United States
                 Environmental Protection
                 Agency
                          Information
                          Clearinghouse
                          (PM 211A)
                          Washington DC 20460
July 1983
X-/EPA
Office of Administrations
Office of Management  Information & Support Services
                 EPA ENVIRONMENTAL

                 DATA BASE AND

                 MODEL DIRECTORY
                 Volume 2 of 2

                 Part 1 of 2 (Pages 1 through  810

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TECHNICAL REPORT DATA
(Please read Instructions on the reverse before completing)
1. REPORT NO. 2, 3. RECIF
4. TITLE AND SUBTITLE 5. REPO
EPA Environmental Data Base and Model Directory Jul
Volume 2 (Parts 1 and 2) e. PERF
7. AUTHOR(S) 8. PERF
9. PERFORMING ORGANIZATION NAME AND ADDRESS 10. PRO
11. CON
12. SPONSORING AGENCY NAME AND ADDRESS 13. TYP
EPA Information Clearinghouse (PM-211A)
Library Systems and Information Office 1*. SPO
U.S. Environmental Protection Agency
401 M St.,- S.W. Washington, D.C. 20460 EPA
'lENT'S ACC ESS^O& N o
RT DATE
y 1983
ORMING ORGANIZATION CODE
ORMING ORGANIZATION REPORT NO.
GRAM ELEMENT NO.
TRACT/GRANT NO.
E OF REPORT AND PERIOD COVERED
NSORING AGENCY CODE
400/03
15. SUPPLEMENTARY NOTES
16. ABSTRACT
Part 1 of Volume 2 begins with the National Institutes of Health/Environmental
Protection Agency (NIH/EPA) Chemical Information System"1 (Accession No. 2209000905)
on page 1 and runs through the Mussell Watch data base (Acession No. 6408000201) on
page 810. Part 2 of' Volume 2 begins with the Coastal Environmental Assessment
Studies on page 812 and runs through the Agricultural Watershed Runoff Model on
page 1625.
17. KEY WORDS AND DOCUMENT ANALYSIS
a. DESCRIPTORS b.lDENTIFIERS/OPEN ENDE

18. DISTRIBUTION STATEMENT ' 19. SECURITY CLASS (Tlus i
20. SECURITY CLASS (This ;

D TERMS C. COSATI Field/Group

Report! 21. NO. OF PAGES
1630
lagel 22, PRICE
EPA Form 2220-1 (R«v. 4-77)    PREVIOUS EDITION is OBSOLETE
                                                   i
                                                   I

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            EPA ENVIRONMENTAL DATA BASE AND MODEL DIRECTORY
                               July 1983
   The EPA Information Clearinghouse is providing this directory as an
information service to the Environmental Protection Agency and,
therefore/- neither makes any statement; concerning the quality or
suitability of the models and data collection data bases, nor accepts
any responsibility for the results of/their use. Readers are direcUd
to the specific contacts associated uf.th each entry for further
information and program acquisition.
                 EPA INFORMATION CLEARINGHOUSE (PM-211A)
                  LIBRARY SYSTEMS AND INFORMATION OFFICE
                  0. S. ENVIRONMENTAL PROTECTION AGENCY
                401 M STREET. S.H., WASHINGTON, D.C. 20460

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                   CONTENTS

VOLUME 1
     Introduction
     Index of Names of Data  Bases and  Models
          Data Bases
          Models
     Index of Organizations
     Index of Discontinued Data Bases  and  Models
          Data Bases
          Models


VOLUME 2
     Index of Complete Records
          Data Bases
          Models

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                          INTRODUCTION

In late 1979, the concept of the Clearinghouse uas originated by the Select
Committee on Monitoring - a group of Program and Regional Division and ORD
Laboratory Directors - and endorsed by the OAA Committee on Monitoring and
information Management prior to the Administrator's order.  These
individuals felt there was a need for a single and exhaustive record of
EPA's environmental data both to certify non-duplication of effort of all
the environmental data available throughout the Agency and to increase the
Clearinghouse's response to EPA management and other federal agencies
seeking information.

The Clearinghouse uas formally established in 1980.  Two publications
resulted from the models and data collections survey. One uas entitled "EPA
Environmental Data Base and Model Index/ May 1981".  It contained office and
chemical indices to the second publication "EPA Environmental Data Base and
Model Index - Draft Directory, May 1981".

During the winter of 1982/83, the Clearinghouse conducted an Agency -.wide
survey to update the descriptions of each environmental measurement data
base and environmental model operated or funded by EPA.  The survey results
described data bases and models.  These descriptions have been automated and
indexed by the Clearinghouse Office as a new component of the NIH/EPA
Chemical Information System (CIS), and the automated file is searched to
identify Agency data and refer users to data bases and models.  Clearly,
however, the information contained in the Inventory cannot describe in
exhaustive detail all aspects of the data bases.  Rather, the function of
the Clearinghouse will be to provide initail searches and sorts within the
level of detail encompassed on these forms and provide referrals to the
contacts listed by the respondents to answer detailed questions or access
the data in question.  Data search and referral services performed by the
Clearinghouse are available to all EPA personnel.  The user may request that
either the Clearinghouse conduct the search, or that the user may perform
his own search on the'system.

This Directory contains descriptions of each of the data bases and models as
they appear in the computerized Inventory.  The Directory is divided into
two volurces; Volume 1, which contains an Introduction, a Names of Data Bases
and Models section, an Organization section, and a Discontinued Data Bases
and Models section} and, Volume 2, which includes the Complete Records
section. The Names of Data Bases and of Models appear separately, each in
alphabetical order, with an accession number that uniquely identifies that
particular data base or model name, and a calendar date which denotes when
the record was updated by the responsible organization.  The Organization
section is in order by the EPA organization which uas requested to respond
to the survey.  The models and data bases are in alphabetical order under
the organization, with accession number and status of the particular data
base or model.  The Discontinued Data Bases and Models section includes
those records that were initially part of the Clearinghouse Inventory, but
are no longer in use.  They are listed in data base or model name order with
its corresponding accession number.  The Complete Records section, which
comprises Volume 2, appears in accession number order with each data base
and model description being replete with its full compliment of field
identifiers and data.

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As part of the CIS/ access to the models and data bases is available on  a
commercial DEC 2060 computer.  Since the Clearinghouse is now an on-going
operation, Computer Output Microfiche (COM) and printed directories will be
updated at least annually. However/ the automated reference file can and
should be kept more current. The Clearinghouse should be notified promptly
of changes in data base content or contact personnel and/ most importantly/
of the addition of new data bases/ models and error corrections so that  the
information and referrals it provides may be accurate as possible.

Comments and suggestions concerning the contents and arrangement of this
Directory are welcome.
                                          V

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                             Accession No.   2209000905

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  National  Institutes  of
    Health/Environmental  Protection  Agency  (NIH/EPA)    Chemical
    Information System
(ACR)  Acronym of Data Base  or Model:  CIS
(MED)  frfedia/Subject of Data Base or  Model:  Air ^Atmospheric  deposition
    ;Blood ;Drinkirig water ^Effluents various ;     Emissions various
    ;Ground water ;Mobile source emissions ;Noise ;     Runoff various
    >Sediment ;soil ;Solid waste ;Surface water various j   Tissue
    various
(ABS)  Abstract/Overview of  Data Base or Model: The  NIH/EPA Chemical
    Information System (CIS)     is a collection of  scientific data
    bases available     through an interactive computer program.   No
    other     publicly available information system  can provide  such
    diverse numeric, as opposed to bibliographic, data  on   so many
    (over 192,000) chemical  substances.  CIS has  a unique linking
    system, the heart of which is the     Structure  and Nomenclature
    Search System (SANSS). SANSS allows the  user, in a  single
    operation, to search     66 different files including  the TSCA
    inventory.  CIS includes 7 major  identification  data bases
    (OH^-TADS; Mass Spectometryj Carbon 13 NMR^ Organic    Crystals:
    Single Crystals and Powder Detraction Infrared Spectroscopy)•
    Additional data bases cover TSCA  plant and production  information,
    toxicology, the Federal   Register, and bibliographic files.
(CTC)  CONTACTS: Subject matter   Stephen R. Heller  (202)382-2424;
    Computer-related  Stephe
(DTP)  Type of data collection or monitoring: Combination/Other
    ambient, point and non-point sources
(STA)  Data Base status; Operational/ongoing
(GRP)  Groups of substances  represented in Data Base:  43 air  priority
    chemicals ?5 NESHAPS ?7  criteria  NAAQS >3 HID CAA  J   129 307 CWA
    jll conventional water ; 41 CMA potential criteria  ; 21 drinking
    water standards ;9 potential drinking water ;29  drinking  water
    monitoring ;   299 hazardous substances  }48 cancelled  pesticides j9
    monitoring pesticides ;     54 TSCA assessment ;RCRA hazardous
    wastes ;16 Pre-RPAR >15  metals
(WPP)  Ncm-pollutant parameters included in  the data base: Biological
    data ^Chemical data ^Collection method Compliance  data ;
    Concentration measures ;Cost/economic data ;Discharge  points  }
    Disposal ^Geographic subdivision  ^Health effects ;lndustry
    ^Inspection data ;   Location ;Manufacturer ^Physical  data
    /Sampling date ;Site description  ;   Temperature >Use  ;Volume/mass
    measures
(DS)  Time period covered by data base: 01-01-30 TO  01-00-83
(TRM)  Termination of data collection: Not anticipated
(FRQ3  Frequency of data collection or sampling: one time  only ;daily
    ;ueekly ^quarterly >semi annually ;annually ;     as needed
(NOB)  Number of observations in data base:  225,000  chemicals(Actual)
(NEI)  Fstimated annual increase of observations in  data base: 25000-500
    00 /yr
(INF)  Data base includes: Raw data/observations ;Summary  aggregate
    observations

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                             Accession Ho.   2209000905      (cont)

(NTS)  Total number of stations or sources  covered in data  base:  1000
(NCS)  No.  stations or sources currently originating/contributing  data:
    66
(NOF)  Number of facilities covered in data base (source monitoring):  (N
    /A)
(GEO)  Geographic c.overage of data base;  International
(LOG)  Data elements identifying location of station or  source  include:
    State ^County ;City ;Town/township ^street address  ;Coordinates
    latitude/longitu Project identifier >lab identifier
(FAC)  Data elements identifying facility include:  Plant facility  name
    ;Plant  location ^Parent corp name ;Parent corp location ;     Street
    address JSIC code
(CDE)  Pollutant identification data are: CAS registry  number
(LIM)  Limitation/variation in data of which user should be aware:  Quali
    ty assurance procedures vary by    data base and source* Frequency
    of data collection    varies for each data base and  source.
(DPR)  Data collect,/anal, procedures conform to CRO guidelines:  Sampiin
    g plan  documented /Collection method documented /Analysis method
    document QA procedures documented
(AND  Lab  analysis based on EPA-approved or accepted methods?  NO
(AUD)  Lab  Audit: Data not based on lab analysis.
(PRE)  Precision: Precision and accuracy estimates partially exist for
    organic crystals and   mass spectometry data    Edit generally
    performed by contractor, some documented/ and some  not.
(C8Y)  Data collected by: Local agency Texas, California and other Air
    Resources Boards ;   State agency Environmental Protection  Agencies
    ^Regional office Surveillance and Analysis Divisions regions)  ;EPA
    lab Environmental Monitoring and Support Lab-Cincinnati,     OH
    ;EPA lab Environmental Research Lab-Athens, GA jEPA  lab
    Environmental Research Lab-Ada, OK /      EPA lab National
    Enforcement Investigations Center ^Contractor lab under contract to
    National Burea standards, & Radian Lab  under contract to EPA.
    ^Contractor Betel, RTI and misc. others }  Other federal agency
    National Institutes of Health Federal  Drug Administration  National
    Bureau  of  EPA headquarters Chemical Information System coordinator
    /Universities, Data Center (England), Hung Sciences  & others
(ABY)  Data analyzed by: Contractor Fein Marguart & Radian Corporation
    international data generators
(IDL)  Laboratory identification: YES
(PR2)  Secondary purpose of data collection: Anticipatory/research
(AUT)  Authorization for data collection: No statutory  requirement:
    Data collection requirement is    to develop a support resource  to
    coordinate and link all EPA chemical files uith the  literature &
    external files.
(OMB)  Data collected/ submit ted using QMS-approved EPA  reporting  forms:,
    NO
(RFP)  Form of available reports and outputs of data base:  Publications
    articles in On-Lirie/ Sciences; Industrial Chemical  News; Journal of
    Chemical Information and Computer Systems*
    mass spectra data (4 volumes and index)
(NUS)  Number of regular users of data base: 1000

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                             Accession  No.   2209000905      (cont)

    Oflice of Planning and Evaluation;
    EPA headquarter offices Office of Toxic  Substances;
    SPA headquarter offices Office of Enforcement;
    EPA headquarter offices Office of Waste  Mater Management;
    EPA headquarter offices Office of Solid  Waste;
    EPA headquarter offices Office of Research and  Development;
    SPA headquarter offices Office of Air, Noise  and Radiation.
    EPA regional  offices
    EPA laboratories
    Other federal agencies
    States
    industry, universities and 20  countries
(CNF)  Confidentiality of data and limits on access: None
(DLC)  Primary physical location of data: Contractor
(DST)  Form of data storage: Magnetic tape ;Magnetic disc
(DAC)  Type of data access; EPA software NIH/EPA-CIS  MIDS:7500000900
    ;EPA hardware DEC PDP-10 (NIH)
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Other  varies  froa
    weekly to annually by data base
(RDBEPA)  Related EPA data bases used in conjunction uith  this data base
    OHM-TADS, STORE!
(RDB)  Non-EPA data bases used in conjunction uith  this  data base:  Lockh
    eed bibliographic   data bases, National Library of  Medicine  data
    bases,   System Development Corporation  data  bases.
(CMP)  Completion of form:
    Mike Weaver
    OFC: CIS User Support Group#  AD: 6565 Arlington Blvd., Falls
    Church, VA  22046#     PH: (800)368-3432
(DF)  Date of form couplet ion: 01-13-83
(NMAT)  Number of substances represented in  data  base:  780
(NCAS)  Number of CAS registry numbers in data base: 1022
(MAT)  Substances represented in data base:
                                         1,2,3,4,10,10-hexachloro-l, 4,4a,5,
    *0,0-diethyl phosphoricacid,0-p-        8,8a-hexahydro-l,4:5,8-endo,
       nitrophenyl ester<311-45-5>          endo-diraetha
    0,0-diethyl-0-(2-pyrazinyl)          l,2,4,-trichlorobenzene<120-82-l>
       phoshorothioO,0-diethyl-s-(2-     1,2,4,5-tetrachlorobenzene
       ethylthio)ethyi)ester of             <95-94-3>
       phosphorodithioicacid             l,2-dibromo-3-chloropropane (dbcp)
    0,0-diethyl-s-nethyl ester of phos      <96-12-8>
       1,1,1,2-tetrachloroethane         l,2-dlbromoethane<106-93-4>
       <630-20-6>                        l,2-dichiorobenzene<95-50-l>
    l,l,l-trichloroethane<71-55-6>       l,2-dichloroethane<107-06-2>
    1,1,2,2,-tetrachloroethane           l,2-dichloropropane<78-87-5>
       <79-34-5>                          1,2-dichloropropylene<563-54-2>
    lyl,2-trlchloroethane<79-00-5>       l,2-diethylhydrazine<1615-80-l>
    l,l,2-trichloroethene<79-01-6>       l,2-dlroethylhydrazine<540-73-8>
    1,l-dichloroethane<75-34-3>          l,2-diphenylhydrazine<122-66-7>
    1,l-dichloroethylene<75-35-4>        l,2-propanediol<57-55-6>
    l,l-diniethylhydrazine<57-14-7>       1,2-trans-dichloroethylene
                                            <156-60-5>

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                         Accession No.  2209000905
                  (cent)
1,3,4 trichlorobenzene<120-82-l>
1, 3-dichlorobenzene<541-73-l>
l,3-dichloropropene<542-75-6>
l,3-pentadiene<504-60-9>
1, 3-propane sultone<1120-71-4>
l,4-dichloro-2-butene<110-57-6>
l,4-dichlorobenzene<106-46-7>
1, 4-dioxane<123-91-l>
If 4-naphthoguinone<130-15-4>
l-(o-chlorophenyl)thiourea
   <5344-82-l>
l-(p-chlorobenzoyl)-5-methoxy-2-
   methylindole-3-acetic acid
l-chloro-2,3-epoxypropane
   <106-89-8>
l-naphthyl-2-tbiourea<86-88-4>
l-naphthylamine<134-32-7>
2,2-dlchloropropionic acid
   <75-99-0>
2,3,4,6-tetrachlorophenol<58-90-2>
2f4f5-t amines
2/4,5-t esters
2,4,5-t salts
2,4,5-tp acid esters
2, 4,5-trichlorophenol<95-95-4>
2f4,5-trichlorophenoxyacetic acid
   (T)<93-76-5>
2,4,5-trichlorophenoxypropionic
   acid (TP)<93-72-l>
2,4,6-trichlorophenol<88-06-2>
2,4,7,8-te tr achlorodibenzo-p-
   dioxin (tcdd)
2,4-d acid<94-75-7>
2,4-d esters
2,4-dichlorophenol<120-83-2>
2,4-dichlorophenoxyacetic acid (2,
   4-d)<94-75-7>
2,4~dimethylphenol
2,4-dinitrophenol<51-28-5>
2,4-dinitrotoluene<121-14-2>
2, 4-dithiobiuret<541-53-7>
2,6-dichlorophenol<87-65-0>
2,6-diaitrotoluene<606-20-2>
2-acetylaminof lourene
2-butanone peroxide<1338-23-4>
2-chloroethylvlnyl ether<110-75-8>
2-chloronaphthalene<91-58-7>
2-chlorophenol<95-57-8>
2-cyclohexyl-4,6-dinitrophenoi
   <131-89-5>
2-fluoroacetaffiide Cl081X640-19-7>
2-methyl-2-
2-methylaziridine<75-55-8>
2-fflethyllactonitrile<75-86-5>
2-naphthylainine<91-59-8>
2-nitrophenol<88-75-5>
2-nitropropajie<79-46-9>
2-picoline<109-06-8>
2-propyn-l-01<107-19-7>
2-sec butyl-4,6-dinitrophenol
   <88-85-7>
3,3r-dichlorobenzidine<91-94-l>
3,3*-dimethoxyben2idine<119-90-4>
3,3 '-dimethyl-KiBethylthio) -2-
   butanone-0-( (methylaraino )
   carbonyDoxime
3,3 '-dimethylbenzidlne
   <119-9 3,4-benzof luoranthene
   <205-99-2>
3,4-dihydroxy-alpha-(niethylaniino)-
   roethyl benzyl alcohol
3-chloropropionitrile<542-76-7>
3-aethylcholanthrene<56-49-5>
39196-18-4>
4,4*-ddd(p,p*tde)
4,4*-dde(p,p*-ddx)<72-55-9>
4,4'-ddt<50-29-3>
4, 4*-methylene-bis-(2-chloroanilin
4,6-dinitro-o-cresol<534-52-l>
4-Aminopyridine<504-24-5>
4-broraophenyl phenyl ether
   <101-55-3>
4-chloro-o-toluidine hydrochloride
   <3165-93-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
5-( aminomethyl)-3-lsoxazolol
   <2763-96-4>
5-nitro-o-toluidine<99-5S-8>
6-amino-l,la, 2,8,8a,8b-hexahydro-
   8-(hydroxyfflethyl) 8-iaethoxy-5-
   methyl
   -caraba
7, 12-dimethylbenz( a) anthracene
   <57-97-6>
7-oxab icy col( 2.2.1 )heptane- 2,3-
   dicarboxylic acid<145-73-3>
acenaphthene< 83-32 -9>
acenaphthyleneC20 8-96-8>

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                         Accession No.   2209000905
                  (cont)
acetaldehyde<75-07-0>
acetic acid<64-19-7>
acetic anhydride<108-24-7>
acetone cyanohydrin<75-8€-5>
acetone<67-64-l>
acetonitrile<75-05-8>
acetophenone<98-86-2>
acetyl broraide<506-96-7>
acetyl chloride<75-36-5>
acid mist
acidity
acroleiiXl 07-02- 8>
acrylaroide<79-06-l>
acrylic acid<79-10-7>
acrylonitrile<107-13-l>
adipic acid<124-04-9>
alachlor<15972-60-8>
aldrin<309-00-2>
alkalinity
allyl alcohol<107-18-6>
allyl chlori
alpha, alpha-dime thylbenzylhydr o-
   peroxide<80-15-9>
alpha,alpha-dimethylphenethylaroine
   <122-09-8>
alpha-chlorotoluene<100-44-7>
aluminum phosphide<20859-73-8>
aluminum sulfate<10043-Ol-3>
aluBinum<7429-90-5>
anitraz (baam)<33089-61-l>
amitrole<61-82-5>
aEmonia<7664-41-7>
ammonium acetate<63l-61-8>
ammonium benzoate<1863-63-4>
ammonium bicarbonate<1066-33-7>
ammonium bichromate<7789-09-5>
ammonium bifluoride<1341-49-7>
ammonium bisulfite<10192-30-0>
ammoniura carbamate
ammonium carbonate<506-87-6>
ammoniuffl chloride<12125-02-9>
ammonium chroraate<7788-98-9>
ammonium citrate<7632-50-0>
ammonium fluoborate<13826-83-0>
ammonium fluorlde<12125-01-8>
ammonium hydroxide<1336-21-6>
ammonium oxalate<1113-38-8>
ammonium picrate<131-74-8>
ammonium silicofluoride
   <16919-19-0>
ammonium sulfaiate<7773-06-0>
ammonium sulfide<12135-76-l>
ammonium sulf ite<10196-04-0>
ammonium tartrate<3164-29-2>
ammonium thiocyanate<1762-95-4>
ammonium thiosulf a te< 7783-1 8-8>
amyl acetate<628-63-7>
aniline<62-53-3>
anthracene<120-12-7>
antimony pentachloride<7647-18-9>
antimony potassium tartrate
antimony tribromide<7789-61-9>
antimony trichloride<10025-91-9>
antimony trifluoride<7783-56-4>
antimony trioxide<1309-64-4>
antimony<7440-36-0>
aramite<140-57-8>
arsenic acid<1327-52-2>
arsenic disul£ide<1303-32-8>
arsenic pentoxide<1303-28-2>
arsenic trichloride<7784-34-l>
arsenic trioxide<1327-53-3>
arsenic trisulf ide
arsenic<7440-38-2>
asbestos<1332-21-4>
atrazine<1912-24-9>
auramine<2465-27-2>
azaserine<115-02-6>
banvel-d<1918-00-9>
barium cyanide<542-62-l>
barium<7440-39-3>
benefln<1861-40-l>
benomyl<17804-35-2>
benz(c)acridine<225-51-4>
benzac
benzal chloride<98-87-3>
benzene<71-43-2>
benzenesulfonyl chloride<98-09-9>
banzenethiol<108-98-5>
benzidine<92-87-5>
benzo(a)anthracene<56-55-3>
benzo(a)pyrene<50™32-8>
benzo
benzo(k)f luoranthene<207-08-9>
benzole acid<65-85-0>
benzonitrlle<100-47-0>
benzotrichloride<98-07-7>
benzoyl chloride<98-88-4>
benzyl chlorlde<100-44-7>
beryllium chlorlde<7787-47-5>
beryllium dust
beryllium f luorlde<7787-49-7>
beryllium nitrate<13597-99-4>

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                         Accession No.   2209000905
                  (cont)
beryllium<7440-41-7>
bhc (lindane)-gamma<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-de 1 ta<31 9-86-Q>
biphenyl<92-52-4>
bis(2-chloroethoxy)methane
bis(2-chloroethyl)ether
b is (2-chloroisopropyl) ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis(chloromethyl)ether<542-88~l>
bismuth compounds<7440-69-9>
boron compounds<7440-42-8>
brondne<7726-95-6>
bromoacetone<598-31-2>
broicobenzene<108-86-l>
bromochlorobenzene<28906r38-9>
bromodichloromethane<75-27-4>
bromoniethane<74-83-9>
brucine<357-57-3>
butachlor<23184-66-9>
butyl acetate<123-86-4>
butyl benzyl phthalate<85-68-7>
butylaraine<109-73-9>
butyric acid<107-92-6>
cacedylic acid and salts<75-60-5>
cadmium acetate<543-90-8>
cadffiiura bromide<7789-42-6>
cadmium chloride
cadmium<7440-43-9>
calcium arsenate<7778-44-l>
calcium arsenite<52740-16-6>
calcium carbide<75-20-7>
calcium chromate<13765-19-0>
calcium cyanide<592-01-8>
calcium dodecylbenzenesulfonate
   <26264-06-2>
calcium hydroxide<1305-62-0>
calcium hypochlorite<7778-54-3>
calcium oxide<1305-78-8>
captan<133-06-2>
carbaryl<63-25-2>
carbofuran<1563-66-2>
carbon disulfide<75-15-0>
carbon monoxide<630^08-0>
carbon tetrachloride<56-23-5>
carbohyl f luoride<353-50-4>
chloral<75-87-6>
chlorambucil<305-03-3>
chloranll<118-75-2>
chlordane<57~74-9>
chlorinated naphthalenes
chlorine<7782-50-5>
chloroacetaldehyde<107-20-0>
chlorobenzene<108-90-7>
Ohlorobenzilate<510-15-€>
chlorodibroraomethane<124-48-l>
chloroethane<75-00-3>
chloroethene<75-01-4>
chloroethyl vinyl cther<110-75-8>
chlorofluorocarbons
chloroform<67-66-3>
chloromethane<74-87-3>
chloromethyl methyl Aether
   <107-30-2>
chloroprene<126-99-8>
chlorosulfonic acid<7790-94-5>
chlorpyrifos<2921-88-2>
chromic acetate<1066-30-4>
chromic acid<7738-94-5>
chromic sulfate<10101-53-8>
chromium<7440-47-3>
chroraous chloride<10049-05-5>
chrysene<218-01-9>
cis-1^2-dichloroethylene<156-59-2>
coal tar<8007-45-2>
cobalt<7440-48-4>
cobaltous bromide<7789-43-7>
cobaltous formate<544-18-3>
cobaltous sultanate
copper cyanide<544-92-3>
copper<7440-50-8>
coumaphos<56-72-4>
creosote<8021-39-4>
cresol<1319-77-3>  .
cresylic acid<1319-77-3>
crotonaldehyde<4170-30-3>
cumene<98-82-8>
cupric acetate<142-71-2>
cupric acetoarsenite<12002-03-8>
cupric chloride<7447-39-4>
cupric nitrate<3251-23-8>
cupric oxalate<814-91-5>
cupric sulfate amnoniated
   <10380-29-7>
cupric sulfate<7758-98-7>
cupric tartrate<815-82-7>
cyanazine<2l725-46-2>
cyanide<57-12-5>
cyanogen bromide<506-68-3>
cyanogen chloride<506-77-4>

-------
                         Accession No.  2209000905
                  (cent)
cyanogen<460-19-5>
cyclohexane<110-82-7>
cyclohexanone<108-94-l>
cyclophosphamide<50-18-0>
daunomycin<20830-8l-3>
ddd(tde)
ddt
demeton<8065-48-3>
di-isopropylfluorophosphate
   <55-91-4>
di-n-butyl phthalate<84-74-2>
dl-n-octyl phthalate<117-84-0>
di-n-propylnitrosamine<621-64-7>
dlalkyl ethers
dialJcyl phosphates
diallate<2303-16-4>
diazino«<333-41-5>
dibenzo(a^h)anthracene<53-70-3>
dibenzofuran<132-64-9>
dibenzol(a,i)pyrene<189-55-9>
dibromochloromethane<124-48-l>
dibromoraethane<74-95-3>
dibutyl phthalate<84-74-2>
dicBmba<1918-00-9>
dichlobenil<1194-65-6>
dicfclone<117-GO-6>
dichloroben2eiie<25321-22-6>
dichlorobromomethane<75-27-4>
dichlorod!fluoromethane<75-71-8>
dichloroiodoraethane<594-04-7>
dichlorontethane<75-09-2>
dichlorophenylarsine<696-28-6>
dichioropropane<26638-19-7>
dichloropropenc-dichloropropane
   irixture
d!chloropropene<26952-23-8>
dichlorvos (ddvp)<62»73-7>
dieldrin<60-57-l>
diepoxybutane<1464-53-5>
diethyl phthalate<84-66-2>
diethylamine<109-89-7>
diethylarsine
diethylstilbestroK56-53-l>
dlhydrosafrole<94-58-6>
dimcthoate<60-51-5>
dimethyl phthalate<131-ll-3>
dimethyl sulfate<77-78-l>
diraethylamine<124-40-3>
dimethyIcarbaraoyl chloride
   <79-44-7>
dimethylnitrosawlne<62-75-9>
dinitrobenzene<25154-54-5>
dinitrophenol
dinitrotoluene<25321-14-6>
dioxane<123-91-l>
dioxin<828-00-2>
diphenyl ether<101-84-8>
diphenylhydrazine<38622-18-3>
dip ropy lamine< 142-8 4-7>
diquat<2764-72-9>
dissolved oxygen
dissolved solids
disulfoton<298-04-4>
diuron<330-54-l>
dodecylbenzenesulfonic acid
   <27176-87-0>
ebdc's (€thylenebisdithlocarbaaate
   s)
edta<60-00-4> =
endosulfan sulf ate
endosulfan-alpha<959-98-8>
endosul t an-beta<33213-65-9>
endosulfan<115-29-7>
endrin aldehyde<742l-93-4>
endrin<72-20-8>
epichlorohydrln<106-89-8>
epn (ethyl-p-nitrophenyl thionoben
   zenephosonate)<2104-64-5>
erbon<136-25-4>
ethyl  ethyl acrylate<140-88-5>
ethyl chloride<75-00-3>
ethyl ether<60-29-7>
ethyl raethacrylate<97-63-2>
ethyl raethanesulfonate<62-50-0>
ethyl parathion<56-38-2>
ethylbenzene<100-41-4>
ethylcyanide<107-12-0>
ethylene bisdithiocarbaRate
ethylene dibronide (edb)<106-93~4>
ethylene dichloride<107-06-2>
ethylene oxide<75-21-8>
ethylene thiourea<96-45-7>
ethylenediamlne<107-15-3>
ethylene imine<151-56-4>
fecal coliforro
ferric ammonium citrate<1185-57-S>
ferric airmoniuffi oxalate
   <14221-47-7>
ferric chloride<7705-08-0>
ferric cyanide
ferric f luoride<7783-50-8>
ferric nitrate<10421-48-4>
ferric sulf ate<10028-22-5>

-------
                         Accession No.  2209000905
                  (cont)
ferrous ammonium sulfate
   <10045-89-3>
ferrous chloride<7758-94-3>
ferrous sulf ate<7720-78-7>
fluoranthene<206-44-0>
fluorene<86-73-7>
fluorides
fluorine<7782-41-4>
flucroacetic acid, sodium salt
flucrotrlchloromethane<75-69-4>
forroaldehyde<50-00-0>
formic acid<64-18-6>
furaaric acid<110-17-8>
furan<110-00-9>
furfural<98-01-l>
glycidylaldehyde
gross alpha
guthion<86-50-0>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene
hexachlorobutadiene<87-68-3>
hexachlorocyclohexane<58-89-9>
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
hexachlorophene<70-30-4>
hexachloropropene<1888-71-7>
hexacloroethane<67-72-l>
hexaethyl tetraphosphate<757-58-4>
hydrazine<302-01-2>
hydrocarbons
hydrochloric acid<7647-01-0>
hydrocyanic acid<74-90-8>
hydrofluoric acid<7664-39-3>
hydrogen cyanide<74-90-8>
hydrogen sulfide<7783-06-4>
hydroxydimethyl arsine oxide
   <75-60-5>
indeno (l,2/3-cd)pyrene<193-39-5>
iodoraethane<74-88-4>
iron and compounds<7439-89-6>
iron dextran<9004-66-4>
iron<7439-89-6>
isobutyl alcohol<78-83-l>
isocyanic acid/ methyl ester
   <624-83-9>
lsophorone<78-59-l>
isoprene<78-79-5>
Isopropanolamine dodecylbenzene
   sulfonate<54590-52-2>
isosafrole
kelthane<115-32-2>
kepone<143-50-0>
lasiocarpine<303-34-4>
lead acetate<301-04-2>
lead arsenate<3687-31-8>
lead chloride<7758-95-4>
lead fluoride<7783-46-2>
lead fluoroborate<13814-96-5>
lead iodide<10101-63-0>
lead nitrate<10099-74-8>
lead phosphate<7446-27-7>
lead stearate<1072-35-l>
lead subacetate<1335-32-6>
lead sulfate<7446-14-2>
lead sulfide<1314-87-0>
lead thiocyanate<592-87-0>
lead<7439-92-l>
llndane<58-89-9>
lithium and compounds<7439-93-2>
lithium chromate<14307-35-8>
ra-cresol<108-39-4>
n-xylene<108-38-3>
malathion<121-75-5>
maleic acid<110-16-7>
maleiC anhydride<108-31-6>
maleic hydrazide<123-33-l>
malononitrile<109-77-3>
manganese<7439-96-5>
manmade beta
mate
raelphalan<148-82-3>
mercaptodiinethur<2032-65-7>
mercuric cyanide<592-04-l>
mercuric nitrateC10045-94-0>
mercuric sulfate<7783-35-9>
mercuric thiocyanate<592-85-8>
mercurous nitrate
mercury fulniinate<628-86-4>
mercury<7439-97-6>
methanearsenates
methanethioi<74-93-l>
raethanol<67-56-l>
methapyrllene<91-80-5>
fflethorayl<16752-77-5>
»ethoxychlor<72-43-5>
methyacrylonitrile<126-98-7>
methyl chlorocarbonate<79-22-l>
methyl chloroform<71-55-6>
methyl ethyl ketone (raek)<78-93-3>
methyl ethyl ketone peroxide
   <1338-23-4>
methyl hydrazine<60-34-4>
methyl lodide<74-88-4>

-------
                         Accession No.  2209000905
                  (cont)
methyl isobutyl ketone<108-10-l>
methyl raercaptan<74-93-l>
methyl methacrylate<80-62-6>
methyl parathion<298-00-0>
methylthiouracil<56-04-2>
taevinphos<77 86-34-7>
mexacarbate<3l5-l8~4>
microbiology coliform bacteria
mirex<2385-85-5>
molybdenum and compounds
   <7439-9S-7>
monoethylamine<75-04-7>
monomethylaraine<74-89-5>
monuron<15Q-68-5>
n,n-bis(2-chloroethyl)-2-naphthyla
   nsine<494-03-l>
n-alkanes clO-c30
n-butyl alcohol<71-36-3>
n-butyl phthalate<84-74-2>
n-methyl-n'-nitro-n-nitrosoguanidi
   ne<70-25-7>
n-nitroso-n-ethylurea<759-73-9>
n-nitroso-n-methylurea<684-93-5>
n-nl troso-n-raethylur ethane
   <615-53-2>
n-nitrosodi-n-butylamine<924-16-3>
n-nitrosodi-n-propylamine
   <62l-64-7>
n-nitrosodiethanolaraine<1116-54-7>
n-nitrosodiethylamine<55-18-5>
n-nitrosodiraethylaraine<62-75-9>
n-nitrosodiphenylaraine<86-30-6>
n-nitrosomethylvinylamine
n-nitrosoplperidine<100-75-4>
n-nitrosopyrrolidine<930-55-2>
n-phenylthlourea<103-85-5>
n-propylaraine<107-10~8>
naled<300-76-5>
naphthalene<91-20-3>
naphthenic acid<1338-24-5>
nickel ammonium sulfate<7785-20-8>
nickel carbonyl<12612-55-4>
nickel chloride<7718-54-9>
nickel cyanide<557-19-7>
nickel hydroxide<12054-48-7>
nickel nitrate<13138-45-9>
nickel sulfate<7786-81-4>
nickel<7440-02-0>
nicotine and salts<54-ll-5>
nitralin<4726-14-l>
nitrate<14797-55-8>
nitrates/nitrites
nitric acid<7697-37-2>
nitric oxide<10102-43-9>
nitriloacetates
nitroben2ene<98-95-3>
nitrogen dioxide<10102-44-0>
nitrogen peroxide<10102-44-0>
nitrogen tetroxide<10544-72-6>
nitrogen<7727-37-9>
nitroglycerine<55-63-0>
nitrophenol<25154-55-6>
nitrosomethylurea<684-93-5>
nitrosomorpholine<59-89-2>
nitrotoluene
nonaphthalene
o-cresol<95-48-7>
o-methoxyphenol<90-05-l>
o-toluidine hydroctiloride
   <636-21-5>
o-xylene<95-47-6>
octarne thy Ipyrophosphor amide (OMPA)
   <152-16-9>
oil and grease
oleyl alcohol condensed with 2
   moles ethylene oxide
osmium tetroxide<20816-12-0>
oxygen demand
ozone<10028-15-6>
p-chloro-m-cresol<59-50-7>
p-chloroaniline<106-47-8>
p-cresol<106-44-5>
p-dichlorobenzene<106-46-7>
p-dimethylarainoazobenzene<60-ll-7>
p-nitroaniline<100-01-6>
p-xylene<106-42-3>
PH
P ar aformaldehyde<30525-89-4>
paraldehyde<123-63-7>
paraquat<4685-14-7>
parathion<56-38-2>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-2l-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>

-------
                         Accession No.   2209000905
                  (cont)
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorobenzene<608-93-5>
pentachloroethane<76-0l-7>
pentachloronitrobenzene (PCN8)
   <82-68-8>
pentachlorophenol<87-86-5>
perchloroethylene<127-18-4>
perthane<72-56-0>
phenacetin<62-44-2>
phenanthrene<85-01-8>
phenarsazine chlorlde<578-94-9>
phenol<108-95-2>
phenyl dlchloroarsine<696-28-6>
phenylacetic acid<103-82-2>
phenylraercury acetate<62-38-4>
Phorate 298-0202
phorate<298-02-2>
phosgene<75-44-5>
phosophorothioic acid/o/o-
   dimethyl ester/o-ester with n/
   15-dimethylbenzene
phosphine<7803-51-2>
phosphoric acid<7664-38-2>
phosphorus and compounds
   <7723-14-0>
phosphorus oxychloride<10025-87-3>
phosphorus pentasulfide<1314-80-3>
phosphorus sulfide<1314-80-3>
phosphorus trichloride<7719-12-2>
phosphorus<7723-14-0>
photon emitters
phthalic acid<88-99-3>
phthallc anhydride<85-44-9>
piperonyl butoxide<51-03-6>
polybrominated biphenyls (PBBs)
polychlorinated biphenyls (PCBs)
potassium arsenate<7784-41-0>
potassium arsenite<10124-50-2>
potassium bichrOfflate<7778-50-9>
potassium chromate<7789-00-6>
potassium cyanide<151-50-8>
potassium hydroxlde<1310-58-3>
potassium perraanganate<7722-64-7>
potassium silver cyanide<506-61-6>
proriaraide<23950-58-5>
propachlor<1918-16-7>
propanil<709-98-8>
propargite<2312-35-8>
proplonic acid<79-09-4>
propionic anhydride<123-62-6>
propionitrile<107-12-0>
proplyene oxide<75-56-9>
propoxur<114-26-l>
propylene oxlde<75-56-9>
pyren«<129-00-0>
pyrethrin<121-29-9>
pyridine<110-86-l>
guinoline<91-22-5>
quinones
radium 226<13982-63-3>
radium 228<15262-20-1>
radon<10043-92-2>
reserpine<50-55-5>
resorcinol<108-46-3>
ronnel<299-84-3>
rotenone<83-79-4>
s/s/s-tributyl phosphorotrithioate
   <78-48-8>
saccharin<81-07-2>
safrole<94-59-7>
secondary amines
selenious acid<7783-00-8>
selenium oxide<12640-89-0>
selenium sulflde<7446-34-6>
selenlum<7782-49-2>
selenourea<630-10-4>
silver cyanide<506-64-9>
silver nitrate<7761-88-8>
silver<7440-22-4>
silvex<93-72-l>
sifflazine<122-34-9>
sodium and compounds<7440-23-5>
sodium arsenate<7631-89-2>
sodium arsenlte<7784-46-5>
sodium azide<26628-22-8>
sodium bichroir,ate<10588-01-9>
sodium bifluoride<1333-83-l>
sodium bisulfite<7631-90-5>
sodium chromate<7775-ll-3>
sodium cyanide<143-33-9>
sodium dodecylbenzenesulfonate
   <25155-30-0>
sodium fluoride<7681-49-4>
sodium fluoroacetate (1080)
   <62-74-8>
sodium hydrosulfide<16721-80-5>
sodium hydroxlde<1310~73-2>
sodium hypochlorite<7681-52-9>
sodium niethylate<124-41-4>
sodium nitrite<7632-00-0>
sodium phosphate/ dibasic
   <7558-79-4>
                         10

-------
                         Accession No.  2209000905
                  (cent)
sodium phosphate/ tribasic
   <7601-54-9>
sodium selenite<10102-18-8>
sodium <7440-23-5>
streptozotocin
strobane<8001-50-l>
strontium chromate<7789-06-2>
strontium sulfide<13l4-96-l>
strychine<57-24-9>
strychnine<57-24-9>
styrene<100-42-5>
sulfates
sulfides
sulfonamide
sulfur dioxide<7446-09-5>
sulfur raonochloride<10025-67-9>
sulf uric acid<7664-93-9>
suspended solids
tde<72-54-8>
terpenes
tetrachloroethene<127-18-4>
tetrachloroethylene<127-18-4>
tetrachloromethane<56-23-5>
tetraethyl dithiopyrophosphate
   <3689-24-5>
tetraethyl lead<73-00-2>
tetraethyl pyrophosphate<107-49-3>
tetrahydofuran
tetranitrontethane<509-14-8>
thallic oxide<1314-32-5>
thallium acetate<563-68-8>
thallium carbonate<29809-42-5>
thallium chloride<7791-12-0>
thallium nitrate<10102-45-l>
thallium selenite
thallium sulfate<7446-18-6>
thallium<7 440-28-0>
thioacetamide<62-55-5>
thlophanate me thy K23564-0 5-8>
thiosemlcarbazide<79-19-6>
thiourea<62-56-6>
thitram<137-26-8>
toluene dlisocyanate<2647l-62-5>
toluene<108-88-3>
toluenediainine<25376-45-8>
total reduced sulphur
total suspended particulates
toxephene<8001-35-2>
triallate<2303-17-5>
tribromomethane<75-25-2>
tributyl phosphorotrithioate
   <78-48-8>
trichlor£on<52-68-6>
trichloroethane<25323-89-l>
trichloro«thene<79-01-6>
trichloroethylene<79-01-6>
trichlorof luoromethane<75-69-4>
trichlorOBethanethlol<75-70-7>
trichlorophenol (TCP)<25167-82-2>
triethanolamine dodecylbenzenesulf
   onate<27323-41-7>
trie thy iamine<121-44-8>
trifluraline (treflan)<1582-09-8>
trimethylaniine<75-50-3>
trinitrobenzene<99-35-4>
tris(2/ 3- dibroraop ropy 1) phosphate
   <126-72-7>
trypan blue<72-57-l>
trysben<50-31-7>
turbidity
uracil mustard<66-75-l>
uranium<7440-61-l>
uranyl acetate<541-09-3>
uranyl riitrate<10102-06-4>
urethane<51-79-6>
vanadic acid/ ammonium salt
vanadium pentoxide<1314»62-l>
vanadiura<7440-62-2>
vanadyl sulfate<27774-13-6>
vinyl acetate<108-05-4>
vinyl chloride<75-01-4>
vinylidene chlorid*<75-35-4>
xylene<1330-20-7>
xylenol<1300-71-6>
zinc ac etate< 557-3 4-6 >
zinc ammonium chloride
zinc borate<1332-07-6>
zinc broraide<7699-45-6>
zinc carbonate<3486-35-9>
zinc chloride<7646-85-7>
zinc cyanide
zinc fluoride<7783-49-5>
zinc formate<557-41-5>
zinc hydrosulfite<7779-86-4>
zinc nitrate<7779-88-6>
zinc phenol sulfonate<127-82-2>
zinc phosphide<1314-84-7>
zinc silicofluoride<16871-71-9>
zinc sul£ate<7733-02-0>
zinc<7440-66-6>
zirconium nitrate<13746~89-9>
zlrconiuft potassium fluoride
   <16923-95-8>
                         11

-------
                             Accession No.   2209000905     (cont)

    zirconium sulfate        potassiutt<7440-09-7>
    zirconium tetrachlorlde              propazine<139-40-2>
       <10026-ll-6>     barium 140       streptozotocin<18883-66-4>
       <14798-08-4>                      strontium 89<14158-27-l>
    carbon 14<14762-75-5>                strontium 90<10098-97-2>
    cesium 137<10Q45-97-3>               titaniura<7440-32-6>
    iodine 129<15046-84-l>               tritium<10028-17-8>
    iodine 131<10G43-66-0>               uranium 234<13966-29-5>
    krypton 85<13983-27-2>               uranium 235<15117^96-1>
    Plutonium 238<13981-16-3>            zinc cyanide<557-21-l>
    Plutonium 239<15117-48-3>
(CAS)  CAS registry numbers of substances included in data base: 311-45-
    5; 630-20-6; 71-55-6; 79-34-5;    79-00-5; 79-01-6; 75-34-3;
    75-35-4;  57-14-7; 120-82-1; 95-94-3;       96-12-8; 106-93-4;
    95-50-1;  107-06-2; 78-87-5; 563-54-2; 1615-80-1;   540-73-8;
    122-66-7; 57-55-6; 156-60-5; 120-82-1;  541-73-1; 542-75-6;
    504-60-9; 1120-71-4; 110-57-6; 106-46-7; 123-91-1; 130-15-4;
    5344-82-1;  106-89-8; 86-88-4; 134-32-7; 75-99-0; 58-90-2; 95-95-4;
    93-76-5;  93-72-1; 88-06-2; 94-75-7; 120-83-2; 94-75-7; 105-67-9;
    51-28-5;  121-14-2; 541-53-7; 87-65-0; 606-20-2; 1338-23-4;
    110-75-8;       91-58-7; 95-57-8; 131-89-5; 640-19-7; 80-62-6;
    75-55-8;  75-86-5;      91-59-8; 88-75-5; 79-46-9; 109-06-8;
    107-19-7; 88-85-7; 91-94-1;      119-90-4; 542-76-7; 56-49-5;
    72-55-9;  50-29-3; 101-14-4; 534-52-1;    504-24-5; 101-55-3;
    316E-93-3;  7005-72-3; 100-02-7; 2763-96-4;   99-55-8; 57-97-6;
    145-73-3; 83-32-9; 208-96-8; 75-07-0; 64-19-7;      108-24-7;
    75-86-5;  67-64-1; 75-05-8; 98-86-2; 506-96-7; 75-36-5;
    107-02-8; 79-06-1; 79-10-7; 107-13-1; 124-04-9; 15972-60-8;
    309-00-2;      107-18-6; 107-05-1; 80-15-9; 122-09-8; 100-44-7;
    20859-73-8;     10043-01-3; 7429-90-5;  33089-61-1; 61-82-5;
    7664-41-7;  631-61-8;      1863-63-4; 1066-33-7; 7789-09-5;
    1341-49-7;  10192-30-0; 1111-78-0;    506-87-6; 12125-02-9;
    7788-98-9;  7632-50-0; 13826-83-0; 12125-01-8;   1336-21-6;
    1113-38-8;  131-74-8; 16919-19-0; 7773-06-0; 12135-76-1;
    10196-04-0; 3164-29-2; 1762-95-4; 7783-18-8; 628-63-7; 62-53-3;
    120-12-7; 7647-18-9; 11071-15-1; 7789-61-9; 10025-91-9; 7783-56-4;
    1309-64-4;  7440-36-0; 140-57-8; 1327-52-2; 1303-32-8; 1303-28-2;
    7784-34-1;  1327-53-3; 1303-33-9; 7440-38-2; 1332-21-4; 1912-24-9;
    2465-27-2;  115-02-6; 1918-00-9; 542-62-1; 7440-39-3; 1861-40-1;
    17804-35-2; 225-51-4; 98-87-3; 71-43-2; 98-09-9; 108-98-5; 92-87-5;
    56-55-3;  50-32-8; 191-24-2; 207-08-9; 65-85-0; 100-47-0; 98-07-7;
    98-88-4;  100-44-7; 7787-47-5; 7787-49-7; 13597-99-4; 7440-41-7;
    58-89-9;  319-84-6; 319-85-7; 319-86-8;  92-52-4; 111-91-1; 111-44-4;
    39638-32-9; 117-81-7; 542-88-1; 7440-69-9; 7440-42-8; 7726-95-6;
    598-31-2; 108-86-1; 28906-38-9; 75-27-4; 74-83-9; 357-57-3;
    23184-66-9; 123-86-4; 85-68-7; 109-73-9; 107-S2-6; 75-60-5;
    543-90-8;      7789-42-6; 7440-43-9; 7778-44-1; 52740-16-6;
    75-20-7;  13765-19-0;     592-01-8; 26264-06-2; 1305-62-0;
    7778-54-3;  1305-78-8; 133-06-2;      63-25-2; 1563-66-2; 75-15-0;
    630-08-0; 56-23-5; 353-50-4; 75-87-6;    305-03-3; 118-75-2;
    57-74-9;  7782-50-5; 107-20-0; 108-90-7; 510-15-6;      124-48-1;
    75-00-3;  75-01-4; 110-75-8; 67-66-3; 74-87-3; 107-30-2;


                             12

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                         Accession No.  2209000905     (cant)

126-99-8; 7790-94-5; 2921-88-2; 1066-30-4; 7738-94-5; 10101-53-8;
7440-47-3; 10049-05-5; 218-01-9; 156-59-2; 8007-45-2; 7440-48-4;
7789-43-7; 544-18-3; 544-92-3; 7440-50-8; 56-72-4; 8021-39-4;
1319-77-3; 1319-77-3; 4170-30-3; 98-82-8; 142-71-2; 12002-03-8;
7447-39-4; 3251-23-8; 814-91-5; 10380-29-7; 7758-98-7; 815-82-7;
21725-46-2; 57-12-5; 506-68-3; 506-77-4; 460-19-5; 110-82-7;
108-94-1; 50-18-0; 20830-81-3; 8065-48-3; 55-91-4; 84-74-2;
117-84-0;      621-64-7; 2303-16-4; 333-41-5; 53-70-3; 132-64-9;
189-55-9; 124-48-1;      74-95-3; 84-74-2; 1918-00-9; 1194-65-6;
117-80-6; 25321-22-6;    75-27-4; 75-71-8; 594-04-7; 75-09-2;
696-28-6; 26638-19-7;       26952-23-8; 62-73-7; 60-57-1;
1464-53-5; 84-66-2; 109-89-7; 56-53-1;       94-58-6; 60-51-5;
131-11-3; 77-78-1; 124-40-3; 79-44-7; 62-75-9;      25154-54-5;
25321-14-6; 123-91-1; 828-00-2; 101-84-8; 38622-18-3;     142-84-7;
2764-72-9; 298-04-4; 330-54-1; 27176-87-0; 60-00-4;    1031-07-8;
959-98-8; 33213-65-9; 115-29-7; 7421-93-4; 72-20-8;   106-89-8;
2104-64-5; 136-25-4; 563-12-2; 140-88-5; 75-00-3; 60-29-7;
97-63-2; 62-50-0; 56-38-2; 100-41-4; 107-12-0; 106-93-4; 107-06-2;
75-21-8; 96-45-7; 107-15-3; 151-56-4; 1185-57-5; 14221-47-7;
7705-08-0; 7783-50-8; 10421-48-4; 10028-22-5; 10045-89-3;
7756-94-3;       7720-78-7; 206-44-0; 86-73-7; 7782-41-4; 75-69-4;
50-00-0; 64-18-6;   110-17-8; 110-00-9; 98-01-1; 86-50-0;
1024-57-3; 76-44-8; 118-74-1;   87-68-3; 58-89-9; 77-47-4; 67-72-1;
70-30-4; 1888-71-7; 67-72-1;      757-58-4; 302-01-2; 7647-01-0;
74-90-8; 7664-39-3; 74-90-8;      7783-06-4; 75-60-5; 193-39-5;
74-88-4; 7439-89-6; 9004-66-4;     7439-89-6; 78-83-1; 624-83-9;
78-59-1; 78-79-5; 54590-52-2; 120-58-1;      115-32-2; 143-50-0;
303-34-4; 301-04-2; 3687-31-8; 7758-95-4;    7783-46-2; 13814-96-5;
10101-63-0; 10099-74-8; 7446-27-7; 1072-35-1;       1335-32-6;
7446-14-2; 1314-87-0; 592-87-0; 7439-92-1; 58-89-9;   7439-93-2;
14307-35-8; 108-39-4; 108-38-3; 121-75-5; 110-16-7;   108-31-6;
123-33-1; 109-77-3; 7439-96-5; 148-82-3; 2032-65-7;    592-04-1;
10045-94-0; 7783-35-9; 592-85-8; 10415-75-5; 628-86-4;
7439-97-6; 74-93-1; 67-56-1; 91-80-5; 16752-77-5; 72-43-5;
126-98-7;       79-22-1; 71-55-6; 78-93-3; 1338-23-4; 60-34-4;
74-88-4; 108-10-1;     74-93-1; 80-62-6; 298-00-0; 56-04-2;
7786-34-7; 315-18-4; 2385-85-5;       7439-98-7; 75-04-7; 74-89-5;
150-68-5; 494-03-1; 71-36-3; 84-74-2;    70-25-7; 759-73-9;
684-93-5; 615-53-2; 924-16-3; 621-64-7; 1116-54-7;      55-18-5;
62-75-9; 86-30-6; 100-75-4; 930-55-2; 103-85-5; 107-10-8;
300-76-5; 91-20-3; 1338-24-5; 7785-20-8; 12612-55-4; 7718-54-9;
557-19-7; 12054-48-7; 13138-45-9; 7786-81-4; 7440-02-0; 54-11-5;
4726-14-1; 14797-55-8; 7697-37-2; 10102-43-9; 98-95-3; 10102-44-0;
10102-44-0; 10544-72-6; 7727-37-9; 55-63-0; 25154-55-6; 684-93-5;
59-89-2; 95-48-7; 90-05-1; 636-21-5; 95-47-6; 152-16-9; 20816-12-0;
10028-15-6; 59-50-7; 106-47-8; 106-44-5; 106-46-7; 60-11-7;
100-01-6;      106-42-3; 30525-89-4; 123-63-7; 4685-14-7; 56-38-2;
12674-11-2;       11104-28-2; 11141-16-5; 53469-21-9; 12672-29-6;
11097-69-1;      11096-82-5; 608-93-5; 76-01-7; 82-68-8; 87-86-5;
127-18-4; 72-56-0;   62-44-2; 85-01-8; 578-94-9; 108-95-2;
696-28-6; 103-82-2; 62-38-4;    298-02-2; 75-44-5; 7803-51-2;
7664-38-2; 7723-14-0; 10025-87-3;       1314-80-3; 1314-80-3;


                         13

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                             Accession No.  2209000905     (cont)

    7719-12-2;  7723-14-0; 88-99-3; 85-44-9;    51-03-6> 7784-41-0;
    10124-50-2; 7778-50-9; 7789-00-6; 151-50-8;       1310-58-3;
    7722-64-7;  506-61-6;  23950-58-5; 1918-16-7; 709-98-8;
    2312-35-8;  79-09-4; 123-62-6; 107-12-0; 75-56-9; 114-26-1; 75-56-9;
    129-00-0;  121-29-9; 110-86-1; 91-22-5; 13982-63-3; 15262-20-1;
    10043-92-2; 50-55-5;  108-46-3; 299-84-3; 83-79-4; 78-48-8; 81-07-2;
    94-59-7; 7783-00-8; 12640-89-0; 7446-34-6; 7782-49-2; 630-10-4;
    506-64-9;  7761-88-8;  7440-22-4; 93-72-1; 122-34-9; 7440-23-5;
    7631-89-2;  7784-46-5; 26628-22-8; 10588-01-9; 1333-83-1; 7631-90-5;
    7775-11-3;  143-33-9;  25155-30-0; 7681-49-4; 62-74-8; 16721-30-5;
    1310-73-2;  7681-52-9; 124-41-4; 7632-00-0; 7558-79-4; 7601-54-9;
    10102-18-8; 7440-23-5; 8001-50-1; 7789-06-2; 1314-96-1; 57-24-9;
    57-24-9; 100-42-5; 7446-09-5; 10025-67-9; 7664-93-9; 72-54-8;
    127-18-4;  127-18-4; 56-23-5; 3689-24-5; 78-00-2; 107-49-3;
    109-99-9;        509-14-8; 1314-32-5; 563-68-8; 29809-42-5;
    7791-12-0;  10102-45-1;     7446-18-6; 7440-28-0; 62-55-5;
    23564-05-8; 79-19-6;  62-56-6;     137-26-8; 26471-62-5; 108-88-3;
    25376-45-8; 8001-35-2; 2303-17-5;     75-25-2; 78-48-8; 52-68-6;
    25323-89-1; 79-01-6;  79-01-6; 75-69-4;     75-70-7; 25167-82-2;
    27323-41-7; 121-44-8; 1582-09-8; 75-50-3;   99-35-4; 126-72-7;
    72-57-1; 50-31-7; 66-75-1; 7440-61-1; 541-09-3;    10102-06-4;
    51-79-6; 11115-67-6;  1314-62-1; 7440-62-2; 27774-13-6;    108-05-4;
    75-01-4; 75-35-4; 1330-20-7; 1300-71-6; 557-34-6;      1332-07-6;
    7699-45-8;  3486-35-9; 7646-85-7; 7783-49-5; 557-41-5;
    7779-86-4;  7779-88-6; 127-82-2; 1314-84-7; 16871-71-9; 7733-02-0;
    7440-66-6;  13746-89-9; 16923-95-8; 14644-61-2; 10026-11-6;
    14798-08-4; 14762-75-5; 10045-97-3; 15046-84-1; 10043-66-0;
    13983-27-2; 13981-16-3; 15117-48-3; 7440-09-7; 139-40-2;
    18883-66-4;       14158-27-1; 10098-97-2; 744C-32-6; 10028-17-8;
    13966-29-5;       15117-96-1; 557*21-1

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                             Accession No.   2209000906

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Baraa of Data Base of  Model:  Facilities Index System
(ACR)  Acronym of Data Base  or Model: FINDS
(MED)  Media/Subject of Data Base or Model: No specific media-Data
    bases serves as a cross-reference  index to various facil  addition,
    provides some minimal cross-media, facility-related    data.
CABS)  Abstract/Qvervieu of  Data Base or Model: The ultimate FINDS sill
    contain approx- imately  40 facility-related data elements,
    principally cross-media     in nature, with a feu key media-specific
    elements.  "Pointers"   are provided which indicate uhat other
    existing EPA data    systems contain additional data on any given
    facility.  The Dun and Bradstreet facility identification  number
    and User Block Numbers are the keys     to the cross-referencing
    capability.    Pollutant parameter data not currently planned for
    FII4BS.
(CTC)  CONTACTS: Subject matter Dan Cirelli, MIDSD;  Computer-related
    Diane Rivinus, MIDSD (202)382-2432;   EPA Office Dan Cirelli, MIDSD
    (202)382-2416
(DTP)  Type of data collection or monitoring: Conblnation/Other data
    collection-Data comes through several facility-based, host ADP
    systems.
(STA)  Data Base status: FINDS operational by 12/31/83.
(8PP)  J?on-pollutant parameters included in the data base: Geographic
    subdivision-latitude/longitude ;Industry-SIC codes ;
    Location-physical address jManufacturer-facility name ;Political
    subdivisions ; Other key variables of the data collected include
    facility  ID number, parent facility ID number, m facility
    ownership, type permit Issued, alias facility name,
    media-indicators, date of last update and regional discretionary
    data elements.
(DS)  Time period covered by data Base: 12-01-81 to 12-31-83
(TRM)  Termination of data collection: Not anticipated
(FRO)  Frequency of data collection or sampling: as needed
(NOB)  Number of observations in data base: N/A
(NEI)  Estimated annual increase of observations In data base:  
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                             Accession No.   2209000906     (cont)

    ion method documented
(AHL)  Lab analysis based on EPA-approved or accepted methods? Lab
    analysis is not applicable*
(AUD)  Lab Audit:  Lab audit is not applicable.
(PRE)  Precision:  N/A
(EOT)  Editting;  Edit procedures used and documented.
(CBY)  Data collected by: State  agency ;Regional office jContractor-
    Mashington, D.C. and Regional Offices^
(ABY)  Data analyzed by: Regional office
    Contractor-Washington,  D.C.  and Regional Offlcesf      EPA
    headquarters
(IDL)  Laboratory identification: NO
(AUT)  Authorization for data collection: Mo statutory requirement:
    FINDS aggregates data from other   existing systems which have
    their own authorizations.
(QMB)  Data collected/submitted  using OMB-approved EPA reporting forns.
    Data collected by Program Offices using OMB approved forms.
(REP)  Form of available reports and outputs of data base:  Printouts on
    request
    On-line computer
(NUS)  Number of regular users of data base; Unknown at this time
(USR)  Current regular users of  data base:  EPA headquarter  offices
    EPA regional offices
    EPfl. laboratories-Unknown
    Other federal agencies-Unknown
    States-Unknown
(CNF)  Confidentiality of data and Units on access: No limits on
    access to data.
(DLC)  Primary physical location of data: NCC/IBH
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA  software: FINDS ;EPA hardware NCC-IBM
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Other-Planned  to be
    ongoing
(RSS)  Related EPA automated systems which use data base: FINDS will
    eventually draw from all     facility-based EPA ADP systems/ but
    initially from PCS,     HtfDMS, MIC-IWIS/FURS.
(CMP)  Completion of form:
    D. Cirelll
    OFC: EPA/MIDSD/OA/OMISS/MIDSD
    AD: PW-218, Room 2312D, 401  M St., S.M., Washington/ D.C. 20460
    PH; (202) 382-2415
(DF)  Date of form completion: 01-07-83
(CHM)  Contact natne(s): Clrelli/D.; Rivinus/D.; Cirelli/D.
(ROR)  Responsible Organization: Office of Administration.Offlee of
    Management Information and Support Services.Manage

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                             Accession No.   2302000907

(DQ)  Date of Questionaire:  12-02-82
(MAM)  Name of Data Base of  Model:  Compliance Costs for  Secendary  Lead
    Smelter
(ACR)  Acronym of Data Base  or  Model:  LEAD
(MED)  J'edia/Sub ject of Data Base or  Model:  Air ;Emissions-smelter
    point, fugitive and area sources
(ABS)  abstract/Overview of  Data Base or Model: Data base  contains
    existing monitoring data around     one  secondary lead smelter;
    emissions of point    fugitive  and area  sources for  one secondary
    smelter; contribution of emissions from  each source  to ambient
    lead concentrations; control techniques,  their  efficiency  and
    cost, for each emission  source;
(CTC)  CONTACTS: Subject matter  Jeff Kolb   (202) 382-2790  ;     EPA
    Office     Jeff Kolb, Economic  Analysis  Div.,
(DTP)  Type of data collection  or monitoring: Combination/Other data
    collection-ambient data  near  smelters,  emissions from le
(DPO)  Projected operational date of  Data Base: 05-01-82
(GRP)  Groups of substances  represented in Data Base: Other-lead
    7439-92-1
(NPP)  Non-pollutant parameters included in  the data base: Compliance
    data ;Cost/econoraic data ;lndustry /Location Manufacturer  ;
    Physical data population demographics ;Site description ^Treatment
    devices ;   Wind direction  ;Wind  velocity
(DS)  Time period covered by data base: 06-01-81 TO 02-28-82
(TRM)  Termination of data collection: 02/28/82
(FRO)  Frequency of data collection or sampling: one time  only
(NOB)  Number of observations in data base:  N/A
(NEI)  Estimated annual increase of observations in data base:  None
(IMF)  Data base includes: Raw  data/observations /Summary  or aggregate
    observations ;Reference  data/citatio
(NTS)  Total number of stations or  sources covered  in data case: 1
(NCS)  No, stations or sources  currently originating/contributing  data:
    1
(NOF)  Number of facilities  covered in data  base (source monitoring): 1
(GEQ)  Geographic coverage of data  base: Local
(LOG)  Data elements identifying location of station or  source  include:
    None
(FAC)  Tata elements identifying facility include:  None
(CDE)  Pollutant identification data  are: Uncoded
(LIM)  Limitation/variation  in  data of which user should be aware: One
    secondary smelter in Pennsylvania
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Collect
    ion method documented ;Analysis method documented ;GA  procedures
    document
(AfIL)  Lab analysis based on EPA-approved or accepted methods?  NO
(ADD)  Lab Audit: Lab audit  is  not  based on  lab analysis.
(PRE)  Precision: Precision  and accuracy estimates  are not available.
(EBT)  Editting: Edit procedures used but undocumented.
(CBY)  Data collected by: self  reporting Contractor CBA
(ABY)  Data analysed by: Contractor  CBA
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data  collection: Special  study


                             17

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                             Accession So.   2302000907
                                                           (cont)
(AUT)
(OMB)
    QQ
(REP)
(NUS)
(CNF)
       Authorization for  data collection:  No statutory requirement*
       Data collected/submitted using OMB-approved EPA reporting forms:
       Form of available reports and outputs of data base:  Publication
       Number of regular users of data base: None yet
       Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: Headquarters office
(DST)  Form of data storage:  Original form (hardcopy, readings)
(DAC)  Type of data access:  Manually
(CHG)  Direct charge for non-SPA use: No
(UPDT)  Frequency of data base master file up-date: Other Special one
    time study
(CMP)  Completion of form:
    Jeff Kolb
    OFC: EPA/EAD/QPE/PM-220
    AD; 401 M  Street, S.W.,  Washington/ DC  20460
    PH: (202) 382-2790
(DF)  Date of form completion: 01-31-83
(CNM)  Contact naraeCs): Kolb,,?.
(COR)  Contact organization:  Jeff Kolb/ Economic Analysis Dlv.s
(ROR)  Responsible Organization: Office of Policy and Resource
    Management.Office of Policy Analysis.Economic Analysis
                             18

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                             Accession  No.   3103000902

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Federal  Facilities  Information
    System
(ACR)  Acronym of Data Base  or Model: FFIS
(MED)  Media/Subject of Data Base or Model:  Air  ;Drinking  water
    ;doirestic and Industrial uasteuater ;     Noise  ;Solid  and  Hazardous
    waste ^Pesticides ;Toxic substances
(ABS)  Abstract/Overview of  Data Base or Hodel:  The Federal  Facilities
    information System contains     an  inventory of all  Federal
    facilities subject to environmental regulations, their compliance
    status/ and     information related to  the budgeting and funding of
    approximately 3500     projects to  achieve or maintain compliance.
(CTC)  CONTACTS: Subject matter   Lee Herwig  (202) 382--U5908 ;
    Computer-related   Bruce Rothrock  (202)  426-7240 ;   EPA  Office  John
    Chase (202) 382--U5909
(DTP)  Type of data collection or monitoring: Combination/Other  federal
    facilities permit, project status   compliance status project/
    assessment budgetary data.
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in  Data  Base:  5  NESHAPS  ;7
    criteria NAAQS ;3 HID CAA ;11 conventional  water  ;other
(NPP)  Non-pollutant parameters included in the  data base: Compliance
    data ;Cost/economic data ;Funding  data  ;Management **    data is
    available on meeting all environmental  laws.
(DS)  Tine period covered by data base: 07-01-76 TO 12-30-87
(TRM)  Termination of data collection:  Not  anticipated .
(FRQ)  Frequency of data collection or  sampling: semi annually
(NOB)  Number of observations in data  base:  350000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: 40000.
(INF)  Data base includes: Raw data/observations ;Summary  aggregate
    observations
(NTS)  Total number of stations or sources  covered  in data base:  14000.
(NCS)  No. stations or sources currently originating/contributing data:
    14000.
(NOF)  Number of facilities  covered in  data base (source monitoring):  30
    00.
(GEO)  Geographic coverage of data base: International
(LOG)  Data elements identifying location  of station or  source include:
    State ;County ;City ^Street address ;     Project identifier
(FRC)  Data elements identifying facility  Include:  Federal
    Agency/Bureau Plant facility name  ;Plant location ;  Street  address
    ;SIC code ;NPDES ^General Services  Administration (Federal
    Facility) identifier (structured similar to  DUNS)
(CDF)  Pollutant identification data are:  Other  coding scheme  National
    Emissions Data System (NEDS)
(LIM)  Limitation/variation in data of  which user should be  aware:  Quali
    ty assurance data for Compliance Data    System  only.  Data base
    contains few drinking water,   noise,  solid  waste, toxic substances
    and pesticide project observations.
(DPR)  Data collect./anal, procedures  conform to CRD guidelines: Samplln
    g plan documented ^Collection method documented ^Analysis  method
    document QA procedures documented


                             19

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                             Accession No.   3103000902      (cont)

(AND  Lab analysis based on EPA-approved or accepted methods?  Hot
    Applicable
(PRE)  Precision: Precision and accuracy estimates  are  not  available
(EOT)  Editting:  Edit procedures used and documented.
(CB¥)  Data collected by; Self reporting, compliance project  reporting
    /Regional  office Permit Compliance System  and  Compliance   Data
    System data,/  Enforcement Div. /Contractor air compliance  data-CSC }
    Other federal agency budgetary data (13 other federal   agencies) ;
    EPA headquarters Federal Facilities/ Office of  Federal  Activities
(ABY)  Data analyzed by: Federal Agencies Self  reporting review data in
    system
    Regional office; All Federal Facility Coordinators  review  data in
    system
    Contractor  CSC updates and editsf      Other federal agency review
    updates
    EPA headquarters Office of Federal Activities
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Compliance and enforcement
(AUT)  Authorization for data collection: Statutory authorization  is
    Executive Order 12088 and OMB Circular  A-106
(OMB)  Data collected/submitted using OMB-approved  EPA  reporting forms:
    QQ EPA Form 3500-7 (7-82)
(REP)  Form of available reports and outputs of data base:  Printouts on
    request
    Standard format reports
(NUS)  Number of  regular users of data base:  50
(USR)  Current regular users of data base:  EPA  headquarter  offices
    Office of Federal Activities
    EPA regional  offices
    Other federal agencies
(CNF)  Confidentiality of data and limits on access: Limits on  outside
    access for some data
(DLC)  Primary physical location of data: NCC/IBM
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: Commercial software IDMS ;EPA hardware  IBM
    370/168
(CHG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base master file  up-date: serai annually
(RSS)  Related EPA automated systems which use  data base: Compliance
    Data System (CDS) D 3403 0009 01; Permit    Compliance  System  (PCS)
    D3302 0001 01
(RDBEPA)  Related EPA data bases used in conjunction with this  data base
    Compliance Data System (CDS) D3403 0009 01;  Permit Compliance
    System (PCS)  D3302 0001 01
(RDB)  Kon-SPA data bases used in conjunction with  this data  base: Feder
    al Agency update both manually and by tape-
(CMP)  Completion of form:
    Lee Herwig
    OFC: EPA/(OFA)
    AD: 401 M St, SW Washington, DC 20460
    PH: (202) 382-5908
(DF)  Date of form completion: 01-21-83


                             20

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                             Accession No.   3103000902      (cent)

(CNM)  Contact name(s):  Heruig,L.  ;     Rothrock/B.     ;     Chase/J.
(ROR)  Responsible Organization: Office of  Legal  and Enforcement
    Counsel.
                             21

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                             Accession No.   3103000903

(DQ)  Date of Quest ionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Hazardous Haste Site Tracking  System
(ACR)  Acronym of Data Base or Model:  STS
(MED)  Media/Subject of Data Base or Model:  Other No specific media:
    Inventory of hazardous Haste sites with  gross amounts of  chemicals
    found at site                -
(ABS)  Abstract/Overview of Data Base  or Model:  The data base contains
    an inventory of  potential hazardous Haste sites both active  and
    inactive, on-site of industrial facilities and    off-site.   Major
    functions supported include;    inventory and identification,
    assessment, site    inspection, hazards, hydrological analysis, and
    remedial and enforcement actions necessary-
(CTC)  CONTACTS: Subject matter   Marguerite Hall  (202) 382-2234 ;
    Computer-related  Myra S
(DTP)  Type of data collection or monitoring: Combination/Other No
    monitoring data collection
(STA)  Data Base status: Discontinued
(NPP)  Non-pollutant parameters included in  the data base:  Compliance
    data ^Cost/economic data ^Funding  data } Inspection  data ;
    Location ; Physical data ^Political subdivisions ;Population
    demographics ; Population density  ;Site  description ^Hazards  ;Waste
    state ;Waste characteristics ;   Remedial actions
(OS)  Time period covered by data base: 08-01-79 TO 12-30-80
(TRM)  Termination of data collection: Hot anticipated
(FRQ)  Frequency of data collection or sampling: Other  As events  (e.g.
    inspections) are done
(NOB)  Number of observations in data  base:  20821(Estimated)
(JsEI)  Estimated annual increase of observations in data base: 10000
(IHF)  Data base includes: Ran data/ observations
(NTS)  Total number of stations or  sources covered in data base:  9000
(NCS)  Ko. stations or sources currently originating/contributing data:
(NOF)  Number of facilities covered in data base (source monitoring):  (N
    /A)
(GEO)  Geographic coverage of data base:  National
(LOG)  Data elements identifying location of station or source  include:
    State jCounty jCity; Street address ^Coordinates Latitude/Longitude
    }  Coordinates
(FAC)  Data elements identifying facility include:  Plant facility name
    ;Plent location ^Parent corp name ;Street address ;     SIC code
    ;Dun Bradstreet ;NPDES
(LIM)  Limitation/ variation in data of which user should be  aware:  None
(ANL)  Lab analysis based  on EPA-approved or accepted methods?  YES
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision and accuracy  estimates  are not available
(EDT)  Editting: Edit procedures used but undocumented.
(CBY)  Data collected by:  State agency ;Regional office ^Contractor
    Various contractors
(AB¥)  Data analyzed by:  Regional office  Every Regional Surveillance
    and Analysis    Division
    Contractor lab Various laboratories
(IDL)  Laboratory identification: NO


                             22

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                             Accession No.   3103000903      (cont)

(PR1)  Primary purpose of data collection:  Compliance or enforcement
(PR2)  Secondary purpose of data collections  Remedial action
(AUT)  authorization for data collection:  Mo statutory  requirement:
    Data collection requirement is    to aid in EPA tracking of
    hazardous waste sites
(OMfl)  Data collected/submitted using OMB-approved EPA  reporting  forms:
    QQ
(REP)  Forra of available reports and outputs of data base:  Printouts  on
    request
(NUS)  Number of regular users of data base:  15 offices
(USF)  Current regular users of data base:  EPA headquarter  offices
    Hazardous Waste Task Force? SUPERFUND?    Office of  Solid Waste?
    Office of Enforcement
    EPA regional offices
(CWF)  Confidentiality of data and limits on access: Limits on access
    within SPA and outside agency for some  data
(DLC)  Primary physical location of data: MCC/IBH
(DST)  Form of data storage; Magnetic disc
(DAC)  Type of data access: EPA software Site Tracking  System  HIDS:
    ?SPA hardware IBM 370
(CHG)  Direct charge for non-EPA use: no
(CHP)  Completion of form:
    Bruce Rothrock
    OFC: Office of Enforcement
    AD: 401 M St. S« Washington, DC 20460
    PH: (202)426-7240
(DF)  Date of form completion: 01-11-83
(R^AT)  Number of substances represented in data bases  2000
(NCAS)  Number of CAS registry numbers in data base: 224
(MAT)  Substances represented in data base:
    "toxic liquid"                       1-chloro-propane
    #2 fuel                              1.1.1. trichloroetrrans
    £6 fuel oils                         19hl8r2ohl9s21h20t22
    (d) xylose - combustible             Isomers of bhc
    09h08hlOh09illhlOjl2                 2 dimethyl phenol
    1,1,1                                2,4 dnp
    1,1,1 trichloroethylene              2,4, S-trichlorophenoj(yacetic acid
    l,l,l-trichloroethane<71-55-6>          (T)<93-76-5>
    1,1,2 trichlorethylene               2,4,7,8-tetrachlorodibenzo-p-
    l,l,2-trichloroethane<79-00-5>          dioxin (tcdd)
    l,l-dIchloroethane<75-34-3>          2,4-dichlorophenoxyacetic acid  (2,
    l,l-dichloroethylene<75-35-4>           4-dJ<94-75-7>
    1,2 dichloroethylene                 2,4-dinitrophenol<51-28-5>
    l,2-dibromo-3-chloropropane (dbcp)   2-chloracrylnitril
       < 96-12-8>                         2-ethanol
    1,2-dibromoraethane                   2-ethyl hexanol
    l,2-dichloroethane<107-06-2>         2-methyl pentane
    1,2-dichloroethylene                 2-nitropropane<79-46-9>
    1,2-trans-dichloroethylene           2-pentanone
       <156-60-5>                        4,4'-ddd(p,p'tde)
    l,4-dichlorobenzene        4,4'-dde(p,p'-ddx)<72-55-9>
    1,nitropropane


                             23

-------
                         Accession No.  3103000903
                  (cent)
4-bromophenyl phenyl ether
   <101-55-3>
4-cl-3/5dlnitrotrlfluorotl
4-cl-nitrofluorotoluene
a30
aband mine w/tallings
abrasives
abs production wastes
absorbed oils
absorbent clay w/propanil
acetaldehyde<75-07-0>
acetate
acetic acid<64-19-7>
acetic anhydriae<108-24-7>
acetone<67-64-l>
acetonitrile<75-05-8>
acetophenone<98-86-2>
acetylene cylinders
acetylene polymers
acetylene<74-86-2>
acid (dryunknown)
acid and alkaline cleaner
acid flush
acid leaching process
acid mine drainage
acid neutralization sldge
acid polymer sludge
acid residues
acid runoff
acid sludge-inject.well
acid sludges
acid solutions
acid solutions (ph<3)
acid solvent
acid spin waste.
acid vapors
acid wash/tank
acid wastes
acid zinc plating
acid-spent hcl
acid-weak h2504
acidic chrome/steel strip
acidic org waste
acidic Mst water
acids
acids & caustics
acids ph<3
acids w/hvy metals acidulated
   bottomsottons
acids-nitric
ackylation sludge
acrolein<107-02-8>
acrylamide<79-06-l>
acrylate & latex emulsion
acrylate sludges
acrylates
acrylates & latex emuls'n
acrylates emulsions
acrylic particles
acrylic polymer<9003-01-4>
acrylics
acrylonitrile<107^13-l>
activated carbon resins
activated charcoal
adhesive coatings
adhesive sealants
adhesive wastes
adhesives
aeosote oil
agricultural chemicals
agricultural wastes
agriculture fert. waste
air emissions
air flotation solids
air pollution cntrl sludg
air/water reactive waste
al hydroxide
al hydroxide wastes
a1(oh)3
a!203
a!203 sludge
ale 13 lime mixture
alcohol esters
alcohol ethoxy sulfate
alcohol ethoxylate dtrgt
alcohols
alcohydes
aldehydes
aldehydes ph<3, >12
aldrin<309-00-2>
aldyhydes
algicides
aliphatic
aliphatic hydrocarbons
aliphatic polymers
aliphatic solvents
aliphatics
alkali cellulose
alkali cleaner
alkaline cleaning solutn
alkaline metal solution
alkaline rinse waters
alkaline waste
aIkalines
                         24

-------
                         Accession No.  3103000903
                  (cont)
alkyd resins
alkyl benzene
alkyl dimethyl amine
alkyl-phenolic cmpds
alkylation defluorinator
alkylation scrap metal
alkylene
alleged buried waste
alleged contamination
alum
alum mud
alum sludge
aluminum bauxite
aluminum chloride hexahyd
aluminum contaminant
aluminum dust
aluminum hydride & sldgs
aluminum hydroxide sludge
aluirinum phosphite
aluminum pot linings
aluminum silicate
aluminum sludge
aluminum sludge from baux
aluminum sulfate<10043-01-3>
aluminum waste
aluirinunv titanium catalys
alun
amatol/sodium sulfate
amberlite
aweelie
amiben sludge
amides
amides & amines
amides, aldehydes
amines
amines & amides
amines & polar solvents
aminos
ammonia & nitrogen salts
ammonia bearing wastes
ammonia nitrogen
ammcnia<7664-41-7>
ammonium bifluoride<1341-49-7>
ammonium chloride<12125-02-9>
ammonium hydroxide<1336-21-6>
ammonium nitrate
ammonium per chlorate
ammonium persulfate
ammonium phosphate
ammonium picrate<131-74-8>
ammonium sulfate
ammonium thiosulfate<7783-18-8>
amorphous polymer soluti
amp calcium hypochlorlte
anhydrous ammonia
anhydrous raonosodium phos
anhydrous sodium hydroxid
aniline<62-53-3>
animal byproduct uaste
animal carcasses
animal process uaste
animal wastes
antharaguinous dyes
anthracene<120-12-7>
anthracite coal
antibiotic waste
antifreeze
antimony glycol sludge
antimony salt
antimony trioxide<1309-€4-4>
aatimony<7440-36-0>
ape cake
ape sludge
api sep oil & sludge
api separator
apl separator bot sludges
api separator bottoms
api separator sludge
arides
armoatic oil
aromatic amines
aromatic hydrocarbons
aromatic solvents
aromatics
arsenic acid<1327-52-2>
arsenic compounds
arsenic dichromate
arsenic phosphate
arsenic sludge
arsenic sulfide
arsenic trichloride<7784-34-l>
arsenic trioxide<1327-53-3>
arsenic trisulfide<1303-33-9>
arsenic<7440-38-2>
arsenicals
asbestos (chrysotile)
asbestos insulation
asbestos lining dust
asbestos nine
asbestos pipe
asbestos removal
asbestos shingles
asbestos sludge
asbestos<1332-21-4>
                         25

-------
                         Accession No.   3103000903
                  (cont)
ascylates
ash
ash & soil mixture
ash residue
asphalt
asphalt emulsion
asphalt sludge
asphaltic motor oil sldgs
asphaltic tank bottoms
atrazine
attrex
auto battery acids
auto paint sludge
azo compounds
320 dyes
azulene
b. g. ash waste
b. s. sludge
bact confm of well    *
bacteria
bacteriostat 300-500 ppm
baghouse dust
baghouse dust u/matals
bags & equipment
bale wire
baled garbage
barge bottoms
barium sulfate
barium sulfide ash
barium<7440-39-3>
bark leachate
barrel storage on site
barrels & ponds
barrels leaking
base metals
base solutions
base solutions (ph>12)
bases
basf surfactants
basic solutions
basics
batch attack muds
batteries and lead
battery acid
battery cases
battery casings
battery liquids
battery nfging waste
battery waste
battery waste-lead-acid
bauxite
bauxite ore residue
bauxite residue
bauxite tailings
beamhouse sludge
bearing grinding sludge
bearing wastes
belivd to cont acetyl si
benf luoranthene
benzene & chlorobenzenes
benzene & ketone byproduc
benzene cmpds
benzene hexachloride
benzene hydroxy sulfonate
benzene sulfonic acid
benzene<71-43-2>
benzole acid sludge
benzole acid<65-85-0>
benzothiophenes
benzoyl chloride<98-88-4>
benzoyl peraxide<94-36-0>
berulliyo sludges
berylliuni<7440-41-7>
bhc (lindane)-gamma<58-89-9>
bhc cake
bhc-alpha<3!9-84-€>
bhc-beta<319-85-7>
bilge water
bio waste
bio-digested sludge
biocides
biol. sludge
biological products
biological sludges
biological treatment sldg
biological waste sludge
biological wastes-carcase
biosludge
bis{2-chloroethyl)ether"»
bls(2-ethylhexyl)phthalate
bis-ether
bisodlum phosphate
bisphenol a
bisulfate
bitolylene diisocyanate
black liguid tar type
black liquors
black oils
black primer
black vicous liquid
blast furn. slag (w/lea<3)
bleach
Slowdown & process water
                         26

-------
                         Accession No.   31030009C3
                  (cent)
boiler ash
boiler blowdown
boiler house solids
bone-uheat meal waste
boron compounds<7440-42-8>
bottom ash
bottom coal tars
bottom sludge
bottoms out of boilers
brake lining scrap
brecsote sludges
brick
brine
brine sludges
brine slurry
brine softening sludge
brine waste
brine water
bromacll
bromides
broroinal
brorcinated compounds
brominated intermediates
bromlne<7726-95-6>
broiroform<75-25-2>
bromomethane<7 4-83-9>
building supplies
bulk oils
bunker c oil
buried pesticides
burning acrylonitrize
burning herricide cans
burning pesticide cans
burning plastics
burning vectors
butadiene
butadiene plant residue
butanol
butanol alcohol
butyl acetate<123-36-4>
butyl latex
butyl phenol
c-56
c-56 residues (possis)
c2h2c!4
ca(oh)2
ca3p04
cabr
cac03 herbicide
caco3
caco3/mgoh sludges
cadmium sludge
cadn>ium<7440-43-9>
caf
calcium
calcium (lime)
calcium alginates
calcium arsenate
calcium arsenate<7778-44-l>
calcium carbanate
calcium carbide<75-20-7>
calcium carbonate
calcium carbonite
calcium catalyst
calcium chloride
calcium chloride sludges
calcium flouride
calcium fluorie
calcium hydrate
calcium hydroxide<1305-62-0>
calcium hypochlorite<7778-54-3>
calcium oxide<1305-78-8>
calcium phosphate
calcium salts
calcium sulfate
cani phosphate catalyst
cannery waste
cans
cap04
capacitors
captan<133-06-2>
carbide lime
carbon
carbon black
carbon black powder
carbon black sludge
carbon black slurry
carbon black wastes
carbon dioxide
carbon filters
carbon fines
carbon tetrachloride<56-23-5>
carbon tetrachlorine
carbonaceous products
carbonate
cardboard
caso4
caso4 herbicide
caso4 sludge
caso4 u/traces of lead
catalyst beads
catalyst fines
catalyst hts
catalyst nh3
                         27

-------
                         Accession No,   3103000903
                  (cont)
catalyst powder
catalyst sludge
catalyst spent
catalysts
catalysts for acid mfg
catalytic tar
caulk wastes
caustic brines
caustic cleaners
caustic cleaning cmpds
caustic materials
caustic soda
caustic waste
caustics
caustics & chemicals
caustics - hydrocarbons
caustics w/nacl & naltypd
caustics/pesticides
cca salt
ccl4
cd
cellon
cellophane
cellophane waste
cellulose
cellulose nitrate
cellulose xanthate
cement
cement slurry
cement washings
centrifuge solids
chairs, beds, stoves, etc
chars paper
chc!3
chem binders-phenols
cheff plant manu & hypoc/o
chem wastes
chero wastes from plastics
chen-fab wastes
cherc-sldg-acid neutrl gel
chemical barrels
chemical binders
chemical detergents
chemical dump site
chemical feed stocks
chemical oxygen
chemical process waste
cheadcal residue
chemical sludge
chemical strippers
chemical waste sludge
chemical waste water runo
chemical wastes
chemical wastes (rubbers)
chemical-agent orange
chemicals
chemicals (oil) disposal
chemicaIs-indenes
chemicals-metals
chemicals-organics
chemicals-wood preservati
chenonite
chlor-alkali sludges
chlorate filter residual
chlorate wastes
chlorates
chlordane<57-74-9>
chloride irons
chloride wastes
chlorides
chlorides & nitrogen cmpd
chlorinated benzenes
chlorinated by-product
chlorinated compounds
chlorinated hydrocarbons
chlorinated intermediates
chlorinated organics
chlorinated phenols
chlorinated sivt sludges
chlorinated solvent waste
chlorinated solvents
chlorine bleach
chlorine<7782-50-5>
chlorniethylether
chloroaniline
chlorobenzene<108-90-7>
chloropentaphenol
chlorothene
chlorthene
chromate
chroraate metals
chromate sludge
chromated copper arsenate
chromatic tailings
chrome
chrome III sulfate
chrome crystals
chrome plating procss wst
chrome sludge
chrome waste
chromic acid sludge
chromic acid<7738-94-'5>
chromic metal sludge
chromic oxide<1308-38-9>
                         28

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                         Accession No.  3103000903
                  (cont)
chromium (hexavalent)
chromium +6
chromium +3 sludge
chromium 6
chromium cations
chromium cmpds
chromium hydroxide
chrcmiura impoundments
chromium in surface water
chromium salts & sludges
chromium sludge
chromium sulfate
chromium trihydroxlde
chromium wste
chromium<7440-47-3>
chromplating sludges
chronic acid sludge
chronic sludge
chronlum
chrysene<218-01-9>
cillcon dioxide 
coal u/3 1/2 % sulfur
coal wl/2 % sulfur
coal wastes
coal wastes/cinders
cobalt compounds
cobalt<7440-48-4>
cod
coke
coke breeze
coke dust
coke fines
coke plant uastes
coke production byproduct
coking waste & waste nh3
coilform
combines oils & sawdust
combustible organlcs
commercial refuse
commercial solids
commercial waste
concentrated aqueous wste
concrete
condensate
construction debris
contalnine
contarn storm runoff wtr
contan*d oil
contaminants from scrubbr
contaminated clay
contaminated pcb soil
contaminated plant debris
contaminated rock salt
contaminated sludge
contaminated soil
contaminated solids
contaminated water
cool oil fron elec motor
coolant
cooling tower
cooling tower bloudown
cooling tower waste
cooling wastes
cooling water
copper ammonia solutions
copper chloride
copper chromium
copper etchant
copper fungicides
copper hydroxide
copper napthenates
copper oxide wastes
copper oxides
copper salts
copper sulfate
                         29

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                         Accession No.  3103000903
                  (cent)
copper-8-quinolinolate
copper/nickel wste
copperas
coppere
core oils
corn starch
corrosives
cotton insecticide
cr + 3
cr oxides
cr(oh)3
creosole & related wastes
creosote sludge
creosote soaked sand
creosote-like material
creosote<8021-39~4>
creosoting liquor
cresol<1319-77-3>
croh3
cremates mercaptan
crotonaldehyde<4170-30-3>
crude oil
crushed batteries
crushed drums
crushed limestone dust
cryolite
crystac
cu oxides
culroite
cujnene<98-82-8>
cured latex
cured latex sludge
curene
curing compounds
cutting oil
cyand pyridine tars
cyanide phenols
cyanide waste
cyanide<57-12-5>
cyanogen<460-19-5>
cyanuric acid
cyaruric chloride
cyclohexane<110-82-7>
cyclohexanone<108-94-l>
cyclohexylaraine
cynamid
daf sludge
dbp
dcp sludge
ddd(tde)
dde
ddmu
ddt
ddt
dead animals
decanter tank pitch/sldg
defoamer waste
degreaser sludge
degreasing solvents
delnav
deraineralized resins
demolition debris
demolition waste
dentachlorophenol
detergent waste water sld
detergents
detinning metal sludge
developer
di-isopropylamine
di-syston
diacetone alcohol
diammonium salt phosphate
diatomaceous earth
diazinon<333-41-5>
dlbromide
dlbromochloroiBethane<124-48-l>
dichloro phenol
dlchloroben2ane<25321-22-6>
dichloroethane
dichloroethylene
dichloroaiethane<75-09-2>
dieldrin<60-57-l>
dielectric oil
dlesel fuel
dlesel oil
diesel uaste
digested soybean sludge
diisopropyl methyl
dilute h2s04 acid
dilute hcl
dimethoate<60-51-5>
dimethyl
dimethyl benzanthracene
dimethyl formamide
dimethyl formanide
dimethy lacidaraide
dimethylacytaoide
dimethylamine<124-40-3>
dlmethylterephthalate
dinitrophenol
dinitrotolu«ne<25321-14-6>
dioxane<123-91-l>
dioxon
dlphemaiid
                         30

-------
                         Accession No,   3103000903
                  (cont)
diphenylme thane diisocyan
dipropylamine<142-84-7>
dipropylene diglycol benz
dipropyIphosphorodithioat
dirt
dirt contaminants
dirt used for fill matrl
dirty feed napthas/ketnes
dirty feed solvents
dirty mineral spirits
disposed bases
dissolved metals
distillation bottoms
diuron<330-54-l>
dnoc
dolomite & calcined do lorn
domestic refuse
domestic septic waste
domestic solid waste
double base nitroglycerin
drained transformers
dredge material
dried plant
dried sludge
drilling fluid
drilling mud
drilling mud & oil
drips from trucksand
dross
drummed waste
dry bleach
dry cells S, storage batte
dry chemical waste
dry chemicals
dry cleaning sludge
dust collectors
dye waste, paint
dyes
dyes & inks
dyes (aniline)
elastomers
electric furnace tailings
electrelites
electroplating wastes
em be 1m ing fluid
emergency bypass water
empty 1-4 inhibitor steel
empty fertilizer sacks
empty pesticide containrs
emulsified oils
eraulsifier
enamel paints w/pb & cr
endrin<72-20-8>
epoxy paints
epoxy resins
esters
esters & ethers
etching solution
ethanol
ethers
ethion<563-12-2>
ethyl acetate<141-78-6>
ethyl acrylate<140-88-5>
ethyl alcohol
ethyl parathion
ethyl silicate
ethylbenzene<100-41-4>
ethylene
ethylene dlbronide (edb)<106-93-4>
ethylene dichloride<107-06-2>
ethylene glycol
ethylenediaffline<107-15-3>
evaporator solids
excelsior
expanded clay filter
explosive wastes
explosives
explosives (picric acid)
extractable organics
farm chemicals
fat, bits of flesh
fats
fatty acids
fee collector dust
fe c!3
fe oxide dust
fe oxide scale
fec!3
feo3
feoh
ferric chloride<7705-08-0>
ferric hydroxide
ferric hydroxide sludge
ferric oxide
ferrous dust
ferrous metal wastes
ferrous metals
ferrous metals tailings
ferrous smelting wastes
ferrous sulfate<7720-78-7>
fertilizer
fertilizer salts
fertilizer waste
f eso
                         31

-------
                         Accession No.  3103000903
                  (cont)
feso4
fiber
fiber drums
fiber kegs u salt residue
fiber resin
fiberglass
fiberglass resin
fiberglass waste
film processing mat'ls
filter acid
filter bags
filter cake
filter clay
filter clay sludge
filter sludges
fire brick
fire with rubber waste
firewater pond
fish oil
flammable by-product
flammable cacerous mat
flammable liquid asphalt
flammable liquids
flammable liquids-paints
flammable materials
flammable organic liquids
flammable organics
flammable resins/solvents
flammable sludges
flammable solvents
flanmables
flocculant
flocculating precipitates
flours
fluoboric acid
fluoranthene<206-44-0>
fluorides
fluorine<7782-41-4>
flyash
flyash (lime slurry)
flyash disposal
flyash sludge
foam development cheracl
foair master 1119 disperst
foam rubber liquids
foam-solid
food processing waste
food uaste
forroaldehyde<50-00-0>
formaldenye
fori»ic acid<64-18-6>
forraox catalyst
foundry sand
foundry slag
foundry wastes
freao extractables
freon
freon 113
freshwater trtnnt sludge
fruit solids
fuel
fuel oil
fuel storage tanks
fuel tank spill
fugitive dust
fuller's earth
fume scrubber blowdown
fungicides
fungicides & intermediate
furfural polymer
furfural<98-01-l>
furidan
furnace & heater oil
furnace slag
furnace wastes
furniture
fyrolopcf
gamma radiation
garbage
gas
gasoline
gasoline/kerosene
gel-gypSUB & copperas
general refuse
general solvent
glue
glue products
glycol
glycol ethers
glycol still bottoms
glyoxals
goethlte residue
gold and silver ores
graphite
graphite & water mixture
gray* ash-type waste
gray/ matted fibrous waste
grease/ '  '' •'.'::- ;  -'.   ..' ...  •'• -•
grinder fines
grinding sludge
grinding waste
ground/surface water prbl
groundwater contamination
gunnlte .-• .4"-v>::;.,}-v:;.•;;.,;::; •.  :
                         32

-------
                         Accession No.  3103000903
                  (cont)
guthion<86-50-0>
gypsum
gypsum sludge
gypsum slurry
gypsun waste
gypsum with trivalent cr
gypsum-2 grades
h01a03h02b04h03c05hO
hllkl3hl2ll4hl3»15hl
h20 softener resins
h20 with acid & petn
h20rcarbon blackrlatex
h21u Olp0102p0203
h2504
halogenaded solvents
halogenated allphatlcs
halogenated aroraatics
halogenated organics
halogenated solvents
halogenated solvents-ice
halogens
hardened fiberglass
harsh soap
hcb
hcct
hcl
hen
hep
heavy and trace metals
heavy metal salts
heavy raetal sludges
heavy metal solids
heavy metals
heavy metals and oil
heavy spill
heptachlor<76-44-8>           e
heptane
herbicide cans
herbicide organics
herbicide wastes
herbicides
hetcnes
hexschloro pentadiene
hexachlorobenzene<118-74-l>
hexechlorobutadiene<87-68-3>
hexachlorocyclopentadene
hexachlorocyclopentadiene<77-47-4>
hexachlorocyclopentadrene
hexechloroethane<67-72-l>
hexachlorophene<70-30-4>
hexane
hexane-contam zinc oxide
hexavalent
hexavalent & trivalent cr
hexavalent chromium
hexene
high bod's
high chloride uaste
high salt concentrations
high suspended solids
high-melting tar
highway salts
hologenated solvents
holybdenura
hospital wastes
houghton hocut 237
houghton solvent
housecleaning agents
household
hydrated lime
hydraulic fluid
hydraulic oil
hydrazine<302-01-2>
hydrocarbon based solvent
hydrocarbon resins
hydrocarbon sludge
hydrocarbons
hydrochloric acid<7647-01-0>
hydrocyanic acld<74-90-8>
hydrofluoric acid<7664-39-3>
hydrofluorosilicic acid
hydrogen bromide
hydrogen cyanide<74-90-8>
hydrogen nitrate
hydrogen peroxide
hydrogen sulfate
hydrogen sulfide<7783-06-4>
hydroquinone
hydroxide raettalic cake
hydroxide sludge
hydroxides
hydroxy ansine sulfate
hydroxy diphenyls
hydroxyacetic acid
hydrozine
hygenic materials
hypo mud
hysterene
imidan
imides
impounded leachate
incinerated sewage sludge
inclnerater residue brush
incinerator ash
                         33

-------
                         Accession No.   3103000903
                  (cont)
incinerator residue
incinerator sludges
incompatible wastes
Indust chem oilfield waste
indust chera source open
indust waste retent pond
indust waste-nat gypsum
industrial chemicals
industrial liquid
industrial liquids sludge
industrial refuse
industrial sludge
industrial solid wastes
industrial solids
industrial solvents
industrial tmt resin
industrial trash
industrial treatment sludge
industrial waste
industrial waste chemical
industrial waste met'ls
industrial waste—metals
industrial wastewater
industrial water facility
inert chemical
inert material
injection well
ink residues
ink sludge
ink waste
inks
inorganic acid
inorganic chemicals
inorganic mud
inorganic salts
inorganic wastes
inorganic/organic sludge
insecticide dust under fl
insecticides
insecticides & intermedia
institutional waste
insulation amberlite asbt
insulation material
inter plastic beads
intermediates
iron & steel tines
iron catalyst
iron chloride
iron chlorite
iron ore
iron oxide
iror oxide catalyst
iron powder
iron pyrites
iron sludge
iron<7439-89-6>
isobutyl alcohol<78-83-l>
isopentane
isophovone
isopropanol
isopropyl alcohol
jet fuel sludge
karraex
kelthane<115-32-2>
keltones
kepone<143-50-0>
kerose
kerosene toluene
ketone
ketones & aldehydes
ketones ph<3, >12
kettle scrapings
kettle washings
kiln dust pile
kiln scrubber
knoxweed 52
koh
kolene
kolene salt & polymer
korbuta-arco polymer
krenite press cake
kso4
lab chemicals
lab waste water
laboratory pharmaceutical
laboratory wastes
lacquer sludge
lacquer thinner
lacquer baste
lacquers
lagoon bottoms from stp
lagoon contaminating grnd
lamp base
lamp cement
landfill
landfill leachate
large amoung of egg waste
lasso lOg
latex
latex 10-20% solids
latex compounds
latex emissions
latex emulsion waste
latex emulsions
                         34

-------
                         Accession No.   3103000903
                  (cent)
latex paint residue
latex product sludge
latex sludge
latex solids
latex washings
latex waste
latex waste from cook pnt
latex/metal resid
laundry sludge
leach liquor
leachate
leachate (high in (BOd)
leachate containing toxa
lead arsenate<3687-31-8>
lead bags
lead based products
lead chromate
lead contamination
lead electrodes
lead from paint pigments
lead oxide
lead salts
lead sheets
lead slag
lead sludge
lead smelter
lead sulfate<7446-14-2>
lead sulfide<1314-87-0>
lead wastes
lead<7439-92-l>
leaded gasoline sludge
leaded tank bottoms
light terpene sludge
light turpine
lignions
lignosite
lime
line alum
lime grits & paper
lime sludge
lime waste
line water softng sludge
limestone
lindane<58-89-9>
liquid caustics dumped
liquid chemical
liquid industrial waste
liquid latex
liquid process water
liquid resins
liquid saturated y/n2cl
liquid urea formaldehyde
liquified gas
liquor sludges
liquors
live crabs
live shrimp
love canal waste
low flash solvents
low level pcb
Ipg
lubricants
lubricating oils
lumber treating wastes
magnesium
magnesiu& & bromide salts
magnesium dioxide
magnesium slag
magnesium sludge
raalathion<121-75~5>
maleic acid<110-16-7>
maleic anhydrlde<108-31-6>
manganese dioxide
manganese oxide
manganese<7439-96-5>
racpa tar
mcpa/2, ^t d tar
mea
med* bottoms
melamine sludge
melt furnace slag
mereaptan
mercuric chloride
mercuric fungicides
mercuric nitrate<10045-94-0>
mercuric sulfate<7783-35-9>
mercury<7439-97-6>
raesitylene
metal cans
metal hydroxide sludges
metal hydroxides
metal mining
metal oxides
metal phosphate sludges
metal plating wastes
metal salts
metal shavings
metal slag
metal sludges
metal treatment waste
metal wastes
metallic catalyst
metallic liquids
metals
                         35

-------
                         Accession No«   3103000903
                  (cent)
metals-radioactive
methane
methane gas
methane sulfonic acid
methanol<67-56-l>
methoxychlor<72-43-5>
methyl acrylic acid
methyl benzanthracene
methyl benzphenanthrene
methyl bromide
methyl chloride
methyl chloroform<71-55-6>
methyl dlbenzothiophene
methyl ether
methyl ethyl ketone (nsek)<7fl-93-3>
methyl hydrogen sulfate
methyl i so butyl
methyl isobutyl ketone<108-10-l>
methyl keytone trichlythyl
methyl merthacalate
methyl methacryiate<80-62-6>
methyl parathion<298-00-0>
methyl pentene
methylacrylate
raethylene
methylene bis 2-chloroanl
methylene blue active sub
methylene chlorate
methylene chloride
methylene fluoride
methylenell
methylethyl phenol
me thylnaptha lene
aig(reo3)2
mg(oh)12
mgoh
mlbk
mica dust
raicrobiocedes
mill scale
mill sludge
milling/mine tailings
mine waste
mineral oil
mineral spirits
minicipal waste
mining sludge
mining waste
rairej«2385-85-5>
misc. material
misc. waste
misol
mixed chemical wastes
mlk
moca
molasses
molding compounds
molding sand sludge
molybdenum and compounds
   <7439-98-7>
monitor oils
mono sodium phosphate
monobrochiorate
monochloro pentadiene
monochlorobenzene
monoethanol amine
monomers/polymers
morpholine/hexalene  glyclol
motor oil
msd sludge
msma
fflSM
mud
municipal leachate
municipal sludge
municipal waste - paints
municipal waste - plastic
munitions waste
muriatic acid
mustard agent
Bustard gas
mycelium
raycelliura sludge
mylar
n butylacetate
n-butyl alcohol<71-36-3>
n-Bj ethyl benzaiaid
n-propyl nercap
n2oh
na clo3 solution
na clo4 solution
na silicate
na2co3
na2so4
nabr
nacl
naco3
nalco polymer sludge
naoh
naphtha
naphthalene<91-20-3>
naptha
naptha contaminated slvnt
                         36

-------
                         Accession No.  3103000903
                  (cont)
naptha hydrocarbons
narcotics
narcotine powder
nerve agent vx
nerve gas constituents
nh3
nh3no3
nh3no3 gum gelling agent
nh4 clo4 solution
nh4no3
ni electrolysis soln
ni var x
nickel catalyst
nickel chloride<7718-54-9>
nickel hydroxide<12054-48-7>
nickel oxides
nickel plating sludge
nickel sulfate<7786-81-4>
nickel-cadmium batteries
nickel<7440-02-0>
niso4 sludge
nitrate fertilizer
nitrates/nitrites
nitric acid<7697-37-2>
nitro-carbo-nitrate
nitrobenzene<98-95-3>
nitrocellulose
nitrogen tetroxide<10544-72-6>
nitroglycerine<55-63-0>
nitrophenol a
nltrophenol<25l54-55-6>
nitrotoluene
no 2 fuel oil
no. 6 fuel oil
non process cooling water
non-chlorinated hydrocarb
non-chlorinated solvents
non-contact cooling water
non-ferric oxide sludges
non-ferrous metals
non-ferrous metals waste
non-ferrous smelting waste
non-ferrous solids
non-halogenated solvents
non-polar solvents
noncombustible wood mattr
nonhalogenated oganics
nuclear waste reprocessing
initialized process wastes
nutrients
nylon
nylcn polyester fibers
nylon polymers
o-benzyl-p-chlorophenol
o-xylene<95-47-6>
octachlcrocyclopentadene
octachlorocyclopentadiene
octachlorocyclopentene
odor problem
offgrade k2so4
ohkite
oil and grease
oil based paint
oil derivatives
oil drilling wastes
oil fflud
oil products
oil salv co with Ig pits
oil salvage co with pits
oil shale
oil sheen
oil sludge
oil solids
oil spills
oil tank cleanings
oil wastes
oil-contaminated
oil-contarainated water
oilfield brines/chlorides
oilfield wastes
oily black sludge
oily latex wastes
oily liquid run-off
oily machine waste
oily sand
oily solvents
oily wastes
oily water
oily water sump bottoms
old equipment catalyst
old lead plates
old plastic cased battery
old rubber casing
old tires
old transformer cases
olium
olium spirits
open burning
open trenches dump
organic chemicals
organic compounds
organic contaminants
organic phosphates
organic resins
                         37

-------
                         Accession No.   3103000903
                  (cont)
organic solvents
organics
organo-phosphates
organophosphate pesticide
ornite
orthochlorobenzene
orthocyelopentene
other weapons
oxalic acid
oxazolidone
p-xylene<106-42-3>
p0304p0405p0506pQ6Q7
P0708p0809p0910pl0
plO 20335101773
plOe 008017261
p20S
P255
P4
p4 contaminated saaste
packaging materials
pah compounds
paint
paint carbide git
paint filters
paint pigments
paint primer
paint products
paint residues
paint sludge
paint solvents
paint stripper waste
paint thinner
pallets
paper
paper floor sweepings
paper mill sludge
paper sludge
paper waste sludge
paper wastes
para nonyl phenol
para-cylol
paraffins
par afor«aldehyde< 30525-8 9-4>
P ar ani tr op he no1
parathion<5€-38-2>
Pb
pbcr4
pcb capacitors
pcb contaminated oil
pcb contaminated sludge
pcb contaminated soil
pcb contamination
pcb soaked rags
pcb transformers
pcb-1254 (arochlor 1254)
   <11097-69-l>
pep
pep sludges
pe
peanut dust
penetrant
penta
penta (wood preservative)
penta oil
pentabrouo diphenyl ether
pentachlorobenzene<608-93-5>
pentachlorophene
pentachlorophenol<87-86-5>
pentaerythritol filter ck
pentalyn c resin
pentane nethyl butene
pentas
pentathol
perchlorates
perchloroethylene<127-18-4>
perchloromethyl nercaptan
perco dust
peripittate
perrauthane
pesticide containers
pesticide contain debris
pesticide liquid wastes
pesticide metabolites
pesticide residues
pesticide rinsate
pesticide sludge
pesticide waste
pesticides
pesticides-liquids
petn
petrochemical waste
petroleum coke
petroleum refining waste
petroleum wastes
peutachlorphenol
pharmaceutical wastes
phenanthrene<85-01-8>
phenol formaldehyde
phenol mercuric acetate
phenol tar-resins
phenol urea
phenol<108-95-2>
phenolic binders
phenolic compounds
                         38

-------
                         Accession No.   3103000903
                  (cont)
phenolic mercuric benz acid
phenolic sludges
phenolic waste
phenothiazine
phorate<298-02-2>
phosgene<75-44-5>
phosphate ester pesticide
phosphate fertilizer
phosphate salts
phosphate slag
phosphate sludge
phosphates
phosphoric acid<7664-38-2>
phosphorus and compounds
   <7723-14-0>
phosphorus percipitate
phosphorus trichloride<7719-12-2>
photochemicals
phtalocyanine
phthalates
phthalic anhydride<85-44-9>
piccolene
pichlorobenzene
pickling liquors
pile of sawdust
pit-mid drill contarninat
Pitch
plant trash
plant waste
plaster board
plastic baling twine
Plastic by-products
plastic coatings
plastic pellets
plastic residues
plastic resins
plastic sheets
plastic sludge
plastic wastes
plasticizers
plastics
plastisol
plating metals
plating rinse wastes
plating shop discharges
plating sludges
plating wastes
Plb
plyash
po4 slag
polar
polyacrylomids
polyamide
polybrominated biphenyls (PBBs)
polychlor still btn wsts
polychlorinated biphenyls (PCBs)
polychlorinated hydrocarbon
polychlorinated toluenes
polyester
polyether
polyethylene
polymerized styrene
polymers
polynuclear aromatics
polyol wastas
polyolefin film
polyphenylene sulphide
polypropalene sludge
polyproppalene
polypropylene
polypropylene flakes
polystrene wste
polystyrene
polyurethane elastomer
polyurethane foam
polyvlnyl acetate
polyvinyl alcohol
pot linings
potash
potassium chloride
potassium cyanlde<151-50-8>
potassiua hydroxide<1310-58-3>
potassium/nh4 perchlorate
pothosiura
poultry refuse
pramitol
preservatives
princer 4g
printing ink residue
proc waste (nh4no3)
process water
propanil<709-98-8>
propellant material
proplonic anhydrlde<123-62-6>
pterapthallic sludge
pthalates
pthallic anhydride  wastes
pthallote plasticizers
pulping liquor
pulverized rubber
pvc
pvc resists
pvc sludge
pvc uasts
                         39

-------
                         Accession No.  3103000903
                  (cent)
pycric acid
pyrene<129-00-0>
pyrethum residue
pyridine<110-86-l>
pyritic iron cinder
quarry waste
radiation
radioactive
radioactive wastes
radium
radium 226
radium 226<13982-63-3>
radon gas
radon<10043-92-2>
rainfall runoff
ramrod 20g
reagents
reclaiming wastes
recycling/reprocessing
red dye
red oo^e-waste
red phosphorus
refinery sludge
refractory coatings
refractory debris
resin waste
resins
resorcinol<108-46-3>
retail trash
retones
rhonox
river mud
road asphalts
road oil
rocket motor fuel
rodenticides
roofing pitches
rubber
rubber (butyl)
rubber cement
rubber filter cake
rubber waste
rubbish
rubble
s!02
slf6
salt and resin 1% h20 99%
salt pile
salt water
salts
sand
sanitary sewage
saustlc soda cludges
savage sludge
sawdust
shclS
scale
SCffl
scrap aluminum & brass
scrap film
scrap glass
scrap steel & cast iron
scraps
scrubber residual
scrubber water
sealant
secondary alum dross wste
sediment
sediment sludge (cca)
selenium
selenium<7782-49-2>
septic contaminants
septic tank sludge
septic wastes
settled bottoms
sevin
sevinl parathion
sewage sludge
shock sensitive wastes
silica
silica acidulated bottoms
silica ash
silica cake sludge
silica gel
silica residuals
silica sludge
silicate catalyst
silicon tetrachloride
silver<7440-22-4>
silvex
silvex<93-72-l>
slab-kote II
slag
sludge
sludge dryer residue
sludge from latex dewater
sludge from lumber
sludge-aerobic digesters
sludge-ice
smut
snf2
snoh
so2
soap
                         40

-------
                         Accession No.  3103000903
                  (cont)
soc
soda ash
sodium & aluminum hydroxd
sodium acetate
sodium aluminate
sodium arsenate<7631-89-2>
sodium arsenite<7784-46-5>
sodium benzene hydroxy
sodium carbonate
sodium cell
sodium chlorate
sodium cloride
sodium cyanide<143~33-9>
sodium dichloroisocyanurt
sodium gluconate
sodium hydroxide<1310~73-2>
sodium hypochlorite<7681-52-9>
sodium hypophosphate
sodium hypophosphite
sodium metasilicate waste
sodium nitrate
sodium orthosilicate
sodium perchlorate
sodium phosphate, tribasic
   <7601-54-9>
sodium salts of carboxylc
sodium silicate
sodium sulfate
sodium sulfide
sodium sulfite
sodiura<7440-23-5>
softener
so If on ic acids
solids
solvents
sopper cludge
sos's
sour water stripper bottm
sox scrubber
soy protein filter cake
soybean oil
soybean sludge
spent acids
spent bauxite
spent caustic
spent core sands
spent earth filter medium
spent lime h20-softn bldg
sponge nickel catalyst
spray irrigation sludge
spray rinseate
stabllite
stantic tin chloride
stauffer
still bottoms
stoddard solvent
strontium metal rods
styrafoara
styrene<100-42-5>
sulfates
suitides
sulfinol
sulfur
sulfuric acid<7664-93-9>
sump sludge
synasol anhydride
synthetic rubber
t61t62t63t64t6St66t6
tailings
tallow
tank bottoms
tannery wastes
tannic acid
tar
tdl
tda
tdc
tdi
tea
tsraik (aldicarb)
tenixol
terephthalic acid
terepthalate
tetrachlolo-exhylenee
tetrachloride
tetrachlorobenzene
tetrachloroethyene
tetrachloroethylene<127-18-4>
tetraethyl lead<78-00-2>
tetrahydofuran<109-99-9>
tetrahydropthalimide
tetramethyl thuran disulf
textile mill products
thalic anhydride pitch
thallium<7440-28-0>
thinner
thiodan
thionyl chloride
thiophenol
thoriuns
thorium-232
ti02
tin
tio2 & ticl4
                         41

-------
                             Accession No*   3103000903
                  (cont)
    tioz
    tires
    titanium aluminum oxide
    titanium fines
    tnt
    toluene chlorine
    toluene sulfonic acid
    toluene xylene
    toluene<108-88-3>
    toluol
    tolvene
    tordon  101
    totvene
    toxaphene<8001-35-2>
    toxic materials
    toxic metals
    trace metals
    trans 1/2 Dee
    trarschlordane
    treated seed  corn
    trechloreltylene
    tri fluoro  ethane
    tri-calcium phosphate
    trlchlorchloroethylene
    trlchlorobenzene
    trichloroethane benzene
    trichloroethane<2S323-89-l>
    trichloroethene<79-01-6>
    trichloroethlene
    trlchloroethylene<79-01-6>
    trlchlorofluoromethane<75-69-4>
    trlchloromethane
    trichlorophenol (TCP)<25167-82-2>
    trichlorotuluene
    triethanolamine
    trlethylene glycol
    triflaralin
    trimethy benzene
    trittethyl napthalene
    triphynylene
    tris compound
    trithon waste products
    tritium<10028-17-8>
    trivalent
    trlvalent chromium
    truck
    tsp
    tulldene
turpentine
unknown chemicals
unknown Hastes
uranium<7440-61-l>
urea
urea ammonium nitrate
urea formaldehyde
urethane<51-79-6>
vanadium pentoxide<1314-62-l>
vanadium, tent oxide
vanadiura<7440-62-2>
vansium
varco solvents
varnishes
vcm
vegetable oil waste
vehicles
vinyl acetate<108-05-4>
vinyl chloride<7S-01-4>
vinyl toluene
vinyl wastes
volatile hydrocarbons
volatile materials
volatile organics
wash water
waste glue with phenol
waste oil
wax
weedone c-38
well pond chemicals
well water contamination
whey solids
wood
wood preserving wastes
xylene<1330-20-7>
xylol
zinc chloride<7646-85-7>
zinc chrornate
zinc hydroxide precipitate
zinc nitrate<7779-88-6>
zinc phosphate
zinc phosphide<1314-84-7>
zinc<7440-66-6>
zirconium
zirconium oxide
zn
zn(oh)2
zylene
zylol
    tungsten
(CAS)  CAS registry numbers of substances Included in data  base:  71-55-6
    ; 79-00-5;  75-34-3;  75-35-4;  96-12-8;       107-06-2; 156-60-5;
    106-46-7;  93-76-5;  94-75-7;  51-28-5;  79-46-9;      72-55-9;
                             42

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                             Accession No.   3103000903     (cent)

    101-55-3;  75-07-0;  64-19-7;  108-24-7; 67-64-1; 75-05-8;
    98-86-2; 74-86-2; 79-06-1;  9003-01-4; 107-13-1; 309-00-2;
    10043-01-3;       7429-90-5;  7664-41-7;  1341-49-7? 12125-02-9;
    1336-21-6;  131-74-8;      7783-18-8; 62-53-3; 120-12-7; 1309-64-4;
    7440-36-0;  1327-52-2;    7784-34-1; 1327-53-3; 1303-33-9; 7440-38-2;
    1332-21-4;  1912-24-9;      7440-39-3; 71-43-2; 65-85-0; 98-88-4;
    94-36-0; 7440-41-7; 58-89-9;    319-84-6; 319-85-7; 111-44-4;
    117-81-7;  7440-42-8;  7726-95-6;     75-25-2; 74-83-9; 123-86-4;
    7440-43-9;  7778-44-1;  75-20-7; 1305-62-0;      7778-54-3;
    1305-78-8;  133-06-2;  56-23-5; 57-74-9;  7782-50-5;     108-90-7;
    7738-94-5;  1308-38-9;  18540-29-9; 7440-47-3; 218-01-9;
    8007-45-2;  7440-48-4;  8021-39-4; 1319-77-3; 4170-30-3; 98-82-8;
    57-12-5;  460-19-5;  110-82-7; 108-94-1;  333-41-5; 124-48-1;
    25321-22-6;  75-09-2;  60-57-1; 60-51-5;  124-40-3; 25321-14-6;
    123-91-1;  142-84-7; 330-54-1; 72-20-8;  563-12-2; 141-78-6;
    140-88-5;        56-38-2; 100-41-4; 106-93-4; 107-06-2; 107-15-3;
    7705-08-0;       7720-78-7;  206-44-0; 7782-41-4; 50-00-0; 64-18-6;
    98-01-1;  86-50-0;   76-44-8; 118-74-1;  87-68-3; 77-47-4; 67-72-1;
    70-30-4;  302-01-2;       7647-01-0; 74-90-8; 7664-39-3; 74-90-8;
    7783-06-4;  7439-89-6;     78-83-1; 115-32-2; 143-50-0; 3687-31-8;
    7446-14-2;  1314-87-0;     7439-92-1; 58-89-9; 121-75-5; 110-16-7;
    108-31-6;  7439-96-5;      10045-94-0; 7783-35-9; 7439-97-6; 67-56-1;
    72-43-5;  71-55-6; 78-93-3;       108-10-1; 80-62-6; 298-00-0;
    101-14-4;  2385-85-5;  7439-98-7;  71-36-3;      91-20-3; 7718-54-9;
    12054-48-7;  7786-81-4; 7440-02-0; 7697-37-2;      98-95-3;
    10544-72-6;  55-63-0;  25154-55-6; 95-47-6; 106-42-3;     30525-89-4;
    56-38-2;  11097-69-1;  608-93-5; 87-86-5; 127-18-4;    85-01-8;
    108-95-2;  298-02-2; 75-44-5; 7664-38-2; 7723-14-0;      7719-12-2;
    85-44-9;  151-50-8;  1310-58-3; 709-98-8; 123-62-6;     129-00-0;
    110-86-1;  13982-63-3;  10043-92-2; 108-46-3; 7782-49-2;
    7440-22-4;  93-72-1; 7631-89-2; 7784-46-5; 143-33-9; 1310-73-2;
    7681-52-9;  7601-54-9;  7440-23-5; 100-42-5; 7664-93-9; 127-18-4;
    78-00-2;  109-99-9;  7440-28-0; 108-88-3; 8001-35-2; 25323-89-1;
    79-01-6; 79-01-6; 75-69-4;  25167-82-2;  10028-17-8; 7440-61-1;
    51-79-6;  1314-62-1; 7440-62-2; 108-05-4; 75-01-4; 1330-20-7;
    7646-85-7;  7779-88-6;  1314-84-7; 7440-66-6
(CjjM)  Contact  name(s): Hall,M.    ;     Sraith,M.
(COR)  Contact  organization: Office  of Emergency and Remedial Response
(RCR)  Pesponsible Organization: Office of Legal and Enforcement
    Counsel,
                             43

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                             Accession No.   3202000101

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Same of Data Base of  Model:  Fuels Inspection Data Base
(ACR)  Acronym of Data Base  or Model:  FUELDB
(MED)  Media/Subject of Data Base or Model:  motor gasoline
(ABS)  Abstract/Overview of  Data Base or Model:  The contractor  inspects
    retail gasoline outlets  to     determine whether they comply  with
    applicable regulations.   Samples are subjected to laboratory
    analysis for lead content    and octane.  Outlet facilities are
    checked for compliance with   other regulations.
(CTC)  CONTACTS: Subject matter   Bob Gelraan  (202) 472-9367 }
    Computer-related   Debra Mill
(DTP)  Type of data collection or monitoring: Combination/Other
    gasoline retail outlets
(STA)  Data Base status: Operational/ongoing
(NPP)  Kon-pollutant parameters included in the  data base:  Compliance
    date ;Inspection data ^Location ^Sampling date
(DS)  Time period covered by data base: 01-01-77 to 12-06-82
(TRM)  Termination of data collection: termination not  anticipated in
    foreseeable future
(FRtJ)  Frequency of data collection or sampling: Other  daily/
    throughout the year site selection (frequency) based on   sampling
    plan (infrequent resampling).
(NOB)  Number of observations in data base:  200000.(Estimated)
(NEI)  Estimated annual increase of observations in data base:  15000.
(IMF)  Data base includes: Ran data/observations
(NTS)  Total number of stations or  sources  covered in data  base:  200000.
(MCS)  Ko. stations or sources currently originating/contributing data:
    0.
(NOF)  Number of facilities  covered in data base (source monitoring):  (N
    /*•)
(GSO)  Geographic coverage of data  base: National
(LOG)  Data elements identifying location of station or source  include:
    State ^County ;City >Town/township ^Street address
(FAC)  Data elements identifying facility include: Parent corp  location
(CDS)  Pollutant identification data are: Uncoded
(LiM)  Limitation/variation in data of which user should be aware: None
(DPR)  Data collect./anal, procedures conform to ORD guidelines:  Samplin
    g plan documented Collection method documented
(AWL)  Lab analysis based on EPA-approved or accepted methods?  YES
(AUD)  Lab Audit: Lab audit is satisfactory.
(PR?)  Precision: Precision and accuracy estimates exist but are  not
    included in data base.
(EOT)  Editting; Edit procedures used and documented*
(CBY)  Data collected by: Contractor Bionetics
(A BY)  Cat a analyzed by: EPA lab National Enforcement Investigations
    Center,    Environmental Monitoring Systems  Lab-Research Triangle
    Park
    EPA headquarters Office of Enforcement,  Field Office and    Support
    Division
(IDL)  Laboratory identification: YSS
(PR1)  Primary purpose of data collection:  Compliance or enforcement
(OMB)  Data collected/submitted using OMB-approved EPA  reporting  forms:


                             44

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                             Accession No.   3202000101     (cont)

    QQ
(REP)  Form of available reports and outputs of data base:  Printouts on
    request
    On-line computer
(NOS)  Number of regular users of data base: 40
(USR)  Current regular users of data base:  EPA headquarter  offices
    Field Operations and Support Division    (Fuels section & 2 field
    offices)
(CNF)  Confidentiality of data and Units on access: Limits on outside
    access to data
(DLC)  Primary physical location of data: NCC/IBM
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: Commercial software System 2000 ;IBM 370
(CHG)  Direct charge for non-EPA use: No outside use/access permitted
(OPDT)  Frequency of data base master file up-date: Monthly
(RDBEPA)  Related EPA data bases used In conjunction with this data base
    Field Office Data Base
(CMP)  Completion of form:
    John Holley
    OFC: EPA/(ANR)/(QMS)/(FOSD)#  AD: Marfair Bldg. Washington, DC
    Pfl; (202) 472-9356
(DP)  Date of form completion: 12-06-82
(NCAS)  Number of CAS registry numbers in data base: 12-06-82
(MAT)  Substances represented in data base!
    lea
(CAS)  CAS registry numbers of substances Included in data  base: 7439-92
    -1
(CNM)  Contact name(s): Gelman/B. ;    Hilliams^O.
(RQR)  Responsible Organization: Office of Air/ Noise and
    Radiation.Office of Mobile Sources.Field Operations and Supp
                             45

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                             Accession No.   3202000102

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model;  Manufacturer's Data  Base
(ACR)  Acronym of Data Base or Model:  MY76PQ
(MED)  Media/Subject of Data Base or Model:  Mobile source emissions
(ABS)  Abstract/Overview of Data Base  or Models  the data base  compiles
    ongoing test data from utanu-    facturers in order  to determine
    whether they comply with    applicable  regulations  for hydrocarbon^
    carbon monoxide/    and nitrogen dioxide emissions.   Incoming  data
    is subject   to quality and validity checks  which are written  into
    the   program.
(CTC)  CONTACTS: Subject matter   John Hoiley  (202) 472-9356>
    Computer-related  Peggy Boern
(DTP)  Type of data collection or monitoring: Combination/Other
    manufacturers test data
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances represented in  Data  Base: 7 criteria NAAQS
(NPP)  Non-pollutant parameters included in the  data base: Location
    ;Msnufacturer ;Sampling data ^Test/analysis  method  |    Test
    conditions
(DS)  Time period covered by data base: 06-01-75 TO C9-30-81
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: Other  ongoing
    voluntary reporting of test data
(NOB)  Number of observations in data  base:  40000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: 8000.
(IHF)  Data base includes: Raw data/observations ^Summary aggregate
    observations
(NTS)  Total number of stations or sources  covered in data base: 30.
(NCS)  Ko. stations or sources currently originating/contributing  data:
    30.
(NQF)  Number of facilities covered in data base (source monitoring):  (N
    /A.)
(GSO)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or source include:
    Car manufacturer
(FAC)  Data elements identifying facility include: Parent corp name
(CDE)  Pollutant identification data are: Oncoded
(LIM)  Limitation/variation in data of which user should be  aware: Stati
    stical sampling procedures not adhered  to     by manufacturers.
(DPR)  Data collect./anal, procedures  conform to DRD guidelines: ORD
    Guidelines
(ASIL)  Lab analysis based on SPA-approved or accepted methods? Y.ES
(AUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist for all
    measurements
(EDT)  Fdittlng: Edit procedures used  but undocumented.
(CBY)  Data collected by: Self reporting manufacturers
(ABY)  Data analyzed by: EPA headquarters Field  operations and Support
    Division/Mfg. Operations Div./Office of Mobile Sources
(IDL)  Laboratory identification: YSS
(PR1)  Primary purpose of data collection:  Compliance or enforcement
(OMB)  Data collected/submitted using  OMB-approved SPA  reporting forms:


       '...".              46 •.'•'.

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                             Accession Do.   3202000102      (cont)

    QQ
(PEP)  Form of available reports and outputs of data base:  Printouts  on
    request
    On-line computer
(NUS)  Number of regular users of data base:  40
(USR)  Current regular users of data base:  EPA headquarters offices
    Field Operations and     Support Division/Mf g.  Operations
    Div./Office of Mobile Sources
(CNF)  Confidentiality of data and limits on access: Limits on  outside
    access for some data
(DLC)  Primary physical location of data: KCC/IBM
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: EPA software Special Fortran and PL-1
    Programs ;   EPA hardware IBM 370/168
(CHG)  Direct charge for non-EPA use: No outside use/access permitted
(UPDT)  Frequency of data base master file  up-date: Other continually
(CMP)  Completion of form:
    Kit Cataldo
    OFC: EPA/(OE)/(OMSN RE)/(FOSD)
    AD: Marfair Bldg. Washington, DC
    PH: 202-472-9356
(OF)  Date of fora completion: 12-06-82
(NMAT)  Number of substances represented in data base:  3
(IICAS)  Number of CAS registry numbers in data base: 12-02-82      1
(MAT)  Substances represented in data base:
    carbon monoxide<630-08-0>            nitrogen oxides
    hydrocarbons
(CAS)  CAS registry numbers of substances included  in data base: 630-08-
    0
(CNM)  Contact name(s): Holley,J. }    Boerner,?.;    Bennet,K.
(ROR)  Responsible Organization: Office of  Air, Noise and
    Radiation.Office of Mobile Sources.Field Operations and Supp
                             47

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                             Accession No.   3202000103

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Kama of Data Base of  Model:  Field Office Inspection  Data  Base
(ACR)  Acronym of Data Base  or Model:  IHSPECTE(ast)  S, INSPECTM(est)
(MED)  Media/Subject of Data Base or Model:  vehicle  tampering  jfuel
    violations
(ABS)  Abstract/overview of  Data Base  or Model:  The  data  base  stores
    EPA field office data concerning  possible vehicle  tampering and
    fuels violations.  The data  include an  ongoing  log of  case  status
    so that lawyers in the     Eastern Field Office  (Hockville,  Md) and
    Western Field Office    (Denver, Co) can continually  monitor the
    progress of litigation,
(CTC)  CONTACTS:  Subject matter   Steve Albrlnk  (202)  472-9363    ;
    Computer-related  Anita
(DTP)  type of data collection or monitoring:  Combination/Other  field
    office data
(STA)  Data Base  status:  Operational/ongoing
(JfPP)  Non-pollutant parameters included in  the data base:  Compliance
    data ;Cost/econoniic data ;Geographic subdivision ;      Industry
    ;Inspection data ;Location ^Manufacturer ;Physlcal  data ;
    Political subdivisions ;Sampling data ;Site description ;nozzle
    valve violations ;   fuel contamination  ;tampering  data
(DS)  Time period covered by data base: 09-01-78 TO  09-30-81
(TRM)  Termination of data collections Not anticipated
(FRQ)  Frequency  of data collection or sampling: Other  as possible
    violations are reported  or identified
(NOB)  Number of  observations in data  base:  2542.(Actual)
(NED  Estimated  annual Increase of observations In  data  base: 800.
(INF)  Data base  includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources covered  in data  base: 2542.
(NCS)  Ko. stations or sources currently originating/contributing data:
    (N/A.)
(NQF)  number of  facilities  covered in data  base (source  monitoring):  25
    42.
(GEO)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or source include:
    State ;City ;ToMn/township ^street address ^Project identifier
(FAC)  Data elements identifying facility include:  Plant  facility name
    jPlsnt location ^Parent  corp name  /Parent corp  location /     Street
    address ;Program identifier
(CDE)  Pollutant  identification data are: Other coding  scheme  Uncoded/
    lab analysis  results not included  in data base
(LIM)  Limitation/variation in data of which user should  be aware: None
(DPR)  Data collect./anal, procedures  conform to ORD guidelines: Collect
    ion method documented ;Analysis method documented ;QA procedures
    document
(AfIL)  Lab analysis based on EPA-approved or accepted methods? YES
(ADD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision  and accuracy estimates  are  not  available
(EOT)  Fdittlng:  Edit procedures used  and documented.
(CBY)  Data collected by: Regional office Surveillance  and  Analysis
    Divisions jEPA headquarters Field  Oper offices


                             48

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                             Accession No.   3202000103     (cent)

(ABY)  Data analyzed by:  EPA lab National Enforceaent Investigations
    Center,    Environmental Monitoring Systems Lab-Research Triangle
    Park
    EPA headquarters Field Operations and Support Div.
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Compliance or enforcement
(AUT)  Authorization for  data collection: Statutory authorization  is P
    L 88-206 as amended,  Sections 114,211,301 (Clean Air Act)     (No
    citation, however, there is statutory authority for the
    investigative powers  which create need for data base.)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base:  Printouts on
    request
    On-line computer
OlUS)  Number of regular  users of data base: 75
(USR)  Current regular users of data base:  EPA headquarter  offices
    In-Dse Branch, Field  Operations and Support   Division  & 2 field
    offices.
    EPA regional offices
(COT1)  Confidentiality of data and limits on access: Limits on outside
    access for some data
(DLC)  Primary physical location of data; NCC/I8M
(DST)  Form of data storage: Magnetic tape ;Magnetic disc
(DAC)  Type of data access: EPA software SAS and locally developed
    programs ;SPA hardware IBM 370/168
(CHG)  Direct charge for  non-EPA use: no outside use/access permitted
(UPDT)  Frequency of data base master file up-date: Keekly
(RDBEPA)  Related F.PA data bases used in conjunction with this data base
    Possible Violations as Identified  in the Fuels Inspection Data
    Base feed into INSPECT
(CMP)  Completion of form:
    Kit Cataldo
    OFC: EPA/(OE)/(OMSN RE)/(FO SD)
    AD: Marfair Bldg. Washington, DC
    PH: (202) 472-9356
(DF)  Date of form completion: 12-06-82
(NMAT)  Number of substances represented in data base: 1
(NCAS)  Number of CAS registry numbers in data base: 1
(MAT)  Substances represented in data base:
    lead<7439-92-l>
(CAS)  CAS registry numbers of substances included in data  base: 7439-92
    -1
(CNM)  Contact name(s): Albrink,S.j    Mercado,A.;    Sennet,K.
(RQR)  Responsible Organization: Office of Air, Noise and
    Radiation.Office of Mobile Sources.FieId Operations and Supp
                             49

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                             Accession No.   3203000001

(OQ)  Date of Questionaire:  12-02-82
(NAM)  Karae of Data ease of  Model:  Truck Noise Data Base
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model:  Noise
(ABE)  Abstract/Overview of  Data Base  or Model:  The data  base contains
    truck noise data,     consisting of truck description parameters
    and    measured sound levels from  several sources.  These
    sources include production verification/  surveillance,  and
    selective enforcement audits.
(CTC)  CONTACTS:  Subject matter R.C. Rose (202)382-7758;
    Computer-related R.C. Rose (202)382-7758; EPA Office  R.C. Rose
    (202)382-7758
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base  status: Operational/ongoing
(GRP)  Groups of  substances  represented in  Data Base: noise
(?IPP)  non-pollutant parameters included in the data base:  Manufacturer
(DS)  Time period covered by data base: 01-01-78 TO 09-30-80
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency  of data collection or sampling: as needed
(NOB)  Number of  observations in data  base:  6020.(Actual)
(NSI)  Estimated  annual increase of observations in data  base: 2000.
(INF)  Data base  includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data base:  36.
(NCS)  Mo. stations or sources currently originating/contributing data:
    30.
(NOF)  Number of  facilities  covered in data base (source  monitoring): 36
    •
(GEO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of  station or source include:
    non applicable
(FAC)  Data elements identifying facility include: Parent corp name
    ;Program identifier
(CDE)  Pollutant  identification data are: Encoded
(LiM)  Limitation/variation  in data of uhich user should  be aware: Two
    different methods of measuring sound     level are used,  giving two
    different types of test  data.
(DPR)  Data collect./anal, procedures  conform to ORD guidelines:  Collect
    ion method documented ;Analysis method  documented ;QA procedures
    document
(AND  Lab analysis based on EPA-approved or  accepted methods? YES
(ADD)  Lab Audit: Data not based on lab analysis.
(PRS)  Precision: Precision  and accuracy estimates exist  but  are  not
    included in data base.
(EDT)  Fditting:  Edit procedures used  but undocumented.
(CBY)  Data collected by: Self reporting ;Contractor several  ;EPA
    headquarters  Noise Enforcement Facility/  Radiation Enforcement
    Div./Office of Enforcement
(AB¥)  Data analyzed by: EPA headquarters Noise Enforcement
    Facility/Noise and  Radiation Enforcement Div./Office of
    Enforcement
(IDL)  Laboratory identification: YES
(PHI)  Primary purpose of data collection:  Compliance or  enforcement


                             50

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                             Accession No.   3203000001      (cent)

(PR2)  Secondary purpose of data collection:  Short test noise
    development
(AUT)  Authorization for data collection:  Statutory authorization  is  P
    L 95-574 as amended by P L 94-301 and      P L 95-609,  Section  13
    (Noise Control Act of 1972-NCA)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(RSP)  Form of available reports and outputs  of data base:  Printouts  on
    request
(NUS)  Number of regular users of data base:  20
(USR)  Current regular users of data base:  EPA headquarter offices
    Noise & Radiation Enforcement Division,  Office of  Noise Abatement
    and Control.
(CNF)  Confidentiality of data and limits  on  access: No limits on
    access to data
(DLC)  Primary physical location of  data:  NCC/IBH
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access; Commercial software System  2000 ;EPA
    hardware IBM 370/168
(CHG)  Direct charge for non-EPA use: No outside use/access permitted
(UPDT)  Frequency of data base master file up-date: Weekly
(RSS)  Related EPA automated systercs which use data base:  Site Flatness
    Computer  Program-Graphic capability;  General Purpose   Correlation
    Program
(CMP)  Completion of form:
    R.C. Rose!    OFC: EPA/{OANR)/(OPE)#   AD: EPA Office  of Air,  Noise
    & Radiation*    401 M St., S.W., Washington, DC 20460*  PH:
    (202)382-7758
(DF)  Date of form completion: 12-15-82
(NMAT)  Number of substances represented in data base:  1
(MAT)  Substances represented in data base:
    sound pressure level
(CNM)  Contact name(s): R.C.Rose (202)382-7758
(ROR)  Responsible Organization: Office of Air, Noise and
    Radiation.Office of Policy and Evaluation.
                             51

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                             Accession No.   3203000002

(DQ)  Dete of Questionaire: 12-02-82
(MAM)  Name of Data Base of Model:  Portable Air Compressor  Noise  Data
    Base
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model: Noise
(ABS)  Abstract/Over view of Data Base  or Model:  The data base  is  a
    collection of portable air     compressor noise data,, including
    compressor descriptive     parameters and measured  sound level/
    obtained from many     test sources such as production
    verification/ surveillance/ and selective enforcement audits. Data
    is being automated  on PDP-11.
(CTC)  CONTACTS:  Subject matter R.C. Rose (202)382-7758;
    Computer-related R.C. Rose (202)382-7758; EPA Office R.C.  Rose
    (202)382-7758
(DTP)  type of data collection or monitoring: Ambient data  collection
(STA)  Data Base  status: Operational/ongoing (automation underway:
    operational date 1/81)
(GRp)  Groups of  substances represented in  Data Base: noise
(NPP)  Jion-pollutant parameters included in the data base:  Manufacturer
(DS)  Time period covered by data base: 01-01-78 TC 09-30-80
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency  of data collection or sampling: as needed
(NOB)  Number of  observations in data  base: 1091.(Actual)
(MSI)  Estimated  annual increase of observations in data base:  300.
(IMF)  Data base  includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data  base:  18.
(NCS)  No. stations or sources currently originating/contributing data:
    17.
(NOF)  Kumber of  facilities covered in data base (source monitoring):  18
    * *
(GSO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source  include:
    non applicable
(FAC)  Data elements identifying facility include: Parent corp  name
    ;Program identifier
(CDS)  Pollutant  identification data are: Oncoded
(LIM)  Limitation/variation in data of which user should be auare: None
(DPR)  Data collect./anal, procedures  conform to DRD guidelines:  Collect
    ion method documented ^Analysis method  documented ;QA procedures
    document
(ANL)  Lab analysis based on SPA-approved or accepted methods?  YES
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision and accuracy estimates exist but are  not
    included in data base.
(EDT)  Fditttng:  No known edit procedures exist.
(CBY)  Data collected by: Self reporting Contractor several ;EPA
    headquarters  Noise Enforcement Facility/ Radiation  Enforcement
    Division/Office of Enforcement
(ABY)  Data analysed by: EPA headquarters Noise Enforcement
    Facility/Noise and  Radiation Enforcement Division/Office  of
    Enforcement
(IDL)  Laboratory identification: YES


                             52

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                             Accession No.   3203000002     (cont)

(PRl)  Primary purpose of data collection;  Compliance or enforcement
(AUT)  Authorization for data collection:  Statutory authorization  is  P
    L 92-574 as amended by P L 94-301 and      P L 95 609, section  13
    {Noise Control Act of 1972-NCA)
(QMS)  Data collected/submitted using QHB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Printouts  on
    request
(NUS)  Number of regular users of data base: 18-20
(USR)  current regular users of data base:  EPA headquarter  offices
    Noise and Radiation Enforcement Division
(CNF)  Confidentiality of data and limits  on access: Limits on access
    within EPA and outside agency for some   data
(DLC)  Primary physical location of data:  Headquarters office
(DST)  Form of data storage: summary sheets
(DAC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: No outside use/access permitted
(UPDT)  Frequency of data base master file  up-date: Meekly
(CMP)  Completion of form:
    R.C. Rosef    OFC: EPA/(OASR)/(QPE)#   AD: EPA Office of Air,  Noise
    and Radiation^  401 M St., S.B., Washington, DC 20460#   PH:
    (202)382-7758
(DF)  Date of form completion: 12-15-82
(NMAT)  Number of substances represented in data base: 1
(MAT)  Substances represented in data base:
    sound pressure level
(CUM)  Contact narae(s): R.C. Rose (202)382-7758
(ROR)  Responsible Organization: Office of  Air, Noise and
    Radiation.Office of Policy and Evaluation.
                             S3

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                             Accession  No.   3302000101

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Permit Compliance System
(ACR)  Acronym of Data Base  or  Model: PCS
(MED)  peelia/Subject of Data Base or Model:  Effluents National
    Pollutant Discharge Elimination System  (NPDES)  permitted  facilities
(ABS)  Abstract/Overview of  Data  Base or Model:  The Permit Compliance
    System is an opera-    tional data  base,  supporting  the National
    pollutant Discharge   Elimination  System (NPDES).   Among other
    things it acts as a repository  for    effluent  reported values  from
    Discharge Monitoring Reports  (DMR).
(CTC)  CONTACTS: Subject matter  Deia  Ng   (202)  755-0994     ;
    Computer-related    Jean Malachovski  (703)  683-0885 ;   EPA Office
    Office of Water  Enforcement   (202) 755-0994
(DTP)  Type of data collection  or monitoring:  Point source data
    collection National Pollutant Discharge  Elimination  System  (NPDES)
    permitted facilities
(STA)  Data Base status; Presently  operational/ongoing
(NPP)  Non-pollutant parameters included in  the  data base: Collection
    method ;Compliance data  /Discharge  points ;Flow rates ;
    Geographic subdivision ;lndustry ;Inspection  data ;Location  ;
    Political subdivisions ;Salinity ;Sampling date ;Temperature ;
    Test/analysis method ;Treatment devices  ;selected National
    Pollutant Discharge Elimination System  (  permit application  data
    Rational Pollutant Discharge Elimination Systea (NPDES)  permit
    effluent limits
(DS)  Time period covered by data base: 01-01-75  TO present
(TRM)  Termination of data collection:  Not anticipated
(FRQ)  Frequency of data collection or  sampling:  Other ongoing:  varies
    by National Pollutant Discharge Elimination     System (NPDES)
    facility
(NOB)  dumber of observations in  data base:  254000.(Estimated)
(NET)  Estimated annual increase  of observations  in data base: 5950.
(IMF)  Data base includes: raw  data/agregate data:  varies by permit
(NTS)  Total number of stations or  sources  covered  in data base: 133000.
(NCS)  No. stations or sources  currently originating/contributing data:
    80,735.
(NQF)  lumber of facilities  covered in  data  base  (source monitor ing):  94
    ,386.
(GSO)  Geographic coverage of data  base: National
(LOG)  Data elements identifying  location of station or  source include:
    State ;County ;City ;Street address ;Project  identifier ;NPDES
    number (National
(FAC)  tata elements identifying  facility include:  Plant facility name
    ;Plant location ;Street  address jSIC code ;   Dun Bradstreet ;NPDES
(CDE)  Pollutant identification data are: Storet  parameter
(LIN)  Limitation/variation  in  data of  which user should be aware:  Sarapl
    ing periods vary by permittee;  collection Is  by  permittee; when
    sampling (Discharge Monitoring  Report)  data  entry begins  approach
    will be phased region by region over  several months and  includes
    only major facilities.  Quality assurance documentation is
    currently being developed.
(DPR)  Data collect./anal, procedures  conform to  CRD guidelines: Samplln


                             54

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                             Accession 80.   3302000101      (cont)

    g plan documented ^Collection method documented /Analysis  method
    document
(PRE)  Precision:  Precision and accuracy estimates partially exist  for
    edit most data for     reasonableness where applicable.
(EOT)  Fditting:  Edit procedures used and documented.
(CBY)  Data collected by:  Self reporting permittees

       6>                                l/2-dichloropropane<78-87-5>
    1,1,2,2,-tetrachloroetnane           l,2-dichloropropylene<563-54-2>
       <79-34-5>                          l,2-diphenylhydrazine<122-66-7>
    l/l/2-trichloroethane<79-00-5>       1,2-trans-dichloroethylene
    l,l-dichloroethane<75-34~3>             <156-60-5>
    l,l-dichloroethylene<75-35-4>        l/3-dichlorobenzene<541-73-l>
    l/2/4,-trichlorobenzene<120-82-l>    l,4-dioxane<123-91-l>
    1,2-dichlorobenzene<95-50-l>


                             55

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                         Accession No.  3302000101
                  {cont)
If 4,5-trichlorophenoyacetlc acid
   (13-76-51
If4-dichlorobenzenCl06-46-7J
2,4,6-chlorophenol<88-06-2>
2/4-dichlorophenol<120-83-2>
2,4-diraethylphenol<105-67~9>
2f 4-dinitrophenol<51-28-5>
2,4-dinitrotoluene<121-14-2>
2f6-dinitrotoluene<606-20-2>
2-cfcloroethylvinyl ether<110-75-8>
2-chloronaphthalene<91-58-7>
2-chlorophenol<95-57-8>
2 naphthylamine<91-59-8>
2-nitrophenol<88-75-5>
2~S€cbutyl-4/6-dinitrophenol
   <88-85-7>
3,3*-dIchlorobenzidine<91-94-l>
3,4-benzofluoranthene<205-99-2>
4,4*-dd<3(p,p'tde)
4/4'-dde(pifP'-ddx)<72-55-9>
4,4'-ddt<50-29-3>
4y6-dinitro-o-cresol<534-52-l>
4-bromophenyl phenyl ether
   <101-55-3>
4-cfclorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
acenaphthene<83-32-9>
acenaphthylene<208-96-8>
acetic acid<64-19-7>
acidity
acrolein<107-02-8>
acrylonitrile<107-13-l>
aldrin<309-00-2>
alkalinity
aluminum<7429-90-5>
aluminum sulfate<10043-01-3>
ammonia<7664-41-7>
anthracene<120-12-7>
antimony<7440-36-0>
arsenlc<7440-38-2>
asbestos<1332-21-4>
atrazine<1912-24-9>
bariuin<7440-39-3>
benzene<7l-43-2>
ben2idlr«e<92-87-5>
ben70(a)anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
benzo(g/h/i)perylene<191-24-2>
benzo(k)fluoranthene<207-08-9>
beryllium<7440-41-7>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
bhc-{lindane)-gafflraa<58-89-9>
bis (2~chloroethoxy)me thane
bis(2-chloroethyl)ether
bis(2-chloroisopropyl)ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis(chloromethyl)ether<542-88-l>
bismuth coapounds<7440-69-9>
boron contpounds<7440~42-8>
bromine<7726-95-6>
bronoinethane<74-83-9>
butyl benzyl phthalate<85-68-7>
c admiuin<7440-43-9>
captan<133-06-2>
carbofuran<1563-66-2>
carbon disulf ide<75-15-0>
carbon tetrachloride<56-23-5>
chloral<75-87-6>
chlordane<57-74-9>
chlorlne<7782-50-5>
chlorobenzene<108-90-7>
chlorodibrOffiomethane<124-48-l>
chloroethane<75-00-3>
chlorof orm<67-66-3>
chloromethane<74-87-3>
chromium<7440-47-3>
chrysene<218-01-9>
cobalt<7440-48-4>
copper<7440-50-8>
c oumaphos< 56- 72-4>
cyanide<57-12-5>
cyclohexane
di-n-octyl phthalate<117-84-0>
diazinon<333-41-5>
dibenzo(a,h)anthracene<53-70-3>
di-n-butyl phthalate<84-74-2>
dichlone<117-80-6>
dichlorobenzene< 253 21-2 2-6>
dichlorobro!Boraethane<75-27-4>
dichlorodi£luororaethane<75-71-8>
dichlorooethane<75-09-2>
dieldrin<60-57-l>
diethyl phthalate<84-66-2>
diethylstilbestrol<56-53-l>
dimethyl phthalate<131-ll-3>
dissolved oxygen
dissolved solids
disul fo ton<298-04-4>
                         56

-------
                         Accession So.  3302000101
                  (cont)
diuron<330-54-l>
endosulfan-beta<33213-65-9>
endosulfan-alpha<959-98-8>
endosulfan sulfate<1031-07-8>
endrin<72-20-8>
endrin aldehyde<7421-93-4>
epichlorohydrin<106-89-8>
ethion<563-12-2>
ethyl parathlon<56-38-2>
ethylbenzene<100-41-4>
fecal coliform
feric cyanide
ferrous suitate<7720-78-7>
fluoranthene<206-44-0>
flucrene<86-73-7>
fluorides
forraaldehyde<50-00-0>
furfural<93-01-l>
gross alpha
guthion<86-50-0>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
hexcchlorobutadiene<87-68-3>
hexschlorocyclopentadiene<77-47-4>
hexechloroethane<67-72-l>
hydrazine
hydrocarbons
hydrochloric acid<7647-01-0>
hydrogen cyanide<74-90-8>
hydrogen sulfide<7783-06-4>
indeno (1, 2, 3-cd)pyrene<193-39-5>
iodine 129<15046-81-1>
iror,<7439-89-6>
isophorone<78-59-l>
isoprene<78-59-1>
kelthane<115-32-2>
kepone<143-50-0>
lead<7439-92-l>
lithium and compounds<7'439-93-2>
malathion<121-75-5>
manganese<7439-96-5>
mercury<7439-97-6>
aiethoxychlor<72-43-5>
methyl ethyl ketone (mek)<78-93-3>
methyl isobutyl ketone<108-10-l>
methyl raercaptan<74-93-l>
methyl methacrylate<80-62-6>
methyl parathion<298-00-0>
rair€X<2385-85-5>
molybdenum and compounds
   <7439-98-7>
n-nitroscdi-n-propylamine
   <621-64-7>
n-nitrosodimethylamine<62-75-9>
n-nitrosodlphenylaiBine<86-30-6>
naphthalene<91-20-3>
nickel<7440-02-0>
nitrates/nitrites
nitrobenzene<98-95-3>
nitrogen<7727-37-9>
nitroglycerine<55-63-0>
oil and grease
oxygen demand
p-chloro-ra-cresol<5 9-50-7 >
PH
parathion<56-38-2>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorophenol<87-86-5>
phenanthrene<85-01-8>
phenol<108-95-2>
phosphorus<7723-l 4-0>
phthalic acid<88-99-3>
polybrominated biphenyls (PCBs)
   vario polybrominated biphenyls
   (PCBs) various
polychlorinated biphenyls (PCBs)
   various
potassiure<7440-09-7>
pro pargite<231 2-35- 8>
proplyene oxide<75-56-9>
pyrene<129-00-0>
pyrethrin<121-29-9>
radioxenon
radium 226<13982-63-3>
rotenone<83-79-4>
selenium<7782-49-2>
silver<7440-22-4>
sodiuni<7440-23-5>
sodium arsenite<7784-46-5>
sodium nitrite<7632-00-0>
                         57

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                             Accession No.  3302000101     (cent)

    styrene<10G-42-5>                    trifluraline<1582-09-8>
    sulfates                             tritium<10028-17-8>
    sulfides                             uranium 235<15117~96-1>
    suspended solids                     turbidity
    tetrachloroethylene<127-18-4>        uranium 238<7440-61-1>
    thailium<7440-28-0>                  uranium<7440-61-l>
    titeniuni<7440-32-6>                  vanadium<7440-62-2>
    toluene<108-88-3>                    vinyl acetate<108-05-4>
    tcxaphene<8001-35-2>                 vinyl chloride<75-01-4>
    trichloroethane<79-10-6>             xylene<1330-20-7>
    trichloroethylene<79-01-6>           zinc<7440-66-6>
    trichlorofluoroaethane<75-69-4>
(CJ\S)  CAS registry numbers of substances included in data base: 71-55-6
    ; 79-34-5? 79-00-5? 75-34-3; 75-35-4;       120-82-1; 95-50-1;
    107-06-2; 78-87-5; 563-54-2; 122-66-7; 156-60-5;   541-73-1;
    123-91-1; 88-06-2; 120-83-2; 105-67-9; 51-28-5; 121-14-2;
    606-20-2; 110-75-8; 91-58-7; 95-57-8; 91-59-8; 88-75-5; 88-85-7;
    91-94-1; 205-99-2; 72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3;
    100-02-7; 83-32-9; 208-96-8; 64-19-7; 107-02-8; 107-13-1; 309-00-2;
    7429-90-5; 10043-01-3; 7664-41-7; 120-12-7; 7440-36-0; 7440-38-2;
    1332-21-4; 1912-24-9; 7440-39-3; 71-43-2; 92-87-5? 56-55-3;
    50-32-8;       191-24-2; 207-08-9; 7440-41-7; 319-84-6; 319-85-7;
    319-86-3; 58-89-9;      111-91-1; 111-44-4; 39638-32-9; 117-81-7;
    542-88-1; 7440-69-9;   7440-42-8; 7726-95-6; 74-83-9; 85-68-7;
    7440-43-9; 133-06-2;     1563-66-2; 75-15-0; 56-23-5; 75-87-6;
    57-74-9; 7782-50-5; 108-90-7;   124-48-1; 75-00-3; 67-66-3;
    74-87-3; 7440-47-3; 218-01-9; 7440-48-4;       7440-50-8; 56-72-4;
    57-12-5; 110-82-7; 117-84-0; 333-41-5; 53-70-3;   84-74-2;
    117-80-5; 25321-22-6; 75-27-4? 75-71-8; 75-09-2; 60-57-1;
    84-66-2; 56-53-1; 131-11-3; 298-04-4; 330-54-1; 33213-65-9;
    959-98-8?      1031-07-8; 72-20-8; 7421-93-4; 106-89-8; 563-12-2;
    56-38-2; 100-41-4;      7720-78-7? 206-44-0; 86-73-7; 50-00-0;
    98-01-1; 86-50-0; 1024-57-3;   76-44-8; 118-74-1; 87-68-3; 77-47-4;
    67-72-1; 7647-01-0; 74-90-8?     7783-06-4; 193-39-5; 15046-84-1?
    7439-89-6; 78-59-1; 78-59-1;    115-32-2; 143-50-0; 7439-92-1;
    7439-93-2; 121-75-5; 7439-96-5;   7439-97-6; 72-43-5; 78-93-3?
    108-10-1; 74-93-1; 80-62-6; 298-00-0;    2385-85-5; 7439-98-7;
    621-64-7; 62-75-9? 86-30-6? 91-20-3; 7440-02-0;      98-95-3?
    7727-37-9? 55-63-0? 59-50-7; 56-38-2; 12674-11-2;       11104-28-2?
    11141-16-5; 53469-21-9; 12672-29-6; 11097-69-1?      11096-82-5?
    87-86-5; 85-01-8; 108-95-2; 7723-14-0; 88-99-3;      7440-09-7;
    2312-35-8; 75-56-9; 129-00-0; 121-29-9? 13982-63-3?   83-79-4?
    7782-49-2? 7440-22-4; 7440-23-5? 7784-46-5; 7632-00-0;
    100-42-5; 127-13-4; 7440-28-0; 7440-32-6; 108-88-3; 8001-35-2?
    79-01-6? 75-69-4? 1582-09-8; 10028-17-8? 15117-96-1; 7440-61-1;
    7440-61-1; 7440-62-2; 108-05-4; 75-01-4? 1330-20-7? 7440-66-6
(CNM)  Contact name(s): Ng,D.  ?  Malochouski/J.
(COR)  Contact organization: Office of Hater Enforcement
(ROR)  Responsible Organization: Office of Water.Office of Water
    Enforcement and Permits.Enforcement Division.
                             58

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                             Accession Mo.   3403000901

(DQ)   Dcte of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Compliance Data  System
(ACR)  Acronym of Data Base  or  Model:  CDS
(MED)  Media/Subject of Data Base or Model:  Air ;0ther  compliance
    information
(ABS)  Abstract/Overview of  Data Base  or Model: The Compliance  Data
    System (CDS)  Is a management  information system used  to  store and
    retrieve compliance    related information about plants/  factories/
    and other stationary sources of air pollution.   The system  uas
    developed   between 1972 and 1974  by EPA's Stationary  Source
    Compliance Division (SSCD)  for use at EPA headquarters and   at EPA
    regional offices to meet the EPA's information  needs.
(CTC)  CONTACTS:  subject matter Franklin C.  Smith (202) 382-2833;
    Computer-related Greg Fischer (203)289-8631;  EPA Policy  Howard
    Wright (202)382-2833
(DTP)  Type of data collection  or monitoring: Point source data
    collection stationary source
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in Data Base: 5 NESflAPS ;7
    criteria NAAQS ?3 111D CAA
(NPP)  Non-pollutant parameters included in the data base: Compliance
    data ;Discharge points ;lndustry  ;Inspect!on data ;    Location
    ;Manufacturer political subdivisions ^Production levels  ;    Site
    description
(DS)   Time period covered by data base: 01-01-74 to 12-31-82
(TRW)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: weekly ^quarterly
(NOB)  dumber of observations in data base:  16000000 or
    more.(Estimated)
(NEI)  Estimated annual increase of observations in data base:  2000000
    (or more.)
(INF)  Data base includes: Summary aggregate observations  ^Reference
    data/citations
(NTS)  Total number of stations or sources covered  in data base:  100000
    (or more.)
(NCS)  No. stations or sources  currently originating/contributing  data:
    27000 (or more.)
(NQF)  Number of facilities covered in data base (source monitoring): 50
    000.
(GSO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source  include:
    State JCounty ;City ;Town/township ;Street address ;Project
    identifier
(FAC)  Data elements identifying facility include:  Plant facility  name
    ;Plant location ^Street address ?SIC code ;   SCC ^Program
    identifier
(CDE)  Pollutant identification data  are: Other coding scheme National
    Emissions Data System (NEDS)
(LIM)  Limitation/variation in data of which user should be aware: Point
    Level information is not updated   as frequently as source level
    data.
(DPR)  Data collect./anal, procedures conform .to GRD guidelines:  Samplin


                             59

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                             Accession No.   3403000901      (cont)

    g plan documented >Collection method documented ;Analysis method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(PRE)  Precision:  Precision and accuracy estimates are  not available
(EBT)  Emitting: Edit procedures used and documented.
(CBY)  Data collected by: Self reporting Permittees ;Local agency Air
    Pollution Control Boards ? State agency Air Pollution Control
    Boards ^Regional office Surveillance and Analysis Divisions ;
    SPA headquarters stationary Source Compliance Division
(ABY)  Data analyzed by:  Local agency Air Pollution Controls Boards
    State agency Air Pollution Controls Boards
    Regional office Surveillance and Analysis Division
    SPA headquarters
(IDL)  Laboratory identification! NO
(PR1)  Primary purpose of data collection:  Compliance or enforcement
(PR2)  Secondary purpose  of data collection: Program evaluation
(AtJT)  Authorization for  data collection: No statutory  requirements
    Data collection requirement is    accomplished through grant
    procedures to non-federal agencies.
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base: Printouts  on
    reguestf      On-line computer
(NUS)  Number of regular  users of data base: 100 people or more
(USR)  Current regular users of data base:  EPA headquarter offices
    Office of Planning   and Evaluation/ Office of General Counsel/
    Office of Air/ Noise  and   Radiation
    EPA regional offices
    Other federal agencies
    States
    public
(CMF)  Confidentiality of data and limits on access: Limits on outside
    access for some data
(DLC)  Primary physical location of data: MCC/IBM
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: EPA software Compliance Data System ;EPA
    hardware IBM 370/168
(CHG)  Direct charge for  non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Weekly
(CMP)  Completion of form:
    Franklin C. Smith
    OFC: EPA/(OANR)/(OQQPS)/(SSCD)     AD:  401 M St., S.W. Washington/
    DC 20460
    PH: (202) 382-2833
(DF)  Date of form completion: 12-08-82
(NMAT)  Number of substances represented in data base:  19
(SJCAS)  lumber of CAS registry numbers in data base: 12
(MAT)  Substances represented in data base:
    arsenlc<7440-38-2>                   carbon monoxide<630-08-0>
    asbestos<1332-21-4>                  coke oven emissions
    beryllium<7440-41-7>                  fluorides
    cadnium<7440-43-9>                   hydrocarbons


                             60

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Accession No.  3403000901
                                                           (cent)
            total reduced sulphur
            total suspended participates
            vinyl chlorlde<75-01-4>
            visable emissions
            zinc<7440-66-6>
    lead<7439-92-l>
    mercury<7439-97-6>
    nitrogen dioxide<10102-44-0>
    odors
    ozone<10Q28-15-6>
    sulfur  dioxide<7446-09-5>
(CAS)  CAS  registry numbers of substances Included in data base:  7440-38
    -2; 1332-21-4;  7440-41-7; 7440-43-9;    630-08-0;  7439-92-1;
    7439-97-6;  10102-44-0;  10028-15-6;  7446-09-5;     75-01-4;  7440-66-6
(CNM)  Contact  name(s):  Smith/F.C.;     Fischer,G.;    Wright,H.
(KOR)  Responsible  Organization: Office of Air/  Noise and
    Radiation.Office of  Quality Planning  and Standards.Stationar
61

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                             Accession U0.   3403000902

(BQ)  Date of Questionaire:  12-02-82
(NAM)  Kame of Data Base of Models  Continuous Emission  Monitoring
    Subset
(&CR)  Acronym of Data Base or Model:  CEMS
(MED)  I>edia/Sub ject of Data Base or Model:  Excess Emissions  Stationary
    source
(ASS)  Abstract/Over view of Data Base  or Model:  The collection  of  raw
    Continuous Monitor output, through   preparation of standardized
    Excess Emissions Reports to     summarization of input acceptable
    to the Compliance Data    System (CDS)/Continuous Emission
    Monitoring (CE1*S) system.  This will make tracking  of Excess
    Emission Reports much easier.
(CTC)  CONTACTS: Subject matter Howard Wright (202)382-2833;
    Computer-related Edward Mandel  (301) 424-9133; EPA  Policy Howard
    Wright (202)382-2833
(DTP)  Type of data collection or monitoring: Point source data
    collection Stationary sources with continuous   monitors  as
    required under State Implementation Plans and for neu sources.
(STA)  Data Base status: Operational/Ongoing
(GRP)  Groups of substances represented in  Data  Base: 5 NESBAPS ;7
    criteria NAAQS }3 HID CAA
(NPP)  Non-pollutant parameters included in the  data bases Compliance
    data ^Discharge points ^Industry /Inspection data /    Location
    data ^Manufacturer /Political subdivisions ^Production levels  }
    Site description
(DS)  Time period covered by data bases 09-01-80 TO 12-31-82
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: quarterly
(NOB)  Wumber of observations in data  base:  10,000.(Actual)
(.NED  Estimated annual increase of observations in data base:  16000
    (to NF,I:)60000.
(INF)  Data base includes: Summary  aggregate observations ;Reference
    data/citations
(NTS)  Total number of stations or  sources  covered in data base:  15000
    ((less than).)
(NCS)  No. stations or sources currently originating/contributing  data:
    (greater than )1000 (- NCStless)(than )9000.
(NDF)  Number of facilities covered in data base (source monitoring):  (1
    ess than )9000.
(GEO)  Geographic coverage of data  base: National
(LQC)  Data elements identifying location of station or source  include:
    State ;County /City /Town/township ^Street address  ^Project
    identifier
(FAC)  Data elements identifying facility Include: Plant facility  name
    jPlant location >Street address ;SIC code ;    SCC ?Prograra
    identifier
(CDE)  Pollutant identification data are: Other  coding  scheme National
    Emissions Data System (NEDS)
(LIM)  Limitation/variation in data of which user should be aware:  None
(DPR)  Data collect./anal, procedures  conform to CRD guidelines:  Samplin
    g plan documented ;Collection method documented ^Analysis method
    document QA procedures documented


                             62

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                             Accession No.   3403000902     (cont)

(AND  Lab analysis based on EPA-approved or accepted methods?  YES
(PRE)  Precision:  Precision and accuracy estimates are not available.
(EOT)  Edittlng:  Edit procedures used and documented.
(CBY)  Data collected bys Self reporting
(ABY)  Data analyzed by:  Self reporting
    Regional office Compliance Division
    SPA headquarters Stationary Source Compliance Division
(IDL)  Laboratory identification;  NO
(AUT)  Authorization for  data collection; No statutory requirement;
    Data collection requirement is    through grant procedures  to
    non-federal agencies.
(OMS)  Eata collected/submitted using OMB-approved EPA reporting forms;
    QQ
(REP)  Form of available  reports and outputs of data base:  Printouts on
    request
(NUS)  Number of regular  users of data base: 100 (Less than)
(USR)  Current regular users of data base:  EPA headquarter offices
    Stationary Source Compliance Division.
    EPA regional offices^    States
(CNF)  Confidentiality of data and limits on access: No limits  on
    access to data
(DLC)  Primary physical location of data: NCC/IBM
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: EPA software Compliance Data system ;EPA
    hardware IBM 370/168
(CHG)  Direct charge for  non-EPA use: yes
(UPDT)  Frequency of data base master file  up-date: Quarterly
(CMP)  Completion of form:
    Howard Wright^     OFC: EPA/(OANR)/(OAQPS)/(SSCD)     AD: 401  M
    St., S.V. Sashlngton, D.C. 20460
    PHj (202) 382-2833
(DP)  Date of form completion: 12-31-82
(KMAT)  Number of substances represented in data base: 19
(fJCAS)  Number of CAS registry numbers in data base: 12
(MAT)  Substances represented in data base;
    arsenic<7440-38-2>                   nitrogen dioxide<10102-44-0>
    asbestos<1332-21-4>                  odors
    berillium<7440-41-7>                  ozone<10028-15-6>
    cadraium<7440-43-9>                   sulfur dioxide<7446-09-5>
    carbon raonoxide<630-08-0>            total reduced sulphur
    coke oven emissions                  total suspended particulates
    fluorides                            vinyl chloride<75-01-4>
    hydrocarbons                         visable emissions
    lead<7439-92-l>                      zinc<7440-66-6>
    raercury<7439-97-6>
(CAS)  CAS registry numbers of substances included in data base: 7440-38
    -2; 1332-21-4? 7440-41-7; 7440-43-9;   630-08-0; 7439-92-lj
    743S-97-6; 10102-44-0; 10028-15-6; 7446-09-5;    75-01-4; 7440-66-6
(CNM)  Contact naaie(s): Wright; H.; Mandel, E.; Bright, H.
(FOR)  Responsible Organization: Office of  Air, Noise and
    Radiation.Office of Quality Planning and Standards.Stationar
                             63

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                             Accession So.   3404000001

(DQ)  Date of questionaire:  12-02-82
(STATUS)  Status of entry:  Discontinued
(NAM)  Name of Data Base of Model:  Pesticide enforcement  System
(ACR)  Acronym of Data Base or Model:  PEMS
(MED)  Wedia/Subject of Data Base or Model:  pesticide products
CABS)  Abstract/Overview of Data Base  or  Model:  the Pesticide
    Enforcement Management  System is a  mechanism for storing and
    retrieving data regarding inspection   visits and pesticide
    products.  It supports  regional and   state pesticides  enforcement
    activities by maintaining a    nationwide record of pesticide
    products inspected/ record   of violations detected/  and
    enforcement actions taken.  Data     covers pesticide products  as
    defined by the Federal  Insecti-     aide. Fungicide/  and
    Rodenticide Act (FIFRA), identified by product registration  number.
    Ho chemical ingredient  data is      included.
(CTC)  CONTACTS:  Subject matter   Carol Buchingham  (202) 755-2647;
    Computer-related  Jean  M
(DTP)  Type of data collection or monitoring: Combination/Other
    enforcement information for pesticide products
(STA)  Data Base status: Operational/ongoing
(NPP)  Son-pollutant parameters included  in  the data base: Compliance
    data ;ln
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                             Accession No.   3404000001
(cont)
    Pesticides & Toxic Substances Division
(ABY)  Data analyzed by:  State agency State labs do majority of sample
    analysis
    SPA lab National Enforcement Investigations Center
(PR1)  Primary purpose of data collection: Compliance or enforcement
(PR2)  Secondary purpose of data collection:  Program evaluation
(AUT)  Authorization for data collection:  Statutory authorization is P
    L 95-396,  Section 9 (Federal Insecticide/ Fungicide, and
    Rodenticide Act-FlFRA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(RSP)  Form of available reports and outputs  of data base:  Printouts on
    request
    Machine-readable ran data
(NUS)  Number  of regular users of data base:  150
(USR)  Current regular users of data base: EPA headquarter  offices
    Pesticides and Toxic Substances Enforcement   Division
    SPA regional offices
(CNF)  Confidentiality of data and Units on access: Limits on access
    within EPA and outside agency for some  data
(DLC)  Primary physical location of data:  NCC/IBM
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software PEMS  MIDS:3404000001 >EPA
    hardware IBM 370/168
(CHG)  Direct  charge for non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Weekly
(RSS)  Related EPA automated systems which use data base: Establishment
    Registration Support System
(CMP)  Completion of form:
    Tim Shaw/John Martin
    OFC: EPA/(OE/(OGE)/(PTSED)/
    AD: VIar and Company 114 N. Columbus St.  Alexandria/ VA 22314
    PH: (703)  683-0885
(DF)  Date of  form completion; 01-11-83
(CNM)  Contact name(s): Buchingham/C,  >    Malachowski/J.  ;
    Martin/J.
(ROR)  Responsible Organization: Office of Pesticides and Toxic
    Substances.Off ice of Pesticides and foxic Substances E
                             65

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                             Accession No.   3404000002

(DQ)  Date of Questionaire:  12-02-82
(STATUS)  Status of entry:  Discontinued
(NAM)  flame of Data Base of Model:  Establishment  Registration  Support
    System
(ACR)  Acronym of Data Base or Model:  ERSS
(MED)  Pedia/Subject of Data Base or  Model:  pesticide production  data
(ABS)  Abstract/overview of Data Base or Model: A centralized  data  base
    is used to support inspection  planning  and case  preparation  for
    pesticide enforcers by     maintaining a  nationwide  file  identifying
    all pesticide     producing establishments and their  types and
    amounts of     annual production.   Data  covers pesticide products
    as defined    by the Federal Insecticide/  Fungicide/  and
    Rodenticide Act  (FIFRA), Identified by  product registration
    numbers.  Mo    chemical ingredient data is included.
(CTC)  CONTACTS: Subject matter   Carol Buckingham  (202)  755-2647;
    Computer-related  Jean  M
(DTP)  Type of data collection or monitoring:  Conbination/Other
    production information  for pesticide products.
(STA)  Data Base status: Operational/ongoing
(NPP)  Non-pollutant parameters included in  the data  base: Compliance
    data ^Industry ^Location production levels
(OS)  Time period covered by data base: 01-01-75  TO 09-30-80
(TRM)  Termination of data  collection: Not anticipated
(FRQ)  Frequency of data collection or sampling:  annually
(MOB)  Number of observations in data base:  120000.(Estimated)
(NED  Estimated annual increase of observations  in data  base:  20000.
(INF)  Data base includes:  production volumes reported  by producing
    establishments.
(NTS)  Total number of stations or sources covered in data base:  8000*
(NCS)  Fo. stations or sources currently originating/contributing data:
    800C.
(NOF)  Number of facilities covered in data  base  (source  monitoring): 80
    00.
(GFO)  Geographic coverage  of data base: International/ include foreign
    product imports to U.S.
(LOG)  Data elements identifying location of station  or source include:
    State ;County /City ;Street address ;EPA Establishment Number
(FAC)  Data elements identifying facility include: Plant  facility name
    ;PJant location ;Parent corp name ;Parent corp location  ;     Street
    address ;EPA Establishment Number
(CDE)  Pollutant identification data  are: Other coding  scheme  pesticide
    registration number
(DPR)  Data collect./anal,  procedures conform to  CRD  guidelines:  Sanplin
  .  g plan documented ^Collection method documented
(AUD)  Lab Audit: Data not  based on lab analysis.
(PRE)  Precision: Precision and accuracy estimates are  not available
(EOT)  Editting: No known edit procedures exist.
(CBY)  Data collected by: Self reporting
(ABY)  Data analyzed by: data riot analyzed
(Pfil)  primary purpose of data collection: Compliance or  enforcement
(PP.2)  Secondary purpose of data collection: Program  evaluation
(AUT)  Authorization for data collection: Statutory authorization is P


                             66

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                             Accession No.   3404000002      (cont)

    L 95-396,  Section 7 (Federal Insecticide,  Fungicide and Rodenticide
    Act-FIFRA)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    158-R-01Q9
(REP)  Form of available reports and outputs of data base:  Printouts on
    request
    Machine-readable raw data
(NUS)  dumber  of regular users of data base: 300
(USR)  Current regular users of data base:  EPA headquarter  offices
    Pesticides and Toxic Substances Enforcement   Div./ QPP, SPRD,
    BFSD.
    EPA regional offices
    Other federal agencies, NIH/ U.S. Congress
(CNF)  Confidentiality of data and limits on access: Limits on access
    within EPA and outside agency for some   data
(DLC)  Primary physical location of data: NCC/IBM
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: EPA software ERSS  MIDS:3404000002 ;EPA
    hardware IBM 370/168
(CHG)  Direct  charge for non-EPA use: yes
(UFDT)  Frequency of data base master file  up-date: Weekly
(RSS)  Related EPA automated systems which  use data base:  Pesticides
    Enforcement Management System.
(CMP)  Completion of form:
    Tim Shaw/John Martin
    OFC: EPA/(OE)/(OGE)/(PTSED)/
    AD: Viar and Company 114 N. Columbus St. Alexandria, VA 22314
    Pfl: (703)  683-0885
(DF)  Date of  form completion: 01-11-83
(CNM)  Contact name(s): Buckingham,C.  ;    Malacfcowskl/J.  }
    Martin/J.
(RQR)  Responsible Organization: Office of  Pesticides and  Toxic
    Substances.Office of Pesticides and Toxic Substances E
                             67

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                             Accession No.   3404000003

(DQ)  Date of Questionaire:  12-02-82
(NAK)  Name of Data Base of  Model:  FIFRA and TSCA Enforcement  System

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                             Accession No.   3404000003     (cont)

(AOT)  Authorization for data collection:  Statutory authorization  is
    FIFFA (PL 95-396) TSCA (PL 94-469)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    158-R-0109
(REP)  For HI of available reports and outputs of data base:  Printouts on
    request
    Machine-readable raw data
(NUS)  Number of regular users of data base: 150
(USR)  Current regular users of data base:  EPA headquarter  offices:
    various
    EPA regional offices
    Other federal agencies
    States
    Other-Freedom of Information Request
(CNF)  Confidentiality of data and limits  on access: Limits on access
    within EPA and outside agency for some   data.
(OLC)  Primary physical location of data: ICC/IBM
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software:  FATES ;EPA hardware NCC/IBM
(CHG)  Direct charge for non-EPA use: Yes
(UPDT)  Frequency of data base master file  up-date: Meekly
(CMP)  Completion of form?
    Carol L. Buckingham
    OFC: FPA/PTSGD/OPTS (EN-342)# AD: 401  M St. S.W., Washington,  D.C.
    20460
    PH: (202) 382-5569
(DF)  Date of form completion: 01-07-83
(CNM)  Contact name(s): Buckingham/^  }    Malachowski/J.  ;
    Martin,J.
(ROR)  Responsible Organization: Office of  Pesticides and Toxic
    Substances.Office of Pesticides and Toxic Substances  E
                             69

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                             Accession No.   4205000901

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Fame of Data Base of  Model; Mining and Willing of Non  Uranium
    Ores
(ACR)  Acronym of Data Base  or Model:  StDHS
(MED)  l^edia/Subject of Data Base or Model: Air ;Effluents  mine
    drainage ;Emissicns  crusher and dryer  exhausts ;  Other  ore  ;0ther
    final product of mining/ milling/  smelting
(A8S)  Abstract/Overview of  Data Base  or Model: The data base contains
    radiological     assessments of mining  and benef iciation  of zinc,
    copper/ iron/ bauxite/  limestone/  clay/ titanium, zirconium and
    phosphate  ores.  Samples of exhaust stack emissions (using  EPA
    reference methods) from  high temperature processes  are   emphasized.
    Effluent (water) and air concentrations   of radon  are  collected at
    both open pit and  underground nines.  Locations included are in
    Michigan/ Pennsylvania,  New Mexico, Tennessee/  Hen      Jersey,  West
    Virginia/ Missouri, Arkansas, Texas, Arizona, Montana,  Utah and
    Illinois.
(CTC)  CONTACTS: Subject matter Michael O'Connell (702)798-2449j
    Computer-related Paul Hahn (702)798-2443; EPA Office Office  of
    Radiation Programs-Las Vegas Facility
(DTP)  Type of data collection or monitoring: Point source  data
    collection stacks/ effluent streams, and ponds
(STA)  Data Base status: Operational/ongoing
(NPP)  Son-pollutant parameters included in the data base:  Collection
    method ;0ischarge points ; Elevation ;Flow rates flndustry ;
    Location population demographics  ^Sampling date ;Temperature ;
    Volume/mass measures ;Wind direction ;Wind velocity
(OS)  Time period covered by data base: 08-01-78 TO 09-30-80
(TRM)  Termination of data  collection: Occurred 09/30/80
(FRQ)  Frequency of data collection or sampling: one time only
(NOB)  Number of observations in data  base: 1500. (Estimated)
(NET)  Estimated annual Increase of observations in data base: 0.
(INF)  Data base includes:  Raw data/observations
(NTS)  Total number of stations or sources  covered  in data  base:  19.
(HCS)  No. stations or sources currently originating/contributing data:
(NOF)  lumber of facilities covered in data base (source monitoring):  (N
    /A.)
(GSO)  Geographic coverage of data base:  National
(LOG)  Data elements identifying location of station or source  include:
    State ;County ;City ;Pro3ect identifier
(FAC)  Data elements identifying facility include:  Plant facility name
    ;Plant location /Parent corp name ^Parent corp  location
(CDE)  Pollutant identification data are: Oncoded
(LIM)  Limitation/ variation in data of which user should be aware:  None
(DPR)  Data collect. /anal, procedures conform to CRt guidelines:  Samplin
    g plan documented Collection method documented ^Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods?  YES
UUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates  exist for all
    measurements


                             70

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                             Accession Ho.   4205000901      (cont)

(EOT)  Editting:  Edit procedures used and documented.
(CBY)  Data collected by;  EPA lab Office of  Radiation  Programs-Las
    Vegas Lab ^Contractor  lab PSDco Environ  Midwest  Research
    Incorporated, Engineering Science^ TRW*  Inc.  Seston
(A8Y)  Data analyzed bys EPA lab Office of Radiation Programs-Las  Vegas
    Lab
    Contractor lab Eberline Instrument Corporation
    EPA headquarters Office of Kadiation Programs
CIOL)  Laboratory identifications YES
(PR1)  Primary purpose of  data collection; Development  of regulations
    or standards
(PK2)  Secondary  purpose  of data collection; Technology development
(AUT)  Authorization for  data collection; Statutory  authorization  is P
    L 82-206 as amended.  Section 122 (Clean  Air   Act-CAA)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base:  Machine-reada
    ble raw data
(NUS)  lumber of  regular  users of data base; 4 not-more after  report is
    published
(USR)  Current regular users of data base: SPA headquarter  offices
    Office of Radiation Programs
(CNF)  Confidentiality of  data and limits on access: Limits on access
    si thin EPA and outside agency for some   data
(DLC)  Primary physical location of data: Other federal agency
    ;Department of Energy
(DST)  Form of data storage: Magnetic tape ^Magnetic disc
(BAG)  Type of data access: EPA software Sample Tracking and Data
    Management System  HlDSj62Q4000118 ;  EPA hardware  CDC-6400
(CHG)  Direct charge for  non-SPA use: no outside use/access permitted
(UPDT)  Frequency of data  base master file up-date:  Weekly
(CMP)  Completion of form:
    Michael f. Q'Connell
    QFC: FPA/(OANR)/(ORP)/(QRP-LVF)
    AD: Las Vegas 8V 89114
    PH: (702)798-2449
(DF)  Date of form completion: 01-18-83
(NMAT)  Number of substances represented in  data base:  10
(MCAS)  Number of CAS registry numbers in data base: 6
(MAT)  Substances represented in data base:
    uranium 238<7440-61-1>               thorium 228
    lead 210                             thorium 230<14269-63-7>
    polonium 210                          thorium 232 <7440-29-l>
    radium 226<13982-63-3>               uranium 234<13966-29-5>
    radon radon
(CAS)  CAS registry numbers of substances Included in  data  base: 7440-61
    -1; 13982-63-3; 10043-92-2;       14269-63-7; 7440-29-1; 13966-29-5
(CNM)  Contact narae(s): 0*Connell,M.; Hahn^P.
(COR)  Contact organization: Office of Radiation Programs-Las  Vegas
    Facility
(HOR)  Responsible Organization: Office of Air/ Noise  and
    Radiation.Office of Radiation Programs.Office of Radiation P


                             71

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Accession No.  4205000901     (cont)
72

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                             Accession No.   4205000902

(DQ)  Date of Questionaire;  12-02-82
(NAM)  Name of Data Base of  Model:  Departments  of Energy  and  Defense
    Facilities
(ACR)  Acronym of Data Base  or  Kodel:  STDMS
(MED)  Media/Subject of Data Base or Model:  Air ;Ground water ;Soil
    ;Surface water Lakes ;0ther vegetation
(ABS)  Abstract/Overview of  Data Base  or Model: This data base contains
    tritium and     plutonium data from surveys performed by  EPA  and/or
    state personnel at the Rocky Flats Defense  Facility     in Colorado,
    the Trinity Weapons Testing Site in  Hew Mexico* and  the  Kerr-HcGee
    Fuel Fabrication   Facility in Oklahoma.  Other  fission products
    were     also looked for at the Rocky Flat  Facility  (cesium-137).
(CTC)  CONTACTS: Subject matter Wayne  Bliss  (702)798-2474;
    Computer-related Paul Hahn  (702)798-2443; EPA Office, Office  of
    Radiation Programs (702)798-2476
(DTP)  Type of data collection  or monitoring: Ambient data collection
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in Data Base: 18  radioactive
(NPP)  non-pollutant parameters included in  the data base: Location
    ;Site description /Volume/mass measures
(DS)  Time period covered by data base: 01-01-73 TO  12-30-77
(TRM)  Termination of data collection: Occurred 12/30/77
(FRQ)  Frequency of data collection or sampling: one time only
(NOB)  Number of observations in data  base:  500.(Estimated)
(INF)  Data base includes: Raw  data/observations
(NTS)  Total number of stations or sources covered in data base:  3.
(NCS)  No. stations or sources  currently originating/contributing data:
    (N/A.)
(NOF)  Number of facilities  covered in data  base (source  monitoring):  (N
    /A.)
(GEO)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or  source include:
    State ;County ;City ;Project identifier
(FAC)  Data elements identifying facility include: Plant  facility name
    jPlant location ;Parent  corp name
(CDE)  Pollutant identification data are: Oncoded
(LIM)  Limitation/variation  in  data of which user should  be aware: None
(DPR)  Data collect./anal, procedures  conform to GRD guidelines:  Samplln
    g plan documented /Collection method documented  ;Analysis method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods? NO
(AOD)  Lab Audit: Lab audit  is  satisfactory.
(PRF)  Precision: Precision  and accuracy estimates exist  but  are  not
    included in data base
(EDT)  Editting: Edit procedures used  and documented.
(CBY)  Data collected by: Local agency associated local  agencies  in
    Colorado and New  Mexico ;    State agency state  radiological
    agencies (Colorado and New   Mexico) ; Regional office Region  8 ;EPA
    lab Office of Radiation  Programs-Las Vegas  ; Other federal agency
    Department of Energy/Energy Research and Development
    Administration,/ and Depa
(ABY)  Data analyzed by: Local  agency  local  municipalities
        Preceding page blank
73

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                             Accession No.   4205000902      (cont)

    State agency Colorado and New Mexico:  state radiological    agencies
    Regional office Region 8
    EPA lab Office of Radiation Programs-Las Vegas Facility
    EPA headquarters Office of Radiation Programs
MDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Trend assessment
(AUT)  Authorization for data collection:  No statutory  requirement;
    Data collection requirement is    EPA  Reorganization Plan No.3 and
    guidance originating from Federal   Radiation Council
(OMB)  Data collected/submitted using QMS-approved EPA  reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    Comparison of Soil Sampling Techniques at Rocky     Flats; Office
    of Radiation Programs-Las Vegas 78-3 Plutonium around   Trinity
    Site
    Unpublished reports memoranda
(NUS)  Number of regular users of data base: 1
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Radiation Programs
(CNF)  Confidentiality of data and limits  on access: Limits on access
    within EPA and outside agency for some  data
(DLC)  Primary physical location of data:  Other federal agency
    Department of Energy
(DST)  Form of data storage: Magnetic tape ;Magnetic disc
(DAC)  Type of data access: EPA software Sample Tracking and Data
    Management System  MIDS:6204000118 ;  EPA hardware  CDC-6400
(CHG)  Direct charge for non-EPA use: no outside use/access permitted
(UPDT)  Frequency of data base master file up-date: Weekly
(CMP)  Completion of form:
    Michael F. O'Connell
    OFC: EPA/(OANR)/(QRP)/              plutoniun 239<15117-48-3>
    Plutonium 238<13981-l6-3>           tritium<10028-17-8>
(CAS)  CAS registry numbers of substances  included In data  base: 10045-9
    7-3; 13981-16-3; 15117-48-3;      10028-17-8
(CNM)  Contact name(s): Bliss/W.; Hahn,P.
(COR)  Contact organization: Office of Radiation Programs
(ROR)  Responsible Organization: Office of Air, Noise and
    Radiation.Office of Radiation Programs.Office of Radiation P
                             74

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                             Accession No.   4205000905

(DQ)  Date of Questionaire:  12-02-82
(NAN)  Name of Data Base of  Model:  Technical  Support to  State
    Regulatory Agencies
(ACR)  Acronym of Data Base  or Model:  STDMS
(MED)  Media/Subject of Data Base or Model: Air ?Ground  water  >Sediraent
    ;Soil ^Surface water Lakes, rivers ;   Other vegetation
(ABS)  Abstract/Overview of  Data Base  or  Model: The data base  consists
    of radiochemical analyses on air*  water,  and soil samples  collected
    by either state or SPA-Office of Radiation Programs     personnel
    for the expressed purpose of identifying      radionuclide  levels  In
    media as a result from     ongoing state  investigation  programs or
    Incidents involving the  accidental release of material.      This
    data base contains data  from events such  as  the Mount  St.  Helens
    volcanic eruption (4/80),    tritium  releases from Atomics
    International in    Tuscon/ Arizona (1979), the United  Nuclear mill
    tailing dam break at Churchrock, New  Mexico (7/79)      and the
    transportation incidents at Beatty, New   Mexico. Every task
    contained in this data base   has  memoranda or telecommunication
    records to     document  Office of  Radiation Programs involvement
    with agencies outside EPA.
(CTC)  CONTACTS: Subject matter Wayne  Bliss (702)798-2476;
    Computer-related Paul Hahn (702)798-2443; EPA Office, Office of
    Radiation Programs-Las Vegas Facility
(DTP)  Type of data collection or monitoring: Ambient data  collection
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in Data Base: 13 radioactive
(NPP)  Ron-pollutant parameters included  in the data base:  Location
    ;Sampling date ;Site description ;Volume/mass measures
(DS)  Time period covered by data base: 01-01-72 TO Present
(TRM)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: one tine only ;0ther
    at s few locations samples are recollected at a later date
(NOB)  lumber of observations in data  base: 2000.(Estimated)
(NEZ)  Estimated annual Increase of observations in data base:  200.
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources covered in data  base: 250.
(NCS)  No. stations or sources currently  originating/contributing data:
    (N/l.)
(NOF)  Number of facilities  covered in data base (source monitoring): (N
    /A.)
(GEO)  Geographic coverage of data base:  National
(LOG)  Data elements identifying location of  station or  source include:
    State ;County ;City ;Project identifier
(FAC)  Data elements identifying facility include: Plant facility name
    ;Plant location
(CDS)  pollutant identification data are: Oncoded
(LIM)  Limitation/variation  in data of which  user should be aware: The
    data base is a compilation of nany  specific projects each of which
    has an event code assigned to it.   The event code is mandatory.
(DPR)  Data collect./anal, procedures  conform to ORD guidelines: Samplin
    g plan documented Collection method  documented ^Analysis  method
    document QA procedures documented


                             75

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                             Accession No.   4205000905     (cont)

(AND  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit; Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist for all
    measurements.
(EOT)  Editting; Edit procedures used and documented.
(C8Y)  Data collected by: Local agency various agencies /State agency
    various states /Regional office vari
(ABY)  Data analyzed by:  State agency various states
    Regional office various regional offices
    SPA lab Office of Radiation Programs-Las Vegas Lab
    Contractor lab Eberline Lab> LFE Inc.
(IDL)  Laboratory identification: YES
(PRl)  Primary purpose of data collection:  Risk assessment
(PR2)  Secondary purpose of data collection: Special study
(AUT)  Authorization for data collection: Statutory authorization  is
    Executive Reorganization Plan No. 3, 12/1970;     former
    responsibilities of Federal Radiation Council
(OMB)  Data collected/submitted using OUB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Publications
    Office of Radiation Programs Technical  Note
    Unpublished reports memoranda
(NUS)  Number of regular users of data base: 100
(USR)  Current regular users of data base:  EPA regional offices
    States
    Navajo Nation
(CNF)  Confidentiality of data and limits on access: Limits on access
    within EPA and outside agency for some   data.
(DLC)  Primary physical location of data: Other Federal Agency:
    Department of Energy
(DST)  Form of data storage: Magnetic tape  ^Magnetic disc
(DAC)  type of data access: EPA software Sample Tracking and Data
    Management System  MIDS:6204000118 ;  SPA hardware CDC-6400
(CHG)  Eirect charge for non-EPA use: no outside use/access permitted
(UPDT)  Frequency of data base master file  up-date: Keekly
(CMP)  Completion of form:
    Michael F. OTonnell
    OFC: EPA/(OANR)/(QRP)/(ORP-LVF)
    AD: Las Vegas, NV 89114
    PH! (702)798-2449
(DF)  Date of form completion: 01-18-83
(NHAT)  Number of substances represented in data base: 8
(NCAS)  Number of CAS registry numbers in data base: 4
(MAT)  Substances represented in data base:
    radium 226<13982-63-3>               polonium  210
    tritium<10028-17-8>                  radon<10043-92-2>
    uranium 238<7440-61-1>               thorium 230
    leac 210                             thorium 232
(CAS)  CAS registry numbers of substances included in data base: 13982-6
    3-3; 10028-17-8; 7440-61-1;       10043-92-2
(CNM)  Contact name(s): Bliss/H.; Hahn,P.
(COR)  Contact organization: Office of Radiation Programs-Las Vegas


                             76

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                             Accession No.  4205000905     (cont)

    Facility
(ROR)  Responsible Organization: Office of Air/ Noise and
    Radiation.Office of Radiation Programs.Office of Radiation P
                             77

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                             Accession No,   4205000906

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model;  Field Studies  at  Low-Level
    Radioactive Waste Burial Sites
(ACR)  Acronym of Data Base  or Model:  STDMS
(MED)  Media/Subject of Data Base or Model; Air ^Emissions   gas  fluxs
    through soils ;Soil ;0ther soil moisture °f    Other  vegetation
    transpiration
hind direction ;
    Mind velocity
(DS)  Time period covered by data base; 06-01-79  to  Present
(TRM)  Termination of data collection; Hot known
(FRQ)  Frequency of data collection or sampling;  one tine only
(NOB)  Number of observations In data  base: 200.(Estimated)
(NEI)  Estimated annual increase of observations  in  data  base; 20.
(INF)  Data base Includes; Rau data/observations
(NTS)  total number of stations or  sources covered In data  base: 4,
(NCS)  No« stations or sources currently originating/contributing data;
    2.
(UOF)  number of facilities  covered in data base  (source  monitoring): 1.
(GEQ)  Geographic coverage of data  base: Single state Nevada
(LOC)  Data elements identifying location of station or source include:
    State ^County >City ^Project identifier
(FAC)  Data elements identifying facility include: Plant  facility name
    /Parent corp name
(CDE)  Pollutant identification data are: Uncoded
(LIM)  Limitation/variation in data of Hhich user should  be attare:  Sampl
    ing procedures are experimental.
(DPR)  Data collect,/anal, procedures  conform to  ORD guidelines: Samplin
    g plan documented ;Analysis method documented jQA procedures
    documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(PRE)  Precision: Precision and accuracy estimates exist  for all
    measurements.
(EOT)  Editting: Edit procedures used  but undocumented.
(CBY)  Data collected by: EPA lab Office of Radiation on  Programs-Las
    Vegas Lab
(ABY)  Data analyzed by: EPA lab Office of Radiation Programs-Las Vegas
    Lab
(IDL)  Laboratory identification: YES
(PR1),  Primary purpose of data collection; Development  of regulations


                             78

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                             Accession No.   4205000906     (cont)

    or standards
(PR2)  Secondary purpose ot data collection:  Special study
(AUT)  Authorization for data collection:  Statutory authorization  is  P
    L 86-206 as amended, Section 122 (Clean Air    Act-CAA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs  of data base: Unpublished
    reports memoranda
(NUS)  Kumber of regular users of data base:  1 person
(USR)  Current regular users of data base:  EPA headquarter offices
    Office of Radiation Programs
(CNF)  Confidentiality of data and Units on access: Limits on access
    within EPA and outside agency for some  data
(DLC)  Primary physical location of data:  Other Federal Agency:
    Department of Energy
(DST)  Form of data storage: Magnetic tape ;Magnetic disc
(DAC)  Type of data access: EPA software Sample Tracking and Data
    Management System  HIDS:6204000118 ;  EPA hardware CDC-6400
(CHG)  Direct charge for non-EPA use: no outside use/access permitted
(UPDT)  Frequency of data base vaster file up-date: Weekly
(CMP)  Completion of form:
    Michael F. O'Connell
    OFC: EPA/(OANR)/(ORP)/(ORP-LVF)
    AD: Las Vegas NV 89114
    PP.: (702) 798-2449
(DF)  Date of form completion: 01-18-83
(NMAT)  Number of substances represented in data base: 5
(HCAS)  Number of CAS registry numbers in data base: 4
(MAT)  Substances represented In data base:
    carbon 14<14762-75-5>                methane
    krypton 85<13983-27-2>               radon<10043-92-2>
    tritium<10028-17-8>
(CAS)  CAS registry numbers of substances included in data base: 14762-7
    5-5; 13983-27-2; 10028-17-8;      10043-92-2
(CUM)  Contact name(s): O'Connell/M.F. ;    Hahn/P.
(COR)  Contact organization: Office of Radiation Programs-Las Vegas
    Facility
(ROR)  Responsible Organization: Office of Air, Noise and
    Radiation.Office of Radiation Programs.Office of Radiation P
                             79

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                             Accession No.   4205000907

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Mining  and Milling of  Uranium
    Ores-National Pollutant   Discharge Elimination  Sys
(ACR)  Acronym of Data Base  or Model:  STDMS
(MED)  Media/Subject of Data Base or Model:  Air  jEf fluents  National
    pollutant Discharge Elimination System discharge    points
    ; Emissions  dryer exhaust stacks /Sediment jSoil
(ABS)  Abstract/Overview of  Data Base  or Model:  This data base  contains
    data on radionuclide concentrations on and in the surrounding
    environment at all abandoned uranium mill tailing piles in  the
    states of Utah/ Oregon/  Neu Mexico/ Colorado/ and Arizona*  Data  is
    also    available on six active mine and millsites  in Neu Mexico.
    Stack emission data (using EPA methods)  is available  for the
    active operations*
(CTC)  CONTACTS:  Subject matter Joseph Hans  (702)798-2461;
    Computer-related Paul Hahn (702)798-2443; EPA Office, Office of
    Radiation Programs-Las Vegas Facility
(DTP)  Type of data collection or monitoring: Point source  data
    collection stacks/ uater discharge points/ mine vents/  tailings
    piles/ and soil.
(STA)  Data Base  status: Update terminated (Could be reactivated)
(NPP)  Non-pollutant parameters included in  the data base:  Location
    ; Sampling date ;Site description j Volume/mass measures
(DS)  Time period covered by data base: 01-01-72 TO 09*30-81
(TRM)  Termination of data collection: 09-30-81
(FRQ)  Freguency  of data collection or sampling: one tine only
(NOB)  Number of  observations in data  base:  4000. (Estimated)
(NED  Estimated  annual increase of observations in data  base:  0
(INF)  Data base  includes: Raw data/observations
(NTS)  Total number of stations or sources covered  in data  base: 30
    (Estimated)
(NCS)  No. stations or sources currently originating/contributing  data:
(NQF)  lumber of facilities covered in data base (source monitoring):  (N
    /A.)
(GEO)  Geographic coverage of data base:  National
(LOG)  Data elements identifying location of station or source  include:
    State ;County ;City ^Project identifier
(FAC)  Data elements identifying facility Include:  Plant facility name
    ;Plant location
(CDE)  Pollutant identification data are: Oncoded
(LIK)  Limitation/variation in data of which user should be aware:  Parti
    cle sizing and emission test data are   not on the computer at this
    time.
(DPR)  Data collect. /anal, procedures conform to GRD guidelines:  Samplin
    g plan documented ^Collection method documented ^Analysis method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods?  YES
(AUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist for all
    measurements
(EOT)  Fdltting: Edit procedures used but undocumented.


                             80

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                             Accession No.   4205000907     (cont)

(CBY)  Data collected by:  Local agency various municipalities ;State
    agency various states* agencies ;      Regional office various
    regional offices ;EPA  lab Office of Radiation Programs-Las Vegas
    Facility ; EPA headquarters Office of Radiation Programs
(A8¥)  Data analyzed by: Local agency  Various municipalities
    State agency Various states* agencies
    Regional office Various regional offices
    EPA lab Office of Radiation Programs-Las Vegas Facility
    Contractor lab Eberline Lab,, or LFE* Inc.
    SPA headquarters Office of Radiation Programs
(IDL)  Laboratory identification: YES
(PR2)  Secondary purpose  of data collection! Special study
(AUT)  Authorization for  data collection: Statutory authorization  is  P
    L 8S-206/ as amended  (Clean Air Act-CAA)  No statutory requirement:
    Data collection requirement is  Uranium Mill Tailing Control  Act
(OMB)  Data collected/submitted using  QMS-approved EPA reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base: Publications
    Office of Radiation Programs Technical  Notes
(NUS)  Number of regular users of data base: 6
(USR)  Current regular users of data base:  EPA headquarter offices
    Office of Radiation Programs
    EPA laboratories
(CMF)  Confidentiality of  data and limits on access: Limits on access
    within EPA and outside agency for  some   data
(DLC)  Primary physical location of data: Other Federal Agency:
    Department of Energy
(DST)  Form of data storage: Magnetic  tape  ^Magnetic disc
(DAC)  Type of data access: EPA software Sample Tracking and Data
    Management System  MlDs:6204000118 ?  EPA hardware CDC-6400
(CHG)  Direct charge for  non-EPA use:  no outside use/access permitted
(UPDT)  Frequency of data  base master  file  up-date: Meekly
(CMP)  Completion of form:
    Michael F. O'Connell
    OFC: EPA/(OANR)/(QRP)/(ORP-LVF)
    AD: Las Vegas/ HV 89114
    PHI (702) 798-2476
(DF)  Date of form completion: 01-18-83
(NMAT)  Number of substances represented in data base: 4
(NCAS)  Number of CAS registry numbers in data base: 2
(MAT)  Substances represented in data  base:
    radium                               trace metals
    radon<10043-92-2>                    uraniun<"J440-61-l>
(CAS)  CAS registry numbers of substances included in data base: 10043-9
    2-2; 7440-61-1
(CUM)  contact name(s): Hans,J»; HahivP.
(COR)  Contact organization: Office of Radiation Programs-Las Vegas
    Facility
(ROR)  Responsible Organization: Office of  Air, Noise and
    Radiation.Office of Radiation Prog rams.Office of Radiation P
                             81

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                             Accession No.   4205000909

Street address
(FAC)  Data elements identifying facility include: Plant facility name
    ^Program identifier
(CDE)  Pollutant identification data are: Uncoded
(LIM)  Limitation/variation in data of which user should be  aware: Obser
    vations are generally continuous at     any single  site.  Sites are
    generally locations of     known or suspected radon levels.
(DPR)  Data collect./anal, procedures  conform to QRD guidelines:  Collect
    ion method documented ^Analysis method documented ;QA procedures
    document
(ANL)  Lab analysis based on EPA-approved or accepted methods?  NO
(PRE)  Precision: Precision and accuracy estimates exist but are  not
    included in data base
(EDT)  Fditting:  So known edit procedures exist.
(CBY)  Data collected by: Local agency several local agencies  ;State
    agency Montana/ Utah/ South Dakota/ N EPA lab Office of  Radiation
    Programs-Las Vegas jOther federal  agency Nuclear Regulatory
    Commission
(ABY)  Data analyzed by: EPA lab Office of Radiation Programs-Las Vegas
(IDL)  Laboratory Identification: NO
(PR1)  Primary purpose of data collection: Development  of regulations


                             82

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                             Accession No.   4205000909      (cent)

    or standards
(AUT)  Authorization for data collection:  No statutory  requirement:
    Data collection requirement is    to improve body of knowledge in
    subject area.
(OMB)  Data collected/submitted using OMB-approved  EPA  reporting  forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Printouts  on
    request
(NUS)  Number of regular users of data base: 8
(USR)  Current regular  users of data base:  EPA headquarter  offices
    Office of Radiation Programs
    SPA regional offices
    EPA laboratories
    Otber federal  agencies
    States
(CNF)  Confidentiality  of data and limits on access: Limits on outside
    access for some data
(DLC)  Primary physical location of data:  EPA lab
(DST)  Form of data storage: Original form (hardcopy, readings)
    ?computer cards
(DAC)  Type of data access: Manually ;user can write own program, data
    on cards also
(CHG)  Direct charge for non-EPA use: no outside use/access permitted
(UPDT)  Frequency  of data base master file up-date: Meekly
(CMP)  Completion  of form:
    Philip C. Nyberg
    OFC: EPA/(OANR)/(ORP-LVF)
    AD: Box 18416, Las  Vegas NV 89114
    PH: (702) 798-2476
(DF)  Date of form completion: 01-18-83
(NMAT)  Number of  substances represented in data base:  4
(MAT)  Substances  represented in data base:
    bismuth 214                          polonium 214
    lead 214                             polonium 218
(CMM)  Contact name(s): Boyd, E.; Hopper, R-; Hahn, P.
(RQR)  Responsible Organization: Office of Air, Noise and
    Radiation.Office of Radiation Programs.Office of Radiation P
                             83

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                             Accession  No.   4205000910

(DQ)  Date of Questionaire:  12-02-82
(SAM)  Name of Data Base of  Model:  Sample Tracking and  Data  Management
    System —Indoor Radon
(ACR)  Acronym of Data Base  or Model: N
(MED)  Media/Subject of Data Base or Model:  Air fDrinking  Hater  ;Soil
    >0ther not related to specific  media: multimedia samp radon
(ABS)  Abstract/Overview of  Data Base or Model: This data  base consists
    of the indoor radon/radon progeny data stored in the Sample
    Tracking and Data    Management System.   Data includes track etch
    and other radon     monitoring  results.
(CTC)  CONTACTS: Subject matter  John  Moore  (702) 798-2452 ;
    Computer-related  John Moore
(DTP)  Type of data collection or monitoring:  CoBbination/Other  ambient
    (air) and non-point source (soil and houses)
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances  represented in Data Base: 18 radioactive
(BTPP)  Kon-pollutant parameters included in  the data base: Elevation
    ;Location ^sampling date ;Site  description ;Temperature  }
    Volume/mass measures
(DS)  Time period covered by data base: 08-01-80 TO 09-30-81
(TRM)  Termination of data collection:  Not anticipated
(FRQ)  Frequency of data collection or  sampling: one time  only ;less
    than hourly ;daily ;weekly ;monthly quarterly ;   semi  annually
    ;annually
(NOB)  Number of observations in data base:  2000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: 2000.
(IMF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or  sources covered in data base:  250.
(NCS)  No, stations or sources currently originating/contributing data:
    250.
(?JQF)  Mumber of facilities  covered in  data  base (source monitoring):  (N
    /A.)
(GEO)  Geographic coverage of data  base: National
(LOG)  Data elements identifying location of station or source include:
    State ^County ;City ;Project identifier
(FAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant identification data are: Uncoded
(LIM)  Limitation/variation  in data of  which user should be  aware:  Data
    base primarily started for track etch   results and will Include
    ancillary data.  Time period  based on individual project
    objective.  Quality   Assurance documentation being developed.
(ANL)  Lab analysis based on EPA-approved or accepted methods? NO
(PRE)  Precision: Precision  and accuracy estimates 20 counting error
    term included.
(EDT)  Editting: Edit procedures used but undocumented.
(CBY)  Data collected by: Local agency  numerous municipalities ;State
    agency South Dakota, Utah, Montana,  Texas jEPA lab Office of
    Radiation Programs-Las Vegas
(ABY)  Data analyzed by: EPA lab Office of Radiation Programs-Las Vegas
    Contractor Terradex, Inc.
(IOL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection: Development  of  regulations


                             84

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                             Accession No.   4205000910      (cent)

    or standards
(PR2)  Secondary purpose of data collection:  Special study
(AUT)  Authorization for data collection:  No statutory  requirement:
    Data collection requirement is    to improve basic  knowledge of
    this area.
(OMB)  Data collected/submitted using QMS-approved EPA  reporting forms:
    QQ
(REP)  Form of  available reports and outputs of data base:  Printouts on
    request; also machine readable raw data/  and on-line computer
    terminal.
(NUS)  Number  of regular users of data base: 30 or more
(OSR)  Current  regular users of data base:  EPA headquarter  offices
    Office of  Radiation Programs
    States
    contractors of Office of Radiation Programs
(CMF)  Confidentiality of data and limits on access: Limits on outside
    access for  some data
(CLC)  Primary  physical location of data:  EPA lab/ Environmental
    Monitoring  Systems Lab,  Las Vegas,, NY
(DST)  Form of  data storage: Magnetic disc and magnetic tape
(DAC)  Type of  data access: EPA software Sample Tracking and Data
    Management System  MIDS:6204000118 }  EPA hardware  CDC-6400
(CHG)  Direct  charge for non-EPA use: No outside use/access permitted
(UPDT)  Frequency of data base master file up-date: Meekly   Other
    related EPA data bases: INFORM System
(CMP)  Completion oi form:
    David E. Bernhardt
    OFC: EPA/(OANR)/(ORP-LVF)
    AD; Box 18416, Las Vegas NV 89114
    PH: (702)  798-2469
(DF)  Date of  form completion: 01-18-83
(NMAT)  Number  of substances represented in data base:  3
(NCAS)  Number  of CAS registry numbers in data base: 1
(MAT)  Substances represented in data base:
    radium 226<13982-63-3>               radon 222
    radon 220
(CAS)  CAS registry numbers of substances included in data  base: 13982-6
    3-3
(CNM)  Contact  name(s): Moore/J.  ;    Moore,J.  ;    Hendricks/D.
(ROR)  Responsible Organization: Office of Air/ Noise and
    Radiation.Off ice of Radiation Programs.Office of Radiation P
                             85

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                             Accession  No.   4206000902

(DQ)  Date of Questionaire:  12-02-82
(NAM)  flame of Data Base of  Model:  Eastern  Environmental  Radiation
    Facilities (EERF)   Sample Data  Base
(ACR)  Acronym of Data Base  or Model: CAA
(MED)  Media/Subject of Data Base or Model:  Air  ;Atmospheric  deposition
    ;Drinking water ;Ground  water ; Sediment ;  Soil  ;Surface  water
    RIVERS, LAKES, STREAMS ;Tissue  human, fish,  animals
(ABS)  Abstract/Overview of  Data Base or  Model:  The  Eastern
    Environmental Radiation      Facilities  (EERF)  Is a radiation  lab
    committed to  the management of  about  a  dozen radiation sampling
    networks which submit samples for analysis on     regular
    schedules.  These samples are from  a  Hide variety of  media.   In
    addition, the EERF analyzed large numbers of sanples  for  special
    projects.  The    Clean  Air Act (CAA) data base  has Information
    covering all  samples analyzed at EERF.
(CTC)  CONTACTS:  Subject matter Charles R.  Phillips  (205)272-3402 ex
    16;  computer-related Jon Broadway  (205)272-3402 ex 31; EPA Office
    Charles R. Phillips (205)272-3402 ex  16
(DTP)  Type of data collection or monitoring: Combination/Other all
    types of data collection
(STA)  Data Base  status: operational/ongoing
(GRP)  Groups of  substances  represented in  Data  Base: 18  radioactive
    >21 drinking  water standards
(NPP)  Non-pollutant parameters included  in the  data base: Concentration
    measures ;Flow rates ;Location  ;Physical data  ;     Precipitation
    ;Sampling date ^Test/analysis method  ;Volume/mass measures ;
    collection date and tine ^receipt date  by Eastern Environmental
    Radiation Facilities ;    Flag  date ;sample  type ^Population  ;other
    Identifications
(DS)  Time period covered by data base: 04-01-78 TO  09-30-81
(TRM)  Termination of data collection:  Hot  anticipated
(FRQ)  Frequency  of data collection or  sampling: one time only >weekly
    ;raonthly ;quarterly ;semi annually  ^annually )   as needed ;Cther
    sampling rates say be accelerated to  as frequent as daily in
    certain cases.
(NOB)  Number of  observations in data base: 13800.(Actual)
(IMF)  Lata base includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or  sources  covered in data base:  300.
(NCS)  Wo. stations or sources currently  originating/contributing data:
    200.
(NOF)  Number of  facilities  covered In  data base (source  monitoring): 0.
(GEO)  Geographic coverage of data  base:  International
(LQC)  Data elements identifying location of station or source include:
    State jCity
(FAC)  Data elements identifying facility Include: Plant  facility name
    jPlant location
(CDS)  pollutant  Identification data are: Oncoded
(LIM)  Limitation/variation  in data of  which user  should  be  aware: None
(ANL)  Lab analysis based on SPA-approved or accepted methods? YES
•(ADD)  Lab Audit: Lab audit  Is satisfactory.
(PRE)  Precision: Precision  and accuracy  estimates exist  for  all


                             86

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                             Accession No.   4206000902      (cont)

    measurements
(EDT)  Fditting; Complete report generation program is  part of  system.
(CBY)  Data collected by: Self reporting ;Locai agency  various  local
    agencies ;State agency various state  Regional office all regional
    offices ;EPA lab Eastern Environmental  Radiation Facilities
(ABY)  Data analyzed by:  EPA lab Eastern Environmental  Radiation
    Facility
(IDL)  Laboratory identifications YES
(Pfil)  Primary purpose of data collection;  Trend assessment Monitoring
    of fallout or other   large scale release
(PR2)  Secondary purpose  of data collection!  Risk assessment
(AUT)  Authorization for  data collection: Statutory authorization  is
    various environmental acts such as the  Clean     Air  Act (P L
    88-206)
(OiMB)  Data collected/submitted using QMS-approved EPA  reporting forms!
    QQ
(REP)  Form of available  reports and outputs of data base:  Publications
    Environmental Radiation Data Ca quarterly publication)
    On-line computer report generation program
(NUS)  Number of regular  users of data base:  300
(USR)  Current regular users of data base:  EPA headquarter offices
    Office of Radiation Programs
    EPA laboratories
    Other federal agencies
    States   CONFIDENTIAL: Limits on access within EPA  and outside
    agency for all data
(DLC)  Primary physical location of data: SPA lab
(DST)  Form of data storage: Magnetic disc & tapes
(DAC)  Type of data access! EPA software MIDS:420600Q902  Jdial  in
    access with low speed terminal
(CHG)  Direct charge for  non-EPA use: no
(JJPDT)  Frequency of data base master file up-date: Daily
(RDBEPA)  Related EPA data bases used in conjunction with this  data base
    Environmental Radiation Ambient    Monitoring System  (ERAMS) part
    of Fastern Environmental     Radiation Facilities (EERF) Sample
    Data Base
(CMP)  Completion of form:
    Jon A. Broadway
    OFC! E?A/(aANR)/(QRP)/CEERF)
    AD! P.O. Box 3009, Montgomery AL 36193
    PH: (205)272-3402; FTS 534-7615
(DF)  Date of form completion: 01-13-83
(JJHAT)  Number of substances represented In data base:  17
(NCAS)  Number of CAS registry numbers in data base: 16
(MAT)  Substances represented in data base:
    barium 140<14798-G8-4>               plutoniun 239<15117-48-3>
    cesium 137<10045-97-3>               potassiuiK7440-09-7>
    gross alpha                          radium 226<13982-63-3>
    iodine 129<15046-84-l>               radium 228<15262-20-1>
    iodine 131<10043-66-0>               strontiua 89<14158-27-l>
    krypton 85<13983-27-2>               strontium 90<10098-97-2>
    Plutonium 238<13981-16-3>            tritium<10028-17-8>


                             87

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                             Accession No.   4206000902     (cont)

    uranium 234<13966-29-5>              uranium 238<7440-61-1>
    uranium 235<15117-96-l>
(CAS)  CAS registry numbers of substances included in data base: 14798-0
    8-4; 10045-97-3; 15046-84-1;      10043-66-0; 13983-27-2;
    13981-16-3;  15117-48-3; 7440-09-7;       13982-63-3; 15262-20-1;
    14158-27-1;  10098-97-2; 10028-17-8;      13966-29-5; 15117-96-1;
    7440-61-1
(CUM)  Contact natne(s):  Phlllips/C.R.  ;    Broaduay,J.A.   ;
    Phillips/C.R.
(PQR)  Responsible Organization: Office of  Alrr Noise and
    Radiation.Office of Radiation Programs.Eastern Environmental
                             88

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                             Accession So.   4206000904

(DQ)  Date of Questionaire: 12-02-82
(STATUS)  Status of entry:  Inactive
(NAM)  Kane of Data Base of Model:  RANDAY
(ACR)  Acronym of Data Base or Model; ERFDAYYY
(MED)  Media/Subject of Data Base or Model:  Air ;Atmospheric deposition
(A8S)  Abstract/Overview of Data Base or Model: Data based contains
    data on gross beta concentration   in samples of airborne
    particulates and precipitation, Location (city & state)/ 5  hour
    field estimate (pico   curies per cubic  meter),  along with  maximum/
    minimum/  and average results for same are given as well as
    millimeters    of rainfall analyzed and  reported in nano curies  per
    square meter.  Specific gamma is reported in pico curies per  liter.
(CTC)  CONTACTS: Subject matter   Gerry Luster  <205) 272-3402     ;
    Computer-related  S.E.  R
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Discontinued
(NPP)  Non-pollutant parameters included in  the data base: Concentration
    measures ^Location ^Precipitation ^Sampling date ;   station number
(DS)  Time period covered by data base: 03-01-78 TO  09-30-80
(TRM)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: daily  ^weekly
(HOB)  Number of observations in data base:  8100.(Estimated)
(NSI)  Estimated annual increase of observations in  data base:  2700.
(OIF)  Data base includes:  Raw data/observations ^Summary aggregate
    observations
(NTS)  Total number of stations or sources covered in data base:  SO.
(NCS)  Do. stations or sources currently originating/contributing data:
    50.
(NQF)  Number of facilities covered in data  base (source monitoring); (N
    /A.)
(GEO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source  include:
    State ;City
(FAC)  Data elements identifying facility include: station number
(CDE)  Pollutant identification data are: Uncoded
(LIM)  Limitation/variation in data of which user should be aware: Diffe
    rent sampling periods.   Precipitation   data limited to 24
    stations.
(AND  Lab analysis based on SPA-approved or accepted methods?  YES
(AfJD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist for all
    measurements
(SDT)  Editting: No known edit procedures exist.
(C3Y)  Data collected by: Local agency various local agencies ;State
    agency various state agencies /  Regional office all regional
    offices ;EPA lab Eastern Environmental Radiation Facility
(AEY)  Data analyzed by: SPA lab Eastern Environmental  Radiation
    Facility
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection: Trend assessment
(PR2)  Secondary purpose of data collection: Risk assessment
(AUT)  Authorization for data collection: Statutory  authorization is P


                             89

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                             Accession No.   4206000904     (cont)

    L 88-206 as amended (Clean Air Act-CAA)
(OMB)  Data collected/ submit ted using QMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    Environmental Radiation Data Quarterly
(NUS)  Number of regular users of data base:  375
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Radiation Programs
    EPA regional offices
    EPA laboratories
    Other federal agencies
    States
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Magnetic disc
(DftC)  Type of data access: EPA software   MIDS:4206000904  ;contact by
    phorse
(CHG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base master file  up-date: Other daily
(CMP)  Completion of forms
    Stanley E. Richardson
    OFC: EPA/(QANR)/(ORP)/(EERF)
    PH: (205) 272-3402
(DF)  Date of form completion: 01-17-83
(NMAT)  Number of substances represented in data base: 12-02-82      1
(MAT)  Substances represented in data base:
    gross beta
(CNM)  contact name(s): LusteoG. }    Richardson/S.E.j    Philllps/C
(ROR)  Responsible Organization: Office of  Air/ Noise and
    Radiation.Office of Radiation Programs.Eastern Environmental
                             90

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                             Accession No.   4207000901

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model: Environmental Radiofrequency Data
    Base
(ACR)  Acronym of Data Base or Model:  None
(MED)  vedla/Subject of Data Base or Model:  Other radiofrequency
(A8S)  Abstract/Overview of Data Base or Model:  Ambient radiofrequency
    environments     (0.5-1.6 Megahertz, 54-900  Megahertz)  in 15
    metropolitan    areas (Atlanta, Boston/  Chicago, Denver,  Houston,
    Las Vegas, Los Angeles, Miami, New York, Philadelphia,  Portland,
    San Diego, San Francisco, Seattle, and   Washington, DC);  about 30
    measurement sites in each    metropolitan area.   Results  reported
    in Volts/meter    for 0.5-1.6 Megahertz  and  in microwatts/square
    centimeter for 54-900 Megahertz.
(CTC)  CONTACTS: Subject matter   Richard A. Tell  (702)798-2440  ;
    EPA Office  David 5. Jan
(DTP)  Type of data collection or monitoring: Ambient data  collection
(STA)  Data Base status: Operational/ongoing
(NPP)  Non-pollutant parameters included in  the  data base:  Exposure
    data ^Location population density ^Sampling date ;frequency
(OS)  Time period covered by data base: 11-01-75 TO 09-30-81
(TPM)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: one time only
(NOB)  Number of observations in data base:  486  sites.(Actual)
(NEI)  Estimated annual increase of observations in data bases  0.
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations ;Reference data/citations
(NTS)  Total number of stations or sources  covered in data  base: 0.
(NCS)  Mo. stations or sources currently originating/contributing data:
    0.
(NQF)  Number of facilities covered in data  base (source monitoring):  0.
(GEO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source  include:
    Coordinates latitude/longitude
(FAC)  Data elements identifying facility include: N/A
(CDS)  pollutant Identification data are: Uncoded
(HM)  Limitation/variation in data of which user should be aware: None
(DpR)  Data collect./anal, procedures conform to ORD guidelines: Samplin
    g plan documented ^Collection method documented ^Analysis method
    document
(ANL)  Lab analysis based on £PA-approved or accepted methods?  NO
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision and accuracy estimates exist but  are not
    included in data base.
(EOT)  Fdltting: Edit procedures used but undocumented.
(CBY)  Data collected by: SPA headquarters  Office of Radiation Programs
(ABY)  Data analyzed by: SPA headquarters Office of Radiation Programs
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Development of regulations
    or standards
(AUT)  Authorization for data collection: No statutory requirement:
    Date collection requirement is    to support regulations  and
    standards development.


                             91

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                             Accession No.   4207000901      (cont)

(OMB)  Data collected/submitted using OMB-approved EPA  reporting  forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    Population Exposure to VHF and OHF Broadcast;  Radiation in the
    U.S. National Technical Information Service #PB294637
(NOS)  dumber of regular users of data base: 10
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Radiation Programs
    EPA regional offices
    SPA laboratories
    Other federal agencies
    States
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Original form  (hardcopy, readings)
(DAC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: yes
(CMP)  Completion of form:
    David E. Janes
    OFC: EPA/(OANR)/(ORP)
    ADs 9100 Brookvllle Rd., Silver Spring, MD 20910
    PH: (301)427-7604
(DF)  Date of form completion: 02-06-83
(NMAT)  Number of substances represented in data base:  12-02-82      1
(MAT)  Substances represented in data base:
    ambient radiofrequencyenvironments
(CNM)  Contact naiue(s): Tell,R.A. ;    Janes/0.E.
(ROR)  Responsible Organization: Office of  Air, Noise and
    Radiation.Office of Radiation Programs.Support and  Analysis
                             92

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                             Accession No.   4302100522

(DQ)  Date of Questioiiaire;  12-02-82
(NAJ4)  fiame of Data Base of  Model:  BOD/TSS  Study - Refrigerated vs.
    Unrefrigerated
(ACR)  Acronym of Data Base  or Model:  None
(WED)  fcedia/Subject of Data Base or Model:  Effluents-  Final effluent
    wastetater streams from  pulp, paper, and paperboard mills
(ABS)  Abstract/Overview of  Data Base  or Model:  BOD5 and TSS data
    collected under refrigerated    and unrefrigerated  sample storage
    conditions for a period  of approx    imately  60 days at 15 pulp,
    paper, and paperboard mills.
(CTC)  CONTACTS:  Subject matter  Willard C.  Warren (207) 775- 5401   ;
    Computer-related  David  J. Ryan (207) 775-5401  ;  EPA  Office
    Robert W. Dellinger, Effluent Guidelines Division (202)  382-7137
(DTP)  Type of data collection or monitoring: Point source- discharges
    from pulp, paper, and    jpaperboard mills
(STA)  Data Base  status; Date base updated  terminated
(GRP)  Groups of  substances  represented in  Data  Base: Other- BODS and
    TSS
(NPP)  Non-pollutant parameters included in the  data base: Collection
    method or instrument j concentration   measures } industry i
    location ; manufacturer  } temperature
(DS)  Time period covered by data base: 08-07 TO 08-12
(TRM)  Termination of data collection: Has  occurred 80-12
(FRQ)  Frequency  of data collection or sampling: One time only
(NOB)  dumber of  observations in data  base:  3600 (Estimated to date)
(NET)  Estimated  annual increase of observations in data base: 0
(INF)  Data base  includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data base: 15
(NCS)  Eo. stations or sources currently originating/contributing data:
    0
(NQF)  Number of  facilities  covered in data base (source monitoring): 15
(GEQ)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or source include:
    Not applicable
(FAC)  Data elements identifying facility include; Plant or facility
    name ; plant  location }  program assigned identifier
(CDE)  Pollutant  identification data are: Uncoded
(LIM)  Limitation/variation  in data of which user should be aware: Time
    period for data collection and analytical    procedures are not
    identical for each mill.  Some information is confidential.
(DPR)  Data collect./anal, procedures  conform to ORD guidelines: No,
    but other documentation  available  for each    of the following-
    Analysis method
(AND  Lab analysis based on EPA-approved or accepted methods? No,
    although approved methods were specified,     deviations did occur
    and varied mill-to-ralll.
(ADD)  Lab Audit: NO
(PRS)  Precision: Partial- "Precision" studies completed for all    BOD
    and TSS analyses,; no "accuracy" studies*
(EOT)  Emitting:  Yes, undocumented
(CBY)  Data collected by: Self-reporting, permittee (analyzed samples
    and submitted data) ; contractor,  E. C. Jordan Co., Inc. (received


                             93

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                             Accession No.   4302100522      (cont)

    submitted data from permittee an summarized it)
(ABY)  Data analyzed by:  Contractor, S. C.  Jordan Co.,  Inc.  (analyzed
    data,  not samples)
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose  of data collections  Development  of regulations
    or standards
(PR2)  Secondary purpose  of data collections  Special study
(AUT)  Authorization for  data collections No, industry  representatives
    comments led to this  cooperative study between the  Agency and  its
    contractor and an industry representative (NCASI).   Participation
    by wills was  voluntary.
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    NO
(REP)  Form of available  reports and outputs of data base: Publications-
    "An Evaluation of the Effects of    Sample Storage  Conditions  on
    the measurements of 8005 by E. C,   Jordan Co. under SPA contract
    68-01-5783 ; Other- Printouts on   request if EPA-EGD authorization
    received.
(NUS)  Number of regular  users of data base:  2
(USR)  Current regular  users of data base:  EPA Headquarters Offices-
    Effluent Guidelines     Division > Other- E. C.  Jordan Co., Inc.
(CNF)  Confidentiality  of data and limits on access: Some data
    confidential, limits  on access both     within EPA  and outside the
    agency.
(DLC)  Primary physical location of data: Contractor
(DST)  Form of data storage: Other- Magnetic Diskette
(DAC)  Type of data access: Manually only
(CHG)  Direct charge for  non-EPA use: So outside use/access permitted
    without EPA  Authorization
(npDT)  Frequency of data base master file up-date:  JSone, project  is
    complete; data file closed.
(CiMP)  Completion of form: ^Robert E. Handy, Jr.f   GFCs E. C. Jordan
    Co., Inc.*  AD: P.  0. Box 7050, DTS ; Portland ME  04112$     PH:
    (207)  775-540i#
(OF)  Date of form completion: 02-03-83
(NMAT)  Number of substances represented In data base:  1
(NCAS)  Number of CAS registry numbers in data base: 0
(MAT)  Substances represented In data base:
    BODS                                 TSSS
(CMM)  Contact name(s): Harren,W.C.  ;  Ryan,D.J.  }  Dellinger,R.H.
(COR)  Contact organization: Effluent Guidelines Division
(ROR)  Responsible Organization: Office of Water.Cfflce of lilater
    Regulations and Standards.Effluent Guidelines Divisio
                             94

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                             Accession No.   4302100524

(DQ)  Date of Questionaires  12-02-82
(NAM)  Name of Data Base of  Model:  EPA Supplemental Pulp/  Paper,  and
    Paperboard Industry Survey
(ACR)  Acronym of Data Base  or Model: SOP
CKED)  Media/Subject of Data Base or Model:  Effluent- Raw/
    intermediate/ and final  effluent   uasteuater streams  from pulp/
    paper/ and paperboard mills  Some  data  confidential.  >  Other-
    Pulp/ paper/  and paperboard mills    production data (some
    confidential).
(ABS)  Abstract/Overview of  Data Base or Model: Up to 33 months of raw,
    intermediate/ and final    effluent wastewater streams  daily 60D5/
    TSS/ COD/ ammonia/ pH,    temperature/ color/ and flow  data from 44
    pulp/ paper/  and paperboard mills.  Not  all data for all streams is
    available for all mills. Type of mill (based on process-and
    product)/ production levels/ and   type  of uasteuater  treatment
    system in-place information is  available.      Some  data  is
    confidential.
(CTC)  CONTACTS:  Subject matter  Hillard C.  Warren (207) 775- 5401  j
    Computer-related  David  J, Ryan (207) 775-5401  ?  EPA  Office
    Robert H. Delllnger/ Effluent Guidelines Division (202)   382-7137
(DTP)  Type of data collection or monitoring:  Point source-  discharges
    at pulp/ paper/ and paperboard  mills
(STA)  Data Base  status: Presently  operational/ongoing
(GPP)  Groups of  substances  represented in Data Base: Other- Refer to
    abstract/overview of data base
(IfPP)  Kon-pollutant parameters included in  the data base: Flow rates ;
    industry ; location / manufacturer ; production levels ; sampling
    date ; temperature } test/analysis  method } treatment devices or
    processes ; volume/mass  measures ; also  refer to abstract/overview
    of data base
(DS.)  Time period covered by data base: 07-77 TG 03-80
(TRM)  Termination of data collection: Has occurred 80-03
(FRO)  Frequency  of data collection or sampling: One time  only
(NOB)  Number of  observations in data base:  400/000(Estimated to  date)
(NEI)  Estimated  annual increase of observations in data base: 0
(INF)  Data base  includes:  Ran data/observations } aggregate or summary
    observations
(NTS)  Total number of stations or sources covered in data base:  120
(HCS)  Wo. stations or sources currently originating/contributing data:
    0
(NQF)  Number of  facilities  covered in data  base (source monitoring): 44
(GEO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source include:
    Not applicable
(FAC)  Data elements identifying facility include: Plant or  facility
    name ? plant  location }     program assigned Identifier
(CDS)  Pollutant  identification data are: Uncoded
(LIM)  Limitation/variation  in data of «hich user should be  aware: Not
    all data for  all wastewater streams (stations/     sources) is
    available for all facilities.  Some data Is confidential. Time
    periods covered by data  not identical for all mills.
(DPR)  Data collect./anal,  procedures conform to (3RD guidelines:  NO


                             95

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                             Accession No.   4302100524     (cont)

(ANL)  Lab analysis based on EPA-approved or accepted methods? Yes
    (assumed/ as data submitted Has reported by permittee)
(AUD)  Lab Audit:  NO
(PRE)  Precision:  None available
(EOT)  Editting: Yes, undocumented
(CBY)  Data collected by: Self-reporting, Permittee (provided data to
    be    analyzed) ; Contractor,  E.  C. Jordan Co*, Inc.  (collected
    data from   permittee for analysis)
(A8Y)  Data analyzed by:  Contractor,  S. C.  Jord~Aan Co.,  Inc. (analyzed
    data; permittee analyzed samples)
(IDL)  Laboratory identification:  NO
(PR1)  Primary purpose of data collection:  Development of regulations
    or standards
(PR2)  Secondary purpose of data collection: Technology development
(AOT)  Authorization for data collection: Yes, citation-  Clean Water
    Act of 1977, P.L. 95-217, Section 308
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    Yes: OMB form number 158-RQ160
(REP)  Form of available reports and  outputs of data base:  Unpublished
    reports- "Supplemental Data Request   Program11 by E.  C. Jordan Co.
    ; Other- Printouts on request if  EPA-    EGD authorization received
(NUS)  Number of regular users of data base: 2
(USR)  Current regular users of data  base:  EPA Headquarters Offices,
    Effluent Guidelines     Division  > Other, E. C. Jordan Co., Inc.
(CNF)  Confidentiality of data and limits on access: Some data
    confidential,  limits on access both     within EPA and outside the
    agency
(DLC)  Primary physical location of data: Contractor
(DSf)  Form of data storage: Other- Magnetic Diskette
(DAC)  Type of data access: Manually  only
(CHG)  Direct charge for non-EPA use: No outside use/access permitted
    without EPA  Authorization
(UPDT)  Frequency of data base master file up-date: Other- as necessary
    to correct data
(CMP)  Completion of form: #Robert E. Handy, Jr.#   OFC!  E. C. Jordan
    Co., Inc.|  AD: P. 0. Box 7050, DTS; Portland ME  04112* PR: (207)
    775-5401#
(DF)  Date of form completion: 02-02-83
(NMAT)  Number of substances represented in data base: 5
(NCAS)  Number of CAS registry numbers in data base: 0
(HAT)  Substances represented in data base:
    nitrogen and compounds               suspended solids
    oxygen demand                        ammonia
    PH
(CflM)  contact narae(s): barren,!.C.  ;  Ryan,D.J.  ;  Delllnger,R.H.
(COR)  Contact organization: Effluent Guidelines Division
(RQR)  Responsible Organization: Office of Water.Office of Water
    Regulations and Standards.Affluent Guidelines Dlvisio
                             96

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                             Accession No.   4302100525

(DQ)   Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Long-Term Sampling Program
(ACR)  Acronym of Data Base  or Model:  None
(MED)  ^edia/Subject of Data Base or Model:  Effluents-  Ran/
    intermediate and final effluent   uasteuater streams from pulp,
    paper/ and paperboard mills.   Some data  is confidential.  / Other-
    Pulp, paper, and paperboard mills production     data (some
    confidential).
(ABS)  Abstract/Overview of  Data Base or Model:  Approximately 6 months
    of rau, intermediate, and  final effluent wastewater streams
    penodic flow, BODS, TSS  and    specific  toxic and nonconventional
    pollutant data for a bleached kraft mill and a deink (tissue
    papers) mill in the pulp, paper, and  paperbcard industry.
    Intermediate and final effluent stream data     is  available for
    the bleached craftwill?  all 3 streams data is   abailable for the
    deink mill.  Production  levels and type  of     uasteuater treatment
    system in-place information is available.  Some  sata is
    confidential.
(CTC)  CONTACTS: Subject matter  Millard C.  Warren (207) 775- 5401  ;
    Computer-related  David  J. Ryan (207) 775-5401  ;  EPA  Office
    Robert W. Dellinger, Effluent Guidelines Division (202)   382-7137
(DTP)  Type of data collection or monitoring: Point source,  discharges
    at pulp, paper, and paperboard mills
(STA)  Data Base status: Presently operational/ongoing
(GRP)  Groups of substances  represented in Data Base: Other-
    2, 4,5-trlchlorophenol; 4, 5-dichloroguaiacol;      3,4,5- and
    4,5,6-trichloroguaiacol;tetrachloroguaiacol;oleic acid,     linoleic
    acid,linolenic acid;9,10-epoxystearic acid;9,10-dichlorostearic
    "acidjabietic acid,dehydroabietic acld,isopimaric acidjlevopiraarie
    acid;neoabietic acid;palustric acid;pimarie acidjsandaracopiroaric
    acic;monochlorodehydroabietic acid,dichlorodehydroabietic acid;
    dimethyl sulfide,dimethyl disulfide
(NPP)  Non-pollutant parameters included in  the data base: flou rates /
    industry ; location ; manufacturer } production levels >  sampling
    date ; treatment devices or processes >   volume/mass measures
(DS)   Time period covered by data base: 06-81 TO 01-82
(TPvM)  Termination of data collection: Has  occurred
(FHQ)  Frequency of data collection or sampling: One time only
(NOB)  Number of observations in data base:  4500(Estiraated to date)
(NET)  Estimated annual increase of observations in data base: 0
(IMF)  Data base includes: Ran data/observations > aggregate  or summary
    observations
(NTS)  Total number of stations or sources  covered in data base: 5
(NCS)  Mo. stations or sources currently originating/contributing data:
    0
(NOF)  Number of facilities  covered in data  base (source monitoring): 2
(GEO)  Geographic coverage of data base: National          '
(LOC)  Data elements identifying location of station or source include:
    Not applicable
(FAC)  Data elements identifying facility include: Plant or  facility
    name ; plant location ;  program assigned identifier
(CDS)  pollutant identification data are: Coded, other  coding scheme


                             97

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                             Accession No.   4302100525     (cont)

(LIM)  Limitation/variation In data of which user should be aware:  Not
    all data for all waste water streams (stations/      sources)  Is
    available for each facility.  Some information  is    confidential.
    Time period covered by data not identical for ecah mill.
(DPR)  Data collect./anal, procedures conform to CRO guidelines:  No/
    but other documentation available for each    of the following-
    Sampling plan/ Collection method/ Analysis method/  and QA
    procedures.
(AND  Lab analysis based on EPA-approved or accepted methods?  YES
(ADD)  Lab Audit: NO
(PRE)  Precision: Not Included in data base/ precision and accuracy
    measurements available from other sources
(FDT)  Fditting: Yes/ undocumented
(CBY)  Data collected by: Self-Reporting/ Permittee (BODS, TSS,  flow) >
    Contractor/ E. C. Jordan Co./ Inc. (all other parameters)
(ABY)  Data analyzed by: Contractor/ £. C.  Jordan Co./ Inc.
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Development of regulations
    or standards
(PR2)  Secondary purpose of data collection: Technology development
(AUT)  Authorization for data collection: No.  This study was
    undertaken by the Agency and its contractor to  add to previous
    knowledge from other studies    authorized under Section 308  of the
    1977 Clean Water Act (P.L. 95-    217).  Participation by the
    facilities was voluntary.
(OMB)  Data collected/submitted using OMB-approved  EPA reporting  forms:
    HO
(REP)  Form of available reports and outputs of data base: Unpublished
    reports/ "Long-Term Sampling Program" by E. C.  Jordan Co. ;  Other-
    Printouts on request if SPA-EGO     authorization received
(NUS)  Number of regular users of data base: 2
(USR)  Currant regular users of data base:  EPA Headdquarters Offices/
    Effluent Guidelines    Division ; Other- E. C.  Jordan Co./  Inc.
(CNF)  Confidentiality of data and limits on access: Some data
    confidential/ limits on access both     within  EPA and outside  the
    agency
(DLC)  Primary physical location of data: Contractor
(DST)  Form of data storage: Other- Magnetic Diskette
(DAC)  Type of data access: Manually only
(CHG)  Direct charge for non-SPA use: No outside use/access permitted
(UPDT)  Frequency of data base master file up-date: Other- as necessary
    to correct data
(CMP)  completion of form: ^Robert E. Handy/ Jr.ft   OFC: E. C.  Jordan
    Co./ Inc.*  AD: P. 0. Box 7050/ DTS; Portland ME  04112# PH:  (207)
    775-5401J*
(DP)  Date of forra completion: 02-03-83
(NHAT)  Number of substances represented in data base: 56
(NCAS)  Number of CAS registry numbers in data base: 0
                             98

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                             Accession No.  4302100525     (cont)
(MAT)  Substances represented in data base:
    chloreform(trichLoromethane)
    2,4-dichloropheaol
    pentachlorophenol
    PCB-1016 (arochlor 1016)
    PC3-1221 (arochlor 1221)
    PCB-1232 (arochlor 1232)
    PCB-1242 (arochlor 1242)
    PCB-1248 (arochlor  1248)
    PCB-1254 (arochlor 1254)
    PCB-1260 (arochlor 1260)
    2,4,6-   trichlorophenol
    dissolved oxygen
    suspended solids
    2,3,5-trichlorophenol
    4, 5-dichlorogualacol
    3,4,5-trichloroguaiacol
    4, 5,6-trichloroguaiacol
    tetrachloroguaiacol
    oleic acid
    linoleic acid
    linolenic acid
    9,10-epoxystearic acid
    9, 10-dichlorostearic acid
    dehydroabietic acid
    isopimaric acid
    levopimarie acid
    neoebietic acid
    palustric acid
    pimarie acid
    sandaracopimaric acid
    monochlorodehydroabeitic  acid
    dichlorodehydroabeitic acid
    dimethyl sulfide
    dimethyl disulfide
    2^ 4, 5- tr ichl or ophenol
    4/5-dichloroguaiacol
    3/4,5- and 4,5,6-trichloroguaiacol
    tetrachloroguaiacol
    oleic acid/    linoleic acid/
       linolenic acid
    9,10-epoxystearic acid
    9/10-dichlorostearic   acid
    abietic acid/dehydroabietic acid,
       isopimaric acid
    levcpimarie     acid
    neoabietic acid
    palustric acid
    pinserie acid
    sancaracopimaric     acid
    raoncchlorodehydroabietic acid*
       dichlorodehydroable tic acid
                             99

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                             Accession No.   4302100525     (cent)

    dimethyl suiti6e,dimethyl
       disulfide
(CNM)  Contact naroe(s):  Warren, fe.C.   ;  Ryan,D.J.  ;  Dellinger/R
(COR)  Contact organization:  Effluent Guidelines Division
(ROR)  Responsible Organization:  Office of  Water.Office of »ater
    Regulations and Standards.Effluent Guidelines Divisio
                             100

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                             Accession No.   4302100527

(DQ)  Date of Questlonaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Regulatory  Information  and
    Management System
(ACR)  Acronym of Data Base  or Model:  RIMAS
(MED)  Media/Subject of Data Base or Model: Effluents-  industrial
    limitations & guidelines ;  other- Effluent Guidelines Divisions
    rulemaking packages and  other products
CABS)  Abstract/Overview of  Data Base  or Model: The Regulatory
    Information Management  and Accountability    System provides
    summaries of various Effluent Guidelines Division     rulemaking
    activities including; available data for comparative  analysis  of
    information; status of regulatory  developments; and profile
    descriptions for all industrial projects.   It further  serves   to
    provide information that may be used for the analysis  and
    evaluation    of the quality of EDG rulemaking activities with
    respect to the  defensabillty of the regulations.
(CTC)  CONTACTS: Subject matter  Debbie Seal/  Program Analyst 382-7220
    ;  EPA Office  Linda Wilbur/ Assisbant  to  the Director/
    Regulatory Policy EGO 382-7163
(DTP)  Type of data collection or monitoring:  Point source
(STA)  Data Base status: Presently Operational/Ongoing
(GRP)  Groups of substances  represented in  Data Base: 129  307 CWA  ; 11
    conventional water ; 15  metals
(NPP)  Non-pollutant parameters Included in the data base: collection
    method or instrument ; concentration   measures ; cost or economic
    data ; discharge poijnts ; flow rates ;   funding data ;  Industry  ;
    sampling date ; test/analysis method ;  treatment devices or
    processes ; use ; volume/mass measures  ;    subcategorlzation
    scheme of regulations; regulatory history  and  dvelopment;  Standard
    Industrial Classification Codes
(DS)  Time period covered by data base: 10-80  TO 12-82
(TRK)  Termination of data collection: Sot  anticipated
(FRQ)  Frequency of data collection or sampling: One time  only  ;
    ongoing:monthly ; ongoing:annually ;   ongoing:as needed
(NOB)  Number of observations in data base: 9&352(Estimated to  date)
(NEI)  Estimated annual increase of observations in data base:  N/A
(INF)  Data base includes: Raw data/observations ; aggregate  or  summary
    observation ; reference  data or citations
(NTS)  Total number of stations or sources  covered in data base:  50
(NCS)  No. stations or sources currently originating/contributing  data:
    28
(NOF)  Number of facilities  covered in data base (source monitoring):  N/
    A
(GEO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source  include:
    State ; individual project identifier
(FAC)  Data elements Identifying facility include: program assigned
    identifier
(LIM)  Limitation/variation in data of which user should be aware:  Exist
    Ing data bases are dependent upon the specific    and  most  current
    rulemaking activity within the Effluent Guidelines   Division.
(DPR)  Data collect./anal* procedures conform  to ORD guidelines:  N/A


                             101

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                             Accession No.   4302100527     (cont)

(ANL)  Lab analysis based on EPA-approved or accepted methods? N/A
(AUD)  Lab Audit: N/A: data not based on laboratory analysis
(PRE)  Precision: Not included in data base, precision and accuracy
    measurements available from other sources
(EDf)  Editting: Yes, documented edits
(CBY)  Data collected by: EPA Headquarters  EGD
(ABY)  Data analyzed by:  SPA Headquarters EGD
(IDL)  Laboratory identification: YES
(PRl)  primary purpose of data collection:  Development of regulation
    standards
(PR2)  Secondary purpose  of data collection: Program evaluation
(OMB)  Data collected/submitted using QMS-approved EPA reporting forms:
    NO
(REP)  Form of available  reports and outputs of data base: Unpublished
    reports- "EGD Regulatory Status" }    other- (CRT) Word-Processor
(USR)  Current regular users of data base:  EPA Headquarters Qffices-
    01, OWRS, EGC, DAS,     Enforcement/Perraitts, OPRM & others ;  EPA
    Regional Offices ; EPA Laboratories ; other federal agencies }
    states $ other- U.S.  Congress
(CNF)  Confidentiality of data and limits on access: None
(DLC)  Primary physical location of data: Headquarters Office
(DSt)  Form of data storage: Orlgional form, hardcopy, readings, etc.
(DAC)  Type of data access: Other- Lexitron Word processor
(CHG)  Direct charge for  non-EPA use: SO
(UPDT)  Frequency of data base master file  up-date: Other- as needed
(RSS)  Belated EPA automated systems which  use data base: None
(ROBEPA)  Related EPA data bases used in conjunction with this data base
    Related EPA data bases, other program products    related to the
    different stages of the regulatory development process
(ROB)  Non-EPA data bases used in conjunction with this data base: None
(CMP)  Completion of forms ^Debbie Seal*  OFC: OH/EGDf   AD: Rra. 931-D,
    WSM-E, 401 M St., S.tf., Washington, D.C.tf    PH: (202) 382-7220
(DF)  Date of form completion: 01-14-83
(NMAT)  Number of substances represented in data base: 165
(HCAS)  Number of CAS registry numbers in data base: 145
(MAT)  Substances represented in data base:
    Acenaphthene <83-32-9>               3,4-Benzofluoranthene <205-99-2>
    Acenaphthylene <208-96-8>            Benzo(k)  fluoranthene <207-08-9>
    Acrolein    <107-02-8>               Benzo(g,h,i)perylene <191-24-2>
    Acrylonitrile <107-13-l>             BenzoCa3pyrene <50-32-8>
    Aldrin <309-00-2>                    Beryllium <7440-41-7>
    Anthracene  <120-12-7>               Bis(2-     chloroethoxy)nethane
    Antimony <7440-36-0>                     <111-91-1>
    Arsenic <7440-38-2>                  Bis(2-chloroethyl)ether
    Asbestos  <1332-21-4>                   
    BHC-.Alpha. <319-84-6>               Bis(2-chloroisopropyl)ether
    BHC-.Beta. <319-85-7>                   <39638-32-9>
    8HC (lindarie)-.Gamma. <58-89-9>      Bis   (chloromethyl)ether
    BHC-.Delta. <319-86-8>                  <542-88-l>
    Benzene <71-43-2>                    Bis(2-ethylhexyl)phthalate
    Benzidine <92-87-5>                     <117-81-7>
    Benzo(a)anthracene <56-55-3>        Broraomethane <74-83-9>


                             102

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                         Accession No.  4302100527
                  (cent)
4-8romophenyl phenyl ether
   <101-55-3>
Butyl benzyl phthalate <85-68-7>
Cadmium  <7440-43-9>
Carbon tetrachloride <56-23-5>
Chlcrdane <57-74-9>
Chiorobenzene <108-90-7>
Chlcrodibromomethane   <124-48-l>
Chloroethane <75-00-3>
2-chloroethylvinyl ether
   <110-75-8>
Chloroform <67-66-3>
p-Chloro-fli-cresol <59-SO-7>
Chloromethane <74-87-3>
2-Chloronaphthalerie <91-56-7>
2-Chlorophenol <95-57-8>
4-Chlorophenyl phenyl ether
   <7005-72-3>
Chromium <7440-47-3>
Chrysene <218-01-9>
Copper <7440-50-8>
Cyanide <57-12-5>
4,4'-DDD(p,p'-TDE)   <72-54-8>
4,4'-DDE(p,p*-DDX) <72-55-9>
4,4*-DDT <50-29-3>
DibenzoCa^Wanthracene <53-70-3>
Oi-B-butyl phthalate <84-74-2>
1/2-Dichlorobenzene <95-50-l>
If3-Dichlorobenzene     <541-73-l>
ljr4-DIchlorobenzene <106-46-7>
3^3'- Dichlorobenzidine <91-94-l>
Dichlorobromoroethane <75-27-4>
Dichlorodifluoromethane <75-71-8>
1,1-Dichloroethane  <75-34-3>
1,2-Dichloroethane <107-06-2>
1,1-Dichloroethylene   <75-35-4>
Ij,2-tran5-0ichloroethylene
   <156-60-5>
DicJiloromethane <75-09-2>
2,4-Dichlorophenol <120-83-2>
1,2-Dichloropropane <78-B7-5>
1^2-Dichloropropylene <563-54-2>
Dieldrin <60-57-l>
Oiethyl phthalate <84-€6-2>
2,4-  Dimethylphenol <105-67-9>
Dimethyl phthalate <131-li-3>
4,6-Dinitro-o-cresol <534-52-l>
2,4-Dinitrophenol <51-28-5>
2,4-Dinitrotoluene <121-14-2>
2f 6-Dinitrotoluene <606-20-2>
Di-u-octyl phthalate <117-84-0>
If2-Diphenylhydrazine <122-66-7>
Endosulfan-.Alpha. <959-98-8>
Endosulfan-.Beta,     <33213-65-9>
Endosulfan sulfate <1031-07-8>
Endrin <72-20-8>
Endrin aldehyde <7421-93-4>
Ethylbenzene <100-41-4>
Fluoranthene <206-44-0>
Fluorene <86-73-7>
Heptachlor     <76-44-8>
Heptachlor epoxide <1024-57-3>
Hexachlorobenzene     <118-74-l>
Hejcachlorobutadiene <87-68-3>
Hexachlorocyclopentadiene
   <77~47-4>
Hexachloroethane  <67-72-l>
Indeno (l,2,3-cd)pyrene <193-39-5>
Isophorone <78-59-l>
Lead <7439-92-l>
Mercury <7439-97-6>
Naphthalene <91-20-3>
Nickel <7440-02-0>
Kitrobenzene <98-95-3>
2-Mitrophenol   <88-7S-5>
4-Nitrophenol <100-02-7>
N-Nitrosodiroethylaioine <62-75-9>
N-Mitrosodiphenylamine <86-30-6>
N-Nitrosodi-n- propylaraine
   <621-64-7>
Pentachlorophenol <87-86-5>
Phenanthrene    <85-01-8>
Phenol <108-95-2>
PCB-1016 (Arochlor 1016)
   <12674-ll-2>
PCB-1221 (Arochlor 1221)
   <11104-28-2>
PCB-1232   (Arochor 1232)
PCB-1242 (Arochlor 1242)
   <53469-21-9>
PCB-1248 (Arochlor 1248)
   <12672-29-6>
PCB-1254    {Arochlor 1254)
   <11097-69-l>
PCB-1260 (Arochlor 1260)
   <11096-82-5>
Pyrene <129-00-0>
Selenium <7782-49-2>
Silver <7440-22-4>
2^ 4^ 7, 8-Tetrachlorodibenzo-p-
   dioxin (TCDD)
1/1/2,2-tetrachloroethane
   <79-34-5>
                         103

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                             Accession No.   4302100527
                  (cent)
    Tetrachloroethylene <127~18-4>
    Thallium <7440-28-0>
    Toluene    <108-88-3>
    Toxaphene <80Ql-35-2>
    Tribromomethane <75-25-2>
    1,2,4-Trichlorobenzene <120-82-l>
    1,1,1-Trichloroe thane    <71-55-6>
    If If2-Trichloroethane <79-00-5>
    Trichloroethylene    <79-01-6>
    Trlchlorof luoroioethane <7S-69-4>
    2/4/6-     Trichlorophenol
       <88-06-2>
    Vinyl  chloride  <75-01-4>
    Zinc  <7440-66-6>
    Acidity
    Alkalinity
    Dissolved Oxygen
    Dissolved Solids
    Fecal  collform
    Nitrogen <7727-37-9>
Oxygen demand
PH
Phosphorus <7723-14-0>
Suspended solids
Arsenic <744Q-38-2>
Barium <7440-39-3>
BeryliiuiB <7440-41-7>
Cadmiuns <7440-43-9>
Chromium <7440-47-3>
Cobalt <7440-48-4>
Copper <7440-50-8>
Iron <7439-89-6>
Lead <7439-92-l>
Manganese and compounds
   <7439-96-5>
Mercury <7439-97-6>
Nickel <7440-02-0>
Selenium <7782-49-2>
Titanium <7440-32~6>
Vanadium <7440-62-2>
    Oil and Crease
(CAS)   CAS  registry numbers of substances Included in data base:  83-32-9
    I  208-96-8;  107-02-8;  107-13-1;    309-00-2;  120-12-7;  7440-36-0;
    7440-38-2;  1332-21-4;  319-84-6;    319-85-7;  58-89-9; 319-86-8;
    71-43-2; 92-87-5; 56-55-3; 205-99-2;      207-08-9; 191-24-2;
    50-32-8; 7440-41-7;  111-91-1;  111-44-4;       39638-32-9;  542-88-1;
    117-81-7;  74-83-9;  101-55-3;  85-68-7;      7440-43-9;  56-23-5;
    57-74-9; 108-90-7;  124-48-1;  75-00-3; 110-75-8;   67-66-3;  59-50-7;
    74-67-3; 91-58-7; 95-57-8; 7005-72-3; 7440-47-3;    218-01-9;
    7440-50-8;  57-12-5;  72-54-8;  72-55-9; 50-29-3; 53-70-3;
    84-74-2; 95-50-1; 541-73-1;  106-46-7; 91-94-1; 75-27-4; 75-71-8;
    75-34-3; 107-06-2;  75-35-4;  156-60-5; 75-09-2; 120-83-2;  78-87-5;
    563-54-2;  60-57-1;  84-66-2;  105-67-9; 131-11-3; 534-52-1; 51-28-5;
    121-14-2;  606-20-2;  117-84-0;  122-66-7;  959-98-8; 33213-65-9;
    1031-07-8;  72-20-8;  7421-93-4; 100-41-4;  206-44-0; 86-73-7;
    76-44-8;       1024-57-3; 118-74-1; 87-68-3; 77-47^4;  67-72-1;
    193-39-5;  78-59-1;     7439-92-1; 7439-97-6;  91-20-3; 7440-02-0;
    98-95-3; 88-75-5; 100-02-7;       62-75-9; 86-30-6; 621-64-7;
    87-86-5; 85-01-8; 108-95-2;  12674-11-2;    11104-28-2;  11141-16-5;
    53469-21-9;  12672-29-6; 11097-69-1;      11096-82-5; 129-00-0;
    7782-49-2;  7440-22-4;  79-34-5; 127-18-4;    7440-28-0;  108-88-3;
    8001-35-2;  75-25-2;  120-82-1;  71-55-6; 79-00-5;       79-01-6;
    75-69-4; 88-06-2; 75-01-4; 7440-66-6; 7727-37-9; 7723-14-0;
  !  7440-38-2;  7440-39-3;  7440-41-7; 7440-43-9;  7440-47-3; 7440-48-4;
    7440-50-8;  7439-89-6;  7439-92-1; 7439-96-5;  7439-97-6; 7440-02-0;
    7782-49-2;  7440-32-6;  7440-62-2
(COR)   Contact organization: Regulatory Policy EGD
(ROR)   Responsible Organization:  Office of Hater.Office of Hater
    Regulations and Standards.Effluent Guidelines Divisio
                             104

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                             Accession No.   4404000905

(DQ)  Date of Questionaire:  12-02-82
(NAH)  Name of Data Base of  Model:  State and Local  Noise  Control  Data
    Base
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model:  Noise
(ABS)  Abstract/Overview of  Data Base  or Model:  The data  base  contains
    the nature and   scope of environmental  noise control activities
    in the nation's municipalities and states (i.e.  noise
    legislation/  type of control program,  and   utility of various
    types of information on  noise
(CTC)  CONTACTS:  Subject matter Robert Rose  (202)382-7758;
    Computer-related Robert  Rose {202)382-7758;  EPA Office of   Policy
    and Evaluation, OANR
(DTP)  Type of data collection or monitoring: Combination/Other status
    of state and  local noise control programs
(STA)  Data Base  status: Funded for development
(DPO)  Projected  operational date of Data Base:  01-00-81
(SPP)  Non-pollutant parameters Included in  the  data base: Compliance
    data ^Cost/economic data ;Geographic subdivision ;     Political
    subdivisions  ^Population demographics
(DS)  Time period covered by data base: 01-01-72 TO 09-30-81
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency  of data collection or sampling: Gther  1-3 years
(NOB)  K'Umber of  observations in data  base:  N/A.(Estimated)
(NEI)  Estimated  annual increase of observations in data  base:  (N/A.)
(INF)  Data base  includes: program information (subjective & objective)
(NTS)  Total number of stations or sources  covered  in data base:  (K/A.)
(NCS)  No, stations or sources currently originating/contributing data:
    (N/A.)
(NQF)  Kumber of  facilities  covered in data  base (source  monitoring): (N
    /A.)
(GEO)  Geographic coverage of data base: National
(LQC)  Data elements identifying location of station or source include:
    State jCounty
(F1C)  Data elements identifying facility include:  N/A
(LIM)  Limitation/variation  in data of which user should  be auare:  Data
    in data base  is not coded.  Data    quality assurance  is not an
    issue with this data base.
(ANL)  Lab analysis based on SPA-approved or accepted methods? NO
(AUD)  Lab Audit: Data not based on lab analysis.
(CSV)  Data collected by: Contractor National League of Cities
(A8Y)  Data analyzed by: Contractor National League of  Cities
    SPA headquarters Office  of Noise Abatement and  Control
(IDL)  Laboratory identification: NO
(AUT)  Authorization for data collection:  No statutory  requirement:
    Data collection requirement is    to ascertain  level  of noise
    control activities in the states and municipalities
(OMB)  Data collected/submitted using  OMB-approved  EPA  reporting  forms:
    158-R-0099
(REP)  Form of available reports and outputs of  data base: Publications
    Status of State and Local Noise Control  Programs
(NUS)  Number of  regular users of data base: 200


                             105

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                             Accession No.   4404000905      (cont)

(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of  Policy and Evaluation, OANRf   EPA regional  offices
    States
(CNF)  Confidentiality of data and limits on access:  No limits on
    access to data
(DLC)  Primary physical location of data: State agency
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access:  Commercial software Statistical Program for
    Social Sciences  (SPSS)  ;EPA hardware IBM 370
(CHG)  Direct charge for non-EPA use: no
(UPBT)  Frequency of data base master file  up-date:  Other every 3 years
(CMP)  completion of form:
    Robert Rose
    OFC: EPA/(QANR)/(OP£)
    AD: 401 M Street, S.H.,  Washington, D.C. 20460$  PH: (202)382-7758
(DF)  Date of form completion: 01-14-83
(CNM)  Contact name(s): Rose,R.
(COR)  Contact organization: Office of Policy and Evaluation, GAME
(ROR)  Responsible Organization: Office of  Air, Noise and
    Radiation.Office of Policy and Evaluation.
                             106

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                             Accession No.   4404000906

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Community Acoustical Data  Base
(ACR)  Acronym of Data Base or Model:  None
(WED)  tfedia/Subject of Data Base or Model:  Noise
CABS)  Abstract/overview of Data Base or Model:  The data base presents
    average noise    levels and major noise  sources for a    community
    as a whole.
(CTC)  CONTACTS:  Subject matter Robert Rose  (202)382-7758;
    Computer-related Robert Rose (202)382-7758;  EPA Office      Office
    of Policy and Evaluation, OANR  (202)382-7758
(DTP)  Type of date collection or monitoring: Ambient data  collection
CSTA)  Data Base  status: Operational/ongoing
(GRP)  Groups of  substances represented in Data  Base: noise
(NPP)  Eon-pollutant parameters included in  the  data base:  Political
    subdivisions
(DS)  Time period covered by data base: 04-00-78
(TRM)  Termination of data collection: Not  applicable
(FRQ)  Frequency  of data collection or sampling: Other  one-time-survey
    ;Qther research & demonstration
(NOB)  Number of  observations in data base:  4773.(Actual)
(NEI)  Estimated  annual increase of observations in data base: (N/A.)

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                             Accession No.   4404000906
(cont)
(REP)  Form of available reports and outputs of data base:  Machine-reada
    ble ra« data
(NUS)  Fumber of regular users of data base: 2
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Noise Abatement and Central/    State and Local Programs
    Division
(GIF)  Confidentiality of data and limits1 on access; Ho limits on
    access to data
(DLC)  Primary physical location of data:  city surveyed
(DST)  Form of data storages Magnetic tape
(DAC)  Type of data access: EPA software LISTEN-ACOUSTICAL  jEPA
    hardware UNIVAC 1110
(CHG)  Direct charge for non-EPA use: no
(DPDT)  Frequency of data base master file  up-date:  Other one time
    report only
(RSS)  Related EPA automated systems which  use data  base: LlSTEN-an
    automated data base to   evaluate local noise
(RDBSPA)  Related SPA data bases used in conjunction with this data base
    LISTEN data base
(CMP)  Completion of form:
    Robert Rose
    OFC: EPA/(QANR)/(QPE)
    AD: 401 M Street/ S.8./ Washington/ D.C, 20460f    PH: (202)
    382-7758
(DF)  Date of form completion: 01-14-83
(NMAT)  Number of substances represented in data base: 2
(MAT)  Substances represented in data base:
    Ldn Level of sound averaged          Leq equivalent level of sound
       over both day and night
(CNM)  Contact nanie(s): Rose/R.; Rose/R
(COR)  Contact organization: Office of Policy and Evaluation, OANR
(ROR)  Responsible Organization: Office of  Air/ Noise and
    Radiation.Office of Policy and Evaluation.
                             108

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                             Accession No.   4404000911

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  1979 National  Health and  Nutrition
    Examination Survey
(ACR)  Acronym of Data Base  or Model:  HANES  I
(MED)  Kedia/Subject of Data Base or Model:  Other health records
(ABS)  Abstract/Overview of  Data Base  or Model: The data base  contains
    hearing and health measurements and medical history assessments of
    approximately 30,000 adults,  ages 18-79,  compiled  by the  National
    Center for Health Statistics during the  1971-1975 National Health
    and    Nutrition Examination Survey.  Pollutant parameters are  not
    applicable to this data  base.
(CTC)  CONTACTS:  Subject matter Robert Rose  (202)382-7758;
    Computer-related Judy Singer (617)492-7100; EPA Office      Office
    of Policy and Evaluation, OANR (202)382-7758
(DTP)  Type of data collection or monitoring:  Combination/Other data
    taken from National Center for Health Statistics collected data.
(STA)  Data Base status: Operational/ongoing
(NPP)  Non-pollutant parameters included in  the data base: Geographic
    subdivision ;Heaith effects ;lndustry population demographics  ;
    medical history data
(DS)  Time period covered by data base: 01-01-71  TO 12-30-75
(TRM)  Termination of data collection: Occurred 12/30/75
(FR.Q)  Frequency of data collection or sampling:  Other  every ten  years
    (Survey may be repeated  in that time frame)
(NOB)  Number of observations in data  base:  30000 persons.(Estimated)
(NET)  Estimated annual increase of observations  in data base: (N/A.)
(INF)  Data base includes: Rat* data/observations
(NTS)  Total number of stations or sources covered in data base:  (N/A.)
(NCS)  No. stations or sources currently originating/contributing data:
    (N/A.)
(UOF)  lumber of facilities  covered in data  base  (source monitoring):  (N
    /A.)
(GEO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source include:
    SMS A
(FAC)  Data elements identifying facility include: N/A
(LIJO  Limitation/variation  in data of which user should be  aware:  Contpl
    ex Sampling procedures used by National     Center  for Health
    Statistics.  Coding of pollutants  not     applicable.
(DPR)  Data collect./anal, procedures  conform to  CRD guidelines:  Samplin
    g plan documented ^Collection method documented ^Analysis  method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? NO
(AUD)  Lab Audit: Data not based on lab analysis*
(EOT)  fditting:  Edit procedures used  but undocumented.
(CBY)  Data collected by: Other federal agency National Center for
    Health Statistics,  Public Health  Service.
(ABY)  Data analyzed by: Contractor ABT Associates
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection: Trend  assessment
(AUT)  Authorization for data collection: No statutory  requirement: no
    data collected by EPA


                             109

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                             Accession No.   4404000911     (cont)

(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ                  .    .  .           .  •  •        '              '
(REP)  Forro of available reports and outputs of data base:  Publications
    Plan and Operation of the Health and Nutrition Survey.  U.S.
    1971-1975 Vital and Health Statistics (serial number 10B)
    Department of Health,  Education and Welfare publication
    (PHS)-79-131Q
    Printouts on request
(NUS)  Number of regular users of data base: 2 offices
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Policy and Evaluation (OANR)#  Other federal  agencies
    CONFIDENTIAL: Limits on access uithin EPA and outside agency for
    all data
(DLC)  Primary physical location of data: Other federal agency
(OST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: Commercial software Statistical Program for
    the Social  Sciences (SPSS)
(CHG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base master file  up-date: Other none-data
    base updated terminated
(CMP)  Completion of form:
    Robert Rose
    OFCS EPA/(QANR)/(aPE)
    AD: 401 M Street, S.W., Washington, D.C. 2046G#   PH: (202)
    382-7758
(DF)  Date of form coiapletion: 01-14-83
(CMM)  Contact narae(s): Rose/R./ Singer,J,
(COR)  Contact organization: Office of Policy and Evaluation, OANR
(80R)  Responsible Organization: Office of  Air, Noise and
    Radiation.Office of Policy and Evaluation.
                             110

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                             Accession  No.   4404000913

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  National  Noise Assessment Data  Base
(ACR)  Acronym of Data Base  or  Model: NNA
(MED)  Kedia/Subject of Data Base or Model:  Noise
(ABS)  Abstract/ Over view of  Data Base or Model:  The data base  contains
    ambient noise level and     source contribution data collected  at  43
    residential sites. Site  descriptions in  the  form of maps and
    demographic data  are also  included.   Data  collection  was  completed
    in   September/ 1980/ and the automation of  the data base  will   be
    completed in  March, 1981.
(CTC)  CONTACTS:  Subject matter Robert  Rose  (202)382-7758;
    Computer-related Robert  Rose (202)382-7758;  EPA Office      of
    policy and Evaluation, OANR Robert  Rose  (202)382-7758
(DTP)  Type of date collection  or monitoring: Combination/Other ambient
    and source
(STA)  Data Base  status: Funded for development
(DPO)  Projected  operational date of Data  Base:  03-00-81
(GRP)  Groups of  substances  represented in Data  Base: noise
(RPP)  Eon-pollutant parameters included in  the  data base: Collection
    method ^Geographic subdivision ;Location ;Physical data  ;
    Political subdivisions population  demographics ^Population density
    ; Precipitation ^Sampling date ;Site description ^Temperature  j
    Wind direction ;Wind velocity ;baroroetric pressure
(DS)  Time period covered by data base: 05-01-80 TO 09-30-80
(TRM)  Termination of data collection:  Occurred  09/30/80
(FRQ)  Frequency  of data collection or  sampling: annually
(NOB)  Number of  observations in data base:  2000.(Estimated)
(REI)  Estimated  annual increase of observations in data base:  2000.
(IMF)  Data base  includes: Raw  data/observations ;Summary  aggregate
    observations
(NTS)  Total number of stations or sources covered in data base: 44.
(NCS)  To. stations or sources  currently originating/contributing  data:
    0.
(NOF)  Number of  facilities  covered in  data  base (source monitoring): 0.
(GEQ)  Geographic coverage of data base: National
(LOG)  Data elements identifying location  of station or source Include:
    State /County ;City ;Street address ;census  tract
(FAC)  Data elements identifying facility  include: N/A
(CDE)  Pollutant  identification data are:  Uncoded
(LIM)  Limitation/variation  in  data of  which user should be  aware: None
(DPR)  Cata collect./anal, procedures conform to GRD guidelines: QRD
    Guidelines
(AND  Lab analysis based on EPA-approved  or accepted methods? NO
(AUD)  Lab Audit: Data not based on lab analysis.
(PP.E)  Precision: Precision  and accuracy estimates exist but are not
    included in data base.
(EDT)  Edltting:  No known edit  procedures  exist.
(CBY)  Data collected by: Contractor Wyle  Labs
(ABY)  Data analyzed by: Contractor Wyle Labs
    EPA headquarters Office  of  Policy and  Evaluation,     Office  of
    Policy and Regulatory Review, OANR
(IDL)  Laboratory identification: NO


                             111

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                             Accession No.   4404000913      (cont)

(PR1)  Primary purpose of data collection:  Trend assessment
(PR2)  Secondary purpose of data collection:  Special study
(A0T)  Authorization for data collections  Statutory authorization  is P
    L 95-609, Section 14D (Quiet Communities  Act   of 1978)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(REP)  Form of available reports and outputs  of data base* Unpublished
    reports not yet available
(CNF)  Confidentiality of data and Units  on  access: No limits on
    access to data
(DLC)  Primary physical location of data:  SCC/IBM
(DST)  Form of data storage:  Magnetic disc
(DAC)  Type of data access: not yet determined
(CHG)  Direct charge for non-SPA use: no
(UPDT)  Frequency of data base master file up-date: Annually
(CHP)  Completion of form:
    Robert Rose
    OFC: EPA/(QANR)/(QPE)#   AD: 401 H Street, S.N., Washington, D.C.
    20460f   PH: (202) 382-7758
(DP)  Date of form completion: 01-14-83
(NMAT)  Number of substances  represented in data base:  12
(HAT)  Substances represented in data base:
    1% of the time                       L50  Sound level such that actual
    10% of the time                         sound level is above that leve
    50% of the time                      L90  Sound level such that actual
    90% of the time                         sound level Is above that leve
    99% of the time                     L99  Sound level such that actual
    LI Sound level such that actual         sound level is above that leve
       sound level is above that level   Ldn  Level of sound averaged over
    L10 Sound level such that actual        both day and night
       sound level is above that level   Leg  equivalent level of sound
(CNM)  Contact naiae(s): Rose,R.; Rose,R.;  Rose,R.
(ROR)  Responsible Organization: Office of Air, Noise and
    Radiation.Office of Policy and Evaluation.
                             112

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                             Accession  No.   4502000905

(DQ)  Date of  Questionaire:  12-02-82
(HAM)  Name of Data Base  of  Models  BACT/LAER Determinations
(ACR)  Acronym of Data Base  or  Model:  BACTLAER
(MED)  Hedia/Subject of Data Base or Model:  Air ^Emissions   any major
    sources
(A8S)  Abstract/Overview  of  Data Base  or  Model: The data base contains
    selected parameters,  in     summary  form/ from actual issued new
    source permits.  The   parameters  consist of pollutants  emitted,
    both types   and amounts, control  technology and efficiencies/ and
    location of person making determination. As states    submit new
    determinations they will be entered into    the system.
(CTC)  CONTACTS:  Subject  matter   Gary  Rust   (919)  541-5516  ;
    Computer-related  H/A   ;     EPA  Office of Air Quality  Planning
    and Standards (919)
(DTP)  Type of data collection  or monitoring: Point source data
    collection from any major emitting  source
(STA)  Data Base status:  Operational/ongoing
(GRP)  Groups of substances  represented in Data Base:  5 NESHAPS ;7
    criteria NAAQS >3 HID CAA
(NPP)  Mon-pollutant parameters included  in  the data base: Industry
    jManufacturer political subdivisions ^Production levels ;    Site
    description ^control  devices ^control efficiencies
(DS)  Time period covered by data base: 12-01-77 TO 12-31-83
(TRM)  Terjnination of data collection:  Not anticipated
(FRQ)  Frequency of data  collection or  sampling; annually jOther as new
    determinations are made  and submitted they  would be  entered into
    the system.
(NOB)  Number  of observations in data  base:  650.(Estimated)
(NEI)  Estimated annual increase of observations in data base: 100.
(INF)  Data base includes: Reference data/citations ^projected
    engineering evaluations
(NtS)  Total number of stations or sources covered in data base: 650.
(NCS)  No. stations or sources  currently  originating/contributing data:
    650.
(NQF)  Number of facilities  covered in  data  base (source monitoring): 65
    0.
(GEO)  Geographic coverage of data base:  National
(LOG)  Tata elements identifying location of station or source include:
    State >City ^County
(FAC)  Data elements identifying facility include:  Plant facility name
    jPlent location >Parent  corp narae  } Street  address  jSIC  code J
(CDE)  Pollutant identification data are: Uncoded
(LIM.)  Limitation/variation  in  data of  which user should be  auare: the
    limits presented were those for a  given   source at  a given time and
    location,  and should  be  used    as a guide in making the
    case-by-case determination     required by law.
(DPR)  Data collect./anal, procedures  conform to ORB guidelines: Samplin
    g plan documented ;Collection method  documented /Analysis method
    document
(AND  Lab analysis based on EPA-apgroved or accented methods? YES
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision  and accuracy  estimates are not available


                             113

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                             Accession No.   4502000905      (cont)

                  lead<7439-92-l>
    benzene<71-43-2>                     mercury<7439-97-6>
    beryllium<7440-41-7>                 nitrogen dioxiove<10102-44-0>
    carbon monoxide<630-08-0>            ozone<10028-15-6>
    fluorides                            sulfur dioxide<7446-09-5>


                             114

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                             Accession No.   4502000905      (cont)

    total reduced sulphur                vinyl chloride<75-01-4>
    total suspended particulates
(CAS)  CAS registry numbers of substances included in data base:  1332-21
    -4; 71-43-2;  7440-41-7; 630-08-0;       7439-92-1; 7439-97-6;
    101C2-44-0; 10028-15-6; 7446-09-5; 75-01-4
(CNM)  Contact nawe(s):  Rust/G;
(COR)  Contact organization:  Office of Air  Quality Planning and
    Standards
(ROP)  Responsible Organization: Office of  Air/ Noise and
    Radiation.Office of  Quality  Planning and Standards.Control P
                             115

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                             Accession No.   4504000917

(DQ)  Date of Questionnaire: 12-02-82
(HAM)  Kame of Data Base of Model:  Air Quality Data Handling  System II
(ACR)  Acronym of Data Base or Model:  1QDHS
(MED)  Media/Subject of Data Base or Model; Air
(ABS)  Abstract/Overview of Data Base or Model: AQDHS is a computerized
    software package provided to State agencies for storing and
    retrieving ambient air    quality data*  Output programs  enable
    users to easily supply     air  quality  data to EPA  In the required
    SAROAD (Storage and Retrieval of Aerometric Data) format. SPA
    staff  maintains the system for the states.
(CTC)  CONTACTS:  Subject matter John C. Bosch (919) 541-5694  ;
    Computer-related     Saffl Colon   (919) 541-5547 ;  EPA Office  John
    C. Bosch (919) 541-5694
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Operational/ongoing
(NPP)  Won-pollutant parameters included in the data base: Chemical
    data ^Collection method ;Concentration  measures ^Geographic
    subdivision Political subdivisions ^Sampling date ;Site description
(DS)  Time period covered by data base: 01-01-73 TO 09-30-82
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: hourly  ^daily
(NOB)  Kumfaer of observations in data base: N/A.(Estimated)
(NEI)  Estimated annual increase of observations in data base: (N/A.)
(INF)  Data base includes: Raw data/observations jSummary aggregate
    observations
(NTS)  Total number of stations or  sources  covered in data base:  (N/A.)
(NCs)  No. stations or sources currently originating/contributing data:
    (N/A.)
(KOF)  Number of facilities covered in data base (source monitoring):  (N
    /A.)
(GEQ)  Geographic coverage of data  base: National
(LOG)  Data elements identifying location of station or  source include:
    State ;County >City Coordinates UTM
(FAC)  Data elements identifying facility Include: parameter  codes
(CDS)  Pollutant identification data are: Saroad parameter
(LiM)  Limitation/variation in data of which user should be aware:  Indiv
    Idual users maintain their OMn  data     bases.  These data bases
    will vary by pollutant   parameter content and data  quality
    assurance procedures     used.   The AQDHS has the capability  of
    storing any     pollutant found.  EPA has no environmentally
    related   data associated with  its version of this  system.
(Afc'L)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit is partially satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist.
(EOT)  Fditting: Edit procedures used and documented.
(CBY)  Data collected by: Local agency various ones ;State agency
    various ones
(ABY)  Data analyzed by: Local agency various ones
    State agency various ones
    EPA headquarters Office of Air  Quality  Planning and  Standards
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Development  of regulations


                             116

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                             Accession  No.   4504000917      (cont)

    or standards
(AUT)  Authorization for data collection:  Statutory authorization  is  P
    L 91-604 (Clean Air Act Amendments  of  1970)     and  State
    Implementation Plans
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    NO.  agencies not obligated to use  this system.
(REP)  Form of available reports and outputs of  data base:  Machine-reada
    ble raw data
    On-line computer
(NUS)  Number of  regular users of data  base: 50
(USR)  Current regular users of data base:  States
    local air control agencies
(CNF)  Confidentiality of data and limits  on access: 80 limits on
    access to data
(OLC)  primary physical location of data:  State  agency
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: EPA software AQDHS II (CDHS)
    MIDS:4504000917 ;EPA hardware All
(CHG)  Direct charge for non-EPA use: no outside use/access permitted
(UPDT)  Frequency of data base master file up-date: Other as  needed by
    user
(RSS)  Related EPA automated systems which use data base: SAROAD
    (Storage and  Retrieval of   Aerometric Data)
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    SARCAD (Storage and Retrieval of   Aerometric Data)
(CMP)  Completion of form:
    Johi) C. Bosch
    OFC: EPA/(OANE)/OAQPS)/(MDAD)
    AD: Research  Triangle Park/ HC 27711
    PS: (919) 541-5694
(DF)  Date of form completion: 01-06-83
(CNH)  Contact name(s): Bosch,J.C.;    Bosch,J.C.;    Bosch,J.C.
(ROR)  Responsible Organization: Office of Air/  Noise and
    Radiation.Of flea of Quality Planning and Standards.Monitorin
                             117

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                             Accession No.   4504000918

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Fame of Data Base of Model:  Storage  and Retrieval  of  Aerometric
    Data
(ACR)  Acronym of Data Base or Model:  SAROAD
(KED)  ^edia/Subject of Data Base or Model;  Air
(ABS)  Abstract/Overview of Data Base  or Model: SAROAD  is a  system  for
    editing,  storing/ summarizing,   and reporting ambient air  quality
    date.  Raw data are collected by     State agencies  for the criteria
    pollutants, reported to Regional Offices and submitted for update.
    The data  reporting by States  began in  1972-1973.   The data are
    published in summary form,     are utilized for  trends analysis,
    determine whether national Ambient Air  Quality Standards    (NAAQS)
    are being met, and to prepare pollution control  strategies.
(CTC)  CONTACTS: Subject matter   Jacob G.  Summers  (919) 541-5694;
    Computer-related    Andrea Kelsey   (919) 541-5582   ;EPA  Office
    Harold Barkhau (919) 541-5582
(DTP)  Type of data collection or monitoring: Ambient  data collection
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances represented in  Data Base:  7 criteria NAAQS
    ;15 metals
(NPP)  Bon-pollutant parameters included in the data base: Collection
    method ^Concentration measures ^Elevation ^Location t Political
    subdivisions ;Site description /Temperature ;Uind  direction /
    kfind velocity
(DS)  Time period covered by data base: 01-01-57 TO  09-30-82
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: hourly jdaily ;t>eekly
(KQB)  dumber of observations in data  base:  300000000.(Estimated)
(NEI)  Estimated annual increase of observations in  data  base: 20000000.
(INF)  Data base includes: Raw data/observations ;Sunuaary aggregate
    observations
(MTS)  Total  number of stations or sources  covered in  data base: 14000.
(NCS)  No. stations or sources currently originating/contributing data:
    5000.
(NOF)  lumber of facilities covered in data base (source  monitoring):  (N
    /A.)
(GEO)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or source include:
    State jCounty ;SMSA yCity >Street  address Coordinates UTM
(FAC)  Data elements identifying facility include: N/A
(CDF)  Pollutant identification data are: Saroad parameter
(LIM)  Limitation/variation in data of which user should  be  aware:  None
(AMD  Lab analysis based on EPA-approved or accepted  methods? YES
(AUD)  Lab Audit: Lab audit is partially satisfactory*
(PRS)  Precision: Precision and accuracy estimates.
(EDT)  Edittings Edit procedures used  and documented.
(C8Y)  Data collected by: Local agency ;State agency all  ^Regional
    office all ;EPA lab Environmental  Monlt Triangle Park, HC  >Qther
    federal agency Tennessee Valley Authority >  EPA headquarters
(ABY)  Data analyzed by: Local agency
    State agency all
    Regional  office all


                             118

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                             Accession No.   4504000918     (cont)

    Other federal agency Brookhaven National Laboratory,   Department  of
    Energyy  Tennessee Valley Authority
    EPA headquarters
    Courcil  on Environmental Quality
(IDL)  Laboratory identification:  YES
(PR1)  Primary purpose of data collection?  Compliance or  enforcement
(AUT)  Authorization for data collection:  Statutory authorization  is  40
    CFR Part 58,  Subpart and C and D
(OMB)  Data  collected/submitted using OMB-approved EPA reporting  forms:
    QMBf 2000-0003
(RSP)  Form  of available reports and outputs of data base:  Publications
    Air Quality Data-Annual statistics Including   Summaries with
    Reference to  Standards
    Printouts on  reguast
    Machine-readable raw data
(NUS)  Number of  regular users of data base: 200
(USR)  Current regular users of data base:  EPA headquarter offices
    Office of Air Quality Planning and Standards
    EPA regional  offices
    SPA laboratories
    Other federal agencies
    States
    contractors
    consultants
(CSF)  Confidentiality of data and limits  on access: No limits on
    access to data
(DLC)  Primary physical location of data:  NCC/UKIVAC
(DST)  Form  of data storage: Magnetic disc
(DAC)  Type  of data access; EPA software SAROAD  J?IDS:4504000918  ;EPA
    hardware UJJIVAC 1110/62
(CHG)  Direct charge for non-EPA use: yes/  Freedom of Information
    requests only.
(UPDT)  Frequency of data base master file  up-date: Other every 3  weeks
(CMP)  Completion of form:
    Jacob G. Summers
    OFC: EPA/(OANR)/(OAQPS)/(MDAD)
    AD: Research  Triangle Park, NC 27511
    PH: (919) 541-5694
(DF)  Date of form completion: 01-06-83
(NMAT)  Number of substances represented in data base: 42
(&CAS)  lumber of CAS registry numbers in  data base: 30
(MAT)  Substances represented in data base*
    aldehyde                            carbon monoxide<630-08-0>
    ammonium                             chloride
    antimony<7440-36-0>                  chromiura<7440-47-3>
    arsenic<7440-36-2>                   cobalt<7440-48-4>
    barium<7440-39-3>                    copper<7440-50-8>
    benzo(a)pyrene<50-32-8>              fluoride
    beryllium<7440-41-7>                 hydrocarbons
    bisrcuth  compounds<7440-69-9>         hydrogen sulfide<7783-0€-4>
    cacndum<7440-43-9>                   iron<7439-89-6>
    carbon disulfide<75-15-0>            lead<7439-92-l>


                             119

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                             Accession No.   4504000918     (cont)

    manoanese<7439-96-5>                 sodiura<7440-23-5>
    mercury<7439-97-6>                   soiling index
    methane                              strontium
    molybdenum and compounds             sulfate
       <7439-98-7>                       sulfur dioxide<7446-09-5>
    nickel<7440-02-0>                    tin
    aitrate<14797-55-3>                  titanium<7440-32-6>
    nitrogen dioxide<10102-44-0>         total oxldizable carbon
    nitrogen oxides                      total suspended particulates
    02one<10028-15-6>                    vanadiura<7440-62-2>
    propane                              zinc<7440-66-6>
    seleniuia<7782-49-2>
(CAS)  CAS registry numbers of substances included in data base: 7440-36
    -0; 7440-38-2; 7440-39-3; 50-32-8;     7440-41-7; 7440-69-9;
    7440-43-9; 75-15-0; 630-08-0; 7440-47-3;   7440-48-4; 7440-50-8;
    7783-06-4; 7439-89-6; 7439-92-1; 7439-96-5;     7439-97-6;
    7439-98-7? 7440-02-0; 14797-55-8; 10102-44-0; 10028-15-6;
    7782-49-2; 7440-23-5; 7446-09-5; 7440-32-6; 7440-62-2; 7440-66-6
(CNM)  Contact name(s): Summers/J.G.
(RQR)  Responsible Organization: Office of  Air/ Moise and
    Radiation.Office of Quality Planning and Standards.Monitor in
                             120

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                             Accession  No.   4504000919

(DQ)   Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Source Test Data System
(ACR)  Acronym of Data Base  or Model:  SOTDAT
(MED)  Media/Subject of Data Base or  Model;  Emissions  point
    source-stack
CABS)  Abstract/Overview of  Data Base or  Model: SCTDAT  provides a
    system for storage/ retrieval/   and analysis of stack  test  data  and
    related process and     engineering Information necessary  to
    calculate emission     factors.   Data are available for  test
    reports from the EPA Emission Measurement Branch and other
    EPA-sponsored     test programs.
(CTC)  CONTACTS: Subject matter   Jacob G.  Summers  (919)  541-5694>
    Computer-related    Andrea Kelsey  (919) 541-5582;   EPA  Office
    Harold Barkhau (919) 541-5582
(DTP)  Type of data collection or monitoring: Point source  data
    collection stack
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in Data Base: 5 NSSHAPS ;7
    criteria SAAQS >3 HID CAA
(NPP)  £on-pollutant parameters included in the data base:  Collection
    method Concentration measures >Flow rates ^Location ;  Political
    subdivisions ?Production levels ;Sampling date ;Test/analysis
    method ;     Treatment devices ;Volume/mass measures
(DS)   Time period covered by data base: 01-01-67 TO 09-30-82
(TRM)  Termination of data collection:  Not anticipated
(FPQ)  Frequency of data collection or  sampling: as needed
(NOB)  Number of observations in data base:  2500.(Estimated)
(NEI)  Estimated annual increase of observations in data base:  250.
(INF)  Data base includes! Raw data/observations
(NTS)  Total number of stations or sources covered in data  base: 500.
(NCS)  No. stations or sources currently originating/contributing data:
    50.
(NOF)  dumber of facilities covered in  data base (source monitoring): 50
    0.
(GSQ)  Geographic coverage of data base:  National
(LOG)  Data elements identifying location of station or source  Include:
    Street address
(FAC)  Data elements identifying facility include: Plant facility name
    ;Plant location ;Street  address ?SIC code ;   SCC
(CDS)  Pollutant identification data  are: Other coding  scheme
(LIM)  Limitation/variation in data of  which user should be auare:  Sourc
    e test data are for selected facilities during a specific  time  and
    not for all sources for  a   specific industry on a  continuing
    basis.
(AHL)  Lab analysis based on SPA-approved or accepted methods?  NO
(PRS)  Precision: Precision and accuracy estimates are  not  available*
(SDT)  Edit.ting: Edit procedures used and documented.
(CBY)  Data collected by: EPA headquarters Office of Air Quality
    Planning and  Standards/ Emission Standar
(A8Y)  Data analyzed by: EPA headquarters Office of Air Quality
    Planning and    Standards/ Monitoring and Data Analysis Division
    Freedom of information Requests


                             121

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                             Accession No.   4504000919     (cont)

(IDL)  Laboratory identification; NO
(PR1)  Primary purpose of data collection:  Development of regulations
    or standards
(AUT)  Authorization for data collection:  No statutory requirement:
    The need for data on which to base air  quality   standards and
    regulations
(QMS)  Data collected/submitted using OMB-approved EPA reporting forms:
    NO
(REP)  Form of available reports and outputs of data base:  Printouts on
    request
(NUS)  Number of regular users of data base: 10
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Air Quality Planning and Standards
    EPA regional offices
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(OLC)  primary physical location of data:  NCC/UNIVAC
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software SOTDAT  HIDS:4504000919 ;EPA
    hardware UNlVAC 1110/82
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file  up-date: Other as needed
(RDBEPA)  Related EPA data bases used in conjunction with this data  base
    The identifiers are the same that are   utilized by National
    Emissions Data System.
(CMP)  Completion of form:
    Jacob G. Summers
    QFC: EPA/(OANR)/(OAQPS)/(MDAD)
    AD: Research Triangle Park, NC 27711
    PH: (919) 541-5694
(DF)  Date of form completion: 01-06-83
(NMAT)  Number of substances represented in data base: 11
(NCAS)  Number of CAS registry numbers in data base: 6
(MAT)  Substances represented in data base:
    acic mist                            lead<7439-92-l>
    amraonia<7664-41-7>                   mercury<7439-97-6>
    beryllium<7440-41-7>                 nitrogen oxides
    carbon monoxide<630-08-0>            sulfur dloxide<7446~09-5>
    fluorides                            total suspended particulates
    hydrocarbons
(CAS)  CAS registry numbers of substances included in data  base: 7664-41
    -7; 7440-41-7; 630-08-0; 7439-92-1;    7439-97-6; 7446-09-5
(CNM)  Contact name(s): Summers/J.G.
(ROR)  Responsible Organization: Office of  Air, Noise and
    Radiation.Office of Quality Planning and Standards.Honitorin
                             122

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                             Accession  No.   4504000921

(DQ)   Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  National  Emissions Data System
(ACR)  Acronym of Data Base  or  Model: NEDS
(MED)  Nedia/Subject of Data Base or Model:  Emissions   Point  source  and
    area source
(ABS)  Abstract/Overview of  Data Base or  Model:  The  National  Emissions
    Data System contains  data  describing the  annual emissions  and
    operating     characteristics of all  point and  area emitters in  the
    United States.  All states  are  required  by   regulation  to submit
    this data on an annual  basis to the  Regional Offices.  The data is
    then  transmitted to the National Air Data Branch of   OAQPS uhere
    it is processed.
(CTC)  CONTACTS: Subject matter   Charles 0. Mann   (919) 541-5694 }
    Computer-related    Andrea  Kelsey   (919) 541-5582 ; EPA Office
    Office of Air Quality Planning  and  Standards (919)
(DTP)  Type of data collection  or monitoring:  Point  source data
    collection any point or  area emitter
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in Data  Base: 7 criteria RAAQS

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                             Accession No.   4504000921      (cont)

    OAQPS
(IDL)  Laboratory Identification:  NO
(AUT)  Authorization for data collection:  Statutory authorization  is  P
    L 88-206 as amended (Clean Air Act-CAA)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    OMBf 2000-0022
(REP)  Form of available reports and outputs of data base:  Printouts  on
    request
(NUS)  dumber of regular users of  data base: 20
(USR)  Current regular users of data base:  EPA headquarter  offices
    OAQPS
    EPA regional offices
    contractors
    Universities
(CNF)  Confidentiality of data and limits  on access: No limits  on
    access to data
(DLC)  Primary physical location of data:  NCC/UNIVAC
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: SPA software National Emissions Data System
    (NEDS)  MIDS:4504000921 >  EPA hardware Univac 1110/82
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file  up-date: Monthly
(RSS)  Related EPA automated systems which  use data base: Hazardous and
    Trace Emissions Monitoring     Systems  (HATREDS - MIDSD
    £4504000921)
(ODB)  ether pertinent non-SPA data bases:  State agency emissions
    inventory   data bases
(CMP)  Completion of form:
    Sue Kimbrough
    OFCJ National Air Data Branch  Office of Air Quality
    Planning & Standards
    AD: RTP, KC 27711
    PH: (919) 541-5694
(DF)  Date of form completion: 01-06-83
(NMAT)  Number of substances represented in data base:  7
(NCAS)  Number of CAS registry numbers in  data base: 4
(MAT)  Substances represented in data base:
    carbon monoxide<630-08-0>            sulfur dioxide<7446-09-5>
    hydrocarbons                         total suspended particulatas
    lead<7439-92-l>                     volatile organic compounds
    nitrogen dioxide<10102-44-0>
(CAS)  CAS registry numbers of substances  included in data  base: 630-08-
    0} 7439-92-1; 10102-44-0; 7446-09-5
(CNM)  Contact name(s): Mami,C.O.
(COR)  Contact organization: Office of Air  Quality Planning and
    Standards
(ROP.)  Responsible Organization: Office of  Air, Noise and
    Radiation.Office of Quality Planning and Standards.Monitorin
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                             Accession No.   4504000922

    Computer-related  Sara Colon   (919) 541-5547 ; EPA Office J.  Bosch
    (919) 541-5694
(DTP)  Type of data collection or monitoring: Point source  data
    collection point and area sources
(STA)  Eata Base status: Operational/ongoing
(SPP)  Non-pollutant parameters Included in the  data base:  Compliance
    data ; Concentration measures ^Discharge points /Flow rates }
    Geographic subdivision ^Industry ^Location ;Physical data
    /Political subdivisions >  Production levels /Temperature
    /Test/ analysis method ^Treatment devices /  Use ; Volume/ mass
    measures
(DS)  Time period covered by data base: 01-01-73 TO 12-31-81
(TRM)  Termination of data collection:  Not anticipated
(FRQ)  Frequency of data collection or sampling: monthly ; annually
    ;0ther data bases are updated according to desires of individu
(NOB)  Number of observations in data  base: IJ/A. (Estimated)
(IMF)  Data base includes: Raw data/observations /Summary aggregate
    observations
(NTS)  Total number of stations or sources covered in  data  base: (N/A.)
(NCS)  No. stations or sources currently originating/contributing data:
or source include:
OTM ;Project
              Natio
             is no
(NQF)  Number of facilities covered in data base (source monitoring):  Plsnt location ;Street address ;SIC code ;   SCC
(CDE)  Pollutant identification data are: Other coding scheme
       Limitation/variation in data of which user should be aware
    nal Emissions Data System (USDS) coding scheme is used* There
    environmentally related data    associated with this system at
    Research Triangle Park/ NC.  Each state or municipality using the
    system will have  different pollutant parameters in its associated
    data base  and will be using different data quality assurance
    procedures.
                             125

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                             Accession No.   4504000922     (cont)

(AML)  Lab analysis based on EPA-approved or accepted methods? NO
(PRE)  Precisions Precision and accuracy estimates are not applicable*
(EOT)  Editting:  Sdit procedures used and documented.
(CBY)  Data collected by: Local agency 35 state & local agencies ;State
    agency 35 different state & local agencies
(ASY)  Data analyzed by; Local agency 35 different state & local
    agencies
    State agency  35 different state & local agencies
    SPA headquarters Office of Air Quality Planning and Standards
(IDL)  Laboratory identifications NO
(PR1)  Primary purpose of data collection:  Development of regulations
    or standards
(AUT)  Authorization for data collection: Statutory authorization  is P
    L 91-604 (Clean Air Act of 1970) and State     Implementation  Plans
    (SIPs)
(OMB)  Data collected/submitted using QMB-approved SPA reporting forms:
    NO*   Agencies not obligated to use this system.
(REP)  Form of available reports and outputs of data base: Publications
    Obtain-data directly from users
    Printouts on  request
    Machine-readable raw data
(NUS)  Number of  regular users of data base: 28 state and local
    agercies
(USP)  Current regular users of data base:  States
(CNF)  Confidentiality of data and limits on access: Limits on outside
    access for some data
(DLC)  Primary physical location of data: State agency
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: EPA software EIS/P&R (CDHS)
    MIDSM504000922 ;EPA hardware AH
(CHG)  Direct charge for non-EPA use: no outside use/access permitted
(UPDT)  Frequency of data base roaster file up-dat«: Other as needed by
    users
(RSS)  Related EPA automated systems ahich use data base: National
    Emissions Data System (JJEDS)
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    National Emissions Data System (NEDS)
(CMP)  Completion of form:
    J. Eosch
    OFCS EPA/(OAMR)/(QAQPS)/(MDAD)
    AD: Research  Triangle Park, NC 27711
    PH: (919) 541-5694
(DF)  Date of form completion: 01-06-83
(CNK)  Contact naine(s): Bosch/J«
(ROR)  Responsible Organization: Office of Air* Noise and
    Radiation.Office of Quality Planning and Standards.Konitorin
                             126

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                             Accession No.   4504000923

(DQ)   Date of Questionaire:  12-02-82
(NAM)  Kame of Data Base of  Model:  National Air Monitoring Stations
    Management Information  System
(ACR)  Acronym of Data Base  or Model:  NAMS/MIS
(MED)  Wedia/Subject of Data Base or Model: Air
(ABS)  Abstract/Overview of  Data Base or Model: The national  Air
    Monitoring Stations (NANS)  Management  Information  System contains
    detailed   information about the stations in the NAWS network and
    the  areas that they monitor*  The SAMS network consists  of  air
    monitoring stations that meet detailed  criteria regulating  the
    placement of stations, areas and pollutants monitored,  and
    measurement methods employed.  It does  not contain  any air
    quality data values/ but does identify  the   pollutants the  station
    is monitoring.
(C?C)  CONTACTS: Subject matter  Stan Sleva  (919) 541-5651  ;
    Computer-related  Andrea Kels
(DTP)  Type of data collection or monitoring: Conbination/Qther  data
    about the monitoring sites
(STA)  Data Base status: Operational/ongoing
(NPP)  Non-pollutant parameters included in the data base: Collection
    method ;Elevation ^Geographic subdivision ;Location ;  Political
    subdivisions /Population density >Samp ling date ;Site description
(OS)   Time period covered by data base: 06-01-79 TO 09-30-82
(TRK)  Termination of data collection: Anticipated 01/30/84
(FRQ)  Frequency of data collection or sampling: as needed
(NOB)  Number of observations in data base: 6200.(Estimated)
(NFI)  Estimated annual increase of observations in data base: 1000.
(INF)  Data base includes: site information for National Air  Monitoring
    Stations sites.
(NTS)  Total number of stations or  sources  covered in data base:  1367.
(NCS)  ro. stations or sources currently originating/contributing data:
    1200.
(NOF)  lumber of facilities  covered in data base (source monitoring):  (N
    /A.)
(GEO)  Geographic coverage of data  base: National
(LOG)  Data elements identifying location of station or source include:
    State ;County JSMSA ;City ;Coordlnates  latituce/longitude and UTM  ;
    urbanized area >SPA region JFIPS code
(FAC)  Data elements identifying facility include: Street address
(CDE)  Pollutant identification data are: Saroad parameter
(LIM)  Limitation/variation  in data of which user should be aware: Data
    quality assurance information not  applicable to this data base*
(EOT)  Fditting: Edit procedures used and documented.
(CBY)  Data collected by: state agency all  state agencies ;Regional
    office all Regional offices ;     EPA headquarters  Office of  Air
    Quality Planning and Standards
(ABY)  Data analyzed by: Regional office all Regional offices
    EPA headquarters Office of Air  Quality  Planning and Standards
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Trend assessment and
    development of regulations or standards
(AUT)  Authorization for data collection: No specific statutory


                             127

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                             Accession No.   4504000923     (cont)

    authorization for system.  System utilized to    carry  out
    responsibilities under section 319 of the Clean Air Act.
(OMB)  Data collected/submitted using OHB-approved EPA repotting forms:
    No / information collected by EPA personnel during site visits.
(REP)  Form of available reports and outputs of data base:  Printouts on
    request
    On-line computer
(NO'S)  Number of regular users of data base: 20
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Air Quality Planning and  Standards; Environmental
    Monitoring Systems Lab-Research Triangle Parky NC
    EPA regional offices
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  primary physical location of data: NCC/ONIVAC
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: Commercial software System 2000 ;UNIVAC
    1100/82
(CHG)  Direct charge for non-EPA use: Yes
(UPDT)  Frequency of data base master file  up-date: Other after
    establishment 1/1/81/ 2-3 per year as needed
(RDBEPA)  Related EPA data bases used in conjunction with this data  base
    SAROAD (Storage and Retrieval of   Aerometric Data)
(CMP)  Completion of form:
    Andrea Kelsey
    OFC: EPA/(OANR)/(OAQPS)/(MDAD)
    AD: Research Triangle Parky NC 27711
    PH: (919) 541-5582
(BF)  Date of form completion: 01-06-83
(CNM)  Contact name(s): Sleva,S.  >    Kelsey^A.
(COR)  Contact organization: Office of Air  Quality Planning and
    Standards
(ROR)  Responsible Organization: Office of  Air, Noise and
    Radiation.Office of Quality Planning and Standards.Monitorin
                             128

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                             Accession No.   4504000930

(DQ)   Date of Questionairej  12-02-82
(NAM)  Name of Data Base of  Model:  Northeast Corridor Regional  Modeling
    Project
(ACR)  Acronym of Data Base  or Model:  NECRMP
(MED)  Media/Subject of Data Base or ModeU  Air
(A8S)  Abstract/Overview of  Data Base  or Model: Surface air  quality and
    meteorological data from  monitoring sites in the Northeast are
    available from SARQAD.     These data are supplemented by NECRMP
    special study data.   NECRMP air quality data consist of surface
    hydrocarbon species   data and aircraft  hydrocarbon species,  ozone/
    nitrogen dioxide/  and sulfur dioxide samples.  Meteorological  data
    include pibal   winds aloft, upper-air temperature soundings/
    upper-air winds/   and sodar nixing heights.
(CTC)  CONTACTS;  Subject matter  Norman C. Possiel, Meteorologist ;
    Computer-related  Warren
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base  status: Discontinued
(GRP)  Groups of  substances  represented in Data Base: 7 criteria NAAQS
(NPP)  Non-pollutant parameters included in the data base: Temperature
    ;'dif}d direction ;Wind velocity ;Sodar mixing heights
(OS)   Time period covered by data base: 06-01-80 TO 09-30-80
(TRM)  Termination of data collection: Occurred OS/30/80
(FRQ)  Frequency  of data collection or sampling: hourly for  06/01/80
    thru 09/30/80
(N08)  Number of  observations in data  base:  BOO/000   values

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                             Accession No.   4504000930     (cont)

    Data is collected in support of oxidant control strategy
    development under CAA, Section 110«
(OMB)  Data collected/submitted using QMS-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    - NECRMP Aircraft Measurements -     Boston and vicinity,
    EPA-4SO/4-81-013, NECRMP Aircraft Measurements - New York  and
    Vicinity, EPA-450/4-81-Q12,     and NECRMP Upper-Air Meteorological
    Measurements/ EPA-450/4-81-019, a through h,
    Printouts on request
    Machine-readable raw data
    On-line computer
(NUS)  Number of regular users of data base: 40
(USR)  Current regular users of data base:  EPA regional offices
    EPA laboratories
    States
    Metro planning organizations
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: MCC/ONIVAC
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: Commercial software:  UNIVAC Utilities
(CHG)  Direct charge for non-EPA use: Noief
(UPDT)  Frequency of data base naster file  up-date: Other Final update,
    stucy completed.
(RSS)  Related EPA automated systems which  use data base: None
(RDBSPJL)  Related EPA data bases used in conjunction with this data base
    SARCAD
(CMP)  Completion of form:
    Warren P. Freas
    OFC: CAQPS/MDAD/AMTB
    AD: MD-14, U.S. SPA, Research Triangle  Park,  N.C. 27711
    PH: (919) 541-5522
(DF)  Date of form completion: 01-06-83
(NMAT)  Number of substances represented in data  base: 97
(KCAS)  Number of CAS registry numbers in data base: 72
(WAT)  Substances represented in data base:
    l,l,i~trichloroethane<71-55-         2,2,3-trimethyl-butane<464-06-2>
       6>                                2,2,4-triraethyl-pentane<540-84-l>
    1,2,3-trimethyl-benzene<526-73-8>    2,2,5-trimethyl-hexane<3522-94~9>
    l,2,4-trimethyl-benzene<95-63-6>     2,2-diraethyl-butane<75-83-2>
    l,2-diethyl-ben2ene<135-01-3>        2,3,4-trlmethyl-hexane<921-47-l>
    1,3,5-tr imethyl-benzene<10 8-67-8>    2,3-dime thyl-butane<79-29-8>
    1,3-C-diinethyl-cyclopentane          2,3-dimethyl-hexane<584-94-l>
    1,3-T-dimethy1-eyelopentane          2,3-dimethyl-pentane<565-59-3>
    l,3-butadiene<106-99-0>              2,4-dimethyl-hexane<589-43-5>
    l,3-diethyl-benzene<141-93-5>        2,4-dinsethyl-pentane
    l,4-diethyl-benzene<105-05-5>        2,5-dimethyl-hexane<592-13-2>
    l-butene<106-98-9>                   2-methyl-l-butene<563-46-2>
    l-hexene<592-41-6>                   2-methyl-l-pentene<763-29-l>
    l-methyl-cyclopentene<693-89-0>      2-methyl-2-pentene<625-27-4>
    l-pentene<109-67-l>                  2-methyl-heptane<592-27-8>


                             130

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                             Accession No.   4504000930
                  (cont)
    2-methyl-hexane<591-76-4>
    2-roethyl-pentane<107-83-5>
    3-ethyl-hexane<619-99-8>
    3-roethyl-l-butene<563-45-l>
    3-methyl-heptane<589-81-l>
    3-nethyl-hexane<589-34-4>
    3-methyl-pentane<96-14-0>
    4-methyl-l-pentene<691-37-2>
    C-2-butene
    C-2-hexene
    C-2-pentene
    C-3-raethyl-2-pentene
    C-4-methyl-2-pentene
    I-butane
    I-butene
    I-pentane
    I-propyl-benzene
    H+P-ethyl-toluene
    H-xylene<108-38-3>
    N-butane<106-97-8>
    N-decane<124-18-5>
    N-heptane<142-82-5>
    N-hexane<110-54-3>
    N-nonane
    N-octane
    N-pentane<109-66-0>
    N-propylbenzene<103-6S-l>
    0-ethyl-toluene<611-14-3>
    0-xylene<95-47-6>
    P-xylene<106-42-3>
    T-2-butene
    T-2-hexene
    T-2-pentene
T-4-methyl-2-pentene
acetaldehyde<75-07-0>
acetone<67-64-l>
acetylene<74-86-2>
alpha-pinene
benzene<71-43-2>
beta-phellandrene
beta-pinene
cyclohexane<110-82-7>
cyclopentane<287-92-3>
cyclopentene<142-29-0>
delta-3-carene
dimethy1-cyclohexane
ethane<74-84-0>
ethyl-benzene<100-41-4>
ethyl-cyclohexane<1678-91-7>
ethyl-cyclopentane<1640-89-7>
ethylene<74-85-l>
hydrocarbons
isoprene<78-79-5>
Hraonene<138-86-3>
raethyl-cyclohexane<108-87-2>
raethyl-cyclopentane<96-37-7>
roethyl-styrene<1319-73-9>
nitrogen dioxide<10102-44-0>
ozone
propane<74-98-6>
propene<115-07-l>
sec-butyl-benzene<135-98-8>
styrene<100-42-5>
sulfur dioxide<7446-09-5>
toluene<108-88-3>
triraethyl-cyclopentane
undecane<1120-21-4>
    T-3-aiethyl-2-pentene
(CAS)  CAS registry numbers of substances included in data base:  71-55-6
    ; 526-73-8;  95-63-6; 135-01-3;    108-67-8; 106-99-0; 141-93-5;
    105-05-5;  106-98-9; 592-41-6; 693-89-0;      109-67-1; 464-06-2;
    540-84-1;  3522-94-9; 75-83-2; 921-47-1; 79-29-8;       584-94-1;
    565-59-3;  589-43-5; 108-08-7; 592-13-2; 563-46-2; 763-29-1;
    625-27-4;  592-27-8; 591-76-4; 107-83-5; 619-99-8; 563-45-1;
    589-81-1;       589-34-4; 96-14-0; 691-37-2; 108-38-3; 106-97-8;
    124-18-5;  142-82-5;       110-54-3; 111-84-2; 111-65-9; 109-66-0;
    103-65-1;  611-14-3; 95-47-6;       106-42-3; 75-07-0; 67-64-1;
    74-86-2;  71-43-2; 110-82-7; 287-92-3;     142-29-0; 74-84-0;
    100-41-4;  1678-91-7; 1640-89-7; 74-85-1;  78-79-5;
    108-87-2;  96-37-7; 1319-73-9; 10102-44-0; 74-98-6;
    135-98-8;  100-42-5; 7446-09-5; 108-88-3;  1120-21-4
(CNM)   Contact name(s): Possiel,N.C.   ;    Freas/W.P.;
    Hartinez/E.L.
(ROR)   Responsible Organization: Office of Air/ Noise and
    Radiation.Office of Quality Planning and  Standards.Monitorin
                   138-86-3;
                  115-07-1;
                             131

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                             Accession No.   4505000902

(DQ)   Dete of Questionaire:  12-02-82
(NAM)  Fame of Data Base of  Model:  Energy Data Systera
(ACR)  Acronym of Data Base  or Models  EDS
(MED)  Media/Subject of Data Base or Model:  Other  No specific  media:
    Date related to fossil fuel combustion  taken  from Department  of
    Energy forms on the utility sector*
(ABS)  Abstract/Overview of  Data Base  or Model: The  data  base  stores
    fuel quality and consumption data/     plant  design and  operation
    data, emission regulations, compliance      information,  future
    megawatt capacities, diffusion  modeling results, and   air quality
    date.  Much of the data  in the  Energy Data Systera are     extracted
    froir, existing automated  data systems.   The Energy Data System   is
    unique, however, in that it combines these data  in  a  single data
    base   and thus provides a capability  to relate  emissions  data,
    fuel consumption  data,  and air quality data.
(CfC)  CONTACTS: Subject matter   Bob  Short  (919) 541-5611  >      SPA
    Office Dr. Al Wehe (919) 541-5610
(DTP)  Type of data collection or monitoring:  Point  source data
    collection Utility power plants (annual and monthly  reports)
(STA)  Data Base status: Qpdate terminated
(GRP)  Groups of substances  represented in  Data Base:  3 HID CAA
(NPP)  Kon-pollutant parameters included in the data base: Cost/economic
    data ;Flow rates ^Location ^Temperature ;Volume/mass  measures }
    utility boiler and stack parameters >utility  plant  annual  and
    monthly fossil fuel use  ;   individual  fuel procurements jfuel
    characteristics
(DS)   Time period covered by data base: 01-01-69  TO  12-30-78
(TRM)  Termination of data collection: Occurred 10/30/79
(FRQ)  Frequency of data collection or sampling:  Other  monthly,
    annually and as needed before termination
(NOB)  dumber of observations in data  base: 250000.(Estimated)
(MED  Estimated annual increase of observations  in  data  base: (N/A. )
(INF)  Data base includes: Raw data/observations  ^Summary aggregate
    observations
(NTS)  Total number of stations or sources  covered in data base:  1200.
(NCS)  No. stations or sources currently originating/contributing data:
    (H/JU)
(MOF)  lumber of facilities  covered in data base  (source  monitoring): 12
    00.
(GEQ)  Geographic coverage of data  base: National
(LQC)  Fata elements identifying location of station or source include:
    State jCounty ;SMS& jCity ;Town/township ;Street address
    ;Coordinates latitude/1
(FAC)  Data elements identifying facility  include: Plant  facility name
    ;Plant location ^Parent corp name  ^Parent  corp location  /     Street
    address
(CDE)  Pollutant identification data are: Uncoded
       Limitation/variation  in data of which user should  be  aware:  Regul
    ation data on State Implementation Plans     is  dated January 1,
    1976; boiler identification codes  recorded   as  on  original
    Department of Energy forms, therefore    inconsistencies  occur.
    Some quality assurance aspects not  applicable.


                             132

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                             Accession No.   4505000902      (cont)

(ADD)  Lab Audit:  Data not based on lab analysis.
(PRE)  Precision:  Precision and accuracy estimates are  not available
    Edit coordinate data checked to ensure  that the plant is  located  in
    county specified.
(CBY)  Data collected  by:  Self reporting utility plants ;0ther  federal
    agency Department  of Energy
(ABY)  Data analyzed by: Self reporting utility plants
    Other federal  agency Department of Energy
(IDL)  Laboratory  identification!  NO
(PR1)  Primary purpose of data collection:  Program evaluation
(PR2)  Secondary purpose of data collection:  data  used  to plan  air
    quality strategies
(AUf)  Authorization for data collection: No statutory  requirement:
    Department of  Energy mandated by Public Lau to collect this data
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: On-line
    computer
(NUS)  Number of regular users of data base:  no known current users
(USR)  Current regular users of data base:  EPA headquarter offices
    Stationary Source  Enforcement Division;  Office of  Air Quality
    Planning and Standards; Office of Planning of    Evaluation; Office
    of Radiation Programs
(CNF)  Confidentiality of data and limits on access: Limits on  access
    within EPA and outside agency for some   data
(DLC)  Primary physical location of data: NCC/ONIVAC
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: Commercial software System  2000
(CHG)  Direct charge for non-EPA use: yes
(OPDT)  Frequency  of data base master file  up-date: Other data  base
    update terminated
(RDBEPA)  Related  SPA  data bases used In conjunction with this  data  base
    National Emissions Data System (NEDS);   Storage and Retrieval of
    Aerometric Data (SAROAD)
(CMP)  Completion  of form:
    Bob Short
    OFC: EPA/(OANR)/(OAQPS)/(SASD)
    AD: MD-12-Research Triangle Park NC 27711
    PH: (919) 541-5611
(DF)  Date of form completion: 01-27-83
(NMAT)  Number of  substances represented in data base;  4
(NCAS)  Number of  CAS  registry numbers in data base: 3
(MAT)  Substances  represented in data base:
    nitrogendioxide<10102-44-0>          total suspended particulates (TSP
    sulfates                                <12789-66-l>
    sulfur dloxide<7446-09-5>
(CAS)  CAS registry numbers of substances included in data base: 10102-4
    4-0; 7446-09-5; 12789-66-1
(CNM)  Contact name(s): Short,8.  ;    WeherA.
(ROR)  Responsible Organization: Office of  Air/ Noise and
    Radiation.Office of Quality Planning and Standards.Monitorin
                             133

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                             Accession No.   4604000001

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Fuel Economy
(ACS)  Jcronyra of Data Base  or Model!  LDSFE
(MED)  fcedia/Subject of Data Base or Model:  Mobile  source  emissions
(ABS)Abstract/Overview of  Data Base  or Model: The Fuel Economy  Data
    Base contains product  line/ test  vehicle description/  and  fuel
    ecoromy  information generated for 1976  and succeeding  model
    years to calculate new vehicle fuel economy labels      and  to
    demonstrate manufacturers* compliance with corporate average  fuel
    ecoromy standards,
(CTC)  CONTACTS; Subject matter   Andrea Kaupert  (313)668-4329   ;
    Computer-related   John  Hendon (313)668-4383;    EPA Office  Robert
    Maxvell (313)668-4464
(DTP)  Type of data collection or monitoring: Non point source  data
    collection
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in Data Base: 7 criteria  NAAQS
(NPP)  Non-pollutant parameters included in  the data base:  Compliance
    data manufacturer /Production levels ^Sampling date ;  Temperature
    ;Test/analysis method /Volume/mass measures ;test vehicle
    description ;  inspection data
(BS)  Time period covered by data base: 09-01-74 TO 09-30-31
(TRM)  Termination of data collection: Hot anticipated
(FRO)  Frequency of data collection or sampling: as needed
(NOB)  Wumber of observations in data  base:  40000.(Estimated)
(NET)  Estimated annual increase of observations in data base:  8200*
(IMF)  Data base includes: Raw data/observations ;Summary  aggregate
    observations
(NTS)  Total number of stations or sources covered  in data  base:  10000.
(NCS)  No. stations or sources currently originating/contributing data:
    (H/A.)
(HOP)  Number of facilities  covered in data  base (source monitoring): (N
    /A.)
(GEQ)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or source  include:
    vehicle number ^vehicle  version ytest number
(FAC)  Data elements identifying facility include:  manufacturer name
(CDE)  Pollutant identification data are: Other coding  scheme
(LIM)  Limitation/variation  in data of which user  should be aware: Some
    differences in test procedure/      definitions/ and use of
    variables from model year to   model year.
(DPR)  Data collect./anal, procedures  conform to ORD guidelines:  Saraplin
    g plan documented Collection method documented ;Analysis method
    document QA procedures documented
(AML)  Lab analysis based on EPA-approved or accepted methods?  YES
(AUD)  Lab Audit: Lab audit  is satisfactory.
(PRE)  Precision: Precision  and accuracy estimates  exist but are  not
    included in data base.
(EDT)  Emitting: Edit procedures used  and documented.
(CBY)  Data collected by: EPA lab Motor Vehicle Emission Lab/Office of
    Mobile Source  Air Pollution Contro Manufacturers*  labs
(ABY)  Data analyzed by: EPA lab Motor Vehicle Emission Lab/Office of
                             \

                             134

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                             Accession No.   4604000001      (cont)

    Mobile Source  Air Pollution Control
(IDL)  Laboratory identification:  YES
(PRl)  Primary purpose of data collection!  Compliance or enforcement
(PR2)  Secondary purpose of data collection;  consumer information
(AUT)  Authorization for data collections  Statutory authorization  is  P
    L 94-163 (Energy Policy and Conservation   Act-EPCA)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(REP)  Form of available reports and outputs  of data base:  Publications
    Annual Gas Mileage Guide
    Unpublished raports Test Car List
    Vehicle fuel economy labels
(NUS)  Number of regular users of data base:  3 offices
(USR)  Current regular users of data bases  EPA headquarter  offices
    Office of Mobile Source Air Pollution     Control
    Other federal agencies
    Department of Transportation
    Department of Energy
(CSF)  Confidentiality of data and limits  on  access; Limits on outside
    access for some data
(DLC)  Primary physical location of datai  EPA lab
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software   MIDS:4604000001  /Michigan
    Teririnal System-Amdahl 470V/8 Hardware
(CHS)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Other continually
    as needed
(RDBEPA)  Related EPA data bases used in conjunction uith this data base
    Light-Duty Vehicle/Truck Certification Data Base
(ROB)  Non-EPA data bases used in conjunction aith this data base: Manuf
    acturers* Data Bases
(CM?)  Completion of forms
    John Hendon
    OFC: EPA/(GANR)/(OMSAPC)/(CD)/(MVEL)
    ADs 2565 Plymouth Road Ann Arbor/ MI 48105
    Pfi: (313)668-4393
(DF)  Date of form completion; 01-17-83
(NMAT)  Number of substances represented in data base:  3
(NC&S)  Number of CAS registry numbers in  data base: 12-02-82      1
(MAT)  Substances represented in data base:
    carton dioxide                      hydrocarbons
    carbon aonoxide<630-08-0>
(CAS)  CAS registry numbers of substances  included in data  base: 630-08-
    0
(CMM)  Contact name(s): Kaupert/A. ;    Hendon,J. ;    Maxwell,R.
(ROR)  Responsible Organization: Office of Air^ Noise and
    Radiation.Office of Mobile Sources,Certification Division*
                             135

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                             Accession No.   4604000002

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Light-Duty Vehicle/Truck
    Certification
(ACR)  Acronym of Data Base  or Model:  LDSCERT
(MED)  Media/Subject of Data Base or Model:  Mobile  source  emissions
(ABS)  Abstract/Overview of  Data Base  or Models  The Light-Duty
    Vehicle/Truck Certification   Data Base  contains certification
    engine family    Information, test vehicle description,  emissions
    test  data, and running  change  data generated for 1976 and
    succeeding model years to demonstrate the capability   of new motor
    vehicles and trucks to meet the emissions standards prescribed in
    the Clean Air Act.
(CTC)  CONTACTS: Subject matter   Robert Larson   (313) 668-4277   ;
    Computer-related    John Hendon (313) 668-4383;  SPA Office
    Robetert Maxwell  (313)  668-4464
(DTP)  Type of data collection or monitoring: Non point source data
    collection
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in Data  Base: 7 criteria SAAQS
(NPP)  Non-pollutant parameters included in  the  data base: Manufacturer
    ^Production levels ;Sampling date  ;Temperature  ;    Test/analysis
    method /Volume/mass measures ;test vehicle description ;
    inspection data
(DS)  Time period covered by data base: 09-01-74 TO 09-30-81
(TRM)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: as needed
(NOB)  Mumher of observations in data  base:  40000.(Estimated)
(INF)  Data base includes: Raw data/observations ;Summary  aggregate
    observations
(NTS)  Total number of stations or  sources covered  in data base: 10000.
(SCS)  Ko. stations or sources currently originating/contributing data:
    (N/A.)
(NOF)  Number of facilities  covered in data  base (source monitoring):  (N
    /A.)
(GSO)  Geographic coverage of data  base: National
(LOG)  Data elements identifying location of station or source include:
    vehicle number ^vehicle  version /test number
(FAC)  Data elements identifying facility include:  manufacturer name
(CDE)  Pollutant identification data are: Other  coding scheme
(LlM)  Limitation/variation  in data of which user should be  aware: Some
    differences in emission  standards, test  procedures, and  definition
    and use of variables  from model  year to model year.
(DPR)  Data collect./anal, procedures  conform to ORD guidelines: Samplin
  ;  g plan documented Collection method documented ^Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(ADD)  Lab Audit: Lab audit  is satisfactory.
(PRE)  Precision: Precision  and accuracy estimates  exist but are not
    Included in data base
(EOT)  Editting: Edit procedures used  and documented.
(CBY)  Data collected by: EPA lab Motor Vehicle  Emisson Lab/Office of
    Mobile Source  Air Pollution Control Manufacturers* lab


                             136

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                             Accession No.   4604000002     (cont)

(ASY)  Data analyzed by:  EPA lab Motor Vehicle Emission Lab/Office of
    Mobile Source  Air Pollution Control
(IDL)  Laboratory identification: YES
(AUT)  Authorization for  data collection:  Statutory authorization  is P
    L 88-206 and P L 95-95 (Clean Air Act-CAA)
(OMB)  Data collected/submitted using QMB-approved EPA reporting forms;
    QQ
(REP)  Form of available  reports and outputs of data base:  Publications
    "Model Year Certification Test Result"  published    annually in the
    Federal Register
    Unpublished reports Certification Summary Sheets
    Printouts on request
    Ma chine-re ad able raw  data
    On-line computer
(KUS) ' Wumber of regular  users of data base: 2 offices
(USR)  Current regular users of data bass:  EPA headquarter  offices
    Office of Mobile Source Air Pollution     Control; Office of Mobile
    Source and Koise Enforcement
(C??F)  Confidentiality of data and limits  on access: Limits on outside
    access for some data
(DLC)  Primary physical location of data:  EPA lab
(DST)  Form of data storage: Magnetic disc
CD AC)  Type of data access: MIDS: 4604000002 ;Michigan Terminal
    System-Amdahl 470V/8
(CKG)  Direct charge for  non-£PA use: yes
(UPDT)  Frequency of data base master file  up-date: Other continually
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    Fuel Economy Data
(RDB)  Non-EPA data bases used in conjunction with this data base: Manuf
    acturers" Comparable     Data Bases
(CMP)  Completion of form:
    John Hendon
    OFC: EPA/(OANR)/(OMSAPC)/(CD)/(MVEL)
    AD: 2565 Plymouth Road Ann Arbor/ Ml 48105
    PH: (313) 668-M383
(DF)  Date of form completion: 01-17-83
(NMAT)  Number of substances represented in data base: 5
(NCAS)  Number of CAS registry numbers in  data base: 12-02-82      1
(MAT)  Substances represented in data base:
    carbon dioxide                       hydrocarbons
    carbon monoxide<63Q-Q3-Q>            nitrous oxide
    diesel particulates
(CAS)  CAS registry numbers of substances  included in data  base: 630-08-
    0
(CNM)  Contact name(s): Larson/R. ;    Hendon/J. ;    Maxwell/R.
(ROR)  Responsible Organization: Office of  Air/ Noise and
    Radiation.Office of Mobile Sources.Certification Division.
                             137

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                             Accession  No.   4604000003

(DQ)  Date of Questionaire:  12-02-82
(HAM)  Name of Data Base of  Model:  Heavy-Duty Engine Certification  Data
(ACR)  Acronym of Data Base  or  Model: H0SCERT
(MED)  Media/Subject of Data Base or Model:  Mobile  source emissions
(ABS)  Abstract/Overview of  Data Base or  Model:  The Heavy-Duty  Engine
    Certification Data Base      contains  engine  family  information/
    test engine   description/  emissions  test data/ and engine  model
    data for emissions certification of heavy-duty     engines.
(CTC)  CONTACTS:  Subject matter   Tom Snyder  (313) 668-4442  ?
    Computer-related    John Hendon (313) 668-4383   }  EPA Office
    Robert Maxwell (313) 668-4464
(DTP)  Type of data collection  or monitoring: Non point source  data
    collection
(STA)  Data Base status: Operational/ongoing
(GRP)  croups of substances  represented in Data  Base: 7 criteria  NAAQS
(NPP)  Non-pollutant parameters included  in the  data base:  Compliance
    data ^Manufacturer production levels ;Sampllng date ;  test engine
    description
(DS)  Time period covered by data base: 01-01-78 TO 09-30-81
(TRM)  Termination of data collection:  Not anticipated
(F.RQ)  Frequency of data collection or  sampling: as needed
(NOB)  turnber of observations in data base:  600.(Estimated)
(NEI)  Estimated annual increase of observations in data base:  200.
(IHF)  Data base includes: Raw  data/observations >Sumraary aggregate
    observations
(NTS)  Total number of stations or sources covered  in data base:  600.
(JJCS)  No. stations or sources  currently  originating/contributing data:
    OI/A.)
(HOP)  Number of facilities  covered in  data base (source monitoring):  (N
    /A.)
(GEO)  Geographic coverage of data base:  National
(LOG)  Data elements identifying location of station or source  include:
    test engine number
(FAC)  Tata elements identifying facility include:  manufacturer
(CDE)  Pollutant identification data are: Other  coding scheme
(LIM)  Limitation/variation  in  data of  which user should be aware:  May
    be differences in emission  standards/    test procedures/
    definitions/ and use of  variables  from     model year to  model
    year.
(DPR)  Data collect./anal, procedures  conform to CRD guidelines:  Samplin
    g plan documented ^Collection method  documented ^Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods?  YES
(PRE)  Precision: Precision  and accuracy  estimates  exist but  are  not
    included in data base
(EOT)  Editting; Edit procedures used  and documented.
(CBY)  Data collected by: manufacturers
(ABY)  Data analyzed by: EPA lab Motor  Vehicles Emission
    Laboratory/Office and Mobile    Source Air Pollution Control
    manufacturers
(IDU  Laboratory identification: YES
(PR1)  Primary purpose of data  collection: Compliance or enforcement


                             138

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                             Accession Ho.   4604000003      (cont)

(AUT)  Authorization for data collection:  Statutory authorization  is  P
    L 95-95 (Clean Air Act-CAA)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    "Model year Certification Test Results" published   annually in the
    Federal Register
(NUS)  Number of regular users of data base: 1 office
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Mobile Source Air Pollution     Control
(CNF)  Confidentiality of data and limits  on access: Limits on outside
    access for some data
(DLC)  Primary physical location of data:  EPA lab
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: Michigan Terminal System-Amdahl 47QV/8
    Hardware
(CHG)  Direct charge for non-EPA use; yes
(UPDT)  Frequency of data base master file up-date: Other intermittently
(ROB)  Non-EPA data bases used in conjunction with this data base: Manuf
    acturers* Certification  Data Base
(CMP)  Completion of form:
    John Hendon
    OFC: EPA/(QANR)/(QMSAPC)/(CD)/{MVEL)
    AD: 2565 Plymouth Road, Ann Arbor, HI  48105
    PH: (313) 668-4383
(DF)  Date of form completion: 01-17-83
(NMAT)  Number of substances represented in data base:  5
(NCAS)  Suraber of CAS registry numbers in  data base: 12-02-82      1
(MAT)  Substances represented in data base:
    carbon dioxide                      nitrous oxide
    carbon monoxide<630-08-0>           smoke
    hydrocarbons
(CAS)  CAS registry numbers of substances  included in data  base: 630-08-
    0
(CN«)  Contact name(s): Snyder/f. >    Hendon,J.  }    Maxwell/R.
(RQR)  Responsible Organization: Office of Air/ Noise and
    Radiation,Office of Mobile Sources.Certification Division.
                             139

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                             Accession No.   4604000004

(DQ)  Date of Questionaire: 12-02-82
(MAM)  Fame of Data Base of Model: Motorcycle Certification Data
(ACR)  Acronym of Data Base or Model" MQCSRT
(MED)  Media/Subject of Data Base or Model: Mobile source emissions
(ABS)  Abstract/Overview of Data Base or Model: the Motorcycle
    Certification Data Base contains   engine family information test
    bike description emission    test data/ and motorcycle model for
    emissions     certification of motorcycles,
(CTC)  CONTACTS: Subject matter   Thomas Snyder  (313) 668-4442    ?
    Computer-related   John Hendon (313) 668-4383  ;  SPA Office John
    Bozek (313) 668-4244
(DTP)  Type of data collection or monitoring: Non point source data
    collection
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances represented in Data Base: 7 criteria NAAQS
(NPP)  Non-pollutant parameters included in the data base: Compliance
    data /Manufacturer jProduction levels ^Sampling date / test bike
    description
(DS)  Time period covered by data base: 01-01-78 TO 09-30-81
(TRM)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: as needed
(NOB)  lumber of observations in data base: 200.(Estimated)
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources covered in data base: 200.
(RCS)  No.- stations or sources currently originating/contributing data:
    (»/*••)
(NOF)  dumber of facilities covered in data base (source monitoring): (N
• •'.• AA.)  • '   •    ..  --. •: •;•• .  .      ..'-.••.••-       '       ••           ..  :
(GEO)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or source include:
    motorcycle engine identification
(FAC)  Data elements identifying facility include: manufacturer
(CDE)  Pollutant identification data are: Other coding scheme
(LIM)  Limitation/variation in data of which user should be aware: There
    may be differences in emission standards/   test procedures
    definitions/ and use of variables from model     year to model year.
(DPR)  Data collect./anal, procedures conform to CRD guidelines: Saroplin
    g plan documented /Collection method documented /Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(PRE)  Precision: Precision and accuracy estimates exist but are not
    included in data base
(EOT)  Editting: Edit procedures used but undocumented.
(COY)  Data collected by: Self reporting motorcycle manufacturers
(ASY)  Data analyzed by: Self reporting motorcycle manufacturers
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Compliance or enforcement
(AUT)  Authorization for data collection: Statutory authorization is P
    L 95-95 (Clean Air Act-CAA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ


                             140

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                             Accession No.   4604000004      (cont)

(REP)  Form of available reports and outputs of data base:  Publications
    "Model Year Certification Test Result"  published    annually  in the
    Federal Register
(NUS)  Kumber of regular users o< data base:  1  office
COSR)  Current regular users of data base:  EPA  headquarter  offices
    Office of Mobile Source Air Pollution    Control
(CNF)  Confidentiality of data and limits on access: Limits on  outside
    access for some data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: Michigan Terminal System-Amdahl 470y/8
    Hardware
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file  up-date:  Other intermittently
(RDB)  Non-EPA data bases used in conjunction with this data base:  Manuf
    acturers* Certification Data Bases
(CMP)  Completion of form:
    Jonh Hendon
    OFC: EPA/(OANR)/(QMSAPC)/(CD)/(MVEL)
    AD: 2565 Plymouth Road  Ann Arbor, MI 48105
    PH: (313) 668-4383
(DF)  Date of form completion: 01-17-83
(NMAT)  Number of substances represented in data base:  2
(NCAS)  Number of CAS registry numbers in data  base: 12-02-82      1
(MAT)  Substances represented in data base:
    carbon tnonoxide<630-08-0>            hydrocarbons
(CAS)  CAS registry numbers of substances Included in data  base:  630-08-
    0
(CNM)  Contact name(s): Snyder,T.  ;   Hendon,J. ;    8ozek,J.
(RQR)  Responsible Organization: Office of  Air, Noise and
    Radiation.Office of Mobile Sources.Certification Division.
                             141

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                             Accession No.   4604000005

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model:  applications for Certification
(ACR)  Acronym of Data Base or Model; CERTAPPL
(MED)  Media/Subject of Data Base or Model;  Mobile source emissions
(ASS)  Abstract/Overview of Data Base or Model: This data base  contains
    hard copy applications for     certification of light-duty  vehicles
    and trucks/ heavy-duty engines, or motorcycles.  Descriptions of
    intended product  Lines, test facilities and equipment/  fuels and
    lubricants, test procedures, and other  information  pertinent  to
    emissions certification are also included.
(C?C)  CONTACTS;  Subject matter   Andrew Kaupert  (313) 668-4329   ;
    Computer-related    John Hendon (313)668-4383  } EPA Office
    Robert Maxwell (313) 663-4464
(DTP)  Type of data collection or monitoring;  Non point source  data
    collection
(STA)  Data Base status; Operational/ongoing
(GRP)  Groups of substances represented in  Data Base; 7 criteria  NAAQS
(NPP)  Non-pollutant parameters included in the data base;  Compliance
    data ;Manufacturer /Production levels jSite description  j
    Test/analysis method /engine family ;test  vehicle or engine
    descriptions
(DS)  Time period covered by data base; 01-01-72 TO 09-30-81
(T8M)  Termination of data collection; Not  anticipated
(FRQ)  Frequency of data collection or sampling: annually
(NOB)  lumber of observations in data base:  1400.(Estimated)
(NEI)  Estimated annual increase of observations in data base:  225.
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources  coverec in data base:  50.
(KCS)  Wp. stations or sources currently originating/contributing data:
    40 ,
(NOF)  dumber of facilities covered in data base (source monitoring): (N
    /A.)
(GEQ)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source  include:
    engine family }evaporative emission family
(FAC)  Data elements identifying facility include: manufacturer
(COR)  Pollutant identification data are: Uncoded
•(Lin)  Limitation/variation in data of which user should be  aware: Sone
(DpR)  Data collect./anal, procedures conform  to QRD guidelines:  Samplin
    g plan documented ^Collection method documented ^Analysis method
    document 
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                             Accession No.   4604000005      (cont)

(PR1)  Primary purpose of data collection:  Compliance or  enforcement
(AUT)  Authorization for data collection:  Statutory authorization  is  P
    L 95-95 (Clean Air Act-CAA)
(DM8)  Data coll acted/submitted using OMB-approved EPA  reporting  forms:
    QQ
(RSP)  Form of available reports and outputs of data base:  Microfiche
    copies of applications available from  National   Technical
    information Service (NTIS)
    hard copy
(NUS)  Number of regular users of data base:  2 offices
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Mobile Source Air Pollution     Control; Office  of Mobile
    Source and Noise Enforcement
(CNF)  Confidentiality of data and limits  on access: Limits on  outside
    access for some data
(DLC)  Primary physical location of data:  SPA lab
(DST)  Form of data storage: Original form (hardcopy, readings)
(DAC)  Type of data access: National Technical Information  Service
    (NTIS)
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Annually
(RDBEPJO  Related EPA data bases used in conjunction uith this  data base
    Light-Duty Vehicle/Truck Certification? Fuel Economy
(RDB)  Non-EPA data bases used in conjunction with this data  base: Manuf
    acturers" Data Bases
(CMP)  Completion of form:
    Johr Bendon
    OFC: EPA/(OANR)/(OMSAPC)/(CD)/(MVEL)
    AD: 2565 Plymouth Road, Ann Arbor, MI  48105
    PH: (313) 668-4383
(DF)  Date of form completion: 01-17-83
(NMIT)  Number of substances represented in data base:  5
(NCAS)  Number of CAS registry numbers in  data base: 12-02-82      1
(MAT)  Substances represented in data base:
    carbon dioxide                      hydrocarbons
    carbon monoxide<630-08-0>           nitrous oxide
    diesel particulates
(CAS)  CAS registry numbers of substances  included in data  base:  630-08-
    0
(C$lO  Contact name(s): Kaupert,A.j    Hendon,J. ;    Maxuell,R.
(ROR)  Responsible Organization: Office of Air, Noise and
    Radiation.Office of Mobile Sources.Certification Division.
                             143

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                             Accession Ho.   4605000002

(DQ)  Date of Questionaire:  12-02-82
(WAM)  Name of Data Base of  Model!  Fuel Economy Light-Duty  Vehicle
    Device Testing
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model:  Emissions  light-duty
    vehicles /Mobile source  emissions
CABS)  Abstract/OverviaH of  Data Base  or Model: Data base consists  of
    data collected in the evaluation  of fuel  economy and emission
    reduction devices   submitted to EPA for evaluation*  The  data
    consists of hydrocarbons/ carbon monoxide/  carbon dioxide/  and  some
    nitrous oxides and evaporative hydrocarbon  measurements.
(CTC)  CONTACTS:  Subject matter   Thomas Penninga  (313)  668-8477;
    EPA Office  Emission Con
(DTP)  Type of data collection or monitoring:  Combination/Other mobile
    source:  vehicle constant volume testing (CVS)  type testing
(STA)  Data Base  status: Operational/ongoing
(GRP)  Groups of  substances  represented in Data Base: 7 criteria NAAQS
(NPP)  Non-pollutant parameters Included in  the data base:  Collection
    method ^Concentration measures ^Location /Manufacturer  /
    Sampling date ;Site description ;Temperature jTest/analysis method
    ;  Treatment  devices ; fuel economy /time of test /length of test }
    vehicle Height ;instrument readings ;vehicle engine settings ;
    distance driven ;analyzer response ^calibration range jvolurae flow
    rate
(DS)  Time period covered by data base: 01-01-70 TO 12-15-82
(TRM)  Termination of data collection: Not anticipated
(FRQ)  Frequency  of data collection or sampling:  daily
(NOB)  Number of  observations in data  base:  1700.(Estimated)
(ME1)  Estimated  annual increase of observations in data base:  200.
(INF)  Data base  includes: Raw data/observations ;Summary aggregate
    observations  /Reference  data/citations
(NTS)  Total number of stations or sources covered  in data  base: (N/A.)
(NCS)  Mo. stations or sources currently originating/contributing data:
    (N/A.)
(NQF)  Kumber of  facilities  covered in data  base (source monitoring):  (N
    /A.)
(LOG)  Data elements identifying location of station or source include:
    N/A
(FAC)  Data elements identifying facility include:  N/A
(CDE)  Pollutant  identification data are: Uncoded
(LIM)  Limitation/variation  in data of which user should be aware:  The
    data is not from sites or location  but  just different  measurements
    of how individual vehicles respond to different devices.
(DPR)  Data collect./anal, procedures  conform  to ORD guidelines: Samplin
    g plan documented Collection method documented ^Analysis  method
    document QA procedures  documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision  and accuracy estimates  exist but are not
    included in data base
(EDT)  Fditting:  Edit procedures used  but undocumented*
(CBY)  Data collected by: EPA lab Motor Vehicle Emissions Test


                             144

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                             Accession No.   4605000002     (cont)

    Laboratory
(ABY)  Data analyzed by:  EPA lab Motor Vehicle Emissions Test
    Laboratory
(IOL)  Laboratory identification:  ¥ES
(PR2)  Secondary purpose  of data collection;  Program evaluation
(AUT)  Authorization for  data collection:  No  statutory requirement:
    Evaluate fuel economy and emission reduction     devices sent  to EPA
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available  reports and outputs  of data base:  Publications
    Technology Assessment and Evaluation Branch Reports
    Unpublished reports Internal Memorandums
(NUS)  Number of regular  users of data base:  5
(HSR)  Current regular users of data base:  Motor Vehicle Emissions Test
    Laboratory
(CNF)  Confidentiality of data and limits on  access: Limits on access
    within EPA and outside agency for some  data
(DLC)  Primary physical location of data:  EPA lab
(DST)  Form of data storage: Original form (hardcopy, readings)
(DAC)  Type of data access: Manually ;EPA software   MIDS:4604000001
(CHG)  Direct charge for  non-EPA use: no
(UPDT)  Frequency of data base master file up-date:  Other no routine
    up-dates
(CMP)  Completion of form:
    Thomas J. Penninga
    QFC: EPA/(OANR)/(OMSAPC)/(8CTD)
    AD: 2565 Plymouth Road Ann Arbor, MI
    PH: (313) 668-8477
(DF)  Date of form completion: 12-15-82
(MMAT)  Number of substances represented in data base: 6
(IfCAS)  Number of CAS registry numbers in data base: 12-02-82      1
(MAT)  Substances represented in data base:
    carton dioxide                       nitrous oxide
    carbon monoxide<630-08-0>            sulfates
    hydrocarbons                         total suspended particulates
(CAS)  CAS registry numbers of substances included in data base: 630-08-
    0
(CNM)  Contact name(s): Penninga,T.
(COR)  Contact organization: Emission Control Techonlogy Division
(ROR)  Responsible Organization: Office of Air, Noise and
    Radiation.Office of Mobile Sources.Emission Control Tecnnolo
                             145

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                             Accession No.   4605000003

(DQ)  Date of Questionaire:  12-02-82
(NAH)  Kame of Data Base of Model: Emission Factor-Mobile Sources
(ACR)  Acronym of Data Base or Model:  Mone
(MED)  Media/Subject of Data Base or Model: Mobile source emissions
(ABS)  Abstract/Overview of Data Base or Model:  In-use passenger  car
    and light duty truck    emission results for various tests*   Some
    vehicles     have had restorative maintenance performed.
(CTC)  CONTACTS:  Subject matter   Lois Platte  (313)668-4306  ;
    Computer-related  Howard Bradsher-Fredrick (313) 668-4365  EPA
    Office lois Platte (313) 668-4306
(DTP)  Type of data collection or monitoring; Combination/Other  Vehicle
    emissions
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances represented in  Data  Base: 7 criteria  NAAQS
(MPP)  fon-pollutant parameters included in the  data base: general
    vehicle information such as year model, make of car ;     city and
    highway fuel economy
CDS)  Time period covered by data base: 01-01-72 TO 12-15-82
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: annually
(NOB)  Number of observations in data base: 10000. (Estimated)
(NEI)  Estimated annual increase of observations in data base:  1500.
(INF)  Data base includes: Raw data/ observations
(NTS)  Total number of stations or sources  covered in data base:  (N/A.)
(MCS)  Ho. stations or sources currently originating/contributing data:
(NOF)  Number of facilities covered in data base (source monitoring):  (R
    /A.)
(GEQ)  Geographic coverage of data base:  National
(CDE)  Pollutant identification data are: Uncoded
(LIM)  Limitation/variation in data of which user should be aware:  None
(DPR)  Data collect. /anal, procedures conform to ORD guidelines:  Samplin
    g plan documented ^Collection method documented jAnalysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision and accuracy estimates are not available
(EOT)  Editting: Edit procedures used but undocumented.
(CBY)  Data collected by: Contractor Automobile Testing Lab/ Automobile
    Environmental  Systems, Inc., EG&G, Hamilton Test Labs
(ABY)  Data analyzed by:  SPA lab Motor vehicle laboratory
(IDL)  Laboratory identification: YES
(AUT)  Authorization for  data collection: So statutory requirement;
    Data collection requirement is    to provide data program and
    regulation support.
(OMB)  Data collected/ submitted using OMB-approved EPA reporting  forms:
    158-R-0106
(REP)  Form of available  reports and outputs of data base:  Publications
    Various contractor reports
    On-line computer
(NUS)  Number of regular  users of data base: 15
(USR)  Current regular users of data base: EPA laboratories


                             146

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                             Accession So.   4605000003      (cent)

(CNF)  Confidentiality of data and limits on access:  No limits  on
    access to  data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage:  Magnetic disc
(DAC)  Type of data access:  EPA software Micro Database on  Michigan
    Terminal System >EPA hardware Amdahl 470
(CHG)  Direct  charge for non-EPA use: Yes
(UPDT)  Frequency of data base master file  up-date:  Weekly
(CMP)  Completion of form:
    Howard Bradsher-Frederick
    OFC: Office of Mobile Source Air Pollution Control,
    Emission Control Technology Division
    AD: 2565 Plymouth Rd., Ann Arbor/ Michigan
    PH: (313)668-4336
(DP)  Date of  form completion: 12-15-82
(NMAT)  Number of substances represented in data base:  3
(NCA5)  Number of CAS registry numbers in data base:  1
(MAT)  Substances represented in data base:
    carbon monoxide<630-08-0>            nitrous oxide
    hydrocarbons
(CAS)  CAS registry numbers of substances included in data  base: 630-08-
    0
(CNM)  Contact name(s): Platte/L. }    Bradsher^H,    ;    Platte/L.
(ROR)  Responsible Organization: Office of  Air/ Noise and
    Radiation.Office of Mobile Sources.Emission Control Technolo
                             147

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                             Accession No.   4605000004

(DO)  Date of Questionaire:  12-02-82
(SAM)  Same of Data Base of  Model:  Vehicle  Fuels Evaluation  Testing
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model: Emissions  light-duty
    vehicles ;Moblle source  emissions
(A8S)  Abstract/Overview of  Data Base  or Model:  Data  base consists of
    data collected in the  evaluation  of the effect of  various  fuels
    and fuel     additives on vehicle  emissions.  The data consists
    of hydrocarbons, carbon  monoxide/  carbon dioxide, nitrous oxides/
    some particulate, and some evaporative  emission data.
(CTC)  CONTACTS: Subject matter   Thomas Penninga  (313)  668-8477 }
    EPA Office  Emission Con
(DTP)  Type of data collection or monitoring:  Combination/Other mobile
    sources
(STA)  Data Base status; Operational/ongoing
(GRP)  Groups of substances  represented in  Data  Base: 7 criteria NAAQS
(NPP)  Non-pollutant parameters included in the  data  base: Collection
    method /Concentration measures ^Location /Manufacturer ;
    Sampling date ;sita description ;Teraperature ;Test/analysis method
    ;  Treatment devices ;fuel economy }time of  test  ?length of test }
    vehicle Height ;instrufflent readings ^vehicle engine settings ;
    distance driven }analy?.er response ^calibration range ;volume flow
    rate
(DS)  Time period covered by data base: 01-01-70 TO 12-15-82
(T8M)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: weekly
(NOB)  Number of observations in data  base: 700.(Estimated)
(f?EI)  Estimated annual Increase of observations in data  base:  50.
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations ^Reference  data/citations
(NTS)  Total number of stations or sources  covered in data base: (N/A.)
(SCS)  Ko. stations or sources currently originating/contributing data:
    (N/A.)
(NOF)  Number of facilities  covered in data base (source  monitoring):  (N
    /A.)
(LOG)  Data elements identifying location of station  or source  include:
    N/A
(FAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant identification data are: Uncoded
(LIM)  Limitation/variation  in data of which user should  be  aware: Data
    is not from sites or locations/ but     different measurements of
    individual vehicles.
(DPR)  Data collect./anal, procedures  conform to ORD  guidelines: Samplin
    g plan documented Collection method documented ^Analysis method
    document QA procedures documented
(A$L)  Lab analysis based on EPA-approved or accepted methods?  YES
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision  and accuracy estimates exist  but are not
    included in data base
(EOT)  Editting: Edit procedures used  but undocumented.
(Ca¥)  Data collected by: SPA lab Motor Vehicle  Emissions Test
    Laboratory


                             148

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                             Accession No.   4605000004     (cent)

(ABY)  Data analyzed by:  EPA lab Motor Vehicle Emissions Test
    Laboratory
(IDL)  Laboratory Identification:  YES
(AUT)  Authorization for  data collection: No statutory requirement:
    Data collection requirement is    to support Agency standards  and
    regulations
(OMB)  Data collected/submitted using QMS-approved EPA reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base:  Publications
    Techonology Assessment and Evaluation Branch Reports
    Unpublished reports Internal Memorandums
(HUS)  dumber of regular  users of data base: 5
(USR)  Current regular users of data base:  SPA headquarter  offices
    Office of Mobile Source Air Pollution    Control
(CNF)  Confidentiality of data and limits on access: Limits on access
    within EPA and outside agency for some   data
(DLC)  Primary physical location of data:  EPA lab
(DST)  Form of data storage: Original form  (hardcopy, readings)
(DAC)  Type of data access: Manually
(CHG)  Direct charge for  non-SPA use: no
(UPDT)  Frequency of data base master file  up-date: Other So updates
    done
(CMP)  Completion of form:
    Thon-as J. Penninga
    OFC: EPA/(OANR)/(OMSAPC)/(ECTD)
    AD: 2565 Plymouth Rd. Ann Arbor/ MI
    PH: (313) 668-8477
(DF)  Date of form completion: 12-15-82
(NMAT)  Number of substances represented in data base: 5
(NCAS)  Number of CAS registry numbers in data base: 1
(HAT)  Substances represented in data base:
    carbon dioxide                       nitrous oxide
    carbon monoxide<630-08~0>            total suspended particulates
    hydrocarbons
(CAS)  CAS registry numbers of substances included in data  base: 630-08-
    0
(CNM)  Contact name(s): Penninga/T.
(COR)  Contact organization: Emission Control Technology Division
(RQR)  Responsible Organization: Office of  Air, fioise and
    Radiation.Office of Mobile Sources.Emission Control Technolo
                             149

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                             Accession No.   4605000005

(DQ)  Date of Questionaire:  12-02-82
(NJiM)  $ame of Data Base of  Model:  Light-Duty Diesel  Testing
(ACS)  Acronym of Data Base  or  Model:  None
(MED)  ^edia/Subject of Data Base or  Model:  Air ;Emissions  diesei
    exhaust ;Moblle source emissions
(ABS)  Abstract/Over view of  Data Base or  Model: The data  base consists
    of data collected for several  projects involving  diesei engines.
    These projects included  prototype vehicles/ prototype engines,  and
    advanced    modifications*   The data  consists of  hydrocarbons,
    carton   monoxide, carbon dioxide, nitrous oxides,  particulate  and
    some sulfate  measurements.
Test/analysis method
    ;  Treatment  devices ;fuel  economy jtime of test  ^length of test ;
    vehicle weight ;instrument  readings ;vehicle engine settings }
    distance driven ;analyzer response ;calibration range ;volume  flow
    rate
(BS)  Time period covered by data base: 01-01-70 TO 12-15-82
(T8M)  Termination of data collection: Not anticipated
(FRQ)  Frequency  of data collection or sampling: weekly
(NOB)  Wumber of  observations in data base:  1500.(Estimated)
($EI)  Estimated annual increase of observations in data  base: 400.
(INF)  Data base  includes: Ra»  data/observations ;Summary aggregate
    observations  ^Reference  data/citations
(NTS)  total number of stations or sources covered in data  base:  (N/A.)
(NCs)  No. stations or sources  currently  originating/contributing  data:
    (N/A.)
(NOF)  Fumber of  facilities  covered in data  base (source  monitoring):  (N
    /A.)
(LOG)  Data elements identifying location of station  or source include:
    N/ A
(FAC)  Data elements identifying facility include: N/A
(CDS)  Pollutant  identification data  are: Uncoded
(LIM)  Limitation/variation  in  data of which user should  be aware:  The
    data is not from sites or locations but  different measurement  of
    individual vehicles.
(DPR)  Data collect./anal, procedures conform to DRD  guidelines:  Saraplin
    g plan documented Collection method documented ^Analysis method
    document QA procedures documented
(AMD  Lab analysis based on EPA-approved or accepted methods? YES
(AlfD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision  and accuracy estimates exist  but are  not
    Included in data base.
(EDT)  Emitting:  Edit procedures used but undocumented.
(CBY)  Cata collected by: EPA lab Motor Vehicle Emissions Test


                             150

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                             Accession No.   4605000005      (cont)

    Laboratory
(ABY)  Data analyzed by:  EPA lab Motor Vehicle  Emissions  Test
    Laboratory
(IOL)  Laboratory identification:  YES
(PR1)  Primary purpose of data collection:  Development  of regulations
    or standards
(PR2)  Secondary purpose  of data collection:  Program evaluation
(AUT)  Authorization for  data collection:  No statutory  requirement:
    Data collection requirement is    to support  Agency standards
(OMB)  Cata collected/submitted using OMB-approved EPA  reporting  forms:
    QQ
(SEP)  Form of available  reports and outputs of data base:  Publications
    Technology Assessment and Evaluation Branch Reports
    Unpublished reports Internal Memorandums
    Printouts on request
(NUS)  Number of regular  users of data base:  5
(USR)  Current regular users of data base:  EPA  headquarter offices
    Office of Mobile Source Air Pollution    Control
    Motor Vehicle Emissions Laboratory
(CSF)  Confidentiality of data and limits on access: Limits on access
    within EPA and outside agency for some  data
(DLC)  Primary physical location of data:  SPA lab
CDST)  Form of data storage: Original form (hardcopy/ readings)
(DAC)  Type of data access: Manually
(CHG)  Direct charge for  non-EPA use: no
(UPDT)  Frequency of data base master file up-date: Other no up-dates
(RDBSPA)  Related EPA data bases used in conjunction uith this data  base
    Emission Factors Data; Light-Duty Vehicle Fuels   Testing
(CMP)  Completion of form:
    Thorcas J. Penninga
    OFC; £PA/(OANR)/{aMSAPC)/(ECTD)
    AD: 2565 Plymouth Rd  Ann Arbor MI
    •PH: (313) 668-8477
(DF)  Date of form completion: 12-15-82
(NMAT)  Number of substances represented in data  base:  6
(NCAS)  Number of CAS registry numbers in data  base: 12-02-82      1
(MAT)  Substances represented in data base:
    carbon dioxide                       nitrous  oxide
    carbon monoxide<630-08-0>            sulfates
    hydrocarbons                         total  suspended  particulates
(CAS)  CAS registry numbers of substances included in data base:  630-08-
    0
(CNM)  Contact name(s): Penninga/T.
(COR)  Contact organization: Emission Control Technology  Division
(RQR)  Responsible Organization: Office of Air, Noise and
    Radiation.Office of Mobile Sources.Emission Control Technolo
                             151

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                             Accession No.   4605000006

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Prototype Light-Duty Vehicle  Testing
(ACR)  Acronym of Data Base or Model: None
(MED)  teedia/Subject of Data Base or Model:  Emissions  light-duty
    vehicles ;Mobile source emissions
(A8S)  Abstract/Overview of Data Base or Model:  Data base consists  of
    date collected on prototype vehicles developed by government and
    outside manufacturers.  The data consists of  hydrocarbons/  carbon
    monoxide, carbon  dioxide/ nitrous oxides/  some particulate, some
    sulfates    and some miscellaneous data*
(CTC)  CONTACTS: Subject natter   Thomas Penninga  (313)  668-8477 >
    EPA Office  Emission Con
(DTP)  Type of data collection or monitoring: Combination/Other
    light-duty vehicles
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances represented in  Data  Base: 7 criteria NAAQS
(NPP)  Non-pollutant parameters included in the  data base:  Collection
    method ^Concentration measures /Inspection data ;Location  y
    Manufacturer /Sampling  date /Site description /Temperature
    /Test/analysis method ;   Treatment devices  ;fuel economy  /time of
    test /length of test /   vehicle weight  /instrument readings
    >vehicle engine settings ;   distance driven ;analy2er response
    ^calibration range ;volume flow rate
(DS)  Time period covered by data base: 01-01-70 TO 12-15-82
(TRM)  Termination of data  collection: Hot  anticipated
(FRQ)  Frequency of data collection or sampling: Meekly
(NOB)  Number of observations in data base:  1500.(Estimated)
(NED  Estimated annual increase of observations in data  base: 200.
(INF)  Data base includes:  Raw data/observations ;Summary aggregate
    observations ^Reference data/citations
(NTS)  Total number of stations or sources  covered in data base: (N/A.)
(NCS)  So. stations or sources currently originating/contributing data:
    (N/A.)
(NOF)  Number of facilities covered in data base (source  monitoring): 
-------
                             Accession  No.   4605000006      (cont)

    Laboratory
(IDL)  Laboratory Identification:  YES
(PR1)  Primary purpose of data collection:  Development  of  regulations
    or standards
(PR2)  Secondary purpose of data collection:  Technology development
(AUT)  Authorization for data collection:  No statutory  requirement:
    Data collection requirement  supports  Agency regulations and
    standards*
(OMB)  Data collected/submitted using OMB-approved  EPA  reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    Technology Assessment and Evaluation Branch Reports
    Unpublished reports Internal Memorandums
(NOS)  lumber of regular users of data  base:  5
(USE)  Current regular users of data base:  Motor Vehicles  Emission Test
    Laboratory
(CMF)  Confidentiality of data and limits  on access: Limits on access
    within EPA and outside agency for some  data.
(DLC)  Primary physical location of data:  SPA lab
(DST)  Form of data storage: Original form (hardccpy, readings)
(DAC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: no
(UPBT)  Frequency of data base master file up-date: Other  no regular
    updates
(CMP)  Completion of form:
    Thomas J. Penninga
    OFC: £PA/(QANR)/(OMSAPC)/(ECTD)
    AD: 2565 Plymouth Rd. Ann Arbor, HI
    PH: (313) 668-8477
(DF)  Date of form completion: 12-15-82
(NMAT)  Number of substances represented in data base:  6
(NCAS)  Number of CAS registry numbers  in  data base: 12-02-82     1
(MAT)  Substances represented in data base:
    carbon dioxide                      nitrous oxide
    carbon monoxide<630-08-0>           sulfates
    hydrocarbons                        total suspended particulates
(CAS)  CAS registry numbers of substances  included  in data base: 630-08-
    0
(CNM)  Contact name(s): Penninga,T.
(COR)  Contact organization: Emission Control Technology Division
(RQR)  Responsible Organization: Office of Air, Noise and
    Radiation,Office of Mobile Sources,Emission Control Technolo
                             153

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                             Accession No.   5202000102

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Operation and Maintenance File
(ACR)  Acronym of Data Base  or Model:  0 & M FILE
(MED)  Kedla/Subject of Data Base or Model: Effluents wastesater
    treatment plants
(ABS)  Abstract/Overview of  Data Base  or Model:  The Operation and
    Maintenance File consists  of performance evaluations  of wastewater
    treatment     plants.  These evaluations determine  whether the
    plarts are operated and  maintained effectively   and  the extent  to
    which they comply with the terras     (P L 92-500, Section 210)  of
    Federal Construction grants.  Inspection frequency  is  related  to  a
    state's requirements arid types of  operational    problems
    encountered,
(CTC)  CONTACTS:  Subject matter   Lehn Potter  {202)426-8730 ;
    Computer-related  Anita  M. Wi
(DTP)  Type of data collection or monitoring: Point source data
    collection wasteuater  treatment plants
(STA)  Data Base status: Discontinued
(GRP)  Croups of substances  represented in  Data  Base: 11 conventional
    water
(NPP)  Non-pollutant parameters included in the  data base:  Compliance
    data Concentration measures ;Cost/economlc  data ?      Flow rates
    ;lnspection data ^Location ^Political subdivisions  }   Treatment
    devices inspection date ;RSGION STATE  AND CITY
(DS)  Time period covered by data base: 01-01-76 TO 09-30-81
(TRM)  Termination of data collection: Not  anticipated
(FHQ)  Frequency of data collection or sampling: annually  jas needed
    ;0ther annual depends  on state programs
(NOB)  dumber of observations in data  base: 15000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: 5000.
(INF)  Data base includes: Raw data/observations ;Summary  aggregate
    observations
(NTS)  Total number of stations or sources  covered in data base: 10000
    (or more.)
(NCS)  Wo. stations or sources currently originating/contributing  data:
    1 (to )4 (times per facility.)
(NOF)  Number of facilities  covered in data base (source monitoring): 10
    000 (or more.)
(GEO)  Geographic coverage of data base: National
(LOO  Data elements identifying location of station or source include:
    State /City jToun/township ;Project Identifier
(FAC)  Data elements identifying facility include: Plant facility  name
    jPlent location ^Parent  corp name  ;SIC  code  } NPDES ^Program
    identifier
(CDE)  pollutant identification data are: Storet parameter
(LIM)  Limitation/variation  in data of which user should be aware:  Each
    inspection contains time period of laboratory analysis.  File
    contains one or more   inspection  for a facility.  Some laboratory
    analyses   use EPA-approved methods,, but not all.
(DPR)  Data collect./anal, procedures  conform to QRD guidelines: Collect
    ion method documented >QA procedures documented
(ADD)  Lab Audit: Data not based on lab analysis.


                             154

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                             Accession No.   5202000102      (cont)

(PRE)  Precision:  Precision and accuracy estimates are  not available.
(5DT)  Emitting:  Edit procedures used and documented.
(CBY)  Data collected by:  Self reporting treatment plants-effluent data
    ?State agency State Environmental  procedural data) ;Regional
    office Surveillance and Analysis/ or Operation and    Maintenance/
    Water Division (some samples procedural data)
(AB¥)  Data analyzed by: Self reporting effluent data
    Contractor lab contracted by permittees-effluent data
    EPA headquarters Municipal Construction Division/ Office of
    Water Program Operations
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Compliance or enforcement
(PR2)  Secondary  purpose of data collection:  Program evaluation
(AUT)  Authorization for data collection: Statutory authorization  is  P
    L 92-500, Section 210 (Clean Water Act-CHA)
(OMB)  Data collected/submitted using OMB-approved SPA  reporting forms:
    153-R-0035
(REP)  Form of available reports and outputs of data base: Printouts  on
    request
    Machine-readable raw data
(NUS)  Number of  regular users of data base:  30
(USR)  Current regular users of data base:  EPA headquarter offices
    Municipal Construction Division/ Office of    Hater Program
    Operations
    SPA regional  offices
    Other federal agencies
    General Accounting Office
    Consulting Firms
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: NCC/IBM
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: EPA software SPSS and local programs
    MIDS:5202000102 ;E?A hardware IBM 370/168
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Quarterly
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    NEEDS File
(CMP)  Completion of form:
    Anita H. Winston
    QFC: EPA/(QWWM)/(QWPO)/(FRD)
    AD: 401 M St., S.W, Washington, D.C. 20460
    PH: (202)426-4443
(DF)  Date of form completion: 01-17-83
(NMAT)  Number of substances represented in data base:  8
(NCAS)  Number of CAS registry numbers in data base: 2
(HAT)  Substances represented in data base:
    dissolved oxygen                     pHosphorus<7723-14-0>
    fecal coliform                       residual chlorine
    nitrogen<7727-37-9>                  suspended solids
    oxygen demand
    PH


                             155

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                             Accession No.   5202000102     (cont)

(CAS)  CAS registry numbers of substances included in data base: 7727-37
    -9; 7723-14-0
(CNM)  Contact name(s): Potter,L. ;    Winston,A.H.   ;    Potter,L.
(ROR)  Responsible Organization: Office of  Water.Office of ilater
    Programs Operations.Municipal Construction Division.
                             156

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                             Accession No.   5204000101

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model;  Spill Prevention Control  and
    Countermeasure
(ACR)  Acronym of Data Base  or Model:  SPCC
(NED)  Kedia/Subject of Data Base or Model:  Other no media sampled:
    data collected includes  media to which  oil    or hazardous
    materials have been discharged.
(ABS)  Abstract/Overview of  Data Base or Model:  A non-transportation
    related oil facility must    prepare a  Spill Prevention  Control  and
    Countermeasure (SPCC)     plan (40 CFR  112).  If a  facility
    discharges more than 1,000 gallons oil  in one spill event,  or  two
    lesser amounts within one year/ the facility oust file a report*
    SPCC data     base "tracks" inspections,  compliance or
    non-compliance of  facilities, investigations of spills.  Stores
    pertinent     Information on both oil and hazardous spills,
    regardless of source. The data base contains those materials  which
    have  been discharged and reported to EPA.
(CTC)  CONTACTS:  Subject matter   Jean Wright  (202) 245-3057;
    Computer-related  Jerry  Boras
(DTP)  Type of data collection or monitoring: Combination/Other
    historic data collected  from regional personnel,     regional
    facility inspections and spill occurrences.
(STA)  Data Base  status: Discontinued
(NPP)  Non-pollutant parameters Included in the data base: Compliance
    date ^Inspection data ;spill location ;amount of spill /    date  01
    spill ^responsible official ;response information ^control
    information
(OS)  Time period covered by data base: 01-01-75 TO 09-30-81
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency  of data collection or sampling: as needed
(NOB)  number of  observations in data base:  40000(Actual)
(NEI)  Estimated  annual increase of observations in data base:  10000
(INF)  Data base  includes: Raa data/observations
(NTS)  Total number of stations or sources  covered in data base: 40000
    (or less)
(NCS)  Mo. stations or sources currently originating/contributing  data:
    (varies with  number of spills)
(NOF)  Number of  facilities  covered in data base (source monitoring): 25
    000
(GEO)  Geographic coverage of data base: National
(LGC)  Data elements identifying location of station or source  include:
    State ;Courity ;City ;Town/township ^Street address  ^Coordinates
    (optional field) Project identifier
(FAC)  Data elements identifying facility include: Plant facility  nane
    >Plent location ;Parent  corp name ^Parent corp location ;    Street
    address ;NPDES ^Program  Identifier ;NPDES if available
(CDE)  Pollutant  identification data are: CAS registry  number
    Other coding  scheme CAS  numbers:  partial only-now  required
(LIM)  Limitation/variation  In data of which user should be aware: Limit
    ation of data base is due to the   various levels of input  by
    regions, i.e. Regions 7      and 9 do not input at all.  Emergency
    spill response   actions have National  Contingency  Plan as  guide.


                             157

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                             Accession Ho.   5204000101      (cont)

(AHL)  Lab analysis based on EPA-approved or accepted methods?  YES
(AUD)  Lab Audit:  Data not based on lab analysis.
(PRE)  precision:  Precision and accuracy estimates are  not available
    Edit edit and load check for logical consistency,, but cannot  make
    judgements about information submitted.
(C8Y)  Data collected by: Regional office Regions  I, II,  III,  IV,  V,
    VI, VIII, X
(A8Y)  Data analyzed by:  Regional office Regions I,  II, III,  IV,  V, VI,
    VIII, X
    EPA headquarters Oil  and Special Materials Control  Division
(IDL)  Laboratory Identification: NO
(PR2)  Secondary purpose  of data collection; Trend assessment
(AUT)  Authorization for  data collection: Statutory  authorization  is  40
    CFR 112
(OMB)  Data collected/submitted using OMB-approved EPA  reporting  forms:
    QQ
(REP)  Form of available  reports and outputs of data base:  Printouts  on
    request
    On-line computer
(KUS)  lumber of regular  users of data base: 15
(USR)  Current regular users of data base: EPA headquarter offices Oil
    and Special Materials Control Division
    SPA regional offices
(CNF)  Confidentiality of data and limits on access: No limits  on
    access to data
(DLC)  Primary physical location of data: NCC/IBM
(DST)  Form of data storage: Magnetic disc
(QAC)  Type of data access: Commercial software SYSTEM  2000 ;EPA
    software   MIDS:5204000101 } EPA hardware IBM  370/168
(CHG)  Direct charge for  non-EPA use: yes
(OPOT)  Frequency of data base master file up-date:  Other as  needed
    (daily possible)
(PD8EPA)  Related EPA data bases used in conjunction aith this  data base
    Oil and Hazardous Materials-Technical   Assistance  Data System
    (GHf-TADS)
(CMP)  Completion of form:
    Jean H. Wright
    OFC; BPA/(OMWM)/(OMPO)/(OSMCD)
    AD: 401 M St, S* Washington, DC 20460
    PH: (202) 245-3057
(OF)  Date of form completion: 01-14-83
(NMAT)  Number of substances represented in  data base:  744
(NCAS)  Number of CAS registry numbers in data base: 135
(MAT)  Substances represented in data base:
    f5 fuel oil                          1299 ammoniumnitrate
    l/2-ethanediol<107-21-l>             1299 cO,  c!2,  phosgen
    1,2-propanediol<57-55-6>             1299 detergent
    100 viscosity                        1299 fertilizer
    1299  OOOQOOOQOOOOOhzSO              1299 fertilizer 28%
    1299 28%n fertilizer                  1299 mhl
    1299 28%nitrogen fert                1299 nitrogen  corapoun
    1299 LP gas                          1299 pesticide


                             158

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                         Accession No.   5204000101
                  (cont)
1299 phthalic
1299 santicizer 711
2,4-dichlorophenoxyacetic acid (2/
   4-d)<94-75-7>
2,4-ainitrophenol<51-28-5>
2-(2-butoxyethoxy) ethanol
   <112-35-6>
2-6-dinitrilenndinor
2-ethyl hexanol
20 IN machine oil
22% H2S04 11% T102
37% caustic soda
4-anino dlphenyl
59% H2504 18%Rn03
610-p
HF-H203
HN03
ac 20 ceraent
acetaldehyde<75-07-0>
acetaminophen
acetic acid<64-19-7>
acetic anhydride<108-24-7>
acetone<67-64-l>
acetophenoae<98-85-2>
acic
acid base
acid mine drain*
acid-waste soln
actolein
acrylic polymers
aerylonitrile<107-13-1>
adiptic
air spill
alaphatic hydrocargon
alcohol
alcohol thalate
algae
alkaline benzene
alkc gloss enamel
alkyd resin
alkyl benezene
alnh2S04
alpha methylstyrene
alpha radiation
alum
aluninum oxide
aluminum sulfate<10043-01-3>
alyacide
ammonia nitrate
amrncnia<7664-41-7>
ammonium carbonate<506-87-6>
ammonium hydroxide<1336-21-6>
ammonium nitrate
ammonium sulfate
analine
anhy NH3
anhydrous ammonia
anhydrous hydrogen
anhydrous sodium acetate<127-09-3>
aniline<62-53-3>
animal oil
animal tallou
animal waste
anti-nock
antifreeze
antimony trioxide<1309-64-4>
argon gas
aromatic 150
arsenlc<7440-38-2>
asbestos<1332-21-4>
askeral poison
asphalt
atrazine<1912-24-9>
automatic transmiss
bagon
barium chloride
barium chloride<10361-37-2>
barsol
basagran
battery acid
bauxite
bentonite/amine coat
benzene<71-43-2>
benzenemethanol<100-5l-6>
benzoll wastewater
bilge uaste oil
bisthenol a
black coaling water
black liquor
black oil
black soapy matrial
black substance
black vater
bleaching liquor
blue dye
blush color
boxite
bravo
brine
bromine<7726-95-6>
brown oil
brown substance
bunker c
butadiene
                         159

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                         Accession No.   5204000101
                  
butyl acrylate
butyl-mercaptan
butylceliulose
by product tar
cal hypochlorite
calcium carbonate
calcium phosphate
calcium sulfate
cambium & chips
can coating
caralld-imd
carbartl
carbofuran<1563-66-2>
carbon 14<14762-75-5>
carbon black
carbon disulflde<75-15-0>
carbon powder
carbon tetrachloride
carbonate solids
carbonated carbon
caustic
caustic acid
caustic material
caustic potash
caustic soda
caustic wash solution
cheese waste
chemical mixture
chemical salts
chemical waste
chemicals
chlordane<57-74-9>
chloride
chlorinated diphenyl<1336-36-3>
chlorine bleach
chlorine gas
chlorine tank cars f
chlorine<7782-50-5>
chlorne
chlcrobutadiene
chlcroform<67-66-3>
chlcromethane<74-87-3>
chlorophenolice bios
chloroprene<126-99-8>
chlorosulfonic acid<7790~94-5>
cholrextol
chrcline
chrornate
chromic acld<7738-94-5>
chromic oxide
chromiura<7440-47-3>
clarco-na-4(cleaning)
class b Insecticide (tenik)
co2
coal
coal & coke dust
coal and water
coal fines
coal fires
coal oil
coal slurry
coal tar<8007-45-2>
coaltar oil
cob ex
coconut oil
coherex dust rep
coke dustin soln.
coke oil
c okeove ncondensa
compressed gas
concrete
concrete & batter!
condensate
coning oil
cooling
cooling oil
cooper acetate
copper etching fl
copper sulfate
corn
corn starch
corrosion inhibi
corrosion* pipeline
corrosive liquid
cracker stock
creosote<8021-39-4>
cresoi<1319-77-3>
cresylic acld<1319-77-3>
crotonaldehyde<4170-30-3>
crude
euroene
cupric chloride<7447-39-4>
cutting oil
cyanide Haste
cyanide<57-12-5>
cyanogen broraide<506-68-3>
cyanuric chlorid
cyclohexanone<108-94-l>
debris
defective valves
                         160

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                         Accession No.  5204000101
                  (cont)
defclient or herbici
detergent
di-bromopentane
di-n-octyl phthalate<117-84-0>
dt-r-propylamina
diamine acid
dicamba<1918-00-9>
dichlopotropene 30%
dichlorobenzene<25321-22-6>
dichloroethylether
dicMoromethane<75-09-2>
dichloropropene
dicyclopentadiene
diesal-gasoline
diesel oil
diethanol amine
diisobutyleue
diisocyanate
diisononal phthalate-diheylphth
diisophenls methane
dimethylamine<124-40-3>
dinitrochlorobenzotr
dirty water
distillary slop
distillate
distyrl penteryt
disystron
dithane M45
divton-tebuthior
dfflt
dowtherm
dry ash
dry lime
dye
dyfonate
dylcx
effuent water
emulsified oil
emulsion solvent
engine waste oil
enriched uranium fuel
epichlorohydrin<106-89-8>
epotus
espesol
ethanol
ether sulfate
ethyl acrylate<140-88-5>
ethyl chloride<75-00-3>
ethyl hexa amine
ethyl othio chlorofo
ethyl phosphorothioc
ethylbenzene<100-41-4>
ethylene
ethylene dibromide (edb)<106-93-4>
ethylene dichloride<107-06-2>
ethylene gas
ethylene glycol
ethylnitrate acid/cr
explosives
f-310 fuel additive
18253 starter
fatty alcohol
ferric sulfate<10028-22-5>
ferrous sulfate<7720-78-7>
fertilizer
fish oil
flammable liquid
flexographic ink
flyash
foam
formaldefcyde<50-00-0>
formic acid<64-18-6>
freon
furadan
furfural<98-01-l>
gas additive
gas oil mixture
gasoline
glay pottery
glyoxyl
grease
green dye
grinding compound
grinding coolant
guthion<86-50-0>
halloprene
hazardous material &
hcl
hcl/chlorobenzene
heating oil
heavy fuel oil
heavy gas oil
heavy solids
heptane
herbicides
hexachlorocyclopentadiene<77-47-4>
hexamethylene diamin
hexamethylene tetram
hexamethylenedia
hexane
hydraulic
hydraulic oil
hydrazine<302-01-2>
hydrocarbon resin
                         161

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                            Accession No.  5204000101
                  (cont)
   hydrochloric acid<7647-01-0>
   hydrocyanic acid<74-90-8>
   hydrofluoric acid<7664-39-3>
   hydrogen chloride
   hydrogen cyanide<74-90-8>
   hydrogen peroxide
   hydrogen sulfide<7783-06-4>
   Industrial waste oil
   ink chemical
I   inorganic materials
1   insecticide
   insulating oil/ ele
   ipa
   iron oxide
   isobutyl alcohol<78-83-l>
   isocyanate & polyol
   isodecyl
   isodecyl alcohol
   isopar-h
   isopentane
   Isopropanol
   isopropyl
   isopropyl acetat
   isopropyl alcohol
   Jet juel
   jpSfuel
   kaolin & peanut
   kaolin clay slurry
   kerosene
   knitting machine oil
   koh
   krovar(herbicide)
   lacquer
   lasso
   latex
   latex 7060{styrene-b
   latex liquid plastic
   latex paint
   latex solid
   lead sulfide<1314-87-0>
   lean olll
   light oil
   lime
   llmperil no. 18
i   lintox(pesticide)
   liq fiberglass
   Hq nitrogen fertili
   liq sulfur
   lig. poly ester
   liquid alum
   liquid ammonia
•  liquid caustic
liquid chlorine
liquid dye stuff
liquid ethylene
liquid fertilizer
liquid hydrogen
liquid latex
liquid nitrate
liquid nitrogen
liquid oxygen
liquid plastic
liquid sulfur
lithiun bromide
Iitronfl615
Ip gas
lp tank
Ipd-liquid petroleum
lube & waste oil
lube oil additiv
lubrication oil
m-xylene<108-38-3>
machine oil
magnacite
magnesium chloride s
malathlon<121-75-5>
raaleic anhydride<109-31-6>
marine diesel
natural gas
mcpp
medium gas oil
melamine
menthlsothiocyanate 20%
meth acrylic acid
methane-C4
methanol<67-56-l>
methorayl<16752-77-5>
methoxytetraglyc
methyl alcohol
methyl chloride
methyl ethyl ketone (mek)<78-93-3>
methyl isobutyl ketone<108-10-l>
methyl methacrylate<80-62-6>
methyl methanylate
methyl parathion<298-00-0>
methylbroraide/glycol
methylcyclopantadien
raethylene chlori
raetnyl chloro/or
meto la chlore
metyl vinylpyridine
mik
milky substance
mineral
                            162

-------
                         Accession No.  5204000101
                  (cont)
mineral oil
mineral spirits
mineral springs
miscellaneous black
miscellaneous indig
miscellaneous Indus
miscellaneous Iron h
miscellaneous latex
miscellaneous liquid
miscellaneous paint
mixed chemicals
mixed oils
mm a
moist  cupperous
mollasses
molten sulfur
raonochlorobenzen
morpholine
motor oil
mud & silt
muddy water
muriate of potash
muriatic acid
n-butyl alcohol<71-36-3>
n-propyl alcohol
n-propylamine
na2c03
na3p04
nalc
naocl
naoh
naphtha
naphthalene<91-20-3>
naphthalere bipheryl
nat gas well
natural gas
natural gas condensate
navy distillate
neoptently glycol dr
nh3n03
nhn03fertilizer
nickel nitrate<13138-45-9>
nit.fery
nitrate<14797-55-8>
nitric acid<7697-37-2>
nitrobenzene<98-95-3>
nitrogen fert
nitrogen furtilizer  solution
nitrogen soln
nitrogen tetroxide<10544-72-6>
no. 1 fuel
no. 2 fuel
no. 3 oil
no. 4 fuel
no. 6 fuel
non-toxic chaos
nuclear material
nutrients
o-toululene diam
oil and chemicals
oil and rubber
oil base paint
oil paint
oil sludge
oil/Mater emulsion
oleum
org phos pest
organic  solvent
organic chemical
organic peroxides
organic waste
ortho toluene diamin
ortno toluidine
other oil
other paint
other quench oil
other sludge
other tallou
other: linseed oil
other: paraffin
P-xylene<106-42-3>
paint
paint & cust remov
paint dryer
paint pigment
paint resin
paint stripper
paint thinner
pale oil
palm oil
paraffin wax
parathiorK 56-38-2>
paraxylene
particulates
pcb-askerol
pcb-inertin
pcb<1336-36-3>
per
pentachlorophenol<87-86-5>
perchloroethylene/oi
perchloroethylene<127-18-4>
peroxide
pesticides
pesticides-methyl br
                         163

-------
                         Accession No.   5204000101
                  {cont}
petrolatum
petroleum wastes
phem>l<108-95-2>
phenolic resin
pheny] ether
phenylmercuric
phero]
phosphate
phosphate fertilizer solution
phosphate rock
phosphate Haste
phosphoric acid<7664-38-2>
phosphorous/ white(yellow)
phosphorus chloride
phosphorus oxychloride<10025-87-3>
phosphorus pentoxide
phosphorus sulfide<1314-80-3>
phosphorus trichloride<7719-12-2>
phosphorus<7723-14~0>
phosphous gas
photogen
phthalic anhydride<85-44-9>
pickle liquor
pickle uovor
pig iron emission
pigment dye
pine oil
plasticizer
plating solution
plb
polethylene (high de
polychlorinated biphenyls (PCBs)
polyester resin
polyethylene & polys
polymer solids
polypropylene glycol
polyvinyl chloride
potash
potasium carbonate
potessium cyanide<151-50-8>
potassium endothal
potassium hydroxide<1310-58-3>
potassium nitrate
potassium nitrite
potassium permanganate<7722-64-7>
powdered lime
powdered milk
primicide
processing oil
propane
propane gas
propionic acid<79-09-4>
proplyene oxide<75-56-9>
propylene
propylene glycol
prowl
pulverized coal
purple dye
pyridine<110-86-l>
pyronal pcb
qermanium oxide
quench oil
radioactive waste
ran soybean soapstoc
red dye
refined petroleum
release oil
residual oil
residues
resin oil
road oil
rock crushing sediroe
rock phosphate & yel
rock salt
roofing tar
rosin sizing
salt water
savin-residual
sewage
shampoo soap
sheet bacteria
silicon oil
silicone fluid
silt
sinazine<122-34-9>
slop oil
sludge
soap concentrate
soap detergent
soapy water
soda ash
sodini thiocyanate
sodium bichromate<10588-01-9>
sodium chloride
sodium cyanide<143-33-9>
sodium hydrosulfide<16721-80-5>
sodium hydroxide<1310-73-2>
sodium hypochlorite<7681-52-9>
sodium lauryl ether
sodium nitrate
sodium nitrit€<7632-00-0>
sodium phosphate^ dibasic
   <7558-79-4>
sodium sulfate
                         164

-------
                         Accession No.   5204000101
                  (cont)
solid waste
soluble oil
solvent
soybean oil
soybeans
spent acid
spent carbon
spent caustic
spent glycol
styrene butadine
styrene monomer
styrene<100-42-5>
suds
sugar solution
sulfanite
sulfonated tallow
sulfonic acid
sulfur
sulfur dioxide<7446-09-5>
sulfur mercaptan
sulfuric acid<7664-93-9>
sulfurous acid (h2S03)<7782-99-2>
sulfurousdichlor
superphosphoric acid
synthetic heating oi
t-butyl benzene
tallow
tar
tar bottoms
tenic
terephthalic acid
tetraethyl lead<78-00-2>
tetraethylene glycol
tetrahydofuran<109-99-9>
tetralene
tetratonic phophorus<12185-10-3>
textile size
tinting material
titanium dioxide
toluene diisocyanate<26471-62-5>
toluene<108-88-3>
toluenediamine<25376-45-8>
tordon weed killer
tower sludge oil
tojcaphene<8001-35-2>
transformer
transformer oil
transformer sludge
transmission fluid
trash
tree pollen
trichloroethane<25323-89-l>
trichloroethene<79-01-6>
trichloroethyiene<79-01-6>
triethylene glycol
t rime thy 1 phosphite
trimethylchlorosilan
tris araino
trisnoylthenylph osphite
trisonyephlnal p
turbine oil
turpentine
tytanium oxide
unichrom dip
unknown oil
unlnown substance
unrefined oil
untreated waste
uran
uranium hexafluride
uranyl
urea
urea-ammonium nitrate
vanadium<7440-62-2>
varnish
varnish printing ink
varsol
vegetable oil
vinyl acetate<108-05-4>
vinyl chloride<75-01-4>
wash oil
wash water
waste
waste alcohol
waste anti-freeze & mineral oil
waste chemicals
waste oil
waste paint & xylene
wastewater
wastewater sline
water emulsion clean
water soluable oil
westflex hd solvent
whey
white clay slurry
white noxous fluid
white substance
witebenzol
wolman salts(copper
xyiene tocvene
xyiene<1330-20-7>
yellow substance
ziloil se 150
zinc chloride<7646-85-7>
                         165

-------
                             Accession No.  5204000101     (cont)

    zinc<7440-66-6>                      zncro4
    zirconium-radiat                     zylene
(CAS)  CAS registry numbers of substances included in data base: 107-21-
    1; 57-55-6; 94-75-7; 51-28-5;     112-35-6; 75-07-0; 64-19-7;
    108-24-7; 67-64-1; 98-86-2; 107-02-8;     107-13-1; 10043-01-3;
    7664-41-7; 506-87-6; 1336-21-6; 127-09-3;       62-53-3; 1309-64-4;
    7440-38-2; 1332-21-4; 1912-24-9; 10361-37-2;      71-43-2;
    100-51-6; 7726-95-6; 123-86-4; 1563-66-2; 14762-75-5;   75-15-0;
    56-23-5;  57-74-9; 1336-36-3; 7782-50-5; 67-66-3; 74-87-3;
    126-99-8; 7790-94-5; 7738-94-5; 7440-47-3; 8007-45-2; 8021-39-4;
    1319-77-3; 1319-77-3; 4170-30-3; 7447-39-4; 57-12-5; 506-68-3;
    108-94-1; 117-84-0; 1918-00-9; 25321-22-6; 75-OS-2; 124-40-3;
    106-89-8; 140-88-5; 75-00-3; 100-41-4; 106-93-4; 107-06-2;
    10028-22-5; 7720-78-7; 50-00-0; 64-18-6; 98-01-1; 86-50-0; 77-47-4;
    302-01-2; 7647-01-0; 74-90-8; 7664-39-3; 74-90-8; 7783-06-4;
    78-83-1;       1314-87-0; 108-38-3; 121-75-5; 108-31-6; 67-56-1;
    16752-77-5;    78-93-3; 108-10-1; 80-62-6; 298-00-0; 110-91-8;
    71-36-3;  107-10-8;    91-20-3; 13138-45-9; 14797-55-8; 7697-37-2;
    98-95-3;  10544-72-6;      106-42-3; 56-38-2; 1336-36-3; 87-86-5;
    127-18-4; 108-95-2; 7664-38-2;      10025-87-3; 1314-80-3;
    771S-12-2; 7723-14-0; 85-44-9; 151-50-8;       1310-58-3;
    7722-64-7; 79-09-4; 75-56-9; 110-86-1; 122-34-9;      10588-01-9;
    143-33-9; 16721-80-5; 1310-73-2; 7681-52-9; 7632-00-0;
    7558-79-4; 100-42-5; 7446-09-5; 7664-93-9; 7782-99-2; 78-00-2;
    109-99-9; 12185-10-3; 26471-62-5; 108-88-3; 25376-45-8; 8001-35-2;
    25323-89-1; 79-01-6; 79-01-6; 7440-62-2; 108-05-4; 75-01-4;
    1330-20-7; 7646-85-7; 7440-66-6
(CNM)  Contact narae(s): Wright,J. ;    Borassa,J.
(CfjR)  Contact organization: Response Operations Branch/Emergency
    Response
(ROR)  Responsible Organization: Office of Solid Haste and Emergency
    Response.Office of Emergency and Remedial Respons
                             166

-------
                             Accession Ho.   5204000102

(DQ)  Date of Questionaires  12-02-82
(NAM)  Eame of Data Base of  Model:  Oil and  Hazardous
    Materials-Technical Assistance  Data System
(ACR)  Acronym of Data Base  or Model;  OHM-TADS
(MED)  fedia/Subject of Data Base or Model: No specfic  media  Did  not
    'sample* any media-searched open  literature   for already published
    data
(ABS)  Abstract/Overview of  Data Base  or Model: Designed to  include  all
    information pertinent to  emergency spill response  efforts.
    Includes wide variety of physical, chemical, biological,
    lexicological,  and    commercial  data.  Greatest emphasis placed
    on deleterious   effect  these materials have on water quality.   Ttf,
    file     comprises a compendium of information available  in
    open literature.
(CTC)  CONTACTS: Subject matter  Jean  H. Uright  (202)  245-3057    j
    Computer-related  Charle
(DTP)  Type of data collection or monitoring; Combination/Other
    collected via contractor from open literature.
(STA)  Data Base status: Operational/ongoing
(RPP)  Kon-pollutant parameters included in the data  base: Biological
    data >Chemical data ^Disposal ^Exposure data ^Health effects  ;
    Industry ;Manufacturer ^Physical  data ;Test/analysis method ;
    Shipping and handling data ;FlaraabIlity ;Explosiveness
(DS)  Time period covered by data base; 01-01-72 TO 09-30-81
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: as needed
(NOB)  lumber of observations in data  base: 1100 hazardous
    materials(Actual)
(NEI)  Estimated annual increase of observations in data base: 50
(INF)  Data base includes: Raw data/observations ^Summary aggregate
    observations ^Reference  data/citations
(NTS)  Total number of stations or  sources  covered in data base;  (N/A)
(NCS)  No. stations or sources currently originating/contributing data:
    (N/IO
(NOF)  Number of facilities  covered in data base (source monitoring): (N
    /A)
(GEO)  Geographic coverage of data  base: International
(LOC)  Data elements identifying location of station or source include:
    N/A
(FAC)  Data elements identifying facility include: Plant location
    JParent corp name ?SIC code
(CDE)  Pollutant identification data  are: CAS registry  number
    Other coding scheme
(LIM)  Limitation/variation  in data of which user should be auare: Limit
    ed to 1,050 hazardous materials -  in    process of
    expansion/update.  Quality of data collection and     analysis not
    applicable as data collection consists  of searching open
    literature.
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision  and accuracy estimates are  not available
(EOT)  Editting: No known edit procedures exist.
(C8Y)  Data collected by: Contractor Betel  Northwest (1st contractor),;


                             167

-------
                             Accession No.   5204000102      (cent)

    Informatics  <2n<3 contractor)/  Fein
(ABY)  Data analyzed by:  Contractor Fein Marquart (Interactive  Sciences
    Corporation)
    EPA headquarters Oil  and Special Materials Control  Division
(IDL)  Laboratory identification:  NO
(AUT)  Authorization for  data collection: Statutory authorization  is
    National Contingency  Plan 40  CFR part 1510
(OMB)  Data collected/submitted using DM8-approved SPA  reporting forms:
    QQ
(RSP)  Form of available  reports  and outputs of data base:  Printouts  on
    request
    Microfilm
    On-line computer
(NUS)  Number of  regular  users of data base:  25 EPA users;  several
    hundred commercial users via  Chemical  Information  System  (CIS)
(USR)  Current regular users of data base:  EPA headquarter  offices
    Emergency Response Division
    SPA regional  offices
    SPA laboratories
    Other federal agencies
    States
    Environmental Response Team
(CNF)  Confidentiality of data and  limits on access: No limits  on
    access to data
(DLC)  Primary physical location  of data: CIS/ Inc.
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software   MIDS:5204000100  ^Interactive
    Sciences Corporation  POP 10 (special programs)
(CHG)  Direct charge for  non-EPA  use: yes
(UPDT)  Frequency of data base master file  up-date: Other as budget
    allows-update in progress now.
(RSS)  Related EPA automated systems which  use data base: Chemical
    Information System (CIS)
(R0BEPA)  Related EPA data bases  used in conjunction with this  data base
    Spill Prevention Control and   Countermeasure System (SPCCS)
(CMP)  Completion of form:
    jean H* Wright
    OFC: EPA/(0««M)/(OWPO)/(ERD)
    AD:  401 M St./ S.H.  Washington, D.C. 20460
    PH: (202) 245-3057
(OF)  Date of form completion: 01-17-83
(NMAT)  Number of substances represented in data base:  1033
(NCAS)  Number of CAS registry numbers in data base: 383
(MAT)  Substances represented in  data base:
    I,l-dichloroethylene<75-35-4          1-octene
       >                                 1-pentene
    1/3-butylene  glycol                  1-tetradecene
    1-decene                             1-trldecene
    1-dodecene                           1-undecene
    1-hexene                             12-n-degreaser
    1-nonene                             2/2-dichloropropionic  acid
    1-octanol                               <75-99-0>


                             168

-------
                         Accession No.  5204000102
                  (cont)
2fAfS-t amines
2,4,5-t esters
2/4/5-t salts
2/4,5-tp acid esters
2/4^5-trichlorophenoxyacetic acid
   (T)<93-76-5>
2f4,5-trichloropherioxypropionic
   acid (TP)<93-72-l>
2,4-d esters
2,4-dichlorophenol<120-83-2>
2,4-dichlorophenoxyacetic acid (2,
   4-d)<94-75-7>
2,4-dinitrophenol<51-28-5>
2,4-dinitrotoluene<121-14-2>
2/6-dinitrophenol
2-ethyl hexaldehyde
2-ethyl-3-propylacroleln
2-ethylbutyraldehyde
2-ethylhexyl acrylate
2-methyl-5-ethyl pyridine
2-nephthol
2-naphthylamine<91-59-8>
2-nitrophenol< 88-75-5>
2-nitropropane<79-46-9>
2-octanol
2-undecanol
3^5-xylenol
3-heptene
4-chlorotoluidene hydrochloride
a-nisltose
abietic acid
acctaldehyde<75-07-0>
acet amide
acetanilide
acetemul-uc
acetic acid<64-19-7>
acetic anhydride<108-24-7>
acetone cyanohydrin<75-86-5>
acetone<67-64-l>
acetonitrile<75-05-8>
acetophenone<98-86-2>
acetyl bromide<506-96-7>
acetyl chloride<75-36-5>
acetylacetone
acetylene
acridine
acrolein<107-02-8>
acrylic acid<79-10-7>
acrylonitrile<10?-13-1>
actusol
actusol-t-776
adipic acid<124-04-9>
adiponitrile
aldrin<309-00-2>
alken o«s.d.
alkyldinethyl 3/4-dichlorobenzylatt
   monium chloride
alkyIdimethylbenzylammonium
   chloride
alkyldimethylbenzyldimethylaroraonau
   ID chloride
alky1dime thylethy1benzylammonium
   chloride
ally! alcohol<107-18-6>
allyl chloride<107-05-l>
aluminum fluoride
aluminum hydroxide
aluminum sulfate<10043-01-3>
americiun 241
ameroid
ameroid-dreHclean-522
aminoethylethanolanine
amnonia<7€64-41-7>
ammonium acetate<631-61-8>
ammonium benzoate<1863-63-4>
ammonium bicarbonate<1066-33-7>
ammonium bichromate<7789-09-5>
ammonium bifluoride<1341-49-7>
ammonium bisulfite<10192-30-0>
ammonium bromide
ammonium carbamate<1111-78-0>
ammonium carbonate<506-87-6>
ammonium chloride<12125-02-9>
anmonium chromate<7788-98-9>
ammonium citrate<7632-50-0>
ammonium ferricyanide
ammonium ferrocyanide
ammonium fluoborate<13826-83-0>
ammonium fluoride<12125-01-8>
ammonium hydroxlde<1336-21-6>
ammonium nitrate
ammonium oxalate<1113-38-8>
aaaonium pentaborate
ammonium perchlorate
ammonium peroxydisulfate
ammonium phosphate, dibasic
ammonium picrate<131-74-8>
ammonium silicofluoride
   <16919-19-0>
araraonium stearate
ammonium sulfaraate<7773-06-0>
ammonium sulfate
ammonium sulfide<12135-76-l>
ammonium sulfite<10196-04-0>
                         169

-------
                         Accession No.  5204000102
                  (cont)
ammonium tartrate<3164-29-2>
ammonium thiocyanate<1762-95-4>
amnsonium thiosulfate<7783-18-8>
amyl acetate<628-63-7>
ajoyl alcohol
aniline<62-53-3>
antimony 122
antimony 124
antimony 125
antimony pentachloride<7647-18-9>
antimony potassium tartrate
antimony tribromide<7789-61-9>
antimony trichloride<10025-91-9>
antimony trif luoride<7783-56-4>
antimony trioxide<1309-64-4>
antimony<7440-36-0>
ap-10
aquanex-mc
argon 37
arsenic 74
arsenic 76
arsenic 77
arsenic acid<1327~52-2>
arsenic disulf ide<1303-32-8>
arsenic pentoxide<1303-28-2>
arsenic tribroraide<7784-33-0>
arsenic trichloride* 7784-34-l>
arsenic trioxide<1327-53-3>
arsenic trisulf ide<1303-33-9>
arsenic<7440-38-2>
asphalt
atlas-1901
b-and-b-2021-s
b-and-b-2023
b-propiolactone
bacto-zyaie
barium 131
barium 133
barium 137
barium 140
barium carbonate
barium chloride
barium cyanide<542-62-l>
barium hydroxide
barium nitrate
barium<7440-39-3>
basic-h
ben?aldehyde
benzene<71-43-2>
benzole acid<65-85-0>
ben2onitrile<100-47-0>
benzopherone
benzoyl chloride<98-88-4>
benzoyl peroxide
benzyl alcohol
benzyl benzoate
benzyl bromide
benzyl chloride<100-44-7>
benzyl mercaptan
benzylamine
beryllium 7
beryllium chloride<7787-47-5>
berylliUB tluoride<7787-49-7>
beryllium nitrate<13597-99-4>
berylliun sulfate
berylliunt<7440-41-7>
besco-b-51-dt
besco-d-emulsion-no.-100
besco-slick-440
bismuth 207
bismuth 210
bismuth co»pounds<7440-69-9>
blitz
boric acid
boron compounds<7440-42-8>
bp-1002
bp-1100
brombenzylcyanide
bromine 82
bromine<7726-95-6>
bromoacetone< 598-31-2>
brucine<357-57-3>
butyl acetate<123-86-4>
butyl benzyl phthalate<85-68-7>
butyl mercaptan
butyl stearate
butylamiue<109-73-9>
butyric acid<107-92-6>
cab-o-sll-st-2-0
cadmium 109
cadmium 115
cadmium acetate<543-90-8>
cadmium bromide<7789-42-6>
cadmium chloride
cadmium fluoborate
cadmiuie nitrate
cadmium sulfate
cadmiunt<7440-43-9>
calcium 45
calcium 47
calcium arsenate<7778-44-l>
calcium arsenite<52740-16-6>
calcium carblde<75-20-7>
                         170

-------
                         Accession No.  5204000102
                  (cont)
calcium chloride
calcium chromate<13765-19-0>
calcium cyanide<592-01-8>
calcium dodecylbenzenesulfonate
   <26264-06-2>
calcium fluoride
calcium gluconate
calcium hydroxide<1305-62-0>
calcium hypochlorite<7778-54-3>
calcium nitrate
calcium oxide<1305-78-8>
calcium phosphate
calcium phosphide
calidria-asbestos-grade-r-g444
camphor
capillardiamin
captan<133-06-2>
carbaryl<63-25-2>
carbofuran<1563-66-2>
carbon 14
carbon disulfide<75-15-0>
carbon monoxide<630-08-0>
carbon tetrachloride<56-23-5>
casol
cerium 141
cerium 144
cesium 131
cesium 134
cesium 137<10045-97-3>
cetyldimethylaitinoniura bromide
cetyldimethylbenzylaramonium
   chloride
cetylpyridinium chloride
cetyltrimethy1ammonium bromide
chemical-sludge
chevron-nl-0
chloracetophenone
chloramine-t
chloraroines
chlordane<57~74-9>
chloric acid
chlorine 36
chlcrine<7782~50-5>
chloroacetic acid
chlorobenzene<108-90-7>
chlorobutadiene
chloroform<67-66-3>
chlororoethane<74-87-3>
chlorophenyl-p-chlorobenzenesulfon
   ate
chloropicrin
chloroplatinic acid
chloroquine
chlorosulfonic acid<7790-94-5>
chlorothiazide
chlorthion
choline chloride
chromic acetate<1066-30-4>
chromic acid<7738-94-5>
chromic sulfate<10101-53-8>
chromium 51
chromous chloride<10049-05-5>
chromyl chloride
citric acid
cleansol
emu
cobalt 57
cobalt 58
cobalt 60
cobalt chloride
cobalt nitrate
cobalt sulfate
cobaltous bromide<7789-43-7>
cobaltous foraiate<544-18-3>
cobaltous sulfamate<14017-41-5>
coconut oil
cold-clean
colloid-88
copper 64
copper naphthenate
copper<7440-50-8>
corexit-7664
corexit-8666
coumaphos<56-72-4>
cresyldiphenyl phosphate
crotonaldehyde<4170-30-3>
crude-heavy
crude-light
crude-medium
cumene<98-82-8>
cupric acetate<142-71-2>
cupric acetoarsenite<12002-03-8>
cupric chloride<7447-39-4>
cupric formate
cupric nitrate<3251-23-8>
cupric oxalate<814-91-5>
cupric sulfate ammoniated
   <10380-29-7>
cupric sulfate<7758-98-7>
cupric tartrate<815-82-7>
cutting-oil
cw-solvent
cyanamide
cyanoacetic acid
                         171

-------
                         Accession No.  5204000102
                  (cont)
eyanobutadiene
cyanogen broraide<506-68-3>
cyanogen chloride<506-77-4>
cyanogen<460-19-5>
cyclohexane<110-82-7>
cyclohexanol
cyclohexanone<10 8-94-l>
cyclohexylamine
dart
dasic
dbc-plus
ddd(tde)
decaborane
decanal
deck-glo
dermol
di-cheai-320
diacetone alcohol
diamylaroine
diazinon<333-41-5>
dibenzol(aAi)pyrene<189-55-9>
diborane
dibrojnochloropropane
dibutyl phthalate<84-74-2>
dicamba<1918-00-9>
dicapthon
dichlobenil<1194-65-.6>
dichlone<117-80-6>
dicblorobenzene<25321-22-6>
dichlorodifluoromethane<75-71-8>
dichloroethyl ether
dichloromethane<75-09-2>
dicbloropropane
dichloropropene
dictloropropene-dichloropropane
   mixture
dichlorvos (ddvp}<62-73-7>
dicyclopentadiene
dieldrin<60-57-l>
diesel fuel no* 1-d
diesel fuel no. 2-d
diesel fuel no. 4-d
diethanolaraine
diethylaraine<109-89-7>
diethylbenzene
diethylene glycol
diethylene glycol monobutyl ether
diethylene glycol monoethyl ether
diethylene glycolmonomethyl ether
diethylenetriaroine
digested-sewage-sludge
diisobutyl carbinol
dlisobutyl ketone
diisobutylcresoxyethoxyethyldimeth
   ylbenzylafflmonium
diisobutylene
diisobutylphenoxyethoxyethyldimeth
   ylbenzylammonium
diisopropanolaniine
diisopropylamine
dimethyl sulfate<77-78-l>
dimethyl sulfoxide
diraethylami«e<124-40-3>
dinitrobenzene<25154-54-5>
dinitrochlorobenzol
dioctyl phthalate
dioxane<123-91-l>
dipentene
diphosgene
dipropylene Glycol
diguat<2764-72-9>
disodiuffldibutylphenylphenoldisulfo
   nate
disperse-oil
dispersol-os
disulfoton<298-04-4>
diuron<330-54-l>
divinylbenzene
dnbp
dnbp-nh4-salt
dodecanol (1-dodecanol)
dodecyl mercaptan
dodecylbenzene
dodecylbenzenesulfonic acid
   <27176-87-0>
dysprosium 159
e-314
edta<60-00-4>
ekoperl
einery-15298
emtal-42
endothal
endrin<72-20-8>
epichlorohydrin
erbium 169
essolvene
ethanolamine
ethion<563-12-2>
ethoxytriglycol
ethyl acetate<141-78-6>
ethyl acrylate<140-88-5>
ethyl alcohol
ethyl chloride<75-00-3>
ethyl ether<60-29-7>
                         172

-------
                         Accession No.  5204000102
                  (cont)
ethyl formate
ethyl phthalate
ethylbenzene<100-41-4>
ethylbutanol
ethylene
ethylene cyanohydrin
ethylene dibromide (edb)<106-93-4>
ethylene dichloride<107-06-2>
ethylene glycol
ethylene glycol monobutyl ether
ethylene glycol monoethyl ether
ethylene glycol raonoethyl ether
   acetate
ethylene glycol monomethyl ether
ethylene glycol, diacetate
ethylene oxide<75-21-8>
ethylenediamine<107-15-3>
eth.yleneimine<151-56-4>
europium 152
europium 154
europium 155
fenuron
ferbam
ferric ammonium citrate<118S-57-5>
ferric ammonium oxalate
   <14221-47-7>
ferric chloride<7705~08-0>
ferric fluoride<7783-50-8>
ferric hydroxide
ferric nitrate<10421-48-4>
ferric sulfate<10028-22-5>
ferrous ammonium sulfate
   <10045-89-3>
ferrous chloride<7758-94-3>
ferrous hydroxide
ferrous sulfate<7720-78-7>
ferrous sulfite
fish-oil
flucrine<7782-41-4>
fluosilicate
fo-300-b
foilzoil
fonnaldehyde<50-00-0>
formic acid<64-18-6>
fuel oil no. 1
fuel oil no. 2
fuel oil no. 4
fuel oil no. 5
fuel oil no. 6
fumaric acid
furfural<98-01-l>
furfuryl alcohol
gadolinium 153
gallic acid
gallium 68
gallium 72
ganlen-d-solvent
gamosol
gas oils
gasoline
germanium 71
gluconic acid
glucose
glycerol
glyoxal
gold 195
gold 198
gold 199
gold-crew
guthlon<86-50-0>
hafnium 181
haptane
haptanol
heraco-no-2
heptachlor<76-44-8>
hetp
hexaborane
hexachlorocyclopentadiene<77-47-4>
hexamethylenediamine
hexane
hexanol
haxylene glycol
holl-che*-#622
holmium 166
hydrazine<302-01-2>
hydrochloric acid<7647-01-0>
hydrocyanic acid<74-90-8>
hydrofluoric acid<7664-39-3>
hydrogen 3
hydrogen cyanide<74-90-8>
hydrogen peroxide
hydrogen sulflde<7783-06-4>
hydroguinone
hydrosulfite
hydroxylamine
hypochlorous acid
igepal-co-430
igepal-co-530
indium 113
indium 114
indole
iodine 125
iodine 129<15046-84-l>
iodine 130
                         173

-------
                         Accession No.  5204000102
                  (corit)
iodine 131<10043-66-0>
ipc
iridium 192
iridium 194
iron
iron 55
iron 59
iror<7439-89-6>
iso-amyl acetate
iso-butyl acetate
iso-butyric acid
isobutyl acrylate
isobutyl alcohol<73-83-l>
isobutyl mercaptan
isobutyraldehyde
iso
isofhthaloyl chloride
isoprene<78-79-5>
isopropanolamire dodecylbenzene
   sulfoaate<54590-52-2>
isopropyl acetate
isopropyl alcohol
isopropyl ether
isopropylamine
3ansolv-60
JP-^3
JP-5
kelthane<115-32-2>
kepone<143-50-0>
klearfac-aa040
krypton 85<13983-27-2>
kuweit-crtide
lactic acid
lanthanum 140
lanthenum acetate
lauroyl peroxide
lautyl sulfate
lauryldimethylbenzylaramoniuiB
   chloride
lcp-12
lea€ 210
lead acetate<301-04-2>
lead arsenate<3687-31-8>
lead chloride<7758-95-4>
lead fluoride<7783-46-2>
lead fluoroborate<13814-96-5>
lead iodide<10101-63-0>
lead nitrate<10099-74-3>
lead stearate<1072-35-l>
lead sulfate<7446-14-2>
lead sulfide<1314-87-0>
lead thiocyanate<592-87-0>
lead thiosulfate
lead<7439-92-l>
lindane<58-89-9>
linoleic acid
lithium chloride
lithium chromate<14307-35-8>
lithium sulfate
lix-336
lutetium 177
m-cresol<108-39-4>
ro-nitrocresol
m-nitrophenol
m-xylene<108-38-3>
m-xylylbroiaide
raagic-pOber-od-#l
magnesium
magnesiuK 23
magnesium acetate
magnesium dodecyl sulfate
magnesiua sulfate
magnus
raagnus-marine-disperser
fflalathion<121-75-5>
raaleic acid<110-16-7>
maleic anhydride<108-31-6>
manganese 54
marine-cleaner-8551
marltec-oil-spill-remover
racp
megsite
mercaptodimethur<2032-65-7>
mercuric cyanide<592-04-l>
mercuric nitrate<10045-94-0>
mercuric oxide
mercuric sulfate<7783-35-9>
mercuric thiocyanate<592-85-8>
mercurous nitrated0415-75-5>
mercury 197
mercury 203
mercury-fungicides
mercury<7439-97-6>
mesityl oxide
net-aguaclene-100
meta-nitcochlorobenzene
                         174

-------
                         Accession No.  5204000102
                  (cont)
metasystox
methacrylonitrile
methanesulfonyl chloride
methanethiol<74-93-l>
methanol<67-56-l>
methoxy triglycol
raethoxychlor<72-43-5>
methyl acetate
methyl actylate
methyl amyl acetata
methyl amyl alcohol
methyl azide
methyl bromide
methyl ethyl ketone (aek)<78-93-3>
methyl isobutyl ketone<108-10-l>
methyl mercaptan<74-93-l>
methyl nethacrylats<80-62-6>
methyl parathion<298-00-0>
methylal
mevinphos<7786-34-7>
mexacarbate<315-13-4>
mistron-vapor
molasses
molybdenum 99
molybdenum and compounds
   <7439-98-7>
molybdic trioxlde
moRcchloroacetone
moncchlorodifluoromethane
monoethylamine<75-04-7>
monoisopropanolanine
monoraethylamine<74-89-5>
morpholine
mustard-gas
n-butyl aery late
n-butyl alcohol
n-butyl alcohol<71-36-3>
n-biityl phthalate<84-74-2>
n-butyraldehyde
n-decyl alcohol
n-nitrosodifflethylaraine<62-75-9>
n-propyl alcohol
n-propylamine
nab £ ro
naled<300-76-5>
naphthalic acid
naphthenic acid<1338-24-5>
navee-42
neodymium 147
neptunium 237
nickel 63
nickel ammoniun sulfate<7785-20-8>
nickel chloride<7718-54-9>
nickel hydroxlde<12054-48-7>
nickel nitrate<13138-45-9>
nickel sulfate<7786-81-4>
nickel<7440-02-0>
nicotine and salts<54-ll-5>
nicotine hydrochlorlde
nicotine salicylate
nicotine sulfate
nicotine tartrate
niobium 95
nitric acid<7697-37-2>
nitric oxide<10!02-43-9>
nitrilotriacetic acid
nitrobenzene<98-95-3>
nitrogen dioxide<10102-44-0>
nitrotoluene
nitrous acid
nitrous oxide
nitroxylene
nonane
nonanol
nonyl phenol
norseiren-67
o-cresol<95-48-7>
o-dinitrobenzene
o-nitrotoluene
o-nitroxylol
o-xyiene<95-47-6>
octadecenyldiicethylethylaffimoniuffi-
   bromide
od-2
oil-and-spill-eradicator
oil-spill-eradicator-x-1-11
oleic acid
oraazene
omya-nautex-h
ortho-nitroaniline
ortho-nitrochlorobenzene
osmium 191
ovotran
oxalic acid
oxy dlpr op ioni tr 11 e
p-chlorobenzenesulfonic-acid-p-
   chlorophenyl-ester^ p-
p-chlorothymol
p-cresol<106-44-5>
p-cymene
p-nitrophenol
p-nitrotoluene
p-nitroxylol
p-xylene<106-42-3>
                         175

-------
                         Accession No.  5204000102
                  (cent)
palladium 103
palladium 109
para-nitroaniline
para-nitrochlorobenzene
paraformaldehyde<30525-89-4>
parathion<56-38-2>
pentaborane
pentachlorophenol<87-86-5>
pentadecanol
pentanal
pentane
perchloric acid
perchloroethylene<127-18-4>
perchlorOTOethyl mereaptan
perc-klean-no-818
perthane<72-56-0>
petro-ban
petrollte-w-1439
petjolite-wf-30
phenobarbltal
phenol<108-95-2>
phenylcarbylamine chloride
phenylmercury acetate<62-38-4>
phosgene<75-44-5>
phosphoric acid<7664-38-2>
phosphorous 32
phosphorous/ black
phosphorous/ white (yellow)
phosphorus oxychloride<10025-87-3>
phosphorus pentasulfide<1314-80-3>
phosphorus trichloride<7719-12-2>
phosphorus<7723-14-0>
phthalic anhydride<85-44-9>
phthalic-acid-diethylester
phthalol
picric acid
Plutonium 238<13981-16-3>
Plutonium 239<15117-48-3>
polonium
polychlorinated biphenyls (PCBs)
polyclens-(moltoklar)
polycoraplex-a-11
polyglycol ether
polypropylene glycol
polypropylene glycol joethyl ether
potassium 42
potassiun arsenate<7784-41-0>
potassium arsenite<10124-50-2>
potassium bichroroate<7778-50-9>
potassium chroraate<7789-00-6>
potassium cyanide<151-50-8>
potassium hydroxide<1310-58-3>
potassiutt iodide
potassium permanganate<7722-64-7>
potassiua pyrophosphate
potassium sulfate
praseodymium 142
praseodymium 143
praseodymium 144
proraethiura 147
propane
propanolamine
propargite<2312-35-8>
propionaldehyde
propionic acid<79-09-4>
propionic anhydride<123-62-6>
proplyene oxide<75-56-9>
propyl acetate
propylene
propylene dichloride
propylene gylcol
protactinium 233
protactinium 234
pyraxon
pyrethrln I
pyrethrin<121-29-9>
pyrethrum
pyrocatechol
pyrogallol
quinacrine hydrochloride
quinhydrone
quinine
radium 226<13982-63-3>
rau-sewage-sludge
resorcinol<108-46-3>
rhenium 186
rhodium 106
ridzlik
rotenone<83-79-4>
rubidium 86
ruthenius 103
ruthenium 106
salleylaldehyde
salicylic acid
samarium 151
samarium 153
scandium 46
schraden
sea-sweep
seabead
seamulso-e
sec-amyl acetate
sec-butyl acetate
sec-butylamine
                         176

-------
                         Accession No,  5204000102
                  (cont)
selenium 75
selenium oxide<12640-89-0>
sel€niutii<7782-49-2>
sesone
shell-herder
silver 110
silver 111
silver cyanide<506-64~9>
silver nitrate<7761-88-8>
siiver<744Q-22-4>
silvex<93-72-l>
simazine<122-34-9>
skarex-s-102
skatole
slickgone-1
slickgone-2
slip-clean
sodium 22
sodium 24
sodium acetate
sodium anthraquinone sulfonate
sodiuffii arsenate<7631-89-2>
sodium arsenite<7784-46-5>
sodium azide<26628-22-8>
sodium bichromate<10588-01-9>
sodium bif luoride<1333-83-l>
sodium bisulfite<7631-90-5>
sodium borate
sodium broraobenzene sulfonate
sodium butyldiphenyl sulfonate
sodium butylphenylphenol sulfonate
sodium carbonate
sodium chlorate
sodium chromate<777S-ll-3>
sodium cyanate
sodium cyanide<143-33-9>
sodium decylbenzene sulfonate
sodium dichlorobenzene sulfonate
sodium dodecylbenzenesulfonate
   <25155-30-0>
sodium ferricyanide
sodium ferrocyanide
sodium fluoborate
sodium f luoride<7681-49-4>
sodium fluoroacetate (1080)
   <62-74-8>
sodium fluosilicate
sodium hydrosulfide<16721-80-5>
sodium hydro su If it a
sodium hydroxide<1310-73-2>
sodium hypochlorite<7681-52-9>
sodium lauryl sulfate
sodium methylate<124-41-4>
sodium naphthalene sulfate
sodium nitrite<7632-00-0>
sodium nitrochlorobenzene
   sulfonate
sodium octyl sulfate
sodium oleate
sodium palmitate
sodium phosphate^ dibasic
   <7558-79-4>
sodium phosphate, tribasic
   <7601-54-9>
sodium seleiiite<10102-18-8>
sodium silicate
sodium stearate
sodium sulfide
sodium sulfite
sodium sulphate
sodium thiocyanate
sodium uolframate
sodium<7440-23-5>
sol-speedi-dri
sorbitol
spill-away
spill-x
stannous chloride
stearic acid
strickite
strontium 85
strontium 87a
strontium 89<14l58-27-l>
strontiun 90<10098-97-2>
strontium chloride
strontium chromate<7789-06-2>
strontium nitrate
strychnine<57-24-9>
styrene<100-42-5>
sulfolane
sulfoxide
sulfur
sulfur 35
sulfur dioxide<7446-09-5>
sulfur fflonochloride<10025-67-9>
sulfuric acid<7664-93-9>
sulfurous acid
sup erphosphate
surflo-rd-282
systox
t-butylhydroperoxide
talloH
tannic acid
                         177

-------
                         Accession No.  5204000102
                  (cont)
tantalum 182
tba
tea
tde<72-54-8>
technetium 99
tedion
tellurium 132
teoc-444
teoc-777
terbium 160
terephthalic acid
tert-aroyl acetate
tert-butyl acetate
tec t-butyl-merc ap tan
tert-butylamine
tetraborane
tetradecanol
tetraethyl dithiopyrophosphate
   <3689-24-5>
tetraethyl lead<78-00-2>
tetraethyl pyrophosphate
tetraethylene glycol
tetraethylene pentaraine
tetrahydronaphthalene
tetramethyl lead
thallic oxide<1314-32-5>
thallium 204
thallium acetate<563-68-8>
thallium sulfate<7446-18-6>
thaIliuin<7440-28-0>
thalious nitrate
thioglycolic acid
thiophosgene
thitraro
thorium chloride
thulium 170
tin 113
tin 119
titanium 44
titanium chloride
titanium nitrate
titenium sulfate
toluene diisocyanate<26471-62-5>
toluene<108-88-3>
tolijidine 
tri cresyl phosphate
trichlorfon<52-68-6>
trichlorobenzene
trichloroethane<25323-B9-l>
trichloroethylene<79-01-6>
trichlorofluoromethane<75-69-4>
trichlorophenol (TCP)<25167-82-2>
tridecanol
triethano1amine
triethanolamine dodecylbenzenesulf
   onate<27323-41-7>
triethylaluminum
triethylaraine<121-44-8>
triethyIbenzene
triethylene glycol
triethylenetetraraine
triraethylamine<75-50-3>
trinitrotoluene
tungsten 185
tungsten 187
turpentine
tyfosol-80
uranium 235<15117-96-l>
uranium 238<7440-€1-1>
uranium peroxide
uranyl acetate<541-09-3>
uranyl nitrate<10102-06-4>
uranyl sulfate
urea
vanadium oxytrichloride
vanadium pentoxide<1314-62-l>
vanadyl sulfate<27774-!3-6>
vapara
vinyl acetate<108-05-4>
vinyl bromide
vinyl chloride<75-01-4>
vinyl ether
vinylidene chloride<75-35-4>
vinyltoluene
wyandotte-spill-remover
xenon 133
ytterbium 169
yttrium 90
yttrium 91
zinc 65
zinc 69
zinc acetate<557-34-6>
zinc ammonium chloride
zinc borate<1332-07-6>
zinc browide<7699-45-8>
zinc carbonate<3486-35-9>
zinc chloride<7646-85-7>
zinc chromate
zinc cyanide
zinc fluoborate
zinc fluoride<7783-49-5>
zinc forniate<557-41-5>
2inc hydrosulfite<7779-86-4>
                         178

-------
                             Accession No.   5204000102
                  (cont)
    7.inc nltrate<7779-88-6>
    zinc phenol  sulfonate<127-82-2>
    zinc phosphide<13l4-84-7>
    zinc silicofluoride
    zinc sulfate<7733-02-0>
    zinc<7440-66-6>
    zirconium 95
    zirconium acetate
    zirconium nitrate<13746-89-9>
    zirconium potassium fluoride
       <16923-95-8>
    zirconium sulfate
    zirconium tetrachlorlde
       <10026-ll-6>
    acenaphthene<83-32-9>
    acenaphthylene<208-96-8>
    amitrole<61-82-5>
    antfcracene<120-12-7>
    benzo(a)anthracene<56-55-3>
    3, 4-benzofluoranthene<205-99-2>
    benzo(k)fluoranthene<207-08-9>
    benzo(gxh,i)perylane<191-24-2>
    benzoCa3pyrene<50-32-8>
    bis(2-chloroisopropyl)ether
       <39638-32-9>
    bis(chloromethyl)ether<542-88-l>
    bron*odichloromethane<75-27-4>
    4-bromophenyl phenyl ether
       <101-55-3>
    chlorambucil<305-03-3>
    p-chloro-m-cresol<59-50-7>
    2-chloronaphthalene<19-58-7>
    4-chlorophenyl phenyl ester
       <7005-72-3>
chrysene<218-01-9>
cyclophosphamide<50-18-0>
daunomycin<20830-81-3>
dibenzoEa,hianthracene<53-70-3>
dibenzol£aynpyrene<189-55-9>
dibromochloromethane<124-48-l>
dibromomethane<74-95-3>
l,2-dichlorobenzene<95-50-l>
1,4-dichlorobenzene   <106-46-7>
2,6-dichlorophenol<87-65-0>
diethylstilbestrol<56-53-l>
dihydrosafrole<94-58-6>
diraethoate<60-51-5>
1t 1 2-dirae thy Ib enzCaJ an thracene
2/4-diraethylphenol< 105-67 -9>
f luroanthene<206-44-0>
fluorene<86-73-7>
hexachlorophene<70-30-4>
indeno(l/2,3-cd)pyrene<193-39-5>
iodomethane<74-88-4>
3-methylcholanthrene<56-49-5>
pentachlorobenzene <608-93-5>
phenacetin<62-44-2>
phenanthrene< 85-01 -8>
pyrene<129-00-0>
reserpine
safrole<94-59-7>
1/2,4/5-tetrachlorobenzene
   <95-94-3>
2,3,4/6-tetrachlorophenol<58-90-2
l/2/4-trichlorobenzene<120-82-l>
2,4/5-trichlorophenol<95-95-4>
2,4/6-trichlorophenol<88-06-2>
(CAS)  CAS registry numbers of substances included in data base:  75-35-4
    ; 75-99-0;  93-75-5;  93-72-1;  120-83-2;       94-75-7; 51-28-5;
    121-14-2;  91-59-8;  88-75-5; 79-46-9; 75-07-0;       64-19-7;
    108-24-7;  75-86-5;  67-64-1; 75-05-8; 98-86-2; 506-96-7;
    75-36-5;  107-02-8;  79-10-7; 107-13-1; 124-04-9; 309-00-2; 107-18-6;
    107-05-1;  10043-01-3; 7664-41-7; 631-61-8; 1863-63-4; 1066-33-7;
    7789-09-5;  1341-49-7; 10192-30-0; 1111-78-0; 506-87-6; 12125-02-9;
    7788-98-9?  7632-50-0; 13826-83-0; 12125-01-8; 1336-21-6; 1113-38-8;
    131-74-8;  16919-19-0; 7773-06-0; 12135-76-1; 10196-04-0; 3164-29-2;
    1762-95-4;  7783-18-8; 628-63-7;  62-53-3;  7647-18-9; 11071-15-1;
    778S-61-9;  10025-91-9; 7783-56-4; 1309-64-4; 7440-36-0; 1327-52-2;
    1303-32-8;  1303-28-2; 7784-33-0; 7784-34-1; 1327-53-3; 1303-33-9;
    7440-38-2;  14798-08-4; 542-62-1; 7440-39-3; 71-43-2; 65-85-0?
    100-47-0;  98-88-4;  100-44-7;  7787-47-5; 7787-49-7; 13597-99-4;
    7440-41-7;  7440-69-9; 7440-42-8; 7726-95-6; 598-31-2; 357-57-3;
    123-86-4?  85-68-7?  109-73-9;  107-92-6;  543-90-8; 7789-42-6;
    7440-43-9;  7778-44-1; 52740-16-6; 75-20-7; 13765-19-0; 592-01-8;
    26264-06-2; 1305-62-0; 7778-54-3; 1305-78-8; 133-06-2; 63-25-2;
                             179

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                         Accession No.  5204000102     (cont)

1563-66-2; 14762-75-5; 75-15-0; 630-08-0; 56-23-5; 10045-97-3;
57-74-9; 7782-50-5; 108-90-7; 67-66-3? 74-87-3; 7790-94-5;
1066-30-4;      7738-94-5; 10101-53-8; 10049-05-5; 7789-43-7;
544-18-3; 14017-41-5;   7440-50-8; 56-72-4; 4170-30-3; 98-82-8;
142-71-2; 12002-03-8;    7447-39-4; 3251-23-8; 814-91-5;
10380-29-7; 7758-98-7; 815-82-7;      506-68-3; 506-77-4; 460-19-5;
110-82-7; 108-94-1; 333-41-5; 189-55-9;      84-74-2; 1918-00-9;
1194-65-6; 117-80-6; 25321-22-6; 75-71-8;    75-09-2; 62-73-7;
60-57-1; 109-89-7; 77-78-1; 124-40-3; 25154-54-5;   123-91-1;
2764-72-9; 298-04-4; 330-54-1; 27176-87-0; 60-00-4;    72-20-8;
106-89-8; 563-12-2; 141-78-6? 140-88-5; 75-00-3; 60-29-7;
100-41-4; 106-93-4; 107-06-2; 75-21-8; 107-15-3; 151-56-4;
1185-57-5;      14221-47-7; 7705-08-0? 7783-50-8? 10421-48-4;
10028-22-5; 10045-89-3?      7758-94-3? 7720-78-7; 7782-41-4;
50-00-0; 64-18-6; 110-17-8; 98-01-1;      86-50-0; 76-44-8;
77-47-4; 302-01-2; 7647-01-0; 74-90-8; 7664-39-3;   74-90-8;
7783-06-4; 15046-84-1; 10043-66-0; 7439-89-6; 78-83-1;
78-59-1; 78-79-5; 54590-52-2; 115-32-2; 143-50-0? 13983-27-2;
301-04-2; 3687-31-8; 7758-95-4; 7783-46-2; 13814-96-5; 10101-63-0;
10099-74-8; 1072-35-1; 7446-14-2; 1314-87-0; 592-87-0; 7439-92-1;
58-89-9; 14307-35-8; 108-39-4; 108-38-3; 121-75-5; 110-16-7?
108-31-6; 2032-65-7; 592-04-1; 10045-94-0; 7783-35-9; 592-85-8;
10415-75-5; 7439-97-6; 74-93-1; 67-56-1; 72-43-5; 78-93-3;
108-10-1;       74-93-1; 80-62-6; 298-00-0? 7786-34-7; 315-18-4;
7439-98-7; 75-04-7;       74-89-5; 71-36-3; 84-74-2; 62-75-9;
107-10-8; 300-76-5; 1338-24-5;    7785-20-8; 7718-54-9; 12054-48-7;
13138-45-9; 7786-81-4; 7440-02-0;   54-11-5; 7697-37-2; 10102-43-9;
98-95-3; 10102-44-0; 95-48-7;    95-47-6? 106-44-5; 106-42-3;
3G525-89-4? 56-38-2; 87-86-5; 127-18-4;       72-56-0; 108-95-2;
62-38-4; 75-44-5; 7664-38-2; 10025-87-3;      1314-80-3; 7719-12-2;
7723-14-0; 85-44-9; 13981-16-3? 15117-48-3;     7784-41-0;
10124-50-2? 7778-50-9; 7789-00-6; 151-50-8; 1310-58-3;
7722-64-7; 2312-35-8; 79-09-4; 123-62-6; 75-56-9; 121-29-9;
13982-63-3; 108-46-3; 83-79-4; 12640-89-0; 7782-49-2; 506-64-9;
7761-88-8; 7440-22-4? 93-72-1; 122-34-9; 7631-89-2; 7784-46-5;
26628-22-8; 10588-01-9; 1333-83-1? 7631-90-5? 7775-11-3; 143-33-9?
25155-30-0; 7681-49-4; 62-74-8; 16721-80-5; 1310-73-2; 7681-52-9;
124-41-4; 7632-00-0; 7558-79-4; 7601-54-9; 10102-18-8; 7440-23-5;
14158-27-1; 10098-97-2; 7789-06-2; 57-24-9; 100-42-5; 7446-09-5;
10025-67-9; 7664-93-9; 72-54-8; 3689-24-5; 78-00-2; 107-49-3;
1314-32-5; 563-68-9; 7446-13-6; 7440-28-0; 137-26-8; 26471-62-5?
108-88-3? 8001-35-2; 52-68-6; 25323-89-1; 79-01-6; 75-69-4;
25167-82-2? 27323-41-7? 121-44-8; 75-50-3; 15117-96-1; 7440-61-1;
541-09-3; 10102-C6-4; 1314-62-1; 27774-13-6? 108-05-4? 75-01-4;
75-35-4; 557-34-6? 1332-07-6; 7699-45-8; 3486-35-9; 7646-85-7;
7783-49-5; 557-41-5; 7779-86-4; 7779-88-6; 127-82-2; 1314-84-7;
16971-71-9? 7733-02-0; 7440-66-6? 13746-89-9; 16923-95-8;
14644-61-2;      10026-11-6; 83-32-9; 208-96-8? 61-82-5; 120-12-7;
56-55-3; 205-99-2;       207-08-9; 191-24-2? 50-32-8; 39638-32-9;
542-88-1? 75-27-4; 101-55-3;      305-03-3? 59-50-7; 7005-72-3?
218-01-9; 50-18-0; 20830-81-3; 53-70-3;      189-55-9; 124-46-1;
74-95-3; 95-50-1; 106-46-7; 87-65-0; 56-53-1;     94-58-6; 60-51-5;


                         180

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                             Accession No.   5204000102     (cont)

    57-97-6;  105-67-9; 206-44-0; 86-73-7; 70-30-4;      193-39-5?
    74-88-4;  56-49-5; 608-93-5; 62-44-2; 85-01-8; 129-00-0;
    50-55-5;  94-59-7? 95-94-3; 58-90-2; 120-82-1; 95-95-4; 88-06-2
(CUM)  Contact narae(s): Wright,J.H.    ;    Sullivan,C.
CCQR)  Contact organization:  Emergency Response Division
(ROR)  Responsible Organization: Office of  Solid Waste and Emergency
    Response.Office of Emergency and Remedial Respons
                             181

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                             Accession No.   5205000901

(DQ)  Dete of Questionaire:  12-02-82
(NAM)  Name of Data Base of  tfodel:  Needs Survey
(ACR)  Acronym of Data Base  or Model:  NEEDS
(MED)  Media/Subject of Data Base or Model: Effluents wasteuater
    treatment plants
(ABS)  Abstract/Overview of  Data Base  or Model: National inventory  of
    municipal treatment and      collection  facilities (1982 survey  had
    approximately 32,000 facilities) dollar needs by category/
    populations served,   treatment processes used/planned*  influent
    and effluent data [biological oxygen     demand (BOD)/  suspended
    solids/ phosphorus/ ammonia!.
(CTC)  CONTACTS: Subject matter Wen Huang (202)382-7288   ;
    Patrick Brady (202)382-7295
(DTP)  Type of data collection or monitoring: Point source data
    collection uasteuater treatment plants       Computer-related
    Patrick Brady (202)382-7295; EPA Office,   Priorities and Needs
    Assessments Branch (202)
(STA)  Data Base status: Operational/ongoing
(NPP)  £on-pollutant parameters included in the data base:  Concentration
    measures ;Cost/economic  data ;Disposal  ;Geographic  subdivision  ;
    Location ;Political subdivisions ;Treatment devices ;Volume/mass
    measures
(DS)  Time period covered by data base: 01-01-73 TO 03-30-83
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: Other  biennally
(NUB)  Number of observations in data  base: 478828.(Estimated)
(f'FI)  Estimated annual increase of observations in data base:  0  (in
    )1981 (less thanUOOO (in )1982.
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources  covered in data base:  32009.
(NCS)  No. stations or sources currently originating/contributing data:
    32009.
(NOF)  lumber of facilities  covered in data base (source monitoring): 32
    009.
(GEO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source include:
    State ;County ^Congressional district ;SMSA ?City ;Toun/totmship  ;
    Project identifier jReach number (River)
(FAC)  Data elements identifying facility Include: Plant facility name
    ;Plciit location ;parent  corp name  ;NPD5S ;    Program identifier
(CDE)  Pollutant identification data are: Other coding scheme
(LLM)  Limitation/variation  in data of which user should be aware:
    1973, 1974, 1976, 1978 data on biological    oxygen demand (BOD)/
    suspended solids, phosphorus and ammonia    only.  Gther chenicals
    1980, 1982 data (112 total observations).
(DPR)  Data collect./anal, procedures  conform to QRD guidelines:  Samplin
    g plan documented Collection method documented /Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? NO
(AUD)  Lab Audit: Data riot based on lab analysis.
(PRE)  Precision: Precision  and accuracy estimates exist but are  not


                             192

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                             Accession No.   5205000901      (cont)

    included in data base
(EDf )  Editting:  No known edit procedures exist.
(C8Y)  Data collected by: Contractor  URS/ Denver/  CO.
(ABY)  Data analyzed by:  Contractor URS/  Denver/  CO.
    EPA headquarters Priorities and Needs Assessments
    Branch/Facilities Requirements Division
(I0L)  Laboratory identification:  NO
(PR1)  Primary purpose of data collection:  dollar needs
(AUT)  Authorization for  data collection: Statutory authorization  Is  P
    L 95-217,  Section 516(b)  (Clean Water Act-CKA)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms!
    158-R-0139
(REP)  Form of available  reports and  outputs of data base:  Publications
    FRD-1 Cost Estimates-faiannually (Feb. 10 even years)      FRD-2
    Technical  Information
    Printouts  on  request  - Federal and State government only
    Machine-readable raw  data
(MtIS)  Number  of  regular  users of  data base: 100
(USR)  Current regular users  of data  base:  EPA headquarter  offices
    Facilities Requirements Division/ Office of   Water Regulations and
    Standards/ Office of  Research  and Development/  Office  of
    Enforcement,
    EPA regional  offices
    Farmers Home  Administration (FMHA)
    Economic Development  Administration (EDA)
    Department of Energy  (DOE)
    State Environmental Agencies^       private companies
    universities
(CNF)  Confidentiality of data and limits on access: Limits on outside
    access for some data
(DLC)  Primary physical location of data: NCC/IBM
(B3T)  Form of data storage:  Magnetic tape
(BAG)  Type of data access: EPA software  locally  designed program
    M3DS:52Q20Q0104 JEPA  hardware  IBM 370/168 MVS
(CHG)  Direct  charge for  non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Other every two
    years
(RDBEPA)  Related EPA data bases used in  conjunction with this data base
    National Pollutant Discharge  Elimination System (HPDES)j Grants
    Information Control System (GICS)
(CMP)  Completion of form:
    Patrick Brady
    OFC: EPA/(OWWM)/(CWO)/(FRD)
    AD: 401 M  St/ SW Washington/ DC 20460
    PH: (202)  382-7295
CDF)  Bate of  form completion: 01-11-83
(HMAT)  Number of substances  represented  in data  base:  131
(NCAS)  Number of CAS registry numbers in data base: 127
                             183

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                             Accession No.  5205000901
                     (cont)
(MAT)  Substances represented in data
    I/ If I- t rich! oroethane< 71-55-
       6>
       <79-34-5>
    lf 1, 2-trichloroetharte<79-00-5>
    If 1-dichloro ethane <75-34-3>
    l,,l-dichloroethylene<75-35-4>
    l*2,,4,-tirichlorobenzene<120-82-l>
    lf 2-dichlorobenzene<95-50-l>
    l/2-dlchloroethane<107-06-2>
    l,2-dichloropropane<78-87-5>
    If 2-dichloropropylene< 563-54-2>
    l4,2-diphenylhydrazine<122-66-7>
    1, 2-trans-dichloroethylene
       <156-60-5>
    if 3-dichlorobenzene<541-73-l>
    l/4-dichlorobenzerie<106-46-7>
    2, 4,6-trichlorophenol<88-06-2>
    2/ 4/7/ 8- tetr achlorodibenzo-p-
       dioxin (tcdd)
    2,4-dichlorophenol<120-83-2>
    2/ 4-dimethylphenoL<105-67-9>
    2/ 4-dinitrophenol<51-28-5>
    2, 4-dinitrotoluene<121-14-2>
    2/6-dinitrotoluene<606-20-2>
    2-chloronaphthalene<91-58-7>
    2-cMorophenol<95-57-8>
    2-nitrophenol< 88-75-5>
    3,, 4-benzof luoranthene<205-99-2>
    4/4*-ddd(p/p*tde)
    4/ 4 *-dde(p,p --ddx)<7 2-55-9>
    4/4*-ddt<50-29-3>
    4, 6-dini tro-o-c res ol<5 34-5 2-l>
    4-broBiophenyl phenyl ether
       <101-55-3>
    4-ct:lorophenyl phenyl ether
       <7005-72-3>
    4-nitrophenol<100-02-7>
    acenaphthene<83-32-9>
    aceraphthylene< 208-96- 8>
    acrolein<107-02-8>
    aery lonitrile< 107- 13-1>
    aldrin<309-00-2>
    aramonia<7664-41-7>
    anthracene<120-12-7>
    antimony<7440-36-0>
    arsenic<7440-38-2>
    asb€stos<1332-21-4>
    benzene<71-43-2>
    ben7idine<92-87-5>
    benzo(a)anthracene<56-55-3>
ba se :
   benzo(a)pyrene<50-32-8>
   benzo(g/h, i)perylene<191-24-2>
   benzo(k)fluoranthene<207-08-9>
   beryl liun<7440-41-7>
   bhc (lindane)-ganffla<58-89-9>
   bhc-alpha<319-84-6>
   bhc-beta<319-85-7>
   bhc-delta<319-86-8>
   b is (2-chloroethoxy)rae thane
   bis( 2-chloroisopropyl)ether
      <39638-32-9>
   bis(2-ethylhexyl)phthalate
   bis(chloronaethyl)ether<542-88-l>
   broraOH«ethane<74-83-9>
   butyl benzyl phthalate<85-68-7>
   cadmiura<7440-43-9>
   carbon tetrachloride<56-23-5>
   chlordane<57-74-9>
   chlorobenzene<108-90-7>
   chl orodibr omome th ane< 12 4- 4 8-l>
   chloroethane<75-00-3>
   chloroethene<75-01-4>
   chlocoform<67-66-3>
   chloroieethane<74-87-3>
   chcoraium<7440-47-3>
   chrysene<218-01-9>
   copper<7440-50-8>
   cyanide<57-12-5>
   di-n-butyl phthalate<84-74-2>
   di-n-octyl phthalate<117-84-0>
   dibenzo(a/h)anthracene<53-70-3>
   dichlorobr omome thane<75-27-4>
   dichlorodifluoromethane<75-71-8>
   dichlororoethane<75-09-2>
   dieldrin<60-57-l>
   diethyl phthalate<84-66-2>
   dimethyl phthalate<131-ll-3>
   endosulfan sulfate<1031-07-8>
   endosulfan-alpha<959-98-8>
   endosulfan-beta<33213-65-9>
   endrin aldehyde<7421-93-4>
   endrin<72-20-8>
   ethylbenzene<100-41-4>
   fluoranthene<206-44-0>
   fluorene<86-73-7>
   heptachlor epoxide<1024-57-3>
   heptachlcr<76-44-3>
   hexachlorobenzene<118-74-l>
   hexachlorobutadieTie<87-68-3>
                             184

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                         Accession No.  5205000901
                                                           (cent)
hexcchlorocyclopentadiene<77-47~4>
hex6chloroethane<67-72-l>
indeno (l,2/3-cd)pyrene<193-39-5>
isophorone<78-59-l>
leac<7439-92-l>
mercury<7439-97-6>
n-nitrosodi-n-propylaroine
   <621-64-7>
n-nitrosodiraethylamlne<62-75-9>
n-nltrosodiphenylaraine<86-30-6>
naphthalene<91-20-3>
nickel<7440-02-0>
nitrobenzene<98-95-3>
nitrogen<7727-37-9>
oxygen demand
pcb-1016 (arochlor 1016)
   <12674-ll-2>
?cb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
                                         pcb-1248 (arochlor  1248)
                                            <12672-29-6>
                                         pcb-1254 (arochlor  1254)
                                            <11097-69-l>
                                         pcb-1260 (arochlor  1260)
                                            <11096-82-5>
                                         pentachlorophenol<87-86-5>
                                         phenanthrene<85-01-8>
                                         phenol<108-95-2>
                                         phosphorus<7723-14-0>
                                         pyrene<129-00-0>
                                         selenium<7782-49-2>
                                         silver<7440-22-4>
                                         suspended solids
                                         tetrachloroethylene<127-l8-4>
                                         thallium<7440-28-0>
                                         toluene<108-38-3>
                                         toxaphene< 8001-35-2>
                                         tribroiBOfliethane<75-25-2>
                                         trichloroethylene<79-Ql-6>

    pcb-1242 (arochlor 1242)              xylene<1330-20-7>
       <53469-21-9>                      zinc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data  base;  71-55-6
    ; 7S-34-5;  79-00-5; 75-34-3; 75-35-4;       120-82-1;  95-50-1;
    107-06-2;  78-87-5; 563-54-2; 122-66-7;  156-60-5;   541-73-1;
    106-46-7;  88-06-2; 120-83-2; 105-67-9;  51-28-5;  121-14-2;
    606-20-2;  91-58-7; 95-57-8; 88-75-5; 205-99-2; 72-55-9;  50-29-3;
    534-52-1;  101-55-3; 7005-72-3; 100-02-7; 83-32-9; 208-96-8;
    107-02-8;       107-13-1;  309-00-2;  7664-41-7; 120-12-7;  7440-36-0;
    744C-38-2;    1332-21-4; 71-43-2; 92-87-5; 56-55-3; 50-32-8;
    191-24-2;  207-08-9;    7440-41-7; 58-89-9; 319-84-6; 319-85-7;
    319-86-8;  111-91-1;      39638-32-9; 117-81-7; 542-88-1; 74-83-9;
    85-68-7; 7440-43-9; 56-23-5;      57-74-9; 108-90-7; 124-48-1;
    75-CO-3; 75-01-4; 67-66-3; 74-87-3;      7440-47-3; 218-01-9;
    7440-50-8;  57-12-5; 84-74-2; 117-84-0;  53-70-3;        75-27-4;
    75-71-8; 75-09-2; 60-57-1; 84-66-2; 131-11-3; 1031-07-8;
    959-98-8;  33213-65-9; 7421-93-4; 72-20-8; 100-41-4; 206-44-0;
    86-73-7; 1024-57-3; 76-44-8; 118-74-1;  87-68-3;  77-47-4; 67-72-1;
    193-39-5;  78-59-1; 7439-92-1; 7439-97-6; 621-64-7; 62-75-9;
    86-30-6;       91-20-3; 7440-02-0;  98-95-3; 7727-37-9;  12674-11-2;
    11104-28-2;       11141-16-5; 53469-21-9; 12672-29-6;  11097-69-1;
    11096-82-5; 87-36-5;       85-01-8; 108-95-2; 7723-14-0; 129-00-0;
    7782-49-2;  7440-22-4;    127-18-4;  7440-28-0; 108-88-3;  8001-35-2;
    75-25-2; 79-01-6; 75-69-4;       1330-20-7; 7440-66-6
(CNM)  Contact  narae(s): Huang/W. ;8rady/P.
(COR)  Contact  organization:  Priorities and Needs Assessments Branch
(RQR)  Responsible Organization: Office of  Water.Office of  Water
    Programs Operations.Facilities Requirements Division.
                         185

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                             Accession No.   5206000901

(DQ)   Date of Questionaire:  12-02-82
(KAM)  Kame of Data Base of  Model:  Nationwide  Urban  Runoff  Program
(ACR)  Acronym of Data Base  or  Model:  NURP
(MED)  ^edia/Subject of Data Base or  Model:  Atmospheric deposition
    ^Ground water jRunoff urban ^Sediment }     Surface  water  river/
    lake,  impoundment >0ther deposition on street surface
(A8S)  Abstract/Overview of  Data Base or Model: TMs data base  contains
    data taken during storm    events.   The data is taken in receiving
    waters/ control     structures, wetf all/dry fall  deposition
    stations, precipitation    stations, and  in storm sewers.
    Stormwater pollution control     technologies can be evaluated  from
    the data.  For example/   catchments are  swept for a time  period  and
    data taken; then catchments remain unswept for a time,  and  data
    taken in order to evaluate  streetsweeping*  See  our    quarterly
    reports for latest results*
(CTC)  CONTACTS:  Subject matter   Dennis Athayde  (202) 755-2112  ;
    Computer-related    Patty Bubar (202) 755-2114 ; EPA Office  Carl
    Myers (202) 382-7077
(DTP)  Type of data collection  or monitoring:  Non point source  data
    collection
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in Data Base: 5 NESHAPS ;129
    307 CWA ;11 conventional water ;41 CWA potential criteria ;  21
    drinking water standards ;9 potential drinking water ;29  drinking
    water monitoring /   54  TSCA assessment  ;15 metals
(NPP)  Non-pollutant parameters included in  the data base:  Biological
    date ;Chemical data ;Collection method Concentration measures  /
    Cost/economic data ;FloH rates ^Location ^Physical  data ;Political
    subdivisions /    Population demographics  ^Population density
    ;Precipitation jSalinity }      Sampling  date ;Site  description
    ^Temperature ;Test/analysis method ; Treatment  devices
    ;Volume/mass measures ;hydrograph limb:  base/ rising/ peak/ falling
    ;   quality of rain
(D3)   Time period covered by data base: 12-01-78 TO  12-31-82
(TRM)  Termination of data collection: Anticipated 01/30/84
(FRQ)  Frequency of data collection or sampling: less than  hourly flow
    and precipitation yOther daily:  receiving water /    Other varies
    with parameter related to storm events
(NOB)  Number of observations in data base:  2/370,000.(Actual)
(NET)  Estimated annual increase of observations in  data base;  3000000
    ((includes flow)(& precipation).)
(INF)  Data base includes: Raw  data/observations
(NTS)  Total number of stations or sources covered in data  base:  313
(NCS)  Ro, stations or sources  currently originating/contributing data:
    390.
(NGF)  Number of facilities covered in data  base (source monitoring): (N
    /A.)
(GKO)  Geographic coverage of data base: National (U.S.)
(LOC)  Data elements identifying location of station or source  include:
    State ^Congressional district ;City yTown/township  Coordinates
    latltude/longitu Project identifier
(FAC)  Data elements identifying facility include: N/A


                             186

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                             Accession No.   5206000901      (cont)

(CDS)  Pollutant identification data are:  Storet parameter
(LIM)  Limitation/variation in data of which user should be aware:  Prlma
    rily data related to urban storra water  events.     Pollutant
    parameters vary by sample.
(DPR)  Data collect./anal,  procedures conform to CRO guidelines:  Samplin
    g plan documented ^Collection method documented ^Analysis method
    document QA procedures  documented
(ANL)  Lab analysis based on EPA-approved  or accepted methods? YES
(AUD)  Lab Audit:  Lab audit is satisfactory.
(PRE)  Precision:  Precision and accuracy estimates exist but are  not
    included in data base*
(EOT)  Editting: No known edit procedures  exist.
(CBY)  Data collected by: Local agency twenty-seven 208 Agencies  ;State
    agency some states (role varies by Contractor to 208 Agency ;0ther
    federal agency U.S. Geological Survey/  Tennessee     Valley
    Authority
(ABY)  Data analyzed by: Local agency twenty-seven 208 Agencies
    EPA lab providing standards
    Contractor Woodward/Clyde
    Other federal agency U.S. Geological Survey, Tennessee  Valley
    Authority
    EPA headquarters Mater Planning Division
(IDL)  Laboratory identification: NO
(AUT)  Authorization for data collection:  Statutory authorization is P
    L 92-500 as amended, Section 208 (Clean Water  Act-CWA)
(OMB)  Data collected/submitted using OMB-apprcved EPA reporting  forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    Quarterly Progress Report Nationwide Urban Runoff   Program (write
    EPA mail code MH-554)
    Printouts on request
    Machine-readable raw data
(NUS)  dumber of regular users of data base: 50
(USR)  Current regular users of data base:  SPA headquarter  offices
    Office of Water Program Operations/Water Planning Division
    Other federal agencies
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data:  Headquarters office
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software STORET  MIDS:5303000101  ;EPA
    hardware IBM 3032; IBM 370/168 model 1
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Monthly
(RSS)  Related EPA automated systems which use data base: STCRET
    (Storage and Retrieval of   Water Quality Data)
(CMP)  Completion of form:
    Dennis Athayde (WH-554)
    OFC: EPA/(OhMM)/(QWPO)/(WPD)
    AD: 401 M St. Stf Washington, DC 20460
    PH: (202) 755-2112
(DF)  Date of form completion: 01-13-83


                             187

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                             Accession So.   5206000901
                  (cont)
(NMAT)  Number of substances represented in data bass:  155
(NCAS)  Number of CAS registry numbers in data base: 206
(MAT)  Substances represented in data base:
    lf1,1-trichloroe thane<71-55-
       6>
    1/1/2,2,-tetrachloroethane
       <79-34-5>
    1,l,2-trichloroethane<79-00-5>
    I,l,2-trichloroethene<79-01-6>
    I/l-dichloroethane<75-34-3>
    l/l-dichloroethylene<75-35-4>
    l,2/4/-trichlorobenzene<120-82-l>
    l/2-dichlorobenzene<95-50-l>
    l,2-dichloroethane
    If2-dlchloropropane<76-87-5>
    l/2-dichloropropylene<563-54-2>
    l,2-diphenylhydrazine<122-66-7>
    If 2-trans-dichloroethylene
       <156-60-5>
    l/3-dichlorobenzene<541-73-l>
    I/4-dichlorobenzene<106-46-7>
    2, 4f 6-trichlorophenoK 88-06-2>
    2f 4/7y8-tetrachlorodibenzo-p-
       dioxin (tcdd)
    2,4-dichlorophenol<120-83-2>
    2f 4-dimethylphenol<105-67-9>
    2, 4-dinttrophenol<51-28-5>
    2/4-dinitrotoluene<121-14-2>
    2,6-dinitrotoluene<606-20-2>
    2-chloroethylvinyl ether<110-75-8>
    2-chloronaphthalene<91-58-7>
    2-chlorophenol<95-57-8>
    2-nitrophenol<88-75-5>
    3,3'-dichlorobenzidine<91-94-l>
    3,4-benzofluoranthene<205-99-2>
    4/4'-ddd(p/p'tde)
    4,4'-dde(p/p'-ddx)<72-55-9>
    4/4--ddt<50-29-3>
    4/6-dinatro-o-cresol<534-52-l>
    4-bromophenyl phenyl ether
       <101-55-3>
    4-cHorophenyl phenyl ether
       <7005-72-3>
    4-nitrophenol<100-02-7>
    acenaphthene<83-32-9>
    acer>aphthylene<208-96-8>
    acidity
    acrolein<107-02-8>
    acrylonitrile<107-13-l>
    aldrin<309-00-2>
    alkalinity
    amiBoni a<7664-41-7>
anthracene<120-12-7>
antimony<7440-36-0>
arsenic<7440-38-2>
asbestos<1332-21-4>
atrazine<1912-24-9>
benzene<71-43-2>
benzidine<92-87-5>
benzo(a)enthracene<56-55-3>
benzo(a3pyrene<50-32-8>
benzo(g/h/i)perylene<191-24-2>
benzo(k)fluoranthene<207-08-9>
beryl liuni<7440-41-7>
bhc (lindane)-gamma<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
b is (2-chloroethoxy)me thane
   <111-S1-1>
bis(2-chloroethyl) ether 
bis(2-chloroisopropyl)ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis(chloroinethyl)ether<542-8a-l>
bromomethane<74-83-9>
butyl benzyl phthalate<85-68-7>
cadmium<7440-43-9>
carbon tetrachlorlde<56-23-5>
chlordane<57-74-9>
chlorobenzene<108-90-7>
chlorodibromo roe thane < 12 4-48-1 >
chloroethana<75-00-3>
chlorofcrm<67-66-3>
chloromethane<74-87-3>
chromiuro<7440-47-3>
chrysene<218-01-9>
cobalt<7440-48-4>
copper<7440-50-8>
cyanide<57-12-5>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
dibenzo(a/h)anthracene<53-70-3>
dichlorobrowomethane<75-27-4>
dichlorodifluorojnethane<75-71-8>
dichloroaethane<75-09-2>
dieldrin<60-57-l>
diethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
dioxin<828-00-2>
                             188

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                             Accession No.   5206000901
                  (cont)
    dissolved oxygen
    dissolved solids
    endosulfan sulfate<1031-07-8>
    endosulfan-alpha<959-98-8>
    endosulfan-beta<33213-65-9>
    endrin aldehyde<7421-93-4>
    endrin<72-20-8>
    ethylbenzene<100-41-4>
    fecal coliform
    fluoranthene<206-44-0>
    fluorene<86-73-7>
    heptachlor epoxide<1024-57-3>
    heptachlor<76-44-8>
    hexachlorobenzene<118-74-l>
    he3C£chlorobutadiene<37-68-3>
    hexachlorocyclopentadiene<77-47-4>
    hexachloroethane<67-72-l>
    hexacloroethane<67-72-l>
    indeno (l,2,3-cd)pyrene<193-39-5>
    iron<7439-89-6>
    isophorone<78-59-l>
    lea
    lindane<58-89-9>
    malathion<121-75-5>
    manganese<7439-96-5>
    mercury<7439-97-6>
    me thoxychlor<7 2-43-5>
    microbiology coliform bacteria
    n-nitrosodi-n-propylaraine
       <621-64-7>
    n-nitrosodiniethylainine<62-75-9>
    n-nltrosodlphenylaraine<86-30-6>
    naphthalene< 91-20-3>
    nickel<7440-02-0>
    nitrate<14797-55-8>
    nitrates/nitrites
    nitrobenzene<98-95-3>
oil and grease
oxygen demand
p-chloro-m-cresol<59-50-7>
PH
pHenanthrene<85-01-8>
pHenol<108-95-2>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochior 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorophenol<87-86-5>
phosphorus and compounds
   <7723-14-0>
phosphorus<7723-14-0>
pyrene<129-00-0>
seleniuiu<7782-49-2>
silver<7440-22-4>
suspended solids
tetrachloroethylene<127-18-4>
thallium<7 440-28-0>
toluene<108-88-3>
toxaphene<8001-35-2>
tribroBOKethane<75-25-2>
trichloroethylene<79-01-6>
t rich lorof luoromethane< 75-6 9-
vinyl chloride<75-01-4>
zinc<7440-66-6>
                             4>
    nitrogen<7727-37-9>
(CAS)  CAS registry numbers of substances included in data base:  71-55-6
    } 79-34-5;  79-00-5; 79-01-6; 75-34-3?       75-35-4? 120-82-1;
    95-50-1;  107-06-2;  78-87-5? 563-54-2? 122-66-7?    156-60-5?
    541-73-1; 106-46-7; 88-06-2; 120-83-2; 105-67-9? 51-28-5?
    121-14-2? 606-20-2? 110-75-8; 91-58-7; 95-57-8; 88-75-5; 91-94-1;
    205-99-2; 72-55-9;  50-29-3? 534-52-1; 101-55-3; 7005-72-3;
    100-02-7;       83-32-9; 208-96-8; 107-02-8? 107-13-1? 309-00-2;
    7664-41-7;  120-12-7;      7440-36-0? -7440-38-2? 1332-21-4?
    1912-24-9;  71-43-2? 92-87-5?    56-55-3?  50-32-3; 191-24-2;
    207-08-9? 7440-41-7; 58-89-9; 319-84-6?   319-85-7; 319-86-8;
    111-91-1; 111-44-4; 39638-32-9? 117-81-7?    542-88-1? 74-83-9?
    85-68-7?  7440-43-9; 56-23-5; 57-74-9? 108-90-7?    124-48-1;
    75-00-3;  67-66-3; 74-87-3; 7440-47-3; 218-01-9? 7440-48-4;
    7440-50-8;  57-12-5? 84-74-2; 117-84-0; 53-70-3? 75-27-4; 75-71-8?
                             189

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                             Accession No.   5206000901     (cont)

    75-09-21 60-57-1; 84-66-2; 131-11-3; 828-00-2; 1031-07-8; 959-98-8;
    33213-65-9; 7421-93-4; 72-20-8; 100-41-4; 206-44-0; 86-73-7;
    1024-57-3; 76-44-8; 118-74-1; 87-68-3;  77-47-4; 67-72-1; 67-72-1;
    193-39-5; 7439-89-6; 78-59-1; 7439-92-1; 58-89-9; 121-75-5;
    7439-96-5; 7439-97-6; 72-43-5; 621-64-7; 62-75-9; 86-30-6; 91-20-3;
    7440-02-0; 14797-55-8; 98-95-3; 7727-37-9; 59-50-7; 85-01-8;
    108-95-2; 12674-11-2; 11104-28-2; 11141-16-5; 53469-21-9;
    12672-29-6;      11097-69-1; 11096-82-5; 37-86-5; 7723-14-0;
    7723-14-0; 129-00-0;      7782-49-2; 7440-22-4; 127-18-4;
    7440-28-0; 108-88-3; 8001-35-2;       75-25-2; 79-01-6; 75-69-4;
    75-C1-4; 7440-66-6
       Contact name(s): Athayde,0./    Graham^P. ;    Hise,P.
(ROR)  Responsible Organization: Office of Water.Office of fcater
    Programs Operations.Mater Planning Division.
                             190

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                             Accession JIo.   5206000902

(DQ)   Date of Questionaire:  12-02-82
(MAM)  Kame of Data Base of  Model!  Michigan Ground  Kater  Strategy
(ACR)  Acronym of Data Base  or Model:  STORET M
(MED)  Media/Subject of Data Base or  Model:  Drinking water  ;Ground
    water
(ABS)  Abstract/Overview of  Data Base or Model:  As  part of  a  larger
    project to develop a state ground water management  strategy/ the
    Michigan Department of Natural  Resources     sill be  collecting
    ground water quality data for specific  sites in    support  of  case
    history development.  The parameters to be sampled    will  vary
    frotr site to site/ but all data will be entered into  the
(CfC)  CONTACTS: Subject matter    Mike Phillips  (312) 353-2160   ;
    SPA Office Dennis Aythayde   (202) 382-7112
(DTP)  Type of data collection or monitoring: Combination/Other point
    (industrial) and non-point
(STA)  Data Base status: Funded for development
(CPQ)  Projected operational date of  Data Base:  04-00-82
(DS)   Time period covered by data base: 03-01-81 TO 04-30-82
(TKM)  Termination of data collection: Anticipated  04/30/82
(FRQ)  Frequency of data collection or sampling: Other  Frequency not
    yet specified/ some repeat sampling will be  dene
(NOB)  Number of observations in data base: 0.(Actual)
(WEI)  Estimated annual increase of observations in data  base:  (Unknown.
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources  covered  in data  base: 3.
(NCS)  No. stations or sources currently originating/contributing  data:
    0.
(NOF)  Number of facilities  covered in data base (source  monitoring):  0.
(CEO)  Geographic coverage of data base: Single  state Michigan
(CDE)  Pollutant Identification data  are: Storet parameter
(LIM)  Limitation/variation  in data of which user should  be aware: Data
    collection to be done at 3 contamination     sites, added to
    existing data/ will constitute eight case   studies*  Data  quality
    assurance procedures under development.   Lab to do data  analysis
    not yet selected.
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Analysi
    s method documented

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                             Accession No.   5206000902      (cont)

    litigation is resolved)
(NUS)  Number of regular users of data base: None yet
(USR)  Current regular users of data base:  EPA headquarter offices
    Water Planning Division
    States

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                             Accession No.   5206000903

(DQ)   Date of Questionaire:  12-02-82
(NAM)  J*air,e of Data Base of  Model:  Globe/Miami national Prototype
    Groundwater Project
(ACR)  Acronym of Data Base  or Models  None
(HED)  Media/Subject of Data Base or  Model:  Drinking Mater  >Ground
    water
(ABS)  Abstract/Overview of  Data Base or Model: A monitoring  network
    for various minerals Kill be established to determine the impact  of
    past and present     mining practices on water quality  in the
    Globe/Miami area   of Arizona.  The data uill be used to  develop
    local controls     and best management practices for the  industry.
    This project    is being conducted in cooperation with  local mining
    controls.
(CTC)  CONTACTS: Subject matter   Carole Biegler  454-8347           ;
    Computer-related  Doris  Betuel }  EPA Office Mater Planning
    Division (202) 382-7112
(DTP)  Type of data collection or monitoring:  Combination/Other  ambient
    monitoring for nonpoint  sources of pollution
(STA)  Data Base status: Funded for development; drafts in  process,
    estimate     completion  in April  or May/ *83.
(DPO)  Projected operational date of  Data Base: 03-00-81
(HPP)  $on-pollutant parameters Included in  the data base:  Disposal
    ^Industry ^Location ^Physical data >Political subdivisions ;
    Population density /Production levels ;Site description
(DS)   Time period covered by data base: 03-01-80 to 04-30-83
(TRM)  Termination of data collection: Anticipated 04/30/83
(FRQ)  Frequency of data collection or sampling: Dther  Data collection
    completed
(SOB)  Number of observations In data base:  Not available at  this  time
(NEI)  Estimated annual increase of observations in data base: (Unknown.
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources covered in data  base:  (Unknow
    n. )
(NCS)  No. stations or sources currently originating/contributing  data:
    0.
(NQF)  fJuntber of facilities  covered In data  base (source monitoring): 0.
(GEQ)  Geographic coverage of data base: County/snaller location Gila
    County, Arizona
(LQC)  Data elements identifying location of station or source include:
    State ^County ^drainage  basin
(FAC)  Data elements identifying facility include! drainage basin
(CDS)  Pollutant identification data  are: Storet parameter
(LIM)  Limitation/variation  in data of which user should be aware: Data
    quality assurance procedures acceptable  to EPA approved
(C8Y)  Data collected by: Local agency Central Arizona  Association of
    Governments ;Contractor  Snvirologic
(ABY)  Data analyzed by: Local agency Central Arizona Association  of
    Governments
    Contractor Envirologic Systems, Inc.
(IDL)  Laboratory identification: NO
(AUT)  Authorization for data collection: No statutory  requirement:
    Data collection requirement is    to determine the  source of


                             193

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                             Accession No.   5206000903      (cont)

    pollution and the needed controls.  The project is  jointly-funded
    by mining companies.
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base:  EPA  has
    requested that the data be put in the STORET system ;  being
    accomplished
(NUS)  Number of regular  users of data base: 10 estimated
(USR)  Currant regular users of data base:  EPA headquarter  offices
    Hater Planning Division
    States
    Central Arizona Association of Governments
    Mining companies
(CNF)  Confidentiality of data and limits on access: No limits  on
    access to data
(DLC)  Primary physical location of data: Contractor
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software STORET  KIDS:5303000101 ;EPA
    hardware IBM 370/168
(CHG)  Direct charge for  non-EPA use: no
(UPOT)  Frequency of data base master file  up-date: No  up-dates
    scheduled
(RSS)  Felated EPA automated systems which  use data base:  Storage  and
    Retrieval of Water Related Data (SfORET)
(RD8SPA)  Related EPA data bases used in conjunction with  this  data base
    Neti Mexico Ground Water Project
(RDB)  Non-EPA data bases used in conjunction tilth this data base:  Relat
    ed state data
(CMP)  Completion of form:
    Ned Kendrick
    OFC: EPA/Water Planning Division
    AD: 401 M St. SW Washington/ DC 20460
    PH: (202) 382-7112
(DF)  Date of form completion: 02-25-83
(NMAT)  Number of substances represented in data base:  18
(NCAS)  Number of CAS registry numbers in data base: 2
(MAT)  Substances represented in data base:
    copper<7440-50-8>                    sodium
    iron<7439-89-6>                      potassiuo
    manganese                            silica
    zinc                                 bicarbonate
    aluminum                             chloride
    cadmium                              sulfate
  i  selenium                             nitrate
    manor ions of calcium                total dissolved solids &  arsenic
    magnesium
(CAS)  CAS registry numbers of substances included in data base: 7440-50
    -8; 7439-89-6
(CMM)  Contact narae(s): Athayd«,D.  ;  Biegler/C.E. (Region)
(CQR)  Contact organization: Water Planning Division
(RCIK)  Responsible Organization: Office of  Mater.Office of  later
    Programs Operations.Water Planning Division.


                             194

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Accession No.  5206000903     (cont)
195

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                             Accession No.   5206000904

(DQ)  Date of Questionaire: 12-02-82
(HAM)  Karae of Data Base of Model:  New Jersey Permit Program
(ACR)  Acronym of Data Base or Model:  None
(MED)  vedia/Subject of Data Base or Model:  Effluents Lagoons,
    landfills, land application of  sludge/seepage,  and   other effluents
    /Ground water
(ABS)  Abstract/Overview of Data Base or Model;  The State of New  Jersey
    is developing a ground water   discharge control program as part  of
    their State Pollutant  Discharge Elimination System (3PEDES)  permit
    program.  Funding for    this project authorized by Section 208 of
    the Clean Water Act.   Included is a task which will monitor  SO
    permitted sites to insure compliance with the issued permits.
(CTC)  CONTACTS:  Subject matter   Tony Conetta  (609) 264-3279    ;
    EPA Office  liater   Planning Division  (202) 382-7112
(DTP)  Type of data collection or monitoring: Combination/Other any
    permitted source, both point and non-point  sources
(STA)  Data Base status: Funded for development; project completed
(DPO)  Projected operational date of Data Base:  05-00-81

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                             Accession No.   5206000904      (cont)

(USR)  Current regular users of data base:  States
(CNF)  Confidentiality of data and limits on access:  Limits on outside
    access for some data
(DLC)  Primary physical location of data: State agency
(UPDT)  Frequency of data base master file up-date:  Other  As data
    becomes available
(RDBEPA)  Related EPA data bases used in conjunction with  this data base
    HPDES data bases    Related non-EPA data bses:   New York State
    Ground Water     SPDES program
(CMP)  Completion of form:
    Joar Schamm
    OFC: EPA/Hater planning Division
    AD: 401 M St/ SU Washington, DC 20460
    PH: (202) 426-2474
(DF)  Date of form completion: 02-25-83
(NMAT)  Number of substances represented in data base:  25
(NCAS)  Number of CAS registry numbers in data base: 12
(HAT)  Substances represented in data base:
    ammonia nitrogen                     nickel<7440~02-0>
    arsenic<7440-38-2>                   nitrate nitrogen
    barlura<7440-39-3>                    oil and grease
    biological oxygen demand (BOD)       petroleum  hydrocarbons
    cadmiuni<7440-43-9>                   residual chlorine
    chewical oxygen demand (COD)         seleniura<7782-49-2>
    chlorinated hydrocarbons             total dissolved solids (TDS)
    chlcrine<7782-50-5>                  total nitrogen
    chromium<7440-47-3>                  total organic  carbon (TOO
    copper<7440-50-8>                    total phosphates
    cyanlde<57-12-5>                     total suspended solids (TSS)
    lead<7439-92-l>                      zinc<7440-66-6>
    mercury<7439-97-6>
(CAS)  CAS registry numbers of substances Included  in data base:  7440-36
    -2; 7440-39-3; 7440-43-9; 7782-50-5;   7440-47-3? 7440-50-8;
    57-12-5; 7439-92-1; 7439-97-6; 7440-02-0;       7782-49-2;
    7440-66-6
(CNM)  Contact narae(s): John Trela (New Jersey)  (609)  292-0424
(COR)  Contact organization: Water Planning Division
(ROR)  Responsible Organization: Office of Hater.Office of Water
    Programs Operations.Water Planning Division.
                             197

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                             Accession No.   5206000905

(DQ)  Dcte of Questionaire: 12-02-82
(HAM)  ?;ai«e of Data Base of Model:  Biscayne Aquifer  Project
(ACR)  Acronym of Data Base or Model:  None
(MED)  ^edia/Subject of Data Base or  Model: Ground  water
UBS)  Abstract/Overview of Data Base  or Model:  The  State  will  be
    monitoring several hazardous   waste Impoundments  located  over  the
    Biscayne Aquifer in     order to  characterize the movement  of
    hazardous materials   in the aquifer for the development  of State
    regulations.     Conditional approval has been given to this project
(CTC)  CONTACTS:  Subject matter   Rodney DeHan/Jion  Leins   (904)
    488-3601/9560    ;     Computer-related  S/A 48;  EPfl  Office teater
    Planning Division (202) 382-7112
(DTP)  Type of data collection or monitoring:  Non point source  data
    collection
(STA)  Data Base  status: Funded for development; final  report scheduled
    for completion 02-28-83
(DPO)  Projected  operational date of Data Base:  02-00-81
(DS)  Time period covered by data base: 02-01-81 TO  12-30-81
(TRM)  Termination of data collection: Anticipated  12/30/81
(FPQ)  Frequency  of data collection or sampling:  as  needed
(NQ3)  Number of  observations in data  base: 2800(Approxiroately)
(NEI)  Estimated  annual increase of observations in  data base:  (K/A)
(IMF)  Data base  includes: Raw data/observations ;Summary  aggregate
    observations
(MTS)  Total number of stations or sources  covered  in data base: 1-8,
(HCS)  No. stations or sources currently originating/contributing  data:
    I
(NOF)  Number of  facilities covered in data base (source monitoring):  (N
    /A.)
(GEO)  Geographic coverage of data base:  Single  state Florida
(LIN)  Limitation/variation in data of which user should be  aware: Guali
    ty assurance  procedures which were in   effect  when data  was
    gathered are  unknown/ currently.
(CBY)  Data collected by: State agency Florida Department  of
    Environmental Regulation
(A8Y)  Data analyzed by: State agency  Florida Department of
    Environmental Regulation
(PR1)  Primary purpose of data collection:  Development  of  regulations
    or standards
(PH2)  Secondary  purpose of data collection; Anticipatory/research
(AUT)  Authorization for data collection: Statutory  authorization  is P
    L 92-500 (Clean later Act-CMA)  as  amended/     Section 208
(OMB)  Data collected/submitted using OMB-approved  EPA  reporting forms:
  s  QQ
(REP)  Form of available reports and  outputs of  data base: Publications
    Final report  and quarterly reports to be sent to EPA      (Draft
    final report  completed)
(NUS)  Number of  regular users of data base: 1 office
(USR)  Current regular users of data base:  States
(DLC)  Primary physical location of data: State  agency
(UPDT)  Frequency of data base master  file  up-date:  Other  One time data
    collection


                             198

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                             Accession No.   5206000905      (cont)

(RDBEPA)  Related FPA data bases used in conjunction with  this  data  base
    Surface Impoundment Assessment Data Base
(CMP)  Completion o± form:
    Joan Schamm
    OFC: EPA/Water Planning Division
    AD: 401 M  St, SW Washington, DC 20460
    PH: (202)  426-2474
(OF)  Dete of  form completion:  02-25-83
(NMAT)  Number of substances represented in data base:  2
(MAT)  Substances represented in data base!
    biological oxygen demand             chlorinated hydrocarbons
       (BOD)
(CNM)  Contact nacoe(s): DeHan,R. (904) 488-3601
(COR)  Contact organization: Water Planning Division
(RQR)  Responsible Organization: Office of  Mater.Office of Mater
    Programs Operations.Water Planning Division.
                             199

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                             Accession No.   5206000906

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Metals  Data Base-Kansas
(ACR)  Acronym of Data Base  or Model:  STQRET-K
(MED)  Kedla/Subject of Data Base or Model:  Ground  water
(ABS)  Abstract/Overview of  Data Base  or Model:  Metals  determination
    and coliform bacteria in     grounduater resulting  from  irrigation,
    agriculture/ solution     salt mining  and, disposal of  sewage  In
    underground mines and     sink holes.
(CTC)  CONTACTS: Subject matter   EPA  Office  Office Sater Planning
    Division (202)382-7112
(DTP)  Type of data collection or monitoring:  Son point source  data
    collection
(STA)  Data Base status: Project Completed
(GRP)  Groups of substances  represented in Data  Base: 15  metals
(NPP)  Non-pollutant parameters included in  the  data base: Chemical
    data ;Salinity ;Site description ;specific conductance ;  pH
(DS)  Time period covered by data base: 06-01-79 TO 06-30-82
(TRM)  Termination of data collection: Anticipated  06/30/82
(FRQ)  Frequency of data collection or samplings as needed
(NOB)  Number of observations in data  base:  28620,(Estimated)
(NED  Estimated annual increase of observations in data  base:  0 *
    project completed.
(INF)  Data base includes: Ray data/observations ;Summary aggregate
    observations
(NTS)  total number of stations or sources covered  in data base: 500.
(NCS)  Ko. stations or sources currently originating/contributing  data:
    335.
(NQF)  Number of facilities  covered in data  base {source  monitoring):  0*
(GEO)  Geographic coverage of data base: Single  state Kansas
(LOC)  Data elements identifying location  of station or source  include:
    State }County
(FAC)  Data elements identifying facility  include:  Plant  facility  name
(CDE)  Pollutant identification data are:  Storet parameter
(LIM)  Limitation/variation  in data of which user should  be  aware: Host
    recent data collection has concentrated  on nitrate  nitrogen.   Data
    is presently accessable  through NASDEX? plans  are  to enter into
    STOEET
(DPR)  Data collect./anal, procedures  conform to CRD guidelines: Samplln
    g plan documented ^Collection method documented ^Analysis method
    document
(AND  Lab analysis based on EPA-approved  or accepted methods?  YES
(AUD)  Lab Audit: Lab audit  is satisfactory.
(PRE)  Precision: Precision  and accuracy estimates  exist  but  are not
    included in data base
(EOT)  Editting: Sdit procedures used  but  undocumented.
(CBY)  Data collected by: State agency Kansas Geological  Survey; Kansas
    Dept. Health & Environment Kansas  Water  Resources Board  ;0ther
    federal agency U.S. Geological Survey
(ABY)  Data analyzed by: State agency  Kansas Geological Survey/ Kansas
    Dept. of Health    & Environment,  Kansas Water  Resources  Board
    Other federal agency U.S. Geological Survey
    Kansas State University/ University of Kansas


                             200

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                             Accession No.   5206000906     (cent)

(IOL)  Laboratory identification:  YES
(PR1)  Primary purpose of data collection:  Develop Kansas State Ground
    Water Management Plan
(AUT)  fluthorization for data collection:  No statutory requirement:
    Data collection requirement is    Development of Kansas ground
    water management plan.
(OM8)  Data collected/submitted using QMS-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Final Report
    to be sent to EPA
(RUS)  Dumber of regular users of data basei 10 plus locally as data
    base is being developed
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Water Program Operations/  Water Planning Div.      Other
    federal agencies   States
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data:  State agency
(DST)  Form of data storage: Magnetic disc
(OAC)  Type of data access: EPA software STQRET  HIDS:5303000101 ;EPA
    hardware IBM 370/168
(CKG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base raaster file up-date: Saani-annually
(RDB)  Bion-SPA data bases used in conjunction with this data base: NAKDE
    X
(CMP)  Completion of form:
    A.L. Jenke
    OFC: Policy and Evaluation Branch, Water Planning Div«,
    Office of Water Program Operations
    AD: 401 M Street, SW Washington, DC 20460
    PH: (202) 426-2474
(OF)  Date of form completion: 03-22-83
(NMAT)  Nuatber of substances represented in data base: 9
(NCAS)  Number of CAS registry numbers in data base: 5
(MAT)  Substances represented in data base:
    potassium<7440-09-7>                 carbonate
    barium<7440-39-3>                    coliform bacteria
    bi-carbonate                         magnesium
    boron compounds                      sodium<7440-23-5>
       <7440-42- cadmium<7440-43-9>
(CAS)  CAS registry numbers of substances included in data  base: 7440-09
    -7; 7440-39-3; 7440-23-5
(COR)  Contact organization: Office Water Program Operations
(RQR)  Responsible Organization: Office of Water.Office of  Water
    Programs Operations.Water Planning Division.
                             201

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                             Accession Ho.   5206000907

(DQ)   Date of Questiouaire:  12-02-82
(NAM)  Karoe of Data Base of  Model:  Metals Data  Base-New  Mexico
(ACR)  Acronym of Data Base  or  Model:  WATSTORE
(MED)  Media/Subject of Data Base or Model:  Ground  water
(ABS)  Abstract/Overview of  Data Base  or Model: Metals and  radioactive
    materials in groundvater   resulting from uranium mining  and
    milling operations.  Grants Mineral Belt area/  New Mexico.  Data
    reported in     mg/liter.
(CTC)  CONTACTS: Subject matter   Ben  Longorla   (214) 767-8988  ;    EPA
    Office  Office Water Planning Division   (202) 382-7112
(DTP)  Type of data collection  or monitoring: Non point  source  data
    collection
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in  Data Base: 15 metals
(NPP)  Ken-pollutant parameters included in the data base:  Chemical
    data ^Salinity ;Site description ;Temperature ^Specific conductance
    at  Field conductance corrected to 25 degrees C. ;Field pH
    ^Dissolved Oxygen ; Oxidation-Redoction ^Potential ;Water levels
    jaquifer parameters (hydrologic)
(DS)   Time period covered by data base: 04-00-78 TO 05-00-33
(TRM)  Termination of data collection: Anticipated  05-00-83
(FRQ)  Frequency of data collection or sampling: quarterly  ;as  needed
(NOB)  Number of observations in data  base:  5000.(Estimated)
(NET)  Estimated annual increase of observations in data base:  (Unknown.
(IUF)  Bata base includes: Raw  data/observations
(NTS)  Total number of stations or sources  covered  in data  base:  56.
(NCS)  No. stations or sources  currently originating/contributing data:
    44.
(MQF)  Number of facilities  covered in data base (source monitoring): 9.
(GEO)  Geographic coverage of data base: Single state New Mexico
(LQC)  Data elements identifying location of station or  source  include:
    State jTown/townshlp ;sample Source
(FAC)  Data elements identifying facility include:  Plant facility name
(CDF)  Pollutant identification data are: Other coding scheme/  stored
    in STORET
(LIM)  Limitation/variation in  data of which user should be aware:  Data
    presently STORET.
(ANL)  Lab analysis based on EPA-approved or accepted methods?  YES
(AUD)  Lab Audit: Lab audit is  satisfactory.
(PRE)  Precision: Precision and accuracy estimates  exist but are  not
    included In data base
(EOT)  Editting: No known edit  procedures exist.
(CBY)  Data collected by: State agency New  Mexico Environmental
    improvement Division ; Other federal agency U.S. Geological Survey
(ABY)  Data analyzed by: Contractor lab various for radioactive sample
    Other federal agency U.S. Geological Survey
(IDL)  Laboratory identification: NO  (3 contract labs)
(PR1)  Primary purpose of data  collection:  Technology development
(PR2)  Secondary purpose of data collection: Revise current groundwater
    laws
(AUT)  Authorization for data collection: No statutory requirement:
    Data collection requirement is to  measure intensity  and trend of


                             202

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                             Accession So.   5206000907     (cont)

    ground water pollution in mine    area.
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Final report
    to be sent to EPA
(NOS)  Number of regular users of data base: 5-10 state people as data
    base is developed
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Hater Program Operations/ Water     Planning  Division
    EPA regional offices
    Other federal agencies
    States
(CNF)  Confidentiality of data and Units on access: Mo limits on
    access to data
(DLC)  primary physical location of data: State agency
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA softyare STORET  KIDS:5303000101 ;£PA
    hardware IBM 370/168
(CHG)  Direct charge for nori-EPA use: yes
(UPDT)  Frequency of data base master file  up-date: Continuous
(CMP)  Completion of form:
    A.L* Jenke
    OFC: policy and Evaluation Branch/ Water Planning Div./ Office
    o.f fcater Program Operations
    AD: 401 H St., SW Washington/ DC 20460
    PH: (202) 426-7112
(DF)  Date of form completion: 02-25-83
(JJMAT)  Number of substances represented in data base: 25
(NCAS)  Number of CAS registry numbers in data base: 12
(MAT)  Substances represented in data base:
    aluminuffl<7429-90-5>                  uraniun<7440-61-l>
    arseidc<7440-38-2>                   vanadiura<7440-62-2>
    barium<7440-39-3>                    zinc<7440-66-6>
    cadmium<7440-43-9>                   calcium
    gross alpha                          magnesium
    lead 210                             sodium
    lead<7439-92-l>                      potassium
    molybdenum and compounds             chloride
       <7439-98-7>                       sulfate
    radium 226<13982-63-3>               bicarbonate
    radium 228<15262-20-1>               floride
    radon 222                            phosphate
    selenium<7782-49-2>                  silica
(CAS)  CAS registry numbers of substances included in data  base: 7429-90
    -5; 7440-38-2; 7440-39-3; 7440-43-9;   7439-92-1; 7439-98-7;
    13982-63-3; 15262-20-1; 7782-49-2; 7440-61-1;   7440-62-2;
    7440-66-6
(COR)  Contact organization: EPA Water Planning Division
(ROR)  Responsible Organization: Office of  Water.Office of  Water
    Programs Operations.Water Planning Division.
                             203

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                             Accession io.   5206000908

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Kame of Data Base of Model; Nutrient Data Ease-Nebraska
(ACR)  Acronym of Data Base or Model: STORST K
(MED)  Nedia/Subject of Data Base or Models Ground water ;Soil
(A8S)  Abstract/Overview of Data Base or Model:  Monitoring  of shallow
    aquifer nitrate reduction   program in  the Platte River valley.
    Program intended to    reduce nitrate content of the shallow
    aquifer by recycling  water for agricultural use.
(CTC)  CONTACTS; Subject matter   A.L. Jenke  (202) 426-2474 ;
    Computer-related  not yet kno
(DTP)  Type of data collection or monitoring:  Non point source data
    collection
(STA)  Data Base status: Operational/ongoing
(NPP)  Non-pollutant parameters included in the  data base:  Chemical
    date
CDS)  Time period covered by data base: 06-01-79 TO 12-31-83
(TRM)  Termination of data collection: Anticipated 06/30/82
(FRQ)  Frequency of data collection or sampling: sen! annually
(NQ8)  lumber of observations in data base: 795.(Estimated)
(8El)  Estimated annual increase of observations in data base: 3CO.
(INF)  Data base includes: Raw data/observations
(WTS)  Total number of stations or sources  covered in data  base: 65.
(JiCS)  Ko. stations or sources currently originating/contributing data:
    65.
(NQF)  tfurcber of facilities covered in data base (source monitoring): 65
    (farms.)
(GEO)  Geographic coverage of data base: County/smaller location Hall
    County/ Nebraska
(LOC)  Data elements identifying location of station or source include:
    State ^County
(FAC)  Data elements identifying facility include: Hall County ACP
    Special Project
(CDS)  Pollutant Identification data are: Storet parameter
(LiM) . Limitation/variation in data of which user should be aware: None
(DPR)  Data collect./anal. procedures conform to ORD guidelines: Sanplin
    g plan documented ^Collection method documented ^Analysis method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit is satisfactory.
(P.RE.)  Precision: Precision and accuracy estimates exist for all
    measurements
(EOT)  Fditting: Edit procedures used but undocumented.
(CBY)  Cata collected by: State agency Nebraska Dept. of Environmental
    Control Contractor lab M/A ;  Other federal agency U.S. Geological
    Survey /Nebraska Agricultural Conservation Program Group (15 f
    Ce.g. FHA3, state/ and county agencies,  and the National
    Fertilizer Association and University of
(ABY)  Data analyzed by: State agency Nebraska Dept. of Environmental
    Control
    Contractor lab N/A
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Technology development


                             204

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                             Accession No.   5206000908     (cont)

(PR2)  Secondary purpose of data collection: Special study
(AUT)  Authorization for data collection: No statutory requirement:
    Data collection requirement is    Project aimed at reducing
    nitrates in local ground water regimen.
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Forfti of available reports and outputs of data base: Unpublished
    reports Interim progress reports
(NUS)  Number of regular users of data base: 80 or more people
(USR)  Current regular users of data base:  EPA headquarter offices
    Office of Water Program Operations/ Water     Planning Division
    EPA regional offices
    Other federal agencies
    States
    nationally translatable
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: State agency
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software STORET  KIDS:5303000101 ;EPA
    hardware IBM 370/168
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Serai-annually
(CMP)  Completion of form:
    A.L. Jenke
    OFC: Policy and Evaluation Branch, Hater Planning Div*, Office
    Water Program Operations
    AD: 401 M Street, Washington DC 20460
    PH: (202) 426-2474
(DF)  Date of form completion: 02-25-83
(NMAT)  Number of substances represented in data base: 12-02-82      I
(MAT)  Substances represented in data base:
    nutrients
(COR)  Contact organization: Planning Division
(ROR)  Responsible Organization: Office of Vater.Office of Water
    Programs Operations.Hater Planning Division.
                             205

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                             Accession No.   5301100508

(DQ)  Date of Questionaire: 12-02-82
(MAM)  $ame of Data Base of Model:  Phase II  Ground-Water Monitoring
    Evaluation Data  Base
(ACR)  Acronym of Data Base or Model;  None
(MSD)  Jiedia/SubJect of Data Base or Model;  N/A data not related  to
    specific media, 8CRA Interim Status Facilities  and  their
    ground-water monitoring systems   are sampled.
(CTC)  CONTACTS: Subject matter   Steve Maier   <2Q2) 382-4484   ;    EPA
    Office   Steve Maiar  Division  Office of Solid  «aste  (202)
    382-4484
(DTP)  Type of data collection or monitoring: RCAA  Interim Status
    Facilities
(STA)  Data Base status: Presently  Operational/Ongoing
(NPP)  Non-pollutant parameters included in  the data base: Collection
    method or instrument ; compliance  data ; inspection data';-  location
    ? physical data } political    subdivisions ,?  inspection  date  /
    site description ; test/analysis     method ;  treatment devices  or
    processes
(DS)  Time period covered by data base: 07-82 TO 10-82
(TRM)  Termination of data collection: Has occurred 82-10
(F8Q)  Frequency of data collection or sampling: One time only
(K08)  Bumber of observations in data  base:  4Q,GOG(£stimated  to Date)
(NSI)  Estimated annual increase of observations in data base:  N/A
(INF)  Data base includes: Raw data/observations
(FTS)  Total number of stations or  sources covered  in. data base:  189
(NCS)  Ko. stations or sources currently originating/contributing  data:
    185
(flOF)  Kumber of facilities covered in data  base (source monitoring): 18
    9            •.     . .          .••.•.••'•;.   '•  -'
(CEO)  Geographic coverage of data  base: National
(LOG)  Data elements identifying location of station or source  include:
    State / city } street address
(FAC)  Data elements identifying facility include:  Plant or facility
    name > plant location jf street   address
(LIM)  Limitation/variation in data of which user should be aware: Data
    gathering was conducted by state and regional     office  personel^
    as well- as two to three different  contractors.   Subjective
    Judgements went into filling out checklists thich     sere  the
    mechanism for collecting the data,
(DPR)  Data collects/anal, procedures  conform to ORD guidelines:  N/A
(AND  Lab analysis based on EPA-approved or accepted methods?  N/A
(AUD)  Lab Audit: N/A
(PRE)  Precision: N/A
(EDT)  Editting: So known edits
(CBY)  Eata collected by? State agency } regional  office ; contractor
(ABY)  Data analyzed by: SPA Headquarters
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection: Program  evaluation
(PR2)  Secondary purpose of data collection: Compliance or enforcement

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                             Accession No.   5301100508      (cont)

    YES: OMB form number 2000-0356
(REP)  Form of available reports and outputs of data base:  Unpublished
    reports/ Phase II Ground-Mater   Monitoring Evaluation
(NUS)  Number of regular users of data base: 2
(USR)  Current regular users of data base:  EPA  Headquarthers  Offices  ;
    EPA Regional Offices
(CNF)  Confidentiality of data and limits on access: All data
    confidential, limits on access outside  EPA
(DLC)  Primary physical location of data: Contractor
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: EPA Software System
(CHG)  Direct charge for non-EPA use: No outside use/access permitted
(UPDT)  Frequency of data base roaster file  up-date;  None/ one-tine data
    collection
(RSS)  Related EPA automated systems which  use  data  base: None
(FDBEPA)  Related EPA data bases used in conjunction with this  data base
    None
(RDB)  Fon-EPA data bases used in conjunction with this data  base: None
(CMP)  Completion of form: # Kathleen H. Kohl#  OFC:  Division, Office  of
    Solid Kastet   AD: Rm 273, 401 M St., S.W., Washington/ D.C.,  20460
    WH-562|   PH: (202) 382-4606f
(DF)  Date of form completion: 83-01-24
(CNM)  Contact name(s): Maier,S.  ;  Maier,S.
(COR)  Contact organization: Division Office of Solid Xaste
(ROR)  Responsible Organization: Office of  Solid Waste  and  Emergency
    Response.Office of Solid Waste.Off ice of Managerae
                             207

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                             Accession No.   5301100509

(DQ)  Dete of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Industry Studies Index  of  General
    Hazardous  Waste Technologies
(ACR)  Acronym of Data Base  or Model:  INSIGHT
(MED)  Media/Subject of Data Base or Model: Effluents/  Chemical
    Manufacturing Facilities ;    Emissions/  Chemical Manufacturing
    Facilities ;  Ground Hater ? soil ;  sediment >  solid waste
(ABS)  Abstract/Overview of  Data Base  or Model:  CBI and
    non-confidential data collected from industry site  visits/ waste
    stream sampling/ and literature surveys   pertaining to waste
    characterization and waste management practices. Includes a
    tracking file of all contracting activities  associated    with the
    Industry studies Program/Studies & Methods Branch/Office  of  Solid
    Waste and Emergency Response.
(CTC)  CONTACTS:  Subject matter  Janie Harris/ Program  Manager
    (703) 821-2506  }  Computer-related  Robert  Scarberry/ Task Manager
    (703) 821-4695  }  EPA Office  Francine Jacoff/ Technology Branch
    (202) 382-44761
(DTP)  Type of data collection or monitoring: Point Source/ Chemical
    manufacturing facility     site visits/ waste stream sampling/ and
    literature survey
(STA)  Data Base  status: Presently Operational/Ongoing
(GRP)  Groups of  substances  represented in Data  Base: RCRA hazardous
    wastes/ Entire universe  not yet    defined.   Hill include/ at  a
    minimum/ all  wastes listed at 40 CFR     26.131 and 261.32 and all
    chemicals listed at 40 CFR 261 App. VIII
(NPP)  Non-pollutant parameters included in the  data base: Chemical
    data ; compliance data ; concentration   measures ; cost  or
    economic data > disposal } elevation }  industry /  inspection  data
    / location /  manufacturer / physical data ;  political  subdivisions
    } production  levels / sampling date ; site description /  treatment
    devices or processes ; volume/mass measures  ; Haste   management
    employee information/ corporate financial overview/   capacity of
    waste facility/ recycling data.
(DS)  Time period covered by data base: 06-81 TO 01-83
(TRM)  Termination of data collection: Anticipated  85-06
(FRQ)  Frequency  of data collection or sampling: Other- Variable
    schedule depending on individual contractors     performing the
    sampling.
(NOB)  Number of  observations in data  base: Estimated to date
(INF)  Data base  Includes: Raw data/observations ;  reference  data  or
    citations
(NOF)  Number of  facilities  covered in data base (source monitoring): 34
    9
(GEQ)  Geographic coverage of data base: National
(LQC)  Data elements identifying location of station or source Include:
    State j county ; city ;  town/township ? street  address
 parent
    corporation-location ; street   address > program assigned
    identifier
(CDE)  Pollutant  Identification data are: coded/ chemical  abstracts


                             208

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                             Accession Mo.   5301100509     (cent)

    service(cas)  registry numbers
CLIM)  Limitation/variation in data of which user should be aware:  Proce
    dures and methods may differ  by contractor
(DPR)  Data collect./anal,  procedures conform to CRD guidelines:  YES
(AML)  lab analysis based on EPA-approved or accepted methods? YES
(AUO)  Lab Audit: YES
(PR5)  Precision: None available
(CBY)  Tata collected by: Regional Office,  Region EPA Offices ;
    contractor  JKB Associates/ Radian Corp./ S3 Corp./  Walk-Haydel
    Associates,  TRW    ;  EPA Headquarters^  EPA,  Office of Solid Waste
(ABY)  Data analyzed by:  Contractor, JRB Associates
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Development cf Regulations
    or Standards
(PR2)  Secondary  purpose  of data  collection: Trend assessment ; risk
    assessment
(AUT)  Authorization for  data collection: YES,  citation. Resource
    Conservation  and Recovery Act, 1976.  42 USC 6927
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    YES: OMB form number  2000-0424
(REP)  Form of available  reports  and outputs of data base:  Printouts on
    request
(USR)  Current regular users of data base:  EPA  Headquarters, Office of
    Research and  Methods, OSWER ; JRB Associates, McLean, VA
(CNF)  Confidentiality of data and limits on access: Some data
    confidential, limits  on access both within    EPA and outside the
    Agency
(DLC)  primary physical location  of data: Contractor
(DST)  Form of data storage: Magnetic disc
(CHG)  Direct charge for  non-EPA  use: No outside use/access permitted
(UPDT)  Frequency of data base master file  up-date: On-going, as data
    becomes available
(CMP)  Completion of form:  # Francine S. Jacofffl    OFC: USEPA/Office
    of Solid Waste & Emergency Responsef AD: Washington/ DC  20460f
    PH: (202) 382-4761f
(DF)  Date of form completion: 83-01-17
(NCAS)  Number of CAS registry numbers in data  base: 0323
(MAT)  Substances represented in  data base:
    Acetaldehyde  <75-07-0>                5-(Aminoffiethyl)-3-isoxazolol
    Acetone <67-64-l>                       <2763-96-4>
    Acetonitrile    <75-05-8>             4-Aminopyridine    <504-24-5>
    Acetophenone  <98-86-2>                6-lmino-l,la,2,8,8a,8b-hexahydro-
    2-Acetylaminoflourene                   8-
    Acetyl chloride <75-36-5>               (hydroxyraethyl)8-methoxy-5-
    Acrcleiri  <107-02-8>                     raethyl-carbaroate aririno
    Acrylamide <79-06-l>                     (2",3":3,4)pyrrolo(l,2-a)
    Acrylic acid  <79-10-7>                   indole-4,7-dione (ester)
    Acrylonitrile <107-13-1>             Amitrole <61-82-S>
    Aldrin <309-00-2>                    Aniraonium picrate <131-74-8>
    Allyl alcohol  <107-18-6>            Aniline     <62-53-3>
    Aluminum phosphide <20859-73-8>      Arsenic acid <1327-52-2>
                                         Arsenic pentoxide <1303-28-2>


                             209

-------
                         Accession No.   5301100509
                  (cont)
Arsenic trloxic'e <1327-S3-3>
Asbestos    <1332-21--4>
Auraraine <2465-27-2>
Azaserine <115-02-6>
Barium cyanide <542-62-l>
BeniCc] acridine  <225-51-4>
Benzal chloride <98-87-3>
Benzene <71-43-2>
Benzenesulfonyl chloride <98-09-9>
Enzenethiol <108-93-5>
Benzidine <92-87-5>
Benzo(a)anthracene <56-55-3>
fienzotalpyrene <5Q-32-8>
Betizotrichlori.de < 98-07- 7>
Beryllium dust
Bis (2~chloroethozy)me thane
B is ( 2- chloro ethyl) ether
iu n-bis(2-chloroethyl)~2-naphthyla
   rcine <494-03-l>
bis(2-chloroisopropyl) ether
   <39638-32-9>
bis(chloro»ethyl)ether <542-88-l>
8is{2-e thy IhexyDphtha late
broraoacetone <598-31-2>
brcmomethane <74-83-9>
4-bromophenyl phenyl ether
   <101-5S-3>
brucine <357-57-3>
2-butanone peroxide <1338-23-4>
n-Bvityl alcohol <71-36-3>
2- sec Butyl-4,6-dinitrophenol
   <88-85-7>
calciura chroraate <1376S-19-0>
calcium cyanide <592-01-8>
carbob dlsulfide <75-15-0>
carbonyl fluoride <3S3-50-4>
chloroacetaldehyde <107-20-0>
chlcral <75-87-6>
chlorambucil <305-03-3>
chloraniK 11 8-75-2>
chlordane <57-74-9>
p-chloroaniline <106-47-8>
chlorobenzllate <5lO-15-6>
l-(f-chlorobenzoyl)-5-Bethoxy-2 -
   methylindole-3-acetic acid
chlorodibromome thane < 124-48- 1>
1-c bio ro-2, 3 -epoxy propane
   <10 6-89-8 >
chloro ethene <75-01-4>
chloroethyl vinyl ether <110-75-8>
chloroform <67-66-3>
p-chloro-ro-cresol <59-50-7>
chlororoethane <74-87-3>
chloromethyl methyl ether
   <107-30-2>
2-chloronaphthalene   <91-58-7>
2-chlorophenol <95-57-8>
l-(o-chloropahnyl)     thiourea
   <5344-82-l>
3-chloropropionitrile <542-76-7>
.alpha--chlorotoluene <100-44-7>
4-chloro-o-toluidine hydrochloride
    <3165-93-3>
chrysene <218-01-9>
cooper cyanide   <544-92-3>
Cresylic acid <131S-77-3>
Crotonaldehyde  <4170-30-3>
cuwene <98-82-8>
cyanide <57-12-5>
cyanogen  <460-19-5>
cyanogen bromide <506-68-3>
cyanogen chloride  <506-77-4>
cyclohexane <110-82-7>
cyclohexanone <108-94-l>
2-cycloheKyl-4,6-dinltrophenol
   <131-89-5>
cyclophosphamide <50-18-0>
ddd(tde)
ddt
daunoravcin <20830-81-3>
diallate <2303-16-4>
dibenzoCa^hlanthracene <53-70-3>
dibenzoUa/13     pyrene
   <189-55-9>
dlbroraochlorofflethane <124-48-l>
l,2-dibrono-3-chloropropane (dbcp)
    <96-12-8>
1,2-dibroinoethane  <106-93-4>
dibromo me thane <74-9S-3>
di-n-butyl phthalate  <84-74-2>
1,2-dichlorobenzene <95-50-l>
1,3-dichlorobenzene    <541-73-l>
1,4-dichlorobenzene <10€-46-7>
3/3*- dichlorobenzidine <91-94-l>
l,4-dichloro-2-butene  <110-57-6>
dichlorodifluoromethane <75-71-8>
1,1-dichloroethane  <75-34-3>
1,2-dichloroethane <107-06-2>
1/1-dichloroethylene   <75-35-4>
1,2-trans-dichloroethylene
   <156-60-5>
                         210

-------
                         Accession So.   5301100509
                  (cont)
dichloromethane <75-09-2>
2,4-dichlorophenol <120-83-2>
2,6-dichlorophenol<87-65-0>
1f 4-dichloropheaoxyacetic acid (2,
   4-d) <94-75-7>
dicMorophenylarsiae <696-28-6>
1,2-    dichloropropane <78-87-5>
1,3-dichloropropena <542-75-6>
dieldrin <60-57-l>
diepoxybutane <1464-53-5>
diethylarsine
1,2-diethylhydrazine <1615-80-1>
0/Q-diethyl-s-(2-ethylthio)
   ethyDester of phosphorothioic
   acid
0,0-diethyl-s-inethyl   ester of
   phosphorodithioic acid
O/ 0- di et hy 1- 0 - ( 2 -pyraz iny 1 )
   phosphoro-tbioate <297-97-2>
Q,Q-diethyl phosphoric acid/  0-p-
   nitrophenyl ester <311-45-5>
diethyl phthalate <84-66-2>
diethylstilbestrol <56-53-l>
dihydrosaf role <94-58-6>
3/ 4 dihydroxy-alpha-(methylamino)-
   methyl benzyl alcohol
dl-lsopr op ylfluoro phosphate
   <55-91-4>
dimethoate <60-51-S>
3, 3'-dimethoxybenzidine <119-90-4>
3/3-dimethyl-Kinethylthio)   -2-
   but anone-0-C (methyl am ino)
   car bony IZIoxiine <39196-18-4>
ditnethylamine <124-40-3>
p- dime thy 1 am inoa robe nzene
1f 12-dimethylbenzCaJ anthracene
   <57-97-6>
3/3"-   dimethylbenzidlne
   <119-93-7>
.alpha./ .alpha.-    dimethylbenzyl
   hydro-peroxide <80-15-9>
dimethylcarbaiaoyl    chloride
   <79-44-7>
1/2-diniethylhydrazine <540-73-8>
dimethylnitrosoamine <62-75-9>
.alpha.,. alpha.-  dime thy Iphenethy
   laraine <122-09-3>
2/4-dimethylphenol  <105-67-9>
dinethyl phthalate <131-ll-3>
dimethyl sulfate <77-78-l>
4/6-dinitro-o-cresol <534-52-l>
2/4-dinltrophenol    <51-28-5>
2/4-dlnitrotoluene <121-14-2>
2,6-dinitrotoluene     <606-20-2>
di-n-octyl phthalate <117-84-0>
1/4-dioxane    <123-91-1>
1/2-diphenylhydrazine <122-66-7>
dipropylamine <142-84-7>
di-n-propylnitrosamine <621-64-7>
2,4-dithiobiuret <541-53-7>
endosulfan <115-29-7>
endrin <72-20-8>
ethyl acetate <141-78-6>
ethyl acrylate <140-88-5>
ethylcyanide <107-12-0>
ethylene bisdithiocarbamate
ethylenedianine <107-15-3>
ethyleneiroine <151-56-4>
ethylene oxide <75-21-8>
ethylene     thiourea <96-45-7>
ethyl ether <60-29-7>
ethyl roethacrylate    <97-63-2>
ethyl methanesulfonate <62-50-0>
ferric cyanide
fluoranthene <206-44-0>
fluorine <7782-41-4>
2-fluoroacetamide (1081)
   <640-19-7>
fluoroacetic acid/     sodium salt
fluorotrichloromethane <75-69-4>
formaldehyde <50-00-0>
formic acid <64-18-6>
furan <110-00-9>
furfural     <98-01-l>
glycidylaldehyde
heptachlor <76-44-3>
hexachlorobenzene <118-74-l>
hexachlcrobutadiene <87-68-3>
hexachlorocyclohexane <58-89-9>
hexachlcrocyclopentadiene
   <77-47-4>
hexachloroethane <67-72-l>
1/2,3/4,10/10-
   hexachloro-1,4,4a,5,8,8a-
   hex a hydro-1/4; 5, 8-endo,endo-
   dimethanonaphthalene
hexachlorophene <70-30-4>
hexaethyl  tetraphosphate
   <757-S8-4>
hydrazine <302-01-2>
hydrocyanic     acid <74-90-8>
hydrofluoric acid <7664-39-3>
hydrogen sulfide  <7783-06-4>
                         211

-------
                         Accession No.   5301100509
                  (cont)
hydroxydiraethyl arsine oxide
   <75-60-5>
indeno (I/  2/3-cd)pyrene
   <193-39-5>
iodomethane <74-88-4>
iron dextran    <9004-66-4>
isobutyl alcohol <78-83-l>
isocyanic acid/    methyl ester
   <624-83-9>
isosafrole <120-58-l>
kepone <143-50-0>
lasiocarpine <303-34-4>
lead acetate <301-04-2>
lead phosphate <7446-27-7>
lead subacetate <1335-32-6>
maleic anhydride <108-31-6>
maleic hydrazide <123-33-l>
malononitrile 
melphalan <148-82-3>
mercury     <7439-97-6>
mercury fulminate <628-86-4>
nethanethiol     <74-93-l>
raethanol <67-56-l>
methapyrilene <91-80-5>
methomyl <16752-77-5>
methoxyphenol <90-05-1>
2-     methylaTiridine <75-55-8>
methyl chlorocarbonate <79-22-l>
3-ffi€thylcholanthrene <56-49-5>
4/4*-methylene-bis-(2- chloroanili
   ne) <101-14-4>
methyl ethyl ketone (mek)
   <78-93-3>
methyl ethyl ketone peroxide
   
methyl hydrazine  <60-34-4>
methyl isobutyl ketone <108-10-1>
2-roethyllactonitrile <75-86-5>
methyl raethacrylate <80-62-6>
2-methyl-2-(methylthlo)propionalde
   hyde-o-(methylcarbonyl)oxime
n-methyl-n'-nitro-n-nitrosoguanidi
   ne <70-25-7>
methyl parathion <298-^00-0>
methylthiouracil <56-04-2>
naphthalene    <91-20~3>
1/4-naphthoquinone <130-15-4>
1-naphthylaaine   <134-32-7>
2-naphthylaniine <9l-59-8>
l-naphthyl-2-thiourea
   <86-S8-4>
nickel carbonyl <12612-55-4>
nickel cyanide     
nicotine and salts <54-ll-5>
nitric o>ide <10102-43-9>
p-nitroaniline <100-01-6>
nitrobenzene  <98-95-3>
nitrogen dioxide <10102-44-0>
nitrogen peroxide <10102-44-0>
nitrogen tetroxide <10544-72-6>
nitroglycerine    <55-63-0>
4-nitrophenol <100-02-7>
2-nitropropane <79-46-9>
n-nitrosodi-n-butylaraine
   <924-16-3>
n-niftrosodiethanolaraine
   <1116-54-7>
n-nitrosodiethylamine <55-18-5>
n-  nitrosodiniethylaraine <62-75-9>
n-nitrosodiphenylamine <86-30-6>
n-nitrosodi-n-propylamine
   <621-64-7>
n-nitroso-n-    ethylurea
   <759-73-9>
n-nitroso-n-raethylurea <684-93-5>
n-nitroso-n-raethylurethane
   <615-53-2>
n-    nitrosonethylvinylaiuine
n-nitrosopiperidine <100-75-4>
n-riitrosopyrrolidine <930-55-2>
5-nitro-o-toluidine   <99-55-8>
octafflethylpyrophosphoranside (orapa)
    
oleyl alcohol condensed with 2
   moles ethylene oxide
osmium tetroxide <20816-12-0>
7-oxablcycol<2.2.1)heptane-2,3-
   dicarboxylic acid <145-73-3>
paraldehyde <123-63-7>
parathion  <56-38-2>
pentachlorobenzene <608-93-5>
pentachloroethane <76-01-7>
pentachloronitrobenzene (pcnb)
   <82-68-8>
pentachlorophenol <87-86-5>
1,3-pentadiene <504-60-9>
phenacetin <62-44-2>
phenol <108-95-2>
phenyl dichloroarsine <696-28-6>
phenylmerucry acetate
   <62-38-4>
n-phenylthiourea <103-85-5>
phorate <298-02-2>
phosgene <75-44-5>
                         212

-------
                             Accession Ho.   5301100509
                  (cont)
    phosphine <7803-51-2>
    phosophorothioic acid/  0,0-
       dlmethyl  ester/  0-ester  with n,
       n-dimethyl benzene  sulfonamide
    phosphorus sulfide  <1314-80-3>
    phthalic anhydride  <85-44-9>
    2-picoline <109-06-8>
    potassium cyanide <151-50-8>
    potassium silver cyanide
       <506-61-6>
    pronaraide <23950-58-5>
    1,2-propanediol <57-55-6>
    1,3-propane  sultone <1120-71-4>
    propionitrile <107-12-0>
    n-propylamine <107-10-8>
    2-propyn-l-Ol <107-19-7>
    pyridine     <110-86-l>
    quinones
    reserpine <50-55-5>
    resorcinol <108-46-3>
    saccharin <81-07-2>
    safrole <94-59-7>
    selenious acid <7783-00-8>
    selenium sulfide <7446-34-6>
    selenourea <630~10-4>
    silver  cyanide <506-64-9>
    sodium  azide <2662S-22-8>
    sodium  cyanide 
    streptozotocin <18883-66-4>
    strontium sulfide <1314-96-l>
    strychnine <57-24-9>
    l/2r4,5-tetrachloroben2ene
       <95-94-3>
    1/1/1,2-tetrachloroethane
       <630-20-6>
    If If If 2-tetrachloroe thane
       <79-34-5>
    tetrachloroethene <127-18-4>
    tetrachloromethane  <56-23-5>
    2/ 3^4/ 6-tetrachlorophenol
       <58-90-2>
    tetraethylyl     dithiopyrophospha
       te <3689-24-5>
    tetcaethyl lead <78-00-2>
    tetraethyl pyrophosphate
tetrahydrofuran   <109-99-9>
tetranitromethane <509-14-8>
thallic oxide     <1314-32-5>
thallium acetate <563-68-8>
thallium carbonate
   <29809-42-5>
thallium chloride <7791-12-0>
thallium nitrate    <10102-45-l>
thallium selenite
thallium sulfate <7446-18-6>
thioacetamide <62-55-5>
thiosemlcarbazide <79-19-6>
thiourea   <62-56-6>
thiuram <137-26-8>
toluene <108-88-3>
toluenediaraine < 25376-45- 8>      >
toluene diisocyanate <26471-62-5>
o-toluidine hydrochloride
   <636-2.1-5>
toxaphene    <8001-35-2>
tribromome thane <75-25-2>
1,1,1-trichloroethane    <71-55-6
trichloroethene <79-01-6>
t r ich lor of luo rome thane
   <75-69-4>
trichloromethanethiol <75-70-7>  n
2/4,5-     trichlorophenol
   <95-95-4>
2,4,6-trichlorophenol <88-06-2>
2,4y5-trichlorophenoxyacetic acid
   (t) <93-76-5>
2,4,5-     trichlorophenoxypropio
   ic acid Up) <93-72-l>
trinitrobenzene   <99-35-4>
tris( 2,3- dibromop ropy 1) phosphate
   <126-72-7>
trypan blue <72-57-l>
uracil mustard <66-75-l>
urethane   <51-79-6>
vanadic acid, anmioniuro salt
vanadium pentoxida <1314-62-l>
xylene <1330-20-7>
zinc cyanide <557-21-l>
zinc phosphide <1314-84-7>
       <107-49-3>
(CAS)  CAS registry numbers of substances included In data base:  75-07-0
    ; 67-64-1; 75-05-8; 98-86-2; 75-36-5;       107-02-8; 79-06-1;
    79-10-7;  107-13-1;  309-00-2; 107-18-6;  20859-73-8;      2763-96-4;
    504-24-5; 61-82-5;  131-74-8; 62-53-3; 1327-52-2;      1303-28-2;
    1327-53-3; 1332-21-4; 2465-27-2; 115-02-6; 542-62-1;
    225-51-4; 98-87-3;  71-43-2;  98-09-9; 108-98-5; 92-87-5; 56-55-3;
                             213

-------
                             Accession No.   5301100509     (cont)

    50-32-8;  98-07-7;  111-91-1;  111-44-4;  494-03-1; 39638-32-9;
    542-88-1;       117-81-7;  598-31-2; 74-83-9; 101-55-3; 357-57-3;
    1338-23-4;  71-36-3;        88-85-7; 13765-19-0; 592-01-8; 75-15-0;
    353-50-4;  107-20-0;  75-87-6;       305-03-3; 118-75-2; 57-74-9;
    106-47-8;  510-15-6;  124-48-1;  106-89-8;        75-01-4; 110-75-8;
    67-66-3;  59-50-7;  74-87-3; 107-30-2; 91-58-7;      95-57-8;
    5344-82-1;  542-76-7; 100-44-7; 3165-93-3; 218-01-9;     544-92-3;
    1319-77-3;  4170-30-3;  98-82-S; 57-12-5;  460-19-5; 506-68-3;
    506-77-4;  110-82-7;  108-94-1;  131-89-5;  50-18-0; 20830-81-3;
    2303-16-4;  53-70-3;  189-55-9;  124-48-1;  96-12-8; 106-93-4; 74-95-3;
    84-74-2;  95-50-1;  541-73-1;  106-46-7;  91-94-1; 110-57^6; 75-71-8;
    75-34-3;  107-06-2; 75-35-4;  156-60-5;  75-09-2; 120-83-2; 87-65-0;
    94-75-7;  696-23-6; 78-87-5;  542-75-6;  60-57-1; 1464-53-5;
    1615-80-1;        297-97-2; 311-45-5; 84-66-2; 56-53-1; 94-58-6;
    55-91-4;  60-51-5;       119-90-4; 39196-18-4; 124-40-3; 60-11-7;
    57-97-6;  119-93-7; 80-15-9;        79-44-7; 540-73-8; 62-75-9;
    122-09-S;  105-67-9;  131-11-3;  77-78-1;     534-52-1; 51-28-5;
    121-14-2;  606-20-2;  117-84-0;  123-91-1;  122-66-7;       142-84-7;
    621-64-7;  541-53-7;  115-29-7;  72-20-8;  141-78-6; 140-88-5;
    107-12-0;  107-15-3;  151-56-4;  75-21-8;  96-45-7; 60-29-7; 97-63-2;
    62-50-0;  206-44-0; 7782-41-4;  640-19-7;  75-69-4; 50-00-0; 64-18-6;
    110-00-9;  98-01-1; 76-44-8;  118-74-1;  87-68-3; 58-89-9; 77-47-4;
    67-72-1;  70-30-4;  757-58-4;  302-01-2;  74-90-8; 7664-39-3;
    7783-C6-4;        75-60-5; 193-39-5; 74-88-4; S004-66-4; 78-83-1;
    624-83-9;  120-58-1;    143-50-0; 303-34-4; 301-04-2; 7446-27-7;
    1335-32-6;  108-31-6;    123-33-1; 109-77-3; 148-82-3; 7439-97-6;
    623-86-4;  74-93-1; 67-56-1;        91-80-5; 16752-77-5; 90-05-1;
    75-55-8;  79-22-1;  56-49-5; 101-14-4;    78-93-3; 1338-23-4;
    60-34-4;  108-10-1; 75-86-5?  80-62-6; 70-25-7;     298-00-0;
    56-04-2;  91-20-3;  130-15-4;  134-32-7;  91-59-8; 86-88-4;
    12612-55-4; 557-19-7;  54-11-5; 10102-43-9; 100-01-6; 98-95-3;
    10102-44-0; 10102-44-0; 10544-72-6; 55-63-0; 100-02-7; 79-46-9;
    924-16-3;  1116-54-7; 55-18-5;  62-75-9;  86-30-6; 621-64-7; 759-73-9;
    684-93-5;  615-53-2;  100-75-4;  930-55-2;  99-55-8> 152-16-9;
    20816-12-0; 145-73-3;  123-63-7; 56-38-2; 608-93-5; 76-01-7;
    32-68-8;        87-86-5; 504-60-9; 62-44-2; 108-95-2; 696-28-6;
    62-38-4;  103-85-5;    298-02-2; 75-44-5; 7803-51-2; 1314-80-3;
    85-44-9;  109-06-8; 151-50-8;      506-61-6; 23950-58-5; 57-55-6;
    1120-71-4?  107-12-0; 107-10-8;    107-19-7; 110-86-1; 50-55-5;
    108-46-3;  81-07-2? 94-59-7;  7783-00-8;    7446-34-6; 630-10-4;
    506-64-9;  26628-22-8;  143-33-9; 18883-66-4;      1314-96-1;
    57-24-9?  95-94-3;  630-20-6;  79-34-5; 127-18-4; 56-23-5;    58-90-2;
    3689-24-5;  78-00-2;  107-49-3;  109-99-9;  509-14-8; 1314-32-5;
    563-68-8;  2980S-42-5;  7791-12-0; 10102-45-1; 7446-18-6; 62-55-5;
    79-19-6;  62-56-6;  137-26-8;  108-88-3;  25376-45-8; 26471-62-5;
    636-21-5;  8001-35-2; 75-25-2;  71-55-6;  79-01-6? 75-69-4; 75-70-7;
    95-95-4;  88-06-2;  93-76-5; 93-72-1; 99-35-4; 126-72-7; 72-57-1;
    66-75-1;  51-79-6;  11115-67-6?  1314-62-1; 1330-20-7; 557-21-1;
    1314-84-7
(CNM)  Contact narae(s):  Harris/J.   ;  Scarberry/R.  ;  Jacoff^F.
(COR)  Contact organization:  Technology Branch
(ROR)  Responsible Organization: Office of Solid Waste and Emergency


                             214

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                         Accession No.   5301100509



Response.Off ice of Solid Maste.Gffice of Managerae

-------
                             Accession No.   5301100510

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Regulatory Impact Analysis Facility
    Profile
(ACR)  Acronym of Data Base or Model:  RIA
(MED)  Kedia/Subject of Data Base or Model:  Ground uatec >  Solid uaste
    - Hazardous
CABS)  Abstract/Overview of Data Base or Model:  3 Sources of data :
    Hall Survey of 2600 regulated hazardous  uaste TSD facilities and
    11/000 generators; telephone  surveys of approximately  8,000 TSD
    facilities? and site visits at     approximately 200 TSD
    facilities.  Data provides profile of individual facility
    characteristics including: location; types/   sizes/  and
    technological characteristics of uaste management operations;
    types of waste managed; facility financial data; grouriduater
    monitoring    activities; and pricing policies*
(CTC)  CONTACTS:  Subject matter  Hichale E.  Burns/ Program  Analyst/
    OSW  382-4491  ;  Computer-related  Michael  E. Burns/ Program
    Analyst/     OS*'  382-4491  ;  EPA Office  Michael  E. Burns/ OSW,
    (WH-562) 382-    4491
(DTP)  Type of data collection or monitoring: Point source- Regulated
    Hazardous Maste TSD Facilities
(STA)  Data Base  status: Funded for development: Projected  operational
    date of data  base 83-05 ; Presently Operational/Ongoing
(GRP)  Groups of  substances represented in Data Base: RCRA   hazardous
    waste- All hazardous wastes  managed by  facilities  regulated under
    RCRA
(NPP)  Non-pollutant parameters included in  the data base:  Industry  ;
    location j manufacturer ; physical    data ; political
    subdivisions  ; production levels ; site  description ;
    test/analysis method / treatment devices or processes ; use ;
    volume/ mass  measures
(DS)  Time period covered by data base: 01-81 TO 12-81
(TRM)  Termination of data collection: Anticipated 83-03
(FRQ)  Frequency  of data collection or sampling: One tine only
(NOB)  Number of  observations in data base:  13/600(Actual to date)
(RED  Estimated  annual Increase of observations in data base: N/A
(INF)  Data base  includes: Rau data/observations ; aggregate or summary
    observations  ; reference data or citations ; other  see
    questionaires
(NTS)  Total number of stations or sources covered in data  base: 3/600
(NCS)  No. stations or sources currently originating/contributing data:
    13/600
(NOF)  Number of  facilities covered in data  base (source monitoring):  13
    /600
(GEQ)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source include:
    State ; county ; city ; town/township ;  street    address ;
    latitude and  longitude/ UTM/ or other coordinates ;     individual
    project Identifier ; Other- proximity to flood plains/faults
(FAC)  Data elements identifying facility include: Plant or facility
    name ; plant  location ;    parent corporation-name  ; parent
    corporation-location ; street   address  ; sic code  / duns number /


                             216

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                             Accession flo.   5301100510      (cont)

    program assigned identifier  }  contact person
(CDE)  Pollutant identification  data are; coded, other  coding  scheme:
    RCRAHtf Numbers
(LIM)  Limitation/variation in data of which user should be aware:  See
    questionaires: Facilities responded to   different  components
    depending on waste management  processes.
(DPR)  Data collect./anal,  procedures conform to GRD guidelines: NO,
    but other documentation available for each    of the following:
    sampling pain, collection method, analysis method,   and QA
    procedures.
(ANL)  Lab analysis based on EPA-approved or accepted methods? NO
(AUD)  Lab Audit: N/A: Data not  based on laboratory analysis
(PRE)  Precision: None available
(EOT)  Editting: YES, documented edits
(CBY)  Cata collected by: Self-reporting } state agency ; contractor  }
    SPA Headquarters
(AB¥)  Cata analyzed by:  Contractor > EPA Headquarters
(IDL)  Laboratory identification:  N/A
(PR1)  Primary purpose of data collection:  Development  of regulations
    or standards ;    trend assessment / technology development /  risk
    assessment ;    program evaluation } special study  ; Other-
    regulatory impact analysis     under E.O. 12291
(PR2)  Secondary purpose  of data collection:  Compliance or enforcement
    / anticipatory/research
(AUT)  Authorization for  data collection: 5.0* 12291 (Major rule RIA)  }
    RCRA Subtitle C Section 3007(a)
(OMB)  Data collected/submitted  using OMB-approved EPA  reporting forms:
    YES: OMB number 2000-0424
(REP)  Form of available  reports and outputs of data base: Publication-
    Report on the telephone verifacation survey of Hazardous Hastes TSD
    Facilities Regulated  under RCRA in     1981 (11/82); RIA reports  to
    be produced during 1983-84.   ;  Unpublished   reports: various. ;
    printouts on request  >  machine-readable ran data >      on-line
    computer terminal
(NUS)  Number of regular  users of  data base: 212,948,746
(BSRJ  Current regular users of  data base: EPA Headquarters Offices:
    OLEC; OGC; OER; OA;     OFA> TOSCA; QSW> OPRM  ;  EPA Regional
    Offices  ;  Other Federal Agencies: Coastal Zone Management ;
    States  >  Contractors
(CNF)  Confidentiality of data and limits on access: Some data
    confidential, limits  on access both     within EPA  and outside the
    agercy
(DLC)  Primary physical location of data: Contractor ;  Headquarters
    Office
(DST)  Form of data storage: Other- Tape/disk/har<3 copy
(DAC)  Type of data access: Manually/commercial software
    (SpSS/$AS,etc)/EPA Software
(CHGJ  Direct charge for  non-EPA use: YES
(UPDT)  Frequency of data base master file up-date: Qther-
    Periodically, as revised data is obtained
(RSS)  Related EPA automated systems uhich use data base: Related  EPA
    Systems : All H»DMS Systems


                             217

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                             Accession No.   5301100510
                  (cont)
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    Related EPA Data Bases: All HWDHS & others
(RDB)  Non-EPA data bases used in conjunction with this data  base:  Relat
    ed ron-EPA Data Bases: US Geologic Survey, others
(ODE)  Other pertinent non-EPA data bases:  U.S. Geologic Survey /
    Geographic Survey /   Census of Population / Census of
    Manufacturers / Dunn & Broadstreet
(CMP)  Completion of form: # Michael E. Burns (WH-502)#  OFC:  Analysis
    brarch, OMIA, OSW, OSWER, EPA, USA# AD: Room S-273-A, 401  M St.,
    S.W., Washington, D.C.  20460# PH: (202)  382-4491#
(DF)  Date of form completion: 01-20-83
(MCAS)  Number of CAS registry numbers in data base: 0323
(MAT)  Substances represented in data base:
    Acetaldehyde <75-07-0>
    Acetone <67-64-l>
    Acetonitrile   <75-05-8>
    Acetophenone <98-86-2>
    2-Acetylaminoflourene
    Acetyl chloride <75-36-5>
    Acrolein  <107-02-8>
    Acrylaraide <79-06-l>
    Acrylic acid <79-10-7>
    Acrylonitrlle <107-13-1>
    Aldrin <309-00-2>
    Ally! alcohol  
    Aluminum phosphide <20859-73-8>
    5-(Aminomethyl)-3-isoxazolol
       <2763-96-4>
    4-Anilnopyridine    <504-24-5>
    6-Arcino-1, la, 2,8, 8 v 8b-hexahydro-
       8-(hydroxymethyl)8-methoxy-5-
       methyl-carbamate aririno
       (2*,3":3,4)pyrrolo(l,2-a)
       indole-4/7-dione (ester)
    Amitrole <61-82-5>
    Ammonium picrate <131-74-8>
    Aniline     <62-53-3>
    Arsenic acid <1327-52-2>
    Arsenic pentoxide <1303-28-2>
    Arsenic trioxide <1327-53-3>
    Asbestos    <1332-21-4>
    Auramine <2465-27-2>
    Azaserine <115-02-6>
    Barium cyanide <542-62-l>
    BenzCcl acridine  <225-51-4>
    Benzal chloride <98-87-3>
    8en?ene <71-43-2>
    Benzenesulfonyl chloride <98-09-9>
    Enzenethiol <108-98-5>
    Benzidine <92-87-5>
    8enzo(a)anthracene <56-55-3>
    Ben2oCa3pyrene <50-32-8>
Benzotrichloride <98-07-7>
Beryllium dust
Bls(2-chloroethozy)iBethane
8is(2-chloroethyl)ether
n.n-bis(2-chloroethyl)-2-naphthyla
   mine <494-03-l>
bis(2-chloroisopropyl)ether
   <39638-32-9>
bis(chloroniethyl) ether <542-88-l>
Bis(2-ethylhexyl)phthalate
brorcoacetone <598-31-2>
bromomethane <74-83-9>
4-bromophenyl phenyl ether
   <101-55-3>
brucine <357-57-3>
2-butanone peroxide <1338-23-4>
n-Butyl alcohol <71-36-3>
2-sec Butyl-4, 6-dinitrophenol
   <88-85-7>
calcium chromate <13765-19-0>
calcium cyanide <592-01-8>
carbob dlsulfide <75-15-0>
carbonyl fluoride <353-50-4>
chloroacetaldehyde <107-20-0>
chloral <75-87-6>
chlorarabucil <305-03-3>
chloranil<118-75-2>
chlordane <57-74-9>
p-chloroaniline <106-47-8>
chlorobenzilate <510-15-6>
l-(p-chlcrobenzoyl)-5-methoxy-2 -
   raethylindole-3-acetic acid
chlorodibromomethane <124-48-l>
l-chloro-2,3-epoxypropane
   <106-89~8>
chloroethene <75-01-4>
                             218

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                         Accession No.   5301100510
                  (cont)
chloroethyl vinyl ether <110-75-8>
chloroform <67-66-3>
o-chloro-ra-cresol <59-50-7>
chloromethane <74-87-3>
chlcroraethyl methyl ether
   <107-30-2>
2-chloronaphthalene   <91-58-7>
2-cMorophenol <9S-57-8>
l-(o-chloropehnyl)     thiourea
   <5344-82-1>
3-chloropropionitrile <542-76-7>
.alpha.-chlorotoluene <100-44-7>
4-chloro-o-toluidine hydrochloride
    <316S-93-3>
chrysene <218-01-9>
cooper cyanide   <544-92-3>
Cresylic acid <1319-77-3>
Crotonaldehyde  <4170-30-3>
curoene <98-82-8>
cyanide <57-12-5>
cyar.ogen  <460-19-5>
cyanogen bromide <506-68-3>
cyanogen chloride  <5Q6-77-4>
cyclohexane <110-82-7>
cyclohexanone <108-94-l>
2-cyclohexyl-4/6-dinitrophenol
   <13l-89-S>
cyclophosphamide <50-18-0>
ddd(tde)
ddt
daunomvcin <20830-81-3>
diallate <2303-16-4>
dibenzoCa/h3anthracene <53-70-3>
dibenzolca,!^     pyrene
   <189-55-9>
dibromochloromethane <124-48-l>
l/2-dibromo-3-chloropropane (dbcp)
    <96-12-8>
1,2-dibromoethane  <106-93-4>
dlbromoraethane <74-95-3>
di-n-butyl phthalate  <84-74-2>
1,2-dichlorobenzene <95-50-l>
1,3-dichlorobenzene    <541-73-l>
1/4-dichlorobenzene <106-46-7>
3,3'- dichlorobenzidine <91-94-l>
l/4-dichloro-2-butene  <110-57-6>
dichlorodifluoromethane <75-71-8>
1/1-dichloroethane  <75-34-3>
1,2-dlchloroethane <107-06-2>
1,1-dichloroethylene   <75-35-4>
1/2-trans-dichloroethylene
   
dichioromethane <7S-09-2>
2,4-dlchlorophenol <120-83-2>
2/6-dichlorophenol<87-65-0>
2/4-dichlorophenoxyacetic acid (2,
   4-d) <94-75-7>
dichloropheriylarsine <696-28-6>
1/2-    dichloropropane <78-87-5>
1,3-dlchloropropene <542-75-6>
dieldrin <60-57-l>
diepoxybutane <1464-53-5>
dlethylarsine
1,2-dlethylhydrazine <1615-80-1>
0,0-diethyl-s-(2-ethylthio)
   ethyl)ester of phosphorothiolc
   acid
0/0-diethyl-s-methyl   ester of
   phosphorodithioic acid
0,0-diethyl-0-(2-pyrazinyl )
   phosphoro-thioate <297-97-2>
0/0-diethyl phosphoric acid/  0-p-
   nitrophenyl ester <311-45-5>
die thy 1 phthalate <84-6€-2>
dlethylstllbestrol <56-53-l>
dihydrosafrole <94-58-6>
3/4 dlhydroxy-alpha-tmethylamlno)-
   methyl benzyl alcohol
di-isopropylf luorophosphate
   <55-91-4>
dimethoate <60-51-5>
3/3 '-diraethoxybenzidine <119-90-4>
3/3-diniethyl-l(raethylthio)   -2-
   butanone-0-C (methyl ami no)
   carbonylloxime <39196-18-4>
dime thy lamina <124-40-3>
p-dimethylaminoazobenzene
7/12-dioethylbenzCalanthracene
   <57-97-6>
3/3'-   diraethylbenzidine
   <119-93-7>
. alpha./. alpha.-    diraethylbenzyl
   hydro-peroxide <80-15-9>
dimethylcarbamoyl    chloride
   <79-44-7>
1/2-dinsethylhydrazine <540-73-8>
diraethylnitrosoaraine <62-75-9>
. alpha./. alpha.-  dimethylphenethy
   laraine <122-09-8>
2/4-dimethylphenol  <105-67-9>
dimethyl phthalate <131-ll-3>
dimethyl sulfate <77-78-l>
4/6-dinltro-o-cresol <534-52-l>
                         219

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                         Accession No.   5301100510
                  (cont)
2/4-dinltrophenol    <51-28-5>
2/4-dinitrotoluene <121-14-2>
2/6-dinitrotoluene     <606-20-2>
di-i5-octyl phthalate <117-84-0>
1,4-dioxane    <123-91-1>
1,2-diphenylhydrazine 
dipropylamine <142~84-7>
dl-r-propylnitrosamine <621-64-7>
2/4-dithiobiuret <541-53-7>
endcsulfan <115-29-7>
endrin <72-20-8>
ethyl acetate <141-78-6>
ethyl acrylate <140-88-5>
ethylcyanide <107-12-0>
ethylene bisdithiocarbaraate
ethylenediaraine <107-15-3>
ethyleneimine <151-56-4>
ethylene oxide <75-21-8>
ethylene     thiourea <96-45-7>
eth^l ether <60-29-7>
ethyl methacrylate    <97-63-2>
ethyl methanesulfonate <62-50-0>
ferric cyanide
fluoranthene <206-44-0>
fluorine <7782-41-4>
2-fluoroacetaraide (1081)
   <640-19.-7>
fluoroacetic acid/     sodium salt
flucrotrichloronethane <75-69-4>
formaldehyde <50-00-0>
formic acid <64-18-6>
furen <110-00-9>
furfural     <98-01-l>
glycidyl aldehyde
heptachlor <76-44-9>
hexachlorobenzene <118-74-l>
hexechlorobutadiene <87-68-3>
hexachlorocyclohexane <58-89-9>
hexechlorocyclopentadiene
   <77-47-4>
hexachloroethane <67-72-l>
l/2,3A4/10/10-hexachloro-l/4,4a/5/
   8/8 a-hexahydr o-i/4:5/8-endo/
   endo-dime thanonaphthalene
hexachlorophene <70-30-4>
hexaethyl  tetraphosphate
   <7.57-5S-4>
hydrazine <302-01-2>
hydrocyanic     acid <74-90-8>
hydrofluoric acid <7664-39-3>
hydrogen sulfide  <7783-06-4>
hydroxydimethyl arsine oxide
   <75-60-5>
indeno (I/  2/3-cd)pyrene
   <193-39-5>
iodoraethane <74-88-4>
iron dextran    <9004-66-4>
isobutyl alcohol <78-83-l>
isocyanic acid/    methyl ester
   <624-83-9>
isosafrole <120-58-l>
kepone <143-50-0>
lasiocarpine <303-34-4>
lead acetate <301-04-2>
lead phosphate <7446-27-7>
lead subacetate <1335-32-6>
maleic anhydride <108-31-6>
maleic hydrazide <123-33-l>
malononitrile <109-77-3>
melphalan <148-82-3>
mercury     <7439-97-6>
mercury fulminate <628-86-4>
methanethiol     <74-93-l>
methanol <67-56-l>
methapyrilene <91-80-5>
methonsyl <16752-77-5>
methoxyphenol <90-05-1>
2-     methylaziridine <75-55-8>
methyl chlorocarbonate <79-22-l>
3-methylcholanthrene <56-49-5>
4/4"-methylene-bis-(2- chloroanili
   ne) <101-14-4>
methyl ethyl ketone (mek)
   <78-93-3>
methyl ethyl ketone peroxide
   <1338-23-4>
methyl hydrazine  <60-34-4>
methyl isobutyl ketone <108-10-1>
2-methyllactonitrile <75-86-5>
methyl methacrylate <80-62-6>
2-3uethyl-2-(methylthio)propionalde
   hyde-o-(niethylcarbonyl)oxiine
n-methyl-n*-nitro-n-nitrosoguanidi
   ne <70-25-7>
methyl parathion <298-00-0>
methylthiouracil <56-04-2>
naphthalene    <91-20-3>
1/4-naphthoquinone <130-15-4>
l-naphthylamine   <134-32-7>
2-naphthylamine <91-59-8>
1-naphthyl-2-thiour ea
   <86-88-4>
nickel carbonyl <12612-55-4>
                         220

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                         Accession No.   5301100510
                  (cont)
nickel cyanide     <557-19-7>
nicotine and salts <54-ll-5>
nitric oxide <10102-43-9>
p-nitroaniline <10Q-01-6>
nitrobenzene  <98-95-3>
nitrogen dioxide <10102-44-0>
nitrogen peroxide <10102-44-0>
nitrogen tetroxide <10544-72-6>
nitroglycerine    <55-63-0>
4-nitrophenol <10G-02-7>
2-nitropropane <79-46-9>
n-nitrosodi-n-butylamine
   <924-16-3>
n-niftrosodiethanolamine
   
n-nitrosodiethylamine <55-18-5>
n-  nitrosodifiiethylamine <62-75-9>
n-nitrosodiphenylamine <86-30-6>
n-nitrosodi-n-propylamine
   <621-64-7>
n-nitroso-n-    ethylurea
   <759-73-9>
n-nitroso-n-methylurea <684-93-5>
n-nitroso-n-methylurethane
   <615-53-2>
n-    nitrosomethylvinylaraine
n-nitrosopiperidina <100-75-4>
n-nitrosopyrrolldine <930-55-2>
5-nitro-o-toluidine   <99-55-8>
octamethyipyrophosphoramide (ompa)
    <152-16-9>
oleyl alcohol condensed with 2
   moles ethylene oxide
osmium tetroxide <20816-12-0>
7-oxabicycol(2.2.1)hep tane-2,3-
   dicarboxylic acid <145-73-3>
paraldehyde <123-63-7>
parathion  <56-38-2>
pentachlorobenzene <608-93-5>
pentachloroethane <76-01-7>
pentachloronitrobenzene (pcnb)
   <82-68-8>
pentachlorophenol <87-86-5>
1,3-pentadiene <504-60-9>
pheuacetin <62-44-2>
phenol <108-95-2>
phenyl dichloroarsine <696-28-6>
phenylmerucry acetate
   <62-38-4>
n-phenylthiourea <103-85-5>
Phorate <298-02-2>
phosgene <75-44-5>
phosphine <7803-51-2>
phosophorothiolc acid, 0/0-
   dimethyl ester, 0-ester Hith n,
   n-
   diroethyl benzene sulfonaraide
phosphorus sulfide <1314-80-3>
phthalic anhydride <85-44-9>
2-picoline <109-06-8>
potassium cyanide <151-50-8>
potassium silvar cyanide       ,
   <506-61-6>
pronanide <23950-58-5>
1,2-propanediol <57-55-6>
1,3-propane sultone <1120-71-4>
proplonitrile <107-12-0>
n-propylamine <107-10-8>
2-propyn-l-01 <107-19-7>
pyridine     <110-86-l>   *
quinones
reserpine <50-55-5>
resorcinol <108-46-3>
saccharin <81-07-2>
safrole <94-59-7>
selenious acid <7783-00-8>
selenium sulfide <7446-34-6>
selenourea <630-10-4>
silver cyanide <506-64-9>
sodium azide <26628-22-8>
sodium cyanide <143-33-9>
streptozotocin <18883-66-4>
strontium sulfide <1314-96-l>
strychnine <57-24-9>
Ir2,4,5-tetrachlorobenzene
   <95-94-3>
1,1,1,2-tetrachloroethane
   <630-20-6>
1,1,2,2-tetrachloroethane
   <79-34-5>
tetrachloroethene <127-18-4>
tetrachloromethane <56-23-5>
2,3,4,6-tetrachlorophenol
   <58-90-2>
tetraethylyl     dithlopyrophospha
   te <3689-24-5>
tetraethyl lead <78-00-2>
tetraethyl pyrophosphate
   <107-49-3>
tetrahydrofuran   <109-99-9>
tetranitromethane <509-14-8>
thallic oxide     <13l4-32-5>
thallium acetate <563-68-8>
                         221

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Accession No,  5301100510
                                                           (COfjt)
            trichloromethanethiol <75-70-7>
            2,4,5-     trichlorophenol
               <95-95-4>
            2,4,6-trichlorophenol <88-06-2>
            2,4,5-tricblorophenoxyacetic acid
               (t) 
            2,4,5-     trichlorophenoxyproplo
               ic acid (tp) <93-72-l>
            trinitrobenzene   <99-35-4>
            tris(If 3-dibronopropy1}phosphate
               <126-72-7>
            trypan blue <72-57-l>
            uracil mustard <66-75-l>
            urethane   <51-79-6>
            vanadic acid/ ammonium salt
            vanadium pentoxide <1314-62-l>
            xylene <1330-20-7>
            zinc cyanide <557-21-l>
            zinc phosphide <1314-84-7>
    thallium carbonate
       <29809-42-5>
    thallium chloride <7791-12-0>
    thallium nitrate    <10102-45-l>
    thallium selenite
    thallium sulfate <7446-18-6>
    thioacetamide <62-55-5>
    thicsemicarbazide <79-19-6>
    thiourea   <62-56-6>
    thiurara <137-26-8>
    toluene <108-88-3>
    tbluenedianine <25376-45-8>
    toluene diisocyanate <26471-62-5>
    o-tcluidine hydrochloride
       <636-21-5>
    toxaphene    <8001-35-2>
    tribroraomethane <75-25-2>
    If1,1-trichloroathana    <71-55-6>
    trichloroethene <79-01-6>
    trlchlorofluoroaiethane
       <75-69-4>
(CAS)   CAS registry numbers of substances included in data base: 75-07-0
    ;  67-64-1; 75-05-8; 98-86-2;  75-36-5;       107-02-8; 79-06-1;
    79-10-7; 107-13-1; 309-00-2;  107-18-6;  20859-73-8;      2763-96-4;
    504-24-5; 61-82-5; 131-74-8;  62-53-3; 1327-52-2;      1303-28-2;
    1327-53-3; 1332-21-4; 2465-27-2; 115-02-6; 542-62-1;
    225-51-4; 98-87-3; 71-43-2; 98-09-9; 108-98-5; 92-87-5; 56-55-3;
    50-32-8; 98-07-7; 111-91-1; 111-44-4; 494-03-1; 39638-32-9;
    542-88-1;      117-81-7; 593-31-2; 74-83-9; 101-55-3; 357-57-3;
    1336-23-4; 71-36-3;       88-85-7; 13765-19-Oj 592-01-8; 75-15-0;
    353-50-4; 107-20-0; 75-87-6;        305-03-3? 118-75-2; 57-74-9;
    106-47-8; 510-15-6; 124-48-1; 106-89-8;       75-01-4; 110-75-8;
    67-66-3; 59-50-7; 74-87-3; 107-30-2; 91-58-7;      95-57-8;
    5344-62-1; 542-76-7; 100-44-7; 3165-93-3? 21B-01-9;     544-92-3;
    1319-77-3; 4170-30-3; 98-82-8; 57-12-5; 460-19-5; 506-68-3;
    506-77-4; 110-82-7: 108-94-1; 131-89-5; 50-18-0; 20830-81-3;
    2303-16-4; 53-70-3; 189-55-9; 124-48-1? 96-12-8; 106-93-4; 74-95-3;
    84-74-2; 95-50-1; 541-73-1; 106-46-7; 91-94-1? 110-57-6; 75-71-8;
    75-34-3; 107-06-2; 75-35-4; 156-60-5; 75-09-2; 120-83-2; 87-65-0?
    94-75-7; 696-28-6; 78-87-5; 542-75-6; 60-57-1? 1464-53-5;
    1615-80-1;       297-97-2; 311-45-5; 84-66-2; 56-53-1; 94-58-6?
    55-91-4; 60-51-5;      119-90-4; 39196-18-4; 124-40-3; 60-11-7?
    57-97-6; 119-93-7; 80-15-9;       79-44-7; 540-73-8; 62-75-9;
  .  122-09-8; 105-67-9; 131-11-3? 77-78-1;     534-52-1; 51-28-5;
    121-14-2; 606-20-2; 117-84-0; 123-91-1; 122-66-7;       142-84-7;
    621-64-7; 541-53-7; 115-29-7; 72-20-8;  141-78-6; 140-88-5;
    107-12-0; 107-15-3; 151-56-4; 75-21-8;  96-45-7; 60-29-7; 97-63-2;
    62-50-0; 206-44-0; 7782-41-4; 640-19-7; 75-69-4; 50-00-0; 64-18-6;
    110-00-9; 98-01-1; 76-44-8; 118-74-1; 87-68-3; 58-89-9; 77-47-4?
    67-72-1; 70-30-4; 757-58-4? 302-01-2; 74-90-8; 7664-39-3;
    7783-06-4;       75-60-5; 193-39-5; 74-88-4; 9004-66-4; 78-83-1;
    624-83-9; 120-58-1;   143-50-0; 303-34-4; 301-04-2; 7446-27-7;
222

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                             Accession No.  5301100510     (cent)

    1335-32-6;  108-31-6;     123-33-1; 109-77-3; 148-32-3; 7439-97-6;
    628-86-4;  74-93-1;  67-56-1;       91-80-5; 16752-77-5; 90-05-1;
    75-55-8;  79-22-1; 56-49-5;  101-14-4;    78-93-3; 1338-23-4;
    60-34-4;  108-10-1;  75-86-5; 80-62-6; 70-25-7;     298-00-0;
    56-04-2;  91-20-3; 130-15-4; 134-32-7; 91-59-8; 86-88-4;
    12612-55-4; 557-19-7; 54-11-5; 10102-43-9; 100-01-6; 98-95-3;
    101C2-44-0; 10102-44-0; 10544-72-6; 55-63-0; 100-02-7; 79-46-9;
    924-16-3;  1116-54-7;  55-18-5; 62-75-9; 36-30-6; 621-64-7; 759-73-9;
    684-93-5;  615-53-2; 100-75-4; 930-55-2; 99-55-8; 152-16-9;
    20816-12-0; 145-73-3; 123-63-7; 56-38-2; 608-S3-5; 76-01-7;
    82-68-8;        87-86-5; 504-60-9; 62-44-2; 108-95-2; 696-28-6;
    62-33-4;  103-85-5;     298-02-2; 75-44-5; 7803-51-2; 1314-80-3;
    85-44-9;  109-06-8;  151-50-8;      506-61-6; 23950-58-5; 57-55-6;
    1120-71-4;  107-12-0;  107-10-8;    107-19-7; 110-86-1? 50-55-5;
    108-46-3;  81-07-2;  94-59-7; 7783-00-8;   7446-34-6; 630-10-4;
    506-64-9;  26628-22-8; 143-33-9; 18883-66-4;      1314-96-1;
    57-24-9;  95-94-3; 630-20-6; 79-34-5; 127-18-4; 56-23-5?    58-90-2;
    3689-24-5;  78-00-2; 107-49-3; 109-99-9; 509-14-8; 1314-32-5;
    563-68-8;  29809-42-5; 7791-12-0; 10102-45-1; 7446-18-6; 62-55-5;
    79-19-6;  62-56-6; 137-26-8; 108-88-3; 25376-45-8; 26471-62-5;
    636-21-5;  8001-35-2;  75-25-2; 71-55-6; 79-01-6; 75-69-4; 75-70-7;
    95-S5-4;  88-06-2; 93-76-5;  93-72-1; 99-35-4; 126-72-7; 72-57-1;
    66-75-1;  51-79-6; 11115-67-6; 1314-62-1; 1330-20-7; 557-21-1;
    1314-84-7
(CNN)  Contact name(s): Burns/M.E.  ;  Burns,M.E.  ;  Burns^M.E.
(COR)  Contact organizations QSW (WH-562)
(HGR)  Responsible Organization: Office of Solid haste and Emergency
    Response.Off ice of Solid Waste.Office of Managema
                             223

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                             Accession No.   5302000102

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Publicly Owned Treatment Works
    (POTW) Analytical Data
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model: Uastewater  publicly  owned
    treatment works untreated, treated, sludges/  and raw water.
(ABS)  Abstract/Overview of  Data Base  or Model:  Fifty publicly owned
    treatment works were sampled for six days/  at 5 or  6 points, for
    the priority pollutants.     Grab  samples were collected multiple
    times per day.
(CTC)  CONTACTS: Subject matter Arnold Vernick  (201)265-2000;
    Computer-related Jim Millikan (201)265-2000;  EPA Office   Bob
    Southworth (202) 332-7190
(DTP)  Type of data collection or monitoring: Point source  data
    collection publicly owned treatment works  untreated, treated,
    sludges, raw water.
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in  Data Base: 129 307 CHA
(NPP)  Non-pollutant parameters included in the data base:  Flow  rates
    /Location ;Samp ling date /Temperature
(DS)  Time period covered by data base: 07-01-78  to 12-31-81
(TRM)  Termination of data collection: Anticipated 06/30/81
(FRQ)  Frequency of data collection or sampling:  24 hour composites
(NOB)  number of observations in data  base: 1/000,000 (estimated)
(NEI)  Estimated annual increase of observations  in data base: 0.
(IfJF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data  base: 1586.
(NCS)  lo. stations or sources currently originating/contributing  data:
    1586.
(NOF)  lumber of facilities  covered in data base  (source monitoring): 50
    •
(GEQ)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source includes
    Project identifier ;EPA  Region
(FAC)  Data elements identifying facility include: Program  identifier
(CDS)  Pollutant identification data are: Other coding  scheme
(LIM)  Limitation/variation  in data of which user should be aware:  At
    least 5% of analytical data are variously coded (i.e. for "less
    than/" "interference," "trace,"  "unconfirmed") in  addition  to  hard
    numbers.
(DPR)  Data collect,/anal, procedures  conform to  ORD guidelines: Sampiin
    g plan documented ^Collection method documented /Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit  Is satisfactory.
(PRS)  Precision: Precision  and accuracy estimates exist but are riot
    included in data base
(EDT)  Edit ting: _E_dit procedures used  and documented.
(CBY)  Data collected by: Contractor Burns  and Roe
(ABY)  Data analyzed by: Regional office Surveillance and Analysis
    Division/ Regions 5    and 7
    Contractor lab MRI/ Carborundum, ARL/ Foremost, S(3)/ Radian/


                             224

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                             Accession No.   5302000102      (cont)

    West Coast Technical
    Contractor Burns and  Roe
(IDL)  Laboratory Identifications  Y£S
(PR1)  Primary purpose of data collection:  Special  study
(ADt)  JSuthorization for  data collection:  Ho statutory  requirement:
    Data collection requirement Is    to examine fate ol toxic
    pollutants and effect of sewage treatment plants  in removing  toxic
    pollutants.
(OMB)  Data collected/submitted using OMB-approved  SPA  reporting  forms:
    No
(REP)  Form of available  reports and outputs of data base:  Publications
    SPA 440/1-79-300 Fate of Priority Pollutants in     Publicly  Owned
    Treatment Works pilot study.
    EPA-440/1-80-301 Fate of Priority Pollutants in Publicly Owned
    Treatment Works-Interim Report; EPA-440/l-82/303-Fate of Priority
    Pollutants in Publicly Owned Treatment Works -  Final Report
(BUS)  Number of regular  users of  data base: 5
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Water Regulations and Standards and Water Enforcement
    Division.!   SPA laboratories
(CMF)  Confidentiality of data and Units on access: Data available  in
    reports.   Limits on    identification of plants sampled.
(DLC)  Primary physical location of data:  Contractor and EPA
    Headquarters
(DST)  Form of data storage: Magnetic disc
(OAC)  Type of data access: Commercial software RAMIS
(CHG)  Direct charge for  non-EPA use: no outside use/access permitted
(UPDT)  Frequency of data base master file up-date:
    5302000102
    57  Publicly Owned Treatssent Morks     Quality  Control  D 9078  0009
    02
(CMP)  Completion of form:
    Robert M. Southworthf   OFC: Effluent Guidelines Divisions  AD: 401
    M St., S.W., Washington, D.C.  20460* PH: (202)  382-7150
(DF)  Date of form completion: 01-13-83
(NMAT)  Number of substances represented in data base:  136
(NCAS)  Number of CAS registry numbers in data base: 127
(MAT)  Substances represented in data base:
    l,l,l-trichloroetharie<71-55-         1,2-trans-dichloroethylene
       6>                                   <156-60-5>
    1,1,2,2,-tetrachloroethane           l,3-dichlorobenzene<541-73-l>
       <79-34-5>                         l,4-dichlorobenzene<106-46-7>
    l,l,2-trichloroethane<79-00-5>       2,4,6-trichlorophenol<88-06-2>
    Ifl-dichloroethane<75-34-3>          2,4,7,8-tetrachlorodibenzo-p-
    l,l-dichloroethylene<75-35-4>            dioxin  (tcdd)
    l,2,4,-trichlorobenzene<120-82-l>    2,4-dichlorophenol<120-83-2>
    1,2-dichlorobenzene<95-50-l>         2,4-dimethylphenol<105-67-9>
    l,2-dichloroethane<107-06-2>         2/4-dlnltrophenol<51-28-5>
    1,2-dichloropropane<78-87-5>         2,4-dinltrotoluene<121-14-2>
    It2-dichloropropylene<563-54-2>      2,6-dinitrotoluene<606-26-2>
    l,2-diphenylhydrazine<122-66-7>      2-chloroethylvlnyl ether<110-75-8>
                                         2-chloronaphthalene<91-58-7>


                             225

-------
                         Accession No.  5302000102
                  (cent)
2-chlorophenoK95-S7-8>
2-nitrophenol<88-75-5>
3/3'-dichlorobenzidine<91-94-l>
3/4-benzof luoranthene<205-99-2>
4,4--ddd(p,p'tde)
4,4 r-dde(p,p '-ddx)<72-55-9>
4,4'-ddt<50-29-3>
4,6-dinitro-o-cresol<534-52-l>
4-bromophenyl phenyl ether
   <101-55-3>
4-chlorophenyl phenyl ether
   <70Q5-72-3>
4-nitrophenol<100-02-7>
acenaphthene< 83-32 -9>
ace naphthylene< 208-96- 8>
acrclein<107-02-8>
lcrylonitrile<107-13-l>
aldrin<309-00-2>
ammonla<7664-41-7>
anthracene<120-12-7>
antlmony<7440-36-0>
arsenic<7440-38-2>
ben7ene<71-43-2>
benzidine<92-87-5>
ben2o( a) anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
beu70(g/h.,i}perylene
beiizo(k)fluoranthene<207-08-9>
berylllum<7440-41-7>
bhc (lindane)-ganiflia<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<31 9-86-8>
biological oxygen demand (BOD)
b Is (2- chloroethoxy) methane
bls(2-chloroethyl)9ther
bis (2-chlorolsopropyl) ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis(chloromethyl)ether<542-88-l>
bromome thane <74-83-9>
butyl benzyl phthalate<85-68-7>
cadKium<7440-43-9>
carbon tetrachloride<56-23-5>
chemical oxygen demand (COD)
chlordane<57-74-9>
chlorobenzene<108-90-7>
chlorodibromomethane<124-48-l>
ch loro ethane <75-00 -3>
chloroforra<67-66-3>
chloromethane<74-87-3>
chromium<7440-47-3>
chrysene<218-01-9>
copper<7440-50-8>
cyanide<57-12-5>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
dibenzo(a,h)anthracene<53-70-3>
dichlorobroraomethane<75-27-4>
dichlorodifluoromethane<75-71-8>
dichloronethane<75-09-2>
dieldrin<60-57-l>
diethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
endosulfsn sulfate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylbenzene<100-41-4>
f luoranthene<206-44-0>
fluorene<86-73-7>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
hexachlorobutadiene<87-63-3>
hexachloroeyelopentadiene<77-47-4>
hexachloroethane<67-72-l>
indeno (l/2,3-cd)pyrene<193-39-5>
isophoroi3e<78-59-l>
lead<7439-92-l>
mercury<7439-97-6>
n-nitrosodi-n-propylamine
   <621-64-7>
n-nitrosodisBethylantine<62-75-9>
n-nitrosodiphenylanine<86-30-6>
naphthalene<91-20-3>
nickel<7440-02-0>
nitrobenzene<98-95-3>
oil and grease
p-chloro-m-cresol<59-50-7>
PH
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
   <11141-16-5>
pcb-1242 {arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
                         226

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                             Accession No.   5302000102     (cont)

    pcb-1254 (arochlor 1254)              thalliuin<7440-28-0>
       <11097-69-l>                      toluene<108-88-3>
    pcb-1260 (arochlor 1260)              total organic carbon (TOO
       <11096-82-5>                      total phenol
    pentachlorophenol<87-86-5>           total solids
    phenanthrene<85-Gl-8>                toxaphene<8001-35-2>
    phenol<109-95-2>                     tribromonethane<75-25-2>
    pyrene<129-00-0>                     trichloroetbylene<79-01-6>
    selenium<7782-49-2>                  trichlorofluororaethane<75-69-4>
    silver<7440-22-4>                    vinyl chloride<75-01-4>
    tetrachloroethylena<127-18-4>        zinc<7440-66-6>
(CAS)  CAS registry numbers of substances Included in data base: 71-55-6
    ; 79-34-5;  79-00-5? 75-34-3; 75-35-4;       120-82-1; 95-50-1;
    107-06-2;  78-87-5; 563-54-2; 122-66-7;  156-60-5;   541-73-1;
    106-46-7;  88-06-2; 120-83-2; 105-67-9;  51-28-5; 121-14-2;
    606-20-2;  110-75-8; 91-58-7; 95-57-8; 88-75-5; 91-94-1; 205-99-2;
    72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7; 83-32-9;
    208-96-8;  107-02-8; 107-13-1; 309-00-2; 7664-41-7; 120-12-7;
    7440-36-0;  7440-38-2; 71-43-2; 92-87-5; 56-55-3; 50-32-8; 191-24-2;
    207-08-9;  7440-41-7; 58-89-9; 319-84-6; 319-85-7; 319-86-8;
    111-91-1;       111-44-4;  39638-32-9; 117-81-7; 542-88-1; 74-83-9;
    85-68-7;      7440-43-9;  56-23-5; 57-74-9; 108-90-7; 124-48-1;
    75-00-3; 67-66-3;    74-87-3; 7440-47-3; 218-01-9; 7440-50-8;
    57-12-5; 84-74-2; 117-84-0;       53-70-3; 75-27-4; 75-71-8;
    75-09-2; 60-57-1; 84-66-2; 131-11-3;       1031-07-8; 959-98-8;
    33213-65-9; 7421-93-4;  72-20-8; 100-41-4;   206-44-0; 86-73-7;
    1024-57-3;  76-44-8; 118-74-1; 87-68-3;  77-47-4;    67-72-1;
    193-39-5;  78-59-1; 7439-92-1; 7439-97-6; 621-64-7; 62-75-9;
    86-30-6; 91-20-3; 7440-02-0; 98-95-3; 59-50-7; 12674-11-2;
    11104-28-2; 11141-16-5; 53469-21-9; 12672-29-6; 11097-69-1;
    11096-82-5; 87-86-5; 85-01-8; 108-95-2; 129-00-0; 7782-49-2;
    7440-22-4;  127-18-4; 7440-28-0; 108-88-3; 8001-35-2; 75-25-2;
    79-01-6; 75-69-4; 75-01-4; 7440-66-6
(CNM)  Contact  name(s): Storch/P. ;    Storch,P. ;    Southuorth,B.
(RUR)  Responsible Organization: Office of  Water.Office of Water
    Regulations and Standards»Effluent Guidelines Oivlsio
                             227

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                             Accession No.   5302000103

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  IFB Qrganics  Data Base
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject-of Data Base or Model:  Effluents Industrial/
    publicly owned treatment works
(ABS)  Abstract/Overview of  Data Base  or Model:  Data base  contains  the
    analytical results of 1,627 effluent samples taken  in  36  industrial
    categories between 8/28/78 and  4/15/80.
(CTC)  CONTACTS:  Subject matter Mr. William  A. Telliard (202)382-7131,
    EPA Office  Office of Energy &  Mining; Computer-related Lynn M.
    Beasley (202)382-7162; EPA Office   Office of Analytic  Support
    Effluent Guidelines
(DTP)  Type of data collection or monitoring: Point source data
    collection industrial, publicly owned treatment works
(STA)  Data Base  status: Data Base  Update Terminated
(GRP)  Groups of  substances  represented in Data  Base: 129  307 CWA
(!!PP)  Non-pollutant parameters included in  the  data base: Collection
    method ;Concentration measures  jIndustry ;Locatlon  ;   Sampling
    date ;Site description
(DS)  Time period covered by data base: 08-01-78 TO 09-30-81
(TRM)  Termination of data collection: Has occurred 12/80
(FRQ)  Frequency  of data collection or sampling: one time  only jDther
    varies by site-may be more than once*
(HOB)  dumber of  observations In data  base:  155710.(Actual)
(NED  Estimated  annual increase of observations in data base: 17000.
(INF)  Data base  includes: Raw data/observations
(NTS)  Total number of stations or  sources covered in data base: 1500.
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(NOF)  Number of  facilities  covered in data  base (source monitoring):  30
    0.
(GKO)  Geographic coverage of data  base: National
(LOC)  Data elements identifying location of station or source include:
    ZIP Code
(FAC)  Data elements identifying facility include: Plant facility name
    ?Plent location
(CDE)  Pollutant  identification data are: Storet parameter
    Other coding  scheme
(LIM)  Limitation/variation  in data of which user should be aware;  None
(DPR)  Data collect,/anal, procedures  conform to GRD guidelines: Samplin
    g plan documented /Collection method documented ^Analysis method
    document QA procedures documented
(AHL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit  Is satisfactory.
(PRE)  Precision: Precision  and accuracy estimates exist are
    included in data base
(EOT)  Editting:  Edit procedures used  and documented.
(CBY)  Data collected by! Regional  office Surveillance  and Analysis
    Division ^Contractor project contracto
(ABY)  Data analyzed by: Regional office Surveillance and  Analysis
    Division (small %)    Regions  I,  II, III, IV, V, VII.
    Contractor lab IFB labs


                             228

-------
                             Accession No.   5302000103     (cont)

(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Development of regulations
    or standards
(AUT)  Authorization for data collection: Statutory authorization  is P
    L 92-500 as amended (Clean Water Act-CWA)
(OMB)  Data collected/submitted using OMB-approved SPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Unpublished
    reports Tabulation of Priority Pollutants
    Printouts on request
    Microfilm
(NUS)  Number of regular users of data base: 0
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Analytic Support/ Effluent     Guidelines Division
(CNF)  Confidentiality of data and limits on access: Limits on access
    within SPA and outside agency for some   data.
(DLC)  Primary physical location of data: NCC/IBM
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: Commercial software Statistical Analysis
    System (SAS) >EPA hardware IBM 370/168
(CHG)  Direct charge for non-EPA use: no outside use/access permitted
(UPDT)  Frequency of data base master file  up-date: Other data
    currently complete
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    Effluent Guidelines Division:  D5302000108   Pharmaceutical
    Screening/Verification Data Base/ D5302000102     Publicly Owned
    Treatment Works Analytical Data/ D5302000112 Paint and  Ink
    Analytical Data
(CMP)  Completion of form:
    Mike R. Carter/Lynn M. Beasley
    OFC: EPA/(OWWM)/(QWRS)/(EGD)
    AD: 401 M St./ S.W. Washington/ DC 20460
    PH: (202) 382-7162
(DF)  Date of form completion: 11-03-82
(NMAT)  Number of substances represented in data base: 129
(NCAS)  Number of CAS registry numbers in data base: 127
(MAT)  Substances represented in data base:
    l/l/l-trichloroethane<71-55-         l/3-dichlorobenzene<541-73-l>
       6>                                l/4-dichlorobenzene<106-46-7>
    Ifl/2/2/-tetrachloroethane           2/4/6-trichlorophenol<88-06-2>
       <79-34-5>                         2/4/7/8-tetrachlorodibenzo-p- ,
    l/l/2-trichloroethane<79-00-5>          dloxin (tcdd)
    l/l-dichloroethane<75-34-3>          2/4-dichlorophenol<120-83-2>
    l/l-dichloroethylene<75-35-4>        2/4-dimethylphenol<105-67-9>
    l/2/4/-trichlorobenzene<120-82-l>    2/4-dinitrophenol<51-28-5>
    l/2-dichlorobenzene<95-50-l>         2/4-dinitrotoluene<121-14-«2>
    l/2-dichloroethane<107-06-2>         2/6-dinitrotoluene<606-20-2>
    lJ/2-dichloropropane<78-87-5>         2-chloroethylvinyl ether<110-75-8>
    l/2-dichloropropylene<563-54-2>      2-chloronaphthalene<91-58-7>
    l/2-diphenylhydrazine<122-66-7>      2-chlorophenol<95-57-8>
    1/2-trans-dichloroethylene           2-nitrophenol<88-75-5>
       <156-60-5>                        3,3'-dichlorobenzidine<91-94-l>


                             229

-------
                         Accession No.  5302000103
                  (cont)
3y4-benzof luoranthene<205-99-2>
4,4'-ddc1(p,p'tde)
4,4--dde(p,p'-dd:x)<72-55-9>
4,4*-ddt<50-29-3>
4/6-dinitro-o-cresol<534-52-l>
4-bromophenyl phenyl ether
   <101-55-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
acenaphthene< 83-32-9>
aceriaphthylene<208-96-8>
acrclein<107-02-8>
acrylonitrile
aldrin<309-00-2>
anthracene
antimony<7440-36-0>
arsenic<7440-38-2>
ashestos<1332-21-4>
benzene<71-43-2>
benzidine<92-87-5>
benzo(a)anthracene<56-55-3>
ben?o(a)pyrene<50-32-8>
benzo<.qfh, i)perylene
ben2o(k)f luoranthene<207-08-9>
beryllium<7440-4l-7>
bhc (lindane)-gamma<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
bis(2-chloroethoxy)siethane
bis(2-chloroethyl)ether
bis (2-chloroisopropyl) ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis(chloroaiethyl)ether<542-88-l>
browoniethane<74-83-9>
butyl benzyl phthalate<85-68-7>
cadmiinn<744Q-43-9>
carbon tetrachloride<56-23-5>
chlordane<57-74-9>
chlorobenzene<108-90-7>
chlcrodibromomethane<124-48-l>
chloroethane<75-00-3>
chloroform<67-66-3>
chloromethane<74-87-3>
chromium<7440-47-3>
chrysene<218-01-9>
copper<7440-50-8>
cyariae<57-!2-5>
dl-n-butyl phthalate<84-74-2>
di-n-octyl ?hthalate<117-84-0>
dibenzo(a/h)anthracene<53-70-3>
dichlorobrOfflomethane<75-27-4>
dichlorodifluorome thane <75-71-8>
dichlorofflethajie<75-09-2>
dieidrin<60-57-l>
diethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
endosulfan sulfate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylbenzene<100-41-4>
f luoranthene<206-44-0>
fluorene<86-73-7>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hex achlorobenzene< 118-7 4-l>
hexachlorobutadiene<87-€8-3>
hexachlotocyclopentadiene<77-47-4>
hex achloroethane< 67-7 2-l>
indeno (1^2,3-cd)pyrene
isophorone<78-59-l>
lead<7439-92-l>
aiercury<7439-97-6>
n-nitrosodi-n-propylamine
   <621-64-7>
n-nitrosodimethylamine<62-75-9>
n-nitrosodiphenylainine<86-30-6>
naphtha lene<91 -20 -3>
nickel<7440-02-0>
nltrobenzene<98-95-3>
p-chloro-m-cresol<59-50-7>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pent ach lor ophenol<87-86-5>
phenanthrene<85-01-8>
phenol<108-95-2>
                         230

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                             Accession No.   5302000103     {cent)

    pyrene<129-00-0>                     toxaphene<8001-35-2>
    seleniurn<7762-49-2>                  tribromoisethane<75-25-2>
    silver<7440-22-4>                    trichloroethylene<79-01-6>
    tetrachloroethylene*: 127-18-4>        trichlorofluoromethane<75-69-4>
    thallium<7440-28-0>                  vinyl chloride<75-Ol-4>
    toluene<108-88-3>                    zinc<7440-66-6>

-------
                             Accession No.   5302000104

(DQ)  Date of Questionalre:  12-02-82
(NAM)  Name of Data Base of  Model:  Verification Data Base
(ACR)  Acronym of Data Base  or Model:  None
(MED)  fcedia/Subject of Data Base or Model:  Effluents industrial
(ABS)  Abstract/Overview of  Data Base  or Model: Data base  contains  the
    results of the Effluent     Guideline Division GC/MS  verification
    program.
(CTC)  CONTACTS:  Subject matter Lynn M. Beasley (202)382-7162;
    Computer-related Lynn M. Beasley (202)382-7162;  EPA  Office  Office
    of Analytical Support/Effluent  Guidelines Division
(DTP)  Type of data collection or monitoring:  Point  source data
    collection industrial
(STA)  Data Base  status:  Data Base  Update terminated 08-81
(GRP)  Groups of  substances  represented in  Data Base: 129  307 CfcfA
(NPP)  Non-pollutant parameters included in the data base: Concentration
    measures }Industry ^Location ;   Site description /discharge points/
    political subdivisions/  sampling date
(DS)  Time period covered by data base: 10-01-79 to  01-29-82
(TRM)  Termination of data collection: has  occurred  (01/81)
(FRQ)  Frequency  of data collection or sampling: one time  only  ;Other
    varies by site-may be more frequently
(NOB)  Fumber of  observations in data  base:  100000.(Estimated)
(NED  Estimated  annual increase of observations in  data base:  (Not
    expected to increase) N/A
(INF)  Data base  includes: Raw data/observations ^Summary  aggregate
    observations  /key statistics
(NTS)  Total number of stations or  sources  covered in data base: 500.
(NCS)  No. stations or sources currently originating/contributing data:
    10 (to )15 (at any one time.)
(NOF)  Number of  facilities  covered in data base (source monitoring):  89
    •
(GEO)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or  source  Include:
    State /City ;Project identifier
(FAC)  Data elements identifying facility include: Plant facility name
    /Plant location ^Program identifier ;SCC
(CDS)  Pollutant  identification data are: Other coding scheme
(LIM)  Limitation/variation  in data of which user should be auare:  Plant
    (Facility) names and addresses are not  identified     for some
    organics.
(DPR)  Data collect./anal, procedures  conform to DRD guidelines: Samplin
    g plan documented ^Collection method documented  ^Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods?  VES
(AUD)  Lab Audit: Lab audit  is satisfactory.
(PRE)  Precision: Precision  and accuracy estimates exist for  all
    measurements
(EOT)  Editting:  Edit procedures used  and documented.
(CBY)  Data collected by: Regional office Surveillance and Analysis
    Divisions:  Regions I/ II/ III/ IV/ V/  Contractor mission
    contractors to Effluent  Guidelines  Division branches
(ABY)  Data analyzed by: Regional office Surveillance and  Analysis  Labs


                             232

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                             Accession No.   5302000104     (cont)

    Contractor lab IFB contractors
(IDL)  Laboratory identification:  YES
(PR1)  Primary purpose of data collection:  Development of regulations
    and standards
(AUT)  Authorization for data collection: Statutory authorization  is P
    L 92-500 as amended (Clean Water Act-CWA)
(CI4B)  Data collected/submitted using QMB-approved EPA reporting forms:
    QQ
(RFP)  Form of available reports and outputs of data base: Printouts on
    request
(NUS)  Kuttber of regular users of  data base: 2-3
(USR)  Current regular users of data base:  EPA headquarter offices
    Office of Analytic Support, Effluent     Guidelines Division
(CMF)  Confidentiality of data and Units on access: Linlts on access
    within EPA and outside agency  for some   data
(DLC)  Primary physical location of data: NCC/IBM
  Cirect charge for non-EPA use: no outside use/access permitted
(UPDT)  Frequency of data base master file  up-date: Other on demand
(CMP)  Completion of form:
    Lynn H. Beasleyf   OFC: £PA/(OHIiM)/(OWRS)/(EGD)
    AC: 401 M St, S.«. Washington, DC 20460
    PH: (202) 382-7162
(DF)  Date of form completion: 12-08-82
(JlMAT)  Number of substances represented in data base: 129
(NCAS)  Number of CAS registry numbers in data base: 127
(HAT)  Substances represented in data base:
    l,l,l-trichloroethane<71-55-         2,4-dinitrophenol<51-28-5>
       6>                                 2,4-dinitrotoluene<121-14-2>
    lf 1,2,2,-tetrachloroethane           2,6-dinitrotoluene<606-20-2>
       <79-34-5>                         2-chloroethylvinyl ether<110-75-8>
    l/l,2-trichloroethane<79-00-5>       2-chloronaphthalene<91-58-7>
    1,l-dichloroethane<75-34-3>          2-chlorophenol<95-57-8>
    1,l-dichloroethylene<75-35-4>         2-nitrophenol<88-75-5>
    l,2,4,-trichlorobenzene<120-82-l>    3,3*-dichlorobenzidine<91-94-l>
    l,2-dichlorobenzene<95-50-l>         3,4-benzofluoranthene<205-99-2>
    l,2-dichloroethane<107-06-2>         4,4*-ddd(p,p'tde)
    1,2-dichloropropane<78-a7-5>         4,4*-dde(p,p'-ddx)<72-55-9>
    l,2-dichloropropylene<563-54-2>      4,4*-ddt<50-29-3>
    l,2-diphenylhydrazine<122-66-7>      4/6-dinltro-o-cresol<534-52-l>
    1,2-trans-dichloroethylene           4-bromophenyl phenyl ether
       <156-60-5>                           <101-S5-3>
    l,3-dichlorobenzene<541-73-l>         4-chlorophenyl phenyl ether
    l,4-dichlorobenzene<106-46-7>            <7005-72-3>
    2,4,6-trichlorophenol<88-06-2>       4-nitrophenol<100-02-7>
    2,4,7,8-tetrachlorodibenzo-p-         acenaphthene<83-32-9>
       cioxin (tcdc")                     acenaphthylene<208-96-8>
    2,4-dichlorophenol<120-83-2>         acrolein<107-02-8>
    2,4-dimethylphenol<105-67-9>         acrylonitrile<107-13-l>


                             233

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                         Accession No.  5302000104
                  (cent)
aldrin<309-00-2>
anthracene<120-12-7>
antimony<7440-36-0>
arsenic<7440-38-2>
asbestos<1332-21-4>
benzene<71-43-2>
benzidine<92-87-5>
benzo(a)anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
benzo(g,h, i)perylene<191-24-2>
benz o(k)fluorarthene< 207-0 8-9>
beryllium<7440-41-7>
bhc (lindane)-gaflima<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-35-7>
bhc-delta<319-86-8>
bis(2-chloroethoxy)methane
bis(2-chloroethyl)ether
b is (2-chloroisopropyl) ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis(chloromethyl)ether<542-88-l>
bron>oinethane<74-83-9>
butyl benzyl phthalate<85-68-7>
cadinium<7440-43-9>
carbon tetrachloride<56-23-5>
chlordane<57-74-9>
chlorobenzene<108-90-7>
chlcrodibromou)ethane<124-48-l>
chloroethane<75-00-3>
chloroform<67-66-3>
chlcromethane<74~87-3>
chrcmium<7440-47-3>
chrysene<218-01-9>
copper<7440-50-8>
cyar3ide<57-12-5>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
dibenzo(a,h) anthracene<53-70-3>
dichlorobromomethane<75-27-4>
dichlorodifluoromethane<75-71-8>
dichlororaethane<75-09-2>
dleldrin<60-57-l>
diethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
endosulfan sulfate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylbenzene<100-41-4>
fluoranthene<206-44-0>
fluorene<86-73-7>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
hexachlorobutadiene<87-68-3>
hexachlctocyclopentadiene<77-47-4>
hexachloroetharie<67-72-l>
indeno (l,2,3-cd)pyrene<193-39-5>
isophorone<78-59-l>
lead<7439-92-l>
mercury<7439-97-6>
n-nitroscdi-n-propylamine
   <621-64-7>
n-nit rose dime thy law in e<62-75-9>
n-nitrosodiphenylamine<86-30-6>
naphthalene<91-20-3>
nickel<7440-02-0>
nitrobenzene<98-95-3>
p-chloro-m-cresol<59-50-7>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 {arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-€>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
p en tachlorophenol<87- 86-5>
phenanthrene<85-01-8>
phenol<108-95-2>
pyrene<129-00-0>
selenivini<7782-49-2>
sllver<7440-22-4>
tetrachloroethylene<127-18-4>
thalliutn<7440-28-0>
toluene<108-88-3>
toxaphene<8001-35-2>
tribromonethane<75-25-2>
trichloroethylene<79-01-6>
trichlorofltioromethane<75-69-4>
vinyl chloriae<75-01~4>
zinc<7440-66-6>
                         234

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                                                                         "V,
                             Accession No.  5302000104     (cent)

(CAS)  CAS registry numbers of substances Included in data base: 71-55-6
    ; 79-34-5;  79-00-5; 75-34-3;  75-35-4;       120-82-1; 95-50-1;
    107-06-2;  78-87-5; 563-54-2;  122-66-7; 156-60-5;   541-73-1;
    106-46-7;  88-06-2; 120-83-2;  105-67-9; 51-28-5; 121-14-2;
    606-20-2;  110-75-8; 91-58-7;  95-57-8; 88-75-5; 91-94-1; 205-99-2;
    72-55-9;  50-29-3; 534-52-1;  101-55-3; 7005-72-3; 100-02-7; 83-32-9;
    208-96-8;  107-02-8; 107-13-1; 309-00-2; 120-12-7; 7440-36-0;
    7440-38-2;  1332-21-4; 71-43-2; 92-87-5; 56-55-3; 50-32-8; 191-24-2;
    207-08-9;  7440-41-7; 58-89-9; 319-84-6; 319-85-7; 319-86-8;
    111-91-1;       111-44-4; 39638-32-9; 117-81-7; 542-88-1; 74-83-9?
    85-68-7;       7440-43-9; 56-23-5; 57-74-9; 108-90-7; 124-48-1;
    75-00-3;  67-66-3;    74-87-3; 7440-47-3; 218-01-9; 7440-50-8;
    57-12-5;  84-74-2; 117-84-0;        53-70-3; 75-27-4; 75-71-8;
    75-09-2;  60-57-1; 84-66-2; 131-11-3;       1031-07-8; 959-98-8;
    33213-65-9; 7421-93-4; 72-20-8; 100-41-4;   206-44-0; 86-73-7;
    1024-57-3;  76-44-8; 118-74-1; 87-68-3; 77-47-4;    67-72-1;
    193-39-5;  78-59-1; 7439-92-1; 7439-97-6; 621-64-7; 62-75-9;
    86-30-6;  91-20-3; 7440-02-0;  98-95-3; 59-50-7; 12674-11-2;
    11104-28-2; 11141-16-5; 53469-21-9; 12672-29-€; 11097-69-1;
    11096-82-5; 87-86-5; 85-01-8; 108-95-2; 129-00-0; 7782-49-2;
    7440-22-4;  127-18-4; 7440-28-0; 108-88-3; 8001-35-2; 75-25-2;
    79-C1-6;  75-69-4; 75-01-4; 7440-66-6
(CNM)  Contact  name(s): L.N. Beasley
(COR)  Contact  organization? Office of Analytical Support/Effluent
    Guidelines    Division
(RQR)  Responsible Organization:  Office of Water.Office of Hater
    Regulations and Standards.Effluent Guidelines Divisio
                             235

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                             Accession No.   5302000105

(DQ)  Date of Questionaire:  12-02-82
(HAM)  Same of Data Base of Model:  Precision and Accuracy for  Screening
    Protocols
(ACR)  Acronym of Data Base or  Model:  PNA
(MED)  Media/Subject of Data Base or Model:  Effluents raw uaste  load
    and final effluents
(ABS)  Abstract/Overview of Data Base or Model:  This data base Mas
    created from spiking studies.  The file  structure «as to facilitate
    statistical analyses*  This required putting all the recovery  data
    for a given     priority pollutant and  its surrogates in a
    particular  saaple on the same data line.  It required identifying
    each observation by industry lab/  fraction,  priority   pollutant,
    sample type/ and spike level.  A computer file   is  maintained  for
    each industry.
(CTC)  COKTACTS: Subject matter   Beverly Harris  (703)734-2674  *,
    Computer-related  Beverl
(DTP)  Type of data collection  or monitoring: Point source data
    collection industrial influent and effluent
(STA)  Data Base status: Operational/ongoing
(SPP)  Non-pollutant parameters included in  the  data base: Chemical
    date jConcentration measures ;Industry  ^laboratory performing
    chercical
CDS)  Time period covered by data base: 03-01-80 TO 09-30-81
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: Other the analytical
    chemistry work is being conducted (data  generated) on an ongoing
    basis.
(NOB)  Number of observations in data base:  9236.(Actual)
(NEI)  Estimated annual increase of observations in data base: 9236,
(INF)  Data base includes: Raw  data/observations ;includes results
    calculated from analytical  analysis
(NTS)  Total number of stations or sources  covered in data base: 18.
(MCS)  Eo. stations or sources  currently originating/contributing  data:
    18.
(NOF)  lumber of facilities covered in data  base (source monitoring):  9.
(LOO  Data elements identifying location of station or  source include:
    N/A
(FAC)  Data elements identifying facility include: SCC
(CDE)  Pollutant identification data are: Other  coding scheme
(LIM)  Limitation/variation In  data of which user should be aware:  The
    date base was designed to facilitate     statistical evaluation of
    precision and accuracy of    the screening phase GC/MS analytical
    protocols.
(DPR)  Data collect./anal, procedures conform to CRD guidelines: Samplin
    g plan documented ^Collection method documented ^Analysis  method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit is  satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist for all
    measurements
(EOT)  Editting; Edit procedures used but undocumented.
(CBY)  Data collected by: Contractor lab TRW and Carborundum


                             236

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                             Accession No.   5302000105     (cont)

(ABV)  Data analyzed by:  Contractor lab TRW and Carborundum
(IDL)  Laboratory identification:  YES
(PR1)  Primary purpose of data collection:  determine precision and
    accuracy of analytical methods
(AUT)  Authorization for  data collection:  Ho statutory requirement:
    Data collection requirement is    to verify GC/MS results for
    priority pollutants and their  reproducibillty  for different labs.
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base:  Unpublished
    reports Evaluation of Precision and Accuracy for     Screening
    Protocols--!?onferrous Metals
(NUS)  Number of regular  users of  data base: 3
(USR)  Current regular users of data base:  EPA headquarter offices
    Effluent Guidelines Division
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data:  Contractor
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: through contractor On-Line Systems IBM
    370/158, SAS
(CHG)  Direct charge for  non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Monthly
(CMP)  Completion of form:
    Beverly Harris
    QFC: Radian Corporation
    AD: Suite 600, Lancaster Bldg. 7927 Jones Branch
    Dr. McLean/ VA 22102
    PH: (703) 734-2674
(DF)  Date of form completion: 02-08-83
(NMAT)  Number of substances represented in data base: 73
(NCAS)  Number of CAS registry numbers in data base: 70
(MAT)  Substances represented in data base:
    Wl-trichloroethane<71-55-         2,6-dinitrotoluene<606-20-2>
       €>                                2-chloroi2aphthalene<91-58-7>
    1,1,2/2,-tetrachloroethane           2-chlorophenol<95-57-8>
       <79-34-5>                         2-nitrophenol<88-75-5>
    lfl,2-trichloroethane<79-00-5>       3,4-benzofluoranthene<205-99-2>
    lj.l-dichloroethane<75-34-3>          4/6-dinitro-o-cresoK534-52-l>
    l,l-dichloroethylene<75-35-4>         4-nitrophenol<100-02-7>
    l,2,4,-trichlorobenzene<120-82-l>    acenaphthene<83-32-9>
    l,2-dichlorobenzeneC95-50-l>         acenaphthylene<208-96-8>
    I,2-dichloroethane         acetone<67-64-l>
    If2-dichloropropylene<563-54-2>      acrolein<107-02-8>
    1,2-trans-dichloroethylene           acrylonitrlle<107-13-l>
       <156-60-5>                        aldrin<309-00-2>
    If3-dlchlorobenzene<541-73-l>         anthracene<120-12-7>
    l,4-dichlorobenzene<106-46-7>         benzene<71-43-2>
    2f4-dichlorophenol<120-83-2>         benzo(a)anthracene<56-55-3>
    2,4-dimethylphenol<105-67-9>         benzo(g,t3j,i)perylene<191-24-2>
    2/4-dlnitrophenol<51-28-5>           benzo(k)f luoranthene<207-08-9>
    2/4-dinitrotoluene<121-14-2>


                             237

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                             Accession So.   5302000105     (cent)

    bis<2-ethylhexyl)phthalate           fluoranthene<206-44-0>
       <117-81-7>                        fluorene<86-73-7>
    bromomethane<74-83-9>                heptachlor<76-44-8>
    butyl benzyl phthalate<85-68-7>      hexachloroethane<67~72«l>
    calcium cyanide<592-01-8>            indeno (l/2,3-cd)pyrene<193-39-5>
    carbon tetrachloride<56-23-5>        naphthal€ne<91-20-3>
    chlordane<57-74-9>                   nitrobenzene<98-95-3>
    chlorobenzene<108-90-7>              p-chloro-m-cresol<59-SO-7>
    chlcrodibromomethane<124-48-l>       pentachlorophenol<87-86-5>
    chloroethane<75-00-3>                phenanthrene<85-01-8>
    chloroform<67-66-3>                  phenol<108-95-2>
    chlcromethane<74-87-3>               polychloclnated biphenyls (PCBs)
    chrysene<218-01-9>                   pyrene<129-00-0>
    cis-1,3-dlchloropropene              tetrachloroethylene<127-18-4>
    di-r-octyl phthalate<117-84-0>       toluene<108-88-3>
    dibenzo(a,h)anthracene<53-70-3>      trans-l/3-dichloropropene
    dichlorobroaiomethane<75-27-4>        tribroraoHethane<75-25-2>
    dichloromethane<75-09-2>             trichloroethylene<79-01-6>
    diethyl phthalate<84-66-2>           trichlorofluororaethane<75-69-4>
    ethylbenzene<100-41-4>               trichlorophenol 
CCAS)  CAS registry numbers of substances included in data base:  71-55-6
    ; 79-34-5; 79-00-5; 75-34-3; 75-35-4;       120-82-1; 95-50-1;
    107-06-2; 563-54-2; 156-60-5; 541-73-1; 106-46-7;       120-83-2;
    105-67-9; 51-28-5; 121-14-2; 606-20-2;  91-58-7; 95-57-8;
    88-75-5; 205-99-2; 534-52-1; 100-02-7;  83-32-9; 208-96-8; 67^64-1;
    107-02-8; 107-13-1; 309-00-2; 120-12-7; 71-43-2; 56-55-3; 191-24-2;
    207-08-9; 117-81-7; 74-83-9; 85-68-7; 592-01-8; 56-23-5; 57-74-9;
    108-90-7; 124-48-1; 75-00-3; 67-66-3; 74-87-3; 218-01-9; 117-84-0;
    53-70-3; 75-27-4; 75-09-2; 84-66-2; 100-41-4; 206-44-0; 86-73-7;
    76-44-8; 67-72-1; 193-39-5; 91-20-3; 98-95-3; 59-50-7; 87-86-5;
    85-01-8; 108-95-2; 129-00-0; 127-18-4;  108-88-3; 75-25-2; 79-01-6;
    75-69-4; 25167-82-2
(CNM)  contact name(s): Harris,B. ;    Harris,B. ;    Carter,M.
(ROR)  Responsible Organization: Office of  Mater.Office of Kater
    Regulations and Standards.Effluent Guidelines Divisio
                             238

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                             Accession  No.   5302000106

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Kane of Data Base of  Model:  Organic  Chemicals/Plastics  Industry
(ACR)  Acronym of Data Base  or Model: OCPSF308
(MED)  Media/Subject of Data Base or Model:  Effluents organic  chemicals
    industry /Solid waste
(ABS)  Abstract/Overview of  Data Base or Model:  The data  base  contains
    data gathered under   Section 308 of the Clean Water  Act on
    approximately    600 organic chemical and plastics  manufacturing
    plants*  Process raw Haste load data, treatment   plant data*  and
    production data are included.    Presently, the data base is  being
    automated with the   projected operational  date in  March 1981.
(CTC)  CONTACTS:  Subject matter W.  Forsht (202)  382-7173;
    Computer-related W. Forsht (202) 382-7173;  EPA Office Organic
    Chercicals Branch/Effluent Guidelines Division
(DTP)  Type of data collection or monitoring: Point source data
    collection organic chenicals industry jCombination/Cther
(STA)  Data Base  status: Operational/ongoing
(GRP)  Croups of  substances  represented in  Data Base: 129 307  CWA  ;11
    conventional  water
(KPP)  Non-pollutant parameters included in the data base: Cost/economic
    data ;Discharge points ;Flow rates  ;Location ;Manufacturer ;
    Sampling date ^Treatment devices
(DS)  Time period cowered by data base: 01-01-78 10 09-30-81
(TRM)  Termination of data collection:  Not  anticipated
(FRQ)  Frequency  of data collection or  sampling: monthly
(NOB)  Number of  observations in data base:  350000.(Estimated)
(NET)  Estimated  annual increase of observations in data  base: 110000.
(INF)  Data base  includes: Raw data/observations ^recovery data  included
(NTS)  Total number of stations or sources  covered in data base: 150.
(HCS)  Ko. stations or sources currently originating/contributing  data:
    6.
(NOF)  Number of  facilities  covered in  data base (source  monitoring):  15
    0.
(GEO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source include:
    State ^Street address
(FAC)  Data elements identifying facility Include: Plant  facility  name
    ;Plent location ;Parent  corp name  ;Parent corp location }    Street
    address ;NPDES
(CDE)  Pollutant  identification data are: CAS registry  number
(LIM)  Limitation/variation  in data of  which user should  be aware:  No
    audits of laboratories performed.     Sample of 150  plants
    represents industry of 600.  Plants are sampled in rotation  over
    time/ 5 or 6   originating data at  any one time.  Treatment plant
    data, sampling data, etc. may not be available   for  all  600
    facilities.  Some data is confidential.    The 350,000 observations
    are stored in two systems     that  will be  merged this year.   The
    110,000  anticipated increase includes  some backlog of
    historical manual data.
(DPR)  Data collect./anal, procedures  conform to ORD guidelines: Samplin
    g plan documented Collection method documented ^Analysis  method
    document QA procedures documented


                             239

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                             Accession No.   5302000106     (cont)

(ANL)  tab analysis based on EPA-approved or accepted methods? YES
(PR§)  Precision: Precision and accuracy estimates exist but are not
    included in data base.
(EDT)  Editting: So known edit procedures exist.
(CBY)  Data collected by: Self reporting .? Contract or lab PJB, Midwest
    Research/ SMRI, Envirodyne ;    Contractor Catalytic/ Inc. ;EPA
    headquarters Organic Chemicals Brands/Effluent  Guidelines Division
(A8Y)  Data analyzed by: Contractor Walk-Haydel of Nea Orleans
    EPA headquarters Organic Chemicals Branch/Effluent Guidelines
    Division
(IDL)  Laboratory Identification:  NO
(P81)  Primary purpose of data collection:  Development of regulations
    or standards
(PR2)  Secondary purpose of data collection: Technology development
(AUT)  Authorization for data collection: Statutory authorization  is  P
    L 92-500, Section 308 (Clean Mater Act-CWA)
(OMB)  Data collected/ submit ted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Development
    Document-10/81
(NDS)  Number of regular users of data base: 1 office
(USR)  Current regular users of data base:  EPA headquarter offices
    Organic Chemicals Branch/Effluent   Guidelines Division
(CNF)  Confidentiality of data and limits on access: Limits on outside
    access for some data
(DLC)  Primary physical location of data: NCC/UNIVAC
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: Commercial software SYSTEM 2000
    (application under  development) ;     EPA hardware UNIVAC
(CHG)  Direct charge for non-EPA use: no outside use/access permitted
(UPDT)  Frequency of data base master file  up-date: Semi-annually
(CMP)  Completion of form:
    S.H. Forsht
    OFC: EPA/(OWWM)/(QMRS)/(SGD)
    AD: 401 M St. SW Washington, D.C. 20460
    PH: 202-382-7137
(DF)  Date of form completion: 02-08-83
(NMAT)  Number of substances represented in data base: 140
(NCAS)  Number of CAS registry numbers in data base: 129
(MAT)  Substances represented in data base:
    l/l/l-trichloroethane<71-55-         l,2-diphenylhydrazine<122-66-7>
       6>                                1/2-trars-dichloroethylene
    1,1,2,2,-tetrachloroethane              <156-60-5>
       <79-34-5>                         l,3-dichlorobenzene<541-73-l>
    l,l,2-trichloroethane<79-00-5>       l,4-dichlorobenzene<106-46-7>
    l/l-dichloroethane<75-34-3>          2/4/6-trichlorophenol<88-06-2>
    I,l-dichloroethylene<75-35-4>        2/4/7,8-tetrachlorodibenzo-p-
    l/2/4/-trichlorobenzene<120-82-l>       dioxin (tcdd)
    I/2-dichlorobenzene<95-50-l>         2/4-dichlorophenol<120-83-2>
    I/2-dichloroethane         2/4-dimethylphenol<105-67-9>
    l/2-dichloropropane<78-87-5>         2/4-dinitrophenol<51-28-5>
    1,2-dichloropropylene<563-54-2>      2,4-dinitrotoluene<121-14-2>


                             240

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                         Accession So.  5302000106
                  
2-chloroethylwinyl ether<110-75-8>
2-cMoronaj?hthalene<91-58-7>
2-cMorophenol<95-57-8>
2-nitrophenol<88~75-5>
3,3'-dichlorobenzidine<91-94-l>
3/4-benzof luoranthene<205-99-2>
4y4*-dde(j?,p'-ddx)<72-55-9>
4, 4*-ddt<50-29-3>
4,6-dinitro-o-cresol<534-52-l>
4-bronophenyl phenyl ether
   <101-55-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol< 100-02-7>
aceraphthene<83-32-9>
acenaphthylene<208-96-8>
acidity
acrolein<107-02-8>
acrylonltrile<107-13-l>
aldrln<309-00-2>
alkalinity
anthracene<120-12-7>
antimony<7440-36-0>
ars€nic<7440-38-2>
asbestos<1332-21-4>
benzene<71-43~2>
benzidine<92-87-5>
benzo( a)anthracene<56-55-3>
benzoC a)pyrene<50-32-8>
benzo{ g,hf i) per ylene
benzo(k)fluorantbene<207~08-9>
beryllium<7440-41-7>
bhc (llndane)-ganma<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
bis (2-chloroethoxy)iaethane
bis (2-chloro ethyl )ether
bis(2-chloroisopropyl) ether
   <3S638-32-9>
bis(2-ethylhexyl)phthalate
bis(chloromethyl)ether<542-88-l>
br omome thane<7 4-83-9>
butyl benzyl phthalate<85-68-7>
cadrium<7440-43-9>
carbon tetrachloride<56-23-5>
chlordane<57-74-9>
chlorobenzene<108-90-7>
chlorodibroffloroethane<124-48-l>
chloroethane<75-00-3>
chloroforro<67-66-3>
chloromethane<74-87-3>
chroaiIura<7440-47-3>
chrysene<218-01-9>
copper<7440-50-8>
cyanide<57-12-5>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
dlbenzo(a/h)anthracene<53-70-3>
diehlorobromomethane<75-27-4>
dichlorodifluorofflethane<75-71-8>
dichlororoethane<75-09-2>
dieldrin<60-57-l>
diethyl phthalate<84-66-2>
dimethyl phthalate<131-U-3>
dissolved oxygen
dissolved solids
endosulfan sulfate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylbenzene
fecal coliforro
fluoranthene<206-44-0>
fluorene<86-73-7>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene< 118-74-l>
hexachlorobutadiene<87-€8-3>
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
indeno (l,2,3-cd)pyrene<193-39-5>
isophorone<78-59-l>
lead<7439-92-l>
mercury<7439-97-6>
n-nitrosedi-n-propylamine
   <621-64-7>
n-nitroscdinjethylanilne<62-75-9>
n-nitrosodiphenylamine<86-30-6>
naphthalene<91-20-3>
nickel<7440-02-0>
nitrobenzene<98-95-3>
nitrogen<7727-37-9>
oil and grease
oxygen demand
p-chloro-ro-cresoK59-50-7>
PH
pcb-1016 (arochlor 1016)
   <12674-ll-2>
                         241

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                             Accession Uo,   5302000106     (cent)

    pcb-1221 (arochlor 1221)              phosphorus<7723-14-0>
       <11104-28-2>                      pyrene<129-00-0>
    pcb-1232 (arochlor 1232)              seleniuia<7782-49-2>
       <11141-16-5>                      silver<7440-22-4>
    pcb-1242                       tetrachloroethylene<127-18-4>
    pcb-1248 (arochlor 1248)              thallium<7440-28-0>
       <12672-29-6>                      toluene<108-88-3>
    pcb-1254 (arochlor 1254)              toxaphene<8001-35-2>
       <11097-69-l>                      tribromoiDethane<75-25-2>
    pcb-1260 (arochlor 1260)              trichloroethylene<79-01-6>
       <11096-82-5>                      trichlorofluoroinethane<75-69-4>
    pentachlorophenol<87-86-5>           vinyl chloride<75-01-4>
    phenanthrene<85-01-8>                zinc<7440-66-6>
    phenol<108-95-2>
(CAS)  CAS registry numbers of substances included in data base: 71-55-6
    ; 7S-34-5;  79-00-5; 75-34-3;  75-35-4;       120-82-1; 95-50-1;
    107-06-2; 78-87-5; 563-54-2;  122-66-7;  156-60-5;   541-73-1;
    106-46-7; 88-06-2; 120-83-2;  105-67-9;  51-28-5; 121-14-2;
    606-20-2; 110-75-8; 91-58-7;  95-57-8; 88-75-5; 91-94-1; 205-99-2;
    72-S5-9; 50-29-3; 534-52-1; 101-55-3? 7005-72-3; 100-02-7; 83-32-9;
    208-96-8; 107-02-8; 107-13-1; 309-00-2; 120-12-7; 7440-36-0;
    7440-38-2;  1332-21-4; 71-43-2; 92-87-5; 56-55-3; 50-32-8; 191-24-2;
    207-08-9; 7440-41-7; 58-89-9; 319-84-6; 319-85-7; 319-86-8;
    111-91-1;      111-44-4;  39638-32-9; 117-81-7; 542-88-1; 74-83-9;
    85-68-7;      7440-43-9;  56-23-5; 57-74-9; 108-90-7; 124-48-1;
    75-00-3; 67-66-3;    74-87-3; 7440-47-3; 218-01-9; 7440-50-8;
    57-12-5; 84-74-2; 117-84-0;       53-70-3; 75-27-4; 75-71-8;
    75-09-2; 60-57-1; 84-66-2; 131-11-3;       1031-07-8; 959-98-8;
    33213-65-9; 7421-93-4; 72-20-8; 100-41-4;   206-44-0; 86-73-7;
    1024-57-3;  76-44-8; 118-74-1; 87-68-3;  77-47-4;    67-72-1;
    193-39-5; 78-59-1; 7439-92-1; 7439-97-6; 621-64-7; 62-75-9;
    86-30-6; 91-20-3; 7440-02-0;  98-95-3; 7727-37-9; 59-50-7;
    12674-11-2;      11104-28-2;  11141-16-5; 53469-21-9; 12672-29-6;
    11097-69-1;      11096-82-5;  87-86-5; 85-01-8; 108-95-2; 7723-14-0;
    129-00-0;     7782-49-2;  7440-22-4; 127-18-4; 7440-28-0; 108-88-3;
    8001-35-2;        75-25-2; 79-01-6; 75-69-4; 75-01-4; 7440-66-6
(CUM)  Contact name(s): Forsht^W. ;    Forsht/W.
(COR)  Contact organization:  Organic Chemicals Branch/Effluent
    Guidelines Division
(ROR)  Responsible Organization:  Office of  Water.Office of Sater
    Regulations and Standards.Effluent Guidelines Divisio
                             242

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                             Accession  No.   5302000108

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Pharmaceutical
    Screening/Verification Data  Base
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model:  Effluents treated  and
    untreated-pharmaceutical plants ;0ther raw water >     Other  cooling
    water
(ABS)  Abstract/Overview of  Data Base  or Model:  Priority  pollutant
    analysis of raw waste     loads and treated effluents at 26
    pharmaceutical  plants.
(CTC)  CONTACTS:  Subject matter  EPA Office Frank H. Hund  (202) 382-7182
(DTP)  Type of data collection or monitoring:  Point source data
    collection pharmaceutical plants
(STA)  Data Base  status: Discontinued
(GRP)  Groups of  substances  represented in Data Base: 129 307  CHA
(NPP)  Non-pollutant parameters  included in  the data base:  Collection
    method ^Concentration measures ^Discharge  points ;      Flow  rates
    ^Industry >Location ^Manufacturer  ;Sampling date j     Site
    description ^Treatment devices ^Industry subcatagories
(DS)  Time Period covered by data bases 06-01-77 TO 06-30-79
(TRM)  Termination of data collection:  Occurred 06/30/79
(FRQ)  Frequency  of data collection or  sampling: Other  one time  only:
    1-2 days per  plant ;Other Hourly &  daily:  during 2  day samp
(NOB)  Number of  observations in data  base:  629000,(Estimated)
(NEI)  Estimated  annual increase of observations in data  base: 0.
(INF)  Data base  includes: Raw data/observations jSu&nary aggregate
    observations  ^Reference  data/citations
(NTS)  Total number of stations  or sources covered  in data base: 200.
(NCS3  No. stations or sources currently originating/contributing  datas
    200.
(NOF)  Dumber of  facilities  covered in  data  base (source  monitoring):  26
    *        ;
(GEO)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or source include:
    Project identifier
(FAC)  Data elements identifying facility include: Program identifier
(CDE)  Pollutant  identification  data are: Uncoded
(LIM)  Limitation/variation  in data of  which user should  be aware: Hard
    copy only (non-computerized). 26 plants  represent industry of  400
    plants (little     sampling  of West Coast  plants)*
(DPR)  Data collect./anal, procedures  conform  to ORD guidelines: Samplin
    g plan documented Collection method documented ^Analysis  method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit  is satisfactory.
(PRE)  Precision: Precision  and  accuracy estimates  exist  but are not
    included in data base    Precision  and  accuracy estimates  are  not
    available
(EOT)  Fditting:  Ho known edit procedures exist.
(CBY)  Data collected by: Regional office Surveillance  and Analysis
    Division: Regions  1-7.  ^Contractor lab  Hydroscience, et.al.
    ;Contractor Burns and Roe


                             243

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                             Accession No.   5302000108     (cont)

(A8Y)  Data analyzed by:  Regional office (metals) Surveillance and
    Analysis Labs;    Regions I/ II, III, IV,  V,  VI,
    EPA lab (conventional pollutants) Environmental Research
    Lab-Athens, GA Environmental Research Lab-Ada,  OK.
    Contractor lab Hydroscience, Carborundum,  Acurex,  et.al.
    Contractor Burns and  Roe, at.al.
(PRO  Primary purpose of data collection:  Development of regulations
    or standards
(PR2)  Secondary purpose  of data collection: technology development
(AUT)  Authorization for  data collection: Statutory authorization  is P
    L 92-500, Section 308 (Clean Water Act-CWA)
(OMB)  Eata collected/submitted using OMB-approved  EPA reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base:  rau data
    sheets only
(HUS)  dumber of regular  users of data base: 4
(USR)  Current regular users of data base:  EPA headquarter  offices
    Effluent Guidelines Division
    EPA's pharmaceutical  contractors
(CNF)  Confidentiality of data and limits on access: Limits on access
    within SPA and outside agency for some  data
(DLC)  Primary physical location of data: Contractor
(DST)  Form of data storage: Original form (hardcopy,  readings)
(DAC)  Type of data access: Manually
(CHG)  Direct charge for  non-EPA use: no outside  use/access permitted
(UPDT)  Frequency of data base master file up-date: Other none planned
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    Comprehensive 308 Portfolio   Data Base for Pharmaceutical
    Manufacturers (Plant  and waste treatment descriptions,  and
    production  data for  464 pharmaceutical manufacturers and 100
    non-manufacturers)
(CMP)  Completion of form:
    Frank H. Hund#     OFC: EGD/OCB (WH-552)#   AD: SPA, Washington,
    D.C. 20460
    PH: (202) 382-7182
(DF)  Date of form completion: 02-08-83
(NMAT)  Number of substances represented in data  base: 132
(NCAS)  Number of CAS registry numbers in data base: 127
(MAT)  Substances represented in data base:
    1,1,1-trichloroethane<71-55-         1,2-trans-dichloroethylene
       6>                                   <156-60-5>
    1,1,2,2,-tetrachloroethane           l,3-dichlorobenzene<54l-73-l>
       <79-34-5>                         l,4-dichlorobenzene<106-46-7>
    l,l,2-trichloroethane<79-00-5>       2,4,6-trichlorophenol<38-06-2>
    l,l-dichloroethane<75-34-3>          2,4,7,8-tetrachlorodibenzo-p-
    1,l-dichloroethylene<75-35-4>           dioxin  (tcdd)
    l,2,4,-trichlorobenzene<120-82-l>    2,4-dichlorophenol<120-83-2>
    l,2-dichlorobenzene<95-50-l>         2,4-dimethylphenol
    l,2-dichloroethane<107-06-2>         2,4-dinitrophenol<51-28-5>
    l,2-dichloropropane<78-87-5>         2,4-dinitrotoluene<121-14-2>
    l,2-dichloropropylene<563-54-2>      2,6-dinitrotoluerie<606-20-2>
    l,2-diphenylhydrazine<122-66-7>      2-chloroethylvinyl ether<110-75-8>


                             244

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                         Accession No.  5302000108
                  (cont)
2-chloronaphthalene<91-58-7>
2-chlorophenol<95-57-8>
2-nitrophenol< 88-75-5>
3,3'-dichlorobenzidine<91-94-l>
3, 4-benzof luoranthene<205-99-2>
4,4'-ddd(p,p*tde)
4,4'-dde(p,p--ddx)<72-55-9>
4,4*-ddt<50-29-3>
4, 6-dinitro-o-cresol<534-52-l>
4-broroophenyl phenyl ether
   <101-55-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
acenaphthene<83-32-9>
acenaphthylene<208-96-8>
acrolein<107-02-8>
acrylonitrile<107-13-l>
aldrln<309-00-2>
anthracene
antiroony<7440-36-0>
arsenic<7 440-38- 2>
asbestos<1332-21-4>
benzene<71-43-2>
benzidine< 92-87- 5>
benzo( a) anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
bemo<.gfhf i)perylene<191-24-2>
benzo
berjfllium<7440-41-7>
bhc (llndane)-gamma<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
biological oxygen demand (BOD)
bis (2- chloroethoxy) methane
bis{2-chloroethyl)ether
bi s { 2-chl orois op ropyl) ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis(chloromethyl)ether<542-88-l>
broi60methane<74-83-9>
butyl benzyl phthalate<85-68-7>
cadmium<7440-43-9>
carbon tetrachloride<56-23-5>
chemical oxygen demand (COD)
chlordane< 57-74- 9>
chlorobenzene<108-90-7>
chlcrodibromomethane
chloroethane<75-00-3>
chloroform<67-66-3>
chloromethare<74-87-3>
chroraiUffl<7440-47-3>
chrysene<218-01-9>
copper<7440-50-8>
cyanide<57-12-5>
dl-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
dibenzo(a,h)anthracene<53-70-3>
dichlorobronoffiethane<75-27-4>
dichlorodifluoromethane<75-71-8>
dlchlorooethane<75-09-2>
dieldrin<60-57-l>
diethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
endosulfan sulf ate
endosylfan-alpha<959-98-8>
endosulfan-beta<332!3-65-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
e thy lbenzene
£luoranthene<206-44-0>
fluorene<86-73-7>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
hex achl crobut aaiene<87- 6 8-3>
hexachlcrocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
indeno (l,2,3-cd)pyrene<193-39-5>
isophorone<78-59-l>
lead<7439-92-l>
raercury<7439-97-6>
n-nitrosodi-n-propylamine
   <621-64-7>
n-nitrosodiroethylamine<62-75-9>
n-nitrosodiphenylamine< 86-30-6>
naphthalene<91-20-3>
nickel<7440-02-0>
nitrobenzene<98-95-3>
p-chloro-ffl-cresoI<59-50-7>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
                         245

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                             Accession No.   5302000108     (cont)

    pcb-1254 (arochlor 1254)             tetrachloroethylene<127-18-4>
       <11097-69-l>                      thalllum<7440-28-0>
    pcb-1260 (arochlor 1260)             toluene<108-88-3>
       <11096-82-5>                      total suspended solids (TSS)
    pentachlorophenol<87-86-5>           toxaphene<8001-35-2>
    phenanthrene<85-01-8>                trlbromomethane<75-25-2>
    phet3oK108-95-2>                     trichloroethylene<79-01-6>
    pyrene<129-00-0>                     trichlorofluoromethane<75-69-4>
    seleniura<7782-49-2>                  vinyl chloride<75-01-4>
    silver<7440-22-4>                    zinc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data base: 71-55-6
    ; 79-34-5;  79-00-5; 75-34-3; 75-35-4;       120-82-1; 95-50-1;
    107-06-2; 78-87-5; 563-54-2; 122-66-7;  156-60-5;   541-73-1;
    106-46-7; 88-06-2; 120-83-2; 105-67-9;  51-28-5; 121-14-2;
    606-20-2; 110-75-8; 91-58-7; 95-57-8; 88-75-5; 91-94-1; 205-99-2;
    72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7; 83-32-9;
    208-96-8; 107-02-8; 107-13-1; 309-00-2; 120-12-7; 7440-36-0;
    7440-38-2;  1332-21-4; 71-43-2; 92-87-5; 56-55-3; 50-32-8; 191-24-2;
    207-08-9; 7440-41-7; 58-89-9; 319-84-6; 319-85-7; 319-86-8;
    111-91-1;      111-44-4; 39638-32-9; 117-81-7; 542-88-1; 74-83-9;
    85-68-7;      7440-43-9; 56-23-5; 57-74-9; 108-90-7; 124-48-1;
    75-00-3; 67-66-3;    74-87-3; 7440-47-3; 218-01-9; 7440-50-8;
    57-12-5; 84-74-2; 117-84-0;       53-70-3; 75-27-4; 75-71-8;
    75-09-2; 60-57-1; 84-66-2; 131-11-3;       1031-07-8; 959-98-8;
    33213-65-9; 7421-93-4; 72-20-8; 100-41-4;   206-44-0; 86-73-7;
    1024-57-3;  76-44-8; 118-74-1; 87-68-3;  77-47-4;    67-72-1;
    193-39-5; 78-59-1; 7439-92-1; 7439-97-6; 621-64-7; 62-75-9;
    86-30-6; 91-20-3; 7440-02-0; 98-95-3; 59-50-7; 12674-11-2;
    11104-28-2; 11141-16-5; 53469-21-9; 12672-29-6; 11097-69-1;
    11096-82-5; 87-86-5; 85-01-8; 108-95-2; 129-00-0; 7782-49-2;
    7440-22-4;  127-18-4; 7440-28-0; 108-88-3; 8001-35-2; 75-25-2;
    79-01-6; 75-69-4; 75-01-4; 7440-66-6
(CNM)  Contact namc(s): Langer,B. ;    HundfF.
(ROR)  Responsible Organization: Office of Hater.Office of fcater
    Regulations and Standards.Effluent Guidelines Divislo
                             246

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                             Accession  No.   5302000109

(DQ)   Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Data Collection  Portfolio  for
    Industrial Waste  Discharges
(ACR)  Acronym of Data Base  or  Model: DCP
(MED)  Media/Subject of Data Base or Model:  Effluents manufacturing
    point source ;0ther industrial sludge
(ABS)  Abstract/Overview of  Data  Base or Model:  The data base contains
    quantitative     determinations of  conventional and priority
    pollutants present in wastes  discharged  to lands publicly owned
    treatment plants, and watercourses  that  originate from  industrial
    manufacturing operations.  Measure  of  waste  volume  and  pollutant
    load per ton of finished     product and applied Haste  disposal
    scheme and     capability are also  included  in  the  data base*
(CTC)  CONTACTS: Subject matter Jan Goodain  (202)382-7126;
    Computer-related Pearl Smith  (202)382-7171?  EPA Office      Ernst P.
    Hall (202)382-7126
(DTP)  Type of data collection or Monitoring:  Point source  data
    collection industrial manufacturing wastes
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in Data  Base: 43 air  priority
    chemicals }5 NESHAPS ;3  HID  CAA ;129  307  CWA J  11 conventional
    water ;41 CWA potential  criteria ;21 drinking water standards  y  9
    potential drinking Mater ;29.  drinking  water  monitoring  ;299
    hazardous substances ; 48 cancelled pesticides  ;54  TSCA assessment
    ;15 metals
(NPP)  Kon-pollutant parameters included in  the  data base:  Chemical
    data ;Compliance data ^Concentration measures ;Cost/economic data ;
    Discharge points ;0isposal ;Flow rates ^Industry ^Location
    jManufacturer ; Political subdivisions ;Production  levels ^Sampling
    date |Treatment devices  /  age of  manufacturing plant  >water  usage
    /recovery techniques ;   production levels ;production  capacity
(DS)   Time period covered by data base: 01-01-74 to 12-31-82
(TRM)  Termination of data collection:  Anticipated  06/30/84
(FRQ)  Frequency of data collection or  sampling: Other  as needed to
    support development of guidelines
(ROB)  Number of observations in  data base:  450,000.(Estimated)
(NEI)  Estimated annual increase  of observations in data base: 48000.
(INF)  Data base includes: Ran data/observations
(NTS)  Total number of stations or sources covered  in data  base: 3120.
(NCS)  No. stations or sources currently originating/contributing  data:
    1 (at a time in most cases.)
(NOF)  Kumber of facilities  covered in  data  base (source monitoring): 31
    20.
(GEO)  Geographic coverage of data base: National
(LOG)  Data elements identifying  location  of station or source include:
    State /City ^Street address >sample source/operation
(FAC)  Data elements identifying  facility  include:  Plant facility  name
    ;Plant location ;Parent  corp  name  ;Parent corp  location ;   Street
    address >SIC code as applied  by Ffflent  Guidelines  Division ;
    Effluent Guidelines Division  coding
(CDE)  Pollutant identification data are:  Uncoded
(LIM)  Limitation/variation  in data of  ahich user should be aware: Data


                             247

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                             Accession No.  5302000109     (cont)

    base (and periods covered) varies  primarily to address specific
    concerns relating to     individual industrial operations,  i.e. in
    Part    industry specific.  Industry respondents not subject to EPA
    quality assurance control guidelines.
(ANL)  Lab analysis based on EPA-approved or accepted methods?  NO
(AUD)  Lab Audit: Lab audit is satisfactory for 25%.  (Data obtained
    thrcught contractor and EPA labs)
(PRE)  Precision: Precision and accuracy estimates partially exist for
    25% (data obtained     through contractor and EPA labs). Edit
    review and confirmation by project officer, contractor, EPA
    internal.
(CBY)  Data collected by: Self reporting
(ASY)  Data analyzed by: Contractor, Versar, Radian Corp, NDS    and
    Svecral and Parcel)
(IDL)  Laboratory identification:  NO
(PR1)  Primary purpose of data collection: Development of regulations
    or standards
(AUT)  Authorization for data collection: Statutory authorization is P
    L 92-500 as amended. Section 30B (Clean Mater  Act-CWA)
(OMB)  Tata collected/submitted using OMB-approved EPA reporting forms:
    QO
(REP)  Form of available reports and outputs of data base: Publications
    development documents for each industry
    Unpublished reports contractors reports to EPA
(NUS)  Number of regular users of data base: 150 (Lou figured)
(fJSR)  Current regular users of data base: EPA headquarter offices
    Effluent Guidelines Division
(CNF)  Confidentiality of data and limits on access: Limits on  access
    within EPA and outside agency for some  data
(OST)  Form of data storage: Original form (hardcopy, readings)  DATA
    LOCATION: Headquarters office
(DAC)  Type of data access: Commercial software Word One (Boune
    Information Systems)
(CHG)  Direct charge for non-EPA use: no outside use/access permitted
(UPDT)  Frequency of data base master file up-date: Other data  used to
    develop guidelines
(RDBEPA)  Related EPA data bases used in conjunction with this  data base
    Discharge Monitoring Reports? Steam Electric 1976 308 questionnaire
    data base   D 5302 000114;Pulp and paper 308 data
(CMP)  Completion of form:
    Janet K. Goodwing  OFC: EPA/(OWMM)/
       6>                                l,l-dichloroethylene<75-35-4>
    1, 1,2, 2,-tetrachloroethane           i,2,4,-trichlorobenzene<120-82-l>
       <79-34-5>                         l,2-dichlorobenzene<95-50-l>
    l,l,2-trlchloroethane<79-00-5>       l,2-dlchloroethane<107-06-2>


                             248

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                         accession No.  5302000109
                  tcont)
I,2-dichloropropane<78-87-5>
If2-dichloropropylene<563-54-2>
l,2-dlphenylhydrazine<122-66-7>
ly 2-trans-dichloroethylene
   <156-60-5>
l/3-dichlorobenzene<541-73-l>
l,4-dichlorobenzene<106-46-7>
2,4,6-trichlorophenol<88-06-2>
2/4/7, 8-tetrachlorodibenzo-p-
   dloxin (tcdd)
2,4-dichlorophenol<120-83-2>
2,4-diraethylphenoK105-67~9>
2f4-dinitrophenol<51-28-5>
2,4-dinitrotoluene<121-14-2>
2,6-dinitrotoluene<606-20-2>
2-chloroethylvinyl ether<110-75-8>
2-chloronaphthalene<91-58-7>
2-chlorophenol<95-57-8>
2-nitrophenol<88-75-5>
3,3 *-dichlorobenzidine<91-94-l>
3,4-benzofluoranthene<205-99-2>
4/4'-ddd(p/p'tde)
4/4'-dde(p/p'-dd3c}<72-55-9>
4,4--ddt<50-29-3>
4/6-dinitro-o-cresol<534-52-l>
4-bromophenyl phenyl ether
   <101-55-3>
4-chlorophenyl pheayl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
acenaphthene<83-32-9>
aceraphthylene<208-96-8>
acrolein<107-02-8>
acrylonitrile<107-13-l>
alcrin<309-00-2>
amn5on!a<7664-41-7>
anthracene<120-12-7>
antimony<7440-36-0>
arsenic<7440-38-2>
asbestos<1332-21-4>
ben2ene<71-43-2>
benzidine< 92-87-5>
benzo( a)anthraeene<56-55-3>
benzoC a)pyrene<50-32-8>
ben zo(g,h/i)perylane
benzo(k)fluoranthene<207-08-9>
berylUum<7440-41-7>
bhc (lindane)-gamma<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-3>
bis(2-chlotoethoxy)niethane
bis(2-chloroethyl)ether
bis(2-chloroisopropyl)ether
   <39638-32-9>
bis(2-ethylhexyljphthalate
bls(chloromethyl)ether<542-88-l>
bromomethane<74-83-9>
butyl benzyl phthalate<85-68-7>
cadffliura<7440-43-9>
carbon tetrachloride<56-23-5>
chlordane<57-74-9>
chlorides
chl orobenzene< 108-90-7>
chlorodibroBoii!ethane<124-48-l>
chloroethane<75-00-3>
chlorofotia<67-66-3>
chloroaiethane<74-87-3>
chrofflium<7440-47-3>
chrysene<218-01-9>
copper<7440-50-8>
cyanide<57-12-5>
ddd(tde)
ddt
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
dibenzo(a/h)anthracene<53-70-3>
dichlorobromoraethane<75-27-4>
dIchlorodifluoroiHethane<75-71-8>
dichloromethane<75-09-2>
dieldrin<60-57-l>
diethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
dissolved solids
endosulfan sulfate
endosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endrin aldehyde<7421-93^4>
endrin<72-20-8>
ethylbenzene<100-41-4>
f luoranthene<206-44-0>
f luorene<86-73-7>
fluorides
heptachlor epoxide<1024-57-3>
heptachior<76-44-8>
hexachlorobenzene<118-74-l>
hexachlorobiitadiene<87-68-3>
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
indeno (1^2/3-cd)pyrene<193-39-5>
iron<7439-89-6>
                         249

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                             Accession No.   5302000109
                                                           (cont)
    isophorone<7 8-59-l>
    lead<7439-92-l>
    m-cresol<108-39-4>
    m-xylene<108-38-3>
    mercury<7439-97-6>
    n-nitrosodi-n-propylamine
       <62l-64-7>
    n-nitrosodimethylaraine<62-75-9>
    n-nitrosodiphenylamlne<86-30-6>
    naphthalene<91-20-3>
    nickel<7440-02-0>
    nitrobenzene<98-95-3>
    o-cresol<95-48-7>
    o-xyleneC 95-47-6>
    oil and grease
    p-chloro-m-cresol<59-50-7>
    p-c resoKl 06-44-5>
    P-xylene<106-42-3>
    pcb-1016 (arochlor 1016)
       <12674-ll-2>
    pcb-1221 (arochlor 1221)
       <11104-28-2>
    pcb-1232 (arochlor 1232)
                                            <53469-21-9>
                                         pcb-1248 (arochlor 1248)
                                            <12672-29-6>
                                         pcb-1254 (arochlor 1254)
                                            <11097-69-l>
                                         pcb-1260 (arochlor 1260)
                                            <11096-82-5>
                                         pentachlorophejiol<87-86-5>
                                         Ph
                                         phenanthrene<85-01-8>
                                         phenol<108-95-2>
                                         pyrene
                                         selenlum<7782-49-2>
                                         silver<7440-22-4>
                                         suspended solids
                                         tetrachloroethylene<127-18-4>
                                         thalliuiB<7440-28-0>
                                         toluene<108-88-3>
                                         toxaphene<8001-35-2>
                                         trlbronoisethane<75-25-2>
                                         trichloroethylene<79-01-6>
                                         trlchlorofluoromethane<75-69-4>
                                         vinyl chlorlde<75-01-4>
                                         xylene<1330-20-7>
                                         2lnc<7440-66-6>
       CAS registry numbers of substances included in data base: 71-55-6
    ;  79-34-5;  79-00-5;  75-34-3;  75-35-4;       120-82-lj 95-50-1;
    107-06-2;  78-87-5; 563-54-2;  122-66-7;  156-60-5;   541-73-1;
    106-46-7;  88-06-2; 120-83-2;  105-67-9;  51-28-5; 121-14-2;
    606-20-2;  110-75-8;  91-58-7;  95-57-8; 88-75-5; 91-94-1; 205-99-2;
    72-55-9;  50-29-3;  534-52-1;  101-55-3; 7005-72-3; 100-02-7; 83-32-9;
    208-96-8;  107-02-8;  107-13-1; 309-00-2; 7664-41-7;  120-12-7;
    7440-36-0;  7440-38-2;  1332-21-4;  71-43-2; 92-87-5;  56-55-3;
    50-32-8;        191-24-2;  207-08-9;  7440-41-7; 58-89-9; 319-84-6;
    319-85-7;  319-86-8;       111-91-1;  111-44-4; 39638-32-9; 117-81-7;
    542-88-1;  74-83-9; 85-68-7;       7440-43-9; 56-23-5; 57-74-9;
    108-90-7;  124-48-1;  75-00-3;  67-66-3;    74-87-3; 7440-47-3;
    218-01-9;  7440-50-8; 57*12-5; 84-74-2;  117-84-0;       53-70-3;
    75-27-4;  75-71-8;  75-09-2; 60-57-1; 84-66-2; 131-11-3;
    1031-07-8;  959-98-8; 33213-65-9;  7421-93-4; 72-20-8; 100-41-4;
    206-44-0;  86-73-7;  1024-57-3; 76-44-8;  118-74-1; 87-68-3; 77-47-4;
    67-72-1;  193-39-5; 7439-89-6; 78-59-1;  7439-92-1; 108-39-4;
    108-38-3;       7439-97-6; 621-64-7; 62-75-9; 86-30-6; 91-20-3;
    7440-02-0;  98-95-3;    95-48-7; 95-47-6; 59-50-7; 106-44-5;
    106-42-3;  12674-11-2;        11104-28-2; 11141-16-5; 53469-21-9;
    12672-29-6; 11097-69-1;      11096-82-5; 87-86-5; 85-01-8;
    108-95-2;  129-00-0;  7782-49-2;     7440-22-4; 127-18-4; 7440-28-0;
    108-88-3;  8001-35-2; 75-25-2;    79-01-6; 75-69-4;  75-01-4;
    1330-20-7;  7440-66-6
(CNM)   Contact name(s):  Goodwin/J.   ;     Smith,P.;    Hall/E.P.
(ROR)   Responsible Organization:  Office of Water.Office of Hater
    Regulations and Standards.Sffluent  Guidelines Divisio
    pcb-1242 (arochlor 1242)
(CAS)
                             250

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Accession No.  5302000109     (cont)
251

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                             Accession No,   5302000110

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model;  Quality  Assurance Summary Report
(ACR)  Acronym of Data Base  or Model; (3ASR
(MED)  Media/Subject of Data Base or Model:  Effluents industrial
    limitations and guidelines jOther Effluent Guidelines  Divis program
    products
(ABS)  Abstract/Overviey of  Data Base or Model:  The Quality  Assurance
    Summary Report is to  provide a summary of  Effluent Guidelines
    Division (EGD) data available for comparative analysis of
    information and descriptions for all EGD projects.      It further
    serves to provide an analysis and summary   of the  EGD rulemaking
    activity quality with respect    to strengths and weaknesses  for
    defensability of  the regulations,
(CTC)  CONTACTS:  Subject matter   Debbie Seal  (202)426-2571 ;      SPA
    Office  Jim Gallup  (202)
(DTP)  Type of data collection or monitoring: Point source data
    collection industrial
(STA)  Data Base  status:  Discontinued
(DPO)  Projected  operational date of Data Base:  10-00-80
(GRP)  Groups of  substances  represented in  Data  Base: 129  307 C'iJA ;11
    conventional  water ;15 metals
(NPP)  Non-pollutant parameters included in the  data base; Collection
    method Concentration measures ;Cost/economic data  ;    Discharge
    points ;Flow  rates ;Funding data ;Industry ;Sampling date ;
    Test/analysis method ;Treatment devices /Use ;Volume/mass measures
    ;  subcategorization of  regulations
(DS)  Time period covered by data base: 10-01-80 TO 09-30-81
(TRM)  Termination of data collection: Not  anticipated
(FPQ)  Frequency  of data collection or sampling: as needed
(N08)  Number of  observations in data base:  96352,(Estimated)
(NEI)  Estimated  annual increase of observations in data base:  (N/A.)
(INF)  Data base  includes: Raw data/observations ^Summary  aggregate
    observations  ;Reference  data/citations
(NTS)  Total number of stations or sources  covered in data base:  50
    (industries.)
(NCS)  Ko. stations or sources currently originating/contributing data:
    6.
(NOF)  Number of  facilities  covered in data base (source monitoring):  (N
    /A.)
(LOC)  Data elements identifying location of station or source include:
    Project identifier
(FAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant  identification data are: Other  coding  scheme
(LIM)  Limitation/variation  in data of which user should be  aware:  Summa
    rlzation of existing data bases for     specific rulemaking
    activities within Effluent    Guidelines Division,
(ANL)  Lab analysis based on EPA-approved or accepted methods? NO
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision  and accuracy estimates exist but are  not
    included in data base    Edit reviewed  by Office of Quality Review
    (Effluent Guidelinss Division)   Chief.
(CBY)  Data collected by: EPA headquarters  Office of Quality Review/

          Preceding page blank
                             252

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                             Accession No.   5302000110     (cont)

    Effluent  Guidelines Division collect
(ABY)  Data analyzed by; EPA headquarters Office of Quality Revleu,
    Effluent    Guidelines Division.
(IDL)  Laboratory identification: YES
                                   dioxin (tcdd)
    l,l,2,2/-tetrachloroethane           2,4-dichlorophenol<120-83-2>
       <79-34-5>                         2,4-dimethylphenol<105~67-9>
    l,l/2-trichloroethane<79-00-5>       2j.4-dinitrophenol<51-28-5>
    \fl-dichloroethane<75-34-3>          2r4-dinltrotoluene<121-14-2>
    l/l-dlchloroethylene<75-35-4>        2,6-dinltrotoluene<606-20-2>
    l/2/4/-trichlorobenzene<120-82-l>    2-chloroethylvinyl ether<110-75-8>
    l/2-dichlorobenzene<95-50-l>         2-chloronaphthalene<91-58-7>
    l,2-dichloroethane<107-06-2>         2-chlorophenol<95-57-8>
    l/2-dichloropropane<78-87-5>         2-nitrophenol<88-75-5>
    l/2-dichloropropylene<563-54-2>      3/3'-dlchlorobenzidine<91-94-l>
    l,2-diphenylhydrazine<122-66-7>      3/4-benzofluoranthene<205-99-2>
    1/2-trans-dichloroethylene           4/4*-ddd{p/p*tde)
       <156-60-5>                        4/4'-dde(p,p'-ddx)<72-55-9>
    l/3-dichlorobenzene<541-73-l>        4/4'-ddt<50-29-3>
    1,4-dichlorobenzene<106-46-7>        4/6-dinitro-o-cresol<534-52-l>
    2/4/6-trichlorophenoi<88-06-2>


                             253

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                         Accession No.  5302000110
                  (corst)
4-broasophenyl phenyl ether
   <101-55-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol
acenaphthene<83-32-9>
acenaphthylene<208-96-8>
acidity
acrolein<107-02-8>
acrylonitrile<107-13-l>
aldrin<309-00-2>
alkalinity
anthracene<120-12-7>
antimony<7440-36-0>
arsenic<7440-38-2>
asbestos<1332-21-4>
bariura<7440-39-3>
benzene<71-43-2>
benzidine<92-87-5>
benzo( a) anthr acene<56-55-3>
benzo(a)pyrene<50-32-8>
benzo(gjfh,i)perylene<191-24-2>
benzo(k)fluoranthene<207-08-9>
beryllium<7440-41-7>
bhc (lindane)-gararaa<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
bis(2-chloroethoxy)nethane
bis{2-chloroethyl)ether
bis{2-chloroisopropyl) ether
   <39638-32-9>
bis{2-ethylhexyl)phthalate
bis(chlorofflethyl)eUier<542-88-l>
bromomethane<74-83-9>
butyl benzyl phthalate<85-68-7>
cadni«m<7440-43-9>
carbon tetrachloride<56-23-5>
chlordane<57-74-9>
chlorobenzene<108-90-7>
chlorodibroaoaethane<124-48-l>
chloroethane<75-00-3>
chlcroform<67-66-3>
chloromethane<74-87-3>
chromium<7440-47-3>
chrysene<218-01-9>
cobalt<7440-48-4>
copper<7440-50-8>
cyanide<57-12-5>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
dibenzo(a^h)anthracene<53-70-3>
dichlorobrofflomethane<75-27-4>
dichlorodifluoromethane<75-71-8>
dichloro»ethane<75-09-2>
dieldrin<60-57-l>
diethyl phthalate<84-66»2>
dimethyl phthalate<131-ll-3>
dissolved oxygen
dissolved solids
endosulfan sulfate<1031-07-8>
endo5ulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylbenzene<100-41-4>
fecal coliform
fluoraatliene<206-44-0>
fluorene<86-73-7>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
hexachlorobutadiene<87-68-3>
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
indeno (l,2^3-cd)pyrene<193-39-5>
iron<7439-89-6>
isophorone<78-59-l>
lead<7439-92-l>
raanganese<7439-96-5>
mercury<7439- 97-6>
n-nitrosodi-n-propylaniine
   <621-64-7>
n-nitrosodiBtethylanine<62-75-9>
n-nitrosodiphenylainine<86-30-6>
naphthalene<9l-20-3>
nickel<7440-02-0>
nitrobenzene<98-95-3>
nitrogen<7727-37-9>
oil and grease
oxygen demand
p-chioro-m-cresol<59-50-7>
pH
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
                         254

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                             Accession No.   5302000110     (cont)

    pcb-1248 (arochlor 1248)              suspended solids
       <12672-29-6>                       tetrachloroethylene<127-l8-4>
    pcb-1254 (arochlor 1254)              thalliun<7440-28-0>
       <11097-69-l>                       titanium<7440-32-6>
    pcb-1260 (arochlor 1260)              toluene<108-88-3>
       <11096-82-5>                       toxaphene<8001-35-2>
    pentachlorophenol<87-86-5>           tribronomethane<75-25-2>
    phenanthrene<85-01-8>                trichloroethylene<79-01-6>
    phenol<108-95-2>                      trichlorofluoromethane<75-69-4>
    phosphorus<7723-14-0>                vanadlum<7440-62-2>
    pyrene<129-00-0>                      vinyl chloride<75-01-4>
    seleniura<7782-49-2>                  zinc<7440-66-6>
    silver<7440-22-4>
(CAS)   CAS registry  numbers of substances included in data  base: 71*55-6
    ;  79-34-5;  79-00-5; 75-34-3; 75-35-4;       120-82-1; 95-50-1;
    107-06-2; 78-87-5; 563-54-2; 122-66-7;  156-60-5;   541-73-1;
    106-46-7; 88-06-2; 120-83-2; 105-67-9;  51-28-5; 121-14-2;
    606-20-2; 110-75-8; 91-58-7; 95-57-8; 88-75-5; 91-94-1; 205-99-2;
    72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7; 83-32-9;
    208-96-8; 107-02-8; 107-13-1; 309-00-2; 120-12-7; 7440-36-0;
    7440-38-2;  1332-21-4; 7440-39-3;  71-43-2; 92-87-5; 56-55-3;
    50-32-8;       191-24-2;  207-08-9; 7440-41-7; 58-89-9;  319-84-6;
    319-85-7; 319-86-8;      111-91-1; 111-44-4; 39638-32-9; 117-81-7;
    542-88-1; 74-83-9; 85-68-7;      7440-43-9; 56-23-5; 57-74-9;
    108-90-7; 124-48-1; 75-00-3; 67-66-3;    74-87-3; 7440-47-3;
    218-01-9; 7440-48-4; 7440-50-8; 57-12-5; 84-74-2;      117-84-0;
    53-70-3; 75-27-4; 75-71-8; 75-09-2; 60-57-1; 84-66-2;
    131-11-3; 1031-07-8; 959-98-8; 33213-65-9; 7421-93-4; 72-20-8;
    100-41-4; 206-44-0; 86-73-7; 1024-57-3; 76-44-8; 118-74-1; 87-68-3;
    77-47-4; 67-72-1; 193-39-5; 7439-89-6;  78-59-1; 7439-92-1;
    7439-96-5;       7439-97-6; 621-64-7; 62-75-9; 86-30-6;  91-20-3;
    7440-02-0;  98-95-3;   7727-37-9;  59-50-7; 12674-11-2; 11104-28-2;
    11141-16-5; 53469-21-9;   12672-29-6; 11097-69-1; 11096-82-5;
    87-86-5; 85-01-8; 108-95-2;       7723-14-0; 129-00-0;  7782-49-2;
    7440-22-4;  127-18-4; 7440-28-0;       7440-32-6; 108-88-3;
    8001-35-2;  75-25-2; 79-01-6; 75-69-4; 7440-62-2;      75-01-4;
    7440-66-6
(CHM)   Contact name(s): Seal/D.   ;    Gallup/J.
(ROR)   Responsible Organization: Office of Hater.Office of Water
    Regulations and  standards* Effluent Guidelines Divisio
                             255

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                             Accession No.   5302000111

Street address ;Project  identifier
(FAC)  Data elements identifying facility include:  Plant facility name
    ;Plant location ^Parent corp name  ;Parent corp  location ;     Street
    address >SIC code
(CDE)  Pollutant identification data  are: Uncoded
(LIM)  Limitation/variation in data of which user should be aware: Contr
    actor has possession of data until regulation is prosposed and then
    data goes to library as    part of regulation record.
(DPR)  Data collect./anal, procedures  conform to ORD guidelines:  ORD
    Guidelines
(AND  Lab analysis based on EPA-approved or accepted methods? YES


                             256

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                             Accession No.   5302000111      (cont)

(AUD)  Lab Audit:  Lab audit is satisfactory.
(PRE)  Precision:  Precision and accuracy estimates exist for  all
    measurements.  Edit only the effluent data/  not raw  or process  data.
(CBY)  Data collected by:  Contractor lab Jacobs Engineering ^Contractor
    Jacobs Engineering }      EPA headquarters Effluent  Guidelines
    Division
(A8Y)  Data analyzed by:  Contractor lab Jacobs  Engineering
    Contractor Jacobs Engineering
    EPA headquarters Effluent Guidelines Division
(IDL)  Laboratory  Identification: YES
(PR1)  Primary purpose of  data collection:  Development  of regulations
    or standards
(AUf)  Authorization for  data collection: Statutory authorization  is  P
    L 92-500 as amended,  Section 308 (Clean Water  Act-CMA)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting  forms:
    QQ
(REP)  Form of available  reports and outputs of data base: Publications
    Development Document  supporting Effluent Guideline   for each
    Industry
    Microfilm
(NUS)  number of regular  users of data base:  10
(USR)  Current regular users of data base:  EPA  headquarter offices
    Effluent Guidelines Division
    EPA regional offices
    EPA laboratories
    States
(CMF)  Confidentiality of  data and llralts on access: Limits on access
    within SPA and outside agency for some   data
(DLC)  Primary physical location of data: EOA-EGD
(DST)  Form of data storage: Original forra  (hardcopy, readings)
(DAC)  Type of data access: Manually
(CflG)  Direct charge for  non-EPA uses no
(UPDT)  Frequency  of data  base master file  up-date: Other no  update of
    historical data; observations from new  sources are   added.
(CMP)  Completion of form:
    Ed Stigall
    OFC: EFA/(aW)/(OWRS)/(EGD)
    AD: 401 M St.  SW Washington, DC 20460
    PH: (202) 382-7124
(DF)  Date of form completions 02-08-83
(NMAT)  Number of substances represented in data base:  416
(NCAS)  Number of CAS registry nuabers in data  base: 370
(MAT)  Substances represented in data base:
                                         0,0-dlethyl-s-raethyl ester of phos
    "0, 0-diethyl phosphoricacid,0-p-        1/1* 1^2-tetrachloroethane
       nitrophenyl ester<311-45-5>          <630-20-6>
    0,0-diethyl-0-(2-pyrazinyl)          l,l,l-trichloroethane<71-S5-6>
       FhoshorothioO/0-diethyl-s-(2-     1,1/2/2,-tetrachloroethane
       ethylthio)ethyl)ester of             <79-34-5>
       phosphorodithioicacid             l,l,2-trichloroethane<79-00-5>
                                         1,l-dlchloroethane<75-34-3>
                                         l,l-dichloroethylene<75-35-4>


                             257

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                         Accession No.   5302000111
                  (cent)
l/l-dinsethylhydrazine<57-14-7>
l/2r3/4,10/10-hexachloro-l/4/4a/5/
   8/8a-hexahydro-l/4:5/8-endo/
   endo-dimethan
l/2/4/-trichlorobenzene 1/2/4/5-
   tetrachlorobenzene<95-94-3>
l/2-dibromo-3-chloropropane 
I/2-dlbroraoethane<106-93-4>
I/2-dichlorobenzene<95-50-l>
l/2-dichloroethane<107-06-2>
l/2-dichloropropane<78-87-5>
I,2-dichloropropylene<563~54-2>
l/2-diethylhydrazine<1615-80-l>
l/2-dimethylhydra:zine<540-73-8>
I/2-diphenylhydr azine<122-66-7>
l/2-propanediol<57-55-6>
1/2-trans-dichloroethylene
   <156-60-5>
I,3-dlchlorobenzene<541-73-l>
l/3-dichloropropene<542-75-6>
l/3-pentadiene<504-60~9>
1/3-propane sultone<1120-71-4>
I/4-dichlpro-2-butene<110-57-6>
ly4-dichlorobenzene<106-46-7>
l/4-dioxane<123-91-l>
l/4-naphthoquinone<130-15-4>
l-(o-chlorophenyl)thiourea
   <5344-82-l>
l-(p-chlorobenzoyl)-5-raetho3cy-2-
   methy.llndole-3-acetlc acid
l-chloro-2/3-epoxypropane
   <106-89-8>
l-naphthyl-2-thiourea<86-88-4>
l-nsphthylamine<134-32-7>
1.3-dichlorobenzene<541-73-l>
2/3/4/6-tetrachlorophenol<58-90-2>
2/4/5-trichlorophenol<95-95-4>
2/4/5"trichlorophenoxyacetic acid
   (T)<93-76-5>
2/4/5-trichlorophenoxyprop ionic
   acid (TPX93-72-l>
2/4/6~trichloropheiiol<88-Q6-2>
2/4/7/ 8-tetrachlorodibenzo-p-
   dioxin (tcdd)
2/4-dichlorophenol<120-83-2>
2/4-dichlorophenoxyacetic acid (2/
   4-d)<94-75-7>
2/4-dimethylphenol<105-67-9>
2/4-dinitrophenol<51-28-5>
2/4-di nit rot oluene
2/4-dithiobiuret<541-53-7>
2/6-dichlorophenol<87-65-0>
2/6-dini trotoluene<606- 20-2>
2-acety lam inof lour ene
2-butanone peroxide<1338-23-4>
2-chloroethylvinyl «ther<110-75-8>
2-chloronaphthalene<91-58-7>
2-chlorophenol<95-57-8>
2-cycloh€xyl-4/6-dinitrophenol
   <131-89-5>
2-fluoroacetamide (1081)<640-19-7>
2-methyl-2-(raethylthio)propionalde
   hyde-o-(nethylcarbonyl)oxime
   <80-62
   -6>
2-jnethylaziridine<75-55-8>
2-methyllactonitrile<75-86-5>
2-naphthylaraine<91-59-8>
2-nitrophenol<88-75-5>
2-nitropropane<79-46-9>
2-picoline<109-06-8>
2-propyn-l-01
2-sec butyl-4/6-dinitrophenol
   <88-85-7>
3/3*-dichlorobenzidine<91-94-l>
3/3*-diroethoxybenzidine<119-90-4>
3/3*-diiB€thyl-l(methylthio)-2-
   butanone-0-((methylamino)
   carbonyDoxirae
3/3*-din€thylbenzidine
   <119-9 3,4-benzofluoranthene
   <205-99-2>
3/4-dihydroxy-alpha-(methylaRiino)-
   methyl benzyl alcohol
3-chloropropionitrile<542-76-7>
3-methylcholanthrene<56-49-5>
39196-18-4>
4/4'-ddd{p/p*tde)
4/4*-dde(p/p*-ddx)<72-55-9>
4/4*-ddt<50-29-3>
4/4*-nethylene-bls-(2-chloroanilin
4/6-dinltro-o-cresol<534-52-l>
4-Aminopyridine<504-24-5>
4-bromcphenyl phenyl ether
   <101-55-3>
4-chloro-o-toluidine hydrochloride
   <3165-93-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
5-(aminoniethyl)-3-isoxazolol
   <2763-96-4>
                         258

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                         Accession Ho.  5302000111
                  (cont)
5-nitro-o-toluidine<99-55-8>
6-airino-l/la,2/8/8a/8b-hexa(hydro-
   8-hydroxymethyl)8-metnoxy-5-
   methyl-caraba
If 12-diTnethylbenz( a) anthracene
   <57-97-6>
7-cj?abicycol(2.2.1)heptane-2,3-
   dicarboxylic acid<145-73-3>
Octame thyIpyrophosphoramide (OMPA)
   <152-16-9>
acei!aphthene<83-32-9>
acenaphthylene<208-96-8>
acetaldehyde<7 5-07-0 >
acetone<67-6 4-l>
acetonitrile<75-05-8>
ac e tophenone<98-86-2 >
acetyl chloride<75-36-5>
acrolein<107-02-8>
acrylamide<79-06-1>
acrylic acid<79-10-7>
acrylonitrile<107-13-l>
aldrin<309-00-2>
allyl alcohol<107-18-6>
alpha,alpha-dimethylbenzylhydro-
   peroxide<80-15-9>
alpha, alpha- dime thy 1 ph en ethyl ami ne
   <122-09-8>
alpha-chlorotoluene<100-44-7>
aluminum phosphide<20859-73-8>
amitrole<61-82-5>
arawoniura picrate<131-74-8>
aniline<62-53-3>
anthracene<120-12-7>
an timony< 7 440-36-0>
arsenic acid<1327-52-2>
arsenic pentoxide<1303-28-2>
arsenic trioxide<1327-53-3>
arsenic<7440-38-2>
asbestos<1332-21-4>
auramine<2465-27-2>
azaserine<115-02-6>
barium cyanide<542-62-l>
ben7(c)acridine<225-51-4>
benzal chloride<98-87-3>
benzene<71-43-2>
benzenesulfonyl chlorlde<98-09-9>
benzenethiol<108-98-5>
benzidine<92-87-5>
benzo(a)anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
benzo(g/h/i)perylene<191-24-2>
benzo(k)fluoranthene<207-08-9>
benzotrlchloride<98-07-7>
beryllium dust
berylliujB<7440-41-7>
bhc (lindane}-garoina<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
bis(2-chloroethoxy)raethane
bis<2-chloroethyl)ether
b is (2-chloroisopropyl) ether
   <39638-32-9>
bis( 2-ethy lhexyl)phthalate
bis(chloromethyl)ether<542-88-l>
bronoacetone<598-31-2>
bronoraethane<74-83-9>
brucine<357-57-3>
butyl benzyl phthalate<85-68-7>
cadmium<7440-43-9>
calcium chronate<13765-19-0>
calcium cyanide<592-01-8>
carbon disulf ide<75-15-0>
carbon tetrachlorlde<56-23-5>
carbonyl f luoride<353-50-4>
chloral<75-87-6>
chlorambucil<305-03-3>
chlordane<57-74-9>
chlorine<7782-50-5>
chloroacetaldehyde<107-20-0>
chlorobenzene<108-90-7>
chlorobenzilate<510-15-6>
chlorodibronooiethane<124-48-l>
chloroethane<75-00-3>
chloroethene<75-01-4>
chloroethyl vinyl ether<110-75-8>
chloroform<67-66-3>
chloronethane<74-87-3>
chloromethyl methyl ether
   < 107-30- 2>
chromium<7440-47-3>
chrysene<218-01-9>
copper cyanide<544-92-3>
copper<7440-50-8>
cresylic acid<1319-77-3>
crotonaldehyde<4170-30-3>
cumene<98-82-8>
cyanide<57-12-5>
cyanogen bromide<506-68-3>
cyanogen chloride<506-77-4>
cyanogen<460-19-5>
cyclohexane<110-82-7>
                         259

-------
                         Accession No.  5302000111
                  (cont)
cyclohexanone<108-94-l>
cyclophosphamide<50-18-0>
daunomycin<20830-81-3>
ddd(tde)
ddt
di-isopropylfluorophosphate
   <5S-91-4>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
di-n-propylnitrosamine<621-64-7>
diallate<2303-!6-4>
dibenzo(a/h)anthracene<53-70-3>
dibenzol(a/i)pyrene
dIbromochloramethane<124-48-l>
dibronioraethane<74-95-3>
dichlorobromofflethane<75-27-4>
dichlorodifluorojnethane<75-71-8>
dicblorofflethane<75-09-2>
dicJ-lorophenylarsine<696-28-6>
dieldrin<60-57-l>
diepoxybutane<1464-53-5>
diethyl phthalate<84-6€-2>
dlethylarsine
diethylstllbestrol<56-53-l>
dihydrosafrole<94-58-6>
dimethoate<60-51-5>
dimethyl phthalate<131-ll-3>
dimethyl sulfate<77-78-l>
dimethyl arain<>.<124-4Q-3>
dimethylcarbamoyl chloride
   <79-44-7>
dimcthylnitrosaHiine<62-75-9>
dipropylaroine<142-84-7>
endosulfan sulfate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endosulfan<115-29-7>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethyl acetate<141-78-6>
ethyl acrylate<140-88-5>
ethyl ether<60-29-7>
ethyl raethacrylate<97-63-2>
ethyl methanesxjlfonate<62-50-0>
ethylbenzene<100-41-4>
ethjlcyanide
ethylene bisdithlocarbamate
ethylene oxide<75-21-8>
ethylene thiourea<96-45-7>
ethylenediamine<107-15-3>
ethyleneiraine<151-56-4>
ferric cyanide
fluoranthene<206-44-0>
f luorene<86-73-7>
fluorine<7782-41-4>
fluoroacetic acid, sodium salt
fluorotrlchloromethane<75-69-4>
forfflaldehyde<50-00-0>
formic acid<64-18-6>
furan<110-00-9>
furfural<98-01-l>
glycidylaldehyde
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachloroben2ene<118-74-l>
hexachlcrobutadiene<87-€8-3>
hexachlorocyclohexane<58-89-9>
hexachlotocyclopentadiene<77-47-4>
h ex achloro e thane< 67-7 2-l>
hexachlorophene<70-30-4>
hexachloropropene<1888-71-7>
hexaethyl tetraphosphate<757-58-4>
hydrazine<302-01-2>
hydrocyanic acid<74-90-8>
hydrofluoric acid<7664-39-3>
hydrogen sulflde<7783-06-4>
hydroxydimethyl arsine oxide
   <75-60-5>
indeno (l,2x3-cd)pyrene<193-39-5>
iodOBiethane<74-88-4>
iron dextran<9004-66-4>
isobutyl alcohol<78-83-l>
isocyanic acid, methyl ester
   <624-83-9>
isophorone<78-59-l>
isosafrole<120-58-l>
kepone<143-50-0>
lasiocarpine<303-34-4>
lead acetate<301-04-2>
lead phosphate<7446-27-7>
lead subacetate<1335-32-6>
lead<7439-92-l>
maleic anhydride<108-31-6>
naleic hydrazide<123-33-l>
malononitrile<109-77-3>
mate
fflelphalan<148-82-3>
mercury fuliBinate<628-86-4>
mercury<7439-97-6>
fflethanethiol<74-93-l>
methanol<67-56-l>
methapyrilene<91-80-5>
methoiDyl<16752-77*5>
nethyacrylonitrile<126-98-7>
                         260

-------
                         Accession No.  5302000111
                  (cent)
methyl chlorocarbonate<79-22-l>
methyl ethyl Jcetone (mek)<78-93-3>
methyl ethyl ketone peroxide
   <1338-23-4>
methyl hydraziue<60-34-4>
methyl isobutyl ketone<108-10-l>
methyl methacrylate<80-62-6>
methyl parathion<293-00-0>
methylthiouracil<56-04-2>
n/n-bis(2-chloroethyl)-2-naphthyla
   Kine<494-03-l>
n-btrtyl alcohol<71-36-3>
n-methyl-n'-nitro-n-nitrosoguanldi
   ne<70-25-7>
n-nitroso-n-ethylurea<759-73-9>
n-nitroso-n-methylurea<684-93-5>
n-nitroso-n-methylurethane
   <615-53-2>
n-nitrosodi-n-butylaraine<924-16-3>
n-ritrosodi-n-propylaraine
   <621-64-7>
n-nitrosodiethanolamine<1116-54-7>
n-nitrosodiethylanjine<55-18-5>
n-ritrosodiraethylaraine<62-75-9>
n-ritrosodlphenylaraine<86-30-6>
n-nitrosoraethylvinylaiRine
n-nitrosopiperidine<100-75-4>
n-nitrosopyrrolidine<930-S5-2>
n-phenylthiourea<103-85-5>
n-propylaraine<107-10-8>
naphthalene<9l-20-3>
nickel carbonyl<12612-55-4>
nickel cyanide<557-19-7>
nickel<7440-02-0>
nicotine and salts<54-ll-5>
nitric oxide<10102-43-9>
nitrobenzene<98-9S-3>
nitrogen dioxide<10102-44-0>
nitrogen peroxide<10102-44-0>
nitrogen tetroxide<10544-72-6>
nitroglycerine<55-63-0>
o-toluidine hydrochloride
   <636-21-5>
oil and grease
oleyl alcohol condensed with 2
   noles ethylene oxide
onaphthalene
osmium tetroxide<20816-12-0>
P-chloro-ra-cresol<59-50-7>
p-cbloroaniline<106-47-8>
p-diraethylarainoa20benzene<60-ll-7>
p-nitroaniline<100-01-6>
paraldehyde<123-63-7>
parathion<56-38-2>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 {arochlor 1242)
   <53469-2l-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorobenzene<608-93-5>
pentachloroethane<76-01-7>
pentachloronltrobenzene (PCNB)
   <82-68-8>
pentachlorophenol<87-86-5>
phenacetin<62-44-2>
phenanthrene<85-01-8>
phenol<108-95-2>
phenyl dichloroarsine<696-28-6>
phenylffercury acetate<62-38-4>
phorate<298-02-2>
phosgene<75-44-5>
phosophorothioic acid/o/^o-
   dimethyl ester, o-ester with n,
   n-diraethyl
   benzene
phosphine<7803-51-2>
pho phthalic anhydride<85-44-9>
potassium cyanide<151-50-8>
potassitiu silver cyanide<506-61-6>
P ronamide<23950-58-5>
propionitrile<107-12-0>
pyrene<129-00-0>
pyridine<110-86-l>
quinones
reserpine<50-55-5>
resorcinol<108-46-3>
saccharin<81-07-2>
safrole<94-59-7>
selenioxis acid<7783-00-8>
selenium sulfide<7446>34-6>
selenium<7782-49-2>
selenourea<630-10-4>
silver cyanide<506-64-9>
silver<7440-22-4>
sodium azlde<26628«22-8>
                         261

-------
                             Accession No.   5302000111     (cont)

    sodium cyanide<143-33-9>             thiurara<137-26-8>
    streptozotocin                       titanium dioxide
    strontium sulfide<1314-96-l>         toluene diisocyanate<26471-62-5>
    strychniae<57-24-9>                  toluene<108-88-3>
    sulfonanide                          toluenediamine<25376-45-8>
    tetrachloroethene<127-18-4>          toxaphene<8001-35-2>
    tetrachloroethylene<127-18-4>        tribromoraethane<75-25-2>
    tetrachioromethane<56-23-5>          trlchloroethene<79-01-6>
    tetraethyl dithiopyrophosphate       trichloroethylene<79-01-6>
       <3689-24-5>                       trlchlorof luoroiaethane<75-69-4>
    tetraethyl lead<78-00-2>             trichloromethanethiol<75-70-7>
    tetraethyl pyrophosphate<107-49-3>   trlnitrobenzene<99-35-4>
    tetrahydofuran<109-99-9>             trls{2,3-dibroraopropyl)phosphate
    tetranitroraethane<509-14-8>             <126-72-7>
    thallic oxide<1314-32-5>             trypan blue<72-57-l>
    thallium acetate<563-68-8>           uracil nmstard<66-75-l>
    thallium carbonate<29809-42-5>       urethane<51-79-6>
    thai Hum chloride<7791-12-0>         vanadic acid/ ammonium salt
    thallium nitrate<10102-45-l>            <11115-67-6>
    thallium selenite                    vanadium pentoxlda<13l4-62-l>
    thallium sulfate<7446-18-6>          vinyl chlorlde<75-01-4>
    thallium<7440-28-0>                  xylene<1330-20-7>
    thioacetamide<62-55-5>               zinc cyanide
    thiosemicarbazide<79-19-6>           zinc phosphide<1314-84-7>
    thiourea<62-56-6>                    zinc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data base: 311-45-
    5;  630-20-6;  71-55-6;  79-34-5;    79-00-5; 75-34-3; 75-35-4;
    57-14-7; 95-94-3; 96-12-8; 106-93-41       95-50-1; 107-06-2;
    78-87-5; 563-54-2; 1615-80-1; 540-73-8; 122-66-7;       57-55-6;
    156-60-5; 541-73-1; 542-75-6; 504-60-9; 1120-71-4; 110-57-6;
    106-46-7; 123-91-1; 130-15-4; 5344-82-1; 106-89-8; 86-88-4;
    134-32-7;      541-73-1; 58-90-2; 95-95-4; 93-76-5; 93-72-1;
    88-06-2; 120-83-2;      94-75-7;  105-67*9; 51-28-5; 121-14-2;
    541-53-7; 87-65-0; 606-20-2;    1338-23-4; 110-75-8; 91-58-7;
    95-57-8; 131-89-5; 640-19-7; 80-62-6;   75-55-8; 75-86-5; 91-59-8;
    88-75-5; 79-46-9; 109-06-8; 107-19-7;      88-85-7; 91-94-1;
    119-90-4; 542-76-7; 56-49-5; 72-55-9; 50-29-3;      101-14-4;
    534-52-1; 504-24-5; 101-55-3; 3165-93-3; 7005-72-3;    100-02-7;
    2763-96-4; 99-55-8; 57-97-6; 145-73-3;  152-16-9; 83-32-9;
    208-96-8; 75-07-0; 67-64-1; 75-05-8; 98-86-2; 75-36-5; 107-02-8;
    79-06-1; 79-10-7; 107-13-1; 309-00-2; 107-18-6; 80-15-9; 122-09-8;
    100-44-7; 20859-73-8;  61-82-5; 131-74-8; 62-53-3; 120-12-7;
    7440-36-0; 1327-52-2;  1303-28-2;  1327-53-3; 7440-38-2; 1332-21-4;
    246E-27-2; 115-02-6; 542-62-1; 225-51-4; 98-87-3; 71-43-2; 98-09-9;
    108-98-5; 92-87-5; 56-55-3; 50-32-8; 191-24-2; 207-08-9; 98-07-7;
    7440-41-7; 58-89-9; 319-84-6; 319-85-7; 319-B6-8; 111-91-1;
    111-44-4;      39638-32-9; 117-81-7; 542-88-1; 598-31-2; 74-83-9;
    357-57-3; 85-68-7;      7440-43-9; 13765-19-0; 592-01-8; 75-15-0;
    56-23-5; 353-50-4; 75-87-6;      305-03-3; 57-74-9; 7782-50-5;
    107-20-0; 108-90-7; 510-15-6; 124-48-1;      75-00-3; 75-01-4;
    110-75-8; 67-66-3; 74-87-3; 107-30-2; 7440-47-3;    218-01-9;
    544-92-3; 7440-50-8; 1319-77-3; 4170-30-3; 98-82-8;    57-12-5;


                             262

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                             Accession Ho.   5302000111     (cont)

    506-68-3;  506-77-4?  460-19-5;  110-82-7; 108-94-1; 50-18-0;
    20830-81-3; 55-91-4; 84-74-2;  117-84-0; 621-64-7; 2303-16-4;
    53-70-3;       189-55-9; 124-48-1; 74-95-3; 75-27-4; 75-71-8;
    75-09-2;  696-28-6;     60-57-1; 1464-53-5; 84-66-2; 56-53-1;
    94-58-6;  60-51-5?  131-11-3;     77-78-1; 124-40-3; 79-44-7;
    62-75-9;  142-84-7; 1031-07-8;  959-98-8;   33213-65-9; 115-29-7;
    7421-93-4; 72-20-8;  141-78-6;  140-88-5;    60-29-7; 97-63-2;
    62-50-0;  100-41-4; 107-12-0; 75-21-8; 96-45-7;      107-15-3;
    1S1-56-4?  206-44-0;  86-73-7;  7782-41-4; 75-69-4; 50-00-0;
    64-18-6;  110-00-9; 98-01-1; 1024-57-3;  76-44-8; 118-74-1; 87-68-3j
    58-89-9;  77-47-4;  67-72-1;  70-30-4; 1888-71-7; 757-58-4; 302-01-2;
    74-90-8;  7664-39-3;  7783-06-4; 75-60-5; 193-39-5; 74-88-4;
    9004-66-4;      78-83-1; 624-83-9; 78-59-1; 120-58-1; 143-50-0;
    303-34-4;  301-04-2;    7446-27-7; 1335-32-6; 7439-92-1; 108-31-6;
    123-33-1;  109-77-3?    148-82-3; 628-86-4; 7439-97-6; 74-93-1;
    67-56-1;  91-80-5;  16752-77-5;       126-98-7; 79-22-1; 78-93-3;
    1338-23-4; 60-34-4;  108-10-1;  80-62-6;     298-00-0; 56-04-2;
    494-03-1;  71-36-3; 70-25-7; 759-73-9; 684-93-5;    615-53-2;
    924-16-3;  621-64-7;  1116-54-7; 55-18-5; 62-75-9; 86-30-6;
    100-75-4;  930-55-2;  103-85-5;  107-10-8; 91-20-3; 12612-55-4;
    557-19-7;  7440-02-0? 54-11-5;  10102-43-9; 98-95-3; 10102-44-0;
    10102-44-0; 10544-72-6; 55-63-0; 636-21-5; 20816-12-0; 59-50-7;
    106-47-8;  60-11-7; 100-01-6;  123-63-7;  56-38-2; 12674-11-2;
    11104-28-2; 11141-16-5; 53469-21-9; 12672-29-6; 11097-69-1;
    11096-82-5; 608-93-5; 76-01-7; 82-68-8; 87-86-5; 62-44-2; 85-01-8;
    108-95-2;  696-28-6;  62-38-4;  298-02-2;  75-44-5; 7803-51-2; 85-44-9;
    151-50-8;  506-61-6;  23950-58-5; 107-12-0? 129-00-0; 110-86-1;
    50-55-5;  108-46-3? 81-07-2? 94-59-7; 7783-00-8; 7446-34-6;
    7782-49-2;      630-10-4; 506-64-9; 7440-22-4; 26628-22-8;
    143-33-9;  1314-96-1?       57-24-9; 127-18-4; 127-18-4; 56-23-5;
    3689-24-5; 78-00-2;  107-49-3;    109-99-9; 509-14-8; 1314-32-5;
    563-68-8;  29809-42-5; 7791-12-0;       10102-45-1; 7446-18-6;
    744C-28-0; 62-55-5;  79-19-6;  62-56-6;     137-26-8; 26471-62-5;
    108-88-3;  25376-45-8; 8001-35-2; 75-25-2;       79-01-6; 79-01-6;
    75-69-4;  75-70-7;  99-35-4;  126-72-7; 72-57-1;       66-75-1;
    51-79-6;  11115-67-6? 1314-62-1; 75-01-4; 1330-20-7;     1314-84-7;
    7440-66-6
(CHM)  Contact naroe(s):  Stigall,E.
(ROR)  Responsible Organization:  Office of  Water.Office of Mater
    Regulations and Standards.Effluent Guidelines Divlsio
                             263

-------
                             Accession No.   5302000112

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Paint and Ink Analytical  Data
(ACR)  Acronym of Data Base  or Model;  None
(MED)  Media/Subject of Data Base or Model;  Effluents paint  and ink
    plants treated, untreated, sludges, and  rau    water
(ABS)  Abstract/Overview of  Data Base  or Model; 28  paint  and ink  plants
    were sampled for priority pollutants. Influent to  treatment,
    effluent, and sludges were included. From one  to seven  batches  at
    each plant were sampled.
(CTC)  CONTACTS* Subject matter B.  B«audet (904)372-3318;
    Computer-related B. Beaudet (904)372-3318? EPA  Office  R.  Dellinger
    (202)382-7137
(DTP)  Type of data collection or monitoring:  Point source data
    collection paint and ink plants treated, untreated,  sludges, rau
    water.
(STA)  Data Base status: Update terminated
(GRP)  Groups of substances  represented in Data Base: 129  307 CWA
(NPP)  Non-pollutant parameters included in  the data base: Location
    ;Sampling date ;Teroperature
(DS)  Time period covered by data base: 01-01-77 TO 09-30-80
(TRM)  Termination of data collection: Occurred 09/30/80
(FRQ)  Frequency of data collection or sampling: Other  GRAB  Samples
(NOB)  Number of observations in data  base:  25000.(Actual)
(NEI)  Estimated annual increase of observations in data base: (N/A.)
(INF)  Data base includes: Rau data/observations
(NTS)  Total number of stations or sources covered  in data base:  28.
(NCS)  No. stations or sources currently originating/contributing 'data:
    0.
(NOF)  Number of facilities  covered in data  base (source monitoring): 28
    •
(GEO)  Geographic coverage of data base: National
(LOG)  Data elements Identifying location of station or source include:
    State ;City /Project identifier
(FAC)  Data elements identifying facility include:  Plant  facility name
    ;Plsnt location
(CDS)  Pollutant identification data are: Other coding  scheme
(LIH)  Limitation/variation  in data of which user should be  aware: Analy
    tical data is coded; non-specific  time intervals
(DPR)  Data collect./anal, procedures  conform to ORD guidelines:  Samplln
    g plan documented ^Collection method documented ^Analysis method
    document QA procedures documented
(AML)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit  is satisfactory.
(PRE)  Precision: Precision  and accuracy estimates  exist  but are  not
    included in data base.
(EOT)  Editting: Edit procedures used  and documented.
(CBY)  Data collected by: Regional office Region 4, 5,  6,  7  /Contractor
    lab R.A* Richardson ;    Contractor Burns and Roe /Richardson;
    Environmental Science and Engr.
(ABY)  Data analyzed by: Regional office Surveillance and  Analysis
    Labs:  Regions 4, 5, 6,  7
    Contractor lab many IFB  Labs


                             264

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                             Accession No.   5302000112
                  (cent)
    Contractor Burns and Koe
    Richardson^    Environmental Science and Engr.
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Development of regulations
    or standards
(AUT)  Authorization for data collection; Statutory authorization is P
    L 92-500, Section 308 (Clean Mater Act-CWA).
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Publications
    EPA: 440/1-79/090-b Ink Development Document
    Publications SPA: 440/1-79/049-b Paint  Development Document
(NUS)  Number of regular users of data base: 5
(USR)  Current regular users of data base:  EPA headquarter offices
    Sffluent Guidelines Division
(CNF)  Confidentiality of data and limits on access: Limits on access
    within EPA and outside agency for some   data.
(DLC)  Primary physical location of data: Contractor
(DST)  Form of data storage: Magnetic disc
(CAC)  Type of data access: Commercial software RAM1S
(CBG)  Direct charge for non-EPA use: no outside use/access permitted
(CMP)  Completion of form:
    Paul Storch
    OFC: Burns and Roe
    AD:  650 Winters Ave, Paramus, N,J. 07652
    Pfl:  (201)262-8800
(DF)  Date of form completion: 02-08-83
(NMAT)  Number of substances represented in data base: 136
(NCAS)  Number of CAS registry numbers in data base; 121
(MAT)  Substances represented in data base:
    Ifl,l-trichloroethane<71-55-
       6>
    1, 1/2,2,-tetrachloroethane
       <79-34-5>
    l,l/2-trichloroethane<79-00-5>
    l,l-dichloroethane<75-34-3>
    l,l-dichloro9thylene<75-35-4>
    1/2,4,-trichlorobenzene<120-82-l>
    If2-dichlorobenzene<95-50-l>
    l/2-dichloroethane<107-06-2>
    \f 2-dichloropropane<78-87-5>
    l,2-dichloroprQpylene<563-54-2>
    l,2-diphenylhydrazine<122-66-7>
    Ix2-trans-dichloroethylene    i
       <156-60-5>
    l4r3-dichlorobenzene<541-73-l>
    l,4-dichlorobenzene
    2,4^6-trichlorophenol<88-06-2>
    2/4,7,8-tetrachlorodibenzo-p-
       dioxin (tcdd)
    1f4-dichlorophenol<120-83-2>
    2f4-dimethylphenoi<105-67-9>
2,4-dinitrophenol<51-28-5>
2,4-dinitrotoluene<121-14-2>
2,6-dinitrotoluene<606-20-2>
2-chloroethyl vinyl ether<110-75-8>
2-chloronaphthalene<91-58-7>
2-chlorophenol<95-57-8>
2-nitrophenol<88-75-5>
3,3--dichlorobenzidine<91-94-l>
3,4-benzcf luoranthene<205-99-2>
4, 4 '-dde (p,p '-ddx X72-55- 9>
4,4'-ddt<50-29-3>
4,6-dinitro-o-cresol<534-52-l>
4-bromophenyl phenyl ether
   <101-55-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
acenaphthene<83-32-9>
acenaphthylene<208-96-8>
acrolein<107-02-8>
acrylonitrile<107-13-l>
                             265

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                         Accession No.  5302000112
                  (cont)
aldrin<309-00-2>
ammonia<7664-41-7>
anthracene<120-12-7>
antimony<7440-36-0>
arsenic<7440-38-2>
benzene<71-43-2>
benzidine<92-87-5>
benzo(a)anthracene<56-55-3>
benzo(a)pyrene<50~32-8>
benzo(g,rh./i)perylene<191-24-2>
benzo(k)fluoranthene< 207-0 8-9>
berylliuni<7440-41-7>
bhc (lindane)-gamiBa<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
biological oxygen demand (BOD)
bis (2-chloroethoxy)me thane
bis(2-ehloroethyl)ether
bis (2-chloroisopropyl) ether
   <39638-32-9>
bis (2-ethylhexyDphtha late
   
bis(chloromethyl)ether<542-88-l>
bromomethane<74-83-9>
butyl benzyl phthalate<85-68-7>
cadEium<7440-43-9>
carbon tetrachloride<56-23-5>
chemical oxygen demand (COD)
chlordane<57-74-9>
chlorobenzene< 108-90 -7>
chlorodibromomethane<124-48-l>
chloroethane<75-00-3>
chloroform<67-66-3>
chlcromethane<74-a7-3>
chromium<7440-47-3>
chrysene<218-01-9>
copper<7440-50-8>
cyanide<57-12-5>
di-n-butyl phthalate<84-74-2>
di-r-octyl phthalate<117-84-0>
d ibenzo ( a/ h) anthracene<53-70-3>
dichlorobromoinethane<75-27-4>
dichilorodifluoromethane<75-71-8>
dlcbloromethane<7S-09-2>
dleldriii<60-57-l>
diethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
endosulfan sulfate<1031*07-8>
endosulf an-a lpha<959-98-8>
endosulfan-beta<33213-65-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylbenzene<100-41-4>
fluoranthene<206-44-0>
fluorene<86-73-7>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
hex achlorobutadiene<87- 68-3 >
hexachlcrocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
indeno (l,2,3-cd)pyrene<193-39-5>
isophorone<78-59-l>
lead<7439-92-l>
nercury<7439-97-6>
n-nitroscdi-n-propylamine
   <621-64-7>
n-nitroso dime thy lantine<62-75-9>
n-nitroscdiphenylamine<86-30-6>
naphthalene<91-20-3>
nickel<7440-02-0>
nitrobenzene<98-95-3>
oil and crease
p-chloro-m-cresol<59-50-7>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorophenol<87-86-5>
Ph
phenanthrene<85-01-8>
phenol<108-95-2>
pyrene< 129-00- 0>
selenium<7782-49-2>
silver<7440-22-4>
tetrachloroethylene<127-18-4>
thalliuiB<7440-28-0>
toluene<108-88-3>
total organic carbon (TOO
total phenol
total solids
toxaphene<8001-35-2>
                         266

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                             Accession No.  5302000112     (cont)

    tribromomethane<75-25-2>             vinyl chloride<75-01-4>
    trichloroethylene<79-01-6>           zinc<7440-66-6>
    trichlorofluoromethane<75-69-4>
(CAS)  CAS registry numbers of substances Included In data base: 71-55-6
    ; 79-34-5; 79-00-5; 75-34-3; 75-35-4;       120-82-1; 95-50-1;
    107-06-2;  78-87-5; 563-54-2; 122-66-7; 156-60-5;   541-73-1;
    106-46-7;  88-06-2; 120-83-2; 105-67-9; 51-28-5; 121-14-2;
    606-20-2;  110-75-8; 91-58-7; 95-57-8; 88-75-5; 91-94-1; 205-99-2;
    72-55-9;  50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7; 83-32-9;
    208-96-8;  107-02-8; 107-13-1; 309-00-2; 7664-41-7; 120-12-7;
    7440-36-0; 7440-38-2; 71-43-2; 92-87-5; 56-55-3; 50-32-8; 191-24-2;
    207-08-9;  7440-41-7; 58-89-9; 319-84-6; 319-85-7; 319-86-8;
    111-91-1;       111-44-4; 39638-32-9; 117-81-7; 542-88-1; 74-83-9;
    85-68-7;       7440-43-9; 56-23-5; 57-74-9; 108-90-7; 124-48-1;
    75-00-3;  67-66-3;    74-87-3; 7440-47-3; 218-01-9; 7440-50-8;
    57-12-5;  84-74-2? 117-84-0;       53-70-3; 75-27-4; 75-71-8;
    75-09-2;  60-57-1; 84-66-2; 131-11-3;       1031-07-8; 959-98-8;
    33213-65-9; 7421-93-4; 72-20-8; 100-41-4;   206-44-0; 86-73-7;
    1024-57-3; 76-44-8; 118-74-1; 87-68-3; 77-47-4;    67-72-1;
    193-39-5;  78-59-1; 7439-92-1; 7439-97-6; 621-64-7; 62-75-9;
    86-30-6;  91-20-3; 7440-02-0; 98-95-3; 59-50-7; 12674-11-2;
    11104-28-2; 11141-16-5; 53469-21-9; 12672-29-6; 11097-69-1;
    11096-82-5; 87-86-5; 85-01-8; 108-95-2; 129-00-0; 7782-49-2;
    7440-22-4; 127-18-4; 7440-28-0; 108-88-3; 8001-35-2; 75-25-2;
    79-01-6;  75-69-4; 75-01-4; 7440-66-6
(CUM)  Contact narae(s): Dellinger,R.  ;  Beaudet,S.
(ROR)  Responsible Organization: Office of Water.Office of Water
    Regulations and Standards*Effluent Guidelines Divisio
                             267

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                             Accession No.   5302000113


-------
                             Accession  No.   5302000113
(cont)
(EOT)   Editting:  Edit procedures  used  but undocumented.
(CBY)   Data collected by:  State agency State  of  New  Mexico Health  &
    Environment  Department /     Regional office EPA Region 10
    Surveillance  and Analysis  Division ;   Regional office EPA Region
    7  Surveillance and Analysis   Division ;    Regional  office Region 4
    Surveillance  and Analysis  Division >   Regional office EPA 2
    Surveillance  and Analysis  Division ^Regional office  EPA Region 6
    Surveillance  Division  ^Regional office EPA Region III/ Surveillance
    and Analysis    Div/ Annapolis Field Office ;EPA  lab  Robert S.  Kerr
    Environmental Research Laboratory/   Ada Oklahoma ^Contractor lab
    Calspan ^Contractor lab Gilbert Associates ;  Contractor  lab NUS
    Corp. ^Contractor lab  E.H. Richardson & Ass. ;     Contractor  lab
    Hittman Associates ^Contractor lab Radian Corp.  ;  Contractor lab
    Versar ;Contractor lab Burns  & Roe ^Contractor  lab Ryckrnan/
    Edgerly/ Tomlinson and  Associates Contractor  lab  Tennessee
    ValleyAuthority } Contractor  lab Gulf Southwest  Research  Institute
    ;      Contractor lab Western  Nuclear Incorporated ^Contractor  lab
    Jacobs Engineering Co. ; IFB  Contractors
(ABY)   Data analyzed by: Self  reporting confidential
    State agency  California Analytical Lab
    Regional office EPA Region 8  Lab Surveillance and Analysis EPA
    Headquarters  Division  Contractional
    Regional office EPA Region 10 Lab  Surveillance  and Analysis
    Division
    Regional office EPA Region 7  Lab Surveillance and Analysis Division
    Regional office EPA Region 2  Lab Surveillance and Analysis Division
    Regional office EPA Region 6  Lab Surveillance and Analysis Division
    Regional office EPA Region 5  Lab Surveillance and Analysis Division
    Eastern District Office Lab
    Regional office Annapolis  Field Office Lab Wheeling  Field Office
    Lab
    Regional office EPA Region 3  Surveillance and Analysis     Division
    Regional office EPA Region 4  Lab Surveillance and Analysis Division
    EPA lab EPA Pesticides Monitoring  Lab
    EPA lab EPA Eastern Environmental  Radiation  Lab
    EPA lab Robert S. Kerr Environmental Research Laboratory  ADA/
    Oklahoma.
    Contractor lab Radian  Corporation
    Contractor lab West Coast  Technical Services
    Contractor lab Carborundum
    Contractor lab Energy  Resources Company
    Contractor lab Systems Science and Software
    Contractor lab Foremost Research
    Contractor lab Analytical  Research Lab
    Contractor lab Gulf Southwest Research Institute
    Contractor lab Versar
    Contractor lab Calspan
    Contractor lab Teledyne-Isotopes/  Inc.
    Contractor lab Foremost Research Center
    Contractor lab NUS
    Contractor lab E.H. Richardson & Ass.
    Contractor lab Ryckman/ Edgerly/ Toallnson and  Associates/ Inc.
                             269

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                             Accession No.   5302000113
(cont)
    Contractor lab Midwest Research Institute
    Contractor lab West Coast Technical Services
    Contractor lab Bituminous Coal Research Institute
    Contractor lab Burns and Roe Industrial Services Corp.
    Contractor lab Tennessee Valley Authority
    Contractor lab Raltech Scientific Services
    Contractor lab Hydrotechnic
    Contractor lab Envirodyne
    Contractor lab Mestern Nuclear Incorporated
    Contractor lab Caraps Dresser, + McKee^  Inc.
    Contractor lab Chemical & Geological Laboratory
    Contractor lab Hazen Research Inc.
    Contractor lab Eberline Lab
    Contractor lab Ford Chemical
    Contractor lab Silver Valley Lab
    Contractor lab Monsanto
    Contractor lab Spectrix
    Contractor lab ACCU-Labs Research Inc.
    Contractor lab Batel Labs
    Contractor lab HcCrone Associates
    Contractor lab ASARCO
    Contractor lab Thome Ecological Institute
    Contractor lab Midwest Solvents
    Contractor lab EMS Labs
    Contractor lab VARC Labs
    Other federal agency Food and Drug  Administration  Lab
    Joint Water Pollution Control Plant Water Quality  Lab
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Development of regulations
    or standards
(PR2)  Secondary purpose of data collection;  Technology development
(AUT)  Authorization for data collection: Statutory authorization  is P
    L 92-500 as amended. Section 301(d) (Clean     Water Act-CWA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Printouts on
    request
    Machine-readable raw data
    On-line computer
ONUS)  Number of regular users of data  base:  7
(USR)  Current regular users of data base:  EPA headquarter  offices
    Effluent Guidelines Division
(CNF)  Confidentiality of data and limits on access: Limits on outside
    access for some data
(DLC)  Primary physical location of data: Contractor & EPA  Lab
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: Itel (contractor) on  IBM 370/158 hardware
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file  up-date: Weekly
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    IFB Organics Data Base D 5302 0001  03;   Integrated Hater Treatment
    Data Base (under development-Effluent Guidelines Division)
                             270

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                             Accession No.  5302000113
                  (cent)
(CMP)  Completion of form:
    William A. Telliard
    OFC: EPA HH-552#    AD: 401 M St. S.W., Washington/ D.C. 20460$
    PH: (202) 382-7131
(DF)  Date of form completion: 02-01-83
(NMAT)  Number of substances represented in data base: 179
(NCAS)  Number of CAS registry numbers in data base: 164
(HAT)  Substances represented in data base:
    1/1, l-trichloroethane< 71-55-
       6>
    If If 2, 2, -tetrachloroethane
       <79-34-5>
    l,l/2-trichloroethane<79-00-5>
    If l-dichloroethane<75-34-3>
    l,l-dichloroethylene<75-35-4>
    l/2,4,-trlchlorobenzene<120-82-l>
    1/2/4/5-tetrachlorobenzene
       <95-94-3>
    l,2-dichlorobenzene<95-50-l>
    If 2-dichloroethane<107-06-2>
    l,2-dichloropropane<78-87-5>
    If 2-diphenylhydrazine< 122-66-7>
    1/2-trans-dichloroethylene
       <156-60-5>
    l,3-dichlorobenzene<541-73-l>
    If 3-dichloropropene<542-75-6>
    If 4-dichlorobenzene<106-46-7>
    2, 4,6- ti ichl or ophenoK 88-0 6-2>
    2f 4,7/ 8- te tr achlorodibenzo-p-
       cioxin (tcdd)
    2f 4-dichlorophenol<120-83-2>
    2f 4-diraethylphenol<105-67-9>
    2f 4-dinitrophenol< 51-28-5>
    2f 4-dinitrotoluene<121-14-2>
    2,6-dinitrotoluene<606-20-2>
    2-chloroethylvinyl ether
    2- chloronaphthalene<9l-58-7>
    2-chlorophenol<95-57-8>
    2-nitrophenol<88-75-5>
    3jf3--dichlorobenzidine<91-94-l>
    3, 4-benzof luoranthene<205-99-2>
    4, 4"-dde(p,p--ddx)<72-55-9>
    4,4*-ddt<50-29-3>
    4, 6-dinitro-o-cresol<534-52-l>
    4-bromophenyl phenyl ether
       <101-55-3>
    4-chlorophenyl phenyl ether
       <7005-72-3>
    4-nitrophenol<100-02-7>
    acenaphthene<83-32-9>
    acenaphthylene<208-96-8>
acetone<67-64-l>
acrolein<107-02-8>
acrylonitrile<107-13-l>
aldrin<309-00-2>
alurainum<7429-90-5>
amioonia<7664-41-7>
antiinony<7440-36-0>
arsenic<7440-38-2>
asbestos<1332-21-4>
bariura<7440-39-3>
benzene<71-43-2>
benzidine<92-87-5>
benzo(a)anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
benzo(g,h,i)perylene<191-24-2>
benzo(k)fluoranthene<207-08-9>
beryl lium<7440-41-7>
bhc (lindane)-gamraa<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc -del ta< 319-86- 8>
biphenyl<92-52-4>
b is ( 2-chloroe thoxy ) me thane
   <111-91-1>
bis(2-chloroethyl)ether
bis(2-chloroisopropyl)ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis(chloromethyl)ether<542-88-l>
bismuth compounds<7440-69-9>
boron compounds<7440-42-8>
bromine<7726-95-6>
bromoniethane<74-83-9>
butyl benzyl phthalate<85-68-7>
cadm ium<7 440- 43-9>
calcium cyanide<592-01-8>
carbon tetrachloride<56-23-5>
chlordane<57-74-9>
chlorine<7782-50-5>
chlorobenzene<108-90-7>
chlorodlbrononethane<124-48-l>
chloroethane<75-00-3>
chloroform<67-66-3>
                             271

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                         Accession No.  5302000113
                  (cent)
chlcromethane<74-87-3>
chromium<7440-47-3>
chrysene<218-01-9>
cis-l,2-dichloroethylene<156-59-2>
cobslt<7440-48-4>
copper<7440-50-8>
cumene<98-82-8>
cyanlde<57-12-5>
di-n-octyl phthalate<117-84-0>
diben2o(a,h)anthracene<53-70-3>
dibenzofuran<132-64-9>
dichlorobroreomethane<75-27-4>
dichlorodifluoro»ethane<75-71-8>
dlchloromethane<75-09-2>
dieldrin<60-57-l>
diethyl phthalate<84-66-2>
diethylamine<109-89-7>
dimethyl phthalate<131-ll-3>
dimethylainine<124-40-3>
dipbenyl ether<101-84-8>
dissolved oxygen
dissolved solids
endosulfan sulfate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endosulfan
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylbenzene<100-41-4>
fecal coliforiB
fluoranthene<206-44-0>
fluorene<86-73-7>
fluorides
fluorine<7782-41-4>
gross alpha
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
hexschlorobutadiene<87-68-3>
hexachlorocyclopentadlene<77-47-4>
hexachloroethane<67-72-l>
indeno (1,2, 3-cd)pyrene<193-39-5>
lror<7439-89-6>
isophorone<78-59-l>
lead<7439-92-l>
lithium and coropounds<7439-93-2>
manganese<7439-96-5>
mercury<7439-97-6>
methyl ethyl ketone (aek)<78-93-3>
molybdenum and compounds
   <7439-98-7>
n-alkanes clO-c30
n-nitrosodi-n-propylanine
   <621-64-7>
n-nitrosodiBethylamine<62-75-9>
n-nitroscdiphenylamine<86-30-6>
naphthalene<91-20-3>
nickel<7440-02-0>
nitrate<14797-55-8>
nitrates/nitrites
nitrobenzene<98-95-3>
nitrogen<7727-37-9>
oil and grease
p-chloro-m-cresol<59-50-7>
PH            ^
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arocfclor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorobenzene<608-93-5>
pentachlorophenol<87-86-5>
phenanthrene<85-01-8>
phenol<108-95-2>
phosphorus<7723-14-0>
potassiun<7440-09-7>
pyrene<129-00-0>
radium 226<13982-63-3>
radium 228<15262-20-1>
selenium<7782-49-2>
silver<7440-22-4>
sodiura<7440-23-5>
strontium 90<10098-97-2>
sulfates
sulfides
suspended solids
tetrachloroethylene<127-18-4>
thalliura<7440-28-0>
t ltanium<7440-32-6>
toluene<108-88-3>
toxaphene<8001-35-2>
tribro«OBethane<75-25-2>
trlchloroethylene<79-01-6>
trichlorof luororaethane<75-69-4>
turbidity
                         272

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                             Accession No.   5302000113     (cont)

    uranium 238<744Q-61-1>               vanadiun»<7440-62-2>
    urarium<7440-61-l>                   vinyl chloride<75-01-4>
    vanadium pentoxide<1314-62-l>        zinc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data base: 71-55-6
    ; 79-34-5;  79-00-5; 75-34-3; 75-35-4;       120-82-1; 95-94-3;
    95-50-1; 107-06-2; 78-87-5; 122-66-7; 156-60-5;    541-73-1;
    542-75-6; 106-46-7; 88-06-2; 120-83-2;  105-67-9; 51-28-5;
    121-14-2; 606-20-2; 110-75-8; 91-58-7?  95-57-8; 88-75-5; 91-94-1;
    205-99-2; 72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3;
    100-02-7;       83-32-9; 208-96-8; 67-64-1; 107-02-8; 107-13-1;
    309-00-2; 7429-90-5;       7664-41-7; 7440-36-0; 7440-38-2;
    1332-21-4;  7440-39-3; 71-43-2;       92-87-5; 56-55-3; 50-32-8;
    191-24-2; 207-08-9; 7440-41-7; 58-89-9;    319-84-6; 319-85-7;
    319-86-8; 92-52-4; 111-91-1; 111-44-4;        39638-32-9; 117-81-7;
    542-88-1; 7440-69-9; 7440-42-8; 7726-95-6;      74-83-9; 85-68-7;
    7440-43-9;  592-01-8; 56-23-5; 57-74-9;  7782-50-5;   108-90-7;
    124-48-1; 75-00-3; 67-66-3; 74-87-3; 7440-47-3; 218-01-9;
    156-59-2; 7440-48-4; 7440-50-8; 98-82-8; 57-12-5; 117-84-0;
    53-70-3;       132-64-9; 75-27-4; 75-71-8; 75-09-2; 60-57-1;
    84-66-2; 109-89-7;      131-11-3; 124-40-3; 101-84-8; 1031-07-8;
    959-98-8; 33213-65-9;   115-29-7; 7421-93-4; 72-20-8; 100-41-4;
    206-44-0; 86-73-7; 7782-41-4;      1024-57^3; 76-44-8; 118-74-1;
    87-68-3; 77-47-4; 67-72-1; 193-39-5;    7439-89-6; 78-59-1;
    7439-92-1;  7439-93-2; 7439-96-5; 7439-97-6;       78-93-3;
    7439-98-7;  621-64-7; 62-75-9; 86-30-6;  91-20-3; 7440-02-0;
    147S7-55-8; 98-95-3; 7727-37-9; 59-50-7; 12674-11-2; 11104-28-2;
    11141-16-5; 53469-21-9; 12672-29-6; 11097-69-1; 11096-82-5;
    608-93-5;      87-86-5; 85-01-8; 108-95-2; 7723-14-0; 7440-09-7;
    129-00-0;      13982-63-3; 15262-20-1;  7782-49-2; 7440-22-4;
    7440-23-5;  10098-97-2;       127-18-4;  7440-28-0; 7440-32-6;
    108-88-3; 8001-35-2; 75-25-2;    79-01-6; 75-69-4; 7440-61-1;
    7440-61-1;  1314-62-1; 7440-62-2;    75-01-4; 7440-66-6
(CUM)  Contact  name(s); Telliard,«.A.   ;   Ruddy,D.
(ROR)  Responsible organization: Office of  Water.Office of Hater
    Regulations and Standards.Effluent Guidelines Divisio
                             273

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                             Accession No.   5302000114

CDQ)  Date of Questionaire; 12-02-82
(NAM)  Kame of Data Base of Model:  Steam Electric 1976 308
    Questionnaire Data Base
(ACR)  Acronym of Data Base or Model:  Rone
(MED)  Media/Subject of Data Base or Model:  Other No specific media:  No
    sampling data is provided.  Data is from   a questionnaire relating
    to wastewater aspects of steam electric  power     plants.
(ABS)  Abstract/Overview of Data Base or Model: Data from 814
    questionnaires completed by    Steam Electric Power Plants relating
    to waste Mater     production and treatment.  Contains information
    regarding cooling water systems/ ash handling systems/ treatment
    systems and other miscellaneous waste   streams, as well  as basic
    operating information for    steam electric power plants*
(CTC)  CONTACTS: Subject matter EPA Office Dennis Ruddy  (202)382-7131
(DTP)  Type of data collection or monitoring:  Point source data
    collection steam electric power industry
(STA)  Data Base status: Update terminated
(KPP)  Kon-pollutant parameters included in  the data base: Chemical
    data ^Disposal ;Flow rates ^Physical data production levels ;
    Treatment devices
(DS)  Time period covered by data base: 01-01-75 TO 01-30-76
(TRM)  Termination of data collection: Occurred 01/30/77
(FRQ)  Frequency of data collection or sampling: one time only
(NOB)  lumber of observations in data base:  18191.(Actual)
(NED  Estimated annual Increase of observations in data base: 1200
(INF)  Data base includes: all completed responses to questionnaires
(NTS)  Total number of stations or sources covered in data base: 812.
(NCS)  So. stations or sources currently originating/contributing data:
    0.
(NQF)  lumber of facilities covered in data  base (source monitoring): 81
    2.
(GEO)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or source include:
    State
(FAC)  Data elements identifying facility include: Plant location
    ^Program identifier
(LlM)  Limitation/variation in data of which user should be aware:  There
    is no pollutant data.  This data  base contains mostly physical and
    operational data     concerning waste production/treatment.
(ANL)  Lab analysis based on EPA-approved or accepted methods? NO
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision and accuracy estimates are not available
(EOT)  Editting: No known edit procedures exist.
(CBY)  Data collected by: Questionnaires completed by utilities and
    collected by  Hittman Associates/  Inc.
(ABY)  Data analyzed fay: Contractor Hittman  Associates and Radian
    Corporation
(PR1)  Primary purpose of data collection: Development of regulations
    or standards
(AUT)  Authorization for data collection: Statutory authorization is  P
    L 9S-217, Section 308 (Clean Mater Act-CWA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:


                             274

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                             Accession No.   5302000114     (cent)

    QQ
(REP)  Form of available reports and outputs of data base:  Unpublished
    reports Development Documents for Steam Electric     Point  Source
    Category
    printout-Effluent Guidelines Division Public Record for Steam
    Electric Regulations
(NUS)  Number of regular users of data base: 1 office
(USR)  Current regular users of data base:  EPA headquarter  offices
    Effluent Guidelines Division/ Energy Mining   Branch
(CNF)  Confidentiality of data and Units on access: No limits  on
    access to data
(DLC)  Primary physical location of data: Contractor
(DST)  Form of data storage: Magnetic tape
(OAC)  type of data access: Radian Corporation's IBM equipment
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file up-date:  Other all responses
    have been collected
(RDB)  Non-EPA data bases used in conjunction vith this data base:  1976
    Federal Power Commission (FPC) Data Base for Steam Electric
    Utilities
(CMP)  Completion of form:
    John J. Sheehan
    OFC: Radian Corporation
    AD: 7927 Jones Br. Drive McLean, VA 22102
    PH: (703)734-2600
(DF)  Date of form completion: 02-08-83
(CNM)  Contact name(s): Sheehan/J.; Ruddy/D.
(RQR)  Responsible Organization: Office of Water.Office of  Mater
    Regulations and Standards.Effluent Guidelines Divisio
                             275

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                             Accession No.   5302000115

(DQ)  Date of Questlonaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Food Industry  Group

-------
                             Accession  Mo.   5302000115      (cont)

    g plan documented yCollection method documented ;Analysis  method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? NO
(ADD)  Lab Audit:  Lab audit is satisfactory for for all toxics; some
    industry data  included.
(PRS)  Precision:  Precision and accuracy estimates exist but are not
    Included In data base    Edit logical checks for internal
    consistency.
(CBY)  Data collected by: Self reporting Internal Industry  labs
    ;Regional office Regional Surveillance and Contractor lab  Various
    labs ;Contractor E.C. Jordan Company ;    EPA demonstration
    projects
(A8Y)  Data analyzed by:  Contractor E.C. Jordan Company
    EPA headquarters Effluent Guidelines Division
(IDL)  Laboratory  identification: YES
(PR1)  Primary purpose of data collection: Development  of regulations
    or standards
(PR2)  Secondary purpose  of data collection: Anticipatory/research
(AUT)  Authorization for  data collection: Statutory authorization  is P
    L 92-500 as amended,  Section 308 (Clean Water  Act-CWA)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base:  Printouts on
    request
    Machine-readable ran  data
(NUS)  Number of regular  users of data  base: 45
(USR3  Current regular users of data base: EPA headquarter  offices
    Effluent Guidelines Division
(CNF)  Confidentiality of data and limits on access: Limits on outside
    access for some data
(DLc)  Primary physical location of data: Contractor
(DST)  Form of data storage: Magnetic disc jOriglnal form (hardcopy/
    readings)
(DAC)  type of data access: E.C. Jordan Company/ Inc. IBM System 34
(CHG)  Direct charge for  non-SPA use: yes
(UPDT)  Frequency  of data base master file up-date: Other no  future
    update of leather records; dairy &  fruit &  vegetables, etc. to
(CMP)  Completion  of form:
    Stephen Wright/Turner Hansel
    DFC: Eduard c. Jordan Co., Inc.
    AD: Portland,™ Maine  04112
    PH: (207)775-5401
(DF)  Date of form completion: 02-08-83
(KMAT)  Number of  substances represented in data base:  139
(NCAS)  Number of  CAS registry numbers  in data base: 130
(MAT)  Substances  represented in data base:
    l,l,l-trichloroethane<71-55-         l,l-dichloroethylene<75-35-4>
       6>                                l,2,4,-trichloroben2ene<120-82-l>
    1,1,2,2,-tetrachloroethane           l,2-dichlorobenzene<95-50-l>
       <79-34-5>                         l,2-dichloroethane<107-06-2>
    l,l,2-trichloroethane<79-00-5>       l,2-dichloropropane<78-87-5>
    1,l-dichloroethane<75-34-3>          l,2-dichloropropylene<563-54-2>


                             277

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                         Accession No.  5302000115
                  (cent)
l,2-diphenylhydrazine<122-66-7>
Ix2-trans-dichloroethylene
   <156-60-5>
l,3-dichlorobenzene<541-73-l>
\t 4-dichlorobenzene<106-46-7>
2* 4,6- tr ichloropheno K88-0 6-2>
2/4-dichlorophenol<120-83-2>
2f 4-diinethylphenol<105-67-9>
2,4-dinitrophenol<51-28-5>
2, 4-dinitrotoluene<121-14-2>
2,6-dinltrotoluene<606-20-2>
2-chloroethylvinyl ether<110-75-8>
2-chloronaph thalene< 91 -58-7>
2-chlorophenol<95-57-8>
2-nitrophenol<88-75-5>
3,3'~dichlorobenzidine<91-94-l>
3,4-benzofluoranthene<205-99-2>
bis (2-ethylhexyUphthalate
4/4*-dde(p,p*-ddjc}<72-55-9>
4,4'-ddt<50-29~3>
4/6-dinitro-o-cresol<534-52-l>
4-bromophenyl phenyl ether
   <101-55-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02^7>
acersaphthene<83-32-9>
acenaphthylene<208-96-8>
acrolein<107-02-8>
acrylonitrile<107-13-l>
aldrin<309-00-2>
anthracene<120-12-7>
antimony<7440-36-0>
arsenlc<7440-38-2>
asbestos<1332-21-4>
benzene<71-43-2>
benz id ine< 92-87- 5>
benzo( a) anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
benzo(k)fluoranthene< 207-08- 9>
beryllium<7440-41-7>
bhc (lindane)-gamma< 58-89- 9>
bhc-alpha<31 9-84-6>
bhc-beta<3!9-85-7>
bhc-delta<319-86-8>
biological oxygen demand (BOD)
bis(2-chloroethoxy)raethane
bis(2-chloroethyDether
bis(2-chlorolsopropyl) ether
   <39638-32-9>
bis(chloromethyl)ether<542-88-l>
bromomethane<74-83-9>
butyl benzyl phthalate<85-68-7>
cadmiura<7440-43-9>
carbon tetrachloride<56-23-5>
chemical oxygen demand (COD 3
chlordane<57-74-9>
chlorobenzene<108-90-7>
chlorocibromomethane<124-48-l>
chloroethane<75-00-3>
chlorofor»<67-66-3>
chloromethane<74-87-3>
chromlura<7440-47-3>
chrysene<218-01-9>
copper<7440-50-8>
cyanide<57-12-5>
dl-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
dibenzo(a/h)anthracene<53-70-3>
dichlorobroiBOffiethane<75-27-4>
dichlorodifluoromethane<75-71-8>
dichloroBethane<75-09-2>
dieldrin<60-57-l>
diethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
endosulfan sulfate<1031-07-8>
endosulf an-alpha< 959-98-8>
endosulfan-beta<33213-65-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylbenzene<100-41-4>
fluoranthene<206-44-0>
fluorene<86-73-7>
heptachlor epoxide<1024-57-3>
hep tachlor<76-44-8>
hex achlorobenzene
hexachlorobutadiene<87-68-3>
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
indeno (l,2,3-cd)pyrene<193-39-5>
iron<7439-89-6>
isophorone<78-59-l>
lead<7439-92-l>
mercury<7439-97-6>
n-nit rosodi-n-propy lamine
   <621-64-7>
n*nitrosodimethylamine<62-75-9>
n-nitroscdiphenylamlne<86-30-6>
naphthal€ne<91-20-3>
nickel<7440-02-0>
                         278

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                             Accession No.   5302000115     (cent)

    nitrobenzene<98-95-3>                pentachlorophenol<87-86-5>
    nitrogen<7727-37-9>                  phenanthrene<85-01-8>
    oil and grease                       phenol<108-95-2>
    oxygen demand                        pyrene<129-00-0>
    p-chloro-m-cresol<59-50-7>           seleniuffl<7782-49-2>
    pH                                   silver<7440-22-4>
    pcb-1016 (arochlor 1016)              suspended solids
       <12674-ll-2>                      tetrachloroethylene<127-18-4>
    pcb-1221 {arochlor 1221)              thailium<7440-28-0>
       <11104-28-2>                      titaniun<7440-32-6>
    pcb-1232 Carochlor 1232)              toluene<108-88-3>
       <11141-16-5>                      total dissolved solids (TDS)
    pcb-1242 (arochlor 1242)              total suspended solids (TSS)
       <53469-21-9>                      toxaphene<8001-35-2>
    pcb-1248 (arochlor 1248)              tribromoi6ethane<75-25-2>
       <12672-29-6>                      trichloroethylene<79-01-6>
    pcb-1254 (arochlor 1254)              trichlorofluoromethane<75-69-4>
       <11097-69-l>                      vinyl chloride<75-01-4>
    pcb-1260 (arochlor 1260)              zinc<7440-66-6>
       <11096-82-5>
       CAS registry numbers of substances included in data  base: 71-55-6
    ; 79-34-5;  79-00-5; 75-34-3; 75-35-4?       120-82-1; 95-50-1;
    107-06-2; 78-87-5; 563-54-2; 122-66-7;  156-60-5;   541-73-1;
    106-46-7; 88-06-2; 120-83-2; 105-67-9;  51-28-5; 121-14-2;
    606-20-2; 110-75-8; 91-58-7; 95-57-8; 88-75-5; 91-94-1; 205-99-2;
    72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7; 83-32-9;
    208-96-8; 107-02-8; 107-13-1; 309-00-2; 120-12-7; 7440-36-0;
    7440-38-2;  1332-21-4; 71-43-2; 92-87-5; 56-55-3; 50-32-8; 191-24-2'
    207-08-9; 7440-41-7; 58-89-9; 319-84-6; 319-85-7; 319-86-8;
    111-91-1;      111-44-4;  39638-32-9;  117-81-7; 542-88-1; 74-83-9?
    85-68-7;      7440-43-9;  56-23-5; 57-74-9? 108-90-7; 124-48-1;
    75-00-3? 67-66-3;    74-87-3; 7440-47-3? 218-01-9; 7440-5C-8;
    57-12-5; 84-74-2; 117-84-0?       53-70-3; 75-27-4? 75-71-8;
    75-09-2; 60-57-1; 84-66-2; 131-11-3;        1031-07-6; 959-98-8?
    33213-65-9; 7421-93-4; 72-20-8; 100-41-4;   206-44-0; 86-73-7?
    1024-57-3;  76-44-8; 118-74-1; 87-68-3;  77^47-4;    67-72-1;
    193-39-5? 7439-69-6; 78-59-1; 7439-92-1; 7439-97-6;     621-64-7?
    62-75-9; 86-30-6; 91-20-3; 7440-02-0; 98-95-3; 7727-37-9?
    59-50-7; 12674-11-2? 11104-28-2; 11141-16-5; 53469-21-9;
    12672-29-6;       11097-69-1; 11096-82-5; 87-86-5; 85-01-8?
    108-95-2? 129-00-0?    7782-49-2; 7440-22-4; 127-18-4;  7440-28-0;
    7440-32-6?  108-88-3;       8001-35-2; 75-25-2; 79-01-6; 75-69-4;
    75-01-4; 7440-66-6
(CWM)  Contact  name(s): Steeves,R.A«   ;     Steeves^R.A.
(CQR)  Contact  organization:  Donald F. Anderson
(ROR)  Responsible Organization: Office of Hater.Office of Mater
    Regulations and Standards*Effluent Guidelines Divisio
                             279

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                             Accession No.   5302000116


-------
                             Accession No.   5302000116
                  (cont)
    Included in data base
(EOT)  Edit ting:  No known edit procedures exist.
(CBY)  Data collected by: Regional office Surveillance and Analysis
    Division, Region  I, II, III, IV. ;    Contractor Sverdrup, Corp.,
    Engineering Sciences
(ABY)  Data analyzed by: Regional office Surveillance and Analysis
    Divisions, Region I, II, III, IV.
    Contractor lab Monsanto
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Development of regulations
    and standards
(AOf)  Authorization for data collection: Statutory authorization is P
    L 92-500 and P L 95-217, Sections 301 and 308  (Clean Water Act)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Machine-reada
    ble raw data
(NUS)  dumber of regular users of data base: 1 office
(USR)  Current regular users of data base:  EPA headquarter offices
    Effluent Guidelines Division   CONFIDENTIAL:  Limits on access
    within EPA and outside agency for all data
(DLC)  Primary physical location of data: Headquarters office
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: (contractor system) Sverdrup Corporation
    (St. Louis),    E.C. Jordan (Portland, HE)*
(CHG)  Direct charge for non-EPA use: no outside  use/access permitted
(CMP)  Completion of form:
    Richard E. Williamsf    OFC: EPA/(OSWM)/(Q«RS)/(EGD)
    AD: 401 M St, S.W. Washington, D.C.
    PH: (202)382-7186
(DF)  Date of form completion: 01-13-83
(RMAT)  Number of substances represented in data  base: 135
(NCAS)  Number of CAS registry numbers in data base: 127
(MAT)  Substances represented in data base:
    1,l,l-trichloroethane<71-55-
       6>
    1,1,2,2,-tetrachloroethane
       <79-34-5>
    1,1,2-trichloroethane<79-00-5>
    1,l-dichloroethane<75-34-3>
    l,l-dichloroethylene<75-35-4>
    l,2,4,-trichlorobenzene<120-82-l>
    l,2~dlchlorobenzene<95-50-l>
    If2-dichloroethane<107-06-2>
    l,2-dichloropropane<78-87-5>
    1,2-dichloropropy1ene<563-54-2>
    l,2-diphenylhydrazine<122-66-7>
    1,2- trans- dichloro at hylene
       <156-60-5>
    l,3-dichlorobenzene<541-73-l>
    lf4-dichlorobenzene<106-46-7>
    2,4,6-trichlorophenol<88-06-2>
2,4-dichlorophenol<120-83-2>
2,4-dimethylphenol<105-67-9>
2,4-dinitrophenol<51-28-5>
2,4-dlnitrotoluene<121-14-2>
2,6-dinitrotoluene<606-20-2>
2-chloroethylvinyl ether<110-75-8>
2-chloronaphthalene<91-58-7>
2-chlorophenol<95-57-8>
2-nitrophenol<88-75-5>
3,3 *-dichlorobenzidine<91-94-l>
3,4-benzofluoranthene<205-99-2>
4,4*-ddd(p,p*tde)
4,4*-dde(p
4,4*-ddt<50-29-3>
4,6-dinitro-o-cresol<534^52-l>
4-bromophenyl phenyl ether
   <101-55-3>
                             281

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                         Accession No.  5302000116
                  (cont)
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
acenaphthene< 83-32 -9>
acenaphthylene<208-96-8>
acrolein<107-02-8>
acrylonitrile< 107-13-1>
aldrin<3Q9-00-2>
anthracene<120-12-7>
antimony<7440-36-0>
arsenic<7440-38-2>
asbestos<1332-21-4>
ben2ene<71-43-2>
benzidine<92-87-5>
benzo( a) anthracene<56-55-3>
ben?o(a)pyrene<50-32-8>
benzo(g,h, i)perylene<191-24-2>
benzo(k)fluoranthene< 207-0 8-9>
beryllium<7440-41-7>
bhc (lindane)-gamffla<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
biological oxygen demand (BQD)
bis(2-chloroethojcy)rae thane
bis(2-chloroethyl)ether
bis( 2-chloroisopropyl) ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis(chloromethyl)ether<542-88-l>
brottOfflethane<74-83-9>
butyl benzyl phthalate<85-68-7>
cadmiura<7440-43-9>
carbon tetrachloride<56-23-5>
chemical oxygen demand (COD)
chlordane<57-74-9>
chlorobenzene<10 8-90-7>
chlorodibromoraethane<124-48-l>
chloroethane<75-00-3>
chloroform<67-66-3>
chloromethane<74-87-3>
chromlum<7440-47-3>
chrysene<218-01-9>
color
copper<7440-50-8>
cyanlde<57-12-5>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
dibenzo(a,h)anthracene<53-70-3>
dichlorobromomethane<75~27-4>
dlchlorodifluoroaiethane<75-71-8>
dichloromethane<75-09-2>
dieldrin<60-57-l>
diethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
endosulfan sulfate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylbenzene<100-41-4>
fluoranthene<206-44-0>
f luorene< 86-7 3-7>
heptachlor epojclde<1024-57-3>
heptachlor<76-44-8>
hex achlorobenzene< 118-7 4-l>
hexachlorobutadlene<87-68-3>
hexachlorocyclopentadiene<77-47-4>
hex achloroethaue< 67-7 2-l>
indeno (l,2,3-cd)pyrene<193-39-5>
isophorone<78-59-l>
lead<7439-92-l>
raercury<7439-97-6>
n-nltrosodi-n-propylamine
   <621-64-7>
n-ni trosod ime thyl am ine< 62-7 5-9>
n-nitrosodiphenylaoiine<86-30-6>
naphtha lene<91-20-3>
nickel<7440-02-0>
nitroben2ene<98-95-3>
p-chloro-m-cresol<59-50-7>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorophenol<87-86-5>
Ph
phenanthrene<85-01-8>
phenol<108-95-2>
pyrene<129-00-0>
selenlun<7782-49-2>
silver<7440-22-4>
                         282

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                             Accession No.   5302000116     (cont)

    sulfide                              toxaphene<8001-35-2>
    tetrachloroethylene<127-18-4>        tribromomethane<75-25-2>
    thallium<7440-28-0>                  trichloroethylene<79-01-6>
    toluene<108-88-3>                    trichlorofluoromethane<75-69-4>
    total phenol                         vinyl chloride<75-01-4>
    total suspended solids (TSS)         zinc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data base: 71-55-6
    ; 79-34-5;  79-00-5; 75-34-3; 75-35-4?       120-82-1; 95-50-1;
    107-06-2;  78-87-5;  563-54-2; 122-66-7;  156-60-5;   541-73-1;
    106-46-7;  88-06-2;  120-83-2; 105-67-9;  51-28-5; 121-14-2;
    606-20-2;  110-75-8; 91-58-7; 95-57-8; 88-75-5; 91-94-lj 205-99-2;
    72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7; 83-32-9;
    208-96-8;  107-02-8; 107-13-1; 309-00-2; 120-12-7; 7440-36-0;
    7440-38-2;  1332-21-4; 71-43-2; 92-87-5; 56-55-3; 50-32-8; 191-24-2;
    207-08-9;  7440-41-7; 58-89-9; 319-84-6; 319-85-7; 319-86-8;
    111-91-1;       111-44-4; 39638-32-9; 117-81-7; 542-88-1; 74-83-9;
    85-68-7;      7440-43-9; 56-23-5; 57-74-9; 108-90-7; 124-48-1;
    75-00-3; 67-66-3;    74-87-3; 7440-47-3; 218-01-9; 7440-50-8;
    57-12-5; 84-74-2; 117-84-0;       53-70-3; 75-27-4; 75-71-8;
    75-09-2; 60-57-1; 84-66-2; 131-11-3;       1031-07-8; 959-98-8;
    33213-65-9; 7421-93-4; 72-20-8; 100-41-4;   206-44-0; 86-73-7;
    1024-57-3;  76-44-8; 118-74-1; 87-68-3;  77^47-4;    67-72-1;
    193-39-5;  78-59-1;  7439-92-1; 7439-97-6; 621-64-7; 62-75-9;
    86-30-6; 91-20-3; 7440-02-0; 98-95-3; 59-50-7; 12674-11-2;
    11104-28-2; 11141-16-5; 53469-21-9; 12672^29-6; 11097-69-1;
    11096-82-5; 87-86-5; 85-01-8; 108-95-2; 129-00-0; 7782-49-2;
    7440-22-4;  127-18-4; 7440-28-0; 108-88-3; 8001-35-2; 75-25-2;
    79-01-6; 75-69-4; 75-01-4; 7440-66-6
(CNM)  Contact  narne(s): Williams/R.E.
(RQR)  Responsible Organization: Office of Hater-Office of Hater
    Regulations and Standards.Effluent Guidelines Divisio
                             283

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                             Accession So.   530200011?

(DQ)  Date of Questionaire:  12-02-82
(HAM)  Name of Data Base of Model:  Best Management Practices/  Timber
    industry Effluent  Guidelines - Runoff
(ACR)  Acronym of Data Base or Model:  None
(MED)  fedia/Subject of Data Base or Model:  Runoff wood preserving
    plant storage yards
(ABS)  Abstract/over view of Data Base or Model:  Conventional  and
    consent decree priority     pollutants detected in  samples of
    stormwater runoff    from wood  preserving treated material storage
    yards.
(CTC)  CONTACTS:  Subject matter   Bevin A. Beaudet  (202)372-3318 J
    EPA Office     Richard E. Williams  (202) 382-7186
(DTP)  Type of data collection or monitoring: Nan point source data
    collection
(STA)  Data Base  status: Operational/ongoing
(GRP)  Groups of  substances represented in Data  Base: 129 307  C«A >11
    conventional  water
(NPP)  Non-pollutant parameters included in  the  data bases  Collection
    method ;Discharge points ;Flow  rates ;Industry ^Location  ;
    Precipitation >Sampling date >Site description ;Volume/roass
    measures
(DS)  Time period covered by data bases 08-01-79 TO 12-30-80
(TRM)  Termination of data collection: Occurred  12/30/80
(FRQ)  Frequency  of data collection or sampling: as needed
(NOB)  Eumber of  observations in data base:  3450.(Actual)
(NEI)  Estimated  annual increase of observations in data base: 1330.
(IMF)  Data base  includes: Ran data/observations
(NTS)  Total number of stations or  sources covered in data  base: 36.
(RCS)  No. stations or sources currently originating/contributing data:
    26.
(NOF)  Number of  facilities covered in data  base (source monitoring): 7.
(GEQ)  Geographic coverage of data  base: National
(LOG)  Data elements identifying location of station or source include:
    State ;City ^Street address ;Coordinates latitude/longitude
(FAC)  Data elements identifying facility include: Plant facility name
    ;Plant location ^Street address ;SIC code
(CDE)  Pollutant  identification data are: Storet parameter
(LIM)  Limitation/variation in data of which user should be aware: Five
    samples of data base are grab samples for screening purposes only
    and not for   quantification.  Seven facilities located in
    southeast, California, and Oregon.
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Samplin
    g plan documented ^Collection method documented ^Analysis  method
  ,  document QA procedures documented
(ANL)  Lab analysis based on SPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates partially  exist for
    July, 1980
(EOT)  Fditting:  Edit procedures used but undocumented.
(CBY)  Data collected by: Contractor Environmental Science  and
    Engineering,  Inc.
(ABY)  Data analyzed by: Contractor lab Energy Resources Co.,  Midwest


                             284

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                             Accession No.   5302000117
                  (cant)
    Research  Institute/  Batelle Laboratory.  S(3),  PML/  Analytical
    Research    Laboratories/  Spectix Corporation/  Barringer Magenta
    Ltd.
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  development of best
    management practices
(AUT)  Authorization for  data  collection:  Statutory authorization is P
    L 92-500, Section 304 (e)  (Clean Water  Act -   CMA)
(OMB)  Data collected/submitted using OMB-approved  EPA reporting forms;
    QQ
(REP)  Form of available  reports and outputs  of data base:  hardcopy of
    data
(NtfS)  Number of regular  users of data base:  10
(DSR)  Current regular users of data base:  EPA headquarter offices
    Effluent Guidelines Division
    concerned industries
(CNF)  Confidentiality of data and limits  on  access: Limits on outside
    access for some data
(DLC)  Primary physical location of data:  Contractor
(DST)  Form of data storage: Original form  (hardcopy/ readings)
(DAC)  Type of data access: Manually
(CHG)  Direct charge for  non-EPA use: yes
(UPDT)  Frequency of data base master file  up-date: Gther as needed
(RDBEPA)  Related EPA data bases used in conjunction uith this data base
    national Pollutant Discharge  Elimination System (NPDES) Compliance
    Reports for stormuater runoff.
(CMP)  Completion of form:
    Richard E. Williams
    OFC: EPA/(OHWM)/(OWRS)/(EGD) (Wfl-552)
    AD: 401 M St, SW Washington, D.C. 20460
    PH; (202)382-7186
(DF)  Date of form completion: 01-13-83
(NMAT)  Number of substances represented in data base: 133
(NCAS)  Number of CAS registry numbers in  data base: 125
(MAT)  Substances represented in data base:
    l,l,l-trichloroethane<71-55-
       6>
    1/1/2, 2,-tetrachloroethane
       <79-34-5>
    1,l/2-trichloroethane<79-00-5>
    l,l-dichloroethane<75-34-3>
    I/l-dichloroethylene<75-35-4>
    l/2/4/-trichlorobenzene<120-82-l>
    l,2-dichlorobenzene<95-50-l>
    l,2-dichloroethane<107-06-2>
    l/2-dichloropropane<78-87-5>
    I/2-dichloropropylene<563-54-2>
    l/2-diphenylhydrazine<122-66-7>
    1/2-trans-dichloroethylene
       <156-60-5>
    l,3-dichlorobenzene<541-73-l>
    l/4-dichlorobenzene<106-46-7>
2/4/6-trlchlorophenol<88-06-2>
2,4/7,8-tetrachlorodibenzo-p-
   dioxin (tcdd)
2,4-dlchlorophenol<120-83-2>
2,4-dimethylphenol<105-67-9>
2/4-dinitrophenol<51-28-5>
2,4-dinitrotoluene<121-14-2>
2/6-dinitrotoluene<606-20-2>
2-chloroethylvinyl ether<110-75-8>
2-chloronaphthalene<91-58-7>
2-chlorophenol<95-57-8>
2-nitrophenol<88-75-5>
3,3'-dichlorobenzidine<91-94-l>
3/4-benzofluoranthene<205-99-2>
4,4*-ddd(p,p'tde)
4/4'-dde(p,p*-ddx)<72-55-9>
4,4'-ddt<50-29-3>
                             285

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                         Accession No.  5302000117
                  (cont)
4,6-dinitro-o-cresol<534-52-l>
4-broiDOphenyl phenyl ether
   <101-55-3>
4-cMorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
acenaphthene<83-32-9>
acenaphthylene<208-96-8>
acrolein<107-02-8>
acrylonitrile<107-13-l>
aldrin<309-00-2>
anthracene<120-12-7>
antimony<7440-36-0>
arsenic<7440-38-2>
benzene<71-43-2>
benzidine<92-87-5>
benzo(a)anthracene<56-55-3>
ben20(a)pyrene<50-32-8>
benzoCg/h/ i)perylene< 191-2 4-2>
benzo(k)fluoranthene<207-08-9>
beryllIum<7440-41-7>
bhc (llndane)-gamraa<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85»7>
bhc-del ta< 319- 86-8>
bis(2-chloroethoxy)fflethane
bis(2-chloroethyl)Qther
bis(2-chlorolsopropyl) ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis(chloroiaethyl)ether<542-88-l>
bromoraethane<74-83-9>
butyl benzyl phthalate<85-68-7>
cadBium<7440-43-9>
carbon tetrachloride<56-23-5>
chlordane<57-74-9>
chlorobenzene
chlorodibroraofflethane<124-48-l>
chloro ethane<7 5-00-3>
chioroform<67-66-3>
chlorofliethane<74-87-3>
ch rcmium<7 44 0- 47- 3>
chrysene< 218-0 l-9>
copper<7440-50-8>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
dlbenzo(a,h) anthracene<53-70-3>
dichlorobroraoraethane<75-27-4>
dIchlorodlfluoromethane<75-71-8>
dlchloromethane<75-09-2>
dieldrin<60-S7-l>
diethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
dissolved solids
endosulfan sul£ate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylbenzene<100-41-4>
fluoranthene<206-44-0>
fluorene<86-73-7>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
hexachlorobutadiene<87-68-3>
hexachlcrocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
indeno (l,2<,3-cd)pyrene<193-39-5>
isophorone<78-59-l>
lead<7439-92-l>
mercury <7439-97-6>
n-nitrosodi-n-propylaraine
   <621-64-7>
n-nitrosodifflethylamine<62-75-9>
n-nitrosodiphenylanine<86-30-6>
naphthalene<91-20-3>
nickel<7440-02-0>
nitrobenzene<98-95-3>
oil and grease
oxygen demand
p-chloro-m-cresol<59-50-7>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 ( arochlor 1221)
   <11104-28-2>
pcb-1232 {arochlor 1232)
pcb-1242 Carochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorophenol<87-86-5>
Ph
phenanthrene<85-01-8>
phenol<108-95-2>
pyrene<129-00-0>
seleniuni<77a2-49-2>
                         286

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                             Accession No.   5302000117     (cont)

    silver<7440-22-4>                    toxaphene<8001-35-2>
    sustended solids                     tribromoiiethane<75-25-2>
    tetrachloroethylene<127-18-4>        trichloroethylene<79-01-6>
    thalliuja<7440-28-0>                  trichlorofluoromethane<75-69-4>
    toluene<108-88-3>                    vinyl chloride<75-01-4>
    totsl phenol                         zinc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data base: 71-55-6
    ; 79-34-5; 79-00-5; 75-34-3? 75-35-4;       120-82-1; 95-50-1;
    107-06-2; 78-87-5; 563-54-2; 122-66-7;  156-60-5;   541-73-1;
    106-46-7; 88-06-2; 120-83-2; 105-67-9;  51-28-5; 121-14-2;
    606-20-2; 110-75-8; 91-58-7; 95-57-8; 88-75-5; 91-94-1; 205-99-2;
    72-55-9;  50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7; 83-32-9;
    208-96-8; 107-02-8; 107-13-1; 309-00-2; 120-12-7; 7440-36-0;
    7440-38-2; 71-43-2; 92-87-5; 56-55-3; 50-32-8; 191-24-2; 207-08-9;
    7440-41-7; 58-89-9; 319-84-6; 319-85-7; 319-86-8; 111-91-1;
    111-44-4;      39638-32-9; 117-81-7; 542-88-1; 74-83-9; 85-68-7;
    7440-43-9; 56-23-5;      57-74-9; 108-90-7; 124-48-1; 75-00-3;
    67-66-3;  74-87-3; 7440-47-3;    218-01-9; 7440-50-8; 34-74-2;
    117-84-0; 53-70-3; 75-27-4; 75-71-8;    75-09-2; 60-57-1; 84-66-2;
    131-11-3; 1031-07-8; 959-98-8; 33213-65-9;      7421-93-4; 72-20-8;
    100-41-4; 206-44-0; 86-73-7; 1024-57-3; 76-44-8;       118-74-1;
    87-68-3;  77-47-4; 67-72-1; 193-39-5; 78-59-1; 7439-92-1;
    7435-97-6; 621-64-7; 62-75-9; 86-30-6;  91-20-3; 7440-02-0; 98-95-3;
    59-50-7;  12674-11-2; 11104-28-2; 11141-16-5; 53469-21-9;
    12672-29-6;       11097-69-1; 11096-82-5; 87-86-5; 85-01-8;
    108-95-2; 129-00-0;    7782-49-2; 7440-22-4; 127-18-4; 7440-28-0;
    108-88-3; 8001-35-2;       75-25-2; 79-01-6; 75-69-4; 75-01-4;
    7440-66-6
(CNM)  Contact narae(s): Beaudet/B.A.   ;    Williams/R.E.
(ROR)  Responsible Organization: Office of Water.Off ice of Water
    Regulations and Standards.Effluent Guidelines Divisio
                             287

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                             Accession  No.   5302000118

(DQ)  Date of Questionaire:  12-02-82
(NAN)  Name of Data Base of  Model:  Best Management  Practices,  Timber
    Industry  Effluent Guidelines - Sludge
(ACR)  Acronym of Data Base  or  Model:  None
(MED)  Media/Subject of Data Base or Model:  Other sludge
(ABS)  Abstract/Overview of  Data Base  or Model:  Conventional consent
    decree priority    pollutants detected  in samples of  sludge
    generated     in the Timber Products Processing Industry.
(CTC)  CONTACTS:  Subject matter   Bevin A.  Beaudet   (904)372-3318  ;
    EPA Office  Richard E. Williams  (202)  382-7182
(DTP)  Type of data collection  or monitoring:  Point source  data
    collection timber processing sludge
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in  Data  Base: 129 Priority
    Pollutants CWA
(NPP)  Non-pollutant parameters included in the  data base:  Collection
    method /Discharge points >Disposal  ;Industry /Location  >
    physical data /Sampling  date /Site  description  /Treatment  devices
(DS)  Tine period covered by data base: 08-01-79 TO 12-30-80
(TRM)  Termination of data collection:  Occurred  12/30/80
(FRQ)  Frequency of data collection or  sampling: as needed
(NOB)  Number of observations in data  base:  3225.(Actual)
(NED  Estimated annual increase of. observations in data  base: 1032.
(INF)  Data base includes: Raw  data/observations
(NTS)  Total number of stations or sources  covered  in data  base: 33.
(NCS)  ?io, stations or sources  currently originating/contributing  data:
    25.
(NOF)  Number of facilities  covered in  data base (source  monitoring): 7.
(GEO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source include:
    State /City /Street address /Coordinates latitude/longitude
(FAC)  Data elements identifying facility include:  Plant  facility  name
    /Plant location /Street  address /SIC code
(CDE)  Pollutant identification data  are: Storet parameter
(LIM)  Limitation/variation  in  data of  which user  should  be aware: Analy
    tical results are not directly     comparable with  Resource
    Conservation and Recovery     Act  (RCRA) EP  Toxicity  criteria.
    Seven sites,     located  in  the southeast, California, and  Oregon,
    representative of total  industry  (917).
(DPR)  Data collect./anal, procedures  conform to ORD guidelines: Sanplln
    g plan documented ;Collection method documented /Analysis  method
    document QA procedures  documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? IfES
(AUD)  Lab Audit: Lab audit  is  satisfactory.    Lab audit  is
    satisfactory for Analyses performed by  EPA contractor labs..
(PRE)  Precision: Precision  and accuracy estimates  partially  exist for
    to be provided by SPA contractor  labs.
(EOT)  Editting:  Edit procedures used  but undocumented.
(CBY)  Data collected by: Contractor  Environmental  Science  and
    Engineering, Inc«
(ABY)  Data analyzed by: Contractor lab Energy Resources  Co.,  Midwest
    Research  Institute, Batelle Laboratory, Analytical Research


                             288

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                             Accession No.   5302000118     (cont)

    Laboratories, Acur ex,    Spectrex Corporation.
(IDL)  Laboratory identification:  YES
(PR1)  Primary purpose of  data collection:  development of best
    management practice
(AOT)  Authorization for data collection:  Statutory authorization  is  P
    L 92-500, Section 304(e) (Clean Water  Act-CWA)
(OMB)  Data collected/submitted using OMB-approved  EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: hardcopy of
    data
(NUS)  dumber of regular users of  data base: 10
(USR)  Current regular users of data base:  EPA headquarter offices
    Effluent Guidelines Division
    concerned industries
(CNF)  Confidentiality of  data and limits  on access: Limits on outside
    access for some data
(DLC)  Primary physical location of data:  Contractor
(DST)  Form of data storage: Original form (hardcopy, readings)
(BAG)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: yes
(CMP)  Completion of form:
    Richard E. Williams
    OFC: EPA/(OWWH)/(QWRS)/(EGD) (¥H-552)
    AD: 401 M St., S.W. Washington, D.C. 20460
    PH: (202)382-7186
(DF)  Date of form completion: 01-13-83
(NMAT)  Number of substances represented in data base: 129
(NCAS)  Number of CAS registry numbers in  data base: 125
(MAT)  Substances represented in data base:
    l,l,l-trichloroethane<71-55-        2,4-dinitrotoluene<121-14-2>
       6>                               2,6-dinitrotoluene<606-20-2>
    1,1,2,2,-tetrachloroethane          2-chloroethylvinyl ether<110-75-8>
       <79-34-5>                        2-chloronaphthalene<91-58-7>
    1, 1, 2-trichloroethane<79-00-5>      2-chlorophenol<95-57-8>
    l,l-dichloroethane<75-34-3>         2-nitrophenol<88-75-5>
    l,l-dichloroethylene<75-35-4>        3,3*-dichlorobenzidine<91-94-l>
    l,2,4,-trichlorobenzene<120-82-l>   3,4-benzofluoranthene<205-99-2>
    l,2-dichlorobenzene<95-50-l>        4,4*-ddd(p,p*tde)
    l,2-dichloroethane<107-06-2>        4,4'-dde(p,p'-ddx)<72-55-9>
    1,2-dichloropropane<78-87-5>        4,4w-ddt<50-29-3>
    1,2-dichloropropylene<563-54-2>     4,6-dinitro-o-cresol<534-52-l>
    l,2-diphenylhydrazine<122-66-7>     4-bromophenyl phenyl ether
    1,2-trans-dichloroethylene              <101-55-3>
       <156-60-5>                       4-chlorophenyl phenyl ether
    l,3-dichlorobenzene<541-73-l>            <7005-72-3>
    l,4-dichlorobenzene<106-46-7>        4-nitrophenol<100-02-7>
    2,4,6-trichlorophenol<88-06-2>      acenaphthene<83-32-9>
    2,4,7,8-tetrachlorodibenzo-p-        acenaphthylene<208-96-8>
       dioxin (tcdd)                    acrolein<107-02-8>
    2,4-dichlorophenol<120-83-2>        acrylonitrile
    2,4-diraethylphenol<105-67»9>        aldrin<309-00-2>
    2,4-dinitrophenol<51-28-5>          anthracene<120-12-7>


                             289

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                             Accession  No.   5302000118
                  (cent)
    antimony<7440-36-0>
    arsenic<7440-38-2>
    benzene<71-43-2>
    benzidine<92-87-5>
    ben2o(a)anthracene<56-55-3>
    benzo(a)pyrene<50-32-8>
    benzo(g,h/i)perylene<191-24-2>
    benzo(k)fluoranthene<207-08-9>
    beryllium<7440-41-7>
    bhc (lindane)-gan»na<58-89-9>
    bhc-alpha<319-84-6>
    bhc-beta<319-85-7>
    bhc-delta<319-86-8>
    bis(2-chloroethoxy)methane
    bis(2-chloroethyl)ether
    bis(2-chloroisopropyl) ether
       <39638-32-9>
    bls(2-ethylhexyl)phthalate
    bis(chloromethyl)ether<542-88-l>
    bromomethane<74-83-9>
    butyl benzyl  phthalate<85-68-7>
    cadBium<7440-43-9>
    carbon tetrachloride<56-23-5>
    chlordane<57-74-9>
    chlorobenzene<108-90-7>
    chlorodibromomethane<124-48-l>
    chloroethane<75-00-3>
    chloroforra<67-66-3>
    chlororaethane<74-87-3>
    chromium<7440-47-3>
    chrysene< 218-0 l-9>
    copper<7440-50-8>
    di-n-butyl  phthalate<84-74-2>
    di-n-octyl  phthalate<117-84-0>
    dlbenzo(a,h)anthracene<53-70-3>
    dichlorobromoraethane<75-27-4>
    dichlorodifluoroiBethane<75-71-8>
    dicblororaethane<75-09-2>
    dieldrin<60-57-l>
    die thy 1 phthalate<84-66-2>
    dimethyl phthalate<131-ll-3>
    endosulfan  sulf ate<1031-07-8>
    endosulfan-alpha<959-98-8>
    endosulfan-beta<33213-65-9>
    endrin aldehyde<7421-93-4>
    endrln<72-20-8>
    ethylbenzene<100-41-4>
    fluoranthene<206-44-0>
fluorene<86-73-7>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>      1
hexachlcrobutadiene<87-68-3>
hexachlorocyclopentadlene<77-47-4
hexachloroethane<67-72-l>
indeno (l,2,3-cd)pyrene<193-39-5>
Isophorone<78-59-l>
lead<7439-92-l>
mercury<7439-97-6>
n-nltrosodl-n-propylamlne
   <621-64-7>
n-nitrosodinethylanine<62-75-9>
n-nitrosodiphenylaBine<86-30-6>
naphthalene<91-20-3>
nickel<7440-02-0>
nitrobenzene<98-95-3>
oil and grease
p-chloro-m-cresol<59-50-7>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorophenol<87-86-5>
phenanthreneC85-01-8>
phenol<108-95-2>
pyrene<129-00-0>
selenluia<7782-49-2>
silver<7440-22-4>
suspended solids
tetrachloroethylene<127-18-4>
thalliuia<7440-28-0>
toluene<108-88-3>
toxaphene<8001-35-2>
tribromoffiethane<75-25-2>
trichloroethylene<79-01-6>
trichlorofluoromethane<75-69-4>
vinyl chloride<75-01-4>
zinc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data base:  71-55-6
    ; 79-34-5;  79-00-5;  75-34-3;  75-35-4?       120-82-1;  95-50-1;
                             290

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                             Accession No*  5302000118     (cont)

    107-06-2;  78-87-5; 563-54-2; 122-66-7; 156-60-5;   541-73-1;
    106-46-7;  86-06-2; 120-83-2; 105-67-9; 51-28-5; 121-14-2;
    606-20-2;  110-75-8; 91-58-7; 95-57-8; 88-75-5; 91-94-1; 205-99-2;
    72-55-9;  50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7; 83-32-9;
    208-96-8;  107-02-8; 107-13-1; 309-00-2; 120-12-7; 7440-36-0;
    7440-38-2; 71-43-2; 92-87-5; 56-55-3; 50-32-8; 191-24-2; 207-08-9;
    7440-41-7; 58-89-9; 319-84-6; 319-85-7; 319-86-8; 111-91-1;
    111-44-4;       39638-32-9; 117-81-7; 542-88-1; 74-83-9; 85-68-7;
    7440-43-9; 56-23-5;      57*74-9; 108-90-7; 124-48-1; 75-00-3;
    67-66-3;  74-87-3; 7440-47-3;    218-01-9; 7440-50-8; 84-74-2;
    117-84-0;  53-70-3; 75-27-4; 75-71-8;    75-09-2; 60-57-1; 84-66-2;
    131-11-3;  1031-07-8; 959-98-8; 33213-65-9;      7421-93-4; 72-20-8;
    100-41-4;  206-44-0; 86-73-7; 1024-57-3; 76-44-8;       118-74-1;
    87-68-3;  77-47-4; 67-72-1; 193-39-5; 78-59-1; 7439-92-1;
    7439-97-6; 621-64-7; 62-75-9; 86-30-6; 91-20-3; 7440-02-0; 98-95-3;
    59-50-7;  12674-11-2; 11104-28-2; 11141-16-5; 53469-21-9;
    12672-29-6;       11097-69-1; 11096-82-5; 87-86-5; 85-01-8;
    108-95-2;  129-00-0;    7782-49-2; 7440-22-4; 127-18-4; 7440-28-0;
    108-88-3;  8001-35-2;       75-25-2; 79-01-6; 75-69-4; 75-01-4;
    7440-66-6
(CNJO  Contact narae(s): Beaudet/B.A.   ;    Willians/R.E.
(ROR)  Responsible Organization: Office of Water.Office of Water
    Regulations and Standards.Effluent Guidelines Divlsio
                             291

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                             Accession No.   5302000119

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Innovative Technology,  Timber
    Industry Effluent  Guidelines
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model:  Effluents industrial
    process wastewater
CABS)  Abstract/Overview of  Data Base or Model:  Conventional  and
    consent decree priority      pollutants  detected in  samples  of
    influents and   effluents of candidate  innovative treatment
    technologies in the timber industry.
(CTC)  CONTACTS: Subject matter   Bevln A.  Beaudet  (904)372-3318  ;
    EP* Office Richard E. Williams  (202) 382-7186
(DTP)  Type of data collection or monitoring: Point source data
    collection timber industry effluents
(STA)  Data Base status: Operational/ongoing
CGRF)  Groups of substances  represented in  Data  Base: 129  307 CHA  ;11
    conventional water
(NPP)  Non-pollutant parameters Included in the  data base: Collection
    method ;Compliance data  ;Discharge points ^Disposal /   Flow rates
    ;Industry ^Location ^Production levels  /Sampling date  >    Site
    description ^Temperature ;Test/analysis method ^Treatment devices
(DS)  Time period covered by data base: 08-01-79 TO 12-30-80
(TRM)  Termination of data collection: Occurred  12/30/80
(FRQ)  Frequency of data collection or sampling:  as needed
(NOB)  Number of observations in data base:  399.(Actual)
(MEI)  Estimated annual Increase of observations in data base:  266.
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or  sources  covered in data base: 5.
(NCS)  No. stations or sources currently originating/contributing  data:
    3.              -   - .         .     .'•"•'.    •.-.-. •.
(NQF)  Number of facilities  covered in data base (source monitoring):  3.
(GEO)  Geographic coverage of data  base: National
(LOG)  Data elements identifying location of station or source  include:
    State ?City ^Street address ^Coordinates latitude/longitude
(FAC)  Data elements identifying facility Include: Plant facility  name
    ;Plant location ;Street  address ;SIC code >    NPDSS
(CDE)  Pollutant identification data are: Storet parameter
(LIM)  Limitation/variation  In data of which user should be aware: Aetna
    1 facilities sampled uere in  Superior,  Wisconsin,  Duluth,
    Minnesota, and Little     Rock, Arkansas.
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Samplin
    g plan documented ;Collection method documented ^Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods?  YES
(AUD)  Lab Audit: Lab audit  Is satisfactory.
(PRE)  Precision: Precision  and accuracy estimates are  not available
(EOT)  Editting: Edit procedures used but undocumented.
(CSY)  Data collected by: Contractor Environmental Science and
    Engineering, Inc.
(ABY)  Data analyzed by: Contractor lab PML, Battelle Lab/ Analytical
    Research Lab
(IDL)  Laboratory identification; YES


                             292

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                             Accession No.   5302000119     (cont)

(PR1)  Primary purpose of data collection:  evaluation of candidate
    innovative treatment technologies
(AUT)  Authorization for data collection:  Statutory authorization  is P
    L 92-500, Section 304(d)(3)(Clean Hater   Act-CWA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  hard copy of
    data
(NUS)  Number of regular users of data base: 10
(USR)  Current regular users of data base:  EPA headquarter  offices
    Effluent Guidelines Division
(CNF)  Confidentiality of data and limits  on access: Limits on outside
    access for some data
(DLC)  Primary physical location of data:  Contractor
(DST)  Form of data storage: Original form  (hardcopy, readings)
(DAC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file  up-date: Other as needed
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    National Pollutant Discharge  Elimination System (NPDES) Compliance
    Reports.
(CMP)  Completion of form:
    Richard E. Williams
    OFC: EPA/(OWWM)/(OWRS)/(EGD)(WH-552)
    AO: 401 H St., S.tf. Washington, D.C. 20460
    PH: (202)382-7186
(DF)  Date of form completion: 01-13-83
(NMAT)  Number of substances represented in data base: 133
(NCAS)  Number of CAS registry numbers in  data base: 125
(MAT)  Substances represented in data base:
    1,1,l-trichloroethane<7l-55-         2,4-dinitrophenol<51-28-5>
       6>                               2,4-dlnitrotoluene<121~14~2>
    1,1,2,2,-tetrachloroethane          2,6-dinitrotoluene<606-20-2>
       <79-34-5>                         2-chloroethylvinyl ether<110-75-8>
    l,l,2-trichloroethane<79-00-5>       2-chloronaphthalene<91-58-7>
    l,l-dichloroethane<75-34-3>          2-chlorophenol<95-57-8>
    l,l-dichloroethylene<75-35-4>        2-nitrophenol<88-75-5>
    l,2,4,-trichlorobenzene<12Q-82-l>    3,3'-dichlorobenzidine<91-94-l>
    If2-dichlorobenzene<95-50-l>         3,4-benzofluoranthene<205-99-2>
    l,2-dichloroethane<107-06-2>         4,4*-ddd(p,p*tde)
    l,2-dichloropropane<78-87-5>         4,4'-dde(p,p'-ddx)<72-55-9>
    1,2-dichloropropylene<563-54-2>      4,4*-ddt<50-29-3>
    l,2-diphenylhydrazine<122-66-7>      4,6-dlnitro-o-cresol<534-52-l>
    1,2-trans-dichloroethylene           4-bromophenyl phenyl ether
       <156-60-5>                           <101-55-3>
    l,3-dlchlorobenzene<541-73-l>        4-chlorophenyl phenyl ether
    l/4-dichlorobenzene<106-46-7>           <7005-72-3>
    2,4,6-trichlorophenol<88-06-2>       4-nitrophenol<100-02-7>
    2,4,7/8-tetrachlorodibenzo-p-        acenaphthene<83-32-9>
       dioxin (tcdd)                     acenaphthylene<208-96-8>
    2,4-dichlorophenol<120-83-2>         acrolein<107-02-8>
    2,4-diraethylphenol<105-67-9>         acrylonltrile<107-13-l>


                             293

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                         Accession No.  5302000119
                  
anthracene<120-12-7>
antimony<7440-36-0>
arsenic<7440-38-2>
benzene<71-43-2>
benzidine<92-87-5>
benzo(a)anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
ben20(g,h, i)perylene<191-24-2>
benzo(k)fluoranthene<207-08-9>
beryllium<7440-41-7>
bhc (lindane)-gainma<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
bis(2-chloroethoxy)raethane
bis(2-chloroethyl)ether
bis(2-chloi:oisopropyl) ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
   < 11 7- 81 -7 >
bis(chloromethyl)ether<542-88-l>
brorsoffle thane <74-83-9>
butyl benzyl phthalate<85-68-7>
cadiBium<7440-43-9>
carbon tetrachloride<56-23-5>
chlordane<57-74-9>
chlcrobenzene<108-90-7>
chlorodibromoraethane<124-48-l>
chloroethane<75-00-3>
chlcroform<67-66-3>
chlororaethane<74-87-3>
chromiuffl<7440-47-3>
chrysene<218-01-9>
copper<7440-50-8>
di-n-butyl phthalate<84-74-2>
di-r,-octyl phthalate<117-84-0>
dibenzoC a, h) anthracene<53-70-3>
dichlorobroiaomethane<75-27-4>
dichlorodifluoromethane<75-71-8>
dichloromethaue<75-09-2>
dleldrln<60-57-l>
diethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
dissolved solids
endosulfan sulfate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylbenzene<100-41-4>
f luoranthcne<206-44-0>
fluorene<86-73-7>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
hexachlorobutadiene<87-68-3>
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
indeno 
isophorone<78-S9-l>
lead<7439-92-l>
nercury<7439-97-6>
n-nltrosodi-n-propylamine
   <621-64-7>
n-nitrosodiiDethylamine<62-75-9>
n-nitrosodiphenyla»ine<86-30-6>
naphthalene<9l-20-3>
nickel<7440-02-0>
nitrobenzene<98-95-3>
oil and grease
oxygen demand
p-chloro-ro-cresol<59-50-7>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arocblor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorophenol<87-86-5>
Ph
phenanthrene< 85-01- 8>
phenol<108-95-2>
pyrene<129-00-0>
selenium<7782-49-2>
silver<7440-22^4>
suspended solids
tetrachloroe thy lene
thallium<7440-28-0>
toluene<108-88-3>
total phenol
toxaphene<8001-35-2>
tribromoBethane<75-25-2>
trichloroethylene<79-01-6>
trichlorofluororaethane<75-69-4>
                         294

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                             Accession No.   5302000119     (cont)

    vinyl chloride<75-01-4>              zinc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data base: 71-55-6
    ; 79-34-5;  79-00-5;  75-34-3; 75-35-4?       120-82-1; 95-50-1;
    107-06-2;  78-8-7-5; 563-54-2; 122-66-7;  156-60-5;   541-73-1;
    106-46-7;  88-06-2; 120-83-2; 105-67-9|  51-28-5; 121-14-2;
    606-20-2;  110-75-8;  91-58-7; 95-57-8; 88-75-5; 91-94-1; 205-99-2;
    72-55-9;  50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7; 83-32-9;
    208-96-8;  107-02-8;  107-13-1; 309-00-2; 120-12-7; 7440-36-0;
    7440-38-2;  71-43-2;  92-87-5; 56-55-3; 50-32-8; 191-24-2; 207-08-9;
    7440-41-7;  58-89-9;  319-84-6; 319-85-7; 319-86-8; 111-91-1;
    111-44-4;       39638-32-9; 117-81-7; 542-88-1; 74-83-9; 85-68-7;
    7440-43-9;  56-23-5;       57-74-9; 108-90-7; 124-48-1; 75-00-3;
    67-66-3;  74-87-3; 7440-47-3;    218-01-9; 7440-50-8; 84-74-2;
    117-84-0;  53-70-3; 75-27-4; 75-71-8;    75-09-2; 60-57-1; 84-66-2;
    131-11-3;  1031-07-8; 959-98-8; 33213-65-9;      7421-93-4; 72-20-8;
    100-41-4;  206-44-0;  86-73-7; 1024-57-3; 76-44-8;       118-74-1;
    87-68-3;  77-47-4; 67-72-1; 193-39-5; 78-59-1; 7439-92-1;
    7439-97-6;  621-64-7; 62-75-9; 86-30-6;  91-20-3; 7440-02-0; 98-95-3;
    59-50-7;  12674-11-2; 11104-28-2; 11141-16-5; 53469-21-9;
    12672-29-6;       11097-69-1; 11096-82-5; 87-86-5; 85-01-8;
    108-95-2;  129-00-0;     7782-49-2; 7440-22-4; 127-18-4; 7440-28-0;
    108-88-3;  8001-35-2;       75-25-2; 79-01-6; 75-69-4; 75-01-4;
    7440-66-6
(CNM)  Contact  narae(s):  3eaudet,B.A.   ;    Hilliains,R«E.
(ROR)  Responsible Organization: Office of Mater.Office of Water
    Regulations and Standards.Effluent Guidelines Divisio
                             295

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                             Accession No.   5302000120


-------
                             Accession No.   5302000120      (cont)

(DPR)  Data collect./anal,  procedures conform to CRD guidelines:  Samplln
    g plan documented /Collection method documented ^Analysis method
    document QA procedures  documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(EOT)  Editting: No known edit procedures exist.
(CBY)  Cata collected by: Regional office Region VII, Surveillance  and
    Analysis  Division ;  Contractor Environmental Science and
    Engineering/ Inc.
(ABY)  Cata analyzed by:  Contractor Environmental Science and
    Engineering, Inc.
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Development of regulations
    and standards
(ACT)  Authorization for  data collection: Statutory authorization is  P
    L 92-500, Section 301 (Clean Water Act-CWA)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting  forms:
    QQ
(REP)  Form of available  reports and outputs of  data base:  Publications
    EPA 440/1-79/023 bj EPA 440/1-79/0786
    Unpublished reports Summary report of Bat and Pretreatment
    Technology for the Printing and Publishing Point Source Category
    Printouts on request
    Machine-readable raw  data
(NUS)  Number of regular  users of data base: 500
(USR)  Current regular users of data base:  EPA headquarter offices
    Effluent Guidelines Division, Office of  Water Regulations and
    Standards
    EPA laboratories
    Other federal agencies
    concerned industries
(CNF)  Confidentiality of data and Units on access: Halts on outside
    access for some data
(DLC)  Primary physical location of data: Contractor
(DST)  Form of data storage: Magnetic disc ;Data other  than analytical
    is in hard copy
(DAC)  Type of data access: Environmental Science & Engineering Inc.
    Mini Computer Data System ;Harduare: Hewlett Packard 9825 with  a
    Floppy Disc Drive
(CHG)  Direct charge for  non-EPA use: no outside use/access permitted
(CMP)  Completion of fora:
    Richard E. Williams
    OFC: EPA/(OWWM)/(OHRS)/(EGD)(WH-552)
    AD: 401 M St., SH, Washington, D.C.
    PH: (202)382-7186
(DF)  Date of form completion: 01-13-83
(NMAT)  Number of substances represented in data base:  134
(NCAS)  Number of CAS registry numbers in data base: 127
(MAT)  Substances represented in data base:
    l,l,l-trichloroethane<71-55-         l,l,2-trichloroethane<79-00-5>
       6>                                l,l-dichloroethane<75-34-3>
    1,1,2,2,-tetrachloroethane           l,l-dichloroethylene<75-35-4>
       <79-34_5>                         l,2,4,-trichlorobenzene<120-82-l>


                             297

-------
                         Accession No.  5302000120
                                                     (cont)
2-dlchlorobenzene< 95-50- 1>
2-dichloroethane<107-06-2>
2-dichloropropane<78-87-5>
2-dichloropropylene<563-54-2>
2-diphenylhydrazine<122-66-7>
2-trans-dichloroethylene
 <156-60-5>
3-dichlorobenzene<541-73-l>
4-dichlorobenzene<106-46-7>
4,6-trichlorophenol<88-06-2>
4*7,8-tetrachlorodIbenzo-p-
 dioxin (tcdd)
4-dichlorophenol<120-83-2>
4-dimethylphenol<105-67-9>
4-dinitrophenol<51-28-5>
4-dinitrotoluene<121-14-2>
6-dinitrotoluene<606-20-2>
chloroethylvinyl ether<110-75-8>
chloronaphthalene<91-58-7>
chlorophenol<95-57-8>
nitrophenol<88-75-5>
3'-dichlorobenzldine<91-94-l>
4-benzof luoranthene<205-99-2>
4--ddd(pjrp*td€)
4'-dde(p#P<'-ddx)<72-55-9>
If
l,
1,
1^
l,
1,

l,
If
2,
2/

2,
2,
2,
2,
1f
2-
2-
2-
2-
3/
3/
4,
4/
4/-6-dinitro-o-ctesol<534-52-l>
4-broraophenyl phenyl ether
   <101-55-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol< 100-02-7>
acenaphthene<83-32-9>
acenaphthylene<208-96-8>
acrolein< 1 07-0 2- 8>
acrylonltrile<107-13-l>
aldrin<309-00-2>
ant hracene
antiraony<7440-36-0>
ars€nic<7440-38-2>
b€nzene<71-43-2>
benzidine<92-87-5>
benzo(a)anthracene<56-55-3>
benzo( a)pyrene<50-32-8>
ben2o(g,h,i)perylene<19l-24-2>
benzo(k)fluoranthene<207-08-9>
beryllium<7440-41-7>
bhc (lindane)-garDra3<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
bis(2-chloroethoxy)methane
bis(2-chloroethyl)ether
bis(2-chloroisopropyl) ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis
bromoniethane<74-83-9>
butyl benzyl phthalate<85-68-7>
cadffliUB<7440-43-9>
carbon tetrachloride<56-23-5>
chlordane<57-74-9>
chlorobenzene<108-90-7>
chlorodibrononethane<124-48-l>
chloroethane<75-00-3>
chlorof orm<67-66-3>
chloromethane<74-87-3>
chromlura< 7440-47- 3>
chrysene<218-01-9>
copper<7440-50-8>
cyanide<57-12-5>
dl-n-butyl phthalate<84-74-2>
di-u-octyl phthalate<117-84-0>
dibenzo(a,h)anthracene<53-70-3>
dichlorobromomethane<75-27-4>
dichlorodifluoromethane<75-71-8>
dlchloroaethane<75-09-2>
dieldrin<60-57-l>
diethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
dissolved solids
endosulfan sulfate<1031-07-8>
endosulfan-alpha<959-98-8>
end osulfan-beta< 33213-65- 9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylbenzene<100-41-4>
f luoranthene<206-44-0>
f luoreue<86-7 3-7>
heptachlor epoxlde<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
hexachlorobutadiene<87-68-3>
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
Indeno {l,2,3-cd)pyrene<193-39-5>
isophorone<78-59-l>
lead<7439-92-l>
nercury<7439-97-6>
n-nltrosodi-n-propylaralne
   <621-64-7>
                         298

-------
                             Accession No,   5302000120     (cont)

    n-nitrosodifflethylaioine<62-75-9>         <11097-69-l>
    n-nJtrosodiphenylamine<86-30-6>      pcb-1260 (arochlor 1260)
    naphthalene< 91-20-3>                    <11096-82-5>
    nickel<7440-02-0>                    pentachlorophenol<87-86-5>
    nitrobenzene<98-95-3>                ph
    nitrogen<7727-37-9>                   phenanthrene<85-01-8>
    oil and grease                       phenol<108-95-2>
    oxygen demand                        pyrene<129-00-0>
    p-chloro-m-cresol<59-50-7>            seleniura<7782-49-2>
    pcb-1016 (arochlor  1016)              silver<7440-22-4>
       <12674-ll-2>                      suspended solids
    pcb-1221 (arochlor  1221)              tetrachloroethylene<127-18-4>
       <11104-28-2>                      thalllura<7440-28-0>
    pcb-1232 (arochlor  1232)              toluene<108-88-3>
       <1114l-16-5>                      toxaphene<8001-35-2>
    pcb-1242 (arochlor  1242)              tribromoraethane<75-25-2>
       <53469-21-9>                      trichloroethylene<79-01-6>
    pcb-1248 (arochlor  1248)              trichlorofluoromethane<75-69-4>
       <12672-29-6>                      vinyl chloride<75-01-4>
    pcb-1254 (arochlor  1254)              zinc<7440-66-6>
(CAS)  CAS registry numbers of  substances included in data base: 71-55-6
    ; 79-34-5;  79-00-5;  75-34-3; 75-35-4;       120-82-1; 95-50-1;
    107-06-2; 78-87-5;  563-54-2; 122-66-7;  156-60-5;   541-73-1;
    106-46-7; 88-06-2;  120-83-2; 105-67-9;  51-28-5; 121-14-2;
    606-20-2; 110-75-8;  91-58-7; 95-57-8; 88-75-5; 91-94-1; 205-99-2;
    72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7; 83-32-9;
    208-96-8; 107-02-8;  107-13-1; 309-00-2; 120-12-7; 7440-36-0;
    7440-38-2;  71-43-2;  92-87-5; 56-55-3; 50-32-8; 191-24-2; 207-08-9;
    7440-41-7;  58-89-9;  319-84-6; 319-85-7; 319-86-8; 111-91-1;
    111-44-4;      39638-32-9;  117-81-7; 542-88-1; 74-83-9; 85-68-7;
    7440-43-9;  56-23-5;       57-74-9; 108-90-7; 124-48-1; 75-00-3;
    67-66-3; 74-87-3; 7440-47-3;    218-01-9; 7440-50-8; 57-12-5;
    84-74-2; 117-84-0;  53-70-3; 75-27-4;    75-71-8; 75-09-2; 60-57-1;
    84-66-2; 131-11-3;  1031-07-8; 959-98-8;    33213-65-9; 7421-93-4;
    72-20-8; 100-41-4;  206-44-0; 86-73-7;     1024-57-3; 76-44-8;
    118-74-1; 87-68-3;  77-47-4; 67-72-1; 193-39-5;    78-59-1;
    7439-92-1;  7439-97-6; 621-64-7; 62-75-9; 86-30-6; 91-20-3;
    744C-02-0;  98-95-3;  7727-37-9; 59-50-7; 12674-11-2; 11104-28-2;
    11141-16-5; 53469-21-9; 12672-29-6; 11097-69-1; 11096-82-5;
    87-86-5;       85-01-8; 108-95-2; 129-00-0; 7782-49-2; 7440-22-4;
    127-18-4;     7440-28-0;  108-88-3; 8001-35-2; 75-25-2; 79-01-6;
    75-69-4; 75-01-4;   7440-66-6
(CNM)  Contact  name(s):  BeaudetyB.;    Gillespie/T.   ;
    Williams^R.E.
(RQR)  Responsible Organization: Office of Hater.Office of Mater
    Regulations and Standards-Effluent Guidelines Divisio
                             299

-------
                             Accession Ho.   5302000121

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Industry Profile Survey-Pulp/  Paper
    & Paperboard Industry
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model: Other Survey  form profiling
    process and effluent data from  the pulp,    paper and  paperboard
    industry
(ABS)  Abstract/overview of  Data Base  or Model:  Industry  profile  survey
    for the pulp, paper  and paperboard industry includes production
    and   effluent data for  632 operating mills in the  United
    States.
(CTC)  CONTACTS: Subject matter tfillard C.  Barren (207) 775-5401;
    Computer-related Philip  Brown (207)775-5401; EPA Office     Robert
    Dellinger (202)382-7137
(DTP)  Type of data collection or monitoring:  Point source data
    collection pulp, paper and paperboard industry
(STA)  Data Base status: Operational/ongoing
(MPP)  Ion-pollutant parameters included in the data base: Biological
    data ;Chemical data /Compliance data /Cost/economic data  ;
    Discharge points ^Disposal ;Flow rates  ;Location ^Manufacturer  ;
    Physical data yProduction levels ^Sampling date ^Treatment devices
(DS)  Time period covered by data base: 01-01-76 TO 12-30-76
(TRM)  Termination of data collection: Occurred 12/30/78
(FRQ)  Frequency of data collection or sampling: one time only
(NOB)  Number of observations in data  base: 1580.(Estimated)
(NET)  Estimated annual increase of observations in data  base: 0,
(INF)  Data base includes: Summary  aggregate  observations
(NTS)  Total number of stations or  sources  covered in data base:  632.
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(HOP)  Number of facilities  covered in data base (source  monitoring): 63
    2.
(GEO)  Geographic coverage of data  base: National
(LOG)  Data elements identifying location of  station or source include:
    State yCity;Town/township ; Street address
(FAC)  Data elements identifying facility include: Plant  facility name
    ;Plant location ^Parent  corp name  ;Street address
(CDE)  Pollutant identification data are: Uncoded
(LIM)  Lioitation/variation  in data of which  user should  be  aware:  Major
    ity of data covers 1976, but some   data is for other  time periods.
    Some questions on     quality assurance are not applicable.
(ADD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: precision  and accuracy estimates are  not available*
(EOT)  Edittlng: Edit procedures used  and documented.
(CBY)  Data collected by: Contractor E.G. Jordan Co., Inc.
(ABY)  Data analyzed by: Contractor B.C. Jordan Co., Inc.
(PR1)  Primary purpose of data collection:  Development  of regulations
    or standards
(PR2)  Secondary purpose of  data collection:  Technology development
(AUT)  Authorization for data collection: Statutory authorization is  P
    L 92-500, Section 308 (Clean Mater Act-CWA)
(OMB)  Data collected/submitted using  OMB-approved SPA  reporting  forms:


                             300

-------
                             Accession No.   5302000121      (cont)

    QQ
(REP)  Form of available reports and outputs of data base:  printouts
    available on request after resolution of any confidentiality
    claims.
(NUS)  Number of regular users of data base: 2 offices
(USR)  Current regular users of data base:  EPA headquarter  offices
    Effluent Guidelines Division
    B.C. Jordan Company, Inc.
(CNF)  Confidentiality of data and limits on access: Limits on access
    within EPA and outside agency for some   data
(DLC)  Primary physical location of data: Contractor
(DST)  Form of data storage: diskettes
(DAC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: no outside use/access permitted
(UPDT)  Frequency of data base master file  up-date: Other as needed
(CMP)  Completion of fora:
    John C. Tarbell
    OFC: E.c. Jordan Co./ inc.
    AD: Box 7050, Downtown Station Portland/ Maine
    PH: (207) 775-5401
(DF)  Date of form completion: 02-08-83
(NMAT)  Number of substances represented in data base:  3
(MAT)  Substances represented in data base:
    biochemical oxygen demand            chemical oxygen demand (COD)
       (BOD)                             total suspended participates
(CNM)  Contact name(s): Warren,W.C.    ;    Broun,P.  ;    Dellinger/R,
(ROR)  Responsible Organization: Office of  Mater.Office of  Hater
    Regulations and Standards.Effluent Guidelines Divisio
                             301

-------
                             Accession No,   5302000122

(DQ>  Date of Questionalre:  12-02-82
(NAM)  Name of Data Base of  Model:  Screening Sampling Prograa
(ACR)  Acronym of Data Base  or Model: None
CM ED)  $edia/Sub;Ject of Data Base or Model:  Effluents raw waste/  raw
    water, and final effluent from  pulp,,  paper    and paperboard  mills.
(ASS)  Abstract/Overview of  Data Base or  Model:  Sampling program  (three
    day) at 11 pulp,     paper, and paperboard mills analyzing  for  the
    129 consent decree priority pollutants  and 14 additional
    nonconventional pollutants reported present  in   uasteuater  from
    these operations.  Also, production    and conventional  pollutant
    data for the period of the survey.
(GTC)  CONTACTS: Subject matter Willard C.  Warren  (207)775-5401;
    Computer-related Phillip Brown  (207)7?5-5401> EPA Office   Robert
    Dellinger (202)382-7137
(DTP)  Type of data collection or monitoring: Point source data
    collection pulp, paper and paperboard industry,
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in  Data  Bases 129 307 CMA
(NPP)  Son-pollutant parameters included  in the  data base: Biological
    dats ^Chemical data jFlow rates ^Location ^Manufacturer  ;
    Production levels ^Sampling date jSite  description  ;Test/analysis
    method } Treatment devices
(BS)  Time period covered by data base: 09-01-77 fO 01-30-78
(TRM)  Termination of data collection: Occurred  03/30/78
(F.RQ)  Frequency of data collection or sampling: one time only
(NOB)  Kumber of observations in data base:  830,(Actual)
(NED  Estimated annual increase of observations in data base:  0.
(IHF)  Data base includes: Raw data/observations ^Summary aggregate
    observations
(NTS)  Total number of stations or  sources  covered in data base:  11.
(KCS)  No. stations or sources currently  originating/contributing data:
    0.
(SOF)  Wumber of facilities  covered in data base (source monitoring): 11
    * -    -
(GEQ)  Geographic coverage of data  base:  National
(LOC)  Data elements identifying location of station or source  include:
    State jCity ;To«n/township ^Street address
(FAC)  Data elements identifying facility includes Plant facility name
    jPlcnt location ^Parent  corp name ^Street address
(CDE)  Pollutant identification data are: Uncoded
(LIM)  Limitation/variation  in data of uhich user should be  aware:  None
(DPR)  Data collect./anal, procedures conform to ORD guidelines:  Samplin
    g plan documented ;Collection method documented ^Analysis method
    document QA procedures documented
(ASL)  Lab analysis based on EPA-approved or accepted methods?  YES
(AUD}  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision  and accuracy estimates are  not available
(EDT)  Editting: Edit procedures used but undocumented.
(C3Y)  Data collected by: Contractor lab Gulf South Research Institute
    ^Contractor S.C. Jordan  Company, In
(ABY)  Data analyzed by: Contractor lab Gulf South Research  Institute
    Contractor B.C. Jordan Company., Inc.


                             302

-------
                             Accession No.   5302000122
                  (cent)
(IDL)  Laboratory identification:  NO
(PR1)  Primary purpose of data collection:  Development of regulations
    or standards
(AUT)  Authorization for data collection:  Statutory authorization is P
    L 92-500, Section 308 (Clean Water Act-CWA)
(OMB)  Data collected/submitted using QMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Printouts on
    request
(SiUS)  dumber of regular users of data base: 3 offices
(USR)  Current regular users of data base:  EPA headquarter  offices
    Effluent Guidelines Division
    E.C. Jordan
    NCASI (contractor)
(CNF)  Confidentiality of data and limits on access: Limits on access
    within EPA and outside agency for some   data
(DLC)  Primary physical location of datas  Contractor
(DST)  Form of data storage: diskettes
(DAC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: no outside use/access permitted
(CMP)  Completion of form:
    John C. Tarbell
    QFC: E.C. Jordan Co., Inc.
    AD: P.O. Box 7050 Downtown Station Portland, ME
    PH: (207)775-5401
(DF)  Date of form completion: 02-08-83
(NMAT)  Number of substances represented in data base: 141
(NCAS)  Number of CAS registry numbers in data base: 128
(HAT)  Substances represented in data base:
    l,l,l-trichloroethane<71-55-
       6>
    1,1,2, 2,-tetrachloroethane
       <79-34-S>
    1, 1, 2-trichloroethane<79-00-5>
    1,1-dichloroethane<75-34-3>
    l,l~dichloroethylene<75-35-4>
    1*2,4, -trichlorobenzene<120-82-l>
    1,2-dichlorobenzene<95-50-l>
    l,2-dichloroethane<107-06-2>
    l,2-dichloropropane<78-a7-5>
    1,2-dichloropropylene<563-54-2>
    l,2-diphenylhydrazine<122-66-7>
    1,2-trans-dichloroethylene
       <156-60-5>
    l,3-dichlorobenzene<541-73-l>
    1,4-dichlorobenzene<106-46-7>
    2,4,6-trichlorophenol<88-06-2>
    2,4-dichlorophenol<120-83-2>
    2,4-dimethylphenol<105-67-9>
    2,4-dinitrophenol<51-28-5>
    2,4-dinitrotoluene<121-14-2>
    2,6-dinitrotoluene<606-20-2>
2-chloroethylvinyl ether<110-75-8>
2-chloronaphthalene<91-58-7>
2-chlorophenol<95-57-8>
2-nitrophenol<88-75-5>
3,3 *-dichlorobenzidine<91-94-l>
3,4,5-trichlorogualacol
3,4-benzofluoranthene<205-99-2>
4,4*-ddd(p,p*tde)
4,4*-dde(p,p'-ddx)<72-55-9>
4,4*-ddt<50-29-3>
4,6-dinitro-o-cresol<534-52-l>
4-bromophenyl phenyl ether
   <101-55-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
9,10-dichlorostearic
9,10-epoxystearic
abietic
acenaphthene<83-32-9>
acenaphthylene<208-96-8>
acrolein<107-02-8>
acrylonitrile<107-13-l>
                             303

-------
                         Accession No.  5302000122
                  (cent)
aldrin<309-00-2>
anthracene<120-12-7>
antltnony<7 440-36-0>
arsenic<7440-38-2>
asbestos<1332-21-4>
ben2ene<71-43-2>
benzidine<92-87-5>
benzo(a)anthracene<56-55-3>
ben20(a)pyrene<50-32-8>
benzoCg/h, i)perylene<191-24-2>
ben20(k)fluoranthene<207-08-9>
beryll iura<7440-41-7>
bhc (lindane)-ganjiua<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
bis(2-chloroethoxy)aethane
bis(2-chloroethyl)ether
bis (2-chloroisop ropy 1) ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bls(chlororaethyl)ether<542-88-l>
brom<«Bethane<74-83-9>
butyl benzyl phthalate<85-68-7>
cadmiuin<7440-43-9>
carbon tetrachloride<56-23-5>
chlordane<57-74-9>
ch lorobenzene< 108-90-7>
chlorodibromomcthane
chloroethane<75-00-3>
chloroforin<67-66-3>
chlororaeth an e< 74-87- 3>
chromium<7440-47-3>
chrysene<218-01-9>
copper<7440-50-8>
cyanIde<57-12-5>
dehydroabietic
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
dlbenzoCa/ h) anthracene<53-70-3>
dIchlorobrOBonethane<75-27-4>
dichlorodehydroacietic acid
dichlorodifluoroaiethane<75-71-8>
dicfcloroaethane<75-09-2>
dieldrin<60-57-l>
dlethyl phthalate<84-66-2>
dimethyl phthalate<13l-ll-3>
endosulfan sulfate<1031-07^8>
cndosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylbenzene<100-41-4>
f luoranthene<206-44-0>
fluorene<86-73-7>
heptachlor epoxlde<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
hexachlorobutadiene<87-68-3>
hexachlorocyclopentadiene<77-47-4>
hex achloroethane<67-72-l>
indeno (1, 2,3-cd)pyrene<193-39-5>
isophoronc<78-59-l>
isopimaric
lead<7439-92-l>
linoleic
aercury<7439-97-6>
monochlorodehydroabietic
n-nitrosodi-n-propylaroine
   <621-64-7>
n~nitrosodimethylamine<62-75-9>
n-nitrosodiphenylamine<86-30-6>
naphthal«ne<91-20-3>
nlckel<7440-02-0>
ni trobenzene<98-95-3>
oleic
p-chloro-ra-cresol<59-50-7>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-124 2 (arochlor 1242)
   <53469-2l-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorophenol<87-86-5>
phenanthrene< 85-01-8>
phenol<108-95-2>
priraaric
pyrene<129-00-0>
selenium<7782-49-2>
silver<7440-22-4>
tetrachloroethylene<127-18-4>
tetrachloroguaiacol
thallium<7440-28-0>
toluene<108-88-3>
                         304

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                             Accession No.  5302000122     (cont)

    toxaphene<8001-35-2>                 vinyl chloride<75-01-4>
    tribroraoraethane<75-25-2>             xylene<1330-20-7>
    trichloroethylene<79-01-6>           zinc<7440-66-6>
    trichlorof luoro3aethane<75-69-4>
(CAS)  CAS registry numbers of substances included in data base: 71-55-6
    ; 79-34-5; 79-00-5; 75-34-3; 75-35-4;       120-82-1; 95-50-1;
    107-06-2;  78-87-5; 563-54-2; 122-66-7; 156-60-5;   541-73-1;
    106-46-7?  88-06-2; 120-83-2; 105-67-9; 51-28-5; 121-14-2;
    606-20-2;  110-75-8; 91-58-7; 95-57-8; 88-75-5; 91-94-1; 205-99-2;
    72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7; 83-32-9;
    208-96-8;  107-02-8; 107-13-1; 309-00-2; 120-12-7; 7440-36-0;
    7440-38-2; 1332-21-4; 71-43-2; 92-87-5; 56-55-3; 50-32-8; 191-24-2;
    207-08-9;  7440-41-7; 58-89-9; 319-84-6; 319-85-7; 319-86-8;
    111-91-1;       111-44-4; 39638-32-9; 117-81-7; 542-88-1; 74-83-9;
    85-68-7;      7440-43-9; 56-23-5; 57-74-9; 108-90-7; 124-48-1;
    75-00-3; 67-66-3;    74-87-3; 7440-47-3; 218-01-9; 7440-50-8;
    57-12-5; 84-74-2; 117-84-0;       53-70-3; 75-27-4; 75-71-8;
    75-09-2; 60-57-1; 84-66-2; 131-11-3;       1031-07-8; 959-98-8;
    33213-65-9; 7421-93-4; 72-20-8; 100-41-4;   206-44-0; 86-73-7;
    1024-57-3; 76-44-8; 118-74-1; 87-68-3; 77-47-4;    67-72-1;
    193-39-5;  78-59-1; 7439-92-1; 7439-97-6; 621-64-7; 62-75-9;
    86-30-6; 91-20-3; 7440-02-0; 98-95-3; 59-50-7; 12674-11-2;
    11104-28-2; 11141-16-5; 53469-21-9; 12672-29-6; 11097^69-1;
    11096-82-5; 87-86-5; 85-01-8; 108-95-2; 129-00-0; 7782-49-2;
    7440-22-4; 127-18-4; 7440-28-0; 108-88-3; 8001-35-2; 75-25-2;
    79-01-6; 75-69-4; 75-01-4; 1330-20-7; 7440-66-6
(CNM)  Contact narae(s): Warren,k,C.    ;    Broun/P.  ;    Dellinger/R.
(ROR)  Responsible Organization: Office of Hater.Office of Hater
    Regulations and Standards.Effluent Guidelines Divisio
                             305

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                             Accession No.   5302000123

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Kame of Data Base of  Model:  Verification Sampling  Program
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model:  Effluents raw water,  raw
    waste and final effluent of pulp,  paper  and   paperboard  mills*
(ABS)  Abstract/Overview of  Data Base  or Model: Sampling  program  (three
    day) at 60 pulp/     paper and paperboard mills analyzing for 51  of
    the     consent decree priority pollutants found during    the
    screening program and 14 additional nonconventional     pollutants
    reported present in wastenater  from these   operations.   Also,
    production and conventional    pollutant data for the period  of the
    survey.
(CTC)  CONTACTS:  Subject matter Willard C. Warren  (207)775-5401;
    Computer-rlated Philip Brown (207)775-5401; EPA Office     Robert
    Dellinger (202)382-7137
(DTP)  Type of data collection or monitoring: Point source data
    collection pulp, paper and paperboard industry
(STA)  Data Base  status: Operational/ongoing
(GRP)  Groups of  substances  represented in Data Base: 129 307 CWA
(NPP)  Non-pollutant parameters included in  the data base: Biological
    data ;Flow rates ;Location Manufacturer ;Production  levels ;
    Sampling date ;Site description ;Test/analysis method jTreatment
    devices
(DS)  Time period covered by data base: 07-01-78 TO 10-30-79
(TRM)  Termination of data collection: Occurred 02/30/80
(FRQ)  Frequency  of data collection or sampling:  one time only
(NOB)  Number of  observations in data  base:  8000.(Estimated)

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                             Accession No.   5302000123     (cont)

(EOT)  Fditting:  Edit procedures used but undocumented.
(CBY)  Data collected by:  Contractor lab Gulf South Research Institute
    ^Contractor E.C,  Jordan Company, In
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Development of regulations
    or standards
(AUT)  Authorization for data collection: Statutory authorization  is P
    L 92-500,  Section 308 (Clean Water Act-CHA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Printouts on
    request
(NUS)  Number  of  regular users of data base: 3
(USR)  Current regular users of data base:  EPA headquarter  offices
    Effluent Guidelines Division
    E.C. Jordan
    NCASI (contractor)
(CNF)  Confidentiality of data and Units on access: Limits on access
    within CPA and outside agency for some  data
(DLC)  Primary physical location of data: Contractor
(DST)  Form of data storage: diskettes
(DAC)  Type of data access: Manually
(CHG)  Direct  charge for ncn-EPA use: no outside use/access permitted
(UPDT)  Frequency of data base master file up-date: Other as needed
(CMP)  Completion of form:
    John C. Tarbell
    OFC: E.C.  Jordan Company, Inc.
    AD: P.O. Box  7050 Downtown Station Portland/ Paine
    PH: 207-775-5401
(DF)  Date of  form completion: 02-08-83
(NMAT)  Number of substances represented in data base: 63
(NCAS)  Number of CAS registry numbers in data base: 51
(MAT)  Substances represented in data base:
    l,l,l-trichloroethane<71-55-         butyl benzyl phthalate<85-68-7>
       €>                                carbon tetrachloride<56-23-5>
    1,1,2,2.,-tetrachloro ethane           chlorobenzene<108-90-7>
       <79-34-5>                          chlorodibromoiEethane<124-48-l>
    l/l-dichloroethane<75-34-3>          chloroform<67-66-3>
    l,2-dichloroethane<107-06-2>         chlorotnethane<74-87-3>
    2,4/6-trichlorophenol<88-06-2>       chromium<7440-47-3>
    2/4-dichlorophenol<120-83-2>         chrysene<218-01-9>
    2,4-dinitrophenol<51-28-5>           copper<7440-50-8>
    2-chlorophenol<95-57-8>              cyanide<57-12-5>
    3,4,5-trichloroguaiacol              dehydroabietic
    9,lC-dichlorostearic                 di-n-butyl phthalate<84-74-2>
    9/.10-epoxystearic                    di-n-octyl phthalate<117-84-0>
    abietic                              dichlorobromomethane<75-27-4>
    acertaphthy].ene<208-96-8>             dichlorodehydroacietic acid
    anthracene<120-12-7>                 diethyl phthalate<84-66-2>
    benzene<71-43-2>                     ethylbenzene<100-41-4>
    bis(2-ethylhexyl)phthalate           fluoranthene<206-44-0>
           -81-7>                        isophorone<78-59-l>


                             307

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                             Accession No.   5302000123     (cont)

    isopimaric                           pcb-1254 (arochlor 1254)
    lead<7439-92-l>                         <11097-69-l>
    linolelc                             pcb-1260 (arochlor 1260)
    mercury<7439-97-6>                      <11096-82-5>
    fflonochlorodehydroabletic             pentachlorophenol<87-86-5>
    naphthalene<91-20-3>                 phenanthrene<85-01-8>
    nickel<7440-02-0>                    phenol<108-95-2>
    oleic                                priraaric
    pcb-1016 (arochlor 1016)             pyrene<129-00-0>
       <12674-ll-2>                      tetrachloroethylene<127-18-4>
    pcb-1221 (arochlor 1221)             tetrachloroguaiacol
       <11104-28-2>                      toluene<108-88-3>
    pcb-1232 (arochlor 1232)             trlbrowoBethane<75-25-2>
       <11141-16-5>                      trichloroethylene<79-01-6>
    pcb-1242 (arochlor 1242)             trichlorofluoromethane<75-69-4>
       <53469-21-9>                      xylene<1330-20-7>
    pcb-1248 (arochlor 1248)             zlnc<7440-66-6>
       <12672-29-6>
(CAS)  CAS registry numbers of substances Included in data base: 71-55-6
    ; 79-34-5; 75-34-3; 107-06-2; 88-06-2;       120-83-2; 51-28-5;
    95-57-8; 208-96-8; 120-12-7; 71-43-2; 117^-81-7;    85-68-7;
    56-23-5; 108-90-7; 124-48-1; 67-66-3; 74-87-3; 7440-47-3;
    218-01-9; 7440-50-8; 57-12-5; 84-74-2;  117-84-0; 75-27-4; 84-66-2;
   ,100-41-4; 206-44-0; 78-59-1; 7439-92-1; 7439-97-6; 91-20-3;
    7440-02-0; 12674-11-2; 11104-28-2; 11141-16-5; 53469-21-9;
    12672-29-6; 11097-69-1; 11096-82-5; 87-86-5; 85-01-8; 108-95-2;
    129-00-0; 127-18-4; 108-88-3; 75-25-2;  79-01-6; 75-69-4; 1330-20-7;
    7440-66-6
(CUM)  Contact name(s); Marren,W.C.    ;    Brown^P.  ;    Dellinger/.R.
(ROR)  Responsible Organization: Office of Hater.Office of Water
    Regulations and Standards.Effluent Guidelines Divisio
                             308

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                             Accession Ho.   5302000124

(DQ)  Date of Questioaaire:  12-02-82
(NAM)  Name of Data Base of Model:  Discharge Monitoring Report Data
(ACR)  Acronym of Data Base or Model:  DMR DATA
(MED)  Media/Subject of Data Base or Model:  Effluents final effluent
    data-pulp/ paper/ and paperboard industry
(ABS)  Abstract/Overview of Data Base  or Model:  Discharge monitoring
    report data fron   approximately 370 pulp/ paper/ and paperboard
    mills.  Data basically covers period fron 7/77    to approximately
    3/81.
(CTC)  CONTACTS: Subject matter Willard C.  Warren (207) 775-5401;
    Computer-related Philip Brown (207)775-5401; EPA Office    Robert
    Dellinger (202)382-7137
(DTP)  type of data collection or monitoring: Point source data
    collection pulp/ paper/ and paperboard mills
(STA)  Data Base status: Operational/ongoing

    Manufacturer ;Production levels ;Sampling date
(DS)  Time period covered by data base: 07-01-77 to 03-31-81
(TRM)  Termination of data collection: Occurred 06-30-81
(FRQ)  Frequency of data collection or sampling: one tine only
(ROB)  Number of observations in data  base:  30000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: 0.
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources covered in data base:  370.
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(NOF)  Number of facilities covered in data base (source monitoring): 37
    0.
(GEO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source include:
    State /City ;Town/township
(FAC)  Data elements identifying facility Includes Plant facility naae
    ;Plsnt location ;NPDES
(CDS)  Pollutant identification data are: Oncoded
(HM)  Limitation/variation in data of which user should be aware: Time
    period covered varies for each mill     and some specific
    parameters are not available at some mills.   Lab performance
    quality unknown.
(ANL)  Lab analysis based on EPA-approved or accepted methods? NO
(AUD)  Lab Audit: Data not based on lab analysis.
(PRS)  Precision: Precision and accuracy estimates are not available
(BDT)  Editting: Edit procedures used  but undocumented.
(CBY)  Data collected by: Self reporting ;State agency ME/ NH/ CT/ ¥T/
    NY/    DE/ TN/ MS/ AL/ HC/ IN, IL/ MI/ KS/ I A, CA/ VA/ SC/ 6A/ HI,
    OH/ MN; #     Regional office Region I/ II/ III/ IV/ VI/ VIII/ IX/
    X;#     Contractor E.C. Jordan Company/ Inc.
(ABY)  Data analyzed by: Contractor E.C. Jordan Company/ Inc.
(IDL)  Laboratory identification: NO
(AOT)  Authorization for data collection: Statutory authorization is P
    L 92-500/ Section 308 (Clean Water Act-CHA)


                             309

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                             Accession No.  5302000124     (cont)
:V
 (OMB)  Data collected/submitted using QMS-approved SPA reporting forms:
    QQ
 (REP)  Form of available reports and outputs of data base: Printouts on
    request
 (NUS)  Number of regular users of data base: 3 offices
 (USR)  Current regular users of data base: EPA headquarter offices
    Effluent Guidelines Division
    E.C. Jordan
    NCASI  (Contractor)
 (CNF)  Confidentiality of data and limits on access: No limits on
    access to data
 (DLC)  Primary physical location of data: Contractor
 (DST)  Form of data storage: diskettes
 (DAC)  type of data access: Manually
 (CHG)  Direct charge for non-EPA use: no outside use/access permitted
 (CMP}  Completion of form:
    John C. Tarbell
    OFC: E.C. Jordan Company/ Inc.
    AD: P.O. Box 7050 Downtoun Station Portland, HE
    PH: (207) 775-5401
 (DF)  Date of form completion: 02-08-83
 (NMAT)  Number of substances represented in data base: 2
 (MAT)  Substances represented in data base:
    biochemical oxygen demand            total suspended solids (TSS)
       (BOD)
 (CNM)  Contact name(s): Warren,W.C.    ;    Brokn,P.  }    Dellinger^R.
 (RQR)  Responsible Organization: Office of Hater.Office of Water
    Regulations and Standards.Effluent Guidelines Divisio
                             310

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                             Accession Ho.   5302000125

(DQ)  Date of Questionaire:  12-02-82
(NAM)   Name of Data Base of  Model:  Long Term Conventional  Pollutant
    Data
(ACR)   Acronym of Data Base  or Model:  None
(MED)   Media/Subject of Data Base or Model:  Effluents  raw  waste  and
    final effluent from pulp, paper, and paperboard mills
(ASS)   Abstract/Overviea of  Data Base  or Models  13  months  of  daily
    production and wastewater  monitoring data from 55  pulp/  paper,  and
    paperboard mills.   Data  includes ray uasteuater and final effluent
    streams.     Conventional pollutants included in the data  base are
    biochemical oxygen demand (BQD5),  total  suspended  solids     (TSS),
    and pH.  Flow data is also included*
   CONTACTS: Subject matter Willard C. Barren (207) 775-5401;
    Computer-related Philip  Brown (207)775-5401; EPA Office    Robert
    Dellinger (202)382-7137
(DTP)   Type of data collection or monitoring: Point source data
    collection pulp, paper,  and paperboard mills
(STA)   Data Base status: Operational/ongoing
(NPP)   Non-pollutant parameters included in  the data base: Biological
    data ;Flow rates ^Industry ^Location ^Manufacturer  ;  Production
    levels
(DS)  Time period covered by data base: 06-01-76 TO 01-30-79
(?RM)   Termination of data collection: Occurred 03/30/80
(FRQ)   Frequency of data collection or sampling: one time  only
(NOB)   Number of observations in data  base:  180000.(Estimated)
(INF)   Cata base includes: Raw data/observations ;Summary  aggregate
    observations
(UTS)   Total number of stations or sources covered  in  data base:  55.
(NCS)   No. stations or sources currently originating/contributing data:
    0.
(NGF)   lumber of facilities covered in data  base (source monitoring):  55
    *
(GBO)   Geographic coverage of data base: National
(LOC)   Data elements identifying location of station or source include:
    State /City ;fown/township
(CDE)   Pollutant identification data  are: Uncoded
(LiM)   Limitation/variation in data of which user should be  aware: Daily
    data is not available for all 55   mills  and the parameters included
    are not    necessarily the same from one location  to another.
(AHL)   Lab analysis based on SPA-approved or accepted  methods? NO
(AUD)   Lab Audit: Data not based on lab analysis.
(PRE)   Precision: Precision and accuracy estimates  are not available
(EDf)   Editting: Edit procedures used  but undocumented.
(CBY)   Data collected by: Self reporting ^Contractor S.C.  Jordan
    Company, Inc.
(A8¥)   Data analyzed by; Self reporting
(IOL)   Laboratory identification: NO
(AUT)   Authorization for data collection: Statutory authorization  is P
    L 92-500, Section 308 (Clean Water Act-C«A)
(OMB)   Data collected/submitted using  OMB-approved  EPA reporting forms:
    QQ
(REP)   Form of available reports and  outputs of data base: Printouts on


                             311

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                             Accession No.   5302000125      (cont)

    request
    some data is confidential
(NUS)  Number of regular users of data base:  2 offices
(USR)  Current regular users of data base:  EPA headquarter offices
    Effluent Guidelines Division
    E.C. Jordan Co.* Inc.
(CNF)  Confidentiality of data and limits on access:  Lieits on access
    within EPA and outside agency for some   data
(DLC)  Primary physical location of data: Contractor
(DST)  Form of data storage: diskettes
(DAC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: no outside use/access permitted
(UPDT)  Frequency of data base master file  up-date:  Other as needed
(CMP)  Completion of form:
    John C. Tarbell
    OFC: E*C* Jordan Company/ Inc.
    AD: P.O. Box 7050* Downtown Station Portland/ Kaine
    PH: (207) 775-5401
(DP)  Date of form completion: 02-08-83
(NMAT)  Number of substances represented in data base:  5
(MAT)  Substances represented in data base:
    ph                                   color
    biochemical oxygen demand (BOD)      total suspended solids (TSS)
    chemical oxygen demand (COD)
(CNM)  Contact name(s): Uarren/H.C.    ;    Broun/P.   }    Dellinger/R.
(ROR)  Responsible Organization: Office of  Hater.Office of Hater
    Regulations and Standards.Effluent Guidelines Divisio
                             312

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                             Accession No.   5303000101

81ood ^Drinking water ^Effluents  municipal and Industrie Ground
    Hater ;Runoff all types  /Sediment  /Soil  ;Solid waste ;     Surface
    aater all types ;Tissue  fish and some others
(ABS)  Abstract/Overview of  Data Base  or Model: Computerized data base
    for storing and retrieving parametric data pertaining to the
    quality of U.S. waterways.  Contains numerous subfiles  including
    geographic and descriptive station data/ physical and chemical
    water/ fish tissue and sediment parametric data, stream flow
    data/ and municipal waste source and disposal data.  Collects
    data from/ and provides  data to/ multiple federal/  state and
    local users.   Software includes statistical analysis and graphic
    capabilities.
(CTC)  CONTACTS:  Subject matter   Charles S. Conger  (202)  382-7220
    /     Computer-related    Charles  S. Conger  (202)  382-7220  ;  EPA
    Office  Monitoring and Data Support Division  {202) 426-7764
(DTP)  Type of data collection or monitoring; Combination/Other all
    types of data collection and station  descriptions
(STA)  Data Base  status: Operational/ongoing
(NPP)  Non-pollutant parameters included in  the data base:  Biological
    data ;Chemical data ^Collection method ;Compliance  data ;
    Concentration measures /Discharge  points ;Disposal  ;Exposure  data ;
    Flow rates )Geographic subdivision ,?Health effects  ;Industry  ;
    Inspection data /Location /Physical data ^Political subdivisions /
    Precipitation ;Salinity  ;Sampling  date ;Site description
    ;Ten;perature  ;    Test/analysis method ;Treatnent devices
    ;Volume/mass  measures ;   Wind direction  >Wind velocity
(DS)  Time period covered by data base: 01-01-00 TO PRESENT
(TRH)  Termination of data collection: Not anticipated
(FRQ)  Frequency  of data collection or sampling: one time only ;less
    than hourly-minute ^hourly ,;daily  ;weekly ;   monthly ;quarterly
    jseod annually ;annually ;as needed
(NOB)  Number of  observations in data  base:  79000000.(Actual)
(NEI)  Estimated  annual increase of observations in data base: 12000000.
(INF)  Data base  includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources covered in data  base:  680000.
(NCS)  No. stations or sources currently originating/contributing data:
    300000.
(NOT)  Number of  facilities  covered in data  base (source monitoring): 60
    000.
(GSO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source include:
    State ^County ;SMSA ^Coordinates latitude/longitude
(FAC)  Data elements identifying facility include: Plant facility name
    /Plant location jparent corp name  jStreet address ;     SIC code
    ;Dun Bradstreet ;N?DES ;street address:   some ;DUN:  partial  ;
    NPDES:  partial
(CDE)  Pollutant  identification data are: Storet parameter


                             313

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                             Accession No.   5303000101      (cont)

    CAS registry number
(LIH)  Limitation/variation in data of which user should  be aware:  Locat
    ion and data are highly variable in     coverage  and  frequency.
    sampling plan and quality     assurance procedures  vary by
    originator of data*
(DPR)  Data collect./anal,  procedures conform to GRD  guidelines: ORO
    Guide]ines
(ANL)  Lab  analysis based on EPA-approved or accepted methods?  YES
(AUD)  Lab  Audit: Lab audit is satisfactory for 20.
(PRE)  Precision: Precision and accuracy estiaates partially exist  for
    variable/ less than    5% have precision and accuracy stored in
    STQRET.
(EOT)  Edittlng: Edit procedures used and documented.
(C6Y)  Data collected by: Self reporting ;Local agency  Lakes Region 208
    Planning Commission /    Local agency City of Minneapolis-St. Paul
    ;Local  agency Montgomery County Department of Environment Resources
    ;Local  agency Fairfax County Government-Lower Potomac  Treatment
    Plant ;Local agency Allegheny County Health Department ;   Local
    agency  Prince Georges County Health Department ;Local agency City
    of Philadelphia Water Depar Local agency 208 Agency,  Atlanta ;Local
    agency  West Alabama Planning and Land Development Council ;Local
    agency  Northeast Illinois Planning Commission ;   Local agency  City
    of Chicago Metro Sanitary District ;Local agency  City of Cleveland
    ;    Local agency Denver Region Council of Governments ;Local
    agency  Pueblo Region Planning Commission ; Local  agency Boulder
    City-County /Local agency Pikes Peak Area of Government ;  Local
    agency  LA County Flood Control District ;Local agency Grange County
    Health  Department y  Local agency Grange County Flood Control
    ;State  agency Department of Hater Resources ;    State agency
    Health  Departments ;State agency Department of Inland Fisheries and
    Wildlife ;    State agency Department of Human Services ;State
    agency  Water Supply and Pollution Control Coramissi  state agency
    Department of Environmental Conservation ;State  agency Delaware
    River Basin Commission state agency Water Control Board ;State
    agency  Department of Natural Resources ;     State  agency Office of
    Surface Mining >State agency Department of Health and Environmental
    Control  state agency Department of Public Health ;State agency Air
    and Mater Pollution Control Commission ; State agency Department of
    Parks and Wildlife ;State agency Department of Agriculture      in
    the states of Vermont/ Maine/ New Hampshire/ Mass./ Hew York/ New
    Jersey/ Pennsylvania/ West Virginia/ Virginia/ Maryland/
    Delaware/ Alabama/ Kentucky/ Tennessee/ Georgia/  South  Carolina/
    North Carolina/ Mississippi/ Flor Minnesota/ kisconsin, Indiana/
    Ohio/ Michigan/ Arkansas/  Texas/ Louisana/ Oklahoma/ New Mexico/
    Ne Kansas/ Iowa/ Colorado/ South Dakota/ Montana/ Utah/  Wyoming/
    North Dakota/ Nevada/ California/ Ar Idaho/ Oregon/ Alaska/
    ;Regional office I/ II, III/ IV/ V/ VI, VII, vIII/  IX, X ;    EPA
    lab Environmental Research Laboratory-Narragansett/ RI ;EPA lab
    Environmental Research Laborato EPA lab Environmental Research
    Laboratory-Gulf Breeze/ FL ;EPA lab Environmental Research
    Laborator lie/ MI ;EPA lab Environmental Monitoring Systems
    Laboratory-Las Vegas/ NV ;Contractor lab ;Contractor universities


                             314

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                             Accession No.   5303000101
(cont)
    ;Contractor ADL and other  companies >  Other  federal agency
    National Oceanic and Atmospheric   Administration  (NOAA) ;  Other
    federal agency US Corps of Engineers >0ther  federal agency US
    Geological Survey (USGS) ; Other  federal  agency federal Highway
    Administration ;Qther federal  agency Tennessee Valley  Author it
    Other federal agency US Department of  Health  and  Hunan Services
    (HH£) ;   Other federal agency US Air  Force  (USAF) ;0ther  federal
    agency US Department of Agriculture (USDA)  Other federal  agency US
    Bureau of Reclamation ;Qther  federal agency US Department  of the
    Array ;     Other federal agency US Forest Service ;EPA headquarters
    Office of Enforcement/National Enforcement Investigations  Center
    (NEIC) ;EPA headquarters Office of Hater  and  Haste
    Management/Monitoring and  Data Support Division jEPA headquarters
    Office of Hater and Haste     Management/Effluent  Guidelines  Division
(ABY)  Data analyzed by: Self  reporting
    Local agency Lakes Region  208  Planning Commission
    Local agency City of Minneapolis-St. Paul
    Local agency Montgomery County Department of  Environmental
    Resources
    Local agency Fairfax County Government-Lower  Potomac   Treatment
    Plant
    Local agency Allegheny County  Health Department
    Local agency Prince Georges County Health Department
    Local agency City of Philadelphia Mater Department
    Local agency 208 Agency, Atlanta
    Local agency Kest Alabama  Planning and Land  Development    Council
    Local agency Northeast Illinois Planning  Commission
    Local agency City of Chicago Metro Sanitary  District
    Local agency City of Cleveland
    Local agency Denver Region Council of  Governments
    Local agency Pueblo Region Planning Commission
    Local agency Boulder City-County
    Local agency Pikes Peak Area of Government
    Local agency LA County Flood Control District
    Local agency Grange county Health Department
    Local agency Orange County Flood  Control
    State agency Department of Water  Resources
    State agency Health Departments
    State agency Department of Inland Fisheries  and Wildlife
    State agency Department of Human  Services
    State agency Water Supply  and Pollution  Control Commission
    State agency Department of Environmental  Conservation
    State agency Delaware River Basin Commission
    State agency Water Control Board
    State agency Department of Natural Resources
    State agency Office of Surface Mining
    State agency Department of Health and  Environmental Control
    State agency Department of Public Health
    State agency Air and Water Pollution Control  Commission
    State agency Department of Parks  and Wildlife
    State agency Department of Agriculture in the states  of Vermont/
    Maine, New Hampshire/ Mass,/ New York/ New Jersey/ Pennsylvania/
                             315

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                             Accession No.   5303000101     (cont)

    West Virginia, Virginia, Maryland,     Delaware, Alabama, Kentucky,
    Tennessee, Georgia, South Carolina, North Carolina, Mississippi,
    Florida, Illinois,   Minnesota, Wisconsin, Indiana, Ohio, Michigan,
    Arkansas,    Texas, Louisana, Oklahoma, Hew Mexico, Nebraska,
    Missouri,  Kansas, Iowa, Colorado, South Dakota, Montana, Utah,
    Wyoming, North Dakota, Nevada, California, Arizona, Washington,
    Idaho, Oregon, Alaska,
    Regional office I, II, III, IV, V, VI,  VII, VIII, IX, X
    EPA lab Environmental Research Laboratory-Narragansett, RI
    EPA lab Environmental Research Laboratory-Athens, GA
    EPA lab Environmental Research Laboratory-Gulf Breeze, FL
    EPA lab Environmental Research Laboratory-Duluth, MH-Grosse
    He, MI
    EPA lab Environmental Monitoring Systems Laboratory-Las    Vegas,
    SV
    Contractor lab
    Contractor universities
    Contractor ADL and other companies
    Other federal agency National Oceanic and Atmospheric
    Administration (S40AA)
    Other federal agency US Corps of Engineers
    Other federal agency DS Geological Survey (USGS)
    Other federal agency Federal Highjuay Adnlnlstratlon
    Other federal agency Tennessee Valley Authority (TVA)
    Other federal agency US Department of Health and Human     Services
    (HHS)
    Other federal agency US Air Force (USAF)
    Other federal agency US Department of Agriculture (USDA)
    Other federal agency US Bureau of Reclamation
    Other federal agency US department of the Army
    Other federal agency US Forest Service
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Development of regulations
    or standards
(PR2)  Secondary purpose of data collection: Anticipatory/research
(AUT)  Authorization for data collection: Statutory authorization is P
    L 84-660 (Federal Water Pollution Control Act  of 1965-FWPCA); P L
    92-500 as amended (Clean Water Act-CWA)
(OMB)  Data collected/submitted using QMS-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Printouts on
    request
    Microfilm
    Machine-readable raw data
    On-line computer
(NUS)  Number of regular users of data base: 875
(tTSR)  Current regular users of data base:  EPA headquarter offices
    Office of Hater and Waste Management,    Office of Research and
    Development, Office of Planning and Management,     Office of
    Enforcement, Office of Pesticides and Toxic Substances.
    EPA regional offices
    EPA laboratories


                             316

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                             Accession No.   5303000101
                              (cont)
    Other federal agencies
    States
(CNF)  Confidentiality of data and Units on access: Limits on access
    within EPA and outside agency for some  data
(DLC)  Primary physical location of data: NCC/IBM
(DST)  Form of data storage:  Magnetic disc
(DAC)  Type of data access: EPA software STORE? (Storage  Retrieval of
    Water Quality  Data)  MIDS: 5303000101 SPA hardware IBM 370/168
(CHG)  Birect charge for non-EPA use: yes
(OPDT)  Frequency of data base master file up-date:  Weekly
(RSS)  Related EPA automated systems which use data  base:  Regional &
    state and U.S. Geological    Survey systems; Reach File (locator/
    site file)
(RD8EPA)  Related EPA data bases used in conjunction with  this data base
    Regional & state, U.S. Geological  Survey, U.S.  Forest Service data
    bases; Basic Hater    Monitoring Core Stations (D 5303 0001 02);
    Industrial  Facilities Discharge (IFD) File (D 5303 0001 05);
    National Hater Quality Surveillance System (NUQSS)     (D 5303 0001
    03); Fish Kills (D 5303 0001 06); Toxic   Pollutants in Influents
    (D 5303 0001 04)
(CMP)  Completion of form:
    Charles S. Conger
    OFC: EPA/(0«WM)/(OWRS)/(MDSD)
    AD: 401 M St., S.W. Washington, D.C. 20460
    PH: (202) 426-7792
(DF)  Date of form completion: 01-21-83
(NHAT)  Number of substances represented in data base: 356
(NCAS)  Number of CAS registry numbers in data base: 336
(MAT)  Substances represented in data base:
                                         1,2-trans-dlchlbroethylene
    *0, 0-diethyl phosphoricacid,0-p-
       nitrophenyl ester<311-45-5>
    1, 1,1, 2- te tr achloroe thane
       <630-20-6>
    1, l,l-trichloroethane<71-55-6>
    1,1,2,2,-tetrachloroethane
       <79-34-5>
    l,l,2-trichloroethane<79-00-5>
    l,l,2-trichloroethene<79-Ol-6>
    l,l-dichloroethane<75-34-3>
    l,l-dichloroethylene<75-35-4>
    l,l-diraethylhydrazine<57-14-7>
    l,2,4,-trichlorobenzene<120-82-l>
    1,2,4,5-tetrachlorobenzene
       <95-94-3>
    l,2-dibromoethane<106-93-4>
    l,2-dichlorobenzene<95-50-l>
    l,2-dichloroethane<107-06-2>
    1, 2-dichloropropane<78-87-5>
    l,2-dichloropropylene<563-54-2>
    1, 2-dlphenylhydr az ine< 122-66-7>
    l,2-propanediol<57-55-6>
               <156-60-5>
            1,3,4 trichlorobenzene<120-82-l>
            1, 3-dichlorobenzene<54l-73-l>
            l,3-dichloropropene<542-75-6>
            l,4-dlchlorobenzene<106-46-7>
            l,4~dioxane<123-91-l>
            2,3,4,6-tetrachlorophenol<58-90-2>
            2,4,5-t amines
            2,4,5-t esters
            2,4,5-t salts
            2,4,5-trichlorophenol<95-95-4>
            2,4,5-trichlorophenoxyacetic acid
               (T)<93-76-5>
            2,4,5-trichlorophenoxypropionic
               acid (TP)<93-72-l>
            2,4,6-trichlorophenol<88-06-2>
            2,4,7,8-tetrachlorodibefj20-p-
               dioxin (tcdd)
            2,4-d acid<94-75-7>
            2,4-d esters
            2, 4-dichlorophenol< 120- 83-2>
            2,4-diEethylphenoK105-67-9>
317

-------
                         Accession No.  5303000101
                  (cont)
2,4-dinitrophenol<51-28-5>
2,4-dinitrotoluene<121-14-2>
2,6-dichlorophenoK87-65-Q>
2,6-dinitrotoluene<606-20-2>
2-chloroethylvinyl ether<110-75-8>
2-nitrophenol<88-75-5>
2-nitropropane<79-46-9>
2-picoline<109-06-9>
2-sec butyl-4,6-dinitrophenol
   <88-85-7>
3,3*~dichlorobenzidine<91~94-l>
3,4-benzofluoranthene<205-99-2>
4,4*-ddd(p,p*tde)
4,4--dde(p,pi'-ddx)<72-55-9>
4,4'-ddt<50-29-3>
4,6-dtnitro-o-cresol<534-52-l>
4-bromophenyl phenyl ether
   <101-55-3>
4-nltrophenol<100-02-7>
acenaphthene<83-32-9>
acenaphthylene<208-96-8>
acetaldehyde<75-07-0>
acetic acid<64-19-7>
acetic anhydride<108-24-7>
acetone<67-64-l>
acetonitrile<75-05-8>
acetophenone<98-86-2>
acidity
acrolein<107-02-8>
acrylonitrile
adipic acid<124-04-9>
alachlor<15972-60-8>
aldrin<309-00-2>
alkalinity
aluroinum<7429-90-5>
ainiEonia<7664-41-7>
aniline<62-53-3>
anthracene<120-12-7>
antinony<7440-36-0>
arsenic<7440-38-2>
asbestos<1332-21-4>
atrazine<1912-24-9>
banvel-d<1918-00-9>
barium 140<14798-08-4>
bariuin<7440-39-3>
benefin<1861-40-l>
benzene<71-43-2>
ben2idine<92-87-5>
ben?o(a)anthracene<56-55-3>
ben2o(a)pyrene<50-32-8>
bei\2Q(.qfhf i)perylene<191-24-2>
benzo(k)fluoranthene<207-08-9>
benzole acid<65-85-0>
benzonitrile<100-47-0>
benzotrichlorlde<98-07-7>
beryllium<7440-41»7>
bhc (lindane)-gaiama
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319~86-8>
biphenyl<92-52-4>
b is (2~chloroethoxy) methane
bis(2-chloroethyl)e ther
b Is (2-chloroisopropyl) ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
   <117-81-7>
bis(chloroiaethyl)ether<542-88-l>
bismuth compounds<7440-69-9>
boron conpounds<7440-42-8>
bromine<7726-95-6>
bromobenzene< 108-86-1 >
bromodichloromethane<75-27-4>
broraomethane<74-83-9>
butachloc<23184-66-9>
butyl ac«tate<123-86-4>
butyl benzyl phthalate<85-68-7>
butyric acid<107-92-6>
cadffliuni<7440-43-9>
calcium chromata<13765-19-0>
captan<133-06-2>
carbaryl<63-25-2>
carbofuran
carbon 14<14762-75-5>
carbon disulfide<75-15-0>
carbon tetrachloride<56-23-5>
cesium 137<10045-97-3>
chloral<75«87-6>
chlordane<57-74-9>
chloroforn»<67-66-3>
chloroprene<126-99-8>
chlorpyrifos<2921-88-2>
chromiuni<7440-47-3>
chrysene<218-01-9>
cis-l,2-dichtoroethylene<156-59-2>
cobalt<7440-48-4>
copper<7440-50-8>
coumaphos<56-72-4>
cresol<1319-77-3>
cresylic acid<1319-77-3>
crotonaldehyde<4170-30-3>
cumene<96-82-8>
cyanazlne<217 25-46-2>
                         318

-------
                         Accession No.  5303000101
                  (cont)
cyani<3e<57-12-5>
cyanogen chlorlde<506-77-4>
cyclohexane<110-82-7>
cyclohexanone<108-94-l>
ddt
demeton<8065-48-3>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
di-n-propylnitrosaraine<621-64-7>
diazinon<333-41-5>
dibenzofuran<132-64-9>
dlbromochloromethane<124-48-l>
dibromomethane<74-95-3>
dibutyl phthalate<84-74-2>
dicamba<1918-00-9>
dichlone<117-80-6>
dichlorobenzene<2532l-22-6>
dichlorobroiDomethane<75-27-4>
dichlorodifluoromethane<75-71-8>
dichloroiodomethane<594-04-7>
dicMororaethane<75-09-2>
dichlorvos (ddvp)<62-73-7>
dieldrin<60-57-l>
diethyl phthalate<84-66-2>
diethylamlne<109-39-7>
dimethoate<60-51-5>
dimethyl phthalate<131-ll-3>
dimethylainine<124-40-3>
dimethylnitrosamine<62-75-9>
dioxane<123-91-l>
dissolved oxygen
dissolved solids
disulfoton<298-04-4>
diuron<330-54-l>
endosulfan sulfate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endosulfari<115-29-7>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
epichlorohydrin<106-89-8>
ethion<563-12-2>
ethyl acetate<141-78-6>
ethyl chloride<75-00-3>
ethyl ether<60-29-7>
ethyl parathion<56-38-2>
ethylbenzene<100-4l-4>
ethylcyanide<107-12-0>
ethylerie dibroraide (edb)<106-93-4>
ethylene dichloride<107-06-2>
ethylene oxide<75-21-8>
fecal coliform
ferrous stilfate<7720-78-7>
fluoranthene<206-44-0>
£luorene<86-73-7>
fluorides
fluorotrichloromethane<75-69-4>
formaldehyde<50-00-0>
formic acid<64-18-6>
furfural<98-01-l>
gross alpha
guthion<8€-50-0>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
hexachlorobutadiene<8*7-68-3>
hexachlorocycloheKane<58-89-9>
hexachlorocyclopentadiene<77-47-4>
hexachlotoethane<67-72-l>
hydrazine<302-01-2>
hydrocyanic acid<74-90-8>
hydrogen cyanide<74-90-8>
hydrogen suitide<7783-06-4>
hydroxydinethy1 arsine oxide
   <75-60-5>
indeno (ly2/3-cd)pyrene<193-39-5>
iodine 129<15046-84-l>
iodine 131<10043-66-0>
iodoraethane<74-88-4>
lron<7439-89-6>
isobutyl alcohol<78-83-l>
isophorone<78-59-l>
kelthane<115-32-2>
kepone<143-50-0>
lead<7439-92-l>
lindane<58-89-9>
lithium and conpounds<7439-93-2>
ra-cresol<108-39-4>
m-xylene<108-38-3>
malathion<121-75-5>
manganese<7439-96-5>
mercury<7439-97-6>
methanethiol<74-93-l>
raethanol<67-56-l>
methomyl<16752-77-5>
methoxychlor<72-43-5>
methyacrylonitrile<126-98-7>
methyl chloroform<71-55-6>
methyl ethyl ketone (mek)<78-93-3>
methyl iodide<74-88-4>
methyl Isobutyl ketone<108-lO-l>
methyl mercaptan<74-93-l>
methyl methacrylate<80-62-6>
methyl parathion<298-00-0>
                         319

-------
                         Accession Ho.  5303000101
                  (cont)
mevinphos<7786-34-7>
mirex<2385-85-5>
no lybdenun and compounds
   <7 439-9 8-7>
raonoethylamine<75-04-7>
HK>nomethylainine<74-89-5>
n-butyl alcohol<71-36-3>
n-butyl phthalate<84-74-2>
n-nitrosodi-n-propylaraine
   <621-64-7>
n-nitrosodiraethylainine<62-75-9>
n-nitrosodiphenylaraine<86-30-6>
n-propylamine<107-10-8>
naphthalene< 91-20-3>
nickel<7440-02-0>
nicotine and salts<54-ll-5>
nitrate<14797-55-8>
nitrates/nitrites
nitrobenzene<98-95-3>
nitrogen<7727-37-9>
nitroglycerine<55-63-0>
o-cr«sol<95-48-7>
o-methoxyphenol<90-05-l>
o-xylene<95~47-6>
oil and grease
oxygen demand
p-cresol<106-44-5>
p-dichlorobenzene<106-46-7>
p-xylene<106-42-3>
PH
paraldehyde< 123-63-7>
parathion<56-38-2>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221J
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorobenzene<608-93-5>
pen tachloroethane< 76-0 l-7>
pentachloronitrobenzene (PCI9B)
   <82-68-8>
pentachlorophenol<87-86-5>
perchloroethylene< 127-1 8-4>
perthane<72-56-0>
phenanthrene<85-01-8>
phenol<108-95-2>
phenylacetic acld<103-82-2>
phorate<298-02-2>
phosphor«s<7723-14-0>
phthallc acid<88-99-3>
phthalic anhydride<85-44-9>
plutoniua 238<13981-16-3>
plutoniua 239<15117-48-3>
polybrorainated biphenyls (PBBs)
polychlorinated biphenyls (PCBs)
potassiuo<7440-09-7>
propachlor<1918-16-7>
propanil<709-98-8>
propargite<2312-35-8>
propionic acld<79-09-4>
propionitrile<107-12-0>
proplyene oxide<75-56-9>
pyrene<129-00-0>
pyridine<110-86-l>
quinoline<91-22-5>
radium 226<13982-63-3>
radium 228<15262-20-1>
resorcinol<108-46-3>
ronnel<299-84-3>
sfs,s-tributyl phosphorotrithioate
   <78-48-8>
saccharin<81-07-2>
safrole<94-59-7>
seleniuo<7782-49-2>
silver<7440-22-4>
silvex<93-72-l>
simazine<122-34"9>
sodium<7440-23-5>
strobane<8001-50-l>
strontium 89<14158-27-l>
strontium 90<10098-97-2>
styrene<100-42-5>
suifates
sulfur dioxide<7446-09-5>
suspended solids
tde<72-54-8>
tetrachloroethene<127-18-4>
tetrachloroethylene<127-18-4>
tetrachloromethane<56-23-5>
tetraethyl dithiopyrophosphate
   <3689-24-5>
tetraethyl pyrophosphate<107-49-3>
tetrahydofuran<109-99-9>
thallium<7440-28-0>
titaniuin<7440-32-6>
                         320

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                             Accession No.   5303000101     (cont)

    toluene<108-88-3>                    tritiura<10028-17-8>
    toxaphene<8001-35-2>                 turbidity
    tribromomethane<75-25-2>             uranium 234<13966-29-5>
    tributyl phosphorotrithioate         uranium 235<15117-96-l>
       <78-48-8>                         uranium 238<7440-61-1>
    trlchlorfon<52-68-6>                 uraniuro<7440-61-l>
    trichloroethane<25323-89-1>          urethane<51-79-6>
    trichloroethene<79-01-6>             vanadiuw<7440-62-2>
    trichloroethylene<79-01-6>           vinyl acetate<108-05-4>
    trichlorofluoromethane<75-69-4>      vinyl chloride<75-01-4>
    trichlorophenol (TCP)<25167-82-2>    vinylldene chloride<75-35-4>
    trlethylaraine<121-44-8>              xylene<1330-20-7>
    trifluraline (treflan)<1582-09-8>    zinc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data base: 311-45*
    5;  630-20-6; 71-55-6; 79-34-5;    79-00-5; 79-01-6; 75-34-3;
    75-35-4; 57-14-7; 120-82-1; 95-94-3;       106-93-4; 95-50-1;
    107-06-2; 78-87-5; 563-54-2; 122-66-7;  57-55-6;    156-60-5;
    120-82-1; 541-73-1; 542-75-6; 106-46-7; 123-91-1; 58-90-2;
    95-95-4; 93-76-5; 93-72-1; 88-06-2; 94-75-7; 120-83-2; 105-67-9;
    51-28-5; 121-14-2; 87-65-0; 606-20-2; 110-75-8; 88-75-5; 79-46-9;
    109-06-8; 88-85-7; 91-94-1; 205-99-2; 72-55-9; 50-29-3; 534-52-1;
    1C 1-55-3; 100-02-7; 83-32-9; 208-96-8;  75-07-0; 64-19-7; 108-24-7;
    67-64-1; 75-05-8; 98-86-2; 107-02-8; 107-13-1; 124-04-9;
    15972-60-8;       309-00-2; 7429-90-5;  7664-41-7; 62-53-3;
    120-12-7; 7440-36-0;    7440-38-2; 1332-21-4; 1912-24-9; 1918-00-9;
    14798-08-4; 7440-39-3;    1861-40-1; 71-43-2; 92-87-5; 56-55-3;
    50-32-8; 191-24-2; 207-08-9;    65-85-0; 100-47-0; 98-07-7;
    7440-41-7; 58-89-9; 319-84-6; 319-85-7;   319-86-8; 92-52-4;
    111-91-1; 111-44-4; 39638-32-9; 117-81-7;     542-88-1; 7440-69-9;
    7440-42-8; 7726-95-6; 108-86-1; 75-27-4;    74-83-9; 23184-66-9;
    123-86-4; 85-68-7; 107-92-6; 7440-43-9;     13765-19-0; 133-06-2;
    63-25-2; 1563-66-2; 14762-75-5; 75-15-0;   56-23-5; 10045-97-3;
    75-87-6; 57-74-9; 67-66-3; 126-99-8; 2921-88-2;       7440-47-3;
    218-01-9; 156-59-2; 7440-48-4; 7440-50-8; 56-72-4;    1319-77-3;
    1319-77-3; 4170-30-3; 98-82-8; 21725-46-2; 57-12-5;   506-77-4;
    110-82-7; 108-94-1; 8065-48-3; 84-74-2; 117-84-0; 621-64-7;
    333-41-5; 132-64-9; 124-48-1; 74-95-3;  84-74-2; 1918-00-9;
    117-80-6;       25321-22-6; 75-27-4; 75-71-8; 594-04-7; 75-09-2;
    62-73-7; 60-57-1;    84-66-2; 109-89-7; 60-51-5; 131-11-3;
    124-40-3; 62-75-9; 123-91-1;    298-04-4; 330-54-1; 1031-07-8;
    959-98-8; 33213-65-9; 115-29-7;   7421-93-4; 72-20-8; 106-89-8;
    563-12-2; 141-78-6; 75-00-3; 60-29-7;   56-38-2; 100-41-4;
    107-12-0; 106-93-4; 107-06-2; 75-21-8;  7720-78-7;       206-44-0;
    86-73-7; 75-69-4; 50-00-0; 64-18-6; 98-01-1; 86-50-0;
    1024-57-3; 76-44-8; 118-74-1; 87-68-3;  58-89-9; 77-47-4; 67-72-1;
    302-01-2; 74-90-8; 74-90-8; 7783-06-4;  75-60-5; 193-39-5;
    15046-84-1;      10043-66-0; 74-88-4; 7439-89-6; 78-83-1; 78-59-1;
    115-32-2; 143-50-0;      7439-92-1; 58-89-9; 7439-93-2; 108-39-4;
    108-38-3; 121-75-5;     7439-96-5; 7439-97-6; 74-93-1; 67-56-1;
    16752-77-5; 72-43-5;     126-98-7; 71-55-6; 78-93-3; 74-88-4;
    108-10-1; 74-93-1; 80-62-6;      298-00-0; 7786-34-7; 2385-85-5;
    7439-98-7; 75-04-7; 74-89-5; 71-36-3;      84-74-2; 621-64-7;


                             321

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                             Accession No.   5303000101     (cont)

    62-75-9;  86-30-6; 107-10-8; 91-20-3; 7440-02-0;    54-11-5?
    14797-55-8; 98-95-3; 7727-37-9; 55-63-0; 95-48-7; 90-05-1;
    95-47-6;  106-44-5;  106-46-7; 106-42-3;  123-63-7; 56-38-2;
    12674-11-2;      11104-28-2; 11141-16-5; 53469-21-9; 12672-29-6;
    11097-69-1;      11096-82-5; 608-93-5;  76-01-7; 82-68-8; 87-86-5;
    127-18-4;  72-56-0;    85-01-8; 108-95-2; 103-82-2; 298-02-2;
    7723-14-0; 88-99-3; 85-44-9;   13981-16-3; 15117-48-3; 7440-09-7;
    1918-16-7; 709-98-8; 2312-35-8;    79-09-4; 107-12-0; 75-56-9;
    129-00-0;  110-86-1; 91-22-5; 13982-63-3;       15262-20-1;
    108-46-3;  299-84-3; 78-48-8; 81-07-2? 94-59-7; 7782-49-2;
    7440-22-4; 93-72-1; 122-34-9; 7440-23-5; 8001-50-1; 14158-27-1;
    10098-97-2; 100-42-5; 7446-09-5; 72-54-8; 127-18-4; 127-18-4;
    56-23-5;  3689-24-5; 107-49-3; 109-99-9; 7440-28-0? 7440-32-6;
    108-88-3;  8001-35-2; 75-25-2; 78-48-8;  52-68-6; 25323-89-1;
    79-01-6?        79-01-6; 75-69-4; 25167-82-2; 121-44-8? 1582-09-8?
    10028-17-8;   13966-29-5; 15117-96-1; 7440-61-1; 7440-61-1;
    51-79-6;  7440-62-2?     108-05-4; 75-01-4; 75-35-4? 1330-20-7;
    7440-66-6
(CNM)  Contact name(s): Conger/C.S.    ;    Conger,C.S.
(COR)  Contact organization: Monitoring and Data Support Division
(RQR)  Responsible Organization: Office of  Water.Office of Hater
    Regulations and Standards.Monitoring and Data Support
                             322

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                             Accession No.   5303000102

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Basic  Water  Monitoring  Core  Stations
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Kedla/Sublect of Data Base or Model:  Sediment  ^Surface water
    fresh ;Tissue indigenous species:  fish/shellfish
(flBS)  Abstract/Overview of  Data Base  or  Model: Data  is collected  from
    the national     ambient water quality monitoring network of 1/000
    stations, comprised primarily of a minimum  "core11 network of State
    stations selected as a subset of ongoing State  programs.  Stations
    are operated    monthly/ with a common list of  parameter codes/  and
    the     data is used for national  trend  assessments.
(CTC)  CONTACTS: Subject matter EPA Regional Basic  Mater Monitoring
    Program Coordinator? Computer-related Sam Conger  (202)382-7220;
    EPA Office Regional Basic Water Monitoring  Program  Coordinator
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Tata Base status: Operational/ongoing
(GRP)  Groups of substances  represented In Data Base: 11 conventional
    water
(NPP)  Non-pollutant parameters included  in  the data  base: Biological
    data ^Collection method  ;Flow rates ;Geographic subdivision ;
    Salinity ;Sampling date  ;Site description ^Temperature
    > conductivity ;     transparency
(DS)  Time period covered by data base: 10-01-78 TO 09-30-81
(TKM)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: monthly
(NOB)  Number of observations in data  base:  24000.(Estimated)
(NSI)  Estimated annual Increase of observations In data base:  12000.
(INF)  Data base Includes: Raw data/observations
(UTS)  Total number of stations or sources covered  in data base: 1000.
(NCS)  No. stations or sources currently  originating/contributing  data:
    1000.
(NOF)  Number of facilities  covered in data  base (source monitoring):  (N
    /A.)
(GEQ)  Geographic coverage of data base:  National
(LOC)  Data elements identifying location of station  or source  include:
    State ;County ;Clty ;Town/township Coordinates Latitude and
    longitude ;    Project identifier  ;Agency-code  ^Station-number
(FAC)  Data elements Identifying facility Include:  N/A
(CDE)  Pollutant Identification data are: Storet parameter

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                             Accession No.   5303000102     (cent)

(A8Y)  Data analyzed by:  State agency 50 State Hater Pollution Control
    Agencies
CIDL)  Laboratory identification:  NO
(PR1)  Primary purpose of data collection:  Trend assessment
(AUT)  Authorization for  data collection: Statutory authorization  is P
    L 95-217,  Section 104(a)(5)(Clean Hater   Act-CHA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base:  Publications
    National Mater Quality Inventory/Report to Congress
    Unpublished reports December 1 Report to the Administrator
    Printouts on request
    Microfilm
    Machine-readable raw  data
    On-line computer
    included in Council on Environmental and Quality
    Report-Environmental  Quality
(NUS)  Number of regular  users of data base: 1200
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Mater Regulations and Standards/    Office of Pesticides
    and Toxic Substances, Office of Water Programs   Operations.
    EPA regional offices
    EPA laboratories
    Other federal agencies
    States
    Universities
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: Headquarters office
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software STORET jEPA hardware IBM
    370/168
(CHG)  Direct charge for  non-EPA uses no
(UPDT)  Frequency of data base master file  up-date: Weekly
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    National feater Quality   Surveillance System
(RDB)  Non-EPA data bases used in conjunction with this data base: State
    Systems: U.S. Geological Survey National Stream Quality Network
    (NASQAN)
(CMP)  Completion of form:
    Morris L.  Mabbitt
    OFC: EPA/(OK«M)/(OHRS)/(MDSD)
    AD: 401 M St., S.W. Washington, D,C. 20460
    PH: (202)382-7056
(DF)  Date of form completion: Ql-21«*83
(NMAT)  Number of substances represented in data base: 13
(NCAS)  Number of CAS registry numbers in data base: 4
(MAT)  Substances represented in data base:
    dissolved oxygen                     nitrates/nitrites
    fecal coliform                       nitrogen<7727-37-9>
    hexachlorocyclohexane<58-89-9>       oxygen demand
    methoxychlor<72-43-5>                pH


                             324

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                             Accession No.   5303000102     (cont)

    phosphorus<7723-14-0>                total organic carbon (TOO
    specific conductivity                transparency
    suspended solids
(CAS)  CAS registry numbers of substances Included In data base:  58-89-9
    ; 72-43-5; 7727-37-9; 7723-14-0
(CNN)  Contact name(s): Program/R.B.   ;    Conger,S.
(COR)  Contact organization: Regional Basic Mater Monitoring Prograa
    Coordinator
(ROR)  Responsible Organization: Office of Water.Office of Hater
    Regulations and Standards.Monitoring and Data Support
                             325

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                             Accession No.   5303000103

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  National Hater Quality  Surveillance
    System
(ACR)  Acronym of Data Base or Model: NHQSS
(MED)  Media/Subject of Data Base or Model: Surface water  fresh water
(ABS)  Abstract/Overview of Data Base or Model:  These EPA  designated
    ambient water quality   monitoring stations  augment the 1*000
    "core" stations  operated by the states.   Stations are selected by
    the Regions and operated by the U.S. Geological   Survey.
(CTC)  CONTACTS: Subject natter Regional Basic Water Monitoring
    Program; Computer-re lated Sam Conger (202)382-7220; EPA Office
    Regional Basic Water Monitoring Program Coordinator
(DTP)  Type of data collection or monitoring:  Ambient data collection
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances represented in  Data  Base: 129  307  CWA ;11
    conventional water
(HPP)  Kon-pollutant parameters included in the  data base: Flow rates
    geographic subdivision ^Salinity ;Sarapltng  date ;     Site
    description ;Temperature
(DS)  Tine period covered by data base: 10-01-79 TO 09-30-81
(TRM)  Termination of data collection: Ongoing for many stations
    although "network" no longer  operative as such.
(FRQ)  Frequency of data collection or sampling: sonthly
(MOB)  dumber of observations in data base: 9000.(Estimated)
(NF.I)  Estimated annual increase of observations in data base:  10800.
(INF)  Data base includes: Raw data/observations
(N'i'S)  Total number of stations or sources  covered in data base: 53.
OlCS)  Ko. stations or sources currently originating/contributing data:
    41*
(KOF)  Dumber of facilities covered in data base (source monitoring): (N
    /JU)
(GEO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source Include:
    State ;County ;City ;Town/township Coordinates Latitude/longitude
    ;   agency code ^station number
(FAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant identification data are: Storet parameter
(LIM)  Limitation/variation In data of which user should be aware: None
(DPR)  Data collect./anal, procedures conform to GRD guidelines: Samplin
    g plan documented ^Collection method documented ^Analysis  method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit is satisfactory for  U.S. Geological
  1  Protocols-cooperate with EPA.
(PRE)  Precision: Precision and accuracy estimates exist but are not
    included in data base
(EDT)  Fditting: Edit procedures used and documented.
(C8Y)  Data collected by: Other federal agency U.S. Geological Survey
(ABY)  Data analyzed by: Other federal agency U.S. Geological  Survey
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Trend assessment
(AUT)  Authorization for data collection: Statutory authorization is P


                             326

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                             Accession No-   5303000103      (cent)

    L 95-217,  Section 104(2X5)
(OMB)  Data collected/submitted  using QMB-approved EPA  reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    National Water Quality Inventory/Report to Congress
    Unpublished reports December 1 Report to the Administrator
    Printouts on request
    Machine-readable raw data
    Qn-Jine computer
    included in Council on Environmental Quality Report
(NUS)  Number of regular users of data base: 1200
(OSR)  Current regular users of  data basef  EPA headquarter  offices
    Office of Water Regulations  and Standards/    Office of iiater
    Program Operations/ Office of Pesticides and Toxic    Substances.
    EPA regional offices
    EPA laboratories
    Other federal agencies
    States
(CNF)  Confidentiality of data and limits on access: No limits  on
    access to data
(DLC)  Primary physical location of data: Headquarters  office
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA  software STORET  MIDS:5303000101 ;£PA
    hardware IBM 370/168
(CKG)  Direct charge for non-EPA use: no
(OPDT)  Frequency of data base master file up-date:  Meekly
(RDBSPA)  Related EPA data bases used In conjunction uith this  data base
    Basic Water Monitoring   Program McoreM stations

    4,4'-dde(p,pr-ddx)<72-55-9>           hexachlorocyclohexane<58-89-9>
    4,4*-ddt<50-29~3>                    lead<7439-92-l>
    aldrin<309-00-2>                     mercury<7439-97-6>
    arsenic<7440-38-2>                   methoxychlor<72-43-5>
    cadmium<7440-43-9>                   nitrates/nitrites
    chlordane<57-74-9>                   nitrogen<7727-37-9>
    chromium<7440-47-3>                  oxygen demand
    copper<7440-50-8>                    pH
    dieldrin<60-57-l>                    pcb-1016 (arochlor 1016)
    dissolved oxygen                        <12674-ll-2>
    endrin<72-20-8>                      pcb-1221 (arochlor 1221)
    fecal coliform                          <11104-28-2>


                             327

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                             Accession Ho.   5303000103     (cont)

    pcb-1232 (arochlor 1232)              pcb-1260 (arochlor 1260)
       <11141-16-S>                         <11096-82-5>
    pcb-1242 (arochlor 1242)              pentachlorophenol<87-86-5>
       <53469-21-9>                      phosphorus<7723-14-0>
    pcb-1248 (arochlor 1248)              specific conductivity
       <12672-29-6>                      suspended solids
    pcb-1254 (arochlor 1254)              total organic carbon (TOC)
       <11097-69-l>                      transparency
(CAS)  CAS registry numbers of substances included in data base: 72-55-9
    ; 50-29-3;  309-00-2;  7440-38-2;    7440-43-9;  57-74-9; 7440-47-3;
    7440-50-8;  60-57-1; 72-20-8;  118-74-1;       58-89-9; 7439-92-1;
    7439-97-6;  72-43-5; 7727-37-9;  12674-11-2;   11104-28-2;
    11141-16-5; 53469-21-9; 12672-29-6; 11097-69-1;      11096-82-5;
    87-66-5; 7723-14-0
(CNM)  Contact  name(s): Program,R.B«    ;    Conger,S.
(COR)  Contact  organization:  Regional Basic Hater Monitoring Program
    Coordinator
(ROR)  Responsible Organization:  Office of  Hater.Office of Hater
    Regulations and Standards*Monitoring and Data Support
                             328

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                             Accession No.   5303000104

CDQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model:  Sources  of Toxic Pollutants  Found in
    Influents to  Sewage Treatment  Plants
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model: Effluents sources to seuage
    collection systems
(ABS)  Abstract/Overview of Data Base or Model:  The sewage collection
    systems in four different cities (Cincinnati, Atlanta/ St.  Louis,
    Hartford) were sampled for the   consent decree or priority
    pollutants.  The collection systems  Here separated into
    residential/ commercial, and industrial areas.  In total/ 11
    residential/ 10 commercial, and 5 industrial areas were sampled in
    addition to the seuage plant    influents and tapwater.
(CTC)  CONTACTS: Subject matter  James Spatarella  (202)382-7034;   EPA
    Office Rod Frederick (202)382-7051
(DTP)  Type of data collection or monitoring: Combination/Other
    influents to seuage treatment plants and sources in  the sewage
    collection system
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances represented in  Data Base: 129 307 CWA ;11
    conventional water
(NPP)  Ron-pollutant parameters included in the data base: Collection
    method ;Location ;Sampling date ;Site description
(DS)  Time period covered by data base: 03-01-78 TO 09-30-81
(TRM)  Termination of data collection: Occurred 10/30/79
(FRQ)  Frequency of data collection or sampling: one tine only  jdaily
(NOB)  Number of observations in data base: 185.(Actual)
(I?EI)  Estimated annual increase of observations in data base:  0.
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or  sources  covered in data base: 35.
(NCS)  No. stations or sources currently originating/contributing data:
    35.
(NOF)  lumber of facilities covered in data base (source monitoring): 4.
(GEO)  Geographic coverage of data  base: Selected federal region
    Cincinnati/ Atlanta/ St. Louis/ Hartford
(LOG)  Data elements identifying location of station or source  include:
    State ^County jCity Coordinates Latitude/Longitude
(FAC)  Data elements identifying facility include: Plant facility name
    yPlsnt location ;SCC
(CDE)  Pollutant identification data are: Storet parameter
(LIM)  Limitation/variation in data of which user should be snare:  Data
    is not effluent data/ but rather   the  raw sewage in municipal
    collection systems.
(DPR)  Data collect./anal, procedures conform to QRD guidelines: Samplin
    g plan documented /Collection method documented ^Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods?  YES
(ADD)  Lab Audit: Lab audit is satisfactory for varies from
    questionable to excellent for     different parameters.
(PRE)  Precision: Precision and accuracy estimates exist but are not
    included in data base
(EOT)  Editting: Edit procedures used but undocumented.


                             329

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                             Accession No.   5303000104     (cont)

(CBY)  Data collected by:  Contractor Arthur 0*  Little
(ABY)  Data analyzed by:  Contractor lab Arthur  D.  Little
(IDL)  Laboratory identifications  YES
(PR1)  Primary purpose of data collection;  Program evaluation
(PR2)  Secondary purpose  of data collection; Special study
(AUT)  Authorization for  data collection:  Statutory authorization  is P
    L 92-500, Section 307a(l) (Clean Water     Act-CWA)
(OMB)  Data collected/submitted using QMS-approved EPA reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base: Published
    reports source of Toxic Pollutants in  Influents to     Sewage
    Treatment Plants (5 volumes)
    Printouts on request
    Machine-readable raw  data
(NUS)  Number of regular  users of  data base: 2  offices
(DSR)  Current regular users of data base:  EPA  headquarter offices
    Monitoring and Data Support Division/     Effluent Guidelines
    Division.
(CNF)  Confidentiality of data and limits  on access: Limits on outside
    access for some data
(DLC)  Primary physical location of data:  Contractor
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: EPA software STORET  KIDSS530300Q101 ;EPA
    hardware IBM 370/168
(CHG)  Direct charge for  non-EPA use: no
(UPDT)  Frequency of data base master file  up-date: Other No further
    updates:  study completed
(CMP)  Completion of form:
    Eleanor Zimmerman
    QFC: EPA/(OHNM)/(OHRS)/(MDSD)
    AD; 401 M St SW Washington, DC 20460
    PH: (202) 382-7037
(DF)  Date of form completion: 01-21-83
(NMAT)  Number of substances represented in data base: 133
(NCAS)  Number of CAS registry numbers in  data  base: 126
(MAT)  Substances represented in data base:
    l,l,l-trichloroethane<71-55-         l,4-dichlorobenzene<106-46-7>
       6>                                2,4,6-trichlorophenol<88-06-2>
    If1,2/2,-tetrachloroethane           2,4-dichlorophenol<120-83-2>
       <79-34-5>                         2/4-dimethylphenol<105-67-9>
    l/l,2-trichloroethane<79-00-5>       2,4-dinitrophenol<51-28-5>
    lfl-dichIoroethane<75-34-3>          2,4-dinitrotoluene<121-14-2>
    1,l-dichloroethylene<75-35-4>         2,6-dinitrotoluene<606-20-2>
    l,2,4,-trichlorobenzene<120-82-l>    2-chloroethylvinyl ether<110-75-8>
    l/2-dichlorobenzene<95-50-l>         2-chloronaphthalene<91-58-7>
    It2-dichloroethane<107-06-2>         2-chlorophenol<95-57-8>
    l/2-dichloropropane<78-87-5>         2-nitrophenol<88-75-5>
    If2-dichloropropylene<563-54-2>      3,3 *-dichlorobenzidine<91-94-l>
    lx2-diphenylhydrazine<122-66-7>      3,4-benzofluoranthene<205-99-2>
    1,2-trans-dichloroethylene           4/4*-ddd(p,p*tde)
       <156-60-5>                        4,4--dde(p,p*-ddx)<72-55-9>
    l/3-dlchlorobenzene<541-73-l>        4,4*-ddt<50-29-3>


                             330

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                         Accession No.  5303000104
                  (COnt)
4, 6-dinitro-o-cresol<534-52-l>
4-broroophenyl phenyl ether
   <101-55-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
acenaphthene< 83-32 -9>
acenaphthylene<208-96-8>
acrolein<107-02-8>
acryloriitrlle<107-13-l>
aldrin<309-00-2>
anthracene
antimony<7440-36-0>
arsenic<7440-38-2>
benzene<71-43-2>
benzidine<92-87-5>
benzo(a)anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
benzo(gjrhjri)peryleneCl91-24-2>
benzo(k)fluoranthene<207-08-9>
beryllium<7440-41-7>
bhc (lindane)-gamn»a<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
bis (2- chloroe thoxy)roethane
bis(2-chloroethyl)ether
bis(2-chloroisopropyl) ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis(chloromethyl)ether<542-88-l>
bromomethane<74-83-9>
butyl benzyl phthalate<85-68-7>
cadroium<7440-43-9>
carbon tetrachloride<56-23-5>
chlcrdane<57-74-9>
chlorobenzene<108-90-7>
chlorodibr omoraethane< 1 24 -48-1 >
chloroethane<75-00-3>
chloroform<67-66-3>
chloromethane<74-87-3>
chromiuin<7440-47-3>
chrysene<218-01-9>
cyanide<57-12-5>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
dlbenzo(a,h)anthracene<53-70-3>
dichlorobroffloraethane<75-27-4>
dichlorodifluoromethane<75-71-8>
dichloronethane<75-09-2>
dieldrin<60-57-l>
dlethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
dissolved solids
endosulfan sulf ate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylbenzene<100-41-4>
fecal coliforra
f luoranthene<206-44-0>
fluorene<86-73-7>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hex achlorobenzene< 118-7 4-l>
hexachlorobutadiene<87-68-3>
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
indeno 
isophororte<78-59-l>
lead<7439-92-l>
mercury<7439-97-6>
n-nitrosedi-n-propylaroine
   <621-64-7>
n-nitrosodiff»ethylanine<62-75-9>
n-nitrosodiphenylaroine<86-30-6^
naphthalene<9l-20-3>
nlckel<7440-02-0>
nitrobenzene<98-95-3>
nitrogen<7727-37-9>
oil and grease
oxygen demand
p-chloro-ffl-cresol<59-50-7>
PH
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorophenol<87-86-5>
phenanthrene<85-01-8>
phenol<108-95-2>
                         331

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                             Accession No.   5303000104     (cont)

    pyrene<129-00-0>                     toxaphene<8001-35-2>
    seleniura<7782-49-2>                  tribronomethane<75-25-2>
    silver<7440-22-4>                    trichloroethylene<79-01-6>
    suspended solids                     trichlorofluoromethane<75-69-4>
    tetrachloroethylene<127-18-4>        vinyl chloride<75-01-4>
    thalliufli<7440-28-0>                  zinc<7440-66-6>
    toluene<108-88-3>
(CAS)  CAS registry numbers of substances included in data base: 71-55-6
    - 79-34-5;  79-00-5; 75-34-3;  75-35-4;       120-62-1; 95-50-1;
    107-06-2; 78-87-5; 563-54-2;  122-66-7;  156-60-5;   541-73-1;
    106-46-7; 88-06-2; 120-83-2;  105-67-9;  51-28-5; 121-14-2;
    606-20-2; 110-75-8; 91-58-7;  95-57-8; 88-75-5; 91-94-1; 205-99-2;
    72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7; 83-32-9;
    208-96-8; 107-02-8; 107-13-1; 309-00-2; 120-12-7; 7440-36-0;
    7440-38-2;  71-43-2; 92-87-5;  56-55-3; 50-32-8; 191-24-2; 207^08-9;
    7440-41-7;  58-89-9; 319-84-6; 319-85-7; 319-86-8; 111-91-1;
    111-44-4;      39638-32-9; 117-81-7; 542-88-1; 74-83-9; 85-68-7;
    7440-43-9;  56-23-5;      57-74-9; 108-90-7; 124-48-1; 75-00-3;
    67-66-3; 74-87-3; 7440-47-3;     218-01-9; 57-12-5; 84-74-2;
    117-84-0; 53-70-3; 75-27-4; 75-71-8;      75-09-2; 60-57-1;
    84-66-2; 131-11-3; 1031-07-8; 959-98-8; 33213-65-9;      7421-93-4;
    72-20-8; 100-41-4; 206-44-0;  86-73-7; 1024-57-3; 76-44-8;
    118-74-1; 87-68-3; 77-47-4; 67-72-1; 193-39-5; 78-59-1; 7439-92-1;
    7439-97-6;  621-64-7; 62-75-9; 86-30-6;  91-20-3; 7440-02-0; 98-95-3;
    7727-37-9;  59-50-7; 12674-11-2; 11104-28-2; 11141-16-5; 53469-21-9;
    12672-29-6; 11097-69-1; 11096-82-5; 87-86-5; 85-01-8; 108-95-2;
    129-00-0; 7782-49-2; 7440-22-4; 127-18-4; 7440-28-0; 108-88-3;
    8001-35-2;  75-25-2; 79-01-6;  75-69-4; 75-01-4; 7440-66-6
(CNM)  Contact  narae(s): Spatarella/J.  ;    Frederick/R.
(ROR)  Responsible Organization:  Office of Water.Office of Hater
    Regulations and Standards*Monitoring and Data Support
                             332

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                             Accession No.   5303000105

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Industrial Facilities Discharge  File
(ACR)  Acronym of Data Base or Model:  IFD FILE
(MED)  Media/Subject of Data Base or Model:  Other Not related to  a
    specific media:  data collected from Permit     Compliance System
    and regional National Pollutant Discharge Elimination    System
    forms.
(AeS)  Abstract/Over view of Data Base  or Model: File consists of  major/
    minor and indirect   dischargers (section 4 only) for the
    industrial and municipal    facilities*   Key data elements
    collected:  National    Pollutant  Discharge Elimination System
    number/ name/   address/ receiving stream/ latitude/longitude/
    pipes/  flou, process type/ basin  codes/ REACH number/ SIC codes/
    STORET effluent monitoring stations/ as  they become    available.
    The data base covers those industries suspected of  discharging  the
    129 consent Decree   Priority Pollutants/ but no pollutant
    parameters  are actually included  in the data.
(CTC)  CONTACTS: Subject matter   Robert J.  Pease and Phillip Taylor
    (202) 426-7780   ;     Comp
(DTP)  Type of data collection or monitoring: Point source data
    collection industrial dischargers
(STA)  DataBase status: Operational/ongoing
(NPP)  Non-pollutant parameters included in  the data base: Discharge
    points ;Flo« rates ;Geographic subdivision /Industry /  Location
    Manufacturer ^Political subdivisions ^Population demographics  ;
    SIC codes
(DS)  Time period covered by data base: 12-01-78 TO Current
(TRM)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: as needed
(NOB)  Number of observations in data  base:  1/200/000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: 2000*
(INF)  Data base includes: Reference data/citations
(NTS)  Total number of stations or sources covered in data base:  51/000.
(NCS)  No. stations or sources currently originating/contributing data:
    10.
(NOF)  Number of facilities covered in data  base (source monitoring): 51
    /OOO.
(GEO)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or source include:
    State ;County ;City ;Street address ^Coordinates latitude/longitude
    ;  stream name/ cataloging unit/ stream  research number
(FAC)  Data elements identifying facility include: Plant facility name
    jPlsnt location /Street address ;SIC code >   Dun Bradstreet  /NPDES
    ;Program identifier
(CDE)  Pollutant identification data are: Storet parameter
    CAS registry number
(LIM)  Limitation/variation in data of which user should be aware:  File
    is an EPA in-house data base. No training or user assistance  is
    supported  by the agency.  Users cannot  update file but can request
    data to be   updated.  Retrievals  by project office or users  may
    train   themselves.
(DPR)  Data collect./anal* procedures  conform to ORD guidelines:  QA


                             333

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                             Accession No.  5303000105     (cont)

    procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods? Lab
    analysis not applicable.
(AUD)  Lab Audit; not applicable
(PRE)  Precision: Precision and accuracy estimates are not applicable
(EOT)  Editting: Edit procedures not applicable.
(CBY)  Data collected by: State agency 2% of data Is from various state
    agencies ^Regional office 3% of da Contractor 95% of the data is
    froir SCS Engineers-priise  contractor
(ABY)  Data analyzed bys Contractor SCS Engineers
    EPA headquarters Monitoring and Data Support Division
(AUT)  Authorization for data collection: No statutory requirement:
    Compliance with consent decree
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    158-R-0096 J158-R-0100
(REP)  Form of available reports and outputs of data base: Printouts on
    request
    On-line computer
(NUS)  Number of regular users of data base: 3 offices
(USR)  Current regular users of data base: EPA headquarter offices
    Office of Enforcement^    Office of Mater Regulations and Standards
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: NCC/IBM
(DST)  Form of data storage: Magnetic disc
(DAC)  type of data access: EPA software In House System (locally
    developed) ;EPA hardware IBM 370/168
(CHG)  Direct charge for non-EPA use: no outside use/access permitted
(OPDT)  Frequency of data base master file up-date: Meekly
(RDBEPA)  Related IPA data bases used in conjunction with this data base
    STORET (Storage and Retrieval of   Mater Quality Data), REACH,
    WATER SUPPLY, GAGE Files,  Permit Compliance System.
(ROB)  Kon-EPA data bases used in conjunction with this data base: Dun
    & Bradstreet Database     (tapes), U.S. Geological Survey
    Hydrological Cataloging Unit File
(CMP)  Completion of form:
 «   Robert J. Pease
    GFC: EPA/(OWWM)/(OMRS)/(MDSB)
    AD: 410 M St., SW Washington, DC 20460
    PH: (202) 426-7780
(OF)  Date of foria completion: 01-21-83
(CNM)  Contact name(s): Pease,R.J.    ;    Pandolfi,T»    }
    Taylor,p.
(RQR)  Responsible Organization: Office of Water.OffIce of tiater
    Regulations and Standards.Monitoring and Data Support
                             334

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                             Accession No.   5303000106

(DQ)  Date of Questionaire: 12-02-82
(NAM)  tfame of Data Base of Model:  Fish Kills
(ACR)  Acronym of Data Base or Model:  None
(t!ED)  Media/Subject of Data Base or Model:  Surface Hater all types
    ;Tissue fish (occasionally) ;0ther number of fish killed
(ABS)  abstract/Overview of Data Base  or Model: Data for the
    Pollution-Caused Fish Kill project Is     submitted on a voluntary
    basis by State officials who depend on   sportsmen,  fishermen/  and
    concerned observers for notification  of fishkill  incidents.
    Investigations are made by State    specialists who Identify the
    cause/ size, and species of kills.  When water pollution is
    determined to be the cause/ a report     is submitted by the State
    to EPA Headquarters/ Monitoring   Branch.  The degree of success  of
    this program Is directly  related  to the cooperation of the States
    as veil as the     voluntary involvement of the general public.
    This program is    authorized by the Clean Water Act/ Section
    104(b).
(CTC)  CONTACTS: Subject natter   Tom  Murray  (202) 382-7060 ;
    Computer-related  Charles S.  Conger (202) 382-7220 ; EPA Office
    Tom Murray (202)382-7060
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Operational/ongoing
(NPP)  Eon-pollutant parameters included in  the data base: Biological
    date ;Location ;political subdivisions ;Sampling date ;     Site
    description ^duration of the fish  kill ^severity of the fish kill  ;
    extent of the fish kill
(DS)  Time period covered by data base: 06-01-60 10 09-30-81
(TRW)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: as needed
(NOB)  Number of observations in data  base:  12000.(Estimated)
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources covered in data base: (unknow
    n.)
(NCS)  No. stations or sources currently originating/contributing data:
    80.
(NOF)  dumber of facilities covered in data  base (source monitoring):  (N
    /A.)
(GEQ)  Geographic coverage of data base: National
(LOG)  Bata elements identifying location of station or source include:
    State >County >Town/township Coordinates latitude/longitude ;
    water body
(FAC)  Data elements identifying facility include: type of
    industry/operation causing the kill
(CDC)  Pollutant identification data are: Other coding  scheme
(LIM)  Limitation/variation in data of which user should be aware: Repor
    ting process is voluntary and varies in  depth and accuracy of
    reports.  Not all Information is available for all  reports.  Data
    base is currently being    reorganized.
(AWL)  Lab analysis based on EPA-approved or accepted methods? NO
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision and accuracy estimates are  not available
    Edit extent of edit unknown.


                             335

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                             Accession No*  5303000106     (cont)

(CB¥)  Data collected by:  Local agency clubs, counties, etc*  ;State
    agency Environment, Public Health, Fis etc. ;private citizens
(ABY)  Data analyzed by; Local agency clubs, counties, etc.
    State agency Environment, Public Health, Fish and Wildlife,
    etc.
    EPA lab cannot identify
    private citizens
    state labs
(IDL)  Laboratory identification:  NO
(AUT)  Authorization for data collection: Statutory authorization is P
    L 92-500 Section 104(b), as amended. Clean     Hater Act  (CHA)
(OMB)  Data collected/submitted using One-approved EPA reporting forms:
    158-R-0036
(REP)  Form of available reports and outputs of data base:  Publications
    "Fish kills caused by pollution in 19 n (Annual     report)
    printouts on request
    ran data forms
(NO'S)  Number of regular users of  data base: 14000
(USR)  Current regular users of data base: EPA headquarter offices
    Monitoring and Data Support Division;    Office of Pesticides and
    Toxic Substances
    EPA regional offices
    Other federal agencies
    States
    Universities
    private organizations/citizens
(CNF)  Confidentiality of data and liraits on access: No limits on
    access to data
(DLC)  Primary physical location of data: NCC/IBM
(DST)  Form of data storage: Disc, original form.
(DAC)  Type of data access: EPA software STOREf  KIDS:5303000101 ?EPA
    hardware IBM
(CHG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base master file up-date: Annually
(CMP)  Completion of form:
    Susan C. Svirsky
    DFC: EPA/(OKWM)/(OWS)/(MDSD)
    AD: 401 M St., S.H. Washington, DC 20460
    PH: (202) 426-7778
(DF)  Date of form completion: 01-21-83
(NMAT)  Number of substances represented in data base: 106
(NCAS)  Number of CAS registry numbers in data base: 90
(MAT)  Substances represented in data base:
    acetic acid<64-19-7>                 2,4,5-trichlorophenoxyacetic acid
    acetic anhydride<108-24-7>              (T) <93-76-5>
    acetone<67-64-l>                     2,4,6-trichlorophenol<88-06-2>
    acidity                              2,4-D acid<94-75-7>
    aldrin<309-00-2>                     2,4-d esters
    alkalinity                           2,4-dichlorophenol<120-83-2>
    2,2-dichloropropionic acid           2,4-dichlorophenoxyacetic acid (2,
       <75-99-0>                            4-D) <94-75-7>
                                         2,4-dinitrotoluene<121-14-2>


                             336

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                             Accession No.   5303000106
                  (cont)
    4,6-dinitro-o-cresol<534-52-l>
    aluminum sulfate<10043-01-3>
    alurainuni<7 429-90-5>
    ammonia<7664-41-7>
    ammonium hydroxide<1336-21-6>
    ammonium picrate<131-74-8>
    ammonium sulfamate<7773-06-0>
    ar seiti c<7440 -3 8-2>
    atrazine<1912-24-9>
    ben?ene<71-43-2>
    caduiuaK7440-43-9>
    calcium oxide<1305-78-8>
    carbon tetrachloride<56-23-5>
    chlordane<57-74-9>
    chlorine<7782-50-5>
    chromic acid<7738-94-5>
    chromium<7440-47-3>
    coal tar<8007-45-2>
    copper<7440-50-8>
    crepsote<802l-39-4>
    crotonaldehyde<4170-30-3>
    cyanide<57-12-5>
    ddt
    d i az inorK 3 33 -41 - 5>
    dichloromethane<75-09-2>
    dieldrin<60-57-l>
    diguat<2764-72-9>
    dissolved oxygen
    dissolved solids
    diuron<330-54-l>
    endosulfan<115-29-7>
    endrin<72-20-8>
    ethion<563-12-2>
    ferric sulfate<10028-22-5>
    fluorides
    forrcaldehyde<50-00-0>
    guthion<86-50-0>
    heptachlor<76-44-8>
    hydrochloric acid<7647-01-0>
    hydrogen sulfide<7783-06-4>
    iron<7439-89-6>
    kelthane<115-32-2>
    lead<7439-92-l>
    lindane<58-89-9>
    malathion<121-75-5>
methanol<67-56-l>
methoxychlor<72-43-5>
microbiology coliforra bacteria
naphthal€ne<91-20-3>
nickel<7440-02-0>
nitrate<14797-55-8>
nitrates/nitrites
nitric acid<7697-37-2>
nitrogen<7727-37-9>
nitrophenol<25154-55-6>
oil and grease
oxygen demand
PH
parathion<56-38-2>
pentachlorophenol<87-86-5>
perchloroethylene<127-18-4>
phenol<108-95-2>
phorate<298~02-2>
Phosphoric acid<7664-38-2>
phosphorus<7723-14-0>
polychlorinated biphenyls (PCBs)
potassium perwanganate<7722-64-7>
propionic acid<79-09-4>
pyridine<110-86-l>
rotenone<83-79-4>
silver nitrate<7761-88-8>
silvex<93-72-l>
sodium cyanide<143-33-9>
sodium hydroxide<1310-73-2>
sodium hypochlorite<7681-52-9>
strobane<8001-50-l>
styrene<100-42-5>
sulfides
sulfur dioxide<7446-09-5>
sulfuric acid<7664-93-9>
suspended solids
tetrahydofuran<109-99-9>
toluene<108-88-3>
toxaphene<8001-35-2>
trichloroethane<25323-89-l>
trichloroethylene<79-01-€>
trichlorophenol (TCP)<25167-82-2>
turbidity
xylene<1330-20-7>
zinc<7440-66-6>
    raercury<7439-97-6>
(CAS)  CAS registry numbers of substances included in data base:  64-19-7
    ; 108-24-7; 67-64-1;  309-00-2;    75-99-0; 93-76-5; 88-06-2;
    94-75-7; 120-83-2; 94-75-7; 121-14-2;      534-52-1; 10043-01-3;
    7429-90-5; 7664-41-7; 1336-21-6; 131-74-8;      7773-06-0;
    7440-38-2; 1912-24-9; 71-43-2; 7440-43-9; 1305-78-8;       56-23-5;
    57-74-9; 7782-50-5; 7738-94-5; 7440-47-3; 8007-45-2;    7440-50-8;
                             337

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                             Accession No.   5303000106     (cont)

    8021-39-4;  4170-30-3; 57-12-5; 333-41-5; 75-09-2; 60-57-1;
    2764-72-9;  330-54-1; 115-29-7; 72-20-8; 563-12-2; 10028-22-5;
    50-00-0; 86-50-0; 76-44-8;  7647-01-0; 7783-06-4; 7439-89-6;
    115-32-2;      7439-92-1; 58-89-9; 121-75-5; 7439-97-6; 67-56-1;
    72-43-5; 91-20-3;   7440-02-0; 14797-55-8; 7697-37-2; 7727-37-9;
    25154-55-6; 56-38-2;     87-86-5; 127-18-4; 108-95-2; 298-02-2;
    7664-38-2;  7723-14-0;     7722-64-7; 79-09-4; 110-86-1; 83-79-4;
    7761-88-8;  93-72-1; 143-33-9;       1310-73-2; 7681-52-9;
    8001-50-1;  100-42-5; 7446-09-5; 7664-93-9;      109-99-9; 108-88-3;
    8001-35-2;  25323-89-1; 79-01-6; 25167-82-2;       1330-20-7;
    7440-66-6
(CNM)  Contact  name(s): Murray,!. ;    Murray^T*
(ROR)  Responsible Organization:  Office of Hater.Office of Mater
    Regulations and Standards.Monitoring and Data Support
                             338

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                             Accession No.   5303000107

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Regional  Toxics  Monitoring  Program
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model:  Effluents
    industrial/municipal discharges ;Sedlment ^Surface  water streams,
    rive Tissue indigenous species of fish/shellfish
(ABS)  Abstract/Overview of  Data Base or Model:  Data are collected  by
    EPA Regional Offices of      national environmental  and
    exposure/risk assessments for    promulgation of effluent  standards
    and guidelines/ and for   setting priorities  for water quality
    control actions.
(CTC)  CONTACTS: Subject matter   Morris L.  Mabbit   (202) 382-7061;
    Computer-related  San Conger  (202) 382-7220;  EPA  Office  Regional
    offices
(DTP)  Type of data collection or monitoring: Combination/Other ambient
    and point source (industrial/municipal   discharge and shellfish)
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented In Data  Base: 129 307  CMA ;11
    conventional uater
(NPP)  Non-pollutant parameters Included in  the  data base:  Biological
    data ;Chemical data ;Political subdivisions
(FRQ)  Frequency of data collection or sampling: one time only
(NOB)  Kumber of observations in data base:  400.(Estimated)
(INF)  Data base Includes: Raw data/observations
(GEO)  Geographic coverage of data base: National
(CDE)  Pollutant identification data are: Storet parameter
(LIM)  Limitation/variation  in data of yhich user should be aware:  None
(DPR)  Data collect./anal, procedures conform to ORD guidelines: ORD
    Guidelines
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit  is satisfactory.
(PRE)  Precision: Precision  and accuracy estimates  exist for all
    measurements
(SDT)  Editting: Edit procedures used and documented.
(CBY)  Data collected by: Regional office
(ABY)  Data analyzed by: Regional office
    EPA lab
(OMB)  Data collected/submitted using QMS-approved  EPA  reporting forms:
    QQ
(USR)  Current regular users of data base: EPA headquarter  offices
    Office of Water Regulations and Standards
    EPA regional offices
    EPA laboratories
    States
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: Regional  office
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access:  EPA software STORET  (Storage and Retrieval
    of feater Quality  Data)   MIDS:5303000101 ;EPA hardware  IBM 370
(CHG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base master file up-date: Weekly


                             339

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                             Accession No.   5303000107
                  (cont)
(CMP)  Completion of form:
    Morris L. Mabbit
    OFC: EPA/(OWWM)/
    \t I* I/ If -tetractoloroethane
       <79-34-5>
    1,lt2-trichloroethane<79-00-5>
    l/l-dichloroethane<75-34-3>
    l,l-dichloroethylene<75-35-4>
    l,2,4,-trichlorobenzene<120-82-l>
    If2-dichlorobenzene<95-50-l>
    l,2-dlchloroethane<107-06-2>
    1,2-dichloroprop ane<7 8-87-5>
    l,2-dichloropropylene<563-54-2>
    l/2-diphenylhydrazine<122-66-7>
    1/2-trans-dichloroethy lene
       <156-60-5>
    l/3-dlchlorobenzene<541-73-l>
    1,4-dichlorobenzene<106-46-7>
    2, 4,6-trichlorophenol<88-06~2>
    2/4/7/8-tetrachlorodibenzo-p-
       dioxin (tcdd)
    1t 4-dichlorophenol<120-83-2>
    1f4-dimethylphenol<105-67-9>
    1t 4-dinitrophenol<51-28-5>
    2/4-dinitrotoluene<121-14-2>
    2/6-dinitrotoluene<606-20-2>
    2-chloroethylvinyl ether<110-75-8>
    2-chloronaphthalene<91-58-7>
    2-chlorophenol<95-57-8>
    2-nitrophenol<88-75-5>
    3/3"-dichlorobenzidine<91-94-l>
    3,4-benzofluoranthene<205-99-2>
    4/4'-ddd(p/p'tde)
    4/4--dde(p,p--ddx><72-55-9>
    4/4'-ddt<50-29-3>
    4/6-dinitro-o-cresol<534-52-I>
    4-bromophenyl phenyl ether
       <101-55-3>
    4-chlorophenyl phenyl ether
       <7005-72-3>
    4-nitrophenol<100-02-7>
    acenaphthene<83-32-9>
    acenaphthylene<208-96-8>
    acidity
acrolein<107-02-8>
acrylonitrile<107-13-l>
aldrin<309-00-2>
alkalinity
anthracene<120-12-7>
antimony<7440-36-0>
arsenic<7440-38-2>
asbestos<1332-21-4>
benzene<71-43-2>
benzidine<92-87-5>
benzo(a)anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
benzo(g,h, i)perylene<191-24-2>
benzo(k)fluoranthene<207-08-9>
beryllium<7440-41-7>
bhc (lindane)-gan«ina<58-89-9>
bhe-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
b is (2-chloroethoxy) methane
bis(2-chloroethyl)ether
bis(2-chloroisopropyl)ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis(chloromethyl)ether<542-88-l>
bronomethane<74-83-9>
butyl benzyl phthalate<85-68-7>
cadnlum<7440-43-9>
carbon tetrachloride<56-23-5>
chlordane<57-74-9>
chlorobenzene<108-90-7>
chlorodibroinoTnethane<124-48-l>
chloroethane<75-00-3>
chloroform<67-66-3>
chloromethane<74-87-3>
chromium<7440-47-3>
chrysene<218-01-9>
copper<7440-50-8>
cyanide<57-12-5>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
                             340

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                             Accession Ho.   5303000107
                  (cont)
    dibenzo(a, h)anthracene<53-70-3>
    dichlorobroraomethane<75-27-4>
    dichlorodifluoromethane<75-71-8>
    dichioromethane<75-09-2>
    dieldrin<60-57-l>
    diethyl  phthalate<84-66-2>
    dimethyl phthalate<131-ll-3>
    dissolved oxygen
    dissolved solids
    endosulfan sulfate<1031-07-8>
    endosulfan-alpha<959-98-8>
    endosulfan-beta<33213-65-9>
    endrin aldehyde<7421-93-4>
    endrin<72-20-8>
    ethylbenzene<100-41-4>
    fecal coiiform
    flucranthene<206-44-0>
    fluorene<86-73-7>
    heptachlor epoxlde<1024-57-3>
    heptachlor<76-44-8>
    hexachlorobenzene
    hexechlorobutadiene<87-68-3>
    hexachlorocyclopentadiene<77-47-4>
    hexachloroethane<67-72-l>
    indeno (l,2,3-cd)pyrene
    isophorone<78-59-l>
    lead<7439-92-l>
    raercury<7439-97-6>
    n-nitrosodi-n-propylamine
       <621-64-7>
    n-nitrosodimethylafldne<62-7S-9>
    n-nitrosodlphenylamine<86-30-6>
    naphthalene<91-20-3>
    nickel<7440-02-0>
    nitrobenzene<98-95-3>
oil and grease
oxygen demand
p-chloro-m-cresol<59-50-7>
PH
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorophenol<87-86-5>
phenanthrene<85-01-8>
phenol<108-95-2>
phosphorus<7723-l 4-0>
pyrene<129-00-0>
seleniuro<7782-49-2>
silver<7440-22-4>
suspended solids
tetrachloroethylene<127-l 8-4>
thalllum<7440-28-0>
toluene<108-88-3>
toxaphene<8001-35-2>
tribromo»ethane<75-25-2>
trichloroethylene<79-01-6>
trichlorofluoromethane<75-69-4>
vinyl chloride<75-01-4>
zinc<7440-66-6>
    nitrogen<7727-37-9>
(CAS)  CAS registry numbers of substances included in data base:  71-55-6
    ; 79-34-5? 79-00-5? 75-34-3? 75-35-4?       120-82-1? 95-50-1;
    107-06-2?  78-87-5? 563-54-2; 122-66-7? 156-60-5?   541-73-1;
    106-46-7?  88-06-2; 120-83-2? 105-67-9? 51-28-5? 121-14-2?
    606-20-2?  110-75-8? 91-58-7? 95-57<-8? 88-75-5; 91-94-1; 205-99-2;
    72-55-9;  50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7? 83-32-9;
    208-96-8;  107-02-8? 107-13-1; 309-00-2; 120-12-7; 7440-36-0?
    7440-38-2? 1332-21-4? 71-43-2? 92-87-5; 56-55-3? 50-32-8? 191-24-2?
    207-08-9;  7440-41-7; 58-89-9; 319-84-6; 319-85-7; 319-86-8?
    111-91-1;       111-44-4? 39638-32-9; 117-81-7? 542-88-1; 74-83-9;
    85-68-7;       7440-43-9? 56-23-5? 57-74-9? 108-90-7; 124-48-1?
    75-00-3;  67-66-3;    74-87-3; 7440-47-3; 218-01-9; 7440-50-8;
    57-12-5?  84-74-2; 117-84-0;       53-70-3; 75-27-4? 75-71-8;
    75-09-2;  60-57-1; 84-66-2; 131-11-3;       1031-07-8; 959-98-8;
    33213-65-9; 7421-93-4? 72-20-8; 100-41-4;   206-44-0? 86-73-7?
    1024-57-3? 76-44-8? 118-74-1? 87-68-3? 77-47-4;    67-72-1;
                             341

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                             Accession No*   5303000107     (cont)

    193-39-5;  78-59-1; 7439-92-1;  7439-97-6; 621-64-7; 62-75-9;
    86-30-6;  91-20-3;  7440-02-0;  98-95-3; 7727-37-9; 59-50-7;
    12674-11-2;       11104-28-2;  11141-16-5; 53469-21-9; 12672-29-6;
    11097-69-1;       11096-82-5;  87-86-5; 85-01-8; 108-95-2; 7723-14-0;
    129-00-0;      7782-49-2;  7440-22-4; 127-18-4; 7440-28-0; 108-88-3;
    8001-35-2;       75-25-2; 79-01-6; 75-69-4; 75-01-4; 7440-66-6
(CNM)  Contact naroe(s): Mabbit,M.L.     ;    Congee,S.
(COR)  Contact organization:  Regional offices
(ROR)  Responsible Organization:  Office of Hater.Oftice of Hater
    Regulations and Standards*Monitoring and Data Support
                             342

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                             Accession No,   5305000901

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Clean Lakes STCRET
(ACR)  Acronym of Data Base  or Models  None
(MED)  ??edia/Subject of Data Base or  Model:  Surface water  Lakes
(A8S)  Abstract/Overview of  Data Base or Model;  The Clean  Lakes  Storet
    Data Base contains    Hater quality data from Clean Lakes  Phase  II
    implementation projects.
(CTC)  CONTACTS: Subject matter   Frank Lapensee  (202) 245-3036   }
    Computer-related  JACA Corp,  (215) 643-5466
(DTP)  Type of data collection or monitoring!  Son point source data
    collection
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in Data  Base:  11 conventional
    water
(NPP)  Non-pollutant parameters included in  the  data base:  Biological
    data /Chemical data ^Collection method /Concentration  measures /
    Geographic subdivision ^Location  ^Physical data ^Political
    subdivisions }  Precipitation ^Salinity  ;Sampling  date ;Site
    description ^Temperature }    Test/analysis  method jVolune/mass
    measures
(DS)  Time period covered by data base: 01-01-77 TO 10-30-83
(TRM)  Termination of data collection: Hot anticipated
(FRQ)  Frequency of data collection or sampling: Other varies
(NOB)  Sumber of observations in data base;  428400.(Estimated)
(NSI)  Estimated annual increase of observations in data base: 153000.
(INF)  Data base includes: Raw data
(MTS)  Total number of stations or sources covered in  data base:  1050,
(NCS)  No. stations or sources currently originating/contributing data:
    1050.
(NOF)  Kumber of facilities  covered in data  base (source monitoring):  (N
    /A.)
(GSO)  Geographic coverage of data base: National
(LQC)  Data elements identifying location of station or source include:
    State ^County ;Lake Name jMajor basinjminor  basin  ;Site description
    •f  Latitude/longitude
(CDS)  Pollutant identification data  are: Uncoded
(LIM)  Limitation/variation  in data of shich user should be aware; Sampl
    ing data covers about 125 lakes.   Baseline   lake  classifications
    in 43 participating states.  Unusual  sampling periods.  Large
    date gaps.  Parameters may differ  by lake.   Restoration period  is
    not indicated.  Data Is  presently     in manual form and is  in the
    process of being automated.
(ANL)  Lab analysis based on EPA-approved or accepted  methods? YES
(AUD)  Lab Audit: Lab audit  is Unknown.
(PRE)  Precision: Precision  and accuracy estimates are not available
(EDT)  Fditting: No known edit procedures exist.
(CBY)  Data collected by: Local agency Counties and universities prior
    to 2/80 ;State agency 43 states ;   Contractor JACA Corp.  Hill
    automate data
(ABY)  Data analyzed by: Local agency sub grantees
    State agency 43 states
    Contractor JACA Corp. will automate data


                             343

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                             Accession No.  5305000901     (cont)

(IDL)  Laboratory Identification:  NO
(AUT)  Authorization for data collection; Statutory authorization  Is P
    L 92-500, Section 314 (Clean Hater Act-CWA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms;
    QQ
(REP)  Form of available reports and outputs of data base:  On-line
    computer
(NUS)  Number of regular users of  data base: None at this
    time-Potential users listed below
(USR)  Current regular users of data base: EPA headquarter  offices
    Office of Water Regulations and Standards:    Criteria  and
    Standards Division, Office of  Analysis and     Evaluation and
    Monitoring and Data support Division
    EPA regional offices
    Other federal agencies
    States
    Universities
(CNF)  Confidentiality of data and Units on access: No limits on
    access to data
(DLC)  Primary physical location of data: NCC/UNIVAC
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: EPA software STQRET  KIDS:5303000101 ;EPA
    hardware IBM 370/168
(CMC)  Direct charge for non-EPA use: none
(UPDT)  Frequency of data base master file up-date: Quarterly
(CMP)  Completion of form;
    Dan Burrows
    OFC: Office of water Regulations and Standards, Criteria
    and Standards Division
    AD: HH-585 401 M St SW Washington, DC 20460
    PH: (202) 755-0100
(DF)  Date of form completion: 01-12-83
(NMAT)  Number of substances represented in data base: 18
(NCAS)  Number of CAS registry numbers in data base: 12-02-82      1
(MAT)  Substances represented in data base;
    BOD
    alkalinity
    carbonates
    chlorides
    coliform
    conductivity
    dissolved oxygen
    hardness
    metals
    organtes
    oxygen demand
    PH
    phosphorus<7723-14-0>
    residue
    sulfate
    temperature
    transparency


                             344

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                             Accession No.   5305000901     (cent)

    turbidity
(CAS)  CAS registry numbers of substances included in data base:  7723-14
    -o
(CRM)  Contact narae(s): Lapensee,F.;    Corp«*J«
(ROR)  Responsible Organization:  Office of  Water.Office of Water
    Regulations and Standards.Criteria and  Standards Divi
                             345

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                             Accession No.   5502000901

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model:  Model State Information System
(ACR)  Acronym of Data Base or Model:  MSIS
(MED)  Media/Subject of Data Base or Model:  Drinking water
(ABS)  Abstract/Overview of Data Base  or Model: Inventory, Hater
    quality sample results,      violations  of the National Interim
    Primary Drinking    Water Regulations (MIPDWR),  enforcement
    actions,  variances and exemptions, certified operators.   Note:
    The Model State Information System (MSIS) is a   primacy agent
    system operated on state designated computer centers.
(CTC)  CONTACTS: Subject matter   John Trax  (202) 382-5526  ;
    Computer-related E.A. Grade  (202) 382-5513;   EPA Office Victor
    J. Kimm (202) 382-5508
(DTP)  Type of data collection or monitoring: Point  source data
    collection PUBLIC WATER SUPPLIES
(STA)  Data Base status: Operational/ongoing
(GRP)  Croups of substances represented in  Data Base: 21 drinking water
    standards
(NPP)  Non-pollutant parameters included in the data base: Compliance
    data ;Geographic subdivision > Inspect! on data ^Location ;
    Political subdivisions production levels ;Sampling date
    ;Test/analysis method ;      Treatment devices ;enforcement actions
    ^variances and exemptions ;    inventory
(DS)  Time period covered by data base: 07-01-77 TO  09-30-82
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: daily  ^weekly ;monthly
    ?as needed ;0ther daily:  turbidity jOther as needed:   ra
(NOB)  Number of observations in data  base:  14500000.(Estimated)
(NEI)  Estimated annual increase of observations in  data base: 4600000.
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or  sources  covered in data base:  97000.
(NCS)  No. stations or sources currently originating/contributing data:
    97000.
(NQF)  Number of facilities covered in data base (source monitoring): 97
    000.
(GEO)  Geographic coverage of data base: Single state;  each state
    operates on its own data base
(LOG)  Data elements identifying location of station or source include:
    State ;County /City ;Toun/township /Street address
    ;Latitude/Longitude
(FAC)  Data elements identifying facility include: Plant facility name
    jPlant location /Parent corp name  ^Parent corp location >    Street
    address ^Program identifier
(CDE)  Pollutant identification data are: Other coding  scheme
(LIM)  Limitation/variation in data of which user should be ayare: Prlma
    ry agent data base not directly    available to  EPA:  access
    through EPA limited to  Pennsylvania, Indiana, Oregon, South  Dakota
    and   Wyoming, where EPA acts as surrogate state.
(DPR)  Data collect./anal, procedures  conform to ORD guidelines:  Samplin
    g plan documented ^Collection method documented  ^Analysis method
    document QA procedures documented


                             346

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                             Accession No.   5502000901     (cont)

(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(ADD)  tab Audit:  Lab audit is satisfactory.
(PRE)  Precision:  Precision and accuracy estimates exist for  all
    measurements
(EOT)  Editting: Edit procedures used and documented.
(CBY)  Data collected by: Local agency varies by state
(ABY)  Data analyzed by:  Local agency varies by state
    State agency varies by state
    Contractor lab to the local water supply
(JDL)  Laboratory Identification: YES
(PR1)  Primary purpose of data collection:  Compliance or enforcement
(PR2)  Secondary purpose  of data collection:  Program evaluation
(AUT)  Authorization for  data collection: Statutory authorization  is
    CFR 40, Section 141
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    158-R-0155
(REP)  Form of available  reports and outputs of data base:  available
    through state primacy agents
(USR)  Current regular users of data base:  States
(CNF)  Confidentiality of data and lira its on access? No limits on
    access to data
(DLC)  Primary physical location of data: State agency
(DST)  Form of data storage: Magnetic tape/magnetic disc
(DAC)  Type of data access: EPA software   MIDS:5502000901  ;through
    state only:  Model State Information Sys hardware:  IBM 370/ UNIVAC
    1100
(CHG)  Direct charge for  non-EPA use: varies by state
(UPDT)  Frequency of data base master file  up-date: Other Varies by
    state
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    Federal Reporting Data System (FRDS)
(CMP)  Completion of form!
    E.A. Gracietf  GFC: EPA/(OWWM)/(OD«)
    AD: 401 M St., S.M. Washington, DC 20460
    PH: (202) 382-5513
(DF)  Date of form completion: 01-28-82
(NMAT)  Number of substances represented in data base: 22
(NCAS)  Number of CAS registry numbers in data base: 17
(MAT)  Substances represented in data base:
    2,4-dlchlorophenoxyacetic            microbiology collform bacteria
       acid (2,4-d)<94-75-7>             nitrate<14797-55-8>
    arsenic<7440-38-2>                   photon emitters
    bariura<7440-39-3>                    radium 226<13982-63-3>
    cacirium<7440-43-9>                   radium 228<15262-20-1>
    chrcmiura<7440-47-3>                  selenium<7782-49-2>
    endrin<72-20-8>                      silver<7440-22-4>
    gross alpha                          silvex<93-72-l>
    lead<7439-92-l>                      toxaphene<8001-35-2>
    lindane<58-89-9>                     turbidity
    manirade beta
    mercury<7439-97-6>
    raethoxychlor<72-43-5>


                             347

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                             Accession No.  5502000901     (cont)

(CAS)  CAS registry numbers of substances included in data base: 94-75-7
    ; 7440-38-2;  7440-39-3; 7440-43-9;     7440-47-3; 72-20-8;
    7439-92-1; 58-89-9; 7439-97-6; 72-43-5;      14797-55-8;
    13982-63-3; 15262-20-1; 7782-49-2; 7440-22-4; 93-72-1;    8001-35-2
(CNM)  Contact nair,e(s): Trax,J.   ;    Harks,A.M./    Kimm/V.J.
(ROR)  Responsible Organization: Office of Water.Office of Program
    Development and Evalation.
                             348

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                             Accession No.   5502000902

(DQ)  Date of Questionalre:  12-02-82
(NAN)  Name of Data Base of  Model:  Federal  Reporting Data  System
(ACR)  Acronym of Data Base  or Model:  FRDS
(MED)  Media/Subject of Data Base or Model:  Drinking Hater
CABS)  Abstract/Overview of  Data Base  or Model:  Annual  report
    containing inventory/ violations,    enforcement actions, and
    variances & exemptions under the   National  Interim Primary
    Drinking Water Regulations    (NIPDWR).
(CTC)  CONTACTS: Subject matter   John Trax  (202)  382-5526 ;
    Computer-related  E.A. Grade <202) 382-5526;   EPA  Office  Victor  J.
    Kimnt (202) 382-5508
(DTP)  Type of data collection or monitoring: Combination/Other
    enforcement actions:  variances and  exemptions;inventory
(STA)  Data Base status: Operational/ongoing
(GRP)  Croups of substances  represented in  Data  Base: 21 drinking water
    standards
(NPP)  Non-pollutant parameters included in the  data base: Compliance
    data ^Geographic subdivision ;inspection data  ;Location }
    Political subdivisions ^Production levels /Treatment devices  /
    variance & exemption ;inventory ^violations  ^enforcement actions
(DS)  Time period covered by data base: 10-01-77 TO 09-30-81
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sanpllng: annually
(NOB)  Number of observations in data  base:  440000.(Estimated)
(NET)  Estimated annual increase of observations in data base:  220000.
(INF)  Data base includes: violations  of the National Interim  Primary
    Drinking Water Regulation   (NIPDWR) standards
(NTS)  Total number of stations or sources  covered  in data base:  225000.
(NCS)  No. stations or sources currently originating/contributing data:
    225000 (through )57 (states andHterritories.)
(NOF)  Number of facilities  covered in data base (source monitoring): 22
    5000.
(GEO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source  include:
    State ;County ;City
(FAC)  Data elements identifying facility include:  Plant facility name
    ;Plant location ;parent corp name  ^Parent corp  location ;     Street
    address ^Program identifier
(CDE)  Pollutant identification data are: Other  coding  scheme
(LIM)  Limitation/variation in data of which user  should be aware:  Data
    only includes regulatory violations,    variances & exemptions, and
    inventory information; all samples are  excluded.
(DPR)  Data collect./anal, procedures  conform to CRD guidelines:  Samplin
    g plan documented /Collection method documented ^Analysis  method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods?  YES
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision and accuracy estimates  exist but are  not
    included in data base
(EDT)  Editting: Edit procedures used  and documented.
(C8Y)  Data collected by: State agency primacy agent
(ABY)  Data analyzed by: Regional office Water Division, Drinking


                             349

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                             Accession No.   5502000902     (cont)

    Water/Mater Supply Branch
    EPA headquarters office of Drinking Water
(IDL)  Laboratory Identification:  NO
(PR1)  Primary purpose of data collection;  Compliance or enforcement
(PR2)  secondary purpose of data collection;  Program evaluation
(AUT)  Authorization for data collection:  Statutory authorization  is 40
    CFR 142,15
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    158-R-0155
(REP)  Form of available reports and outputs  of data base:  Printouts on
    request
    Machine-readable raw data
(NUS)  Number of regular users of data base:  11 offfices
(OSR)  Current regular users of data base:  EPA headquarter  offices
    Office of Drinking skater
    EPA regional offices
(CNF)  Confidentiality of data and Halts on  access: No limits on
    access to data
(DLC)  Primary physical location of data:  NCC/UNIVAC
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software Federal Reporting  Data System
    (FRDS)  MIDS:5502000902 ;   EPA hardware  UNIVAC 1100
(CHG)  Direct charge for non-SPA use: yes
(UPDT)  Frequency of data base master file  up-date: Annually
(ROBSPA)  Related EPA data bases used in conjunction with this data base
    Model State Information System (MSIS)
(CMP)  Completion of form:
    E.A. Graciet  OFC: EPA/(QMWM)/(ODB)
    AD: 401 M St., SH Washington, DC 20460
    PH: (202) 382-5538
(DF)  Date of form completion: 01-28-83
(NMAT)  Number of substances represented in data base: 23
(NCAS)  Number of CAS registry numbers in data bases 17
(MAT)  Substances represented in data base:
    2r 4-dichloropheiioxyacetic            methoxychlor<72-43-5>
       scid (2,4-d)<94-75-7>             microbiology coliforro bacteria
    arsenic<7440-38-2>                   nltrate<14797-55-8>
    barium<7440-39-3>                    photon emitters
    ca                   radium 226<13982-63-3>
    chromium<7440-47-3>                  radium 228<15262-20-1>
    endrin<72-20-8>                      selenium<7782~49-2>
    gross alpha                          silver<7440-22-4>
    lead<7439-92-l>                      silvex<93-72-l>
    lindane<58-89-9>                     total trihalomethanes
    manmade beta                         toxaphene<8001-35-2>
    mercury<7439-97-6>                   turbidity
(CAS)  CAS registry numbers of substances included in data  base: 94-75-7
    ; 7440-38-2; 7440-39-3; 7440-43-9;     7440-47-3; 72-20-8;
    7439-92-1; 58-89-9; 7439-97-6; 72-43-5;      14797-55-8;
    13982-63-3; 15262-20-1; 7782-49-2; 7440-22-4; 93-72-1;     8001-35-2
(CNM)  Contact name(s): Trax/J.   ;    Marks,A.W-;    Kimm,V.J.
(80R)  Responsible Organization: Office of Water.Office of  Program


                             350

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                         Accession No.   5502000902     (cont)



Development and Evalation.
                         351

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                             Accession No.   5502000904

(DQ)  Date of Questionaire: 12-02-82
(STATUS)  Status of entry:  Discontinued
(NAM)  Name of Data Base of Model:  System for Consolidated Permitting
    and Enforcement Data  Base
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data ease or Model:  Effluents as defined  by the
    National Pollutant Discharge Elimination   System (NPDES)  program.
    ;Ground water Bother hazardous waste
(ABS)  Abstract/Over view of Data Base or Model:  Data base will contain
    inventory determination on underground  injection wells/ hazardous
    waste sites, and     National Pollutant Discharge Elimination
    facilities for     primacy states which use the automated  data
    processing system and regions acting as surrogate states.   Permit
    tracking data will also be included.  Further data  will    be
    added in subsequent phases.

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                             Accession No.  5502000904     (cont)

    state by state basis.   may be able to access federally required
    date on national basis.
(LGC)  Data elements Identifying location of station or source include:
    State ;County ;City ;Street address Coordinates latitude/longitude
    ?  Project identifier ^National Pollutant Discharge Elimination
    System (NPDES) number
(FAC)  Data elements Identifying facility Include: Plant facility name
    ;Plant location ;Street address ;SIC code ?   Dun Bradstreet ;NPDES
(CDE)  Pollutant identification data are: Storet parameter
    CAS registry number
    Other coding scheme
(LiM)  Limitation/variation in data of which user should be aware: Data
    base will not be a federal data base,   but will be used by primacy
    states or regions acting as     surrogate states for the
    operational aspects of the    Underground Injection Control (UIC),
    Resource Conservation  and Recovery Act (RCRA), and/or National
    Pollutant Discharge     Elimination System (NPDES) programs.
(DPR)  Data collect./anal, procedures conform to (3RD guidelines: Sanplin
    g plan documented ^Collection method documented
(AND  Lab analysis based on EPA-approved or accepted methods? NO
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision and accuracy estimates partially exist for
    none in phase I/  precision and accuracy might be in later phase
(EOT)  Editting: Edit procedures used but undocumented.
(CSV)  Data collected by: Self reporting permittees
(ABY)  Data analyzed by: Self reporting permittees
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection* Compliance or enforcement
(PR2)  Secondary purpose of data collection: Program evaluation
(AUT)  Authorization for data collection; Statutory authorization is P
    L 93-523, Section 1422 (Safe Drinking Water    Act-SDHA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    158-R-0175, 158-S-0004, and Underground Injection Control (UIC)
    forms  to be developed.
(REP)  Form of available reports and outputs of data base: Printouts on
    request
(NDS)  Number of regular users of data base: 10 or more
(USR)  Current regular users of data base: SPA regional offices
    States
•(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: NCC/IBM
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software SCOPE  MIDS:5502000903 ;£PA
    hardware IBM 370/168
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Other will vary by
    agent
(RSS)  Related EPA automated systems which use data base: Grants
    information and Control     System (GICS)
(RDBEPA)  Related SPA data bases used in conjunction with this data base
    Pernit Compliance System (PCS);    Facility Inventory System (FIS)?


                             353

-------
                             Accession »o.  5502000904
                  (cont)
    Injection Well   Inventory System (IWIS)
(CMP)  Completion of form:
    Dela Kg
    OFCS EPA/(OWWM)/(ODW)
    AD: 401 M St, SW Washington/ DC
    PH: (202) 426-9805
(DF)  Date of form completions 02-15-83
(NMAT)  Number of substances represented in data base: 383
(BiCAS)  Number of CAS registry numbers in data base: 340
(MAT)  Substances represented In data base:
                                         l-(o-chlorophenyl)thiourea
    *0,0-diethyl phosphoricacid/0-p-
       nitrophenyl ester<311-45-5>
    0,0-diethyl-0-(2-pyrazinyl)
       phoshorothioO,0-diethyl-s-(2-
       ethylthio)ethyl)ester of
       phosphorodithioicacid
    0,0-diethyl-s-methyl ester of phos
       1/1,1,2-tetrachloroethane
       <630-20-6>
    1,l/l-trichloroethane<71-55-6>
    1/1,2/2,-tetrachloroethane
       <79-34-5>
    l/l/2-trlchloroethene<79-01-6>
    l
    l/l-dichloroethylene<75-35-4>
    Ifl-dimethylhydra2ine<57-14-7>
    I, 2/3, 4,10,10-hexachloro-l/ 4,43,5,
       8/83-hexahydro-l, 4: 5, 8-endo,
       endo-di
    1/2, 4/5-tetrachlorobenzene
       <9 If 2-dibromo-3-chloropropane
       (dbcp)<96-12-8>
    1,2-dibromoethane<106-93-4>
    If2-dichlorobenzene<95-50-l>
    l/2-dichloroethane<107-06-2>
    l/2-dichloropropane<78-87-5>
    lf2-diethylhydrazine<1615-80-l>
    l,2-dimethylhydrazine<540r73-8>
    1,2-diphenylhydrazine
    1, 2-propanediol<57-55-6>
    If2-trans-dichloroethylene
       <156-60-5>
    l/3-dichlorobenzene<541-73-l>
    1,3-dichloropropene<542-75-6>
    1,3-pentadiene
    1/3-propane sultone<1120-71-4>
    l/4-dichloro-2-butene<110-57-6>
    I/ 4-dichlorobenzene<106-46-7>
    l/4-dloxane< 123-91-1 >
    l/4-naphthoquinone<130-15-4>
   <5344-82-l>
l-(p-chlorobenzoyl)-5-aiethoxy-2-
   methylindole-3-acetic acid
l-chloro-2/3-epoxypropane
   <106-89-8>
l-naphthyl-2-thiourea<86-88-4>
l-naphthylainine<134-32-7>
2,3,4,6-tetrachlorophenol<58-90-2>
2,4,5-trlchlorophenol<95-95-4>
2,4,5-trichlorophenoxyacetic acid
   (T)<93-76-5>
2,4,5-trichlorophenoxypropionic
   acid (TP)<93-72-l>
2,4/6-trichlorophenol<88-06-2>
2/4-dichlorophenol<120-83-2>
2,4-dichlorophenoxyacetic acid (2/
   4-d)<94-75-7>
2f4-dimethylphenol<105-67-9>
2,4-dinitrophenol<51-28-5>
2,4-dinitrotoluene<121-14-2>
2/4-dithiobiuret<541-53-7>
2/6-dichlorophenol<87-65-0>
2,6-dlnitrotoluene<606-20-2>
2-acetylaminoflourene
2-butanone peroxide<1338-23-4>
2-chloronaphthalene<91-58-7>
2-chlorophenol<95-57-8>
2-cyclohexyl-4/6-dinitrophenol
   <131-89-5>
2-fluoroacetamide (l08l)<640-19-7>
2-methyl-2-(methylthio)propionalde
   hyde-o-CsnethylcarbonyDoxirae
   <80-62
   -6>
2-methylaziridine<75-55-8>
2-methyllactonitrile<75-86-5>
2-naphthylaiine<91-59-8>
2-nitropropane<79-46-9>
2-picoline<109-06-8>
2-propyn-l-01<107-19-7>
                             354

-------
                         Accession No.  5502000904
                  (cont)
2-sec butyl-4*6-dinitrophenol
   <88-85-7>
3,3*-dichlorobenzidine<91-94-l>
3,3'-dimethoxybenzidine<119-90-4>
3,3--dimethyl-l(niethylthio)-2-
   butanone-0-( (raethylamj.no)
   carbonyl)oxime
3,3"-diraethylbenzidine<119-93-7>
3f 4-dihydroxy-alpha-(ioethylainino)-
   inethyl benzyl alcohol
3-chloropropionitrile<542-76-7>
3-methylcholanthrene<56-49-5>
4j4'-raethylene-bis-(2-chloroanilin
4,6-dinitro-o-cresol<534-52-l>
4-Aninopyridine<504-24-5>
4-broraophenyl phenyl ether
   <101-55-3>
4-chloro-o-toluidlne hydrochlorlde
   <3165-93-3>
4-nitrophenol<100-02-7>
5- ( erainorae thy 1) -3-lsox azolol
   <2763-96-4>
5-nitro-o-toluldine<99-55-8>
6-amino-l, la^2/8^8a/ 8b-hexahydro-
   e-(hydroxyinethyl}8-Kethoxy-5-
   wethyl-c
7^12-dimethy lbenz{ a) anthracene
   <57-97-6>
7-oxabicycol(2.2.1)heptane-2, 3-
   dicarboxylic acid
<39196-18-4>
acetaldehyde<75-07-0>
aceto acetonltrile<75-05-8>
ac etophenone< 98- 86-2>
acetyl chloride<75-36-5>
acrclein<107-02-8>
acrylamide<79-06-l>
acrylic acid<79-10-7>
acrylonitrile<107-13-l>
aldrin<309-00-2>
allyl alcohol<107-18-6>
alpha, alpha- dime thylbenzylhy dro-
   peroxide<80-15-9>
alpha/ alpha-dime thy Iph en ethyl a mine
   <122-09-8>
alpha- chlorotoluene<100-44-7>
aluminum phosphlde<20859-73-8>
aroitrole<61-82-5>
anncnium picrate<131-74-8>
anlline<62-53-3>
antimony<7440-36-0>
arabamate
arsenic acid<1327-52-2>
arsenic pentoxide<1303-28-2>
arsenic trioxide<1327-53-3>
arsenic<7440-38-2>
asbestos<1332-21-4>
auramine<2465-27-2>
azaserine<115-02-6>
barium cyanide<542-62-l>
benz(c)acridine<225-51-4>
benzal chloride<98-87-3>
benzene<71-43-2>
benzenesulfonyl chloride<98-09-9>
benzene thiol<108-98-5>
benzidine<92-87-5>
benzo( a)anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
benzotrichloride<98-07-7>
benzyl chloride<100-44-7>
beryl liutt dust
bis(2-chloroethoxy)methane
bis(2-chloroethyl)ether
bis(2-chloroisopropyl)ether
   <39638-32-9>
bis{2-ethylhexyl)phthalate
bis(chlororaethyl>ether<542-88-l>
brorooacetone<598-31-2>
broraomethane<74-83-9>
brucine<357-57-3>
cadmium <7440-43-9>
calcium chromate<13765-19-0>
calcium cyanide<592-01-8>
carbon disulf ide<75-15-0>
carbonyl f luoride<353-50-4>
chloral<75-87-6>
chlorambucil<305-03-3>
chlordane<57-74-9>
chlorinated naphthalenes
chloroacetaldehyde<107-20-0>
chlorobenzene<108-90-7>
chlorobenzilate<510-15-6>
chlorodibromoinethane<124-48-l>
chloroethane<75-00-3>
chloroethene<75-01-4>
chloroethyl vinyl ether<110-75-8>
chlorofluorocarbons
chloroforn<67-66-3>
chloromethane<74-87-3>
chloromethyl methyl ether
   <107-30-2>
                         355

-------
                         Accession No.  5502000904
                  (cent)
chloroprene<126-99-8>
chromium<7440-47-3>
chrysene<218-01-9>
copper cyanide<544-92-3>
cresylic acid<1319-77-3>
crotonaldehyde<4170-30-3>
cumene<98-82-8>
cyanide<57-12-5>
cyanogen broraide<506-68-3>
cyanogen chlorlde<506-77-4>
cyanogen<460-19-5>
cyclohexane<110-82-7>
cyclohexanone<108-94-l>
cyclophosphainide<5Q-18~0>
daunomycin<20830-81-3>
ddd(tde)
ddt
di-isopropylfluorophosphate
   <55-91-4>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
di-n-propylnltrosamine<621-64-7>
diallate<2303-16-4>
dibenzo(a/h) anthracene<53-70-3>
dibenzol(ayi)pyrene<189-55-9>
dibromochloromethane<124-48-l>
dibromoraethane<74-95-3>
dichlorodifluoromethane<75-71-8>
dichloromethane<75-09-2>
dichlorophenylarsine<696-28-6>
dieldrin<60-57-l>
diepoxybutane<1464-53-5>
diethyl phthalate<84-66-2>
diethylarsine
diethylstilbestrol<56-53-l>
dlhydrosafrole<94-58-6>
dimethoate<60-51-5>
dimethyl phthalate<131-ll-3>
dimethyl sulfate<77-78-l>
dimethylaraine<124-40-3>
dinethylcarbamoyl chloride
   <79-44-7>
diraethylnitrosamine<62-75-9>
dioxin<828-00-2>
dipropylamine<142-84-7>
endosulfan<115-29-7>
endrin<72-20-8>
ethyl acetate<141-78-6>
ethyl acrylate<140-88-5>
ethyl ether<60-29-7>
ethyl methacrylate<97-63-2>
ethyl methanesulfonate<62-50-0>
ethylbenzene
ethylcyanide<107-12-0>
ethylene bisdlthlocarbaroate
ethylene oxide<75-2l-8>
ethylene thiourea<96-45-7>
ethylenediaiBine<107-15-3>
ethyleneimine<151-56-4>
ferric cyanide
fluoranthene<206-44-0>
fluorene<86-73-7>
fluorine<7782-41-4>
fluoroacetic acid, sodium salt
fluorotrichloromethane<75-69-4>
fornaldehyde<50-00-0>
formic acid<64-18-6>
furan<110-00-9>
furfural<98-01-l>
glycidylaldehyde
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
hexachlorobutadiene<87-68-3>
hexachlorocyclohexane<58-89-9>
hexachlorocyclopentadiene<77-47-4>
hexachlorophene<70-30-4>
hexachloropropene<1888-71-7>
hexacloroethane<67-72-l>
hexaethyl tetraphosphate<757-58-4>
hydrazine<302-01-2>
hydrocyanic acid<74-90-8>
hydrofluoric acid<7664-39-3>
hydrogen sulfide<7783-06-4>
hydroxydimethyl arsine oxide
   <75-60-5>
indeno <1, 2,3-cd)pyrene<193-39-5>
iodomethane<74-88-4>
iron dextran<9004-66-4>
isobutyl alcohol<78-83-l>
isocyanic acid, methyl ester
   <624-83-9>
isophorone<78-59-l>
isosafrole<120-58-l>
kepone<143-50-0>
lasiocarpine<303-34-4>
lead acetate<301-04-2>
lead phosphate<7446-27-7>
lead subacetate<1335-32-6>
lead<7439-92-l>
m-cresol<108-39-4>
ra-xylene<108-38-3>
maleic anhydride<108-31-6>
naleic hydrazide<123-33-l>
malononitrile<109-77-3>
                         356

-------
                         Accession No.  5502000904
                  (cont)
melphalan<148-82-3>
mercury fulminate<628-86-4>
mercury<7439-97-6>
methanethiol<74-93-l>
methanol<67-56-l>
methanonaphthalene
raethapyrilene<91-80-5>
methomyl<16752-77-5>
methyacrylonitrile<126-98-7>
methyl chlorocarbonate<79-22-l>
methyl ethyl ketone Cnek)<78-93-3>
methyl ethyl ketone peroxide
   <1338-23-4>
methyl hydrazine<60-34-4>
methyl iodide<74-88-4>
methyl isobutyl ketone<108-10-l>
methyl raethacrylate<30-62-6>
methyl parathion<298-00-0>
methylthiouracil<56-04-2>
n,,n-bis(2-chloroethyl)-2-naphthyla
   iBine<494-03-l>
n-butyl alcohol<71-36-3>
n-methyl-n*-nitro-n-nitrosoguanidi
   ne<70-25-7>
n-nitroso-n-ethylurea<759-73-9>
n-nltroso-n-methylurea<684-93-5>
n-nitroso-n-methylurethane
   <615-53-2>
n-nltrosodi-n-butylamine<924-16-3>
n-nitrosodi-n-propylamine
   <621-64-7>
n-nitrosodiethanolamln€<1116-54-7>
n-nitrosodiethylaaiine<55-18-5>
n-nitrosodimethylamine<62-75-9>
n-nitrosodiphenylamine<86-30-6>
n-nitrosomethylvinylamine
n-nitrosoplperi<]ine<100-75-4>
n-nitrosopyrrolidine<930-55-2>
n-phenylthiourea<103-85-5>
n-propylamine<107-10-8>
naphthalene< 9l-20-3>
nickel carbonyl<12612-55-4>
nickel cyanide<557-19-7>
nicotine and salts<54-ll-5>
nitric oxide<10102-43-9>
nitrobenzene<98-95-3>
nitrogen dioxide<10102-44-0>
nitrogen peroxide<10102-44-0>
nitrogen tetroxide<10544-72-6>
nitroglycerine<55-63-0>
o-cresol<95-48-7>
o-toluidine hydrochloride
   <636-21-5>
o-xylene<95-47-6>
octamethylpyrophosphoramide (QMPA)
   <152-16-9>
oil and grease
oleyl alcohol condensed with 2
   moles ethylene oxide
osmium tetroxlde<20816-12-0>
p-chloro-m-cresol<59-50-7>
p-chloroaniline<106-47-8>
p-cresol<106-44-5>
p-dimethylaminoazobenzene<60-ll-7>
p-nitroaniline<100-01-6>
p-xylene<10€-42-3>
paraldehyde<123-63-7>
parathion<56-38-2>
pentachlorobenzene<608-93-5>
pentachloroethane<76-01-7>
pentachloronitrobenzene (PCNB)
   <82-68-8>
pentachlorophenol<87-86-5>
phenacetin<62-44-2>
phenol<108-95-2>
phenyl dichloroarsine<696-28-6>
phenylmercury acetate<62-38-4>
phorate<298-02-2>
phosgene<75-44-5>
phosophorothioic acid,0,0-
   dimethyl ester,o-ester with n,,
   n-dimethyl
   ben
phosphine<7803»51-2>
phosphorus sulfide<1314-80-3>
phthalic anhydride<85-44-9>
polybrominated biphenyls (PBBs)
polychlorinated biphenyls (PCBs)
potassium cyanide<151-50-8>
potassiuu silver cyanide<506-61-6>
pronamide<23950-58-5>
propionitrile<107-12-0>
pyridine<110-86-l>
quinones
reserpine<50-55-5>
resoreinol<108~46-3>
saccharin<81-07-2>
safrole<94-S9-7>
selenious acid<7783-00-8>
selenium sulfide<7446-34-6>
selenourea<630-10-4>
silver cyanide<506»64-9>
sodium azlde<26628-22-8>
                         357

-------
                             Accession No.  5502000904     (cont)

    sodium cyanide<143-33-9>             toluene diisocyanate<26471-62-5>
    streptozotocin<18883-66-4>           toluene<108-88-3>
    strontium sulfide<1314-96-l>         toluenediamii»e<25376-45-6>
    strychnine<57-24-9>                  toxaphene<8001-35-2>
    tetrachloroethene<127-18-4>          tribronoiðane<75-25-2>
    tetrachloromethane<56-23-5>          trichloroethane<25323-89-l>
    tetraethyl d i thi op yro phosphate       trichloroethene<79-01-6>
       <3689-24-5>                       trichlorofluoromethane<75-69-4>
    tetraethyl lead<78-00-2>             trichloromethanethiol<75-70-7>
    tetraethyl pyrophosphate<107-49-3>   trinitrobenzene<99-35-4>
    tetrahydofuran<109-99-9>             tris(2,3-dlbronopropyl)phosphate
    tetranitromethane<509-14-8>             <126-72-7>
    thallic oxide<13!4-32-5>             trypan blue<72-57-l>
    thallium acetate<563-68-8>           uracil austard<66-75-l>
    thallium carbonate<29809-42-5>       urethane<51-79-6>
    thallium chloride<7791-12-0>         vanadic acid, ammonium salt
    thallium nitrate<10102-45-l>            <11115-67-6>
    thallium selenite                    vanadium pentoxide<1314-62-l>
    thallium sulfate<7446-18-6>          vlnylidene chloride<75-35-4>
    thioacetamide<62-55-5>               xylene<1330-20-7>
    thioseraicarbazide<79-19-6>           zene sulfonaraide
    thiourea<62-56-6>                    zinc cyanide
    thiuram<137-26-8>                    zinc phosphide<1314-84-7>
(CAS)  CAS registry numbers of substances Included in data base: 311-45-
    5; 630-20-6; 71-55-6; 79-34-5;    79-01-6; 75-34-3; 75-35-4;
    57-14-7; 106-93-4; 95-50-1; 107-06-2;      78-87-5; 1615-80-1;
    540-73-6; 122-66-7; 57-55-6; 156-60-5; 541-73-1;       542-75-6;
    504-60-9; 1120*71-4; 110-57-6; 106-46-7; 123-91-1;     130-15-4;
    534^-82-1; 106-89-8; 86-88-4; 134-32-7; 58-90-2; 95-95-4;
    93-76-5; 93-72-1; 88-06-2; 120-83-2; 94-75-7; 105-67-9; 51-28-5;
    121-14-2; 541-53-7; 87-65-0; 606-20-2; 1338-23-4; 91-58-7; 95-57-8;
    131-89-5; 640-19-7; 80-62-6; 75-55-8; 75-86-5; 91-59-8; 79-46-9;
    109-06-8; 107-19-7; 88-85-7; 91-94-1; 119-90-4; 119-93-7; 542-76-7;
    56-49-5; 101-14-4; 534-52-1; 504-24-5; 101-55-3; 3165-93-3;
    100-02-7;      2763-96-4; 99-55-8; 57-97-6; 145-73-3; 39196-18-4;
    75-07-0; 75-05-8;       98-86-2; 75-36-5; 107-02-8; 79-06-1;
    79-10-7; 107-13-1; 309-00-2;     107-18-6; 80-15-9; 122-09-8;
    100-44-7; 20859-73-8; 61-82-5; 131-74-8;      62-53-3; 7440-36-0;
    1327-52-2; 1303-28-2; 1327-53-3; 7440-38-2;       1332-21-4;
    2465-27-2; 115-02-6; 542-62-1; 225-51-4; 98-87-3; 71-43-2;
    98-09-9; 108-98-5; 92-87-5; 56-55-3; 50-32-8; 98-07-7; 100-44-7;
    111-91-1; 111-44-4; 39638-32-9; 117-81-7; 542-88-1; 598-31-2;
    74-83-9; 357-57-3; 7440-43-9; 13765-19-0; 592-01-8; 75-15-0;
    353-50-4; 75-87-6; 305-03-3; 57-74-9; 107-20-0; 108-90-7; 510-15-6;
    124-48-1; 75-00-3; 75-01-4; 110-75-8; 67-66-3; 74-87-3; 107-30-2;
    126-99-8; 7440-47-3; 218-01-9; 544-92-3; 1319-77-3; 4170-30-3;
    98-82-8; 57-12-5; 506-68-3; 506-77-4; 460-19-5; 110-82-7; 108-94-1;
    50-18-0; 20830-81-3; 55-91-4; 84-74-2; 117-84-0; 621-64-7;
    2303-16-4;      53-70-3; 189-55-9; 124-48-1; 74-95-3; 75-71-8;
    75-09-2; 696-28-6;     60-57-1; 1464-53-5; 84-66-2; 56-53-1;
    94-58-6; 60-51-5; 131-11-3?     77-78-1; 124-40-3; 79-44-7;
    62-75-9; 828-00-2; 142-84-7; 115-29-7;    72-20-8; 141-78-6;


                             358

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                             Accession No,  5502000904     (cont)

    140-88-5;  60-29-7; 97-63-2; 62-50-0; 100-41-4;     107-12-0;
    75-21-8;  96-45-7; 107-15-3; 151-56-4; 206-44-0; 86-73-7;
    7782-41-4; 75-69-4? 50-00-0; 64-18-6; 110-00-9; 98-01-1; 76-44-8;
    118-74-1;  87-68-3; 58-89-9; 77-47-4; 70-30-4; 1888-71-7; 67-72-1;
    757-58-4;  302-01-2; 74-90-8; 7664-39-3; 7783-06-4; 75-60-5;
    193-39-5;       74-88-4; 9004-66-4; 78-83-1; 624-83-9; 78-59-1;
    120-58-1;  143-50-0;   303-34-4; 301^04-2; 7446-27-7; 1335-32-6;
    743S-92-1; 103-39-4;   108-38-3; 108-31-6; 123-33-1; 109-77-3;
    148-82-3;  628-86-4;      7439-97-6; 74-93-1; 67-56-1; 91-80-5;
    16752-77-5; 126-98-7; 79-22-1;       78-93-3; 1338-23-4; 60-34-4;
    74-88-4;  108-10-1; 80-62-6; 298-00-0;    56-04-2; 494-03-1;
    71-36-3;  70-25-7; 759-73-9; 684-93-5? 615-53-2;    924-16-3;
    621-64-7;  1116-54-7; 55-18-5; 62-75-9; 86-30-6; 100-75-4;
    930-55-2;  103-85-5; 107-10-8; 91-20-3; 12612-55-4; 557-19-r7;
    54-11-5;       10102-43-9; 98-95-3; 10102-44-0; 10102-44-0;
    10544-72-6; 55-63-0;     95-48-7; 636-21-5; 95-47-6; 152-16-9;
    20816-12-0; 59-50-7; 106-47-8;       106-44-5; 60-11-7; 100-01-6;
    106-42-3;  123-63-7; 56-38-2; 608-93-5;   76-01-7; 82-68-8; 87-86-5;
    62-44-2;  108-95-2; 696-28-6; 62-38-4;      298-02-2; 75-44-5;
    7803-51-2; 1314-80-3; 85-44-9; 151-50-8; 506-61-6;      23950-58-5;
    107-12-0;  110-86-1; 50-55-5; 108-46-3; 81-07-2; 94-59-7;
    7783-00-8; 7446-34-6; 630-10-4; 506-64-9; 26628-22-8; 143-33-9;
    18863-66-4; 1314-96-1; 57-24-9; 127-18-4; 56-23-5; 3689-24-5;
    78-00-2;  107-49-3; 109-99-9; 509-14-8; 1314-32-5; 563-68-8;
    29809-42-5; 7791-12-0; 10102-45-1; 7446-18-6; 62-55-5; 79-19-6;
    62-56-6;  137-26-8; 26471-62-5; 108-88-3; 25376-45-8; 8001-35-2;
    75-25-2;  25323-89-1; 79-01-6; 75-69-4; 75-70-7; 99-35-4; 126-72-7;
    72-57-1;  66-75-1; 51-79-6; 11115-67-6; 1314-62-1; 75-35-4;
    1330-20-7;      1314-84-7
(CffM)  Contact narae(s)! Belk,T.E. ;    Ng,D.;    Kiram,V.J.
(ROR)  Responsible Organization; Office of Water.Office of Program
    Development and Evalation*
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                             Accession No.   5502000905

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Surface  Impoundment Assessment
    information System
(ACR)  Acronym of Data Base  or Model:  SIAIS
(MED)  Media/Subject of Data Base or Model: Ground  water  ;Solid  uaste
(A8S)  Abstract/Overview of  Data Base  or Model;  The purpose  of the
    Surface Impoundment Assessment  (SIA) is to obtain national data on
    the number/ location,    and construction of  impoundments in
    existence/ to evaluate  the pollution potential of a  representative
    random sample of     these impoundments based upon hydrogeologic
    criteria/ to    obtain information on existing  State  legislation/
    regulations and existing programs/ to seek Information on
    monitoring activities/ to compile  data  on ground Hater   pollution
    casts and to solicit state recommendations for     a ground water
    program designed to protect the Nation's     ground water from
    contamination from surface impoundments.  No pollutant
    parameters—instead/ "waste hazard potentials"  are given on  a  scale
    of 1 to 10.
(CTC)  CONTACTS: Subject matter   Thora Belle  (202)  382-5530;
    Computer-related Larry wiener (202)382-2799; EPA Office    Vic  Kimm
    (202)382-5508
(DTP)  Type of data collection or monitoring: Point source data
    collection surface impoundments
(STA)  Data Base status: Discontinued
(NPP)  Non-pollutant parameters included in the  data base: Discharge
    points ;Flow rates ;Geographlc  subdivision ^Health effects ;
    Industry ;Location ;Manufacturer ;Political  subdivisions ;Site
    description ;    Volume/mass measures ;hydro-geologic
    characteristics ;distance to drinkwater source  ;     liner
    Information
(DS)  Time period covered by data base: 01-01-78 fO 06-30-80
(TRM)  Termination of data collection: Occurred  06/30/80
(FRQ)  Frequency of data collection or sampling: one time only
(NOB)  Number of observations in data  base: 34000 sites.(Actual)
(NEI)  Estimated annual increase of observations in data  base: (N/A.)
(INF)  Data base includes! Reference data/citations
(NTS)  Total number of stations or  sources covered  in data base:  34000
    (impoundments.)
(NCS)  No. stations or sources currently originating/contributing  data:
    34000.
(NOF)  Number of facilities  covered in data base (source  monitoring): 31
    000.
(GEO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source include:
    State ^County ;City ;Town/township ;Street address ^Coordinates
    Latitude/Long!tu Project identifier
(FAC)  Data elements identifying facility include:  Plant  facility  name
    >Plsnt location jParent  corp name  ;Parent corp  location  ;    Street
    address ;SIC code ;Dun Bradstreet  ;NPDSS
(CDE)  Pollutant identification data are: Other  coding scheme
(LIM)  Limitation/variation in data of which user should  be  aware:  All
    data was researched by state from  existing    information records.


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                             Accession No.   5502000905      (cont)

    Represents universe of 60/000 sites.  Analysis method & quality
    assurance procedures not     applicable.
(DPR)  Data collect./anal, procedures conform to GRD guidelines:  Samplin
    g plan documented ^Collection method documented
(ANL)  Lab analysis based on EPA-approved or  accepted methods? NO
(AUD)  Lab Audit:  Data not based on lab analysis.
(PRE)  Precision:  Precision and accuracy estimates are not available
(EOT)  Fditting:  Edit procedures used and documented.
(CB¥>  Data collected by: State agency EPA type agencies in 47 states
    ;Contractor in 3 states
(ABY)  Data analyzed by: State agency 47 states
    EPA headquarters Office of Drinking Hater
(IDL)  Laboratory identification: NO
(PRl)  Primary purpose of data collection:  Development of regulations
    or standards
(PR2)  Secondary  purpose of data collection:  Program evaluation
(AUT)  Authorization for data collection: Statutory authorization is P
    L 93-523, Section 1442(b)(3)(c) (Safe     Drinking Water Act-SDVA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting  forms:
    158-S-78004
(REP)  Form of available reports and outputs of data base: Printouts on
    request
    Machine-readable ran data
    On-line computer
(NUS)  Number of  regular users of data base:  5
(OSR)  Current regular users of data base:  EPA headquarter offices
    Office of Drinking Water
    EPA regional  offices
    States
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: NCC/IBM
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: Commercial software SYSTEM 2000 ;EPA
    software SIAIS ;EPA hardware IBM 370/3032
(CHG)  Direct charge for non-EPA use: no outside use /access permitted
(QPDT)  Frequency of data base master file up-date: Other data
    collection terminated
(CMP)  Completion of form:
    Larry Wiener
    QFC: EPA/(OKHM)/(ODW)
    AD: 401 M St, SW Washington, DC 20460
    PH: (202) 426-9805
(DF)  Date of form completion: 02-15-83
(CNM)  Contact name(s): Belk,T.   ;    Wiener,L. ;    Kiram,V.
(ROR)  Responsible Organization: Office of Hater.Office of Program
    Development and Evalation.
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                             Accession No.   5505000901

(DQ)  Date of Questionaire:  12-02-82
(NAM)   Name of Data Base of  Model:  Ground Water  Supply  Survey
(ACR)   Acronym of Data Base  or Model:  GVSS
(MED)   Media/Subject of Data Base or Model:  Drinking  water
(ABS)   Abstract/Overview of  Data Base  or Model:  This  data base will
    contain the results of analysis    for volatile synthetic organic
    compounds in single samples from  1000 public  water systems  served
    by ground water sources.    sources.
(CTC)   CONTACTS: Subject matter J.J.  Hestrick,  Chief,
    MSTB/TSD/ODM/OWWM    ;     Computer-relat
(DTP)   Type of data collection or monitoring:  Ambient data  collection
(STA)   Data Base status: Discontinued
(NPP)   Won-pollutant parameters included in  the  data  base:  Chemical
    data ;Flou rates ^Location ^Physical data  ^Political subdivisions ;
    Population density ;Sampling data  >Site  description >Temperature ;
    Test/analysis method ^Treatment devices
(DS)  Time period covered by data base: 12-01-80 TO 12-31-81
(TRM)   Termination of data collection: Discontinued
(FRQ)   Frequency of data collection or sampling: one  tine  only
    ;Resamp ling as necessary for verification
(NOB)   Number of observations in data  base:  3000(Actual)
(NEI)   Estimated annual increase of observations in data base: 33000
(IW)   Data base includes: Raw data/observations ;Summary  or aggregate
    observations
(NTS)   Total number of stations or  sources covered in data  base:  1000
(NCS)   No. stations or sources currently originating/contributing data:
    82
(NQF)   Number of facilities  covered in data  base (source monitoring); 0
(GEO)   Geographic coverage of data  base: National
(LOG)   Data elements identifying location of station  or source include:
    State ;County ?City jStreet address jProject identifier >PWS number
(FAC)   Data elements identifying facility Include: Plant/facility name
    jPlant location ;Parent  corp name  ;Parent  corp location ;     Street
    address
(CDS)   Pollutant identification data are: Uncoded
(LIM)   Limitation/variation  in data of which user  should be aware: All
    values are the result of analysis  of single    grab  samples.   500
    sites are selected at random.   500 are    suspected  of  having
    potentially contaminated water  source.
(DPR)   Data collect./anal, procedures  conform  to CRD  guidelines: Cuideli
    nes have been written but are  not  yet  approved. ^Sampling plan
    documented Collection method documented  /Analysis method documented
    ;QA procedures documented
(ANL)   tab analysis based on EPA-approved  or accepted methods? YES
(AUD)   Lab Audit: Lab audit  Is satisfactory
(PRE)   Precision: Precision  and accuracy estimates exist for all
    measurements
(EDT)   Editting: Edit procedures used  but undocumented
(CBY)   Data collected by: Local agency-some  local  water systems  collect
    samples and site data. ;     State agency-some state agencies
    collect samples  and site data. ;    Regional  office -  some
    regional offices collect  samples  and site data.  '/   EPA


                             362

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                             Accession No.   5505000901      (cont)

    lab-Technical Support Division, ODW, QWWM ;Contractor lab - SRI
    International
(ABY)  Data analyzed by:  EPA lab -  Technical Support Division, OCW/
    QKHf-'
    Contractor lab - SRI  International
    EPA headquarters - ODW,  OWWM
(IDL)  Laboratory identification: YES
(PR2)  Secondary purpose  of  data collection:  Risk assessment
(AUT)  Authorization for  data collection: Statutory authorization  is  PL
    93-523 Sec. 1442 (a)
       0-20-6>                           benzene<71-43-2>
    1,l,l-trichloroethane<71-55-6>       bromodichloromethane<75-27-4>
    l,l/2,2-tetrachloroethane<79-34-5>   carbon tetrachloride<56-23-5>
    l,l,2-trichloroethane<79-00-5>       chlorobenzene<108-90-7>
    l,l-dichloroethane<75-34-3>          chloroform<67-66-3>
    l,l-dichloroethylene<75-35-4>        cis-l,2-dlchloroethylene<156-59-2>
    l,2-dibromo-3-chloropropane (DBCP)   dibromochloromethane<124-48-l>
       <96-12-8>                         dichloroniethane<75-09-2>
    l,2-dichlorobenzene<95-50-l>         ethylbenzene<100-41-4>
    If2-dichloroethane<107-06-2>         iso-propylbenzene<98-82-8>
    l,2-dichloropropane<78-87-5>         ffl-xylene<108-38-3>
    If3-dichlorobenzene<541-73-l>        n-propylbenzene<103-65-l>


                             363

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                             Accession No.   5505000901     (cont)

    o-chlorotoluene<95-49-8>             toluene<108-88-3>
    o-xylene<95-47-6>                    total organic carbon
    p-chlorotoluene<106-43-4>            tribromoffiethane<75-25-2>
    p-xylene<106-42-3>                   trichloroethylene<79-01-6>
    styrene<100-42>5>                    vinyl ehloride<75-01-4>
    tetrachloroethylene<127-18-4>
(CAS)  CAS registry numbers of substances Included in data base: 630-20-
    6; 71-55-6;  79-34-5;  79-00-5; 75-34-3;       75-35-4; 96-12-8;
    95-50-1; 107-06-2; 78-87-5; 541-73-1; 106-46-7;     71-43-2;
    75-27-4; 56-23-5; 108-90-7; 67-66-3; 156-59-2; 124-48-1;
    75-09-2; 100-41-4; 98-82-8; 108-38-3; 103-65-1; 95-49-8; 95-47-6;
    106-43-4; 106-42-3; 100-42-5; 127-18-4; 108-88-3; 75-25-2; 79-01-6;
    75-01-4
(CNM)  Contact name(s): Westrick,J.J.  ;    Hello,J.M.
(COR)  Contact organization: J.J. Westrick, T0S/OCH/GHKH
(RQR)  Responsible Organization: Office of  Solid Haste and Emergency
    Response.Office of Solid Waste.Office of Manageae
                             364

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                             Accession  No.   5505000902

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model;  Injection Hell  Inventory  Data Bases
(ACR)  Acronym of Data Base  or  Model:  IUIS
(MED)  Wedia/Subject of Data Base or Model:  No specific  media-inventory
    of underground injection facilities
(ABS)  Abstract/Overview of  Data Base  or Model:  Injection Well
    Inventory Data Base contains an inventory    of  underground
    injection facilities and the count  of injection    wells  by class/
    type and status associated  with each facility.
(CTC)  CONTACTS:  Subject matter  Thomas E. Belk  (202)  426-3934     ;
    Computer-related  Dela N
(DTP)  Type of data collection  or monitoring: Cosbination/Other data
    collection -underground  injection   facilities
(STA)  Data Base  status: Discontinued
(NPP)  Non-pollutant parameters included in  the  data base: Location
    political subdivisions  ;Hell class and  type ;Hell  status
(DS)  Time period covered by data base: 07-01-80 TO  07-31-81
(TRH)  Termination of data collection:  Anticipated  12/31/82
(FRQ)  Frequency  of data collection or  sampling: one tine only
(NOB)  Number of  observations in data  base:  40290(Actual)
(NEI)  Estimated  annual increase of observations in  data base: (N/A)
(INF)  Data base  includes: Summary or  aggregate  observations
(NTS)  Total number of stations or sources covered in  data base: 59
(NCS)  No. stations or sources  currently originating/contributing  data:
    22
(NOF)  Number of  facilities  covered in  data  base (source monitoring):  26
    0600
(GEO)  Geographic coverage of data base: National
(LQC)  Data elements identifying location of station or source include:
    State ;County ;City >Street address ;Project identifier
(FAC)  Data elements identifying facility include: Plant/facility  name
    ;Plant location ^Parent  corp name  ^Parent corp location  ;   Street
    address ;Dun  Bradstreet  ;Program identifier
(LIM)  Limitation/variation  in  data of  which user should be  aware: Data
    base contains only counts of injection wells and not the specific
    location of each well.
(AND  Lab analysis based on EPA-approved or accepted  methods? NO
(AUD)  Lab Audit: Lab audit  is  not based on  lab  analysis.
(PRE)  Precision: Precision  and accuracy estimates are not available.
(EOT)  Edit ting:  Edit procedures used  and documented.
(CBY)  Data collected by: State agency  ^Regional office
(ABY)  Data analyzed by: State  agency
    Regional office
(IDL)  Laboratory identification: NO
(AUT)  Authorization for data collection: Statutory  authorization  is PL
    93-523 section 1422 Safe Drinking    Water Act (SDMA).
(OMB)  Data collected/submitted using  OMB-approved EPA reporting forms:
    158-R0170
(REP)  Form of available reports and outputs of data base: Printouts on
    request
(NUS)  Number of  regular users  of data base: 11
(USR)  Current regular users of data base:  EPA headquarter offices -


                             365

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                             Accession No.   5505000902      (cont)

    Office of Drinking Kater
    EPA regional offices

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                             Accession No.   5505000903

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Same of Data Base of Model:  Federal  Underground  Injection
    Control Data Base
(ACR)  Acronym of Data Base or Model:  FURSDB
(MED)  Media/Subject of Data Base or  Model: Other-Federal  inventory  of
    underground injection facilities   and wells
(ABS)  Abstract/Overview of Data Base or Model: The FURS Data  Base
    contains an inventory of injection  facilities  and  wells.
(CTC)  CONTACTS: Subject matter  Thomas E.  Belk (202)382-5530;
    Computer-related Avrum V. Marks (202)382-5513;  EPA  Office   Victor
    J. Kimm (202)382-5500
(DTP)  Type of data collection or monitoring:  Combination/Other data
    collection - inventory of injection  wells
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances represented in  Data Base: RCRA hazardous
    wastes
(NPP)  Non-pollutant parameters included in the data base: Compliance
    data ^Elevation ^Location ^Political subdivisions >    Temperature
(DS)  Time period covered by data base: 10-01-81 to Current
(TRM)  Termination of data collection: Not  applicable
(FRQ)  Frequency of data collection or sampling: quarterly ^annually
(NOB)  Number of observations in data base: 41/000
(NEI)  Estimated annual increase of observations in data base:  500
(INF)  Data base includes: Summary or aggregate observations
(NTS)  Total number of stations or sources  covered  in data base:  57
(NCS)  No. stations or sources currently originating/contributing data:
    57
(NQF)  Number of facilities covered in data base (source monitoring): 41
    ,000
(GSO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source  include:
    State jCounty /City ^Street address ^Coordinates -
    latitude/longitude
(FAC)  Data elements identifying facility include:  Plant/facility name
    ;Plsnt location ^Parent corp name ;Parent  corp  location ;     Street
    address ;SIC code ;Dun Bradstreet jProgram identifier
(CDE)  Pollutant identification data  are: Other coding  schene-HH  numbers
(LiM)  Limitation/variation in data of which user should be aware: This
    data base covers a period of one  fiscal year prior  to  the  actual
    fiscal year.
(ANL)  Lab analysis based on EPA-approved or accepted methods?  Not
    applicable
(AUD)  Lab Audit: Not applicable
(PRE)  Precision: Not applicable
(EDT)  Fditting: Edit procedures used and documented
(CBY)  Data collected by; State agency ;Regional office
(ABY)  Data analyzed by: State agency
    Regional office
    EPA headquarters
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Development  of  regulations
    or standards


                             367

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                             Accession No.   5505000903     (cont)

(PR2)  Secondary purpose of data collection:  Program evaluation
(AOf)  Authorization for data collection: Statutory authorization  is
    P.L. 93-523 Safe Drinking Water Act (SDWA)
(OMB)  Data collected/submitted using QMS-approved EPA reporting forms:
    QG
(REP)  Form of available reports and outputs  of data base:  Printouts on
    request
    On-line computer
(BUS)  Number of regular users of data base:  11
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Drinking Water
    EPA regional offices
(CNF)  Confidentiality of data and limits on  access: No Units on
    access to data
(DLC)  Primary physical location of data: NCC/IBM
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software: Federal Underground Injection
    Control reporting system ;     EPA hardware IBM 370/168
(CHG)  Direct charge for non-EPA use: Yes
(UPDT)  Frequency of data base master file up-date: Annually6-
(CMP)  Completion of form:
    Avrum V. Marks
    OFC: EPA/OWWM/aDM/OPD&E/CSB
    AD: 401 M Street, S.W., Washington, D.C.   20460
    PH: (202) 382-5513
(DF)  Date of form completion: 02-15-83
(CUM)  Contact name(s): Belk,T.E. }    Marks,A.;    Kimffl,V.J.
(ROR)  Responsible Organization: Office of Solid Haste and  Emergency
    Response.Office of Solid Waste.Office of  Managene
                             368

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                             Accession  No.   5601100901

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Hazardous Waste Data Management
    System
(ACR)  Acronym of Data Base  or Model:  HWDMS
(MED)  Media/Subject of Data Base or  Model:  Runoff hazardous  waste
    /Soil >Solid waste /Surface uater impoundments/ lagoons
(ABS)  Abstract/Overview of  Data Base or Model:  Inventory of  hazardous
    waste generators/ treaters/ transporters/  storers/  and disposers
    actively in operation.  Contains      facility description and
    location information* permit  information/ and waste
    characteristics.
(CTC)  CONTACTS: Subject matter   John  Connolly   (202)  382-4752    }
    Computer-related    Connie Drew (202) 382-2430  ;   EPA Office James
    Susha (202) 755-0811
(DTP)  Type of data collection or monitoring:  Point source data
    collection hazardous waste generators/ treaters/     transporters/
    storers & disposers
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in Data  Base;  RCRA hazardous
    wastes
(NPP)  Son-pollutant parameters included in  the  data base: Geographic
    subdivision ;Industry ^Location ^Manufacturer /Political
    subdivisions Treatment devices ;Volume/mass  measures
(DS)  Time period covered by data base: 11-19-80 TO Present
(TRM)  Termination of data collection:  Not anticipated
(FRQ)  Frequency of data collection or  sampling: ongoing
(ROB)  Number of observations in data base:  65000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: 0.
(INF)  Data base includes: Reference  data/citations
(NTS)  Total number of stations or sources covered in  data base:  65000.
(NCS)  No. stations or sources currently originating/contributing data:
    65000.
(NQF)  Number of facilities  covered in  data  base (source monitoring): 65
    000.
(GEO)  Geographic coverage of data base: National
(LQC)  Data elements identifying location of station or source include:
    State ^County ;Congressional district ;City  ;Town/township >Street
    address /     Coordinates latitude/longitude
(FAC)  Data elements identifying facility Include; Plant facility name
    ;Plent location ;street  address JSIC code ;    Dun  Bradstreet  ;NPDES
(CDE)  Pollutant identification data  are: Other  coding  scheme
(LlM)  Limitation/variation  in data of  which user should be  aware: None
(AND  Lab analysis based on EPA-approved or accepted  methods? NO
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision  and accuracy estimates are  not available
(EOT)  Editting: Edit procedures used and documented.
(CBY)  Data collected by: Self reporting
(AB¥)  Data analyzed by: Self reporting
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection: Compliance  or enforcement
(AUT)  Authorization for data collection: Statutory authorization is P
    L 94-580 as amended/Resource Conservation and  Recovery  Act-RCRA)


                             369

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                             Accession No.   5601100901
                  (cont)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    158S79016 (under development)
(REP)  Form of available reports and outputs  of data base:  Printouts on
    request
    On-line computer
(NUS)  Number of regular users of data base:  20
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Solid Waste; Management   Information and Data Systems
    Division.
    EPA regional offices
    States
(CNF)  Confidentiality of data and limits on  access: Limits on access
    within SPA and outside agency for some  data
(DLC)  Primary physical location of data: MCC/IBM
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: Commercial software System 2000
    y«IDS:5600000901 jEPA hardware IBM 370
(CHG)  Direct charge for non-EPA use: no outside use/access permitted
(UPDT)  Frequency Of data base master file  up-date: Other as required
(CMP)  Completion of form:
    John Connolly
    OFC: EPA/(OSMER)/(OSW)
    ftD: 401 M St, S.W. Washington, DC 20460
    PH: (202) 382-4752
(DF)  Date of form completion: 01-25-83
(SMAT)  Number of substances represented in data base: 357
(NCAS)  Number of CAS registry numbers in data base: 331
(MAT)  Substances represented in data base:
                                         l,2-dichlorobenzene<95-50-l>
    ^O/C-diethyl phosphoricacid,0-p-
       nitrophenyl ester<311-45-5>
    0,0-diethyl-0~(2-pyrazinyl)
       phoshorothioOrO-diethyl-s-(2-
       ethylthio)ethyl)ester of
       phosphorodithioicacid
    0,0-diethyl-s-methyl ester of phos
           1,2-tetrachloroethane
       <630-20-6>
    l,l/l-trichloroethane<71-55-6>
    1, If 1t If- tetrachloro ethane
       <79-34-5>
    l,l-dichloroethane<75-34-3>
    It l-dichloroethylene<75-35-4>
    l,l-dimethylhydrazine<57-14-7>
       8,83-hexahydro-l, 4: 5, 8-endo,
       endo-di
    1/2^4,5-tetrachlorobenzene
       <95-94-3>
    I/ 2-dibromo-3-chloro propane (dbcp)
       <96-12-8>
    I/ 2-dibromoethane<106-93-4>
l,2-dichloroethane<107-06-2>
l,2-dichloropropane<78-87-5>
l,2-diethylhydrazine<1615-80-l>
l,2-diraethylhydrazine<540-73-8>
l,2-diphenylhydrazine<122-66-7>
l,2-propanediol<57-55-6>
If2-trans-dichloroethylene
   <156-60-5>
l,3-dichlorobenzene<541-73-l>
l,3-dichloropropene<542-75-6>
l/3-pentadiene<504-60-9>
1,3-propane sultone<1120-71-4>
l,4-dichloro-2-butene<110-57-6>
1^4-dichlorobenzene<106-46-7>
l,4-dioxane<123-91-l>
l,4-naphthoqulnone<130-15-4>
l-(o-chlorophenyl)thiourea
   <5344-82-l>
l-(p-chlorobenzoyl)-5-methoxy-2-
   methylindole-3-acetic acid
l-chloro-2*3-epoxypropane
   <106-89-8>
l-naphthyl-2-thiourea<86-88-4>
                             370

-------
                         Accession No.   5601100901
                  (cont)
l-naphthylamine<134-32-7>
1f 3, 4, 6-tetrachlorophenol<58-90-2>
2,4,5-trichlorophenol<95-95-4>
2^4/5-trichlorophenoxyacetic acid
   (T)<93-76-5>
2,4,5-trichlorophenoxypropionic
   acid (TP)<93-72-l>
2,4/6~trichlorophenol<88-06-2>
2, 4-dichlorophenol<120-83-2>
2/ 4-dichlorophenoxyacetic acid (2/
   4-d)<94-75-7>
2, 4-dimethylphenol<105-67-9>
2/4-dinitrophenol<51-28-5>
2,4-dinitrotoluene<121-14-2>
2,4-dIthiobiuret<541-53-7>
2,6-dichlorophenol<87-65-0>
2/6-dinitrotoluene<606-2Q-2>
2-acetylaminoflourene
2-butanone peroxide<1338-23-4>
2-chloronaphthalene<91-58-7>
2-cMorophenol<95-57-8>
2-cyclohexyl-4/6-dinltrophenol
   <131-89-5>
2-fluoroacet amide (1081)<640-19-7>
2-methyl-2-(raethylthio)propioTialde
   hyde-o-(raethylcarbonyl)oxime
   <80-62-6>
2~methylaziridine<75-55-8>
2-raethyllactonitrile<75-86-5>
2-naphthylamine<91-59-8>
2-nitropropane<79-46-9>
2-picoline<109-06-8>
2-propyn-l-01<107-19-7>
2-sec butyl-4/6-dinitrophenol
   <88-85-7>
3r3*-dichlorobenzidine<91-94-l>
3, 3 *-diraethoxybenzidine<119-90-4>
3/3'-diaiethyl-l(methylthio)-2-
   fcutanone-0-(( raethylamino)
   car bony Doxime
3/3'-diraethylbenzidine<119-9
   3,4-dihydroxy-alpha-
   (me thy 1 am ino)- methyl benzyl
   alcohol
3-chloropropionitrile<542-76-7>
3-roethylcholanthrene<56-49-5>
4^4*~raethylene-bis-(2-chloroanilin
4-chloro-o-toluidine hydrochloride
   <3165-93-3>
4-nitrophenol<100-02-7>
5-( amlnoroe thy 1) -3-isoxazolol
   <2763-96-4>
5-nitro-o-toluidine<99-55-8>
4, 6-dinitro-o-cresol<534-52-l>
4-ftniinopyridine<504-24-5>
4-bromophenyl phenyl ether
   <101-55-3>
   8-(hydroxyfflethyl)8-raethoxy~5-
   raethyl
   -c
7/ 12-dirae thy IbenzC a) anthracene
   
7-oxabicycol(2.2.1)heptane-2/3-
   dicarboxylic acid<145-73-3>
<39196-18-4>
acetaldehyde<75-07-0>
acetone<67-64-l>
acetonittlle<75-05-8>
acetophenone<98-86-2>
acetyl chloride<75-36-5>
acrolein
acrylamide<79-06-l>
acrylic acid<79-10-7>
acrylonitrile<107-13-l>
aldrin<309-00-2>
allyl alcohol<107-18-6>
alpha/alpha-diiBethylbenzylhydro-
   peroxide<80-15-9>
alpha, alp ha-dioe thy Iphene thy lamine
   <122-09-8>
alpha-chlorotoluene<100-44-7>
aluminum phosphide<20859-73-8>
amitrole<61-82-5>
ammonium picrateC 131-7 4-8>
aniline<62-53-3>
arabamate
arsenic acid<1327-52-2>
arsenic pentoxide<1303-28-2>
arsenic trioxide<1327-53-3>
asbestos<1332-21-4>
auramine<2465-27-2>
azaserine<115-02-6>
barium cyanide<542-62-l>
benz(c)acridine<225-51-4>
benzal chloride<98-87-3>
benzene<71-43-2>
benzene sulfonyl chloride<98-09~9>
benzene thiol<108-98-5>
benzidine<92-87-5>
benzo(a)anthracene< 56-55- 3>
benzo(a)pyrene<50-32-8>
benzotrichloride<98-07-7>
                         371

-------
                         Accession No,  5601100901
                  
b is (2-chloroisopropyl) ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis(chloromethyl)ether<542-88-l>
broiBoacetone<598-31-2>
broi8oinethane<74-83-9>
brucine<357-57-3>
calcium chroraate<13765-19-0>
calcium cyanide<592-01-8>
carbon disul£ide<75-15-0>
carbonyl f luoride<353-50-4>
chloral<75-87-6>
chlorambucil<305-03-3>
chlordane<57-74-9>
chloroacetaldehyde<107-20-0>
chlorobenzene
chlorobenzilate<510-15-6>
chlcrodibromomethane<124-48-l>
chloroethene<75-01-4>
chloroethyl vinyl ether<110-75-8>
chloroform<67-66-3>
chloromethane<74-87-3>
chloromethyl methyl ether
   <107-30-2>
chrysene<218-01-9>
copper cyanide<544-92-3>
cresylic acid<1319-77-3>
crotonaldehyde< 4170-30 -3>
cumene<98-82-8>
cyan id e< 57-1 2-5>
cyanogen broraide<506-68-3>
cyanogen chloride<506-77-4>
cyanogen<460-19-5>
cyclohexane<110-82-7>
cyclohexanone<108-94-l>
eye lophosphamide<50-18-0>
daunomycin<20830-8l-3>
ddd(tde)
ddt
di-isopropylf luorophosphate
   <55-91~4>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate
di-ri-propylnitrosamine<621-64-7>
diallate<2303-16-4>
dibenzo(a, h)anthracene<53-70-3>
dibenzol(a/i)pyrene<189~55-9>
dibromochlororaethane<124-48-l>
dibrofflonethane<74-95-3>
dichlorodifluoromethane<75-71-8>
dichloroaiethane<75-09-2>
dichlorophenylarsine< 696-28-6>
dieldrin<60-57-l>
dlepoxybutane<1464-53-5>
diethyl phthalate<84-66-2>
diethylarsine
diethylstilbestrol<56-53-l>
dihydrosafrole<94-58-6>
difliethoate<60-51-5>
dimethyl phthalate<131-ll-3>
dimethyl sulfate<77-78-l>
dimethylaroine<124-40-3>
dimethylcarbamoyl chloride
   <79-44-7>
dimethyInitrosamine<62-75-9>
dipropylamine<142-84-7>
endosulfan<115-29-7>
endrin<72-20-8>
ethyl acetate<141-78-6>
ethyl acrylate<140-88-5>
ethyl ether<60-29-7>
ethyl methacrylate<97-63-2>
ethyl methanesulfonate<62-50-0>
ethylcyanide<107-12-0>
e thy1ene b isdlthiocarb am a te
ethylene oxide<75-21-8>
ethylene thiourea<96-45-7>
ethylenediamine<107-15-3>
ethyleneimine<151-56-4>
ferric cyanide
fluoranthene<206-44-0>
fluorene<86-73-7>
fluorine<7782-41-4>
fluoroacetic acid, sodium salt
fluorotrichlororaethane<75-69-4>
formaldehyde<50-00-0>
formic acid<64-18-6>
furan<110-00-9>
furfural<98-01-l>
glycidylaldehyde
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
hexachlorobutadiene<87-68-3>
hexachlorocyclohexane<58-89-9>
hexachlorocyclopentadiene<77-47-4>
hexachlorophene<70-30-4>
hexachloropropene<1888-71-7>
hexaethyl tetraphosphate<757-58-4>
hydrazine<302-01-2>
                         372

-------
                         Accession No.   5601100901
                  (cont)
hydrocyanic acid<74-90-8>
hydrofluoric acid<7664-39-3>
hydrogen sulfide<7783-06-4>
hydroxydimethyl arsine oxide
   <75-60-5>
Indeno (l,2,3-cd)pyrene<193-39^5>
iodomethane<74-88-4>
iron dextran<9004-66-4>
isobutyl alcohol<78-83-l>
isocyanic acid, methyl ester
   <624-83-9>
isosafrole
kepone<143-50-0>
lasiocarpine<303-34-4>
lead acetate<301-04-2>
lead phosphate<7446-27-7>
lead subacetate<1335-32-6>
raaleic anhydride<108-31-6>
maleic hydrazide<123-33-l>
malononitrile<109-77-3>
melphalan<148-82-3>
mercury fulminate<628-86-4>
mercury<7439-97-6>
metbanethiol<74-93-l>
raethanol<67-56-l>
me thanori aphtha lene
methapyrilene<91-80-5>
methorny1<16752-77-5>
methyacrylonitrile<126-98-7>
methyl chlorocarbonate<79-22-l>
methyl ethyl ketone (mek)<78-93-3>
methyl ethyl ketone peroxide
   <1338-23-4>
methyl hydrazine<60-34-4>
methyl isobutyl ketone<108-10-l>
methyl tnethacrylate<80-62-6>
methyl parathion<298-00-0>
methylthiouracil<56-04-2>
nfn-bis(2-chloroethyl)-2-naphthyla
   mine<494-03-l>
n-butyl alcohol<71-36-3>
n-raethyl-ri'-nitro-n-nitrosoguanidi
   ne<70-25-7>
n-nitroso-n-ethylurea<759-73-9>
n-nitroso-n-methylfurea<684-93-5>
n-nitroso-n-raethylurethane
   < 615-53-2 >
n-nitrosodi-n-butylamine<924-16-3>
n-nitrosodi-n-propylamine
   <621-64-7>
n-nitrosodiethanolaraine<1116-54-7>
n-nitrosodiethylamine<55-18-5>
n-nitrosodimethylanine<62-75-9>
n-nitrosodiphenylajBine<86-30-6>
n-nitrosoraethylvinylaraine
n-nitrosopiperidine<100-75-4>
n-nitrosopyrrolidine<930-55-2>
n-phenylthiourea<103-85-5>
n-propylaraine<107-10-8>
naphthalene<91-20-3>
nickel carbonyl<12612-55-4>
nickel cyanide<557^19-7>
nicotine and salts<54-ll-5>
nitric oxide<10102-43-9>
nitrobenzene<98-95-3>
nitrogen dioxide<10102-44-0>
nitrogen peroxide<10102-44-0>
nitrogen tetroxide<10544-72-6>
nitroglycerine<55-63-0>
o-toluidine hydrochloride
   <636-21-5>
octamethyIpyrophosphoranlde (OMPA)
   <152-16-9>
oil and grease
oleyl alcohol condensed with 2
   moles ethylene oxide
osmium tetroxide<20816-12-0>
p-chloro-m-cresoKS 9-50-7 >
p-chloroaniline<106-47-8>
p-dimethylaminoazobenzene<60-ll-7>
p-nitroaniline<100-01-6>
pHosphine<7803-51-2>
pHosphorus sulfide<1314-80-3>
pHthalic anhydride<85-44-9>
paraldehyde<123-63-7>
parathion<56-38-2>
pentachlorobenzene<608-93-5>
pentachloroethane<76-01-7>
pentachloronitrobenzene (PCHB)
   <82-68-8>
pentachlorophenol<87-86-5>
phenacetin<62-44-2>
phenol<108-95-2>
phenyl dichloroarsine<696-28-6>
phenylmercury acetate<62-38-4>
phorate<298-02-2>
phosgene<75-44-5>
phosophorothioic acid/o^o-
   dimethyl ester,o-ester Hith n,
   n-dimethyl
   ben
potassiuB cyanide<151-50-8>
potassium silver cyanide<506-61-6>
pronaraide<23950-58-5>
                         373

-------
                             Accession No.   5601100901
                  (cont)
    prop ton! trile<107-12-0>
    pyridine<110-86-l>
    quiuones
    reserpine<50-55-5>
    resorcinol<108-46-3>
    saccharin<81-07-2>
    safrole<94-59-7>
    selerdous acid<7783-00-8>
    selenium  sulfide<7446-34-6>
    selenourea<630-10-4>
    silver cyanide<506-64-9>
    sodium azide<26628-22-8>
    sodium cyan!de
    streptozotocin<18883-66-4>
    strontium sulfide<1314-96-l>
    strychnine<57-24-9>
    tetrachloroethene<127-18-4>
    tetrachloromethane<56-23-5>
    tetraethyl dithiopyrophosphate
       <3689-24-5>
    tetraethyl lead<78-00-2>
    tetraethyl pyrophosphate<107-49-3>
    tetrahydofuran<109-99-9>
    tetranitromethane<509-14-8>
    thallic oxide<1314-32-5>
    thallium  acetate<563-68-8>
    thallium  carbonate<29809-42-5>
thallium nitrate<10102-45-l>
thallium selenite
thallium sulfate<7446-18-6>
thioacetamide<62-55-5>
thiosemicarbazide<79-19-6>
thiourea<62-56-6>
thiuram<137-26-8>
toluene diisocyanate<26471-62-5>
toluene<108-88-3>
toluenediamine<25376-45-8>
toxaphene<8001-35-2>
tribromofflethane<75-25-2>
trichloroethene<79-01-6>
trichlorofluoromethane<75-69-4>
trichloromethanethiol<75-70-7>
trinitrobenzene<99-35-4>
tris{ 2f 3-dibromopropyl) phosphate
   <126-72-7>
trypan blue<72-57-l>
uracil raustard<66-75-l>
urethane<51-79-6>
vanadic acid/ ammonium salt
vanadium pentoxide<1314-62-l>
xylene<1330-20-7>
zene sulfonaaide
zinc cyanide
zinc phosphide<1314-84-7>
    thallium chloride<7791-12-0>
(CAS)  CAS registry numbers of substances included in data base: 311-45-
    5; 630-20-6;  71-55-6; 79-34-5;    75-34-3; 75-35-4; 57-14-7;
    95-94-3; 96-12-8; 106-93-4; 95-50-1;       107-06-2; 78-87-5;
    1615-80-1; 540-73-8; 122-66-7; 57-55-6; 156-60-5;       541-73-1;
    542-75-6; 504-60-9; 1120-71-4; 110-57-6; 106-46-7;     123-91-1;
    130-15-4; 5344-82-1; 106-89-8; 86-88-4; 134-32-7; 58-90-2;
    95-55-4; 93-76-5; 93-72-1; 88-06-2; 120-83-2; 94-75-7; 105-67-9;
    51-28-5; 121-14-2; 541-53-7; 87-65-0; 606-20-2; 1338-23-4; 91-58-7;
    95-57-8; 131-89-5; 640-19-7; 80-62-6; 75-55-8; 75-86-5; 91-59-8;
    79-46-9; 109-06-8; 107-19-7; 88-85-7; 91-94-1; 119-90-4; 56-49-5;
    101-14-4; 534-52-1; 504-24-5; 101-55-3; 3165-93-3; 100-02-7;
    2763-96-4; 99-55-3; 57-97-6; 145-73-3; 39196-18-4; 75-07-0;
    67-64-1;       75-05-8; 98-86-2; 75-36-5; 107-02-8; 79-06-1;
    79-10-7; 107-13-1;      309-00-2; 107-18-6; 80-15-9; 122-09-8;
    100-44-7; 20859-73-8; 61-82-5;      131-74-8; 62-53-3; 1327-52-2;
    1303-28-2; 1327-53-3; 1332-21-4;   2465-27-2; 115-02-6; 542-62-1;
    225-51-4; 98-87-3; 71-43-2; 98-09-9;   108-98-5; 92-87-5; 56-55-3;
    50-32-8; 98-07-7; 111-91-1; 111-44-4;     39638-32-9; 117-81-7;
    542-88-1; 598-31-2; 74-83-9; 357-57-3;     13765-19-0; 592-01-8;
    75-15-0; 353-50-4; 75-87-6; 305-03-3; 57-74-9;       107-20-0;
    108-90-7; 510-15-6; 124-48-1; 75-01-4; 110-75-8; 67-66-3;
    74-67-3; 107-30-2; 218-01-9; 544-92-3; 1319-77-3; 4170-30-3;
    98-82-8;      57-12-5; 506-68-3; 506-77-4; 460-19-5; 110-82-7;
    108-94-1; 50-18-0;   20830-81-3; 55-91-4; 84-74-2; 117-84-0;
                             374

-------
                             Accession No.   5601100901     (cont)

    621-64-7;  2303-16-4;  53-70-3;      139-55-9; 124-48-1; 74-95-3;
    75-71-8;  75-09-2;  696-28-6;  60-57-1;     1464-53-5; 64-66-2;
    56-53-1;  94-58-6;  60-51-5;  131-11-3; 77-78-1;     124-40-3;
    79-44-7;  62-75-9;  142-84-7;  115-29-7; 72-20-8; 141-78-6;
    140-88-5;  60-29-7; 97-63-2;  62-50-0; 107-12-0; 75-21-8; 96-45-7;
    107-15-3;  151-56-4; 206-44-0; 86-73-7;  7782-41-4; 75-69-4; 50-00-0;
    64-18-6;  110-00-9; 98-01-1;  76-44-8; 118-74-1; 87-68-3; 58-89-9;
    77-47-4;  70-30-4;  1888-71-7; 757-58-4;  302-01-2; 74-90-8;
    7664-39-3;        7783-06-4;  75-60-5; 193-39-5; 74-88-4; 9004-66-4;
    78-83-1;  624-83-9;       120-58-1; 143-50-0; 303-34-4; 301-04-2;
    7446-27-7;  1335-32-6;    108-31-6; 123-33-1; 109-77-3; 148-82-3;
    628-86-4;  7439-97-6;  74-93-1;      67^56-1; 91-80-5; 16752-77-5;
    126-98-7;  79-22-1; 78-93-3;  1338-23-4;        60-34-4? 108-10-1;
    80-62-6;  298-00-0; 56-04-2;  494-03-1; 71-36-3;     70-25-7;
    759-73-9;  684-93-5? 615-53-2; 924-16-3; 621-64-7; 1116-54-7;
    55-18-5;  62-75-9;  86-30-6;  100-75-4? 930-55-2; 103-85-5; 107-10-8;
    91-20-3;  12612-55-4;  557-19-7; 54-11-5; 10102-43-9; 98-95-3;
    10102-44-0; 10102-44-0; 10544-72-6; 55-63-0; 636-21-5; 152-16-9;
    20816-12-0; 59-50-7;  106-47-8; 60-11-7; 100-01-6; 7803-51-2;
    1314-80-3;  85-44-9; 123-63-7; 56-38-2;  608-93-5; 76-01-7; 82-68-8;
    87-86-5;  62-44-2;  108-95-2;  696-28-6; 62-38-4; 298-02-2; 75-44-5;
    151-50-8;  506-61-6; 23950-58-5; 107-12-0; 110-86-1; 50-55-5;
    108-46-3?  81-07-2; 94-59-7;  7783-00-8;  7446-34-6; 630-10-4;
    506-64-9;       26628-22-8;  143-33-9; 18883-66-4; 1314-96-1;
    57-24-9;  127-18-4;       56-23-5; 3689-24-5; 78-00-2; 107-49-3;
    109-99-9;  509-14-8; 1314-32-5;      563-68-8; 29809-42-5;
    7791-12-0;  10102-45-1? 7446-18-6? 62-55-5;      79-19-6; 62-56-6;
    137-26-8;  26471-62-5; 108-88-3? 25376-45-8;    8001-35-2; 75-25-2;
    79-01-6?  75-69-4;  75-70-7;  99-35-4; 126-72^7;     72-57-1; 66-75-1;
    51-79-6?  11115-67-6?  1314-62-1? 1330-20-7?     1314-84-7
(CUM)  Contact  narae(s): Connolly/J.  ;  Dreu,C.
(ROR)  Responsible Organization: Office of Solid Baste and Emergency
    Response.Off ice of Solid Haste. Office of Managecne
                             375

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                             Accession  No.   5601100902

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Sludge Distribution  and  Marketing
    Regulations-Community Impact Survey
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or  Model:  Municipal sewage  sludge
(ABS)  Abstract/Overview of  Data Base or Model:  The data base contains
    information necessary to assess the economic and environmental
    impacts of the distribution and   marketing  regulations for  sludge
    fro IE publicly owned treatment  works.   The  information Includes
    engineering,  technology, management/ and  economic  aspects of
    distribution  and marketing programs.
(CTC)  CONTACTS:  Subject matter   Lawrence Cahill  (301) 951-2573 ;
    Computer-related    Geoffrey Back (301)  951-2277;   EPA  Office Glen
    Galen (202) 382-4655
(DTP)  Type of data collection or monitoring:  Combination/Other
    telephone survey of communities with publicly owned  treatment
    works
(STA)  Data Base  status: Operational/ongoing
(GRP)  Groups of  substances  represented in Data  Base: 5 metals
(NPF)  Ion-pollutant parameters included in  the  data base:  Chemical
    date ^Concentration measures jCost/economic  data ^Disposal ;  Flow
    rates ;Location ^Production levels  >Samp ling date ;Treatment
    devices ;     Use ;Volume/mass measures
(OS)  Time period covered by data base: 07-01-80 TO 09-30-81
(TRM)  Termination of data collection:  Occurred  12/30/80
(FRQ)  Frequency  of data collection or  sampling: one time only
(NOB)  Number of  observations in data base:  1011.(Estimated)
(NEI)  Estimated  annual increase of observations in data base: 0.
(IWF)  Data base  includes: Raw data/observations JSummary aggregate
    observations
(NTS)  Total number of stations or sources covered in data  base: 1011.
(NCS)  No. stations or sources currently originating/contributing data:
    1011.
(NOF)  Rumber of  facilities  covered in  data  base (source monitoring): 10
    11.
(GEO)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or source include:
    State jcity ;
(FAC)  Data elements identifying facility include: Plant facility name
    }
(CDE)  Pollutant  identification data  are: Coded  using chemical
    nomenclature  (e.g. Cd, Pb, Hi, Cu,  Zn &  N)
(LIM)  Limitation/variation  In data of  which user should be aware: None
(DPR)  Data collect./anal, procedures conform to CRD guidelines: Samplin
    g plan documented ;Collection method documented ;QA procedures
    documented
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision  and accuracy estimates are  not  available
(EOT)  fditting:  Edit procedures used but undocumented.
(CBY)  Data collected by: Contractor  Booz, Allen, & Hamilton, Inc.
(ABY)  Data analyzed by: Contractor Booz, Allen, & Hamilton/  Inc.
    SPA headquarters Office  of Solid  Maste


                             376

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                             Accession No.   5601100902      (cont)

(IDL)  Laboratory identification:  SO
(PR1)  Primary purpose of data collection:  Development  of regulations
    or standards
(PR2)  Secondary purpose of data collection:  trend assessment
(AUT)  Authorization for data collection:  Statutory authorization  is P
    L 92-500 as amended, Section 405 (Clean Water  Act-CHA)
(OMB)  Eata collected/submitted using ONB-approved EPA  reporting forms:
    158-S-80014
(REP)  Form of available reports and outputs  of data base:  Publications
    Future Summary publication in Environmental Impact
    Study/Regulatory Impact Analysis (RIA)  for the regulations
(NOS)  Number of regular users of data base:  6 offices
(USR)  Current regular users of data base:  EPA headquarter offices
    Office of Solid Waste
(CNF)  Confidentiality of data and limits on  access: No limits on
    access to data
(DLC)  Primary physical location of data:  Contractor
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: Commercial software Boeing  Computer
    Services ;EPA hardware IBM 370
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file  up-date: Other one update
    may occur-1981.
(CMP)  Completion of form:
    Glen Galen
    OFC: EPA/(OSWER)/(OSW)
    AD: 401 M St, S.W. Washington/ DC 20460
    PH: (202) 382-4655
(DF)  Date of form completion: 01-25-83
(NMAT)  Number of substances represented in data base:  5
(NCAS)  Number of CAS registry numbers in data base: 5
(MAT)  Substances represented in data base:
    cacffium<7440-43-9>                   nickel<7440-02-0>
    copper<7440-50-8>                    zinc<7440-66-6>
    iead<7439-92-l>
(CAS)  CAS registry numbers of substances included in data base: 7440-43
    -9; 7440-50-3; 7439-92-1; 7440-02-0;   7440-66-6
(CNM)  Contact name(s): Cahill/L.  ;    Back,G. ;    Galen/G.
(ROR)  Responsible Organization: Office of  Solid Haste  and Emergency
    Response.Office of Solid Waste.Office of  Manageme
                             377

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                             Accession No.   5602000001

?est/analysis method ;waste
    management practices
(DS)  Time period covered by data base: 10-01-80 fO  Present
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: as  needed ;Other once
    or twice per generator/process
(NOB)  dumber of observations in data  base:  4QO(Estinated)
(INF)  Data base includes: Raw data/observations ;Summary  aggregate
    observations
(GEQ)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of  station or  source  include:
    State ;City ;street address ^Project identifier  ;complete facility
    identificatio
(FAC)  Data elements identifying facility include: Plant facility name
    ;Plant location ;Street  address ;Dun Bradstreet
(CDS)  Pollutant identification data  are: Uncoded
(DPR)  Fata collect./anal, procedures  conform to CRD guidelines: Samplin
    g plan documented Collection method documented  ^Analysis method
    document QA procedures documented
(AML)  Lab analysis based on EPA-approved or  accepted methods?  YES
(PRE)  Precision: Precision and accuracy estimates exist for most of
    the data  base
(EDT)  Editting: F.dit procedures used  but undocumented.
(C8Y)  Data collected by: Self reporting in petitions ;EPA labs
    ^Contractor lab various
(ABY)  Data analyzed by: EPA lab Office of  Research  and  Development
    Labs    Contractor lab various
    EPA headquarters Office  of Solid Waste
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Development  of  regulations
    or standards


                             378

-------
                             Accession No.   5602000001
                  (cent)
(AUT)  Authorization for data collection: Statutory authorization is P
    L 92-580/3007 (Resource Conservation and  Recovery Act)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Hand
    searchable as needed
(NtJS)  Kumber of regular users of data base: 15
(USR)  Current regular users of data base: EPA headquarter  offices
    Office of Solid Waste     CONFIDENTIAL: Limits on access uithin EPA
    and outside agency for all data
(DLC)  Primary physical location of data: Headquarters office
(DST)  Form of data storage: Original form (hardcopy, readings)
(DAC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: no non-government outside
    use/access permitted
(UPDT)  Frequency of data base master file up-date: As data is obtained
(CMP)  Completion of form:
    David Friedman
    OFC: EPA/(QSWER)/(OSW)/(HIWD)
    YD: 401 M St S.W. Washington, DC 20460
    Pfi: (202) 382-4770
(DF)  Date of form completion: 12-13-82
(NMAT)  Number of substances represented in data base: 357+
(NCAS)  Number of CAS registry numbers in data base: 331+
(MAT)  Substances represented In data base:
    (partial list) 0,0-diethyl
       phosphoric acid/0-p-
       ritrophenyl ester<311-45-5>
    0,0-diethyl-0-(2-pyrazinyl)
       phoshorothioO,0-diethyl-s-(2-
       ethylthio)ethyl)ester of
       phosphorodithioicacid
    0/0-diethyl-s-rcethyl ester of phos
       1,1,1,2-tetrachloroethane
       <630-20-6>
    l,l,l-trichloroethane<71-55-6>
    1, If 2f 2, -tetrachloroethane
       <79-34-5>
    lfl-dichloroethane<75-34-3>
    l,l-dichloroethylene<7S-35-4>
    1, l-dijnethylhydrazine< 57-14-7>
    1,2,3, 4,10,10-hexachloro-l,4,4ar5,
       8,8a-hexahydro-l,4:5,8-endo,
       endo-di
    If 2, 4, 5-te tr achlorobenzene
       <95-94-3>
    l/2-dibrorao-3-chloropropane (dbcp)
       <96-12-8>
    1,2-dibroraoethane<106-93-4>
    l/2-dichlorobenzene<95-50-l>
    l,2-dichloroethane<107-06-2>
    l,2-dlchloropropane<78-87-5>
l,2-diethylhydrazine<1615-80-l>
l/2-diniethylhydrazine<540-73-8>
l/2-diphenylhydrazine<122-66-7>
l,2-propanediol<57-55-6>
1/2-trans-dichloroethylene
   <156-60-5>
1,3-dichlorobenzene<541-73-l>
l/3-dichloropropene<542-75-6>
l,3-pentadiene<504-60-9>
1/3-propane sultone<1120-71-4>
If4-dichloro-2-butene
l/4-dichlorobenzene<106-46-7>
l,4-dioxane<123-91-l>
l/4-naphthoqulnone<130-15-4>
l-(o-chlorophenyl)thiourea
   <5344-82-l>
l-(p-chlorobenzoyl)-5-raethoxy-2-
   methylindole-3-acetic acid
l-chloro-2,3-epoxypropane
   <106-89-8>
l-naphthvl-2-thiourea<86-88-4>
l-naphthylamine<134-32-7>
2,3,4,6-tetrachlorophenol<58-90-2>
2,4,5-trichlorophenol<95-95-4>
2,4,5-trlchlorophenoxyacetic acid
   (T)<93-76-5>
                             379

-------
                         Accession No.  5602000001
                  (cent)
2,4,5-trichlorophenoxypropionic
   8dd (TP)<93-72-l>
2,4,6-trichlorophenol<88-06-2>
2/ 4-dichiorophenol<120-83-2>
2, 4-dichiorophenoxyacetic acid (2,
   4-d)<94~75-7>
2, 4-dimethylphenoia05-67~9>
1, 4-dinitrophenol<51-23-5>
2,4-dinitrotoluene<121-14-2>
2,4-dithiobiuret<541-53-7>
2, 6-dichiorophenol<87-65-0>
2,,6-dinitrotoluene<606-20-2>
2-acetylaminof lourene
2-butanone peroxide<1338~23-4>
2-chloremaphthalene< 91-58- 7>
2-chlorophe«ol<95-57-8>
2-cyclohexyl-4/6-dinitrophenol
   <131-89-5>
2-fluoroacet amide (1081X640-19- 7>
2-itiethyl-2-(methylthio)propionalde
   hyde-o- (methylcarbony 1) oxlme
   <80-62-6>
2-methylaziridine<75-55-8>
2-methyllactonitrile<75-86-5>
2-naphthylaroinc<91-59-8>
2-nltropropane<79-46-9>
2-picoline<109-06-9>
2-propyn-l-01<107-19-7>
2-sec butyl-4^6-dlnltrophenol
   <88-85-7>
3,3'-dichloroben2idine<91-94-l>
3/3*-dlfflethoxybenzidine<119-90-4>
3, 3 '-dime thy 1-1 (methyl thio) -2-
   butanone-0-( ( methyl amino)
   car bony Doxirae
3,3*-diinethylbenzidin€<119-9
   3,4-dihydroxy-alpha-
   (methylaraino) -methyl benzyl
   alcohol
3-chloropropionitrile<542-76-7>
3-methylcholanthrene<56-49-5>
4, 4*-aiethylene-bis-(2-chloroanilin
4,6-dinitro-o-cresol<534-52-l>
4-Aminopyridine<504-24-5>
4-bromophenyl phenyl ether
   <101-55-3>
4-chloro-o-toluidine hydrochloride
   <31 65-93- 3>
4-nitrophenol<100-02-7>
5-(aminomethyl)-3-isoxazolol
   <2763-96-4>
5-nitro-o-toluidine<99-55-8>
6-amino-l, la/ 2,8, 8a, 8b-hexahydro-
   8-(hydroxymethyl)8-jBethoxy-5-
   m ethyl
   -c
7,12-dimethylbenz(a)anthracene
   <57-97-6>
7-oxabicycol( 2.2.1 )heptane- 2^3-
   dicarboxylic acid<145-73-3>
<39196-18-4>
acetaldehyde<75-07-0>
acetone<67-64-l>
ace toni tri le<75-05- 8>
acetophenone<98-86-2>
acetyl chloride<75-36-5>
acrolein<107-02-8>
aery lam ide<79-0 6-1 >
acrylic acid<79-10-7>
acrylonitrile<107-13-l>
aldrin<309-00-2>
allyl alcohoK107-18-6>
alpha, alpha-diaethylbenzylhydro-
   peroxide<80-15-9>
alpha, alpha-dime thy Iphene thy laraine
   <122-09-8>
alpha-chlorotoluene
alurainua phosphide<20859-73-8>
amitrole<61-82-5>
amBonium picrate<131-74-8>
aniline<62-53-3>
arabamate
arsenic acid<1327-52-2>
arsenic pentoxlde<1303-28-2>
arsenic trioxide<1327-53-3>
asbestos<1332-21-4>
auramine<2465-27-2>
azaserine<115-02-6>
barium cyanide<542-62-l>
benz(c) acridine<225-51-4>
benzal chloride<98-87-3>
benzene<71-43-2>
benzenesulfonyl chloride<98-09-9>
benzene tbiol<108-98-5>
benzidine<92-87-5>
benzo(a)anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
benzotrichloride<98-07-7>
beryllium dust
bis( 2-chloroethoxy )methane
bis(2-chloroethyl)ether
                         380

-------
                         Accession No.  5602000001
                  (cont)
bis (2-chlorolsopropyl) ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis(chlororaethyl)ether<542-88-l>
bromoacetone< 598-31- 2>
bromonje thane <74-83-9>
brucine<357-57-3>
calcium chroraate<13765-19~0>
calcium cyanide<592-01-8>
carbon disulfide<75-15-0>
carbonyl fluoride<353-50-4>
chlcral<75-87-6>
chlorainbucil<305-03-3>
chlordane<57-74-9>
chloroacetaldehyde<107-20-0>
chlcrobenzene
chlorobenzilate<5lO-15-6>
chlorodibromoraethane<124~48-l>
chloroethene<75-01-4>
chloroethyl vinyl ether<110-75-8>
chloroforra<67-66-3>
chloromethane<74~87-3>
chlororaethyl methyl ether
   <107-30-2>
chrysene<218-01-9>
copper cyanide<544-92-3>
cresylic acid<13!9-77-3>
crotonaldehyde< 4170-30 -3>
cumene<98-82-8>
cyanide<57-12-5>
cyanogen bromide<506-68-3>
cyanogen chloride<306-77-4>
cyan ogen<460 -1 9-5>
cyclohe3cane<110-82-7>
cyclohexanone<108-94-l>
cyclophosphamide<50-18-0>
daunomycin<20 830-81- 3>
ddd(tde)
ddt
di-isopropylf luorophosphate
   <55-91-4>
di-n-butyl phthalate<84-74-2>
di-r-octyl phthalate
di-t-propylnitrosaraine<621-64-7>
diallate<2303-16-4>
dibenzo(a/h) anthracene<53-70-3>
dibenzol(a,i)pyrene<189-55-9>
dibromochloromethane<124-48-l>
dibromomethane<74-95-3>
dichlorodifluoromethane<75-71-8>
dichloromethane<75-09-2>
dlchlorophenylarsine<696-28-6>
dieldrin<60-57-l>
dlepoxybutane<1464-53-5>
diethyl phthalate<84-66-2>
diethylatsine
diethylstilbestrol<56-53-l>
dihydrosa£role<94-58-6>
diraethoate<60-51-5>
dimethyl phthalate<131-ll-3>
dimethyl sulfate<77-78-l>
dimethylamine<124-40-3>
dime thyIcarbamoyl chloride
   <79-44-7>
dimethylnitrosaraine<62-75-9>
dipropylamine<142-84-7>
endosulfan<115-29-7>
endrln<72-20-8>
ethyl ac«tate<141-78-6>
ethyl acrylate<140-88-5>
ethyl ether<60-29-7>
ethyl methacrylate<97-63-2>
ethyl roethanesulfonate<62-50-0>
ethylcyanide<107-12-0>
ethylene bisdithiocarbanate
ethylene oxide<75-21-8>
ethylene thiourea<96-45-7>
ethylenediamine<107^15-3>
ethyleneimine<151-56-4>
ferric cyanide
fluoranthene<206-44-0>
fluorene<86-73-7>
fluorine<7782-41-4>
fluoroacetic acid, sodium salt
fluorotrichloromethane<75-69-4>
f ormaldefcycle<50-00-0>
formic acld<64-18-6>
furan<110-00-9>
furfural<98-01-l>
glycidylaldehyde
heptachlor<76-44-3>
hexachlorobenzene<118-74-l>
hexachlorobutadiene<87-68-3>
hexachlorocyclohexane<58-89-9>
hexachlorocyclopentadiene<77-47-4>
hexachlorophene<70-30-4>
hexachloropropene<1888-71-7>
hexaethyl tetraphosphate<757-58-4>
hydrazine<302-01-2>
hydrocyanic acid<74-90-8>
hydrofluoric acid<7664-39-3>
hydrogen sulfide<7783-06-4>
                         381

-------
                         Accession No.  5602000001
                  Ccont)
hydroxydimethyl arsine oxide
   <75-60-5>
indeno (l,2<,3-cd)pyrene<193-39-5>
iodomethane<74-88-4>
iron dextran<9004-66-4>
isobutyl alcohol<73-83-l>
isocyanic acid, methyl ester
   <624-83-9>
isosafrole<120-S8-i>
kepone<143-50-0>
lasiocarpine<303-34-4>
lead acetate<301-04-2>
lead phosphate<7446-27-7>
lead subaCetate<1335-32-6>
maleic anhydride<108-31-6>
maleic hydrazide<123-33-l>
malononitrile<109-77-3>
melphalan<148-82-3>
mercury fulminate<628~86-4>
mercury<7439-97-6>
raethanethiol<74-93-l>
methanol<67-56-l>
methanonaphthalene
methapyrilene<91-80-5>
methomyl<16752-77-5>
methyacrylonitrile
methyl chlorocarbonate<79-22-l>
methyl ethyl ketone (fflek)<78-93-3>
methyl ethyl ketone peroxide
   <1338-23-4>
methyl hydrazine<60-34-4>
methyl Isobutyl ketone<108-10-l>
methyl methacrylate<80-62-6>
methyl parathion<298-00-0>
methylthiouracii<56-04-2>
n/n-bis(2-chloroethyl)-2-naphthyla
   Kine<494-03-l>
n-butyl alcohol<71-36-3>
ri-fflethyl-n'-nitro-n-nitrosoguanidi
   ne<70-25-7>
n-nitroso-n-ethylurea<759-73-9>
n-nitroso-n-methylurea<684-93-5>
n-nitroso-n-methylurethane
   <615-53-2>
n-nitrosodi-n-butylaraine<924-16-3>
n-nitrosodi-n-propylanine
   <621-64-7>
n-nitrosodiethanolamine<1116-54-7>
n-nitrosodiethylamine<55-18-5>
n-nitrosodimethylamine<62-75-9>
n-nitrosodiphenylamine<86-30-6>
n-nitrosomethylvinylamine
n-nitrosopiperidine<100-75-4>
n-nitrosopyrrolidine<930-55-2>
n-phenylthiourea<103-85-5>
n-propy lamine<107-10-8>
naphthalene<91-20-3>
nickel carbonyl<12612-55-4>
nickel cyanide<557-19-7>
nicotine and salts<54-ll-5>
nitric o3!ide<10102-43-9>
nitroben2eue<98-95-3>
nitrogen dioxide<10102-44-0>
nitrogen peroxide
nitrogen tetroxide<10544-72-6>
nitroglycerine<55~63-0>
o-toluidine hydrochloride
   <636-21-5>
octaiflethylpyrophosphoramide (OMPA)
   <152-16-9>
oil and grease
oleyl alcohol condensed with 2
   moles ethylene oxide
osmium tetroxide<20816-12-0>
p-chloro-iB-cresol<59-50-7>
p-chloroaniline<106-47-8>
p-dimethylaminoazobenzene<60-ll-7>
p-nitroaniline<100-01-6>
paraldehyde<123-63-7>
parathiou<56-38-2>
pentachlorobenzene<608-93-5>
pentachloroethane<76-01-7>
pentachloronitrobenzene (PCNB)
   <82-68-8>
pentachlorophenol<87-86-5>
phenacetin<62-44-2>
phenol<108-95-2>
phenyl dichloroarsine<696-28-6>
phenylraercury acetate<62-38-4>
phorate<298-02-2>
phosgene<75-44-5>
phosophorothioic acid^o^o-
   dimethyl ester^o-ester with nf
   n-dimethyl
   ben
phosphine<7303-51-2>
phosphorus sulfide<13l4-80-3>
phthalic anhydride<85-44-9>
potassium cyanide
potassium silver cyanide<506-61-6>
pronamide<23950-58-5>
propionitrile<107-12-0>
pyridine<110-86-l>
quinones
                         382

-------
                         Accession No*  5602000001     (cont)
reserpine< 50-55-5>
resorcinol<108-46-3>
saccharin<81-07-2>
safrole<94-59-7>
selenious acid<7783-00-8>
selenium sulf ide<7446-34-6>
selenourea<630-10-4>
silver cyanide<506-64-9>
sodium azide<26628-22-8>
sodium cyanide<143-33-9>
streptozotocin<18883-66-4>
strontium sulf ide<1314-96-l>
strychnine<57-24-9>
tetrachloroethene<127-18-4>
tetrachloromethane<56-23-5>
tetraethyl dithiopyrophosphate
   <3689-24-5>
tctraethyl lead<78-00-2>
tetraethyl pyrophosphate<107-49-3>
tetrahydofuran<109-99-9>
tetranitromethane<509-14-8>
thallic oxide<1314-32-5>
thallium acetate<563-68-8>
thallium carbonate<29809-42-5>
thallium chloride<7791-12-0>
thallium nitrate<10102-45-l>
thallium selenite
thallium sulfate<7446-18-6>
thloacet am ide< 62-55- 5>
thiosemicarbazide<79-19-6>
thiourea<62-56-6>
thluram<137-26-8>
toluene dilsocyanate<26471-62-5>
toluene<108-88-3>
toluenediamine<25376-45-8>
toxsphene<8001-35-2>
tr ibromome th ane<75-25-2>
trichloroethene<79-01-€>
trichlorof luoromethane<75-69-4>
trichloromethanethtol<75-70-7>
trinitrobenzene<99-35-4>
tris(2/3-dibromopropyl)phosphate
   <126-72-7>
trypan blue<72-57-l>
uracil mjjstard<66-75-l>
urethane<51-79-6>
vanadic acid/ ammonium salt
vanadium pentoxide<1314-62-l>
xylene<1330-20-7>
zene sulfonamide
zinc cyanide
                         383

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                             Accession No.  5602000001     (cent)

    zinc phosphide<1314-84-7>
(CAS)  CAS registry numbers of substances included in data base: 311-45*
    5; 630-20-6;  71-55-6; 79-34-5;    75-34-3; 75-35-4; 57-14-7;
    95-94-3; 96-12-8; 106-93-4; 95-50-1;       107-06-2; 78-87-5;
    1615-80-1; 540-73-8; 122-66-7; 57-55-6; 156-60-5;       541-73-1;
    542-75-6; 504-60-9; 1120-71-4; 110-57-6; 106-46-7;     123-91-1;
    130-15-4; 5344-82-1; 106-89-8; 86-88-4; 134-32-7; 58-90-2;
    95-95-4; 93-76-5; 93-72-1; 88-06-2; 120-83-2; 94-75-7; 105-67-9;
    51-28-5; 121-14-2; 541-53-7; 87-65-0; 606-20-2; 1338-23-4; 91-58-7;
    95-57-8; 131-89-5; 640-19-7; 80-62-6; 75-55-8; 75-86-5; 91-59-8;
    79-46-9; 109-06-8; 107-19-7; 88-85-7; 91-94-1; 119-90-4; 56-49-5;
    101-14-4; 534-52-1; 504-24-5; 101-55-3; 3165-93-3; 100-02-7;
    2763-96-4; 99-55-8; 57-97-6; 145-73-3; 39196-18-4; 75-07-0;
    67-64-1;       75-05-8; 98-86-2; 75-36-5; 107-02-8; 79-06-1;
    79-10-7; 107-13-1;      309-00-2; 107-18-6; 80-15-9; 122-09-8;
    100-44-7; 20859-73-8; 61-82-5;      131-74-8; 62-53-3; 1327-52-2;
    1303-28-2; 1327-53-3; 1332-21-4;   2465-27-2; 115-02-6; 542-62-1;
    225-51-4; 98-07-3; 71-43-2; 98-09-9;   108-98-5; 92-87-5; 56-55-3;
    50-32-8; 98-07-7; 111-91-1; 111-44-4;     39638-32-9; 117-81-7;
    542-88-1; 598-31-2; 74-83-9; 357-57-3;     13765-19-0; 592-01-8;
    75-15-0; 353-50-4; 75-87-6; 305-03-3; 57-74-9;       107-20-0;
    108-90-7; 510-15-6; 124-48-1; 75-01-4; 110-75-8; 67-66-3;
    74-87-3; 107-30-2; 218-01-9; 544-92-3; 1319-77-3; 4170-30-3;
    98-82-8;      57-12-5; 506-68-3; 506-77-4; 460-19-5; 110-82-7;
    108-94-1; 50-18-0;   20830-81-3; 55-91-4; 84-74-2; 117-84-0;
    621-64-7; 2303-16-4; 53-70-3;      189-55-9; 124-48-1; 74-95-3;
    75-71-8; 75-09-2; 696-28-6; 60-57-1;     1464-53-5; 84-66-2;
    56-53-1; 94-58-6; 60-51-5; 131-11-3; 77-78-1;     124-40-3;
    79-44-7; 62-75-9; 142-84-7; 115-29-7; 72-20-8; 141-78-6;
    140-88-5; 60-29-7; 97-63-2; 62-50-0; 107-12-0; 75-21-8; 96-45-7;
    107-15-3; 151-56-4; 206-44-0; 86-73-7; 7782-41-4; 75-69-4; 50-00-0;
    64-18-6; 110-00-9; 98-01-1; 76-44-8; 118-74-1; 87-68-3; 58-89-9;
    77-47-4; 70-30-4; 1888-71-7; 757-58-4; 302-01-2; 74-90-8;
    7664-39-3;       7783-06-4; 75-60-5; 193-39-5; 74-88-4; 9004-66-4;
    78-63-1; 624-83-9;       120-58-1; 143-50-0; 303-34-4; 301-04-2;
    7446-27-7; 1335-32-6;    108-31-6; 123-33-1; 109-77-3; 148-82-3;
    628-86-4; 7439-97-6; 74-93-1;      67-56-1; 91-80-5; 16752-77-5;
    126-98-7; 79-22-1; 78-93-3; 1338-23-4;       60-34-4; 108-10-1;
    80-62-6; 298-00-0; 56-04-2; 494-03-1; 71-36-3;     70-25-7;
    759-73-9; 684-93-5; 615-53-2; 924-16-3; 621-64-7; 1116-54-7;
    55-18-5; 62-75-9; 86-30-6; 100-75-4; 930-55-2; 103-85-5; 107-10-8;
    91-20-3; 12612-55-4; 557-19-7; 54-11-5; 10102-43-9; 98-95-3;
    10102-44-0; 10102-44-0; 10544-72-6; 55-63-0; 636-21-5; 152-16-9;
    20816-12-0; 59-50-7; 106-47-8; 60-11-7; 100-01-6; 123-63-7;
    56-38-2;       608-93-5; 76-01-7; 82-68-8; 87-86-5; 62-44-2;
    108-95-2; 696-28-6;     62-38-4; 298-02-2; 75-44-5; 7803-51-2;
    1314-80-3; 85-44-9; 151-50-8;       506-61-6; 23950-58-5; 107-12-0;
    110-86-1; 50-55-5; 108-46-3; 81^07-2;      94-59-7; 7783-00-8;
    7446-34-6; 630-10-4; 506-64-9; 26628-22-8;   143-33-9; 18883-66-4;
    1314-96-1; 57-24-9; 127-13-4; 56-23-5;     3689-24-5; 78-00-2;
    107-49-3; 109-99-9; 509-14-8; 1314-32-5;     563-68-8; 29809-42-5;
    7791-12-0; 10102-4S-1; 7446-18-6; 62-55-5;      79-19-6; 62-56-6?


                             384

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                             Accession No.   5602000001     (cont)

    137-26-8;  26471-62-5; 108-88-3; 25376-45-8;    8001-35-2; 75-25-2;
    79-01-6; 75-69-4; 75-70-7; 99-35-4; 126-72-7;     72-57-1; 66-75-1;
    51-79-6; 11115-67-6;  1314-62-1; 1330-20-7;     1314-84-7
(CNM)  Contact name(s):  Friednan/D. ; Francine Jacoff
(CQR)  Contact organization: Office of Solid Haste Hazardous &
    Industrial Waste
(RGR)  Responsible Organization: Office of Solid Waste and Emergency
    Response.Off ice of Solid Haste.Hazardous and Indu
                             385

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                             Accession Ho.   5602000102

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Incinerator Trial Burn Data  Base
(ACR)  Acronym of Data Base  or Model: None
(MED)  Media/Subject of Data Base or Model:  Effluents Combustion
    chamber/  after burner ;£misslons  Stack  gas
(ASS)  Abstract/Overview of  Data Base or Model: This data base  contains
    summaries of trial burns  conducted at various facilities with
    different types of     incinerators (i.e.  wet or oxidation/
    multiple hearth,  refractory lined furnaces/ liquid injection/
    rotary kiln/   pyrolyzer/ rich flume/ and  fluidized bed).  Data
    Includes:  waste characteristics/ test burn data/ control effluent
    data/ and test burn operating conditions.
(CTC)  CONTACTS: Subject matter   Eugene Grumpier  (202) 382-4785 ;
    EPA Office Eugene Grumpier (202) 382-4785
(DTP)  Type of data collection or monitoring:  Point source data
    collection Industrial incinerators
(STA)  Data Base status: Discontinued
(NPP)  Non-pollutant parameters included in  the data base: Chemical
    data jLocation ;Waste characteristics ;Test burn data ;  Control
    effluent data ;Test burn operating conditions ^Incinerator  type
(DS)  Time period covered by data base: 01-01-76 TO 11-30-79
(TP.M)  Termination of data collection: Occurred 11/30/79
(FRQ)  Frequency of data collection or sampling: Other  Continuous
    monitoring of each individual trial burn until   completion*   Trial
    burns ranged from one to several days.
(NOB)  Kumber of observations in data base:  1761.(Estimated)
(NEI)  Estimated annual increase of observations in data base:  (N/A. )
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources covered in data base:  34.
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(KQF)  lumber of facilities  covered in data  base (source monitoring):  8.
(GEQ)  Geographic coverage of data base: Selected federal region
    Wisconsin/ California/ Ohio, Texas, and    Minnesota
(LOG)  Data elements identifying location of station or source  include:
    State
(FAC)  Data elements identifying facility include: Plant facility name
    jPlant location
(CDS)  Pollutant identification data are: Oncoded
(LIM)  Limitation/variation  in data of which user should be aware: The
    following list indicates the facility/ type   of incinerator/ and
    wastes burned at each facility:    facility:  Zimpro (Wisconsin)/
  i  incinerator type:  wet air oxidation/ waste:  Ambien waste coke
    plant waste   facility:   City of Palo Alto (California),
    incinerator type:     municipal multiple/  Hearth sewage sludge I./
    waste:  DDT/ solid, 2,4/5-T (Weedon)    facility:  M/T Vulcanus,
    incinerator type:  2-Refractory lined   furnaces, waste: Herbicide
    Orange facility:  Morquardt Co. (California)/ incinerator type:
    Liquid  Injection/ waste:  Hexachloro cyclo pentadiene, Ethylene
    Manufacturing waste facility:  Midland Ross (Toledo/ Ohio)/
    incinerator type:   Rotary Kiln Pyrolyzer/ waste:  Acetic Acid


                             386

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                             Accession No.   5602000102     (cont)

    Solution of Kepone/   Toledo Sludge & Kepone coincineration
    facility:  Midland Ross (Toledo/  Ohio),  incinerator type:
    Pyrolysis Rich Fume I., waste:   Petroleum Refinery Haste/    Styrene
    uaste/  rubber waste   facility:   systems Tech.  (Ohio)/  incinerator
    type:   Fluidized    Bed/ waste:   methyl  raethacrylate Phenol baste
    facility:  Rollins (Texas)/ incinerator  type:  Liquid Injection/
    uaste:   NHrochlorobenzene/  PCB's/ PCB's  u/capacitors   facility:   3
    M Co.  (Minnesota)/ incinerator  type:  Rotary Kiln/  uaste:
    Polyvinyl Chloride
(DPR)  Data collect./anal, procedures conform to ORD guidelines:  Saraplin
    g plan documented ^Collection method documented /Analysis  method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit is  satisfactory  for 60.
(PRE)  Precision: Precision and accuracy estimates  exist for all
    measurements
(EOT)  Editting: Edit procedures used but undocumented.
(CBY)  Data collected by: Contractor A.D, Little (4 tests)/ Versar (2
    tests)/ TRW (4  tests)/ Environment
(ABY)  Data analyzed by:  Contractor  A.D. Little/ Versar/ TRft/  and NUS
    Corporation
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data  collection: Development of regulations
    or standards
(PR2)  Secondary purpose of data collection: Program evaluation
(AUT)  Authorization for data collection: Ho statutory requirement:
    Data collection requirement is     t« develop 8CRA standards for
    hazardous waste incineration/ 40 CFR 264     Subpart 0 and 265
    subpart 0.
(OMB)  Data collected/submitted using OMB-approved  SPA reporting  forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    Destroying Chemical Wastes  In Commercial Scale  Incinerators.
    Final Report/ Washington DC/ OSEPA/     Contract No. 68-01-2966.
    Whitmore/ Frank/ D. & Robert L.  BurFee.  A Study of Pesticide
    Disposal in a Sewage Sludge  Incinerator.  USEPA/ Contract No*
    68-01-1587.     Ackerroan, D.G./  H.J. Fisher/ R.J. Johnson/ B.f.
    Maddaloe,   B.J. Mathews/ E.L.  Moon/ K.H. Scheyer/ C.C. Shih, and
    R.F. Tobias.  At-sea Incineration of Herbicide  Orange  On-Board the
    M/T Vulcanus.  OSEPA/ 1978  April/ Contract     No. 68-01-2966.
    Bell/ Bruce A/ & Whitmore/  Frank C./ Kepone Incineration    Test
    Program.  USEPA/ 1978 May/  Grant No. R-805112.     "The PCB
    Incineration test made by Rollins Environmental    Services of Deer
    Park/ Texas."  November 12-16/  1979.  A     report to USEPA Region
    6/ Dallas/ Texas.     All of the trial burn data is compiled  as an
    appendix to    the incineration background document of 40CFR  Part
    264 subpart 0.  Draft September 2/ 1980.
(NUS)  Number of regular users  of data base: 10
(USR)  Current regular users of data base:  EPA headquarter offices
    Office of Solid Haste/ Hazardous and     Industrial Haste  Division
    Public
(CNF)  Confidentiality of data  and  limits on access: No limits on


                             387

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                             Accession No.   5602000102      (cont)

    access to data
(DLC)  Primary physical location of data:  Headquarters  office
(GST)  Form of date storage:  Original form (hardcopy,  readings)
(DAC)  Type of data access:  Manually
(CHG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base master file up-date:  Other No further
    updates, all trial burns completed
(CMp)  Completion of form:
    Joanne Corini
    OFC: EPA/Office of Solid Waste
    AD: 401 M St SW Washington, DC 20460
    PH: (202) 755-9206
(OF)  Date of form completion: 01-25-83
(NMAT)  Number of substances represented In data base:  15
(NCAS)  Number of CAS registry numbers in data base: 4
(MA?)  Substances represented in data base:
    2,4,5-trichlorophenoxyacetic         kepone<143-50-0>
       acid (T)<93-76-5>                 methyl raethacrylate<80-62-6>
    ambien waste                         petroleum refinery waste
    coke plant wastes                    phenol waste
    ddt                                  polychlorlnated biphenyls (PCBs)
    ethylene manufacturing wastes        polyvinyl chloride
    herbicide orange                     rubber waste
    hexachlorocyclopentadiene<77-47-4>   styrene waste
(CAS)  CAS registry numbers of substances included in data base:  93-76-5
    ; 77-47-4; 143-50-0; 80-62-6

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                             Accession No.   6201000101

CDQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  UPGRADE
(ACR)  Acronym of Data Base  or Model:  UPGRADE
(MED)  Media/Subject of Data Base or Model:  Air ;Drinking water  ;Ground
    water ;Surface water Rivers, lakes, and streams ;     Other
    mortality data: 1959-1961 and 1968-1972.
(ABS)  Abstract/Overview of  Data Base or Model: UPGRADE contains data
    froir SAROAD (Storage  and Retrieval of Aerometric  Data),  STCRET
    (Storage and Retrieval of Uater Quality Data), NASQAN (national
    Stream Quality Accounting Network), and the National   Center  for
    Health Statistics* Mortality File.
(CTC)  CONTACTS: Subject matter   Lance Wallace  (202)426-2175     j
    Computer-related  Larry
(DTP)  Type of data collection or monitoring: Combination/Other  All
    types of data collection used
(STA)  Data Base status; Discontinued
(GRP)  Groups of substances  represented in  Data Base:  5 NESHAPS  ;7
    criteria NAAQS jll conventional water ;21 drinking  uater standards
    15 metals
(NPP)  Non-pollutant parameters included in the data base:  Elevation
    ;Health effects political subdivisions population demographics  ;
    Population density ;Precipitation ^Sampling date jSite description
    /  Temperature
(DS)  Time period covered by data base! 01-01-70 TO 12-30-70
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: Other  ongoing
    different for each segment of data base (air,  water,     mortality,
    demographic)
(NOB)  Number of observations in data base:  715000
    mortality.(Estimated) ;    6250 water.(Estimated)    }     75000
    air.(Esti
(NEI)  Estimated annual increase of observations in data base: 700000
    (mortality.) ;    (none.)   ;    (none.)   j    (none.)
(INF)  Data base Includes; Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources  covered in  data base:  250
    (water.)   ;    8000 (air.)
(NCS)  No. stations or sources currently originating/contributing  data:
    2000 (water.)  ;    6400 (air.)
(NOF)  Number of facilities  covered in data base (source monitoring): (N
    /A.)    ;    (N/A.)
(GEO)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or source include:
    State ;County Congressional district ;SMSA Coordinates
    Latitude/longitude
(FAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant identification data are! Storet parameter
    Saroad parameter
    Other coding scheme International Classification of
    Diseases-Adapted
(LIM)  Limitation/variation  in data of which user should be aware: Air-b
    ad sampling methods for  S0<2>,     N0<2>, Ozone.


                             389

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                             Accession No.   6201000101      (cont)

    Mortality-diagnostic differences   between doctors/coroners*
    Quality assurance procedures used varies by segment  and type of
    data.
(AND  Lab analysis based on EPA-approved or accepted methods?  NO
(AUD)  Lab Audit:  Data not based on lab analysis.
(PRE)  Precision:  Precision and accuracy estimates partially exist for
    all data depending on  segment and source. Edit depending on
    segnent, type/  and source.
(CSV)  Data collected by: Local agency local air and uater  pollution
    control agencies /     State agency state registrars of deaths
    ;Regional office All Regional Offices ;  EPA lab Environmental
    Monitoring Systems Lab-Research  Triangle Park (for  air data)  ;
    Other  federal  agency Census Bureau ;other sources as appropriate to
    local  situation
(A8Y)  Data analyzed by: EPA lab Hater data: local labs  (agency and
    contractor)/  air data: Environmental Monitoring Systems
    Lab-Research Triangle Park.
(IDL)  Laboratory  identification: NO
(PR2-)  Secondary'purpose of data collection: Special study
(AUT)  Authorization for data collection: No statutory requirement:   It
    is Important  to have access to multi-media    environmental data
    since  most statutes are single media in  nature.
(OMB)  Data collected/submitted using OHB-approved EPA  reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  On-line
    computer
(NUS)  Number of  regular users  of data base: 10 at EPA
(USR)  Current regular users of data base: EPA headquarter  offices
    Office of Monitoring and Technical  Support/Office of Research and
    Development Office of Pesticides and Toxic  Substances
(CNF)  Confidentiality of data  and limits on access: No  limits  on
    access to data
(DLC)  primary physical location of data: NCC/UNIVAC ;NCC/IBM >0ther
    Federal Agency: United States Geological Survey
(DST)  Form of data storage: Magnetic tape ;Magnetic disc
(DAC)  Type of data access: Commercial software Boeing system
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency  of data base  master file up-date: Other as needed  and
    depending on  type of data and its source
(RD8SPA)  Related  EPA data bases used In conjunction with this  data  base
    SARCAD, STORET
(OD8)  Cther pertinent non-EPA  data bases: Mortality-National Center
    for Health Statistics
(CSMP)  Completion  of form:
    Lance  Wallace
    OFC: EPA/(ORD)/(OMTS)
    AD: 401 M St., S.W. Washington, D.C. 20460
    PH: (202)426-2175
(DF)  Date of form completion:  12-10-82
(WAT)  Number of  substances represented in  data base:  50
(NCAS)  Number of  CAS registry  numbers in data base: 44
                             390

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                             Accession So«   6201000101      Ccont)

(MAT)  Substances represented in data base:
    2,4-dichlorophenoxyacetic            methoxychlor<72-43-5>
       acid (2,4-d)<94-75-7>             microbiology conform bacteria
    acidity                              nickel<7440-02-0>
    alkalinity                           nitrate<14797-55-8>
    arsenic<7440-38-2>                   nitrogen dioxlde<10102-44-0>
    asbestos<1332-21-4>                  nltrogen<7727-37=9>
    barium<7440-39~3>                    oil and grease
    ben2ene<71-43-2>                     oxygen demand
    beryllium<7440-41-7>                 ozone<10028-15-6>
    cadmium<7440-43-9>                   ph
    carbon monoxide<630-08-0>            phosphorus<7723-14-0>
    chrcinimn<7440-47-3>                  photon emitters
    cobslt<7440-48-4>                    radium 226<13982-63-3>
    copFer<7440-50-8>                    radium 228<15262-20-1>
    dissolved oxygen                     seleniura<7782-49-2>
    dissolved solids                     silver<7440-22-4>
    endrin<72-20-8>                      silvex<93-72-l>
    fecal coliform                       sulfur dioxide<7446-09-5>
    gross alpha                          suspended solids
    hydrocarbons                         titanium<7440-32-6>
    iror<7439-89-6>                      total suspended particulates
    lead<7439-92-l>                      toxaphene<8001-35-2>
    lindane<58-89-5>                     turbidity
    man5anese<7439-96-5>                 vanadiura<7440-62-2>
    manmade beta                         vinyl chloride<75-01-4>
    raercury<7439-97-6>
(CAS)  CRS registry numbers of substances included in data base:  94-75-7
    ; 7440-38-2; 1332-21-4; 7440-39-3;    71-43-2; 7440-41-7;
    7440-43-9; 630-08-0; 7440-47-3; 7440-48-4;   7440-50-8; 72-20-8;
    7439-89-6; 7439-92-1; 58-89-9; 7439-96-5;    7439-97-6; 72-43-5;
    7440-02-0; 14797-55-8; 10102-44-0; 7727-37-9;     10028-15-6;
    7723-14-0; 13982-63-3; 15262-20-1; 7782-49-2; 7440-22-4;
    93-72-1;  7446-09-5; 7440-32-6; 8001-35-2; 7440-62-2; 15-01-4
(CMK)  Contact narae(s): Wallace,L.;    Milask^L. ;    Kallace,L.
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Monitoring Systems and Quality Assurance
                             391

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                             Accession No.   6202000103

(Dq)  Date of Questionaire; 12-02-82
(NAM)  Name of Data Base of Model:  International Air Data Base
(ACR)  Acronym of Data Base or Model:  WHO-WMO
(MED)  Media/Subject of Data Base or Model:  Air ^Atmospheric deposition
(A8S)  Abstract/Overview of Data Base or Model: International data base
    containing ambient   data from the liorld Health Organization (WHO)
    and precipitation data from the World Meteorological  Organization
    (WMQ).
(CTC)  CONTACTS!  Subject matter   E. Gardner Evans  (919) 541-3887;
    Computer-related  E. Gar
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base  status: Operational/ongoing
(GRP)  Groups of  substances represented in Data Base: 7 criteria NAAQS
(NPP)  Non-pollutant parameters included in the data base: Political
    subdivisions  ;Sampling date ;Site description
(DS)  Time period covered by data base: 01-01-72 TO 06-30-81
(TRM)  Termination of data collection: Not anticipated
(FRQ)  Frequency  of data collection or sampling: daily
(NOB)  Number of  observations in data base:  500000.(Estimated)
(INF)  Data base  includes: Raw data/observations
(NTS)  Total number of stations or sources covered in data base: 100.
(NCS)  Ko. stations or sources currently originating/contributing data:
    100.
(NGF)  Number of  facilities covered in data base (source monitoring): (N
    /A.)
(GEO)  Geographic coverage of data base: International
(LOG)  Data elements identifying location of station or source include:
    State jcounty ;City ;Street address Coordinates UTM ;Project
    identifier
(CDE)  Pollutant  identification data are: Saroad parameter
(LlM)  Limitation/variation in data of which user should be auare: Due
    to large number of data contributors,    data quality assurance is
    not controllable.
(DPR)  Data collect./anal, procedures conform to CRD guidelines: ORD
    Guidelines
(PRE)  Precision: Precision and accuracy estimates exist but are not
    included in data base
(EDT)  Fditting:  Edit procedures used and documented.
(CBY)  Data collected by: various environmental protection agencies
    around the world
(ABY)  Data analyzed by: various environmental protection agencies
    around the world
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Trend assessment
(PR2)  Secondary  purpose of data collection: Anticipatory/research
(ADT)  Authorization for data collection: No statutory  requirement:
    Data collection requirement is    to study uorld-uide air quality
    trends.
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    158-R-0012
(REP)  Form of available reports and outputs of data base: Publications
    Global Monitoring for selected Atmospheric     Constituents-yearly


                             392

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                             Accession No.   6202000103      (cont)

    Printouts on request
(NUS)  Number of regular users of data base:  10 offices at least
(USR)  Current regular users of data base:  EPA laboratories
    World Health Organization
    World Meteorological Qrgani2ation
(CNF)  Confidentiality of data and limits on access:  No limits on
    access to data
(DLC)  Primary physical location of data: NCC/UNIVAC
COST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: EPA software  Locally developed programs
    MIDS:6202000103 ;EPA hardware UNlVAC
(CHG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base master file up-date:  Monthly
(CMP)  Completion of form:
    Jon Clark
    OFC: EPA/(ORD)/(OMTS)/(EMSL-RTP)
    AD; MD-56 Research Triangle Park, NC 27607
    PH: (919) 541-3999
(DF)  Date of form completion: 12-09-82
(NMAT)  Number of substances represented in data base:  3
(NCAS)  Number of CAS registry numbers in data base:  2
(NAT)  Substances represented in data base:
    carbon monoxide<630-08-0>            total suspended particulates
    sulfur dioxide<7446-09-5>
(CAS)  CAS registry numbers of substances included in data base: 630-08-
    0; 7446-09-5
(CNM)  Contact naroe(s): Evans,E.G.?    Evans/E.G.;    Akland/G.
(ROR)  responsible Organization: Office of Research  and
    Development.Office of Monitoring Systems and Quality Assurance
                             393

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                             Accession  No.   6202000106

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Marce of Data Base of  Model:  Inhalable Particulate  Analysis  Bank
(ACR)  Acronym of Data Base  or Model:  IPBANK
(M£D)  Media/Subject of Data Base or Model:  Air
(ABS)  Abstract/Overview of  Data Base  or Model:  The data  base  consists
    of the analyzed data  passes to it  by the Inhalable Particulate
    Bank.   The   data has statistical  tests  applied to  it in order to
    determine whether the values should be voided,    considered
    questionable, or considered valid.   The      valid data is  used for
    the Inhalable Particulate  Regulation Studies.
(CTC)  CONTACTS:  Subject matter  Barry  Martin (919)541-3076;
    Computer-related  Gardner Evans  (919)541-3887; EPA Office Barry
    Martin  (919)541-3076
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in Data  Base: 15  metals
(NPP)  Non-pollutant parameters included in  the  data base: Collection
    method Concentration measures  ;Sampling data /Site description  ;
    Test/analysis method ;Volume/mass  measures >meteorological data
(OS)  Time period covered by data base: 05-01-79 TO 12-31-81
(TRM)  Termination of data collection:  Anticipated  12/30/83
(FRQ)  Frequency of data collection or  sampling: Other  every  six  days
(NOB)  Number of observations in data  base:  50000.(Estimated)
(NEI)  Estimated annual increase of observations in data  base: 100000.
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or  sources covered  in data base:  300.
(NCS)  No. stations or sources currently originating/contributing  data:
    90.
(NOF)  number of facilities  covered in  data  base (source  monitoring):  (N
    /A.)
(GEO)  Geographic coverage of data  base: National
(LOC)  Data elements identifying location of station or source include:
    State ;County ;City ;Project identifier
(CDE)  Pollutant identification data are: Saroad parameter
(LIM)  Limitation/variation  in data of  which user should  be aware: None
(DPR)  Data collect./anal, procedures  conform to CRD guidelines:  ORD
    Guidelines
(AHL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit  is satisfactory.
(PRE)  precision: Precision  and accuracy estimates  exist  but  are  not
    included in data base
(SDT)  Editting: Edit procedures used and documented.
(CfiY)  Data collected by: Local agency Many  participating agencies
    across the country. ;    State  agency every state government
    ^Regional office all regional offices ;      EPA lab Environmental
    Monitoring Systems Lab-Research  Triangle Park, NC
(ABY)  data analyzed by: Contractor lab Lawrence Berkeley Laboratory,
    CA    and EMSL
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection: Development  of regulations
    or standards
(PR2)  Secondary purpose of  data collection: Technology development


                             394

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                             Accession No.   6202000106     Ccont)

(AUT)  Authorization for data collection:  Statutory authorization  is P
    L 88-206 as amended. Section 110 (Clean Air    Act-CAA)
(OMB)  Data collected/submitted using GMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Printouts on
    request
    Machine-readable raw data
    On-line computer
(NUS)  Number of regular users of data base: 20-50
(OSR)  Current regular users of data base:  EPA headquarter  offices
    Office of Toxic Substances, Office of  Air     Quality Planning and
    Standards
    EPA regional offices
    EPA laboratories
    States
    local agencies
(CNF)  Confidentiality of data and limits  on access: No limits on
    access to data
(DLC)  Primary physical location of data:  NCC/UNIVAC
(OST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: Commercial software System 2000,  and
    locally written cobol  programs
(CHG)  Direct charge for non-EPA use: No outside use/access permitted
(UPDT)  Frequency of data base master file up-date: Meekly
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    Precision and Accuracy Reporting System (PARS)
(CMP)  Completion of form:
    Jon B. Clark
    OFC: EPA/(ORD)/(OMTS)/(EMSL-RTP)/(DMAD)/
    AD: Research Triangle Park, North Carolina
    PH: (919)541-3999
(DF)  Date of form completion: 12-09-82
(NMAT)  Number of substances represented in data base: 18
(NCAS)  Number of CAS registry numbers in  data base: 15
(MAT)  Substances represented in data base:
    arsenic<7440-38-2>
    barium<7440-39-3>
    beryllium<7440-41-7>
    cadmiura<7440-43-9>
    chromium<7440-47-3>
    cobalt<7440-48-4>
    copper<7440-50-8>
    iron<7439-89-6>
    lea
    mancanese<7439-96-5>
    mercury<7439-97-6>
    nickel<7440-02-0>
    nitrates/nitrites
    selenium<7782-49-2>
    sulfates
    titenium<7440-32-6>
    total suspended particulates


                             395

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                             Accession No.  6202000106     
(CAS)  CAS registry numbers of substances included in data base: 7440-38
    -2; 7440-39-3; 7440-41-7; 7440-43-9;   7440-47-3; 7440-48-4;
    7440-50-8; 7439-89-6; 7439-92-1; 7439-96-5;     7439-97-6;
    7440-02-0; 7782-49-2; 7440-32-6; 7440-62-2
(C?}M)  Contact name(s): Rodes,C.  ;    Evans,G.  ;    Rodes/C.
(ROR)  Responsible Organization: Office of Research and
    Development.Off ice of Monitoring Systems and Quality Assurance
                             396

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                             Accession No.   6202000107

(DQ)   Date of Questionairei  12-02-82
(NAM)  Name of Data Base of  Model:  Inhalable Particulate  Network
(ACR)  Acronym of Data Base  or  Model:  IPMN
(MED)  Media/Subject of Data Base or Model:  Air
(ABS)  Abstract/Overview of  Data Base  or Model:  The Inhalable
    Participate Network contains a breakdown of  particulate  data  by
    size.  The data base  will  be used to determine the need for  a new
    standard  and the fate of the Total Suspended Particulate
    standards.
(CTC)  CONTACTS:  Subject matter  Barry Martin (919)541-3076;
    Computer-related Tom Lawless (919)541-2291;  EPA Office Barry
    Martin (919)541-3076
(DTP)  type of data collection  or monitoring: Ambient data collection
(STA)  Data Base  status: Operational/ongoing
(GRp)  Groups of  substances  represented in Data  Base: 15  metals
(KPP)  Non-pollutant parameters included in  the  data base: Collection
    method Concentration measures ;Flow rates ;Physical  data  ;
    Sampling date ;Site description ;Test/analysis method ;Volume/mass
    measures
(DS)   Time period covered by data base: 05-01-79 to 12-31-81
(TRM)  Termination of data collection: 12-30-83
(FRQ)  Frequency  of data collection or sampling: ether  every six  days
(NOB)  Number of  observations in data  base:  70000.(Estimated)
(NEI)  Estimated  annual increase of observations in data  base: 100000.
(INF)  Data base  includes: Raw  data/observations
(NTS)  Total number of stations or sources covered in data base:  300.
(NCS)  No. stations or sources  currently originating/contributing data:
    90.
(NOF)  Number of  facilities  covered in data  base (source  monitoring):  (N
    /A.)
(GEQ)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or source include:
    State ;County ;City ;Preject identifier
(CDE)  Pollutant  identification data are: Saroad parameter
(LIM)  Limitation/variation  in  data of which user should  be  aware: None
(DPR)  Data collect./anal. procedures  conform to ORD guidelines:  ORD
    Guidelines
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit  is  satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist  but are  not
    included in data base.
(EOT)  Editting:  Edit procedures used  but undocumented.
(CBY)  Data collected by: Local agency many  participating local
    agencies across the  country ;   State  agency every state
    government ;Regional office all Regional offices ;     EPA lab
    Environmental Monitoring Systems Lab-Research  Triangle  Park, NC
(ABY)  Data analyzed by: EPA lab Environmental Monitoring Systems
    Lab-Research   Triangle Park, NC
    Contractor lab Laurence Berkeley Laboratory, CA
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data  collection: Development  of regulations
    or standards


                             397

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                             Accession No.   6202000107     (cent)

(PR2)  Secondary purpose of data collection: Technology development
(AOT)  Authorization for data collection! Statutory authorization is P
    L 86-206 as amended, Section 110 (Clean Air    Act-CAA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Printouts on
    request
    Machine-readable raw data
    On-line computer
(NUS)  Number of regular users of data base: 20-50
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Toxic Substances
    EPA regional offices
    EPA laboratories
    States
    local agencies
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(CLC)  Primary physical location of d^taj NCC/UKI¥AC
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: Commercial software System 2000
(CHG)  Direct charge for non-EPA use: no outside use/access permitted
(UPDT)  Frequency of data base master file  up-date:  Other as needed
(CMP)  Completion of form:
    Jon B. Clark
    OFC: EPA/(ORD)/(OHTS)/(EMSL-RTP)/(DMAD)/
    AD: Research Triangle Park, North Carolina
    PH: (919)541-3999
(DF)  Date of form completion: 12-09-82
(NMAT)  Number of substances represented in data base: 18
(NCAS)  Number of CAS registry numbers in data base: 15
(MAT)  Substances represented in data base:
    arsenic<7440-38-2>                   manganese<7439-96-5>
    bariuro<7440-39-3>                    oercury<7439-97-6>
    berylliura<7440-41-7>                 nickel<7440-02-0>
    cadmiUffl<7440-43-9>                   nitrates/nitrites
    chromium<7440-47-3>                  seleniutn<7782-49-2>
    cobalt<7440-48-4>                    sulfates
    copper<7440-50-8>                    titaniura<7440-32-6>
    iron<7439-89-6>                      total suspended particulates
    leac<7439-92-l>                      vanadium<7440-62-2>
(CAS)  CAS registry numbers of substances included in data  base: 7440-38
    -2j 7440-39-3; 7440-41-7; 7440-43-9;   7440-47-3; 7440-48-4;
    7440-50-8; 7439-89-6; 7439-92-1; 7439-96-5;     7439-97-6;
    7440-02-0; 7782-49-2; 7440-32-6; 7440-62-2
(CNM)  Contact narae(s): Rodes/C.  ;    Lauless^T.;    Rodes^C.
(RQR)  Responsible Oryanization: Office of  Research and
    Development,office of Monitoring Systems and Quality Assurance
                             398

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                             Accession No.   6202000103

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model: Los Angeles Catalytic Study
(ACR)  Acronym of Data Base or Model:  LACS
(MED)  Media/Subject of Data Base or Model:  Air
CABS)  Ibstract/Overview of Data Base or Model; The Los Angeles
    Catalytic Study was an intensive  study of traffic  and pollutant
    relationships in Los    Angeles and the effects of  catalytic
    converters on     pollutant levels.
CCTC)  CONTACTS: Subject matter   Charles Rodes  (919)541-3076     ;
    Computer-related  Gardne
(DTP)  Type of data collection or monitoring:  Ambient data collection
(STA)  Tata Base status: Update terminated
(GRp)  Groups of substances represented in  Data Base: 7 criteria  NAAQS
(NPP)  Non-pollutant parameters included in the data base:  Chemical
    data jCollection method ^Concentration  measures /Elevation }
    Location /Sampling date ;Site description  /Temperature
    ;Test/analysis method ;  Volume/mass measures jWind direction ;tfind
    velocity
(DS)  Time period covered by data base: 05-01-74 TO 09-30-80
(TRM)  Termination of data collection: Occurred 09/30/80
(FRQ)  Frequency of data collection or sampling: hourly Jdaily ;weekly
(NOB)  Number of observations In data base:  1000000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: (N/A.)
(INF)  Data base includes: Raw data/observations ^Summary aggregate
    observations
(NTS)  Total number of stations or sources  covered in data base:  9.
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(NGF)  lumber of facilities covered in data base (source monitoring): (N
    /A.)
(GEO)  Geographic coverage of data base: County/smaller location  Los
    Angeles, California area
(LQC)  Data elements identifying location of station or source include:
    State >County jCity ^Coordinates Latitude  and longitude,  UTM, and
    others ;  Project identifier
(COE)  Pollutant identification data are: Saroad parameter
(LiH)  Limitation/variation in data ol which user should be ahare: None
(DPR)  Data collect./anal, procedures conform  to ORD guidelines:  ORD
    Guidelines
(AKL)  Lab analysis based on EPA-approved or accepted methods? YES
(ADD)  Lab Audit: Lab audit is satisfactory.
(PRS)  Precision: Precision and accuracy estimates are  not available.
(EOT)  Editting: Edit procedures used and documented.
(C8Y)  Data collected by: EPA lab Environmental Monitoring Systems
    Laboratory - RTP Contractor lab Los An Board
(ABY)  Data analyzed by: Contractor lab Los Angeles Basin Area Air
    Pollution Control Board
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Anticipatory/research
(PR2)  Secondary purpose of data collection: Special study
(AUT)  Authorization for data collection: Statutory authorization is P
    L 88-206 (The Clean Air Act of 1963 as     amended)


                             399

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                             Accession No.   6202000108     (cont)

(OMB)  Data collected/submitted using DMB-approved EPA reporting forms:
    158-R-0012
(REP.)  Form of available reports and outputs of data base:  Publications
    Los Angeles Catalytic Study Annual Reports
    printouts on request
    Machine-readable raw data
    On-line computer
(NUS)  Pumber of regular users of data bases 20
(USR)  Current regular users of data base:  EPA headquarter  offices
    Mobile Source Enforceaent Office
    EPA laboratories
    States
(CNF)  Confidentiality of data and limits on access: No limits  on
    access to data
(DLC)  Primary physical location of data: NCC/UHIVAC
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: EPA software Locally written Cobol  programs
    ;EPA hardware Univac 1100
(CI1G)  Direct charge for non-EPA use: No outside use/access permitted
(UPDT)  Frequency of data base master file  up-date: Other As needed
(CMP)  completion of form:
    Jon B. Clark
    OFC: Environmental Monitoring Systems Laboratory - ATP
    AD: RTP, NC 27711
    Pfi: (919)541-3999
(DF)  Date of form completion: 12-09-82
(NMAT)  Number of substances represented in data base: 9
(NCAS)  Number of CAS registry numbers in data base: 6
(MAT)  Substances represented in data base:
    benzene<71-43-2>                     ozone<10028-15-6>
    carbon monoxide<63Q-08-0>            sulfur dioxide<7446-09-5>
    hydrocarbons                         total suspended particulates
    lead<7439-92-l>                      trace netals
    nitrogen dioxide<10102-44-0>
(CAS)  CAS registry numbers of substances included in data  base: 71-43-2
    ; 630-08-0; 7439-92-1; 10102-44-0;     10028-15-6; 7446-09-5
(CNM)  Contact name(s): Rodes/C.  ;    Evans,S.  ;    Rodes*C*
(ROR)  Responsible Organization: Office of  Research and
    Development.Off ice of Monitoring Systems and Quality Assurance
                             400

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                             Accession No.   6202000109

(DQ)  Date of Questionaire:  12-02-82
(KAM)  flame of Data Base of  Model:  National Filter  Analysis  Network
(ACR)  Acronym of Data Base  or Model:  FBANK3
(MED)  Fedla/Subject of Data Base or  Model: Air
(ABS)  Abstract/Overview of  Data Base or Model: The National Air
    Monitoring System stores and     analyzes potential  criteria
    pollutants at National     Air Monitoring Sites. The data is  used
    for research   applications.
(CTC)  CONTACTS: Subject matter   Joe Walling  (919)541-2455 ;
    Computer-related  Tom Lawless
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status; Operational/ongoing
(NPP)  ion-pollutant parameters Included in the data base: Collection
    method Concentration aeasures jFlow rates ;Physical data ;
    Sampling date >Site description ^Test/analysis  method /Volume/mass
    measures
(DS)  Time period covered by data base: 01-01-74 to 06-30-82

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                             Accession No.   6202000109     (cont)

(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    158-R-0012
(REP)  Form of available reports and outputs of data base:  Publications
    Air Quality Data for National Air Sampling Network  (yearly)
    Printouts on request
    Machine-readable raw data
    On-line computer
(NUS)  Number of regular users of data base: 20-50
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Air Quality Planning and Standards
    EPA regional offices
    States
    Universities
(C8F)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: NCC/ONIVAC
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: Commercial software System 2000
(CHG)  Direct charge for non-EPA use: No
(UPDT)  Frequency of data base master file  up-date: Other as needed
(RSS)  Belated EPA automated systems which  use data base: Storage and
    Retrieval of Aerosnetric Data (SARQAD)
(CMP)  Completion of form:
    Jon B. Clark
    OFC: EPA/(ORO)/(OMTS)/(EMSL-RTP)/CDMAD)/
    AD: Research Triangle Park/ NC
    PH: (919)541-3999
(DF)  Date of form completion: 12-09-82
(NMAT)  Number of substances represented in data base: 3
(HAT)  Substances represented in data base:
    nitrates/nitrites                    trace metals
    sulfates
(CNM)  contact name(s): Hailing,J.;    Lawless,T.;    h'alling,J.
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Monitoring Systems and Quality Assurance
                             402

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                             Accession  No.   6202000110

  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  National  Atmospheric  Background
    Network
(ACR)  Acronym of Data Base  or Model;  NABN
(MED)  Media/Subject of Data Base or Model:  Air
(ABS)  Abstract/Overview of  Data Base  or Model:  The National  Background
    Monitoring Study data base     contains  ozone and TSP measurements
    from ten national forests.  The   data base  is used  to determine
    background ozone and TSP measurements.
(CTC)  CONTACTS:  Subject matter   Barry Martin  (919) 541-3076;
    Computer-related  Dot Filraore  (919) 541-2718; EPA  Office Barry
    Martin (919)  541-3076
(DTP)  Type of data collection or monitoring:  Ambient data collection
(STA)  Data Base  status: Operational/ongoing
(GRP)  Groups of  substances  represented in Data  Base: 7  criteria NAAQS
(KPP)  Kon-pollutant parameters included in  the  data base: Chemical
    data ;Collection method  Concentration measures ;Elevation ;
    Location ;Samp ling date  ;Site description  ;Temperature
    ;Test/analysis method ;   Wind direction  ;Wind velocity
(DS)  Time period covered by data base: 06-01-75 to 06-30-81
(TFM)  Termination of data collection:  Not anticipated
(FRQ)  Frequency  of data collection or  sampling: hourly
(NOB)  Number of  observations in data  base:  500000.(Estimated)
(NEI)  Estimated  annual increase of observations in data base: 30000.
(INF)  Data base  includes: Raw data/observations
(NTS)  Total number of stations or sources covered in data base: 6
(NCS)  No. stations or sources currently originating/contributing data:
    10.
(NQF)  lumber of  facilities  covered in  data  base (source monitoring):  
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                             Accession No.   6202000110      (cont)

    158-S-0012
(REP)  Form of available reports and outputs of data base:  Unpublished
    reports National Background Monitoring  Study
    Printouts on request
    Machine-readable raw data
    On-line computer
(NUS)  Number of regular users of data base: 10-20
(USR)  Current regular users of data base:  EPA regional  offices
    SPA laboratories
(CNF)  Confidentiality of data and limits on access: So  limits on
    access to data
(DLC)  Primary physical location of data: NCC/OHIVAC
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: EPA software Locally developed  Cobol
    programs ;EPA hardware Univac 1100
(CHG)  Direct charge for non-EPA use: No outside use/access permitted
(UPDT)  Frequency of data base master file  up-date:  Other As needed
(CMP)  Completion of form:
    Jon B. Clark
    OFC: Environ. Monitoring Systems Lab-RTP
    AD: RTP, HC 27711
    PH: (919) 541-3999
(DF)  Date of form completion: 12-09-82
(NMAT)  Kumber of substances represented in data base: 1
(NCAS)  Number of CAS registry numbers in data base: 1
(MAT)  Substances represented in data base:
    ozor,e
(CAS)  CAS registry numbers of substances included  in data  base: 10028-1
    5-6
(CNM)  Contact name(s): Martin,B. ;    Filmore^D.;     Burmann,F.
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Monitoring Systems and Quality Assurance
                             404

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                             Accession  No.   6202000111

(DQ)  Date of Questionaire:  12-02-82
(NAM)   Name of Data Base of  Model:  Source Quality  Assurance  Data  Base
(ACR)   Acronym of Data Base  or Model:  QASRCE
(MED)   ftedia/Subject of Data Base or Model:  Air
(ASS)   Abstract/ Over view of  Data Base  or  Model:  The Source Quality
    Assurance Data Base consists of    known,  blank,  and spiked
    samples sent  to participating laboratories, the results from the
    laboratories* analyses  are returned  and in turn analyzed to
    determine how well the laboratories performed  analyses of different
    air pollutants.
(CTC)   CONTACTS:  Subject matter  Rodney Mldgett (919)  541-2196;
    Computer-related Terry Risher (919)541-2292; EPA Office     Bob
    Fuerst (919)541-2232
(DTP)   Type of data collection or monitoring:  Combination/Other samples
    sent to test  Laboratories' analytical   abilities.
(STA)   Data Base  status: Operational/ongoing
(GRP)   Groups of  substances  represented in Data Base:  7  criteria  NAAQS
(NPP)   Non-pollutant parameters included  in the data base: Chemical
    data ^Concentration measures >Flow  rates ;Site description ;
    Temperature ;Test/analysis method  /Volume/mass measures
(OS)  Time period covered by data base: 01-01-76 TQ 09-30-80
(TRM)   Termination of data collection:  Not anticipated
(FRQ)   Frequency  of data collection or  sampling: monthly
(NOB)   Number of  observations in data  base:  5000.(Estimated)
(NEI)   Estimated  annual increase of observations in data base: 1000.
(INF)   Data base  includes: Raw data/observations
(NTS)   Total number of stations or sources covered in data base:  310.
(NCS)   No. stations or sources currently  originating/contributing data:
    150.
(NOF)   Number of  facilities covered in  data base (source monitoring): 31
    0.
(GEO)   Geographic coverage of data base:  International
(CDE)   Pollutant  identification data are: Other coding scheme
(LiM)   Limitation/variation in data of  which user  should be  aware:  None
(AND   Lab analysis based on EPA-approved or accepted methods? YES
(AUD)   Lab Audit: Lab audit is satisfactory.
(PRE)   Precision: Precision and accuracy  estimates exist but are  not
    included in data base
(EOT)   Editting:  Edit procedures used  but undocumented.
(CBY)   Data collected by: SPA lab Environmental Monitoring Systems
    Lab-Research   Triangle Park, NC
(ABY)   Data analyzed by: EPA lab Environmental Monitoring  Systems
    Lab-Research  Triangle Park, NC
(IOL)   Laboratory identification: YES
(PR1)   Primary purpose of data collection: Technology development
(PR2)   Secondary  purpose of data collection: Program evaluation
(AUT)   Authorization for data collection: Statutory authorization is P
    L 88-206 as amended, Section 110 (Clean Air    Act-CAA)
(DMB)   Data collected/submitted using  OMB-approved EPA reporting  forms:
    QQ
(REP)   Form of available reports and outputs of data base: Publications
    Summary of Interlaboratory Source  Performance  Surveys


                             405

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                             Accession No.   6202000111     (cont)

    Printouts on request
    Machine-readable raw data
    On-line computer
(KUS)  Huntber of regular users of data base:  50-100
(USR)  Current regular users of data base:  EPA regional offices
    EPA laboratories
    States
(CNF)  Confidentiality of data and limits on access: Limits on access
    within EPA and outside agency for some   data
(DLC)  Primary physical location of data: NCC/DNIVAC
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: Commercial software System 2009
(CHG)  Direct charge for non-EPA use: No outside use/access permitted
(UPDT)  Frequency of data base master file  up-date: Other as needed
(CMP)  Completion of form:
    Jon B. Clark
    OFC: EPA/(ORD)/(OMTS)/(EMSL-RfP)/(DMAD)/
    AD: Research Triangle Park/ North Carolina
    PH: 919-541-3999
(DF)  Date of form completion: 12-09-82
(WHAT)  Number of substances represented In data base: 7
(NCAS)  Number of CAS registry numbers in data base: 5
(MAT)  Substances represented in data base:
    carbon raonoxide<630-08-0>            ozone<10028-15-6>
    hydrocarbons                         sulfur dioxide<7446-09-5>
    lead<7439-92-l>                      total suspended particulates
    nitrogen dioxide
(CAS)  CAS registry numbers of substances included in data base:  630-08-
    0; 7439-92-1; 10102-44-0? 10028-15-6;       7446-09-5
(CNM)  Contact name(s): Mldgett/R.?    Fincher/B,;    Fuerst/B.
(KOR)  Responsible Organization: Office of  Research and
    Development.Office of Monitoring Systems and Quality Assurance
                             406

-------
                             Accession  No,   6202000112

(DQ)   Date of  Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Love Canal  Data  Handling  System
(ACR)  Acronym of Data Base  or  Model; CANAL
(MED)  ^edia/Subject of Data Base or Model:  Air  ;Ground  water  ;Sediment
    ;Soil jSurface water Rivers,  streams and any other b area  ;Tissue
    Rats, worms,  and crayfish
(ABS)  Abstract/Over view of  Data  Base or Model:  The data base  contains
    all of the data collected in     the course of the intensive
    monitoring done in the fall of  1980  in  the  Love Canal,  New York
    area.
(CTC)  CONTACTS:  Subject rcatter   Steve Broraberg  (919)  541-2919  ;
    Computer-related  Tom La
(DTP)  Type of data collection  or monitoring:  Combination/Other All
    types of data collection
(STA)  Data Base status: Operational/Ongoing
(GRP)  Groups  of substances  represented in Data  Base: 43 air priority
    cheraicals  ;5 NESHAPS >7  criteria NAAQS }3  HID  CAA }  129 307 CWA
    ;11 conventional water ;41  CMA  potential criteria ;   21  drinking
    water standards ;9 potential  drinking uater  ;29 drinking Hater
    monitoring ;    299 hazardous  substances  ;48  cancelled pesticides >9
    monitoring pesticides ;     54 TSCA  assessment ;RCRA  hazardous
    wastes }16 pre-RPAR ;15  metals
(NPP)  Non-pollutant parameters included in  the  data base: Biological
    date ;Chemical data ^Collection method ^Concentration measures }
    Discharge  points ;Slevation ;Flow  rates  ^Geographic  subdivision ?
    Inspection data ^Location ^Physical data ;Precipitation  ;Sampling
    date ?   Site description ^Temperature ;Test/analysis method
    ;Volume/mass measures ;     Wind direction ;Hind velocity
(DS)   Time period covered by data base: 08-01-80 TO 01-30-81
(TRM)  Termination of data collection:  Anticipated  01/30/81
(FRQ)  Frequency of data collection or  sampling: one time only jhourly
    ;daily
(NOB)  Number  of observations in  data base:  400,000(Estlmated)
(NEI)  Estimated annual increase  of observations in data base: (N/A)
(ISF)  Data base includes: Raw  data/observations
(NTS)  Total number of stations or sources covered  in data base: 150
(HCS)  No. stations or sources  currently originating/contributing data:
    0
(NQF)  Number  of facilities  covered in  data  base (source monitoring):  (N
    /A)
(GEO)  Geographic coverage of data base: County/smaller  location Love
    Canal Rochester, New York
(LOC)  Pata elements identifying  location of station or  source include:
    Street address /State planar  coordinates
(CDE)  Pollutant identification data are: CAS  registry number
    Other coding scheme
(LIM)  Limitation/variation  in  data of  which user should be  aware: Data
    was still  being collected at  time  of survey   so that submitting
    office was not certain exactly which     pollutants  were Included
    in the data base.  All of the pollutants indicated were  analyzed by
    the laboratories participating in  the study,
(DPR)  Data collect./anal, procedures  conform to (3RD guidelines: ORD


                             407

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                             Accession No.   6202000112     (cont)

    Guidelines
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit is satisfactory,
(PRE)  Precision; Precision and accuracy estimates exist for all
    measurements
(EOT)  Editting: Edit procedures used but undocumented.
(CSV)  Data collected by: EPA lab Environmental Monitoring and Support
    Lab-RTP /Contractor lab GCAy Inc. a study
(A8Y)  Data analyzed by;  EPA lab Environmental Monitoring and Support
    Lab-RTF
    Contractor lab GCA, Inc. and several other participating
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Risk assessment
(AUT)  Authorization for  data collection: Statutory authorization  is P
    L 88-206 Section 103  as amended.
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base: Printouts on
    request
    Machine-readable ran  data
    On-line computer
(HUS)  Number of regular  users of data base: 10-20
(USR)  Current regular users of data base:  EPA headquarter offices
    Cancer Assessment Group, Risk Assessment Group, and the Exposure
    Assessment Group
    EPA laboratories
    Love Canal Citizens Groups
    Office of the President
(C8F)  Confidentiality of data and limits on access: Limits on access
    within EPA and outside agency for some   data
(DLC)  Primary physical location of data: NCC/UNIVAC
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: Commercial software System 2000
(CHG)  Direct charge for  non-EPA use: No outside use/access permitted
(UPDT)  Frequency of data base master file  up-date: Other As needed
(CMP)  Completion of form:
    Jon B. Clark
    OFC: EMSL/DMAD
    AD: RTP, RC
    PH: (919) 541-3999
(OF)  Date of form completion: 12-09-82
(NMAT)  Number of substances represented in data base: 781
(NCAS)  Number of CAS registry numbers in data base: 655
(MAT)  Substances represented in data base:
                                         0,0-diethyl-s-methyl ester of phos
    -0,0-dlethyl phosphoricacid,0-p-        1,1,1,2-tetrachloroethane
       nitrophenyl ester<311-45-5>          <630-20-6>
    0,Q-diethyl-0-(2-pyrazinyl)          l,l,l-trichloroethane<7l-55-6>
       phoshorothloO/0-diethyl-s-(2-     1/1/2,2,-tetrachloroethane
       ethylthio)ethyl)ester of             <79-34-5>
       phosphorodithioicacid             l/l,2-trichloroethane<79-00-5>
                                         l/l,2-trichloroethene<79-01-6>


                             408

-------
                         Accession No.   6202000112
                  (cont)
l,l-dichloroethane<75-34-3>
l,l-dichloroethylene<75-35-4>
l,l-diraethylhydrazine<57-14-7>
l,12-trichloroethene<79-01-6>
1,2,3, 4, 10,10-hexachloro-l,4,4a,5,
   6,8a-hexahydro-l, 4:5,8-endo,
   endo-dirae tha
1*2, 4,-trichlorobenzene 1,2,4,5-
   tetrachlorobenzene<95-94-3>
l,2-dibromo-3-chloropropane (dbcp)
   <96-12-8>
1, 2-dibroinoethane<106-93-4>
l,2-dichlorobenzene<95-50-l>
l,2-dichloroethane<107-06-2>
If2-dichloropropane<78-87-5>
l,2-dichloropropylene<563-54-2>
l,2-dlethyihydrazine<1615-80-l>
1,2-dimethyl bydrazine<540-73-8>
1,2-diphenylhydrazine<122-66-7>
l,2-propanediol<57-55-6>
1,2-trans-dichloroethylene
   <156-60-5>
1,3,4 trichlorobenzene<120-82-l>
1,3-dichlorobenzene<541-73-l>
l,3-dichloropropene<542-75-6>
1,3-pentadiene<504-60-9>
1,3-propane sultone<1120-71-4>
l,4-dichloro-2-butene<110-57-6>
l,4-dichlorobenzene<106-46-7>
l,4-dioxane<123-91-l>
1,4-naphthoquinone<130-15-4>
l-(o-chlorophenyl)thiourea
   <5344-82-l>
l-(p~chlorobenzoyl)-5-methoxy-2-
   methylindole-3-acetic acid
l-chloro-2,3-epoxypropane
   <106-89-8>
l-naphthyl-2-thiourea<86-88-4>
l-naphthylamine<134-32-7>
2, 2-dichloropr op ionic acid
   <75-99-0>
2,3,4,6-tetrachlorophenol<58-90-2>
2,4,5-t amines
2,4,5-t esters
2,4,5-t salts
2,4,5-tp acid esters
2, 4,5-trichlorophenol<95-95-4>
2,4,5-trlchlorophenoxyacetic acid
   (T)<93-76-5>
2, 4,5-trichlorophenoxypropionic
   acid (TP)<93-72-l>
2,4,6-trichlorophenol<88-06-2>
2/ 4,7,8- tetrachlorodibe nzo-p-
   dioxin (tcdd)
2,4-d acid<94-75-7>
2,4-d esters
2,4-dichlorophenol<120-83-2>
2,4-dichlorophenoxyacetic acid (2,
   4-d)<94-75-7>
2,4-dioethylphenol<105-67-9>
2,4-dinitrophenol<51-28-5>
2,4-dinitrotoluene<121-14-2>
2, 4-dithiobiuret<541-53-7>
2,6-dichlorophenol<87-65-0>
2/6-dinitrotoluene<606-20-2>
2-acetylaminof lourene
2-butanone peroxide<1338-23-4>
2-chl or oethyl vinyl ether<110-75-8>
2-chl or on aphtha lene<91-58-7>
2-chlorophenol<95-57-8>
2-cyclohexyl-4,6-dinitrophenol
   <131-89-5>
2-fluoroacetamlde (1081)<640-19-7>
2-methyl-2-(fflethylthio)propionalde
   hyde-o-(methylcarbonyl)oxi«e
   <80-62
   -6>
2-raethylaziridine<75-55-8>
2-methyllactonitrile<75-86-5>
2-naphthylaraine<91-59-8>
2-nitrophenol< 88-75-5>
2-nitropropane<79-46-9>
2-picol iue<10 9-06-8>
2-propyn-l-01<107-19-7>
2-sec butyl-4, 6-dinitrophenol
   <88-85-7>
3,3 '-dichlorobenzidine< 91-9 4-l>
3,3*-dimethoxybenzidine<119-90-4>
3,3--dimethyl-l(roethylthlo)-2-
   butanone-0-((raethylaroino>
   car bony Doxime
3,3 '-dime thylbenzidine<119-93-7>
3,4-benzofluoranthene<205-99-2>
3,4-dihydroxy-alpha-(raethylaBino)-
   methyl benzyl alcohol
3-chloropropionitrile<542-76-7>
3-ffle thy lcholanthrene< 56-4 9-5>
39196-18-4>
4/4*-ddd(p,p*tde)
4,4*-dde(p,p'-ddx)<72-55-9>
4,4*-ddt<50-29-3>
4,4*-aietbylene-bis-(2-chloroanilin
4,6-dinltro-o-cresol<534-52-l>
                         409

-------
                         Accession No.  6202000112
                  (cent)
4-Aniinopyrldine<504-24-5>
4-bromophenyl phenyl ether
   <101-55-3>
4-chloro-o-toluidine hydrochloride
   <3165-93-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
5-(aminoraethyl)-3-isoxazolol
   <2763-96-4>
5-nitro-o-toluidine<99-55-8>
6-andno-l,la,2,8,8a,r8b-he:xahydro-
   8-(hydroxymethyl)8-methoxy-5-
   methyl-caraba
lf 12-dimethylbenz{a)ant 7-
   cxabicycol(2.2.1)heptane-2,3-
   dicarboxylicacid<145-73-3>
acenaphthene<83-32-9>
acenaphthylene<208-96-8>
acetaldehyde<75-07-0>
acetic acid<64-19-7>
acetic anhydride<108-24-7>
acetone cyanohydrin<75-86-5>
acetone<67-64-l>
acetonitrile<75-05-8>
acetophenone<98-86-2>
acetyl bromide<506-96-7>
acetyl chloride<75-36-5>
acid mist
acidity
acrolein<107-02-8>
acrylaraide<79-06-l>
acrylic acid<79-10-7>
acrylonitrile<107-13-l>
adipic acid<124-04-9>
alachlor
aldrin<309-00-2>
alkalinity
ally! alcohol<107-18-6>
ally! chloride<107-05-l>
alpha,alpha-dimethylbenzylhydro-
   peroxide<80-15-9>
alpha,alpha-dimethylphenethylamine
   <122-09-8>
alpha-chlorotoluene<100-44-7>
aluminuni phosphide<20859-73-8>
alun?inura sulfate<10043-01-3>
aluroinura<7429-90-5>
amitraz (baam)<33089-61-l>
amitrole<61-32-5>
arafnonla< 76 64-41-7>
ammonium acetate<631-61-8>
ammonium benzoate<1863-63-4>
ammonium bicarbonate<1066-33-7>
ammonium bichromate<7789-09-5>
ammonium bifluoride<1341-49-7>
ammonium bisulf ite<10192-30-0>
ammonium carbafflate
ammonium carbonate<506-87-6>
ammonium chloride
ammonium chromate<7788-98-9>
ammonium citrate<7632-50-0>
ammonium f luoborate<13826-83-0>
ammonium f luoride<12125-01-8>
ammonium hydroxide<1336-21-6>
ammonium oxalate<1113-38-8>
ammonium picrate<131-74-8>
ammonium silicofluoride
   <16919-19-0>
ammonium sulf anate<7773-06-0>
ammonium sulfide<12135-76-l>
ammonium sulf ite<10196-04-0>
ammonium tartrate<3164-29-2>
ammonium thiocyanate<1762-95-4>
ammonium thiosulf ate<7783-18-8>
arayl acetate<628-63-7>
aniline<62-53-3>
anthracene<120-12-7>
antimony pentachloride<7647-18-9>
antimony potassium tartrate
antimony tribroraide<7789-61-9>
antimony trichloride<10025-91-9>
antimony trifluoride<7783-56-4>
antimony trioxide<1309-64-4>
antimony<7440-36-0>
aramite<140-57-8>
arsenic acid<1327-52-2>
arsenic disulf ide<1303-32-8>
arsenic pentoxide<1303-28-2>
arsenic trichloride<7784-34-l>
arsenic trioxide<1327-53-3>
arsenic trisulfide<1303-33-9>
arsenic<7440-38-2>
asbestos<1332-21-4>
atrazine<1912-24-9>
auramine<2465-27-2>
azaserine<115-02-6>
banvel-d<1918-00-9>
barium cyanide<542-62-l>
barium<7440-39-3>
benefin<1861-40-l>
benomyl<17804-35-2>
benz(c)acridine<225-51-4>
                         410

-------
                         Accession No.  6202000112
                  (cont)
benzac
benzal chloride<98-87-3>
benzene<71~43-2>
benzenesulfonyl chlorlde<98-09-9>
benzenethiol<108-98-5>
benzidine<92-87-5>
benzo(a)anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
ben zo(gjrh/i)perylene
benzo(k) fluoranthene<207-08-9>
benzole acid<65-85-0>
benzonitrile
benzotrichloride<98-07-7>
benzoyl cnloride<98-88-4>
benzyl chloride<100-44-7>
beryllium chloride<7787-47-5>
beryllium dust
beryllium fluoride<7787-49-7>
beryllium nltrate<13597-99-4>
berylHum<7440-41-7>
bhc Clindane)-ganuna<53-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
blphenyl<92-52-4>
bis(2-chloroethoxy)methane
bls(2-chloroethyl)ether
bis(2-chlorolsopropyl) ether
   <39638-32-9>
bls(2-ethylhexyl)phthalate
bls(chloromethyl)ether<542-88-l>
bisicuth compounds<7440-69-9>
boron compounds<7440-42-8>
broirdne<7726-95-6>
bromoacetone<598-31-2>
broH?obenzene
bromochlorobenzene<28906-38-9>
brorcodlchloromethane<75-27-4>
br onome thane <74- 83 -9>
brucine<357-57-3>
butachlor<23184-66-9>
butyl acetate<123-86-4>
butyl benzyl phthalate<85-68-7>
butylamine<109-73-9>
butyric acid<107-92-6>
cacodylic acid and salts<75-60-5>
cadmium acetate<543-90-8>
cadmium bromide<7789-42-6>
cadirium chloride
cadnjium<7440-43-9>
calcium arsenate<7778-44-l>
calcium arsenite<52740-16-6>
calcium carbide<75-20-7>
calcium chroraate<13765-19-0>
calcium cyanide<592-01-8>
calcium dodecylbenzenesulfonate
   <26264-06-2>
calcium hydroxide<1305-62-0>
calcium hypochlorite<7778-54-3>
calcium oxide<1305-78-8>
captan<133-06-2>
carbaryl<63-25-2>
carbofuran<1563-66-2>
carbon disulfide<75-15-0>
carbon monoxide<630-08-0>
carbon tetrachloride<56-23-5>
carbony1 £luoride<353-50-4>
chloral<75-87-6>
chlorambucil<305-03-3>
chloranil
chlordane<57-74-9>
chlorinated naphthalenes
chlorine<7782-50-S>
chloroacetaldehyde<107-20-0>
chlorobenzene<108-90-7>
chloroben2llate<510-15»«>
chlorodibromomethane<124-48-l>
chloroethane<75-00-3>
chloroethene<75-01-4>
chloroethyl vinyl ether<110-75-8>
chlorofluorocarbons
chloroform<67-66-3>
chloromethaT5e<74-87-3>
chloromethyl methyl ether
   <107-30-2>
chloroprene<126-99-8>
chlorosulfonic acid<7790-94-5>
chlorpyrifos<2921-88-2>
chromic acetate<1066-30-4>
chromic acid<7738-94-5>
chromic sulfate<10101-53-8>
chromium<7440-47-3>
chroraous chloride<10049-05-5>
chrysene<218-01-9>
cis-l/2-dichloroethylene<156-59-2>
coal tar<8007-45-2>
cobalt<7440-48-4>
cobaltous bromide<7789-43-7>
cobaltous formate<544-18-3>
cobaltous sulfamate
copper cyanide<544-92-3>
copper<7440-50-8>
                         411

-------
                         Accession No.  6202000112
                  (cont)
counraphos<56-72-4>
crecsote<8021-39-4>
cresol<1319-77-3>
cresylic acid<1319-77-3>
crotonaldehyde<4170-30-3>
cumene<98-82-8>
cupric acetate<142-71-2>
cupric acetoarsenlte<12002-03-8>
cupric chloride<7447-39-4>
cupric nitrate<3251-23-8>
cupric oxalate<8!4-91-5>
cupric sulfate araatoniated
   <10380-29-7>
cupric sulfate<7758-98-7>
cupric tartrate<815-82-7>
cyanazine<21725-46-2>
cyanide<57-12-5>
cyanogen bromide<506-63-3>
cyanogen chloride<506-77-4>
cyanogerK 460-19-5>
cyclohexane<110-82-7>
cyclohexanone<10 8-94-1>
cyclophosphamide<50-18-0>
dauromycin<20830-81-3>
ddd(tde)
ddt
deneton<8065-48-3>
di-isopropylfluorophosphate
   <55-91-4>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
di-n-propylnitrosaraine<621-64-7>
dialkyl ethers
dialkyl phosphates
diallate<2303-16-4>
diazinon<333-41-5>
dibenzo(a,h)anthracene<53-70-3>
dibenzofuran<132-64-9>
dibenzol(a/i)pyrene
dibroraochloroaiethane<124-48-l>
dibromomethaTie<74-95-3>
dibutyl phthalate<84-74-2>
dicamba<1918-00-9>
dichlobenil<1194-65-6>
dichlone<117-80-6>
dichlorobenzene<25321-22-6>
dichlorobromometJiane<75-27-4>
dichlorodifluororaethane<75-71-8>
dichloroiodoraethane<594-04-7>
dichloromethane<75-09-2>
dichlorophenylarsine<696-28-6>
dichloropropane<26638-19-7>
dichlcropropene-dichloropropane
   mixture
dichloropropene<26952-23-8>
dichlorvos (ddvp)<62-73-7>
dieldrin<60-57-l>
diepoxybutane<1464-53-5>
diethyl phthalate<84-66-2>
dlethylaaiine<109-89-7>
diethylarsine
diethylstilbestrol<56-53-l>
dihydrosafrole<94-58-6>
dimethoate<60-51-5>
dimethyl phthalate<131-ll-3>
dimethyl sulfate<77-78-l>
d iiu ethyl am ine< 124-40-3>
dimethyIcarbarooyl chloride
   <79-44-7>
dimethylnitrosawine<62-75-9>
dinitrobenzene<25154-54-5>
dinitrophenol
dinitrotoluene<25321-14-6>
dioxane<123-91-l>
dioxin<828-00-2>
diphenyl ether
diphenylhydrazine<38622-18-3>
dipropylamine<142-84-7>
diquat<2764-72-9>
dissolved oxygen
dissolved solids
disulfoton<298-04~4>
diuron<330-54-l>
dodecylbenzenesulfonic acid
   <27176-87-0>
ebdc's (ethyienebtsdithiocarbamate
   s)
edta<60-00-4>
endosulfan sulfate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulfan-beta<332!3-65-9>
endosulfan<115-29-7>
endrin aldehyde<7421-93-4>
endrin<72-20-8>-
epichlorohydrin<106-89-8>
epn (ethyl-p-nitrophenyl thlonoben
   zenephosonate)<2104-€4-5>
erbon<136-25-4>
ethion<563-12-2>
ethyl acetate<141-78-6>
ethyl acrylate<140-88-5>
ethyl chloride<75-00-3>
ethyl ether<60-29-7>
ethyl methacrylate<97-63-2>
                         412

-------
                         Accession No.  6202000112
                  (cont)
ethyl fliethanesulfonate<62-50-0>
ethyl parathion<56-38-2>
ethylbenzene
ethylcyanide<107-12-0>
ethylene bisdithiocarbaroate
ethylene dlbroraide (edb)<106-93-4>
athylene dichlorlde<107-06-2>
ethylene oxide<75-21-8>
ethylene thiourea<96-45-7>
ethylenedlaraine<107-15-3>
ethyleneimine<151-56-4>
fecsl collform
ferric ammonium citrate<1185-57-5>
ferric ammonium oxalate
   <14221-47-7>
ferric chloride<7705-08-0>
ferric cyanide
ferric fluoride<7783-50-8>
ferric nitrate<10421-48-4>
ferric sulfate<10028-22-5>
ferrous ammonium sulfate
   <10045-89-3>
ferrous chloride<77S8-94-3>
ferrous sulfate<7720-78-7>
fluoranthene<206-44-0>
fluorene<86-73-7>
fluorides
fluorine<7782-41-4>
flucroacetic acid/ sodium salt
fluorotrichloroai€thane<75-69-4>
f oriraldehy de< 50-00-0>
formic acid<64-18-6>
fumaric acid<110-17-8>
furan<110-00-9>
furfural<98-01-l>
glycidylaldehyde
gross alpha
guthion<86-50-0>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
hexachlorobutadiene<87-68-3>
hexechlorocyclohexane<58-89-9>
hexachlorocyclopenta
hexachloroethane<67-72-l>
hexachlorophene<70-30-4>
hexachloropropene<1888-71-7>
hexaethyi tetraphosphate<757-58-4>
hydrazine<302-01-2>
hydrocarbons
hydrochloric acid<7647-01-0>
hydrocyanic acid<74-90-8>
hydrofluoric acid<7664-39-3>
hydrogen cyanide<74-90-8>
hydrogen sulfide<7783-06-4>
hydroxydimethyl arsine oxide
   <75-60-5>
indeno 
iodomethane<74-88-4>
iron and compounds<7439-89-6>
iron dextran<9004-66-4>
iron<7439-89-6>
isobutyl alcohol<78-83-l>
isocyanic acid^ methyl ester
   <624-83-9>
isophorone<78-59-l>
isoprene<78-79-5>
isopropanolamine dodecylbenzene
   sulfonate<54590-52-2>
isosafrole<120-58-l>
kelthane<115-32-2>
kepone<143-50-0>
1asiocarpine<303-34-4>
lead acetate<301-04-2>
lead arsenate<3687-31-8>
lead chloride<7758-95-4>
lead fluoride<7783-46-2>
lead fluoroborate<13814-96-5>
lead iodide<10101-63-0>
lead nitrate<10099-74-8>
lead phosphate<7446-27-7>
lead stearate<1072-35-l>
lead subacetate<1335-32-6>
lead sulfate<7446-14-2>
lead sulfide<1314-87-0>
lead thiocyanate<592-87-0>
lead<7439-92-l>
lindane<58-89-9>
lithium and compounds<7439-93-2>
lithium chromate<14307-35-8>
ra-cresol<108-39-4>        *
ra-xylene<108-38-3>
raalathion<121-75-5>
raaleic acid<110-16-7>
maleic anhydride<108-31-6>
raaleic hydrazide<123-33-l>
malononitrile<109-77-3>
manganese<7439-96-5>
manmade beta
mate
raelphalan<148-82-3>
mercaptodiraethur<2032-65-7>
mercuric cyanide<592-04-l>
mercuric nitrate<10045-94-0>
                         413

-------
                         Accession No.  6202000112
                  (cont)
mercuric sulfate<7783-35-9>
mercuric thiocyanate<592-85-8>
mercurous nitrate<104l5-75-5>
mercury fulminate<628-86-4>
mercury<7439-97-6>
methanearsonates
raetbanethiol<74-93-l>
aiethanoi<67-56-l>
wethapyrilene<91-80-5>
me thomyKl 6752-77-5>
methoxychlor<72-43-5>
methyacrylonitrile<126-98-7>
methyl chlorocarbonate<79-22-l>
methyl chloroform<71-55~6>
methyl ethyl ketone (mek)<78-93-3>
methyl ethyl ketone peroxide
   <1338-23-4>
methyl hydrazine<60-34-4>
methyl iodide<74-88-4>
methyl isobutyl ketone<108-10-l>
methyl mercaptan<74-93-I>
methyl methacrylate<8C-62-6>
methyl parathion<298-00-0>
raethylthiouracll<56-04-2>
mevlnphos<7786-34-7>
mexacarbate<315-18-4>
microbiology coliform bacteria
rairex<238S-85-5>
molybdenum and compounds
   <7439-98-7>
monoethylamine<75-04-7>
monomethylamine<74-89-5>
raonuron<150-68-5>
n,n-bis(2-chloroethyl)-2-naphthyla
   B5ine<494-03-l>
n-alkanes clO-c30
n-butyl alcohol<71-36-3>
n-butyl phthalate<84-74-2>
n-methyl-n*-nitro-n-nitrosoguanidi
   ne<70-25-7>
n-nitroso-n-ethylurea<759-73-9>
n-nitroso~n-methylurea<684-93-5>
n-nitroso-n-me thylur ethane
   <615-53-2>
n-nitrosodi-n-butylamine<924-16-3>
n-nltrosodi-n-propylaaine
   <621-64-7>
n-nitrosodiethanolaraine<1116-54-7>
n-nitrosodiethy lamine<55-18-5>
n-r)itrosodimethylamine<62-75-9>
n-nitrosodiphenylamine<86-30-6>
n-nitrosomethylvinylamine
n-nltrosopiperidine<100-75-4>
n-nitrosopyrrolidine< 930-55-2>
n-phenylthlourea<103-85-5>
n-propylamine<107-10-8>
naled<300-76-5>
naphthalene<91-20-3>
naphthenic acid<1338-24-5>
nickel ammonium sulfate<7785-20-8>
nickel carbonyl<12612-55-4>
nickel chloride<7718-54-9>
nickel cyanide<557-19-7>
nickel hydroxide<12054-48-7>
nickel nitrate<13138-45-9>
nickel sul£ate<7786-81-4>
nickel<7440-02-0>
nicotine and salts<54-ll-5>
nitralin<4726-14-l>
nitrate<14797-55-8>
nitrates/nitrites
nitric acid<7697-37-2>
nitric oxide<10l02-43-9>
nitriloacetates
nitroben2ene<98-95-3>
nitrogen dioxide<10102«44-0>
nitrogen peroxide<10102-44-0>
nitrogen tetroxide<10544-72-6>
nitrogen<7727-37-9>
nitroglycerine<55-63-0>
nitrophenol<25154-5S-6>
nitrosomethylurea<684-93-5>
nitrosoiorpholine<59-89-2>
nitrotoluene
nonaphthalene
o-cresol<95-48-7>
o-roethoxyphenol<90-05-l>
o-toluidine hydrochloride
   <636~21-5>
o-xylene<95-47-6>
octamethyIpyrophosphoramide (OMPA)
   <152-16-9>
oil and grease
oleyl alcohol condensed with 2
   moles ethylene oxide
osmium tetroxide<20816-12-0>
oxygen demand
ozone<10028-15-6>
p-chloro-m-cresol<59-50-7>
p-chloroaniline<106-47-8>
p-cresol<106-44-5>
p-dichlorobenzene<106-46-7>
p-dimethylaninoazobenzene<60-11-7>
p-nitroaniline<100-01-6>
                         414

-------
                         Accession No.  6202000112
                  (cent)
p-xylene<106-42-3>
parcformaldehyde<30525-89-4>
paraldehyde<123-63-7>
paraquat<4685-14-7>
parsthion< 56-38- 2>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   < 12 67 2- 29 -6 >
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorobenzene<608-93-5>
pen tachloroethane< 76-0 l-7>
pentachloronitrobenzene (PCNB)
   <82-68-8>
pentachlorophenol<87-86-5>
perchloroethylene<127-18-4>
perthane<72-56-0>
Ph
pheriacetin<62-44-2>
phenanthrene<85-01-8>
phenarsazine chloride<578-94-9>
pherol<108-95-2>
pher.yl dichloroarsine<696-28-6>
phenylacetlc acid<103-82-2>
phenylmarcury acetate<62-38-4>
phorate 298-0202
phorate<298-02-2>
phosgene<75-44-5>
phosophorothioic acid/oyo-
   tJlmethyl ester/ o-ester with n/
   n-dlmethylbenzene
phosphine<7803-51-2>
phosphoric acld<7664-38-2>
phosphorus and compounds
   <7723-14-0>
phosphorus oxychloride<100 25-87-3>
phosphorus pentasulf ide<1314-80-3>
phosphorus sulf ide<1314-80-3>
phosphorus trichloride<7719-12-2>
phosphorus<7723-14-0>
photon emitters
phthalic acid<88-99-3>
phthalic anhydride<85-44-9>
piperonyl butoxide<51-03-6>
polybrominated biphenyls (PBBs)
polychlorinated biphenyls (PCBs)
potassium arsenate<7784-41-0>
potassiun arsenite<10124-50-2>
potassium bichroraate<7778-SO-9>
potassium chromate<7789-00-6>
potassium cyanide<151-50-8>
potassiun hydroxide<1310-58-3>
potassium permanganate<7722-64-7>
potassium silver cyanide<506-61~6>
pronamide<23950-58-5>
propachlor<1918-16-7>
propanil<109-98-8>
propargite<23!2-35-8>
propionlc acid<79-09-4>
propionic anhydride<123-62-6>
propionitrile<107-12-0>
proplyene oxide<75-56-9>
propoxur<114-26-l>
propylene oxide<75-56-9>
pyrene<129-00-0>
pyrethrin<121-29-9>
pyridine<110-86-l>
quinoline<91-22-5>
quinones
radium 226<13982-63-3>
radium 228<15262-20-1>
radon
reserpine<50-55-5>
resorcinoKlO 8-46-3 >
ronnel<299-84-3>
rotenone<83-79-4>
SfSfs-tributyl phosphorotrithioate
   <78-48-8>
saccharin<81-07-2>
safrole<94-59-7>
secondary amines
selenious acid<7783-00-8>
selenium oxide<12640-89-0>
selenium sulfide<7446-34-6>
selenium<7782-49-2>
selenourea<630-10-4>
silver cyanide<506-64-9>
silver nitrate<7761-88-8>
silver<7440-22-4>
silvex<93-72-l>
simazine<122-34-9>
sodium and compounds<7440-23-5>
sodium arsenate<763l-89-2>
sodium arsenite<7784-46-5>
sodium azide<26628-22-8>
                         415

-------
                         Accession No.  6202000112
                  (cont)
sodium bichromate<10588-01-9>
sodium bifluoride<1333-83-l>
sodium bisulfite<7631-90-5>
sodium chromate<7775-ll-3>
sodium cyanide<143-33-9>
sodium dodecylbenzenesulfonate
   <25155-30-0>
sodium fluoride<7681-49-4>
sodium fluoroacetate (1080)
   <62-74-8>
sodium hydrosulfide<16721-80-S>
sodium hydroxide<1310-73-2>
sodium hypochlorite<7681-52-9>
sodium methylate<124-41-4>
sodium r»itrite<7632-00-0>
sodium phosphate, dibasic
   <7558-79-4>
sodium phosphate, tribasic
   <7601-54-9>
sodium selenite<10102-18-8>
sodium<7440-23-5>
streptozotocin
strobane<8001-50-l>
strontium chromate<7789-06-2>
strontium sulfide<1314-96-l>
strychine<57-24-9>
strychnine<57-24-9>
styrene<100-42-5>
sulfates
sulfides
sulfonasnide
sulfur dioxide<7446-09-5>
sulfur monochloride<10025-67-9>
sulf uric acid<7664-93-9>
suspended solids
tde<72-54-8>
terpenes
tetrachloroethene<127-18-4>
tetrachloroethyl€ne<127-18-4>
tetrachloromethane<56-23-5>
tetraetiiyl dithlopyrophosphate
   <3689-24-5>
tetraethyl lead<78-00-2>
te.traethyl pyrophosphate<107-49-3>
tetrahydofuran<109-99-9>
tetranitromethane<509-14-8>
thallic ojcide<1314-32-5>
thallium acetate<563-68-8>
thallium carbonate<29809-42-5>
thallium chloride<7791-12-0>
thallium nitrate<10102-45-l>
•thallium selenite
thallium sulfate<7446-18-6>
thalliuio<7440-28-0>
thioacetamide<62-55-5>
thiophanate methyl<23564-05-8>
thioseraicarbazide<79-19-6>
thiourea<62-56-6>
thiuram<137-26-8>
titanium<7440-32-6>
toluene diisocyanate<26471-62-5>
toluene<108-88-3>
toluenediamine<25376-45-8>
total reduced sulphur
total suspended particulates
toxaphene<8001-35-2>
triallate<2303-17-5>
tribromonethane<75-25-2>
tributyl phosphorotrithioate
   <78-48-8>
trichlorfon<52-68-6>
trichloroethane<25323-89-l>
trichloroethene<79-01-6>
trichloroethylene<79-01-6>
trichlotofluoromethane<75-69-4>
trichlorome thane thiol<75-70-7>
trichlorophenol (TCP)<25167-82-2>
triethanolamine dodecylbenzenesulf
   onate<27323-41-7>
triethylamine<121-44-8>
trifluraline (tref lan)<1582-09-8>
trimethylanine<75-50-3>
trinltrobenzene<99-35-4>
tris( 2, 3-d ibromopropyl) phosphate
   <126-72-7>
trypan blue<72-57-l>
trysben<50-31-7>
turbidity
uracil mustard<66-75-l>
uraniu«<744Q-61-l>
uranyl acetate<541-09-3>
uranyl nitrate<10102-06-4>
urethane<51-79-6>
vanadic acid, ammonium salt
vanadium pentoxide<1314-62-l>
vanadium<7440-62-2>
vanadyl sulfate<27774-13-6>
vinyl acetate<108-05-4>
vinyl chloride<75-01-4>
vinylidene chloride<75-35-4>
xylene<1330-20-7>
xylenol<1300-71-6>
zinc acetate<557-34-6>
                         416

-------
                             Accession No.   6202000112     (cont)

    zinc ammonium chloride               zinc phosphide<1314-84-7>
    zinc borate<1332-07-6>               zinc silicofluoride<16871-71-9>
    zinc broraide<7699-45-8>              zinc sulfate<7733-02-0>
    zinc carbonate<3486-35-9>            zinc<7440-66-6>
    zinc chloride<7646-85-7>             zirconium nitrate<13746-89-9>
    zinc cyanide                         zirconiui potassium fluoride
    zinc fluoride<7783-49-5>                <16923-95-8>
    zinc formate<557-41-5>               zirconium sulfate<14644-61-2>
    zinc hydrosulfite<7779-86-4>         zirconiun tetrachloride
    zinc nitrate<7779-88-6>                 <10Q26-ll-6>
    zinc phenol sulfonate<127-82-2>
(CAS)  CAS registry numbers of substances included in data base: 311-45-
    5} 630-20-6; 71-55-6; 79-34-5;    79-00-5; 79-01-6; 75-34-3;
    75-35-4;  57-14-7;  79-01-6; 95-94-3;   96-12-8; 106-93-4; 95-50-1;
    107-06-2; 78-87-5; 563-54-2; 1615-80-1;   540-73-8; 122-66-7;
    57-55-6;  156-60-5; 120-82-1; 541-73-1;  542-75-6;       504-60-9;
    1120-71-4;  110-57-6; 106-46-7; 123-91-1; 130-15-4?     5344-82-1;
    106-89-8; 86-88-4; 134-32-7; 75-99-0; 58-90-2; 95-95-4;    93-76-5;
    93-72-1;  88-06-2;  94-75-7; 120-83-2; 94-75-7; 105-67-9;
    51-28-5;  121-14-2; 541-53-7; 87-65-0; 606-20-2; 1338-23-4;
    110-75-8;       91-58-7; 95-57-8; 131-89-5; 640-19-7; 80-62-6;
    75-55-8;  75-86-5;       91-59-8; 88-75-5; 79-46-9; 109-06-8;
    107-19-7; 88-85-7; 91-94-1?      119-90-4; 119-93-7; 205-99-2;
    542-76-7; 56-49-5; 72-55-9; 50-29-3;    101-14-4; 534-52-1;
    504-24-5; 101-55-3; 3165-93-3; 7005-72-3;    100-02-7; 2763-96-4;
    99-55-8;  145-73-3; 83-32-9; 208-96-8; 75-07-0;   64-19-7; 108-24-7;
    75-66-5;  67-64-1;  75-05-8; 98-86-2; 506-96-7;      75-36-5;
    107-02-8; 79-06-1; 79-10-7; 107-13-1? 124-04-9? 15972-60-8;
    309-00-2? 107-18-6? 107-05-1; 80-15-9;  122-09-8; 100-44-7?
    20859-73-8; 10043-01-3; 7429-90-5; 33089-61-1; 61-82-5; 7664-41-7;
    631-61-8? 1863-63-4? 1066-33-7? 7789-09-5; 1341-49-7? 10192-30-0?
    1111-78-0?  506-87-6? 12125-02-9? 7788-98-9? 7632-50-0? 13826-83-0;
    12125-01-8; 1336-21-6; 1113-38-8; 131-74-8? 16919-19-0; 7773-06-0;
    12135-76-1? 10196-04-0; 3164-29-2; 1762-95-4; 7783-18-8; 628-63-7?
    62-53-3;  120-12-7; 7647-18-9; 11071-15-1; 7789-61-9; 10025-91-9;
    7783-56-4;  1309-64-4; 7440-36-0? 140-57-8? 1327-52-2? 1303-32-8?
    1303-28-2?  7784-34-1? 1327-53-3? 1303-33-9? 7440-38-2? 1332-21-4?
    1912-24-9?  2465-27-2? 115-02-6? 1918-00-9? 542-62-1? 7440-39-3;
    1861-40-1?  17804-35-2? 225-51-4? 98-87-3? 71-43-2? 98-09-9?
    108-98-5?      92-87-5? 56-55-3; 50-32-8? 191-24-2? 207-08-9?
    65-85-0;  100-47-0?     98-07-7? 98-88-4? 100-44-7? 7787-47-5?
    7787-49-7;  13597-99-4?    7440-41-7? 58-89-9? 319-84-6? 319-85-7?
    319-86-8; 92-52-4? 111-91-1;       111-44-4; 39638-32-9; 117-81-7?
    542-86-1; 7440-69-9; 7440-42-8?       7726-95-6? 598-31-2?
    108-86-1? 28906-38-9? 75-27-4? 74-83-9?     357-57-3? 23184-66-9?
    123-86-4? 85-68-7? 109-73-9? 107-92-6?  75-60-5?      543-90-8?
    7789-42-6?  7440-43-9; 7778-44-1? 52740-16-6? 75-20-7?
    13765-19-0? 592-01-8? 26264-06-2? 1305-62-0? 7778-54-3? 1305-78-8?
    133-06-2; 63-25-2? 1563-66-2? 75-15-0?  630-08-0; 56-23-5? 353-50-4?
    75-87-6;  305-03-3? 118-75-2? 57-74-9? 7782-50-5? 107-20-0?
    108-90-7?       510-15-6? 124-48-1? 75-00-3? 75-01-4? 110-75-8?
    67-66-3?  74-87-3;      107-30-2; 126-99-8; 7790-94-5; 2921-88-2;


                             417

-------
                         Accession No.  6202000112     (cont)

1066-30-4; 7738-94-5;       10101-53-8; 7440-47-3; 10049-05-5;
218-01-9; 156-59-2; 8007-45-2;     7440-48-4; 7789-43-7; 544-18-3;
544-92-3; 7440-50-8; 56-72-4;    8021-39-4; 1319-77-3; 1319-77-3;
4170-30-3; 98-82-8; 142-71-2;   12002-03-8; 7447-39-4; 3251-23-8;
814-91-5; 10380-29-7; 7758-98-7;    815-82-7; 21725-46-2; 57-12-5;
506-68-3; 506-77-4; 460-19-5;     110-82-7; 108-94-1; 50-18-0;
20830-81-3; 8065-48-3; 55-91-4; 84-74-2;      117-84-0; 621-64-7;
2303-16-4; 333-41-5; 53-70-3; 132-64-9; 189-55-9;      124-48-1;
74-95-3; 84-74-2; 1918-00-9; 1194-65-6; 117-80-6;      25321-22-6;
75-27-4; 75-71-8; 594-04-7; 75-09-2; 696-28-6;       26638-19-7;
26952-23-8; 62-73-7; 60-57-1; 1464-53-5; 84-66-2;    109-89-7;
56-53-1; 94-58-6; 60-51-5; 131-11-3; 77-78-1; 124-40-3;
79-44-7; 62-75-9; 25154-54-5; 25321-14-6; 123-91-1; 828-00-2;
38622-18-3; 142-84-7; 2764-72-9; 298-04-4; 330-54-1; 27176-87-0;
60-00-4; 1031-07-8; 959-98-8; 33213-65-9; 115-29-7; 7421-93-4;
72-20-8; 106-89-8; 2104-64-5; 136-25-4; 563-12-2; 141-78-6;
140-88-5;      75-00-3; 60-29-7; 97-63-2; 62-50-0; 56-38-2;
100-41-4; 107-12-0;      106-93-4; 107-06-2; 75-21-8; 96-45-7;
107-15-3; 151-56-4; 1185-57-5;       14221-47-7; 7705-08-0;
7783-50-8; 10421-48-4; 10028-22-5; 10045-89-3;      7758-94-3;
7720-78-7; 206-44-0; 86-73-7; 7782-41-4; 75-69-4; 50-00-0;
64-18-6; 110-17-8; 110-00-9; 98-01-1; 86-50-0; 1024-57-3; 76-44-8;
118-74-1; 87-68-3; 58-89-9; 77-47-4; 67-72-1; 70-30-4; 1888-71-7;
757-58-4; 302-01-2; 7647-01-0; 74-90-8; 7664-39-3; 74-90-8;
7783-06-4; 75-60-5; 193-39-5; 74-88-4; 7439-89-6; 9004-66-4;
7439-89-6; 78-83-1; 624-83-9; 78-59-1; 78-79-5; 54590-52-2;
120-58-1;      115-32-2; 143-50-0; 303-34-4; 301-04-2; 3687-31-8;
7758-95-4;    7783-46-2; 13814-96-5; 10101-63-0; 10099-74-8;
7446-27-7; 1072-35-1;       1335-32-6; 7446-14-2; 1314-87-0;
592-87-0; 7439-92-1; 58-89-9;   7439-93-2; 14307-35-8; 108-39-4;
108-38-3; 121-75-5; 110-16-7;   108-31-6; 123-33-1; 109-77-3;
7439-96-5; 148-82-3; 2032-65-7;    592-04-1; 10045-94-0; 7783-35-9;
592-85-8; 10415-75-5; 628-86-4;      7439*97-6; 74-93-1; 67-56-1;
91-80-5; 16752-77-5; 72-43-5; 126-98-7;       79-22-1; 71-55-6;
78-93-3; 1338-23-4; 60-34-4; 74-88-4; 108-10-1;     74-93-1;
80-62-6; 298-00-0; 56-04-2; 7786-34-7; 315-18-4; 2385-85-5;
7439-98-7; 75-04-7; 74-89-5; 150-68-5; 494-03-1; 71-36-3; 84-74-2;
70-25-7; 759-73-9; 684-93-5; 615-53-2; 924-16-3; 621-64-7;
1116-54-7;      55-18-5; 62-75-9; 86-30-6; 100-75-4; 930-55-2;
103-85-5; 107-10-8;    300-76-5; 91-20-3; 1338-24-5; 7785-20-8;
12612-55-4; 7718-54-9;       557-19-7; 12054-48-7; 13138-45-9;
7786-81-4; 7440-02-0; 54-11-5;      4726-14-1; 14797-55-8;
7697-37-2; 10102-43-9; 98-95-3; 10102-44-0;    10102-44-0;
10544-72-6; 7727-37-9; 55-63-0; 25154-55-6; 684-93-5;     59-89-2;
95-48-7; 90-05-1; 636-21-5; 95-47-6; 152-16-9; 20816-12-0;
10028-15-6; 59-50-7; 106-47-8; 106-44-5; 106-46-7; 60-11-7;
100-01-6;      106-42-3; 30525-89-4; 123-63-7; 4685-14-7; 56-38-2;
12674-11-2;       11104-28-2; 11141-16-5; 53469-21-9; 12672-29-6;
11097-69-1;      11096-82-5; 608-93-5; 76-01-7; 82-68-8; 87-86-5;
127-18-4; 72-56-0;   62-44-2; 85-01-8; 578-94-9; 108-95-2;
696-28-6; 103-82-2; 62-38-4;    298-02-2; 75-44-5; 7803-51-2;
7664-38-2; 7723-14-0; 10025-87-3;       1314-80-3; 1314-80-3;


                         418

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                             Accession No.   6202000112     (cont)

    7719-12-2; 7723-14-0; 88-99-3; 85-44-9;    51-03-6; 7784-41-0;
    10124-50-2; 7778-50-9; 7789-00-6; 151-50-8;       1310-58-3;
    7722-64-7; 506-61-6; 23950-58-5; 1918-16-7; 109-98-8;
    2312-35-8; 79-09-4? 123-62-6; 107-12-0; 75-56-9; 114-26-1; 75-56-91
    129-OC-O; 121-29-9; 110-86-1; 91-22-5;  13982-63-3; 15262-20-1;
    10043-92-2; 50-55-5; 108-46-3; 299-84-3; 83-79-4; 78-48-8; 81-07-2;
    94-59-7; 7783-00-8; 12640-89-0; 7446-34-6; 7782-49-2; 630-10-4;
    506-64-9; 7761-88-8; 7440-22-4; 93-72-1; 122-34-9; 7440-23-5;
    7631-89-2; 7784-46-5; 26628-22-8; 10588-01-9; 1333-83-1; 7631-90-5;
    7775-11-3; 143-33-9; 25155-30-0; 7681-49-4; 62-74-8; 16721-80-5;
    1310-73-2; 7681-52-9; 124-41-4; 7632-00-0; 7558-79-4; 7601-54-9;
    10102-18-8; 7440-23-5; 8001-50-1; 7789-06-2; 1314-96-1; 57-24-9;
    57-24-9; 100-42-5; 7446-09-5; 10025-67-9; 7664-93-9; 72-54-8;
    127-18-4; 127-18-4; 56-23-5; 3689-24-5; 78-00-2; 107-49-3;
    109-99-9;       509-14-8; 1314-32-5; 563-68-8; 29809-42-5;
    7791-12-0; 10102-45-1;     7446-18-6; 7440-28-0; 62-55-5;
    23564-05-8; 79-19-6; 62-56-6;     137-26-8; 7440-32-6; 26471-62-5;
    108-88-3; 25376-45-8; 8001-35-2;     2303-17-5; 75-25-2; 78-48-8;
    52-68-6; 25323-89-1; 79-01-6; 79-01-6;    75-69-4; 75-70-7;
    25167-82-2; 27323-41-7; 121-44-8; 1582-09-8;   75-50-3; 99-35-4;
    126-72-7; 72-57-1; 50-31-7; 66-75-1; 7440-61-1;     541-09-3;
    10102-06-4; 51-79-6; 11115-67-6; 1314-62-1; 7440-62-2;
    27774-13-6; 108-05-4; 75-01-4; 75-35-4; 1330-20-7; 1300-71-6;
    557-34-6; 1332-07-6; 7699-45-8; 3486-35-9; 7646-85-7; 7783-49-5;
    557-41-5; 7779-86-4; 7779-88-6; 127-82-2; 1314-84-7; 16871-71-9;
    7733-02-0; 7440-66-6; 13746-89-9; 16923-95-8; 14644-61-2;
    10026-11-6
(CNM)  Contact riame(s): Broiuberg,S.    ;    Lawless,?.;    Haus«r,T.
(RQR)  Responsible Organization: Office of  Research and
    Development.office of Monitoring Systems and Quality Assurance
                             419

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                             Accession No.   6202000113

(OQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Fuel and Fuel Additives
(ACR)  Acronym of Data Base  or Model:  Rone
(MED)  Media/Subject of Data Base or  Model:  Other fuel  and  additive
    registration
(ABS)  Abstract/Overview of  Data Base or Model:  Storage of  fuel  and
    fuel additive data from   private  firms  manufacturing such
    substances.  The data base is highly confidential.
(CTC)  CONTACTS: Subject matter   Harold Sauls  (919)541-3123;
    Computer-related  Sone;  EPA Office Gardner Evans (919)541-3887
(DTP)  Type of data collection or monitoring:  Combination/Other  data
    submitted by firms
(STA)  Data Base status: Operational/Ongoing
(NPP)  Non-pollutant parameters included in the  data base:  Chemical
    data /Compliance data Manufacturer ;Use ;fuel composition  ;  fuel
    additive composition
CDS)  Time period covered by data base: 06-01-75 TO 09-30-80
(TRM)  Termination of data collections Not  anticipated
(FRQ)  Frequency of data collection or sampling: as needed
(NOB)  Number of observations in data base:  own.(Estimated)
(NET)  Estimated annual increase of observations in data base:  (unknown.
(INF)  Data base includes: fuel and additive information
(NTS)  Total number of stations or sources  covered in data  base: (N/A.)
(NCS)  fco. stations or sources currently originating/contributing data:
    (H/A.)
(NQF)  Number of facilities  covered in data base (source monitoring): (N
    /A.)
(GEO)  Geographic coverage of data base: National
(CDS)  Pollutant identification data  are: Oncoded
(LIM)  Limitation/variation  in data of which user should be aware: None
(ADD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision  and accuracy estimates are  not  available.
(EOT)  Emitting: No known edit procedures exist*
(C8Y)  Data collected by: EPA lab Environmental  Monitoring  Systems
    Lab-Research  Triangle Park
(ABY)  Data analyzed by: no  analysis  of data to  date.
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Compliance or enforcement
(AUT)  Authorization for data collection: Statutory authorization is  P
    L 91-604, Section 211 (Clean Air  Act as   amended in 1970)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    158-R-0058
(REP)  Form of available reports and  outputs of  data base:  Manual
    responses to direct questions concerning data base
(NUS)  Dumber of regular users of data base: 10-20
(USfi)  Current regular users of data  base:  EPA headquarter  offices
    Office of Research and Development
    EPA laboratories   CONFIDENTIAL:  Limits on access within EPA and
    outside agency for all data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Original form  (hardcopy, readings)
(DAC)  Type of data access:  Manually  ;automated  access  system  under


                             420

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Accession No.  6202000113
                                                           (cont)
    development
(CHG)  Direct charge for non-EPA use:  no outside use/access permitted
(UPDT)  Frequency of data base siaster file up-date:  Other as needed
(CMP)  Completion of form:
    Jon B.  Clark
    OFC: EPA/(ORD)/(QMTS)/(EHSL-RfP)/{DMAD)/(DMD)/
    AD: Research Triangle Park, North Carolina
    PHI C919)541-3999
(DP)  Date  of form completion: 12-09-82
(CNM)  Contact name(s): Sauls/H.  ;    Reed/S.
(ROR)  Responsible Organization: Office of Research and
    Development. Office of Monitoring Systems and Quality Assurance
                             421

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                             Accession No.   6202000114

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Haaie of Data Base of  Model:  Ambient  Quality Assurance Data Base
(ACS)  Acronym of Data Base  or Model:  QAFILE
(MED)  Media/Subject of Data Base or Model:  Hit
(ARS)  Abstract/Overview of  Data Base or Model: The Ambient Quality
    Assurance Data Base consists of    known/  blank/ and spiked samples
    sent to participating laboratories.  The results from the
    laboratories' analyses  are returned and in turn analyzed to
    determine how well the laboratories performed analyses of different
    air pollutants.
(CTC)  CONTACTS:  Subject natter   Jack Puzack  (919) 541-2220;
    Computer-related Terry Risher (919)541-2292; EPA Office Jack
    Puzack (919)541-2220
(DTP)  Type of data collection or monitoring:  Combination/Other samples
    sent to test  Laboratories* analytical   abilities.
(STA)  Data Base  status: Operational/ongoing
(GRP)  Groups of  substances  represented in  Data Base: 7 criteria NAAQS
(NPP)  Non-pollutant parameters included in the data base: Chemical
    data ^Concentration measures ;Flow rates ;Site description ;
    Temperature ;Test/analysis method ;Volume/mass measures
(DS)  Time period covered by data base: 01-01-76 TO 09-30-80
(T.RM)  Termination of data collection; Not  anticipated
(FRQ)  Frequency  of data collection or sampling: monthly
(NOB)  Kumber of  observations in data base:  89000.(Estimated)
(NED  Estimated  annual increase of observations in data base: 20000.
(INF)  Data base  includes: Raw data/observations
(ITS)  total number of stations or  sources  covered in data base: 2000.
(KCS)  J?o. stations or sources currently originating/contributing data:
    2000.
(NOF)  Number of  facilities  covered In data base (source monitoring):  (N
    /A.)
(GEO)  Geographic coverage of data base: International
(CDE)  pollutant  identification data are: Other coding scheme
(LIM)  Limitation/variation  in data of which user should be aware: None
(DPR)  Data collect./anal* procedures conform to QRD guidelines: Analysi
    s method documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit  is satisfactory*
(PRE)  Precisions Precision  and accuracy estimates exist but are not
    included in data base.
(EOT)  Fditting:  Edit procedures used but undocumented.
(CBY)  Data collected by: Local agency many participating local
    agencies across the  country. ;  State  agency every state
    government /Regional office all Regional Offices ;     EPA lab
    Environmental Monitoring Systems  Lab-Research  Triangle Park/ NC
(ABY)  Data analyzed by: Regional office all Regional Offices
    EPA lab Environmental Monitoring Systems Lab-Research Triangle
    Park, NC
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Technology development
(PR2)  Secondary  purpose of  data collection: Program evaluation
(AUT)  Authorization for data collection: Statutory authorization is P


                             422

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                             Accession No.   6202000114     (cent)

    L 86-206 as amended, Section 110 (Clean Air    Act-CAA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Printouts on
    request
    Machine-readable raw data
    On-line computer
(NUS)  dumber of regular users of data base: 50-100
(USR)  Current regular users of data base:  EPA regional offices
    EPA laboratories
    States
(CNF)  confidentiality of data and limits on access: Limits on access
    within SPA and outside agency for some   data*
(DLC)  Primary physical location of datas NCC/ONIVAC
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: Commercial software System 2000
(CKG)  Direct charge for non-EPA use: No outside use/access permitted
(UPDT)  Frequency of data base master file  up-date: Other as needed
(CMP)  Completion of form:
    Jon 8. Clark
    OFC: EPA/(ORD)/(QMTS)/(EMSL-RTP)/(DMAD)/
    AD: Research Triangle Park/ North Carolina
    PH: (919) 541-3999
(DF)  Date of form completion: 12-09-82
(NMAT)  Number of substances represented in data base: 7
(SJCAS)  Number of CAS registry numbers in data base: 5
(MAT)  Substances represented in data base:
    carbon monoxide<63Q-08-0>            ozone<10028-15-6>
    hydrocarbons                         sulfur dioxide<7446-09-5>
    lead<7439-92-l>                      total suspended particulates
    nitrogen dioxide<10102-44-0>
(CAS)  CAS registry numbers of substances included in data base: 630-08-
    0; 7439-92-1; 10102-44-0; 10028rl5-6;       7446-09-5
(CMM)  Contact narae(s): Puzaclc,J. ;    Fincher,,B.;    Puzack,J.
(RQR)  Responsible Organization: Office of  Research and
    Development.Office of Monitoring Systems and Quality Assurance
                             423

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                             Accession No.   6202000115

     Wind direction ;Wind velocity
    ^Conductivity
(DS)  Time period covered by data base: 01-01-70 to 06-30-82
(TRM)  Termination of data collection: Not anticipated
(FRQ)  Frequency  of data collection or sampling: weekly ;monthly  jas
    needed
(KOB)  Number of  observations in data base:  100000,(Estimated)
(NEI)  Estimated  annual increase of observations in data base: 100000.
(NTS)  Total number of stations or  sources covered in data base:  400.
(NCS)  No. stations or sources currently originating/contributing data:
    400.
(NOF)  Number of  facilities covered in data  base (source monitoring):  (N
    /A.)
(GSO)  Geographic coverage of data  base: International
(LOG)  Data elements identifying location of station or source include:
    State ;County >City yStreet address ^Coordinates Planar  system  ;
    Project identifier
(CDE)  Pollutant  identification data are: Saroad parameter
(LIM)  Limitation/variation in data of which user should be  aware:  None
(DPR)  Data collect./anal, procedures conform to ORD guidelines:  ORD
    Guidelines
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit; Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but are  not
    included in data base
(EOT)  Fditting:  Edit procedures used and documented.
(CBY)  Data collected by: EPA lab Environmental  Monitoring Systems
    Lab-RTP ^Foreign governmental agencies   Private institutions  in the
    United States
(ABY)  Data analyzed by;  Foreign governmental agencies
    Private institutions in the United States
(IDL)  Laboratory identification: NO


                             424

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                             Accession So.   6202000115     (cont)

(PRl)  Primary purpose of data collection:  Anticipatory/research
(AUT)  Authorization for data collection: Statutory authorization  is P
    L 88-206 Section HID (The Clean Air Act of    1963 as amended)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    158-R-Q012
(REP)  Form of available reports and outputs of data base: Publications
    World Meteorology Organization Turbidity and   Precipitation Data
    Printouts on request
    Machine-readable raw data
    On-line computer
(NUS)  Number of regular users of data base: 20-30
(USR)  Current regular users of data base:  EPA headquarter offices
    Office of Air Quality, Planning and Standards
    EPA regional offices
    Other federal agencies
    States
    Foreign governmental agencies
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: NCC/ONIVAC
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software Locally developed COBOL
    programs ;EPA hardware Univac 1100
(CHG)  Direct charge for non-EPA use: No outside use/access permitted
(UPDT)  Frequency of data base master file  up-date: Quarterly
(CMP)  Completion of form:
    Jon B. Clark
    OFC: Environmental Monitoring Systems Lab-RTF
    AD: RTP, NC 27711
    PK: (919) 541-3999
(DF)  Date of form completion: 12-09-82
(NMAT)  Number of substances represented in data base: 15
(UCAS)  Number of CAS registry numbers in data base: 6
(MAT)  Substances represented in data base:
    acid mist                            phosphorus pentasulfide<1314-80-3
    acidity                              phosphorus sulfide<1314-80-3>
    alkalinity                           phosphorus trichloride<7719-12-2>
    cadirium<7440-43-9>                   sodium and compounds<7440-23-5>
    fluorides                            sulfates
    leacX7439-92-l>                      sulfides
    nitrates/nitrites                    total reduced sulphur
    Ph
(CAS)  CAS registry numbers of substances included in data base: 7440-43
    -9; 7439-92-1; 1314-80-3; 1314-80-3;   7719-12-2; 7440-23-5
(CNM)  Contact name(s): Evans/G,  ;    Evans,6.  ;    Burmann/F.
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Monitoring Systems and Quality Assurance
                             425

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                             Accession  No.   6202000116

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Community Health Air  Monitoring
    Program
(ACR)  Acronym of Data Base  or Model:  CHAMP
(MED)  Kedia/Subject of Data Base or Model:  Air
(ABS)  Abstract/Overview of  Data Base  or Model:  The data base  contains
    five minute values and     hourly  averages with peak five  minute
    values for sixteen    parameters.   The  data  was collected  to
    support    epidemiological studies  in approximately  21  cities.
(CfC)  CONTACTS:  subject matter   Jose  Sune  (919)  541-3127 }
    Computer-related  Oebra  Pizer
(DTP)  Type of data collection or monitoring: Combination/Other  ambient
    and some source
(STA)  Data Base  status:  Discontinued
(GRP)  Groups of  substances  represented in  Data  Base: 7  criteria  NAAQS
(NPP)  Ron-pollutant parameters included In the  data base:  Collection
    method ;Concentration measures fFlow rates ;Location ;  Sampling
    date ;Site description ;Temperature ;Hind direction  ;   Wind
    velocity ;deu point ;barometeric pressure
(DS)  Time period covered by data base: 01-01-74 TO 12-30-79
(TRM)  Termination of data collection:  Occurred  12/30/79
(FRQ)  Frequency  of data collection or  sampling: less than  hourly every
    five minutes
(NOB)  Number of  observations in data  base:  2500000.(Estimated)
(MED  Estimated  annual increase of observations In data base:  (N/A.)
(INF)  Data base  includes: Ran data/observations jSummary aggregate
    observations
(NTS)  Total number of stations or sources  covered  in data  base:  21.
(NCS)  Ro. stations or sources currently originating/contributing data:
    0.
(NOF)  Number of  facilities  covered in data base (source monitoring): 21
    •
(GKO)  Geographic coverage of data base: Geographic region  California,
    Utah, Missouri (St. Louis)
(LOG)  Data elements identifying location of station or  source include:
    State ;county jCity ;Street address ^Coordinates UTM
(FAC)  Data elements identifying facility include:  N/A
(CDS)  Pollutant  identification data are: Other  coding scheme
(LIM)  Limitation/variation in data of which user should be aware:  None
(AND  Lab analysis based on CPA-approved or accepted methods? NO
(PRE)  Precision: Precision and accuracy estimates are not  available
    Edit data manually edited only.
(CBY)  Data collected by: Contractor Rockwell International
(ABY)  Data analyzed by: Contractor Rockwell International
(IDL)  Laboratory identification: NO
(AUT)  Authorization for data collection: No statutory requirement:
    Data collection requirement is    to support Agency  research  and
    development program.
(OMB)  Data collected/submitted using  OMB-approved EPA reporting  forms:
    QQ
(SEP)  Form of available reports and outputs of  data base:  Publications
    several published by Health Effects Research   Laboratory-Research


                             426

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                             Accession No.   6202000116     (cont)

    Triangle Park,  NC (HERL-RTP)
(NUS)  Number of regular users of data base:  2 offices
(USR)  Current regular users of data base:  EPA laboratories
(CNF)  Confidentiality of data and limits on access: Limits on access
    within EPA and  outside agency for some   data
(DLC)  Primary physical location of data: EPA lab ;NCC/UNIVAC
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: EPA software SAROAD (Storage and Retrieval
    of Aeroraetrlc Data) ;  EPA hardware UNIVAC
(CHG)  Direct charge for non-EPA use: no outside use/access permitted
(UPDT)  Frequency of data base master file  up-date:  Other system has
    all data stored
(CMP)  Completion of form:
    Jon Clark
    OFC: EPA/(ORD)/(OMTS)/(EMSL-RTP)
    AD: Research Triangle Park, HC 27711
    PH: (919) 541-3999
(DF)  Date of form  completion: 12-09-82
(NMftT)  Number of substances represented in data base: 11
(NCAS)  Number of CAS registry numbers In data base: 6
(MAT)  Substances represented in data base:
    carbon monoxide<630-08-0>            nitrogen oxides
    hydrocarbons                         ozone
    methane                              sulfate
    nitrate<14797-55-8>                  sulfur dioxide<7446-09-5>
    nitric oxide<10102-43-9>             total suspended particulates
    nitrogen dioxide<10102-44-0>
(CAS)  CAS registry numbers of substances included in data base: 630-08-
    0; 14797-55-8;  10102-43-9; 10102-44-0;       10028-15-6; 7446-09-5
(CNM)  Contact name(s): Sune^J.   /    Pizer/0.  ;    Sune/J.
(ROR)  Responsible  Organization:  Office of  Research and
    Development.Office of Monitoring Systems and Quality Assurance
                             427

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                             Accession No.   6203000101

(DQ)  Date of Questionaire: 12-02-82
(MAM)  Name of Data Base of Model:  BIO-STDRET Master Species List
(JLCR)  Acronym of Data Base or Model: None
(MED)  Media/Subject of Data Base or Model:  Surface Mater fresh and
    marine waters
(ABS)  Abstract/Overview of Data Base or Model: The data base consists
    of s coded list  of 12,000 species of fresh water and marine
    organisms.
(CTC)  CONTACTS: Subject matter   Cornelius  I.  Weber  (513)684-7337
    ;     Computer-related  C
(DTP)  Type of data collection or monitoring: Ambient data
    collection/biological effects of non-point and  point source
(STA)  Data Base status: Operational/ongoing
(NPP)  Non-pollutant parameters included in  the data base: Biological
    data
(DS)  Time period covered by data base: 01-01-76 TO 09-30-81
(TRM>  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling; as needed
(NOB)  Number of observations in data base:  12,000.(Actual)
(NEI)  Estimated annual increase of observations in data base: (not
    applicable.)
(INF)  Data base includes: taxonoraic nomenclature
(NTS)  Total number of stations or sources covered In data base:  (N/A.)
(NCS)  No. stations or sources currently originating/contributing data:
    (N/A.)
(NOF)  Number of facilities covered in data  base (source monitoring); (N
    /A.)
(6EO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source includes
    N/A
(FAC)  Data elements identifying facility include: If/A
(LIM)  Limitation/variation in data of which user should be aware:  None
(EOT)  Editting: Edit procedures used and documented.
(CBY)  Data collected by: EPA lab Environmental Monitoring and Support
    Laboratory-Cincinnati
(ABY)  Data analyzed by: EPA lab Environmental Monitoring and Support
    Laboratory-Cincinnati
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection: Trend assessment
(PR2)  Secondary purpose of data collection: Program evaluation
(AOT)  Authorization for data collection: Statutory authorization is P
    L 92-500, Section 106e (Clean Hater Act-CWA)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QG
(REP)  Form of available reports and outputs of data base: Nachine-reada
    ble raw data
    On-line computer
    magnetic tapes available
(NUS)  Number of regular users of data base: 5
(USR)  Current regular users of data base: EPA headquarter offices
    Office of Water and Haste Management
    EPA laboratories


                             428

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                             Accession No.   6203000101
(cont)
(CNF)  Confidentiality of data and Units on access:  No limits  on
    access to data;access through BIOSTQRET
(DLC)  Primary physical location of data: NCC/IBM
(DST)  Form of data storage:  Magnetic disc
(DAC)  Type of data access: EPA software BIO-STORET  MIDS:6203000101
    ;EPA hardware IBM 370/168
(CHG)  Direct charge for non-EPA use: no charge
(UPDT)  Frequency of data base master file up-date: Monthly
(RSS)  Related EPA automated  systems which use data base:  BIO-STORET:
    Biological data   storage and retrieval systems.
(RDBEPA)  Related EPA data bases used in conjunction with  this  data base
    STORET: physical and chemical Hater quality data management system*
(CMP)  Completion of form:
    Cornelius I.  Weber
    OFC: EPA/(ORD)/(OMSQA)/(EMSL-CIU)
    AD: 26 W. St. Glair Cincinnati, Ohio
    PH: (513)684-7337
(DF)  Date of form completion: 02-01-83
(CNM)  Contact narae(s): »eber,C.I.;    Heber,C.I.;     Weber,C.I.
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Monitoring Systems and Quality Assurance
                             429

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                             Accession Mo.  6203000103

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model: Biological Data Management System
(ACR)  Acronym of Data Base or Models 8IOSTORET
(MED)  Media/Subject of Data Base or Model: Surface water fresh and
    marine water
(ABS)  Jlbstract/Qverviaw of Data Base or Model: Data base contains
    information on species    composition* abundance and condition of
    aquatic   organisms collected in field and laboratory  studies.
    Pollutant parameters not applicable to  this data base.
(CTC)  CONTACTS: Subject natter   Cornelius I. Weber  (513)684-7337
    }     Computer-related  C
(DTP)  Type of data collection or monitoring: Combination/Other
    ambient, non-point and point  source aata collection//
    industrial effluents
(STA)  Data Base status: Operational/ongoing
(NPP)  Non-pollutant parameters included in the data bases Biological
    data jElevation jFloa rates ^Location ^Physical data ; Political
    subdivisions ^Precipitation ^Sampling date >Site description j
    Temperature jfest/analysis method >&ind direction jfeind velocity ;
    Phytoplankton ^Zooplankton jPeriphyton jMacrophyton jAquatic needs
    ;  Macroinvertebrates jFish jCounts ;Biomass ^Species composition ;
    Toxic substances in tissue /Histopathology jEffluent toxicology
(DS)  Time period covered by data base: 01-01-77 TO 09-30-81
(TRM)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: weekly
(NOB)  dumber of observations in data bases 514/000.(Actual)
(INF)  Data base includes: Raw data/observations .?Summary aggregate
    observations /Referenee data/citations
(NTS)  Total number of stations or sources covered in data base: 1195
.(NCS.)  Ko. stations or sources currently originating/contributing data:
    1195.
(NOF)  dumber of facilities covered in data base (source monitoring): (N
    /A,)
(GEQ)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or source include:
    State ;County ^Congressional district
(FAC)  Data elements identifying facility includes SPDES permit numbers
(CDE)  Pollutant identification data are: ST08ST codes
(LlH)  Limitation/variation in data of ahich user should be aware: BIOST
    ORET codes are used in the data    base.
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Samplin
    g plan documented ^Collection method documented ^Analysis method
    document QA procedures documented

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                             Accession No.   6203000103      (cont)

    Regional office all regions
    EPA lab all labs
    EPA headquarters Office of Water Programs
(IDL)  Laboratory identification:  YES
(AOT)  Authorization for data collection:  Statutory authorization  is  P
    L 95-217,  Sections 104 and 106 (Clean  Hater    Act-CHA)
COMB)  Data collected/submitted using OMS-approved EPA  reporting forms:
    QQ
(REP)  form of available reports and outputs of data base:  Publications
    BIOSTCRFT  Design Specifications
(KUS)  Humber  of regular users of  data base: 20
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of  Water Programs
    EPA regional offices
    Other federal agencies
    States
(CNF)  Confidentiality of data and limits  on access: No limits on
    access to  data
(DLC)  Primary physical location of data:  NCC/IBM
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access; EPA software BIQSTORE1  HIDS:62Q3030902
    ;EPA hardware IBM 370/168
(CHG)  Direct  charge for non-EPA use: no
(OPDT)  Frequency of data base master file up-date: Meekly
(RSS)  Related EPA automated systems which use data base: STORET
(RD8EPA)  Related EPA data bases used in conjunction with this data base
    STDRET
(CMP)  Completion of form:
    Cornelius  I. Weber
    OFC: EPA/(GRD)/
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                             Accession No.   6203000104

(DQ)  Dete of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model:  Method Validation Studies  of
    Priority Pollutants
(ACR)  Acronym of Data Base or  Model:  None
(MED)  Kedia/Subject of Data ease or Model:  Drinking Hater ;Effluents
    33 different industrial effluents >     Surface Hater
    Rivers/streams Bother Distilled water
(ABS)  Abstract/Overview of Data Base or Model:  Studies are conducted
    on FPA analytical methods   for 121 priority pollutants in
    water/wastewater.  Twenty    participating  laboratories analyze
    each priority pollutant  in three relevant  industrial  effluents,
    drirking water,     ambient water, and distilled water*  Data  are
    used to  develop precision  and  accuracy  statements, and other
    statistics for the promulgated  EPA analytical method.
(CTC)  CONTACTS: Subject matter   Ray Hesselman-Bob Graves (513)
    684-7325  ;     Computer-relat
(DTP)  Type of data collection  or monitoring:  Corebination/Qther
    Industrial plants, drinking water plants
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances represented in Data Base: 129  307 CWA,
    Total organic halides, PCB's in oil,  metals, Chlorine Dioxide
(NPP)  Jion-pollutant parameters included in  the data base: Concentration
    measures ;Site description
CDS.)  Time period covered by data base: 09-01-78 to 09-29-83
(TRM)  Termination of data collection: Anticipated 09/29/83
(FRQ)  Frequency of data collection or sampling: one time  only
(NOB)  Kumber of observations in data base:  225000.(Estimated)
ONEI)  Estimated annual increase of observations in data base:  (108,000.
(INF)  Data base includes: Raw  data/observations ;Summary  aggregate
    observations
(NTS)  Total number of stations or  sources covered in data base:  275.
(NCS)  Mo. stations or sources  currently originating/contributing  data:
    275.
(NOF)  lumber of facilities covered in data  base (source monitoring): 55
    *
(GEO)  Geographic coverage of data  base: National
(FAC)  Data elements identifying facility include: SIC  code
    ^Description of effluents
(CDS)  Pollutant identification data are: Oncoded
(LIM)  Limitation/variation in  data of which user should be aware: A
    one-time collection of data to  establish   accuracy and precision
    for EPA methods.
(DPR)  Data collect./anal, procedures conform to CRD guidelines:  Anaiysi
    s method documented
(ANL)  Lab analysis based on EPA-approved or accepted methods?  YES
(PRE)  Precision: Precision and accuracy estimates exist for  all
    measurements
(EDT)  Editting: Edit procedures used and documented.
(CBY)  Data collected by: Contractor IT Envirosclence,
    Battelle-Colurobus,     Monsanto Research, Southwest Research,
    tfersar Inc.,    ERCO, Inc., J.M. Montgromery & Associates,  Radian,
    Inc.


                             432

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                             Accession No.   6203000104     (cont)

(ABY)  Data analyzed by:  EPA lab Environmental Monitoring Systems
    Laboratory-Cincinnati
    Contractor IT Enviroscience/ Battelie-Columbus, Monsanto
    Research/ Southwest Research/ Versar, Inc., J.M. Montgromery 4
    Associates,  Radian,  Inc.,
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Validation of EPA methodology
(AUT)  Authorization for  data collection: Statutory authorization  is P
    L 92-500 Section 304(c)    {The Clean Air Act as amended-CAA),
    Safe Water Drinking Act, Toxic Substance Control Act,  Resource
    Conservation and Recovery Act.
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base: Publications
    national Technical Information Service number not   yet assigned
(NUS)  Number of regular  users of data base: 5000
(USR)  Current regular users of data base:  EPA headquarter offices
    Effluent Guidelines Division,   Office of Water and Waste
    Management,
    Office of Drinking Water,#    Office of Toxic Substance,#   Office
    of Solid Kaste#   EPA regional offices
    EPA laboratories
    Other federal agencies
    States
    Private organizations
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: National Technical
    information Service

       6>                                l,2-dichloropropane<78-87-5>
    1,1,2,2,-tetrachloroethane           1,2-trans-dichloroethylene
       <79-34-5>                            <156-60-5>
    l,l,2-trichloroethane<79-00-5>       l,3-dichlorobenzene<541-73-l>
    1,l-dichloroethane<75-34-3>          l,3-dichloropropylene<542-75-6>
    l,l-dichloroethylene<75-35-4>        l,4-dichlorobenzene<106-46-7>
    l,2,4,-trichlorobenzene<120-82-l>    2,4,6-trichlorophenol<88-06-2>
    1,2-dlchlorobenzene<95-50-l>


                             433

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                         Accession No.  6203000104
                  (cont)
It 4,7,8- tetr achlorodibenzo-p-
   dioxin (tcdd)
2f 4-dichlorophenol<120-83-2>
2e 4-dimethylphenoI<105-67-9>
2,4-dinitrophenol<51-2B-5>
2f 4-dinitrotoluene<121-14-2>
2, 6-dinitrotoluene<606-20-2>
2-chloronaphthalene<91-S8-7>
2-chlorophenol<95-57-8>
2-nitrophenol<88-75-5>
3.,3*-dichlorobenzidine<91-94-l>
3,4-benzofluoranthene<205-99-2>
4,4"-ddd(p,p*tde)
4, 4 *-dde(p,p '-ddx)<72-55-9>
4,4'-ddt<50-29-3>
4,6-dinitro-o-cresol<534-52-l>
4-broroophenyl phenyl ether
   <101-55-3>
4-cHorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
acenaphthene<83-32-9>
acenaphthylene<208-96-8>
acrolein<107-02-8>
acrylonitrile<107-13-l>
aldrin< 309-0 0-2>
anthracene<120-12-7>
an timony<7 440-36-0 >
arsenic<7440-38-2>
benzene<71-43-2>
benz!dine<92-87-5>
ben20( a) anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
benzo(g,h,i)perylene<191-24-2>
ben20(lc)fluoranthene<207-08-9>
beryllium<7440-4l-7>
bhc (lindane)-gaffima<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
bis<2-chloroethoxy)raethane
bis(2-chloroethyl)ether
bis<2-chloroisop ropy 1) ether
   <39638-32-9>
butyl benzyl phthalate<85-68-7>
ca dmlum<7 440 - 43- 9>
carbon tetrachloride<56-23-5>
chlordane<57-74-9>
chlorobenzene<108-90-7>
chlorodibroraoraethane<124-48-l>
chloroethane<75-00-3>
chloro£orm<67-66-3>
chromiura<7440-47-3>
chrysene<218-01-9>
copper<7440-50-8>
cyanide<57-12-5>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
dIbenzo(a,h)anthraceiie<53-70-3>
dichlorobroiBoniethane<75-27-4>
dieldrin<60-57-l>
diethyl phthalate<84-66-2>
difflethyl phthalate<131-ll-3>
endosulfan sulfate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endrin<72-20-8>
ethylbenzene<100-41-4>
f luoranthene<206-44-0>
fluorene<86-73-7>
heptachlor epoxide<1024-57-3>
heptachlor<76~44-8>
hexachlorobenzene<118-7 4-l>
hexachlorobutadieneC87-68-3>
hexachlorocyclopentadiene<77-47-4>
indeno (l,2/3-cd)pyrene<193-39-5>
isophorone<78-59-l>
lead<7439-92-l>
mercury <7439-97-6>
n-nitrosodi-n-propylamine
   <621-64-7>
n-nitrosodimethylaroine<62-75-9>
n-nitrosodiphenylamine< 86-30-6>
naphthalene<91-20-3>
nickel<7440-02-0>
nitrobenzene<98-95-3>
p-chloro-o-cresol<59-50-7>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 {arochlor 1260)
   <11096-82-5>
pentachlorophenol<87-86-5>
phenanthrene<85-01-8>
                         434

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Accession Ho.  6203000104
                                                           (cont)
            trichloroethylene<79-01-6>
            trlchlorofluororaethane<75-69-4>
            zinc<7440-66-6>
            total organic halides
            chlorine dioxide
            chlorite
            chlorate
            23 metals
    phenol<108-95-2>
    pyrene<129-00-0>
    seleruum<7782-49-2>
    silver<7440-22-4>
    tetrachloroethylene<127-18-4>
    thalliuia<7440-28-0>
    toluene<108-88-3>
    toxaphene<8001-35-2>
    tribroraomethane<75-25-2>
(CAS)  CAS registry numbers of substances Included in data base:  71-55-6
    ; 79-34-5;  79-00-5; 75-34-3; 75-35-4;       120-82-1; 95-50-1;
    107-06-2;  73-87-5; 156-60-5; 541-73-1; 542-75-6;   106-46-7;
    88-C6-2;  120-83-2; 105-67-9; 51-28-5; 121-14-2; 606-20-2;
    91-58-7;  95-57-8; 88-75-5; 91-94-1! 205-99-2; 72-55-9; 50-29-3;
    534-52-1;  101-55-3; 7005-72-3; 100-02-7; 83-32-9; 208-96-8;
    107-02-8;       107-13-1; 309-00-2; 120-12-7; 7440-36-0; 7440-38-2;
    71-43-2;  92-87-5;      56-55-3; 50-32-8; 191-24-2; 207-08-9;
    7440-41-7;  58-89-9; 319-84-6;   319-85-7; 319-86-8; 111-91-1;
    111-44-4;  39638-32-9; 85-68-7;     7440-43-9; 56-23-5; 57-74-9;
    108-90-7;  124-48-1; 75-00-3; 67-66-3;    7440-47-3; 218-01-9;
    7440-50-8;  57-12-5; 84-74-2; 117-84-0; 53-70-3;       75-27-4;
    60-57-1;  84-66-2; 131-11-3; 1031-07-8; 959-98-8; 33213-65-9;
    72-20-8;  100-41-4; 206-44-0; 86-73-7; 1024-57-3; 76-44-8; 118-74-1;
    87-68-3;  77-47-4; 193-39-5; 78-59-1; 7439-92-1; 7439-97-6;
    621-64-7;        62-75-9; 86-30-6; 91-20-3; 7440-02-0; 98-95-3;
    59-50-7;  12674-11-2;   11104-28-2; 11141-16-5; 53469-21-9;
    12672-29-6; 11097-69-1;      11096-82-5; 87-86-5; 85-01-8;
    108-95-2;  129-00-0; 7782-49-2;     7440-22-4; 127-18-4; 7440-28-0;
    108-88-3;  8001-35-2; 75-25-2;    79-01-6; 75-69-4; 7440-66-6
(C&M)  Contact  name(s): Wesselman/R*   ;    Berg/E.
(RQR)  Responsible Organization: Office of Research and
    Development.Office of Monitoring Systems and Quality Assurance
435

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                             Accession Wo.   6203000105

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  National Water Quality Network  Data
(ACR)  Acronym of Data Base  or Model:  None
(MSD)  Media/Subject of Data Base or Model: Surface water fresh and
    marine waters
(ABS)  Abstract/Overview of  Data Base  or Model:  Data base consists of
    bench sheets containing  data on the species  composition of
    plankton,     periphyton, invertebrate  and fish samples collected
    at 150 network stations  throughout the  United States,  1956-1970.
    Pollutant parameters not applicable to     this data base.
(CTC)  CONTACTS! Subject matter   Cornelius I. Weber  (513)684-7337
    >     Computer-related  C
(DTP)  Type of data collection or monitoring:  Ambient data collection
(STA)  Data Base status: Discontinued
(NPP)  Pon-pollutant parameters included in the  data base: Biological
    data ;sampling date >Phytoplankton ;Zooplankton |Periphyton J
    Macroinvertebrates ;Fish ;Counts ;Species  composition
(DS)  Time period covered by data base: 01-01-56 TO 12-30-70
(TRM)  Termination of data collection: Occurred  01/30/71
(FRQ)  Frequency of data collection or sampling: weekly ;monthly
(NOB)  Number of observations in data  base: 200000.(Estimated)
(HEX)  Estimated annual increase of observations in data base:  (N/A.)
(INF)  Data base includes: Ran data/observations ;Summary aggregate
    observations
(NTS.)  Total number of stations or sources  covered In data base: 250.
(KCS)  Wo. stations or sources currently originating/contributing  data:
    (N/JS.)
(NOF)  dumber of facilities  covered in data base (source monitoring): (N
    one.)
(GEQ)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source  include:
    State jCity
(FAC)  Data elements identifying facility include: National Hater
    Quality Network station  number
(CDE)  Pollutant identification data are: Uncoded
(LIH)  Limitation/variation  in data of which user should be aware: None
(DPR)  Data collect./anal, procedures  conform  to ORD guidelines: Samplin
    g plan documented ^Collection method documented ;Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods?  YES
(PRE)  Precision: Precision  and accuracy estimates exist but are not
    included in data base.
(EOT)  Editting: Edit procedures used  but undocumented.
(CBY)  Tata collected by: Local agency many local agencies ;State
    agency most states ^Regional office all Other federal agency  U.S.
    Geological Survey, Department of  Interior,  Tennessee Valley
    Authority
(ABY)  Data analyzed by; EPA lab Environmental Monitoring and Support
    Laboratory-Cincinnati
(I0L)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Trend assessment
(PR2)  Secondary purpose of  data collection: Program evaluation


                             436

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                             Accession No.   6203000105     (cent)

(AUT)  Authorization for data collection: Statutory authorization is P
    L 660/ Section 106e (Clean Water Act-CWA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    Annual publications of data summary/ 1956-1963
    data on bench sheets
(KDS)  Number of regular users of data base: 1 office
(USR)  Current regular users of data base:  EPA laboratories
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: EPA lab-Environmental
    Monitoring & Support Lab-Cincinnati
(DST)  Form of data storage: bench sheets
(DAC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base master file up-date: Other Data base no
    longer updated
(CMP)  Completion of form:
    Cornelius I. «eber
    OFC: E?A/(ORD)/(OMSQA)/(EMSL-CIN)
    AD: 26 H St. Clair Cincinnati, Ohio
    PH: (513)684-7337
(DF)  Date of fora completion: 02-01-83
(CNM)  Contact name(s): WeberxC.I«>    Heber/C.I.>    Weber/C.I.
(ROR)  Responsible Organisation: Office of Research and
    Development.Office of Monitoring Systems and Quality Assurance
                             437

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                             Accession No.   6203000106

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Fecal Coliforms in Chlorinated
    Sewage Plant Effluents
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model:  Effluents Municipal  Sewage
UBS)  Abstract/Overview of  Data Base  or Model:  This data base consists
    of fecal coliforoi levels  detected in municipal waste-later
    treatment facilities in  the     Cincinnati,  Ohio area.   Data are
    froir five sewage treatment plants  which are  representative of
    various treatment/  chlorination systems.  Analyses Mere by
    standard membrane   filter and most probable number of procedures
    compared to   three modified nerebrane procedures for improved
    recovery of fecal coliforms.  The  objective  of this applied
    research was     to find an improved methodology for fecal
    coliforms in effluents.
(CTC)  CONTACTS: Subject matter   Robert Bordner  (513) 684-7319  ;
    Computer-related  None
(DTP)  Type of data collection or monitoring:  Point source data
    collection Sewage treatment plant  effluent
(STA)  Data Base status: Operational/ongoing
(NPP)  I?on-pollutant parameters included in the  data base:  Location
    ;Sampling data ;Site description
(DS)  Time period covered by data base: 03-01-7*7 TO 09-30-78
(TRM)  Termination of data collection: Occurred  12/30/80
(FRQ)  Frequency of data collection or sampling: weekly
(NOB)  Number of observations in data  base:  140.(Estimated)
(HEI)  Estimated annual increase of observations in data base: (N/A*)
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data base: 5.
(NCS)  No. stations or sources currently originating/contributing data:
  -" 0. ;
(NOF)  Number of facilities  covered in data base {source monitoring): 5.
(GEO)  Geographic coverage of data base: County/city SIP plants  located
    in Cincinnati, Ohio area:  Hamilton     County Ohio  and Florence,
    Kentucky
(LOO  Data elements identifying location of station or source include:
    Project identifier ;STP  location
(FAC)  Data elements identifying facility include: Plant facility name
    jplarit location ^Program identifier
(CDE)  pollutant identification data are: Storet parameter
(LIM)  Limitation/variation in data of which user should be aware: Data
    is from five sewage treatment plants in the   Cincinnati, Ohio area,
    representative of various treatment/ chlorination systems.
(DPR)  Data collect./anal* procedures  conform to (3RD guidelines: Samplin
    g plan documented ^Collection method documented ^Analysis method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(PRE)  Precision: Precision and accuracy estimates are not available*
    Edit Original data base has had documented edits, not recently
    acquired    data.
(CBY)  Data collected by: EPA lab Environmental  Monitoring Support
    Lab-Cincinnati


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                             Accession No.   6203000106     (cont)

(ABY)  Data analyzed by:  EPA lab Environmental Monitoring Support
    Lab-Cincinnati
(IDL)  Laboratory identification! YES

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                             Accession No.   6204000101

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Hultispectral  Scanner  and
    Photographic Imagery
(ACR)  Acronym of Data Base  or Model:  IMAGERY
(MED)  J*edia/Sub}ect of Data Base or Model:  Other passive remote
    sensing data from aircraft and  satellite*
(ASS)  Abstract/Overview of  Data Base  or Model:  The data  base  is  an
    index for various data tapes  containing anil ti spectral Imagery  from
    aircraft and     satellite.   Some  data  are classified into various
    land use patterns and others have  thermal gradations    identified.
    Imagery includes data for industrial facilities,   waste
    discharges, and oil and  other substance  spills   on land or water.
    The data base is concerned with     identified sources of  pollution
    and effects of    pollution.
(CTC)  CONTACTS: Subject matter G,  Shelton/C. Lake (702)798-2260;
    Computer-related  C. Edmonds (702)798-2181;  EPA Office     B.
    Snelling (702)798-2360
(DTP)  Type of data collection or monitoring: Combination/Other
    industrial facilities, waste discharges, oil  and     other spills
(STA)  Data Base status: Operational/ongoing
(IPP)  Non-pollutant parameters included in  the  data base: Discharge
    points jDlsposal ;Slevation ;Geographic  subdivision ;   Industry
    ;Temperature ;land use
(DS)  Time period covered by data base: 01-01-75  to 09-30-82
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling:  as needed
(NOB)  JJuicber of observations in data  base:  18000*(Estimated)
(IMF)  Data base includes: Raw data/observations  ;classifled Imagery
    according to ground truth
(NTS)  Total number of stations or  sources  covered in data base:  (N/A.)
(NCS)  No. stations or sources currently originating/contributing data:
    (N/A.)
(NOF)  Number of facilities  covered in data  base  (source  monitoring): (N
    /A.)
(GEO)  Geographic coverage of data  base: National
(LOG)  Data elements identifying location of station or source include:
    Coordinates UTK
(FAC)  Data elements identifying facility include: N/A
(CDS)  Pollutant identification data are: Uncoded
(LIM)  Limitation/variation  in data of which user should  be aware:  None
(DPR)  Data collect./anal, procedures  conform to  OHD guidelines:  Sarapiin
    g plan documented ^Collection method documented ^Analysis  method
    document QA procedures documented
.ASL)  Lab analysis based on EPA-approved or accepted methods? NO
(AUO)  Lab Audit: Data not based on lab analysis.
(PRS)  Precision: Precision  and accuracy estimates are  not available
(EDf)  Fditting: N/A
(CBY)  Data collected by: EPA lab Environmental  Monitoring Systems
    Lab-Las Vegas ; Con tractor Lockheed Engi
(ABY)  Tata analyzed by: EPA lab Environmental Monitoring Systems
    Lab-Las Vegas
    Contractor Lockheed Engineering &  Management  Services Co.


                             440

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                             Accession No.   6204000101      (cont)

(IDL)  Laboratory identification:  NO
(PR1)  Primary purpose of data collection:  Special study
(AUT)  Authorization for data collection:  Ho statutory  requirement:
    Data collection requirement is    necessary for Regional  Offices*
    enforcement and compliance activities.

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                             Accession No.   6204000103

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Therraolurainescent Dosimetry Data
    Base
(ACR)  Acronym of Data Base  or Model;  TLD
(MED)  fcedia/Subject of Data Base or Model:  Other  -  therrao luminescent
    dosimeters /Other - film badges
(A8S)  Abstract/Overview of  Data Base  or Model:  Environmental radiation
    data collected since 1951 in   the Nevada Test Site  Offsite  Area/
    California and Utah.  Data    is from  reports/ PHS monitoring  logs,
    and EPA monitoring logs*
(CTC)  CONTACTS:  Subject matter  Director, Nuclear Radiation
    Assessment?     Computer-related  Robert G.  Patzer   (702) 798-2324
    ;  EPA Office Director,  Nuclear Radiation Assessment
(DTP)  Type of data collection or monitoring:  Ambient exposures  and
    exposures from airborne  releases  of radioactivity from Ne
(STA)  Data Base  status: A.  Presently  Operational/Ongoing
(NPP)  Non-pollutant parameters included in  the  data base: Geographic
    subdivision-Nevada, California and Utah  ;Personnel name and  social
    se Dosimeter  type jDaraage code ^Measurement  period ^Station  number
    ?     Station names jEvent code
(DS)  Time period covered by data base: 01-01-55 fO  10-31-82
(TRH)  Termination of data collection: Sot known
(FRQ)  Frequency  of data collection or sampling: one time only ;monthly
    ^quarterly
(NOB)  Number of  observations in data  base:  46000(Estimated)
(NED  Estimated  annual increase of observations in  data base: 1000
(INF)  Data base  includes: Raw data/observations iQther-Analyticai
    results
(NTS)  Total number of stations or sources covered in data base:  100
(NCS)  No. stations or sources currently originating/contributing  data:
    78
(NOF)  Number of  facilities  covered in data  base (source monitoring):  1
(GEQ)  Geographic coverage of data base: National
(LOG)  Data elements identifying location  of station or  source include:
    Other-Station number ;Other-personnel  number
(FAC)  Data elements identifying facility  include: Other-none
(CDE)  Pollutant  identification data are:  Other  coding scheme-Whole
    body gamma exposure
(DPR)  Data collect./anal, procedures  conform to QRD guidelines:  Samplin
    g plan documented ^Collection method documented ^Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved  or accepted methods? YES
(ADD)  Lab Audit! Lab audit is satisfactory
(PRS)  Precision: Precision and accuracy estimates partially  exist for
    current data.
(EOT)  Editting:  Edit procedures will  be available.  ;    No known  edit
    procedures exist
(CBY)  Data collected by: EPA lab-Environmental  Mentoring Systems
    Lab-Las Vegas ;Other federal agency -  U. Las Vegas,  Nevada
(ABY)  Data analyzed by: EPA lab Environmental Monitoring Systems
    Lab-Las  Vegas, Nevada
    Other federal agency U.S. Public Health  Service, Las  Vegas,  Nevada


                             442

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                             Accession No.   6204000103     (cont)

(IDL)  Laboratory Identification:  YES
(PR2)  Secondary purpose of data collection:  Special study
(AUT)  Authorization for data collection:  No statutory requirement:
    Data collection requirement is part of  the total radiation safety
    program at the Nevada Test Site.
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and  outputs of data base:  Publicatlons-
    Offsite Environmental Monitoring  Report for    Nevada Test Site
    published annually and quarterly.
(HUS)  Number of regular users of data base:  5
(USE)  Current regular users of data  base:  EPA
    laboratories-Environmental Systems Laboratory/ Las Vegas
(CNF)  Confidentiality of data and limits on access: Limits on outside
    access for some data
(DLC)  Primary physical location of data:  EPA lab-Environmental
    Monitoring Systems Lab /Other federal agency
(DST)  Form of data storage: Magnetic tape ;Magnetic disc ^Original
    forir (hardcopy/ readings) ;     IBM cards  KIDS:6204000103
(DAC)  Type of data access: EPA hardware - CDC 6400
(CHG)  Direct charge for non-EPA use: No
(UPDT)  Frequency of data base master file up-date: Quarterly
(8DBEPA)  Related EPA data bases used In conjunction uith this data  base
    Environmental Monitoring Systems  Lab-   Las Vegas/ Survey Heter/
    Historical Dosimetry (Film Badge)/ STDMS Data Bases.
(CMP)  Completion of form:
    Robert G. Patzerf  OFC: EPA/ORD/OMTS/EMSL-LV
    AD: P.O. Box 15027, Las Vegas/ NV  89114
    PH: (702) 798-2324
(DF)  Date of form completion: 12-13-82
(NMAT)  Number of substances represented in data base: 12-02-82      1
(MAT)  Substances represented in data base:
    Whole body penetratinggamma             radiation
(CSM)  Contact name(s): Patzer/R.G
(COR)  Contact organization: Director/ Nuclear Radiation Assessment
(RQR)  Responsible Organization: Office of Research and
    Development.Office of Monitoring  Systems and Quality Assurance
                             443

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                             Accession No.   6204000105

(DQ)  Date of Questionaire:  12-02-82
(NAN)  Name of Data Base of  Model: National Phytoplankton Data  Base  (in
    lakes)
(ACR)  Acronym of Data Base  or  Model:  NES PHYTQ
(MED)  Media/Subject of Data Base or Model: Surface water lakes
    yBiological
(ABS)  Abstract/Overview of  Data Base or Model: Classification  and
    enumeration of phytopiankton algae  for the National Sutrophlcation
    Survey was initiated in  1972     and has been carried out at  the
    Environmental Monitoring    Systems Laboratory since 1973.  During
    this period a   phytoplankton data base of approximately 65,000
    entries and counts was developed/  representing information  from
    nearly  600 lakes in 38  states.  This extensive data base includes
    over  1,200 Identified species, varieties, and forms and is the
    most comprehensive of its type in the United States.
(CTC)  CONTACTS: Subject natter   Victor W. Lambou  (702) 798-2259;
    Computer-related  Victor H. Lambou  (702) 798-2259  ;  EPA Office
    Victor W. Lambou (702) 798-2259
(DTP)  Type of data collection  or monitoring: Ambient data collection
(STA)  Data Base status: Discontinued
(NPP)  Non-pollutant parameters included in the data base: Biological
    data ;Chemical data }Concentration measures /Geographic subdivision
    ; Location ;Physical data ^Political subdivisions ;Sampling data }
    Temperature ;algal identification and counts ;depth Conductivity
(DS)  Time period covered by data base: 04-01-72 TO 11-30-75
(TRM)  Termination of data collection: Occurred 11/30/75
(FRQ)  Frequency of data collection or sampling: Other  Three times
    yearly (spring, summer,  fall)
(NOB)  Number of observations in data base: 65000.(Estimated)
(NEI)  Estimated annual increase of observations in data base:  (N/A.)
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources covered in data base:  2400.
(NCS)  No. stations or sources  currently originating/contributing data:
    1800.
(NQF)  Number of facilities  covered in data base (source monitoring): (N
    /A.)
(GEO)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or source  include:
    State /County ^Coordinates  Latitude and longitude ;narrative
    descriptions of sit
(CDS)  Pollutant identification data are: Oncoded
(LlM)  Limitation/variation in data of which user should be aware: Sampl
    ing was conducted three  times yearly    over a four year period.
    Phytoplankton data are based on   single depth integrated composite
    samples from each lake.
(DPR)  Data collect./anal, procedures conform to ORD guidelines:  Samplin
    g plan documented Collection method documented ^Analysis method
    document
(ANL)  Lab analysis based on SPA-approved or accepted methods?  YES
(AUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision  and accuracy estimates exist but are  not


                             444

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                             Accession No.   6204000105     (cant)

    included in data base.
(EOT)  Fditting:  Edit procedures used and documented.
(CBY)  Data collected by: EPA lab Environmental Monitoring Systems
    Lab-Las Vegas
(ABY)  Data analyzed by:  EPA lab Environmental Monitoring Systems
    Lab-Las Vegas
    Contractor University of Nevada-Las Vegas
(IDL)  Laboratory identification: YES
(PR2)  Secondary purpose  of data collection: : Special study
(AUT)  Authorization for  data collection: Ho statutory requirement;
    Special study
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base:  Publications
    Taylor, et al. 1979.   Phytoplankton Mater Quality   Relationships
    in U.S. Lakes/ Part 1:   Methods,  Rational and Data     Limitations
    SPft 600 3-79-021
    Unpublished reports Sutrophication Survey Methods
    1973-76.6.Working paper number 175.  ORD. NEFC-LAS VEGAS, JIV
    NERC-CORVALL1S, OR
(NUS)  Number of regular  users of data base: 500
(USR)  Current regular users of data base:  EPA regional offices
    SPA laboratories
    Other federal agencies
    States
    Universities
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data

    anunonia<7664-41-7>                   nitrogen<7727-37-9>
    chlorophyll                          pH
    dissolved ortho phosphorus           phosphorus<7723-14-0>
    dissolved oxygen                     turbidity
    kjeldahl


                             445

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                             Accession No.   6204000105     (cont)

(CAS)  CAS registry numbers of substances included in data base:  7664-41
    -7; 10102-44-0; 7727-37-9; 7723-14-0
(CNM)  Contact name(s):  Larabou^V.H.     ;    Lambou/V.W.   ;
    Lamfcou/V.W.
(ROR)  Responsible Organization:  Office of  Research and
    Development.Office of Monitoring Systems and Quality Assurance
                             446

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                             Accession No.   6204000118

      Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Sample Tracking and  Data Management
    System
(ACR)  fcronym of Data Base  or Model:  STDMS
(MED)  Media/Subject of Data Base or Model:  Air ; Or ink ing water  JGround
    uater ;Soil ;Qther milk  ;0ther food ; other vegetation / Other
    urire > Other animal tissue/bone
(ABS)  Abstract/Overview of  Data Base  or Model: Environmental radiation
    data directed toward monitoring and surveillance for nuclear
    testing   activities.  Includes data from routine and stand-by
    surveillance networks.   Geographic locations include   all states
    West of the Mississippi  River with emphasis on   Nevada/ Utah and
    California.  Data is generated for gross alpha/ beta/ and gamma
    radioactivity related to atmospheric releases of fission products
    from nuclear testing.
(CTC)  CONTACTS: Subject matter   Director, Nuclear Radiation
    Assessment Division/    /     Comp
(DTP)  Type of data collection or monitoring: Combination/Other  Ambient
    and point source (nuclear test sites)
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented In Data Base: 18 radioactive
(NPP)  Non-pollutant parameters included in the data base: Concentration
    measures ;Geographic subdivision ;Political subdivisions /
    Sampling date ;Test/analysis method
(DS)  Time period covered by data base: 01-01-62 TO 09-30-82
(TRM)  Termination of data  collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: one time only ;daily
    /weekly ^monthly ;quarterly ;semi  annually / annually /as needed
(NOB)  lumber of observations in data  base: 28QOOO(Estimated)
(NED  Estimated annual increase of observations in data base: 15000.
(IMF)  Data base includes:  Ran data/observations
(NTS)  Total number of stations or sources covered in data base: 1000.
O1CS)  J>lo. stations or sources currently originating/contributing data:
    680.
(NOF)  Number of facilities  covered in data base (source monitoring):  10
    •
(GEQ)  Geographic coverage  of data base: National
(LOG)  Data elements identifying location of station or source include:
    State ;County ;City ;Station ;Project identifier
(FAC)  Data elements identifying facility include: test site
(CDS)  pollutant identification data are: Other coding  scheme
(LIM)  Limitation/variation in data of which user should be aware:  Radla
    tion data/ nuclear test site oriented/   primarily fission products.
(DPR)  Tata collect./anal,  procedures  conform to DRD guidelines: Samplin
    g plan documented Collection method documented ^Analysis method
    document QA procedures  documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? ¥ES
(AUD)  Lab Audit: Lab audit  is satisfactory.
(PRE)  Precision: Precision and accuracy estimates are  partial and
    highly variable
(EOT)  Fditting: Edit procedures used but undocumented*

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                             Accession Mo.   6204000118      (cont)

    Lab-Las Vegas ;Con tractor labs Eberlin  Reynolds Electric  and
    Engineering.
(ABY)  Data analyzed by:  SPA lab Environmental  Monitoring  Systems
    Lab-Las Vegas
(IDL)  Laboratory identification:  NO
(PR2)  Secondary  purpose  of data collection  Special study
(ACT)  Authorization for  data collection:  No statutory  requirement:
    Data collection requirement is    part  of the total radiation
    safety program for nuclear testing at  the Nevada Test  Site.
(QMS)  Data collected/submitted using QMS-approved EPA  reporting forms:
    QQ
(REP)  Form of available  reports and  outputs of data base: Publications
    Offsite environmental monitoring  report for the     Nevada test
    site and other test areas (annual).
(NUS)  Number of  regular  users of data base:  100
(DSR)  Current regular users of data  base:  EPA  headquarter offices
    Office of Radiation Programs
    EPA regional  offices
    SPA laboratories
    Other federal agencies
    States
    congressional committees
(CNF)  Confidentiality of data and limits  on access: No limits on
    access to data
(DLC)  Primary physical location of data:  Other federal agency
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: EPA software Sample Tracking and  Data
    Management System  MIDS:6204000118 }  EPA hardware  CDC-6400
(CHG)  Direct charge for  non-EPA use: no
(UPDT)  Frequency of data base master file  up-date: Daily
(RD8EPA)  Related EPA data bases used in conjunction aith  this data  base
    Environmental Monitoring Systems    Lab-Las  Vegas ThD Data Base/
    Environmental Monitoring Systems  Lab-     Las Vegas  Survey Meter
    Data Base/ Environmental Monitering Systems    Lab-Las Vegas
    Historical Dosiraetry  Data Base/ PCI Data Base^ Whole Body   Count
    & Bioassay Data Base/ Three-Mile  Island Data Base
(CMP)  Completion of form:
    R.F. Grossmanf     OFC: EPA/(ORD)/(OMTS)/(E«SL-LV)
    AD: P.O. Box  15027 Las Vegas/ HV  89114
    PH: (702) 798-2331
(DF)  Date of form completion: 12-14-82
(NMAT)  Number of substances represented In data base:  16
(NCAS)  Number of CAS registry numbers in  data  base: 14
(MAT)  Substances represented in data base:
    barium 140               radiokrypton
    cesium 137<10045-97-3>              radioxenon
    iodine 129<15046-84-l>              strontium 89<14158-27-l>
    iodine 131<10043-66-0>              strontium 90<10098-97-2>
    krypton 85<13983-27-2>              tritium<10028-17-8>
    Plutonium 238<13981-16-3>           uranium 234<13966-29-5>
    Plutonium 239<15117-48-3>           uranium 235<15117-96-l>
    potassium<7440-09-7>                 uranium 238<7440-61-1>


                             448

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                             Accession No.   6204000113     (cont)

(CAS)  CAS registry numbers of substances included in data base:  14798-0
    8-4; 10045-97-3; 15046-84-1;      10043-66-0;  13983-27-2;
    13981-16-3; 15117-48-3; 7440-09-7;       14158-27-1; 10098-97-2;
    10028-17-8; 13966-29-5; 15117-96-1;      7440-61-1
(CNM)  Contact name(s): Grossman,R.F.   ;     Schweitzer/G.
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Monitoring Systems and Quality Assurance
                             449

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                             Accession No.   6204000120

      Date of Quest!onaire:  12-02-82
(NAM)  Eame of Data Base of  Model:  Western  Fine Participate  Monitoring
(ACR)  Acronym of Data Base  or Model:  WFPM
(MED)  Media/Subject of Data Base or Model:  Air
(ABS)  Abstract/Overview of  Data Base  or Model: The data in  this  data
    base are derived from air   filter samples (72  hr)  collected  in tuo
    size ranges/  15     micrometers to 2.5  micrometers  and less than
    2.5  micrometers.   Data  base contains gravimetric and trace
    element analysis for each size range.  Network    consists  of  40
    stations In western states (Arizona/ Neu     Mexico/ Colorado/
    Utah/ Wyoming/ Montana/  North Dakota/     and South Dakota).   Data
    are available from September 1979   to the Seroptember 1981.
(CTC)  CONTACTS:  Subject matter   Marc Pitchford  (702) 798-2368   ;
    EPA Office R. Snelling  (702) 798-2356
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base  status: Terminated 09/30/81
(NPP)  Non-pollutant parameters included in the data base: Concentration
    measures ^Elevation >Flow rates ^Location ;Sampling date ;
    Volume/mass measures
(DS)  Time period covered by data base: 09-01-79 TO 09-30-81
(TRH)  Termination of data collection: 09-30-91
(FRQ)  Frequency  of data collection or sampling: daily
(NOB)  Number of  observations In data  base:  1600000.(Estimated)
(HEI)  Estimated  annual increase of observations in data base: 80000.
(INF)  Data base  includes: Raw data/observations jSummary aggregate
    observations
(NTS)  Total number of stations or sources  covered  in data base:  40.
(NCS)  No- stations or sources currently originating/contributing data:
    40.
(NOF)  (lumber of  facilities  covered in data base (source monitoring):  40
    .
(GEO)  Geographic coverage of data base: Geographic region western
    states
(LOC)  Data elements identifying location of station or source Include:
    State ^Coordinates latitude/longitude ^Elevation
(FAC)  Data elements identifying facility include:  Program identifier
(CDE)  Pollutant  Identification data are: Uncoded
(LIM)  Limitation/variation in data of which user should be  aware:  None
(DPR)  Data collact./anal, procedures  conform to ORD guidelines:  Samplln
    g plan documented Collection method documented ;Analysis method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods? NO
(AUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates  exist but are  not
    Included in data base.
(EOT)  Editting:  Edit procedures used and documented.
(CSV)  Data collected by: University of California  at Davis  coordinates
    Federal Land   Managers and Nationa
(ABY)  Data analyzed by: University of California at Davis
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Development  of regulations
    or standards


                             450

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                             Accession No.   6204000120      (cent)

(PR2)  Secondary purpose of data collection:  Anticipatory/research
(AUT)  Authorization for data collection:  Statutory authorization Is  P
    L 86-206 as amended/ Sections 165 and  169A     (Clean Air Act-CAA)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    No
(REP)  Form of available reports and outputs  of data base: Publications:
    Fine Particulate Monitoring in the West
    Printouts on request
    Machine-readable raw data
(NUS)  Number of regular users of data base:  20
(USR)  Current regular users of data base:  EPA headquarter offices
    Office Air Quality Planning and Standards
    EPA laboratories
    Other federal agencies
    States
    National Park Service/ Bureau of Land  Management/ National Forest
    Service/ Department of Energy
    Environmental Monitoring Systems Lab-Las  Vegas/ Environmental
    Sciences Research Lab-Research Triangle Park
    Regions VIII, VI/ IX
(CNF)  Confidentiality of data and limits  on  access: No limits on
    access to data
(DLC)  Primary physical location of data:  Contractor
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: through contractor
(CHG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base master file  up-date: Quarterly
(CMP)  Completion of form:
    A. Pitchfordft GFC: EPA/(ORD)/(OMTS)/(EMSL-LV)
    AD: P.O. Box 15027 Las Vegas/ NV 89114
    PH: (702) 798-2368
(OF)  Date of form completion: 12-12-82
(NMAT)  Number of substances represented in data base:  11
(NCAS)  Number of CAS registry numbers in  data base: 6
(MAT)  Substances represented in data base:
    beryllium<7440-41-7>                lithium and compounds<7439-93-2>
    boron compounds<7440-42-8>          neon
    carbon                              nitrogen<7727-37-9>
    fluorine<7782-41-4>                 oxygen
    helium                              sodium<7440-23-5>
    hydrogen
(CAS)  CAS registry numbers of substances  included in data base: 7440-41
    -7; 7440-42-8; 7782-41-4; 7439-93-2;   7727-37-9; 7440-23-5
(CNM)  Contact name(s): Pitchford/M.   ;    Snelling/R.
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Monitoring Systems  and Quality Assurance
                             451

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                             Accession No.   6204000121

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Kame of Data Base of Model:  Four Corners Air Quality  Monitoring
(ACR)  Acronym of Data Base or Model:  4CRNRS
(MED)  tfedia/Subject of Data Base or Model:  Air
(ABS)  Abstract/Overview of Data Base  or Model: Data in this data base
    includes Total Suspended   Particulates  (TSP)  and trace  element
    data from the 29  station Air Quality Monitoring Network for  the
    years   1975-1979.  Stations yere  distributed  throughout "Four
    Corners Region" of Arizona, Neu Mexico,  Colorado and Utah.  24 hour
    filter samples were collected every other day*
(CTC)  CONTACTS:  Subject matter   Marc Pitchford  (702) 798-2368   ;
    Computer-related  Robert
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base  status: Discontinued
(GRP)  Groups of  substances represented in Data Base: 7 criteria  NAAQS
    /15 metals
(NPP)  Non-pollutant parameters included in  the data base: Concentration
    measures /Elevation /Location ^Political subdivisions /   Site
    description ;Volume/mass measures
(DS)  Time period covered by data base: 01-01-76 ID 09-30-79
(TRM)  Termination of data collection: Occurred 09/30/79
(FRQ)  Frequency  of data collection or sampling: daily
(iOB)  Kumber of  observations in data  base:  115000.(Estimated)
(NEI)  Estimated  annual increase of observations in data base:  (N/A.)
(INF)  Data base  includes: Raw data/observations
(NTS)  Total number of stations or sources covered in data base:  29*
(NCS)  No. stations or sources currently originating/contributing data:
    (N/A.)
(KOF)  number of  facilities covered in data  base (source monitoring): (N
    /A.)
(GL'O)  Geographic coverage of data base: Geographic region Western
    States-New Mexico/ Utah/ Arizona,  and   Colorado
(LOC)  Data elements identifying location of station or source  include:
    State jCounty ^Coordinates UTM ;Pro;)ect  identifier
(FAC)  Data elements identifying facility include: N/A
(CUE)  Pollutant  identification data are: Saroad parameter
(LIM)  Limitation/variation in data of uhich user  should be  aware: None
(DPR)  Data collect./anal, procedures  conform to CRD guidelines:  Samplin
    g plan documented ^Collection method documented /Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on SPA-approved or accepted methods?  YES
(ADD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but are  not
  •  included in data base.
(EOT)  Editting:  Edit procedures used  and documented.
(CBY)  Data collected by: Contractor Ute Research  Labs
(A8Y)  Data analyzed by: Contractor lab Ute  Research Labs
(IDL)  Laboratory identification: NO
(PP1)  Primary purpose of data collection: Trend assessment
(PR2)  Secondary  purpose of data collection: Special study
(AWT)  Authorization for data collection: No statutory  requirement:
    Special study
                                                       i

                             452

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                             Accession No.   6204000121      (cont)

(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    EPA-600/7-79-135 EPA Four Corners Anbient Air  Monitoring Network
    On-line computer
(NUS)  lumber of regular users of data base: 10
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Air Quality Planning and Standards
    EPA regional offices
    EPA laboratories
    Environmental Monitoring Systems Lab-Las Vegas
    Regions VI, VIII, IX
    States: Arizona, Colorado, New Mexico,  Utah
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: NCC/UNIVAC
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software SAROAD ;EPA hardware UNIVAC
    1110
(CHG)  Direct charge for non-EPA uses no
(UPDT)  Frequency of data base master file  up-date: Other study
    completed-no further updates
(CMP)  Completion of form:
    Robert N. Snelling
    OFC: F,PA/(ORD)/(OMTS)/(EMSL-LV)
    AD: P.O. Box 15027 Las Vegas, NV 89114
    PH: (702) 798-2368
(DF)  Date of form completion: 12-22-82
(NMAT)  Number of substances represented in data base:  11
(NCAS)  Number of CAS registry numbers in data base: 9
(NAT)  Substances represented in data base:
    cadmium<7440-43-9>                   molybdenum and compounds
    chromium<7440-47-3>                     <7439-98-7>
    cobsU<7440-48-4>                    nickel<7440-02-0>
    copper<7440-50-8>                    nitrate<14797-55-8>
    iron<7439-39-6>                      sulfates
    manganese<7439-96-5>                 total suspended particulates
(CAS)  CAS registry numbers of substances included in data  base: 7440-43
    -9; 7440-47-3; 7440-48-4; 7440-50-8;   7439-89-6; 7439-96-5;
    7439-98-7; 7440-02-0; 14797-55-8
(CMM)  Contact name(s): Pltchford,H.   ;    Snelling,R«    ;
    — — - - — — — — — w
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Monitoring Systems and Quality Assurance
                             453

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                             Accession No.   6204000122

(DQ)  Dste of Questionaire:  12-02-82
(SAM)  Same of Data Base of Model: Element  Concentrations in Biological
    Samples
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model: Tissue Hair/wool from
    cattle and sheep; lung/  liver/ kidney from  wildlife
(A8S)  Abstract/Overview of Data Base  or Model:  Tissue  assay results
    are given an animal samples  collected  at a  geothermal development
    site in southwest Utah     (1977-1978).  Concentrations of  barium/
    baron/ cadmium/     chromium/ copper/ iron/  lead/ manganese/
    strontium/ and zinc     uere determined for  livestock and uildlife
    samples*  Values are given in jnicrograras/gram net Height for  lung/
    liver and kidney and micrograms/gram dry weight for hair.
(CTC)  CONTACTS: Subject matter   William W. Sutton  (702) 798-2215
    ;     Computer-related  N
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances represented in  Data  Base: 15 metals
(NPP)  Eon-pollutant parameters included in the  data base:  Biological
    data ^Chemical data ^Concentration measures  ;Site description ;
    limited population survey (habitat associations species diversity
    and some estimates of animal abundance) ;population-density uildlife
(DS)  Time period covered by data base: 06-01-77 TO 09-30-78
(TRM)  Termination of data collection: Occurred  09/30/78
(FRQ)  Frequency of data collection or sampling: Other  Seasonal
    collections (primarily in summer months)
(NOB)  dumber of observations in data  base: 1000.(Estimated)
(Nfil)  Estimated annual increase of observations in data base:  (N/A.)
(ISF)  Data base includes: Summary aggregate observations
(NTS)  Total number of stations or sources  covered in data base:  1.
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(NOF)  dumber of facilities covered in data base (source monitoring): (N
    /A.)
(GEO)  Geographic coverage of data base: County/smaller location
    Roosevelt Hot Springs/ Utah
(LOG)  Data elements identifying location of station or source  include:
    State ;Town/township
(FAC)  Data elements identifying facility include: Plant location RHS
    geothermal development site
(CDE)  Pollutant identification data are: Uncoded
(LIH)  Limitation/variation in data of which user should be aware: None
(DPR)  Data collect./anal, procedures  conform to ORD guidelines:  Analysi
  ;  s method documented ;QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods?  YES
(PRE)  Precision: Precision and accuracy estimates exist but are  not
    included in data base.
(EOT)  Fditting: No known edit procedures exist.
(CBY)  Data collected by: EPA lab Environmental  Monitoring Systems
    Lab-Las Vegas ;Contractor Woodward & Cl (United to wildlife
    population survey)
(ABY)  Data analyzed by: state agency  University of Nevada-Las  Vegas


                             454

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                             Accession No.   6204000122      (cent)

    (Wildlife  Population Estimates only)
    EPA lab Environmental Monitoring Systems Lab-Las Vegas
    Contractor lab Laboratory of Nuclear Medicine & Radiation  Biology
    UCLA
    Contractor University of California Los Angeles (limited  to
    internal quality assurance)  for element assays only.
(IDL)  Laboratory identification:  YES
(AUT)  Authorization for data collections  No statutory  requirement:
    Data collection requirement  is    to support a special  study
(tlMB)  Data collected/submitted  using OMB-approvedi EPA  reporting  forms:
    QG
(REP)  Form of available reports and outputs of data base:  Publications
    Tissue Assays and Population Characteristics of     Roosevelt  Hot
    Springs Animals (1977-1978)
    Printouts on request
    Procedures for using Fauna as Biological Monitors (EPA
    Publication 600/7-78-233)
(NUS)  Number of regular users of data base: 3 offices
(USR)  Current regular users of  data base:  EPA headquarter  offices
    Office of Monitoring and Technical Support
    EPA regional offices-Region  VIII
    EPA laboratory/ Industrial Environmental Research
    Laboratory-Cincinnati
    Other federal agencies,  Bureau of Land Management
(CMF)  Confidentiality of data and limits  on access: No limits on
    access to data
(DLC)  Primary physical location of data:  National Technical
    Information Service (A'fIS)
(DST)  Form of data storage: Original form (hardcopy, readings)
(DAC)  Type of data access:  report available on request to  the National
    Technical  Information Service
(CHG)  Direct charge for ncn-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Other study not
    continued at Roosevelt Hot Springs
(FDBEPA)  Related EPA data bases used in conjunction with this data  base
    These data represent a portion of the    overall Environmental
    Monitoring Systems Laboratory-Las Vegas    project  for  Geothermal
    Environmental Impact Assessment (much  of which was  conducted  at  the
    Utah location).  Additional   EPA reports available  at the National
    Technical Information Service on request*
(CMP)  Completion of form:
    William W. Sutton
    OFC: EPA/(ORB)/(OMTS)/(EMSL~LV)/(EARD)/
    AD: EHSL/P.O. Box 15027/Las  Vegas, NV  89114
    PH: (702) 798-2215
(DF)  Date of form completion: 12-22-82
(NMAT)  Number of substances represented in data base:  6
(NCAS)  Number of CAS registry numbers in  data base: 6
                             455

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                             Accession No.   6204000122     (cont)

(HAT)  Substances represented in data base:
    cadnrium<7440-43-9>                   iron<7439-89-6>
    chromium<7440-47-3>                  lead<7439-92-l>
    copper<7440-50-8>                    zinc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data base: 7440-43
    -9; 7440-47-3; 7440-50-8; 7439-89-6;   7439-92-1; 7440-66-6
(CNM)  Contact name(s): Sutton,W.N.    ;    Applicable,N.
(COR)  Contact organization: Exposure Assessment Research Div./EHSL-LV
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Monitoring Systems and Quality Assurance
                             456

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                             Accession  No.   6204000123

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Kane of Data Base of  Model:  Three Mile Island Environmental
    Radiation
(ACR)  Acronym of Data Base  or Model: TMI RAD
(MED)  ^edia/Subject of Data Base or  Model:  Air ;Drinking water
    ;Effluents radiological  discharge ;Sediraent ;  Other milk  ;0ther
    food >Other thermoluminescent dosimeters
(AfiS)  Abstract/Dvervieu of  Data Base or Model: Environmental Radiation
    data collected following  March 28, 1979.  Accident at Three  Mile
    Island/ Middletoun, PA.   Data from  EPA,  Public Health Service
    (PHS), Nuclear    Regulatory Commission  (SRC), Department of  Energy
    (DDF),    state, and utility itself are  included.
(CTC)  CONTACTS:  Subject matter   Hilliam Kirk, EPA Office of Radiation
    Programs  Three Mile Island Field Station   (717) 782-4866   ;
    Computer-related   Paul  Hahn  EPA,  Office of Radiation Programs
    Las Vegas Facility   (702) 798-2443
(DTP)  Type of data collection or monitoring: Conbination/Other ambient
    plus radiological outfall.
(STA)  Data Base  status: Operational/ongoing
(GRP)  Groups of  substances  represented in Data Base: 18 radioactive
(SPP)  Non-pollutant parameters included in  the data base: Geographic
    subdivision jPolitical subdivisions ^Sampling  date  }
    Test/analysis method /sampling time of day
(DS)  Time period cowered by data base: 04-01-79 TO PRESEKT
(TRM)  Termination of data collection:  Anticipated  When plant clean-up
    is completed
(FRQ)  Frequency  of data collection or  sampling: one time only ;daily
    ;weekly ^monthly
(NOB)  lumber of  observations in data base:  45,000*(Estimated)
(NEI)  Estimated  annual increase of observations in data base: 10000.
(INF)  Data base  includes: Raw data/observations Analytical  results
(NTS)  Total number of stations or sources covered in data base:  500.
(NCS)  No. stations or sources currently originating/contributing data:
    200.
(NOF)  fiumber of  facilities  covered in  data  base (source monitoring):  1.
(GEO)  Geographic coverage of data base: Single state Pennsylvania
(LOC)  Data elements identifying location of station or source includes
    State ^County ;City
(FAC)  Data elements identifying facility include: Plant facility name
    >Plent location
(CDE)  pollutant  identification data  are: Other coding  scheme
(Lift)  Limitation/variation  in data of  which user  should be auare: Envir
    onmental Radiation Data, within    approximately 30 mile  radius of
    Three Mile Island,     from March 28, 1979 to  present.
(DPR)  Data collect./anal, procedures conform to ORD guidelines:  Samplin
    g plan documented Collection method documented ;Analysis method
    document QA procedures documented
(AML)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit  is satisfactory.
(PRE)  Precision: Precision  and accuracy estimates partially  exist for
    Some included, all     available
(EDT)  Editting:  Edit procedures used but undocumented.


                             457

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                             Accession No.   6204000123      (cont)

(CBY)  Data collected by:  Self reporting Metropolitan Edison  (licensee)
    ;State agency Pennsylvania State   Department of Environmental
    Resources (DER) ;EPA Office of Radiation  Programs/  Three Mile
    Island Field Station %  Contractor lab  Brookhaven Lab/  Argonne  Lab*
    Contractor Teledyne Radiation Measurement Corporation   Other
    federal agency Department of Energy/ Nuclear  Regulatory
    Commission/ Public Health Service
(ABY)  Data analyzed by: Self reporting Metropolitan Edison
    State agency Pennsylvania State Department of Environmental
    Resources (DER)
    SPA Office of Radiation Programs^  Contractor lab Brookhaven Lab/
    Argcnne Lab.
    Contractor Teledyne/ Radiation Measurement Corporation
    Other federal agency Department of Energy/ Nuclear  Regulatory
    Corcnrission/ Public Health Service.
(IDL)  Laboratory identification:  YES
(PR1)  Primary purpose of data collection:  Compliance or enforcement
(PR2)  Secondary purpose of data collection: Risk assessment
(AUT)  Authorization for data collection: Ho statutory  requirement:
    Data collection requirement is    to compile record of
    radioactivity associated with accident  and clean-up   at  Three  Mile
    I s 1 and.
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(PEP)  Form of available reports and outputs of data base:  Printouts on
    request
    On-line computer
(NUS)  number of regular users of data base: 2
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Radiation Programs!   EPA regional offices
    EPA laboratories
    Other federal agencies
    States
    Private nuclear groups (pro and anti)
(CNF)  Confidentiality of data and limits.on access: No limits on
    access to data
(DLC)  primary physical location of data: EPA lab
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA accesses data through Department of
    Energy computer  systen in Las Vegas
(CHG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base master file  up-date: Monthly
(CMP)  Completion of form:
    A.E. Smith
    OFC: EPA/(ORD)/OMTS)/EMSL-LV)
    AD: P.O. Box 15027 Las Vegas/ NV 89114
    PH: (702) 798-2313
(DF)  Date of form completion: 12-22-82
(NMAT)  Number of substances represented in data base:  17
(NCAS)  Number of CAS registry numbers in data base: 15
                             458

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                             Accession No.   6204000123     (cont)

(MAT)  Substances represented in data base:
    barium 140<14798-08-4>               radioxenon
    cesium 137<10045-97-3>               radium 226<13982-63-3>
    iodine 129               strontium 8 9< 1415 8-27-1 >
    iodine 131<10043-66-0>               strontium 90<10098-97-2>
    krypton 85<13983-27-2>               tritiura<10028-17-8>
    Plutonium 238<13981-16-3>            uranium 234<13966-29-S>
    Plutonium 239            uranium 235<15117-96-l>
    pot£Ssium<7440-09-7>                 uranium 238<7440-61-1>
    radiokrypton
(CAS)  CAS registry numbers of substances included in data base:  14798*0
    8-4; 10045-97-3;  15046-84-1;      10043-66-0; 13983-27-2;
    13981-16-3; 15117-48-3; 7440-09-7;       13982-63-3;  14158-27-1;
    10098-97-2; 10028-17-8; 13966-29-5;      15117-96-1;  7440-61-1
(CNM)  Contact narae(s):  Kirk, William
(COR)  Contact organization: EPA/ Office of  Radiation Programs
(RQR)  Responsible Organization: Office of  Research and
    Development.Office of Monitoring Systems and Quality  Assurance
                             459

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                             Accession Ho.   6204000124

(CQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Water Quality-Atchafalaya
(ACR)  Acronym of Data Base or Model:  ATCHAF
(MED)  tfedia/Subject of Data Base or Model:  Sediment ^Surface uater
    river and overflow areas ^Biological:  fish/  phytoplankt
CABS)  Abstract/Overview of Data Base or Model:  Biological and chemical
    samples were collected for one year (Aug.  1979 - Aug.  1980) from
    overflow areas in the     Atcbafalaya River  Basin/  Louisiana.
    Physical/chemical samples   include dissolved oxygen,  temperature/
    suspended sediments/ conductivity and secchi disc.   Biological
    samples include   zooplankton/ macroinvertebrates/  and fish.
    Samples collected    will provide ambient  baseline  data/ as well  as
    information on    the anticipated ecological impacts from proposed
    changes to the hydrological regime of the  Basin.  No samples were
    collected for priority pollutants or toxic substances.
(CTC)  CONTACTS: Subject matter   Susan Melancon  (702) 798-4762  ;
    Computer-related    James E. Pollard  (702)  798-4762  ; EPA Office
    Victor W. Lambou  (702) 798-2259
(DTP)  Type of data collection or monitoring:  Ambient data collection
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances represented in Data  Base: 11 conventional
    water
(KPP)  Kon-pollutant parameters included in the  data base: Biological
    data ;Chemical data ^Collection method ^Concentration measures  ;
    Elevation ;Geographic subdivision ^Location  fPhysical  data
    ^Political subdivisions ; Salinity ;Sampling data jSite description
    ^Temperature jTest/analysis method
(DS)  Time period covered by data base: 08-01-79 TO 08-30-80
(TRM)  Termination of data collection: Occurred  08/30/80
(FRQ)  Frequency of data collection or sampling: Other Approximately
    monthly
(NOB)  number of observations in data base:  10000C.(Estimated)
(NEO  Estimated annual increase of observations in data base: (N/A.)
(INF)  Data base includes: Saw data/observations ;Summary aggregate
    observations
($TS)  Total number of stations or sources covered in data base: 30.
(NCS)  Ko. stations or sources currently originating/contributing data:
    30.
(NOF)  Wutnber of facilities covered in data base (source monitoring): (N
    /A.)
(GED)  Geographic coverage of data base: County/smaller location
    Atchafalaya River Basin in Louisiana.
(LOC)  Data elements identifying location of station or source include:
    State /City ;Street address ^Project identifier
(CDE)  Pollutant identification data are: Other  coding scheme
(LIM)  Limitation/variation in data of uhich user should be auare:  Diffe
    rent sampling periods for various stations*
(DPR)  Data collect./anal. procedures conform to CRD guidelines: Samplin
    g plan documented /Collection method documented /Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit is satisfactory.


                             460

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                             Accession No.   6204000124      (cont)

(PRE)  Precision;  Precision and accuracy estimates exist but  are not
    included in data base
(EDT)  Emitting:  Edit procedures used and documented.
(CSV)  Data collected by; EPA lab Environmental Monitoring  Systems
    Lab-Las Vegas Contractor University of  Other  federal agency U.S.
    Fish and Wildlife Service
(ABY)  Data analyzed by:  EPA lab Environmental  Monitoring Systems
    Lab-Las Vegas
    Contractor University of Nevada-Las Vegas
(IDL)  Laboratory identification; YES
(AUT)  Authorization for  data collection; Statutory authorization  is P
    L 95-217, Section 404
(OMB)  Data collected/submitted using QMB-approved EPA  reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base:  biological
    data on bench sheets
(NUS)  Number of regular  users of data base: 15
(USR)  Current regular users of data base: EPA  headquarter  offices
    Office of Hater and Hazardous Materials
    EPA laboratories
    University of Nevada-Las Vegas;  Coastal  Environments/ Inc
    States Louisiana Wildlife & Fisheries Commission
    EPA regional offices/ ROVI
    Other federal agencies/ U.S. Fish & Wildlife Servicve
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of  data: EPA lab
(DST)  Form of data storage: Computer storage (in  house mini  computer)
(DAC)  Type of data access: Raw data can be  printed from computer  file.
(CHG)  Direct charge for  non-EPA use: No
(UPDT)  Frequency of data base master file up-date: Other Approximately
    monthly
(CMP)  completion of form:
    Wesley L. Kinney
    QFC: EPA/(ORD)/(OMTS)/(EMSL-LV)/(AMD)/(AMI)
    AD: Las Vegas, NV. P.O. Box 15027 89114
    PH: (702) 798-2358
(OF)  Date of form completion: 12-14-82
(WHAT)  Number of substances represented in  data base:  2
(HAT)  Substances represented in data base:
    dissolved oxygen                     suspended solids
(CNM)  Contact narae(s): Melancon/S*     /    Pollard/J.E.
    Lambou/V.li.
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Monitoring Systems and Quality Assurance
                             461

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                             Accession  Mo.   6204000126

(DQ)  Date of Questionaire:  12-02-82
(NA»M)  Naroe of Data Base of  Models  Toxic Metals jslte specific  surveys
(ACR)  Acronym of Data Base  or Model!  TM
(MED)  Media/Subject of Data Base or Models  Effluents industrial,
    municipal wasteuater treatment plants.  ;Runoff    mine tailings   j
    Sediment /Surface water  /Tissue fish/ macroinsertebrates/ aquatic
    plants
(ABS)  Abstract/Overview of  Data Base  or Model; This is  a nationwide
    survey of selected streams   receiving  toxic tastes  from Publicly
    Owned Treatment   Works  (PQTWs) industrial sources and mine
    tailings.  Sampling of the biota/  sediments/ and     water  column
    is being conducted to determine concentrations  of metals and other
    toxicants present in receiving systems/  including the  biota/  to
    relete these data to aquatic community  composition      and
    structure in impacted and unimpacted zones.  Concurrently acute and
    chronic in situ flow through and static bioassay are conducted  to
    evaluate biological availability of metals and  other toxicants  and
    to investigate    importance of acclimation and detoxification  by
    organism exposed to   low levels of toxic pollutants.
(CTC)  CONTACTS: Subject matter   Dr.  Thomas LaPoint  (702) 798-4761
    ;     Computer-related    Thomas F, War  (702) 798-2631 j EPA Office
    Mesley L. Kinney (702) 798-2358
(DTP)  Type of data collection or monitoring? Consbinatlon/Other
    instream:  upstream/downstream from point source     discharges,
(STA)  Data Base status: Operational/ongoing

    Locetion ;Physical data  /Political  subdivisions jSalinity /Sampling
    date } Site description  ^Temperature ^Test/analysis  method
    ;conductivity
(OS)  Time period covered by data base: 08-01-80 TO 12-31-82
(TRM)  Termination of data collections  Ongoing
(FRQ)  Frequency of data collection or  sampling; annually jOther One
    week two week surveys of 16 streams across the  nation*
(NOB)  Number of observations in data  base:  3500000.(Estimated)
(MEI)  Estimated annual increase of observations in data base:  (N/A.)

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                             Accession No.   6204000126     (cont)

(LIM)  Limitation/variation in data of which user should be aware:  Exten
    t of data collected varies from stream   to stream.  Number  of
    sampling locations/survey site ranges from 4 to 9.
(DPR)  Data collect./anal,  procedures conform to GRD guidelines: CRD
    Guidelines
(A$L)  Lab analysis based on EPA-approved or accepted methods?  YES
(AUD)  Lab Audit:  Lab audit is satisfactory.
(PRE)  Precision:  Precision and accuracy estimates exist but are not
    included in data base*
(EDT)  Edittirig: Edit edit  procedures under development.
(CBY)  Data collected by: EPA lab Environmental Monitoring Systems
    Lab-Las Vegas  Contractor Lockheed Engr. & Mgmt. Services,  Inc.;
    University of  Nevada -  Las Vegas;
(ABY)  Data analyzed by: EPA lab Environmental Monitoring Systems
    Lab-Las Vegas
    Lockhead Engr. & Mgmt.  Services, Inc.;  Univeristy of Nevada - Las
    Vegas;  Laboratory of Nuclear Medicine  "and Radiation Biology -
    UCLA.
(IDL)  Laboratory  Identification: YES
(AOT)  Authorization for data collection: Statutory authorization is  P
    L 95-217, Sections 303, 304, 307 (Clean Water  Act)
(OMB)  Data collected/submitted using OMB-approved EPA reporting  forms:
    QQ
(REP)  Form of available reports and outputs of data base: Publications
    None as yet
    Unpublished reports: 10
(NUS)  Number of regular users of data base: 100 plus
(USR)  Current regular users of data base:  EPA headquarter offices
    Criteria and Standards     Division; Monitoring and Data Support
    Division   EPA regional offices
(CNF)  Confidentiality of data and Units on access: Limits on  outside
    access for some data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software STQRET (Physical and chemical
    data) ;EPA hardware IBM ;   PDP-11 (Biological data) ;EPA software
    8IOSTCRET (tissue analysis)
(CHG)  Direct charge for non-EPA use: no
(UPDf)  Frequency  of data base master file  up-date: Annually
(RSS)  Related EPA automated systems which  use data base: Biomed Stat
    Pack-analytic  and SAS-Analytic
(CMP)  Completion  of form:
    Wesley Z. Kinneytf  OFC: EPA/(ORD)/(OMTS)/(EMSL-LV)
    AD: P.O. Box 15027 Las  Vegas, KV 89114
    PH: (702) 798-2358
(DF)  Date of form completion: 12-14-82
(NMAT)  Number of  substances represented in data base: 31
(KCAS)  Number of  CAS registry numbers in data base: 25
                             463

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                             Accession No.   6204000126     (cont)

(HAT)  Substances represented in data base:
    alkalinity                           nitrogen<7727-37-9>
    ammonia<7664-41-7>                   pH
    arsenic<7440-38-2>                   phosphorus and compounds
    cadi»ium<7440-43-9>                      <7723-14-0>
    chlorine<7782-50-5>                  phosphorus<7723-14-0>
    chroBium<7440-47-3>                  redox potential (oxidation
    copper<7440-50-8>                       reduction potential)
    dissolved oxygen                     seleniun<7782-49-2>
    dissolved solids                     silver<7440-22-4>
    Iron and compounds<7439-89-6>        sulfates
    iron<7439-89-6>                      suspended solids
    leacX7439-92-l>                      total and free chlorine
    manganese<7439-96-5>                 total hardness
    mercury<7439-97-6>                   total organic carbon (TOO
    nickel<7440-02-0>                    turbidity
    nitrate<14797-S5-8>                  zinc<7440-66-6>
    nitrates/nitrites
(CAS)  CAS registry numbers of substances included in data base:  7664-41
    -7; 7440-38-2; 7440-43-9; 7782-50-5;   7440-47-3; 7440-50-8;
    7439-89-6; 7439-89-6; 7439-92-1; 7439-96-5;     7439-97-6;
    7440-02-0; 14797-55-8; 7727-37-9; 7723-14-0; 7723-14-0;
    7782-49-2; 7440-22-4; 7440-66-6
(CRM)  Contact name(s): LaPoint,T. ;    Uar^T.F.  ;    Kinney/W.L.
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Monitoring Systems and Quality Assurance
                             464

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                             Accession No.   6204000127

(DO)   Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Shite River Biological Monitoring
(ACR)  Acronym of Data Base  or Model:  MDS WR
(MED)  Media/Subject of Data Base or Model:  Surface water river
    jB iclogical/macroinvertebrate
(ABS)  Abstract/Overview of  Data Base  or Model:  Benthic
    raacroinvertebrate sampling Has conducted in    the  White  River  of
    Colorado and Utah from 1976 - 1981 in an effort to  establish
    sampling methods most appropriate  for   streams of  serai-arid
    regions.  Samples were collected   seasonally from as many as 10
    stations.  Numbers of replicates    per station ranged from 1 to 40
    during the various sampling sessions.
(CTC)  CONTACTS: Subject matter    Wesley L. Kinney  (702) 798-2358;
    Computer-related   James S. Pollard  (702) 798-4762 ; EPA Office
    Lesley L. Kinney (702) 798-2358
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Operational/ongoing
(NPP)  Kon-pollutant parameters included in the data base: Biological
    data ^Collection method  ;Flo« rates ^Geographic subdivision /
    Physical data >Political subdivisions ;Sampling data ;Site
    description }   Test/analysis method ;individuals conducting the
    sampling and performing  sample analyses are   identified.
    /Biological species
(DS)   Time period covered by data base: 04-01-76 TO 04-30-81
(TftM)  Termination of data collection: Occurred 09/30/80
(FRQ)  Frequency of data collection or sampling: Other  Seasonally
    (spring/ summer, fall)
(NOB)  Number of observations in data  base:  412000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: (N/A.)
(INF)  Data base includes: Ray data/observations ^Summary aggregate
    observations
(NTS)  Total number of stations or sources covered in data base: 22.
0JCS)  Ko. stations or sources currently originating/contributing data:
    22.
(NOF)  Number of facilities  covered in data base (source monitoring): (N
    /A.)
(GEO)  Geographic coverage of data base: Geographic region White River
    Basin of Colorado and Utah
(LOG)  Data elements identifying location of station or source Include:
    State ;River Mile/Country Road
(CDE)  Pollutant identification data are: Other coding  scheme
(LIM)  Limitation/variation  in data of which user should be aware:  Level
    s of sampling intensity/ methods/  and   stations sampled  varied
    from one sampling to another.
(DPR)  Data collect,/anal, procedures  conform to GRD guidelines: Samplin
    g plan documented ^Collection method documented ;Analysis method
    document QA procedures documented
(AND  Lab analysis based on SPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit  is satisfactory.
(PRE)  Precision: Precision  and accuracy estimates are not available
(EOT)  Editting: Edit procedures used  and documented.
(CBY)  Data collected by: EPA lab Environmental Monitoring Systems


                             465

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                             Accession No,   6204000127     (cont)

    Lab-Las Vegas ; Con tractor University of
(A8¥)  Data analyzed byj  EPA lab Environmental Monitoring Systems
    Lab-Las Vegas
    Contractor University of Nevada,  Las Vegas
(IDL)  Laboratory identification:  YES
(PRl)  Primary purpose of data collection:  Technology development
(AUT)  Authorization for  data collection:  Statutory authorization  is  P
    L 95-217 Sections 304, 308,  and 502.
(OMB)  Data collected/submitted  using QMS-approved EPA reporting forms:
    QQ
(REP)  Form of available  reports and  outputs of data base:  Publications
    Macroinvertebrates Sampling  Techniques for     streams  in semi arid
    regions: comparison of the sunber method and a   unset  effort
    Trouelsy kick method.  Assessment of Macroinvertebrate    Monitoring
    Techniques in a Energy Development Area: A Test of the  Efficiency
    of Three Macro-Benthic Sampling Methods in the White River.
    Biological  Monitoring Methodologic for oil shale and surface
    waters with emphasis  on  Macroinvertebrate Sampling Techniques.
    Comparison of macroinvertebrate samples as they apply to streams  of
    semi arid regions.  Investegator  differences   associated with a
    kicking method for sampling  macroinvertebrates.     Unpublished
    reports Macroinvertebrate Community Inventories of the     White
    River, Colorado and Utah.  Biomonitoring of White River, Colorado
    and Utah; 1980-81.  Investigation of nonpoint source monitoring
    procedures:     assessment of techniques tested in the  White River,
    Utah, oil shale area,
(NUS)  Number of regular  users of data base: 80
(USE)  Current regular users of  data  base:  EPA headquarter  offices
    
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                             Accession No.   6204000128

iDQ)  Date of Questionaire:  12-02-82
(WAM)  Name of Data Base of  Model:  Visibility  Investigative  Experiment
    in the West
(ACR)  acronym of Data Base  or  Models  VIEW
(MED)  Nedia/Subject of Data Base or Model:  Air
(ASS)  Abstract/Overview of  Data Base  or Model:  Data  base  contains
    visibility parameters     (contrast and  visual  range as  measured  by
    manual and   continuous  telephotometers  and  nepheloraeters),
    supporting meteorological data (wind speed and    direction,
    temperature and humidity, and photographs)  at  approximately  20
    national parks and monuments  primarily  in the  western United
    States.  Data     collection began mid-1978  and «ill end in early
    1983.   The data base is  part of the VIES research project for
    visibility regulations.   It documents ambient visibility and
    provides a data    base  for instrument and method intercoraparisons.
(CTC)  CONTACTS:  Subject matter   Pitchford   (702)798-2366    ;
    Computer-related   Ann Pitchford  (702)798-2366 ; EPA  Office: R.
    Snelling (702)798-2368  EMSL, Las  Vegas, NV
(DTP)  Type of data collection  or monitoring:  Ambient data collection
(STA)  Data Base  status: Operational/ongoing
(NPP)  Kon-pollutant parameters included in  the  data  base: Temperature
    ?«ind velocity ; humidity ; Contrast measurements of  visibility
(DS)  Time period covered by data base: 06-01-78 TO 01-31-83
(TRM)  Termination of data collection: Anticipated  03-31-83
(FRQ)  Frequency  of data collection or sampling: hourly meteorological
    data collection ;0ther ongoing: three times  per day;visibi
(NOB)  Number of  observations in data  base:  285690.(Estimated)
(NED  Estimated  annual increase of observations in data base: 197100.
(INF)  Data base  includes: Raw  data/observations ; Summary  aggregate
    observations
(NTS)  Total number of stations or sources covered  in data base:  25.
(NCS)  No. stations or sources  currently originating/contributing data:
    25.
(NOF)  Kurcber of  facilities  covered in data  base (source monitoring): (N
    /A.)
(GEO)  Geographic coverage of data base: National
(LOO  Data elements identifying location of station  or source include:
    State ;Latitude/longitude ;Elevation
(CDS)  Pollutant  identification data are: Saroad parameter
    Other coding  scheme
    Unccded
(LlM)  Limitation/variation  in  data of which user should be  aware: None
(DpR)  Data collect./anal, procedures  conform to ORD  guidelines:  Samplin
    g plan documented; collection method documented;  Analysis method
    documented/ QA, procedures documented.
(ANL)  Lab analysis based on EPA-approved or accepted methods? Lab
    analysis based on EPA-approved, accepted methods;     no reference
    methods exist
(AUD)  Lab Audit: N/A.
(PRE)  Precision: Precision  and accuracy estimates  exist but are  not
    Included in data base.
(EOT)  Fditting:  Edit procedures used  and documented.


                             467

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                             Accession No.   6204000123      (cent)

(CBY)  Data collected by:  Contractor Lockheed Engineering Management
    Services  Company (LEMSCO)  }      Other  federal  agency National  Park
    Service /Grantee - Visibility Research  Center,  John Muir  Institu
(ABY)  Data analyzed by:  Contractor: LEMSCO
    Cooperative agreement grantee,the Visibility Research Center
CIDL)  Laboratory identifications YES
(PR1)  Primary purpose of data  collection:  Development  of regulations
    or standards
(AOT)  Authorization for  data collection: No statutory  requirement:
    Data collection requirement is    to support methods development.
(OMB)  Data collected/submitted using OMB-approved  SPA  reporting forms:
    No
(REP)  Form of available  reports  and outputs of data base:  Publications-
    Standard visual range measured in the EPA/NPS  visibility network
    frore July, 1978 to Hovember 1919.
    Printouts on request
(NUS)  Number of regular  users  of data base: 25
(USR)  Current regular users of data base:  EPA
    laboratories-Environmental  Monitoring Systems Lab-Las Vegas Office
    of Air Quality & Planning and Standards, EPA#    Other federal
    agencies-National Park Service; Bureau  of    Land Management;
    private contractors and companies
(CNF)  Confidentiality of data  and limits on access: Mo limits on
    access to data
(DLC)  Primary physical location  of data: SPA lab,  EMSL-Las Vegas,  MV
(OST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: EPA software Assorted computer programs
    written for this  application ;     EPA hardware PDF 11/70 through
    contractor or grantee
(CHG)  Direct charge for  non-EPA  use: requestor must supply own
    magnetic tape/no  charge for  reasonable requests
(UPDT)  Frequency of data base  master file  up-date: Monthly
(RDBEPA)  Related EPA data bases  used in conjunction with this data base
    SAROAD-AIr Quality Data
(CMP)  completion of form:
    Ann Pitchford
    OFC: EPA/(ORD)/(OMfS)/(EMSL-LV)/(IMSB)
    AD: P.O. Box 15027, Las Vegas, NV 89114
    PH: (702)798-2366
(DF)  Date of form completion:  12-12-82
(CNM)  Contact natne(s): Pitchford,A.   }    Pitchford,A.
(RQH)  Responsible Organization:  Office of  Research and
    Development.Office of Monitoring Systems and Quality Assurance
                             468

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                             Accession No.   6204000129

(DQ)  Date of Questionaire:  12-12-82
(NAM)  Name of Data Base of  Model:  Explosive Assessment Research
    Project
(ACR)  Acronym of Data Base  or Model:  EARP
(MED)  Media/Subject of Data Base or Model:  Air/ambient and  meteorology
    jAtitospheric deposition  ;Drinking  water  ;   Ground water  ;Sedireent
    ?Soil ;Surface water, River ;Tissue fish,  shellfish, plants ;  No
    specific media/demographic data
(ABS)  Abstract/Overview of  Data Base  or Model:  Data base contains wind
    speed, wind direction,    vertical temperature profiles, surface
    temperatures;   concentrations of  BaP, chromium, cadmium,  arsenic,
    benzene in air, water (drinking, ground, river), soil,  plants,
    sediments, food stuffs;  demographic information (census) stratified
    by age, sex, occupational group; some samples to be analyzed for
    priority pollutants.
(CTC)  CONTACTS: Subject matter   Robert D.  Schonbrod  (702) 798-2229
    ;     Computer-related  G
(DTP)  Type of data collection or monitoring:  Ambient data collection
    (multi-Media)
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in Data Base; 129 307 CWA  on 1%
    of samples collected
(NPP)  Non-pollutant parameters included in  the data base: Concentration
    measures ;Exposure data  ;Flow rates ;Locatlon ;     Population
    demographics ;Population density  ;Sampling date ;     Site
    description ;Temperature  ;Wind direction ;   Hind velocity
    ;vertical temperature profiles ;Benzo(a)Pyrene emissions inventory
(DS)  Time period covered by data base: 10-01-79 TO 09-30-82
(TRM)  Termination of data collection: Anticipated 09-30-82
(FRQ)  Frequency of data collection or sampling:  bi-weekly-air ;as
    needed-other media ;contlnuous-meteorology
(NOB)  Number of observations in data  base:  3000.(Estimated)
(NET)  Estimated annual increase of observations in data base: 1000.
(IKF)  Data base includes: reviewed and edited data
(NTS)  Total number of stations or sources covered in data base: 12
    (O12 (meteorology)6 (for air))
(NCS)  Mo. stations or sources currently originating/contributing  data:
    12 (()12 (meteorology, )6 (air))
(NQF)  Number of facilities  covered in data  base (source monitoring):  (N
    /A.)
(GEO)  Geographic coverage of data base* Tri-state area Southeast  Ohio
    River Valley
(LOO  Data elements identifying location of station or source include:
    County ;SMSA ;City Coordinates latitude & longitude
(FAC)  Data elements identifying facility include: Plant facility  name
    ;Plant location ;SIC code
(CDE)  Pollutant identification data are: Uncoded
(LlK)  Limitation/variation in data of which user should be  aware: There
    are many more meteorological measurements than pollutant
    measurements.  The    majority of  chemical data concerns
    Benzo(a)pyrene,     chromium, cadmium, arsenic and  benzene.
(DPR)  Data collect./anal, procedures  conform to ORD guidelines: ORD


                             469

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                             Accession Ho.   6204000129      (cont)

    Guidelines
(AND  Lab analysis based on EPA-approved or accepted methods?  YES
(PRE)  Precision: Precision and accuracy estimates exist for
    meteorology measurements.
(EOT)  Editting:  £dit procedures used and documented.
(C3Y)  Data collected by: State agency Ohio, Kentucky,  West Va.
    Transportation Depts. ;     EPA lab Environmental Monitoring System
    Lab  (EMSL)-Las Vegas ;  ;Contractor LEMSCO
(A8Y)  Data analyzed by:  EPA lab environmental Monitoring Systems Lab
    (EMSL)-Las Vegas
    Contractor  LKMSCO
(IDL)  Laboratory identification:  YES
(P81)  Primary purpose of data collection:  Design of exposure
    assessment monitoring networks
(AUT)  Authorization for  data collection: No statutory  requirement:
    Data collection requirement is    the development of test methods
    used for assessing exposures.
(REP)  Form of available  reports and outputs of data base:  Unpublished
    reports Results of EARP.
    Call project officer
(MI'S)  Number of regular  users of data base: 3
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Monitoring  and Technical Support    (QMTS)
    SPA laboratories
(CNF)  Confidentiality of data and limits on access: Ho limits  on
    access to data
(DLC)  Primary physical location of data: SPA lab
(DST)  Form of data storage: Magnetic tape, meteorology
(DAC)  Type of data access: EPA software Custom software (no formal
    name) ;EPA hardware PDP 11/70
(CHG)  Direct charge for  non-EPA use: No
(UPDT)  Frequency of data base master file up-date: Monthly
(ODB)  Other pertinent non-EPA data bases:  National Oceanic and
    Atmospheric Administration (NOAA)—meteorological data
(CMP)  Completion of form:
    Robert D. Schonbrod
    OFC: FPA/(ORD)/(OMTS)/(SHSL-LV)/                   cadmium<7440-43-9>
    benzene<71-43-2>                     chroraium<7440-47-3>
    benzo(a)pyrene<50-32-8>
(CAS)  CAS registry numbers of substances included in data  base: 7440-38
    -2; 71-43-2; 50-32-8; 7440-43-9;       7440-47-3
(CNM)  Contact name(s): Schonbrod,R.D. ;    Flatman/G.;    Richitt,E.P.
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Monitoring Systems and Quality Assurance
                             470

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                             Accession Ho.   6204000130

(DQ)  Date of QuestionaireJ  12-02-82
(NAM)  Kaflie of Data Base of  Modal:  Survey Meter and Historical
    Dositnetry Data Base
(ACR)  Acronym of Data Base  or Model:  SM/HD
(MED)  Media/Subject of Data Base or Model: Other - Gamma radiation
(A8S)  ADS tract/Overview of  Data Base  or Modal; Data base contains
    gamma radiation measurements made    with survey instruments and
    film badges use for monitoring and   surveillance of nuclear
    testing activities in the 1950*s and     1960"s at  the Nevada Test
    Site.  Geographic areas  include Nevada,     Utah, Arizona,  Idaho,
    and California.
(CTC)  CONTACTS:  Subject aatter  Director,  Nuclear Radiation
    Assessment;     Computer-related  Gilbert B. Potter  (702)  798-2321
    ; EFA Office,     Office of Monitoring and Technical Support
(DTP)  Type of data collection or monitoring: Ambient data collection
    jCombination/Qther data  collection - gamma radiation fro
    radioactive fallout
(STA)  Data Base  status? Operational/ongoing
(K7PP)  Non-pollutant parameters included in the data base: Agency code
    of agency taking measurements jDate of measurement  ;  Location  or
    person name jMeter type  ^Nearest town ^Nuclear test or series name
    ;     Source  document log number jState ^Universal  Transverse
    Mercator coordinate
(DS)  Tirae period covered by data base: 01-01-50 TO 12-31-71
(TRM)  Termination of data collection: Occurred 12/31/71
(FRQ)  Frequency  of data collection or sampling: As required by
    atmospheric nuclear testing schedules
(NOB)  Number of  observations in data  base; 93QOO(£stiraated)
(NEI)  Estimated  annual increase of observations in data base:  (none)
(INF)  Data base  includes: Raw data/observations
(NTS)  Total number of stations or sources covered in data base:  (approx
    imately )60000
(NCS)  Ko. stations or sources currently originating/contributing data:
    0
(NOF)  Number of  facilities covered in data base (source monitoring):  1
(GSO)  Geographic coverage of data base: Geographic region -
    southwestern  U»S«
(LQC)  Data elements identifying location of station or source  include:
    State > Town/town ship ^Universal Transvers Mercator  Coordinate
(FAC)  Data elements identifying facility include: None-all data  is for
    one facility: the Mevada Test Site*
(CDS)  Pollutant  identification data are: Uncoded
(LIM)  Limitation/variation in data of which user should be aware:  Surve
    y oeter and film badge data, nuclear test site    oriented.
(DPR)  Data collect,/anal, procedures  conform to ORD guidelines:  Survey
    dieter measurements were performed at a height of  one meter above
    ground  metry data were derived from environmental  placement
    generally   one meter above the ground, and front personnel
    dosimeters.
(ANL)  Lab analysis based on EPA-approved or accepted methods?  NO
(AUD)  Lab Audit: Lab audit is satisfactory
(PRS)  Precisions Precision and accuracy estisnates are  highly variable.


                             471

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                             Accession Ho.   6204000130      (cont)

(EDT)  Emitting;  Edit procedures used but undocumented
CCBY)  Data collected by:  Many contributing federal,  state  and local
    agencies.
(ABY)  Data analyzed by:  Contributing agencies.
(IDL)  Laboratory identification:  YES
(PR1)  Primary purpose of data collection:  Risk  assessment
(PR2)  Secondary  purpose  of data collection: Special  study
(AUT)  Authorization for  data collection: Ho statutory  requirement:
    Data collection requirement Has part    of the total radiation
    safety program for nuclear testing at the Nevada  Test Site.
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(REP)  Form of available  reports and outputs of  data  base:  Publications
    "Users  Guide for Survey Meter and Film   Badge Dosimetry Data
    Bases" a U.S. EPA publication EPA-60Q/4-81-03S   or
    DQE/DP/00539-041 May  1981.  Transfered to RIM 5.0 Type  Data Base
    Management System 1982.  Project Update to RIM 5.2  by Mar. 1983.
(NUS)  dumber of  regular  users of data base: 10
(USR)  Current regular users of data base:  EPA laboratories-EMSL-Las
    Vegas
    Other federal agencies
    States and local agencies
(CNF)  Confidentiality of data and limits on access:  Ho limits on
    access to data
(DLC)  Primary physical location of data: Other  federal agency-Dept.  of
    Energy computer  systems in Las Vegas.
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: EPA hardware - DOE computer systems in  Las
    Vegas.
(CHG)  Direct charge for  non-EPA use: None
(OPDT)  Frequency of data base master file up-date: Other Ongoing as
    more data is  entered.
(CMP)  Completion of forms
    Gilbert D. Potter* OFC: SPA/E«SL-Las Vegas
    AD; P.O. Box  15027, Las Vegas, Nevada  89114
    PH: (702) 798-2316
(DF)  Date of form completion: 12-10-82
(CNN)  Contact name(s): Potter/G.D.
(COR)  Contact organization: Office of Monitoring and Technical Support
(ROR)  Responsible Organizations Office of Research and
    Development.Office of Monitoring Systems and Guality Assurance
                             472

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                             Accession No.   6301000106

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Fame of Data Base of  Model:  Utility  Simulation Model Data Base
(ACft)  Acronym of Data Base  or Model:  USM
(MED)  ^edia/Subject of Data Base or  Model: Emissions  Federal  Power
    Commission (FPC) form 67 ;0ther data sources:   National Week"
(ABS)  Abstract/Overview of  Data Base or Model:  The Utility Simulation
    Model Data Base is used  to describe the electric utlity industry so
    that we may simulate    it.   The  data base is  separated into the
    following     categories:  generating plant and system data/
    primary energy    source data/  economic data/  and environmental and
    regulatory data.
(CTC)  CONTACTS:  Subject matter    Andrea J. Van Horn/Stuart D.  Liroff
    (415);     Computer-relat
(DTP)  Type of data collection or monitoring:  Combination/Other
    literature searches
(STA)  Data Base  status: Operational/ongoing
(GRP)  Groups of  substances  represented in  Data Base: 7 criteria NAAQS
    ;15 metals
(NPP)  Son-pollutant parameters  included in the data base: Compliance
    data ;Cost/economic data ^Industry ^Location'.}Physical data ;
    Political subdivisions population demographics ^Production levels
    ;  extensive  data on fossil  fuel  characteristics
(DS)  Time period covered by data base: 01-01-75 TO 09-30-81
(TRH)  Termination of data collection: Not  anticipated
(FRQ)  Frequency  of data collection or sampling: daily
(NOB)  dumber of  observations in data base: 300000.(Estimated)
(NED  Estimated  annual increase of observations in data base:  30000.
(INF)  Data base  includes: Raw data/observations ;Summary aggregate
    observations  Reference  data/citations   Modeling Assumptions/  such
    as generic operation and maintenance rates
(NTS)  Total number of stations  or sources  covered in data base: 150
    (publications.)
(NCS)  So. stations or sources currently originating/contributing  data:
    50.
(NOF)  Kumber of  facilities  covered in data base (source monitoring): 35
    00.
(GEO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source  include:
    State ;County Coordinates centroid of  each county
(FAC)  Data elements identifying facility include: Plant facility  name
    ?Plant location ;Parent  corp name ;Federal Power Commission
(CDE)  Pollutant  identification  data  are: Uncoded
(LIM)  Limitation/variation  in data of which user  should be aware: Data
    base not based on laboratory analysis.
(DPS)  Data collect./anal, procedures conform to DRD guidelines: Samplin
    g plan documented ^Collection method documented ;Analysis method
    document
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision  and  accuracy estimates partially exist for
    parts of the  data base
(EDT)  Edittingj  Edit procedures used and documented.
(CBY)  Data collected by: Self reporting National  Electric Reliability


                             473

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                             Accession No.   6301000106     (cont)

    Councils reports ;   Local agency various local agencies ;State
    agency State EPA's, etc.  ; Regional office EPA offices ;EPA lab
    Industrial Environmental  Research Lab-Research  Triangle Park,  NC
    ;Qther federal agency Department of Energy ;    National Coal
    Association
(ABY)  Data analyzed by:  Contractor Teknekron Research, Inc,
(IDL)  Laboratory identification:  NO
(PR1)  Primary purpose of data collection:  Development of regulations
    or standards
(PR2)  Secondary purpose of data collection:  Risk assessment
(AUT)  Authorization for data collection:  No  statutory requirement:
    Data collection requirement is    Established under Integrated
    Technology Assessment program at EPA/  Office   of Research and
    Development.
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs  of data base: Printouts on
    request
    Microfilm
    Machine-readable ra« data
    On-line computer
(NUS)  Number of regular users of data base:  5 offices plus states
(USR)  Current regular users  of data base:  EPA headquarter offices
    Office of Research and Development/Office     of Energy, Minerals/
    and Industry/ Office of Air, Noise/ and Radiation
    EPA laboratories
    Other federal agencies
    States
    Department of Energy (DOE)
    Electric Power Research Institute (EPRI)
    private utilities
(CNF)  Confidentiality of data and Halts on  access: Limits on outside
    access for some data
(DLC)  Primary physical location of data:  Laurence Berkeley Lab
    Computer Facilities
(DS?)  Form of data storage:  Magnetic tape  ;Magnetic disc
    >Microfich/film ^Original form (hardcopy/ readings)
(DAC)  Type of data access: Utility Simulation Model
(CHG)  Direct charge for non-EPA uses yes
(UPDT)  Frequency of data base master file  up-date: Weekly
(ODB)  Other pertinent non-EPA data bases:  Teknekron Research/ Inc*
    unit-by-unit (existing and planned) data  base on  electricity
    generation facilities.
(CMP)  Completion of form:
    Edward H. Peckon
    OFC: E.H. Peckon and Associates, Inc.
    AD: 5537 Hempsted Way, Springfield/ VA  22151
    PH; (703) 642-1120
(DF)  Date of form completion: 10-22-80
(NMAT)  Number of substances  represented in data  base: 31
(KCAS)  Number of CAS registry numbers in data base: 28
                             474

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                             Accession No.   6301000106                       magnesiuai
    arsenic<7440-38-2>                   manganese<7439-96-5>
    barium<7440-39-3>                    mercury<7439-97-6>
    berylliura<7440-41-7>                 molybdenum and compounds
    boron corapounds<7440-42-8>              <7439-98-7>
    cadti5ium<7440-43-9>                   nicJeel<7440-02-0>
    calcium                              nitrogen dioxide<10102-44-0>
    carbon monoxide<630-08-0>            seleniura<7782-49-2>
    chlorine<7782-50-5>                  silver<7440-22-4>
    chromium<7440-47-3>                  sodiua<7440-23-5>
    cobalt<7440-48-4>                    sulfur dioxide<7446-09-5>
    copper<7440-50-8>                    titaniun<7440-32-6>
    fluorine<7782-41-4>                  total suspended particulates
    hydrocarbons                         uranium<7440-61-l>
    iron<7439-89-6>                      vanadiun<7440-62-2>
    leac<7439-92-l>                      zinc<7440-66-6>
(CAS)   CAS registry numbers of substances included in data base: 7440-36
    -0; 7440^38-2; 7440-39-3; 7440-41-7;   7440-42-8; 7440-43-9;
    630-08-0; 7782-50-5; 7440-47-3; 7440-48-4;      7440-50-8;
    7782-41-4; 7439-89-6; 7439-92-1; 7439-96-5; 7439-97-6;
    7439-98-7; 7440-02-0; 10102-44-0; 7782-49-2; 7440-22-4; 7440-23-5;
    7446-09-5; 7440-32-6; 7440-61-1; 7440-62-2-; 7440-66-6
(CNM)   Contact name(s): Hom,A.J. ;    Nells/M.  ;    Soith^L.
(ROR)   Responsible Organization: Office of Research and Development.
                             475

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                             Accession No.   6301000109

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Strategic  Environment Assessment
    System-Residuals  Generation Module
(ACR)  Acronym of Data Base  or Model:  SEAS-RES
(MED)  Media/Subject of Data Base or Model:  Solid waste ;Qther No
    specific media:  data are industry emission factors for  a  number
    of pollutants
(ABS)  Abstract/Overview of  Data Base  or Model:  The SSAS-RESGEN  Data
    base contains national and   state average  emissions factors for a
    number of air/ water  and solid waste residuals from stationary/
    mobile/     point/ and non-point sources.  These data are derived
    from  sources and are most complete for  the criteria air
    conventional water/ and  pollution  control related solid      waste
    pollutants.  The data base is expanding  to  include     many more
    toxics and hazardous wastes.  The  data base  is designed for use
    with the strategic Environmental   Assessment System (SEAS).
(CTC)  CONTACTS: Subject matter   B. Price   (703) 827-6032  j
    Computer-related  Rai Shah  (
(DTP)  Type of data collection or monitoring: Combination/Other
    literature surveys
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in Data Base: 7 criteria NAAQS
    }11 conventional water
(JiPP).  Non-pollutant parameters included in  the data base: Cost/economic
    data ;Geographic subdivision ;Industry ;Population  density ;
    Precipitation production levels
(DS)  Time period covered by data base: 01-01-72 TO 12-30-75
(TRM)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: as needed
(NOB)  Number of observations in data  base:  100000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: (Unknown.
(INF)  Data base includes: Reference data/citations
(NTS)  Total number of stations or sources covered in data base: (N/A.)
(NCS)  $o. stations or sources currently originating/contributing  data:
    (N/A.)
(NOF)  Number of facilities  covered in data  base (source monitoring): (H
    /A.)
(GEO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source include:
    State ;county ;AQCR
(CDS)  Pollutant identification data are: Other coding  scheme
(LIM)  Limitation/variation  in data of which user should be  aware:  The
    quality and scope of the data are    variable.  The  user  should
  .  contact the Office of  Environmental Engineering and Technology
    before   making use of the data.
(ANL)  Lab analysis based on EPA-approved or  accepted methods? NO
(ADD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision  and accuracy estimates exist but are not
    included in data base.   Edit Data are generally checked for
    consistency when encoded.
(CBY)  Data collected by: Contractor The Mitre  Corporation
(ABY)  Data analyzed by: Contractor The Mitre Corporation


                             476

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                             Accession No.   6301000109     (cont)

(IDL)  Laboratory Identification:  NO
(PR1)  Primary purpose of data collection:  Trend assessment
(PR2)  Secondary purpose of data collection:  Anticipatory/research
(AUT)  Authorization for data collection:  No  statutory requirement:
    Data collection requirement is    to support Agency planning
    efforts.
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs  of data base:  Printouts on
    request
(NUS)  Number of regular users of data base:  5
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Research and Development: Office   of Environmental
    Engineering and Technology and Office  of  Strategic   Assessment  and
    Special Studies
    EPA laboratories
    Other federal agencies
(CNF)  Confidentiality of data and limits  on  access: No limits on
    access to data
(DLC)  Primary physical location of data:  MCC/IBM
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software Strategic Environmental
    Assessment System (SEAS)     MIDS:6301000102 ?EPA hardware IBM
    370/168
(CHG)  Direct charge for non-SPA use: no
(UPDT)  Frequency of data base master file up-date: Other Continous
    update
(RSS)  Related EPA automated systems which use data base: Strategic
    Environmental Assessment System (SEAS)
(RDBEPA)  Related EPA data bases used in conjunction with this data  base
    Other SEAS data bases/ ftP-42, Effluent  Limitations Guidelines
    Documents
(CMP)  Completion of form:
    Thomas Wolfinger
    OFC: The Mitre Corporation
    AD: 1820 Dolley Madison Blvd.  McLean,  VA  22102
    PH: (703) 827-6000
(DF)  Date of form completion: 09-09-80
(NMAT)  Number of substances represented in data base: 13
(NCAS)  Number of CAS registry nurcbers in  data base: 6
(MAT)  Substances represented in data base:
    carbon monoxide<630-08-0>            oil  and grease
    dissolved oxygen                     oxygen demand
    dissolved solids                     phosphorus<7723-14-0>
    hydrocarbons                         sulfur dioxide<7446-09-5>
    lead<7439-92-l>                      suspended solids
    nitrogen dioxicle<10102-44-0>         total suspended particulates
    nitrogen<7727-37-9>
(CAS)  CAS registry numbers of substances  included in data  base: 630-08-
    0; 7439-92-1; 10102-44-0; 7727-37-9;   7723-14-0; 7446-09-5
(CNM)  Contact name(s): Price,B.  •/    Shah,R.   ;    Coleman,J.
(ROR)  Responsible Organization: Office of Research and Development.


                             477

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Accession Ho.  6301000109     (cent)
478

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                             Accession  No.   6301000110

(DQ)   Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Strategic Environment  Assessment
    System-  non-pollutant data bases
(ACR)  Acronym of Data Base  or  Model: SSAS-OTH
(MSD)  Nedia/Subject of Data Base or  Model:  No  specific media  economic,
    regulatory/ demographic/ and energy data
(ABS)  JSbstract/Qverview of  Data Base or Model:  The S2AS  non-pollutant
    data bases contain    a  wide variety of  information including
    historic  economic data  for counties by  industry,  energy supply
    and demand and conversion data,  data on  past electric  power
    generation/ interpretations of published State    Implementation
    Plan regulations/ and etc.
(CTC)  CONTACTS:  Subject matter   B.  Price   (703)827-6032   ;
    Computer-related  R. Shah  (3
(DTP)  Type of data collection  or monitoring: Coobination/Other
    research and reference and  literature surveys
(STA)  Data Base status: Operational/ongoing
(NPP)  f'on-pollutant parameters included in  the data base:  Cost/economic
    data ^Geographic subdivision ;industry ;Population density  ;
    Precipitation production levels  ;£nergy supply and demand
    ;Economic input/output Flows
(DS)   Time period covered by data base: 01-01-72 TO 12-30-75
(TRM)  Termination of data collection:  Not anticipated
(FRQ)  Frequency of data collection or  sampling: as needed
(NOB)  Number of observations in data base:  1000000.(Estimated)
(NEI)  Estimated annual increase of observations in data base:  (unknown.
(INF)  Data base includes: Reference  data/citations
(NTS)  Total number of stations or sources covered  in data  base:  (N/A.)
(NCS)  ?o. stations or sources  currently originating/contributing  data:
    (N/A.)
(NQF)  Number of facilities  covered in  data  base (source monitoring):  (N
    /A.)
(GSO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source  include:
    State jcounty JAGCR
(FAC)  Data elements identifying facility include:  Plant facility  name
    ??lcnt location ^Parent  corp name ^Parent corp  location j     Street
    address >SIC code
(LlM)  Limitation/variation  in  data of  which user should be avare: The
    data are in many instances  adjusted to  reflect  conditions  in a base
    year of 1972 (economic)      or 1975 (energy).
(ANL)  Lab analysis based on EPA-approved or accepted methods?  NO
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision  and accuracy estimates  exist but are  not
    Included in data base.   Edit Consistency checks are made  when data
    are derived.
(CBY)  Data collected by: Contractor  The Mitre Corporation
(ABY)  Data analyzed by: Contractor The Mitre Corporation
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data  collection: Trend assessment
(PR2)  Secondary purpose of  data collection: Anticipatory/research
(AUT)  Authorization for data collection: Mo statutory requirement:
        Preceding page blank
479

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                             Accession No.   6301000110      (cont)

    Data collection requirement is    to support Agency planning
    efforts.
(OMB)  Data collected/submitted using OMB-approved EPA  reporting  forms:
    QQ
(R5P)  Form of available reports and outputs of data base:  Printouts  on
    request
(NUS)  lumber of regular users of data base: 5
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Research and Development: Office    of Environmental
    Engineering and Technology and Office of Strategic    Assessment and
    Special Studies
    EPA laboratories
    Other federal agencies
(CNF)  Confidentiality of data and Units on access: Limits on  access
    within EPA and outside agency for some   data
(DLC)  Primary physical location of data: NCC/IBM
COST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software Strategic Environmental
    Assessment System (SEAS)     MIDS:6301000102 ;EPA hardware  IBM  370
(CH{J)  Direct charge for non-EPA use: no
(UPOT)  Frequency of data base master file  up-date: Other As needed
(RSS)  Related EPA automated systems which  use data base: Strategic
    Environmental  Assessment System (SEAS)
(RD8EPA)  Related EPA data bases used in conjunction with this  data base
    Strategic Environmental  Assessment System Residual Generation
    Module Data base D6301000109
(RDB)  Non-EPA data bases used in conjunction yith this data base:  MFBI/
    GURF, and many     others from Department of Energy
(CMP)  Completion of form:
    Thomas Wolfinger
    OFC: The Mitre Corporation
    AD: 1820 Dolley Madison Blvd. McLean, VA 22102
    PH: (703)827-6000
(DF)  Date of form completion: 09-10-80
(CNM)  Contact name(s): Price^B-  ;    Shah,R.   ;   ColemanrJ.
(RQR)  Responsible Organization: Office of  Research and Development.
                             480

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                             Accession  Ho.   6301000113

(DQ)   Date of Questionaire:  12-02-82
(NAM}  Name of Data Base of  Model:  Collection of  Emissions,
    Meteorological and Air Quality  Data for  Regional  Studies
(ACR)  Acronym of Data Base  or  Model:  None
(MED)  Media/Subject of Data Base or Model:  Air ^Emissions  point,  area
(ABS)  Abstract/Overview of  Data Base  or Model: The emissions  portion
    of the data base includes special  regional inventories  developed by
    the Electric Power Research Institute (EPRI)  and  the Department of
    Energy (DOE) as veil as  emission projections  front   Teknekron/
    Inc.'s Utility Simulation Model (USM).   The air quality data
    Includes measurements from both the National  Air Sampling  Network
    (NASN)   and 54 special  point source networks such as the  American
    Electric Power   (AEP) and the  Tennessee Valley Authority  (TVA).
    The meteorological data  on     hand represents a large  fraction of
    the data available through the  National      Climatic Center*
(CTC)  CONTACTS: Subject matter  Dr.  Michael Mills  (617)  890-6270
    ;     Computer-related  D
(DTP)  Type of data collection or monitoring: Combination/Other point
    and area
(STA)  Data Base status: Operational/ongoing
(GRP)  Croups of substances  represented in Data Base: 7 criteria  NAAQS
(KPP)  Non-pollutant parameters Included in  the data base:  Precipitation
    /Temperature ;Wind direction /Mind  velocity ;0pper air  data /
    Precipitation chemistry  (Canadian)
(DS)   Time period covered by data base: 01-01-76  TO 02-30-81
(TRM)  Termination of data collection:  Not anticipated
(FRQ)  Frequency of data collection or  sampling:  as needed
(SOB)  Number of observations in data  base:  10000000 or
    more.(Estimated)
(NSI)  Estimated annual increase of observations  in data base: 0.
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or  sources covered in data  base:  2000*
(NCS)  No. stations or sources currently originating/contributing data:
    54.
(NQF)  J'umber of facilities  covered in  data  base  (source monitoring):  54
    *
(GEQ)  Geographic coverage of data  base: Geographic region  Eastern
    U.S./ Ohio River Basin,  Tennessee/  and   Alabama
(LOC)  Data elements identifying location of station or source include:
    State ;County ;City
(FAC)  Data elements identifying facility Include: Plant facility name
    ;Plant location
(CDS)  Pollutant Identification data are: Saroad  parameter
(LlM)  Limitation/variation in data of  which user should be aware:  Data
    has a uide range of format and  time coverage*     Really more of a
    data collection or archive than a  data base.     Teknekron  did not
    do actual data collection/  only assembled already collected data.
    Quality assurance is not applicable.
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit is satisfactory  for 50%.
(PRE)  Precision: Precision and accuracy estimates exist but are  not
    included in data base    Edit Checks for some of the point source


                             481

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                             Accession No.   6301000113      (cont)

    monitoring data.
(CBY)  Data collected by:  Contractor Teknekron Research/  Inc.  ;EPA
    headquarters Office of Research and Dev
(ABY)  Data analyzed  by:  Contractor Teknekron Research/ Inc.
(IDL)  Laboratory identification:  NO
(PR1)  Primary purpose of data collection:  Special study
(AUT)  Authorization  for  data collection:  Statutory authorization  is P
    L 38 206 as amended/  Section 114 (CAA)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(RSP)  Form of available  reports and outputs of data base:  Machine-reada
    ble raw data
(NUS)  dumber of regular  users of data base: 15
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Research and Development
    EPA regional offices
    SPA laboratories
    Other federal agencies
    States
    Region Y
(CNF)  Confidentiality of data and limits  on access: No limits on
    access to data
(DLC)  Primary physical location of data:  Contractor
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: Commercial software Statistical Analysis
    System (SAS)
(CHG)  Direct charge  for  non-EPA use: yes
(UPDT)  Frequency of  data base master file  up-date: Other as project
    requirements dictate
(RSS)  Related EPA automated systems which  use data base: UNAMAP-Air
    Pollution Modeling System
(ROSEPA)  Related SPA data bases used in conjunction with this data base
    Aerometric and Emissions Reporting System (AEROS)/      national
    Emissions Data System (NEDS)/ Storage  and Retrieval of  Aeronetrlc
    Data (SAROAD)
(RDB)  tfon-EPA data bases used in conjunction with this data base: SEAS
    (DQF)
(CMP)  Completion of  form:
    Michael T. Mills
    OFC: Teknekron Research/ Jnc.
    AD: 69 Hickory Drive/ Waltham/ MA 02154
    PH: (617) 890-6270
(DF)  Date of form completion: 01-16-81
(NMAT)  Number of substances represented in data base:  6
(NCAS)  Number of CAS registry numbers in  data base: 5
(MAT)  Substances represented in data base:
    carbon monoxide<630-08-0>            ozone
    lead<7439-92-l>                      sulfur dioxide<7446-09-5>
    nitrogen dioxide<10102-44-0>         total suspended particulates
(CAS)  CAS registry numbers of substances  included in data  base: 630-08-
    0; 7439-92-1; 10102-44-0; 10028-15-6;        7446-09-5
(CNM)  Contact name(s): Mills,M.  ;    Hergert/D.


                             482

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                             Accession No.   6301000113     (cont)
(ROR)  Responsible Organization:  Office of  Research and Development.
                             483

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                             Accession Ho.   6302000103

(CQ)  Date of Questionaire: 12-02-82
(NAM)  Kame of Data Base of Model:  Flue Gas Desulfurizatlon  Information
    System
(ACR)  Acronym of Data Base or Model:  FGDIS
(MED)  Media/Subject of Data Base or Model: Air  ;Emissions   Fossil
    fired utility boilers ;Solid waste
(ABS)  JSbstract/Overviau of Data Base  or Model:  The data base  contains
    information describing     and identifying utility  fossil  fired
    boilers and their associated flue  gas desulfurization  (FGD)
    systems.   It also contains design  and performance data on  the FGD
    systems,  design and actual removal, some information   on  waste
    products  or by-products of the systems,  dates  of FGD  operation  and
    projected start-up dates,   and FGD system vendors.
(CfC)  CONTACTS: Subject matter   Norman Kaplan  (919)541-2556;
    Computer-related Michael Melia (513)782-4677; EPA Office    Norman
    Kaplan (919)541-2556
(DTP)  Type of data collection or monitoring: Point source data
    collection Utility boilers
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances represented in Data  Base: 7 criteria NAAQS
(NPP)  Kon-pollutant parameters included in the  data base: Chemical
    data ;Collection method /Concentration measures ^Discharge points ;
    Flow rates ;Industry ;Location ;Sampling data ;Site description  ;
    Temperature ;Test/analysis method  ^Treatment devices ;Volume/mass
    measures  ;    Dates of operation ^Projected  dates of operation
    ;Categorization of flue gas desulfurization  proces  Process
    suppliers ;Flue gas desulfurization dependability ;Flue  gas
    desulfurization design data ;  Flue gas desulfurization sulfur
    dioxide removal data ;Flue gas desulfurization  system  component  par
    Flue gas  desulfurization space capacity

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                             Accession No.   6302000103
(cont)
    data is not obtained by original     observation;  it is obtained by
    an EPA Contractor from  utilities,  equipment suppliers,  and others
    on a   voluntary basis.  Much of  the data is estimated.
(DPR)  Data collect./anal, procedures conform to ORD  guidelines:  Samplin
    g plan documented ;Collection method documented ^Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? SO
(AUD)  Lab Audit:  Data not based on lab analysis.
(PRE)  Precision:  Precision and accuracy estimates are not available
    Edit Contractor performs logical  checks to insure internal accuracy
    on a   monthly basis.
(CBY)  Data collected by: Contractor  PEDCO, Inc. ;Other federal
    agency-Environmental Protection Agency
(ABY)  Data analyzed by: EPA lab Industrial Environmental Research
    Laboratory-RTP
    Contractor P5DCO, Inc.
(IDL)  Laboratory identification: NO
(AUT)  Authorization for data collection: Statutory authorization is P
    L 98-206 Section 114 (The Clean Air Act of     1963 as amended)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and  outputs of data  base: Publications
    EPA Utility Flue Gas Desulfurization Survey    (Quarterly) EPA
    600/7-Series
    Printouts on request
    Machine-readable raw data
    On-line computer
(NUS)  Number of regular users of data  base: 1300
(USR)  Current regular users of data  base: EPA headquarter offices/
    Office of Air Quality    Planning and Standards,  Stationary Source
    Compliance Division, FGD    system  vendors and designers, reagent
    suppliers,#  EPA regional offices^     EPA laboratoriesf    States
(CNF)  Confidentiality of data and limits on access:  No limits on
    access to data
(DLC)  Primary physical location of data: NCC/ONItfAC
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: Commercial  software System 2000  JEPA
    hardware Univac 1110
(CHG)  Direct charge for non-EPA use: Yes, system currently  being
    implemented with  National Technical Information  Ser
(UPDT)  Frequency of data base master file up-date: Other continuously
(CMP)  Completion of form:
    Norman Kaplan
    OFC: Industrial Environmental Research Laboratory-RTP
    AD: MD-61  RTP,NC 27711
    PH: (919)541-2556
(DF)  Date of form completion: 01-28-83
(NMAT)  Number of substances represented in data base: 4
(NCAS)  Number of CAS registry numbers  in data base:  2
                             485

-------
                             Accession No.   6302000103      (cont)

(MAT)  Substances represented in data base:
    flue gas dssulfurization             sulfur dioxide<7446-09-5>
       waste                             total suspended particulates
    nitrogen dioxlde<10102-44-0>

-------
                             Accession  No.   6302000108

(DQ)   Dete of Questionaire:  12-02-82
(NAM)  Waroe of Data Base of Model:  Liquid Effluents Data  System
(ACR)  Acronym of Data Base or Model:  LEDS
(MED)  Media/Subject of Data Base or'Model:  Effluents All industries,
    point sources ;      Runoff All industries  (coal piles/  ore  piles/
    etc.)
(A8S)  Abstract/Overview of Data Base  or  Model:  LEDS contains
    measurements  of liquid effluent     streams  front stationary
    industrial and energy processes.     Data may include  source/process
    characterization/ treatment technology  design and operating
    paremeters/  description of the sampling activity/  fuel  or feed
    material analysis results/ and the  results  of    chemical,
    biological, radiological/ and physical   analyses performed on  the
    collected sample.  The LEDS  is part  of the  Environmental
    Assessment Data Systems   (EADS).
(CTC)  CONTACTS:  Subject matter   Gary  L. Johnson  (919)541-7612;
    Computer-related F. Nichols Young  (919) 549-6915? EPA Office
    Gary L. Johnson (919) 541-7612
(DTP)  Type of data collection or monitoring: Point source data
    collection All industries
(STA)  Data Base  status: Operational/ongoing
(GRP)  croups of  substances represented in  Data  Base: 129 307 C«A  ;11
    conventional  water >41 CWA potential  criteria >  9 potential
    drinking water ?299 hazardous substances ?15 Betals
(HPP)  Non-pollutant parameters included  in the  data base: Biological
    data ;chemical data ;Collection method  >Concentration measures }
    Discharge points ;Flow rates ;lndustry  ;Locatiou ;Sampling data  ;
    Site description ;Temperature ;Test/analysis method ^Treatment
    devices /   Volume/mass measures
(DS)   Time period covered by data base: 01-01-80 to 12-31-82
(TRM)  Termination of data collection:  Not  anticipated
(FRQ)  Frequency  of data collection or  sampling: serai annually ;Qther
    As data are submitted
(NOB)  Rurcber of  observations in data  base: 452.(Actual)
(NEI)  Estimated  annual increase of observations in data  base: 100.
(IMF)  Data base  includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data base: 180.
(NCS)  No. stations or sources currently  originating/contributing  data:
    0.
(NOF)  Number of facilities covered in  data base (source  monitoring):  18
    0.                                             ,
(GEQ)  Geographic coverage of data base:  National
(LOC)  Data elements Identifying location of station or source include:
    State /City ;Tohn/tounship ^Street  address  ^Coordinates  Latitude
    and Longitude/  Country
(FAC)  Data elements identifying facility include: Plant  facility  name
    ;Plsnt location ;SIC code ^Program  identifier
CODE)  Pollutant  identification data  are: CAS registry  number
    Other coding  scheme
(LIM)  Limitation/variation in data of  which user should  be  auare: Confi
    dentiality requirements may often limit location information
    disclosure.


                             487

-------
                             Accession No.   6302000108      (cont)

(DPR)  Data collect./anal,  procedures conform to  ORD  guidelines: Collect
    ion method documented ;Analysis method  documented
(ANL)  Lab analysis based on EPA-approved or accepted methods?  YES
(PRE)  Precision:  Precision and accuracy estimates  exist but  are not
    included in data base*
(EOT)  Editting:  Edit procedures used but undocumented.
(CBY)  Data collected by: EPA lab IERL/RTP,  IERL/CIH, MERL/CIH, RSKERL
    ;     Contractor lab Several involved;  Acurex;  EPA headquarters
    Office of   Water Regulation and Standards
(ABY)  Data analyzed by: EPA lab Municipal  Municipal  Environmental
    Research Lab-Cincin.; Industrial Environmental  Research Labs-RTP  &
    Cincir..
    Contractor lab Several  involved
    Contractor Hapora; Acurex
    EPA headquarters Office of Mater Regulations  and  Standards
UDL)  Laboratory identification: YES
(AUT)  Authorization for data collection: Ho statutory requirement:
    Data collection requirement is    for purposes  of general research
    and development
(OMB)  Data collected/submitted using OH3-approved  EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data  base:  Publications
    Treatability Manual LSDS User Guide  (SPA-600/8-80-008, Jan. 1980)
    Printouts on request
    Machine-readable raw data
    On-line computer
(NUS)  Number of regular users of data base:  10
(USR)  Current regular users of data base:  EPA headquarter  offices/
    Office of Water     Regulations and Standards/  Office of  Mater
    Enforcement
    EPA laboratories
    Contractors
(CNF)  Confidentiality of data and limits on access:  Limits on  access
    within EPA and outside  agency for some   data.
(DLC)  Primary physical location of data: NCC/UNIVAC
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software Environmental Assessment Data
    System (System  2000)  MIDS:630200010 EPA hardware Univac 1100/82
(CHG)  Direct charge for non-EPA use: So
(UPDT)  Frequency of data base master file  up-date: Other As  needed
(RSS)  Related EPA automated systems which  use data base: None
(RDBEPA)  Related EPA data  bases used in conjunction  with this  data  base
    Environmental Assessment Data Systems (BADS)  -    FPEIS,  GEDS,  and
  '  SDDS
(CMP)  Completion of form:
    Gary L. Johnson
    OFC: Industrial Environmental Research  Laboratory
    AD: MD-62  RTP,KC 27711
    PH: (919)541-7612
(DF)  Date of form completion: 01-28-83
(NMAT)  Number of substances represented in data  base: 172
(NCAS)  Number of CAS registry numbers in data base:  172


                             483

-------
                         Accession No.  6302000108
                                                           (cont)
(MAT)
    If

    I,
    l,
    I/
    l
  I fit 2- te tr achloroethane<79-34-5>
  l(f2-trlchloroethane<79-00-5>
  l-dichloroethane<75-34-3>
  l-dichloroethylene<75-35-4>
  2,4,-trichlorobenzene<120-82-l>
  2-dichlorobenzene< 95-50-l>
  2-dichloroethane<107-06-2>
  2-dichloropropane<78-87-5>
  2-diphenylhydrazine<122-66-7>
  2-trans-dichloroethy lene
   <156-60-5>
  3-dichlorobenzena<541-73-l>
  3-dichloropropylene<542~75-6>
  4-dichlorobenzene<106-46-7>
  2-dichloropropionic acid
   <75-99-0>
  4,5-t amines
  4^5-t esters
  4,5-t salts
  4^5-tp acid esters
  4,5-trichlorophenoxyacetic acid
   (T)<93-76-5>
  4/5-trichlorophenoxypropionic
   acid (TPX93-72-l>
  4/6-trichlorophenol<88-06-2>
  4/7/8-tetrachlorodibenzo-p-
   cioxin (tcdd)
  4-d acid<94-75-7>
  4-d esters
  4-dichlorophenol
  4-dimethylphenol<105-67-9>
  4-dinitrophenol<51-28-5>
2y6-dinltrotoluene<606-20-2>
2-chloroethylvinyl ether<110-75-8>
2-chloronaphthalene<91-58-7>
2-chlorophenol<95-57-8>
2-nitrophenol<88-75-5>
3/3*-dichlorobenzidine<91-94-l>
3,4-benzofluoranthene<205-99-2>
4,4'-ddd(p/p*tde)<72-54-8>
4/4--dde(p/p'-ddx)<72-55-9>
4,4'-ddt<50-29-3>
4, 6-dinitro-o-cresol<534-52-l>
4-bromophenyl phenyl ether
   <101-55-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol< 100-02-7>
base:
   acenaphthene<83-32-9>
   acenaphthylene<208-96-8>
   acetaldehyde<75-07-0>
   acetic acid<64-19-7>
   acetic anhydride<108-24-7>
   acetone cyanohydrin<75-86-5>
   acetone<67-64-l>
   acetyl bromide<506-96-7>
   acetyl chloride<75-36-5>
   acidity
   acrolein<107-02-8>
   acrylonitrile<107-13-l>
   adipic acid<124-04-9>
   aldrin<3C9-00-2>
   alkalinity
   allyl alcohol<107-18-6>
   allyl chloride<107-05-l>
   aluminum sulfate<10043-01-3>
   aluminun<7429-90-5>
   amraonia<7664-41-7>
   aramoniura acetate<631-61-8>
   ammonium benzoate<1863-63-4>
   ammonium bicarbonate<1066-33-7>
   ammonium bichromate<7789-09-5>
   afflffloniuw bifluoride<1341-49-7>
   ammonium bisulfite<10192-30-0>
   anuaonium carbaraate
   ammonium carbonate<506-87-6>
   ammonium chloride<12125-02-9>
   amroonium chromate<7788-98-9>
   ammonium citrate<7632-50-0>
   ammonium f luoborate<13826-83-0>
   ammonium f luoride<12125-01-8>
   ammonium hydroxide<1336-21-6>
   ammonium oxalate<1113-38-8>
   ammonium silicof luoride
      <16919-19-0>
   ammonium sulfamate<7773-06-0>
   ammonium sulf ide<12135-76-l>
   ammonium sulf ite<10196-04-0>
   ammonium tartrate<3164-29-2>
   ammonium thiocyanate<1762-95-4>
   ammonium thiosulf ate<7783-18-8>
   amyl acetate<628-63-7>
   aniline<62-53-3>
   anthracene<120-12-7>
   antimony pentachloride<7647-18-9>
   antimony potassium tartrate
                                         antimony tribromide<7789-61-9>
                                         antimony trichloride<10025-91-9>
                         489

-------
                         Accession No.  6302000108
                  (cont)
antimony trifluorlde<7783-56-4>
antimony trioxide<1309-64-4>
antimony<744Q-36-0>
arsenic disulf ide<1303-32-8>
arsenic pe«toxide<1303-28-2>
arsenic trichloride<7784-34-l>
arsenic trioxide<1327-53-3>
arsenic trisulf ide<1303-33-9>
ars£nic<7440-38-2>
asbestos<1332-21-4>
barium cyanide<542-62-l>
bariuiD<7440-39-3>
benzene<71-43-2>
benzidine<92-67-5>
benzo(a)anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
benzo(g,h,i)perylene<191-24-2>
benzo(k)fluoranthene<207-08-9>
benzoic acid<65-85-0>
benzonitrile<100-47-0>
benzoyl chloride<98-88-4>
benzyl chloride<100-44-7>
beryllium chloride<7787-47-5>
beryllium fluoride<7787-49-7>
beryllium nitrate<13597-99-4>
beryllium<7440-41-7>
bhc (lindane)-gamma<58-89-9>
bhc-alpha< 31 9-84-6>
bhc-beta<3!9-85-7>
bhc-delta<3!9-86-8>
biphenyl<92-52-4>
bis (2-chloroethoxy) methane
bis(2-chloroethyl)ether
bis(2-chloroisopropyl) ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis(chlororaethyl)ether<542-88-l>
bismuth compounds<7440-69-9>
boron corapounds<7440-42-8>
broieine<7726-95-6>
brpmomethane<74-83-9>
butyl acetate<123-86-4>
butyl benzyl phthalate<85-68-7>
butylanjine<109-73-9>
butyric acid<107-92-6>
cadmium acetate<543-90-8>
cadmium broraide<7789-42-6>
cadmium chloride
cadffiiunK7440-43-9>
calcium arsenate<7778-44-l>
calcium arsenite<52740-16-6>
calcium carbide<75-20-7>
calcium chromate<13765-19-0>
calcium cyanide<592-01-8>
calcium dodecylbenzenesulfonate
   <26264-06-2>
calcium hydroxide<1305-62-0>
calcium hypochlorite<7778-54-3>
calcium oxide<1305-78-8>
captan<133-06-2>
carbaryl<63-25-2>
carbofuran<1563-66-2>
carbon disulfide<75-15-0>
carbon tetrachloride<56-23-5>
chlordane<57-74-9>
chlorine<7782-50-5>
chlorobenzene<108-90-7>
chlorodibromomethane<124-48-l>
chloroethane<75-00-3>
chloroform<67-66-3>
chloromethane<74-87-3>
chlorosulfonic acid<7790-94-5>
chlorpyrifos<2921-88-2>
chromic acetate<1066-30-4>
chromic acid<7738-94-5>
chromic sulfate<10101-53-8>
chromium<7440-47-3>
chromous chloride<10049-05-5>
chrysene<218-01-9>
cobalt<7440-48-4>
cobaltous bromide<7789-43-7>
cobaltous formate<544-18-3>
cobaltous sulfamate<14017-41-5>
copper<7440-50-8>
coumaphos<56-72-4>
cresol<1319-77-3>
crotonaldehyde<4170-30-3>
cupric acetate<142-71-2>
cupric acetoarsenite<12002-03-8>
cupric chloride<7447-39-4>
cupric nitrate<3251-23-8>
cupric oxalate<8l4-91-5>
cupric sulfate ammoniated
   <10380-29-7>
cupric sulfate<7758-98-7>
cupric tartrate<815-82-7>
cyanide<57-12-5>
cyanogen chloride<506-77-4>
cyclohexane<110-82-7>
ddt
demeton<8065-48-3>
di-n-butyl phthalate<84-74-2>
                         490

-------
                         Accession No.  6302000103
                  (cont)
di-r-octyl phthalate<117-84-0>
dialkyl ethers
d!azlnon<333-41-5>
dibenzo(a, h) anthracene<53-70-3>
dibenzofuran<132-64-9>
dicaraba<1918-00-9>
dichlobenil<1194-65-6>
dichlone
dichlorobenzene<25321-22-6>
dichlorobromomethane<75-27-4>
dichlorodifluorowethane<75-71-8>
di cMo rome thane< 75-0 9-2>
dichloropropane<26638-19-7>
dichloropropene-dichloropropane
   mixture
dichloropropene<26952-23-8>
dichlorvos (ddvp)<62-73-7>
dieldrin<60-57-l>
diethyl phthalate<84-66-2>
diethylamine<109-89-7>
dimethyl phthalate<131-ll-3>
diroethylaraine<124-40-3>
dinitrobenzene<25154-54-5>
dinitrophenol
dinitrotoluene<25321-14-6>
diphenyl ether
diquat<2764-72-9>
dissolved oxygen
dissolved solids
disulfoton<298-04-4>
diuron<330-54-l>
dodecylbenzenesulfonic acid
   <27l76-87-0>
edta<60-00-4>
endosulfan sulfate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endosulfan<115-29-7>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
epichlorohydrin<106-89-8>
ethion<563-12-2>
ethylbenzene<100-41-4>
ethylene dibroraide {edb)
ethylene dichloride<107-06-2>
ethylenediamine<107-15-3>
fecal coliforn
ferric ammonium citrate<1185-57-5>
ferric ammoniurc oxalate
   <14221-47-7>
ferric chloride<7705-08-0>
ferric fluoride<7783-50-8>
ferric nitrate<10421-48-4>
ferric sulfate<10028-22-5>
ferrous ammonium sulfate
   <10045-89-3>
ferrous chloride<7758-94-3>
ferrous sulfate<7720-78-7>
fluoranthene<206-44-0>
fluorene<86-73-7>
fluorides
formaIdehyde<50-00-0>
formic acid<64-18-6>
fuaaric acid<110-17-8>
furfural<98-01-l>
guthion<86-50-0>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene
hexachlorobutadiene<87-68-3>
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
hydrochloric acid<7647-01-0>
hydrofluoric acid<7664-39-3>
hydrogen cyanide<74-90-8>
hydrogen sulfide<7783-06-4>
indeno (l,2,3-cd)pyrene<193-39-5>
iron and compounds<7439-89-6>
iron<7439-89-6>
isophorone<78-59-l>
i sop r ene <7 8-7 9-5>
isopropanolaraine dodecylbenzene
   sulfonate<54590-52-2>
kelthane<115-32-2>
kepone<143-50-0>
lead acetate<301-04-2>
lead arsenate<3687-31-8>
lead chloride<7758-95-4>
lead fluoride<7783-46-2>
lead fluoroborate<13814-96-5>
lead iodide<10101-63-0>
lead nitrate<10099-74-8>
lead stearate<1072-35-l>
lead sulfate<7446-14-2>
lead sulflde<1314-87-0>
lead thiocyanate<592-87-0>
lead<7439-92-l>
lindane<58-89-9>
lithium and conpounds<7439-93-2>
lithium chro«ate<14307-35-8>
malathion<121-75-5>
maleic acid<110-16-7>
maleic anhydride<108-31-6>
nanganese<7439-96-5>
                         491

-------
                         Accession No.  6302000108
                  (cont)
raercaptodiraethur<2032-65-7>
mercuric cyanide<592-04-l>
mercuric nitrate
mercuric sulfate<7783-35-9>
mercuric thiocyanate<592-35-8>
mercurous nitrate<10415-75-5>
mercury<7439-97-6>
methoxychlor<72-43-5>
methyl ethyl ketone (mek)<78~93-3>
methyl mercaptan<74-93-l>
methyl methacrylate<80-62-6>
methyl parathion<298-00-0>
raevinphos<7786-34-7>
mexacarbate<315-18-4>
roirex<2385-85-5>
molybdenum and compounds
   <7439-98-7>
monoethylamine<75-04-7>
monomethylamine<74-89-5>
n-alkanes clO-c30
n-butyl phthalate<84-74-2>
n-nitrosodi-n-propylamine
   <621-64-7>
ri-fiitrosodiiaethylamine<62-75-9>
n-nitrosodiphenylamine<86-30-6>
naled<300-76-5>
naphthalene<91-20-3>
naphthenic acid<1338-24-5>
nickel ammonium sulfate<7785-20-8>
nickel chloride<7718-54-9>
nickel hydroxide<12054-48-7>
nickel nitrate<13138-45-9>
nickel sulfate<7786-81-4>
nickel<7440-02-0>
nitrates/nitrites
nitric acid<7697-37-2>
nitriloacetates
nitrobenzene<98-95-3>
nitrogen dioxide<10102-44-0>
nitrogen<7727-37-9>
nitrophenol<25154-55-6>
nitrotoluene
oil and grease
oxygen demand
p-chloro-m-cresoK 59-50-7>
paraforroaldehyde<30525-89-4>
parathion<56-38-2>
pcb-1016 (arochlor 1016}
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorophenol<87-86-5>
phenanthrene<85-01-8>
phenol<108-95-2>
phosgene<75-44-5>
phosphoric acid<7664-38-2>
phosphorus and compounds
   <7723-14-0>
phosphorus oxychloride<10025-87-3>
phosphorus pentasulf ide<1314-80-3>
phosphorus trichloride<7719-12-2>
phosphorus<7723-14-0>
polybrominated biphenyls (PBBs)
polychlorinated biphenyls (PCBs)
potassium arsenate<7784-41-0>
potassiun arsenite<10124-50-2>
potassium bichromate<7778-50-9>
potassium chronate<7789-00-6>
potassium cyanide<151-50-8>
potassium hydroxide<1310-58-3>
potassium permanganate<7722-64-7>
propargite<2312-35-8>
propionic acid<79-09-4>
propionic anhydride<123-62-6>
propylene oxide<75-56-9>
pyrene<129-00-0>
pyrethrin<121-29-9>
quinoline<91-22-5>
radon<10043-92-2>
resorcinol<108-46-3>
secondary amines
selenium oxide<12640-89-0>
selenium<77 82-49- 2>
silver nitrate<7761-88-8>
silver<7440-22-4>
sodium and compounds<7440-23-5>
sodium arsenate<7631-89-2>
sodium arsenite<7784-46-5>
sodium bichromate<10588-01-9>
sodium bifluoride<1333-83-l>
sodium bisul£ite<7631-90-5>
sodium chrofflate<7775-ll-3>
                         492

-------
                             Accession So.   6302000108
                  (cent)
    sodium cyanide<143-33-9>
    sodium dodecylbenzenesulfonate
       <25155-30-0>
    sodium f luoride<7681-49-4>
    sodium hydrosulfide<16721-80-5>
    sodium hydroxide<1310-73-2>
    sodium hypochlorlte<7681-52-9>
    sodium methylate<124-41-4>
    sodium nitrite<7632-00-0>
    sodium phosphate,  dibasic
       <7558-79-4>
    sodium phosphate,  tribasic
       <7601-54-9>
    sodium selenite<10l02-18-8>
    sodium<7440-23-5>
    strontium chromate<7789-06-2>
    strychine<57-24-9>
    styrene<100-42-5>
    sulfates
    sulfides
    sulfur monochloride<10025-67-9>
    sulfuric acid<7664-93-9>
    suspended solids
    tde<72-54-8>
    terpenes
    tetrachloroethylene<127-18-4>
    tetraethyl lead<78-00-2>
    tetraethyl pyrophosphate<107-49-3>
    thallium sulfate<7446-18-6>
    thailiuin<7440-28-0>
    toluene<108-88-3>
    toxaphene<8001-35-2>
    tribromomethane<75-25-2>
    trichlorfon<52-68-6>
    trichloroethylene<79-01-6>
    trichlorofluoromethane<75-69-4>
triethanolamine dodecylbenzenesul
   onate<27323-41-7>
triethylamine<121-44-8>
triraethylaaiine<75-50<-3>
uraniuo<7440-61-l>
uranyl acetate<541-09-3>
uranyl nitrate<10102-06-4>
vanadium pentoxide<1314-62-l>
vanadium<7440-62-2>
vanadyl sulfate<27774-13-6>
vinyl acetate<108-05-4>
vinyl chioride<75-01-4>
vinylidene chloride<75-35-4>
xylene<1330-20-7>
xylenol<1300~71-6>
zinc acetate<557-34-6>
zinc ammonium chloride
zinc borate<1332-07-6>
zinc bromide<7699-45-8>
zinc carbonate<3486-35-9>
zinc chloride<7646-85-7>
zinc cyanide<557-21-l>
zinc fluoride<7783-49-5>
zinc formate<557-41-5>
zinc hydrosulfite<7779-86-4>
zinc nltrate<7779-88-6>
zinc phenol sulfonate<127-82-2>
zinc phosphlde<1314-84-7>
zinc silicofluoride<16871-71-9>
zinc sulfate<7733-02-0>
zinc<7440-66-6>
zirconium nitrate<13746-89-9>
zirconium potassium fluoride
   <16923-95-8>
zirconium sulfate<14644-61-2>
zirconium tetrachloride
   <10026-ll-6>
    trichlorophenol 
(CAS)  CAS registry numbers of substances included in data base:  71-55-6
    ; 79-34-5;  79-00-5;  75-34-3;  75-35-4;       120-82-1; 95-50-1;
    107-06-2;  78-87-5;  122-66-7;  156-60-5;  541-73-1;   542-75-6;
    106-46-7;  75-99-0;  93-76-5; 93-72-1; 88-06-2; 94-75-7;
    120-83-2;  105-67-9;  51-28-5;  121-14-2;  606-20-2; 110-75-8? 91-58-7;
    95-57-8;  88-75-5; 91-94-1; 205-99-2; 72-54-8; 72-55-9; 50-29-3;
    534-52-1;  101-55-3;  7005-72-3;  100-02-7; 83-32-9; 208-96-8;
    75-07-0;        64-19-7; 108-24-7; 75-86-5; 67-64-1; 506-96-7;
    75-36-5;  107-02-8;      107-13-1;  124-04-9; 309-00-2; 107-18-6;
    107-05-1;  10043-01-3;     7429-90-5; 7664-41-7; 631-61-8; 1863-63-4;
    1066-33-7;  7789-09-5;       1341-49-7; 10192-30-0; 1111-78-0;
    506-87-6;  12125-02-9;  7788-98-9;     7632-50-0; 13826-83-0;
    12125-01-8; 1336-21-6; 1113-38-8; 16919-19-0;       7773-06-0;
    12135-76-1; 10196-04-0; 3164-29-2; 1762-95-4; 7783-18-8;
    628-63-7;  62-53-3;  120-12-7;  7647-18-9; 11071-15-1; 7789-61-9;
                             493

-------
                         Accession So.  6302000108     (cont)

10025-91-9; 7783-S6-4; 1309-64-4; 7440-36-0; 1303-32-8; 1303-28-2;
7784-34-1; 1327-53-3; 1303-33-9; 7440-38-2; 1332-21-4; 542-62-1;
7440-39-3; 71-43-2; 92-87-5; 56-55-3; 50-32-8; 191-24-2; 207-08-9;
65-85-0; 100-47-0; 98-88-4; 100-44-7; 7787-47-5; 7787-49-7;
135S7-99-4; 7440-41-7; 58-89-9; 319-84-6; 319-85-7; 319-86-8;
92-52-4; 111-91-1; 111-44-4; 39638-32-9; 117-81-7; 542-88-1;
7440-69-9; 7440-42-8; 7726-95-6; 74-83-9; 123-86-4; 85-68-7;
109-73-9; 107-92-6; 543-90-8; 7789-42-6; 7440-43-9; 7778-44-1;
52740-16-6; 75-20-7; 13765-19-0; 592-01-8; 26264-06-2; 1305-62-0;
7778-54-3; 1305-78-8; 133-06-2; 63-25-2; 1563-66-2; 75-15-0;
56-23-5;      57-74-9; 7782-50-5; 108-90-7; 124-48-1; 75-00-3;
67-66-3; 74-87-3;    7790-94-5; 2921-88-2; 1066-30-4; 7738-94-5;
10101-53-8; 7440-47-3;    10049-05-5; 218-01-9; 7440-48-4;
7789-43-7; 544-18-3; 14017-41-5;     7440-50-8; 56-72-4; 1319-77-3;
4170-30-3; 142-71-2; 12002-03-8;       7447-39-4; 3251-23-8;
814-91-5; 10380-29-7; 7758-98-7; 815-82-7;      57-12-5; 506-77-4;
110-82-7; 8065-48-3; 84-74-2; 117-84-0; 333-41-5;       53-70-3;
132-64-9; 1913-00-9; 1194-65-6; 117-30-6; 25321-22-6;   75-27-4;
75-71-8; 75-09-2; 26638-19-7; 26952-23-8; 62-73-7; 60-57-1;
84-66-2; 109-89-7; 131-11-3; 124-40-3; 25154-54-5; 25321-14-6;
2764-72-9; 298-04-4; 330-54-1; 27176-87-0; 60-00-4; 1031-07-8;
959-98-8; 33213-65-9; 115-29-7; 7421-93-4; 72-20-8; 106-89-8;
563-12-2; 100-41-4; 106-93-4; 107-06-2; 107-15-3; 1185-57-5;
14221-47-7; 7705-08-0; 7783-50-8; 10421-48-4; 10028-22-5;
10045-89-3;      7758-94-3; 7720-78-7; 206-44-0; 86-73-7; 50-00-0;
64-18-6; 110-17-8;       98-01-1; 86-50-0; 1024-57-3; 76-44-8;
118-74-1; 87-68-3; 77-47-4;     67-72-1; 7647-01-0; 7664-39-3;
74-90-8; 7783-06-4; 193-39-5;     7439-89-6; 7439-89-6; 78-59-1;
78-79-5; 54590-52-2; 115-32-2;    143-50-0; 301-04-2; 3687-31-8;
7758-95-4; 7783-46-2; 13814-96-5;      10101-63-0; 10099-74-8;
1072-35-1; 7446-14-2; 1314-87-0; 592-87-0;    7439-92-1; 58-89-9;
7439-93-2; 14307-35-8; 121-75-5; 110-16-7;   108-31-6; 7439-96-5;
2032-65-7; 592-04-1; 10045-94-0; 7783-35-9;      592-85-8;
10415-75-5; 7439-97-6; 72-43-5; 78-93-3; 74-93-1; 80-62-6;
298-00-0; 7786-34-7; 315-18-4; 2385-85-5; 7439-98-7; 75-04-7;
74-89-5; 84-74-2; 621-64-7; 62-75-9; 86-30-6; 300-76-5; 91-20-3;
1338-24-5; 7785-20-8; 7718-54-9; 12054-48-7; 13138-45-9; 7786-81-4;
7440-02-0; 7697-37-2; 98-95-3; 10102-44-0; 7727-37-9; 25154-55-6;
59-50-7; 30525-89-4; 56-38-2; 12674-11-2; 11104-28-2; 11141-16-5;
53469-21-9; 12672-29-6; 11097-69-1; 11096-82-5; 87-86-5; 85-01-8;
108-95-2; 75-44-5; 7664-38-2; 7723-14-0; 10025-87-3; 1314-80-3;
7719-12-2; 7723-14-0; 7784-41-0; 10124-50-2; 7778-50-9; 7789-00-6;
151-50-8; 1310-58-3; 7722-64-7; 2312-35-8? 79-09-4; 123-62-6;
75-56-9; 129-00-0; 121-29-9; 91-22-5; 10043-92-2; 108-46-3;
12640-89-0; 7782-49-2; 7761-88-8; 744G-22-4; 7440-23-5; 7631-89-2;
7784-46-5; 10588-01-9; 1333-83-1; 7631-90-5; 7775-11-3; 143-33-9;
2515S-30-0; 7681-49-4; 16721-80-5; 1310-73-2; 7681-52-9; 124-41-4;
7632-00-0; 7558-79-4; 7601-54-9; 10102-18-8; 7440-23-5; 7789-06-2;
57-24-9; 100-42-5; 10025-67-9; 7664-93-9; 72-54-8; 127-18-4;
78-00-2;      107-49-3; 7446-18-6; 7440-28-0; 103-88-3; 8001-35-2;
75-25-2;    52-68-6; 79-01-6; 75-69-4; 25167-82-2; 27323-41-7;
121-44-8; 75-50-3;      7440-61-1; 541-09-3; 10102-06-4; 1314-62-1;


                         494

-------
                             Accession Ho.  6302000109
(cent)
    7440-62-2;  27774-13-6;    108-05-4; 75-01-4; 75-35-4; 1330-20-7;
    1300-71-6;  557-34-6;      1332-07-6; 7699-45-8; 3486-35-9;
    7646-85-7;  557-21-1; 7783-49-5;      557-41-5; 7779-86-4;
    7779-88-6;  127-82-2; 1314-84-7; 16871-71-9;      7733-02-0;
    7440-66-6;  13746-89-9; 16923-95-8; 14644-61-2; 10026-11-6
(C?JM)  Contact  name(s): Johnson,G.L.   ;    Young,F.N.;    Johnson,G.L.
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Engineering and Technology
                             495

-------
                             Accession Mo.   6302000109

(DO)  Date of Questionaire:  12-02-82
(NAM)  lame of Data Base of  Model:  Fine Particle  Emissions  Information
    System
(ACR)  Acronym of Data Base  or Model:  FPEIS
(MED)  Media/Subject of Data Base or Model: Air ^Emissions   Stationary
    point source
(ABS)  Abstract/Overview of  Data Base  or Model: The  FPEIS contains
    particle concentrations  by     particle size  from sampling  of
    industrial and energy   processes.  Data may  include source/process
    characterization,  control technology design and    operating
    parameters, description  of the  sampling activity, fuel  or feed
    material analysis, and the results of chemical,  biological,
    radiological, and      physical  analyses performed on the collected
    sample*   The FPSIS is part of  the Environmental Assessment Data
    Systems (EADS).
(CTC)  CONTACTS: Subject matter  Gary  L. Johnson  (919)541-7612;
    Computer-related F. Nichols Young  (919)•549-8915? EPA Office
    Gary L. Johnson (919)541-7612
(DTP)  Type of data collection or monitoring:  Point  source  data
    collection Industrial and energy processes
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in Data Base: 43 air priority
    chemicals }5 KESHAPS ;7  criteria NAAQS ;18 radioactive  }    129 307
    CWA ;15 metals
(NPP)  Non-pollutant parameters included in the data base:  Biological
    date ;chemical data ^Collection method ;Concentration measures ;
    Discharge points ;Flow rates ;Industry ^Location ;Sampling  data ;
    Site description ;Temperature ;Test/analysis  method ^Treatment
    devices ;   Volume/mass  measures >Fuel/Feedstock analysis results
    ;Control/Treatment design and operating param Source category
(OS)  Time period covered by data base: 01-01-77  to  12-31-82
(TRiM)  Termination of  data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling:  Other  On-going: data
    submitted when sampling  is completed
(MOB)  dumber of observations in data  base: 2600«(Actual)
(NEI)  Estimated annual increase of observations  in  data base:  500.
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources covered in data  base: 305.
(NCS)  No. stations or sources currently originating/contributing data:
    (N/A.)
(NQF)  number of facilities  covered in data base  (source monitoring): 30
    5-
(GEO)  Geographic coverage of data  base: International
(LOC)  Data elements identifying location of station or source  include:
    State ?City ;Town/township ^Street address ^Country
(FAC)  Data elements identifying facility include: Plant facility name
    ;Plant location ;SIC code jProgram identifier
(CDE)  Pollutant identification data are: CAS  registry  number
    Other coding scheme
(LIM)  Limitation/variation  in data of which user should be aware: Sorae
    site locations and site  names are  not   given due to
    confidentiality agreements.


                             496

-------
                             Accession No-   6302000109      (cont)

(DPR)  Data collect./anal,  procedures  conform to  ORD  guidelines: Collect
    ion method documented ^Analysis method  documented
(AND  Lab analysis based on EPA-approved or accepted methods?  YES
(FRE)  Precision:  Precision and accuracy estimates  exist  but  are not
    included in data  base*
(SOT)  Fditting: Edit procedures used  but undocumented.
(CBY)  Data collected by: EPA lab Industrial Environmental  Research
    Laboratory - RTP  ^Contractor lab Sever  Contractor Several
    participating  jOther federal agency Department  of Energy  }
    Electric Power Research Institute  ^California Air Resources Board

-------
                             Accession No.   6302000109
                     (cont)
(NCAS)  Number of CAS registry numbers
(MAT)  Substances represented in data
    l/l/l-trichloroethane<71-55-
       6>
    1/1/2,7f-tetrachloroethane
       <79-34-5>
    1,l,2-trichloroethane<79-00-5>
    l/l-dichloroethane<75-34-3>
    l,l-dichloroethylene<75-35-4>
    1/2, A, -trichlorobenzene<120-82-l>
    l,2-dichlorobenzene<95-50~l>
    l,2-dichloroethane<107-06-2>
    If 2-dichloropropane<78-87-5>
    l/2-diphenylhydrazine<122-66-7>
    If 2-trans-dichloroethylene
       <156-60-5>
    l,3-dichlorobenzene<541-73-1>
    If3-dichloropropylene<542-75-6>
    1,4-dichlorobenzene<106-46-7>
    2,4,6-trichlorophenol<88-06-2>
    2/ 4,7, 8-tetr achlorodibenzo-p-
       dioxin (tcd<3)
    2/4-dichlorophenol<120-33-2>
    2^4-dimethylphenol<105-67-9>
    2, 4-dinitrophenol<51-28-5>
    2,4-dinitrotoluene<121-14-2>
    2jr6-dinitrotoluene<606-20-2>
    2-chloroethylvinyl ether<110-75-8>
    2-chloronaphthalene<91-58-7>
    2-chlorophenol<95-57-8>
    2-nitrophenol<88-75-5>
    2-nltropropane<79-46-9>
    3/3'-dichlorobenzidin€<91-94-l>
    3,4-benzofluoranthene<205-99-2>
    4,4*-ddd(p,p*tde)
    4,4'-dde(p/p*-ddx)<72-55-9>
    4,4*-ddt<50-29-3>
    4/6-dinitro-o-cresol<534-52-l>
    4-bromopheuyl phenyl ether
       <101-55-3>
    4-chilorophenyl phenyl ether
       <7005-72-3>
    4-nitrophenol<100-02-7>
    acenaphthene<83-32-9>
    acenaphthylene<208-96-8>
    acetaldehyde<7 5-07-0>
    acrclein<107-02-8>
    acrylonitrile<107-13-l>
    aldrin<309-00-2>
    ally! chloride<107-05-l>
    anthracene<120-12-7>
    antiraony<7440-36-0>
 in data base: 91
base:
   arsenic<7440-38-2>
   asbestos<1332-21-4>
   barium 140<14798-08-4>
   bariura<7440-39-3>
   benzene<71-43-2>
   benzidine<92-87-5>
   benzo( a) anthracene< 56-55-3>
   benzo(a)pyrene<50-32-8>
   benzo(gxh,i)perylene<191-24-2>
   benzo(k)fluor an thene< 207-08- 9>
   benzyl chloride<100-44-7>
   berylllum<7440-41-7>
   bhc (lindane)-gamraa<58-89-9>
   bhc-alpha<319-84-6>
   bhc-beta<319-85-7>
   bhc-delta<319-86-8>
   bis(2-chloroethoxy) me thane
   bis(2-chloroethyl)ether
   bis(2-chioroisopropyl)ether
      <39638-32-9>
   bis(2-ethylhexyl)phthalate
   bis(chloroniethyl)ether<542-88-l>
   broroomethane<74-83-9>
   butyl benzyl phthalate<85-68-7>
   cadraiura<7440-43-9>
   carbon 14<14762-75-5>
   carbon tetrachloride<56-23-5>
   cesium 137<10045-97-3>
   chlordane<57-74-9>
   chlorobenzene<108-90-7>
   chlorodibrowomethane<124-48-l>
   chloroethane<75-00-3>
   chloroforra<67-66-3>
   chloromethane<74-87-3>
   chl or op r ene
   chromium<7440-47-3>
   chrysene<218-01-9>
   cobalt<7440-48-4>
   copper<7440-50-8>
   cyanide<57-12-5>
   di-n-butyl phthalate<84-74-2>
   di-n-octyl phthalate<117-84-0>
   dibenzo
   dichlorobromomethane<75-27-4>
   dichlorodif luoromethane<75-71-8>
   dichloroffiethane<75-09-2>
   dieldrin<60-57-l>
   diethyl phthalate<84-66-2>
                             498

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                         Accession No.  6302000109
                  (cent)
dimethyl phthalate<131-ll-3>
dimethylnitrosamine<62-75~9>
dioxane<123-91-l>
dioxin<828-00-2>
endosulfan sulfate<1031-07-8>
endcsulfan-alpha<959-98-8>
endosuifan-beta<33213-65-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
eptchlorohydrin<106-89-8>
ethylbenzene<100-4l-4>
ethylene dibromide (edb)<106-93-4>
ethylene dichloride<107-06-2>
ethylene oxlde<75-21-8>
fluoranthene<206-44-0>
fluorene<86-73-7>
forroaldehyde<50-00-0>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
h€3(cchlorobutadiene<87-€8-3>
hexachlorocyclopentadiene<77-47-4>
hexachloroetharie<67-72-l>
hydrocarbons
indeno (l/2/3-cd)pyrene<193-39-5>
iodine 129<15046-34-l>
iodine 131<10043-66-0>
iron<7439-89-6>
isophorone<78-59-l>
krypton 85<13983-27-2>
leac<7439-92-l>
m-cresol<108-39-4>
m-xylene<108-38-3>
maleic anhydride<108-31-6>
mangarese<7439-96-5>
raercury<7439-97-6>
methyl chloroform<71-55-6>
methyl iodide<74-88-4>
n-nitrosodi-n-propylamine
   <62l-64-7>
n-nitrosodiethylamine<55-18-5>
n-nitrosodimethylamine<62-75-9>
n-nitrosodiphenylaraine<86-30-6>
naphthalene<91-20-3>
nlckel<7440-02-0>
nitrobenzene<98-95-3>
nitrosomethylurea<684-93-5>
nitrosomorpholine<59-89-2>
o-cresol<95-48-7>
o-^
p-chloro-m-cresol<59-50-7>
p-cresol<106-44-5>
p-dichlorobenzene<106-46-7>
p-xylene<106-42-3>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorophenol<87-86-5>
perchloroe thy lene
phenanthrene<85-01-8>
phenol<108-95-2>
phosgene<75-44-5>
Plutonium 238<13981-16-3>
Plutonium 239<15117-48-3>
polychlorinated biphenyls (PCBs)
potassium<7 440-09-7>
proplyene oxide<75-56-9>
pyrene<129-00-0>
radiolcrypton
radioxenon
radium 226<13982-63-3>
selenlum<7782-49-2>
silver<7440-22-4>
strontium 89<14158-27-l>
strontium 90<10098-97-2>
tetrachloroethylene<127-18-4>
thaliiu!n<7440-28-0>
titanium<7440-32-6>
toluene<108-88-3>
toxaphene<8001-35-2>
tribromomethane<75-25-2>
trichloroethylene<79-01-6>
trichlorofluoromethane<75-69-4>
tritiu(B<10028-17-8>
uranium 234<13966-29-5>
uranium 235<15117-96-l>
uraniuffi 238<7440-61-1>
vanadium<7440-62-2>
vinyl chloride<75-01-4>
vinylldene chloride<75-35-4>
zinc<7440-66-6>
                         499

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                             Accession No.  6302000109     (cont)

(CAS)  CAS registry numbers of substances included in data base: 71-55-6
    ; 79-34-5; 79-00-5; 75-34-3; 75-35-4;       120-82-1; 95-50-1;
    107-06-2; 78-87-5; 122-66-7; 156-60-5; 541-73-1;   542-75-6;
    106-46-7; 88-06-2; 120-83-2; 105-67-9; 51-28-5; 121-14-2;
    606-20-2; 110-75-8; 91-58-7; 95-57-8; 88-75-5; 79-46-9; 91-94-1;
    205-99-2; 72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3;
    100-02-7;       83-32-9; 208-96-8; 75-07-0; 107-02-8; 107-13-1;
    309-00-2; 107-05-1;   120-12-7; 7440-36-0; 7440-38-2; 1332-21-4;
    14798-08-4; 7440-39-3;     71-43-2; 92-87-5; 56-55-3; 50-32-8;
    191-24-2; 207-08-9; 100-44-7;     7440-41-7; 58-89-9; 319-84-6;
    319-85-7; 319-86-8; 111-91-1; 111-44-4;      39638-32-9; 117-81-7;
    542-88-1; 74-83-9; 85-68-7; 7440-43-9;     14762-75-5; 56-23-5;
    10045-97-3; 57-74-9; 108-90-7; 124-48-1;    75-00-3; 67-66-3;
    74-87-3; 126-99-8; 7440-47-3; 218-01-9; 7440-48-4;       7440-50-8;
    57-12-5; 84-74-2; 117-84-0; 53-70-3; 75-27-4; 75-71-8;     75-09-2;
    60-57-1; 84-66-2; 131-11-3; 62-75-9; 123-91-1; 828-00-2;
    1031-07-8; 959-98-8; 33213-65-9; 7421-93-4; 72-20-8; 106-89-8;
    100-41-4; 106-93-4; 107-06-2; 75-21-8; 206-44-0; 86-73-7; 50-00-0;
    1024-57-3; 76-44-8; 118-74-1; 87-68-3; 77-47-4; 67-72-1; 193-39-5;
    15046-84-1; 10043-66-0; 7439-89-6; 78-59-1; 13983-27-2; 7439-92-1;
    108-39-4; 108-38-3; 108-31-6; 7439-96-5; 7439-97-6; 71-55-6;
    74-88-4;      621-64-7; 55-18-5; 62-75-9; 86-30-6; 91-20-3;
    7440-02-0; 98-95-3;     684-93-5; 59-89-2; 95-48-7; 95-47-6;
    59-50-7; 106-44-5; 106-46-7;     106-42-3; 12674-11-2; 11104-28-2;
    11141-16-5; 53469-21-9; 12672-29-6;      11097-69-1; 11096-82-5;
    87-86-5; 127-18-4; 85-01-8; 108-95-2;    75-44-5; 13981-16-3;
    15117-48-3; 7440-09-7; 75-56-9; 129-00-0;   13982-63-3; 7782-49-2;
    7440-22-4; 14158-27-1; 10098-97-2; 127-18-4;   7440-28-0;
    7440-32-6; 108-88-3; 8001-35-2; 75-25-2; 79-01-6; 75-69-4;
    10028-17-8; 13966-29-5; 15117-96-1; 7440-61-1; 7440-62-2; 75-01-4;
    75-35-4; 7440-66-6
(CiM)  Contact name(s): Johnson,G.L.   ;    Young,F.$«;    Johnson,G.L.
(ROR)  Responsible Organization: Office of Research and
    Development. Office of Environmental Engineering and Technology
                             500

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                             Accession So.   6302000110

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Solid Discharge Data System
(ACR)  Acronym of Data Base  or Model:  SDDS
(MED)  Kedia/Subject of Data Base or Model:  Effluents All  industries
    ;Sedlment ;Solid waste
(ABS)  Abstract/Overview of  Data Base  or Model:  SDDS contains
    measurements of solid discharge     streams  from stationary
    industrial and energy processes.    Data may include process
    descriptions, treatment/disposal   technology design and operating
    parameters* description  of  the sampling activity,  fuel  or feed
    material analysis results,   and the results of chemical,
    biological/ radiological, and  physical  analyses performed on the
    collected sample.  SDDS   is part of the  Environmental  Assessment
    Data System (EADS).
(CTC)  CONTACTS: Subject matter Gary L. Johnson  (919) 541-7612;
    Computer-related F. Nichols Young  (919)  549-8915; EPA  Office
    Gary L. Johnson (919) 541-7612
(DTP)  Type of data collection or monitoring: Poiut source data
    collection All industries
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented In Data  Base: 11 conventional
    water ;15 metals
(NPP)  Mon-pollutant parameters included in  the  data base: Biological
    data ;Cheraical data ;Collection method Concentration  measures ;
    Discharge points /Flow rates /Industry ^Location ;Sampling data ;
    Site description /Temperature ;Test/analysis method ;Treatment
    devices ;   Volume/mass  measures
(DS)  Time period covered by data bases 01-01-80 to 12-31-82
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: Other  As  submitted by
    Contractors
(HOB)  dumber of observations in data  base:  56 (Actual)
(NEI)  Estimated annual Increase of observations in data base: 300.
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources  covered In data base:  21.
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(KOF)  Number of facilities  covered in data  base (source monitoring): 21
    •
(GEO)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or source include:
    State /City ;Town/township ;Street address ;Countcy
(FAC)  Data elements identifying facility include! Plant facility name
    ;Plant location ;SIC code ;Program identifier
(CDE)  Pollutant identification data are: CAS registry number
    Other coding scheme
(LJM)  Limitation/variation  in data of which user should be aaare: Confi
    dentiality requirements  may often  limit  location information
    disclosure.
(DPR)  Data collect./anal, procedures  conform to ORD guidelines:  Collect
    ion method documented ;Analysls method  documented
(AM.)  Lab analysis based on EPA-approved or accepted methods? YES


                             501

-------
                             Accession No.   6302000110      (cont)

(AUD)  Lab Audit: Data not based on lab analysis*
(PRE)  Precision: Precision and accuracy estimates nay  exist     but are
    not included in data base
(EOT)  Editting: Edit procedures used but undocumented.
(CBY)  Data collected by: EPA lab Industrial Environmental  Research
    Lab.-RTF and  Cine in. ; Contractor Several firms involved
(ABY)  Data analyzed by: EPA lab Industrial Environmental  Research
    Lab.-RTP
    Contractor Midwest Research Institute
(IDL)  Laboratory identification: YES
(AUT)  Authorization for data collection: No statutory  requirement:
    Date collection requirement is    for purposes of general research
    and development
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base*  Publications
    SDDS User Guide (EPA-600/8-80-009, Jan. 1980)
    Printouts on request
    Machine-readable ran data
    On-line computer
(NUS)  Number of regular users of data base: 5
(USR)  Current regular users of data base:  EPA laboratories
    Contractors to EPA
(CNF)  Confidentiality of data and limits on access: Limits on access
    within EPA and outside agency for some  data
(DLC)  Primary physical location of data: NCC/UNIVAC
(DST)  Form of data storage: Microfich/film
(DAC)  Type of data access: EPA software Environmental  Assessment Data
    Systems MIDS:6302000101 ;   EPA hardware Univac 1100/82
(CHG)  Direct charge for non-EPA use: No
(UPDT)  Frequency of data base master file up-date: Other  As  needed
(RSS)  Related EPA automated systems which use data base:  None
(RD8EPA)  Related EPA data bases used in conjunction with  this data base
    Environmental Assessment Data Systems   (FPEIS, GEDS,  and LEDS)
(CMP)  Completion of form:
    Gary L. Johnson
    QFC: Industrial Environmental Research Lab-RTP
    AD: MD-62 RTP, NC 27711
    PH: (919) 541-7612
(DF)  Date of form completion: 01-28-83
(NMAT)  Number of substances represented in data base:  84
(NCAS)  Number of CAS registry numbers in data base: 84
(MAT)  Substances represented in data base:
    acidity                              dissolved oxygen
    alkalinity                           dissolved solids
    arsenic<7440-38-2>                   fecal coliform
    barium<7440-39-3>                    iron<7439-89-6>
    beryllium<7440-41-7>                 lead<7439-92-l>
    cadmium<7440-43-9>                   manganese<7439-96-5>
    chrcmium<7440-47-3>                  mercury<7439-97-6>
    cobalt<7440-48-4>                    nickel<7440-02-0>
    copper<7440-50-8>                    nitrogen<7727-37-9>


                             502

-------
                             Accession Uo.  6302000110
                            (cont)
    oil and grease
    oxygen demand
    ph
    phosphorus<7723-14-0>
(CAS)  CAS registry numbers of
          seleniura<7782-49-2>
          suspended solids
          titanium<7440-32-6>
          vanadIuro<7440-62-2>
substances included in data base:
7440-38
    -2; 7440-39-3; 7440-41-7; 7440-43-9?   7440-47-3; 7440-48-4;
    7.440-50-8; 7439-89-6; 7439-92-1; 7439-96-5;     7439-97-6;
    744C-02-0; 7727-37-9; 7723-14-0; 7782-49-2; 7440-32-6;
    7440-62-2
(CNM)  Contact name(s): Johnson^G.L«   ;    Young/F.N«?    Johrtson/G.L.

-------
                             Accession No*   6302000111

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Kane of Data Base of  Model:  Gaseous  Emissions Data System
(ACR)  Acronym of Data Base  or  Models  GEDS
(MED)  Media/Subject of Data Base or Model: Air  ^Emissions  Stationary
    sources/ all industries
(ASS)  Abstract/ Over view of  Data Base or Model:  GEDS contains
    measurements of gaseous  emissions from    stationary industrial  and
    energy processes*  Data  may Include    source/process
    characterization, control technology design   and operating
    parameters, description  of  sampling activity, fuel  or feedstock
    analysis results, and results of chemical,      biological,
    radiological, and physical  analyses performed   on  the collected
    sample.  The GEDS is a part of  the   Environmental Assessment  Data
    Systems (EADS).
(CTC)  CONTACTS: Subject matter Gary L* Johnson   (919)  541-7612;
    Computer-related F. Nicholls Young (919) 549-8915;  EPA Office
    Gary L. Johnson (919) 541-7612
(DTP)  Type of data collection  or monitoring:  Point source data
    collection All industries
(STA)  Data Base status: Operational/ongoing
(GRP)  croups of substances  represented in  Data  Base: 43 air priority
    chemicals ;7 criteria NAAQS
(NPP)  Non-pollutant parameters included in the  data base: Biological
    data /Chemical data ^Collection method  /Concentration measures  ;
    Discharge points ;Flo« rates ;industry  ;Location ;Sampling  data ;
    Site description ^Temperature ;Test/analysis method /Treatment
    devices ;   Volume/mass  measures
(DS)  Time period covered by data base: 01-01-80 to 12-31-82
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: Other  As data  are
    submitted
(NOB)  Number of observations in data base: 440  (Actual)
(NEI)  Estimated annual increase of observations in data base:  500.
(INF)  Data base includes: Ran  data/observations
(NTS)  Total number of stations or sources  covered in data base:  95.
(NCS)  No. stations or sources  currently originating/contributing data:
    0.
(NOF)  Number of facilities  covered in data base (source monitoring):  95
    •
(GEO)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or source  include:
    State ;Clty ;Toun/township  ;Street address ;Country
(FAC)  Data elements identifying facility include: Plant facility name
    ;Plant location ;SIC cede ;Program identifier
(CDE)  Pollutant identification data are: CAS registry  number
    Other coding scheme
(LIM)  Limitation/variation  in data of which user should be aware:  Confi
    dentiality requirements  may often limit location information
    disclosure.  GEDS is a new  system and has   feu data at present.
(DPR)  Data collect./anal, procedures conform to ORD guidelines:  Collect
    ion method documented Analysis method  documented
(ANL)  Lab analysis based on SPA-approved or accepted methods?  YES


                             504

-------
                             Accession No,   6302000111      (cont)

(PRE)  Precision: Precision and accuracy estimates exist but are not
    included in data base.
    Contractor lab Several
    involved ^Contractor Several involved ;   Other federal agency
    Department of Energy }Electric Power Research Institute ;
    California Air Resources Board
(ABV)  Data analyzed by: EPA lab Industrial Environmental Research
    Labs-RTP & Cincin.
    Contractor Acurex
UDL)  Laboratory identification: YES
(AUT)  Authorization for data collection: Ho statutory  requirement:
    Data collection requirement is    for purposes of general research
    arid development.
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    GEDS User Guide (EPA-60Q/8-80-OQ6, Jan. 1980)
    Printouts on  request
    Machine-readable raw data
    On-line computer
(NUS)  Number of  regular users of data base: 10
(USR)  Current regular  users of data base:  EPA headquarter offices
    Office of Research and Development Office     of Environmental
    Engineering Technology
    EPA laboratories
    Contractor
(CNF)  Confidentiality of cata and limits on access: Limits on access
    within EPA and outside agency for some   data*
(DLC)  Primary physical location of data: NCC/UNIVAC
(DST)  Form of data storage: Magnetic disc
(DAC)  type of data access: SPA software Environmental  Assessment  Data
    Systems (System 2000)  MIDS:630200010  EPA hardware  Univac 1100/82
              allyl chloride<107-05-l>
    acetaldehyde<75-07-0>                benzyl chloride<100-44-7>
    acrolein<107-02-8>                    bis(chlororaethyl)ether<542-88-l>
    acrylonitrile<107-13-l>              carbon tetrachloride<56-23-5>


                             505

-------
                             Accession No.   6302000111
                  (coat)
    chlorobenzene<108-90-7>
    chloroform<67-66-3>
    chloroprene<126-99-8>
    dichloromethane<75-09-2>
    dimethylnitrosamine<62-75-9>
    dioxane<123-91-l>
    dioxln<823-00-2>
    epichlorohydrin<106-89-8>
    ethylene dibromide (edb)<106-93-4>
    ethylene dichloride<107-06-2>
    ethylene oxide<75-21-8>
    formaldehyde<50-00~0>
    hexachlorocyclopentadiene<77-47-4>
    hydrocarbons
    m-cresol<108-39-4>
    m-xylene<108-38-3>
    raaleic anhydride<108-31-6>
    manganese<7439-96-5>
methyl lodide<74-88-4>
n-nitrosodi€thylaniine<55-18-5>
nickel<7440-02-0>
nitrobenzene<98-95-3>
nitrosoffl€thylurea<684-93-5>
nitrosoraorphollne<59-89-2>
o-cresol<95-48-7>
o-xylene<95-47-6>
p-cresol<106-44-5>
p-dichlorobenzene<106-46-7>
p-xylene<106-42-3>
perchloroethylene<127-18-4>
phenol<108-95-2>
phosgene<75-44-5>
polychlorlnated biphenyls (PCBs)
proplyene oxide<75-56-9>
toluene<108-88-3>
trlchloroethylene<79-01-6>
vinylldene chloride<75-35-4>
    methyl chloroforni<71-55-6>
(CAS)  CAS registry numbers of substances included in data base:  79-46-9
    > 75-07-0;  107-02-8;  107-13-1;    107-05-1; 100-44-7;  542-88-1;
    56-23-5; 108-90-7; 67-66-3; 126-99-8;   75-09-2; 62-75-9; 123-91-1;
    828-00-2; 106-89-8; 106-93-4; 107-06-2;    75-21-8; 50-00-0;
    77-47-4; 108-39-4; 108-38-3; 108-31-6;  7439-96-5;   71-55-6;
    74-88-4; 55-18-5; 7440-02-0; 98-95-3; 684-93-5; 59-89-2;
    95-48-7; 95-47-6; 106-44-5; 106-46-7; 106-42-3; 127-18-4; 108-95-2;
    75-44-5; 75-56-9; 108-88-3; 79-01-6;  75-35-4
(CNM)  Contact  narae(s): Johnson,G.L.    ;     Young,F.N.;    Johnson,G.L.
(RQR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Engineering and Technology
                             506

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                             Accession No.   6302000112

(DO)  Date of questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Multimedia Environmental  Goals  Data
    Base
(ACR)  Acronym of Data Base  or  Model:  MEGDAT
(M£0)  Media/Subject of Data Base or Modal:  No specific media
(ABS)  abstract/Overview of  Data Base or Model:  MEGDAT  is a  reference
    data base that contains      comprehensive properties/ toxicology,
    and regulatory data   on organic compounds and species.  Data
    include occurrences in air/ land, and water  media;  human and animal
    toxicity    data; information relative  to genotoxlc potential;
    aquatic  toxicity; and phytotoxicity.  Details and  references  are
    given for any standards, criteria, or recommendations that  are
    applicable.  The MSGDAT  data base is part of the   Environmental
    Assessment Data System.
(CTC)  CONTACTS: Subject matter   Carrie L.  Kingsbury  (919) 541-5861
    ;     Computer-related  R
(DTP)  Type of data collection  or monitoring: Combination/Other N/ft
(STA)  Data Base status: Discontinued
(DPQ)  Projected operational date of Data Base:  01-00-81
(GRP)  Groups of substances  represented in Data Base:  43 air priority
    chemicals ;5 NESHAPS ?7  criteria NAAQS  ;3 HID CAA  ;  129 307 CWA
    ;41 CWA potential criteria  ;21  drinking Mater standards  ; 9
    potential drinking water ;29 drinking water  monitoring ;299
    hazardous substances ; 48 cancelled pesticides ;9 monitoring
    pesticides ;54 TSCA assessment  ;     RCRA hazardous wastes ;16
    Pre-RPAR ;15 metals
(NPP)  Fon-pollutant parameters included in the  data base: Biological
    data ;Chemical data ^Health effects ;5olubility ^Application
    regulati Literature Citations ;Threshold Limit Value (TLV) ;Lethal
    Dose to 50% of population (LD50)
(TRM)  Termination of data collection: Not applicable
(FRQ)  Frequency of data collection or sampling: as needed
(NOB)  Number of observations in data base:  1500(Estimated)
(fiEl)  Estimated annual increase of observations in data base: 100
(IMF)  Data base includes: Reference data/citations
(NTS)  Total number of stations or sources  covered in data base: 0
(NCS)  No. stations or sources  currently originating/contributing  data:
    0
(NQF)  Number of facilities  covered in data base (source monitoring): 0
(CDE)  Pollutant identification data are: CAS registry  number
    Other coding scheme
(LIM)  Limitation/variation  in  data of which user should be  aware: Over
    time all of the indicated pollutants will    be included in the
    data base.  This data base  Mill not be    operational until early
    1982.
(ANL)  Lab analysis based on EPA-approved or accepted methods? NO
(ADD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision  and accuracy estimates are  not available
(EDT)  Editting: Edit procedures used but undocumented.
(CSV)  Data collected by: Contractor Several involved in project
(A8Y)  Data analyzed by: EPA lab Industrial Environmental Research
    Laboratory-RTP


                             507

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                             Accession No.   6302000112      (cont)

    Contractor Research Triangle Institute
(IDL)  Laboratory identification:  NO
(PRl)  Primary purpose of data collection:  to support other EADS  data
    bases
(AUT)  Authorization for data collection:  No statutory  requirement:
    Data collection requirement is    to support the SADS  system  and
    data bases
(OMB)  Data collected/submitted using QMS-approved EPA  reporting  forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Printouts  on
    request
    Machine-readable raw data
    On-line computer
(NUS)  Number of regular users of  data base: 2 Offices
(USR)  Current regular users of data base:  EPA laboratories
    EPA Contractors
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data:  NCC/UIIVAC
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software Environmental  Assessment Data
    System (System  2000)  MIDS:630200010 EPA hardaare  Univac 1100/82
(CHG)  Direct charge for non-SPA use: No
(UPDT)  Frequency of data base master file  up-date: Other  As new  data
    becomes available
(RDBEPA)  Related EPA data bases used in conjunction with  this data base
    Environmental Assessment data Systems   (FPEI5, £EDS,  LEDS, SDDS)
(CMP)  Completion of form:
    Gary L. Johnson
    OFC: Industrial Environmental Research  Laboratory
    AD: MD-62 RTP, NC 27711
    PH: (919) 541-7612
(DF)  Date of form completion: 01-28-83
(NMAT)  Number of substances represented in data base:  760
(NCAS)  Number of CAS registry numbers in data base: 1015
(MAT)  Substances represented in data base:
                                         l,l-dichloroethylene<75-35-4>
    "0,0-diethyl phosphoricacid/0-p-     l,l-dimethylhydrazine<57-14-7>
       nitrophenyl ester<311-45-5>       l,12-trichloroethene<79-01-6>
    0,0-diethyl-0-(2-pyrazinyl)          1/2, 3f 4,10,10-hexachlor o-l,4,4a, 5,
       phoshorothioOJ,0-diethyl-s-(2-        8,8a~hejcahydro-1^4:5,8-endo^
       ethylthio)ethyl)ester of             endo-dimetha
       phosphorodithioicacid             1^2, 4/-trichlorobenzene  1^2/4/5-
    0/0-diethyl-s-methyl ester of phos      tetrachlorobenzene<95-94-3>
       1,1,1/2-tetrachloroethane         l/2-dibromo-3-chloropropane  (dbcp)
       <630-20-6>                           <96-12-8>
    l/l,l-trichloroethane<71-55-6>       l,2-dibroraoethane<106-93-4>
    I,1/2f2f-tetrachloreethane           l,2-dichlorobenzene<95-50-l>
       <79-34-5>                         l/2-dichloroethane<107-06-2>
    l/l/2-trichloroethane<79-00-5>       l,2-dichloropropane<78-87-5>
    l,l,2-trichloroethene<79-01-6>       l,2-diethylhydrazine<1615-80-l>
    l/l-dichloroethane<75-34-3>          l,2-diraethylhydrazine<540-73-8>


                             508

-------
                         Accession No.  6302000112
                  (cont)
l,2-diphenylhydrazine<122-66-7>
I/2-propanediol<57-55-6>
1,2-trans-dichloroethylene
   <156-60-5>
1,3,4 trichlorobenzene<12Q-82-l>
l,3-dichlorobenzene<541-73-l>
1,3-dichloropropene<542-75-6>
\t3-dichloropropylene<542-75-6>
l,3-pentadiene<504-60~9>
1,3-propane sultone<1120-71-4>
l,4-dichloro-2-butene<110-57-6>
l,4-dichlorobenzene<106-46-7>
l,4-dioxane<123-91-l>
1,4-naphth oqui none
l-(c-chlorophenyl)thiourea
   <5344-82-l>
l-(p-chlorobenzoyl)-5-methoxy-2-
   roethylindole-3-acetic acid
l-chloro-2,3-epoxypropane
   <106-89-8>
l-naphthyl-2-thiourea<86-88-4>
l-naphthylamine<134-32-7>
2/2-dichloropropionic acid
   <75-99-0>
2/3,4,6-tetrachl«rophenol<58-90-2>
"if 4^5-t amines
2,4/5-t esters
2,4^5-t salts
2f4,5-tp acid esters
1t 4, 5- trichl orophenoK 95-95-4>
2/4x5-trichlorophenoxyacetic acid
   
2,4,5-trichlorophenoxypropionic
   acid (TP)<93-72-l>
2,4-,6-trichlorophenol<88-06-2>
2/4,7,8-tetrachlorodibenzo-p-
   dioxin (tcdd)
2,4-d acid<94-75-7>
2,4-d esters
2,4-dichlorophenol<120-83-2>
2,4-dichlorophenoxyacetlc acid (2,
   4-d)<94-75-7>
2,4-dinethylphenol<105-67-9>
2,4-dinitrophenol<51-28-5>
2,4-dinitrotoluene<121-14-2>
2,4-dithiobiuret<541-53-7>
2/6-dichlorophenol<87-65-0>
2,6-dinitrotoluene<606-20-2>
2-acetylamlnoflourene
2-butanone peroxide<1338-23-4>
2-chloroethylvinyl ether<110~75-8>
2-chloronaphthalene<91-58-7>
2-chlorophenol< 95-57- 8>
2-cyclohexyl-4,6-dinitrophenol
   <131-89-5>
2-fluoroacetamide (1081)<640-19-7>
2-nethyl-2-(methylthio)propionalde
   hyde-o-(methylcarbonyl)oxirae
   < 80-62
   -6>
2-!Bethylaziridin«<75-55-8>
2-iaethyllactonitrile<7S»86-5>
2-naphthylai8ine<91-59-8>
2-nitrophenol<88-75-5>
2-nitropropane<79-46-9>
2-picoline<109-06-8>
2-propyn-l-01<107-19-7>
2-sec butyl-4, 6-dinitrophenol
   <88-85-7>
3,3 *-dichlorobenzidine<91-94-l>
3,3*-diBethoxybenzidine<119-90-4>
3,3 '-diinethyl-l(«ethylthio)-2-
   butanone-0-((methylamino)
   carbonyDoxime
3,3'-diroethylben2idine<119-93-7>
3,4-benzofluoranthene<205-99-2>
3,4-dihydroxy-alpha-(methyla»ino)-
   methyl benzyl alcohol
3-chloropropionitrile<542-76-7>
3-raethylcholanthrene<56-49-5>
39196-18-4>
4,4'-ddd(p,p*tde)
4, 4 *-dde{p,p '-ddx) <72-55-9>
4,4*-ddt<50-29-3>
4,4'-raethylene-bis-(2-chloroanilin
4,6-dinitro-o-cresol<534-52-l>
4-Aminopyridine<504-24-5>
4-bromophenyl phenyl ether
   <101-55-3>
4-chloro-o-toluidine hydrochloride
   <3165-93-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
5-(afflinojDethyl)-3-isoxazolol
   <2763-96-4>
5-nitro-o-toluidine<99-55-8>
6-afflino-l,la,2,8,8a,8b-hexahydro-
   8- (hydroxy methyl ) 8-met hoxy-5-
   methyl
   -caraba
                         509

-------
                         Accession No.  6302000112
                  (cont)
7/12-diniethylbenz(a)ant 7-
   cxabicycol(2.2.1)heptane-2,3-
   dlcarboxylic
   ecld<145-73-3>
aceraphthene<83-32-9>
acenaphthylene<208-96-8>
acetaldehyde<75-07-0>
acetic acid<64-19-7>
acetic anhydride<108-24-7>
acetone cyanohydrin<75-86-5>
acetone<67-64-l>
acetonitrile<75-05-8>
acetophenone<98-86-2>
acetyl bromide<506-96-7>
acetyl chloride<75-36-5>
acrolein<107-02-8>
acrylamide<79-06-l>
acrylic acid<79-10-7>
acrylonitrile<107-13-1>
acipic acid<124-04-9>
alachlor<15972-60-8>
aldrin<309-00-2>
ally! alcohol<107-18-6>
allyl chloride<107-05-l>
alpha/ alpha-diirethylbenzylhydro-
   peroxide<80-15-9>
alpha/ alpha-dimethylphenethylamine
   <122-09-8>
alpha-chlorotoluena<100-44-7>
aluirinum phosphide<20859-73-8>
aluminum sulfate<10043-01~3>
aluirinura<7429-90-5>
amitraz (baara)<33089-61-l>
amitrole<61-82-5>
ammcnia<7664-41-7>
ammonluai acetate<631-61-8>
afliironium benzoate<1863-63-4>
ammonium bicarbonate<1066-33-7>
ammonium bichromate<7789-09-5>
ammonium bifluoride<1341-49-7>
aicroonium bisulf ite<10192-30-0>
ammonium carbamate
ammonium carbonate<506-87-6>
ammonium chloride<12125-02-9>
ammcnium chromate<7788-98-9>
ammonium citrate<7632-50-0>
aipnoniuffl f luoborate<13826-83-0>
ammonium fluoride<12125-01-8>
ammonium hydroxide<1336-21-6>
annoniuiu oxalate<1113-38-8>
ammcnium picrate<131-74-8>
ammonium silicofluoride
   <16919-19-0>
ammonium sulfa»ate<7773-06-0>
ammonium suit ide<12135-76-l>
ammonium sulf ite<10196-04-0>
ammonium tartrate<3164-29-2>
ammonium thiocyanate<1762-95-4>
ammonium thiosulf ate<7783-18-8>
amyl acetate<628-63-7>
aniline<62-53-3>
anthracene<120-12-7>
antimony pentachloride<7647-18-9>
antimony potassium tartrate
antimony tribromide<7789-61-9>
antimony trichloride<10025-91-9>
antimony trif luoride<7783-56-4>
antimony trioxide<1309-64-4>
antimony<7440-36-0>
aramlte<140-57-8>
arsenic acid<1327-52-2>
arsenic disulf ide<1303-32-8>
arsenic pentoxide<1303-28-2>
arsenic trichloride<7784-34-l>
arsenic trioxide<1327-53-3>
arsenic trisulf ide<1303-33-9>
arsenic <7440-38-2>
asbestos<1332-21-4>
atrazine<1912-24-9>
auramine<2465-27-2>
azaserine<115-02-6>
banvel-d<1918-00-9>
barium cyanide<542-62-l>
bariura<7440-39-3>
benefin<1861-40-l>
benomyl<17804-35-2>
benz(c)acridine<225-51-4>
benzac
benzal chloride<98-87-3>
benzene<71-43-2>
benzenesulfonyl chloride<98-09-9>
benzene thiol<108-98-5>
benzidine<92-87-5>
benzo(a)anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
benzo(g^h^i)perylene<191-24-2>
b enzo (k )f luor anthene<207-08-9>
benzole acid<65-85-0>
benzonitrile<100-47-0>
benzotrichloride<98-07-7>
benzoyl chloride<98-88-4>
benzyl chloride<100-44-7>
                         510

-------
                         Accession No.  6302000112
                  (cont)
beryllium chloride<7787-47-5>
beryllium dust
beryllium fluoride<7787-49-7>
beryllium nitrate<13597-99-4>
beryllium<7440-41-7>
bhc (lindane)-gaoiina<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
biphenyl<92-52-4>
bis(2-chloroethoxy)methane
bis(2-chloroethyl)ether
bis(2-chloroisopropyl) ether
   <39638-32-9>
bis<2-ethylhexyl)phthalate
bis(chloromethyl)ether<542-88-l>
bisiruth compounds<7440-69-9>
boron compounds<7440-42-8>
broitine<7726-95-6>
brorcoacetone<598-31-2>
bromobenzene<108-86-l>
br OBI ochlorobenzene<2 8906-3 8-9>
bromodichloromethane<75-27-4>
brorcomethane<74-83-9>
brucine<357-57-3>
butachlor<23!84-66-9>
butyl acetate<123-86-4>
butyl benzyl phthalate<85-68-7>
butylamine<109-73-9>
butyric acid<107-92-6>
cacodylic acid and salts<75-60-5>
cadmium acetate<543-90-8>
cadmium bromide<7789-42-6>
cadmium chloride
cadndum<7440-43-9>
calcium arsenate<7778-44-l>
calcium arsenite<52740-16-6>
calcium carbide<75-20-7>
calcium chromate<13765-19-0>
calcium cyanide<592-01-8>
calcium dodecylbenzenesulf onate
   <26264-06-2>
calcium hydroxide<1305-62-0>
calcium hypochlorite<7778-54-3>
calcium oxide<1305-78-8>
captan<133-06-2>
carfcaryl<63-25-2>
carbofuran<1563-66-2>
carbon disulf ide<75-15-0>
carbon monoxide<630-08-0>
carbon tetrachloride<56-23-5>
carbonyl fluoride<353-50-4>
chloral<75-87-6>
chlorawbucil<305-03-3>
chloranil<118-75-2>
chlordane<57-74-9>
chlorinated naphthalenes
chlorine<7782-50-5>
chloroacetaldehyde<107-20-0>
chlorobenzene<108-90-7>
chlorobenzilate<510-15-6>
chlorodibroi»oiEethane<124-48-l>
chloroethane<75-00-3>
chloroethene<75-01-4>
chloroethyl vinyl ether<110-75-8>
chlorofluorocarbons
chloroform<67-66-3>
chlororaethane<74-87-3>
chloromethyl methyl ether
   < 107-3.0-2>
chloroprene
chlorosulfonic acid<7790-94-5>
chlorpyrifos<2921-88-2>
chromic acetate<1066-30-4>
chromic acid<7738-94-5>
chromic sulfate<10101-53-8>
chromium<7440-47-3>
chromous chloride<10C49-05-5>
chrysene<218-01-9>
cis-1^2-dichloroethylene<156-59-2>
coal tar<8007-45-2>
cobalt<7440-48-4>
cobaltous bromide<7789-43-7>
cobaltous formate<544-18-3>
cobaltous sulfamate<14017-41-5>
copper cyanide<544-92-3>
copper<7440-50-8>
coumaphos<56-72-4>
creosote<802l-39-4>
cresol
cresylic acid<1319-77-3>
crotonaldehyde<4170-30-3>
c\imene<98-82-8>
cupric acetate<142-71-2>
cupric acetoarsenite<12002-03-8>
cupric chloride<7447-39-4>
cupric nitrate<3251-23-8>
cupric oxalate<814-91-5>
cupric sulfate ammoniated
   <10380-29-7>
cupric sulfate<7758-98-7>
cupric tartrate<815-82-7>
                         511

-------
                         Accession No.  6302000112
                  (cont)
cyanazine<21725-46-2>
cyanide<57-12-5>
cyanogen broraide<506-68-3>
cyanogen chloride<506-77~4>
cyanogen<460-19-5>
cyclohexane<110~82-7>
eyelohexanone<10 8-94-1>
cyclophosphaiaide<50-18-0>
daunoinycin<2 0830-81-3>
ddd(tde)
ddt
demeton<8065-48-3>
di-isopropylfluoroohosphate
   <55-91-4>
dl-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
di-n-propylnitrosaiaine<621-64-7>
dialkyl ethers
dlalkyl phosphates
diallate<2303-16-4>
diazinon<333-41-5>
dibenzo(a,h)anthracene<53-70-3>
dibenzofuran<132-64-9>
dibenzol(a,l)pyrene<189-55-9>
dibromochloromethane<124-48-l>
dlbromoiaethane<74-95-3>
dibutyl phthalate<84-74-2>
dicaraba<1918-00-9>
dichlobenil<1194-65-6>
dichlone
dichlorobenzene<25321-22-6>
dlchlorobrofflomethane<75-27-4>
dichlorodi£luororaethane<75-71-8>
dichloroiodomethane<594-04-7>
dicliloroH(iethane<75-09-2>
dichlorophenylarsine<696-28-6>
dichloropropane<26638-19-7>
dichloropropene
dlchloropropene-dIchloropropane
   mixture
dicMorvos (ddvp)<62-73-7>
dieldrin<60-57-l>
diepoxybuitane
diethyl phthalate<34-66-2>
diethylamine<109-89-7>
dlethylarsine
diethylstllbestrol<56"53-l>
dihydrosafrole<94-58-6>
diraethoate<60-51-5>
dimethyl phthalata<131-ll-3>
dimethyl sulfate<77-78-l>
dinethylanine<124-40-3>
dimethylcarbamoyl chloride
   <79-44-7>
dimethylnltrosamine<62-75-9>
dinitrobenzene<25154-54-5>
dinitrophenol
dinitrotoluene<25321-14-6>
dioxane<123-91-l>
dioxin<828-00-2>
diphenyl ether
diphenylhydrazine<38622-18-3>
dipropylaffline<142-84-7>
diquat<2764-72-9>
disulfoton<298-04-4>
diuron<330-S4-l>
dodecylberizenesulfonic acid
   <27176-87-0>
ebdc's (ethylenebisdithiocarbaiaate
   s)
edta<60-00-4>
endosulfan sulfate<1031-07-f8>
endosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endosulfan<115-29-7>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
epichlorohydrin<106-89-8>
epn {ethyl-p-nitrophenyl thlonoben
   zenephosonate)<2104-64-5>
erbon<136-25-4>
ethion<563-12-2>
ethyl acetate<141-78-6>
ethyl acrylate<140-88-5>
ethyl chloride<75-00-3>
ethyl ether<60-29-7>
ethyl nethacrylate<97-63-2>
ethyl methanesulfonate<62-50-0>
ethyl parathion<56-38-2>
ethylbenzene<100-41-4>
ethylcyanide<107-12-0>
ethylene bisdithiocarbamate
ethylene dibroroide (edb)<106-93-4>
ethylene dichloride<107-06-2>
ethylene oxide<75-21-8>
ethylene thiourea<96-45-7>
ethylenedianine<107-15-3>
ethyleneimine<151-56-4>
ferric ammonium cltrate<1185-57-5>
ferric ammonium oxalate
   <14221-47-7>
ferric chloride<7705-08-0>
ferric cyanide
ferric fluoride<7783-50-8>
                         512

-------
                         Accession No.  6302000112
                  (cont)
ferric nitrate<10421-43-4>
ferric sulfate<10028-22-5>
ferrous ammonium sulfate
   <10045-89-3>
ferrous chloride<7758-94-3>
ferrous sulfate<7720-78-7>
fluoranthene<206-44-0>
fluorene<86-73-7>
fluorides
fluorineC7782-41-4>
fluoroacetic acid/ sodium salt
flucrotrichlorom€thane<75-69-4>
formaldehyde<50-00-0>
formic acid<64-18-6>
furaaric acid<110-17-8>
furan<110-00-9>
furfural<98-01-l>
glycidylaldehyde
guthion<86-50-0>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
hexschlorobutadiene<87-68-3>
hexechlorocyclohexane<58-89-9>
hexachlorocyclopentadiene<77-47-4>
hexschloroethane<67-72-l>
hexachlorophene<70-30-4>
hexachloropropene<1888-71-7>
hexaethyl tetraphosphate<757-58-4>
hydra*ine<302-01-2>
hydrocarbons
hydrochloric acid<7647-01-0>
hydrocyanic acid<74-90-8>
hydrofluoric acid<7664-39-3>
hydrogen cyanide<74-90-8>
hydrogen sulfide<7783-06-4>
hydroxydlmethyl arsine oxide
   <75-60-5>
indeno (l,2,3-cd)pyrene<193-39-5>
iodomethane< 74-88-4>
iron and corapounds<7439-89-6>
iroii dextran<90Q4-66-4>
iror<<7439-89-6>
Isobutyl alcohol<78-83-l>
isocyanic acid, methyl ester
   <624-83-9>
isophorone<78-59-l>
isoprene<78-79-5>
isopropanolamlne dodecylbenzene
   sulfonate<54590-52-2>
isosafrole<120-58-l>
kelthane
kepone<143-50-0>
lasiocarpine<303-34-4>
lead acetate<301-04-2>
lead arsenate<3687-31-8>
lead chloride<7758-95-4>
lead fluoride<7783-46-2>
lead fluoroborate<13814-96-5>
lead iodide<10101-63-0>
lead nitrate<10099-74-8>
lead phosphate<7446-27-7>
lead stearate<1072-35-l>
lead subacetate<1335-32-6>
lead sulfate<7446-14-2>
lead sulfide<1314-87-0>
lead thiocyanate<592-87-0>
lead<7439-92-l>
lindane<58-89-9>
lithium and compounds<7439-93-2>
lithium chromate<14307-35-8>
ffl-cresol<108-39-4>
ffl-xylene<108-38-3>
fflalathion<121-75-5>
raalelc acid
roaleic anhydride<108-31-6>
oaleic hydrazlde<123-33-l>
malononitrile<109-77-3>
manganese<7439-96-5>
mate
raelphalan<148-82-3>
nercaptodlnethur<2032-65-7>
mercuric cyanide<592-04-l>
mercuric nitrate<10045-94-0>
mercuric sulfate<7783-35-9>
mercuric thiocyanate<592-85-8>
mercurous nitrate<10415-75-5>
mercury fulBinate<628-86-4>
mercury<7439-97-6>
methanearsenates
methanethiol<74-93-l>
methanol<67-56-l>
methapyrilene<91-80-5>
methorayl<16752-77-5>
methoxychlor<72-43-5>
methyaerylonitrile<126-98-7>
methyl chlorocarbonate<79-22-l>
methyl chloroform<71-55-6>
methyl ethyl ketone (»ek)<78-93-3>
methyl ethyl ketone peroxide
   <1338-23-4>
methyl hydrazine<60-34-4>
methyl iodide<74-88-4>
methyl isobutyl ketone<108-10-l>
                         513

-------
                         Accession No.  6302000112
                  (cont)
methyl raercaptan<74-93~l>
methyl methacrylate<80-62-6>
methyl parathlon<298-00-0>
methylthiouracil<56-04-2>
mevlnphos<7786-34-7>
mexacarbate<315-18-4>
mirex<2385-85-5>
molybdenum and compounds
   <7439-98-7>
monoethylamine<75-04-7>
monomethylamine<74-89-5>
montiron
n,n-bis(2-chloroethyl)-2-naphthyla
   Kine<494-03-l>
n-alkanes clO-c30
n-butyl alcohol<71-36-3>
n-butyl phthalate<84-74-2>
n-methyl-n'-nitro-n-nitrosoguanidi
   ne<70-25-7>
n-nitroso-n-ethylurea<759-73-9>
n-nitroso-n-methylurea<684-93-5>
n-nitroso-n-methylurethane
   <615-53-2>
n-nitrosodi-n-butylaraine<924-16-3>
n-nitrosodi-n-propylamine
   <621-64-7>
n-nitrosodiethanolamine<1116-54-7>
n-nitrosodiethylamine<55-18-5>
n-nitrosodiraethylamine<62-75-9>
n-nitrosodlphenylaffline<86-30-6>
n-nitrosoraethyIvInylamine
n-nitrosopiperidine<100-75-4>
n-nitrosopyrrolidine<930-55-2>
n-phenylthlourea
n-propylamine
naled<300-76-5>
naphthalene<91-20-3>
naphthenlc acid<1338-24-5>
nickel ammonium sulfate<7785-20-8>
nickel carbonyl<12612-55-4>
nickel chloride<7718-54-9>
nickel cyanlde<557-19-7>
nickel hydroxide<12054-48-7>
nickel nltrate<13138-45-9>
nickel sulfate<7786-81-4>
nickel<7440-02-0>
nicotine and salts<54-ll-5>
nitralin<4726-14-l>
nitrate<14797-55-8>
nitrates/nitrites
nitric acld<7697-37-2>
nitric oxide<10102-43-9>
nitriloacetates
nitroben2ene<98-95-3>
nitrogen dioxide<10102-44-0>
nitrogen peroxide<10102-44-0>
nitrogen tetroxide<10544-72-6>
nitroglycerine<55-63-0>
nitrophenol<25154-55-6>
nitrosomethylurea<684-93-5>
nitrosomorphollne<59-89-2>
nitrotoluene
nonaphthalene
o-cresol<95-48-7>
o-methoxyphenol< 90-05-1>
o-toluidine hydrochloride
   <636-21-5>
o-xylene<95-47-6>
octamethylpyrophosphoramide (OMPA)
   <152-16-9>
oil and grease
oleyl alcohol condensed uith 2
   moles ethylene oxide
osfflium tetroxide<20816-12-0>
p-chloro-m-cresol<59-50-7>
p-chloroaniline<106-47-8>
p-cresol<106-44-5>
p-dichlorobenzene<106-46-7>
p-dimethylaminoazobenzene<60-ll-7>
p-nitroaniline<100-01-6>
p-xylene<106-42-3>
paraformaldehyde<30525-89-4>
paraldehyde<123-63-7>
paraquat<4685-14-7>
parathion<56-38-2>
pcb-1016 (arochlor 1016)
   <12674-H-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorobenzene<608-93-5>
pentachloroethane<76-01-7>
pentachloronitrobenzene (PCNB)
   <82-68-8>
pentachlorophenol<87-86-5>
                         514

-------
                         Accession No.  6302000112
                  (cent)
perchloroethylene<127-18-4>
perthane<72-56-0>
phenacetin<62-44-2>
phenanthrene< 85-01-8>
phenarsazine chloride<578-94-9>
phenol<108-95-2>
phenyl dichloroarsine<696-28-6>
phenylacetic acid<103-82-2>
Phenylmercury acetate<62-38-4>
phorate 298-0202
phorate<298-02-2>
phosgene<75-44-5>
phosophorothioic acid/o/o-
   dimethyl ester/o-ester nith n,
   n-dimethylbenzene
phosphine<7803-51-2>
phosphoric acid<7664-38-2>
phosphorus and compounds
   <7723-14-0>
phosphorus oxychloride<10025-87-3>
phosphorus pentasulfide<1314-80-3>
phosphorus sulfide<1314-80-3>
phosphorus trichloride<7719-12-2>
phosphorus<7723-14-0>
phthalic acid<88-99-3>
phthalic anhydride<85-44-9>
piperonyl butoxide<51-03-6>
polybrominated biphenyls (PBBs)
polychlorinated biphenyls (PCBs)
potassium arsenate<7784-41-0>
potassium arsejiite<10124-50-2>
potassium bichroraate<7778-50-9>
potassium chromate<7789-00-6>
potassium cyanide<151-50-8>
potassium hydroxide<1310-58-3>
potassium permanganate<7722-64-7>
potassium silver cyanide<506-61-6>
pronamide<23950-58-5>
propachlor<1918-16-7>
propanil<109-98-8>
propargite<2312-35-8>
propionic acid<79-09-4>
propionic anhydride<123-62-6>
propionitrile<107-12-0>
proplyene oxide<75-56-9>
propoxur<114-26-l>
propylene oxide<75-56-9>
pyrene<129-00-0>
pyrethrin<121-29-9>
pyridine<110-86-l>
quinoline<91-22-5>
quinones
radon<10043-92-2>
reserpine<50-55-5>
resorcinol<108-46-3>
ronnel<299-84-3>
rotenone<83-79-4>
sxs,s-tributyl phosphorotrithioate
   <78-48-8>
saccharin<81-07-2>
safrole<94-59-7>
secondary amines
selenious acid<7783-00-8>
selenium oxide<12640-89-0>
selenium sulfide<7446-34-6>
selenium<7782-49-2>
selenourea<630-10-4>
silver cyanide<506-64-9>
silver nitrate<7761-88-8>
silver<7440-22-4>
silvex<93-72-l>
simazine<122-34-9>
sodium and compounds<7440-23-5>
sodium arsenate<7631-89-2>
sodium arsenite<7784-46-5>
sodium azide<26628-22-8>
sodium bichromate<10588-01-9>
sodium bifluoride<1333-83-l>
sodium bisulfite<7631-90-5>
sodium chromate<7775-ll-3>
sodium cyanide<143-33-9>
sodium dodecylbenzenesulfonate
   <25155-30-0>
sodium fluoride<7681-49-4>
sodium fluoroacetate (1060)
   <62-74-8>
sodium hydrosulfide<16721-80-5>
sodium hydroxide<1310-73-2>
sodium hypochlorite<7681-52-9>
sodium methylate<124-41-4>
sodium nitrite<7632-00-0>
sodium phosphates dibasic
   <7558-79-4>
sodium phosphate, tribasic
   <7601-54-9>
sodium S€lenite<10102-18-8>
sodium<7440-23-5>
streptO7Otocin
strobane<8001-50-l>
strontium chromate<7789-06-2>
strontium sulfide<1314-96-l>
strychine<57-24-9>
strychnine<57-24-9>
styrene<100-42-5>
                         515

-------
                             Accession No.   6302000112
                  (cont)
    sulfates
    sulfldes
    sulfonamide
    sulfur dioxide<7446-09-5>
    sulfur monochloride<10025-67-9>
    sulfuric acid<7664-93-9>
    tde<72-54-8>
    terpenes
    te trachloroe thene<127-18-4>
    tetrachloroethyleneC127-18-4>
    tetrachloromethan€<56-23-5>
    tetraethyl  dithiopyrophosphate
       <3689-24-5>
    tetraethyl  lead<78-00-2>
    tetraethyl  pyrophosphate<107-49-3>
    t e tr ahydofur an
    tetranitromethane<509-14-8>
    thallic oxide<1314-32-5>
    thallium acetate<563-68-8>
    thallium carbonate<29809-42-5>
    thallium chloride<7791-12-0>
    thallium nitrate<10102-45-l>
    thallium selenite
    thallium sulfate<7446-18-6>
    thalliura<7440-28-0>
    thioacetamide<62-55-5>
    thiophanate methyl<23564-05-8>
    thioseniicarbazide<79-19-6>
    thiourea<62-56-6>
    thiurara<137-26-8>
    toluene diisocyanate<26471-62-5>
    toluene<108-88-3>
    toluenediamine<25376-45-8>
    toxsjJhene<8001-35-2>
    triellate<2303-17-5>
    tribroraomethane<75-25-2>
    tributyl phosphorotrithioate
       <78-48-8>
    trichlorfon<52-68-6>
    trichloroethane<2S323-89-l>
    trichloroethene<79-01-6>
    trlchloroethylene<79-01-6>
    trichlorof luoroaiethane<75-69-4>
    trichloromethanethiol<75-70-7>
    trichlorophenol (TCP)<25167-82-2>
   onate<27323-41-7>
triethylamine<121-44-8>
trifluraline (treflan)<1582-09-8>
trimethylamine<75-50-3>
trinitrobenzene<99-35-4>
tris(2,3-dibromopropyl)phosphate
   <126-72-7>
trypan blue<72-57-l>
trysben<50-3I-7>
uracil nustard<66-75-l>
uraniura<7440-61-1>
uranyl acetate<541-09-3>
uranyl nitrate<10102-06-4>
urethane<51-79-6>
vanadic acid/ ammonium salt
vanadium pentoxide<1314-62-l>
vanadlum<7440-62-2>
vanadyl sul£ate<27774-13-6>
vinyl acetate<108-05-4>
vinyl chlorlde<75-01-4>
vinylidene chloride<75-35-4>
xylene<1330-20-7>
xylenol<1300-71-6>
zinc acetate<557-34-6>
zinc ammonium chloride
zinc borate<1332-07-6>
zinc bronide<7699-45-8>
zinc carbonate<3486-35-9>
zinc chloride<7646-85-7>
zinc cyanide
zinc fluoride<7783-49-5>
zinc formate<557-41-5>
zinc hydrosulfite<7779-86-4>
zinc nitrate<7779-88-6>
zinc phenol sulfonate<127-82-2>
zinc phosphide
zinc silicofluoride
zinc sulfate<7733-02-0>
zlnc<7440-66-6>
zirconium nitrate<13746-89-9>
zirconium potassium fluoride
   <16923-95-8>
zirconium sulfate<14644-61-2>
zlrconiua tetrachloride
   <10026-ll-6>
    triethanolaraine dodecylbenzenesulf
(CAS)   CAS registry numbers of substances Included in data base:  311-45-
    5; 630-20-6;  71-55-6;  79-34-5;    79-00-5; 79-01-6; 75-34-3;
    75-35-4;  57-14-7;  79-01-6; 95-94-3;   96-12-8; 106-93-4;  95-50-1;
    107-06-2; 78-87-S; 1615-80-1; 540-73-8;   122-66-7; 57-55-6;
    156-60-5; 120-82-1; 541-73-1; 542-75-6; 542-75-6;       504-60-9;
                             516

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                         Accession No.  6302000112     (cont)

1120-71-4; 110-57-6; 106-46-7; 123-91-1; 130-15-4;     5344-82-1;
106-89-8; 86-88-4; 134-32-7; 75-99-0; 58-90-2; 95-95-4;    93-76-5;
93-72-1; 88-06-2; 94-75-7; 120-83-2; 94-75-7; 105-67-9;
51-28-5; 121-14-2; 541-53-7; 87-65-0; 606-20-2; 1338-23-4;
110-75-8;       91-58-7; 95-57-8; 131-89-5; 640-19-7; 80-62-6;
75-55-8; 75-86-5;      91-59-8; 88-75-5; 79-46-9; 109-06-8;
107-19-7; 88-85-7; 91-94-1;      119-90-4; 119-93-7; 205-99-2;
542-76-7; 56-49-5; 72-55-9; 50-29-3;    101-14-4; 534-52-1;
504-24-5; 101-55-3; 3165-93-3; 7005-72-3;    100-02-7; 2763-96-4;
99-55-8; 145-73-3; 83-32-9; 208-96-8; 75-07-0;   64-19-7; 108-24-7;
75-86-5; 67-64-1; 75-05-8; 98-86-2; 506-96-7;      75-36-5;
107-02-8; 79-06-1; 79-10-7; 107-13-1; 124-04-9; 15972-60-8;
309-00-2; 107-18-6; 107-05-1; 80-15-9; 122-09-8; 100-44-7?
20859-73-8; 10043-01-3; 7429-90-5; 33089-61-1; 61-82-5; 7664-41-7;
631-61-8; 1863-63-4; 1066-33-7; 7789-09-5; 1341-49-7; 10192-30-0;
1111-78-0; 506-87-6; 12125-02-9; 7788-98-9; 7632-50-0; 13826-83-0;
12125-01-8; 1336-21-6; 1113-38-8; 131-74-8; 16919-19-0; 7773-06-0;
12135-76-1; 10196-04-0; 3164-29-2; 1762-95-4; 7783-18-8; 628-63-7;
62-53-3; 120-12-7; 7647-^18-9; 11071-15-1; 7789-61-9; 10025-91-9;
7783-56-4; 1309-64-4; 7440-36-0; 140-57-8; 1327-52-2; 1303-32-8;
1303-28-2; 7784-34-1; 1327-53-3; 1303-33-9; 7440-38-2; 1332-21-4;
1912-24-9; 2465-27-2; 115-02-6; 1918-00-9; 542-62-1; 7440-39-3;
1861-40-1; 17804-35-2; 225-51-4; 98-87-3; 71-43-2; 98-09-9;
108-98-5;      92-87-5; 56-55-3; 50-32-8; 191-24-2; 207-08-9;
65-85-0; 100-47-0;     98-07-7; 98-88-4; 100-44-7; 7787-47-5;
7787-49-7; 13597-99-4;    7440-41-7; 58-89-9; 319-84-6; 319-85-7;
319-86-8; 92-52-4; 111-91-1;       111-44-4; 39638-32-9; 117-81-7;
542-88-1; 7440-69-9; 7440-42-8;       7726-95-6; 598-31-2;
108-86-1; 28906-38-9; 75-27-4; 74-83-9;     357-57-3; 23184-66-9;
123-86-4; 85-68-7; 109-73-9; 107-92-6; 75-60-5;      543-90-8;
7789-42-6; 7440-43-9; 7778-44-1; 52740-16-6; 75-20-7;
13765-19-0; 592-01-8; 26264-06-2; 1305-62-0; 7778-54-3; 1305-78-8;
133-06-2; 63-25-2; 1563-66-2; 75-15-0; 630-08-0; 56-23-5; 353-50-4;
75-87-6; 305-03-3; 118-75-2; 57-74-9; 7782-50-5; 107-20-0;
108-90-7;       510-15-6; 124-48-1; 75-00-3; 75-01-4; 110-75-8;
67-66-3; 74-87-3;     107-30-2; 126-99-8; 7790-94-5; 2921-88-2;
1066-30-4; 7738-94-5;       10101-53-8; 7440-47-3; 10049-05-5;
218-01-9; 156-59-2; 8007-45-2;     7440-48-4; 7789-43-7; 544-18-3;
14017-41-5; 544-92-3; 7440-50-8;      56-72-4; 8021-39-4;
1319-77-3; 1319-77-3; 4170-30-3; 98-82-8;    142-71-2; 12002-03-8;
7447-39-4; 3251-23-8; 814-91-5; 10380-29-7;     7758-98-7;
815-82-7; 21725-46-2; 57-12-5; 506-68-3; 506-77-4;    460-19-5;
110-82-7; 108-94-1; 50-18-0; 20830-81-3; 8065-48-3;    55-91-4;
84-74-2; 117-84-0; 621-64-7; 2303-16-4; 333-41-5; 53-70-3;
132-64-9; 189-55-9; 124-48-1; 74-95-3; 84-74-2; 1918-00-9;
1194-65-6;      117-80-6; 25321-22-6; 75-27-4; 75-71-8; 594-04-7;
75-09-2; 696-28-6;       26638-19-7; 62-73-7; 60-57-1; 1464-53-5?
84-66-2; 109-89-7; 56-53-1;       94-58-6; 60-51-5; 131-11-3;
77-78-1; 124-40-3; 79-44-7; 62-75-9;      25154-54-5; 25321-14-6;
123-91-1; 828-00-2; 38622-18-3; 142-84-7;     2764-72-9; 298-04-4;
330-54-1; 27176-87-0; 60-00-4; 1031-07-8;   959-98-8; 33213-65-9;
115-29-7; 7421-93-4; 72-20-8; 106-89-8;    2104-64-5; 136-25-4;


                         517

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                         Accession No.  6302000112     (cont)

563-12-2; 141-78-6; 140-88-5; 75-00-3; 60-29-7;       97-63-2;
62-50-0; 56-38-2; 100-41-4; 107-12-0; 106-93-4; 107-06-2;
75-21-8; 96-45-7; 107-15-3; 151-56-4; 1185-57-5; 14221-47-7;
7705-08-0; 7783-50-8; 10421-48-4; 10028-22-5; 10045-89-3;
7758-94-3;       7720-78-7; 206-44-0; 86-73-7; 7782-41-4; 75-69-4;
50-00-0; 64-18-6;   110-17-8; 110-00-9; 98-01-1; 86-50-0;
1024-57-3; 76-44-8; 118-74-1;   67-68-3; 58-89-9; 77-47-4; 67-72-1;
70-30-4; 1888-71-7; 757-58-4;     302-01-2; 7647-01-0; 74-90-8;
7664-39-3; 74-90-8; 7783-06-4; 75-60-5;      193-39-5; 74-88-4;
7439-89-6; 9004-66-4; 7439-89-6; 78-83-1;     624-83-9; 78-59-1;
78-79-5; 54590-52-2; 120-58-1; 115-32-2; 143-50-0;      303-34-4;
301-04-2; 3687-31-8; 7758-95-4; 7783-46-2; 13814-96-5;
10101-63-0; 10099-74-8; 7446-27-7; 1072-35-1; 1335-32-6; 7446-14-2;
1314-87-0; 592-87-0; 7439-92-1; 58-89-9; 7439-93-2; 14307-35-8;
108-39-4; 108-38-3; 121-75-5; 110-16-7; 108-31-6; 123-33-1;
109-77-3;      7439-96-5; 148-82-3; 2032-65-7> 592-04-1;
10045-94-0; 7783-35-9;      592-85-8; 10415-75-5; 628-86-4;
7439-97-6; 74-93-1; 67-56-1; 91-80-5;      16752-77-5; 72-43-5;
126-98-7; 79-22-1; 71-55-6; 78-93-3; 1338-23-4;       60-34-4;
74-88-4; 108-10-1; 74-93-1; 80-62-6; 298-00-0; 56-04-2;
7786-34-7; 315-18-4; 2385-85-5; 7439-98-7; 75-04-7; 74-89-5;
150-68-5; 494-03-1; 71-36-3; 84-74-2; 70-25-7; 759-73-9; 684-93-5;
615-53-2; 924-16-3; 621-64-7; 1116-54-7; 55-18-5; 62-75-9; 86-30-6;
100-75-4; 930-55-2; 103-85-5; 107-10-8; 300-76-5; 91-20-3;
1338-24-5;      7785-20-8; 12612-55-4; 7718-54-9; 557-19-7;
12054-48-7; 13138-45-9;   7786-81-4; 7440-02-0; 54-11-5; 4726-14-1;
14797-55-8; 7697-37-2;      10102-43-9; 98-95-3; 10102-44-0;
10102-44-0; 10544-72-6; 55-63-0;     25154-55-6; 684-93-5; 59-89-2;
95-48-7; 90-05-1; 636-21-5; 95-47-6;   152-16-9; 20816-12-0;
59-50-7; 106-47-8; 106-44-5; 106-46-7; 60-11-7;      100-01-6;
106-42-3; 30525-89-4; 123-63-7; 4685-14-7; 56-38-2;    12674-11-2;
11104-28-2; 11141-16-5; 53469-21-9; 12672-29-6;      11097-69-1;
110S6-82-5; 608-93-5; 76-01-7; 82-68-8; 87-86-5;     127-18-4;
72-56-0; 62-44-2; 85-01-8; 578-94-9; 108-95-2; 696-28-6;
103-82-2; 62-38-4; 298-02-2; 75-44-5; 7803-51-2; 7664-38-2;
7723-14-0; 10025-87-3; 1314-80-3; 1314-80-3; 7719-12-2; 7723-14-0;
88-S9-3; 85-44-9; 51-03-6; 7784-41-0; 10124-50-2; 7778-50-9;
7789-00-6; 151-50-8; 1310-58-3; 7722-64-7; 506-61-6; 23950-58-5;
1918-16-7; 109-98-8; 2312-35-8; 79-09-4; 123-62-6; 107-12-0;
75-56-9;      114-26-1; 75-56-9; 129-00-0; 121-29-9; 110-86-1;
91-22-5; 10043-92-2;      50-55-5; 108-46-3; 299-84-3; 83-79-4;
78-48-8; 81-07-2; 94-59-7;      7783-00-8; 12640-89-0; 7446-34-6;
7782-49-2; 630-10-4; 506-64-9;      7761-88-8; 7440-22-4; 93-72-1;
122-34-9; 7440-23-5; 7631-89-2;   7784-46-5; 26628-22-8;
10568-01-9; 1333-83-1; 7631-90-5; 7775-11-3;   143-33-9;
25155-30-0; 7681-49-4; 62-74-8; 16721-80-5; 1310-73-2;
7681-52-9; 124-41-4; 7632-00-0; 7558-79-4; 7601-54-9; 10102-18-8;
7440-23-5; 8001-50-1; 7789-06-2; 1314-96-1? 57-24-9; 57-24-9;
100-42-5; 7446-09-5; 10025-67-9; 7664-93-9; 72-54-8; 127-18-4;
127-18-4; 56-23-5; 3689-24-5; 78-00-2; 107-49-3; 109-99-9;
509-14-8;       1314-32-5; 563-68-8; 29809-42-5; 7791-12-0;
101C2-45-1; 7446-18-6;    7440-28-0; 62-55-5; 23564-05-8; 79-19-6;


                         518

-------
                             Accession No.   6302000112     (cont)

    62-56-6;  137-26-8;       26471-62-5; 108-88-3; 25376-45-8;
    8001-35-2;  2303-17-5; 75-25-2;      78-48-8; 52-68-6; 25323-89-1;
    79-01-6;  79-01-6; 75-69-4; 75-70-7;     25167-82-2; 27323-41-7;
    121-44-8; 1582-09-8;  75-50-3;  99-35-4;    126-72-7> 72-57-1;
    50-31-7;  66-75-1; 7440-61-1; 541-09-3;  10102-06-4;      51-79-6;
    11115-67-6; 1314-62-1; 7440-62-2; 27774-13-6; 108-05-4;
    75-C1-4;  75-35-4; 1330-20-7; 1300-71-6; 557-34-6; 1332-07-6;
    769S-45-8;  3486-35-9; 7646-85-7; 7783-49-5; 557-41-5; 7779-86-4;
    7779-88-6;  127-82-2;  1314-84-7; 16871-71-9; 7733-02-0; 7440-66-6;
    13746-89-9; 16923-95-8; 14644-61-2; 10026-11-6
(CNM)  Contact  name(s): Ringsbury^G.L. ;    Helch^R.  ;    Johnson/G.L,
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Engineering and Technology
                             519

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                             Accession No.   6302000113

(DQ)  Date of Questionaire;  12-02-82
(STATUS)  Status of entry: Inactive
(NAM)  Name of Data Base of  Model:  Fugitive Emissions Information
    System
(ACR)  Acronym of Data Base  or Model:  FEIS
(MED)  Media/Subject of Data Base  or Model:  Air  ;Effluents  all
    industries, stationary sources ;Emissions all  industries, st
    Runoff ex. coal pile, waste pile,  wastewater ;Solid  waste
(AfiS)  Abstract/Overview of  Data Base  or  Model:  The  Fugitive Emissions
    Information System (FEIS)  will contain multimedia
    emissions/effluents/discharges data from sampling activities
    performed on site-specific    industrial and energy  processes.
    Data may include source/  process  characteristics,  test procedures
    descriptions, control   technology design and operating parameters,
    meteorological  data, process  fuel or feed material  analysis
    results, and   the results of  chemical,  biological,  physical,  and
    radiological analyses performed on the  collected sample.    The
    FEIS is part of the Environmental  Assessment Data  Systems (EADS).
(CTC)  CONTACTS: Subject matter Gary L. Johnson   (919)  541-7612;
    Computer-related J. Patrick Helder (816) 753-7600;  EPA  Office
    Gary L. Johnson (919) 541-7612
(DTP)  Type of data collection or  monitoring:  Combination/Other
    site-specific ambient (fugitive) sampling
(STA)  Data Base status: Funded for development
(DPO)  Projected operational date  of Data Base:  09-01-83
(GRP)  Groups of substances  represented in  Data  Base: 43 air priority
    chemicals ;5 NESHAPS ;7  criteria NAAQS  ?129  307  CWA  ;  11
    conventional water ;41 CWA potential  criteria ;21 drinking water
    standards ; 9 potential  drinking water  ;29 drinking  water
    monitoring ;299 hazardous substances ;  48 cancelled  pesticides ;9
    monitoring pesticides ;54 TSCA assessment ;      RCRA hazardous
    wastes ;16 Pre-RPAR ;15  metals
(NPP)  Non-pollutant parameters included in the  data base:  Biological
    datE ;Chemical data Collection method  Concentration measures ;
    Discharge points ;Flou rates ;Industry  ;Location ;Physical data ;
    Precipitation ^Production levels ;Sampling date  ;Site description ;
    Temperature ?Test/analysis method  ;Treatment devices ;Volume/mass
    measures ;    wind direction ;Wind velocity  ;Stream  type ;Solar
    insolation ;   background level ;relative humidity  ;cloud  cover
    ;test procedure
(DS)  Time period covered by data  base: 09-30-80 to  09-01-83
(TRH)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: as  needed ;0ther  as
  •  data is submitted for entry
(HOB)  Number of observations in data  base:  O(Actual)
(NEI)  Estimated annual increase of observations in  data base: 50
(INF)  Data base includes:  Raw data/observations
(NTS)  Total number of stations or sources  covered  in data base: 0
(NCS)  No. stations or sources currently originating/contributing  data:
    0
(NOF)  Number of facilities  covered in data base (source monitoring): 0
(GSO)  Geographic coverage of data base:  National


                             520

-------
                             Accession No.   6302000113      (cont)

(LOG)  Data elements identifying location of station or source  include:
    State >City }Town/township ^Street address
(FAC)  Data elements identifying facility include:  Plant facility  name
    ;Plant location ;SIC code ?Program identifier
(CDE)  Pollutant identification data are: CAS registry  number
    Other coding scheme
(LIM)  Limitation/variation in data of which user should be auare:  Confi
    dentiality limitations may restrict     disclosure  of location
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Collect
    ion method documented ;Analysis method documented
(ANL)  Lab analysis based on EPA-approved or accepted methods?  YES
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision and accuracy estimates  exist but are not
    included in data base
(EDT)  Editting: No known edit procedures exist.
(CBY)  Data collected by: SPA lab Industrial Environmental Research
    Laboratory-RTP (ISRL-RTP); Contractor lab several;  Contractor
    several
(ABY)  Data analyzed by: EPA lab Industrial Environmental Research
    Laboratory-Research    Triangle Park (IERU-RTP)
    Contractor Midwest Research institute
(IDL)  Laboratory identification: ND
(AUT)  Authorization for data collection: No statutory  requirement:
    Data collection requirement is    for the purposes  of general
    research and development
(OMB)  Data collected/submitted using OMB-approved  SPA  reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: nothing
    available at this time
(CNF)  Confidentiality of data and limits on access: Limits on  outside
    access for some data
(DLC)  Primary physical location of data: NCC/UNIVAC
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software Environmental  Assessment  Data
    Systems (EADS)  (System 2000)  HIDSJ6 SPA hardware  UNIVAC 1100/82
(CHG)  Direct charge for non-EPA use: no outside use/access permitted
(OPDT)  Frequency of data base master file up-date: Other none  (not yet
    operational)
(RDBEPA)  Related EPA data bases used in conjunction with this  data base
    Environmental Assessment Data Systems:   Fine Particle Emissions
    Information System (FFEIS)/    Gaseous Emissions Data System
    (GEDS), Liquid Effluents Data System (LEDS), Solid  Discharge Data
    System (SDDS)
(CMP)  Completion of form:
    Gary L. Johnson
    OFC: Industrial Environmental Research Laboratory-RTP# AD:  MD-62
    Research Triangle Park North Carolina 27711
    PH: (919) 541-7612
(DF)  Date of form completion: 01-28-83
(NMAT)  Number of substances represented in data base:  778
(NCAS)  Number of CAS registry numbers in data base: 1022
                             521

-------
                             Accession No.   6302000113
                     (cont)
(MAT)  Substances represented in data

    "0,0-diethyl phosphoricacid/0-p-
       nitrophenyl ester<311-45-5>
    0, 0-diethyl-0-(2-j>yrazinyl)
       phoshorothioO,Q-diethyl-s-{2~
       ethylthio)ethyl)ester of
       phosphorodithioicacid
    Q,0-di ethyl-s-nethyl ester of phos
       1,1,1,2-tetrachioroethane
       <630-20-6>
    l,l,l-trichloroethane<71-55-6>
    1,1,2,2,-tetrachloroethane
       <79-34-5>
    l,l,2-trichloroethane<79-00-S>
    l,l,2-trichloroethene<79-01-6>
    Ifl-dichloroethane<75-34-3>
    Ifl-dichloroethylene<75-35-4>
    l,l-diinethylhydrazine
    l,12-trichloroethene<79-01-6>
    l,2,3,4,10,10-he:xachloro-l,4,4a,5,
       8,8a-hexahydro-l, 4:5^8-endo,
       endo-dimetha
    1,2,4,-trichlorobenzene 1,2,4,5-
       tetrachlorobenzene< 95-94-3>
    l,2-dibrorao-3-chloropropane  (dbcp)
       <96-12-8>
    1,2-dibroraoethane<106-93~4>
    1,2-dichlorobenzeno<95-50-l>
    l,2-dichloroethane<107-06-2>
    l,2-dichloropropane<78-87--5>
    l,2-diethylhydrazine<1615~80-l>
    l,2-diraethylhydrazine<540-73-8>
    l,2-diphenylhydrazine<122-66-7>
    l,2-propanediol<57-55-6>
    1,2-trans-dichloroethylene
       <156-60-5>
    1,3,4 trichlorobenzene<120-82-l>
    l,3-dichlorobenzene<541-73-l>
    l,3-dichloropropene<542-75-6>
    1,3-dichloropropylene<542-75-6>
    1,3-pentadiene<504-60-9>
    1,3-propane sultone<1120-71-4>
    l,4-dichloro-2-butene<110-57-6>
    1,4-dichlorobenzene<106-46-7>
    l,4-dioxane<123-91-l>
    1,4-naphthoquinone<130-15-4>
    l-(o-chlorophenyl)thiourea
       <5344-82-l>
    l-(p-chlorobenzoyl)-5-methoxy-2-
       iuethylindole-3-acetic acid
base:
   l-chloro-2,3-epoxypropane
      <106-89-8>
   l-naphthyl-2-thiourea<86-88-4>
   l-naphthylamine<134-32-7>
   2,2-dichloropropionic acid
      <75-99-0>
   2,3, 4,6-tetrachlorophenol<58-90-2>
   2,4,5-t amines
   2,4,5-t esters
   2,4,5-t salts
   2,4,5-tp acid esters
   2,4,5-trichlorophenol<95-95-4>
   2,4,5-trichlorophenoxyacetic acid
      (T)<93-76-5>
   2,4,5-trichlorophenoxypropionic
      acid (TP)<93-72-l>
   2,4,6-trichlorophenol<88-06-2>
   2,4,7,8-te tr achlorodibenzo-p-
      dioxin (tcdd)
   2,4-d acid<94-75-7>
   2,4-d esters
   2,4-dichlorophenol<120-83-2>
   2,4-dichlorophenoxyacetic acid (2,
      4-d)<94-75-7>
   2,4-diraethylphenol<105-67-9>
   2,4-dinitrophenol<51-28-5>
   2,4-dinitrotoluene<121-14-2>
   2,4-dithiobiuret<541-53-7>
   2,6-dichlorophenol<87-65-0>
   2,6-dinitrotoluer»e<606-20-2>
   2-acetylaminoflourene
   2-butanone peroxide<1338-23-4>
   2-chloroethylviny1 ether<110-75-8>
   2-chloronaphthalene<91-58-7>
   2-chlorophenol<95-57-8>
   2-cyclohexyl-4,6-dinltrophenol
      <131-89-S>
   2-fluoroacetamide (1081)<640-19-7>
   2-nethyl-2-(methy1thio)propionalde
      hyde-o-(Bethylcarbonyl)oxime
      <80-62

   2-methylaziridine<75-55-8>
   2-methyllactonitrile<75-86-5>
   2-naphthylamine<91-59-8>
   2-nitrophenol<88-75-5>
   2-nitropropane<79-46-9>
   2-picoline<109-06-8>
   2-propyn-l-01<107-19-7>
   2-sec butyl-4,6-dinitrophenol
      <88-85-7>
                             522

-------
                         Accession No.  6302000113
                  (cent)
3, 3*-dichlorobenzidine<91-94-l>
3,3*-dimethoxybenzidine
3,3*-dimethyl-l(methylthio)-2-
   butanone-O-C(Hiethylafflino)
   carbonyl) oxitne
3,3'-diniethylbenzidln€<119-93-7>
3,4-benzof luoranthene<205-99-2>
3_r4-dihydroxy-alpha-(methylamino)-
   methyl benzyl alcohol
3-chloropropionitrile<542-76-7>
3-methylcholanthrene<56-49-5>
39196-18-4>
4,4'-ddd(p,p'tde)
4, 4'-dde(p,p'-ddx)<72-55-9>
4,4'-ddt<50-29-3>
4, 4"-methylene-bis-(2-chloroanilin
4,6-dinitro-o-cresol<534-52-l>
4-Aminopyridine<504-24-5>
4-bromophenyl phenyl ether
   <101-55-3>
4-chloro-o-toluidine hydrochlorlde
   <3165-93-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nltrophenol<100-02-7>
5- (aminomethyl)-3-isoxazolol
   <2763-96-4>
5-nitro-o-toluidine<99-55-8>
6-anino-l, la/ 2, 8, 8 a/ 8b-hexahydro-
   8-(hydroxymethyl) 8-raethoxy-5-
   methyl-caraba
7,12-dlmethylbenz{a)ant 7-
   oxabicyco L( 2, 2, l)heptane-2, 3-
   dlcarboxyllcacld<145-73-3>
acenaphthene< 83-32 -9>
acenaphthylene<208-96-8>
acetaldehyde<75-07-0>
acetic acid<64-19-7>
acetic anhydride<108-24-7>
acetone cyanohydrin<75-86-5>
acetone<67-64-l>
acetonitrile<75-05-8>
acetophenone<98-86-2>
acetyl bromide<506-96-7>
acetyl chloride<75-36-5>
acidity
acrolein<107-02-9>
acrylamide<79-06-l>
acrylic acid<79-10-7>
acrylonitrile<107-13-l>
adipic acid<124-04-9>
alachlor<15972-60-8>
aldrin<309-00-2>
alkalinity
allyl alcohol<107-18-6>
allyl chloride<107-05-l>
alpha, alpha-dimethylbenzylhydro-
   peroxide<80-15-9>
alpha/ alpha-diroethylphene thy lam ine
   <122-09-8>
alpha-chloroto luene
aluminum phosphide<20859-73-8>
aluminum sulf ate<10043-01-3>
alurainura<7429-90-5>
amitraz (baam)<33089-61-l>
araitrole<61-82-5>
ammonia<7664-41-7>
ammoniuta acetate<63l-61-8>
ammonium benzoate<1863-63-4>
ammonium bicarbonate<1066-33-7>
ammonium bichromate<7789-09-5>
ammonium bifluoride<1341-49-7>
anunoniura bisulf ite<10192-30-0>
ammonium carbamate
ammonium carbonate<506-87-6>
anfflonium chloride<12125-02-9>
ammonium chromate<7788-98-9>
ammonium citrate<7632-50-0>
anmonium f luoborate<13826-83-0>
ammonium t luoride<12125-Ol-8>
ammonium hydroxide<1336-21-6>
ammonium oxalate<1113-38-8>
ammonium picrate<13l-74-8>
ammonium silicof luoride
   <16919-19-0>
ammonium sulf amate<7773-06-0>
ammonium sulf ide<12135-76-l>
ammonium sulf ite<10196-04-0>
ammonium tartrate<3164-29-2>
ammonium thiocyanate<1762-95-4>
ammonium thiosulf ate<7783-18-8>
anyl acetate<628-63-7>
anillne<62-53-3>
anthracene<120-12-7>
antimony pentachloride<76 47-18- 9>
antimony potassium tartrate
antimony tribromide<7789-61-9>
antimony trichloride
antimony trif luoride<7783-56-4>
antimony trioxide<1309-64-4>
antimony<7440-36-0>
aramite<140-57-8>
                         523

-------
                         Accession No.  6302000113
                  (cont)
arsenic acid<1327-52-2>
arsenic disulf ide<1303-32-8>
a r sen I c p e n t ox Id e< 13 0 3 - 2 8- 2>
arsenic trichloride<7784-34-l>
arsenic trioxide<1327-53-3>
arsenic trisulfide<1303-33-9>
arsenic<7440-38-2>
asbestos<1332-21-4>
atrazine<1912-24-9>
auramine<2465-27-2>
azaserine<115-02-6>
banvel-d<1918-00-9>
barium cyanide<542-62-l>
barium<7440-39-3>
benefin<1861-40-l>
benoff.yl<17804-35-2>
benz
benzac
benzal chloride<98-87-3>
benzene<71-43-2>
benzenesulfonyl chloride<98-09-9>
benzenethiol<108-98-5>
benzidine<92-87-5>
benzo(a)anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
benzo(g,h, i)perylene<191-24-2>
benzo(k)fluoranthene<207-08-9>
benzole acid<65-85-0>
benzonitrile<100-47-0>
benzotrichloride<98-07-7>
benzoyl chloride<98-88-4>
benzyl chloridc<100-44-7>
beryllium chloride<7787-47-5>
beryllium dust
beryllium fluoride<7787-49-7>
beryllium nitrate<13597-99-4>
berylliun<7440-41-7>
bhc (lindane)-garania<58-89-9>
bhc-alpha<319-84-6>
bhc-be ta<3 19-85-7>
bhc-delta<319-86-8>
biphenyl<92-52-4>
bis(2-chloroethoxy)wethane
bis(2-chloroethyl)ether
bis(2-chloroisopro?yl) ether
   <39638-32-9>
bis{2-ethylhexyl)phthalate
bis(chloromethyl)ether<542-88~l>
bismuth compounds<7440-69-9>
boron corapounds<7440-42-8>
bromine<7726-95-6>
bromoacetone<598-31-2>
bromobenzene<108-86-l>
bromochloroben2ene<28906-38-9>
b romodich1oromethane<75-27-4>
broiBomethane<74-83-9>
brucine<357-57-3>
butachlor<23184-66-9>
butyl acetate<123-86-4>
butyl benzyl phthalate<85-68-7>
butylamine<109-73-9>
butyric acid<107-92-6>
cacodylic acid and salts<75-60-5>
cadmium acetate<543-90-8>
cadmium brooide<7789-42-6>
cadmium chloride
cadmium<7440-43-9>
calcium arsenate<7778-44-l>
calcium arsenite<52740-l€-6>
calcium carbide<75-20-7>
calcium chromate<13765-19-0>
calcium cyanide<592-01-8>
calcium codecylbenzenesulfonate
   <26264-06-2>
calcium hydroxide<1305-62-0>
calcium hypochlorite<7778-54-3>
calcium oxide<1305-78-8>
captan<133-06-2>
carbaryl<63-25-2>
carbofuran<1563-66-2>
carbon disulfide<75-15-0>
carbon monoxide<630-08-0>
carbon tetrachloride<56-23-5>
carbonyl fluoride<353-50-4>
chloral<75-87-6>
chlorarabucil<305-03-3>
chloranil<118-75-2>
chlordane<57-74-9>
chlorinated naphthalenes
chlorine<7782-50-5>
chloroacetaldehyde<107-20-0>
chlorobenzene<108-90-7>
chlorobenzilate<510-15-6>
chlorodlbroaomethane<124-48-l>
chloroethane<75-00-3>
chloroethene<75-01-4>
chloroethyl vinyl ether<110-75-8>
chlorofluorocarbons
chloroforro<67-66-3>
chloro«ethane<74-87-3>
chlorotnethyl methyl ether
   <107-30-2>
                         524

-------
                         Accession No.  6302000113
                  (cont)
chloroprene<126-99-8>
chlorosulfonic acid<7790-94-5>
chlorpyrifos<2921-88~2>
chromic acetate<1066-30-4>
chromic acid<7738-94-5>
chromic sulfate<10101-53-8>
chrcraiuaK7440~47-3>
chrcmous chloride<10049-05-5>
chrysene<218-01-9>
cis-1, 2-dichloroethylene<156-59-2>
coal tar<8007-45-2>
cobalt<7440-48-4>
cobaltous broraide<7789-43-7>
cobaltous formate<544-18-3>
cobaltous sulfamate
copper cyanide<544-92-3>
copper<7440-50-8>
coun>aphos<56-72-4>
creosote<8021-39-4>
cresoKlSl 9-77-3 >
cresyiic acid<1319-77-3>
crotonaldehyde<4170-30-3>
cumene<98-82-8>
cupric acetate<142-71-2>
cuprlc acetoarsenite<12002-03-8>
cupric chloride<7447-39-4>
cupric nitrate<325l-23-8>
cupric oxalate<814-91-5>
cupric sulfate ammoniated
   <10380-29-7>
cupric sulfate<7758-98-7>
cupric tartrate<8!5-82-7>
cyana7ine<21725-46-2>
cyanide<57-12-5>
cyanogen bromide<506-68-3>
cyanogen chloride<506-77-4>
cyanogen<460-19-5>
cyclohexane<110-82-7>
cyclohexanone<108-94-l>
cyclophosphamide<50-18-0>
daUnomycin<20830-8l-3>
ddd(tde)
ddt
demeton<8065-48-3>
di-isopropylfluorophosphate
   <55-91-4>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
di-r-propylnitrosaffline<621-64-7>
dialkyl ethers
dialkyl phosphates
diallate<2303-16-4>
diazinon<333-41-5>
dibenzo(a,h)anthracene<53-70-3>
dibenzofuran<132-64-9>
dibenzol(a,i)pyrene<189-55-9>
dibromochlorooiethane<124-48-l>
dibroraoroeth3ne<74-95-3>
dlbutyl phthalate<84-74-2>
dicamba<1918-00-9>
dichlobenil<1194-65-€>
dichlone<117-80-6>
dichlorobenzene<25321-22-6>
dichlorobroraomethane<75-27-4>
dichlorodifluoromethane<7S-71-8>
dichloroiodornethane<594-04-7>
dichloromethane<75-09-2>
dichlorophenylarsine<696-28-6>
dichloropropane<78-87-5>
dichloropropene-dichloropropane
   mixture
dichloropropene<542-75-6>
dichlorvos (ddvp)<62-73-7>
dieldrin<60-57-l>
diepoxybutane<1464-53-5>
diethyl phthalate<84-66-2>
diethylaiEin€<109-89-7>
diethylarsine
die thyIstilbes trol<56-53-l>
dihydrosafrole<94-58-6>
dimethoate<60-51-5>
dimethyl phthalate<131-ll-3>
dimethyl sulfate<77-78-l>
diaethylamine<124-40-3>
difflethylcarbaicoyl chloride
   <79-44-7>
dinethylnitrosamine<62-75-9>
dinitrobenzene<25154-54-5>
dinitrophenol
dinitrotoluene<25321-14-6>
dioxane<123-91-l>
dioxin<828-00-2>
dlphenyl ether
diphenylhydrazine<38622-18-3>
dipropylamine
dlquat<2764-72-9>
dissolved oxygen
dissolved solids
disulfoton<298-04-4>
diuron<330-54-l>
dodecylbenzenesulfonic acid
   <27176-87-0>
ebdc's (ethylenebisdithiocarbamate
   s)
                         525

-------
                         Accession Mo.  6302000113
                  (cont)
edt3<60-00-4>
endosulfan sulfate<1031-07-8>
endosulfan-alpha<959-98-8>
eridosulfan-beta<332i3-65-9>
endosulfan<115-29-7>
endriri aldehyde<7421-93-4>
endrin<72-20-6>
epichlorohydriJD<106-89-8>
epn (ethyl-p-nitrophenyl thionoben
   2enephosonateX2104-64-5>
erbon<136-25-4>
ethion<563-12-2>
ethyl  ethyl acrylate<140-88-5>
ethyl chloride<75-00-3>
ethyl ether<60-29-7>
ethyl methacrylate<97-63-2>
ethyl methanesulfonate<62-5Q-0>
ethyl parathion<56-38-2>
etbylbenzene
ethylcyanide<107-12-0>
ethylene bisdlthlocarbanate
ethjlene dibroraide (edb)
ethylene dichloride<107~06-2>
ethylene oxide<75-21-8>
ethylene thiourea<96-45-7>
ethylenedlauiine<107-15-3>
ethyleneimine<151-56-4>
fecal coliforia
ferric ammonium citrate<1185-57~5>
ferric ammonium oxalate
   <14221-47-7>
ferric chloride<7705-08-0>
ferric cyanide
ferric fluoride<7783-50-8>
ferric nitrate<10421-48-4>
ferric sulfate<10028-22-5>
ferrous aminoniuJB sulf ate
   <10045-89-3>
ferrous chloride<7758-94-3>
ferrous sulfate<7720-78-7>
fluoranthene<206-44-0>
fluorene<86-73-7>
fluorides
fluorine<7782-41-4>
fluoroacetic acid^ sodium salt
fluorotrichloroinethane<75-69-4>
forn'aldehyde<50-00-0>
formic acid<64-18-6>
furaaric acld<110-17-8>
furen<110-00-9>
furfural<98-01-l>
glycidylaldehyde
gross alpha
guthion<86-50-0>
heptachlor epoxide<1024-57-3> r
hep tachlor<76-44-8>
hexachlorobenzene<118-74-l>
hexachlorobutadiene<87-68-3>
hexachlorocyclohexane<58-89-9>
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
hexachlorophene<70-30-4>
hexachloropropene<1888-71-7>
hexaethyl tetraphosphate<757-58-4>
hydra2ine<302-01-2>
hydrocarbons
hydrochloric acid<7647-01-0>
hydrocyanic acid<74-90-8>
hydrofluoric acid<7664-39-3>
hydrogen cyanide<74-90-8>
hydrogen sulfide<7783-06-4>
hydroxydimethyl arsine oxide
   <75-60-5>
indeno (1^2,3-cd)pyrene<193-39-5>
iodomethane<74-88-4>
iron and compounds<7439-89-6>
iron dextran<9004-66-4>
iron<7439-89-6>
isobutyl alcohol<78-83-l>
isocyanic acid^ methyl ester
   <624-83-9>
isophorone<78-59-l>
lsoprene<78-79-5>
isopropanolaraine dodecylbenzene
   sulfonate<54590-52-2>
isosafrole<120-58-l>
kelthane<115-32-2>
kepone<143-50-0>
lasiocarpine<303-34-4>
lead acetate<301-04-2>
lead arsenate<3687-31-8>
lead chloride<7758-95-4>
lead fluoride<7783-46-2>
lead fluoroborate<13814-96-5>
lead iodide<10101-63-0>
lead nitrate<10099-74-8>
lead phosphate<7446-27-7>
lead st€arate<1072-35-l>
lead subacetate<1335-32-6>
lead sulfate<7446-14-2>
lead sulfide<1314-87-0>
lead thiocyanate<592~87-0>
lead<7439-92-l>
lindane<58-89-9>
                         526

-------
                         Accession No.  6302000113
                  (cont)
lithium and corcpounds<7439-93-2>
lithium chromate<14307-35-8>
m-cresol
m-xylene<108-38-3>
malathion<121-75-5>
maleic acid<110-16-7>
maleic anhydride<108-31-6>
maleic hydrazide<123~33-l>
malouonitrile<109-77-3>
manganese<7439-96-5>
manirade beta
mate
melphalan<148-82-3>
mercaptodimethur<2032-65-7>
mercuric cyanide<592-04-l>
mercuric nitrate<10045-94-0>
mercuric sulfate<7763-35-9>
mercuric thiocyanate<592-85-8>
mercurous nitrate<10415-75-5>
mercury fulminate<628-86-4>
mercury<7439-97-6>
raethanearsonates
methanethiol<74-93-l>
methanol<67-56-l>
methapyrilene<91-80-5>
methorayl<16752-77-5>
methoxychlor<72-43-5>
methyacrylotiitrile<126-98-7>
methyl chlorocarbonate<79-22-l>
methyl chloroforra<71-55-6>
methyl ethyl ketone (mek)<78-93-3>
methyl ethyl ketone peroxide
   
methyl hydrazine<60-34-4>
methyl iodide<74-88-4>
methyl isobutyl ketone<108-10-l>
methyl mercaptan<74-93-l>
methyl methacrylate<80-62-6>
methyl parathion<298-00-0>
methylthiouracil<56-04-2>
mevinphos<7786-34-7>
mexacarbate<315-18-4>
microbiology ccliform bacteria
mirex<2385-85-5>
molybdenum and compounds
   <7439-98-7>
monoethylamine<75-04-7>
monomethylamine< 74-89- 5>
monuron
n^ n-bis(2-chloroethyl)-2-naphthyla
   mine<494-03-l>
n-alkanes clO-c30
n-butyl alcohol<71-36-3>
n-butyl phthalate<84-74-2>
n-fflethyl-n'-nitro-n-nitrosoguanidl
   ne<70-25-7>
n-nitroso-n-ethylurea<759-73-9>
n-nitroso-n-aaethylurea<684-93-5>
n-nitroso-D-sne thy lure thane
   <615-53-2>
n-nitrosodi-n-butylamine<924-16-3>
n-nitroscdi-n-propylamine
   <621-64-7>
n-nitrosodiethanolamine<1116-54-7>
n~nitroscdiethylamlne<55-18-5>
n-nitroscdinethylamine<62-75-9>
n-nitrosodiphenylamine<86-30-6>
n-nitrosomethylvinylamine
n-nitrosopiperidine<100-75-4>
n-nitrosopyrrolidine<930-55-2>
n-phenylthiourea<103-85-5>
n-propylamine<107-10-8>
naled<300-76-5>
naphthalene<91-20-3>
naphthenic acid<1338-24-5>
nickel ammonium sulfate<7785-20-8>
nickel carbonyl<12612-55-4>
nickel chloride<7718-54-9>
nickel cyanide<557-19-7>
nickel hydroxide<12054-48-7>
nickel nitrate<13!38-45-9>
nickel sulfate<7786-81-4>
nickel<7440-02-0>
nicotine and salts<54-ll-5>
nitralin<4726-14-l>
nitrate<14797-55-8>
nitrates/nitrites
nitric acid<7697-37-2>
nitric oxide<10102-43-9>
nitriloacetates
nitrobenzene<98-95-3>
nitrogen dioxide<10102-44-0>
nitrogen peroxide<10102-44-0>
nitrogen tetroxide<10544-72-6>
nitrogen<7727-37-9>
nitroglycerine<55-63-0>
nitrophenol<25154-55-6>
nitroscmethylurea<684-93-5>
nitrosomorpholine<59-89-2>
nitrotoluene
nonaphthalene
o-cresol<95-48-7>
o-methoxyphenol<90-05-l>
                         527

-------
                         Accession No.  6302000113
                  (cont)
o-toluidine hydrochlor ide
   <636-21-5>
o-xylene<95-47-6>
oc tame thylpyrophosphor amide (QMPA)
   <152-16-9>
oil and grease
oleyl alcohol condensed with 2
   Boles ethylene oxide
osmium tetroxide<20816-12-0>
oxygen demand
ozone<10028-15-6>
p-chloro-m-cresol<59-50-7>
p-chloroaniliiie< 106-47-8>
p-cresol<106-44-5>
p-dichlorobenzene<106-46-7>
p- dimethyl am inoazobenzene<60-ll-7>
p-nitroani1ine<100-01-6>
p-xylene<106-42-3>
paraformaldehyde<30525-89-4>
par aldehyde< 123-63 -7>
paraquat<4685-14-7>
parathion<56~38-2>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachloroben2ene<608-93-5>
pentachloroethane<76-01-7>
pentachloronitrobenzene (PCNB)
   <82-68-8>
pentachlorophenol<87-86-5>
perchloroethylene<127-18-4>
perthane<72-56-0>
ph
phenacetin<6 2-44-2>
phenanthrene<85-01-8>
phenarsazine chloride<578-94-9>
phenol<108-95-2>
phenyl dichloroarsine<696-28-6>
phenylacetic acid<103-82-2>
phenylmercury acetate<62-38-4>
phorate 298-0202
phorate<298-02-2>
phosgene<75-44-5>
phosophorothioic acid/o/o-
   dimethyl ester/o-ester with n,
   n-diocthyl
   benzene
phosphine<7803-51-2>
phosphoric acid<7664-38-2>
phosphorus and compounds
   <7723-14-0>
phosphorus oxychloride<10025-87-3>
phosphorus pentasulfide<1314-80~3>
phosphorus sulfide
phosphorus trichloride<7719-12-2>
phosphorus<7723-14-0>
photon emitters
phthalic acid<88-99-3>
phthalic anhydride<85-44-9>
piperonyl butoxide<51-03-6>
polybtOBiinated biphenyls (PBBs)
polychloiinated biphenyls (PCBs)
potassiun arsenate<7784-41-0>
potassium arsenite<10124-50-2>
potassium bichromate<7778-50-9>
potassium chromate<7789-00-6>
potassiun cyanide<151-50-8>
potassiua hydroxide<1310-53-3>
potassiuoi permanganate<7722-64-7>
potassiuo silver cyanide<506-61-6>
pronamide<23950-58-5>
propachlor<1918-16-7>
propanil<109-98-8>
propargite<2312-35-8>
propionic acld<79-09-4>
propionic anhydride<123-62-6>
propionitrile<107-12-0>
proplyene oxide<75-56-9>
propoxur<114-26-l>
propylene oxide<75-56-9>
pyrene<129-00-0>
pyrethrin<121-29-9>
pyridine<110-86-l>
quinoline<91-22-5>
quinones
radium 226<13982-63-3>
radium 228<15262-20-1>
radon<10043-92-2>
reserpine<50~55-5>
resorcinol<108-46-3>
ronnel<299-84-3>
rotenone<83-79-4>
                         528

-------
                         Accession No.  6302000113
                  (cont)
s,s,s-tributyl phosphorotrithioate
   <78-48-8>
saccharin<81-07-2>
safrole<94-59-7>
secondary amines
selenious acid<7783-00-8>
selenium oxide<12640-89-0>
selenium sulfide<7446-34-6>
selenium<7782-49-2>
selenourea<630-10-4>
silver cyanide<506-64-9>
silver nitrate<776l-88-8>
silver<7440-22-4>
silvex<93-72-l>
simazine<122-34-9>
sodium and compounds<7440-23-5>
sodium arsenate<7631-89-2>
sodium arsenite<7784-46-5>
sodium azide<26628~22-8>
sodium bichromate<10588-01-9>
sodium bifluoride<1333-83-l>
sodium bisulfite<7631-90-5>
sodium chromate<7775-ll-3>
sodium cyanide<143-33-9>
sodium dodecylbenzenesulfonate
   <25155-30-0>
sodium fluoride<7681-49-4>
sodium fluoroacetate (1080)
   <62-74-8>
sodium hydrosulflde<16721-80-5>
sodium hydroxide<1310-73-2>
sodium hypochlorite<7681-52-9>
sodium methylate<124-41-4>
sodium nitrite<7632-00-0>
sodium phosphate, dibasic
   <7558-79-4>
sodium phosphate, tribasic
   <7601-54-9>
sodium selenite<10102-18-8>
sodium<7440-23-5>
streptozotocin
strobane<8001-50-1>
strontium chromate<7789-06-2>
strontium sulfide<1314-96-l>
strychine<57-24-9>
strychnine<57-24-9>
styrene<100-42-5>
suliates
sulfides
sulfonaraide
sulfur dloxide<7446-09-5>
sulfur monochloride<10025-67-9>
sulfurlc acid<7664-93-9>
suspended solids
tde<72-54-8>
terpenes
tetrachloroethene<127-18-4>
tetrachloroethylene<127-18-4>
tetrachlororaethane<56-23-5>
tetraethyl dithlopyrophosphate
   <3689-24-5>
tetraethyl lead<78-00-2>
tetraethyl pyrophosphate<107-49-3>
tetrahydofuran<109-99-9>
tetranitromethane<509-14~8>
thalllc oxide<1314-32-5>
thallium acetate<563-68-8>
thallium carbonate<29809-42-5>
thallium chloride<7791-12-0>
thallium nitrate<10102-45-l>
thallium selenite
thallium sulfate<7446-18-6>
thallium<7440-28-0>
thioacetamide<62-55-5>
thiophanate raethyl<23564-05-8>
thiosemicarbazide<79-19-6>
thiourea<62-56-6>
thiuraro<137-26-8>
toluene diisocyanate<26471-62-5>
toiuene<108-88-3>
toluenediamine<25376-45-8>
total suspended particulates
toxaphene<8001-35-2>
triallate<2303-17-5>
tribromomethane<75-25-2>
tributyl phsophorotrlthioate
   <78-48-8>
trichlorfon<52-68-6>
trichloroethane< 25323-89-l>
trichloroethene<79-01-6>
trichloroethylene<79-01-6>
trichiorofluoromethane<75-69-4>
trichioromethanethiol<75-70-7>
trichlorophenol 
triethanolamine dodecylbenzenesulf
   onate<27323-41-7>
triethylamine<121-44-8>
trifluraline (treflan)<1582-09-8>
trimethylamine<75-50-3>
trinitrobenzene<99-35-4>
tris(2,3-dibromopropyl)phosphate
   <126-72-7>
trypan blue<72-57-l>
trysben<50-31-7>
                         529

-------
                             Accession No.   6302000113     (cont)

    turbidity                            zinc bronide<7699-45-8>
    uracil «mstard<66-75-l>              zinc carbonate<3486-35-9>
    uranium<7440-61-l>                   zinc chloride<7646-85-7>
    uranyl acetate<541-09-3>              zinc cyanide
    uranyl nitrate<10102-06-4>           zinc f lxioride<7783-49-5>
    urethane<51-79-6>                    zinc forroate<557-41-5>
    vanadic acid,  ammonium salt          zinc hydrosulfite<7779-86-4>
       <11115-67-6>                      zinc nitrate<7779-88-6>
    vanadium pentoxide<1314-62-l>        zinc phenol sulfonate<127-82-2>
    vanadiura<7440-62-2>                  zinc phosphide<1314-84-7>
    vanadyl sulfate<27774-13-6>          zinc silicofluoride<16871-71-9>
    vinyl acetate<108-05-4>              zinc sulfate<7733-02-0>
    vinyl chloride<75-01-4>              zinc<7440-66-6>
    vinylidene chloride<75-35-4>          zirconium nitrate<13?46-89-9>
    xylene<1330-20-7>                    zirconium potassium fluoride
    xylenol<1300-71-6>                      <16923-95-8>
    zinc acetate<557-34-6>               zirconium sulfate<14644-61-2>
    zinc ammonium chloride               zirconiua tetrachloride
    zinc borate<1332-07-6>                  <10026-ll-6>
(CAS)  CAS registry numbers of substances included in data base: 311-45-
    5; 630-20-6; 71-55-6; 79-34-5;    79-00-5; 79-01-6; 75-34-3;
    75-35-4; 57-14-7; 79-01-6; 95-94-3;   96-12-8; 106-93-4; 95-50-1;
    107-06-2; 78-87-5; 1615-80-1; 540-73-8;    122-66-7; 57-55-6;
    156-60-5; 120-82-1; 541-73-1; 542-75-6;  542-75-6;       504-60-9;
    1120-71-4; 110-57-6; 106-46-7; 123-91-1; 130-15-4;     5344-82-1;
    106-89-8; 86-88-4; 134-32-7;  75-99-0; 58-90-2; 95-95-4;    93-76-5;
    93-72-1; 88-06-2; 94-75-7; 120-83-2; 94-75-7; 105-67-9;
    51-28-5; 121-14-2; 541-53-7;  87-65-0; 606-20-2; 1338-23-4;
    110-75-8;       91-58-7;  95-57-8; 131-89-5; 640-19-7; 80-62-6;
    75-55-8; 75-86-5;      91-59-8; 88-75-5; 79-46-9; 109-06-8;
    107-19-7; 88-85-7; 91-94-1;      119-90-4; 119-93-7; 205-99-2;
    542-76-7; 56-49-5; 72-55-9; 50-29-3;    101-14-4; 534-52-1;
    504-24-5; 101-55-3; 3165-93-3; 7005-72-3;    100-02-7; 2763-96-4;
    99-55-8; 145-73-3; 83-32-9; 208-96-8; 75-07-0;   64-19-7; 108-24-7;
    75-86-5; 67-64-1; 75-05-8; 98-86-2; 506-96-7;      75-36-5;
    107-02-8; 79-06-1; 79-10-7; 107-13-1; 124-04-9; 15972-60-8;
    309-00-2; 107-18-6; 107-05-1; 80-15-9;  122-09-8; 100-44-7;
    20859-73-8; 10043-01-3; 7429-90-5; 33089-61-1; 61-82-5; 7664-41-7;
    631-61-8; 1863-63-4; 1066-33-7; 7789-09-5; 1341-49-7; 10192-30-0;
    1111-78-0; 506-87-6; 12125-02-9; 7788-98-9; 7632-50-0; 13826-83-0;
    12125-01-8; 1336-21-6; 1113-38-8; 131-74-8; 16919-19-0; 7773-06-0;
    12135-76-1; 10196-04-0; 3164-29-2; 1762-95-4; 7783-18-8; 628-63-7;
    62-53-3; 120-12-7; 7647-18-9; 11071-15-1; 7789-61-9; 10025-91-9;
    7783-56-4; 1309-64-4; 7440-36-0; 140-57-8; 1327-52-2; 1303-32-8;
    1303-28-2; 7784-34-1; 1327-53-3; 1303-33-9; 7440-38-2; 1332-21-4;
    1912-24-9; 2465-27-2; 115-02-6; 1918-00-9; 542-62-1; 7440-39-3;
    1861-40-1; 17804-35-2; 225-51-4; 98-87-3; 71-43-2; 98-09-9;
    108-98-5;      92-87-5; 56-55-3; 50-32-8; 191-24-2; 207-08-9;
    65-85-0; 100-47-0;     98-07-7; 98-88-4; 100-44-7; 7787-47-5;
    7787-49-7; 13597-99-4;    7440-41-7; 58-89-9; 319-84-6; 319-85-7;
    319-86-8; 92-52-4; 111-91-1;        111-44-4; 39638-32-9; 117-81-7;
    542-88-1; 7440-69-9; 7440-42-8;       7726-95-6; 598-31-2;


                             530

-------
                         Accession No.  6302000113     (cent)

108-86-1; 28906-38-9; 75-27-4; 74-83-9;     357-57-3; 23184-66-9;
123-86-4; 85-68-7; 109-73-9; 107-92-6; 75-60-5;      543-90-8;
7789-42-6; 7440-43-9; 7778-44-1; 52740-16-6; 75-20-7;
13765-19-0; 592-01-8; 26264-06-2; 1305-62-0; 7778-54-3; 1305-78-8;
133-06-2; 63-25-2; 1563-66-2; 75-15-0; 630-08-0; 56-23-5; 353-50-4;
75-87-6; 305-03-3; 118-75-2; 57-74-9; 7782-50-5; 107-20-0;
108-90-7;       510-15-6; 124-48-1; 75-00-3; 75-01-4; 110-75-8;
67-66-3; 74-87-3;     107-30-2; 126-99-8; 7790-94-5; 2921-88-2;
1066-30-4; 7738-94-5;       10101-53-8; 7440-47-3; 10049-05-5;
218-01-9; 156-59-2; 8007-45-2;     7440-48-4; 7789-43-7; 544-18-3;
544-92-3; 7440-50-8; 56-72-4;    8021-39-4; 1319-77-3; 1319-77-3;
4170-30-3; 98-82-8; 142-71-2;   12002-03-8; 7447-39-4; 3251-23-8;
814-91-5; 10380-29-7; 7758-98-7;    815-82-7; 21725-46-2; 57-12-5;
506-68-3; 506-77-4; 460-19-5;     110-82-7; 108-94-1; 50-18-0;
20830-81-3; 8065-48-3; 55-91-4; 84-74-2;      117-84-0; 621-64-7;
2303-16-4; 333-41-5; 53-70-3; 132-64-9; 189-55-9;      124-48-1;
74-95-3; 84-74-2; 1918-00-9; 1194-65-6; 117-80-6;      25321-22-6;
75-27-4; 75-71-8; 594-04-7; 75-09-2; 696-28-6; 78-87-5;   542-75-6;
62-73-7; 60-57-1; 1464-53-5; 84-66-2; 109-89-7; 56-53-1;
94-58-6; 60-51-5; 131-11-3; 77-78-1; 124-40-3; 79-44-7; 62-75-9;
25154-54-5; 25321-14-6; 123-91-1; 828-00-2; 38622-18-3; 142-84-7;
2764-72-9; 298-04-4; 330-54-1; 27176-87-0; 60-00-4; 1031-07-8;
959-98-8; 33213-65-9; 115-29-7; 7421-93-4; 72-20-8; 106-89-8;
2104-64-5; 136-25-4; 563-12-2; 140-88-5; 75-00-3; 60-29-7; 97-63-2;
62-50-0; 56-38-2; 100-41-4; 107-12-0; 106-93-4; 107-06-2; 75-21-8;
96-45-7; 107-15-3; 151-56-4; 1185-57-5; 14221-47-7; 7705-08-0;
7783-50-8; 10421-48-4; 10028-22-5; 10045-89-3; 7758-94-3;
7720-78-7;       206-44-0; 86-73-7; 7782-41-4; 75-69-4; 50-00-0;
64-18-6; 110-17-8;    110-00-9; 98-01-1; 86-50-0; 1024-57-3;
76-44-8; 118-74-1; 87-68-3;    58-89-9; 77-47-4; 67-72-1; 70-30-4;
1888-71-7; 757-58-4; 302-01-2;    7647-01-0; 74-90-8; 7664-39-3;
74-90-8; 7783-06-4; 75-60-5; 193-39-5;      74-88-4; 7439-89-6;
9004-66-4; 7439-89-6; 78-83-1; 624-83-9; 78-59-1;      78-79-5;
54590-52-2; 120-58-1; 115-32-2; 143-50-0; 303-34-4;     301-04-2;
3687-31-8; 7758-95-4; 7783-46-2; 13814-96-5; 10101-63-0;
10099-74-8; 7446-27-7; 1072-35-1; 1335-32-6; 7446-14-2; 1314-87-0;
592-87-0; 7439-92-1; 58-89-9; 7439-93-2; 14307-35-8; 108-39-4;
108-38-3; 121-75-5; 110-16-7; 108-31-6; 123-33-1; 109-77-3;
7439-96-5; 148-82-3; 2032-65-7; 592-04-1; 10045-94-0; 7783-35-9;
592-85-8; 10415-75-5; 628-86-4; 7439-97-6; 74-93-1; 67-56-1;
91-80-5;      16752-77-5; 72-43-5; 126-98-7; 79-22-1; 71-55-6;
78-93-3; 1338-23-4;       60-34-4; 74-88-4; 108-10-1; 74-93-1;
80-62-6; 298-00-0; 56-04-2;      7786-34-7; 315-18-4; 2385-85-5;
7439-98-7; 75-04-7; 74-89-5;     150-68-5; 494-03-1; 71-36-3;
84-74-2; 70-25-7; 759-73-9; 684-93-5;    615-53-2; 924-16-3;
621-64-7; 1116-54-7; 55-18-5; 62-75-9; 86-30-6;   100-75-4;
930-55-2; 103-85-5; 107-10-8; 300-76-5; 91-20-3; 1338-24-5;
7785-20-8; 12612-55-4; 7718-54-9; 557-19-7; 12054-48-7; 13138-45-9;
7786-81-4; 7440-02-0; 54-11-5; 4726-14-1; 14797-55-8; 7697-37-2;
10102-43-9; 98-95-3; 10102-44-0; 10102-44-0; 10544-72-6; 7727-37-9;
55-63-0; 25154-55-6; 684-93-5; 59-89-2; 95-48-7; 90-05-1; 636-21-5;
95-47-6; 152-16-9; 20816-12-0; 10028-15-6; 59-50-7; 106-47-8;


                         531

-------
                             Accession No.  6302000113     (cent)

    106-44-5; 106-46-7; 60-11-7; 100-01-6; 106-42-3; 30525-89-4;
    123-63-7; 4685-14-7; 56-38-2; 12674-11-2; 11104-28-2; 11141-16-5;
    53469-21-9; 12672-29-6; 11097-69-1; 11096-82-5; 608-93-5; 76-01-7;
    82-68-8; 87-86-5; 127-18-4; 72-56-0; 62-44-2; 85-01-8; 578-94-9;
    108-95-2; 696-28-6; 103-82-2; 62-38-4; 298-02-2; 75-44-5;
    7803-51-2;       7664-38-2; 7723-14-0; 10025-87-3; 1314-80-3;
    1314-80-3; 7719-12-2;    7723-14-0; 88-99-3; 85-44-9; 51-03-6;
    7784-41-0; 10124-50-2;     7778-50-9; 7789-00-6; 151-50-8;
    1310-58-3; 7722-64-7; 506-61-6;       23950-58-5? 1918-16-7;
    109-98-8; 2312-35-8; 79-09-4; 123-62-6;   107-12-0; 75-56-9;
    114-26-1; 75-56-9; 129-00-0; 121-29-9; 110-86-1;   91-22-5;
    13982-63-3; 15262-20-1; 10043-92-2; 50-55-5; 108-46-3;
    299-84-3; 83-79-4; 78-48-8; 81-07-2; 94-59-7; 7783-00-8;
    12640-89-0;       7446-34-6; 7782-49-2; 630-10-4; 506-64-9;
    7761-88-8; 7440-22-4;       93-72-1; 122-34-9; 7440-23-5;
    7631-89-2; 7784-46-5; 26628-22-8;       10588-01-9; 1333-83-1;
    7631-90-5; 7775-11-3; 143-33-9; 25155-30-0;    7681-49-4; 62-74-8;
    16721-80-5; 1310-73-2; 7681-52-9; 124-41-4;       7632-00-0;
    7558-79-4; 7601-54-9; 10102-18-8; 7440-23-5; 8001-50-1;
    7789-06-2; 1314-96-1; 57-24-9? 57-24-9? 100-42-5; 7446-09-5;
    10025-67-9; 7664-93-9; 72-54-8; 127-18-4; 127-18-4; 56-23-5;
    3689-24-5; 78-00-2; 107-49-3; 109-99-9; 509-14-8; 1314-32-5;
    563-68-8; 29809-42-5; 7791-12-0; 10102-45-1; 7446-18-6; 7440-28-0;
    62-55-5; 23564-05-8; 79-19-6; 62-56-6; 137-26-8; 26471-62-5;
    108-88-3; 25376-45-8; 8001-35-2; 2303-17-5; 75-25-2; 78-48-8;
    52-68-6; 25323-89-1; 79-01-6; 79-01-6; 75-69-4; 75-70-7;
    25167-82-2;       27323-41-7; 121-44-8; 1582-09-8; 75-50-3;
    99-35-4? 126-72-7; 72-57-1;      50-31-7; 66-75-1? 7440-61-1;
    541-09-3; 10102-06-4; 51-79-6?      11115-67-6; 1314-62-1;
    7440-62-2; 27774-13-6; 108-05-4; 75-01-4;      75-35-4; 1330-20-7;
    1300-71-6? 557-34-6? 1332-07-6? 7699-45-8;   3486-35-9? 7646-85-7?
    7783-49-5? 557-41-5; 7779-86-4; 7779-88-6;      127-82-2;
    1314-84-7; 16871-71-9; 7733-02-0; 7440-66-6; 13746-89-9;
    16923-95-8? 14644-61-2; 10026-11-6
(CNH)  Contact name(s): Johnson/G.L.   ;    Heider,J.P.    ;
    Johrson/^G.L.
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Engineering and Technology
                             532

-------
                             Accession No.   6303000106

(DQ)  Date of Questionaire:  12-02-82
(MAM)  Name of Data Base of  Model:  Organic  Chemical Producers  Data  Base
(ACR)  Acronym of Data Base  or Model:  OCPDB
(MED)  Kedia/Subject of Data Base or Model: No specific media  This  data
    base lists organic chemicals, their  properties/   producers, and
    describes processes by which they are produced.
(ABS)  Abstract/ Over view of  Data Base or Model: The data base  includes
    almost 600 chemicals and their   more than 1,300 producers.
    Chemicals are described  by Chemical  Abstracts  Services  (CAS)
    registry number, Wiswesser Line    notation (WLN),  chemical  uses,
    synonyms/     economic data, and producers.  Locations  of  producers
    are   described by city, state, county, EPA region, and  river
    basin.   The  chemicals that are produced at each location  are
    listed, along with nameplate capacities  when     available.
(CTC)  CONTACTS:  Subject matter   M. J. Stutsman  (513) 684-4481 ;
    Computer-related  M. J.    Stutsman (513) 684-4481   ; EPA  Office
    M. J. Stutsman (513) 684-4481
(DTP)  Type of data collection or monitoring: Combination/Other
    literature and personal  contacts
(STA)  Data Base  status; Operational/ongoing
(NPP)  Non-pollutant parameters included in the data base:  Chemical
    data ;Cost/econoraic data ^Discharge points ^Geographic  subdivision
    ;    Industry ^Location  ^Manufacturer /Political subdivisions
    ^Production levels }  Use  ^process descriptions
(DS)  Time period covered by data base: 02-01-76 TO 06-30-81
(TRM)  Termination of data collection: Sot  anticipated
(FRQ)  Frequency  of data collection or sampling: as needed
(NOD)  Number of  observations in data base: 2492.(Estimated)
(NSI)  Estimated  annual increase of observations in data base:  (N/A.)
(INF)  Data base  includes: Reference data/citations
(UTS)  Total number of stations or sources  covered in data  base: 1246,
(NCS)  No. stations or sources currently originating/contributing data:
    1246.
(NQF)  Eumber of  facilities  covered in data base (source monitoring): 12
    46.
(GEQ)  Geographic coverage of data base: National
(LQC)  Data elements identifying location of station or source include:
    State ;City ;County ^Town/township ;Qther-Air Quality Control
    Region ; Other-River basin ;Other-U. S,  Geological  Survey River
    Basin code
(FAC)  Data elements identifying facility include:  Plant facility name
    ;Plciit location ^Parent  corp name jParent corp  location  }
    Proqram identifier
(CDE)  Pollutant  identification data are: CAS registry  number
(LIM)  Limitation/variation  in data of which user should be  aware:  the
    data base includes high  volume, organic  chemical  products are
    included/ exclusively.  Quality  assurance aspects  are  not
    applicable.
(DPR)  Data collect./anal. procedures conform to ORD guidelines: Collect
    ion method documented ;Analysis method  documented  ;Q& procedures
    document
(AUD)  Lab Audit: Data not based on lab analysis.


                             533

-------
                             Accession No.   6303000106      (cont)

(EOT)  Editting:  Edit procedures used but undocumented.
(CBY)  Data collected by;  Contractor lab Monsanto,  Radian,  Systems
    Science  and  Software
(ABY)  Data analyzed by:  Contractor Radian,  Systems Science and
    Software
(IDL)  Laboratory identification:  NO
(PR1)  Primary purpose of  data collection: Development  of regulations
    or standards
(FR2)  Secondary  purpose  of data collection:  Trend  assessment
(AOT)  Authorization for  data collection: No statutory  requirement:
    Data collection requirement is    To compile a  list  of  producers  of
    major chemicals in order to facilitate   SPA sampling programs  and
    inventories.
(OMB)  Data collected/submitted using GMB-approved  EPA  reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base:  Publications
    Unpublished reports
    printouts on  request
    Machine-readable ran  data
(BUS)  dumber of  regular  users of data base:  50
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Toxic Substances
    EPA headquarter offices Office of Solid  Waste
    EPA headquarter offices Office of Air Quality Planning  and
    Standards
    EPA regional  offices
    EPA laboratories
    Other federal agencies
    States
    local government agencies
    Other-Universities
    Other-Commercial and  industrial firms
(CMF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: NCC/UNIVAC 1100
(DST)  Form of data storages Magnetic disc
(DAC)  Type of data access; Commercial software System  2000
(CHG)  Direct charge for  non-EPA use: no
(UPDT)  Frequency of data base master file up-date: Annually
(QDB)  Other pertinent non-EPA data bases: Several  are  proposed by  this
    office — some of which should be operational by 1982.
(CUP)  Completion of form:
    M. J. Stutsman
    OFCt EPA/(ORD)/OE£f)/(IERL-CIN)
    AD: 26 if. St. Clair St., Cincinnati, OH   45268
    PH: (513) 684-4481
(DF)  Date of form completion: 01-24-83
(KMAT)  Number of substances represented in  data base:  600
(NCAS)  Number of CAS registry numbers in data base: 504
                             534

-------
                             Accession Wo.   6303000106
                     (cont)
(MAT)  Substances represented in data
    1,1,1/ 1f 2-pentachloroethane
    1,1,1,2-tetrachloroethane
       <63Q-20-6>
    l,l,l-trichloroethane<71-55-6>
    1,1,2,2,-tetrachloroethane
       <79-34-5>
    l/l,2-trichloro-l,2,2-trifluoroeth
       ane<76-13-l>
    1, l,!2-trichloroethane<79-00-5>
    l,l-dichloroethane<75-34-3>
    l,l-dichloropropane<78-99-9>
    \f l-dichloropropene<563-58-6>
    1,1-dimethylhydrazine<57-14-7>
    1,12-benzoperylene<191-24-2>
    1/2 dichloropropene  (cis)
    1,2,3,4-tetrachlorobenzene
       <634-66-2>
    1,2,3, 5-tetrachloroben2ene
       <634-90-2>
    \f 2,3-trichlorobenze«e<96-18-4>
    l/2/3-trichloropropane<96-18-4>
    l/2/4/-trichlorobenzene<120-82-l>
    1/2,4/5-te trachlorobenzene
       <95-94-3>
    1/2/5/6-dibenzanthracene
    l,2-dichloroethane<107-06-2>
    1/2-dichloropropene (trans)
    l,2-diphenylhydrazine<122-66-7>
    If 2-trans-dichloroethylene
       <156-60-5>
    l/3,S-trichlorobenzene<108~70-3>
    1,3-butylene glycol<107-88-0>
    1/3-dichloropropene (trans)
    l,3-dichloropropene<542-75-6>
    If5-cyclooctadiene
    l«pentene<109-67-1>
    11,12-benzofluoranthene<207-08-9>
    2, 2'-
    2/2-dlchloropropane<594-20-7>
    2,2-iminodiethanol
    2,3*-dichlorobenzidine
    2f 3,7/8-tetrachlorodlbenzo-p-
       dioxin<1746-01-6>
    2,3-dinitrotolxjene<602-01-7>
    2f3-o-phenylenepyrene<193-39-5>
    2,4,6-trichlorophenol<88-06-2>
    2,4-dichlorophenol<120-83-2>
    2,4-dimethylphenol<105-67-9>
    1, 4-dinitropherol<51-28-5>
    2/4-diTvitrotoluene<121-14-2>
    2,4-toluene diisocyanate<584-84-9>
base:
   2,5-dinitrotoluene<619-15-3>
   2,6-d initrotoluene< 606-20-2>
   2-chloroethylvinyl ether<110-75-8>
   2-chloronaPhthalene<91-58-7>
   2-chlorophenol<95-57-8>
   2-dimethyl arainoethanol<108-01-0>
   2-ethyl hexanol<104-76-7>
   2-nitrophenol<88-75-5>
   3,3 *-dichlorobenzidine<91-94-l>
   3,4-benzofluoranthene<205-99-2>
   3,4-dinitrotoluene<610-39-9>
   3/5-dinitrobenzoic acid<99-34-3>
   3/5-dinitrotoluene<618-85-9>
   4,4*-ddd(p,p'tde)
   4
   4,4"-ddt<50-29-3>
   4/6-dinltro-o-cresol<534-52-l>
   4-bromophenyl phenyl ether
      <101-55-3>
   4-chloro-3-fflethyl phenoKS9-50-7>
   4-chlorophenyl phenyl ether
      <7005-72-3>
   4-methyl-l-polymethyl pentene
   4-nitrophenol<100-02-7>
   a-aiethylstyrene
   a-naphthalene sulfonic acid
   a-naphthol<1321-67-l>
   abs<9003-56-9>
   aceaaphthene<83-32-9>
   acenaphthylene<208-96-8>
   acetal
   acetaldehyde<75-07-0>
   acetaldol<107-89-l>
   acetamide<60-35-5>
   acetanilide<103-84-4>
   acetic acid salts
   acetic acid<64-19-7>
   acetic enhydride<108-24-7>
   acetone cyanohydrin<75-86-5>
   acetonitrile<75-05-8>
   acetophenone<98-86-2>
   acetyl chloride<75-36-5>
   acetylene<74-86-2>
   acrolein<107-02-8>
   aerylamide<79-06-l>
   acrylate esters
   acrylic acid<79-10-7>
   acrylic fiber
   acrylic resins
   adipic acid<124-04-9>
   adiponitrile
                             535

-------
                         Accession No.  6303000106
                  (cont)
aldrin<309-00-2>
alkyds and unsaturated polyester
   resins
alkynaphthalenes (methyl)
allyl alcohol<107-18-6>
allyl chloride<107-05-l>
aminobenzoic acid (ra.p.)
amirioethyletbanolamine
amyl acetate<628-63-7>
amyl alcohols (8 isomers)
amyl chloride<543-59-9>
amyl mercaptans
amyl phenoK 13 22-06-1>
atnylamine<110-58-7>
aniline hydrochloride<142-04-l>
aniline<62-53-3>
anisidine<29191-52-4>
anisole<100-66-3>
anthracene<120-12-7>
anthranilic acid<118-92-3>
anthraquinone<84-65-l>
aspirin<50-78-2>
b-naphthalene sulfonic acid
b-naphthol
b-picoline
benzaldehyde<100-52-7>
benzamide<55-2l-0>
benzene<71-43-2>
benzenedisulfonic acid (m)
   <98-48-6>
benzenesulfonic acid<98-ll-3>
benzidine<92-87-5>
benzil<134-81-6>
benzilic acid<76-93-7>
benzo(a)anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
benzole acid<65-85-0>
benzoin
benzonitrile<100-47-0>
b€n7Ophenone<119-6l-9>
ben2otrichlorlde<98-07*7>
benzoyl chloride<98-88-4>
benzoyl peroxid«<94-36-0>
benzyl alcohol<100-51-6>
benzyl benzoate<120-51-4>
benzyl chloride<100-44-7>
benzyl dichloride<98-87-3>
benzylanin<100-46-9>
bhc (lindane)-garama<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
biphenyl<92-52-4>
b is { 2-chlor oethoxy ) me thane
bis(2-chloroisopropyl)ether
   <39638-32-9>
bis{2-ethylhexyl)phthalate
   
bisCchloromethyl)ether<542-88-l>
bisphenol a<80-05-7>
bronobenzene<108-86-l>
broiaoforro<75-25-2>
bromonaphthalene< 27497- 51-4>
butadiene<106-99-0>
butyl benzyl phthalate<85-68-7>
butyl ra ere ap tans
butyl phthalyl butyl glycolate
   <85-70-l>
butylenes
butyloctyl phthalate<84-78-6>
butyric acid<107-92-6>
clO-c!2 phthalate
c6-clO phthalate
calcium stearate<1592-23-0>
caprolactam<105-60-2>
carbon disulf ide<75-15-0>
carbon tetrabromide<558-13-4>
carbon tetrachloride<56-23-5>
carbon tetraf luoride<75-73-0>
castor oil<8001-79-4>
cellophane<9Q05-81-6>
cellulose (alpha grades &
   dissolving)
cellulose acetate butyrate
   <9004-36-8>
cellulose acetate propionate
   < 9 00 4-3 9-1 >
cellulose acetate<9004-35-7>
cellulose derivatives
cellulose nitrate<9004-70-0>
cellulose sponge
chlordant<57-74-9>
chl oroacet aide hyde<10 7-20-0 >
chloroacetic acid<79-ll-8>
chloroac«tophenone<1341-24-8>
chlorobenzaldehyde<35913-09-8>
chlorobenzene<108-90-7>
chl orobenzoic acid and esters
chlorobenzotrlchloclde (o/p)
chlorobenzoyl chloride<1321-03-5>
chlorodibroaomethane<124-48-l>
chlorodifluoroethane<25497-29-4>
chlorodifluoronethane<75-45-6>
                         536

-------
                         Accession No.   6303000106
                  (cont)
chloroform<67-66-3>
chlororaethane<74-87~3>
chloronaphthalene<25586-43-0>
chlorophenols
chloroprene<126-99-8>
chlorosulfonic acid<7790-94-5>
chlorotrifluoromethane<75-72-9>
choline chloride<67-48-l>
chrysene<218-01-9>
cis-l,2-dichloroethylene<156-59-2>
citronellol<106-22-9>
coal tar<8007-45-2>
coumaronoe-inderae resins<271-89-6>
cresol<1319-77-3>
cresylic acid<1319-77-3>
crotonaldehyde<4170-30-3>
crotonic acid<3724-65-0>
curaene hydroperoxide<80-15-9>
cunene<98-82-8>
cyanoacetic acid<372-09-8>
cyanogen chloride<506-77-4>
cyanuric acid<108-80-5>
cyanuric chloride<108-77-0>
cyclohexane<110-82-7>
cyclohexanol<108-93-0>
cyclohexanone<108-94-l>
cyclohexene<110-83-8>
cyclohexylamine<108-9l-8>
decanol<112-30-l>
di-isobutyl phthalate<84-69-5>
di-n-butyl phthalate<84-74-2>
di-n-hexyl phthalate
di-n-octyl phthalate<117-84-0>
di-tridecyl phthalate<121-69-7>
dIacetone alcohol<123-42-2>
diallyl phthalate resins<131-17-9>
diarcinobenzoic acid
dichloroaniline<27134-27-6>
dichlorobronomethane<75-27-4>
dichlorodifluoronethane<75-71-8>
dichloroethyl ether
dichlorohydrin<26545-73-3>
dichloromethyl ether
dichloropropene<26952-23-8>
dichlorotetrafluoroethane
   <1320-37-2>
dicyclohexylamine<101-83-7>
didecyl phthalate<84-77-5>
dieldrin<60-57-l>
diethyl phthalate<84-66-2>
diethyl sulfate<64-67-5>
diethylaraine<109-89-7>
diethylene glycol
   <112-36-7>
diethylene glycol
diethylene glycol
   acetate<124-17
diethylene glycol
   <112-34-5>
diethylene glycol
   acetate<112-15
diethylene glycol
                  diethyl ether

                  dimethyl ether
                  monobutyl ether
                  4>
                  monobutyl ether

                  monoethyl ether
                  2>
                  monoethyl ether
diethylene glycol monomethyl
   ether
diethylene glycol
dif luoroethane
dlisobutylene
dllsocotyl phthalate<27554-26-3>
diisodecyl phthalate<26761-40-0>
dilsopropyl amine<108-18-9>
diketene<674-82-8>
dimethyl ether<115-10-6>
dimethyl phthalate<131-ll-3>
diaethyl sulf ate<77-78-l>
dioiethyl sulf ide<75-18-3>
dinethyl sulfoxide<67-68-5>
dimethyl terephthalate<120-61-6>
diraethylamine<124-40-3>
dinitrobenzene<25154-54-5>
dinitrotoluene<2532l-14-6>
dioxane<123-91-l>
dioxolane<100-79-8>
dlphenyl methane<101-81-5>
diphenyl oxide<101-84-8>
diphenyl phthalate<84-62-8>
dlphenylaiBine< 122-3 9-4>
diphenylthiourea<102-08-9>
dipropylene glycol
dodecene<25378-22-7>
dodecyl mercaptan<112-55-0>
dodecylaniline<28675-17-4>
dodecylphenol<27193-86-8>
endosulfan sulf ate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endrin aldehyde<7421-93-4>
endrln ketone<53494-70-5>
endrin<72-20-8>
epichlorohydrin<106-89-8>
epoxidized esters
epoxy resins<61788-97-4>
ethanol-synthetic
ethanolaeines
                         537

-------
                         Accession No.  6303000106
                  (cont)
ethelene glycol mono ethyl ether
   acetate
etheylene glycol mono ethyl ether
   <110-80-5>
ethyl acetate<141-78-6>
ethyl acetoacetate<141-97-9>
ethyl acrylate<140-88-5>
ethyl broraide<74-96-4>
ethyl cellulose<9004-57-3>
ethyl chloride<75-00-3>
ethyl chloroacetate<105-39-5>
ethyl ether<60-29-7>
ethyl niercaptan<75-08-l>
ethyl orthoformate<122-51-0>
ethyl oxalate<95-92-l>
ethyl sodium oxalacetate
et hy laraine<7 5-0 4-7>
ethylbenzene<100-41-4>
ethylcyanoacetate< 105-56-6 >
ethylene carbonate<96-49-l>
ethylene chlorohydrin<107-07-3>
ethylene dibromide ( edb)<106-93-4>
ethylene glycol di acetate
ethylene glycol dimethyl ether
ethylene glycol monobutyl ether
   aCetate<112-07-2>
ethylene glycol monobutyl ether
ethylene glycol roonomethyl ether
   acetate<110-49-6>
ethylene glycol monomethyl ether
   <109-86-4>
ethylene glycol roonophenyl ether
ethylene glycol monopropyl ether
   <2807-30-9>
ethylene glycol<107-21-l>
ethylene oxide<75-21-8>
ethyl ene-vinyl acetate copolyraers
ethylene<74-85-l>
ethylnexanoic acid
fluoranthene<206-44-0>
£luorene<86-73-7>
fluorocarbon polymers
forraaldehyde<50-00-0>
formamide
formic acid<64-18-6>
fumaric acid<110-17-8>
furfural<98-01-l>
geraniol<106-24-l>
glutamic acid/ monosodium salt
   <142-47-2>
glycerol (natural * synthetic)
glycerol dichlorohydrin
   <26545-73-3>
glycerol tri(polyoxypropylene)
   ether<25791-96-2>
glycidol<556-52-5>
glycine<56-40-6>
glyoxal<107-22-2>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
heptene<25339-56-4>
hexachlorobenzene<118-74-l>
hex achlorobutadiene<87-68-3>
hexachlorocyclohexane<58-89-9>
hexachlorocyclopentadlene<77-47-4>
hexachloroethane<67-72-l>
hexadecyl aleohol<36653-82-4>
hexamethylene glycol<629-ll-8>
hexanethylene tetramine<100-97-0>
hexanethylenediamine<124-09-4>
high density polyethylene
hydrazine<302-01-2>
hydrogen cyanide<74-90-8>
hydroquinone<123-31-9>
hydroxyethyl cellulose<9004-62-0>
hydroxyethyl terephthaiate
hydroxypropyl cellulose<9004-64-2>
indeno {1,2,3-cd)pyrene<193-39-5>
ionone<8013-90-9>
isoaraylene<26760-64-5>
isobutanol<78-83-l>
isobutyl acetate<110-19-0>
isobutylene
isobutycaldehyde<115-ll-7>
isobutyrlc acid<79-31-2>
isoctyl alcohol<26952-21-6>
isodecanol<25339-17-7>
isopentane<78-78-4>
isophorone<78-59-l>
isophthalic acid<121-91-5>
isoprene<78-79-5>
isopropanol<67-63-0>
isopropyl acatate<108-21-4>
isopropyl chloride<75-29-6>
isopropyl ether<108-20-3>
Isopropyl phenol<25168-06-3>
isopropylaraine (aono)<75-31-0>
ketene<463-51-4>
linear alkybenzene
linear alkylate sulfonate
                         538

-------
                         Accession No.  6303000106
                  {cont)
low density polyethylene
m-chloroaniline<108-42-9>
ra-chlorotoluene<108-41-8>
ra-cresol
a-dichlorobenzene<541-73-l>
m-xylene
raaleic acid<110-16-7>
maleic anhydride<108-31-6>
malic acid<97-67-6>
melamine-formaldehyde resins
melaraine<108-78-l>
mesityl oxide<141-79-7>
metanilic acid<121-47-l>
methacrylic acid<79-41-4>
methallyl chloride<563-47-3>
raethanol<67-56-l>
methyl acetate<79-20-9>
methyl acetoacetate<105-45-3>
methyl bromide<74-83-9>
methyl butyl ketone<591-78-6>
methyl butynol<37365-71-2>
methyl chloride<74-87-3>
methyl ethyl ketone 
methyl formate<107-31-3>
methyl isobutyl carbinol<108-ll-2>
methyl Isobutyl ketone<108-10-l>
methyl mercaptan<74-93-l>
methyl methacrylate<80-62-6>
methyl saliCylate<119-36-8>
methylamine<74-89-5>
methylcyclohexane<108-87-2>
me thyIcycloh exanone<13 31-2 2-2>
methylene chloride<75-09-2>
methylene dianiline<101-77^9>
methylene diphenyl diisocyanate
methylionones
methylpentynol<77^-75-8>
mixed alcohol phthalates
morpholine
n/n-dimethylanlline<121-69-7>
n,n-dimethylformaraide<68-12-2>
n/n-diphenylhydrazlne<530-50-7>
n-butene<25167-67-3>
n-butyl acetate<123-86-4>
n-butyl alcohol<71-36-3>
n-butylacrylate<141-32-2>
n-butylamine<109-73-9>
n-butyraldehyde<123-72-8>
n-butyric acid
n-butyric anhydride<106-31-0>
n-butyronitrile<98-73-7>
n-heptyl-nonyl-undecyl phthalate
n-hexyl-2-ethylhexyl phthalate
n-hexyl-2-ethylhexyl-isodecyl
   phthalate
n-hexyl-octyl-decyl phthalate
n-methylaniline<100-61-8>
n-nitrosodimethylamine<62-75-9>
n-nitrosodiphenylaBlne<86-30-6>
n-nitrosodipropylamine<621-64-7>
n-pentane<109-66-0>
n-propyl alcohol<71-23-8>
n-propylamine<107-10-8>
naphthalene<91-20-3>
neopentanoic acid<75-98-9>
nitrobenoic acid (m,o,p)
nitrobenzene<98-95-3>
nitroethane<79-24-3>
nitromethane<75-52-S>
nitropropane<25322-01-4>
nitrotoluene
nomylphenol<25154-52-3>
nonene<27215~95-8>
nylon 11
nylon 12<24937-16-4>
nylon 612
nylon 66<32131-17-2>
nylon 69
nylon 6<25038-54-4>
o-chloroaniline <95-51-2>
o-chloronitrobenzene<88-73-3>
o-chlorotoluene<95-49^8>
o-cresol<95-48-7>
o-dichlorobenzene<95-50-l>
o-nitroaniline<88-74-4>
o-nitroanisole<91-23-6>
o-phenetidine<94-70-2>
o-xylene<95-47-6>
octyl decyl phthaiate<119-07-3>
octylphenol<27193-28-8>
oxo chemicals (misc.)
p-aainophenol<123-30-8>
p-chl or oaniline
p-chloronitrobenzene
p-chlorotoluene<106-43-4>
p-cresol<106-44-5>
p-dichlorobenzene<106-46-7>
p-hydroxybenzoic acid<99-96-7>
p-nitroanillne<100-01-6>
p-nitroanisole<100-17-4>
p-nitrophenol and sodium salt
P-phenetidine<156-43-4>
p-tert-butylbenzoic acid<98-73-7>
P-xylene<106-42-3>
                         539

-------
                         Accession No.   6303000106
                  Ccont)
paraldehyde<123-63-7>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorobenzeae<608-93-5>
pentachlorophenol<87-86-5>
pentaerythritoK115-77-5>
p epchl or om ethyl mercaptan
   <594-42-3>
perchloroethylene<127-18-4>
phenanthrene<85-01-8>
phenol<108-95-2>
phenolic resins
phenolsulfonic acids
phenoxy resins
phenylanthranilic acid<91-40-7>
phenylenediamine<25265-76-3>
phosgene<75-44-5>
phthallc acid esters (plasticizers
   )
phthallc anhydride<85-44-9>
phthalimide<85-41-6>
piperazine<110-85-0>
poly-alpha-methyl styrene
polyacetal resins
polyamides<63428-83-l>
polyaryl ether
polybenzimidazoles
polybenzothiazoles
polybutenes
polycarbonates
polychlorinated biphenyls (PCBs)
polyethyene terephthalate
   <25038-59-9>
polyethylene glycol<25322-68-3>
polyimides
polyphenylene sulf lde<9016-75-5>
polypropylene and copolyraers
   resin/fiber
polypropylene glycol<25322-69-4>
polystyrene and copolyraers
polysulfone resins
polyurethana resins
polyvinyl acetate and copolyners
polyvinyl alcohol<9002-89-5>
polyvinyl butyral<63148-65-2>
polyvinyl carbazole
polyvinyl chloride<9002-86-2>
polyvinyl ethers
polyvinyl pyrrolidone<9003-39-8>
polyvinylidene chlorides
propionaldehyde<123-38-6>
propionic acid<79-09-4>
proplyene oxide<75-56-9>
propyl acetate<109-60-4>
propyl chloride
propylene chlorohydrin
propylene dichloride<78-87-5>
propylene glyeol<57-55-6>
propylene<115-07-l>
pvc copolymers
pyrene<129-00-0>
pyridine<110-86-l>
quinones
rayon<61788-77-0>
resorcinol<108-46-3>
resorcylic acid<27138-57-4>
salicylic acid<69-72-7>
san<58-60-6>
sec-butyl alcohol<78-92-2>
sec-butylamine<13952-84-6>
silicones
sodium acetate<127-09-3>
sodium benzoate<532-32-l>
sodium carboxynethyl cellulose
   <9004-32-4>
sodium cnloroacetate<3926-62-3>
sodium formate<141-53-7>
sodium phenate<139-02-6>
sorbic acid<110-44-l>
styrene<100-42-5>
succinic acid<110-15-6>
succinonitrile<110-61-2>
sulfanilic acid<121-57-3>
sulfolane<126-33-0>
tannlc acid<1401-55-4>
terephthalic acid<100-2l-0>
tert-butyl alcohol<75-65-0>
tert-butyla«lne<75-64-9>    '
tert-butylphenol<27178-34-3>
tetrabromoethane<25167-20-8>
tetrachlorophthalic anhydride
   <117-08-8>
                         540

-------
                             Accession No.   6303000106     (cont)

    tetraethyl  lead<78-00-2>              trichloroethylene<79-01-6>
    tetraethylene diaialne                trichlorofluoromethane<75-69-4>
    tetrahydronaphthalene<119-64-2>      trlethylamine<121-44-8>
    tetrahydrophthalic anhydride         triethylene glycol dimethyl ether
       <85-43-8>                             <112-49-2>
    tetramethyethylenediamine            triethylene glycol<112-27-6>
       <110-18-9>                        triethylene tetraaaine
    tetramethyl lead<75-74-l>            triisobutylene<7756-94-7>
    tetramethylenediaraine<110-60-l>      tciaethylaraine<75-50-3>
    toluene diisocyanate<26471-62-S>     urea foraaldehyde resln<9011-05-6
    toluene-2,4-diaraine<95-80-7>         urea<57-13-6>
    toluene<108-88-3>                    vinyl acetate<108-05-4>
    toluenesulfonamide<1333-07-9>        vinyl chloride<75-01-4>
    toluenesulfonic acids                vinyl toluene<25013-15-4>
    toluenesulfonyl chloride<98-59-9>    vinylidene chloride<75-35-4>
    toluidines                            xylene<1330-20-7>
    toxaphene<8001-35-2>                 xylenol<1300-71-6>
(CAS)   CAS registry numbers of substances included in data base: 630-20-
    6;  71-55-6; 79-34-5; 76-13-1; 79-00-5;       75-34-3; 78-99-9;
    563-58-6;  57-14-7; 191-24-2; 634-66-2;  634-90-2;    96-18-4;
    96-18-4; 120-82-1; 95-94-3; 107-06-2; 122-66-7; 156-60-5;
    108-70-3;  107-88-0; 542-75-6; 111-78-4; 109-67-1; 207-08-9;
    84-68-4;       594-20-7;  1746-01-6; 602-01-7; 193-39-5; 88-06-2;
    120-83-2;  105-67-9;      51-28-5; 121-14-2; 584-84-9; 619-15-8;
    606-20-2;  110-75-8; 91-58-7;   95-57-8; 108-01-0; 104-76-7;
    88-75-5; 91-94-1; 205-99-2; 610-39-9;    99-34-3; 618-85-9;
    72-55-9; 50-29-3; 534-52-1; 101-55-3; 59-50-7;     7005-72-3;
    100-02-7;  1321-67-1; 9003-56-9; 83-32-9; 208-96-8;    75-07*0;
    107-89-1;  60-35-5; 103-84-4; 64-19-7; 108-24-7; 75-86-5;
    75-05-8; 98-86-2; 75-36-5; 74-86-2; 107-02-8; 79-06-1; 79-10-7;
    124-04-9;  111-69-3; 309-00-2; 107-18-6; 107-05-1; 111-41-1;
    628-63-7;       543-59-9;  1322-06-1; 110-58-7; 142-04-1; 62-53-3;
    29191-52-4;    100-66-3;  120-12-7; 118-92-3; 84-65-1; 50-78-2;
    100-52-7;  55-21-0;    71-43-2; 98-48-6; 98-11-3; 92-87-5; 134-81-6;
    76-93-7; 56-55-3;       50-32-8; 65-85-0; 100-47-0; 119-61-9;
    98-07-7; 98-88-4; 94-36-0;      100-51-6; 120-51-4; 100-44-7;
    98-87-3; 100-46-9; 58-89-9; 319-84-6;   319-85-7; 319-86-8;
    92-52-4; 111-91-1; 39638-32-9; 117-81-7;     542-88-1; 80-05-7;
    108-86-1;  75-25-2; 27497-51-4; 106-99-0; 85-68-7;       85-70-1;
    84-78-6; 107-92-6; 1592-23-0; 105-60-2; 75-15-0; 558-13-4;
    56-23-5; 75-73-0; 8001-79-4; 9005-81-6; 9004-36-8; 9004-39-1;
    9004-35-7;  9004-70-0; 57-74-9; 107-20-0; 79-11-8; 1341-24-8;
    35913-09-8; 108-90-7; 1321-03-5; 124-48-1; 25497-29-4; 75-45-6;
    67-66-3; 74-87-3; 25586-43-0; 126-99-8; 7790-94-5; 75-72-9;
    67-48-1;       218-01-9;  156-59-2; 106-22-9; 8007-45-2; 271-89-6?
    1319-77-3;     1319-77-3;  4170-30-3; 3724-65-0; 80-15-9; 98-82-8;
    372-09-8;      506-77-4; 108-80-5; 108-77-0; 110-82-7; 108-93-0;
    108-94-1;  110-83-9;      108-91-8; 112-30-1; 84-69-5; 84-74-2;
    117-84-0;  121-69-7; 123-42-2;   131-17-9; 27134-27-6; 75-27-4;
    75-71-8; 111-44-4; 26545-73-3;    26952-23-8; 1320-37-2; 101-83-7;
    84-77-5; 60-57-1; 84-66-2; 64-67-5;       109-89-7; 112-36-7;
    124-17-4;  112-34-5; 112-15-2; 111-90-0; 111-77-3;      111-46-6;


                             541

-------
                             Accession Ho,   6303000106     Ccont)

    27554-26-3;  26761-40-0; 108-18-95  674-82-8; 115-10-6?
    131-11-3;  77-78-1^  75-18-3?  67-68-5;  120-61-6; 124-40-3;
    25154-54-5;        25321-14-6; 123-91-1;  100-79-8; 101-81-5;
    101-84-8;  84-62-8;      122-39-4; 102-08-9; 25378-22-7; 112-55-0;
    28675-17-4;  27193-86-8;     1031-07-8;  959-98-8; 33213-65-9;
    7421-93-4; 53494-70-5;  72-20-8;      106-89-8; 61788-97-4;
    111-15-9;  110-80-5; 141-78-6; 141-97-9;     140-88-5; 74-96-4;
    9004-57-3; 75-00-3; 105-39-5; 60-29-7;  75-08-1;    122-51-0;
    95-92-1; 75-04-7;  100-41-4;  105-56-6; 96-49-1; 107-07-3;
    106-93-4;  111-55-7; 110-71-4; 112-07-2;  111-76-2; 110-49-6;
    109-86-4;       2807-30-9; 107-21-1; 75-21-8; 74-85-1; 149-57-5;
    206-44-0;  86-73-7;    50-00-0; 64-18-6;  110-17-8; 98-01-1; 106-24-1;
    142-47-2;  26545-73-3;       25791-96-2;  556-52-5; 56-40-6;
    107-22-2;  1024-57-3; 76-44-8;     25339-56-4; 118-74-1; 87-68-3;
    58-89-9; 77-47-4;  67-72-1;  36653-82-4;       629-11-8; 100-97-0;
    124-09-4;  302-01-2; 74-90-8; 123-31-9;  9004-62-0;      9004-64-2;
    193-39-5;  8013-90-9; 26760-64-5; 78-83-1; 110-19-0;   115-11-7;
    115-11-7;  79-31-2;  26952-21-6; 25339-17-7; 78-78-4;    78-59-1;
    121-91-5;  78-79-5;  67-63-0;  108-21-4; 75-29-6; 108-20-3;
    25168-06-3;  75-31-0; 463-51-4; 108-42-9; 108-41-8; 108-39-4;
    541-73-1;  108-38-3; 110-16-7; 108-31-6;  97-67-6; 108-78-1;
    141-79-7;        121-47-1; 79-41-4; 563-47-3; 67-56-1; 79-20-9;
    105-45-3;  74-83-9;      591-78-6; 37365-71-2; 74-87-3; 78-93-3;
    107-31-3;  108-11-2; 108-10-1;      74-93-1; 80-62-6; 119-36-8;
    74-89-5; 108-87-2;  1331-22-2; 75-09-2;     101-77-9; 77-75-8;
    121-69-7;  68-12-2;  530-50-7; 25167-67-3; 123-86-4;      71-36-3;
    141-32-2;  109-73-9; 123-72-8; 106-31-0;  98-73-7; 100-61-8;
    62-75-9; 86-30-6;  621-64-7;  109-66-0; 71-23-8; 107-10-8; 91-20-3;
    75-98-9; 98-95-3;  79-24-3;  75-52-5; 25322-01-4; 25154-52-3;
    27215-95-8;  24937-16-4; 32131-17-2; 25038-54-4; 95-51-2; 88-73-3;
    95-49-8; 95-48-7;  95-50-1;  88-74-4; 91-23-6; 94-70-2; 95-47-6;
    119-07-3;  27193-28-8; 123-30-8; 106-47-8; 106-43-4; 106-44-5;
    106-46-7;  99-96-7;  100-01-6; 100-17-4;  156-43-4; 98-73-7; 106-42-3;
    123-63-7;  12674-11-2; 11104-28-2; 11141-16-5; 53469-21-9;
    12672-29-6;       11097-69-1; 11096-82-5; 608-93-5; 87-86-5;
    115-77-5;  594-42-3;   127-18-4; 85-01-8; 108-95-2; 91-40-7;
    25265-76-3;  75-44-5; 85-44-9;   85-41-6; 110-85-0; 63428-83-1;
    25038-59-9;  25322-68-3; 9016-75-5;     25322-69-4; 9002-89-5;
    63148-65-2;  9002-86-2;  9003-39-8; 123-38-6;    79-09-4; 75-56-9;
    109-60-4;  540-54-5; 78-87-5; 57-55-6; 115-07-1*     129-00-0;
    110-86-1;  61788-77-0; 108-46-3; 27138-57-4; 69-72-7;   58-60-6;
    78-92-2; 13952-84-6; 127-09-3; 532-32-1; 9004-32-4;     3926-62-3;
    141-53-7;  139-02-6; 110-44-1; 100-42-5;  110-15-6;     110-61-2;
  .  121-57-3;  126-33-0; 1401-55-4; 100-21-0; 75-65-0; 75-64-9;
    27178-34-3;  25167-20-8; 117-08-8; 78-00-2; 119-64-2; 85-43-8;
    110-18-9;  75-74-1;  110-60-1; 26471-62-5; 95-80-7; 108-88-3;
    1333-07-9; 98-59-9; 8001-35-2; 79-01-6;  75-69-4; 121-44-8;
    112-49-2;        112-27-6; 7756-94-7;  75-50-3; 9011-05-6; 57-13-6;
    108-05-4;  75-01-4;        25013-15-4;  75-35-4; 1330-20-7; 1300-71-6
(CNN)  Contact narae(s): Stxjtsraan/M«J.  ;    Stutsnan^M.J« ;
    Stutsman/M.J.
(RQR)  Responsible Organization: Office of Research and


                             542

-------
                         Accession No.   6303000106     (cont)
Development.Office of Environmental Engineering and Technology
                         543

-------
                             Accession No.   6303000107

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Multimedia Assessment of the
    Inorganic Chemicals Industry
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model:  Effluents manufacturing
    processes and waste treatment ^Emissions  manufacturing  Solid
    waste from manufacturing processes and  waste treatments
(ABS)  Abstract/Overview of  Data Base or Model:  Information on high
    volume, industrial inorganic  chemicals which are compounds of
    aluminum,? boron, chromium/ fluorine/ iron/ manganese/ nickel/
    phosphorus/    seawater  and brine/ silicon/  methane/ salt
    (chlor-alkali), sodium/     sesquicarbonate,     sulfur/ titanium/
    zinc, barium/ calcium/ copper/  lead/ strontium/ potassium/ lithium/
    magnesium/ arsenic/     antimony/  cadmium/ cobalt/  mercury/
    vanadium/ and the  industrial gas industry (helium/ oxygen/
    nitrogen, rare     gases/ and acetylene).  Process description/
    energy requirements/     raw waste description/ pollution
    technology/ and levels of residual   pollutants after controls are
    also included.  Occupational and health effects and research and
    development needs in pollution     control are presented for each
    group of chemicals.
(CTC)  CONTACTS:  Subject matter   Mary Stinson  (201) 340-6683    ;
    Computer-related  Mary S
(DTP)  Type of data collection or monitoring: Point source data
    collection from inorganic chemical manufacturing     processes
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances  represented in  Data Base: 5 NESHAPS ;7
    criteria N&AQS ?3 HID CAA }129 307 CWA >11 conventional water ?
    41 CHA potential criteria ?299 hazardous substances ;15 metals
(NPP)  Non-pollutant parameters included in the data base: Capacity
    levels ;Chemical data }Compliance data  Concentration measures ;
    Cost/economic data ^Discharge points ;Disposal  practices ^Exposure
    data | Flos* rates ^Geographic subdivision >Health effects ^Industry
    description ; Location;Manufacturer >Research a^d development
    needs ^Treatment devices ;     Use of products ;Volume/mass
    measures jsProcess description ;Residual pollutants after treatment
    ;   Pollution control technology
(DS)  Time period covered by data base: 01-01-75 TO 08-30-80
(TRM)  Termination of data collection: Occurred 08/30/80
(FRQ)  Frequency of data collection or sampling: Other 5 year period
    for data collection and  update
(NOB)  Number of observations in data base: N/A.(Actual)
(NEI)  Estimated annual increase of observations in data base: (N/A.)
(INF)  Data base includes: Summary aggregate observations ^Reference
    data/citations
(NTS)  Total number of stations or sources  covered in data base: (N/A.)
(NCS)  No. stations or sources currently originating/contributing data:
    (N/A.)
(NOF)  Number of facilities  covered in data base (source monitoring): (N
    /&*){£very facility manufacturing inorganic chemicals on an
    industrial scale)
CSEO)  geographic coverage of data base: National


                             544

-------
                             Accession No.   6303000107     (cont)

(LOG)  Data elements Identifying location of station or source Includes
    State /City ;Town/township
(FAC)  Data elements Identifying facility include:  Plant location
    ;Parent corp name
(CDE)  Pollutant identification data are: Oncoded
(LIM)  Limitation/variation In data of which user should be aware:  Limit
    ation of data base is that representative    manufacturers Here
    contacted and engineering estimates were made for others.
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision and accuracy estimates are not available
(EOT)  Editting: No knoun edit procedures exist.
(CBY)  Data collected by: Contractor Yersar, Inc. Springfield, VA
    REVIEWED BY: EPA lab Industrial Environ REVIEWED BY: Contractor
    Versar, Inc. Springfield, VA and by Industrial     experts
(AUT)  Authorization for data collection: No statutory requirement:
    Data collection requirement is    to develop long term research and
    development program for inorganic   chemical industry
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Unpublished
    reports Multimedia Assessment of Inorganic Chemicals Industry*
    Printouts on request possible in a year
(NUS)  Number of regular users of data base: 5
(USR)  Current regular, users of data base: EPA headquarter offices
    Effluent Guidelines Division
    EPA regional offices
    Other Federal agencies Occupational Safety and Health Administration
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: Commercial software SYSTEM 2000 ;EPA
    hardware Univac 1100
(CHG)  Direct charge for non-EPA use: Not Known at this time
(OPDT)  Frequency of data base master file up-date: Other Annual update
    may be done
(CMP)  Completion of form:
    Mary S tins on
    OFC: Organic and Inorganic Chemicals Branch/IERL-Cin
    AD: Edison, NJ 08817
    PH: (201) 321-6683
(DF)  Date of form completion: 01-24-83
(NMAT)  Number of substances represented in data base: 79
(NCAS)  Number of CAS registry numbers in data base: 79
(MAT)  Substances represented in data base:
    acid mist                            ammonium carbonate<506-87-6>
    acidity                              ammonium chlorlde<12125-02-9>
    alkalinity                           antimony<7440-36-0>
    aluminum sulfate<10043-01-3>         arsenic trioxide<1327-53-3>
    aluminum<7429-90-5>                  arsenic<7440-38-2>
    amraonia<7664-41-7>                   barium< 7440-3 9-3>
    ammonium bicarbonate<1066-33-7>      boron compounds<7440-42-8>


                             545

-------
                             Accession No.   6303000107
                  (cont)
    cadmiunK7440-43-9>
    calcium hydroxide<1305-62-0>
    carbon disulf lde<75-15-0>
    carbon monoxide<630-08-0>
    chlorlne<7782-50-S>
    chromic acid<7738-94-5>
    chromlura<7440-47-3>
    cobalt<7440-48-4>
    copper<7440-50-8>
    cyanide<57-12-5>
    dissolved oxygen
    dissolved solids
    ferric sulfate<10028-22-5>
    ferrous chloride<7758-94-3>
    fluorene<86-73-7>
    fluorides
    hydrochloric acid<7647-01-0>
    hydrofluoric acid<7664-39-3>
    hydrogen cyanide<74-90-8>
    hydrogen sulfide<7783-06-4>
    iron and compounds<7439-89-6>
    iron<7439-89-6>
    lead<7439-92-l>
    lithium and compounds<7439-93-2>
    manganese<7439-96-5>
    mercury<7439-97-6>
    molybdenum and compounds
       <7439-98-7>
    nickel chloride<7718-54-9>
    nickel nitrate<13138-45-9>
    nickel sulfate<7786-81-4>
    nlckel<7440-02-0>
    nitrates/nitrites
nitrogen dioxide<10102-44-0>
nitrogen<7727-37-9>
oxygen demand
PH
phosgene<75-44-5>
phosphoric acid<7664-38-2>
phosphorus and compounds
   <7723-14-0>
phosphorus oxychloride<10025-87-3
phosphorus trichloride<7719-12-2>
phosphorus<7723-14-0>
potassium hydroxide<1310-58-3>
sodium and coropounds<7440-23-5>
sodium bichroraate< 10588-01-9>
sodium cyanide<143-33-9>
sodium hydrosulfide<16721-80-5>
sodium hypochlorite<7681-52-9>
sodium<7440-23-5>
sulfates
sulfides
sulfur dioxide<7446-09-5>
sulfurlc acid<7664-93-9>
suspended solids
t i tanium<7 440-32-6>
total reduced sulphur
total suspended particulates
vanadium pentoxide<1314-62-l>
vanadium<7440-62-2>
zinc acetate<557-34-6>
zinc ammonium chloride
zinc chloride<7646-85-7>
zinc nitrate<7779-88-6>
zinc<7440-66-6>
    nitric acid<7697-37-2>
(CAS)  CAS registry numbers of substances included in data base:  10043-0
    l-3> 7429-90-5; 7664-41-7; 1066-33-7;       506-87-6; 12125-02-9;
    7440-36-0;  1327-53-3;  7440-38-2;  7440-39-3;     7440-42-8;
    7440-43-9;  1305-62-0;  75-15-0; 630-08-0;  7782-50-5;   7738-94-5;
    7440-47-3;  7440-48-4;  7440-50-8;  57-12-5; 10028-22-5;
    7758-94-3;  86-73-7; 7647-01-0; 7664-39-3; 74-90-8; 7783-06-4;
    7439-89-6;  7439-89-6;  7439-92-1;  7439-93-2; 7439-96-5; 7439-97-6;
    7439-98r7;  7718-54-9;  13138-45-9; 7786-81-4; 7440-02-0; 7697-37-2;
    10102-44-0; 7727-37-9; 75-44-5; 7664-38-2; 7723-14-0; 10025-87-3;
    7719-12-2;  7723-14-0;  1310-58-3;  7440-23-5; 10588-01-9; 143-33-9;
    16721-80-5; 7681-52-9; 7440-23-5; 7446-09-5; 7664-93-9; 7440-32-6;
    1314-62-1;  7440-62-2;  557-34-6; 7646-85-7; 7779-88-6; 7440-66-6
(CNM)  Contact  name(s): 5tinson/M»;    Stlnson/M,
(COR)  Contact  organization:  Industrial Environmental Research
    Lab-Cinein
(ROR)  Responsible Organization:  Office of Research and
    Development.Office of  Environmental Engineering and Technology
                             546

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                             Accession No.   6303000109

(DQ)  Date of Questionaire:  12-02-82
(MAN)  Name of Data Base of  Model:  Hazardous Haste Control  Technology
    Data Base
(ACR)  Acronym of Data Base  or  Model:  HWCTDB
(MED)  Media/Subject of Data Base or Model:. Other Hazardous Haste
    incineration and treatnent
(ABS)  Abstract/overview of  Data Base  or Model:  Two major groups of
    data will be included in this data base:  (1) hazardous waste
    incineration facility data  which will contain operational  nature
    such as location of facilities, operational status and equipment
    design and, <2) research data  which will contain  research results
    in waste characterization,    thermal decomposition/ and treatment*
    waste trial burn and per*-  nit application.
(CTC)  CONTACTS: Subject matter  C.C.  Lee (513)  684-4417;
    Computer-related  C.C. Lee  (513) 6
(DTP)  Type of data collection  or monitoring* Combination/Other data
    collection
(STA)  Data Base status: Funded for development
(DPQ)  Projected operational date of Data Base:  06-01-80
(GRP)  Groups of substances  represented in Data  Base:  RCRA  hazardous
    wastes
(NPP)  Non-pollutant parameters included in the  data base:  Chemical
    data ;Compliance data ;Disposal ^Manufacturer;Sampling data ;
    Site description /Temperature /Treatment devices
(DS)  Time period covered by data base: 06-01-80 TO 12-31-81
(TRH)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: annually
(NOB)  Number of observations in data  base: 3000(Estimated)
(NEI)  Estimated annual increase of observations in data base: 1000
(INF)  Data base includes: Raw  data/observations
(NTS)  Total number of stations or sources covered in  data  base: 250
(NCS)  No. stations or sources  currently originating/contributing  data:
    100
(NOF)  Number of facilities  covered in data base (source monitoring):  25
    0
(GEO)  Geographic coverage of data base: National
(LQC)  Data elements identifying location of station or source include:
    State ;City ;Project identifier
(FAC)  Data elements identifying facility include: Plant/facility  name
    ;Plant location ;Parent  corp name  ;Parent corp location ;    Street
    address
(CDE)  Pollutant identification data are: Oncoded
(LlM)  Limitation/variation  in  data of which user should be aware: None
(AND  Lab analysis based on EPA-approved or accepted  methods? NO
(AOD)  Lab Audit: Lab audit  is  not based on lab  analysis.
(PRE)  Precision: Precision  and accuracy estimates exist but are not
    included In data base.
(EDT)  Emitting: Edit procedures used  and documented.
(CBY)  Data collected by: Self  reporting over 500 incineration plants
    ;Local agency-numerous ;   State agency-numerous ;Regional
    office-all regions, Regions I through X ; EPA lab-IERL, Cincinnati
    Contractor lab-Mitre Corp., McLean, Virginia ;   Contractor-Mitre


                             547

-------
                             Accession No.  6303000109
                  (cent)
    Corp., McLean, Virginia
(ABY)  Data analyzed by: Contractor-Mitre Corp., McLean Virginia
(IDL)  Laboratory Identification: NO
(PR1)  Primary purpose of data collection:  Development of regulations
    or standards
(PR2)  Secondary purpose of data collection:  Technology development
(AUT)  Authorization for data collection: No statutory requirement:
    Data is collected,  from separate EPA research projects.
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Publications-
    undecided
    Unpublished reports-undecided
    Data still in process of being analyzed.
(NUS)  Number of regular users of data base:  150
(USR)  Current regular users of data base:  EPA headquarter offices QSW
(CNF)  Confidentiality of data and Units on access: No Units on
    access to data
(DLC)  Primary physical location of data: Contractor
(DST)  Form of data storage: Magnetic tape
CDAC)  type of data access: N7A
(CHG)  Direct charge for non-EPA uses No
(UPDT)  Frequency of data base master file up-date: Annually
(RSS)  Related EPA automated systems which use data base: IBM system
    2000 language
(CMP)  Completion of form:
    C.C. Lee
    OFC: IERL/ORD
    AD; 26 V. St. Clair Street, Cincinnati, Ohio  45268
    PH: (513) 684-4417
(DF)  Date of form completion: 01-24-83
(NMAT)  Number of substances represented in data base: 358
(NCAS)  Number of CAS registry numbers in data base: 344
(MAT)  Substances represented in data base:
                                         l,l-dimethylhydrazlne<57-14-7>
    *azirino(2 *3 *: 3, 4)-pyr rolod, 2-a)
       lndole-4,7^dione(ester)
       
    0,0-diethyl phosphoric acid,0-p-
       nltrophenyl ester<311-45-5>
    0,0-diethyl-0-(2-pyrazinyl)
       phosphorothioate<297->97-2>
    0,0-dlethyl-s^(2-ethylthio)ethyl)
       ester of phosphorodithioic acid
    0,0-diethyl-s-methyl ester of
       phosphorodithioic acid
    1,1,1, 2-tetrachloroethane
       <630-20-6>
    l,l,l-trichloroethane<71-55-6>
    l/l,2/2-tetrachloroethane<79-34-5>
    1,l-dlchloroethane<75-34-3>
    l/l-dichloroethylene<75-35-4>
1,2,3,4,10,10-hexachloro-l,4,4a,5,
   8, 8a-hexahydro-l, 4: 5, 8-endo,
   endo-d
   Imethan
1,2, 4, 5-t etrachlorobenzene
   <95-94-3>
l,2-dibromo-3-chloropropane (dbcp)
   <96-12-8>
l,2-dlbromoethane<106-93-4>
1,2-dlchlorobenzene<95-50-1>
1,2-dichloroethane<107-06-2>
l,2-dichloropropane<78-87-5>
l/2-diethylhydrazine<1615-80-l>
l,2-dimethylhydrazine<540-73-8>
1,2-diphenyIhydrazine
l,2-propanedlol<57-55-6>
                             548

-------
                         Accession No.  6303000109
                  Ccont)
1,2-trans-dichloroethylene
   <156-60-5>
If3-dichloropropene<542-7§-6>
\,3-pentadiene<504-60-9>
1,3-propane sultone<1120-71-4>
If4-dichloro-2-butene<110-57-6>
l,4-dichlorobenzene<106-46-7>
l,4-dioxane<123-91-l>
If4-naphthoquinone<130-15-4>
l-(o-chlorophenyl)thiourea
   <5344-82-l>
l-(p-chlorobenzoyl)-5-methoxy-2-
   nethylindole-3-acetlc acid
   <53-86-l>
l-chloro-2/3-epoxypropane
   <106-89-8>
l-naphthyl-2-thiourea<86-88-4>
1-naph thyl aiaine< i3 4-32-7>
!•3-dichlorobenzene<541-73-l>
2/3^4,6-tetrachlorophenol<58-90-2>
2y4y5-trichlorophenol<95-95-4>
2,4^5-trichlorophenoxyacetic acid
   CT)<93-76-5>
2,4,5-trichlorophenoxypropionlc
   acid (TPX93-72-l>
2,4,6-trichlorophenol<88-06-2>
2f4-dlchlorophenol
2/4-dichlorophenoxyacetic acid (2^
   4-d)<94-75-7>
2f4-dimethylphenol<105-67*9>
2,4-dinitrophenol<51-28-5>
2,4-dinitrotoluene<121-14-2>
2,4-dithiobiuret<541-53-7>
2/6-dichiorophenol<87^65-0>
2,6-dinitrotoluene<606-20-2>
2-acetylaminoflourene<53-96-3>
2-butanone peroxide<1338-23-4>
2-chloronaphthalene< 91-58-7>
2^chlorophenol<95-57-8>
2-cyclohexyl-4,6-dinitrophenol
   <13l-89-5>
2-fluoroacetamide (1081)<640-19-7>
2-nethy1-2-(methylthio)propionalde
   hydeo-(methylcarbamoyl)oxirae
   <116-06-3>
2-raethylaziridine
   <75-55-8 2-naphthylamlne
   <91-59-8>
2-nitropropane<79-46-9>
2-picoline<109-06-8>
2-propyn-l-ol<107-19-7>
2-sec butyl-4,6-dinitrophenol
   <88-85-7>
3,3*-dichlorobenzidine<91-94-l>
3/3'-diinethoxybenzidiiie<119-90-4>
3,3 --diinethyl-Ufflethylthio)-2-
   bu tanone-0- ( (methy lareino )
   carbonyDoxime
3,3'-diinethylbenzidine<119-93-7>
3,4-dihydroxy-alpha-«iBethylamino)
   methyl) benzyl alcohol<51-43-4>
3-chloropropionitrile<542-76-7>
3-methylcholanthrene<56-49«5>
39196-18-4>
4,4*-fflethylene-bis-(2-chloroanilin
4/6-dlnitro-o«cresol<534-52-l>
4-Aminopyr idine<50 4-24-5>
4-bromophenyl phenyl ether
   <101-55-3>
4-chloro-o-toluidine hydrochloride
   <3165-93-3>
4-nitrophenol<100-02-7>
5-CafflinoBethyl)-3-isoxazolol
   <2763-96-4>
S-nitro-o-toluidine<99-55-8>
6-afflino-l, la, 2,8, 8a* 8b-hexahydr o*
   8-hydtoxyaethyl-8-oethoxy-5-
   nethylc
   arbaoat
7^12-diae thylbenz (a >ant hracene
7-oxabicycol(2.2»l)heptane-2^3-
   dicarboxylic acid<145-73-3>
Octamethylpyrophosphocamlde (OMPA)
   <152-16-9>
acetaldehyde<75»07-0>
acetone<67---64-l>
ace ton! tr i le<7S~05-8>
acetophenone<98-86-2>
acetyl chloride<75«36-5>
acrolein
acrylic acid<79-10-7>
acrylonitrile<107»13-l>
aldrin<309-00-2>
allyl alcohol<107-18-6>
alpha/ alpha-dime thylbeniylhydroper
   oxide<80-15~9>
alpha,alpha-din!ethylphenethyla«ine
   <122-09-8>
alpha-chl©r®tolu«ne<100-44-7>
aluminum phosphlde<20859-73-8>
                         549

-------
                         Accession No.  6303000109
                  Ccont)
amltrole<61-82-5>
ammonium picrate<131-74-8>
aniline<62-53-3>
arsenic acid<1327-52-2>
arsenic pcntoxlde<1303-28-2>
arsenic trioxide<1327-53-3>
asbestos<1332-21-4>
auramine<2465~27-2>
azaserine< 11 5-02-6 >
barium cyanide<542-62-l>
benz(c)acridine<225-51-4>
benzal chloride<98-87-3>
benzene<71-43-2>
benzenesulfonyl chloride<98-09-9>
benzenethiol<108-98-5>
benzidine<92-87-S>
benzo( a) anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
benzotrichloride<98-07-7>
beryllium dust
bis(2-chloroethoxy)methane
bls(2-chloroethyl)ether
bis<2-chloroisopropyl) ether
   <39638-32-9>
bis(2-ethylhexyl)Phthalate
bis(chioromethyl)ether<542-88-l>
bromoac€tone<598-31-2>
bronsomethane<74-83-9>
bruclne<357-57-3>
calcium chroma te<13765-19-0>
calcium cyanlde<592-01-8>
carbon disulf ide<75-15-0>
carbonyl fluoride<353-50-4>
chloral<75-87-6>
chlorarabucil<305-03-3>
chlordane<57-74-9>
chloroacetaldehyde<107-20-0>
chlorobenzene<108-90-7>
chlorobenzilate<510-15-6>
chlorodibromo»ethane<124-48-l>
chloroethene<75-01-4>
chloroethyl vinyl ether<110-75-8>
chloroform<67-p66-3>
chlororaethane<74-87-3>
chloromethyl methyl ether
   <107-30-2>
chrysene<218-01-9>
copper cyanide<544-92-3>
cresylic acl d<1319-77-3>
crotonaldehyde<4170-30-3>
cuaene<98-82-8>
cyanide<57-12-5>
cyanogen bromide<506-68-3>
cyanogen chlorlde<506-77-4>
cyanogen<460-19-5>
cyclohexane<110-82-7>
cyclohexanone<108-94-l>
cyclophosphanide<50-18-0>
daunoaycin<20830-81-3>
ddd(tde)<72-54-8>
ddt<50-29-3>
di-lsopropylfluorophosphate
   <55-91-4>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
di-n-propylnitrosamine<621-64-7>
diallate<2303-16-4>
dibenzo(a,h)anthracene<53-70-3>
dibenzol(a,i)pyrene<169-55-9>
dibromochloroaethane<124-48-l>
dlbromomethane<74-95-3>
dichlorodifluoromethane<75-71-6>
dlchloroBethane<75-09-2>
dlchlorophenylarslne<696-28-6>
dleldrin<60-57-l>
dlepoxybutane<1464-53-5>
die thy 1 phthalate<84-66-2>
diethylarsine
die thylstilbestrol<56-53-l>
dihydrosafrole<94-58-6>
difflethoate<60-51-5>
dimethyl phthalate<131-ll-3>
dimethyl sulfate<77-78-l>
diBethylaaine<124-40-3>
diaethylcarbamoyl chloride
   <79-44-7>
dimethylnitrosamine<62-75-9>
dipropylamine<142-84-7>
e
endosulfan<115-29-7>
endrin<72-20-8>
ethyl acetate<141-78-6>
ethyl aerylate<140-88-5>
ethyl ether<60-29-7>
ethyl methacrylate<97-63-2>
ethyl methanesulfonate<62-50-0>
ethylcyanide<107-12-0>
ethylene blsdithiocarbanate
ethylene oxlde<75-21-8>
ethylene thiourea<96-45-7>
ethylenediamine<107-15-3>
ethyleneimine<151-56-4>
                         550

-------
                         Accession No.   6303000109
                  Ccont)
ferric cyanide
fluoranthene<206-44-0>
fluorine<7?a2-41-4>
fluoroacetic acid, sodius salt
   <62-74~8>
fluorotrichloroH!ethane<7S~69«4>
formaldehyde<50-00~Q>
forraic acid<64-18~6>
furan<110-00~9>
£urfural<98-01-l>
glycidylaldehyde<765-34-4>
heptachlor<76-44»8>
hexachlorobenzene<118-74-1>
hexachlorobutadiene<87-68-3>
hexachlorocyclohexane
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
hexachlorophene<70-30-4>
hexachloropropene<1888-7l-7>
hexaethyl tetraphosphate<757-58-4>
hydraz!ne<302-01-2>
hydrocyanic acid<74-90-8>
hydrofluoric actd<7664-39-3>
hydrogen sulfide<7783-06-4>
hydroxydimethyl arsine oxide
   <75-60-5>
indeno (1^2^3-cd)pyrene<193-39-5>
iodoraethane<74-88-4>
iron dextran<9004-66-4>
isobutyl alcohol<78-83-l>
isocyanic acid^ methyl ester
   <624-83-9>
isosafrole<120-58-l>
kepone<143-50-0>
1asiocarpine<303-34-4>
lead acetate<301-Q4-2>
lead phosphate<7446-27-7>
lead subacetate<1335-32-6>
maleic anhydride<108-31-6>
raalelc hydrazide<123-33-l>
salononitrile<109-77-3>
melphalan<148-82-3>
mercury fulminate<628-86-4>
aercury<7439-97-6>
methanethiol<74-93-l>
methanol<67«56-l>
methapyrilene<91-80-5>
methorny1<16752-77-5>
methyacrylonitrile<126-98-7>
methyl chlorocarbonate<79-22-l>
methyl ethyl ketone (nek)<78-93-3>
methyl ethyl ketone peroxide
   <1338-23-4>
sethyl hydrazlne<60-34-4>
methyl isobutyl ketorae<108-10-1>
raethyl Bethacrylate<80-62-6>
nethyl parathion<298-00-0>
raethylthloiiracil<56-04-2>
nrn-bis(2-ehloroethyl)-2-naphthyla
   Bine<494-03-l>
n-butyl alcohol<71-36-3>
n-nethyl-n'-nitro-n-nitrosoguanidi
   ns<70-25-7>
n-nitroso-n-ethylurea<7S9-73-9>
n-nitroso->n-fflethylurea<684-93-5>
o-ni troso-n-ne thylur e thane
   <615-53-2>
n-nitrosodi-n-butylaaine<924-16-3>
n-nitrosodi-n-propylamine
   <621-64-7>
n-nitrosodiethanolaraine<1116-54-7>
n-nitrosodlethylaraine<55-18-5>
n-nitrosodiraethyiamine<62-75-9>
n-nitrosodiphenylamine<66-30-6>
n-nltrosomethylvinylamine
   <4549-40-0>
n-nitrosopiperidine<100-75-4>
n-nitrosopyrrolidine<930-55-2>
n-phenylthiourea<103-85-5>
n-propylaffline<107-10-8>
naphthalene<91-20-3>
nickel carbonyl
nickel cyanide<5S7-19-7>
nicotine and salts<54-ll-5>
nitric 
nitrobenzene<98-95-3>
nitrogen dioxide<10102-44-0>
nitrogen peroxide<10102-44-0>
nitrogen tetroxide
nitroglycerine<55-63-0>
o-toluidine hydrochloride
   <636-21-5>
oil and grease
oleyl alcohol condensed with 2
   moles ethylene ox!de<9004-98-2>
onaphthalene<465-73-6>
osmium tetroxide<20816-12-0>
p-chloro-m-cresol<59^50-7>
p-chloroanlline<106-47-8>
p-dimethylaainoazobenzene<60-ll-7>
p-nitroaniline<100-01-6>
paraldehyde<123-63-7>
parathion<56-38-2>
                         551

-------
                             Accession No*   6303000109
                  Ccont)
    pentachlorobenzene<608-93-5>
    pentachloroethane<76-01~7>
    pentachloronitrobenzene (PCNfi)
       <82-68~8>
    pentachlorophenol<87-86-5>
    phenacetin<62-44-2>
    phenol<108-95-2>
    phenyl dichloroarsine<696-28-6>
    phenylmercury acetate<62-38-4>
    phorate<298-02-2>
    phosgene<75-44-5>
    phosphine<7803-51-2>
    phosphorothioic acid;OrO-dl®ethyl
       ester,o-ester tilth n,n~dinethyl
       benzene s
    phosphorus sulfide<1314-80-3>
    phthalic anhydride<85-44-9>
    potassium eyanide<151-50-8>
    potassium silver cyanide<506-61-6>
    pronamide<23 950-58-5>
    propionitrile<107-12-0>
    pyrldlne<110-86-l>
    qulnones
    reserpine<50-55-5>
    resorclnol<108*46-3>
    saccharin<81-07-2>
    safrole<94-59-7>
    selenious acid<7783-00-8>
    selenium sulfide<7446-34-6>
    selenourea<630-10-4>
    silver cyanide<506-64~9>
    sodium azlde<26628-22-8>
    sodium cyanide<143-33-9>
    streptozotocln
    strontium sulfide<1314-96-1>
    strychnine<57-24-9>
    tetrachloroeth«ne<127-18-4>
tetraethyl dithiopyrophosphate
   <3689-24-5>
tetraethyl lead<78-00-2>
t@traef.hyl pyrophosphate<107-49-3
tet rahy dofuran<10 9-99-9>
tetranitroioethane<509-14-8>
thailie oxide<1314-32-5>
thallium acetata<563-68-3>
thalliun carbonate<29809-42-5>
thallium chloride<7791-12-0>
thalllura nltrate<10102-45-l>
thallium selenite<12039-52-0>
thallium sulfate<7446-18-6>
thloaceta*lde<62-55-5>
thlosemlcarbazide<79-19-6>
thlourea<62-5€-6>
thluraB<137-26-8>
toluene dlisocyanate<26471-62-5>
toluene<108-88-3>
toluenediaralne<25376-45-8>
toxaphene<8001-35-2>
trlbromoBethane<75-25-2>
trlchloroethene<79-01-6>
trlchlorofluoromethane<75-69-4>
trichlorofflethanethlol<7S-70-7>
trlnitrobenzene<99-35-4>
t rls(Is 3-dIbroMopropy1)phosphate
   <126-72-7>
trypan blue<72-57-l>
ulfona«ide
uracll fflustard<66-75»l>
urethane<51-79«6>
vanadlc acid, amnoniuB salt
   
vanadluffl pentoxide<1314~62-l>
xylene<1330-20-7>
zinc cyanide<557-21-l>
zinc phosphide<1314-84-7>
    tetrachloromethane<56-23-5>
(CAS)  CAS registry numbers of substances Included in data base:  50-07-7
    ; 311^45-5; 297^97-2? 630-20-6;   71-55-6| 79-34-5; 75-34-3?
    75-35-4?  57-14-7; 95-94-3; 96-12-8;   106-93-4; 95-SO-l> 107-06-2;
    78-87-5;  1615-80-1; 540-73-8; 122-66-7;       57-55-6; 156-60-5;
    542-75-6; 504-60-9; 1120-71-4; 110-57*6; 106-46-7;      123-91-1;
    130-15-4; 5344-82-1; 53-86-1; 106-89-8; 86-88-4; 134-32-7;
    541-73-1; 58-90-2; 95-95-4; 93-76-5;  93-72-1; 88-06-2; 120-83-2;
    94-75-7;  105-67^9; 51-28-5; 121^14-2; 541-53-7; 87-65-0; 606-20-2;
    53-96-3;  1338-23-4; 91-58-7; 95-57-8; 13lr89-5; 640-19-7; 116-06-3;
    75-55-8;  79-46-9; 109-06-8; 107-19-7; 88-85-7; 91-94-1; 119-90-4;
    119-93-7; 51^43-4; 542-76-7? 56-49-5; 101-14-4; 534-52-1; 504-24-5;
    101^55-3; 3165-93-3; 100-02-7; 2763-96-4; 99-55-8? 57-97-6;
    145-73-3;      152-16-9; 75-07-0? 67-64-1; 75-05-8? 98-86-2?
    75-36-5?  107^02-8?      79-06-1? 79-10-7? 107*13-1? 309-00-2?
                             552

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                             Accession No.  6303000109     (cont)

    107-18-6; 80-15-9; 122-09-8;    100-44-7; 20859-73-8; 61-82-5;
    131-74-8; 62-53-3; 1327-52-2;     1303-28-2; 1327^53-3; 1332-21-4;
    2465-27-2; 115-02-6; 542-62-1;       225-51-4; 98-87-3; 71-43-2;
    98-09-9; 108-98-5; 92-87-5; 56-55-3;      50-32-8; 98-07-7;
    111-91-1; 111-44-4; 39638-32-9; 117-81-7; 542-88-1;      598-31-2;
    74-83-9; 357-57-3; 13765-19-0; 592-01-8; 75-15-0; 353-50-4;
    75-87-6; 305-03-3; 57-74-9; 107-20-0; 108-90-7; 510-15-6; 124-48-1;
    75-01-4; 110-75-8; 67*66-3; 74-87-3; 107-30-2; 218-01-9; 544-92-3;
    1319-77-3; 4170-30-3; 98-82-8; 57-12-5; 506-68-3; 506-77-4;
    460-19-5;      110^82-7; 108-94-1; 50-18-0; 20830-81-3; 72-54-8;
    50-29-3; 55-91-4;   84-74-2; 117-84-0; 621-64-7; 2303-16-4;
    53-70-3; 189-55-9; 124-48-1;       74-95-3; 75-71-8; 75-09-2;
    696-28-6; 60-57-1; 1464-53-5; 84-66-2;     56-53-1; 94-58-6;
    60-51-5; 131-11-3; 77-78-1; 124-40-3; 79-44-7;      62-75-9;
    142-84-7; 115-29-7; 72-20-8; 141-78-6; 140-88-5; 60-29-7;
    97-63-2; 62-50-0; 107-12-0; 75-21-8; 96-45-7; 107-15-3; 151-56-4;
    206-44-0; 7782-41-4; 62-74-8; 75-69-4; 50-00-0; 64-18-6; 110-00-9;
    98-01-1; 765-34-4; 76-44-8; 118-74-1; 87-68-3; 58-89-9; 77-47-4;
    67-72-1; 70-30-4; 1888-71-7; 757^58-4; 302-01-2; 74-90-8;
    7664-39-3;       7783-06-4; 75-60-5; 193-39-S; 74-88-4; 9004-66-4;
    78-83-1; 624-83-9;       120-58-1; 143-50-0; 303-34-4; 301f04-2;
    7446-27-7; 1335-32-6;    108-31-6; 123-33-1; 109-77-3; 148-82-3;
    628-86-4; 7439-97-^6; 74-93-1;      67-56-1; 91-80-5; 16752-77-5;
    126-98-7; 79-22-1; 78-93-3; 1338-23-4;       60-34-4; 108-10-1;
    80-62-6; 298-00-0; 56-04-2; 494-03-1; 71-36-3;     70-25-7;
    759-73-9; 684-93-5; 615-53-2; 924-16-3; 621-64-7; 1116-54-7;
    55-18-5; 62-75-9; 86-30-6; 4549-40-0; 100-75-4; 930-55-2; 103-85-5;
    107-10-8; 91-20-3; 12612-55-4; 557-19-7; 54-11-5; 10102-43-9;
    98-95-3; 10102-44-0; 10102-44-0; 10544-72-6; 55-63-0; 636-21-5;
    9004-98-2; 465-73-6; 20816-12-0; 59-50-7; 106-47-8; 60-11-7;
    100-01-6; 123-63-7; 56-38-2; 608-93-5; 76-01-7; 82-68-8; 87-86-5;
    62-44-2; 108-95-2; 696-28-6; 62-38-4; 298-02-2; 75-44-5; 7803-51-2;
    1314-80-3; 85-44-9; 151-50-8; 506-61-6; 23950-58-5; 107-12-0;
    110-86-1; 50-55-5; 108-46-3; 81-*07-2; 94-59-7; 7783-00-8;
    7446-34-6;       630-10-4; 506-64-9; 26628-22-8; 143-33-9;
    1314-96-1; 57-24-9;    127-18-4; 56-23-5; 3689-24-5; 78-00-2;
    107-49-3; 109-99-9; 509-14-8;       1314-32-5; 563-68-8;
    29809-42-5; 7791-12-0; 10102-45-1; 12039-52-0;   7446-18-6;
    62-55-5; 79-19-6; 62-56-6; 137-26-8; 26471-62-5; 108-88-3;
    25376-45-8; 8001-35-2; 75-25-2; 79-01-6; 75-69-4; 75-70-7; 99-35-4;
    126-72-7; 72-57-1; 52-85-7; 66-75-1; 51-79-6; 11115-67*6;
    1314-62-1;       1330-20-7; 557^21-1; 1314-84-7
(CNH)  Contact name(s): Lee,C. C.  ;    lee*C*C.  ;    Lee*C.C*
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Engineering and Technology
                             553

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                             Accession No.   6304000921

(DQ)  Date of Questionaire:  12-02-82
(STATUS)  Status of entry:  Inactive
(NAM)  Name of Data Base of Model:  Wastewater Treatment Processes
    Information System
(ACR)  Acronym of Data Base or Model:  WTPIo
(MED)  Media/Subject of Data Base or Model: Effluents municipal
    uastewater treatment plants ;Other influents and instrearn hi
CABS)  Abstract/Overview of Data Base  or Model:  To provide  a
    centralized source of biological     ttastetiater treatment data
    related to design/ cost/     operation/ and  performance of
    municipal treatment facilities.
(CTC)  CONTACTS: Subject matter   Gary Meyer  (513) 684-7606 ;
    Computer-related  Pan Boggs
(DTP)  Type of data collection or monitoring: Point source  data
    collection municipal uasteuater treatment plants
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances represented in Data  Base: 11 conventional
    water
(NPP)  Non-pollutant parameters included in the  data base:  Concentration
    measures ;Cost/economic data ^Discharge points ;    Flow rates
    ^Location ^Sampling date ;Site description ^Treatment devices ;
    Volume/mass measures
CDS)  Time period covered by data base: 01-01-53 TO 01-30-80
(TRM)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: as needed
(NOB)  Number of observations in data  base: 210000.(Actual)
(NEI)  Estimated annual increase of observations in data base: 20000.
(INF)  Data base Includes:  Ran data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources covered in data  base:  295.
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(HOP)  Number of facilities covered in data base (source monitoring): 29
    5.
(GEO)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or source include:
    State ;County ;City > Town/ town ship
(FAC)  Data elements identifying facility include: Plant facility name
    ;Plant location ;SCC ;NPDES
(CDE)  Pollutant identification data are: Other  coding  scheme
(LIM)  Limitation/variation in data of Hhich user should be aware: Ident
    ical data not available for each plant.
(ANL)  Lab analysis based on EPA-approved or accepted methods? NO
(ADD)  Lab Audit: Data not based on lab analysis*
(PRE)  Precision; Precision and accuracy estimates exist but are  not
    Included in data base.
(EDT)  Edit ting: Edit procedures used and documented.
(CBY)  Data collected by: Regional office some Regional Offices
    ^Contractor-Various ones involved
(ABY)  Data analyzed by: State agency Several involved
    Con tract or-various ones involved
(IDL)  Laboratory Identification: NO


                             554

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                             Accession No.   6304000921      
    AD: 26 Vest St. Claire, Cincinnati, Ohio 45268
    PH: 513-684-7606
(DF)  Date of fora completion: 01-18-83
(NMAT)  Number of substances represented in data base:  11
(NCAS)  Number of CAS registry numbers in data base: 2
(MAT)  Substances represented in data base:
    acidity                              oil and grease
    alkalinity                           oxygen demand
    dissolved oxygen                     ph
    dissolved solids                     phosphorus<7723-14-0>
    fecal coliform                       suspended solids
    nitrogen<7727^37-9>
(CAS)  CAS registry numbers of substances included in data  base:  7727-37
    -9; 7723-14-0
(CNH)  contact name(s): Heyer/G.  ;    Boggs/P.  }    Bender,J.
(ROR)  Responsible Organization: Office of Research and
    Development.Offlee of Environmental Engineering and Technology
                             555

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                             Accession Ho.   6304000922

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model;  Boone County Field Site
(ACR)  Acronym of Data Base or Model:  BCFS
(MED)  Media/Subject of Data Base or Model:  Solid Haste ;0ther  Leachate
    ;0ther Landfill atmosphere
(ABS)  Abstract/Overview of Data Base or Models The data base includes
    the typically monitored for     landfill gases.  Metals, nutrients,
    and non-specific organic     measurements in leachate are recorded
    in specially designed compact data file  with subsequent  interactive
    plotting.,
(CTC)  CONTACTS: Subject matter   Dirk Brunner  (513) 684-7871     j
    Computer-related  Dirk B
(DTP)  type of data collection or monitoring: Combination/Other
    Landfill atmosphere (non-point) and leachate    {collection pipe)
(STA)  Data Base status: Discontinued
(NPP)  Non-pollutant parameters included in  the data base: Biological
    data ;Chemical data ^Collection method ;Concentration measures ;
    Discharge points ;Elevation ^Location ^Physical data ;Political
    subdivisions ;  Population density ^Precipitation ^Sampling data
    jSite description ;  Temperature ^Test/analysis method ?volume/mass
    measures ;Hardness ?   Digestion for metals ;Oxygen ;Calcium
CDS)  Time period covered by data base: 06-01-71 TO 09-30-80
(TRM)  Termination of data collections Occurred 08/30/80
(FRQ)  Frequency of data collection or sampling: Other  Variable
    (weekly, monthly, bi-monthly, quarterly)
{NOB)  Number of observations in data base:  20000.(Estimated)
(NEI)  Estimated annual increase of observations in data base:  (N/A.)
(IMF)  Data base includes: Ran data/observations
(NTS)  Total number of stations or sources covered in data base: 31.
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(NOF)  Number of facilities covered in data  base (source monitoring): 5.
(GEO)  Geographic coverage of data base: County/smaller location area
    around landfill in Walton, (Boone    County) Kentucky
(LOC)  Data elements identifying location of station or source  include:
    Project identifier
(CDE)  Pollutant identification data are: Uncoded
(LIM)  Limitation/variation in data of which user should be  auare: Data
    base contains data from different sampling   periods and not all
    parameters uere measured at same frequency.
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Analysi
    s method documented ;QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods?  YES
(AUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but are not
    included in data base.
(EDT)  Editting; No known edit procedures exist.
(CBY)  Data collected by: EPA lab Municipal  Environmental Research
    Laboratory-Cincinnati
(ABY)  Data analyzed by: Contractor lab Pedco Environmental
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection: Technology development


                             5S6

-------
                             Ace ess ion Ho.  630 4000 922     (cont}

(PR2)  Secondary purpose of data collection: Anticipatory/research
(AUT)  Authorization for data collections No statutory requirement:
    Data collection requirement is    to support research by Laboratory
    into gas and ieachate analysis.
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Fora of available reports and outputs of data base: Printouts on
    request
    Machine-readable ran data
    On-line computer
    Cathode ray tube (CRT) and paper plots
(NUS)  number of regular users of data base: 1 Office
(USR)  Current regular users of data base: EPA laboratories
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data! EPA lab
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software Locally developed software
    programs ;EPA hardware PDP-11

    barium<7440-39-3>
    cadmium<7440-43-9>
    carbon dioxide
    chenical oxygen demand (COD)
    chrcmium<7440-47-3>
    iron<7439-89-6>
    kjeldahl
    lead<7439-92-l>
    mercury<7439-97*6>
    nitrogen<7727-37-9>
    p-ortho
    phenol<108-95-2>
    sulfates
    total organic carbon (TOO
    total solids
    total volatile solids


                             557

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                             Accession No*   6304000922     (cont)

    zinc<7440-66-6>
(CAS)  CAS registry lumbers of substances Included in data base:  7440-38
    -2i 7440-39-31 7440-43-91 7440-47-31   7439-89-61 7439-92-U
    7439-97-61 7727-37-91 108-95-2i 7440-66-6
(CNN)  Contact nane(s): Brunner,D.i    Brunner^D-i    Brunner/D*
(ROR)  Responsible Organization: Office of  Research and
    Developaent.Office of Environmental Engineering and Technology
                             558

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                             Accession No.   6304000923


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                             Accession No.   6304000923     (cont)

(CBY)  Data collected by:  Contractor Science Management
    Corporation-Martin Associates

    chloride                             pH
    copper<7440~50-8>                    sodium and compounds<7440-23-5>
    iron<7439-89-6>                      total organic carbon (TOC)
    lead<7439-92-l>                      total solids
(CAS)  CAS registry numbers of substances included in data base: 7440-50
    -8; 7439-89-6; 7439-92-1; 7439-96-5;   7446-23-5
(CNM)  Contact nameis): Beck/tf.
(COR)  Contact organization: Office of Environmental Engineering
    Technology
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Engineering and Technology
                             560

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                             Accession No.   6304000924

(DQ)  Date of Questionaire:  12-02-82
(HAH)  Name of Data Base of  Model:  LiPari Landfill
(ACR)  Acronym of Data Base  or Model:  None
{MED)  Media/Subject of Data Base or Model:  Ground  Hater /Surface  Hater
    small tributary, small lake /Other Leachate  seeps
(ABS)  Abstract/Overview of  Data Base  or Model:  Prinary concern over
    presence of Bis-2-chloro     ethyl ether.  Various  organic
    pollutants and metals are     also present.
(CTC)  CONTACTS:  Subject natter   Woodward-Clyde Consultants   (215)
    825-3000;     EPA Office  Of
(DTP)  Type of data collection or monitoring:  Point source  data
    collection location of leachate seeps variable
(STA)  Data Base status: Discontinued
(NPP)  Non-pollutant parameters included in  the  data base:  Biological
    data /Concentration measures /Discharge  points  /Elevation / Flos
    rates /Funding data /Location /Physical  data /Political
    subdivisions /     Population density /Precipitation /Sampling date
    /Site description /  Temperature /Volume/mass measures  /Hind
    direction /Hind velocity
CDS)  Time period covered by data base: 05-01-71 TO 09-30-81
(TRM)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: Other  random
(NOB)  Number of observations In data  base:  13.(Actual)
(NEI)  Estimated annual increase of observations in data base:  (unknown*
(INF)  Data base includes: Summary aggregate observations
(NTS)  Total number of stations or sources covered  in  data  base: 4.
(NCS)  No. stations or sources currently originating/contributing  data:
    0.
(NQF)  Number of facilities  covered in data  base (source monitoring):  1.
(GED)  Geographic coverage of data base: County/smaller location
    Immediate vicinity of landfill site in     Glassboro, NJ
(LOG)  Data elements identifying location of station or source  include:
    State /County /Congressional district /City  /Town/township
(FAC)  Data elements identifying facility  include:  Plant facility  name
    /Plant location
(CDE)  Pollutant identification data are: Oncoded
(Lin)  Limitation/variation  in data of Mhich user should be aware: rando
    m sampling intervals, varied procedures  and   parameters according
    to individual organizations.  Quality  assurance procedures taken
    (questions 19 and 20) are unknown,
(PRE)  Precision: Precision  and accuracy estimates  are  not  available
(EOT)  Editting:  No known edit procedures exist.
(CBY)  Data collected by: Local agency Gloucester County/City of
    Glassboro /State agency  New Jersey Dept.  Regional  office Region II
    /Contractor lab Ross Nagel and Associates  /Contractor  Rohm and
    Haas/LMS Engineers
(ABY)  Data analyzed by: Local agency  Gloucester County/City  of
    Glassboro
    State agency New Jersey  Dept. of Environmental  Protection
    Regional office Region II
    Contractor lab Ross Nagel and Associates
    Contractor Rohm and Haas/LMS Engineers


                             561

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                             Accession No.  6304000924     (cont)

(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collections Anticipatory/research
(PR2)  Secondary purpose of data collection: Special study
(AUT)  Authorization for data collection:  No statutory requirement:
    Data collection requirement is    research in the area of
    grounduater protection
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Porn of available reports and outputs of data base: Unpublished
    reports Initial Summary Report-LiPari Landfill
(NUS)  Number of regular users of data base: 75
(USR)  Current regular users of data base: EPA headquarter offices
    Office of Research and Development, Office    of Enforcement,
    Office of General Counsel
    EPA regional offices
    EPA laboratories
    States
    Chemical Manufacturer's Association
(CNF)  confidentiality of data and 1 in its on access: No Holts on
    access to data
          bis(2-chloroisopropyl)ether
    Itl-dichloroethylene<75-35~4>           <39638-32-9>
    l,2,4,-trichiorobenzene<120-82-l>    bls{2-ethylhexyl)phthalate
    l,2-dichlorobenzene<95-50-l>            
    l,2-dichloroethane<107-06-2>         bis-2 chloro ethoxy ethane
    1,2-trans-dichloroethylene           cadmium<7440-43-9>
       <156-60-5>                        chlorobenzene<108-90-7>
    3,4-dlhydroxy-alpha-(iiethyla«iino)-   chloroethane<75-00-3>
       methyl benzyl alcohol             chloroforra<67t>66-3>
    acrolein<107^02-8>                   chromium<7440-47-3>
    acrylonitrile<107-13-l>              di-n-octyl phthalate<117*84-0>
    arsenic<7440-38-2>                   diethyl phthalate<84-66-2>
    ben?ene<71-43-2>                     dimethyl ethyl phenol
    bis<2-chloroethyl)ether<111^44-4>    ethyl hexyl phthalate
                                         ethylben2ene<100-41-4>


                             562

-------
                             Accession No.   6304000924     (cont)

    lead<7439-92-l>                      seleniura<7782-49-2>
    raercury<7439-97-6>                   silver<7440-22-4>
    methyl phenol                        tetrachloroethylene<127-18-4>
    methylene chloride                   tetromethyl ethyl phenol
    naphthalene<91-20-3>                 toluene<108-88-3>
    nickel<7440-02-0>                    trichloroethylene<79-01-6>
    phenol<108-95-2>                     vinyl chloride<75-01^4>
    phenyl ethanane                      zinc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data base: 75-34-3
    ; 75-35-4; 120-82-1; 95-50-1;     107-06-2; 156-60-5; 107-02-8;
    107-13-1; 7440-38-2; 71-43-2; 111-44-4;      39638-32-9; 117-81-7;
    7440-43-9; 108-90-7; 75-00-3; 67-66-3;      7440-47-3; 117r84-0;
    84-66-2; 100-41-4; 7439-92-1; 7439-97-6;    91-20-3; 7440-02-0;
    108-95-2; 7782-49-2; 7440-22-4; 127-18-4;    108-88-3; 79-01-6;
    75-01^4; 7440-66-6
(CQR)  Contact organization: Office of Enforcement/ Office of General
    Counsel
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Engineering and Technology
                             563

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                             Accession No.   6304000925

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Contrary Creek project-803801
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model: Soil ;Surface water creek
    ;Other Solid waste:  pyrite waste and sludge
(ABS)  Abstract/Overview of Data Base or Model: Data for this data base
    comes from sampling  of Contrary Creek/ Virginia, uhich Is heavily
    polluted with heavy metals.  Sewage sludge being used to treat
    pyrite mine waste and sludge is sampled, as well as soil.
(CTC)  CONTACTS: Subject matter   Ronald Hill  (513) 684-7861;
    Computer-related  Kenneth Hin
0ther As needed for sludge and soil observations
(NOB)  Number of observations In data base: 4000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: 700.
(INF)  Data base includes: Raw data/observations ^Summary aggregate
    observations
(NTS)  Total number of stations or sources  covered in data base:  15*
(NCS)  No. stations or sources currently originating/contributing data:
    15.
(NOF)  Number of facilities covered in data base (source monitoring): (N
    /A.)
(6EO)  Geographic coverage of data base: County/smaller location
    Contrary Creek watershed, Virginia
(LOO  Data elements identifying location of station or source include:
    State ;County ^Project identifier
(FAC)  Data elements identifying facility include! Program identifier
(CDE)  Pollutant identification data are: Storet parameter
    Oncoded
(LIM)  Limitation/variation in data of uhich user should be aware: Sludg
    e and soil data is not coded.
(DPR)  Data collect./anal, procedures conform to ORD guidelines:  Samplln
    g plan documented /Collection method documented /Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but are not
    included in data base.
(EOT)  Editting: No known edit procedures exist.
(CB¥)  Data collected by: state agency Virginia State Hater Quality
    Control Board
(ABY)  Data analyzed by: State agency Virginia State Water Quality
    Control Board


                             564

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                             Accession No.   6304000925     (cont)

(IOL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Anticipatory/research
(AOT)  Authorization for data collection:  Statutory authorization is P
    L 92-500 as amended, Section 107 (Clean Mater  Act-CHA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Fora of available reports and outputs of data base: Unpublished
    reports Control of heavy metals in Contrary Creek.
    Printouts on request
(NOS)  Number of regular users of data base: 5
(USR)  Current regular users of data base:  EPA laboratories
    Other federal agencies
    States
(CNF)  Confidentiality of data and limits on access: Ho limits on
    access to data
(DLC)  Primary physical location of data:  State agency
(DST)  Form of data storage: Original form (hardcopy, readings)
(DAC)  Type of data access: Manually ;EPA software STORET (Storage and
    Retrieval of Hater Quality  Data) ;EPA hardware IBM 370/168
(CHG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base master file up-date: Quarterly
(RSS)  Related EPA automated systems which use data base: STORET
    (Storage and Retrieval of Water  Quality Data) can access some of
    the data.
(CMP)  Completion of form:
    Ronald Hill
    OFC: EPA/(QRD)/OBET)/(MBRL-CI1Q
    AD; Municipal Environmental Research Lab, Cincinnati, OH 45268
    PH: (513) 684-7861
(OF)  Date of form completion: 01-18-83
(NMAT)  number of substances represented in data base: 22
(NCAS)  Number of CAS registry numbers in data base: 16
(MAT)  Substances represented in data base:
    acidity                              iron<7439-89-6>
    alkalinity                           lead<7439*92-l>
    aluminum<7429-90-5>                  »anganese<7439-96-5>
    arsenic<7440-38-2>                   raercury<7439-97-6>
    cadaium<7440-43-9>                   nickel<7440-02-0>
    calcium hydroxide<1305-62-0>         oxygen demand
    chromium<7440-47-3>                  pH
    copper<7440-50-8>                    potassium<7440«-09-7>
    cyanide*57-12-5>                     sodium<7440-23»5>
    fecal coliform                       sulfates
    fluorene<86-73-7>                    zinc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data base: 7429*90
    -5; 7440-38-2J 7440-43-9; 1305-62-0;   7440-47-3; 7440-50*8;
    57-12-5; 86-73-7; 7439-89-6; 7439-92-1;    7439-96-5; 7439-97-6;
    7440*02-0; 7440-09-7; 7440-23-5> 7440-66-6
(CNN)  Contact name(s): Hill,R.   ;    Hinkle,K. ;    Hill,R.
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Engineering and Technology
                             565

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                             Accession No.   6304000932

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Estimating Water  Treatment  Costs
(ACR)  Acronym of Data Base  or Model:  GULP
(KED)  Media/Subject of Data Base or Model:  Other Economic  data
    associated with building and  operating  drinking water  treat
(ABS)  Abstract/Overview of  Data Base  or Model:  The  construction  and
    operation/maintenance costs for   99 unit processes associated  with
    drinking water treatment are   accessible through the use  of  a
    computer program written in FORTRAN.  Energy requirements  are also
    specified where possible.
(CTC)  CONTACTS:  Subject matter  Robert M. Clark      (513) 684-7488
    }     Computer-related  R
(DTP)  Type of data collection or monitoring: Combination/Other data
    collection Literature and cost  estimates
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented In Data  Base: Other-No specific
    Information is collected on the various   drinking water contas
(KPP)  Bon-pollutant parameters included In  the  data bases  Cost/economic
    data ;Energy use
(DS)  Time period covered by data base: 08-00-79

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                             Accession No.   6304000932     (cent)

    offices-various
    EPA regional offices
    EPA laboratories
    States
    Consultants
(CNF)  Confidentiality of data and limits on access:  No Units on
    access to data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage:  Magnetic disc
(DAC)  Type of data access: EPA software: PDP-11
(CHG)  Direct charge for non-EPA use; No
(UPDT)  Frequency of data base master file up-date: Other Hone
(RSS)  Related EPA automated systems which use data base: Hone
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    Hone
(ROB)  Non-EPA data bases used in conjunction with this data base: None
(CMP)  Completion of forms
    Richard G. Eilers
    QFC: EPA/MERL/DHRO
    AD: Cincinnati, Ohio  45268
    PH: 1513) 684-7809
(DF)  Date of form completion: 01-18-83

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                             Accession No.   6402000102

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Aerosol  Data Management Information
    System
(ACR)  Acronym of Data Base or Model: ADMIS
(MED)  Media/Subject of Data Base or Model: Air
(ABS)  Abstract/Overview of Data Base or Model: Data base contains data
    from x-ray fluorescence analysis of elemental composition    of
    aerosols collected by dichotoraous samplers.    Data contains filter
    statistics plus the following     elements: Si, P, S, Cl, K, Ca,
    Tl, V, Cr, Mn, Fe, Co, Mi, Cu*  Zn, G%f  Ge, As* Se, Be/ Rb, Srf Cd*
    Sn,    Sb/ Ba, H, Hg, Pb, Al.  Some samples contain uet  chemistry
    data:  50(4)), (TH), NQ<3), (1C), N0(3), (TH), Nfl(4), H<+>
(CfC)  COSTACTS: Subject Hatter   Dr. Bill  Courtney  (919)541-4540;
    Computer-related Stephanie Tysinger (919)541-2846; EPA Office/
    Robert Stevens (919)541-3156
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Operational/ongoing
(NPP)  Non-pollutant parameters included in the database: Flow rates
    ;Sampling date ;Site description ;Volume/aass measures ;    Sample
    Start time ;sampling duration
CDS)  Time period covered by data base: 01-01-78 to 12-31-82
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: daily
(NOB)  Number of observations in data base: 15,000.(Actual)
(NEI)  Estimated annual increase of observations in data base: 3000 (to
    HOOO.
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data base: 32.
(NCS)  No. stations or sources currently originating/contributing data;
    32.
(NQF)  Number of facilities covered In data base (source monitoring): (N
    /A.)
(GEO)  Geographic coverage of data base: International
(LOG)  Data elements identifying location of station or source include:
    State juser-supplied identification
(FAC)  Data elements identifying facility include: Northrop supplied
    Identification
(CDE)  Pollutant identification data are: Oncoded
(LIH)  Limitation/variation in data of which user should be aware: Mo
    unusual variations
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(PRE)  Precision: Precision and accuracy estimates exist for all
    measurements.
(EOT)  Editting: Edit procedures used and documented.
(CBY)  Data collected by: EPA lab inorganic pollutant Branch,
    Environmental Sciences  Research Laboratory
(ABY)  Data analyzed by: Contractor Northrop Services, Inc.
CIDL)  Laboratory identification: NO
(AUT)  Authorization for data collection: No statutory requirement:
    Data collection requirement is    the on-going research at the
    Laboratory.
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:


                             568

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                             Accession No.   6402000102     (cont)

    QQ
(REP)  Form of available reports and outputs of data base: Machine-reada
    ble raw data
(NUS)  Number of regular users of data base: 6
(tJSR)  current regular users of data base:  EPA laboratories
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(OLC)  Primary physical location of data: Contractor
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access:  EPA software N/A  MIDS:6402600902 ;
(CHG)  Direct charge for non-EPA use: No outside use/access permitted
(UPDT)  Frequency of data base master file up-date: Weekly
(CMP)  Completion of fora:
    Muriel Easterling
    OFC: Northrop Services,  Inc.
    AD:RTP, MC 27711
    PH: (919)541-2846
(DF)  Date of form completion: 01-28-83
(NMAT)  Number of substances represented in data base: 36
(MAT)  Substances represented In data base:
    calcium                              strontium
    gallium                              sulfur
    germanium                            tin
    rubidium                             tungsten
    silicon                              fflore(See ABS)
(CNM)  Contact name(s): Courtney/B.    ^Tysinger^S.;    Stevens,R.
(RQR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Processes and Effects Rese
                             569

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                             Accession No.   6402000103

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Infrared Spectra of  Pollutants
(ACR)  Acronym of Data Base  or Models  ROSE
(MED)  Media/Subject of Data Base or Model: Air ;Emissions   point  and
    non-point source ;Mobile source emissions ?  Other  pure samples of
    individual pollutants
(ABS)  Abstract/Overview of  Data Base  or Model: <1) High resolution
    (o.l cm(-l))  infrared long-path    absorption and single-emission
    spectra of gaseous pollutants     emitted by point  and  extended
    area sources; (2) Laboratory  calibration spectra of the various
    pollutants:  the spectral     region covered is 700-6,000 cm(-l)
    (1.7-14 microns).
(CTC)  CONTACTS:  Subject matter   William F. Herget  (919)541-3034
    ;     Computer-related  H
(DTP)  Type of data collection or monitoring: Combination/Other
    ambient, non-point source, and point source stack    emissions
(STA)  Data Base  status: Operational/ongoing
(NPP)  Non-pollutant parameters included in the data base:  Collection
    method }Concentration measures
(DS)  Time period covered by data base: 01-01-77 TO 11-30-80
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency  of data collection or sampling: as needed
(NOB)  Number of  observations in data  base: 300.(Estimated)
(INF)  Data base  includes: Summary aggregate observations
(NTS)  Total number of stations or sources  covered in data  base: 10.
(NCS)  No. stations or sources currently originating/contributing  data:
    0.
(NOF)  Number of  facilities  covered in data base (source monitoring): 10
    •
(GEO)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or source include:
    Project Identifier
(FAC)  Data elements identifying facility include: Program  identifier
(CDE)  Pollutant  identification data are: Other coding  scheme
(LIM)  Limitation/variation  in data of which user should be aware: None
(DPR)  Data collect./anal, procedures  conform to ORD guidelines: Samplin
    g plan documented ^Collection method documented ^Analysis method
    document
(ANL)  Lab analysis based on EPA-approved or accepted methods? NO
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision  and accuracy estimates exist but are not
    included in data base    Edit Some of the data has  been edited,
    some has not  yet been edited.
(CBY)  Data collected by: EPA lab Environmental Sciences Research
    Lab-Research   Triangle Park
(ABY)  Data analyzed by: EPA lab Environmental Sciences Research
    Lab-Research  Triangle    Park
(IDL)  Laboratory identification: NO
(AUT)  Authorization for data collection: Statutory authorization  is P
    L 88-206 as amended (Clean Air Act-CAA)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ


                             570

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                             Accession No.   6402000103     (cont)

(REP)  Form of available reports and outputs of data base:  Publications
    Applied Optics 18, 3404-3420, 1979
    Publications Optical Engineering 19,  508-514, 1980
    Machine-readable raw data
(NUS)  number of regular users of data base: 3
(OSR)  Current regular users of data base:  EPA headquarter  offices
    Stationary Source Enforcement Division
    EPA regional offices
    Other federal agencies
(CNF)  Confidentiality of data and limits on access: Units on outside
    access for some data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storages Magnetic disc
(DAC)  Type of data access: Commercial software Nicolet Instrument
    Corporation ;MIDS:6402500903
(CHG)  Direct charge for non-EPA use: no
(UPOT)  Frequency of data base master file up-date: Other as needed
(CMP)  Completion of form:
    William F. Herget
    OFCJ EPA/(ORD)/(OEPER)/(ESRL-RTP)
    AD: Research Triangle Park, NC, 27711
    PH: (919) 541-3034
(OF)  Date of form completion: 02-10-83
(NMAT)  Number of substances represented in data base: 26
(NCAS)  Number of CAS registry numbers In data base: 3
(NAT)  Substances represented in data base:
    acetaldehyde<75-07-0>                hydrofluoric acid<7664-39-3>
    acetone<67-64-l>                     hydrogen cyanide<74-90-8>
    acrolein<107-02-8>                   methanol<67-56-l>
    carbon disulfide<75-15-0>            nitric acld<7697-37-2>
    carbon monoxide<630-08-0>            nitric oxide<10102-43-9>
    carbon tetrachlorlde<56-23-5>        nitrogen dioxide<10102-44-0>
    chlorofluorocarbons                  ozone<10028-15-6>
    ethylene dibromlde (edb)<106-93-4>   sulfur dioxide<7446-09-5>
    ethylene dichloride<107-06-2>        sulfuric;acid<7664-93-9>
    formaldehyde<50-00-0>                toluene<108-88-3>
    furfural<98-01-l>                    trichloroethylene<79-01-6>
    hydrocarbons                         vinyl chloride<75-01-4>
    hydrochloric acid<7647-01-0>         fluorides
(CAS)  CAS registry numbers of substances included in data  base: 75*07-0
    ; 67-64-1; 107-02-8; 75-15-0;     630-08-0; 56-23-5; 106-93-4;
    107-06-2; 50-00-0; 98-01-1; 7647-01-0;   7664-39-3| 74-90-8;
    67-56-1; 7697-37-2; 10102-43-9; 10102-44-0;       10028-15-6;
    7446-09-5; 7664-93-9; 108-88-3; 79-01-6; 75-01-4
(CUM)  Contact name(s): Herget,U.F.    ;    Herget,W.F.    ;
    Herget/H.F.
(ROR)  Responsible Organization: Office of Research and
    Development.Offlee of Environmental Processes and Effects Rese
                             571

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                             Accession No.   6402000104

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Northeastern Regional  Oxidant  Study
  Precision: Precision  and accuracy estimates exist  but are  not
    included in data base.   Edit in process of being developed,
(CBY)  Data collected by: Local agency agencies in Northeastern U.S
    ;State agency Northeastern states ;    Regional office Regions I,
    II, and III ?SPA lab Environmental Monitoring Systems Lab-Las
    Vegas,     Environmental Monitoring Support Lab-RTP ^Contractor
    Environmental Measurements Inc. ;    Other federal agency
    NQAA-Boulder ;Washington State University


                             572

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                             Accession No.   6402000104     (cent)

(ABY)  Data analyzed oy;  EPA lab Envlronaental Monitoring Systems
    Lab-Las Vegas Environmental Monitoring  Support Lab-RIP
(IDL)  Laboratory identification: HO
(PR1)  Primary purpose of data collection!  Special study
(AOT)  Authorization for  data collection: Statutory authorization is P
    L 88-206, Section 310 (Clean Air Act-CAA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base: Machine-reada
    ble raw data
(NUS)  Nuaber of regular  users of data base: 10
(USR)  Current regular users of data base:  EPA headquarter offices
    Office of Air Quality Planning and Standards
    EPA laboratories
(CNF)  Confidentiality of data and limits on access: No Units on
    access to data
(DLC)  Primary physical location of data: EPA tab
(DST)  Fora of data storage: Magnetic tape
(DAC)  Type of data access: Commercial software locally developed
    program ;EPA hardware UNIVAC 1110
(CHG)  Direct charge for  non-EPA use: yes
(OPDT)  Frequency of data base master file  up-date: Quarterly
(RSS)  Related EPA automated systems uhich use data base: Northeast
    Qxidant study
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    SARCAD and NEDS
(ROB)  Non-EPA data bases used in conjunction with this data base: RAHAR
    C from National Oceanic  and Atmospheric Administration (NOAA)
(CMP)  Completion of form:
    Janes Reagan
    OFC: Office of Research and Development Environmental
    Sciences Research Laboratory
    AD: MD-80 RIP, NC 27711
    PH: (919) 541-4486
(DF)  Date of form completion: 04-14-83
(NMAT)  Number of substances represented in data base: 11
(NCAS)  Number of CAS registry numbers in data base: 10
(MAT)  Substances represented in data base:
    acetaldehyde<75-07-0>                o-xylene<95-47-6>
    carbon monoxide<630-Q8-0>            ozone<10028-15-6>
    forraaldehyde<50-00-0>                p-xylene
    hydrocarbons                         sulfur dibxide<7446-09-5>
    m-xylene<108-38-3>                   toluene<108-88-3>
    nitrogen dloxide<10102-44-0>
(CAS)  CAS registry numbers of substances Included in data oase: 75-07-0
    ; 630-08-0; 50-00-0;  108-38-3;    10102-44-0; 95-47-6; 10028-15-6;
    106-42-3; 7446-09-5;  108-88-3
(CNM)  Contact nane(s): Reagan*J. ;    Novak/J.  ;    Branch/A.M.
(ROR)  Responsible Organizations Office of Research and
    Development.Office of Environmental Processes and Effects Rese
                             573

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                             Accession Ho.   6402QVOil05

(DQ)  Date of Questionaire:  12-02-82
(NAN)  Name of Data Base of  Model;  Aerosol  Characterization  Study
(ACR)  Acronym of Data Base  or Model;  ACHEX
(MED)  Media/Subject of Data Base or Model: Air
(ABS)  abstract/Overview of  Data Base  or Model: Data Here collected
    during a 3 month period  in the  Fall of  1977  in Southern
    California.  The overall objective of the study «as to
    characterize physical and chemical characteristics of California
    aerosols,  fhe Minnesota group  concentrated on;physical  properties
    of aerosols tilth respect to stz««
CCTC-)  CONTACTS: Subject natter  K.T. ..Vhitby,  University of Minnesota
    (612)
(DTP)  Type of data collection or monitoring* Ambient data collection
(STA)  Data Base status? Discontinued
(NPP)  Mon-pollutant parameters included in the data bases Chemical
    data ;Elevation ^Sampling date  |Site description ^Temperature ;
    Test/analysis method jWind direction |Mind velocity ^Aerosol  size
    distributions
(DS)  Time period covered by data bases 08-01-72 TO 11-30-72
(TRM)  Termination of data collections Occurred 11/30/72
(FRQ)  Frequency of data collection or sampling; Other continuous
    during intensive runs
(NOB)  Number of observations in data  base: lOQOQuOO., (Estimated)
(NET)  Estimated annual increase of observations in data base:  (fi/A.)
(INF)  Data base includes: Raw data/observations £Summary aggregate
    observations
(NTS)  Total number of stations or  sources  covered in data base:  9.
(NCS)  No. stations or sources currently originating/contributing data:
    1.
(NOF)  Number of facilities  covered in data base (source monitoring): 1.
(GEO)  Geographic coverage of data bases Single state California
(LOC)  Data elements identifying location of station or source  Include:
    documentation identifies source
(FAC)  Data elements identifying facility include:  documentation
    Identifies facility
(CDE)  Pollutant identification data are: encoded
(DPR)  Data collect*/anal, procedures  conform to ORD guidelines:  Sarapiin
    g plan documented ^Collection method documented lAnalysis method
    document QA procedures documented
(ANL)  tab analysis based on EPA-approved or accepted methods?  NO
(AUD)  Lab Audit: Lab audit  is satisfactory*
(PRE)  Precision: Precision  and accuracy estimates oxist but are  not
    included in data base
(EDT)  Editting: Edit procedures used  and documented.
(CBV)  Data collected by: Contractor lab University of Minnesota
    Particle Lab
(ABY)  Data analyzed by: Contractor lab University of Minnesota
    Particle Lab
(1DL)  Laboratory Identification: YES
(PR1)  Primary purpose of data collection:  Anticipatory/research
(AOT)  Authorization for data collection: Statutory authorization is  to
    characterize California  aerosols


                             574

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                             Accession No.   6402000105      (cont)

(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    The Character and Origins of Smog Aerosols
    Unpublished reports ACHEX Data
(NUS)  Number of regular users of data base: 10-15
(IJSR)  Current regular users of data base:  EPA laboratories
    University of Minnesota
    California state government
(CNF)  Confidentiality of data and limits on access: Mo limits on
    access to data
(DLC)  primary physical location of data: Contractor
(DST)  Form of data storage: Original fora  (hardcopy, readings)
(CHG)  Direct charge for non-EPA uses Yes
(OPDT)  Frequency of data base master file  up-date: Other None, project
    complete
(CMP)  Completion of form:
    Peter H. McMurry                             ,
    OFC: Department of Mechanical Engineering, University of Minnesota
    AD: 111 Church St./ SB, Minneapolis, MH  55455
    PH: (612) 373-5647
(DF)  Date of form completion: 02-18-83
(HMAT)  Number of substances represented in data base:  2
(NCAS)  Number of CAS registry numbers in data base: 2
(MAT)  Substances represented in data base:
    ozone                    sulfur dloxide<7446-09-5>
(CAS)  CAS registry numbers of substances Included in data base: 10028-1
    5-6; 7446-09-5
(CNM)  contact name(s): Khitby,K.T.
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects Rese
                             575

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                             Accession No.   6402000106

(DQ)  Date of Questlonaires 12-02-82
(NAM)  Same of Data Base of Model:  General  Motors Proving Grounds
    Sulfate Study
(ACR)  Acronym of Data Base or Model:  GM
(MED)  Media/Subject of Data Base or Model: Air ;Hobile source
    emissions
(ABS)  Abstract/Overview of Data Base or Model: Aerosol size
    distributions were measured in air which Mas upMind and doHnuind of
    the General Motors Proving Grounds*  Catalyst equipped cars
    Here traveling on the track.  The objective lias to study the
    effects of    catalyst emissions on ambient air quality.
(CTC)  CONTACTS: Subject natter   K.T. Whitby, University of Minnesota
    (612)    ;     Conputer-
(DTP)  Type of data collection or monitoring:  Ambient data collection
(STA)  Data Base status: Discontinued
(NPP)  Non-pollutant parameters Included in the data base:  Chemical
    data |Sampling date jSite description ^Temperature ;
    Test/analysis method }Hind direction ;Hind velocity ;Aerosol  size
    distributions
(DS)  Tine period covered by data base: 10-00-75
(TRM)  Termination of data collection: Occurred 10/30/75
(FRQ)  Frequency of data collection or sampling: one tine only
(NOB)  Number of observations In data base: 10000000.(Estimated)
(NEI)  Estimated annual increase of observations in data base:  
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                             Accession No.   6402000106      (cont)

(PR1)  Primary purpose of data collection:  Special study
(AUT)  Authorization for data collection:  Statutory authorization  is  to
    study aerosol emissions from catalyst     equipped cars
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Unpublished
    reports General Motors Proving Grounds     Study-Minnesota Data
    Machine-readable raw data
(NUS)  Number of regular users of data base: 10-15
(DSR)  Current regular users of data base:  EPA laboratories
    University of Minnesota
    Environmental Sciences Research Lab-Research Triangle Park/ NC
(CNF)  Confidentiality of data and Units  on access: Mo limits on
    access to data
(DLC)  Primary physical location of data:  Contractor
(DST)  Form of data storage: Magnetic tape ^Original form (hardcopy,
    readings)
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Other None/ project
    complete
(CMP)  Completion of form:
    Peter H. McMurry
    OFC: Department of Mechanical Engineering, University of Minnesota
    AD: 111 Church St, SE, Minneapolis, MN 55455
    PH: (612) 373-5647
(DF)  Date of form completion: 02-18-83
(NMAT)  Number of substances represented in data base:  12-02-82      1
(MAT)  Substances represented in data base:
    sulfates
(CNM)  contact name(s): Hhitby/K.T.    ;    Valentine,H.
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Processes and Effects Rese
                             577

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                             Accession No.   6402000107

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Labadie  Potter Plant  Study-75
(ACR)  Acronym of Data Base  or Model:  HISTT 75
(NED)  Media/Subject of Data Base or Model: Air ^Emissions   Labadie
    Power Plant plume
(ABS)  Abstract/Overview of  Data Base or Model: Data were acquired
    during an intensive field program.   A primary objective of  the
    project was to measure secondary aerosol formation  in     the
    Labadie Power Plant plume.  Some St* Louis urban plume  data were
    also  acquired* Aerosol  size distributions and meteorological
    parameters are     included.
(CTC)  CONTACTS: Subject matter   K.T-  Nhitby, University of Minnesota
    (612)    |     Computer-
CD TP)  Type of data collection or monitoring:  Ambient data  collection
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances  represented in  Data Base: 7 criteria NAAQS
    ;41 CHA potential criteria
(NPP)  Non-pollutant parameters included in the data base:  Chemical
    data ;Elevation ;Sampling date ;Site description ^Temperature >
    Test/analysis method ;Wind direction jHind velocity jAerosol size
    distributions ;    Meteorological parameters
(OS)  Tine period covered by data base: 07-01-75 TO 08-30*75
(TRM)  Termination of data collection:  Occurred 08/30/75
(FRQ)  Frequency of data collection or sampling: Other  daily during
  8  intensive study-continuous sampling*
(NOB)  Number of observations in data base: 10000000.(Estimated)
(NEI)  Estimated annual increase of observations in data base:  (N/A.)
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources  covered in data  base: 1.
(NCS)  No. stations or sources currently originating/contributing data:
    (N/AO
(NOF)  Number of facilities  covered In data base (source monitoring): 1.
(GEO)  Geographic coverage of data base: County/smaller location St.
    Louis area-Missouri and  Illinois
(LOG)  Data elements identifying location of station or source include:
    State ;Clty ;Documentation Identifies source
(FAC)  Data elements identifying facility include: Plant facility name
    jDocusientation identifies facility
(CDE)  Pollutant identification data are: Uncoded
(LIM)  Limitation/variation  in data of which user should be aware: This
    was a several week intensive field study.
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Samplln
    g plan documented ^Collection method documented ;Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods?  NO
(AUD)  Lab Audit: Lab audit  is satisfactory.
(PRE)  Precision: Precision  and accuracy estimates exist but are not
    included in data base
(EOT)  Edittlng: Edit procedures used and documented.
(CBY)  Data collected by: Contractor lab University of  Minnesota
    Particle Lab


                             578

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                             Accession No.   6402000107     (cont)

(ABY)  Data analyzed by:  Contractor lab University «f Minnesota
    Particle Lab
(IDL)  Laboratory identification:  YES
(PR1)  Primary purpose of data collection:  Special study
(AUT)  Authorization for  data collection:  statutory authorization  is to
    study aerosol formation in poHer plant  plume
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  form of available  reports and outputs of data base:  Unpublished
    reports 1975-Labadie  data
          sulfur dioxide<7446-09-5>
    ozone<10028-!5-6>                    sulfates
(CAS)  CAS registry numbers of substances included In data base: 10102-4
    4-Oj 10028-15-6; 7446-09-5
(CNH)  Contact name(s): Hhitby/K.T.    }    Valentine,N.
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects  Rese
                             579

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                             Accession No.   6402000108

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Labadie  Power Plant Study-76

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                             Accession No.   6402000108     (cont)

    Particle Lab
(ABY)  Data analyzed bys  Contractor lab University of Minnesota
    Particle Lab
(IDL)  Laboratory identification:  YES
(PR1)  Primary purpose of data collection:  Special study
C1UT)  Authorization for  data collection: Statutory authorization  1$ to
    study aerosol formation in power plant  plume
(OMB)  Data collected/submitted using OMB*approved EPA reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base:  Unpublished
    reports 1976-Labadie  data
    Microfilm
    Machine-readable raw  data
(NUS)  Number of regular  users of data base: 10-15
(USR)  Current regular users of data base:  EPA laboratories
    University of Minnesota
    Environmental Sciences Research Lab-Research Triangle Parks NC
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data:  Contractor
(DST)  Fora of data storage: Magnetic tape
(CHG)  Direct charge for  non-EPA use: yes
(UPDI)  Frequency of data base master file  up-dates Other None/ project
    complete  Related EPA systems; MISTT Data Analysis D64020001
(RDBEPA)  Related EPA data bases used in conjunction aith this data base
    HISTT Data Analysis D6402000107    NH;  Peter H. McMurry     OFC:
    Department of Mechanical Engineering, University of Minnesota
    AD: 111 Church St, SE, Minneapolis, MN  55455 PH: (.612)  373-5647
          sulfur dioxlde<7446-09-S>
    ozone<10028-15-6>                    sulfates
(CAS)  CAS registry numbers of substances included in data  base: 10102-4
    4-0; 10028-15-6; 7446-09-5
(CNN)  Contact naoe(s): Whitby,K.T.    ;    Valentine^N.
(ROR)  Responsible Organizations Office of  Research and
    Development.Office of Environmental Processes and Effects Rese
                             581

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                             Accession No.   6402000109

(DQ)  Date of duestionalre: 12-02-82
(NAM)  Mane of Data Base of Model:Sulfur Regional Experiment
(ACR)  Acronym of Data Base or Model: SURE
(MED)  Media/Subject of Data Base or Models Air ;Emissions
    commercial/institutional area. Industrial area/   residential area,
    transportation area, small National Emissions Data  System (NEDS),
    major point sources
(A8S)  Abstract/Overview of Data Base or Model: Ground data, emissions
    inventory, and aircraft data for     the Sulfur Regional Emperiment
    (SURE) region*  Ground data  contains:   hourly averages of sulfur
    dioxide (S0<2», nitrogen   oxides (N0) in parts per million (PPM) and temperature and dew
    point in degrees Centigrade, 24-hour readings of total suspended
    participates     (TSP) and various ions:  S0<4> (sufate), N0<3>
    (nitrate), NH<4>  (ammonium) and Cl(-) (chlorine) In
    micrograns/cubic meter, and   three hour sequential filter readings
    of TSP and RSP/SO<4> in    micrograms per cubic meter.
(CTC)  CONTACTS: Subject natter   Or. Karen Warren  (805) 497-0821;
    Computer-related  Hevin
(DTP)  type of data collection or monitoring: Combination/Other snail
    National Emissions Data System (NEDS); major   point sources;
    ambient and non-point sources
(STA)  Data Base status: Discontinued
(NPP)  Non-pollutant parameters included in the data base: Chemical
    data ^Collection method ^Elevation iFlou rates ;Location ;
    Sampling date ;Site description ;Temperature ;Volume/mass measures
    f  dew point ;emission rate factors jneekday/tteekend factors
(DS)  Tine period covered by data base: 08-01-77 TO 10-30-78
(TRM)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: hourly ;daily
    ^quarterly jQther 3-hour Intervals
(NOB)  Number of observations in data base: 30000000.(Estimated)
(NED  Estimated annual increase of observations in data base: 0.
(INF)  Data base includes: Ray data/observations >Summary aggregate
    observations ;Reference data/citations
(NTS)  Total number of stations or sources covered in data base: 54*
(NCS)  No. stations or sources currently originating/contributing data:
    45 (or less.)
(NOF)  Number of facilities covered In data base (source monitoring): (N
    /A.)
(GEO)  Geographic coverage of data base: Selected federal region
    Regions I, II, III, V, and parts of If
(LOG)  Data elements identifying location of station or source Include:
    State ;County ^Coordinates UTM JSulfur Regional Experiment (SURE)
    grid coordinat
(FAC)  Data elements identifying facility includes Plant location
    ;point code
(CDE)  pollutant identification data are: Other coding scheme
(LIM)  Limitation/variation in data of uhich user should be aware: The
    data base is missing ground data records for some  days for some
    sites.
(DPR)  Data collect./anal, procedures conform to GRD guidelines: Samplin


                             582

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                             Accession Ho.   6402006109     Ccont)

    g plan documented |Collection method documented |QA procedures
    documented
CAUL)  Lab analysis based on EPA-approved or accepted methods? NO
(ADD)  Lab Audit;  Data not based on lab analysis*
CPRE)  Precision:  Precision and accuracy estimates exist but are not
    included in data base
(EOT)  Editting: Edit procedures used and documented*.
CC8Y)  Data collected byi Contractor Environmental Research and
    Technology, Inc. CERT)
CABY)  Data analysed bys  state agency Maine Department of Environmental
    Protection
    EPA lab Environmental Sciences Research Lab-Research triangle
    Park, HC
    Contractor Environmental Research and Technology, Inc« CERT)    and
    Computer Sciences Corporation (CSC)
    Washington University
CIDL)  Laboratory identifications HO
(PR2)  Secondary purpose  of data collections Anticipatory/research
(ACT)  Authorization for  data collections No statutory requirements
    Data collection requirement is    to support Agency research efforts
(OMB)  Data collected/submit ted using OMB- approved EPA reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base: Printouts on
    request
    Machine-readable ran  data
C8US)  Number of regular  users of data base: 50
CUSR)  Current regular users of data base:  EPA laboratories
    states
    university research
(CNF)  Confidentiality of data and limits on access: Limits on outside
    access for all data                       .  .       -
CDLC)  primary physical location of data: ffCC/GHIVAC
COST)  Form of data storage: Magnetic tape
CDAC)  Type of data access: EPA software   HIDS:6402600909 ;through
    connection of HCC system and contractor  software
CCHG)  Direct charge for  non-EPA use: yes
COPDT)  Frequency of data base master file up-date; Other as data is
    made available by Environmental Research and     Technology, Inc.
    (ERT)
CRDB)  Non-EPA data bases used in conjunction with this data base* Elect
    ric Power Research Institute  (£PRI)/Sulfur Regional Experiment
    {SURE), Environmental     Research and Technology, Inc. CERT)
(CMP)  Completion of form:
    Nevin Fouts
    OFC: Computer Data Systems, Inc.
    ADi MD-47, Research Triangle Park, HC 27711
    PH: C919) 541-3552
CDF)  Date of fora completion: 01-28*83
CNMAT)  Number of substances represented in data base: 14
CNCAS)  Number of CAS registry numbers in data base: 8
                             583

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                             Accession Ho.  6402000109     (cent)

(HAT)  Substances represented In data base:
    anmonia<7664-41-7>                   nitrogen dioxide
    ammonium                             nitrogen oxides
    ammonium hydroxide<1336~21-6>        nitrogen peroxide<10102-44-0>
    chlorine<7782-50-5>                  ozone
    hydrocarbons                         sulfur dioxide<7446~09-5>
    nitrate<14797<-55-8>                  sulfuric acid<7664-93-9>
    nitrates/nitrites                    total suspended particulates
(CAS)  CAS registry numbers of substances included in data base: 7664-41
    -7; 1336-21-6; 7782-50-5; 14797*55-8;       10102-44-0;10l02-44-0;
    10028-15-6; 7446-09-5; 7664-93-9
(CNN)  Contact nane(s): tfarren/K. ;    Pouts,!!,  l    Brouning^R.H.
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Environnentai Processes and Effects Rese
                             584

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                             Accession No.   6402000110

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Kane of Data Base of Model: Copper Nickel Study
(ACR)  Acronym of Data Base or Model: CUNI
(MED)  Media/Subject of Data Base or Model:  Air jEnissionS  nine dust
(AfiS)  Abstract/Overview of Data Base or Model: Data uere acquired in
    Northeast Minnesota as a part of the Copper     Nickel Study.  The
    objective was to help establish the environmental  impact of
    developing copper and nickel ore resources in that part of the
    state. Fugitive dust emissions froa dirt roads and a nine were
    measured.
(CTC)  CONTACTS: Subject natter   K,T. Hhitby, University of Minnesota
(DTP)  Type of data collection or monitoring: Anbient data collection
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances represented in  Data Base: 7 criteria NAAQS
(NPP)  Non-pollutant parameters included in the data base: Chemical
    data ;Elevation ^sampling date jslte description ;Temperature j
    Test/analysis method ;Wind direction ;Wind velocity ;Aerosol size
    distributions ;    Aerosol chemical composition by XRF (submlcron
    and total) ;Aerosol sulfur }     Meteorological parameters
CDS)  Tine period covered by data base: 08-00-77
(TRM)  Termination of data collection: Not  applicable
(FRQ)  Frequency of data collection or sampling: Other 1 ueek intensive
    data-continuous measurements
(NOB)  Number of observations in data base:  10000000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: 0,
(INF)  Data base includes: Raw data/observations >Suramary aggregate
    observations
(NTS)  Total number of stations or sources  covered in data base: 1.
(NCS)  No. stations or sources currently originating/contributing data:
    (N/A.)
(NOF)  Number of facilities covered In data base (source monitoring): 1.
(GEO)  Geographic coverage of data base: County/smaller location
    Northeast Minnesota
(LOC)  Data elements Identifying location of station or source include:
    documentation identifies source
(FAC)  Data elements Identifying facility include: documentation
    identifies facility
(CDE)  Pollutant identification data are: Uncoded
(LIM)  Limitation/variation in data of which user should be aware: This
    was a one ueek intensive field study.
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Samplin
    g plan documented ^Collection method documented ;Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? NO
(AUD)  Lab Audit: Lab audit is satisfactory*
(PRE)  Precision: Precision and accuracy estimates exist but are not
    Included in data base
(EOT)  Editting: Edit procedures used and documented.
(CB¥)  Data collected by: Contractor lab University of Minnesota
    Particle Lab
(ABY)  Data analyzed by: Contractor lab University of Minnesota
    Particle Lab


                             585

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                             Accession No.   6402000110     Ccont)

(IDL)  Laboratory identification:  YES
(PR1)  Primary purpose of data collection:  Special study
(AUT)  Authorization for data collection:  Statutory authorization  is to
    study the environaental Impact of developing  copper/nickel ore
    deposits.
COMB)  Data collected/submitted using OMB*approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Unpublished
    reports DATA REPORT/CUNI Project
(NUS)  Number of regular users of  data base: 10-15
(DSR)  Current regular users of data base:  EPA laboratories
    University of Minnesota
    Environmental Sciences Research Lab-Research Triangle Pane/ NC
    Minnesota State
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  primary physical location of data:  Contractor
(DST)  Form of data storage: Original form (hardcopy, readings)
(CHG)  Direct charge for non-EPA use: yesiv
(DPDT)  Frequency of data base oaster file up-date: Other None, project
    complete
(CMP)  Completion of fora:
    Peter H. McMurry
    OFC: Department of Mechanical  Engineering, University of Minnesota
    AD: 111 Church St, SE, Minneapolis, MM 55455
    PH: (612)373-5647
(DP)  Date of fora completion: 02-18-83
(NMAT)  Number of substances represented in data base: 3
(NCAS)  Number of CAS registry numbers in data base: 3
(MAT)  Substances represented in data base:
    nitrogendioxlde<10102-44-0>          sulfur dioxide<7446-09-5>
    ozone<10028-15-6>
(CAS)  CAS registry numbers of substances included in data base: 10102-4
    4~0> 10028-15-6; 7446-09-5
(CNM)  Contact name(s): Whitby,K.T.
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Processes and Effects Rese
                             586

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                             Accession No.   6402000111

(DQ)  Date of Questlonaire: 12-02-82
(NAM)  Name of Data Base of Model:  SHERCO
CACR)  Acronym of Data Base or Model:  SHERCO
(MED)  Media/Subject of Data Base or Model:  Air ;Emissions  coal  fired
    power plant plume
CABS)  Abstract/overview of Data Base or Model: Data iiere acquired
    during a 1 week intensive field project in    Minnesota*  The
    objective was to measure secondary aerosol formation  in a
    relatively clean scrubbed plume from a  coal fired power plant.
    Gaseous     and aerosol parameters were measured.
(CTC)  CONTACTS: Subject matter   K.T. hhitby, University of Minnesota
    "t     Computer-related  N
(DTP)  Type of data collection or monitoring:  Ambient data collection
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances represented in  Data Base: 7 criteria  NAAQS
    ;41 CVA potential criteria
(NPP)  Non-pollutant parameters included in the data base: Chemical
    data /Elevation ;Sampling date ;Site description ;Temperature ;
    Test/analysis method jWind direction jWind velocity ;Aerosol  size
    distributions y    Aerosol chemical composition by IRF Csubmicron
    and total) ;Aerosol sulfur >     Meteorological parameters
(DS)  Time period covered by data base: 06-00-78
(TRH)  Termination of data collection: Occurred 07/30/78
(FRQ)  Frequency of data collection or sampling:  Other  Data obtained
    during 1 week intensive study-data taken only during plume
    touchdown
(NOB)  Number of observations in data base:  10000000.(Estimated)
(NET)  Estimated annual increase of observations in data base. (N/A.)
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources  covered in data base:  1.
(NCS)  No. stations or sources currently originating/contributing data:
    (N/A.)
(NOF)  Number of facilities covered in data base (source monitoring): 1.
(GEQ)  Geographic coverage of data base: County/smaller location  Area
    northwest of Minneapolis, Minnesota
(LOC)  Data elements identifying location of station or source include:
    documentation identifies source
(FAC)  Data elements identifying facility includes documentation
    identifies facility
(CDE)  Pollutant identification data are: Oncoded
(LiM)  Limitation/variation in data of which user should be aware: This
    was a one week intensive field study with data acquired    during
    plume touchdown only.
(DPR)  Data collect./anal, procedures conform to ORD guidelines:  Samplln
    g plan documented ^Collection method documented ^Analysis method
    document QA procedures documented
(ANC.)  Lab analysis based on EPA-approved or accepted methods? NO
(AUD)  Lab Audit: Lab audit is satisfactory
(PRE)  Precision: Precision and accuracy estimates exist but are  not
    included in data base
(EDT)  Editting: Edit procedures used and documented.


                             587

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                             Accession No.  6402000111     (cent)

          sulfur dioxide<7446-09-5>
    ozone<10028-15-6>                    sulfates
(CAS)  CAS registry numbers of substances included in data base: 10102-4
    4-0; 10028-15-6; 7446-09-5
(CNM)  Contact name(s): Mhitby,K.T.    ;    Valentine,*].
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Processes and Effects Rese
                             588

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                             Accession No.   6402000112

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  STATE -  July August  1978
(ACR)  Acronym of Data Base  or Model:  STATE
(MED)  Media/Subject of Data Base or Models Air ^Emissions   coal  fired
    power plant plune
(ABS)  Abstract/Overview of  Data Base  or Model: Data were acquired  for
    a 3 week period in July  and August of 1978     in the Cumberland
    Power Plant near Clarksville, TN.   Measurements Here made     with
    a mobile laboratory, and included  gas and aerosol measurements
    inside and outside the plune.
(CTC)  CONTACTS: Subject matter   Peter H.  McMurry, University  of
    Minnesota ;     Computer-relat
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances  represented in  Data Base: 7 criteria  NAAQS
    741 CVA potential criteria
(HPP)  Ron-pollutant parameters included in the data base: Chemical
    data ^Elevation ; Samp ling date ;Site description ;Temperature j
    Test/analysis method ;Hind direction ;Hind velocity ?Aerosol  size
    distributions ;    Aerosol chemical composition by  XRF (submlcron
    and total) ;Aerosol sulfur ;    Meteorological parameters
(DS)  Time period covered by data base: 07-01-78 TO 08-30-78
(TRM)  Termination of data collection: Occurred 08/30/78
(FRQ)  Frequency of data collection or sampling: Other  only  make
    measurements while plume impacts on ground (10am-5pn)
(NOB)  Number of observations in data  base: 10000000.(Estimated)
(NEI)  Estimated annual increase of observations in data base:  (N/A.)
(IMF)  Data base includes: Raw data/observations ^Summary aggregate
    observations
(NTS)  Total number of stations or sources  covered in data base:  1.
(NCS)  No. stations or sources currently originating/contributing data:
    (N/A.)
(NQF)  Number of facilities  covered in data base (source monitoring): 1.
(GEO)  Geographic coverage of data base: County/smaller location
    Clarksville/ Tennessee
(LOC)  Data elements identifying location of station or source  Include:
    documentation identifies location
(FAC)  Data elements identifying facility Include: documentation
    identifies facility
(CDE)  Pollutant identification data are: Uncoded
(LIM)  Limitation/variation  in data of which user should be  aware:  Other
    sampling platforms (e.g. aircraft) participated in    study as  well.
(DPR)  Data collect./anal. procedures  conform to ORD guidelines:  Sampliri
    g plan documented ^Collection method documented ;Analysis  method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods?  NO
(AOD)  Lab Audit: Lab audit  is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but are  not
    included In data base
(EOT)  Edltting: Edit procedures used  and documented.
(CBY)  Data collected by: Contractor lab University of  Minnesota
    Particle Lab


                             589

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                             Accession No.   6402000112     (cont)

(ABY)  Data analyzed by: Contractor lab University of Minnesota
    Particle Lab
CIOL)  Laboratory identification:  YES
(PR1)  Primary purpose of data collections  Development of regulations
    or standards
(AUT)  Authorization for data collection:  Statutory authorization  is to
    link emissions to effects
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Unpublished
    reports OHML State Data
(NUS)  Number of regular users of data base: 10-15
(USR)  Current regular users of data base:  EPA laboratories
    University of Minnesota
    Environmental Sciences Research Lab-Research triangle Park, HC
(CNF)  Confidentiality of data and limits on access: So limits on
    access to data
(DLC)  Primary physical location of data:  Contractor
(DST)  Form of data storage: Magnetic tape
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file  up-dates Other None, project
    complete
(RSS)  Related EPA automated systems ahich  use data base: Washington
    University Data bank from state 06402000178
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    Washington University Data bank from STATE   D6402000178
(CMP)  Completion of form:
    Peter H. McMurry
    QFC: Department of Mechanical Engineering, University of Minnesota
    AD: 111 Church St, SE, Minneapolis MN 55455
    PH: (612)373-5647
(DF)  Date of form completion: 02-18-83
(NMAT)  Number of substances represented in data base: 4
(NCAS)  Number of CAS registry numbers in data base: 3
(HAT)  Substances represented in data base:
    nitrogendioxide<10l02-44-0>          sulfur dloxide<7446-09-5>
    ozone<10028-15-6>                    sulfates
(CAS)  CAS registry numbers of substances included in data base: 10102-4
    4-0; 10028-15-6; 7446-09-5
(CUM)  Contact name(s): NcMurry,P«H.   ;    Valentine,H.
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects Rese
                             590

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                             Accession No.   6402000113

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Kane of Data Base of Model:  SCRUB -  August 1978
(ACR)  Acronym of Data Base or Model:  SCRUB
(MED)  Media/Subject of Data Base or Model: Air ;Emissions   coal  fired
    pouer plant plume
(ABS)  Abstract/Overview of Data Base  or Model: Data uere acquired  for
    a 2 Meek Intensive study period in the     Widow's Creek Power Plant
    plume.  Data uere acquired in plumes/ which were both scrubbed  and
    unscrubbed for sulfur dioxide*   Gaseous and    particulate  data
    uere acquired.
(CTC)  CONTACTS: Subject natter   Peter H.  McMurry, University  of
    Minnesota ;     Computer-relat
(DTP)  Type of data collection or monitoring:  Ambient data  collection
(STA)  Data Base status:  Discontinued
(GRP)  Groups of substances represented in  Data Base: 7 criteria  MAAQS
    ;41 CWA potential criteria
(NPP)  Non-pollutant parameters included in the data base:  Chemical
    data ^Elevation /Sampling date  ;site description ;Temperature ;
    Test/analysis method jWind direction ;Wind velocity ;Aerosol  size
    distribution ?     Aerosol chemical composition by  XRF  (subraicron
    and total) ;Heteorological parameters
(DS)  Time period covered by data base: 08-00-78
(TRM)  Termination of data collection: Not  applicable
(FRQ)  Frequency of data collection or sampling: Other  data acquired
    only during plume touchdown
(NOB)  Number of observations in data  base: 10000000.(Estimated)
(NED  Estimated annual increase of observations in data base:  (N/A.)
(INF)  Data base includes: Rau data/observations ; Summary aggregate
    observations
(NTS)  Total number of stations or  sources  covered in data  base:  1.
(NCS)  No. stations or sources currently originating/contributing data:
    (N/A.)
(NOF)  Number of facilities covered in data base (source monitoring): 1.
(GEO)  Geographic coverage of data  base: County/smaller location  Hidous
    Creek Pouer Plant, Alabama
(LOC)  Data elements identifying location of station or source  include:
    documentation identifies source
(FAC)  Data elements identifying facility include:  documentation
    identifies facility
(CDE)  Pollutant identification data are: Uncoded
(LIM)  Limitation/variation in data of which user should be aware:  This
    was a two week intensive field study.
(DPR)  Data collect,/anal, procedures  conform to ORD guidelines:  Samplin
    g plan documented ^Collection method documented ^Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods?  NO
(AUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but are  not
    Included in data base
(EOT)  Editting: Edit procedures used  and documented.
(CBY)  Data collected by: Contractor lab University of  Minnesota
    Particle Lab


                             591

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                             Accession No.   6402000113     (cont)

(ABY)  Data analyzed by: Contractor lab University of Minnesota
    Particle Lab
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Special study
(AUT)  Authorization for data collection: Statutory authorization  is to
    study sulfate formation in scrubbed and  unscrubbed plumes
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Unpublished
    reports DATA REPORT: Scrub Data
(NUS)  Number of regular users of data base: 10-15
(USR)  Current regular users of data base:  EPA laboratories
    University of Minnesota
    Environmental Sciences Research Lab-Research Triangle Park, NC
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: Contractor
(DST)  Form of data storage: Magnetic tape
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Other project
    completed
(RDBEPA)  Related EPA data bases used in conjunction ulth this data base
    Meteorology Research Institute (MRI) Aircraft Data
(RDB)  Non-EPA data bases used in conjunction ulth this data base: Tenne
    ssee Valley Authority (TVA) Source Data;     Tennessee Valley
    Authority (TVA) Helicopter Data
(CMP)  Completion of form:
    Peter H, McMurry
    OFC: Department of Mechanical Engineering, University of Minnesota
    AD: 111 Church St, S£, Minneapolis, MM 55455
    PH: (612)373-5641
(OF)  Date of form completion: 02-18-83
(NMAT)  Number of substances represented in data base: 4
(NCAS)  Number of CAS registry numbers in data base: 3
(MAT)  Substances represented in data base;
    nitrogendloxide<10102-44-0>          sulfur dioxide<7446-09-5>
    ozone<10028-15-6>                    sulfates
(CAS)  CAS registry numbers of substances included in data base: 10102-4
    4-0} 10028-15-6 J 7446-09-5
(CNM)  Contact name(s): McHurry/P.H.   ;    Valentine,N.
(ROR)  Responsible Organization: Office of Research and
    Development*Office of Environmental Processes and Effects Rese
                             592

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                             Accession No.   6402000114

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  INCOS
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model:  Other mass spectra data
(ABS)  Abstract/Over view of  Data Base  or Model:  National Bureau of
    Standards (NBS) nass spectral data base  used as
    reference/Identifying  information for various systems and
    research.  The     INCOS data base contains  mass spectra for about
    29,000 chemical compounds uhich are a subset of   the nass spectra
    found in the nass spectra portion      of the Chemical Information
    System (CIS).
(CTC)  CONTACTS: Subject matter   Stephen fi. Malburn  (919) 541-4689
    ;     Computer-related  S
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Operational/ongoing
(NPP)  Non-pollutant parameters included in  the  data base: mass spectra
    of about 29,000 chemical compounds
(OS)  Time period covered by data base: 01 r-01-30 TO 12-30-77
(TRM)  Termination of data collection: Occurred  12/30/77
(FRQ)  Frequency of data collection or sampling: as needed
(NOB)  Number of observations in data  base:  29000.(Estimated)
(INF)  Data base includes: Reference data/citations
(NTS)  Total number of stations or sources covered in data base: (N/A.)
(NCS)  No. stations or sources currently originating/contributing data:
    (N/A.)
(NOF3  Number of facilities  covered in data  base (source monitoring): (N
    /A.)
(LOG)  Data elements identifying location of station or source include:
    N/A
(FAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant identification data are: Other  coding scheme
(LIM)  Limitation/variation in data of uhich user should be aware:  Usefu
    1 only in mass spectrometry and matching     of compounds.  Data
    quality assurance information not   applicable since data is
    accepted from the National    Bureau of  Standards.
(CBY)  Data collected by: Other federal agency National Bureau of
    Standards
(ABY)  Data analyzed by: N/A
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection: identification of organic
    compounds
(AUT)  Authorization for data collection: No statutory requirement:
    Data collection requirement is    need  to identify unknown chemical
    compounds found in laboratory.
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of  data base: Publications
    EPA/National Institutes of Health Mass Spectral Data     Base
    Volumes 1-4.
    On-line computer
(NUS)  Number of regular users of data base; 1 office
(USR)  Current regular users of data base: EPA laboratories


                             593

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                             Accession No.   6402000114     (cent)

    INCGS data system and data base used by unknown number  of other EPA
    offices; each has own system*
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: EPA lab
(DST)  Forra of data storage:  Magnetic disc ^Original form (hardcopy,
    readings)
(DAC)  type of data access: Commercial software INCOS System
    ;MIDS:6402600914 ;EPA hardware Nova 3
(CHG)  Direct charge for non-SPA use: no outside use/access permitted
(UPDT)  Frequency of data base master file up-date! Other data base has
    not been updated in about 2 years
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    Chemical Information System (CIS)  D 2209 0009 05
(CMP)  Completion of form:
    Stephen G, Walburn
    OFC: EPA/(QRD)/
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                             Accession No.   6402000115

(DQ)  Date of Questionnaire: 12-02-82
(NAM)  Name of Data Base of Model:  Bureau of Mines
    Aerosol chemical composition by XRF (submicron
    and total) ;Aerosol sulfur ;     Meteorological parameters
(DS)  Time period covered by data base: 08-00-79
(TRM)  Termination of data collection: Not applicable
(FRQ)  Frequency of data collection or sampling: Other daily during 2
    week intensive field study
(NOB)  Number of observations in data base: 10000000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: (N/A.)
(INF)  Database includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources covered in data base: 1*
(NCS)  No* stations or sources currently originating/contributing data:
    1-
(NOF)  Number of facilities covered in data base (source monitoring): 1.
(GEO)  Geographic coverage of data base: County/smaller location Craig,
    Colorado
(LOC)  Data elements identifying location of station or source include:
    documentation Identifies location
(FAC)  Data elements Identifying facility include: documentation
    Identifies facility
(CDE)  Pollutant identification data are: Uncoded
(LIM)  Limitation/variation in data of which user should be aware: This
    was a two week intensive field study.
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Sampltn
    g plan documented Collection method documented ;Analysis method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but are not
    included in data base
(EOT)  Editting: Edit procedures used and documented.
(CBY)  Data collected by: Contractor lab University of Minnesota
    Particle Lab
(ABY)  Data analyzed by: Contractor lab University of Minnesota


                             595

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                             Accession No.   6402000115     (cont)

    Particle Lab
(IDL)  Laboratory Identification:  YES
(PRJ)  Primary purpose of data collection;  Special study
(AOT)  Authorization for data collections  Statutory authorization  is to
    determine importance of fugitive dust     emissions from nines
(OM8)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Unpublished
    reports DATA REPORT:UHML Mines Project  1978
    Machine-readable ray data
(NOS)  Number of regular users of  data base: 10-15
          sulfur dioxide<7446-09-5>
    ozone<10028-15-6>
(CAS)  CAS registry numbers of substances included in data base: 10102-4
    4-0? 10028-15-6? 7446-09-5
(CNM)  Contact name(s): Marple/V.  ;    Valentine,N.
(RQR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects Rese
                             596

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                             Accession No.   6402000116

(DQ)  Date of Questiouaire:  12-02-82
(NAM)  Mane of Data Base of  Model:  PEPE/NEROS-OMML Data
(ACR)  Acronym of Data Base  or Model:  PEPENEROS
(NED)  Media/Subject of Data Base or Model:  Air
CABS)  Abstract/Overview of  Data Base  or Model: Data Here acquired  for
    a 5 week period during July and August,
    1980.  Most data were obtained at  a fixed site about 25 miles
    northeast
    of Columbus, Ohio, although some urban plume data Here also
    obtained. Measurements Here made continuously, 24 hours per day/
    and included gas    and  aerosol data.
(CTC)  CONTACTS: Subject matter   Peter H- McMurry, University of
    Minnesota ;     Computer-relat
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status! Discontinued
(GRP)  Groups of substances  represented In Data Base: 41 CMA potential
    criteria
(NPP)  Non-pollutant parameters included in  the data base: Chemical
    data ;Elevation ^Sampling date ;Site description /Temperature J
    Test/analysis method ;Wind direction ;Mind velocity ^Aerosol size
    distributions >    Aerosol chemical composition by XRF (subralcron
    and total) ;Aerosol sulfur }    Meteorological parameters
(DS)  Tine period covered by data base; 07-01-80 TO 08-30-80
(fRM)  Termination of data collection: Occurred 08/30/80
(FRQ)  Frequency of data collection or sampling: Other 24 hours per
    d ay-continuous
(NOB)  Number of observations in data  base:  106.(Estimated)
(NED  Estimated annual increase of observations in data base: (N/A.)
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources covered in data base: 1.
(NCS)  No. stations or sources currently originating/contributing data:
    1.
(MOP)  Number of facilities covered In data  base (source monitoring): CN
    /A.)
(GEO)  Geographic coverage of data base: National
(LOG)  Data elements Identifying location of station or source include;
    documentation Identifies source
(FAC)  Data elements identifying facility include: documentation
    identifies facility
(CDE)  Pollutant Identification data are:  Uncoded
(LIM)  Limitation/variation in data of which user should be aware:  The
    data collection Has a 5 neek, intensive, 24 hours per day
    sampling.
(DPR)  Data collect./anal, procedures  conform to ORD guidelines: ORD
    Guidelines
(AND  Lab analysis based on EPA-approved or accepted methods? NO
(AUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but are not
    included In data base
(EOT)  Edittlng: Edit procedures used  and documented.
(CBY)  Data collected by: Contractor lab University of Minnesota


                             597

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                             Accession Ho.   6402000116      (coat)

    Particle Lab
(ABY)  Data analyzed by;  Contractor lab University of Minnesota
    Particle Lab
(IDL)  Laboratory identification:  YES
(PR1)  Primary purpose of data collection:  Development  of regulations
    or standards
(AUT)  Authorization for  data collection:  Statutory authorization  Is  to
    determine mechanisms  of haze formation  in     Eastern U.S.
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(RSP)  Form of available  reports and outputs of data base:  Unpublished
    reports not available yet
(NUS)  Number of regular  users of data base: 10-15
(USR)  Current regular users of data base:  EPA laboratories
    University of Minnesota
    environmental Sciences Research Lab-Research triangle Park, NC
(CNF)  Confidentiality of data and limits on access: No limits  on
    access to data
(DLC)  Primary physical location of data:  Contractor
CDS?)  Form of data storage: Magnetic tape
(DAC)  Type of data access: University of Minnesota software
(CHG)  Direct charge for  non-EPA use: yes

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                             Accession No.   6402000117

(DQ)  Date of Questlonaire:  12-02-82
(NAM)  Name of Data Base of  Model:  1971 Denver Study
(ACR)  Acronym of Data Base  or Model:  DENVER
(MED)  Media/Subject of Data Base or Model:  Air
(ABS)  Abstract/Over view of  Data Base  or Model: Data were acquired
    during October and November of  1971 In  the    Denver/ Colorado  Area
    in order to characterize aerosol size distributions*  Data Mere
    acquired at all hours during this  one month intensive field study.
(CTC)  CONTACTS:  Subject natter   K.T. Uhitby, University of  Minnesota
(DTP)  Type of data collection or monitoring:  Ambient data collection
(STA)  Data Base  status: Discontinued
(NPP)  Non-pollutant parameters included in the databases Chemical
    data ;Elevatlon jSampling date  >Site description }Temperature j
    Test/analysis method >tfind direction ;Hind velocity ;Aerosol site
    distributions /    Aerosol concentrations

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                             Accession No.  6402000117     (cont)

(OMB)  Data collected/submitted using OMB-approved EPA reporting fornsi
    QQ
(REP)  Fora of available reports and outputs of data base: Unpublished
    reports data report-Aerosol Heasureaent in Denver, CO     (1971)
CNUS)  Number of regular users of data base: 10-15

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                             Accession No.   6402000118

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model:  EPA Ohio River Valley Study
(ACR)  Acronyio of Data Base or Model: QRVS
(HED)  Media/Subject of Data Base or Model: Air
(ABS)  Abstract/Overview of Data Base or Model: This data base yill
    contain hourly averages  from three stations for levels of ozone,
    nitric oxide, nitrogen dioxide, nitrous oxides, total sulfur, wind
    speed and direction, temperature, barometric pressure, and relative
    humidity.  There will be less frequent     data for precipitation
    and aerosol information.  The   data base will also contain data on
    peroxyacetyl  nitrate (PAN) and nitric  acid,
(CTC)  CONTACTS: Subject matter   R.K. Stevens  (919) 541-3156;
    Computer-related  Ton Royal  (919) 493-4502  >  EPA Office
    Environmental Sciences Research Laboratory (919)
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Discontinued
(DPO)  Projected operational date of Data Base: 02-00-81
(NPP)  Non-pollutant parameters Included in the data base: Precipitation
    ;Sampling date ^Temperature ;Hlnd direction ;Mind velocity >
    Relative humidity ;Solar radiation
(DS)  Time period covered by data base: 05-01-80 TO 10-30-80
(TRM)  Termination of data collection: Anticipated 08-31-81
(FRQ)  Frequency of data collection or sampling: hourly jas needed
(NOB)  Number of observations in data base: 0.(Actual)
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources  covered in data base: 3.
(NCS)  No. stations or sources currently originating/contributing data!
    3.
(NQF)  Number of facilities covered in data base (source monitoring): 3.
(GEO)  Geographic coverage of data base: Geographic region Ohio River
    valley
(LOC)  Data elements identifying location of station or source Include:
    Station Identifier
(FAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant identification data are: Uncoded
(LIM)  Limitation/variation in data of which user should be aware: None
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Samplin
    g plan documented ^Collection method documented ;Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(ADD)  Lab Audit: Lab audit is satisfactory for 67.
(PRE)  Precision: Precision and accuracy estimates partially exist for
    for about two-thirds   of the data
(EOT)  Editting: No known edit procedures exist.
(C8¥)  Data collected by: Contractor Mead Technology, RTP, NC
(AB¥)  Data analyzed by: Contractor Mead Technology, RTP/ NC
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Trend assessment
(PR2)  Secondary purpose of data collection: Special study
(AUT)  Authorization for data collection: No statutory requirement:
    Data collection requirement is    to provide data for models of the


                             601

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                             Accession No.   6402009118     (cont)

    distribution and deposition of atnospherlc materials from
    coal-fired power plants and determine if there  has been any
    long-term degradation of air quality
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    Q«
(REP)  Form of available reports and outputs of data base: Machlne-reada
    ble ran data
(NO'S)  Number of regular users of data base: 20-50
(USR)  Current regular users of data base:  EPA laboratories
(CNF)  Confidentiality of data and Units on access: No limits on
    access to data
(DLC)  Prinary physical location of data: Contractor
(DSI)  Form of data storage: Magnetici. tape
(DAC)  Type of data access: through contractor and in form of reports
(CH6)  Direct charge for non-EPA use: there may be a charge to cover
    system costs,
(UPDT)  Frequency of data base master file up-date: Monthly
(RSS)  Related EPA automated systems nhich use data base: Nitrate/ fine
    particulate-visibility,   acid rain, chemical mass balance,
    deposition, and air  quality models
(RD8EPA)  Related EPA data bases used In conjunction with this data base
    the meteorological data bases available in EPA
(CMP)  Completion of fora:
    Richard Paur
    OFC: EPA/Environmental Sciences Research Laboratory
    AD: RTP, NC 27711
    PH: (919) 541-3131
(DF)  Date of form completion: 02-24-83
(NMAT)  Number of substances represented in data base: 8
(NCAS)  Number of CAS registry numbers in data base: 4
(MAT)  Substances represented in data base:
    aerosols                             peroxyacetyl nitrate (PAN)
    nitric acid<7697-?37-2>               nitrogen oxides
    nitric oxide<10102-43-9>             ozone<10028-15-6>
    nitrogen dioxlde<10102-44-0>         sulfu
(CAS)  CAS registry numbers of substances included in data base: 7697-37
    -2; 10102-43-9; 10102-44-0;       10028-15-6
(CNM)  Contact name(s): Shau,R.   ;    Royal,T.
(COR)  Contact organization: Environmental Sciences Research Laboratory
(ROR)  Responsible Organization: Office of Research and
    Development*Offlee of Environmental Processes and Effects Rese
                             602

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                             Accession No.   6402000119

(DQ)  Date of Questionalres  12-02-82
(NAM)  Name of Data Base of  Model:  Complex  Terrain Data Base
(ACR)  Acronym of Data Base  or Model: CTH
(MED)  Media/Subject of Data Base or Model: Air
(ABS)  Abstract/Overview of  Data Base or Models Stable plume Imp act ion
    In complex terrain    being studied by  aeans of tracers
    (SF<6>FREON), and oil fog plumes emitted from artificial sources.
    Nephelometer  and tracer measurements made in plume and at 100
    locations on surface of  100 kilometer wide Cinder Cone Butte,
    Idaho.  This data is to  be used for  model development.
(CTC)  COST ACT Si Subject matter   Francis Schierroeier  (919) 541>4551
    ;     Computer-related  F
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Operational/Ongoing
(DPO)  Projected operational date of Data Base: 09-00-80
(NPP)  Non-pollutant parameters included in the data base: Chemical
    data jCollection method  ^Concentration  measures ^Elevation ;  Flow
    rates ^Location ^Physical data ^Sampling date jSite description >
    Temperature ^Test/analysis method ;Volume/mass measures ;Wind
    direction ;  Kind velocity ^Visibility  >Solar radiation ^Vertical
    temperature gradients }     Mixing heights j Pilot Balloon Mind
    Profiles ; Tethersonde Temp. Profiles ;      Kinlsorde Temp.
    profiles:
(DS)  Time period covered by data base: 09-01-80 TO 11-30-80
(TRM)  Termination of data collection: Anticipated 11/30/60
(FRQ)  Frequency of data collection or sampling: less than hourly
    Ten-minute tracer samples ;hourly
(NOB)  Number of observations in data base: 0.(Actual)
(NEI)  Estimated annual Increase of observations in data base: 2000000*
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources  covered in data base: 0.
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(NOT)  Number of facilities  covered in data base (source monitoring):  0«
(GEQ)  Geographic coverage of data base: County/smaller location Cinder
    Cone Butte/ Idaho
(LOC)  Data elements identifying location of station or source include:
    State ;Project identifier ;Local grid system
(LIM)  Limitation/variation In data of which user should be aware:  Data
    from one 15-day and one  30-day     experimental study on Cinder
    Cone Butte, ID.  Limited  to SF6, FREON tracers and assorted
    meteorological measurements   on one Kilometer wide butte* 2
    Adjacent Pibal/ Tethersonde, Minlsorde  release sites.
(DPR)  Data collect./anal, procedures conform to ORD guidelines: ORD
    Guidelines
(ANL)  Lab analysis based on EPA-approved or accepted methods? NO
(AOD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision and accuracy estimates exist but are not
    Included in data base
(EDT)  Edittlng: Edit procedures used but undocumented.
(CBY)  Data collected by: Contractor Environmental Research and


                             603

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                             Accession No.   6402000119     (coot)

    Technology ;other federal agency National  Administration Nave
    Propagation Laboratory
(ABY)  Data analyzed by:  Contractor Environmental Research and
    Technology
    Other federal agency national Oceanic and Atmospheric
    Adninistratlon Wave Propagation Laboratory
(IDL)  Laboratory identification: NO
(AUT)  Authorization for data collection: Statutory authorization  is P
    L 88-206, Title III, Section 310 (Clean Air    Act-CAA)
COMB)  Data collected/submitted using OMB-approved EPA reporting foras:
    Q<3
(REP)  Form of available reports and outputs of data base: Publications
    Yearly publications in journals with submission to  Rational
    Technical Information Service
    printouts on request
    Copies of Data on Tapef   Machine-readable raw data
(NOS)  Number of regular users of data base: 1 office
(USR)  Current regular users of data base:  EPA laboratories
(CNF)  Confidentiality of data and limits on access: No Units on
    access to data
(DLC)  Primary physical location of data: EPA lab
(DST)  Fora of data storage: Magnetic tape
(DAC)  Type of data access: EPA software special programs to be
    developed in March, 1981
(CMC)  Direct charge for non-EPA use: yes
(OPDT)  Frequency of data base master file up-date: Seal-annually
(CMP)  Completion of form:
    Francis Schierneler  (919) 541-4551
    OFC: Environmental Sciences Research Laboratory
    AD: MD-80 RTP, NC 27711
    PHS (919) 541-4551
(DF)  Date of foro completion: 02-25-83
(CNM)  Contact nane(s): Schieroeier,F. ;    Schiermeier,F.
(COR)  Contact organization: Environmental Sciences Research Laboratory
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Processes and Effects Rese
                             604

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                                       No.   6402000120

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Regional Air Pollution Study-Ambient
(ACR)  Acronym of Data Base  or Model:  RAPS
(MED)  Media/Subject of DataBase or Model: Air
(ABS)  Abstract/Overview of  Data Base or Model: National Ambient  Air
    Quality Standards (NAAQS)    pollutants and concurrent
    meteorological variables     measured at 25 ground stations^
    airplane flights, and balloon ascents in the St.  Louis Air  Quality
    Control Region (AQCR) from late 1974 to early 1977.
(CTC)  CONTACTS; .Subject matter   James R«agan  (919) 541-4486     ;
    Computer-related  Joan N
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances  represented in  Data Base: 7 criteria  NAAQS
    ;15 metals
(NPP)  Non-pollutant parameters included in the data base; Chemical
    data ;Co11ection method  jCoacentration  measures ^Elevation  }
    Location ;Physical data  ^Sampling date  ;Site description
    ;Teaperature }    Test/analysis method  ;Hind direction ;Hind
    velocity ;dew point / pressure ;temperature gradient ;(b)scat
    ; inhalable particulates:  fine and coarse ;  particulate elements
    }solar radiation
(DS)  Time period covered by data base: 10-01-74 TO 05-30-77
(TRM)  Termination of data collection: Occurred 05/30/77
(FRQ)  Frequency of data collection or sampling: less than hourly
    continuous }hourly ;daily
(NOB)  Number of observations in data base: 210000000.(Actual)
(NEI)  Estimated annual Increase of observations in data base:  (N/A.)
(INF)  Data base includes: Raw data/observations ^Summary aggregate
    observations
(NTS)  Total number of stations or sources  covered in data base:  40*
(NCS)  Ho. stations or sources currently originating/contributing data:
    0.
(NOF)  Number of facilities  covered in data base (source monitoring): (N
    /A.)
(GEO)  Geographic coverage of data base: Geographic region St.  Louis
    Air Quality Control Region
(LOC)  Data elements identifying location of station or source  include:
    Project identifier
(FAC)  Data elements identifying facility Include: N/A
(CDE)  Pollutant identification data are: Saroad parameter
    Other coding scheme
    Oneoded
(LIM)  Limitation/variation  in data of which user should be aware: ffhen:
    110/75-5/77; Where:  St. Louis Air    Quality Control Region
    (AQCR); What:  National  Ambient Air Quality Standards (NAAQS) plus
    supporting chemical and  meteorological  measurements.  Very
    Intensive measurement     program.
(DPR)  Data collect./anal, procedures conform to ORD guidelines:  Saaplin
    g plan documented /Collection method documented ^Analysis method
    document QA procedures documented
(AMD  Lab analysis based on EPA-approved or accepted methods?  NQ


                             605

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                             Accession No*   640200012G     

(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision and accuracy estimates exist but are not
    included in data base    Edit data still being edited.
(C3Y)  Data collected by; EPA lab Environmental Monitoring  Systems
    Lab-Las Vegas  Environmental Sciences R Contractor Rockwell
    International ^Washington University ^University of Washington
(ABY)  Data analyzed by: EPA lab Environmental Monitoring Systems
    Lab-Las Vegas Environmental Sciences Research  Lab-Research Triangle
    Park
    Contractor Rockwell International
(IDL)  Laboratory identification: YES
(PR!)  Primary purpose of data collection:  Special study
(AUT)  Authorization for data collection: Statutory authorization  is P
    L 86-206 as amended, Section 103 (Clean Air    Act-CAA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    Documentation of the Regional Air Pollution Study   (RAPS) Data
    Base
    Unpublished reports Anomalies in the Regional  Air Pollution study
    (RAPS) Data Base
    Printouts on request
    Microfilm
    Machine-readable raw data
    On-line computer
(NOS)  Number of regular users of data base: 20-25

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                             Accession No.   6402000120     (cent)

CHAT)  Substances represented in data base:
    arsenic<7440-38-2>                   nercury<7439-97-6>
    bariun<7440-39-3>                    nitric acid<7697-37-2>
    cadttiun<7440-43-9>                   nitrogen dioxide<10102-44-0>
    carbon monoxide<630-08-0>            nitrogen oxides
    chroHiiura<7440-47-3>                  ozone<10028-15-6>
    copper<7440-50-8>                    seleniun<7782-49-2>
    hydrocarbons                         sulfur dioxide<7446-09-5>
    hydrogen suitide<7783-06-4>          titanlun<7440-32-6>
    iron<7439-89-6>                      total sulfur
    lead<7439-92-l>                      total suspended particulates
    raanganese<7439-96-5>                 vanadium<7440-62-2>
(CAS)  CAS registry numbers of substances Included in data base: 7440-38
    -2; 7440-39-3? 7440-43-9; 630-08-0;    7440-47-3; 7440-50-8;
    7783-06-4; 7439-89-6; 7439-92-1; 7439-96-S;     7439-97-6;
    7697-37-2; 10102-44-0; 10028-15-6; 7782-49-2; 7446-09-5;
    7440-32-6; 7440-62-2
(CNM)  Contact nane(s): Reagan/J. ;    Novak,J.  }    Branch,A.M.
(ROR)  Responsible Organization: Office of Research and
    Development.Offlee of Environmental Processes and Effects Rese
                             607

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                             Accession Mo.  6402000123

(DQ)  Date of Questionalre: 12-02-82
(NAM)  Name of Data Base of Model: Select Hazardous Chemicals-Ambient
(ACR)  Acronym of Data Base or Model: None
(NED)  Media/Subject of Data Base or Model: Air
(ABS)  Abstract/Overview of Data Base or Model: Ambient air
    measurements of selected trace   gaseous pollutants in ten urban
    locations.   Data includes halomethanes, haloethanes,
    chloroethylenes,   chloroaroraatics, some aromatic hydrocarbons, and
    secondary organics*
(CTC)  CONTACTS: Subject natter   Dr. H.B. Singh  (415) 326-6200  ;
    EPA Office  Dr* Larry Cu
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: operational/ongoing
(NPP)  Son-pollutant parameters included in the data base: Chemical
    data ;Collection method ;Location ;Sampling date }Hind direction ;
    Mind velocity
CDS)  Time period covered by data base: 04-09-79 10 05-02-81
(TRM)  Termination of data collection: 05-02-81
(FRQ)  Frequency of data collection or sampling: Other, at specific
    urban locations, every two hours     for periods of 9 to 11 days*
(NOB)  Number of observations in data base: 100000(Estimated)
(NEI)  Estimated annual increase of observations in data base: 0.
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources covered in data base: 10.
(NCS)  No. stations or sources currently originating/contributing data:
    (N/A)
(NQF)  Number of facilities covered In data base (source monitoring): (N
    /A)
(GEO)  Geographic coverage of data base: County/smaller location Los
    Angeles, CA*, Phoenix, AZ., Oakland CA,    Houston, TX«, St. Louis,
    MO., Denver, CO*, Riverside, CA., Staten Island, NY.,  Pittsburgh,
    PA., Chicago, IL.
(LOC)  Data elements identifying location of station or source Include:
    State jCity ; Town/township
(FAC)  Data elements identifying facility Include: N/A
(CDE)  Pollutant identification data are: Other coding scheme
(LIM)  Limitation/variation in data of which user should be aware:  Data
    is of specific trace gases, over short  periods of time, at a few
    urban city locations.  No EPA     performance evaluations done to
    date.
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Samplln
    g plan documented ^Collection method documented ^Analysis method
    document QA procedures documented
(AMD  Lab analysis based on GPA-approved or accepted methods? NO
(PRE)  Precision: Precision and accuracy estimates exist for all
    measurements
(SOT)  Editting: No known edit procedures exist*
(CBY)  Data collected by: Contractor SRI, International
(AB¥)  Data analyzed by: Contractor SRI, International
(IDL)  Laboratory identification: YES
(PR2)  Secondary purpose of data collection: Anticipatory/research


                             608

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                             Accession No.  6402000123
                  (cont)
(AOT)  Authorization for data collection: No statutory requirement:
    Data collection requirement is    to estimate the amount and the
    fate of toxic and hazardous substances around urban areas.
(OMB)  Data collected/submitted using OMB-approved EPA reporting foras:
    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    EPA-600/3-80-072 Atmospheric Measurements of   Selected Toxic
    Organic Chemicals:  Interim Report-1979
    Unpublished reports Interim Report-1980f    EPA-600/3-83-002
    Measurements of Hazardous Organic Chemicals in the   Ambient
    Atmosphere
(NOS)  Number of regular users of data base: 20
(USR)  Current regular users of data base: EPA headquarter  offices
    Office of Toxic Substances
    Office of Air Quality Planning & Standards!   EPA regional offices
    EPA laboratories
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLc)  Primary physical location of data: Contractor
(DST)  Form of data storage: Original form (hardcopy, readings)
(DAC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base master file up-date: Annually
(CMP)  Completion of form:
    Larry f. Cupitt
    OFC: EPA/(ORD)/(OEPER)/
    l,l,l-trichloroethane<71-55-6>
    1,1,2,2,-tetrachloroethane
       <79-34-5>
    l,l,2-trichloroethane<79-00-5>
    1,1,2-triehioroethene<79-0l-6>
    l,l-dichloroethane<75-34-3>
    If l-dichloroethylene<75-35-4>
    l,2,4,-trichlorobenzene<120-82-l>
    l,2-dibromoethane<106-93-4>
    1,2-dichlorobenzene<95-5Q-l>
    1,2-dichloroethane<107-06-2>
    l,3-dichlorobenzene<541~73-l>
    benzene<71-43-2>
    broBomethane<74-83-9>
    carbon tetrachloride<56-23-5>
    chlorinated ethanes
    chlorobenzene<108-90-7>
    chloroform<67-"66-3>
chloromethane<74-87-3>
cis-l,2-dichloroethylene<156-59-2>
dichloromethane<75-09-2>
ethylbenzene<100-41-4>
formaldehyde<50-00-0>
m-cresol<108-39-4>
methyl chloroforn<71-55-6>
o-xylene<95-47-6>
ozone<10028-15-6>
p-xylene<106»42-3>
perchloroethylene<127-18-4>
phosgene<75-44-5>
tetr achloroethene
tetrachloroethylene<127^18-4>
tetrachloronethane<56-23-5>
toluene<108-88-3>
trichloroethene<79-01-6>
trichloroethylene<79-01^6>
trichlorofluoromethane<75-69-4>
                             609

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                         Accession No.   6402000123
                                                           (cont)
vlnylidene chloride
   <75-35-4>  chlorofluorocarbons
trichlorofluoromethane 
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                             Accession No.   6402000124

(OQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model:  Ozone and its Precursors  Data
    Base-Midwest/FATE of NDX Data Base-Boston
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model:  Air
(ABS)  Abstract/Overview of Data Base or Model: A data base  for ozone
    and its precursors buildup  within a moving high pressure system in
    the mi dues tern United States was obtained.   A second data base  for
    the     fate of nitrous oxide compounds  within an urban  plume
    transported over an ocean body was also  obtained for the   Boston*
    MA area*
(CTC)  CONTACTS: Subject matter   William A. Lonneman  (919) 541-2829
    ;     EPA Office  Joseph
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Discontinued
(NPP)  Non-pollutant parameters included in  the data base: Sampling
    date ;Site description ;Temperature >Uind direction ;    Kind
    velocity
(DS)  Time period covered by data base: 07-01-77 TO 08-05-77 - Midwest
    Study &   08-01-78 TO 08-30-78 - Boston  Plume Study.
(TRM)  Termination of data collection: Occurred 08-05-77 Midwest  ;
    08-30-78-Boston.
(FRQ)  Frequency of data collection or sampling: less than hourly
    aircraft data (instantaneous) ;hourly ;daily
(NOB)  number of observations in data base:  4000.(Estimated)
(INF)  Data base Includes: Raw data/observations ,? Summary aggregate
    observations
(NTS)  Total number of stations or sources covered in data base:  1-Groun
    d Site + Aircraft - Boston  ; 3-Ground Sites     + 2Aircraft  -
    Midwest
(NCS)  No. stations or sources currently originating/contributing data;
    (N/A.)
(NOF)  Number of facilities covered in data  base (source monitoring): (N
    /A.)
(GEO)  Geographic coverage of data base: Geographic region midwest  and
    Boston* MA
(LOG)  Data elements identifying location of station or source include:
    City
(FAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant Identification data are: encoded
(LIM)  Limitation/variation in data of which user should*be  aware:  Limit
    ed meteorological Information is   included in this data base.
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(ADD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision and accuracy estimates are not available
(EDT)  Edltting: No known edit procedures exist.
(CBY)  Data collected by: EPA lab Environmental Sciences Rresearch
    Lab-Research  Triangle Park* NC /  Contractor Battelie-Columbus;
    Washington State University
(ABY)  Data analyzed by: EPA lab Environmental Sciences Research
    Lab-Research Triangle    Park*  NC
    Contractor Battelle-Columbus; Washington State University


                             611

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                             Accession No.   6402000124     (cont)

(IDL)  Laboratory identification: NO
(AUT)  Authorization for data collection:  Ho statutory requirement:
    Data collection requirement is    to support Agency Standard
    development.
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Publications
    none approved
    Unpublished reports (Report for 1977 Midwest Study prepared for
    Final Review   and Clearance) "Nitrogen Oxides Reactions Within
    Urban Plumes Transported  over the Ocean" Project Report Recently
    Cleared for Publication in NTIS    for 1978 Boston Study
(NHS)  Number of regular users of data base: 5 offices
(USR)  Current regular users of data base:  EPA regional offices
    EPA laboratories
    States
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data:  EPA lab
(DST)  Form of data storage: Original fora (hardcopy, readings)
(DAC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Other special
    study, no further updates
(CMP)  Completion of form:
    William A. Lonneaan
    QFC: EPA/(ORD)/(OEPER)/                     hydrocarbons
    carbon monoxide<630-08-0>            nitrates/nitrites
    carbon tetrachloride                 nitric acid<7697-37-2>
       <56-23-5> chlorofluorocarbons     nitric oxide<10102-43-9>
    chloroform<67*66-3>                  nitrogen dioxide<10102-44-0>
    cuBene<98-82-8>                      o-xylene<95-47-6>
    hydrocarbons                         ozone<10028-15-6>
    isbprene<78-79-5>                    p-xylene<106-42-3>
    B-xylene<108-38-3>                   toluene<108-88-3>
    methyl chloroform<71-55-6>           trichloroethene<79-01^6>
    l,l,l-trichloroethane<71-55-6>       xylene<1330-20-7>
    carbon monoxide<630-08-0>
(CAS)  CAS registry numbers of substances included in data base: 71-43-2
    ; 630-08-0; 56-23-Sj 67*66-3; 98-82-8>      78-79-5; 108-38-3;
    71-55-6; 71^55-6; 630-08-0; 7697^37-2;  10102-43-9;      10102-44-0;
    95-47-6; 10028-15-6; 106-42-3; 108-88-3; 79-01^6;    1330-20-7
(CNM)  Contact name(s): Lonneaan/tf.A.  ;    Bufallni/J«J«
(ROR)  Responsible Organization: Office of Research and
    Development.Offlee of Environmental Processes and Effects Rese


                             612

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Accession No.  6402000124     (cont)
613

-------
                             Accession No.   6402000128

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model: FLUX
(ACR)  Acronym of Data Base or Model:  FLUX
(NED)  Media/Subject of Data Base or Model:  Ale ;Soll
CABS)  A bs tract/over vieii of Data Base  or Model: Data base consists of
    subsurface temperature data* net radiation data, and SOBd soil
    moisture data for   three surfaces, soil, concrete, and concrete
    painted   black.  The data site is near  St. Louis and consists of
    hourly summaries over a 15 month period  with purpose   to value
    energy budgets for model evaluation purposes. This program Is part
    of boundary layer studies for the  Regional Air Pollution Study
    (RAPS).  No pollutant     parameters are Included as the data is
    meteorological.
(CTC)  CONTACTS: Subject matter   Jason Ching  (919) 541-4524;
    Computer-related  Jason Ching
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Discontinued
(NPP)  Non-pollutant parameters Included in  the data base:  Site
    description ^Temperature ;net radiation  for energy budget studies ;
    soil moisture for energy budget studies  jsoll temperature for
    energy budget studies
(DS)  Time period covered by data base: 02-01-76 TO 05-30-77
(TRM)  Termination of data collection: Occurred 05/30/77
(FRQ)  Frequency of data collection or sampling: one time only
(NOB)  Number of observations in data  base:  300000 or more.(Estimated)
(NEI)  Estimated annual increase of observations in data base: (N/A.)
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources covered in data base:  3.
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(NQF)  Number of facilities covered in data  base (source monitoring): (N
    /A.)
(GEO)  Geographic coverage of data base: County/smaller location
    deserted airfield near St. Louis,  Missouri
(LOC)  Data elements identifying location of station or source include:
    N/A

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                             Accession No.   6402000128     (cont)

(PR2)  Secondary purpose of data collections Special study
(AUT)  Authorization for data collections  No statutory requirement:
    Data collection requirement is    to support laboratory research
COMB)  Data collected/submitted using QMS-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Publications
    Temporal variation of ground heat flux for soil and concrete using
    net radiation data
(NUS)  Kumber of regular users of data base: 2
(USR)  Current regular users of data bases  EPA laboratories
(CNF)  Confidentiality of data and limits on access: Ho limits on
    access to data

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                             Accession N®.   6402000129

(DQ)  Date of Questionaire:  12-02-82
(RAM)  Name of Data ease of Hodel;  Regional Air Pollution Study-Point
    and Area Source
(ACR)  Acronym of Data Base or Model:  RAPS
(MED)  Media/Subject of Data Base or Model: Emissions  point and area
(ABS)  Abstract/Overflew of Data Base  or Model: Estimated point and
    area emissions for St. Louis  Air   Quality Control Region (AQCR)  70
    during 1975-1976. Calculated hourly and   annual emissions
    available for all periods.
(CTC)  CONTACTS: Subject Batter   Charles Hasser  (919) 541-5285  ;
    Computer-related  Joan N
(DTP)  Type of data collection or monitoring: Combination/Other large
    point source plus area (aggregate,  undifferentiated)
(STA)  Data Base status: Discontinued
(GRP)  croups of substances represented in  Data Base: 5 NESHAPS ?7
    criteria NAAQS ;129 307 CMA >I5 metals
(NPP)  Non-pollutant parameters included in the data base: Elevation
    jFlou rates ^Industry ^Location ?Manufacturer ^Physical data ;
    Population density ;Sampling date  ;heat emissions ipartical size
    breakdown /    total hydrocarbon breakdown into 5 classes:
    non-reactive/ paraffins, olefins,  aromatics, aldehydes.
(DS)  Time period covered by data bases 01-01-75 TO 12-31-76
(TRM)  Termination of data collections Occurred 12/31/76
(FRQ)  Frequency of data collection or samplings hourly ;daily ;weekly
    jmonthly ;annually
(NOB)  Number of observations in data  base: 2QOQQOO«(Estimated)
(NEI)  Estimated annual increase of observations in data base: (N/A«)
(INF)  Data base includes: Ran data/observations ?Summary aggregate
    observations
(NTS)  Total number of stations or sources  covered in data base: 510*
(NCS)  No. stations or sources currently originating/contributing data:
    (N/A.)
(NOF)  Number of facilities covered in data base (source monitoring): 0,
(GEO)  Geographic coverage of data base: Geographic region St. Louis
    Area of Missouri
CLOC)  Data elements identifying location of station or source include:
    State /County ;City;Town/township ^Street address ^Coordinates UTM
(FAC)  Data elements identifying facility include: Plant facility name
    ;plant location ^Parent corp name  ^Street address }     SIC code
    ISCC |National Emissions Data System (NEDS) Identifiers
(CDE)  Pollutant identification data are: Other coding scheme
(LIM)  Limitation/variation in data of which user should be aware: Data
    are estimated emissions for St. Louis Air    Quality Control Region
  '  (AQCR) 70 for 1975 and 1976 only*   Where 1976 data  was missing,
    1975 data was used.
(DPR)  Data collect./anal« procedures  conform to ORD guidelines: Samplln
    g plan documented ^Collection method documented ^Analysis method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods? NO
(ADD)  Lab Audit: Data not based on lab analysis*
(PRE)  Precision: Precision and accuracy estimates exist but are not
    Included in data base


                             616

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                             Accession No.   6402000129     (cont)

(EDT)  Editting: Edit procedures used and documented.
(Cfly.)  Data collected by: Regional office Regions V and VII ;Contractor
    Rockwell International
(ABY)  Data analyzed by: EPA lab Environmental Science Research
    Lab-Research Triangle     Park/ NC
ODD  Laboratory identification: DO
(PR1)  Primary purpose of data collection:  provide data for Air Quality
    model evaluation
(AUT)  Authorization for data collection: Statutory authorization is P
    L 86-206 as amended, Section 103 (Clean Air    Act-CAA)
(OMB)  Data collected/ submit ted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Publications
    Regional Air Pollution Study Point Source Methodolgy     and
    Inventory; Regional Air Pollution Study Emission Inventory
    SuBBtarization
    Unpublished reports Evaluation of Eraission Inventory  Methodologies
    for the Regional Air Pollution Study (RAPS) program
    Printouts on request
    Machine-readable raw data
    microfiche
    machine-readable processed data
(NUS)  Number of regular users of data base: 20-25
(OSR)  Current regular users of data base:  EPA headquarter offices
    Office of Air Quality Planning and Standards
    EPA laboratories
(CNF)  Confidentiality of data and limits on access: Limits on outside
    access for sone data
(DLC)  Primary physical location of data: NCC/ONIVAC
COST)  Fora of data storage: Magnetic disc and tape
(DAC)  Type of data access: Commercial software SYSTEM 2000 ;EPA
    software Regional Air Pollution Study (RAPS Data Handling System
    ;EPA hardware UNIVAC 1100
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file up-date; Other data only for
    1975 and 1976, no further updates
(RSS)  Related EPA automated systems which use data base: Regional Air
    Pollution Study (RAPS)     graphics system; LIRAQ, SAIASP, RAH,
    LPAQSM models
(RD8EPA)  Related EPA data bases used in conjunction with this data base
    National Emissions Data System     (NEDS) Emission Factor File,
    Nation Emissions Data     System (NEDS)
(CMP)  Completion of form:
    Joan H. Novak
    OFC: EPA/(ORD)/(OEPER)/(ESRL-RTP)
    AD: Research Triangle Park NC 27711
    PH: (919) 541-4545
(DF)  Date of form completion: 02-25-83
(NNAT)  Number of substances represented in data base: 28
(NCAS)  Number of CAS registry numbers in data bases 35
                             617

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                             Accession No.   6402000129     (cont)

(NAT)  Substances represented in data base:
    arsenic<7440-38-2>                   mercury<7439-97-6>
    asbestos<1332-21-4>                  molybdenum and compounds
    barluo<7440-39-3>                       <7439-98-7>
    benzo(a)pyrene<50-32-8>              nickel<7440-02-0>
    berylltura<7440-41-7>                 nitrogen oxides
    boron compounds<7440-42-8>           phosphorus<7723-14~0>
    ca                   seleniura<7782-49-2>
    carbon monoxide<630-08-0>            silver<7440-22-4>
    chro«iun<7440-47-3>                  sulfur dioxide<7446-09-5>
    copper<7440-50-8>                    titaniura<7440-32-6>
    hydrocarbons                         total suspended particulates
    lead<7439-92-l>                      vanadlun<7440-62-2>
    magnesium                            zinc<7440-66-6>
    manganese<7439-96-5>
(CAS)  CAS registry numbers of substances included in data base:  7440-38
    -2; 1332-21-4? 7440-39-3; SO-32-8;     7440-41^7; 7440-42r8>
    7440-43-9; 630-08-0; 7440-47-3; 7440-50-8;      7439-92-1;
    7439-96-5; 7439-97-6; 7439-98-7; 7440-02-0; 7723-14-0;
    7782-49-2; 7440-22-4; 7446-09-5; 7440-32-6; 7440-62-2; 7440-66-6
(CNM)  Contact name(s): Masser/C. ;    Novak,,J.
(COR)  Contact organization: Atmospheric Modeling Branch/Environmental
    Sciences
(RQR)  Responsible Organization: Office of Research and
    Oevelopaent.Office of Environmental Processes and Effects Rese
                             618

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                             Accession No.   6402000130

(DQ)  Date of Questionairel  12-02-82
(NAM)  Name of Data Base of  Model:  Remote Measurement of Wind/Plume
    Velocity
(ACR)  Acronym of Data Base  or Model:  LDV
(MED)  Media/Subject of Data Base or Model:  Air ;Emissions   point and
    non-point sources
(ABS)  Abstract/Overview of  Data Base  or Model: As support  for  other
    measurements, a Laser Doppler     Velociraeter  (LDV)  system  will  be
    used to remotely measure   wind or stack plume velocity. The
    velocity data, coupled   with other measurements of  pollutant
    concentrations,   alloy  calculation of pollutant mass emission
    rates.  Pollutant   parameters are not applicable to this data set.
(CTC)  CONTACTS:  Subject matter   Roosevelt  Rollins  (919)  541-3835
    ;     Computer-related  R
(DTP)  Type of data collection or monitoring; Combination/Other
    non-point and point source (stack  emissions) data    collection
(STA)  Data Base  status: Funded for development
(DPO)  Projected  operational date of Data Base: 06-00-81
(NPP)  Non-pollutant parameters included in  the data base:  Hind
    direction ;tfind velocity ;plume velocity
(TRM)  Termination of data collection: Not anticipated
(FRQ)  Frequency  of data collection or sampling: as needed
(NOB)  Number of  observations in data  base:  0.(Actual)
(NEI)  Estimated  annual increase of observations in data base:  6.
(INF)  Data base  Includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources covered in data  base:  0.
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(NOF)  Number of  facilities  covered in data  base (source monitoring): 0.
(GEO)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or  source  include:
    N/A
(FAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant  Identification data are: Uncoded
(LiM)  Limitation/variation in data of uhich user  should be aware: Data
    collection is to begin in June/ 1981.
(DPR)  Data collect./anal, procedures  conform to ORD guidelines:  Analysl
    s method documented
(ANL)  Lab analysis based on CPA-approved or accepted methods?  NO
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision and accuracy estimates exist but are  not
    included in data base
(EDT)  Editting:  No known edit procedures exist.
(CBY)  Data collected by: EPA lab Environmental Sciences Research
    Lab-Research   Triangle Park, NC
(ABY)  Data analyzed by: EPA lab Environmental Sciences  Research
    Lab-Research  Triangle    Park, NC
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection: Technology development
(PR2)  Secondary  purpose of data collection: Special study
(AUT)  Authorization for data collection: Statutory authorization is P


                             619

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                             Accession No.   6402000130     (cont)

    L 88-206 as amended (Clean Air Act-CAA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Maehine-reada
    ble raw data
(NOS)  Number of regular users of data base: 2 offices
(OSR)  Current regular users of data base:  EPA laboratories
    Other federal agencies
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Magnetic tape  ;Magnetic disc
(DAC)  Type of data access: Commercial software under development
(CHG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base master file  up-date: Other as needed
(CMP)  Completion of form:
    William F. Herget
    OFC2 EPAA(ORD)/
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                             Accession No.   6402000131

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Corrosion Damage Data
(ACR)  Acronym of Data Base or Model:  CORDS
(MED)  Media/Subject of Data Base or Model: Air
(ABS)  Abstract/Overview of Data Base or Model: Corrosion damage data
    for samples of galvanized   steel. Heathering steel, aluminum/
    silver, marble,     nylon, and house paints; atmospheric data which
    includes    uind speed and direction, temperature,  den point, total
    sulfur, sulfur dioxide (S0<2»  hydrogen sulfide (H<2>S),    ozone
    (0<3», nitrogen oxides (N0
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                             Accession No.  6402000131     (cont)

    for corrosion damage   data Edit for corrosion damage data.
{CBY)  Data collected by: EPA lab Environmental Sciences Research
    Lab-Research  Triangle Park, NC ;   Contractor Rockwell
    International
(ABY)  Data analyzed by: EPA lab Environmental Sciences Research
    Lab-Research Triangle    Park, NC
    Contractor Rockwell International
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection; Development of regulations
    or standards
(PR2)  Secondary purpose of data collection:  Risk assessment
CAUT)  Authorization for data collection! Statutory authorization Is P
    L 38-206 as amended (Clean Air Act-CAA)
(OMB)  Data collected/submit ted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Publications
    1) Effects of Airborne Sulfur Pollutants on    Materials; 2)
    Evaluation of the Effects of Microclimate Differences   Corrosion;
    3) Theoretical Air Pollution and Climate Effects on Materials
    Confirmed by Zinc Corrosion Data
(NUS)  Number of regular users of data base:  1 office
(USR)  Current regular users of data base: Environmental Sciences
    Research Lab-Research Triangle Park, WC
{CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: EPA lab
COST)  Form of data storage: Original form (hardcopy, readings)
(DAC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base master file up-date: Other data base
    update terminated
(RD8EPA)  Related EPA data bases used in conjunction uith this data base
    Atmospheric data collected under   the Regional Air Monitoring
    System (RAMS)
(CMP)  Completion of form:
    Nancy C. Voder
    OFC: Computer Sciences Corporation
    AD: MD-09, Research Triangle park, NC 27711
    PH: {919} 541-2305
(DF)  Date of form completion: 11-04-80
(NMAT)  Number of substances represented in data base: 9
CNCAS}  Number of CAS registry numbers in data base: 4
(NAT)  Substances represented in data base:
    hydrocarbons                         sulfate
    hydrogen sulfide<7783~06-4>          sulfur dioxide<7446-09-5>
    nitrate<14797^55-8>                  total sulfur
    nitrogen oxides                      total suspended particulates
    ozone<10028-15-6>
(CAS)  CAS registry numbers of substances included in data base: 7783-06
    -4; 14797-55-8? 10028-15-6? 7446-09-5
(CNM)  Contact name(s): Haynie,F.H.    ;    Haynie/F.H.    ;
    Haynie,F.H.


                             622

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                             Accession No.   6402000131      {coat)

(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects Rese
                             623

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                             Accession Mo.   6402000132


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                             Accession Ho.   6402000132     (cent)

(AUT)  Authorization for data collection:  Statutory authorization is  P
    L 95-95, Title III, Section 310 (Clean  Air     AmendementS of 1977)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    Power Plant Stack Plumes in Complex Terrain:  Data  Analysis and
    Characterization of Plume Behavior
    Machine-readable raw data
(NUS)  Number of regular users of data base: 1 office
(USR)  Current regular users of data base:  EPA laboratories
(CNF)  Confidentiality of data and limits  on access: No limits on
    access to data
(DLC)  Primary physical location of data:  NCC/ONIVAC
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: EPA software   MIOS:6402700902  ;Tape
    available in standard format/ readable  by m with user supplied
    software
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file  up-date: Other data base no
    longer updated
(CMP)  Completion of form:
    Joan H. Novak
    OFC: EPA/(ORD)/(OEPER)/(ESRL-RTP)
    AD: KD-30 Research Triangle Park, NC 27711
    PH: (919) 541-4545
(DF)  Date of form completion: 02-25-83
(NMAT)  Number of substances represented in data base: 6
(NCAS)  Number of CAS registry numbers in  data bases 4
(MAT)  Substances represented in data base:
    nitric oxide<10102-43-9>            ozone<10028-15-6>
    nitrogen dioxide<10102-44-0>        sulfate aerosol
    nitrogen oxides                      sulfur dioxide<7446-09-5>
(CAS)  CAS registry numbers of substances  included in data  base: 10102-4
    3-9; 10102-44-0? I0028-15-6J      7446-09-5
(CNM)  Contact name
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                             Accession No.   6402000133

(DQ)  Date of Questionalre: 12-02-82
(NAM)  Name of Data Base of Model: Laboratory Data Management System
    NOTE:  This data base    is currently inoperative and has NOT been
    used in over 2 years.  It is doubtful it til 11 be used again.
(ACR)  Acronym of Data Base or Model:  LDMS
(MED)  Media/Subject of Data Base or Model: Emissions  mobile
    source-automobiles
CABS)  Abstract/Overview of Data Base or Model: The Laboratory Data
    Management System (LDMS) contains regulated automotive exhaust
    emissions as a   function of driving cycle, including total
    hydrocarbons (HC), carbon monoxide (CO), oxides   of nitrogen
    (N0
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                             Accession No*  6402000133     (cent)

    evaluation efforts
(OMB)  Data collected/submitted using QMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Printouts on
    request
    On-line computer
(NDS)  Number of regular users of data base: 6 offices
(USR)  Current regular users of data base: EPA laboratories
    Other federal agencies
    Motor Vehicles Emission Test Lab-Ann Arbor, MI
    EPA contractors
    Department of Transportation
    Department of Energy
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: NCC/UNIVAC
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software Laboratory Data Management
    System (LDMS) ;EPA hardware KCC RTF
(CHG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base master file up-date: Quarterly
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    Vehicle Emission Data Management   Acquisition System (VEDMAS) on
    the Mobile Source Emission   (MSE) data base.
(CMP)  Completion of form:
    James N. Braddock
    OFC: EPA/CORD)/(OEPER)/{ESRL-RTP)
    AD: Research Triangle Park NC, 27711
    PH: (919) 541-3881
(DF)  Date of form completion: 02-09-83
(NMAT)  Number of substances represented in data base: 4
(NCAS)  Number of CAS registry numbers in data base: 2
(MAT)  Substances represented in data base:
    carbon monoxide<630-08-0>            nitrogen dioxide<10102-44-0>
    hydrocarbons                         nitrogen oxides
(CAS)  CAS registry numbers of substances Included in data bases 630-08-
    0; 10102-44-0
(CNM)  Contact narae(s): Braddock,J.N-  ;    Karasek,N.;
    Braddock,J.K.
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Processes and Effects Rese
                             627

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                             Accession No.   6402000134

(DQ)  Date of Questionaite:  12-02-82
(NAN)  Name of Data Base of  Model:  Mobile Source Eraissions
(ACR)  Acronym of Data Base  or Model:  MSE
(MED)  Media/Subject of Data Base or Model:  Emissions  Mobile
    Source-automobiles
(ABS)  Abstract/Overview of  Data Base  or Model:  Regulated automotive
    exhaust emissions as a function   of driving cycle include total
    hyrocarbons (HC), carbon monoxide  (CO),  oxides of nitrogen (N0
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                             Accession No.  6402000134     (cent)

    QQ
(REP)  Form of available reports and outputs of data base:  Printouts on
    request
    On-line computer
(NOS)  Number of regular users of data base: 12
(USR)  Current regular users of data base: EPA laboratories
    Other federal agencies
    Motor Vehicles Emission Test Lab-Ann Arbor/ HZ
    Department of Energy
    Department of Transportation
    EPA contractors
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software VEDMAS (Vehicle Emission Data
    Management  Acquisition System)  MIDS EPA hardware TI960B
(CHG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base toaster file up-date: Meekly
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    Vehicle Emission Data     Management Acquisition System (VEDMAS)
    which is part   of this Mobile Source Emission data base.
(CMP)  Completion of form:
    Janes N. Braddock
    OFC: EPA/(ORD)/(ESRL-RTP)/(OEPER)
    AD: Research Triangle Park, NC 27711
    PH: (919) 541-3881
(DF)  Date of form completion: 02-14-83
(NMAT)  Number of substances represented in data base: 4 (minimum
    number)
(NCAS)  Number of CAS registry numbers in data base: 2
(MAT)  Substances represented in data base:
    carbon monoxide<630-08-0>            nitrogen dioxide<10102-44-0>
    hydrocarbons                         nitrogen oxides
(CAS)  CAS registry numbers of substances included in data base:  630-08-
    0; 10102-44-0
(CNM)  Contact name(s): Braddock,J.N.  ;    Carter,?. ;
    Braddock,J.N.
(RGR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Processes and Effects Rese
                             629

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                             Accession Ho.   6402000135

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  BLTH
(ACR)  Acronym of Data Base  or Model:  BLTH
(MED)  Media/Subject of Data Base or Model:  Air
(ASS)  Abstract/Overview of  Data Base  or Model:  Data base  Includes
    meteorological and   atmospheric turbalance  data collected  from
    instrumented      towers  and aircraft during  the Regional  Air
    Pollution  Study (RAPS)  (St. Louis) and aircraft data  obtained
    in the Tennessee Plume Study (TPS) program (STATE).     No pollutant
    parameters as data is meteorological.
(CTC)  CONTACTS:  Subject matter   Jason Ching  (919) 541-4524;
    Computer-related  John Clarke
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base  status: Operational/ongoing
(NPP)  Non-pollutant parameters included in the  data bases Temperature
    ;Wind direction ;Mind velocity ;rapid response turbulent  wind ;
    Moisture data
(DS)  Time period covered by data base: 04-01-76 TO 08-30-78
(TRM)  Termination of data collection: Occurred  08/30/78
(FRQ)  Frequency  of data collection or sampling: one time  only  ;less
    than hourly one-half second samples
(HOB)  Number of  observations in data  base:  38000000.(Estimated)
(NED  Estimated  annual increase of observations in data base:  (N/A.)
(INF)  Data base  Includes: Raw data/observations ;Summary  aggregate
    observations
(NTS)  Total number of stations or sources  covered in data base:  5.
(NCS)  Ko. stations or sources currently originating/contributing data:
    0.
(SOF)  Number of  facilities  covered in data base (source monitoring): (N
    /A.)
(GEO)  Geographic coverage of data base: Selected federal  region  St.
    Louis/ Missouri and Tennessee
(LOO  Data elements identifying location of station or  source  include:
    Regional Air  Pollution Study/State project identifiers
(LIM)  Limitation/variation  in data of which user should be awaTe: Sampl
    ing period for Tennessee Plume Study (TSP):   August  1976  (aircraft
    only); Regional Air pollution Study  (RAPS) summer  (July/August
    1976) toner data tape and data  file;  one-half second values of
    temperature moisture and wind   turbulance  and hourly averages.
(DPR)  Data collect, /anal, procedures  confer IB to ORD guidelines:  Sanplin
    g plan documented ^Collection method documented ;QA  procedures
    documented
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision  and accuracy estimates exist but  are  not
    included in data base
(EOT)  Edltting:  Edit procedures used  but undocumented.
(CBY)  Data collected by: self reporting ;EPA lab Environmental Science
    Research Lab-Research Triangle     Park* DC  Contractor Rockwell
    International ;0ther federal agency National Oceanic and
    Atmospheric  Administration (NOAA) Boulder,  Colorado ;University of
    Wyoming (National Center for Atmospheric     Research)
(ABV)  Data analyzed by: Self reporting


                             630

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                                                                     X,
                             Accession No.   6402000135     Ccont)

    EPA lab Environmental Sciences Research Lab-Research Triangle
    Park, NC
    Other federal agency National Oceanic and Atmospheric
    Administration (NOAA), Boulder, Colorado
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Anticipatocy$F«searcfe~
(PR2)  Secondary purpose of data collection: Special study
(AUT)  Authorization for data collection: Mo statutory requirements
    Data collection requirement Is    that  the Regional Air Pollution
    Study (RAPS) & Tennessee Plume Study (TPS) contains data that  are
    integral components to experimental designs being   conducted  by
    the Agency*
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Publications
    Variability of Diffusion Coefficient over an Urban  Area;
    Variability of Heat Flux and Mixed Layer Depth over St. Louis,
    Missouri
    Printouts on request

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                             Accession No.   6402000136

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Fluid Modeling Facility
(ACR)  Acronym of Data Base  or Model:  FMF
(MED)  Media/Subject of Data Base or Model:  Air

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                             Accession No.   6402000136      (cont)

(NUS)  Number of regular users of data base:  15
(USR)  Current regular users of data base:  EPA laboratories
    Other federal agencies
    North Carolina State University (NCSU)
    University of Cambridge
(CNF)  Confidentiality of data and limits on access:  No Halts on
    access to data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Magnetic tape  ^Original  form (hardcopy,
    readings)
(DAC)  Type of data access: SPA software RSX-11  MIDS:6402700901 ;EPA
    hardware PDF 11/40
(CHG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base master file  up-date: Monthly
(CMP)  Completion of form:
    William H. Snyder
    OFC: EPA/(ORD)/(OEPER)/(ESRL-RfP)/(FHF)
    AD: Research Triangle Park, NC 27711
    PH: (919) 541-2811
(DF)  Date of form completion: 02-24-83
(CNM)  Contact name(s): Snyder,H.H.    ;    Shlpnan,M.S.   ;
    Snyder/kf.H.
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects Rese
                             633

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                             Accession No.   6402000137

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Houston  Area Oxidant Study

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                             Accession No.   6402000137     (cont)

(AUT)  Authorization for data collection:  Statutory authorization  Is  P
    L 88-206 as amended (Clean Air Act-CAA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    158-R-0012
(REP)  Form of available reports and outputs of data base:  Publications
    Houston Area Oxidant Study (Houston Chamber of Commerce)
(NUS)  Number of regular users of data base: 3 offices
(USR)  Current regular users of data base:  EPA laboratories
    Houston Chamber of Commerce
    private firms
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data:  Contractor
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: User must write own accessing program
(CHG)  Pirect charge for non-EPA use: yes
(UPDT)  Frequency of data base master file  up-date: Other data base
    update terminated
(RDBEPA)  Related EPA data bases used in conjunction uith this data base
    Houston Aerosol Characterization Study   (HACS); Houston Oxidant
    Modeling Study (HOMS) D 6402 0001 03;    Ozone and its Precursers
    Data Base D 6402 0001 24
(CMP)  Completion of form:
    Kenneth L- Schere
    OFC: EPA/(ORD)/(OEPER)/(ESRL-RTP)
    AD: Research Triangle Park, NC
    PH: (919) 541-3795
(DF)  Date of form completion: 11-25-80
(NMAT)  Number of substances represented in data bases 6
(NCAS)  Number of CAS registry numbers in data base: 4
(MAT)  Substances represented in data base:
    carbon aonoxide<630-08-0>            ozone<10028-15-6>
    hydrocarbons                         sulfur dioxide<7446-09-5>
    nitrogen dioxide<10102-44-0>         total suspended particulates
(CAS)  CAS registry numbers of substances included in data base: 630-08-
    0; 10102-44-0; 10028-15-6; 7446-09-5
(CNM)  Contact name(s): Tanahill/G.  ;  Schere/K.
(RQR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects Rese
                             635

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                             Accession No.   6402000138

(DQ)  pate of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model;  Ozone and its Precursors Data
    Base-Northeast
(MED)  Media/Subject of Data Base or Model:  Air
(ABS)  Abstract/Overview of Data Base or Model: A data base for ozone
    and Its precursors transport     into the Northeastern United
    States was obtained during     the period of July and August 1975.
    The data base includes both aircraft and ground level sampling
    programs.
(CTC)  CONTACTS:  Subject matter   Joseph Bufalini  {919)  541-2829  J
    Coaputer-related  Ron Ru
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base  status: Discontinued
(GRP)  Groups of  substances represented in Data Base: 7 criteria NAAQS
(NPP)  Non-pollutant parameters included in the data base: Sampling
    date ;Site description ;Temperature ;Mind direction ;    Hind
    velocity ;ultraviolet sunlight
(DS)  Time period covered by data base: 07-01-75 TO 08-30-75
(TRM)  Termination of data collection: Occurred 08/30/75
(PRO)  Frequency  of data collection or sampling: less than hourly
    aircraft sampling rates less than 5 seconds ;    hourly ;daily
(NOB)  Number of  observations in data base:  10000.(Estimated)
(INF)  Data base  includes: Raw data/observations 7Summary aggregate
    observations
(NTS)  Total number of stations or  sources covered  in data base: 100.
(NCS)  No. stations or sources currently originating/contributing  data:
    (S/A.)
(NQF)  Number of  facilities covered in data base (source  monitoring): (N
    /A.)
(GEQ)  Geographic coverage of data  base: Geographic region Northeastern
    U.S.
(LOC)  Data elements identifying location of station or source include:
    City ;Street  address ;Coordinates UTH and grid
(FAC)  Data elements identifying facility include:  N/A
(CDE)  Pollutant  identification data are: Saroad parameter
(LIM)  Limitation/variation In data of which user should  be aware: Limit
    ed neteorological information included in    data base.  (Much of
    the Ethylane  data from GKPS (or ESRL) ground site     ANALYSIS is
    invalid due to contamination from the Ethylane-Ozone  Chenilumenst
    Analyzer)
(DPR)  Data collect./anal, procedures conform to (3RD guidelines: Samplin
    g plan documented ^Collection method documented ^Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision and accuracy estimates  exist  but are not
    included in data base
(EDT)  Editting:  Edit procedures used and documented.
(CBY)  Data collected by: State agency Massachussetts, Connecticut/  New
    York ;Regional office Region I  ;   EPA lab Environmental Science
    Research Lab-Research Triangle      Park ^Contractor lab EPA Region
    I Laboratory  ^Contractor Washington State University; Battelle-Colu


                             636

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                             Accession No.   6402000138     (cont)

(ABY)  Data analyzed by:  Contractor lab Washington State University;
    Battelle/   Stanford Research Inc.
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Development of regulations
    or standards
(PR2)  Secondary purpose of data collection:  Anticipatory/research
(AUT)  Authorization for data collection: No statutory requirement:
    Data collection requirement is    to support Agency standard
    development
(OMB)  Data collected/submitted using  QMS-approved EPA reporting forms:
    QG
(REP)  Form of available reports and outputs of data base:  Publications
    EPA 600/3-77*055; EPA 600/3-77-017; EPA   600/3-77-044; EPA
    600/3-76-109; EPA 900/9-76-004
    data tape
(NUS)  Number  of regular users of data base:  3 offices
(GSR)  Current regular users of data base:  EPA regional offices
    EPA laboratories
    States
    EPA contractors
(CNF)  confidentiality of data and limits on access: No Units on
    access to  data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Magnetic  tape
(DAC)  Type of data access: copy of data tape available, user must
    supply software
(CHG)  Direct  charge for non-EPA use:  yes
(UPDT)  Frequency of data base master  file up-date: Other special
    study, data base no longer updated
(CMP)  Completion of form:
    William A. Lonneman
    OFC: EPA/(ORD)/(QEPER)/(ESRL-RTP)
    AD: Research Triangle Park/ NC
    PH: (919)  541-2829
(DP)  Date of  form completion: 02-25-83
(NMAT)  Number of substances represented in data base: 19
(NCAS)  Number of CAS registry numbers in data base: 16
(MA?)  Substances represented in data  base:
    benzene<71-43-2>                     l,l,l-trichloroethane<71-55-6>
    carbon raonoxlde<630-08-0>            nltrates/nitrit nitric oxide
    carbon tetrachloride<56-23-5>           <10102-43-9>
    chlorofluorocarbons                  nitrogen dioxide<10102-44-0>
    curaene<98-82-8>                      o-xylene<95-47-6>
    cyclohexane<110-82-7>                oxygen demand
    hydrocarbons                         p-xylene<106~42-3>
    m-xylene<108-38-3>                   toluene<108-88-3>
    nitrogen dioxide<10102-44-0>         trichloroethene<79-01-6>
    ozone<10028-15-6>
(CAS)  CAS registry numbers of substances included in data base: 71-43*2
    ; 630-08-0; 56-23-5; 98-82-8;     110-82-7; 108-38-3; 10102-44-0;
    10028-15-6; 71-55-6; 10102-43-9;      10102-44-0; 95-47-6;
    106-42-3;  108-88-3; 79-01-6


                             637

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                             Accession Ho.   64Q2Q00138      (cont)

(CNM)  Contact nane(s):  Bufalini,J*     /     Ruff,R.   }     Bufalini^J.
(ROR)  Responsible Organization:  Office of  Research  and
    Development.Office of Environmental Processes and Effects Rese
                             638

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                             Accession  Ho.   6402000139

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Ozone and its Precursors Data
    Base-Houston/Los Angeles
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model:  Air
(ABS)  Abstract/Overview of  Data Base  or Model:  A data  base for ozone
    and its precursors transport    into/  and downwind of, Houston,
    Texas was obtained.  A second data  base for  ambient air,  ozone,  and
    nitrogen oxides     Has  obtained in Los Angeles,  California*
(CTC)  CONTACTS: Subject natter   William Lonnenan  (919)  541-2829;
    EPA Office  Joseph J. 8u
(DTP)  Type of data collection or monitoring:  Ambient data collection
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances  represented in  Data  Base: 7 criteria  NAAQS
(NPP)  Non-pollutant parameters included in the  data  base: Sampling
    date ;Site description >Temperature ;Mlnd direction ;     Hind
    velocity
(DS)  Time period covered by data base: Houston  July  1  TO  July 30, 1976
    ; Los Angeles 10-15-76 TO 11-15-76
(TRM)  Termination of data collection:  Occurred 07-30-76 - Houston j
    11-15-76 - Los Angeles
(FRQ)  Frequency of data collection or  sampling: less than hourly
    aircraft data (instantaneous) ;hourly ;daily
(NOB)  Number of observations in data  base: 2000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: (H/A.)
(INF)  Data base includes: Raw data/observations ;Summary  aggregate
    observations
(NTS)  Total number of stations or sources  covered in data base:  3 -
    Houston and Aircraft ; 3 - Los Angeles  and Aircraft
(NCS)  No. stations or sources currently originating/contributing data:
    (N/A.)
(NOF)  Number of facilities  covered in  data base (source monitoring): (N
    /A.)
(GEO)  Geographic coverage of data base: Geographic region Houston,
    TX., Los Angeles, CA.
(LOG)  Data elements identifying location of station or source include:
    City ;Street address
(CDE)  Pollutant identification data are: Uncoded
(LIM)  Limitation/variation  in data of  which user should be aware: Limit
    ed ceteorological information is included    in the data  base.
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision  and accuracy estimates are  not available
(EOT)  Editting: No known edit procedures exist.
(CBY)  Data collected by: EPA lab Environmental Sciences Research
    Lab-Research  Triangle Park, NC ;    Contractor Battelle-Colunbus?
    Washington State University
(ABY)  Data analyzed by: Contractor Battelle-Columbus;  Washington State
    University
(IDL)  Laboratory identification: YES
(AUT)  Authorization for data collection: No statutory  requirement:
    Data collection requirement is    to support Agency standard


                             639

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                             Accession No.  6402000139     (cont)

    development*
(OMB)  Data collected/submitted using OMB-approved EPA reporting foras:
    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    EPA-600/3-78-062
    Unpublished reports Reactions and Transport of Nitrogen Oxides
    (N0                                nitric acld<7697-37-2>
    benzene<71-43-2>                     nitric oxide<10102-43-9>
    carbon moncxide<630-08-0>            nitrogen dioxide<10102-44-0>
    chlorofluotocarbons                  o-xylene<95-47-6>
    chloroform<67-66~3>                  ozone<10028-15-6>
    <98-82-8>                            p-xylene<106-42-3>
    cyclohexane                toluene<108-88-3>
    diethylstilbestrol<56~53-l>          trichloroethane<25323-89-l>
    hydrocarbons                         xylene<1330-20-7>
    m-xylene<108-38-3>
(CAS)  CAS registry numbers of substances included in data base: 71-55-6
    . 71-43-2; 630-08-0; 67-66-3; 98-82-8;      110-82-7; 56-53-1;
    108-38-3; 7697-37-2; 10102-43-9; 10102-44-0;       95-47-6;
    10028-15-6; 106-42-3; 108-88-3; 25323-89-1; 1330-20-7
(CNH)  Contact name(s): Lonneman,W«    ;    Bufalini,J.J.
(ROR)  Responsible Organizations Office of Research and
    Development.Office of Environmental Processes and Effects Rese
                             640

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                             Accession No.   6402000140

(DQ)  Date of Questionaire:  12-02-82
(NAN)  Name of Data Base of  Model: Houston  Ship Channel Study
(ACR)  Acronym of Data Base  or Model:  PC
(MED)  Media/Subject of Data Base or Model:  Air
(ABS)  Abstract/Overview of  Data Base or Model: An Instrumented
    helicopter was used to measure    sulfur dioxide (S0<2», ozone
    (0<3», and nitrogen     oxides (N0
-------
                             Accession No.   6402000140     (cont)

(REP)  Form of available reports and outputs of data base:  Publications
    None yet completed
    Unpublished reports None yet completed
(NOS)  Number of regular users of data base: 1 office
(USR)  Current regular users of data base:  EPA laboratories
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Original form  (hardcopy, readings)
(DAC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use; no
(UPDT)  Frequency of data base master file  up-date:  Other special
    study:  one time only
(CMP)  Completion of form:
    H.M. Barnes
    OFC: EPA/{QRD)/(OEPER)/(ESRL-RTP)
    AD: Research Triangle Park, NC
    PH: (919) 541-2184
(DP)  Date of form completion: 02-15-83
(NMAT)  Number of substances represented in data base: 5
(NCAS)  Number of CAS registry numbers in data base: 3
(NAT)  Substances represented in data base:
    hydrocarbons                         ozone<10028-15-6>
    nitrogen dioxide<10102-44-0>         sulfur dioxide<7446-09-5>
    nitrogen oxides
(CAS)  CAS registry numbers of substances included in data  base:  10102-4
    4-0? 10028-15-6> 7446-09-5
(CNM)  Contact narae(s): Barnes/H.M.    ;    Barnes/H.M.
(COR)  Contact organization: Tech Center/Environmental Sciences
    Research
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects Rese
                             642

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                             Accession No.   6402000141

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Widows Creek Power Plant Plume Study
    (1978)
(ACR)  Acronym of Data Base or Model: PC
(NED)  Media/Subject of Data Base or Model:  Air
(ABs)  Abstract/Over view of Data Base or Model: Measurements were maoe
    in a power plant plume using an instrumented airplane and
    helicopter*   Parameters measured include:   sulfur  dioxide (S0<2»/
    nitrogen oxides (N0
-------
                             Accession No.   6402000141     (cont)

(IDL)  Laboratory Identification:  YES
(PR1)  Primary purpose of data collection:  Anticipatory/research
(AUT)  Authorization for data collection: No statutory requirement:
    Data collection requirement is    research into effect of sulfur
    dioxide scrubbers on secondary particle     formation,
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Publications
    none/ article submitted to Atmospheric Environment  for
    publication.
    Unpublished reports "Characterization of Scrubbed and Unscrubbed
    Pluses"
(NUS)  Number of  regular users of data base: 1
(USR)  Current regular users of data base:  EPA laboratories
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Magnetic tape >0riginal form (hardcopy,
    readings)
(DAC)  Type of data access: user would have to develop their own
    software to access data.
(CHG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base master file up-date: Other data set
    complete
(CMP)  Completion of form:
    H.M. Barnes,  Jr.
    OFC: EPA/(0RD)/(QEPER)/{ESRL-RTP)
    AD: Research  triangle Park, NC 27711
    PH: (919) 541-2184
(DF)  Date of form completion: 02-15-83
(NMAT)  Number of substances represented in data base: 4
(NCAS)  Number of CAS registry numbers in data base: 3
(MAT)  Substances represented in data base:
    nitrogendioxide<10102-44-0>          ozone<10028-15-6>
    nitrogen oxides                      sulfur dloxide<7446-09-5>
(CAS)  CAS registry numbers of substances included in data base: 10102-4
    4-0; 10028-15-6; 7446-09-5
(CNM)  Contact name(s); Barnes,H.M.    ;    Barnes,H.M.
(COR)  Contact organization: Environmental Sciences Research
    Lab-Research  Triangle
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Processes and Effects Rese
                             644

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                             Accession No.   6402000142


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                             Accession No.   6402000142     (cont)

(OMB)  Data collected/submitted using QMB-approved EPA reporting forms:
    Ko
(REP)  Form of available reports and outputs of data base:  Unpublished
    reports Visibility Field Study Data Report
    Printouts on request
    Machine-readable verified data
(NUS)  Number of regular users of data base: 0
(DSR)  Current regular users of data base:  None
(CNF)  Confidentiality of data and Units on access: No limits on
    access to data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: Commercial software Statistical Package for
    the Social  Sciences (SPSS) ;   EPA software Individual contractor
    developed programs  NIDS:6402600910 MIDS:6402600911 ;   EPA hardware
    Unlvac and/or PDP-11
(CHG)  Direct charge for non-EPA use: no
(UPDf)  Frequency of data base aaster file up-date: No longer up-dated.
(CMP)  Completion of fora:
    T. Ellestad
    OFC: EPA/(ORD)/(OEPER)/(ESRL-RTP)
    AD: Research Triangle Park/ NC
    PH: (919) 541-2253
(DF)  Date of form completion: 10-30-80
(KMAT)  Number of substances represented in data base: 11
(NCAS)  Number of CAS registry numbers in data base: 5
(NAT)  Substances represented in data base:
    fine mass                            ozone<10028-15-6>
    lead<7439-92-l>                      sulfate
    light absorption                     sulfur
    light scattering                     sulfur dioxide<7446~09-5>
    nitrate<14797^55-8>                  total mass
    nitrogen dioxide<10102-44-0>
(CAS)  CAS registry numbers of substances included in data  base: 7439-92
    -1; 14797-55-8; 10102-44-0;       10028-15-6; 7446-09-5
(CNM)  Contact name(s): Ellestad,T.    ;    Ellestad,!.    ;
    Ellestad,T.
(RQR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Processes and Effects Rese
                             646

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                             Accession No.   6402000143

(DQ)  Date of Questionairei  12-02-82
(NAM)  Name of Data Base of  Model:  Widows Creek Power Plant  Plume  Study
    (1979)
(ACR)  Acronym of Data Base  or Model:  PC
(MED)  Media/Subject of Data Base or Model:  Air
CABS)  Abstract/Overview of  Data Base or Model: Measurements were  made
    in s power plant plume using    and instrumented airplane and
    helicopter.  Parameters  measured   include:  sulfur  dioxide,
    nitrogen oxides/ ozone,  temperature,   relative humidity, particle
    size distribution, and filter   samples for sulfate  and  nitrate.
    Data is available on magnetic tape (aircraft data)  and tabular
    printout     (helicopter data).
(CTC)  CONTACTS:  Subject matter   H.M. Barnes  (919) 541-21841
    Computer-related  H.M. Barnes
(DTP)  Type of data collection or monitoring: Ambient  data collection
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances  represented In Data Base:  7  criteria  NAAQS
(NPP)  Non-pollutant parameters included in the data base: Chemical
    data /Temperature ;Wind  direction /Kind velocity
(DS)  Time period covered by data base: 10-00-79
(TRM)  Termination of data collection: Occurred 10/30/79
(FRQ)  Frequency of data collection or sampling: one time only
(NOB)  Number of observations in data base:  12000.(Estimated)
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources covered in  data base:  1.
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(NOF)  Number of facilities  covered in data base (source monitoring): 1.
(GEO)  Geographic coverage of data base: County/smaller  location  pouer
    plant area
(LOC)  Data elements identifying location of station or  source include:
    State ycounty jToan/township
(FAC)  Data elements identifying facility include: Plant facility  name
    ;Plant location ^Parent  corp name
(CDE)  Pollutant identification data are: Other coding  scheme
(LifO  Limitation/variation  in data of which user should be  aware: Sulfu
    r dioxide, nitrogen oxides, ozone- contlnous In the  plume at
    distances to 40 kilometers.  Particle size classification—grab bag
    samples-6 per day.
(DPR)  Data collect./anal, procedures conform to ORD guidelines:  Samplin
    g plan documented ^Collection method documented ^Analysis method
    document
(AML)  Lab analysis based on EPA-approved or accepted  methods? YES
(PRE)  Precision: Precision and accuracy estimates are  not available
(EDT)  Editting:  Edit procedures used but undocumented.
(CBV)  Data collected by: Contractor lab Radian Corporation, Austin,  TX
    ^Tennessee Valley Authority (TVA)  Shoals, AL
(ABY)  Data analyzed by: Contractsr lab Radian Corporation,  Austin, TX
    Tennessee Valley Authority (TVA) Air Quality Branch, Muscle
    Shoals, AL
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection: Anticipatory/research


                             647

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                             Accession No.   6402000143     (cont)

(AUT)  Authorization for data collection:  Mo statutory requirement:
    Data collection requirement is    Research into effects of sulfur
    dioxide scrubbers on secondary pollutant   formation.
(QMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Fora of available reports and outputs of data base:  Publications
    Hone yet completed
(NUS)  Number of regular users of data base: 1
(USR)  Current regular users of data base:  EPA laboratories
(CNF)  Confidentiality of data and limits  on access: No limits on
    access to data
(DLC)  Primary physical location of data:  EPA lab
COST)  Form of data storage: Magnetic tape  ^Original form  (hardcopy,
    readings)
(DAC)  Type of data access; user would have to develop own software  to
    access data.
(CHG)  Direct charge for non-EPA use: no
(OPDT)  Frequency of data base master file  up-datei Other  data set
    complete
(CMP)  Completion of form:
    H.M. Barnes/ Jr.
    OFC: EPA/(DRD)/(DEFER)/(ESRL-RTP)
    AD: Research Triangle Park, NC 27711
    PH! (919) 541-2184
          ozone<10028-15-6>
    nitrogen oxides                      sulfur dioxide<7446-09-5>
(CAS)  CAS registry numbers of substances  included in data base: 10102-4
    4-0; 10028-15-6; 7446-09-5
(CNM)  Contact name(s): Barnes/H.M.    ;    Barnes,H.M.
(COR)  Contact organization: Environmental  Sciences Research
    Lab-Research Triangle
4RQR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects Rese
                             649

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                             Accession No.   6402000144

(DO)  Date of Questionaire:  12-02-82
(NAM)  Haroe of Data Base of Model:  Ambient Air Downwind of a Commercial
    Lurgi Coal  Gasification Plant-Kosovo Regio
(ACR)  Acronym of Data Base or Model:  PC
(MED)  Media/Subject of Data Base or Model: Air ;Emissions  commoner cial
    lurgi coal gasification plant
(ABS)  Abstract/Over view of Data Base or Model: The data Indicated that
    increases in the     ambient aerosol burden were associated with
    coal  handling and transport.  Measured ambient concentration
    of organic species/ such as benzopyrene isomers   and organic
    oxygen-/ nitrogen-/ and sulfur- containing compounds were
    correlated to organic compounds from    emission sources at the
    gasification plant about 2     kilometers upwind in the Kosovo
    Region of Yugoslavia.
(CTC)  CONTACTS: Subject matter   Ronald K. Patterson  (919) 541-3779
    ;     Computer-related  R
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances represented in Data Base: 43 air priority
    chemicals ;7 criteria NAAQS ;129 307 CWA ;54 TSCA assessment ;   15
    metals
(NPP)  Non-pollutant parameters included in the data base: Chemical
    data ;Collection method ^Concentration measures Discharge points ;
    Elevation ?Flow rates ;Industry ^Location Manufacturer ;Physical
    data ;   Precipitation ;Sampling date ;Site description
    ;Temperature /    Test/analysis method ;Volume/mass measures ;Hlnd
    direction ;Wind velocity
(DS)  Time period covered by data base: 05-00-79
(TRM)  Termination of data collection: Not applicable
(FRQ)  Frequency of data collection or sampling: hourly ;dally ;Other
    hourly:  2 hour intervals jGther daily:  16 days-05/14/79 t
(NOB)  Number of observations in data base: 3000 samples.(Actual)
(NEI)  Estimated annual increase of observations in data base: 0.
(INF)  Data base includes: Summary aggregate observations
(NTS)  Total number of stations or sources covered in data base: 5.
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(NOF)  Number of facilities covered in data base (source monitoring): 1.
(GEQ)  Geographic coverage of data base: International
(LQC)  Data elements identifying location of station or source includes
    Project identifier
(FAC)  Data elements identifying facility include: Plant facility name
    jPlant location jParent corp name ^Parent corp location
(LIM)  Limitation/variation in data of which user should be aware: Obser
    vations made downwind of a ten year old/     poorly controlled
    gasification plant; sampling times vary/  depending on component
    under observation; total suspended   particulates/ oranics/ carbon/
    metals/ solubles.  Observa-  tions include various ions:  sulfate/
    nitrate and ammonium.
(DPR)  Data collect./anal. procedures conform to ORD guidelines: Samplin
    g plan documented ^Collection method documented ^Analysis method
    document QA procedures documented


                             649

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                             Accession No.   6402000144     (cent)

(ANL)  Lab analysis based on EPA-approved or accepted methods? NO
(AUD)  Lab Audit:  Data not based on lab analysis,
(PRE)  Precision:  Precision and accuracy estimates exist for all
    measurements  Precision and accuracy estimates partially exist for
(EOT)  Editting: Edit procedures used and documented.
(CBY)  Data collected by: EPA lab Aerosol Research Branch/Environmental
    Sciences  Research Lab-Research Tr Contractor lab Kosovo
    Institute-Yugoslavia Contractor Radian Corporation-prime
    contractor ;   Rudarski Institute-Yugoslavia
(ABY)  Data analyzed by: EPA lab Aerosol Research Branch/Environmental
    Sciences Research Lab-Research Triangle Park/ NC
    Contractor lab Radian Corporation
    Other federal agency Oak Ridge National laboratory
    Florida State University
    Oregon Graduate Center
(IOL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection!  Special study
(AUT)  Authorization for data collection: Mo statutory requirement:
    Data collection requirement is    to study anbient air dotmuind of
    a commercial-scale gasifier.
(REP)  Form of available reports and outputs of data base: Publications
    Bombaugh/ K. J./ G,C. Page, C.H. Billiams/ L.O.     Edwards/ V.D.
    Balfour/ D.S.  Lewis/ and K.feL Lee. Aerosol    Characterization of
    Ambient Air Near a Commerical Lurgi Coal Gasification  Plant:
    Kosovo Region/ Yugoslavia.  Submitted     to EPA by Radian
    Corporation in July I960, EPA-600/7-80-177.     Griest, W.H.,  J.E.
    Caton/ N.R* Guerln/ L.B. Yeatts/ Jr./ and C.E. Higgins.  Extraction
    and Recovery of Polycyclic  aroieatlc Hydrocarbons froa Highly
    Sorptive Matrices such as Fly Ash.  In:  Polyimclear Aromatic
    Hydrocarbons:   Chemistry     and Biological Effects/ A. Bjorseth
    and A.J. Dennis/ eds. Battelle Press/  Columbus/ Ohio/ 1980, pp.
    819-828.
    Unpublished reports Higgins/ C.E. and M.R. Guerln.  Recovery of
    Naphthalene during Evaporative Concentration.  Oak Ridge Rational
    Laboratory/ submitted to Analytical Chemistry*.    Higgins/ C.E.
    Rapid Preparation of Reproducibly-Behaving Wall-Coated  Capillary
    Columns.  Oak Ridge National Laboratory/ in  preparation for
    publication.  K.J. Bombaugh/ K.H« Lee/ and T.K. Jaes
    Characterization of Emissions from a Lurgi Coal Gasification System
    at Kosovo/ Yugoslavia.     K.H. Lee* K.J. Bombaugh, C.H. Williams/
    Jr»/ D.S. Lewis/ and L.D. Ogle       A Comparison of Organics
    Collected from the Ambient Air uith the    By-Products of a Lurgi
    Coal Gasificaion Plant.    C.H. Williams/ Jr./ K.J. Bombaugh/ P.H.
    Lin/ K.W. Lee/ and C,L.  Prescott  GC/MS Characterization of Trace
    Organic Compounds in the    Ambient Aerosol Associated uith a Coal
    Gasification Plant.  H.H. Griest, C.E. Higgins/ R.H. Holmberg/ J.H.
    Honeyhum/ J.E. Caton/  J.Silke/ and R.R. Reagan  Characterization
    of Vapor-and P articulate-  Phase Organics form Ambient Air Sampling
    at the Kosovo Gasifier. J.J. Huntzicker/ R«L. Johnson/ J.J. Shahn/
    and E« Heyerdahl Carbonaceous Aerosol in the Vicinity of a Lurgi
    Gasifier.   L.C*S. Boueres/ J.w* Winchester/ and J.U. Nelson
    Particle  Size Distributions of trac"e Element Emission Near a Coal


                             650

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                             Accession No.   6402000144     (cont)

    Gasification Plant in Kosovo, Yugoslavia.     U.D.  Balfour/  J.J.
    Borabaugh/ L.O. Edwards/ and R.K.  Patterson    Collection and
    Characterization of Ambient Aerosols Dounuind     from a Commercial
    Lurgi Coal Gasification Facility.
(NUS)  Number of regular users of data base: 10
(USR)  Current regular users of data  base:  EPA headquarter offices
    Office of Research and Development
    EPA regional offices
    Other federal agencies
    Yugoslav labs
    contractors
(CNF)  Confidentiality of data and limits on access: No limits  on
    access to data
(DLC)  Primary physical location of data: Contractor ;Other federal
    agency ;0ak Ridge National Laboratory / Florida State University
    /Oregon Graduate Center
(DST)  Form of data storage: Magnetic tape ;Original form (hardcopy/
    readings)
(DAC)  Type of data access: report form
(CHG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base master file up-date: Other study is
    complete
(CMP)  Completion of form:
    Ronald K, Patterson
    OFC: FPA/(ORD)/(OEPER)/(ESRL-RTP)
    AD: Research Triangle Park/ NC 27711
    Pfl: (919) 541-3779
(DF)  Date of form completion: 02-24-83
(NMAT)  Number of substances represented in data base: 48
(NCAS)  Number of CAS registry numbers in data base: 51
(HAT)  Substances represented in data base:
    3/4-benzofluoranthene<205-99         lead<7439-92-l>
       -2>                               ra-cresol<108-39-4>
    aluninum<7429-90-5>                  n-xylene<108-38-3>
    ammonium                             naphthalene<91-20-3>
    anthracene<120-12-7>                 nickel<7440-02-0>
    benzene<71-43-2>                     nitrate<14797-55-8>
    benzo(a)anthracene<56-55-3>          o-cresol<95-48-7>
    benzo(a)pyrene<50-32-8>              o-xylene<95-47-6>
    benzo(k)fluoranthene<207-08-9>       p-cresol<106-44-5>
    biphenyl<92-52-4>                    p-xylene<106-42-3>
    bis(2-ethylhexyl)phthalate           phenanthrene<85-01-8>
       <117-81-7>                        phenol<108-95-2>
    bromine<7726-95-6>                   phosphorus<7723-14-0>
    calcium                              potassium<7440-09-7>
    carbon spec!ation analysis           pyrene<129-00-0>
    chlorine<7782-50-5>                  pyridine<110-86-l>
    chrysene<2!8-01-9>                   quinoline<91-22-5>
    copper<7440-50-8>                    silicon
    ethylbenzene<100-41-4>               size fractionated aerosol mass
    gasifier tars and oils analysis      strontium
    iron<7439-89-6>                      sulfate


                             651

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                             Accession No.  6402000144     (cont)

    sulfur                               total suspended particulates
    thiophene                            vanadiura<7440-62-2>
    titaniuin<7440-32-6>                  zinc<7440-66-6>
    toluene<108-88-3>
(CAS)  CAS registry numbers of substances Included in data base:  205-99-
    2; 7429-90-5; 120-12-7; 71-43-2;       56-55-3; 50-32-8; 207-08-9;
    92-52-4; 117-81-7; 7726-95-6; 7782-50-5;       218-01-9; 7440-50-8;
    100-41-4; 7439-89-6;  7439-92-1; 108-39-4;   108-38-3; 91-20-3;
    7440-02-0; 14797-55-8; 95-48-7; 95-47-6; 106-44-5;      106-42-3;
    85-01-8; 108-95-2; 7723-14-0; 7440-09-7; 129-00-0;     110-86-1;
    91-22-5; 7440-32-6; 108-88-3; 7440-62-2; 7440-66-6
(CNN)  Contact name(s): Patterson,R.K. ;    Patterson,R.K. ;
    Patterson, R.K.
(ROR)  Responsible Organization: Office of Research and
    Development*Office of Environmental Processes and Effects Rese
                             652

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                             Accession No.   6402000158

(OQ)  Date of Questicnaire:  12-02-32
(NAM)  Name of Data Base of  Model;  Houston  Qxidant Modeling Study
(ACR)  Acronym of Data Base  or Model:  HQMS
(MED)  Media/Subject of Data Base or Model: Air
(ABS)  Abstract/Overview of  Data Base  or Model; Data are from an
    intensive study from September  15-   October 12* 1978 in Houston,
    TX and include oxidant and     oxidant  precursor measurenents uith
    concurrent meteorological    observations.  The Houston Oxidant
    Modeling Study is a separate EPA-funded study to collect
    supplemental oxidant/  precursor data in addition to Houston Area
    Oxidant Study    CHAOS)  data base,
(CTC)  CONTACTS: Subject matter   William Lonneman  (919) 549-2829?
    Computer-related  K.C. N
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances represented in  Data Base: 43 air priority
    chemicals ;7 criteria NAAQS
(NPP)  Non-pollutant parameters included in the data base:  Chemical
    data ^Collection method jConcentration  measures ^Precipitation ;
    Sampling date ;Site description ;Temperature ;Wind direction >
    Wind velocity ;deu point ;solar radiation ^scattering coefficient ;
    pressure ;aerosols
(DS)  Time period covered by data bases 09-0178 TO 10-30-78
(TRM)  Termination of data collection: Occurred 10/30/78
(FRQ)  Frequency of data collection or sampling: one time only /less
    than hourly instantaneous ?hourly  jdaily
(NOB)  Number of observations in data  base: 2500000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: (N/JU)
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data base: 25.
(NCS)  No. stations or sources currently originating/contributing data:
    (N/A.)
(NOF)  Number of facilities  covered in data base (source monitoring): (N
    /A.)
(GEO)  Geographic coverage of data base; Geographic region Houston/ TX
    metropolitan area
(LOG)  Data elements identifying location of station or source include:
    Project identifier
(CDE)  Pollutant identification data are: Other coding scheme
(LIM)  Limitation/variation in data of uhich user should be aware: Time:
    9/15/78-10/12/78.  Greater Houston TX area.     Oxidant oriented
    measurements.
(DPR)  Data collect./anal, procedures  conform to (3RD guidelines: Collect
    ion method documented ^Analysis method  documented ;QA procedures
    document
(AND  Lab analysis based on EPA-approved or accepted methods? NO
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision and accuracy estimates exist but are not
    included in data base
(EDT)  Editting: Edit procedures used  but undocumented.
(CSV)  Data collected by: Local agency Houston Air Pollution Control
    District ;State agency Texas Air Cont EPA lab Environmental


                             653

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                             Accession No*   6402000158     (cont)

    Sciences Research Lab-Research  Triangle Park, NC ?  Contractor
    Radian Corporation ?Monsanto ^Houston Power and Light ?    Shell Oil
(AB¥)  Data analyzed byi State agency Texas Air Control Board
    Regional office Region VI
    SPA lab Environmental Sciences Research Lab-Research Triangle
    Park, NC
    Contractor SRI International
                o-xylene<95-47-6>
    carbon monoxide<630-08-0>            ozone<10028-15-6>
    formaldehyde<50-00-0>                p-xylene<106-42-3>
    hydrocarbons                         sulfur dioxide<7446-09-5>
    lea                      toluene<108-88-3>
    m-xylene<108-38-3>                   total suspended particulates
    nitrogen dioxide<10102-44-0>
(CAS)  CAS registry numbers of substances included in data base: 75-07-0
    ? 630-08-0; 50-00-0? 7439-92-1?   108-38-3? 10102-44-0? 95-47-6?
    10028-15-6? 106-42-3? 7446-09-5?       108-88-3
(CNM)  Contact name(s): Lonneman,H.    }    Hitz,X*C. ?    Branch,A.M.
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects Rese
                             654

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                             Accession Ho.   6402000159

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Field Study Measurements
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model:  Air
(ABS)  Abstract/Overview of  Data Base  or Model: Measurements  obtained
    during intensive field studies  of  plumes   from power  plants  and
    urban area sources as well as of regional  hazes are included in
    the data base*  Aircraft and mobile and  fixed surface  data,
    together uith supporting meteorological  data are stored.   Includes
    STATE   and PEPE/NEROS aata.
(CTC)  CONTACTS: Subject matter   Francis Pooler, Jr  (919)541-2649
    ;     Computer-related  R
(DTP)  Type of data collection or monitoring:  Ambient data collection
(STA)  Data Base status; Operational/ongoing
(NPP)  Kon-pollutant parameters included in  the data base: Collection
    method ;Elevation ^Location ;Sampling date
(DS)  Time period covered by data bases 08-01-78 TO 09-30-80
(TRM)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: Other  Most data  are
    5-second averages
(NOB)  Number of observations in data  basei  30000000.(Estimated)
(NET)  Estimated annual increase of observations in data base:  1000000.
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources covered in data base:  31.
(NCS)  No. stations or sources currently originating/contributing data:
    3 (to be added.)
(NOF)  Number of facilities  covered in data  base (source monitoring)! 10
    m
(CEO)  Geographic coverage of data bases Geographic region trans
    Applachian Region and East Coast Corridor
(LOC)  Data elements identifying location of station or source include:
    Coordinates latitude and longitude ;sampling platform
(FAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant identification data  are: Other coding  scheme
(LIM)  Limitation/variation  in data of ahich user should be aware: Data
    are limited to periods of 3 to 5 week intensive uith 50      to
    100 hours sampling time  per platform.
(DPR)  Data collect./anal, procedures  conform  to QRD guidelines:  Samplin
    g plan documented ^Collection method documented ^Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? MO
(ADD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision  and accuracy estimates exist but  are  not
    included in data base
(EDT)  Editting: Edit procedures used  but undocumented.
(CBY)  Data collected by: Argon National Lab;  SRI International;
    Environ-  mental Measurement Inc.; Meteor  Lab;  University of
    Minnesota; Cal Tech; Washington State University; Abrovironment
    >Tennessee Valley Authority^ National Oceanic and  Atmospheric
    Administration^ National Aeronautics and Space Administration
(ABY)  Data analyzed by: Environmental Sciences Research Lab-Research
    Triangle Park; Environmental Monitoring  Sciences Lab-Las  Vegas


                             655

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                             Accession No.   6402000159     (cont)

    Argon National Lab; SRI International;  Environ-  mental Measurement
    Inc.; Meteorology Research Inc.; Brookhaven National    Lab;
    University of Minnesota; Cal Tech; Washington State University;
    Abrovironraent
    Other federal agency Tennessee Valley Authority, National  Oceanic
    and Atmospheric Administration
(IOL)  Laboratory identification: NO
(AUT)  Authorization for data collection: No statutory requirement:
    Data collection requirement is    for research on
    transformation/transport processes and effects
(OMB)  Data collected/submitted using OMB-approved EPA reporting  forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Unpublished
    reports Platforms Reports
    Machine-readable ran data
(NUS)  Number of regular users of data base: 20 organizations plus 125
    people involved in the study
(USR)  Current regular users of data base:  EPA laboratories
    Other federal agencies
    CAPITA is consolidating data
    grantees
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: NCC/UNIVAC
(DST)  Form of data storage: Magnetic tape ;0riglnal form (hardcopy,
    readings)
(DAC)  Type of data access: CAPITA, Washington University,  St. Louis,
    MO-automated data ;     Environmental Sciences Research
    Lab-Research Triangle Park,
(CH6)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base master file up-date: Other Data added as
    they became available following each field study
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    PEPE/NEROS D6402000116 State D6402000178
(CMP)  Completion of form:
    Francis Pooler, Jr
    QFC: Regional Field Studies Branch (RFSB^Environmental Sciences
    Research
    Lab-Research Triangle Park, NC (ESRL-RTP)
    AD: ERC, Research Triangle Park, NC 27711
    Pfl: (919)541-2649
(DF)  Date of form completion: 09-08-80
(NMAT)  Number of substances represented in data base: 9
(NCAS)  Number of CAS registry numbers in data base: 3
(MAT)  Substances represented in data base:
    aerosol mass loadings                nitrogen oxides
    aerosol size distributions           ozone<10028-15-6>
    aerosol sulfate                      scattering coefficient
    airborne nitrate                     sulfur dioxide<7446-09-5>
    nitrogen dioxide<10102-44-0>
(CAS)  CAS registry numbers of substances included in data base:  10102-4
    4-0; 10028-15-6; 7446-09-5


                             656

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                             Accession No.   6402000159      (cont)

(CNM)  Contact name(s):  Pooler,F.  ;     Broiming,R.H.
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects  Rese
                             657

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                             Accession No.   6402000160

(DQ)  Date of Questionaire:  12-02-82
(KAM)  Name of Data Base of Model:  VISTTA-June,  July 1979
(ACR)  Acronym of Data Base or  Model:  VISTTA
(MED)  Media/Subject of Data Base or Model:  Air  ?Emissions   coal  fired
    power plant plume
(ABS)  Abstract/Overview of Data Base  or Model:  Data were acquired  for
    a 3 week period at a fixed  site (Zilnez    Mesa*  lat. 36.79  degrees
    N, 110.63 degrees M, 2200 m. elevation)  in   northern   Arizona.
    Measurements were made 24 hours per day, and included gas and
    aerosol   measurements inside and  outside the plume of  the  Navajo
    Generating Station.
(CTC)  CONTACTS: Subject matter   Peter H. McMurry,  University  of
    Minnesota ;     Computer-relat
(DTP)  Type of data collection  or monitoring:  Ambient data  collection
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances represented in Data  Base: 7 criteria  NAAQS
    ?41 CWA potential criteria
(NPP)  Non-pollutant parameters included in  the  data base:  Chemical
    data ^Elevation ;Saspling date  ;Site description ;Temperature ;
    Test/analysis method ;Hind  direction ;Hind velocity ?Aerosol  size
    distributions ?    Aerosol  chemical composition  by  XRF  (submlcron
    and total) >Aerosol sulfur  ;    Meteorological  parameters
CDS)  Time period covered by data base: 06-01^79 TO  07-30-79
(TRM)  Termination of data collection: Occurred  07/30/79
CFRQ)  Frequency of data collection or sampling: Other  24 hours per  day
    continuous for 3 week intensive period
(NOB)  Number of observations in data  base:  10000000.(Estimated)
(NEI)  Estimated annual increase of observations in  data base:  (N/A.)
(INF)  Data base includes: Ran  data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources covered in data  base:  1.
(NCS)  Ro. stations or sources  currently originating/contributing data:
    1.
(NOF)  Number of facilities covered in data  base (source monitoring): 1.
(GEO)  Geographic coverage of data base: Geographic  region  Southwest
    U.S.
(LOG)  Data elements identifying location of station or source  include:
    documentation identifies source
(FAC)  Data elements identifying facility include: documentation
    identifies facility
(CDE)  Pollutant identification data are: Uncoded
(LIN)  Limitation/variation in  data of which user should be aware:  This
    project ran for 3 weeks and included intensive 24 hour  per  day
    sampling during that period.
(DpR)  Data collect./anal, procedures  conform to ORD guidelines:  Samplin
    g plan documented ^Collection method documented  ^Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods?  NO
(AUD)  Lab Audit: Lab audit is  satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but are  not
    included in data base
(EOT)  Edittlng: Edit procedures used  and documented.


                             658

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                             Accession No.   6402000160     (cont)

(CflY.)  Data collected by: Contractor lab University of Minnesota
    Particle Lab
(ABY)  Data analyzed by:  Contractor lab University of Minnesota
    Particle Lab
(IDL)  Laboratory identification:  YES
(PR1)  Primary purpose of data collection:  Development of regulations
    or standards
(AUT)  Authorization for  data collection: Statutory authorization  is to
    determine cause of visibility  degradation in  class I areas
(OMB)  Data collected/submitted using OMB-approved EPA. reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base:  Unpublished
    reports Data Report:  UMML VISTTA Project Zilnez Mesa
    Machine-readable raw  data
(NOS)  Number of regular  users of  data base: 10-15
(USR)  Current regular users of data base:  EPA laboratories
    University of Minnesota
    Environmental Sciences Research Lab-Research Triangle Park, NC
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: Contractor
(D5T)  Form of data storage: Magnetic tape
(CHG)  Direct charge for  non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Other None, project
    complete
(RD8EPA)  Related EPA data bases used in conjunction with this data base
    Meteorology Research  Institute (MRI) Stanford     Research
    Institute/ VISTTA data banks
(RDB)  Non-EPA data bases used in  conjunction with this data base: SRP
    data bases
(CMP)  Completion of form:
    Peter H. McMurry
    OFC: Department of Mechanical  Engineering, University of Minnesota
    AD: 111 Church 5t, SE, Minneapolis, MN 55455
    PH: (612)373-5647
(DF)  Date of fora completion: 02-18-83
(NMAT)  Number of substances represented In data base: 4
(NCAS)  Number of CAS registry numbers in data base: 3
(MAT)  Substances represented in data base:
    nitrogendioxide<10102-44-0>          sulfur dioxide<7446-09-5>
    ozone<10028-15-6>                    sulfates
(CAS)  CAS registry numbers of substances included in data base: 10102-4
    4-0; 10028-15-6; 7446-09-5
(CNM)  Contact name(s): McMurry,P.H,   ;    Valentine,N.
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Processes and Effects Rese
                             659

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                             Accession No.   6402000161

(DQ)  Date of Questionaire: 12-02-82
(NAN)  Name of Data Base of Model:  Los Angeles Freeway  Study
(ACR)  Acronym of Data Base or Model:  FREEWAY
(MED)  Media/Subject of Data Base or Model:  Air ;Mobile source
    emissions
(ABS)  Abstract/Overview of Data Base  or Model: Data were  acquired  with
    a mobile laboratory on Los Angeles  Freeways  to measure  sulfate
    levels from catalyst equipped cars.  Data were acquired during  an
    intensive 2 week study.
(CfC)  CONTACTS: Subject matter   K.T. Whitby, University  of  Minnesota
    J     Computer-related  N
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances represented in Data Base: 7 criteria  NAAQS
    ;41 CWA potential criteria
(NPP)  Non-pollutant parameters included in  the data base: Chemical
    data ^Elevation >Site description  ^Temperature ;Test/analysls
    method ;  Treatment devices ;Wind  direction >Wind velocity  ;Aerosol
    size distributions ;  Meteorological parameters
(DS)  Time period covered by data base: 10-01-76 TO 11-30-76
(TRH)  Termination of data collection: Occurred 11/30/76
(FRQ)  Frequency of data collection or sampling: Other  daily  during 2
    week intensive field study
(NOB)  Number of observations in data  base:  10000000.(Estimated)
(NED  Estimated annual increase of observations in data base:  (N/A.)
(INF)  Data base includes: Raw data/observations ;Summary  aggregate
    observations
(NTS)  Total number of stations or sources covered in data base:  (N/A.)
(NCS)  No. stations or sources currently originating/contributing data:
    (N/A.)
(NOF)  Number of facilities covered in data  base (source monitoring): (8
    /A.)
(GEO)  Geographic coverage of data base: County/smaller location  Los
    Angeles, CA
(LOC)  Data elements identifying location of station or source  include:
    documentation identifies sources
(FAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant identification data are: Uncoded
(DPR)  Data collect./anal, procedures  conform to ORD guidelines:  Samplin
    g plan documented /Collection method documented ;Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods?  NO
(ADD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but  are  not
    included in data base
(EDT)  Editting: Edit procedures used  and documented.
(CBY)  Data collected by: Contractor lab University of  Minnesota
    Particle Lab
(ABY)  Data analyzed by: Contractor lab University of Minnesota
    Particle Lab
(1DL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection: Special study


                             660

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                             Accession No.   6402000161      (cont)

(AUT)  Authorization for data collection: Statutory authorization  is to
    determine importance of sulfate levels  on     freeways
(OMB)  Data collected/submitted using QMB-approved EPA  reporting forms:
    QQ
(REP)  For IB of available reports and outputs of data base: Unpublished
    reports 1976 Los Angeles Freeway Study  UMML Data
(NOS)  Number of regular users of data base: 10-15
(USR)  Current regular users of data base:  EPA laboratories
    University of Minnesota
    Environmental Sciences Research Lab-Research triangle Park,  NC
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: Contractor
COST)  Form of data storage: Magnetic tape
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file  up-date: Other None,  project
    complete
(CMP)  Completion of form:
    Peter H. McMurry
    OFC: Department of Mechanical Engineering, University of Minnesota
    AD: 111 Church St, SB, Minneapolis, MN  55455
    PH: (612)373-5647
(DF)  Date of form completion: 02-18-83
(NMAT)  Number of substances represented in data base:  5
(NCAS)  Number of CAS registry numbers in data base: 4
(MAT)  Substances represented in data base:
    carbon monoxide<630-08-0>            sulfur dioxide<7446-09-5>
    nitrogen dioxide<10102-44-0>         sulfates
    ozone<10028-15-6>
(CAS)  CAS registry numbers of substances Included in data base: 630-08-
    0; 10102-44-0; 10028-15-6> 7446-09-5
(CNM)  Contact name(s): Hhitby,K.T.    ;    Valentine,?}.
(ROR)  Responsible Organization: Office of  Research and
    Development*Office of Environmental Processes and Effects Rese
                             661

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                             Accession No.   6402000162

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model;  Electric Power Research
    Institute(SPRI)-SORE STREAKER DATA
(ACR)  Acronym of Data Base  or Models  EPRISTRK
(MED)  Media/Subject of Data Base or Model: Air
(ASS)  Abstract/overview of  Data Base  or Model: Tabulation  of  2 hourly
    values of elemental concentrations in less     than or  equal to 15
    micro-meter aerodynamic  diameter aerosol collected  by  the Nelson
    FSU linear streaker at the 9 Class I EPRI-SURE sites.  All 9
    sites operated between August 1977 and  December 1979.  Elemental
    analysis  of collected samples by  particle induced  X-ray emission
    (PIXE) for    aluminum,  silicon* phosphorus,  sulfur*  chlorine,
    potassium/ calcium,  titanium,  vanadium* manganese, iron,  copper*
    zinc, bromine, and lead  is    ongoing for selected  periods.  Data
    are archived on tape, unblocked 800    BPI, ASCII,  and  on  paper
    printouts.  Inculded now is a small data base of  elemental
    composition of size fractionated aerosols for each  of the    9 above
    sites.  Samples Here collected using single orifice cascade
    imp actors for <0.25, 0.25, 0.5, 1, 2, 4, 8,>8 microns aerodynamic
    diameter, for 4 hour sampling periods over 24 hours collection
    times. Samples were collected for  1 seek at the 9 sites, 19-26th
    April 1978.
CCTC)  CONTACTS: Subject matter   Dr.  A.C.D. Leslie  (904)644-6700?
    Computer-related  Dr« J.
(DTP)  Type of data collection or monitoring: Ambient data  collection
(STA)  Data Base status: Discontinued
(NPP)  Non-pollutant parameters included in the data base:  Chemical
    data ;Sampling date ;elemental concentrations
(OS)  Time period covered by data base: 08-01-77 TO 12-30-79
(TRM)  Termination of data collections Occurred 12/30/79
(FRQ)  Frequency of data collection or sampling:  Other  2 hourly
(NOB)  Number of observations in data  base: 150,000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: Terminate
    d.
(INF)  Data base includes: Raa data/observations
(NTS)  Total number of stations or sources  covered in data  base: 9«
(NCS)  No. stations or sources currently originating/contributing data:
    1.
(NQF)  Number of facilities covered in data base (source monitoring): 9.
(GEO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source include:
    Street address
(FAC)  Data elements identifying facility include: Street address
(CDE)  Pollutant identification data are: Oncoded
(LiM)  Limitation/variation in data of which user should be aware: Data
    base only covers selected periods  of interest.    No audit samples
    have been taken.
(DPR)  Data collect./anal, procedures  conform to ORD guidelines: Samplin
    g plan documented jCollection method documented ^Analysis  method
    document
(AND  Lab analysis based on EPA-approved or accepted methods? NO
(AUD)  Lab Audit; Data not based on lab analysis.


                             662

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                             Accession fSo«   6402000162     (cent)

(PRE)  Precision: Precision and accuracy estimates exist for all
    measurements
(GOT)  Editting: Edit procedures used but undocumented.
(CBY)  Data collected by: Contractor Environmental Research technology
    and Florida  State University
(ABY)  Data analyzed by:  Contractor Florida State University
(IDL)  Laboratory identifications YES
(PR1)  Primary purpose of data collection:  Anticipatory/research
(AUT)  Authorization for  data collection! Ho statutory requirement:
    Data collection requirement is    For anticipatory research
    purposes.
(OMB)  Data collected/submitted using QMB-approved EPA reporting forms:
    QQ
(REP)  Fora of available  reports and outputs of data base:
    Bauman, L.C.S. Boueres, S*L. Conn, A.C.D. Leslie/ S«W.  Rhelngrover,
    S. Tanaka, J.W. Winchester, and G.S. Young, Nonurban eastern U.S.
    sulfate  concentration variability in relation to meteorological
    parameters, paper  presented at Symposium on the Budget and Cycles
    of Trace Gases and Aerosols     in the Atmosphere (4th
    International Conference of the Commission on  Atmospheric
    Chemistry and Global  Pollution/ International Association for
    Meteorology and Atmospheric Physics), Boulder, CO, August 12-18,
    1979;     Journal of  Geophysical Research, to be submitted, 1980.
    Sene E. 8 a urn an, Evan  T« Mi Hi arcs, Harmon L» Finston, Albert H*
    Bond, Jr.,  and Peter M.S. Lesser, Quantitative analysis by
    protoninduced X-ray   emission  utilizing an inexpensive
    external-beam system, nuclear Instruments and     Methods,  165,
    57-62, 1979.   H.H. Berg, Katsuya Sato, Renaud Vie le Sage, J.W.
    Winchester, and  S.L.    Conn,     Time-dependent sulfur and trace
    metal correlations In nonurban aerosols    from an eastern U.S.
    mesoscale network, in Control of Emissions from  Stationary
    Combustion Sources: Pollutant Detection and Behavior in    the
    Atmosphere, William Licht, Alfred J. Engel, and Steven  H« Slater,
    eds.,     AIChE Symposium Series, American Institute of Chemical
    Engineers, Vol. 75, No. 188, 136-144, 1979.  R. G. Everett, B.B.
    Hicks, W. H. Berg, and J.fe. Winchester, An analysis of particulate
    sulfur and lead gradient data collected at Argonne National
    Laboratory, Atmospheric Environment, 13, 931-934, 1979.     R.
    Ferek, S.E. Bauuan, J. W. Winchester, E.T. Williams, and H.L.
    Finston,   Sulfur in  aerosol versus wind direction in New York City
    and nearby rural  site, paper presented at 2nd International
    Conference on Particle Induced  X-ray Emission and its  Analytical
    Applications, Lund, Sueden, June 9-12,   1980; Nuclear  Instruments
    and Methods, in press, I960. Douglas R. Lauson and John H.
    Winchester, Sulfur and crystal reference     elements in nonurban
    aerosols from Squaw Mountain, Colorado, Environmental Science and
    Technology, 12, 716-721, 1978.   A.C.D. Leslie, H.J. Annegarn, J.H.
    Winchester, and H.M.  Nelson, Verticle   profiles of sulfate aerosol
    concentration and particle size distribution   measured from light
    aircraft, in World Meteorological Organization Special
    Environmental Report No. 14, Papers presented at the WHO Technical
    Conference on Regional and Global Observation of Atmospheric


                             663

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                         Accession Ho.  6402000162     (cont)

Pollution     Relative to Climate, Boulder, CO, August 20-24, 1979;
HMO-No. 549, 141-148,     1980.     Alistair C.D. Leslie and John
W. Winchester, Particle induced X-ray   emission  applied to large
scale aerosol investigations, paper presented at the 177th     ACS
National Meeting and 38th National Meeting of the Chemical Society
of  Japan, April 1-6, 1979, Honolulu, HI.   Janes Q. Pilotte, John
W. Winchester, and J.W. Nelson, Components of lead  in the
atmosphere of St. Louis, Missouri, Journal of Applied Meteorology,
17, 627-635, 1978.  Shigeru fanaka, Yoshikazu Hashimoto, Michael
Oarzi, and John W. Winchester,     Sampling method and PIXE
analysis for atmospheric sulfur dioxide with alkali    coated
filters, paper presented at 2nd international Conference on
Particle     Induced X-ray Emission and its Analytical
Applications, Lund, Sweden, June 9-12, 1980; Nuclear Instruments
and Methods, in press, 1980.     R. Vie le Sage, W.H. Berg, S.L.
Cohn, J.W* Winchester, and J.W. Nelson,    Variation de la
composition chimique des aerosols atraospherigues en   fonction  du
temps, Pollution Atmospherique, 77, 6-16, 1978.     J.W.
Winchester, Aerosol sulfur in the eastern United States, in
preprints of the Environmental Chemistry Division, Am* Chem. Soc.,
national meeting, Miami, September 1978.   John W. Winchester, Long
term geochemical interactions of high active waste     with
crystalline rock repository media. Digest of paper presented at the
Symposium on Science Underlying Radioactive Waste Management,
Materials    Research Society, Boston, November 28-December 1,
1978.     John W. Winchester, Sulfate formation in urban plumes, in
Aerosols:   Anthropogenic and Natural, Sources and Transport,
Annals of the New York   Academy of Sciences, 338, Theo J. Kneip
and Paul J. Lioy, eds.,  297-308,  1980.     John W. Winchester, A
chemical model for sulfur dioxide oxidation in  sulfuric acid
droplets, Journal of Geophysical Research, submitted, 1980.  J.W.
Winchester, R.J. Ferek, D.R. Lawson, J.O. Pilotte, M.H. Thiemens,
and L.E. Wangen, Comparison of aerosol sulfur and crystal element
concentrations in particle size fractions from continental U.S.
locations, Water, Air, and Soil Pollution, 12, 431-440, 1979.
John W. Winchester, and J. William Nelson, Sources and transport of
trace  metals in urban aerosols, U.S. Environmental Protection
Agency Research    Report No. EPA-600/2-79-019, March 1979,
J.W. Winchester, J.W. Nelson, A.C.D. Leslie, M. Darzi, L.C.S.
Boueres,     and S.E. Bauman, Regional scale transport of fine
aerosol constituents     from urban air pollution in eastern North
America, paper presented at 14th International Symposium on
Atmospheric Pollution, Institut National de     Recherche Chimique
Appliquee, Paris, May 5-7, I960.    A.P. Moodard, Jr., B, Jensen,
A.C.d. Leslie, J.W. Nelson, J.W. Winchester, B.J. Ferek, and P. Van
Espen, Aerosol characterization by imp actor and     streaker
sampling and PIXE analysis, in Control of Emissions from
Stationary     Combustion Sources: Pollutant Detection and Behavior
in the Atmosphere,    William Licht, Alfred J. Sngel, and Steven M.
Slater, eds., AIChE Symposium     Series, American Institute of
Chemical Engineers, Vol. 75, No. 188,   226-229, 1979. George S.
Young and John W. Winchester, Association of non-marine sulfate


                         664

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                             Accession No.   6402000162     (cont)

    aerosol with sea breeze circulation in  Tarapa Bay,  Journal of
    Applied  Meteorology,  19, 419-425, I960.
    Printouts on request
(NUS)  Kureber of regular users of data base:  3
(USR)  Current regular users of data base:  EPA laboratories
    Florida State University
    Environmental Research Technology
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: Contractor
COST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: Florida State University:   Harris/3 and
    Harris/6   CDC Cyber 7600.  Microcomputer diskettes double density,
    dual sided.
(CHG)  Direct charge for non-CPA use: No
(OPCT)  Frequency of data base Blaster file  up-date: Terminated
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    Electrical Power Research Institute (EPRI) data   base collected by
    Environmental Research and Technology
(RDB)  Non-EPA data bases used in conjunction with this data base:  Meteo
    rological Data Base (National Oceanic and    Atmospheric
    Administration, U.S. Department of Commerce)
(CMP)  Completion of form:
    A.C.D. Leslie
    OFC: Department of Oceanography, Florida State University
    AD: Tallahassee, FL 32306
    PH: (904)644-3769
(DF)  Date of form completion: 02-25-83
(NMAT)  Number of substances represented in data base: 15
(NCAS)  Number of CAS registry numbers in data base: 12
(MAT)  Substances represented in data base:
    aluiinum<7429-90-5>                  phosphorus<7723-14-0>
    broaine<7726-95-6>                   potassium<7440-09-7>
    calcium                              silicon
    chlorine<7782-50-5>                  sulfur
    copper<7440-50-8>                    titanium<7440-32-6>
    iron<7439-89-6>                      vanadium<7440-62-2>
    lead<7439-92-l>                      zinc<7440-66-6>
    manganese<7439-96-5>
(CAS)  CAS registry numbers of substances included in  data base: 7429-90
    -5; 7726-95-6; 7782-50-5; 7440-50-8;   7439-89-6;  7439-92-1;
    7439-96-5; 7723-14-0; 7440-09-7; 7440-32-6;     7440-62-2;
    7440-66-6
(CNM)  Contact narae(s): Leslie/A.C.    ;    Winchester,J.If.
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and  Effects Rese
                             665

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                             Accession No.   6402000163

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model;  PEPE/NEROS Meteorological  Data
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model:  Air
(ABS)  Abstract/Overview of Data Base  or Model: In support  of the  1980
    PEPE/NEROS Field programs/ continuous     acquisition of  much  of
    the available conventional meteorological data in   North America
    uas conducted from July 15, to  August 15, 1980.   A  library of
    hard copy GOES satellite images also exists*   Most  importantly,  all
    digital     GOES IR and visible data can be analyzed using the
    MeIDAS Processing  System.   No pollutant parameters are  included
    in the data base*
(CTC)  CONTACTS:  Subject natter   Halt Lyons, Mesoraet,  inc.
    (312)263-5921  ;     Coraputer-relat
(DTP)  Type of data collection or monitoring: Combination/Other
(STA)  Data Base  status: Funded for development 03/00/81
(NPP)  Non-pollutant parameters included in the data base:  Precipitation
    ^Temperature  ;Wind direction ;Hind velocity ;GQES-East  IR and  visi
    digital and selected hard copy  ^conventional meteorological
    data-raw teletype and facsimile
(DS)  Time period covered by data base: 07-15-80 TO 08-15-80
(TRM)  Termination of data collection: Occurred 08/30/80
(FRQ)  Frequency  of data collection or sampling:  less than  hourly
    continuous
(NOB)  Number of  observations in data  base:  10000000.(Estimated)
(NED  Estimated  annual increase of observations in data base:  0.
(INF)  Data base  includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or  sources  covered in data  base: 300.
(NCS)  No. stations or sources currently originating/contributing  data:
    0.
(NQF)  Number of  facilities covered in data base (source monitoring):  0.
(GEO)  Geographic coverage of data  base: Geographic region  North
    America, East of 100 degrees west
(LOG)  Data elements identifying location of station or source include:
    Coordinates latitude and longitude ;maps
(FAC)  Data elements identifying facility include: N/A

-------
                             Accession No.   6402000163     (cont)

(PR1)  Primary purpose of data collection:  to provide supporting data
    for PEPE/NERO project
(AUT)  Authorization for data collection:  Statutory authorization is to
    support analyses for PEPE/NEROS project
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Unpublished
    reports Data catalogue
(NUS)  Number of regular users of data base: 5-10
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Research and Development
    EPA laboratories
(CNF)  Confidentiality of data and limits on access: No Units on
    access to data
(DLC)  Primary physical location of data:  Contractor
(DST)  Form of data storage: maps, hardcopy and discs
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Other Update
    ter«inated59
(RDBEPA)  Related EPA data bases used in conjunction uith this data base
    PEPE NEROS D6402000116, NEROS D6402000104
(ROB)  Non-EPA data bases used in conjunction uith this data base: McIDA
    system for meteorological data
(CMP)  Completion of form:
    Halt Lyons
    OFC: Mesomet, Inc.
    AD: 35 East Hackers Drive, Chicago, IL 60601
    PH: <312)263-5921
(DF)  Date of form completion: 02-14-83
(CUM)  Contact narae(s): Calby,R.  ;    Lyons,V.
(RQR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Processes and Effects Rese
                             667

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                             Accession No.   6402000164

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  St. Louis Aerosol Acidity Monitoring
(ACR)  Acronym of Data Base  or Model: SLAAM
(MED)  Media/Subject of Data Base or Model: Air ^Emissions  coal,  oil
(ABS)  Abstract/Overview of  Data Base or Model: Concentrations  of
    participate sulfur, light scattering coefficient, and charge.
    Also/ information related to aerosol acidity.
(CTC)  CONTACTS:  Subject natter   Jan Holloway, CAPITA/  Washington
    University, St.    }     Comp
(DTP)  Type of data collection or monitoring:  Ambient data collection
(STA)  Data Base  status: Operational/ongoing
(NPP)  Non-pollutant parameters included in the data base: Sampling
    date ;light scattering coefficient ;charge ;sampling tine
(DS)  Time period covered by data base: 07-01-77 TO 10-30-80
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: less than hourly  every
    15 minutes
(NOB)  Number of  observations in data base: 53000.(Estimated)
(RED  Estimated  annual increase of observations in data base:  17500.
(INF)  Data base  includes: Raw data/observations ^Summary aggregate
    observations
(NTS)  Total number of stations or sources  covered  in data base: 1.
(NCS)  No. stations or sources currently originating/contributing  data:
    1.
(NOF)  Number of facilities  covered in data base (source monitoring): 1.
(GEO)  Geographic coverage of data base: County/smaller  location St.
    Louis/ MO
(LQC)  Data elements identifying location of station or  source  include:
    N/A
(FAC)  Data elements identifying facility include:  N/A
(CDE)  Pollutant  identification data are: Uncoded
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Samplin
    g plan documented Collection method documented ;Analysis method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods?  NO
(PRE)  Precision: Precision  and accuracy estimates  exist but are not
    included in data base
(EOT)  Edltting:  Edit procedures used but undocumented.
(CBY)  Data collected by: Washington University
(ABY)  Data analyzed by: Dr. Geoffrey Cobourn, Washington University
(IDL)  Laboratory Identification: YES
(PR1)  Primary purpose of data collection:  Anticipatory/research
(AUT)  Authorization for data collection: No statutory requirement:
    Data collection requirement is    to assess local aerosol acidity.
(OMB)  Data collected/submitted using OMB-approved  EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Publications
    JGR 85/ 4487-4404, (1980) ATM.  Envir. 12,  89-98/    (1978)
(NUS)  Number of regular users of data base: 5
(CNF)  Confidentiality of data and limits on access: No  limits  on
    access to data
(DLC)  Primary physical location of data: Contractor


                             668

-------
                             Accession No.   6402000164
(cont)
COST)  Form of data storage:  Magnetic tape
(CHG)  Direct charge for non-EPA use: yesPI
(UPDT)  Frequency of data base master file up-date:  MonthlyhjQther
    terminated,
(CMP)  Completion of form:
    Jan Hollouay
    OFC: CAPITA, Washington University, St. Louis
    AD: CAPITA, Box 1185, Washington University,  St. Louis,  HQ 63130
    PH: (314)889-6029
(OF)  Date of form completion: 10-31-80
(NMAT)  Number of substances represented in data  base:  12-02-82
(MAT)  Substances represented in data base:
    particulate sulfur
(CNN)  Contact name(s): Hollouay,J.    ;    Hollouay,J
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Processes and Effects Rese
                             669

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                             Accession No.   6402000165

(DQ)  Date of Questionaires  12-02-82
(NAM)  Name of Data Base of  Model:  Steubenville,  Ohio Monitoring  of
    Aerosol Acidity
(ACR)  Acronym of Data Base  or Model:  SQMAA
(MED)  Media/Subject of Data Base or Model: Air  ;Emissions   coal,  oil
CABS)  Abstract/Overview of  Data Base or Modeli  Concentrations of
    participate sulfur, light scattering coefficient,   and charge.
    Also information related to aerosol acidity.
(CTC)  CONTACTS! Subject matter   Jan Holloaav,  CAPITA,  Washington
    University, St.    }     Corap
(DTP)  Type of data collection or monitoring:  Ambient data  collection
(STA)  Data Base status: Operational/ongoing
(NPP)  Non-pollutant parameters included in the  data base:  Sampling
    date ;light scattering ^charge ^sampling time
(DS)  Time period covered by data base: 05-01-80  TO 10-30-80
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling:  less than  hourly  every
    15 minutes
(NOB)  Number of observations in data base: 5000.(Estimated)
(NEI)  Estimated annual increase of observations  in data base: 12000.
(INF)  Data base includes: Raw data/observations  ;Summary aggregate
    observations
(NTS)  Total number of stations or sources  covered  in data  base:  1.
(NCS)  No. stations or sources currently originating/contributing data:
    1.
(NOF)  Number of facilities  covered in data base  (source monitoring): 1*
(GEO)  Geographic coverage of data base: County/saaHer  location
    Steubenville, Ohio
(LOC)  Data elements identifying location of station or  source include:
    N/A
(FAC)  Data elements identifying facility include:  N/A
(CDE)  Pollutant identification data are: Uncoded
(DPR)  Data collect./anal, procedures conform to  ORD guidelines:  Samplin
    g plan documented ^Collection method documented
(AND  Lab analysis based on EPA-approved or accepted methods? NO
(PRE)  Precision: Precision and accuracy estimates  exist but are  not
    included in data base
(EDT)  Edit ting: Edit procedures used but undocumented*
(CBY)  Data collected by: Washington University
(ABY)  Data analyzed by: Dr. Geoffrey Cobourn, Washington University
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Anticipatory/research
(AUT)  Authorization for data collection: No statutory  requirement:
  >  Data collection requirement is    to assess  local aerosol acidity.
(OMB)  Data collected/submitted using OMB-approved  EPA  reporting  forms:
    QQ
(REP)  Form of available reports and outputs of  data base:  Publications
    JGR 85, 4487-4404,(1980)Atra.Envir.12,89-98,(1978)
(NUS)  Number of regular users of data base: 5
(CNF)  Confidentiality of data and limits on access: No  limits on
    access to data
(DLC)  Primary physical location of data: Contractor


                             670

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                             Accession No.   6402000165
(cont)
(DST)  Form of data storage: Magnetic tape
(CHG)  Direct charge for non-EPA use: yesPI
(UPDT)  Frequency of data base master file up-date: Monthlyh;0ther
    terminated,
(CMP)  Completion of form:
    Jan Hollouay
    OFC: CAPITA, Washington University, St. Louis
    AD; CAPITA/ Box 1135 Washington University, St. Louis, HO 63130
    PH: 0314)889-6029
(DF)  Date of fora completion: 10-31-80
(NMAT)  Number of substances represented in data base: 12-02-82
{MAT)  Substances represented in data base:
    sulfur
(CNM)  Contact narae
-------
                             Accession No.   6402000166

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  National Weather Service  Data
(ACR)  Acronym of Data Base  or Model:  HIS&PAR
(MED)  Media/Subject of Data Base or Model: Air ;Qther  Heather
    observations
(ABS)  Abstract/overview of  Data Base  or Model: Meteorological
    parameters recorded at 3 hour intervals since     approximately
    1948 at 250 NWS sites. (Alruays Surface Observations)/   Obtained
    from U.S. Department of  Commerce,  National Climatic Center. No
    pollutant   parameters included*
(CTC)  CONTACTS: Subject matter   Jan  Hollouay, CAPITA/ Washington
    University/ St.    ;     Corap
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Operational/ongoing
(NPP)  Non-pollutant parameters included in the data base: Sampling
    date ^Temperature ;Wind  direction  ;Uind velocity >sno« ; sleet
    ;obstructions to vision  ;ceiling height ;visibility ;deu point ;
    relative humidity ;sea level pressure ^station pressure  ;sky
    condition ;   sky cover  ;cloud layers ;thunderstorm ;rain
(DS)  Time period covered by data base: 07-01-48 TO 06-30-80
(TRM)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: daily
(NOB)  Number of observations in data  base: 300000000.(Estimated)
(NED  Estimated annual increase of observations in data base: 11000000.
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources covered in data base: 250.
(NCS)  No. stations or sources currently originating/contributing data:
    250.
(NOF)  Number of facilities  covered in data base (source monitoring): 0.
(GEO)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or source include:
    State ;City Coordinates >WBAN site number
(FAC)  Data elements identifying facility include; N/A
(LlM)  Limitation/variation  in data of which user should be  auare: Natio
    nal Climatic Center procedures used for data quality  control
    purposes
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision  and accuracy estimates are  not available
(EOT)  Editting: Edit procedures used  and documented.
(CBY)  Data collected by: Other federal agency National Climatic
    Center/National  Oceanic and Atmospheric
(ABY)  Data analyzed by: CAPITA-grantee (Washington University/  St.
    Louis/ MO)
(PR1)  Primary purpose of data collection:  Trend assessment
(PR2)  Secondary purpose of  data collection: Anticipatory/research
(AUT)  Authorization for data collection: No statutory  requirement:
    Data collection requirement is    to obtain background information
    for CAPITA research
(OMB)  Data collected/submitted using  OMB-approved EPA  reporting forms]
    QQ
(REP)  Form of available reports and outputs of data base: Publications
    Historical Visibility over the Eastern U.S.    EPA-600/3-80-043


                             672

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                             Accession Ho.   6402000166     (cont)

    Machine-readable raw data
(NUS)  Number of regular users of data base: unknown
(USR)  Current regular users of data base!  Other federal agencies
    CAPITA/ University of Washington/ St.  Louis
    National Oceanic and Atmospheric Adeinistration/D. S. Department of
    Commerce
{CNF)  Confidentiality of data and Units on access: No limits on
    access to data
(DLC)  Primary physical location of data:  Contractor
(DST)  Form of data storage: Magnetic tape
(CHG)  Direct charge for non-EPA use: yesPI
(UpDT)  Frequency of data base master file up-date: Monthlyh;0ther
    Update terminated
(CHp)  Completion of form:
    Jan Holloway
    OFC: CAPITA/ Washington University/ St. Louis
    AD: CAPITA, Box 1135, Washington University/ St. Louis/ MO 63130
    PH: (314)889-6029
(DF)  Date of form completion: 10-31-80
(CSM)  Contact name{s): Hollouay/J.    ;    Hollouay/J.
(ROR)  Responsible Organization: Office of Research and
    Development.Qffi.ee of Environmental Processes and Effects Rese
                             673

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                             Accession No.   6402000167

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  SOLMET Solar Radiation
(ACR)  Acronym of Data Base or Model:  SOLMST
(MED)  Media/Subject of Data Base or Model;  Air
(ABS)  Abstract/Overview of Data Base or Model: Solar radiation and
    meteorological parameters recorded hourly at 27  sites.   Obtained
    from U.S. Department of Commerce/  National Climatic    Center.   No
    pollutant parameters Included in the data base.
(CTC)  CONTACTS:  Subject matter   Jan HoIloway, CAPITA, Washington
    University/ St.    ;     Cotnp
(DTP)  Type of data collection or monitoring: Ambient data  collection
(STA)  Data Base  status: Discontinued
(NPP)  Non-pollutant parameters included in  the data base:  Sampling
    date ^temperature jWind direction ;Hind  velocity ;deu point ;
    clouds ;snou  cover ;extraterrestrial radiation jdirect  radiation ;
    diffuse radiation ;net radiation ;global radiation }observed data |
    standard year data ;engineering corrected data ;Minutes of sunshine
    I ceiling height ;sky condition ;visibility ;thunderstorm ;rain ;
    snow ;sleet ;obstructions to vision ;sea level pressure ;station
    pressure
(DS)  Time period covered by data base: 01-01-52 TO  12-30-75
(TRM)  Termination of data collection: Occurred 03/30/78
(FRQ)  Frequency  of data collection or sampling: hourly
(NOB)  Number of  observations in data base:  100000000.(Estimated)
(NEI)  Estimated  annual increase of observations in  data base: 0.
(INF)  Data base  includes: Raw data/observations
(NTS)  Total number of stations or sources covered in data  base: 27.
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(ROF)  Number of  facilities covered in data  base {source monitoring): 0.
(CEO)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or source include:
    HBAR number
(FAC)  Data elements identifying facility include: N/A
(LIM)  Limitation/variation in data of which user should be aware:  Natio
    nal Climatic  Center procedures used for  data quality   assurance
    purposes.
(AUD)  Lab Audit: Data not based on lab analysis.
(PRS)  Precision: Precision and accuracy estimates are not  available
(EOT)  Editting:  No known edit procedures exist.
(CBY)  Data collected by: Other federal agency National Climatic
    Center/National  Oceanic and Atmospheric
(ABY)  Data analyzed by: CAPITA-grantee (Washington  University, St.
    Louis, MO)
(PR1)  Primary purpose of data collection: Trend assessment
(PR2)  Secondary  purpose of data collection: Anticipatory/research
(AUT)  Authorization for data collection: No statutory requirement:
    Data collection requirement is    to obtain background  for CAPITA
    research
(OMB)  Data collected/submitted using QMS-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  On-line


                             674

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                             Accession No.   6402000167     (cont)

    computer
(NUS)  Number of regular users of data base:  2 offices
(OSR)  Current regular users of data base:  Other federal agencies
    CAPITA, University of Washington, St. Louis
    National Oceanic and Atmospheric Admlnistraticn/U.S. Department of
    Commerce
(CNF)  Confidentiality of data and limits on access:  No limits on
    access to data
(OLC)  Primary physical location of data: Contractor
(OST)  Form of data storage: Magnetic tape
(CHG)  Direct charge for non-EPA use: yesPI
(UPDT)  Frequency of data base master file  up-date: Other terminatednive
(CMP)  Completion of form:
    Jan Hollouay
    OFC: CAPITA, Washington University, St. Louis
    AD: CAPITA, Box 1185, Washington University, St.  Louis, MO 63130
    PH: (314)889-6029

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                             Accession So.   6402000168

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model: USHB Hourly Precipitation
(ACR)  Acronym of Data Base or Model: PRECIP
(MSD)  Media/Subject of Data Base or Model:  Air ;Cther  precipitation
(A8S)  Abstract/Overview of Data Base or Model: Hourly, daily,  and
    monthly precipitation for about 2,500 sites   for the year  1977.
    Obtained from the U.S.  Department of Commerce, National
    Climatic Center*  Ho pollutant parameters are included in the  data
    base.
(CTC)  CONTACTS:  Subject raatter   Jan Ho How ay, CAPITA, Washington
    University, St.    ;     Comp
(DTP)  type of data collection or monitoring: Ambient data collection
(STA)  Data Base  status: Discontinued

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                             Accession No.  6402000168
(cont)
(DLC)  Primary physical location of data: Contractor

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                             Accession No.   6402000169

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  North American Upper Air
(ACR)  Acronym of Data Base  or Model:  UPPERAIR
(MED)  Media/Subject of Data Base or Model:  Air ;Other radiosonde
    observations
(ABS)  Abstract/Overview of  Data Base  or Model: Twice dally  wind and
    temperature radiosonde observations for      about 120 sites in
    North America for January 1974-May 1978.  Obtained from  U.S.
    Department of Commerce,  National Climatic Center.  No pollutant
    parameters are included.
(CTC)  CONTACTS: Subject matter   Jan  Holloway, CAPITA, Washington
    University/ St.    ;     Comp
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Discontinued
(NPP)  Son-pollutant parameters Included in  the data base: Temperature
    ;Wind direction ;Wind velocity ;pressure
(OS)  Time period covered by data base: 01-01-74 TO 05-30-78

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                             Accession Ho.  6402000169
(cont)
    access to data
(DLC)  Primary physical location of data:  Contractor

-------
                             Accession No.   6402000170

(DQ)  Date of Questionaire: 12-02-82
(MAM)  Name of Data Base of Model:  Morld Meteorological Organization
    Data
(ACR)  Acronym of Data Base or Model; WHO
(MED)  Media/Subject of Data Base or Model:  Air ;Other Heather
    observations
(A8S)  Abstract/Overview of Data Base or Model: World Meteorological
    Organization {HMO} turbidity and  meteorological parameters for
    1972-1975*  WHO synoptic land meteorologleal parameters  for August,
    1977.  Obtained from U.S.  Departaent of Commerce, National
    Climatic Center.  No pollutant  parameters are included  In the  data
    base.
(CTC)  CONTACTS: Subject matter   Jan Hollouay, CAPITA, Washington
    University, St.    /     Comp
(DTP)  type of data collection or monitoring:  Ambient data collection
(STA)  Data Base status: Discontinued
(NPP)  Non-pollutant parameters included in  the data base: Temperature
    jHlnd direction ;fefind velocity ;observed turbidity ;  computed
    turbidity ;air mass ;visibility ^obstructions  to vision  ;     dew
    point ;sky cover ;weather >sea level pressure  >clouds
    ^precipitation
COS)  Time period covered by data base: 08-00-77  ;     01-01-72 TO
    12-30-75
(TRH)  Termination of data collection: Occurred 07/30/79
(FRQ)  Frequency of data collection or sampling: dally ^monthly ;0ther
    daily:  synoptic-8/day ;0ther turbidity:  on cloudless day
(NOB)  Number of observations in data base:  100000000.(Estimated)
(NEI)  Estimated annual increase of observations in  data base: (N/A. )
(INF)  Data base includes: Ran data/observations ;computed turbidity
(NTS)  Total number of stations or sources covered in data base:  110
    (turbidi ty,)1500(synop tic.)
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(HOP)  Number of facilities covered in data  base (source monitoring): 0.
(GEQ)  Geographic coverage of data base: International
(LOC)  Data elements identifying location of station or source include:
    State ;City ^Coordinates turbidity >state/county/clty: turbidity }
    HMO block number
(FAC)  Cata elements identifying facility include: N/A
(LIM)  Linitation/variatlon in data of which user should be  aware;  Morld
    Meteorological Organization data quality assurance    procedures
    were used.
(AOD)  Lab Audit: Data not based on lab analysis.
(P&S)  Precision: Precision and accuracy estimates are not available
(EOT)  Edltting: No known edit procedures exist.
(CBY)  Data collected by: World Meteorological Organization
(ABY)  Data analyzed by: CAPITA, University  of Washington, St. Louis,
    MO
(AUT)  Authorization for data collection: Ho statutory requirement:
    Data collection requirement is    to obtain background information
(OMB)  Data collected/submit ted using OMB-approved EPA reporting forms:
    QQ


                             680

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                             Accession So.   6402000170     (cont)

(REP)  Form of available reports and outputs of data base:  Machine-reada
    ble raw data
(NUS)  Number of regular users of data base: 1 office
(OSR)  Current regular users of data base:  CAPITA* University of
    Washington/ St. Louis, HO
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: Contractor
(DST)  Form of data storage: Magnetic tape
(CHG)  Direct charge for non-EPA use: yesPl
(UPDT)  Frequency of data base master file up-date:  Other terninatednive
(CMP)  completion of form:
    Jan Hollouay
    OFC: CAPITA/ Washington University, St. Louis
    AD: CAPITA, Box 1185 Washington University, St.  Louis,  MO 63130
    PH: (314)889-6029
(DF)  Date of fora completion: 10-31-80
(CNM)  Contact nane(s): Hollouay,J.    ;    Hollouay,J.
(ROR)  Responsible Organization: Office of Research and
    Development*Office of Environmental Processes and Effects Rese
                             681

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                             Accession  No.   6402000171

(DQ)  Date of Questionaire:  12-02-82
(HAM)  Name of Data Base of  Model:  Northern Hemisphere  Octagonal  Grid
    Data
(ACR)  Acronym of Data Base  or  Model: NMCGRID
(MED)  Media/Subject of Data Base or Model: Air ;0their  grid  analysis
(ABS)  Abstract/Overview of  Data Base or Model:  47  x 51 grid covering
    the Northern Hemisphere  containing      analyses of  about 20
    meteorological parameters from  the  national Meteorological Center/
    U.S. Air Force/ U.S. Navy and 433L  ESSPO project.   Obtained  from
    the National Center for  Atmospheric Research.   No pollutant   data
    is included.
(CTC)  CONTACTS: Subject matter   Jan Hollonay, CAPITA/ Washington
    University/ St.    ;     Comp
(DTP)  Type of data collection  or monitoring: Combination/Other grid
    analysis
(STA)  Data Base status: Discontinued
(NPP)  Non-pollutant parameters included in the data base: Temperature
    ;Wind direction jaind velocity  ;geopotential height % vertical
    velocity isurface pressure  >den point ;sea level pressure ;   cloud
    cover /relative humidity ;sea surface temperature jtotal
    precipitation ;  snow depth
(DS)  Time period covered by data base: 01-01-74 TO 12-30-74
(TRM)  Termination of data collection:  Occurred 12/30/79
(NOB)  Number of observations in data base: 40000grlds.(Estimated)
(NEI)  Estimated annual increase of observations in data base: 0.
(INF)  Data base includes: gridded  values
(NTS)  Total number of stations or  sources covered  in data base:  9580000
    0.
(NCS)  No, stations or sources  currently originating/contributing data:
    0.
(NOF)  Number of facilities  covered In  data base (source monitoring): 0.
(CEO)  Geographic coverage of data base: International
(LOG)  Data elements identifying location of station or source include:
    Coordinates 47 x SI grid
(FAC)  Data elements identifying facility Include:  It/A
(LiM)  Limitation/variation  in  data of  yhich user should be  aware:  Natlo
    nal Center for Atmospheric  Research protocols were     used for
    data quality control purposes.
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision  and accuracy estimates  are  not available
(EOT)  Editting: No known edit  procedures exist.
(CBY)  Data collected by: Other federal agency U.S. Air Force; U.S.
    Navy ^National Meteorological Center
(PR1)  Primary purpose of data  collection: Trend assessment
(PR2)  Secondary purpose of  data collection: Anticipatory/research
(AUT)  Authorization for data collection: No statutory  requirement:
    Data collection requirement is    to obtain background data for
    CAPITA research
(OMB)  Data collected/submitted using OMB-approved  EPA  reporting  forms:
    QQ
(REP)  Form of available reports and outputs of data base: Machine-reada
    ble raw data


                             6B2

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                             Accession No.   6402000171     (cont)

(NUS)  Number of regular users of data base: 1 office
(USR)  Current regular users of data base:  CAPITA, University of
    Washington, St. Louis, MQ
(CNF)  Confidentiality of data and limits on access: Ho limits on
    access to data
(DLC)  Primary physical location of data: Contractor
(DST)  form of data storage: Magnetic tape
(CHG)  Direct charge for non-EPA use: yesPI
(UPDT)  Frequency of data base master file  up-date: Other update
    terminatedty
(CMP)  Completion of form:
    Jan Holloway
    OFC: CAPITA, Washington University, St. Louis
    AD:  CAPITA, Box 1185, Washington University, St. Louis, MO 63130
    PH: (314)889-6029
(DF)  Date of form completion: 10-31-80
CCNM)  Contact name(s): Holloway/J.    ;    Hollouay,J,
(ROR)  Responsible Organization: Office of  Research and
    Development,Office of Environmental Processes and Effects Rese
                             683

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                             Accession No.   6402000172

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Karae of Data Base of Model: Federal  Electric Regulatory
    Commission
(ACR)  Acronym of Data Base or Model: FERC
(MED)  Kedia/SubJect of Data Base or Model: Other electric generation
(ABS)  Abstract/overview of Data Base or Model:  Monthly electric
    generation and consumption at about 1,500  plants/   from January
    1970 through March 1978.  Monthly electric revenue and income at
    about 200 plants, from January 1975 through December 1977.
    Information was obtained from the Federal Electric Regulatory
    Commission.  No     pollutant data is Included in the data base.
(CTC)  CONTACTS: Subject matter   Jan Holloway,  CAPITA, Washington
    University, St.    ;     Corap
(DTP)  Type of data collection or monitoring: Combination/Other
    electric generation, consumption, revenue, and  income.
(STA)  Data Base status: Discontinued
(NPP)  Ron-pollutant parameters included in the data base: Industry
    ;electric generation ;electric consumption jelectric revenue ;
    kilowatt hours >dollars ;electric income
(DS)  Time period covered by data base: 01-01-70 TO 03-30-78
CTRM)  Termination of data collection: Occurred 05/30/78
(FRQ)  Frequency of data collection or sampling: monthly
(NOB)  Number of observations in data base: 1700000.(Estimated)
(NEI)  Estimated annual Increase of observations in data base: 0.
(INF)  Data base includes: Summary aggregate observations
(NTS)  Total number of stations or sources  covered in data base: 1500.
(NCS)  No. stations or sources currently originating/contributing data:
    0-
(NOF)  Number of facilities covered in data base (source monitoring): 15
    00.
(GEO)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or source include:
    State ^company number
(FAC)  Data elements identifying facility include: Plant facility name
    ;Plant location ;Program identifier
(LIM)  Limitation/variation in data of which user should be aware: Data
    is not coded.  No laboratories were Involved in the    data
    analysis.
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Samplln
    g plan documented
(ADD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision and accuracy estimates are not available
(EOT)  Editting: Ho known edit procedures exist.
(CBY)  Data collected by: Self reporting ;0ther federal agency Federal
    Electric Regulatory Commission
(ABY)  Data analyzed by: CAPITA, Washington University, St. Louis, MO
(PR1)  Primary purpose of data collection:  Trend assessment
(PR2)  Secondary purpose of data collection: Anticipatory/research
(AUT)  Authorization for data collection: No statutory requirement:
    Data collection requirement is    to gain background data for
    CAPITA research
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:


                             684

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                             Accession Ho.   6402000172     (cont)

    Federal Electric Regulatory Commission Form
(REP)  Form of available reports and outputs of data base:  Machine-reada
    ble raw data
(NUS)  Number of regular users of data base: 1 office
(OSR)  Current regular users of data base:  CAPITA, University of
    Washington, St. Louis, MO
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: Contractor
(DST)  Form of data storage: Magnetic tape
(CHG)  Direct charge for non-EPA use: yesPI
(UPDT)  Frequency of data base master file up-date: Other terminatednlve
(CMP)  Completion of form:
    Jan Hollouay
    OFC: CAPITA, Washington University, St. Louis
    AD; CAPITA, Box 1185, Washington University, St. Louis, MO 63130
    Pfl3 (314)889-6029
(DF)  Date of form completion: 10-31-80
(CNM)  Contact narae(s): Hollouay,J.    ;    Holloway/J.
(ROR)  Responsible Organization: Office of Research and
    Development.Offlee of Environmental Processes and Effects Rese
                             685

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                             Accession No.   6402000173

 Plots rates ; Geographic  subdivision 7  Location
    ^Physical data jPrecipitation ^Salinity ^Temperature %  ueather
    I inorganic parameters ^organic parameters ;radlo chemical
CDS)  Time period covered by data bases 01-01-50 TO 12-30-77
CTRM)  Termination of data collections Occurred 05/30/79
(FRQ)  Frequency of data collection or sampling: Other ten day samples
(NOB)  Number of observations in data bases  901305.(Actual)
(HEX)  Estimated annual increase of observations in data base: 
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                             Accession No.   6402000173
                  Ccont)
    U.S. Geological Survey
(CNF)  Confidentiality of data and limits on access:  No limits on
    access to data
(DLC)  Primary physical location of data:  Contractor
(DST)  Form of data storage:  Magnetic tape
(CHG)  Direct charge for non-EPA use; yesPI
(UPDT)  Frequency of data base master file up-date: Other  terminatednive
(CMP)  Completion of forms
    Jan Holloway
    QFC: CAPITA, Washington University/  St. Louis
    AD: CAPITA, Box 1185
    Washington University/ St. Louis/ MO 63130
    PH: (314)889-6029
(DF)  Date of form completion: 10-31-80
(NHAT)  Number of substances represented in data base:  180
(NCAS)  Number of CAS registry numbers in data base:  76
(MAT)  Substances represented in data base:
    DCPft
    DDE
    DEF
    DNQC
    Ecerium? 144
    0/P'DDD
    0/P'DDE
    P/P'DDE
    P/P"DDT
    PCN
    TEPP
    acidity
    adenosine triphosphate
    aldicarb<116-06-3>
    aldrin<309-00-2>
    alkalinity
    allethrin
    alpha
    argon
    aroclor
    bacteria
    beta
    bicarbonate
    biochemical oxygen demand
    butane
    calcium
    calcium 45
    carbon
    carbon dioxide
    cesium
    cesium 134
    chemical oxygen demand (COD)
    chloride
chlorophyll
chlorothion
cinerin
cobalt 60
coliforms
dicotol
dilan
ethane
fluoride
gallium
gamma chlordane
germanium
gross beta
hardness
hydrogen
imidan
iodine
iron 59
isodrin<465-73-6>
lead 210
magnesluB
manganese 54
methane
methyl trithion
ffiethylene blue
octane gas
pentane gas
periphyton
phenols
phosdrin
phosphate
potassium 40
prometone
proraetryne
propane gas
                             687

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                         Accession No.   6402000173
                  (cont)
propham
rhodamine
rubidium
ruthenium 106
salinity
scandium 46
sediment
selenium 75
sevin
silica
silver 110
simetryne
sodium carbonate
streptococci
strontium
sultate
sulfide
sulfite
sulfur 35
tannin
thiocyanate
thorium 232
tin
total oxidizable carbon
total volatile solids
trithion
zinc 65
zirconium
2,4,5-trichlorophenoxyacetic acid
   (T)<93-76-52
alurcinumC? 429-90-5>
antimony<7440-36-0>
arsenic<7440-38-2>
atrazine<1912-24~9>
barium<7440-39-3>
beryllium<7440-41-7>
bismuth corapounds<7440~69-9>
boron corapounds<7440-42-8>
cadffiium<7440-43-9>
cesium 137<10045-97-3>
chlordane<57-74-9>
chlorlne<7782-50-5>
chlorobenz ilate<510-15-6>
chromium<7440-47-3>
cobalt<7440-48-4>
copper<7440-50-8>
cyanide<57-12-5>
ddd(tde)
ddt
demeton<8065-48-3>
diazinon<333-4l-5>
dieldrin<60-57-l>
dissolved oxygen
dissolved solids
endosulfan<115-29-7>
endrin<72-20-8>
ethion<563-12-2>
formaldehyde<50-00-0>
gross alpha
guthion<86-50-0>
heptachlor epoxide<1024-57-3>
heptachlor<76-44~8>
hexachlorobenzene<118-74-l>
hydrogen suit ide<7783-06-4>
lron<7439-89-6>
lead<7439-92-l>
lindane<58-89-9>
lithium and cospounds<7439-93-2>
aalathion<121-75-5>
raanganese<7439-96-5>
Mercury <7439-97-6>
fflethomyl
»ethoxychlor<72-43-5>
methyl parathioiK 296-00-0>
mirex<2385-85-5>
molybdenum and compounds
   <7439-98-7>
naphthalene<91-20-3>
nickel<7 440-0 2-0>
nitrogen<7727-37-9>
oil and grease
parathion<56-38-2>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   
perthane<72-56-0>
phosphorus<7723-14-0>
polychlorinated biphenyls (PCBs)
potassiuo<7440-09-7>
pyrethrin<121-29-9>
radium 226<13982-63-3>
radium 228<15262-20-1>
                         688

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                             Accession No.   6402000173     (cont)

    selenium<7782-49~2>                  titanium<7440-32-6>
    silver<7 440-22-4>                    toxaphene<8001-35-2>
    silvex<93-72-l>                      tritiura<10028-17-8>
    simazine<122-34-9>                   turbidity
    sodium<7440-23-5>                    uranium<7440-61-l>
    strontium 89<14158-27-l>             vanadium<7440-62-2>
    strontium 90<10098-97-2>             zinc<7440-66-6>
    suspended solids
(CAS)  CAS registry numbers of substances included in data base:  116-06-
    3;  309-00-2;  465-73-6;  93-76-5;   7429-90-5; 7440-36-0; 7440-38-2;
    1912-24-9; 7440-39-3; 7440-41-7;     7440-69-9; 7440-42-8;
    7440-43-9; 10045-97-3;  57-74-9; 7782-50-5;      510-15-6;
    7440-47-3; 7440-48-4; 7440-50-8; 57-12-5; 8065-48-3;   333-41-5;
    60-57-1; 115-29-7; 72-20-8; 563-12-2; 50-00-0; 86-50-0;
    1024-57-3; 76-44-8; 118-74-1; 7783-06-4; 7439-89-6; 7439-92-1;
    58-89-9; 7439-93-2; 121-75-5; 7439-96-5; 7439-97-6; 16752-77-5;
    72-43-5; 298-00-0; 2385-85-5; 7439-98-7; 91-20-3? 7440-02-0;
    7727-37-9; 56-38-2; 12674-11-2; 11104-28-2; 11141-16-5; 53469-21-9;
    12672-29-6; 11097-69-1; 11096-82-5; 72-56-0; 7723-14-0; 7440-09-7;
    121-29-9; 13982-63-3; 15262-20-1; 7782-49-2; 7440-22-4; 93-72-1;
    122-34-9; 7440-23-5; 14158-27-1; 10098-97-2; 7440-32-6; 8001-35-2;
    10028-17-8; 7440-61-1;  7440-62-2; 7440-66-6
(CNM)  Contact narae(s): Holloway/J.    ;    Hollotay/J.
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Processes and Effects Rese
                             689

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                             Accession No.   6402000174

(DQ)  Date of Questionaire:  12-02-82
(NAM)  lame of Data Base of Model: National Air Surveillance Network
(ACR)  Acronym of Data Base or Model:  NASN
(MED)  Media/Subject of Data Base or Model: Air
(ABS)  Abstract/Overview of Data Base or Model: Pollutant
    concentrations of up to 33 parameters at up to 2,500   sites,
    recorded bimonthly: January 1955-Deceraber 1976.  Sulfate (S04),
    Nitrate     (N03)     and ammonium are  the major available
    parameters—all others are reported   infrequently*
(CTC)  CONTACTS: Subject matter   Jan Holloway, CAPITA/  Washington
    University, St*    ;     Corap
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Discontinued
(NPP)  lion-pollutant parameters included in the data base: Collection
    method ;Location ;Sampling date ;Test/analysis method
(DS)  Time period covered by data base: 01-01-55 TO 12-30-76
(TRM)  Termination of data collection: Occurred 01/30/7B
CFRQ)  Frequency of data collection or sampling: Other bimonthly
(NOB)  Number of observations in data base: 2000000.(Estimated)
(NET)  Estimated annual increase of observations in data base: 0.
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data base:  1350.
(NCS)  No. stations or sources currently originating/contributing  data:
    0.
(NOF)  Number of facilities covered in data base (source monitoring): 0.
(GEO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source include:
    State ^Project identifier jarea coded jSIC code jagency
(FAC)  Data elements identifying facility Include: N/A
(CDE)  Pollutant identification data are: Saroad parameter
(LIM)  Limitation/variation in data of which user should be aware:  Data
    quality assurance procedures are unknown
CPRE)  Precision: Precision and accuracy estimates are not available
(EOT)  Editting: No known edit procedures exist.
(CBY)  Data collected by: Other federal agency unknown
(ABY)  Data analyzed by: CAPITA, Washington University,  St. Louis,  MO
(IDL)  Laboratory Identification: 80
(PR1)  Primary purpose of data collection:  Trend assessment
(PR2)  Secondary purpose of data collection: Anticipatory/research
(AUT)  Authorization for data collection: No statutory requirement:
    Data collection requirement is    to gather background research on
    concentration
(QMS)  Data collected/submitted using OMB-approved EPA reporting  forms:
    QQ
(REP)  Form of available reports and outputs of data base: Machine-reada
    ble raw data
(NUS)  Number of regular users of data base: 1 office
(USR)  Current regular users of data base:  CAPITA, University of
    Washington, St. Louis, MO
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: Contractor


                             690

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                             Accession Mo.   6402000174
(cont)
(DST)  Form of data storage:  Magnetic tape
(CHG)  Direct charge for non-EPA use: yesPI
(UPDT)  Frequency of data base master file up-date:  Other terrainatednive
(CMP)  Completion of form:
    Jan Hollouay
    OFC: CAPITA, Washington University, St. Louis
    AD: CAPITA, Box 1185, Washington University,  St. Louis,  MO 63130
    PH: (314)889-6029
(DF)  Date of form completion: 10-31-80
(NMAT)  Number of substances represented In data  base:  3
(NCAS)  Number of CAS registry numbers in data base: 12-02-82      1
(MAT)  Substances represented in data base:
    arcraonium                             sulfate
    nitrate<14797-55-8>
(CAS)  CAS registry numbers of substances Included in data base:  14797-5
    S-8
(CNM)  Contact name(s): Hollouay,J.    ;    Hollohay/J.
(ROR)  Responsible Organization: Office of Research and
    Development. Off ice of Environmental Processes and Effects Rese
                             691

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                             Accession No.   6402000175

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Climatological  Data  -  National
    Summary
(ACR)  Acronym of Data Base  or Model:  CDNS
(MED)  Media/Subject of Data Base or Model:  Air  >0ther  Climatological
    data
(ABS)  Abstract/Overview of  Data Base  or Model:  An annual summary  of
    surface data, storm data, and flood data    for  the  United  States
    published by the U.S. Department of Commerce/  National   Climatic
    Center*  Ho pollutant data is included  in the  data  base.
(CTC)  CONTACTS: subject matter   Jan  Holloway,  CAPITA, Washington
    University, St.    ;     Comp
(DTP)  Type of data collection or monitoring: Combination/Other  summary
    of weather data for a particular year.
(STA)  Data Base status: Discontinued
(NPP)  Hon-pollutant parameters included in the  data base: Temperature
    ;Wind velocity ^precipitation ;sunshine ;relative humidity ;
    clouds ^tornadoes ;funnel clouds ^hailstorms ^windstorms  ;eyeIonas
    i  hurricanes ;typhoons  ;flood losses ;flood damage
(DS)  Time period covered by data base: 01-01-50 TO 12-30-78

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                             Accession No.  6402000175     (cont)

    Washington, St.  Louis, Mo
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: Contractor
(DST)  Form of data storage:  Microfich/film
(CHG)  Direct charge for non-EPA use: yesPI
(UPDT)  Frequency of data base master file up-date: Other update
    terninatedty
(CMP)  completion of form:
    Jan Hollouay
    OFC: CAPITA, Washington University, St. Louis
    AD: CAPITA, Box 1185, Washington University, St. Louis, MO 63130
    PH: (314)889-6029
(OF)  Date of form completion: 10-31-80
(CNM)  contact naroe(s): Holloway, J.    ;    flollovay/J.
(RQR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Processes and Effects Rese
                             693

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                             Accession Ho.   6402000176

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Blue Hill Observatory,  HA
    Meteorological Data
(ACR)  Acronym of Data Base or Model:  BLUSHILL
(MED)  Media/Subject of Data Base or Model: Air lOther meteorological
    data
(ABS)  Abstract/Overview of Data Base  or Model! Meteorological  record
    at Blue Hill, Massachusetts, of dally Heather observations  from
    October 21> 1884 through Deceaber  3, 1958.  Obtained from O.S.
    Department of Commerce, National .Climatic Center.   Ho   pollutant
    data included.
(CTC)  CONTACTS:  Subject matter   Jan  Hoiloway, CAPITA, Washington
    University, St.
(DTP)  Type of data collection or monitoring; Ambient  data collection
(STA)  Data Base status: Discontinued
(NPP)  Non-pollutant parameters included in the data base: Precipitation
    ;Sampling date ^Temperature ;«ind  direction jWind  velocity  ?
    pressure ;humidity ;ueather ^clouds ;de« point ^visibility
(OS)  Time period covered by data bases 10-01-1884 TO  12-30-58
(TRH)  Termination of data collection: Occurred 11/30/79
(FRQ)  Frequency of data collection or sampling: daily j Other 2 or  3
    observations/day
(MOB)  Number of observations in data  base; 1000000.(Estimated)
(NEI)  Estimated annual Increase of observations in data base:  (N/A.)
(INF)  Data base includes: Ran data/observations ^Reference
    data/citations
(NTS)  Total number of stations or sources covered in  data base:  1.
(NCS)  No. stations or sources currently originating/contributing data:
    0-
(NOF)  Number of facilities covered in data base fsource monitoring):  0.
(GEO)  Geographic coverage of data base: County/smaller location Blue
    Hill, MA
(LOC)  Data elements identifying location of station or source  include;
    State ;City ^Coordinates Latitude/Longitude
(LIM)  Limitation/variation in data of which user should be aware:  Data
    is not coded.
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision and accuracy estimates are not available
(SDT)  Edittingj No known edit procedures exist*
(CBY)  Data collected bys Blue Hill Observatory, HA
(ABY)  Data analyzed by: Other federal agency National Climatic
    Center/National Oceanic and Atmospheric Administration/0.,S.
    Department of Commerce
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collections  Trend assessment
(PR2)  Secondary purpose of data collection: Anticipatory/research
(AUT)  Authorization for data collection: No statutory requirement:
    Data collection requirement is    trend assessment
(OMB)  Data collected/submitted using  QMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Microfilm
(NUS)  Number of regular users of data base: 1 office


                             694

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                             Accession No-   6402000176      (cont)

(USR)  Current regular users of data base:  CAPITA?  University of
    Washington, St. Louis, MO
(CNF)  Confidentiality of data and limits on access?  No limits on
    access to data
(DLC)  Primary physical location of data: Contractor
(DST)  Form of data storage; Microfich/film
(CHG)  Direct charge for non~EPA uses yesAP
(UPDT)  Frequency of data base master file  up-date! Other update
    terminated!!
(CMP)  Completion of forms
    Jan Hollouay
    OFC! CAPITA, Washington University, St. Louis
    AD: CAPITA, Box 1185, Washington University,  St.  Louis,  MO 63130
    PHs {314)889-6029
(DF)  Date of form completions 10-31-80
(CUM)  Contact narae(s): Holloaay,j«
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects Rese
                             695

-------
                             Accession No.   6402000177

(OQ>  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Lost Horizons
(ACR)  Acronym of Data Base or Model:  LO-HO
(MED)  Media/Subject of Data Base or Model: Air
(ABS)  Abstract/Overview of Data Base or Model: Data is from short
    duration/ field measurement programs.  Usual  measurements include
    particle scattering/ absorption optical extinction    coefficients/
    and fine particle mass.  For some periods particle size was
    measured.
(CTC)  CORTACTS:  Subject matter   Alan Waggoner  (206)543-2044
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base  status: Operational/ongoing
(NPP)  Non-pollutant parameters included in the data base: Location
    ;Sampling date
(DS)  Time period covered by data base; 06-01-72 TO 09-30-80
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency  of data collection or sampling: Other variable
(NOB)  liumber of  observations in data base: 10000.(Estimated)
(HEI)  Estimated  annual Increase of observations in data base: 500*
(INF)  Data base  includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data base:  20.
(NCS)  $o« stations or sources currently originating/contributing data:
    0,
(NOF)  Number of  facilities covered in data base (source monitor^..g).  <
    /A.)
(GEO)  Geographic coverage of data base: International
(LOG)  Data elements identifying location of station or source Include;
    N/A
(FAC)  Data elements identifying facility Include: S/A
(CDS)  Pollutant  identification data are: Oncoded
(LIM)  Limitation/variation in data of which user should be aware: One
    or two measurement series per year; raw data is not easily
    accessible.  Data quality control procedures not applicable.
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision and accuracy estimates are not available
(EDT)  Editting:  Ho known edit procedures exist.
(CSV)  Data collected by: grantee:   University of Washington
(ABY)  Data analyzed by: grantee:  University of Washington
(PR1)  Primary purpose of data collection:  Anticipatory/research
(PR2)  Secondary  purpose of data collection: Special study
(AUT)  Authorization for data collection: No statutory requirement:
    Data collection requirement is    to relate pollution sources to
    impact on visual air quality.
(OMB)  Data collected/submitted using OMB-approved EPA reporting  forms:
    QQ
(REP)  Form of available reports and outputs of data base: Unpublished
    reports Pacific Northwest Air Quality Measurements
(BUS)  Number of  regular users of data base: None at this time
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: Contractor
(DST)  Form of data storage: Some tape/ some hardcopy-varles by time


                             696

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                             Accession No.   6402000177     (cont)

    period
(CHG)  Direct charge for non-EPA use: Ho  2
(UPDT)  Frequency of data base master file  up-date:  Semi-annually
(CMP)  Completion of form:
    Alan Waggoner
    OFC: Department of Civil Engineering,  FC-05
    AD: University of Washington, Seattle,  Washington Qfli95
    PHS (206)543-2044
(DF)  Date of fora completion: 10-07-80
(NMAT)  Number of substances represented in data base: 12-02-82
(MAT)  Substances represented In data base:
    particle extinctioncoefficients
(CNM)  Contact name(s): Waggoner,A
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects Rese
                             697

-------
                             Accession No.   6402000178

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Project  State/Tennessee  Plume Study
(ACR)  Acronym of Data Base or Model: STATE/TPS
(MED)  Media/Subject of Data Base or Model: Air ;£ffluents  coal-fired
    power plants ;Emissions  coal-fired power plants
(ABS)  Abstract/Overview of Data Base or Model: Data pertain to sulfur
    transport and transformations in Tennessee     Valley Authority
    (TVA) power plants plumes.  CONTENTS: Plant operation and stack
    sampling data; ambient and in plume chemical data from  aircraft and
    ground (stationary and mobile)  platforms; tracer (SF6 and tetroons)
    release     and tracking data,  meteorological data from aircraft/
    ground vehicles/     meteorological towers/ pibal and rauinsonde
    soundings; boundary layer and  plume structure and dynamics based
    on airborne and ground lidar/ sodar;    local/terrain data and
    maps.
(CTC)  CONTACTS: Subject matter   Dr. Moor  Gillani/ CAPITA/ Washington
    University;     Computer-
CD TP)  Type of data collection or monitoring: Combination/Other Ambient
    and in-plume data
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances represented in  Data Base: 7 criteria NAAQS
(NPP)  Non-pollutant parameters included in the data base:  Chemical
    data ;Collection method Concentration  measures ;Elevation ;
    Location ;Physical data ;Sampling date  ;Slte description
    ;Temperature ;    Test/analysis method  ;Hind direction  ;Nind
    velocity
(DS)  Time period covered by data base: 8-2-78 TO 8-28-83
(TRM)  Termination of data collection: Not  applicable
(FRQ)  Frequency of data collection or sampling: This was a special
    field study.  The various platforms collected  data at  intervals
    varying between (1/20) seconds  and (6 hours).
(NOB)  Number of observations in data base: approximately
    5000000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: (N/A.)
(INF)  Data base Includes: Raw data/observations ;Summary aggregate
    observations ;Processed and reduced dat reports/ publications/ etc.
(NTS)  Total number of stations or  sources  covered in data  base: 16
    (stacks.)
(NCS)  No. stations or sources currently originating/contributing data:
    (N/A.)
(NOF)  Number of facilities covered in data base (source monitoring): 4
    (power plants.)
(GEQ)  Geographic coverage of data base: Geographic region  Kentucky and
    Tennessee
(LOC)  Data elements identifying location of station or source include:
    Coordinates latitude and longitude ;VOR/DME/ALT in aircraft
(FAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant identification data are: Other coding scheme
    Uncoded
(LIM)  Limitation/variation in data of which user should be aware: Data
    base pertains to a special field study  carried out in  August 1978
    for a specific purpose (sulfur  transport and transformation)   in


                             698

-------
                             Accession No,   6402000178     (cont)

    specific TVA power plant plumes.   In general/  an observation  is one
    complete scan of all measured parameters in any given platform*,
(DPR)  Data collect./anal,  procedures conform to ORD guidelines:  Samplin
    g plan documented ^Collection method documented ^Analysis method
    document QA procedures  documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? NO
(AUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates documented to
    varying  degrees in hard copy reports of individual data-ell acting
    organizations.   These  reports are included in data base.
(EOT)  Editting: Edit procedures used and documented.
(CSV)  Data collected by: EPA lab Environmental Sciences Research
    Labs-Research  Triangle Park, NC  and Las Environmental Measurement
    Inc. (EMI) Meteorological Research     Inc. (MRI), Research
    Triangle Institute (RTI)/ Sandia/ Stanford Research   Institute
    (SRI) Department of Energy (Brookhaven National Lab)/ National
    Oceanic and Atmospheric Adrainstration,  Tennessee Valley Authority.
    ;  California Institute of Technology Pennsylvania State
    University ;   University of Minnesota ;Washington University
(ABY)  Data analyzed by: EPA lab Environmental Sciences Research  Labs/
    Research Triangle Park/ NC and Las Vegas NV
    Sandia/ Stanford Research     Institute (SRI)
    Other federal agency Department of Energy; National Oteanic     and
    Atmospheric     Administration; Tennessee Valley Authority
    Pennsylvania State University
    University of Minnesota
    Washington University
(IDL)  Laboratory identification: YES
(AUT)  Authorization for data collection: So statutory requirement:
    Data collection requirement is to research  sulfur in the
    atmosphere; sponsored by the Regional Field   Studies Office/
    Environmental Sciences  Research Lab-Research Triangle Park/ NC
(OMB)  Data collected/submitted using OMB-approved EPA reporting  forms:
    QQ
(REP)  Form of available reports and  outputs of data base:
    Printouts on request
    Machine-readable raw data
    On-line computer
    Magnetic tapes and data voluraesf   Schierraeier F. A. et al. "STATE:
    A major EPA research program"/  Bulletin of A,M.S. 60 (11),
    1303-1312.  2.Ching J.K.S. et al.    "Temporal behavior of vertical
    profiles of turbulence parameters and their relevance to elevated
    point source dispersion," paper presented at the     Symposium on
    Plumes and Visibility,  Grand Canyon/ Arizoniaj Nov. 10-14,    1980,
    B.Clarke J.F. et al«     "Lagrangian-Snlerian scale relationships
    and plume dispersion in  the  Tennessee Plume Study/" Atmospheric
    Environment 15/ 2273-2282 (1981)   4.Forrest J. et al. "Conversion
    rates in power plant plumes based on filter pack data. Part I. The
    coal-fired Cumberland Plume/" Atmospheric Environment 15/2273-2282
    (1981)    and Visibility, Nov. 1980.    S.Cillani N.V. et al.
    "Gas-to-partIcle conversion of sulfur In power plant plumes:  I
    Parametrization     of the conversion rate for dry/ moderately


                             699

-------
                             Accession No.   6402000173     (cont)

    polluted ambient conditions*"   Atmospheric Environmen 15,
    2273-2314 (1981)  6.Gillanl N.V, and Wilson M.E.
    "Gas-to-particle conversion of sulfur in power plant plumes.  II
    Observations   of liquid phase conversions/1' Atmospheric
    Environment 17 (in press)   7.Gillarri  N.V. and Wilson W.E.
    HGas-to-particle conversion of   sulfur in pover plant plumes*
    parameterization of plume-cloud    interactions"/ Atmospheric
    Environment 17 (in press).   S.Ludwig F. et al.  "Lidar and sodar
    measurements in support of  the STATS program," paper presented at
    the Symposium on Plumes and Visibility, Nov. 1980.  9.McELoy J.L.
    et al.      "Airborne dounlooking lidar  measurements during STATE
    78,"  Atmospheric Environment 15, 2223-2230 (1981).     10.Warner
    T«T. "Verification of a Three-dimensional transport model  using
    tetroom data from Project STATE11/ Athraopheric Environment 15,
    2219-2222  11. Wilson W.E. "Sulfate formation in point-source
    plumes: A review    of recent field studies", Atymospheric
    Environment 15, 2573-2581.       Unpublished reports; Printouts on
    request; Machine-readable raw data On-line computer; magnetic  tape
    and data volumes!?
(NUS)  Number of regular users  of data base: 20 organizations
(USR)  Current regular users of data base:  EPA laboratories
    Other federal agencies
    contractors
    grantees
    research scientists
(CNF)  Confidentiality of data  and limits on access: Ho limits on
    access  to data
(DLC)  Primary physical location of data: Special Studies Data Center
    located at CAPITA,     Box  1185 Washington University, St. Louis,
    NO  63130
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: STATE Data Access software and complete
    data format
(CHG)  Direct charge for non-EPA use: Yes
(UPDT)  Frequency of data base  master file  up-date: Once a year.
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    MISTT (D6402000108 and D6402000107) PEPE/NEROS    (D6402000163 and
    06402000104)
(CMP)  Completion of form:
    Noor Gillani
    OFC: CAPITA, Washington University/ St. Louis
    AD: CAPITA, Box 1185, Washington University, St. Louis, «0 63130
    PH: (314)889-6079
(DF)  Date  of form completion:  03-07-83
(NMAT)  Number of substances represented in data base: 10
(NCAS)  Number of CAS registry  numbers in data base: 5
(MAT)  Substances represented in data base:
    hydrocarbons                         ozone<10028-15-6>
    nitric  acid<7697-37-2>               participate sulfur
    nitric  oxide<10102-43-9>             sulfur dioxide<7446-09-5>
    nitrogen dioxide<10102-44-0>         total nitrates
    nitrogen oxides                      sulfur hexafluoride


                             700

-------
                             Accession No.  6402000178     (cont)

(CAS)  CAS registry numbers of substances included in dat? 1 -S'-  7697-37
    -2; 10102-43-9; 10102-44-0?       10028-15-6J 7446-09-a

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                             Accession So.

(DQ)  Date of QuestionaireS  12-02-82
(NAM)  Waffle of Data Base of  Model; Effluent Guidelines GC/MS Screening
    Analysis Data Base
(ACR)  Acronym of Data Base  or Model:  HISLIB
(MED)  Media/Subject of Data Base or Model: Effluents industrial,
    publicly otmed treatment works (PQTIO
CABS)  Abstract/Overview of  Data Base or Models  this data base contains
    those compounds found by  computer analysis  of Gas
    Chromatographlc/Mass Spectrometric (GC/MS)  data collected In
    Effluent Guidelines Division's    screening  analysis of 21
    industrial categories and publicly owned treatment aorks (POT%ls).
    Each entry is a tentative   identification by computer matching of
    raass spectra in the  raw data with a reference library.  Tentative
    identifications    are listed without regard for any of the
    chemical lists.  Any    or all of the organic compounds amenable to
    GC/MS analysis  may be present.
(CTC)  CONTACTS: Subject matter   tf.M. Shackelford  (404) 546-3186,?
    Computer-related  D.M. C
(DTP)  Type of data collection or monitoring:  Point source data
    collection industrial and municipal Haste  treatment
(STA)  Data Base status! Operational/ongoing
(NPP)  Non-pollutant parameters included in the  data base? Chemical
    data yDischarge points >Industry ;Sampling  date ^Treatment devices
    ;    analysis parameters /analytical laboratory ^sampling team
(DS)  Time period covered by data bases 09-01-77 TO 12-30-80
(TRM)  Termination of data collection: 09/30/81
(FRQ)  Frequency of data collection or sampling: as needed
(NOB)  Number of observations in data bases 56000.(Actual)
(NEI)  Estimated annual Increase of observations in databases 0.
(INF)  Data base includes3 Raw data/observations
(NTS)  Total number of stations or sources  covered in data bases 3000.
(NCS)  No. stations or sources currently originating/contributing  data:
    3000.
(I90F)  number of facilities covered in data base (source monitoring):  30
    0.
(GEO)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or source include:
    N/A
CFAC)  Data elements identifying facility includes Effluent Guidelines
    Division Industrial Category number
(CDE)  Pollutant identification data are: CAS  registry number
(LlM)  Limitation/variation in data of which user should be aware: Data
    is tentative pending confirmation by    chemical analysis.
    Effluent Guidelines Division must approve    any release of data.
(DPR)  Data collect./anal, procedures conform to CRD guidelines: Saraplin
    g plan documented ?Collection method documented ^Analysis method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precisions Precision and accuracy estimates exist but are not
    included in data base
(EOT)  Editting: Edit procedures used and documented.


                             702

-------
                             Accession No,   6404000109     (cont)

(CBY)  Data collected by:  Regional office Surveillance and Analysis
    Divisions,  Regions II, IV,  VII ^Contractor lab 10 labs
(ABY)  Data analyzed by:  EPA lab Environmental Research
    Laboratory-Athens, GA
(IDL)  Laboratory identification: YES
(PRl)  Primary  purpose of data  collection:  Development of  regulations
    or standards
(AUT)  Authorization for  data collection: No statutory requirement:
    Data collection requirement is    1976  Consent Decree
COMB)  Data collected/submit ted using GMB-approved EPA reporting forms;
    QQ
(RSP)  Form of  available  reports and outputs of data base: Printouts on
    request
(NOS)  Number of regular  users  of data base: 2 offices
(USR)  Current  regular users of data base:  EPA headquarter offices
    Effluent Guidelines Division
    EPA laboratories
(CMP)  Confidentiality of data  and limits on access: Limits on access
    Hi thin EPA  and outside agency for some   data

       0-20-6>                            l,2-dichloropropane<78-87-5>
    l/l,l-trichloroethane<71-55-6>       l,2-diph«nylhydrazine<122-66-7>
    1,1,2,2,-tetrachloroethane            1,2-trans-dlchloroethylene
       <79-34-5>                            <156-60-5>
    l,l,2-trlchloroetraane<79-00-5>       l,3-dichlorobenzene<541-73-l>
    l,l,2-trichloroethene<79-01-6>       l,4-dichlorobenzene<106-46-7>
    l,l-dichloroethane<75-34-3>          l,4-dioxane<123-91-l>
    l,l-dichloroethylene<75-35-4>        l-chloro-2,3-epoxypropane
    l,2,4,-trichlorobenzene<120-a2-l>       <106-89-8>
    1,2,4,5-tetrachlorobenzene            2,2-dichloroproplonic acid
       <95-94-3>                            <75-99-0>
    l,2-dibroiaoethane<106-93-4>          2,3,4,6-tetrachlorophenol<58-90-2>
    l,2-dichlorobenzene<95-50-l>         2,4,5-trichlorophenol<95-95-4>


                             703

-------
                         Accession No.  6404030109
                  (cont)
2,4,6-trichlorophenol<88-06-2>
2f4-d esters
2,4-dichlorophenol<120-83-2>
2/4-dichlorophenoxyacetic acid <2,
   4-dX94-75-7>
2, 4-diioethylphenol<105-67-9>
2,4-dinitrophenol<51-28-5>
2,4-dinitrotoluen«<121-14~2>
2,6-dlchlorophenol<87-65-0>
2,6-dinitrotoluene<606-20-2>
2-chloroethylvinyl ether<110-75-8>
2-chloronaphthalene<91-58-7>
2-chlorophenol<95~57-8>
2-naphthylamine<91-59-8>
2-nitrophenol<88-75-5>
2-picoline<109-06-8>
3j.3--dichlorobenzidine<91-94-l>
4,6-dinitro-o-cresol<534-52-l>
4-broroophenyl phenyl ether
   <101»55-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
7,12~dim€thylbenz( a) anthracene
   
acenaphthene<83-32-9>
acenaphthylene<208~96-8>
acetaldehyde<75-07-0>
acetic acid<64-!9-7>
acetone<67-64-l>
acetophenone<98-86-2>
acrolein<107-02-8>
aldrin<309-00-2>
alpha-chlorotoluens<100-44-7>
amyl acetate<628-63-7>
aniline<62-53-3>
anthracene<120-12-7>
atrazine<1912-24-9>
benzene<71-43-2>
benzenethiol<108-98-5>
benzidine< 92-87-5>
benzot a)anthracene<56-55-3>
benzo(aJpyrene<50-32-8>
benzo(g,hj- i)perylene<191-24-2>
benzo(k)fluoranthene<207-08-9>
benzole acid<65=85«0>
benzonitrile<100-47-0>
benzyl chloride<100-44-7>
bhc (lindane)-garama<58-89-9>
bhc-delta<319-86-8>
biphenyl<92-52-4>
bis<2-chloroethoxy)me thane
bis(2-chloroethyl)ether
bis(2-chloroisopropyl)ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
broraodichloromethane<75-27-4>
bromoo!ethane<74-83-9>
butyl acetate<123-86-4>
butyl benzyl phthalate<85-68-7>
butyric acid<107-92-6>
carbon disulfide<75-15-0>
chl or dane< 57-74-9>
chlorinated ethanes
chlorinated naphthalenes
chlorobenzene<108-90-7>
chlorodibromomethane<124-48-l>
chloroethane<75-00-3>
chloroethene<75-01-4>
chloroethyl vinyl ether<110-75-8>
chlorof orn<67~66-3>
chloromethane<74-87-3>
chloroprene<126-99-8>
chrysene<218-01-9>
cis-l,2-dichloroethylene<156-59-2>
crotonaldehyde<4170-30-3>
cuiaene<98-82-8>
cyanide<57-12-5>
cyclohexane<110-82-7>
cyclohexanone< 108-94- 1>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
di-n-propylnitrGsamine<621-64-7>
diazinon<333-41-5>
dibenzo(ajrh)anthracene<53-70-3>
dibenzof uraiK 132-64-9>
dibromochloromethane<124-48-l>
dibromomethane<74-95-3>
dibutyl phthalate<84-74-2>
dichlorobenzene<25321-22-6>
dichlorobromomethane<75-27~4>
dichloroaiethane<75-09-2>
dieldrin<60-57-l>
diethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
dinitrobenzene<25154-54-5>
dinitrotoluene<25321-14-6>
dioxane<123-91-l>
diphenyl ether
dlphenylhydrazine< 38622-1 8-3>
endrin<72-20-8>
                         704

-------
                             Accession No.   6404000109
                  (cont)
    eplchlorohydrin<106-69-8>
    ethyl acetate<141-78-6>
    ethyl acrylatc<140-88-5>
    ethyl chloride<75-00~3>
    ethyl ether<60-29-7>
    ethylbenzene
    ethylcyanide<107-12-0>
    ethylene dibromide 
    ethylene dichloride<107-06-2>
    fluorene<86-73-7>
    furfur al<98-01-l>
    heptachlor<76-44-8>
    hexachlorobenzeneCll8-74-1>
    hexachlorobutadiene<87-6B-3>
    hexachlorocyclohexane<58-89-9>
    hexachlorocyclopentadIene<77-47-4>
    hexachloroethane<67-72-l>
    indeno (1, 2, 3-cd)pyrene<193-39-5>
    iodomethane<74-88-4>
    isobutyl alcohol<78-83-l>
    isophorone<78-59-l>
    lsoprene<78-79-5>
    isosafrole<120-58-l>
    llndane<58-89-9>
    m-cresol<108-39-4>
    m-xylene<108-38-3>
    raethanethiol<74-93-l>
    raethyacrylonltrlle<126-98-7>
    methyl chloroform<71-55-6>
    methyl ethyl ketoiie (raek)<78-93-3>
    aethyl Isobutyl ketone<108-10-l>
    methyl nercaptan<74-93-l>
    methyl methacrylate<80-62-6>
    n-butyl alcohol<71-36-3>
    n-butyl phthalate<84-74-2>
    n-nltrosodl-n-propylamine
       <621-64-7>
    n-nitrosodiphenylamine<86-30-6>
    naphthalene<91-20-3>
    nicotine and salts<54-ll-5>
    nittobenzene<98-95-3>
    nitropheno1< 25154-55-6>
    nltrosomorpholine<59-89-2>
    o-cresol<95-48-7>
    o-raethoxyphenol
o-xylene<95-47-6>
p-chloro-ffl-cresol<59-50-7>
p-cresol<106-44-5>
p-dichlorobenzene<106-46-7>
P-nitroanllin«<100-01-6>
p-xylene<106-42-3>
pentachlorobenzene<608-93-5>
pentachlocoethane<76-01-7>
pentachlorophenol<87-86-5>
perchloroethylene<127-18-4>
phenacetin<62-44-2>
phenanthrene<85-01-8>
phenol<108-95-2>
phenylac«tic acid<103-82-2>
phthalic acid<88-99-3>
polychlorinated biphenyls (PCBs)
propanil<709-98-8>
propionic acid<79-09-4>
propionitrile<107-12-0>
pyrene<129-00-0>
pyridine<110-86-l>
quinollne< 91-2 2-5>
ronnel<299-84-3>
safrole<94-59-7>
simazine<122-34-9>
styrene
sulfur dioxide<7446-09-5>
terpenes
tetrachloroethene<127-18-4>
tetrachlotoethyiene<127-18-4>
tetrachloromethane<56-23-5>
tetrahydofuran<109-99-9>
toluene<108-88-3>
tribron!oa€thane<75-25-2>
trichloroethane<25323-89«l>
trichloroethene<79-01-6>
trichloroethylene<79-01-6>
trichlorofluoromethane<75-69-4>
trichlorophenol (TCP)<25167-82-2>
trlethylamine<121-44-a>
vinyl acetate<108-05-4>
vinyl chloride<75-01-4>
vinylidene chloride<75-35-4>
xylene<1330-20-7>
xylenol<1300-71-6>
(CAS)  CAS registry numbers of substances Included In data bases  630-20-
    6;  71-55-6?  79-34-5;  79-00-5;  79-01-6;       75-34-3}  75-35-4;
    120-82-1;  95-94-3; 106-93-4; 95-50-1; 107-06-2;    78-87*5;
    122-66-7;  156-60-5; 541-73-1;  106-46-7;  123-91-1; 106-89-8?
    75-99-0;  58-90-2; 95-95-4; 88-06-2;  120-83-2;  94-75-7? 10S-67-9;
    51-28-5;  121-14-2; 87-65-0;  606-20-2; 110-75-8? 91-58-7;  95-57-8;
    91-59-8;  88-75-5; 109-06-8?  91-94-1; 534-52-1; 101-55-3;  7005-72-3;
                             705

-------
                             Accession No.   6404000109     (cont)

    100-02-7;  57-97-6;  83-32-9;  208-96-8;  75-07-0; 64-19-7; 67-64-1;
    98-86-2;  107-02-8;  309-00-2; 100-44-7;  628-63-7; 62-53-3; 120-12-7;
    1912-24-9;  71-43-2; 108-98-5; 92-87-5;  56-55-3; 50-32-8; 191-24-2;
    207-08-9;  65-85-0;  100-47-0; 100-44-7;  58-89-9; 319-86-8; 92-52-4;
    111-91-1;  111-44-4; 39638-32-9;  117-81-7; 75-27-4; 74-83-9;
    123-86-4;       85-68-7; 107-92-6; 75-15-0; 57-74-9; 108-90-7;
    124-48-1;  75-00-3;      75-01-4;  110-75-8; 67-66-3; 74-87-3;
    126-99-8;  218-01-9; 156-59-2;    4170-30-3; 98-82-8; 57-12-5;
    110-82-7;  108-94-1; 84-74-2; 117-84-0;    621-64-7; 333-41-5;
    53-70-3;  132-64-9;  124-48-1; 74-95-3;  84-74-2;    25321-22-6;
    75-27-4;  75-09-2; 60-57-1; 84-66-2; 131-11-3; 25154-54-5;
    25321-14-6; 123-91-1;  101-84-8;  38622-18-3; 72-20-8; 106-89-8;
    141-78-6;  140-88-5; 75-00-3; 60-29-7;  100-41-4; 107-12-0; 106-93-4;
    107-06-2;  86-73-7;  98-01-1;  76-44-8; 118-74-1; 87-68-3; 58-89-9;
    77.47.4;  67-72-1; 193-39-5;  74-88-4; 78-83-1; 78-59-1; 78-79-5;
    120-58-1;  58-89-9;  108-39-4; 108-38-3;  74-93-1; 126-98-7; 71-55-6;
    78-93-3;  108-10-1;  74-93-1;  80-62-6; 71-36-3; 84-74-2; 621-64-7;
    86-30-6;  91-20-3; 54-11-5; 98-95-3; 25154-55-6; 59-89-2; 95-48-7;
    90-05-1;  95-47-6; 59-50-7; 106-44-5; 106-46-7; 100-01-6; 106-42-3;
    608-93-5;  76-01-7;  87-86-5;  127-18-4;  62-44-2; 85-01-8; 108-95-2;
    103-82-2;  88-99-3;  709-98-8; 79-09-4;  107-12-0; 129-00-0; 110-86-1;
    91-22-5;  299-84-3;  94-59-7;  122-34-9;  100-42-5; 7446-09-5;
    127-18-4;        127-18-4; 56-23-5; 109-99-9; 108-88-3; 75-25-2;
    25323-89-1; 79-01-6;       79-01-6; 75-69-4; 25167-82-2; 121-44-8;
    108-05-4;  75-01-4;  75-3S-4;    1330-20-7; 1300-71-6
       Contact narae(s): Shackelford,tf.M.    ;    Cline/O.M.;
    Shackeiford/W.M.
(ROR)  Responsible Organization: Office of  Research and
    Development.Offlee  of  Environmental Processes and Effects Rese
                             706

-------
                             Accession No.   6404000110

(DQ)  Date of Questionaire: 12-02-82
(NAN)  Name of Data Base of Model:  Distribution Register Of  Organic
    Pollutants In Hater
(ACR)  Acronym of Data Base or Model:  HDROP
(MED)  Media/Subject of Data Base or Model: Drinking water ^Effluents
    Industrial and municipal (treated  and untreated) ;     Ground water
    /Surface water Rivers,, lakes, and  canals
(ABS)  Abstract/overview of Data Base  or Model: Hater DROP contains
    information about organic     compounds that have been identified/
    as water pollutants,   as reported in the open scientific
    literature/ EPA research reports/  and laboratory reports.  When
    available/ data elements are:  chemical narae(s)/ Chemical Abstracts
    Service Registry Number, molecular weight/ molecular formula/
    sampling site/ date and technique/ analytical method/
    concentration/ analytical laboratory/ data source document/ and
    data reliability index.  Data can  be retrieved     from  the
    computerized data base by using any one or combinations  of these
    data elements*
(CTC)  CONTACTS: Subject matter  Wayne Garrison (404)546-3453;
    Computer-related  Rudy Potenzone  (202) 245-3027 ;  EPA Office
    Ann Alford (404) 546-3525y#
(DTP)  Type of data collection or monitoring: Combination/Other All
    types of data collection reported  in source documents
(STA)  Data Base status: Operational/ongoing
(NPP)  Non-pollutant parameters included in the data base: Chemical
    data jCollectlon method ^Concentration measures ;Location j
    Sampling date ;Test/analysis method ^Document used  as data source ;
    Reliability index ;Name of laboratory that analyzed sample
(DS)  Time period covered by data base: 01-01-61 TO 12-30-79
(TRM)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: Other  As new
    information becomes available
(NOB)  Number of observations in data  base: 10500(Actual)
(NED  Estimated annual Increase of observations in data base: (depends
    on future)(funding)
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources covered in data base:  (N/A)
(NCS)  No. stations or sources currently originating/contributing data:
    (N/A)
(NOF)  Number of facilities covered in data base (source monitoring): (N
    /A)
(GEO)  Geographic coverage of data base: International
(LOC)  Data elements identifying location of station or source include:
    State ;Clty ;Town/township
(FAC)  Data elements identifying facility include: Plant location
(CDE)  Pollutant identification data are: CAS registry  number
(LIM)  Limitation/variation in data of which user should be  aware: Done
(DPR)  Data collect./anal, procedures  conform to ORD guidelines:  Collect
    ion method documented ^Analysis method documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? NO
(ADD)  Lab Audit: Data not based on lab analysis.


                             707

-------
                             Accession Ho.   6404000110      (cont)

(PRE)  Precision:  Precision and accuracy estimates are  not  available
(EOT)  Editting:  Edit procedures used and documented.
(CSV)  Data collected by:  Contractor lab Midwest Research Institute
CABY)  Data analyzed by:  Contractor lab Fein-Marguart Associates
(IDL)  Laboratory  identification: ¥ES
(P81)  Primary purpose of  data collection:  Development  of regulations
    or standards
(PR2)  Secondary  purpose  of data collection:  Risk assessment
(AUT)  Authorization for  data collection: No statutory  requirement:
    Data collection requirement is    to serve needs of other EPA
    offices for this kind  of information
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data bases  On-line
    computer
(MUS)  Number of  regular  users of data base:  1000
(USR)  Current regular users of data base:  EPA headquarter  offices Many
    offices
    EPA laboratories
    Other federal  agencies
    Subscribers to EPA/NIH Chemical Information System
(CNF)  Confidentiality of  data and limits on access: Mo limits on
    access to data
(DLC)  primary physical location of data; Contractor
(DST)  Form of data storage: Magnetic disc
(CAC)  Type of data access: EPA software EPA/NIH Chemical Information
    System  MIDS:  JEPA hardware DEC POP 10
(CHG)  Direct charge for  non-EPA use: yes
(UPDT)  Frequency  of data  base master file  up-date: Other Updated when
    data and funds are available*
(RSS)  Related EPA automated systems which  use data base: All other
    components of  the EPA/NIH     Chemical  Information  System
(RDBEPA)  Related  EPA data bases used in conjunction with this data  base
    All other components  of the EPA/NIH     Chemical Information System
(CMP)  Completion  of form:
    Wayne Garrison^    OFC: ORD/Athens Environmental Research
    Laboratory
    AD: Athens, 6A 30613
    PH: (404) 546-3543
(DF)  Date of form completion: 01-25-83
(NMAT)  Number of  substances represented in data base:  1456
(NCAS)  Number of  CAS registry numbers in data base: 857
(HAT)  Substances  represented in data base:
    (1,l-dimethylethyl)-benzene<         -<3734-49-4>
       98-06-6>                          .alpha.-amlno  acids
    (l-methylpropyl)-benzene<135-98-8>   .alpha.-chlordane
    (3.beta.,5.beta)-chlorestan-3-ol     .alpha.-d-glucoisosaccharinic acid
       <360-68-9>                         « alpha.-d-glucometasaccharinic
    (phthalocyaninato(2~l))copper           acid
       <147-14-8>                         .alpha.-ketomargarlc acid
    (z)-9-hexadecenoic acid<373-49-9>    .alpha.-ketononadecanoic acid
                                         .alpha.-methyl palmitic acid


                             708

-------
                         Accession No.   6404000110
                  (cont)
 alpha.-methyl stearlc acid
 alpha.-methyl-benzenereethanol
   <98-85-l>
 alpha*-naphthol
 alpha.-phellandrene
 alpha.-pinene
 alpha.-terpineol
 beta.-d-glucoisosaccharinic acid
 beta.-phellandrene
 beta.-pinene
 delta.-3-carene
 gamma.-chlordane
 ,1'-biphenyl, 2-raethyl-<643-58-3>
 ,l--biphenyl, 3,3*,4,4'/5,5*-
   hexamethyl-<56667-01-7>
 , l*-biphenyl, 3,3*,4,4*-tetraiaeth
   yl-<4920-95-0>
 ,l--biphenyl, 3,4*-dimethyl-
   <7383-90-6>
 ,l--biphenyl, 3-methyl-<643-93-6>
 ,1"-methylenebis-benzene
1, l'-methylenebisE4-isocyanatocycl
   ohexane )<68758-61-2>
\f 1 *-oxy bis- 2-pr op anol
l,l*-oxybis-benzene<101-84-8>
1,1 '-oxybisbutane<142-96-l>
If 1 '-sulf onylbisbenzene<127^63-9>
1/1/1/2-tetrachloroethane
   <630-20-6>
If If If 3f 3f 3-hexach loro-2-p rop anone
l,l,l-trichloroethane<71-55-6>
l/l,2/2/-tetrachloroethane
   <79-34-5>
l/l,2-trichloroethene<79-01-6>
If 1,2-trichloroethylene
If l,2-trimethyl-3-phenylindan
1,1/4/5,5, 8-hexamethyl-s-hydrindal
   ene
l/l-bis
1/12-benzperylene
l/2/3/4/4a/9,10/10a-octahydro-l,
   4a-diraethyl-7-(l-methylethyl)-
   1-phaenanthre
If 2,3, 4,5, 7, 7-heptachlo 1, 2, 3, 4-
   tetrahydronaphthalene<119-64-2>
1,2,3/4-tetramethylbenzene
   <488-23-3>
1/2/3/5-tetraraethylbenzene
   <527-53-7>
1,2,3-propanetriol, triacetate
   <102-76-l>
l,2,3-trichloro-propane<96-18-4>
1,2,3-triraethyl-l-phenyllndan
l,2,3-triniethylbenzene<526-73-8>
l*2,4,-trichlorobenzene<120-82-l>
1,2,4,5-tetramethyl-benzene
   <95-93-2>
1,2,4-trimethyl-benzene
1/2-benezenedlcarboxylic acid,
   monobutyl ester<131-70-4>
1,2-benzenedicarboxylic acid,
   bls(2-methylpropyl) ester
   <84-69-5>
1,2-benzenedicarboxylic acid,
   dicyclohexyl ester<84-61-7>
1,2-benzenedicarboxylic acid,
   dlhexyl est 1,2-benzenedicarbox
   yllc
   acid, diisodecyl ester
   <26761-40-0>
1,2-benzenedicarboxylic acid,
   diisooctyl ester<27554-26-3>
1,2-benzenedicarboxylic acid,
   dipropyl e
   1,2-benzisothiazo1-3(2h)-one,
   2-methyl-,
   l,l-dioxide<15448-99-4>
1/2-benzisothiazole, 3-»ethoxy-
   <40 1,2-benzisothiazole
   <272-16-2>
l,2-dlchlorobenzene<95-50-l>
l,2-dichloroethane<107-06-2>
lr2-dichloroethene<540-59-0>
l,2-dichloropropane<78-87~5>
l,2-dichloropropylene<563-54-2>
1/2-dihydro-raethylacenaphthylene
1,2-dimethoxy-4-{2-propenyl)-
   benzene<93-15-2>
l,2-diHiethoxy-ben2ene<91-16-7>
l/2-diinethyl-3-(l-niethyl-l-
   ethenyl)-l-cyclopentanol
l,2-epoxy-3-phenoxypropane
   <122-€0-1>
l,2-epoxy-4,5,6,7,8,8a-hexachloro-
   .alpha.-dicyclopentadiene
l,2-ethanediol<107-21-l>
l,3,3-trireethyl-2»oxabicycloC2«2.2
   )octane<470-82-6>
                         709

-------
                         Accession No.  6404000110
                                                     Ccont)
l,

1*
l,

1/
1,
1,

l,
1,
If
l,
l,
3,5-trichloro-2-methoxy-benzene
 <87-40-l>
3/5- trichlorophenol
3,S-trinethyl-2s4,6-trioxohexahy
 drotriazine
3/5- triraethylybenzen«<108-67-8>
3,6-octatriene, 3, 7-dimethyl-
 <13877-91-3>
3-bIs{methylethyl)-benzene
 <99-62-7>
3-butadiene, 2-chloro-, diraer
 <14523-89-8>
3-butanediol<107-88-0>
3-cyclopentadiene<542-92-7>
3-dichloropropene<542-75-6>
3?-diethenyl-benzene<108-57-6>
3-diethylbenzene<141-93-5>
3-dioxolane, 2-ethyl-4-methyl-
 <4359-46-0>
4^8-cycloundecatriene/ 2,6,6,9-
 tetramcthyl-, (€,6,6)-
 <6753-98-6>
4-benzenedicarboxyllc acid, din
 1,4-benzenedicarboxyllc
 acid<100-21-0>
4-bis(l-methylethyl)-beniene
 <100-18-5>
4-dichlor® benzene* 106-46-7>
4-diethylbenzene<105-05-5>
4-dithiane<505-29-3>
4-oxathiane<15980-15-l>
5-cyclooctadiene
5-di!Bethoxy-pentane
6-difflethyl-4-
6-dimethyl-4-( 1-methylethyl)
 naphthalene
raethyl-7-( i-methylethyl)-
 rsaphthalene<490-65-3>
{2-thienyl)-ethanone<88-15-3>
(4-hydroxy-3-aiethoxyphenyl)-
 ethanone<498-02-2>
(4-hydroxyphenyl)-ethanone
 <99-93-4>
{ 4-methoxyphenyl)-l-propanone
l,

1,
1,
l,
l,
1,
l,r
l,
1,

l-
l-

l-
l-{4-asethylphenyl}-cthanone
   <122-00-9>
1-broroo-l-chloroethane
l-bromo-2-chloroethane<107-04-0>
l-bromo-2-chloropropane
1-butananine, n-butyl-n-nitroso~
   <924-16-3>
l-chloro-2,3-dibromopropane
l-chloro-2-nitro-benzen€<88-73-3>
l-chloro-3-nitrobenzene<121-73-3>
l-decanol<112-30-l>
l-decene<872-05-9>
l-dodecene<112-41-4>
l-heptad«cene<6765-39-5>
l-hexadecene<629-73-2>
1-hexanol
1-hexene, 4,5-diraethyl-
   <16106-59-5>
l-isopropenyl-3-isoproylbenzen«
l-fflethoxy-2-propanol<107-98-2>
l-Bethoxy-4-(l-propenyl)-benzene
   <104-46-l>
l-methoxy-4-(2-propenyl)-benzene
   <140-67-rO>
l-aethoxy-4-pentylbenzene
l-oethyl-2-nitro-benzene<88-72-2>
l-methyl-3-nitro-benzene<99-08-l>
l-methyl-4-d-Hethylethenyl)-
   cyclohexene<138-86-3>
l-fflethyl-4-(l-methylethyl)-
   7oxabicyclo(2.2.1)heptane
   <470-67-7>
l-raethyl-4-nitro-benzene<99-99-0>
l-methyl-7-(l-fflethylethyl)-
   phenanthrene<483-65-8>
l-nethyl-naphthalene<90-12-0>
1-raethylanthracene
l-nonene<124-ll-8>
l-octadecene<112-88-9>
l-octanethlol
1-oc tanol
l-octene
l-p«ntadecene<13360-61-7>
1-pentanol, 5-methoxy-<4799-62-6>
l-pentanol<71-41-0>
l-penten-3-ol, 2-methyl-
   <2088-07-5>
1-phenanthrenecarboxylic acid,
   l,2,3/4,4a,9,10,10a-octahydro-
   l,4a-difflethyl-
1-phenyl-l, 2-dithiobutane
l-phenyl-1^2-dithiopropane
l-phthalazinamine<19064-69-8>
1-propanol, 2-{2-methoxy-l-
   methyietnoxy)-<55956-21-3>
1-propanol, 3-C3-(3-methoxypropoxy
   )propoxy3-<13133-29-4>
                         710

-------
                         Accession Ho.  5404000110
                  (cont)
l-propanol<7 l-23-8>
1-propanone, l-(3*4-disneth®xyph®ny
   1)~<1835-04~7>
1-propene* l-chloro~<590-21-6>
i-propene, 3~chloro-2-aiethyl-
   <563-47-3>
l-propene~1^2,3-tricatboxyllc
   acid<499-12-7>
l-propyl-2-methylnaphthalen@
l-sec-butoxy-2-niethoxy propane
l~sec-butyl-3,7-diiHethyl-6~
   hydro xybi eye lodec~2-ene
l-tetradecene<1120-36~l>
l-tridecene<2437-56-l>
l-undecene<821<-95»4>
l-undecyne<2 243-98-3>
10,12-dimethyltridecanoic acid
lO-ttethyltetradecanoic acid
10-undecanoic acid<112~38-9>
11^22-benzf luoranthene
llh-benzo
llh-benzo(b)fluorene<243-17-4>
13-abienten-18-oic acid
13-abieten-18-oic acid
13-isopropyl-podocarpa-7/13-dien-
   15-oic acidC514-10-3>
13-isopropylidene-podocarp-8<14>-
   cn-15-oic acid< 471- 77-2 >
13-methylpentadecanoic acid
lh-cyclopropaCa3naphthalene^
   l,7,7a-tetraraet
lh-indene^ l-iaethyl-<76 Ih-indene,
   phenyl-<3910-35-8>
   indener 2,3-dihydro~l,l,3-
   triraethyl-<2613-76-5>
   dimethyl-<17057-82-8>
lh-indene, 2#3-dihydro-l#4,7-
   triraethyl-<54340-87-3>
Ih-indene, 2,3~dlhydro-l,5j7-
   triraethyl-<54340-88-4>
lh-indene^ 2,3-dihydro-l-methyl
   <767-58-8>
Ih-indene, 2,3-dihydro-2-raethyl
   <824-63-5>
Ih-indene/ 2.r3-dihydro-4#7-
   dimethyl-<6682-71-9>
           2#3-dihydro->4-methyl
   C824-22-6>
lh»indene# 2#3-dihydro-5-raethyl-
   <874-35-l>
lh-indene# 3-!sethyi-<767-60-2>
lh«inden^ aethyl-<29036-25-7>
lh-Indole<120-f2-9>
Ih-pyra2ole<288-13-l>
2<10)-pinene<127-91-3>
2(3h)-ben2othiazolethione
   <149»30-4>
2CSh)~f«ranone^ S^S-dinethyl-
   <20019»64-1>
2f 2 *-oxybis-propane<108-20-3>
2,2 ^thlobis-€thanol
2^2^4^4-tetramethylpentanoic acid
2^2-dichloropropionlc acid
   <75-99-0>
2if2-diiBethylpropane<463-82-l>
2#3#4iP6-tetrachlorophenol<58-90-2>
2^3#5#6-tetrachloroterephthalic
   acid, dimethyl ester
2^3-dibrono-l-propanoK 96-13- 9>
2^3-dibrosBO-l-propanol
2f 3-dihydro-l, 2,3-triraethyl-l-
   phenyl-lh-indene
2,3-dlhydro-lh-inden-l-one
2,3-dihydro-lh-indene<496-ll-7>
2,3-diBethyl-2-norbornene
   <529~16-8>
2^3-dioxane, 4-methyl-<1120-97-4>
2,4'»ddt<789-02-6>
I, 4, 5-tr ichlorophenoK 95- 95-4>
It 4,5-trichlorophenoxyacetic acid
   CT)<93-76-5>
2^4,5-trichlorophenoxypropionlc
   acid (TPK93-72-l>
2,4,5-triffiethylbenzoic acid
   <528-90-5>
2,4,6-trichlorophenol<88-06»2>
2^4^6-trimethylbenzaldehyde
   <487-68-3>
2,4^6-trlmethylpyridine<108-75-8>
2,4, 6-trimethylundecanoic acid
2,4-bis(l,l-diiBethylpropyl)-
   phenol<120-95-6>
2,4-d acid<94-75»7>
2#4-dichlorobenzoic acid<50-84-0>
2/4-dlchlorophenol<120-83-2>
1t 4-dichiorophenoxy acetic acid (2
   4-d)<94-75-7>
                         711

-------
                         Accession No.  6404000110
                                                     (cent)
4-dinethyldlphenylsulf one
4-dimethylphenol<105-67-9>
4-dinitrotoluene<121~14-2>
5,8, 11,14-pentaoxapentadecane
 <143-24-8>
5,8, ll-tetraoxadod«cane
 <112-49-2>
S-bis(l,l-diisethylpi:opyn-2,5-
 cyclohexadiene-1, 4-dion«
5-dimethyl-phenol<95-87-4>
5-hexanedione<110-13-4>
5-norbornadiene, 1,2,3,4,7,7-
 hexachloro-<3389-71-7>
5-pyrrolidinedione, 1-propyl-
 <3470-97-l>
6-bis(l,l-diraethylethyl)-2,5-
 cyclohexadiene-1, 4-dione
6-bisU*l-diinethylethyl)-4-
 K«thoxy-phenol<489-01-0>
6-bls(l,l-dimethylethyl)-4-
 B«thyl-phenol<128-37-0>
6-bis( 1,1- dime thylethyl) -phenol
 <128-39-2>
6-dl-t-araylben2oquinone
6-dl-t-butyl-4-ethoxyphenol
6-di-t-butyl-4-hydroxyo€thylphen
 ol
6-di-t-butyl-p-benzoquinone
6-dl-t-butylcr«sol
6-dime thyl-4-hcp tano 1< 10 8- 82-7>
6-dinethylpyrIdine<108-48-§>
6-dinitrotolu€ne<606-20-2>
6-naphthallc acid
9,10- 1 rime thy 1 anthracene
(l,l-diraethylethyl)-4-iBethoxy-
 phenol<121-00-6>
(l-«ethyl€thyl)-phenoi<88-69-7>
(2*-isopropylph«nyl)-l-propanol
(2-<2-butoxyethoxy)ethoxy)
 ethanol<143-22-6>
{2-(2-ethoxyethoxy)«thoxy)-
 ethanoKl 12-50- 5>
< 2-butoxyethoxy) -e thanol
 <112-34-5>
(2-ethoxyethoxy)-e thanol
2,
2,

2,

2,

1,
2,
2,

2,

2,

2,

2,

2,

2,
2,
2,

2,
2,
2,
2f
2,
2,
2,
2-

2-
2-
2-

2-

2-

2-
2-(2-E«thoxy-l-iaethylethoxy>-2-
   proponol
2-< 3 '- Isop ropy Ipheny 1) -1-prop anol
2-acetyl-4-iBethyl-4-pentenoic acid
2-benzothiazole
2-blphenylol<90-43-7>
2-butanone, 3-fflethyl~<563-80-4>
2-butoxy-ethanol
2-chloro-benzenamine<95-51-2>
2-chlorobenzoic acid<118-91-2>
2-chloroethanol phosphate (3-1)
   <115-96-8>
2-cyclohcxen-l-onc, 3,4,4-
   tr imethyl-<17299-41- 1>
2-cyclohcxen-l-one, 3,5-dinethyl-
   <1123-09-7>
2-cyclohexen-l-one, 3-«ethyl-
   <1193-18-6>
2-cyclohex«n-l-on«, 4,4,5-
   trinethyl-<17429-29-7>
2-cyclohexen-l^one<930-68»7>
2-cycloh«xylphenol<119-42-6>
2-cyclopenten-l-one, 3-wethyl-2-
   <2-p«ntenyl)-, (2)<488-10-8>
2-d«oxy-d-erythro-pentos«
2~ethoxy-ethanol<110-80-5>
2-ethoxyethyl-2-butoxy«thyl ether
2-ethyl-l-hexanol<104-76-7>
2-ethyl-butanoic acld<88-09-5>
2-e thyl*hexanoic acid
2-ethyl-phenol<90-00-6>
2-f ur annethanol<98-00-0>
2-hexanol<626-93-7>
2-hexanone<591-7fi-6>
2-hydroxy-benzaldehyde< 90-0 2-8>
2-hydroxy-benzoic acid<69-72-7>
2-hydroxy-propanoic acid<50-21-5>
2-hydroxymethylcyclohexanone
2-aethoxy-l, 1 *-biphenyl<86-26-0>
2-fflethoxy-4-( 1-propenyl )-phenol
   <97-54-l>
2-« e thoxy-4-C2-propenyl) -phenol
   <97-53-0>
2-methoxy-ethanol<109-86-4>
2-a«thyl-l,3, 5-tr initrobenzene
   <118-96-7>
2-raethyl-2-butanol<75-85-4>
2-raethyl-2-piopanethiol<75-66-l>
2-Bethyl-2-propanoK7S-65-0>
2-aethyl-2-propyhexanoic acid
2-methyl-3-hexanoic acid
2-aethyl-4-ethyldioxolane
2-«ethyl-5-(l-Bethylethenyl)-2-
   cyclohexen-l-one<99-49-0>
2-methyl-benzoic acid<118-90-l>
2-methyl-butanoic acid<116-53-0>
2-methyl-naphthalene<91-57-6>
                         712

-------
                         Accession No.   6404000110
                  (cont)
2-raethyl-pentonolc acidc97-61-0>
2-methyl-propanal<78-84-2>
2-niethyl-propanenitrile<78-82-0>
2-nethyl-propanoic acid<79-31-2>
2-methylfluorene
2-naphthalenecarboxylic acid
   <93-09-4>
2-nitrophenol<88-75-5>
2-norbornanol,  1,2,7,7-tetramethyl
   -/ exo-<2371-42-8>
2-norbornanol,  1/3, 3-t rime thy 1-
   <1632-73-l>
2-norbornanone, I/ 3,3-trimethyl-
   <1195-79-5>
2-norbornanone<497-38-l>
2-pentanone<107-87-9>
2-phenoxyethanol<122-99-6>
2-p heny l-l/ 4-c yc lo he xa diene
2-phenyl-butyric acid<90-27-7>
2-pinen-10-ol<515-00-4>
2-pinen-4-one/  (lr,5r)-(+)-
2-propanol/ lyl*-(propylenedioxy)
   di-<1638-16-0>
2-prop anol/ I/ 3-diae th oxy-
   <623-69-8>
2-propanol/ l-(2-roethoxypropoxy)-
   <13429-07-7>
2-propanol/ 1-Cl-aethy l-2-(2-
   propenyloxy)ethoxy3-
   <55956-25-7>
2-propanol,l-C2-(2-methoxy-l-
   raethlethoxy)-l-methylethoxy3-
   <20324-33-8>
2-propanone^ 1,1/1, 3,3-pent 2-
   <632-21-3>
2-prop ionylthiophene
2-pyrrolidlnone/ 1-methyl
   <872-50-4>
2-thiophenecarboxaldehyde<98-03-3>
3(2h)-benzofur anon e< 71 69-3 4-8>
3, 3 di pheny 1 pr op anol
3,3-demethyl-2-butanone<75-97-8>
3/4,5,6-tetrachloroguaiacol
3,4,5-triraethoxyacetophenone
3^4-dicholoro-benzenan In e< 95-76- 1>
3/ 4-dimethoxyace tophenone
3,4-dimethoxyacetophenune
3, 4-dlmethoxybenzaldehyde
   <120-14-9>
3f 4-dlmethoxyethylbenzene
3,4-dimethyl-phenol<95-65-8>
3*5,5-trlBethyl-3-cyclohexen-l-
   one<471-01-2>
3, 5-diroethoxy-4-hydroxyacetophenon
   e
3,5-dimethylbenzoic acid<499-06-9>
3,5-diB€thylphenol<108-68-9>
3,7,ll-triBethyl-2/6,10-dodecatrle
   nol
3/7-dimethyl-l/6-octadien-3-ol
   <78-70-6>
3,7-dinethyl-3-octanol<78-69-3>
3-1, 1-d iaethy lethy l)-4-Bethoxy-
   phenol<88-32-4>
3-chloro-2-raethylbut-l-ene
3-chlorobenzenainine<108-42-9>
3-deoxy-d-ery thropentonic acid
3-deoxy-d-threopentonic acid
3-ethyl-3-methyl-2*5-pyrrolidinedi
   one<7l-67-8>
3-ethylhexanoic acid
3-hexanol/ 3-aethyl-<597-96-6>
3-hexanol<623-37-0>
3-hexanone<589-38-8>
3-hexene-2/5-diolC7319-23-5>
3-oethoxy-4-hydroxypropiophenone
3-fflethyl-l-butanol<123-51-3>
3-methyl-2-oxopentanoic acid
3-methyl-3-pentanol<77-74-7>
3-nethyl-benzoic acid<99-04-7>
3-methyl-butanoic acid<503-74-2>
3-oethyl-pyridine<108-99-6>
3-methyladlpic acid
3-methylcholanthrene< 56-49- 5>
3-raethylcyclopentan-l,2-diol
3-fflethylpentanedioic acid
3-raethylpentanoic acid<105-43-l>
3-octanone
3-octenoic acid<1577-19-l>
3-penten-2-one<625-33-2>
3-phenyl-2-propen-l-ol< 104-54-l>
3-phenylpentanoic acid
3730-56-l>
3734-48-3>
   dene
3a/7-methano-3ah-cyclopentacyclooc
   tene, 1,4,5/6,7,8,9,93
4C10)-thu^ene<3387-41-5>
4,4*-dde(p,p'-ddx)<72-55-9>
4,4*-ddt<50-29-3>
4,4*-dibutenyl disulfide
4,4-diamino-dicyclohexyl me thane
                         713

-------
                         Accession No.  6404000110
                  (cent)
4, 5,6-trichloroguaiacol
4,5-benzfluoranthene
4, 5-octadien-3-one, 2,2,7,7-
   tetramethyl-<19377-97-0>
4,6-
4, 7-methano-lh-indene, 1,2, 3, 4/5,6,
   7, 8, 8 -non ach lor 0-2,3, 3a, 4,7,7 a-
   hexahydro
4,7-saethano-lh-indene, 4,5,6,7,8,
   8-hexachloro-3a,4,7,7a-
   tetrahydro
4-(l,l,3,3-tetramethylbutyl)-
   phenol<140-66-9>
4-(l,l-ditnethylethyl) phenoxyaceti
   c acid
4- (1,1 -dimethyl ethyl) phenoxyoceti
   c acid
4~(l,l-diraethylethyl)phenoxyacetic
    acid
4- ( 1-e thy 1-1 -methy Ihexyl ) phenol
4-(l-roethylethyl)~benzoic acid
   <536-66-3>
4-chloro-benzoic ac!d<74-ll-3>
4-chiorophenol<106-48-9>
4-e theny 1-1-cyclohexane
4-ethoxybutyl butaoate
4-ethylpyridine<536-75-4>
4-ethylstyrene
4-heptanone< 123-19-3>
4-hydroxy-3, 5-diraethoxy-benzaldehy
4-hydroxy-3-methoxy-benzeneacetlc
   acld<306~08-l>
4-h>droxy-3-raethoxy-benzoic acid
   <121-34-6>
4-hydroxy-3-methoxybenzaldehyde
   <121-33-5>
4-hydroxy-3-methoxypropiophenone
4-hydroxy-4-methyl-2-pentanone
   <123-42-2>
4~hydroxy-benzeneacetic acid
   <156~38-7>
4~hydroxybenzaldehyde< 123-0 8-0>
4-methoxy-benzoic acid<100-09-4>
4-methoxybenzaldehyde< 123-ll-5>
4-methyl-l-C 1-methylethyl}-
   bicyclo(3.1.0)hexan-3-ol
   <513-23-5>
4-methyl-2«ethyl-l,3-dioxolane
4-methyl-2-nltro-phenoKil9-33-5>
4-ffiethyl-2-pentanol<10 8-ll-2>
4-methyl-3«cyclohexene-l-methanol
4-methyl-3~penten-2-one<141-79-7>
4-raethyl-benzenesulfonaiuide
   <70-S5-3>
4-aethylp€nt-3-en-2-one
4-aethylyhenylpentanolc acid
4-n-propylphenol
4-phenylp€Utanoic acid
4a,alpha.C2h)-naphthol,
   oc tahydro-4.alpha.,8a«beta«-
   dim€thyl-<19700-21-l>
5,8,11,14-eicosatetraenoic acid
   (all z)<506-32-l>
5-acetylaioino-6-aiBino-3-aiethylurac
   il
5-e thy1-2-aethyl»pyridine
   <104-90-5>
5-ethyl-5-isopentyl-barbiturlc
   acid<57-43-2>
5-ethyl-5-phenyl-barbituric acid
   <50-06~6>
5-methy1-5-ethyIdeeane
5-raethylhexanoic acid
5-undecyne<2294-72-6>
6,8,11,13-abietatetraen-ia-oate
6,8,ll,13-abietatetraen-18-oic
   acid
6,8,ll,13-aibietatetraen-18-oic
   acid
6-cnethyl-S<-hepten-2-one<110-93-0>
6-methyloctanic acid
7-oethyl-3-raethyiene-l,6-octadiene
   <123-35-3>
7h-benzo{c)£luorene<205-12-9>
8-nonenoic acid<31642-67-8>
9,10-anthracenedione< 84-65-l>
9-hexadecenoic acid, {«)-
   <10030-73-6>
9-hexadecenoic acid, methyl ester,
    (z)-<1120-25-8>
9-octadecenoic acid (z)-<112-80-l>
9-octadecenoic acid/ methyl ester,
    (e)-<1937-62-8>
9h-carbazole<86-74-8>
Cl,l*-bicyclohexyl3one< 56025-96-8>
Cls-C1«alpha.,4a.alpha.,lOa.alpha)
   l«<57345-30-9>
abietans
acenaphthalene
acenaphthene<83-32-9>
acenaphthylene<208-96-8>
acetaldehyde<75-07-0>
acetate borneol<76-49-3>
                         714

-------
                         Accession No.  6404000110
                  (cont)
acetic acid<64-!9-7>
acetone<67-64-l>
acetophenone 3*>4'-dihydroxy-
   <1197-09-7>
acetophenone<98-86-2>
acridine/ l/2/3/4-tetrahydro-4/9-
   dimethyl-<55030-65-4>
acridine/ 9/10-dihydro-9/9-
   diraethyl-<6267-02-3>
adipic acid<124-04-9>
alachlor/ one additional chlorine
   homolog
alachlor<15972-60-8>
aldrin<309-00-2>
aliphatic hydrocarbons
alkyl acid ester r+rl.ge.8
alkyl benzene
alkyl benzene sulfonate
alkyl benzenes
alkyl benzothiophenes
alkyl naphthalenes
alkyl phenyl ether
alkyl trichlorides
molecular weight 220
alkyl-2/3-dihydroindene
alkylated benzene
alkylbenzene
alkylbenzene/ c3 isomer
alkylbenzene, c4 isomer
alkylbenzene sulfonates
aminium chloride<81-88-9>
aminochlorobenzoic acid(three
   isomers)
amphoteric organic compounds
an aromatic (phenyl) sulfur
   compound
molecular Height 168
anethole isomer a
anethole isomer b
aneth anisole* p-styryl-
   <1142-15-0>
anteisomargaric acid
anteisopentadecanoic acid
anthanthrene
anthracene, 2-irethyl-<613-12-7>
anthracene/ 9,10-dimethyl-
   <781-43-l>
anthracene/ 9-methyl'-<779-02-2>
anthracene<120-12-7>
arabinose<147-81-9>
araconidic acid
aromatic hydrocarbons
aromatics
atrazine, diethyl
atrazine<1912-24-9>
azulene<275-51-4>
barbital
benz(e)pyrene
benzaldehyde<100-52-7>
benzenamine/ 2/4/6-trichloro-
   <634-93-5>
benzenamine/ 4-(l-nethylethyl)-n-
   phenyl-<5650-10-2>
benzene substituted with seven
   saturated carbons
benzene substituted with three
   saturated carbons
benzene sulfonamide/ n-butyl-
   <3622-84-2>
benzene sulfonamide/ n-ethyl-2-
   raethyl-<1077-56-l>
benzene/ (1/1-dimethylbutyl)-
   <1985-57-5>
benzene/ (1/1-diraethylpropyl)-
   <2049-95-8>
benzene/ (1/2/2-trimethyIpropyl)-
   <19262-20-5>
benzene/ (1-methylbutyl)-
   <2719-52-0>
benzene/ (1-methyldecyl)-
   <4536-88«3>
benzene/ (1-methylpentyl)-
   <6031-02-3>
benzene/ Cl-propylbutyl)-
   <2132-86-7>
benzene/ (2/2-dimethylbutyl)-
   <28080-86-6>
benzene/ (2/2-dimethylpropyl)-
   <1007-26-7>
benzene/ (2-ethylbutyl)-
   <19219-85-3>
benzene/ l/l'-(l/2-ethenediyl)
   bisC 4-methoxy-<4705-34-4>
benzene/ 1/2/4-tributyl-
   <14800-16-9>
benzene/ l/3/5-tris(l/l-diaiethylet
   hyl)-<1460-02-2>
benzene/ l/4-di«thyl-2/3/5/6-
   tetramethyl-<33962-13-9>
benzene/ l/4-dimethyl-2-(2-
   methylpropyl)-<556 benzene/
   l-ethenyl-2-methyl-<611-15-4>
benzene/ l-ethenyl-3/5-dimethyl-
   <5379-20-4>
                         715

-------
                         Accession No.  6404000110
                  (cont)
benzene/ l-ethyl-2/3-dimethyl-
   <933-98-2>
benzene/ l-ethyl-2/4/5-trimethyl-
   <17851-27-3>
benzene/ l-ethyl-2/4-dimethyl-
   <874-41-9>
benzene/ l-ethyl-2-methyl-
benzene, l-ethyl-3/5-diraethyl-
   <934-74-7>
benzene/ l-ethyl-3-methyl-
   <620-14-4>
benzene/ l-ethyl-4-methyl-
   <622-96-8>
benzene/ l-methyl-2-{l-ethylpropyl
   )-<54410-74-l>
benzene, 1 -methyl- 2-propyl-
   <1074-17-5>
benzene/ l-methyl-3-propyl-
   <1074~43-7>
benzene/ l-methyl-4-propyl-
   <1074-55-l>
benzene, l-propenyl-<637-50-3>
benzene/ l-tert-butoxy-3-methoxy-
   <15359-99-6>
benzene/ 2-ethyl-l,3-diraethyl-
   <2870-04-4>
benzene, 2-ethyl-l/4-dimethyl-
   
benzene/ 3-cyclohexen-l-yl-
   <4994-16-5>
benzene/ 4-ethyl-l/2-dimethyl-
   <934-80-5>
benzene/ 4-methyl-l/2-dinitro-
   <610-39-9>
benzene, chloroethyl-<1331-31-3>
benzene, chloronitro-<25167-93-5>
benzene, cyclohexyl-<827-52-l>
benzene, dibromo-<26249-12-7>
benzene, dichloromethyl-
   <29797-40-8>
benzene, diethylraethyl-
   <25550-13-4>
benzene, ethyl-l/2,4-trimethyl-
   <54120-62-6>
benzene, ethyl«ethyl-< 25550-1 4-5>
benzene, methylnitro-<1321-12-6>
benzene, nonyl-<1081-77-2>
benzene/ octyl-<2189-60-8>
benzene, pentachloromethoxy-
   <1825-21-4>
benzene, trimethyl-<25551-13-7>
benzene, undecyl-<6742-54-7>
benzene, trichloro-<12002-48-l>
benzene<71-43-2>
benzeneacetic acid, ethyl ester
   <101-97-3>
benzenebutanoic acid, . beta.-
   methyl-<7315-68-6>
benzenebutanoic acid<1821-12-l>
benzenemethanol<100-51-6>
benzenepentanoic acid<2270-20-4>
benzenepropanoic acid<501-52-0>
benzo(a)anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
benzo(b)thiopene<95-15-8>
benzo(ghi)fluoranthene<203-12-3>
benzoic acid, 1-methylethyl ester
   <939-48-0>
benzoic acid/ 2/4-dimethyl-
benzoic acid, 2/5-dimethyl-
   <610-72-0>
benzoic acid, 3/5-bis(l,l-
   dinethyletnyl)-4-hydroxy-
   <1421-49-4>
benzoic acid, butyl ester
   <136-60-7>
benzoic acid, methyl ester
   <93-58-3>
benzoic acid/ methyl-<25567-10-6>
benzoic acid, phenyl ester
   <93-99-2>
benzoic acid<65-85-0>
benzopyrenes
benzothiazole, 2-(methylthio)-
   <615-22-5>
benzothlazole<95-16-9>
benzperylene
bhc
bhc (lindane)-gafflma<58-89-9>
bhc's
bicyclo(2,2.2)octane<280-33-l>
bicyclo(7.1.0)decane<286-76-0>
bicycloC2.2.l3hept-2-ene,
   heptachloro-<28680-45-7>
bicycloC7.2«OCundec-4-ene,
   4,ll,ll-triaethyl-8-inethylene-
biphenyl<92-52-4>
biphenylene<259-79-0>
bis(2-chloroethoxy)rae thane
bis(2-chloroethyl)ether
                         716

-------
                         Accession No.  6404000110
                  (cont)
bis(2-chloroisopropyl)ether
   <39638-32-9>
bis(2-ethoxyethyl)ether<112~36-7>
bis(2-ethyl-ri-butyl) phthalate
bis<2-ethylhexyl)phthalate
   
bis(3,5-di-t-butyl-4-hydroxyphenol
   ) methane
bis(chloroethyl) ether
bis(chloroisopropyl) ether
bis(chlororaethyl)ether<542~88~l>
borneol<507-70-0>
branched-chain docosane
broniobenzene<108-86-l>
br on
bromochloroe thane
bronochloroiodoffiethane
broroochioromethane<74-97-5>
bronodichloroethane
broroodichlororaethane<75-27-4>
bronophenylphenyl ether
bromopropyIbenzene
bronsotrlchloropropane
butachlor<23!84-66-9>
butadiene
butanal, 3-methyl-<590-86-3>
butanal<123-72-8>
butane<106-97-8>
butanoic acid^ 1-methylpropyl
   ester<819-97-6>
butanoic acid, 2,2-dimethyl-
   <595-37-9>
butanoic acid, 2f3-dimethyl-
   <14287-61-7>
butanoic acid, 2-hydroxy-
   <565-70-8>
butanoic acid, 3,3-dimethyl-
   <1070-83-3>
butanoic acid, 4-ethoxybutyi ester
butanoic acid, 4-«ethoxy~, methyl
   ester<29006-01-7>
butanoic acid, butyl ester
   <109-21-7>
butene<25!67-67-3>
butoxyethanol
butyl acetate<123-86-4>
butyl benzyl phthalate<85-68-7>
butyl glycolyl butyl phthalate
   <85-70-l>
butyl octyl maleate
butylbenzene<104-51-8>
butyric acid, 2-butoxyethyl ester
   <20442-06-2>
butyric acid, 3-iaethyl-4-{2,5-"
   xylyl)-C30275»76-4>
butyric acid<107-92-6>
c-one to c-four hydrocarbons
cl-alkyl anthracene
cl-alkyl naphthalene
cl-alkyl phenanthrene
clO canphenol
clO terpene
clO. .beta.-hydroxy acid
elO,hl4.0
c!2. .beta.-hydroxy acid
c!4. «beta«-hydroxy acid
clS hydrocarbon
c!5 terpene
c!5 terpineol
c!5«h24.(alkybenzene)
c!6 hydrocarbon
c!6, »beta«-hydfoxy acid
c!6.h26.(alkyben2ene)
c!7 hydrocarbon
c!7,h26.0
c!7.h28.
caraphene<79-92-5>
caaphor<76-22-2>
                         717

-------
                         Accession Ho.  6404000110
                  (cent)
caravacrol<499-75-2>
carbaryl<63-25-2>
carbohydrates as glucose
carbon disulfide<75-i5-Q>
carbon tetrachloride<56-23~5>
cellobiose
chloral<75-87-6>
chlordan
chlordane
chlordane<57-74-9>
chlorinated phenols
chloro-.alph a«-roethylbenzyl
   alcohol
chloroalkyl acetate
chlorobenzer»e<10 8-90-7>
chlorobenzenes
chlorobenzoic acid isoraer
chlorocumene
chlorocyclohexane<542-18-7>
chloro dibroraoinethane<124~48~l>
chloroethane<75-QO-3>
chloroforra<67-66-3>
chloronsethane<74-87-3>
chlorophyll
chloroprene isomer
chlcroprene<126-99-8>
cholesterol<57-88-5>
chrysene<218-01-9>
cis-1,3, trans-l,4-menthol<89-78-l>
cis-9^cis-12"Octadecadienoic acid
   <60-33-3>
cn.clx.fz. where n approx»4
coronene
cotinine<486-56-6>
cresol isomer
crotonaldehyde<4170~30-3>
cumene<98-82-8>
cx.cly.fz
cyanaTine<21725-46-2>
cyanogen chloride<506-77~4>
cyclic tetraraethylane adipate
cyclohexane<110-82~7>
cyclohexanecarboxylic acid/
   ethenyl ester<4840-76-0>
cyclohexanecarboxylic acid
   <98-89-5>
cyclohexanol<108-93-0>
cyclohexanone, 2-raethyl-5-Cl-
   »ethylethenyl)-<7764-50-3>
cyclohexanone^ 3^3^5-trimethyl
   <873-94-9>
cyclohexanone<108-94-l>
cyclohexene/ l~raethyl-4-(l~
   raethylethylidene)-<586-62-9>
cyclohexene^ 3-raethyl-<591-48-0>
cyclohexene<110-83-8>
cyclopentane^ ethylldene-
   <2146-37-4>
cyclopentanol^ 2-raethyl-, cis-
   <25144«05-2>
cyclopentanone^ 2-nethyl-
cyclopentanone, 3-ncthyl-
cyclopentene^ octachloro-
   <706-78-5>
cyclopentene<142-29-0>
cyclpoentane<287-92-3>
eyraene
cymene (2 isoners)
cz6-ci26 alcohol
d-galactometasaccharinic acid
d-glucose<50-99-7>
daraiuozide (alar)
ddt
   <49622-18-6>
    ne^ branched isomer
deean@<124~18~5>
decanedioic acid^ bis<2-ethylhexyl
   ) ester<122-62~3>
decanedioic acid^ dibutyl ester
   <109-43-3>
decanedioic acid
decanoic acid<334-48-5>
decylbenzene<104-72-3>
dehydroabietic acid
di(ethylhexyl) phthalate (3
   isomers)
di(ethylhexyl) phthalate isoners
di-n-amyi ketone
di-n-butyi phthalate
di-n-butyl phthalate<84-74-2>
di»n-octyl phthalate<117-84-0>
diazinon<333-41«5>
dibenzofuran<132-64-9>
dlbenzothiophene<132-65-0>
dibromo-1-propanol
dibromochloro ethane
dibroraochloromethane<124-48-l>
dibromoehoroe thane
dibromodlchloroethane i sower
dibroraopcopene

-------
                         Accession No.   6404000110
                  (cent)
dibroroopropene isomer
dlbutoxyeth xyethoxymethane
dibutoxyethoxyethoxymethane
dibutyl nonanedloate
dibutyl phthalate<84-74-2>
dicarboxylic acid esters (plastic!
   zers)
dlchlobenll<1194-65-6>
dichlorinated hydrocarbon c.ge.5
dichloro-,alpha.-raethylbenzyl
   alcohol
dichloroacetate derivative
dlchloroaniline derivative
dichloroaromatic derivative
dichlorobenzene isoraers
dichlorobenzene< 25321-22-6>
dichlorobenzenes
dichlorobis(ethoxy)benzene
dichlorobutane
dichlorobutane isomers
dichlorobutene
dichlorodiphenyldichloroethylene
dichloroethane isoraer
dlchloroethylbenzene
dichloroheptane
dlchloroio dome thaneC 594-04-7>
dichloromethane<75-09-2>
dichloromethoxybenzoic acid
dichloromethoxytoluene
dichloropropane
dichloropropane Isomer
dichioropropene isomer
dieldrin<60-57-l>
diethoxyethane
diethyl disul£ide<110-81-6>
diethyl hexyl phthalate - 3
   isoraers
diethyl phthalate<84-66-2>
diethylene glycol, 2-methoxybutyl
   butyl diether
diethylene glycol/ 4-raethoxybutyl
   butyl diether
dihydrocoumarin
dlisobutyl nonanedioate
diisopropylbenzene (probably 1^3-
   isomer)
diisopropylphenol
dioethoxyjnethane<109-87-5>
dimethyl phthalate<131-ll-3>
dimethyl tetrachloroterephthalate
   (DCPA)
dimethyl(isopropyl)benzene
dime thy l-(l-me thy lethyl)benzene
dlroethylbenzene isoner
dime thy Ibiphenyl
dloethylchrysene
dime thy Idiphenylrae thane
dinethylethylbenzene (2 isoners)
dinethylethylbenzene (3 isomers)
dimethylf uran isomer
diaethylindan (3 isomers)
diraethylnaphthalene isomer
dlnethylnaphthalene(2 Isomers)
dimethylpyridlne isooer
dinethylguinoline isomers
dimethylstyrene
dinitrotoluene<25321-14-6>
dioctyl phthalate
dioctyl phthlate Isomers
dioetyl adipate
dioxane<123-91-l>
dioxolane
dioxolane, i»ethyl-<1331-09-5>
diphenylethane
diphenyl!nethanone<119-61-9>
dipropylene glucol, monomethyl
   ether
dipropylene glycol, methyl
   ether{2 isoner)
dlsulfide, diraethyl<624-92-0>
disulfide, diphenyK 882-33- 7>
diterpene
diunsaturated analog of octadecano
   ic acid
docosane<629-97-0>
docosanoic acid, methyl ester
   <929-77-l>
docosanoic acid<112-85-6>
dodecane<112-40-3>
dodecanoic acid/ methyl ester
dodecanoic acid<143-07-7>
eiconsanolc acid<506-30-9>
elcosane<112-95-8>
endo-2-camphanol
endo toxins
endrin isoner
endrin<72-20-8>
ethane, l,2-diethoxy-<629-14-l>
ethane, dibromo-<25620-62-6>
ethane, dichloro-<1300-21-6>
ethane, trichlorotrif luoro-
   <26523-64-8>
ethanethiol<75-08^1>
                         719

-------
                         Accession No.  6404000110
                  (cont)
ethanol, l-(2-butoxyethoxy)-
   <54446-78-5>
ethanol, 2-<4-U/l-diiBethylethyl)
   phenoxyi)-<713-46~2>
ethanol<64-17-5>
ethanone, l/-(4-(raethylethyl)
   phenyl)~<645-13-6>
ethanone, l,l*-Cl/4-phenylene)bis-
   <10Q9-61-6>
ethanone/ l-{4-hydroxy-3/5-
   dimethoxyphenyl)-<2478~38-8>
ethanone/ l-tl/i'-biphenyD^-yl-
   <2142-66-7>
ethene, dichloro-<25323-30-2>
ethyl & dimethyl c!4.hlO
ethyl acetate<141-78-6>
ethyl €ther<60-29-7>
ethyl heptane (positional isoraer?)
ethyl(trimethyl)benzene
ethylbenzene
ethylbenzylbenzene
ethylnethyldioxolane
ethylnaphthalene
ethylnapthalene isomer
exo-2-caraphanol
fatty acid methyl ester c.ge.10
fatty acid methyl ester c.ge«12-
   c.ge.-24
fatty acid methyl ester c.ge.26
fluoranthene<206-44-0>
fluoranthenes
fluorene<86-73-7>
fluorodichlorobroraoraethane
fonnaraide, n/n-dibutyl-<761-65-9>
fornanide^ nyn-diethyl-<617-84-5>
formic acid<64-18-6>
freon<11126-05-9>
fructose
furfural<98-01-l>
galactose
geosmln
heineicosane
heneicosane<629-94-7>
heneicosanoic acid, methyl ester
   <6064-90-0>
hentriacontane<630-04-6>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
heptachloronorbornene (two
   isomers)
heptachloronorbornene isomer
heptachloronorbornene isoners
heptacosane<593-49-7>
heptadecane<629-78-7>
heptadecanoic acid/ methyl ester
   <1731-92-6>
heptadecanoic acid<506-12-7>
heptane, l-chloro-<629-06-l>
heptanoic acid
heptene<25339-56-4>
hepthanoic acid/ 2-methyl-
   <1188-02-9>
heteroxanthine<552-62-5>
hexachlor epoxide
hexachlorobenzene<118-74-l>
hexachlorobutadiene<87-68-3>
hex achlorobut ene
hexachlorobutene isoaers
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
hexachlorohexafluoropentane
hexachloronorbornadiene (tuo
   isomers)
hexachloronorbornadiene isomers
hexachlorophene<70-30-4>
hexacosane<630-01-3>
hexadcecanoic acid<57-10-3>
hexadecane<544-76-3>
hexadecanoic acid/ 14-methyl-/
   methyl ester<2490-49-5>
hexadecanoic acid/ ethyl ester
   <628-97-7>
hexadecanoic acid/ methyl ester
   <112-39-0>
hexadienal
hexadieneal
hexahydro-l/3/5-trinitro-l/3/5-
   triazine<121-82-4>
hexahydro-2h-azepin-2-one
   <105-60-2>
hexane/ 2,4-diraethyl-<589-43-5>
hexane
hexanedinitrile
hexanedioic acid/ bis(2-ethylhexyl
   ) ester<103-23-l>
hexanedioic acid/ dicyclohexyl
   ester<849-99-0>
hexanedioic acid/ dioctyl ester
   <123-79-5>
hexanedioic acid/ polymer with
   5-amino-l/3/3-trimethyIcyclohex
   anernetha nami
hexanoic acid<142-62-l>
hexanol
                         720

-------
                         Accession No.  6404000110
                  (cont)
hexene isomers
hydrobarbon c.ge.34
hydrocarbon c.ge.10
hydrocarbon c.ge.12
hydrocarbon c.ge*14
hydrocarbon c.ge,16
hydrocarbon c.ge. 18
hydrocarbon c.ge,20
hydrocarbon c.ge.22
hydrocarbon c.ge»24
hydrocarbon c.ge,26
hydrocarbon c.ge.29
hydrocarbon c-ge.30
hydrocarbon c.ge.31
hydrocarbon c.ge.32
hydrocarbon c.ge.33
hydrocarbon c.ge.35
hydrocarbon c.ge.8
hydrocargon c.ge.23
hydroxy-acetic acid<79-14-l>
hydroxybiphenyl isomer
hydroxyborneol
hydroxylated aromatics as tannic
   acid
hyl-, (lar,7r, 7ar,7bs)-(&)
   
ih-indene, 2,3-dihydro-ljr6-
   diaiethyl-
imidazole-4-acrylic acid<104-98-3>
indan, 4,5/7-trimethyl-<6682-06-0>
indane
indene<95-13-6>
indeno (1,2,3-cd)pyrene<193-39-5>
iospalraitic acid
isoborneoKl 24-76-5>
isobutyl methyl phthalate
isobutylben2ene<538-93-2>
isocyanic acid<75-13-8>
isodrin
isomeric c6. acid
isomeric c7« acid
isomerlc c8. acid
isononylphenol
isonoylphenol
IsoTiylphenol
isophorone<78-59-l>
isopimaric acid/ methyl ester
   <1686-62-0>
isopiroeric acid
isopropenylisopropylbenzene (1,4-
   or 1,2-isomer)
isopropyl alcohol<67-63-0>
isothiocycanatoethane<542-85-8>
lactose
lignin<9005-53-2>
iinoleic acid, methyl ester
   <112~63-0>
a-acetotoluidide<537"92-8>
w-and p-ethylphenol
m-ane thole
ra-cresol<108-39-4>
ra-cymene<535-77-3>
m-methoxyphenyl acetate
m-xylene<108-3a-3>
malathion<121-75-5>
maltose
raandelic acid<90-64-2>
mannose
menthene isoner
mercury, diphenyl-<587-85-9>
methanol, C4-(l,l-diaiethylethl)
   phenoxy3-, acetate<54889-98-4>
raethanol<67-56-l>
methanone, diphenyl-/ monochloromo
   nohydroxy deriv,<55299-12-2>
methlpyrenes
methoxycarbonyIbenzophe methoxychl
   or<72-43-5>
methoxytriethylene glycol
   <112-35-6>
methyacrylonitrile<126-98-7>
methyl 2J,2-dichloro-3-methylbutano
   ate
methyl 2-(4-chlorophenoxy)
   butanoate
methyl 2-methyldodecanoate
methyl 2-methyltetradecanoate
methyl arachidate
methyl c!4,hlO
methyl cl8.h!2
methyl dichlorophenoxy acetate
methyl dichlorophenoxy acetate
   isomers
methyl dichlorophenyl ether
methyl ethyl ketone (mek}<78-93-3>
methyl isobutyl ketone<108-lO-l>
methyl isopalntitate
methyl isopentadecanoate
methyl methacrylate<80~62-6>
methyl methoxymethyl formal
methyl naphthoate
methyl octenoate
methyl pentachlorophenoxy ether
methyl phenol
                         721

-------
                         Accession No.  6404000110
                  (cont)
methyl phthalate
methyl plmarate isoraer
methyl sandaracopimarate
   <1686-54-0>
methyl sulfone<67-71-0>
methyl sulfoxide<67-68-5>
methyl tetrachlorophenyl ether
methyl trichlorophenoxyacetate
methyl trichlorophenyl ether
methyl-(2-methyIpropyl)benzene
methyl-2-(4-chlorophenoxy)
   butanoate
methyl-3/4-diraethoxybenzyl ether
aethyl-n-propylbenzene
me thylacenaphthene
methylbenzofluoranthene
methylbenzpyrene
methylbiphenyl isoraer
methylchrysene
in e thylcycl op en tana< 96- 37-7>
methyldecane
methyldiphenyl sulfide
methylene blue-active substances
   (alkybenzenesulfonates)
methylethyldioxolane
methylethylnaphthalene isoraer
methylindan
methylindenes
methylnaphthalene isomer
methylnaphthalene isomers
mettiylnaphthalenes
methylnapthalena isomer
raethylperylene
methylquinoline isoaters
methyltetrahydrofuran
monochlorobiphenyl isoraers (two)
monochlorobiphenyls
n'-B!ethyl-2-pyridone-5-carboxamide
n/n-diethyl-benzenamine<91-66-7>
n,n-dlmethyl-formamide<68-12-2>
n,n-dimethylacetaraide<127-19-5>
n/n-dimethylheptanamide
n-(9-(2-carboxyphenyl)-6-(diethyla
   mino)-3h-xanthen-3-ylidene)-n-
   ethyl-ethan
n-alkanes clO-c30
n-butyl alcohol<71-36-3>
n-butyl phthalate<84-74-2>
n-butyi-l-butanamine
n-butylisothiocyanate
n-dibutyl phthalate
n-ethyl-4-Bethyl-benzenesulfonamid
   e<80-39-7>
n-methyl-trichlocoaniline
n-nitrosodi-n-butylamine<924-16-3>
n-octanoic
n-phenyl-benzenanine<122-39-4>
n-propylnaphthalene
n-undecenoic acid
naphthalene/ 1,2,3^4-tetrahydro-l,
   l-dimethyl-<1985-59-7>
naphthalene^ 1/2/3^4-tetrahydro-l/
   4/ 6-tr imethyl-<22824-32-4>
naphthalene^ 1/2,3,4-tetrahydro-l^
   5/ 8- trifflethyl-<2!693-51-6>
naphthalene/ \f 2f 3/ 4-tetr ahydro-1^
   8-dimethyl-<25419-33-4>
naphthalene/ 1/2/3^4-tetrahydro-l-
   methyl-<1559-81-5>
naphthalene/ 1,2/3, 4-tetrahydro-2/
   7-dimethyl-<13065-07-l>
naphthalene/ l/2/3/4-tetrahydro-2-
   methyl-<3877-19-8>
naphthalene/ 1/2, 3/4-tetrahydro-S-
   methyl-<2809-64-5>
naphthalene/ l/2/3/4-tetrahydro-6-
   methyl-<1680-51-9>
naphthalene/ 1/2/ 8-trimethyl-
   < 3 87 6- 97-9 >
naphthalene/ 1/2-dimethyl-
naphthalene/ 1/3/6-trimethyl-
   <3031-08-1>
naphthalene/ 1/3/8-triraethyl-
   <17057-91-9>
naphthalene/ 1/3-diraethyl-
   <57S-41-7>
naphthalene/ 1/4/5-trimethyl-
naphthalene/ 1/4/6-trimethyl-
   <2131-42-2>
naphthalene/ l/4-dinethyl-5-octyl-
   <55000-53-8>
naphthalene/ 1/4-dimethyl-
   <571-58-4>
naphthalene/ 1/5-dimethyl-
   <571-61-9>
naphthalene/ 1/6/7- trimethyl-
   <2245-38-7>
naphthalene/ 1/6-dimethyl-
   <575-43-9>
naphthalene/ 1/8-diraethyl-
   <569-41-5>
                         722

-------
                         Accession No.   6404000110
                  (cont)
naphthalene, l-(l,l-dimethylethyl)
   -<17085-91-5>
naphthalene/ l-(2-raethylpropy1)-
   <16727-91-6>
naphthalene, l-{2-propenyl)-
   <2489-86-3>
naphthalene, l-butyl-<1634-09-9>
naphthalene, l-ethyl-<1127-76-0>
naphthalene, l-methoxy-<2216-69-5>
naphthalene, 2,3,6-trimethyl-
   <829-26-5>
naphthalene, 2,3-dimethyl-
   <581-40-e>
naphthalene, 2,6-dierathyl-
   <581-42-0>
naphthalene, 2,7-dimethyl-
   <582-16-l>
naphthalene, 2-(l, 1-dimethylethyl)
   -<2876-35-9>
naphthalene, 2-(l-methylethyl)-
   <2027-17-0>
naphthalene, 2-(phenylroethyl)-
   <613-59-2>
naphthalene, 2-outyl-<1134-62-9>
naphthalene, 2-ethyl-<939-27-5>
naphthalene, 2-methyl-l-propyl-
   <54774-89-9>
naphthalene, dlmethyl-<28804-88-8>
naphthalene, raethyl-<1321-94-4>
naphthalene, trimethyl-
   <28652-77-9>
naphthalene<91-20-3>
ne
ne, butanedlol and
neutral organic compounds
nicotine and salts<54-ll-5>
nitroanisole
nltrobcn2ene<98-95-3>
nl troiaethane<75-52-5>
nonaclor
nonacosane<630-03-5>
nonedecane<629-92-5>
nonedecanolc acid, methyl ester
   <1731-94-8>
nonadecanoic acid<646-30-0>
nonanal<124-19-6>
nonane
nonanedioic acid, bis(2-ethylhexyl
   ) ester
nonanoic acid<112-05-0>
nonene<27215-95-8>
o-anethole
o-cresol<95-48-7>
o-methoxyphenol<90-05-l>
o-xylene<95-47-6>
octacosane<630-02-4>
oc tadec ane<593-45-3>
octadecanoic acid, methyl ester
octadecanoic acid<57-ll-4>
octahydro-l,l,7-trimethyl-,
   (3ar-(3a.alpha.,7.alpha.,
   9a.beta. ))<469-92-l>
octane, 2, 3-dinethyl-<7l46-60-3>
octanedloic acid, 2-ethyl-
   <3971-33-3>
octanedloic acid<505-48-6>
octanes and higher saturated
   hydrocarbons
octanoic acid, 1-methyltridecyl
   ester<55193-79-8>
octanoic acid<124-07-2>
octanol (unknown isoner)
oleic acid, methyl ester<112-62-9>
organic bases
organic rcaterial
organic mercury compounds
organic nitrogen compounds
p-(l-raethyloctyl) phenol
p-anethole
p-benzoquinone, 2,5-di-tert-
   pentyl-<4584-63-8>
P-benzoquinone, 2, 6-di-tert-butyl-
   <719-22-2>
p-cresol<106-44-5>
p-cymene<99-37-6>
p-menth-l-en-4-ol, acetate
   <4821-04-9>
p-menth-l-en-4-ol<562-74-3>
p-menth-l-en-8-01<98-55-5>
p-raenth-3-en-l-ol<586-82-3>
p-raenthan-3-one<10458-14-7>
p-tetraraethylbutylphenol
   <54932-78-4>
p-tolylvaleric acid
p-xylene<106-42-3>
paraxanthine<611-59-6>
pcb's
pcb-1016 (arochlor 1016}
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochior 1248)
   
                         723

-------
                         Accession No.   6404000110
                  (cont)
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochloc 1260)
   <11096-82-5>
pentabarbital
pentachlorobenzene<608-93-5>
pentachlorobutadiene
pentachlorobutadiene isoraers
pentachlorobutene
pentachlorobutene isomers
pentachlorocyclopentadiene
pentachloroethane isomers
pentachloroethane<76-01-7>
pentachloronorbocnadiene epoxide
   isomer
pentachloronorbornadiene isomer
pentachloronorbornene (two
   isomers)
pentachloronorbornene isomer
pentachloropnenol<87-86-5>
pentachlorophenyl methyl ether
pentacosane<629-99-2>
pentadecane<629-62-9>
pentadecanoic acid, 14-methyl-
   <4669-02-7>
pentadecanoic acid, methyl ester
   <7l32-64-l>
pentadecanoic acid<1002-84-2>
pentane, l,2-dichloro-<1674-33-5>
pentane<109-66-0>
pentanedioic acid, 3,3-dimethyl-
   <4839-46-7>
pentanedioic acid
pentanoic acid, 4-methyl-2-oxo-
   <816-66-0>
pentanoic acid, 4-methyl-
   <646-07-l>
pentanoic acid<109-52-4>
pentatriacontane<630-07-9>
pentene isomer
pentene<25377-72-4>
pentylbenzene<538-68-l>
perchloroethylene<127-18-4>
perylene<198-55-0>
phenanthrene, 1,2,4-trimethyl-
   <23189-64-2>
phenanthrene, 2,3,5-trimethyl-
   <3674-73-5>
phenanthrena, 9,10-dihydro-
   <776-35-2>
phenanthrene, methyl-<31711-53-2>
phenantlirene<85-01-8>
phenathrene, 9-ethyl-<3674-75-7>
phenol, (1/1,3,3-tetramethylbutyl)
   -<27193-23-8>
phenol, 2,6-bis(l,l-diraethylethyl)
   -4-ethyl-<4130-42-l>
phenol, 2,6-bis{l-methylethyl)-
   <2078-54-8>
phenol, 2,6-diraethyl-<576-26-l>
phenol, 2-(l,l-dimethylethyl)-4-
   raethyl-<2409-55-4>
Phenol, 2-octyl-<949-13-3>
phenol, 3-{l,1-dimethylethyl)-
   <585-34-2>
phenol, 3-cyclohexyl-<1943-95-9>
phenol, 4-mercapto-<637~89-8>
phenol, nonyl-<25154-52-3>
phenol, tetrachloro-<25167-83-3>
phenol<108-95-2>
phenolic compounds
phenoxyacetic acid<122-59-8>
phenyl ethyl disulfide
phenylacetic acid<103-82-2>
phenylpropionic acid
phosphoric acid tributyl ester
   <126-73-8>
phosphoric acid, trioctyl ester
   <1806-54-8>
phosphoric acid, triphenyl ester
   <115-86-6>
phosphoric acid, tris(3-methylphen
   yl) ester<563-04-2>
phosphoric acid, trisCmethylphenyl
   ) ester<1330-78-5>
phthalate diester
phthalate ester
phthalic acid, 2-butoxyethyl
   butyl ester<33374-28-6>
phthalic acid, butyl isobutyl
   ester
phthalic acid,butyl methyl ester
   <34006-76-3>
phthalic acid<88-99-3>
phthalic anhydride<85-44-9>
phthlate (unidentified ester)
plmeric acid
pinene isomer
piperidine, 3-raethyl-l-nitroso-
   <13603-07-1>
pococarp-8(14)-en-15-oic acid,
   13.alpha.-raethyl-13-vinyl-,
   methyl
   ester
                         724

-------
                         Accession No.  6404000110
                  (cont)
podocarp-3(l4)-en-15~oic acid, 13-
   isopropylldene-, methyl
   ester<3310-97-2>
podocarp-7-en~15-oic acid,
   13.beta.-methy1-13-vinyl-,
   (-)-<5835-26-7>
po<3ocarp-8(14)-en-15-oic acid,
   13.alpha.-methy1-13-vinyl
   <127-27-5>
podocarpa-7,13-dlen-15-olc acid
   13 isopropyl-,methylester
   <127-2S-3>
podocarpa-B,11,13-trlen-15-olc
   acid, 13-isopropyl-, raethyl
   ester<1235-74-l>
po docarpa-8*11,13-tr1en-15-o ic
   acid, 13-lsopropyl-<1740-19-8>
polychlorlnated naphthalenes
polysaccharide
propachlor<1918-16-7>
propane, 1,1,1-trichloro-
   <7789-89-l>
propane, l,l-diethoxy-<4744-08-5>
propane, 2,2*-oxybist2-methyl-
   <6163-66-2>
propane, 2-bromo-l-chloro-
   <3017-95-6>
propanil<709-98-8>
propanoic acid, 2-(4-chlorophenoxy
   )-2-methyl-<882-09-7>
propanol, (2-methoxyraethylethoxy)-
   <34590-94-8>
propanol, C2-(2-methoxyniethylethox
   y)methylethoxy3-<25498-49-l>
propionic acid<79-09-4>
proplybenzene<103-65-l>
propylnaphthaiene
protein
protein non-dlalyzable (NX6.25)
prpoanediolc acid<141-82~2>
pslcose<23140-52-5>
pyrazine, 2, 3-dimethyl-<5910-89-t4>
pyrene, l-methyl-<2381-21-7>
pyrene<129-00-0>
pyridlne or pyridine-type
   compounds
pyridlne, 3-chloro-<626-60-8>
pyridlne, raethyl-<1333-41-l>
pyrldine, pentachloro-<2176-62-7>
pyrlmidine, 4,6-dimethyl-
   <1558-17-4>
pyrrole or pyrrole derivatives
quinoline, 2,6-dimethyl-<877-43-0>
guinoline<91-22-5>
raf£inose<512-69-6>
rediclng sugar
reducing sugars as glucose
rhamnose
ribose
rosin-type organic compounds
s,s,s-trlbuty1 phosphorotrithioate
   <78-48-8>
s-hydrin<3acene, 1,1,4,7,7,8-
   hexamethyl-<17465-58-6>
s-triazine, 2,4-bis(lsopropylai8ino
   )-6-methoxy<1610-18-0>
saccharin<81-07-2>
sandaracopimeric acid
sec-butyl methyl phthalate
silane, ethenyldiethylmethyl-
   <18292-29-0>
silicones
silvex<93-72-l>
sifflazine<122-34-9>
sorbose
srotene
strobane<8001-50-l>
strong organic acids
styrene<100-42~5>
sucrose<57-50-l>
t-butyl aethyl phthalate
tannin
tde<72-54-8>
terpene-4-ol
terphenyl<26140-60-3>
terpinene 4-ol
terpineol isonier
terpineol<8000-41-7>
tetrachloroacetone
tetrachloroanisole
tetrachlorobenzene
tetrachlorobenzenes (two)
tetrachlorobiphefiyi Isoiaer
tetrachlorobutadiane
tetrachlorobutadiene isoraers
tetrachlorobutadienne
tetrachlorocyclopentene isomer
tetrachloroethane
tetrachloroethene<127-18-4>
tetrachloroethylene<127-18-4>
tetrachloroethylstyrene
tetrachloromethoxytoluene
tetrachlorophenol isomer
tetrachlorophthai ate derivative
                         725

-------
                         Accession No.  6404000110
                  (cont)
te trachloroveratrole
tetracosane< 646-31-l>
tetracosanoic acid<557-59-5>
tetradecane<629-59-4>
tetradecanoic acid/ methyl ester
   <124-10-7>
tetradecanoic acid<544-63-8>
tetrahydofuran
tetrahydro-2h-pyran<142-68-7>
tetrahydrofuran-2/5-dicarboxylic
   acid
tetrahydropyrene
te traraethylbenzene isomer
tetramethyIblphenyl
tetrapropylene glycol/ monoroethyl
   ether
tetratin substituted with two
   saturated carbons
theobromine<83-67-0>
thicbisroethane<75-18-3>
thiophene/ 2/5-diethyl-<5069-23-8>
thyir,idine<50-89-5>
toluene<108-88-3>
total snethylene chloride-extractab
   le organic compounds
toxaphene<8001-35-2>
trans-1, 10-diraethyl-trans-9-
   decalol
trans-3-heptenoic acid
trans-coaimunic acid
tribroraomethane<75-25-2>
trichloro-.alpha.-methylbenzyl
   alcohol
trichloro-n-methylanisole
trichloroanisole
trichlorobenzene isoraer
trichlorobenzenes
trichlorobenzenes (two)
trlchlorobutane
trlchlorocumene
trichlorocyclopentene (four
   isomers)
trlchlorocyclopentene isomers
trichlorodimethoxybenzene
trichloroethylbenzene
trichloroethylene<79-01-6>
tr ichlorofluoromethane<75-69-4>
trichloroguaiaco1
trichloroheptane
trichlorohexane
trichlororaethoxybenzoic acid
trichloromethylstyrene
trichloropentane
trlchloropentane Isomers
trichlorophenol (TCP)<25167-82-2>
trichlorophthalate derivative
trichloropropane
trichlorctrifluoroethane
trichloroveratrole
tricosan€<638-67-5>
tricosene
tridecane/ 7-hexyl-<7225-66-3>
tridecane<629-50-5>
tridecanoic acid/ 12-raethyl-
   <2724-57-4>
tridecanoic acid<638-53-9>
triethyl ester phosphoric acid
   <78-40-0>
triethylamine<121-44-8>
triethylene glycol/ t-butyl ether
triraethylbenzene isomer
trimethylnaphthalene (5 Isomers)
trimethylnaphthalene(7 isomers)
triphenylene
triphenylene<217-59-4>
tripropylene glycol/ methyl ether
tripropylene glycol/ methyl ether
   (3 isomers)
tripropylene glycol/ monoethyl
   ether isomer
tripropylene glycol/ monomethyl
   ether (5 isomers)
tripropylene glycol/ monomethyl
   ether(four isoraers)
trisulfide/ dimethyl<3658-80-8>
trlterpene
triunsaturated analog of octadecan
   oic acid
tropolone<533-75-5>
two dichlorobiphenyl isomers
two ethyl esters of long chain
   saturated acids
undecane/ branched isomer
undecane<1120-21-4>
undecanoic acid<112-37-8>
unidentified aromatic similar to
   methyl isoeugenol (m«:178)
unidentified aromatic/ molecular
   weight 166
unidentified aromatic/ molecular
   weight 168
unidentified aromatic/ molecular
   weight 196
                         726

-------
Accession M
                                            6404000110
(cont)
    unidentified diunsaturated C19.
       fatty acid methyl ester
    unidentified ester* molecular
       height 262
    unidentified ester, molucular
       Height 280
    unidentified monounsaturated c!9.
       fatty acid methyl ester
    unidentified nonaromatic^
       molecular weight 196
    unidentified phthalate diester
    unidentified resin acid
    unidentified resin acid a-g
    unidentified resin acid, molecular
        weight 314
    unidentified terpene alcohol
    unidentified terpeae ketone a-d
            unidentified unsaturated fatty
               acid
            unidentified* apparent molecular
               weight 103
            uracil
            urea, triethyl-Cl9006-59-8>
            urea<57-13-6>
            urethane<51-79-6>
            veratric acid* methyl ester
               <2150-38-l>
            vinyl acetate<108-05-4>
            vinyl chloride<75-01~4>
            weak organic acids
            xanthine, l-snethyl-<6136-37-4>
            xanthine, 3-raethyi-<1076-22-8>
            xylene<1330-20-7>
            xylose
(CAS)  CAS registry numbers of substances included in data base: 98-06-6
    ; 135-98-8; 360-68-9; 147-14-8;   373-49-9; 3734-49-4; 98-85-1;
    643-58-3; 56667-01-7; 4920-95-0;   7383-90-6; 643-93-6; 101-81-5;
    68758-61-2; 101-84-8; 142-96-1;   127-63-9; €30-20-6; 116-16-5;
    71-55-6; 79-34-5; 79-01-6; 105-57-7;    119-64-2; 488-23-3;
    527-53-7; 102-76-1; 96-18-4? 526-73-8; 120-82-1;       95-93-2;
    131-70-4; 84-69-5; 84-61-7? 26761-40-0; 27554-26-3;     15448-99-4;
    95-50-1; 107-06-2; 540-59-0; 78-87-5; 563-54-2; 93-15-2;
    91-16-7; 122-60-1; 107-21-1; 470-82-6; 87-40-1; 108-67-8;
    13877-91-3;      99-62-7; 14523-89-3; 107-38^0; 542-92-7; 542-75-6;
    108-57-6;     141-93-5; 4359-46-0; 6753-98-6; 100-21-0; 100-18-5;
    106-46-7;    105-05-5; 505-29-3; 15980-15-1; 111-78-4; 111-89-7;
    483-78-3;    490-65-3; 88-15-3; 498-02-2; 99-93-4; 121-97-1;
    122-00-9; 107-04-0;   924-16-3; 88-73-3; 121-73-3; 112-30-1;
    872-05-9; 112-41-4; 6765-39-5;      629-73-2; 111-27-3; 16106-59-5;
    107-98-2; 104-46-1; 140-67-0;    88-72-2; 99-08-1; 138-86-3;
    470-67-7; 99-99-0; 483-65-8; 90-12-0;     124-11-8; 112-88-9;
    111-88-6; 111-87-5; 111-66-0; 13360-61-7;    4799-62-6; 71-41-0;
    2088-07-5; 19064-69-8; 55956-21-3; 13133-29-4;    71-23-8;
    1835-04-7; 590-21-6; 2233-00-3; 563-47-3; 499-12-7;     1120-36-1;
    2437-56-1; 821-95-4; 2243-98-3; 112-38-9; 238-84-6;   243-17-4;
    514-10-3; 471-77-2; 2613-76-5; 17057-82-8; 54340-87-3;
    54340-88-4; 767-58-8; 824-63-5; 6682-71-9; 824-22-6; 874-35-1;
    767-60-2; 29036-25-7; 120-72-9; 288-13-1; 127-91-3; 149-30-4;
    20019-64-1; 108-20-3; 111-48-8; 75-99-0; 463-82-1; 58-90-2;
    96-13-9;       83-33-0; 496-11-7; 529-16-8; 1120-97-4; 789-02-6;
    95-95-4; 93-76-5;   93-72-1; 528-90-5; 88-06-2; 487-68-3; 108-75-8;
    120-95-6; 94-75-7;    50-84-0; 120-83-2; 94-75-7; 105-67-9;
    121-14-2; 143-24-3; 112-49-2;   95-87-4; 110-13-4; 3389-71-7;
    3470-97-1; 489-01-0; 128-37-0;     128-39-2; 108-82-7; 108-48-5;
    606-20-2; 121-00-6; 88-69-7; 143-22-6;       112-50-5; 112-34-5;
    111-90-0; 90-43-7; 563-80-4; 111-76-2; 95-51-2;   118-91-2;
    115-96-8; 17299-41-1; 1123-09-7; 1193-18-6; 17429-29-7;
    930-68-7; 119-42-6; 488-10-8; 533-67-5; 110-80-5; 104-76-7;
    88-09-5;       149-57-5; 90-00-6; 98-00-0; 626-93-7; 591-78-6;
                             727

-------
                         Accession No.  6404000110     (cont)

90-02-8; 69-72-7;     50-21-5; 86-26-0; 97-54-1; 97-53-0; 109-86-4;
118-96-7; 75-85-4;      75-66-1; 75-65-0; 99-49-0; 118-90-1;
116-53-0; 91-57-6; 97-61-0;      78-84-2; 78-82-0; 79-31-2;
93-09-4? 88-75-5; 2371-42-8; 1632-73-1;    1195-79-5; 497-38-1;
107-87-9; 122-99-6; 90-27-7; 515-00-4;      1638-16-0; 623-69-8;
13429-07-7; 55956-25-7; 20324-33-8; 632-21-3;    872-50-4; 98-03-3;
7169-34-8; 75-97-8; 95-76-1; 120-14-9; 95-65-8;    471-01-2;
499-06-9; 108-68-9; 78-70-6; 78-69-3; 88-32-4; 108-42-9;
77-67-8; 597-96-6; 623-37-0; 589-38-8? 7319-23-5; 123-51-3;
77-74-7;       99-04-7; 503-74-2; 108-99-6; 56-49-5; 105-43-1;
106-68-3; 1577-19-1;       625-33-2; 104-54-1; 3387-41-5; 72-55-9;
50-29-3; 19377-97-0;     534-52-1; 140-66-9; 536-66-3; 74-11-3;
106-48-9; 536-75-4; 123-19-3;       134-96-3; 306-08-1; 121-34-6;
121-33-5; 123-42-2; 156-38-7; 123-08-0;      100-09-4; 123-11-5;
513-23-5; 119-33-5; 108-11-2; 141-79-7; 70-55-3;       19700-21-1;
506-32-1; 104-90-5; 57-43-2; 50-06-6; 2294-72-6;     110-93-0;
123-35-3; 205-12-9; 31642-67-8; 84-65-1; 10030-73-6;   1120-25-8;
112-80-1; 1937-62-8; 86-74-8; 56025-96-8; 57345-30-9;      83-32-9;
208-96-8; 75-07-0; 76-49-3; 64-19-7; 67-64-1; 1197-09-7;
98-86-2; 55030-65-4; 6267-02-3; 124-04-9; 15972-60-8; 309-00-2;
81-88-9; 1142-15-0; 613-12-7; 781-43-1; 779-02-2; 120-12-7;
147-81-9;      1912-24-9; 275-51-4; 100-52-7; 634-93-5; 5650-10-2;
3622-84-2;   1077-56-1; 1985-57-5; 2049-95-8; 19262-20-5;
2719-52-0; 4536-88-3;    6031-02-3; 2132-86-7; 28080-86-6;
1007-26-7; 19219-85-3; 4705-34-4;   14800-16-9; 1460-02-2;
33962-13-9; 5379-20-4; 933-98-2; 17851-27-3;   874-41-9; 611-14-3;
934-74-7; 620-14-4; 622-96-8; 54410-74-1;    1074-17-5; 1074-43-7;
1074-55-1? 637-50-3; 15359-99-6; 2870-04-4;     1758-88-9;
4994-16-5; 934-80-5; 610-39-9; 1331-31-3; 25167-93-5;
827-52-1; 26249-12-7; 29797-40-8; 25550-13-4; 54120-62-6;
25550-14-5;      1321-12-6; 1081-77-2; 2189-60-8; 1825-21-4;
25551-13-7; 6742-54-7;    12002-48-1; 71-43-2; 101-97-3; 7315-68-6;
1821-12-1; 100-51-6;   2270-20-4; 501-52-0; 56-55-3; 50-32-8;
95-15-8; 203-12-3; 939-48-0;   611-01-8; 610-72-0; 1421-49-4;
136-60-7; 93-58-3; 25567-10-6;    93-99-2; 65-85-0; 615-22-5;
95-16-9; 58-89-9; 280-33-1; 286-76-0;     28680-45-7; 13877-93-5;
92-52-4; 259-79-0; 111-91-1; 111-44-4;   39638-32-9; 112-36-7;
117-81-7; 542-88-1; 507-70-0; 108-86-1;    28906-38-9; 74-97-5;
75-27-4; 23184-66-9; 590-86-3; 123-72-8;    106-97-8; 819-97-6;
595-37-9; 14287-61-7; 565-70-8; 1070-83-3;   29006-01-7; 109-21-7;
25167-67-3; 123-86-4; 85-68-7; 85-70-1;    104-51-8; 20442-06-2;
30275-76-4; 107-92-6; 58-08-2; 79-92-5;    76-22-2; 499-75-2;
63-25-2; 75-15-0; 56-23-5; 75-87-6; 57-74-9;       108-90-7;
542-18-7; 124-48-1; 75-00-3; 67-66-3; 74-87-3; 126-99-8;
57-88-5; 218-01-9; 89-78-1; 60-33-3; 191-07-1; 486-56-6; 4170-30-3;
98-82-8; 21725-46-2; 506-77-4; 110-82-7; 4840-76-0; 98-89-5;
108-93-0; 7764-50-3; 873-94-9; 108-94-1; 586-62-9; 591-48-0;
110-83-8; 2146-37-4; 25144-05-2; 1120-72-5; 1757-42-2; 706-78-5;
142-29-0; 287-92-3; 50-99-7; 49622-18-6; 124-18-5; 122-62-3;
109-43-3; 111-20-6; 334-48-5; 104-72-3; 84-74-2; 117-84-0;
333-41-5;       132-64-9; 132-65-0; 124-48-1; 84-74-2; 1194-65-6;
25321-22-6;    594-04-7; 75-09-2; 60-57-1; 110-81-6; 84-66-2;


                         728

-------
                         Accession Ho.  6404000110     (cont)

109-87-5; 131-11-3?    25321-14-6; 123-91-1; 1331-09-5; 119-61-9;
624-92-0; 882-33-7;   629-97-0; 929-77-1; 112-85-6; 112-40-3;
111-82-0; 143-07-7; 506-30-9;      112-95-8; 72-20-8; 629-14-1;
25620-62-6; 1300-21-6; 26523-64-8;       75-08-1; 54446-78-5;
713-46-2; 64-17-5; 645-13-6; 1009-61-6;     2478-38-8; 2142-66-7;
25323-30-2; 141-78-6; 60-29-7; 100-41-4;   206-44-0; 86-73-7;
761-65-9; 617-84-5; 64-18-6; 11126-05-9; 98-01-1;       629-94-7;
6064-90-0; 630-04-6; 1024-57-3; 76-44-8; 593-49-7;     629-78^7;
1731-92-6; 506-12-7; 629-06-1; 111-14-8; 25339-56-4;   1188-02-9;
552-62-5; 118-74-1; 87-68-3; 77-47-4; 67-72-1; 70-30-4;
630-01-3; 57-10-3; 544-76-3; 2490-49-5; 628-97-7; 112-39-0;
121-82-4;      105-60-2; 589-43-5; 110-54-3; 111-69-3; 103-23-1;
849-99-0; 123-79-5;      142-62-1; 79-14-1; 17334-55-3; 104-98-3;
6682-06-0; 95-13-6;     193-39-5; 124-76-5; 538-93-2; 75-13-8;
78-59-1; 1686-62-0; 67-63-0;   542-85-8; 9005-53-2; 112-63-0;
537-92-8; 108-39-4; 535-77-3;     108-38-3; 121-75-5? 90-64-2;
587-85-9; 54889-98-4; 67-56-1;      55299-12-2; 72-43-5; 112-35-6;
126-98-7; 78-93-3; 108-10-1; 80-62-6;       1686-54-0; 67-71-0;
67-68-5; 96-37-7; 91-66-7; 68-12-2; 127-19-5?     71-36-3; 84-74-2;
111-92-2; 80-39-7; 924-16-3; 122-39-4; 1985-59-7;   22824-32-4;
21693-51-6; 25419-33-4; 1559-81-5; 13065-07-1; 3877-19-8;
2809-64-5; 1680-51-9? 3876-97-9; 3031-08-1; 17057-91-9; 575-41-7;
2131-41-1; 2131-42-2; 55000-53-8; 571-58-4; 571-61-9; 2245-38-7;
575-43-9; 569-41-5; 17085-91-5; 16727-91-6; 2489-86-3; 1634-09-9;
1127-76-0; 2216-69-5; 829-26-5; 581-40-8; 581-42-0; 582-16-1;
2876-35-9; 2027-17-0; 613-59-2; 1134-62-9; 939-27-5; 54774-89-9;
28804-88-8; 1321-94-4; 28652-77-9; 91-20-3; 54-11-5; 98-95-3;
75-52-5; 630-03-5; 629-92-5; 1731-94-8; 645-30-0; 124-19-6;
111-84-2;      103-24-2; 112-05-0; 27215-95-8; 95-48-7; 90-05-1;
95-47-6; 630-02-4;       593-45-3; 112-61-8; 57-11-4; 469-92-1;
7146-60-3; 3971-33-3;     505-48-6; 55193-79-8; 124-07-2; 112-62-9;
4584-63-8; 719-22-2;   106-44-5; 99-87-6; 4821-04-9; 562-74-3;
98-55-5; 586-82-3;       10458-14-7; 54932-78-4; 106-42-3;
611-59-6; 12674-11-2; 53469-21-9;   12672-29-6; 11097-69-1;
11096-82-5; 608-93-5; 76-01-7; 87-86-5;       629-99-2; 629-62-9;
4669-02-7; 7132-64-1; 1002-84-2; 1674-33-5;       109-66-0;
4839-46-7; 110-94-1; 816-66-0; 646-07-1; 109-52-4;     630-07-9;
25377-72-4; 538-68-1; 127-18-4; 198-55-0; 23189-64-2;
3674-73-5; 776-35-2; 31711-53-2; 85-01-8; 3674-75-7; 27193-28-8;
4130-42-1; 2078-54-8; 576-26-1; 2409-55-4; 949-13-3; 585-34-2;
1943-95-9; 637-89-8; 25154-52-3; 25167-83-3; 108-95-2; 122-59-8;
103-82-2; 126-73-3; 1806-54-6; 115-86-6; 563-04-2; 1330-78-5;
33374-28-6; 17851-53-5; 34006-76-3; 88-99-3; 85-44-9; 13603-07-1;
3310-97-2; 5835-26-7; 127-27-5; 127-25-3; 1235-74-1; 1740-19-8;
1918-16-7; 7789-89-1; 4744-08-5; 6163-66-2; 3017-95-6; 709-98-8;
882-09-7; 34590-94-8; 25498-49-1? 79-09-4; 103-65-1; 141-82-2;
23140-52-5; 5910-89-4; 2381-21-7; 129-00-0; 626-60-8; 1333-41-1;
2176-62-7; 1558-17-4; 877-43-0; 91-22-5; 512-69-6; 78-48-8;
17465-58-6; 1610-18-0; 81-07-2; 18292-29-0; 93-72-1; 122-34-9;
8001-50-1; 100-42-5; 57-50-1; 72-54-8; 26140-60-3; 8000-41-7;
127-18-4; 127-18-4; 646-31-1; 557-59-5; 629-59-4; 124-10-7;
544-63-8;      109-99-9; 142-68-7; 83-67-0; 75-18-3; 5069-23-8;


                         729

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                             Accession No.   6404000110     (cont)

    50-89-5; 108-88-3;   8001-35-2; 75-25-2; 79-01-6; 75-69-4;
    25167-82-2; 638-67-5;      7225-66-3; 629-50-5; 2724-57-4;
    638-53-9; 78-40-0; 121-44-8;     217-59-4; 3658-80-8; 533-75-5;
    1120-21-4; 112-37-8; 19006-59-8;       57-13-6; 51-79-6; 2150-38-1;
    108-05-4; 75-01-4; 6136-37-4; 1076-22-8;      1330-20-7
(CNM)  Contact name(s): AlfordsA. ;    Potenzone,R.   ;    Alford, A,
CROR)  Responsible Organization: Office of  Research and
    Development*Office of Environmental Processes and Effects Rese
                             730

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                             Accession No.   6404000112

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Four Mile Creek-Iowa
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model:  Runoff  agricultural
    ;Sediment ;Soil ^Surface water  runoff events  and stream  samp
(ABS)  Abstract/Overview of  Data Base  or Model: The study encompassed
    the collection of data within the  Four Kile Creek Watershed on
    precipitation/ surface and subsurface flow/ sediment (including
    size  fractions)/ and nutrient  and pesticide  concentrations   from
    intensively cropped agricultural watersheds   ranging in  size  from  a
    few hectares to several  square   kilometers*   Data on cropping
    practices and fertilizer and pesticide applications  are  available.
    Also/  soil profile data were taken throughout  the  cropping
    season for residue analysis.
(CTC)  CONTACTS: Subject matter   James L. Baker   (515)  865-4131  ;
    Computer-related  David  M. Cline  (404) 546-3123 ;  EPA Office
    Charles N. Smith (404) 546-3565#
(DTP)  Type of data collection or monitoring: Non point  source data
    collection
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances  represented in Data Base: 11 conventional
    water ;41 CWA potential  criteria  ;29 drinking water  monitoring
(NPP)  Non-pollutant parameters included in  the data base: Chemical
    data Collection method  ^Concentration measures ;Flou rates ;
    Geographic subdivision /Location  /Physical data /Precipitation ;
    Sampling date ;Site description /Temperature  /Test/analysts method
    ;  Volume/mass measures
(DS)  Time period covered by data base: 07-01-75  10 12-30-80
(TRM)  Termination of data collection: 12/30/80
(FRQ)  Frequency of data collection or sampling:  less than hourly
    sampling during runoff events ;daily ;as needed
(NOB)  Number of observations in data  base:  50000.(Estimated)
(INF)  Data base includes: Raw data/observations  /Summary aggregate
    observations
(NTS)  Total number of stations or  sources covered in data base:  8.
(NCS)  No. stations or sources currently originating/contributing data:
    8.
(NQF)  Number of facilities  covered in data  base  (source monitoring):  (N
    /A.)
(GEO)  Geographic coverage of data base: County/smaller  location  Four
    Mile Creek Watershed; Tama County/ Iowa
(LOC)  Data elements identifying location of station or  source include:
    State /County /watershed network
(FAC)  Data elements identifying facility include:  N/A
(LIM)  Limitation/variation in data of which user should be  aware: None
(DPR)  Data collect./anal, procedures  conform to  GRD guidelines:  Samplin
    g plan documented /Collection method documented /Analysis  method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but are  not
    included in data base


                             731

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                             Accession No.   6404000112      (cont)

(EOT)  Editting:  Edit procedures  used but undocumented.
(CBY)  Data collected by:  Iowa State University
(ABY)  Data analyzed by:  EPA lab  Environmental  Research  Lab-Athens,  GA
    and  Iowa State University
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Technology development
(PR2)  Secondary  purpose  of data  collection:  research and development
    on the effectiveness  of agricultural         manageraen
(AUT)  Authorization for  data collection:  Statutory authorization  is P
    L 92-500 (Clean Water Act-CMA)
(OMB)  Data collected/submitted using QMS-approved EPA  reporting forms:
    QQ
(REP)  Form of available  reports  and outputs of data base:  Publications
    "Nutrient and Pesticide Movement from Field to Stream:   A  Field
    Study."  By J.L. Baker H.P. Johnson   M.A.  Borcherdlng,  and W.R.
    Payne.  Published in  Best Management  Practices for  Agricultural
    and Silviculture. Proceedings of 1978 Cornell Agricultural Waste
    Management Conference.  Ann Arbor Science Publ. 1979.
    Unpublished reports Pesticide and Nutrient  Runoff From
    Agricultural  Watersheds in Cornbelt
    Machine-readable raw  data
    Completed report:  Field-to-Stream Transport of Agricultural
    Chemicals and Sediment in an  Iowa Watershed: Part I.  Data Base
    for Model Testing (1976-1978), EPA-600/53-82-032# Field-to-Stream
    Transport of  Agricultural Chemicals and Sediment in  an Iowa
    Watershed: Part II.  Data Base for Model Testing (1979-1980),  Final
    Draft near completion 01/83.#
(NUS)  Number of  regular  users of data base:  5
(USR)  Current regular users of data base:  EPA  laboratories
    Environmental Research Lab-Athens, GA
    consulting firms/universities (Anderson-Nichols, Hydrocomp, Inc.,
    Simons Li and Associates
(CNF)  Confidentiality of data and limits on access: No  limits on
    access to data
(DLC)  Primary physical location  of data:  EPA lab
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: Commercial software INFORH-11 ;EPA hardware
    PDP-11
(CHG)  Direct charge for  non-EPA  use: no
(UPDT)  Frequency of data base master file  up-date: Annually
(RSS)  Related EPA automated systems which  use  data base:  models:
    Agricultural  Runoff and Management  (ARM) Model; Nonpoint  Source
    (NPS) Model;  Hydrologic   Simulation Program—FORTRAN (HSP-F)  Model
(CMP)  Completion of form:
    Charles N. Smith
    OFC: EPA/(ORD)/(QEPER)/(ERL-A)
    AD: College Station Rd, Athens, GA 30613
    PH: (404) 546-3565
(DF)  Date of form completion: 01-13-83
(NMAT)  Number of substances represented in data base:  13
(NCAS)  Number of CAS registry numbers in data  base: 10
                             732

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                             Accession No.  6404000112     (cont)

(HAT)  Substances represented in data base:
    nitrogen<7727-37-9>                  nitrate<14797-55-8>
    phosphorus<7723-14-0>                nitrates/nitrites
    suspended solids                     par aquat<4685-14-7>
    alachlor                             phosphorus and compounds
       <15972- atrazine<1912-24-9>          <7723-14-0>
    cyanazine<21725-46-2>                propachlor<1918-16-7>
    metribuzin
(CAS)  CAS registry numbers of substances included in data bases 7727*37
    -9; 7723-14-0> 21725-46-2? 14797-55-8|      4685-14-7; 7723-14-0j
    1918-16-7
(CNM)  Contact name(s): Baker/J.L.;    Cllne/O.M.;    Smith/C.N.
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Processes and Effects Rese
                             733

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                             Accession No..   640400G113

(OQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Modal:  Matkinsville Runoff  Data
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model!  Runoff Agricultural
    ;Sediment ;Soil ^Surface water  Runoff events
(ABS)  Abstract/Overview of  Data Base or Models Data were collected
    from four small     watersheds  (1«3 to 2,7  hectares)  cropped  with
    either   soybeans/ corn, or grain sorghum*   THO watersheds were
    managed without conservation measures while the other two were
    parallel-terraced including .grass waterways.  On© watershed Has
    converted to no-till prior to the    last year of the study.   The
    data base includes records     of rainfall-runoff events,? flow,
    sediment, herbicide   runoff (water and  sediment analysis),
    nitrogen and     phosphorus runoff, soil residue analysis, rainfall
    amount, evaporation, and documented field operation   and
    management systems.
(CTC)  CONTACTS; Subject matter   Charles N. Smith  (404)546-3565 ;
    Computer-related  David
(DTP)  Type of data collection or monitoring: Son point source data
    collection
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances  represented in Data Bases 11  conventional
    water ?41 CHA potential  criteria ?21 drinking water standards \  29
    drinking water monitoring |299  hazardous substances $48  cancelled
    pesticides ;    16 Pre-RPAR
(NPP)  Kon-pollutant parameters included in  the data bases Chemical
    data ^Collection method  ^Concentration measures jFlow rates /
    Location ^Physical data  iPrecipitation jSanpling data fSite
    description >  Temperature >Test/analysis method ^Volume/mass
    measures
CDS)  Time period covered by data base; 09-01-71 TO 07-30-76

(INF)  Data base includes: Ran data/observations /Summary aggregate
    observations
(UTS)  Total number of stations or sources covered in data base:  4.
(NCS)  No. stations or sources currently originating/contributing data:
    4.
(HOP)  Dumber of facilities  covered in data  base (source  monitoring): (H
    /A.)
(GEO)  Geographic coverage of data base! County/smaller location  Qconee
    County Southern Piediaont
(LOC)  Data elements identifying location of station or source include:
    State ^County
(FAC)  Data elements identifying facility include; Program identifier
(CDE)  Pollutant identification data are: Other coding  scheme
(LIN)  Limitation/variation  in data of which user should  be  aware: Hone
(DPR)  Data collect./anal. procedures conform  to ORD guidelines:  Samplin
    g plan documented ^Collection method documented ^Analysis method


                             734

-------
                             Accession Ho.   6404000113      (cont)

    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods?  YES
(AUD)  Lab Audit:  Lab audit is satisfactory.
(PRE)  Precision:  Precision and accuracy estimates exist but are not
    included in data base.
(EOT)  Editting: Edit procedures used but undocumented.
(C8Y)  Data collected by: EPA lab Athens Environmental  Research
    Laboratory ;other federal agency U.S. Dept Piednont  Conservation
    Research Center
(ABY)  Data analyzed by:  EPA lab Athens Environmental Research
    Laboratory
    Other federal  agency U.S. Dept.  of Agriculture Southern    Piedmont
    Conservation Research Center
(IDL)  Laboratory  identification: YES
(PR1)  Primary purpose of data collection:  Technology development
(PR2)  Secondary purpose of data collection: Research on pollutant
    behavior under field conditions
(AUT)  Authorization for data collection: Statutory authorization  is  P
    L 92-500
(OMB)  Data collected/submitted using OMB-approved EPA  reporting  forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    "Transport of Agricultural Chemicals from Small     Upland  Piedmont
    Watersheds" by Smith, Leonard, Langdale, and Bailey EPA
    600/3-78-056
    Machine-readable raw data
(NUS)  Number of regular users of data base: 1600
(USR)  Current regular users of data base:  Hydrocomp, Inc., Tetra  Tech,
    Inc./ GKY and Associates
    Colorado state University, Cornell University, Anderson-Nichols,
    Inc., Simons Li and Associates
    EPA laboratories Athens Environmental Research Lab
    EPA laboratories, U.S. Dept. of  Agriculture
(CNF)  Confidentiality of data and limits on access: No limits  on
    access to data
(CLC)  Primary physical location of  data: EPA lab
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: Commercial software INFGRM-11
(CHG)  Direct charge for non-EPA use: No
(UPDT)  Frequency of data base master file up-dat«: Other None, data
    file is complete
(CMP)  Completion of form:
    Charles N. Smith
    OFC; BPA/ORO, Environmental Res.  Lab
    AD: College Station Rd. Athens,  Ga. 30613
    PH: (404)546-3565
(DF)  Date of form completion: 01-25-83  .
(NMAT)  Number of substances represented in data base:  11
(NCAS)  Number of CAS registry numbers in data base: 3
                             735

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                             Accession Ho.   6404000113     (cent)

(MAT)  Substances represented in data base:
    2,4-d acid<94-75-7>                  paraquat<4685-14-7>
    atrazine                  phosphorus<7723-14-0>
    cyanazine<21725-46-2>                propazine
    diphenamld                           suspended solids
    nitrate<14797-55-8>                  trifluraline (treflan)<1582-09-8>
    nitrogen<7727-37-9>
(CAS)  CAS registry numbers of substances included in data base:  94-75-7
    ; 1912-24-9;  21725-46-2; 14797-55-8;    7727-37-9> 4685-14-7;
    7723-14-0; 1582-09-8
(CNH)  Contact narae(s): Smith,C.N.;    Cline,D.  ?    Snith/C.N.
(ROR)  Responsible Organizations Office of  Research and
    Development.Office of Environmental Processes and Effects Rese
                             736

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                             Accession No.   6404000132

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model;  Sandusky River  Basin/Heidelburg
    College
(ACR)  Acronym of Data Base  or Model:  SANDUSKY
(MED)  Media/Subject of Data Base or Model: Surface water
(ABS)  Abstract/Overview of  Data Base  or Model:  This data  base  includes
    data collected at 9 USGS  stations in the Sandusky  River Basin,
    Ohio/ and at the mouth     of the  Maumee/ Portuge and  Huron Rivers.
    The data were collected      to study nutrient  and sediment
    transport to Lake Erie.   Betneen  four  and six years (1974-1979)  of
    daily sample were analyzed     for dissolved reactive  phosphorus/
    total phosphorus/ suspended   solids/ nitrate  and nitrite nitrogen/
    ammonia nitrogen/ con-     ductivity/ pH/ chloride  and fotal
    Kjeldahl Nitrogen.  The    data have been entered in STORET.
(CTC)  CONTACTS: Subject matter  Dr. David  B. Baker/ Heidelburg
    College;     Computer-related  S
(DTP)  Type of data collection or monitoring: Combination/Other data
    collection ambient/nonpoint source
(STA)  Data Base status: Discontinued
(SRP)  Groups of substances  represented in  Data Base: 11 conventional
    water
(SPP)  Non-pollutant parameters included in the data base:  Chemical
    data ;Elevation ;Flou rates ; Geographic subdivision ;     Location
    ;Sampling data /Site description
(DS)  Time period covered by data base: 01-01-74 TO 12-31-79
(TRM)  Termination of data collection: Occurred 12/31/79
(FRQ)  Frequency of data collection or sampling: daily
(NOB)  Number of observations in data  base: 285536(Actual)
(NEI)  Estimated annual increase of observations in data base:  (N/A)
(INF)  Data base includes: Raw data/observations ;Summary  or aggregate
    observations ^Reference  data/citatio
(NTS)  Total number of stations or sources  covered in data base: 12
(NCS)  No. stations or sources currently originating/contributing data:
    1
(NQF)  Number of facilities  covered in data base (source monitoring): (N
    /A)
(GEO)  Geographic coverage of data base: Geographic region Sandusky
    River Basin/ southwest shore  Lake Erie.
(LOC)  Data elements identifying location of station or source  include:
    State ;County Coordinates latitude/longitude  ;Cther-USGS station
    number
(FAC)  Data elements identifying facility include: Other-N/A
(CDS)  Pollutant identification data are: Storet parameter
(LIM)  Limitation/variation  in data of which user  should be auare: Users
    should read report describing data.
(DPR)  Data collect./anal, procedures  conform to ORD guidelines: Sanpiin
    g plan documented Collection method documented /Analysis method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods?  VES
(AUD)  Lab Audit: Lab audit  is not based on lab analysis
(PRE)  Precision: Precision  and accuracy estimates exist but are not
    included in data base


                             737

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                              Accession Mo.   6404000132      (cont)

*(EDT)   Edltting:  Edit  procedures  used but undocumented
 (CBY)   Data  collected  by:  Other-Heidelburg  College,  Tifton,  Ohio
 (ABY}   Data  analyzed by:  Other-Heldelburg College, Tifton,  Ohio
 CIDL)   Laboratory Identification:  YES
 (AUT)   Authorization for  data collection: Statutory  authorization  is  PL
     92-EOO
 (OMB)   Data  collected/submitted using OMB-approved EPA reporting forms:
     QQ
 (REP)   Form  of  available  reports  and outputs  of  data base:  Publications
     -  In  review
     Unpublished reports - Fluvial  Transport and  Processing     of
     Sediments and Nutrients  in Large Agricultural River  Basins.
     Other-STORE!
 (NUS)   Number of  regular  users of  data base:  4
 (USR)   Current  regular users of data base:  EPA regional  offices
     EPA laboratories
     Other federal agencies
     States
 (CNF)   Confidentiality of data and limits on  access:  No  limits on
     access to data
?(DLC)   Primary  physical location  of data: NCC/IBH
 (DST)   Form  of  data storage: Original form  (hardcopy, readings?
 (DAC)   Type  of  data access:  EPA software: STORET MIDSCQQ jEPA hardware
     NCC
 (CHG)   Direct charge for  non-EPA  use: Yes
 (UPDT)  Frequency of data base master file  up-date:  Other None-study
     complete.
 (RSS)   Related  EPA automated systems which  use data  base: STORET
 (RDBEPA)  Related EPA  data bases  used in conjunction tilth this data base
     STORET
 (RDB)   Non-EPA  data bases used in conjunction with this  data base: Buffa
     io  District, U.S. Army  Corps  of   Engineers, Land Resources
     Information Systems.
 (CMP)   Completion of form:
     Tom Barnvell
     OFC:  ERL-Athens, Georgia
     AD: 'U.S. EPA, Athens,  Georgia   30613
     PH! (404) 546-7978
 (DF)   Date of form completion: 01-25-83
 (NMAT)  Number  of substances represented in data base: 12
 (NCAS)  Number  of CAS  registry numbers in data base:  2
 (HAT)   Substances represented in  data base:
     acidity                              oil  and grease
     alkalinity                           oxygen  demand
     dissolved oxygen                     pH
     fecal collform                      phosphorus<7723-14-0>
     flow                                 primary nutrients
     nitrogen<7727-37-9>                  suspended and dissolved solids
 (CAS)   CAS registry numbers  of substances included in data  bases 7727-37
     -9; 7723-14-0
 (CNM)   Contact  narae(s): Baker/D.B.;   asslstance,S.
 (COR)   Contact  organization: Tom  Barnuell,  EPA-Athens/ERL


                              738

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                             Accession No.   6404000132     (cont)

(RQR)  Responsible Organization: Office of  Research and
    Development*Offlee of Environmental Processes and Effects Rese
                             739

-------
                             Accession No.   6404000133

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Canonical Environments
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model:  Surface water-rivers  and
    lakes
CABS)  Abstract/Overview of  Data Base  or Model:  The objective  of  this
    project is to gather specifically      defined climatic,  hydrologic,
    and water quality data on selected rivers and
    impoundment/reservoir/lake systems in 9  major river    basins/  and
    organize these data in a computerized data base accessible by  EPA's
    EXAMS or other similar water quality models.
(CTC)  CONTACTS: Subject matter  Richard Skaggs,  BeHell  NM
    (509)376-8319; Computer  Related David Cline (404)546-3123; EPA
    Office Kenneth Hedden (404)546-3310#
(DTP)  Type of data collection or monitoring: Ambient water  quality
    data; hydrology
(STA)  Data Base status: Completed 04-01-83
(DPO)  Projected operational date of Data Base:  05-01-83
(GRP)  Groups of substances  represented in Data  Base: 11 conventional
    water
(NPP)  Non-pollutant parameters included in  the  data base: Biological
    data Concentration measures ;Flou rates /Geographic subdivision ;
    Location /Physical data  ;Temperature /Volume/mass measures ;¥ind
    velocity
CDS)  Time period covered by data base: HA
(TRM)  Termination of data collection: 04-01-83
(FRQ)  Frequency of data collection or sampling:  monthly
(NOB)  Number of observations in data  base:  N/A(Actual)    ;
    N/A(Estimated)
(NED  Estimated annual increase of observations in data base:  (N/A);
    (N/A)
(INF)  Data base includes: Summary or  aggregate  observations
(NTS)  Total number of stations or sources covered in data base:  (R/A)
(NCs)  NO. stations or sources currently originating/contributing  data:
    (N/JS)
(NOF)  dumber of facilities  covered in data  base (source monitoring):  (N
    /A)
(GEO)  Geographic coverage of data base: Geographic region -9  river
    basins
(LOG)  Data elements identifying location of station or  source include:
    Coordinates - latitude/longitude ;Other-RMI,  River reach
(FAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant identification data are: Other  coding scheme
(DPR)  Data collect,/anal, procedures  conform to ORD guidelines: Analyst
    s method documented ;QA  procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? NO

-------
                             Accession No.   6404000133     (cont)

(IDL)  Laboratory identification:  NO
(AUT)  Authorization for data collection: Statutory authorization is
    P.L. 94-469, section 10
(OMB)  Data collected/submitted using OMB-approved SPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    - Definition of Conmlcal   Environments for Lakes, Reservoirs, and
    Rivers, Volumes I, II,   III,  IV
(NUS)  Number of regular users of  data base: Not yet determined
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: SPA Lab, Athens,  GA; OTS VAX
(OST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: EPA Hardware PDF 11; CTS GENS
(CHG)  Direct charge for non-EPA use: No
(UPDT)  Frequency of data base master file  up-date: Other-mean values
    reported, will be expanded geographically  and/or by parameters.
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    STORET
(RD8)  Non-EPA data bases used in conjunction with this data base: HATSf
    ORE, USGS
(CMP)  Completion of form:
    Kenneth F. Hedden
    OFC: ERL-Athens, GA/QRD
    AD: DSEPA, Athens, Georgia  30613
    PH: (404) 546-3310
(OF)  Date of form completion: 01-10-83
(NKAT)  Number of substances represented in data base: 3
(MAT)  Substances represented in data base:
    dissolved oxygen                     suspended solids
    PH
(CNN)  Contact name(s)5 Hedden,K.F
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects Rese
                             741

-------
                             Accession No.   6404000134

(DQ)  Date of Questionnaire:  12-02-82
(NAM)  Name of Data Base of Model: Fate and Transport Rate  Data for
    Toxic Substances
(ACR)  Acronym of Data Base or Model:  Hone
(MED)  Media/Subject of Data Base or Model: Ground water /Surface water
(ABS)  Abstract/Overview of Data Base or Model:  A computer-based system
    is under development which     conbines structure-activity
    relationships kith laboratory measure-     ments to permit
    estimation of various environmental process  data related to fate
    and transport of toxic and hazardous Hastes.     Such data include
    (but are not limited to) hydrolysis/ photo-     lysis/ sorption, and
    volatilization rates.
(CTC)  CONTACTS: Subject natter  Lee A. Mulkey  (404) 546-3581    >
    EPA Office  QEPER/ORD/ER
(DTP)  Type of data collection or monitoring:  Ambient data  collection
(STA)  Data Base status: Discontinued
(DPO)  Projected operational date of Data Base:  08-01-82
(GRP)  Groups of substances represented in  Data  Base: 43 air priority
    chemicals ;7 criteria NAAQS >129 307 CWA ;299 hazardous substanc  48
    cancelled pesticides ;54 TSCA assessment ;RCRA hazardous wastes
(NPP)  Non-pollutant parameters included in the  data base:  Chemical
    data ^Physical data ;Test/analysis method
(OS)  Time period covered by data base: (scheduled to begin August
    )1982.
(TR«)  Termination of data collection: Not  applicable
(FRQ)  Frequency of data collection or sampling: as needed
(NOB)  Number of observations in data base: not  yet known(Actual)
(NEI)  Estimated annual Increase of observations in data base: (not yet
    known)
(INF)  Data base includes: Summary or aggregate  observations ^Reference
    data/citations
(NTS)  Total number of stations or sources  covered in data  base: (not
    yet known)
(NCS)  No. stations or sources currently originating/contributing data:
    (not yet known)
(NOF)  Number of facilities covered In data base (source monitoring): (n
    ot yet known)
(GEO)  Geographic coverage of data base: International
(LOG)  Data elements Identifying location of station or source include:
    not yet known
(FAC)  Data elements identifying facility include: not yet  known
(COB)  Pollutant identification data are: Not yet developed
(DPR)  Data collect./anal, procedures conform to QRD guidelines: not
    yet known
(ANL)  Lab analysis based on EPA-approved or accepted methods? Lab
    analysis unknown until data base is operational.
(ADD)  Lab Audit: Lab audit is not yet known until data base is
    operational.
(PRE)  Precision: Precision and accuracy estimates exist for all
    measurements
(CBY)  Data collected by: Contractor lab -  unknown at this  time
    ^Contractor - unknown at this time


                             742

-------
                             Accession Ho.   6404000134     (cont)

•(ABY)  Data analyzed bys  EPA lab - unknown  at this time
    Contractor lab - unknown at this time
    Contractor - unknown  at this tine
(I0L)  Laboratory identifications NO
(PR!)  Primary purpose of data collection:  Development of regulations
    or standards
(PR2)  Secondary purpose  of data collection!  Anticipatory/research
(AUT)  Authorization for  data collection: Ho  statutory requirement:
    Data collection requirement is to  provide a data base with certain
    capabilities-not collect per    se«
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available  reports and outputs  of data base: Qther-not
    yet developed
(BUS)  Number of regular  users of data base:  unknown at this time
CUSR)  Current regular users of data base!  EPA laboratories
(CNF)  Confidentiality of data and limits on  access: Ho Units on
    access to data
(DLC)  Primary physical location of data? Other-system not yet developed
(DST)  Form of data storages Other-system not yet developed
(DAC)  Type of data access: EPA softwares Hone yet developed
(CHG)  Direct charge for  eon-EPA use: NO
(OPBT)  Frequency of data base master file  up-date: Qther-Unknoun^ data
    base not yet developed.
(RS5)  Related EPA automated systems which  use data base: unknown  until
    data base operational
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    unknown until data base operational
(RDB)  Non-SPA data bases used in conjunction with this data base: unkno
    wn until data base operational
CODS)  Other pertinent non-EPA data bases:  unknown until data base
    operational
(CMP)  Completion of forms
    Lee A* Mulkey
    OFC: EPA/GRD/£RL-Athens, GA«
    AD: College Station Road, Athens? Georgia
    PH: (404) 546-3581
(DF)  Date of form completion: 01-25-83
CHHAT)  Number of substances represented in data base: 690
(NCAS)  Number of CAS registry numbers in data base: 673
(MAT)  Substances represented in data base:
                                         0,0-diethyl-s-methyl ester of
    ~azirino(2*3*:3,4)-pyrrolo(l,2-a)       phosphorodithiolc acid
       indole-4, 7-dione(ester)           1,1#1,2-tetrachloroethane
       <50-07-7>                            <630-20-6>
    0,0-diethyl phosphoric acid,0-p-     l,l*l-trichloroethane<71-55-6>
       nitrophenyl ester<311-45-5>       l,l,2,2-tetrachloroethane<79-34-5>
    0,0-diethyl-0-(2-pyra2inyl)          l,l,2-trlchloroethane<79-00-5>
       phosphorothioate<297-97-2>        1,l-dichloroethane<75-34-3>
    0^0-diethyl-s-(2-ethylthio)ethyl)    l,l-dichloroethylene<75-35-4>
       ester of phosphorodithioic acid   l,l-dimethylhydrazitie<57-14-7>


                             743

-------
                         Accession No.  6404000134
                  
1,2,4, 5-tetrachlorob«nzene
   <95-94~3>
l,2-dibrorao-3-chloropropane (dbcp)
   <96-12~8>
1,2-di bromoe thane<106-93-4>
If2-dichlorobenzene<95-50-l>
l,2-dichloroethane<107-06-2>
l,2-dlchloropropane<78-87-5>
l,2-dichloropropylene<563-54-2>
1, 2-diethylhydrazine<1615-80-l>
l,2-dimethylhydrazine<540-73-8>
I,2-diphenylhyflcazlne<122-66-7>
l/2-propanediol<57-S5-6>
1/2-trans-dichloroethylene
   <156-60-5>
lf 3-dichloroben2erie<541-73-l>
If 3-dlchloropropene<542-75-6>
l/3-pentadiene<504-60-9>
1,3-propane sultone<1120-7l-4>
It4-dichloro-2-butene<110-57-6>
If4-dichlorobenzene<106-46-7>
I/4-dioxane<123-91-1>
l/4-naphthoquInone<130-15-4>
l-(o-chlorophenyl)thiourea
   <5344-82-l>
l-
l-chloro-2/3-epoxypropane
   <106-89-8>
l-naphthyl-2-thiourea< 86-88-4>
l-naphthylamine<134-32-7>
2/2-dichloropropionic acid
   <75-99-0>
2,3lf4/6-tetrachlorophenol<58-90-2>
2/4/5-t amines
2/4/5-t esters
2,4,5-trichlorophenol<95-95-4>
2/4,5-trichlorophenoxyacetlc acid
   (f)<93-76-5>
2,4,5-trichlorophenoxypropionic
   acid (TP)<93-72-l>
2/ 4,6- trichlorophenoK 88-0 6-2>
2/4^7^ 8-te tr achlorodibenzo-p-
   dioxln (tcdd)
2,4-d acid<94-75-7>
2*4-d esters
2/4-dichlorophenol<120-83-2>
2/4-dichIorophenoxyacetic acid {2,
   4-d)<94-75-7>
2f 4-diiaethylphenol<105-67-9>
2,4-dinitrophenol<51-28-5>
2/4-dinitrotoluene<121-14-2>
2,4-dithiobiuret<541-53-7>
2^6-dichlorophenoK 87-65-0>
2^6-dinitrotoluene<606-20-2>
2-acetylaninoflourene<53-96-3>
2-butanone peroxlde<1338-23-4>
2-chloroethylvinyl ether<110-75-8>
2-chloronaphthalene<91-58-7>
2-chlorophenol<95-57-8>
2-cyclohexyi-4^6-dinitrophenol
   <131-89-5>
2-fluoroacetamide <1081)<640-19-7>
2-roethyl-2-(methylthio)propionalde
   hyde-o- (roethylcarbamoyl) oxine
   06-3>
2-methylaziridine<75-55-8>
2-«ethyllactonitrile<75«86-5>
2-naphthylanine<91-59-8>
2-nitrophenol<88-75-5>
2-nitropropane<79-46-9>
2-picoline<109-06-8>
2-propyn-l-ol<107-19-7>
2-sec butyl-4,6~dlnitrophenol
   <88-85-7>
3/3*-dichlorobenzidine<91-94-l>
3,3*-dimethoxybenzidine<119-90-4>
3,3*-dimethyl-l(»ethylthio)-2-
   butanone-0- ( { nethy lanino)
   carbonyDoxine
3, 3 •-dlmethylbenzidine<119-93-7>
3,4-benzofluoranthene<205-99-2>
3,4-dihydroxy-alpha-((raethylaraino)
   methyl) benzyl alcohol<51-43-4>
3-chloropropionitrile<542-76-7>
3-methylcholanthrene<56-49-5>
3 91 96-1 8- 4>
4,4--ddd(p,pnde)<72-54-8>
4,4 '-dde(p,p'-d
4,4'-ddt<50-29-3>
4,4*-iBetfeylene-bis-(2-chloroanilin
4lf6-dinitro-o-cresol<534-52-l>
4-aminopyridine<504-24-5>
4-broraophenyl phenyl ether
   <101-55~3>
                         744

-------
                         Accession No.   6404000134
                  (cont)
4-chloro-o-toluidine hydrochlorlde
   <3165-93-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<10Q-Q2-7>
5-
5-nitro-o-toluidine<99-55-8>
e-areino-l,13,2,8,8a,8b-hexahydro-
   E-hydroxyraethyl-8-methoxy-5-
   Bethylcarbamat
7,12-dimethylbenz( a)anthracene
   <57-97-6>
7-oxabicycol(2.2.1)heptane-2,3-
   dicarboxylic acid<145-73-3>
EBDC's (ethylenebisdithiocarbamate
   s)
EPK (ethyl p-nitrophenyl thionoben
   ?enephosonate)<2104-64-5>
Octantethylpyrophosphoramide (OMPA)
   <152- acenaphthene<83-32-9>
ac€naphthylene<208-96-8>
acetaldehyde<75-07-0>
acetic acid<64-19-7>
acetic anhydride<108-24-7>
acetone cyanohydrin<75-86-5>
acetone<67-64-l>
acetonitrlle<75-05-8>
acetophenone<98-86-2>
acetyl bromide<506-96-7>
acetyl chloride<75-36-5>
acrolein<107-02-8>
acrylamide<79-06-l>
acrylic acid<79-10-7>
acrylonitrile<107-13-l>
adipic acid<124-04-9>
aldrin<309-00-2>
allyl alcohol<107-18-6>
allyl chloride<107-05-l>
alpha,alpha-dimethylbenzylhydro-
   peroxide<80-15-9>
alpha, alpha- dine thylphenethylamine
   <122-09-8>
alpha-chlorotoltiene<100-44-7>
aluminum phosphide<20859-73-8>
aluminum sulfate<10043-01-3>
amitraz (baam)<33089-61-l>
an«itrole<61-82-5>
anaoni a<7664-41-7>
ammonium acetate<631-61-8>
aramoniuo benzoate<1863-63-4>
ammonium bicarbonate<1066-33-7>
aramonixiiH bichroraate<7789-09-5>
ammonium bifluoride<1341-49-7>
anaonium bisulf ite<10192-30-0>
amrooniura carbaaate
ammonium carbonate<506-87-6>
ammonium chloride<12125-02-9>
ammonium chroreate<7788-98-9>
amaonium citrate<7632-50-0>
ammonium f luoborate<13826-83-0>
ammonium fluoride<12125-01-8>
ammonium hydroxide<1336-21-6>
ammonium oxalate<1113-38-8>
ammonium picrate<131-74-8>
ammonium silicofluoride
   <16919-19-0>
amaonium sulf amate<7773-06-0>
ammonium sulf ide<12135-76-l>
ammonium sulf ite<10196-04-0>
ammonium tartrate<3164-29-2>
ammonium thlocyanate<1762-95-4>
ammonium thiosulfate<7783-18-8>
amyl acetate<628-63-7>
aniline<62-53-3>
anthracene<120-12-7>
antimony pentachloride<7647-18-9>
antimony potassium tartrate
antimony trlbromlde<7789-61~9>
antimony trichloride
antimony trlf luorl<3e<7783-56-4>
antimony trioxide<1309-64-4>
antiraony<7440-36-0>
aramite<140-57-8>
arsenic aci
arsenic disulf ide<1303-32-8>
arsenic pentoxide<1303-28-2>
arsenic trichloride<7784-34-l>
arsenic trioxide<1327-53-3>
arsenic trisulfide<1303-33-9>
arsenic<7440-38-2>
asbestos<1332-21-4>
auraraine<2465-27-2>
azaserine<115~02-6>
barium cyanide<542-62-l>
benomyl<17804-35-2>
benz(c)acridine<225-51-4>
benzac<50-31-7>
benzal chloride<98-87*3>
benzene<71-43-2>
benzenesulfonyl chloride<98-09-9>
benzenethlol<108-98-5>
benzidine<92-87-5>
                         745

-------
                         Accession No.   6404000134
                  (cont)
benzo(a)anthracene<56-5S-3>
benzo(a)pyrene<50-32-8>
benzo(g,h,i)pfirylene<191-24-2>
benzo( k) f luoranthene< 207-0 8-9>
benzole acid<65-85-0>
benzonitrile<100-47-0>
benzot rich lor ide<98-07-7>
benzoyi chloride<98-88-4>
benzyl chloride<100-44-7>
beryllium chloride<7787-47-5>
beryllium dust
beryllium fluoride<7787-49-7>
beryllium nitrate<13597-99-4>
berylliuni<7440-41-7>
bhc (lindane)-gamma<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
bis(2-chloroethoxy)raethane
bis{2~chloroethyl)ether
bis(2-chlorolsopropyl) ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis(chloromethyl)ether
broffioacetone<598-31-2>
bromomethane<74-83-9>
brucine<357-57-3>
butyl acetate<123-86-4>
butyl benzyl phthalate<85-68-7>
butylaaiine<109-73-9>
butyric acid<107-92-6>
cadsiiura acetate<543-90-8>
caduium bromide<7789-42-6>
cadmium chloride
cadroium< 7 440- 43-9>
calcium arsenate<7778-44-l>
calcium arsenite<52740-16-6>
calcium carbide<75-20-7>
calcium chroraate<13765-19-0>
calcium cyanide<592-01-8>
calcium dodecylbenzenesulf onate
   <26264-06-2>
calcium hydroxide<130S-62-0>
calcium hypochlorite<7778-54-3>
calcium oxide<1305-78-8>
captan<133-06-2>
carfcaryl<63-25-2>
carbofuran<1563-66-2>
carbon disulfide<75-15-0>
carbon raonoxide<630~08-0>
carbon tetrachloride<56-23-5>
carbonyl fluoride<353-50-4>
chloral<75-87-6>
chlorambucil<305-03-3>
chloranil<118-75-2>
chlordane<57-74-9>
chlorinated naphthalenes
chlorine<7782-50-5>
chloroacetaldehyde<107-20-0>
chlorobenzene<108-90-7>
chlorobenzilate<510-15-6>
chlorodibroraomethane<124-48-l>
chloroethane<75-00-3>
chloroethene<75-01-4>
chloroethyl vinyl ether<110-75-8>
chlorofluorocarbons
chloroform<67-66-3>
chloromethane<74-87-3>
chloromethyl nethyl ether
   <107-30-2>
chloroprene<126-99-8>
chlorosulfonic acid<7790-94-5>
chlorpyrifos<2921-88-2>
chromic acetate<1066-30-4>
chromic acid<7738-94-5>
chromic sulfate<10101-53-8>
chromiuni<7440-47-3>
chromous chloride<10049-05-5>
chrysene<218-01-9>
coal tar<8007-45-2>
cobaltous bromide<7789-43-7>
cobaltous formate<544-18-3>
cobaltous sulfamate<14017-41-5>
copper cyanide<544-92-3>
copper<7440-50-8>
coumaphos<56-72-4>
creosote<8021-39-4>
cresol<1319-77-3>
cresylic acid<1319-77-3>
crotonaldehyde<4170-30-3>
curaene<98-82-8>
cupric ac«tate<142-71-2>
cupric acetoarscnite<12002-03-8>
cupric chloride<7447^39-4>
cupric nitrate<3251-23-8>
cupric oxalate<814-91-5>
cupric sulfate ammoniated
   <10380-29-7>
cupric sulfate<7758-98-7>
cupric tartrate<815-82-7>
cyanide<57-12-5>
cyanogen bromide<506-68-3>
                         746

-------
                         Accession Ho.  6404000134
                  (cent)
cyanogen chlorlde<506-?7-4>
cyanogen<460-19-5>
cyclohexane<110-82-7>
cyclohexanone<108-94~l>
cyclophosphamide<50-18-0>
daunomycln<20830-81-3>
ddd(tde)<72-54-8>
ddt<50-29-3>
di-isopropylfluorophosphate
   <55-91-4>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
di-n-propylnitrosaraine<621-64-7>
diallate<23Q3-16-4>
diazinon<333-41-5>
dibenzo(a, h)anthracene<53-70-3>
dibenzol(a,i)pyrene<189-55~9>
dibromOchtoromethane<124-48-l>
dibroreoroethane<74-95-3>
dicamba<1918-00-9>
dichiobenIi<1194~65-6>
dichlone<117-80-6>
dichlorobenzene<25321-22-6>
dichlorobroraomethane<75-27-4>
dichlorodifluoro»ethane<75-71-8>
dlchloromethane<75-09-2>
dichlorophenylarsine<696-28-6>
dichloropropane<78-87-5>
dichloropropene-dichloropropane
   mixture<8003-19-8>
dichloropropene<542-75-6>
dichlorvos<62-73-7>
dieldrin<60-57-l>
diepoxybutane<1464-53-5>
diethyl phthalate<84-66-2>
dicthylamine<109-89-7>
diethylarsine
dIethylstilbestrol<56-53-l>
dihydrosa£role<94-58-6>
dimethoate<60-51-5>
dimethyl phthalate<131-ll-3>
dimethyl sulfate<77-78-l>
dimethylamine<124-40-3>
dinethylcarbaiDoyl chloride
   <79-44-7>
dinethylnitrosaiBine<62-75-9>
dinitrobenzene<25154-54-5>
dinitrophenol
dinitrotoluene<25321-14-6>
dioxane<123-91-l>
dioxin<828-00-2>
dipropylaraine<142-84-7>
dlquat<2764-72-9>
disulfoton<298-04-4>
diuron<330-54-l>
dodecylbenzenesulfonic acid
   <27l76-87-0>
e
edta<60-00-4>
endosulfan sulfate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endosulfan<115-29-7>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
epichlorohydrin<106-89-8>
ethion<563-12-2>
ethyl ac«tate<141-78-6>
ethyl acrylate<140-88-5>
ethyl ether<60-29-7>
ethyl nethacrylate<97-63-2>
ethyl methanesulfonate<62-50-0>
ethylbenzene<100-41-4>
ethylcyanide<107-12-0>
ethylene bisdithiocarbaiaate
ethylene dibroraide (EDB)<106-93-4>
ethylene dichloride<107-06-2>
ethylene oxide<75-21-8>
ethylene thiourea<96-45-7>
ethylenedlaroine<107-15-3>
ethyleneimine<151-56-4>
ferric anaoniuiE citrate<1185-57-5>
ferric ammonium oxalate
   <14221-47-7>
ferric chloride<7705-08-0>
ferric cyanide
ferric fluoride<7783-50-8>
ferric nitrateC!0421-48-4>
ferric sulfate<10028-22-5>
ferrous ammonium sulfate
   <10045-89-3>
ferrous chloride<7758-94-3>
ferrous sulfate<7720-78-7>
fluoranthene<2Q6-44-0>
fluorene<86-73-7>
fluorine<7782-41-4>
fluoroacetic acid/ sodium salt
   <62-74-8>
fluorotrichloromethane<75-69-4>
formaldehyde< 50-00-0>
formic acid<64-18-6>
fumaric acid<110-17-8>
furan<110-00-9>
furfural<98-01-l>
                         747

-------
                         Accession Mo.  6404000134
                  (cont)
glycidylaldehy
gutMon<86-50-0>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
hexachlorobutadiene<87~68-3>
hexschlorocyclohexane<58-89-9>
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
hexachlorophene<70-30-4>
hexachloropropene<1888-71-7>
hexaethyl tetraphosphate<757*58-4>
hydrazine<302-01~2>
hydrocarbons
hydrochloric acid<7647-01-0>
hydrocyanic acid<74-90-8>
hydrofluoric acid<7664-39-3>
hydrogen cyanide<74-90-8>
hydrogen sulfide<7783-06-4>
hydroxydimethyl arsine oxide
   <75-60-5>
indeno (l,2,3-cd)pyrene<193-39-5>
iodomethane<74-88-4>
iron dextran<9004-66-4>
isobutyl alcohol<78-83-l>
isocyanic acid/ methyl ester
   <624-83-9>
isophorone<78-59-l>
isoprene<7 8-79-5>
isopropanolamine dodecylbenzene
   sulfonate<54590-52-2>
isosafrole<120-58-l>
kelthane<115-32-2>
kepone<143-50-0>
lasiocarpine<303-34-4>
lead acetate<301-04-2>
lead arsenate<3687-31-8>
lead chloride<7758-95-4>
lead fluorborate<13814-96-5>
lead fluoride<7783-46-2>
lead iodide<10101-63-0>
lead nitrate<10099-74-8>
lead phosphate<7446-27-7>
lead stearate<1072-35-l>
lead subacetate<1335-32-6>
lead sulfate<7446-14-2>
l«ad sulfide<1314-87-0>
lead thiocyanate<592-87-0>
lead<7439-92-l>
lindane<58-89-9>
lithium chronate<14307-35-8>
ni-cresol<108-39-4>
ra-xylene<108-38-3>
Balathion<121-75-5>
raaleic acld<110-16-7>
naleic anhydride<108-31-6>
maleic hydrazide<123-33-l>
malononitrile<109-77-3>
melphalan<148-82-3>
raercaptodiroethur<2032-65-7>
mercuric cyanide<592-04-l>
mercuric nitrate<10045-94-0>
mercuric sulfate<7783-35-9>
mercuric thiocyanate<592-85-8>
aercurous nitrate<10415-75-5>
mercury fulrainate<628-86-4>
aercury<7439-97-6>
methanethiol<74-93-l>
raethanol<67-56-l>
methapyrilene<91-80-5>
methomyl<16752-77-5>
raethoxychlor<72-43-5>
methyacrylonitrile<126-98-7>
methyl chlorocarbonate<79-22-l>
methyl chloroform<71-55-6>
methyl ethyl ketone (mek)<78-93-3>
methyl ethyl ketone peroxide
   <1338-23-4>
methyl hydrazine<60-34-4>
methyl iodide<74-88-4>
methyl Isobutyl ketone<108-10-l>
methyl mercaptan<74-93-l>
methyl Hiethacrylate<80-62-6>
methyl parathion<298-00-0>
methylthiouracil<56-04-2>
mevinphos<7786-34-7>
raexacarbate<315-18-4>
mirex<2385-85-5>
monoethylamine<75-04-7>
Bonomethylamine<74-89-5>
monuron<150-68-5>
n,n-bis(2-chloroethyl)-2-naphthyla
   raine<494-03-l>
n-butyl alcohol<71-36-3>
n-butyl phthalate<84-74-2>
n-aethyl-n'-nitro-n-'-nitrosoguanidi
   ne<70-25-7>
n-nitroso-n-ethylurea<759-73-9>
n-nitroso-n-»ethylurea<€84-93-5>
n-nitroso-n-methylurethane
   <615-53-2>
n-nitrosodi-n*butylamine<924-16-3>
n-nitroscdi-n-propylaraine
   <621-64-7>
                         748

-------
                         Accession No.   6404000134
                  (cont)
n-nitrosodiethanolaraine<1116-54-7>
n-nitrosodlethylam ine< 55-18-5>
n-nitrosodimethylamine<62-75-9>
n-nitrosodiphenylaitine<86-30-6>
n-nitrosomethylvinylanine
   <4549-40-0>
n-nitrosopiperidine<100-75-4>
n-nitrosopyrrolidine<930-55-2>
n-phenylthiourea<103-85-5>
n-propylamine<107-10-8>
naled<30Q-76-5>
naphthalene< 9l-20-3>
naphthenic acid<1338-24-5>
nickel ammonium sulfate<7785-20-8>
nickel carbonyl<12612-55-4>
nickel chloride<7718-54-9>
nickel cyanide<557-19-7>
nickel hydroxide<12054-48-7>
nickel nitrate<13138-45-9>
nickel sulfate<7786-81-4>
nickel<7440-02-0>
nicotine and salts<54-ll-5>
nitric acid<7697-37-2>
nitric oxide<10102-43~9>
nitrobenzene<98-95-3>
nitrogen dioxide<10102-44-0>
nitrogen peroxide<10l02-44-Q>
nitrogen tetroxide<10544-72-6>
nitroglycerine<55-63-0>
nltrophenol<25l54-55-6>
nitrosomethylurea<684-93-5>
nittosomorpholine<59-89-2>
nitrotoluene
o-cresol<95-48-7>
o-toluidine hydrochloride
   <636-21-5>
o-xylene<9S-47-6>
oil and grease
oleyl alcohol condensed uith 2
   iroles ethylene oxide<9004-98-2>
onaphthalene<465-73-6>
osmium tetroxide<20816-12-0>
ozone<10028-15-6>
p-chloro-m-cresol<59-50-7>
P-chloroaniline<106-47-8>
p-cresol<106-44-5>
p-dichlorobenezene<106-46-7>
p-dImethylaninoazobeTizene<60-ll-7>
p-nitroaniline<100-01-6>
p-xylene<106-42-3>
paraforraaldehyde<30525-89-4>
paraldehyde<123-63-7>
parathion<56«38-2>
pcb-1016 (arochlor 1016)
   <12S74-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 {arochlor 1260)
   <11096-82-5>
pentachlorobenzene<608-93-S>
pentachloroethane<76-01-7>
pentachloronitrobenzene (PCNB)
   <82-68-8>
pentachlorophenol<87-86-5>
perchloroethylene<127-18-4>
phenacetin<62»44-2>
phenanthrene<85-01-8>
phenarsazine chloride<578-94-9>
phenol<108-95-2>
phenyl dichloroarslne<696-28-6>
phenylmercury acetate<62-38-4>
phorate<298-02-2>
phosgene<75-44-5>
phosphine<7803-51-2>
phosphoric acid<7664-38-2>
phosphorothioic acid/o, o-diraethyl
   ester^o-ester uith n^n-dimethyl
   benzene s
phosphorus oxychloride<10025-87-3>
phosphorus pentasulfide<1314-80-3>
phosphorus sulfide<1314-80-3>
phosphorus trichloride<7719-12-2>
phosphorus<7723-14-0>
phthalic anhydride<85-44-9>
polybrominated biphenyls (PBBs)
   <59536-65-l>
polychlorinated biphenyls (PCBs)
   <1336-36-3>
potassium arsenite<10124-50-2>
potassium bichromate<7778«50-9>
potassium chronate<7789-00-6>
potassium cyanide<151-50-8>
potassiuffl hydroxide<1310~58-3>
potassiue permanganate<7722-64-7>
potassium silver cyanide<506-61-6>
potassiUK-arsenate<7784-41«0>
                         749

-------
                         Accession Mo.  6404000134
                  (cent)
pron-araide< 23950-58-»5>
propargite<2312~35-8>
propionic acid<79-09-4>
propionic anhydrIde<123*-62-6>
propionitrile<107»12-0>
propylene oxide<75-56-9>
pyrene<129-00-0>
pyrethriivC 121-29-9 >
pyridine<110-86-l>
guinoline<91-22-5>
guinones
reserp ine< 50-55-5>
resorcinol<108-46-3>
saecharin<81-07~2>
safrole<94-59-7>
selenious aeid<7783~00~8>
selenium oxide<12640-89-0>
selenium sulflde<7446-34-6>
seleniun<7782-49-2>
selenourea<630-10-4>
silver cFanide<506-64-9>
silver nitrate<7761-88-8>
silver<7440«22-4>
silv«x<93-72-l>
sodium arseoate<7631-89-2>
sodium arsenite<7784-46-5>
sodium az.ide<26628-22-8>
sodium bichromate<10588-01-9>
sodium bifluorlde<1333~83-l>
sodiura bisulfite<7631-90-5>
sodium chromate<7775-11-3>
sodium cyanide<143-33-9>
sodium dodecylbenzanesulfonate
   <25155-30-0>
sodiiHii fluoride<7681~49-4>
sodium fluoroacetate (1080)
   <62»74-8>
sodiun hydrosulfide<16721-80»5>
sodium hydroxide<1310-73-2>
sodium hypoclVlorite<7681-52-9>
sodium methylate<124-41-4>
sodiura nitrite<7632-00-0>
sodiua phosphate^ dibasic
   <7558-79-4>
sodiutB phosphate^ tribaslc
   <7601»S4-9>
sodium selenit€<10102-18-8>
sodiuffl<7440-23-5>
streptozotocin<18883-66-4>
strobane<8001-50-l>
strontium chroniat€<7789-06-2>
strontium sulfide<1314-9S~l>
strfchnlue<57-24-9>
styren€<100-42-5>
sulfur diojjide<7446-09-5>
sulfur raonochloride<10025-67-9>
sulfuric. acid<7664-93-9>
tde<72-54«8>
tetrachloroethene<127-18-4>
tetr achioroethylene<127-l 8-4>
t€trachloroiBethan€<56-23-5>
tetraethyl dithiopyrophosphate
tetraethyl lead<78-00-2>
tetraethyl pyrophosphate<107-49-3>
tatrahydofuran<109-99-9>
tetranitroraethane<509-14-8>
thalllc oxide<1314-32-5>
thalllu» acetate<563-68-8>
thalliuns carboaate<29809-42-5>
thalliun chloride<7791-12-0>
thalliun nitrate<10102-45-l>
thallluB sel«nite<12039-52-0>
thalliu* sulfate<7446-18-6>.
thalIiuiB<7440-28-0>
thioacet3!iiide<62~55-5>
thiophanate jaethyl<23564-05-8>
thioseaiicarbazide<79-19-6>
thiourea<62-56-6>
thiuraB<137-26-8>
toluene diisocyanate<26471-62-5>
toluene<108-88-3>
toluenediaraine<25376-45-8>
total suspended particulate
toxaphene<8001-35-2>
tribroiao«8thane<7S-25-2>
trichlorfon<52-68-6>
trichloroethane< 25323-8 9-l>
trichloroethene<79-01-6>
trichloroethylene<79-01-6>
trichlorofluororaethane<75-69-4>
trichlororaethanethiol<75-70-7>
trichlorophenol <25167^82-2>
tristhanolaisine dodecyibenzenesulf
   0nate<27323-41-7>
triethy lanine< 121-44-8>
trifluc aline Ctref lanX1582-09-8>
trimethylamine<75-50-3>
trinitrobenzene<99-35-4>
t r is< 2^ 3- d ibronopropy 1) phosphate
   <126-72-7>
trypan blue<72-57-l>
trysben<50-31«7>
«lfonarolde<52-85-7>

-------
                             Accession
   €404006134
(coat)
    uracil mustard<66-75-l>
    uranyl acetate<541~Q9-3>
    uranyl nitrate<10102-06-4>
    urethane<51-79-6>
    vanadic acid,  ammonium salt
zinc chloride<7646-85-7>
zinc cyanide<557-2i-l>
zinc fluoride<7783-49-5>
zinc forsate<557-41-5>
zinc hydrosulfite<7779-86-4>
zinc nitrate<7779-88-6>
zinc phenol sulfonate<127-82-2>
zinc phosphide<1314-84-7>
zinc silieo£luoride<16871-71-9>
zinc sulfate<7733-02-0>
zinc<7440-66-6>
zirconium nitrate<13746-89-9>
zirconium potassium fluoride
   <16923-95-8>
zirconium sulfate<14644-61-2>
zirconium tetrachloride
   <1002€-ll-6>
    vanadium pentoxide<13.l4-62-l>
    vanadyl sul£ate<27774~13~6>
    vinyl acetate<108-05-4>
    vinyl chloride<75-01-4>
    vinylidene chloride<75-35-4>
    xylene<1330-20-7>
    xylcnol<1300-71-6>
    zinc acetate<557-34-6>
    zinc ammonium chloride
    zinc borate<1332-07-6>
    zinc bromide<7699°45-8>
    zinc carbonate<3486-35-9>
(CAS)  CAS registry numbers of substances included in data bases  50-07-7
    ? 311-45-5? 297-97-2? 630*20-6;   71-55-6; 79-34-5| 79-00-5;
    75-34-3; 75-3S-4J 51-14-1$ 120-82-1;       95-94-3; 96-12-8;
    106-93-4J 95-50-1; 107-06-2,; 78-87-5; 563-54-2;     1615-80-1;
    S40-73-8; 122-66-7; 57-55-6; 156-60-5; 541-73-1; 542-75-6;
    504-60-9; 1120-71-4$  110-57-6; 106-46-7; 123-91-1; 130-15-4;
    5344-82-1; 53-86-1; 106-89-8; 86-88-4; 134-32-7; 75-99-0; 58-90-2;
    95-95-4; 93-76-5; 93-72-1; 88-06-2? 94-75-7; 120-83-2; 94-75-7;
    105-67-9; 51-28-5; 121-14-21 541-53-7J 87-65-0; 606-20-2; 53-96-3;
    1338-23-4; 110-75-8;  91-58-7? 95-57-8; 131-89-5; 640-19-7;
    116-06-3;       75-55-8; 75-86-5; 91-5 9»8; 88-75-5; 79-46-9;
    109-06-8; 107-19-7;      88-85-7; 91-94-1; 119-90-4; 119-93-7;
    205-99-2; 51-43-4; 542-76-7;    56-49-5; 72-54-8; 72-55-9; 50-29-3;
    101-14-4; 534-52-1; 504-24-5;     101-55-3; 3165-93-3; 7005-72-3;
    100-02-7; 2763-96-4;  99-55-8;    57-97-6; 145-73-3; 2104-64-5;
    208-96-8; 75-07-0; 64-19-7; 108-24-7;   75-86-5; 67-64-1; 75-05-8;
    98-86-2; 506-96-7; 75-36-5; 107-02-8;      79-06-1; 79-10-7;
    107-13-1; 124-04-9; 309-00-2; 107-18-6; 107-05-1;   80-15-9;
    122-09-8; 100-44-7; 20859-73-8; 10043-01-3; 33089-61-1;
    61-82-5; 7664-41-7; 631-61-8; 1863-63-4; 1066-33-7; 7789-09-5;
    1341-49-7; 10192-30-0; 1111-78-0; 506-87-6; 12125-02-9; 7788-98-9;
    7632-50-0; 13826-83-0; 12125-01-8; 1336-21-6; 1113-38-8; 131-74-8;
    16919-19-0; 7773-06-0; 12135-76-1? 10196-04-0; 3164-29-2;
    1762-95-4;       7783-18-8; 628-63-7; 62-53-3; 120-12-7; 7647-18-9;
    11071-15-1;   7789-61-9; 10025-91-9; 7783-56-4; 1309-64-4;
    7440-36-0; 140-57-8;      1327-52-2; 1303-32-8; 1303-28-2;
    7784-34-1; 1327-53-3; 1303-33-9;     7440-38-2; 1332-21-4;
    2465-27-2; 115-02-6;  542-62-1; 17804-35-2;      225-51-4; 50-31-7;
    98-87-3? 71-43-2; 98-09-9; 108-98-5; 92-87-5;      56-55-3;
    50-32-8; 191-24-2; 207-08-9; 65-85-0; 100-47-0; 98-07-7;
    98-88-4; 100-44-7; 7787-47-5; 7787-49-7; 13597-99-4; 7440-41-7;
    58-89-9; 319-84-6J 319-85-7; 319-86-8; 111-91-1; 111-44-4;
    39638-32-9; 117-81-7; 542-88-1; 598-31-2; 74-83-9; 357-57-3;
    123-86-4; 85-68-7; 109-73-9; 107-92-6; 543-90-8; 7789-42-6;

-------
                         Accession No.  6404000134     (cont)

7440-43-91 7778-44-1; 52740-16-6; 75-20-7; 13765-19-0; 592-01-8;
26264-06-2; 1305-62-0; 7778-54-3; 1305-78-8; 133-06-2; 63-25-2;
1563-66-2; 75-15-0; 630-08-0; 56-23-5; 353-50-4; 75-87-6; 305-03-3;
118-75-2; 57-74-9; 7782-50-5; 107-20-0; 108-90-7; 510-15-6;
124-48-1;      75-00-3; 75-01-4; 110-75-8; 67-66-3; 74-87-3;
107-30-2; 126-99-8;     7790-94-5; 2921-88-2; 1066-30-4; 7738-94-5;
10101-53-8; 7440-47-3;    10049-05-5; 218-01-9; 8007-45-2;
7789-43-7; 544-18-3; 14017-41-5;     544-92-3; 7440-50-8; 56-72-4;
8021-39-4; 1319-77-3; 1319-77-3;   4170-30-3; 98-82-8; 142-71-2;
12002-03-8; 7447-39-4; 3251-23-8;       814-91-5; 10380-29-7;
7758-98-7; 815-82-7; 57-12-5; 506-68-3;    506-77-4; 460-19-5;
110-82-7; 108-94-1; 50-18-0; 20830-81-3; 72-^54-8;      50-29-3;
S5-91-4; 84-74-2; 117+84-0; 621-64-7; 2303-16-4; 333-41-5;
53-70-3; 189-55-9; 124-48-1; 74-95-3; 1918-00-9; 1194-65-6;
117-80-6;      25321-22-6; 75-27-4; 75-71-8; 75-09-2; 696-28-6;
78-87-5; 8003-19-8;       542-75-6; 62-73-7; 60-57-1; 1464-53-5;
84-66-2; 109-89-7; 56-53-1;    94-58-6; 60-51-5; 131-11-3; 77-78-1;
124-40-3; 79-44-7; 62-75-9;      25154-54-5; 25321-14-6; 123-91-1;
828-00-2; 142-84-7; 2764-72-9;      298-04-4; 330-54-1; 27176-87-0;
60-00-4; 1031-07-8; 959-98-8;    33213-65-9; 115-29-7; 7421-93-4;
72-20-8; 106-89-8; 563-12-2;    141-78-6; 140-88-5; 60-29-7;
97-63-2; 62-50-0; 100-41-4; 107-12-0;    106-93-4; 107-06-2;
75-21-8; 96-45-7; 107-15-3; 151-56-4; 1185-57-5;       14221-47-7;
7705-08-0> 7783-50-8; 10421-48-4? 10028-22-5; 10045-89-3;
7758-94-3; 7720-78-7; 206-44-0; 86-73-7; 7782-41-4; 62-74-8;
75-69-4;      50-00-0; 64-18-6; 110-17-8; 110-00-9; 98-01-1;
765-34-4; 86-50-0;     1024-57-3; 76-44-8; 118-74-1; 87-68-3;
58-89-9; 77-47-4; 67-72-1;     70-30-4; 1888-71-7; 757-58-4;
302-01-2; 7647-01-0; 74-90-8;      7664-39-3; 74-90-8; 7783-06-4;
75-60-5; 193-39-5; 74-88-4; 9004-66-4;      78-83-1; 624-83-9;
78-59-1; 78-79-5; 54590-52-2; 120-58-1; 115-32-2;       143-50-0;
303-34-4; 30U04-2; 3687-31-8; 7758-95-4; 13814-96-5;
7783-46-2; 10101-63-0; 10099-74-8; 7446-27-7; 1072-35-1; 1335-32-6;
7446-14-2; 1314-87-0; 592-87-0; 7439-92-1; 58-89-9; 14307-35-8;
108-39-4; 108-38-3; 121-75-5; 110-16-7; 108-31-6; 123-33-1;
109-77-3;      148-82-3; 2032-65-7; 592-04-1; 10045-94-0;
7783-35-9; 592-85-8;       10415-75-5; 628-86-4; 7439-97-6;
74-93-1; 67-56-1; 91-80-5;      16752-77-5; 72-43-5; 126-98-7;
79-22-1; 71-55-6; 78-93-3; 1338-23-4;       60-34-4; 74-88-4;
108-10-1; 74-93-1; 80-62-6; 298-00-0; 56-04-2;      7786-34-7;
315-18-4; 2385-85-5; 75-04-7; 74-89-5; 150-68-5; 494-03-1;
71-36-3; 84-74-2; 70-25-7; 759-73-9; 684-93-5; 615-53-2; 924-16-3;
621-64-7; 1116-54-7; 55-18-5; 62-75-9; 86-30-6; 4549-40-0;
100-75-4;       930-55-2; 103-85-5; 107-10-8; 300-76-5; 91-20-3;
1338-24-5;      7785-20-8; 12612-55-4; 7718-54-9; 557-19-7;
12054-48-7; 13138-45-9;   7786-81-4; 7440-02-0; 54-11-5; 7697-37-2*
10102-43-9; 98-95-3;   10102-44-0; 10102-44-0; 10544-72-6; 55-63-0;
25154-55-6; 684-93-5;    59-89-2; 95-48-7; 636-21-5; 95-47-6;
9004-98-2; 465-73-6; 20816-12-0;      10028-15-6; 59-50-7;
106-47-8; 106-44-5; 106-46-7; 60-11-7; 100-01-6;      106-42-3;
30525-89-4; 123-63-7; 56-38-2; 12674-11-2; 11104-28-2;
11141-16-5; 53469-21-9; 12672-29-6; 11097-69-1; 11096-82-5;


                         752

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                             Accession No.   6404000134     (cont)

    608-93-5;       76-01-7; 82-68-8; 87-86-5; 127-18-4; 62-44-2;
    85-01-8;  578-94-9;      108-95-2; 696-28-6; 62-38-4; 298-02-2;
    75-44-5;  7803-51-2; 7664-38-2;      10025-87-3; 1314-80-3;
    1314-80-3;  7719-12-2;  7723-14-0; 85-44-9;      59536-65-1;
    1336-36-3;  10124-50-2? 7778-50-9; 7789-00-6; 151-50-8;
    1310-58-3;  7722-64-7;  506-61-6; 7784-41-0; 23950-58-5; 2312-35-8;
    79-09-4;  123-62-6; 107-12-0; 75-56-9; 129-00-0; 121-29-9; 110-86-1;
    91-22-5;  50-55-5; 108-46-3; 81-07-2; 94-59-7; 7783-00-8;
    12640-89-0;       7446-34-6; 7782-49-2; 630-10-4; 506-64-9;
    7761-88-8;  7440-22-4;        93-72-1; 7631-89-2; 7784-46-5;
    26628-22-8; 10588-01-9; 1333-83-1;     7631-90-5; 7775-11-3;
    143-33-9;  25155-30-0;  7681-49-4; 62-74-8;       16721-80-5;
    1310-73-2;  7681-52-9;  124-41-4; 7632-00-0; 7558-79-4;
    7601-54-9;  10102-18-8; 7440-23-5; 18883-66-4; 8001-50-1; 7789-06-2;
    1314-96-1;  57-24-9; 100-42-5; 7446-09-5; 10025-67-9; 7664-93-9;
    72-54-8;  127-18-4; 127-18-4; 56-23-5; 3689-24-5; 78-00-2; 107-49-3;
    109-99-9;  509-14-8; 1314-32-5; 563-63-8; 2960S-42-5; 7791-12-0;
    10102-45-1; 12039-52-0; 7446-18-6; 7440-28-0; 62-55-5; 23564-05-8;
    79-19-6;  62-56-6; 137-26-8; 26471-62-5; 108-88-3; 25376-45-8;
    8001-35-2;  75-25-2; 52-68-6; 25323-89-1; 79-01-6; 79-01-6; 75-69-4;
    75-70-7;  25167-82-2; 27323-41-7; 121-44-8; 1582-09-8; 75-50-3;
    99-35-4;  126-72-7; 72-57-1; 50-31-7; 52-85-7; 66-75-1; 541-09-3;
    10102-06-4; 51-79-6; 11115-67-6; 1314-62-1; 27774-13-6; 108-05-4;
    75-01-4;  75-35-4; 1330-20-7; 1300-71-6; 557-34-6; 1332-07-6;
    7699-45-8;  3486-35-9;  7646-85-7; 557-21-1; 7783-49-5; 557-41-5;
    7779-86-4;  7779-88-6;  127-82-2; 1314-84-7; 16871-71-9; 7733-02-0;
    7440-66-6;  13746-89-9; 16923-95-8; 14644-61-2; 10026-11-6

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                             Accession No.   6405000102

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Organic  Transport thru Soil
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model: Effluents From soil  coluans
    receiving organic compounds
(ABS)  Abstract/Overview of Data Base or Model:  Organics detected in
    laboratory mass balance study     with  one soil where organlcs of
    known concentration were    applied at  a constant water flux*
    Project related to  transport of toxic  organi.cs in  soil.
(CTC)  CONTACTS:  Subject matter   Carl Enfield  (405) 332-8800     >
    Computer-related  David
(DTP)  Type of data collection or monitoring: Combination/Other
    Laboratory microcosms
(STA)  Data Base  status: Operational/ongoing
(GRP)  Groups of  substances represented in  Data  Base: 129 307 CWA ;RCRA
    hazardous wastes
(NPP)  Non-pollutant parameters included in the  data base: Flow  rates
    ^Physical data ;Sampling date
(DS)  Time period covered by data base: 06-01-79 TO 09-30-81
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency  of data collection or sampling: as needed
(NOB)  Number of  observations in data base: 1800.(Estimated)
(NED  Estimated  annual Increase of observations in data base: 1800.
(INF)  Data base  includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data base:  7.
(NCS)  No. stations or sources currently originating/contributing data:
    6.
(NOF)  Number of  facilities covered in data base (source monitoring):  1*
(CDE)  Pollutant  identification data are: encoded
(LIM)  Limitation/variation in data of which user should be aware: Labor
    atory data for reconstructed soil columns    from one soil series.
(DPR)  Data collect./anal, procedures conform to ORD guidelines:  Analysi
    s method documented ;QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit; Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but  are not
    included in data base
(EOT)  Editting:  No known edit procedures exist.
(CBY)  Data collected by: EPA lab Robert S. Kerr Environ. Research
    Laboratory
(ABY)  Data analyzed by: EPA lab Robert S.  Kerr Environ. Research
    Laboratory

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                             Accession No.   6405000102     (cont)

(NUS)  Number of regular users of data base: 2
(USR)  Current regular users of data base:  EPA laboratories
(CNF)  Confidentiality of data and limits on access:  No limits on
    access to data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Magnetic floppy disc
(DAC)  Type of data access: EPA software Locally developed software
    ;EPA hardware PDP-11
(CHG)  Direct charge for non-EPA use: No
(UPDT)  Frequency of data base master file up-date: Other As new data
    becomes available
(CMP)  Completion of form:
    Carl Enfield
    DFC: Robert Kerr Environ. Research Laboratory
    AD: P.O. Box 1193 Ada, OK 74820
    PH: (405) 743-2334
(DF)  Date of form completion: 01-27-83
(NMAT)  Number of substances represented in data base: 13
(NCAS)  Number of CAS registry numbers in data base:  13
(MAT)  Substances represented in data base:
    1,1/2-trichloroethane<79-00-         chlorobenzene<108-90-7>
       5>                                chloroform<67-66-3>
    l/2,4/-trichlorobenzene<120-82-l>    dichlorobromoroethane<75-27-4>
    l/2-dibromo-3-chloropropane (dbcp)   nitrobenzene<98-95-3>
       <96-12-8>                         tetrachloroethene<127-18-4>
    If2-dichloroethane<107-06-2>         toluene<108-88-3>
    1,4-dichlorobenzene<106-46-7>        trichloroethene<79-01-6>
    bis(2-chloroethyl)ether
(CAS)  CAS registry numbers of substances Included in data base: 79-00-5
    ; 120-82-1; 96-12-8; 107-06-2;    106-46-7; 111-44-4; 108-90-7;
    67-66-3; 75-27-4; 98-95-3; 127-18-4;    108-88-3; 79-01-6
(CNM)  Contact name(s): Enfleld/C.;    Walters,D.;    Harlln/C.
(ROR)  Responsible Organization: Office of Research and
    Development.office of Environmental Processes and Effects Rese
                             755

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                             Accession No.   6405000103

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Overland Flow Development  (Land
    Treatment)
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model:  Effluents Treatment  plot
    and application wastewater
(ABS)  Abstract/Overview of  Data Base or Model:  Effluents  from overland
    flow mode of land    treatment are monitored for water quality
    improvement  with respect to hydraulic  loading and  preapplicatlon
    treatment.
(CTC)  CQHTACTS: Subject matter   Bert Bledsoe  (405)332-8800;
    Computer-related  Jerry  Davis
(DTP)  Type of data collection or monitoring:  Point source data
    collection Treatment plot effluent
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in  Data  Base: 11 conventional
    water
(NPP)  Non-pollutant parameters included in the  data base: Chemical
    data ;Location ;Samp ling date ^Horizontal  distance  down treatment
    plot
(DS)  Time period covered by data base: 03-01-71 TO 09-30-81
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: Other  Weekly biweekly
    monthly
(NOB)  Number of observations in data base:  13292.(Estlnated)
(NEI)  Estimated annual increase of observations in data base: 1680.
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data base: 31.
(HCS)  Bo. stations or sources currently originating/contributing data:
    ia.
(NOF)  Number of facilities  covered in data base (source monitoring):  (N
    /A.)
(LOC)  Data elements identifying location of station or source include:
    Project identifier
(FAC)  Data elements identifying facility include: Program identifier
(CDE)  Pollutant identification data are: Storet parameter
(LiM)  Limitation/variation  in data of which user should be aware:  None
(DPR)  Data collect./anal, procedures conform to CRD guidelines: Collect
    ion method documented ^Analysis method  documented ;QA  procedures
    document
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit  is satisfactory.
(PRE)  Precision: Precision  and accuracy estimates exist but  ace not
    included in data base.
(EDT)  Editting: NO known edit procedures exist.
(CSV)  Data collected by: EPA lab Robert S.  Kerr Environmental Research
    Laboratory
(ABY)  Data analyzed by: EPA lab Robert S.  Kerr  Environmental Research
    Laboratory
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Anticipatory/research
(AUT)  Authorization for data collection: Statutory authorization is P


                             756

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                             Accession So.   6405000103      (cont)

    L 92-500 Section 104 (Clean Air Act of  1972    as amended)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    Feasibility of Overland Flow EPA 660/2-74-087; Enhanced Phosphorus
    Removal of Ran Hasteuater with Overland Flou EPA-660/2-76-131
    Printouts on request
    Machine-readable ran data
(NUS)  Number of regular users of data bases  1 office
(USR)  Current regular users of data base:  EPA laboratories
(CNF)  Confidentiality of data and limits on access: No limits  on
    access to data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software Environmental  Data Evaluation
    System (EDSS) ;EPA hardware POP  11/7
(CHG)  Direct charge for non-EPA use: Mo outside use/access permitted
(UPDT)  Frequency of data base master file  up-date:  Other  Project
    period update
(CMP)  Completion of form:
    Bert Bledsoe
    OFC: Robert Kerr Environmental Research Laboratory
    AD: P.O.Box 1198 Ada, OK 74820
    PH: (405)332-2324
(DF)  Date of form completion: 01-27-83
(NMAT)  Number of substances represented in data base;  8
(NCAS)  Number of CAS registry numbers in data base: 2
(MAT)  Substances represented in data base*
    dissolved oxygen                     oxygen demand
    dissolved solids                     pH
    fecal collform                       phosphorus<7723-14-0>
    nitrogen<7727-37-9>                  suspended solids
(CAS)  CAS registry numbers of substances included in data base: 7727-37
    -9; 7723-14-0
(CNM)  Contact naoe(s): Bledsoe,B.;    Davls,J.  j    Harlin,C«
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects Rese
                             757

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                             Accession Mo«   6405000104

(DQ)  Date of QuestionaireS  12-02-82
(NAM)  Kame of Data Base of  Models  Heavy Metals^ Minerals*,  and Nutrient
    Data Base
(ACR)  Acronym of Data Base  or  Model!  None
(MED)  Media/Subject of Data Base or Model:  Drinking yater  jEffiuents
    Animal waste lagoons jSoil  Bother Feed  j     Solid Maste Animal
    Waste
(ABS)  Abstract/OverView of  Data Base or Models  The data base includes
    heavy metals/ minerals,?  and     nutrients analyzed to characterize
    animal feedlot waste, feed^   feedlot waste  lagoons^ and drinking
    water from eight locations    in the U.S-A.
(CTC)  CONTACTS: Subject matter   Don Clark  (405) 332-8800  |     EPA
    Office  Robert Kerr Envir
(DTP)  Type of data collection  or monitoring: Non point source data
    collection
(STA)  Data Base status: Discontinued
(NPP)  Won-pollutant parameters included in the  data basel  Location
    ^Physical data ;Samp ling date >fest/analysis method
(DS)  Time period covered by data bases 04-01-76 TO 03-30-78
(TRM)  Termination of data collection: Occurred  03/30/78
(FRQ)  Frequency of data collection or sampling: Other Quarterly
(NOB)  Kumber of observations in data bases  7400.(Estimated)
(NEI)  Estimated annual increase of observations in data bases 
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                             Accession No.   6405000104     (cent)

(AOT)  Authorization for data collections  N© statutory requirement!
    Data collection requirement is    to characterize animal wastes
    pollutant potential resulting from various   feed and sater inputs.
(OMB)  Data collected/submitted using QMS-approved EPA reporting forrass
    QQ
(REP)  Form of available reports and outputs of data bases Publications
    Report to be published in National Technical   Information Service
(HUS)  Number of regular users of data base! 5
(OSR)  Current regular  users of data basei  EPA laboratories
    Other federal agencies
    University researchers
(CNF)  Confidentiality of data and limits-on accesss Mo limits on
    access to data
(DLC)  Primary physical location of data:  SPA lab
(DST)  Form of data storages Original form                   manganese<7439-96-5>
    arsenic<7440-38-2>                   nltrate<14797-55-8>
    cadiBium<7440-43-9>                   nitrates/nitrites
    chroraium<7440-47-3>                  phosphorus<7723-14-0>
    cobalt<7440-48-4>                    potassius<7440-09-7>
    copper<7440-50-8>                    selenium<7782-49-2>
    lron<7439-89-6>                      sodium<7440-23-5>
    lead<7439-92-l>                      zinc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data bases 7429-90
    -5; 7440-38-2; 7440-43-9; 7440-47-3;   7440-48-4; 7440-50-8;
    7439-89-6; 7439-92-1; 7439-96-5; 14797-55-8;    7723-14-0;
    7440-09-7; 7782-49-2; 7440-23-5; 7440~66-6
(CNH)  Contact narae(s): Clark,D«
(COR)  Contact organization! Robert Kers: Environ. Research Lab
(ROR)  Responsible Organizationi Office of Research and
    Development.Office of Environmental Processes and Effects Rese
                             759

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                             Accession No,   6405000106

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data ease of Model: Conventional Hater Pollutants
    (Offshore Oil)
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model:  Effluents
CABS)  Abstract/Overview of Data Base or Model: This data  base  contains
    conventional Mater pollutants tested in   influents  and effluents  of
    treatment systems of offshore oil production    platforms.  Results
    are reported in milligrams per liter (mg/D*
CCTC)  COMTACTS: Subject natter   Director*-  Oil and Special Materials
    Control    }     EPA Offic
(DTP)  Type of data collection or monitoring:  Point source data
    collection Offshore oil production
(STA)  Data Base status: Operational/ongoing
(NPP)  Non-pollutant parameters Included in  the data base: Chemical
    data ^industry jSampling date ;Site description ^Treatment  devices
(DS)  Time period covered by data base: 07-01-74 TO 08-30-74
(TRH)  termination of data collection: Occurred 08/30/74
(FRQ)  Frequency of data collection or sampling; Other  3 times  at  each
    facility
(NOB)  Number of observations In data base:  150.(Actual)
(NEI)  Estimated annual Increase of observations in data bases  (N/A«)
(INF)  Data base includes: Raw data/observations >Summary  aggregate
    observations
(NTS)  Total number of stations or sources covered  in data base: 50.
(NCS)  Mo. stations or sources currently originating/contributing  data:
    (N/A.)
CNOF)  number of facilities covered in data  base (source monitoring): 25
    •
(GEO)  Geographic coverage of data base: Geographic region Coastline
    areas
(LOG)  Data elements identifying location of station or source  include:
    Project identifier
(FAC)  Data elements identifying facility Include:  Plant facility  name
    ;Plant location ^Program identifier
(CDE)  pollutant identification data are: Uncoded
(LIM)  Limitation/variation in data of which user should be aware: None
(DPR)  Data collect./anal, procedures conform to CRD guidelines: Sanplln
    g plan documented ^Collection method documented /Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods?  YES
(AUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates  exist but are not
    included in data base
(EOT)  Editting: No known edit procedures exist.
(CBY)  Data collected by: SPA lab Robert S.  Kerr Environmental  Research
    Laboratory
(ABY)  Data analyzed by: EPA lab Robert S. Kerr Environmental Research
    Laboratory
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection: Development  of  regulations
    or standards


                             760

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                             Accession No.   6405000106     (cont)

CAUT)  Authorization for data collection:  Mo statutory requirement:
    Data collection requirement is    to support regulations  and
    standards
(OMB)  Cata collected/submitted using OMB-approved EPA reporting  forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Unpublished
    reports Offshore Crude Oil Hastewater Characterization  Study
(NUS)  Number of regular users of data base: 1 office
(USR)  current regular users of data base:  EPA headquarter  offices Oil
    and Special Materials Control Division
(CNF)  Confidentiality of data and limits on access: Ho limits on
    access to data
(DLC)  Primary physical location of data:  EPA lab
(DST)  Form of data storage: Original form (hardcopy/ readings)
(DAC)  Type of data access: laboratory data sheets
(CHG)  Direct charge for non-EPA use: No
(OpCf)  Frequency of data base master file up-date: Other Hone;  update
    terminated
(CMP)  Completion of form:
    John E. Matthews
    OFC: EPA/(ORD)/(OEPER)/(RSKERL)/Source Management Branch
    AD: P.O. Box 1198, Ada, OK 74820
    PH: (405) 332-8800
(DF)  Date of form completion: 01-27-83
(NMAT)  Number of substances represented in data base: 7
(NCAS)  Number of CAS registry numbers in data base: 3
(MAT)  Substances represented in data base:
    cadmium<7440-43-9>                   pH
    cyanide<57-12-5>                     sulfates
    mercury<7439-97-6>                   suspended solids
    oil and grease
(CAS)  CAS registry numbers of substances included in data  base:  7440-43
    -9; 57-12-5; 7439-97-6
(COR)  Contact organization: Oil and Special Materials Control Division
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Processes and Effects Rese
                             761

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                             Accession No.   6405000107

(DQ)  Date of Questionaire:  12*02-82
(NAM)  Kame of Data Base of  Model:  Priority Pollutants  Data  Base
    (Photographic Chemicals)
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model: Effluents photographic
    chemicals
(ABS)  Abstract/Overview of  Data Base or Model:  Priority pollutants
    tested in effluents from a photographic chemicals plant,  and
    compatibility of   wastewater uith activated sludge process is
    studied in this data base.
(CTC)  CONTACTS:  Subject matter   John Cunningham  (202)426-2576   ;
    EPA Office  Effluent Gui
(DTP)  Type of data collection or monitoring:  Point source data
    collection photographic  chemicals effluents
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in  Data  Base: 15 metals
(NPP)  Non-pollutant parameters included in the  data base: Chemical
    data ^Location ^Manufacturer ;Sampling  date  ;Site description
(DS)  Time period covered by data base: 08-01-80 TO 09-30-80
(TRM)  Termination of data collection: Occurred  09/30/80
(FRQ)  Frequency of data collection or sampling: weekly
(NOB)  number of observations in data base: 114.(Actual)
(NCI)  Estimated annual increase of observations in data base: (N/A.)
(INF)  Data base Includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data base:  2.
(NCS)  No* stations or sources currently originating/contributing data:
    (N/A.)
(NOF)  Number of facilities  covered in data base (source monitoring):  1.
(LOC)  Data elements identifying location of station or source include:
    State ;City ;street address
(FAC)  Data elements identifying facility include: Plant facility name
    ;Plant location
(CDE)  Pollutant identification data are: Uncoded
(LIM)  Limitation/variation  in data of which user should be  aware: None
(DPR)  Data collect./anal, procedures conform to ORD guidelines:  Saraplin
    g plan documented Collection method documented ^Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(ADD)  Lab Audit: Lab audit  is satisfactory.
(PRE)  Precision: Precision  and accuracy estimates exist but  are  not
    included in data base
(EDT)  Editting:  No known edit procedures exist,
(CBY)  Data collected by: EPA lab Robert S. Kerr Environmental Research
    Laboratory-Ada/ OK
(A8Y)  Data analyzed by: EPA lab Robert S.  Kerr  Environmental Research
    Laboratory-Ada/    OK
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Development  of  regulations
    or standards
(AUT)  Authorization for data collection: No statutory  requirement:
    Data base measures concentrations of priority    pollutants in
    photographic chemical plant wastewaters.


                             762

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                             Accession No.   6405000107     (cont)

(OMB)  Data collected/submitted using QMS-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Machine-reada
    ble raw data
(NUS)  Number of regular users of data base: 1 office
(OSR)  Current regular users of data base:  EPA headquarter  offices
    Effluent Guidelines Division
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(OLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Original form (hardcopy, readings)
(DAC)  Type of data access: lab data sheets
(CHG)  Direct charge for non-EPA use: no
(CMP)  Completion of form:
    John E. Matthews
    OFC: EPA/(ORD)/(0£PSR)/(RSKERL)
    AD: P.O. Box 1198, Ada, OK 74620
    PH: (405)332-8800
(DF)  Date of form completion: 01-27-83
(NMAT)  Number of substances represented in data base: 18
(NCAS)  Number of CAS registry numbers in data base: 15
(MAT)  Substances represented in data base:
    2,4,6-trichlorophenol                copper<7440-50-8>
    acetone<67-64-l>                     iron<7439-89-6>
    arsenic<7440-38-2>                   lead<7439-92-l>
    benzene<71-43-2>                     manganese<7439~96«5l-
    bromodichloromethane<75-27-4>        nickel<7440-02-0>
    cadi»iu«n<7440-43-9>                   pH
    chlcrodibroraomethane<124-48-l>       phenol<108-95-2>
    chloroform<67-66-3>                  suspended solids
    chromiura<7440-47-3>                  zinc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data  base: 67-64-1
    ; 7440-38-2; 71-43-2; 75-27-4;    7440-43-9; 124-48-1;  67-66-3;
    7440-47-3; 7440-50-8; 7439-89-6;   7439-92-1; 7439-96-5; 7440-02-0;
    108-95-2; 7440-66-6
(CNM)  Contact narae(s): Cunningham,J.
(COR)  Contact organization: Effluent Guidelines Division
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Processes and Effects Rese
                             763

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                             Accession  No.   6405000108

(OQ)  Date of Questionaire:  12-02-82
(NAM)  Kane of Data Base of  Model:  Priority Pollutants  Data  Base
    (Semiconductors industry)
(ACR)  Acronym of Data Base  or Model:  None
(MED)  yedia/Subject of Data Base or Model: Effluents semiconductors-
    industry
(ABS)  Abstract/Overview of  Data Base  or Model:  Priority  pollutants  in
    a semiconductor plant waste-    water Here analyzed and  the
    compatibility of semiconductor   industrial raw wasteuater  with the
    activated sludge treatment process  and  the applicability of
    pretreatment alternatives to the raw wastewater were  studied.
(CTC)  CONTACTS: Subject matter   Fred  M. Pfeffer  (405)332-8800  ;
    EPA Office  Effluent Gul
(DTP)  Type of data collection or monitoring:  Point source data
    collection wastewater effluent  from semiconductor    industry
(STA)  Data Base status: Ongoing/operational
(NPP)  Non-pollutant parameters included in the data base: Chemical
    data ^industry ;Sampling date ^Treatment devices
(DS)  Tine period covered by data base: 05-01-80 TO 06-30-80
(TRM)  Termination of data collection:  Occurred 10/30/80
(FRQ)  Frequency of data collection or  sampling: daily
(NOB)  Number of observations in data  base: 510.(Estimated)
(NEI)  Estimated annual increase of observations in data  base: (N/A.)
(INF)  Data base includes: Raw data/observations ;Sunmary aggregate
    observations
(NTS)  Total number of stations or  sources  covered in data base: 12*
(NCS)  No. stations or sources currently originating/contributing data:
    0,
(NOF)  Number of facilities  covered in  data base (source  monitoring): 1.
(LOG)  Data elements identifying location of station or source include:
    Street address
(FAC)  Data elements identifying facility include: Parent corp location
(CDE)  Pollutant Identification data are: Uncoded
(LIM)  Limitation/variation  in data of  which user should  be  aware: None
(DPR)  Data collect./anal, procedures  conform to GRD guidelines: Samplin
    g plan documented Collection method documented ;Analysis  method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit  is satisfactory.
(PRE)  Precision: Precision  and accuracy estimates exist  but are not
    Included in data base.
(EOT)  Edltting: Edit procedures used  and documented.
(CBY)  Data collected by: EPA lab Robert S. Kerr Environmental Research
    Lab ^Contractor Oklahoma State  Uni
(ABY)  Data analyzed by: EPA lab Robert S*  Kerr Environmental  Research
    Lab
    Contractor Oklahoma State University
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Development  of regulations
    or standards
(AUT)  Authorization for data collection: Mo statutory  requirement:
    Stu<3y needed to develop  regulations


                             764

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                             Accession Mo.   6405000108     (cont)

(OMB)  Data collected/submitted using OMB-approved EPA reporting forma:
    QQ
(REP)  Form of available reports and outputs of data base:  Unpublished
    reports Compatibility Studies to Determine Effectiveness of
    Treatment Alternatives for Selected Industrial Wasteuater
(NUS)  Number of regular users of data base: 1 office
(GSR)  Current regular users of data base:  EPA headquarter  offices
    Effluent Guidelines Division
(CNF)  Confidentiality of data and limits on access: Ho limits on
    access to data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Original form  (hardcopy, readings)
(DAC)  Type of data access:  Manually
(CHG)  Direct charge for non-EPA use: no
(CMP)  Completion of form:
    Fred M. Pfeffer
    OFC: EPA/(ORD)/(Q£PER)/(RSKERL)
    AD: P.O. Box 1198 Ada, OK 74820
    PH: (405)332-8800
(OF)  Date of form completion: 01-27-83
(NMAT)  Number of substances represented in data base: 25
(NCAS)  Number of CAS registry numbers in data base: 25
(MAT)  Substances represented In data base:
    1,2-dichloropropane<78-87-5>         ethylben2ene<100-41-4>
    2-propyn-l-01<107-19-7>              iron<7439-89-6>
    acetone<67-64-l>                     lead<7439-92-l>
    alurcinura<7429-90-5>                  manganese<7439-96-5>
    antlmony<7440-36-0>                  mercury<7439-97-6>
    arsenic<7440-38-2>                   nickel<7440-02-0>
    barium<7440-39-3>                    phenol<108~95-2>
    beryllium<7440-41-7>                 selenium<7782-49-2>
    cad«ium<7440-43-9>                   silver<7440-22-4>
    carbon tetrachloride<56-23-5>        tetrachloroethylene<127-18-4>
    chroraium<7440-47~3>                  thalliura<7440-28-0>
    copper<7440-50-8>                    zinc<7440-66-6>
    dichloromethane<75-09-2>
(CAS)  CAS registry numbers of substances included in data  base: 78-87-5
    •t 107-19-7; 67-64-1; 7429-90-5;   7440-36-0; 7440-38-2; 7440-39-3;
    7440-41-7; 7440-43-9; 56-23-5;       7440-47-3; 7440-50-8; 75-09-2?
    100-41-4; 7439-89-6; 7439-92-1;   7439-96-5; 7439-97-6; 7440-02-0;
    108-95-2; 7782-49-2; 7440-22-4;      127-18-4; 7440-28-0; 7440-66-6
(CNM)  Contact narae(s): Pfeffer,F.M.
(COR)  Contact organization: Effluent Guidelines Division
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects Rese
                             765

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                             Accession No«   6405000109

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Hodel:  Priority Pollutants  Data Base
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Models Effluents Wood
    preservative, oil refining, pharmaceutical,  and organic chemical
    industries ^Emissions- Air emissions from waste treatment
    facilities
(ABS)  Abstract/Overview of Data Base  or Model!  Priority pollutants
    from full-scale and various   pilot-scale treatment systems tested
    at facilities including     industries  identified as uood
    preservative, oil refining,   pharmaceutical,  organic chemicals,
    rubber, and pesticides.
(CTC)  CONTACTS: Subject matter   Leon Myers  {405) 332-8800 j      EPA
    Office  Effluent Guidelin
(DTP)  Type of data collection or monitoring; Point source data
    collection-Wood preservative, oil  refining,      pharmaceutical, and
    organic chemical industries
(STA)  Data Base status? Ongoing/operational
(GRP)  Groups of substances represented in  Data  Base: 129 307 CWA 148
    cancelled pesticides
(NPP)  Non-pollutant parameters included in the  data basei Chemical
    data flndustry ^Sampling date ^Treatment devices
(DS)  Time period covered by data basei 05-01-73 fO 02-30-79
(TRM)  Termination of data collection: Occurred  03/30/79
(FRQ)  Frequency of data collection or sampling; daily
(NOB)  Number of observations in data  base: 1560«(Estimated)
(NEI)  Estimated annual increase of observations in data base:  (N/A.)
(INF)  Data base includes: Raw data/observations |Suternary aggregate
    observations
(NTS)  Total number of stations or sources  covered in data base:  55*
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(NOF)  Kumber of facilities covered in data base (source monitoring): 12
    *
(GEO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source include:
    Project identifier
(FAC)  Data elements identifying facility include: Program identifier
(CDS)  Pollutant identification data are: Uncoded
(LIM)  Limitation/variation in data of which user should be aware:  None
(DPR)  Data collect./anal, procedures  conform to DRD guidelines:  Samplin
    g plan documented ^Collection method documented ^Analysis method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(ADD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but are  not
    included in data base.
(EOT)  Editting: No known edit procedures exist.
(CBY)  Data collected by: EPA lab Robert S. Kerr Environmental Research
    Laboratory
(ABY)  Data analyzed by: EPA lab Robert S.  Kerr  Environmental Research
    Laboratory


                             766

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                             Accession Mo«   6405000109
(IDL)  Laboratory Identifications YES
(PR1)  Primary purpose of data collections  Development of regulations
    or standards
(AUT)  Authorization for data collection:  Mo statutory requirenent:
    Data collection requirement is    to support regulations or
    standards..
(OMB)  Data collected/submitted using OMB-approved SPA reporting forass
    QQ
(REP)  Form of available reports and outputs of data bases Publications
    Indicatory Fate Study EPA~60®/2-79»i7§i NTIS   #P880-102809
(NUS)  Number of regular users • of data bases 1 office
(USR)  Current regular users of data bases  EPA hiadquarter offices
    Effluent Guidelines Division
(CNF)  Confidentiality of data and limits on accesss Ho limits on
    access to data
(DLC)  Primary physical location of data?  EPA lab
       Form of data storage! Original form (hardcopy^ readings)
       Type of data accessi Manually
       Direct charge for non-EPA usei n©
        Frequency of data base master file up-dates Other Nones  study
    complete
(CMP)  Completion of forms
    Fred Pfeffer
    OFCi Robert s« Kerr Environmental Research Laboratory
    ADJ P8Q. Box 1198 Ada* OK 74820
    PHS (405) 332-8800
(DF)  Date of form completions 01-27-83
(NMAT)  Number of substances represented in data bases 94
(NCAS)  Number of CAS registry numbers in data bases 88
(MAT)  Substances represented in data base:
    l,l,l-trichloroethane<71-55-         2-nitrophenol<88-75-5>
       6>                                3^4-benzofluoranthene<205-99-2>
(DST)
(DAC)
(CHG)
(UPDT)
       <79-34-5>
    l/l,2-trichloroethane<79-00-5>
    If l-dichloroethane<75-34-3>
    1^2-dichlorobenzene< 95-50™ 1>
    1^ 2»dichloroethane<107-0€»2>
    1^- 2-dichloropropane<78-87-5>
    1^2-trans-dichloroethylene
       <156-60-5>
                                         4/4'-dde(p,p"-ddx)<72-55-9>
                                         4#6-dInitro-o-cresol<534-52-l>
                                         4-chloco a
                                         aldrin<309
    l#4-dichlorobenzene<106™46-7>
    2*4/6-trichlorophenol<88-06-2>
    2f 4-dlchlocophenol<120-83-2>
    2g 4~diraethylphenoI<105«-6'?-9>
    2f 4-dlnitrophenol<51-28-5>
    2^4-dinitrotoluene<121-14-2>
    2f 6-dinitrotoluene<606"20"2>
    2-chloroethylvinyl ether<110»75-8>
    2-chloronaphthane
    2-chlorophenol<95-57-8>
                                         antimony<7440-36-0>
                                         benzene <71-43-2>
                                         ben2o(a)anthracene<56-55-3>
                                         benzo(a)pyrene<50-32-8>
                                         benzo(g,ti,i)p«cylene<191-24-2>
                                         beryl liuffl
                                         bhc (lindane)-»gamma<58'-89-»9>
                                         bhc-alpha<319-84-6>
                             767

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                             Accession No.   6405000109     (cont)

    bhc-beta<319-85~7>                   endrin aldehyde<7421-93-4>
    bhc-<3elta<319-86-8>                  endrin<72-20-8>
    bls(2-ethylhexyl)phthalate           ethylbenzene<100-41-4>
       <117-81-7>                        fluoranthene<206-44-0>
    broiBomethane<74-83-9>                f luorene<86-73-7>
    cadmiura<7440-43-9>                   heptachlor epoxide<1024-57-3>
    carbon tetrachloride<56-23-5>        heptachlor<76-44-8>
    chlordane<57-74-9>                   Indeno (l,2,3-cd)pyrene<193-39-5>
    chlorobenzene<108-90-7>              lead<7439-92-l>
    chlorodibronoraethane<124-48-l>       llndane<58-89-9>
    chloroform<67-66-3>                  nercury<7439-97-6>
    chromium<7440-47-3>                  naphthalene<91-20-3>
    chrysene<218-01-9>                   nickel<7440-02-0>
    copper<7440-50-8>            '        nitrobenzene<98-95-3>
    cyanide<57-l2-5>                     pentachlorophenol<87-86-5>
    ddd(tde)                              phenanthrene<85-01-8>
    ddt                                  phenol<108-95-2>
    di-n-butyl phthalate<84-74-2>        pyrene<129-00-0>
    dibenzo(a,h)anthracene<53-70-3>      seleniuro<7782-49-2>
    dichlorobromomethane<75-27-4>        s!lver<7440-22-4>
    dicMororaethane<75-09-2>             tetrachloroethylene<127-18-4>
    dl€ldrin<60-57-l>                    thallium<7440-28-0>
    diethyl phthalate<84-66-2>           toluene<108-88-3>
    dimethyl phthalate<131-ll-3>         toxaphene<8001-35-2>
    endosulfan sulfate<1031-07-8>        trlbroraonethane<75-25-2>
    endosulfan-alpha<959-98-8>           trlchloro«thylcne<79-01-6>
    endosulfan-beta<33213-65-9>          zlnc<7440-66-6>
(CAS)  CAS registry numbers of substances included In data base:  71-55-6
    ; 79-34-5; 79-00-5; 75-34-3? 95-50-1;       107-06-2; 78-87-5J
    156-60-5; 541-73-1; 106-46-7; 88-06-2;  120-83-2;   105-67-9;
    51-28-5;  121-14-2; 606-20-2; 110-75-8;  95-57-8; 88-75-5;
    205-99-2; 72-55-9; 50-29-3; 534-52-1; 100-02-7; 83-32-9; 107-13-1;
    309-00-2; 120-12-7; 7440-36-0; 7440-38-2; 71-43-2; 56-55-3;
    50-32-8;        191-24-2; 7440-41-7; 58-89-9; 319-84-6; 319-85-7;
    319-86-8; 117-81-7;      74-83-9; 7440-43-9; 56-23-5; 57-74-9;
    108-90-7; 124-48-1; 67-66-3;    7440-47-3; 218-01-9; 7440-50-8;
    57-12-5;  84-74-2; 53-70-3; 75-27-4;   75-09-2; 60-57-1; 84-66-2;
    131-11-3; 1031-07-8; 959-98-8; 33213-65-9;      7421-93-4; 72-20-8;
    100-41-4; 206-44-0; 86-73-7; 1024-57-3; 76-44-8;       193-39-5;
    7439-92-1; 58-89-9; 7439-97-6; 91-20-3; 7440-02-0; 98-95-3;
    87-86-5;  85-01-8; 108-95-2; 129-00-0; 7782-49-2; 7440-22-4;
    127-18-4;      7440-28-0; 108-88-3; 8001-35-21 75-25-2; 79-01-6;
    7440-66-6
(CNM)  Contact name(s): Myers,!..  ;    Guidelines*E.
(RQR)  Responsible Organization: Office of  Research and
    Development.Of£ice of Environmental Processes and Effects Rese
                             768

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                             Accession No.   6405000110

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Priority Pollutants (Pharmaceutical)

-------
                             Accession No.   6405000110     (cont)

(OMB)  Data collected/submitted using QMS-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Unpublished
    reports
(NUS)  Number of regular users of data base: 1 office
(USR)  Current regular users of data base:  EPA headquarter  offices
    Effluent Guidelines Division/Office of    Mater and Waste Management
(CNF)  Confidentiality of data and Units on access: No Halts on
    access to data
(OLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Original form  (hardcopy, readings)
(DAC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: no
(OPDT)  Frequency of data base master file  up-date: Other Rone:  study
    complete
(CMP)  Completion of form:
    Thomas E. Short/ Jr.
    OFC: EPA/(ORD)/(QEPER)/(RSKERL)/(SMB)
    AD: P.O. Box 1198, Ada, OK 74820
    PH: (405) 332-8800
(Dp)  Date of form completion: 01-27-83
(NMAT)  Number of substances represented in data base: 18
(NCAS)  Number of CAS registry numbers in data base: 16
(MAT)  Substances represented in data base:
    l,l,2-trichloroethane<79-00-         dissolved solids
       S>                                lron<7439-89-6>
    Ifl-dichloroethylene<75-35-4>        lead<7439-92-l>
    2-nitrophenol<88-75-5>                nickel<7440-02-0>
    4-nitrophenol<100-02-7>              pH
    antimony<7440-36-0>                  phenol<108-95-2>
    arsenic<7440-38-2>                   selenlum<7782-49-2>
    cadn>ium<7440-43-9>                   sodium<7440-23-5>
    chrcmiura<7440-47-3>                  thallium<7440-28-0>
    copper<7440-50-8>
(CAS)  CAS registry numbers of substances Included in data  base: 79-00-5
    ; 75-35-4; 88-75-5; 100-02-7;     7440-36-0; 7440-38-2; 7440-43-91
    7440-47-3> 7440-50-8; 7439-89-6;     7439-92-1; 7440-02-0;
    108-95-2; 7782-49-2; 7440-23-5; 7440-28-0
(CNM)  Contact name(s): Short,T.
(COR)  Contact organization: Effluent Guidelines Division
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects Rese
                             770

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                             Accession No.   6405000111

(DQ)  Date of Questionnaire:  12-02-82
(NAM)  Name of Data Base of Model:  Priority Pollutants  (Electronics)
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model: Effluents electronic
    industry
(ABS)  Abstract/Overview of Data Base  or Model:  Priority pollutants
    from an electronics industry including  samples from various
    pilot-scale    treatment processes were tested at this  facility*
(CTC)  CONTACTS:  Subject natter   Thomas Short  (405) 332-8800     ;
    EPA Office  Effluent Gui
(DTP)  Type of data collection or monitoring:  Point source  data
    collection
(STA)  Data Base status; Operational/ongoing
(Npp)  Non-pollutant parameters included in the  data base:  Chemical
    data ;industry ;Sarapllng date ;Treatment devices
(DS)  Time period covered by data base: 07-01-80 TO 08-30-80
(TRM)  Termination of data collection: Occurred  08/30/80
(FRQ)  Frequency of data collection or sampling: Other  completed
    approximately bi-weekly
(NOB)  Number of observations in data  base: 6000.(Actual)
(NEI)  Estimated annual increase of observations in data base:  (N/A.)
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources  covered in data  base:  17.
(NCS)  No* stations or sources currently originating/contributing data:
    (N/A.)
(NOF)  dumber of facilities covered in data base (source monitoring):  1.
(GEO)  Geographic coverage of data base: County/smaller location  Palo
    Alto/ CA
(LOG)  Data elements identifying location of station or source  include:
    Project identifier
(FAC)  Data elements identifying facility include: Plant facility name
    ;Plant location
(CDE)  Pollutant identification data are: Uncoded
(LIN)  Limitation/variation in data of which user should be aware: None
(DPR)  Data collect./anal, procedures  conform to ORD guidelines:  Samplin
    g plan documented ^Collection method documented ;Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on CPA-approved or accepted methods?  YES
(AUD)  Lab Audit: Lab audit is satisfactory*
(PRE)  Precision: Precision and accuracy estimates exist but are  not
    included in data base
(EOT)  Edlttlng:  No known edit procedures exist.
(CBY)  Data collected by: EPA lab Robert S. Kerr Environmental  Research
    Lab
(ABY)  Data analyzed by: EPA lab Robert S*  Kerr  Environmental Research
    Lab
(IDL)  Laboratory Identification: YES
(PRO  Primary purpose of data collection:  Development  of regulations
    or standards
(A0T)  Authorization for data collection; No statutory  requirement:
    Data collection requirement is    to develop regulations


                             771

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                             Accession No.   6405000111
                  (cent)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Unpublished
    reports
(NUS)  dumber of regular users of data base: 1 office
(OSR)  Current regular users of data base:  EPA headquarter  offices
    Office of Water Programs, Effluent  Guidelines Division
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Original form (hardccpy, readings)
(DAC)  Type of data access:  Manually
(OPDT)  Frequency of data base master file up-date:
(CMP)  Completion of form:
    Thomas E. Short
    OFC: EPA/(ORD/(OSPER)/(8SKERL)
    AD: P.O. Box 1198, Ada,  OK 74820
    Pfi: (405) 332-8800
(DF)  Date of form completion: 01-27-83
(WHAT)  Number of substances represented in data base: 45
(NCAS)  Number of CAS registry numbers in data base: 41
(MAT)  Substances represented in data base:
           Other study ended
    l,i-dichloroethylene
    l,2,4,-trichlorobenzene<120-82-l>
    If2-dichlorobenzene< 95-50-l>
    1,2-trans-dichloroethylene
       <156-60-5>
    2,4-dichlorophenol
    2-chlorophenoK9S-S7-8>
    2-nitrophenol<88-75-5>
    4-nitrophenol<100-02-7>
    antimony<7440-36-0>
    arsenic<7440-38-2>
    benzene<71-43-2>
    beryllium<7440-41-7>
    bis(2-ethylhexyl)phthalate
    butyl benzyl phthalate<85-68-7>
    caditium<7440-43-9>
    carbon tetrachloride<56-23-5>
    chlorobenzene<108-90-7>
    chloroform<67-66-3>
    chlororaethane<74-87-3>
    chroraiura<7440-47-3>
    copper<7440-50-8>
(CAS)
cyanide<57-12-5>
dibutyl phthalate<84-74-2>
dichloronethane<7S-09-2>
diethyl phthalate<84-66-2>
dissolved oxygen
fluorene<86-73-7>
fluorides
lead<7439-92-l>
raanganese<7439-96-5>
mercury<7439-97-6>
nickel<7440-02-0>
nitrophenol<25154-55-6>
PH
phenoi<108-95-2>
selenium<7782-49-2>
silver<7440-22-4>
tetrachloroethylene<127-18-4>
thallium<7440-28-0>
titaniuB<7440-32-6>
toluene<108-88-3>
total reduced sulphur
trichloroethane<25323-89-l>
trichloroethylene<79-01-6>
zinc<7440-66-6>
       CAS registry numbers of substances included in data base: 75-35-4
    } 120-82-1; 95-50-1; 156-60-5;    120-83-2; 95-57^8; 88-75-5?
    100-02-7; 7440-36-0; 7440-38-2; 71-43-2;       7440-41-7; 117-81-7;
    85-68-7; 7440-43-9; 56-23-5; 108-90-7; 67-66-3;       74-87-3;
    7440-47-3; 7440-50-8; 57-12-5; 84-74-2; 75-09-2; 84-66-2;
    86-73-7; 7439-92-1; 7439-96-5; 7439-97-6; 7440-02-0; 25154-S5-6;
                             772

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                             Accession No.   6405000111      
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                             Accession No»   6405000112

C0Q}  Date of Questionaires 12-02-82
(NAM)  Jlarae of Data Base of Models  Priority Pollutant Data Base
    (Petroleum Refining)
CACR)  Acronym of Data Base or Model:  None
(HED)  Madia/Subject of Data Base or Models Effluent - petroleum
    refining
(ABS)  Abs tract/Over vleH of Data Base or Models  Priority pollutants
    detected in Intake water for 12    petroleum refineries and
    Influents and effluents of these   refineries biological treatment
    systems.,
(CTC)  CONTACTS? Subject matter  Leon fl. Myers/  Chief, Industrial
    Sources   >     EPA Office  Jo
(DTP)  Type of data collection or monitoring:  Point source data
    collection
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances represented in  Data  Base: 129 307 CHA |11
    conventional Hater
(MPP)  Non-pollutant parameters Included in the  data bases Collection
    method ;Flon rates ;Industry ^Sampling  data  iSite description |
    Test/analysis method ftreatment devices
(DS)  Time period covered by data bases 03-01-77 TO 08-31-77
(TRM)  Termination of data collection: Occurred  08/31/77
(FRQ)  Frequency of data collection or samplings Terminated-daily
(HOB)  Number of observations in data base: 400(Actual)
(NEI)  Estimated annual Increase ©f observations in data bases  (N/A)
(IMF)  Data base Includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data bases 36
    }  Ffee stations 43i: sources currently originating/contributing datai
CHOP)  Wumber of facilities covered in data base Csource monitoring):  
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                             Accession No.   6405000112
                  (cont)
    or standards
(PR2)  Secondary purpose of data collections  Anticipatory/research
(ADT)  Authorization for data collection: No statutory requirement:
    Data base measures concentrations of    priority pollutants in
    petroleum refinery uasteuaters.
(OMB)  Data collected/submitted using OMB-approved SPA reporting forms:
    QQ
{REP)  Form of available reports and outputs of data base:  Machlne-reada
    ble raa data
CUSR)  Current regular users of data base: EPA headquarter  offices
    Effluent Guidelines Division
(CNF)  Confidentiality of data and limits on access: No liraits on
    access to data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storages Original form (hardcopy, readings)
(D&C)  Type of data access: Lab Data Sheets
(CHG)  Direct charge for non-EPA use: Mo
(UPDf)  Frequency of data base master file up-date: Other None
(CMP)  Completion of form:
    John E. Matthews
    OFC: Robert S« Kerr Environmental Research Lab/OWWM/lndustrial
    Sources Section
    AD: P.O. Box 1198, Ada, Oklahoma  74820
    PR: (405)332-8800 Ex. 233
(DF)  Date of form completion: 01-27-33
(NMAT)  Number of substances represented in data base: 144
CNCAS)  Number of CAS registry numbers in data base: 133
(HAT)  Substances represented in data base:
    I, l,l=trichloroethane<71-55-
       6>
    1,1,2,2,-tetrachloroethane
       <79-34-5>
    l,l,2-trichloroethane<79-00-5>
    l,l-dichloroethane<75-34~3>
    Ifl~dichloroethylene<75-35-4>
    l,2,4,-trichlorobenzene<12Q~82-l>
    1,2-dichlorobenzene< 95-50-l>
    1, 2-dichloroethane<107-06-2>
    1,2-dichloropropane<78-87-5>
    1,2-dichloropropylene<563-54-2>
    1, 2-diphenylhydrazine<122-66»7>
    1,2-trans-dichloroethylene
       <156-60-5>
    1,3-dichlorobenzene<541-73-l>
    l,4-dichlorobenzene<106-46-7>
    2, 4, 6- tr ichlorophenoK 88-0 6-2>
    2, 4,7, 8-tetrachlorodlbenzo-p-
       cioxin (tcdd)
    2,4-dichlorophenol<120-83-2>
    2,4-di»ethylphenol<105-67-9>
    2,4-dinitrophenol<51-28-5>
    2,4-dinitrotoluene<121-14-2>
2/6-dinitrotoluerie<606»20-2>
2-chloroethylvinyl ether<110-75-8>
2-chloronaphthalene<91-58-7>
2-chlorophenol<95-57-8>
2-nitrophenol<88-75-5>
3,3'-dichlorobenzidine<91-94-l>
3,4-benzofluoranthene<205-99-2>
4,4'-ddd(p,p'tde)<72-54-8>
4,4'~dde(p,p *-ddx<72-55-9>
4,4"-ddt<50-29-3>
4,6-dinitro-o-cresol<534-52-l>
4-bromophenyl phenyl ether
   <101-55-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
acenaphthene<83-32-9>
acenaphthylene<208-96-8>
acidity
acrolein<107-02-8>
acrylonitrile<107-13-l>
aldrin<309-00-2>
alkalinity
ammonia<7664-41-7>
                             775

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                         Accession Mo.  6405000112
                  (cont)
anthracene<120-12-7>
antimony<7440-36-0>
arsenic<7440-38-2>
asbestos<1332-21-4>
benzene<71-43-2>
benzidine< 92-87-5>
benzo< a) anthracene<56-55-3>
benzo(a)pyrene<50-32~8>
benzo(g,tvi)perylene<191-24-2>
benzolk)£luoFanthene<207-08-9>
beryllium<7440-41-7>
bhc (lindane)-ganraa<5a-89~9>
bhc-alpha<319-84-6>
bhc-beta<3!9-85-7>
bhc-delta<319-86>8>
bis{ 2-chloro a thoxy)m ethane
bis(2-chloroethyl)ether
bis(2«"Chloroisopropyl) ether
   <39638-32-9>
bis(2-ethylhexyi)phthalate
bisichloromethyl)ether<542-88-i>
br onod 1 ch 1 or o roe t h a ne< 7 5- 27 - 4>
broaofflethane<74-83-9>
butyl benzyl phthalate<8S-68-7>
cadfflium<7440-43~9>
carbon tstrachioride<56-23-5>
chlordane<57-74-9>
chlorobenzene<108-90-7>
chlorodibr oraome thane
chloroethane<75-00-3>
chloroform<67^66-3>
chloromethane<74»87~3>
chromluai<7440-47-3>
chrysene<218-01-9>
copper<7440~50-8>
cyanlde<57-12-5>
di-n-butyl phthalate<84-74-2>
dl-n-octyl phthalate<117-84-0>
dibenzo{a,h)anthracene<53-70-3>
dlbroinochloromethane<124-48-l>
di chlorobromoiaethane<7 5-27- 4>
dichlorodIfluororaethane<75-71-8>
dlchloromethane<75-09-2>
dleldrin<60-57-l>
dlethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
dissolved oxygen
dissolved solids
endosulfan suifate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylbenzene<100-41-4>
fecal coliform
f luoranthene<206-44-0>
fluorene<86-73-7>
heptachlor epoxide<1024-57-3>
h€ptachlor<76-44-8>
hex achlorobenzene< 118-7 4-l>
hexachlorobutadlene<87-68-3>
hexachlococyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
1 ndeno ( 1, 2, 3-cd) pyrene 
isophorone<78-59-l>
lead<7439-92-l>
«ercury<7439-97-6>
n-nitrosodi-n-propylanine
   <621-64-7>
n-nltrosodiieethyiamine<62-75-9>
n-nitrosodiphenylaaine<86-30-6>
naphthalene<91-20>3>
nickel<7440-02-0>
nitrobenzene<98-95-3>
nitrogen<7727-37»9>
oil and grease
oxygen demand
p-chloro-m-cresol<59-50-7>
PH
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 Carochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469»21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69~1>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorophenol<87-86-5>
phenanthrene<85-01-8>
phenol<108-95-2>
pyrene<129-00-0>
selenium<7782-49~2>
silver<7440-22-4>
sulf ides
suspended solids
tetrachloroethylene<127-18-4>
                         776

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                             Accession No.   6405000112     (cont)

    thalliuin<7440-28-0>                  trichloroethylene<79-01-6>
    titanium<7440-32-6>                  trichlorofluororaethane<75-69-4>
    toluene<108-88-3>                    vinyl chloride<75-01-4>
    toxaphene<8001-35-2>                 zinc<7440-66-6>
    tribroaomethane<75-25-2>
(CAS)  CAS registry numbers of substances included in data base: 71-55-6
    ; 79-34-5;  79-00-5; 75-34-3;  75-35-4;       120-82-1; 95-50-1;
    107-06-2; 78-87-5; 563-54-2;  122-66-7;  156-60-5;   541-73-1;
    106-46-7; 88-06-2; 120-83-2;  105-67-9;  51-28-5; 121-14-2;
    606-20-2; 110-75-8; 91-58-7;  95-57-8; 88-75-5; 91-94-1; 205-99-2;
    72-54-8; 72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7;
    83-32-9; 208-96-8; 107-02-8;  107-13-1;  309-00-2; 7664-41-7;
    120-12-7;      7440-36-0; 7440-38-2; 1332-21-4; 71-43-2; 92-87-5;
    56-55-3; 50-32-8;       191-24-2; 207-08-9; 7440-41-7; 58-89-9;
    319-84-6; 319-85-7; 319-86-8;      111-91-1; 111-44-4; 39638-32-9;
    117-81-7; 542-88-1; 75-27-4;  74-83-9;      85-68-7; 7440-43-9;
    56-23-5; 57-74-9; 108-90-7; 124-48-1; 75-00-3;    67-66-3; 74-87-3;
    7440-47-3;  218-01-9; 7440-50-8; 57-12-5; 84-74-2;   117-84-0;
    53-70-3; 124-48-1; 75-27-4; 75-71-8; 75-09-2; 60-57-1;
    84-66-2; 131-11-3; 1031-07-8; 959-98-8; 33213-65-9; 7421-93-4;
    72-20-8; 100-41-4; 206-44-0;  86-73-7; 1024-57-3; 76-44-8; 118-74-1;
    87-68-3; 77-47-4; 67-72-1; 193-39-5; 78-59-1; 7439-92-1; 7439-97-6;
    621-64-7; 62-75-9; 86-30-6; 91-20-3; 7440-02-0; 98-95-3; 7727^37-9;
    59-50-7; 12674-11-2; 11104-28-2; 11141-16-5; 53469-21-9;
    12672-29-6;       11097-69-1; 11096-82-5; 87-86-5; 85-01-8;
    108-95-2; 129-00-0;    7782-49-2; 7440-22-4; 127-18-4; 7440-28-0;
    7440-32-6;  108-88-3;       8001-35-2; 75-25-2; 79-01-6; 75-69-4;
    75-01-4; 7440-66-6
(CNM)  Contact name(s): Myers,L.H.
(COR)  Contact organization: John Lunv Effluent Guidelines Div/OMVM/
(ROR)  Responsible Organization:  Office of Research and
    Development.Office of Environmental Processes and Effects Rese
                             777

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                             Accession  No.   6405000113

(Dq)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Conventional  Water Pollutant Data
    Base (Petroleum Refining)
(ACR)  Acronym of Data Base  or  Model: None
(MED)  Media/Subject of Data Base or Model:  Effluent petroleum refining
(ABS)  Abstract/Overview of  Data Base or Model:  Conventional  water
    parameters data from raw wastes     of  17  petroleum  refineries  and
    from influent,  aeration  basin    and effluent of five  refinery
    activated sludge plants.

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                             Accession No.   6405000113      (cont)

    Data collection requirement charac-     terizes ran wasteuaters of
    petroleum refining industry by con-   ventional pollutants.
(OMB)  Data collected/submitted using QMS-approved EPA  reporting  forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Machine-reada
    ble raw data
(USR)  Current regular users of data base:  EPA headquarter
    offices-Effluent Guidelines Division
(CNF)  Confidentiality of data and limits on access: No Units on
    access to data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Original form (hardcopy, readings)
(DAC)  Type of data access: Lab Data Sheets
(CHG)  Direct charge for non-EPA use: Mo
(UPDT)  Frequency of data base master file up-date: Other
    None-terminated
(CMP)  Completion of form:
    John Mattheus
    OFC: Robert 5. Kerr Environmental Research Lab; Source  Manage-
    ment Branch, Industrial Sources Section
    AD: P.O. Box 1198, Ada/ Oklahoma, 14820
    PH: (405) 332-8800 Ex. 233
(DF)  Date of form completion: 01-27-83
(NMAT)  Number of substances represented in data base:  20
(NCAS)  Number of CAS registry numbers in data base: 10
(HAT)  Substances represented in data base:
    acidity                              lead<7439-92-l>
    alkalinity                           nitrate<14797-55-8>
    ammonia<7664-41-7>                   nltrogen<7727-37-9>
    chroraiunK7440-47-3>                  oil and grease
    copper<7440-50-8>                    oxygen demand
    cyanide<57-12-5>                     pfl
    dissolved oxygen                     phenol
    dissolved solids                     phosphorus<7723-14-0>
    fecal coliform                       sulfides
    lron<7439-89-6>                      suspended solids
(CAS)  CAS registry numbers of substances included in data  base:  7664-41
    -7; 7440-47-3; 7440-50-8; 57-12-5?     7439-89-6; 7439-92-1;
    14797-55-8; 7727-37-9; 108-95-2; 7723-14-0
(CUM)  Contact name(s): Myers,L.H.
(COR)  Contact organization: John Lum, Effluent Guidelines  Division
(RQR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Processes and Effects Rese
                             779

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                             Accession No.   6406000106

(DQ)  Date of Questioaalre:  12-02-82
(NAM)  Name of Data Base of  Model:  Colstrip Air Quality Data Base
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model: Air
(ABS)  Abstract/Overview of  Data Base or Model: Sulfur  dioxide,  ozone,
    cloud condensation nuclei, solar radiation, windspeed,  wind
    direction, air temperature at four sites near two 350 megawatt
    coal-fired power plants  at   Colstrip,  Mf.
(CTC)  CONTACTS:  Subject matter Dr. J.D. Ludwick, Battelle   (503)
    444-3431? Computer-related Dr.  J.D. Ludick, Battelle (503)
    444-34311   EPA Office Office Research  Development, Environ.
    Research Lab,
(DTP)  Type of data collection or monitoring:  Point source  data
    collection Coal-fired power plant
(STA)  Data Base  status: Discontinued
(GRP)  Groups of  substances  represented in  Data Base: 7 criteria  NAAQS
(NPP)  Non-pollutant parameters included in the data base:  Biological
    data ^Location jSamp ling date ;Temperature  ;tfind direction ;
    Mind velocity
(DS)  Time period covered by data base: 08-01-77 TO 04-30-79
(TRM)  Termination of data collection: Occurred 04/30/79
(FRQ)  Frequency  of data collection or sampling: less than  hourly 15
    per hour
(NOB)  Number of  observations in data base: 12750.(Estimated)
(NEI)  Estimated  annual increase of observations in data base: 0.
(INF)  Data base  includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources  covered in data  base:  6.
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(NOF)  Number of  facilities  covered in data base (source monitoring): 1.
(GEO)  Geographic coverage of data base: County/smaller location
    Colstrip, Montana
(LOG)  Data elements identifying location of station or source Include:
    State ^County Congressional district ;Project identifier
(FAC)  Data elements identifying facility include: Plant facility name
    ;Plant location ;Program identifier
(CDE)  Pollutant  identification data are: Uncoded
(LIM)  Limitation/variation  in data of which user should be aware:  Not
    all sites were sampled continuously; not all  parameters measured
    at all sites.
(DPR)  Data collect./anal, procedures  conform to ORD guidelines:  Samplln
    g plan documented ;Collection method documented ^Analysis method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(ADD)  Lab Audit: Lab audit  Is satisfactory.
(PRE)  Precision: Precision  and accuracy estimates exist but are  not
    included in data base.
(EOT)  Edltting:  Edit procedures used but undocumented.
(CBY)  Data collected by: Contractor lab Battelle Pacific Northwest
    Laboratories

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                                                                       X,
                             Accession Ho,   6406000106     (cont)

    Laboratories
CIDL)  Laboratory identifications  ¥ES
(PR1)  Primary purpose of data collection:  Anticipatory/research
(AUT)  Authorization for data collection:  No statutory requirement:
    Data collection requirement is    to support research projects at
    the laboratory,
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Publications
    Air Quality Measurements in the Coal Fired Power    Plant
    Environment of Colstrip, HT, Atra, En 14s523-S32
    Unptiblished reports As above,  Battelle* PML-2964
(NOS)  Fumber of regular users of data base: 6 plus public access
(USR)  Current regular users of data base:  EPA regional offices Region
    VIII
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data:  Contractor
(DST)  Form of data storage: Magnetic tape ;Magnetic disc
(OAC)  Type of data access: Data available in raw form on tape or
    cards; user must supply     oun software
(CHG)  Direct charge for non-EPA use: Yes
(UPDT)  Frequency of data base master file up-date: Other None
(CMP)  Completion of form:
    Eric M. Preston
    QFC: Office Research and Development Environmental Research Lab,
    Air Pollution Effects Branch
    AD: 200 SM 35th St, Conrallis, OR 97330
    PHS (503) 757-4636
(DF)  Date of form completions 01-25-83
(NMAT)  Number of substances represented in data base: 3
(NCAS)  Number of CAS registry numbers in data base: 2
(HAT)  Substances represented in data base:
    ozone<10028-15-6>                    total suspended particulates
    sulfur dioxide<7446-09-5>
(CAS)  CAS registry numbers of substances included in data base: 10028-1
    5-6 j 7446-09-5
(CNM)  Contact name(s): Luduick,J.D.   ;    Ludick,J.D.
(COR)  Contact organization: Office Research Development, Environ*
    Research Lab,
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Processes and Effects Rese

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                             Accession Mo.   640600010?

(DQ>  Date of Qu«stioaaire: 12-02-82

-------
                             Accession So.   6406000107     (cont)

    photochemicals on a mixed conifer forest ecosystem.
(OMB)  Data collected/submitted using QMB-approved EPA reporting foriass
    QQ
(REP)  Form of available reports and outputs of data bases  Publications
    Many and varied articles
    Unpublished reports photochemical Osidant Effects on Conifers
    Machine-readable ra« data
(NUS)  Number of regular users of data basei 1 office
(OSR)  Current regular users of data bases  contractor
(CNF)  Confidentiality of data and limits on access: Ho limits on
    access to data
(DLC)  Primary physical location of datas EPA lab
(DST)  Form of data storagei Magnetic tape
(DAC)  Type of data accessi User must supply own software
(CHG)  Direct charge for non-EPA uses yes
(UPDT)  Frequency of data base master file up-dates Other project
    completed
(CMP)  Completion of form?
    Raymond G. Wilhour
    OFC: EPA/CORD)/(0&PER)/{ERL-Corvallis)
    ADs 200 SK. 35th St. Corvallis, OR 97330
    PHs (503) 757-4634
(DF)  Date of form completion; 01-25-83
(NMAT)  Number of substances represented in data base: 1
(NCAS)  Number of CAS registry numbers in data bases 1
(MAT)  Substances represented in data base;
    ozone<10028-lS~6>

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                             Accession No,   6406000108

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  National Eutrophicatlon Survey
(ACR)  Acronym of Data Base or Model:  NES
(MED)  Media/Subject of Data Base or Model: Effluents Municipal
    Suspended total participates /Surface Hater Streams,  lakes,
(IBS)  Abstract/Overview of Data Base or Model: Approximately 800 lakes
    and reservoirs and their  major tributaries and outlets were  each
    sampled for a one   year span during 1972-76,   the nain objectives
    of the program    Mere to determine the tropic condition of each
    water body,  to identify major nutrient sources/ and  to establish a
    nutrient  budget.  Lake data included most common limnological
    parameters.  Streams and wastewater effluents  Here analyzed only
    for nutrient content.
CCTC)  CONTACTS: Subject matter Jack Gakstalter  (503) 757-4612/
    Computer-related STORET User Assistance (202)  426-7792;    EPA
    Office Director, Environmental Research Lab-Corvallis (503)
(DTP)  type of data collection or monitoring:  Combination/Other
    point-source and non-point-source data collection
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances represented in Data Base: 11  conventional
    water
(NPP)  Non-pollutant parameters included in the data base: Biological
    data /Chemical data /Concentration measures ;Discharge points ;
    Location /Physical data /Political subdivisions /Sampling date /
    Site description /Temperature
(OS)  Time period covered by data base: 05-01-72 TO 12-30-75
(TRM)  Termination of data collection: Occurred 12/30/75
(FRO)  Frequency of data collection or sampling: Other Monthly for
    stream and wasteuater plant samples; spring, summer  and fall for
    lake samples
(HOB)  Number of observations in data base: 500000.(Estimated)

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                             Accession Mo.   6406000108      Ccont)

(AND  Lab analysis based on EPA-approved or accepted methods?  YES

    nitrogen<7727-37-9>
(CAS)  CAS registry nuabers of substances included  in data  base: 7727-37
    -9} 7723-14-0
CCtfM)  Contact name(s): Gakstatter^J«  ;    Assistance,S.U,
(CQR)  Contact organization: Director, Environmental Research
    Lab-Corvallis
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects Rese
                             785

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                             Accession No.   6407000103

(DO)  Date of Questionaire:  12-02-82
(NAN)  Name of Data Base of  Model:  Lake Analysis Management  Systea
(ACR)  Acronym of Data Base  or Model:  LAMS
(MED)  Media/Subject of Data Base or Model:  Atmospheric  deposition
    ;Sediment ^Surface water lake/  river mouth }    Tissue fish
(ABS)  Abstract/Overview of  Data Base  or Model: This data base includes
    all uater quality    data collected by  the EPA,  Office of Research
    and Development research program as administered by  the    Large
    Lakes Research Station/  Grosse He/ MI  since 1971.    Data base
    also includes Canadian Great Lakes data since 1968.
(CTC)  CONTACTS:  Subject matter   William L. Richardson   (218)
    727-6692;     Computer-related William  L. Richardson (313) 226-7811
    ?
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in  Data Base: 15 metals
(NPP)  Non-pollutant parameters included in the data base: Biological
    data >Chemical data ^Concentration measures ;Elevation ;    Flow
    rates ^Physical data ;Salinity ;Sampling date ;site  description >
    Temperature ^turbidity ;transparency ;total alkalinity ;biocheaical
    oxygen demand }  dissolved oxygen  >total residue ;total  hardness
    ;total volatile residue  ;  total non-filterable  residue  ;total
    carbon ;silica ;chlorophyll a ;   zooplankton ;phytoplankton
(DS)  Time period covered by data base: 05-01-68 TO  10-30-79
(TRM)  Termination of data collection: Hot  anticipated
(FRQ)  Frequency of data collection or sampling: daily jOther
    varlable-usually 10-12 cruises per year
(NOB)  Number of observations in data  bases  1000000.(Estimated)
(NEI)  Estimated annual increase of observations in  data base: 10000*
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data base:  7000.
(NCS)  No. stations or sources currently originating/contributing data:
    100.
(NOF)  Number of facilities  covered in data base (source monitoring):  (N
    /A.)
(GEO)  Geographic coverage of data base: International
(LOG)  Data elements identifying location of station or  source include:
    State ;Coordinates latitude/longitude
(FAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant identification data are: Storet parameter
    Other coding scheme
(LIN)  Limitation/variation  in data of which user should be  aware: Data
    exists in several places:  STORET   (Storage and  Retrieval of Hater
    Quality Data)/ Large  Lake Research Station-Data Storage and
    Analysis System/     and reports.   Data varies according to  lake/
    nearshore area/ water quality issue. Much of the data used  for
    development of fate and  transport  models.
(DPR)  Data collect./anal, procedures  conform to ORD guidelines: Samplln
    g plan documented Collection method documented
(AND  Lab analysis based on EPA-approved or accepted methods? NO
(ADD)  Lab Audit: Lab audit  is satisfactory for 50%.
(PRE)  Precisions Precision  and accuracy estimates exist but are not


                             786

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                             Accession No.   6407000103      (cont)

    Included in data base.    Edit part of data stared In STORET.
(CBY)  Data collected by:  EPA lab Large Lakes Research  Station/
    Environmental Research  Lab-Duluth/ MN ;Contractor lab State
    University of New York-Buffalo,   University of Michigan/  Ohio  State
    University/ Cranbrook  Research Institute ;   Canadian Center for
    Great Lakes Research
(ABY)  Data analyzed by: EPA lab Large Lakes Research Station/
    Environmental Research      Lab-Duluth/  MN
    Contractor lab Manhattan College
(IDL)  Laboratory Identification: YES
(AUT)  Authorization for data collection: Statutory authorization  is  P
    L 92-500/ Sections 104/ and 105  (Great  Lakes)  (Clean Water
    Act-CWA)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    "Mathematical Models of Water Quality/" Large Lakes Research
    Station/ National Technical Information Service
    Unpublished reports Distribution of Polychlorinated Biphenyls
    (PCB) in Saginau Bay
    Machine-readable raw data
    On-line computer
    through STORET system
(NUS)  Number of regular users of data base: 10 or more
(OSR)  Current regular users of data base:  SPA regional offices
    EPA laboratories
    Other federal agencies
    States
    International Joint Co minis si on
(CNF)  Confidentiality of  data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of  data: NCC/IBM
(DST)  Form of data storages Magnetic disc
(DAC)  Type of data access: EPA software STORET (Storage and Retrieval
    of Hater Quality  Data) & Data Storage and Analysis (DASA)
    HIDSJ6505000103HA ;    EPA hardware IBM and POP 11/45
(CHG)  Direct charge for non-EPA use: yes
(OPDT)  Frequency of data  base master file up-date: Other periodic as
    needed
(RSS)  Related EPA automated systems which use data base: Great  Lakes
    Mathematical Models
(CMP)  Completion of form:
    William L. Richardson
    OFC: EPA/(ORD)/(OEPER)/
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                             Accession No,   640*7000103     (cont)

(MAT)  Substances represented in data bas<@s
    ammonia nitrogen                        <11104-28-2>
    cadnsiuiB<7440-43-9>                   pcb~1242 Carochlor 1242}
    chloride                                
    copper<7440-50-8>                    pcb-1248 (arochlor 1248)
    kjeldahl nitrogen                       <12672~29-6>
    lead<7439-92-l>                      pcb-1254 (arochior 1254)
    nitrates/nitrites                       <11097~69-1>
    nitrogen<7727-37-9>                  pcb-1260 Carochlor 1260)
    pH                                      <11096-82-5>
    pcb homologs                         phosphoms<7723-14-0>
    pcb-1016 (arochlor 1016)             polychlorinated biphenyis (PCBs)
       <12674-ll-2>                      zinc<7440-66-6>
    pcb-1221 (arochlor 1221)
(CAS)  CAS registry numbers of substances included in data bases 7440-43
    -9; 7440-50-8> 7439-92-lj 7727-37-9;   12674-11-2* 11104-28-2?
    53469-21-9;  12672-29-6; 11097-69-1;      11096-82-5; 7723-14-0;
    7440-66-6
(CNM)  Contact name(s): Richardson,UaL.;    Richardson^M.L.
(COR)  Contact organizations Richardson
(ROR)  Responsible Organizations Office of  Research and
    Development.Office of Environmental Processes and Effects Rese
                             788

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                             Accession Ho.   6407000104

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Same of Data Base of Model:  Biological Data Base in Outdoor
    Experimental channels
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model:  Surface water Mississippi
    River Hater
(ABS)  Abstract/Over view of Data Base or Model:  Studies conducted to
    field assess the accuracy of laboratory  produced toxiclty data  for
    protecting aquatic life.   Biological responses measured are in
    survival/ growth, and  reproduction to  the added chemical
    pollutants in outdoor    experimental channels.
(CTC)  CONTACTS: Subject matter   John «. Arthur  (612) 295-5145  }
    EPA Office  Norbert A. J
(DTP)  Type of data collection or monitoring: Combination/Other
    Toxicity tests in outdoor experimental  channels.
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances represented in Data Base: 43 air priority
    chemicals ;11 conventional uater ;299 hazardous substances
(NPP)  Eon-pollutant parameters included in the data base: Biological
    data ; Chemical data ;Collection method  /Compliance data /
    Concentration measures ^Discharge points ^Exposure data ;Flou rates
    ; Site description /Temperature
(DS)  Time period covered by data base: 10-01-75 TO 09-30-82
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: daily >as needed
(NOB)  Number of observations in data base:  7500., (Estimated)
(NEI)  Estimated annual increase of observations in data base: (unknown.
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources  covered in data base: 1.
(NCS)  No. stations or sources currently originating/contributing data:
    1,
(NOF)  Number of facilities covered in data base (source monitoring): 1.
(GEO)  Geographic coverage of data base: County/smaller location
    Research Field Station
(LOC)  Data elements identifying location of station or source include:
    State jClty ;ProJect identifier
(FAC)  Data elements identifying facility include: Plant facility nam«s
    jPlant location ;NPDES
(CDE)  Pollutant identification data are: Uncoded
(LlM)  Limitation/variation in data of uhich user should be aware:  Outdo
    or toxicity studies conducted at a research  field station and
    therefore limits geographic coverage*     Number of observations
    relates to number of on site biological   samples taken.
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Samplin
    g plan documented ^Collection method documented /Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision and accuracy estimates exist but are not
    included in data base.
(EDT)  Editting: No known edit procedures


                             789

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                             Accession io»   6407000104     (cent)

CCBY)  Data collected bys EPA lab Environmental Research Lab-Duluth,,
    Montlcello Field  Station
(ABY)  Data analyzed bys  EPA lab Environmental Research Lab-Duluth,
    Monticello Field Station
(IDL)  Laboratory Identification! YES
(ACJT)  authorization for  data collections  Ho statutory requirements
    Data collection requirement is    for  measuring biological
    responses to chemical pollutants in outdoor  experimental channels*
COMB)  Data collected/submit ted using OMB-approved EPA reporting forms S
    QQ
CREP)  Form of available  reports and outputs of data base:  Published
    report on Effects of  Acidification and unpublished     reports on
    pesticide effects inoutdoor experimental channels.
    Printouts on request
    Machine-readable ran  data
CNUS)  Number of regular  users of data base! 1-10 and readers of
    reports
(HSR)  Current regular users of data basei  readers of reports
    EPA laboratories Environmental Research Lab-Duluth
(CNF)  Confidentiality of data and limits  on access! No limits on
    access to data
(DLC)  Primary physical location of datai  EPA lab
(DST)  Form of data storages data reports
(DAC)  Type of data access? Reports summarize*, data^ raw data is
    available
(CH6)  Direct charge for  non-EP& uses Ho
(UPDT)  Frequency of data base master file up-datel Other Hone;
    biological data base  given in research reports.
(CMP)  Completion of foriel
    John 1. Arthur
    OFCs Environmental Research Lab-Duluth* MI 55804
    IDs P.O. Box 500* Monticello^ MM 55362
    PHs (612) 295-5145
CDF)  Date of form completion! 01-28-83
(MMAT)  Number of substances represented in data bases 6
(NCAS)  Number of CAS registry numbers in  data basei 5
(MAT)  Substances represented in data base:
    chlorpyrifos<2921»88«2>             pH
    diazinon<333-41~5>                   sulfurie acid<7664-93-9>
    p-cresol<106-44-5>                  pentachlorophenol<87-86-5>
(CAS)  CAS registry numbers of substances  included in data base; 2921-88
    -2; 333-41-5! 106-44-Sj 7664-93-91     87-86-5
COM)  Contact name(s)! Arthur^JaM*    ;    Jauorsici,N.A<,

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                                       No«  &407Q»jv "i-is

(DQ)  Date of Questionalres 12-02-82
(NAM)  Kane of Data Base of Model! A national Coapendl/ua of freshwater
    Fish and Water Temperature Data
(ACR)  Acronym of Data Base or Models None
(MED)  Media/Subject of Data Base or Model! Surface nater -Streams,
    rivers, lakes, reservoirs
(ABS)  Abstract/Overview of Data Base or Models A computer data base*
    containing historical  fish distribution data with accompanying
    water    temperature data from aboist 1936-1972 for SINS* 380
    species of freshitater fish from 574 locations in the   United
    States was developed,,  This provides the first  nationwide
    compendium that describes freshwater fish   population habitats in
    relation to water temperature   regimes*  the present system
    implemented as a data storage and retrieval method*  Computer
    programs were  designed to format^ sssrt^ store^ aitd recall s
    records or grouping of data,.
(CTC)  CONTACTS! Subject saatter   Kenneth E* Blesinger  (218)727H
    }     Computer-related    Kenneth E» Biesingec (218)727-6692 f
    Office Kenneth E. Siesinger  (216)727-6524
(DTP)  Type of data collection or monitoringi Combination/Other fish
    and Mater temperature records for up to 30 years*,
(STA)  Data Base status; Discontinued
(NPP)  Ron-pollutant parameters included in the data baa-es Biological
    data ^Collection method |Eievatto« >Geograt»iiie subdivision j
    Location ^Physical data ^Political subdivisions jSaffipiiBg date }
    Site description ^Freshwater fishes In United States |Fish and
    temperature measuring instruments |  Data acquisition and retrieval
    /Temperature of water in rivers^ streansy laJc«s and reservoirs<=,
(DS)  Time period covered by data base! 01-01-30 to 12-30-72
(TRM)  Termination of data collections Occurred 12/30/72
(FRQ)  Frequency of data collection or saaplings daily >ueekly |monthly
    ;annually
(NOB)  Number of observations in data bases 2817« (Estisjatad)
(NEI)  Estimated annual increase of observations in data bases (l/i«)
(IHF)  Data base includes! Raw data/observations ^Summary aggregate
    observations ^Reference data/citations
-(NTS)  Total number of stations or sources covered in data bases 574=.
(NCS)  No, stations or sources currently originating/contributing datai
    0.
(NOF)  Number of facilities covered in data base (source monitoring):•0.
(GEO)  Geographic coverage of data base! national
(LOC)  Data elements identifying location of station or source Includes
    State ^County >City ;foun/township iCoordinates latitude and
    longitude }    major and minor basins
(LIH)  Limitation/variation in data of which user should be a^ares .4
    critique of the limitations of the    encoded fish and temperature
    data are given in    Volume I, EPA 660/3/79-056-
(DPR)  Data collect./anal, procedures conform to ORD guidelines! Saraplin
    g plan documented jCollection method documented ^Analysis method
    document
(ANL)  Lab analysis based on EFA-approved or accepted methods? HO
(AUD)_ Lab Audit: Data not based on lab analysis*


                             791

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                             Accession No.   6407000108     (cont)

(PRE)  Precision: Precision and accuracy estimates partially exist*
(EOT)  Editting:  Edit procedures used but undocumented.
(CBY)  Data collected by:  Contractor Plessey Environmental  Systems,
    Inc. ^Universities
(ABY.)  Data analyzed by:  EPA lab Environmental Research
    Laboratory-Duluth
CIDL)  Laboratory Identification: NO
(PR1)  Primary purpose of data collection:  Development of regulations
    or standards
(PR2)  Secondary  purpose  of data collections  Trend assessment
(AUT)  Authorization for  data collection: Statutory authorization  is P
    L 92-500,  as  amended  in the Water Quality Act
(OMB)  Data collected/submitted using QMS-approved EPA reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base:  Publications
    Volume It  Data Management Techniques* Output   Examples and
    Limitations.  EPA 600/3-79-056
    printouts  on  request
    Machine-readable raw  data
(NDS)  Number  of  regular  users of data base: 2 offices
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of  Water Planning and Standards
    SPA laboratories Environmental Research Lab-Duluth
(CNF)  Confidentiality of data and limits on access: Ho  Units on
    access to  data
(DLC)  Primary physical location of data: EPA lab
(DSf)  Form of data storages Magnetic tape
(DAC)  Type of data accesss Data available  on magnetic tapes at
    University of Minnesota
(CHG)  Direct  charge for  non-EPA use: Yes
(UPDT)  Frequency of data base master file  up-date: Other Hone:
    contains data from about 30 years but is not being    updated*
(RD8EPA)  Related EPA data bases used in conjunction with this data  base
    Storet
(RDB)  Non-EPA data bases used in conjunction with this  data base: DSGS
    tapes on temperature
(CMP)  Completion of form:
    Kenneth E. Biesinger
    OFC: Office of Research and Development Environmental Research
    Lab-Duluth
    ADi 6201 Congdon Blvd., Duluth, MN 55804
    PH: (218)727-6524
(DF)  Date of  form completion; 01-28-83
(CNM)  Contact narae(s); Biesinger,K*E*
(RQR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects Rese
                             792

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                             Accession Ho.   6407000109

(DQ)  Date of Questionalre:  12-02-82
(NAM)  Name of Data Base of  Model:  Wisconsin Power  Plant Impact  Study
    Data Center
(ACR)  Acronym of Data Base  or Model:  HPPISDC
(NED)  Media/Subject of Data Base or Model:  Air ;Atmospherlc  deposition
    jDrinking water ;Sffluents cooling lake  ;  Emissions ;Ground water
    ;Runoff ;Soil ;Surface water Wisconsin River
(ABS)  Abstract/Overview of  Data Base or Model: A data  base is
    described for the first  phase of a Wisconsin Power  Plant  Impact
    study.  Data were collected    by investigators fro« 1971 to 1978
    during their study of    the Columbia Generating Station  at
    Portage/ Wisconsin. The  data base presents a vehicle for
    communication between  the defined study and outside users.   A
    brief description   of the data sets are provided.   More  extensive
    documentation     is provided in the EPA Ecological Research
    Series/     descriptive  manuals to be submitted to  the National
    Technical Information Service (NTIS) and as research  briefs.   The
    specific sources of this data are two 500 megawatt  units  on  line
    during 1975-1978.  Western coal with no  scrubbers was used.   Two
    stacks at the plant   were 600 and 750 feet in  height/
    respectively.
(CTC)  CONTACTS: Subject natter   Gordon Chesters/Saya  Shachara   (608)
    ;     Computer-related    Anders Andren/Saya Shachao (608)   ; EPA
    Office  Gary E. Glass (218)  727-6692  (FTS 783-9526)
(DTP)  Type of data collection or monitoring: Point source data
    collection Coal fired Steam Electric Power Plant
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in Data Base: 7 criteria NAAQS
    ;129 307 CtfA ;11 conventional water ;41  CMA potential criteria   21
    drinking water standards /54 TSCA assessment ;15 metals
(NPP)  Non-pollutant parameters included in  the data base: Biological
    data ;Chemical data Collection method ,;Concentration measures ;
    Discharge points ;Disposal ^Health effects ^Location >Physical data
    ; Sampling date ;Site description ^Temperature  ;Test/analysis
    method ;  Volume/mass measures ;Ulnd direction  /iind velocity
(DS)  Time period covered by data base: 07-01-71 TO 09-30-81
(TRM)  Termination of data collection: Anticipated  12/30/83
(FRQ)  Frequency of data collection or sampling: one time only ;less
    than hourly /hourly jdaily ^weekly >monthly ; quarterly /semi
    annually ;annually /as needed
(NOB)  Number of observations in data base:  29700000.(Actual)
(NED  Estimated annual increase of observations in data base: 3500000*
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources covered  In data base: 1 (Ol
    (plant )2(chimneys).)
(NCS)  Ho. stations or sources currently originating/contributing data:
    1.
(NOF)  Number of facilities  covered in data  base (source monitoring): 1<
(GEO)  Geographic coverage of data base: Geographic region Columbia/
    Dane/ and Suak Counties  Wisconsin.
(LOC)  Data elements identifying location of station or source Include:


                             793

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                             Accession No.   6407000109     (cont)

    State ;County ;Congressional district ;Town/township ;ProJect
    identifier
(FAC)  Data elements identifying facility include:  Plant facility  name
    ;Plant location ;Parent corp name ;Parent corp  location ;    Street
    address
(CDE)  Pollutant Identification data are: Uncoded
(LIM)  Limitation/variation in data of which user should be auare:  None
(DPR)  Data collect./anal,  procedures conform to  ORD guidelines: Samplln
    g plan documented ;Collection method documented jAnalysis  method
    document QA procedures  documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit is satisfactory for 95.
(PRE)  Precision: Precision and accuracy estimates  exist for all
    measurements.
(EOT)  Editting: Edit procedures used and documented.
(CBY)  Data collected by: Self reporting Wisconsin  Power and Light,
    Columbia  Generating Station/ Portage/  State  agency Wisconsin
    Department of Natural Resources Contractor lab Dames & Moore/  Inc.
    }   University of Wisconsin-Madison
(ABY)  Data analyzed by: Self reporting Wisconsin Power and Light
    State agency Wisconsin  Department of Natural  Resources
    EPA lab Environmental Research Lab-Duluth, MN>  Industrial
    Environmental Research  Lab-Research Triangle  Park/ NC
    Contractor lab Danes &  Moore/ Inc.
    Other federal agency U.S. Fish & Wildlife Service
    University of Wisconsin-Madison; various departments
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Development of regulations
    or standards
(AUT)  Authorization for data collection: Statutory authorization  is P
    L 92-500 (Clean Hater Act); Section  V-Research Grant
(OMB)  Data collected/submitted using OMB-approved  EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Publications
    "Impacts of Coal-Fired  Power Plants on Local    Groundwater Systems"
    EPA 600/3-80-079; "Element Flow in     Aquatic Systems Surrounding
    Coal-Fired Power Plants" EPA 600/3-80-076?     "Air Pollution
    Studies Near Coal-Fired Power Plants" EPA 600/3-80-048, and 9
    others.  Twenty-six additional reports     are  being prepared.#
    Anders Andren, Marc Anderson/ Nicholas  Loux,  and Robert Talbot.
    1980* Element Flow in Aquatic Systems Surrounding Coal-Fired Power
    Plants.  EPA 600/3-80-076. 84 p.; Charles Andrews and Mary
    Anderson.  1980.    Impacts of Coal-Fired Power Plants on  Local
    Groundwater Systems. EPA 600-3-80-079.   203 p.; Darren Buchanan and
    Frank Scarpace.  1980.  Happing Vegetation Complexes with Digital
    Color Infrared Film.  EPA   600-3-80-054.  60 p.; Michael  John
    Jaeger.  1980.  Predicting Effects of an Electrical Generating
    Station on Wetland Passerine Birds.  EPA  -600/3-80-020.  25 p.;
    Nate Tetrick and Brhard Joeres.  1980.   Water  Constraints in
    Power-Plant Siting and  Operation.  EPA  600/3-80-077.   117 p.; John
    Lech and Mark Me laneon.  1980.  Uptake, Metabolism and
    Disposition of Xenobiotlc Chemicals on  Fish.   EPA 600/3-80-082.


                             794

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                         Accession No.   6407000109     (cont)

141 p.; John Magnuson, Frank Rahel, Michael Talbot, Ann Forbes,  and
Patricia A. Medvick.   1980.   Ecological Studies of Fish Near  a
Coal-  Fired Generating station.   EPA 600/3-80-078.  109 p.;  Elin
Quigley,   Jill Randall, Bruce Murray,  and Alice D'Alesslo.   1980.
Citizen Concern with  Power Plant  Siting.  EPA 600-3/80-004.   110
p.; Kenneth  Ragland, Bradley Goodell,  and ferry Coughlln.   1980.
Air Pollution   Studies Near a Coal-Fired Pouer Plant.   EPA
600/3-80-048«|  Michael   Patrick Shaver and Philip Page. 1980,
Local Land-use and Land  Ownership Patterns Near a Pouer Plant.
EPA 600/3-80-021.  60 p.;     John Magnuson/ Ann Forbes, Dorothy H.
BarrelI/ and Judy D.  Schwarzmeier.   Responses of Stream
Invertebrates to an Ashpit Effluent.  EPA-   600/3-80-081.   150  p.;
Carel DeWinkel.  An Assessment of Mind     Characteristics and Mind
Energy Conversion System for Electric   Utilities.
EPfl-600/53-82-066.  4 p.#   Bruce H. Murray, Donald Kremmel,  Jill
Randall, and Dianne Burgess.    Public  Attitudes toward the  Visual
Impacts of Electric Generating     Stations.  68. p; Kenneth  H.
Ragland and Kenneth E. Uilkening.   Immediate-Range Grid Model for
Atmospheric Sulfur Dioxide and Sulfate  Concentrations and
Depositions.  41. p;   Kenneth E.  Wilkenlng and     Kenneth W.
Ragland.  A User's Guide to the University of Wisconsin
Atmospheric S02/S04 Air Pollution Computer Model (UHATM-SOX).   103
p.;     Barbara Bedford and Qrie  Loucks.  Response of
Carex-Dominated Wetlands     to Altered Temperature and Flooding
Patterns.; Phillip Helrake and     Glenn Hanson.  Impacts of  Coal
Combustion on Trace Elements in the    Environment^- Th«iN*or<8
Tibbitts, Susan Will-Molf, David  Olszyk, and   David Karnowsky*
Impact of Air Pollution on Vegetation Near the Columbia Generating
Station.; Farrokh Albuyeh and James Skiles.  A Simple Method for
Comparative Studies of Transmission-Network  Planning.   159  p.;
Saya Shacham and Hilary McLellan.  Full Documentation   Abstracts
of the Data Base.; Sarah Wynn and Ralph Kiefer.  Aerial
Photography and Ground Verification at  Power Plant Sites.; Charles
Stearns, Leonard Dzamba, and Brent Bowen.  Instrumentation,
Recording,     and Processing of  Meteorological Data Near Portage,
Wisconsin.; David Younkman and Bruce Murray.  Environmental  Impact
Analysis of Transmission  Systems.; Orie Loucks.  An Overview of
Environmental Consequences of  Coal Combustion for Electric  Power
Generation.; James Kitchell, Steve Lozano, and Dennis Rondorf.
Assessment of a Cooling Lake Ecosystem.; Dan Villard, Willard
Jones, and jay Benforado.  Animal Responses in   Wetlands Impacted
by Coal-Fired Generating Stations.; Thomas Smith,   John Jenkins,
John Steinhart, Kathleen Briody,  and David Schoengold*
Transmission Lines; Environmental and Public Policy
Considerations.;  Utilization and Disposal of Fly Ash from Columbia
Generating Station. P. A. Helrake and G. Hanson; Plume Pollutant
injury to Vegetation.  T. Tibbitts; Groundwater Quality Around a
Fly Ash Disposal Basin.  G.    Si in si man, B. Price, A. W. Andren;
The Impact of Ash Basin Effulents   on Fish and Invertebrate
Communities.  J. Magnuson and K.  Webster.;   Intermediate-Range
Model for Atmospheric Sulfur Dioxide and Sulfate   Concentrations
and Depositions.  K.  H. Ragland and K.  E. Wilkening.;  A Study of


                         795

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                             Accession No.   6407000109     (cont)

    Atmospheric Deposition of Sub-micron sized Particles to    Lake
    Hater Surfaces Using PB-210.   R. W. Talbot and A.  Andren.;  A
    Study of the Chemical Composition of Particulate Emissions  from a
    Coal Fired Steam Plant as a Function of Differing  Operating
    Characteristics.  C. Bauer, A. H. Andren, B.  Price,  and N*  Knaebe;
    The Amount and Chemical Nature of Vapors Emitted from a Coal Fired
    Steam Plant.  C. Bauer/ A-  H.  Andren, and B.  Price;  An
    investigation  of the Chemical Compositions of Organic Materials
    Emitted from a Coal-Fired Steam Plant.   C. Bauer,  K. Vernmark,  and
    A. H. Andren;     Hazardous Chemicals in Fish.  J. Lech and M.
    Nelancon.; Human Health  Monitoring.  M. Kanerek and J.
    Quackenboss.ft  Printouts on request
    Machine-readable raw data
    On-line computer

    alkalinity                           benzo(a)anthracene<56-55-3>
    aluminum<7429-90-5>                  benzo(a)pyrene<50-32-8>
    ammonia<7664-41-7>                   benzo(g,!i,i)perylene<191~24-2>
    anthracene<120-12-7>                 berylllua<7440-41-7>
    antimony<7440-36-0>                  boron compounds<7440-42-8>
    arsenic<7440-38-2>                   cadmlun<7440-43-9>
    asbestos<1332-21-4>                  calcium hydroxide<1305-62-0>
    barium 140<14798-08-4>               carbon 14<14762-75-5>


                             796

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                             Accession No.   6407000109     (cont)

    chloroform<67-66-3>                  oil and grease
    chromium<7440-47-3>                  oxygen demand
    chrysene<218-01-9>                   ozone<10028-15-6>
    cobalt<7440-48-4>                    pH
    copper<7440-50-8>                    phenanthrene<85-01-8>
    cyanide<57-12-5>                     phenol<108-95-2>
    dibenzo(a/h)anthracene<53-70-3>      phosphorus and compounds
    dissolved oxygen                        <7723-14-0>
    dissolved solids                     phasphoriss<7723-14-0>
    ferrous sulfate<7720-78»7>           polychlorinated biphenyls (PCBs)
    fluoranthene<206-44-0>               potassium<7440-09-7>
    fluorides                            pyrene<129-00-0>
    hexachlorobenzene<118-74-l>          selenium<7782-49-2>
    hydrocarbons                         silver<7440-22-4>
    iron and compounds<7439-89-6>        sodiura<7440-23-5>
    iron<7439-89-6>                      sulfates
    lead<7439-92-l>                      sulfides
    manganese<7439-96-5>                  sulfur dIoxide<7446-09-5>
    mercury<7439-97-6>                   suspended solids
    molybdenum and compounds             thalliutn<7440-28-0>
       <7439-98-7>                       titanium<7440-32-6>
    naphthalene<9l-20-3>                  total suspended particulates
    nickel<7440-02-0>                    uraniuni<7440-61-l>
    nitrate<14797-55-8>                  vanadium<7440-62-2>
    nitrogen dioxide<10102-44-0>         zinc<7440«66-6>
(CAS)  CAS registry numbers of substances included in data base:  7429-90
    -5; 7664-41-7; 120-12-7; 7440-36-0;    7440-38-2; 1332-21-4;
    14798-08-4; 7440-39-3; 56-55-3; 50-32-8;   191-24-2; 7440-41-7;
    7440-42-8; 7440-43-9;  1305-62-0; 14762-75-5;     67-66-3?
    7440-47-3; 218-01-9;  7440-48-4; 7440-50-8; 57-12-5; 53-70-3;
    7720-78-7; 206-44-0;  118-74-1; 7439-89-6; 7439-89-6; 7439-92-1;
    7439-96-5; 7439-97-6;  7439-98-7; 91-20-3; 7440-02-0; 14797-55-8;
    10102-44-0; 10028-15-6; 85-01-8; 108-95-2; 7723-14-0; 7723-14-0;
    7440-09-7; 129-00-0;  7782-49-2; 7440-22-4; 7440-23-5; 7446-09-5;
    7440-28-0; 7440-32-6;  7440-61-1; 7440-62-2; 7440-66-6
(CNM)  Contact name(s): Chesters,G.    ;    Andren^A. ;    Glass,G.E.
(ROR)  Responsible Organization: Office of  Research and
    Development*Office of Environmental Processes and Effects Rese
                             797

-------
                             Accession Mo,   6407000110

(DQ)  Date of Questionaire:  12-02-82
(NAM)  lame of Data Base of  Model: Information System for  Hazardous
    Qrganics In Water
(ACR)  Acronym of Data Base  or Model:  ISHOW
(MED)  Media/Subject of Data Base or Models  Mo specific media-no
    monitoring data collected.  Data Is  collected from literat
(ABS)  Abstract/Overview of  Data Base  or Model:  The ISHOW  Data Base is
    an interactive computerized     management system for  physical  and
    chemical property data and    aquatic toxicity data ®n organic
    chemicals.  It was developed for     the purposes ofs  11}
    establishing an interactive computerized    catalog of chemical and
    aquatic toxicity data on organic chemicals    in the Great Lakes
    Watershed; (2) providing a means to systema   tically  evaluate
    which data elements are  either unavailable or   unreliable; and,
    (3) providing a readily  accessible data base    for
    structure-activity correlation studies and environmental     hazard
    assessment*
(CTC)  COiTACTSs Subject matter  Dr. Oilman D. Yeitfa (218) 727-6692 Ex.
    534 ;     Conputer-relat
(DTP)  Type of data collection or monitoring: Other data collection
    from literature.
(SfA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in Data Bases 43 air priority
    cheraicals j!29 307 CHA ;11 conventional water ;   21 drinking water
    standards ;9 potential drinking water ;29 drinking Hater monitoring
    ;   299 hazardous substances ;48 cancelled pesticides  ;9 monitoring
    pesticides
(NPP)  Non~pollutant parameters included in the data bases Biological
    data-aquatic toxicity ;Cheraical data ^Location |Manufacturer  y
    Physical data production levels ;Test/analysis method
(DS)  Time period covered by data base: 01-01-65 fO 10-31-81
(TRM)  Termination of data collections Not anticipated 1/83
(FRQ)  Frequency of data collection or samplings monthly
(NOB)  Number of observations in data  base: greater than
    14000(Estiinated)
(NEI)  Estimated annual increase of observations in data base: (N/A)
(IMF)  Data base includes: Summary or  aggregate observations ^Reference
    data/citations
(NTS)  Total number of stations or sources covered in data base:  (N/A)
(NCS)  No. stations or sources currently originating/contributing data:
    (N/A)
(MOF)  Huraber of facilities  covered in data base (source monitoring): (N
    /A)
(GEO)  Geographic coverage of data base: International
(LOG)  Data elements identifying location of station or source include:
    K/A
(FAC)  Data elements identifying facility include: N/A
(CDE)  pollutant Identification data are: CAS registry number
(ANL)  Lab analysis based on EPA-approved or accepted methods? NO
(AUD)  Lab Audit: Lab audit is not based on lab analysis
(PRE)  Precision: Precision and accuracy estimates exist but are  not
    included in data base


                             798

-------
                             Accession Mo.   6407000110     (cent)

(EDT)  Edlttings  Edit procedures used but undocumented
(CBY)  Data collected bys  EPA labHERL-Duiuth jContractor- University 01
    Minnesota^  Duluth
(&BY)  Data analyzed by;  Other-data isn^t analyzed since it's collected
    from literature citings.
(IDL)  Laboratory identifications  YES
(AUT)  Authorization for  data collection! Fo statutory requirements
    Data collection is from literature citations^
(OMB)  Data coll acted/submitted using OHB-appcoved EPA reporting forms!
    QQ
(REP)  Forra of  available  reports and outputs of data bas«: • Unpublished
    reports-ISHQM Manual
    Printouts on  request
(NDS)  Number of  regular  users of data bases 100   Responsible Organizations Office of Research and
    Development^Office of Environmental Processes and Effects
                             799

-------
                             Accession No.   6407000111

(DQ)  Date of Questionairei  12-02-82
(NAM)  Bame of Data Base of  Model:  Aquatic  Information  Retrieval
(ACR)  Acronym of Data Base  or Model:  AQUIRE
(MED)  Media/Subject of Data Base or Model:  Aquatic toxicity
    information obtained from literature reviews
(ABS)  Abstract/Overview of  Data Base or Model:  AQUIRE  contains
    information on the toxicity of  any     chemical (except oils)  to
    fresh and saltwater organisms (not     including bacteria and
    amphibians)*   Acute, chronic, and bio     accumulation effects are
    included,,  Published papers and final   reports are reviewed and
    Information on test conditions  and results are entered into the
    data base.
(CTC)  CONTACTS:  Subject matter Dr. Rosemarie C.  Russo, Research
    Director   ;    Computer-   related Dr.  Stephen J. Lozano (218)
    727-6692 EX.  568;  EPA Office Dr. Rosemarie C. Russ, ERL-Duluth,  MM
    (218) 727-6692  Ex, 572
(DTP)  Type of data collection or monitoring: Combination/Other data
    collection -  reviews of  papers  on  aquatic toxicity
(STA)  Data Base  status: Operational/ongoing
(GRP)  Groups of  substances  represented in  Data Base: 43 air priority
    chemicals ;5  NESHAPS ;3  HID CAA ;129 307 CHA ;  11 conventional
    water ;41 CHA potential  criteria ;21 drinking water standards  ; 9
    potential drinking water ;29 drinking water monitoring ;299
    hazardous substances ; 48 cancelled pesticides ;9 monitoring
    pesticides j54 TSCA assessment  }     16 Pre-RPAR }15 metals
(NPP)  Non-pollutant parameters Included in the data base: Biological
    data ^Chemical data ^Collection method  /Concentration measures }
    Exposure data ^Salinity  ^Temperature ;Test/analysis method
    ^Other-quality code
CDS)  Time period covered by data base: 01-01-70 TO 10-31-81
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency  of data collection or sampling: daily
(NOB)  Number of  observations in data base:  34,000(Actual)
(NEI)  Estimated  annual increase of observations in database: 12000
(INF)  Data base  includes: Summary  or aggregate observations ;Reference
    data/citations
(NTS)  Total number of stations or  sources  covered in data base: 2000
(NCS)  Ho0 stations or sources currently originating/contributing  data:
    H/A
(NOF)  Humber of  facilities  covered in data base (source monitoring): (M
    /A)
(GEO)  Geographic coverage of data  base: International
(LOC)  Data elements identifying location of station or source include:
    Other-bibliographic citation
(FAC)  Data elements identifying facility include: OTHER-M/A
(CDE)  Pollutant  identification data are: CAS registry  number
(LIM)  Limitation/variation  in data of which user should be aware: Only
    published data are entered.
(CBY)  Data collected by: EPA lab-Environmental Research Lab-Duluth,  MM
    jCoi5tractor Tracer Jitco* Inc.
(ABV)  Data analyzed by: EPA lab Environmental Research Lab-Duluth/ MN
          of Wisconsin- Superior,  HI and College of St. Scholastics,


                             800

-------
                             Accession Mo.  6407000111
                  (cont)
    Duluth, MN
(IDL)  Laboratory identification: YES
(AUT)  Authorization for data collection:  Mo statutory requirement:
    Data collection requirement is from     literature citations.
(OMB)  Data collected/submitted using QMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Printouts on
    request
(OSR)  Current regular users of data base: EPA laboratories-ERL,
    Duluth, HH, EPA-DfS-SPHERE
(CNF)  Confidentiality of data and limits  on access: No limits on
    access to data
(DLC)  Primary physical location of data:  EPA lab
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software:  IAS ;EPA hardware POP 1170
(CHG)  Direct charge for non-EPA use: No outside use permitted.
(UPOT)  Frequency of data base master file up-date; Qther-Daily/hourly
(RSS)  Related EPA automated systems which use data base: SPHERE
(RDBEPA)  Related EPA data bases used in conjunction with this data  base
    SPHERE
(RDB)  Non-EPA data bases used in conjunction with this data base:  ISHQW
    t University of Minnesota-Duluth
(CMP)  Completion of form:
    Dr. Rosemarie C. Russo
    OFC: EPA/ERL-Duluth/Research Operations
    AD: 6201 Congdon Boulevard, Duluth, MM  55804
    PH: (218) 727-6692 Ex. 572
(DF)  Date of form completion: 01-25-83
(NHAT)  Number of substances represented in data base: 2000
(NCAS)  Number of CAS registry numbers in  data base: 1950
(MAT)  Substances represented in data base:
    1,1,1,2-tetrachloroethane<63
       0-20-6>
    if l,l-trichloroethane<71-55-6>
    \f1,2,2,-tetrachloroe thane
       <79-34-5>
    1, l,2-trichloroethane<79-00-5>
    l,l-dichloroethane<75-34-3>
    l,l-dichloroethylene<75-35-4>
    l,2,4,-trichlorobenzene<120-82-l>
    l,2~dibroraoethane<106-93-4>
    l/2-dichlorobenzene<95-50-l>
    l/2-dichloroethane<107-06-2>
    I, 2-dichloropropane<78-87-5>
    l,2-dichloropropylene<563-54-2>
    l,2-diphenylhydrazine<122-66-7>
    1, 2-trans-dichloroethylene
       <156-60-5>
    l/3,4-trichlorobenzene<120-82-l>
    l,3-dichiorobenzene<541-73-l>
    1^4-dichlorobenzene<106-46-7>
2,2-dichloropropionic acid
   <75-99-0>
2,4^5-t amines
2,4,5-t esters
2,4,5-t salts
2,4,5-tp acid esters
2,4,5-trichlorophenol (TCP)
   <95-95-4>
2,4,5-trichlorophenoxyacetlc acid
   (T)<93-76-5>
2/4/5-trichlorophenoxypropionic
   acid (TPX93-72-l>
2^4/6-trichlorophenol<88-06-2>
2,4,7,8-tetrachlorodibenzo-p-
   dioxin (tcdd)
2,4-d acid<94-75-7>
2/4-d esters
2,4-dichlorophenol<120-83-2>
2,4-dimethylphenol<105-67-9>
2/4-dinitrophenol<51-28-5>
2,4-dinitrotoluene<121-14-2>
                             801

-------
                         Accession No.  6407000111
                  (cont)
2,6-dlnitrotoluene<606-2Q-2>
2-chloroethylvlnyl ether<110-75-8>
2-chloronaphthalene<91-58-7>
2-cblorophenol<95-57-8>
2-fluoroacetamide (1081)<640-19-7>
2-nitrophenol<88-75-5>
2-nitropropane<79-46-9>
3,3*-dichlorobenzidine<91-94-l>
3,4-benzofluoranthene<205-99-2>
4/4*-ddd(p,p'tde)<72-54-8>
4,4'-dde(p,p--ddx<72-5S-9>
4,4'-ddt<50-29-3>
4,6-dinitro-o-cresoK534-S2-l>
4-broraophenyl phenyl ether
   <101-55-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
DBCP (l/2-dibrorao-3-chloropropane)
   <96-12-8>
EBDC's (ethylenebisdithlocarbamate
   s)
EPN (ethyl p-nitrophenyl thionoben
   zenephosonate)<2104-64-5>
OHPA (octamethylpyrophosphoramide)
   <152- PCNB(pentachloronltroben2
   ene)<82-68-8>
S/S/S-tributyl phosphorotrithioate
   <78-48-8>
acenaphthene<83-32-9>
acenaphthy lene< 20 8-96- 8>
acetaldehyde<75-07-0>
acetic acid<64-19-7>
acetic anhydride<108-24-7>
acetone cyanohydrin<75-86-5>
acetone<67-64-l>
acetyl broroide<506-96-7>
acetyl chloride<75-36-5>
acidity
acrolein<107-02-8>
acrylonitrile<107-13-l>
adlpic acid<124-04-9>
alachlor<15972-60-8>
aldrin<309-00-2>
alkalinity
allyl alcohol<107-18-6>
allyl chlorlde<107-05-l>
aluminum and compounds<7429-90-5>
aluminum sulfate
araltraz (Baara)<33089-61-l>
aramonia<7664-41-7>
amiBoniura acetate<631-61-8>
amraonlura benzoate<1863-63-4>
ammonium bicarbonate<1066-33-7>
ammonium bichromate<7789-09-5>
araraoniura bif luoride<1341-49-7>
ammonium bisulfite<10192-30-0>
aiDiaonlum carbamate
ammonium carbonate<506-87-6>
araraonlum chloride<12125-02-9>
araraoniura chromate<7788-98-9>
ammonium citrate<7632-50-0>
ammonium f luoborate<13826-83-0>
ammonium f luoride<12125-01-8>
amnonluffl hydroxlde<1336-21-6>
araaonium oxalate<1113-38-8>
ammonium silicofluoride
   <16919-19-0>
ammonium sulfaaate<7773-06-0>
ammonium sulf ide< 12135-76-l>
aaaonium sulf ite<10196-04-0>
ammonium tartrate<3164-29-2>
ammonium thlocyanate<1762-95-4>
ammonium thiosulf ate<7783-18-8>
arayl acetate<628-63-7>
anillne<62-53-3>
anthracene<120-12-7>
antimony pentachlor ide< 7647-18-9>
antimony potassium tartrate
antimony tribroraide<7789-61-9>
antimony trichloride<10025-91-9>
antimony trifluoride<7783-56-4>
antimony trioxide<1309-64-4>
antiraony<7440-36-0>
aramite<140-57-8>
arsenic dlsulf ide<1303-32-8>
arsenic pentoxide<1303-28-2>
arsenic trichloride<7784-34-l>
arsenic trioxide<1327-53-3>
arsenic trisulfide<1303-33-9>
arsenic<7440-38-2>
asbestos<1332-21-4>
atrazine<1912-24-9>
banvel-D<1918-00-9>
barium and compounds<7440-39-3>
barium cyanide<542-62-l>
benefin<1861-40-l>
benomyl<17804-35-2>
benzac<50-3l-7>
benzene<71-43-2>
benzidine<92-87-5>
benzo(a)anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
                         802

-------
                         Accession No.  6407000111
                  (cont)
benzo(g,h, i)perylene<191-24-2>
benzo(k)fluoranthene<207-08-9>
benzole acid<65-85-0>
benzonitrile<100-47-0>
benzoyl chloride<98-88-4>
benzyl chloride<100-44-7>
beryllium chloride<7787-47-5>
beryllium fluoride<7787-49-7>
beryllium nitrate<13597-99-4>
berylliura<7440-41-7>
bhc (lindane)~ganraa<58-89-9>
bhc-alpha<319~84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
biphenyl<92-52-4>
bis(2-chloroethoxy)me thane
bis(2-chloroethyl)ether
bis(2-chloroisopropyl) ether
   <39638-32-9>
bls(2-ethylhexyl)phthalate
bis(chloromethyl)ether<542-88-l>
bismuth and compounds<7440-69-9>
boron and compounds<7440-42-8>
bromine<7726-95-6>
broBiobenzene<108-86-l>
bronochlorobenzene<28906-38-9>
brooodichloromethane<75-27-4>
broroomethane<74-83-9>
butachlor<23184-66-9>
butyl acetate<123-86-4>
butyl benzyl phthalate<85-68-7>
butylamine<109-73-9>
butyric acid
cacodylic acid and salts<75-60-5>
cadmium acetate<543-90-8>
cadnium bromide<7789-42-6>
cadmium chloride
cadmium<7440-43-9>
calcium arsenate<7778-44-l>
calcium arsenite<52740-16-6>
calcium carbide<75-20-7>
calcium chromate<13765-19-0>
calcium cyanide<592-01-8>
calcium dodecylbenzenesulfonate
   <26264-06-2>
calcium hydroxide<1305-62-0>
calcium hypochlorite<7778-54-3>
calcium oxide<1305-78-8>
captan<133-06-2>
carbaryl<63-25-2>
carbofuran<1563-66-2>
carbon disulfide<75-15-0>
carbon tetrachloride<56-23-5>
chloranil<118-75-2>
chlordane< 57-7 4-9>
chlorinated naphthalenes
chlorine<7782-50-5>
chlocobenzene<108-90-7>
chlorobenzilate<510-15-6>
chlorodibromomethane<124-48-l>
chloroethane<75-00-3>
chlorofluorocarbons
chloroform<67*66-3>
chloromethane<74-87-3>
chloroprene<126-99-8>
chlorosulfonic acid<7790-94-5>
chlorpyrifos<2921-88-2>
chromic acetate<1066-30-4>
chromic acid<7738-94-5>
chromic sulfate<10101-53-8>
chromium and corapounds<7440-47-3>
chromium<7440-47-3>
chromous chloride<10049-05-5>
chrysene<218-01-9>
cis-l/2-dichloroethylene<156-59-2>
coal tar<8007-45-2>
cobalt<7440-48-4>
cobaltous bromide<7789-43>7>
cobaltous formate<544-18-3>
cobaltous sulfawate<14017-41-5>
copper<7440-50-8>
coumaphos<56-72-4>
creosote<8021-39-4>
cresol<1319-77-3>
crotonaldehyde<4170-30-3>
cuprlc acetate<142-71-2>
cupric acetoarsenite<12002-03-8>
cupric chloride<7447-39-4>
cuprlc nltrate<3251-23-8>
cupric oxalate<814-91-5>
cupric sultate ammoniated
   <10380-29-7>
cupric sulfate<7758-98-7>
cupric tartrate<815-82-7>
cyanazine<21725-46-2>
cyanide<57-12-5>
cyanogen chloride<506-77-4>
cyclohexane<110-82-7>
ddd (tde)<72-54-8>
ddt<50-29-3>
deraeton<8065-48-3>
di-n-butyl phthalate<84-74-2>
                         803

-------
                         Accession No.  6407000111
                  (cont)
di-n-octyl phthaiate
dialkyl ethers
dialkyl phosphates
diallate<230 3-16-4>
diazinon<333-41-5>
dibenzo(a,h)anthracene<53-70-3>
dibenzofuran<132-64-9>
dibutylphthalate<84-74-2>
die amba< 191 8-00- 9>
dichlobenil<1194-65-6>
dichlone<117-80-6>
dichlorobenzene< 25321-22-6 >
dichlorobromoraethane<75-27-4>
dichlorodifluoroniethane<75-71-8>
dichloroiodomethane<594-04-7>
dichlororaethane<75-0 9-2>
dlchloropropane<78-87-5>
dichloropropene-dichloropropane
   Hsixture<6003-19-8>
dIchloropropene<542-75-6>
dichlorvos<62-73-7>
dieldrin<60-57-l>
die thy 1 phthalate<84-66-2>
diethylamine<109-89-7>
dimethoate<60-51-5>
dimethyl nitrosaraine<62-75-9>
dimethyl phthalate<131-ll-3>
dimethylamine<124-40-3>
dinitrobenzene<25154-54-5>
dinitrophenol
dinitrotoluene<25321-14-6>
dioxane
dioxin<828-00-2>
diphenyl ether<101-84-8>
diphenylhydrazine<38622-18-3>
diquat<2764-72-9>
dissolved oxygen
disulfoton<298-04-4>
diuron<330-54-l>
dodecylbenzenesulfonic acid
edta<60-00-4>
endosulfan sulfate<1031-07-8>
eridosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endosulfan<115-29-7>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
epichlorohydrin<106-89-8>
erbon<136-25-4>
ethion<563-12-2>
ethylbenzene<100-41-4>
ethylchloride<75-00-3>
ethylene dibromide
ethylene dichloride<107-06-2>
ethylene oxide<75-21-8>
ethylenediamine<107-15-3>
ethylparathion<56-38-2>
ferric ammonium citrate<1185-57-5>
ferric aomoniura oxalate
   <14221-47-7>
ferric chloride<7705-08-0>
ferric fluoride<7783-50-8>
ferric nitrate<10421-48-4>
ferric sulfate<10028-22-5>
ferrous ammonium sulfate
   <10045-89-3>
ferrous chloride<7758-94-3>
ferrous sulfate<7720-78-7>
fluoranthene<206-44-0>
fluorene<86-73-7>
fluorides
fomsaldehyde<50-00-0>
formic acid<64-18-6>
furaarlc acid<110-17*8>
furfural<98-01-l>
guthion<86-50-0>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
hexachlorobutadiene<87-68-3>
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
hydrochloric acid<7647-01-0>
hydrofluoric acid<7664-39-3>
hydrogen cyanide<74-90-8>
hydrogen sulfide<7783-06-4>
indeno (l,2,3-cd)pyrene<193-39-5>
iron and co»pounds<7439-89-6>
isophorone<78-59-l>
isoprene<78-79-5>
isopropanolamine dodecylbenzene
   sulfonate<54590-52-2>
kelthane<115-32-2>
kepone<143-50-0>
lead acetate<301-04-2>
lead arsenate<3687-31-8>
lead chloride<7758-95-4>
lead fluorborate<13814-96-5>
lead fluoride<7783-46-2>
lead iodide<10101-63-0>
lead nitrate<10099-74-8>
lead stearate<1072-35-l>
lead sulfate<7446-14-2>
                         804

-------
                         Accession No.  6407000111
                  Ccont)
lead sulfide<1314-87-0>
lead thiocyanate<592-87-0>
lead<7439-92-l>
lindane<58-89-9>
lithium and compounds<7439-93-2>
lithium chromate<14307-35-8>
m-cresol
m-xylene<108-38-3>
malathion<121-75-5>
raaleic acid<110-16-7>
roaleic anhydrlde<108-31-6>
raaleic hydrazide<123-33-l>
manganese and compounds<7439-96-5>
raercaptodimethur<2032-65-7>
aercuric cyanlde<592-04-l>
mercuric nitrate<10045-94-0>
aercuric sulfate<7783-35-9>
mercuric thiocyanate<592-85-8>
mercurous nitrate<104l5-75-5>
mercury<7439-97-6>
me t hanea r s on at es
methoxychlor<72-43-5>
methyl chloroform<71-55-6>
methyl iodide<74-88-4>
methyl mercaptan<74-93-l>
methyl raethacrylate<80-62-6>
methyl parathion<298-00-0>
methylethyl ketone<78-93-3>
raevinphos<7786-34-7>
»exacarbate<315-l8-4>
mirex<2385-85-5>
molybdenum and compounds
   <7439-98-7>
monochlorobenzene<10 8-90-7>
monoethylam!ne<75-04-7>
monomethylamine<74-89-5>
monuron<150-68-5>
n-alkanes (clO-c30)
n-butyl phthalate<84-74-2>
n-nitrosodi-n-propylaaine
   <621-64-7>
n-nitrosodiethylaraine<55-18-5>
n-nitrosodimethylamine<62~75-9>
n-nltrosodiphenylamine<86-30-6>
naled<300-76-5>
naphthalene<9l-20-3>
naphthenic acid<1338-24-5>
nickel ammonium sulfate<7785-20-8>
nickel chloride<7718-54-9>
nickel hydroxide<12054-48-7>
nickel nitrate<13138-45-9>
nickel sulfate<7786-81-4>
nickel<7440-02-0>
nitralin<4726-14-l>
nitrate
nitrates/nitrites
nitric aeid<7697-37-2>
nitriloacetates
nitrobenzene<98-95-3>
nitrogen and compounds<7727-37-9>
nitrogen dioxide<10102-44-0>
nitrophenol<25154-55-6>
nitrosoraethylurea<684-93-5>
nitrosomorpholine<59-89-2>
nltrotoluene
o-cresol<95-48-7>
o-aethoxyphenol<90-05-l>
o-x y 1 en e< 9 5- 47-6>
oxygen demand
p-chloro-ffi-cresol<59-50-7>
p-cresol<106-44-5>
p-dichlorobenzene< 106-46- 7>
p-xylene<106-42-3>
PH
paraformaldehyde<30525-89-4>
par aqua t<4685~14-7>
parathion<56-38-2>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097~69-1>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachloroph€nol<87-86-5>
perchloroethylene<127-18-4>
perthane<72-56°0>
phenanthrene<85-01- 8>
phenarsaaine chloride<578-94-9>
phenol<108-95-2>
phenylacetic acid<103-82-2>
phorate<298-02-2>
phosphoric acid<7664-38-2>
phosphorus oxychloride<10025-87-3>
phosphorus pentasulfide<1314-8Q-3>
phosphorus trichlorid@<7719-12-2>
                         80S

-------
                         Accession No«  6407000111
                  Ccont)
phosphorus <7723-l4-0>
phthalic acid«88-99~3>
piperoisyl butoxide<51-03-6>
polybroelnated biphenyls CPBBs)
polychlorinatea biphenyls (PCBs)
   <1336-36-3>
potassium arsenite<10124-50-2>
potassium bichroiaate<7778--50-9>
potassium chromate<7789-00-6>
potassium cyanide<151~S0~8>
potassium hydroxide<13lO-58-3>
potassium periBanganate<7722~64-7>
po tass ium- ar sena te<77 8 4- 41 -0>
pronamide
pr opachior
propanil<709-98»8>
propargit«<2312»35~8>
propionic aeld<79-09~4>
propionic anhydride<123-62-6>
propoxur<114-26-l>
propylene ®xi§>
pyrene<129-00*0>
quinoline<91-22-5>
radium 226<13982~63-3>
radium 228<15262-20-1>
resorcinol<108-46-3>
ronneI<299~84-3>
rotenone<83-79-4>
safrole<94-59-7>
secondary amines
selenium oxide<12640-89-0>
       nitcate<7761-88*8>
silver<7440-»22»4>
silv«x<93-72«l> •
siiaazine<122»34-9>
sodium arsenate<7631-89-2>
sodiura arsenite<7784-46-5>
sodiuffl bichromate<10588-01-9>
sodiun biflu©ride<1333-83~l>
sddium bisulfite
sodium chronate<7775-ll-3>
sodium cyanide<143-33-9>
sodiura dodecylbenzenesulfonaf@
   <25155-30-0>
sodium f luoroacetate
   <62-74-8>
sodium hydrosnlfid«< 16721
sodium hydroxlde<1310-73-2>
sodium hypochlor.ite<7681-52-9>
sodium miethylate<124-41~4>
sodluiB nitrite<7632-00-0>
sodium phosphate^ dibasic
   <7558-79-4>
sodium phosphate^ tribasic
sodium seIenite<10102»18-8>
sodiun<7440-23-5>
stobane<8001-SO-I>
strontiuis chroaiate<7789-06-2>
strychine<57-24-9>
sul fates
sulf ides
sulfur raonochl©ride<10025»67-9>
sulfuric acid<7664-93»9>
tde<72-54-8>
terpenes
tetracliloroethylene<127«18-4>
tetraethyl lead<78-00-2>
tetraethyl pyrophosphate<107-49~3>
thallium sulfate<7446-18-6>
thalliura<7440«28»'0>
thlophanate nethyl<23564-05-8>
toluene <108-88-3>
total reduced
trichlorfon<52-68-6>
trichl@roethane< 25323-89- 1>
trichloroethyl@ne<79«-01-6>
trichlorof liioro»ethane<75»69-4>
triethanolamin® dodecylbenzenesulf
   onate<27323«41-7>
trie thy lamine<121-44-8>
trlflur aline Ctref lan)<1582-09-8>
trimethyIaiaine<75~50-3>
trysben<50~31-7>
uranfl
uranyl nitrate<10102-06-4>
vanadium<7440-62-2>
¥anadyl sulfate«27774-13-6>
vinyl ac€tate<108-05«-4>
¥issyl chloride<75-01»4>
¥i:nflideim chlorlde<75-35-4>
xylene<1330-20-7>

-------
                             Accession Mo.   6407000111     Ceont)

    zinc aeetate<557~34-6>               zinc phenol sulfonate<127-82-2>
    zinc ammonium chloride               zinc phosphide<1314-84-7>
    zinc borate<1332-07-6>               zinc silicofluoride<16871-71-9>
    zinc bromide<7699-45-8>              zinc sulfate<7733-02-0>
    zinc carbonate<3486-35-9>            zinc<7440-66-6>
    zinc chloride<7646-85-7>             zirconium nttrate<13746-89-9>
    zinc cyanide<5S7-21-l>               zirconiu® potassium fluoride
    zine fluorlde<7783-49-5>                <16923-95-8>
    zinc forraate<557-41-5>               zirconiui sulfate<14644-61-2>
    zinc hydrosu!£ite<7779-86-4>         zirconiua tetrachlorlde
    zinc nitrate<7779-88-6>                 <10026-ll-6>
(CAS)  CAS registry numbers of substances included in data bases 630-20-
    6? 71-55-6; 79-34-5? 79-00-5? 75-34-3;       75-35-4; 120-82-1;
    106-93-4; 95-50-1; 107-06-2; 78-87-5? 563-54-2;    122-66-7;
    156-60-5; 120-82-1; 541-73-1; 106-46-7; 75-99-0; 95-95-4;
    93-76-5; 93-72-1; 88-06-2; 94-75-7; 120-83-2; 105-67-9; 51^28-5?
    121-14-2; 606-20-2; 110-75-8; 91-58-7;  95-57-8; 640-19-7; 88-75-5;
    79-46-9; 91-94-1; 205-99-2; 72-54-8; 72-55-9; 50-29-3; 534-52-1;
    101-55-3* 7005-72-3; 100-02-7; 96-12-8; 2104-64-5; 78-48-8;
    83-32-9;       208-96-8; 75-07-0; 64-19-7; 108-24-7; 75-86-5;
    67^-64-1; 506-96-7;     75-36-5; 107-02-8; 107-13-1; 124-04-9;
    15972-60-8; 309-00-2;     107-18-6? 107-05-1; 7429-90-5;
    10043-01-3; 33089-61-1; 7664-41-7;     631-61-8; 1863-63-4;
    1066-33-7; 7789-09-5? 1341-49-7; 10192-30-0;     1111-78-0;
    506-87-6; 12125-02-9; 7788-98-9; 7632-50-0? 13826-83-0;
    12125-01-8; 1336-21-6; 1113-38-8; 16919-19-0; 7773-06-0;
    12135-76-1;       10196-04-0; 3164-29-2; 1762-95-4; 7783-18-8;
    628-63-7; 62-53-3;       120-12-7; 7647-18-9; 11071-15-1;
    7789-61-9? 10025-91-9; 7783-56-4;    1309-64-4; 7440-36-0;
    140-57-8; 1303-32-8? 1303-28-2; 7784-34-1;      1327-53-3;
    1303-33-9; 7440-38-2? 1332-21-4; 1912-24-9? 1918-00-9?
    7440-39-3; 542-62-1; 1861-40-1; 17804-35-2? 50-31-7; 71-43-2;
    92-87-5? 56-55-3? 50-32-8? 191-24-2? 207-08-9; 65-85-0; 100-47-0?
    98-88-4? 100-44-7; 7787-47-5? 7787-49-7? 13597^99-4? 7440-41-7?
    58-89-9; 319-84-6? 319-85-7; 319-86-8;  92-52-4? 111-91-1? 111-44-4;
    39638-32-9? 117-81-7; 542-88-1? 7440-69-9? 7440-42-8? 7726-95-6?
    108-86-1? 28906-38-9? 75-27-4; 74-83-9; 23184-66-9; 123-86-4;
    85-68-7? 109-73-9? 107-92-6? 75-60-5? 543-90-8? 7789-42-6?
    7440-43-9?      7778-44-1? 52740-16-6;  75-20-7; 13765-19-0;
    592-01-8? 26264-06-2?     1305-62-0? 7778-54-3? 1305-78-8?
    133-06-2; 63-25-2? 1563-66-2?   75-15-0? 56-23-5? 118-75-2?
    57-74-9? 7782-50-5; 108-90-7; 510-15-6;   124-48-1; 75-00-3;
    67-66-3? 74-87-3? 126-99-8? 7790-94-5?  2921-88-2?       1066-30-4?
    7738-94-5? 10101-53-8? 7440-47-3? 7440-47-3? 10049-05-5?
    218-01-9; 156-59-2; 8007-45-2; 7440-48-4; 7789-43-7; 544-18-3;
    14017-41-5; 7440-50-8; 56-72-4; 8021-39-4; 1319-77-3; 4170-30-3?
    142-71-2; 12002-03-8; 7447-39-4; 3251-23-8; 814-91-5; 10380-29-7?
    7758-98-7; 815-82-7; 21725-46-2; 57-12-5? 506-77-4? 110-82-7?
    72-54-8? 50-29-3? 8065-48-3; 84-74-2; 117-84-0; 2303-16-4?
    333-41-5?       53-70-3? 132-64-9? 84-74-2? 1918-00-9? 1194-65-6?
    117-80-6?      25321-22-6? 75-27-4? 75-71-8; 594-04-7; 75-09-2?
    78-87-5? 8003-19-8?       542-75-6? 62-73-7? 60-57-1; 84-66-2?


                             807

-------
                             Accession No.  6407000111     (cont)

    109-89-7; 60-51-5; 62-75-9;      131-11-3; 124-40-3* 25154-54-5*
    25321-14-6; 123-91-1? 828-00-2;       101-84-8; 38622-18-3;
    2764-72-9; 298-04-4? 330-54-1? 27176-87-0?      60-00-4? 1031-07-8?
    959-98-8? 33213-65-9? 115-29-7? 7421-93-4?   72-20-8? 106-89-8?
    136-25-4; 563-12-2? 100-41-4? 75-00-3? 106-93-4?   107-06-2?
    75-21-8? 107-15-3? 56-38-2? 1185-57-5? 14221-47-7?     7705-08-0?
    7783-50-8? 10421-48-4? 10028-22-5? 10045-89-3? 7758-94-3?
    7720-78-7? 206-44-0? 86-73-7? 50-00-0? 64-18-6? 110-17-8? 98-01-1?
    86-50-0? 1024-57-3? 76-44-8? 118-74-1? 87-68-3? 77-47-4? 67-72-1?
    7647-01-0? 7664-39-3? 74-90-8? 7733-06-4? 193-39-5; 7439-89-6?
    78-59-1? 78-79-5? 54590-52-2? 115-32-2? 143-50-0? 301-04-2?
    3687-31-8? 7758-95-4? 13814-96-5? 7783-46-2? 10101-63-0?
    10099-74-8?       1072-35-1? 7446-14-2? 1314-87-0? 592-87-0?
    7439-92-1? 58-89-9?   7439-93-2? 14307r35-8? 108-39-4? 108-38-3?
    121-75-5? 110-16-7?   108-31-6? 123-33-1? 7439-96-5? 2032-65-7?
    592-04-1? 10045-94-0?       7783-35-9? 592-85-8? 10415-75-5?
    7439-97-6? 72-43-5? 71-55-6?    74-88-4? 74-93-1? 80-62-6?
    298-00-0? 78-93-3? 7786-34-7? 315-18-4?    2385-85-5? 7439-98-7?
    108-90-7? 75-04-7? 74-89-5? 150-68-5? 84-74-2?       621-64-7?
    55-18-5? 62-75-9; 86-30-6? 300-76-5? 91-2S-3? 1338-24-5?
    7785-20-8? 7718-54-9? 12054-48-7? 13138-45-9? 7786-81-4? 7440-02-0?
    4726-14-1? 14797-55-8? 7697-37-2? 98-95-3? 7727-37-9? 10102-44-0?
    25154-55-6? 684-93-5? 59-89-2? 95-48-7? 90-05-1? 95-47-6? 59-50-7?
    106-44-5? 106-46-7? 106-42-3? 30525-89-4? 4685-14-7? 56-38-2?
    12674-11-2? 11104-28-2? 11141-16-5? 53469-21-9? 12672-29-6?
    11097-69-1? 11096-82-5? 87-86-5? 127-18-4? 72-56-0? 85-01-8?
    578-94-9? 108-95-2? 103-82-2? 298-02-2? 75-44-5? 7664-38-2?
    10025-87-3? 1314-80-3? 7719-12-2? 7723-14-0? 88-99-3? 51-03-6?
    1336-36-3; 10124-50-2? 7778-50-9? 7789-00-6? 151-50-8? 1310-58-3?
    7722-64-7? 7784-41-0? 1918-16-7? 709-98-8? 2312-35-8? 139-40-2?
    79-09-4? 123-62-6? 114-26-1? 75-56-9? 129-00-0? 121-29-9? 91-22-5?
    13982-63-3; 15262-20-1? 10043-92-2? 108-46-3? 299-84-3? 83-79-4?
    94-59-7? 12640-89-0? 7782-49-2? 7761-88-8? 7440-22-4? 93-72-1?
    122-34-9? 7631-89-2? 7784-46-5? 10588-01-9? 1333-83-1? 7631-90-5?
    7775-11-3? 143-33-9? 25155-30-0? 7681-49-4? 62-74-8? 16721-80-5?
    1310-73-2? 7681-52-9? 124-41-4? 7632-00-0? 7S58-79-4? 7601-54-9?
    10102-18-8? 7440-23-5? 8001-50-1? 7789-06-2? 57*24-9? 100-42-5?
    10025-67-9; 7664-93-9? 72-54-8? 127-18-4; 78-00-2; 107-49-3?
    7446-18-6? 7440-28-0? 23564-05-8? 108-88-3? 8001-35-2? 75-25-2?
    52-68-6? 25323-89-1? 79-01-6? 75-69-4? 25167-82-2? 27323-41-7?
    121-44-8? 1582-09-8? 75-50-3? 50-31-7? 7440-61-1? 541-09-3;
    10102-06-4; 1314-62-1? 7440-62-2; 27774-13-6? 108-05-4? 75-01-4?
    75-35-4? 1330-20-7? 1300-71-6? 557-34-6? 1332-07-6? 7699-45-8?
    3486-35-9; 7646-85-7? 557-21-1? 7783-49-5; 557^41-5? 7779-86-4?
    7779-88-6? 127-82-2? 1314-84-7? 16871-71-9? 7733-02-0? 7440-66-6?
    13746-89-9? 16923-95-8? 14644-61-2? 10026-11-6
(CNH)  Contact name(s); Russo,R.C.?    Lozano? S. J» ?    Russo,R.C.
(ROR)  Responsible Organizations Office of Research and
    Development*OffIce of Environmental Processes and Effects Rese
                             808

-------
                             Accession No.   6408000201

CDQ)  Date of Questionaire:  12-02-82
(NAN)  Name of Data Base of  Model:  Mussel Hatch
(ACR)  Acronym of Data Base  or Model:  HUSHTCH
(MED)  Media/Subject of Data Base or Model:  Tissue Mussels:  Mytilus
    edulis and M. californianus; oyster:  Crassostrea virginica
(AeS)  Abstract/Overview of  Data Base or  Model: Data base contains
    tissue residue analyses  for four (4)      pollutant  classes in three
    <3) mo Husk species (Mytilus     edulis/  H. californianus and
    Crassostrea virginica)    collected between 1976 and 1979 in
    coastal bays and estuaries    along the Atlantic, Gulf/  and Pacific
    coast lines at 108    stations.  Sample frequency is annual uith
    monthly data for Narragansett Bay (R.I.)  and Bodega Bay  (CA).
    Pollutants    include metals/ synthetic organics/ transuranics/ and
    petroleum  hydrocarbons.  Histopathologic data from 1976 collection
    included.
(CTC)  CONTACTS: Subject natter   Dr.  Donald K. Phelps   (401) 838*4843
    ;     Computer-related  D
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in  Data Base: 41 CHA potential
    criteria
(NPP)  Non-pollutant parameters included  in the data base: Biological
    data ^Location /Sampling date ;5ite description /Temperature /
    Shell measurements (partial) /analyzing laboratory
(DS)  Time period covered by data base: 04-01-76 TO 12-30-79
(TRM)  Termination of data collection: Anticipated 12/30/82
(FRQ)  Frequency of data collection or sampling: monthly ;annually
(NOB)  Number of observations in data base: 8000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: 900.
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data base: 108.
(NCS)  No. stations or sources currently  originating/contributing data:
    2.
(NOF)  Number of facilities  covered in data base (source aonitoring): .
(GEO)  Geographic coverage of data base:  National
(LOC)  Data elements Identifying location of station or source include:
    Coordinates latitude and longitude jProject identifier idate of
    collection
(CDE)  Pollutant identification data are: Other coding  scheme
(LIM)  Limitation/variation  in data of which user should be  aware: This
    is a research data base.  Entries subject    to revision.
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Samp1in
    g plan documented ^Collection method  documented ;Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or  accepted methods? YES
(AUD)  Lab Audit: Lab audit  is satisfactory.
(PRE)  Precision: Precision  and accuracy  estimates exist but are not
    included in data base.   Edit Remainder of date to  be edited in
    time.
(CBY)  Data collected by: Grantee laboratories
(ABY)  Data analyzed by: Grantee Laboratories
(IDL)  Laboratory identification: YES


                             809

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                             Accession No.   6408000201     (cont)

CPR1)  Primary purpose of data collection:  Anticipatory/research
(AWT)  Authorization for data collection: No statutory requirement:
    Data collection requirement is    the support of an anticipatory
    research program*
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data bases Publications
    The Mussel Watch/ Environmental Conservation,  V.5(2)    1978, pp.
    101-125
    Unpublished reports data summaries     Hydrocarbons,
    Polychlorinated Biphenyls, and ODE in Mussels and  Oysters frota the
    U.S. Coast, 1976-1978 - The Mussel Watch   by Farrington, J.W.j
    Risebrough, R.W.j Parker, P.L.; Davis,  A«C.;     de Lappe, B«;
    Winters, J.K.j Boataright, 0«; Frew, H.M.     October 1982,
    TECHNICAL REPORT^    UV S. "Mussel Watch" 1976-1978!  An Overview
    of the Trace Metal, DDE, PC8, Hydrocarbon and Artificial
    Radionuclide Data.     Farrington, J.M.; Goldberg, E.D.?
    Risebrough, R.ti.j Martin, J.H.?     Bowen, ¥«f.|f   Environmental
    Science and Technology.  In Press.# Hoods Hole Oceanographic
    Institution Contribution No. 5211.S     0«S. MOSSEL HATCH:
    1977-1978 Results on Heavy Metals and   Transuranics.  Goldberg,
    E*D«; Koide, M»/ and Hodge, V.  Scripps Institution of
    Oceanography, La Jolla, California 92093 and Martin, J.H. and
    Flegal, A«R.  Moss Landing Marine Laboratories, Moss Landing,
    California 95039f    Coastal and Continental Shelf Science* In
    Press-#
CMOS)  Wumber of regular users of data base: 5
(OSR)  Current regular users of data base:  EPA laboratories
    participating laboratories
(CHF)  Confidentiality of data and limits on access: Limits on access
    within EPA and outside agency for some  data*
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software Datman ;EPA hardware DEC 1170
(CHG)  Direct charge for non-EPA use: No outside use/access permitted
CUPDT)  Frequency of data base master file up-dates Other No new data
    collection to occur
CCM>)  completion of forms
    Robert R. Payne
    OFC: Office of Research and Developnent, Environ. Research
    Lab., Narragansett, R.I.
    AD: South Ferry Rd.r Narragansett, R.I. 02882
    PH: (401) 838-4843
(DF>  Date of form completion: 09-15-80
(NMAT)  Number of substances represented in data base: 3
(MCAS)  Number of CAS registry numbers in data base: 12-02-82      1
(MAT)  Substances represented in data base:
    Trace Metals  (Ni, Ag, Zn,               Am).Components of    PCB's,
       Cd, Pb, Cu)    Artificial            Hydrocarbons, DDE#
       Radionuclides (239+240 Pu, 241
CCMH)  Contact name(s): Phelps,D«K«    °,    Payne,R.R«
(COR)  Contact organization: Environmental Research Lab, Narragansett,


                             810

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&EPA
                 United states
                 Environmental Protection
                 A gency
                          Information
                          Clearinghouse
                          (PM 211A)
                          Washington DC  20460
July 1983
Office of  Administrations
Office of  Management Information & Support Services
                 EPA ENVIRONMENTAL

                 DATA BASE AND

                 MODEL DIRECTORY
                 Volume 2 of 2

                 Part 2 of 2 (Page's 811  through 1625)

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                             Accession No.   6408000201:     (cont)

    R.I.
(ROR)  Responsible Organization:  Office of  Research and
    Developaent.Office of Environaental Processes and Effects  Rese
                             811

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                             Accession No.   6408000202

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model: Coastal  Environmental Assessment
    Studies
(ACR)  Acronym of Data Base or Model:  CEAS
(MED)  Media/Subject of Data Base or Model: Sediment ;Surface
    water-estuarlne/marine ^Tissue Mercenaria mercenaria, Mytilus
    Pseudopleuronectes americanus
(ABS)  Abstract/Overview of Data Base  or Model:  This data base contains
    tissue residue analyses for    several  species including Mytilus
    edulis, Mercenaria   mercenaria and Pseudopleuronectes aiaericanus
    from both indigenous and transplanted populations exposed to
    varying  degrees of pollution in coastal and estuarine areas  of the
    United States.  Sample frequency varies.  Pollutants measured
    include metals, synthetic organics, and petroleum hydrocarbons.
    Biological effects are also addressed through histopathological
    examination plus a number of physiological parameters* prin-
    cipally Scope for Growth.
(CTC)  CONTACTS: Subject matter  Donald K.  P helps. Environmental
    Scientist  }     Computer-related   Robert Payne, ADP Coordinator
    (401)   ;    EPA Office  Robert Barles, Exploratory Research
(DTP)  Type of data collection or monitoring: Combination/Other data
    collection - ambient and    non-point source, sludge and dredge
    spoil dumping
(STA)  Data Base status: Operational/ongoing
(NPP)  Non-pollutant parameters included In the data base: Biological
    data ^Collection method ^Concentration  measures ^Exposure data ;
    Location ^Physical data ^Salinity  ^Sampling data ;Temperature ?
    Shell measurements ? Organism weights ;Sex
(OS)  Time period covered by data base: 01-01-70 TO 04-30-81
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: weekly ;monthly  ;as
    needed
(NOB)  Number of observations in data  base: 1200(Estimated}
(NEI)  Estimated annual increase of observations in data base: 200
(INF)  Data base includes: Ran data/observations
(NTS)  Total number of stations or sources  covered in data base:  15
(DCS)  No. stations or sources currently originating/contributing data:
    5
(NOF)  Number of facilities covered in data base (source monitoring): 0
(GEO)  Geographic coverage of data base: National selected areas
(LOC)  Data elements identifying location of station or source include:
    State /City Coordinates - latitude/longitude
(FAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant identification data are: Ohcoded
(LIM)  Limitation/variation in data of which user should be aware: The
    CEAS is a research data base and entries are  subject to revision.
(DPR)  Data collect./anal, procedures  conform to ORD guidelines:  Sanplin
    g plan documented ^Collection method documented ^Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AOD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates are not available*


                             812

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                             Accession No.   6408000202     (cent)

(EOT)  Editting: No known edit procedures exist.
(CBY)  Data collected by: EPA lab-ERL, Narragansett, R.I.
(ABY)  Data analyzed by: EPA lab-ERL, Narragansett, R.I.
    Other federal agency-NOAA/NMFS, MlIford
(IDL)  Laboratory identification:  YES
(PRl)  Primary purpose of data collection:  Anticipatory/research
(AUT)  Authorization for data collections No statutory requirement:
    Data collection requirement is for research purposes.
(OMB)  Data collected/submit ted using OMB*-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    -Phelps, O.K. and tf.B. Galloway.  1979.  The Use of Introduced
    Species (Mytilus edulis) as a    Biological indicator of Trace
    Metal Contamination in an Estuary. In:  Advances in Marine
    Environmental Research.  USEPA  600/9-79-035:26-37. Hiddous, J.L.,
    O.K. Phelps and U.B. Galloway.  1981.  Measure-   ment of
    Physiological Condition of Mussels Along a Pollution     Gradient
    in Narragansett Bay.  Marine Environmental Research.    4:181-194.
    Phelps, O.K. and H.B. Galloway.  1980.   A Report on the Coastal
    Environmental Assessment Station (CEAS) Program.  Rapp. p.-v.
    Reun. Cons. Int. Explor. Her./ 179:76-81.    Phelps, O.K., H.B,
    Galloway, F.P. Thurberg, E. Gould, M.A.  Dawson.  1981.  Comparison
    of Several Physiological Monitoring   Techniques as Applied to Blue
    Mussel Mytilus edulis/   Along a Gradient of Pollutant Stress In
    Narragansett Bay, Rhode  Island. In: Biological Monitoring of
    Marine Pollutants.     F.J. Vernberg, A. Calabrese, P.P. Thurberg,
    H.B. Vernberg, eds., Academic Press, 335-355. Myers, Allen c* 1979.
    Summer and winter Burrows of a Mantis Shrimp,  Squilla eapusa, in
    Narragansett Bay, Rhode Island (USA).    Estuarlne and Coastal
    Marine Science, Vol. 8, 87-98.   Phelps, O.K. and A.C.  Myers.
    1977.  Ecological considerations in     site assessment for
    dredging and spoiling activities. In:   Proceedings of the second
    U.S./Japan meeting on management of    bottom sediments containing
    toxic substances, October, 1976.  EPA     Ecological Research
    Series, EPA 600-3-77-083.     Phelps, O.K., Telek, G., and R.L.
    Lapan, Jr.  1975.  Assessment  of heavy metal distribution within
    the food web.  In: Marine     Pollution and Marine Haste Disposal,
    pp. 341-348.  Ed. by E.A.   Pearson and E.D. Franglpane.  Pergamon
    Press, Oxford and New York.    Bayne, B.L., Moore, M.N., Hiddows,
    J., Livingstone, D.R. and     Salkeld, P.N.  1979. Measurement of
    the responses of individuals to environmental stress and pollution.
    Phil. Trans. R. Soc. Set.     B. 286, 563-81.
    Unpublished reports - unknown at this time
(NUS)  Number of regular users of data base: 1
(OSR)  Current regular users of data base: EPA laboratories
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Magnetic disc ^Original form (hardcopy,
    readings)
(DAC)  Type of data access: Manually ;EPA software: DATMAN ;EPA
    hardware DEC 11/70


                             813

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                             Accession Ho«   6408000202     (cont)


       <11097-69-l>                      dissolved oxygen
    aluminura<7429-90-5>                  fluoranthene<206-44-0>
    ammonia<7664-41-7>                   hydrocarbons
    a«thracene<120-12-7>                 iron<7439-89-6>
    benzo(a>anthracene<56-55-3>          lead<7439-92-l>
    benzo(g/-h^i)perylene<191-24-2>       n-alkanes (clO-c30)
    ben2o(k)fluoranthene<207-08-9>       nickel<7440-02-0>
    ben20ta3pyrene<50-32-8>              phenanthtene<85»01-8>
    cadalun<7440-43-9>                   polychlorinated biphenyls (PCBs)
    chlordane<57-74-9>                      <1336-36-3>
    chromium<7440-47-3>                  pyrene<129-00-0>
    chrysene<218-01-9>                   silver<7440-22-4>
    copper<7440-50-8>                    vanadiu»<7440-62-2>
    ddt<50-29-3>                         zinc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data bases  11097-6
    9-1? 7429-90-5; 7664-41-7? 120-12-7>   S6-S5-3J  191-24-2? 207^08-9?
    50-32-8; 7440-43-91 57-?4-9> 7440-47-3?       218-01-9? 7440-50-8?
    50-29-3? 53-70-3? 206-44-0? 7439-89-6?       7439-92-1? 7440-02-0?
    85-01-8? 1336-36-3? 129-00-0? 7440-22-4?    7440-62-2? 7440-66*6
(CNM)  Contact name(s): Gallouay^M.    ?    Payne^S.
(COR)  Contact organization: Robert Barles? Exploratory Research
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects Rese
                             814

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                             Accession No.   6409000106

(DQ>  Date of Questionaires 12-02-82
(NAM)  Name of Data Base of Model:  Environmental (Microbial
    Populations)
(ACR)  Acronym of Data Base or Models  None
(M£D)  Media/Subject of Data Base or Model:  Surface water  estuarlne
CABS)  Abstract/Overview of Data Base  or Model:  Samples of inshore
    surface films were   collected using a  membrane adsorption
    technique*  These samples were analyzed for  bacterial
    populations which were typically 10-100 tines greater   than those
    in underlying waters of 10 centimeters.

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                             Accession No.   6409000106     (cont)

    Proceedings of International Biodegradation    Symposium,  1976
(NUS)  Number of regular users of data base:  No longer used
(CNF)  Confidentiality of data and Halts on access: No limits on
    access to data
(DLC)  Primary physical location of data: published
(DST)  Form of data storage: none
(DAC)  type of data access: Manually
(CHG)  Direct charge for non-EPA use:  yes
(CMP)  Completion of form:
    Al Bourquin
    OFC: £PA/(ORD)/(OEPER)/(ERL-GB)
    AD: Sabine Island Gulf Breeze, FL
    PH: (904)932-5311
(DF)  Date of form completion: 12-14-82
(CUM)  Contact name(s): Bourguin,A.
(COR)  Contact organization: Environmental Research Lab-Gulf Breeze
(RQR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Processes and Effects  Rese
                             816

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                             Accession No.   6409000107

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Models  River Pollution by
    Anticholinesterase Agents
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or  Model!  Effluents pesticide
    manufacturers >Surface Hater Missouri and Kansas Rivers
(ABS)  Abstract/Overview of Data Base or Model:  Pesticides disulfoton,
    fensulfothion,   azlnphosmethyl,  and propoxur were  detected  by
    GOffass  spectronetrlc analysis at concentrations of 0.4-4 parts
    per million in a pesticides manufacturer's effluent entering the
    Blue River near its confluence ulth the  Missouri River in   Kansas
    City, Missouri.  Poisoning of fishes by  effluent uas measured in
    the laboratory and in the Missouri River by     measuring
    acetylcholinesterase Inhibition in brain tissue in     July  and
    October, 1972.
(CTC)  CONTACTS: Subject matter   D.  Coppage  (202) 557-7484 ;    EPA
    CM-2 1125B (TS-769C) Nash*,
(DTP)  Type of data collection or monitoring: Point source data
    collection pesticide manufacturing
(STA)  Data Base status: Discontinued
(NPP)  Non-pollutant parameters included in  the data base: Biological
    data ;Chemical data ^Concentration measures ^Discharge points j
    Exposure data ;FIOH rates ^Geographic subdivision ;Location  7
    Manufacturer ;Political subdivisions ;Sampling date ;Site
    description ;    Test/analysis method
(DS)  Time period covered by data base: 07-01-72 TO 10-30-72
(TRM)  Termination of data collection: Occurred 10/30/72
(FRQ)  Frequency of data collection or sampling: one time only
(NOB)  Number of observations in data base:  2.(Actual)
(NEI)  Estimated annual Increase of observations in data base: 0.
(INF)  Data base includes: Summary aggregate observations
(NTS)  Total number of stations or sources covered in data base: 5*
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(NQF)  Number of facilities covered in data  base (source monitoring): 1.
(GEO)  Geographic coverage of data base: Geographic region Missouri and
    Kansas Rivers
(LOG)  Data elements identifying location of station or source Include:
    State jCity
(FAC)  Data elements identifying facility include: Plant location
(CDE)  Pollutant identification data are: Oncoded
(LIM)  Limitation/variation in data of uhich user should be  an are: Four
    pesticides measured in effluent at Kansas City, MO. 5 stations
    monitored for fish poisoning    on Kansas and Missouri Rivers in
    1972 (July and October).
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Samplin
    g plan documented ;Collection method documented /Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but are not
    included in data base.


                             817

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                             Accession No.   6409000107     (cont)

(EOT)  Edit ting; Edit procedures used and documented.
(CB¥)  Data collected by; EPA lab Environmental Research Lab-Gulf
    Breeze
(ABY)  Data analyzed by: EPA lab Environmental Research Lab-Gulf Breeze
CIDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Compliance or enforcement
CAUT)  Authorization for data collection: Statutory authorization is P
    L 92-500 as amended CClean Hater Act-CHA) Statutory authorization
    is P L 92-516 as amended (Federal Insecticide,     Fungicide and
    Rodenticide Act-FlFRA)
(OMB)  Data collected/submitted using OMB™approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    Coppage, D.L- and T.E- Braidech "River Pollution    by
    Anticholinesterase Agents.*4  Hater Research (1976) vol. 10, pp.
    19-24.
(NDS)  Number of regular users of data base: 1 office
(USR)  Current regular users of data base:  EPA laboratories
                 guthion<86-50-0>
    fensulfothion<115-90-2>              propoxur
(CAS)  CAS registry numbers of substances included in data  base: 298-04-
    4; 115-90-2J 86-50-Oj 114-26-1
(CNM)  Contact name
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                             Accession No.   6502000104

(DQ)  Date of Questionaire:  12-02-82
CHAM)  Name of Data Base of Model:  Epidemiology Studies (including
    -CHESS*)
(ACR)  Acronym of Data Base or Models  None
(MED)  Media/Subject of Data Base or Models  Air ;Qther health status
    questionnaires regarding physiologic measures
(ABS)  Abstract/Overview of Data Base or Models The data base includes
    questionnaire    responses from population surveys of health
    status,    such as:  acute respiratory  disease incidence, chronic
    respiratory disease prevalence/ and asthma attack frequency;
    physiologic monitoring,  such as   ventilatory function;  personal
    information on     demographic, socio-economic characteristics; and
    ambient air quality data*
(CTC)  CONTACTS: Subject matter   Villiam Nelson  (919)541-2330   ;
    Computer-related  Gerald

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                             Accession No.   6502000104     (cent)

    Contractor lab several contractor labs
(IDL)  Laboratory identification:  NO
(PR1)  Primary purpose of data collection:  Risk assessment
(PR2)  Secondary purpose of data collection: Anticipatory/research
         sulfur dioxide<7446-09-5>
    ozone<10028-15-6>                    total suspended particulates
(CAS)  CAS registry numbers of substances included in data base: 10102-4
    4-Oj 10028-15-6; 7446-09-5
(CNN)  Contact name(s): Nelson, H. ;    Nehls,G.  ;    Cortesi,R.
(ROR)  Responsible Organization; Office of  Research and
    Development.Offlee of Health Research*Health Effects Search La
                             820

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                             Accession No.   6502000105

(DQ)  Date of Questions!re:  12-02*82
(NAM)  Name of Data Base of Model:  Clinical Laboratory  for  Evaluation
    and Analysis of Noxious  Substances/Clinical  Research
0ther physiological performance
tABS)  Abstract/overview of Data Base or Model: The data base includes
    test subject physical and  medical status/  environmental exposure
    measurement and control   data, environmental facility  operational
    status, physiologic     function measurements* results  of
    biochemical and immunelogical  blood analyses, instrument
    calibration data, and quality    assurance  audit results.
(CTC)  COMTACTS: Subject natter   Walter L. Crider  (919) 541-2872;
    Computer-related  Walter
(DTP)  Type of data collection or monitoring: Combination/Other
    exposure atmospheres
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances represented In Data Base: 7 criteria NAAQS
    ?3 HID CAA
(NPP)  Non-pollutant parameters included in the data base:  Biological
    data ;Chemical data /Collection method }Concentration measures ;
    Exposure data ;Flou rates ;Health effects ^Physical data ;Sampling
    date ;  Temperature ;Volume/mass measures ;physiologic  performance
(DS)  Time period covered by data base: 03-01-77 TO 09-30-81
(TRM)  Termination of data collection: Hot anticipated

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                             Accession No.   6502000105     (cont)

(IDL)  Laboratory Identification:  BO
(AUT)  Authorization for data collections  statutory authorization  is  P
    L 88-206 as amended (Clean Air Act - CAA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms;
    QQ
CREP)  Form of available reports and outputs of data base:  Publications
    Effects of Air Pollutants on Human Cardlopulaonary  Function
    Machine-readable raw data
    On-line computer
(BUS)  Number of regular users of data base!  1  office
(USR)  Current regular users of data base;  EPA  laboratories
(CNF)  Confidentiality of data and limits  on access: Limits on access
    within EPA and outside agency for some   data
(DLC)  Primary physical location of datas  Contractor
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: EPA software set of individual  programs
    with no system name ;     EPA hardware  DEC  PDP-11/40
(CHG)  Direct charge for non-EPA use: yes
(OPDT)  Frequency of data base master file  up-date:  Weekly
(CMP)  Completion of form:
    Robert E. Lee
    OFC: EPA/(ORD)/(QHR)/(HERL-RTP)
    AD: Research Triangle Park, NC 27711
    PH: (919) 541^2283
(DF)  Date of form completion: 01-25-83
(NMAT)  Number of substances represented in data base: 6
(NCftS)  Number of CAS registry numbers in  data  base: 4
(MAT)  Substances represented in data base:
    acid mist                           ozone<10028-15-6>
    carbon raonoxide<630-08-0>           sulfur dioxide<7446~09-5>
    nitrogen dioxide<10102-44-0>        total  suspended particulates
(CAS)  CAS registry numbers of substances  included in data  base: 630-08-
    0} 10102-44-Oj 10028-15-6? 7446-09-5
(CNM)  Contact name(s): Crider,M.L«    J    Crider/W.L.    }
    Cortes1*R.
(KOR)  Responsible Organization: Office of  Research and
    Development.Office of Health Research,Health Effects Search La
                             822

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                             Accession No.   6502000106

(DQ)  Date of Questionalre: 12-02-82
(NAM)  Name of Data Base of Model:  Mortality Data Base
(ACR)  Acronym of Data Base or Models  None
(MED)  Media/Subject of Data Base or Model:  Other No Specific
    Media-death records from National Center for Health  Statistics
(ABS)  fibstract/Overview of Data Base or Model:  The data base includes
    all O.S. cancer deaths for the   years 1950-1961 and all  deaths  for
    the years 1962-1978*
(CTC)  CONTACTS:  Subject matter   Wilson B«  Riggan  (919) 541-26741
    Computer-related  John V
(DTP)  Type of data collection or monitoring: Combination/Other cancer
    related death records
(STA)  Data Base status: Discontinued
(MPP)  Non-pollutant parameters included in the data base: Political
    subdivisions ;Population demographics ^Health Effects:   Death
    records
(DS)  Time period covered by data base: 01-01-50 TO 12-31-78
(TRM)  Termination of data collection: Occurred 12/31/78
(FRQ)  Frequency of data collection or samplings Other  annual death
    records
(NOB)  Number of observations in data base:  35000000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: (N/&.)
(INF)  Data base includes: Summary  aggregate observations
(NTS)  Total number of stations or sources  covered in data base: 0.
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(NOF)  Number of facilities covered in data base (source monitoring): 0.
(GEO)  Geographic coverage of data  base: National
(LOC)  Data elements identifying location of station or source include:
    State ;County
(FAC)  Data elements identifying facility includes N/A
(CDE)  Pollutant identification data are: Other coding  scheme
(LIM)  Limitation/variation in data of which user should be  auare:  None
(DPR)  Data collect./anal, procedures conform to ORD guidelines: QA
    procedures documented
(AUD)  Lab Audit: Data not based on lab analysis.
(EOT)  Editting:  Edit procedures used but undocumented.
(CBY)  Data collected by: Other federal agency U.S. National Center for
    Health  Statistics
(ABY)  Data analyzed by: Other federal agency U.S. National  Center  for
    Health   Statistics
(PR1)  Primary purpose of data collection:  Special study
(AUT)  Authorization for data collection: No statutory  requirement:
    Data collection requirement is    used to support Health Effects
    Research Laboratory research.
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Publications
    several publications
    Machine-readable raw data
(NUS)  Number of regular users of data base: 2 offices
(USR)  Current regular users of data base:  EPA laboratories


                             823

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                             Accession No.  6502000106     (cont)

    university
(CNF)  Confidentiality of data and Units on access: No Units on
    access to data
(DLC)  Primary physical location of data: NCC/UKIWAC
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: EPA software Mortality Studies Support
    MIDS:6502200106 ;individual computer tap
(CHG)  Direct charge for non-EPA use: No
(UPDT)  Frequency of data base master file up-date: Other data base no
    longer being updated
(CMP)  Completion of form:
    William Nelson
    OFC: EPA/
-------
                             Accession No.   6502000108

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Karae of Data Base of Model:  Population at Risk
(ACR)  Acronym of Data Base or Model:  POPATRISK
(MED)  Kedia/Subject of Data Base or Model:  Air ;0ther climatology
    >0ther death records census population  records ;     No specific
    media
(ABS)  Abstract/Overview of Data Base or Model: County level national
    data base containing air    quality/ death rate/ climatology/
    socio-economic/ demographic/   and migration information.  Air
    quality includes 1974 means/     maxima/ and minima for 5 criteria
    pollutants:  total   suspended particulates (TSP)/ sulfur dioxide
    (S0<2>), nitrogen   dioxide (N0<2»/ carbon monoxide (CO)/ and
    ozone.  Death    records include 1969-71 age adjusted death rates
    for 50     International Classification of Diseases-Adapted
    categories by race and sex-
(CTC)  CONTACTS: Subject matter   William Nelson  (919) 541-2330  ;
    Computer-related  Jerome
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances represented in  Data Base: 7 criteria NAAQS
(NPP)  Non-pollutant parameters included in the data base: Concentration
    measures ^Elevation ;Health effects ;Political subdivisions ;
    Population demographics ^Population density ^Precipitation ;Site
    description >  Temperature ;in-out county migration jfanlly income
    ;alcohol sales
(DS)  Time period covered by data base: 01-01-69 TO 12-30-74
(TRM)  Termination of data collection: Occurred 12/30/74
(FRQ)  Frequency of data collection or sampling: Other includes SAROAD
    (Storage and Retrieval of Air Quality Data) 1974 air quality data
    base.
(NOB)  Number of observations in data base:  10000000.(Estimated)
(NET)  Estimated annual increase of observations in data base: 0.
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations ^Reference data/citations
(NTS)  Total number of stations or sources  covered in data base: 6000.
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(NQF)  Number of facilities covered in data base (source monitoring):  60
    00.
(GEO)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or source include:
    State ;County
(FAC)  Data elements Identifying facility Include: N/A
(CDS)  Pollutant identification data are: Saroad parameter
(LiM)  Limitation/variation in data of which user should be aware: None
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(PRE)  Precision: Precision and accuracy estimates are not available
(EDT)  Editting: Edit procedures used but undocumented.
(CBY)  Data collected by: Contractor System Sciences/ Inc. ;Other
    federal agency U.S. Census Bureau/ Natio Health Statistics/
    National Oceanographic and Atmospheric  Administration ; EPA
    headquarters Office of Air Quality Planning and  Standards.


                             825

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                             Accession No.   6502000108     (cont)

(ABY)  Data analyzed by:  EPA headquarters Office of Air Quality
    Planning and Standards
(IDL)  Laboratory Identification: NO
(PR1)  Primary purpose of data collection:  Anticipatory/research
(ACT)  Authorization for  data collection: No statutory requirement:
    Data collection requirement is    to support air quality health
    effects research.
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  For IB of available  reports and outputs of data base:  Publications
    Population at Risk to various Air Pollution    Exposures:  Data
    Base -POPATRISK- (EPA 600/1^78-051) also in National Technical
    Information Service
    Machine-readable raw  data
(NUS)  Number of regular  users of data base: 5 offices
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Research and Development
    EPA laboratories
    Other federal agencies
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  primary physical location of data: HCC/ONIVAC
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: Commercial software System 2000 ;EPA
    hardware UNIVAC 1100
CCHG)  Direct charge for  non-EPA use: no
(UPDT)  Frequency of data base master file  up-date: Other data base no
    longer updated
(CMP)  Completion of fora:
    Hi 1 Ham Nelson
    OFC: EPA/(ORD)/(OHR)/(HERL-RTP)/(BD)
    AD: Research Triangle Park, NC 27711
    PH: 919-541-2330
(DF)  Date of form completion: 01-25-83
(NMAT)  Number of substances represented in data base: 5
(NCAS)  Number of CAS registry numbers in data base: 4
(MAT)  Substances represented in data base:
    carbon monoxide<630-08-0>            sulfur dioxide<7446-09-5>
    nitrogen dioxide<10102-44-0>         total suspended particulates
    ozone<10028-15-6>
(CAS)  CAS registry numbers of substances included in data  base: 630-08-
    0; 10102-44-0; 10028-15-6; 7446-09-5
(CUM)  Contact name(s): Nelson,W. ;    Gerding,J.
(COR)  Contact organization: Health Effects Research Lab-Research
    Triangle Park
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Health Research.Health Effects Search La
                             826

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                             Accession No.   6502000109

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Genetic  Toxicology Information
    System
(ACR)  Acronym of Data Base or Model:  GTDMIS
(MED)  Media/Subject of Data Base or Model: Air ^Mobile source
    emissions ;0ther complex chemical  bioassays ;   Other Not  related to
    specific media:  pure chemicals also tested
(ABS)  Abstract/Overview of Data Base  or Model: This data base  is
    designed to store data from     genetic toxicology  bioassays of
    pollutants including   complex mixtures and pure chemicals. The
    data will    include results from  Genetic Toxicology Divisions
    (GTD)     research and GTD contractor bioassays. In addition,
    results of biological tests reported in the literature will be
    included on some chemicals.  Pollutant  parameters   have  not,  as
    yet, been defined for inclusion in the  data    base.
(CTC)  CONTACTS: Subject natter   Barry Houard  (919) 541-4689     j
    Computer-related  Carol
(DTP)  Type of data collection or monitoring: Combination/Other
    laboratory observations
(STA)  Data Base status: Funded for developnent
(DPQ)  Projected operational date of Data Base: 01-00-82
(NPP)  Non-pollutant parameters included in the data base: Biological
    data
(OS)  Time period covered by data base: 01-00-80
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: as needed
(NOB)  Number of observations in data  base: N/A.(Estimated)
(NEI)  Estimated annual increase of observations in data base:  300,
(INF)  Data base includes: Ran data/observations >Summary aggregate
    observations ^Reference data/citations
(NTS)  Total number of stations or sources  covered in data base: (N/A.)
(NCS)  No. stations or sources currently originating/contributing  data:
    (N/ft.)
(NOF)  Number of facilities covered in data base {source monitoring): (N
    /A.)
(LOG)  Data elements identifying location of station or source  includes
    N/A
(FAC)  Data elements identifying facility Include: N/A
(CDE)  Pollutant identification data are; CAS registry  number
(LIM)  Limitation/variation in data of which user should be auratet None
(DPR)  Data collect./anal, procedures  conform to ORD guidelines: Analysi
    s method documented |QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods?  MO
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: precision and accuracy estimates are  not available
(EOT)  Editting: Edit procedures used  and documented.
(CBV)  Data collected by: EPA lab Health Effects Research Lab-Research
    Triangle Park ; Con tractor lab vario
(ABY)  Data analyzed by: EPA lab Health Effects Research Lab-Research
    Triangle Park
    Contractor lab various labs under  contract to EPA
(TDL)  Laboratory identification: YES


                             827

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                             Accession No.   6502000109     (cont)

(PR1)  Primary purpose of data collection:  refining and developing
    bloassays
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base;  Printouts on
    request
(NUS)  Number of regular users of data base:  1  office
(USR)  Current regular users of data base:  EPA  laboratories
(CNF)  Confidentiality of data and limits on access: Limits on access
    within EPA and outside agency for some   data
(DLC)  Primary physical location of data: NCC/OHIVAC
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software Genetic Toxicology Information
    System  MIDS:6502800904 ;  EPA hardware UNIVAC 1100
(CHG)  Direct charge for non-EPA use: no outside use/access permitted
(UPDT)  Frequency of data base master file  up-date: Quarterly
(CMP)  Completion of form:
    Carol Evans
    OFC: EPA/(ORD)/(OHR)/(HERL-RTP)/(B0)
    AD: Research Triangle Park, NC 27711
    PH: (919) 541-2567
(DF)  Date of form completion: 01-25-83
(CNM)  Contact name(s): Howard,fi. ;    Evans,C.
(COR)  Contact organization: Genetic Toxicology Division
(RQR)  Responsible Organization: Office of  Research and
    Development.Office of Health Research*Health Effects Search La
                             828

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                             Accession No.   6502000110

(DQ)  Date of Questionaire: 12-02-82
(NAN)  Name of Data Base of Model;  Hunan Morbidity Costs of Air
    Pollution in St. Louis
(ACR)  Acronym of Data Base or Model: None
(MED)  Media/Subject of Data Base or Model:  Air
(ABS)  Abstract/Overview of Data Base or Model: Consists of records for
    approximately 10,000 individuals residing in the urbanized area of
    the St.  Louis Standard Metropolitan Statistical Area (SMSA)    who
    were administered background and follow-up    questionnaires during
    overlapping 8 week periods between    June 1978 and July 1979.
    Principal background parameters   concern demographics, income/
    health insurance,   occupation* residence* diet, exercise, sacking,
    and    baseline health status.   Principal follow-up parameters
    concern medical problems, disability, health services  utilization,
    and exposure to ambient pollutants and     meteorological
    conditions.
(CTC)  CONTACTS: Subject matter   Michael D. Koontz  (301) 424-9133
    ;     Computer-related  Michael D. Koontz  (301 424-9133   , EPA
    Office  Alan P. Carlin  (202) 382-5754
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Funded for development
(DPO)  Projected operational date of Data Base: 12-00-80
(GRP)  Groups of substances represented in  Data Base: 7 criteria NAAQS
(NPP)  Non-pollutant parameters included in the data base: Cost/economic
    data ;Exposure data ^Health effects ^Location ;     Population
    demographics ^Temperature ;Wind velocity ;income ;    health
    Insurance joccupation ;residence ;diet  ;exercise ;smoking ;
    baseline health status
(DS)  Time period covered by data bases 06-01-78 TO 07-30-79
(TRM)  Termination of data collection: Occurred 07/30/79
(FRQ)  Frequency of data collection or sampling: one time only
(NOB)  Number of observations in data base:  10000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: (N/A.)
(INF)  Data base includes: Raw data/observations ,;Summary aggregate
    observations
(NTS)  Total number of stations or sources  covered in data base: 25.
(NCS)  No* stations or sources currently originating/contributing data:
    (N/A.)
(NOF)  Number of facilities covered in data base (source monitoring): (N
    /A.)
(GEQ)  Geographic coverage of data base: Geographic region St. Louis
    Standard Metropolitan Statistical area
(COB)  Pollutant identification data are; Encoded
(LIH)  Limitation/variation in data of which user should be aware:  Indiv
    idual exposures assigned from closest local  monitoring data to
    their hourly locations for major activities   (e.g. residence,
    work, school) during an 8 week period;      health effects over  the
    same period are reported by one     respondent for each household
    on a biweekly basis.
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Samplin
    g plan documented Collection method documented ;Analysis method
    document QA procedures documented


                             829

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                             Accession Ho.   6502000110    •' Cco.nt)

(ANL)  Lab analysis based on EPA-approved or accepted methods? ¥ES
(ADD)  Lab Audit:  Data not based on lab analysis*
(PRE)  Precision;  Precision and accuracy estimates exist but are not
    included in data base.
(EOT)  Edittings  Edit procedures used and documented.
(CBY)  Data collected by: Local agency St.  Louis City/County and
    Southwest Illinois  monitoring stations.  Contractor Georaet
    Technologies,  Inc.
(ABY)  Data analyzed byi  No analysis has been done to date
(IDL)  Laboratory identification: §0
(PR1)  Primary purpose of data collection:  Anticipatory/research
(PR2)  Secondary  purpose of data collections Special study
(AUT)  Authorization for data collection: No statutory  requirement;
    Data collection requirement Is    intended to provide estimates  of
    economic benefits (from reduced morbidity) associated with air
    pollution control strategies.
(OMB)  Data collected/submitted using QMS-approved EPA  reporting forms:
    158-R-0158
(REP)  Form of available reports and outputs of data base:  Machine-reada
    ble raw data
(NUS)  Number of  regular users of data bases 0
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of strategies Assessment and Special   Studies/Office of
    Research and  Development.
(CNF)  Confidentiality of data and limits on access: Limits on outside
    access for some data
(DLC)  Primary physical location of data: Contractor
(DST)  Form of data storages Magnetic tape
(DAC)  Type of data access; Commercial software any software accepting
    IBM EBCDIC  character coding
(CHG)  Direct charge for non-EPA use: no outside use/access permitted
    as yet
(UPDT)  Frequency of data base master file up-date: Other one time
    study only
(RDBEPA)  Related EPA data bases used in conjunction with this data  base
    SAROAD (Storage and Retrieval of Aeroraetric Data) data  used in
    constructing  data base.
(CMP)  Completion of form:
    Michael D« Koontz
    OFC: Geomet Technologies^ Inc.
    AD: 15 Firstfield Road Gaithersburg, MD 20760
    PH: 301-424-9133
(DF)  Date of form completion: 01-25-83
(NMAT)  Number of substances represented in data bases  5
(NCAS)  Number of CAS registry numbers in data base: 4
(MAT)  Substances represented in data base:
    carbon monoxide<630-08-0>            sulfur dioxide<7446-09-5>
    nitrogen dloxide<10102-44-0>         total suspended partlculates
    ozone<10028-15-6>
(CAS)  CAS registry numbers of substances included in data  base: 630-08-
    0; 10102-44-Oj 10028-15-6; 7446-09-5
(CNM)  Contact narae(s): Koontz,M.D.    ;    Koontz^M.D.    ;


                             830

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                             Accession No.   6502000110      (cont)

    Carlin,A.P.
(ROR)  Responsible Organization:  Office of  Research and
    Development.Office of Health Research.Health Effects Search La
                             831

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                             Accession No*   6502000111

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Same of Data Base of  Model:  Environmental  Protection
    Agency/National  Institutes for Health  C-13 NMR and  Mas
(ACR)  Acronym of Data Base  or Model:  CIS C-13 NMR
(MED)  Media/Subject of Data Base or Model: Other No specific  media:
    pure chemical compounds
(ABS)  Abstract/Overview of  Data Base  or  Model: The EPA/NIH  mass
    spectral library and C-13 NMR   library are  computer  searchable
    collections of mass spectra and nuclear magnetic spectra  of pure
    toxic chemicals and pollutants. They  are part of the EPA/NIH
    Cheffiical Information System    (CIS).  The aass spectral data  base
    contains more than 20,000    spectra  and the  NMR data  base about
    12/000 spectra of most  chemicals  including most, but  not  all, of
    the chemicals     indicated for this  data base.
(CTC)  CONTACTS: Subject matter   Dr.  Steven Heller  (202) 755-4938
    ;     Computer-related  D
(DTP)  Type of data collection or monitoring:  Cotbination/Other N/A
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances  represented in  Data Base: 43 air priority
    chemicals ;5 NESHAPS ;7  criteria NAAQS  ;3 HID  CAA ;  18
    radioactive ;noise ;129  307 CHA ;41 CHA potential criteria ;   21
    drinking water standards >9 potential drinking  water >29 drinking
    water monitoring ;   299 hazardous substances ;48 cancelled
    pesticides ;9 monitoring pesticides ?    54 TSCA assessment ;RCRA
    hazardous wastes }16 Pre-RPAR
(NPP)  Non-pollutant parameters included  in the data base: Chemical
    data ;Test/analysis method
(DS)  Time period covered by data base: 01-01-30  TO 11-30-81
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or samplings  as needed
(NOB)  Number of observations in data  base: (more than
    32000)(Estimated)
(NEI)  Estimated annual Increase of observations  in data base: (unknowi)
(INF)  Data base includes: Ran data/observations  ^Reference
    data/citations
(NTS)  Total number of stations or sources  covered  in data base: 1000
(NCS)  No. stations or sources currently  originating/contributing  data:
    66
(NOF)  Number of facilities  covered in data base  (source monitoring): (N
    /A)
(GEO)  Geographic coverage of data base:  International
(LOO  Data elements identifying location of station or  source include:
    project Identifier
(fAC)  Data elements identifying facility include:  N/A
(CDE)  Pollutant identification data are: CAS registry number
(LIM)  Limitation/variation  in data of which user should be  aware: This
    library is accessible through the  Management      Information and
    Data systems Division (MIDSD).   Only  a  fraction of this  data
    originates in the Health Effects Research Lab-Research Triangle
    Park (HERL-RTP)-none is  stored as  a data base there.  Data
    originating in HERL-RTP   is contributed to the  Chemical  Information
    System (CIS) in  Washington.


                             832

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                             Accession No.   6502000111     (cent)

(PRE)  Precision: Precision and accuracy estimates exist but are not
    included in data base
(EOT)  Editting:  No known edit procedures exist.
(CBY)  Data collected by: EPA lab Health Effects  Research Lab-Research
    Triangle Park ;various universities
(ABY)  Data analyzed by:  EPA lab Health Effects Research Lab-Research
    Triangle Park
    various universities  and research laboratories
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Anticipatory/research
(AUT)  Authorization for  data collection: Statutory authorization  Is P
    L 92-516 as amended (Federal Insecticide/ Fungicide and Rodenticide
    Act-FIFRA)
(OMB)  Data collected/submitted using ONB-approved EPA reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base:  On-line
    computer
(HUS)  Number of regular  users of data base: 1000 or more
(USR)  Current regular users of data base:  EPA laboratories
    Other federal agencies
    States
(CNF)  Confidentiality of data and limits on access: Ho limits on
    access to data
(DLC)  Primary physical location of data: Contractor
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: Commercial software Telenet
(CHG)  Direct charge for  non-EPA use: yes
(DPDT)  Frequency of data base master file up-date: Other
    unknown-updates done  by users
(RSS)  Related EPA automated systems tihich use data base: Chemical
    Information System (CIS)
(CMP)  Completion of form:
    Nancy K. Wilson
    OFC: EPA/(ORD)/(OHR)/(HERL-RTP)
    AD: Research Triangle Park MC 27711
    PH: (919) 629-2358
(OF)  Date of form completion: 01-25-83
(NMAT)  Number of substances represented in data  base: 769
(NCAS)  Number of CAS registry numbers in data base: 995
(MAT)  Substances represented in data base:
                                         1,1,2,2,-tetrachloroethane
    *0,0-diethyl phosphoricacidjO-p-        <79-34-5>
       nitrophenyl ester<311-45-5>       l,l,2-trichloroethane<79-00-5>
    Of,0-diethyl-0-(2-pyrazinyl)          l,l,2-trichloroethene<79-01-6>
       phoshorothioOsO-diethyl-s-(2-     l,l-dlchloroethane<75-34-3>
       ethylthio)ethyl)ester of          l,l-dichloroethylene<75-35-4>
       phosphorodithioicacld             l,l-dimethylhydrazine<57-14-7>
    0,0-diethyl-s-methyl  ester of phos   l,12-trichloroethene<79-01-6>
       1,1,1,2-tetrachloroethane         1,2/3,4,10,10-hexachloro-ls4,4a,5,
       <630-20-6>                           8,8a-hexahydro-l,4:5,8-endo,
    l,l,l-trichloroethane<71-55-6>          endo-dimetha


                             833

-------
                         Accession No.
                                        6502000111
   tetrachlorobenzerae<95-94-3>
l*2-dIbromo-3-chIoropropane (dbep)
   <96-12-8>
l,2-dibronoetSiaise
l,2-dichlorobenz«ne<95-50*l>
lf 2-dichloroethane
If 2-dichloropropane<78~87-5>
If 2-dimethylhydr azine<540-73~8>
l,2-diphenylhydrazine<122-66-7>
l,2-propanediol<57-55-6>
If 2-tr ans-dichloroethylene
   <156-60-5>
1,3,4 trichloi:obejizene<120-82-l>
If 3-dichlor0benzene<541~73-I>
If 3-dichloropropene
l,3-dichlojropropylene<542-75-6>
l,3-pentadiene<5Q4-60-9»
l#3-propane sulton®<1120-7l™4>
U4-dichloro-2-butene<110-57-6>
1, 4-dichlorob«nzeia«<106»46-7»
l,4-dioxane<123-91-l>
If 4-naphthoquInone<130-15->4>
l»{o-chloroph@nyl)thiOMi:ea
   <5344-82-l>
l-(p-chloroban2oyl)-5-metho^y-2-
   ai€thylindole-3~acetic acid
l-
l-
2^

2,
2,
2f
2,
2,

2^

2,
2^

2,
2*
2,
2^
  naphthyl-2»thio«rea<86-88-4>
  naphthyla»ine<134-32-7>
  2-dichlojroproplonlc acid
   <75-99-0>
  3,4,6-tetrachlorophen©l<58«'90-2>
  4^5-t amines
  4^5-t esters
  4,5~t salts
  Af 5- tp ac I d es t ers
  4,5»trichlorophenoK95-9S»4>
  4,5-trichloropheisoxyacetic acid
   (TX93-76-S>
  4,5-trichlorophenoxypropionic
   acid (TP)<93-72»1>
  4,6-trichiorophenol<88~06-2>
  4,7,8-tetrachIorodibenzo-p-
   dioKin (tcdd)
  4-d acid<94-75-7>
  4-d esters
  4-dichloro phenoKi 20 =83-2>
  4-dichlorophenoxyacetic acid (2^
   4-d)<94-75-7>
                                     2, 4-dithiobiu?et<54i-53-7>
                                     2f6-dinitrotoluane<'606-20-2>
                                     2-ac©tyla®lnof loursne     .
                                     2-chloro«thylvinyl ether
                                     2-chloronaphthalea«<9i«58-7>
                                     2-chlorophenol<95-57-!-8>
                                     2-f luoroacetamld® <1081 K640-i9-7>
                                     2-nethyi-2«-C®«t!iflthio)prbpionalde
                                     2-ndthylazlri4ina
                                     2-nathyllactonitrii«<75-86-S>
                                     2-naphthylamine<91»59-8>
                                     2-nitropropane<79-46-9>
                                     2-plcollne<109-06-8>
                                     2-sec . buty 1-4^ 6-diniftrophenol
                                     3,3-*-4lBethoxybenzidine<119*90-4>
   butanone~d-CCBethylanlno)
   car bony Doxiae
3 f 4-benzo f luo r ant hen©< 20 5-9 9-2>
3^4-dihydroxy«alpha-( methyl amlnb)
   methyl benzyl alcohol
3-chloFOpropionitsrIle<542-76-7>
3~methylchoianthrene<56-49-5>
39196-18-4>
4,4'-methylen€-bis-<2-chloroanilln
4,6-dinitro~o-cresol<534-52-l>
4-Aninppyridine
4-bronophenyl phenyl ether
   <101~55-3>
4-chioro-©-t©luIdine hydrochloride
4-chlorophenyi'phenyl ether
   <70G5-72-«3>
                         834

-------
                         Accession No.  6502000111
                  Ccont)
4-nitrophenol<100-02«-7> .
5-(aminoiBethyl)-3~isQxazolol
   <2763-96-4>
5-nitro-o-toluidine<99->55-8>
6- amlno-l^ 13^,2^8^8 a* 8fo-h«xahydro-
   8-{hydroxyraethyl) 8»ai®thoxy-5-
   Bethyl-earaba
7,12-diraethylb«i2(a)ant 7~
   oxabicyc® I (2o2«l) heptane-2^3-
   dicarboxylicacid<145~73-3>
acenaphthene<83-32-9>
acenaphthylene<2Q8-96-8>
acetaldehyde<75-07»0>
acetic acid<64-19~7>
acetic anhydrid@<108~24~7>
acetone cyanohydsrin<75«-86^5>
acetone<67-64-l>
acetonitrile<75~Q§-8>
acetophenone<93-86-2>
acetyl btomidQ<506-'96-7>
acetyl.chloride<75-36-5>
acid a1st
acrolein<107-02™8>
acrylaraide<79-06-i>
acrylic acid<79-lfi-7>
acrylonitrile<10?~13~l>
adipic acid<124-04-»9>
alachlor<15972-60-8>
aldrin<309-00»2>
allyl alcohol<107-18»6>
allyl chlorlde<107-G5-l>
alpha/alpha-dine thylbenzylhydro-"
   peroxide<80-15-9>
alpha,alpha™ dimethylphenethylanine
   <122-09-8>
alpha-chloroto!uene
aluminum phosphide<20859-73-8>
aluminum sulfate<10043-01~3>
alualnuffl<7429-90-5>
amitraz Cbaa«)<33089-61-l>
amitrole<61-82-5>
aBBonia<7664-4I-'7>
ammonium acetate<63i-6I-8>
amnonium benz©ate<1863-63~4>
ammonium bic
ammonium blchronate<7789-09-5>
ammonium bifIuoride
ammonium btsulfite<10l'92-30-0>
ammonium carbamate
aranonium carbonate<506-87-6>
ammonium chlorid©<12125-©2-9>
ammonium chroffiate<7788-98»9>
ammonium citrate<7632-50-0>
ammonium f luoborate<13826-83-0>
ammonium flwosrlde
amnonium Ssf<3coxide<1336-21-6>
anooniua oxa|ate<1113-38-8>
asaonium picrate<131-74-8>
amnonium silicof luoride
   <16919-19-0>
ammonium sulf afflate<7773-06-0>
ammonium sulf ide<12135-76-l>
afflBonium sulf ite
amonium tarts-ate<3164-29-2>
ammonium thiocyanate<1762-95™4>
amnonium thiosulfate<7783-18-8>
arayl acatate<628-63-7>
aniline<62-53-3>
antiaoay pentachloride<7647-18-9>
antimony potassium tartrate
antimony tribroraide<7789-61-9>
antimony trichloride<10025-91-9>
antimony trlf luoride<7783-56-4>
antimony trioxide<1309-64-4>
ant iaony<7 440-36- 0>
arafflite<140-57-!-8>
arsenic acid<1327-52-2>
arsenic disuif ide< 1303-32 -8 >
arsenic pentoxide<1303-28-2>
arsenic t£ichloride<7784-34-l>
arsenic trioxide<1327-53-3>
arsenic trisulfide<1303-33-9>
arsenle<7440»38-2>
asbestos<1332-21-4>
atrazine<1912-24-9>
auraraine<246S-27-2>
a2aserine<115-02-6>
banvel«-d<1918-00-9>
barium cyanlde<542-62-i>
bariuss<7440-39-3>
benefin<1861-40-l>
benonyl<17804-35-2>
benz{c)acridine<225-Sl-4>
benzac
benzal chloride<98-87-3>
benzene<71-43-2>
benzenesulfonyl chloride<98-09-9>
benzenethiol<108-98-5>
benzldine< 92-87-5>
benz©(a)anthracene<56~55-3>
                         835

-------
                         Accession No.  6502000111
                  (cont)
b«nzo
benzole acid<65-85-0>
ben2onitrlle<100-47-0>
benzotrichloride<98-07-7>
benzoyl chloride<98-88-4>
benzyl chloride<10Q-44-7>
beryllium chloride<7787-47-5>
beryllium -dust
beryllium fluoride<7787-49-7>
beryllium nitrate<13597-99-4>
beryllium<7440-41-7>
bhc (lindane)~gafflffla<58-89-9>
bhc^alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
biphenyl<92-52-4>
bis(2-chloroethoxy)raethane
bis(2-chloroethyl)ether
bis(2-chloroisopropyl) ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis(chloromethyl)ether<542-88-l>
bisauth compounds<7440-69-9>
boron compounds<7440-42-8>
broil ine<7726-95-6>
broBoacetone<598-31-2>
broiBobenzene<108-86-l>
bromochlor ob enzene<2 8906-3 8~9>
broraodichlororaethane<75-27-4>
bronomethane<74-83>9>
bruclne<357^57-3>
bu tachlor< 23 1 84-66-9>
butyl acetate<123-86-4>
butyl benzyl phthalate<85-68-7>
butylamine<109-73-9>
butyric acid<107-92-6>
cacodylic acid and salts<75-60-5>
cadmium acetate<543-90-8>
cadmium btomide<7789-42-6>
cadmium chloride
cadBium<7440-43-9>
calcium arsenate<7778-44-l>
calcium arsenite<52740-16-6>
calcium carbide< 75-20- 7>
calcium chroma te<137 65-1 9-0>
calcium cyanide<592-01r-8>
calcium dodecylbenzeneaulfonate
   <26264-06-2>
calcium hydroxide<1305-62-0>
calcium hypochlorite<7778-54-3>
calcium oxlde<1305-78-8>
captan<133-06-2>
carbaryl<63-25-2>
carbofuran<1563-66-2>
carbon disulfide<75-15-0>
carbon monoxlde<630-08-0>
carbon tetrachloride<56-23-5>
carbony1 fluoride<353-50-4>
chloral<75-87-6>
chlorambucil<305-03-3>
chloraniK 118-75- 2>
ehlordan«<57-74-9>
chlorinated naphthalenes
chlorine<7782-50-5>
chloroacetaldehyde<107-20-0>
chlorobeuzene<108-90-7>
chlorobenzilate<510-15-6>
chlorodibromomethane<124-48-l>
chloroethane<75-00-3>
chloroethene<75-01-4>
chloroethyl vinyl ether<110-75-8>
chlorofluorocarbons
chloroform<67-66-3>
chloromethane<74-87-3>            ;
chloronethyl methyl ether
   <107-30-2>
chloroprene<126-99-8>
chlorosulfonlc acid<7790~94-5>
chlorpyrifos<2921-88-2>
chronic acetate<1066-30-4>
chromic acid<7738-94-5>
chromic sulfate<10101-53-8>
chromiu«<7440-47-3>
chromous chloride<10049-05-5>
chrysene<218-01-9>
cis-l,2-dlchloroethylene<156-59-2>
coal tar<8007-45-2>
cobalt<7440-48-4>
cobaltous broraide<7789-43-7>
cobaltous foraiate<544-18-3>
cobaltous sulfamate
copper cyanide<544-92-3>
copper<7440-50-8>
couaaphos<56-72-4>
creosote<8021-39-4>
cresol<1319-77-3>
cresylic acid<1319-77--3>
crotonaldehyde<4170-30-3>
cumene<98-82-8>
cupric acetate<142-71-2>
cuprlc acetoarsenite<12002-03-8>
cupric chloride<7447-39-4>
                         836

-------
                         Accession No.  6502000111
                  (cont)
cupric nitrate<3251-23-8>
cuprlc oxalate<814-91-5>
cupric sulfate ammoniated
   <10380-29-7>
cupric sulfate<7758-98-7>
cupric tartrate<815-82-7>
cyanazine<21725-46-2>
cyanide<57-12-5>
cyanogen bronide<506-68-3>
cyanogen chloride<506-77-4>
cyanogen<460-19-5>
cyclohexane<110-82-7>
cyclohexanone<108-94-l>
cyclophosphamide<50-18-0>
daunonycin<20830-81-3>
ddd(tde)
ddt
deraeton<8065-48-3>
di-isopropylf1uorophosphate
   <55-91-4>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
di-n-propyinitrosamine<621-64-7>
dialkyl ethers
dialkyl phosphates
diallate<2303-16-4>
diazlnon<333-41-5>
dlbenzofa*h)anthracene<53-70-3>
dibenzofuran<132-64-9>
dibenzolCa^i)pyrene
dibroraochloromethane<124-48-l>
dibromomethane<74-95-3>
dibutyl phthalate<84-74-2>
dicaiaba<1918-00-9>
dichlobenil<1194-65-6>
dlchlone<117-80-6>
dichlorobenzene<25321-22-6>
dichlorobrononethane<75-27-4>
dichlorodifluoromethane<75-71-8>
dichloroiodome thane<594-04-7>
dichloroBethanc<75-09-2>
dichlorophenylarsine<696-28-6>
dlchloropropane<26638-19-7>
dichloropropene-dichloropropane
   mixture
dichloropropene<26952-23-8>
dlchlorvos (ddvp)<62-73^7>
dieldrin<60-57-l>
dlepoxybutane
diethyl phthalate<84-66-2>
diethylamine<109-89-7>
diethylarsine
diethylstilbestrol<56-53-l>
dihydrosafrole<94-58-6>
diaethoate<60-51-5>
dimethyl phthalate<131-ll-3>
dlnethyl sulfate<77-78-l>
dlBethylaraine<124-40-3>
dieethylcarbamoyl chloride
   <79-44-7>
dimethylnitrosaraine<62-?5-9>
dinitrobenzene<25154-54-5>
dinitrophenol
dlnitrotoluene<25321-14-6>
dioxane
dioxin<828-00-2>
diphenyl ether
diphenylhydrazine<38622-18-3>
dipropylanine<142-84-7>
diquat<2764-72-9>
disulfoton<298-04-4>
diuron<330-54-l>
dodecylbenzenesulfonic acid
   <27176-87-0>
ebdc's (ethylenebisdithlocarbaoate
   s)
edta<60-00-4>
endosulfan sulfate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulfan-beta<332!3-65-9>
endosulfan
endrin aldehyde<7421-93-4>
endrin<72-20-8>
epichlorohydrin<106-89-8>
epn (ethyl-p-nitrophenyl thionoben
   zenephosonate)<2104-64-5>
erbon<136-25-4>
ethion<563-12-2>
ethyl acetate<141-78-6>
ethyl acrylate<140-88-5>
ethyl chloride<75-00-3>
ethyl ether<60-29-7>
ethyl methacrylate<97-63-2>
ethyl aethanesulfonate< 62-50-0>
ethyl parathion<56-38-2>
ethylbenzene<100-41-4>
ethylcyanide<107-12-0>
ethylene bisdithiocarbamate
ethylene dibroaide (edb)<106-93-4>
ethylene dichlorlde<107-06-2>
ethylene oxlde<75-21-8>
ethylene thlourea<96-45-7>
ethylenedlareine<107-15-3>
ethylenel«lne<151-56-4>
                         837

-------
                         Accession No.  6502000111
                  (cont)
ferric ammonium citrate<1185-57-5>
ferric ammonium oxalate
   <14221-47-7>
ferric chloride<7705-08-0>
ferric cyanide
ferric fluor ide<77 83-50-8>
ferric nitrate<10421-48-4>
ferric sulfate<10028-22-5>
ferrous ammonium sulfate
   <10045-89-3>
ferrous chloride<7758-94-3>
ferrous sulfate<7720-78-7>
fluoranthene<206-44-0>
fluorene<86-73-7>
fluorides
fluorine<7782-41-4>
fluoroacetic acid/ sodium salt
fluorotrichlororaethane<75-69-4>
forfflaldehyde<50-00-0>
fornic acid<64-l8-6>
furaaric acld<110-17-8>
furan<110-00-9>
furfural<98-01-l>
glycidylaldehyde
gross alpha
guthion<86-50-0>
heptachlor epoxide<1024-57*3>
heptaehlor<76-44-8>
hexachlorobenzene<118-74-l>
hexachlorobutadiene<87-68-3>
hexachlorocyclohexane<58-89-9>
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67«-72-l>
hexachlorophene<70-30-4>
hexachloropropene<1888-71-7>
hexaethyl tetraphosphate<757-58-4>
hydrazine<302-01-2>
hydrocarbons
hydrochloric acid<7647-01-0>
hydrocyanic acid<74-90-8>
hydrofluoric acid<7664-39-3>
hydrogen cyanide<74-90-8>
hydrogen sulfide<7783-06-4>
hydroxydlnethyl arsine oxide
   <7S-60-5>
indeno (1/2,3-cd)pyrene<193-39-5>
iodomethane<74-88-4>
iron and compounds<7439-89-6>
iron dextran<9004-66-4>
isobutyl alcohol<78-83-l>
isocyanic acid, methyl ester
   <624-83-9>
isophorone<78-59-l>
isoprene<78-79-5>
isopropanolamlne dodecylbenzene
   sulfonate<54590-52-2>
isosafrole<120-58-l>
lcelthane
kepone<143-50-0>
laslocarpine<303-34-4>
lead acetate<301-04-2>
lead arscnate<3687-31-8>
lead chloride<7758-95-4>
lead fluoride<7783-46-2>
lead fIuoroborate<13814-96-5*
lead iodide<10101-63-0>
lead nitrate<10099-74-8>
lead phosphate<7446-27-7>
lead stearate<1072-35-l>
lead subacetate<1335-32-6>
lead sulfate<7446-14-2>
lead suliide<1314-87-0>
lead thiocyanate<592-87-0>
lead<7439-92-l>
lindane<58-89-9>
lithium and eoapounds<7439-93~2>
lithiuB chromate<14307-35-8>
m-cresol<108-39-4>
n-xylene<108-38-3>
@alathion<121-75-5>
aaleic acid<110-16-7>
maleic anhydride<108-31-6>
oaleic hydrazlde<123-33-l>
malononitrile<109-77-3>
manganese<7439-96-5>
mannade beta
•ate
melphalan<148-82-3>
mcrcaptodlniethur<2032-65-7>
mercuric cyanlde<592-04-l>
mercuric nitrate<10045-94-0)
mercuric sulfate<7783-35-9>
mercuric thiocyanate<592-85-8>
mercurous nitrate<10415-75-5>
mercury fulminate<628-86-4>
mercury<7439-97-6>
methanearsonates
methanethlol<74-93-l>
Bethanol<67-56-l>
methapyrllene<91-80*5>
nethomy1<16752-T?^5>
methojtychlor<72-43-5>
methyacrylonltrlle<126-98-7>
methyl chlorocarbonate<79-22*l>
                         838

-------
                         Accession Mo»  6502000111
                  (cont)
methyl chloroforra<71-55-6>
methyl ethyl ketone (nekK78-93-3>
methyl ethyl ketone peroxide
   <1338-23~4>
methyl hydrazine<60-34«4>
methyl iodide<74~88-4>
methyl isobutyl ketone<108-10-i>
methyl m@rcaptan<74-93-i>
methyl roethacryiate<80-62-6>
raethyl parathlon<298-00-0>
tnethyithiouracil<56-04-2>
me vdnp hos< 77 86-3 4-7>
Kexacarbate<31i-18-4>
microbiology coliforra bacteria
rairex«2385-85-5>
molybdenum and compounds
   <7439-98-7>
monaethylamine<75-»04-7>
monoraethylaraine<74-89-5>
monuroiK 150-68-5>
n^n-bls(2-chloroethyl)-2-naphthyla
   aiine<494-03-l>
n-alkanes clO-c30
n-butyl alcohol<71-36-3>
n-butyl Phthalate<84-74-2>
n-methyl-n'-nitro-n-nitrosoguanidi
   ne<70-25-7>
n-nitroso-n~ethylurea<759-73-9>
n*nitroso-n-fflethylurea<684-93-5>
n-nitroso-n-raethylurethane
   <615-53-2>
n-nltrosodi-n-butylaraine<924-l6-3>
n-nitrosodi~n-propylaraine
   <621»64-7>
n-nitrosodiethanolamine<1116-54«7>
n-nitrosodiethylamine<55-18-5>
n-nitrosodiraethylaBine<62-75-9>
n-nitrosodiphenylamine<86-30-6>
n-nltrosomethylvinylamine
n°nitrosopiperidine<100-75-4>
n-nltrosopyrrolidine<930-55-2>
n-phenylthiourea<103-85-5>
n-propylaraine<107-10-8>
naled<300-76-5>
naphthalene<91-20-3>
naphthenic acid<1338-24-5>
nickel ammonium sul£ate<7785-20-8>
nickel carbonyl<12612~5S-4>
nickel chloride<7718-54-9>
nickel cyanide<557^19-7>
nickel hydroxide<12054-48-7>
nickel nitrate<13138-45-9>
nickel sulfate<7786-81-4>
nickel<7440»02-0>
nicotine and salts<54-ll-5>
nit ralinc 4726-1 4-l>
nltrate
nitrates/nitrites
nitric acid<7697-37-2>
nitric ©xide<10102-43-9>
nitri loacetates
nitrobenzeneC 98-95»3>
nitrogen dioxide<10102-44-0>
nitrogen peroxide<10102-44-0>
nitrogen tetroxide<10544-72-6>
nitroglycerine<55-63-0>
nitrophenol<25154-55-6>
nitr©sofflethylurea<684-93-5>
nitrosofflorphollne<59-89-2>
nitrotoluene
nonaphthalene
o-cr©sol<95-48-7>
o-ffiethoxyphenol<90-05-l>
o>toluidine hydrochloride
   <636-21-5>
o-xyl@n«<95-47-6>
octanethylpyrophosphoramide (QtiP£>
   <152-16-9>
oil and grease
oleyl alcohol condensed with 2
   raoles ethyl ene oxide
osmiuia tetroxide<20816-12-0>
Ozone
p-chloro-ffl-cresol<59-50-7>
p-chloroaniline<106-47-8>
p-cresol<106-44-5>
p»dichlorobenzene<106-46-7>
p*diffiethylaBlnoazobenzene<60«*ll-7>
P-nitroaniline<100-01-6>
p»xylene<106-42~3>
parafori&aldehyde<30525-89~4>
paraldehyde<123*»63*7>
paraquat<4685-14-7>
parathion<56-38-2>
pcb-1016 Carochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochior 1232)
pcb-1242 (arochior 1242)
   <53469-21-9>
pcb-1248 (arochior 1248)
   <12672-29-6>
                         839

-------
                         Accession No.  6502000111
                  (cent)
pcb-1254 {arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorobenzene<608-93~5>
pentachloroethane<76-01-7>
pentachloronltrobenzene CPCNB)
   <82-68-8>
pentachlorophenol<87-86-S>
perchloroethylene< 127->18-4>
perthane<72-56-0>
phenacetin<62-44-2>
phenanthrene<85-01~8>
phenarsazine chlorid«<578-94-9>
phenol<108-95-2>
phenyl dlchloroarsine<696-28-6>
phenylacetic acid<103-82-2>
phenylmercury acetate<62-38-4>
phorate 298-0202
phorate<298-02-2>
phosgene<75-44-5>
phosophorothloic acid/o/o-
   dlwethyl ester/o-ester with n,
   n-d Ine t hy Ib en z ene
phosphine<7803-51-2>
phosphoric acid<7664-38-2>
phosphorus and compounds
   <7723-14-0>
phosphorus oxychloride<10025-87-3>
phosphorus pentasulfide<1314-80-3>
phosphorus sul£ide<13l4-80-3>
phosphorus trlchloride<7719-12-2>
phosphorus<7723-14-0>
photon emitters
phthallc acid<88-99-3>
phthallc anhydride<85-44-9>
plperonyl butoaide<51-03-6>
polybrofflinated biphenyls (PBBs)
polychlorinated biphenyls (PCBs)
potassium arsenate<7784-41-0>
potassium arsenite<10124-50-2>
potassium bichromate<7778-50-9>
potassium chroroate<7789-00-6>
potassium cyanlde<151-50-8>
potassium hydroxide<1310-58-3>
potassium perraanganate<7722-64-7>
potassium silver cyanide<506-61-6>
pronamide<23950-58-5>
propachlor<1918-!6-7>
propanil<109-98-8>
propargite<2312-35-8>
propionic acid<79-09-4>
propionic anhydride<123»62-6>
propionitrile<107-12-0>
proplyene oxide<75-56-9>
propoxur<114-26-l>
propylene oxide<75-56-9>
pyrene<129-00-0>
pyrethrin<121-29-9>
pyridlne<110-86-l>
quinoline<91-22-5>
guinones
radiun 226<13982-63-3>
radium 228<15262-20-1>
radon<10043-92-2>
reserpine<50-55-5>
resorcinol<108-46-3>
ronnel<299-84-3>
rotenone<83-79-4>
s,sys-tributyl phosphorotrithioate
   <78-48-8>
saccharin<81-07-2>
safrole<94-S9-7>
secondary amines
selenious acid<7783-00-8>
selenium oxide<12640-89-0>
selenium sulf ide<7446-34-6>
seleniun<7782-49-2>
selenourea<630-10-4>
silver cyanide<506-64-9>
silver nitrate<7761-88-8>
silver<7440-22-4>
silvex<93-72-l>
slma2ine<122-34-9>
sodium and conpounds<7440-23-5>
sodium arsenate<7631-89-2>
sodium arsenite<7784-46-5>
sodium azide<26628-22-8>
sodium bichromate<10S88-01-9>
sodium bifluoride<1333-83-l>
sodium bisulfite<7631-90-5>
sodium chromate<7775-ll-3>
sodium cyanide<143-33-9>
sodium dodecylbenzenesulfonate
   <25155-30-0>
sodium fluoride<7681-49-4>
sodium fluoroacetate (1080)
   <62-74-8>
sodium hydrosulfide<16721-80-5>
sodium hydroxide<1310-73-2>
sodium hypochlorlte<7681-52-9>
sodium methylate
sodium nitrlte<7632-00-0>
                         840

-------
                         Accession No.  6502000111
                  (cont)
sodium phosphate, dibasic
   <7558-79-4>
sodium phosphate* tribaslc
   <7601-54-9>
sodium selenite<10102-18-8>
sodium<7440-23-5>
streptozotocin
strobane<8001-50-l>
strontium chromate<7789-06-2>
strontium sulf ide<1314-96-l>
strychine<57-24-9>
strychnine<57-24-9>
styrene<100-42-5>
sulfates
sulfides
sulfonaside
sulfur dioxide<7446-09-5>
sulfur monochloride<10025~67~9>
sulfuric acid<7664-93-9>
tde<72-54-8>
terpenes
tetrachloroethene<127-18-4>
tetrachloroethylene<127~18-4>
tetrachloromethane<56-23-5>
tetraethyl dithiopyrophosphate
   <3689-24-5>
tetraethyl lead<78-00-2>
tetraethyl pyrophosphate<107-49-3>
tetrahydofuran<109-99-9>
tetranitroraethane<509-14-8>
thallic oxide<1314-32-5>
thallium acetate<563-68-8>
thallium carbonate<29809-42-5>
thallium chloride<7791-12-0>
thallium nitrate<10102-45-l>
thallium selenite
thallium sulfate<7446-18-6>
thailium<7440-28-0>
thioacetaraide<62-55-5>
thiophanate methyl<23564-05-8>
thiosemicarbazlde<79-19-6>
thiourea<62-56-6>
thiuram<137-26-8>
toluene diisocyanate<26471-62-5>
toluene<108-88-3>
toluenedlamine<25376-45-8>
total reduced sulphur
total suspended particulates
tox3phene<8001-35-2>
trlallate<2303-17-5>
tribromomethane<75-25-2>
trichlorfon<52-68-6>
trichloroethane<25323-89-l>
trichloroethene<79-01-6>
trichloroethylene<79-01-6>
trichlorofluoromethane<75-69-4>
trichloromethanethiol<75-70-7>
trlchlorophenol (TCP)<25167-82-2>
triethanolamine dodecylbenzenesulf
   onate<27323-41-7>
trlethylaraine<121-44-8>
trifluraline (tref lan)<1582-09-8>
trimethylamine<75-50-3>
trinitrobenzene<99-35-4>
tris( 1g 3- dibrooopropyl) phosphate
   <126-72-7>
trypan blue<72-57-l>
trysben<50-31-r7>
turbidity
uracil mustard<66-75-l>
uraniuffi<7440-61-l>
uranyl acetate<541-09-3>
uranyl nitrate<10102-06-4>
urcthane<51-79-6>
vanadic acid, ammonium salt
vanadium pentoxide<13l4-62-l>
vanadium<7440-62-2>
vanadyl sulfate<27774-13-6>
vinyl acetate<108-05-4>
vinyl chloride<75-01-4>
vinylidenc chloride<75-35-4>
xylene
xylenol<1300-71-6>
zinc acetate<557*34-6>
zinc anaonium chloride
zinc borate<1332-07-6>
zinc broffiide<7699-45-8>
zinc carbonate<3486-35-9>
zinc chloride<7646-85-7>
zinc cyanide
zinc f luorlde<7783-49-5>
zinc formate<557-41-5>
zinc hydrosulfite<7779-86-4>
zinc nitrate<7779-88-6>
zinc phenol sulfonate<127-82-2>
Zinc phosphide< 1314- 84-7>
zinc silicofluoride<16871^71^9>
zinc sulfate<7733-02-0>
zinc<7440-66-6>
zirconium nltrate<13746-89-9>
zirconium potassium fluoride
   <16923-9S-8>
zirconium sulfate<14644-61-2>
                         841

-------
                             Accession No.  6502000111     (cent)

    zirconium tetrachlorJ.de
       <10026-ll-6>
(CAS)  CAS registry numbers of substances included in data base: 311-45*
    5} 630-20-6; 71-55-6; 79-34-5;    79-00-5; 79-01-6; 75-34-3;
    75-35-41 57-14-7; 79-01-6; 95-94-3;   96-12-8; 106-93-4; 95-50-1;
    107-06-2; 78-87-5; 1615-80-1; 540-73-8;   122-66-7; 57*55-6;
    156-60-5; 120-82-1; 541-73-1; 542-75-6; 542-75-6;       504-60-9;
    1120-71-4; 110-57-6; 106-46-7; 123-91-1; 130-15-4;     5344-82-1;
    106-89-8; 86-88-4; 134-32-7; 75-99-0; 58-90-2; 95-95-4;    93-76-5;
    93-72-1; 88-06-2; 94-75-7; 120-83-2; 94-75-7; 105-67-9;
    51-28-5; 121-14-2; 541-53-7; 87-65-0; 606-20-2; 1338-23-4;
    110-75-8;       91-58-7; 95-57-8; 131-89-5; 640-19-7; 80-62-6;
    75-55-8; 75-86-5;      91-59-8; 88-75-5; 79-46-9; 109-06-8;
    107-19-7; 88-85-7; 91-94-1;      119-90-4; 119-93-7; 205-99-2;
    542-76-7; 56-49-5; 72-55-9? 50-29-3;    101^14-4; 534-52-1;
    504-24-5; 101r5S-3; 316S-93-3; 7005-72-3;    100-02-7; 2763-96-4;
    99-55-8; 145-73-3; 83-32-9; 208-96-8; 75-07-0;   64-19-7; 108-24-7;
    75-86-5; 67-64-1; 75-05-8; 98-86-2; 506-96-7;      75-36-5;
    107-02-8; 79-06-1; 79-10-7; 107-13-1; 124-04-9; 15972-60-8;
    309-00-2; 107-18-6; 107-05-1; 80-15-9; 122-09-8; 100-44*7;
    20859-73-8; 10043-01*3; 7429-90-5; 33089-61-1; 61-82-5; 7664-41-7;
    631-61*8; 1863-63-4; 1066-33-7; 7789-09-5; 1341-49-7; 10192-30-0;
    1111-78-01 506-87-6; 12125-02-9; 7788-98-9; 7632-50-0; 13826-83-0;
    12125-01-8; 1336-21-6; 1113-38-8; 131-74-8; 16919-19-0; 7773-06-0;
    12135-76-1; 10196-04-0; 3164-29-2; 1762-95-4; 7783-18-8; 628-63-7;
    62-53-3; 120-12-7; 7647-18-9; 11071-15-1; 7789-61-9; 10025-91-9;
    7783-56-4; 1309-64-4; 7440-36-0; 140-57*8; 1327*52-2; 1303-32-8;
    1303-28-2; 7784-34-1; 1327-53-3; 1303-33-9; 7440-38-2; 1332-21-4;
    1912-24-9; 2465-27-2; 115-02-6; 1918-00-9; 542-62-1; 7440-39-3;
    i861-40-l| 17804-35-2; 225-51-4; 98-87-3; 71-43-2; 98-09-9;
    1S8-98-S;      92-87-5; 56-55-3; 50-32-8; 191-24-2; 207*08-9;
    65-85-0; 100-47-0;     98-07-7; 98-88-4; 100-44-7; 7787-47-5;
    1787-49-7; 13597*99-4;    7440-41-7; 58-89-9; 319-84-6; 319-85-7;
    319-86-8; 92-52-4; 111-91-ri;       111-44-4; 39638-32-9; 117-81-7;
    542-88-1* 7440-69-9; 7440-42-8;       7726-95-6; 598-31-2;
    108-86-1; 28906-38-9; 75-27*4; 74-83-9;     357-57*3; 23184-66-9;
    123-86-4; 85-68-7; 109-73-9; 107-92-6; 75-60-5;      543-90-8;
    7789-42-6; 7440-43-9; 7778-44-1; 52740-16-6; 75-20-7;
    13765-19*0; 592-01-8; 26264-06-2; 1305-62-0; 7778-54-3; 1305-78-8;
    133-06-2; 63-25-2; 1563-66-2; 7S-1S-0; 630-08-0; 56-23-5; 353-50-4;
    75-87-6; 305-03-3; 118-75-2; 57-74-9; 7782-50-5; 107-20-0;
    108-90-7;       510-15-6; 124-48-1; 75-00-3; 75-01*4; 110-75-8;
    67*66-3; 74-87*3f     107*30-2; 126-99-8; 7790-94-5; 2921-88-2;
    1066-30-4; 7738-94-5;       10101-53-8; 7440-47-3; 10049-05-5;
    218-01-9; 156-59-2; 8007*45-2;     7440-48-4; 7789-43-7; 544-18-3;
    544-92-3; 7440-50-8; 56-72-4;    8021-39-4; 1319-77*3; 1319-77*3;
    4170-30-3; 98-82-8; 142-71-2;   12002-03-8; 7447-39-4; 3251--23-8;
    814-91-5; 10380-29-7; 7758-98-7;    815-82-7; 21725-46-2; 57-12-5;
    506-68-3; 506-77-4; 460-19-S;     110-82-7; 108-94-1; 50-18-0;
    20830-81-3; 8065-48-3; 55-91-4; 84-74-2;      117-84-0; 621*64-7;
    2303-16-4; 333-41-5; 53-70-3; 132-64-9; 189-55-9;      124*48-1;
    14-95-3; 84-74-2; 1918-00-9; 1194-65-6; 117-80-6;      25321*22-6;


                             842

-------
                         Accession No.  6502000111     (cont)

75-27-4; 75-71-8; 594-04-7? 75-09-2; 696-28-6;       26638-19-7;
26952-23-8; 62-73-7; 60-57-1; 1464-53-5; 84-66-2;    109-89-7;
56-53-1; 94-58-6; 60-51-5; 131-11-3; 77-78-1; 124-40-3;
79-44-7; 62-75-9; 25154-54-5; 25321-14-6; 123-91-1; 828-00-2;
38622-18-3; 142-84-7; 2764-72-9; 298-04-4; 330-54-1; 27176-87-0;
60-00-4; 1031-07-8; 959-98-8; 33213-65-9; 115-29-7; 7421-93-4;
72-20-8; 106-89-8; 2104-64-5; 136-25-4; 563-12-2; 141-78-6;
140-88-5;      75-00-3; 60-29-7; 97-63-2; 62-50-0; 56-38-2;
100-41-4; 107-12-0;      106-93-4; 107-06-2; 75-21-8; 96-45-7;
107-15-3; 151-56-4; 1185-57-5;       14221-47-7; 7705-08-0;
7783-50-8; 10421-48-4; 10028-22-5; 10045-89-3;      7758-94-3;
7720-78-7; 206-44-0; 86-73-7; 7782-41-4; 75-69-4; 50-00-0;
64-18-6; 110-17-8; 110-00-9; 98-01-1; 86-50-0; 1024-57-3; 76-44-8;
118-74-1; 87*68-3; 58-89-9; 77-47-4; 67*72-1; 70-30-4; 1888-71-7;
757-58-4; 302-01^2; 7647-01-0; 74-90-8; 7664-39-3; 74-90-8;
7783-06-4; 75-60-5; 193-39-5; 74-88-4; 7439-89-6; 9004-66-4;
78-83-1;      624-83-9; 78-59-1; 78-79-5; 54590-52-2; 120-58-1;
115-32-2; 143-50-0;      303-34-4; 301-04-2; 3687-31-8; 7758-95-4;
7783-46-2; 13814-96-5;      10101-63-0; 10099-74-8; 7446-27-7;
1072-35-1; 1335-32-6; 7446-14-2;   1314-87-0; 592-87-0; 7439-92-1;
58-89-9; 7439-93-2; 14307-35-8;       108-39-4; 108-38-3; 121-75-5;
110-16-7; 108-31-6; 123-33-1; 109-77-3;      7439-96-5; 148-82-3;
2032-65-7; 592-04-1; 10045-94-0; 7783-35-9;      592-85-8;
10415-75-5; 628-86-4; 7439-97*6; 74-93-1; 67-S6-1; 91-80-5;
16752-77-5; 72^43-5; 126-98-7; 79-22-1; 71-55-6; 78-93-3;
1338-23-4;       60-34-4; 74-88-4; 108-10-1; 74-93-1; 80-62-6;
298-00-0; 56-04-2;      7786-34-7; 315-18-4; 2385-85-5; 7439-98-7;
7S-04-7; 74-89-5;     150-68-5; 494-03-1; 71-36-3; 84-74-2;
70-25-7; 759-73-9; 684-93-5;    615-53-2; 924-16-3; 621-64-7;
1116-54-7; 55-18-5; 62-75-9; 86-30-6;   100-75-4; 930-55-2;
103-85-5; 107-10-8; 300-76-5; 91-20-3; 1338-24-5;      7785-20-8;
12612-55-4; 7718-54-9; 557-19-7; 12054-48-7; 13138-45-9;
7786-81-4; 7440-02-0; 54-11-5; 4726-14-1; 14797-55-8; 7697-37-2;
10102-43-9; 98-95-3; 10102-44-0; 10102-44-0; 10544-72-6; 55-63-0;
25154-55-6; 684-93-5; 59-89-2; 95-48-7; 90-05-1; 636-21-5; 95-47-6;
152-16-9; 20816-12-0; 10028-15-6; 59-50-7; 106-47-8; 106-44-5;
106-46-7; 60-11-7; 100-01-6; 106-42-3; 30525-89-4; 123-63-7;
4685-14-7; 56-38-2; 12674-11-2; 11104-28-2; 11141-16-5; 53469-21-9;
12672-29-6; 11097-69-1; 11096-82-5; 608-93-5; 76-01-7; 82-68-8;
87-86-5; 127-18-4; 72-56-0; 62-44-2; 85-01-8; 578-94-9; 108-95-2;
696-28-6; 103-82-2; 62-38-4; 298-02-2; 75-44-5; 7803-51-2;
7664-38-2;      7723-14-0; 10025-87-3; 1314-80-3; 1314-80-3;
7719-12-2; 7723-14-0;    88-99-3; 85-44-9; 51-03-6; 7784-41-0;
10124-50-2; 7778-50-9;     7789-^00-6; 151-50-8; 1310-58-3;
7722-64-7; 506-61-6; 23950-58-5;      1918-16-7; 109-98-8;
2312-35-8; 79-09-4; 123-62-6; 107^12-0; 75-56-9;      114-26-1;
7S-56-9; 129-00-0; 121-29-9; 110-86-1; 91-22-5; 13982-63-3;
15262-20-1; 10043-92-2; 50-55-5; 108-46-3; 299-84-3; 83-79-4;
78-48-8; 81-07-2; 94-59-7; 7783-00-8; 12640-89-0; 7446-34-6;
7782-49-2; 630-10-4; 506-64-9; 7761-88-8; 7440-22-4; 93-72-1;
122-34-9; 7440-23-5; 7631-89-2; 7784-46-5; 26628-22-8; 10588-01-9;
1333-83-1; 7631-90-5; 7775-11-3; 143-33-9; 25155-30-0; 7681-49-4;


                         843

-------
                             Accession No.  6502000111     (cent)

    62-74-8* 16721-80-5; 1310-73-2; 7681-52-9; 124-41-4; 7632-00-0;
    7558-79-4; 7601-54-9; 10102-18-8; 7440-23-5; 8001-50-1; 7789-06-2;
    1314-96-1; 57-24-9; 57-24-9; 100-42-5; 7446-09-5; 10025^67-9;
    7664-93-9; 72-54-8; 127-18-4; 127^18-4; 56-23-5; 3689-24-5;
    78-00-2;       107-49-3; 109-99-9; 509-14-8; 1314-32-5; 563-68-8;
    29809-42-5;   7791-12-0; 10102-45-1; 7446-18-6; 7440-28-0; 62-55-5;
    23564-05-8;     79-19-6; 62-56-6; 137-26-8; 26471-62-5; 108-88-3;
    25376-45-8;    8001-35-2; 2303-17-5; 75-25-2; 52-68-6; 25323-89-1;
    79-01-6; 79-01-6;      75-69-4; 75-70-7; 25167^82-2; 27323-41-7;
    121-44-8; 1582-09-8;   75-50-3; 99-35-4; 126-72-7; 72-57-1;
    50-31-7; 66-75-1; 7440-61-1;     541-09-3; 10102-06-4; 51-79-6;
    11115-67^6; 1314-62-1; 7440-62-2;      27774-13-6; 108-05-4;
    75-01-4; 75-35-4; 1330-20-7; 1300-71-6;    557-34-6; 1332-07^6;
    7699-45-8; 3486-35-9; 7646-85-7; 7783-49-5;      557-41-5;
    7779-86-4; 7779-88-6; 127482-2; 1314-84-7; 16871-71-9;
    7733-02-0; 7440-66-6; 13746-89-9; 16923-95-8; 14644-61-2;
    10026-11-6
(CNM)  Contact nane(s): He Her, S. ;    Heller,S. ;    Heller,S.
(ROR)  Responsible Organization: Office of Research and
    Development.Offlee of Health Research.Health Effects Search La
                             844

-------
                             Accession No.   6503000108

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Health Effects Research
    Laboratory-Cincinnati, OH Aggregate
(ACR)  Acronym of Data Base  or Model:  HERL-CIN
(MED)  Media/Subject of Data Base or Model:  Drinking water ;Effluents
    industrial, publicly owned treatment works ;  Emissions  water
    reclamation plant ;Solid Haste  ^Surface water lakes,  reservoirs,
    coastal. Influent Tissue humans, animals ;Qther mortality rates,
    cancer rates
CABS)  Abstract/overview of  Data Base  or Model:  HERL Cincinnati's
    project files cover nore than 300  research     projects.  Over
    one-third of these include environmental measurement  data.
    Individual     project data is  reported in published  reports and
    sometimes incorporated in     automated data bases  maintained  by
    other laboratories.  This summary   covers the    environmental
    measurement data only.
(CTC)  CONTACTS: Subject matter   varies by project;
    Computer-related  varies by project
(DTP)  Type of data collection or monitoring: Point source data
    collection water supplies and mammals (primarily)
(STA)  Data Base status: Discontinued
(NPP)  Non-pollutant parameters included in the data base: Biological
    data ^Chemical data ^Collection method ;Concentration measures }
    Exposure data ;Geographic subdivision ^Health effects ;Location }
    Physical data ^Political subdivisions population demographics }
    population density ;Sampling date  ;Test/analysis method
    jepldemiological
(DS)  Time period covered by data base: 07-01-71 TO 09-30-61
(TRM)  Termination of data collection: Not anticipated
(PRO)  Frequency of data collection or sampling:  Other  varies by
    individual project from  very short term observa-  tions to those
    requiring several years.
(NOB)  Number of observations in data  base: 50000 or BOre.(Estimated)
(NEI)  Estimated annual increase of observations in data  base: (unknown.
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or  sources covered in data base: 3000
    (or more.)
(NCS)  No. stations or sources currently originating/contributing  data:
    103 (or more.)
(NOF)  Number of facilities  covered in data base (source  monitoring): 18
    4 (or more.)
(GEO)  Geographic coverage of data  base: Geographic region varies  by
    project
(LOC)  Data elements identifying location of station or source include;
    varies by project
(FAC)  Data elements identifying facility include: varies by  project
(CDE)  Pollutant identification data are: Other coding  scheme
    Uncoded
(LIM)  Limitation/variation  in data of which user should  be aware: Data
    base includes more than  ISO studies each with difference
    parameters/ area, period, and protocols.  Quality assurance aspects


                             845

-------
                             Accession No.   6503000108     (cont)

    of     data.
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit is satisfactory for varies by project.
(PRB)  Precision: Precision and accuracy estimates partially exist for
    varies by project Edit varies by project.
(CBY)  Data collected by: EPA lab Health Effects Research
    Lab-Cincinnati, OH (31%) ^Contractor lab various Contractor various
    (24%) ;various grantees (25%) and cooperative agreements (20%)
(ABY)  Data analyzed by: EPA lab Health Effects Research
    Lab-Cincinnati, OH (31%)
    Contractor lab various
    Contractor various (24%)
    grantees (25%) and cooperative agreements (20%)
(IDL)  Laboratory identification: YES
(PR2)  Secondary purpose of data collection: Trend assessment
(AUT)  Authorization for data collection: No statutory requirenent:
    Data collection requirement is    usually not—varies by project
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Fora of available reports and outputs of data base:  Published in
    open scientific literature as project     summaries and reports and
    various unpublished reports.
(NUS)  Number of regular users of data base: 100 or nore
(USR)  Current regular users of data base:  EPA headquarter offices
    office of Toxic Substances, Office of Water   and Haste Management
    EPA laboratories
    Other federal agencies
    universities
(CNF)  Confidentiality of data and limits on access: Limits on access
    within EPA and outside agency for some   data
(DLC)  Primary physical location of data: principal Investigator
(DST)  Form of data storage: Original form (hardcopy, readings)
(DAC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Other varies by
    project
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    tfaterdrop D6404000110
(CMP)  Completion of form:
    James B. Lucas
    OFC: Health Effects Research Laboratory
    AD: U.S. EPA, 26 U. St. Clalr St., Cincinnati, OH  45268
    PH: (513) 684-7359
(DF)  Date of form completion: 02-07^83
(NHAT)  Number of substances represented in data base: 58
(NCAS)  Number of CAS registry numbers in data base: 19
(HAT)  Substances represented in data base:
    alkalinity                           asbestos<1332-21-4>
    aerosols                             bacteria
    alufflinum<7429-90-5>                  calcium
    arsenlc<7440-38-2>                   carbon
    artificial sweetners                 carbon raonoxide<630-08-0>


                             846

-------
                             Accession So*  6503000108     (cont)

    carcinogens                          sludge
    coal                                 strontiun<7440-24-6>
    coliforras                            sulfur
    conductivity                         teratogens
    diseases                             tin
    drinking uater contaminants          trace metals
    endotoxin                            viruses
    giardia                              uasteuater
    hardness                             barlum<7440-39-3>
    heavy metals                         benzene<71-43-2>
    hepatitis                            cadraium<7440-43-9>
    inorganics                           chlorine<7782-50-5>
    magnesium                            chloroform<67-<-66-3>
    methane                              copper<7440-50-8>
    nicroorganisBS                       fluorides
    Butagens                             formaldehyde<50-00-0>
    organics                             iron<7439-89-6>
    parasites                            lead<7439-92-l>
    pesticides                           nitrogen<7727*37-9>
    polyphosphates                       pH
    rddionuclides                        potassiun<7440-09-7>
    radium                               sodlua<7440-23-5>
    reclaimed uater                      styrene<100-42-5>
    silicon                              zinc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data base: 7429-90
    -5; 7440-38-2; 1332-21-4; 630-08-0;    7440-24-6; 7440-39-3;
    71-43-2; 7440-43-9; 7782-50-5; 67-66-3;    7440-50-8; 50-00-0;
    7439-89-6; 7439-92-1; 7727-37-9; 7440-09-7;       7440-23-5;
    100-42-5; 7440-66-6
CCNM)  Contact naroe(s): project,!*.;    project^N*
(COR)  Contact organization: Health Effects Research Lab-Cincinnati, OH
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Health Research.Toxicology & Microbiolog
                             847

-------
                             Accession No.   6606000506

(DQ)  Date of Questionalrc: 12-02-82
(HAM)  Name of Data Base of Model:  PRESTO
CACR)  Acronym of Data Base or Model: PRESTO
(NED)  Media/Subject of Data Base or Model:  Ground water >  runoff-
    water from waste burial

-------
                             Accession No.  6606000506     (cont)

              Uranium 238    <7440-61-1>
    Carbon 14 <14762-75-5>               Plutonium 238 <13981-16-3>
    Cesium 137    <100 45-97-3>           Plutoniun 239 <15117-48-3>
    Iodine 129 <15046-84-l>              Potassium <7440-09-7>
    Iodine 131 <10043-66-0>              Radiokrypton
    Krypton 85 <13983-27^2>              Radioxenon
    Tritium <10028-17-8>                 Radium 226 <13982-63-3>
    Uranium 234  <13966-29-5>            Strontium 89 <14158-27-l>
    Uranium 235 <15117*96-1>             Strontium 90 <10098-97-2>
(CAS)  CAS registry numbers of substances included in data base: 14798-0
    8-4; 14762-75-5; 10045-97-3;      15046-84-1; 10043-66-0;
    13983-27-2; 10028-17^8; 13966-29-5;      15117*96-1; 7440-61-1;
    13981-16-3; 15117-48-3; 7440-09-7; 13982-63-3;      14158-27-1;
    10098-97-2
(CNM)  Contact name(s): Broadway,J.  ;  Broadway,J.  ;  Broadway,*]*
(COR)  Contact organization: J. Broadway
(ROR)  Responsible Organization: Office of Air, Noise and
    Radiation.Office of Radiation Programs.Eastern Environmental
                             849

-------
                             Accession Mo.   6606000507


-------
                             Accession No.   6606000507     (cont)

(REP)  Fora of available reports and outputs of data base:  Unpublished
    reports Environmental Data Reports ;  on-line computer  terminal
(NUS)  Number of regular users of data base: 300
(USR)  Current regular users of data base:  EPA Headquarters Offices,
    Office of Radiation Programs
(CNF)  Confidentiality of data and Units on access; Hone
(DLC)  Primary physical location of data: EPA Lab
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: EPA Software System CAA, Hardnare PDF-I?45
(CHG)  Direct charge for non-EPA use: NO
(UPDT)  Frequency of data base master file up-date:  Monthly
(RSS)  Related EPA autoaated systems which use data  base: None
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    None
(ROB)  Non-EPA data bases used in conjunction with this data base: None
(CMP)  Completion of form: # J. Broaduayff QFC: EERF/ Montgomery,  AL
    36193f   AD: P.O. Box 3009, Montgomery, AL  36193*   PH: (205)
    272-34021
(DP)  Date of form completion: 01-13-83
(NMAT)  Number of substances represented in data base: 18
(NCAS)  Number of CAS registry numbers in data base: 0016
(MAT)  Substances represented in data bases
    Barium 140 <14798-08-4>              Uranium 238    <7440-61-1>
    Carbon 14 <14762-75-5>               Plutonium 238 <13981-16-3>
    Cesium 137    <10045-97-3>           Plutonium 239 <15117-48-3>
    Iodine 129 <15046-84-l>              Potassium <7440-09-7>
    Iodine 131 <10043-66-0>              Radlokrypton
    Krypton 85 <13983-27-2>              Radioxenon
    Tritium <10028-17-8>                 Radium 226  <13982-63-3>
    Oranlum 234  <13966-29-5>            Strontium 89 <14158-27-l>
    Oranium 235 <15117-96-l>             Strontium 90 <10098-97*2>
(CAS)  CAS registry numbers of substances included in data  base:  14798-0
    8-4; 14762-75-5; 10045-97-3;      15046-84-1; 10043-66-0;
    13983-27-2; 10028-17-8; 13966-29-5;      15117-96-1; 7440-61-1;
    13981-16-3; 15117-48-3; 7440-09-7; 13982-63-3;      14158-27-1J
    10098-97-2
(CNM)  Contact name(s): Broadway,J.  ;  Broadway,J.   ;  Porter,C.R.
(COR)  Contact organization: Eastern Environmental Radiation Facility
(ROR)  Responsible Organization: Office of Air, Noise and
    Radiation.Offlee of Radiation Programs-Eastern Environmental
                             851

-------
                             Accession Ho.   7103000901

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Chemical Substances  Information
    Network
(ACR)  Acronym of Data Base or Model:  CSIN
(MED)  Media/Subject of Data Base or Model: Other CSIN  to allow access
    to rcany kinds of existing resources    carrying data and
    information on all the media*
(ABS)  Abstract/Overview of Data Base  or Model:  CSIN provides a
    coordinated approach to the  identification*  location*  accessing*
    processing* and   analysis of data and  information  on eheaieal
    substances     and ho« they Impact humans and other compartments of
    the environment.  The HetMork allows and encourages user
    interaction with    data and information resources  which are
    geographically scattered and available  in systems which are
    Independent and autonomous for its computers and software selected.
    Most of the complex interfacing steps previously  required to make
    use of such computerized information resources have been   made
    transparent to the user*
(CTC)  CONTACTS: Subject natter Sidney Siegel  (202)382-2256;
    Computer-related     Dr. Sidney Siegel  (202)382-2256  }  EPA Office
    Office of CSIH   Administration (202)382-2256
(DTP)  type of data collection or monitoring: Combination/Other CSIN
    offers access to many data bases carrying  data & information from
    various sources.
(STA)  Data Base status: Operational Prototype fora*
(DPO)  Projected operational date of Data Base:  11-01-81
(GRP)  Groups of substances represented in  Data Base: 43 air priority
    chemicals }5 NESHAPS ?7 criteria IAAQS  ,3 HID CAA  *   18
    radioactive jnoise ^129 307 CBA ;11 conventional Hater ;41 CWA
    potential criteria ;    21 drinking water standards ;9 potential
    drinking water ;29 drinking water  monitoring >   299 hazardous
    substances >48 cancelled pesticides ;9  monitoring pesticides }
    54 TSCA assessment ;RCR& hazardous wastes >16 Pre-RPAR ;15 metals
(NPP)  Non-pollutant parameters included in the data base:  Biological
    data jCheraical data /Collection method  /Compliance  data ;
    Concentration measures >Cost/economic data ^Discharge points /
    Disposal ^Elevation ^Exposure data ;Flow rates ^Funding data }
    Geographic subdivision ^Health effects  ;Industry ^Inspection data ;
    Location }Manufacturer }Physical data ^Political subdivisions ;
    Population demographics |Population density ^Precipitation
    ^Production levels 1 Salinity jSampling date |Site  description
    ;Temperature >fest/analysis method }  Treatment devices /Use
    ;Volufne/ieass measures ;Mind direction j   Wind velocity ^Presence
    of data elements varies by resource (data base)
(DS)  Time period covered by data bases 01-01-70 ffl 01-30-83
(TRM)  Termination of data collections Not  anticipated
(FRQ)  Frequency of data collection or sampling: Other  frequency of
    collection* sampling* updating dependent on rate    established by
    each information resource accessible through the network*
(NOB)  Number of observations in data  base: 25 million(Estimated)
(NEI)  Estimated annual Increase of observations in data bases 2.5-5.0
    (million)


                             852

-------
                             Accession So.   7103000901      (cont)

(INF)  Data base includes:  Ran data/observations ;Summary aggregate
    observations ;Reference data/citations   varies  by resource/data
    base
(NTS)  Total number of stations or sources  covered  in data base:  8-10
    (resources)
(NCS)  No.  stations or sources currently originating/contributing  data:
    7
(NOF)  Number of facilities covered In data base {source monitoring):  (N
    /A)
(GEO)  Geographic coverage of data base: International  ;National
(LOG)  Data elements identifying location of station or source  Include:
    State jCounty ^Congressional district ;SMSA fCity ;Town/township j
    Street address ^Coordinates ;Project identifier ^varies by
    resource/data base
(FAC)  Data elements identifying facility Include:  Plant facility  narae
    ;Plant location ;Parent corp naae jParent corp  location ;     Street
    address ;SIC code ;Dun Bradstreet ;SCC  jNPDES ^Program identifier  }
    varies by resource/data base
(CDE)  Pollutant identification data are: CAS registry  number
(LIM)  Limitation/variation in data of which user should be aware: the
    prototype, operational "81, Includes NLM (Medlars Chemline, etc*)
    CIS CAS-QN-LINS, SDC(ORBIT), HACS, Conditional  uith    DIALOGUE,
    BRS, ETIS,HAZARDLIME, TDHS, & PROPHET.   5-7 additional resources
    Mill be added in calendar '83.  For each resource accessable
    through the network usually a statement made when its system  is
    first     accessed will speak to differences in periods of
    sampling, numbers of observations,  experimental protocols, quality
    assurance procedures   followed & levels of documentation,  etc.
(DpR)  Data collect./anal,  procedures conform to ORD guidelines:  ORB
    Guidelines ;Saapling plan documented ^Collection method documented
    ;    Analysis method documented ;QA procedures  documented   € Above
    varies by resource/data base.)
(ANL)  Lab analysis based on EPA-approved or accepted methods?  YES
(AUD)  Lab Audit: Lab audit is satisfactory but varies  by data  base.
(PRE)  Precision: Precision and accuracy estimates  partially exist for
    some resources/data    bases     Edit for some  resources, not  for
    others.
(C8Y)  Cata collected by: Self reporting ;Local agency  ;State agency
    ^Regional office ;     EPA lab ^Contractor lab  ^Contractor  Bother
    federal agency }EPA headquarters >   collector  varies by
    resource/data base
(ABY)  Data analyzed by: Self reporting
    Local agency
    State agency
    Regional office
    EPA lab
    Contractor lab
    Contractor
    Other federal agency
    EPA headquarters
    analyzer varies by resource/data base
(IDL)  Laboratory identification:  YES


                             853

-------
                             Accession No.   7103000901     (cont)

(ADT)  Authorization foe data collection:  Statutory authorization is P
    L 94-469, Sections 10 & 25. Each resource has  its own
    authorization.
(OMB)  Data collected/submitted using OMB-approved SPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Publications
    overview documents, technical user documents, CSXfi  Directory
    Unpublished reports
    printouts on request
    Microfilm
    Machine-readable raw data
    On-line computer
    Outputs available vary by resource/data base.
(NUS)  Number of regular users of data bases 10-50 offices
(USR)  Current regular users of data base:  EPA headquarter offices
    Office of Pesticides and foxic Substances     Office of Toxic
    Integration
    EPA regional offices
    EPA laboratories
    Other federal agencies
    States
    Industry, academia, and other nations.
(CNF)  Confidentiality of data and 1 inits on access: Limits on access
    Hithin EPA and outside agency for some  data
(DLC)  Primary physical location of data:  Contractor ;EPA lab ;Regional
    office JNCC/UHIVAC ;NCC/IBM ^Headquarters office ; State agency
    ;0ther federal agency ;varies by resource/data base.
(DST)  form of data storage: Magnetic tape ;Magnetic disc
    ;Hicrofich/film ^Original form (hardcopy, readings) varies by
    rescurce/data base
CDAC)  Type of data access: EPA software   MIDS:7500000901 ;data
    identified, located & accessed through the  end.
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Other varies by
    resource/data base.
(RSS)  Related EPA automated systems which use data base: Chemical
    Information System (CIS), Chemicals in Commerce Information System
    (CICIS)
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    Storage and Retrieval of Hater     Quality and Related Data
    (STOREf),GEMS
(ROB)  Non-EPA data bases used in conjunction with this data base: Natio
    nal Library of Medicine - bibliographic files (NLM), Toxicology
    Data  Management System (TDMs), Chemical Regulations and
    Guidelines System (CRGS), PROPHET (National Institutes of Health)
(CMP)  Completion of form:
    Dr. Sidney Siegel
    OFCS EPA/(OPTS)/(OTI)/(OSA)
    AD: 401 M Street, S.W. (TS-793) Washington, D.C. 20460
    PHS (202)382-2256
(DF)  Date of fora completion: 01-20-83
(NMAT)  Number of substances represented in data base: 776


                             854

-------
                             Accession No.  7103000901
                     (cent)
(NCAS)  Number of CAS registry numbers
{MAT)  Substances represented in data

    ~0, 0-diethyl phosphoricacid,0-p-
       nitrophenyl ester<3ll-p45-5>
    0,0-diethyl-O-(2-pyrazinyl)
       phoshorothioO,0-diethyl~s-(2-
       ethylthio)ethyl)ester of
       phosphorodithioicacid
    0/0-diethyl-s-methyl ester of phos
       If Ifif2-tetrachloroethane
       <630-20-6>
    l,l,l-trichloroethane<71-55*6>
    1,1,2, 2,-tetrachloroethane
       <79-34-5>
    l,l,2-trichloroethane<79-QO-5>
    l,l-dichioroethane<75-34-3>
    l,l-dichloroethylene<75-35-4>
    l,l-dimethylhydrazine<57-14-7>
    l,12-trichloroethene<79-01^6>
    l,2,3,4,10,10-hexachloro~l,4, 4a,5,
       8, 8a-hexahydr o-l, 4:5, 8-endo,
       endo-dimetha
    l/2^4,-trichlorobenzene<120-82-l>
    ls2,4,S-tetrachlorobenzene
       <95-94-3>
    l/2-dlbromo-3-chloropropane (dbcp)
       <96-12-8>
    If 2-dibromoethane<106-93-4>
    If2-dichlorobenzene< 95-50-l>
    if2-dichloroethane<107^06-2>
    l/2-dlchloropropane<78-87-5>
    If2-diethyIhydrazine<1615-80-l>
    1,2-dimethylhydrazine<540-73-8>
    1*2-diphenylhydrazlne<122-66-7>
    l,2-propanediol<57-55-6>
    1, 2-trans-dichloroethylene
       <156-60-5>
    1,3,4 trichlorobenzene<120-82-l>
    l,3-dichlorobenzene<541-73-l>
    if3-dlchloropropene<542-75-6>
    l,3-pentadlene<504-60-9>
    1,3-propane sultone<1120-71-4>
    if4-dlchloro-2-butene<110-57-6>
    l,4-dichlorobenzene<106-46-7>
    l,4-dioxane<123-91-l>
    l,4-naphthoquinone<130-15-4>
    l-(o-chlorophenyl)thiourea
       <5344-82-l>
    l-(p-chlorobenzoyl}-5-aetlioxF-2-
       methylindole-3-acetlc acid
 in data base: 724
base;
   l-chloro-2,3-epoxypropane
      <106-89-8>
   14-naphthyl-2-thiourea<86-88-4>
   l-naphthylaiBine<134-32-7>
   2,2-dichloropropionic acid
      <7S-99-0>
   2,3,4,6-tetrachlorophenol<58-90-2>
   2,4,5-t amines
   2,4,5-t esters
   2,4,5-t salts
   2,4,5-tp acid esters
   2,4,5-trichlorophenol<95-95-4>
   2,4y5-trichlorophenoxyacetic acid
      (T)<93-76-5>
   2,4/5-trichlorophenoxyproplonic
      acid CfPX93-72-l>
   2,4,6-trichlorophenol<88-06-2>
   2,4,7,8-tetrachlorodibenzo-p-
      dioxin (tcdd)
   2r4-d acid<94-75-7>
   2f4-d esters
   2,4-dichlorophenol<120-83-2>
   2,4-dichlorophenoxyacetic acid (2,
      4-d><94-75-7>
   2/4-diaiethylphenol<105-67-9>
   2r 4-dinitrophenol<51-r28-5>
   2,4-dinitrotoluene<121-14-2>
   2f4-dithiobiuret<541-53-7>
   2,6-dichlorophenol<87-65-0>
   2/6-dinitrotoluene<606-20-2>
   2-acetylamlnoflourene
   2-butanone peroxide<1338-23-4>
   2-chloroethylvinyl ether<110-75-8>
   2-chloronaphthalene<91-58-7>
   2-chlorophenol<95-57-8>
   2-cyclohexyl-4,6-dinitrophenol
      <131-89-5>
   2-fluoroacetamide (l081)<640-19-7>
   2-Bethyl-2-(fflethylthio)propionalde
      hyde-o-(inethylcarbonyl)oxime
      <80-62
      -6>
   2-methylaziridine<75-55-8>
   2-methyllactonitrile<75-86-5>
   2-naphthyla«ine<91-59-8>
   2-nitrophenol<88-75-S>
   2-nitropropane<79-46-9>
   2-picolice<109-06-8>
   2-propyn-l-01<107-19-7>
                             855

-------
                         Accession No.  7103000901
                  (cont)
2-sec butyl— 4, 6-dinitrophenol
   <88-85-7>
3,3*-dichlorobenzidine<91-94-l>
3,3*-diffiethoxybenzidine<119-90-4>
3,3'-diinethyl-Ufflethylthio}-2-
   butanone-Q- (( methyl am ino)
   carbonyDoxime
3,3*-difflethylbenzidine<119-93-7>
3,4-benzofluoranthene<205-99-2>
3, 4-dihydroxy-alpha-(nethylamino)-
   methyl benzyl alcohol
3-chloropropionitrile<542-76-7>
3-ffl€thylchol anthrene<56-49-5>
39196- 18-4>
4,4--ddd
4,4--ddt<50-29-3>
\f 4*-raethylene-bis-(2-chloroanilin
4,6-dlnitro-o-cresoK534-52-l>
4-Amlnopyridine<504-24-5>
4-bromophenyl phenyl ether
   <101-55-3>
4-chloro-o-toluidine hydrochloride
   <3165-93-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
5-(afflinoraethyl)-3-isoxazolol
   <27 63-96- 4>
5-nitro-o-toluidine< 99-55- 8>
6-aaino-l, la^2^8,8a,8b-hexahydro-
   8-(hydroxymethyl)8-ffiethoxy-5-
   methyl-caraba
ac«naphthene<83-32-9>
acenaphthylene<208-96-8>
acetaldehyde<75-07-0>
acetic acid<64-19-7>
acetic anhydride<108-24-7>
acetone cyanohydrin<75-86-5>
ace tone<67-6 4-l>
acetonitrile<75-05-8>
ac€tophenone<98-86-2>
acetyl bromide<506-96-7>
acetyl chloride<75-36-5>
acid mist
acidity
acrolein<107~Q2-8>
acrylamide<79-06-l>
acrylic acid<79-10-7>
acrylonitrile<107*13-l>
adipic acid<124-04-9>
alachlor<15972-60-8>
aldrin<309-00-2>
alkalinity
allyl alcohol<107-18-6>
allyl chloride<107-05-l>
alpha, alpha-dimethylbenzylhydro-
   peroxide<80-15-9>
alpha, alpha-dimethylphenethylamine
   <122-09-8>
alpha-chlorotoluene<100-44-7>
aluminum phosphide<20859-73-8>
aluminum sulf ate<10043-01-3>
alufflinuni<7429-90-5>
ainitraz 
amitrole<61-82-5>
amionia<7664-41-7>
ammonium acetate<631-61-8>
ammonium benzoate<1863-63-4>
ammoniura bicarbonate<1066-33-7>
ammoniun bichromate<7789-09-5>
ammonium bifluoride<1341-49^7>
ammonium bisulf ite<10192-30-0>
ammonium carbaffiate
ammonium cacbonate<506-87-6>
ammonium chloride<12125-02-9>
ammonium chromate<7788-98-9>
aeaoniun citrate<7632-50-0>
ammonium f luoborate<13826-83-0>
ammoniura fluoride< 121 25-01- 8>
amnonium hydroxlde<1336-2l-6>
aaanoniuB oxalate<1113-38-8>
araraoniura picrate<131-74-8>
amnonium silicofluoride
   <16919-19-0>
ammonium sulfamate<7773-06-0>
ammonium sulf ide<12135-76-l>
anmoniun tartrate<3164-29-2>
ammonium thiocyanate<1762-95-4>
ammonium thiosulf ate<7783-18-8>
arayl acetate<628-63-7>
anillne<62-53-3>
anthracene<120-12-7>
antimony pentachloride<7647-18-9>
antimony potassium tartrate
antimony tribromide<7789^61-9>
antimony trichloride<10025-91-9>
antimony trlf luoride<7783-56-4>
antimony trioxide<1309-64-4>
antimony<7440-36-0>
araoite<140-57-8>
arsenic acid<1327-52-2>
                         856

-------
                         Accession Ho.  7103000901
                  (cont)
arsenic dlsulf id«K1303-32-8>
arsenic pentoxide< 1303-28- 2>
arsenic trichloride<7784-34-l>
arsenic trioxide<1327-53-3>
arsenic trisulfide<1303-33-9>
arsenic<7440-3 8-2>
asb€stos<1332-21-4>
atrazine
auramine<2465-27-2>
azaser ine
banvel-d
barium 140<1 4798-08- 4>
bariuai cyanide<542-62-l>
barium<7440-39-3>
benefin<1861-40-l>
benomyl<17804-35-2>
benz{c)acridine<225-51~4>
benzac
benzal chloride<98-87*3>
benzene<71-43-2>
benzenesulfonyl chloride<98-09-9>
benzenethiol<108-98-5>
benzidine<92-87-5>
benzo(a)anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
benzo(g,h/i)perylene<191~24-2>
benzo
benzole acid<65-85-0>
benzonitrile<100-47-0>
benzotrichloride<98-07-7>
benzoyl chloride<98-88-4>
benzyl chloride<100-44-7>
beryllium chloride<7787-47-5>
beryllium dust
beryllium fluoride<7787-49»7>
beryllium nitrate<13597-99-4>
beryllium<7440-4l-7>
bhc (lindane)-ganua<58~89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
biphenyl<92-52-4>
bis(2-chloroethoxy>nethane
br0«is«K7726-9S-6>
bro«oacetone<598-31-2>
bisC2-chloroethyl)ether
bis ( 2-chloroisopropyl) ether
   <39638-32-9>
bis(2-ethylhexyl)phthaiate
bis
bismuth compounds<7440-69-9>
boron compounds<7440-42*8>
broiBochlorobenzene<28906-38-9>
bre«©dichloroiBethane<75-27-4>
brofflonethane<74-83-9>
&rucine<357~57-3>
butachlor<2318 4-66- 9>
butyl acetate<123-86-4>
butyl benzyl phthalate<85-68-7>
butyla«ine<109-73-9>
butyric acid<107-92-6>
cacodylic acid and salts<75-60-5>
cadraium aeetate<543-90-8>
cadaiuBi bromide<7789-42-6>
cadmiuffi chloride
cadmiua<7440-43-9>
calclun arsenate<7778-44-l>
calciun arsenite<52740-16-6>
calcium carbide<75-20-7>
calciun chromate<13765-19-0>
calcium cyanide<592-01-8>
calcium dodecylbenzenesulfonate
   <26264-06-2>
calcium hydroxide<1305-62-0>
calciuio hypochlorite<7778-54-3>
calciun oxide<1305-78-8>
captan<133-06-2>
c ar baryl<63-25-2>
carbofuran<1563-66-2>
carbon 14< 147 62-7 5-5>
carbon disulf ide<75-15-0>
carbon monoxide<630-08-0>
carbon tetrachloride<56-23-5>
carbon?/! £luoride<353-50-4>
cesium 137<10045-97-3>
cnlorai<75-87~6>
chloraBbucil<305-03-3>
chloranil<118-75-2>
chlordane<57-74-9>
chlorinated naphthalenes
chlorine<7782-50-5>
chl oroacetaldehyde<10 7-20-0>
chlorobenzene<108-90-7>
chlorobenzilate<510-15-6>
chlorodibrono«ethane<124-48-l>
chloroethane<75-00-3>
chloroethene<75-01-4>
chloroethyl vinyl ether<110-75-8>
chlorof iuorocarbons
chloroforffl<67--66-3>
chloro«ethane<74-87-3>
                         857

-------
                         Accession No.  7103000901
                  
chloroprene<126-99-8>
chlorosulfonlc acid<7790-94-5>
chlorpyrifos<2921-88-2>
chromic acetate<1066-30~4>
chromic acid<7738-94-5>
chronic sulfate<10101-53-8>
chroraiura<7440-47-3>
chrcroous chloride<10049-05-5>
chrysene<218-01-9>
cls-l,2-dichloroethylene
coal tar<8007-45-2>
cobalt<7440-48-4>
cobaltous bronilde<7789-43~7>
cobaltous forraate<544-18-3>
cobaltous sulfamate<14017-41-5>
copper cyanide<544-92-3>
copper<7440-50-8>
couBaphos< 56-72- 4>
creosote<8021-39-4>
cresol<1319-77-3>
cresylic acid<13!9-77-3>
crotonaldehyde< 4170-30 -3>
cumene<98-82-8>
cupric acetate<142-71-2>
cuprlc acetoarsenite<12002-03-8>
cupric chlorid«<7447-39-4>
cup tic nitrate<3251-23-8>
cupric oxalate<814-91-5>
cuprlc sul fate aoiaoniated
   <10380-29-7>
cupric sulfate<7758-98-7>
cupric tartrate<815-82-7>
cyanazlne<2172S-46-2>
cyanide<57-12'5>
cyanogen bromide<506-68-3>
cyanogen chloride<506-77-4>
cyanogen<460-19-5>
cyclohexane<110-82-7>
cyclohex anon e< 108- 94-l>
cyclophosphajalde<50-lB-0>
daunomycin<20830-81-3>
ddd(tde)
ddt
de«eton<8065-48-3>
di-isopropylfiuorophosphate
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117^84-0>
dl-n-propylnitrosanine<621^64-7>
dialkyl ethers
dialkyl phosphates
dlallate<2303-16-4>
diazinon<333~41-5>
dlbenzo(a,h)anthracene<53-70-3>
dibenzofuran<132-64-9>
dibenzol(a,i)pyrene<189-55-9>
dibroiBochloroRiethane<124-48-l>
dibrorao«ethane<74-95-3>
dlbutyl phthalate<84-74-2>
dicamba<19I9-00-9>
dichlobenil<1194-65-6>
dichlone<117-80-6>
dichlorobenzane<25321-22-6>
dichlorobroaomethane<75-27-4>
dlchlorodifluoromethan«<75-7l-8>
dichloroiodonethane<594-04-7>
dichloronethane<75-09-2>
dlchlorophenylarsine<696-28-6>
dichloropropane<26638-19-7>
dlchloropropene-dlchloropropane
   mixture
dlchloropropene<26952-23-fi>
dichlorvos (ddvp><62-73-7>
dieldrin<60-57-l>
diepoxybutane<1464-53-5>
diethyl phthalate<84-66-2>
diethylaaine<109-89-7>
diethylstllfoestrol<56-53-l>
dlhydrosafrole<94-58-6>
difflethoate<60-51-5>
dieethyl phthalate<131-ll-3>
dlnethyl sulfate<77*78-l>
diaiethyla«ine<124-40-3>
diaethylcarbaiBoyl chloride
   <79-44-7>
di«€thylnitrosaBine<62-75-9>
dinitrobenzene<25154~54-5>
dinltrophenol
dinitrotoluene<25321-14-6>
dioxane
dioxin
diphenyl ether<101-84-8>
diphenylhydrazine<38622-18-3>
dipropylamine<142-84-7>
diquat<2764-72-9>
dissolved oxygen
dissolved solids
disulfoton<298-04-4>
diuron<330-54-l>
dodecylbenzenesulfonlc acid
   <27176-87-0>
                         858

-------
                         Accession No.  7103000901
                  (cent)
ebdc's ( ethy leneblsdithiocarbanate
   s)
edta<60-00-4>
endosulfan sulfate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endosulfan<115-29-7>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
epichlorohydrin<106-89-8>
ethion<563-12-2>
ethyl acrylate<140-88-5>
ethyl chloride<75-00-3>
ethyl ether<60-29-7>
ethyl wethacrylate<97~63-2>
ethyl aethanesulfonate<62-50-0>
ethyl parathion<56-38-2>
ethylbenzene<100-41-4>
ethylcyanide<107-12-0>
ethylene bisdithiocarbanate
ethylene dlbroaide (edb)
ethylene dichloride
ethylene oxide<7S-21-8>
ethylene thlourea< 96-45* 7>
ethylenedianine<107-15-3>
ethyleneinlne<151-56-4>
fecal coUform
ferric aoiBoniuB citrate<1185-57-5>
ferric ammonium oxalate
   <14221-47-7>
ferric chloride<7705-08-0>
ferric cyanide
ferric fluoride<7783-50-8>
ferric nitrate<1042l-48-4>
ferric sul f ate < 100 28-2 2-5>
ferrous amnoniua sulfate
   <10045-89-3>
ferrous chloride<7758-94-3>
ferrous sul fate<77 20-7 8-7>
fluoranthene<206-44-0>
fluorene<86-73-7>
fluorides
fluorine<7782-41-4>
fluoroacetic acid, sodium salt
f luorotrichloronethane<75-69-4>
formaldehyde< 50-00 -0>
formic acid<64-18-6>
funaric acid<110-17-8>
furfural<98-01^1>
glycidyl aldehyde
gross alpha
guthion<86-50-0>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
hexachlorobutadiene<87-68-3>
hexachlorocyclohexane<58-89-9>
hexachlorocyclopentadiene<77*47-4>
hexachloroethane<67-72-l>
hexachlorophene<70-30-4>
hexachloropropene<1888-71-7>
hexaethyl tetraphosphate<757-58-4>
hydrazlne<302-01-2>
hydrocarbons
hydrochloric acid<7647-01 H»
hydrocyanic acid<74-90-8>
hydrofluoric acid<7664-39-3>
hydrogen cyanide<74-90-8>
hydrogen sulfide<7783-06-4>
hydroxydimethyl arsine oxide
   <75-60-5>
indeno 
iodine !29<15046-84-l>
iodine 13K100 43-66-0 >
iodomethane<74-88-4>
iron dextran<9004-66-4>
iron<7439-89-6>
isobutyl alcohol<78-83-l>
isocyanic acid, methyl ester
   <624-83-9>
isophorone<78-59-l>
isoprene<78-79-5>
isopropanolanine dodecylbenzene
   sulfonate<54590-52-2>
isosafrole<120-58-l>
kelthane<115-32-2>
kepone<143-50-0>
krypton 85<13983-27-2>
laslocarpine<303-34-4>
lead acetate<301-04-2>
lead arsenate<3687-31-8>
lead chlorlde<7758-95-4>
lead fluoride<7783-46-2>
lead fluoroborate<13814-96-5>
lead iodide<10101-63-0>
lead nitrate<10099-74-8>
lead phosphate<7446-27-7>
lead stearate<1072-35-l>
lead subacetate<1335-32-6>
lead sulfate<7446-14-2>
lead sulfide<1314-87-0>
lead thiocyanate<592-87-0>
lead<7439-92-l>
                         859

-------
                         Accession No.  7103000901
                  (cent)
llndane<58-89-9>
lithium and co»pounds<7439-93-2>
lithium chromate
m-cresol<108-39-4>
m-xylene<108-38-3>
malathion<121-75-S>
maleic acid<110-16-7>
Hialeic anhydride<108-3l-6>
aaleic hydrazide<123-33-i>
malononitrile<109-77-3>
manganese<7439-96-5>
mannade beta
mate
melphalan<148-82-3>
raercaptodimethur<2Q32-65-7>
mercuric cyanide<592-04-l>
mercuric nitrate<10045-94-0>
mercuric sulfate<7783-35-9>
mercuric thlocyanate<592-85-8>
nercurous nitrate<10415-7§-5>
mercury fulminate<628-86-4>
mercury<7439-97-6>
methanearsonates
methanethlol<74-93-l>
raethanol<67-56-l>
raethapyrilene<91-80-5>
methomyl<16752-77-5>
methoxychlor<72-43-5>
methyacrylonitrile<126-98-7>
methyl chlorocarbonate<79-22-l>
methyl chloroforn<71-55-6>
methyl ethyl ketone (mek)<78-93-3>
methyl ethyl ketone peroxide
   
methyl hydrazlne<60-34-4>
methyl iodide<74-88-4>
methyl isobutyl ketone<108-10-l>
methyl mercaptan<74-93-l>
methyl methacrylate<80-62-6>
methyl parathion<298-00-0>
methylthlouracll<56-04-2>
raevlnphos<7786-34-7>
mexacarbate<315-18-4>
microbiology collform bacteria
nirex<2385-85-5>
molybdenum and c ompoun ds
   <7439-98-7>
monoethylamine<75-04-7>
mononethylamine<74-89-5>
monuron<150-68-5>
n,n-bis(2-chloroethyl)-2-naphthyla
   mine<494-03-l>
n-alkanes clO-c30
n-butyl alcohoi<71-36-3>
n*butyl phthalate<84-74-2>
n-methyl-n'-nitro-n-nitrosoguanidl
   ne<70-25-7>
n-nitroso-n-ethylurea<759-73-9>
n-nltroso-n-methylurea<684-93-5>
n-nitroso-n-methylurethane
   <615-53-2>
n-nitrosodi-n*butylamine<924-16-3>
n-nitrosodi-n-propylamine
   <621-64-7>
n-nitrosodlethanolamlne<1116-54-7>
n-nitrosodiethylamine<55-18-5>
n-nitrosodlmethylamine<62-75-9>
n-nitrosodiphenyla«ine<86-30-6>
n-nitrosomethylvinylanine
n-nitrosopiperidine<100-75-4>
n-nitrosopyrrolldine<930-55-2>
n-phenylthiourea<103-85-5>
n-propyla«ine<107-10-8>
naled<300-76-5>
naphthenic acid<1338-24-5>
nickel asaoniuB sulfate<7785-20-8>
nickel carbonyl<12612-55-4>
nickel chloriae<7718-54-9>
nickel hydroxide<12054-48-7>
nickel nitrate<13138-45-9>
nickel sul£ate<7786-81-4>
nickel<7440-02-0>
nicotine and salts<54-ll-5>
nitralin<4726*14-1>
nitrate<14797*55-8>
nitrates/nltr ites
nitric acld<7697-37-2>
nitric oxlde<10102-43-9>
nitriloacetates
nit robenzene<98-95-3>
nitrogen dioxide<10102-44-0>
nitrogen peroxide<10102-44-0>
nitrogen tetroxide<10544-72-6>
nltrogen<7727-37-9>
nitroglycerine<55-63-0>
nitropheuol<25154-55-6>
nitrosomethylurea<684-93-5>
nitrosoBorpholine<59-89-2>
nltrotoluene
nonaphthalene
o-cresol<95-48-7>
o-methoxyphenol<90-05-l>
o-toluidine hydrochloride
   <636-21-5>
                         860

-------
                         Accession No.  7103000901
                  (cont)
o-xy lene<9 5- 47-6>
oc tame thy Ipyrophosphor amide (OMPA)
   <152-16-9>
oil and grease
oleyl alcohol condensed with 2
   moles ethylene oxide
osmium tetroxide<20816-12-0>
oxygen demand
ozoue<10028-15-6>
P-chloro-m-cresol<59-50-7>
P-chloroaniline<106-47-8>
p-cresol<106-44-5>
p-dichlorobenzene< 106-46-7>
p- dine thy 1 aminoazobenzene< 60-ll-7>
P-nitroaniline<100-01-6>
p-xylene<106-42-3>
PH
paraforaaldehyde<30525-89-4>
paraldehyde< 123-63-7>
paraquat<4685-14-7>
parathioiK 56-38- 2>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 {arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorobenzene<608-93-5>
pentachloroethane<76-01-7>
pentachloronitrobenzene (PCHB)
   <82-68-8>
pentachlorophenol<87-86-5>
perchloroethylene<127-18-4>
per thane <7 2- 56-0 >
phenacetin<62-44-2>
phenanthrene<85-01-8>
phenarsazine chloride<578-94-9>
pheuol<108-95-2>
phenyl dichloroarsine<696-28-6>
phenylacetic acid<103-82-2>
phenylraercury acetate<62-38-4>
phorate 298-0202
phosgene<75-44-5>
phosophorothlolc acid,0,0-
   dinethyl ester^o-ester tilth n/
   n-dimethylbenzene
phosphine<7 80 3-51-2>
phosphoric acid<7664-38-2>
phosphorus and compounds
   <7723-14-0>
phosphorus oxychloride<10025-87-3>
phosphorus pentasulfide<1314-80-3>
phosphorus sulfide<13l4-80-3>
phosphorus tcichloride<7719-12-2>
photon emitters
phthalic acld<88-99-3>
phthalic anhydride<85-44-9>
plperonyl butoxide<51-03-6>
plutoniua 238<13981-16-3>
plutonluK 239
polybronlnated biphenyls (PBBs)
polychlorlnated biphenyls (PCBs)
potasslua arsenate<7784-41-0>
potasslufl arsenite<10124-50-2>
potassiua bichro*ate<7778-50-9>
potassiuo chronate<7789-00-6>
potassiua cyanide<151-50-8>
potassiua hydroxlde<1310-58-3>
potassiun permanganate<7722-64-7>
potassiuB silver cyanide<506-61-6>
potasslua<7440-09-7>
pronaraide<23950-5 8-5>
propachlor<1918-16-7>
propanil<109-98-8>
propargite<2312-35-8>
propionic acid<79-09-4>
propionic anhydride<123-62-6>
propionitrile<107-12-0>
proplyene oxide<75-56-9>
propoxur<114-26-l>
pyrene<129-00-0>
pyrethrin<121-29-9>
pyridine<110-86-l>
quinoline<91-22-5>
quinones
radiokrypton
radioxenon
radium 226<13982-63-3>
radium 228<15262-20-1>
radon<10043-92-2>
reserpine<50-55-5>
resorclnol<108-46-3>
ronnel<299-84-3>
rotenone<83-79-4>
saccharln<81-07-2>
                         861

-------
                         Accession No.  7103000901
                  (cont)
safrole<94-59-7>
secondary amines
selenlous acid<7783-00-8>
selenium oxide<12640-89-0>
selenium sulfide<7446-34~6>
selenium<7782-49-2>
selenourea<63Q-10-4>
silver cyan!de<506-64-9>
silver nitrate<7761-88-8>
silver<7440-22-4>
silvex<93-72-l>
simazine<122-34-9>
sodium and conpounds<7440-23-5>
sodium arsenate<7631-89-2>
sodium arsenite<7784-46-5>
sodium azide<26628-22-8>
sodium bichromate<10588-01-9>
sodium bifluorlde<1333-83-l>
sodium bisulfite<7631^90-5>
sodium chromate<7775-li-3>
sodium cyanide<143~33-9>
sodium dodecylbenzenesulfonate
   <25155-30-0>
sodium fluoroacetate (1080)
   <62-74-8>
sodium hydrosulfide
sodium hydroxlde<1310-73-2>
sodium hypochlorite<7681-52-9>
sodium raethylate<124~41-4>
sodium nitrite<7632-00-0>
sodium phosphate, dibasic
   <7558-79-4>
sodium phosphate* tribasic
   <7601-54-9>
sodiun selenite<10102-18-8>
sodium<7440-23-5>
streptozotocin<18883-6€-4>
strobane<8001-50-l>
strontium 89<14158-27-1>
strontium 90<10098-97-2>
strontium sulfide<1314-96-l>
strychine<57-24-9>
styrene<100-42-5>
sulfates
sulfides
sulfonamide
sulfur dioxide<7446-09-5>
sulfur monochloride<10025-67-9>
sulf uric acid<7664*93-9>
su s p ended so1i ds
tde<72-54-8>
terpenes
tetrachloroethylene<127-18-4>
tetrachloronethane<56-23-5>
tetraethyl dithiopyrophosphate
   <3689-24-5>
tetraethyl lead<78-00-2>
tetraethyl pyrophosphate<107-49-3>
tetrahydofuran<109-99-9>
tetranitroaethane<509-14-8>
thallic oxide<1314-32-5>
thallium acetate<563-68-8>
thallium carbonate<29809-42-5>
thallium chloride<7791-12-0>
thallium nitrate<10102~45~l>
thallium selenite
thallium sulfate<7446-18-6>
thallium<7440-28-0>
thioacetamide<62-55-5>
thiophanate raethyl<23564-05-8>
thioseaicarbazlde<79-19-6>
thiourea<62-56-6>
thluram<137-26-8>
titaniuffi<7440-32-6>
toluene diisocyanate<26471-62-5>
toluene<108-88-3>
toluenedlaiEine<25376-45-8>
total reduced sulphur
total suspended particulates
toxaphene<6001-35-2>
triallate<2303-17-5>
tribromo«ethane<75-25-2>
tributyl phosphorotrithioate
   <78-48-8>
trichlorfon<52-68-6>
trichloroethane<2S323-89-l>
trichloroethylene<79-01-6>
trichlorofluoromethane<7S-69-4>
trichloromethanethiol<75-70-7>
trlchlorophenol CfCP}<25167-82-2>
triethanolanine dodecylbenzenesulf
   onate<27323-41-7>
triethylamine<121-44-8>
trifluraline (treflan)<1582-09-9>
trimethylamine<75-50-3>
trinitroben2ene<99-35-4>
trisC2,3-dibromopropyl)phosphate
   <126-72-7>
tritiu«<10028-l7^8>
trypan blue<72-57*l>
trysben<50-31-7>
turbidity
uracil mustard<66-75-l>
uranium 234<13966-29-5>
                         862

-------
                             Accession No.   7103000901     (cont)

    uranium 235<15117-96-l>              zinc borate<1332-07-6>
    uranium 238<7440-61-1>               zinc bcomide<7699-45-8>
    uraniun<7440-61-l>                   zinc carbonate<3486-35-9>
    uranyl acetate<541-09-3>             zinc chloride<7646-85-7>
    uranyl nitrate<10102-06-4>           zinc cyanide
    urethane<51-79-6>                    zinc fluoride<7783-49-5>
    vanadic acid* ammonium salt          zinc fornate<557-41-5>
       <11115-67-6>                      zinc hydrosulfite<7779-86-4>
    vanadium pentoxtde<1314-62-l>        zinc nitrate<7779-88-6>
    vanadium<7440-62-2>                  zinc phenol sulfonate<127-82-2>
    vanadyl sulfate<27774-13-6>          zinc phosphlde<1314-84-7>
    vinyl acetate<108-05-4>              zinc silicofluoride<16871-7l-9>
    vinyl chloride<75-01-4>              zinc sulfate<7733-02-0>
    vinylldene chlorlde<75-35-4>         zlnc<7440-66-6>
    xylene<1330-20-7>                    zirconium nitrate<13746-89-9>
    xylenol<1300-71-6>                   zirconium sulfate<14644-61-2>
    zinc acetate<557-34-6>               zirconium tetrachloride
    zinc ammonium chloride                  <10026-ll-6>
(CAS)  CAS registry numbers of substances included in data base: 311-45-
    5j 630-20-6; 71-55-6; 79-34-5;    79-00-5; 75-34-3; 75-35-4;
    57-14-7; 79-01-6; 120-82-1; 95-94-3;       96-12-8; 106-93-4;
    95-50-1; 107-06-2; 78-87-5; 1615-80-1;  540-73-8;   122-66-7;
    57-55-6; 156-60-5; 120-82-1; 541-73-1;  542-75-6; 504-60-9;
    1120-71-4; 110-57-6; 106-46-7; 123-91-1; 130-15-4; 5344-82-1;
    106-89-8; 86-88-4; 134-32-7; 75-99-0; 58-90-2; 95-95-4; 93-76-5;
    93-72-1; 88-06-2; 94-75-7; 120-83-2; 94-75-7; 105-67^9; 51-28-5;
    121-14-2; 541-53-7; 87-65-0; 606-20-2;  1338-23-4; 110-75-8;
    91-58-7;       95-57-8; 131-89-5; 640-19-7; 80-62-6; 75-55-8;
    75-86-5; 91-59-8;      88-75-5; 79-46-9; 109-06-8; 107-19-7;
    88-85-7; 91-94-1; 119-90-4;     119-93-7; 205-99-2; 542-76-7;
    56-49-5; 72-55-9; 50-29-3; 101-14-4;    534-52-1? 504-24-5;
    101-55-3; 3165-93-3; 7005-72-3; 100-02-7;    2763-96-4; 99-55-8;
    83-32-9; 208-96-8; 75-07-0; 64-19-7; 108-24-7;    75-86-5; 67-64-1;
    75-05-8; 98-86-2; 506-96-7; 75-36-5; 107-02-8;      79-06-1;
    79-10-7; 107-13-1; 124-04-9; 15972-60-8; 309-00-2; 107-18-6;
    107-05-1; 80-15-9; 122-09-8; 100-44-7;  20859-73-8; 10043-01-3;
    7429-90-5; 33089-61-1; 61-82-5; 7664-41-7; 631-61-8; 1863-63-4;
    1066-33-7; 7789-09-5; 1341-49-7; 10192-30-0; 1111-78-0; 506-87-6;
    12125-02-9; 7788-98-9; 7632-50-0; 13826-83-0; 12125-01-8;
    1336-21-6;       1113-38-8; 131-74-8; 16919-19-0; 7773-06-0;
    12135-76-1; 3164-29-2;    1762-95-4; 7783-18-8; 628-63-7; 62-53-3;
    120-12-7; 7647-18-9;    11071-15-1; 7789-61-9; 10025-91-9;
    7783-56-4; 1309-64-4; 7440-36-0;   140-57-8; 1327-52-2; 1303-32-8;
    1303-28-2; 7784-34-1; 1327-53-3;      1303-33-9; 7440-38-2;
    1332-21-4; 1912-24-9; 2465-27-2; 115-02-6;      1918-00-9;
    147S8-08-4; 542-62-1; 7440-39-3; 1861-40-1; 17804-35-2;
    225-51-4; 98-87-3; 71-43-2; 98-09-9; 108-98-5; 92-87-5; 56-55-3;
    50-32-8; 191-24-2; 207-08-9; 65-85-0; 100-47-0; 98-07-7; 98-88-4;
    100-44-7; 7787-47-5; 7787-49-7; 13597^99-4; 7440-41-7; 58-89-9;
    319-84-6; 319-85-7; 319-86-8; 92-52-4;  111-91-1; 111-44-4;
    39638-32-9; 117-81-7; 542-88-1; 7440-69-9; 7440-42-8; 7726-95-6;
    598-31-2; 108-86-1; 28906-38-9; 75-27-4; 74-83-9; 357-57*3;


                             863

-------
                         Accession No.  7103000901     (cont)

23184-66-9; 123-86-4; 85-68-7; 109-73-9; 107-92-6; 75-60-5;
543-90-8;      7789-42-6; 7440-43-9; 7778-44-1; 52740-16-6;
75-20-7; 13765-19-0;     592-01-8; 26264-06-2; 1305-62-0;
7778-54-3; 1305-78-8; 133-06-2;      63-25-2; 1563-66-2;
14762-75-5; 75-15-0; 630-08-0; 56-23-5; 353-50-4;      10045-97-3;
75-87-6; 305-03-3; 118-75-2; 57-74-9; 7782-50-5;     107-20-0;
108-90-7; 510-15-6; 124-48-1; 75-00-3; 75-01-4; 110-75-8;
67*66-3? 74-87-3; 107-30-2; 126-99-8; 7790-94-5; 2921-88-2;
1066-30-4; 7738-94-5; 10101-53-8; 7440-47-3; 10049-05-5; 218-01-9;
156-59-2; 8007-45-2; 7440-48-4; 7789-43-7; 544-18-3; 14017-41-5;
544-92-3; 7440-50-8; 56-72-4; 8021-39-4; 1319-77-3; 1319-77-3;
4170-30-3; 98-82-8; 142-71-2; 12002-03-8; 7447-39-4; 3251-23-8;
814-91-5; 10380-29-7; 7758-98*7; 815-82-7; 21725-46-2; 57-12-Sj
506-68-3; 506-77-4; 460-19-5; 110-82-7; 108-94-1; 50-18-0;
20830-81-3; 8065-48-3; 55-91-4; 84-74-2; 117-84-0; 621-64-7;
2303-16-4; 333-41-5; 53-70-3; 132-64-9; 189-55-9; 124-48-1;
74-95-3;       84-74-2; 1918-00-9; 1194-65-6; 117-80-6; 25321-22-6;
75-27-4;    75-71-8; 594-04-7; 75-09-2; 696-28-6; 26638-19-7;
26952-23-8;    62-73-7; 60-57-1; 1464-53-5; 84-66-2; 109-89-7;
56-53-1; 94-58-6;     60-51-5; 131-11-3; 77-78-1; 124-40-3;
79-44-7; 62-75-9; 25154-54-5;   25321-14-6; 123-91-1; 828-00-2;
101-84-8; 38622-18-3; 142-84-7;       2764-72-9; 298-04-4;
330-54-1; 27176-87-0; 60-00-4; 1031-07-8;   959-98-8; 33213-65-9;
115-29-7; 7421-93-4; 72-20-8; 106-89-8;    563-12-2; 140-88-5;
75-00-3; 60-29-7; 97-63-2; 62-50-0; 56-38-2;      100-41-4;
107-12-0; 106-93-4; 107-06-2; 75-21-8; 96-45-7; 107-15-3;
151-56-4; 1185-57-5; 14221-47-7; 7705-08-0; 7783-50-8; 10421-48-4;
10028-22-5; 10045-89-3; 7758-94-3; 7720-78-7; 206-44-0; 86-73-7;
7782-41-4; 75-69-4; 50-00-0; 64-18-6; 110-17-8; 110-00-9; 98-01-1;
86-50-0; 1024-57-3; 76-44-8; 118-74-1; 87-68-3; 58-89-9; 77-47-4;
67-72-1; 70-30-4; 1888-71-7; 757-58-4; 302-01-2; 7647-01-0;
74-90-8;       7664-39-3; 74-90-8; 7783-06-4; 75-60-5> 193-39-5;
15046-84-1;    10043-66-0; 74-88-4; 9004-66-4; 7439-89-6; 78-83-1;
624-83-9;    78-59-1; 78-79-5; 54590-52-2; 120-58-1; 115-32-2;
143-50-0;      13983-27-2; 303-34-4; 301-04-2J 3687-31-8;
7758-95-4; 7783-46-2;      13814-96-5; 10101-63-0; 10099-74-8;
7446-27-7; 1072-35-1; 1335-32-6;       7446-14-2; 1314-87-0;
592-87-0; 7439-92-1; 58-89-9; 7439-93-2;   14307-35-8; 108-39-4;
108-38-3; 121-75-5; 110-16-7; 108-31-6;    123-33-1; 109-77*3;
7439-96-5; 148-82-3; 2032-65-7; 592-04-1;    10045-94-0; 7783-35-9;
592-85-8; 10415-75-5; 628-86-4; 7439-97*6;     74-93-1; 67-56-1;
91-80*5; 16752-77-5; 72-43-5; 126-98-7; 79-22-1;    71-55-6;
78-93-3; 1338-23-4; 60-34-4; 74-88-4; 108-10-1; 74-93-1;
80-62-6; 298-00-0; 56-04-2; 7786-34-7; 315-18-4; 2385-85-5;
7439-98-7; 75-04-7J 74-89-Sj 150-68-5; 494-03-1; 71-36-3; 84-74-2;
70-25-7; 759-73-9; 684-93-5; 615-53-2; 924-16-3; 621-64-7;
1116-54-7;      55-18-5; 62-75-9; 86-30-6; 100-75-4; 930-55-2;
103-85-5; 107-10-8;    300-76-5; 1338-24-5; 7785^20-8; 12612-55-4;
7718-54-9; 12054-48-7;    13138-45-9; 7786-81-4; 7440-02-0;
54-11-5; 4726-14-1; 14797-55-8;     7697^37-2; 10102-43-9; 98-95-3;
10102-44-0; 10102-44-0; 10544-72-6;   7727-37-9; 55-63-0;
25154-55-6; 684-93-5; 59-89-2; 95-48-7; 90-05-1;       636-21-5;


                         864

-------
                             Accession No.   7103000901     (cent)

    95-47-6;  152-16-9; 20816-12-0; 10028-1S-6; 59-50-7;    106-47*8;
    106-44-5; 106-46-7; 60-11-7;  100-01-6;  106-42-3;       30525-89-4;
    123-63-7; 4685-14-7; 56-38-2; 12674-11-2; 11104-28-2;
    11141-16-5; 53469-21-9; 12672-29-6; 11097-69-1; 11096-82-5;
    608-93-5;      76-01-7; 82-68-8; 87-86-5; 127-18-4; 72-56-0;
    62-44-2;  85-01-8;        578-94-9; 108-95-2; 696-28-6; 103-82-2;
    62-38-4;  75-44-5;  7803-51-2;        7664-38-2; 7723-14-0;
    10025-87-3; 1314-80-3; 1314-80-3; 7719-12-2;    88-99-3; 85-44-9;
    51-03-6;  13981-16-3; 15117-48-3; 7784-41-0;    10124-50-2;
    7778-50-9; 7789-00-6; 151-50-8; 1310-58-3; 7722-64-7;     506-61-6;
    7440-09-7; 23950-58-5; 1918-16-7; 109-98-8; 2312-35-8;
    79-09-4;  123-62-6; 107-12-0;  75-56-9; 114-26-1; 129-00-0; 121-29-9;
    110-86-1; 91-22-5; 13982-63-3; 15262-20-1; 10043-92-2; 50-55-5;
    108-46-3; 299-84-3; 83-79-4;  81-07*2; 94-59-7; 7783-00-8;
    12640-89-0;      7446-34-6; 7782-49-2;  630-10-4; 506-64-9;
    7761-88-8; 7440-22-4;       93-72-1; 122-34-9; 7440-23-5;
    7631-89-2; 7784-46-5; 26628-22-8;       10588-01-9; 1333-83-1;
    7631-90-5; 7775-11-3; 143-33-9; 25155-30-0;    62-74-8; 16721*80-5;
    1310-73-2; 7681-52-9; 124-41-4; 7632-00-0;       7558-79-4;
    7601-54-9; 10102-18-8; 7440-23-5; 18883-66-4; 8001*50-1;
    14158-27-1; 10098-97-2; 1314-96-1; 57-24-9; 100-42-5; 7446-09-5;
    10025-67-9; 7664-93-9; 72-54-8; 127-18-4; 56-23-5; 3689-24-5;
    78-00-2;  107-49-3; 109-99-9;  509-14-8;  1314-32-5; 563-68-8;
    29809-42-5; 7791-12-0; 10102-45-1; 7446-18-6; 7440-28-0; 62-55-5;
    23564-05-8; 79-19-6; 62-56-6; 137-26-8; 7440-32-6; 26471-62-5;
    108-88-3; 25376-45-8; 8001-35-2; 2303-17-5; 75-25-2; 78-48-8;
    52-68-6;  25323-89-1; 79-01-6; 75-69-4;  75-70-7; 25167*82-2;
    27323-41-7; 121-44-8; 1582-09-8; 75-50-3; 99-35-4; 126-72-7;
    10028-17-8; 72-57-1; 50-31-7; 66*75-1;  13966-29-5; 15117-96-1;
    7440-61-1; 7440-61-1; 541-09-3; 10102-06-4; 51-79-6; 11115-67*6;
    1314-62-1; 7440-62-2; 27774-13-6; 108-05-4; 75-01-4; 75-35-4;
    1330-20-7; 1300-71-6; 557-34-6; 1332-07*6; 7699-45-8; 3486-35-9;
    7646-85-7; 7783-49-5; 557-41-5; 7779-86-4; 7779-88-6; 127-82-2;
    1314-84-7; 16871-71-9; 7733-02-0; 7440-66-6; 13746-89-9;
    14644-61-2;       10026-11-6
(CNH)  Contact narae(s): Siegel,S. ;    Siegel,S.
(COR)  Contact organization: Office of CSIH Administration

-------
                             Accession No,   7202000005

Summary aggregate
    observations ^Reference data/citations
(NTS)  Total number of stations or sources covered In data base: 4941
    (companies.)
(NCS)  No. stations or sources currently originating/contributing data:
    (unknown.)
(NOF)  Number of facilities covered in data  base (source monitoring): (n
    ot available.)
(GEO)  Geographic coverage of data base: National
(LQC)  Data elements identifying location of station or source  include:
    citations
(FAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant identification data are: Other coding scheme
    Shaughnessy Codes
(LIM)  Limitation/variation in data of which user should be aware: The
    data base is still being developed. Currently, it has limited
    access-batch mode by a chemical   code,  Shaughnessy Code; a limited
    number of standard   retrievals and output formats; a response time
    of 3-4  days; and one purpose-information support to the EPA
    Pesticides Program. Information Requests which fall    outside of
    these limits Hill require new programs and  increase the response
    time.  It contains Information for   72 chemicals.
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Samp1in
    g plan documented ^Collection method documented /Analysis method
    document QA procedures documented


                             866

-------
                             Accession No.   7202000005     (cont)

(ANL)  Lab analysis based on EPA-approved or accepted methods? NO
(PRE)  Precision: Precision and accuracy estimates are not available.
    Edit Programs for validity of bibliographic information only;  no
    edits for accuracy.
(C8Y)  Data collected by: Self reporting pesticide producers and
    manufacturers ;EPA headquarters Office  of
(ABY)  Data analyzed by:  Self reporting primary data analysis
    EPA headquarters Office of Pesticide Programs
(IOL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Development of regulations
    or standards
(PR2)  Secondary purpose  of data collection: Risk assessment
(AUT)  Authorization for  data collection: Statutory authorization  is F
    L 92-516 as amended,  section 3(c)(2)(c)   (FIFRA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting fornss
    QQ
(REP)  Form of available  reports and outputs of data base: Printouts on
    request
    Microfilm
(NUS)  Vunber of regular  users of data base: 350 people (OPP review
    Scientists and contract reviewers}
(USR)  Current regular users of data base:  EPA headquarter offices
    Office of Pesticide Programs
(CNF)  Confidentiality of data and limits on access: Limits on access
    within EPA and outside agency for some   data
(DLC)  Primary physical location of data: Headquarters office
(DST)  Forra of data storage: Magnetic disc  jMicrofich/film
(DAC)  Type of data access: Commercial software MYLBOR ;EPA hardware
    IBM 370/168  MIDS:7200000905

    4-Aminopyridine<504-24-5>            bifenox
    CDEC                                 boric acid and salts
    EPTC                                 bromacil and salts
    OBPA                                 butralin
    acephate                             butyl ac€tate<123-86-4>
    alachlor<15972-60-8>                  butylate
    aluroinum phosphide<20859-73-8>       carboxin (vitavax)
    ammonium sulfamate<7773-06-0>        chlorbromuron
    aspon                                chloroneb
    atrazine<1912-24-9>                  chloropicrin
    bandane                              chloroxuron


                             867

-------
                             Accession No.   7202000005     (cont)

    cou»aphos<56-72-4>                   nethonyl<16752-77-5>
    cyanazine<21725-46-2>                methoprene
    cycloheximide                        metobromuron
    cyprazine                            aetolachlor
    darainozide (alar)                    monuron<150-68-5>
    ddd(tde)                             naphthalene<91-20-3>
    deet                                 naphthaleneacetic  acid
    dialifor                             neburon
    dicamba<1918-00-9>                   norea
    dichlone<117-80-6>                   phosalone
    dicrotophos (bidrin)                  potassiua azide
    diuron<330-54-l>                     potassiua cyanate
    endosulfan<115-29-7>                  redox potential (oxidation
    ethlolate                               reduction potential)
    ethoxyquin                           siduron
    fluometuron                          si«azine<122-34-9>
    fumarin and Na salt                  sodium azide<26628-22-8>
    hypochlorites                        tebuthiuron
    isocyanurates                        teaephos
    isopropalin                          terbacil
    kelthane<115-32-2>                   terbutol
    linuron                              terrazole
    racpa and salts                       trichlorobezychlore
    methamidophos (aonitor)              warfarin and Na salt
    aethidathlon                         zinc phosphide<1314-84-7>
(CAS)  CAS registry numbers of substances included in data  base: SO4-24-
    5; 15972-60-8; 20859-73-8; 7773-06-0;       1912-24-9;  1861-40-1;
    123-86-4; 56-72-4; 21725-46-2; 1918-00-9;       117-80-6; 330-54-1;
    115-29-7; 115-32-2; 16752-77-5; 150-68-5;    91-20-3; 122-34-9;
    26628-22-8; 1314-84-7
(CNM)  Contact narae(s): Grossest*.C.    ;    Fry^E.G.  ;    Grosse^N.C.
(ROR)  Responsible Organization: Office of Pesticides and Toxic
    Substances.Office of  Pesticide Programs.Program Suppor
                             868

-------
                             Accession No.   7202000009

(DQ)  Date of Questionaire:  12*02-82
(STATUS)  Status of entry:  Inactive
(NAM)  Name of Data Base of Model:  Pesticide Product Information  System
(ACR)  Acronym of Data Base or Model:  PPIS
(MED)  Media/Subject of Data Base or Model:  Other pesticide product
    information
(ABS)  Abstract/Overview of Data Base or Model:  The Pesticide Product
    Information System contains information  concerning  all pesticide
    products registered    in the United States.  It includes
    registrant name and address, chemical ingredients,  toxicity
    category/ brand     nane, etc.
(CTC)  CONTACTS: Subject matter   Elgin 6, Fry  (202)426-88621
    Computer-related  Elgin G. Fr
(DTP)  Type of data collection or monitoring:  Coabination/Other
    pesticide product label
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances represented in Data  Base: 48 cancelled
    pesticides ;9 monitoring pesticides ;16  Pre-RPAR
(NPP)  Non-pollutant parameters Included in  the  data base: Chemical
    data ;Concentration measures ;Industry /Manufacturer
(DS)  Time period covered by data base: 01-01-50 TO 09-30-81
(TRM)  Termination of data collection: Not anticipated

-------
                             Accession No.  7202000009     (cont)

(REP)  Form of available reports and outputs of data base:  Printouts on
    request
    Microfilm
    Machine-readable raw data
(NUS)  Number of regular users of data base: 300
(USR)  Current regular users of data base: EPA headquarter  offices
    EPA regional offices
    Other federal agencies
    States
    private industry
(CNF)  Confidentiality of data and limits on access: Limits on access
    within EPA and outside agency for some  data
(DLC)  Primary physical location of data: HCC/IBM
COST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software PPIS Cobol & Easytrive
    MIDS:7200000909 ;SPA hardware IBM 370/168
(CHG)  Direct charge for non-EPA use: no outside use/access permitted
    of confidential  formulas.
(OPDT)  Frequency of data base master file up-date: Weekly
(RDBSPA)  Related EPA data bases used in conjunction with this data base
    Establishment Registration Support System 
       (dbcp)<96-12-8>                   creosote<8021-39-4>
    2,4,5-trichlorophenol<95-95-4>       ddd(tde)
    2,4,5-trichlorophenoxyacetlc acid    ddt
       (T)<93-76-5>                      diallate<2303-16-4>
    2-fluoroacetamide (l081)<640-19-7>   dieldrin<60~57-l>
    acrylonitrile<107-13-l>              dimethoate<60-51-5>
    aldrin<309-00-2>                     ebdc's (ethylenebisdithiocarbamate
    amitraz (baam)<33089-61-l>              s)
    araH!ite<140-57-8>                    endrin<72-20-8>
    arsenic acid<1327-52-2>              epn (ethyl-p-nitrophenyl thionoben
    arsenic pentoxide<1303-28-2>            zenephosonate)<2104-64-S>
    arsenic trioxide<1327-53-3>          ethylene dibroraide (edb)<106-93-4>
    arsenic<7440-38-2>                   ethylene oxide<75~21-8>
    benomyl<17804-35-2>                  heptachlor<76-44-8>
    benzac                               Jcepone<143-50-0>
    cadnium<7440-43-9>                   lindane<58-89-9>
    chloranil<118-75-2>                  maleic hydrazide<123-33-l>
    chlordane<57-74-9>                   mirex<2385-85-5>
    chlorobenzilate<510-15-6>            monuron<150-68-5>
    chloroform<67^66~3>


                             870

-------
                             Accession No.  7202000009
                  (cont)
    octamethylpyrophosphoraside (OMPA)
       <152-16-9>
    pentachloronitrobenzene (PCNB)
       <82-68-8>
    pentachlorophenol<87-86-5>
    phenarsazine chloride<578-94-9>
    pronaoide<23950-58-5>
    safrole<94-59-7>
    silvex<93-72-l>
    sodium fluoroacetate (1080)
       <62-74-8>
    strobane<8001-50-l>
    strychnine<57-24-9>
    thiophanate methyl<23564-05-8>
    toxaphene<8001-35-2>
    trifluralin (tre£lan)<1582-09-8>
    trysben<50-31-7>
    2,4-d acid<94-75-7>
    ca captan<133-06-2>
    carbaryl<63-25-2>
    carbofuran<1563-66-2>
    carbon tetrachloride<56-23-5>
chlorpyrifos<2921-88-2>
dialkyl phosphates
dicanba<1918-00-9>
dichlorvos (dd¥p}<62-73-7>
erbon<136-25-4>
ethyl parathion<56-38-2>
raalathion<121-75-5>
roethanearsonates
methyj parathion<298-00-0>
paraquat<4685-14-7>
perthane<72-56-0>
piperonyl butoxlde<51-03~6>
polychlorinated biphenyls (PCBs)
propoxur<114-26-l>
ronnel<299-84-3>
rotenone<83-79-4>
s,s/s-tributyl phosphorotrithioat
   <78-48-8>
triallate<2303-17-5>
tributyl phosphorotrithloate
   <78-48-8>
trichlor fon<52-68-6>
(CAS)  CAS registry numbers of substances included in data base: 96-12-8
    j 95-95-4; 93-76-5; 640-19-7;     107-13-1; 309-00-2; 33089-61-1;
    140-57-8; 1327-52-2; 1303-28-2;       1327-53-3; 7440-38-2;
    17804-35-2; 7440-43-9; 118-75-2; 57-74-9;       510-15-6> 67-66-3;
    8007-45-2; 8021-39-4; 2303-16-4; 60-57«-l; 60-51-5;      72-20-8;
    2104-64-5; 106-93-4; 75-21-8; 76-44-8; 143-50-0; 58-89-9;
    123-33-1; 2385-85-5; 150-68-5; 152-16-9; 82-68-8; 87^86-5;
    578-94-9;       23950-58-5; 94-59-7; 93-72-1; 62-74-8; 8001^50-1J
    57-24-9;       23564-05-8; 8001-35-2; 1582-09-8; 50-31-7; 94-75-7;
    133-06-2;    63-25-2; 1563-66-2; 56-23-5; 2921-88-2; 1918-00-9;
    62-73-7; 136-25-4;      56-38-2; 121-75-5; 298-00-0; 4685-14-7>
    72-56-0; 51-03-6; 114-26-1;   299-84-3; 83-79-4; 78-48-8;
    2303-17-5; 78-48-8; 52-68-6

-------
                             Accession No.   7205000001

(DQ)  Date of Quastionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  National Human Milk  Monitoring
    Program
(ACR)  Acronym of Data Base  or Model: NHMP
(MED)  Media/Subject of Data Base or Model: Other human milk
(ABS)  Abstract/Overview of  Data Base or Model:  Data base contains
    values of chlorinated     hydrocarbon insecticides  and
    polychlorinated biphenyl residues found in human milk samples
    provided by approximately 3/000 volunteers randomly selected
    from the entire continental U.S.

-------
                             Accession No.   7205000001     (cont)

    measurements

    4,4--dde(p,p*-ddx)<72-55-9>          chlordan«<57-74-9>
    4,4'-ddt<50-29-3>                    ddd(tde)
    aldrin<309-00-2>                     ddt
    bhc (lindane)-gamma<58-89-9>         dieldrin<60-57-l>
    bhc-alpha<319-84-6>                  endrin<72-20-8>


                             873

-------
                             Accession No.   7205000001     (cont)

    heptachlor epoxide<1024-57-3>        pcb-1254 (arochlor 1254)
    heptachlor<76-44-8>                     <11097-69-l>
    hexachlorobenzene<118-74-l>          pcb-1260 (arochloc 1260)
    kepone<143-50-0>                        <11096-82-5>
    lindane<58-89-9>                     polychlorinated biphenyls (PCBs)
(CAS)  CAS registry numbers of substances included in data base: 72-55-9
    ; 50-29-3; 309-00-2; 58-89-9;     319-84-6; 319-85-7; 57-74-9;
    60-57-1; 72-20-8; 1024-57^3; 76-44-8;    118-74-1; 143-50-0;
    58-89-9; 11097-69-1; 11096-82-5
(CNM)  Contact name(s): Jerry Blondell; Jerry Blonde11
(COR)  Contact organization: of Pesticide Programs^ Health Effects
    Branch
(ROR)  Responsible Organization: Office of Pesticides and Toxic
    Substances.Office of Pesticide Programs*Hazard Evaluat
                             874

-------
                             Accession No.   7205000002

(DQ)  Date of Questlonaire:  12-02-82
(NAM)  Name of Data Base of  Model:  National Electronic  Injury
    Surveillance System
(ACR)  Acronym of Data Base  or Model:  NEISS
(MED)  Media/Subject of Data Base or Model: other sample is hospital
    emergency rooms which treat pesticide    poisonings.

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                             Accession Ho.   7205000002     (cont)

(PRE)  Precisions Precision and accuracy estimates exist but are not
    included in data base
(EOT)  Editting:  Edit procedures used but undocumented.
(CBY)  Data collected bys hospital personnel
(A8Y)  Data analyzed by:  Other federal agency U.S. Consumer Product
    Safety Commission     (CPSC)
UDL)  Laboratory identification: NO
(PR2)  Secondary purpose  of data collection: Special study
CAUT)  Authorization for  data collection:  Ho statutory requirement:
    Data collection requirement is    to support Agency  research into
    health effects of pesticides.
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data bases Unpublished
    reports Report of First Year Data-Interagency   Agreement tilth the
    Consumer Product Safety Commission
(NUS)  Number of regular  users of data base: 5

       (dbcp)<96-12-8>                   arsenic pentoxide<1303-28-2>
    2/4,5-trichlorophenol<95-95-4>       arsenic trioxide<1327-53-3>
    2,4,5-trichlorophenoxyacetic acid    arsenic<7440-38-2>
       (TK93-76-S>                      benomyl<17804-35-2>
    2-fluoroacetaraide (1081)<640-19-7>   benzac
    acrylonitrile<107-13-l>              cadmium<7440-43-9>
    aldrin<309-00-2>                     chloranil
    amitraz (baam)<33089-61-l>           chlordane<57-74-9>
    araraite<140-57-8>                    chlorobenzilate<510-15-6>


                             876

-------
                             Accession No.   7205000002
                  (cont)
    chloroform<67-66-3>
    coal tar<8007-45-2>
    creosote<802l-39-4>
    dddUde)
    ddt
    diallate<2303-16-4>
    dieldrin<60-57-l>
    dimethoate<60-51-5>
    ebdc's (ethylenebisdithiocarbamate
       s)
    endrin<72-20-8>
    epn (ethyl-p-nitrophenyl thionoben
       zenephosonate)< 2104-64-5>
    ethylene  dibronide (edb)<106-93-4>
    ethylene  oxide<75-21-8>
    heptachlor<76-44-8>
    kepone<143-50-0>
    lindane<58-89-9>
    maleic hydrazide<123-33-l>
    mirex<2385-85-5>
    momjron<150-68-5>
    octame thyIpyrophosphoramide (OMPA)
       <152-16-9>
    pentachloronitrobenzene (PCNB)
       <82-68-8>
    pentachlorophenol<87-86-5>
    phenarsazine chlorid«<578-94-9>
    pronamide<23950-58-5>
    safrole<94-59-7>
    silvex<93-72-l>
    so divan fluoroacetate (1080)
       <62-74-8>
    strobane<8001-50-l>
thiophanate methy1<23564-05-8>
toxaphene<8001-35-2>
triflurallne (treflan)<1582-09-8>
trysben<50-31-7>
2,4-d acid<94-75-7>
az cacodylie acid and salts
   <7S-60-5>
captan<133-06-2>
carbaryl<63-25-2>
carbofuran<1563-66-2>            <
carbon tetrachlorlde<56-23-5>
chlorpyrifos<2921-88-2>
dlalkyl phosphates
dicaraba<1918-00-9>
dichlorvos (ddvp)<62-73-7>
erbon<136-25-4>
ethyl parathion<56-38-2>
nalathion<121-75-5>
oethanearsonates
methyl parathion<298-00-0>
paraquat<4685-14-7>
perthane<72-56-0>
piperonyl butoxide<51-03-6>
polychlorinated blphenyls (PCBs)
propoxur<114-26-l>
ronnel<299-84-3>
rotenone<83-79-4>
s/s^s-tributyl phosphorotrithioat
   <78-48-8>
triallate<2303-17-5>
tributyl phosphorotrithioate
   <78-48-8>
trichlorfon<52-68-6>
    strychnine<57-24-9>
(CAS)  CAS registry numbers of substances included In data base:  96-12-8
    ; 95-95-4; 93-76-5; 640-19-7;     107-13-1; 309-00-2; 33089-61-1;
    140-57-8; 1327-52-2; 1303-28-2;       1327-53-3; 7440-38-2;
    17804-35-2; 7440-43-9; 118-75-2; 57*74-9;       510-15-6; 67-66-3;
    8007-45-2; 8021-39-4; 2303-16-4; 60-57-l| 60-51-5;      72-20-8;
    2104-64-5; 106-93-4; 75-21-8; 76-44-8; 143-50-0; 58-89-9;
    123-33-1; 2385-85-5; 150-68-5; 152-16-9; 82-68-8; 87-86-5;
    578-94-9;       23950-58-5; 94-59-7; 93-72-1; 62-74-8; 8001-50-1;
    57-24-9;       23564-05-8; 8001-35-2; 1582-09-8; 50-31-7; 94-75-7|
    75-60-5;     133-06-2; 63-25-2; 1563-66-2; 56-23-5; 2921-88-2;
    1918-00-9; 62-73-7;      136-25-4; 56-38-2; 121-75-5; 298-00-0;
    4685-14-7; 72-56-0; 51-03-6;   114-26-1; 299-04-3; 83-79-4;
    78-48-8; 2303-17-5; 78-48-8; 52-68-6
(CNM)  contact nane(s): Blondell,J.    ;    Kessler/E.;    Blondell,J.
(ROR)  Responsible Organization: Office of Pesticides and Toxic
    Substances.Offlee of Pesticide Programs.Hazard Evaluat
                             877

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                             Accession No.   7205000003

CDQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model!  Pesticide Incident Monitoring  System
(ACR)  Acronym of Data Base  or Models  PI MS
(MED)  Media/Subject of Data Base or Model:  Air ;Blood  ;DrInking  Hater
    /Ground Mater /Runoff agricultural ;    Sediment ;Soil  ?Tlssue
    human/ animal, fish
(ABS)  Abstract/Overview of  Data Base or  Model: The Pesticide
    Monitoring System (PIMS)  enters,  stores, coordinates  and  retrieves
    pesticide    incident data within the EPA.   The system  develops  and
    maintains reporting sources, monitors suspected  incidents and
    provides confirmatory analysis and data  on circumstances  of  the
    incident.
(CTC)  CQHTACTS: Subject matter James J.  Boland  (703)557-0576;
    Computer-related Kelly Thomas (305)547-5823j  EPA Office Hazard
    Evaluation Division, Office of Pesticide
(DTP)  Type of data collection or monitoring: Combination/Other data
    collection or monitoring is often  determined   by  the  nature of
    the incident.
(STA)  Data Base status: Partially Operational/Under revision
(GRP)  Groups of substances  represented in  Data Base: 43 air priority
    chemicals ;129 307 CMA ;41 CWA potential criteria ;     21  drinking
    water standards ;9 potential drinking water j29 drinking water
    monitoring >   299 hazardous substances ;48 cancelled pesticides ;9
    monitoring pesticides }     54 TSCA assessment ;16 Pre-RPAR
(NPP)  Non-pollutant parameters Included  in the data base:  Biological
    data ,?Chemical data ^Collection method  ^Concentration  measures ;
    Disposal ;Exposure data  ^Geographic subdivision ^Health effects  }
    Industry jLocation ;Manufacturer >Physical  data /Precipitation j
    Sampling date jSite description jUse  3Wind  direction jtfind velocity
    ; some application methods /Rates
(DS)  Time period covered by data base: 01-01-66  TO 09-30-81
(TRM)  Termination of data collection: Hot  anticipated
(FRQ)  Frequency of data collection or sampling:  Other  varies  as
    incidents are reported-may be as frequently as daily*
(HOB)  Number of observations in data base:  53000.(Actual)
(NED  Estimated annual increase of observations  In data base: 4000.
(INF)  Data base includes: Raw data/observations  ^Summary  aggregate
    observations
(NTS)  Total number of stations or sources  covered in data  base:  100
    (or more.)
(NCS)  No. stations or sources currently  originating/contributing data:
    50 (major contributors.)
(NOF)  Mumber of facilities  covered in data base (source monitoring): (N
    /A)
(GEO)  Geographic coverage of data base:  National
(LOC)  Data elements Identifying location of station or source include:
    State /County ;City .?Project identifier ^Agency or  reporting  source
(CDE)  Pollutant Identification data are: Other coding  scheme
(LIM)  Limitation/variation  in data of which user should be aware: Pestl
    cldes with most reported incidents are  those  with high  agricultural
    and home use rates.   Ho incidents have been  reported  for  some of
    the   pesticides.  PIMS  Is a voluntary  system—as such, numbers  of


                             878

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                             Accession No.   7205000003      (cont)

    reports vary as does the quality (e.g.  confirmed as to pesticide
    cause.)
(ANL)  tab  analysis based on EPA-approved or accepted methods? YES
(ADD)  Lab  Audit: Data not based on lab analysis.
(PRE)  Precision: Precision and accuracy estimates exist but are not
    included in data base    Edit automated data processing system
    edited  periodically.
(CBY)  Data collected by: Self reporting ;Local agency  /State agency 3
    collecting 90% of the reports. ; Regional office ; EPA lab
    ^Contractor lab ^Contractor 8 universities are  collecting the
    reports. ;    Other federal agency JEPA headquarters
(ABY)  Data analyzed by: Local agency
    State agency
    Regional office
    SPA lab
    Contractor lab
    Contractor cooperative agreement with the University of    Miami*
    School  of Medicine-operates PIHS
    Other federal agency
    EPA headquarters
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Development of regulations
    or standards
(PR2)  Secondary purpose of data collections Anticipatory/research
(AOT)  Authorization for data collection: Statutory authorization  Is P
    L 92-516 as amended. Section 3 (The Federal    Insecticide,
    Fungicide, and Rodenticide Act-FIFRA)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    158-R-0008
(REP)  Form of available reports and outputs of data base: Publications
    summary reports
    Unpublished reports
    Printouts on request
(NDS)  Number of regular users of data base: 50
(OSR)  Current regular users of data base:  EPA headquarter offices
    Office  of Pesticide Programs, Office of  General Counsel, Office of
    Pesticides and Toxic Substances, Office of Enforcement
    EPA regional offices
    Other federal agencies
    States
    General Accounting Office
    Public  Interest Groups - various ones
(CNF)  Confidentiality of data and limits on access: Limits on outside
    access  for all data
(DLC)  Primary physical location of data: Contractor
(DST)  Form of data storage: Magnetic disc ;Original form (hardcopy,
    readings)
(DAC)  Type of data access: University of Miami, IBM Series I
(CHG)  Direct charge for non-EPA use: No
(UPDT)  Frequency of data base master file up-date: Other daily
(CMP)  Completion of form:
    James J« Boland


                             879

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                             Accession No.   7205000003
                  (cont)
    OFC: EPA/{OPTS)/(OPP)/(HED)/(IS-769-C)
    AD: 1921 Jefferson Davis Buy., Arlington, Virginia  20002
    PH; (703)557-0576
(DF)  Date of fora completion:  01-14-83
(NMAT)  Number of substances represented in data base: 201
(NCAS)  Number of CAS registry  numbers in data base: 172
(MAT)  Substances represented in data base:
    It 1,1-trlchloroethane<71-55-
       6>
    1,1,2, 2,-tetraehloroe thane
       <79-34-5>
    l,2,4,-trichlorobenzene<120-82-l>
    If 2-dibromo-3-chloropropane (dbcp)
       <96-12-8>
    If2-dlchlorobenzene<95-50-l>
    l/2-dichloroethane<107-06-2>
    l,3-dlchlorobenzene<541-73-l>
    If4-dichlorobenzene<106-46-7>
    2,2-dichloropropionic acid
       <75-99-0>
    2,4,5-t amines
    2f 4,5-t esters
    2,4,S-t salts
    2,4,5-tp acid esters
    2,4,5-trichlorophenol<95-95-4>
    2,4,5-trichlorophenoxyacetic acid
       
    2f4,5-tr ichlor ophenoxypropionic
       acid (TP)<93-72-l>
    2f4,6-tr ichlor opheno1< 88-06-2>
    2,4-d acid<94-75-7>
    2,4-d esters
    2,4-dichlorophenoxyacetic acid (2,
       4-d)<94-75-7>
    2,4-dinitrophenol<51-28-5>
    2-fluoroacetaraide (1081)<640-19-7>
    4,4*-ddd
    4,4*-ddt<50-29-3>
    acenaphthene<83-32-9>
    acetic acid<64-19»7>
    acrolein<107-02-8>
    acrylonitrile<107-13-1>
    alachlor<15972-60-8>
    aldrin<309-00-2>
    allyl alcohol<107-18-6>
    amitrai (baam)<33089-61-l>
    aninioijla<7664-41-7>
    ammonium chloride<12125-02-9>
    ammcnium sulfaroate<7773-06-0>
    ammonium thiocyanate<1762-95-4>
             thiosulfate<7783-18-8>
aramite<140-57-8>
arsenic acid<1327-52-2>
arsenic disulfide<1303-32-8>
arsenic pentoxide<1303-28-2>
arsenic trioxide<1327-53-3>
arsenic<7440-38-2>
atrazin«<1912-24-9>
banvel-d<1918-00-9>
benefin<1861-40-l>
beno«yl<17804-35-2>
benzac
benzene<71-43-2>
bhc (lindane)-ganraa<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
bromonethare<74-83-9>
butachlor<23184-66-9>
cacodylic acid and salts<75-60-5>
cadmlu«<7440-43-9>
calcium arsenate<7778-44-l>
calclun arsenite<52740-16-6>
calcium hydroxide<1305-62-0>
calcium hypochlorite<7778-54-3>
calcium oxide<1305-78-8>
captan<133-06-2>
carbaryl<63-25-2>
carbofuran<1563-66-2>
carbon disulfide<75-15-0>
carbon tetrachlorlde<56-23-5>
chloranil<118-75-2>
chlordane<57-74-9>
chlorobenzilate<510-15-6>
chloroform<67-66-3>
chloromethane<74-87-3>
chlorpyrifos<2921-88-2>
chromium<7440-47-3>
coal tar<8007-45-2>
copper<7440-50-8>
coumaphos<56-72-4>
creosote<8021-39-4>
cresol<1319-77-3>
cyanazine<21725-46-2>
cyanide<57-12-5>
ddd(tde)
                             890

-------
                         Accession No.  7205000003
                  (cont)
ddt
demeton<8065-48-3>
dlalkyl phosphates
diallate<2303-16-4>
dia2inon<333-4l-5>
dibutyl phthalate<34-74-2>
dicamba<1918-00-9>
dichlobenil<1194-65-6>
dlchlone<117-80-6>
dlchlorobenzene<2532l-22-6>
dichlorom«thane<75-09-2>
dichloropropane<26638-19-7>
dichloropropene-dichloropropane
   mixture
dichloropr op ene< 26 952*23-8>
dichlorvos (ddvp)<62-73-7>
dieldrin<60-57-l>
dinethoate<60-51-5>
dlnitrophenol
diquat<2764-72-9>
disuIfoton<298-04-4>
dluron<330-54-l>
ebdc's (ethylenebisdithiocarbanate
   s)
endosulfan sulfate<1031-07-8>
endosulfan-alpha<959-98-8>
endcsulfan-beta<33213-65-9>
endosulfan<115-29-7>
endrln<72-20-8>
epichlorohydrin<106-89-8>
epn (ethyl-p-nltrophenyl thlonoben
   zenephosonate)<2104-64-5>
erbon<136-25-4>
ethion<563-12-2>
ethyl parathion<56-38-2>
ethylene dibronide (edb)<106-93-4>
ethylene dichloride<107-06-2>
ethylene oxide<75-21-8>
forffialdehyde<50-00-0>
guthion<86-50-0>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
hydrogen cyanide<74-90-8>
kelthane<115-32-2>
kepcne<143-50-0>
lead arsenate<3667-31-8>
lindane<58-89-9>
m-cresol<108-39-4>
raalathion<121-75-5>
maleic hydrazide<123-33-l>
mercaptodlaethur<2032-65-7>
nethanearsonates
methoxychlor<72-43-5>
methyl chloroform<71-55-6>
methyl parathlon<298-00-0>
mevinphos<7786-34-7>
mlrex<2385-85-5>
monuron<150-68-5>
naled<300-76-5>
naphthalene<91-20-3>
nltrophenol<25154-55-6>
o-cresol<95-48-7>
oct ante thy Ipyrophosphoranlde {OHPA)
   <152-16-9>
p-cresol<106-44-5>
p-dlchlorobenzene<106-46-7>
pHenol<108-95-2>
paraquat<4685-l4-7>
parathlon<56-38-2>
pentachloronltrobenzene (PCIfB)
   <82-68-8>
pentachlorophenol<87^86-5>
perchloroethylene<127-18-4>
perthane<72-56-0>
phenarsazinc chlorlde<578-94-9>
phenol<108-95-2>
phorate 298-0202
phosgene<75-44-5>
phosphorus and compounds
   <7723-14-0>
phosphorus<7723-l4-0>
phthallc acid<88-99-3>
plperonyl butoxide<51-03-6>
polychlorlnated blphenyls (PCBs)
pronanlde<23950-58-5>
propachlor<1918-16-7>
propanll<709-98-8>
proparglte<2312-35-8>
proplyene oxide<75-56-9>
propoxur<114-26-l>
pyrethriu<121-29-9>
ronnel<299-84-3>
rotenone<83-79-4>
s,srs-trlbutyl phosphorotrithloate
   <78-48-8>
safrole<94-59-7>
silvex<93-72-l>
siaazine<122-34-9>
sodium arsenate<7631-89-2>
sodium arsenite<7784-46~5>
sodium cyanlde<143-33-9>
sodium fluoroacetate (1080)
   <62-74-8>
                         881

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                             Accession No.  7205000003     (cent)

    sodium hypochlorite<7681-52-9>       tributyl phosphorotrithioate
    strobane<8001-50-l>                     <78-48-8>
    strychine<57-24-9>                   trichlorfon<52^68-6>
    strychnine<57-24-9>                  trichloroethane<25323-89-l>
    tde<72-54-8>                         trichloroethylene<79-01-6>
    tetrachloroethylene<127*18-4>        trichlorophenol (TCP)<25167-82-2>
    tetraethyl pyrophosphate<107-49-3>   trifluraline (treflan)<1582-09-8>
    thallium sulfate<7446-18-6>          trysben<50-31-7>
    thallium<7440-28-0>                  xylene<1330-20-7>
    thiophanate methyl<23564-05-8>       zinc chloride<7646-85-7>
    toxaphene<8001-35-2>                 zinc sulfate<7733-02-0>
    trlallate<2303-17-5>
 74-90-8;
    115-32-2; 143-50-0; 3687-31-8;      58-89-9; 108-39-4; 121-75-5;
    123-33-1; 2032-65-7; 72-43-5; 71-55-6;   298-00-0; 7786-34-7;
    2385-85-5; 150-68-5; 300-76-5; 91-20-3;     25154-55-6; 95-48-7;
    152-16-9; 106-44-5; 106-46-7; 108-95-2;     4685-14-7; 56-38-2;
    82-68-8; 87-86-5; 127-18-4; 72-56-0; 578-94-9;    108-95-2;
    75.44.5. 7723-14-0; 7723-14-0; 88-99-3; 51-03-6;       23950-58-5;
    1918-16-7; 709-98-8; 2312-35-8; 75-56-9; 114-26-1;   121-29-9;
    299-84-3; 83-79-4; 78-48-8; 94-59-7; 93-72-1; 122-34-9;
    7631-89-2? 7784-46-5; 143-33-9; 62-74-8; 7681-52-9; 8001-50-1;
    57-24-9; 57-24-9; 72-54-8; 127-18-4; 107-49-3; 7446-18-6;
    7440-28-0;       23564-05-8; 8001-35-2; 2303-17-5; 78-48-8;
    52-68-6; 25323-89-1;       79-01-6; 25167-82-2; 1582-09-8; 50-31-7;
    1330-20-7; 7646-85-7;   7733-02-0
(CHM)  Contact name(s): Boland^J.J.    ;    Thornss^K.
(COR)  Contact organization: Hazard Evaluation Division, Office of
    Pesticide
(ROR)  Pesponsible Organization: Office of Pesticides and Toxic
    Substances.Offlee of Pesticide Programs.Hazard Evaluat
                             882

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                             Accession No.   7206000901

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Pesticide Usage Data Base
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model:  Other-Households
CABS)  Abstract/Overview of Data Base or Model:  This data base contains
    demographic Information on     respondents and quantity data  and
    site data on pesticides used   in home*   General attitudinal
    questions on pesticide use uere used    for collection of data.
(CTC)  CONTACTS: Subject matter  L. DeLuise, Economist, Economic
    Analysis   ;     Conputer-relat
(DTP)  Type of data collection or monitoring: Point source data
    collection - households
(STA)  Data Base status: Funded for development
(DPQ)  Projected operational date of Data Base: 03-01-83
(NPP)  Ron-pollutant parameters included in the data base: Disposal
    ^Population demographics ;Site description ;Quantity data

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                             Accession No.   7206000901     (cont)

(DSR)  Current regular users of data base:  Unknown
(CNF)  Confidentiality of data and Halts on access:  No Units on
    access to data
(OLC)  Primary physical location of data: Unknown
(DST)  Form of data storage: Magnetic disc ;Microfich/film ;Grlginal
    fern (hardcopy, readings)
(DAC)  Type of data access: EPA hardware -  not yet developed
(CH6)  Direct charge for non-EPA use: No
(UPDT)  Frequency of data base master file up-date: Other-Hone
(RD8EPA)  Related EPA data bases used in conjunction with this data base
    Unknown
(CMP)  Completion of form:
    L. CeLuise
    OFC: Benefit & Field Studies Div./Economic Analysis Branch/
    Office of Pesticide Programs
    AD: 1921 Jefferson Davis Buy., Crystal Mall |2, Rm. 803,
    Arlington, Virginia
    PH: (703) 557^-7560
(OF)  Date of forn completion: 01-27-83
(CNM)  Contact narae(s): DeLuise,L*;    DeLuise/L.
(COR)  Contact organization: Economic Analysis Branch/Benefit & Field
(ROR)  Responsible Organization: Office of Pesticides and Toxic
    Substances.Dffice of Toxic Substances*Management Suppo
                             884

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                             Accession No.   7301400901

(DQ)  Date of Quest tonal re: 12-02-82
(NAN)  Dane of Data Base of Model:  Soil, Water/  Estuarlne Monitoring
    System
(ACR)  Acronym of Data Base or Model: SMEMS
(NED)  Media/Subject of Data Base or Model: Soil ;Tissue agricultural
    crops
(ABS)  Abstract/Overview of Data Base or Model:  The soils section of
    the SWEMS system contains    residue data for agricultural and
    urban soils/ raw     agricultural crops/ and agricultural cheaical
    application   data for the sites sampled.  These data nay be
    summarized   in several vays:  by material/  by state/ by county/ by
    crop/ by urban area (for urban soils)*
(CTC)  CONTACTS: Subject matter   Daniel T. Heggem    (202)382-3584 ;
    Computer-related  Qlch Levy  (202) 382-3895 ;  EPA  Office Frederick
    W. Kutz (202) 382-3569
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Operational/ongoing
(NPP)  Non-pollutant parameters Included in the data base: Sampling
    date jSite description
(DS)  Time period covered by data base: 05-01-68 TO 09-30-81
(TRM)  Termination of data collection: Not anticipated-no samples
    collected in 1981
(FRQ)  Frequency of data collection or sampling: Other  annually urban
    soil only
(NOB)  Number of observations in data base: 12500.(Estimated)
(NEI)  Estimated annual Increase of observations in data base: 500.
(INF)  Data base includes: Ran data/observations ^Summary aggregate
    observations
(NTS)  Total number of stations or sources covered in data base: 9000.
(NCS)  No. stations or sources currently originating/contributing data:
    3000.
(NOF)  Number of facilities covered in data base (source monitoring): (N
    AA.)
(GEO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source Include:
    State jcounty ;SHSA ;Preject identifier
(CDE)  Pollutant identification data are: Other coding  scheme
(LIM)  Limitation/variation in data of iihich user should be auare: Agric
    ultural data collected only 1968-1973.   1973 (FY '74) data is a
    six-year schedule/ so 2 sets of data     (different years) are
    available for most SMSAs.  Pesticide residue data has     been
    automated through 1978.  1979 data is being  analyzed but not
    automated.  1980 samples are currently     being analyzed.
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Samplln
    g plan documented ^Collection method documented ^Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but are not
    included in data base
(EDT)  Edit ting: Edit procedures used and documented.
(CBY)  Data collected by: Contractor various ;Other federal agency


                             885

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                             Accession No.  7301400901     (cont)

    Department of Agriculture, U.S.    Geological Survey >EPA
    headquarters Exposure Evaluation Division/ Office of     Toxic
    Substances
»AB¥)  Data analyzed by:  EPA headquarters Toxicant Analysis Center,
    Field Studies    Branch, Exposure Evaluation Division
CIDL3  Laboratory identification: NO
(PR2)  Secondary purpose  of data collection:  Program evaluation
(AOT)  Authorization for  data collection: Statutory authorization is P
    L 94-469, section 10  P L 92-516, as amended,   Section 20(c)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    agricultural data collected tilth OMB approved form through 1975.
(REP)  form of available  reports and outputs of data base: Publications
    Carey, A.E. and J.A.  Gouen. 1976.  PCB's in    agricultural and
    urban soil.  Pages 195-198.  In Proceedings of the   Rational
    Conference on PCBs.  EPA 560/6-75-004.
    Carey, A.E. 1974.  Soil.  In Guidelines on Sampling and
    Statistical Methodologies for Ambient Pesticide
    Monitoring.Fed.Working     Group on Pest Hgt., Hash.D.C., Oct.1074.
    Chap. Ill, III,1-111*7.
    Printouts on request
    Machine-readable ran  data
    Carey,A.£., et al. 1973. Qrganochlorine pesticide residues in
    soils and crops of the corn belt region,  U.S.-1970. Pestic. Honit.
    J. 6:369-376.
    Carey,A.E., et al. 1977. Pesticide application and cropping data
    from 37 states, 1971-National Soils Monitoring Program. Pestic.
    Monit. J.  12:137-148.
    Cat€y,A.E. and J.A. Gotten. 1979. Pesticide application and cropping
    data from 37 states in 1972-National Soils Monitoring Program.
    Pestic. Monit. J. 12:198-208.
    Crockett, A. B., et al.  1974. Pesticide residue levels in soils
    and crops, FY 70-Sational Soils Monitoring Program (II).   Pestle*
    Monit. J. 8:69-97.
    Hiersroa, G. B., et al. 1972. Pesticide Residue Levels in  Soils, FT
    1969-Kational soils Monitoring Program.  Pestic. Monit.     J.
    6:194-228.
    Carey, A. E. et al. 1976. Pesticide residues in urban     soils
    froro 14 O.S. cities,  1970.  Pestic. Honit. J.  10s54-70.
    Uiersma, G. B. et al. 1972.  Pesticide residues in soil    from
    eight cities-1969.  Pestic. Honit. J.  6:126-129.
    Carey, A. E. et al.  1978.  Pesticide residue levels  in soils and
    crops in 1971-National Soils Monitoring Program (III)    Pestic.
    Monit. J.  12:117-136.
    Carey, A. E., et al.   1978. Pesticide residue levels in soils and
    crops in 1972-National Soils Monitoring Program     (IV).  Pestic.
    Monit. J.  12:209-229.
    Carey, A. E., et al.   1980.  Heavy octal concentrations   in soils
    of five United States cities, 1972.  Urban Soils Monitoring
    Program.  Pestic. Monit. J.  13:150-154.
    Carey, A. E.  1979.  Monitoring pesticides in   agricultural and
    urban soils in the United States.  Pestic. Monit. J.  13:23-27.
    Carey, A. E.  1979. Pesticide residue concentrations in soils of


                             886

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                             Accession So.  7301400901     (cont)

    five U« S. cities.  1971. Urban Soils Monitoring     Program.
    Pestle. Monit. J.  13:17-22.
(NOS)  Number of regular users of data base: 50
(USR)  Current regular users of data base: EPA headquarter offices
    Office of Pesticide Programs, Office of  Toxic Substances, Office
    of General Counsel.
    EPA regional offices
    EPA laboratories
    Other federal agencies
    States
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: Headquarters office
(DST)  Form of data storage: Magnetic tape
(DAG)  Type of data access: EPA software Special program
    MIDS:750UOQ900 ;EPA hardware IBM 370/168
(CHG)  Direct charge for non-SPA use: no outside use/access permitted
(UPDT)  Frequency of data base master file up-dates Semi-annually

    4,4w-dde(p,p--ddx)<72-55-9>          heptachlor<76-44-8>
    aldrin<309-00-2>                     hexachlorobenzene<118-74-l>
    arsenic<7440-38-2>                   leadC7439-92-l>
    atrazine<1912-24-9>                  lindane<58-89-9>
    bhc (lindane)~gafflma<58-89-9>         malathion<121-75-5>
    cadffiiUHi<7440-43-9>                   nercury<7439-97-6>
    chlordane<57-74-9>                   methyl parathion<298-00-0>
    ddd(tde)                             mirex<2385-85-5>
    diazinon<333-41-5>                   parathion<56-38-2>
    dieldrin<60-57-l>                    pcb-1242 {arochlor 1242)
    endosulfan sulfat«<1031-07-8>           <53469-21-9>
    endosulfan-alpha<959-98-8>           pcb-1254 (arochlor 1254)
    endosulfan-beta<33213-65-9>             <11097-69-l>
    endrin aldehyde<7421-93-4>           pcb-1260 (arochlor 1260)
    endrin<72-20-8>                         <11096-82-5>
    epn (ethyl-p-nitrophenyl thionoben   polychlorlnated biphenyls (PCBs)
       zenephosonate)<2104-64-5>         propachlor<1918-16-7>
    ethion<563-12-2>                     ronnel<299-84-3>
    ethyl parathion                      tde<72-54-8>
       <56-38- 6-50-OoiK86-50-0>         trifluraline (trefIan)<1582-09-8>
(CAS)  CAS registry numbers of substances included in data base: 72-55-9
    ; 309-00-2; 7440-38-2; 1912-24-9;      58-89-9; 7440-43-9; 57-74-9;
    333-41-5; 60-57-1; 1031-07*8; 959-98-8;       33213-65-9;
    7421-93-4; 72-20-8; 2104-64-5; 563-12-2; 1024-57-3;       76-44-8;


                             887

-------
                             Accession No.   7301400901     (cent)

    118-74-1;  7439-92-1;  58-89-9;  121-75-5? 7439-97-6; 298-00-0;
    2385-85-5; 56-38-2; 53469-21-9; 11097-69-1; 11096-82-5; 1918-16-7;
    299-84-3;  72-54-8; 1582-09-8
(CNM)  Contact nane(s): Heggera/D.       ;    Levy,B.   ;    Kutz/F.tf.
(ROR)  Responsible Organization: Office of  Pesticides and Toxic
    Substances.Office of Toxic Substances.Exposure Evaluat
                             888

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                             Accession No.   7301400902

Volume/mass measures
(OS)  Time period covered by data base: 07^-01-68 TO 03-30-81
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: annually ;Other also
    includes special projects
(NOB)  Number of observations in data base:  16,000.(Estimated)
(NED  Estimated annual increase of observations in data base: 1000.
(INF)  Data base includes: Ran data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources  covered in data base: 125.
(NCS)  No. stations or sources currently originating/contributing data:
    40.
(NQF)  Number of facilities covered in data base (source monitoring): 12
    5.
(GEQ)  Geographic coverage of data base; National
(LOC)  Data elements identifying location of station or source include:
    State ;SHSA >Town/township
(FAC)  Data elements identifying facility include: Plant facility name
    ;Street address ^Program identifier /census divisions
(CDE)  Pollutant identification data are: Other coding scheme
(LIM)  Limitation/variation in data of which user should be aware: Natio
    nal survey design; data valid on   Census Division, Census Region,
    or National basis.     No others (i.e.  state) valid.
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Saaplin
    g plan documented ^Collection method documented ^Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? NO
(AUD)  Lab Audit: Lab audit Is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but are not


                             889

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                             Accession No.   7301400902     (cont)

    Included in data base
(EOT)  Editting: Edit procedures used and documented*
CCBY)  Data collected by: Other federal agency National Center for
    Health  Statistics-HANES II ; contracted hospitals-Adipose data
(A8Y)  Data analyzed by: Contractor lab 2 labs-adipose; 4 labs HAHES-II
    EPA headquarters Exposure Evaluation Division
UDL)  Laboratory Identification: YES
(PR2)  Secondary purpose of data collection: baseline data and public
    health evaluations
(AUT)  Authorization for data collection: Statutory authorization  is P
    L 94-469, section 10 (the Toxic Substances     Control Act - TSCA)
    Statutory authorization is P L 92-516, as amended, section 20  (The
    Federal Insecticide, Fungicide, and Rodenticide Act - FIFRA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    158R0140
(REP)  Form of available reports and outputs of data base: Publications
    "Survey of Selected Organochlorine Pesticides in the     General
    Population of the U.S. "j and others
    Unpublished reports PCP residues in human tissue
    Printouts on request
    Microfilm, microfiche
    Machine-readable raw data
    On-line computer

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                             Accession Ho.   7301400902
                                                           (cent)
(MAT)  Substances represented in data base:
    2f4,5-trlchlorophenol< 95-95-
       4>
    2x4,5~trichlorophenoxyacetic acid
       (T)<93-76-5>
    "if 4, 5-trichlorophenoxypropionic
       acid (TP)<93-72-l>
    2,4-d acid<94-75-7>
    2*4-dichlorophenoxyacetic acid (2,
       4-d)<94-75-7>
    2, 4-dinitrophenol<51-28-5>
    4,4'-ddd(p,p'tde)
    4,4*-dde(p,p'r-ddx)<72-55-9>
    4,4--ddt<50-29-3>
    4-nltrophenol<100-02-7>
    aldrin<309-00-2>
    bhc (lindane)-ganiraa<58-89-9>
    bhc-alpha<319-84-6>
    bhc-beta<319-85-7>
    bhc-delta<319-86-8>
    captan<133-06-2>
    carbofuran<1563-66-2>
    chlordane<57-74-9>
    chlorpyrifos<2921-88-2>
    ddd(tde)
    ddt
    dialkyl phosphates
    diazinon<333-4l-5>
    dibenzofuran<132-64-9>
    dicamba<1918-00-9>
    dleldrin<60-57-l>
    dioxin<828-00-2>
    endrin<72-20-8>
                                         ethyl parathion<56-38-2>
                                         heptachlor epoxide<1024-57-3>
                                         heptachlor<76-44-8>
                                         hex achlorobenzene< 118-7 4-l>
                                         lindane<58-89-9>
                                         •alathio«<121-75-5>
                                         BI ethyl parathion<298-00-0>
                                         nirex<2385-85-5>
                                         naled<300-76-5>
                                         naphthalene<91-20-3>
                                         nitrophenol<25154-55-6>
                                         pcb-1016 (arochlor 1016)
                                            <12674-ll-2>
                                         pcb-1221 {arochlor 1221)
                                            <11104-28-2>
                                         pcb-1232 (arochlor 1232)
                                         pcb-1242 (arochlor 1242)
                                            <53469-21-9>
                                         pcb-1248 (arochlor 1248)
                                            <12672-29-6>
                                         pcb-1254 (arochlor 1254)
                                            <11097-69-l>
                                         pcb-1260 (arochlor 1260)
                                            <11096-82-5>
                                         pentachlorophenol<87-86-5>
                                         phosphorus and compounds
                                            <7723-14-0>
                                         polychlorinated blphenyls (PCBs)
                                         propoxur<114-26-l>
                                         silvex<93-72-l>
                                         tde<72-54-8>
(CAS)  CAS registry numbers of substances included in data base:  95-95-4
    ; 93-76-5;  93-72-1; 94-75-7; 94-75-7;       51-28-5; 72-55-9;
    50-29-3; 100-02-7; 309-00-2; 58-89-9; 319-84-6;     319-85-7;
    319-86-8; 133-06-2; 1563-66-2; 57-74-9; 2921-88-2;     333-41-5;
    132-64-9; 1918-00-9; 60-57*1; 828-00-2; 72-20-8; 56-38-2;
    1024-57-3;  76-44-8; 118-74-1; 58-89-9; 121-75-5; 298-00-0;
    2385-85-5;       300-76-5; 91-20-3; 25154-55-6; 12674-11-2;
    11104-28-2; 11141-16-5;    53469-21-9; 12672-29-6; 11097-69-1;
    11096-82-5; 87-86-5; 7723-14-0;   114-26-1? 93-72-1; 72-54-8
(CNM)  Contact  name(s): Cook,B.   ;   Levy,R,
(COR)  Contact  organization: Field Studies Branch/ Exposure Evaluation
    Div.
(ROR)  Responsible Organization: Office of Pesticides and Toxic
    Substances.Office of Toxic Substances*Exposure Evaluat
                             891

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                             Accession No.   7301400903

(DQ)  Date of Questionaire: 12-02-82
(NAM)  name of Data Base of Model:  Pesticides In Ambient Air
(ACR)  Acronym of Data Base or Model?  None
(MED)  Media/Subject of Data Base or Model:  Air
(ABS)  Abstract/Overview of Data Base or Model: Pesticides in Ambient
    Air is a raw data base containing about  3/000 observations*   The
    data    can only be accessed manually.   Years of collection:
    1970-1972, and 1975 - present.   The quantity of data   collected
    each year of the 1970-1972 period is about   ten tines that of  the
    1975-1980 period.
(CTC)  CONTACTS: Subject natter   Henry Yang  (202)382-3578 J     EPA
    Office  Field    Studies Branch, Exposure Evaluation Division
(DTP)  Type of data collection or monitoring: Aablent data collection
(STA)  Data Base status: Operational/ongoing
(NPP)  Non-pollutant parameters included in  the data base: Concentration
    measures ;Flow rates ;Location ^Precipitation ;     Sampling  date
    ;Temperature ;Hind direction ;Hind velocity
(DS)  Time period covered by data bases 04-01-70 TO 09-30-81
(TRM)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: Other  monthly 90%  of
    the data
(NOB)  Number of observations in data base:  3000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: 100.
(INF)  Data base includes: Ran data/observations
(NTS)  Total number of stations or  sources covered in data base:  80.
(NCS)  No. stations or sources currently originating/contributing data:
    10.
(NOF)  Number of facilities covered in data  base (source monitoring): (N
    /A.)
(GEO)  Geographic coverage of data base: Geographic region selected
    locations in selected states
(LOC)  Data elements identifying location of station or source include:
    State jCounty ;City ;Town/township ;Street address
(CDE)  Pollutant identification data are: Uncoded
(LIM)  Limitation/variation in data of which user should be aware:  Exten
    sive annual sampling 1970-72.  No  data  1972-74*  Fewer samples
    froic 1975 on.  Currently  data base covers California* Montana,
    Illinois,   Mississippi and Texas.
(DPR)  Data collect./anal* procedures conform to GRD guidelines:  Samplin
    g plan documented ?Collection method documented ;Analysis method
    document
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(PRE)  Precision: Precision and accuracy estimates are  not available
(EOT)  Editting: No known edit procedures exist.
(CBY)  Data collected by: EPA headquarters Field Studies Branch,
    Exposure Evaluation  Division.
(ABY)  Data analyzed by: EPA lab Office of Pesticide Programs Beltway
    Lab (Washington,    D.C.) for other data.
    Contractor lab Various, currently:  Midwest Research Institute
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection: Risk assessment
(PR2)  Secondary purpose of data collection: Anticipatory/research


                             892

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                             Accession No.   7301400903      (cont)

(AUT)  Authorization for data collection:  Statutory authorization  is P
    L 92-516 as amended by PL 94-140 and      P L 95-396 section 20
    (The Federal Insecticide, Fungicide, and Rodenticide Act-FIFRA)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    Air Pollution from Pesticides and Agricultural Processes 
    2,4-d esters                        ethlon<563-12-2>
    4,4"-ddd(p,p*tde)                   ethyl parathion<56-38-2>
    4,4--dde(p,p*-ddx)<72-55-9>          guthion<86-50-0>
    4,4*-ddt<50-29-3>                   heptachlor epoxide<1024-57-3>
    aldrin<309-00-2>                    heptachlor<76-44-8>
    bhc (llndane)-ga«na<58-89-9>        hexachlorobenzene<118-74-l>
    bhc-alpba<319-84-6>                  llndane<58-89-9>
    bhc-beta<319-85-7>                  «alathion<121-75-5>
    bhc-delta<319-86-8>                 methoxychlor<72-43-5>
    captan<133-06-2>                    methyl parathion<298-00-0>
    carbofuran<1563-66-2>               parathion<56-38-2>
    chlordane<57«--74-9>                  phorate<298-02-2>
    ddd(tde)                            polychlorinated biphenyls (PCBs)
    ddt                                 ronnel<299-84-3>
    demeton<8065-48-3>                   tde<72-54-8>
    dla2inon<333-41-5>                   toxaphene<8001-35-2>
    dieldrin<60-57-l>                    trlfluraline (treflan)<1582-09-8>
    endosulfan-alpha<959-98-8>
    endosulfan-beta<33213-65-9>
    endosulfan<115-29-7>


                             893

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                             Accession No.   7301400903     (cont)

(CAS)  CAS registry numbers of substances included in data base:  72-55-9
    ; 50-29-3; 309-00-2; 58-89-9;     319-84-6; 319-85-7; 319-86-8;
    133-06-2; 1563-66-2; 57-74-9;      8065-48-3; 333-41-5; 60-57-1;
    959-98-8; 33213-65-9; 115-29-7;    72-20-8; 563-12-2; 56-38-2;
    86-50-0; 1024-57-3; 76-44-8; 118-74-1;     58-89-9; 121-75-5;
    72-43-5; 298-00-0; 56-38-2; 298-02-2; 299-84-3;    72-54-8;
    8001-35-2; 1582-09-8
(C»M)  Contact name(s): yang,H.
(COR)  Contact organization:  field Studies  Branch, Exposure Evaluation
    Division
(ROR)  Responsible Organization: Office of  Pesticides and Toxic
    Substances.OffIce of Toxic Substances.Exposure Evaluat
                             894

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                             Accession No.   7301400904

(DQ)  Date of Questionaire:  12-02-82
(NAN)  Name of Data Base of  Model:  National Estuarine Monitoring
    Program
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model: Tissue fish and shellfish
(ABS)  abstract/Overview of  Data Base  or Model:  The national Estuarine
    Monitoring Program    tested for levels of pesticides and other
    toxic   substances in fish and shellfish.   The data from  this
    program was never made Into a data base and  computerized.
(CTC)  CONTACTS: Subject matter   Dr.  F. M. Kutz  (202)755-8060    ;
    EPA Office     David Redford (202)382-3583
(DTP)  Type of data collection or monitoring:  Ambient data collection
(STA)  Data Base status: Discontinued
(NPP)  Non-pollutant parameters included in the data base:  Biological
    data ^Concentration measures ^Location  ;Sampling date ;     residue
    levels: whole fish ;residue levels: shellfish ; residue levels:  fish
    livers ; Geographic subdivision bay
(DS)  Time period covered by data base: 01-01-65 TO 12-30-78
(TRM)  Termination of data collection: Occurred 12/30/78
(FRQ)  Frequency of data collection or sampling: Other several separate
    studies, at the approximate rate of at  least    one per year
(NOB)  Number of observations in data  base: 10000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: 0.
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources  covered in data base: (over
    )200.
(HCS)  No. stations or sources currently originating/contributing  data:
    (N/JU)
(NOF)  Number of facilities  covered in data base (source monitoring): (N
    /A)
(GEO)  Geographic coverage of data base: National
(LQC)  Data elements identifying location of station or source include:
    State ;uater body
(CDE)  Pollutant identification data are: Uncoded
(LIM)  Limitation/variation  in data of which user should be auare:  Proto
    col and parameters may differ for   separate studies.
(DPR)  Data collect./anal, procedures  conform to CRD guidelines: ORD
    Guidelines
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(PRE)  Precision: Precision  and accuracy estimates are not available
(EOT)  Editting: So known edit procedures exist.
(CBY)  Data collected by: EPA lab Toxicant  Analysis Center;
    Environmental Research  Lab/ Gulf  Breeze
(ABY)  Data analyzed by: EPA lab Toxicant Analysis Center;
    Environmental Research Lab/    Gulf Breeze
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Special study
(AOT)  Authorization for data collection: Statutory authorization  is p
    L 92-516 as amended, Section 20 (The Federal   Insecticide/
    Fungicide and Rodenticide Act-FIFRA)
(OMB)  Data collected/submit ted using  OMB-approved EPA reporting forms:


                             895

-------
                             Accession No.   7301400904     (cont)

    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    "Pesticide and PCB Residues in Estuarine Flnfish"   Pesticide
    Monitoring     Journal
    journal articles
(NUS)  Number of regular users of data base: 15-20
(0SR)  Current regular users of data base:  EPA headquarter  offices
    Office of General Counsel/ Office of     Pesticides and Toxic
    Substances/ Office of Toxic Substances
    EPA regional offices
    EPA laboratories
    Other federal agencies
    States
(CNF)  Confidentiality of data and limits on access: Mo limits on
    access to data
(OLC)  Primary physical location of data: Headquarters office
(DST)  Fora of data storage: Original fora  (hardcopy, readings)
(DAC)  Type of data access: journals
(CHG)  Direct charge for non-EPA use: No
(OPDT)  Frequency of data base master file  up-date:  Other Data base no
    longer being updated
(CMP)  Completion of form:
    David Redford
    OFC: EPA/(OPTS)/(OTS)/                     endosulfan<115-29-7>
    2,4,5-trlchlorophenoxyacetlc acid    ethion<563-12-2>
       (T)<93-76-5>                      heptachlor<76-44-8>
    2,4-dichlorophenoxyacetic acid (2,   lindane<58-89-9>
       4-d)<94-75-7>                     «alathion<121-75-5>
    DEF                                  mirex<2385-85-5>
    azinphosmethyl                       parathion<56-38-2>
    carbophenothiron                     phorate<298-02-2>
    chlcrdane<57V74-9>                   polychlorinated biphenyls (PCBs)
    ddt                                  silvex<93-72-l>
    deraeton<8065-48-3>                   toxaphene<8001-35-2>
    dlazinon<333-41-5>                   trifluraline (treflan)<1582-09-8>
    dieldrin<60-57*l>
(CAS)  CAS registry numbers of substances included in data  base: 309-00-
    2; 93-76-51 94-75-7? 57-74-9;     8065-48-3; 333-41-5;  60-57-1;
    115-29-7; 563-12-2; 76-44-8; 58-89-9;   121V75-5; 2385-85-5;
    56-38-2; 298-02-2; 93-72-1; 8001-35-2;       1582-09-8
(CNM)  Contact name(s): Kutz,F*V. ;    Redford,D.
(ROR)  Responsible Organization: Office of  Pesticides and Toxic
    Substances.Off ice of toxic Substances*Exposure Evaluat
                             896

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                             Accession No.   7301400905

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  National Surface Hater Monitoring
    Program
(ACR)  Acronym of Data Base or Models NSWMP
(MED)  Kedia/Sub^ect of Data Base or Model: Surface water streams
(ABS)  Abstract/Over view of Data Base or Model:  Contains  pesticide
    residue and toxic substance    aonitoring data on 40  chemicals  at
    approximately 150   nationwide collection stations.
(CTC)  CONTACTS: Subject matter   Daniel T. Heggetn  (202)382-3534;
    Computer-related     Rich Levy (202)382-3895  ;  EPA  Office
    Frederick W. Katz (202)382-3569
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Operational/ongoing
(NPP)  Non-pollutant parameters included in the data base: Collection
    method ;Concentration measures ;Flow rates ;Geographic subdivision
    ;  Location ^Physical data ^Political subdivisions  ;Sampling date ;
    Site description ^Temperature ;Test/analysis method  ;Use
    ;Volume/mass measures
(DS)  Time period covered by data base: 05-01-76 TO 09-30-81
(TRW)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: quarterly
(NOB)  Number of observations in data base: 90000.(Estimated)
(NEI)  Estimated annual increase of observations in data  base: 600-1000.
(INF)  Data base includes: Ran data/observations
(NTS)  Total number of stations or sources  covered in data base: 150.
(NCS)  No. stations or sources currently originating/contributing data:
    150.
(NOF)  Number of facilities covered in data base (source  monitoring): (N
    /A.)
(GEO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or  source include:.
    State ^Coordinates Latitude and longitude
(FAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant identification data are: Other coding  scheme
(LIM)  Limitation/variation in data of which user should  be aware:  None
(DPR)  Data collect./anal. procedures conform to CRD guidelines: Samplin
    g plan documented /Collection method documented
(AND  Lab analysis based on EPA-approved or accepted methods? NO
(AUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist  but are not
    included in data base
(EOT)  Edittlng: Edit procedures used but undocumented.
(CBY)  Data collected by: Other federal agency U.S. Geological
    Survey-National Stream  Quality Accounting Network  (NASQAN) Stations
(ABY)  Data analyzed by: EPA lab Bay St. Louis, Ms./ Office of
    Pesticides and Toxic  Substances
    EPA headquarters Field Studies Branch/  Office of Pesticides     and
    Toxic Substances
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Trend assessment
(AUT)  Authorization for data collection: Statutory authorization Is  P
    L 92-516 as amended. Section 20 (Federal  Insecticide, Fungicide


                             897

-------
                             Accession No.   7301400905     (cont)

    and Rodenticide Act-FIFftA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms;
    QQ
(REP)  Form of available reports and outputs of data base:  On-line
    computer
(NUS)  Number of regular users of data base: 80-100
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Pesticides and Toxic Substances
    Other federal agencies
    States
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: EPA software Soil, Uater, Estuarlne
    Monitoring System (SWEMS)     MIDS:7501300900 ;EPA hardware IBM
    370/168
(CHG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base roaster file  up-date: Quarterly
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    National Soils Monitoring Program
(CMP)  Completion of form:
    Thomas Dixon
    OFC: EPA/(OPTS)/(EED)/(FSB)/(OTS)
    AD: 401 M st, S.W. Washington, DC 20460
    PH: (202) 755-8060
(DF)  Date of form completion: 01-26-83
(NMAT)  Number of substances represented in data base: 43
(NCAS)  Number of CAS registry numbers in data base: 35
(MAT)  Substances represented in data base:
    (2,3,6-trichlorophenyl)aceti         endosulfan-alpha<959-98-8>
       c acid (fenac)                    endosulfan-beta<33213-65-9>
    2,4,5-trichlorophenol<95-95-4>       endrin<72-20-8>
    2,4,5-trichlorophenoxyacetic acid    enothion)
       (T)<93-76-5>                      ethion<563-12-2>
    2,4-dichlorophenoxyacetic acid (2,   heptachlor epoxide<1024-57-3>
       4-d)<94-75-7>                     heptachlor<76-44-8>
    alachlor<15972-60-8>                 hexachlorobenzene<118-74-l>
    aldrin<309-00-2>                     isodrin<465-73-6>
    atrazine<1912-24-9>                  malathion<121-75-5>
    bhc (lindane)-gamma<58-89-9>         nethoxychlor<72-43-5>
    bhc-alpha<319-84-6>                  methyl parathion<298-00-0>
    bhc-beta<319-85-7>                   parathion<56-38-2>
    chlordane<57-74-9>                   pentachlorophenol<87-86-5>
    chlorinated naphthalenes             phorate<298-02-2>
    ddt                                  polybronlnated biphenyls (PBBs)
    dia2inon<333-41-5>                   propachlor<1918-16-7>
    dicamba<1918-00-9>                   ronnel<299-84-3>
    dieldrin<60-57-l>                    sC(p-chlorophenylthio)methy!3 0,0-
    dimethyl tetrachloroterephthaiate       diethy1 phosphorordithioate
               silvex<93-72-l>


                             898

-------
                             Accession No.   7301400905     (cont)

    siniazine<122-34-9>                   tributyl phosphorotrithioite
    toxaphene<8001-35-2>                    (merphos)
    tributyl phosphorotrlthioate         trlfluraline 
       <78-48-8>
(CAS)  CAS registry numbers of substances included In data base: 95-95-4
    ; 93-76-5;  94-75-7; 15972-60-8;   309-00-2? 1912-24-9; 58-89-9;
    319-84-6; 319-85-7; 57-74-9; 333-41-5;        1918-00-9; 60-57-1;
    1031-07-8;  959-98-8; 33213-65-9; 72-20-8;    563-12-2; 1024-57-3;
    76-44-8; 118-74-1; 465-73-6; 121-75-5;  72-43-5;       298-00-0;
    56-38-2; 87-86-5; 298-02-2; 1918-16-7;  299-84-3; 93-72-1;
    122-34-9; 8001-35-2; 78-48-8; 1582-09-8
(CNM)  Contact  narae(s): Heggein,D.  ;    Levy,R. ;    Heggem/D.
(ROR)  Responsible Organization: Office of  Pesticides and Toxic
    Substances.Offlee of Toxic Substances*Exposure Evaluat
                             899

-------
                             Accession No.   7301400909

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model;  Chemicals Identified  in  Human
    Biological Media
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model:  Other  Not applicable-data
    obtained from published  sources
(ABS)  Abstract/Overview of  Data Base  or Model:  Centralized collection
    of human body burden data from world literature and other  sources
    is contained in this data     base*  Data is accessible by  tissue,
    chemical and other pertinent    factors. Approximately 500
    chemicals are In data base retro-     spective  to 1974.   Reports  are
    published annually in tabular     foraat and available  on-line on
    ReCGN and DIALOG.
(CTC)  CONTACTS: Subject matter  Cindy Stroup OTS/EED/DDB  (202)
    382-3891   ;     Computer-related  Cindy  Stroup QTS/EED/DDB
    (202)382-3891  ;  EPA Office    Cindy Stroup  OTS/EED/DDB
    (202)382-3891
(DTP)  type of data collection or monitoring: Combination/Other data
    collection -human body burden
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in Data  Base: 129 307 CHA j299
    hazardous substances ;54 TSCA assessment ;RCRA hazardous wastes  15
    metals
(NPP)  Non-pollutant parameters included in  the  data base:  Chemical
    data ^Collection method  ^Concentration measures ^Exposure data }
    Geographic subdivision ^Health effects ;0ther-toxicity
    ;0ther-pathology j  Other-tissue ;Other-experimental design
    .^Other-metals ;0ther-pesticides
(DS)  Time period covered by data base: 01-01-74 TO 10-31-81
(TRM)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: daily
(NOB)  Number of observations in data  base:  5000(Actual)
(NED  Estimated annual increase of observations in data base:  1500
(IMF)  Data base Includes: Ran data/observations ;Summary or aggregate
    observations ^Reference  data/citatio
(NTS)  Total number of stations or sources covered in data  base:  (N/A)
CNCS)  No. stations or sources currently originating/contributing data:
    (N/A)
(NOF)  Number of facilities  covered in data  base (source monitoring): (N
    /A)
(GEO)  Geographic coverage of data base: International
(LOC)  Data elements identifying location of station or  source  include:
    State ;County /City jOther-country
(FAC)  Data elements identifying facility include: Not  applicable
(CDE)  Pollutant identification data are: CAS registry  number
(LIM)  Limitation/variation  in data of which user should be aware: Data
    has not been evaluated.   User must exercise   oun professional
    judgement*
(DPR)  Data collect./anal, procedures  conform to ORD guidelines:  Conform
    to CRD QA Guidelines-N/A
(ANL)  Lab analysis based on EPA-approved or accepted methods?  Lab
    analysis is not applicable.


                             900

-------
                             Accession No.   7301400909      (cont)

(ADD)  Lab Audit:  Lab audit is not applicable.
(PRE)  Precision:  Precision and accuracy estimates are  not applicable.
(EOT)  Editting: No known edit procedures exist*
(CflY)  Data collected by: Self reporting ;Local agency  ;State agency
    ;Regional office ;     Other federal agency ;EPA headquarters
    jQther-published literature
(ABY)  Data analyzed by:  Self reporting
    Local agency
    State agency
    Regional office
    Other federal  agency
    EPA headquarters
    Other-published literature
(AOT)  Authorization for  data collection: Statutory authorization  is
    TSCA Section 10 P.L.  94-469
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base: Publications-
    Chemicals Identified  in Human Biological  Media: A  Data Base,  1st
    and 2nd Annual Reports.  Third in progress.
    Unpublished reports-Third Annual Report In progress.
    On-line computer
(NDS)  Number of  regular  users of data base: 10000
(USR)  Current regular users of data base:  EPA headquarter offices-Air,
    Water, QTS, OPP, Enforcement
    SPA regional  offices
    Other federal  agencies
    States
    international  mailing list
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: Contractor
(DST)  Form of data storage: Magnetic disc ^Original form (hardcopy,
    readings)
(DAC)  Type of data access: Manually ;ReCON, DIALOG
(CHG)  Direct charge for  non-EPA use: No
(UPDT)  Frequency  of data base master file up-date: Weekly
(CMP)  Completion  of form:
    Cindy Stroup
    DFC: GTS/Exposure & Evaluation Div/Office of Toxic  Substances/EPA
    AD: 401 M. Street/ S.W. Washington, D.C. 20460  (ET-305)
    PH: (202) 382-3891
(DF)  Date of form completion: 01-26-83
(NMAT)  Number of  substances represented in data base:  668
Of CAS)  Number of  CAS registry numbers in data base: 648
(MAT)  Substances  represented in data base:
                                         0,0-dlethyl-0-(2-pyrazinyl)
    *azirino(2"3-:3,4)-pyrrolo(l,2-a)       phosphorothioate<297-97-2>
       indole-4,7-dione                             ester of phosphorodithioic  acid
    0,0-diethyl phosphoric acid,0-p-     0,0-diethyl-s-methyl ester of
       nitrophenyl ester<311-45-5>          phosphorodithioic acid


                             901

-------
                         Accession No.  7301400909
                  (cont)
1,1,1, 2-tetrachloroethane
   <630-20-6>
Ifl,l-trichloroethane<71-55-6>
1,1,2, 2-tetrachloroethane<79-34-5>
l,l,2-trichloroethane<79-00-5>
l,l,2-trIchloroethene<79-01-6>
I,l-dlchloroethane<75-34-3>
t,l-dichloroethylene<75-35-4>
l,l-dimethylhydrazlne<57-14-7>
If 2, 3, 4,10,10-hexachloro-l, A, 4a^ 5,
   8,8a~hexahydro-l, 4:5, 8-endo,
   endo-dimethan
1,2,4,-trichlorobenzene 1,2,4,5-
   tetrachlorobenzene<95-94-3>
l,2-dibromo-3-chloropropane (dbcp)
   <96-12-8>
If2-dibromoethane<106-93-4>
If2-dichlorobenzene<95-50-l>
ly2-dichioroethane<107-06-2>
l,2-dichloropropane<78-87-5>
If 2-dichloropropylene<563-54-2>
l,2-diethylhydrazine<1615-80-l>
If2-dimethyIhydrazine<540-73-8>
l,2-diphenylhydrazine<122-66-7>
ly2-propanediol<57-55-6>
If 2-trans-dichloroethyl«ne
   <156-60-5>
If3-dichlorobenzene< 541-73-l>
If3-dichloropropene<542-75-6>
l,3-pentadiene<504-60-9>
1,3-propane sultone<1120-71-4>
If4-dichloro-2-butene<110-57-6>
If4-dichlorobenzene<106~46-7>
l,4-dioxane<123-91-l>
It4-naphthoquinone<130-15-4>
l-(o-chlorophenyl)thiourea
   <5344-82-l>
l-(p-chlorobenzoyl)-5-methoxy-2-
   roethylindole-3-acetic acid
   <53-86-l>
l-chloro-2,3-epoxypropane
   <106-8 l-napnthyl-2-thiourea
   <86-88-4>
l-naphthylamine<134-32-7>
2/2-dichloropropionic acid
   <75-99-0>
2,3y4/6-tetrachlor<«>henol<5a-90-2>
2f4f5-t amines
2,4y5-t esters
2,4,5-t salts
2f 4,5-tp acid esters
2,4y5-trichlorophenol<95-95~4>
2^4,5-trlchlorophenoxyacetic acid
   
2y4,5-trichlorophenoxypropionic
   acid 
2,4,6-trichlorophenol<88-06-2>
2,4,7,8-tetrachlorodibenzo-p-
   dioxin (tcdd)
2,4-d acid<94-75-7>
2^4-d esters
2,4-dichlorophenol<120-83-2>
2,4-dichlorophenoxyacetic acid (2,
   4-d)<94-75-7>
2,4-di«ethylphenol<105-67^9>
2,4-dinitrophenol<51-28-5>
1f4-dinitrotoluene<121-14-2>
2,4-dithiobiuret<541-53-7>
2f6-dichlorophenol<87-65-0>
2,6-dinitrotoluene<606-2Q-2>
2-acetylarainoflourene<53-96-3>
2-butanone peroxide<1338-23-4>
2-chloroethylvinyl ether<110-75-8>
2-chloronaphthalene<91-58-7>
2-chlorophenol<95-57-8>
2-cyclohexyl-4/6-dinitrophenol
   <131-89-5>
2-fluoroacetanide (1081)<640-l9-7>
2-methyl-2-Cmethylthio)propionalde
   hyde
   o-(raethylcarbaaioyl)oxime
   <116-06-3>
2-methylaziridine<75-55-8>
2-methyllactonitrile<75-86-5>
2-naphthylamine<91-59-8>
2-nltrophenol<88-75-5>
2-nitropropane<79-46-9>
2-picoline<109-06-8>
2-p ropyn-1-ol
2-sec butyl-4^6-dinitrophenol
   <88-85r7>
3,3*-dichlorobenzidine<91-94-l>
3,3"-diaethoxybenzidine<119-90-4>
3,3--dimethyi-l(Eethylthio)-2-
   butanone-0-<(methylamino)
   c arbony1)oxime
3,3 *-dimethylbenzidine
   <119-9 3,4-benzofluoranthene
   <205-99-2>
3,4-dihydroxy-alpha-((methylamino)
   nethyl) benzyl alcohol<51-43-4>
3-chloropropionitrile<542-76-7>
3-fflethylcholanthrene<56-49-5>
3 9196-18-4>
                         902

-------
                         Accession No.  7301400909
                  (cont)
4,4*-ddd(p,p*tde)<72-54-8>
4,,4--dde(p,P*-ddx<72-55-9>
4,4'-ddt<50-29-3>
4, 4'-tnethylene-bis-(2-chloroanilin
4,6-dinitro-o-cresol<534-52-l>
4-Aminopyridine<504-24-5>
4-broraophenyl phenyl ether
   <101-55-3>
4-chloro-o-toluidine hydrochloride
   <3165-93-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
5-(aminomethyl)-3-isoxazolol
   <2763-96-4>
5-nitro-o-toluidine< 99-55- 8>
6-amino-l/la/2/8/8a/8b-hexahydro-
   B-hydroxyraethyl-B-methoxy-S-
   methylcarbainat
Octaraethylpyrophosphor amide (OMPA)
   <152-16-9>
acefiaphthene<83-32-9>
acenaphthylene<2 08-96- 8>
acetal dehyde<75-07-0>
acetic acid<64-19-7>
acetic anhydride<108-24-7>
acetone cyanohydrin<75-86-5>
acetone<67-64-l>
acetonitrile<75-05-8>
ace tophenone<98-86-2>
acetyl broraide<506-96-7>
acetyl chloride<75-36-5>
acrolein<107-02-8>
acrylaroide<79-06-l>
acrylic acid<79-10-7>
acrylonitrile<107-13-l>
adipic acid<124-04-9>
aldrin<309-00-2>
allyl alcohol<107-18-6>
allyl chloride<107-05-l>
alpha, alpha- dimethyl benzylhydr o-
   peroxide<80-15-9>
alpha/ alpha- dime thy Iphenethylamine
   <122-09-8>
alpha-chlorotoluene<100-44-7>
aluminum phosphide<20 859-7 3-8>
aluiinum sulfate<10043-01-3>
aroitrole<61-82-5>
aniBonia<7664-41-7>
ammonium acetate<631-61-8>
ammonium benzoate<1863-63-4>
ammonium bicarbonate<1066-33-7>
ammonium bichronate<7789-09-5>
ammonium bif iuoride<1341-49-7>
ammonium bisulf ite<10192-30-0>
ammonium carbamate
ammonium carbonate<506-87-6>
ammonium chloride<12125-02-9>
ammonium chromate<7788-98-9>
ammonium citrate<7632-50-0>
ammonium f luoborate<13826-83-0>
ammonium f luoride<12125-01-8>
ammonium hydroxide<1336-21-6>
ammonium oxalate<1113-38-8>
ammonium picrate<131-74-8>
ammonium silicofluoride
   <16919-19-0>
ammonium sulf amate<7773-06-0>
ammonium sulfide<12135-76-l>
ammonium sulf ite<10196-04-0>
ammonium tartrate<3164-29-2>
ammonium thlocyanate<1762-95-4>
ammonium thiosulf ate<7783-18-8>
amyl acetate<628-63-7>
aniline<62-53-3>
anthracene<120-12-7>
antimony pentachloride<7647-18-9>
antimony potassium tart rate
antimony trlbroraide<7789-61-9>
antimony trichloride<10025-91-9>
antimony trifluoride<7783-56-4>
antimony<7440-36-0>
arsenic acid<1327-52-2>
arsenic disulf ide<1303-32-8>
arsenic pentoxide<1303-28-2>
arsenic trichloride<7784-34-l>
arsenic trioxide<1327-53-3>
arsenic trisulf ide<1303-33-9>
arsenic<7440-38-2>
asbestos<1332-21-4>
auraraine<2465-27-2>
azaserine<115-02-6>
barium cyanide<542-62-l>
barium<7440-39-3>
benz(c)acridine<225-51-4>
benzal chloride<98-87-3>
benzene<71-43-2>
benzenesulfonyl chloride<98-09-9>
benzene thlol<108-98-5>
benzidine<92-87-5>
benzo(a)anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
                         903

-------
                         Accession No.  7301400909
                  (cont)
benzo(g,h, i)perylene<191-24-2>
benzo(k)fluoranthene<207-08-9>
benzole acid<65-85-0>
benzonltrile<100-47-0>
benzotrichloride<98-07-7>
benzoyl chloride<98-88-4>
benzyl chloride<100-44-7>
beryllium chloride<7787-47-5>
beryllium dust
beryllium fluoride<7787-49-7>
beryllium nitrate<13597-99-4>
beryllium<7440-41-7>
bhc (lindane)-garama<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
bis(2-chloroethoxy)raethane
bIs(2-chloroethyl)ether
bls{2-chlorolsopropyl )ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis(chloromethyl)ether<542-88-l>
broo»oacetone<598-31-2>
bro»omethane<74-83-9>
bruclne<357-57-3>
butyl acetate
butyl benzyl phthalate<85-68-7>
butylamine<109-73-9>
bytyrlc acld<107-92-6>
cadmium acetate<543-90-8>
cadmium bromide<7789-42-6>
cadmium chloride
cadffiiuni<7440-43-9>
calcium arsenate<7778-44-l>
calcium arsenite<52740-16-6>
calcium carbide<75-20-7>
calcium chromate<13765-19-0>
calcium cyanide<592-01-8>
calcium dodecylbenzenesulf onate
   <26264-06-2>
calcium hyaroxide<1305-62-0>
calcium hypochlorlte<7778-54-3>
calcium oxide<1305-78-8>
captan<133-06-2>
carbaryl<63-25-2>
carbofuran<1563-66-2>
carbon disulfide<75-15-0>
carbon tetrachloride<56-23-5>
carbonyl f luoride<353-50-4>
chloral<75-87-6>
chloraffibucil<305-03-3>
chlordane<57-74-9>
chlorinated ethanes
chlorinated naphthalenes
chlorine<7782-50-5>
chloroac€taldehyde<107-20-0>
chlorobenzene<108-90-7>
chlorobenzilate<510-15-6>
chlorodibromoraethane<124-48-l>
chioroethane<75-00-3>
chloroethene<75-01-4>
chloroethyl vinyl ether<110-75-8>
chlorofluorocarbons
chlorofoio<67-66-3>
chloromethane<74-87-3>
chlororoethyl methyl ether
   <107-30-2>
chloroprene<126-99-8>
chlorosulfonic acid<7790-94-5>
chlorpyrifos<2921-88-2>
chromic acetate<1066-30-4>
chronic acid<7738-94-5>
chromic sulfate<10101-53-8>
chromiura<7440-47-3>
chromous chloride<10049-05-5>
chrysene<218-01-9>
cobalt<7440-48-4>
cobaltous broaide<7789-43-7>
cobaltous formate<544-18-3>
cobaltous sulfamate<14017-41-5>
copper cyanlde<544-92-3>
copper<7440-50-8>
coumaphos<56-72-4>
cresol<1319-77-3>
cresylic acid<1319-77-3>
crotonaldehyde<4170-30-3>
curaene<98-82-8>
cuprlc acetate<142-71-2>
cupric acetoarsenite<12002-03-8>
cupric chloride<7447-39-4>
cupric nltrate<3251-23-8>
cupric oxalate<814-91-5>
cupric sulfate ammoniated
   <10380-29-7>
cupric sulfate<7758-98-7>
cupric tartrate<815-82-7>
cyanide
cyanogen bromide<506-68-3>
cyanogen chloride<506-77-4>
cyanogen<460-19-5>
cyclohexane<110-82-7>
cyclohexanone<108-94-l>
                         904

-------
                         Accession No.  7301400909
                  (cont)
cyclophospham!de<50-18-0>
daunomycin<20830-81-3>
ddd(tde)<72-54-8>
ddt<50-29-3>
di-isopropylfluorophosphate
   <55-91-4>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
di-n-propylnitrosaraine<621-64-7>
diallate<2303-16-4>
diazinon<333-41-5>
dibenzo( a/h) anthracene<53-70-3>
dibenzol(a,i}pyrene
dibromochloromethane<124-48-l>
dibromomethane<74-95-3>
dlcainba<1918-00-9>
dicnlobenil<1194-65-6>
dichlone<117-80-6>
dichlorobenzene<25321-22-6>
dichlorobroraomethane<75-27-4>
dichlorodifluoromethane<75-71-8>
dlcMoromethane<75-09-2>
dichlorophenylarsine<696-28-6>
dlchloropropane<78-87-5>
dichloropropene-dichloropropane
   mixture<8003-19-8>
dichloropropene<542-75-6>
dichlorvos<62-73-7>
dieldrin<60-57-l>
diepoxybutane<1464-53-5>
diethyl phthalate<84-66-2>
diethylamine<109-89-7>
diethylarsine
diethyIstilbestrol<56-53-l>
dihydrosafrole<94-58-6>
dlmethoate<60~51-5>
dimethyl phthalate<131-ll-3>
dimethyl sulfate<77-78-l>
dimethylamine<124-40-3>
dimethyIcarbaraoyl chloride
   <79-44-7>
diracthylnitrosamlne<62-75-9>
dinitrobenzene<25154-54-5>
dinitrophenol
dinitrotoluene<25321-14-6>
dioxin<828-00-2>
dipropylamine<142-84-7>
diquat<2764-72-9>
disulfoton<298-04-4>
diuron<330-54-l>
dodecylbenzenesulfonic acid
   <27176-87-0>
e
edta<60-00-4>
endosulfan sulfatc<1031-07-8>
endosulfan-alp!ia<959-98-8>
endosulfan-beta<33213-65-9>
endosulfan<115-29-7>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
epichlorohydrin<106-89-8>
ethion<563-12-2>
ethyl acetate<141-78-6>
ethyl acrylate<140-88-5>
ethyl ether<60-29-7>
ethyl methacrylate<97-63-2>
ethyl methanesulfonate<62-50-0>
ethylbenzene<100-41-4>
ethylcyanide<107-12-0>
ethylene bisdithiocarbairate
ethylene dibromide<106-93-4>
ethylene dichloride<107-06-2>
ethylene oxide<75-21-8>
ethylene thiourea<96-45-7>
ethylenediamine<107-15-3>
ethyleneimine<151-56-4>
ferric amaoniuni citrate<1185-57-5>
ferric aremonium oxalate
   <14221-47-7>
ferric chloride<7705-08-0>
ferric cyanide
ferric fluoride<7783-50-8>
ferric nitrate<10421-48-4>
ferric sulfate<10028-22-5>
ferrous ammonium sulfate
   <10045-89-3>
ferrous chloride<7758-94-3>
ferrous sulfate<7720-78-7>
fluoranthene<206-44-0>
fluorene<86-73-7>
fluorine<7782-41-4>
fluoroacetic acid, sodium salt
   <62-74-8>
fluorotrichloromethane<75-69-4>
formaldehyde<50-00-0>
formic acid<64-18-6>
ftunaric acid<110-17-8>
furan
furfural<98-01-l>
glycidylaldehyde<765-34-4>
guthion<86-50-0>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
                         905

-------
                         Accession Ho.  7301400909
                  (cent)
hexachlorobutadiene<87-68-3>
hexachlorocyclohexane<58-89-9>
hexachlorocyclopentadiene<77^47-4>
hexachloroethane<67-72-l>
hexachlorophene<70-30-4>
hexachloropropene<1888-71-7>
hexaethyl tetraphosphate<757-58~4>
hydrazine<302-01^2>
hydrochloric acid<7647-01-0>
hydrocyanic acid<74-90-8>
hydrofluoric acid<7664-39-3>
hydrogen cyanide<74-90-8>
hydrogen sulfide<7783-06-4>
hydroxydimethyl arsine oxide
   <75-60-5>
indeno (lf1,3-cd)pyrene<193-39-5>
iodomethane<74-88-4>
iron dextran<9004-66-4>
iron<7439-89-6>
Isobutyl alcohol<78-83-l>
isocyanic acids methyl ester
   <624-83-9>
isophorone<78-59-l>
isoprene<78-79-5>
isopropanolamine dodecylbenzene
   sulfonate<54590-52-2>
isosafrole<120-58-l>
kelthane<115-32-2>
kepone<143-50-0>
lasiocarplne<303-34-4>
lead acetate<301-04-2>
lead arsenate<3687-31-8>
lead chloride<7758-95-4>
lead fluorborate<13814-96-5>
lead fluoride<7783-46-2>
lead iodide<10101-63-0>
lead nitrate<10099-74-8>
lead phosphate<7446-27-7>
lead stearate<1072-35-l>
lead subacetate<1335-32-6>
lead sulfate<7446-14-2>
lead sulfide<1314-87-0>
lead thiocyanate<592-87-0>
lead<7439-92-l>
lindane<58-89-9>
lithium chromate<14307-35-8>
ra-cresol<108-39-4>
m-xylene<108-38-3>
roalathion<12l-75-5>
maleic acid<110-16-7>
maleic anhydride<108-31~6>
maleic hydrazide<123-33-l>
malononitrile<109-77-3>
aanganese and compounds <7439-96-5>
melphalan<148-82-3>
mercaptodimethur<2032-65-7>
mercuric cyanide<592-04-l>
nercuric nitrate<10045-94-0>
mercuric sulfate<7783-35-9>
mercuric thiocyanate<592-85-8>
raercurous nitrate<10415-75-5>
mercury fulminate<628-86-4>
mercury<7439-97-6>
methanethlol<74-93-l>
nethapyrllene<91-80-5>
fflethoinyl<16752-77-5>
methoxychlor<72-43-5>
methyacrylonitrile<126-98-7>
methyl chlorocarbonate<79-22-l>
methyl ethyl ketone (mek)<78-93-3>
methyl ethyl ketone peroxide
   <1338-23-4>
methyl hydrazine<60-34-4>
methyl iodide<74-88-4>
methyl isobutyl ketone<108-10-l>
methyl mercaptan<74-93-l>
methyl m«thacrylate<80-62-6>
methyl parathion<298-00-0>
methylthiouracil<56~04-2>
mevinphos<7786-34-7>
mexacarbate<315-18-4>
monoethylaralne<75-04-7>
monome thy 1 amine<7 4- 89-5>
nrn-bis(2-chloroethyl)-2-naphthyla
   nine<494-03-l>
n-butyl alcohol<71-36-3>
n-butyl phthalate<84-74-2
   n-mettiyl-n*-nitro-n-
   nitrosoguanidine<70-25-7>
n-nitroso-n-ethylurea<759-73~9>
n-nitroso-n-methylurea<684-93-5>
n-nitroso-n-rae thy lure thane
   <615-53-2>
n-nitrosodi-n-butylaraine<924-16-3>
n-nitros«di-n-propylaioine
   <621-64-7>
n-nitrosodiethanolaffiine<1116-54-7>
n-nitrosodlethylamine<55-18-5>
n-nitrosodi«ethylamine<62-75-9>
n-nitrosodiphenylamine<86-30-6>
n-nitrosomethylvinylamine
   <4549-40-0>
n-nitrosopiperidine<100-75-4>
                         906

-------
                         Accession No.   7301400909
                  (cont)
n*nitrosopyrrolidine<930-55-2>
n-phenylthiourea<103-85-5>
n-propylamine<107-10-8>
naled<300-76-5>
naphthalene<91-20-3>
naphthenic acid<1338-24-5>
nickel ammonium sulf ate<7785-20-8>
nickel carbonyl<12612-55-4>
nickel chloride<7718-54-9>
nickel cyanide<557'19-7>
nickel hydroxide<12054-48-7>
nickel nitrate<13138-45-9>
nickel sulfate<7786-81-4>
nickel<7440-02-0>
nicotine and salts<54-ll-5>
nitric acid<7697-37-2>
nitric oxide<10102-43-9>
nitrobenzene<98-95-3>
nitrogen dioxide<10102-44-0>
nitrogen peroxide<10102-44-0>
nitrogen tetroxide<10544-72-6>
nitroglycerine<55-63-0>
nitrophenol<25!54-55-6>
nitrotoluene
o-cresol<95-48-7>
o-toluidine hydrochloride
   <636-21-5>
o-xylene<95-47-6>
oil and grease
oleyl alcohol condensed with 2
   moles ethylene oxide<9004-98-2>
onaphthalene<465-73-6>
osniuo tetroxide<208!6-12-0>
p-chloro-o-cresol<59-50-7>
p-chloroaniline<106-47-8>
p-cresol<106-44-5>
p-dime thyl aminoazobenzene<60-ll-7>
p-nitroaniline<100~01-6>
P-xylene<106-42-3>
paraformaldehyde<30525-89-4>
paraldehyde<123-63-7>
parathioiK 56-38- 2>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorobenzene<608-93-5>
pentachloroethane<76-01-7>
pentachloronltrobenzene (PCNB)
   <82-68-8>
pentachlorophenol<87-86-5>
phenacetin<62-44-2>
phenanthrene<85-01-8>
phenol<108-95-2>
phenyl dichloroarsine<696-28-6>
phenyltnercury acetate<62-38-4>
phorate<298-02-2>
phosgene<75-44-5>
phosphine<7803-51-2>
phosphoric acid<7664-38-2>
phosphorothioic acid,o,o-diraethyl
   ester^o-ester with n,n*dimethyl
   benzene s
phosphorus oxychloride
   < phosphorus pentasulfide
   <1314-80-3>
phosphorus sulfide<1314-80-3>
phosphorus trichloride<7719«-12-»2>
phosphorus<7723-14-0>
phthalic anhydride<85-44-9>
polybrofflinated biphenyls (PBBs)
polychlorinated biphenyls (PCBs)
   <1336-36-3>
potassium arsenite<10124-50-2>
potassium blchromate<7778-50-9>
potassiue chromate<7789-00-6>
potassiust cyanide<151-50-8>
potassium hydroxide<1310-58-3>
potassiun permanganate<7722-64-7>
potassium silver cyanide<506-61-6>
potassium-arsenate<7784-41-0>
pronaBide<23950-58-S>
propargite<2312-35-8>
prop ionic acid<79-09-4>
propionic anhydride<123-62«6>
propionitrile<107-12-0>
propylene oxide<75-56-9>
pyrene<129-00-0>
pyrethrin<121-29-9>
pyridine<110-86-l>
quinoline<91-22-S>
quinones
reserpine<50-55-5>
resorcinol<108-46-3>
                         907

-------
                         Accession No.  7301400909
                  (cont)
saccharin<81-07-2>
safrole<94-59-7>
selenious acid<7783-00-8>
selenium oxide<12640-89-0>
selenium sulfide<7446-34-6>
selenlura<7782-49-2>
selenourea<630-10-4>
silver cyanide<506-64-9>
silver nitrate<7761-88-8>
silver<7440-22-4>
sodium arsenate<7631-89-2>
sodium arsenite<7784-46-5>
sodium azide<26628-22-8>
sodium bichroraate<10588-01-9>
sodium bifluoride<1333-83-l>
sodium bisulfite<7631-90-5>
sodium chromate<7775-ll-3>
sodium cyanide<143-33-9>
sodium dodecylbenzenesulfonate
   <25155-30-0>
sodium £luoride<7681-49-4>
sodium hydrosulfide<16721-80-5>
sodium hydroxide<1310-73-2>
sodium hypochloJcite<7681-52-9>
sodium methylate<124-41-4>
sodium nitrite<7632-00-0>
sodium phosphate* dibasic
   <7558-79-4>
sodium phosphate, tribasic
   <7601-54-9>
sodium selenite<10102-18-8>
sodium<7440-23-5>
streptozotocin
strontium chromate<7789-06-2>
strontium sulfide<1314-96-l>
strychnine<57-24-9>
styrene<100-42-5>
sulfur monochloride<10025-67-9>
sulfuric acid<7664-93-9>
tde<72-54-8>
tetrachloroethene<127-18-4>
tetrachloroethylene
tetrachloromethane<56-23-5>
tetraethyl dithiopyrophosphate
   <36 89-24-5>
tetraethyl lead<78-00-2>
tetraethyl pyrophosphate<107«49-3>
tetrahydofuran<109-99-9>
tetranitromethane<509-14-8>
thallic oxide<1314-32-5>
thallium acetate<563-68-8>
thallium carbonate<29809-42-5>
thallium chloride<7791-12-0>
thallium nitrate<10102-45-l>
thallium selenite<12039-52-0>
thallium sulf ate<7 446-1 8-6>
thallium<7440-28-0>
thioacetamide<62-55-5>
thiosemicarbazlde<79-19-6>
thiourea<62-56-6>
thiurara<137-26-8>
titantu!B<7440-32-6>
toluene diisocyanate<26471-62-5>
toluene<108-38-3>
toluenedlaBine<25376-45-8>
toxaphene<8001-35-2>
tribromoaethane<7 5-25-2 >
trichlorfon<52-68-6>
trichloroethane<25323-89^1>
trichloroethene<79-01-6>
trichloroethylene<79-01-6>
trichlorofluororaethane<75-69-4>
trichloromethanethiol<75-70-7>
trichloropnenol (TCP)<25167-82-2>
triethanolamine dodecylbenzenesulf
   onate<27323-41-7>
triethylamine<121-44-8>
trimethylanine
   <75-50-3> trinitrobenzene
   <99-35-4>
trls( 2, 3-dibromop ropy 1) phosphate
   <126-72-7>
trypan blue<72-57-l >
ulfonamide<52-85-7>
uracil mustard<66-75-l>
uranyl acetate<541-09-3>
uranyl nitrate<10102-06-4>
urethane<51-79-6>
vanadic acid, ammonium salt
vanadium pentoxide<1314-62-l>
vanadlum<7440-62-2>
vanadyl sulfate<27774-13-6>
vinyl acetate<108-05-4>
vinyl chloride<7S-01-4>
vinylidene chloride<75-35-4>
xylene<1330-20-7>
xylenol<1300-71-6>
zinc acetate<557-34-6>
zinc amraoniura chloride
zinc borate<1332-07-6>
zinc bro«ide<7699-45-8>
zinc carbonate<3486-35-9>
zinc chloride<7646-85-7>
                         909

-------
                             Accession No.  7301400909     (cont)

    zinc cyanide<557-21-l>               zinc sulfate<7733-02-0>
    zinc fluoride<7783-49-5>             zinc<7440-66-6>
    zinc formate<557-41-5>               zirconium nitrate
    zinc hydrosul£it€<7779-86-4>         zlrconiuB potassiua fluoride
    zinc nitrate<7779-88-6>                 <16923-95-8>
    zinc phenol sul£onat*<127-82-2>      zirconium sulfate<14644-61-2>
    zinc phosphide<13l4-84-7>            zlrconiti* tetrachlorlde
    zinc silicofluoride<16871-71-9>         <10026-ll-6>
(CAS)  CAS registry numbers of substances Included in data base: 50-07-7
    ; 311-45-5; 297-97-2; 630-20-6;   71-55-6; 79-34-S; 79-00-5;
    79-01-6; 75-34-3; 75-35-4; 57-14-7;   95-94-3; 96-12-8; 106-93-4;
    95-50-1; 107-06-2; 78-87-5; 563-54-2;     1615-80-1; 540-73-8;
    122-66-7; 57-55-6; 156-60-5; 541-73-1; 542-75-6;      504-60-9;
    1120-71-4;  110-57-6; 106-46-7; 123-91-1; 130-15-4;     5344-82-1;
    53-86-1; 134-32-7; 75-99-0; 58-90-2; 95-95-4; 93-76-5;     93-72-1;
    88-06-2; 94-75-7; 120-83-2; 94-75-7; 105-67-9; 51-28-5;
    121-14-2; 541-53-7; 87-65-0; 606-20-2; 53-96-3; 1338-23-4;
    110-75-8;       91-58-7; 95-57-8; 131-99-5; 640-19-7; 116-06-3;
    75-55-8; 75-86-5;     91-59-8; 88-75-5; 79-46-9; 109-06-8;
    107-19-7; 88-85-7; 91-94-1;      119-90-4; 51-43-4; 542-76-7;
    56-49-5; 72-54-8; 72-55-9; 50-29-3;      101-14-4; 534-52-1;
    504-24-5; 101-55-3; 3165-93-3; 7005-72-3;    100-02-7; 2763-96-4;
    99-55-8; 152-16-9; 83-32-9; 208-96-8; 75-07-0;   64-19-7; 108-24-7;
    75-86-5; 67-64-1; 75-05-8; 98-86-2; 506-96-7;      75-36-5;
    107-02-8; 79-06-1; 79-10-7; 107-13-1; 124-04-9; 309-00-2;
    107-18-6; 107-05-1; 80-15-9; 122-09-8; 100-44-7; 20859-73-8;
    10043-01-3; 61-82-5; 7664-41-7; 631-61-8; 1863-63-4; 1066-33-7;
    778S-09-5;  1341-49-7; 10192-30-0; 1111-78-0; 506-87-6; 12125-02-9;
    7788-98-9;  7632-50-0; 13826-83-0; 12125-01-8; 1336-21-6; 1113-38-8;
    131-74-8; 16919-19-0; 7773-06-0; 12135-76-1; 10196-04-0; 3164-29-2;
    1762-95-4;  7783-18-8; 628-63-7; 62-53-3; 120-12-7; 7647-18-9;
    11071-15-1; 7789-61-9; 10025-91-9; 7783-56-4; 7440-36-0; 1327-52-2;
    1303-32-8;  1303-28-2; 7784-34-1; 1327-53-3; 1303-33-9; 7440-38-2;
    1332-21-4;  2465-27-2; 115-02-6; 542-62-1; 7440-39-3; 225-51-4;
    98-87-3; 71-43-2; 98-09-9; 108-98-5; 92-97-5; 56-55-3; 50-32-8;
    191-24-2; 207-08-9; 65-85-0; 100-47-0; 98-07^7; 98-88-4; 100-44-7;
    7787-47-5;  7787-49-7; 13597-99-4; 7440-41-7; 58-89-9; 319-84-6;
    319-85-7; 319-86-8; 111-91-1; 111-44-4; 39638-32-9; 117^81-7?
    542-88-1; 598-31-2; 74-83-9; 357-57-3; 123-86-4; 85-68-7; 109-73-9;
    107-92-6; 543-90-8; 7789-42-6; 7440-43-9; 7778-44-1; 52740-16-6;
    75-20-7; 13765-19-0; 592-01-8; 26264-06-2; 1305-62-0; 7778-54-3;
    1305-78-8;  133-06-2; 63-25-2; 1563-66-2; 75-15-0; 56-23-5;
    353-50-4;       75-87-6; 305-03-3; 57-74-9; 7782-50-5; 107-20-0;
    108-90-7; 510-15-6;       124-48-1; 75-00-3; 75-01^4; 110-75-8;
    67-66-3; 74-87-3; 107-30-2;     126-99-8; 7790-94-5; 2921-88-2;
    1066-30-4;  7738-94-5; 10101-53-8;     7440-47-3; 10049-05-5;
    218-01-9? 7440-48-4; 7789-43-7; 544-18-3;      14017-41-5;
    544-92-3; 7440-50-8; 56-72-4; 1319-77-3; 1319-77-3;
    4170-30-3;  98-82-8; 142-71-2; 12002-03-8; 7447-39-4; 3251-23-8;
    814-91-5; 10380-29-7; 7758-98-7; 815-82-7; 57-12-5; 506-68-3;
    506-77-4; 460-19-5; 110-82-7; 108-94-1; 50-18-0; 20830-81-3;
    72-54-8;      50-29-3; 55-91-4; 84-74-2; 117-84-0; 621-64-7;


                             909

-------
                         Accession No.  7301400909     (cont)

2303-16-4; 333-41-5;   53-70-3; 189-55-9; 124-48-1; 74-95-3;
1918-00-9; 1194-65-6; 117-80-6;      25321-22-6; 75-27-4; 75-71-8;
75-09-2; 696-28-6; 78-87-5; 8003-19-8;       542-75-6; 62-73-7;
60-57-1; 1464-53-5; 84-66-2; 109-89-7; 56-53-1;    94-58-6;
60-51-5; 131-11-3; 77-78-1; 124-40-3; 79-44-7; 62-75-9;
25154-54-5; 25321-14-6; 828-00-2; 142-84-7; 2764-72-9; 298-04-4;
330-54-1; 27176-87-0; 60-00-4; 1031-07-8; 959-98-8; 33213-65-9;
115-29-7; 7421-93-4; 72-20-8; 106-89-8; 563-12-2; 141-78-6;
140-88-5;      60-29-7; 97-63-2; 62-50-0; 100-41-4; 107-12-0;
106-93-4; 107-06-2;    75-21-8; 96-45-7; 107-15-3; 151-56-4;
1185-57-5; 14221-47-7;     7705-08-0; 7783-50-8; 10421-48-4;
10028-22-5; 10045-89-3; 7758-94-3;       7720-78-7; 206-44-0;
86-73-7; 7782-41-4; 62-74-8; 75-69-4; 50-00-0;   64-18-6; 110-17-8;
110-00-9; 98-01-1; 765-34-4; 86-50-0; 1024-57-3;   76-44-8;
118-74-1; 87-68-3; 58-89-9; 77-47-4; 67-72-1; 70-30-4;
1888-71-7; 757-58-4; 302-01-2; 7647-01-0; 74-90-8; 7664-39-3;
74-90-8; 7783-06-4; 75-60-5; 193-39-5; 74-88-4; 9004-66-4;
7439-89-6;      78-83-1; 624-83-9; 78-59-1; 78-79-5; 54590-52-2;
120-58-1; 115-32-2;       143-50-0; 303-34-4; 301-04-2; 3687-31-8;
7758-95-4; 13814-96-5;       7783-46-2; 10101-63-0; 10099-74-8;
7446-27-7; 1072-35-1; 1335-32-6;   7446-14-2; 1314-87-0; 592-87-0;
7439-92-1; 58-89-9; 14307-35-8;       108-39-4; 108-38-3; 121-75-5;
110-16-7; 108-31-6; 123-33-1; 109-77-3;      7439-96-5; 148-82-3;
2032-65-7; 592-04-1; 10045-94-0; 7783-35-9;      592-85-8;
10415-75-5; 628-86-4; 7439-97-6; 74-93-1; 67-56-1; 91-80-5;
16752-77-5; 72-43-5; 126-98-7; 79-22-1; 78-93-3; 1338-23-4;
60-34-4;       74-88-4; 108-10-1; 74-93-1; 80-62-6; 298-00-0;
S6-04-2; 7786-34-7;    315-18-4; 75-04-7; 74-89-5; 494-03-1;
71-36-3; 84-74-2; 759-73-9;     684-93-5; 615-53-2; 924-16-3;
621-64-7; 1116-54-7; 55-18-5; 62-75-9;       86-30-6; 4549-40-0;
100-75-4; 930-55-2; 103-85-5; 107-10-8; 300-76-5;      91-20-3;
1338-24-5; 7785-20-8; 12612-55-4; 7718-54-9; 557-19-7;
12054-48-7; 13138-45^9; 7786-81^4; 7440-02-0; 54-11-5; 7697-37-2;
10102-43-9; 98-95-3; 10102-44-0; 10102-44-0; 10544-72-6; 55-63-0;
25154-55-6; 95-48-7; 636-21-5; 95-47-6; 9004-98-2; 465-73-6;
20816-12-0; 59-50-7; 106-47-8; 106-44-5; 60-11-7; 100-01-6;
106-42-3;      30525-89-4; 123-63-7; 56-38-2; 12674-11-2;
11104-26-2; 11141-16-5;    53469-21-9; 12672-29-6; 11097-69-1;
11096-82-5; 608-93-5; 76-01-7;    82-68-8; 87-86-5; 62-44-2;
85-01-8; 108-95-2; 696-28-6; 62-38-4;      298-02-2; 75-44-5;
7803-51-2; 7664-38-2; 1314-80-3; 7719-12-2;   7723-14-0; 85-44-9;
1336-36-3; 10124-50-2; 7778-50-9; 7789-00-6;      151-50-8;
1310-58-3; 7722-64-7; 506-61-6; 7784-41-0; 23950-58-5;
2312-35-8; 79-09-4; 123-62-6; 107-12-0; 75-56-9; 129-00-0;
121-29-9;       110-86-1; 91-22-5; 50-55-5; 108-46-3; 81-07-2;
94-59-7; 7783-00-8;    12640-89-0; 7446-34-6; 7782-49-2; 630-10-4;
506-64-9; 7761-88-8;      7440-22-4; 7631-89-2; 7784-46-5;
26628-22-8; 10588-01-9; 1333-83-1;   7631-90-5; 7775-11-3;
143-33-9; 25155-30-0; 7681-49-4; 16721-80-5;    1310-73-2;
7681-52-9; 124-41-4; 7632-00-0; 7558-79-4; 7601-54-9;
10102-18-8; 7440-23-5; 7789-06-2; 1314-96-1; 57-24-9; 100-42-5;
10025-67-9; 7664-93-9; 72-54-8? 127-18-4; 127-18-4; 56-23-5;


                         910

-------
                             Accession No.   7301400909     (cont)

    3689-24-5; 78-00-2; 107-49-3; 109-99-9; 509-14-8; 1314-32-5;
    563-68-8; 29809-42-5; 7791-12-0; 10102-45-1; 12039-52-0; 7446-18-6;
    7440-28-0; 62-55-5; 79-19-6; 62-56-6; 137-26-8; 7440-32-6;
    26471-62-5; 108-88-3; 25376-45-8; 8001-35-2; 75-25-2; 52-68-6;
    25323-89-1; 79-01-6; 79-01-6; 75-69-4;  75-70-7; 25167-82-2;
    27323-41-7; 121-44-8; 75-50-3; 99-35-4; 126-72-7; 72-57-1; 52-85-7;
    66-75-1;  541-09-3;  10102-06-4; 51-79-6; 11115-67-6; 1314-62-1;
    7440-62-2; 27774-13-6; 108-05-4; 75-01-4; 75-35-4; 1330-20-7;
    1300-71-6; 557-34-6; 1332-07-6; 7699-45-8; 3486-35-9; 7646-85-7;
    557-21-1; 7783-49-5; 557-41-5; 7779-86-4; 7779-88-6; 127-82-2;
    1314-84-7; 16871-71-9; 7733-02-0; 7440-66-6; 13746-89-9;
    16923-95-8;       14644-61-2; 10026-11-6
(CUM)  Contact name(s): QTS,C.S.  ;    OTS,C.S.
(COR)  Contact organization:  Cindy Stroup OfS/EED/DDB
(ROR)  Responsible Organization; Office of  Pesticides and Toxic
    Substances.Off ice of Toxic Substances. Exposure Evaluat
                             911

-------
                             Accession No.   7301700901

(DQ)  Date of Questionaire: 12-02-82
(STATUS)  Status of entry:  Test Data Bank
(NAM)  Name of Data Base of Model: Scientific Parameters in Health and
    the  Environment/ Retrieval and Estimation
(ACR)  Acronym of Data Base or Model: SPHERE
(MED)  Media/Subject of Data Base or Model:  Physical-Chemical
    properties. Health Effects, Environmental Affects and Environmental
    Fate.
(ABS)  Abstract/Overview of Data Base or Model:  This data bank is a
    repository for scientific     data generated by, submitted to, or
    collected by or for the Office    of Toxic Substances (QTS).
    SPHERE is currently a test component of  the NIH/EPA Chemical
    Information System (CIS) which provides   substructure search  and
    data analysis capabilities for OTS to use     in conjunction  with
    their scientific data*
(CTC)  CONTACTS: Paula Miles (202) 382-3775
(DTP)  Type of data collection or monitoring: Data extracted from the
    literature, EPA  summary data, and Unpublished laboratory test
    result data.
(STA)  Eata Base status: Funded for development
(DPO)  Projected operational date of Data Base:  08-01-83
(NPP)  Non-pollutant parameters included in  the data base: Physical-chem
    ical properties, health effects, environmental effects and
    environmental fate data.
(DS)  Time period covered by data base: 01-01-70 to 01-01-81
(TRM)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: as needed jother file
    building/as funded
(NOB)  Number of observations in data base:  25,000 records
(NEI)  Estimated annual increase of observations in data base: 15,000
    records
(INF)  Data base includes:  evaluated data generated by expert groups
    and unevaluated data from the literature or from laboratory tests.
(NTS)  Total number of stations or sources covered in data base:  Current
    ly 6 data sources in test data set.

-------
                             Accession No.   7301700901      (cont)

(PRE)  Precision:  Quality Indicators included for some  components     of
    the data bank.   Considerable test condition data also presented
    in the records.
(EDT)  Editting:  SPHERE Committee {OTS interdivisional     Committee)
    conforms to the QRD Quality Assurance Standards for   editing.
    Data are edited to assure that they are true to the    original
    source.  Source data are not validated.
(CBY)  Data collected by: Federal Agencies ;industry ^published
    literature
(ABY)  Data analyzed by: Data in system are not generally analyzed;
    user does his own analysis using CIS analytical components such  as
    their mathematical modelling laboratory.
(IDL)  Laboratory identification: K/A
(AOT)  Authorization for data collection: Statutory authorization  is  P
    U 94-469, Section 10 (Toxic Substances    Control Act 15 2609)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    
-------
                             Accession No.   7301700902

(DQ)  Date of Questionaire:  12-02-82
(STATUS)  Status of entry:  Inactive
(NAM)  Name of Data Base of Model:  CHEMTRAX
(ACR)  Acronym of Data Base or Model:  CHEMTRAX
(MED)  Media/Subject of Data Base or Model: Other status  of  chemical
    assessment
(ABS)  Abstract/Over view of Data Base  or Model:  Tracking  of  action  and
    decision status of    chemical substances within the  Office  of
    Toxic    Substances/ other EPA programs, and federal  agencies
    pertinent to the Office of Toxic Substances' planning.   In addition
    to the chemicals individually   identified/  CHEMTRAX  covers  the
    following lists:
    •GAG chemicals 144
    -IRLG regulatory development 29
    -NCI bioassay 552
    -FIFRA 23
    -AD pre-chips screening 419
    -304 feater Pollution Control Federation
    -382 Active Ingredients in registered pesticides
    -89 Fishbine List
    -661 NTP testing chemicals
    -947 OSHA carcinogens
    -65 hazardous Hastes
    -42 CUT
    -661 preliminary list
    -50 highest production  volume chemicals
    -65 OTS mutegenicity tested chemicals
(CTC)  CONTACTS: Subject matter   Jim  Bradshan  (202)755-2110;
    Computer-related  Frances Cor
(DTP)  Type of data collection or monitoring: Combination/Other
    administrative actions
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances represented in Data  Base:  129 307 CHA ;21
    drinking Hater standards ;9 potential drinking Hater  ; 29 drinking
    uater monitoring ;299 hazardous substances ;48 cancelled pesticides
    ;    54 TSCA assessment
(NPP)  Ron-pollutant parameters included in the  data base: action
    decision status
(DS)  Time period covered by data base: 02-01-78 TO 09-30-80
(TRM)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: Other  ad hoc
(NOB)  Number of observations in data  base: 7500(Estimated)
(NED  Estimated annual increase of observations in data  base: 1500
(INF)  Data base includes:  chemical decision status and Office of Toxic
    Substances actions
(NTS)  Total number of stations or sources covered in data base: 0
(NCS)  Ko. stations or sources currently originating/contributing data:
    0
(NOF)  Number of facilities covered in data base (source  monitoring): 0
(LOG)  Data elements identifying location of station or source include:
    N/A
(FAC)  Data elements identifying facility include: N/A


                             914

-------
                             Accession No.   7301700902      (cont)

(CDE)  Pollutant Identification data are:  Other coding  scheme
(LIM)  Limitation/variation in data of which user should be aware:  Coded
    with CHEHTRAX identification numbers;  actual data from contributors
    predates   initiation of CHEMTRAX; System is not interactive-
    presently being rewritten.
(ANL)  Lab analysis based on EPA-approved  or accepted methods?  NO
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision and accuracy estimates are  not available
(EOT)  Editting: Ho known edit procedures  exist.
CCBY)  Data collected by: Self reporting Office of Toxic Substances,
    SPA lOther federal agency National In  Safety and Health/
    Occupational Safety and Health Administration/ Food and Drug
    Administration/ Interagency Testing Committee ;EPA  headquarters
    Office of Toxic Substances/ EP
(ABY)  Data analyzed by:  EPA headquarters  Office of Toxic Substances/
    EPA
(IDL)  Laboratory identification:  NO
(PR1)  Primary purpose of data collection:  prograa coordination
(AOT)  Authorization for data collection:  statutory authorization  is P
    L 94-469/ Sections 9 & 10-support of assessment process (Toxic
    Substances Control Act of 1976-TSCA)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Printouts on
    request
(NOS)  Number of regular users of data base: 1 office
(DSR)  Current regular users of data base:  EPA headquarter offices
    Office of Toxic Substances Search Center/     Management Support
    Division
(CNF)  Confidentiality of data and limits  on access: No limits  on
    access to data
(DLC)  Primary physical location of data:  Other Federal Agency:
    National Institutes of Health-will  move to EPA
(OST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software CHEHTRAX  MIDS:7500000902 ;EPA
    hardware IBM 370
(CHG)  Direct charge for non-EPA use: no
(CMP)  Completion of form:
    Fran Corbin
    OFC: EPA/(OPTS)/{OTS)/(MSD>
    AD: 401 M St. S.W. Washington/ D.C. 20460
    PH: (202)426-2447
CDF)  Date of form completion: 12-10-82
(NMAT)  Number of substances represented in data base:  1032
(NCAS)  Number of CAS registry numbers in  data base: 1068
(MAT)  Substances represented in data base:
    l/l/l/2-tetrachloroethane<63        l/l/2-trichloro-l,2,2-trlfluoroeth
       0-20-6>                              ane<76-13-l>
    l/l/l-trichloroethane<71-55~6>      l,l/2-trichloroethane<79-00-5>
    l/l/2,2/-tetrachloroethane          l,l/2-trlchloroethene<79-01-6>
       <79-34-5>                        l/l-dichloroethane<75-34-3>
                                        l/l-dichloroethylene<75-35-4>


                             915

-------
                         Accession No*  7301700902
                  (cont)
l,l-dichloropropane<78-99-9>
lf12-benzoperyIene<191-24-2>
1,2,3, 4-tetrachlorobenzene
   <634-66-2>
1,2,3, 5-tetrachlorobenzene
   <634-90-2>
l,2,3-trichloroben2ene<96-18-4>
l,2,4,-trichlorobenzene<120-82-l>
l,2-dibromo-3-chloropropane (dbcp)
   <96-12-8>
l,2-dibromoethane<106-93-4>
1,2-dichlorobenzene<95-50-l>
l,2-dIchloroethane<107-06-2>
If2-dichloropropane<78-87-5>
If2-diphenylhydrazlne<122-66-7>
If 2-trans-dichloroethylene
   <156-60-5>
1,3,4 trichlorobenzene<120-82-l>
l-r3,5-trichlorobeni:ene<108-70-3>
1,3-butylene glycol<107-88-0>
If3-dlchlorobenzene<541-73-l>
If3-dichloropropene<542-75-6>
l/3-dloxolane<646-06-0>
l,4-dlchlorobenzene<106-46-7>
If5-cyclooctadiene
l-pentene<109-67-l>
11,12-benzofluor anth ene<207-08-9>
2,2-dichloropropionic acid
   <75-99-0>
2*3,7,8-tetrachlorodibenzo-p-
   dioxin<1746-01-6>
2,3-dinltrotoluene<602-01-7>
2,3-o-phenylenepyrene<193-39-5>
2,4,5-t amines
2,4,5-t esters
2,4,5-t salts
2,4,5-tp acid esters
2,4,5-trichlorophenol< 95-95-4>
2,4,5-trichlorophenoxyacetic acid
   
2,4,5-trichlorophenoxypropionic
   acid (TP)<93-72-l>
2,4,6-trichlorophenol<88-06-2>
2,4-d acid<94-75-7>
2,4-d esters
2,4-dichlorophenol<120-83-2>
2,4-dichlorophenoxyacetic acid (2,
   4-d)<94-75-7>
2,4-dimethylphenol<105-67-9>
2,4-dinitrophenoK51-28-S>
2, 4-dinitrotoluene<121-14-2>
2,4-toluene diIsocyanate<584-84-»9>
2,5-dinitrotoluene<619-15-8>
2,6-dinitrotoluene<606-20-2>
2-chloroethylvinyl «ther<110-75-8>
2-chloronaphthalene<91-58-7>
2-chlorophenol<95-57-8>
2-diraethyl aralnoethanol<108-01-0>
2-ethyl h«xanol<104-76-7>
2-fluoroacetaiEide (1081)<640-19-7>
2-hydroxy-benzoic acid<69-72-7>
2-hydroxy-propanoic acid<50-21-5>
2-nitrophenot<88-75-5>
2-nitropropane<79-46-9>
3,3•-dichlorobenzidine<91-94-l>
3,4,5-trichloroguaiacol
3,4-benzofluoranthene<205-99-2>
3,4-diniUotoluene<610-39-9>
4,4--dde{p,p'-ddx)<72-55*9>
4,4'-ddt<50-29-3>
4,6-dinitro-o-cresol<534-52-l>
4-broraophenyl phenyl ether
   <101-55-3>
4-chloro-3-methyl phenol<59-50-7>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-inethyl-benzenesulfonanide
   <70-55-3>
4-nltrophenol<100-02-7>
5-ethyl-5-isopentyl-barbituric
   acid<57-43-2>
5-ethyl-5-phenyl-barbituric acid
   <50-06-6>
abletlc
abs<9003-56-9>
acenaphtliene<83-32-9>
acenaphthylene<208-96-8>
acetaldehyde<75-07-0>
acetaldol<107-89-l>
acetamide<60-35-5>
acetanilide<103-84-4>
acetic acid salts
acetic acid<64-19-7>
acetic anhydride<108-24-7>
acetone cyanohydrin<75-86-5>
acetone<67*64-l>
acetonitrile<75-05-8>
acetophenone<98-86-2>
acetyl bronide<506-96-7>
acetyl chlotide<75-36-5>
acetylene<74-86-2>
acroleln<107-02-8>
acrylamide<79-06-l>
acrylic acid<79-10-7>
                         916

-------
                         Accession No.   7301700902
                  Ccont)
acrylic fiber
acrylic resins
acrylonitrile<107-13-l>
adipic acid<124-04-9>
adiponitrile
aerosols
alachlor<15972-60-8>
aldrin<309-00-2>
allyl alcohol<107-18-6>
allyl chloride<107^05-l>
alpha- terp in eol
aluminum sulfate<10043-01-3>
aaitraz (baam)<33039-61-l>
a«raonia<7664-41-7>
ammonium acetate<631-61-8>
ammonium benzoate<1863-63-4>
ammonium blear bonate<1066-33-7>
ammonium bichromate<7789-09-5>
ammonium bif luoride<1341-49-7>
ammonium bisulf ite<10192-30-0>
ammonium carbamate
ammonium carbonate<506-87-6>
ammonium chlorlde<12125-02-9>
ammonium chromate<7788-98-9>
ammonium fluoborate<13826-83-0>
ammonium f luorlde<12125-01-8>
ammonium hydroxlde<1336-21-6>
ammonium oxalate<1113-38-8>
ammonium silicof luoride
   <16919-19-0>
ammonium sulfamate<7773~06-0>
ammonium sulfide
ammonium sulf ite<10196-04-0>
ammonium tar trate<3164-29-2>
amnonium thiocyanate<1762-95-4>
ammonium thiosulf ate<7783-18-8>
arayl acetate<628-63-7>
amy 1 am ine< 11 0- 58-7>
aniline hydrochloride< 142-0 4-l>
aniline<62-53-3>
anisole<100-66-3>
anthracene
anthranilic acid<118-92-3>
an thr a quinone< 84-65-1 >
antimony pentachloride<7647-18-9>
antimony potassium tartrate
arsenic acid<1327-52-2>
arsenic c"isulfide<1303-32-8>
arsenic pentpxide<1303-28-2>
arsenic trichloride<7784-34-l>
arsenic trioxide<1327-53-3>
arsenic trisulfide<1303-33-9>
arsenic <7440-38-2>
asbestos<1332-21-4>
aspirin<50-78-2>
atrazlne<1912-24-9>
banvel-d<1918-00-9>
barium cyanide<542-62-l>
barium<7440-39-3>
benefin<1861-40-l>
benomyl<17804-35-2>
benzaldehyde< 100-52-7>
benzamide<55-21-0>
benzene acetic acid<103-82-2>
benzene<71-43-2>
benzenepropanolc acid<501-52-0>
benzenesulfonic acid<98-ll-3>
benzidine<92-87-5>
benzo(a)anthracene<56-55-3>
benzo (a )pyrene<50-32-8>
benzo (g^h/ i )perylene<191-24-2>
benzo (k)f luoranthene<207-08-9>
benzole acld<65-85-0>
benzoin<119-53-9>
benzonitrlle<100-47-0>
benzoph enone< 1 19-61-9>
benzoyl chlorlde<98-88-4>
benzoyl peroxide<94-36-0>
benzyl alcohol<100-51-6>
benzyl chloride<100-44-7>
benzyl dichloride<98-87-3>
beryllium chloride<7787-47-5>
beryllium fluorlde<7787-49-7>
berylliua nitrate<13597-99-4>
beryllium<7440-41-7>
bhc {lindane)-gamraa<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
bls(2-chloroethoxy) methane
antimony tribroraide<7789-61-9>
antimony trichloride<10025-91-9>
antimony trif luoride<7783-56-4>
antimony trioxide<1309-64-4>
antimony<7 440-36-0>
bis(2-chloroethyl)ether
bis(2-chloroisopropyl)ether
   <39638-32-9>
bls(2-ethylhexyl)phthalate
bls(chloromethyl)ether<542-88-l>
bisphenol a<80-05-7>
                         917

-------
                         Accession No.  7301700902
                  (cont)
boric acid and salts
brofflobenzene<108-86-l>
brofflodichloroinethane<75-27*4>
broraoforra<75-25-2>
bromoinethane<74-83-9>
butadiene<106-99-0>
butralin<33629-47-9>
butyl acetate<123-86-4>
butyl benzyl phthalate<85-68-7>
butyl phthalyl butyl glycolate
   <85-70-l>
butylaaiine<109-73-9>
butyloctyl phthalate<84-78-6>
butyric acid<107-92-6>
cadmium acetat«<543-90-8>
cadmium bromide<7789-42-6>
cadmium chloride
cad«ium<7440-43-9>
caffeine<58-08-2>
calcium arsenate<7778-44-l>
calcium arsenite<52740-16-6>
calcium carbide<75-20-7>
calcium chromate<13765-19-0>
calcium cyanide<592-01-8>
calcium dodecylbenzenesulfonate
   <26264-06-2>
calcium hydroxide<1305-62-0>
calcium hypochlorite<7778-54-3>
calcium oxide<1305^-78-8>
calcium stearate<1592-23-0>
cap rolactaa<10 5-60-2>
captan<133-06-2>
carbaryl<63-25-2>
carbofuran<1563-66-2>
carbon dioxide<124-38-9>
carbon disulfide<75-15-0>
carbon tetrabroraide<558-13-4>
carbon tetrachloride<56-23-5>
carbon tetrafluoride<75-73-0>
carbon<7440-44-0>
castor oil<8001-79-4>
cellophane<9005-81-6>
cellulose acetate<9004-35-7>
cellulose nitrate<9004-70-0>
chlordane<57-74-9>
chloride
chlorinated ethanes
chlorinated hydrocarbons
chlorinated naphthalenes
chlorine<7782-50-5>
chloroacetic acid<79-ll-8>
chloroacetophenone<1341-24-8>
chlorobenzene<108-90-7>
chlorobenzilate<510-15-6>
chlorodibronomethane<124-48-l>
chlorodifluoronethane<75-45-6>
chloroethane<75-00-3>
chlorofluorocarbons
chloroforn<67-66-3>
chloroaethane<74-87-3>
chlorophenols
chloroprene<126-99-8>
chlorosulfonic acid<7790-94-5>
chlorpyrifos<2921-88-2>
cholesterol<57-88-5>
choline chloride<67-48-1>
chromic acetate<1066-30-4>
chromic acid<7738-94-5>
chromic sulfate<10101-53-8>
chromium (hexavalent)<7440-47-3>
chronium<7440-47-3>
chromous chloride<10049-05-5>
chrysene<218-01-9>
cis-l,2-dichloroethylene<156-59-2>
cis-9,cls-12-octadecadienoic acid
   <60-33-3>
coal tar<8007-45-2>
cobaltous broaide<7789-43-7>
cobaltous fornate<544-18-3>
cobaltous sulfaraate<14017-4l-5>
coke oven enissions<65996-81-8>
copper<7440-50-8>
coumaphos<56-72-4>
creosote<8021-39-4>
cresol<1319-77-3>
crotonaldehyde<4170-30-3>
crotonic acid<3724-65-0>
cumene hydroperoxide<80-15-9>
cupric acetate<142-71-2>
cuprlc acetoarsenite<12002-03-8>
cupric chloride<7447-39-4>
cupric nitrate<3251-23-8>
cupric oxalate<814-91-5>
cupric sulfate aamoniated
   <10380-29-7>
cupric sulfate<7758-98-7>
cupric tartrate<815-82-7>
cyanazine<21725-46-2>
cyanide<57-12-5>
cyanides
cyanoacetic acid<372-09-8>
cyanogen chloride<506-77-4>
cyanuric acid<108-80-5>
cyanuric chloride<108-77-0>
                         918

-------
                         Accession No.  7301700902
                  Ccont)
cyclohexane<110-82-7>
cyclohexanol<108-93-0>
cyclohexene<110-83~8>
cyclohexylamIne<108-91-8>
ddt
decanol<112-30-l>
d«hydrobietic
di-isobutyl phthalate<84-69-5>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84~0>
di-tridecyi phthalate<121-69~7>
diacetone alcohol<123-42-2>
diallate<2303-16-4>
diazinon<333-41-5>
dibenzo(a*h)anthracene<53-70-3>
dibutyl phthalate<84-74-2>
dicamba<1918-00-9>
dlchlobenil<1194-65-6>
dichlone<117~80-6>
dichlorobenzene<25321-22-6>
dichlorobromomethane<75-27-4>
dichlorodIfluororaethane<7S-71-8>
dichlorocthyl ether
dichlorohydrin<26545-73-3>
dichloromethane<75-09-2>
dichloropropene-dichloropropane
   nixture
dlchloropropene<26952-23-8>
dichlorotetrafluoroethanc
   <1320-37-2>
dichlorvos (ddvp)<62-73-7>
dicyclohexylaiaine<101-83-7>
dicyclopentadine<77-73-6>
didecyl phthalate<84-77-5>
dieldrin<60-57-l>
diepoxybutane
diethyl phthalate<84-66-2>
diethyl sulfate<64-67-5>
diethylamine<109-89-7>
diethylene glycol monobutyl ether
   acetate<124-17-4>
diethylene glycol monobutyl ether
   
diethylene glycol monoethyl ether
   acetate<112-15-2>
diethylene glycol monomethyl
   ether
diethylene glycol
dlethylstilbestrol<56-53-l>
dilsobutylene<25167-70-8>
dlisocotyl phthalate<27554-26-3>
diisodecyl phthalate<26761-40-0>
diisopropyl aralne<108-18~9>
dik®tene<674-S2-8>
diiaethoate<60-51-5>
dimethyl phthalate<131-ll-3>
dimethyl suIfide<75-18-3>
dimethyl sulf oxide<67-68-5>
diaethyl terephthalate<120-61-6>
dimethylaffline<124-40-3>
dime thy Icarbainoyl chloride
   <79-44-7>
dinitrobenzene<25154-54-5>
dinitrotoluene<25321-14-6>
dioxin<828-00-2>
diphenylamine<122-39-4>
diphenylthiourea<102-08«9>
dipropylene glycol<25265-71-8>
diquat<2764-72-9>
disulfoton<298-04-4>
diuron<330-54-l>
dodecyl mercaptan<112-55-0>
dodecylbenzenesulfonic acid
   <27176-87-0>
dodecylphenol<27193-86-8>
dosiun phenate<139-02-6>
abac's (ethylenebxsdithiocarbamate
   s)
endosulfan sulfate<1031~07^8>
endosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endosulfan<115-29-7>
endrin aldehyde<7421-93-4>
endrin ketone<53494-70-5>
endrin<72-20-8>
epich lorohydr in<106-89- 8>
epn (ethyl-p-nitrophenyl thionoben
   z«nephosonate)<2104-64-5>
epoxy resins<61788-97-4>
ethanol<64~17- ethanolanines
ethelene glycol raonoethyl ether
   acetate
ethion<563-12-2>
ethyl acetoacetate<141-97-9>
ethyl bronide<74-96-4>
ethyl chloride<75-00-3>
ettyl chloroacetate<105-39-5>
ethyl «ercaptan<75-08-l>
e thy lam ine<75-04-7>
ethylben2ene<100-41-4>
ethylene chlorohydrin<107-07-3>
ethylene dibromide (edb)<106-93-4>
ethylene dichloride<107*06-2>
                         919

-------
                         Accession No.  7301700902
                  (cont)
ethylene glycol diacetate
   
ethylene glycol dimethyl ether
ethylene glycol monobutyl ether
   acetate<112-07-2>
ethylene glycol monobutyl ether
ethylene glycol nonoethyl ether
   <110-80-5>
ethylene glycol nonoaethyl ether
   acetate
ethylene glycol nonomethyl ether
   <109-86-4>
ethylene glycol<107-21~l>
ethylene oxide<75-21-8>
ethylene<74-85-l>
ethylenediajsina<107-15-3>
ethylnexanoic acid<149-57-5>
f ensulf othion<115-90-2>
ferric ammonium citrate<1185-57~5>
ferric ammonium oxalate
   <14221-47-7>
ferric chloride<7705-08-0>
ferric fluoride< 77 83-50- 8>
ferric nitrate<10421-48-4>
ferric sulfate<10028-22-5>
ferrous ammonium sulfate
   <10045-89-3>
ferrous chloride<7758-94-3>
ferrous sulfate<7720-78-7>
fluoranthene<206-44-0>
fluorene<86-73-7>
fluoride<16984-48-8>
formaldehyde<50-00-0>
formamide<75-12-7>
formic acid<64-18-6>
fumaric acid<110-17-8>
furfural<98-01-l>
geraniol<106-24-l>
glutamic acid, monos odium salt
   <142-47-2>
glycerol (natural & synthetic)
   <56-81f5>
glycerol dichlorohydrin
   <26545-73-3>
glycerol triCpolyoxypropylene)
   ether<25791-96-2>
glycidol
glycine<56-40-6>
glycxal<107-22-2>
guthlon<86-50-0>
helium<7440-59-7>
heptachlor epoxide<1024-57-3>
hep tachlor<76-44-8>
heptene<25339-56-4>
hexachlorobenzene<118-74-l>
hexachlorobutadlene<87-68-3>
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
hexacloroethane<67-72-l>
hexadcecanoic acid<57-10-3>
hexadecyl alcohol<36653-82-4>
hexamethylene tetramine<100-97-0>
hexaraethylenedianine<124-09-4>
hydrochloric acid<7647-01-0>
hydrofluoric acid<7664-39-3>
hydrogen cyanlde<74-90-8>
hydrogen sulfide<7783-06-4>
hydrogan<1333-74-0>
hydroxyethyl cellulose<9004-62-0>
indeno (l,2,3-cd)pyrene<193-39-5>
iodlne<7553-56-2>
isoaraylene<26760-64-5>
isobutyl acetate<110-19-0>
isobutyraldehyde
isobutyric acid<79-31-2>
isoctyl alcohol<26952-21-6>
isodrin<465-73-6>
isopentane<78-78-4>
isophorone<78-59-l>
isophthalic acid<121-91-5>
isopimaric acid<5835-26-7>
isoprene<78-79-5>
isopropanol<67-63-0>
isopropyl acetate<108-21-4>
isopropyl alcohol<67-63-0>
isopropyl chlorlde<75-29-6>
isopropyl ether<108-20-3>
isopropyl phenol<25168-06-3>
isopropylaiaine<75-31-0>
kelthane<115-32-2>
kepone<143-50-0>
ketene<463-51-4>
lead acetate<301-04-2>
lead chloride<7758-95-4>
lead fluoride<7783-46-2>
lead f!uoroborate<13814-96-5>
lead iodide<10101-63-0>
lead nitrate<10099-74-8>
lead stearate<1072-35-l>
lead sulfate<7446-14-2>
lead sulfide<1314-87-0>
lead thiocyanate<592-87-0>
                         920

-------
                         Accession Ho.  7301700902
                  (cont)
lead<7439-92-l>
11ndane<58-89-9>
linear aikylate sulfonate
llnoleic acid<60-33-3>
lithium chroraate<14307-35-8>
m-chloroaniline<108-42-9>
ra-cresol<108-39-4>
m-dichlorobenzene<541-73-l>
m-xylene
malathion<121-75-5>
maleic acid
maleic anhydride<108-31-6>
maleic hydrazide<123-33-l>
melamine<108-78-l>
mercaptodiraethur<2032-65-7>
mercuric cyanide<592-04-l>
mercuric nitrate<10045-94-0>
mercuric sulfate<7783-35-9>
mercuric thiocyanate<592-85-8>
mercurous nitrate<10415-75-5>
raercury<7439-97-6>
mesityl oxide<14l-79-7>
metanilic acid<121-47-l>
methacrylic acid 79 41-4
methallyl chloride<563-47-3>
methane<74-82-8>
methidathion<950-37-8>
methoxychlor<72-43-5>
methyl acetate<79-20-9>
methyl acetoacetate<105-45-3>
methyl butyl ketone<591-78-6>
methyl chloride<74-87-3>
methyl formate<107-31-3>
methyl iodide<74-88-4>
methyl isobutyl carbinol<108-ll-2>
methyl mercaptan<74-93-l>
methyl methacrylate<80-62-6>
methyl parathion<298-00-0>
methyl salicylate<119-36-8>
methyl sulfoxide<67-68-5>
methylamine<74-89-5>
me thylcyclohexane<10 8-87-2>
methylene bis-thiocyanate
   <6317-18-6>
methylene chloride<75-09-2>
methylene dianiline<101-77-9>
methylpentynol<77-75-8>
mevinphos<7786-34-7>
mexacarbate<3!5-18-4>
monochlorodehydroabietic acid
   <57055-38-6>
monoethylaraine<75-04-7>
monomethyla!aine<74-89-5>
raorpholine<110-91-8>
n,n-dinethyl-formaiBide<68-12-2>
n,n-diaethylaniline<121-69-7>
n,n-dimethyl£ormamide<68-12-2>
n,n-diphenylhydrazine<530-50-7>
n-butene<25167-67-3>
n-butyl acetate<123-86-4>
n-butyl phthalate<84-74-2>
n-butylacrylate<141-32-2>
n-butylanine<109-73-9>
n-butyraldehyde<123-72-8>
n-butyric anhydride<106-31-0>
n-butyronitrile<98-73-7>
n-methylaniline<100-61-8>
n-nitroscdi-n-propylamine
   <621-64-7>
n-nitrosodiroethylaraine<62-75-9>
n-nitrosodiphenylamine<86-30-6>
n-pentane<109-66-0>
n-propyl clcohal<71-23-8>
naled<300-76-5>
naphthalene<91-20-3>
naphthenic acld<1338-24-5>
neon<7440-01-9>
neopentanoic acid<75-98-9>
nickel aomoniun sulfate<7785-20-8>
nickel chlorlde<7718-54-9>
nickel hydroxide<12054-48-7>
nickel nitrate<13138-45-9>
nickel sulfate<7786-81-4>
nickel<7440-02-0>
nitralin<4726-14-1>
nitrate<14797-55-8>
nitric acid<7697-37-2>
nitrobenzene<98-95-3>
ni troethane<79-24-3>
nitrogen dioxide<10102-44-0>
nitrogen oxide<11104-93-l>
nitromethane<75-52-5>
nltrophenol<25154-55-6>
nitrotoluene
noaylphenol<25154-52-3>
nylon 6<25038-54-4>
o-chloroaniline<95-51-2>
o-chloronitrobenzene<88-73-3>
o-chlorotoluene<95-49-8>
o-cresol<95-48-7>
o-dlchlorobenzene<95-50-l>
o-methoxyphenol<90-05-l>
o-nitroaniline<88-74-4>
o-xylene<95-47-6>
                         921

-------
                         Accession No.  7301700902
                  (cont)
octadecanoic acid<57-ll-4>
octamethylpyrophosphoramide (OMPA)
   <152-16-9>
octyl decyl phthalate<119-07-3>
octylphenol<27193-28-8>
oxy gen<778 2- 44-7>
P-awinophenol
P-chloro-ra-cresol<59-50-7>
p-chlorotoluene<106-43-4>
p-cresol<106-44-5>
p-hydroxybenzoic acid<99-96-7>
p-tert-butylbenzoic acid<98-73-7>
p-xylene<106-42-3>
paraformaldehyde<30525-89-4>
parathion<56-38-2>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 {arochlor 1221)
   
pcb-1232 (arochlor 1232)
pcb-1242 {arochlor 1242)
   
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
pcb-1260 (arochlor 1260)
   <11096~82-5>
pentachloronltrobenzene (PCNB)
   <82-68-8>
pentachlorophenol<87-86-5>
P epchl or om ethyl mere ap tan
   < 59 4- 42-3 >
petroleum hydrocarbons
phenanthrene<85-01-8>
phenol<108-95-2>
phenols
phosgene<7 5- 44-5>
phosphoric acid<7664-38-2>
phosphorus oxychloride<10025-87-3>
phosphorus pentasuif Ide<13!4-80-3>
phosphorus trichloride<7719-12-2>
phosphorus<7723-14~0>
ph thai ate esters
ph thai ic acid esters
phthalic acid<88~99-3>
phtiialiaiide<85-4i-6>
piperazine<110-85-0>
platinura<7440-06-4>
polSamides<63428-83-l>
polybrorainated biphenyls (PBBs)
polychlorlnated biphenyls (PCBs)
polyethyene terephthalate
   <25038-59-9>
polyethylene glycol<25322-68-3>
polypropylene glycol<25322-69-4>
polyvinyl alcohol<9002-89-5>
polyvinyl chloride<9002-86-2>
polyvinyl pyrrolidone<9003-39-8>
potassium arsenate<7784-41-0>
potassium arsenite<10124-50-2>
potassium azide<20762-60-l>
potassium bichromate<7778-50-9>
potassium chroaate<7789-00-6>
potassium cyanide<151~50-8>
potassiun hydroxide<1310-58-3>
potassiuffi permanganate<7722-64-7>
pronamide<23950-58-5>
propachlor<1918-16-7>
propane<74-98-6>
propanil<709-98-8>
propargite<2312-35-8>
propionaldehyde<123-38-6>
propionic acid<79-09-4>
propionic anhydride<123-62-6>
propyl acetate<109-60-4>
propyl chloride<540-54-5>
propylene dichloride<78-87-5>
propylene glycol<57-55-6>
propylene oxide<75-56-9>
p ropylene<115-07-1>
pyrene<129-00-0>
pyrethrin<121-29-9>
quinoline<91-22-5>
resorcinol<108-46-3>
salicylic acid<69-72-7>
sec-butyl alcohol<78-92-2>
sec-butylaBine<13952-84-6>
selenium oxide<12640-89-0>
selenium<7782-49-2>
silica<7631-86-9>
silieones
silver nitrate<7761-88-8>
silver<7440-22-4>
silvex<93-72-l>
simazlne<122-34-9>
sodium acetate<127-09-3>
sodium arsenate<7631-89-2>
sodium arsenite<7784-46-5>
sodium benzoate<532-32-l>
sodium bichronate<10588-01-9>
sodium bifluoride<1333-83-l>
sodium bisul£ite<7631-90-5>
                         922

-------
                         Accession Ho.   7301700902
                  
sodium carboxy methyl cellulose
   <9004-32-4>
sodium chloroacetate<3926-62-3>
sodium chromate<7775-ll-3>
sodium cyanide<143-33-9>
sodium dodecylbenzenesulfonate
   <25155-30-Q>
sodium fluoride<7681-49-4>
sodium fluoroacetate (1080)
   <62-74-8>
sodium formate<14l-S3-7>
sodium hydrosulflde<16721-80-5>
sodium hydroxide<1310-73-2>
sodium hypochlorite<7681-52-9>
sodium methylate<124-41-4>
sodium nitrite<7632-00-0>
sodium phosphate, dibasic
   <7558-79-4>
sodium phosphate, tribasic
sodium selenite<10102~18-8>
sodiura<7440-23-5>
sorbic acid<110-44-l>
strontium chromate<7789-06-2>
strychine<57^24-9>
strychnine<57-24-9>
styrene<100-42-5>
succinic acid<110-15-6>
sucrose<57-r50-l>
sulfanilic acid<121-57-3>
sulfate aerosols
sulfate<14808-79-8>
sul£olane<126-33-0>
sulfur monochlorlde<10025-67^9>
sulfur<7704-34-9>
sulfuric acid<7664-93-9>
surfactants
tannic acid<1401-55-4>
tde<72-54-8>
terephtalic acid<100-21-0>
terpenes
tert-butyl alcohol<75-65-0>
tert-butylamine<75-64-9>
tetrachloroethylene<;127-18-4>
tetrachlorophthalic anhydride
   <117-08-8>
tetraethyl lead<78-00-2>
tetraethyl pyrophosphate<107-49-3>
tetramethyethlenediaraine<110-18-9>
tetramethyl lead<75-74-l>
thallium sulfate<7446-18-6>
thallium<7440-28-0>
thiophanate methyl<23564-05-8>
thiophene
titanium dioxide<13463-67-7>
toluene-2, 4-diamine<95-80-7>
toluene<108-88-3>
toluenesulfonamide<1333-07-9>
toluenesulfonyl chloride<98-59-9>
toluidines
total suspended p articulates
toxaphene<8001-35-2>
tribromoniethane<75-25-2>
tributyl phosphorotrithloate
   <78-48-8>
trichlorfon<52-68-6>
trichloroethane<25323-89-l>
trichloroethylene<79-01-6>
trichlorof luororaethane<75-69-4>
trichlorophenol {TCP)<25167*-82-2>
triethanolamine dodecylbenzenesulf
   onate<27323-41-7>
triethylamine<121-44-8>
triethylene glycol<112-27-6>
triethylene tetramine<112-24-3>
trifluraline (treflan)<1582-09-8>
trine thylaraine<75-50-3>
tungsten<7440-33-7>
uraniun<7440-61-l>
uranyl acetate<541-09-3>
uranyl nitrate<10102-06-4>
urea<57-13-6>
vanadium pentoxide<1314-62-l>
vanadyl sulfate<27774-13-6>
vinyl ac«tate<108-05-4>
vinyl chloride<75-01-4>
vinyl toluene<25013-15-4>
vinylidene chloride<75-35-4>
x-17 aminoethylethanolamine
xylene sulfonic acid<25321-41-9>
xylene<1330-20-7>
xylenol<1300-71-6>
xylidine<1300-73-8>
zinc acetate<557-34-6>
zinc ammonium chloride
zinc borat«<1332-07-6>
zinc bronide<7699-45-8>
zinc carbonate<3486-35~9>
zinc chloride<7646-85-7>
zinc cyanide
zinc fluoride<7783-49-5>
zinc foraate
zinc hydrosulfite<7779-8€-4>
                         923

-------
                         Accession No.  7301700902
                  (cont)
zinc nitrate<7779-88-6>
zinc phenol sulfonate<127-82-2>
zinc phosphide<1314-84-7>
zinc silicofluoride<16871-71-9>
zinc sulfate<7733-02-0>
zinc<7440-66-6>
zirconium nitrate<13746-89-9>
zirconium potassium fluoride
   <16923-95-8>
zirconium sulfate<14644-61-2>
zirconium tetrachloride
   <10026-ll-6>
OjO-diethyl phosphoric acid, 0-p-
   nitrophenyl ester<3ll-45-5>
0,0-diethyl-0-(2-pyrazinyl)
   phoshorothiol, 1-ditnethylhydrazi
   ne<57-14-7>
l,2,3,4,10,10-hexachloro-l,4,4a,5,
   8,8a-hexahydro-l,4:5, 8-endo,
   endo-diraetha
1^2,4,5-tetrachlorobenzene
   <95-94-3>
l,2-diethylhydrazine<1615-8Q-l>
l,2-diioethylhydrazine<540-73-8>
If 2-propanediol<57-55-6>
1,3-pentadiene<504-60-9>
1/3-propane sultone<1120-7l-4>
l/4-dichloro-2-butene<110-57-6>
If 4-dioxane<123*91-l>
1f4-naphthoquinone
1-(o-chlorophenyl)thiourea
   <5344-82-l>
l-chloro-2/3-epoxypropane
   <106-89-8>
l^naphthyl-2-thiourea<86-88-4>
l-naphthylamine<134-32-7>
2,3,4,6-tetrachlorophenol<58-90-2>
2F4-dithiobiuret<541-53-7>
2,6-dichlorophenol<87^65-0>
2-butanone peroxide<1338-23-4>
2-cyclohexy1-4,6-d ini trophenol
   <13l-89-5>
2-Bethyl-2-(«ethyIthio)propionalde
   hyde-o-(niethylcarbonyi}oxime
   <80-62-6>
2-methylaziridine<75-55-8>
2-methyllactonitrile<75-86-5>
2-naphthylaroine<91-59-8>
2-picoline<109-06-8>
2-propyn-l-01<107-19-7>
2-scc butyl-4^6-dinitrophenol
   <88-85-7>
3,3'- dime thoxybenzidine<119-90-4>
3,3--dinethylbenzidine<119-93-7>
3,4-dihydroxy-alpha-tmethylaiBino)-
   ra ethyl benzyl alcohol
3-chloropropionitrile<542-76-7>
3-methylcholanthrene<56-49-5>
4,4--dde(p/p*-ddx3<72-55-9>
4,4--ddt<50-29-3>
4^4^-methylene-bis-(2-chloroanilin
4-chloro-o-toluidine hydrochloride
   <3165-93-3>
5-nitro-o-toluidine<99-55-8>
6-amino-l,la*2,8,8a*8b-hexahydro-
   8-(hydroxymethyl)8-aethoxy-5-
   •ethyl
   -car aba
7,12-diraethylbenz(a)ant 7-
   oxabicycol{2.2. l)heptane-2,3~
   dicarboxylic
   acid<145-73-3>
aluminum phosphide<20859-73-8>
aluminuBJ<7429-90-5>
amitrole<61-82-5>
ammonium picrate<131-74-8>
aramite<140-57-8>
auramine<2465-27-2>
azaserine<115-02-6>
benz(c)acridine<225-51-4>
benzal chloride<98-87-3>
benzenesulfonyl chloride<98-09-9>
benzenethiol<108-98-5>
benzidine<92-87-5>
benzotrichloride<98-07-7>
beryllium dust
biphenyl<92-52-4>
bismuth compounds<7440-69-9>
boron co«pounds<7440-42-8>
bromine<7726-95-6>
bromoacetone< 598-31-2>
brucine<357-S7-3>
cacodylic acid and salts<75'-60-5>
carbon monoxide<630-08-0>
carbonyl fluoride<353-50-4>
chloral<75-87-6>
chlorambuclK 305-03-3>
chloranil<118-75-2>
chloroacetaldehyde<107-20-0>
chloroethene<75-01-4>
chloroethyl vinyl ether<110-75-8>
chloromethyl methyl ether
   <107-30-2>
                         924

-------
                         Accession Ho.  7301700902
                  (cont)
cobalt<7440-48-4>
copper cyanide<544-92-3>
cresylic acid<1319-77^-3>
cunene<98-82-8>
cyanogen bromide<506-68-3>
cyanogen< 460-19-5>
cycloh exanone<108-94-l>
eyelophosphamide<50-l8-0>
daunonycin<20830-81-3>
demeton<8065-48-3>
di-n-propylnitrosaraine<621-64-7>
dibenzofuran<132-64-9>
dibenzol(a,i)pyrene<189~55-9>
dibromochloromethane<124-48-l>
dibromomethane<74-95-3>
dichlorophenylarsine<696-28-6>
dlethylarsine
dlhydrosafrole<94-58-6>
dimethyl sulfate<77-78~l>
dimethylnitrosamine<62-75~9>
dioxane<123-91-l>
diphenyl ether<101-84-8>
dipropylaniine<142-84-7>
erbon<136-25-4>
ethyl acetate<141-78-6>
ethyl acrylate
ethyl ether<60-29-7>
ethyl methacrylate<97-63-2>
ethyl raethanesul£onate<62-50-0>
ethyl parathion<56-38-2>
ethylcyanide<107-12-0>
ethylene bisdithiocarbaaate
ethylene thiourea<96-45-7>
ethyleneimine<151-56-4>
fluorides
fluorine<7782-41-4>
fl«orotrichloromethane<75-69-4>
furan<110-00-9>
hexachlorocyclohexane<58-89-9>
hexachloroethane<67-72-l>
hexachlorophene<70-30-4>
hexachloropr opene<1888-71-7>
hexaethyl tetraphos?hate<757*58-4>
hydrazine<302-01-2>
hydrocarbons
hydrocyanic acid<74-90-8>
hydroxydinethyl arsine oxide
   <75-60-5>
iron dextran<9004-66-4>
iron<7439-89-6>
isobutyl alcohol<78-83-l>
isocyanic acid, methyl ester
   <624-83-9>
isosafrole<120-58-l>
1asiocarpine<303-34-4>
lead phosphate<7446-27-7>
lead subacetate<1335-32-6>
lithium and coapounds<7439-93-2>
»alononitrile<109-77-3>
nanganese<7439-96-5>
mate
melphalan<148-82-3>
mercury fulrainate<628-86-4>
«ethanethiol<74-93-l>
methanol<67-56-l>
aethapyr ilene<91-80-5>
methomyl<16752-77-5>
me thy aery loriitrile< 126-98-7>
methyl chlorocarbonate<79-22-l>
methyl chloroforn<71-55-6>
methyl ethyl ketone Craek)<78-93-3>
methyl ethyl ketone peroxide
   <1338-23-4>
methyl hydrazine<60-34-4>
methyl isobutyi ketone<108-10-l>
methylthiouracil<56-04-2>
mlrex<2385-85-5>
monuron<150-68-5>
n^n-bis<2-chloroethyl)-2-naphthyla
   mine<494-03-l>
n-alkanes clO-c30
n-butyl alcohol<71-36-3>
n-methyl-n'-nitro-n-nitrosoguanidi
   ne<70-25-7>
n-nitroso-n-ethylurea<759-73-9>
n-nitroso-n-nethylurea<684-93-5>
n-nitroso-n-methylurethane
   <615-53-2>
n-nitrosodi-n-butylamine<924-16-3>
n-nitrosodi-n-propylaraine
   <621-64-7>
n-nitrosodiethanolaraine<1116-54-7>
n-nitrosodiethylamine<55-18-5>
n-nitroscmethylvinylanlne
n-nitrosopiperidine<100-75«-4>
n-nitrosopyrrolidine<930-55-2>
n-phenylthiourea<103-85-5>
n-propylaraine
nickel carbonyl<12612-55-4>
nickel cyanide<557-19-7>
nicotine and salts<54-ll-5>
nitrates/nitrites
nitric oxide
                         925

-------
                             Accession No.   7301700902
                  (cont)
    nitrogen peroxlde<10102-44-0>
    nitrogen tetroxide<10544-72-6>
    nitrogen<7727-37-9>
    nitroglycerine<55-63-0>
    nitrosomethylurea<684-93-5>
    nitrosomorpholine<59-89-2>
    nonaphthalene
    o-toluidine hydrochloride
       <636-21-5>
    oleyl alcohol condensed with 2
       moles ethylene oxide
    osmium tetroxide<20816-12-0>
    ozone<10028-15-6>
    p-chloroaniline<106-47-8>
    p-dichlorobenzene<106-46-7>
    P~diTtethylarainoazobenzene<60-ll-7>
    p-nitroaniline<100-01-6>
    paraldehyde<123-63-7>
    paraquat<4685-l4-7>
    p€ntachlorobenzene<608-93-5>
    pentachloroethane<76-01-7>
    perchloroethylene<127-l8-4>
    perthane<72-56-0>
    phenacetin<62-44-2>
    phenarsazine chloride<578-94-9>
    phenyl dichloroarsin«<696-28-6>
    phenylmercury acetate<62-38-4>
    phosophorothioic acids 0*0-
       dimethyl ester, o-ester with n,
       r-dimethylbenzene
    phosphine<7803-51-2>
    phosphorus sulfide<1314-80-3>
    phthalic anhydride<85-44-9>
    Piperonyl butoxide<51-03-6>
    potassium silver cyanide<506-61-6>
    propionitrile<107*12-0>
    propoxur<114-26-l>
    propylene oxide<75-56-9>
    pyridine<110-86-l>
    gulnones
    reserpine<50-55-5>
    ronnel<299-84-3>
    rotenone<83-79-4>
    s,s,s-tributyl phosphorotrithioate
       <78-48-8>
safrole<94-59-7>
secondary amines
selealous acid<7783-00-8>
selenium sulfide<7446-34-6>
selenourea<630-10-4>
silver cyanide<506-64-9>
sodium azide<26628-22-8>
sodium<7440-23-5>
strobane<8001-50~l>
strontiui sul£ide<1314-96-l>
sulfates
sulfonamide
sulfur dioxide<7446-09-5>
tetrachloroethene
tetrachlorowethane<56-23-5>
tetraethyl dithiopyrophosphate
   <3689-24-5>
tetrahydofuran<109-99-9>
tetranitromethane<509-14-8>
thalllc ojcide<1314-32-5>
thallium acetate<563-68-8>
thallium carbonate<29809-42-5>
thallium chloride<7791-12-0>
thallium nitrate<10102-45-l>
thallium selenite
thioacetamide<62-55-5>
thioseffiicarbazide<79-19-6>
thiourea<62-56-6>
thiuram<137-26-8>
titaniun<7440-32-6>
toluene diisocyanate<2647l-62-5>
toluenediamine<25376-45-8>
triallate<2303-17-5>
tributyl phosphorotrithioate
   <78-48-8>
trichloroethene<79-01-6>
trichlororaethanethiol<75-70-7>
tris(2,3-dibromopropyl)phosphate
   <126-72-7>
tritiuni<10028-l7-8>
trypan biue<72-57-l>
trysben<50-31-7>
uracii raustard<66-75-l>
urethane<51-79-6>
vanadium<7440-62-2>
    saccharin< 81-07-2>
(CAS)  CAS registry numbers of substances included in data base: 630-20-
    6; 71-55-6; 79-34-5? 76-13-1; 79-00-5;      79-01-6; 75-34-3;
    75-35-4; 78-99-9; 191-24-2; 634-66-2; 634-90-2;     96-18-4;
    120-82-1; 96-12-8; 106-93-4; 95-50-1; 107-06-2; 78-87-5;
    122-66-7; 156-60-5; 120-82-1; 108-70-3; 107-88-0; 541-73-1;
    542-75-6;      646-06-0; 106-46-7; 111-78-4; 109-67-1; 207-08-9;
                             926

-------
                         Accession No.  7301700902     Ccont)

75-99-0? 1746-01-6;      602-01-7? 193-39-5? 95-95-4? 93-76-5?
93-72-1? 88-06-2? 94-75-7?      120-83-2? 94-75-7? 105-67-9?
51-28-5? 121-14-2? 584-84-9? 619-15-8?   606-20-2? 110-75-8?
91-58-7? 95-57-8? 108-01-0? 104-76-7? 640-19-7?   69-72-7? 50-21-5?
88-75-5? 79-46-9? 91-94-1? 205-99-2? 610-39-9?      72-55-9?
50-29-3? 534-52-1? 101-55-3? 59-50-7? 7005-72-3? 70-55-3?
100-02-7; 57-43-2? 50-06-6? 9003-56-9? 83-32-9? 208-96-8? 75-07-0?
107-89-1? 60-35-5? 103-84-4? 64-19-7? 108-24-7? 75-86-5? 67-64-1?
75-05-8? 98-86-2? 506-96-7? 75-36-5; 74-86-2? 107-02-8? 79-06-1?
79-10-7? 107-13-1? 124-04-9? 111-69-3? 15972-60-8? 309-00-2?
107-18-6? 107-05-1? 10043-01-3? 33089-61-1? 7664-41-7? 631-61-8?
1863-63-4? 1066-33-7? 7789-09-5? 1341-49-7? 10192-30-0? 1111-78-0?
506-87-6? 12125-02-9? 7788-98-9; 13826-83-0? 12125-01-8? 1336-21-6?
1113-38-8? 16919-19-0? 7773-06-0? 12135-76-1? 10196-04-0;
3164-29-2;       1762-95-4? 7783-18-8? 628-63-7; 110-58-7?
142-04-1; 62-53-3;     100-66-3; 120-12-7? 118-92-3; 84-65-1?
7647-18-9? 11071-15-1?    7789-61-9? 10025-91-9? 7783-56-4?
1309-64-4? 7440-36-0? 1327-52-2?    1303-32-8? 1303-28-2?
7784-34-1? 1327-53-3? 1303-33-9? 7440-38-2?     1332-21-4? 50-78-2?
1912-24-9? 1918-00-9? 542-62-1? 7440-39-3?   1861-40-1? 17804-35-2?
100-52-7? 55-21-0? 103-82-2? 71-43-2?     501-52-0? 98-11-3?
92-87-5? 56-55-3? 50-32-8? 191-24-2? 207-08-9;     65-85-0?
119-53-9? 100-47-0? 119-61-9? 98-88-4? 94-36-0? 100-51-6;
100-44-7; 98-87-3; 7787-47-5? 7787-49-7? 13597-99-4? 7440-41-7?
58-89-9? 319-84-6? 319-85-7? 319-86-8? 111-91-1; 111-44-4;
39638-32-9; 117-81-7? 542-88-1? 80-05-7; 108-86-1; 75-27-4;
75-25-2;       74-83-9; 106-99-0; 33629-47-9; 123-86-4? 85-68-7?
85-70-1; 109-73-9;       84-78-6; 107-92-6? 543-90-8? 7789-42-6?
7440-43-9? 58-08-2?      7778-44-1? 52740-16-6; 75-20-7;
13765-19-0? 592-01-8; 26264-06-2?     1305-62-0? 7778-54-3?
1305-78-8? 1592-23-0? 105-60-2? 133-06-2?       63-25-2? 1563-66-2?
124-38-9? 75-15-0? 558-13-4; 56-23-5; 75-73-0;    7440-44-0;
8001-79-4; 9005-81-6; 9004-35-7? 9004-70-0? 57-74-9?
7782-50-5? 79-11-8? 1341-24-8? 108-90-7? 510-15-6? 124-48-1?
75-45-6?      75-00-3? 67-66-3? 74-87-3? 126-99-8; 7790-94-5?
2921-88-2? 57-88-5?   67-48-1? 1066-30-4? 7738-94-5? 10101-53-8?
7440-47-3? 7440-47-3?      10049-05-5? 218-01-9? 156-59-2? 60-33-3?
8007-45-2? 7789-43-7?   544-18-3? 14017-41-5? 65996-81-8?
7440-50-8? 56-72-4? 8021-39-4?      1319-77-3? 4170-30-3?
3724-65-0? 80-15-9? 142-71-2? 12002-03-8?       7447-39-4?
3251-23-8? 814-91-5? 10380-29-7? 7758-98-7? 815-82-7?
21725-46-2? 57-12-5? 372-09-8? 506-77-4? 108-80-5? 108-77-0?
110-82-7? 108-93-0? 110-83-8? 108-91-8? 112-30-1? 1740-19-8?
84-69-5;      84-74-2; 117-84-0; 121-69-7? 123-42-2? 2303-16-4?
333-41-5; 53-70-3?       84-74-2? 1918-00-9? 1194-65-6? 117-80-6?
25321-22-6? 75-27-4?    75-71-8? 111-44-4; 26545-73-3? 75-09-2?
26952-23-8? 1320-37-2?   62-73-7? 101-83-7? 77-73-6? 84-77-5?
60-57-1? 1464-53-5; 84-66-2;     64-67-5; 109-89-7? 124-17-4?
112-34-5? 112-15-2? 111-77-3? 111-46-6?       56-53-1? 25167-70-8?
27554-26-3? 26761-40-0? 108-18-9? 674-82-8?      60-51-5? 131-11-3?
75-18-3? 67-68-5? 120-61-6? 124-40-3? 79-44-7?     25154-54-5?
25321-14-6? 828-00-2? 122-39-4? 102-08-9? 25265-71-8?


                         927

-------
                         Accession No.  7301700902     (cont)

2764-72-9; 298-04-4; 330-54-1? 112-55-0; 27176-87-0; 27193-86-8;
139-02-6; 60-00-4; 1031-07-8; 959-98-8; 33213-65-9; 115-29-7;
7421-93-4; 53494-70-5; 72-20-8; 106-89-8; 2104-64-5; 61788-97-4;
563-12-2; 141-97-9; 74-96-4; 75-00-3; 105-39-5; 75-08-1; 75-04-7;
100-41-4; 107-07-3; 106-93-4; 107-06-2; 111-55-7; 110-71-4;
112-07^2;      111-76-2; 110-80-5; 110-49-6; 109-86-4; 107-21-1;
75-21-8; 74-85-1;   107-15-3; 149-57-5; 115-90-2; 1185-57-5;
14221-47-7; 7705-08-0;       7783-50-8; 10421-48-4; 10028-22-5;
10045-89-3; 7758-94-3; 7720-78-7;       206-44-0; 86-73-7;
16984-48-8; 50-00-0; 75-12-7; 64-18-6; 110-17-8;   98-01-1;
106-24-1; 142-47^2; 56-81-5; 26545-73-3; 25791-96-2;    556-52-5;
56-40-6; 107-22-2; 86-50-0; 7440-59-7; 1024-57-3; 76-44-8;
25339-56-4; 118-74-1; 87-68-3; 77-47-4; 67-72-1; 67-72-1; 57-10-3;
36653-82-4; 100-97-0; 124-09-4; 7647-01^0; 7664-39-3; 74-90-8;
7783-06-4; 1333-74-0; 9004-62-0; 193-39-5; 7553-56-2; 26760-64-5;
110-19-0; 79-31-2; 26952-21-6; 465-73-6; 78-78-4; 78-59-1;
121-91-5;       5835-26-7; 78-79-5; 67-63-0; 108-21-4; 67-63-0;
75-29-6; 108-20-3;    25168-06-3; 75-31-0; 115-32-2; 143-50-0;
463-51-4; 301-04-2;     7758-95-4; 7783-46-2; 13814-96-5;
10101-63-0; 10099-74-8; 1072-35-1;       7446-14-2; 1314-87-0;
592-87-0; 7439-92-1; 58-89-9; 60-33-3;     14307-35-8; 108-42-9;
108-39-4; 541-73-1; 108-38-3; 121-75-5;    110-16-7; 108-31-6;
123-33-1; 108-78-1; 2032-65-7; 592-04-1;     10045^94-0; 7783-35-9;
592-85-8; 10415-75-5; 7439-97-6; 141-79-7;     121-47-1; 563-47-3;
74-82-8; 950-37-8; 72-43-5; 79-20-9; 105-45-3;    591-78-6;
74-87-3; 107-31-3; 74-88-4; 108-11-2; 74-93-1; 80-62-6;
298-00-0; 119-36-8; 67-68-5; 74-89-5; 108-87-2; 6317-18-6; 75-09-2;
101-77-9; 77-75-8; 7786-34-7; 315-18-4; 57055-38-6; 75-04-7;
74-89-5;      110-91-8; 68-12-2; 121-69-7; 68-12-2; 530-50-7;
25167^67-3; 123-86-4;      84-74-2; 141-32-2; 109-73-9; 123-72-8;
106-31-0; 98-73-7; 100-61-8;   621-64-7; 62-75-9; 86-30-6;
109-66-0; 71-23-8; 300-76-5; 91-20-3;     1336-24-5; 7440-01r9;
75-98-9; 7785-20-8; 7718-54-9; 12054-48-7;      13138-45-9;
7786-81-4; 7440-02-0; 4726-14-1; 14797-55-8; 7697-37-2;   98-95-3;
79-24-3; 10102-44-0; 11104-93-1; 75-52-5; 25154-55-6;   25154-52-3;
25038-54-4; 95-51-2; 88-73-3; 95-49-8; 95-48-7; 95-50-1;
90-05-1; 88-74-4; 95-47-6; 57-11-4; 152-16-9; 119-07-3; 27193-28-8;
7782-44-7; 123-30-8; 59-50-7; 106-43-4; 106-44-5; 99-96-7; 98-73-7;
106-42-3; 30525-89-4; 56-38-2; 12674-11-2; 11104-28-2; 11141-16-5;
53469-21-9; 12672-29-6; 11097-69-1; 11096-82-5; 82-68-8; 87-86-5;
594-42-3; 85-01-8; 108-95-2; 75-44-5; 7664-38-2; 10025-87-3;
1314-80-3; 7719-12-2; 7723-14-0; 88-99-3; 85-41-6; 110-85-0;
7440-06-4; 63428-83-1; 25038-59-9; 25322-68-3; 25322-69-4;
9002-89-5;      9002-86-2; 9003-39-8; 7784-41-0; 10124-50-2;
20762-60-1; 7778-50-9;   7789-00-6; 151-50-8; 1310-58-3; 7722-64-7;
23950-58-5; 1918-16-7;     74-98-6; 709-98-8; 2312-35-8; 123-38-6;
79-09-4; 123-62-6; 109-60-4;       540-54-5; 78-87-5; 57-55-6;
75-56-9; 115-07-1; 129-00-0; 121-29-9;    91-22-5; 108-46-3;
69-72-7; 78-92-2; 13952-84-6; 12640-89-0;     7782-49-2; 7631-86-9;
7761-88-8; 7440-22-4; 93-72-1; 122-34-9;   127-09-3; 7631-89-2;
7784-46-5; 532-32-1; 10588-01r9; 1333-83-1;      7631-90-5;
9004-32-4; 3926-62-3; 7775-11-3; 143-33-9; 25155-30-0;


                         928

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                         Accession No.  7301700902     (cont)

7681-49-4; 62-74-8; 141-53-7; 16721-80-5; 1310-73-2; 7681-52-9;
124-41-4; 7632-00-0; 7558-79-4; 7601-54-9; 10102-18-8; 7440-23-5;
110-44-1; 7789-06-2; 57-24-9; 57-24-9; 100-42-5; 110-15-6; 57-50-1;
121-57-3; 14808-79-8; 126-33-0; 10025-67-9; 7704-34-9; 7664-93-9;
1401-55-4; 72-54-8; 100-21-0; 75-65-0; 75-64-9; 127-18-4; 117-08-8;
78-00-2; 107-49-3; 110-18-9; 75-74-1) 7446-18-6; 7440-28-0;
23564-05-8; 110-02-1; 13463-67-7; 95-80-7; 108-88-3; 1333-07-9;
98-59-9; 8001-35-2; 75-25-2; 78-48-8; 52-68-6; 25323-89-1; 79-01-6;
75-69-4; 25167-82-2; 27323-41-7; 121-44-8; 112-27-6; 112-24-3;
1582-09-8; 75-50-3; 7440-33-7; 7440-61-1; 541-09-3; 10102-06-4;
57-13-6; 1314-62-1; 27774-13-6; 108-05-4; 75-01-4; 25013-15-4;
75-35-4; 111-41-1; 25321-41-9; 1330-20-7; 1300-71-6; 1300-73-8;
557-34-6; 1332-07-6; 7699-45-8; 3486-35-9; 7646-85-7; 7783-49-5;
557-41-5; 7779-86-4; 7779-88-6; 127-82-2; 1314-84-7; 16871-71-9;
7733-02-0; 7440-66-6; 13746-89-9; 16923-95-8; 14644-61-2;
10026-11-6;      311-45-5; 57^14-7; 95-94-3; 1615-80-1; 540-73-8;
57-55-6; 504-60-9;   1120-71-4; 110-57-6; 123-91-1; 130-15-4;
5344-82-1; 106-89-8;    86-88-4; 134-32-7; 58-90-2; 541-53-7;
87-65-0; 1338-23-4; 131-89-5;   80-62-6; 75-55-8; 75-86-5; 91-59-8;
109-06-8; 107-19-7; 88-85-7;      119-90-4; 119-93-7; 542-76-7;
56-49-5; 72-55-9; 50-29-3; 101-14-4;    3165-93-3; 99-55-8;
145-73-3; 20859-73-8; 7429-90-5; 61-82-5;    131-74-8; 140-57-8;
2465-27-2; 115-02-6; 225-51-4; 98-87-3; 98-09-9;       108-98-5;
92-87-5; 98-07-7; 92-52-4; 7440-69-9; 7440-42-8; 7726-95-6;
598-31-2; 357-57-3; 75-60-5; 630-08-0; 353-50-4; 75-87-6; 305-03-3;
118-75-2; 107-20-0; 75-01-4; 110-75-8; 107^30-2; 7440-48-4;
544-92-3;      1319-77-3; 98-82-8; 506-68-3; 460-19-5; 108-94-1;
50-18-0;       20830-81-3; 8065-48-3; 621-64-7; 132-64-9; 189-55-9;
124-48-1;   74-95-3; 696-28-6; 94-58-6; 77-78-1; 62-75-9; 123-91-1;
101-84-8;     142-84-7; 136-25-4; 141-78-6; 140-88-5; 60-29-7;
97-63-2; 62-50-0;    56-38-2; 107-12-0; 96-45-7; 151-56-4;
7782-41-4; 75-69-4; 110-00-9;   58-89-9; 67-72-1; 70-30-4;
1888-71-7; 757-58-4; 302-01-2; 74-90-8;    75-60-5^ 9004-66-4;
7439-89-6; 78-83-1; 624-83-9; 120-58-1; 303-34-4;      7446-27-7;
1335-32-6; 7439-93-2; 109-77-3; 7439-96-5; 148-82-3;
628-86-4; 74-93-1; 67-56-1; 91-80-5; 16752-77-5; 126-98-7; 79-22-1;
71-55-6; 78-93-3; 1338-23-4; 60-34-4; 108-10-1; 56-04-2; 2385-85-5;
150-68-5; 494-03-1; 71-36-3; 70-25-7; 759-73-9; 684-93-5; 615-53-2;
924-16-3; 621-64-7; 1116-54-7; 55-18-5; 100-75-4; 930-55-2;
103-85-5;      107-10-8; 12612-55-4; 557-19-7; 54-11-5; 10102-43-9;
10102-44-0;      10544-72-6; 7727-37-9; 55-63-0; 684-93-5; 59-89-2;
636-21-5;     20816-12-0; 10028-15-6; 106-47-8; 106-46-7; 60-11-7;
100-01-6;   123-63-7; 4685-14-7; 608-93-5; 76-01-7; 127-18-4;
72-56-0; 62-44-2;   578-94-9; 696-28-6; 62-38-4; 7803-51-2;
1314-80-3; 85-44-9; 51-03-6;       506-61-6; 107-12-0; 114-26-1;
75-56-9; 110-86-1; 50-55-5; 299-84-3;   83-79-4; 78-48-8; 81-07-2;
94-59-7; 7783-00-8; 7446-34-6; 630-10-4;   506-64-9; 26628-22-8;
7440-23-5; 8001-50-1; 1314-96-1; 7446-09-5;     127-18-4; 56-23-5;
3689-24-5; 109-99-9; 509-14-8; 1314-32-5;     563-68-8; 29809-42-5;
7791-12-0; 10102-45-1; 62-55-5; 79-19-6;   62-56-6; 137-26-8;
7440-32-6; 26471-62-5; 25376-45-8; 2303-17-5;      78-48-8;
79-01-6; 75-70-7; 126-72-7; 10028-17-8; 72-57-1; 50-31-7;


                         929

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                             Accession No.   7301700902     (cont)

    66-75-1; 51-79-6; 7440-62-2
(CNM)  Contact name(s): Bradshau,J.    ;    Corbln,F* ;    Quinlan,J.
(ROR)  Responsible Organization:  Office of  Pesticides and Toxic
    Substances.Office of Toxic Substances.Management Suppo
                             930

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                             Accession No.   7301700903

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model:  Chemical Regulations and Guidelines
    System
(ACR)  Acronym of Data Base or Model:  CRGS
(MED)  Media/Subject of Data Base or Model: All aspects of  regulatory
    control of chemicals     are covered Including:#      o Disposal
    o Trade Restrictions^       o Manufacture                   o
    Transportation!      o Occupational Health           o  Use#       o
    Product Registratlonf    #   Fields covered Include:^  #       o
    Aeronautics                   o Foodff      o Agriculture
    o Minlngft         o Consumer Products             o Nuclear
    Technologyt       o Cosmetics                     o Petrochemicals^
    o Energy                        o Pharmaceuticals^      o
    environment Protection        o Transportation^   #
(ABS)  Abstract/Overview of Data Base or Model: CHEMICAL REGULATIONS
    AND GUIDELINES SYSTEM   (CRGS) is an authoritative  index to U.S.
    federal regulatory material  relating to the control of chemical
    substances/ covering federal statutes,  promulgated  regulations and
    available federal guidelines/   standards/ and support documents*
    CRGS follows the regulatory   cycle and includes an up-to-date
    reference to each document/     including main documents and
    revisions published in the Federal  Register.  Each chemical cited
    In a regulatory document is Indexed    by name/ CAS Registry
    Number/ and a chemical role tag.  The latter    gives information
    on the context in which the substances  appear in    the document.
    CRGS also provides links between the statutes/ the      regulations
    promulgated under these statutes/ and the support    documents
    generated prior to the promulgation of  a regulation*  Each
    document is described in terms of publication date/ title/
    abstract/  index terms/ and chemical identifiers.  Index terms are
    assigned from the CRGS Thesaurus which  will be available online in
    the CRGS    file.
(CTC)  CONTACTS: Subject matter   Paula Miles  (202) 426-2447;
    Computer-related Paula Miles (202) 426-2447; EPA Office Paula Miles
    (202) 426-2447.
(DTP)  Type of data collection or monitoring: CRGS represents data
    obtained from official   sources of regulatory material including
    the U.S. Code and its   supplements/ Statutes at Large/ Code of
    Federal Regulations/     Federal Register/ and other material
    obtained directly from federal   agencies.
(STA)  Data Base status: Federal segment available publically on DIALOG
    information Retrieval Service.  CRGS is not currently funded for
    update.
(NPP)  Non-pollutant parameters included in the data base:  Statutes/
    regulations/ standards and guidelines currently  in effect*
(DS)  Time period covered by data base: 01-01-30 TO 12-30-81
(TRM)  Termination of data collection: Currently terminated awaiting
    funding for update.
(FRQ)  Frequency of data collection or sampling: As funded; not
    currently funded.
(NOB)  Number of observations in data base: 3/000 records.
(NEI)  Estimated annual Increase of observations in data base: 1/000


                             931

-------
                             Accession No.   7301700903      (cont)

    records/yr.
(INF)  Data base includes: Regulatory citations ;Indlcative abstract
    ;"Descriptors" common to all regulator  Concept and  index terns
    (Thesaurus) chemical name ;CAS number ;  Qualified  "colen of
    regulated substances
(NTS)  Total number of stations or sources  covered in data base: (N/A.)
(NCS)  NO.  stations or sources currently originating/contributing data:
    (N/A.)
(NQF)  Number of facilities covered in data base (source monitoring):  0.
(GEO)  Geographic coverage of data bases National
(LQC)  Data elements identifying location of station or source include;
    Promulgating agency ^Official document  citation ^Geographic
    regulatory coverage
(FAC)  Data elements identifying facility Include: N/A
(CDE)  Pollutant identification data are: CAS registry  number
(ANL)  Lab  analysis based on EPA-approved or accepted methods? N/A
(AUD)  Lab  Audit: N/A
(PRE)  Precision: Precision and accuracy estimates are  not applicable.
(EOT)  Fditting: Edit procedures used and documented.
(CBY)  Data collected by: Contractor CRC Systems* Fairfax, va.
(ABY)  Data analyzed by: Data not analyzed
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Retrieval of federal
    regulations or standards
(PR2)  Secondary purpose of data collection: Compliance or enforcement
(AUT)  Authorization for data collection: Statutory authorization is P
    L 94-469, Sections 9-10 {Toxic Substances Control of 1976-TSCA)
(OMB)  Data collected/submitted using QMB-approved EPA  reporting forms:
    QQ
(REP)  Fora of available reports and outputs of data base: Printouts OR
    request.
(BUS)  Number of regular users of data base: 200
(USR)  Current regular users of data base:  Government,  industry,
    academia
(CNF)  Confidentiality of data and limits on access: No limits on
    access  to data
(DLC)  Primary physical location of data: Dialog Information Services,
    Inc.
(DST)  Form of data storage: N/A
(DAC)  Type of data access: Interactive query on Dialog Information
    Services
(CHG)  Direct charge for non-EPA use: yes
(OPDT)  Frequency of data base master file  up-date: As  funded; monthly
    is objective
(RDBEPA)  Related EPA data bases used in conjunction tilth this data base
    NIfl/EPA CIS's Federal Register Search System (FRSS)
(CMP)  Completion of forms
    Paula Miles*  OFC: EPA/(OPTS)/(OTS)/(MSD)
    AD: 401 M St., S.W. Washington, DC 20460
    PH: (202) 382-3775
(DF)  Date  of form completion: 12-10-82
(CNM)  Contact name(s): Miles, P.  ;  Miles,?.  ;  Miles,P.


                             932

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                             Accession No.   7301700903     (cent)

(ROR)  Responsible Organization:  Office of  Pesticides and Toxic
    Substances.Off ice of Toxic Substances.Management Suppo
                             933

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                             Accession No.   7301700904

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Kane of Data Base of Model:  On-Llne  Chemical Inventory  System
(ACR)  Acronym of Data Base or Model:  OLCIS
(MED)  Media/Subject of Data Base or Model: No specific media
(ABS)  Abstract/Overview of Data Base or Model:  the Toxic  Substances
    Control Act (TSCA) provides EPA with   authority to regulate
    commercial chemical substances, which pose unreasonable  risk  to
    man and the environment*  OLCIS supports this effort.   Information
    maintained     are chemical, plant/ and production  volumes.   It
    contains chemicals raanu-  factured or imported in the  U.S., nhat
    chemicals are manufactured or  imported  at a given site,  where
    plants are located, and their names* There are    data  for about
    55,000 chemicals in OLCIS, including the approxisnately 700 in the
    Clearinghouse*
(CTC)  CONTACTS:  Subject matter   Geri Nowak  (202)382-3568;
    Computer-related Fred Zaiss (202)382-3617
(DTP)  Type of data collection or monitoring: Combination/Other
    chemical manufacturing and production data
(STA)  Data Base  status: Operational/ongoing
(NPP)  Non-pollutant parameters included in the data base: Chemical
    data ^Location ^Manufacturer ^Production levels
(DS)  Time period covered by data base: 01-01-77 TO 12-30-77
(TRM)  Termination of data collection: Occurred 12/30/78
(FRQ)  Frequency  of data collection or sampling: one time  only ;Other
    TSCA allous EPA to collect additional information,  as  regui which
    may serve to  update the data base.
(NOB)  Number of  observations in data base: 54500
    substances.(Estimated)
(NED  Estimated  annual increase of observations In data base: (unknown*
(INF)  Data base  includes: Summary aggregate observations
(NTS)  Total number of stations or sources  covered in data base:  7700
    (sites.)
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(NOF)  Number of  facilities covered in data base (source monitoring): (N
    /A.)
(GEO)  Geographic coverage of data base: National
(LQC)  Data elements identifying location of station or source include:
    S/A
(FAC)  Data elements identifying facility include: Plant facility name
    ;Plant location jStreet address ;Dun Bradstreet ;  Program
    identifier
(CDE)  Pollutant  identification data are: CAS registry  number
(LiM)  Limitation/variation in data of which user should be  aware: The
    OLCIS On-line User's Guide should be consulted  prior  to
    accessing the information.  Quality assurance questions  are not
    applicable.
(EDT)  Editting:  Edit procedures used and documented.
(CBY)  Data collected by: Contractor Chemical Abstracts Service
(ABY)  Data analyzed by: EPA headquarters Office of Pesticides and
    Toxic Substances  (OPTS)/Office  of Toxic Substances (OTS)
(IDL)  Laboratory identification: NO


                             934

-------
                             Accession Ho.   7301700904     (cont)

(PHI)  Primary purpose of data collection:  Development of regulations
    or standards
(PP2)  Secondary purpose of data collections Risk assessment
(AUT)  Authorization for data collection:  Statutory authorization  is
    P L 94-469, Sections 8(a) and 8(b) Toxic Substances Control Act
    (fSCA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    158S77011
(REP)  Form of available reports and outputs of data base: 055-007-00004
    -If 055-007-00003-9, 055-000-00189-8:   Government   Printing Office
    TSCA chemical inventory, PB-295-108 National Technical
    Information Service (NTIS) magnetic tape.
    Printouts on request
    Microfilm
    On-line computer
(NUS)  Number of regular users of data base: 8 offices
(USR)  Current regular users of data base:  EPA headquarter offices
    Offices of Pesticides and Toxic Substances,   Office of Toxic
    Substances, Office of Enforcement, Office of Solid Haste, Office of
    Research  and Development, Office of Drinking Mater, Office of
    Water Program    Operations,    Office of Air Quality Planning and
    Standards
    Other federal agencies
(CNF)  Confidentiality of data and limits on access: Limits on access
    Hithin EPA and outside agency for some  data
(DLC)  Primary physical location of data:  Contractor
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software OLCIS  MIDS;7301700904 ;
    EPA hardware DECSYSTEH-2020.  Also available from the NIH/EPA
    Chemical Information System*  Component name is TSCAPP (TOSCA
    Plant and Production Data).
(CHG)  Direct charge for non-EPA use: no outside use/access permitted
(UPDT)  Frequency of data base master file up-date: Other selected
    portions/chemicals updated as required
(CMP)  Completion of form:
    Substances (OPTS)/
    Office of Toxic Substances (QTS)/Hanagement Support Division (HSD)
    AD: 401 M St, SM, Washington, DC 20460
    PH: (202)426-4697
(OF)  Date of form completion: 12-10-82
(HMAT)  Number of substances represented in data base: 570
(NCAS)  Number of CAS registry numbers in data base: 577
(MAT)  Substances represented In data base:
    aceTiaphthene<83-32-9>                acetyl bromide<506-96-7>
    acenaphthylene<208-96-8>             acetyl chloride<75-36-5>
    acetaldehyde<75-07-0>                acroleln<107-02-8>
    acetic acid<64-19-7>                 acrylamide<79-06-l>
    acetic anhydrlde<108-24-7>           acrylic acid<79-10-7>
    acetone cyanohydriiK75-86-5>         adipic acid<124-04-9>
    acetone<67-64-l>                     allyl alcohol<107-18-6>
    acetonitrile<75-05-8>                allyl chloride<107-05-l>
    acetophenone<98-86-2>


                             935

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                         Accession No.  7301700904
                  (cont)
alpha/alpha-dimethylbenzylhydro-
   peroxide<80-15-9>
alpha,alpha-dinethylphenethylamine
   <122-09-8>
alpha-chlorotoluene<100-44-7>
0,0-diethyl-0-(2-py 1,1,1-
   trichloroethane<71-55-6>
If1,2,2,-tetrachioroethane
   <79-34-5>
l,l,2-trichloroethane<79~00-S>
l,l,2-trichloroethene<79-01-6>
l,l-dichloroethane<75-34-3>
1,1-dichlo rb ethylene<7 5-35-4>
l,l<-diiaethylhydrazine<57^14-7>
l,2,4,-trichlorobenzene<120-82-l>
1,2,4,5-tetrachlorobenzene
   <95-94-3>
1,2-dibromo-3-chioropropane (dbcp)
   <96-12-8>
l,2-dibromoethane<106-93-4>
1,2-dichloroben2ene<95-50-l>
l,2-dichloroethane<107-06-2>
If 2-dichloropropane<78-87-5>
If2-dichloropropylene< 563-54-2>
l,2-diphenylhydrazine<122-66-7>
If2-propanediol<57^55-6>
1, 7.- tr ans- dich loro et hy lene
   <156-60-5>
1,3,4 trichlorobenzene<120-82-l>
l,3-dichlorobenzene<541-73-l>
l,3-dichloropropene<542-75-6>
1,3-pentadiene<504-60-9>
1,3-propane sultoae<1120-71-4>
l,4-dichloro-2-but8ne<110-57-6>
1,4-dichlorobenzene<106-46-7>
l,4-dioxane<123-91-l>
1,4-naphthoquinone<130-15-4>
l-(o-chlorophenyl)thlourea
   <5344-82-l>
l-chloro-2,3-epoxypropane
   <106-89-8>
l-naphthyl-2-thiourea<86-88-4>
l-naphthylamIne<134-32-7>
2, 2-dichloroproplonic acid
   <75-99-0>
2,4,5-trichlorophenol<95-95-4>
2,4,5-trichlorophenoxyacetic acid
   (T)<93-76-5>
2,4,5-trichlorophenoxypropionic
   acid (TP)<93-72-l>
2,4,6-trichlorophenol<88-06-2>
2,4-d acid<94-75-7>
2,4-dichlorophenol<120-83-2>
2,4-dlchlorophenoxyacetic acid (2,
   4-d)<94-75-7>
2, 4-diraethy IphenoK 105-67^-9>
2, 4-dinitrophenol<51-28-5>
2,4-dinitrotolucne<12l-14-2>
2,4-dithiobiuret<541-53-7>
2,6-dichlorophenol<87-65-0>
2,6-dinitrotoluene<606-20-2>
2-butanone peroxide<1338-23-4>
2-chloroethyl»inyl ether<110-75-8>
2-chloronaphthalene<91-58-7>
2-chlorophenol<95-57-8>
2-fluoroacstamide (1081)<640-19-7>
2-raethyl-2-(raethylthio)propionalde
   hy de-o- ( me thylcarbony 1 } oxlne
   <80-62
   -6>
2-«ethylaiiridlne<75-55-8>
2-fflethyllactonltrlle<75-86-5>
2-naphthylamine<91-59-8>
2-nitrophenol<88-75-5>
2-nitropropane<79-46-9>
2-picoline<109-06-8>
2-propyn-l-01<107-19-7>
2-sec butyl-4,6-dinitrophenol
   <88-85-7>
3,3*-dichlorobenzidine<91-94-l>
3,3*-diiBethoxybeiizidine<119-9(H4>
3,3 '-dime thyl-l{methy lthio)-2-
   butanone-0- ( (ne thy lamino)
   carbonyl)oxlme
3,3 '-dimethylbenzidine
   <119-S 3-chloropropionitrile
   <542-76-7>
3-methylcholanthrene< 56-49- 5>
4,4'-dde
4,4*-ddt<50-29-3>
4,4*-fflethylene-bls-(2-chloroanilin
4,6-dinitro-o-cresol<534-52-l>
4-Afflinopyridine<504-24-5>
4-broraophenyl phenyl ether
   <101-55-3>
4-chloro-o-tolxiidine hydrochloride
   <3165-93-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
5-(arainornethyl)-3-isoxazolol
   <2763-96-4>
5-nltro-o-toluidine<99-55-8>
                         936

-------
                         Accession No.   7301700904
                  (cont)
<39196-18-4>
aluminum phosphide<20859-73-8>
aluminum sulfate<10043-01-3>
alundnum<7429-90-5>
amiti:ole<61-82-5>
aramoni a<7664-41-7>
ammonium acetate<631-61-8>
ammonium benzoate<1863-63-4>
ammonium bicarbonate<1066-33-7>
ammonium bichromate<7789-09-5>
ammonium bit luoride<1341-49-7>
ammonium bisulf ite<10192-30-0>
ammonium carbamate
ammonium carbonate<506-87-6>
ammonium chlorlde<12125^02-9>
ammonium chromate<7788-98-9>
ammonium citrate<7632-50-0>
ammonium f luoborate
ammonium f luoride<12125-01-8>
ammonium hydroxide<1336-21-6>
ammonium oxalate<1113-38-8>
ammonium picrate<131-74-8>
ammonium silicof luoride
   <16919-19-0>
ammonium sulfanate<7773-06-0>
ammonium sulf ide<12135-76-l>
ammonium sulf ite
ammonium tartrate<3l64-29-2>
ammonium thiocyanate<1762-95-4>
ammonium thiosulfate<7783-18-8>
amyl acetate<628-63-7>
anillne<62-53-3>
ant hracene
antimony pentachloride<7647-18-9>
antimony potassium tar tr ate
antimony trichloride<10025-91-9>
antimony trifluoride<7783-56-4>
antimony trioxide<1309-64-4>
antimony<7440-36-0>
arsenic acid<1327-52-2>
arsenic pentoxide<1303-28-2>
arsenic trichloride<7784-34-l>
arsenic trioxide<1327-53-3>
arsenic trisulfide<1303-33-9>
arsenic<7440-38-2>
asbestos<1332-21-4>
atrazine<1912-24-9>
auramlne<2465-27-2>
barium cyan! de< 5 42-62- 1>
barium<7440-39-3>
benomyl<17804-35-2>
benzal chloride<98-87-3>
benzene<71-43-2>
benzene sulf onyl chloride<98-09-9>
benzene thiol<108-98-5>
benzidine<92-87-5>
benzo(a)anthracen«<56-55-3>
benzo{a)pyrene<50-32-8>
benzole acid<65-85-0>
benzoni trile<100-47-0>
benzotrichloride<98-07-7>
benzoyl chloridc<98-88-4>
benzyl chloride<100-44-7>
beryllium chloride<7787-47-5>
beryllium fluorlde<7787-49-7>
berylliuK nltrate<13597-99-4>
berylliui»<7440-41-7>
bhc 
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
blphenyl<92-52-4>
bis(2-chloroethoxy)oe thane
bis(2-chloroethyl)ether
bis(2-chloroisopropyl)ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis(chlororaethyl)ether<542-88-l>
bismuth compounds<7440-69-9>
boron compounds<7440-42-8>
bromine<7726-95-6>
bromobenzene<108-86-l>
bromodichloromethane<75-27-4>
b r omome th ane< 7 4- 8 3- 9>
brucine<357-57-3>
butyl acetate<123-86-4>
butyl benzyl phthalate<85-68-7>
butylamine<109-73-9>
butyric acid<107-92-6>
cacodylic acid and salts<75-»60-5>
cadmium acetate<543-90-8>
cadmium bromide<7789-42-6>
cadmium<7440-43-9>
calcium arsenate<7778-44-l>
calcium carbide<75-20-7>
calcium chronate<13765-19-0>
calcium cyanide<592-01-8>
calcium dodecylbenzenesulfonate
calcium hydroxide<1305-62~0>
calcium hypochlorite<7778-54-3>
                         937

-------
                         Accession No.  7301700904
                  < cont)
calcium oxide<1305-78-8>
captan<133-06-2>
carbaryl<63-25-2>
carbon dlsulfide<75-15-0>
carbon monoxide<63Q-08-0>
carbon tetrachloride<56-23-5>
carbonyl fluoride<353~50-4>
chloral<75~87-6>
chloranil<118-75-2>
chlorine<7782-50-5>
chloroacetaldehyde<107-20-0>
chlorobenzene<108-90-7>
chlorobenzilate<510-15~6>
chlorodibroraomethane<124-48-l>
chloroethane<75-00-3>
chloroethene<75-01-4>
chloroethyl vinyl ether<110-75-8>
chloroform<67-66-3>
chloroiaethane<74-87-3>
chloromethyl methyl ether
   <107-30-2>
chloroprene<126-99-8>
chlorosulfonic acid<7790-94-5>
chromic acetate<1066-30-4>
chromic acid<7738-94-5>
chromic sulfate<10101-53-8>
chromium<7440-47-3>
chrysene<218-01-9>
cis-l,2-dichloroethylene<156-59-2>
coal tar<8007-45-2>
cobalt<7440-48-4>
cobaltous forfflate<544-18-3>
copper cyanide<544-92-3>
cr eoso te<8 021-3 9-4>
cresol<1319~77-3>
cresylic acid<1319-77-3>
crotonaldehyde<4170-30-3>
cumene<98-82-8>
cupric acetate<142-71-2>
cupric chloride<7447-39-4>
cupric nitrate<3251-23-8>
cupric oxalate<814-91-5>
cupric sulfate<7758-98-7>
cupric tartrate<815-82-7>
cyanide<57-12-5>
cyanogen broraide<506-68-3>
cyanogen chloride<506-77-4>
cyanogen<460-19-5>
cyclohexane<110-82-7>
cyclohexanone<108-94-l>
di-isopropylfluorophosphate
   <55-91-4>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
di-n-propylnitrosanine<€21-64-7>
diazinon<333-41-5>
dibenzo(a,h>anthracene<53-70-3>
dibenzofuran<132-64-9>
dibroinachloronethane<124-48-l>
dibromora€thane<74-95-3>
dibutyl phthalate<84-74-2>
dichlone<117-80-6>
dichlorobroraoraethane<75-27-4>
dichlorodifluoromethane<75-71-8>
dichloroiEethane<75-09-2>
dichlorophenylarsine<696-28-6>
dichloropropane<78-87-5>
dichloropropene<542-75-'6>
dichlorvos (ddvp)<62-73-7>
diepoxybutane<1464-53-5>
diethyl phthalate<84-66-2>
diethylaiaine<109-89-7>
dihydrosafrole<94-58-6>
dimethoate<60-51-5>
dimethyl phthalate<131-ll-3>
dimethyl sulfate<77-78-l>
diBethylamine<124-40-3>
dimethyIcarbamoyl chloride
   <79-44-7>
dimethylnItrosamine<62-75-9>
dinitrotoluene<25321-14-6>
dioxane<123-91-l>
dioxin<828-00-2>
dipropylaraine<142-84-7>
diuron<330-54-l>
dodecylbenzenesulfonic acid
   <27176-87-0>
edta<60-00-4>
epichlorohydrin<106-89-8>
ethyl acetate<141-78-6>
ethyl acrylate<140-88-5>
ethyl chloride<75-00-3>
ethyl ether<60-29-7>
ethyl methacrylate<97-63-2>
ethyl methanesulfonate<62-50-0>
ethylbenzene<100-41-4>
ethylcyanide<107-12-0>
ethylene dibromlde 
ethylene dichloride<107-06-2>
ethylene oxide<75-21-8>
ethylene thiourea<96-45-7>
ethylenediaffline<107-15-3>
ethylenei«ine<151-56~4>
ferric ammonium citrate<1185-57-5>
                         938

-------
                         Accession No.   7301700904
                  (cent)
ferric ammonium oxalate
   <14221-47-7>
ferric chloride<7705-08-0>
ferric fluoride<7783-50-8>
ferric nitrate<10421-48-4>
ferric sulfate<10028-22-5>
ferrous ammonium sulfate
   <10045-89-3>
ferrous chloride<7758-94-3>
ferrous sulfate<7720-78-7>
fluoranthene<206-44-0>
fluorene<86-73-7>
fluorine<7782-41-4>
fluorotrichlororoethane<75-69-4>
formaldehyde<50-00-0>
formic acid<64-18-6>
furaaric acid<110-17-8>
furan<110-00-9>
furfural<98-01-l>
hexachlorobenzene<118-74-l>
hexachlorobutadiene<87-68-3>
hexachlorocyclohexane<58-89-9>
hexachlorocyclopentadiene<77^47-4>
hexachloroethane<67-72-l>
hexachlorophene<70-30-4>
hexachloropropene
hydrazine< 30 2-01-2>
hydrochloric acid<7647-01-0>
hydrocyanic acid<74-90-8>
hydrofluoric acid<7664-39-3>
hydrogen cyanide<74-90-8>
hydrogen sulfide<7783-06-4>
hydroxydimethyl arsine oxide
   <75-60-5>
indeno (l,2/3-cd)pyrene<193-39-5>
iodometharie< 74-88-4>
iron<7439-89-6>
isobutyl alcohol<78-83-l>
isocyanic acid/ methyl ester
   <624-83-9>
isophorone<78-59-l>
isoprene<78-79-5>
isosafrole<120-58-l>
lead acetate<301-04-2>
lead chloride<7758-95-4>
lead fluoride<7783-46-2>
lead fluoroborate<13814-96-5>
lead iodide
lead nitrate<10099-74-8>
lead phosphate<7446-27-7>
lead s tear ate
lead subacetate<1335-32-6>
lead suL£ate<7446-14-2>
lead sulfide<1314-87-0>
lead thlocyanate<592-87-0>
lead<7439-92-l>
lindane<58-89-9>
lithium and compounds<7439-93-2>
lithium chromate<14307^35-8>
m-cresol<108-39-4>
m-xylene<108-38-3>
maleic acid<110-16-7>
oaleic anhydride<108-31-6>
maleic hydrazide<123-33-l>
malononitrile<109-77-3>
manganese<7439-96-5>
mercuric cyanide<592-04-l>
mercuric nitrate<10045-94-0>
mercuric sulfate<7783-35-9>
mercuric thiocyanate<592-85-8>
mercury<7439-97-6>
methane thioK 74-93-1>
raethanol<67-56-l>
raethyacrylonitrile<126-98-7>
methyl chlorocarbonate<79-22-l>
•ethyl chloroform<71-55-6>
methyl ethyl ketone {mek)<7fl-93-3>
methyl ethyl ketone peroxide
   <1338-23-4>
methyl hydrazlne<60-34-4>
methyl lodlde<74-88-4>
methyl Isobutyl ketone<108-10-l>
methyl m«rcaptan<74-93-l>
methyl methacrylate<80-62-6>
raethylthiouracil<56-04-2>
molybdenum and compounds
   <7439-98-7>
monoethylaraine<75-04-7>
monomethylamine<74-89-5>
monuron<150-68-5>
n-butyl alcohol<71-36-3>
n-butyl phthalate<84-74-2>
n-raethyl-n*-nitro-n-nitrosoguanidi
   ne<70-25-7>
n-nitroso-n-ethylurea<759-73-9>
n-nitroso-n-raethylurea<684-93-5>
n-nitroso-n-methylurethane
   <615-53-2>
n-nitrosodl-n-butylamine<924-16-3>
n-nitrosodi-n-propylaraine
   <621-64-7>
n-nitrosodiethanolamine<1116-54-7>
n-nitrosodiethylamine<55-18-5>
n-nitrosodimethylamine<62-7S-9>
                         939

-------
                         Accession No.  7301700904
                  (cent)
n~nitrosodiphenylamine<86-30-6>
n-nitrosopiperidlne<100-75-4>
n-nitrosopyrrolldine<930-55-2>
n-phenylthiourea<103-85-5>
n-propylaffline<107-!0-8>
naphthalene< 91-20-3>
naphthenic acld< 1338-2 4-5>
nickel chloride<7718-54-9>
nickel cyanide<557-19-7>
nickel hydroxide<12054-48-7>
nickel nitrate<13138-45-9>
nickel sulfate<7786-81-4>
nickel<7440-02-0>
nicotine and salts<54-ll-5>
nitric acid<7697-37-2>
nitric oxide<10102-43-9>
nitrobenzene<98-95-3>
nitrogen dioxide<10102~44-0>
nitrogen peroxide<10102-44-0>
nitrogen tetroxide<10544-72-6>
nitrogen<7727-37-9>
nitroglycerine<55-63-0>
nitrosomethylurea<684-93~5>
o-cresol<95-48-7>
o-Bethoxyphenol<90-05-l>
o-toluidine hydrochloride
   <636-21-5>
o-xylene<95-47-6>
octamethyIpyrophosphoramide 
osmium tetroxide<20816-12-0>
ozone<10028-15-6>
p-chloro-m-cresol<59-50-7>
P-chloroaniline<106-47-8>
p-cresol<106-44-5>
p-dichlorobenzene<106-46-7>
p-dimethyl aminoazobenzene<60-ll-7>
p-nitroanlline<100-01-6>
P-xylene<106-42-3>
par aformaldehydeOO 525-89-4>
paraldehyde<123-63-7>
pen tachlorob enzene<6 08-93-5>
pentachloroethane<76-01-7>
pentachloronitrobenzene (PCNB)
   <82-68-8>
pentachlorophenol<87-86-5>
perchloroethylene<127-18-4>
phenacetin<62-44-2>
phenanthrene<85-01r8>
phenol<108-95-2>
phenyl dichloroarslne<696-28-6>
phenylacetic acid<103-82-2>
phenylnercury acetate<62-38-4>
phosgene<75-44-5>
phosphine<7803-51-2>
phosphoric acld<7664-38-2>
phosphorus oxychlorlde<10025-87-3>
phosphorus pentasulfide<1314-80-3>
phosphorus sulfide<1314-80-3>
phosphorus trichloride<7719-12-2>
phosphorus<7723-14-0>
phthalic acld<88-99-3>
phthalic anhydride<85-44-9>
plperonyl butoxide<51-03-6>
potassium arsenate<7784-41-0>
potassium bichromate<7778-50-9>
potasslua chromate<7789-00-6>
potassium cyanide<151-50-8>
potassiun hydroxide<1310-58-3>
potassium permanganate<7722-64-7>
potassiux silver cyanide<506-61-6>
potass!un<7440-09-7>
propionic acid<79-09-4>
propionic anhydrlde<123-62-6>
propionitrile<107-12-0>
proplyene oxide<75-56-9>
propylene oxide<75-56-9>
pyrene<129-00-0>
quinoline<91-22-5>
reserpine<50-55-5>
resorcinol<108-46-3>
s/s/s-tributyl phosphorotrithioate
   <78-48-8>
saccharin<81-07-2>
safrole<94-59-7>
selenious acid<7783-00-8>
selenium oxlde<12640-89-0>
seleniuiu<7782-49-2>
selenourea<630-10-4>
silver cyanide<506-64-9>
silver nitrate<7761-88-8>
silver<7440-22-4>
simazine<122-34-9>
sodium and corapounds<7440-23-5>
sodiun arsenate<7631-89-2>
sodium arsenlte<7784-46-5>
sodium azlde<26628-22-8>
sodium bichroraate<10588-01-9>
sodium bifluoride<1333-83-l>
sodium bisul£ite<7631-90-5>
sodium chroBate<7775-ll-3>
sodium cyanide<143-33-9>
sodiun dodecylbenzenesulfonate
   <2515S-30-0>
                         940

-------
                             Accession No.   7301700904
                  (cent)
    sodium fluoride<7681-49-4>
    sodium fluoroacetate (1080)
       <62-74-8>
    sodium hydrosulfide<16721-80-5>
    sodium hydroxide<1310-73-2>
    sodium hypochlorite<7681-52-9>
    sodium methylate<124-41-4>
    sodium nitrite<7632-00-0>
    sodium phosphate,  dibasic
       <7558-79-4>
    sodium phosphate,  tribasic
       <7601-54-9>
    sodium selenlte<10102-18-8>
    sodium<7440-23-5>
    strontium chromate<7789-06-2>
    strontium sulfide<1314-96-l>
    strychine<57-24-9>
    styrene<100-42-5>
    sulfur dioxide<7446-09-5>
    sulfur raonochloride<10025-67-9>
    sulfuric acid<7664-93-9>
    tetrachloroethene<127-18-4>
    tetrachloroethylene<127-18-4>
    tetrachloromethane<56-23-5>
    tetraethyl lead<78-00-2>
    tetrahydofuran<109-99-9>
    tetranitrooethane<509-14-8>
    thailie oxide<1314-32-5>
    thallium acetate<563-68-8>
    thallium chloride<7791-12-0>
    thallium nitrate<10102-45-l>
    thallium sulfate<7446-18-6>
    thalliuia<7440-28-0>
    thioacetamlde<62-55-5>
    thioseraicarbazide<79-l9-6>
    thiourea<62-56-6>
    thiuram<137-26-8>
    titaniunK7440-32-6>
    toluene dlisocyanate<26471-62-5>
    toluene<108-88-3>
    toluenediamine<25376-45-8>
    tribromomethane<75-25-2>
    tributyl phosphorotrithioate
       <78-48-8>
    trlchloroethene<79-01-6>
trichloroe thy lene<7 9-01 -6>
trichlorofluororaethane<75-69-4>
trichlorophenol 
triethanolamine dodecylbenzenesul
   onate<27323-41-7>
triethylamine<121-44-8>
trimethylamlne<75-50>3>
trinitrobenzane<99-35-4>
tris(2^3*dibromopcopyl)pho3phate
   <126-72-7>
trypan blue<72-57-l>
uranluis<7440-61-l>
uranyl acetate<541-09-3>
uranyl nitrate<10102-06-4>
urethane<51-79-6>
vanadic acid/ ammonium salt
vanadium pentoxide<1314-62-l>
vanadlum<7440-62-2>
vanadyl sulfate<27774-13-6>
vinyl acetate<108-05-4>
vinyl chloride<75-01-4>
vinylidene chloride<75-35-4>
xylene<1330-20-7>
xyl«nol<1300-71-6>
zinc acetate<557-34-6>
zinc borate<1332-07-6>
zinc bronlde<7699-45-8>
zinc carbonate<3486-35-9>
zinc chloride<7646-85-7>
zinc fluoride<7783-49-5>
zinc formate<557-41-5>
zinc hydrosulfite<7779-86-4>
zinc nitrate<7779-88-6>
zinc phenol sulf onate<127-82-2>
zinc phosphlde<1314-84-7>
zinc silicofluoride<16871-71-9>
zinc sulfate<7733-02-0>
zinc<7440-66-6>
zirconium nitrat«<13746-89-9>
zirconium potassium fluoride
   <16923-95-8>
zirconium sulfate
zirconlun tetrachloride
   <10026-ll-6>
(CAS)  CAS registry nunbers of substances Included in data base:  83-32-9
    ; 208-96-8;  75-07-0;  64-19-7;      108-24-7? 75-86-5; 67-64-1;
    75-05-8; 98-86-2; 506-96-7; 75-36-5;      107-02-8; 79-06-1;
    79-10-7; 124-04-9; 107-18-6; 107-05-1; 80-15-9;    122-09-8;
    100-44-7; 71-55-6; 79-34-5; 79-00-5; 79-01-6; 75-34-3;
    75-35-4; 57-14-7; 120-82-1; 95-94-3; 96-12-8; 106-93-4; 95-50-1;
    107-06-2; 78-87-5; 563-54-2; 122-66-7; 57-55-6; 156-60-5; 120-82-1;
                             941

-------
                         Accession No.  7301700904     (cent)

541-73-1; 542-75-6J 504-60-9; 1120^71-4; 110-57-6; 106-46-7;
123-91-1? 130-15-4; 5344-82-1; 106-89-8? 86-88-4; 134-32-7;
75-99-0;       95-95-4; 93-76-5; 93-72-1; 88-06-2; 94-75-7;
120-83-2; 94-75-7;       105-67-9; 51-28-5; 121-14-2; 541-53-7;
87-65-0; 606-20-2; 1338-23-4;       110-75-8; 91-58-7; 95-57*8;
640-19-7; 80-62-6; 75-55-8; 75-86-5;      91-59-8; 88-75-5;
79-46-9; 109-06-8; 107-19-7; 88-85-7; 91-94-1;      119-90-4;
56-49-5; 72-55-9; 50-29-3; 101-14-4; 534-52-1; 504-24-5;
101-55-3; 3165-93-3; 7005-72-3; 100-02-7; 2763-96-4; 99-55-8;
39196-18-4; 20859-73-8; 10043-01-3; 7429-90-5; 61-82-S; 7664-41-7;
631-61-8; 1863-63-4; 1066-33-7; 7789-09-5; 1341-49-7; 10192-30-0;
1111-78-0; 506-87-6; 12125-02-9; 7788-98-9; 7632-50-0; 13826-83-0;
12125-01-8; 1336-21-6; 1113-38-8; 131-74-8; 16919-19-0; 7773-06-0;
12135-76-1; 10196-04-0; 3164-29-2; 1762-95-4; 7783-18-8; 628-63-7;
62-53-3; 120-12-7; 7647-18-9; 11071-15-1; 10025-91-9; 7783-56-4;
1309-64-4; 7440-36-0; 1327-52-2; 1303-28-2; 7784-34-1; 1327-53-3;
1303-33-9; 7440-38-2; 1332-21-4; 1912-24-9; 2465-27-2; 542-62-1;
7440-39-3; 17804-35-2; 98-87-3; 71-43-2; 98-09-9; 108-98-5;
92-87-5;       56-55-3; 50-32-8; 65-85-0; 100-47-0; 98-07-7;
98-88-4; 100-44-7;      7787-47-5; 7787-49-7; 13597-99-4;
7440-41-7; 58-89-9; 319-84-6;       319-85-7; 319-86-8; 92-52-4;
111-91-1; 111-44-4; 39638-32-9;     117-81-7; 542-88-1; 7440-69-9;
7440-42-8; 7726-95-6? 108-86-1;   75-27-4; 74-83-9; 357-57-3;
123-86-4; 85-68-7; 109-73-9; 107-92-6;    75-60-5; 543-90-8;
7789-42-6; 7440-43-9; 7778-44-1; 75-20-7;     13765-19-0; 592-01-8;
26264-06-2; 1305-62-0; 7778-54-3; 1305-78-8;    133-06-2; 63-25-2;
75-15-0; 630-08-0; 56-23-5; 353-50-4; 75-87-6;     118-75-2;
7782-50-5; 107-20-0; 108-90-7; 510-15-6; 124-48-1; 75-00-3;
75-01-4; 110-75-8; 67-66-3; 74-87^3; 107-30-2; 126-99-8; 7790-94-5;
1066-30-4; 7738-94-5; 10101-53-8; 7440-47-3; 218-01-9; 156-59-2;
8007-45-2; 7440-48-4; 544-18-3; 544-92-3; 8021-39-4; 1319-77-3;
1319-77-3; 4170-30-3; 98-82-8; 142-71-2; 7447-39-4; 3251-23-8;
814-91-5; 7758-98-7; 815-82-7; 57-12-5; 506-68-3; 506-77-4;
460-19-5;      110-82-7; 108-94-1; 55-91-4; 84-74-2; 117-84-0;
621-64-7; 333-41-5;   53-70-3; 132-64-9; 124-48-1; 74-95-3;
84-74-2; 117-80-6; 75-27-4;     75-71-8; 75-09-2; 696-28-6;
78-87-5; 542-75-6; 62-73-7? 1464-53-5;    84-66-2; 109-89-7;
94-58-6; 60-51-5; 131-11-3; 77-78-1; 124-40-3;     79-44-7;
62-75-9; 25321-14-6; 123-91-1? 828-00-2; 142-84-7; 330-54-1;
27176-87-0; 60-00-4; 106-89-8; 141-78-6; 140-88-5; 75-00-3;
60-29-7;       97-63-2; 62-50-0; 100-41-4; 107-12-0; 106-93-4;
107-06-2; 75-21-8;    96-45-7; 107-15-3; 151-56-4; 1185-57-5;
14221-47-7; 7705-08-0;   7783-50-8; 10421-48-4; 10028-22-5;
10045-89-3; 7758-94-3; 7720-78-7;       206-44-0; 86-73-7;
7782-41-4; 75-69-4; 50-00-0? 64-18-6; 110-17-8;    110-00-9?
98-01-1? 118-74-1; 87-68-3; 58-89-9? 77-47-4; 67-72-1;
70-30-4; 1888-71-7; 302-01-2; 7647-01-0; 74-90-8; 7664-39-3;
74-90-8;      7783-06-4; 75-60-5; 193-39-5? 74-88-4; 7439-89-6;
78-83-1; 624-83-9;       78-59-1; 78-79-5; 120-58-1? 301-04-2;
7758-95-4; 7783-46-2;      13814-96-5? 10101-63-0; 10099-74-8;
7446-27-7; 1072-35-1; 1335-32-6;       7446-14-2; 1314-87-0;
592-87-0; 7439-92-1; 58-89-9; 7439-93-2;   14307-35-8; 108-39-4;


                         942

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                             Accession No.   7301700904     (cont)

    108-38-3;  110-16-7;  108-31-6;  123-33-1;     109-77-3;  7439-96-5;
    592-04-1;  10045-94-0;  7783-35-9;  592-85-8;        7439-97-6;
    74-93-1;  67-56-1*  126-98-7;  79-22-1; 71-55-6;  78-93-3;
    1338-23-4; 60-34-4;  74-88-4; 108-10-1; 74-93-1;  80-62-6;  56-04-2;
    7439-98-7; 75-04-7;  74-89-5; 150-68-5; 71-36-3;  84-74-2;  70-25-7;
    759-73-9;  684-93-5;  615-53-2;  924-16-3;  621-64-7; 1116-54-7;
    55-18-5;       62-75-9; 86-30-6;  100-75-4;  930-55-2;  103-85-5;
    107-10-8;  91-20-3;     1338-24-5;  7718-54-9; 557-19-7; 12054-48-7;
    13138-45-9; 7786-81-4;    7440-02-0; 54-11-5;  7697-37-2;
    10102-43-9; 98-95-3; 10102-44-0;       10102-44-0; 10544-72-6;
    7727-37-9; 55-63-0;  684-93-5;  95-48-7;    90-05-1; 636-21-5;
    95-47-6;  152-16-9; 20816-12-0; 10028-15-6;     59-50-7;  106-47-8;
    106-44-5;  106-46-7;  60-11-7; 100-01-6; 106-42-3;   30525-89-4;
    123-63-7;  608-93-5;  76-01-7; 82-68-8; 87-86-5; 127-18-4;
    62-44-2;  85-01-8;  108-95-2;  696-28-6; 103-82-2;  €2-38-4;  75-44-5;
    7803-51-2; 7664-38-2;  10025-87-3; 1314-80-3; 1314-80-3; 7719-12-2;
    7723-14-0; 88-99-3;  85-44-9; 51-03-6; 7784-41-0; 7778-50-9;
    7789-00-6; 151-50-8; 1310-58-3;  7722-64-7;  506-61-6;  7440-09-7;
    79-09-4;  123-62-6; 107-12-0; 75-56-9; 75-56-9; 129-00-0;  91-22-5;
    50-55-5;  108-46-3; 78-48-8;  81-07-2; 94-59-7;  7783-00-8;
    12640-89-0;       7782-49-2; 630-10-4; 506-64-9; 7761-88-8;
    7440-22-4; 122-34-9;   7440-23-5; 7631-89-2; 7784-46-5; 26628-22-8;
    10588-01-9; 1333-83-1;   7631-90-5; 7775-11-3; 143-33-9;
    25155-30-0; 7681-49-4; 62-74-8;        16721-80-5; 1310-73-2;
    7681-52-9; 124-41-4; 7632-00-0;  7558-79-4;      7601-54-9;
    10102-18-8; 7440-23-5; 7789-06-2; 1314-96-1; 57-24-9;
    100-42-5;  7446-09-5; 10025-67^9;  7664-93-9; 127-18-4; 127-18-4;
    56-23-5;  78-00-2;  109-99-9;  509-14-8; 1314-32-5; 563-68-8;
    7791-12-0;      10102-45-1;  7446-18-6; 7440-28-0; 62-55-5; 79-19-6;
    62-56-6;      137-26-8; 7440-32-6; 26471-62-5;  108-88-3; 25376-45-8;
    75-25-2;        78-48-8; 79-01-6;  79-01-6;  75-69-4; 25167-82-2;
    27323-41-7; 121-44-8;       75-50-3; 99-35-4; 126-72-7;  72-57-1;
    7440-61-1; 541-09-3; 10102-06-4;       51-79-6; 11115-67^6;
    1314-62-1; 7440-62-2;  27774-13-6; 108-05-4;      75-01-4; 75-35-4;
    1330-20-7; 1300-71-6;  557-34-6;  1332-07-6;      7699-45-8;
    3486-35-9; 7646-85-7;  7783-49-5;  557-41-5;  7779-86-4;
    7779-88-6; 127-82-2; 1314-84-7;  16871-71-9; 7733-02-0;  7440-66-6;
    13746-89-9; 16923-95-8; 14644-61-2; 10026-11-6
(CNM)  Contact narae(s):  Nowak/G.
(ROR)  Responsible Organization: Office of Pesticides and Toxic
    Substances.Office of Toxic Substances.Management Suppo
                             943

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                             Accession No.   7301700905


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                             Accession No.   7301700905     (cont)

(ABY)  Data analyzed by:  Contractor
    EPA headquarters Office of Toxic Substances Data base identifies
    specific document references.
(AOT)  Authorization for  data collection;  Statutory authorization  is
    P.L. 94-469 Section 10
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base: Unpublished
    reports - to be established*    j     Printouts on request
    On-line computer
(OSR)  current regular users of data base:  EPA headquarter offices
    Office of Toxic Substances
(CNF)  Confidentiality of data and Units on access: Limits on access
    uitMn EPA and outside agency for all  data
(DLC)  Primary physical location of data:  Contractor
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software:  unknown at this tine
(CHG)  Direct charge for  non-EPA use: No outside use/access permitted.
(UPDT)  Frequency of data base Master file up-date: Other-Unknown  at
    this time.
(CMP)  Completion of form:
    Paula Miles
    OFC: EPA/OPTS/OTS/MSD
    AD: 401 M Street, S.V., Washington, D.C. 20460
    PH: (202) 755-8963
(DF)  Date of form completion: 12-10-62
(NMAT)  Number of substances represented in data base: 55
(tfCAS)  Number of CAS registry numbers In data base: 52
(MAT)  Substances represented in data base:
    1,lsl-trichloroethane<71-55-         chlorinated naphthalenes
       6>                                chloroethane<75-00-3>
    1,1,2, 2-tetrachloroethane<79-34-5>   chlorof luorocarbons
    l,l,2-trichloroethene<79-01-6>       chloroform<67-66-3>
    l,l-dichloroethane<75-34-3>          chloronethane<74-87-3>
    1, 2-dibromoethane<106-93-4>          chloroprene<126-99-8>
    l,2-dichlorobenzene<95-50-l>         chromium<7440-47-3>
    l,2-dichloroethane<107-06-2>         dichioroaethane<75-09-2>
    l,2-dichloropropane<78-87-5>         dioxirK828-00-2>
    If3-dichlorobenzene<541-73-l>        ethylbenzene<100-41-4>
    lf4-dichlorobenzene<106-46-7>        forraaldehyde<50-00-0>
    2,4-dlnitrotoluene<121-14-2>         hexachlorobenzene<118-74-l>
    2-nitropropane<79-46-9>              hexachlorobutadiene<87-68-3>
    acetaldehyde<75-07-0>                hexachlorocyclopentadlene<77-47-4>
    acrolein<107-02-8>                   hexacloroethane
    acrylonitrile              isophorone<78-59-l>
    antiinony<7440-36-0>                  lead<7439-92-l>
    arsenic<7440-38-2>                   m-cresol<108-39-4>
    asbestos<1332-21-4>                  n-xylene<108-38~3>
    benzene<71-43-2>                     naleic anhydride<108-31-6>
    benzidine<92-87-5>                   mercury<7439-97-6>
    benzyl chloride<100-44-7>            methyl iodide<74-88-4>
    cadeium<7440-43-9>                   nitrobenzene<98-95-3>


                             945

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                             Accession No.  7301700905     (cont)

    o-cresol<95-48-7>                    polychlorinated blphenyls (PCBs)
    o-xylene<95-47-6>                       <1336-36-3>
    p-cresol                   toluene<108-88-3>
    p-xylene<106-42-3>                   trichloroethane<25323-89-l>
    phosgene<75-44-5>                    vinylidene chloride<75-35-4>
    polybrowinated biphenyls (PBBs)
(CAS)  CAS registry numbers of substances included in data base:  71-55-6
    ; 79-34-5; 79-01-6; 75-34-3; 106-93-4;      95-50-1; 107-06-2;
    78-67-5;  541-73-1; 106-46-7; 121-14-2; 79-46-9;    75-07-0;
    107-02-8; 107-13-1; 7440-36-0; 7440-38-2; 1332-21-4;    71-43-2;
    92-87-5;  100-44-7; 7440-43-9; 75-00-3; 67-66-3; 74-87-3;
    126-99-8; 7440-47-3; 75-09-2; 828-00-2; 100-41-4; 50-00-0;
    118-74-1;       87-68-3; 77-47-4; 78-59-1; 7439-92-1; 108-39-4;
    108-38-3; 108-31-6;   7439-97*6; 74-88-4; 98-95-3; 95-48-7;
    95-47-6;  106-44-5; 106-42-3;    75-44-5; 1336-36-3; 108-88-3;
    25323-89-1; 75-35-4
(CNM)  Contact narae(s): Miles,?.  ;    Miles,P.  ;    Miles,?.
(ROR)  Responsible Organization: Office of Pesticides and Toxic
    Substances.Offlee of Toxic Substances.Management Suppo
                             946

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                             Accession No.   7407000517

(DQ)  Date of Questionaire:  12-02-82
CHAN)  Name of Data Base of  Model:  Stability Array  Data File
(ACR)  Acronym of Data Base  or Model:  STAR
CMED)  Media/Subject of Data Base or Model:  Air
(ABS)  Abstract/Over view of  Data Base  or Model: The STAR data files
    contain oeterological data    for  394 first order weather stations
    in the continental OS.   STAR     data consists  of frequencies  of
    Hind direction by Hind speed classes for each  of up to seven
    atnospheric stability categories*   Mind   directions are given  for
    16 sectors corresponding to compass points   and there are 6 wind
    speed categories.  The data are vailable as annual  average
    frequencies based on at  least five consecutive  years  of data.
(CTC)  CONTACTS:  Subject matter  Loren Hall  (202) 382-3931  ;
    Computer-related  Loren  Hall (202) 382-3931  ;   EPA Office WillIan
    Hood - OTS  (202) 382-3928
(DTP)  Type of data collection or monitoring: Ambient
(STA)  Data Base status: Presently Operational/Ongoing
(NPP)  Non-pollutant parameters included in  the data base: Hind
    direction ; wind velocity
(INF)  Data base includes: Aggregate  or summary observations
(GEQ)  Geographic coverage of data base: National
(LOO  Data elements identifying location of station or source include:
    Latitude and longitude
(DPR)  Data collect./anal, procedures  conform to GRD guidelines: NO
(AND  Lab analysis based on EPA-approved or accepted methods? NO
(AUD)  Lab Audit: N/A: data  not based  on laboratory analysis
(PRE)  Precision: None available
(EOT)  Edittlng:  No known edits
(CBY)  Data collected by: Other- National A  Heather Service
(ABY)  Data analyzed by: Other- National Climatic Center
(IDL)  Laboratory identification: NO
(AUT)  Authorization for data collection: NO
(OMB)  Data collected/submitted using OMB-approved  EPA  reporting forms:
    NO
(REP)  Form of available reports and  outputs of data base: On-line
    computer terminal
(NUS)  Number of regular users of data base: 10-15
(USR)  Current regular users of data base: EPA Headquarters Offices,
    Office of Toxic    Substances/ OPRM
(CNF)  Confidentiality of data and limits on access: None
(DLC)  Primary physical location of data: NCC/RTP
(DST)  Form of data storage: Magnetic  disc
(DAC)  Type of data access:  EPA Software System: System Name- OTS
    Graphical   Exposure Modeling System, Hardware- VAX 11/780
(CHG)  Direct -charge for non-EPA use:  No outside use/access permitted
(OPDT)  Frequency of data base master  file up-date: None
(RSS)  Related EPA automated systems  which use data base: Related  EPA
    Systems: ATM/SCCPOP (model)
(RDBEPA)  Related EPA data bases used in conjunction with this data  base
    None
(ROB)  Non-EPA data bases used in conjunction with  this data  base: None
(CMP)  Completion of form: # William  p. Hoodg  OFC: OPTS/OTS/EED#  AD:


                             947

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                             Accession Ho.   7407000517      (cont)

    EPA/ Headquarters*   PH: (202) 382-3928*
(DF)  Date of form completion:  01-25-83
(CNM)  Contact narae(s):  Hall,U  ;  Hall,L.   ;   Uood,V.
(COR)  Contact organization: OTS
(ROR)  Responsible Organization: Office of  Pesticides and Toxic
    Substances.Office of Toxic  Substances.Exposure Evaluat
                             948

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                             Accession No.   7407000518

(DQ)  Date of Questionaire:  12-02-82
(NAN)  Name of Data Base of  Model: 1977 Economic Census
(ACR)  Acronym of Data Base  or Model:  Rone
(MED)  Media/Subject of Data Base or Model:  N/A data not related  to
    specific media: Economic Data
(ABS)  Abstract/overview of  Data Base or Model: Data Base has 4
    components: (1) Census of    manufacturers (geographic area series/
    industry series, location of   manufacturing plants, fuels and
    electricity consumed 1977 and 1978),  (2)  Census of Wholesale Trade
    (geographic area series), (3) Census    of Selected Service
    industries, (4) Census of Transportation (commodity
    transportation survey and truck inventory  and use survey)*
(CTC)  CONTACTS:  Subject matter  Loren Hall 382-3931  ;  Computer-
    related  Loren Hall 382-3931  ;  EPA Office  William P. Hood,
    Office  of Toxic Substances  382-3928
(STA)  Data Base status: Presently Operational/Ongoing
(NPP)  Non-pollutant parameters included in the data base: Cost or
    economic data > Information includes number of industries or
    establishments by SIC code/ number of    employees and their  uagej,
    number of production workers, receipts      or value added by
    manufacturer for 1977.
(DS)  Time period covered by data base: Single date: 1977
(TRM)  Termination of data collections Not  applicable
(FRQ)  Frequency of data collection or sampling: Every 5 years
(INF)  Data base includes: Aggregate or summary observations
(GEO)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or source include:
    State ; county } smsa (standard metropolitan statistical area)  ;
    city
(FAC)  Data elements identifying facility include: SIC code
(LIH)  Limitation/variation  in data of which user should be auare:  The
    location of manufacturing plants is as    lightly misleading name,
    since the file only provides the number of establishments in  7
    employee size categories.
(DPR)  Data collect./anal, procedures conform to ORD guidelines:  No,
    but other documentation  available for each    of the following:
    collection method
(ARL)  Lab analysis based on EPA-approved or accepted methods? NO
(ADD)  Lab Audit: N/A: data  not based on laboratory analysis
(PRE)  Precision: None available
(EOT)  Editting: No known edits
(CBY)  Data collected by: Other- Bureau of  Census
(ABY)  Data analyzed by: Other- Bureau of Census
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Trend assessment
(PR2)  Secondary purpose of  data collection: None
(AUT)  Authorization for data collection: NO
(OMB)  Data collected/submitted using OMB-approved EPA reporting  forms:
    NO
(REP)  Form of available reports and outputs of data base: On-line
    computer terminal
(NOS)  Number of regular users of data base: 10-15


                             949

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                             Accession No.   7407000518     (cont)

(OSR)  Current regular users of data base:  EPA Headquarters Offlees*
    Office of toxic Substances
(CNF)  Confidentiality of data and limits on access: None
(DLC)  Primary physical location of data: NCC/RTP
(DST)  Form of data storage: Magnetic Disc
(DAC)  Type of data access: EPA Software System: System Name- QTS
    Graphical   Exposure Modeling System (GEMS),  Hardware- VAX 11/780
(CHG)  Direct charge for non-EPA use: No outside use/access permitted
(OPDT)  Frequency of data base master file  up-date: 5 years
(RSS)  Belated EPA automated systems which  use data base: None
(ROBSPA)  Related EPA data bases used In conjunction with this data base
    None
(RDB)  Non-EPA data bases used in conjunction with this data base;  None
(CMP)  Completion of form: f William P. Wood*  OFC: OPTS/OTS/EED#  AD:
    EPA/ Headquarters!   PH; (202) 382-3928f
(OF)  Date of form completion: 01-20-83
(CNM)  Contact narae(s): Hall,L.  ;  Hall,L.  ;  Wood,V.P.
(COR)  Contact organization: Office of Toxic Substances
(ROR)  Responsible Organization: Office of  Pesticides and Toxic
    Substances.Office of Toxic Substances*Exposure Evaluat
                             950

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                             Accession No.   7407000519

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Karae of Data Base of  Hodeli  Geoecology
(ACR)  Acronym of Data Base  or Models  None
CHED)  Kedia/Subject of Data Base or Models  Air *  Soil i  Surface Water
    I Other- terrain/ wildlife, climate
(ABS)  Abstract/Overview of  Data Base  or Model" Data Base contains
    county level data on a variety of  environmental parameters.
    Categories include agriculture, climate,     vegetation,  forestry,
    air quality, terrain, wildlife (endangered species)*   Each of these
    contains files of interest in the  exposure   assessment process.
    For example the agricultural files contain area  under cultivation
    and yield statistics for a variety of commercially  important crops
    from 1978 Census of Agriculture.
(CTC)  CONTACTS: Subject matter  Loren Hall  (202)  382-3931  ?
    Computer-related  Loren  Hall (202) 382-3931  }  EPA Office  William
    P. Mood, Office of Toxic Substances  (202) 382-3928
(DTP)  Type of data collection or monitoring: Combinations and other!
    county level
(STA)  Data Base status: Presently Operational/Ongoing
(NPP)  Non-pollutant parameters included in  the data base: Geographic
    subdivisions: county ; precipitation ;  temperature ;  Climatic
    variables include annual average and monthly   maximum and minimum
    temperature and monthly  precipitation and potential
    evapotranspiration.  Soil types by county with some physical and
    chemical properties for  general soil classes.
CDS)  Time period covered by data base: 1940 TO 1980
(TRM)  Termination of data collection: Not anticipated
(F8Q)  Frequency of data collection or sampling: Ongoing: as  needed
(IMF)  Data base includes: Aggregate or summary observations
(GBQ)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source include:
    County
(DPR)  Data collect,/anal, procedures  conform to ORD guidelines: No,
    but other documentation  available  for each    of the following:
    collection method
(ANL)  Lab analysis based on EPA-approved or accepted methods? NO
(ADD)  Lab Audit: N/A: data  not based  on laboratory analysis
(PRS)  Precision; None available
(EDT)  Editting: No known edits
(CBY)  Data collected by: Department of Energy
(ABY)  Data analyzed by: Department of Energy
(IDL)  Laboratory identification: NO
(PRl)  Primary purpose of data collection: Exposure Assessment
(PR2)  Secondary purpose of  data collection: None
(AUT)  Authorization for data collection: NO
(OMB)  Data collected/submitted using  OMB-approved EPA reporting forms:
    NO
(REP)  Form of available reports and outputs of data base: On-line
    computer terminal
(NUS)  Number of regular users of data base: 10-15
(USR)  Current regular users of data base:  EPA Headquarters Office,
    Office of Toxic Substances


                             951

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                             Accession No.   7407000519     (cont)

(CNF)  Confidentiality of data and Units on access:  None
(DLC)  Primary physical location of data: NCC/RTP
(DST)  Form of data storage: Magnetic Disc
(DAC)  type of data access:  EPA Software System:  System Name- OTS
    Graphical   Exposure Modeling System (GEMS),   Hardware- VAX 11/780
(CHG)  Direct charge for non~EPA use: No outside  use/access permitted
(RSS)  Related EPA automated systems which use data base: None
(RDBEPA)  Related BPi data bases used in conjunction Kith this data base
    None
(ROB)  Non-EPA data bases used in conjunction with this data base:  None
(CMP)  Completion of form: # William P. Hood#  OFC: OPTS/OTS/EED#   AD:
    EPA/ Headquarters^   PH: (202) 382-3928*
(DF)  Date of form completion: 01-20-83
(CNM)  Contact name(s): Hall,L.  ;  Hall,L.  ; Wood/H.P.
(COR)  Contact organization: Office of Toxic Substances
(RQR)  Responsible Organization: Office of Pesticides and Toxic
    Substances.Office of Toxic Substances*Exposure Evaluat
                             952

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                             Accession No.   7407000520

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model:  Master Area Reference File of  the
    1980 Census
(ACR)  Acronym of Data Base or Model: HARF
(NED)  Media/Subject of Data Base or Model:  N/A data not related  to
    specific media. Population Data
(ABS)  Abstract/Overview of Data Base or Model: The complete corrected
    MARF of 1980 Census with   geographic coordinates for small
    geographic areas.  The file has a variety of location
    identification, information, including  region,  state, county,
    place, census tracts, and enumeration districts or     block
    groups, population country races, number of occupied and   ouner
    occupied housing units, and number of families for all the
    enumeration districts/block groups.
(CTC)  CONTACTS: Subject matter  Loren Hall (202) 382-3931  j
    Computer-related  Loren Hall (202) 382-3931  ;  EPA Office William
    Hood - OTS (202) 382-3928
(STA)  Data Base status: Presently Operational/Ongoing
(NPP)  Non-pollutant parameters included in the data base: Geographic
    subdivisions / population demographics  }    population density
(DS)  Time period covered by data base: Single date: 1980
(TRM)  Termination of data collection: Sot  applicable
(FRQ)  Frequency of data collection or sampling: 10 year Census
(INF)  Data base includes: Aggregate or summary observations
(GEQ)  Geographic coverage of data base: National
(LOC)  Data elements identifying location of station or source include:
    State ; county ; congressional district ; snjsa(   standard
    metropolitan statistical area) ; city ; town/township } latitude
    and longitude
(FAC)  Data elements identifying facility includes Not applicable
(DPR)  Data collect./anal, procedures conform to ORD guidelines:  No,
    but other documentation available for each    of the following:
    Analysis method
(ANL)  Lab analysis based on EPA-approved or accepted methods? NO
(AUD)  Lab Audit: N/A: data not based on laboratory analysis
(PRE)  Precision: None available
(EOT)  Editting; YES, documented edits
(CBY)  Data collected by: Other- Census Bureau
(ABY)  Data analyzed by: Other- Contractor, Donnelly Marketing Inc.
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Risk assessment
(PR2)  Secondary purpose of data collection: Trend assessment
(AUT)  Authorization for data collection: YES, citation: NON-EPA
(OMB)  Data collected/submitted using OMB-approved EPA reporting  forms:
    NO
(REP)  Form of available reports and outputs of data base: On-line
    computer terminal
(NUS)  Number of regular users of data base: 10-15
(DSR)  Current regular users of data base:  EPA Headquarters Offices,
    Office of Toxic    Substances, ORP, OPRM, OAQPS
(CNF)  Confidentiality of data and limits on access: Some data
    confidential, limits on access outside   the agency


                             953

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                             Accession No.   7407000520      (cent)

COLO  Primary physical location of data:  NCC/RTP

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                             Accession No.   8213000513

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Kame of Data Base of Model: Whole-Body Count and Bioassay
(ACR)  Acronym of Data Base or Model: NBC
(MED)  Media/Subject of Data Base or Model:  Tissue: Human whole body,
    urine
(ABS)  Abstract/overview of Data Base or Model:  Ingested and inhaled
    radionnclides and humans,    radiation  workers and general public,
    relative to Nevada Test Site    operations and laboratory
    activities*  Data collected since 1963  Is   being prepared for
    entry into computer data base.  Data is from  reports, internal
    memoranda, monitoring logs, and raw data stored     in various
    formats on hard copy, paper tape, magnetic tape, and disk.
(CTC)  CONTACTS: Subject natter  Director,  Nuclear Radiation
    Assessment Division  545-2305  ;  Computer-related  Anita A. Mullen
    545-2650  ;  EPA Office  Charles F. Costa; Dir., Nuclear Radiation
    Assessment Div-, EMSL-LV  545-2305
(DTP)  Type of data collection or monitoring: Combinations and other:
    Whole-body counting for   gamma and X rays, urine analysis for
    tritium
(STA)  Data Base status: Presently Operational/Ongoing
(GRP)  Croups of substances represented in  Data Base: Other- CS-137,
    K-40, 1-131, 1-133, 1-135, W-187,  PO-238, PU-239, H-3, and other
    miscellaneous gamma-emitting radionnclides detected in humans.
(WPP)  Non-pollutant parameters included in the data base: Biological
    data ; concentration measures ;   expousre data ; location /
    physical data > political subdivisions  ;   sampling date ;
    volume/mass measures ; subject name, address and social security
    number
(DS)  Time period covered by data base: 06-63 TO 12-82
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: Ongoing: semi-annually
    > ongoing: annually / ongoing: as needed
(NOB)  Number of observations in data base: 8000(Estimated to date)
(NEI)  Estimated annual increase of observations in data base: 800
(INF)  Data base includes: Raw data/observations ; Other- Software for
    data  summary under development
(NTS)  Total number of stations or sources  covered in data base: 44
(NCS)  Ko. stations or sources currently originating/contributing data:
    37
(NOF)  Number of facilities covered in data base (source monitoring):  2
(6EO)  Geographic coverage of data base: Geographic Region: Nevada,
    Utah, California
(LOG)  Gata elements identifying location of station or source include:
    State ; town/township } street address  ;     Name, social security
    number
(FAC)  Data elements identifying facility include: Other
(CDE)  Pollutant identification data are: Oncoded
(LIM)  Limitation/variation in data of which user should be aware: Past
    data not yet entered into data base,    specific data are personal
    and private until released by subject(s)   for use by other
    organizations.
(DpR)  Data collect./anal, procedures conform to ORD guidelines: NO,


                             955

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                             Accession No.   8213000513     (cent)

    but other documentation available for each    of the following:
    sampling plan, collection method, and analysis method
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: YES, urine ; N/A: data not based on laboratory
    analysis- whole body count
(PRE)  Precision; Not included in data base, precision and accuracy
    measurements available from other sources
(EOT)  Editting; YES, undocumented
(CBY)  Data collected by: EPA Lab- Environmental Monitoring Systems
    Laboratory, Las Vegas, NV ; other Federal Agency- US Public Health
    Service, Las Begas, NV
(ABY)  Data analyzed by: EPA Lab: E-M-S-L-,  Las Vegas, NV ; other
    Federal  Agency: OS P-H-S- Las Vegas NV
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection: Risk Assessment
(PR2)  Secondary purpose of data collection: Other- Historical trends
(AGT)  Authorization for data collection: NO, data collection is part
    of the total radiation     safety program further Nevada test  Site
    and the EMSL-LV.
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    No
(REP)  Form of available reports and outputs of data base: Publications:
    Offsite Environmental Monitoring    Report for Nevada Test Site
    published annually.  Occasional Journal    articles on specific
    aspects. ; Printouts on request ; machine-readable    raw data,
    current only
(BUS)  Number of regular users of data base: 3
(USR)  Current regular users of data base: EPA Laboratories ; other
    Federal Agencies ;  Other-    EG&G
(CNF)  Confidentiality of data and limits on access: All data
    confidential, limits on access both within EPA and outside the
    agency
(DLC)  Primary physical location of data: EPA Lab
(DST)  Form of data storage: Presently, portions of data are A, 8  &  D
(DAC)  Type of data access: Commercially available software for recent
    data   System Name- MIDAS , Hardware- Nuclear Data 6620
(CHG)  Direct charge for non-EPA use: NO
(UPDT)  Frequency of data base master file up-date: Monthly
(RSS)  Related EPA automated systems which use data base: None
(RDBEPA)  Related EPA data bases used in conjunction with this data  base
    Related EPA data bases; Historical Dosimetry (film badge),
    Thermoluminescent Dosimitry
(RDB)  Non-EPA data bases used in conjunction with this data base: None
(CMP)  Completion of form: £ A. A. Mullen*     QFC:
    EPA/ORD/OMTS/EMSL-LV#    AD: P.O. Box 15027, Las vegas, NV  89114ft
    PH: (702) 798-2650U
(DF)  Date of form completion: 12-13-82
(NMAT)  Number of substances represented in  data base: 9
(NCAS)  Number of CAS registry numbers in data base: 0
                             956

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                             Accession No.   8213000513     Ccont)

(HAT)  Substances represented In data base:
    CS-137                               W-187
    K-40                                 PU-238
    1-131                                PU-239
    1-133                                H-3
    1-135
(CNM)  contact naoe(s):  Nullen,A-A.   ;  Costa,C.F
(COR)  Contact organization:  Nuclear Radiation Assessaent Division,
    EMSL-LV
(ROR)  Responsible Organization: Office of  Research and
    Development.Offlee of Monitoring Systems and Quality Assurance
                             957

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                             Accession No.   8213000514

(DQ)  Date of Questionaire: 12-02-82
(NAH)  Kane of Data Base of Model: Pressurized Ion Chamber
(ACR)  Acronym of Data Base or Model: PIC
(MED)  Media/Subject of Data Base or Model:  Emissions:  Radioactives >
    Measure external gamma  -ray dose
(ABS)  Abstract/overview of Data Base or Model:  Environmental radiation
    data collected since 1/82 in the Nevand  Test Site Offsite area
    California, Nevada and Dtah, data base contains measurements of
    external gamraa-ray exposure  at 15 stations*
(CTC)  CONTACTS: Subject matter  Director, Nuclear Radiation
    Assessment Division 545-2305  ;  Computer-related  Robert G. Patzer
    545-2324  %  EPA Office  Charles F. Costa; Dir. Nuclear Radiation
    Assessment Div., EHSL-LV  545-2305
(DTP)  Type of data collection or monitoring: Combinations and other:
    Ambient radiation,   natural and man-made
(STA)  Data Base status; Presently Operational/Ongoing
(GRP)  Croups of substances represented in Data Base: Other- Externaly
    gamma-ray exposure
(NPP)  Non-pollutant parameters included in  the data base: Collection
    method or instrument ; elevation ?     exposure data ; location ;
    political subdivisions ; sampling date
CDS)  Time period covered by data base: 01-82 TO 12-82
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: Ongoing: less than
    hourly: maximum, minimum  and average every 5 minutes
(NOB)  Number of observations in data base:  2,300,000(Estiraated to
    date)
(NED  Estimated annual increase of observations in data base: 2,300,000
(INF)  Data base includes: Ran data/observations ; aggregate or summary
    observations
(NTS)  Total number of stations or sources covered in data base: 15
(NCS)  No. stations or sources currently originating/contributing data:
    15
(SQF)  Number of facilities covered in data  base (source monitoring):  1
(GEO)  Geographic coverage of data base: Geographic region: Nevada,
    Utah, and California
(LOC)  Data elements identifying location of station or source include:
    State r town/township ; street address
(FAC)  Data elements identifying facility include: Not applicable
(CDE)  Pollutant identification data are: Uncoded
(DPR)  Data collect./anal, procedures conform to ORD guidelines: No,
    but other documentation avlilable for each    of the following:
    sampling plan, collection method, analysis method,
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: N/A: data not based on laboratory analysis
(PRE)  Precision: YES, for all measurements
(EOT)  Editting: YES, undocumented
(CBY)  Data collected by: EPA Lab, EHSL-LV
(ABY)  Data analyzed by: EPA Lab, EHSL-LV
(IDL)  Laboratory Identification: YES
(PR1)  Primary purpose of data collection: Trend assessment
(PR2)  Secondary purpose of data collection: Special study


                             958

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                             Accession No.   8213000514     (cent)

(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    No
(REP)  Fora of available reports and outputs of data base:  Publications:
    Offsite Environmental Monitoring    Report for the Nevada test
    Site, published annually ; Machine-   readable ray data
(NOS)  Number of regular users of data base: 2
(USR)  Current regular users of data base:  EPA laboratories,  EMSL-LV  ;
    other Federal    Agencies, DOE
(CNF)  Confidentiality of data and limits on access: Some data
    confidential, limits on assess     outside the agency
(DLC)  Primary physical location of data: EPA Lab
(DST)  Fora of data storage: Magnetic Disc
(DAC)  Type of data access: EPA Software System:  System Name- CDC 6400,
    Hardware- EPA
(CHG)  Direct charge for non-EPA use: NO
(UPDT)  Frequency of data base naster file  up-date: Monthly
(RSS)  Related EPA automated systems which  use data base: None
(RDBEPA)  Related EPA data bases used In conjunction with this data base
    Environmental Monitoring Systems Laboratory-  Las Vegas Historical
    Dosime try (film badge), Thermoluminescent   dosimetry
  Costa,C.F.
(COR)  Contact organization: Nuclear Radiation Assessment Division
    EMSL-LV
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Monitoring Systems and  Quality Assurance
                             959

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                             Accession No.   8213000515

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Contract Laboratory Program Quality
    Assurance
(ACR)  Acronym of Data Base or Model:  CLPQA
(MED)  Media/Subject of Data Base or Model: Runoff:  near Hazardous
    Haste Sites ; sediment }   soil >  solid waste ;  surface Mater:  near
    Hazardous Waste Sites
(ABS)  Abstract/Overview of Data Base or Model:  Quality Assurance data
    base for Superfund    contract  Laboratory Program,  QA/QC
    parameters for both organic  and inorganic samples collected  at
    hazardous waste sites and     analyzed  under Contract Laboratory
    Program.  Current contents    include surrogate  and matrix spike
    data as a function of contract,    media, concentration, and
    laboratory.
CCTC)  CONTACTS: Subject natter  Mike Horasher, Lockhead Data  Audits
    Section Chief  FT5 545-2633  ;   Computer-related  Nancy   Fisher,
    CSC Programmer/Analyst FTS 545-2665  /   EPA Office John  M. Moore,
    Quality Assurance Division, EMSL-LV  FTS 545-2132
(DTP)  Type of data collection or monitoring: Point  source: Hazardous
    Haste Site Sampling
(STA)  Data Base status: Presently  Operational/Ongoing
(NPP)  Non-pollutant parameters Included in the data base: Chemical
    data / collection method or instrument  > location
CDS)  Tine period covered by data base: 06-82 TO 12-82
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: Ongoing: daily
(NOB)  Number of observations in data base: 800(Estimated to date)
(NEI)  Estimated annual increase of observations in  data base: 2000
(INF)  Data base Includes: Raw data/observations
(NTS)  Total number of stations or  sources  covered in data base:  200
(NCS)  No. stations or sources currently originating/contributing data:
    200
(NQF)  Number of facilities covered in data base (source monitoring):  20
    0
(CEO)  Geographic coverage of data  base: National
(LOC)  Data elements identifying location of station or source include:
    Other- Region
(CDE)  Pollutant identification data are: encoded
(LIM)  Limitation/variation in data of which user should be aware:  User
    should be aware that comparisons can be affected by concentration
    level, method of analysis, and media.
(DPR)  Data collect./anal, procedures conform to ORD guidelines:  YES
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(ADD)  Lab Audit: YES
(PRE)  Precision: Partial: accuracy, yes ;  precision Implicitly
    calculated
(EOT)  Editting: YES, documented edits

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                             Accession No.   8213000515     (cent)

(PR2)  Secondary purpose of data collection:  None
CAOT)  Authorization for data collection:  Yes,  citation- CERCLA
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    NO
(REP)  Form of available reports and outputs  of data base:  Machine-reada
    ble raw data ; on-line computer terminal
(80S)  Number of regular users of data base:  15
(OSR)  Current regular users of data base:  EPA  Headquarters Offices-
    OSHER (OHER) ; EPA Regional Offices ;  EPA Laboratories
(CNF)  Confidentiality of data and limits  on  access: Some data
    confidential, limits on both within     EPA and outside the Agency*
(DLC)  Primary physical location of data:  EPA Lab
(DST)  Form of data storage: Magnetic Disc
(DAC)  Type of data access: EPA Software System:  System Name- INFORM
    Language,     Hardware- PDP-11
(CHG)  Direct charge for non-EPA use: No outside  use/access permitted
(UPDT)  Frequency of data base master file up-date: Weekly
(RSS)  Related EPA automated systems which use  data base: None
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    None
(RDB)  Non-EPA data bases used in conjunction with this data base:  None
(CMP)  Completion of form: f John M. Moore#    QFC: Quality Assurance
    Division, EMSL-LV#    AD: 944 E. Harnon,  P.O. Box 15027, Las Vegas,
    NV  89114*    Pfl: (702) 798-2132*
(DF)  Date of form completion: 12-14-82
(CNM)  Contact name(s): Hoasher,M«  J  Fischer,N.  }  Moore,J.M.
(COR)  Contact organization: Quality Assurance  Division, EMSL-LV
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Monitoring Systems  and  Quality Assurance
                             961

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                             Accession No.   8411000521

CDQ)  Date of Questionaire: 12-02-82
(NAM)  name of Data Base of Model: Turbidity
(ACR)  Acronym of Data ease or Model: TURB
(MED)  Media/Subject of Data Base or Model:  Air
(ABS)  Abstract/Overview of Data Base or Model: The data base includes
    daily (ueather permitting) turbidity and supporting meteorological
    measurements taken in the     Research  Triangle Park, N.C.  fora
    July 13, 1969 to the present*  A    sunphotometer is used to
    directly measure the sun's intensity at 380  and 500 nanometer
    wavelengths*
(CTC)  CONTACTS: Subject natter  Dr. Janes  Peterson / Director,
    GMCC, ARL FTS 320-6811  ;  Computer-related  National Climatic
    Center,     Turbidity Section FTS 672-0683  ;  EPA  Office  John
    Rudisill, Meteorology  & Assessment Div., EPA (919) 541-4551
(DTP)  Type of data collection or monitoring: Ambient
(STA)  Data Base status: Presently Operational/Ongoing
CNPP)  Non-pollutant parameters included in the data base: Collection
    method or instrument- sunphotometer ;  location ; sampling date ?
    temperature / Hind direction ; Hind velocity }  Den point,  sky
    cover, visibility, turbidity
CDS)  Time period covered by data base: 07-69 TO 02-83

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                             Accession No.   8411000521     (cont)

    NO

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                             Accession No.   8412000526

(DQ)  Date of Questlonaire: 12-02-82
(NAM)  Name of Data Base of Model:  Willamette Valley Stream Survey
(ACR)  Acronym of Data Base or Model: HVSS
(MED)  Media/Subject of Data Base or Model:  Sediment ; Surface water-
    Streams
CABS)  Abstract/Overview of Data Base or Model:  Data base currently
    contains fish community  information for 21  sites throughout the
    Willamette Valley/ Oregon*    Data includes  total numbers/ total
    Heights, relative community   composition/ nunbers per unit area/
    and weight per unit area.  Water  quality and physical habitat
    characteristics/ as veil as, micro  invertebrate data were
    collected but are not yet stored on the  CERL   computer*
(CTC)  CONTACTS: Subject matter  James D. Giattlna, Senior    Scientist
    (503) 757-4900  >  Computer-related  Joanne  C. Oshiro/ Computer
    Technician (503) 7S7-4813  ;  EPA Office Corvallis Enivronmental
    Research Lab./ Freshwater Division (503) 757-4605
(DTP)  Type of data collection or monitoring: Combinations and other
(STA)  Data Base status: Presently operational/ongoing
(GRP)  Groups of substances represented in Data  Base: Other-  No
    specific pollutants Here measured- most  sites sampled uere largely
    affected by diffuse non-point source  problems/ such as sediment
    runoff, in addition to possible chemical  pollutants.
(NPP)  Non-pollutant parameters included in  the  data base: Biological
    data > chemical data } flow rates ;   geographic subdivisions >
    location ; physical data ; sampling date ;   site description }
    temperature
(DS)  time period covered by data base: 06-82 TO 09-82
(TRM)  Termination of data collection: Has occurred 82-09
(FRQ)  Frequency of data collection or sampling: Ongoing:monthly
(HOB)  Number of observations in data base:  62(Actual to date)
(NEI)  Estimated annual Increase of observations in data base: N/A
(INF)  Data base includes: Ran data/observations ; aggregate  or summary
    observations
(NTS)  Total number of stations or sources covered in data base: 22
(NCS)  No. stations or sources currently originating/contributing data:
    H/A
(MOF)  Number of facilities covered in data  base (source monitoring): N/
    A
(GEO)  Geographic coverage of data base: Single  state- Willamette
    Valley, Oregon
(LQC)  Data elements identifying location of station or source include:
    State ; county ; latitude and longitude/ UTM/     or other
    coordinates
(FAC)  Data elements identifying facility include: Not applicable
(LIM)  Limitation/variation in data of which user should be aware: Data
    was collected for valley bottom streams  only and only during the
    months of June/ August, and September 1982.
(DPR)  Data collect./anal, procedures conform to GRD guidelines: No,
    but other documentation available for each    of the following-
    Sampling plan. Collection method. Analysis method,  and QA
    procedures
(AND  Lab analysis based on EPA-approved or accepted nethods? YES


                             964

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                             Accession No.   8412000526     (cent)

(AUD)  Lab Audit:  N/A:data not based on laboratory analysis
(PRE)  Precision:  Not included in data base, precision and     accuracy
    measurements available from other sources
(EDT)  Editting: Partial* All data entered  into computer data based has
    been checked against origional field data sheets and edited
    appropriately.

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                             Accession No.   8661262155

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model: EPA Extra Data
(ACR)  Acronym of Data Base or Model:  EX
(MED)  Kedia/Subject of Data Base or Model: Effluents* Raw
    intermediate, and final effluent  uastenater streams fton pulp,/
    paper and paperboard mills.  Some  data confidential.
(ABS)  Abstract/Overview of Data Base or Model: Up to 37 months of ran,
    intermediate, and final  effluent wastewater streams daily BOD5,
    TSS, and flow data from 5     mills in  the dissolving sulfite pulp
    subcategory of pulp/ paper, and paperboard industry.  Production
    levels and type of uasteuater    treatment system in - place
    information is available.  Some data is   confidential.
(CTC)  CONTACTS:  Subject matter  W11lard C. Warren (207) 775-     5401
    ;  Computer-related  David J. Ryan (207) 775-5401  ;  EPA  Office
    Robert If. Delllnger, Effluent Guildllnes Division (202)  382-7137
(DTP)  Type of data collection or monitoring: Point source- discharge
    at pulp, paper, and paper     board mills
(STA)  Data Base  status: Presently Operational/Ongoing
(GRP)  Groups of  substances represented in  Data Base: Other- BODS and
    TSS ("conventional*1 uater pollutants)
(NPP)  Non-pollutant parameters Included in the data base: Chemical
    data ; flow rates ; industry ; location ; manufacturer ; production
    levels ; sampling date ; treatment devices     or processes ;
    volume/mass measures
(DS)  Time period covered by data base: 12-77 TO 06-81
CTRM)  Termination of data collection: Has  occurred 81-06
(FRQ)  Frequency  of data collection or sampling: One time only
(NOB)  Number of  observations in data base: 55000(Estimated to date)
(NED  Estimated  annual increase of observations in data base: 0
(INT)  Data base  includes: Raw data/observations ; aggregate or summary
    observations
(NTS)  Total number of stations or sources  covered in data base: 26
(NCS)  No. stations or sources currently originating/contributing data:
    0
(NOF)  Number of  facilities covered in data base (source monitoring): 5
(GEQ)  Geographic coverage of data base: National
(LOO  Data elements identifying location of station or source include:
    Not applicable
(FAC)  Data elements identifying facility include: Plant or facility
    name ; plant  location } program     assigned identifier
(CDE)  Pollutant  identification data are: Uncoded
(LIM)  Limitation/variation in data of which user should be aware: Not
    all data for  all uastewater streams (stations,    sources) is
    available for all facilities.  Some data is confidential. Time
    periods covered by data not identical for all mills.
(DPR)  Data collect./anal, procedures conform to ORD guidelines: NO
(AND  Lab analysis based on EPA-approved or accepted methods? Yes,
    (assumed, as  data submitted was reported    by permittee)
(AUD)  Lab Audit: NO
(PRE)  Precision: None available
(EDT)  Edltting:  Yes, undocumented
(CBY)  Data collected by: Self-reporting, Permittee (provided data to


                             966

-------
                             Accession No.   8661262155     (cont)

    be analyzed) j contractor, E. C. Jordan Co., Inc. (collected data
    from permittee for analysis)
 Other, E. C. Jordan Co., Inc.
(CNF)  Confidentiality of data and limits on access: Some data
    confidential, limits on access both    within EPA and outside the
    agency
(OLC)  Primary physical location of data: Contractor
(OST)  Form of data storage: Other, Magnetic Diskette
(DAC)  Type of data access: Manually only
(CHG)  Direct charge for non-SPA use: No outside use/access permitted
    without EPA Authorization
(OPDT)  Frequency of data base master file up-date: Other, as necessary
    to correct data
(CMP)  Completion of forn: ^Robert E. Handy, Jr.#  OFC: E. C. Jordan
    Co., Inc.#  AD: P. 0. Box 7050, Df Sy Portland ME  04112f PH: (207)
    775-54012
(DF)  Date of form completion: 02-03-83
(HMAT)  Number of substances represented in data base: 2
(NCAS)  Number of CAS registry numbers in data base: 0
(NAT)  Substances represented in data base:
    BODS                                 TSSS
(CNH)  Contact name(s): Warren,W,C.  ;  Ryan,D.J.  }  Bellinger,R.if.
(COR)  Contact organizations Effluent Guidelines Division

-------
                             Accession Ho.   9015000901


-------
                             Accession No.   9015000901      (cont)

(PRE)  Precision: Precision and accuracy estimates exist but are not
    included in data base
(EOT)  Editting:  Edit procedures used and documented.
(CBY)  Data collected by: Self reporting Permittees ;Regional office
    Region I
(ABY)  Data analyzed by:  Self reporting Permittees
    Regional office Region I
(IDL)  Laboratory identification:  HO
(PR1)  Primary purpose of data collection:  Compliance  or enforcement
(AUT)  Authorization for  data collection: Statutory authorization  is  P
    L 92-500, Sections 301, 308 and 402 (Clean     Water Act-CMA)
(OMB)  Data collected/ submit ted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base:  Unpublished
    reports Quarterly Non-compliance Report
(NUS)  Number of regular  users of data base: 80-100
(OSR)  Current regular users of data base:  EPA headquarter  offices
    Office of Enforcement
    EPA regional offices
    EPA laboratories
    States
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: Regional office
(DST)  Form of data storage: Mlcrofich/film, computer
(DAC)  Type of data access: automated for 1 year of data
(CHG)  Direct charge for  non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Seml-annually
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    Pernit Compliance System (PCS)
(RDB)  Non-EPA data bases used in conjunction with this data base: Maine
    -automated Discharge      Monitoring Report (OMR) file.
(CMP)  Completion of form:
    Larry Brill
    OFC: EPA/Region I/Enforcement Division
    AD: JFK Building Boston, MA 02203
    PH: (617) 223-5330
(DF)  Date of form completion: 01-20-82
(NMAT)  Number of substances represented in data base:  140
(HCAS)  Number of CAS registry numbers in data base: 129
(MAT)  Substances represented in data base:
    1, l,l-trichloroethane<71-55-         l,2-dichloropropylene<563-54-2>
       6>                                l,2~diphenylhydrazine<122-66-7>
    1,1,2/2,-tetrachloroethane           1,2-trans-dichloroethylene
       <79-34-5>                            <156-60-5>
    1,l/2-trichloroethane<79-00-5>       l,3-dichlorobenzene<541-73-l>
    l,l-dichloroetnane<75-34-3>          l,4-dichlorobenzene<106-46-7>
    1,1-dlchloro ethylene<7 5-35-4>        2,4,6-trichlorophenol< 88-06-2>
    1,2,4,-trichlorobenzene<120-82-l>    2,4,7,8-tetrachlorodibenzo-p-
    l/2-dichlorobenzene<95-50-l>            dloxin (tcdd)
    l,2-dichloroethane<107-06-2>         2,4-dichlorophenol<120-83-2>
    l,2-dichloropropane<78-87-5>         2,4-dinethylphenol<105-67-9>


                             969

-------
                         Accession No.  9015000901
                  (cont)
2, 4-dinitrophenoKSl-28-5>
2,4-dinitrotoluene<121-14~2>
2,6-dinitrotoluene<606-20-2>
2-chloroethylvinyl ether
2-chloronaphthalene<91-58-7>
2-chlorophenol<95-57-8>
2-nitrophenol<88-75-5>
3,3'-dichlorobenzidine<91-94-l>
3, 4-benzof luoranthene<205-99-2>
4,4*-ddd(p,p*tde)
4, 4'-dde(p,p--ddx)<72-55-9>
4,4'-ddt<50-29-3>
4,6-dlnltro-o-cresol<534-52-l>
4-bromophenyl phenyl ether
   <101-55-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
acenaphthene<83-32-9>
acenaphthylene<203-96-8>
acidity
acrolein<107*02-8>
acrylonitrile<107^13-l>
aldrin<309-00-2>
alkalinity
anthracene<120-12-7>
antiraony<7440-36-0>
arsenlc<7440-38-2>
asbestos<1332-21-4>
benzene<71-43-2>
benzidine<92-87-5>
benzo
benzo(a)pyrene<50-32-8>
benzo(g, h, i)perylene<191-24-2>
benzo(k)fluoranthene<207-08-9>
berylliura<7440-41-7>
bhc £lindane)-gamma<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
bis(2~chloroethoxy)raethane
bis(2-chloroethyl)ether
bis(2-chloroisopropyl)ether
   <39638-32-9>
bis<2-ethylhexyl3phthalate
bis(chlororaethyl)ether<542-88-l>
broaioinethane<74-83-9>
butyl benzyl phthalate<85-68-7>
cadmium<7440-43-9>
carbon tetrachloride<56-23-5>
chlordane<57-74-9>
chlorobenzene
chlorodibronomethane<124-48~l>
chloroethane<75-00-3>
chloroform<67-66-3>
chloronethane<74-87-3>
chro»iuro<7440-47-3>
chrysene<218-01-9>
copper<7440-50-8>
cyanide<57-12-5>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
dibenzo(a,h)anthracene<53-70-3>
dichlorobromo«ethane<75-27-4>
dichlorodifluoroB€thane<75-71-8>
dichloroBethane<75-09-2>
dieldrin<60-57-l>
diethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
dissolved oxygen
dissolved solids
endosulfan sulfate<1031-07-8>
endo5ulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylbenzene<100-41-4>
fecal coliforra
fluoranthene<206~44-0>
fluorene<86-73-7>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene
hexachlorobutadiene<87-68-3>
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
indeno (l,2,3-cd)pyrene
lead<7439-92-l>
aercury<7439-97-6>
n-nitroscdi-n-propylaraine
   <621-64-7>
n*nitrosodiffiethylanine<62-75-9>
n-nitrosodiphenylaroine<86-30~6>
naphthalene<91-20-3>
nickel<7440-02-0>
nltrobenzene<98-95-3>
nltrogen<7727-37-9>
oil and grease
oxygen demand
p-chloro-m-cresol<59-50-7>
pH
                         970

-------
                             Accession No.   9015000901     (cent)

    pcb-1016 (arochlor 1016)             phenol<108-95-2>
       <12674-ll-2>                      phosphorus<7723-14-0>
    pcb-1221 (arochlor 1221)             pyrene<129-00-0>
       <11104-28-2>                      seleniuB<7782-49-2>
    pcb-1232 (arochlor 1232)             silver<7440-22-4>
       <11141-16-5>                      suspended solids
    pcb-1242 (arochlor 1242)             tetrachloroethylene<127-18-4>
       <53469-21-9>                      thalllum<7440-28-0>
    pcb-1248 (arochlor 1248)             tolu«ne<108-88-3>
       <12672-29-6>                      toxaphene<8001-35-2>
    pcb-1254 (arochlor 1254)             tribromoinethane<75-25-2>
       <11097-69-l>                      trichloroethylene<79-01^6>
    pcb-1260 (arochlor 1260)             trichlorof luorotnethane<75-69-4>
       <11096-82-5>                      vinyl chloride<75-01-4>
    pentachlorophenol<87-86-5>           zlnc<7440-66-6>
    phenanthrene<85-01-8>
(CAS)  CAS registry numbers of substances included in data base: 71-55-6
    ; 79-34-5;  79-00-5; 75-34-3; 75-35-4;       120-82-1; 95-50-1;
    107-06-2; 78-87-5; 563-54-2; 122-66-7;  156-60-5;   541-73-1;
    106-46-7; 88-06-2; 120-83-2; 105-67-9;  51-28-5; 121-14-2;
    606-20-2; 110-75-8; 91-58-7; 95-57-8; 88-75-5; 91-94-1; 205-99-2;
    72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7; 83-32-9;
    208-96-8; 107-02-8; 107-13-1; 309-00-2; 120-12-7; 7440-36-0;
    7440-38-2;  1332-21-4; 71-43-2; 92-87-5; 56-55-3; 50-32-8; 191-24-2;
    207-08-9; 7440-41-7; 58-89-9; 319-84-6; 319-85-7; 319-86-8;
    111-91-1;      111-44-4; 39638-32-9; 117-81-7; 542-88-1; 74-83-9?
    85-68-7;      7440-43-9; 56-23-5; 57-74-9; 108-90-7; 124-48-1;
    75-00-3; 67-66-3;    74-87-3; 7440-47-3; 218-01-9; 7440-50-8;
    57-12-5; 84-74-2; 117-84-0;       53-70-3; 75-27-4; 75-71-8;
    75-09-2; 60-S7^1> 84-66-2; 131-11-3;       1031-07*8; 959-98-8;
    33213-65-9; 7421-93-4; 72-20-8; 100-41-4;   206-44-0; 86-73-7;
    1024-57-3;  76-44-8; 118-74-1; 87-68-3;  77-47-4;    67-72-1;
    193-39-5; 78-59-1; 7439-92-1; 7439-97-6; 621-64-7; 62-75-9;
    86-30-6; 91-20-3; 7440-02-0; 98-95-3; 7727-37-9; 59-50-7;
    12674-11-2;      11104-28-2; 11141-16-5; 53469-21-9; 12672-29-6;
    11097-69-1;      11096-82-5; 87^86-5; 85-01-8; 108-95-2; 7723-14-0;
    129-00-0;     7782-49-2; 7440-22-4; 127-18-4; 7440-28-0; 108-88-3;
    8001-35-2;        75-25-2; 79-01-6; 75-69-4; 75-01-4; 7440-66-6
(CNM)  Contact  nane(s): Brill/L.
(COR)  Contact  organization: Enforcement Division Region I
(ROR)  Responsible Organization: Region I.Administrative Services
    Division.
                             971

-------
                             Accession No.   9016000001

(DQ)  Date of Questionaire: 12-02-82

-------
                             Accession No.  9016000001,     (cont)

(AUT)  Authorization for data collection: Statutory authorization Is P
    L 95-190, Section 1442(2b), (Safe Drinking     Water Act-SDWA)
(OMB)  Data collected/submitted using QMS-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Printouts on
    request
(NOS)  Number of regular users of data base: 1
(USR)  Current regular users of data base: EPA Regional Offices:
    Region I
(CNF)  Confidentiality of data and Units on access: No limits on
    access to data
(DLC)  Primary physical location of data: Regional office and state
    agency
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: Commercial software HYLBUR ;EPA softuare
    TCE-Nonitorlng Study ;   EPA hardware IBM 370/168
(CHG)  Direct charge for non-EPA use: Yes D
(OPDT)  Frequency of data base master file up-date: None (termlnated)nch
(CMP)  Completion of form:
    David Chin
    OFC: EPA/Region I/Water Supply Branch, Hater Management Dlv.
    AD: JFK Bldg. Rra 2113 Boston, MA 02203
    PH: (617) 223-4600
(DF)  Date of form completion: 01-26-83
(NMAT)  Number of substances represented in data base: 12-02-82      1
(NCAS)  Number of CAS registry numbers in data base: 12-02-82      1
(MAT)  Substances represented In data base:
    tetrachoroethylene<127-18-4>
(CAS)  CAS registry numbers of substances included in data base: 127-18-
    4
(CNH)  Contact narae(s): Chln,D.   ;    Matt,S.   ;    I,R.
(ROR)  Responsible Organization: Region I.Administrative Services
    Division.
                             973

-------
                             Accession No.   9018000901

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Priority Pollutants
(ACR)  Acronym of Data Base or Model:  PRTYPOLS
861~6700   |
    EPA Office  William Mais
(DfP)  Type of data collection or monitoring: ambient data  collection
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances represented in  Data  Base: 129 307 CHA
(KPP)  Non-pollutant parameters included in the  data base:  Location
    }Sampling date ;Site description
QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(ADD)  Lab Audit: Lab audit is unknown-contractors do analysis.
(PRE)  Precision: Precision and accuracy estimates exist but  are not
    included in data base
(EOT)  Editting: Edit procedures used but undocumented.
(CBY)  Data collected by: Regional office Region I, Surveillance and
    Analysis Division
(ABY)  Data analyzed by: EPA lab Region le  Surveillance and Analysis
    Division
    Contractor lab as used by Surveillance  and Analysis Laboratory
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Risk  assessment
(AUT)  Authorization for data collection: No statutory  requirement:


                             974

-------
                             Accession No.   9018000901
                  (cont)
    Data collection requirement is    the measuring of trends in the
    concentrations of priority pollutants in    sediment and surface
    water,
(OMB)  Data collected/submit ted using OMB-approved EPA reporting forms;
    No QQ
(REP)  Form of available reports and outputs of data base:  Unpublished
    reports "Ambient Toxic Monitoring" in a given river
(Nils)  Number of regular users of data base: 8
(OSR)  Current regular users of data base: EPA headquarter  offices
    Monitoring and Data Support Division;    Effluent Guidelines
    Division
    EPA regional offices
    States
(CNF)  Confidentiality of data and Units on access: No limits on
    access  to data
(DLC)  Primary physical location of data: EPA lab
(DSf)  Form of data storage: Original form 
    1,1,2,2,-tetrachloroetbane
       <79-34-5>
    If lf 2-trichloroethane<79-00-5>
    l,l-dichloroethane<75-34-3>
    l,l-dichloroethylene<75-35-4>
    l,2,4,-trichlorobenzene<120-82-l>
    l,2-dichlorobenzene<95-50-l>
    If2-dichloroethane<107-06-2>
    l,2-dlchloropropane<78-87-5>
    l,2-diphenylhydrazine<122-66-7>
    1,2-trans-dichloroethylene
       <156-60-5>
    If3-dichlorobenzene<541-73-l>
    l,3-dichloropropylene<542-75-6>
    l,4-dichlorobenzene<106-46-7>
    2,4,6-trichlorophenol<88-06-2>
    2,4,7, 8-tetrachlorodibenzo-p-
       dioxin (tcdd)
    2,4-dichlorophenol
    2,4-dimethylphenol
2,4-dinitrophenol<51-28-5>
2^4-dinitrotoluene<121-14-2>
2,6-dinitrotoluene<606-20-2>
2-chloroethylvinyl ether<110-75-8>
2-chloronaphthalene<91-58-7>
2-chlorophenol<95-57-8>
2-nitrophenol<88-75-5>
3,3'-dichlorobenzidine<91-94-l>
3,4-benzofluoranthene<205-99-2>
4,4*-ddd(p,p'tde)
4,4*-dde
4,4*-ddt<50-29-3>
4,6-dlnitro-o-cresol<534-52-l>
4-bromophenyl phenyl ether
   <101-55-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
acenaphthene<83-32-9>
acenaph thylene<208-96-8>
acrolein<107-02-8>
acrylonitrile<107~13-l>
                             975

-------
                         Accession No.  9018000901
                  (cont)
aldrin<309-00-2>
an thracene
an timony<7 440-36-0 >
arsenic<7440-38-2>
asbestos<1332~21-4>
benzene<71-43-2>
b«nzidine<92-87-5>
benzo( a) an thracene<5 6- 55-3>
benzo(a)pyrene<50-32-8>
benzo(g,h,l)perylene<191-24-2>
benzo(k)fluoranthene<207-08-9>
berylliun<7440-41-7>
bhc (llndane)-ganma<58-89-9>
bhc-alpha< 31 9- 84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
b 1st 2-chloroethoxy)ae thane
bis(2-chloroethyl)ether
bis(2-chloroisopropyl) ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis(chloromethyl)ether<542-88-l>
brOBOmethane<74-83-9>
butyl benzyl phthalate<85-68-7>
cadailum<7440-43-9>
carbon tetrachloride<56-23-5>
chlordan«<57-74-9>
chlorobenzene<108-90-7>
chlorodibromoroethane<124-48-l>
chloroethane<75-00-3>
chloroform<67-66-3>
chlororoethane<74-87-3>
chromium<7440-47-3>
chrysene<218-01-9>
copper <7 44 0-50-8>
cyanide<57-12-5>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117*84-0>
dibenzota, h)anthracene<53-70-3>
dlchlorobroaomethane<75-27-4>
dichlorodifluoroniethane<75-71-8>
dlchlorora«thane<75-09-2>
dleldrln<60-S7-l>
di ethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
endosulfan sul fated 031 -07 -8>
endosulfan-alpha<9S9-98-8>
endosulfan-beta<33213-65-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylbenzene<100-41-4>
f luoranthene<206-44-0>
fluorene<86-73-7>
heptachlor epoxide
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
hexachlorobutadiene<87-68-3>
hexachlorocyclopentadlene<77-47-4>
hexachloroethane<67-72-l>
indeno (1^2^3-cd)pyrene<193-39-5>
isophorone<78-59-l>
lead<7439-92-l>
mercury<7439-97-6>
n-nltrosodl-n-propylaroine
   <621-64-7>
n-nltrosodlraethylamine< 62-75- 9>
n-nitrosodiphenylaaine<86-30-6>
naphthalene<91-20-3>
nickel<7440-02-0>
n!trobenzene<98-95-3>
p-chloro-a-cresol<59-50-7>
pcb-1016 (arochlor 1016)
   < 12674-11- 2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorophenol<87-86-5>
phenanthrene<85-01-8>
phenol<108-95-2>
pyrene<129-00-0>
selenivn<7782-49-2>
si lver<7 440-2 2-4>
tetrachloroethylene<127-18-4>
thallium<7440-28-0>
toluene <108-88-3>
toxaohene< 8001-35- 2>
tribroBoiethane<75-25-2>
trichloroethylene<79-01-6>
trichlorofluorofflethane<75-69-4>
vinyl chloride<75-01-4>
zinc<7440-66-6>
                         976

-------
                             Accession No.  901800090)      (cont)

(CAS)  CAS registry numbers of substances included in data base: 71-55-6
    ; 79-34-5; 79-00-5; 75-34-3; 75-35-4;       120-62-1; 95-50-1;
    107-06-2;  78-87-5; 122-66-7; 156-60-5; 541-73-1;   542-75-6;
    106-46-7;  88-06-2; 120-83-2; 105-67*9; 51-28-5; 121-14-2;
    606-20-2;  110-75-8; 91-58-7; 95-57-8; 88-75-5; 91-94-1; 205-99-2;
    72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7; 83-32-9;
    208-96-8;  107^02-8; 107-13-1; 309-00-2; 120-12-7; 7440-36-0;
    7440-38-2; 1332-21-4; 71-43-2; 92-87-5; 56-55-3; 50-32-8; 191-24-2;
    207-08-9;  7440-41-7; 58-89-9; 319-84-6; 319-85-7; 319-86-8;
    111-91-1;       111-44-4; 39638-32-9; 117-81-7; 542-88-1; 74-83-9;
    85-68-7;      7440-43-9; 56-23-5; 57-74-9; 108-90-7; 124-48-1;
    75-00-3; 67-66-3;    74-87-3; 7440-47-3; 218-01-9;  7440-50-8;
    57-12-5; 84-74-2; 117TB4-0;       53-70-3; 75-27-4; 75-71-8;
    75-09-2; 60-57-1; 84-66-2; 131-11-3;       1031-07-8; 959-98-8;
    33213-65-9; 7421-93-4; 72-20-8; 100-41-4;   206-44-0; 86-73-7;
    1024-57-3; 76-44-8; 118-74-1; 87-68-3; 77-47-4;    67-72-1;
    193-39-5;  78-59-1; 7439-92-1; 7439-97-6; 621-64-7;  62-75-9;
    86-30-6; 91-20-3; 7440-02-0; 98-95-3; 59-50-7; 12674-11-2;
    11104-28-2; 11141-16-5; 53469-21-9; 12672-29-6; 11097-69-1;
    11096-82-5; 87-86-5; 85-01-8; 108-95-2; 129-00-0; 7782-49-2;
    7440-22-4; 127-18-4; 7440-28-0; 108-88-3; 8001-35-2; 75-25-2;
    79-01-6; 75-69-4; 75-01-4; 7440-66-6
(CNM)  Contact name(s): Porfert,C.j    tialsh/tt.
(ROR)  Responsible Organization: Region I.Environmental Services
    Division.
                             977

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                             Accession No.   9018000902

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Region I Source test  File
(ACR)  Acronym of Data Base or Model:  SORTST
(MED)  Media/Subject of Data Base or Model: Air ;Ealsslons  New Source
    Performance Standards (NSPS) ;Eraissions  State Implem Emissions
    National Emission Standards for Hazardous Air  Pollutants    (NESHAP)
    ^Emissions  Prevention of Significant Deterioration  (PSD)
(ABS)  Abstract/Overview of Data Base or Model: Results  of  Air  Emission
    tests Mith associated process and   operating  data at the  tine of
    the testing are the contents of    this data base.
(CTC)  CONTACTS: Subject matter   John M. Carlson   (617) 861-6700 ;
    EPA Office  Donald P. Po
(DTP)  Type of data collection or monitoring: Conblnation/Other point
    source and process and operating data     pertinent  to  test
(STA)  Data Base status: Operational/ongoing
(6RP)  Groups of substances represented in Data Base:  5  NESHAPS ;7
    criteria NAAQS
(NPP)  Non-pollutant parameters included In the data base:  Collection
    method ^Concentration measures ;Flo« rates ^Location ;  Production
    levels ;Sampling date ;Site description ;Temperature ;
    Test/analysis method ^Treatment devices ;Yoluse/mass measures
(DS)  Time period covered by data base: 01-01-73 to 12-03-82
(TRM)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: as needed
(NOB)  Number of observations in data base: 230.(Estimated)
(NEI)  Estimated annual increase of observations in data base:  40.
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations ;Reference data/citations
(NTS)  Total number of stations or sources covered In  data  base:  120.
(NCS)  No. stations or sources currently originating/contributing data:
    (N/A.)
(NQF)  Number of facilities covered in data base (source monitoring):  55
    •
(GEO)  Geographic coverage of data base: Selected  federal region Region
    I ;Geographic region New England
(LOC)  Data elements identifying location of station or  source  include:
    State >City jstreet address jProject identifier
CFAC)  Data elements identifying facility Include: Plant facility name
    ?Plant location ^Parent corp name ^Street address
(CDE)  Pollutant identification data are: Uncoded
(LIM)  Limitation/variation in data of which user  should be aware: None
(DPR)  Data collect./anal, procedures conform to GRD guidelines:  Samplin
    g plan documented Collection method documented ^Analysis  method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted  methods?  YES
(AUD)  Lab Audit: Lab audit is satisfactory for 50% for  these  with
    audit samples, no samples  for total suspended particulates (TSP).
(PRE)  Precision: Precision and accuracy estimates are not  available
(EOT)  Editting: Edit procedures used and documented.
(CBY)  Data collected by: Self reporting
(ABY)  Data analyzed by: Self reporting primarily  analysis
    State agency secondary analysis, verification


                             978

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                             Accession No.   9018000902     (cont)

    Regional office secondary analysis, verification
    EPA lab secondary analysis/ verification
    Contractor as hired by sources
(IDL)  Laboratory identification: VES
(PRl)  Primary purpose of data collection:  Compliance or enforcement
(AUT)  Authorization for data collection: Statutory authorization  is P
    L 86-206 as amended, Sections 111 & 114   (Clean Air Act-CAA);
    State Implementation Plans (SIPS)
(OMB)  Data collected/submitted using OMB-approved EPA reporting fores:
    QQ
(REP)  Form of available reports and outputs of data base:  none
(NUS)  Number of regular users of data base: 2 offices
(USR)  Current regular users of data base:  EPA regional offices
    States
(CNF)  Confidentiality of data and Halts on access: Limits on outside
    access for some data
(OLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Original form (hardcopy, readings)
CD AC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: no
(OPDT)  Frequency of data base master file up-date: Other as test  files
    completed
(CMP)  Completion of form:
    John M. Carlson
    OFC: EPA/Region I/Surveillance and Analysis Division/
    Air Section
    AD: 60 Westview St. Lexington, HA 02173
    PH: (617) 861-6700
(DF)  Date of form completion: 01-18-83
(NMAT)  Number of substances represented in data base: 4
(NCAS)  Number of CAS registry numbers in data base: 3
(MAT)  Substances represented in data base:
    nitrogendioxide<10102-44-0>          total suspended participates
    sulfur dioxide<7446-09-5>            vinyl chloride<75-01-4>
(CAS)  CAS registry numbers of substances included in data base: 10102-4
    4-0; 7446-09-5; 75-01-4
(CNM)  Contact name(s): Carlson, J.N.   ;    Porteous,D.P.
(ROR)  Responsible Organization: Region I.Environmental Services
    Division.
                             979

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                             Accession No.   9024000001

(DQ)  Date of Questionaire: 12-02-82
(KAM)  Name of Data Base of Model:  New York Harbor Survey
(ACR)  Acronym of Data Base or Model: None
(MED)  Media/Subject of Data Base or Model: Surface water bays and
    estuaries in New York Harbor
(ABS)  Abstract/Overview of Data Base or Model:  Water quality analysis
    (sampled at two depths)    of bays and  estuaries in the Key York
    Harbor on physical    parameters, bacteriological parameters/
    nutrients/ and some heavy metals.
(CTC)  CONTACTS: Subject natter   Fran Brezenskl  (201) 321-6706  ;
    Computer-related    Ton O'Hare  (212) 264-9850  ;  EPA Office
    Region II
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances represented in  Data Base: 11 conventional
    uater ;15 metals
(NPP)  Non-pollutant parameters included in the data base: Location
    ;Physlcal data ;Samp ling date ySite description ;Te«perature
(DS)  Time period covered by data base: 04-01-66 TO 01-30-74
(TRM)  Termination of data collection: Occurred 01/30/74
(FRQ)  Frequency of data collection or sampling: weekly ;quarterly
(NOB)  Number of observations in data base: 60000*(Estimated)
(NEI)  Estimated annual increase of observations In data base: (N/A.)
(INF)  Data base includes: Rau data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources  covered in data base: 40.
(NCS)  No. stations or sources currently originating/contributing  data:
    (N/A.)
(NOF)  Number of facilities covered in data base (source monitoring): (N
    /A.)
(GEQ)  Geographic coverage of data base: Geographic region Region  II
    (Neu York and New Jersey only)
(LOG)  Data elements identifying location of station or source include:
    State ^County ^Coordinates latitude/longitude
(FAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant identification data are: Storet parameter
(LIM)  Limitation/variation in data of which user should be aware: Tine
    variations:  during the first year (1966)    samples were taken
    weekly to bi-weekly/ then quarterly/     and then/  in about
    1968-1974, only irregular sampling was    done.  No audit samples
    were performed to test    laboratory performance standards.
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(PRE)  Precision: Precision and accuracy estimates are not available
(EOT)  Editting: Edit procedures used but undocumented.
(CBY)  Data collected by: Regional office Surveillance and Analysis
    Division  Laboratory/ Region II
(ABY)  Data analyzed by: Regional office Surveillance and Analysis
    Division     Laboratory/ Region II
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Trend assessment
(PR2)  Secondary purpose of data collection: Special study
(AOT)  Authorization for data collection: No statutory requirement:


                             980

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                             Accession Ho.   9024000001     (cont)

    Data collection requirement is    follow up on pre-EPA  water
    sampling network.
(OMB)  Data collected/submitted using OMB-approved EPA reporting  forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Printouts on
    request
    Machine-readable raw data
    On-line computer
(NUS)  Number of regular users of data base: 1 office
(OSR)  Current regular users of data base:  EPA regional offices
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
COLO  primary physical location of data: NCC/IBM
(DST)  Form of data storage: Magnetic disc
(DAC)  type of data access: EPA software STORET (Storage and Retrieval
    of Hater Quality  Data)  MIDS:5303000101 ;EPA hardware  IBM 370
    Computer System
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file  up-date: Other survey
    discontinued in 1974

    alkalinity                           nickel<7440-02-0>
    cad»iura<7440-43-9>                   nitrogen<7727-37-9>
    chromiua<7440-47-3>                  oil and grease
    copper<7440-50-8>                    oxygen demand
    dissolved oxygen                     pH
    dissolved solids                     phosphorus<7723-14-0>
    fecal coliform                       suspended solids
    lead<7439-92-l>                      zinc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data  base:  7440-43
    -9; 7440-47-3; 7440-50-8; 7439-92-1;   7439-97-6; 7440-02-0;
    7727-37-9; 7723-14-0; 7440-66-6
(CNM)  Contact narae(s): Brezenskl/F.   ;    0"Hare,Tom  ;    II,R.
(ROR)  Responsible Organization: Region II.Assistant Regional
    Administrator for Policy.
                             981

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                             Accession No*   9024000002

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  State 208 Agencies Data
(ACR)  Acronym of Data Base or Model:  None
(NED)  feedia/SubJect of Data Base or Model:  Surface water estuaries and
    rivers
(ABS)  Abstract/Over view of Data Base or Model:  Water quality analysis
    (with a small amount of    effluent data taken at a feu industries)
    of estuaries and   rivers In Region II on physical parameters,
    bacteriological parameters/ nutrients/ and sose heavy metals.   This
    data    can be retrieved from STORE? (Storage and Retrieval of
    Hater Quality Data) by unit agency code  REGII 208.
(CTC)  CONTACTS: Subject matter   J. Delama/M. Savedoff  (212)
    264-0958/C212)    ;     Computer- related Ton O'Hare  (212)
    264-9850 ;  EPA Office Region II
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances represented in Data Base: 11 conventional
    Hater
(MPP)  Non-pollutant parameters Included in  the data base: Location
    ^Physical data ;Sampling date jSite description ^Temperature
CDS)  Time period covered by data base: 04-01-75 TO 07-30-78
(TRW)  Termination of data collection: Occurred 07/30/78
(FRQ)  Frequency of data collection or sampling: Other special surveys
    for varying and United sampling periods*
(NOB)  Number of observations in data base:  100000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: (R/A*)
(INF)  Data base includes: Raw data/observations 3Summary aggregate
    observations
(NTS)  Total number of stations or sources covered in data base: 850.
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(NOF)  Kumber of facilities covered In data  base (source monitoring): (N
    /A.)
(€EO)  Geographic coverage of data base: Selected federal region Region
    II
(LOC)  Data elements identifying location of station or source include:
    State ;County ;Coordinates Latitude/Longitude
(FAC)  Data elements identifying facility include: Plant facility name
    ;Plant location ;NPDES
(CDE)  Pollutant identification data are: Storet parameter
(LIM)  Limitation/variation in data of which user should be aware:  As
    stated above, surveys are varied with respect  to sampling time and
    locations.  Very fen audit samples performed.
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(PRE)  Precision: precision and accuracy estimates are not available
(EOT)  Editting: Edit procedures used but undocumented.
(CBY)  Data collected by: Contractor various contractors collected  this
    data.
(ABY)  Data analyzed by: Contractor lab various contractors analyzed
    this data  (analyses spot-check by EPA-Edison labs)
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection: Special study


                             982

-------
                             Accession No.   9024000002     (cont)

(AUT)  Authorization for data collection:  Statutory authorization  is P
    L 92-500 as amended, Section 208 (Clean Water  Act-CWA)
COMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Printouts on
    request
    Machine-readable raw data
    On-line computer

    fecal coliform                       suspended solids
    nitrogen<7727^37-9>
(CAS)  CAS registry numbers of substances included in data  base: 7727-37
    -9; 7723-14-0
(CUM)  Contact name(s): Delama,J. ;    0'Hare/Tom ;    II*R*

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                             Accession No.   9024000005

(DQ)  Date of Questionaire: 12-02-82
(HAM)  Name of Data Base of Model: Hater Enforcement Regional System
(ACR)  Acronym of Data Base or Model:  HERS
(M£D)  feedia/Subject of Data Base or Model:  Effluents industrial,
    municipal and federal facilities
CABS)  Abstract/Overview of Data Base or Model:  National Pollutant
    Discharge Elimination System (HPDBS)     permittees and permit
    applicants in Region II regulated under  the      Clean Water Act.
    The data base contains facility identification information (such as
    name/ facility/ location/ SIC codes)/ milestone  dates in the
    permit development process/ compliance  action events     (such as
    reports required by the permit and associated dates/    inspections
    performed/ enforcement actions and referrals) influent    and
    effluent limit dates/ and reported dates.
(CTC)  CONTACTS: Subject matter   Steve Rubin  (212) 264-9850;
    Computer-related  Steve Rubin (212) 264-9850  ;
(DTP)  Type of data collection or monitoring:  Point source data
    collection industrial/ municipal and federal    facilities
(STA)  Data Base status: Operational/ongoing
(NPP)  Non-pollutant parameters Included in  the  data base: Collection
    method ^Compliance data ^Concentration measures ;Discharge points ;
    Flow rates ^Geographic subdivision ^Inspection data ^Location  ;
    Political subdivisions ;Salinity ;Sampling date jTemperature ;
    Treatment devices ;conductivity ;galIons distilled ^discharge
    duration ;   velocity
(DS)  Time period covered by data base: 03-01-77 TO 01-31-83
(TRM)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: weekly ^monthly ;Other
    varies by parameter in the reported data
(NOB)  Number of observations in data base:  600000.(Estimated)
(NEI)  Estimated annual Increase of observations in data bases 150000.
(INF)  Data base Includes: Summary aggregate observations
(NTS)  Total number of stations or sources covered in data base: 7500.
(NCS)  No. stations or sources currently originating/contributing  data:
    5000.
(NOF)  Number of facilities covered in data  base (source monitoring): 50
    00.
(CEO)  Geographic coverage of data base: Selected federal region Region
    II
(LOO  Data elements identifying location of station or source include:
    State jCounty ;City ;Toun/tounship ^Coordinates Latitude and
    longitude ;    Project identifier
(FAC)  Data elements Identifying facility include: Plant facility  name
    jPlsnt location ;SIC code JNPDES
(CDE)  Pollutant identification data are: Storet parameter
    Other coding scheme
(LIM)  Limitation/variation in data of which user should be auare: Since
    summary data is from permittees/ quality    assurance methods  are
    questionable.
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(PRE)  Precision: Precision and accuracy estimates are not available
(EDT)  Editting: Edit procedures used and documented.


                             984

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                             Accession No.   9024000005      (cont)

(CBY)  Data collected by:  Self reporting Discharge Monitoring  Reports
    (99%) ^Regional office enforcement &
(ABY)  Data analyzed by:  Self reporting
    State agency
    Regional office Region II
    EPA lab Regional Lab
(IDL)  Laboratory identification:  NO
(PR1)  Primary purpose of data collection:  Compliance or enforcement
(PR2)  Secondary purpose  of data collection:  Trend assessment
(AUT)  Authorization for  data collection: Statutory authorization  Is P
    L 92-500 as amended.  Sections  301, 308, &402   (Clean Hater
    Act-CMA)
COMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    158-R-0073
(REP)  Form of available  reports and outputs of data base:  Quarterly/son
    thly Hater Enforcement reports.   Regional System    Users  Manual
    Printouts on request
    Microfilm
(KOS)  Number of regular  users of  data base:  SO
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Mater Enforcement
    EPA Region II
    EPA laboratories
    States
    Freedom of Information requests
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  primary physical location of  data: HCC/IBM
(DST)  Form of data storage: Magnetic tape  ^Magnetic disc
(DAC)  Type of data access: EPA software HERS 3 components:  Status of
    Permit Development     (facility ID), Status of Permit  Compliance,
    Local Effluent Data System     (parameter data)  MIDS:9024000905
    ;EPA hardware IBM 370/168 ;   retrieval package
(CHG)  Direct charge for  non-EPA use: yes
(UPDT)  Frequency of data base master file  up-date: Other 4 components
    of WERS are updated monthly; 1 is updated bi-weekly.
(RSS)  Related EPA automated systems which  use data base: Permit
    Compliance System (PCS); Facilities   Index System  (FIHDS)
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    Permit Compliance System (PCS);  Facilities   Index  Systems (FINDS)
(RD8)  Non-EPA data bases used in conjunction with this data base:  Neu
    York Department of Environmental    Conservation State  Pollutant
    Discharge Elimination System   (SPDES)  data base
(QDB)  Other pertinent non-EPA data  bases:  New York Department of
    Environmental    Conservation's  Industrial Chemical Survey; New
    Jersey Department of  Environmental Protection's Manifest System;
    Delaware River Basin   Commission's Industrial Exotic Haste Survey
(CMP)  Completion of form:
    George Nossa
    QFC: EPA/Region II/Information Systems  Branch
    AD: 26 Federal Plaza  NY, NY 10278
    PHs (212) 264-9850


                             985

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                             Accession No.   9024000005
                  (cont)
CDF)  Date of form completion: 02-08-83
(NMAT)  Number of substances represented in data base: 132
(NCAS)  Number of CAS registry numbers in data base: 70
(HAT)  Substances represented in data base:
    Ir2,4,-trichlorobenzene<120-
       82-l>
    2, 2,dibromo-3-nitrilopropionainide
    2,4*6-trichlorophenol<88-06-2>
    acidity
    algicides
    alkalinity
    aluniinum<7429-90-5>
    aramonia<7664-41-7>
    antimony<7440-36-0>
    arsenic<7440-38-2>
    asbestos<1332-21-4>
    barium<7440-39-3>
    baroid #2 #7
    ben7ene<71-43-2>
    benzidine< 92-87-5>
    benzisothiozote
    beryllium<7440-41-7>
    bismuth co«npounds<7440-69-9>
    boron coropounds<7440-42-8>
    browine<7726-95-6>
    bromodichlororoethane<75-27-4>
    cad«iuin<7440-43-9>
    calciura
    car bofuran
    carbon tetrachloride<56-23-5>
    chloral<75-87-6>
    chloride
    chlorinated hydrocarbons
    chlorinated organics
    chlorine<7782-SO-5>
    chlorobenzene<108-90-7>
    chlorodibromomethane<124-48-l>
    chloroforra<67-66-3>
    chromium<7440-47-3>
    cobalt<7440-48-4>
    color
    copper<7440-50-8>
    cyai5ide<57-12-5>
    eyclohexlamine
    d ic eyl dine thy 1 amiaoniura chloride
    dichlorobenzene<25321-22-6>
    dichlororaethane<75-09-2>
    dichlorovinyl dimethyl phosphate
    dicyclopentadine<77-73-6>
    diethylhexyl phthalate
    dissolved oxygen
    dissolved solids
dithiocarbomates
ethylbenzene<100-41-4>
ethylene dichloride<107-06-2>
fecal colifors
ferric cyanide
fluorides
fluoroborates
formaIdehyde<50-00-0>
gold
gross alpha
gross beta
hardness
hexamethyl benzene
hydrazine<302-01-2>
hydrocarbons
iodine
iodine 129<15046-84-l>
iron<7439-89-6>
isotopic gamma
lead<7439-92-l>
magnesium
manganese<7439-96-5>
Bercury<7439-97-6>
nethylene bis-thiocycanate
rairex<2385^85-5>
molybdenum and compounds
   <7439-98-7>
nickel<7440-02-0>
nitrates/nitrites
nitrobenzene<98-95-3>
nitrofurans
nitrogen<7727-37-9>
odors
oil and grease
ortho-phosphate
oxygen demand
PH
palladium,total
pesticides
phenol<108-95-2>
phosphorus<7723-14-0>
phthalate esters
phthalic acid<88-99-3>
platinum
polybroalnated biphenyls 
                             986

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                             Accession No.  9024000005     (cont)

    selenium<7782-49-2>                  total organic carbon (fOC)
    settleable solids                    total phosphates
    silica                               total strontium
    silver<7440-22-4>                    total telluriu
    sodium nitrite<7632-00-0>            tribro«oiiethane<75-25-2>
    sodium<7440-23-5>                    trichloroethane<25323-89-l>
    strontium 90<10098-97-2>             trichloroethylene<79-01-6>
    styrene<100-42-5>                    tritiuB<10028-17-8>
    sul fates                             turbidity
    sulfides                             uranil
    sulfite                              uranium 235<15117-96-l>
    surfactants                          uranium 238<7440-61-1>
    suspended solids                     uranium<7440-61-1>
    tetrachloroethylene<127-18-4>        vanadiun<7440-62-2>
    thallium<7440-28-0>                  vinyl acetate<108-05-4>
    tin                                  vinyl chloride<75-01^4>
    tltaniuffl<7440-32-6>                  volatile acids
    toluene<108-88-3>                    xylene<1330-20-7>
    total kjeldahl nitrogen              zinc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data base: 120-82-
    1; 88-06-2; 7429-90-5; 7664-41-7;      7440-36-0; 7440-38-2;
    1332-21-4; 7440-39-3; 71-43-2; 92-87-5;    7440-41^-7; 7440-69-9;
    7440-42-8; 7726-95-6; 75-27-4; 7440-43-9;       1563-66-2; 56-23-5;
    75-87-6; 7782-50-5; 108-90-7; 124-48-1; 67-66-3;       7440-47-3;
    7440-48-4; 7440-50-8; 57-12-5; 25321-22-6; 75-09-2;   77-73-6;
    100-41-4; 107-06-2; 50-00-0; 302-01-2; 15046-84-1;      7439-89-6;
    7439-92-1; 7439-96-5; 7439-97-6; 2385-85-5; 7439-98-7;
    7440-02-0; 98-95-3; 7727-37-9; 108-95-2; 7723-14-0; 88-99-3;
    7440-09-7; 7782-49-2; 7440-22-4; 7632-00-0; 7440-23-5; 10098-97-2;
    100-42-5; 127-18-4; 7440-28-0; 7440-32-6; 108-88-3; 75-25-2;
    25323-89-1; 79-01-6; 10028-17-8; 15117-96-1; 7440-61-1; 7440-61-1;
    7440-62-2; 108-05-4; 75-01-4; 1330-20-7; 7440-66-6
(CNH)  Contact naraeCs): Rubin,S.  ;    RubIn,S.  ;    Ludin,C.
(RQR)  Responsible Organization; Region II.Assistant Regional
    Administrator for Policy*
                             987

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                             Accession No.   9026000101

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Carbon Monoxide Special  Study
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model:  Air ;Moblle source
    emissions
CABS)  Abstract/Overview of Data Base  or Model: This Is a regional
    study to correct     deficiencies  in carbon monoxide network  and  to
    determine hotspots and extent of carbon  monoxide problem.
(CTC)  CONTACTS: Subject matter   Ray  Herner  (212) 264-2517;   EPA
    Office Ray Werner <212) 264-2517
(DTP)  Type of data collection or monitoring:  Ambient data  collection
(STA)  Data Base status: Discontinued
(6RP)  Croups of substances represented in Data Base: 7 criteria  NAAQS
    (Carbon Monoxide)
(NPP)  Non-pollutant parameters included in  the data base:  Chemical
    data ^Concentration measures ^Exposure data ;Geographic subdivision
    ;   Location ^Population density ;Sampling date ;Site description ;
    Hind direction ;Hind velocity ;temperature
(DS)  Time period covered by data base: 10-01-79 TO 10-30-80
CTRM)  Termination of data collection: 04/30/81
(FRQ)  Frequency of data collection or sampling: hourly ;dally  ;weekly
(NOB)  Number of observations in data  base:  56000.(Estimated)
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations ;Reference data/citations
(UTS)  Total number of stations or sources covered in data  base:  38.
(NCS)  No. stations or sources currently originating/contributing data:
    0-
(NOF)  Number of facilities covered in data  base (source monitoring): 0.
(GEO)  Geographic coverage of data base: Geographic region  upstate  Hen
    York, New York City/ and New Jersey.
(LOC)  Data elements identifying location of station or source  Include:
    State ;County ;City ;Town/township ^Street address
(FAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant identification data are: Dncoded
(LIM)  Limitation/variation in data of which user should be aware:  This
    data base is made up of data from   three studies, with  three  months
    of continuous    sampling in each.
(DPR)  Data collect./anal, procedures  conform to QRD guidelines:  Sanplin
    g plan documented ^Collection method documented ^Analysis  method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods?  YES
(AUD)  Lab Audit: Lab audit is satisfactory  for 85%,
(PRE)  Precision: Precision and accuracy estiaates exist for all
    measurements
(EOT)  Edit ting: No known edit procedures exist.
(CBY)  Data collected by: Contractor New York State Department  of
    Transportation;  Environmental Research  and Technology; UAPORA
(ABY)  Data analyzed by: Contractor New York State Department  of
    Transportation;  Environmental Research  and Technology; NAPORA
UDL)  Laboratory identification: YES
(AOT)  Authorization for data collection: No statutory requirement:
    Data collection requirement is    to determine "hotspots"  and


                             988

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                             Accession No.   9026000101      (cont)

    correct deficiencies in carbon monoxide netuork
COMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Unpublished
    reports carbon monoxide hotspot study  for Mev Jersey,  upstate Hen
    York.  New York City report     anticipated by Fall, 1983.
(NOS)  Number of regular users of data base: 50 or more
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Air Quality Planning and  Standards,
    SPA regional offices
    States
(CNF)  Confidentiality of data and limits on access: Ho Units  on
    access to data
(DLC)  Primary physical location of data: Regional office
(OST)  Form of data storage: Original form (hardcopy, readings)
CDAC)  Type of data access: Manually
CCHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Other one tine
    only-report being written
(ODB)  Other pertinent non-EPA data bases:  Staten Island Benzine Study
(CMP)  Completion of form:
    Ray Nerner
    QFC: EPA/Region II/Air and Hazardous Materials Division
    AD: 26 Federal Plaza Ken York, NY 10007
    PH: <212) 264-2517
(DF)  Date of form completion: 01-14-83
(NHAT)  Number of substances represented in data base:  I
(NCAS)  Number of CAS registry numbers in data base: 1
(MAT)  Substances represented in data base:
    carbon monoxide<630-08-0>
(CAS)  CAS registry numbers of substances included in data  base: 630-08-
    0
(CNM)  Contact narae(s): tferner/R. ;    Werner,R»
(ROR)  Responsible Organization: Region II.Air and Haste Management
    Division.
                             989

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                             Accession No,   9026000102


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                             Accession Ho-   9026000102     (cent)

(NUS)  Number of regular users of data base: 50
(USR)  Current regular users of data base:  EPA headquarter offices
    Office of Air Quality Planning and Standards
    EPA regional offices
    States
(CNF)  Confidentiality of data and limits on access: No Halts on
    access to data
(DLC)  Primary physical location of data: State agency
(DST)  Fora of data storage: Original fora (hardcopy, readings)
(DAC)  Type of data access: Manually
CCHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Other data base
    update terminated
(CHP)  Couplet ion of form:
    Debbie Brome
    OFC: EPA/Region II/Air and Hazardous Materials Division
    AD; 26 Federal Plaza Room 900 New York, NY 10007
    PH: (212) 264-2517
(OF)  Date of form completion: 01-14-83
(NMAT)  Number of substances represented in data base: 1
(MAT)  Substances represented In data base:
    total suspendedparticulates
(CNM)  Contact name(s): Kerr,G.
(COR)  Contact organization: Air and Hazardous Materials Division,
    Region II
(ROR)  Responsible Organization: Region II.Air and Haste Management
    Division.
                             991

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                             Accession No.   9027000101

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Federal  Reporting Data System
(ACR)  Acronym of Data Base or Model: PROS
(MED)  Media/Subject of Data Base or Model:  Drinking Hater
(ABS)  Abstract/Overview of Data Base or Model:  FRDS contains
    Identification and statistical summary  information  for each public
    Hater supply (PUS).     Inventory data  Includes capacity/ source
    information/  monitoring requirements/  data  pertaining to
    infringements of EPA standards by a specific PUS/ data pertaining
    to EPA authorized exceptions to the    standard which are granted
    to a specific PMS/ and information pertaining to actions taken
    against a PfcfS.
(CTC)  CONTACTS: Subject natter   Jaime A.  Referents (212) 264-1800
    ;     Computer-related  J  Computer-related  John Baglivi (212)
    264-9580; EPA Office Jaime A. Reference     (212) 264-1355
(DTP)  type of data collection or monitoring:  Combination/Other Public
    Water Supply inventory and monitoring and     surveillance.
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances represented in  Data  Base: 22 drinking Mater
    standards
(NPP)  Non-pollutant parameters Included in the  data bases Compliance
    data ?Inspectlondata ;Location ^Physical data ;Political
    subdivisions Population density ^Production  levels  ;Sampling date
    yTest/analysis method ;    Treatment devices
(DS)  Time period covered by data base: 10-01-78 TO 09-30-82
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: quarterly >annually
(NOB)  Number of observations in data base:  590000 observations
    (per(Estimated)
(INF)  Data base includes: Ran data/observations % Summary aggregate
    observations ^Reference data/citations
(NTS)  Total number of stations or sources  covered in data base: 65/115
    Approx. (Region II) over 400/000  (nationally).)
(NCS)  No. stations or sources currently originating/contributing data:
    Approx. 63/285
(NOF)  Number of facilities covered in data base (source monitoring): 21
    ,705 (public water supplies.)
(GEO)  Geographic coverage of data base: Selected federal region Region
    II
(LOG)  Data elements identifying location of station or source include:
    State ^County ;Clty >Town/township jStreet address  ^Coordinates
    Latitude/longitu Project Identifier
(FAC)  Data elements identifying facility include: Plant facility name
    jPlant location >Street address ;SCC ^Program identifier
(CDE)  Pollutant identification data are: Other  coding  scheme
(LIM)  Limitation/variation in data of which user should be aware: None
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Samplin
    g plan documented ^Collection method documented ;Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(ADD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but are not


                             992

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                             Accession No.   9027000101      (cont)

    included in data base
(EOT)  Editting;  Edit procedures used and documented.
(CBY)  Data collected by: Self reporting Prinary responsibility for
    both monitoring  and violation data co  Local agency Sometimes
    County Dept.  of Health collects for  purveyor.  ;     State agency
    has primacy,  receives data from purveyor.  ;Regional office
    Occasionally state Dept/ of Environmental  Protection collect data.
    occasionally regional office samples where   more  sophisticated
    equipment is necessary. ^Contractor lab for  permittee (purveyor)  >
    Contractor for permittee {purveyor)
(ABY)  Data analyzed by: EPA lab Surveillance  and Analysis Lab; and
    occasionally     Cincinnati lab
    EPA/state certified labs
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Compliance  or enforcement
(PR2)  Secondary purpose of data collection: Inventory
(AUT)  Authorization for data collection: Statutory authorization  is  P
    L 93-523, Sections 1412, 1415, 1416, 1421  and  1422. (Safe Drinking
    Water Act of 1974-SDWA)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting foras:
    158-R-0155
(REP)  Form of available reports and outputs of data base: Printouts  on
    request
    Microfilm
    Machine-readable raw data
    On-line computer
(NUS)  Number of regular users of data base: 2 offices
(USR)  Current regular users of data base:  EPA headquarter offices
    Office of Drinking Hater
    EPA regional offices
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: NCC/IBM
(DST)  Form of data storage: Magnetic Disc:  national  rSDS system
    ^Original form:  data from FY 1978
(DftC)  Type of data access: Commercial softuare System  2000 JEPA
    hardware IBM 370    /Manually:  data from  F
(CHG)  Direct charge for non-EPA use: yes
(OPDT)  Frequency of data base master file up-date: Quarterly
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    Model State Information System (HSIS)
(CMP)  Completion of form:
    Jaime A. Referente
    OFC: EPA/Region II/Water Division
    AD: 26 Federal Plaza New York, NY 10278
    PH: (212) 264-1800
(CF)  Date of form completion: 03-23-83
(NMAT)  Number of substances represented in data base:  21
(NCAS)  Number of CAS registry numbers in data base: 17
                             993

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                             Accession No.  9027000101     (cont)

(MAT)  Substances represented in data base:
    2f4-dichlorophenoxyacetic            methoxychlor<72-43-5>
       acid (2r4-d)<94-75-7>             microbiology coliform bacteria
    arsenic<7440-38-2>                   nitrate<14797-55-8>
    barium<7440-39-3>                    radium 226<13982-63-3>
    cadmiunK7440-43-9>                   radium 228<15262-20-1>
    chroraium<7 440-47-3>                  selenium<7782-49-2>
    endrin<72-20-8>                      sllver<7440-22-4>
    gross alpha                          silvex<93-72-l>
    lead<7439-92-l>                      toxaphene<8001-35-2>
    lin<3ane<58-89-9>                     turbidity
    maniEade beta                         trihalomethane
    mercury<7439-97-6>
(CAS)  CAS registry numbers of substances included in data base: 94-75-7
    ; 7440-38-2; 7440-39-3; 7440-43-9;     7440-47-3J 72-20-8;
    7439-92-1; 58-89-9; 7439-97-6; 72-43-5;      14797-55-8;
    13982-63-3; 15262-20-1; 7782-49-2; 7440-22M; 93-72-1;    8001-35-2
(CNM)  Contact name(s): Referente^J.A. ;    Bagliui^J.;
    Referente/ J,A.
(ROR)  Responsible Organization: Region II.Hater Management Division.
                             994

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                             Accession No.   9028000511

(DQ)  Date of Questionaire:  12-02*82
(NAM)  Name of Data Base of  Model:  Niagara  Frontier  - Lake  Erie
(ACR)  Acronym of Data Base  or Model:  Hone
(MED)  Media/Subject of Data Base or Model:  Sediment
(ABS)  Abstract/Overview of  Data Base  or Model:  The  data base  contains
    priority pollutant values  for about 40 stations in Lake Erie  and
    the Niagara River.  Sediment   was only examined and not the Hater
    column.
(CTC)  CONTACTS: Subject matter  Roland B.  Hemmett (201) 321-6687  ?
    Computer-related  George Nossa (212) 264-9850 j  EPA Office
    Roland  B. Hemmett, Environmental  Services Div.   (201)  321-6687
(DTP)  Type of data collection or monitoring:  Ambient
(STA)  Data Base status: Presently Operational/Ongoing
(GRp)  Groups of substances  represented in  Data Base: 129 307  CMA  ;
    Other- Particle size. Volatile solids
(NPP)  Non-pollutant parameters Included in the data base:  Precipitation
    ; Sampling date ; Site description
(DS)  Time period covered by data base: 06-82  TO 09-82
(TRM)  Termination of data collection: Not  applicable
(FRQ)  Frequency of data collection or sampling: Ongoing: as needed
(NOB)  Number of observations in data  base:  5000(Estimated  to  date)
(NEI)  Estimated annual increase of observations in  data base: N/A
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data  base: 40
(NCS)  No. stations or sources currently originating/contributing  data:
    40
(NOF)  Number of facilities  covered in data base (source monitoring): 0
(GEO)  Geographic coverage of data base: International
(LOG)  Data elements Identifying location of station or source include:
    State ; latitude and longitude, 0TM, or other     coordinates
(FAC)  Data elements identifying facility Include: Not applicable
(CDE)  Pollutant identification data are: coded, storet parameter  codes
(DPR)  Data collect./anal, procedures  conform  to ORD guidelines: No,
    but other documentation  available  for each    of the following:
    sampling plan, collection method,  analysis method,  and QA
    procedures
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(ADD)  Lab Audit: YES
(PRE)  Precision: Not included in data base, precision and  accuracy
    measurements available form other  sources
(EDT)  Edit ting: YES, documented edits
(CBY)  Data collected by: Regional Office ; EPA Lab  ; Contractor Lab  ;
    EPA Headquarters
(ABY)  Data analyzed by: EPA Lab ; Contractor  Lab
(IDL)  Laboratory Identification: YES
(PR1)  Primary purpose of data collection:  Special Study
(PR2)  Secondary purpose of  data collections None
(AUT)  Authorization for data collection: YES, citation: PL92-500
(OMB)  Data collected/submit ted using  OMB-approved EPA reporting forms:
    NO
(REP)  Form of available reports and outputs of data base:  Printouts  on
    request ; Files


                             995

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                             Accession No.   9028000511
                  (cont)
(NUS)  Number of regular users of data base:  10
(USR)  Current regular users of data base:  EPA Regional  Offices j  EPA
    Laboratories ; states
(CNF)  Confidentiality of data and Units on  access:  None
(DLC)  Primary physical location of data: Regional  Office
(DST)  Form of data storages Magnetic Disc
(DAC)  Type of data access:  EPA Software System:  System  Sane-  STORE!/
    Hardware- IBM/168
(CHG)  Direct charge for non-EPA use: YES
COPDT)  Frequency of data base master file up-dates Unknown
(RSS)  Related EPA automated systems which use data base: Unknown
(RDBEPA)  Related EPA data bases used in conjunction  with this data base
    None
(RDB)  Non-EPA data bases used in conjunction with  this  data base:  None
(CMP)  Completion of form: # Randy Braung OFC: U.S.E.P.A., Region  II,
    Edison, ».J,#    AD: Woodbridge Ave., Edison, N.J.   08837#    PH:
    (201) 321-6692*
(DF)  Date of form completion: 01-11-83
(NMAT)  Number of substances represented in data  bases 129
(NCAS)  Number of CAS registry numbers in data base:  0128
(MAT)  Substances represented in data base:
    Acenaphthene <83-32-9>
    Acenaphthylene <208-96-8>
    Acrolein    
    Acrylonitrlle <107-13-1>
    Aldrin <309-00-2>
    Anthracene  <120-12-7>
    Antimony <7440-36-0>
    Arsenic <7440-38-2>
    Asbestos  <1332-21-4>
    BHC-. Alpha.  <319-84-6>
    BHC-.Beta. <319-85-7>
    BHC (Hndane)-. Gamma. <58-89-9>
    BHC-.Delta.  <319-86-8>
    Benzene <71-43-2>
    Benzidine <92-87-5>
    Benzo< a) anthracene  <56-55-3>
    3,4-Benzofluoranthene <205-99-2>
    Benzo(k)  fluoranthene <207-08-9>
    Benzo(g,h,i)perylene <191-24-2>
    BenzoCalpyrene <50-32-8>
    Beryllium <7440-41-7>
    Bis(2-     chloroethoxy)rae thane
    Bis(2-chloroethyl) ether
    Bis(2-chloroisopropyl) ether
       <39638-32-9>
    Bis   (chloronethyl) ether
       <542-88-l>
    Bis<2-ethylhexyl)phthalate
Bromomethane <74-83-9>
4-Bromophenyl phenyl ether
   <101-55-3>
Butyl benzyl phthalate <85-68-7>
Cadmium  <7440-43-9>
Carbon tetrachloride <56-23-5>
Chlordane <57-74-9>
Chlorobenzene <108-90-7>
Chlorodibromomethane   <124-48-l>
Chloroethane 
2-chloroethylvinyl ether
   <110-75-8>
Chloroform <67-66-3>
p-Chloro-m-cresol <59-50-7>
Chloromethane <74-87-3>
2-Chloronaphthalene <91-58-7>
2-Chlorophenol <95-57-8>
4-Chlorophenyl phenyl ether
   <700S-72-3>
Chromium <7440-47-3>
Chrysene <218-01-9>
Copper <7440-50-8>
Cyanide <57-12-5>
4,4'-DDD(p,p'-TDE)   <72-54-8>
4,4*-DDE{p,p*-DDX) <72-55-9>
4,4*-DDT <50-29-3>
OibenzoCa,hianthracene <53-70-3>
Di-n-butyl phthalate <84-74-2>
1,2-Dichlorobenzene <95-50-l>
1,3-Dlchlorobenzene     <541-73-l>
1,4-Dichlorobenzene <106-46-7>
                             996

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                             Accession No.   9028000511
                  (cont)
    3,3*- Dichlorobenzidine <91-94-l>
    Dichlorobroraomethane <75-27-4>
    Oichlorodifluororoethane <75-71-8>
    1,1-Dichloroethane  <75-34-3>
    1,2-Dichloroethane <107-06-2>
    1, 1-Dichloroethylene   <75-35-4>
    1,2-trans-Dichloroethylene
       <156-60-5>
    Dichlorone thane <75-09-2>
    2, 4-Dichlorophenol <120-83-2>
    1,2-Dichloropropane <78-87-5>
    1,2-Dichloropropylene <563-54-2>
    Dieldrin <60-57-l>
    Die thy 1 ph thai ate <84-66-2>
    2,4-  Dimethylphenol <105-67-9>
    Dimethyl phthalate Cl31-ll-3>
    4,6-Dinitro-o-cresol <534-52-l>
    2,4-Dinitrophenol <51-28-5>
    2,4-Dinitrotoluene <121-14-2>
    2,6-Dinitrotoluene <606-20-2>
    Di-n-octyl phthalate <117-84-0>
    lf 2-Diphenylhydrazine <122-66-7>
    Endosulfan-.Alpha, <9S9-98-8>
    Endosulfan-.Beta.     <33213-65-9>
    Sndosulfan sulfate <1031-07-8>
    Endrin <72-20-8>
    Endrin aldehyde <7421-93-4>
    Ethylbenzene <100-41-4>
    Pluoranthene <206-44-0>
    Fluorene <86-73-7>
    Heptachlor     <76-44-8>
    Heptachlor epoxide <1024-57-3>
    Hexachlorobenzene     <118-74-l>
    Hexachlorobutadiene <87-68-3>
    Hexachlorocyclopentadiene
       <77-47-4>
    Hexachlocoethane  <67-72-l>
    Indeno 
    Tsophorone <78-59-l>
    Lead <7439-92-l>
    Mercury <7439-97-6>
    Naphthalene <91-20-3>
    Nickel <7440-02-0>
2-Nitrophenol   <88-75-5>
4-Nitrophenol <100-02-7>
N-Nitrosodimethylamine <62-75-9>
N-Nitrosodiphenylaaine <86-30-6>
N-Mitrosodl-n- propylaaine
   <621-64-7>
Pentachlorophenol <87-86-5>
Phenanthrene    <85-01-8>
Phenol <108-95-2>
PCB-1016 (Arochlor 1016)
   <12674-ll-2>
PCB-1221 (Arochlor 1221)
   <11104-28-2>
PCB-1232   (Arochor 1232)
PCB-1242 (Arochlor 1242)
   <53469-2l-9>
PCB-1248 (Arochlor 1248)
   <12672-29-6>
PCB-1254    (Arochlor 1254)
   <11097-69-l>
PCB-1260 (Arochlor 1260)
   <11096-82-5>
Pyrene <129-00-0>
Selenium <7782-49-2>
Silver <7440-22-4>
2,4,7,8-letrachlorodibenzo-p-
   dioxin (TCDD)
1,1,2,2-T etrachloro ethane
   <79-34-5>
Tetrachloroethylene <127-18-4>
Thallium <7440-28-0>
Toluene    <108-88-3>
Toxaphene <8001-35-2>
Trlbromonethane <75-25-2>
1,,2,4-Trichlorobenzene <120-82-l>
1,1,1-Trichloroethane    <71-55-6
1,1,2-Trichloroethane <79-00-5>
Trlchloroethylene    <79-01-6>
Trichlorof Itiorom^thane <75-69-4>
2,4,6-    Trichlarophenol
   <88-06-2>
Vinyl chloride <75-01-4>
Zinc <7440-66-6>
    Nitrobenzene <98-95-3>
(CAS)  CAS registry numbers of substances included in data base:  83-32-9
    ; 208-96-8; 107^02-8; 107-13*1;   309-00-2; 120-12-7; 7440-36-0;
    7440-38-2; 1332-21-4; 319-84-6;   319-85-7; 58-89-9; 319-86-8;
    71-43-2; 92-87-5; 56-55-3; 205-99-2;     207-08-9; 191-24-2;
    50-32-8; 7440-41-7; 111-91-1; 111-44-4;      39638-32-9; 542-88-1;
    117-81-7; 74-83-9; 101-55-3; 85-68-7;      7440-43-9; 56-23-5;
    57-74-9; 108-90-7; 124-48-1; 75-00-3; 110-75-8;   67-66-3;  59-50-7;
    74-87-3; 91-58-7; 95-57-8; 7005-72-3; 7440-47-3;    218-01-9;
                             997

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                             Accession Ho.   9028000511     (cont)

    7440-50-8;  57-12-5? 72-54-8;  72-55-9; 50-29-3; 53-70-3;
    84-74-2; 95-50-1; 541-73-1; 106-46-7; 91-94-1; 75-27-4; 75-71-8;
    75-34-3; 107-06-2; 75-35-4; 156-60-5; 75-09-2; 120-83-2; 78-87-5;
    563-54-2; 60-57-1; 84-66-2; 105-67*9; 131-11-3; 534-52-1; 51-28-5;
    121-14-2; 606-20-2; 117-84-0; 122-66-7; 959-98-8; 33213-65-9;
    1031-07-8;  72-20-8; 7421-93-4; 100-41-4; 206-44-0; 86-73-7;
    76-44-8;       1024-57-3; 118-74-1; 87-68-3; 77-47-4; 67-72-1;
    193-39-5; 78-59-1;    7439-92-1; 7439-97-6; 91-20-3; 7440-02-0;
    98-95-3; 88-75-5; 100-02-7;      62-75-9; 86-30-6; 621-64-7;
    87-86-5; 85-01-8; 108-95-2; 12674-11-2;   11104-28-2; 11141^16-5;
    53469-21-9; 12672-29-6; 11097-69-1;      11096-82-5; 129-00-0;
    7782-49-2;  7440-22-4; 79-34-5; 127-18-4;   7440-28-0; 108-88-3;
    8001-35-2;  75-25-2; 120-82-1; 71-55-6;  79-00-5;       79-01-6;
    75-69-4; 88-06-2; 75-01^4; 7440-66-6
(CNM)  Contact  naroeCs): Hemmett,R.B.  ;  Nossa,G.  ;  Hemnett,R*B.
(COR)  Contact  organization: Environmental  Services Division
(RGR)  Responsible Organization:  Region II.Environmental Services
    Division.
                             998

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                             Accession Ho.   9028000512


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                             Accession No,   9028000512
                  (cont)
    HO
(REP)  Form of available reports and outputs of data base:  Unpublished
    reports: Arthur Kill Hater Quality    Survey }  Printouts on request
(NUS)  {lumber of regular users of data base; 10
(USR)  Current regular users of data base:  EPA Regional Offices ;  EPA
    Laboratories ;    other Federal Agencies ; States ? Other- ISC
(CNF)  Confidentiality of data and limits on access: None
(DLC)  Primary physical location of data: Regional  Office
(DST)  Form of data storage: Magnetic Disc ; Origional Form, Hardcopy,
    Readings/ etc.
(DAC)  Type of data access: EPA Software System: System Dane- STORET,
    Hardware- IBM 370/168
(CHG)  Direct charge for non-EPA use: YES
(UPDT)  Frequency of data base master file up-date: Unknown
(RSS)  Related EPA automated systems which use data base: Unknown
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    Hone
(RDB)  Non-EPA data bases used in conjunction with  this data base:  None
(CMP)  Completion of form: # Randy Braunf OFC: U.S.E.P.A.,  Region  II,
    Edison, N,J.#    AD: Woodbridge Ave., Edison, N.J.  06837$    PH:
    (201) 321-6692*
(OF)  Date of form completion: 12-28-82
(MMAT)  Number of substances represented in data base: 138
OJCAS)  Number of CAS registry numbers in data base: 0128
(HAT)  Substances represented in data base:
    Acenaphthene <83-32-9>
    Acenaphthylene <208-96-8>
    Acrolein    <107^02-8>
    Acrylonitrile <107-13-1>
    Aldrin <309-00-2>
    Anthracene  <120-12-7>
    Antlffiony <7440-36-0>
    Arsenic <7440-38-2>
    Asbestos  <1332-21-4>
    BHC-. Alpha.  <319-84-6>
    BHC-.Beta. <3l9-85-7>
    BHC (lindane)-. Gamma. <58-89-9>
    BHC-. Delta.  <319-86-8>
    Benzene <71-43-2>
    Benzidine <92-87-5>
    Benzo(a)anthracene  <56-55-3>
    3,4-Benzof luoranthene <205-99-2>
    Benzo(k)  fluoranthene <207^08-9>
    Benzo(g,h, i)perylene <191-24-2>
    BenzoCalpyrene <50-32-8>
    Beryllium <7440-41-7>
    Bis(2-     chloroethoxy)nethane
Bis   (chlororaethyl)ether
   <542-88-l>
Bis(2-ethylhexyl)phthalate
    Bis(2-chloroethyl) ether
    Bis(2-chloroisopropyl) ether
       <39638-32-9>
Bromomethane <74-83-9>
4-Bromophenyl phenyl ether
   <101-55-3>
Butyl benzyl phthalate <85-68-7>
Cadmium  <7440-43-9>
Carbon tetrachloride 
Chlordane <57-74-9>
Chlorobenzene <108-90-7>
Chlorodibroraomethane   <124-48-l>
Chi oroe thane <75-00-3>
2-chloroethylvinyl ether
   <110-75-8>
Chloroform <67-66-3>
p-Chloro-m-cresol <59-50-7>
Chi or om ethane <74-87-3>
2-Chloronaphthalene <91-58-7>
2-Chlorophenol <95-57-8>
4-Chlorophenyl phenyl ether
   <7005-72-3>
Chromium <7440-47-3>
Chrysene <218-01-9>
Copper <7440-50-8>
Cyanide <57-12-5>
                             1000

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                         Accession No.   9028000512
                  (cont)
4,4--DDD(p,p'-TDE)   <72-54-8>
4,4'-DDE(p,p'-DDX) <72-55-9>
4,4'-DDT <50-29-3>
Dlbenzota,hi anthracene <53-70~3>
Di-n-butyl phthalate <84-74-2>
1,2-Dichlorobenzene <95-50-l>
1,3-Dichlorobenzene     <541-73-l>
1,4-Dichlorobenzene <106-46-7>
3, 3 '- Dichlorobenzidine <91-94-l>
Dichlorobromonethane <75-27-4>
Dicnlorodifluoromethane <75-71-8>
1,1-Dichloroethane  <75-34-3>
1,2-Dichloroethane <107~06-2>
1,1-Dichloroethylene   <75-35-4>
1, 2-trans-Dichloroethylen«
   <156-60-5>
Dichloromethane <75-09-2>
2,4-Dichlorophenol <120-83-2>
1^2-DIchloropropane <78-87-5>
1,2-Dichloropropylene <563-54-2>
Dieldrln <60-57-l>
DIethyl phthalate <84-66-2>
2^4-  DImethylphenol <105-67-9>
Dimethyl phthalate <131-ll-3>
4,6-Dinitro-o-cresol <534-52-l>
2^4-Dinltrophenol <51-28-5>
2/4-Dinitrotoluene <121-14-2>
1, 6-Dinitrotoluene <606-20-2>
Di-n-octyl phthalate <117-84-0>
1^2-Diphenylhydrazlne <122-66-7>
Endosulfan-.Alpha. <959-98-8>
Endosulfan-.Beta.     <33213-65-9>
Sndosulfan sulfate <1031-07-8>
Endrln <72-20-8>
Endrin aldehyde <7421-93-4>
Kthylbenzene <100-41-4>
Fluoranthene <206-44-0>
Fluorene <86-73-7>
Heptachlor     <76-44-8>
Heptachlor epoxide <1024-57-3>
Hexachlorobenzene     <118-74-l>
Hexachlorobutadlene <87-68-3>
Hexschlorocyclopentadiene
   <77-47-4>
flexachloroethane  <67-72-l>
Indeno (1,2, 3-cd)pyrene <193-39-5>
Isophorone <78-59-l>
Lead <7439-92-l>
Mercury <7439-97-6>
Naphthalene <91-20-3>
Nickel <7440-02-0>
Nitrobenzene <98-95-3>
2-Nitrophenol   <88-75-5>
4-Mitrophenol <100-02-7>
N-Nitrosodimethylaffline <62-75-9>
N-Nitrosodiphenylamine <86-30-6>
N-Nitrosodi-n- propylaraine
   <621-64-7>
Pentachlorophenol <87-86-5>
Phenanthrene    <85-01-8>
Phenol <108-95-2>
PCB-1016 (Arochlor 1016)
   <12674-ll-2>
PCa-1221 (Arochlor 1221)
   <11104-28-2>
PCB-1232   (Arochor 1232)
PCB-1242 (Arochlor 1242)
   <53469-21-9>
PCB-1248 (Arochlor 1248)
   <12672-29-6>
PCB-1254    (Arochlor 1254)
   <11097-69-l>
PCB-1260 (Arochlor 1260)
   <11096-82-5>
Pyrene <129-00-0>
Selenium <7782-49-2>
Silver <7440-22-4>
"it 4/ 1/ 8-T e tr ach lor odibenzo-p-
   dioxin (TCDD)
1,1, 2 ,2-Tetrachloro ethane
   <79-34-5>
Tetrachloroethylene <127-18-4>
Thallium <7440-28-0>
Toluene    <1 08-88- 3>
Toxaphene <8001^35-2>
Tribronomethane <75-25-2>
1,2,4-Trichlorobenzene <120-82-l>
1,1,1-Trichloroethane    <71-55-6>
If If 2-T richloroethane <79-00-5>
Trichloroethylene    <79-01-6>
Trichlorofluoromethane <75-69-4>
2,4,6-    Trichlorophenol
   <88-06-2>
Vinyl chloride <75-01-4>
Zinc <7440-66-6>,TSS
Oil and Grease
total Col if or IB
Chloride
Phenol
Fecal Coliform
Cyanide
TQC
Dissolved Oxygen
                         1001

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                             Accession No.  9028000512     (cont)

(CAS)  CAS registry numbers of substances included in data base: 83-32-9
    ; 208-96-8; 107-02-8; 107-13-1;   309-00-2; 120-12-7; 7440-36-0;
    7440-38-2; 1332-21-4; 319-84-6;   319-85-7; 58-89-9; 319-86-8;
    71-43-2; 92-87-5; 56-55-3; 205-99-2;     207-08-9; 191-24-2;
    50-32-8; 7440-41-7; 111-91-1; 111-44-4;      39638-32-9; 542-88-1;
    117-81-7; 74-83-9; 101-55-3; 85-68-7;      7440-43-9; 56-23-5;
    57-74-9; 108-90-7; 124-48-1; 75-00-3; 110-75-8;   67-66-3; 59-50-7;
    74-87-3; 91-58-7; 95-57-8; 7005-72-3; 7440-47-3;    218-01-9;
    7440-50-8; 57-12-5; 72-54-8; 72-55-9; 50-29-3; 53-70-3;
    84-74-2; 95-50-1; 541-73-1; 106-46-7; 91^94-1; 75-27-4; 75-71-8;
    75-34-3; 107-06-2; 75-35-4; 156-60-5; 75-09-2; 120-83-2; 78-87-5;
    563-54-2; 60-57-1; 84-66-2; 105-67-9; 131-11-3; 534-52-1; 51-28-5;
    121-14-2; 606-20-2; 117-84-0; 122-66-7; 959-98-8; 33213-65-9;
    1031-07-8; 72-20-8; 7421-93-4; 100-41-4; 206-44-0; 86-73-7;
    76-44-8;       1024-57-3; 118-74-1; 87-68-3; 77-47-4; 67-72-1;
    193-39-5; 78-59-1;    7439-92-1; 7439-97-6; 91-20-3; 7440-02-0;
    98-95-3; 88-75-5; 100-02-7;      62-75-9; 86-30-6; 621-64-7;
    87-86-5; 85-01-8; 108-95-2; 12674-11-2;   11104-28-2; 11141-16-5;
    53469-21-9; 12672-29-6; 11097-69-1;      11096-82-5; 129-00-0;
    7782-49-2; 7440-22-4; 79-34-5; 127-18-4;   7440-28-0; 108-88-3;
    8001-35-2; 75-25-2; 120-82-1; 71-55-6; 79-00-5;       79-01-6;
    75-69-4; 88-06-2; 75-01^4; 7440-66-6
(CNM)  Contact name(s): Henmett,R.8.  ;  Nossa,G.  ;  Hemraett^R.B.
(COR)  Contact organization: Roland B. Hemnett
(ROR)  Responsible Organization: Region II.Environmental Services
    Division.
                             1002

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                             Accession No.   9028000901

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  PCBs In  Lower Hudson River Sediments
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model: Sediment
(ABS)  Abstract/Overview of  Data Base or Model:  Data base contains
    results of 60 sediment samples which were analyzed  for
    polychlorinated blphenyls (PCBs).    Samples  were collected from
    Troy, N.Y, to New York City during   December,  1976»
(CTC)  CONTACTS: Subject matter   Roland Hemmett  (201) 321-6687   |
    Computer-related    Robert Messina  (212) 264-9850  } EPA Office
    Roland Hemraett (201) 321-6687
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Update terminated
(NPP)  Non-pollutant parameters included in the  data base: Location
    ;Sampling date
(DS)  Time period covered by data base: 12-01-76 10 10-22-81
(TRM)  Termination of data collection: Occurred  12/30/76 ; another set
    of samples was collected in October 1981.
(FRQ)  Frequency of data collection or sampling: twice
(NOB)  Number of observations in data base: 60(estimated)
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data base:  40.
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(NOF)  Number of facilities  covered in data base (source monitoring): 0.
(GEQ)  Geographic coverage of data base: Geographic region Lower  Hudson
    River, New York and Upper Hudson River
(LOG)  Data elements identifying location of station or source Include:
    Coordinates latitude/longitude
(CDE)  Pollutant identification data are: Storet parameter
(LIH)  Limitation/variation  in data of which user should be aware: See
    abstract for study limitations.
(DPR)  Data collect./anal, procedures  conform to QRD guidelines!  Samplin
    g plan documented ^Collection method documented ^Analysis method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit  is satisfactory.
(PRE)  Precision: Precision  and accuracy estimates exist but are  not
    included in data base
(EDT)  Editting: "YYes
(CBY)  Data collected by: Regional office Environmental Services
    Division
(ABY)  Data analyzed by: Regional office Environmental  Services
    Division
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Compliance or enforceoent
(PR2)  Secondary purpose of  data collections Trend assessment
(AUT)  Authorization for data collection: Statutory authorization is  P
    L 92-500 as amended. Section 106 and 305  (Clean Hater Act-CWA)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting  formss
    QQ
(REP)  Form of available reports and outputs of  data base: Publications


                             1003

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                             Accession No.   9026000901     (cont)

    PCBs In Lower Hudson River Sediments:   a preliminary     survey
    On-line computer
(NOS)  Number of regular users of data base: 10
(USR)  Current regular users of data base:  EPA regional offices
    States
(CNF)  Confidentiality of data and limits on access: Mo limits on
    access to data
(DLC)  Primary physical location of data:  Regional office
{DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software STORET  MIDS:5303000101 ;EPA
    hardware IBM 370/168
(CHG)  direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file  up-date: Other data base
    update terminated
(CMP)  Completion of form:
    Roland Hemmett
    OFC: EPA/Region II/Environmental Services Division
    AD: Woodbrldge Ave. Edison NJ
    PH: (201) 321-6687
(DF)  Date of form completion: 01-14-83
(NMAT)  Number of substances represented in data base: 1
(MAT)  Substances represented in data base:
    polychlorinated biphenyls               (PCBs)
(CfJM)  Contact name(s): Hemraett/R.;    Messina^R ?    Heonett^R*
(ROR)  Responsible Organization: Region II.Environmental Services
    Division*
                             1004

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                             Accession No.   9028000902

(DQ)  Date of Questionairc:  12-02-82
(NAM)  Name of Data Base of Model: Newark Bay
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model:  Surface water estuary
(ABS)  Abstract/Overview of Data Base or Model:  Data base contains
    dissolved oxygen and sulfide   data from twenty stations within
    Newark Bay.  The samples   are collected at  low slack tide from one
    foot below the     surface and one foot  off  the botton.
(CfC)  CONTACTS:  Subject matter   Roland Hemmett  <201) 321-6687  f
    Computer-related  Jack S
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base  status: Complete
(NPP)  Non-pollutant parameters included in  the  data base: Location
    ;Sampling date

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                             Accession No.   9028000902     tcont)

(NUS)  dumber of regular users of data base:  50
(USR)  Current regular users of data base:  EPA regional offices
    States
(CNF)  Confidentiality of data and limits on access: Ho limits on
    access to data
(DLC)  Primary physical location of data: Regional office
COST)  Form of data storage: Magnetic disc
(OAC)  type of data access: EPA software STORET  HIDS:5303060101 JEPA
    hardware IBM 370/168
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Other originally
    Meekly non monthly
(CMP)  Completion of form:
    Roland Hemmett
    OFC: EPA/Region II/Snvironmental Services Division
    AD: Woodbridge Ave/ Edison/ NJ
    PH: <201) 321-6687
(DF)  Date of form completion: 01-14-83
(NMAT)  Number of substances represented in data base: 2
(MAT)  Substances represented in data base:
    dissolved oxygen                     sulfide
(CNM)  Contact naiae(s): Hemmett^R.;    Messina/R. ;    Hemnett,R
(ROR)  Responsible Organization: Region II.Environmental Services
    Division.
                             1006

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                             Accession No.   9028000903

      Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  New York Bight Ocean Monitoring
    Program
(ACR)  Acronym of Data Base or Model: None
(MED)  Hedia/Subject of Data Base or Model: Surface water Ocean (Bight
    apex)
(ABS)  Abstract/Overview of Data Base or Model:  Data Base contains
    results from 177 sampling locations spread over the nearshore
    waters of the New York Bight.  Samples  are collected weekly in  the
    uater column (1 meter below surface and 1 meter off    bottom)  from
    May 15 to September 30.
(CTC)  CONTACTS: Subject matter   Roland Hemmett  (201) 321-6687 ;
    Computer-related    Messina,R.   (212) 264-9850 ; EPA Office  Roland
    Heamtett (201) 321-6687
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances represented in  Data Base: 129 307 CMA ill
    conventional water
(NPP)  Non-pollutant parameters included in the data base: Location
    ;Sampling date ;Site description ;Teraperature
(DS)  Time period covered by data bases 05-01-77 TO 12-28-82
(TRM)  Termination of data collection: Hot  anticipated
(FRQ)  Frequency of data collection or sampling: as needed Bother
    weekly:  temperature and dissolved oxygen fOther monthly:  othe
    Other as needed:  129 sediment samples
(NOB)  Number of observations in data base: 45000,(Estimated)
(NEI)  Estimated annual increase of observations in data basei 7650.
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data base: 250.
(NCS)  No. stations or sources currently originating/contributing data:
    250.
(NOF)  Number of facilities covered in data base (source monitoring): 0.
(GEO)  Geographic coverage of data base: Geographic region New York
    Bight
(LOG)  Data elements identifying location of station or source Include:
    Coordinates latitude/longitude
(FAC)  Data elements identifying facility include: M/A
(CDE)  Pollutant identification data are: Storet parameter
(LIM)  Limitation/variation in data of which user should be aware:  Prior
    ity pollutants sampled in sediment only.  Not all 177 stations  are
    sampled for the 129    priority pollutants.
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Samplin
    g plan documented /Collection method documented /Analysis method
    document QA procedures documented
(AMD  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but are not
    Included in data base
(EDT)  Editting: Edit procedures used and documented.
(CBY)  Data collected by: Regional office Region II, Surveillance and
    Analysis Division
(ABY)  Data analyzed by: Regional office Region II, Surveillance and


                             1007

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                             Accession No.   9028000903     (cont)

    Analysis Division
(IDL)  Laboratory Identification: NO
(PR1)  Primary purpose of data collection:  Compliance or enforcement
(PR2)  Secondary purpose of data collection: Trend assessment
(ADT)  Authorization for data collection: Statutory authorization is P
    L 92-500 as amended (Sections 403 and 405 (Clean Hater Act-CUA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Publications
    New York Bight Report
    On-line computer
(NUS)  Number of regular users of data base: 10
(USR)  Current regular users of data base:  EPA regional offices
(CNF)  Confidentiality of data and Halts on access: No limits on
    access to data
(DLC)  Primary physical location of data: Regional office
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software STORET  KIDS:5303000101 ;EPA
    hardware IBM 370/168
(CHG)  Direct charge for non-EPA use: yes
(OPDT)  Frequency of data base master file  up-date: Weekly
(CMP)  Completion of form:
    Roland Heramett
    OFC: EPA/Region Il/Surveillance and Analysis Division
    AD: Hoodbridge Ave Edison, NJ
    PH: (201) 321-6687
(DF)  Date of fora completion: 01-14-83
(NMAT)  Number of substances represented in data base: 134
(NCAS)  Number of CAS registry numbers in data base: 127
(MAT)  Substances represented in data base:
    I,l,l-trichloroethane<71-55~         2,4-dinitrophenol<51^28-5>
       6>                                2,4-dinltrotoluene<121-14-2>
    1,1,2, 2,-tetrachloroethane           2,6-dinitrotoluene<606-20-2>
       <79-34-5>                         2-chloroethylvinyl ether<110-75-8>
    l,l,2-trlchioroethane<79-00-5>       2-chloronaphthalene<91-58-7>
    l,l-dichloroethane<75-34-3>          2-chlorophenol<95-57-8>
    l,l-dlchloroethylene<75-35-4>        2-nitrophenol<88-75-5>
    l/2,4,-trichlorobenzene<120-82-l>    3,3'-dichlorobenzidine<91-94-l>
    l/2-dichlorobenzene<95-50-l>         3,4-benzofluoranthene<205-99-2>
    l,2-dichloroethane<107-06-2>         4,4*-ddd(p,p'tde)
    l,2-dichloropropane<78-87-5>         4/4'-dde(p,p'-ddx)<72-55-9>
    l,2-dichloropropylene<563-54-2>      4/4"-ddt<50-29-3>
    l,2-diphenylhydrazine<122-66-7>      4,6-dlnitro-o-cresol<534-52-l>
    1/2-trans-dichloroethylene           4-broraophenyl phenyl ether
       <156-60-5>                           <101-55-3>
    If3-dichlorobenzene<541-73-l>        4-chlorophenyl phenyl ether
    l,4-dlchlorobenzene<106-46-7>           <7005-72-3>
    2,4,6-trichlorophenol<88-06-2>       4-nitrophenol<100-02-7>
    2f 4,7,8-tetrachlorodibenzo-p-        acenaphthene<83-32-9>
       dioxin (tcdd)                     acenaphthylene<208-96-8>
    2,4*dichlorophenol<120-83-2>         acrolein<107-02-8>
    1f4-dimethylphenoK105-67-9>         aerylonitrile<107-13-l>


                             1008

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                         Accession No.  9028000903
                  (cont)
aldrin< 309-0 0-2>
anthracene<120-12-7>
antiraony<7440-36-0>
arsenlc<7440-38-2>
asbestos<1332-21-4>
benzene<71-43-2>
benzidine<92-87-5>
benzo(a)anthracene<56-55-3>
ben*o(a)pyrene<50-32-8>
benzo(g,h, i)perylene< 191-2 4-2>
benzo(k)f luoranthene<207-08-9>
berylliuB<7440-41-7>
bhc (lindane)-ga«aa<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-65-7>
bhc-delta<319-86-8>
bis(2-chloroethoxy)nethane
bis(2-chloroethyl)ether
bis( 2-chloroisopropy 1) ether
   <39638-32-9>
bis (2-ethylhexyl)phtha late
bis(chloromethyl)ether<542-88-l>
bromoroethane<74-83-9>
butyl benzyl phthalate<85-68-7>
cad»iun<7440-43-9>
carbon tetrachloride<56-23-5>
chlordane<57-74-9>
chlorobenzene<108-90-7>
chlorodibromonethane<124-46-l>
chloroethane<75-00-3>
chloroforra<67-66-3>
chloromethane<74-87-3>
chroroiviffl<7440-47-3>
chrysene<218-01-9>
copper<7440-50-8>
di-R-butyl phthalate<84-74-2>
di-o-octyl phthalate<117-84-0>
diben2o(a/h) anthracene<53-70-3>
dichlorobromoaethane<75-27-4>
dichlorodifluoromethane<75-71-8>
dichloronethane<75-09-2>
dleldrin<60-57-l>
diethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
dissolved solids
endosulfan sulfate<1031-07-8>
endosulf an-alpha<959-98-8>
end osul fan-be ta<3321 3-65-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylbenzene<100-41-4>
fluoranthene<206-44-0>
fluorene<86-73-7>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hex achlorobenzene< 1 18-7 4-l>
hexachlorobutadiene<87-68-3>
hexachlorocyclopentadiene<77-47-4>
hexachlocoethane<67-72-l>
indeno (1^ 2,3-cd)pyrene<193-39-5>
isophorone<78-59-l>
lead<7439-92-l>
mercury <7439-97-6>
n-nitrosodi-n-propylanlne
   <621-64-7>
n-nitrosodlBethylanine<62-75-9>
n-nitrosodiphenylaffline< 86-30-6>
naphthalene<91-20-3>
nickel<7440-02-0>
nitrobenzene<98-95-3>
p-chloro-«-cresol<59-50-7>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 {arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorophenol<87-86-5>
ph
phenanthrene<85-01-8>
phenol<108-95-2>
pyrene< 129-00- 0>
selenium<7782-49-2>
silver<7440-22-4>
tetrachloroethylene<127-18-4>
thalliun<7440-28-0>
toluene<108-88-3>
total kjeldahl nitrogen
total suspended solids (TSS)
toxaphene< 8001-35-2>
transparency
trlbromoDethane<7 5-25-2 >
trichloroethylene<79-01-6>
                         1009

-------
                             Accession No.  9028000903     (cont)

    trichlorofluororaethane<75-69-4>      zinc<7440-66-6>
    vinyl chloride<75-01-4>
(CAS)  CAS registry numbers of substances included in data base: 71-55-6
    ; 79-34-5; 79-00-5? 75-34-3; 75-35-4;       120-82-1; 95-50-1;
    107-06-2; 78-87-5; 563-54-2; 122-66-7; 156-60-5;   541-73-1;
    106-46-7; 88-06-2; 120-83-2; 105-67-9; 51-28-5; 121-14-2;
    606-20-2; 110-75-8; 91-58-7; 95-57*8; 88-75-5; 91-94-1; 205-99-2;
    72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7; 83-32-9;
    208-96-8; 107-02-8; 107-13-1; 309-00-2; 120-12-7; 7440-36-0;
    7440-38-2; 1332-21-4; 71-43-2; 92-87-5; 56-55-3; 50-32-8; 191-24-2;
    207-08-9; 7440-41-7; 58-89-9; 319-84-6; 319-85-7; 319-86-8;
    111-91-1;      111-44-4; 39638-32-9; 117-81-7; 542-88-1; 74-83-9;
    85-68-7;      7440-43-9; 56-23-5; 57-74-9; 108-90-7; 124-48-1;
    75-00-3; 67-66-3;    74-87-3; 7440-47-3; 218-01^9; 7440-50-8;
    57-12-5; 84-74-2; 117-84-0;       53-70-3; 75-27-4; 75-71-8;
    75-09-2; 60-57-1; 84-66-2; 131-11-3;       1031-07-8; 959-98-8;
    33213-65-9; 7421-93-4; 72-20-8; 100-41-4;   206-44-0; 86-73-7;
    1024-57-3; 76-44-8; 118-74-1; 87-68-3; 77-47-4;    67-72-1;
    193-39-5; 78-59-1; 7439-92-1; 7439-97-6; 621-64-7; 62-75-9;
    86-30-6; 91-20-3; 7440-02-0; 98-95-3; 59-50-7; 12674-11-2;
    11104-28-2; 11141-16-5; 53469-21-9; 12672-29-6; 11097-69-1;
    11096-82-5; 87-86-5; 85-01-8; 108-95-2; 129-00-0; 7782-49-2;
    7440-22-4; 127-18-4; 7440-28-0; 108-88-3? 8001-35-2; 75-25-2;
    79-01r6; 75-69-4; 75-01-4; 7440-66-6
(CNM)  Contact narae(s): Henmett,R.;    Sweeney,J.;    Heromett,R.
(ROR)  Responsible Organization: Region II.Environmental Services
    Division.
                             1010

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                             Accession No.   9026000904

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  ALDICARB Data Ease
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model: Drinking nater
(ABS)  Abstract/Overview of  Data Base  or Model:  The ALDICARB  data base
    was collected from    8  drinking water  uells on Long Island,  NY.
(CTC)  CONTACTS:  Subject natter   Francis Brezenski  (201)321-6706;
    Coaputer-related  Robert
(DTP)  Type of data collection or monitoring:  Ambient data  collection
(STA)  Data Base  status: Discontinued
(NPP)  non-pollutant parameters included in the  data base:  Collection
    method jLocation jPhysical data ;Sampling  date jSite description
(DS)  Tine period covered by data base: 07-00-79
(TRM)  Termination of data collection: Not  applicable
(FRQ)  frequency  of data collection or sampling: one time only
(NOB)  Number of  observations in data  base: 8.(Actual)
(NEI)  Estimated  annual increase of observations in data base: (N/A.)
(INF)  Data base  includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data  base:  8*
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(NOF)  Number of  facilities  covered in data base (source monitoring): 0.
(CEO)  Geographic coverage of data base: County/ssaller location  Long
    Island, NY
(LOC)  Data elements identifying location of station or source include:
    State ;City ;Street address
(FAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant  Identification data are: Oncoded
(LIM)  Limitation/variation  in data of which user should be aware: Analy
    ses done by U.S. Department of     Agriculture Lab-unknown
    performance evaluation.
(DPR)  Data collect./anal, procedures  conform  to ORD guidelines:  Collect
    ion method documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(PRE)  Precision: Precision  and accuracy estimates exist but  are  not
    included in data base
(EOT)  Editting:  Edit procedures used  but undocumented.
(CBY)  Data collected by: Local agency local health department
    ^Regional office Surveillance and  Analysis
(ABY)  Data analyzed by: Other federal agency  U.S. Department of
    Agriculture    Lab-Beitsville, MD
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Risk  assessment
(AUT)  Authorization for data collection: No statutory requirement!
    Data is collected due to a   special request to investigate
    aldicarb in drinking water-follow  up turned  over to county.
(OMB)  Data collected/submitted using  OMB-approved EPA reporting  forms:
    QQ
(REP)  Form of available reports and outputs of  data base:  Machine-reada
    ble raw data
(NUS)  Number of  regular users of data base: 4 offices
(USR)  Current regular users of data base:  EPA laboratories


                             1011

-------
                             Accession No.   9028000904     (cont)

    Other federal agencies
    States
(CNF)  Confidentiality of data and Units on access: No 1 is its on
    access to data
(DLC)  Primary physical location of data: Regional office
COST)  Form of data storage: Original fora  (hardcopy, readings)
(DAC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: yes
(OPDT)  Frequency of data base master file  up-date: Other one time study
(CMP)  Completion of form:
    Randy Braun
    OFC: EPA/Region II
    AD: Edison, N.J.
    Pfl: (201)321-6692
(DF)  Date of form completion: 01-14-83
(NMAT)  Number of substances represented in data base: 1
(NCAS)  Number of CAS registry numbers in data base: 1
(HAT)  Substances represented in data base:
    Aldicarb<116-06-3>
(CAS)  CAS registry numbers of substances included in data base:  116-06-
    3
(CNM)  Contact name(s): Messina/R.  ;  Brezenskl,F*
(ROR)  Responsible Organization: Region II.Environmental Services
    Division*
                             1012

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                             Accession No.   9028000905

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model: Huaacao  Ambient Data Base
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model:  Effluents industrial
    ^Sediment ;Surface water creek
(ABS)  Abstract/Overview of Data Base or Model:  Intensive survey  of
    Frontera Creek in   Humacao, Puerto Rico*   Industries,  creek
    sediment,     and creek vater column were  all sampled for  metals
    and selected organics.
CCTC)  CONTACTS: Subject matter   Roland Hemmett  (201)321-6687    ?
    Computer-related    Archdeacon,B.   (201)321-6181  ;  EPA Office
    Region II, Edison, NJ (201)321-6687
(DTP)  Type of data collection or monitoring:  Non point source data
    collection
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances represented in  Data Base: 129 307  CWA ;11
    conventional water ;15 metals
(NPP)  Non-pollutant parameters included in the data base:  Collection
    method ;Physical data
(DS)  Time period covered by data base: 10-00-79
(TRM)  Termination of data collection: Not  applicable
(FRQ)  Frequency of data collection or sampling: one time only
(NOB)  Number of observations in data base:  300.{Estimated)
(NED  Estimated annual increase of observations in data base: 0.
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data base:  20.
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(NOF)  Number of facilities covered in data base (source monitoring):  6.
(6EO)  Geographic coverage of data base: County/saaller location
    Frontera Creek, flumacao, Puerto Rico
(LOC)  Data elements identifying location of station or source include:
    State ;County ;City ;Town/township ;Project identifier
(FAC)  Data elements identifying facility include: Plant facility name
    ;Plant location ^Street address ;NPDES
(CDE)  Pollutant identification data are: Storet parameter
(LIM)  Limitation/variation in data of which user should be aware; Vary!
    ng samples and parameters for different stations
(DPR)  Data collect./anal, procedures conform  to ORD guidelines:  Samplln
    g plan documented /Collection method documented ;Analysis  method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(AOD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but are  not
    included in data base
(EOT)  Edltting: Edit procedures used but undocumented.
(CBY)  Data collected by: Regional office Environmental Services
    Division, Region II
(ABY)  Data analyzed by: Regional office Environmental Services
    Division, Region II
(IDL)  Laboratory identification: YES
(AUT)  Authorization for data collection: No statutory requirement:


                             1013

-------
                             Accession No,  9028000905     (cont)

    Data collection requirement Is    at request of Environmental
    Quality Board (Puerto Rico) to assist in  evaluating local problem*
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Forte of available reports and outputs of data base: Unpublished
    reports Fr enter a Creek Survey, Hunacao* Puerto Rico
    Printouts on request
(BOS)  mimber of regular users of data base: 50
(OSR)  Current regular users of data base: EPA regional offices
    Other federal agencies
    States
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: Regional office

       6>                                2,6-dinitrotoluene<606-20-2>
    1,1,2,2,-tetrachloroethane           2-chloroethylvinyl ether<110-7S-8>
       <79-34-5>                         2-chloronaphthalene<91r58-7>
    l,l,2-trlchloroethane<79-00-5>       2-chlorophenol<95-57-8>
    l,l-dichloroethane<75-34-3>          2-nitrophenol<88-75-5>
    l,l-dichloroethylene<75-35-4>        3,3*-dichlorobenzidlne<91-94-l>
    If2f4,-trichlorobenzene<120-82-l>    3,4-benzofluoranthene<205-99-2>
    l,2-dichlorobenzene<95-50-l>         4,4*-ddd(p,p'tde)
    l,2-dlchloroethane<107-06-2>         4,4'-dde(p,p*-ddx)<72-55-9>
    1^2-dichloropropane<78-87-5>         4,4"-ddt<50-29-3>
    l,-2-dichloropropylene<563-54-2>      4,6-dinitro-o-cresol<534-52-l>
    l,2-diphenylhydrazine<122-66-7>      4-bromophenyl phenyl ether
    l#2-trans-dichloroethylene              <101-55-3>
       <1S6-60-S>                        4-chlorophenyl phenyl ether
    1,3-dichlorobenzene<541-73-l>           <7005-72-3>
    l,4-dichlorobenzene<106-46-7>        4-nitrophenol<100-02-7>
    2_,4J?6-trichlorophenol<88-06-2>       acenaphthene<83-32-9>
    2#4^7^8-tetrachlorodibenzo-p-        acenaphthylene<208-96-8>
       dioxin (tcdd)                     acidity
    2f4-dichlorophenol<120-83-2>         acrolein<107-02-8>
    2,4-dimethylphenol<105-67-9>         acrylonltrile<107-13-l>
    2#4»dinitrophenol<51-28-5>           aldrin<309-00-2>


                             1014

-------
                         Accession No.  9028000905
                  {cent)
alkalinity
anthracene <1 20-1 2-7>
ant!nony<7440-36-0>
arsenic<7440-38-2>
asbestos<1332-21-4>
ben2ene<7l-43-2>
benzidine<92-87-5>
benzoC a)anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
benzo(g,h, i)perylene
benzo(k)fluoranthene<207-08-9>
beryllium<7440-41-7>
bhc {lindane)-garaiaa<58-89-9>
bhc-alpha< 31 9-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
bis(2-chloroethoxy)methaTie
bis(2-chloroethyl)ether
bis(2-chloroisopropy 1) ether
   <39638-32-9>
bis<2-ethy Ihexyl )phthalate
bis(chloromethyl)ether<542-88-l>
bronomethane<74-83-9>
butyl benzyl phthalate<85-68-7>
cadKium<7440-43-9>
carbon tetrachloride<56-23-5>
chlordane<57-74-9>
chlorobenz ene< 10 8-90 -7>
chlorodibromomethane<124-48-l>
chloroethane<75-00-3>
chloro£orro<67-66-3>
chlororaethane<74-87-3>
chroraiuni<7440-47-3>
chrysene<218-01-9>
copper<7440-50-8>
cyanide<57-12-5>
di-n-butyl phthalate<84-74-2>
dl-n-octyl phthalate<117-84-0>
dlbenzo(a^h) anthracene<53-70-3>
dichlorobroraomethane<75-27-4>
dichlorodi£luoro»ethane<75-71-8>
dichloromethane<75-09-2>
dieldrin<60-57-l>
diethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
dissolved oxygen
dissolved solids
endosulfan sulfate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulfan -beta< 3321 3-65-9>
endrin aldehyde<7421-f3-4>
endrln<72-20-8>
ethyl benzene<100-41-4>
fecal coliforts
f luoranthene<206-44-0>
fluorene<86-73-7>
heptachlor epo3ilde<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
hexachlorobutadiene<87-68-3>
hexachloiocvclopentadiene<77-!-47-4>
hexachloroethane<67-72-l>
indeno (I,2jr3-cd)pyrene
lead<7439«92-l>
mercury <7439-97-6>
n-nit ro sodi-n-propy lamina
   <621-64-7>
n-nitrosodimethylafflIne<62-7S-9>
n-nitrosodiphenylamine<86-30-6>
naphthalene<91-20-3>
nickel<7440-02-0>
nitrobenzene<98-95-3>
nitrogen<7727-37-9>
oil and grease
oxygen demand
p-chloro~ra-cresol<59-50-7>
PH
pcb-1016 (arochlor 1016)
   <12€74-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorophenol<87-86-5>
phenanthrene<85-01-8>
phenol<108-95-2>
phosphortjs<7723-14-0>
pyrene<129-00-0>
selenium<7782-49-2>
silver<7440-22-4>
suspended solids
tetrachloroethylene<127-18-4>
thalliuB<7440-28-0>
                         1015

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                             Accession No.  9028000905     (cont)

    toluene<108-88-3>                    trichlorofl*iororaethane<75-69-4>
    toxaphene<8001-35-2>                 vinyl chloride<75-01-4>
    tribro«oraethane<7§-25-2>             zinc<7440-66-6>
    trichloroethylene<79-01-6>

-------
                             Accession No.   9028000906

(DQ)  Date of Questionaire: 12*02-82
(SAM)  Name of Data Base of Model:  U.S. Virgin Islands-St.  Thomas,  St.
    Crolx
(ACR)  Acronym of Data Base or Model:  None
(NED)  Media/Subject of Data Base or  Model:  Sediment >Surface water
    ocean
fABS)  Abstract/Overview of Data Base or Model: Data consists of
    station heading/ location/  time/  date/  and parameters  (dissolved
    oxygen/ bacti/   metals/ nutrients) for  water and priority
    pollutants   for sediment samples*  Sampled every five  years-next
    sampling FY 84,
(CTC)  CONTACTS:  Subject natter   R.  Heramett  (201)321-6687  }
    Computer-related  R. Saiith  (
(DTP)  Type of data collection or monitoring:  Ambient data  collection
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances represented in Data Base: 129 307 CHA
(NPP)  Ron-pollutant parameters included in  the data base:  Location
    ^Physical data ^Sampling date ;Site description ^Temperature
(DS)  Time period covered by data base: 03-01-74 TO 11-30-79
(TRH)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: as needed  jQther
    regularly every 5 years
(NOB)  Number of observations in data base:  29520.(Estimated)
(NEI)  Estimated annual increase of observations in data base: 1500.(()6
    00 (samples)  every )5 (years)
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources covered in data  base:  150.
(NCS)  NO. stations or sources currently originating/contributing data:
    0.
(NOF)  Number of facilities covered in data  base (source monitoring): 0.
(GEO)  Geographic coverage of data base: Selected federal region  Region
    II (Virgin Islands)
(LOG)  Data elements identifying location of station or source include;
    State
(FAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant identification data  are: Storet parameter
(Lin)  Limitation/variation in data of which user should be aware:
    1/200 samples to date-90% water samples.
(DPR)  Data collect./anal, procedures conform to ORD guidelines:  Samp1in
    g plan documented Collection method documented ^Analysis method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(ADD)  Lab Audit: Lab audit Is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but are  not
    included in data base
(EDT)  Editting:  Edit procedures used and documented.
(CBY)  Data collected by: Regional office Surveillance  and  Analysis
    Division/ Region II
(ABY)  Data analyzed by: Regional office Surveillance and Analysis
    Division/ Region II
(IDL)  Laboratory Identification: NO
(AUT)  Authorization for data collection: Statutory authorization is  P


                             1017

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                             Accession No.   9028000906     (coot)

    L 92-500 (Clean Water Act-CHA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting fores:
    QQ
(REP)  Form of available reports and outputs of data base:  Unpublished
    reports "U.S. Virgin Islands Ambient Hater Quality"-Surveillance
    and Analysis Division
(NUS)  Number of regular users of data base: 10
(USR)  Current regular users of data base:  EPA regional offices
    Surveillance and Analysis Division, Region II
(CNF)  Confidentiality of data and limits on access: Mo Units on
    access to data
(DLC)  Primary physical location of data: Regional office
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: EPA software STDRET  HIDS:5303000101 >EPA
    hardware IBM 370/168
(CHG)  Direct charge for non-EPA use: yes
CUPDf)  Frequency of data base master file up-date: Other every 5 years
(RSS)  Related EPA automated systems which use data base: STORET
    (Storage and Retrieval of   Hater Quality Data)
(CMP)  Completion of form:
    Billie Jo Johnson
    DFC: EPA/Region II/Survelllance and Analysis Division
    AD: Hoodbridge Ave Edison, N,J. 08817
    PH: (201)321-6713
(DF)  Date of form completion: 01-14-83
(NMAT)  Number of substances represented in data base: 133

       6>                                2-chloroethylvinyl ether<110-75-8>
    1/1,2,2, -tetrachloroethane           2-chloronaphthalene<91-58-7>
       <79-34-5>                         2-chlorophenol<95-57-8>
    l,l,2-trichloroethane<79-00-5>       2-nitrophenol<88-75-5>
    l,l-dichioroethane<75-34-3>          3,3'-dichlorobenzidine<91-94-l>
    l^l-dichloroethylene<75-35-4>        3,4-benzof luoranthene<205-99-2>
    l,2,4^.-trichlorobenzene<120-82-l>    4,4*-ddd         4,4*-dde(p,p'-ddx)<72-5S-9>
    l#2-dichloroethane<107-06-2>         4,4*-ddt<50-29-"3>
    l,2-dichloropropane<78-87-5>         4,6-dinitro-o-cresol<534-52-l>
    l,2-dichloropropylene<563-54-2>      4-bromophenyl phenyl ether
    l,2«diphenylhydra2ine<122-66-7>         <101^55-3>
    l#2-trans-dichloroethylene           4-chlorophenyl phenyl ether
       <156-60-5>                           <7005-72-3>
    l,3-dichlorobenzene<541-73-l>        4-nitrophenol<100-02-7>
    l,4-dichlorobenzene<106-46-7>        acenaphthene<83-32-9>
    2,4,6-trichlorophenol<88-06-2>       acenaphthylene<208-96-8>
    2#4,7#8-tetrachlorodiben2o-p-        acrolein<107*02-8>
       dioxlra (tcdd)                     acrylonltrile<107^13-l>
    2,4-dichlorophenol<120-83-2>         aldrin<309-00-2>
    2,4~dimethylphenol<105^67-9>         anthracene<120-12-7>
    2ff4-dinitropheno1< 51-2 8-5>           antimony<7 440-36-0>
    2#4-dinitrotoluene<121-i4-2>         arsenic<7440-38-2>


                             1018

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                         Accession No.  9028000906
                  (cent)
asb«stos
benzene<71-43-2>
benzidine<92-87«5>
benzo( a) an thracene<56- 55-3>
benzo(a)pyrene<50-32-8>
ben2o(g,h/i)perylene<191-24-2>
benzo(k)fluoranthene<207-08-9>
beryllium<7440-41-7>
bhc (lindane)-gaiUBa
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-del ta<31 9- 86-8>
bis(2-chloroethoxy)fflethane
bis(2~chloroethyl)ether
bis(2-chloroisopropyl) ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis(chloromethyl)ether<542-88-l>
brononethane<7 4-83-9 >
butyl benzyl phthalate<85-68-7>
cadBium<7440-43-9>
carbon tetrachlorlde<56-23-5>
chlordaae< 57*7 4- 9>
chlorobenzene<108-90-7>
chlorodibromoraethane<124-48-l>
chloroethane<75-00-3>
chloroform<67-66-3>
chlororaethane<74-87-3>
chromium<7440-47-3>
chrysene<218-01-9>
copper<7440-50-8>
cyanide<57-12-5>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
dlbenzo(ayh) anthracene<53-70-3>
dichlorobroraoraethane<75-27-4>
dichlorodIfluoromethane<75-71-8>
dichloromethan€<75-09-2>
dieldrin<60-57-l>
diethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
dissolved oxygen
endosulfan sulfate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulf an-beta< 3321 3-65-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylben2ene<100-41-4>
fecal coliforta
fluoranthene<206-44-0>
fluorene<86-73-7>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
hexachlorobuta<3iene<87-68-3>
hexachlorocyclopentadiene<77-47-4>
hex achloroethane< 67-72-l>
indeno (l,2,3-cd)pyrene<193-39-5>
lsophorone<78-59-l>
lead<7439-92-l>
mercury<7439-97-6>
n-nitrosodi-n-propylamine
   <621-64-7>
n-nitrosodimethylamine<62-75-9>
n-nitrosodiphenylamine< 86-30-6>
naphtha lene<91-20-3>
nickel<7440-02-0>
nitrobenzene< 98-95-3>
nutrients
p-chloro-m-crfesol<59-50-7>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 {arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachloroph«nol<87-86-5>
phenanthrene<85-01-8>
phenol<108-95-2>
pyrene<129-00-0>
seleniura<7782-49-2>
silver<7440-22-4>
tetrachloroethylene<127-l 8-4>
thalliun<7440-28-0>
toluene<108-88-3>
total coliform
toxaphene<8001-35-2>
tribrofflonethane<75-25-2>
trichloroethylene<79-01-6>
trichlorofluoronethane<75-69-4>
vinyl chloride<75-01-4>
zinc<7440-66-6>
                         1019

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                             Accession No.   9028000906     (cent)

(CAS)  CAS registry numbers of substances included in data base: 71-55-6
    ; 79-34-5; 79-00-5; 75-34-3; 75-35-4;       120-82-1; 95-50-1;
    107-06-2; 78-87-5; 563-54-2; 122-66-7;  156-60-5;   541-73-1;
    106-46-7; 88-06-2; 120-83-2; 105-67-9;  51-28-5; 121-14-2;
    606-20-2; 110-75-8; 91-58-7; 95-57-8; 88-75-5; 91-94-1; 205-99-2;
    72-55-9;  50-29-3; 534-52-1; lOlrSS-S; 7005-72-3; 100-02-7; 83-32-9;
    208-96-8; 107-02-8; 107-13-1; 309-00-2; 120-12-7; 7440-36-0;
    7440-38-2; 1332-21-4; 71-43-2; 92-87-5; 56-55-3; 50-32-8; 191-24-2;
    207-08-9; 7440-41-7; 58-89-9; 319-84-6; 319-85-7; 319-86-8;
    111-91-1;      111-44-4; 39638-32-9; 117-81-7; 542-88-1; 74-83-9;
    85-68-7;       7440-43-9; 56-23-5; 57-74-9; 108-90-7; 124-48-1;
    75-00-3;  67-66-3;    74-87-3; 7440-47^3; 218-01-9; 7440-50-8;
    57-12-5;  84-74-2; 117-84-0;       53-70-3; 75-27-4; 75-71-8;
    75-09-2;  60-57-1; 84-66-2; 131-11-3;       1031-07-8; 959-98-8;
    33213-65-9; 7421-93-4; 72-20-8; 100-41-4;   206-44-0; 86-73-7;
    1024-57-3; 76-44-8; 118-74-1; 87-68-3;  77-47-4;    67-72-1;
    193-39-5; 78-59-1; 7439-92-1; 7439-97-6; 621-64-7; 62-75-9;
    86-30-6;  91-20-3; 7440-02-0; 98-95-3; 59-50-7; 12674-11-2;
    11104-28-2; 11141-16-5; 53469-21-9; 12672-29-6; 11097-69-1;
    11096-82-5; 87-86-5; 85-01-8; 108-95-2; 129-00-0; 7782-49-2;
    7440-22-4; 127-18-4; 7440-28-0; 108-88-3; 8001-35-2; 75-25-2;
    79-01-6;  75-69-4; 75-01^4; 7440-66-6
(CNM)  Contact name(s): Hewraett^R.;    Archdeacon,B.

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                             Accession No.   9028000907

(DQ)  Date of Questionalre:  12-02-82
(NAM)  Name of Data Base of  Model;  Con da do  Lagoon-San Juan,  Puerto Rico
CACR)  Acronym of Data Base  or Model: Hone
(MED)  Media/Subject of Data Base or Model: Surface water lagoon
CABS)  Abstract/Overview of  Data Base or Model:  Data consists of
    station headings, location, date sampled,  time of day, and
    parameters    (conforms).
(CTC)  CONTACTS: Subject matter   R. Henmett  (201)321-6687   ;     SPA
    Office  Region II  (201)3
(DTP)  Type of data collection or monitoring:  Ambient data collection
(STA)  Data Base status: Operational/ongoing
(HPP)  lion-pollutant parameters included in the  data base: Location
    1Sampling date /Site description
(OS)  Tine period covered by data base: 03-01-74 TO 11-30-79
(TRH)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: as needed ;Other
    generally some sampling  each year
(NOB)  Number of observations in data base: 200.(Estimated)
(NEI)  Estimated annual Increase of observations in data base: 100.
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data base: 8.
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(NOF)  Number of facilities  covered in data base (source monitoring): 0.
(GEO)  Geographic coverage of data base: Geographic region Condado
    Lagoon, Puerto Rico
(LOG)  Data elements identifying location of station or source include:
    State ;City;To«n/township ^Project identifier
(FAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant identification data are: Storet parameter
(LIH)  Limitation/variation  in data of which user should be auare: 100
    samples; lab identification not in machine form.
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Sanplin
    g plan documented ^Collection method documented /Analysis method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit  is satisfactory.
(PRE)  Precision: Precision  and accuracy estimates exist but are not
    included in data base
(EDT)  Edit ting: Edit procedures used and documented.
(CBY)  Data collected by: Regional office Surveillance  and Analysis
    Division, Region II
(ABY)  Data analyzed by: Regional office Surveillance and Analysis
    Division, Region II
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Program evaluation
(PR2)  Secondary purpose of  data collection: Special study
(AOT)  Authorization for data collection: No statutory  requirement:
    Data collection requirement is    Environmental Quality Board of
    Puerto Rico requested ambient monitoring of lagoon  to supplement
    local monitoring
(OMB)  Data collected/ submit ted using OMB-approved EPA  reporting forms:


                             1021

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                             Accession No.  9028000907     (cont)

    QQ
(REP)  Form of available reports and outputs of data base: Unpublished
    reports "Con da do LagoonH-Surveillance And Analysis   Division,
    Region II
(NUS)  Number of regular users of data base: 6
(USR)  Current regular users of data base: EPA regional offices
(CNF)  Confidentiality of data and limits on access: Ho 1inits on
    access to data
(DLC)  Primary physical location of data: Regional office
(OS?)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software STORET  MIDSS5303000101 *EPA
    hardware IBM 370/168
(CHG)  Direct charge for non-EPA use: yes
(UPD?)  Frequency of data base master file up-date: Annually
(RSS)  Related EPA automated systems which use data base: STORE?
    (Storage and Retrieval of   Hater Quality Data)
(CMP)  Completion of form:
    Billle Jo Johnson
    OFC; EPA/Region Il/Survelllance and Analysis Division
    ADi Woodbrldge Ave Edison, HJ
    PH: (201)321-6713
(DF)  Date of form completion: 01-14-83
(NMAT)  number of substances represented in data base: 2
(MAT)  Substances represented in data base;
    fecal coliforn                       total coliform
(CNM)  Contact narae(s): Heianett,R.;    II,R.
(RQR)  Responsible Organization: Region II.Environmental Services
    Division.
                             1022

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                             Accession No.   9028000908

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Puerto Rico Beaches-San Juan
(ACR)  Acronym of Data Base or Model: None
(MED)  Kedia/Subject of Data Base or Model:  Surface water ocean
(ABS)  Abstract/ Over view of Data Base or Model:  Data base consists  of
    station designation    (initial number),  location/ date sampled/
    time of day/ depth/ and parameters identified.
(CTC)  CONTACTS: Subject matter   H. Bennett  (201) 321-6687 ;
    Computer-related  R. Smith  (
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Operational/ongoing
(NPP)  Non-pollutant parameters included in the data base: Location
    ^Physical data ; Sampling date jSite description
(DS)  Time period covered by data base: 03-01-74 TO 11*30-79
(TRM)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: Other As needed:
    basically annually
(NOB)  Number of observations in data base:  1400.(Estimated)
(NEI)  Estimated annual increase of observations in data base:  400.
(INF)  Data base includes: Ran data/observations
(NTS)  Total number of stations or sources covered in data base:  36.
(NCS)  No* stations or sources currently originating/contributing data:
    0.
(NQF)  Number of facilities covered in data base (source monitoring): 0.
(GEO)  Geographic coverage of data base: County/sialler location  San
    Juan/ Puerto Rico
(LOG)  Data elements identifying location of station or source  include:
    state ;City
CFAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant identification data are: Storet parameter
(LIM)  Limitation/variation in data of uhich user should be aware:  700
    samples included in the data base.
(DPR)  Data collects/anal, procedures conform to ORD guidelines:  Samplin
    g plan documented ^Collection method documented ^Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods?  YES
(AUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but are  not
    included in data base
(EOT)  Editting: No knoun edit procedures exist.
(CBY)  Data collected by: Regional office Surveillance and Analysis
    Division/ Region II
(ABY)  Data analyzed by: Regional office Surveillance and Analysis
    Division/ Region II
(IDL)  Laboratory identification: NO
(AOT)  Authorization for data collection; No statutory requirement:
    Data collection requirement is    requested by Puerto Rico
    Environmental Quality Board
(OMB)  Data collected/submitted using OMB-approved EPA reporting  forms:
    QQ
(REP)  Form of available reports and outputs of data base: Unpublished
    reports Surveillance and Analysis Report:  "San Juan Beaches"


                             1023

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                             Accession No.   9028000908     (cont)

    Printouts on request
(NOS)  Number of regular users of data base:  6
(0SR)  Current regular users of data base:  EPA regional offices
(CNF)  Confidentiality of data and Halts on access:  No limits on
    access to data
(DLC)  Primary physical location of data: Regional office
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software STORE!  MIDS:5303000101 ;EPA
    hardware IBM 370/168
(CHG)  Direct charge for non-EPA use: yes
CUPDT)  Frequency of data base master file  up-date:  Annually ;Other as
    requested
(RSS)  Related EPA automated systems which  use data base: STORE!
    (Storage and Retrieval of Hater  Quality Data)
(CMP)  Completion of form:
    Billie Jo Johnson
    OFC: EPA/Region II/Surveillance and Analysis Division
    AD: Hoodbridge Ave, Edison NJ 08817
    Pfl: (201) 321-6713
(DF)  Date of form completion: 01-14-83
(NMAT)  Number of substances represented in data base: 2
(MAT)  Substances represented in data base:
    fecal coliform                       total coliform
(CNN)  Contact name(s): Hemraett/R.;    Smith/R.  ;    Hemmett^R.
(ROR)  Responsible Organization: Region II.Environmental Services
    ^vision.
                             1024

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                             Accession Ho.   9028000909

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Kane of Data Base of  Model:  San Juan,  Puerto Rico Outfalls
(ACR)  Acronym of Data Base  or Model: None
(MED)  Media/Subject of Data Base or Model:  Effluents sewage treatment
    plant outfalls jSurface  water ocean
(ABS)  Abstract/Overview of  Data Base or Model: This data base consists
    of station headings/ locations/ date sampled,,  tine of day/ depth/
    and  parameters identified.
(CfC)  CONTACTS: Subject matter   R. Hemraett  (201)321-6687  ;
    Computer-related  R. Smith  (
(DTP)  Type of data collection or aonitoring: Point source data
    collection seuage treatment plants
(STA)  Data Base status: Operational/ongoing
(NPP)  Non-pollutant parameters included in the data base: Discharge
    points ;Location ;Physical data ^Sampling date ;Site description
(DS)  Time period covered by data base: 02-01-78 TO 11-30-79
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: Other annually
    (generally)
(NOB)  Number of observations in data base:  600.(Estimated)
(NED  Estimated annual Increase of observations in data base: 200-.
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data base: 35.
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(NQF)  Number of facilities  covered in data base (source monitoring):  5.
(GEO)  Geographic coverage of data base: Geographic region San Juan
    area/ Puerto Rico
(LOG)  Data elements identifying location of station or source include:
    State ;City ;Town/township ;Project identifier
(FAC)  Data elements identifying facility include: outfall identified
    only
(CDE)  Pollutant identification data are: Storet parameter
(LIM)  Limitation/variation  in data of which user should be aware: 300
    samples taken; performance samples do not exist for bacti.
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Samplln
    g plan documented ;Collect!on method documented ;Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision  and accuracy estimates exist but are not
    included in data base
(EOT)  Editting: Edit procedures used and documented.
(CBY)  Data collected by: Regional office Surveillance and Analysis
    Division/ Region II
(ABY)  Data analyzed by: Regional office Surveillance and Analysis
    Division/ Region II
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Program evaluation
(PR2)  Secondary purpose of  data collection:  Special study
(AOT)  Authorization for data collection: Statutory authorization is P
    L 92-500 (Clean Water Act)


                             1025

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                             Accession No.   9028000909     (cent)

(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Unpublished
    reports Surveillance and Analysis Division: **San Juan     Outfalls"
    Printouts on request
(NUS)  Number of regular users of data base: 10
(USR)  Current regular users of data base:  EPA Regional Office:  Region
    II
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: Regional office
COST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software STORET  NIDS:5303000101 ;EPA
    hardware IBM 370/168
(CHG)  Direct charge for non-EPA use: yes
(OPDT)  Frequency of data base master file  up-date: Annually
(RSS)  Related EPA automated systems which use data base: STORET
    (Storage and Retrieval of   Water Quality Data)
(CMP)  Completion of form:
    Billie Jo Johnson
    OFC: EPA/Region II/Surveillance and Analysis Division
    AD: fcoodbridge Ave Edison/ NJ 08817
    PH: (201)321-6713
(DF)  Date of form completion; 01-14-83
(NHAT)  Number of substances represented in data base: 2
(HAT)  Substances represented in data base:
    fecal coliform                       total coliform
(CMM)  Contact name(s): HeisroettsR.;    Archdeacon,B-  ;    HemmettsR.
(ROR)  Responsible Organization: Region II.Environmental Services
    Division.
                             1026

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                             Accession No.   9028000910

CDQ)  Date of Questionalre:  12-02-82
(NAM)  Name of Data Base of  Model:  Puerto Rico Reservoirs
(ACR)  Acronym of Data Base  or Model:  Hone
(MED)  Media/Subject of Data Base or Model:  Sediment jSurface water
    reservoirs
(ABS)  Abstract/Overview of  Data Base or Model: Data consists of
    station heading^ location,  sample date,, time of day, and
    parameters for sediment  (priority pollutants, metals).
(CTC)  CONTACTS! Subject matter   Roland Hemmett  (201)321-6687    ;
    Computer-related  Jack S
(DTP)  Type of data collection or monitoring:  Ambient data collection
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented In  Data Base: 129 307 CWA ;15
    metals
(NPP)  Non-pollutant parameters included in the data base:  Location
    ;Sampling date >Site description
(DS)  Time period covered by data base: 03-01-74 TO 12-28-32
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: as needed
(NOB)  Number of observations in data base:  4700.(Estimated)
(NED  Estimated annual increase of observations in data base: 1000.
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data base:  37«
(NCS)  No* stations or sources currently originating/contributing data:
    0.
(NOF)  Number of facilities  covered in data base (source monitoring): 0.
(6EO)  Geographic coverage of data base: Geographic region Puerto Rico
(LOG)  Data elements identifying location of station or source include:
    State ;City Coordinates Latitude and longitude ;Project identifier
(CDE)  Pollutant Identification data are: Storet parameter
(LIM)  Limitation/variation  in data of which user should be aware: Total
    of 50 samples*  No water samples  taken since 1974.  Priority
    pollutants sampled only     in sediment.
(DPR)  Data collect./anal, procedures conform to ORD guidelines:  Samplin
    g plan documented ^Collection method documented ;Analysis method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision  and accuracy estimates exist but are  not
    included in data base
(EOT)  Editting: Edit procedures used and documented.
(CBY)  Data collected by: Regional office Surveillance and Analysis
    Division/ Region II
(ABY)  Data analyzed by: Regional office Surveillance and Analysis
    Division, Region II
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Special study
(AOT)  Authorization for data collection: Statutory authorization is  P
    L 92-500 as amended, Sections 403 and 405 (Clean Water Act-CHA)
(OMB)  Data collected/submit ted using OMB-approved EPA reporting  forms:
    QQ
(REP)  Form of available reports and outputs of data base: Unpublished


                             1027

-------
                             Accession No.   9028000910
                  Ccont)
    reports "Puerto Rico Reservoirs^-Surveillance and    Analysis
    Division.
(NUS)  Number of regular users of data base:  6
(OSR)  Current regular users of data base:  EPA regional offices
(CNF)  Confidentiality of data and limits on access: Ho limits on
    access to data
(DLC)  Primary physical location of data: Regional office
(DST)  Form of data storage: Magnetic disc
(OAC)  type of data access: EPA software STORET  MIDS: 5303000101 ;EPA
    hardware IBM 370/168
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file  up-date:  Other as
    needed-twice in 5 years to date
(RSS)  Related EPA automated systems which  use data  base: STORE!
    (Storage and Retrieval of   Water Quality Date)
(CMP)  Completion of form:
    Billie Jo Johnson
    OFC: EPA/Region II/Surveillance and Analysis Division
    AD: Woodbridge Ave Edison, NJ 08817
    PH: (201)321-6713
(DF)  Date of form completion: 01-14-83
(NMAT)  Number of substances represented in data base:  129
(NCAS)  Number of CAS registry numbers in data base: 134
(MAT)  Substances represented in data base:
    1,1,l-trichloroethane<71-55-
       6>
    If 1,2,2,-tetrachloroethane
       <79-34-5>
    If l,2-trichloroethane<79-00-5>
    1, l-dichloroethane<75-34-3>
    l,l-dichloroethylene<75-35-4>
    l,2,4,-trichlorobenzene<120-82-l>
    l,2-dichlorobenzene<95~50-l>
    l,2-dichloroethane<107-06-2>
    l,2-dichloropropane<78-87-5>
    l,2-dlchloropropylene<563-54-2>
    l,2-diphenylhydrazine<122-66-7>
    1,2-trans-dichloroethylene
       <156-60-5>
    l,3-dichlorobenzene<541-73-l>
    l,4-dlchlorobenzene<106-46-7>
    2,4,6-trichlorophenol<88-06-2>
    2,4,7,8-tetrachlorodibenzo-p-
       dioxin (tcdd)
    2, 4-dichlorophenoKl 20-83- 2>
    2,4-difflethylphenol<105-67-9>
    2,4-dinitrophenol<51-28-5>
    2,4-dinitrotoluene<121-14-2>
    2,6-dinitrotoluene<606-20-2>
    2-chloroethylvlnyl ether<110-75-8>
    2-chloronaphthalene<91-58-7>
    2-chlorophenol<95-57*8>
2-nitrophenol<88-75-5>
3,3'-dichlorobenzidine<91-94-l>
3,4-benzofluoranthene<205-99-2>
4,4'-ddd(p,p'tde)
4,4 »-dde(p,p'-ddx)<72-55-9>
4,4--ddt<50-29-3>
4,6-dinitro-o-cresol<534-52-l>
4-bromophenyl phenyl ether
   <101-55-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
acenaphthene<83*32-9>
acenaphthylene<208-96-8>
acrolein<107-02-8>
acrylonitrile<107-13~l>
aldrin<309-00-2>
anthracene<120-12-7>
antimony<7 440-36-O
arsenic<7440-38-2>
asbestos<1332-21-4>
benzene<71-43~2>
benzidine<92-87-5>
benzo(a)anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
benzo(g,h,i)perylene<191-24-2>
benzo(k)fluoranthene<207-08-9>
berylliu»<7440-41-7>
                             1028

-------
                             Accession No.  9028000910
                  (cont)
    bhc (lindane)-gaimaa<58-89-9>
    bhc-alpha<319-84-6>
    bhc-beta<319-85-7>
    bhc-delta<319-86-8>
    bis(2-chloroethoxy)methane
    bis(2-chloroethyl)ether
    bis(2-chlorotsopropyl) ether
       <39638-32-9>
    bis(2-ethylhexyl)phthalate
    bis(chloromethyl)ether<542-88-l>
    br oraomethane<7 4-83-9>
    butyl benzyl phthalate<85-68-7>
    cadfflium<7440-43-9>
    carbon tetrachlorlde<56-23-5>
    chlordane<57-74-9>
    chlorobenzene<108-90-7>
    chlorodibromonethane
    chloroethane<75-00-3>
    chloroform<67-66-3>
    chloromethane<74-87*3>
    chroniium<7440-47-3>
    chrysene<218-01-9>
    copper<7440-50-8>
    cyanide<57-!2-5>
    di-n-butyl phthalate<84-74-2>
    di-n-octyl phthalate<117-84-0>
    dibenzo(a/h)anthracene<53-70-3>
    dichiorobromomethane<75-27-4>
    dichlorodifluoroaethane<75-71-8>
    dichloronethane<75-09-2>
    dieldrin<60-S7-l>
    diethyl phthalate<84-66-2>
    dimethyl phthalate<131-ll-3>
    endosulfan sulfate<1031-07-8>
    endosulfan-alpha<959-98-8>
    endosulfan-beta<33213-65-9>
    endrin aldehyde<7421-93-4>
    endrin<72-20-8>
    ethylbenzene<100-41-4>
    fluoranthene<206-44-0>
    fluorehe<86-73-7>
    heptachlor epoxide<1024-57-3>
    heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
hexachlorobutadlene<87-68-3>
hexachlorocyclopentadiene<77-47-4
hexachloroethane<67-72-l>
indeno (l,r2,3-cd)pyrene<193-39-5>
lsophorone<78-59-l>
lead<7439-92-l>
oercury<7439-97-6>
n-nitrosodi-n-propylamine
   <621-64-7>
n-nitrosodifflethylaaine<62-75-9>
n-nitrosodiphenylamine<86-30-6>
naphthalene<91-20-3>
nickel<7440-02-0>
nitrobenzene<98-95-3>
p-chloro-m-cresol<59-50-7>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
p en tachlorophenoK 87-86-5>
phenanthrene<85-01-8>
phenol<108-95-2>
pyrene<129-00-0>
seleniuia<7782-49-2>
silver<7440-22-4>
tetrachloroethylene<127-18-4>
thallium<7440-28-0>
toluene<108-88-3>
toxaphene<8001-3§~2>
tribronooethane<7S-25-2>
trichloroethylen®s79-01-6>
trlchlorofluoromethane<75-69-4>
vinyl chloride<75-01-4>
zinc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data base:  71-55-6
    ; 79-34-5; 79-00-5; 75-34-3; 75-35-4;       120-82-1; 95-50-1;
    107-06-2; 78-87-5; 563-54-2; 122-66-7;  156-60-5;   541-73-1;
    106-46-7; 88-06-2; 120-83-2; 105-67-9;  51-28-5; 121-14-2;
    606-20-2; 110-75-8; 91-58-7; 95-57-8; 88-75-5; 91-94-1; 205-99-2;
    72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7;  83-32-9;
    208-96-8; 107-02-8; 107-13-1; 309-00-2; 120-12-7; 7440-36-0;
                             1029

-------
                             Accession No.  9028000910     (cunt)

    7440-38-2; 1332-21-4; 71-43-2; 92-87-5; 56-55-3; 50-32-8; 191-24-2;
    207-08-9; 7440-41-7; 58-89-9; 319-84-6; 319-85-7; 319-86-8;
    111-91-1;      111-44-4; 39638-32-9; 117-81-7; 542-88-1; 74-83-9;
    85-68-7;      7440-43-9; 56-23-5; 57-74-9; 108-90-7; 124-48-1;
    75-00-3; 67-66-3;    74-87-3; 7440-47-3; 218-01-9; 7440-50-8;
    57-12-5; 84-74-2; 117-^84-0;       53-70-3; 75-27-4; 75-71-8;
    75-09-2; 60-57-1; 84-66-2; 131-11-3;       1031-07-8; 959-98-8;
    33213-65-9; 7421-93-4; 72-20-8; 100-41-4;   206-44-0; 86-73-7;
    1024-57-3; 76-44-8; 118-74-1; 87-68-3; 77-47-4;    67-72-1;
    193-39-5; 78-59-1; 7439-92-1; 7439-97-6; 621-64-7; 62-75-9;
    86-30-6; 91-20-3; 7440-02-0; 98-95-3; 59-50-7; 12674-11-2;
    11104-28-2; 11141-16-5; 53469^21-9; 12672-29-6; 11097-69-1;
    11096-82-5; 87-86-5; 85-01-8; 108-95-2; 129-00-0; 7782-49-2;
    7440-22-4; 127-18-4; 7440-28-0; 108-88-3; 8001-35-2; 75-25-2;
    79-01-6; 75-69-4; 75-01-4; 7440-66-6
(CNN)  Contact name(s): Henoett/R.;    Sweeney, J.j    fieiUBett^R*
(ROR)  Responsible Organization: Region II.Environmental Services
    Division.
                             1030

-------
                             Accession No.   9028000911

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Same of Data Base of  Model:  Manasquan Rivet
(ACR)  Acronym of Data Base  or  Model:  None
(MED)  Media/Subject of Data Base or  Model;  Sediment ^Surface
    water-river ^Tissue fish
(ABS)  Abstract/Over view of  Data Base or  Model:  The  data  base  contains
    Hater quality and sediment  data on the  Manasquan River*  Fish
    tissue samples were also collected.
(CTC)  CONTACTS: Subject matter  Roland Heramett,  Chief  Surveillance
    andj     Computer-related  B
(DTP)  Type of data collection  or monitoring: Ambient data collection
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in  Data  Base:  129 307  CMA
(NPP)  Non-pollutant parameters included  in the  data base: Location
    >Sampling data fSite description
(DS)  Time period covered by data base: 02-01-81  TO  12-28-82
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling:  as  needed
(NOB)  Number of observations in data base:  3000{Estiraated)
(NEI)  Estimated annual increase of observations  in  data  base: (N/A)
(INF)  Data base includes: Raw  data/observations
(NTS)  Total number of stations or sources  covered  in data base:  12
(NCS)  No. stations or sources  currently  originating/contributing  data:
    12
(NQF)  Number of facilities  covered In data base  (source  monitoring): 0
(CEO)  Geographic coverage of data base:  County/smaller
    location-Honmouth County
(LOC)  Data elements identifying location of station or source include:
    State /County ;Coordinates-latitude/longitude
(FAC)  Data elements identifying facility Include:  N/A
(CDE)  Pollutant identification data  are: Storet  parameter
(DPR)  Data collect./anal, procedures conform to  ORD guidelines:  Conform
    to ORD QA Guidelines
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit  is  satisfactory
(PRE)  Precision: Precision  and accuracy  estimates  exist  for all
    measurements
(EDT)  Editting: Edit procedures used and documented
(CBY)  Data collected by: State agency-N.J. Dept. of Environmental
    Protection ;Regional office-Region II,   Division
(ABY)  Data analyzed by: Regional office-Region  II,  Environmental
    Services
    Contractor lab-varies with  each analysis
(IDL)  Laboratory identification: YES
(AUT)  Authorization for data collection: No statutory requirement:
    Data collection requirement is to  perform a required number  of
    analysis per year.  Type of analysis      depends on state  of  N.J.
    Department of Environmental Protection's     need.
(OMB)  Data collected/submitted using OMB-approved  EPA reporting  forms:
    QQ
(REP)  Form of available reports and  outputs of  data base: Printouts  on
    request


                             1031

-------
                             Accession No.   9028000911
                  (cont)
(NUS)  Number of regular users of data base:  two agencies
(OSR)  Current regular users of data base:  EPA regional offices
    States
(CNF)  Confidentiality of data and limits on access: No Units on
    access to data
(DLC)  Primary physical location of data: Regional office
(DST)  Form of data storage: STORET
(DAC)  Type of data access: EPA software: STORET
(CHG)  Direct charge for non-HPA use: No
(UPDT)  Frequency of data base master file up-date: Other as necessary
(CMP)  Completion of form:
    Randy Braun
    OFC: USEPA-Region II/Environmental Services Division
    AD: Hoodbridge Avenue, Edison, N.J.  08837
    PH: (201) 321-6692
(DF)  Date of form completion: 01-14-83
(NMAT)  Number of substances represented in data base:  139
(NCAS)  Number of CAS registry numbers in data base: 131
(MAT)  Substances represented In data base:
    It 1,1-trichloroe than e< 71-55-
       6>
    l,l,2,2s-tetrachloroethane
       <79-34-5>
    l,l,2-trlchloroethane<79-00-5>
    Ul-dichloroethane<75-34~3>
    lfl-dichloroethylene<75-35-4>
    l,2,4,-trichlorobenzene<120-82-l>
    l,2-dichlorobenzene<95-50-l>
    l,2-dichloroethane<107^06-2>
    l,2-dichloropropane<78-87-5>
    l,2-dlchloropropylene<563-54-2>
    1,2-diphenylhydrazine<122-66-7>
    1/2-trans-dichloroethylene
       <156-60-5>
    l,3-dichloroben2ene<541-73-l>
    If 4-dichlorobenzene<106-46-7>
    2,4,6-trichlorophenol<88-06-2>
    2^4^7^8-tetrachlorodibenzo-p-
       dioxin (tcdd)
    2^ 4-dichlorophenol<120-83-2>
    2/4-dimethylphenol<105-67^9>
    2/4-dlnitrophenol<51-28-5>
    2/4-dlnitrotoluene<121-14-2>
    2/6-dinitrotoluene<606-20-2>
    2-chloroethylvinyl ether<110-75-8>
    2-chloronaphthalene<91-58-7>
    2-chlorophenol<95-S7-8>
    2-nitrophenol<88-75-5>
    3, 3*-dlchlorobenzidine<91-94-l>
    3/4-benzof luoranthene<205-99-2>
    4/4--ddd(p,p*tde)<72-54-8>
4,4'-ddt<50-29-3>
4,6-dinitro-o-cresol<534-52-l>
4-broraophenyl phenyl ether
   <101-55-3>
4-chlojrophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
Total KJeldajl Nitrogen (TKN)
Total Organic Carbon (TOO
acenaphthene<83-32-9>
acenaphthylene<208-96-3>
acrolein<107-02-8>
acrylonitrile<107-13-l>
aldrin<309-00-2>
aBmonia<7664-41-7>
anthracene<120-12-7>
ant imony<7440-36-0>
arsenic<7440-38-2>
asbestos<1332-21-4>
benzene<71-43-2>
benzidlne<92-87-5>
benzo(a)anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
benzo(k)fluoranthene<207-08-9>
berylliu«<7440-41-7>
bhc (lindane)-gamma<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
bis (2-chloroethoxy) toe thane
                                         bis(2-chlocoethyl)ether
                             1032

-------
                             Accession No.   9028000911
                  (cent)
    bis(2-chloroisopropyl) ether
       <39638-32-9>
    bis(2-ethylhexyl)phthalate
    bis(chloromethyl)ether<542-88-l>
    broEOBethane<74-83-9>
    butyl benzyl phthaiate<85-68-7>
    cadmiura<7440-43~9>
    carbon tetrachloride<56-23-5>
    chlordane<57-74-9>
    chlorobenzene<108-90-7>
    chlorodibromomethane<124-48-l>
    chloroethane<75-00-3>
    chloroforra<67-66-3>
    chloromethane< 74-87- 3>
    chromiuiB<7440-47-3>
    chrysene<218-01-9>
    copper<7440-50-8>
    cyanide<57-12-5>
    di-n-butyl phthalate<84-74-2>
    di-n-octyl phthalate<117-84-0>
    dlbenz o( a* h) anthracene<5 3-7 0-3>
    dichlorobromoiiiethane<75-27-4>
    dichlorodlfluororaethane<75-71-8>
    dichloromethane<75-0 9-2>
    dieldrin<60-57-l>
    die thy 1 phthalate<84-66-2>
    dimethyl  phthalate<131-li-3>
    dissolved oxygen
    endosulfan sulfate<1031-07-8>
    endosulfan-alpha<959-98-8>
    endosulfan-beta<33213-65-9>
    endrin aldehyde<7421-93-4>
    endrin<72-20-8>
    ethylbenzene<100-41-4>
    fluoranthene<206-44-0>
    fluorene<86-73-7>
    heptachlor epoxide<1024-57-3>
    heptachlor<76-44-8>
    hexachlorobenzene<118-74-l>
    hexschlorobutadiene<87-68-3>
    hexachlorocyclopentadiene<77-47-4>
    hexachloroethane<67-72-l>
    indeno (1, 2,3-cd3pyrene<193-39-5>
lead<7439-92-l>
mercury<7439-97-6>
n-nitrosedi-n-propylaraine
   <621-64-7>
n-nitrosodiraethylaaine<62-75-9>
n-nltrosodlphenylaoiine<86-30-6>
naphthalene<91-20-3>
nickel<7440-02-0>
nitrobenzene 98-95- 3>
nitrogen dioxide and nitrate
nitrogen dioxide<10102-44-0>
orthophosphate<14265-44-2>
p-chloro-m-cresol<59-50-7>
PH
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 Carochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 12483
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorophenol<87-86-5>
phenanthrene<85-01-8>
phenol<108-95-2>
pyrene<129-00-0>
seleniura<7782-49-2>
silver<7440-22-4>
tenperature
tetrachloroethylene<127-18-4>
thalliuia<7440-28-0>
toluene<108-88-3>
total phosphate
toxaphen«<8001-35-2>
tribroraomethane<75-25-2>
trichloroethylene<79-01-6>
trichlorofluororaethane<75-69-4>
vinyl chloride<75-01-4>
zinc<7440-66-6>
    isophorone<78-59-l>
(CAS)  CAS registry numbers of substances included in data base:  71-55-6
    ; 79-34-5;  79-00-5; 75-34-3; 75-35-4;       120-82-1; 95-50-1;
    107-06-2;  78-87-5; 563-54-2; 122-66-7;  156-60-5;    541-73-1;
    106-46-7;  88-06-2; 120-83-2; 105-67-9;  51-28-5; 121-14-2;
    606-20-2;  110-75-8; 91-58-7; 95-57-8; 88-75-5; 91-94-1; 205-99-2;
    72-54-8;  72-55-9; 50-29-3; 534-52-1;  101-55-3; 7005-72-3; 100-02-7;
    83-32-9;  208-96-8; 107-02-8; 107-13-1;  309-00-2;  7664-41-7;
                             1033

-------
                             Accession No.  9028000911     (cont)

    120-12-7;      7440-36-0; 7440-38-2; 1332-21-4; 71-43-2; 92-87*5;
    56-55-3; 50-32-8;       191-24-2; 207-08-9; 7440-41-7; 58-89-9;
    319-84-6; 319-85-7; 319-86-8;      111-91-1; 111-44-4; 39638-32-9;
    117-81-7; 542-88-1; 74-83-9; 85-68-7;      7440-43-9; 56-23-5;
    57-74-9; 108-90-7; 124-48-1; 75-00-3; 67-66-3;    74-87-3;
    7440-47-3; 218-01-9; 7440-50-8; 57-12-5; 84-74-2; 117-84-0;
    53-70-3; 75-27-4; 75-71-8; 75-09-2; 60-57^1; 84-66-2; 131-11-3;
    1031-07-8; 959-98-8; 33213-65-9; 7421-93-4; 72-20-8; 100-41-4;
    206-44-0; 86-73-7; 1024-57-3; 76-44-8; 118-74-1; 87-68-3; 77-47-4;
    67-72-1; 193-39-5; 78-59-1; 7439-92-1; 7439-97-6; 621-64-7;
    62-75-9;       86-30-6; 91-20-3; 7440-02-0; 98-95-3; 10102-44-0;
    14265-44-2;    59-50-7; 12674-11-2; 11104-28-2; 11141-16-5;
    53469-21-9; 12672-29-6;       11097-69-1; 11096-82-5; 87-86-5;
    85-01-8; 108-95-2; 129-00-0;    7782-49-2; 7440-22-4; 127-18-4;
    7440-28-0; 108-88-3; 8001-35-2;       75-25-2; 79-01-6; 75-69-4;
    75-01-4; 7440-66-6
(CNM)  Contact name(s): Hemmett,R.;    Smith, 8,
(COR)  Contact organization: Roland Hemmett, Surveillance & Analysis,
(ROR)  Responsible Organization: Region II.Environmental Services
    Division.
                             1034

-------
                             Accession No,   9028000912

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Passaic  River
(ACR)  Acronym of Data Base  or Model:  Hone
(MED)  Media/Subject of Data Base or Model: Sediment /Surface
    water-river /Tissue - fish
(ABS)  Abstract/Overview of  Data Base  or Model: This data base  contains
    water quality and sediment     data on  the Passaic  River.,   Fish
    tissue samples were also   collected.
(CTC)  CONTACTS: Subject matter  Roland Hemmett*  Chief  Environmental
    Svcs. Div.  ;     Computer-related Archdeacon*  Barbara*  Data
    Handler (201) 321-6787  ;  EPA  Office Ronald  Hemmett, Environmental
    Services
(DTP)  Type of data collection or monitoring: Ambient data collection
(GRP)  Groups of substances  represented in  Data Base: 129 307 CWA
(NPP)  Non-pollutant parameters included in the data base: Location
    /Sampling data ;Site description
(DS)  Time period covered by data base: 03-01-81  TO 10-31-81
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling:  as needed
(NOB)  Number of observations in data  base: 160(Estimated)
(NET)  Estimated annual increase of observations  in data base:  (N/A)
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources  covered  in data base:  19
(NCS)  No. stations or sources currently originating/contributing  data:
    19
(NQF)  Number of facilities  covered in data base  (source monitoring): 0
(GEO)  Geographic coverage of data base: Single state New Jersey
(LOG)  Data elements identifying location of station or source  include:
    State ;County ^Coordinates latitude/longitude
(FAC)  Data elements identifying facility include:  Not  applicable
(CDE)  Pollutant identification data are: Storet  parameter
(DPR)  Data collect./anal* procedures  conform to  QRD guidelines:  Conform
    to ORD QA Guidelines
(ANL)  Lab analysis based on EPA-approved or accepted methods?  YES
(AOD)  Lab Audit: Lab audit  is satisfactory
(PRE)  Precision: Precision  and accuracy estimates  exist for all
    measurements
(EOT)  Fditting: Edit procedures used  but undocumented
(CBY)  Data collected by: Regional office-Region  II* Environmental
    Services Div.
(ABY)  Data analyzed by: Regional office-Region  II* Environmental
    Services Div»
(IDL)  Laboratory identification: YES
(AUT)  Authorization for data collection: No statutory requirement:
    Data collection requirement is dependent     on what the state of
    New Jersey feels is needed at that time*  The    state decides what
    types of tests are run.
(OMB)  Data collected/submitted using  OMB-approved  EPA reporting  forms:
    QQ
(REP)  Form of available reports and outputs of  data base: Printouts  on
    request
(USR)  Current regular users of data base:  EPA  regional offices


                             1035

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                             Accession No.   9026000912
                  (cent)
    States
    2 agencies
(CNF)  Confidentiality of data and limits on access: Mo limits on
    access to data
(DLC)  Primary physical location of data: Regional office
(DST)  Form of data storage: STORET
(DAC)  Type of data access: EPA software: STORET
(CHG)  Direct charge for non-EPA use: No
(UPDT)  Frequency of data base master file up-date:  Other as necessary
(CMP)  Completion of form:
    Randy Braun
    OFC: U.S.EPA, Environmental Services Division* Region II
    AD: Woodbridge Avenue, Edison/ N.J.  08837
    PH: (201) 321-6692
                                   <101-55-3>
    i,l,2,2-tetrachloroethane<79-34-5>   4-chlorophenyl phenyl ether
    1/1/2-trichloroethane<79-00-5>
    Ifl-dichloroethane<75-34-3>
    l,l-dichloroethylene<75-35-4>
    i/2,4,-trichlorobenzene<120-82-l>
    l,2-dichlorobenzene<95-50-l>
    1,2-dichloroethane<107-06-2>
    l,2-dichloropropane<78-87-5>
    l,2-dichloropropylene<563-54-2>
    If2-diphenylhydrazlne<122-66-7>
    1, 2-trans-dichloroethylene
       <156-60-5>
    1* 3-dichlorobenzene<541-73-l>
    l/4-dichlorobenzene<106-46-7>
    2,4,6-trichlorophenol<88-06-2>
    2,4,7, 8-tetrachlorodibenzo-p-
       dioxin (tcdd)
    2,4-dichlorophenol<120-83-2>
    2,4-diraethylphenol<105-67-9>
    2,4-dinitrophenol<51-28-5>
    2/4-dinitrotoluene<121-14-2>
    2f6-dini trotoluene<606-20-2>
    2-chloroethylvinyl ether<110-75-8>
    2-chloronaphthalene<91-58-7>
    2-chlorophenol<95-57-8>
    2-nitrophenol<88-75-5>
    3/3'-dichlorobenzidine<91-94-l>
    3^4-benzofluoranthene<205-99-2>
    4,4'-ddd(p/p'tde)<72-54-8>
    4, 4--dde
    4,4*-ddt<50-29-3>
    4,6-dinitro-o-cresol<534-52-l>
   <700S-72-3>
4-nl trophenoK 100-0 2-7>
Total Kjeldahl Nitrogen (TKN)
Total Organic Carbon (TOC)
Total Suspended Solids (TSS)
acenaphthene<83-32-9>
acenaphthy lene<20 8-96-8>
acrolein<107-02-8>
acrylonltrile<107-13-l>
aldrin<309-00-2>
ammonia<7664-41-7>
anthracene<120-12-7>
ant i mony<7 440-36-0>
ars enic<7 440-3 8-2>
asbestos<1332-21-4>
b en zene <7 1 - 43 -2>
benzldine<92-87-5>
benzo(a)anthracene<56-55-3>
benzo (a ) p y rene<50-32-8>
benzo(g,h/i)perylene<191-24-2>
benzo(k)fluoranthene<207-08-9>
beryllium<7440-41-7>
bhc (lindane)*gaffloa<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
bis (2-chloroethoxy) me thane
bis(2-chloroethyl)ether
bis (2-chloroisopropyl) ether
   <39638-32-9>
                             1036

-------
                             Accession No.  9028000912
                  (cont)
    bis (2-ethylhexyi)phtha late
    bis(chloromethyl)ether<542-88-l>
    bromoraethane<74-83-9>
    butyl benzyl phthalate<85-68-7>
    cadnium<7440-43-9>
    carbon tetrachloride<56-23-5>
    chlordane<57-74-9>
    chlorine residuals
    chlorobenzene<108-90-7>
    chlorodibromoiaethane<124-48-l>
    chloroethane<75-00-3>
    chloroforin<67-66-3>
    chloromethane<74-87-3>
    chroraiuin<7440-47-3>
    chrysene<218-01-9>
    copper<7440-50-8>
    cyarlde<57-12-5>
    di-n-butyl phthalate<84-74-2>
    di-n-octyl phthalate<117-84-0>
    dibenzo(a, h) anthracene<53-70-3>
    dichlorobromoraethane<75-27-4>
    dichlorodlfluoroiDethane<75-71-8>
    dichloromethane<75-09-2>
    dieldrin<60-57-l>
    diethyl phthalate<84-66-2>
    dimethyl phthalate<131-ll-3>
    dissolved oxygen
    endosulfan sulfate<1031-07-8>
    endosulfan-alpha<959-98-8>
    endosulfan-beta<33213-65-9>
    endrin aldehyde<7421-93-4>
    endrin<72-20-8>
    ethylben2ene<100-41-4>
    fluoranthene<206-44-0>
    fluorene<86-73-7>
    heptachlor epoxide<1024-57-3>
    heptachlor<76-44-8>
    hexachlorobenzene<118-74-l>
    hexachlorobutadiene<87-68-3>
    hexachlorocyclopentadiene<77-47-4>
    hexachloroethane<67-72-l>
    indeno (1, 2, 3-cd)pyrene<193-39-5>
    isophorone<78-59-l>
    lead<7439-92-l>
n-nitrosodi-n-propylaraine
   <621-64-7>
n-nitrosodimethylamine<62-75-9>
n-nitrosodiphenylamine<86-30-6>
naphtha lene<91-20-3>
nickel<7440-02-0>
nitrobenzene< 98-95-3>
nitrogen dioxide and nitrate
nitrogen dtoxide<10102-44-Q>
orthophosphat@<14265-44-2>
p-H:hloro-ffl-cresol<59-50»7>
PH
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 C arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 C arochlor 1254)
   <11097-69-l>
pcb-1260 ( arochlor 1260)
   <11096-82-S>
p«ntachlorophenol<87-86-5>
phenanthrene<85-01-8>
phenol<108-95-2>
pyrene<129-00-0>
selenium<7782-49-2>
silver<7440-22-4>
temperature
tetrachloroethylene<127-18-4>
thalliura<7440-28-0>
toluene<108-88-3>
total dissolved solids
total phosphate
total solids
toxaphene<8001-35-2>
tribr amorce thane<75-25-2>
trichloroethylene<79-01-6>
trlchlorof luoromethane<7S"69-4>
vinyl chloride<75-01-4>
zlnc<7440-66-6>
    mercury<7439-97-6>
(CAS)  CAS registry numbers of substances included in data base: 71-55-6
    j 79-34-5; 79-00-5; 75-34-3; 75-35-4;       120-82-1; 95-50-1;
    107-06-2? 78-87-5; 563-54-2; 122-66-7; 156-60-5;   541-73-1;
    106-46-7; 88-06-2; 120-83-2; 105-67-9; 51-28-5; 121-14-2;
    606-20-2; 110-75-8; 91-58-7; 95-57-8; 88-75-5; 91-94-1; 205-99-2;
    72-54-8; 72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7;
                             1037

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                             Accession No.  9028000912     (cent)

    83-32-9; 208-96-8; 107-02-8; 107-13-1; 309-00-2; 7664-41-7;
    120-12-7;      7440-36-0; 7440-38-2; 1332-21-4; 71-43-2; 92-87-5;
    56-55-3; 50-32-8;       191-24-2; 207-08-9; 7440-41-7; 58-89-9;
    319-84-6; 319-85-7; 319-86-8;      111-91-1; 111-44-4; 39638-32-9;
    117-81-7; 542-88-1; 74-83-9; 85-68-7;      7440-43-9; 56-23-5;
    57-74-9; 108-90-7; 124-48-1; 75-00-3; 67-66-3;    74-87-3;
    7440-47-3; 218-01-9; 7440-50-8; 57-12-5; 84-74-2; 117-^84-0;
    53-70-3; 75-27-4; 75-71-8; 75-09-2; 60-57-1; 84-66-2; 131-11-3;
    1031-07-8; 959-98-8; 33213-65-9; 7421-93-4; 72-20-8; 100-41-4;
    206-44-0; 86-73-7; 1024-57-3; 76-44-8; 118-74-1; 87-68-3; 77-47-4;
    67-72-1; 193-39-5; 78-59-1; 7439-92-1; 7439-97-6; 621-64-7;
    62-75-9;       86-30-6; 91-20-3; 7440-02-0; 98-95-3; 10102-44-0;
    14265-44-2;    59-50-7; 12674-11-2; 11104-28-2; 11141-16-5;
    53469-21-9; 12672-29-6;       11097-69-1; 11096-82-5? 87-86-5;
    85-01-8; 108-95-2; 129-00-0;    7782-49-2; 7440-22-4; 127-18-4;
    7440-28-0; 108-88-3; 8001-35-2;       75-25-2; 79-01-6; 75-69-4;
    75-01-4; 7440-66-6
CCNM)  Contact name(s)s Heinmett,R.;    Archdeacon,B.
(COR)  Contact organization: Roland Bennetts Environmental Services
(ROR)  Responsible Organization: Region II.Environmental Services
    Division,
                             1038

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                             Accession No.   9038000528

(DQ)  Date of Questionalre:  12-02-82
(NAM)  Name of Data Base of  Model:  National Pollutant Discharge
    Elimination System
(ACR)  Acronym of Data Base  or Model:  NPDES
(MED)  Media/Subject of Data Base or Model: Effluents-  Industrial  &
    Municipal
(ABS)  Abstract/Overview of  Data Base  or Model:  Data Base  consists of
    files containing NPDES applications* permits,  discharge
    monitoriports (DMR's),     inspection reports,  and  correspondence
    regarding uaste aater discharge*
(DTP)  Type of data collection or monitoring:  Point source
(STA)  Data Base status: Presently operarional/ongoing
(GRP)  Groups of substances  represented In Data  Base: 129  307 CHA  >  11
    conventional uater / 41  CHA potential criteria
(NPP)  Ron-pollutant parameters included in the  data base: biological
    data ; compliance data } concentration     measures ; discharge
    points ; flow rates ; industry ; inspection  data J  location  ;
    production levels } sampling date  } temperature ;   treatment
    devices or processes } volume/mass measures
CDS)  Time period covered by data base: 07-71  TO 02-83
 SMSA (standard metropolitan statistical area) j
    city ; town/township > street address } latitude and longitude^
    DTM, or other coordinates- Lat-Lon
(FAC)  Data elements identifying facility include:  Plant or  facility
    name } plant location ;     parent corporation-name  | parent
    corporation-location ; street   address ;  sic cide  ; NPDES number
(CDE)  Pollutant identification data are: Coded, STQRST parameter  codes
    t Urtcoded

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                             Accession No.   9038000528     (cont)

    office ; EPA Lab ; EPA Headquarters
(ABY)  Data analyzed by: Self-reporting ; state agency } regional
    office /  EPA Lab ; EPA Headquarters
(IDL)  Laboratory Identification:  NO
(PR1)  Primary purpose of data collection:  Compliance or enforcement
(PR2)  Secondary purpose of data collection: Other- Peralt appleation
(A0T)  Authorization for data collection: Yes, citation- PL 92-500 308
(OMB)  Data collected/submitted using OMB-approved EPA reporting for IBS:
    Yes: OMB fora number  20000015
(REP)  Form of available reports and outputs of data base: Printouts on
    request ; microfilm
(NOS)  Number of regular users of data base: 50
(USR)  Current regular users of data base:  EPA Headquarters Offices-
    Hater Enforcement }     EPA Regional Offices } EPA Laboratories ;
    States
(CNF)  Confidentiality of data and Units on access: Some data
    confidential, limits on access both     within EPA and outside the
    Agency
(OLC)  Primary physical location of data: Regional Office
(DST)  Form of data storage: Mlcrofiche/Milcroflla ; Original fora,
    Harlcopy,  Readings, etc.
(DAC)  Type of data access: Manually only
(CHG)  Direct charge for non-EPA use: YES
(OpDT)  Frequency of data base master file  up-date: Other- Dally
               3,4-Benzofluoranthene <205-99-2>
    Acenaphthylene <208-96-8>            Benzo(k)  fluoranthene <207^08-9>
    Acrolein   <107-02-8>                Benzo(g,h,i)perylene <191-24-2>
    Acrylonitrile <107-13-1>             BenzoCalpyrene <50-32-8>
    Aldrin <309-00-2>                    Beryllium <7440-41-7>
    Anthracene  <120-12-7>               Bls(2-     chloroethoxy)nethane
    Antimony <7440-36-0>                    <111-91-1>
    Arsenic <7440-38-2>                  Bis(2-chloroethyl)ether
    Asbestos  <1332-21-4>                   
    BHC-.Alpha. <3l9-84-6>               Bls(2-chloroisopropyl)ether
    BHC-.Beta. <319-85-7>                   <39638-32-9>
    BHC (lindane)-.Ganna. <58-89-9>      Bis   (chloronethyl)ether
    BHC-.Delta. <319-86-8>                  <542-88-l>
    Benzene <71-43-2>                    Bis(2-ethylhexyl)phthalate
    Benzidlne <92-87-5>                     <117<-81-7>
    Bsnzo( a) anthracene  <56-55-3>        Brooomethane <74-83-9>


                             1040

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                         Accession No.   9038000528
                  (cont)
4-Bromophenyl phenyl ether
   <101-55-3>
Butyl benzyl phthalate <85-68-7>
Cadmium  <7440-43-9>
Carbon tetrachloride <56-23-5>
Chlordane <57^74-9>
Chlorobenzene <108-90-7>
Chlorodibromomethane   <124-48-l>
Chloroethane <75-00~3>
2-chloroethylvinyl ether
   <110-75-8>
Chloroform <67-66-3>
p-Chloro-ra-cr«sol <59-50-7>
Chloromethane <74-87-3>
2-Chloronaphthalene <91-58-7>
2-Chlorophenol <95-57-8>
4-Chlorophenyl phenyl ether
   <7005-72-3>
Chromium <7440-47-3>
Chrysene <218-01-9>
Copper <7440-50-8>
Cyanide <57-12-5>
4,4'-DDD(p,p*-TDE)   <72-S4-8>
4, 4'-DDE(p,p*-DDX) <72-55-9>
4,4'-DDT 
Di benzola/h3anthracene <53-70-3>
Di-n-butyl phthalate <84-74-2>
1^2-Dichlorobenzene <95-50-l>
1/3-Dichlorobenzene     <541-73-l>
1^4-Dichlorobenzene <106-46-7>
3,3'- Dichlorobenzidine <91-94-l>
Dichlorobroraomethane <75-27-4>
Dichlorodifluoromethane <75-71-8>
1,1-Dichloroethane  <75-34-3>
1,2-Dichloroethane <107-06-2>
1,1-Dichloroethylene   <75-35-4>
1,2-trans-Dichloroethylene
   <156-60-5>
Dicfiloromethane <75-09-2>
2,4 Dichlorophenol <120-83-2>
1/2-Oichloropropane <78-87-5>
1^2-Dichloropropylene <563^54-2>
Dieldrin <60-57-l>
Diethyl phthalate <84-66-2>
2,4-  Diraethylphenol <105-67-p9>
Dlroethyl phthalate <131-ll-3>
4,6-Dinitro-o-cresol <534-52-l>
2,4-Dinitrophenol <51-28-5>
2,4-Dinitrotoluene <121-l4-2>
2,6-Dinitrotoluene <606-20-2>
Di-n-octyl phthalate <117-84-0>
1,2-Diphenylhydrazlne <122-66-7>
Endosulf an-. Alpha, <959-98-8>
Endosulfan-.Beta.     <33213-65-9>
Endosulfan sulfate <1031-07-8>
Endrin <72-20-8>
Endtin aldehyde <7421-93-4>
Ethylbenzene <100-41-4>
Fluor an thene <206-44-0>
Fluorene <86-73-7>
Heptachlor     <76-44-8>
Heptachlor epoxide <1024-57-3>
Hexachlorobenzene     <118-74-l>
Hexachlorobutadiene <87-68-3>
Hexachlorocyclopentadiene
   <77-47-4>
Hexachloroethane  <67-72-l>
Indeno (l,2,3-cd)pyrene <193-39-5>
Isophorone <78-59-l>
Lead <7439-92-l>
Mercury <7439-97-6>
Naphthalene <91-20-3>
Nickel <7440-02-0>
Nitrobenzene <98-95-3>
2-Nitrophenol   <88-75-5>
4-Sitrophenol <100-02-7>
N-Nitrosodifflethylamine <62-75-9>
N-Nitrosodiphenylaraine <86-30-6>
H-Nitrosodi-n- propylaraine
   <621-64-7>
Pentachlorophenol <87-86-5>
Phenanthrene    <85-01-8>
Phenol <108-95-2>
PCB-1016 (Arochlor 1016)
   <12674-ll-2>
PCB-1221 (Arochlor 1221)
   < 111 04-28- 2>
PCB-1232   (Arochor 1232)
PCB-1242 (Arochlor 1242)
   <53469-21-9>
PCB-1248 CArochlor 1248)
   <12672-29-6>
PCB-1254    {Arochlor 1254)
   <11097-69-l>
PCB-1260 (Arochlor 1260)
   <11096-82-5>
Pyrene <129-00-0>
Selenium <7782-49-2>
Silver <7440-22-4>
2,4,7,8-Tetrachlorodibenzo-p-
   dioxln (TCD0)
1,1/2,2-Tetrachloroethane
   <79-34-5>
                         1041

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                             Accession No.   9038000528
                  Ccont)
    Tetrachloroethylene <127-18-4>
    Thallium <744Q-28-0>
    Toluene    <108-88-3>
    Toxaphene <8001-35-2>
    Tribromomethane <75-25-2>
    1,2,4-Trlchlorobenzene <120-82-l>
    1,1,1-Trichloroethane     <71-55-6>
    1,1,2-Trichloroethane  <79-00-5>
    Trichloroethylene   <79-01-6>
    Trichlorofluoromethane <75-69-4>
    2,4/6-    Trichlorophenol
       <88-06-2>
    Vinyl chloride <75-01-4>
    Zinc <7440-66-6>
    Acidity
    Alkalinity
    Dissolved Oxygen
    Dissolved Solids
    Fecal coHform
    Nitrogen <7727-37-9>
    Oil and Grease
    Oxygen demand
    PH
    Phosphorus <7723-14-0>
    Suspended solids Acetone <67^64-l>
    n-alkanes (clO - c30)
    Aluninum <7429-90-5>
    Ammonia <7664-41-7>
    Barium <7440-39-3>
    Biphenyl <92-52-4>
    Bismuth and compounds  <7440-69-9>
    Boron and compounds <7440-42-8>
    Bromine <7726-95-6>
    Chlorine <7782-50-5>
2,4-d acid <94-75-7>
pemeton <8065-48-3>
Dialkyl ethers
Dibenzofuran <132-64-9>
Diphenyl ether     <101-84-8>
Fluorides
Guthion <86-50-0>
Iron <7439-89-6>
Kepone <143-50-0>
Lithium and compounds <7439-93-2>
Malathion  <121-75-5>
Manganese and compounds
   <7439-96-5>
Methoxychlor <72-43-5>
Methyl ethyl ketone (MEK)
   <78-93-3>
Mirex <2385-85-5>
Molybdenum and compounds
   <7439-98-7>
Nitrates/Nitrites
Nitriloacetates
Parathlon <56-38-2>
Phosphorus <7723-14-0>
Polybroroinated biphenyls (PBBS)
Secondary amines
Sodium <7440-23-5>
Styrene <100-42-5>
Sulfates
Sulfides
Terpenes
2f4,5-Trichlorophenoxypropionic
    acid (TP) <93-72-l>
Uranium <7440-61-1>
Vanadium <7440-62-2>
    Cobalt <7440-48-4>
(CAS)  CAS registry numbers of substances included in data base:  83-32*9
    ; 208-96-8; 107-02-8;  107-13-1;    309-00-2; 120-12-7;  7440-36-0;
    7440-38-2;  1332-21-4;  319-84-6;    319-85-7; 58-89-9; 319-86-8;
    71-43-2;  92-87-5; 56-55-3; 205-99-2;      207-08-9; 191-24-2;
    50-32-8;  7440-41-7; 111-91-1;  111-44-4;       39638-32-9;  542-88-1;
    117-81-7; 74-83-9; 101-55-3; 85-68-7;      7440-43-9;  56-23-5;
    57-74-9;  108-90-7; 124-48-1; 75-00-3; 110-75-8;   67-66-3;  59-50-7;
    74-87-3;  91-58-7; 95-57-8; 7005-72-3; 7440-47-3;     218-01-9;
    7440-50-8;  57-12-5; 72-54-8; 72-55-9; 50-29-3; 53-70-3;
    84-74-2;  95-50-1; 541-73-1; 106-46-7; 91-94-1; 75-27-4; 75-71-8;
    75-34-3;  107-06-2; 75-35-4; 156-60-5; 75-09-2; 120-83-2;  78-87-5;
    563-54-2; 60-57-1; 84-66-2; 105-67-9; 131-11-3; 534-52-1; 51-28-5;
    121-14-2; 606-20-2; 117-84-0;  122-66-7;  959-98-8; 33213-65-9;
    1031-07-8;  72-20-8; 7421-93-4; 100-41-4; 206-44-0; 86-73-7;
    76-44-8;        1024-57-3; 118-74-1; 87-68-3; 77-47-4;  67-72-1;
    193-39-5; 78-59-1;    7439-92-1;  7439-97-6^ 91-20-3; 7440-02-0;
    98-95-3;  88-75-5; 100-02-7;      62-75-9? 86-30-6; 621-64-7;
                             1042

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                             Accession No.   9038000528     (cont)

    87-86-5;  85-01-8; 108-95-2;  12674-11-2;   11104-28-2; 11141-16-5;
    53469-21-9; 12672-29-6; 11097-69-1;      11096-82-5; 129-00-0?
    7782-49-2;  7440-22-4; 79-34-5; 127-18-4;   7440-28-0; 108-88-3;
    8001-35-2;  75-25-2;  120-82-1;  71-55-6;  79-00-5;       79-01-6;
    75-69-4;  88-06-2? 75-01-4; 7440-66-6; 7727-37-9; 7723-14-0;
    67-64-1;  7429-90-5;  7664-41-7; 7440-39-3; 92-52-4; 7440-69-9;
    7440-42-8;  7726-95-6; 7782-50-5;  7440-48-4; 94-75-7; 8065-48-3;
    132-64-9; 101-84-8?  86-50-0; 7439-89-6; 143-50-0; 7439-93-2;
    121-75-5; 7439-96-5; 72-43-5;  78-93-3;  2385-85-5; 7439-98-7;
    56-38-2;       7723-14-0; 7440-23-5; 100-42-5; 93-72-1; 7440-61-1;
    7440-62-2
(ROR)  Responsible Organization: Region III.Environmental Services
    Division*
                             1043

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                             Accession No.   9038000901

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Raroe of Data Base of Model: Unleaded Fuel Sampling Program
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model: Other gasoline
(ABS)  abstract/Overview of Data Base or Model:  Lead content of
    unleaded gasoline sold to    consumers  is the subject of the
    contents of this data  base.
(CTC)  CONTACTS: Subject natter   Steve Copeland  (215)597-3989   j
    EPA Office  Robert Krame
(DTP)  Type of data collection or monitoring: Coabination/Other
    gasoline pumps and storage tanks
(STA)  Data Base status: Discontinued
(NPP)  Non-pollutant parameters included in the  data base: Concentration
    measures ?Inspection data /Location ;Sampling date  ;      Site
    description
(DS)  Time period covered by data base: 01-01-75 TO 09-30-79
(TRM)  Termination of data collection: Occurred  09/30/79
(FRQ)  Frequency of data collection or sampling: annually
(NOB)  Number of observations in data base: 4300.(Estimated)
(NEI)  Estimated annual increase of observations in data  base:  0.
(INF)  Data base includes: Rau data/observations
(NTS)  Total number of stations or sources  covered in data base:  4300.
(NCS)  Wo. stations or sources currently originating/contributing data:
    0.
(NOF)  Number of facilities covered in data base (source  monitoring):  43
    00,
(GEO)  Geographic coverage of data base: Selected federal region  Region
    III
(LOG)  Data elements identifying location of station or source  include:
    State ;County ;City ;Town/township ^Street address  ;Project
    identifier
(FAC)  Data elements identifying facility include: Plant  facility name
    iPlant location ^Parent corp naae
(CDS)  Pollutant identification data are: "needed
(LIN)  Limitation/variation in data of which user should  be aware:  None
(DPR)  Data collect./anal, procedures conform to ORD guidelines:  Samplln
    g plan documented ^Collection method documented ;Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods?  YES
(AUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist  but are  not
    included in data base
(EOT)  Fditting: Edit procedures used and documented.
(CBY)  Data collected by: Regional Office Environmental Services
    Division
(ABY)  Data analyzed by: Regional Office Environmental  Services
    Division
(IDL)  Laboratory identification: YES
(PRl)  Primary purpose of data collection:  Compliance or  enforcement
(AUT)  Authorization for data collection: Statutory authorization is P
    L 88-206 as amended, Section 223 (Clean Air     Act-CAA)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting  forms:


                             1044

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                             Accession Mo.   9038000901     (cent)

    QQ
(REP)  Form of available reports and outputs of data base:  ran data
(NUS)  Number of regular users of data base: 1 office
(OSR)  Current regular users of data bases  EPA headquarter  offices
    Mobile Source Division
(CNF)  Confidentiality of data and Halts on access: Mo Units on
    access to data

(CAS)  CAS registry nunbers of substances included in data  base: 7439-92
    -1
(CNM)  Contact nane(s): Copeland,S.    j    Kramer,R.
(ROR)  Responsible Organization: Region III.Environmental Services
    Division.
                             1045

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                             Accession No.   9038000903

(DQ)  Date of Questionaire: 12-02-82
CHAM)  Name of Data Base of Model: State Intensive Survey Files:  MV,
    VA, Wf DE, PA, DC
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model:  Effluents municipal  and
    industrial ;Surface water estuary  stream
CABS)  Abstract/Overview of Data Base or Model:  Intensive survey  data
    that is not stored in STORET     is usually  included in the  States'
    reports on intensive surveys  which must be  conducted to support
    AWT/AST justifications and    Basic Water Monitoring Program.   Most
    used to support 201   grants 
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                             Accession Mo.   9038000903     (cont)

    included in data base
(EDT)  Editting: No known edit procedures exist.
(CBY)  Data collected by: State agency States of Hest Virginia,
    Virginia/. Maryland,  Delaware, Pennsylvanl
(ABY)  Data analyzed by: State agency States of Vest Virginia,
    Virginia, Maryland,   Delaware, Pennsylvania and District of
    Columbia
(IDL)  Laboratory identifications YES
(ADT)  Authorization for data collections statutory authorization is P
    L 92-500 as amended, Sections 106 and 201 (Clean Water Act-CHA),
    Basic Water Monitoring Program
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Unpublished
    reports
(NUS)  fiumber of regular users of data base: 2 EPA Offices, 6 States
(USR)  Current regular users of data bases  SPft regional offices
    States
(CNF)  Confidentiality of data and limits on access: Limits on outside
    access for some data
(DLC)  Primary physical location of data: State agency
(DST)  Form of data storage: Original form (hardcopy, readings)
(DAC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: yes
(UpDT)  Frequency of data base master file up-date: Annually
(RSS)  Related EPA automated systems which use data base: Hater Quality
    Models
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    Hone
(RDB)  Non-EPA data bases used in conjunction with this data base: None
(CMP)  Completion of form:
    John Ruggero
    OFC: EPA/Region Ill/Environmental Services Division/Toxics and
    Hater  Monitoring Section*} AD2 6th and Walnuts St., Philadelphia,
    PA 19106
    PHs (215) 597-9839
(DF)  Date of form completion: 01-14-83
(RCAS)  Number of CAS registry numbers in data base: 2
(MAT)  Substances represented in data base:
    alkalinity                           oxygen demand
    dissolved oxygen                     pH
    dissolved solids                     phosphorus<7723-14-0>
    nitrogen<7727-37-9>
(CAS)  CAS registry numbers of substances included in data base: 7727-37
    -9l 7723-14-0
(CNN)  Contact name(s): John Ruggero
(COR)  Contact organization: Toxics and Mater Monitoring Section,
    Region III
(ROR)  Responsible Organization: Region III»Environmental Services
    Division.
                             1047

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                             Accession No.   9038000904

(DQ)  Date of Questionaire: 12-02-82
(STATUS)  Status of entry:  Inactive
(NAM)  Name of Data Base of Model:  National Air Sampling  Network
(ACR)  Acronym of Data Base or Model: NASH
(MED)  Media/Subject of Data Base or Model: Air
(A8S)  Abstract/Overview of Data Base or Model: Checked operation of
    National Air Sampling   Network (NASH)  sites vhich were run by
    states or  volunteers,,   Wheeling Field  Office (West Virginia)
    collected filters at end of 12  day (one 24 hour run    cycle)*
    weighed them? and sent them to  Research Triangle   Park/  NC.
    35-40 stations in the network collecting    particulate and sulfur
    dioxide level data*
(CTC)  CONTACTS: Subject matter  Dave O'Brien  (215)597-9844;     EPA
    Office  Air Quality Monit
(DTP)  Type of data collection or monitoring:  Ambient data collection
(STA)  Data Base status: Discontinued
(NPP)  Non-pollutant parameters included in the data base: Chemical
    data ;Flou rates ;Locatlon ^Precipitation ;Samp ling date ;    Site
    description ;Volume/mass measures jtime
*DS)  Time period covered by data base: 01-01-76 TO 09-30-79
(TRM)  Termination of data collection: Occurred 09/30/79
(FRO)  Frequency of data collection or sampling: Other every 12 days,
    data collection run for 24 hour continuous period.
(NOB)  Number of observations in data base: 2230.(Estimated)
(INF)  Data base includes:  Raw data/observations
(NTS)  Total number of stations or  sources  covered in data base:  40.
(MCS)  No. stations or sources currently originating/contributing data:
    (N/A.)
(NOF)  Number of facilities covered in data base (source  monitoring): (N
    /A.)
(CEO)  Geographic coverage of data  base: Selected federal region  Region
    III
(LQC)  Data elements identifying location of station or source include:
    State jCounty jCity ;Town/township
(FAC)  Data elements identifying facility Include: N/A
(CDE)  Pollutant identification data are: Saroad parameter
(LiM)  Limitation/variation in data of which user should  be aware: Not
    all stations had sulfur dioxide     (50(2))*  Sulfur  dioxide
    samples processed by     Annapolis.
(DPR)  Data collect./anal, procedures conform to ORD guidelines:  Samplin
    g plan documented ^Collection method documented ^Analysis  method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist  but are  not
    included in data base
(EOT)  Editting: Edit procedures used and documented.
(CBY)  Data collected by: Local agency various agency volunteers  ;State
    agency various agency volunteers
(ABY)  Data analy2ed by: EPA lab Region III Surveillance  and Analysis
    Division, Research Triangle Park and Annapolis Field  Office.
(IDL)  Laboratory identification: YES


                             1048

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                             Accession No.   9038000904     (cont)

(PP1)  Primary purpose of data collection:  Development of regulations
    or standards
(PR2)  Secondary purpose of data collection:  Program evaluation

    hardware UNIYAC 1110
CUPDT)  Frequency of data base master file  up-date: Monthly  OFC:
    EPA/Region Ill/Surveillance and Analysis  Division/Wheeling Field
    AD: 303 Methodist Bldg. llth and Champ line Streets  Wheeling,  WV
    26003     PH:  (304) 923-1049
(DF)  Date of form completion: 01-28-83
(NMAT)  Number of substances represented in data base: 2
(NCAS)  Number of CAS registry numbers in data base: 1
(MAT)  Substances represented in data base:
    sulfur dioxide<7446-09-S>            total suspended particulates
(CAS)  CAS registry numbers of substances included in data  base: 7446-09
    -5
(CKM)  Contact naaje(s): O'Brien/D.
(COR)  Contact organization: Air Quality Monitoring Branch  Region  III
(ROR)  Responsible Organization: Region III»Environmental Services
    Division.
                             1049

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                             Accession No.   9038000905

(D«J)  Date of Questionalre:  12-02-82
(NAM)  Name of Data Base of  Model:  Waste Load Allocation-Model
    Verification
(ACR)  Acronym of Data Base  or Model:  Hone
(NED)  Media/Subject of Data Base or Model:  Effluents municipal  sewage
    treatment plants ^Surface water receiving streams (rl
(ABS)  Abstract/Overview of  Data Base or Models  Data in this  data  base
    is derived from  verifying Haste load allocations and sampling
    river    reach upstream  and doynstream  over  3-4 day periods.
    Three to five different  plants per year-1 time per      plant-Here
    sampled.
  Time period covered by data basei 01-01-77 TO 09-30-79
(TRM)  Termination of data collection: Occurred  09/30/79
(FRQ)  Frequency of data collection or samplings as needed
(NOB)  Kumber of observations In data base: 3426.(Estimated)
(INF)  Data base Includes: Raw data/observations
(KfS)  Total number of stations or sources  covered in data base: 65
    ((approximately)a)
(DCS)  Ko« stations or sources currently originating/contributing  data:
    CN/JU)
(HQF)  Number of facilities  covered in data base (source monitoring): 7*
(GEO)  Geographic coverage of data base: Geographic region West
    Virginia^ Western Pennsylvania^ Southwest  Virginia
(LOG)  Data elements identifying location of station or source include:
    State ?County ^Coordinates latitude/longitude and river Bile points
(FAC)  Data elements identifying facility include: Plant facility  name
    jPlant location jUPDSS
(CDE)  Pollutant identification data are: Storet parameter
(LiM)  Linitation/variation in data of ahich user should be aware: Hone
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Saraplin
    g plan documented jCollection method documented ^Analysis method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit Is satisfactory for  .

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                             Accession No.   9038000905     (cont)

(IDL)  Laboratory identification:  YES
(PR1)  Primary purpose of data collection:  Development of regulations
    or standards
(AUT)  Authorization for data collection:  Statutory authorization  is  P
    L 92-500 Sections 208 and 303  (Clean Hater     Act-CWA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Trip reports
    and tabulated raw data
(NUS)  Number of regular users of  data base: 3
(USR)  Current regular users of data base:  EPA regional offices
    States
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data:  Regional office
(DST)  Form of data storage: Original form  (hardcopy, readings)
(DAC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: no
(OPDT)  Frequency of data base master file  up-date: Other As requested
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    Storage and Retrieval of Hater     Quality Data (STORET)
(RDB)  Non-EPA data bases used in conjunction with this data base: U.S.
    Geological Survey:  Stream Flou Data (if available).
(CMP)  Completion of form:
    John Puggero
    OFC: EPA/Region III/
    Environmental Services Division^   AD:  6th & Halnut St.,
    Philadelphia, PA  19106f    PH: (215)597-9839
(DF)  Date of form completion: 02-24-83
(NMAT)  Number of substances represented in data base: 7
(NCAS)  Number of CAS registry numbers in data base: 12-02-82      1
(MAT)  Substances represented in data base:
    acidity                              nitrogen<7727-37^9>
    alkalinity                           oxygen demand
    dissolved oxygen                     pH
    dissolved solids
(CAS)  CAS registry numbers of substances included in data base: 7727-37
    -9
(CNM)  Contact name(s): Uismer,D.
(COR)  Contact organization: Technical Assistance and Special Program
    Section,
(ROR)  Responsible Organization: Region III.Environmental Services
    Division.
                             1051

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                             Accession No.   9038000910

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Spill Report Date Base
(ACR)  Acronym of Data Base  or Hodel:  WILBUR
(MSD)  Media/Subject of Data Base or Model:  Other  Spills
(ABS)  Abstract/Overwieu of  Data Base  or Model: This data  base  is  a
    record of spills reported to EPA    and  includes information on
    quantity and type of pollutant  spilled,    the  discharger, and  Spill
    Prevention Control and Countermeasure  System  (SPCCS)  Information,
    if appropriate,  WILBUR/ a national  system, is concerned only with
    oil spills; however, Regional     Manual Logs  include  oil and
    hazardous uaste spills*   Data  Regional Logs  are used as input  to
    WILBUR.
(CTC)  CONTACTS! Subject natter  Vivienne  Williams  215-597-4554     }
    Computer-related  Oil
(DTP)  Type of data collection or monitoring: Cooblnation/Qther Spills
(STA)  Data Base status: Operational/ongoing
(NPP)  Non-pollutant parameters included in the data base:  Industry
    ^Location /Volume/mass measures ^pollutant type
(DS)  Tine period covered by data base: 01-01-71 10 09-30-81
(TRM)  Termination of data collection:  Not  anticipated
(FRQ)  Frequency of data collection or sampling: as needed
(HOB)  Number of observations in data  base:  11217.(Actual)
(NED  Estimated annual increase of observations in data base:  1998.
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or  sources  covered in data base: 11217.
(NCS)  No. stations or sources currently originating/contributing  data:
    (N/A.)
(NOF)  Kumber of facilities  covered in data base (source monitoring): (N
    /A.)
(GEO)  Geographic coverage of data  base: Selected  federal  region Region
    III
(LOO  Data elements identifying location of station or source  include:
    State ^County ?City
(FAC)  Data elements identifying facility include: Plant facility  name
    jplant location ;street  address ;case number
(CDE)  Pollutant identification data are: Oncoded
(LIM)  Limitation/variation  in data of which user  should be aware: Hazar
    dous waste spills beginning in  March 1978.  Oil spill data since
    1971.  FY 1980 spills (1820) included
    79.6% oil spills, 6.4% PCB spills, 14%  other hazardous uaste
    spills*  Not all spills  require    lab  analysis. Where required,
    analysis is done by EPA  labs (covered by quality assurance) or
    non-EPA labs (quality assurance     is  covered by a national
    program.)
(EDT)  Edittlng: NO known edit procedures exist.
(CBY)  Data collected by: Self reporting anyone seeing  a spill  or  its
    effects ;Local agency various ones a State agency various ones
    jcitizens seeing spill take place  or its effects
(ABY)  Data analyzed by: Regional office Region III
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Compliance or enforcement
(PR2)  Secondary purpose of  data collection: Program evaluation


                             1052

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                             Accession No.   9038000910      (cont)

(AUT)  Authorization for data collection:  Statutory authorization  is  P
    L 92-500 as amended/ Section 311 (Clean Water  let)  Monitor  against
    Spill Prevention Control and Countermeasure system     (SPCCS)  plan;
    and log phone calls in compliance uith 24 hour access   phone
    required in President's Contingency Plan
(OMB)  Data collected/submitted using OMB-approved EPA  reporting fores:
    QQ
(REP)  Form of available reports and outputs of data base:  Unpublished
    reports Manual Logs of Spills
    Printouts on request
(NUS)  Number of regular users of data base: 2 offices
(USR)  Current regular users of data base:  EPA headquarter offices Oil
    and Special Materials Control Division    (oil portion)
    EPA regional offices
(CNF)  Confidentiality of data and Units on access: Ho  limits on
    access to data
(DLC)  Primary physical location of data:  Regional office ^Headquarters
    office
COST)  Form of data storage: Original fora (hardcopy, readings)
(DAC)  type of data access: EPA software WILBUR (for Spill Prevention
    Control and  Countermeasure System) ;   Manually:  hazardous  waste
    portion
(CHG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base master file up-date: Quarterly
(RSS)  Related EPA automated systems which use data base: Spill
    Prevention Control and  Countermeasure System (SPCCS)
(CMP)  Completion of form:
    Bruce Smith
    OFC: EPA/Region Ill/Environmental Services Division?   AD: 6th &
    Walnut Philadelphia, PA 19106
    PH: (215) 597-9075
(DF)  Date of form completion: 01-28-83
(NHAT)  Number of substances represented in data base:  2
(MAT)  Substances represented in data base:
    oil and grease                       polychlorinated biphenyls (PCBs)
(CNM)  Contact narae(s): 21S,B.P.  ;    Dlvlslon^Q.S.
(COR)  Contact organization: Oil and Special Materials Control Division
(ROR)  Responsible Organization: Region III-Environmental Services
    Division.
                             1053

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                             Accession No.   9038000911

Site  description ;
    Temperature /Physical data
(DS)  Time period covered by data bases 06-01-65 TO 09-30-81
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: monthly >as needed
    >0ther monthly, plus various special studies.
(NOB)  Number of observations in data base: 135000.(Estimated)
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or  sources  covered in data base: 30.
(NCS)  No. stations or sources currently originating/contributing  data:
    22.
(NOF)  Number of facilities covered in data base (source monitoring):  (N
    /A.)
(GEO)  Geographic coverage of data base: Geographic region Potomac
    Estuary
(LOG)  Data elements identifying location of station or source include:
    State ^Coordinates Latitude/longitude
(FAG)  Data elements identifying facility include: N/A
(CDE)  Pollutant identification data are: Storet parameter
    Uncoded
(LIM)  Limitation/variation in data of which user should be  aware: Frequ
    ency of sampling varies year to year?   not  all stations sampled
    each year; light studies in 1978-80,
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Samplin
    g plan documented ;Collection method documented ^Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Auditi Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but are not
    Included in data base    Edit data since 1972 has more complete
    editing and quality control.
(CBY)  Data collected by: EPA lab Central Regional Lab-Region III
(A8Y)  Data analyzed by; EPA lab Central Regional Lab-Region III
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Trend assessment


                             1054

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                             Accession No.   9038000911      (cont)

(AUT)  Authorization for data collection:  Statutory authorization  is P
    L 92-500 as amended (Clean Hater Act-CWA)
COMB)  Data collected/submitted using OMB-approved EPA  repotting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    Technical Reports of Region III, Central Regional   Laboratory
    printouts on request
(NOS)  Number of regular users of data base: 50
(USR)  Current regular users of data base:  EPA regional offices
    EPA laboratories
    Other federal agencies
    States
    research institutes
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data:  EPA lab
                  respiration rate
    oxygen demand                        secchi disk
    pH                                   total carbon (TC)
    phosphorus<7723-14-0>                total coliform
    suspended solids                     total organic  carbon (TOO
    N80D                                 turbidity
(CAS)  CAS registry numbers of substances included in data  base: 7727-37
    -9; 7723-14-0


                             1055

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                             Accession No.   9038000911     (cont)

(CUM)  Contact name(s): Villa/0.  ;    Dlvision/K.D.  ;    Lab,C.R,
(RQR)  Responsible Organization: Region III.Environmental Services
    Division.
                             1056

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                             Accession No.   9038000912

(DQ)  Date of Questionaire:  12-02*82
(NAM)  Name of Data Base of Model:  Delaware River Estuary
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model: Surface water estuary
(ABS)  Abstract/Overview of Data Base or Model:  The Delaware Estuary
    Hater Quality Study Mas a three year   study of nutrients*  oxygen
    demand, and selected physical and     chemical parameters in
    estuarine portion of the river.

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                             Accession No.   9038000912     (cont)

{REP)  Form of available reports and outputs of data base:  Publications
    Technical Reports of Region 111* Central Regional   Lab-
    Printouts on request
(NUS)  Number of regular users of data bases 40
(USR)  Current regular users of data base:  EPA regional offices
    Other federal agencies
    States
    Research Institutions
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: SPA lab
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: EPA software STORET  MIDS:5303000101 >EPA
    hardware IBM 370/168
(CHG)  Direct charge for non-EPA use: no
(OPDT)  Frequency of data base master file  up-date:  Other None - data
    base update terminated
(RDB)  Non-EPA data bases used in conjunction with this data  base:  Resea
    rch Institutions in Delaware  and Chesapeake Bay areas; U.S.
    Geological Survey* Water Resources     Division - National tiater
    Data Storage and Retrieval System (HATSfORE).
(QDB)  Other pertinent non-EPA data bases:  States of Delaware and
    Pennsylvania
(CMP)  Completion of form:
    Dan Donnelly
    OFC: EPA/Region Ill/Central Regional Laboratory-
    Annapolis/Surveillance and Analysis Division
    AD: 839 Bestgate Road, Annapolis, MD 21401
    PHS (301) 224-2740
(DF)  Date of form completion: 01-19-83
(NMAT)  Number of substances represented in data base: 15
(NCAS)  Number of CAS registry numbers in data base: 2
(MAT)  Substances represented in data base:
    dissolved oxygen                     turbidity
    dissolved solids                     biochemical oxygen demand  (BOD)
    fecal coliform                       chlorophyll
    nitrogen<7727-37-9>                  secchi disk
    oxygen demand                        total carbon (TC)
    pH                                   total coliform
    phosphorus<7723-14-0>                total organic carbon (TOO
    suspended solids
(CAS)  CAS registry numbers of substances included in data  base: 7727-37
    -9; 7723-14-0
(CNM)  Contact name(s): Clark,L.  ;    Lab,C.R.  ;    Lab,C.R.

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                             Accession No.   9038000913


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                             Accession No.   9038000913     (cont)

(OMB)  Data collected/ submit ted using OH B~ approved EPA reporting forras:
    QQ - lab sheets used
(REP)  Form of available reports and outputs of data base:  Publications
    technical Reports of Region III, Central Regional   Lab.
    Printouts on request
(NUS)  dumber of regular users of data base: 50
(USR)  Current regular users of data base:  EPA regional offices
    EPA laboratories
    Other federal agencies
    States
    research ins titutes
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: EPA lab
(DST)  Fora of data storage: Magnetic tape
(DAC)  Type of data access: EPA software STORE?  WIDS:5303000101 >EPA
    hardware IBM 370/168
(CHG)  Direct charge for non-EPA use: no
(OpDf)  Frequency of data base master file  up-date: Annuallyeg
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    STORET (Storage and Retrieval of Hater   Quality Data)
(RDB)  Non-EPA data bases used in conjunction with this data  base: Resea
    rch Institutions in Delaware  and Chesapeake Bay area;  U.S.
    Geological Surveys, Water     Resource  Division - National Water
    Data Storage and Retrieval    System (WATSTORE)
(ODB)  Other pertinent non-EPA data bases:  States of Maryland and
    Virginia
(CMP)  Completion of form:
    Dan Donnelly
    OFC: EPA/Region Ill/Central Regional Laboratory-Annapolis/
    Surveillance and Analysis Division
    AD: 839 Bestgate Road Annapolis, MD 21401
    PH: (301) 224-2740
(DF)  Date of form completion! 01-19-83
(NMAT)  Number of substances represented In data base: 16
(NCAS)  Number of CAS registry numbers in data base: 2
(MAT)  Substances represented in data base:
    NBDD
    algal identifications
    dissolved oxygen
    dissolved solids
    fecal coliform
    nitrogen<7727-37-9>
    oxygen demand
    PH
    phosphorus<7723-14-0>
    polonium 210
    respiration rate
    secchi disk
    suspended solids
    total coliform
    total organic carbon (TQC)


                             1060

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                             Accession No.  9038000913     (cont)

    turbidity
(CAS)  CAS registry numbers of substances included in data base: 7727*37
    -9; 7723-14-0
(CNM)  Contact naoie(s): Villa/0.  ;    Couger/S. ;    Lab/C.R.
(ROR)  Responsible Organization: Region III.Environmental Services
    Division.
                             1061

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                             Accession Ho.   9038000914

(DQ)  Date of Questionaire: 12-02-82
(HAM)  Name of Data Base of Model:  Ocean Dumping
(ACR)  Acronym of Data Base or Model:  None
(MED)  Kedia/Subject of Data Base or Model:  Surface water marine
(ABS)  Abstract/overview of Data Base or Model:  Environmental  surveys
    of ocean dump sites off mid-     Atlantic coast of  U.S.  are the
    sources of the contents of this   data base.
(CTC)  CONTACTS: Subject matter   Donald Lear  (301) 224-2746;      EPA
    Office  Region III Philad

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                             Accession No.  9038000914     (cont)

(OMB)  Data collected/submitted using OMB-approved SPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Publications
    Technical Reports of Region III
(NUS)  Number of regular users of data base: 50
(USR)  Current regular users of data base: EPA regional offices
    SPA laboratories
    Other federal agencies
    States
    research institutes
(CNF)  Confidentiality of data and liraits on access: No limits on
    access to data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Original form (hardcopy, readings)
(OAC)  Type of data access: Manually
(CH6)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Annually
(ODB)  Other pertinent non-EPA data bases: Oceanographic Research
    Institutes  in the Middle Atlantic area.
(CMP)  Completion of form:
    Dan Donnelly
    OFC: EPA/Region III/Central Regional
    Labcratory-Annapolis/Surveillance
    and Analysis Division
    AD: 839 Bestgate Road, Annapolis, HD 21401
    PHS (301) 224-2740
(DF)  Date of form completion: 01-19-83
(NMAT)  Number of substances represented in data base: 13
(RCAS)  Number of CAS registry numbers in data base: 9
(MAT)  Substances represented in data base;
    zinc<7440-66-6>                      mercury <7439-97-6>
    cadBiura<7440-43-9>                   niekel<7440-02-0>
    chroraiura<7440-47-3>                  polychlorinated biphenyls (PCBs)
    copper<7440-50-8>                    silver<7440-22-4>
    dissolved oxygen                     total carbon (TC)
    iron<7439-89-6>                      total organic carbon (TOO
    lead<7439-92-l>
(CAS)  CAS registry numbers of substances included in data  base: 7440-66
    -6; 7440-43-9? 7440-47-3; 7440-50-8?   7439-89-6? 7439-92-1;
    7439-97-6; 7440-02-0; 7440-22-4
(CNH)  Contact narae(s): Lear,D.   ;    Philadelphia,R.I.
(ROR)  Fesponsible Organizations Region III.Environmental Services
    Division.
                             1063

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                             Accession No.   9038000915

(DQ)  Date of Questions!re: 12-02-82
(NAM)  Name of Data Base of Model:  Dredging-Special Studies  Metals
(ACR)  Acronym of Data Base or Model: Hone
(MED)  Media/Subject of Data Base or Model:  Sediraent
(ABS)  Abstract/Overview of Data Base or Model:  Elizabeth River  and
    Baltimore Harbor grid sampling     for  metals in sediments.
(CTC)  CONTACTS: Subject matter   P.G. Johnson  (301) 224-2740    j
    EPA Office  Central Regi
(DTP)  Type of data collection or monitoring:  Ambient data collection
(STA)  Data Base status: Discontinued
(MPP)  Non-pollutant parameters included in the  data base: Location
    ; Samp ling date ;Site description ;Test/analysis method
(DS)  Time period covered by data base: 09-01-74 TO 04-30-75
(TRM)  Termination of data collection: Occurred  04/30/75
(FRQ)  Frequency of data collection or sampling: one time only
(NOB)  Number of observations In data base:  2700.(Estimated)
(NED  Estimated annual Increase of observations in data base: 0.
(INF)  Data base Includes: Ran data/observations ;Sunary aggregate
    observations ;Reference data/citations
(NTS)  Total number of stations or sources  covered in data base:  272.
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(NQF)  Number of facilities covered in data base (source monitoring): 0.
(GEO)  Geographic coverage of data base: Geographic region Baltimore
    Harbor; Elizabeth River/Hampton Roads,     Virginia
(LOC)  Data elements identifying location of station or source include:
    State ;maps in reports
(FAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant identification data are: encoded
(LIM)  Limitation/variation in data of which user should be  atiare:  None
(DPR)  Data collect./anal* procedures conform to QRD guidelines:  Saaplin
    g plan documented ^Collection method documented ^Analysis method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(PRE)  Precision: Precision and accuracy estimates exist but are not
    included in data base
(EOT)  Editting: Edit procedures used and documented.
(CBY)  Data collected by: SPA lab Central Regional Lab, Region III
(ABY)  Data analyzed by: EPA lab Central Regional Lab,  Region III
(IDL)  Laboratory Identification: YES
(AUT)  Authorization for data collection: Statutory authorization is  P
    L 95-217 (Clean Water Act of 1977)   Statutory authorization is PL
    91-611 (River and Harbor Act of 1970)
(OMB)  Data collected/submitted using OHB-approvcd EPA reporting forms:
    QQ-laboratory sheets used
(REP)  Form of available reports and outputs of  data base: Publications
    Annapolis Field Office Technical Reports nos. 59 & 61
(BUS)  Number of regular users of data base: 30
(USR)  Current regular users of data base:  EPA regional offices
    Other federal agencies
    States
    research institutes


                             1064

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                             Accession No.   9038000915     (cont)
(CNF)  Confidentiality of data and limits on access:  N> limits on
    access to data
(DLC)  Primary physical location of data: EPA lab
(OST)  Form of data storage:  Original fora (hardcopy,  readings)
(DAC)  Type of data access: Manually
(CflG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base master file up-date:  Other None - study
    completed
(CMP)  Completion of form:
    Dan Donnelly
    OFC: EPA/Region Ill/Central Regional Lab Annapolis/
    Surveillance and Analysis Division
    AD: 839 Bestgate Road Annapolis, HD 21401
    PH: (301)224-2740
(DF)  Date of form completion: 01-19-83
(NMAT)  Number of substances represented in data base:  15
(NCAS)  Number of CAS registry numbers in data base:  11
(MAT)  Substances represented in data base:
    cadmium<7440-43-9>                   nickel<7440-02-0>
    chemical oxygen demand (COD)         oil and grease
    chrcmium<7440-47-3>                  silver<7440-22-4>
    copper<7440-50-8>                    total organic carbon (TOO
    iron<7439-89-6>                      total volatile solids
    lead<7439-92-l>                      trihalonethanes
    manganese<7439-96-5>                 zinc<7440-66-6>
    raercury<7439-97-6>
(CAS)  CAS registry numbers of substances included in data base: 7440-43
    -9; 7440-47-3? 7440-50-8; 7439-89-6;   7439-92-1;  7439-96-5;
    7439-97-6; 7440-02-0; 7440-22-4; 7440-66-6
(CNM)  Contact name(s): Johnson, P. G»   ;    Lab/C.R.
(ROR)  Responsible Organization: Region III* Environmental Services
    Division.
                             1065

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                             Accession No.   9038000916

(DQ)  Date of Questionaire: 12-02-82
(HAM)  Name of Data Base of Model:  Drinking Water Special  Study
(ACR)  flcronym of Data Base or Model:  SOCIT1ES
(MED)  Media/Subject of Data Base or Model; Drinking Hater
(ABS)  Abstract/overview of Data Base or Model:  Safe Drinking Mater  Act
    (SDWA) inorganic     parameters for 50  largest cities  in Eastern
    half of    Region III.   Finished Hater  from  distribution
    systems.
(CTC)  CONTACTS:  Subject matter   Ortoria Villa,  Jr.  (301)224-2740
    ;     EPA Office  Central
(DTP)  Type of data collection or monitoring:  Point source data
    collection drinking water distribution  systems
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances represented in  Data  Base: 21 drinking water
    standards
(NPP)  Non-pollutant parameters included in the  data base: Location
    ;Sairpling date ;Site description
(DS)  Time period covered by data base: 09-01-75 TO 06-30-76
(TRM)  Termination of data collection: Occurred  06/30/76
(FRQ)  Frequency of data collection or sampling:  one tine  only
(NOB)  Number of observations in data base: 650.(Actual)
(NEI)  Estimated annual increase of observations in data base: 0.
(INF)  Data base includes:  Raw data/observations
(NTS)  Total number of stations or sources  covered in data base:  50.
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(NOF)  Number of facilities covered in data base (source monitoring):  (N
    /A,)
(GEO)  Geographic coverage of data base: Selected federal  region  Region
    IIKeastern half)
CLOC)  Data elements identifying location of station or source include:
    State /City ; Town/township ;Street address
(FAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant identification data are: Storet parameter
(LIM)  Limitation/variation in data of which user should be aware: None
(DPR)  Data collect,./anal, procedures conform to ORD guidelines:  Samplin
    g plan documented ;Collection method documented ;Analysis method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but are  not
    included in data base
(EDT)  Editting: Edit procedures used and documented.
(CBY)  Data collected by: SPA lab Central Regional Lab, Region III
(AB?)  Data analyzed by: EPA lab Central Regional Lab,  Region III
(IDL)  Laboratory identification: YES
(AUT)  Authorization for data collection: Statutory authorization is P
    L 93-523 as amended (Safe Drinking Water  Act-SHDA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting  forms:
    QQ
(REP)  Form of available reports and outputs of  data base: Lab report
    forms


                             1066

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                             Accession No.   9038000916     (cent)

(NUS)  Number of regular users of data base:  2
(OSR)  Current regular users of data base;  EPA laboratories
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
                   microbiology coliform bacteria
    bariuiR<7440-39-3>                    nitrate<14797-55-8>
    cadnium<7440-43-9>                   residual chloride
    chromium<7440-47-3>                  seleniuffl<7782-49-2>
    fluoride                             silver<7440-22-4>
    lead<7439-92-l>                      turbidity
    mercury<7439-97-6>
(CAS)  CAS registry numbers of substances included in data bases  7440-38
    -2; 7440-39-3? 7440-43-9; 7440-47-3;   7439-92-1; 7439-97-6;
    14797-55-8; 7782-49-2; 7440-22-4
(CNM)  Contact name(s): Vllla,Q.  ;    Lab,C.R.
(ROR)  Responsible Organization; Region III.Environmental Services
    Division.
                             1067

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                             Accession No.   9038010902

(DQ)  Date of Questioaaire:  12-02-82
(HAM)  Name of Data Base of Model:  National Pollutant Discharge
    Elimination System (NPDES)   Permit Compliance
(ACR)  Acronym of Data Base or  Model:  NPDES
(MED)  Media/Subject of Data Base or Model: Effluents industrial  and
    municipal ;Surface water receiving
(ABS)  Abstract/Over view of Data Base or Model:  Data from  compliance
    inspections of discharging    facilities comprise the NPDES data
    base.
(CTC)  CONTACTS: Subject matter   Orterio Villa, Jr. (301)  224-2740
    }     Computer-related  N
(DTP)  Type of data collection  or monitoring:  Combination/Other
    effluents and receiving stream
(STA)  Data Base status: Operational/ongoing

    Treatment devices ;Volume/mass measures
(DS)  Time period covered by data base: 09-01-74 TO 12-31-82
(TRM)  termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: as needed
(NOB)  Number of observations in data base: 15000.(Estimated)
(INF)  Data base includes: Raw  data/observations
(NTS)  Total number of stations or sources covered in data base:  650.
(NCS)  No. stations or sources  currently originating/contributing data:
    (not available*)
(NQF)  Number of facilities covered in data base (source Monitoring): 19
    0.
(GEO)  Geographic coverage of data base: Selected federal  region  Region
    III
(LOG)  Data elements identifying location of station or source include:
    State ;City >Town/township  ;street address ^Project Identifier
(FAC)  Data elements identifying facility include: Plant facility name
    ;Plant location ;NPDES
(CDE)  Pollutant identification data are: Storet parameter
(LIM)  Limitation/variation in  data of which user should be  aware: Param
    eters vary from site to site.  Frequency is   irregular and depends
    on program needs of Enforcement Division.
(DPR)  Data collect./anal, procedures conform to ERD guidelines:  Collect
    ion method documented ^Analysis method documented ;QA  procedures
    document
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit is  satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but are  not
    included in data base
(EDT)  Editting: Edit procedures used and documented.
(CBY)  Data collected by: Regional office Central Regional
    Lab-Annapolis, Surveillance and Analysis Division Region III
(ABY)  Data analyzed by: Regional office Central Regional


                             1068

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                             Accession No.   9038010902     (cont)

    Lab-Annapolis,    Environmental Services Division,  Region III.
(IDL)  Laboratory identifications  YES
(PR!)  Primary purpose of data collection:  Compliance  or enforcement
(AUT)  Authorization for data collections  statutory authorization  is P
    L 92-500 as amended, Sections  308 and 402 {Clean Water Act-CHA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Facility
    Inspection Reports
(NDS)  Number of regular users of  data bases 157
(USR)  Current regular users of data base:  EPA regional offices
    States
    permittees
(CNF)  Confidentiality of data and Units on access: No limits on
    access to data

    dissolved oxygen                     lead<7439-92-l>
    dissolved solids                     mercury<7439-97-6>
    fecal collforra                       nickel<7440-02-0>
    nitrogen<7727-37-9>                  phenols
    oil and grease                       sulfur and compounds
    oxygen demand                        titanium<7440-32-6>
    pH                                   vanadium<7440-62-2>
    phosphorus<7723-14-0>                ammonia<7664-41-7>
    suspended solids                     benzene<71-43-2>
    arsenic<7440-38-2>                   chlorine
    beryllium                               <7782-50-5 nitrate<14797-55-8>
       <7440-41-7 chromiura<7440-47-3>    sulfates
    copper<7440-50-8>                    sulfides
    cyanides
(CAS)  CAS registry numbers of substances included in  data base: 7727-37
    -9; 7723-14-0; 7440-38-2; 7440-41-7;   7440-50-8;  7439-89-6;


                             1069

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                             Accession Ho.   9038010902     (cent)

    7439-92-1;  7439-97^6; 7440-02-0; 7440-32-6;     7440-62-2;
    7664-41-7;  71-43-2; 7782-50-5
CCMM)  Contact  nane(s): ViHa,Q.  ;    Lab,C.R.
(RQR)  Responsible Organization: Region III.Environmental Services
    Division.
                             1070

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                             Accession No.   9038010906

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Same of Data Base of  Model: Priority Pollutants
(ACR)  Acronym of Data Base  or Model: None
(MED)  Media/Subject of Data Base or Model: Effluents municipal and
    industrial ;Sediment /Surface water rivers }    Tissue fish and
    shellfish

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                         Accession No.  9038010906
                                                           (cont)
(PR1)  Primary purpose of data collection:  Development of regulations
    or standards
(PR2)  secondary purpose of data collection: Risk assessment
(AUT)  Authorization for data collection: Statutory authorization is P
    L 92-500, Section 307 (Clean Hater Act-CHA)
(OMB)  Data collected/ submit ted using OMB- approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  On-line
    computer
    Lab Data Sheets
(NUS)  Number of regular users of data base: 6
(USR)  Current regular users of data base:  EPA headquarter offices
    Effluent Guidelines Division
    States
(CNF)  Confidentiality of data and 1 in its on access: Limits on access
    within EPA and outside agency for some  data
(DLC)  Primary physical location of data: EPA lab ;Headquarters office
(DST)  form of data storage: Magnetic tape ; Original form (hardcopy,
    readings)
(DAC)  Type of data access: Manually JEPA software STQRET
    MIDS:5303000101 ;EPA hardware IBM 370/168
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Annuallyna
(CMP)  Completion of form:
    Dan Donnelly
    OFC: EPA/Region Ill/Central Regional Lab-Annapolis/Surveillance and
    Analysis Division
    AD: 839 Bestgate Road, Annapolis, MD 21401
    PH: (301) 244-2740
(OF)  Date of form completion: 01-28-83
(NMAT)  Number of substances represented in data base: 134
(NCAS)  Number of CAS registry numbers in data base: 129
(MAT)  Substances represented In data base:
l/l/l-trichloroethane<71-55-
   6>
1,1, 2/ 2,-tetrachloroethane
   <79-34-5>
l,l,2-trichloroethane<79-00-5>
l,l-dichloroethane<75-34-3>
l,l-dichloroethylene<75-35-4>
l,2,4,-trichlorobenzene<120-82-l>
1, 2-dichlorobenzene< 95-50-l>
l,2-dichloroethane<107-06-2>
l,2-dichloropropane<78-87-5>
l,2-diphenylhydrazine<122-66-7>
1, 2-trans-dichloroethylene
   <156-60-5>
l,3-dichlorobenzene
l,3-dichloropropylene<542-75-6>
It 4-dichlorobenzene<106-46-7>
2, 4,6-trlchlorophenol<88-06-2>
                                         2,4,7,8-tetrachlorodibenzo-p-
                                            dloxln (tcdd)
                                         2,4~dlchlorophenol<120-83-2>
                                         2,4-dimethylphenol<105-67-9>
                                         2,4-dinitrophenol<51-28-5>
                                         2,4-dinitrotoluene<121-14-2>
                                         2,6-dinitrotoluene<606-20-2>
                                         2-chloroethylvinyl ether<110-75-8>
                                         2-chloronaphthalene<91-58-7>
                                         2-chlorophenol<95-57-8>
                                         2-nitrophenol<88-75-5>
                                         3,3'-dichlorobenzidine<91-94-l>
                                         3/4-benzof luoranthene<205-99-2>
                                         4,4'-ddd(p,p*tde)
                                         4,4'^dde(p,p'-ddx)<72-55-9>
                                         4,4'-ddt<50-29-3>
                                         4,6-dinitro-o-cresol<534-52-l>
                                         4-bromophenyl phenyl ether
                                            <101-55-3>
                             1072

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                         Accession No.  9038010906
                  (cont)
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
acenaphthene<83-32-9>
acenaphthylene<208-96-8>
acrolein<107-02-8>
acrylonitrile< 107-13-1>
aldrin<309-00-2>
anthracene<120-12-7>
antimony<7440-36-0>
arsenic<7440-38-2>
asbestos<1332-21-4>
benzene<71-43-2>
benzidine<92-87-5>
benzo(a)anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
benzo(g/h.,i)perylene<191-24-2>
benzo(k)fluoranthene<207-08-9>
beryllium<7440-41-7>
bhc 
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
biological oxygen demand (BOD)
bis (2-chloroethoxy)me thane
bis(2-chloroethyl)ether
bis(2-chloroisopropyl) ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis(chloromethyl)ether<542-88-l>
broB!omethane<74-83-9>
butyl benzyl phthalate<85-68-7>
cadmium<7440-43-9>
carbon tetrachloride<56-23-5>
chemical oxygen demand (COD)
chlordane<57-74-9>
chlorobenzene<108-90~7>
chl arodibrom0aiethane<124-48-l>
chlvroethane<75-00-3>
chloroform<67-66-3>
chloromethane<74-87-3>
chromiura<7440-47-3>
chrysene<218-01-9>
color analysis
copper<7440-50-8>
cyanide<57-12-5>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
dibenzo
dichlorobromoniethane<75-27-4>
dichlorodifluoroaethane<75-71-8>
dichloroisetharte<75-09-2>
dieldrin<60-57-l>
diethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
endosulfan sulfate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylbenzene<100-41-4>
fluoranthene<206-44-0>
fluorene<86-73-7>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hex achlorobenzene< 118-7 4-l>
hexachlorobutadiene<87-68-3>
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
indeno (l,2,3-cd)pyrene<193-39-5>
isophorone<78-59-l>
lead<7439-92-l>
mercury <7439-97-6>
n-nitrosodi-n-propylaraine
   <621-64-7>
n-nitrosodimethylaraine<62-75-9>
n-nitrosodiphenylaraine<86-30-6>
naphthalene<91-20-3>
nickel<7440-02-0>
nitrobenzene<98-95-3>
p-chloro-m-cresol<59-50-7>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29~6>
pcb-1254 (arochlor 1254)
   <11097~69-1>
pcb-1260 (arochlor 1260)
   <11096«82-5>
pentachlorophenol<87-86~5>
phenanthrene< 85-01-8>
phenol<108-95-2>
pyrene<129-00-0>
selenium<7782-49-2>
silver<7440-22-4>
suspended solids
                         1073

-------
                             Accession Mo*  9038010906     Ccont)

    tetrachloroethyiene<127-i8-4>        tribroraoraethane<75-25-2>
    thallium<7440-28-0>                  trIchloroathyiene<79-01-6>
    toUiene<108-88-3>                    trichlorof luororaethane<75-69-4>
    total coliforia                       vinyl chIoride<75-01-4>
    toxaphene<8001-35-2>                 2lnc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data base: 71-55-6
    - 79-34-5- 79-00-5; 75-34-3? 75-35-4?       120-82-1; 95-50-1;
    107-06-2; 78-87-5; 122-66-7; 156-60-5; 541-73-1;   542-75-6;
    106-46-7; 88-06-2; 120-83-2; 105-67r9; 51-28-5; 121-14-2;
    606-20-2; 110-75-8; 91-58-7; 95-57-0; 88-75-5; 91-9.4-1; 205-99-2;
    72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7; 83-32-9;
    208-96-8; 107-02-8; 107-13-1; 309-00-2; 120-12-7; 7440-36-0;
    7440-38-2; 1332-21-4; 71-43-2; 92-87-5; 56-55-3; 50-32-8; 191-24-2;
    207-08-9; 7440-41-7; 58-89-9; 319-84-6; 319-85-7; 319-86-8;
    111-91-1;      111-44-4; 39638-32-9; 117-81-7? 542-88-1; 74-83-9;
    85-68-7;      7440-43-9; 56-23-5; 57-74-9? 108-90-7; 124-48-1;
    75-00-3; 67-66-3;    74-87-3; 7440-47-3; 218-01-9; 7440-50-8;
    57-12-5; 84-74-2; 117-84-0?       53-70-3; 75-27-4; 75-71-8;
    75-09-2; 60-57-1; 84-66-2; 131-11-3;       1031-07-8; 959-98-8;
    33213-65-9; 7421-93-4; 72-20-8; 100-41-4;   206-44-0; 86-73-7;
    1024-57-3; 76-44-8; 118-74-1; 87-68-3; 77-47-4;    67-72-1;
    193-39-5; 78-59-1; 7439-92-1; 7439-97-6; 621-64-7; 62-75-9;
    86-30-6; 91-20-3; 7440-02-0; 98-95-3; 59-50-7; 12674-11-2;
    11104-28-2; 11141-16-5; 53469-21-9; 12672-29-6; 11097-69-1;
    11096-82-5; 87-86-5; 85-01-8; 108-95-2; 129-00-0; 7782-49-2;
    7440-22-4; 127-18-4; 7440-28-0; 108-88-3; 8001-35-2; 75-25-2;
    79-01-6; 75-69-4; 75-01-4; 7440-66-6
(CUM)  Contact naroe(s); Villa,0«  ;    Div.,S.&. ;    Lab,C.R.
(ROR)  Responsible Organizations Region III.Environmental Services
    Division.
                             1074

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                             Accession No-   9038010907

(DQ)  Date of QuestionaireS  12-02-82
(NAM)  Name of Data Base of Model:  Hazardous and Toxic  bastes
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model:  Effluents leachates ;Ground
    water ;Sedlment ;Soil ^Surface uater streams

-------
                             Accession No.  9038010907     (cont)

    Division Annapolis     Lab
    Contractor lab nationally contracted labs (HQ contract)
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection: Compliance or enforcement
(PR2)  Secondary purpose of data collection: Risk assessment
(AUT)  Authorization for data collection: Statutory authorization is P
    L 92-500 as amended* Section 311 (CHA)    Statutory authorization
    is P L 94-580 as amended (RCRA 3001)     Statutory authorization is
    P L 94-469 as amended (TSCA)
(OMB)  Data collected/submitted using OMB-approved SPA reporting forms:
    QQ
(REP)  form of available reports and outputs of data base:  lab data
    reports
(NUS)  Number of regular users of data base; 8
(USR)  Current regular users of data base: SPA headquarter  offices Oil
    and Special Materials Control Division,   Office of Enforcement
    EPA regional offices
    EPA laboratories
    States
    other federal agencies - Department of Justice
(CNF)  Confidentiality of data and limits on access: Some data
    confidential-limits on access both  within and outside  the Agency
(DLC)  Primary physical location of data: Regional office
(DST)  Form of data storage: Original form (hardcopy, readings)
CDAC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Other as needed
(RDB)  Non-EPA data bases used in conjunction with this data base: contr
    actor lab data; state    agency data    OFC: EPA/Region
    Ill/Surveillance and Analysis     Division/Central Regional Lab AD:
    839 Bestgate Rd, Annapolis, MD 21401     ?H: (301) 224-2760
(DF)  Date of form completion: 01-28-83
(NMAT)  Number of substances represented in data base: 136
(HCAS)  number of CAS registry numbers in data base: 142
(MAT)  Substances represented in data base:
    l,l,l-trichloroethane<71-55-         2,4,6-trichlorophenol<88-06-2>
       €>                                2,4,7,8-tetrachlorodibenzo-p-
    1,1,2,2^-tetrachloroethane              dioxin (tcdd)
       <79-34-5>                         2,4-dichlorophenol<120-83-2>
    l,l,2-trichloroethane<79~00-5>       2,4-dimethylphenol<105-67-9>
    l,l-dichloroetbane<75-34-3>          2(r4-dinitrophenol<51-28-5>
    lfl-dichloroethylene<75-3S-4>        2,4-dinitrotoluene<121-14-2>
    l*2^4,-trichlorobenzene<120-82-l>    2,6-dinitrotoluene<606-20-2>
    l/2-dichlorobenzene<95-SO-l>         2-chloroethylvinyl ether<110-75-8>
    l,2-dichloroethane<107-0€-2>         2-chloronaphthalene<91-58-7>
    l,2-dichloropropane<78-87-5>         2-chlorophenol<95-57-8>
    lr2-diphenylhydrazine<122-66-7>      2-nitrophenol<88-75-5>
    If 2-trans-dichloroethylene           3,3*-dichlorobenzidine<91-94-l>
       <156-60-5>                        3,4-benzofluoranthene<205-99-2>
    l,3-dichlorobenzene<541-73-l>        4/4"-dcld(pJrp*tde)
    If 3-dlchloropropylene<542-75-6>      4,4*-dde(p,,p*-ddx)<72-55-9>
    l,4~dichlorobenzene<106-46-7>        4r4*-ddt<50-29-3>


                             1076

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                         Accession No.   9038010907
                  (cont)
4, 6-dinitro-o-cresoK534-52-l>
4-bromophenyl phenyl ether
   <101-55-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-ni tropheno 1< 100- 02-7>
acenaphthene<83-32-9>
aceraphthylene<208-96-8>
acrclein<107-02-8>
accylonitrile<107-13-l>
aldrin<309-00-2>
anthracene<120-12-7>
antlmony<7440-36-0>
arsenic<7440-38-2>
asbestos<1332-21-4>
barium<7440-39-3>
benzene<71-43-2>
benzidine<92-87-5>
benzo(a)anthracene<56-55-3>
ben2o(a)pyrene<50-32-8>
benzo(g,h,i)perylene<191-24-2>
benzo(Jc)f luoranthene<207-08-9>
berylliura<7440-41-7>
bhc (lindane)-garama<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
bis(2-chloroethoxy)aethane
bis(2-chloroethyl)ether
bis(2-chlorolsopropyl) ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis(chloromethyl)ether<542-88-l>
broraomethane<74-83-9>
butyl benzyl phthalate<85-68-7>
cadBiuro<7440-43-9>
carbon tetrachloride<56-23-5>
chlordane<57-74-9>
chlorobenzene<108-90-7>
chlorodibromomethane<124-48-l>
chloroethane<75-00-3>
chloroforo<67-66-3>
chloco»ethane<74-87-3>
chromlum<7440-47-3>
chrysene<218-01-9>
cobalt<7440-48-4>
copper<7440-50-8>
cyanide<57-12-5>
di-n-butyl phthalate<84-74-2>
dl-n-octyl phthalate<117-84-0>
dlbenzo(a,h)anthracene<53-70-3>
dlchlorobroffloraethane<75-27-4>
dlchlorodlfluoromethane<75-71-8>
dichloroiethane<75-09-2>
dieldrin<60-57-l>
diethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
endosulf an sulf ate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulf an-beta<332!3-65-9>
endrin aldehyde<7421-93-4>
endrln<72-20-8>
ethylbenzene<100-41>4>
fluoranthene<206-44-0>
fluorene<86-73-7>
heptachlor apoxide<1024-57-3>
heptachlor<76-44-8>
hex achlorobenzene
hexachloiobutadlene<87-68«3>
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
indeno (l/2/3-cd)pyrene<193-39-5>
lron<7439-89-6>
isophorone<78-59-l>
lead<7439-92-l>
manganese<7439-96-5>
•eccury<7439-97-6>
n-nltrosodi-n-propylamlne
   <621-64-7>
n-nitrosodifflethylamlne<62-75-9>
n-nltrosodlphenylaiDine<86-30-6>
naphthalene<91-20-3>
nlckel<7440-02-0>
nitrobenzene<98-95-3>
organic GC/MS scans for slgnlfican
   t organics
p-chloro-m-cresol<59-50-7>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorophenol<87-86-5>
                         1077

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                             Accession Ho.  9038010907     Ccont)

    phenanthrene<85-01-8>                toluene<108-88-3>
    phenol<108-95-2>                     toxaphene<8001-35-2>
    pyrene<129-00-0>                     tribromoBethane<75-25-2>
    seleniunK7782-49-2>                  trichioroethylene<79-01-6>
    silver<7440-22-4>                    trlchlorofluoromethane<75-69-4>
    tetrachloroethylene<127-18-4>        vanadium<7440-62-2>
    thalliujn<7440-28-0>                  vinyl chloride<75-01-4>
    titanium<7440-32-6>                  zinc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data base: 71-55-6
    ; 79-34-5; 79-OQ-S; 75-34-3; 75-35-4;       120-82-1; 95-50-1;
    107-06-2; 78-87-5; 122-66-7; 156-60-5; 541-73-1;   542-75-6;
    106-46-7; 88-06-2; 120-83-2; 105-67-9; 51-28-5; 121-14-2;
    606-20-2; 110-75-8; 91-58-7; 95-57-8; 88-75-5; 91-94-1; 205-99-2;
    72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7; 83-32-9;
    208-96-8; 107-02-8; 107-13-1; 309-00-2; 120-12-7; 7440-36-0;
    7440-38-2j 1332-21-4; 7440-39-3; 71-43-2; 92-87-5; 56-55-3;
    50-32-8;       191-24-2; 207-03-9; 7440-41-7; 58-89-9; 319-84-6;
    319-85-7; 319-86-8;      111-91-1; 111-44-4; 39638-32-9; 117-81-7;
    542-88-1; 74-83-9; 85-68-7;      7440-43-9; 56-23-5; 57-74-9;
    108-90-7; 124-48-1; 75-00-3; 67-66-3;    74-87-3; 7440-47-3;
    218-01-9; 7440-48-4; 7440-50-8; 57-12-5; 84-74-2;      117-84-0;
    53-70-3; 75-27-4; 75-71-8; 75-09-2; 60-57-1; 84-66-2;
    131-11-3; 1031-07-8; 959-98-8; 33213-65-9; 7421-93-4; 72-20-8;
    100-41-4; 206-44-0; 86-73-7; 1024-57-3; 76-44-8; 118-74-1; 87-68-3;
    77-47-4; 67-72-1; 193-39-5; 7439-89-6; 78-59-1; 7439-92-1;
    7439-96-5;      7439-97-6; 621-64-7; 62-75-9; 86-30-6; 91-20-3;
    7440-02-0; 98-95-3;   59-50-7; 12674-11-2; 11104-28-2; 11141-16-5;
    53469-21-9; 12672-29-6;       11097-69-1; 11096-82-5; 87-86-5;
    85-01-8; 108-95-2; 129-00-0;    7782-49-2; 7440-22-4; 127-18-4;
    7440-28-0; 7440-32-6; 108-88-3;       8001-35-2; 75-25-2; 79-01-6;
    75-69-4; 7440-62-2; 75-01-4; 7440-66-6
(CNM)  Contact narae
-------
                             Accession Ho.   9038010909

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Drinking Mater
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Pedia/Subject of Data Base or Model: Drinking water  ;Ground
    water ^Sediment ;Soil ^Surface  water intake
(ftBS)  Abstract/Overview of  Data Base  or Model: Data from studies  to
    define contamination problems of   water and sources  of
    contamination are contained in  this data    base*
(CTC)  CONTACTS:  Subject matter  Orterio Villa, Jr. (301) 224-2740
    ;     EPA Office  Region
(DTP)  Type of data collection or monitoring;  Coabination/Other
    Ambient/ Point source (treated  and untreated wells    distribution
    systems) and  non-point source.
(STA)  Data Base  status: Operational/ongoing
(GRP)  Groups of  substances  represented in  Data Base: 129 307  CWA  ;21
    drinking water standards ;9 potential drinking water /  29  drinking
    water monitoring
(NPP)  Non-pollutant parameters included in the data base:  Location
    ^Physical data ; Samp ling date jSite description ^Temperature }
    Test/analysis method
CDS)  Time period covered by data base: 06-01-78 TO 12-31-82
(TRM)  Termination of data collection: Hot  anticipated
(FRO)  Frequency  of data collection or sampling: as needed
CNQB)  Number of  observations in data  base: 4500.(Estimated)
(NEI)  Estimated  annual increase of observations in data base: 1000.
(INF)  Data base  includes: Raw data/observations
(NTS)  Total number of stations or  sources  covered in data  base: 350.
(NCS)  No. stations or sources currently originating/contributing  data:
    (M/A.)
(NOF)  Number of  facilities  covered in data base (source monitoring): (N
    /A.)
(GEO)  Geographic coverage of data  base: Selected  federal region Region
    III
(LOG)  Data elements identifying location of station or  source include:
    State ;City ;Town/township jstreet address
(FAC)  Data elements identifying facility include: Plant facility  name
    jPlant location
(CDE)  Pollutant  identification data are: Uncoded
(LiM)  Limitation/variation  in data of which user  should be aware:  Param
    eters vary from site to  site.  Sampling frequency is irregular  and
    depends on program needs.
(DPR)  Data collect./anal, procedures  conform to QRO guidelines: Collect
    ion method documented ^Analysis method  documented ;QA procedures
    document
(AND  Lab analysis based on EPA-approved or accepted methods? YES
UUD)  Lab Audit: Lab audit  is satisfactory.
(PRE)  Precision: Precision  and accuracy estimates exist but are not
    included in data base
(EDT)  Editting:  Edit procedures used  and documented.
(CBY)  Data collected by: Regional  office Environmental  Services
    Division, Central     Regional  Lab-Annapolis,  Region III
(ABY)  Data analyzed by: Regional office Environmental  Services


                             1079

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                             Accession No.  9038010909      (cont)

     Division/  Central    Regional Lab-Annapolis/ Region III
 (IDL)   Laboratory  identification: YES
 (AOT)   Authorization for data collection: Statutory  authorization  is P
     L  93-523 as  amended  (Sale Drinking Water  Act-SDWA)
 (OMB)   Data collected/submitted using OMB-approved EPA reporting forms:
     QQ
 (REP)   Form of available reports and outputs of data base:  Renos and
     lab data sheets
 (NDS)   Number  of regular users of data base: 50 or over
 l,l,2-tetrachloroethane<63         chloroben2ene<108-90-7>
        0-20-6>                          chloroform<67-66-3>
     l,l,l-trichloroethane<71-55-6>       chromium<7440-47-3>
     l,l,2-trichloroethane<79-00-5>       cls-l,2-dichloroethylene<156-59-2>
     l,2-dichlorobenzene<9S-50-l>         dichlorolodomethane<594-04-7>
     l,2-dichloroethane<107^06-2>         endrin<72-20-8>
     If2-trans-dichloroethylene           fluoride
        <156-60-5>                        lead<7439-92-l>
     l,3-dichlorobenzene<541-73-l>        lindane<58-89-9>
     l,4-dichlorobenzene<106-46-7>        mercury<7439-97-6>
     2
        4-d)<94-75-7>                     microbiology collform bacteria
     arsenic<7440-38-2>                   nitrate<14797-55-8>
     barium<7440-39-3>                    seleniura<7782-49-2>
     bromodichlororaethane<75-27-4>        silver<7440-22-4>
     cadfliiun<7440-43-9>                   silvex<93-72-l>
     carbon tetrachloride<56-23-5>        tetrachloroethylene<127-18-4>


                             1080

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                             Accession No.   9038010909     (cont)

    toxsphene<8001-35-2>                 trihalomethanes
    tribromomethane<75-25-2>             turbidity
    trichloroethylene<79-01-6>           vinyl chloride<75-01-4>

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                             Accession  So.   9038020902

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base  of  Models  Permit Compliance  Monitoring
(ACR)  Jcronyra of Data Base  or Model; NPDES
(MED)  Media/Subject of Data Base or  Models  Effluents municipal and
    industrial ;Surface water receiving stream
(ABS)  Abstract/Overview  of  Data Base or Model:  Data  from  compliance
    inspections of     discharging facilities.   Parameter  information,
    as     contained in permittee's National Pollutant   Discharge
    Elimination System (NPDES) permit/-  is    also included.
(CTC)  CONTACTS;  Subject  matter   Len Mangiaracina  (215)597-4564  ;
    SPA Office  Enforcement
(DTP)  Type of data collection or monitoring: Point source data
    collection municipal  & industrial effluents
(SfA)  Data Base status?  Operational/ongoing
(GRP)  Groups of substances  represented in Data  Base: 11 conventional
    water ;41 CHA potential  criteria  ;1S metals
(NPP)  Non-pollutant parameters included in  the  data  base: Chemical
    data ^Discharge points ;Floy rates  ^Inspection data ;     Location
    ^Sampling date ?Site  description
CDS)  Time period covered by data bases 09-01-74 TO 09-30-81
(TRM)  Termination of data collections  Hot anticipated
(FRQ)  Frequency of data  collection or  sampling: annually
(NOB)  Number of observations in data base:  4664.(Estimated)
(NEI)  Estimated annual Increase of observations in data base: 242.
(INF)  Data base includes: Ray data/observations
(NTS)  Total number of stations or sources covered in data base: 341
(NCS)  No. stations or sources currently originating/contributing  data:
    17.
(NOF)  Number of facilities  covered in  data  base (source monitoring):  34
    1.
(GEO)  Geographic coverage of data base: Selected federal  region Region
    III
(LOC)  Data elements identifying location of station  or source include:
    State ^County jCity ;Toun/tounship  ^Coordinates latitude/longitude
(FAC)  Data elements identifying facility  include: Plant facility  name
    ;Plant location ;NPDES
(CDE)  Pollutant identification data  are:  Storet parameter
(LIM)  Limitation/variation  in data of  which user should be  aware: None
(DPR)  Data collect./anal, procedures conform to ORD  guidelines: Samplin
    g plan documented ^Collection method documented ^Analysis method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved  or accepted methods? YES
(AUD)  Lab Audit; Lab audit  Is satisfactory  for  90.
(PRE)  Precision: Precision  and accuracy estimates exist but  are not
    included in data base
(EDT)  Editting: Edit procedures used and  documented.
(CB¥)  Data collected bys R«gional office  Surveillance  and Analysis
    Division, Kneeling Field Office,  Region  III
(ABV)  Data analyzed by:  Regional office Surveillance and  Analysis
    Division-Wheeling Field  Office, Region III
CIDL)  Laboratory identification: YES
(PR!)  Primary purpose of data collection: Compliance or enforcement


                             1082

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                             Accession Ho.   9038020902     (cont)

(ADT)  Authorization for data collection: Statutory authorization  is P
    L 92-500 as amended. Section 308 and 402  (Clean Water Act-CUA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: EPA form
    3560-3
    data tabulated
(NUS)  Kumber of regular users of data base: 150
(USR)  Current regular users of data base:  EPA headquarter offices
    Water Enforcement Division
    EPA regional offices
    industrial and municipal facilities
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: Regional office
(DST)  Form of data storage: Original form  (hardcopy, readings)
(DAC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base master file  up-date: Other as requested
(RSS)  Related EPA automated systems which  use data base: Permit
    Compliance System (PCS)-    analytic
(CMP)  Completion of form:
    Robert Cantor
    OFC: EPA/Region Ill/Surveillance and Analysis
    Division/Wheeling Field Office
    AD: 303 Methodist Bldg. Wheeling, WV 26003
    PH: (304)233-1271
(OF)  Date of form completion: 11-06-80
(NMAT)  Number of substances represented in data base: 29
(NCAS)  Number of CAS registry numbers in data base: 16
(HAT)  Substances represented in data base:
    acidity                              lead<7439-92-l>
    alkalinity                           raanganese<7439-96-5>
    aluffiinura<7429-90-5>                  mercury<7439-97-6>
    ammonia<7664-41-7>                   nickel<7440-02-0>
    arsenic<7440-38-2>                   nitrates/nitrites
    ben2ene<71-43-2>                     nitrogen<7727-37-9>
    ca<3mium<7440-43-9>                   oil and grease
    carbon tetrachloride<56-23-5>        oxygen demand
    chroraium<7440-47-3>                  pH
    copper<7440-50-8>                    phosphorus and compounds
    dissolved oxygen                        <7723-14-0>
    dissolved solids                     phosphorus<7723-14-0>
    fecal coliform                       sulfates
    fluorides                            sulfides
    iron and compounds<7439-89-6>        suspended solids
(CAS)  CAS registry numbers of substances included in data base: 7429-90
    -5; 7664-41-7; 7440-38-2; 71-43-2?     7440-43-9; 56-23-5;
    7440-47-3; 7440-50-8; 7439-89-6; 7439-92-1;       7439-96-5;
    7439-97-6; 7440-02-0; 7727-37-9; 7723-14-0; 7723-14-0
(CNH)  Contact narae(s): Manglaracina,L.
(COR)  Contact organization: Enforcement Division, Region III


                             1083

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                             Accession No.   9038020902     (cont)

(RQR)  Responsible Organization:  Region III.Environmental Services
    Division.
                             1084

-------
                             Accession No.   9038020906

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Ambient  Priority Pollutant  Program
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model: Sediment ^Surface  water
    rivers and streams ;Tissue fish
(ABS)  Abstract/Overview of Data Base  or Model:  this data base contains
    concentrations of    priority pollutants in  navigable Haters  to
    determine   possible problem areas and  sources.
(CTC)  CONTACTS: Subject natter   John Ruggero  (215)597-98391     SPA
    Office  Larry Siller  (21
(DTP)  Type of data collection or monitoring:  Ambient data collection
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances represented in  Data  Base: 129 307  CWA
(NPP)  Eon-pollutant parameters included In the  data base:  Chemical
    data ^Concentration measures ^Inspection data ;Location ;
    Sampling date ;Site description
(DS)  Time period covered by data base: 05-01-78 10 10-31-81
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: annually jas  needed
(NOB)  Number of observations in data  base: 5160.(Estimated)
(NEI)  Estimated annual increase of observations in data base: 1290.
(INF)  Data base includes: Ra« data/observations
(NTS)  Total number of stations or sources  covered in data base:  40.
(NCS)  No. stations or sources currently originating/contributing data:
    10.
(NOF)  Kuinber of facilities covered in data base (source monitoring): 0,
(CEO)  Geographic coverage of data base: Selected federal region  Region
    III
(LOG)  Data elements identifying location of station or source Include:
    State ;County ^Coordinates latitude/longitude; river mile  point ;
    name of river
(FAC)  Data elements identifying facility Include: N/A
(CDS)  Pollutant identification data are: Storet parameter
(LiM)  Limitation/variation in data of which user should be aware:  None
(DPR)  Data collect./anal, procedures  conform to CRD guidelines:  Sanplin
    g plan documented ;Collection method documented ^Analysis  method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but are  not
    included in data base
(EOT)  Editting: Edit procedures used  and documented.
(CBY)  Data collected by: Regional office Surveillance  and Analysis
    Division, Wheeling Field Office/ Region III
(ABY)  Data analyzed by: Regional office Surveillance and Analysis
    Division, Wheeling     Field Office/ Region  III
(IDL)  Laboratory Identification: YES
(PR1)  Primary purpose of data collection:  Trend assessment
(PR2)  Secondary purpose of data collection: Risk assessment
(AOT)  Authorization for data collection: Statutory authorization is  P
    L 92-500 as amended/ Section 104 (Clean Water  Act-CWA)
(OMB)  Data collected/submitted using  OMB-approved EPA  reporting  forms:


                             1085

-------
                             Accession So.  9038020906
                  Ccont)
    QQ
(REP)  Form of available reports and outputs of data base: raw data
    tabulated

    IfIf2f2f-tetrachloroethane
       <79-34-5>
    l#l#2-trichloroethane<79-00-5>
    l/l-dichloroethane<75-34-3>
    1,1-dichloroethylene<75-35-4>
    If2f4f-trichlorobenzene<120-82-1>
    l,2-dichlorobenzene<95-50-l>
    l,2-dichloroethane<107~06-2>
    It2~dichloropropane<78-87-5>
    l,2-dichloropropylene<563-54-2>
    l,2-diphenylhydrazine<122-66-7>
    1^.2-trans-dichloroethylene
       <156-60-5>
    If3-dichlorobenzene<541-73-l>
    1^ 4-dichlorobenzene<106-46-7>
    2f 4,6-tr ichlorophenoK 88-06-2>
    2f4fyfB-tetrachlorodibenzo-p-
       dioxin (tcdd)
    2f4-dichlorophenol<120-83-2>
    2f4-di mthylpheno1<105-67-9>
    2t 4-dinitrophenol<51-28-5>
    2,4-dinitrotoluene<121-14-2>
    2,6-dinitrotoluene<606-20-2>
    2-chloroethylvinyl ether<110-75-8>
    2-chloronaphthalene< 91-S8-7>
    2-chlorophenol<95-57-8>
2-nitrophenol<88-75-5>
3(r3*»dichlorobenzidine<91-94-l>
3,4-benzofluoranthene<205-99-2>
4,4*-ddt<50-29-3>
4^6-dinitro-o-cresol<534-52-l>
4-bromophenyl phenyl ether
   <101-55-3>
4-chl or o phenyl phenyl ether
   <7005-72-3>
4-nitrophenol< 100-02-7>
acenaphthene<83-32-9>
acenaphthylene<208-96-8>
acrolein<107-02~8>
acrylonitrile<107-13-l>
aldrin<309-00-2>
anthracene<120-12-7>
antiaony<7440-36-0>
arsenic<7440-38-2>
asbestos<1332-21-4>
benzene<71-43-2>
benzidine<92-87-5>
i>enzo(a)anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
benzo(g,b*i)perylene<191-24~2>
benzo(k)fluoranthene<207-08-9>
ber yl liu«<7440-41-7>
                             1086

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                             Accession No.   9038020906
                  (cent)
    bhc (liadane)-gamraa< 58-89- 9>
    bhc-alpha<31 9-84-6>
    bhc-beta<3!9-85-7>
    bhc-delta<319-86-8>
    bis<2-chloroethoxy)rae thane
    bIs(2-chloroethyl)ether
    bis(2-chloroisopropy 1) ether
       <39638-32-9>
    bis (2- ethy Ihexyl )phtha late
    bis(chloromethyl)ether<542-88-l>
    bro«oraethane<74-83-9>
    butyl benzyl phthalate<85-68-7>
    cadmiUB!<7440-43-9>
    carbon tetrachlortde<56-23-5>
    chlordane<57-74-9>
    chlorobenzene<108-90-7>
    chlorodibromoinethane<124-48-l>
    chloroethane<75-00-3>
    chloroform<67-66-3>
    chloromethane<74-87-3>
    chromium<7440-47-3>
    chrysene< 218-0 l-9>
    copper<7440-50-8>
    cyanide<57-12-5>
    di-n-butyl phthalate<84-74-2>
    di-n»octyl phthalate
    dlbenzo(a,h)anthracene<53-70-3>
    dichlorobrofflomethane<75-27-4>
    dichiorodifluorowethane<75-71-8>
    dichlorome thane<75-09-2>
    dieldrin<60-57-l>
    diethyl phthalate<84-66-2>
    dimethyl pht ha late<131-ll-3>
    endosulfan sulfate<1031-07-8>
    endosulf an-alpha<959-98-8>
    endosul£an-beta<33213-65-9>
    endrin aldehyde<7421-93-4>
    endrin<72-20-8>
    ethylbenzene
    fluoranthene<206-44-0>
    fluorene<86-73-7>
    heptachlor epoxide<1024-57-3>
    heptachlor<76-44-8>
hexachlorob8nzene<118-74-l>
hexachlorobutadiene<87-68-3>
hexachlorocyclopentadiene<77-47-4
hex achloroethane<67-72-l>
Indeno <1^2,3-cd)pyrene<193-39-5>
isophorone<78-59-l>
lead<7439-92-l>
mercury <7439-97-6>
n-nit roscdi-n-propy lamine
   <621-64-7>
n-nit rosodiaie thy laro In e< 62-75-9>
n-nit rosodiphenylaffline<86-30-6>
naphthalene<91-20-3>
nickel<7440-02-0>
nitrobenzene<98-95-3>
p-chloro-o-cresol<59-50-7>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorophenol<87-86-5>
phenanthrene<85-01-8>
phenol<108-95-2>
pyrene<129-00-0>
seleniuiB<7782-49-2>
silver<7440-22-4>
tetrachloroethylene<127-18-4>
thalliura<7440-28-0>
tol uene <10 8-8 8-3>
toxaphene<8001-35-2>
tribromOHiethane<75-25-2>
trichloroethylene<79-01-6>
trichlorofluoronethane<75-69-4>
vinyl chloride<75-01-4>
zinc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data base:  71-55-6
    ? 79-34-5;  79-00-5; 75-34-3; 75-35-4;       120-82-1; 95-50-1;
    107-06-2;  78-87-5;  563-54-2; 122-66-7;  156-60-5;   541-73-1;
    106-46-7;  88-06-2;  120-83-2; 105-67^9;  51-28-5; 121-14-2;
    606-20-2;  110-75-8; 91-58-7; 95-57^8; 88-75-5; 91-94-1; 205-99-2;
    72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7; 83-32-9;
    208-96-8;  107-02-8; 107-13-1; 309-00-2; 120-12-7; 7440-36-0;
                             1087

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                             Accession No.  9038020906     (cent)

    7440-38-2; 1332-21-4; 71-43-2; 92-87-5; 56-55-3; 50-32-8; 191-24-2;
    207-08-9; 7440-41-7; 58-89-9; 319-84-6; 319-85-7; 319-86-8;
    111-91-1;      111-44-4; 39638-32-9; 117-81-7; 542-88-1; 74-83-9;
    85-68-7;      7440-43-9; 56-23-5; 57*74-9; 108-90-7; 124-48-1;
    75-00-3; 67-66-3;    74-87-3; 7440-47-3? 218-01-9} 7440-50-8;
    57-12-5; 84-74-2; 117*84-0;       53-70-3; 75-27-4; 75-71-8;
    75-09-2; 60-57-1; 84-66-2;  131-11-3;       1031-07-8; 959-98-8;
    33213-65-9; 7421-93-4; 72-20-8; 100-41-4;   206-44-0; 86-73-7;
    1024-57-3; 76-44-8; 118-74-1; 87-68-3; 77-47-4;    67-72-1;
    193-39-5; 78-59-1; 7439-92-1; 7439-97-6; 621-64-7; 62-75-9;
    86-30-6; 91-20-3; 7440-02-0; 98-95-3; 59-50-7; 12674-11-2;
    11104-28-2; 11141-16-5; 53469-21-9; 12672-29-6; 11097-69-1;
    11096-82-5; 87-86-5; 85-01-8; 108-95-2; 129-00-0; 7782-49-2;
    744C-22-4; 127-18-4; 7440-28-0; 108-88-3; 8001-35-2; 75-25-2;
    79-01-6; 75-69-4; 75-01-4;  7440-66-6
(CjjM)  Contact name(s): Ruggero,J.;    Miller,L.
(ROR)  Responsible Organization: Region III.Environmental Services
    Division*
                             1088

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                             Accession No.   9038020907

(DQ)  Date of Questionaire:  12-02-82
(RAM)  Name of Data Base of  Model:  Resource  Conservation  and  Recovery
    Act (RCRA)-  Hazardous Waste Site Inspections
(ACR)  Acronym of Data Base  or Model: None
(MED)  Media/Subject of Data Base or  Model:  Drinking  water  ^Ground
    water ;Runoff leachate ;Surface water receiving streams a
CABS)  Abstract/Overview of  Data Base or Model:  This  data base  is
    concerned uith the    presence  of toxic  or hazardous  materials  In
    order to determine the need for remedial or  enforcement action  on
    hazardous waste dump sites.
(CTC)  CONTACTS: Subject matter   Linda Boornazian  (215)597-9407 ;
    EPA Office  Bruce Smith
(DTP)  Type of data collection or monitoring: Non point source  data
    collection
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances  represented in Data  Base:  129 307 CUA ;15
    metals
(NPP)  Non-pollutant parameters included in  the  data  base:  Chemical
    data ^Concentration measures ^Discharge  points ;F10H  rates  ;
    Inspection data ^Location ^Sampling date /Site description  ;some
    toxiclty data
(DS)  Time period covered by data base: 01-01-80 TO 09-30-81
(TRM)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: as needed
(NOB)  Number of observations in data base:  384.(Estimated)
(NED  Estimated annual Increase of observations in data  base:  192.
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources covered in data  base:  32.
(NCS)  No. stations or sources currently originating/contributing data:
    1 (time per site.)
(NQF)  Number of facilities  covered in data  base (source  monitoring):  (N
    /A.)
(GEO)  Geographic coverage of data base: Selected federal region Region
    III
(LOO  Data elements identifying location of station  or source  include:
    State jCounty ?City j Town/township
(FAC)  Tata elements identifying facility include: Plant  facility name
    ;Plant location
(CDE)  Pollutant identification data  are:  Storet parameter
(Lin)  Limitation/variation  in data of which user should  be aware:  Sampl
    es collected for this program are  not perfect.
(DPR)  Data collect./anal. procedures conform to ORD  guidelines:  Saaplin
    g plan documented /Collection method documented /Analysis method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods?  YES
(PRE)  Precision: Precision  and accuracy estimates exist  but  are not
    included in data base
(EDT)  Editting: Edit procedures used but undocumented.
(CBY)  Data collected by: Regional office  Surveillance and  Analysis
    Division, Wheeling Field Office,  Region  III
(ABY)  Data analyzed by: Regional office Surveillance and Analysis
    Division-Wheeling and Annapolis Field  Office, Region  III


                             1089

-------
                             Accession No.   9038020907
                                                           (cont)
(IOL)  Laboratory identification:  YES
(PR1)  Primary purpose of data collection:  Compliance or enforcement
(AUT)  Authorization for data collection:  Statutory authorization is P
    L, 94-580 as amended, Section 3007 (Resource    Conservation and
    Recovery Act-RCRA)
(OMB)  Data collected/ submit ted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  trip report
    EPA form T 2070-3
    data tabulated
(BUS)  number of regular users of  data base: 5
(USR)  Current regular users of data base:  EPA headquarter  offices
    Water Enforcement-Hazardous Waste Task  Force
    EPA regional offices
    States
(CNF)  Confidentiality of data and limits  on access: No limits on
    access to data
(DLC)  Primary physical location of data:  Regional office
       Form of data storage: Original form  (hardcopy, readings)
       type of data access: Manually
       Direct charge for non-EPA use: no
        Frequency of data base master file  up-date: Other as requested
       Completion of form:
    Robert Cantor
    OFC: EPA/Region Ill/Surveillance and Analysis
    Division-Wheeling Field Office
    AD: 303 Methodist Bldg. Wheeling, HV 26003
    PH: (304)233-1271
(DF)  Date of form completion: 02-24-83
(HMAT)  Number of substances represented in data base: 131
        Number of CAS registry numbers in  data base: 131
       Substances represented in data base:
(DST)
(DAC)
(CHG)
CUPDT)
(CMP)
(NCAS)
(MAT)
         - trichloroethane<71-55-
       6>
    If If If 1, -tetrachloroethane
       <79-34-5>
    i,l,2-trichloroethane<79-00-5>
    1, 1-dichlo ro et hane<7 5- 34-3>
    l,l-dichloroethylene<75-35-4>
    l,2,4,-trichlorobenzene<120-82-l>
    It 2~dichlorobenzene< 95-50-l>
    l,2-dichloroethane<107-06-2>
    l,2-dichloropropane<78-87-5>
    l,2-dichloropropylene<563-54-2>
    l,2-diphenylhydrazine<122-66-7>
    1,2-trans-dichloroethylene
       <156-60-5>
    I, 3-dichlorobenzene<541-73-l>
    l,4-dichlorobenzene<106-46-7>
    2/4,6- trichlorophenoH88-06-2>
    2/4,7, 8-tetrachlorodiben2o-p-
       dioxin (tcdd)
                                         2,4-dichlorophenol<120-83-2>
                                         2,4-dimethylphenol<105-67-9>
                                         2,4-dinitrophenol<51-28-5>
                                         2,4~dinitrotoluene<12i-14-2>
                                         2,6-dinitrotoluene<606-20-2>
                                         2-chloroethylvinyl ether<110-75-8>
                                         2-chloronaphthalene<91-58-7>
                                         2-chlorophenol<95-57-8>
                                         2-nitrophenol<88-75-5>
                                         3,3'-dichlorobenzidine<91-94-l>
                                         3/4-benzofluoranthene<205-99-2>
                                         4,4--dde(p,p'-ddx)<72-55-9>
                                         4,6-dinitro-o-cresol<534-52-l>
                                         4-broBophenyl phenyl ether
                                            <101-55-3>
                                         4-chlorophenyl phenyl ether
                                            <7005-72-3>
                                         4-nitrophenol<100-02-7>
                             1090

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                         Accession No.  9038020907
                  (cont)
acenaphthene<83-32-9>
acenaphthylene<208-96-8>
ac role in< 1-07-0 2- 8>
acrylonitrile<107-13-l>
aldrin<309-00-2>
an thracene< 1 20-1 2-7>
antiraony<7440-36-0>
arsenic<7440-38-2>
asbestos<1332-21-4>
benzene<71 -43-2>
benzidine<92-87-5>
ben20(a)anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
benzo ( g,h,i) per ylene
benzo(k)fluoranthene<207-08-9>
beryllium<7440-41-7>
bhc (llndane)-gaiGma<58-89-9>
bhc-alpha<31 9-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
bis(2-chloroethoxy)methane
bis(2-chloroethyl)ether
bis(2-chloroisopropyl) ether
   <39638-32-9>
bis (2-ethylhexyl)phtha late
bis(chloromethyi)ether<542-88-l>
bromomethane<74-83-9>
butyl benzyl phthalate<85-68-7>
cadmiutn<7440-43-9>
carbon tetrachloride<56-23-5>
chemical oxygen demand (COD)
chlordane<57-74-9>
chlorobenzene
chlorodibromooiethane
chloroethane<7 5- 00-3>
chloroform<67-66-3>
chloromethane<74-87-3>
chromiura<7440-47-3>
chrysene<218-01-9>
copper<7440-50-8>
cyanide<57-12-5>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
dibenzo(a,h)anthracene<53-70-3>
dichlorobromomethane<75-27-4>
dichlorodifluoroniethane<75-71-8>
dichloromethane<75-09-2>
dieldrln<60-57-l>
diethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
endosulfan sulfate<1031-07-8>
endosul£an-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylbenzene<100-41-4>
I luoranthene<206-44-0>
fluorene<86-73-7>
heptachlor epoxi
heptachlor<76-44-8>
hex achlorobenzene
hexachlorobutadiene<87-68-3>
hexachlorocyclopentadiene<77-47-4>
hexachlo£oethane<67-72-l>
indeno (1^2,3-cd)pyrene<193-39-5>
isophorone<78-59-l>
lead<7439-92-l>
mercury <7439-97-6>
n-nitrosodi-n-propylamine
   <621-64-7>
n*nitroscdifflethylamine<62-75-9>
n-nitrosodiphenylamine<86-30-6>
naphtha lene<91-20-3>
nickel<7440-02-0>
nltrobenzene< 98-95-3>
P-chloro-ra-cresol<59-50-7>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   Cll096-82-5>
pentachlorophenol<87-86-5>
phenanthrene<85-01-8>
phenol<108-95-2>
pyrene<129-00-0>
selenium<7782-49-2>
silver<7440-22-4>
tetrachloroethylene<127-18-4>
thalliuia<7440-28-0>
toluene<108-88-3>
total oxidizable carbon
toxaphene< 8001-35-2>
tribromoraethane<7S-25-2>
                         1091

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                             Accession No.  9038020907     (cont)

    trichloroethylene<79-01-6>           vinyl chloride<75-01-4>
    trlchlorofluorofflethane<75-69-4>      zinc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data base: 71-55-6
    ; 79-34-5; 79-00-5; 75-34-3,; 75-35-4;       120-82-1; 95-50-1;
    107-06-2; 78-87-5; 563-54-2; 122-66-7; 156-60-5;   541-73-1;
    106-46-7; 88-06-2; 120-83-2; 105-67-9; 51-28-5? 121-14-2;
    606-20-2; 110-75-8; 91-58-7; 95-57*8; 88-75-5; 91-94-1; 205-99-2;
    72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7; 83-32-91
    208-96-8; 107-02-8; 107-13-1; 309-00-2; 120-12-7; 7440-36-0;
    7440-38-2; 1332-21-4; 71-43-2; 92-87-5; 56-55-3; 50-32-8; 191-24-2;
    207-08-9; 7440-41-7; 58-89-9; 319-84-6; 319-85-7; 319-86-8;
    111-91-1;      111-44-4; 39638-32-9; 117-81-7; 542-88-1; 74-83-9;
    85-68-7;      7440-43-9; 56-23-5; 57-74-9; 108-90-7; 124-48-1;
    75-00-3; 67r66-3;    74-87-3; 7440-47-3; 218-01-9; 7440-50-8;
    57-12-5; 84-74-2; 117-84-0;       53-70-3; 75-27-4; 75-71-8;
    75-09-2; 60-57-1; 84-66-2; 131-11-3;       1031-07-8; 959-98-8;
    33213-65-9; 7421-93-4; 72-20-8; 100-41-4;   206-44-0; 86-73-7;
    1024-57-3; 76-44-8; 118-74-1; 87-68-3; 77-47-4;    67-72-1;
    193-39-5; 78-59-1; 7439-92-1; 7439-97-6; 621-64-7; 62-75-9;
    86-30-6; 91^20-3* 7440-02-0; 98-95-3; 59-50-7; 12674-11-2;
    11104-28-2; 11141-16-5; 53469-21-9; 12672-29-6; 11097-69-1;
    11096-82-5; 87-86-5; 85-01-8; 108-95-2; 129-00-0; 7782-49-2;
    7440-22-4; 127-18-4; 7440-28-0; 108-88-3; 8001-35-2; 75-25-2;
    79-01-6; 75-69-4; 75-0Ir4; 7440-66-6
(CBM)  Contact name(s): Boornazian/L.  ;    Smith,B.
(RQR)  Responsible Organization: Region III.Environmental Services
    Division.
                             1092

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                             Accession  No.   9038020909

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Kane of Data Base of  Model:  Public Water  Supplies
(ACR)  Acronym of Data Base  or Model: None
(MED)  Media/Subject of Data Base or Model:  Drinking  Hater
(A8S)  Abstract/Overview of  Data Base or Model:  the data  base  is  used
    to determine compliance  with    public  drinking  water  standards.
    Samples of rain Hater     influents are  included  in the data  base.
CCTC)  CONTACTS: Subject natter   Ray Lee (215) 597-8227   ;      EPA
    Office  Ray Lee  (215) 59
(DTP)  Type of data collection or monitoring:  Combination/Other public
    water supplies-ambient and finished
(STA)  Data Base status: Discontinued
(GRp)  Groups of substances  represented in Data  Base: 21  drinking water
    standards ;9 potential drinking water
(NPP)  Eon-pollutant parameters Included in  the  data  base:  Chemical
    data ^Inspection data ;Sampling date jSite description
(DS)  Time period covered by data base: 01-01-17 TO 09-30-81
(TRM)  Termination of data collection:  Not anticipated
(FRQ)  Frequency of data collection or  sampling: as needed
(NOB)  Number of observations in data base:  164.(Estimated)
(NEI)  Estimated annual increase of observations in data  base:  40,
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources covered in data  base:  22.
(NCS)  No. stations or sources currently originating/contributing data:
    (N/A.)
(NOF)  Number of facilities  covered in  data  base (source  monitoring); 22
    •
(GEO)  Geographic coverage of data base: Selected federal region  Region
    III
(LOG)  Data elements identifying location of station  or source include:
    State ;County ;City ;Town/township
(FAC)  Data elements identifying facility include: Plant  facility name
    ;Plant location ;name of stream
(CDE)  Pollutant identification data are: Storet parameter
(LiM)  Limitation/variation  in data of  which user should  be aware: None
(DPR)  Data collect./anal, procedures  conform to ORD  guidelines:  Samplin
    g plan documented ;Collection method documented ^Analysis  method
    document QA procedures documented
(AMD  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit  is satisfactory  for  90%.
(PfiE)  Precision: Precision  and accuracy estimates exist  but are  not
    included in data base
(EDT)  Editting: Edit procedures used  and documented.
(CBY)  Data collected by: Regional office Surveillance and  Analysis
    Division-Wheeling  Field Office, Region  III
(ABY)  Data analyzed by: Regional office Surveillance and Analysis
    Division-Wheeling Field  Office, Region III
(IDL)  Laboratory identification: YES
(AUT)  Authorization for data collection: Statutory authorization is P
    L 93-523 (Safe Drinking  Water Act  (SDHA))
(OMB)  Data collected/submit ted using  OMB-approved EPA reporting  forms:
    QQ


                             1093

-------
                             Accession No.   9038020909     (cont)

(REP)  Form of available reports and outputs of data base:  raw data
    tabulated
(NUS)  Number of regular users of data base: 4
(OSR)  Current regular users of data base:  EPA regional offices
    States
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data; Regional office
(DST)  Form of data storage: Original form (hardcopy* readings)
(DAC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base master file up-date:  Other as requested
(CMP)  Completion of form:
    Robert Cantor
    OFC: EPA/Region Ill/Surveillance and Analysis Division-Wheeling
    Field
    Office
    AD: 303 Methodist Bldg. Wheeling, KV 26003
    PH: (304) 233-1271
(OF)  Date of form completion: 02-24-83
(NMAT)  Number of substances represented in data base: 27
(NCAS)  Number of CAS registry numbers in data base: 25
(MAT)  Substances represented in data base*
    l,l,l-trichloroethane<71-55-         lead<7439-92-l>
       6>                                lindane<58-89-9>
    1,2-dichlorobenzene<95-50-l>         mercury<7439-97-6>
    I,2~dichloroethane<107-06-2>         methoxychlor<72-43-5>
    l,3-dichlorobenzene<541-73-l>        microbiology collform bacteria
    l,4-dichlorobenzene<106-46-7>        nitrate<147 97-55-8>
    2,4-dichlorophenoxyacetic acid (2,   selenium<7782-49-2>
       4-d)<94-75-7>                     silver<7440-22-4>
    arsenic<7440-38-2>                   silvex<93-72-l>
    bariura<7440-39-3>                    tetrachioroethylene<127-18-4>
    cadmiura<7440-43-9>                   toxaphene<8001-35-2>
    carbon tetrachloride<56-23-S>        trichloroethylene<79-01-6>
    chlorobenzene<108-90-7>              turbidity
    chromium<7440-47-3>                  vinyl chloride<75-01-4>
    endrin<72-20-8>
(CAS)  CAS registry numbers of substances included in data  base: 71-55-6
    ; 95-50-1; 107-06-2; 541-73-1;    106-46-7; 94-75-7; 7440-38-2;
    7440-39-3; 7440-43-9; 56-23-5;     108-90-7; 7440-47-3; 72-20-8;
    7439-92-1; 58-89-9; 7439-97-6; 72-43-5;      14797-55-8; 7782-49-2;
    7440-22-4; 93-72-1; 127-18-4; 8001-35-2;       79-01-6; 75-01-4
(CNM)  Contact name(s): Lee,R»    ;    Lee,R.
(ROR)  Responsible Organization: Region III.Environmental Services
    Division.
                             1094

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                             Accession Mo*   9038030906

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Same of Data Base of Model: Priority Pollutants  Effluent
    Guidelines
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model: Effluents industrial
    ^Surface water receiving stream (rivers) }    Other  in-process  waste
    streams and influents
(ABS)  Abstract/ over view of Data Base or Model:  In order  to provide  the
    Effluent Guidelines  Division with the  data  needed  to develop
    standards/-    samples Mere taken of In-process waste  streams and
    influents for the presence of the 129 consent decree    priority
    pollutants selected for assessment under Section 307  of the  Clean
    Water Act.  The chemical and steel industries were  primarily
    sampled.
(CTC)  CONTACTS: Subject matter   Robert Schaeffer  (202)755-0100  }
    EPA Office  Mater Qualit
(DTP)  Type of data collection or monitoring:  Combination/Other
    effluent, influent, in-process streams, and      receiving streams
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances represented in  Data  Bases 129 307 CWA
(NPP)  Non-pollutant parameters included in the  data base: Chemical
    data ^Concentration measures ;Inspection data }Sampling date
(DS)  Time period covered by data base: 10-01-78 TO 09-30-81
(TRM)  Termination of data collections Mot  anticipated
(FRQ)  Frequency of data collection or sampling: one time only /as
    needed ;other one time:  per facility (24 hour composite) ;
    Other as needed: 4 to 5 facilities per  year
(NOB)  Number of observations in data base: 3096*(Actual)
(NEI)  Estimated annual increase of observations in data  base: 2000.
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data base: 24.
(NCS)  No. stations or sources currently originating/contributing  data:
    1 (time only.)
(NOF)  Number of facilities covered in data base (source  monitoring): 6.
(6EO)  Geographic coverage of data base: Selected federal region Region
    III
(LOC)  Data elements identifying location of station or source include:
    State ;County ;City >Town/township ^Coordinates latitude/longitude
    and river rail
(FAC)  Data elements identifying facility includes NPDES
(CDS)  Pollutant identification data ares Storet parameter
(LIM)  Limitation/variation in data of which user should  be aware: None
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Sanplin
    g plan documented /Collection method documented /Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit is satisfactory for  .
(PRE)  Precision: Precision and accuracy estimates exist  but are not
    included in data base
(EDT)  Editting: Edit procedures used and documented.
(CBY)  Data collected by: Regional office Surveillance  and Analysis
    Division, Wheeling Field Office, Region III


                             1095

-------
                             Accession No.   9038030906
                  (cont)
(ABY)  Data analyzed by:  Regional office Surveillance and Analysis
    Division/ Wheeling     and Annapolis Field Office/ Region III
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Development of regulations
    or standards
(AUT)  Authorization for  data collection: Statutory authorization is P
    L 92-500 as amended (Clean Hater Act-CHA)
(OMB)  Data collected/submitted using QMB-approved EPA reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base:  tabulated
    raw data
(NUS)  Number of regular  users of data base: 2
(USR)  Current regular users of data base:  EPA headquarter offices
    Effluent Guidelines Division
(CNF)  Confidentiality of data and limits on access: Limits on access
    within EPA and outside agency for some   data
CDLC)  Primary physical location of data: Headquarters office
(DST)  Form of data storage: Original fora (hardcopy/ readings)
(DAC)  Type of data access: Manually
(CHG)  Direct charge for  non-EPA use: no
(UPDT)  Frequency of data base master file  up-date: Other As requested
(CMP)  Completion of form:
    Robert Cantor
    OFC: EPA/Region Ill/Surveillance and Analysis
    Division/Wheeling Field Office
    AD: 303 Methodist Bldg. Mheeling/ WV 26003
    PH: <304)233-1271
(DF)  Date of form completion: 02-24-83
(NMAT)  Number of substances represented in data base: 129
(NCAS)  Number of CAS registry numbers in data base: 127
(HAT)  Substances represented in data base:
    l,l,l-trichloroethane<71-55-
       6>
    1,1,2,2,-tetrachloroethane
       <79-34-5>
    l/l,2-trichloroethane<79-00-5>
    l,l-dichloroethane<75-34-3>
    l,l-dichloroethylene<75-35-4>
    If2f4,-trichlorobenzene<120-82-l>
    l/2-dichlorobenzene<95-50-l>
    l,2-dichloroethane<107-06-2>
    If2-dichloropropane<78-87-5>
    l,2-dichloropropylene<563-54-2>
    l/2-diphenylhydrazine<122-66-7>
    If 2-trans-dichloroethylene
       <156-60-5>
    If3-dichlorobenzene<541-73-l>
    l/4-dlchlorobenzene<106-46-7>
    2, 4, 6- tr ichl oropheno i< 88-0 6-2>
    2,4,7^8-tetrachlorodibenzo-p-
       dioxin Ucdd)
    2j-4-dichlorophenol<120-83-2>
2,4-diraethylphenol<105-67*9>
2,4-dinitrophenol<51-28-5>
2,4-dinitrotoluene<121-14-2>
2/6-dinitrotoluene<606-20-2>
2-chloroethylvinyl ether<110-75-8>
2-chloronaphthalene<91-58-7>
2-chlorophenol<95-57-8>
2-nitrophenol<88-75-5>
3,3*-dichlorobenzidine<91-94-l>
3,4-benzofluoranthene<205-99-2>
4/4*-ddd
4,4*-ddt<50-29-3>
4,6-dinitro-o-cresol<534-52-l>
4-bromophenyl phenyl ether
   <101-55-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
acenaphthene< 83-32-9>
acenaphthylene<208-96-8>
                             1096

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                         Accession No.  9036030906
                  (cont)
acrolein<107-02-8>
acrylonitrile<107-13-l>
aldrin<309-00-2>
anthracene<120-12-7>
antimony<7440-36-Q>
arsenic<7440-38-2>
asbestos<1332-21-4>
benzene<71-43-2>
benzidine<92-37-5>
benzo(a)anthracene<56-55-3>
benzo(a)pyrene<5Q-32-8>
benzo(gylvi)perylene<191-24-2>
benzo(k)fluoranthene<207-08-9>
beryllium<7440-41-7>
bhc (lindane)-gawma<5fl-89-9>
bhc-alpha< 31 9- 8 4-6 >
bhc-beta<319-85-7>
bhc-delta<319-86-8>
bis (2-chloroet ho xy)me thane
bis(2-chloroethyl)ether
bis(2-chloroisopropyl) ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bIs(chloromethyl)ether<542-88-l>
bromoraethane<74-83-9>
butyl benzyl phthalate<85-68-7>
cadroiura<7440-43-9>
carbon tetrachloride<56-23-5>
chlordane<57-74-9>
chlorobenzene<108-90-7>
chlorodibr omorae thane< 1 24-4 8-l>
chloroethane<75-00-3>
chloroform<67-66-3>
chloromethane<74-87-3>
chronsIuni<7440-47-3>
chrysene<218~01-9>
copper<7440-50-8>
cyanide<57-12-5>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
dibenzo( a, h) an thracene<53-70-3>
dichlorobromoinethane<75-27-4>
dichlorodlfluoromethane<75-71-8>
dichloromethane<75-09-2>
dieldrin<60-57-l>
diethyl phthalate<84-66-2>
dimethyl phthalate<13l-ll-3>
endosulfan sulfate<1031-07-8>
endosulfan-alpha<9 59-98- 8>
endosulfan-beta<33213-65-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylbenzene<100-41-4>
f luoranthene<206-44-0>
fluorene<86-73-7>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hex achlorobenzene
hexachlorobutadiene<87-68-3>
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
indeno (1, 2,3-cd)pyrene<193-39-5>
i sophor on e<78-59-l>
lead<7439-92-l>
mercury<7439-97-6>
n-nitrosodi-n-propylamine
   <621-64-7>
n-nitrosodiraethylaiBine<62-75-9>
n-nltrosodiphenylamine<86-30-6>
naphthalene<91-20-3>
nickel<7440-02-0>
nit robe nzene<98-95-3>
p -chloro-B-cresol< 59-50 -7>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 {arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorophenol<87-86-5>
phenanthrene< 85-01- 8>
phenol<108-95-2>
pyrene<129-00-0>
sel enium<7782-49-2>
silver<7440-22-4>
tetrachloroethylene<127-18-4>
thalliuia<7440-28-0>
toluene<108-88-3>
toxaphene<8001-35-2>
tribrofflonethane<75-25-2>
tr ichloroethylene<79-01 -6>
trichlorofluoromethane<75-69-4>
vinyl chloride<75-01-4>
zinc<7440-66-6>
                         1097

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                             Accession No.  9038030906     (cant)

(CIS)  CAS registry numbers of substances included in data base: 71-55-6
    ; 79-34-5; 79-00-5; 75-34-3; 75-35-4;       120-82-1; 95-50-1;
    107-06-2; 78-87-5; 563-54-2; 122-66-7; 156-60-5;   541-73-1;
    106-46-7; 88-06-2; 120-83-2; 105-67-9; 51-28-5; 121-14-2;
    606-20-2; 110-75-8; 91-58-7; 95-57-8; 88-75-5; 91-94-1; 205-99-2;
    72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7; 83-32-9;
    208-96-8; 107-02-8; 107-13-1; 309-00-2; 120-12-7; 7440-36-0;
    7440-38-2; 1332-21-4; 71-43-2; 92-87-5; 56-55-3; 50-32-8; 191-24-2;
    207-08-9; 7440-41-7; 58-89-9; 319-84-6; 319-85-7; 319-86-8;
    111-91-1;      111-44-4; 39638-32-9; 117-81-7; 542-88-1; 74-83-9;
    85-68-7;      7440-43-9; 56-23-5; 57-74-9; 108-90-7; 124-48-1;
    75-00-3; 67-66-3;    74-87-3; 7440-47-3; 218-01-9; 7440-50-8;
    57-12-5; 84-74-2; 117-84-0;       53-70-3; 75-27-4; 75-71-8;
    75-09-2; 60-57-1; 84-66-2; 131-11-3;       1031-07-8; 959-98-8;
    33213-65-9; 7421-93-4; 72-20-8; 100-41-4;   206-44-0; 86-73-7;
    1024-57-3; 76-44-8; 118-74-1; 87-68-3; 77-47-4;    67^72-1;
    193-39-5; 78-59-1; 7439-92-1; 7439-97-6; 621-64-7; 62-75-9;
    86-30-6; 91-20-3; 7440-02-0; 98-95-3; 59-50-7; 12674-11-2;
    11104-28-2; 11141-16-5; 53469-21-9; 12672-29-6; 11097-69-1;
    11096-82-5; 87-86-5; 85-01-8; 108-95-2; 129-00-0; 7782-49-2;
    7440-22-4; 127-18-4; 7440-28-0; 108-88-3; 8001-35-2; 75-25-2;
    79-01-6; 75-69-4; 75-01-4; 7440-66-6
(CNM)  Contact name(s): Schaeffer/R*
(CQR)  Contact organization: Hater Quality Monitoring Office/
    Surveillance and
(ROR)  Responsible Organization: Region III.Environmental Services
    Division.
                             1098

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                             Accession No.   9043000501

Soil ;Solid     Waste jSurface Hater,  stream^
    lake/ estuarine >Tissue, aquatic plant  and   animal jail,  gasoline
(ABS>  Abstract/Overview of Data Base or Model: The "Sample  Analyses
    and Management System" is a  computerized data storage and
    retrieval system designed and used by   EPA Region  IV.  The
    Analytical Support Branch of the Environmental   Services Division
    enters all of its sample logging information and    results of
    chemical analyses into this system.  Hard copy-formated
    retrieval of data is available  at this  time*  The system also
    furnishes the lab backlog and other management information.
(CTC)  CONTACTS: Subject matter  Tom B. Bennett, Jr.   PH:    (404)
    546-3112  FTS 250-3112 } Computer-related  Daylor Conner   (404)
    881-2316  FTS 257-2316 ; EPA Office  Enivronraental  Services
    Division/ Region Iv> Athens, GA
(DTP)  Type of data collection or monitoring: Combinations and Other
(STA)  Data Base status: Presently  Operational/Ongoing
(GRP)  Groups of substances represented in  Data Base: 43 air priority
    chemicals ; 5 HSSHAPS except asbestos ;     129 307 C¥A  ?  11
    conventional water } 41 CWA potential criteria }     21  drinking
    water standards except Radioactive Pollutants ; 9    potential
    drinking «ater except Radioactive Pollutants ; 29 drinking  water
    monitoring } 299 hazardous substances except Salts  of the   organic
    and inorganic compounds ; 48 cancelled  pesticides ; 9   monitoring
    pesticides ; 54 TSCA assessment ; RCRA  hazardous wastes  >   16
    Pre-RPAR ; 15 metals } Other-  The data base is flexible in that
    new parameters not presently in the data base can be added easily
    by  the system user,  some of the above compounds are not  in the
    data     base at present but can be added as needed.
(NPP)  Non-pollutant parameters included in the data base: Chemical
    data ; Compliance data / Concentration    measures ; Discharge
    points ; Flow rates } Industry ; Location ; Manufacturer > Physical
    data } Political Subdivisions ; Salinity ;    Sampling Date ; Site
    Description | Temperature 5 Test/Analysis method ;     Treatment
    devices or processes ; all sample collection information    (where/
    when/ how/ who/ etc»), all sample custody information
(DS)  Time period covered by data bases 79  TO 01-83
(TRH)  Termination of data collection: Hot  anticipated
(FRQ)  Frequency of data collection or sampling: Ongoing:Daily ;
    Ongoing: As needed ', At least daily.
(NOB)  Number of observations in data base: 500/000(Estimated  to date)
(HEI)  Estimated annual increase of observations in data base: Not  Known
(IMF)  Data base includes: Raw date/observations } Sample logging
    information*
(NTS)  Total number of stations or sources  covered in data base: Mot
    Known
(GEO)  Geographic coverage of data base: Single or selected Federal


                             1099

-------
                             Accession Ho,   9043000501      (cont)

    Regions Region IV, SS-US
(LOG)  Data elements identifying location of station or source include:
    State / City ; Town/Township ; Street Address ;   Latitude and
    Longitude/  UTM, or other coordinates }  individual   project
    identifier
(FAC)  Data elements identifying facility include: Plant or facility
    name ; Other- Station Location.
(CDE)  Pollutant identification data are: Coded/  storet parameter  codes
    ; Coded/ other coding scheme } Uncoded
(DPR)  Data collect./anal,  procedures conform to  ORD guidelines: Yes
(ANL)  Lab analysis based on EPA-approved or accepted methods? Yes
(AUD)  Lab Audit: Yes
(PRE)  Precision: Not included in Data Base/ precision and accuracy
    measurements available  from other sources
                    acetic acid/methyl     chlorobenze
    2, 5-furandione,3-ethyl-4-inethyl         ne
       <355-33-8>                        aidehyde/endrin
    acetic acid/benzene                  alkyl acid,C14 methyl ester
    acetic acid/biphenyl                 alkyl  acid/CIS methyl ester


                             1100

-------
                         Accession No.  9043000501
                  (cont)
alkyl acid,C16 methyl ester
alkyl acid,ci8 mehtyl ester
amine/diethyl methoxy triazlnedl
amlne/n-nitrosodiphenyl
anthracenedione
anthracenone/7H-benz(de)
benzaldehyde/hydroxy
benzaldehyde,hydroxy methoxy
benzanthracene-1,2
ben zenamide/n-methyl  nitroso
benzene/alkyl
benzene/C6 alkyl
benzene/ethoxy methyl
benzene  /methylene bis
benzeneacetic acld<103-82-2>
benzenepropanoic acid
   <501-52-0>
benzlmldazole/ehtyl
benzo(GHI)fluoranthene<203~12-3>
benzofluoranthene/ll/12<207-08-9>
benzof luoranthene/3, 4<205-99-2>
benzofluoranthene/7,10<203-12-3>
benzole acid/amino
benzole acld,C4   alkyl
benzole acid,chloro
benzole acid/dimethyl
benzonaphthlophene
benzoperylene/1,12<191-24-2>
benzopyrene/3/4<50-32-8>
benzylcanide/   chlorouiethyl
BHC(llndane)gamma
BHC-alpha
BHC-beta
BHC-delta
BHC-gamma
blcycloheptanone/trimethyl
b icyclooctane/dibr orao
bicyclooctane, tribromo
biphenyl/tetrachloro<26914-33-0>
biphenyl/trlchloro<25323-68-6>
bromide,methyl
butane,bis methylene bis(oxy)
butanoic acid
butanolc   acid, dimethyl
butanoic acid/methyl
butanol,2-raethyi/2
carboxylic acid,benzendi
chlordane,alpha
chlordane/gamma
chlordene/hydroxy
chloride/chlorobenzoyl
chloride/methyl
chl or Ide/methylene
chrysene,   C2 alkyl
chrysene,methyl
cresol, parachlorometa/
cyclohexane
cyclohexanone, trimethyl
cyclopentanol, methyl
cyclopentenone/hydroxy   methyl
cyclopentenone/methyl
DDE,0'P*
DDT,0'P"
decanolc acld/aethyl ester
   <110-42-9>
decanolc acid/penta
dibenzanthracene-1,   2/5/6
   <53-70-3>
dibenzofur an, methyl
dlbenzothlophene, methyl
debenzyl,  tetraaethyl
dlchlorobenzene-l/2< 95-50-1 >
dichlorobenzene-l/3<541-73-l>
dlchlorobenzene-l,4<106-46-7>
diphenylaralne/n-nltroso<86-30-6>
dipropetryn
dodecanolc acid/methyl ester
eicosanolc acid/methyl ester
endosuifan-beta<32313-65-9>
endrin ketone
epoxide,heptachlor<1024-57-3>
ethane, 1,1,1-dichloro
ethane, 1,1, 1-trlfluorochloro
ethane, 1,1, 2, 2-    tetrachloro
ethane, 1, 1, 2-trichloro
ehtane, l,2-dichloro,l,l,2-
   trifluoro
ethane, trlchloro trlfluoro
ethanone, dlhydroxyaethoxyphenyl
ethene,    trifluoro-chloro
ethylene/l/2-trans
ethylene, 1, 2-trans-dichloro
furan
furan, dlethyl tetrahydro
fur andione, ethyl methyl
heptachlor     epoxide<1024-57-3>
heptadecanolc acid<506-12-7>
heptadecanol
heptanoic acid
heptane 1,2-propyl-l-
heptanol, methyl
heptanone/ 2-<110-43«0>
hep tanone, methyl
                         1101

-------
                         Accession No.  9043000501
                  (cont)
hexadecanoic acid, methyl ester
hexadecanoic ad dimethyl ester of
   methyl
hexanedioic acid, detoethyi ester
   <627-93-0>
hexanoic acid<142-62-l>
hexanoic acid,  ethyl ester of
   ethyl
hexanoic acid,raethyl
hexanone,cyclo
hydrofuran,tetra<109-99-9>
lndenone,dihydro
indole/methyl
isobenzofuranone
isocyanatobenzene,chloro
ketene,raethylpropyl<29336-29-6>
ketone,     aethyl ethyl
methane,chlorodibromo<124-48-l>
methane,dichlorobrorao    <75-27~4>
methane,dichlorodifluoro<75-43-4>
methane,dichlorofluoro
   <75-43-4>
methane,trichlorofluoro<75-69-4>
nethanolrbenzene
methanol,dibutoxy<54518-04-6>
nethanol^ethenyl benzene
methanone,bis  (2-ethylhexyl3
methanone, diphenyl
methyl benzole acid,methyl ester
methyl pentanoic acid,methyl ester
methylene,chloride<75-09-2>
mycrenol
naphthalene,C5 alkyl
naphthalene,octachloro<2234-13-l>
naphthalene,phenyl
naphthalene, trinethyldihydro
   <53156-12-0>
nonadecenoic acid,methyl ester
nonanedioc acid/raethy1 ester
nonanedioic acid,bis(ethylhexyl)
   ester of
nonanediol,methyl
nonanolc   acid
nonanoic acid,aiethyl ester
   <1731-84-6>
octadecadienoic acid, methyl ester
octadecanoic acid<57-ll-4>
octadecanoic acid,methyl ester
octadecanoic acid,emthy1 ester of
   methyl
octadecenoic acid<57-ll-4>
octadecenoic acid,methyl ester
octanoic acid,methyl ester
   <111-11-5>
pentadecanoic acid<1002-84-2>
pentadecanoic acid,methyl
pentadecanoic acid,methyl ester
pentadecanoic acid,methyl ester
   of jnethyl
pentadiene,    pentachlorocyclo
   <25154-43~2>
pentadiene,tetrachlorocyclo
   <29590-82-7>
pentanediotic acid,dimethyl ester
pentanoic acid<109~52-4>
pentanone, hydroxy methoxy
pentanone,hydroxy methyl
p entene,oc tachlorocyclo
   <706  -78-5>
perylene<198-55-0>
phenanthrene,C2, alkyl
phenanthrene,C3 alkyl
phenanthrene,C4 alkyl
phenanthrene,C5 alkyl
phenanthrene, dimethyl
phenanthrene,methyl
phenanthrenecarboxyllcacid
   octahydrodimethyl
phenanthrenedione
phenol,2,4-dinethyl
phenol,bis dimethyl ethyl
pehnol,C2 alkyl
phenol,C4 alkyi
phenol,C8 alkyi
phenol,C9 alkyl
phenol,dichloro methyl
phenol,dimethyl ethyl
phenol,methoxy
phenol,   methoxypropenyl
phenol,methoxypropyl
phenol,nitro,4<100-02-7>
phenol,tetrachloro<25167-83-3>
phosphoric acid,octyl diphenyleste
   r    <115-88-8>
phosphoric aicd,tributyl ester
   <126-73-8>
phosphoric acid   ,triphenyl
   ester<115-86-6>
phthalate,di(nethylpropyl)
phthalate,dip   ropylphenyl
phtahlate,diethyl<84-66-2>
phthalate,dodecyl
phthalate,   methyl butyl
propane,!,1-trifluoro,l,3-dichloro
                         1102

-------
                         Accession Ho.  9043000501
                  Ccont)
propanoic acid,benzene
propanoic acid,nethyl
propanol/methoxy methyl ethoxy
propanone,  hydroxyraethoxyphenyl
propenoic acid^phenyl
pyrene, indeno( 1, 2, 3-CD)
   <193-39-5>
pyrene,methyl
pyridine,methyl<1333-41-4>
qulnone,di-  tertbutyl-benzo
simatryne
suIfonanide,butyl methyl benzene
sulfonamide,    methyl benzene
sulfonamide/ trimethyl benzene
sulfonanide, trimethylbenzyl
sulfur<7704-34-9>
surfuric acid/dimethyl ester of
tetradecanoic acid  <544-63-8>
tetradecanoic acid,raethyl ester
   <124-10-7>
tetradecanoic    acid,methyl
   ester of methyl
tetradifon
triazine, trimethoxy
trichlorobenzene-    1^2/4
   <120-82-l>
undecanoic acid,methyl ester of
   cyclopentane
Acetaldehyde <75-07-0>
Acrolein <107-02-8>
Acrylonitrile  <107-13-1>
ally! chloride <107-05-1>
Benzyl     chloride <100-44-7>
Bis(chloromethyl)ether <542-88-l>
Carbon tetrachloride <56-23-5>
Chlorobenzene <108-90-7>
Chloroform <67-66-3>
Chloroprene <126-99-8>
o-Cresol <95-48-7>
ra-Cresol <108-39-4>
p-Cresol <106-44-5>
p-Dichlorobenzene<106-46-7>
Dlchloromethane <75-09-2>
Dimethylnitrosoamine <62-75-9>
Dioxane <123-91-1>
Dioxin  <828-00-2>
Epichlorohydrin <106-89-8>
Ethylene dibroroide  (BOB)
   <106-93-4>
Sthylene dichloride <107-06-2>
Ethylene  oxide <7S-21-8>
Formaldehyde <50-00-0>
Hex achlorocyclopentadiene
   <77-47-4>
Maleic anhydride  <108-31-6>
Manganese and compounds
   <7439-96-5>
Methyl     chloroforn <71-55-6>
Methyl iodide <74-88-4>
Hickel  <7440-02-0>
Nitrobenzene <98-95-3>
2-Hitropropane <79-46-9>
M-NltrosodiethylaiBine <55-l 8-5>
Nitrosomethylurea <684-93-5>
Nitrosomorpholine <59-89-2>
Perchloroethylene <127-18-4>
Phenol <108-95-2>
Phosgene <75-44-5>
Polychlorinated biphenyls (PCBs)
Toluene <10S-88-3>
Vinylidene chloride   <75-35-4>
Xylene <1330-20-7>
o-Xylene <95-47-6>
ra-Xylene <108-38-3>
p-Xylene
   <106-42-3>    Proplyene oxide
   <75-56-9>
Trichloroethylene
   <79-01-6> Benzene <71-43-2>
Beryllium  <7440-41-7>
Mercury <7439-97-6>
Vinyl chloride
   <75-01-4>  Acenaphthene
   <83-32-9>
Acenaphthylene <208-96»8>
Acrolein <107-02-8>
Acrylonitrile <107-13-1>
Aldrin <309-00-2>
Anthracene  <120-12-7>
Antimony <7440-36-0>
Arsenic <7440-38-2>
Asbestos  <1332-21-4>
BHC-.Alpha. <319-84-6>
BHC-.Beta. <319-85-7>
BHC (lindane)-.GaraBa. <58-89-9>
BHC-.Delta. <319-86-8>
8«nzene <71-43-2>
Benzidine <92-87-5>
Benzo(a)anthracene  <56-55-3>
3,4-Benzofluoranthene <205-99-2>
Benzo
Benzo(g,h^i)perylene <191-24-2>
BenzoCa3pyrene <50-32-8>
Berylliua <7440-41-7>
                         1103

-------
                         Accession No.  9043000501
                  (cont)
81s(2-     chloroethoxy)ne thane
   <111-91-1>
Bis(2-chloroethyi)ether
Bis(2-chloroisopropyl)ether
   <39638-32-9>
Bis   (chlorome thy 1) ether
   <542-88-l>
Bis(2-ethylhexyl)phthalate
BroRome thane <74-83-9>
4-Bromophenyl phenyl ether
   <101-55-3>
Butyl benzyl phthalate <85-68-7>
Cadmium  <7440-43-9>
Carbon tetrachloride <56-23-5>
Chlordane <57-74-9>
Chlorobenzene <108-90-7>
ChlorodibrOBoraethane   <124-48-l>
Chloroethane <75-OQ-3>
2-chloroethylvlnyl ether
   <110-75-8>
Chloroform < 67-66- 3>
p-Chloro-m-cresol <59-50-7>
Chlororaethane <74-37-3>
2-Chloronaphthalene <91-58-7>
2-Chlorophenol <95-57-8>
4-Chlorophenyl phenyl ether
   <7005-72-3>
Chromium <7440-47*3>
Chrysene <2l8-01-9>
Copper <7440-50-8>
Cyanide <57-12-5>
4,4'-DDD
4,4--DDE(p/.p*-DDX) <72-55-9>
4^4 '-DDT <50-29-3>
DibenzoCa^ hi anthracene 
Di-n-butyl phthalate <84-74-2>
1,2-Dichlorobenzene <95-50-l>
1,3-Dichlorobenzene     <541-73-l>
1/4-Oichlorobenzene <106-46-7>
3,3'- Dlchlorobenzidine <9l-94-l>
Dichlorobroraooethane <75-27-4>
Dichlorodifluoromethane <75-71-8>
1,1-Dichloroethane  <75-34-3>
1,2-Dichloroethane <107-06-2>
1,1-Dichloroethylene   <75-35-4>
1,2-trans-Dichloroethylene
   <156-60-5>
DicMorome thane <75-09-2>
2/4-Dichlorophenol <1 20-83 -2>
1# 2-Dichloropropane <78-87-S>
1/2-Dichloropropylene <563-54-2>
Oieldrin <60-57-l>
Dlethyl phthalate <84-66~2>
2,4-  Oiiethylphenol <105-67^9>
Dimethyl phthalate <131-ll-3>
4,6-Dinitro-o-cresol <534-52-l>
2/4-Dinitrophenol <51-28-5>
2,4-Dinitrotoluene <121-14-2>
2,6-Dinitrotoluene <606-20-2>
Di-n-octyl phthalate <117*84-0>
1,2-Diphenylhydrazine <122-66-7>
Endosulfan-.Alpha. <959-98-8>
Endosulfan-.Beta.     <33213-65-9>
Endosulfan sulfate <1031-07-8>
Endrin <72-20-8>
Endrln aldehyde <7421-93-4>
Ethylbenzene <100-41-4>
Fluoranthene <206-44-0>
Fluorene <86-73-7>
Heptachlor     <76-44-8>
Heptachlor epoxlde <1024-57-3>
Hexachlorobenzene     <118-74-l>
Hexachlorobutadiene <87-68-3>
Hexachlorocyclopentadiene
   <77-47-4>
H ex achloro ethane  <67-72-l>
Indeno <1, 2,3-cd)pyrene <193-39-5>
Isophorooe <78-59-l>
Lead <7439-92-l>
Mercury <7439-97-6>
Naphthalene <91-20-3>
Nickel <7440-02-0>
Nitrobenzene <98-95-3>
2-Nitrophenol   <88-75-5>
4-»itrophenol <100-02-7>
N-Nitrosodimethylamine <62-75-9>
N-Nltrosodiphenylaoine <86-30-6>
N-Nitrosodi-n- propylamine
   <621-64-7>
Pentachlorophenol <87-86-5>
Phenanthrene    <85-01-8>
Phenol <108-95-2>
PCB-1016 (Arochlor 1016)
   <12674-ll-2>
PCB-1221 {Arochlor 1221)
   <11104-28-2>
PCB-1232   (Arochor 1232)
PCB-1242 (Arochlor 1242)
   <53469-21-9>
PCB-1248 (Arochlor 1248)
   <12672-29-6>
                         1104

-------
                         Accession No.   9043000501
                  (cont)
PCB-1254    (Arochlor 1254)
   <11097-69-l>
PCB-1260 (Arochlor 1260)
   <11096-82-5>
Pyrene <129-00-0>
Selenium <7782-49-2>
Silver <7440-22-4>
2,AfIf8-Tetrachlorodibenzo-p-
   dioxin (TCDD)
1/1/2,2-Tetrachloroethane
   <79-34-5>
Tetrachloroethylene <127-18-4>
Thallium <7440-28-0>
Toluene    <108~88-3>
Toxaphene <8001-35-2>
Tribroraomethane <75-25-2>
1,2,4-Trichlorobenzene <120-82-l>
1,1,1-Trichloroethane    <71-55-6>
1,1,2-Trichloroethane <79-00-5>
Trichloroethylene    <79-01-6>
Trichlorofluoromethane <75-69-4>
2,4,6-    Trichlorophenol
   <88-06-2>
Vinyl chloride <75-01-4>
Zinc <7440-66-6>
Acidity
Alkalinity
Dissolved Oxygen
Dissolved Solids
Fecal coliform
Nitrogen <7727-37-9>
Oil and Grease
Oxygen demand
PH
Phosphorus <7723-14-0>
Suspended solids
Arsenic <744Q-38-2>
Barium <7440-39-3>
Cadmium <7440-43-9>
Chromium <7440-47-3>
2f4-Dichlorsphenoxyacetic acid (2,
   4-D)     <94-75-7>
Endrin <72-20-8>
Lead <7439-92-i>
Lindane <58-89-9>
Mercury <7439-97-6>
Methoxychlor <72-43-5>
Microbiology-coliforin bacteria
Nitrate <14797-55-8>
Selenium <7782-49-2>
Silver  <7440-22-4>
Silvex <93-72-l>
Toxaphene <8001-35-2>
Turbidity
Acetone <67-64-l>
n-alkanes (clO - c30)
Aluminum <7429-90-5>
Ammonia <7664-41-7>
Barium <7440-39-3>
Biphenyl <92-52-4>
Bismuth and compounds <7440-69-9>
Boron and compounds <7440-42-8>
Bromine <7726-95-6>
Chlorine <7782-50-5>
Cobalt <7440-48-4>
2,4-d acid <94-75-7>
Demeton <8065-48-3>
Dialkyl ethers
Dibenzofuran <132-64-9>
Diphenyl ether     <101-84-8>
Fluorides
Guthion <86-50-0>
Iron <7439-89-6>
Kepone <143-50-0>
Lithium and compounds <7439-93-2>
Malathion  <121-75-5>
Manganese and compounds
   <7439-96-5>
Methoxychlor <72-43-5>
Methyl ethyl ketone (MEK)
   <78-93-3>
Mirex <2385-85-5>
Molybdenum and compounds
   <7439-98-7>
Mitrates/Nitrites
Nitriloacetates
Parathion <56-38-2>
Phosphorus <7723-14-0>
Polybroninated biphenyls (PBBS)
Secondary amines
Sodium <7440-23-5>
Styrene <100-42-5>
Suifates
Sulfides
Tarpenes
2|>4^5-Trichlorophenoxypropionic
    acid (TP) <93-72-l>
Vanadium
   <7440-62-2>    Carbon
   tetrachloride <56-23-5>
Chlorobenzene <108-90-7>
1,2-Dichlorobenzene <95-50-l>
1,3-Dichlorobenzene <541-73-l>
1^4-Dichlorofaenzene <106-46-7>
                         1105

-------
                         Accession No.   9043000501
                  (cont)
1,2-Dichloroethane <107-06-2>
Radcn <10Q43-92-2>
Tetrachloroethyiene <127-18-4>
lyl,l-Trichloroethane <71-S§-6>
frichloroethylene <79-Ql-6>
Uranium <744Q-61-1>
Vinyl chloride <75-Oi-4>
Alachlor <15972-6Q-8>
Atrazine <1912-24-9>
Banvel-D  <1918-00-9>
Benefin <1861-40-1>
Bromobenzene 
Bromochlorobenzene <289Q6-38-9>
Bromodichloronethane  <75-27-4>
Butachlor <23184~66-9>
Chlorodibromomethane
   <124-48-l>
Cyanazine <2172S~46-2>
Dibutyl ph thai ate  <84-74-2>
cis-lx2-Dichloroethylene
   <156-59-2>
l#2~trans~  Dichloroethylene
   <156-60-5>
Dichloroiodomethane <594-04-7>
Dlethyl phthalate <84-66-2>
Oiphenylhydrazine <38622-18-3>
Ethyl chloride <75-00-3>
Q-Methoxyphenol <90-05-1>
Hitralin    <4726-14-l>
Phenylacetic acid <103-82-2>
Phorate <298-02-2>
Phthalic acid <88-99-3>
Propachlor <1918-16-7>
?ropanil   <709-98-8>
Propazine <139-40-2>
Sinsazine
   <122-34-9>  Acetaldehyde
   <75-07-0>
Acetic acid <64-19-7>
Acetic anhydride  <108-24-7>
Acetone cyanohydrin <75-86-S>
Acetyl bromide   <506-96-7>
Acetyl chloride <75-36-5>
Acrolein <107-02-8>
Acrylonitrile <107-13-1>
Adipic acid <124-04-9>
Aldrin    <309-00-2>
Allyl alcohol <107-18-6>
Allyl chloride <107-05-1>
Aluminum sulfate <10043-01-3>
Ammonia <7664-41-7>
         acetate <631-61-8>
Aramoniuffl bsnzoate <1863-63-4>
Ammonium bicarbonate <1066-33-7>
Amraoniura bichromate <7789-09-5>
Ammonium bifluoride <1341-49-7>
Ammonium bisulfite    <10192-30-0>
Aramoniura carbaraate 
Amraoniuia carbonate <506-87-6>
Ammonium chloride <12125-02-9>
Ammonium chroaate <7788-98-9>
Ammonium citrate <7632-5Q-0>
Ammonium fluoborate <13826-83-0>
Ammonium fluoride <12125-01-8>
Ammonium hydroxide <1336-21-6>
Ammonium oxalate <1113-38-8>
Ammonium silicofluoride
   <16919-19-0>
Ammonium sulfanate    <7773-06-0>
Ammonium sulf ide <12135-76-l>
Ammonium sulfite     <10196-04-0>
Ammonium tartarate <3164-29-2>
Ammonium thiocyanate <1762-95-4>
Ammonium thiosuifate <7783-18-8>
Amyl acetate <628-63-7>
Aniline <62-53-3>
Antimony   pentachloride
   <7647-18-9>
Antimony potassium tartrate
Antimony tribromide <7789-61-9>
Antimony     trichloride
   <10Q25-91-9>
Antimony trifluoride <7783-56-4>
Antimony trioxide <1309-64-4>
Arsenic disulfide <1303-32-8>
Arsenic pentoxide <1303-28-2>
Arsenic trichloride <7784-34-l>
Arsenic trioxide <1327-53-3>
Benomyl <17804-35-2>
Benzac  <50-31-7>
Benzole acid <65-85-0>
Benzonitrile <100-47-0>
BenzoyI chloride <98-88-4>
Benzyl chloride <100-44-7>
Beryllium chloride <7787-47-5>
Beryllium fluoride <7787-49-7>
Beryllium nitrate <13597-99-4>
Butyl acetate <123-86-4>
Butylanine <109-73-9>
H-Butyl phthalate <84-74-2>
Butyric acid <107-92-6>
Cadmium acetate <543-90-8>
Cadmlus bromide     <7789-42-6>
                         1106

-------
                         Accession No.  9043000501
                  (cont)
Cadmium chloride
Calcium arsenate   <7778-44-l>
Calcium arsenite <52740~16-6>
Calcium carbide <75-20-7>
Calcium chromate <13765-19-0>
Calcium cyanide   <592-01-8>
Calcium dodecylbenzenesulfonate
   <262€4~06-2>
Calcium hydroxide <1305-62-0>
Calcium hypochlorite <7778-54-3>
Calcium oxide <1305-78-8>
Captan <133-06-2>
Carbaryl <63-25~2>
Carbofuran <1563-66-2>
Carbon disulfide <75-15-0>
Carbon tetrachloride <56-23-5>
Chlordane <57-74-9>
Chlorine    <7782-5Q-5>
Chlorobenzene <108-90-7>
Chloroform <67-66-3>
Chlorosulfonic acid <7790~94-5>
Chlorpyrifos <2921-88-2>
Chromic acetate <1066~30-4>
Chromic acid <7738-94-5>
Chromic sulfate <10101-53-8>
Chromous chloride <10049-05-5>
Cobaltous bromide <7789-43-7>
Cobaltous formate  <544-18-3>
cobaltous sulfaraatg <140l7-41-5>
Coumaphos     <56-72~4>
Cresol <1319-77-3>
Crotonaldehyde <4170-30-3>
Cupric acetate <142-71-2>
Cupric acetoarsenite <12002-03-8>
Cupric chloride <7447-39-4>
Cupric nitrate <3251»23-8>
Cupric oxalate <8i4-91-5>
Cupric sulfate <7758-98-7>
Cupric    sulfate amraoniated
   <10380-29-7>
Cupric tartrate <815-82-7>
Cyanogen chloride <506-77-4>
Cyclohexane <110-82-7>
2,4-D acid <94»75-7>
2,4-D esters
DDT
Diazinon <333-41-5>
Dicamba <1918-00»9>
Dichlobenil <1194-65-6>
Dichlone <117-80-6>
Dichlorobenzene <25321-22-6>
Dichloropropen & Dichloropropane
   mixture
2/2-Dichloropropionic   acid
   <75-99-0>
Dichlorvos (DDVP) <62-73-7>
Dieldrin <60-57-l>
Diethylaraine <109-89-7>
DimethylaiBine <124-40~3>
Dinitrobenzene <25154-54-5>
Dinitrophenoi
Dinitrotoluene  <25321-14-6>
Diquat <2764-72-9>
Disulfoton <298-04-4>
Diuron <330-54-l>
Dodecylbenzenesulfonic acid
   <27176-87-0>
EDTA <60-00-4>
Endosulfan <115-29-7>
Endrin <72-20-8>
Epichlorohydrin <106-89-8>
Ethion <563-12-2>
Ethylbenzene <100-41-4>
Ethylenediamine <107-15-3>
Ethylene dibromide  (EDB)
   <106-93-4>
Sthylene dichloride <107-06-2>
Ferric    aomonium citrate
   <1185-57»5>
Ferric ammonium oxalate
   <14221-47-7>
Ferric chloride <7705-08-0>
Ferric fluoride  <7783-50-8>
Ferric nitrate <10421-48-4>
Ferric sulfate    <10028-22-5>
Ferrous amraoniura sulfate
   <10045-89-3>
Ferrous     chloride <7758-94-3>
Ferrous sulfate <7720-78-7>
Formaldehyde  <50-00-0>
Formic acid <64-18-6>
Fumaric acid <110-17-8>
Furfural <98-Ql-i>
Guthion <86-50»0>
fieptachlor <76-44-8>
Hexachlorocyclopentadiene
   <77-47-4>
Hydrochloric acid <7647«-01-0?
Hydrofluoric acid <7664-39-3>
Hydrogen cyanide     <74-"90-8>
Hydrogen sulfide <1783-06-4>
Isoprene <78-79-S>
                         1107

-------
                         Accession No.   9043000501
                  (cent)
Isopropanolamina Bodecyl benzene
   Sulfonate <54590-52-2>
Kelthane <115-32-2>
Kepone <143-50-Q>
Lead acetate <301-04-2>
Lead arsenate <3687-31-8>
Lead chloride <7758~95-4>
Lead fluoborate <13814-96-5>
Lead fluoride <7783-46-2>
Lead iodide <10101-63-0>
Lead nitrate <10099-74-8>
Lead   stearate <1072-35-l>
Lead sulfate <7446-14-2>
Lead sulfide <1314-87-0>
Lead thiocyanate <592-87-0>
Lindane <58-89-9>
Lithium chroraate <143Q7-35-8>
Malathion <121-75-5>
Maleic acid <110-16-7>
Maleic anhydride   <108-31-6>
Mereaptodimethur <2032-65-7>
Mercuric cyanide <592-04-l>
Mercuric nitrate <10045-94-0>
Mercuric sulfate <7783-35-9>
Mercuric thiocyanate <592-85-8>
Mercurous nitrate  Methoxychlor
   <72-43-5>
Methyl mercaptan <74-93~l>
Methyl  methacrylate <80-62-6>
Methyl parathion <298-00-0>
Mevinphos <7786-34-7>
Mexacarbate <315-18-4>
Monoethylamine    <75-04-7>
Monoraethylamine <74-89-5>
Haled <300-76-5>
Naphthalen <91-20-3>
Naphthenic acid <1338-24-5>
Nickel ammonium sulfate
   <7785-20-8>
Mickel chloride   <7718-54-9>
Nickel hydroxide <12054-48-7>
Nickel nitrate  <13138~45-9>
Sickel sulfate <7786-81-4>
Nitric acid <7697-37-2>
Nitrobenzene <98-95-3>
Mitrogen dioxide <10102-44-0>
Kitrophenol <25154-55-6>
Sitrotoluene
Potassium arsenate  <7784-41-0>
Potassium arsenite <10124-50-2>
Potassium bichromate <7778-50-9>
Potassim chrosiate    <7789-00-6>
Potassium cyanide <151-SO-8>
Potassiua hydroxide   <1310-58-3>
Potassium permanganate <7722-64-7>
Propargite <2312-35-8>
Propionic acid <79-09-4>
Propionic anhydride  <123-62-6>
Pyrethrin <121-29-9>
Quinoline <91-22-5>
Resorcinol <108-46-3>
Selenium oxide <12640-89-0>
Silver  nitrate <7761-88~8>
Sodium <7440-23-5>
Sodium arsenate    <7631-89-2>
Sodium arsenite <7784-46-5>
Sodium bichromate <10588-01-9>
Sodium bifluoride <1333-83-l>
Sodium bisulfite    <7631-90-5>
Sodium chromate <7775-ll-3>
Sodium cyanide    <143-33-9>
Sodium dodecylbenzenesulfonate
   <25155-30-0>
Sodium fluoride <7681-49-4>
Sodium hydrosufide <16721-80-5>
Sodium hydroxide <1310-73-2>
Sodium hypochlorite <7681-52-9>
Sodium nethylate <124-41-4>
Sodium nitrite    <7632-00-0>
Sodium phosphate/ dibasic
   <7558-79-4>
Sodium  phosphate, tribaslc
   <7601-54-9>
Sodium selenite <10102-18-8>
Strontium chromate <7789-06-2>
Strychnine <57-24-9>
Styrerie <100-42-5>
Sulfuric acid <7664-93-9>
Sulfur  monochloride <10025-67-9>
TDE <72-54-8>
Tetraethyl   pyrophosphate
   <107-49-3>
Thallium sulfate 7446-18-6>
Toluene <108-88-3>
Toxaphene <8001-35-2>
Trichlorfon <52-68-6>
Trichloroethylene <79-01-6>
Trichlorophenol (TCP)
   <25167-82-2>
2,4,5-Trichlorophenoxyacetic acid
   (T) <93-76-5>
2,4,5-T amines
2,4,5-T esters
                         1108

-------
                         Accession No.   9043000501
                  (cont)
2,4,5-  Trichlorophenoxypropionic
   acid (TP) <93-72-l>
2,4,5-TP     acid esters
Triethanolamine dodecylbenzenesulf
   on-ate  <27323-41-7>
Triethylamine <121-44-8>
Trimethylamine <75-50-3>
Uranyl acetate <541-09-3>
Uranyl nitrate <10102-06-4>
Vanadium pentoxide <1314-62-l>
Vanadyl sulfate   <27774-13-6>
Vinyl acetate <108-05-4>
Vinylidene chloride <75-35-4>
Xylene <1330-20-7>
Xylenol <1300-71-6>
Zinc    acetate <5S7~34-6>
Zinc ammonium chloride
Zinc borate     <1332-07-6>
Zinc bromide <7699-45-8>
Zinc carbonate  <3486-35-9>
Zinc chloride <7646-85-7>
Zinc cyanide   <557-21-l>
Zinc fluoride <7783-49-5>
Zinc formate <557-41-5>
Zinc hydrosulfite
   <7779-86-4>+ Zinc nitrate
   <7779-88-6>
Zinc phenol sulfonate <127-82-2>
Zinc phosphide <1314-84-7>
Zinc silicofluoride <16871-71-9>
Zinc sulfate <7733-02-0>
Zirconium nitrate <13746-89-9>
Zirconium potassium fluoride
   <16923-95-8>
Zirconium sulfate <14644-61-2>
Zirconium     tetrachloride
   <10026-ll-6>
Acrylonitrile <107-13-1>
Aldrin <309-00-2>
Aitiitraz (Baam) <33089-61-1>
Aramlte <140-57-8>
Arsenic <7440-38-2>
Arsenic acid <1327-S2-2>
Arsenic pentoxide <1303-28-2>
Arsenic trioxide <1327-53-3>
Benomyl <17804-35-2>
Benzac  <50-31-7>
Cadmium <7440-43-9>
Chloranil <118-75-2>
Chlordane <57-74-9>
Chlorobenzilate <510-15-6>
Chloroform <67-66-3>
Coal tar <8007-45-2>
Creosote <8021-39-4>
ODD(IDE)
DDT
Diallate <2303-16-4>
l/2-Dibromo-3-chloropropane (DBCP)
    <96-12-8>
Dieldrin <60-57-l>
Dlaethoate <60-51-5>
Endrln <72-20-8>
EBDC's (ethylenebisdithiocarbanate
   s)
Ethylene adibromide (EDB)
   <106-93-4>
Ethylene oxide <75-21-8>
EPN (ethyl p-nitrophenyl thiono-
   benzenephosonate) <2104-64-5>
2-Fluoroacetanide (1081)
   <640-19-7>
Heptachlor     <76-44-8>
Kepone 143-50-0>
Lindane <58-89-9>
Maleic hydrazide <123-33-l>
Mirex <2365-85-5>
Honuron     <150-68-5>
Qctanethylpyrophosphoramlde (OMPA)
    <152-16-9>
Pentachloronltrobenzene (PCNB)
   <82-68-8>
Pentachlorophenol <87-86-5>
Phenarsazine chloride <578-94-9>
Pronanide <23950-58-5>
Safrole <94-59-7>
Silvex <93-72-l>
Sodium arsenate <7631-89-2>
Sodium arsenite <7784-46-5>
Sodiuo fluoroacetate (1060)
   <62-74-8>
Strobane <8001-50-1>
Strychnine <57-24-9>
Thiophanate methyl <23564-05-8>
Toxaphenc <8001-35-2>
2,4,5-Trichlorophenol <95-95-4>
2f4f5-Trichlorophenoxyacetic acid
   (T) <93-76-5>
Trifluraline (treflan) <1582-09-8>
Trysben <50-3l-7>
Carbofuran <1563-66-2>
Chlorpyrifos <2921-88-2>
2^4-D acid     <94-75-7>
Dialkyl phosphates
Dicanba <1918-00-9>
                         1109

-------
                         Accession Ho.   9043000501
                  (cont)
Ethyl   parathion <56-38-2>
Malathion <121-75-5>
Methyl parathion <298-00-0>
Polychlorinated biphenyls (PCBs}
Propoirur <114-26-l>
Acetaldehyde <75-07-0>
icrolein <107-02-8>
Acrylonitrile  <107-13-1>
Antimony <744Q-36-Q>
Arsenic <7440-38-2>
Asbestos <1332-21-4>
Benzene <71-43-2>
Benzidine <92-87-5>
Benzyl chloride <100-44-7>
Cadmium <7440-43-9>
Chlorinated     ethanes
Chlorinated naphthalenes
Chloroethane  <75-00-3>
Chlorof luorocarbons
Chloroform < 67-66- 3>
Chlorome thane <74-87-3>
Chloroprene <126-99-8>
Chromium   <7440-47-3>
o-Cresol <95-48-7>
m-Cresol <108-39-4>
p-Cresol   <106-44-5>
lj2-Dibronio-3-chloropropane (DBCP)
1^2-Dichlorobenzene <95-50-l>
1,3-Dichlorobenzene <541-73-l>
1^4-Dichlorobenzene <10€-46-7>
1,1-Dichloroethane <75-34-3>
1,2-Dichloro ethane <107-06-2>
Olchlorofflethane <75-09-2>
1,2-Dichloropropane <78-87-5>
2^4-Dinitrotoluene <121-14-2>
Dioxin < 82 8-00 -2 >
Ethylnenzene <100-41-4>
Formaldehyde    <50-00-0>
Hexachlorobenzene <118-74-l>
Hexachlorobutadiene     <87-68-3>
Hexachlorocyclopentadiene
   <77-47-4>
Hexachloroethane <67-72-l>
Isophorone <78-59-l>
Lead <7439-92-l>
Maleic anhydride <108-3J.-6>
Mercury <743 9- 97-6>
Methyl    iodide <74-88-4>
Nitrobenzene < 98-95- 3>
2-Kitropropane    <79-46-9>
Phosgene <75-44-5>
Polybrorainated biphenyls (PBBs)
Polychlorinated biphenyls (PCBs)
1,1,2f2-Tetrachloroethane
   <79-34-5>
Toluene <108-88-3>
Trichloroethane <25323-89-l>
1,1,1-Trichloroethane <71-55-6>
1,1,2-frichloroethene <79-01-6>
Vinylidece chloride <75-35-4>
o-Xylene <95-47-6>
ro-Xylene <108-38-3>
p-Xylene <106-42-3>
Cacodylic acid <75-60-5>
Captan <133-06-2>
Carbaryl <63-25-2>
Carbon tetrachloride <56-23-5>
Dichlorvos (DD?P) <62-73-7>
Erbon <136-25-4>
Methane arsonates
Paraquat <4685-14-7>
Perthane <72-56-0>
Plperonyl butoxide     <51-03-6>
Ronel <299-84-3>
Rotenone <83-79-4>
frlallate  <2303-17-5>
SsS,S-trlbutyl phosphorotrithioate
    <78-48-8>
Trichlorfon 
-Trichlorfon <52-68-6>
Triputyl phosophorotrithioate
   <78-48-8>
Acetaldehyde <75-07-0>
Acetone <67-64-l>
Acetonitrile     <75-05-8>
Acetophenone <98-86-2>
2-Acetylaminoflourene
Acetyl chloride <75-36-5>
Acrolein  <107-02-8>
Acrylanide <79-06-l>
Acrylic acid <79-10-7>
Acrylonitrile <107-13-1>
Aldrin <309-00-2>
Allyl alcohol  <107-18-6>
Aluminum phosphide <20859-73-8>
5-
4-Aminopyridine    <504-24-5>
                         1110

-------
                         Accession No.   9043000501
                  (cent)
   8-
                    8b-hexahydro-
   (hydroxyinethyl)8-raethoxy-5-
   raethyl-carbamate arirlno
   indole-4^7-dione (ester)
Amitrole <61-82-5>
Ammonium picrate <131-74~8>
Aniline     <62~53-3>
Arsenic acid <1327~52-2>
Arsenic pentoxide <1303-28-2>
Arsenic trioxide <1327-53-3>
Asbestos    <1332-21~4>
Auranine <2465-27-2>
Azaserine <115-02-6>
Barium cyanide <542-62-l>
Ben2tc3 acridine  <225-51-4>
Benzal chloride <98-87-3>
Benzene <71-43-2>
Benzenesulfonyl chloride <98-09-9>
Snzenethiol <108-98-5>
Benzidine <92-87-5>
Ben?o(a)anthracene <56-55-3>
BenzoCalpyrene <50-32-8>
Benzotrichloride <98-07-7>
Beryllium dust
Bis(2-chloroethozy)raethane
Bis(2-chloroethyl) ether
n.n-bisC2-chloroethyl)-2-naphthyla
   nine <494-03-l>
bis(2-chloroisopropyl) ether
   <39638-32-9>
bi sCchloromethyl )e ther <542-88-l>
Bis(2-ethylhexyl)phthalate
bronioacetone <598-31-2>
brotnoffl ethane <74-83-9>
4-bromophenyl phenyl ether
   <101-55-3>
brucine <357-57-3>
2-butanone peroxide <1338-23-4>
n- Butyl alcohol <71-36-3>
2-sec Butyl~4,6-dinitrophenol
   <88-85-7>
calcium chronate <13765-19-0>
calcium cyanide <592-01-8>
carbob disulfide <75-15-0>
carbonyl fluoride <353-SO-4>
chloroacetaldehyde <107-20-0>
chloral <75-87-6>
chloranbucil <305-03-3>
chloranil<118-7§-2>
chlordane <57*74-9>
P-chioroaniline <106-47-8>
chlorobenzilafe <510-15*6>
l-Cp«chloroben2oyl)-5-methoxy-2 -
   methylindole-3-ac©tic acid
chloredibroiioBs®thane <124-4fJ-l>
l-chloro-2^3-epoxypropane
chloroethene <75-01-4>
chloroethyl vinyl ether <110-75-8>
chloroform <67-66-3>
p-ehloro-ffl-cresol <59-50-7>
chloromethane <74-87-3>
chloromethyl methyl ether
   <107-30-2>
2-chloronaphthalene   <91-58-7>
2-chlorophenol <95-57-8>
l-(o-chloropehnyl)     thiourea
   <5344-82-l>
3-chloropropionitrile <542-76-7>
.alpha.-chlorotoluene <100-44-7>
4-chloro-o-toluldine hydrochloride
    <3165-93-3>
chrysene <218-01-9>
cooper cyanide   <544-92-3>
Cresylic acid <1319-77-3>
Crotonaldehyde  <4170-30-3>
curaene <98-82-8>
cyanide <57-12-5>
cyanogen  <460-19-5>
cyanogen bromide <506-68-3>
cyanogen chloride  <506-77-4>
cyclohexane <110-82-7>
cyclohexanone <108-94-l>
2-cyclohexyl-4^6-dinitrophenol
   <131-89-5>
cyclophosphamlde <50-18-0>
ddd(tde)
ddt
datinomvcin <20830-81-3>
diallate <2303-16~4>
dibenzoCa^h^anthracene 
dibenzoIta^i]     pyrene
   <189-55-9>
dlbronochlorOHethane <124-48-l>
l,2-dibrcrao-3-chloropropane 
    <96-12-8>
1,2-dibromoethane  <106-93-4>
dibronoaethane <74-95-3>
di-n-butyl phthalate  <84-74-2>
                         1111

-------
                         Accession Mo.  9043000501
                  (cont)
1,2-dichlorobenzene <95-50-l>
1, 3-dichlorobenzene    <541-73-l>
1,4-dichlorobenzene <106-46-7>
3,3'- dichlorobenzidine <91-94-l>
l,4-dichloro-2-butene  <110-57-6>
dichlorodifluorone thane <75-71-8>
1,1-dichloroethane  <75-34-3>
1,2-dichloro ethane <107-Q6-2>
1,1-dichloroethylene   <75-35-4>
l,2~trans-dichloroethylene
   <156-60-5>
dichlororae thane <75-09-2>
2,4-dichlorophenol <120-83-2>
1, 6-dichlorophenol<87-65~0>
2,4-dichiorophenoxyacetic acid (2,
   4-d) <94-7S-7>
dichlorophenylarslne <696-28-6>
1,2-    dichloropropane <78-87-5>
1,3-dichloropropene <542-75*6>
dieldclu <60-57-l>
diepoxybutan« <1464-53-5>
diethylarsine
1,2-diethylhydrazlne <1615~80-1>
0, 0-diethyl-s-(2-ethylthlo)
   ethyl)ester of phosphor othioic
   acid
0,0-diethyl-s-nethyl   ester of
   phosphorodithioic acid
0,0-dlethyl-0-(2-pyra*inyl)
   phosphoro-thioate <297-97^2>
0,0-diethyl phosphoric acid,  0-p-
   nitrophenyl ester <311-45-5>
dlethyl phthalate <84-66-2>
diethylstilbestrol <56-53-l>
dihydrosafrole <94-58-6>
3,4 di hydroxy- alpha- (methyl am ino) -
   methyl benzyl alcohol
dl-lsopropylfluoro phosphate
   <55-91-4>
dimethoate <60-51-5>
3, 3 '-dime thoxybenzidine <1 19-90- 4>
3,3-dlnethyl*l(methylthio)   -2-
   butanone-O-C(methylamino)
   carbonyl3dxiiae <39196-18-4>
dime thy lam in e <124-40-3>
P-dinethylaninoazobenzene
7, 12-dimethylbenzCal anthracene
   <57-97-6>
3,3*-   dime thy Ibenzidlne
   <119-93-7>
• alpha*,.alpha.-    diaethylbenzyl
   hydro-peroxide <80-15-9>
dimethylcarbamoyl    chloride
   <79-44-7>
1,2-dimethylhydrazine <540-73-8>
dinethylcitrosoaaine <62-75-9>
• alpha.,.alpha.-  dimethyIphenethy
   lamine <122-09-8>
2,4-dimethylphenol  <105-67-9>
dimethyl phthalate <131-ll-3>
dimethyl sulfate <77-78-l>
4,6-dinitro-o-cresol <534-52-l>
2,4-dinitrophenol    
2,4-dinitrotoluene <121-14-2>
2,6-dinitrotoluene     <606-20-2>
di-n-octyl phthalate <117-84-0>
1,4-dioxane    <123-91-1>
1,2-diphenylhydrazine <122-66-7>
dlpropylanine <142-84-7>
di-n-propylnitrosamlne <621-64-7>
2,4-dithiobiuret <541-53-7>
endosulfan <115-29-7>
endrin <72-20-8>
ethyl acetate <14lV78-6>
ethyl acrylate <140-88-5>
ethylcyanide <107^12-0>
ethylene bisdlthiocarbanate
ethylenedianine <107-15-3>
ethylene inline 
ethylene oxide <75-21-8>
ethylene     thiourea <96-45-7>
ethyl ether <60-29-7>
ethyl methacrylate    <97-63-2>
ethyl methanesulfonate <62-50-0>
ferric cyanide
fluoranthene <206-44-0>
fluorine <7782-41-4>
2-fluoroacetamide (1081)
   <640-19-7>
fluoroacetic acid,     sodiun salt
fluorotrlchloromethane <75-69-4>
formaldehyde <50-00-0>
formic acid <64-18-6>
furan <110-00-9>
furfural     <98-01-l>
glycidylaldehyde
heptachlor <76-44-8>
hexachlorobenzene <118-74-l>
hexachlorobutadiene <87-68-3>
hexachlorocyclohexane <58-89-9>
hexachlorocyclopentadlene
   <77-47-4>
                         1112

-------
                         Accession No.   9043000501
                  (cont)
hexachloroethane <67-72-l>
   8,8a-hexahydro-l,4J5, 8-endo,
   endo-dime thanonaphthalene
hexachlorophene <7Q-30-4>
hexaethyi  tetraphosphate
   <757-58-4>
hydrazine <302-01-2>
hydrocyanic     acid <74-90-8>
hydrofluoric acid <7664-39-3>
hydrogen sulfide  <7783-06-4>
hydroxydimethyl arsine oxide
   <75-60-5>
indeno (1,  2,3-cd)pyrene
   <193-39-5>
iodcme thane <74-88-4>
iron dextran    <9004-66-4>
isobutyl alcohol <78-83-l>
isocyanic acid,    methyl ester
   <624-83-9>
isosafrole <120-58-l>
kepone <143-50-0>
lasiocarpine <303-34-4>
lead acetate <301-04-2>
lead phosphate <7446-27-7>
lead subacetate <1335-32-6>
maleic anhydride <108-31-6>
maleic hydrazide <123-33-l>
malononitrile <109-77-3>
raelphalan <148-82-3>
mercury     <7439-97-6>
mercury fulminate <628-86-4>
nethanethiol     <74-93-l>
methanol <67-56-l>
methapyrilene <91-80-5>
methomyl <16752-77-5>
methoxyphenol <90-05-1>
2-     methylaziridine <75-55-8>
methyl chlorocarbonate <79-22-l>
3-raethylcholanthrene <56-49-5>
4,4'-roethylene-bis-(2- chloroanili
   ne) <101^14-4>
methyl ethyl ketone (mek)
   <78-93-3>
methyl ethyl ketone peroxide
   <1338-23-4>
methyl hydrazine  <60-34-4>
methyl isobutyl ketone <108-10-1>
2-methyllactonitrile <75-86-S>
methyl methacrylate <80-62-6>
2-methyl-2-(niethylthio)propionalde
   hyde-o-(tnethylcarbonyl)oxine
n-»ethyl-n*-nitro-n-nitrosoguaiiidi
   ne <70-25-7>
methyl parathlon <298-00-0>
methylthiouracil <56-04-2>
naphthalene    <91-20-3>
1,4-naphthoquinone <130-15-4>
1-naphthylarrine   <134-32-7>
2-naphthylamine <91-59-8>
l-naphthyl-2-thiourea
   <86-88-4>
nickel carbonyl <12612-55-4>
nickel cyanide     <557-l9-7>
nicotine <54-ll-5>
nitric oxide <10102-43-9>
p-nitroaniline <100-01-6>
nitrobenzene  <98-95-3>
nitrogen dioxide <10102-44-0>
nitrogen peroxide <10102-44-0>
nitrogen tetroxide <10544-72-6>
nitroglycerine    <55-63-0>
4-nitrophenol 
2-nitropropane <79-46-9>
n-nitroscdi-n-butylamine
   <924-16-3>
n-niftrosodiethanolamine
   <1116-54-7>
n-nitrosodiethylaraine <55-18-5>
n-  nitrosodimethylaiBlne <62-75-9>
n-nitrosodiphenylamine <86-30-6>
n-nitrosodi-n-propylamine
   <621-64-7>
n-nitroso-n-    ethylurea
   <7S9-73-9>
n-nitroso-n-methylurea <684-93-5>
n-nitroso-n-raethylurethane
   <615-53-2>
n-    nitrosomethylvinylaraine
n-nitrosopiperidine <100-75-4>
n-nitrosopyrrolidine <930-55-2>
5-nitro-o-toluidine   <99-55-8>
octamethylpyrophosphoramide (oapa)
    <152-16-9>
oleyl alcohol condensed Hith 2
   moles ethylene oxide
osmium tetroxide <20816-12-0>
7-oxabicycol(2.2.1)heptane-2,3-
   dicarboxylic acid <145-73-3>
paraldehyde <123-63-7>
parathion  <56-38-2>
pentachlorobenzene <608-93-5>
pentachloroethane <76-01-7>
                         1113

-------
                         Accession No.   9043000501
                  (cont)
pentachloronitrobenzene (pcnb)
   <82-68-8>
pentachlorophenol <87-86-S>
1/3-pentadiene <504-6Q-9>
phenacetin <62-44-2>
phenol <108-95-2>
phenyl dichloroarsine <696-28-6>
phenylmerucry acetate
   <62-38-4>
n-phenylthiourea <103-8S-5>
phorate <298-02-2>
phosgene <75-44-5>
phosphine <7803-51-2>
phosophorothioic acid; 0,0-
   dlmethyl estei> 0-ester kith n,
   n-dimethyl benzene sulfonamide
phosphorus sulfide <1314-80-3>
phthalic anhydride <85-44-9>
2-picoline <109-06-8>
potassium cyanide <15i-50-8>
potassium silver cyanide
   <506-61-6>
ptonamide <2 3950-5 8-5>
1, 2-propanediol <57-55-6>
1^3-propane sultone <1120-71-4>
propionitrile <107-12-0>
n-propylaralne <107-10-8>
2-propyn-l-01 <107-19-7>
pyridine     <110-86-l>
guinones
reserpine <50»55-S>
cesorcinol <108-46»3>
saccharin <81-07-2>
safrole <94-59-7>
selenious acid <7783-00-8>
selenium sulfide <7446-34-6>
selenoucea <630-iO-4>
silver cyanide <506-64-9>
sodium azide <26623»22-8>
sodium cyanide <143-33-9>
streptozotocin <18883-66-4>
strontium sulfide <1314-96-l>
strychnine <57-24-9>
1/2/4/5-tetrachIorobenzene
   <95-94-3>
   <630-20~6>
Iflff2f 2-tetrachloroethane
   <79-34-5>
tetrachloroethene <127-18-4>
tetrachlororaethane <56-23-5>
2^3^4^6-tetrachlorophenol
   
tetraethylyl     dithiopyrophospha
   te <3689-24-5>
tetraethfl lead <78-00-2>
tetraethyl pyrophosphate
   <107-49-3>
tetrahydrofuran   <109-99-9>
tetranitroBiethane <509-14-8>
thallic oxide     <1314-32-5>
thallium acetate <563-68-8>
thallium carbonate
   <29809-42-5>
thallium chloride <7791-12-0>
thalliuia nitrate    <10102-45-l>
thallium selenite
thallium suit ate <7 446-1 8-6 >
thioacetamide <62-55-5>
thiosemicarbazide <79-19-6>
thiourea   <62-56-6>
thiuraai <137-26~8>
toluene <108-88-3>
toluenediamine <25376-45-8>
toluene diisocvanate <26471-62-5>
o-toluidine hydrochloride
   <636-21-5>
toxaphene    <8001-35-2>
tribromomethane <75-»25-2>
1^1,,1-trichloroethane    <71-55-6>
trichloroethane <79~01-6>
trichlorofluorome thane
trichloroaethanethiol <75»70-7>
2ff 4^5-     trichlorophenol
2^4^6-trichlorophenol <88-06-2>
2#4J?S~trichlorophenoxyacetic acid
   Ct) <93-76-5>
2,4#5-     trichlorophenoxypropion
   ic acid Ctp) <93-72-l>
trinitrobenzene   <99-35-4>
trisC2^3-dibromopropyl)phosphate
   <126-72-7>
try pan blue <72»57-l>
uracil mustard <66-75-l>
urethane   <5I-79-€>
vanadic acid <11115-67-6>
vanadium pent oxide <1314— 62-l>
xylene <1330-20-7>
zinc cyanide 
zinc phosphide <1314-84-7>
Arsenic <7440-38-2>
                         1114

-------
                             Accession No.   9043000501     (cent)

    Barium <7440-39-3>                   Manganese and compounds
    Beryllium <7440-41-7>                   <7439-96-5>
    Cadmium <7440-43-9>                  Mercury <7439-97-6>
    Chromium <7440-47-3>                 Nickel <7440-02-0>
    Cobalt <7440-48-4>                   Selenium <7782-49-2>
    Copper <7440-50-8>                   Titanium <7440-32-6>
    Iron <7439-89-6>                     Vanadium <7440-62-2>
    Lead <7439-92-l>
(CAS)  CAS registry numbers of substances included in data base: 50598-5
    0-0; 103-82-2; 501^52-0; 203-12-3;     207-08-9? 205-99-2;
    203-12-3; 191-24-2; 50-32-8; 26914-33-0;     25323-68-6; 110-42-9;
    53-70-3; 95-50-1; 541-73-1; 106-46-7; 86-30-6;       1024-57-3;
    1024-57-3; 506-12-7; 111-14-8; 110-43-0; 627-93-0;    142-62-1;
    108-94-1; 109-99-9; 29336-29-6; 124-48-1; 75-27-4; 75-43-4;
    75-43-4; 75-69-4; 100-51-6; 54518-04-6; 75-09-2; 2234-13-1;
    53156-12-0; 1731-84-6; 57-11-4; 57-11-4; 111-11-5; 1002-84-2;
    25154-43-2; 29590-82-7; 109-52-4; 706-78-5; 198-55-0; 100-02-7;
    25167-83-3; 115-88-8; 126-73-8; 115-86-6; 84-66-2; 193-39-5;
    7704-34-9; 544-63-8; 124-10-7; 120-82-1; 75-07-0; 107-02-8;
    107-13-1;      107-05-1; 100-44-7; 542-88-1; 56-23-5; 108-90-7;
    67-66-3; 126-99-8;   95-48-7; 108-39-4; 106-44-5; 106-46-7;
    75-09-2; 62-75-9; 123-91-1;    828-00-2; 106-89-8; 106-93-4;
    107-06-2; 75-21-8; 50-00-0; 77-47-4;    108-31-6; 7439-96-5;
    71-55-6; 74-88-4; 7440-02-0; 98-95-3; 79-46-9;   55-18-5; 684-93-5;
    59-89-2; 127-18-4; 108-95-2; 75-44-5; 108-88-3;    75-35-4;
    1330-20-7; 95-47-6; 108-38-3; 106-42-3; 75-56-9; 79-01-6;
    71-43-2; 7440-41-7; 7439-97-6; 75-01-4; 83-32-9; 208-96-8;
    107-02-8;       107-13-1; 309-00-2; 120-12-7; 7440-36-0; 7440-38-2;
    1332-21-4;   319-84-6; 319-85-7; 58-89-9; 319-86-8; 71-43-2;
    92-87-5; 56-55-3;     205-99-2; 207-08-9; 191-24-2; 50-32-8;
    7440-41-7; 111-91-1; 111-44-4;      39638-32-9; 542-88-1; 117-81-7;
    74-83-9; 101-55-3; 85-68-7;      7440-43-9; 56-23-5; 57-74-9;
    108-90-7; 124-48-1; 75-00-3; 110-75-8;    67-66-3; 59-50-7; 74-87-3;
    91-58-7; 95-57-8; 7005-72-3; 7440-47-3;    218-01-9; 7440-50-8;
    57-12-5; 72-54-8; 72-55-9; 50-29-3; 53-70-3;     84-74-2; 95-50-1;
    541-73-1; 106-46-7; 91-94-1; 75-27-4; 75-71-8;      75-34-3;
    107-06-2; 75-35-4; 156-60-5; 75-09-2; 120-83-2; 78-87-5;
    563-54-2; 60-57-1; 84-66-2; 105-67*9; 131-11-3; 534-52-1; 51-28-5;
    121-14-2; 606-20-2; 117-84-0; 122-66-7; 959-98-8; 33213-65-9;
    1031-07-8; 72-20-8; 7421-93-4; 100-41-4; 206-44-0; 86-73-7;
    76-44-8;       1024-57-3; 118-74-1; 87-68-3; 77*47-4; 67-72-1;
    193-39-5; 78-59-1;    7439-92-1; 7439-97-6; 91-20-3; 7440-02-0;
    98-95-3; 88-75-5; 100-02-7;      62-75-9; 86-30-6; 621-64-7;
    87-86-5; 85-01-8; 108-95-2; 12674-11-2;   11104-28-2; 11141-16-5;
    53469-21-9; 12672-29-6; 11097-69-1;      11096-82-5; 129-00-0;
    7782-49-2; 7440-22-4; 79-34-5; 127-18-4;   7440-28-0; 108-88-3;
    8001-35-2; 75-25-2; 120-82-1; 71-55-6;  79-00-5;       79-01-6;
    75-69-4; 88-06-2; 75-01-4; 7440-66-6; 7727-37-9; 7723-14-0;
    7440-38-2; 7440-39-3; 7440-43-9; 7440-47-3; 94-75-7; 72-20-8;
    7439-92-1; 58-89-9; 7439-97-6; 72-43-5; 14797-55-8; 7782-49-2;
    7440-22-4; 93-72-1; 8001-35-2; 67-64-1; 7429-90-5; 7664-41-7;
    7440-39-3; 92-52-4; 7440-69-9; 7440-42-8; 7726-95-6; 7782-50-5;


                             1115

-------
                         Accession No.  9043000501     (cont)

7440-48-4; 94-75-7; 8065-48-3; 132-64-9; 101-84-8; 86-50-0;
7439-89-6; 143-50-0; 7439-93-2; 121-75-5; 7439-96-5; 72-43-5;
78-93-3; 2385-85-5; 7439-98-7; 56-38-2; 7723-14-0; 7440-23-5;
100-42-5; 93-72-1; 7440-62-2; 56-23-5; 108-90-7; 95-50-1; 541-73-1;
106-46-7; 107-06-2; 10043-92-2; 127-18-4; 71-55-6; 79-01-6;
7440-61-1; 75-01-4; 15972-60-8; 1912-24-9; 1918-00-9; 1861-40-1;
108-86-1; 28906-38-9; 75-27-4; 23184-66-9; 124-48-1; 21725-46-2;
84-74-2; 156-59-2; 156-60-5; 594-04-7; 84-66-2; 38622-18-3;
75-00-3;       90-05-1; 4726-14-1; 103-82-2; 298-02-2; 88-99-3;
1918-16-7; 709-98-8;      139-40-2; 122-34-9; 75-07-0; 64-19-7;
108-24-7; 75-86-5; 506-96-7;    7S-36-5; 107-02-8; 107-13-1;
124-04-9; 309-00-2; 107-18-6; 107-05-1;       10043-01-3;
7664-41-7; 631-61-8; 1863-63-4; 1066-33-7; 7789-09-5;
1341-49-7; 10192-30-0; 1111-78-0; 506-87-6; 12125-02-9; 7788-98-9;
7632-50-0; 13826-83-0; 12125-01-8; 1336-21-6; 1113-38-8;
16919-19-0;       7773-06-0; 12135-76-1; 10196-04-0; 3164-29-2;
1762-95-4; 7783-18-8;   628-63-7; 62-53-3; 7647-18-9; 11071-15-1;
7789-61-9; 10025-91-9;      7783-56-4; 1309-64-4; 1303-32-8;
1303-28-2; 7784-34-1; 1327-53-3;     17804-35-2; 50-31-7; 65-85-0;
100-47-0; 98-88-4; 100-44-7; 7787-47-5;      7787-49-7; 13597-99-4;
123-86-4; 109-73-9; 84-74-2; 107-92-6;    543-90-8; 7789-42-6;
7778-44-1; 52740-16-6; 75-20-7; 13765-19-0;      592-01-8;
26264-06-2; 1305-62-0; 7778-54-3; 1305-78-8; 133-06-2;
63-25-2; 1563-66-2; 75-15-0; 56-23-5; 57-74-9; 7782-50-5; 108-90-7;
67-66-3; 7790-94-5; 2921-88-2J 1066-30-4; 7738-94-5; 10101-53-8;
10049-05-5; 7789-43-7; 544-18-3; 14017-41-5; 56-72-4; 1319-77-3;
4170-30-3; 142-71-2; 12002-03-8; 7447-39-4; 3251-23-8; 814-91-5;
7758-98-7; 10380-29-7; 815-82-7; 506-77-4; 110-82-7; 94-75-7;
333-41-5; 1918-00-9; 1194-65-6; 117-80-6; 25321-22-6; 75-99-0;
62-73-7; 60-57*1; 109-89-7; 124-40-3; 25154-54-5; 25321-14-6;
2764-72-9; 298-04-4; 330-54-1; 27176-87-0; 60-00-4; 115-29-7;
72-20-8; 106-89-8; 563-12-2; 100-41-4; 107-15-3; 106-93-4;
107-06-2;       1185-57r5; 14221-47-7; 7705-08-0; 7783-50-8;
10421-48-4; 10028-22-5;       10045-89-3; 7758-94-3; 7720-78-7;
50-00-0; 64-18-6; 110-17-8;    98-01-1; 86-50-0; 76-44-8; 77-47-4;
7647-01-0; 7664-39-3; 74-90-8;    7783-06-4; 78-79-5; 54590-52-2;
115-32-2; 143-50-0; 301-04-2;    3687-31-8; 7758-95-4; 13814-96-5;
7783-46-2; 10101-63-0; 10099-74-8;       1072-35-1; 7446-14-2;
1314-87-0; 592-87-0; 58-89-9; 14307-35-8;       121-75-5; 110-16-7;
108-31-6; 2032-65-7; 592-04-1; 10045-94-0;   7783-35-9; 592-85-8;
72-43-5; 74-93-1; 80-62-6; 298-00-0; 7786-34-7;       315-18-4;
75-04-7; 74-89-5; 300-76-5; 91-20-3; 1338-24-5; 7785-20-8;
7718-54-9; 12054-48-7; 13138-45-9; 7786-81-4; 7697-37-2; 98-95-3;
10102-44-0; 25154-55-6; 7784-41-0; 10124-50-2; 7778-50-9;
7789-00-6;       151-50-8; 1310-58-3; 7722-64-7; 2312-35-8;
79-09-4; 123-62-6;    121-29-9; 91-22-5; 108-46-3; 12640-89-0;
7761-88-8; 7440-23-5;   7631-89-2; 7784-46-5; 10588-01-9;
1333-83-1; 7631-90-5; 7775-11-3;    143-33-9; 25155-30-0;
7681-49-4; 16721-80-5; 1310-73-2; 7681-52-9;    124-41-4;
7632-00-0; 7558-79-4; 7601-54-9; 10102-18-8; 7789-06-2;
57-24-9; 100-42-5; 7664-93-9; 10025-67-9; 72-54-8; 107-49-3;
108-88-3; 8001-35-2; 52-68-6; 79-01-6; 25167-82-2; 93-76-5;


                         1116

-------
                         Accession No.  9043000501     (cont)

93-72-1;       27323-41-7; 121-44-8; 75-50-3; 541-09-3; 10102-06-4;
1314-62-1;       27774-13-6; 108-05-4; 75-35-4; 1330-20-7;
1300-71-6; 557-34-6;   1332-07-6; 7699-45-8; 3486-35-9; 7646-85-7;
557-21-1; 7783-49-5;      557-41-5; 7779-86-4; 7779-88-6; 127-82-2;
1314-84-7; 16871-71-9;      7733-02-0; 13746-89-9; 16923-95-8?
14644-61-2; 10026-11-6; 107-13-1;       309-00-2; 33089-61-1;
140-57-8; 7440-38-2; 1327-52-2; 1303-28-2;      1327-53-3;
17804-35-2; 50-31-7; 7440-43-9; 118-75-2; 57-74-9;    510-15-6;
67-66-3; 8007-45-2; 8021-39-4; 2303-16-4; 96-12-8; 60-57-1;
60-51-5; 72-20-8; 106-93-4; 75-21-8; 2104-64-5; 640-19-7; 76-44-8;
58-89-9; 123-33-1; 2385-85-5; 150-68-5; 152-16-9; 82-68-8; 87-86-5;
578-94-9; 23950-58-5; 94-59-7; 93-72-1; 7631-89-2; 7784-46-5;
62-74-8; 8001-50-1; 57-24-9; 23564-05-8; 8001-35-2; 95-95-4;
93-76-5;      1582-09-8; 50-31-7; 1563-66-2; 2921-88-2; 94-75-7;
1918-00-9;    56-38-2; 121-75-5; 298-00-0; 114-26-1; 75-07-0;
107-02-8; 107-13-1;   7440-36-0; 7440-38-2; 1332-21-4; 71-43-2;
92-87-5; 100-44-7;     7440-43-9; 75-00-3; 67-66-3; 74-87-3;
126-99-3; 7440-47-3; 95-48-7;   108-39-4; 106-44-5; 96-12-8;
95-50-1; 541-73-1; 106-46-7; 75-34-3;    107-06-2; 75-09-2;
78-87-5; 121-14-2; 828-00-2; 100-41-4; 50-00-0;    118-74-1;
87-68-3; 77^47-4; 67^72-1; 78-59-1; 7439-92-1; 108-31-6;
7439-97-6; 74-88-4; 98-95-3; 79-46-9; 75-44-5; 79-34-5; 108-88-3;
25323-89-1; 71-55-6; 79-01-6; 75-35-4; 95-47-6; 108-38-3; 106-42-3;
75-60-5; 133-06-2; 63-25-2; 56-23-5; 62-73-7; 136-25-4; 4685-14-7;
72-56-0; 51-03-6; 299-84-3; 83-79-4; 2303-17-5; 78-48-8; 52-68-6;
52-68-6; 78-48-8; 75-07-0; 67^64-1; 75-05-8; 98-86-2; 75-36-5;
107-02-8; 79-06-1; 79-10-7; 107-13-1; 309-00-2; 107-18-6;
20859-73-8;      2763-96-4; 504-24-5; 61-82-5; 131-74-8; 62-53-3;
1327-52-2;      1303-28-2; 1327-53-3; 1332-21-4; 2465-27-2;
115-02-6; 542-62-1;       225-51-4; 98-87-3; 71-43-2; 98-09-9;
108-98-5; 92-87-5; 56-55-3;      50-32-8; 98-07-7; 111-91-1;
111-44-4; 494-03-1; 39638-32-9; 542-88-1;      117-81-7; 598-31-2;
74-83-9; 101-55-3; 357-57-3; 1338-23-4; 71-36-3;       88-85-7;
13765-19-0; 592-01-8; 75-15-0; 353-50-4; 107-20-0; 75-87-6;
305-03-3; 118-75-2; 57-74-9; 106-47-8; 510-15-6; 124-48-1;
106-89-8;       75-01-4; 110-75-8; 67-66-3; 59-50-7; 74-87-3;
107-30-2; 91-58-7;      95-57-8; 5344-82-1; 542-76-7; 100-44-7;
3165-93-3; 218-01-9;     544-92-3; 1319-77-3; 4170-30-3; 98-82-8;
57-12-5; 460-19-5; 506-68-3;      S06-77-4; 110-82-7; 108-94-1;
131-89-5; 50-18-0; 20830-81-3;     2303-16-4; 53-70-3; 189-55-9;
124-48-1; 96-12-8; 106-93-4; 74-95-3;   84-74-2; 95-50-1; 541-73-1;
106-46-7; 91-94-1; 110-57-6; 75-71-8;     75-34-3; 107-06-2;
75-35-4; 156-60-5; 75-09-2; 120-83-2; 87-65-0;     94-75-7;
696-28-6; 78-87-5; 542-75-6; 60-57-1; 1464-53-5; 1615-80-1;
297-97-2; 311-45-5; 84-66-2; 56-53-1; 94-58-6; 55-91-4; 60-51-5;
11g-90-4; 39196-18-4; 124-40-3; 60-11-7; 57-97-6; 119-93-7;
80-15-9;       79-44-7; 540-73-8; 62-75-9; 122-09-8; 105-67-9;
131-11-3; 77-78-1;    534-52-1; 51-28-5; 121-14-2; 606-20-2;
117-84-0; 123-91-1; 122-66-7;       142-84-7; 621-64-7; 541-53-7;
115-29-7; 72-20-8; 141-78-6; 140-88-5;       107-12-0; 107-15-3;
151-56-4; 75-21-8; 96-45-7; 60-29-7; 97-63-2;     62-50-0;
206-44-0; 7782-41-4; 640-19-7; 75-69-4; 50-00-0; 64-18-6;


                         1117

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                             Accession Ho«  9043000501     (cont)

    110-OQ-9; 98-01-1; 76-44-8; 118-74-1; 87-68-3| 58-89-9; 77-47-4|
    67-72-l| 70-30-4; 757-58-4; 302-01-2; 74-90-8| 7664-39-31
    7783-06-4;       75-60-5; 193-39-5; 74-88~4| 9004-66-4* 78-83-1;
    624-83-9| 120-58-1;   143-50-0; 303-34-4; 301-04-2; 7446-27-7;
    1335-32-6; 108-31-6;    123-33-1; 109-77-3; 148-82-3; 7439-97-6;
    628-86-4; 74-93-1; 67-56-1;       91-80-5; 16752-77-5; 90-05-1;
    75-55-8; 79-22-1; 56-49-5; 101-14-4;    78-93-3; 1338-23-4;
    60-34-4; 108-10-1; 75-86-5; 80-62-6; 70-25-7;     298-00-0;
    56-04-2; 91-20-3; 130-15-4; 134-32-7; 91-59-8; 86-88-4;
    12612-55-4; 557-19-7; 54-11-5; 10102-43-9; 100-01-6; 98-95-3;
    10102-44-0; 10102-44-0; 10544-72-6; 55-63-0; 100-02-7; 79-46-9;
    924-16-3; 1116-54-7; 55-18-5; 62-75-9; 86-30-6; 621-64-7; 759-73-9;
    684-93-5; 615-53-2; 100-75-4; 930-55-2; 99-55-8; 152-16-9;
    20816-12-0; 145-73-3; 123-63-7; 56-38-2; 608-93-5; 76-01-7;
    82-68-8;       87-86-5; 504-60-9; 62-44-2; 108-95-2; 696-28-6;
    62-38-4; 103-85-5;    298-02-2; 75-44-5; 7803-51-2; 1314-80-3;
    85-44-9; 109-06-8; 151-50-8;      506-61-6; 23950-58-5; 57-55-6;
    1120-71-4? 107-12-0; 107-10-8;    107-19-7; 110-86-1; 50-55-5;
    108-46-3; 81-07-2; 94-59-7; 7783-00-8;   7446-34-6; 630-10-4;
    506-64-9; 26628-22-8; 143-33-9; 18883-66-4;      1314-96-1;
    57-24-9; 95-94-3; 630-20-6; 79-34-5; 127-18-4; 56-23-5;    58-90-2;
    3689-24-S; 78-00-2; 107-49-3; 109-99-9; 509-14-8; 1314-32-5;
    563-68-8; 29809-42-5; 7791-12-0; 10102-45-1; 7446-18-6; 62-55-5;
    79-19-6; 62-56-6; 137-26-8; 108-88-3; 25376-45-8; 26471-62-5;
    636-21-5; 8001-35-2; 75-25-2; 71-55-6; 79-01-6; 75-69-4; 75-70-7;
    95-95-4; 88-06-2; 93-76-5; 93-72-1; 99-35-4; 126-72-7; 72-57-1;
    66-75-1; 51-79-6; 11115-67*6; 1314-62-1; 1330-20-7; 557-21-1;
    1314-84-7; 7440-38-2; 7440-39-3; 7440-41-7; 7440-43-9; 7440-47-3;
    7440-48-4; 7440-50-8; 7439-89-6; 7439-92-i; 7439-96-5; 7439-97-6;
    7440-02-0? 7782-49-2; 7440-32-6; 7440-62-2

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                             Accession No.   9045000910

(DQ)  Date of Questionaire: 12-02-82
(8AM)  Name of Data Base of Model: Discharge Monitoring Report  Files
(&CR)  Acronym of Data Base or Model;  DMRFILE
(MED)  Media/Subject of Data Base or Model:  Effluents point  source
    discharges
(ASS)  Abstract/overview of Data Base or Model:  Files contain discharge
    monitoring reports   (DMRs) submitted by holders  of National
    Pollutant Discharge Elimination System (NPDES)  permits.     It
    contains chemical analyses of the effluents     for  those parameters
    limited by their permit-any  pollutants  limited by  a permit would
    be included»
CCTC)  CONTACTS:  Subject matter   J.R« Patrick,  Jr.  (404)881-3973>
    Computer-related  J.R.  P
(DTP)  Type of data collection or monitoring; Point source data
    collection industrial and municipal
CSTA)  Data Base  status: Operational/ongoing
CNPP)  Won-pollutant parameters included in  the  data  base: Biological
    data ^Collection method ;Compliance data ^Concentration  measures $
    Discharge points |Floa rates ;Geographic subdivision ?Industry }
    Inspection data ^Manufacturer ^Political subdivisions ^Production
    levels ; Sampling date ;Site description ;Temperature
    ;Test/analysis method ;  Treatment devices ;Use ;Volujne/raass
    measures
CDS)  Time period covered by data bases 01-01-74 fO 09-30-80
CTRM)  Termination of data collections Not anticipated
(FRQ)  Frequency  of data collection or sampling: quarterly ;0ther
    Monthly for major sampling
(NOB)  Number of  observations in data bases  600000,{Estimated)
CHEI)  Estimated  annual increase of observations in data base:  100000.
(INF)  Data base  includes*  Ran data/observations ^Summary aggregate
    observations
(UTS)  Total number of stations or sources covered  in data base: 15000,,
(NCS)  Mo. stations or sources currently originating/contributing data;
    10000(()1800  (majors),)
(NOT)  Number of  facilities covered in data  base (source monitoring): 15
    000,
(GEO)  Geographic coverage of data base: Selected federal region Region
    IV
(LOC)  Data elements identifying location of station  or source  include:
    State ;County jCity ;Town/township ^Street address  ^Coordinates
    Latitude and  Ion Project identifier
(FAC)  Data elements identifying facility include:  Plant facility name
    jPlant location ^Parent corp name >Parent corp  location  ^   Street
    address ^SIC  code iNPDES
(CDE)  Pollutant  identification data are: Uncoded
(LIM)  Limitation/variation in data of which user should be  aware: None
(ANL)  Lab analysis based on EPA-approved or accepted methods?  YES
(PRE)  Precision: Precision and accuracy estimates  exist but are not
    included in data base
(EDT)  Editting:  No known edit procedures exist*
(CBY)  Data collected by: Self reporting discharge  monitoring report
    data |State agency inspections data } Regional  office Region IV#


                             1119

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                             Accession No.   9045000910      (cont)

    Surveillance and Analysis Lab  Inspection data  ;      Contractor  lab
    headquarters Inspection contractor /Contractor  inspections  ;
    EPA headquarters National Enforcement Investigations  Center
(ABY)  Data analyzed by:  self reporting discharge monitoring  report
    data
    State agency inspection data
    Regional office Region IT,  Surveillance and Analysis  Lab
    Inspections
    Contractor lab inspections
    Contractor inspections
    EPA headquarters National Enforcement Investigations  Center
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data  collection:  Compliance or  enforcement
(AUT)  Authorization for  data collection: Statutory authorization  is P
    L 92-500 as amended.  Section 308 {Clean Water  Act-CWA)
(QMB)  Data collected/submitted using  OMB-approved  EPA  reporting forms:
    1S8-R-0073
(REP)  Form of available  reports and outputs of data  base:  Unpublished
    reports Inspection Report (for inspection)  Discharge  Monitoring
    Report data used for  effluent guidelines reports; 208 plans.
(NOS)  dumber of regular  users  of data base: 15 offices
(USR)  Current regular users of data base:  EPA  headquarter  offices
    Effluent Guidelines Division; Office of  Enforcement
    EPA regional offices
    EPA laboratories
    States
    EPA lab: National Enforcement Investigations Center
(CNF)  Confidentiality of data  and limits on access:  So limits  on
    access to data
(DLC)  Primary physical location of data: Regional  office
(DST)  Form of data storage: original  form (hardcopy, readings)
(DAC)  type of data access: Manually
(CHG)  Direct charge for  non-EPA use:  no
(OPDT)  Frequency of data base master  file up-date: Semi-annually
(RSS)  Related EPA automated systems which use  data base: Permit
    Compliance System II    (PCS II); System for Consolidated  Permitting
    and  Enforcement (SCOPE).
(RDBEPA)  Related EPA data bases used  in conjunction  with this  data  base
    Pernit Compliance System (PCS); STORET (Storage Retrieval of Hater
    Quality Data),

-------
                             Accession No.  9045000910     Ccont)

(HAT)  Substances represented in data base:
    biological oxygen demand             nickel<7440-02-0>
       (BOO)                             ph
    chromiura<7440-47-3>                  suspended solids
    cyai!lde<57-12-5>
(CAS)  CAS registry numbers of substances included in data base: 7440-47
    -3; 57-12-Si 7440-02-0
(CNM)  Contact nane(s): Patrick, J.R.   ;    Patrick,J.R.
(COR)  Contact organization: Enforcement Division, Region IT
(ROR)  Responsible Organization: Region IV.Uater Management Division*
                             1121

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                             Accession Mo.   9046000006


-------
                             Accession Ho,  9046000006     (cent)

(EOT)  Edittings Edit procedures used but undocumented.
CC8Y)  Data collected byl State agency all states in region IV and
    their contractors ^Regional office Regi
(ABY)  Data analyzed bys Regional office Region IV, Mater Division

    arsenic<7440-38-2>
    cadmium<7440-43-9>
    chromiura<7440-47-3>
    copper<7440-50-8>
    cyanide<57-12-5>
    dissolved oxygen
    dissolved solids
    fecal conform
    lead<7439-92-l>
    raanganese<7439-96-5>
    mercury<7439-97-6>
    nickel<7440-02«0>
    nitrogen<7727-37-9>
    oil and grease
    oxygen demand
    PH
    phenol<108-95-2>
    phosphorus<7723-14-0>
    silver<7440-22-4>
    suspended solids


                             1123

-------
                             Accession No.  9046000006     (cont)

    zinc<7440-66-6>
(CAS)  CAS registry numbers of substances includec in data base:  7664-41
    -7; 7440-38-2; 7440-43-9; 7440-47-3;   7440-50-8; 57-12-5*
    7439-92-1;  7439-96-5; 7439-97-6; 7440-02-0;       7727-37-9;
    108-95-2; 7723-14-0;  7440-22-4; 7440-66-6
(CKM)  Contact  name(s): O'Connor,J.    ;    0'Connor,J.
(COR)  Contact  organization:  Region IV, Hater Division
(RQR)  Responsible Organization:  Region IV.Mater Management Division*
                             1124

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                             Accession No.   9048000909

(DQ)  Date of Questionaire:  12-02-82
(HAH)  Karae of Data Base of  Model:  Bio assay Studies

    Volume/mass measures ; lethality (LC 50) ^effect (EC 50)
(DS)  Time period covered by data base: 08-01-74 TO 09-30-81
(fRM)  Termination of data collections Mot  anticipated
(FRQ)  Frequency of data collection or sampling: as needed
(NOB)  Number of observations in data base: 349  bioassays. (Estimated)
(NEI)  Estimated annual increase of observations in data base: 70
    (bioassays.)
(INF)  Data base includes: Summary aggregate observations } summary of
    results
(NTS)  Total number of stations or sources  covered in data base: 286
    (or less.)
(NCS)  Mo. stations or sources currently originating/contributing  data:
    (N/A.)
(HOP)  Number of facilities  covered in data base (source monitoring):  20
    0 (or less.)
(GEG)  Geographic coverage of data base: Selected federal region Region
    IV
(LOC)  Data elements identifying location of station or source includes
    State
(FAC)  Data elements identifying facility include: Plant facility  name
    ; Plant location ;Parent  corp name ^Parent corp location ?    Street
    address /SIC code JNPDES
(CDE)  Pollutant identification data are: Other  coding  scheme STORET
    compatible scheme under  development*
    Oncoded
(LIM)  Limitation/ variation  in data of which user should be aware: Basic
    approach at all times. LC 50 (lethality) measures for more than 50%
    of tests-EC 50  (effect) measures for fewer.  Have  more data on
    flow   through tests (31% of data base) than on static   tests
(DPR)  Data collect. /anal, procedures conform to GRD guidelines:  ORD
    Guidelines
                             1125

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                             Accession No.   9048060909     (eont)

(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist for all
    me a stir em en ts
(EOT)  Edittings No known edit procedures exist,
(CBY)  Data collected by: Regional office Surveillance and Analysis
    Laboratory
(ABY)  Data analyzed bys  Regional office Surveillance and Analysis
    Laboratory
CIDL)  Laboratory identifications MO
(AOT)  Authorization for  data collection: Statutory authorization  is P
    L 95-217, Section 308 (Clean Water Act-CMA}
(OMB)  Data collected/submit ted using QMS-approved EPA reporting forms:
    QG
(REP)  Form of available  reports and outputs of data base: Publications
    by survey title
    Unpublished reports sosie combined into  summary
    printouts on request
    Machine-readable raw  data
(NUS)  Number of regular  users of data base: 1 office
(DSR)  Current regular users of data base:  EPA regional offices
(CNF)  Confidentiality of data and limits on access: Uo limits on
    access to data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Magnetic tape  ^Original form (hardcopy#
    readings)
(0AC)  Type of data access: Commercial software Inform 11 application
    being developed ;SPA  hardware IBM 370/  Hater quality parameters
    tracking system software
(CHG)  Cirect charge for  non-SPA use: No
(OPDT)  Frequency of data base master file  up-date: Quarterly
(RDBSPA)  Related EPA data bases used in conjunction with this data base
    STORE! (Storage and Retrieval of Hater  Quality    Data)
(CMP)  Completion of form:
    William H. Peltier
    OFC: EPA/Region IV/Environraental Research Lab-Athens/
    Surveillance and Analysis Division
    AD: College Station Road, Athens, 6A 30613
    PHJ (404)546-2294
(DF)  Date of form completion: 02-01-83
(NMAT)  Number of substances represented in data base: 4
(HAT)  Substances represented in data base;
    alkalinity                           pH
    dissolved oxygen                     total hardness
(C8M)  Contact narae{s)S Lab,E.R.  J    Lab,E.R.
(COR)  Contact organization: Environmental  Research Lab - Athens,  GA
(ROR)  Responsible Organization: Region IV.Snvironmental Services
    Division.
                             1126

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                             Accession No.   9048000910

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Modal:  Listing  of Organic Compounds
    Identified in Region iy
(ACR)  acronym of Data Base  or Model:  LUCIFER
(MED)  Media/Subject of Data Base or Nodal:  Drinking water  ;Sffluents
    industrial and municipal 2Ground Hater  /      Sediment ;Soil
    ;Surface water all types ^Tissue fish
(ABS)  Abstract/Over view of  Data Base or Model;  LUCIFER contains  a
    listing of all organic compounds    identified in all environmental
    samples taken in Region  IV  during January 1971 thru December 1977,
    and analyzed by the Surveillance and Analysis Division  laboratory
    of  Region IV.  Included in the data base are:  name of
    compound/ concentration, sample source,  date sampled,  receiving
    stream, SIC code, CAS number, media sampled, sample type,  project
    type, chemical class, and analytical   method*  Data base  contains
    216 additional pollutants not   listed  here.  Selected  projects
    from 1978, 1979 and 1980 have also been entered,
(CTC)  CONTACTS: Subject matter   E* William Loy, Jr.   (404) 546-3165
    ;     Computer-related  W
(DTP)  Type of data collection or monitoring: Combination/Other  all
    types of data collection
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances  represented in  Data Base: 43 air priority
    chemicals j5 HESHAPS ;129 307 CHA $41 CMA potential criteria ',   21
    drinking water standards j9 potential drinking water ;29 drinking
    water monitoring ;   299 hazardous substances >48 cancelled
    pesticides ;9 monitoring pesticides ;    54 TSCA assessment  ;16
    Pre-RPAR
(NPP)  Non-pollutant parameters included in the data base:  Chemical
    data ^Collection method  ;Compliance data ^Concentration measures j
    Discharge points ;Industry ^Location ;Sampling date jTest/analysis
    me thod
(DS)  Time period covered by data bases 01-01-71 TO 02-20-80
(TRM)  Termination of data collection: Terminated June  *81
(FRQ)  Frequency of data collection or sampling: Other  as time none
    available (when needed)
(NOB)  Number of observations in data base:  8333.(Actual)
(INF)  Data base includes: Raw data/observations £Summary aggregate
    observations
(NTS)  Total number of stations or sources  covered in data  base*  649«
(NCS)  No. stations or sources currently originating/contributing data:
    0.
(MOF)  Number of facilities covered In data base (source monitoring):  18
    9.
(GEO)  Geographic coverage of data base: Selected federal region Region
    IV
(LOC)  Data elements identifying location of station or source include:
    State jCity ;Town/township
(FAC)  Data elements identifying facility include: Plant facility name
    jPlant location jSIC code
(CDS)  Pollutant identification data are: encoded
(LIH)  Limitation/variation in data of which user should be aware:  Colle


                             1127

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                             Accession No.   9048000910     (cont)

    ction method identified/ not entity     collecting, in data
    collection and analysis procedures documentation.
(DPR)  Data collect./anal, procedures conform to QRD guidelines:  Collect
    ion method documented ;Analysis method documented ;QA procedures
    document
(ANL)  Lab analysis based on SPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but are  not
    included in data base
(EOT)  Editting: (io knoHn edit procedures exist.
(CBY)  Data collected by: Regional office Lab Services Branch,
    Surveillance and  Analysis Division, Region
          l,4-dichlorobenzene<106-46-7>
    1, 2,4,~trichlorobenzene<120-82-l>    2,4,7,8-tetr achlorodibenzo-p-
    l,2-dichlorobenzene<95-50-l>            dioxin (tcdd)
    l,2-dichloroethane<107-06~2>         2,4-dichlorophenol<120-83-2>
    If2-dlchloropropane<78-87-5>         2-chloroethylvinyl ether<110-75-8>
    If3-dichlorobenzene<541-73-l>        2-nitrophenol<88-75-5>


                             1128

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                         Accession No.  9048000910
                  (cont)
2-nitropropane<79-46-9>
4,4'-ddd{p,p'tde)
4,4*-dde(p,p'-ddx)<72-55-9>
4,4'-ddt<50-29-3>
4,6-dinitro-o-cresol<534-52-l>
4-nitrophenol<100-02-7>
acenaphthene<83-32-9>
acetaldehyde<75-07-0>
acrylonitrile<107-13-l>
aldrin<309-00-2>
benzene<71-43-2>
bis(2-chloroethoxy)me thane
bis(2-chloroethyl)ether
bis(2-chloroisopropyl) ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bromoiBethane<74-83-9>
carbon tetrachloride<56-23-5>
chlordane<57-74-9>
chloroben2ene<108-90-7>
chlorodibroraomethane<124-48-l>
chloroform<67-66-3>
chlcromethane<74-87-3>
chrysene< 218-01- 9>
dichloromethane<75-09~2>
dleldrin<60-57-l>
die thy 1 phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
dioxane<123-91-l>
dioxin<828-00-2>
endrin<72-20-8>
ethylbenzene<100-41-4>
fluoranthene<206-44-0>
f luorene< 86-73-7>
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
hexschlorobutadiene<87-68-3>
hexachlorocy clop en tadiene< 77-47- 4>
hexachloroethane<67^-72-l>
isophorone<78-59-l>
m-cresol<108-39-4>
m-xylene<108-38-3>
nitrobenzene<98-95-3>
o-cresol<95-48-7>
o-xylene<95-47-6>
p-cresol<106-44-5>
P-xylene<106-42-3>
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1248 (arochlor 1248)
   <12672-29-6>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 {arochlor 1260)
   <11096-82-5>
pentachlorophenol<87-86-5>
phenanthrene<85-01-8>
phenol<108-95-2>
polychlorinated blphenyls (PCBs)
pyrene<129-00-0>
tetrachloroethylene<127-18-4>
toluene<108-88-3>
toxaphene<8001-35-2>
tribromoniethane<75-25-2>
trichloroethylene<79-01-6>
l,l-dichloroethane<75-34-3>
1,2-dichlorob 1,2-dichloroethane
   <107-06-2>
If3-dichlorobenzene<541-73-l>
1^4-dichlorobenzene<106-46-7>
2,4^5-t esters
2,4/5-trichlorophenoxyacetic acid
   (T)<93-76-5>
2,4-d acid<94-75-7>
2,4-dichlorophenoxyacetic acid (2
   4-d)<94-75-7>
2,4-dinitrotoluene<121-14-2>
2-nitropropane<79-46-9>
acetone<67-64-l>
acrylonitrile<107-13-l>
aldrin<309-00-2>
aniline<62-53-3>
atrazine<1912-24-9>
benzene<71-43-2>
benzole acid<65-85-0>
blphenyl<92-52-4>
bromodichloromethane<75-27-4>
carbon disulfide<7S-15-0>
carbon tetrachloride<56-23-5>
chlordane<57-7 4-9>
chlorofor»<67«-66-3>
chloromethane<74-87-3>
cresol<1319-77^3>
ddd(tde)
ddt
dibenzofuran<132-64-9>
dicamba<1918-00-9>
dichlorobenzene<25321-22-6>
dichloromethane<75-09-2>
dlchloropropane<78-87-5>
dleldrin<60-57-l>
                         1129

-------
                             Accession  No.   9046000910
                  (cont)
    dlethyl  phthalate<84-66-2>
    dinitrobenzene<25154-54-5>
    dinitrotoluene<2532l-14-6>
    dioxin<828-00-2>
    diphenyl ether<101-84-8>
    endrin<72-20-8>
    ethyl parathion<56-38-2>
    ethylbenzene<100-41-4>
    ethylene oxide<75-21-8>
    heptachlor<76-44-8>
    hexachlorobenzene<118-74-l>
    hexachlorobutadiene<87-68-3>
    hexachlorocyclopentadiene<77-47-4>
    hexacloroethane<67*72-l>
    isophorone<78-59-l>
    m-cresol8-39-4>
    m-xylene<108-38-3>
    methyl parathlon<298-00-0>
    mtr ex< 2385-8 5-5>
    naphtha! ene<91-20-3>
    nitrobenzene<98-95-3>
    nltrophenol<25154-55-6>
    nitrotoluene
    o-cresol<95-48-7>
    o-methoxyphenol<90-05-l>
    o-xylene<95-47-6>
    p-cresol
    p-xylene<106-42-3>
    parathion<56-38-2>
    p entachlorophenol<87-8 6-5>
    phenol<108-95-2>
    phosgene<75-44-5>
    Phthalic acid<88-99-3>
    polychlorinated  biphenyls CPCBs)
    propachlor<19l8-16-7>
    propionic acid<79-09-4>
strobane<8001-50-l>
styrene<100-42-5>
tde<72-54-8>
terpenes
tetrachloroethylene<127*l8-4>
toluene<108-88-3>
toxaphene<8001-35-2>
trichloroethylene<79-01-6>
trichlorophenol (TCP)<25167-82-2>
trlethylamine<121-44-8>
xylene<1330-20-7>
xylenol<1300-71-6>
BHC-alpha<319-84-6>
BHObeta<319-85-7>
8HC    (lindane)-gamna<58-89-9>
BflC-delta<319-86-8>
bromomethane<74-83-9>
butyric acid<107-92-6>
chlorofora<67-66-3>
p-chloro-m-cresol
cycloh«xane<110-82-7>
d ib enz oCa/hlanthr ac ene<53*7 0-3>
1,4-dichlorobenzene   <106-46-7>
dlchlorobromomethane<75-27-4>
dichlorodifluoromethane <75-71-8>
2,4-diffiethylphenol<105-67-9>
endosulfan-beta<33213-65-9>
indeno(l/2^3-cd)pyrene<193-39-5>
lindanc<58-89-9>
methyl ethyl   ketone (HER)
   <78-93-3>
If 1,2,2-tetrachloroethane<79-34-5
\flg2f2-     tetrachlorocthane
   <79-34-5>
If It2-trichloroethane<79-00-5>
trichlorofluoromethane<75-69-4>
    propylene oxide<75-56~9>
(CAS)  CAS  registry numbers of substances included in data base:  75-34-3
    ; 120-82-1?  95-50-1;  107-06-2?     78-87-5;  541-73-1;  106-46-7;
    120-83-2; 110-75-8; 88-75-5;  79-46-9;    72-55-9; 50-29-3;
    534-52-1; 100-02-7; 83-32-9;  75-07-0; 107-13-1;     309-00-2;
    71-43-2;  111-91-1;  111-44-4;  39638-32-9;  117-81-7;  74-83-9;
    56-23-5;  57-74-9;  108-90-7; 124-48-1; 67-66-3; 74-87-3; 218-01-9;
    75-09-2;  60-57-1;  84-66-2; 131-11-3;  123-91-1; 828-00-2; 72-20-8;
    100-41-4; 206-44-0; 86-73-7;  76-44-8; 118-74-1; 87-68-3; 77-47-4;
    67-72-1;  78-59-1;  108-39-4; 108-38-3; 98-95-3; 95-48-7; 95-47-6;
    106-44-5; 106-42-3; 53469-21-9; 12672-29-6; 11097-69-1; 11096-82-5;
    87-86-5;  85-01-8;  108-95-2; 129-00-0; 127-18-4; 108-88-3;
    8001-35-2;       75-25-2; 79-01r6; 75-34-3; 107-06-2; 541-73-1;
    106-46-7; 93-76-5;      94-75-7; 94-75-7;  121-14-2;  79-46-9;
    67-64-1;  107-13-1;  309-00-2;      62-53-3; 1912-24-9;  71-43-2;
    65-85-0;  92-52-4;  75-27-4; 75-15-0;      56-23-5; 57-74-9; 67-66-3;
                             1130

-------
                             Accession No.   9048000910     (cont)

    74-87-3;  1319-77-3;  132-64-9;  1918-00-9;   25321-22-6; 75-09-2;
    78-87-5;  60-57-1; 84-66-2;  25154-54-5?       25321-14-6; 828-00-2;
    101-84-8; 72-20-8;  56-38-2; 100-41-4; 75-21-8;       76-44-8;
    118-74-1; 87-68-3;  77^47-4; 67-72-1;  78-59-1; 108-39-4;
    108-38-3; 298-00-0;  2385-85-5; 91-20-3; 98-95-3; 25154-55-6;
    95-48-7;       90-05-1; 95-47-6; 106-44-5; 106-42-3; 56-38-2;
    87-86-5;  108-95-2;      75-44-5; 88-99-3; 1918-16-7; 79-09-4;
    75-56-9;  8001-50-1;  100-42-5;    72-54-8; 127-18-4; 108-88-3;
    8001-35-2; 79-01-6;  25167-82-2;     121-44-8; 1330-20-7; 1300-71-6;
    319-84-6; 319-85-7;  58-89-9;     319-86-8; 74-83-9; 107-92-6;
    67-66-3;  59-50-7; 110-82-7; 53-70-3;      106-46-7; 75-27-4;
    75-71-8;  105-67-9;  33213-65-9; 193-39-5; 58-89-9;       78-93-3;
    79-34-5;  79-34-5; 79-00-5;  75-69-4
(CNM)  Contact name(s):  Loy,E.W.  ;    Holsomback^H.  ;    Loy,E*N«
(ROR)  Responsible Organization: Region IV* Environmental Services
    Division.
                             1131

-------
                             Accession No.   9048000911

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  State Intensive Surveys (water)
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model:  Effluents all point sources
    jRuroff urban and rural  (occasionally)  ;   Sediment ^Surface water
    streams >0ther Ground Water:   only occasionally sampled
(ABS)  Abstract/Overview of  Data  Base or Model: Under the Basic Hater
    Monitoring Program and 106 funds,      each state conducts special
    purpose studies (e.g. for waste-     load allocations. In Region
    IV:  AL, FLA,  GA, KY, and MS do not put  the data  into STORET/NC,
    SC/ and IN data are included  in    STORED,  GA maintains its own
    computer data base without the    station location  information
    needed by STORET.  EPA does    receive  (generally)  abstracts or
    reports of these studies.
(CTC)  CONTACTS: Subject matter   Each individual state ;     EPA
    Office  Appropriate Regional  0
(DTP)  Type of data collection or monitoring: Combination/Other
    Ambient/ non-point source/ and point source
(STA)  Data Base status: Operational/ongoing
(NPP)  Non-pollutant parameters included in the data base: Biological
    data ^Chemical data ^Collection method  JCompliance  data ?
    Concentration measures /Discharge points /Disposal  ;Elevation ;
    Flow rates ^Geographic subdivision ;Location ^Physical data ;
    Political subdivisions ^Salinity ;Sampling date ;Site description j
    Temperature ;Test/analysls method ;Volume/mass measures
    ;conductivity ;    transparency
(DS)  Time period covered by data base: 01-01-76 TO 12-01-82
(TRM)  Termination of data collection: Not  applicable
(FRQ)  Frequency of data collection or sampling: one time only /as
    needed ;0ther repeated as necessary (theoretically  every 5 yea
(NOB). Number of observations in  data base:  15000.(Estimated)
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations ^whatever is needed for th
(NTS)  Total number of stations or sources  covered in data base: (no
    nay to estimate*)
(NCS)  No. stations or sources currently originating/contributing data:
    (no way to estimate.)
(NQF)  Number of facilities  covered in data base (source monitoring): (n
    o way to estimate.)
(GEO)  Geographic coverage of data base: National ^Selected federal
    region Region IV included
(LOC)  Data elements identifying  location of station or source include:
    State jProject identifier Abridge number or station code
(FAC)  Data elements identifying  facility include: Plant facility name
    ^station code
(CDE)  Pollutant identification data are: Storet parameter
    Other coding scheme states may have special codes
    Uncoded
(LIM)  Limitation/variation  in data of which user should be aware: Every
    survey is different: tailor-made to its     own purpose.  Quality
    assurance procedures vary from survey to survey*     Edit varies
    from state to state.


                             1132

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                             Accession No.   9048000911      (cont)

(CBY)  Data collected by:  State agency all  states

    nitrogen<7727-37-9>                  total organic  carbon (TOC)
    oxygen demand                        Biochemical oxygen demand (BOD)
    pH                                   chlorides
    phosphorus<7723-14-0>                metals
    suspended solids                     nitrates/nitrites
    hexachlorocyclohexane<58-89-9>       temperature
(CAS)  CAS registry numbers of substances included in data  base: 7727-37
    -9; 7723-14-0; 58-89-9? 72-43-5
(CNM)  Contact name(s): state,E.
(COR)  Contact organization: Appropriate Regional Office
(RQR)  Responsible Organization: Region IV.Environmental Services


                             1133

-------
                         Accession No.  9048000911     (cont)
Division.
                         1134

-------
                             Accession No.   9048000912

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Missing  Parameter Codes
(ACR)  Acronym of Data Base  or Model:  PARACDS
(MED)  Media/Subject of Data Base or  Model: Effluents all point sources
    ^Ground water ^Runoff all types ;     Sediment  ;Soil ;Solid waste
    ;Surface water all ;Tissue fish
CABS)  Abstract/Overview of  Data Base or Model:  Data base contains  all
    information necessary for StORET  (Storage and Retrieval  of  Mater
    Quality Data)    storage except the parameter code*  When this  code
    is  assigned, the appropriate entries are put into  STORE!  and
    purged from this data base.
(CTC)  CONTACTS;  Subject natter   Margaret  Hale   (912)  250-3548  ;
    Computer-related Margaret Hale  (912) 250-3548^  EPA  Office
    Environmental Services Division,  Region IV (912)
(DTP)  Type of data collection or monitoring: Combination/Other
    Ambient, non-point source, and  point source
(STA)  Data Base status: Operational/ongoing
(NPP)  Non-pollutant parameters included in the  data base:  Chemical
    data /Concentration measures ;Samp ling  date
(DS)  Tine period covered by data base; 01-01-79 TO 09-30-81
(fRM)  Termination of data collection: Anticipated 12/30/81
(FRQ)  Frequency of data collection or sampling: as needed
(NOB)  Number of observations in data base: 2808.(Actual)
(NEI)  Estimated annual increase of observations in data base:  500.
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data  base: 69.
(NCS)  No. stations or sources currently originating/contributing data:
    69 (or more,)
(NOF)  Number of facilities  covered in data base (source monitoring):  50
    (or more.)
(GEO)  Geographic coverage of data base: Selected federal region Region
    IV
(LOC)  Data elements identifying location of station or source include:
    STOEET location codes
(FAC)  Data elements identifying facility include:  STORET nomenclature
(CDS)  Pollutant identification data  are: Other  coding  scheme
CLIM)  Limitation/variation  in data of which user should be  aware:  None
(DPR)  Data collect./anal. procedures conform to ORD guidelines: Q8D
    Guidelines
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(ADD)  Lab Audit: Lab audit  is satisfactory.
(PRE)  Precision: Precision  and accuracy estimates exist for all
    measurements
(EOT)  Editting:  Edit procedures used but undocumented.
(CB¥)  Data collected by: Regional office Environmental Services Lab,
    Region IV
(ABY)  Data analyzed by: Regional office Environmental  Services Lab,
    Region IV
(IDL)  Laboratory identification: NO
(AUT)  Authorization for data collection: Statutory authorization is P
    L 95-217, Section 106 (Clean Water Act-CWA)
(OMB)  Data collected/submitted using QMS-approved EPA  reporting


                             1135

-------
                             Accession Ho.   9048000912
                  (cont)
    QQ
(REP)  Form of available reports and outputs of data base:  Printouts on
    request
    On-line computer
(ffUS)  Number of regular users of data base: 10 or less
(OSR)  Current regular users of data base:  EPA regional offices
    Environmental Services Division (storage only)
(CNF)  Confidentiality of data and limits on access: Ho Units on
    access to data
(DLC)  primary physical location of data: Regional office
(DSI)  Form of data storage: Magnetic disc
(DAC)  Type of data access: Commercial software IHFORM-11 ;EPA hardware
    PDp 11 ;Regionally developed data sy
(CHG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base master file  up-date: Other as needed
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    STORET (Storage and Retrieval of Mater   Quality Data)
(CMP)  Completion of form:
    Ron Estes
    OFC: EPA/Region Itf/Envlronnental Services Division
    AD: College Station Rd Athens, GA 30613
    PH: (912) 250-3301
(DP)  Date of fora completion: 12-07-82
(•MAT)  Number of substances represented in data base: 483
(HCAS)  Number of CAS registry numbers in data base: 113
(MAT)  Substances represented in data base:
    l,l,l,2-tetrachloroethane<63
       0-20-6>
    1^1^I/ 3, 3, 3-hexaf luoropropane
    If\t1-trichloroethane<71-55-6>
    1,1,1-trichlorofluoromethane
    1,1,2-chloroethyl vinyl ether
    lfl,2-trichloroethane<79-00-5>
    l,l-dichloroethane<75-34-3>
    1,1-dichloroethylene<75-35-4>
    1,1-oxy bix/2-nethoxy-ethane
    If 1-thibisethane
    1,1-thio bisethane
    If 12-benzopery lene
    1,2,3,3,3 pentafluoro-propene
    l,2,4,-trlchlorobenzene<120-82-l>
    1,2,5,6-dibenzanthracene
    1,2-benzanthracene
    l,2-dlchloro-l,l,2-tribluoroethane
    1,2-dichloro-l,12-trlchloroethane
    l,2-dichlorobenzene<95-50-l>
    If2-dichloroethane<107-06-2>
    1,2-dichloropropane<78-87-5>
    l,2-diphenylhydrazine<122-66-7>
    1,2-trans-dichloroethylene
       <156-60-5>
1,3,5-triaethy1-1,3,5-t riazine
   trlone
l,3-dichlorobenzene<541-73-l>
1,3-dichloropjropylene
1,3-dloxolane
l,4-dichlorobenzene<106-46-7>
1,4-dioxane
1,4-dloxolane
l-C12-brethane
1-H-perfluorohexane
l-chloro-2 broraomethane
l-chloro-2-bormo ethane
1-chlorobutane
1-hydroxy chlordene
ll,12-benzofluoranthene<207-08-9>
2 ethyl 1,3-dloxolane
2,4 dimethyl furan
2,4,6-trichlorophenol<88-06-2>
2,4-dlchlorophenol<120-83-2>
2,4-dimethylphenol<105-67-9>
2,4-dinltrophenol<51-28-5>
2,4-dinitrotoluene
2,6-dinitrotoluene<606-20-2>
2-H-perfluorohexane
2-chioroethylvinyl ether<110-75-8>
2-chloronaphthalene<91-58-7>
                             1136

-------
                         Accession No.   9048000912
                  (cont)
2-methyl 3-pentanone
2-methyl pentane
2-methyl propanol
2-methyl-l,3~dioxelene
2-methy1-1,3-dioxolane
2-methyl-l-phenyl-l-propanone
2-»ethylfuran
2-nitrophenol<88-75-5>
2-pentenenitrlle
3,3--dichlorobenzidlne<91-94-l>
3,4-benzopyrene
3-hexanone
3-nonanone
4 methyl-1-hexene
4,4*-DDE (P,P*-DDE)
4,4'-DDT (P,P*-DDf)
4,4'-ddd
4-4 dimethyl-l,3-dioxane
4-bromophenyl phenyl ether
   <101-55-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-hydroxy-4-methyl pentanone
4-hydroxy-4-raethyl-2-pentanone
4-nitrophenol<100-02-7>
8-methyl-8-nonanediol
A-BBC-alpha
A-chlordaue-alpha
A-chlorodane-alpha
A-endosulfan-alpha
B-BHC-beta
B-endosulfan-beta
C12 alkylphenol
C14 alkyl acid
C14 alkyl acid methyl ester
CIS alkyl acid methyl ester
C16 alkyl acid
S16 alkyl acid (2 isomers)
t!6 alkyl acid methyl ester
CIS alkyl acid (2 isomers)
C18 alkyl acid methyl ester
C2 alkyl benzole acid
C2 alkyl naphthalene
C2 alkyl naphthalene (2 isomers)
C2 alkyl naphthalene (3 isomers)
C2 alkyl nat phthalene (2 isomers)
C2 alkyl phenanthrene
C2 alkyl phenanthrene (2 isomers)
C2 alkyl phenol (2 isomers)
C2 alkyl phenol (4 isomers)
C2 alkyl phenoxy benzene <3
   isomers)
C2 alkyl styrene
C2 alkyl styrene (2 isomers)
C2 alkylbenzoic acid (3 isoraers)
C2 alkylnaphthalene (2 isomers)
C3 alkyl benzene
C3 alkyl benzene (2 isomers)
C3 alkyl benzene (3 isomers)
C3 alkyl benzene (5 isooers)
C3 alkyl benzole acid
C3 alkyl naphthalene
C3 alkyl naphthalene (2 isomers)
C3 alkyl naphthalene (3 isomers)
C3 alkyl naphthalene (4 Isomers)
C3 alkyl phenanthrene
C3 alkyl phenol
C3 alkyl phenol (2 Isomers)
C3 alkyl phenol (3 isomers)
C3 alkyl styrene (2 isoeiers)
C3 alkylbenzenesulfonaaide
C3 alkylphenanthrene (2 isomers)
C3 benzene
C4 alkyl benzene
C4 alkyl benzene (2 isoners)
C4 alkyl benzene (3 isoners)
C4 alkyl benzene (5 isoners)
C4 alkyl benzole acid
C4 alkyl naphthalene
C4 alkyl naphthalene (3 isomers)
C4 alkyl phenanthrene
C4 alkyl phenol
C4 alkyl phenol (2 isoners)
C4 alkyl styrene
C4 alkylblbenzyl C2 isomers)
C4 alkylcylohexanol
C4 alkylcylohexanone
C5 alkyl acid
C5 alkyl benzene
C5 alkyl benzene (2 isomers)
C5 alkyl benzene (5 isomers)
C5 alkyl naphthalene
C5 alkyl phenanthrene
C5 alkylbenzenesulfonamide
C6 alkyl acid
C6 alkyl benzene
C6 alkyl benzene (2 isomers)
C6 alkyl naphthalene
C8 alkyl phenol
C8 alkylbenzene <2 isoaers)
C9 alkyl acid
C9 alkyl phenol
                         1137

-------
                         Accession No«  9048000912
                  (coat)
N* N-diraethy If ormaraide
M-methyl nit roso benzenamide
OP DDD
OP ODf
T-butanol
acenaphthene< 83~32-9>
acenaphthylene<208-96-8>
acetone<67-r6 4-l>
ac e tonitr ile<75-05-8>
acrclein<107-02-8>
acrylonitrile<107-13-l>
aldrin<309-00-2>
alkyl hydrocarbons
alpha chlordane
alpha chlorodane
alpha cyano pyridine
alpha- terpineol
anthracene<120-12-7>
arochlor 1256
asbestos<1332-21-4>
atr azine
benzene acetic acid
benzene triol
benzene<71-43-2>
benzenebutanoic acid
benzenediol
benzenepropanoic acid
benzidine<92-87-5>
benzo furan
benzole acid<65-85-0>
beta-naphthonitrile
bhc (lindane)-gamma<58-89-9>
bhc-delta< 31 9- 86- 8>
biphenol
biphenyl<92-52-4>
bis (20-ethylhexyl) phthalate
bisCl 2-ethylhexyl)phthalate
bis(2-chloroethoxy)methane
bis(2-chloroisopropyl)ether
   <39638-32-9>
bis<2-ethylhexyl)phthalate
brouacil
bromoforoi
bromoinethane<74-83-9>
butoxy propanol
butoxybutanoic acid
butyl benzyl phthalate<85-68-7>
butyl ester of benzole acid
butyl methyl benzene sulfonamide
butylmethylpropyl phthalate
foutyloctanol (2 isomsrs)
carbon disuifide<75-15"0>
carbon tetrachiocide<56-23-5>
carbophenolthion
chlordane (tech, mixture &
   metabolites)
chlordane<57-74-9>
chlordene
chloroben2ene<108~90-7>
chlorodibcoraoraethane
chloroethane<75-00-3>
chloroethoxybenzene
chlorofluoromethane
chloroforffl<67™66-3>
chloromethane<74-87-3>
chloromethylbenzeneanine
chlorotoluene
clneol
co alcohol
cyclohexane<110-82-7>
de odecanoic acid
decanoic acid
decanoic acid, methyl ester
di-2-propenyl phthalate
di-iso-propyl ether
di-iaethyl propyl*phthai ate
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
dibenzothiophene
dichlorobenzene<25321-22-6>
dichlorobenzeneaaine
dichlorobroraomethane<75-27~4>
dichlorodifluoromethane<75-71-8>
dichlorofluororoethane
dlchloromethyl phenol
dichiorophenol
dichlorotoluene
dieldrin<60-57-l>
diethyl disulflde
diethyl phthalate<84-66-2>
dihydro indenone
dihydrodimethyl furanone
dlhydroethenonaphthaiene
dihydrotrim©thyIpurinedione
dimethyl butanoic acid
dimethyl disulphide
dimethyl ester of butenedioic acid
dimethyl ether
dimethyl phthaiate<131-ll-3>
dimethyl pyridine (2 isosers)
dimethyl sulflde
                        acid
                         1138

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                         Accession No.  9048000912
                  Ccont)
dimethylbenzenemethanol
dimethylbenzoic acid
dimethylphenylmethybenzene
dioctyl adipate
dipropenyl phthalate
dipropyl phthalate
dissolved carbon
dodecanoic acid
dodecanoic acid; methyl ester
dodecanol
dodecanthiol
endosulfan sulfate<1031-07-8>
endrin aldehyde<7421-93-4>
endrin keytone
endrin<72-20-8>
ethane thiol
ethion (carbophenolthion)
ethoxy ethanol
ethoxyethanol acetate
ethoxymethylbenzene
ethyl {raethylpropyl) disulfide
ethyl acetate<141-78-6>
ethyl hexanoic acid
ethylbenzene<100-41-4>
ethylhexanol
ethylmethylpyrrolidinedione
fluoranthene<206-44-0>
fluorene<86-73-7>
gamma chlordane
haptachlornorbornene
heptachlor epoxide<1024~57~3>
heptachlor<76-44-8>
heptachloronorborene
heptanol
heptanone
hexachlornorbotnadiene
hexachlorobenzene<118-74-l>
hexachlorobutadiene<87-68-3>
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67-72~l>
hexadecanoic acid
hexaraethyIphosporamide
hexane
hexanoic acid
hydroxy chlordene
hydroxy methoxy benzaldehyde
hydroxy methoxy phenyl ethanone
hydroxy methyl pentanone
hydroxybenzaldehyde
hydroxybenzthiazole
hydroxymethoxyphenyl propanone
hydroxymethyl cyclopentenone
hydroxyuethyl pentanone
indano 
iso-propyl acetate
isodrin
isomer of trichlorophenol
isophorone<78~59-l>
isopropanol
nal athion< 121-75-5>
methanethiol<74-93-l>
raethly ester of benzene carboxylie
    acid
methoxy methyl benzene
raethoxy phenol
methy ester of octadecanoic acid
methyl acetate
methyl benz(a)anthracene
methyl benzene sulfonamide
methyl benzoic acid (2 isotners)
methyl benzoic acid methylester
methyl bromide
methyl chloride
methyl cyclhexane
methyl cyclohexane
methyl cyclopentane
methyl cyclopentanol
methyl dibenzothioprene
methyl dichlorophenoi
methyl ester C14 alkyl acid
methyl ester CIS alkyl acid
methyl ester C16 alkyl acid
methyl ester C17 alkyl acid
methyl ester CIS alkyl acid
methyl ester methyl pentadecanoic
   acid
methyl ester octadecenoic acid
methyl ester of hexadecanoic acid
methyl ester of methylhexadecanoic
    acid
methyl ester of octacandlenoic
   acid
methyl ester of octadecatrienoic
   acid
methyl ester of oxopentanoic acid
methyl ethyl ketone 
methyl fluorene
methyl heptanol
methyl heptanone
methyl Isobutyl ketone<108-10-l>
methyl isopropyl ketone
methyl naphthalene
methyl naphthalene (2 isomers)
methyl parathion<298«00-0>
                         1139

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                         Accession No.  9048000912
                  (cont)
methyl pentanoic acid methylester
methyl phenanthrene
methyl phenanthrene (2 isomers)
methyl phenol
methyl phenol (2 isomers)
methyl phenyl ester of benzole
   acid
methyl phenyl ethanone
methyl propyl ester of benzole
   acid
methyl pyrene
methyl pyridine
methyl pyrrolidinone
methyl styrene
methyl sulfide
methyl thioethane
methyl thiophene (2 isomers)
raethylbenzoic acid
methylbutanoic acid
methylcyclopentenone
•ethylene chloride
methylene phenanthrene
methylhydroxybenzeneacetic acid
methylnonanediol
methylpentanedione
methylpropoxypropanol
•ethylpyrene (4 isoraers)
rairex<2385-85-5>
n-nitrosodi-n-propylamine
   <621-64-7>
n-nitrosodiphenylaraine<86-30-6>
naphthalene<91^20-3>
naphthopyrandione
nitrobenzene<98-95-3>
nitrosodiphenylamine
nonadecanol
nonyl phenol
octa yldiphenylester phosphoric
   acid
octachlorcyclopentene
octachlorocyclopentene
octachloronaphthalene
octadecanal
octadecanoic acid
octadecanoic acid methylester
octahydrotetraaethylcyclopropylazu
   lene
octanolc acid
octyldiphenyl ester of phosphoric
   acid
oxazole
parachlorometa cresol
p ar athion<56-38-2>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   <53469-21-9>
pcb-1254 (arochlor 1254)
   <11097-69-l>
pcb-1260 (arochlor 1260)
   <11096-82-5>
pentachlorobenzene<608-93-5>
pentachlorocyclopentadiene
pentachlorophenol<87-86-5>
pentadecanoic acid
pentadecanoic acid nethyl-Bethyl
pentadecanoic acid methyl-methyl
   ester
pentanoic acid
percent moisture
perfluoropropene
phenanthrene<85-01-8>
phenanthrenedione
phenol (gc/ms)
phenol<108-95-2>
phenyl ether
phenyl pyridine (2 isomers)
phenylbutanone
phenylethanone
phenylnaphthalene (2 isomers)
phosphoric acid octyldiphenyl ester
phosphoric acid tributyl ester
phosphoric acid triphenyl ester
phtnalic acid<88-99-3>
prometon
propachlor (ra&rod)
propanediol
propanoic acid
pro poxy butane
propyl acetate
pyrene<129-00-0>
silica
sodium chlorate
styrene<100-42-5>
sulfur
terephthalalonitrile
tetrachlorobenzene
tetrachlorobenzene (2 isomers)
tetrachlorobiphenyl
tetrachlorodibenzo-p-dioxin (TCDD)
                         1140

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                             Accession No.  9048000912
                  (cont)
    tetrachloroethylene<127-18-4>
    tetradecanal
    tetradecanoic acid
    tetradecanoic acid, methyl ester
    tetrahydronaphthalenol
    thiobisdodecane
    thlophene
    thlopropane
    toluene<10 8-88-3>
    toluidie ne
    toluidine
    toxaphene<8001-35-2>
    trans-1*2,-dichloroethylene
    trans-1, 2-dichloroet he ne
    trans-1/3-dichloropropene
    tri(2-chloroethyl)phosphate
    tributylester of phosphoric acid
    trichlorobenzene (not 1,2,4)
    trichlorobenzenes
    trichlorobiphenyl
    trichloroethylene<79-01-6>
    trichlorofluoronethane<75-69-4>
tridecanolc acid, methyl ester
trinethyl benzene sulfonaaide
trlmethyl ester of phosphoric aci
trimethyIpyrazine
trinethylbicycloheptane
trinethylbicycloheptanedione
t rime thyIb icyclohep tanone
triaethylbicycloheptanone, (2
   isoners)
trinethylcyclohexane
trinethylcyclohexanol
trinethyIcyclohexanone
trinethyIcyclohexenemethanol
trimethylcyclopentenone
triphenyl ester
tris-beta-chloroethylphosphate
vinyl chloride<75-01-4>
unethoxychlor
xylene (2 isoners)
xylene<1330-20-7>
y-chlordane-ganma
ychloronethane
    tridecanoic acid
(CAS)  CAS registry numbers of substances included in data base: €30-20-
    6; 71-55-6; 79-00-5; 75-34-31 75-35-4;      120-82-1; 95-50-1;
    107-06-2; 78-87-5; 122-66-7; 156-60-5; 541-73-1;   106-46-7;
    207-08-9; 88-06-2; 120-83-2; 105-67-9; 51-28-5; 121-14-2;
    606-20-2; 110-75-8; 91-58-7; 88-75-5; 91-94-1; 534-52-lj 101-55-3;
    7005-72-3; 100-02-7; 83-32-9; 208-96-8; 67^64-1; 75-05-8; 107-02-8;
    107-13-1; 309-00-2; 120-12-7; 1332-21-4; 1912-24-9; 71-43-2;
    92-87-5;      65-85-0; 58-89-9; 319-86-8; 92-52-4; 111-91-1;
    39638-32-9; 117-81-7;       74-83-9; 85-68-7; 7S-15-0; 56-23-5;
    57-74-9; 108-90-7; 124-48-1;      75-00-3; 67-66-3; 74-87-3;
    110-82-7; 84-74-2; 117-84-0; 25321-22-6;   75-27-4; 75-71-8;
    60-57-1; 84-66-2; 131-11-3; 1031-07-8; 7421-93-4;   72-20-8;
    141-78-6; 100-41-4; 206-44-0; 86-73-7; 1024-57-3; 76-44-8;
    118-74-1; 87-68-3? 77-47-4; 67-72-1; 193-39-5; 78-59-1; 121-75-5;
    74-93-1; 78-93-3; 108-10-1; 298-00-0; 2385-85-5; 621-64-7; 86-30-6;
    91-20-3; 98-95-3; 56-38-2; 12674-11-2; 11104-28-2; 11141-16-5;
    53469-21-9; 11097-69-1; 11096-82-5; 608-93-5; 87-86-5; 85-01-8;
    108-95-2; 88-99-3; 129-00-0; 100-42-5; 127-18-4; 108-88-3;
    8001-35-2;      79-01^6; 75-69-4; 75-01?-4; 1330-20-7
(CNM)  Contact name(s): Hale,M.
(COR)  Contact organization: Environmental Services Division, Region IV
(ROR)  Responsible Organization: Region IV.Envlronoental Services
    Division.
                             1141

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                             Accession No.   9048000913

(DQ)  Date of Questionaire: 12-02-82

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                             Accession No.   9048000913     (cont)

    North Carolina, South Carolina* Alabama, Florida, Georgia, Kentucky
    & Mississippi) ;  Regional office Surveillance and Analysis
    Division, Region IV
(ABY)  Data analyzed by:  State agency States in Region IV (Alabama,
    Florida, Georgia,     Kentucky, Mississippi, North Carolina,  South
    Carolina, and Tennessee)
    Regional office
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Trend assessment
(PR2)  Secondary purpose  of data collection: Program evaluation
CAOT)  Authorization for  data collection:  No statutory requirement:
    Data collection requirement is    collected for 210 Report to
    Congress
(OMB)  Data collected/submitted using OMB-approved EPA reporting  forms:
    158-R-0035
(REP)  Form of available  reports and outputs of data base: Printouts on
    request
(NUS)  Number of regular  users of data base: 300
(USR)  Current regular users of data base:  EPA regional offices
    States
    consultants
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
CDLC)  Primary physical location of data:  EPA lab
(DST)  Form of data storage: Magnetic tape
(DAC)  Type of data access: Commercial software Inform 11 JEPA hardware
    PDP-11
(CHG)  Direct charge for  non-EPA use: no
(OPDf)  Frequency of data base master file  up-date: Weekly
(CMP)  Completion of form:
    Charles Sweatt
    QFC: EPA/Region IV/Environmental Research Lab-Athens/
    Surveillance and Analysis Division
    AD: College Station Rd. Athens, GA 30613
    PHs (404)546-3351
(DF)  Date of form completion; 08-20-80
(NHAT)  Number of substances represented in data base: 13
(NCAS)  Number of CAS registry numbers in data base: 2
(HAT)  Substances represented in data base:
    acidity                              organics
    alkalinity                           oxygen demand
    dissolved oxygen                     pH
    fecal coliform                       phosphorus<7723-14-0>
    metals                               polychlorinated biphenyls (PCBs)
    nitrogen<7727-37-9>                  suspended solids
    oil and grease
(CAS)  CAS registry numbers of substances included in data base:  7727-37
    -9j 7723-14-0
(CNM)  Contact name(s): Sweatt,C. ;    Estes,R.  >    Sueatt,C.
(ROR)  Responsible Organization: Region IV.Environmental Services
    Division.
                             1143

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                             Accession No.   9046000914

(DQ)  Date of Questionaire: 12-02-82
(NAN)  Name of Data Base of Model:  Metals Data Base
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Models  Other municipal sludge;
    Influent and effluent
(ABS)  Abstract/Overview of Data Base or Model:  Metals detected  in
    municipal uasteuater treatment facilities in Region IV.  Six heavy
    metals in influent and  effluent from municipal treatment plants
    reported in   milligrams per liter (mg/1).  Sludge samples reported
    in    milligrams per kilogram (mg/kg).
(CTC)  CONTACTS: Subject matter   Bruce Ferguson  404-546-3351    ;
    Computer-related  Ron Es
(DTP)  Type of data collection or monitoring: Combination/Other
    municipal wastewater treatment plants
CSTA)  Data Base status; Operational/ongoing
(GRP)  Groups of substances represented in Data Base:  15 metals
(NPP)  Non-pollutant parameters included in the data base:  Chemical
    data ^Inspection data ^Location /Site description
CDS)  Time period covered by data base: 07-01-75 TO 05-27-81
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: monthly
(NOB)  Number of observations in data base:  5500.(Estimated)
(NED  Estimated annual increase of observations in data base: 600.
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in  data  base: 960.
(NCS)  No. stations or sources currently originating/contributing data:
    50.
(NOF)  Number of facilities covered in data base (source monitoring): 24
    0.
(GEO)  Geographic coverage of data base: Geographic region  Southeast US
(LOG)  Data elements identifying location of station or source include:
    State /City ;Project identifier ;sample source
(FAC)  Data elements identifying facility include: Plant facility name
    ;Plant location jNPDES
(CDE)  Pollutant identification data are: Uncoded
(LIM)  Limitation/variation in data of which user should be aware: None
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Analysi
    s method documented ;QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted  methods? YES
(ADD)  Lab Audit: Lab audit is satisfactory.
(PRE)  Precision: Precision and accuracy estimates exist but are not
    included in data base
(EDT)  Edittlng: No known edit procedures exist.
(CBY)  Data collected by: Regional office Surveillance and  Analysis
    Division/ Region  IV.
(ABY)  Data analyzed by: Regional office Surveillance  and Analysis
    Division/ Region IV.
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Trend assessment
(AUT)  Authorization for data collection: No statutory requirement:
    Data collection requirement is to measure trends in the
    concentrations of metals in municipal sludge.


                             1144

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                             Accession Ho.   9048000914     (cont)

COMB)  Data coiiected/subaitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base*  Unpublished
    reports Metals, PCBs and Chlordane in Municipal Sludge*
    Printouts on request
    Machine-readable raw data
(NUS)  Number of regular users of data base: 50
(USR)  Current regular users of data base:  EPA headquarter  offices Land
    Disposal Division/ Office of Hater and   Naste Management
    EPA regional offices
    States
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: EPA lab
(DST)  Form of data storage: Magnetic disc
(DAC)  Type of data access: EPA software STORET  HIDS:5303000101 ;EPA
    hardware IBM 370/168
(CHG)  Direct charge for non-EPA use: No
(UPDT)  Frequency of data base master file up-date: Monthly
(CMP)  Completion of form:
    Bruce Ferguson
    OFC: EPA/Region Itf/Environmental Research Lab-Athens/
    Surveillance and Analysis Division
    AD: College Station Road, Athens, Georgia 30613
    PH: (404) 546-3351
(DF)  Date of form completion: 02-01-83
(HMAT)  Number of substances represented in data base: 6
CNCAS)  Number of CAS registry numbers in data base: 6
(MAT)  Substances represented in data base:
    cadroiuin<74 40-43-9>                   lead<7439-92-l>
    chroraium<7440-47-3>                  nickel<7440-02-0>
    copper<7440-50-8>                    zinc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data  base: 7440-43
    -9; 7440-47-3; 7440-50-8; 7439-92-1;   7440-02-0; 7440-66-6
(CNM)  Contact name(s): 404,B.F.  ;    404,R.E.  ;    Ferguson,B.
(ROR)  Responsible Organization: Region IV-Environmental Services
    Division.
                             1145

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                             Accession No.   9051700002

(DQ)  Date of Questionaire:  12-02-82
(NAN)  Name of Data Base of Model;  Great Lakes Sediment Quality  Data
    and Reports
(ACR)  Acronym of Data Base or  Model:  None
(MED)  Media/Subject of Data Base or Model:  Sediment ;Other  Elutriate
    and benthic biological samples  were taken    intermittently*
(ABS)  Abstract/Overview of Data Base  or Model: Describes  sediment
    quality in Great Lakes' rivers  and harbors.   Total sediment
    chemistry and to a more limited extent  elutriate data, benthic
    nacroinvertebrate data, as  veil as a physical descriptions of the
    samples (e.g. color, particle size, etc.) are contained  In the
    reports*     Total chemistry data  is also available In STORE! under
    Agency   Code 1115GLSB.
(CfC)  CONTACTS;  Subject matter  Tony Kizlauskas  (312)353-3576;   EPA
    Office Great Lakes National Program Office (GLNPO)
(DTP)  Type of data collection  or monitoring: Combination/Other  Ambient
    monitoring, industrial monitoring, toxics    sonitoring.
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances represented in  Data Base: 15 metals, 129
    consent decree priority pollutants
(NPP)  Non-pollutant parameters included in the data base: Biological
    data /Chemical data ^Collection method  ^Concentration  measures  1
    Elevation ^Geographic subdivision  ^Location ^Physical  data
    ;Sampling date }     Site description
(DS)  Time period covered by data base: 01-01-60 to 09-30-82
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: as needed
(NOB)  Number of observations in data  base:  35000.(Estimated)
(NED  Estimated annual increase of observations in data base:  (variable
    .)
(INF)  Data base includes: Raa  data/observations ;Summary  aggregate
    observations
(NTS)  Total number of stations or sources  covered in data base: 1400.
(NCS)  No. stations or sources  currently originating/contributing data:
    1200.
(NOF)  Number of facilities covered In data base (source monitoring):  (N
    /A.)
(GEO)  Geographic coverage of data base: Geographic region Great Lakes
    Basin
(LOC)  Data elements identifying location of station or source  include:
    Project identifier ;U. S. Army Corps of  Engineers' maps
(FAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant identification data are: Uncoded
(LIM)  Limitation/variation in data of which user should be  aware:  Sampl
    es are primarily surface grab samples from navigation  channels.
(DPR)  Data collect./anal, procedures  conform to DRD guidelines: Samp1in
    g plan documented ^Collection method documented ^Analysis method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods?  YES
(AOD)  Lab Audit: Lab audit is  satisfactory for 80.

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                             Accession Ho.   9051700002      (cont)

(EOT)  Editting: Edit procedures used but undocumented.
(CBY)  Data collected by:  Regional office Region V Surveillance and
    Analysis Division }     Contractor as needed /Other  federal agency
    U.S. Army Corps of Engineers ;  Great Lakes National Program
    Office/EPA
(ABY)  Data analyzed by:  Regional office Region V Surveillance and
    Analysis Division
    EPA lab Environmental Research Lab-Duluth,  MH
    Contractor lab as needed
(IDL)  Laboratory identification: YES
(AOT)  Authorization for data collection: Statutory authorization  is P
    L 92-500 as amended Section 104b (Clean Water  Act)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(REP)  Fora of available reports and outputs of data base:  Unpublished
    reports Sediment Data for the Milwaukee Estuary
    Great Lakes National Program Office Files
(NUS)  Number of regular users of data base: 15 organizations 50-100
(USR)  Current regular users of data base:  EPA  headquarter  offices
    Marine Activities Branch (other branches intermittently)  ,
    EPA regional offices
    EPA laboratories
    Other federal agencies
    States
    Regions II, III and V
    U.S. Fish and Wildlife Service
    U.S. Army Corps of Engineers
    consultants
    local governments
    universities
    public interest groups
(CNF)  Confidentiality of data and limits on access: Limits on outside
    access for some data
(DLC)  Primary physical location of data: Great Lakes National Program
    Office, Chicago, IL
(DST)  Form of data storage: Original form (hardcopy, readings)
(DAC)  Type of data access: Reports; Manually;  Total Chemistry data =
    STGRET   on Agency Code 1115GLSB.
(CHG)  Direct charge for non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Other as results
    become available
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    Great Lakes National Program Office (CLNPQ) Fish Monitoring and
    Lake Water Monitoring Programs (most of this data is in     STORED
(RDB)  ton-EPA data bases used in conjunction nith this data base: Great
    Lakes* States - State Monitoring  Programs, U.S. Army Corps of
    Engineers, researchers and consultants data,  dredging  permit
    applications.
(CMP)  Completion of form:
    Anthony Sizlauskas
    OFC: Great Lakes National Program Office
    AD: Rm 932 536 S. Clark St, Chicago, IL 60605


                             1147

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                             Accession No.   9051700002      (cont)

    PH: (312)353-3576
(OF)  Date of form completion:  01rl7-83
CNMAT)  Number of substances represented in data base:  25
(NCAS)  Number of CAS registry  numbers in data base:  12
(NAT)  Substances represented in data base:
    ammonia nitrogen                     oil and grease
    arsenic<7440-38-2>                   ortho-phosphate
    cadnium<7440-43-9>                   phenols
    chemical oxygen demand (COD)         total kjeldahl nitrogen
    chromlura<7440-47-3>                  total organic  carbon (IOC)
    copper<7440-50-8>                    total phosphorus
    iron<7439-89-6>                      total solids
    lead<7439-92-l>                      trace metals
    manganese<7439-96-5>                 volatile solids
    mercury<7439-97-6>                   alurainum<7429-90-5>
    nickel<7440-02-0>                    cyanide
    nitrate nitrogen                        <57-12  129 consent decree
    nitrite nitrogen                        Priority  Pollutants
(CAS)  CAS registry numbers of  substances included in data base: 7440-38
    -2; 7440-43-9; 7440-47-3; 7440-50-8;   7439-89-6; 7439-92-1;
    7439-96-5; 7439-97-6; 7440-02-0; 7429-90-5
(CNM)  Contact name(s): Kizlauskas,A.
(COR)  Contact organization: Great Lakes national Program Office
    (GLNPO)
(ROR)  Responsible Organization: Region V.Great Lakes National Program.
                             1148

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                             Accession Mo.   9055000903

CDQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model:  Industrial Process Evaluations
(ACR)  Acronyo of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model:  Effluents industrial
    ;Runoff Bother in plant chemical process wastes
(ABS)  Abstract/Overview of Data Base  or Model:  Evaluation  of  specific
    industries and industrial  processes regarding the
    presence/formation of toxicants by (1) National     Pollutant
    Discharge Elimination System (NPDES) permit  or   Clean Hater  Act,
    Section 308 request to industry/  (2)     EPA contractor/  or  (3)
    state pollution control agency* Toxicants    are  not  limited to
    the 129 Consent Decree    Priority Pollutants*  Initial uork  is dry
    lab     paper study of industrial  process followed  by chemical
    and/or    biomonltoring testing by facility.   Most  of the  data
    (90%) is    supplied by industry.   Emphasis  is placed on chemicals
    that are highly toxic/ that tend to bio-accumulate/ and    are
    carcinogenic or mutagenie.  Organic scans are run and the
    significant peaks are analyzed quantitatively.
(CTC)  CONTACTS:  Subject matter Glenn  D. Pratt/Jon Barney
    (312)353-2105;      EPA Office Glenn D.  Pratt/Jon Barney
    (3123353-2105
(DTP)  Type of data collection or monitoring: Point  source  data
    collection pulp and paper plants/  chemical industry/ and herbicide
    and pesticide manufacturers
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances represented in Data  Base: 129 307  CHA ;9
    potential drinking water
(NPP)  Non-pollutant parameters included in  the  data base:  Biological
    data /Chemical data /Concentration measures  ^Discharge  points /
    Disposal ^Geographic subdivision ;industry ^Location ^Production
    levels ;  Test/analysis method ;Treataent devices
(DS)  Time period covered by data base :M)1-01-79 to  01-03-83
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling:  as  needed
(NOB)  Number of observations in data  base:  1200
(NEI)  Estimated annual increase of observations in  data base: 300(Estim
    ated)
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources  covered in data  base:  80
(NCS)  No. stations or sources currently originating/contributing data:
    15.
(NOF)  Number of facilities covered in data  base (source monitoring):  60
    •
(GEO)  Geographic coverage of data base: Selected federal region  Region
    V
(LOC)  Data elements identifying location of station or source include:
    State /City ;Town/township ;Street address
(FAC)  Data elements identifying facility include: Plant facility name
    ;PIant location ^Parent corp name ;Parent corp location >     Street
    address ;SIC code /NPDES
(CDE)  pollutant identification data are: Uncoded
(LIM)  Limitation/variation in data of which user should be aware: Evalu


                             1149

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                             Accession No,   9055000903      (cont)

    ation for toxicants only {sometimes     conventional also).
    Quality assurance varies by facility*   Limited amount of actual
    monitoring data.
(DpR)  Data collect,/anal* procedures conform to CRD guidelines: ORD
    Guidelines
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(ADD)  Lab Audit: Lab audit is satisfactory for part of the data base*
(PRE)  Precisions Precision and accuracy estimates partially exist for
    the data base.
{EOT)  Edittings Mo knoyn edit procedures exist,
(C8¥)  Data collected bys Sell reporting ^Regional office Surveillance
    and Analysis Division ^   Contractor State Pollution Control Agency

       6>                                l,l-dichloroethylene<75-35-4>
    1^If 2,2,-tetrachloroethane           1^2/4,-trichlorobenzene<120-82-l>
       <79-34~5>                         \f 2-dichlorobenzene<95-50-l>
    l#l*2-trichloroethane<79-00~5>       l,2-diehloroethane<107~06-2>


                             1150

-------
                         Accession Mo«  9055000903
                                                       (cont)
l,
1^
l
  2-dichloropropy lene<563-54-2>
  2~diphenylhydrazine<122-66-7>
  2-trans-dichloroethylene
   <156-60-5>
  3-dlchlorobenzene<541-73-i>
  4-dlchlorobenzena<106-46-7>
  4,6-trichlorophenol<88-06-2>
  ^ylt 8- te tr achlorod ibenzo-p-
   dioxin (tcdd)
  4~dichloropbenol<120-83-2>
  4»dimethylphenol<105-67-9>
  4-dInitrophenol<51-28-5>
  4»dinitrotoluene<12i-14-2>
  6-dinitrotoluene<606-20-2>
  chloroethylvinyl ether<110-75-8>
  cfcIororiaphthalene<91-58-7>
  chlorophenol<95-57-8>
  nitrophenol<88-75-5>
 ^4-benzof luoranthene<205-99-2>
 , 4 "-
            '-ddx) <7 2-55-
4, 6-dinItro-o-cresol<534~52-l>
4-bromophenyl phcnyl ether
   <101-55-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitr©phenol
acenaphthene<83-32-9>
acenaphthylene<208-96»8>
acrolein<107-02-8>
acrylonitrile<107~13-l>
aldrin<309-00-2>
anthracene<120-12-7>
antimony<7440-36-0>
arsenic<7440-38-2>
asbestos<1332-21~4>
benz!dine<92-87-5>
benzoC a)anthracene<56-55-3>
benzo(a)pyrene<5Q-32-8>
benzo(k)fluoranthene<207-08-9>
beryllium<7440-41»7>
bhc (lindane)-ganuna<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<31 9-86-8>
bls(2-chloroethoxy)raethane
bis(2-chloroethyl)ether
bis(2~chloroisopropyl)ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis(chloromethyl)ether<542-88«l>
bromoraethane<74-83-9>
butyl benzyl pbthalate<85-68-?>
c adffliura<7 440- 43-9>
carbon tetrachloride<56-23-5>
chl or dane< 57-74-9>
chlorobenzene<108-90-7>
chlorodibrOffiomethane<124-48-l>
chl oroethane<75-00-3>
chloroforia<67-66-3>
chloroiaethane<74-87-3>
chromiuin<7440-47-3>
chrys€ne<218-01»-9>
copper<7440-50-8>
cyan!de<57-12-5>
di-n-butyl phthalate<84-74-2>
di~n-octyl phthalate<117-84-0>
diben2o{a#h)anthracene<53-70-3>
dIchlorobromoraethane<75-27-4>
dichlorodifluoroniethane<75-71«8>
dlchlO£OHiethane<75-09»2>
dieldrin<60»57-l>
diethyl phthalate<84-66-2>
dlnethyl phthalate<131-ll-3>
endosulfan sulfate< 1031-07- 8>
endosul £an-alpha<959-98-8>
endosul f an-beta<33213-6 5-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylbenzene<100-41-4>
fluoranthene<206-44-0>
f luorene<86-73-7>
heptachlor epoxide<1024-57-3>
hep tachlor<76-44~8>
hexachlorobenzene<118-74»l>
hexachlorobutadiene<87-68-3>
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
Indeno <1^2jr3-cd)pyrene<193~39-5>
Isophorone<78-59-l>
lead<7439-92-l>
mercury<7439-97-6>
n-nitroscdi-n-propylamine
   <621-64-7>
n-nitrosod!iaethylainIne<62-7S-9>
H"nitrosodIphenylaralne<86-30-»6>
isaphthalene<91-20-3>
                         1151

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                             Accession No.  9055000903     (cent)

    nickel<7440-02-0>                    pentachlorophenol<87-86-5>
    nitrobenzene<98-95-3>                phenanthrene<85-01-8>
    p-chloro-ra-cresol<59-50-7>           phenol
    pcb-1016 {arochlor 1016)             pyrene<129-00-0>
       <12674-ll-2>                      radon<10043-92-2>
    Pcb-1221 (arochlor 1221)             seleniun><7782-49-2>
       <11104-28-2>                      silver<7440-22-4>
    pcb-1232 {arochlor 1232)             tetrachloroethylene<127-18-4>
       <11141-16-5>                      thalliuin<7440-28-0>
    pcb-1242 (arochlor 1242)             toluene<108-88-3>
       <53469-21-9>                      toxaphene<8001-35-2>
    pcb-1248 (arochlor 1248)             tribronoiethane<75-25-2>
       <12672-29-6>                      trichloroethylene<79-01^6>
    pcb-1254 {arochlor 1254)             trichlorofluororaethane<75-69~4>
       <11097-69-l>                      uraniura<7440-61-1>
    pcb-1260 (arochlor 1260)             vinyl chloride<7S-01-4>
       <11096-82-5>                      zlnc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data base: 71-55-6
    ; 79-34-5; 79-00-5; 75-34-3; 75-35-4;       120-82-1? 95-50-1;
    107-06-2; 78-87-5; 563-54-2; 122-66-7; 156-60-5;   541-73-1;
    106-46-7; 88-06-2; 120-83-2; 105-67-9; 51-28-5; 121-14-2;
    606-20-2; 110-75-8? 91-58-7? 95-57-8; 88-75-5; 91-94-1; 205-99-2?
    72-55-9; 50-29-3; 534-52-1? 101-55-3? 7005-72-3; 100-02-7; 83-32-9?
    208-96-8? 107-02-8; 107-13-1? 309-00-2? 120-12-7? 7440-36-0;
    7440-38-2? 1332-21-4; 71-43-2; 92-87-5; 56-55-3; 50-32-8; 191-24-2;
    207-08-9; 7440-41-7? 58-89-9? 319-84-6? 319-85-7? 319-86-8?
    111-91-1?      111-44-4? 39638-32-9; 117-81-7; 542-88-1; 74-83-9?
    85-68-7?      7440-43-9? 56-23-5? 57-74-9? 108-90-7? 124-48-1;
    75-00-3? 67-66-3;    74-87-3? 7440-47-3? 218-01-9; 7440-50-8;
    57-12-5; 84-74-2; 117-84-0;       53-70-3; 75-27-4; 75-71-8;
    75-09-2; 60-57-1; 84-66-2; 131-11-3?       1031-07-8? 959-98-8;
    33213-65-9; 7421-93-4; 72-20-8; 100-41-4?   206-44-0? 86-73-7?
    1024-57-3? 76-44-8? 118-74-1? 87-68-3; 77-47-4;    67-72-1;
    193-39-5; 78-59-1? 7439-92-1; 7439-97-6; 621-64-7? 62-75-9?
    86-30-6? 91-20-3; 7440-02-0? 98-95-3; 59-50-7; 12674-11-2;
    11104-28-2? 11141-16-5? 53469-21-9? 12672-29-6? 11097-69-1?
    11096-82-5? 87-86-5? 85-01-8? 108-95-2? 129-00-0; 10043-92-2;
    7782-49-2? 7440-22-4? 127-18-4? 7440-28-0? 108-88-3? 8001-35-2?
    75-25-2? 79-01-6; 75-69-4? 7440-61-1? 75-01-4; 7440-66-6
(CUM)  Contact name(s): Pratt,G.D.;    Pratt,G.D.
(ROR)  Responsible Organization: Region V. Hater Management Division.
                             1152

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                             Accession No.   9055000904


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                             Accession No.   9055000904     (cont)


       6>                                l,2-dichloroethane<107-06-2>
    1,1,2,2,-tetrachloroethane           l,2-dichloropropane<78-87-5>
       <79-34-5>                         1,2-dichloropropylen«<563-54-2>
    l,l,2-trichloroethane<79-00-5>       l,2-dlphenylhydrazine<122-66-7>
    l,l-dichloroethane<75-34-3>          1,2-trans-dichloroethylene
    l,l-dichloroethylene<75-35-4>           <156~60~5>
    l,2,4,-trichlorobenzene<120-82-l>    l,3-dichlorobenzene<541-73-l>


                             1154

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                         Accession No.  9055000904
                  (cont)
l,4-dichlorobenzene<106-46-7>
2,4,€-trichlorophenol<88-06-2>
2, 4,7/ 8-tetrachlorodibenzo-p-
   dioxin (tcdd)
1t 4-dlchlorophenol<120-83-2>
1t 4-diraethylphenol<105-67-9>
2/4-dinitrophenol<51-28-5>
2j,4-dtnitrotoluene<121-14-2>
1t 6-dinitrotoluene<606-20-2>
2-chloroethylvinyl ether<110-75-8>
2-chloronaphthalene< 91-5 8-7>
2-chlorophenol<95-57-8>
2-nitrophenol<88-75-5>
3,3*-dichlorobenzidine<91-94-l>
3/4-benzofluoranthene<205-99-2>
4,4*-ddd(p,p'tde)
4,4'-dde(p,p'-ddx)<72-55-9>
4/4--ddt<50-29-3>
4,6-dlnitro-o-cresol<534-52-l>
4-bronophenyl phenyl ether
   <101-55-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
acenaphthene<83-32-9>
acenaphthylene<208-96-8>
acrolein<107-02-8>
acrylonitrile<107-13-l>
aldrln<309-00-2>
anthracene<120-12-7>
antlmony<7440-36-0>
ars€nlc<7440-38-2>
asbestos<1332-21-4>
benzene<71-43-2>
benzidine<92-87-5>
benzo(a)anthracene<56-55-3>
benzo(a)pyrene<50-32-8>
benzo( q, hf i) pery lene
benzo
beryllium<7440-41-7>
bhc (llndane)-ganjina<58-89-9>
bhc-alpha<31 9-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
bis (2-ch lore ethoxy) methane
bis(2-chloroethyl)ether
bis (2-chloroisopropyl) ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis(chloromethyl)ether<542-88-l>
bromomethane<74-83-9>
butyl benzyl phthalate<85-68-7>
cadmiura<7440-43-9>
carbon tetrachlorlde<56-23-5>
chlordane<57-74-9>
chlorobenzene<108-90-7>
chlorodibroraoraethane<124-48-l>
chloroethane<75-00-3>
chlorofora<67-66-3>
chloromethane<74-87-3>
chrooiura<7440-47-3>
chrysene<218-01-9>
copper<7440-50-8>
cyanide<57-12-5>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
dlbenzo(a/h)anthracene<53-70-3>
dichlorobroaoBethane<75-27-4>
dichlorodifluoronethane<75-71-8>
dichloroaethane<75-09-2>
dieldrin<60-57-l>
diethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
endosulfan sulfate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylbenzene<100-41-4>
fluoranthene<206-44-0>
fluorene<86-73-7>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene
hexachlorobutadiene<87-68-3>
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
indeno (l,2/3-cd)pyrene<193-39-5>
isophorone<78-59-l>
lead<7439-92-l>
mercury <7439-97-6>
n-nitrosodi-n-propylaminip
   <621-64-7>
n-nitrosodimethylamine<62-75-9>
n-nitrosodiphenylatBine<86-30-6>
naphthalene<91-20-3>
nickel<7440-02-0>
nltrobenzene<98-95-3>
organics
p-chloro-m-cresol<59-50-7>
pcb-1016 (arochlor 1016)
   <12674-ll-2>
                         1155

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                             Accession No.   9055000904     (cont)

    pcb-1221 (arochlor 1221)             pyrene<129-00-0>
       <11104-28-2>                      radon<10043-92-2>
    pcb-1232 {arochlor 1232}             seleniura<7782-49-2>
       <11141-16-5>                      silver<7440-22-4>
    pcb-1242 {arochlor 1242)             tetrachloroethylene<127-18-4>
       <53469-21-9>                      thalliura<7440-28-0>
    pcb-1248 (arochlor 1248)             toluene<108-88-3>
       <12672-29-6>                      toxaphene<8001-35-2>
    pcb-1254 (arochlor 1254)             trlbroraoBethane<75-25-2>
       <11097-69-l>                      trichloroethylene<79-01-6>
    pcb-1260 (arochlor 1260)             trichlorofluoroiaethane<75-69-4>
       <11096-82-5>                      uraniunK744Q-6i-l>
    pentachlorophenol<87-86-5>           vinyl chloride<75-01-4>
    phenanthrene<85-01-8>                zinc<7440-66-6>
    phenol<108-95-2>
(CAS)  CAS registry numbers of substances included in data base: 71-55-6
    ; 79-34-5;  79-00-5; 75-34-3; 75-35-4;       120-82-1? 95-50-1;
    107-06-2; 78-87-5; 563-54-2; 122-66-7;  156-60-5;   541-73-1;
    106-46-7; 88-06-2; 120-83-2; 105-67*9;  51-28-5; 121-14-2;
    606-20-2; 110-75-8; 91-58-7; 95-57-8; 88-75-5; 91-94-1; 205-99-2;
    72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7; 83-32-9;
    208-96-8; 107-02-8; 107-13-1; 309-00-2; 120-12-7; 7440-36-0;
    7440-38-2;  1332-21-4; 71-43-2; 92-87-5; 56-55-3; 50-32-8; 191-24-2;
    207-08-9; 7440-41-7; 58-89-9; 319-84-6; 319-85-7; 319-86-8;
    111-91-1;      111-44-4; 39638-32-9; 117-81-7; 542-88-1; 74-83-9;
    85-68-7;      7440-43-9; 56-23-5; 57-74-9; 108-90-7; 124-48-1;
    75-00-3; 67-66-3;    74-87-3; 7440-47-3; 218-01-9; 7440-50-8;
    57-12-5; 84-74-2; 117-84-0;       53-70-3; 75-27-4; 75-71-8;
    75-09-2; 60-57-1; 84-66-2; 131-11-3;       1031-07-8; 959-98-8;
    33213-65-9; 7421-93-4; 72-20-8; 100-41-4;   206-44-0; 86-73-7;
    1024-57-3;  76-44-8; 118-74-1; 87-68-3;  77-47-4;    67^72-1;
    193-39-5; 78-59-1; 7439-92-1; 7439-97-6; 621-64-7; 62-75-9;
    86-30-6; 91-20-3; 7440-02-0; 98-95-3; 59-50-7; 12674-11-2;
    11104-28-2; 11141-16-5; 53469-21-9; 12672-29-6; 11097-69-1;
    11096-82-5; 87-86-5; 85-01-8; 108-95-2; 129-00-0; 10043-92-2;
    7782-49-2;  7440-22-4; 127-18-4; 7440-28-0; 108-88-3; 8001-35-2;
    75-25-2; 79-01-6; 75-69-4; 7440-61-1; 75-01-4; 7440-66-6
(CNH)  Contact  name(s): Pratt,6.  ;    Pratt/G.  ;   Barney,J.
(ROR)  Responsible Organization: Region V.Water Management Division*
                             1156

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                             Accession No.   9055000905

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Models  Toxicant Control Fish Tissue
    Analyses
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model: Tissue fish
(A8S)  Abstract/Over view of  Data Base or Model:  As part of  Region V*s
    surface water toxicant control  program, fish from major tributaries
    to the    Great Lakes and the Ohio and  Mississippi  Rivers basins
    are  being analyzed for  persistant bioaccumulative  toxicants*
    Toxicant probleas surfaced by this work will result In  specific
    National Pollutant Discharge Elimination System    (NPDES) permit
    limit*  Emphasis is placed on chemicals that are  highly toxic,
    that tend to  bio-accumulate and are carcinogenic   or mutagenic*
    Organic scans are run and the significant peaks   are analyzed
    quantitatively.
(CTC)  CONTACTS;  Subject matter   Glenn Pratt/Jon Barney (312)
    353-2098    ;     EPA Office  Gl
(DTP)  Type of data collection or monitoring: Ambient data  collection
(STA)  Data Base  status: Operational/ongoing
(NPP)  Non-pollutant parameters Included in the data base:  Biological
    data ;Chemical data ^Collection method  ;Exposure data ;
    Geographic subdivision }Location ?Sampling date ?Site description  ;
    Test/analysis method
(DS)  Time period covered by data base: 02-01^-78 to 01-03-83
(TRM)  Termination of data collection: Anticipated 03-84
(FRQ)  Frequency  of data collection or sampling: Other  As needed in the
    sumraer and fall, 1 to 5  times per site
(NOB)  Number of  observations in data base: 3100.(Estimated)
(NEI)  Estimated  annual increase of observations in data base: 350
(INF)  Data base  includes: Raw data/observations
(NTS)  Total number of stations or  sources  covered in data  base: 146.
(NCS)  No. stations or sources currently originating/contributing data?
    30
(NQF)  number of  facilities  covered In data base (source monitoring):  (N
    /A.)
(GEO)  Geographic coverage of data base: Selected federal region Region
    V
(LOC)  Data elements identifying location of station or source include:
    State ^Project identifier ;river mile
(FAC)  Data elements Identifying facility include: N/A

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                             Accession Ho.  90 55000905     (cent)

    federal agency Fish and Wildlife Service
(ABY)  Data analyzed bys Regional office Region V
    EPA lab Environmental Research Lab-Duluth
    Contractor lab various Environmental Research Lab contractors
(IDL)  Laboratory identifications YES
(PR1)  Primary purpose of data collections Development of regulations
    or standards
(PR2)  Secondary purpose of data collection: Compliance or enforcement^
    surveillance
(AUT)  Authorization for data collections Statutory authorization is P
    L 92-500 as amended, {Clean Water Act-CMA)
COMB)  Data collected/submitted using OMB-approved EPA reporting forms!
    QQ
(REP)  Form of available reports and outputs of data base: Unpublished
    reports; results of analysis. Report is in draft stages and is
    available*
CMOS)  lumber of regular users of data bases 200 or more
(USR)  Current regular users of data bases SPA regional offices
    EPA laboratories
    Other federal agencies
    States
(CNF)  Confidentiality of data and limits on access: Ho limits on
    access to data
(DLC)  primary physical location of data! Regional office
(DST)  Form of data storages Original form (hardcopy* readings)
(DAC)  Type of data access: Manually
CCHG)  Direct charge for non-EPA uses none
(UPDT)  Frequency of data base master file up-dates Annually
(CMP)  Completion of forms
    Glenn Pratt and Peter Redmon
    OFC: EPA/Region ?/Water Division
    AD: 230 S. Dearborne Chicago, 111. 60604
    PHS (312) 353-2098
(DF)  Date of form completions 01-03-83 updated
(NMAT)  Number of substances represented in data base: 7
(NCAS)  Number of CAS registry numbers in data bases 6
(MAT)  Substances represented in data base I
    cadraium<7440-43-9>                   iuercurF<7439-97-6>
    chromium<7440-47~3>                  organic GC/MS scans for significa
    copper<7440-50-8>                       t organics
    iead<7439~92-l>                      zinc<7440-66~6>
(CAS)  CAS registry numbers of substances included in data base! 7440-43
    -9; 7440-47-3| 7440-5Q-8| 7439-92-lJ   7439-97-6| 7440-66-6
(CNM)  Contact narae(s): PrattrG»  1    Pratt^G,  >   8arney^J«
(ROR)  Responsible Organizations Region ¥«Mater Management Division.
                             1158

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                             Accession Mo«   9055000906

(D8)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model; Hazardous Materials  Site  Files
(ACR)  Acronym of Data Sase  or Models  HMS
(MED)  Media/Subject of Data Base or Models  Drinking Mater ;Ground
    water ;Soil ^Surface water
(ABS)  Abstract/Overview of  Data Base  or Model;  The files contain
    information relating to  hazardous     waste sites in Region ¥«  They
    are arranged alphabetically by    site  name  and state*  and contain
    the following items as     appropriates   site identification^
    preliminary assessment^   tentative dispostionjr final disposition*
    and site inspection     forms and  reports.  Internal enforcement
    records and records     of formal  state  and federal enforcement
    actions are kept,   as well as relevant  correspondence  and
    communication records.
(CTC)  CONTACTS: Subject matter   Arnold Leder  (312) 353-2114    |
    Computer-related  Arnold
(DTP)  Type of data collection or monitoring:  Point source  data
    collection hazardous waste sites
(STA)  Data Base status; Discontinued
(GRP)  Groups of substances  represented in  Data Bases RCRA  hazardous
    wastes
(NPP)  Bon-pollutant parameters included in the data bases  Chemical
    data ;Compliance data ^Disposal ^Location ;SampIing date ;    Site
    description
(DS)  Time period covered by data base; 02-01-80 TO 09-30-81
(TRM)  Termination of data collection; Not  anticipated
(FRQ)  Frequency of data collection or sampling; Other  As needed varies
    by site
(NOB)  Number of observations in data  base?  over 100*(Estimated)
(MED  Estimated annual increase of observations in data base; 50-100*
(INF)  Data base includes; Sutomary aggregate observations
(NTS)  Total number of stations or sources  covered in data  base; 160«
(KCS)  fiO, stations or sources currently originating/contributing data;
    10 (or less.)
(HOP)  Rumber of facilities  covered in data base (source monitoring};  16
    0*
(GEQ)  Geographic coverage of data base; Selected federal region Region
    V

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                             Accession No.   9055000906     (cent)

(ANL)  Lab analysis based on EPA-approved or accepted methods? HO
    Leder,A.  >    Leder,A.
(RQR)  Responsible Organization: Region V.Hater Management Division.
                             1160

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                             Accession Ho.   9055000907

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Wame of Data Base of  Model:  National Pollutant Discharge
    Elimination System  (NPDES)  Compliance  Files
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Kedia/Subject of Data Base or  Model: Effluents from  National
    pollutant Discharge Elimination System  (NPD£S)  permitted
    facilities.
(ABS)  Abstract/Overview of  Data Base or Model: Files containing
    information relating to  the compliance  status of permit holders
    under the National Pollutant Discharge  Elimination  Systen  (NPDES)
    permit  program.  Files  are arranged in alphabetical  order by
    State in the Water and Hazardous  Materials Compliance  Section*
    Files contain National Pollutant  Discharge   Elimination System
    (NPDES) permits, self monitoring     reports,  state  and  federal
    inspection reports/ state   and federal enforcement actions,
    notices of  noncorapliance from permittees and other correspondence
    relating to the status of permittee compliance.
(CTC)  CONTACTS: Subject matter   Arnold Leder  (312)353-2114;    EPA
    Office  Arnold Leder  (31
(DTP)  Type of data collection or monitoring: Point source  data
    collection industrial and municipal
(STA)  Data Base status: Operational/ongoing
(GRP)  Croups of substances  represented in  Data Base: 11  conventional
    water
(NPP)  Eon-pollutant parameters included in the data base:  Compliance
    date ;Discharge points ;Flou rates ;Inspection  data ;  Location
    ;Sampling date
(OS)  Time period covered by data base: 09-01-74  TO 09-30-81
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Freguency of data collection or sampling:  daily  ; Other  monthly
    discharge monitoring reports contain data typically    collected
    daily, some nay vary in  frequency.
(NOB)  Number of observations in data base: 500000  or more.(Estimated)
(NED  Estimated annual increase of observations  in data  base: 90000*
(IWF)  Data base includes: Raw data/observations  ;Sunmary aggregate
    observations
(NTS)  Total number of stations or sources  covered  in data  base:  1069
    (majors.)
(NCS)  No. stations or sources currently originating/contributing data:
    1069 (majors.)
(NOF)  Number of facilities  covered in data base  (source  monitoring):  10
    69 (majors.)
(GEO)  Geographic coverage of data base: Selected federal region  Region
    V
(LOG)  Data elements identifying location of station or source include:
    State /City ;Toun/tounship ;Street address ^Project Identifier
    NPDES number
(FAC)  Data elements identifying facility include:  Plant  facility name
    ?Plant location jNPDES
(CDS)  Pollutant identification data  ares Oncoded
(LIM)  Limitation/variation  in data of which user should  be auare: Typic
    ally there is a three month delay  in receipt of discharge


                             1161

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                             Accession No.   9055000907      (cont)

    monitoring reports.   Variations in permit requirements may cause
    variations In data being available.
(DPR)  Data collect./anal*  procedures conform to ORD guidelines: Sanplin
    g plan documented
(AND  Lab analysis based on EPA-approved or accepted methods? MO
(PRE)  Precision: Precision and accuracy estimates exist but are not
    included in data base    (from compliance evaluation sampling  only)
(EOT)  Editting;  No known edit procedures exist.
(CflY)  Data collected by: Self reporting Permittees ;State agency
    perform compliance evaluation inspection compliance sampling
    inspections.  ^Regional office Surveillance and Analysis Divisions
(ABY)  Data analyzed by:  Self reporting Permittees
    State agency  state environmental protection agencies
    Regional office Surveillance and Analysis Divisions
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Compliance or enforcement
(PR2)  Secondary  purpose  of data collection: Program evaluation
(AUT)  Authorization for  data collection: Statutory authorization  Is  P
    L 92-500 as amended,  Section 309 (Clean Hater  Act-CHA)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base: Unpublished
    reports Quarterly Non-Compliance Evaluation/Report
(MUS)  Number of  regular  users of data base: 1 office
(USR)  Current regular users of data base:  EPA regional offices
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: Regional office
(DST)  Form of data storage: Original form (hardcopy/ readings)
(OAC)  Type of data access: Manually
(CHG)  Direct charge for  non-EPA use: yes
(UPDT)  Frequency of data base master file up-date: Monthly
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    Permit Compliance System (PCS);    National Pollutant Discharge
    Elimination System (NPDES);    Grants Information and Control
    System (GJCS)/ ENF-Q     (Region V-report on violations and actions)
(ODS)  Other pertinent non-EPA data bases:  State maintained National
    pollutant Discharge Elimination System (NPDES) permit  and
    compliance files for  minor discharges
(CMP)  Completion of form:
    S.K. Swanson
    OFC: EPA/Region ?/Compliance Section
    AD: 230 So. Dearborn  Chicago, IL 60604
    PH: (312)886-6708
(DF)  Date of form completion: 01-06-83
(NMAT)  Number of substances represented in data base:  11
(NCAS)  Number of CAS registry numbers in data base: 2
(MAT)  Substances represented in data base:
    acidity                              fecal coliform
    alkalinity                           nltrogen<7727-37-9>
    dissolved oxygen                     oil and grease
    dissolved solids                     oxygen demand


                             1162

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                             Accession Mo.   9055000907
(cont)
    pH                                   suspended solids
    phosphorus<7723-14-0>
(CAS)  CAS registry numbers of substances included in data bases  7727-37
    -9; 7723-14-0
(CNM)  Contact narae(s): Leder,A.  f    L*d«r,A.
(ROR)  Responsible Organizations Region f«later Nanagenent Division.
                             1163

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                             Accession No.   9057000002

80
(TRM)  Termination of data collection: Completed 02/30/81
(FRQ)  Frequency of data collection or sampling: one time only
(NOB)  Number of observations in data base:  about 400.(Estimated)
(NED  Estimated annual increase of observations in data base:  (N/A.)
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources covered in data base: 14.
(NCS)  No- stations or sources currently originating/contributing data:
    0.
(NOF)  Number of facilities covered in data  base (source monitoring): 1*
(GEQ)  Geographic coverage of data base: County/smaller location Crete,
    Illinois
(LOG)  Data elements identifying location  of station or source  include:
    State ;Town/township ^Street address jback yard ;pond name
(FAC)  Data elements identifying facility  include: Plant facility name
    jPlsnt location
(CDE)  Pollutant Identification data are:  Uncoded
(LIM)  Limitation/variation in data of which user should be aware:  None
(DPR)  Data collect./anal, procedures conform to CRD guidelines: Samplln
    g plan documented Collection method documented ^Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved  or accepted methods?  YES
(ADD)  Lab Audit: Lab audit is satisfactory  for  75%.
(PRE)  Precision: Precision and accuracy estimates partially exist  for
    for EPA lab analysis   data only Edit  is satisfactory.
(CBY)  Data collected by: Regional office  Central Regional Lab,
    Surveillance and  Analysis Division, Regio
(ABY)  Data analyzed by: State agency Illinois Department of Public
    Health
    Regional office Central Regional Lab,  Surveillance  and     Analysis
    Division, Region V


                             1164

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                             Accession No.   9057000002      (cont)

    Contractor lab University of Nebraska
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Compliance or enforcement
(AUT)  Authorization for data collection: No statutory  requirement:
    Data collection requirement is    to determine whether health
    complaints could be linked to a specific  incinerator*
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: Published
    paper & raw data
(HUS)  Number of regular users of data base: 6
(USR)  Current regular users of data base:  EPA headquarter offices
    EPA regional offices
    States
    University of Illinois
(CNF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  Primary physical location of data: Regional office /State agency
(DST)  Form of data storage: Original form (hardcopy/ readings)
(DAC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base master file up-date: Other one time
    sampling program only
(CMP)  Completion of form:
    Carolyn Hesse
    OFC: EPA/Region V/Toxic Substances Office
    AO: 230 S. Dearborn St. Chicago, IL 60604
    Pfl: (312)353-2291
CDF)  Date of form completion: 01-27-83
(NMAT)  Number of substances represented in data base:  23
(NCAS)  Number of CAS registry numbers in data base; 14
(MAT)  Substances represented in data base:
    aluminura<7429-90-5>                  molybdenum and compounds
    antimony<7440-36-0>                     <7439-98-7>
    arbenzodioxin(s)                     organic GC/HS  scans for signified
    arsenic<7440-38-2>                      t organics
    bromide                              palladium
    cadwium<7440-43-9>                   polybrominated biphenyls  (PBBs)
    calcium                              polychlorlnated biphenyls (PCBsJ
    chloride                             sllver<7440-22-4>
    chromium<7440-47-3>                  sodium<7440-23-5>
    copper<7440-50-8>                    tin
    dibenzofuran<132-64-9>               titaniun<7440-32-6>
    lead<7439-92-l>                      zlnc<7440-66-6>
    mercury<7439-97-6>
(CAS)  CAS registry numbers of substances included in data base: 7429-90
    -5; 7440-36-01 7440-38-2; 7440-43-9;   7440-47-3; 7440-50-8;
    132-64-9; 7439-92-1; 7439-97-6; 7439-98-7;      7440-22-4;
    7440-23-5; 7440-32-6; 7440-66-6
(CNM)  Contact narae(s): Hesse/C*
(COR)  Contact organization: Toxic Substance Office/ Region T
(ROR)  Responsible Organization: Region V.Air Management Division.


                             1165

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Accession Ho.  9057000002     (cont)
1166

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                             Accession No.   9057000003

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model: Hemlock,  Michigan Environmental
    Samples
(ACR)  Acronym of Data Base  or Model:  HEMLOCK
(MED)  Jfedia/Subject of Data Base or Model:  Drinking water ;Ground
    water jSedinent >Soil ;Surface water fish from rivers, bi Tissue
    fish, goose, chicken, squirrel, deer, COM.
(A8S)  Abstract/Overview of  Data Base or Model:  Data collection was a
    one time study to determine if the Hemlock,  MI area had been
    contaminated with toxic     substances.   Numerous saeiples sere
    collected and analyzed for    a variety of parameters*  This is not
    a continuous program*
(CIC)  CONTACTS: Subject matter   Karl Bremer  (312) 353-2291*     EPA
    Office  Karl Bremer  (312
(DTP)  type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Discontinued
(GRP)  Groups of substances  represented in Data Base: 129 30? CHA ?41
    CHA potential criteria ;9 potential drinking «ater  ;   48 cancelled
    pesticides ;9 monitoring pesticides
CNPP)  Son-pollutant parameters included in the data base: Health
    Effects Center for Disease Control generated
(DS)  Time period covered by data base: 10-00-79

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                             Accession Mo.  9057000003     (cent)

    Nebraska; Wright State University
CIDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collections Special study
(APT)  Authorization for data collection: No statutory requirement:
    Data collection requirement is    Senate Committee mandated special
    study in response to public complaints.
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  Report in
    document form
(NUS)  Number of regular users of data base: 5 or more
(OSR)  Current regular users of data base: EPA regional  offices
    local populace (town meeting)
(CNF)  Confidentiality of data and limits on access: No  limits on
    access to data
(DLC)  primary physical location of data: Regional office
(DST)  Form of data storage: Original form (hardcopy, readings)
(OAC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: No
(UPDT)  Frequency of data base master file up-date: Other data was
    gathered for a special study
(008)  Other pertinent non-EPA data bases: Center for Disease Control
    conducted health study in conjunction with EPA's  environmental
    monitoring in Hemlock, Michigan
(CMP)  Completion of form:
    Carolyn Hesse
    OFC: EPA/Region V/Toxic Substances Office
    AD: 230 S. Dearborne St. Chicago, IL 60525
    PH: (312) 353-2291
(DF)  Date of fora completion: 01-27-83
(NMAT)  Number of substances represented in data base: 145
(IfCAS)  Number of CAS registry numbers in data base: 147
(MAT)  Substances represented in data base:
    l,l,l-trichloroethane<71-55-         2,4,6-trlchlorophenol<88-06-2>
       6>                                2,4,7,8-tetrachlorodibenzo-p-
    1,1,2, 2,-tetrachloroethane              dioxin (tcdd)
       <79-34-5>                         2,4-dichlorophenol<120-83-2>
    l,l,2-trichloroethane<79-00-5>       2,4-dimethylphenol<105-67-9>
    l,l-dichloroethane<75-34-3>          2,4-dinitrophenol<51-28-5>
    l,l-dichloroethylene<75-35-4>        2,4-dinitrotoluene<121-14-2>
    l,2,4,-trlchlorobenzene<120-82-l>    2,6-dinltrotoluene<606-20-2>
    1,2-dichloroben2ena<95-50-l>         2-chloroethylvinyl ether<110-75-8>
    l,2-dichloroethane<107-0€-2>         2-chloronaphthalene<91-58-7>
    l,2-dichloropropane<78-87-5>         2-chlorophenol<95-57-8>
    l/2-dichloropropylene<563-54-2>      2-nltrophenol<88-75-5>
    l,2-diphenylhydra2ine<122-66-7>      3,3'-dichlorabenzldine<91~94-l>
    1,2-trans-dichloroethylene           3,4-benzofluoranthene<205-99-2>
       <156-60-5>                        4,4*-ddd(p,p'td«)
    l,3-dichlorobenzene<541-73-1>        4,4--dde(p,p*-ddx)<72-55-9>
    l,4-dichlorobenzene<106-46-7>        4,4'-ddt<50-29-3>
    2^4,5-trichlorophenoxypropionic      4,6-dinitro-o-cresol<534-52-l>
       acid (TPX93-72-l>


                             1168

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                         Accession No.  9057000003
                  (cont)
4-bromophenyl phenyl ether
   <101-55-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
acenaphthene<83~32-9>
acenaphthylene<208-96-8>
acetone<67-64-l>
acrolein<107-02-8>
acrylonitrile<107-13-l>
aldrin<309-00-2>
anthracene<120-12-7>
ars«nic<7440-38-2>
ben2ene<71-43-2>
benzidine<92-87-5>
benzo(a)anthracene<56-55-3>
ben:zo(a)pyrene<50-32-8>
benzo{g,h, i)perylene<191~24-2>
benzo(k)fluoranthene<207-08-9>
berylUum<7440-41-7>
bhc (lindane)-gaBina<5B-89-9>
bhc-alpha<319-84-6>
bhc-beta<3 19-85-7>
bhc-delta<319-86-8>
b!phenyl<92-52-4>
bis(2-chloroethoxy)methane
bis(2-chloroethyl)ether
bis (2-chloroisopropyl) ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
   
bis(chloromethyl)ether<542-88-l>
bromine<7726-95-6>
bromoraethane<74-83-9>
butyl benzyl phthalate<85-68-7>
cadHiium<7440-43-9>
carbon tetrachloride<56-23-5>
chlcrdane<57-74-9>
chlorodibroaomethane<124-48-l>
chloroethane<75-00-3>
chloroforra<67-66-3>
chlorofflethane<74-87-3>
chrysene<218-01-9>
copper <7440-50-8>
cyanide<57-12-5>
deraeton<8065-48-3>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
dialkyl ethers
dibenzo(a,h)anthracene<53-70-3>
dibenzofuran<132-64-9>
dichlorobromofflethane<75-27-4>
dichlorodifluoromethane<75-71-8>
dlchloronethane<75-09-2>
dieldrin<60-57'l>
diethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
diphenyl ether<101-84-8>
endosulfan sulfate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylb€nzene<100-41-4>
f luoranthene<206-44-0>
fluorene<86-73-7>
fluorides
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
h ex achlorobenzene< 118-7 4-l>
hexachlorobutadiene<87-68-3>
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
indeno (l/2/3-cd)pyrene<193-39-5>
isophorone<78-59-l>
kcpone<143-50-0>
Jead<7439-92-l>
nalathion<121-75-5>
mercury<7439-97-6>
methoxychlor<72-43-5>
methyl ethyl ketone (mek)<78-93-3>
mirex<2385-85-5>
n-alkanes clO-c30
n-nltrosodi-n-propylamine
   <62l-64-7>
n-nitrosodiraethylaniin€<62-75-9>
n-nitrosodiphenylaffline<86-30-6>
naphthalene<91-20-3>
nltriloacetates
nitrobenzene<98-95-3>
p-chloro-m-cresol<59-50-7>
parathion<56-38-2>
pcb-1016 Carochlor 1016)
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <1 11 04-28- 2>
pcb-1232 (arochlor 1232)
pcb-1242 (arochlor 1242)
   
                         1169

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                             Accession Ho.   9057000003     (cont)

    pcb-1248 (arochlor 1248)             sodium and compounds<7440-23-5>
       <12672-29-6>                      styrene<100-42-5>
    pcb-1254 (arochlor 1254)             terpenes
       <11097-69-l*>                      tetrachloro«thylene<127-18-4>
    pcb-1260 (arochlor 1260)             thaiUum<7440-28-0>
       <11096-82-5>                      toluene
    p€ntachlorophenol<87-86-5>           toxaphene<8001-35-2>
    phenanthrene<85-01-8>                tribrom®ro@thane<75-25-2>
    phenol<108-95-2>                     trich!oro@thylene<79-01-6>
    polychlorinated biphenyls (PCBs)     trichiorofluoromethane<75-69-4>
    pyrene<129-00-0>                     vinyl chloride<75-01-4>
    silver<7440-22-4>
(CAS)  CAS registry numbers of substances Included In data bases 71-55-6
    ; 79-34-5;  79-00-5? 75-34-3; 75-35-4;       120-82-1? 95-50-1;
    107-06-2; 78-87-5; 563-54-2; 122-66-7;  156-60-5;   541-73-1;
    106-46-7; 93-72-1; 88-06-2; 120-83-2; 105-67-9; 51-28-5;
    121-14-2; 606-20-2; 110-75-8; 91-58-7;  95-57-8; 88-75-5; 91-94-1J
    205-99-2; 72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3;
    100-02-7;       83-32-9; 208-96-8; 67^64-1; 107^02-8; 107-13-1;
    309-00-2; 120-12-7;   7440-38-2; 71-43-2; 92-87-5; 56-55-3;
    50-32-8; 191-24-2; 207-08-9;    7440-41-7; 58-89-9; 319-84-6;
    319-85-7; 319-86-8; 92-52-4; 111-91-1;        111-44-4; 39638-32-9;
    117-81-7; 542-88-1; 7726-95-6; 74-83-9?    85-68-7; 7440-43-9;
    56-23-5; 57-74-9; 7782-50-5; 108-90-7;  124-48-1;       75-00-3J
    67^66-3; 74-87-3; 218-01-9; 7440-50-8;  57-12-5; 8065-48-3;
    84-74-2; 117-84-0; 53-70-3; 132-64-9; 75-27-4; 75-71-8; 75-09-2;
    60-57-1; 84-66-2; 131-11-3; 101-84-8; 1031-07-8; 959-98-8;
    33213-65-9; 7421-93-4; 72-20-8; 100-41-4; 206-44-0; 86-73-7;
    1024-57-3;  76-44-8; 118-74-1; 87-68-3;  77-47-4; 67-72-1; 193-39-Sl
    78-59-1; 143-50-0; 7439-92-1; 121-75-5; 7439-97^6; 72-43-5;
    78-93-31       2385-85-5; 621-64-7; 62-75-9; 86-30-6; 91-20-3;
    98-95-3; 59-50-7;     56-38-2; 12674-11-2; 11104-28-2; 11141-16-5;
    53469-21-9; 12672-29-6;       11097-69-1; 11096-82-5; 87-86-5;
    85-01-8; 108-95-2; 129-00-0;    7440-22-4; 7440-23-5; 100-42-5;
    127^18-4; 7440-28-0; 108-88-3;   8001-35-2; 75-25-2; 79-01-6;
    75-69-4; 75-01-4
(CjjM)  Contact  name(s): Bremer^K. ;    Breraer^K*
(ROR)  Responsible Organization: Region V«S.ir Management Division*
                             1170

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                             Accession No.   9057000004

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model:  Cadmium  level in soil amended with
    seuage sludge
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model: Soil
(ABS)  Abstract/Overview of Data Base or Model:  When gardeners who have
    had their soil tested for cadmium call  in with the results, the
    cadmium levels are noted*  The source of the cadmium is sewage
    sludge.  Data analysis is    not EPA funded.  Data collection is
    voluntary.
(CTC)  CONTACTS: Subject matter   Carolyn Hesse   (312) 353-2291   *f
    EPA Office  Region V, To
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Operational/ongoing
(NPP)  Non-pollutant parameters Included in the  data base: Location
(DS)  Time period covered by data base: 01-01-77 TO 09-30-80
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: as needed
(NOB)  Number of observations in data base: 50.(Estimated)
(NEI)  Estimated annual increase of observations in data base: 50*
(INF)  Data base includes: Raw data/observations
(NTS)  Total number of stations or sources covered in data base: 50-150.
(NCS)  No* stations or sources currently originating/contributing data:
    1 (time.)
(NOF)  Number of facilities covered in data base (source monitoring): (N
    /A.)
(GEQ)  Geographic coverage of data base: Geographic region Chicago area
(LOC)  Data elements identifying location of station or source include:
    SMSA /City ;Street address
(FAC)  Data elements identifying facility include: N/A
(CDE)  Pollutant identification data are: Uncoded
(LiM)  Limitation/variation in data of which user should be aware: The
    samples are collected by the gardeners   who send then to private
    labs, for analysis.  Laboratory    performance is not tested.
(ANL)  Lab analysis based on EPA-approved or accepted methods? NO
(PRE)  Precision: Precision and accuracy estimates exist but are not
    included in data base
(EDT)  Editting: No known edit procedures exist.
(CBY)  Data collected by: Self reporting gardeners
(ABY)  Data analyzed by: Contractor lab private  labs, samples sent by
    gardeners
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Risk  assessment
(PR2)  Secondary purpose of data collection: Anticipatory/research
(AUT)  Authorization for data collection: No statutory requirement:
    Data collection requirement is    to gather  data on soil content in
    area.
(OMB)  Data collected/submitted using OMB*approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of  data base: not in
    report form
(NUS)  Number of regular users of data base: 50-60


                             1171

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                             Accession No.   9057000004     (cont)

(USR)  Current regular users of data base:  EPA regional offices
    individual gardeners
(CNF)  Confidentiality of data and limits on access:  No limits on
    access to data
(DLC)  Primary physical location of data: Regional office
(DST)  Form of data storage: Manual summary of data
(DAC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: No
(UpDT)  Frequency of data base master file  up-date: Other Seasonal-most
    calls in spring
(CMP)  Completion of form:
    Carolyn Hesse
    OFC: EPA/Region V/Toxic Substances Office
    AD: 230 S. Dearborn St. Chicago, IL 60604
    PH: (312) 353-2291
(DF)  Date of form completion: 01-^-27-83
(NHAT)  Number of substances represented in data base: 2
(NCAS)  Number of CAS registry numbers in data base:  1
(MAT)  Substances represented in data base:
    cadBium<7440-43-9>                   ph
(CAS)  CAS registry numbers of substances included in data base: 7440-43
    -9
(CNM)  Contact name(s): Hesse,C.
(COR)  Contact organization: Region V, Toxic Substances Office
(ROR)  Responsible Organization: Region V.Air Management Division.
                             1172

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                             Accession No.   9065000903

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model:  Discharge Monitoring Report  Files
(ACR)  Acronym of Data Base or Model:  DNR
(NED)  Media/Subject of Data Base or Model:  Effluents point  source
    effluents
(ABS)  Abstract/Overview of Data Base  or Model:  This data base  contains
    all of the Discharge Monitoring Reports  submitted to the
    Enforcement Division    by National Pollutant Discharge  Elimination
    Systems    (NPDES) permittees in Region  VI.   It is  a manual (non-
    automated) data base.  It covers all conventional water
    pollutants/ as well as other pollutants  for  the  petrochemical and
    organic chemical Industries (estimated     20-30% of permittees).
(CTC)  CONTACTS: Subject matter   Glenn E. Bingham  (214) 767-2765;
    Computer-related  Glenn
(DTP)  Type of data collection or monitoring:  Point source data
    collection industrial and municipal
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances represented in Data  Base: 11 conventional
    water
(NPP)  Non-pollutant parameters Included in  the  data bases Collection
    method ;Corapliance data ^Concentration measures ^Discharge  points ;
    Flow rates ;Location ;Physical data jSalinity ;Sampllng  date ?
    Site description ^Temperature ;Test/analysis method ;Volume/mass
    measures
(OS)  Time period covered by data base: 03-01-73 TO 08-30-80
(TRM)  Termination of data collection: Mot anticipated
(FRQ)  Frequency of data collection or sampling: dally  ;neekly  ;monthly
(NOB)  Number of observations in data  base:  4000000 or  more.(Estimated)
(NEI)  Estimated annual increase of observations in data base:  1000000
    (or more.)
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources covered in data base: 5386*
(NCS)  No. stations or sources currently originating/contributing data:
    4567.
(NOF)  Number of facilities covered in data  base (source monitoring): 53
    86.
(G£0)  Geographic coverage of data base: Selected federal region Region
    v*
(LQC)  Data elements identifying location of station or source  include:
    State ;County ;Clty ;Toun/tounship ;street address  ^description of
    discharge loc
(FAC)  Data elements Identifying facility Include: Plant facility name
    jPlant location ^Parent corp name  ;NPDES
(CDE)  Pollutant identification data are: Uncoded
(LIM)  Limitation/variation in data of uhich user should be  auare: Data
    is permittee supplied and/ in most cases/     is unverified-covers
    both major and minor discharges.
(DPR)  Data collect./anal, procedures  conform to ORD guidelines: Samplin
    g plan documented Collection method documented ^Analysis method
    document QA procedures documented
(AND  Lab analysis based on EPA-approved or accepted methods?  YES


                             1173

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                             Accession Ho.  9065000903     Ccont)


    fecal coliform                       suspended solids
    nitrogen<7727-37-9>
(CAS)  CAS registry numbers of substances included in data base: 7727-37
    -9| 7723-14-0
(CMH)  Contact name(sK BinghanvG«E»   }    Bingham*G.E.
(COR)  Contact organization: Enforcement Division, Region VI
(ROR)  Responsible Organization: Region VT.Water Management Division.
                             1174

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                             Accession No.   9067000502

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Discharge Monitoring Report  Piles
(ACR)  Acronym of Data Base  or Model:  DHR PCS
(MED)  tfedia/Subject of Data Base or Model:  Effluents J Runoff  Rainfall
CABS)  Abstract/Overview of  Data Base  or Model:  This automated  data
    base contains all DMRs   submitted to the Mater Mgnt Division by
    NPDES permittees in Region 6. It contains major permittees  and
    selected minors-  Facilities not     included in data base  are in
    manual system - DMRs on  file*
(CTC)  CONTACTS: Subject matter  Robert Stender, Chief, Admin.
    Section   767-9929 ? Computer-related  Glenn Bingham, Computer
    Spec.  767-4379  }  EPA  Office  Robert Stender, Water Hgmt. Dlv.
    767-9929
(DTP)  Type of data collection or monitoring: Point Source
(STA)  Data Base status: Presently Operational/Ongoing
(GRP)  Groups of substances  represented in Data  Base: 129 307 CMA > 11
    conventional water
(NPP)  Non-pollutant parameters included in the  data base:  collection
    method or instrument ; compliance  data ;    concentration measures
    j discharge points ; flo« rates ?  geographic   subdivisions }
    industry ; inspection data ; location ;  physical data   ?
    precipitation ; salinity / sampling date } site description /
    temperature } test/analysis method } treatment devices or processes
    } volume/mass measures
(DS)  Time period covered by data base: 01-73 TO 09-82
{TRMj  Termination of data collection: Not Anticipated
(FRQ)  Frequency of data collection or sampling: Qngolng:Daily  ;
    Ongoing:Weekly } Ongoing:Monthly   ; Ongoing;quarterly
(NOB)  Number of observations in data  base:  5248800(Estimated to Date)
(NED  Estimated annual Increase of observations in data bases  583200
(INF)  Data base includes: Aggregate or summary  observations
(NTS)  Total number of stations or sources covered in data base: 6698
(NCS)  No. stations or sources currently originating/contributing data:
    669€
(NOF)  number of facilities  covered in data base (source monitoring): 66
    98
(GSO)  Geographic coverage of data base: Single  or selected Federal
    Regions - Region 6
(LOG)  Data elements identifying location of station or source  include:
    State } county ? city ;  town/township ?  street    address ; Other-
    description of discharge locations
(FAC)  Data elements identifying facility include: plant or facility
    name ? plant location ;  parent  corporation-name }  street address /
    sic code ; duns number ; NPDES number
(CDS)  pollutant identification data are: coded, storet parameter codes
    ; uncoded for DRMs  not  in PCS
(LiM)  Limitation/variation  In data of which user should be aware: Data
    is permittee supplied and quality  control    numbers may vary.
(DPR)  Data collect./anal, procedures  conform to GRD guidelines: YES
(AND  Lab analysis based on EPA-approved or accepted methods?  YES
(EOT)  Editting: partial - major DMRs  in QA program
(CBY)  Data collected by: self-reporting permittee


                             1175

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                             Accession No.  9067000502     (cent)

(ABY)  Data analyzed by: self-reporting % contractor lab

    EPA Regional Offices j States
(CNF)  Confidentiality of data and Halts on access: None
(DLC)  Primary physical location of data: Regional Office
(DST)  Form of data storage: Magnetic tape ; Magnetic disc ;
    Microf ich/microf ilai >  Origional form hardcopy, readings, etc*
(DAC)  Type of data access: Manual & VIA PCS QUIK LOOK
(CHG)  Direct charge for non-EPA use: YES
(UPOT)  Frequency of data base master file up-date: Other:  21 Weekly
(RSS)  Related EPA automated systems which use data base: Unknown
(RDBBPA)  Related EPA data bases used in conjunction with this data base
    Unknown
(ROB)  Non-EPA data bases used in conjunction with this data base: OnJcno
    wn
(OD8)  Other pertinent non-EPA data bases: Unknown
(CNP)  Completion of form: #Ruth Gibson t OF:  Water Mgmt. Dlv., Admin.
    Sec.f     AD:  1201 Elm, Dallas, TX  75270f  PH;  (214) 767-2945*
(DF)  Date of fora completion: 01-21-83
(MAT)  Substances represented in data base:
    radium 226                           benzo(g,h,i)perylene(l,12-
    acertaphthene                            benzoperylene)
    acenaphthylene                       benzot  alpyrene(3,4-benzopyrene)
    acroleln                             beryl Hum
    acrylonitrile                        bis(2-chloroethoxy)methane
    aldrin                               bis    (2-chloroethyl)ether
    anthracene                           bis(2-chloroisopropyl)ether
    antimony                             bis(chloromethyl)    ether
    arsenic                              bis(2-ethylhexyl)phthalate
    asbestos                             bromofom(tribromooethane)
    BHC-alpha                            4-   bromophenyl phenyl ether
    BHC-beta                             buthyl benzyl phthalate
    BHC (lindane)-gamma                  cadmium
    BHC-delta                            carbon  tetrachloride
    benzene                              chlordane
    benzidine                            chlorofaenzene
    benzo(a)     anthracened,2-         chlorodlbromomethane
       benzarthracene)                   chloroethane
    3,4-benzofluoranthene(benzo(b)       2-chloroethylvinyl ether
       fluoranthene)                     chioroform(trlchloromethane)
    benzo(k)fluoranthene                 p-chloro-m-cresol


                             1176

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                         Accession No.   9067000502
                  (coat)
2-chloronaphthalene
2-chlorophenol
chromium
4- chlorophenyl phenyl ether
chf ysene
copper
cyanide
4,4'-DDE(p,p*-DDX)
4, 4 '-DDT
dibenzot a, h3 anthracene
di-n-butyl    phthalate
If 2-dichlorobenzene
1,3-dichlorobenzene
If 4-dichlorobenzene
3,3*-dichlorobenzidlne
dichlorobroraoraethane
dichlorodifluorome thane
1, 1-dichloroethane
If 2-di chlo ro ethane
If 1-dlchloroethylene
1,2-trans- dichloroethylene
2f 4-dichlorophenol
I/ 2-dichloropropane
If 2-dichloropropylene
(1,3-dichloropropane)
dleldrin
diethyl phthalate
7, 4-dimethylphenol
dimethyl phthalate
4,6-dinitro-o-cresol
2^4-dinitrophenol
2/4-   dinitrotoluene
2^6-dinitrotoluene
di-n-octyl phthalate
1^2- dlphenylhydrazine
endosulfan-alpha
endosulf an-beta
endosulfan sulfate
endrin
endrin aldehyde
ethylbenzene
f lucranthene
f luorene
heptachlor
heptachlor epoxide
hexach lorobenzene
hexachlorobutadiene
hexach lorocy clop en tad iene
hexachloro ethane
indeno (l/2/3-cd)pyrene
isophorone
lead
mercury
methyl broraide(bromomethane)
methyl chloride  (chlorOBethane)
methylene chloride(dichloromethane
   )
naphthalene
nickel
nitrobenzene
2-nitrophenol
4-nitrophenol
n-nitrosodimethylamine
n-nitrosodiphenylamine
n-nitrosodi-n-propylamine
pentachlorophenol
phenanthrene
phenol
PCB-1016(arochior 1016)
PCB-1221(arochlor 1221)
PCB-1232(arochlor 1232)
PCB-1242(arochlor(1242)
PCB-1248(arochlor     1248)
PCB-1254{arochlor 1254)
PCB-1260(arochlor 1260)
pyrene
selenium
silver
2,4/7/8-tetrachlorodibenzo-p-
   dioxin(TCDD)
1,1,2,2-tetrachloro  ethane
tetrachloroethyIene
thallium
toulene
toxaphene
1/2^4-trichlor  obenzene
If If1-trichloroethane
1,1,2-trlchloroethane
trichloroethy1ene
trichlorofluoromethane
2,4,6-trichlorophenol
vinyl chloride
zinc
acidity
alkalinity
dissolved oxygen
dissolved solids
fecal conform
nitrogen  and compounds
oil & grease
oxygen demand
PH
phosphorus and compounds
                         1177

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                             Accession Mo.   9061000502      (cont)

    suspended solids                     PCBs
    alurcinua and coupounds               barlun
    annonia                              cadpiua
    fluorides                            chroniua
    Iron and    compounds                copper
    nolybdenun and compounds              iron
    nitrates/nitrites                    lead
    styrne                               Mercury
    vanadlun                             nickel
    aldrln                               selleniun
    dleldrin                             vanadlua
    endrln
(CNH)  Contact nane(s):  St«nd«r,R.    »   Blngha«,G.
(COR)  Contact organization:  Vater  Hanageaent  Division
(ROR)  Responsible Organizations  Region VI.Hater Management Division.
                             1178

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                             Accession No.   9067000503

(DQ)  Date of Questionalre:  12-02-82
(NAM)  Name of Data Base of  Model:  STORET:  Storage and Retrieval  of
    W.Q. Data
(ACR)  Acronym of Data Base  or Model:  STQRET
(MED)  Media/Subject of Data Base or Model: Drinking water  raw ;
    Effluents (NPDES) ; Ground   water > Runoff ; Sediment  ;  Surface
    water (all) ; tissue (fish)
(ABS)  Abstract/Over view of  Data Base  or Model; Mostly ambient surface
    uater quality observations some sediment and tissue residue
    observations occasional  ground water and fff effluent and runoff
    observations.  Observation can be  once    in tile or composite over
    space as time.
(CTC)  CONTACTS: Subject aatter   Charles S. Conger   8-382-7220  j
    Computer-related   Charles S. Conger   8-382-7220 ; EPA Office
    Charles S. Conger   8-382-7220
(DTP)  Type of data collection or monitoring: Ambient
(STA)  Data Base status: Presently Operational/Ongoing
(GRP)  Groups of substances  represented in Data Base: 129 307 CWA EPA
    Lab except asbestos & 2/3/7,8-TCDD      ; 11 conventional wate;  41
    CHA potential criteria } 21 drinking     water standards
(NPP)  Non-pollutant parameters included in the data base:  Biological
    data ; chemical data ; concentration   measures ; discharge points
    ; elevation ; flow rates ; geographic     subdivisions  ;  location }
    physical data ; political data j political  subdivision ; salinity
    ; sampling date > site description > temperature
(DS)  Time period covered by data base: 01-01 TO 99-99
(TRM)  Termination of data collection: Not anticipated
(FRQ)  Frequency of data collection or sampling: One tine only }
    ongoing:weekly ; ongolng:monthly   ; ongoing:quarterly  ;
    ongoing: semi-annually ;  ongoing:annually ;     ongoing:as needed
(NOB)  Number of observations in data  base: 60,000(Estiaated  to date)
(NEI)  Estimated annual increase of observations in data base: 12/000
(INF)  Data base includes: Ran data/observations ; aggregate  or summary
    observations
(NTS)  Total number of stations or sources covered in data  base:  1000
    state only
(NCS)  No. stations or sources currently originating/contributing data:
    1000
(NOF)  Number of facilities  covered in data base (source monitoring): ?
(GEO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source include:
    State ; county ; latitude and longitude, UTM/ or  other coordinates
    ; Other- Agency code/ basin, WRC Hydrologic Unit.
(FAC)  Data elements identifying facility Include: Other- Depends who
    stores site.
(CDE)  Pollutant identification data are: coded/ storet parameter codes
(LIM)  Limitation/variation  in data of which user should be aware: H/0
    contacting collecting agency use - should not utilize data for more
    than indicated studies
(DPR)  Data collect./anaI. procedures  conform to (3RD guidelines:  YES
    State/EPA Data only
(AND  Lab analysis based on EPA-approved or accepted methods? YES


                             1179

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                             Accession No,  9067000503     (cont)

    State/EPA Data only
(AUD)  Lab Audit: Partial varys
(PRE)  Precision: None available
(EOT)  Editting:  Partial
(CBY)  Data collected by: state agency, ADPC&E, LNDR, NMEID,  DSHD,  TDHR
    >    regional office S&A Lab ; Other Federal Agencies,  USGS,
    CDE-Districts,     BLM, USFS, USBR
(ABY)  Data analyzed by: State agency, ADDC&E, LDNR, NM, SLS  ?  Regional
    office, S&A Lab Contractor Lab, Several ; Other Federal agencies,
    USGS, CQE, BLI4, USFS, USBR
(IDL)  Laboratory identification: NO

-------
                             Accession  No.   9067000503
                   (cont)
    mercury
    nickel
    pentachlorophenol
    PCB-1016(arochlor 1016)
    PCB-1221(arochlor 1221)
    PCB-1232(arochlor 1232)
    PCB-1242(arochlor     1242)
    PCB-1248(arochlor 1248)
    PCB-1254(arochlor 1254)
    ?CB-1260(   arochlor 1260)
    selenium
    silver
    toxaphene
    zinc
    alkalinity
    dissolved     oxygen
    dissolved  solids
    fecal coliform
    nitrogen and compounds
    oil     &  grease
    oxygen  demand
    PH
    phosphorus and compounds
    suspended  solids
    amnonia
(CNH)  Contact name(s): Conger,C.S.   ;
(COR)  Contact organization: Charles S.

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                             Accession No.   9067000504

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  National Emissions Data System
(ACR)  Acronym of Data Base or Model: NEDS
(MED)  Media/Subject of Data Base or Model: Emissions (plants)  ;  Mobile
    source emissions
(ABS)  Abstract/Overview of Data Base or Model:  Refer to description of
    National System
(CTC)  CONTACTS: Subject matter  Ruth Tatora  Data Manager  (214)
    767-9772  ;  Computer-related   Virginia Smiley  Computer
    Specialist  (214) 767-2641  >  EPA Office  Environmental Analysis
    Section 6ES-    SA  (214) 767-9772
(DTP)  Type of data collection or monitoring: Combinations (point &
    area sources)
(STA)  Data Base status: Presently Operational/Ongoing
(GRP)  Groups of substances represented in  Data  Base: 7 criteria  NAAQS
    lead & ozone / Other - HC has been changed to VOC.
(NPP)  Ion-pollutant parameters included in the  data base: Compliance
    data > Concentration measures ;   location $ physical data  ;  site
    description j temperature
(DS)  Time period covered by data base: Unknown  TO 81-12
CtRJO  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: Gngoingiannually
(NOB)  Number of observations in data base; Oriknovn
(NEI)  Estimated annual increase of observations in data base:  Unknown
(INF)  Data base includes: Info for plants  emitting more than lOOT./yr
    of pollutant
{NTS)  Total number of stations or sources  covered in data base:  Unknown
(NCS)  No. stations or sources currently originating/contributing data:
    52 states & territories
(NOF)  Number of facilities covered in data base (source monitoring): On
    knoun
(G£0)  Geographic coverage of data base: National
(Loc)  Data elements identifying location of station or source  include:
    State j county i city j tOHn/township ; street    address }
    latitude and longitude, UTM^ or other coordinates }    individual
    project identifier
CFAC)  Data elements identifying facility include: Plant or facility
    name > plant location j street  address ; sic code } SCC (Source
    Class if iactioa Code)
(CDE)  Pollutant identification data are: Coded* other coding scheme
(DPR)  Data collect./anal, procedures conform to ORD guidelines:  NO
(AND  Lab analysis based on EPA-approved or accepted methods?  NO
(ADD)  Lab Audit: S/ASdata not based on laboratory analysis
(PRE)  Precision: None available
(EDf)  Editting: YES, documented edits
(C8Y)  Data collected by: Local agency ; State  agency
(ABY)  Data analyzed by: Local agency ; State agency
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:
   9067000504   40
(AU?)  Authorization for data collection: YES, citation 40CFR
(OMB)  Data collected/submitted using OMB-approved EPA reporting  foras;


                             1182

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                             Accession No.   9067000504     (cont)

    YES: DM3 form number 20000022
(REP)  Form of available reports and outputs of data base:  Publications
    - Refer to Nat'l NEDS Description    Regional Office doesn't print
    reports ; Printouts on request
           Ozone <10028-15-6>
    Hydrocarbons                         Sulfur   dioxide <7446-09-5>
    Lead <7439-92-l>                     Total suspended particulates
    Nitrogen dioxide <10102-44-0>
(CAS)  CAS registry numbers of substances included in data base: 630-08-
    0; 7439-92-1; 10102-44-0; 10028-15-6;       7446-09-5
(CNM)  Contact name(s): Tatom,R.  ;  Smiley,?.
(COR)  Contact organization: Environmental Analysis Section 6ES-SA
(ROR)  Responsible Organization: Region VI.Water Management Division.
                             1183

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                             Accession No.   9067000505

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Storage  and Retrieval  of  Aerometric
    Data
(ACR)  Acronym of Data Base or Model:  SARDAD
(MED)  Media/Subject of Data Base or.Model:  Air

    uind velocity
CDS)  Time period covered by data base: 01-59 TO 09-82
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: Qngolng:hourly ;
    ongoing:daily
(NOB)  Number of observations in data  base:  Unknown
(NED  Estimated annual increase of observations in data  base:  Unknown
(INF)  Data base includes: Raw data/observations ; aggregate or summary
    observations ; reference data or citations
(NTS)  Total number of stations or sources  covered in data  base:  Unknonn
fNCS)  No. stations or sources currently originating/contributing data:
    52 States & territories
(NOF)  Number of facilities covered In data base (source  monitoring): Un
    known
(GSO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or source  include:
    State ; county ; SMSA (Standard Metropolitan Statistical Area)  ;
    city ; town/township > street address > latitude  and longitude/
    0TM/ or other coordinates ; individual  project identifier
(CDE)  pollutant identification data are: Coded, Storet parameter codes
(DPR)  Data collect./anal, procedures  conform to ORD guidelines:  YES
(ANL)  Lab analysis based on EPA-approved or accepted methods?  YES
(ADD)  Lab Audit: NO
(PRE)  Precision: Partial
(EDT)  Editting: YES/ documented edits
(CBY)  Data collected by: Local agency ; State agency } Other Federal
    Agency ;   EPA Headquarters > other
(ABY)  Data analyzed by: Local agency  ; State agency ;  Other Federal
    Agency ;   EPA Headquarters ; other
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:
   9067000505   40


                             1184

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                             Accession No.   9067000505      (cont)

(A0T)  Authorization for data collection:  YES,  citation 40CFR
(OMB)  Data collected/submitted using OMB-approved EPA  reporting  forms:
    YES, multiple forms
(REP)  Form of available reports and outputs of data base:  Publications,
    Refer to Nat'l Description Region   6  has not published SAROAD
    Reports ; Printouts on request ; microfilm
(NUS)  Number of regular users of data base: 11, 10 Regional Offices
    and Hdqtrs.
(USR)  Current regular users of data base:  EPA  Headquarters Cffices-
    QAQPS,  RTP, NC ; EPA    Regional Offices ;  Other Federal Agencies ;
    States  ; Other- Consultants
(CNF)  Confidentiality of data and limits  on access: None
(DLC)  Primary physical location of data:  NCC/RTP
(DST)  Form of data storage: Magnetic Disc
(DAC)  Type of data access: Refer to National Report
(CHG)  Direct charge for non-EPA use: No outside use/access permitted,
    could be B for   State Agency Users of NCC; none to date In R-6,
(UPDT)  Frequency of data base master file up-date: Quarterly
(RSS)  Related EPA automated systems which use  data base: Refer to
    Nat'l SAROAD Description
(RDBEPA)  Related EPA data bases used in conjunction with this data base
    Refer to Nat'l SAROAD Description
(RDB)  Non-EPA data bases used in conjunction with this data base:  Refer
    to Nat'l SAROAD Description
(CMP)  Completion of form: # Ruth Tatora*  OFC:  6ES-SA Region 6#    AD:
    6ES-SA  EPA Region 6, 1201 Elm, Dallas,  TX  7S270#  PH:  (2#14)
    767-9772#
(DF)  Date  of form completion: 01-19-83
(NMAT)  Number of substances represented in data base:  22
(HCAS)  Number of CAS registry numbers in data  base: 20
(MAT)  Substances represented in data base:
    Carbon  monoxide <630-08-0>           Cobalt <7440-48-4>
    Hydrocarbons                         Copper <7440-50-8>
    Lead <7439-92-l>                     Iron <7439-89-6>
    Nitrogen dioxide <10l02-44-0>        Lead <7439-92-l>
    Ozone <10028-15-6>                   Manganese and compounds
    Sulfur    dioxide <7446-09-5>            <7439-96-5>
    Total suspended particulates         Mercury <7439-97-6>
    Arsenic <7440-38-2>                  Mlckel <7440-02-0>
    Barium  <7440-39-3>                   Selenium <7782-49-2>
    Beryllium <7440-41-7>                Titanium <7440-32-6>
    Cadmium <7440-43-9>                  Vanadium <7440-62-2>
    Chromium <7440-47-3>
(CAS)  CAS  registry numbers of substances included in data base:  630-08
    0; 7439-92-1; 10102-44-0; 10028-15-6?        7446-09-5;  7440-38-2;
    7440-39-3; 7440-41-7; 7440-43-9; 7440-47-3;     7440-48-4;
    7440-50-8; 7439-89-6; 7439-92-1; 7439-96-5; 7439-97-6;
    7440-02-0; 7782-49-2; 7440-32-6? 7440-62-2
(CNM)  Contact natne(s): fatom,R.  ;  Nelson,P.
(COR)  Contact organization: Environmental Analysis Section 6ES-SA
(ROR)  Responsible Organization: Region VI.Mater Management Division*
                             1185

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                             Accession No.   9075000901

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Consolidated Permits
    Program-Application Form l/2b*2c
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model:  Effluents point
    sources-nonmunicipal < industrial)
(ABS)  Abstract/Overview of  Data Base  or Model:  National  Pollutant
    Discharge Elimination System   (NPDES)  application form  indicates
    data on pollutants  contained in uastewater discharges.   Data is
    currently manual-Hill be automated in Permit Compliance  System  II
    (PCS II) or in the system for Consolidated  Permitting and
    Enforcement (SCOPE)
(CTC)  CONTACTS: Subject matter Carl V. Bloagren (816)374-2281;
    Computer-related Paul Hirth (816)374-2018;  EPA  Office Carl V.
    BlOBgren (816)374-2281
(DTP)  Type of data collection or monitoring: Point source data
    collection nonmunicipal  (industrial)
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in  Data Base: 129 307 CWA ;11
    conventional water ;41 CHA potential criteria
(NPP)  don-pollutant parameters included in the data base: Chemical
    data ^Discharge points ;Flow rates ;Industry ^Location ;  Population
    density ;Site description ;Treatment devices
(DS)  Time period covered by data base: 06-01-80 TO 09-30-81
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: one time only
(NOB)  Number of observations in data  base:  1080.(Estimated)
(NEI)  Estimated annual increase of observations in data  base: 21600.
(INF)  Data base includes: Reference data/citations
(NTS)  Total number of stations or sources  covered  In data bases 10
    (current )800(projected.)
(NCS)  No, stations or sources currently originating/contributing data:
    10.
(NOF)  Number of facilities  covered in data base (source  monitoring):  10
    (current )800 (projected.)
(GEQ)  Geographic coverage of data base: Selected federal region Region
    VII
(LOG)  Data elements identifying location of station or source include:
    State ;County /City ;street address Coordinates Latitude and
    longitude
(FAC)  Data elements identifying facility Include:  Plant  facility name
    ;Plant location ;Street  address ;SIC code >  Dun Bradstreet
    ;NPDES:  Hill change to  Duns number
(CD£)  Pollutant identification data are: Uncoded
(LIM)  Limitation/variation  in data of which user should  be  aware:  Case
    by case variation in parameters
(DPR)  Data collect./anal, procedures  conform to ORD guidelines: Analysi
    s method documented
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(PRE)  Precision: Precision  and accuracy estimates  exist  but  are not
    included In data base    Edit during review of  application and  in
    development of permit*


                             1186

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                             Accession No.   9075000901      (cont)

(CBY)  Data collected by:  Self reporting ;Contractor lab Cor
    dischargers
(ABY)  Data analyzed by:  State agency Environmental Quality Agencies
    Regional office Surveillance and Analysis Division/  Region VII.
    Contractor lab for dischargers
UDL)  Laboratory Identification:  NO
(AUT)  Authorization for  data collection; Statutory authorization  is P
    L 92-500 as amended/  Section 402 (Clean Water  Act-CUA)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    158-R-0173
(REP)  Form of available  reports and outputs of data base:  Printouts on
    request
(NOS)  Number of regular  users of data base; 10
(USR)  Current regular users of data base:  EPA headquarter  offices
    Office of Hater Enforcement
    EPA regional offices
    EPA laboratories
    States
(CNF)  Confidentiality of data and limits on access: Limits on outside
    access for some data
(DLC)  Primary physical location of data: State agency
(DST)  Form of data storage: Original form  (hardcopy, readings)
(DAC)  Type of data access: Manually
(CHG)  Direct charge for  non-EPA use: yes
(OPDT)  Frequency of data base master file  up-date: Other on  as need
    basis-when additional information available
(RSS)  Related EPA autonated systems which  use data base: STORET
    (Storage and Retrieval of water  Quality Data):  Retail Compliance
    System (PCS)
(RDBSPA)  Related EPA data bases used in conjunction with this data  base
    other consolidated peroit programs:     Resource Conservation  and
    Recovery Act (RCRA),  Underground  Injection Control  (UIC), Point
    Source Discharges (PSD).
(CMP)  Completion of form:
    Carl V. Blomgren
    DFC: EPA/Region Vll/Water Management Division
    AD: 324 E. llth St. Kansas City/ MO 64106
    PH: (816) 374-2281
(DF)  Date of form completion: 01-14-83
(NMAT)  Number of substances represented in data base:  143
(NCAS)  Number of CAS registry numbers in data base: 131
(MAT)  Substances represented in data base:
    l,l/l-trichloroethane<71-55-         l/2-dlchloropropane<78-87-5>
       6>                                l,2-dichloropropylene<563-54-2>
    1,1,2,2,-tetrachloroethane           l,2-diphenylhydrazine<122-66-7>
       <79-34-5>                         1,2-trans-dichloroethylene
    lfl,2-trlchloroethane<79-00-5>          <156-€0-5>
    Ifl-dichloroethane<75-34-3>          l,3-dichlorobenzene<541-73-l>
    l,l-dichloroethylene<75-35-4>        l/4-dichlorobenzene<106-46-7>
    l/2,4*-trlchlorobenzene<120-82-l>    2/4,6~trichlorophenol<88-06-2>
    If2-dichlorobenzene<95-50-l>         2/4/7,8-tetrachlorodibenzo-p-
    l/2-dichloroethane<107-06-2>            dloxln (tcdd)


                             1187

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                         Accession No.  9075000901
                  (cont)
2, 4-dichlorophenol<120-83-2>
It 4-dimethylphenol<105-67-9>
It 4-dinitrophenol<51-28-5>
2, 4-dinitrotoluene<121-l 4-2>
2,6-dinitrotoluene<606-20-2>
2-chloroethylvinyi ether <110-75-8>
2-chloronaphthalene<91-58-7>
2~chlorophenol<95-57^8>
2-nitrophenol<88-75-5>
3, 3 '-dichl orobenzidine<91-94-l>
3,4-benzofluoranthene<205-99-2>
4,4--ddd(p,p'tde)
4, 4 '-dde (p,p '-ddx)<72-55-9>
4,4--ddt<50-29-3>
4/6-dinitro-o-cresol<534-52-l>
4-bromophenyl phenyl ether
   < 101 -55-3 >
4~chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
acenaphthene<83-32-9>
acen^hthylene<208-96-8>
acrolein<107-02-8>
acrylonitrlle<107-13-l>
aldrln<309-00-2>
amfflonla<7664-41-7>
anthracene
antlmony<7440-36-0>
arsenic<7440-38-2>
asb«stos<1332-21-4>
benzene< 71 -43-2>
ben2ldlne<92-87-5>
benzo(a)anthracene<56-55-3>
b«nTo(a)pyrene<50-32-8>
benzo(g,h,i)perylene<191-24-2>
benzo(k) f luoranthene<207-08-9>
beryllIum<7440-4l-7>
bhc Clindane)-gani!na<58-89-g>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
bls(2-chloroethoxy)raethane
bis(2-chloroethyl)ether
bis(2-chloroisopropyl) ether
   <39638-32-9>
bls(2-ethylhexyl)phthalate
bis(chloroinethyl)ether<542-88-l>
bromoraethane<74-83-9>
butyl benzyl phthalate<85-68-7>
cadffiium<7440-43-9>
carbon tetrachlorlde<56-23-5>
chlordane<57-74-9>
chlorobenzene<108-90-7>
chlorodibromoroethane<124-48-l>
chloroethane<75-00-3>
chloroform<67-66-3>
chloromethane<74-87-3>
chroniuffl<7440-47-3>
chrysene<218-01-9>
copper<7440-50-8>
cyanide<57-12-5>
di-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-r84-0>
dibenzo(a,h)anthracene<53-70-3>
dlchlorobromoraethane<75-27-4>
dichlorodifluororaethane<75-71-8>
dlchloronethane<75-09-2>
dleldrln<60-57-l>
diethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
dissolved solids
endosulfan sulfate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylbenzene<100-41-4>
fecal coliform
fluoranthene<206-44-0>
fluorene<86-73-7>
fluorides
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene<118-7 4-l>
hexachlorobutadiene<87-68-3>
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
indeno (l,2/3-cd)pyrene<193-39-5>
iron and compounds<7439-89-6>
isophorone<78-59-l>
lead<7439-92-l>
nercury<7439-97-6>
n-nltrosodl-n-propylamine
   <621-64-7>
n-nitrosodimethylaniine<62-75-9>
n-nitrosodiphenylaalne<86-30-6>
naphthalene<91-20-3>
nickel<7440-02-0>
nitrates/nitrites
nitrobenzene<98-95-3>
nitrogen<7727*37-9>
oil and grease
                         1188

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                             Accession Ho.   9075000901     (cont)

    oxygen demand                        phenanthrene<85-01-8>
    p-chloro-ra-cresol<59-50-7>           phenol<108-95-2>
    pH                                   phosphorus<7723-14-0>
    pcb-1016 (arochlor 1016)             pyrene<129-00-0>
       <12674-ll-2>                      seleniura<7782-49-2>
    pcb-1221 (arochlor 1221)             silver<7440-22-4>
       <11104-28-2>                      sulfates
    pcb-1232 {arochlor 1232)             sulfides
       <11141-16-5>                      suspended solids
    pcb-1242 (arochlor 1242)             tetrachloroethylene<127~18-4>
       <53469-21-9>                      thallium<7440-28-0>
    pcb-1248 (arochlor 1248)             toluene<108-88-3>
       <12672-29-6>                      toxaphene<8001-35~2>
    pcb-1254 (arochlor 1254)             tribro«onethane<75-25-2>
       <11097-69-l>                      trlchloroethylene<79-01-6>
    pcb-1260 (arochlor 1260)             trichlorofluoromethaneC75-69-4>
       <11096-82-5>                      vinyl chloride<75-01-4>
    pentachlorophenol<87*86-5>           zlnc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data base: 71-55-6
    ; 79-34-5; 79-00-5; 75-34-3; 75-35-4;       120-82-1; 95-50-1;
    107-06-2; 78-87-5; 563-54-2; 122-66-7;  156-60-5;   541-73-1;
    106-46-7; 88-06-2; 120-83-2; 105-67-9;  51-28-5; 121-14-2;
    606-20-2; 110-75-8; 91-58-7; 95-57^8; 88-75-5; 91-94-1; 205-99-2;
    72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7; 83-32-9;
    208-96-8; 107-02-8; 107-13-1; 309-00-2; 7664-41-7; 120-12-7;
    7440-36-0; 7440-38-2; 1332-21-4; 71-43-2; 92-87^5; 56-55-3;
    50-32-8;       191-24-2; 207-08-9; 7440-41-7; 58-89-9; 319-84-6;
    319-85-7; 319-86-8;      111-91-1; 111-44-4; 39638-32-9; 117-81-7;
    542-88-1; 74-83-9; 85-68-7;      7440-43-9; 56-23-5; 57-74-9;
    108-90-7; 124-48-1; 75-00-3; 67-66-3;    74-87-3; 7440-47-3;
    218-01-9; 7440-50-8; 57-12-5; 84-74-2;  117-84-0;       53-70-3;
    75-27-4? 75-71-8; 75-09-2; 60-57-1; 84-66-2; 131-11-3;
    1031-07-8; 959-98-8; 33213-65-9; 7421-93-4; 72-20-8; 100-41-4?
    206-44-0; 86-73-7; 1024-57-3; 76-44-8;  118-74-1; 87-68-3; 77^47-4;
    67-72-1; 193-39-5; 7439-89-6; 78-59-1;  7439-92-1; 7439-97-6;
    621-64-7; 62-75-9; 86-30-6; 91-20-3; 7440-02-0; 98-95-3; 7727-37-9;
    59-50-7; 12674-11-2; 11104-28-2; 11141-16-5; 53469-21-9;
    12672-29-6;       11097-69-1; 11096-82-5; 87-86-5; 85-01-8;
    108-95-2; 7723-14-0;   129-00-0; 7782-49-2; 7440-22-4; 127-18-4;
    7440-28-0; 108-88-3;   8001-35-2; 75-25-2; 79-01-6; 75-69-4;
    75-01-4; 7440-66-6
(CHM)  Contact name(s): Blomgren,C.V.; Hirth,P.; Bloragrea,C.V.
(ROR)  Responsible Organization; Region VII.Water Management Division.
                             1189

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                             Accession Ho.   9075000902

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model; National Pollutant Discharge
    Elimination System (NPDES)  Discharge Monitoring Reports
(ACR)  Acronym of Data Base  or  Model:  None
(MED)  Hedia/Subject of Data Base or Model: Effluents National
    Pollutant Discharge Elimination System  (NPDES)  permittees
(ABS)  Abstract/Overview of  Data Base or Model:  Manually maintained
    file of discharge monitoring  reports submitted by  designated major
    dischargers in Region VII.
(CTC)  CONTACTS: Subject matter Ron McCutcheon (816)374-22811 EPA
    Office Region VII, Water Management Division C816)374-2281
(DTP)  Type of data collection  or monitoring:  Point source  data
    collection National Pollutant Discharge Elimination  System  (NPDES)
    permittees
(STA)  Data Base status; Discontinued
(6RP)  Groups of substances  represented in  Data Base: 11 conventional
    water ;41 CfoA potential  criteria ;15 metals
(NPP)  Non-pollutant parameters included in the data base:  Collection
    method Concentration measures ;Flow rates ;Sampling date ;
    Test/analysis method
(DS)  Time period covered by data base: 01-01-74 TO 09-30-81
(TRM)  Termination of data collections Has  Occurred 09-30-81
(FRQ)  Frequency of data collection or sampling: daily  jtfeekly /monthly
    /quarterly ; semi annually /annually
(NOB)  Number of observations in data base: 175000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: 0.
(IMF)  Data base includes: Raw  data/observations >Summary aggregate
    observations
(NTS)  Total number of stations or sources  covered in data  base:  400.
(NCS)  So, stations or sources  currently originating/contributing data:
    0.
(NGF)  Number of facilities  covered in data base (source monitoring): 40
    0.
(GEO)  Geographic coverage of data base: Selected federal region  Region
    VII
(LOG)  Data elements identifying location of station or source include:
    State
(FAC)  Data elements identifying facility includes  Plant facility name
    ;NPDES
(CDE)  Pollutant identification data are: Uncoded
(LIN)  Limitation/variation  in  data of which user should be awaret Data
    varies as to sampling frequency/   pollutants covered/  and sampling
    technique depending   on National Pollutant Discharge Elimination
    System     (HJPDES) permit.
(DpR)  Data collect./anal, procedures conform to GRD guidelines:  Collect
    ion method documented /Analysis method  documented
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(PRE)  Precision: Precision  and accuracy estimates are  not  available
(EDT)  Editting: NO known edit  procedures exist.
(CBV)  Data collected by: Self  reporting
(ABY)  Data analyzed by: Self reporting
(IDL)  Laboratory identification: NO


                             1190

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                             Accession Mo.   9075000902      (cont)

(P81)  Primary purpose of data collection:  Compliance or enforcement
(AUT)  Authorization for data collection:  Statutory authorization  Is  P
    L 92-500 as amended, Section 402 (Clean Hater  Act-CHA)
(OMB)  Data collected/submitted using QMS-approved EPA  reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base:  data
    available to copy
(NUS)  Number of regular users of data base: 1  office
(USR)  Current regular users of data base:  EPA  regional offices
(CNF)  Confidentiality of data and limits  on access: No limits  on
    access to data
(DLC)  Primary physical location of data:  Regional office
(DST)  form of data storage: Original form (hardcopy, readings)
(DAC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: No
(UPDT)  Frequency of data base master file up-date: None
(RDBEPA)  Related EPA data bases used in conjunction with this  data base
    Permit Compliance System (PCS)
(CMP)  Completion of forms
    Donald Toensing
    OFC: EPA/Region Vll/ifater Management Division
    AD: 324 E. llth St. Kansas City/ Mo. 64106
    PH: 816-374-2281
(DF)  Date of form completion: 01-10-83
(NMAT)  Number of substances represented in data base:  63
(NCAS)  Number of CAS registry numbers in  data  base: 42
(HA?)  Substances represented in data base:
    2,4,5-trichlorophenoxypropio        dissolved solids
       nic acid (TP)<93-72-l>           fecal  coliform
    2,4-d acid<94-75»7>                 fluorides
    acetone<67-64-l>                    guthion<86-50-0>
    acidity                             iron and compounds<7439-89-6>
    alkalinity                          iron<7439-89-6>
    aluminum<7429-90-5>                 kepone<143-50-0>
    ammonia<7664-41-7>                  lead<7439-92-l>
    arsenic<7440-38-2>                  lithium and compounds<7439-93~2>
    barium<7440-39-3>                   malathion<121-75-5>
    berylliura<7440-41-7>                manganese<7439-96-5>
    biphenyl<92-52-4>                   mercury<7439-97-6>
    bismuth compounds<7440-69-9>        methoxychlor<72-43~5>
    boron compounds<7440-42-8>          methyl ethyl ketone (mek)<78-93-3>
    bronine<7726-95-6>                  mirex<2385-85-5>
    cadmium<7440-43-9>                  molybdenum and compounds
    chlorine<7782-50-5>                     <7439-98-7>
    chromium<7440-47-3>                 n-alkanes clO-c30
    cobalt<7440-48-4>                   nickel<7440-02-0>
    copper<7440-50-8>                   nitrates/nitrites
    demeton<8065-48-3>                  nitriloacetates
    dialkyl ethers                      nitrogen<7727-37-9>
    dibenzofuran<132-64-9>              oil and grease
    diphenyl ether<101-84-8>            oxygen demand
    dissolved oxygen                    pH


                             1191

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                             Accession No.   9075000902     (cont)

    parathion<56-38-2>                   styrene<100-42-5>
    phosphorus and compounds             sulfates
       <7723-14-0>                       sulfides
    phosphorus<7723-l4-0>                suspended solids
    polybrominated biphenyls (PBBs)      terpenes
    secondary amines                     tltanium<7440-32-6>
    selenium<7782-49-2>                  uraniun;<7440-61-l>
    sodium and compounds<7440-23-5>      vanadium<7440-62-2>
(CAS)  CAS registry numbers of substances Included in data base:  93-72-1
    ; 94-75-7; 67-64-1; 7429-90-5;    7664-41-7; 7440-38-2; 7440-39-3;
    7440-41-7; 92-52-4; 7440-69-9;       7440-42-8; 7726-95-6;
    7440-43-9; 7782-50-5; 7440-47-3; 7440-48-4;     7440-50-8;
    8065-48-3; 132-64-9; 101-84-8; 86-50-0; 7439-89-6;    7439-89-6;
    143-50-0; 7439-92-1; 7439-93-2; 121-75-5; 7439-96-5;
    7439-97-6; 72-43-5; 78-93-3; 2385-85-5; 7439-98-7; 7440-02-0;
    7727-37-9; 56-38-2; 7723-14-0; 7723-14-0; 7782-49-2; 7440-23-5;
    100-42-5; 7440-32-6; 7440-61-1; 7440-62-2
(CNM)  Contact name(s): McCutcheon,R.
(COR)  Contact organization: Region VII, Hater Wanageaent Division
(ROR)  Responsible Organization: Region VII.Hater Management Division*
                             1192

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                             Accession No.   9075000903

(DQ)  Date of Questionalre:  12-02-82
(NAM)  Name of Data Base of  Model;  Quarterly Excess Emission Reports
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model:  Air ^Emissions   stationary
    source
(ABS)  Abstract/Overview of  Data Base or Model: Various categories  of
    new sources are subject      to requirements of reporting and record
    keeping (40 CFR
    60.7) related to continuous emission monitoring
    equipment measuring any  one or a combination of  nitrogen oxides,
    opacity^ sulfur dioxide  and particulates.  Opacity  is measured  in
    percent and the  other emissions in Ibs/hr or gr/scf or flos/mmBTU.
(CTC)  CONTACTS: Subject matter   A.P, Wayne  (816)374-2576  ;     EPA
    Office  A.P. Wayne  (816)
(DTP)  Type of data collection or monitoring: Point source  data
    collection Mew Source Performance Standards sources  required to
    have continuous emission monitors
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in  Data Base: 7 criteria NAAQS
(NPP)  Non-pollutant parameters included in the data base:  Collection
    method Concentration measures /Flow rates ;Industry '/  Production
    levels ;Sampling date ;Treatment devices /compliance data (all
    excesses)
(DS)  Time period covered by data bases 12-01-75 to 01-30-83 ongoing
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: quarterly
(NOB)  Number of observations in data base:  8000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: 1800.
(IMF)  Data base includes: Ran data/observations ;Summary aggregate
    observations
(NTS)  Total number of stations or sources  covered in data  base: 25.
(NCS)  Bo. stations or sources currently originating/contributing data:
    12.
(NQF)  Number of facilities  covered in data base (source monitoring): 21
    *
(GEO)  Geographic coverage of data base: Selected federal region Region
    VII
(LQC)  Data elements identifying location of station or source include:
    State ;County ;City ?Street address
(FAC)  Data elements identifying facility include: Plant facility name
    ; PI ant location ; Street  address
(CDE)  Pollutant identification data are: Other coding  scheme
    Compliance Data System
(LIM)  Limitation/variation in data of which user should be aware:  Does
    not provide information other than source emissions over allowable
    limits
(DPR)  Data collect./anal, procedures conform to ORD guidelines: ORD
    Guidelines
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(ADD)  Lab Audit: Lab audit  is satisfactory for 50%.
(PRE)  Precision: Precision  and accuracy estimates exist but are not
    included in data base


                             1193

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                             Accession No.   9075000903      (cont)

(EOT)  Editting:  Edit procedures used and documented.
(CBY)  Data collected by: Self reporting ^Regional  office  Overview
    inspections by Environmental Services Division/ Region VII  ;EPA
    headquarters  Stationary   Source Compliance Division >Contractor
    ;State.
CABY)  Data analyzed by:  Regional office Air & Haste Management
    Division/

    Region VII#    EPA headquarters Stationary Source Compliance
    Division
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Continuous compliance  or
    enforcement
(AUT)  Authorization for  data collection: Statutory authorization  is  P
    L 88-206 as amended,  Section 114 (40 CFR  60.7) (Clean Air  Act-CAA)
(OMB)  Data collected/submitted using OMB-approved  EPA reporting  forms?
    No
(REP)  Form of available  reports and outputs of data base:  Unpublished
    reports Quarterly excess emission report
(NUS)  number of  regular  users of data base: 4 offices
(USR)  Current regular users of data base:  EPA headquarter offices
    Stationary Source    Compliance Division.!     Stationary Source
    Compliance Division contractors ;Region Til
(CNF)  Confidentiality of data and limits on access: No limits  on
    access to data
(DLC)  Primary physical location of data: Regional  office
(DST)  Form of data storage: Original form  (hardcopy,  readings)
(DAC)  Type of data access: Manually & Automated
(CHG)  Direct charge for  non-EPA use: yes
(UPDf)  Frequency of data base master file  up-date: Quarterly
(RDB5PA)  Related EPA data bases used In conjunction with  this  data base
    Compliance Data System
(ODB)  Other pertinent non-EPA data bases:  Missouri excess emission
    reporting; Nebraska excess emission reporting;  Iowa excess  emission
  •  reporting
(CMP)  Completion of form:
    A.P. Wayne
    OFC: EPA/Region VII/Air & Haste Management Division
    AD: 324 E, llth St. Kansas City, Mo.
    PH: (816)374-2576
(DF)  Date of form completion: 01r20-83
(NMAT)  Number of substances represented in data base:  5
(NCAS)  Number of CAS registry numbers in data base: 2
(MAT)  Substances represented in data base:
    hydrocarbons                          sulfur dioxide<7446-09-5>
    nitrogen dioxide<10102-44-0>         total suspended particulates
    opacity
(CAS)  CAS registry numbers of substances included  in data base:  10102-4
    4-0; 7446-09-5
(CNM)  Contact name(s): Wayne/A.P.;    Wayne/A.P.
(RQR)  Responsible Organizations Region VII.Water Management Division.
                             1194

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                             Accession  Ho.   9078000902

(DQ)  Date of Questionalre:  12-02-82
(NAN)  Name of Data Base of  Model:  Publicly Owned  Treatment  Works
    (POTW) Quality  Control
(ACR)  Acronym of Data Base  or Model! Rone
(MED)  Media/Subject of Data Base or Model!  Effluents Publicly Owned
    Treatment Works
CABS)  Abstract/Overview of  Data Base or Model!  All  quality  control
    data from EPA and   contractor laboratories  for  the  national
    Publicly Owned Treatment Works (POTW) study*   Data  is not In    any
    computer-readable form*
(CTC)  CONTACTS! Subject matter   Billy Pairless  (816)374-4461    ;
    EPA Office  Region VII
(DTP)  Type of data collection or monitoring:  Point  source data
    collection Publicly Ouned Treatment Works
(STA)  Data Base status: Operational/ongoing'
(GRP)  Groups of substances  represented In  Data  Base! 129 307 CNA  ;15
    metals
(NPP)  Non-pollutant parameters included in the  data base: Chemical
    data Collection method  >Compllance data Concentration  measures ;
    Discharge points ;Disposal jFlow  rates  ;Geographic  subdivision ;
    Inspection data ;Location ^Physical data ;Sallnlty  ;Sampling date )
    Site description ;Temperature /Test/analysis method
(DS)  Time period covered by data base: 08-01-78 TO  09-30-80
(TRM)  Termination of data collection:  Anticipated 12/30/80
(FRO)  Frequency of data collection or  sampling: one time only
(NOB)  Number of observations In data base:  180000.(Estimated)
(NEI)  Estimated annual increase of observations in  data base: 18000.
(INF)  Data base includes: Ran data/observations
(NTS)  Total number of stations or sources  covered in data base: 200.
(NCS)  No. stations or sources currently originating/contributing  data!
    4.
(NQF)  Number of facilities  covered in  data base (source monitoring): 40
    .                                     •
(GEO)  Geographic coverage of data base: National
(LOG)  Data elements identifying location of station or  source Include:
    State ;County ;SMSA ;Clty ;Town/township /street address
    Coordinates Latitude a  Project identifier
(FAC)  Data elements Identifying facility Include: Plant facility  name
    jPlant location ;Street  address ;SIC code  >    SCC jNPDES
(CDE)  Pollutant identification data  are: Oncoded
(LIM)  Limitation/variation  in data of  which user  should be  aware: None
(DPR)  Data collect./anal, procedures conform  to ORD guidelines: ORD
    Guidelines ;Sampling plan documented ;Collection method  documented
    ;    Analysis method documented ;QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Lab audit  Is satisfactory.
(PRE)  Precision: Precision  and accuracy estimates exist for all
    measurements
(EDT)  Editting: Edit procedures used and documented.
(CBY)  Data collected by; Contractor  lab various ^Contractor Burns and
    Roue
(A8Y)  Data analyzed by: Regional office Surveillance and Analysis


                             1195

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                             Accession No.   9078000902     (cont)

    Division, Region VII

       6>                                l,2-dichloroethane<107-06-2>
    1,1,2,2,-tetrachloroethane           l,2-dichloropropane<78-87-5>
       <79-34-5>                         l,2-dichloropropylene<563-54-2>
    l,l/2-trichloroethane<79-00-5>       l,2-diphenylhydrazlne<122-66-7>
    l,l-dichloroethane<75-34-3>          1,2-trans-dichloroethylene
    l,l-dichloroethylene<75-35-4>           <156-60-5>
    l,2,4,-trichlorobenzene<120-82-l>    l,3-dlchlorobenzene<541-73-l>


                             1196

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                         Accession No.  9078000902
                  (cont)
If 4-dichlorobenzene<106-46-7>
2, 4,6-trichlorophenol<88-06-2>
2/4/7*8-tetrachlorodibenzo-p-
   cioxin (tcdd)
2,4-dichlorophenol<120-83-2>
2, 4-diraethylphenol<105-67*9>
2,4-dinitrophenol<51-28-5>
2/4-dinitrotoluene<121-14-2>
2,6-dinitrotoluene<606-20-2>
2-chloroethylvlnyl ether<110~75-8>
2-chloronaphthalene<91-58-7>
2-chlorophenol<95-57-8>
2-nitrophenol<88-75-5>
3,3''-dichlorobenzidine<91-94-l>
3, 4-benzof luoranthene< 205-99-2>
4,4'-ddd
4/4--ddt<50-29-3>
4,6-dinitro-o-cresol<534-52-l>
4-bromophenyl phenyl ether
   <101-55-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nitrophenol<100-02-7>
acenaphthene< 83-32-9>
acenaphthylene<208-96-8>
acrclein<107-02-8>
acrylonitrile<107-13-l>
aldrin<309-00-2>
aluminum<7429-90-5>
amraonia<7664-41-7>
anthracene<120-12-7>
antiraony<7440-36-0>
arsenic<7440-38-2>
asbestos<1332-21-4>
barlu«<7440-39-3>
benzene<71-43-2>
benzidine<92-87-5>
benzo( a) an thracene<56-55-3>
benzo(a)pyrene<50-32-8>
benzo( g, h, i) pery lene
benzo(k)fluoranthene<207-08-9>
berylliura<7440-41-7>
bhc 
bhc-alpha<31 9-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
biological oxygen demand (BOD)
bis (2-chloroethoxy)me thane
bis(2-chloroisopropyl)ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bisC2-chloroethyl)ether
bis(chloromethyl)ether<542-88-l>
bromo»ethan«<74-83-9>
butyl benzyl phthalate<85-68-7>
cadmiu«a<7440-43-9>
calcium
carbon tetrachloride<56-23-S>
chemical oxygen demand (COD)
chlordane<57-74-9>
chlorobenzene<108-90-7>
chlorodibroanoraethane<124-48-l>
chloroethane<75-00-3>
chloroform<67-66-3>
chloromethane<74-87-3>
chroBiuns<7440-47-3>
chrysene<218-01-9>
copper<7440-50-8>
cyanide<57-12-5>
dl-n-butyl phthalate<84-74-2>
di-n-octyl phthalate<117-84-0>
dibenzo(a,h)anthracene<53-70-3>
dichlorobroffloiBethane<75-27-4>
dichlorodifluoroaiethane<75-71-8>
dichloroaethane<75-09-2>
dieldrin<60-57-l>
diethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
dissolved solids
endosulfan sul£ate<1031-07-8>
endosulfan-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endrin aldehyde<7421-93-4>
endrin<72-20-8>
ethylbenzene<100-41-4>
f luoranthene<206-44-0>
fluorene<86-73-7>
heptachlor epoxide<1024-57-3>
hep tachlor<76-44-8>
hexachiorobenzene< 118-7 4-l>
hex achlorobutadiene<87-6 8-3 >
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67-72-l>
indeno (l,2,3-cd)pyrene<193-39-5>
iron<7439-89-6>
isophorone<78-59-l>
lead<7439-92-l>
magnesiun
raanganese<7439~96-5>
mercury<7439-97-6>
                         1197

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                             Accession No.   9078000902     (cent)

    n-nltrosodi-n-propylaraine            pentachlorophenol<87-86-5>
       <621-64-7>                        phenanthrene<85-01-8>
    n-nitrosodimethylaraine<62-75-9>      phenol<108-95-2>
    n-nItrosodiphenylaraine<86-30-6>      pyrene<129-OQ-0>
    naphthalene<91-20-3>                 selenium<7782-49-2>
    nickel<7440-02-0>                    silver<7440-22-4>
    ni trobenzene<98-95-3>                sodium<7440-23-5>
    nitrogen<7727-37-9>                  suspended solids
    oil and grease                       tetrachloroethylene<127-18-4>
    p~cliloro-ra~cresol<59-50-7>           thaliiUffl<7440-28-0>
    pcb-1016 (arochlor 1016)             toluene<108-88-3>
       <12674-ll-2>                      total organic carbon (TOO
    pcb-1221 (arochlor 1221)             total phenol
       <11104-28-2>                      total solids
    pcb-1232 (arochlor 1232)             total volatile dissolved solids
       <11141-16-5>                      total volatile solids
    pcb-1242 (arochlor 1242)             total volatile suspended solids
       <53469-21-9>                      toxaphene<8001-35-2>
    pcb-1248 (arochlor 1248)             tribronoiBethane<75-25-2>
       <12672-29-6>                      trichloroethylene<79-01-6>
    pcb-1254 (arochlor 1254)             trichlorofluororaethane<75-69-4>
       <11097-69-l>                      vinyl chloride<75*01-4>
    pcb-1260 (arochlor 1260)             zinc<7440-66-6>
       <11096-82-5>
(CAS)  CAS registry numbers of substances Included in data base: 71-55-6
    ', 79-34-S/  79-00-5? 75-34-3; 75-35-4;       120-82-1; 95-50-1;
    107-06-2; 78-87-5; 563-54-2; 122-66-7;  156-60-5;   541-73-1;
    106-46-7; 88-06-2; 120-83-2; 105-67-9;  51-28-5; 121-14-2;
    606-20-2; 110-75-8; 91-58-7; 95-57-8; 88-75-5; 91-94-1; 205-99-2;
    72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7; 83-32-9;
    208-96-8; 107-02-8; 107-13-1; 309-00-2; 7429-90-5; 7664-41-7;
    120-12-7; 7440-36-0; 7440-38-2; 1332-21-4; 7440-39-3; 71-43-2;
    92-87-5; 56-55-3; 50-32-8; 191-24-2; 207-08-9; 7440-41-7; 58-89-9;
    319-84-6; 319-85-7; 319-86-8; 111-91-1; 111-44-4; 39638-32-9;
    117-81-7; 542-88-1; 74-83-9; 85-68-7; 7440-43-9; 56-23-5; 57-74-9;
    108-90-7; 124-48-1; 75-00-3; 67-66-3; 74-87-3; 7440-47-3; 218-01-9;
    7440-50-8;  57-12-5; 84-74-2; 117-84-0;  53-70-3; 75-27-4; 75-71-8;
    75-09-2; 60-57-1; 84-66-2; 131-11-3; 1031-07-8; 959-98-8;
    33213-65-9?      7421-93-4? 72-20-8; 100-41-4; 206-44-0; 86-73-7;
    1024-57-3;  76-44-8;       118-74-1; 87-68-3; 77-47M? 67-72-1;
    193-39-5; 7439-89-6; 78-59-1;    7439-92-1; 7439-96-5; 7439-97-6;
    621-64-7; 62-75-9; 86-30-6; 91-20-3;      7440-02-0; 98-95-3;
    7727-37-9;  59-50-7; 12674-11-2; 11104-28-2;       11141-16-5;
    53469-21-9; 12672-29-6; 11097-69-1; 11096-82-5; 87-86-5;
    85-01-8; 108-95-2; 129-00-0; 7782-49-2; 7440-22-4; 7440-23-5;
    127-18-4; 7440-23-0; 108-88-3; 8001-35-2; 75-25-2; 79-01-6;
    75-69-4;       75-01-4; 7440-66-6

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                             Accession No.   9085000901

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  TRACK
(ACR)  Acronym of Data Base  or Model:  TRACK
(MED)  Media/Subject of Data Base or Model: Effluents Hater-National
    Pollutant Discharge Elimination System  Permits
(ABS)  Abstract/Overview of  Data Base  or Model:  The system  handles  the
    tracking of National Pollutant  Discharge Elimination System
    (NPDES) applicants.  The system     is  an automated data  system
    that is a permit tracking  system.
CCTC)  CONTACTS: Subject matter   Pauline Afshar  (303) 837-4901  |
    Computer-related  Carl W
(DTP)  Type of data collection or monitoring:  Point source  data
    collection industrial and municipal
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances  represented in  Data  Base: 11 conventional
    water ;15 metals
(SPP)  Non-pollutant parameters Included in the  data base:  Discharge
    points ^Location
CDS)  Time period covered by data bases 01-01-72 10 12-31-82
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: daily  jueekly >Qther
    as applications are received
(NOB)  Humber of observations in data  base: 5000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: 100*
(INF)  Data base Includes: Reference data/citations
(NTS)  Total number of stations or sources  covered  in data  base:  3000-50
    00.
(NCS)  No. stations or sources currently originating/contributing datas
    1 (time per facility*)
(NOF)  Number of facilities  covered in data base (source monitoring): 30
    00.
(GEO)  Geographic coverage of data base: Selected federal region  Region
    VIII
(LOC)  Data elements identifying location of station or source include:
    State ;County jCity ;Town/township ^Street address
(FAC)  Data elements identifying facility include:  Plant facility name
    ;Plant location \?Parent  corp name  ^Parent corg  location j    Street
    address ;SIC code jSPDES

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                             Accession No.   9085000901      (cont)

                   beryllium, total
    cadnium<7440-43-9>                   beta, total
    copper<7440-50-8>                    bod^ 5-day
    dissolved oxygen                     boron, total
    dissolved solids                     calcium, total
    fecal coliform                       carbon, total  organic
    lead<7439-92-l>                      chem. oxygen demand
    mercury<7439-97-6>                   chloride
    nitrogen<7727-37-9>                  chlorine, total
    oil and grease                       chlorine, free
    oxygen demand                        chromium cr, diss
    pH                                   chromium, hex-val
    phosphorus<7723-14-0>                chromium, total
    suspended solids                     cobalt, total
    zinc<7440-66-6> acidity, total       coliform, fecal
    alkalinity, total                    coliform, total
    aluminum, dissolved                  color (pt-co units)
    aluminum, total                      copper, total
    arsenic, total                       cyanide


                             1200

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                             Accession Ho.  9085000901
                  Ccont)
    cyanide, free
    sid alpha enit radium isotopes
    flouride/ total
    flow in conduit
    flow rate
    flow, stream
    gold, total
    hardness, total
    inflnt susp solids total
    influent bod
    iron, dissolved
    iron, total
    lead, dissolved
    lead, total
    magnesium/ total
    maganese, total
    mercury, total
    methylene blue act.subst
    molybdenum, total
    nickel ni, diss
    nickel, total
    nitrate
    nitrate nitrogen
    nitrite
    nitrite + nitrate
    nitrogen, total
    nitrogen/ influent
    nitrogen/ ammonia tl
    nitrogen, ammonia/ unionized
    nitrogen, amm, total
    nitrogen/ kjeldahl, total oil &
       grease, visual
    oil-grease-total
    oxygen,    dissolved
phenols
phosphate/ total
phosphorus, total
radium 226, diss
radium 226, total
residue, total fixed
selenium/     dissolved
selenium, total
silver/ dissolved
silver, total
sodium/     total
solids/ dissolved
solids, settleable
solids, suspended
solids, total diss
solids, total susp
solids, total volatile
solids, dissolved
specif/ conductance
sulfate
sulfide
sulfide,   dissolved
sulfide/ diss
temperature/ water
temperature/ stream
tin, total
turbidity
turbidity
uranium 238, total
uranium, nat   total
uranium/ total
uranium/ nat diss
vanadium, total
zinc/ total
    PH, field
(CAS)  CAS registry numbers of substances Included in data base: 7440-38
    -2; 7440-43-9; 7440-50-8; 7439-92-1;   7439-97-6; 7727-37-9;
    7723-14-0; 7440-66-6
(CMM)  Contact name(s): AfShar/F. ;    Worster/C.;    Burm/R.J.
(ROE)  Responsible Organization: Region VIII.Mater Management Division.
                             1201

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                             Accession No.   9085000902

(DQ)  Date of Questlonaire: 12-02-82
(STATUS)  Status of entry:  Inactive
(NAM)  Name of Data Base of Model:  Discharge Monitoring Report Files
(ACR)  Acronym of Data Base or Model: DMR's
(MED)  Media/Subject of Data Base or Model: Effluents National
    Pollutant Discharge Elimination Systen  (NPDES)  regulated
(ABS)  Abstract/Overview of Data Base or Model:  This is a manual  data
    base that contains all  self-monitoring  report forms submitted to
    EPA by  permittees to judge compliance  with  the permittees permit
    limitations.
(CTC)  CONTACTS: Subject matter   Douglas M. Skie  (303) 837-4335 ;
    EPA Office  Douglas M.  S
(DTP)  Type of data collection or monitoring: Point source data
    collection industrial and municipal
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances represented in  Data  Base: 11 conventional
    water ;15 metals
(NPP)  lion-pollutant parameters Included in the  data base: Chemical
    data ^Concentration measures ^Discharge points  ;Flow rates ;
    Location ;Sampling date /Temperature iVolume/mass measures
(DS)  Time period covered by data base: 01-01-72 TO 12-31-82
(TRM)  Termination of data  collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: weekly ?monthly
    ;quarterly ;serai annually ;annually
(NOB)  lumber of observations in data base: 30000-40000.(Estimated)
(NEI)  Estimated annual Increase of observations in data base: 5000.
(INF)  Data base includes:  Summary aggregate observations
(NTS)  Total number of stations or sources  covered  in data base:  5000.
(NCS)  No* stations or sources currently originating/contributing data:
    3000.
(NOF)  Number of facilities covered in data base (source monitoring):  30
    00.
(GEO)  Geographic coverage  of data base: Selected federal region  Region
    VIII
(LOC)  Data elements identifying location of station or source include:
    State ;City ;Town/township ;Street address
(FAC)  Data elements identifying facility Include:  Plant facility name
    ;Plant location ^Street address ;SIC code ;    NPDES
(CDE)  Pollutant identification data are: Uhcoded
(LIM)  Limitation/variation in data of which user should be aware: None
(DPR)  Data collect./anal,  procedures conform to GRD guidelines:  Samplin
    g plan documented ^Collection method documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Data not  based on lab analysis.
(PRE)  Precision: Precision and accuracy estimates  are  not available
(EDT)  Emitting: No known edit procedures exist.
(CBY)  Data collected by: Self reporting
(ABY)  Data analyzed by: State agency State labs do the Analysis  for
    permittees
    Regional office Enforcement Division/ Region VIII
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Compliance or enforcement


                             1202

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                             Accession No.   9085000902     (cont)

(PR2)  Secondary purpose of data collection: Program evaluation
(AUT)  Authorization for data collection: Statutory authorization  is F
    L 92-500 as amended. Section 308 (Clean Water  Act-CWA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    3320-01
(REP)  Form of available reports and outputs of data base:  Unpublished
    reports internal reports, violation reports
(NUS)  Number of regular users of data base: 75
(USR)  Current regular users of data base:  States
    Region VIII
(CNF)  Confidentiality of data and Units on access: No Units on
    access to data
(DLC)  Primary physical location of data: Regional office
                   chem. oxygen demand
    cadmiura<7440-43-9>                   chloride
    copper<7440-50-8>                    chlorine, total
    dissolved oxygen                     chlorine, free
    dissolved solids                     chromium cr, diss
    fecal coHform                       chromium, hex-val
    lead<7439-92-l>                      chromium, total
    mercury<7439-97-6>                   cobalt, total
    nitrogen<7727-37-9>                  coliform, fecal
    oil and grease                       coliforn, total
    oxygen demand                        color (pt-co units)
    ph                                   copper, total
    phosphorus<7723-14-0>                cyanide
    suspended solids                     cyanide, free
    zinc<7440-66-6> acidity, total       sld alpha emit radium isotopes
    alkalinity, total                    flouride, total
    aluminum, dissolved                  flow In conduit
    aluminum, total                      flou rate
    arsenic, total                       flow, stream
    barium, dissolved                    gold, total
    barium total                         hardness, total
    beryllium, total                     inflnt SUSP solids total
    beta, total                          influent bod
    bod, 5-day                           Iron, dissolved
    boron, total                         iron, total


                             1203

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                             Accession No.  9085000902     (cont)

    lead/ dissolved                      selenium/     dissolved
    lead/ total                          selenium/ total
    magnesium/ total                     silver/ dissolved
    naganese,  total                      silver/ total
    mercury/  total                       sodium/     total
    methylene blue act.subst             solids/ dissolved
    molybdenum/ total                    solids/ settleable
    nickel ni/diss                       solids/ suspended
    nickel/ total                        solids/ total diss
    nitrate                              solids/ total susp
    nitrate nitrogen                     solids/ total volatile
    nitrite                              solids/ dissolved
    nitrite * nitrate                    specif/ conductance
    nitrogen/  total                      sulfate
    nitrogen/  influent                   sulfide
    nitrogen/  ammonia tl                 sulfide/   dissolved
    nitrogen/  ammonia/ unionized         sulfide/ diss
    nitrogen,  amm, total                 temperature/ uater
    nitrogen/  kjeldahl, total oil &      temperature/ stream
       grease/ visual                    tin/ total
    oil-grease-total                     turbidity
    oxygen/    dissolved                 turbidity
    pH/ field                            uranium 238/ total
    phenols                              uranium/ nat   total
    phosphate/ total                     uranium/ total
    phosphorus/ total                    uranium/ nat diss
    radium 226, diss                     vanadium, total
    radium 226, total                    zinc/ total
    residue/  total fixed
(CAS)  CAS registry numbers of substances included in data base: 7440-38
    -2; 7440-43-9; 7440-50-8; 7439-92-1;   7439-97-6; 7727-37-9;
    7723-14-0; 7440-66-6

-------
                             Accession No.   9095000902

CDQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Discharge Monitoring Report
(ACR)  Acronym of Data Base or Model:  DMR
(MED)  Media/Subject of Data Base or Model:  Effluents discharge froa
    point sources to U.S. waters.
(ABS)  Abstract/Overview of Data Base or Model:  Data base contains
    measurements of pollutant parameters specified by the National
    Pollutant    Discharge Elimination System (MPDES).
(CTC)  CONTACTS: Subject matter   Steve Fuller  (415)974-3306 ;
    Computer-related  Carey Houk  (415)974-8271;  EPA Office Hater
    Management Division  (415)974-8306
(DTP)  Type of data collection or monitoring: Point source data
    collection municipal and industrial
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances represented in Data Base: 11 conventional
    water ;15 metals
(NPP)  Ron-pollutant parameters included in  the data base: Collection
    method Concentration measures ;Discharge points ;      Flow rates
    ^Location ;Preclpltatlon ;Sampling date  ;Temperature
CDS)  Time period covered by data base: 02-01-75 TO present
(TRM)  Termination of data collection: Hot anticipated
(FRQ)  Frequency of data collection or sampling: less than hourly
    continuous sampling (e.g. flow) ;hourly  ;daily ; weekly ;monthly
    ;quarterly ;serai annually ;annually jas  needed
(NOB)  Kumber of observations In data base:  420000*(Estimated)
(NED  Estimated annual increase of observations in data base:  70000.
(INF)  Data base includes: Summary aggregate observations
(NTS)  Total number of stations or sources covered in data base:  2100.
(NCS)  No. stations or sources currently originating/contributing data:
    2100.
(NOF)  Number of facilities covered in data  base (source monitoring):  21
    00.
(GEO)  Geographic coverage of data base: Selected federal region Region
    IX
(LOG)  Data elements identifying location of station or source  include:
    State >City ; Town/township ;Street address ;Coordinates Latitude
    and longitude
(FAC)  Data elements identifying facility Include: Plant facility name
    ;Street address ;SIC code ;NPDES
(CDE)  Pollutant identification data are: Uncoded
(Liw)  Limitation/variation in data of which user should be aware:  Saapl
    ing periods and measurement   parameters vary for each discharger.
    Some parameters  may be permitted zero discharge during certain
    periods.
(DPR)  Data collect./anal, procedures conform to ORD guidelines:  Samplin
    g plan documented ^Collection method documented ^Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods?  YES
(ADD)  Lab Audit: Lab audit Is satisfactory  for majors discharges
    only-high(%).
(PRE)  Precision: Precision and accuracy estimates exist but are not
    included in data base


                             1205

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                             Accession No.   9095000902     (cont)

(EDf)  Edit ting; Edit procedures used and documented.

    alkalinity                           mercury<7439-97-6>
    arsenic<7440-38-2>                   nlckel<7440-02-0>
    cadmium<7440-43-9>                   nitrogen<7727-37-9>
    chromium<7440-47-3>                  oil and grease
    copper<7440-50-8>                    oxygen demand
    dissolved oxygen                     ph
    dissolved solids                     phosphorus<7723-14-0>
    fecal coliform                       seleniura<7782-49-2>
    iron<7439-89-6>                      settleable solids
    lead<7439~92-l>                      suspended solids


                             1206

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                             Accession Ho.   9095000902     (cont)

    titaniura<7440-32-6>                  total coliform
(CAS)  CAS registry numbers of substances included in data bases  7440-38
    -2; 7440-43-9; 7440-47-3; 7440-50-8;   7439-89-6; 7439-92-1;
    7439-96-5; 7439-97-6; 7440-02-0; 7727-37-9;     7723-14-0;
    7782-49-2; 7440-32-6
(CNM)  Contact name(s): Pasek,J.  /    Houk^C.
(COR)  Contact organization: Hater Management Division
(ROK)  Responsible Organization: Region IX.Mater Management Division.
                             1207

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                             Accession Ho*   9096000001

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model;  Baseline Survey of Public Water
    Supplies on  Indian Lands
(ACR)  Acronym of Data Base or Model:  None
(NED)  media/Subject of Data Base or Model: Drinking water
(AfiS)  Abstract/Overview of Data Base  or Model:  Water Quality Files for
    Public Hater    Supplies on Indian Lands in  EPA Region IX contains
    results of analysis performed for  the 21     contaminants covered
    by drinking water  regulations. There  is a  regional computer
    system (Safe Water Information Module-SWIH)  which tracks type of
    analyses performed i.e.  inorganic, organic,  radionuclide,
    bacteriological.  SHIM is an    administrative data base which  does
    not contain   environmental data
(CTC)  CONTACTS: Subject matter   Tom  Berkins  (415)794-8212   ;
    Computer-related  Steven Gross  (415)974-8107 ;  EPA Office Millian
    M, Thurston (415)974-8226
(DTP)  Type of data collection or monitoring: Ambient data collection
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances represented in  Data  Base: 21 drinking water
    standards
(NPP)  Non-pollutant parameters included in the  data base:  Biological
    data jCheraical data ^Collection method  ;Location ;      Sampling
    date ;Site description ;Test/analysis~method  Bact.l j   Sanpler
(DS)  Time period covered by data base: 05-01-78 TO 09-30-83
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: quarterly jOther 3
    years: inorganics and organics jOther 4 years: radiocheasistry Other
    monthly: bacteriological
(NOB)  Number of observations in data  base: 30193.(Estimated)
(NEI)  Estimated annual increase of observations in data base:  2500*
(INF)  Data base includes: Raw data/observations ^Summary aggregate
    observations
(NTS)  Total number of stations or sources  covered in data base: 534.
(NCS)  No. stations or sources currently originating/contributing data!
    454.
(NOF)  Number of facilities covered in data base (source monitoring): 49
    6.
(GEO)  Geographic coverage of data base: Geographic region all
    reservations in California, Arizona, Nevada,     (NH & Utah Navajo
    reservations only)
(LQC)  Data elements identifying location of station or source include:
    State /County ;Clty ;Town/township ;Project  identifier ;system  name
(FAC)  Data elements identifying facility include: Plant facility name
    jPlant location ^Program identifier
(CDE)  Pollutant identification data are: Uhcoded
(LIM)  Limitation/variation in data of which user should be aware:  None
(DPR)  Data collect./anal, procedures  conform to ORD guidelines: Samplin
    g plan documented ^Collection method documented ^Analysis method
    document
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit; Lab audit is satisfactory for  83%, excluding
    radiochemlstry.


                             1208

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                             Accession Ho.   9096000001     (cont)

(PRE)  Precision; Precision and accuracy estimates exist but are not
    included in data base    Edit data base is edited, procedure Is not
    fully documented.
(CBY)  Data collected by: Regional office Region IX ;0ther federal
    agency Bureau of Indian Affairs and Ind Health Service ;Tribal
    Organizations
(AB¥)  Data analyzed by:  Regional office Region IK
    Other federal agency Bureau of Indian Affairs and Indian   Health
    Service
    Tribal Organizations
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Compliance or enforcement
(PR2)  Secondary purpose of data collection:  Program evaluation
(ACJT)  Authorization for data collection: Statutory authorization  is  P
    L 93-523 as amended,  SDHA-Safe  Drinking Mater Act
(QMS)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs of data base: hand vritten
    summaries for each system
(NUS)  Number of regular users of data base:  4 offices
(USR)  Current regular users of data base:  Region IX
    Bureau of Indian Affairs
    Tribal Organizations
    Indian Health Services
    Private water suppliers
{CNF)  Confidentiality of data and limits on access: So limits on
    access to data
(DLC)  Primary physical location of data: Regional office
(DST)  Form of data storage: Original form (hardcopy, readings)
(DAC)  Type of data access: Manually
(CHG)  Direct charge for non-EPA use: no
(UPCT)  Frequency of data base master file up-date: Other On-going
(ROBEPA)  Related EPA data bases used in conjunction with this data base
    Safe Water Information   Module (SWIM)
(CMP)  Completion of form:
    Steven Gross
    OFC: EPA/Region IX/tfater Division
    AD! 215 Fremont St, San Francisco, CA 94105
    PH: (415)974-8107
(DF)  Date of form completion: 12-09-82
(NMAT)  Number of substances represented in data base: 22
(NCAS)  Number of CAS registry numbers in data base: 17
(MAT)  Substances represented in data base:                     •
    2,4-dichlorophenoxyacetic            lindane<58-89-9>
       acid (2,4-d)<94-75-7>             raanaade beta
    arsenic<7440-38-2>                   mercury<7439-97-6>
    barium<7440-39-3>                    methoxychlor<72-43-5>
    cadniuin<7440-43-9>                   microbiology coliforn bacteria
    chromium<7440-47-3>                  nitrate<14797^55-8>
    endrln<72-20-8>                      photon emitters
    gross alpha                          radium 226<13982-63-3>
    lead<7439-92-l>                      radium 228<15262-20-1>


                             1209

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                             Accession No.   9096000001     (cont)

    seleniuo<7782-49-2>                  toxaphene<8001-35-2>
    sllver<7440-22-4>                    turbidity
    silvex<93-72-l>
(CAS)  CAS registry numbers of substances included in data base:  94-75-7
    ; 7440-38-2;  7440-39-3; 7440-43-9;     7440-47-3; 72-20-8;
    7439-92-1;  58-89-9; 7439-97-^6; 72-43-5;      14797-55-8;
    13982-63-3; 15262-20-1; 7782-49-2; 7440-22-4; 93-72-1;    8001-35-2
(CUM)  Contact  nane(s): Gross,S*R. ;    Grosses.R.
(COR)  Contact  organization: William M. Thurston
(ROR)  Responsible Organizations Region IX.Hater Management Division.
                             1210

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                             Accession No.   9098000901

Plant location
(CDE)  Pollutant identification data are: Storet parameter
(LIM)  Limitation/variation in data of which user should be aware:  None
(DPR)  Data collect./anal, procedures conform to ORD guidelines: Collect
    ion method documented /Analysis method documented ;QA procedures
    document
(ANL)  Lab analysis based on EPA-approved or accepted methods?  YES
(PRE)  Precision: Precision and accuracy estimates  exist but  are not
    included in data base
(EDT)  Editting: No known edit procedures exist.
(CBY)  Data collected by: State agency Arizona Dept. of Fish  and Game
    California Dept. of Fish and Game Hawaii State  Dept. of Health
    Nevada Dept. of Fish and     Game Nevada Division of Environmental
    Protection /Regional office Surveillance and Analysis Divislo  Other
    federal agency Bureau of Land Management
(ABY)  Data analyzed by: EPA lab Environmental Monitoring Systems
    Lab-Las Vegas
(IDL)  Laboratory identification: NO


                             1211

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                             Accession No.   9098000901     Ccont)

(PRl)  Primary purpose of data collection:  Risk assessment
(PR2)  Secondary purpose of data collection: Special study
(AUT)  Authorization for data collection: Statutory authorization is P
    L 92-500 as amended, Section 307 (Clean Water  Act)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ                                                    ;
(RSP)  Form of available reports and outputs of data base: Printouts on
    request
    Machine-readable raw data
    On-line computer
(NUS)  Kumber of regular users of data base: unknown-through STQRET
    only
(USR)  Current regular users of data base:  EPA headquarter offices
    Monitoring and Data Support Division, OHWM
    Other federal agencies
    States
    all users cannot be identified
(CMF)  Confidentiality of data and limits on access: No limits on
    access to data
(DLC)  primary physical location of data: NCC/IBH
(DST)  Form of data storage: .Magnetic disc
(DAC)  Type of data access: EPA software ST08ET  MIDS:5303000101 fEPA
    hardware IBM 370
(CHG)  Direct charge for non-EPA use: yes,  but may be waived
COPDf)  Frequency of data base master file  up-date: Meekly
(RSS)  Related EPA automated systems which use data base: STORE?-graphic
    , analytic
(ODB)  Other pertinent non-EPA data bases:
    conducted by AZ, CA, HI, NV; (2)Special Studies by 208 agencies;
    (3)Non-BHMP fixed station;    (4)Monltoring programs operated by
    AZ, CA, GU, HI, NV, U.S. Forest Service, U.S. Water and Power
    Resources    Service, Corps of Engineers, Geological Survey, Soil
    Conservation.
CCMP)  Completion of form:
    William E. Lewis
    updated by David R. Minard,    EPA Region 9, Mater Management
    Division (415) 974-8284 OFC: EPA/Region IX/Surveillance and
    Analysis Division
    AD: 215 Fremont St. San Francisco, CA 94105
    PH: (415)556-7550
(DF)  Date of form completion: 02-15-83
(NMAT)  Number of substances represented in data base: 127
(KCAS)  Number of CAS registry numbers in data base: 126
(MAT)  Substances represented in data base:
    1,l,l-trichloroethane<71-55-         l,2-dlchlorobenzene<95-50~l>
       6>                                l,2-dichloroethane<107-06-2>
    1,1,2,2,-tetrachloroethane           l,2-dichloropropane<78-87-5>
       <79-34-5>                         l,2-dichloropropylene<563-54-2>
    l,l,2-trichloroethane<79-00-5>       l,2-diphenylhydrazine<122-66-7>
    l,l-dichloroethane<75-34-3>          1,2-trans-dlchloroethylene
    l,l-dichloroethylene<75-35-4>           <156-60-5>
    l,2,4,-trichlorobenzene<120-82-l>    l,3-dichlorobenzene<541-73-l>


                             1212

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                         Accession No.  9098000901
                  (cont)
l,4-dlchlorobenzene<106-46-7>
It 4,6- trichlorophenoK 88-0 6-2>
It 4-dichlorophenol<120-83-2>
2, 4-di«ethylphenol<105-67-9>
2, 4-dinitrophenol<51-28-5>
2, 4-dinitrotoluene<121-14-2>
2, 6-dinItrotoluene<606-20-2>
2-chloroethyl vinyl ether<110-75-8>
2-chloronaphthalene<91-58-7>
2-chlorophenol<95-57-8>
2-nitrophenol<88-75-5>
3,3'-dichlorobenzidine<91-94-l>
3, 4-benzof luor an thene< 20 5- 99-2>
4,4*-ddd(p,p'tde)
4,4--dde(p,p'-ddx)<72-55-9>
4,4*-ddt<50-29-3>
4, 6-dinltr o-o-cresol<534-52-l>
4-broraophenyl phenyl ether
   <101-55-3>
4-chlorophenyl phenyl ether
   <7005-72-3>
4-nItropheno 1< 100-02-7>
ac eraphthene< 83- 32-9>
acenaphthylene<208-96-8>
acrolein<107-02-8>
acrylonitrile<107-13-l>
aldrin<309-00-2>
anthracene<120-12-7>
antimony<7440-36-0>
arscnlc<7440-38-2>
benzene<7l-43-2>
benzidine< 92-87- 5>
benzo( a) an thracene<56- S5-3>
benzo(a)pyrene<50-32-8>
benzo(g,h/I)perylene<191-24-2>
benzo(k)fluoranthene< 207-0 8-9>
berylliuro<7440-4l-7>
bhc (lindane)-gararaa<58-89-9>
bhc-alpha<319-84-6>
bhc-beta<319-85-7>
bhc-delta<319-86-8>
bls(2-chloroethoxy) me thane
bis(2-chloroethyl)ether
b ls< 2-chlor o Isopropy 1 ) ether
   <39638-32-9>
bis(2-ethylhexyl)phthalate
bis{chloromethyl)ether<542-88-l>
br Offioai ethane<7 4-83-9>
butyl benzyl phthalate<85-68-7>
cadmiura< 7440-43- 9>
carbon tetrachlorlde<56-23-5>
chlordane<57-74-9>
chlorobenzene<108-90-7>
chlorodibroiBoniethane<124-48-l>
chloroethane<75-00-3>
chloroform<67-66-3>
chloroinethane<74-87-3>
chroiaium<7440-47-3>
chrysene<218-01-9>
copper<7440-50-8>
cyanide<57-12-5>
dl-n-butyl phthalate<84-74-2>
dl-n-octyl phthalate<117-84-0>
dibenzo(a^h)anthracene<53-70-3>
dichlorobronioraethane<75-27-4>
dichlorodifluoromethane<75-71-8>
dlchloronethane<7 5-09-2>
dl«ldrin<60-57-l>
diethyl phthalate<84-66-2>
dimethyl phthalate<131-ll-3>
endosulfan sulfate<1031-07-8>
endosulf an-alpha<959-98-8>
endosulfan-beta<33213-65-9>
endrin aldehyde<742l-93-4>
endrin<72-20-8>
ethylb€nzene<100-41-4>
fluoranthene<206-44-0>
fluorene<86-73-7>
heptachlor epoxide<1024-57-3>
heptachlor<76-44-8>
hexachlorobenzene<118-74-l>
hexachlorobutadlene<87»68-3>
hexachlorocyclopentadiene<77-47-4>
hexachloroethane<67i72-l>
Indeno {1,2,3-cd)pyrene<193-39-5>
isophorone<78-59-l>
lead<7439-92-l>
mercury<7439-97-6>
n-nitrosodl-n-pr«pylamlne
   <621-64-7>
n-nltrosodiraethylanine<62-75-9>
n-nltrosodiphenylaralne<86-30-6>
naphthalene<91-20-3>
nickel<7440-02-0>
nltrobenzene<98-95-3>
p-chloro-m-cresol<59-50-7>
pcb-1016 (arochlor 1016}
   <12674-ll-2>
pcb-1221 (arochlor 1221)
   <11104-28-2>
pcb-1232 (arochlor 1232)
                         1213

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                             Accession No.  9098000901     (cent)

    pcb-1242 (arochlor 1242)             seleniura<7782-49-2>
       <53469-21-9>                      silver<7440-22-4>
    pcb-1248 {arochlor 1248)             tetrachloroethylene<127-18-4>
       <12672-29-6>                      thalltuni<7440-28-0>
    peb-1254 (arochlor 1254)             toluene<108-88-3>
       <11097-69-l>                      toxaphene<8001-35-2>
    pcb-1260 (arochlor 1260)             tribroraon!ethane<75-25-2>
       <11096-82-5>                      trich!oroethylene<79-01-6>
    pentachlorophenol<87-86-5>           trichlorofluoromethane<75-69-4>
    phenanthrene<85-01-8>                vinyl chloride<75-01-4>
    phenol<108-95-2>                     z!nc<7440-66-6>
    pyrene<129-00-0>
(CAS)  CAS registry numbers of substances included in data base: 71-55-6
    ; 79-34-5} 79-00-5; 75-34-3; 75-35-4;       120-82-1; 95-50-1;
    107-06-2; 78-87-5; 563-54-2; 122-66-7; 156-60-5;   541-73-1;
    106-46-7; 88-06-2; 120-83-2; 105-67-9; 51-28-5; 121-14-2;
    606-20-2; 110-75-8; 91-58-7; 95-57-8; 88-75-5; 91-94-1; 205-99-2;
    72-55-9; 50-29-3; 534-52-1; 101-55-3; 7005-72-3; 100-02-7; 83-32-9;
    208-96-8; 107-02-8; 107-13-1; 309-00-2; 120-12-7; 7440-36-0;
    7440-38-2; 71-43-2; 92-87-5; 56-55-3; 50-32-8; 191-24-2; 207-08-9;
    7440-41-7; 58-89-9; 319-84-6; 319-85-7; 319-86-8; 111-91-1;
    111-44-4;      39638-32-9; 117-81-7; 542-88-1; 74-83-9; 85-68-7;
    7440-43-9; 56-23-5;      57-74-9; 108-90-7; 124-48-1; 75-00-3;
    67^66-3; 74-87-3; 7440-47-3;    218-01-9; 7440-50-8; 57-12-5;
    84-74-2; 117-84-0; 53-70-3; 75-27-4;    75-71-8; 75-09-2; 60-57-1;
    84-66-2; 131-11-3; 1031-07-8; 959-98-8;    33213-65-9; 7421-93-4;
    72-20-8; 100-41-4; 206-44-0; 86-73-7;     1024-57-3; 76-44-8;
    118-74-1; 87-68-3; 77-47^4; 67-72-1; 193-39-5;    78-59-1;
    7439-92-1; 7439-97-6; 621-64-7; 62-75-9; 86-30-6; 91-20-3;
    7440-02-0; 98-95-3; 59-50-7; 12674-11-2; 11104-28-2; 11141-16-5;
    53469-21-9; 12672-29-6; 11097-69-1; 11096-82-5; 87-86-5; 85-01-8;
    108-95-2; 129-00-0; 7782-49-2; 7440-22-4; 127-18-4; 7440-28-0;
    108-88-3; 8001-35-2; 75-25-2; 79-01-6; 75-69-4; 75-01-4; 7440-66-6
(CNM)  Contact nane(s): Minard,D.£.;    Wilson/E.;    Hinard^D.E.
(RQR)  Responsible Organization: Region IX.Toxics and Waste Management
    Division.
                             1214

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                             Accession No.   9098000902

(DQ)  Date of Questionalre:  12-02-82
(NAM)  Name of Data Base of  Model:  0BCP Monitoring
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model;  Ground water  ^Surface  water
    canals, rivers
CABS)  Abstract/Overview of  Data Base  or Model;  DBCP monitoring  of
    municipal and agricultural     uater supplies is contained in  this
    data base.
(CTC)  CONTACTS: Subject matter   William Thurston  (415)974-8226     ',
    EPA Office  William Thurston  (415)974-8226
(DTP)  Type of data collection or monitoring:  Son point source data
    collection
(SfA)  Data Base status: Update Terminated
(BPP)  Non-pollutant parameters included in  the  data base:  Sampling
    date ;Site description /past use of DBCP in  area ;soll  type  ;
    geography ^number of users ;uell description /geology ;narae  of
    sy stein
(DS)  Time period covered by data base: 06-01-79 TO 10-30-80
(TRM)  Termination of data collection: Hot Applicable
(FRQ)  Frequency of data collection or sampling:  as needed
(NOB)  Number of observations In data  base:  1000.(Estimated)
(NEI)  Estimated annual increase of observations in data  base: 0*
(INF)  Data base includes: Raw data/observations ;Summary aggregate
    observations ^Reference  data/citations
(NTS)  Total number of stations or sources covered in data  base: 300.
(KCS)  No. stations or sources currently originating/contributing  data:
    0
CHOP)  Number of facilities  covered in data  base (source  monitoring): 0.
(GEO)  Geographic coverage of data base: Selected federal region Region
    IX
(LOC)  Data elements identifying location of station or source include:
    State ^County ;City /Town/township jStreet address
fFAC)  Data elements identifying facility include: Plant  facility  name
    ;Plant location ^Parent  corp name  ^Parent  corp location /    Public
    Water Supply code number
(CDE)  pollutant identification data are: Oncoded
(LIM)  Limitation/variation  in data of which user should  be auare: Possi
    ble quality control problems with   this  data base.
(DPR)  Data collect./anal, procedures  conform  to ORD guidelines: Sanplin
    g plan documented ;Collection method documented >Analysis method
    document QA procedures documented
(ANL)  Lab analysis based on EPA-approved or accepted methods? YES
(AUD)  Lab Audit: Data not based on lab analysis.
(PRE)  Precision: Precision  and accuracy estimates exist  but are not
    included in data base
(EDf)  Editting: Ho known edit procedures exist.
(CBY)  Data collected by: State agency Hawaii  Department  of Health
    Arizona Department  of Health Services ^Regional office
    Surveillance and Analysis Division^ Region IX
(ABY)  Data analyzed by: State agency  California Department of Food and
    Agriculture   EPA lab Drinking Water Technological  Support Division
    in   Cincinnati (for quality assurance)


                             1215

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                             Accession No.   9098000902     (cent)

(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data collection:  Risk assessment
(PR2)  Secondary purpose of data collection:  Special study
(AUT)  Authorization for data collection: Statutory authorization is P
    L 93-523 as amended (SDWA) P L 92-500 as   amended. Section 504
    (CWA)
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    QQ
(REP)  Form of available reports and outputs  of data base: Unpublished
    reports State of Hawaii and Arizona Environmental    Protection
    Agency/ Region IX DBCP Sampling Program:  June 5, 1979, June 11,
    1979,
(KOS)  Dumber of regular users of data base:  2
(HSR)  Current regular users of data base:  EPA regional offices^
    States
(CNF)  Confidentiality of data and limits on  access: No limits on
    access to data
(DLC)  Primary physical location of data: Regional office
(DST)  Form of data storage: Original form (hardcopy, readings)
(DAC)  type of data access: Manually
(CHG)  Direct charge for non-EPA use: no
(UPDT)  Frequency of data base master file up-date: Other additional
    work being done by Arizona, Hawaii and California     not
    necessarily reported to EPA.
(ROB)  Non-EPA data bases used in conjunction with this data base: Arlzo
    na, Hawaii and California have collected  additional data continuing
    this sampling.
(CMP)  Completion of form:
    William E. Lewis
    OFC: EPA/Region IX
    AD: 215 Fremont St. San Francisco, CA
    PH: (415)556-7550   Updates: William Thurston  EPA Region 9, Hater
    Management Division (415)974-8226

(CAS)  CAS registry numbers of substances included in data base: 96-12-8
(CNM)  Contact narae(s): Thurston,William;    Thurston,William
                             1216

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                             Accession  No.   9098000903

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  United Nuclear  Corporation  (UNC)
    Spill-Rio  Puerco Monitoring
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model:  Ground water  ;Sedinent
    ;Surface water river
CABS)  abstract/Overview of Data Base  or Model:  A  monitoring program  to
    detect the effects   on drinking water of the  United  Nuclear
    Corporation    Spill in Churchrock, New Mexico into  the Rio Puerco
    River.
(CTC)  CONTACTS:  Subject matter   Harold Takenaka   (415)974-7484  ;
    EPA Office     Borald Takenaka (415)974-7484
(DTP)  Type of data collection or monitoring:  Point source data
    collection tailings pond spill
(STA)  Data Base  status: Operational/ongoing
(GRp)  Groups of  substances represented in Data  Base:  18  radioactive
    J129 307 CWA  jll conventional water ?41 CWA  potential criteria }
    21 drinking water standards ;15 metals
CNPP)  Non-pollutant parameters included in the  data base: Chemical
    data ^Collection method ;Location  ;Sampling  date ;Site description
(DS)  Time period covered by data base: 07-01-79 TO 11-30-82

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                             Accession No*   9098000903      (cent)

    included in data base    Edit erratic results reviewed and
    reanalyzed.
(CBY)  Data collected by: State agency Arizona Department of Health
    Services ^Regional office,    Office of  Technical and Scientific
    Assistance, Region IX;   Other federal  agency Indian Health Service
CABY)  Data analyzed by:  state  agency Arizona Department of Health
    Services* New     Mexico Environmental  Improvement  Division
    Regional office Region VI and Region IX (through contract)
    Navajo Tribe
(IDL)  Laboratory identification: YES
(PR1)  Primary purpose of data  collection:  Special study
(AUT)  Authorization for  data collection: Statutory authorization  is P
    L 93-523 as amended.  Section 141 (SDWA)   P L 95-217 as amended.
    Section 104 (CHA)
(OMB)  Data collected/submitted using OMB-approved EPA  reporting forms:
    QQ
(REP)  Form of available  reports and outputs of data base: package of
    all raw data summarized with graphs mailed out.
(NUS)  Number of regular  users  of data base:  5
(USR)  Current regular users of data base:  EPA headquarter offices
    Office of Enforcement Office of Radiation     Programs
    EPA regional offices
    Other federal agencies
    States
    National Park Service, Nuclear Regulatory Commission
    Navajo Tribe
    Arizona & New Mexico  state  governments
(CNF)  Confidentiality of data  and Units on access: No limits on
    access to data
(DLC)  primary physical location of data: Regional office
(DST)  Form of data storage: summary sheet
(DAC)  Type of data access: Manually
(UPDT)  Frequency of data base  master file  up-date: Other as data
    becomes available
(CMP)  Completion of form:
    Laura J. Tom
    OFC: EPA/Region IX
    AD: 215 Fremont St. San Francisco, CA 94105
    PH: (415)974-8379
(DF)  Date of form completion:  02-16-83
(NMAT)  Number of substances represented in data base:  39
(NCAS)  Number of CAS registry  numbers in data base: 28
(MAT)  Substances represented in data base:
    potassiura<7440-09-7>                  cadmiun<7440-43-9>
    uranium 234<13966-29-5>              calcium
    uranium 238<7440-61-1>               chloride
    aluiEinum<7429-90-5>                  chlorlne<7782-50-5>
    antiraony<7440-36-0>                  chroalum<7440-47-3>
    arsenic<7440-38-2>                   cobalt<7440-48-4>
    barium<7440-39-3>                    copper<7440-50-8>
    beryllium<7440-41-7>                  gross alpha
    boron compounds<7440-42-8>            iron<7439-89~6>


                             1218

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                             Accession No.   9096000903     (cont)

    lead 210                             radium 228<15262-20-1>
    lead<7439-92-l>                      selenium<7782-49-2>
    magnesium                            sllver<7440-22-4>
    manganese<7439-96-5>                 sodium and compounds<7440-23-5>
    raercury<7439-97-6>                   specific conductivity
    molybdenum and compounds             sulfates
       <7439-98-7>                       thorium 230
    nickel<7440-02-0>                    thorium 232
    PH                                   uranium<7440-61-l>
    Plutonium 210                        vanadiun<7440-62-2>
    radium 226<13982-63-3>               zinc<7440-66-6>
(CAS)  CAS registry numbers of substances included in data base:  7440-09
    -7; 13966-29-5; 7440-61-1; 7429-90-5;       7440-36-Oj 7440-38-2;
    7440-39-3; 7440-41-7; 7440-42-8; 7440-43-9;     7782-50-5;
    7440-47-3; 7440-48-4; 7440-50-8; 7439-89-6; 7439-92-1;
    7439-96-5; 7439-97^6; 7439-98-7; 7440-02-0; 13982-63-3; 15262-20-1;
    7782-49-2; 7440-22-4; 7440-23-5; 7440-61-1; 7440-62-2; 7440-66-6
(CNM)  Contact narae(s): Takenaka,H.    ;    Takenaka,H.
(ROR)  Responsible Organization; Region IX.Toxics and Waste Management
    Division.
                             1219

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                             Accession No.   9102000516

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Control  and Prevention System
(ACR)  Acronym of Data Base  or Model:  CAPS
(MED)  Media/Subject of Data Base or Model:  Emissions:  Any stationary
    man-made* source of     air contaminants
(ABS)  Abstract/Overview of  Data Base  or Model:  the system captures
    descriptive data regarding    companies and other sources  of air
    pollution including investigative, complaint,  sampling and
    enforcement activities.   Also captured  is     permit activies for
    new point sources of emissions since 1972*   This Includes emission
    description, pollutant/  process and  statement data.  Presently
    this emission data is being expanded to    include major grand
    smothered sources.
(CTC)  CONTACTS: Subject matter  Data  Services Section Chief,  Technical
    Services Division  (512) 451-5711   ; Computer-related Manager of
    Software Development, Data Processing Division  (512) 451-5711
(DTP)  Type of data collection or monitoring: Point source:  Any
    man-made source of air contaminants
(STA)  Data Base status: PresentlyOperational/Ongoing
(GRP)  Groups of substances  represented in  Data Base: 5 NSSHAPS } 7
    criteria NAAQS except ozone ;  3 HID CAA
(MPP)  Non-pollutant parameters included in the data base: Compliance
    data ; discharge points  } industry >   inspection data > location  }
    political subdivisions ; sampling  date  ; permit data
(DS)  Time period covered by data base: 06-72 TO 01-83
(TRM)  Termination of data collection: Not  anticipated
(FRQ)  Frequency of data collection or sampling: Ongoing: annually /
    ongoing: as needed
(NOB)  Kumber of observations in data  base:  40,000(Estimated to date)
(NED  Estimated annual increase of observations in data base: 15,000
(INF)  Data base includes: Aggregate or summary observations
(NTS)  Total number of stations or sources  covered in data base: 18K
(NOF)  Number of facilities  covered in data base (source monitoring):  12
    K
(GEO)  Ceo graphic coverage of data base: Single state:  Texas
(LOC)  Data elements identifying location of station or source include:
    State ; county ; city ;  town/township ;  street    address  ;
    latitude and longitude,  UTM, or other coordinates
(FAC)  Data elements identifying facility include: Plant or facility
    name ? plant location >  parent  corporation-name ;  parent
    corporation-location ; street address ;      sic code > sec (source
    classification code)
(CDE)  Pollutant identification data are: Coded, other coding  scheme
(DPR)  Data collect./anal, procedures  conform to CRD guidelines: Wo,
    but other documentation  available  for each    of the following;
    collection method and analysis method
(AML)  Lab analysis based on EPA-approved or accepted methods? NO
(AUD)  Lab Audit: SO
(PRS)  Precision: Not included in data base, pereision and     accuracy
    measurements available from other  sources
(EDT)  Editting: V.ES, undocumented
(CBY)  Data collected by: Self-reporting, Permittee ; Local agency,


                             1220

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                             Accession No.   9102000516     (cont)

    Federally Funded Program only ;  State agency, Texas Air Control
    Board
(ABY)  Data analyzed by:  State agency, Texas Air Control Board
(IDL)  Laboratory identification: NO
(PR1)  Primary purpose of data collection:  Compliance or enforcement
(PR2)  secondary purpose  of data collection: Program evaluation
(AUT)  Authorization for  data collection: No, Data Base provides a
    management tool for state agency activities, source of data for
    modeling and provides     EPA required reports.
(OMB)  Data collected/submitted using OMB-approved EPA reporting forms:
    NO
(REP)  Form of available  reports and outputs of data base: Printouts on
    request ; on-line computer terminal
(NUS)  Number of regular  users of data base: 10
(USR)  Current regular users of data base:  EPA regional offices ;
    Other- consultants
(CNF)  Confidentiality of data and limits on access: None
                  Hydrocarbons
    Benzene <71-43-2>                    Lead <7439-92-l>
    Beryllium   <7440-41-7>              Nitrogen dioxide <10102-44»0>
    Mercury <7439-97-6>                  Sulfur   dioxide <7446-09-5>
    Vinyl chloride <75-01-4>             Total suspended particulates
    Carbon monoxide <630-08-0>
(CAS)  CAS registry numbers of substances included in data base: 1332-21
    -4; 71-43-2; 7440-41-7; 7439-97-6;     75-01-4; 630-08-0;
    7439-92-1; 10102-44-0; 7446-09-5
(ROR)  Responsible Organization: Texas Air Control Board.
                             1221

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                             Accession No,   9104000911

(DQ)  Date of Quest!onaire: 12-02-82
(NAM)  name of Data Base of Model;  EPA, Region X,  Point Source File
(ACR)  Acronym of Data Base or Model:  PSF
(MED)  Media/Subject of Data Base or Model:  Effluents National
    Pollutant Discharge Elimination System  (NPDES) permittees in  Region
    X ;Runoff Rain/Snowmeit >Surface water  rain/snovmelt
(ASS)  abstract/Overview of Data Base  or Model: Facility location
    information/ permit   conditions,  and discharge water quality data
    required for the Regional Office to conduct and  to assess the
    impact of control measures under the     national Pollutant
    Discharge Elimination System   (NPDES)  permit  program.
(CTC)  CONTACTS: Subject matter  Florence Carroll  (206)442-2723;
    Computer-related Gus Parlier (206)442-2987} EPA Office Mater
    Compliance Section, Region x (206)442-2723
(DTP)  Type of data collection or monitoring:  Point source data
    collection Region 10 Permittees
(STA)  Data Base status: Operational/ongoing
(GRP)  Groups of substances represented in  Data Base: 11 conventional
    water ?15 metals
(JfPP)  Non-pollutant parameters included in the data base:  Compliance
    data Concentration measures ^Discharge points jFlow rates }
    industry ^Inspection data ^Location ;Political subdivisions ?
    Production levels ;Site description /Temperature }Volume/mass
    measures
(DS)  Time period covered by data bases 01-01-79 to current
(TRM)  Termination of data collection: Mot  anticipated
(FRQ)  Frequency of data collection or sampling: daily  ;ueekly ;monthly
    jquarterly ;semi annually >annually ;as needed
(NOB)  dumber of observations in data  base:  250000.(Estimated)
(NEI)  Estimated annual increase of observations in data base: 85000.
(INF)  Data base includes: Raw data/observations }Summary aggregate
    observations ;Reference data/citations
(NTS)  Total number of stations or sources  covered in data bases  750.
(HCS)  No. stations or sources currently originating/contributing data;
    275.
(NOF)  dumber of facilities covered in data base (source monitoring): 75
    0.
(GEO)  Geographic coverage of data base: Selected  federal region  Region
    Jt
(LOC)  Data elements identifying location of station or source include:
    State ^County jCity ;Street address
(FAC)  Data elements identifying facility include: Plant facility name
    jPlant location ^Parent corp name  ^Parent corp location >     Street
    address ;SIC code >MPDES
(CDE)  Pollutant identification data are: Storet parameter
(LIM)  Limitation/variation in data of which user  should be aware: Stree
    t address sometime not available.   Frequency varies by permit.  98%
    of data presently     covers conventional Mater pollutants and
    metals*  Toxics and organics are being  added in some new  permits.
    Laboratory analysis not always based on EPA-approved or accepted
    methods, varying by industry.
(DPR)  Data collect./anal, procedures  conform to QRD guidelines:  Samplin


                             1222

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                             Accession Ho.   9104000911      (cont)

    g plan documented /Collection method documented ;Analysls method
    document
(AND  Lab analysis based on EPA-approved or accepted methods? YES
(AOD)  Lab Audit: Lab audit is satisfactory for 85% compliance
    Inspections conducted on  major discharges by states and/or EPA.
(PRE)  Precision: Precision and accuracy estimates exist but are not
    Included in data base    Edit Subject to visual scanning of
    retrievals.  By nature of National Pollutant Discharge  Elimination
    System (NPDES) program and review/ outlier spotted for  major
    discharges.
(CBtf)  Data collected by: Self reporting most of data from  permittees
    }State agency Environmental agencies Regional office Surveillance
    and Analysis Division  (compliance visits) /  Contractor to
    permittees jOther federal agency as permittees (e.g. shipyards/
    Forest Service campgrounds)
(ABY)  Data analyzed by: Self reporting most of data from permittees
    State agency Environmental Agencies
    Regional office Surveillance and Analysis Division
    Contractor lab to permittees
(IDL)  Laboratory identification: HO
(PR1)  Primary purpose of data collection:  Compliance or enforcement
{PR2>  Secondary purpose of data collection: Program evaluation
(AUT)  Authorization for data collection: Statutory authorization  is  P
    L 95-217, Sections 308 and 402 (Clean Water    Act of 1977), NPDES
    Persit Program

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                             Accession No.   9104000911      (cont)

(NMAT)  Number of substances represented in data base:  21
(NCAS)  Number of CAS registry numbers in data base: 12

    alkalinity                           mercury<7439-97-6>
    arsenic<7440-38-2>                   nickel<7440-02-0>
    cadmiura<7440-43-9>                   nitrogen<7727^37~9>
    chronium<7440-47-3>                  oil and grease
    copper<7440-50-8>                    oxygen demand
    dissolved oxygen                     pH
    dissolved solids                     pHosphorus<7723-14-0>
    fecal conform                       selenium<7782-49-2>
    iron<7439-89-6>                      suspended solids
    lead<7439-92-l>
(CAS)  CAS registry numbers of substances included in data base:  7440-38
    -2; 7440-43-9; 7440-47-3; 7440-50-8;   7439-89-6; 7439-92-1;
    7439-96-5; 7439-97-6; 7440-02-0; 7727-37-9;     7723-14-0;
    7782-49-2
(CNM)  Contact name(s): Florence Carroll   ;   Section/U.C.
(RQR)  Responsible Organization: Region X.Management Division.
                             1224

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                             Accession No.   12302000901


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                             Accession No.   12302000901    (cont)

           a.   Linear
           b.   Nonlinear
           c.   Both
    2.  Printing of all endogenous and exogenous variables.
    3.  Printing of various diagnostic variables.
    4.  Which  of the three parametric solutions (P = ATC, P  = AVC/
           MR  - «c) is most probable.
(OUT)  Output  of model: Depending upon the  version chosen/ CQPMODl' Mill
    generate a wide range of subsidiary calculations such as production
    estimates/ sales estimates/  and payroll estimates.   Financial
    estimates  (pollution abatement investment/ depreciation/ dividends/
    etc.) derived from primary producer's estimated fixed costs are
    printed in constant and current dollars.
(CSR)  Computational System Requirements: COPMQD1 is coded in (ASCII)
    FORTRAN V  and requires approximately 65K words of core storage for
    execution.  The program  is compatible  with the Unlvac 1110 and
    requires a moderate amount of computer  skills and a working
    knowledge  of econometrics to modify and execute.
(APP)  Applications of model: CQPMODl was developed primarily for
    estimating the impact on copper producer's costs from pollution
    abatement  expenditure.  The model may also be utilized in
    evaluating the effects of noncompliance fees on the producers  of
    copper and non-refined scrap.
(HDH)  computational system requirements -  Hardware: Mainframe Univac
    1110 ;Disc storage 65K words
(LNG)  Computational system requirements -  Language(s)  used: Fortran
(QSK)  Computational system requirements: Operator Knowledge/Skills: Pro
    gramming ;Econometrics
(REF)  References - User manuals/ documentation/ etc.:
    Arthur 0*  Little/ October 1976.  "Economic Impact
    of Environmental Regulation on the U.S. Copper Industry".
    Draft report.
    Arthur D.  Little/ April 1978.  "COPMODl Program/
    Documentation"/ Cambridge/ Massachusetts.
    Raymond S. Hartisan, January 1977*  "An  Oligopolistic Model
    of the U.S. Copper Industry" Ph.D thesis, H.I.T.
(CNM)  Contact name(s): Titus,J.
(COR)  Contact organization: EPA-OPM-QffIce of Planning and  Evaluation
(ROR)  Responsible Organization: Office of  Policy and Resource
    Management,Off ice of Policy Analysis.Economic Analysis Division.
                             1226

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                             Accession No.   12302000902

(DQ)  Date of Questionaire:  12-02-82
(STATUS)  Status of entry: Inactive
(NAM)  Name of Data Base of Model:  Construction Model
(ACR)  Acronym of Data Base or Model: CONMOD
(MED)  Media/Subject of Data Base or Model:  Industry/economic
(ABS)  Abstract/Overview of Data Base or Model: The construction model
    is an econometric model designed for the evaluation of  sever line
    and treatment plant expenditures by the  Environmental Protection
    Agency. The model estimates impacts on labor supply/ investment/
    and prices from EPA sewer-related expenditures.  CONMOD was
    developed by the Center for Naval Analyses (CNA).  CONMOD resides
    on the IPS/TROLL system at the Massachusetts Institute  of
    Technology.
(CTC)  CONTACTS: James Titus    EPA-OPM-Qffice of Planning  and
    Evaluation
    Loc: FM-220 401 M St., SW Washington, DC 20460   Ph: 202-287*0725
(STA)  Data Base status: Discontinued
(DF)  Date of form completion: 01-31-83
(CAP)  Functional capabilities of model: The TROLL system allows for
    direct user interaction with CONMOD.  Simulation of any equation or
    the production of graphs is accomplished through simple
    conversation with TROLL.  This system also provides for a variety
    of output options in addition to the printing of standard
    regression statistics.  Econometric techniques ranging  from OLS to
    2SLS with autocorrelation correction procedures are readily
    available.  CONMOD utilizes GLS because of the small sample sizes.
    TROLL'S unique file system allows all relevant files associated
    with a given model to be accessed automatically be referencing the
    model Itself.  THe user doesn't need to be concerned with loading
    data or parameters.  TROLL also contains a file editor  and provides
    for off line printing.
(ASM)  Basic assumptions of model: CONMOD was developed assuming the
    construction industry to be competitive.  For any type  of
    construction, the composition of construction between trades
    remains fixed. Stock of structures equations imply a stock
    adjustment mechanism where actual stocks adjust to desired stocks
    at a constant rate (estimated by regression analysis).   Lastly, the
    labor supply schedule is derived from a constant elasticity of
    substitution production function (CES).
(INP)  Input to model: Once CONMOD has been accessed, the TROLL system
    automatically provides the required data input.  The user can then
    specify the equation technique, simulation period, required
    statistics, and any graphic output desired.  After the  model has
    been simulated once, TROLL will automatically create a  "data set*
    file which includes the model, data, and estimated coefficient
    values.  In this way performing a variety of simulation experiments
    at a later time is a simple task. Data can be printed when desired
    and results from the output stream can be stored for later use*
(CSR)  Computational System Requirements: There are no specific system
    resource requirements needed to run CONMOD on TROLL. The system is
    conversational and costs approximately $9.00 per CPU minute and
    $2.CO per hour connect time to operate.


                             1227

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                             Accession No.   12302000902     (cont)

(APP)  Applications of model: CQNMQD is used for estimating the
    economic impact resulting from the SPA's massive sewer  line  and
    sewer treatment plant expenditure program.   The model may  also  be
    used for other applications involving the construction  industry.
(HDW)  Computational system requirements -  Hardware: Mainframe No
    specific system requirements
(LUG)  Computational system requirements -  Language(s) used: Fortran
(REF)  References - User manuals*  documentation^ etc.s
    Center for  Naval Analyses/ March 1978*   "The
    Economic Effects of Environmental Regulations on the Construction
    Industry" Arlington, Virginia.
    Rational Bureau of Economic Research,, June  1972.  "TROLL/1
    Users Guide" Cambridge, Massachusetts.
(CUM)  Contact  name(s): Titus,j.
(COR)  Contact  organization: SPA-OPM-Office of  Planning  and Evaluation
(ROR)  Responsible Organization: Office of  Policy and Resource
    Management.Office of Policy Analysis.Economic Analysis  Division.
                             1228

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                             Accession No.   12302000903

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model:  Steel Industry Model
(ACR)  Acronym of Data Base or Model;  PTM
(MED)  tfedia/Subject of Data Base or Model:  Industry/economic
CABS)  Abstract/Overview of Data Base or Model:  PTM was developed by
    Temple/ Barker/ and Sloane (TBS) for the purpose of systematically
    analyzing the effects on the steel industry resulting frora
    environmental regulations/ input price  changes/ or from other cost
    variations.  The model partially relies on a modeling effort
    previously done by Arthur 0. Little in  Cambridge/ Massachusetts.
    PTM contains four modular components:  production/ pollution
    control/ and finance/ and economic impact.  The three later
    components depend upon the production and capacity data from the
    production component in order to execute.  Exogenous variable
    values for simulation were obtained through Data Resources Inc.
(CTC)  CONTACTS: Robert Greene  EPA-GPM-Of f ice of Policy Analysisf Loc:
    PM-220 401 M St./ SW Washington/ DC 20460   Ph: 202-382-2780
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01--31-83
(CAP)  Functional capabilities of model: PTM has the capability of
    performing many different sensitivity analyses by altering data
    inputs such as the rate of return on equity/ degree of cost pass
    through/ cost of capital/ etc.   In addition/ effects on energy
    usage/ production employment/ prices and the balance of trade
    stemming from environmental regulations can be estimated.  Cost
    impacts of the Clean Air Act and other  air pollution regulations
    can be calculated utilizing different engineering cost estimated.
    The resulting revenue requirements and  price effects are also
    computed by model.
(ASM)  Basic assumptions of model:  The baseline forecast for steel
    shipments by 1990 is 108 million net tons. The other baseline
    indicators needed to simulate the baseline forecast are capital
    expenditures/ external financing needs/  operations and maintenance
    expenses/ revenue requirements/ and the average price of steel per
    ton.  TBS has calculated the following  numbers for the baseline
    forecast.
                                                           Short Run
                                                           1981-1985
    Capital Expenditures            $ 18.If Financing Needs
    3.2           30.3* Revenue Requirements              52.8
    5.6# Average Price                    554.52         556.72# (in
    1980 dollars per ton)ft The theoretical  assumptions used in
    constructing PTM were not available as  of this writing.
(IMP)  Input to model: PTM requires many cost inputs.  These consist of
    production costs and pollution control  costs.  Under these two
    headings there are several subdivisions.  Pollution control costs
    can be broken down into water pollution and air pollution control
    costs.  Each type of pollution control  cost has two (main) cost
    categories; operations and maintenance  expenditures and capital
    costs.  Production costs include capital expenditures/ operations
    and maintenance cost/ raw materials cost, and "other costs'* PTM
    (Steel) produces the following outputs:


                             1229

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                             Accession Mo.  12302000903    (cont)

    1.  Income Statement
    2.  Flow of funds summary
    3.  Balance sheet
(Oil?)  Output of model? These outputs contain all the information
    necessary to analyze the impacts on the industry.  All output
    figures are in current dollars*
(CSR)  Computational System Requirements? PfM is coded in FORfRAH V and
    can be run on the IBM 370/158 or UNIVAC 1110 computers. Unless
    alterations to the baseline or scenario forecasts are desired, the
    model can be run immediately after being loaded into the machine.
    Direct alterations to the program Hould require a working knowledge
    of FORTRAN and econometrics.
(APP)  Applications of model: PTM Steel has been primarily used for
    environmental impact/sensitivity analyses by the U.S. Environmental
    Protection Agency.  The model could also be used in forecasting
    impacts on the steel industry resulting from changes in factors of
    production/ factor prices/ or technological advancement.
(HOM)  Computational system requirements - Hardware: Mainframe IBM
    370/158 or Univac 1110
(LUG)  Computational system requirements - Language(s) usedi Fortran
(OSK)  Computational system requirements! Operator Knowledge/Skills: Pro
    gramming ;Econometrics
(REF)  References - User manuals, documentation, etc.:
    Temple, Barker, and Sloane (TBS) July 1977.
    "Analysis of Economic Effects of Environmental Regulation on
    the Integrated Iron and Steel Industry" Volumes 1 and 2.
    Weliesley Hills, Massachusetts*

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                             Accession Ho.   12302000904

(DQ)  Date of Questionaire: 12-02-82
(STATUS)  Status of entry:  Inactive
(NAM)  Kame of Data Base of Model:  Automobile Demand Model
(ACR)  Acronym of Data Base or Model:  CARMQD
(MED)  Media/Subject of Data Base or Model:  Industry/economic
(ABS)  Abstract/Overview of Data Base or Model:  CARMQD is a 400
    equation simultaneous econometric model*  The model is  concerned
    primarily with estimating long  run levels of automobile demand.
    CARKOD was developed by Mharton Econometric  Forecasting Associates
    (WEFA).  The model is long run and movements toward equilibrium  are
    governed by a stock adjustment mechanism. CARKOD resides on the
    IPS/TROLL system at the Massachusetts Institute of Technology.
(CTC)  CONTACTS: Mahesh Podar   EPA-OPM-Qf fice of Planning  and
    Evaluation
    Loc: PM-220 401 M St.,  SM Washington, DC 20460   Ph: 202-287-0734
(STA)  Data Base status: Discontinued
(DF)  Date of form completion: 01-31-83
{CAP)  Functional capabilities of model: The TROLL system allows for
    direct user interaction with Carmod-  Simulation of any equation or
    the production of graphs is accomplished through simple
    conversation with TROLL.  This system also provides for a variety
    of output options in addition to the printing of standard
    regression statistics.   Econometric techniques ranging  from OLS  to
    2SLS with autocorrelation correction procedures are readily
    available*  CARMQD*s equations were estimated using ordinary least
    squares. TROLL'S unique file system allows all relevant files
    associated with a given model to be accessed automatically be
    referencing the model itself.  The user doesn't need to be
    concerned with loading data or parameters*  TROLL also contains  a
    file editor and provides for off line printing.
(ASM)  Basic assumptions of model: The assumptions concerning model
    forecasts (baseline projection) fall into three categories;
    demographic trends/ the economic environment/ and automobile
    characteristics.
    I.  The major demographic assumptions are:
    Slow population growth:  the growth-rate falls from 0.17% per annum
    for 1976-1985 to just over 0.3% for 1995-2000. Family formation
    outspaces population:  the number of family  units rises from 75.3
    million in 1975 to 87.4 million in 1985 (a 1.5% per annum rate)  to
    100.7 million by 2000 (a 0.9% per annum rate). Families become
    smaller:  the proportion with five or more members falls sharply/
    while that for three or four remains constant. An aging population:
    the percentage between 20 and 29 years of age falls/ especially
    after 1980.
    2*  The key economic assumptions are:
    Strong real income growth:  real GJJP growth  in excess of 5% per
    annum through 1978, slowing to 2% for 1979-1980/ stabilizing at
    around 3% per annum thereafter. Slowing inflation:  the overall  GNP
    deflator rises at around 5.5% per annum through 1980/ sloping
    towards 4% by 1985, and reaching 3% per annum by 2000.  Declining
    unemployment-rate;  unemployment falls towards a 5% rate by the
    mid-1980*s, then slowly trends towards 3% by 2000. Sloaly


                             1231

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                             Accession No.   12302000904    (cont)

    Increasing 'real* automobile costs:  operating coats are expected
    to outpace the overall consumer price index/ expecially the price
    of gasoline - projected to increase over 201 in 1972 prices by
    1985; however, 'real* purchase prices are expected to be quite
    stable.
    3.  The auto characteristics assumptions are:
    Sharply reduced Heights and displacements:   a major domestic
    downsizing program/ applied to each size-class in succession/
    reducing curb-weights about 30%,  and engine displacements about
    40%, by 1990. Efficiency improvements:   technological developments
    are projected to yield increases  in fuel efficiency totalling 11%
    for 1976-80; thereafter these gains are held to 1% per annum on the
    assumption of more stringent pollution  standards.
(IRP)  Input to model: Once CARMOD has been accessed/ the TROLL system
    automatically provides the required data input.  The user can then
    specify the equation technique/ simulation period/ required
    statistics, and any graphic output desired.  After the model has
    been simulated once/ TROLL will automatically create a 'data set"
    file which includes the model/ data/ and estimated coefficient
    values.  In this way performing a variety of simulation experiments
    at a later time is a simple task.
(CSR)  Computational System Requirements: There are no specific system
    resources requirements needed to  run CARMOD on TROLL.  The system
    is conversational and costs approximately $9.00 per CPU minute and
    $2.00 per hour connect time to operate.
(APP)  Applications of model: CARNOD  has been used by the Department of
    Transportation to forecast the long run size and composition of
    U.S. auto demand and stock.  More recently/ the model has been
    employed by the Environmental Protection Agency in forecasting
    impacts on the U.S. automobile industry resulting from
    environmental regulations.
(HDW)  Computational system requirements -  Hardware: Mainframe No
    specific system requirements
(LNG)  Computational system requirements -  Language(s) used: Fortran
CREF)  References - User manuals, documentation/ etc.:
    Hharton Econometric Forecasting Associations/
    "An Analysis of the Automobile Market:   Modeling the Long
    Run Determinants of the Demand for Automobiles'* Philadelphia/
    PA, February 1977.
    National Bureau of Economic Research/ "TROLL/1 User's Guide"
    Cambridge/ Massachusetts/ June 1972.
(CNM)  Contact name(s): Podar/M*
(COR)  Contact organization: EPA-OPM-Office of Planning and Evaluation
(ROR)  Responsible Organization: Office of  Policy and Resource
    Management.Offlce of Policy Analysis.Economic Analysis Division.
                             1232

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                             Accession No.   12302000905

(DQ)  Date of Questionaire:  12-02-82
(STATUS)  Status of entry:  Inactive
(NAM)  Name of Data Base of Model:  Pulp and Paper Industry  Model
(ACR)  Acronym of Data Base or Model: P&PMOD
(MSD)  Media/Subject of Data Base or Model: Industry/economic
CABS)  Abstract/Overview of Data Base or Model:  PSPWOD is a
    nonsimultaneous model of the pulp and paper  industry.  The model
    contains supply and demand equations for sectors of  the pulp  and
    paper industry and aggregate industry equations.  A  flow of funds
    model is used to estimate the amount of capital and  external
    financing needed to support the forecasted demand values.  The  flow
    of funds model and supply/demand model  are not interfaced.  P&PMOD
    was developed by Arthur D. Little, Inc. for  the U.S. Environmental
    Protection Agency.
(CTC)  CONTACTS: James Titus    EPA-OPM-Office of Planning  and
    Evaluation
    Loc: PM-220 401 M St./  SW Washington/ DC 20460   Ph: 202-287-0725
(STA)  Data Base status: Discontinued
(DF)  Date of form completion: 01-31-83
(CAP)  Functional capabilities of model: The pulp and paper industry  is
    divided into ten product sectors by the ADL  study.  For each  sector
    the model has supply and demand equations.  The equations can be
    estimated using any regression package  with  auto correlation
    correction procedures (ADL used Time Series  Processor (TSP)). With
    the proper software/ supply and demand  can be forecasted for  each
    product sector and the  subsequent flow  of funds model which depends
    upon the result form the supply/demand  is the production forecast
    front the aggregate equation.  Assuming  that  the data base resides
    on the computer/ the models can be interfaced by someone with
    programming experience.  The econometric supply/demand  model
    utilizes ordinary least squares and two-stage least  squares
    estimation procedures.
(ASM)  Basic assumptions of model:  P&PMOD assumes that over the
    forecast period 1976 and 1983,  the industry  will continue to  pursue
    its traditional financial policies and  to price its  products
    consistent with the demand schedule it  faces to achieve its
    required rate of return.  Although it is rarely the  case/
    equilibrium is assumed  to exist in the  produce and capital matters.
    To this extent/ observed values will fluctuate around the
    ^orecast^d values.
(INr   Input to model: The  demand equations require macroeconomic data
    for simulation.  ADL used Chase Econometrics macro forecasts  for
    this input.  However/ other firms with  large scale macro models
    would also be able to produce macro forecasts for P&PMOD. The
    American Paper Institute provided the capacity utilization figures
    which were used in a trend analysis for extrapolating capacity
    utilization (adjusted by the results from the mill closure
    analysis).  These numbers were used as  inputs for the flow of funds
    model.
(OUT)  Output of model: Outputs from the supply/demand model Include
    demand (consumption) and prices.  As a result/ the price increase
    necessary for existing  mills to recover their increase  in average


                             1233

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                             Accession No.   12302000905    (cent)

    total cost resulting from compliance with the studied regulations
    can be computed.  Financial calculations are done after the
    econometric analysis because of the dependency on the forecasts.
    Financial outputs include the amount of external financing required
    to meet forecasted demand/ cash flow to equity ratios, net Increase
    in working capital and more.
(CSR)  Computational System Requirements; PiPMOD can be run on any
    computer equipped uith an econometric software package.  ADL used
    an IBM 370/135.  A programmer with a knowledge of economics is
    required,
(APP)  Applications of model: P&PMGD is currently used to forecast
    price impacts on the pulp and paper Industry resulting front the
    Implementation of regulations*  Other potential uses includes
    forecasting industry impacts under conditions of pulp shortage or
    surpluses*
(HDW)  Computational system requirements - Hardware: Mainframe IBM
    370/135 or any computer system equipped with a econometric software
    package
(LNG)  Computational system requirements - Language(s) used:  Fortran
(OSK)  Computational system requirements: Operator Knowledge/Skills:  Pro
    gramming ;Economics
(REF)  References - User manuals, documentation, etc.:
    Little, Arthur D., Inc., 1977, "Economic Impact
    of pulp and Paper Industry Compliance with Environmental
    Regulations" Volumes 1, 2, and 3, Cambridge, Massachusetts.
    Bronwyn Hall, 1975, "Time series Processor", Harvard University
    Center for Economic Research.
(CUM)  Contact nane(s): Titus,J*
(COR)  Contact organization: EPA-OPM-Office of Planning and Evaluation
(ROR)  Responsible Organization: Office of Policy and Resource
    Management.Office of Policy Analysis.Economic Analysis Division.
                             1234

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                             Accession No.   12302000906

(DQ)  Date of Questionaire: 12-02-82
(STATUS)  Status of entry:  Inactive
(NAM)  Kane of Data Base of Model; Abatement and Residual Forecasting
    Model
(ACR)  Acronym of Data Base or Model:  ABTRES
(MED)  Media/Subject of Data Base or Model:  Industry/economic
(ABS)  Abstract/Overview of Data Base or Model: the Abatement and
    Residual Forecasting Model (ABTRES) forecasts and reports the costs
    associated with pollution control systems, and the concomitant
    residual levels.  The system is based upon "sectors"; that is,
    processes or technologies which have identifiable pollution control
    costs.  These sectors are aggregated to  "chapters" for reporting
    purposes.  Chapters are industrial segments* organized in a manner
    determined by the analyst.  This aggregation is useful since there
    are often several sequential operations  within an industry, each
    with separate pollution control systems, or an industry nay be
    defined in a general manner, to include  several different end
    products, such as "Organic Chemicals."
(CTC)  CONTACTS: Anne Cassin    EPA-OPM-Office of Planning and
    Evaluation
    Loci PM-220 401 M St.,  SM Washington, DC 20460   Ph: 202-382-2778
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-31-83
(CAP)  Functional capabilities of model: The ABTRES model allows the
    user to compute costs associated with meeting the pollution control
    standards in effect through Internal calculations based upon
    certain input parameters, or the user may enter these costs
    exogenously.  In conjunction with these  cost forecasts, the model
    projects estimated residual levels associated with the treatment
    methods of each abatement technology sector*  There are two
    standards uhich apply to existing Industries to meet Federal
    guidelines for water pollution control,  and these are the Best
    Practicable Technology  (BPT) and the Best Available Technology
    (BAT).  There are separate standards promulgated for plants
    established after a particular date (which varies by industry), and
    the set of records is referred to as New Source Performance
    Standards (KSPS).  Sectors dealing with  air pollution have a single
    standard to implement,  which is based upon state implementation
    plans (SIP).  There are also more stringent regulations dealing
    with new plants.  Types of pollution considered by the model
    include; particulates,  sulfur oxides, nitrogen oxides,
    hydrocarbons, carbon monoxides, vinyl chloride, other gases and
    mists, biological oxygen demand, chemical oxygen demand, suspended
    solids, dissolved solids, acids, bases,  and oils and greases*
(ASM)  Basic assumptions of model: ABTRES is an accounting model that
    subcategorizes industries and computes costs associated with
    meeting the pollution control standards  in effect through internal
    calculations based upon certain input parameters. Costs may also be
    entered exogenously.  A straight line interpolation method is used
    to find the growth rates for years not specified as corresponding
    to these rates.  Growth is held constant for the intervals between
    interpolation years,  the conceptual growth curves are smooth; for


                             1235

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                             Accession No.   12302000906    (cont)

    computational purposes, the step curve  is used,  allocating all
    growth to the beginning of the fiscal year.
(IMP)  Input to model:  Input to the model is in  card image form,  and
    the following types of information are  included:  abatement
    technology description, number of residuals, equipment life,
    interest rates, exogenous costs, loading factors, capacity
    utilization, number of plants, average  capacity, growth percentage
    by interpolation year, percentage of capacity pretreating wastes
    prior to miniclpal  treatment by interpolation year, residual  codes
    for pollution types, base residual coefficients  (to yield total
    pollutant level generated without any treatment), and fraction of
    waste treated.
(OUT)  Output of model: Once forecasts of costs  and  residuals have been
    generated by the computational program  of ABTRES, a report
    generator is implemented using the output files.  The costs for
    several abatement technology sectors are aggregated as a "chapter
    level". Different reports are issued for air and water treatment
    systems.
CCSR)  Computational System Requirements: Two programs must be
    implemented in the  ABTRES system.  The  first is  a forecasting
    model, and the second a report generator. The model requires 100K
    bytes of core storage.  Model users should have  a knowledge of
    programming and an  awareness of the model's  theory and limitations.
(APR)  Applications of  model: ABTRES can be used to  forecast and report
    the cost associated with pollution control systems and the
    concomitant residual levels.  It has been applied to manufacturing
    plants and the levels of water pollution associated with these
    plants.
(HDW)  Computational system requirements -  Hardware: Mainframe IBM 370
(LNG)  Computational system requirements -  Language(s) used: Fortran
(OSK)  Computational system requirements: Operator Knowledge/Skills: Pro
    granting ^Awareness of the model's theory and limitations
(REF)  References - User manuals, documentation, etc.:
    Ming, 8.J., Abatement and Residual Forecasting
    Model (ABTRES), Prepared by the Professional Services Division,
    Control Data Corporation, Rockville, Maryland, for the Office
    of planning and Evaluation, 0. S. Environmental  Protection
    Agerscy, Washington, D,C., April, 1977.
(CUM)  Contact name(s): Titus, J.
(COR)  Contact organization: EPA-OPH-Offiee of Planning and Evaluation
(RQR)  Responsible Organization: Office of  Policy and Resource
    Management.Off ice of Policy Analysis.Economic Analysis Division.
                             1236

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                             Accession No.   13403000903

(DQ)  Date of Questionalre: 12-02-82
(HAH)  Kane of Data Base of Models S120 Noncompllance Penalty Model
(ACR)  Acronym of Data Base or Model: PENALTY
(MED)  Media/Subject of Data Base or Model:  Air ;Industry/economic
(ABS)  Abstract/Overview of Data Base or Model: The Section 120
    Noncompliance Penalty Model (PENALTY) Is an economic model used to
    calculate the economic benefit of delayed compliance with the
    requirements of the Clean Air Act as amended, August 1977.  The
    nonconpliance penalty is based on the concept that it is usually in
    a source's best economic interest to delay the commitment of funds
    for pollution control equipment* and that incentive should be
    eliminated.  The program Has completed in February, 1979, by
    Putnam, Hayes & Bartlett, Inc* of Newton, Massachusetts* for the
    U.S. EPA, Office of Planning and Management.
(CTC)  CONTACTS: Howard F. Wright    U.S. EPA, Stationary Source
    Compliance Division Office of Air Quality Planning & Standards Loc:
    401 N St, S.W., Washington DC 20460    Ph: (202) 382-2833
(STA)  Data Base status: Operational/Ongoing
(OF)  Date of form completion: 12-08-82
(CAP)  Functional capabilities of model: PENALTY compares two cash
    flows, that which the source would have experienced had it achieved
    compliance on the date it received a notice of noncompliance, and
    that which it is estimated it will experience as a result of its
    delay.  Because these cash flows occur at different times, a basis
    of comparison is provided by discounting them to their present
    value equivalents.  The model then calculates the difference
    between these two cash flows and the appropriate quarterly payment
    schedule that the source should follow.  It can also make a final
    adjusted penalty calculation when the source has achieved
    compliance.  The capital investment portion of the penalty is
    calculated using standard and rapid amortization.  Under both types
    of amortization the program calculates the depreciation tax savings
    using straight line, sum-of-the-years-digits, and double declining
    balance depreciation methods.  The program will automatically
    choose the method which will result in the lowest penalty.
iASM)  Basic assumptions of model: The relative mix of debt, preferred
    stock and common equity allocated to pollution control equipment is
    the same as that found in the firm's capital structure as shown on
    its balance sheet. Cash flows are discounted using the equity
    method. The noncompliance penalty is computed as a
    non-tax-deductible expense to the firm.  Cash flows take place at
    the end of each month. The rate of inflation of pollution control
    operating and maintenance expenditures is the same as that for
    pollution control capital costs. The noncompliance penalty is
    calculated using a thirty-year time horizon. The salvage value of
    any equipment with useful life remaining at the end of the thirty
    year time horizon Is zero. The discount rate is not less than the
    inflation rate.
(1NP)  Input to model: Input to the model Includes source-related data:
    facility life, months of noncompliance,  income tax rate, discount
    rate, and preferred stock dividend rate; equipment-related data;
    capital expenditures, operating and maintenance costs, financing


                             1237

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                             Accession No.   13403000903    (cont)

    (industrial bonds; equity share, preferred stock share, and debt
    share of investment), equipment useful  life and depreciation life;
    and a forecasted inflation rate.  This  information may come from
    the firm itself as well as the Internal Revenue Service, Chemical
    Engineering Plant Cost Inflation Index, the Federal Trade
    Commission, and Moody's Bond Record*
(GOT)  Output of model: Output consists of  two user-selected formats; a
    lump sum settlement, or a schedule of quarterly payments, both
    expressed in thousands of dollars.
(APP)  Applications of model: It Hill be used by HQ, EPA regional
    offices and States as well as sources and contractors to compute
    noncompliance penalties.
(HDW)  Computational system requirements -  Hardware: Mainframe IBM
    360/370
(LNG)  Computational system requirements -  Language(s) used: Fortran
(OSK)  Computational system requirements: Operator Knowledge/Skills: eco
    nomics, finance (neither, however, is essential)
(OAQ)  Model reviewed and approved by OAQPS? YES
(SRC)  Source of pollutant: N/A
(REF)  References - User manuals, documentation, etc.:
    Monday, July 28, 1980 Federal Register
    Part II - EPA - Assessment and Collection of Non-compliance
    Penalties by EPA and approval of State  Noncompliance Penalty
    Program.  Appendix A - Technical Support Document
    Appendix B - CAA Section 120 Noncompl.  Penalties Instruction
    Manual
(CNM)  Contact name(s): tfright,H.F.
(COR)  Contact organization: D.S. EPA, Stationary Source Compliance
    Division Office of Air Quality Planning S.
(ROR)  Responsible Organization: Office of  Air, Noise and
    Radiation.Office of Quality Planning and Standards.Stationary
    Source Compliance Division.
                             1238

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                             Accession No.   14203000001

(DQ)  Date of Quest!onaire:  12-02-82
(NAM)  Name of Data Base of  Models  High Level Radioactive
    Waste-Repository Risk Model
(ACR)  Acronym of Data Base  or Model:  REPRISK
(MED)  Media/Subject of Data Base or Model:  Radiation
CABS)  Abstract/Over view of  Data Base  or Model:  This computer code
    calculates the expected  genetic and somatic  health effects at a
    generic high level radioactive waste geologic repository.  The code
    calculates radionuclide  releases to air, land surface,/  and rivers
    or lakes from a repository as a result  of expected events and
    accident events.  The accidents are human intrusion (drilling),
    breccia pipes, faults, meteorites  and volcanoes.  The expected
    events are shaft and borehole leakage and bulk rock transport. The
    releases result either from destruction of waste packages or
    disturbance of the contaminated repository backfilled tunnels. The
    concentration of radioactivity in  the backfilled tunnels depends on
    availability of water in the tunnels, the dissolution of
    radionuclides (solubility), and the characteristics of the waste
    matrix and canisters* Movement of contaminated Hater in the
    tunnels is either directly to land surface or to aquifers overlying
    the repository.  Movement of the radioactivity in the aquifer is
    governed by grounduater  flow in the aquifer  and retardation of
    radionuclides in the aquifer.

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                             Accession No.   14203000001    (cont)

    health effects, genetic health effects, or release limit ratios.
    1)  Integrated risk or release limit ratios.
    2)  Probability consequence curves.
(APP)  Applications of model: EPA/QRP is using the code to
    conservatively evaluate 5 generic high  level  waste repositories -
    bedded salt, granite, shale, basalt. This effort is support for
    the EPA/QRP EIS and standard for high level waste repositories.
    Subroutines and linkages IMSL mathematical function DCADRE is used
    as the numerical integrator.
(HOW)  Computational system requirements -  Hardware: Mainframe IBM 370
    ^Magnetic tape storage 2 tapes ; Printer Li
(REF)  References - User manuals, documentation,  etc.:
    Users Manual to be published.
    Smith, C.B., D.J. Eganr W.A. Hllliaras,  J.M. Gruhlke, C-Y
    Hung, and B. Serini population Risk from Disposal of High-Level
    Radioactive Wastes in Geologic Repositories.   EPA/520/3-80-006
    Smith, J.H., T.W. Fowler, and A.S. Goldin Environmental Pathway
    Models for Evaluating Population Risks  from Disposal of
    High-Level Radioactive Hastes in Geologic Repositories EPA
    520/5-80-002.

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                             Accession No.   14203000002


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                             Accession No.   14203000002    (cont)

(QSK)  Computational system requirements:  Operator Knowledge/Skills:  Pro
    granming ;Engineering ;Job control language of the Intern
    Statistics Library (IMSL)
(ATP)  Air Models - Type of model:  Gaussian dispersion
(OAQ)  Model reviewed and approved by OAQPS? NO
(PMP)  Production method of primary pollutant in model: Primary
    (emitted directly into atmosphere)
(MPR)  Process used to remove pollutant from atomosphere:  Negligible
    removal
(THE)  Sample averaging time used:  more than 24 hours
(SRC)  Source of pollutant: Faultlng-nultiple point; Drilling-United
    point
(AR)  Area where sample was collected: level or gently rolling terrain.
(RNG)  Distance traveled by pollutant from source: less than 60 ka
(WTP)  fcater Models - Type of model: Mater quality
(ENV)  Environment(s) to which model applies: Non-point Aquifers
(CON)  Processes and constituents included in model: Srosion and
    sediment ;Temperature ^Biological effects ;Hydro Hydraulics
(CPL)  Complexity level of model: Simplified

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                             Accession No.   14203000003

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model; Great Lakes Dose/Concentration
(ACR)  Acronym of Data Base or Model: GLA-1
(MED)  Media/Subject of Data Base or Model: Radiation ;llater
(ABS)  Abstract/Overview of Data Base or Model: This model uses a
    simplified representation of the Great  Lakes along with the time
    dependent dose equations of International Cooiission on
    Radiological Protection (ICRP) 10A to predict ambient lake
    concentrations on the dose rates resulting from chronic ingestion
    of radioactivity in Lake waters.  However/ the program is
    applicable to other pollutants.
(CTC)  CONTACTS: R.E. Sullivan  U.S. EPA, Office of Air Noise and
    Radiation, of Radiation Programs/ CSD
    Loc: Crystal Mall #2/ 1921 Jefferson Davis Hay.  Ph: (703)557-9380
    Loc: Arlington/ VA 22202
(STA)  Data Base status: Operational/Ongoing

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                             Accession No.   14203000003    (cont)

(KTP)  Water Models - Type of model:  Hater  quality
(ENV)  Environments) to which model  applies:  Lake
(CON)  Processes and constituents included  in model: Biological effects
(CPL)  Complexity level of model: transient mass balance lone
    dimensional
(REF)  References - User manuals, documentation, etc.:
    Sullivan, R. E. and Ellett, M.H,, 1977.  The
    Effect of Nuclear Power Generation on Water Quality in the
    Great Lakes.  ORP/CSD-77-5.
(CHM)  Contact narae{s): Sullivan/R.E.
(COR)  Contact organization: D.S. EPA, Office of Air Noise and
    Radiation, office of Radia
(ROR)  Responsible Organization: Office of  Air, Noise and
    Radiation.Office of Radiation Programs.Criteria and Standards
    Division.
                             1244

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                             Accession No.   14203000004

(DQ)  Date of Questionalre:  12-02-82
(NAM)  Name of Data Base of  Model: Radionuclide Dose Rate/Risk
(ACR)  Acronym of Data Base  or Model:  RADRISK
(MED)  Media/Subject of Data Base or Model:  Radiation
(ABS)  Abstract/Overview of  Data Base or Model: RADRISK is a model
    designed to estimate the health risk due to Inhalation or Ingestion
    of radionuclides for arbitrary exposure  periods.  The end result of
    the system is a set of values relating fatal cancers and
    genetically significant  radiation doses  to a unit intake of
    radionuclides. The model is a greatly revised combination of two
    previously existing programs—INREM II and CAIRO,  The health risk
    from external exposures  is also estimated by the CAIRO model using
    dose rates from a separate model—-DOSFACTER.
(CTC)  CONTACTS:  R.E. Sullivan  U.S. EPA, Office of Air Noise and
    Radiation* of Rad. Programs. CSD
    Loc: Crystal  Mall #2, 1921 Jefferson-Davis H«y.
    Loc: Arlington, VA 22202
(STA)  Data Base  status: Operational/Ongoing
(DF)  Date of form completion: 02-01-83
(CAP)  Functional capabilities of model: RADRISK calculates the
    radiation dose rates and estimated fatal cancers resulting from the
    chronic inhalation or ingestion of one pico Curie/yr of
    radioisotope.  All radioactive decay products of the parent isotope
    are also considered*  Dose rates are calculated over a 110-year
    period for eighteen organs.  Cross irradiation dose rates are
    incorporated  using Monte Carlo results from the S-factor model.
    These dose rates are then combined in a  life table, using U.S.
    population mortality rates, to compensate for competing risks in
    estimating radiation health effects*  External dose rates, taken
    from DOSFACTSR, are treated similarly in the life table analysis.
    An integration of the gonadal dose rate  is also performed to obtain
    the 30-year genetically  significant dose.  Input units are pico
    Curies/yr, pico Curies or sguared centimeter pico Curies/cubed
    centimeter.  Dose rates  are given In mrad/yr for both high- and
    low-LET radiation and the life table returns estimated premature
    deaths to a cohort of 100,000 for each cancer.
(ASM)  Basic assumptions of  model: The dose rate calculational model
    incorporates  the International Commission on Radiological
    Protection (ICRP) lung and gastro-intestinal tract models and uses
    exponential retention functions and standard metabolic parameters
    for the post  blood organs.  Non- exponential retention functions
    are fitted, by means of  an auxiliary program, to an exponential
    series of up  to five terms.  The life table calculation Is based on
    a cohort of 100,000 persons whose mortality rate is that of the
    U.S. 1969-1971 population.  The additional risk, either absolute or
    relative, from radiation is then followed from birth (0 years) to
    death (110 years) of the cohort. At present, no age dependence is
    allowed in the dose rate calculation (reference man is assumed)
    although the  life table dose rate or risk may be age adjusted.
(INP)  Input to model: Input required for the dose rate portion of the
    code includes the physical (half life, energy) and metabolic
    (transfer fractions, retention functions) data for the parent and


                             1245

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                             Accession Ho.   14203000004    (cont)

    each daughter product.  In addition, a  library of cross-irradiation
    terms must be supplied*  The life table calculation, in addition to
    the time dependent dose, requires specification of the risks
    including latency and plateau periods,  associated Kith the
    radiation.  For relative risk cases, mortality rates must be
    supplied for each cancer to be considered.
COOT)  Output of model: Normal output comprises the total dose rate,
    for both high- and lou-LEf radiation, to each of 18 organs at  the
    midpoint of specified time intervals.  Options are available  for
    printing out each daughter contribution as  «ell as the
    cross-irradiation terms.  The integrated genetically significant
    dose to the gonads, along with an average value, is also output.
    The life table calculation outputs the  number of premature deaths,
    the average years of life lost for each, and the decrease in
    overall life expectancy for each cancer type as well as the totals.
(APP)  Applications of model; Model has been used to produce set  of
    dose/ risk values for a unit intake, or unit exposure, of most
    common radioisotopes.  Program has been run extensively at Oak
    Ridge Rational Laboratory.  Major external  link is S-Factor output.
CHDM)  Computational system requirements -  Hardware: Mainframe IBM
    360/370 jDisc storage 500K bytes }Printer any
(LNG)  Computational system requirements -  Language(s) used: Fortran
(OSK)  Computational system requirements; Operator Knowledge/Skills: Pro
    gramming jEngineer ing ^Health/Medical Physics
(R£F)  References - User manuals, documentation^ etc.:
    RADRISK (to be published)
    Dunning, D.E., Jr., et al., 1977.  S-FACTOR:  A computer
    Code for Calculating Dose Equivalent to a Target Organ per
    Microcurie-Cay Residence of a Radionuciide  in a Source Organ.
    Cook, J.R., et al«, 1978.  CAIRDs  a Computer Code for
    Cohort Analysis of Increased Risks of Death.
    EPA 520/4-78-012.
    Kocher, D.C., 1979.  DOSFACTER;  Dose-Rate  Conversion Factors
    for External Exposure to Photon and Electron Radiation from
    Radionuciides Occurring in Routine Releases from Nuclear
    Fuel Facilities,  ORNL/SUREG/fM-283.
    Killough, G.G., et al., 1978.  INREM-IIs  A Computer
    Implementation of Recent Models for Estimating the Cose
    Equivalent to Organs of Man from an Inhaled or Ingested
    Radionuciide.  ORML/NUREG/fM-84.
(CNM)  Contact name(s): Sullivan,R.E.
CCOR)  Contact organization; U.S. EPA, Office of Air Noise and
    Radiation, Office of Rad.
(RQR)  Responsible Organization; Office of  Air, Noise and
    Radiation.Offlee of Radiation Programs.Criteria and Standards
    Division*
                             1246

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                             Accession So.   14203000005

CDQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model: Plutonium Air Inhalation Dose
(ACR)  Acronym of Data Base or Model! PAID
(MED)  Media/Subject of Data Base or Mocielf Radiation
{IBS)  abstract/Overview of Data Base or Model! The model is designed
    to calculate dose rates and doses resulting from the acute or
    chronic lifetime Inhalation or ingestion of transuranic
    radloisotopess
(CTC)  CONTACTS: R,£. Sullivan  U.S. EPA, Office of Air, Noise, and
    Radiatio Office of Radiation Programs,  CSD
    Loc: Crystal Mall *2 1921 Jefferson-Davis Hsy»   Ph: {703) 557-9380
    Loc; Arlington, VA 22202
(STA)  Data Base status; Operational/Ongoing
CDF)  Date of form completions 02-01-83
(CAP)  Functional capabilities of model: The model is designed for
    long-live parents or daughters*  Only one daughter is permitted
    and, while gastro-intestinal tract (GIT) and blood transfer
    fractions are used, no time delay for either is included.
CASH)  Basic assumptions of model: The model is, basically, a
    combination of the International Commission on Radiological
    Protection (ICRP) lung model and a standard organ model using
    exponential retention functions.  The resulting solutions are
    analytical, requiring no numerical integration, and are obtained
    rapidly and exactly for the times desired.
{IMP)  Input to model: Input required:  The acute or chronic intake,
    deposition fractions for the lung compartments, the mass for post
    blood organs and physical and biological half-lives, transfer
    fractions, and average energies for the parent and daughter
    isotopes.
{OUT)  Output of model: Output is:  For all input times, the dose rates
    and doses for each lung compartment^ including lymph nodes, and for
    the reference organs.  The values for the trachiobronchial
    compartment due to clearance front the pulmonary are also given
    explicitly.
(APP)  Applications of model: Model has been used to calculate lung and
    organ doses for transuranic, and other  radioisotopes. Used
    primarily by ORP/EPA.
(HDW)  Computational system requirements -  Hardware: Mainframe IBM
    360/370 jPrinter any Standard model
(LifG)  Computational system requirements -  Language(s) used: Fortran
(QSK)  Computational system requirements: Operator Knowledge/Skills? Pro
    gramming
CREF)  References - User manuals, documentation, etc.:
    Sullivan, R.E., 1977.  PAID:  A Code for
    Calculating Organ Doses Due to the Inhalation and
    Ingestion of Radioactive Aerosols.  ORP/CSD-77-4.
(CNM)  Contact name(s): Sullivan,R«E.
{COR)  Contact organization: U.S. EPA, Office of Air, Noise, and
    Radiation, Office of Rad
(HOR)  Responsible Organization: Office of  Air, Noise and
    Radiation,Office of Radiation Programs.Criteria and Standards
    Division.


                             1247

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Accession No.  14203000005    (cont)
1248

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                             Accession No.   14203000006


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                             Accession No.  14203000006    (cont)

    updated food pathway model.
(INP)  Input to model: Model Inputs include;   grid size values; wind
    data; stack or area source data; radionuclide release rates,
    deposition and settling velocities, scavenging rates, and decay
    constants; arrays of meat animals, dairy  cattle, crop areas, and
    population data for each grid location, fraction of each food
    category consumed from outside the assessment area, fraction of
    that consumed food produced within the assessment area uhich is
    produced of the grid location, ingestlon, agricultural model
    parameters, ingestion rates by food category, inhalation rate;
    radionuclide decay and environmental removal rate constants soil to
    vegetation, intake to neat, and intake to milk conversion factors,
    radionuciide chain ingrowth factors, clearance class, and gastro
    intestinal absorption fraction*
(OUT)  Output of model: Printed outputs available include:  predicted
    air concentrations; dry and net deposition rates for each location
    and radionuclide; ground-level Chi/Q for  each location by
    radionuclide; agricultural and population data for each grid
    location; list of nuclide independent variables; list of computer
    totals of population, food production, and food consumption for
    assessment area; list of nucilde dependent data for each nuclide;
    individual or population weighted concentration and intake rates
    for each location by nuclide, radon-222 progeny concentration for
    each location; dose summaries (supplementary - not used for
    AIRDOS-EPA/DARTAB assessments). An unformatted file is created of
    concentration and intake data for each location to be used with
    DARTAB for a dose and risk assessment*
(APP)  Applications of model: This model provides a means for the
    radiological' assessment of radionuclides  released to the
    atmosphere.  It has been used by EPA and  the Oak Ridge National
    Laboratory for this purpose.  The model is generally used in
    conjunction with DARTAB for dose and risk assessments.
(HDW)  Computational system requirements - Hardware: Mainframe IBM 360,
    3*70 or equivalent ;Printer 132 position 1
(LNG)  Computational system requirements - Language(s) used: Fortran IV
    (H extended)
(ATP)  Air Models - Type of model: Gaussian dispersion
(OAQ)  Model reviewed and approved by OAQPS?  MO
(PMP)  Production method of primary pollutant in model: Primary
    (emitted directly into atmosphere)
(MPR)  Process used to remove pollutant from  atomosphere: Physical
CTME)  Sample averaging time used: more than 24 hours
(SRC)  Source of pollutant: 1, 3, 4
(AR)  Area where sample was collected: level  or gently rolling terrain.
(RNG)  Distance traveled by pollutant from source: less than 60 km
(REF)  References - User manuals, documentation, etc.:
    Begovich, C.L., E. C. Schlatter, S.Y. Ohr,
    K.R. Eckerman, 1930.  DARTAB:  A Program  to Combine Airborne
    Radionuclide Environmental Exposure Data  with Dosimetric and
    Health Effects Data to Generate Tabulations of Predicted Impacts.
    QRNL-5692 (To be published).
    Mo77  Moore, R.E., 1977.  The AIRDOS-II Computer Code for


                             1250

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                             Accession No.   14203000006     (cont)

    Estimating Radiation Dose to Nan from Radionuclides  in  Areas
    Surrounding Nuclear Facilities.   QRNL-5245.
    Mo79  Moore, R. E., 1979.  AIRDOS-EPAs   A Computerized
    Methodology for Estimating Environmental Concentrations and
    Dose to Man from Airborne Releases of Radionuclides.  EPA
    520/1-79-009, ORNL-5532.
    NRC77  U.S. Nuclear Regulatory Commission,  1977.   Regulatory
    Guide 1.109, Calculation  of Annual Doses to  Man from Routine
    Releases of Reactor Effluents for the Purpose of Evaluating
    Compliance with 10 CFR Part SO/  Appendix I.   (Revision  1).
    Office of Standards Developoent.
(CNM)  Contact name(s): Fields,D.
(COR)  Contact organization:  Oak Ridge National  Laboratory
(RQR)  Responsible Organization: Office of Air,  Noise and
    Radiation.Offlee of Radiation Programs.Criteria and  Standards
    Division.
                             1251

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                             accession No,   14205000903

(DQ)  Date of QuestionaireJ  12-02-82
(NAM)  Name of Data Base of  Model:  Exposure Rates Over  Uranium Bearing
    Soils As Function of  De
(ACR)  Acronym of Data Base  or Model: None
(MED)  Media/Subject of Data Base or Model: Radiation
(ABS)  abstract/Overview of  Data Base or Model; Analytical model  of
    exposure rates at ground level and at one raster above ground  from
    all nuclides of the Uranium 238 decay chain (assuming equilibrium)
    uniformly distributed throughout a slab of finite thickness
    (variable to infinity, if required) Covered with a  slab of
    overburden of finite thickness (variable to zero/ if desired);  both
    slabs being of infinite  areal extent.  The model is based on
    results obtained by means of a computer implemented technique (not
    a program) described 
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                             Accession No.   14205000903    (cont)

(APP)  Applications of model: The nodel can be applied to uranium mill
    tailings pile, with minor adjustment in the maximum exposure rate,
    including cases with radon penetration of the pile cover material*
(HDW)  Computational system requirements - Hardware: Calculator
(LNG)  Computational system requirements - Language(s) used: English
(OSK)  Computational system requirements: Operator Knowledge/Skills: kno
    ule£ge of exponentials and logarithms

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                             Accession No.  14205000904

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Generalized Model of the
    Time-Dependent Weathering  Half-Lif
(ACR)  Acronym of Data Base or Model: None
(MEO)  8edia/Subject of Data Base or Model!  Air ^Radiation
CABS)  Abstract/Overview of Data Base or Model: The Generalized Model
    of the time-dependent weathering half-life of the resuspension
    factor (for contaminants from soil) is an analytical model
    describing the changes in weathering "half-life" or "half-time" as
    a function of time and of local conditions/ represented as initial
    and final resuspension factors observed or expected at a given
    locality. The corresponding time-dependent resuspension factor is
    obtained by modifying an exponential decay function by means of the
    above time-dependent half-life.  The model was published in 1977 as
    "Generalized Model of the Time-Dependent Weathering Half-Life of
    the Resuspension Factor/™ by George V» Oksza-Chociraowski/ Technical
    Note ORP/LV-77-4.
(CTC)  CONTACTS: George V, Gksza-ChocimoHSki   U»S. EPA, Office ©f
    Radiation Programs* Las Vegas Facility
    Loc: P.Q« Box 18416     Phi (702) 798-2446
    Loc: Las Vegas/ NV 89114
(STA)  Data Base status? Operational/Ongoing

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                             Accession No«   14205000904    (cont)

    functions of time and can be graphed,  but are not  readily
    integrable except by numerical net hods*
(APP)  Applications of model; Both the models of the time-dependent
    half-time of the resuspension factor and that of the corresponding
    time- dependent resuspension factor may  be useful  criteria  in
    determining the extent to which the time dependent behavior of
    various resuspension factor models conforms to reasonable
    expectations.   Given a set of initial  and final resuspension
    factors,  the model permits estimating the time interval required  to
    approach the latter value to a degree  required by  the user.
(HDW)  Computational system requirements - Hardwares Calculator
(LNG)  Computational system requirements - Language(s) used; English
(QSK)  Computational system requirements:  Operator Knowledge/Skills:  kno
    uledge of exponential functions and logarithms
(OAQ)  Model reviewed and approved by OAQPS? NO
(PHP)  Production method of primary pollutant in models Primary
    (emitted directly into atmosphere)
(MPR)  Process used to remove pollutant from atomosphere: Negligible
    removal
(THE)  Sample averaging time used: more than 24 hours
(SRC)  Source of pollutant: multiple point (more than  10-20)
(AR)  Area where sample was collected* level or gently rolling  terrain*
(REF)  References - User manuals/, documentation, etc.:
    "Generalized Model of the Time-Dependent Weathering
    Half-Life of the Resuspension Factor," George V.
    Oksza-Chociraowski, Technical Mote QRP/LV-77-4, February 1977,
    U.S. EPA, Office of Radiation Programs,  Las Vegas  Facility,
    Las Vegas, Nevada 99114
(CKH)  Contact name(s): Oksza-Chocimouski,G.
(COR)  Contact organization: U.S. EPA, Office of Radiation Programs,
    Las Vegas Facility
(ROR)  Responsible Organization: Office of Air, Noise  and
    Radiation.Office of Radiation Programs.Office of Radiation
    Programs, Las Vegas Facility.
                             1255

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                             Accession No,   14206000904

(DQ)  Date of Quest!onaire: 12-02-82
(NAM)  Name of Data Base of Model:  Health Risk Model for Shallow Land
    Disposal of Low-Level  Ra
(ACR)  Acronym of Data Base or Model: PRESTO
(MED)  Media/subject of Data Base or Model:  Air ^Radiation ;Ground
    migration ;Water
(ABS)  Abstract/Overview of Data Base or Model: the Health Risk Model
    for Shallow Land Disposal of Lou-Level  Radioactive Waste  (PRESTO)
    is a generic simulation model which Hill analyze the potential
    environmental impact and health risk from the shallow land disposal
    of low-level radioactive waste (LLW).  The model will consider
    vaste disposal "system** which Includes  the waste disposed of at the
    facility/ the method of emplacement/ the meteorology, the
    hydrogeology, release mechanisms/ environmental pathways  from the
    facility, receptors, and will calculate the amount of radioactivity
    released over time and in space, individual and population doses,
    and individual and population health risks.  The model is to
    estimate the health risks from several  different shallow  land
    disposal methods (usually from 0 to 50  meters depth) and  be
    sufficiently flexible to take into account different hydrogeologic
    and meteorologic settings and changes in engineering design*  The
    purpose of the model is to identify changes in benefits (i.e.,
    reduction in health risk) from disposing of LLW by different
    methods to support cost- benefit analyses and development of a
    generally applicable environmental standard for the disposal of
    LLW. The model is under development now and is to be operational by
    the end of FY 1982. PRESTO also has potential application to the
    analysis of amount of contaminant released and health risk from the
    shallow land disposal of hazardous waste(s) if the appropriate
    hydrogeocheiaical and health risk data are available for the
    hazardous waste(s) of concern.
(CTC)  CONTACTS: Jon Broadway   U.S. SPA, Eastern Environmental
    Radiation Fa Loc: 1890 Federal Drive Ph: (205) 534-7615
    Loc; Montgomery, Alabama 36109
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completions 01-13-83
(CAP)  Functional capabilities of model: IS DEVELOPMENT - HOT COMPLETE
(ASM)  Basic assumptions of model:  IN DEVELOPMENT - HOT COMPLETE
(INP)  Input to model: IN DEVELOPMENT - NOT COMPLETE
(GOT)  Output of model: IN DEVELOPMENT - NOT COMPLETE
(APP)  Applications of model: PRESTO will be used by ORP to support the
    development of an environmental standard for the disposal of LLW
    and for making benefit-cost comparisons of various shallow land
    disposal method such as engineered surface storage, sanitary
    landfills, shallow land disposal, and intermediate depth  disposal.
    It could also be used by other Federal  agencies and industry check
    whether proposed or exising disposal facilities would meet EPA's
    LLW standard.  Also, it has potential application to analysis of
    health risk from shallow land disposal  of hazardous wastes if
    appropriate hydrogeocheaical and health risk data is available for
    the hazardous waste of concern.
(HDW)  Computational system requirements -  Hardware: Mainframe IBM 370


                             1256

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                             Accession No.   14206000904    (cont)

    System

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                             Accession No.   14401200001

(DQ)  Date of Questionaire:  12-02-82
(MAM)  Name of Data Base of Model:  Cash Flow Model (Railroads)
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model:  Noise
(ABS)  Abstract/Overview of Data Base  or Model:  The cash fIon model
    estimates the present discounted value  of each firm's future cash
    flow stream.   To determine this the net north of each railroad firm
    is subtracted from the ? present value  of future cash flow.  The
    model «as developed by contractor  In order to perform the economic
    analysis for  the railroad regulation*  To date the model is  in the
    hands of the  contractor and not available for EPA's  use. The model
    Mas implicitly developed through contract funding*  At a later date
    the model may become available  to  EPA.
(CTC)  CONTACTS:  Robert C. Rose  U.S. EPA,  Office of Policy and
    Evaluation,^  Office of Air, Noise  and Radiatlonjf Loc: 401 M  Street,
    S.H., Washington, D.C.   20460   PH: (202) 382-7758
(STA)  Data Base  status: Operational/  Ongoing
(DF)  Date of form completion: 12-13-82
(CAP)  Functional capabilities of model: Two versions of the model
    exist.  They  support different  revisions of proposed railroad
    regulations.
(ASM)  Basic assumptions of model;  N/A
(HDW)  Computational system requirements -  Hardware: Mainframe Not yet
    determined ;Dlsc storage Not yet determine
(LNG)  Computational system requirements -  Language(s) used: Fortran
(RSF)  References - User manuals, documentation, etc.:
    None to date.
(CNM)  Contact name(s): Robert C. Rose
(COR)  Contact organization: U.S. EPA, Office of Policy  and
    Evaluation,^  Office of Air, Noise  and Radiation, 401 M St.,  S.U.,
    Washington, D.C.   20460  (202) 382-7758
(ROR)  Responsible Organization: Office of  Air,  Noise and
    Radiation.Office of Policy and  Evaluation.
                             1258

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                             Accession No.   14401200002

(DQ)  Date of Questlonalre: 12-02-82
(HIM)  Name of Data Base of Model:  Econometric Impact Model
(ACR)  Acronym of Data Base or Model: None
(MED)  Media/Subject of Data Base or Model:  Noise
(ABS)  Abstract/Overview of Data Base or Model:  The Econometric Impact
    Model provides generalized econometric  forecasts of a specified
    industry. It has been applied to light-duty trucks.  Forecasts
    Price/ Output/ Employment/ and Energy effect associated with noise
    impact emissions.  Based on two modules.   The affected industry
    module uses econometric analysis and the module for the rest of the
    economy uses input-output analysis.
(CTC)  CONTACTS: Robert C. Rose   U.S. EPA,  Office of Policy and
    Evaluation/ Office of Air/ Nois Loc: 401 M Street/ S.to.,
    Washington/ D.C.   20460   (202) 382-7758$
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 12-13-82
(CAP)  Functional capabilities of model: See "Model Overview" section.
(ASM)  Basic assumptions of model:  See "Model Overview" section.
(INP)  Input to model: Input data are data  on sectors of industry/
    elasticities/ and trend projections.  The model uses 1967
    input-output table of U.S. economy/ energy and employment models/
    and final demand model.
(OUT)  Output of model: The model's output  is changes in Output/
    Employment/ and Energy consumption by the industrial sector.
(APP)  Applications of model: The model was developed and is operated
    by Research Triangle Institute.
(HDW)  Computational system requirements -  Hardware: Mainframe IBM 360
(LNG)  Computational system requirements -  Language(s) used: Fortran
(QSK)  Computational system requirements: Operator Knowledge/Skills: Pro
    gramming ;economics
(REF)  References - User manuals/ documentation/ etc.:
    References not yet available.
(CJJM)  Contact name(s): Robert C. Rose
(COR)  Contact organization: U.S. EPA/ Office of Policy and Evaluation/
    Office of Air/ Noise/ Radiation 401 M Street, S.W./ Washington/
    D.C.   20460   (202) 382-7758
(RQR)  Responsible Organization: Office of  Air/ Noise and
    Radiation.Office of Policy and Evaluation.
                             1259

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                             Accession Mo.   14401200003

(DQ)  Date of Questionaires 12-02-82
(NAM)  Name of Data Base of Model: Decision Model
(ACR)  Acronym of Data Base or Model:  RDM
(MED)  Redia/Subject of Data Base or Model; Noise
(ABS)  Abstract/Overview of Data Base or Model:  The Decision Model
    permits analysis of the benefits and costs of noise regulation.  It
    elucidates prominant regulatory options according to time-phased
    implementations/ uniform annuallzed costs/ average annual
    individual benefit metrics by baseline  impacts change in input and
    output from the "Health and Welfare Model."
(CTC)  CONTACTS: Robert C. Rose   U.S. EPA, Office of Policy and
    Evaluation/ Office of Air, Hois Loc: 401 M Street, S.M.,
    Washington, D.C.  20460  Ph: (202) 382-7758
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 12-13-82
(CAP)  Functional capabilities of model: The Decision Model computes
    all possible combinations of a given product's subcategories,
    applicable standards, and lead-times, and calculates costs and
    benefits for each such combination,  it then drans a curve
    combining a sub-set of these combinations similar to Pareto
    optimality conditions.
(ASM)  Basic assumptions of model: Contact  Mr. Rose for a description
    of the basic assumptions of this model.
(INP)  Input to model: Machine Type Growth  Rates for Equipment Types
    Noise Levels - pre and post - Regulation D&M Costs/Yr.  of
    Timestream Prices Equipment Life Cycles Capital Investment Costs
    Plant Closings Unemployment Output from EPA Health and Melfare
    Models Population data of Regulated Models and Costs of Regulation
(OUT)  Output of model: Benefit sunwary measures (cumulative benefit,
    average benefit, discounted benefits),  Option Cost measures,
    (cumulative cost, average cost, discounted costs). Manufacturer
    cost summary measures (capital Investment, average and cumulative,
    discounted), and Unemployment summary measures (cumulative,
    average).
(APP)  Applications of model: The model has been used in noise
    regulation review to bring to management's attention cost effective
    options in a product regulation.
(HDW)  Computational system requirements -  Hardwares Mainframe IBM 370
    ^Printer any model
(LNG)  Computational system requirements -  Language(s) used: Fortran
(OSK)  Computational system requirements; Operator Knowledge/Skills: Pro
    graaiming
(REF)  References - User manuals, documentation, etc«s
    Contact Mr. Rose for references describing
    the model.
(CNM)  Contact narae(s): Robert C. Rose
(COR)  Contact organization: U.S. EPA, Office of Policy and Evaluation,
    Office of Air, Noise, and Radiation,f 401 M Street, S*H«,
    Washington, D.C.   20460   (202) 382-7758
(ROR)  Responsible Organization: Office of  Air,  Noise and
    Radiation.Office of Policy and Evaluation.
                             1260

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                             Accession No.   14401200004

(DQ)  Date of Questionalre:  12-02-82
(NAM)  Name of Data Base of Model;  Strategy Model
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model: Noise
(ABS)  Abstract/Overview of Data Base or Model: Determines the minimum
    cost mix of regulations to achieve level of reduction in noise or
    gives a cost limit to achieve the maximum reduction of noise.
(CTC)  CONTACTS: Robert C.  Rose   U.S. EPA, Office of Policy and
    Evaluation, Office of Air, Nois 401 M Street, S.M., Washington/
    D.C.   20460  (202) 382-7758
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 12-13-82
(CAP)  Functional capabilities of model: The Strategy Model prioritizes
    the cost effectiveness  of a given number of products being
    considered for noise regulations.
(ASM)  Basic assumptions of model:  Contact  Mr. Rose for a description
    of the basic assumptions of this model.
(IHP)  Input to model: Costs of regulation  of different types of
    machines at various noise levels and the benefits of regulation are
    the inputs to this model*
(DOT)  Output of model; Listing of different regulations to achieve a
    certain fixed level of  noise reduction  are the outputs of the  model
(APP)  Applications of model: The model has been used in noise
    regulation review to bring to management's attention cost effective
    options in a set of products regulations.
(HDW)  Computational system requirements -  Hardware: Mainframe IBM 370
    >Printer any model
(LNG)  Computational system requirements -  Language(s) used: Fortran
(OSK)  Computational system requirements: Operator Knowledge/Skills: Pro
    grarawing ;economics
(REF)  References - User manuals, documentation, etc*:
    Contact Mr. Rose for references describing
    the model.
(CNM)  Contact naiue(s): Robert C* Rose
(COR)  Contact organization: U.S. EPA, Office of Policy & Evaluation,
    Office of Air, Noise and Radiation* 401 M Street, S.U., Washington,
    D.C.   20460  (202) 382-7758
(RQK)  Responsible Organization: Office of  Air, Noise and
    Radiation.Office of Policy and Evaluation.
                             1261

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                             Accession No.   14401200005

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Kama of Data Base of Model:  Pricing  Model
(ACR)  Acronym of Data Base or Model:  TPRICES
(MED)  Media/Subject of Data Base or Model:  Noise
(ABS)  Abstract/Overview of Data Base or Model:  Determines price
    increase of projected sales of a given  number of products or
    sub-products needed to cover increased  cost  of noise regulation
    over some long period of time*
CCTC)  CONTACTS: Robert C. Rose   U.S. EPA,  Office of Policy &
    Evaluation Office of Air, Noise a 401 M Street, S.H», Washington,
    D.C.   20360  Ph: (202) 382-7758
(STA)  Data Base status; Operational/Ongoing
(DF)  Date of form completion: 12-13-82
(CAP)  Functional capabilities of model: The Pricing Model gives  to
    management the increased prices of products  to be regulated so that
    the economic impacts of the regulations can  be measured prior to
    promulgation.
(ASM)  Basic assumptions of nodel:  Contact  Mr. Rose for a description
    of the basic assumptions of this model.
(IJ3P)  Input to model: Inputs to the model  are baseline production,
    component cost, development cost,  testing cost and enforcement cost.
(OUT)  Output of model! Original and revised sales, price increase, and
    percent price increases are produced by the  model.
(APP)  Applications of model: The model has  been used in noise
    regulation review to bring to management's attention cost effective
    options to proposed regulations*
(HDW)  Computational system requirements -  Hardware: Mainframe IBM
    370/168 ^Printer any model
(LNG)  Computational system requirements -  Language(s)  used: Fortran
(OSK)  Computational system requirements; Operator Knowledge/Skills: Pro
    granting }economics
(REF)  References - User manuals, documentation, etc.:
    Contact Mr. Rose for references describing
    the model.
(CUM)  Contact name(s): Rose,R*
(COR)  Contact organization: 0»S. EPA, Office of Policy & Evaluation,
    Office of Air, Noise and Radiation, 401  M Street, S.W., Washington,
    D.C.   20460  (202) 382-7758
(ROR)  Responsible Organization: Office of  Air,  Noise and
    Radiation.Office of Policy and Evaluation.
                             1262

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                             Accession Ho.   14402000001

(DQ)  Date of Questionaire: 12-02-82
(NAM)  fame of Data Base of Model:  Truck Mounted Solid Waste Compactors
    Health and Welfare  Mod
(ACR)  ftcronym of Data Base or Models TMEW2
(MED)  Media/Subject of Data Base or Model: Noise
(ABS)  Abstract/Overview of Data Base or Model:  Computes health and
    welfare impacts of noise of truck-mounted solid waste compactors
    (TMSWC) for baseline condition and selected  regulatory options;
    computes health and welfare benefits to the  year 2000 in terms  of
    noise impact reduction for the various  options.  Impacts analyzed
    include:
    1) Generalized adverse response (annoyance),, 2) Indoor and
    outdoor speech interference, 3) Sleep disturbance, and 4) Sleep
    awakening.
(CTC)  CONTACTS: R. C. Rose     U.S. EPA, Office of Air/ Noise and
    Radiation Loc: 401 M Street S.W., Washington, D.C.   20460 Phs
    (202) 382-7758
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 12-15-82
(CAP)  Functional capabilities of model: Note: No user's or
    programmer's documentation available.  (See  References).
(ASM)  Basic assumptions of model:  The fractional impact functions  used
    are those accepted as of mid-1977 and described in the Regulatory
    Analysis (EPA-5SO/9-79-257).
CINP)  Input to model: The data base built  into  the model include:
    1) Population distribution by five types of  residential areas,
    2) Population distribution of the 3 types of compactors,
    3) Frequency and duration of refuse collection activities for
    the 5 types of residential areas, 4) Typical tine-history of noise
    for a refuse collection cycle, and 5) Sound  propagation function
    for the various types of residential areas.  Energy average noise
    level (L*s for each regulatory option considered, and Effective dates.
(OUT)  Output of model: Health and welfare  baseline impact and Impacts
    under various regulatory options (including  impact reductions).
(APP)  Applications of model: Used for calculation (computation) of
    health and welfare impact of refuse vehicle  noise in regulatory
    analysis of truck-mounted solid waste compactor noise regulation.
(HDW)  Computational system requirements -  Hardware: Mainframe IBM
    370/168
CLNG)  Computational system requirements -  Language(s) used: Fortran IV
(QS3O  Computational system requirements: Operator Knowledge/Skills: Eng
    ineering
(REF)  References - User manuals, documentation, etc.:
    Truck-mounted Solid Waste Compactor Regulatory
    Analysis (EPA-550/9-79-257) and GE-Tempo draft final report
    on Health and Welfare Analysis of TMSWC.
(CNM)  Contact narae(s): Rose,R.C.
(COR)  Contact organization: U.S. EPA, Office of Air, Noise and
    Radiation     Ph: (202) 382-7758
(ROR)  Responsible Organizations Office of  Air,  Noise and
    Radiation.Office of Policy and Evaluation.


                             1263

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Accession No.   14402000001    (cont)
1264

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                             Accession No.   14402000002

 2) Equivalent sound level 3) Population exposed, 4)
    Level weighted population (LWP), 5) Sound propagation distance to
    criteria levels, and 6)  Relative Change  in Impact (Relative Lap,
    LWP<2>/LWP<1» change in impact
(APFJ  Applications of model: Ho outside use allowed unless designated
    I i  Gfficfe 3f  Air, Noise  and Radiation.
(HDW)  Computational system  requirements -Hardware: Mainframe IBM
    370/168
(LNG)  Computational system  requirements - Language(s) used: Fortran
(QSK)  Computational system requirements: Operator Knowledge/Skills: Eng
    ineering
(REF)  References - User manuals, documentation, etc.:
    No references are available.
(CNM)  Contact name(s): Rose, R.C.
(COR)  Contact organization: U.S. EPA, Office of  Air, Noise and
    Radiation Control   22202   Ph: (202) 382-77
(ROR)  Responsible Organization: Office of Air, Noise and


                             1265

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                         Accession No.   14402000002    (cont)
Radiation,Office of Policy and Evaluation.
                         1266

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                             Accession No.   14402000003

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model;  Railroad Health and Welfare Model
(ACR)  Acronym of Data Base or Model:  RMSA  79N3
(MED)  Media/Subject of Data Base or Model: Noise
(ABS)  Abstract/Overview of Data Base or Model: The model estimates
    national noise exposure due to  railroad operations.
(CTC)  CONTACTS:  R. C. Rose   U.S.  EPA, Office of Air, Noise and
    Radiation Loc: 401 M St., S.W., Washington, D.C.  20460 Ph: (202)
    382-7758
(STA)  Data Base  status: Operational/Ongoing
CDF)  Date of form completion: 12-15-82
(CAP)  Functional capabilities of model: There are no provisions for
    tine stream variations.
(ASM)  Basic assumptions of model:  Refer to "Description of Railroad
    Health and Welfare Model1* for basic assumptions of the model.
(IMP)  Input to model: Input to the model consists of 1) Engine noise
    from locomotives and switch engines, 2) Retarder squeal, 3)
    Refrigerator  car noise, 4) Car-coupling noise, 5) Load cell
    testing, repair facilities, and locomotive service area noise,
    6) ftheel/rall noise, and 7} Horns, address systems.
COOT)  Output of  model: National assessment of level weighted
    population (LWP) and describes  annualized benefits (health and
    welfare, rather than economic)  of decreased noise production.
(APP)  Applications of model: Model has been used for Internal
    EPA-office of Noise Abatement and Control decision-making purposes.
(HDW)  Computational system requirements - Hardware: Mainframe IBM  370
    ;Disc storage one unit ^Printer any model
(LNG)  Computational system requirements - Language(s) used: ANSI
    Fortran
(REF)  References - User manuals, documentation, etc.:
    1.  Description of Railroad Health and Welfare
    Model
    2.  Users* Manual for the Railroad Health and Welfare Model
    3.  Programmer's Manual for the Railroad Health and Welfare
    Model
(CNN)  Contact name(s): Rose, R.C.
(COR)  Contact organization: U.S. EPA, Office of Air, Noise and
    Radiation Control Ph: (202) 382-7758
(ROR)  Responsible Organization: Office of Air, Noise and
    Radiation.Office of Policy and Evaluation*
                             1267

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                             Accession No.  14402000004

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Kame of Data Base of Model: Truck transport Refrigeration Unit
    Health and He.I fare •''Model
(ACS)  Acronym of Data &ase or Models TTRU
(MED)  Media/Subject of Data Base or Model: Noise
(ABS)  Abstract/Overview of Data Base or Model: The model computes
    health and welfare impacts of noise of Truck Transport
    Refrigeration Units (TTRU) for baseline condition and selected
    regulatory options-  Impacts analyzed include:  1) Generalized
    adverse response (annoyance),
    2} Indoor and outdoor speech interference/ 3) Sleep disturbance/
    and 4) Sleep awakening.
(CTC)  CONTACTS: R. C. Rose     U.S. EPA, Office of Air, Noise and
    Radiation Loc: 401 H Street S,W., Washington, D.C.  20460 22202
    Ph: (202) 382-7758
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of forte completion; 12-15-82
(CAP)  Functional capabilities of model: See "Model Overview1* for
    functional capabilities of the model.
CASH)  Basic assumptionsof model: The fractional impact functions used
    are those accepted as of mid-1977, and are described in the draft
    final report on TTRtf by GE-Tenipo.
(OUT)  Output of model: The data bases built into the model include:
    1) Population distribution by 5 types of residential areas, 2)
    Distribution %f the population of various types of TTRU,
    3) Usage patterns and noise histories of TTRU in various types
    of residential areas, and 4) Sound propagation function for the
    various types of residential areas* Characteristic noise level of
    each type of TTRUY Regulatory noise limits, and Effective dates for
    each option. OUTPUT: The model's output consists of the health and
    welfare baseline impact and impacts under various regulatory
    options (including impact reductions).
(APP)  Applications of model: the model is used in the analysis of
    health and welfare impact of truck transport refrigeration unit
    noise in pre-regulatory studies*
(HDM)  Computational system requirements - Hardware: Mainframe IBM
   ^370/168 •"••>'- '- '^•••'-  -'"";;;  '*-•"-'•
(LNG)  Computational system requirements - Language(s) used: Fortran IV
(OSK)  Computationalsystemrequirements: Operator Knowledge/Skills: Eng
    ineering--  '-^'-- '•'"'••• •;'_"'•'• ' ••• •'••>-  ;;-'•  •••••••••       _ • -
(REF)  References - user manuals, documentation/ etc.:
    Truck transport Refrigejrktion Unit Background
    Document (draft> and GE-Temp
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                             Accession No.   14402000005

(DQ)  Date of Questionalre: 12-02-82
CNAM)  Name of Data Base of Model:  Lawnmower Health and Welfare Model
UCR)  Acronym of Data Base or Model: LAWN  1 & LAKH 2
(MED)  Media/Subject of Data Base or Model: Nolle
(ABS)  Abstract/Over view of Data Base or Model: This model consists of
    two programs which are interrelated. Latin 1 sets up a data file
    containing input data required by Lawn  2.  Lavn 2 calculates and
    displays hearing loss, speech interference/ annoyance/ and impacts
    for a given year/ regulatory option or  bast line/ and Machine type.
(CTC)  CONTACTS: R. c. Rose   U.S. EPA/ Office of Air/ Noise and
    Radiation Loc: 401 M St./ S.V.,  Washington/ D.C.   20460 22202
    Phs (202~Y) 382-7758

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                             Accession No.   14402000005    (cent)

(LNG)  Computational system requirements -  Language(s)  used:  Fortran IV
(DSK)  Computational systere requirements: Operator Knowledge/Skills: Eng
    ineering
(REF)  References * User manuals,  documentation,  etc.:
    Assessment of Environmental Noise Impact of
    Noise Regulations for Foyer Lawnmowers.  Booz Allen Draft
    Final Report/ EPA Contract No. 68-01-3239,  March 1978.
(CHM)  Contact name(s):  Rose,R.C.
(COR)  Contact organization: U»S.  EPA, Office of  Air, Noise,  and
    Radiation control 22202   Ph:  <202) 382-7758
(ROR)  Responsible Organization: Office of  Air, Noise and
    Radiation.Qffice of Policy and Evaluation.
                             1270

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                             Accession No.   14402000006

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Hame of Data Base of Model:  Air Conditioner Health and Welfare
    Model
(ACR)  Acronym of Data Base or Model!  ACO Thru ACS
(MED)  tfedia/Subject of Data Base or Models  Hoise
CABS)  Abstract/overview of Data Base  or Model: This model is made up
    of 9 interrelated programs.  The output  irons one is used as input
    for another.  AGO through AC4 generate annoyance and hearing loss
    impects. ACS  through ACS generate  sleep  and speech interference
    impacts.
(CTC)  CONTACTS:  R. C. Rose   O.S.  EPA, Office of Air, Noise and
    Radiation Loc: 401 M Street S.H.,  Washington, D.C.   20460 22202
    Ph: (202) 382-7753
(STA)  Data Base  status: Operational/Ongoing
(BF)  Dete of form completion: 12-15-82
(CAP)  Functional capabilities of model: Interrelationship of programs
    needs to be understood from report cited below.  Execution of
    program is self-explanatory.  Program listing and explanatory
    comments given in Appendix of report cited in "Reference" section.
(ASM)  Basic assumptions of model:  See model references for full
    explanation of assumptions of the  model.
(IMP)  Input to model: Model input is:  1) Room correction factor, 2)
    Sound power level, 3) Distance to  source in feet, 4} Distance
    between building fronts, 5) Room constant for courtyards, 6)
    Location factor, 7) Choice of impacts,  8) Years, and 9) Regulatory
    option
(OUT)  Output of  model: The outputs of the model are:  1) Environmental
    Noise Impact  (ESI), 2) Ambient or  background level 3) National EMI,
    4) Population by Distribution of Levels, and 5) National Noise
    Impact Index  (LMP).
(APP)  Applications of model: This model is  used in pre-regulatory
    studies of air conditioner noise,  determining baseline health and
    welfare impact and impact reductions for various regulatory
    scenarios.
(HDV)  Computational system requirements - Hardware: Mainframe Data
    General Nova  2/10
(LUG)  Computational system requirements - Language(s) used: Fortran IV
(OSK)  Computational system requirements: Operator Knowledge/Skills: Eng
    ineering
(REF)  References - User manuals, documentation, etc.:
    Hoise Impact  Analysis of Room and  Residential Air
    Conditioners.  Cambridge Collaborative Draft Final Report
    EPA Contract  So. 68-0 No. 68-01-4411, July 1978.
(CNM)  Contact narae(s): Rose,R.C.
(COR)  Contact organization: U.S. EPA, Office of KoiseAir, Noise and
    Radiation Control 22202   Ph: (202) 382-
(ROR)  Responsible Organization: Office of Air, Noise and
    Radiation.Office of Policy and Evaluation.
                             1271

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                             Accession No.  14402000007

(DQ)  Date of questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Chain Saw Health and Welfare
(ACR)  Acronym of Data Base or Model: Hone
(MED)  Media/Subject of Data Base or Model:  Noise
CABS)  Abstract/Overview of Data Base or Model:  The Chain Saw Health
    and Welfare Model calculates individual  noise exposures/ cumulative
    exposure/ fractional impacts and other related quantities.
(CTC)  CONTACTS: Robert C. Rose   U.S. EPA,  Office of Air,  Noise and
    Radiation Loci 401 M St., S.H., Washington,  D.C.   20460 22202
    Ph: (202) 382-7758
(STA)  Data Base status! Operational/Ongoing
(DF)  Date of form completion: 12-15-82
(CAP)  Functional capabilities of model: The model and documentation of
    all of its functional capabilities is not complete.
(ASK)  Basic assumptions of model:  The fractional Impact functions are
    those accepted as of mid-1978,  as outlined in the levels document
    and other publications by the Scientific Assistants staff.
(INP)  Input to model: Data bases includes
    1.  Population trends of chain satis by types
    2«  Estimates of chain saw usage by type
    3.  Estimates of chain San noise emissions
    4.  Sound propagation functions for areas in uhich chain saus
    are used.
    5.  Fractional impact functions
    inputs are;  Regulatory scenarios (noise level limits and effective
    dates).
(OUT)  Output of model: Output consists of health and welfare impact of
    chain saw noise for baseline condition and various regulatory
    scenarios; also, reductions in impact for the regulatory scenarios.
(APP)  Applications of model: The model is used in pre-regulatory
    studies of chain saw noise, to provide estimates of health and
    welfare impacts and benefits.
(HDW)  Computational system requirements - Hardware: Mainframe IBM 370
(LNG)  Computational system requirements - Language(s) used: Fortran
(QSK)  Computational system requirements; Operator Knovledge/Skills: Eng
    ineerinq
(REF)  References - user manuals, documentation, etc.:
    References are still under development

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                             Accession Ho.   14402000008

(DQ)  Date of Questionaire:  12-02-82
(NAM)  lame of Data Base of Model: Consumer Product Health and Welfare
    Model
(ACR)  Acronym of Data Base or Model:  CONSUMER PRODUCT MODEL
CMSD)  Media/Subject of Data Base or Models Noise
CABS)  Abstract/Overview of Data Base or Model: The Consumer Product
    Health and Welfare Model calculates individual noise exposures/
    cumulative exposure, fractional impacts, and other related
    quantities,
(CfC)  CONTACTS: R. C. Rose   U.S, EPA, Office of Air, Noise and
    Radiation Locs 401 M St., S.W., Washington, D.C.   20460   Ph:
    (202) 382-7758
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 12-15-82
(CAP)  Functional capabilities of model: Documentation vill be complete
    by the end of FY 81,
(ASM)  Basic assumptions of model: See reference for documentation of
    basic assumptions.
(INP)  Input to model: The input to the model is the product noise
    emissions. Use data, Noise isolation data between product use and
    affected populations/ and description of persons affected.
COUf)  Output of model: This model predicts sound levels at listener's
    position.
(APP)  Applications of model: The model is used in pre-regulatory
    studies of possible noise standards and/or noise labeling
    regulations for consumer products, determining health and welfare
    impact of noise of various products - one of the factors in
    selecting priorities for labeling.
(HDM)  Computational system requirements - Hardware: Mainframe IBM 370
(LUG)  Computational system requirements - Language(s) used: Fortran IV
(OSK)  Computational system requirements: Operator Knowledge/Skills: Eng
    ineering
(REF)  References - User manuals, documentation, etc.:
    Consumer Product Noise:  A Basis for Regulation.
    Weissler, Zerdy, and Revoile, national Bureau of Standards,
    SBSIR 74-606, Nov., 1974.
(CNM)  Contact narae(s): Rose,R.C.
(COR)  Contact organization; U.S. EPA, Office of Air, Noise and
    Radiation  (202) 382-7758
(ROR)  Responsible Organization: Office of Air, Noise and
    Radiation.Office of Policy and Evaluation.
                             1273

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                             Accession No.   14402000009

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Kane of Data Base of Model: Urban High Density Traffic Noise
    Impact Model
(ACR)  Acronym of Data Base or Model: CATNIP
(MED)  Media/Subject of Data Base or Model:  Noise
(ABS)  Abstract/Over view of Data Base or Model:  The Urban High Density
    traffic Noise Impact model developed to  assess the effects of urban
    traffic noise on people.  Present or future  vehicle noise
    regulatory scenarios can be specified to evaluate the potential
    benefits of such regulations on the noise climate in densely
    populated areas.
(CTC)  CONTACTS: R, C. Rose   U.S. EPA, Office of Air, Noise and
    Radiation Loc: 401 M St., S.W,, Washington,  D.C.   20460 Ph: (202)
    382-7758
(STA)  Data Base status: Operational/Ongoing
(OF)  Date of form completion: 12-15-82
(CAP)  Functional capabilities of model: See "Model Overview11 section
    above and documentation
(ASM)  Basic assumptions of model: See reference given for description
    of Rodel's basic assumptions
(INP)  Input to model: Input to the model consists of:  1) Baseline
    vehicular noise levels by vehicle and by 4 operating modes,
    acceleration/ deceleration, cruise (various  speeds), and idle, 2)
    Regulatory scenario; 3) Fraction of time each vehicle spends in
    each operating mode (DVP); 4) traffic volume for each vehicle class
    by time period (DVP); 5) Vehicle speeds  for  each vehicle type
    (DVP); 6) Street widths; 7) Block length (DVP); 8) Sidewalk width
    (DVP); 9) Building configuration; 10) Presence or absence of
    building opposite (DVP); 11) Average building height; 12) Optional
    enclosed streetway; 13) Pedestrian flow volume; and 14) Population
    inside buildings.  DVP means default value provides.
(OUT)  Output of model: The model's output consists of the equivalent
    noise level (Leg) at a defined point and urban traffic noise levels
    and resultant health and welfare Impact  (Lwp).
(APP)  Applications of model: Model is available for state and local
    government use.
(HDS)  Computational system requirements - Hardware: Mainframe
    Unspecified
(LNG)  Computational system requirements - Language(s) used: Fortran IV
(OSK)  Computational system requirements; Operator Knowledge/Skills: Eng
    ineering
(REF)  References - User manuals, documentation, etc.:
    Development of an Urban High Density Traffic Noise
    Impact Model, Volume I;  Model Description and Computation
    Procedures.
(CNM)  Contact name(s); Rose,R.C.
(COR)  Contact organization: U.S. EPA, Office of Air, Noise and
    Radiation, 401 M Street S.H., Washington, D.C
(ROR)  Responsible Organization: Office of Air,  Noise and
    Radiation.Office of Policy and Evaluation*
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                             Accession No.   14402000010

(DQ)  Date of Questionaire: 12-02-82
(HAM)  Name of Data Base of Model: National Roadway Traffic Noise
    Exposure Model
(ACR)  Acronym of Data Base or Model: None
(MED)  Media/Subject of Data Base or Model: Noise
(ABS)  Abstract/Overview of Data Base or Model:  The model
    deterrainistically estimates extent and severity of noise exposure
    in the U.S. due to motor vehicles operating on the national roadway
    network.  The model is used primarily for assessing the national
    impact of various noise control strategies/  including source
    control.  The structure of the model is based on extensive roadway
    data, demographic data, and vehicle use and noise data*  Tine
    series projections are also calculated on all tine dependent
    variables where data are available.
(CTC)  CONTACTS: Robert C. Rose  U.S. EPA Office of Policy and
    Evaluation, Office of Air, Noise and Radiation, Loc: 401 M Street,
    S.H., Washington, D.C.   20460 Phs (202) 382-7758
(STA)  Data Base status: Operational/Ongoing
(OF)  Date of form completion: 12-15-82
(CAP)  Functional capabilities of model: See items 1 and 3.  The
    accuracy of the model is indeterminate since the basic output Is
    noise impacts on a national scale.
(ASH)  Basic assumptions of model: Model is based on the equivalent
    sound level methodology and calculates various impact metrics.  The
    model calculates general adverse response impacts (energy—
    summation) as well as single event impacts (independent sources
    assumption).  Propagation losses are on the usual excess
    atteneration approach with values assigned by site type is hard/
    soft, or built up urban site types.
(IMP)  Input to model: Inputs are vehicle, roaduay, and population
    data. Years for scenario, vehicle noise levels by vehicle type,
    speed, and mode of driving, population projection, and vehicle
    fleet forecast.
(OUT)  Output of model: Outputs of the model are plots of exposure
    contours and health and welfare metrics for general adverse
    responses and single event responses.  Number of level-weighted
    people, relative exposure in percent, noise impact index, number of
    people exposed by area type and roadway type in dB bands, and LHP
    by roadway type, and area type in dB bands per year of time-stream.
(APP)  Applications of model: Dsed for the health and welfare analyses
    to examine the effectiveness of selected noise regulatory options.
(HDH)  Computational system requirements - Hardware: Mainframe IBM 370
(LNG)  Computational system requirements - Language(s) used: ANSI
    Fortran IV
(OSK)  Computational system requirements: Operator Knowledge/Skills: Pro
    gramming
(REF)  References - User manuals, documentation, etc.:
    Model documentation is being prepared, none generally
    available now.
(CUM)  Contact name(s): Rose/R.C.
(COR)  Contact organization: U.S. EPA Office of NAir, Noise and
    Radiation 401 M Street, S.W., Washington, D.C


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                             Accession No.   14402000010     (cont)

(ROR)  Responsible Organization:  Office of  Air,  Noise  and
    Radiation,Office of Policy and Evaluation.
                             1276

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                             Accession No.   14403000106

(DQ)  Date of Questionaire: 12-02-82
(NAN)  Name of Data Base of Model:  Workplace Noise Evaluation Model
(ACR)  Acronym of Data Base or Model: None
(MED)  Media/Subject of Data Base or Model:  Noise
(ABS)  Abstract/Over view of Data Base or Model:  Model assesses the
    occupational noise impact in industrial  factory spaces.   Model
    determines the daily noise dose of exposure for each class of
    production workers, and determines the contribution of each machine
    to this dose. It will Identify the benefits to be gained in terms
    of reduced exposure from reducing noise  levels of one or more
    machines.
(CTC)  CONTACTS: Robert C.  Rose  U.S. EPA, Office of Policy  and
    Evaluation, Loc: 401 M Street, S.W., Washington, D.C,   20460
    Ph:# (202) 382-7758 Office of Air, Noise and Radiation
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 12-13-82
(CAP)  Functional capabilities of model; A  weighted sound level and
    statistical confidence limits are calculated.
(ASM)  Basic assumptions of model: . Worker  activities can be
    characterized by a common work assignment schedule. * Noise levels
    generated by similar equipment is normally distributed.  • Primary
    contributor to noise exposure is the machine being operated by
    operator in question. . Secondary sources are grouped into the
    background level with appropriate weighting factors. . Statistics
    used to describe noise and work assignments worker job assignments
    Number of workers Machinery noise levels at operator locations
(OUT)  Output of model: The output of the model consists of: .
    DSHA-personnel noise exposure by job description and industry .
    Distribution of noise exposure by job description i.e. mean & worst
    case • Rank ordering of noisy machines by contribution to noise
    exposure . Calculation of minimum noise  reduction requirements to
    meet 05HA . Same for EPA except impact  applies rather than exposure.
(APP)  Applications of model: Model is in final review*  The model will
    support assessment and implementation of noise control programs at
    specific plants and Health and Welfare  analyses by Federal
    Regulatory and Enforcement Agencies.
(HOW)  Computational system requirements - Hardware: Mainframe IBM 360
(LNG)  Computational system requirements -  Language(s) used: Fortran IV
(OSK)  Computational system requirements: Operator Knowledge/Skills: Eng
    ineering
(CNM)  Contact name(s): Robert C. Rose
(COR)  Contact organization: U.S. EPA, Office of Policy & Evaluation,
    Office of Air, Noise and Radiation, 401  M Street, S.W.,  Washington,
    D.C.   20460   (202) 382-7758
(ROR)  Responsible Organization: Office of  Air, Noise and
    Radiation.Office of Policy and Evaluation.
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                             Accession No*   14403000107

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model: Urban Traffic Noise Prediction Model
(ACR)  Acronym of Data Base or Model2 None
(NED)  Media/Subject of Data Base or Model: Noise
(ABS)  Abstract/Overview of Data Base or Model:  Model based on City of
    Portland blank configurations/ classes  of vehicles operating in the
    city/ and related noise sources.  Model has  been verified through a
    noise survey.
(CTC)  CONTACTS: Robert C. Rose   U.S. EPA, Office of Policy &
    Evaluation Office of Air, Noise and Radiation, Loc: 401 M Street,
    S.W. Washington, D.C.   20460   Ph:# (202) 382-7758
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of fora completion: 12-13-82
(CAP)  Functional capabilities of model: Model based upon many concepts
    and elements.  May be categorized as: Urban Geometry - nodel
    consists of square city blocks* Vehicle Noise Levels - vehicle
    categories are collapsed to four classes? namely automobiles,
    trucks, buses and motorcycles. Urban Noise Propagation - variety of
    noise propagation algorithms are used to compute the attenuation or
    reverberant buildup of noise from each  noise source street.
(ASM)  Basic assumptions of model: Model based on City of Portland
    blank configurations, classes of vehicles operating in the city and
    related noise sources.  Model has been  verified through a noise
    survey.
(INP)  Input to model:
    1) Urban geometry: a) Block size, b) Sidewalk widths, c) Street
    widths, d) Building setback distances,  e) Road grades and direction
    of grade, f) Building height, g) Covers over streets, h) Central
    block building configuration, and i) Non-central block building
    configuration; 2) Reference vehicle noise levels: a) Baseline
    vehicular noise levels for 4 vehicle classes and 4 operating modes,
    b) Fraction of time each vehicle spends in each operational mode,
    c) Traffic volume for each vehicle class, d) Vehicle speeds for
    each vehicle class and e) Road grade
(OUT)  Output of model: Output of the model is the day-night sound
    level, the equivalent sound levels at day and night, and the level
    of sound exceeded 33% of the time at 12-16 assumed points.
(APP)  Applications of model: Model has been used by Dept. of Housing &
    Urban Development and City of Portland  to a) determine noise
    contours for downtown redevelopment, b) laying out public
    transportation corridors, and c) specific site determination for
    HDD funding.
(HDV)  Computational system requirements -  Hardware: Mainframe no
    specific model required
(LNG)  Computational system requirements - Language(s) used: Fortran IV
(REF)  References - User manuals, documentation, etc.:
    Develop of an Urban Traffic Noise Prediction Model
    Hyle Research Report SR 79-14 —June 1979
(CNM)  Contact name(s): Robert C. Rose
(COR)  Contact organization: U.S. EPA, Office of Policy & Evaluation,
    Office of Air, Noise and Radiation, 401 M street, S.W., Mashington,
    D.C.   20460  (202) 382-7758


                             1278

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                             Accession No.   14403000107    (cont)

(ROR)  Responsible Organization: Office of  Air, Noise and
    Radiation.Office of Policy and Evaluation.
                             1279

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                             Accession No.   14403000108

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Ten City Noise Impact Model
(ACR)  Acronym of Data Base or Model: TECNIM
CMED)  Media/Subject of Data Base or Model: Soise
(ABS)  Abstract/Over view of Data Base or Model:  The stodel calculates
    the distribution of
    Lee highway noise in ten cities of various size.  Outputs of this
    program are numbers of people exposed in each city in the baseline
    year 1973.  These serve as data inputs to REGIM/ the Regulation
    Impact Model, which projects national totals including regulations
    and future growth.
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 12-13-82
(CAP)  Functional capabilities of model: Road network in each city is
    divided into straight segments, each with uniform traffic volume
    and mix.  Roads are either lou speed (35 raph) or high speed (55
    mph).  Only automobiles and trucks are considered.  Traffic inputs
    are average dally traffic and percentage of trucks. Population
    densities are people per square mile.  Outputs are in numbers of
    people.  Accuracy dependent on input data. Highway model is
    accurate to 12 decibles.
(ASM)  Basic assumptions of model:  Roads are modeled as single lane
    straight segments.  Excess attenuation modeled by a power lav.
    Uniform population density is assumed along each road segment; may
    be different on each side of road.  A simplified model for stop and
    go behavior near traffic lights is used.
(INP)  Input to model: User inputs are changes to vehicle levels at a
    result of regulations.  Baseline levels/ road data, population
    data/ etc. are built into the model.
(OUT)  Output of model: Tables of population exposed to Decibel
    equivalency in the ranges 55-60 decibels/ 60-65 decibels/ 65-70
    decibels/ 70-75 decibels and greater than 75 decibels in each city.
    This file is input to REGIM/ the Regulation Impact Model.
(APP)  Applications of model: Used together with REGIM and HINCSAM to
    project traffic noise exposure through the year 2000 for a variety
    of regulatory scenarios.  Included existing and potential EPA
    regulations/ and trade-off analyses between driveline vs/ tire
    noise and automobiles vs trucks.
(HDW)  Computational system requirements - Hardware: Mainframe IBM 370
    ?Disc storage 3 drums ^Printer line prints
(LNG)  Computational system requirements - Language(s) used: Fortran
(OSK)  Computational system requirements: Operator Knowledge/Skills: Pro
    gramming Engineering ;Full knowledge of the analysis this model
    was a support tool/ not a user oriented end product.  Robert C.
    Rose, U.S. EPA, Office of Policy & Evaluation/ Office of Air, Noise
    and Radiation/ 401 H Street, S.W., Washington, D.C.   20460  (202)
    382-7758
(REF)  References - User manuals, documentation/ etc.:
    "National Exposure to Highway Noise Through the
    Year 2000" tfyle Research Report WR77-13, July 1979.  Prepared
    for EPA/OUAC.
(ROR)  Responsible Organization: Office of Air, Noise and


                             1280

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                         Accession No.  14403000108    (cont)
Radiation.Office of Policy and Evaluation.
                        1281

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                             Accession No.   14403000109

(DQ)  Date of Questionaire:  12-02-82
(8AM)  Name of Data Base of Model:  Hlghaay  Noise Control Strategy
    Assessment Model
(ACR)  Acronym of Data Base or Model:  HINCSAM

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                             Accession No.   14403000110

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Regulation Impact Model
(ACR)  Acronym of Data Base or Model! REGIM
(MED)  Media/Subject of Data Base or Model: Noise
(ABS)  Abs tract/ Over view of Data Base or Model:  The model projects
    ten-city data prepared by
    totals.  Future growth/ by city size, is based on census department
    projections.  User specifies a year and noise level changes for
    automobiles and trucks at high and low  speeds.  Program returns
    total population exposed to decibel level (day-night average) (Ldn)
    between 60-65 decibels, 65-70 decibels, 70-75 decibels, and above
    75 decibels.
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 12-13-82
(CAP)  Functional capabilities of model: The model can handle effective
    vehicle level changes from *3 to 150 decibels (automobiles) and  +3
    to -16 decibels (trucks), years from 1974 to 2000, Inputs are in
    decibels, outputs in numbers of people.
(ASM)  Basic assumptions of model; Projects ten city data to nation, as
    described in cited reference.  Assumes  87/13 day/night traffic
    split.  Inputs are cases to be handled  - year and vehicle noise
    level changes re: baseline.  Noise level change inputs are outputs
    from HINCSAM
(OUT)  Output of model: A table of exposures is the model's output
(APP)  Applications of model: Used together with TECMIM and HIHCSAM  to
    project traffic noise exposure through  the year 2000 for a variety
    of regulatory scenarios.  Included existing and potential EPA
    regulations, and trade-off analyses between driveline vs. tire
    noise and automobiles vs. trucks*
(HDW)  Computational system requirements -  Hardware: Mainframe IBM 370
    ;Disc storage 3 drums ^Printer line printe
(LNG)  computational system requirements -  Language(s) used: Fortran
(OSK)  Computational system requirements: Operator Knowledge/Skills: Kno
    wledge of meaning of inputs and outputs; not designed  fo Robert C.
    Rose, U.S. EPA, Office of Policy and Evaluation, Office of Air,
    Noise and Radiation,  401 M Street, S.W., Washington, D.C,   20460
    Ph: (202) 382-7758
(REF)  References - User manuals, documentation, etc.:
    "National Exposure to Highway Noise Through the Year
    2000" Wyle Research Report VE 77-13, July 1979.  Prepared for
    SPA/ON AC
(ROR)  Responsible Organization: Office of Air, Noise and
    Radiation.Office of Policy and evaluation.
                             1283

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                             Accession No.   14403000111

(DQ)  Date of Questionaire: 12-02*82
(NAM)  Name of Data Base of Model: Carcass  Vibration Noise Model for
    Tires
(ACR)  Acronya of Data Base or Model: None
(MED)  Media/Subject of Data Base or Model:  Noise
(ABS)  Abstract/Overview of Data Base or Model: The node! is able to
    determine the noise caused by carcass vibration of heavy duty truck
    tires.
(CfC)  CONTACTS: Robert C. Rose   O.S. EPA/  Office of Policy and
    Evaluation/ Office of Air/ Noise and Radiation/ 401 M Street,/ S.M./
    Washington, D.C.   20460 Ph: (202) 382-7758
(STA)  Data Base status: Operational/Ongoing
(OF)  Date of form completion: 12-13-82
(CAP)  Functional capabilities of model: The model's primary function
    is to determine the effects carcass vibrations of heavy duty truck
    tires have on the noise output of the tire.
(ASM)  Basic assumptions of model: None identified to date.
(INP)  Input to model: Onder development
(OUT)  Output of model: Onder development
(HDW)  Computational system requirements -  Uarduare: Mainframe POP 11
    ;Disc storage not known as yet ?Magnetic ta Printer any model
(LNG)  Computational system requirements -  Language(s) used: Fortran
(OSK)  Computational system requirements: Operator Knowledge/Skills: Eng
    ineering
(REF)  References - User manuals/ documentation/ etc*:
    Under development
(CNM)  Contact name(s): Robert C* Rose
(COR)  Contact organization: O.S. EPA/ Office of Policy and Evaluation/
    Office of Air/ Noise and Radiation/ 401 M Street/ S.W., Washington/
    D.C. 20460  (202) 382-7758

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                             Accession So.   14403000112

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Highway  Construction Noise
    Evaluation and Mitigation
(ftCR)  Acronym of Data Base  or Model:  HIHCOM
(MED)  Media/Subject of Data Base or Model: Industry/economic
CABS)  Abstract/Overview of  Data Base or Model:  The model allows the
    determination of noise levels arising from highway construction
    activities.  It is site  specific,  that  is applying to one given
    construction site.  It is a tool for assessing the potential noise
    impact from construction activities, and for supporting the
    development and implementation of abatement measures.
    Specifically, the relative importance of a given piece of equipment
    to the noise levels at a boundary can be determined.  Also, noise
    reduction benefits to be gained from various control measures,  such
    as equipment substitution and movement, or installation of
    barriers, can be readily calculated.
(CTC)  CONTACTS: Robert C. Rose,  U.S. EPA, Office of Policy and
    Evaluation, Office of Air, Noise and Radiation.  401 M Street,
    S.N., Washington, B.C.  20460 Phi  (202) 382-7758

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Accession No.  14403000112    (cont)
1286

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                             Accession Ho.   14403000113

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Air Pumping Hoise Model for  Tires
(ACR)  Acronym of Data Base  or Model: None
(MSD)  Media/Subject of Data Base or Model:  Noise
(A3S)  Abstract/Overview of  Data Base or Model:  The model's prioaiy use
    is to determine the noise caused by air  pumping for heavy duty
    truck tires.
(CTC)  CONTACTS:  Robert C. Rose   U.S, EPA,  Office of Policy and
    Evaluation, Office of Air, Noise and Radiaion,  401 M Street, S.H.,
    Washington, D.C.  20460  (202) 382-7758
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completions 12-13-82
(CAP)  Functional capabilities of model: The model's function is to
    determine uhat effect air pumping of a heavy duty truck tire has on
    the noise output of the  tire
(ASM)  Basic assumptions of  model: None identified to date.
(INP)  Input to model: Under development
(OUT)  Output of model: Under developaent
(HDW)  Computational system  requirements - Hardware: Mainframe  POP 11
    ;Dlsc storage not known  as yet ;Magnetic ta Printer any model
(LNG)  Computational system  requirements - Language(s) used: Fortran
(OSK)  Computational system  requirements: Operator Knowledge/Skills: Eng
    Ineerlng
(KEF)  References - User manuals, documentation/ etc.:
    Documentation to be developed
(CUM)  Contact name(s): Robert C. Rose
(COR)  Contact organization: U.S. EPA, Office of Policy and Evaluation,
    Office of Air, Noise and Radiation.  401 M Street, S.W.,
    Washington, D.C.  20460   (202) 382-7758
(ROR)  Responsible Organization: Office of Air,  Noise and
    Radiation.Office of Policy and Evaluation.
          Preceding page blank
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                             Accession No.  14403000114


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                             Accession No.   14403100509

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Computer  Assisted Procedure  for  the
    Design and Evaluation of Hasteuater Treatment Facilities
(ACR)  Acronym of Data Base  or Model:  CAPDST
(MgD)  Media/Subject of Data Base or Model:  Mater
(A8S)  Abstract/Overview of  Data Base or Model:  The CAPDET  program
    represents a "state-of-the- art" technique for preparation  of
    facilities planning level cost estimates.   The basic objective  of
    CAPDET is to provide a screening tool capable of simultaneously
    designing a number of aasteaater treatment system alternatives  to
    meet specified effluent  criteria and then  ranking these
    alternatives on tha basis of their cost.  Conveyance costs  are  not
    considered.  The CAPDET  program Hill design four different
    wastewater treatment schemes.  A treatment scheme consists  of
    blocks on the liquid line/ the secondary sludge line/ and the
    primary sludge line.  A  block is a treatment process location*   The
    CAPDST user specifies or selects the treatment process  desired  for
    each block.  Op to ten alternative treatment processes  may  be  used
    in each block or treatment process location*
(CTC)  CONTACTS: Wen H. Huang   U.S. EPA (SfH-595) Facility  Requirements
    Division   LQC: 401 M Street./ S.W., Washington/ D,C. 20460   PH:
    (202) 382-7288
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 02-16-83
(CAP)  Functional capabilities of model: The program contains a library
    of unit processes which  may be selected  by the user and placed  in
    one of the blocks to treat a waste stream.  The CAPDET  model
    contains 79 liquid stream processes and  14 sludge stream processes.
    Three land treatment alternatives as well  as many of the advanced
    wastewater treatment (AMT) processes are included.  CAPDET  also
    contains a separate set  of treatment processes particularly
    applicable to small flows of under 500/000 gallons per  day/ such as
    package plants and lagoon upgrading processes.  In addition/ a  user
    specified process allows the user to add innovative/ alternative/
    or other processes not included in the current CAPDET library.
(ASM)  Basic assumptions of  model: This program allows the  user to
    specify various types of unit processes  for the treatment of
    wastewaters.  A treatment process consists of one or more of these
    unit processes.  The combination of unit processes into treatment
    processes is accomplished automatically  by the CAPDET program.
    Treatment processes may  then be assembled in sequence to form  a
    treatment scheme.  A maximum of four treatment schemes  may  be
    specified.  Each scheme  contains a liquid line/ a secondary sludge
    scheme.  Each block may  contain up to 10 alternative treatment
    processes.  This program is designed for planning tool  and  used for
    selecting a best planning approach.
(INP)  Input to model: Input to the CAPDET program is the description
    of the wastewater characteristics.  This input must include at
    least the average design flow rate.  The program contains built-in
    or "default" data for all other wasteuater characteristics.  These
    are mid-range values normally found in domestic wastewaters and
    include biochemical oxygen demand/ suspended solids concentration/


                             1289

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                             Accession No.   14403100509    (cont)

    temperature,  concentrations of nutrients,  and maximum and minimum
    flow rates as ratios of the average flou.   The CAPDET user needs  to
    specify only the wastewater characteristics which are different
    than the default values.   The program will assign the default
    values to all the wastewater characteristics remaining unspecified.
{OUT)  Output of model:  THO types of output may be obtained.   The  first
    output lists the cost data for up to the 100 most cost-effective
    trains.  The user nay also specify which of these trains  (or all  if
    he chooses) he desires to investigate further.  The second output
    gives detailed unit process design information for all chosen
    trains. Optionally,  this output may include the quantities of
    materials required for construction.
(APP)  Applications of model: This model provides a means for analysis
    of the sizing of unit process units and material quantities.
    Further the cost estimate Hill be made based on material  quantity
    and sizing of unit processes.  The purpose of this analysis Is to
    aid in selecting the most cost effective processes and the most
    cost effective processes and the most cost effective process trains
    in facility planning processes.  CAPDET has been widely used by
    U.S. governmental agencies, states, facility owners, engineering
    communities and general public.
(HDW)  Computational system requirements - Hardware: Mainframe IBM 370
    and comparable computers / Disc Storage (or tape) 400,000 words
    core storage. ; Magnetic Tape Storage (or  disk) ; 132 Position Line
    Printer ; Card Reader/Punch or Tape/Disc (input)
(LNG)  Computational system requirements - Language(s) used:  FORTRAN
(OSK)  Computational system requirements: Operator Knowledge/Skills:  Com
    puter Programming >  Engineering
(CON)  Processes and constituents Included in  model: Temperature ;
    Biological Effects ; Hydraulics ; Quality  Processes
(CPL)  Complexity level of model: Steady State Mass Balance ; Simplified
(REF)  References - User manuals, documentation, etc.: 1.  CAPDET
    Program, User's Guide and 2.  CAPDET Design Manual
(CNM)  Contact name(s):  Wen H. Huang
(COR)  Contact organization:  U.S. EPA (WH-595) Facility Requirements
    Division
(ROR)  Responsible Organization: Office of Hater.Office of Water
    Programs Operations.Facilities Requirements Division.
                             1290

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                             Accession No.   14404000909

(DQ)  Date of Questionaire: 12-02-82
(STATUS)  Status of entry:  Inactive
(NAM)  Name of Data Base of Model:  Acoustic Impact Prediction Model:
    Forest Facility Noise  Mod
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model: Noise
(ABS)  Abstract/Overview of Data Base or Model:  This model is an
    engineering and psychological model to  aid in laying out forest
    facilities as a function of noise-producing elements*
(CTC)  CONTACTS: Robert C.  Rose   U.S. EPA/ Office of Policy and
    (ANR-445)  401 M St./ S.W., Washington, D.C.  20460 Ph:   (202)
    382-7758
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-14-83
(CAP)  Functional capabilities of model: The model is based on a
    detectability model developed for the military.  The accuracy of
    the model is heavily dependent on the input which may be accurately
    measured on generally estimated.
(ASM)  Basic assumptions of model:  The model is based on personal
    annoyance. The detectability and annoyance factors are considered
    in utilizing the model  results in laying out a forest/park for  its
    many appropriate uses.
(INP)  Input to model: . Imput data required: .  sound source location •
    listener atmospheric temp . mean atmospheric temp . mean elevation
    . mean wind direction . sound source description . background sound
    source description . highest barrier: - height/ distance .
    predominant vegetation  type . recreation opportunity . mean Hind
    angle . day/night . mean relative humidity . exp. sky coner . wind
    speed
(OUT)  Output of model: The output product of this model is the
    detectability and annoyance levels of noise in Decibles (d).
(APP)  Applications of model: Used by the 0.S. Park Service/ Forest
    Service/ State and local parks to lay out a forest/park area that
    each visitor can find the type of noise environment they effect.
(HDW)  Computational system requirements -  Hardware: Calculator
(REF)  References - User manuals/ documentation/ etc.:
    Predicting Impact of Noise on Recreatlonists -
    Project Record - April  1980 - USDA - Forest Service - 8023 -
    1202     1202
(CNM)  Contact name(s): Rose/R.
(COR)  Contact organization: U.S. EPA/ Office of "Policy and
    Evaluation/ ONAR/ (202) 382-7758.
(RQR)  Responsible Organization: Office of Air/ Noise and
    Radiation.Office of Policy and Evaluation.
                             1291

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                             Accession Ho.   14404000910

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Noise Optimization Models
(ACR)  Acronym of Data Base  or Model: NOIZOP
(MED)  Media/Subject of Data Base or Model:  Noise
(ABS)  Abstract/Overview of  Data Base or Model:  NOIZQP provides a tool
    for rational and objective decision making in policy and  regulatory
    activity concerning a community's environmental acoustic  noise from
    all sources. The objective is to distribute  a given  hypothetical
    sum of money in such a uay as to obtain the  greatest possible
    benefit in terms of reduction of the number  of people adversely
    affected by environmental noise.
(CTC)  CONTACTS: R. Rose    U.S. SPA, Office of  Policy and Evaluation,
    QANRf Loc: 401 H Street, S.H.,  Washington, D.C.,   20460
(STA)  Data Base statust Operational/Ongoing
(DF)  Date of form completion: 01-14-83
(CAP)  Functional capabilities of model: The noise levels in  the
    community are defined by the metric:  Equivalent  Sound Level,
    L.  This level is the energy average of  the momentary
    A-weighted levels measured over a specified  period of time.  The
    A-weight equivalent sound levels assumed in  this  manual for Zero
    Impact (Mil (see par. 3)) = 0 by land use and for day use are:
    Single Family Dwelling = 54 Multi-Family Duelling  = 59 Commercial
    = 59 Industrial             = 70 Schools                = 50
    Hospitals             = 50 The sound levels for  night use are 8
    decibels less for single family duellings, 13 for multi-family
    duellings and same for all the other type of land use (schools are
    not applicable).
(ASM)  Basic assumptions of  model:  The inherent  non-linearity of the
    mathematics that describe the basic problem  of this  model presents
    the use of well developed methods of linear  algebra.  A
    sophisticated searching  algorithm is utilized in  the program to
    find the most cost-effective Hay of distributing  the given sura of
    money among the alternative noise abatement  measures. A quantity  is
    defined that rates the quality of the environnental  noise climate
    of a community.  This quantity is called the Noise Impact Index
    (Nil).  It is derived by? Nil - Number of people  in  a Given
    Community Impacted by Noise Total number of  people in the community
    The Noise Climate quality improves Hith declining Nil.  In
    operations research language, the Mil is the objective function
    (i«e«, it is the single  function to be minimized  by  the judicious
    distribution of a given  sura of money).   In choosing  the best set  of
    abatement measures NOIZQP spends money in increments! amounts until
    a preset maximum is reached*
(IMP)  Input to model: Input to the model includes:  community is
    divided into cells (land use which is homogeneous In terras of land
    use, population and noise level); cell population, cost to relocate
    cells, floor area of building in each cell,  noise measurements for
    up to 20 sources (obtained from Acoustical Survey),  countermeasures
    (alternative noise control measures) - costs and decibel  reductions
    possible, and land use areas affects; and a  total societal budget
    for the noise program.
(OUT)  Output of model: The  main output is a list of  total expenditures


                             1292

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                             Accession  No.   14404000910     (cont)

    recommended for each abatement measure;  these are displayed as  the
    optimization process proceeds in discrete steps.   The total
    expenditure is broken down by costs to  the local  government and to
    the rest of the society.   Accompanying  this cost  breakout  is the
    associated Noise Impact Index (Nil)/  which is a measure of the
    adverse effects of noise on people  in the connunity.  The Nil is
    decreased in an optimal fashion as  more  and more  money is  allocated
    to the countermeasure.  The associated  degree of  implementation for
    each abatement measure is also given.  Each abatement measure must
    be evaluated for political/ social  or legal feasibility.
(APP)  Applications of model: Model has been used for Allentown/ Pa.
    It Kill be used for Kansas City/ Mo.  (data collection phase has
    started).  The model is used in a research and demonstration
    project for developing a community  noise assessment  program/ which
    is called the Quiet Community Program.   A necessary  linkage to  this
    model is the Community Noise Assessment Program's Acoustical Survey
    and Social Science Workbook (Attltudinal survey).
(HDM)  Computational system requirements -  Hardware:  Mainframe Univac
    1110 ;Disc storage ;Magnetic tape storage o
(LNG)  Computational system requirements -  Language(s) used: Fortran
(QSK)  Computational system requirements: Operator Knowledge/Skills: Pro
    grarcming
(REF)  References - User manuals/ documentation/ etc.:
    Strategy Guidelines (NOIZOP)
    Community Noise Countermeasure/
    Cost Effectiveness/ Optimization
    Computer Program (HOIZIP)/ Vol. 1
    Volume 2 of above
    Volume 3 of above.
(CNK)  Contact name(s): Rose/R.
(COR)  Contact organization: U.S. EPA/  Office of 'Policy and
    Evaluation, OANR
(ROR)  Responsible Organization: Office of  Air/ Noise and
    Radiation.Office of Policy and Evaluation.
                             1293

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                             Accession Ho.   14404000912

(DQ)  Date of Questionalre:  12-02-82
(NAM)  Kame of Data Base of  Model:  Human Activity Profiles
(ACR)  Acronym of Data Base  or Model: None
(MED)  Nedia/Subject of Data Base or Model:  Noise
(ABS)  Abstract/Overview of  Data Base or Model:  Proper evaluation of
    existing environmental noise problems and their subsequent
    alleviation and control  requires a detailed knowledge of people's
    exposure to noise. Individuals  are constantly exposed to a wide
    range of fixed or moving noise  environments which are largely
    dependent on their lifestyle or human activity cycles*  Thus* in
    order to develop any useful daily personal noise exposure model,
    detailed data on the human activity profile of the average person
    is required.  In response to this need,  this sodel encompasses a
    flexible and easily-operated computer program that allows a
    thorough investigation and analysis of  human activity profiles from
    t«o large existing data  bases in terms  of the relationships between
    people's primary activities, secondary  activities, location,
    activity duration, and presence of human company throughout the day.
(CTC)  CONTACTS: Robert Rose   U.S, EPA, Office of Policy and
    Evaluation, Office of Air, Noise and Radiation  401 M Street, S.W.,
    Washington, D.C.  20460    Ph: (202) 382-7758
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-14-83
(CAP)  Functional capabilities of model: The computer program allous
    six main types of analyses to be performed on any selected sample
    of respondents from the  two data bases.   The six types of analyses
    or output modules which  can be  performed on any specified sample to
    produce desired output are: 1)  correlation of activity and location
    for any specified company situation,
    2) analysis of time duration of activity for any specified
    location and company, 3) analysis of time duration with location
    for any specified activity and company,  4) analysis of time
    sequence and activity (time profile) for any specified location and
    company, 5) analysis of relationship between primary and secondary
    activities for any specified location and company,
    6) analysis of activity sequence for any specified location and
    company.  The program also provides a systematic means of
    integrating this unique data base on human activity so that it will
    be available for any additional analyses not encompassed by these
    six categories.
(ASM)  Basic assumptions of model:  The program was designed to allow
    maximum flexibility in the selection, manipulation and outputting
    of data from the data base.  For example, flexibility in selection
    of data exists in the choice of data base, sanple within selected
    data base, type of analysis to be performed, and desired
    activities, locations, and company to be analyzed. Limitations of
    the program are those limitations and constraints Inherent in the
    data base as discussed in the user manual.
(INP)  Input to model: The two human activity data bases used in this
    program are 1) a national study conducted for 1244 respondents over
    a 1-day period in 1965,  and 2)  a similar study conducted for 2500
    individuals (respondents and their spouses over a 4-day period in


                             1294

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                             accession No.   14404000912    (cont)

    1975.  These data bases are described in detail within the user
    manual.  The only Inputs required by the user is the specification
    of the type of analyses desired and level of detail.
(OUT)  Output of model; Six forms of tabular output at level of detail
    as specified by the user.
(App)  Applications of model: He are only now in the process of
    finalizing the set up on the EPA computer system.
(HDM)  Computational system requirements - Hardware: Mainframe IBM 370
    /Disc storage not yet known /Printer any m
(LNG)  Computational system requirements - Language(s) used: Fortran

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                             Accession No.   14504000911

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  the Plume Visibility  Model
(ACR)  Acronym of Data Base  or Model:  PLOVUE
(MED)  Media/Subject of Data Base or Model;  Air
(ABS)  Abstract/Overview of  Data Base  or Model: The design objective  of
    the model is to calculate visual range  reduction and atmospheric
    discoloration caused by  the plumes consisting of primary
    participates/ nitrogen oxides,  and sulfur oxides emitted  by  a
    single emissions source.  The model is  designed to predict the
    impacts of a single emissions source on visibility in Federal Class
    I areas*   The model is a refinement of  the plume model developed  in
    1978 publications EPA450/378110a,  b, c  available from UTIS and  PB
    293116 set.  PLUVUE predicts the transport/ atmospheric diffusion/
    chemical  conversion/ optical effects and surface deposition  of
    point source emissions.  The model  uses  the Gaussian  formulation for
    transport and dispersion.  The spectral radiance (intensity  of
    light) at 39 visible wavelengths is calculated for views  with and
    without the plume; the changes in  the spectrum are used to
    calculate various parameters that  predict the perceptibility of the
    plume and contrast reduction caused by  the plume. PLUVUE performs
    plume optics calculations in a plume-based mode and  an observer-
    based mode.
(CTC)  CONTACTS: James Dicke    EPA/Office  of Air Quality Planning  and
    Stand Loc: RTP, NC 27711 Ph: (919) 541-5681
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-06-83
(CAP)  Functional capabilities of model: The model calculates four
    perception parameters useful for predicting visual impact:
    reduction in visual range/ contrast of  the plume against  a viewing
    background at the 0.55 micrometer  wavelength/ the blue-red ratio
    (color shift) of the plume/ and the color change perception
    parameter triangle E (L*a*b*).  Visibility impairment is caused  by
    changes in light intensity as a result  of light scattering and
    absorption in the atmosphere*  Impairment can be qualified once the
    spectral  light intensities or radiance  has been calculated for  the
    specific lines of sight of an observer  at a given location in an
    atmosphere with known aerosol and  pollutant concentrations.  PLUVUE
    is a near-source plume visibility  model/ e.g./ within 200 km of the
    source.
(ASM)  Basic assumptions of model:  PLOVUE is based on Gaussian
    atmospheric dispersion assumptions/ contains Eriggs* plume rise
    equations/ allows for surface deposition during the  day and
    contains  atmospheric chemistry modules  that allow for conversion  of
    nitric oxide to nitrogen dioxide and sulfur dioxide  to sulfate
    aerosol*   scattering and absorption properties are calculated for
    particles and gases.  For nitrogen dioxide the absorption at a
    particular wavelength is a tabulated function multiplied  by  the
    concentration.  The effect of particle  size on the wavelength
    dependence of the scattering coefficient and the phase function is
    calculated and the Mie equations are also solved. Calculation  of
    light intensity follows from the radiative transfer  equation.
(ISP)  Input to model: The input data  required for PLUVUE include:  wind


                             1296

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                             Accession No.   14504000911    (cont)

    speed aloft/  stability category,  lapse  rate nixing depth, relative
    humidity, sulfur dioxide, nitrous oxides and particuiate emission
    rates, stack  gas parameters,  stack gas  oxygen content,  ambient
    temperature,  ambient nitrous oxides,  nitrogen dioxide,  ozone and
    sulfur dioxide concentrations, properties of background and emitted
    aerosols in two size modes,  background  visual range,  deposition
    velocities for sulfur dioxide, nitrous  oxides, coarse mode and
    accumulation  mode aerosol,  UTM coordinates and elevation of the
    source, UTM coordinates and elevation of the observer location.

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                             Accession  No.   14504000911     (cont)

(ROR)  Responsible Organization:  Office of  Air,  Noise  and
    Radiation.Office  of  Quality Planning and Standards.Monitoring  and
    Data Analysis  Division.
                             1298

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                             Accession No.   14504000924

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Modified Rollback
(ACR)  Acronym of Data Base or Model:  ROLLBACK
(MED)  Media/Subject of Data Base or Model: Air
CABS)  Abstract/overview of Data Base or Model: The Modified Rollback
    Model is a computerized air quality simulation model that has been
    used for assessing the relative air quality impacts of alternative
    control strategies which are national in scope*  Air quality
    projections for carbon monoxide and nitrogen oxides are made  using
    the Morris-deHevers modified rollback equations.  Ozone projections
    are made using the Empirical Kinetic Modeling Approach (EKMA)
    standard isopleth diagram.  Emission inventory projections are made
    using data on icobile and stationary source emission factors,  VMT
    growth rates, and stationary source retirement rates, growth  rates
    and control efficiencies.
(CTC)  CONTACTS: Warren P. Freas     U.S. EPA, Office of Air Quality
    Plannin Standards, Monitoring and Data Analysis Division
    Loc: MD-14 Research Triangle Park Ph: (919) 541-5522
    Loc: North Carolina 27711
(STA)  Data Base status: Operational/Ongoing
(Dp)  Date of form completion; 01-06-83
(CAP)  Functional capabilities of model: Modified Rollback can be used
    to estimate changes in carbon monoxide (CO) and annual average
    nitrogen dioxide (N0<2» levels due to assumed changes in CO  and
    NQ emissions, respectively.   Changes in ozone air quality  levels
    are estimated using the standard isopleth diagram of EKMA.  These
    procedures are best used to compare the relative air quality
    impacts of alternative area source control strategies.  The model
    requires county level, or larger,  emissions Inventories by major
    source category.
(ASM)  Basic assumptions of model:  The simple rollback model is based
    on the assumption that the air  quality concentration of a pollutant
    at s point is equal to the background concentration of that
    pollutant and some linear function of the total emission rate of
    that pollutant which influences the concentration at that point.
    Modified Rollback uses the deNevers-Morris equations to account for
    differing rates of growth/reduction in emissions from a number of
    source categories*  The model assumes that the spatial and temporal
    distributions of emissions and the meteorological conditions  remain
    constant between the base year and the projection year.  However,
    for ozone projections, the model uses the standard EKMA isopleths
    described in Reference 3.
(INP)  Input to model: For each study area, the user must furnish data
    on the base year air quality level; background concentration;
    emissions, growth and retirement rates, and control efficiencies
    for each major mobile and stationary source category and strategy
    scenario.  The air quality data is typically obtained from the
    Storage and Retrieval of Aerumetric Data Base (SAROAD) and the
    emissions data from the National Emissions Data System (NEDS).
(OUT)  Output of model: Output reports consist of individual source
    area emissions inventories for the base year and each projection
    year/strategy combination and air quality summary reports. The air


                             1299

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                             Accession No.   14504000924    (cont)

    quality summary reports, grouped by strategy, display the base year
    air quality concentration and projection year air quality levels
    and expected number of violations of the National Ambient Air
    Quality Standards (NAAQS) for each study area.
(APP)  Applications of model: The Modified  Rollback Model has been used
    by EPA to evaluate the relative air quality impacts of revisions to
    the automotive emission standards*  Other applications include the
    regulatory analyses conducted in association with the review of the
    ambient air quality standards.
(HDW)  Computational system requirements -  Hardware: Mainframe IBM 360,
    Univac 1108 ^Printer 132 character line p Card reader/punch
(LNG)  Computational system requirements -  Language(s) used:  Fortran
(OSK)  Computational system requirements: Operator Knowledge/Skills: Pro
    graaming ^Engineering
(OAQ)  Kodel reviewed and approved by OAQPS? 5TES
(PHP)  Production method of primary pollutant in model: Primary
    (emitted directly into atmosphere)
CMPR)  Process used to remove pollutant from atomosphere: Negligible
    removal
(IMS)  Sample averaging time used: less than 24 hours ;nore than 24
    hours
(SRC)  Source of poilutantJ multiple point, limited area
CAR)  Area where sample was collected: level or gently rolling terrain.
(RNG)  Distance traveled by pollutant from  source: iess than  60 km
(REF)  References - User manuals, documentation, etc.:
    N. defjevers and J.R. Morris,  "Rollback  Modeling:
    Basic and Modified," Journal  of the Air Pollution Control
    Association, Vol. 25, September 1975.
    J. H» Wilson, Jr., "Methodologies for Projecting the Relative
    Air Quality impacts of Emission Control Strategies," Presented
    at the 71st Annual APCA Meeting, Houston, fexas, June 25-29,
    1978.
    Uses, Limitations and Technical Basis of Procedures for
    Quantifying Relationships Between Photochemical Qxidants  and
    Precursors, EPA-450/2-77-G21a, U.S. SPA, Research Triangle
    Park, ncf November 1977.
CCNM)  Contact name{s): Freas,W.P.
(COR)  Contact organization; U.S. EPA, Office of Air Quality  Planning
    and Standards, Moni
(RQR)  Responsible Organization:  Office of  Air, Noise and
    Radiation.Office of Quality Planning and Standards.Monitoring  and
    Data Analysis Division.
                             1300

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                             Accession No.   14504000925

(DQ)  Date of Questionaire:  12-02-82
(HAM)  Name of Data Base of  Model:  Kinetics Model and Ozone  Isopleth
    Plotting Package
(ACR)  Acronym of Data Base  or Model: OZIPP
(MED)  Media/Subject of Data Base or Model: Air
CABS)  Abstract/Overview of  Data Base or Model: The Kinetics Model  and
    Ozone Isopleth Plotting  Package (OZIPP) computer program can be
    used to simulate ozone formation in urban atmospheres.   QZIPP
    calculates maximum one-hour average ozone concentrations given  a
    set of input assumptions about  initial precursor concentrations/
    light intensity, dilution, diurnal and spatial emission  patterns,
    transported pollutant concentrations, and reactivity of  the
    precursor mix.  The results of  multiple simulations are  used to
    produce an ozone isopleth diagram tailored to particular cities.
    Such a diagram relates maximum  ozone concentrations to
    concentrations of nonmethane organic compounds and oxides of
    nitrogen, and can be used in the Empirical Kinetic Modeling
    Approach (EKMA) to calculate emission reductions necessary to
    achieve air quality standards for photochemical oxidants.
(CTC)  CONTACTS: Gerald L. Gipson    U.S. EPA/ Office of Air Quality
    Plannin Standards, Monitoring & Data Analysis Division
    Loc: MD-14 Research Triangle Park Ph: (919) 541-5522
    Loc: North Carolina
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-06-83
(CAP)  Functional capabilities of model: The major function  of the
    OZIPP Model is to generate an ozone isopleth diagram representative
    of a particular city.  The diagram explicitly depicts maximum*
    one-hour average concentrations of ozone occurring within or
    downwind of a city as a function of precursor levels existing
    ifithin the city in the early morning.  These diagrams are based on
    mathematical simulations of ozone formation occurring during a  day.
    As such, the model is limited in applicability to ozone  problems
    within or immediately downwind of urban areas and cannot consider
    the following:  (1) rural ozone problems; (23 ozone problems
    occurring in the early morning  or at night; and (3) contributions
    of single or snail groups of sources to ozone problems.   The OZIPP
    model is best used to study the effectiveness of areauide control
    strategies in reducing peak/ one-hour average ozone concentrations
    within or downwind of a city.
(ASM)  Basic assumptions of model:  The model underlying OZIPP is
    similar in concept to a trajectory-type photochemical model which
    simulates the formation of ozone from precursors within  a migrating
    column of air.  A column of uniformly mixed air extends  from the
    earth's surface throughout the  mixed layer. The height of the
    column rises according to the diurnal variation in mixing height/
    resulting in dilution of pollutants within the column and
    entraiiuaent of pollutants which were Initially above the column.
    As the column moves/ emissions of fresh precursors are  encountered.
    The model mathematically calculates the formation of ozone within
    the column as a function of time in accordance with a chemical
    kinetic mechanism.  The model employs a gear-type integration


                             1301

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                             Accession No.   14504000925    (cont)

    scheme to solve numerically the set of  differential evaluations
    which describe the model assumptions. To generate an ozone isopleth
    diagram, the model performs repeated simulations with differing
    pollutant levels initially within the column.   Using the results of
    these simulations/ a diagram is constructed which expresses the
    calculated peak/ one-hour average ozone concentrations as a
    function of the initial precursor concentrations,  the program
    incorporates a hyperbolic spline interpolation scheme to construct
    the graph.
(INP)  Input to model: Data are supplied to the model to make an ozone
    isopleth diagram specific to a particular city.  These data
    include: latitude/ longitude and tine zone of  the city; the day/
    month and year; the minimum morning and maximum afternoon mixing
    heights; sets of emission fractions which reflect the effect of
    precursor emissions occuring throughout the day; and the
    concentrations of ozone and precursor transported into the city*
    Additional input parameters are supplied to control the generation
    of the ozone isopleth diagram (e.g./ scales of the diagram/ size of
    the diagram/ accuracy/ interpolation smoothing/ etc).  All input
    data are processed in a simple manner/  and no  extensive
    computerized data base is required.
(OUT)  Output of model: The primary output  of the  model is the ozone
    isopleth diagram.  The diagram is depicted on  a line printer plot/
    and can be generated as an option on a  Calcomp Plotter.  A report
    is also produced which summaries the input data and results of the
    simulations that were performed to generate the diagram.
(APP)  Applications of model: The OZIPP Model has  been used to generate
    ozone isopleth diagrams to calculate emission  reductions necessary
    to achieve the ambient air quality standard for ozone.  The model
    was used by State/local air pollution control  agencies as the basis
    for estimating emission reductions for  1979 and 1982 submittals of
    the State Implementation Plans.
{HDtQ  Computational system requirements -  Hardware: Mainframe Univac
    1100 ;Prlnter 132 position line printer ;Ca
(LNG)  Computational system requirements -  Language(s) used: Fortran
    Calcomp Plotter (optional)
(OSK)  Computational system requirements: Operator Knowledge/Skills: Pro
    gramming ;Engineering
(ATP)  Air Models - Type of no del: Numerical reactive
(OAQ)  yodel reviewed and approved by OAQPS? YES
(PHP)  Production method of primary pollutant in model: Secondary
    (produced in atmosphere by chemical reactions)
(MPR)  Process used to remove pollutant from atomosphere: Chemical
(THE)  Sample averaging time used: less than 24 hours
(SRC)  Source of pollutant: multiple point  (more than 10-20)
(AR)  Area where sample was collected: level or gently rolling terrain.
(RNG)  Distance traveled by pollutant from  source: less than 60 km
(REF)  References - User manuals/ documentation/ etc.:
    Kinetics Model and Ozone Isopleth Plotting
    Package (OZIPP)/ EPA-600/8/770014b/ U.S. Environmental
    Protection Agency/ Research Triangle Park/ HCjr July 1978.
    G. Z. Whit ten and H. Hugo/ User's Manual for Kinetics Model


                             1302

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                             Accession Wo.   14504000925    (cont)

    and ozone Isopleth Plotting Package/  EPA-600/8-78-014a,
    U.S. Environmental Protection Agency, Research Triangle  Park,
    NC, July 1978.
    Uses, Limitations and Technical Basis of Procedures for
    Quantifying Relationships Between Photochemical Oxidants and
    Precursors, EPA-45Q/2-77-021a, U.S* Environmental Protection
    Agency,  Research Triangle Park, NC, November 1977.
(CHM)  Contact narae(s): Gipson,G.L.
(COR)  Contact organization:  U.S. EPA, Office of Air Quality Planning &
    Standards, Monito
(RQR)  Responsible Organization: Office of  Air,  Noise and
    Radiation.Office of Quality Planning and Standards.Monitoring  and
    Data Analysis Division.
                             1303

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                             Accession No.   14504000926

(OQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model; Industrial Source Complex Model
(ACR)  Acronym of Data Base  or Model:  ISC
(MED)  Media/Subject of Data Base or Model;  Air
(ABS)  abstract/Overview of  Data Base or Model: The Industrial  Source
    Complex (ISC) Dispersion Model is a Gaussian plume model used to
    evaluate the air quality impact of emissions from industrial source
    complexes.  The ISC Model consists of two computer programs, one
    for short-term analyses  and one for long-term analyses*   The
    short-term model program, ISCSI/ uses sequential hourly
    meteorological data to estimate concentration or deposition
    patterns from one hour to one year*  The long-term model program,
    ISCLT, uses statistical  Hind summaries to estimate seasonal and
    annual concentration or  deposition patterns.  The ISC Model has
    rural and urban options.  Major features of the ISC Model program
    are:  (1) effects of aerodynamic building wakes and stack tip
    downwash; (2) effects of variations in terrain height; (3)  plume
    rise due to momentum and buoyancy as a function of downuind
    distance; (4) dispersion of emissions from stack area/ line, and
    volume sources where line sources are simulated by multiple volume
    sources; (5) physical separation of multiple sources; (6)
    time-dependent exponential decay of pollutants; and (7)  effects of
    gravitational settling and dry depositon.
(CTC)  CONTACTS: Joseph A. Tlkvart   O.S. EPA, Office Air Quality
    Planning a Standards
    Loc: KD-14 Research Triangle Park Ph: (919) 541-5561
    Loc: North Carolina 27711
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-06-83
(CAP)  Functional capabilities of model: The ISC Model programs are
    written In FORTRAN IV and regulre approximately 65,000 UNIVAC 1110
    computer words.  The programs nay be used on s medium to large IBM
    or CDC computer system with little or no modification. The  number
    of sources and receptors are interdependent; however, 300 is the
    maximum number of sources accepted, arbitrarily located.  Receptors
    can be specified on a polar or rectangular grid and Briggs* early
    plume rise formulations. Including the momentum terms, are  used.
    Deposition can be calculated or allowed for only over flat  terrain.
    The short-term program calculates values of average concentration
    or deposition for time periods of 1, 2,  3, 4, 6, 8, 12,  and 24
    hours. Additionally, the ISCST may be used to calculate  N-day
    concentration or deposition values where the maximua value  of N is
    366 days.  The units option allows the user to specify the  input
    emissions units and/or output concentration or deposition units.
    Applications that do not require at least one of the ISC Model
    features should utilize  a less comprehensive computer model.
(ASM)  Basic assumptions of  model: Meteorological homogenity is assumed
    following the conversion of surface wind-speed to that at plume
    height.  All plumes remain level,  regardless of terrain elevation,
    unless significant terminal fall velocity is specified.   Emission
    rates can be varied according to specified meteorological classes
    or as a function of time (hour of day, season or month,  or  both).


                             1304

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                             Accession No.   14504000926    (cont)

    A simple time-dependent exponential decay of the pollutant is
    optional.
CINP)  Input to model:  For ISCST meteorological data required are  mean
    uind speed and measurement height; average random flow vector, Hind
    profile exponents** ambient air temperature, height of mixing
    layer, Pasquill stability/ and vertical potential temperature
    gradient*.  These data may be input directly using the sane
    preprocessed meteorological data tape as the CRSTER Model or
    alternatively input by card deck.  For  ISCLT, joint frequencies of
    occurrence of wind speed and direction  and stability are required.
    Source data consists of emission rate (total emissions for
    deposition); dimensions of stack, building area or volume source;
    effluent characteristics; surface reflection coefficients for  each
    settling-velocity category; receptor data; and receptor terrain
    elevation data.
COOT)  Output of model: Output can be directed to a line printer and/or
    magnetic tape.  Five categories of printed output can be acquired
    front ISCST; input source-receptor and hourly meteorological data
    listings;  concentration or deposition values calculated for any
    combination of sources at all receptors for any specified day(s) or
    time period; highest and second-highest such values; a maximum of
    50 such values. ISCLT output provides input source-receptor and
    meteorological data listings; long-term mean concentration or
    deposition values calculated at each receptor for each source  and
    for combined emission sources; contributions of individual sources
    to the maximum 10 such values calculated for the combined emission
    sources or as contributed to user specified receptors.
CAPP)  Applications of model: The ISC Model is recommended for use in
    air quality assessments of stack* area  and volume industrial
    complex sources in urban and rural areas where short-terra, seasonal
    and/or annual air quality concentration estimates of stable
    pollutants are required. The source program for this dispersion
    model is available as part of UNAMAP (Version 4), PB81-164600  for
    $840 from Computer Products, NTIS, Springfield, VA, 22161.
(REF)  References - User manuals, documentation, etc.:
    Industrial Source Complex (ISC) Dispersion Model
    User's Guide, Volume I; NTIS f PB 80-133044.  Industrial
    Source Complex (ISC) Dispersion Model User's Guide, Volume II
    (Appendices A through I; NTIS # PB 80-133051.
    Magnetic Tape of programs; NTIS | PB 80-133036.
CCNM)  Contact naroe(s): Tikvart,J.A.
(COR)  Contact organization: U.S. EPA, Office Air Quality Planning and
    Standards
(ROR)  Responsible Organization; Office of  Air, Noise and
    Radiation.Of£ice of Quality Planning and Standards.Monitoring  and
    Data Analysis Division.
                             1305

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                             Accession No.   14504000927

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Air Quality Display Model
(ACR)  Acronym of Data Base  or Model:  AQDM
(MED)  Media/Subject of Data Base or Model:  Air
(ABS)  Abstract/Overview of  Data Base or Model: The Air Quality Display
    Model (AQDM) is a three-dimensional, steady-state air model used in
    the evaluation of area sources in "rough*1 urban areas.   The AQDM
    treats the physical processess of both  transport and diffusion.
    The model is appropriate for examining  areas ranging in size from
    small localized vicinities to whole urban areas, and it has a
    long-term application for the evaluation of seasonal or annual air
    quality variations*
(CTC)  CONTACTS: Joe Tikvart  U.S.  EPA, Office of Air Quality Planning
    and Standards, MO-14, RTF
    Loc: Research Triangle Park  Ph: (919)  541-5561
    Loc: North Carolina 27711
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-06-83
(CAP)  Functional capabilities of model: The AQDM model does not
    simulate chemical processes, but it does treat the physical
    processes of transport and diffusion in "rough" urban areas. It
    uses a one layer discretization and a user-specified 14 x 14 grid*
    A 225 grid receptor with 12 additional  receptor points is also
    user-specified.  The fixed-point meteorological data does not
    describe microneterorological variations within the city, nor does
    it describe "urban heat island" air circulations.  The model has a
    sensitivity to effective stack height,  Hind speed, and wind
    stability. It is limited to S0<2> and suspended particulates, and
    it is designed for annual average and seasonal applications*
(ASM)  Basic assumptions of model:  The AQDM is a deterministic model
    that uses an analytically integrated solution technique.  It
    assumes a steady state for air quality constituents, and assumes
    Gaussian diffusion and homogeneous, discrete atmospheric conditions*
(INP)  Input to model: Input to the model for initial set-up and
    calibration include:  point and area residual discharges and stack
    parameters which consist of height, diameter, temperature, and exit
    velocity; meteorological data containing wind speed and direction,
    stability, and mixing height; and several ambient air concentration
    measurements.  Model data requirements for verification incorporate
    the above meteorological data and ambient air concentration
    measurements.
(DOT)  Output of model: Output for the model include ambient
    concentration values given at grid locations, ground level, or
    other user-selected points.  These values are given in the form of
    tabular printouts or card decks for use with CALCOMP or SYMAP plot
    programs*  Some of the special features of the AQDM output are its
    statistical output routines, receptor contribution analysis, and
    calibration subroutine.
(APP)  Applications of model: AQDM can be used in the evaluation of
    area sources in "rough" urban areas for seasonal or annual air
    quality variations*  This model has been superceded by such models
    as CDM/CDMQC and RAM; thus AQDM Is primarily of historical


                             1306

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                             Accession No.   14504000927    (cont)

    interest.  TECHNICAL CONTACT: Joseph Tikvart U.S. Environmental
    Protection Agency Air and Hater Programs Mutual Building 411  W.
    Chapel Hill Street Durham, NC 28801 FTS  629-5262  COM  919/541-5262
(HDtf)  Computational system requirements -  Hardware: Mainframe IBM
    360/40 or  equivalent ;Disc storage 300K bytes
(LNG)  Computational system requirements -  Language(s) used; Fortran
(OSfO  Computational system requirements: Operator Knowledge/Skills: Pro
    gramming ^Engineering ^Mathematical ability and experienc the model
    or access  to consultations
(ATP)  Air Models - Type of model: Gaussian dispersion
(PMp)  Production method of primary pollutant in model: (emitted
    directly into atmosphere).
(HPR)  Process used to remove pollutant from atomosphere: Physical
(THE)  Sample  averaging time used: more than 24 hours
(SRC)  Source  of pollutant: multiple point  and area
(AR)  Area where sample was collected: urban areas.
(REF)  References - User manuals, documentation, etc.:
    Croke, E.J., et al., "Regional Implementation
    Plan Evaluation Process,*1 ANC/ES-DA-001, Argonne National
    Laboratory, Argonne, Illinois, (July 1970).
    National Air Pollution Control Administration, "Air
    Quality Display Model," PB 189 194, Washington, D.C.,
    (November  1969).
(CNM)  Contact namc(s): Tikvart,J.
(COR)  Contact organization: U.S. EPA, Office of Air Quality Planning
    and Standards, MO-1
(ROR)  Responsible Organization: Office of  Air, Noise and
    Radiation.Office of Quality Planning and Standards.Monitoring and
    Data Analysis Division.
                             1307

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                             Accession No.   14504000928

(DQ)  Date of Questionaire: 12-02-82
CKAM)  Kame of Data Base of Model: Complex Terrain Gaussian Plume
    Dispersion Algorithm
(ACR)  Acronym of Data Base or Models  17ALLB¥
(MED)  faedia/SubJect of Data Base or Models Air
UBS)  Abstract/Overview of Data Base or Model: VALLEY is a
    steady-state, univariate Gaussian Plume dispersion algorithm
    designed for estimating either 24-hour or annual concentrations
    resulting from emissions from up to 50 (total) point and area
    sources.  Calculations of ground-level pollutant concentrations are
    made for each frequency designed in an array defined by six
    stabilities, 16 wind directions, and six speeds for 112
    program-designed receptor sites on a radial grid of variable scale*
    Empirical dispersion coefficients are used and include adjustments
    for plume rise and limited mixing. Plume height is adjusted
    according to terrain elevations and stability classes.
(CTC)  CONTACTS: D. Bruce Turner     U.S. EPA, Environmental
    Applications 8r Loc: Mail Drop 80  Phs  (919) 541-4564
    Loc: Research Triangle Park North Carolina 27711
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-06-83
CCAP)  Functional capabilities of model: This dispersion model is
    capable of estimating concentrations resulting from emissions from
    up to 50 point and area sources for a time frame of either 24 hours
    or an annual basis. The model performs calculations of ground-level
    pollutant concentrations in an array defined by six stabilities^ 16
    wind directions, and six Hind speeds for 112 program-designed
    receptor sites on a radial grid of variable scale.  The model
    accounts for plume rise and limited mixing.
(ASM)  Basic assumptions of model: Source-Receptor Relationship.  Each
    point source is assigned an arbitrary location.  Each area source
    is given an arbitrary location and size.  The model provides 112
    receptors on a radial grid for 16 directions; relative radial
    distances are internally fixed, and the overall scale may be
    modified by the user.  The location of the grid center is defined
    by the user.  A unique release height for each point and area
    source is given by VALLEY.  Receptors are at ground level, and
    ground level elevations above mean sea level are defined by the
    user.  The total number of sources for the model is less than or
    equal to 50. Emission Rate.  A single rate is utilized by each
    point and area source.  Each source is treated by an effective
    point source approximation, and no temporal variation is allowed.
    Chemical Composition.  This is not applicable to VALLEY. Plume
    Behavior.  The model uses Briggs (1971, 1972} plume rise formula
    for both point and area sources. Alternately, a single constant
    plume rise value may be input for any or all sources.  VALLEY does
    not treat fumigation or downuash*   If the plume height exceeds the
    mixing height:  1) for long-term calculations, the ground level
    concentrations are assumed to be equal to 'zero, 2) for short-term
    calculations, the raaximuffi plurae height is limited to the mixing
    height. Horizontal Wind Field.  For long-term calculations, the
    model utilizes the following:  clinatological approach/ 16 Hind


                             1308

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                             Accession  No.   14504000928     (cont)

    directions/  6  wind speed classes, no  variation  in  wind  speed with
    height/  constant  uniform (steady-state)  wind  assumed/ and  the  user
    must specify the  wind speeds representative of  each  class  (these
    are not  internally defined).   For short-term  calculations/
    specifically to predict the  second  highest 24-hour concentration
    expected in  one year/  a Class F  stability and a 2*5  m/sec. wind
    speed with user-defined direction are assumed.   These conditions
    are assumed  to exist  for 25% of  the 24-hour period/  and an internal
    adjustment is  made for this.  In  stable conditions/ in complex
    terrain/ concentrations for  receptors located above  the point  of
    impingement  are obtained by  linear  interpolation between the value
    obtained at  the point of impingement  and a value of  zero at a
    height of 400  meters  above  that  point.   The value  at the point of
    impingement  is taken  to be  equal to thevalue  10 meters  below the
    plume centerline.   For receptors located below  the point of
    impingement/ the  effective  plume height  is equal to  the height of
    the plume above the receptor elevation or 10  meters/ whichever is
    larger.   The plume is assumed to remain  at a  constant elevation
    following the initial rise.   In  neutral  or unstable  conditions/ in
    complex  terrain/  the  plume  is assumed to remain at a constant
    height above the  topography/  following the intial  rise. The model
    assumes  that there is no variation  of wind speed with height/  and
    that there is a constant/ uniform (steady-state) wind.  Vertical
    Wind Speed*   In stable conditions/  this  is assumed to be equal to
    zero.  In neutral and unstable conditions/ the vertical uind speed
    is assumed such that  the plume remains at a fixed  height above the
    terrain. Horizontal Dispersion.  VALLEY  uses  a climatological
    approach, with sector averaging  (narrow  plume approximation) for
    calculating  the center values of each of the  16 sectors.  The  model
    uses linear  interpolation between centerlines/  as  does  the Air
    Quality  Display Model (AGDM). Averaging time for  VALLEY is one
    month to one year for long-term  calculations. Vertical  Dispersion.
    The model uses a  semi-empirical/ Gaussian plume.  In the urban
    mode/ the model assumes the following:  five  stability  classes
    (Turner/ 1964); neutral stability split  internally into 60% day and
    40% night; dispersion coefficients  from  Pasquill (1961) and Gifford
    (1961);  neutral dispersion  coefficients  used  for all neutral and
    stable classes; no provision for variations in surface  roughness;
    and stable cases  are  never  dealt with. In the rural  mode/  the  model
    assumes:  six stability classes  (Turner/ 1964); dispersion
    coefficients from Pasquill  (1961) and Gifford (1961); neutral
    stability split internally  into  60% day  and 40% night (has no
    effect on dispersion  coefficients); long term mode only; and no
    adjustments  are made  for variation  in surface roughness.
    Chemistry/Reaction Mechanism. VALLEY uses exponential  decay and  a
    user-input half-life. Physical Removal.  The  model uses exponential
    decay and a  user-input half-life. Background.  VALLEY does not
    treat this in any mode.
(INP)  Input to  model: Input to the  model includes: point  and area
    residual discharges and stack parameters; meteorological data; and
    ambient air  concentration measurements.
(OUT)  Output of model: Output  froa  the model in  the long-term mode


                             1309

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                             Accession Wo,   14504000928    (contj

    includes long-term arithmetic means and a source contribution  list
    for each receptor.  Output for the short-term mode includes the
    second highest 24-hour concentration and a source contribution list
    for each receptor.
(APP)  Applications of model: The source program for this dispersion
    model is available as part of UNAMAP (Version 43 PB 81 164 600 for
    $840 from Computer Products/ NTIS, Springfield, VA  22161*
    TECHNICAL CONTACT: D. Bruce Turner U.S. Environmental Protection
    Agency Mail Drop 80, EPA Environmental  Applications Branch Research
    Triangle Park, NC  27711 FTS 629-4564  COm 919/541-4564
(HOW)  Computational system requirements -  Hardware: Mainframe Univac
    1110 ;Disc storage 13K
(LNG)  Computational system requirements -  Language(s) used:  Fortran V
(ATP)  Air Models - Type of model: Gaussian dispersion
(PMP)  Production method of primary pollutant in BIO del: Primary
    (emitted directly into atmosphere)
(TME)  Sample averaging time used: more than 24 hours
(SRC)  Source of pollutant: multiple point, less than or equal to  50
(AR)  Area where sample was collected: level or gently rolling terrain.
    ;complex: rough terrain do of Hater or in valley or street canyon.
(RNG)  Distance traveled by pollutant from  source:  less than  60 km
(REF)  References - User manuals, documentation, etc.:
    Burt, E., Valley Model User's Guide, Publication
    No. EPA-450/2-77-018, Environmental Protection Agency,
    Research Triangle Park, North Carolina  27711, Septenber,  1977.
(CNM)  Contact name(s): Turner,D.8.
(COR)  Contact organization: U.S. EPA, Environmental Applications  Branch
(ROR)  Responsible Organization: Office of  Air, Noise and
    Radiation.Office of Quality Planning and Standards.Monitoring  and
    Data Analysis Division.
                             1310

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                             Accession No.   14504000929

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Single Source Model
(ACR)  Acronym of Data Base  or Model:  CRSTER
(MED)  Media/Subject of Data Base or Model:  Air
(ABS)  Abstract/Overview of  Data Base  or Model: This algorithm
    estimates ground-level concentrations resulting from up to 19
    colocated elevated stack emissions for  an entire year and prints
    out the highest and second-highest 1-hour,  3-hour, and 24-hour
    concentrations as well as the annual mean concentrations at a set
    of 180 receptors (5 distances by 36 azimuths).  The algorithm is
    based on a modified form of the steady-state Gaussian plume
    equation which uses empirical dispersion coefficients and includes
    adjustments for plume rise and limited  mixing* Terrain adjustments
    are made as long as the  surrounding terrain Is physically lower
    than the lowest stack height input-  Pollutant concentrations for
    each averaging time are  computed for discrete, non-overlapping  time
    periods (no running averages are computed)  using measured hourly
    values of wind speed and direction, and estimated hourly values of
    atmospheric stability and mixing height.
(CTC)  CONTACTS:  D. Bruce Turner    U.S. EPA,  Environmental
    Applications  Br Loc: Hail Drop 80   Ph:  (919) 541-4564
    Loc: Research Triangle Park, North Carolina 27711
(STA)  Data Base  status: Operational/ongoing
(DF)  Date of form completion: 01-06-83
(CAP)  Functional capabilities of model: Concentrations are estimated
    for each hour of a one-year period of record at a 180 receptor  grid
    laid out in polar coordinate form  {36 directions by 5 distances)
    resulting from a single  plant which may consist of from one to
    eighteen individual stacks. Sources are all colocated, that is,
    distances between sources are not  considered.  It is assumed that
    this algorithm will be applied to  elevated sources and distances
    far enough away (near maximum concentrations) so that final plume
    rise is applicable and distances between sources will be
    unimportant.   Output consists of tables giving concentration
    estimates for each receptor.  Annual concentrations, highest and
    second highest 1-hour, 3-hour and  24-hour concentrations are
    standard output* Calculations for  highest and second highest for  a
    selected averaging time  of 2, 4, 6, 8,  or 12 hours can be
    optionally selected.
(ASM)  Basic assumptions of  model: Source Receptor Relationship.  Op  to
    19 point sources, but no area sources can be run.  All point
    sources are assumed to be at the same location, and a unique stack
    height is assumed to each source.   Receptor locations are
    restricted to 36 azimuths (every 10 degrees) and 5 user-specified
    radial distances.  There is a unique topographic elevation for  each
    receptor which must be below the top of the stack. Emission Sate.
    The model assumes a unique average emission rate for each source,
    and monthly variations in the emission rate is allowed. Chemical
    Composition.   This is treated as a single inert pollutant. Plume
    Behavior.  The model uses Briggs(8,)(9,M10) final plume rise
    formulas, and does not treat fumigation or dounwash. If the plume
    height exceeds the mixing height,  concentrations further downwind


                             1311

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                             Accession No.   14504000929     (cont)

    are assumed to be equal to zero.  Horizontal Wind Field.   The model
    uses user-supplied hourly wind direction (nearest 10 degrees),
    internally modified by the addition of  a random integer  value
    betveen -4 degrees and + 5 degrees.  Hind speeds are  corrected for
    release height based on power law variations and exponents from
    DeMarrais(6); different exponents are used for different stability
    classes/ and the reference height is equal to 10 meters*  A
    constant/ uniform (steady-state)  wind is assumed within  each hour.
    Vertical Wind Speed.  This is assumed to be equal to zero.
    Horizontal Dispersion.  The model assumes a semi-
    empirical/Gaussian plume.  Seven  stability classes are used:
    Turner Class 7 is an extremely stable/  elevated plume assumed not
    to touch the ground.  Dispersion  coefficients are from Turner/  and
    no further adjustments are made for variations in surface
    roughness/ transport/  or averaging time. Vertical Dispersion.   A
    semi-empirical/Gaussian plume is  used/  and the model utilizes seven
    stability classes. Dispersion coefficients are from  Turner/ and no
    further adjustments are made. Chemistry/Reaction Mechanism.  This
    is not treated. Physical Removal.  This is not treated.  Background.
    This is not treated.
(INP)  Input to model: Meteorological data  must be Input to  the model.
(OUT)  Output of model: Output produced by  the model includes highest
    and second highest concentrations for the year at each receptor for
    averaging times of I/  3/ and 24-hours/  plus a user-  selected
    averaging time which may be 2/ 4/ 6/ 8/ or 12-hours. An  annual
    arithmetic average at  each receptor is  given/ and the model
    provides the highest 1-hour and 24-hour concentrations over the
    receptor field for each day/ and  hourly concentrations for each
    receptor on magnetic tape.
(APP)  Applications of model: The source program for this dispersion
    model is available as  part of ONAMAP (Version 4), PB 81  164 600/
    for $840 from Computer Products/  NTIS/  Springfield/  VA 22161.
(HDW)  Computational system requirements -  Hardware: Mainframe Univac
    1110 ;Disc storage 28K core memory ;Magneti
(LNG)  Computational system requirements -  Language(s) used: Fortran V
(ATP)  Air Models - Type of model: Gaussian dispersion
(PHP)  Production method of primary pollutant in model:  Primary
    (emitted directly into atmosphere)
(THE)  Sample averaging time used: less than 24 hours
(SRC)  Source of pollutant: limited point (less than 10-20)
(AR)  Area where sample was collected: level or gently rolling terrain.
(REF)  References - User manuals/ documentation/ etc.:
    Environmental Protection Agency/  "User's Manual
    for Single Source (CRSTER) Model/" Publication No.
    EPA-450/2-77-013 (UTIS PB 271360)/ Office of Air Quality
    Planning and Standards/ Research Triangle Park/
    North Carolina 27711/  July/ 1977.
(CNM)  Contact na«e(s): Turner/D.B.
(COR)  Contact organization: U.S. EPA/ Environmental Applications Branch
(ROR)  Responsible Organization: Office of  Air/ Roise and
    Radiation.Offlee of Quality Planning and Standards.Monitoring and
    Data Analysis Division.


                             1312

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Accession No.  14504000929    (cent)
1313

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                             Accession Ho.   14505000905

CDQ)  Date of Questionalre:  12-02-82
(NAM)  Kame of Data Base of.  Model: Human Exposure Program
(ACR)  Acronym of Data Base  or Model:  HEP
(MED)  Media/Subject of Data Base or Model:  Air ;Toxic substances
CABS)  Abstract/Overview of  Data Base or Model: The Human Exposure
    Program (HEP) is a digital computer simulation which calculates
    population exposure to airborne pollutants emitted by point/
    prototypical pointy and  area sources, using the concentration
    patterns of those pollutants*  Additionally, the simulation
    determines the dosage (an integrated concentration x population)
    received by this exposed population.  The purpose of the program  is
    to estimate the national Impact of the  emissions from sources on
    the actual population. This program is  not intended to certify a
    source as meeting a standard.  The original version of the model
    was completed in March 1980 by Systems  Applications, Incorporated
    of San Rafael/ California with contributions from Hydroscience,
    Incorporated, Knoxville, Tennessee and  Minima* Research
    Corporation, Berkeley, California.  The program was re-structured
    for use on the UNIVAC 1100 by OAQPS.

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                             Accession No.   14505000905    
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                             Accession No.   14505000905     (cont)

    Final output is the dosage (population  x concentration) received  by
    the exposed population for various concentration levels out  to  20
    km from the point source*
(APP)  Applications of model: This model provides a means for  the
    estimation of the dosage received by the national population
    exposed to an airborne pollutant emitted by a specific source
    category.  HEP calculates also the effect of multiple sources such
    as those found in industrial areas.  HEP is a new program  and
    represents state-of-the art for exposure models.
(HOtO  Computational system requirements -  Hardware: Mainframe Onivac
    1110 ;Disc storage 600 tracks permanent dat Printer  132 position
    line printer
(LNG)  Computational system requirements -  Language(s) used: Automatic
    scratch space depending on amount of data.   Uses than 45K  memory.
    Variable scratch space not available under  ASCII FORTRAN
    Fortran V
(GSK)  Computational system requirements: Operator Knowledge/Skills:  Eng
    inecring
(ATP)  Air Models - Type of model: Gaussian dispersion
(OAQ)  Model reviewed and approved by OAQPS? YES
(PMP)  Production method of primary pollutant in model:  Primary
    (emitted directly into atmosphere)
(MPR)  Process used to remove pollutant from atomosphere: Chemical
    removal processes are those in which pollutant  rea
(TME)  Sample averaging time used: more than 24 hours
(SRC)  Source of pollutant: multiple point  (more than 10-20) and
    limited area.
(AR)  Area where sample was collected: simple:  area with level or
    gently  rolling terrain.
(RNG)  Distance traveled by pollutant from  source: short range (less
    than 60 km)
(REF)  References - User manuals, documentation/ etc.:
    Human Exposure to Atmospheric Concentrations of
    Selected Chemicals/ Attachment B.  EPA  Contract Ho.  68-02-
    3066, SAI No. EE-156 R, 5 March 1980.
(ROR)  Responsible Organization: Office of  Air/ Noise and
    Radiation.Office of Quality Planning and Standards.Strategies  and
    Air Standards Division.
                             1316

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                             Accession  No,   14505000906

(DQ)  Date of Questionaire:  12-02-82
CHAM)  Kame of Data Base of  Model:  Coke Supply
(ACR)  Acronym of Data Base  or Model:  None
(MED)  Media/Subject of Data Base or Model:  Industry/economic
(ABS)  Abstract/Overview of  Data Base or Model:  A production cost  model
    that incorporates technical relationships and engineering cost
    estimates is used with plant-specific information to compute
    separate industry supply functions, with and without EPA regulatory
    alternatives for specific emissions sources  on a year-by-year  basis
    for furnace and foundry  coke plants projected to be  in  existence
    between 1980 and 1990.  Both coke production costs and  the costs
    that plants will incur to meet  existing  environmental regulations
    are computed in order to estimate the industry supply curve before
    any new regulations are  applied.  Estimates  of the costs of control
    for the regulatory alternatives are then used to compute the
    projected upward shift in that  supply function.   All costs are in
    1979 dollars. Econometric estimates of the demand for coke are used
    to get price and quantity adjustments.
(CTC)  CONTACTS: Bob Short   U.S. EPA Loc: Research Triangle Park   Ph:
    (919) 541-5610
    Loc: Morth Carolina 27711
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-27-83
(CAP)  Functional capabilities of model: All coke plants in existence
    in 1979 are included in  the model.   Plants with scheduled rebuilds
    over the 1980-90 period  are also identified.  Deterministic cost
    functions are used.
(ASM)  Basic assumptions of  model:  The  coke  industry is  treated as a
    competitive market.  All batteries  within a  coke plant  are assumed
    to operate at capacity.   A single production and consumption place
    is assumed although regional variations  in coal prices  are Included.
(INP)  Input to model: The input for a  running of the model consists
    of:
    1) year of analysis, and 2) regulatory scenario.
(DOT)  Output of model: All  output  is in tabular form.  Plant-by-plant
    and industry level costs are shown.  These costs include coke
    production costs, environmental regulations  costs/ and  the costs  of
    potential SPA regulations*  Both capital and operating  costs are
    included.  An industry supply function is shown with a  cost
    break-down for each point along the function.
CAPP)  Applications of model: The model is used  to compute  the upward
    shift in the supply function for coke with EPA regulation. This
    shift is then used In conjunction with the deoand for coke to
    compute the price output cost and emissions  effects  of  the
    regulation.
(HDW)  Computational system  requirements - Hardware: Mainframe IBM
    370/165 ;Disc storage 50 tracks 1330 ^Printer
(LNG)  Computational system  requirements - Language(s) used: Fortran  17
(REF)  References - User manuals, documentation, etc.:
    1) Economic Impact of NESHAP Regulations on  Coke
    Oven Batteries Research  Triangle Institute
    2) An Econometric Model  of the  U.S. Steel Industry Research


                             1317

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                             Accession No.   14505000906    (cont)

    Triangle Institute
    3) Technical Approach for a Coke Production Cost Model PedCo
    Environmental, Inc., Cincinnati, Ohio
(CUM)  Contact name(s): Bob Short
(COR)  Contact organization:  U.S. E.P.A.  MD-12 Research Triangle Park
    HC 27711
(ROR)  Responsible Organization: Office of  Air/ Noise and
    Radiation.Office of Quality Planning and Standards.Strategies and
    Air Standards Division.
                             1318

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                             Accession No.   14505000907

(DQ)  Date of Questionaire:  12-02-82
(HAM)  Kame of Data Base of  Model:  Fertilizer Supply
(ACR)  Acronym of Data Base  or Model:  FERTSUPPLY
(MED)  Media/Subject of Data Base or  Model:  Air ;Industry/economic
CABS)  Abstract/Overview of  Data Base or Model: The FSRTSUPPLY model  is
    a quadratic programming  model of  the U.S. nitrogen fertilizer
    industry, designed to assess the  economic impact of  Neu  Source
    Performance Standards on urea/  ammonium  nitrate and  ammonia
    production facilities. The model  consists of a set of linear
    programming (LP) models  of production facilities to  account for
    supply/ a transport model to account for distribution, and a
    quadratic programming model to  account for demand* The U.S. is
    divided into 10 production/consumption regions to explain domestic
    production and consumption activities and imports are treated as
    exogenous variables.  The parameters of  the LP production models
    are developed from engineering cost data.  The parameters of  the
    demand functions and the transport model are estimated
    ecGeometrically.
(CTC)  CONTACTS: Thomas Walton  U.S.  EPA, Office Air Quality Planning
    and
    Standards, Strategies and Air Standards  Division
    Loc: Research Triangle Park  Ph:  (919) 541-5610
    Loc: North Carolina 27711
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-27-83
(CAP)  Functional capabilities of model: The purpose of  the  model is  to
    provide long run conditional forecasts for costs of  regional  and
    national consumption and production of major nitrogen fertilizers
    and investment in new plants.  The model provides data on an  annual
    basis and is specifically designed to assess the differential
    impacts of alternative New Source Performance Standards.
(ASM)  Basic assumptions of  model:
    1)  Individual plants face Leontief production functions*
    2)  Regional demand functions can meaningfully be linearized  over
    the relevant ranges of feasible solution sets.
    3)  Transport costs are  independent of the level of
    interregional shipments  and constant on  a per unit basis*
    4)  The solution methodology is encapsulated in the  Univac
    Functional
    Mathematical Programming System (FHPS) package.
(INP)  Input to model:
    1)  Unit production costs for each product for each  plant
    2)  Plant capacities
    3)  Interregional shipping costs
    4)  Linear demand function parameters
(OUT)  Output of model:
    1.)  Plant product mix
    2)  Plant output by product
    3)  Regional output by product
    4)  U.S. output by product
    5)  Interregional trade  flows
    6)  Total regional shipping costs


                             1319

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                             Accession No.   14505000907    (cont)

    7)  Total national production costs
    8)  Investment in new plant by region
    9)  Total investment in new plants in the U.S.
    10) Total costs of alternative new source performance standards
    regulations/ measured by changes in economic surplus All data are
    presented in tabular form.
(APP)  Applications of model: Model was being used to assess economic
    impacts of new source performance standards regulatory alternatives
    for urea and ammonium nitrate facilities between 1981 and 1986.
(HDW)  Computational system requirements -  Hardwares Univac 1110 ;Disc
    storage 1 20 tracks ^Printer any model
(LNG)  Computational system requirements -  Language(s) used: Fortran
    Functional Mathematical Programming System (FHPS)
(OSK)  Computational system requirements: Operator Knowledge/Skills: Pro
    grammi ng
(ATP)  Air Models - Type of model: Econometric/linear programming
(OAQ)  Nodel reviewed and approved by OAQPS? YES
{PMP)  Production method of primary pollutant in model: Primary
    (emitted directly into atmosphere)
(MPR)  process used to remove pollutant from atomosphere: Physical
(THE)  sample averaging time used: less than 24 hours
(SRC)  Source of pollutant: limited point.  United time
CAR)  Area where sample was collected: level or gently rolling terrain.
(RNG)  Distance traveled by pollutant from  source: less than 60 km
(REF)  References - User manuals/ documentation, etc.:
    Report in progress.

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                             Accession Ho.   14605000007

COQ)  Date of Questionaire:  12-02-82
(KAM)  Name of Data Base of  Model:  Mobile Source Ail Pollution Emission
    Model

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                             Accession No.   14605000007    (cont)

(HOW)  Computational system requirements -  Hardware: Mainframe IBM 360
    or Univac ;Disc storage (or tape) 45,000 u Magnetic tape storage
    (or disc) ;Printer 80 or 132 column model
(LUG)  Computational system requirements -  Language(s) used: Fortran
(OSK)  Computational system requirements: Operator Knowledge/Skills: Pro
    grareming ^Engineering
(REF)  References - User manuals, documentation, etc.:
    1) Users Guide to Mobile II, EPA* 460/3-81-006,
    Feb. 1981, NTIS #PB81205619, Ann Arbor, Michigan.
    2) Compilation of Air Pollutant Emission Factors: Hluay Mobile
    Sources, EPA #460/3-81-005, March 1981, NTIS #PB 81238305, Ann
    Arbor, Michigan*
(RQR)  Responsible Organization: Office of  Air, Noise and
    Radiation.Office of Mobile Sources.Emission Control Technology
    Division.
                             1322

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                             Accession No.   15302000107

 P, etc.) and data gathered during the BAT studies for the
    organic chemicals industry.
(INP)  Input to model: The user has the option to input  a raw waste
    uater load or quantity of solid waste.  Alternatively, he may
    choose to study one or more of the 150 product/process which have
    data in the system.  Many options are available to modify labor
    rate, materials usage, etc. in lieu of using the default values in
    the model.
(OUT)  Output of model: The  output of the model  consists of  a treatment
    plant design and associated costs.  The model predicts the effluent
    quality of all waste water parameters on the list of 129 toxics and
    PLOD, COL, TOC, TSS and  ammonia.  Cost data  for capital  and
    operation are listed with the materials necessary for support of
    the operation (chemicals such as alum, lime, etc., and energy)*
(APP)  Applications of model: The model has been used by the Effluent
    Guidelines Division's Organic chemicals Project to design and cost
    treatment options for the BAT study.
(HDW)  Computational system  requirements - Hardware: Mainframe IBM
    370/168 ;Disc storage 350K bytes virtual stora on line to run.
    ;Printer IBM 1403
(LHG)  Computational system requirements - Language(s) used: Cobol
(QSK)  Computational system requirements: Operator Knowledge/Skills:  Pro
    granming ;Engineering
(WTP)  Mater Models - Type of model: treatment technology for toxics,
    conventional and non-conven pollutants.
(CON)  Processes and constituents included in model: Toxic chemicals
(CPL)  Complexity level of model: transient mass balance


                             1323

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                             Accession So.   15302000107    (cont)

(REF)  References - User manuals^  documentation^ etc.:
    Documentation is now In progress.
(ROR)  Responsible Organization:  Office of  water.Cffice of Hater
    Regulations and Standards.Eff luent Guidelines Division.
                             1324

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                             Accession Ho.   15603000003

(DQ)  Date of Questionaires 12-02-82
(NAM)  Name of Data Base of Model:  Haste Resources Allocation Program
(ACR)  Acronym of Data Base or Model:  WRAP
(MED)  Media/Subject of Data Base or Model:  Solid Haste
CABS)  Abstract/Overview of Data Base or Model:  WRAP is a waste
    resources allocation program which is coded in FORTRAN.   This
    modeling program consists of a series of equations which consider
    the sources of solid waste generation,  a set of sites, and
    processes to be considered at those sites,  as well as various site
    and process capacity constraints.   It RAP  sorts out the various
    allocation options specified by the user and indicates a preferred
    allocation solution which is the minimum cost plan that  meets all
    the user-supplied constraints.   Use of  the  model enables users to
    study and analyze the costs and implications of all available
    alternatives under consideration.   8HAP  has been used for decisions
    regarding solid waste management in Massachusetts, in Illinois, and
    in St. Louis, Missouri.
(CTC)  CONTACTS: Frank McAllster     U.S. EPA,  Office of Solid Haste
    Loc: 401 M Street, S.H. Ph: (202)  382-2223
    Loc: Washington, D.C. 20460
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 12-28-82
(CAP)  Functional capabilities of model: WRAP is an optimizing model
    which selects, sizes, and locates solid  waste processing and
    disposal facilities.  Costs for the solid waste systems  are
    determined by a specialized fixed charge linear programming
    algorithm.  There are two operational modes available: static and
    dynamic.  The dynamic operating mode allows for two to four
    planning periods.  Planning periods are  expressed in years, and, in
    the dynamic mode, are consecutive over  the  total planning period*
    The model consists of a series of equations which consider the
    sources of solid waste generation, a sat of sites, and processes to
    be considered at those sites, as well as various site and process
    capacity constraints.  The processes can be transfer stations,
    resource recovery processes (including the  extraction of
    recoverable resources to be marketed),  secondary processes (which
    receive the residue of primary processes as input) and various
    disposal processes.  WRAP further considers many transportation
    route alternatives from sources of waste generation to sites, and
    from sites to sites, with due allowance  for site traffic
    constraints.
(ASM)  Basic assumptions of model:  HRAP is  a fixed-charge linear
    programming model, using as the optimizer an algorithm developed by
    Dr. Warren Walker of Cornell University  in  Ithaca, New York.  The
    fixed-charge capability of the model permits the representation of
    economies of scale in process costs.  Since the model is
    cost-minimizing, it will seek out the lowest cost segment at any
    level of tonnage.  Thus the capability  of treating cost  in two
    parameters (fixed and variable, or intercept and slope)  permits the
    model to represent economies of scale at any level of accuracy
    desired.  In the actual model applications, three segment
    representations have been used for nearly all processes.


                             1325

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                             Accession Do.  15603000003    (cont)


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                             Accession No.   15603000003    (cont)

    Chicago/ WRAP was used to evaluate the  economic feasibility of
    various solid vaste management and recovery options facing the
    decision-makers.
(HDW)  Computational system requirements -  Hardware:  Mainfrane IBM 360
    ?Disc storage (or tape) 256,000 words core Magnetic tape storage
    (or disk) >Printer 132 position line printer ; or tape/disk (input)
(LNG)  Computational system requirements -  Language(s)  used: Fortran
(OSK)  Computational system requirements: Operator Knowledge/Ski11s:  Pro
    grannlng ;Engineering

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                             Accession No.   16301000102

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model:  Strategic Environment Assessment
    System
(ACR)  Acronym of Data Base or Model:  SEAS
(MED)  Media/Subject of Data Base or Model:  Air ;Noise ^Radiation
    jSolid waste ;Toxic substances  ;Hater Industry/economic
(ABS)  Abstract/Over view of Data Base or Model: SEAS is a policy
    sensitive emissions data base/  or alternatively a major policy
    analysis model for the environmental/ energy/economics areas and
    their interactions.  SEAS is really large in terras of numbers of
    variables.  It is estimated that SEAS has over 100/000 variables.
    As the scope and number of Federal regulatory activities have grown
    in recent years/ so has the need for Federal policy-makers to
    anticipate what effects new regulations  will have on the economy/
    energy and water usage as well  as the environment including land
    use and/or abuse.  Both the Environmental Protection Agency (EPA)
    and the Dept. of Energy (DOS) have responded by developing a number
    of comprehensive simulation models.  The SEAS model is one of
    these.  As a computer tool/ SEAS projects the magnitude and sources
    of environmental impacts resulting from  input assumptions
    concerning the stringency and cost of environmental regulation/
    future levels of energy supply/ and economic activity. Such
    projections can be developed on levels including the nation/ EPA
    Regions/ State/ or Air Quality Control  (AQCR) Regions. SEAS is an
    interactive computer model and  associated data base/ which
    functions via a set of energy/  economic/ regional/ and
    environmental modules.  From the Energy  Demand Modules/ an Energy
    Network Simulator is fed with assumptions and energy demand
    relationships; economic assumptions together with environmental
    assumptions are fed into Economic Modules.  In turn/ the Energy
    Network Simulator and the Economic Modules feed into
    Regionalization Modules.  Then/ the Regionalization Modules
    together with the environmental assumptions are fed into the
    Environmental Modules/ which finally produce Environmental Effects
    Expected Under the selected Scenario up  through the year 2000/ to
    support long-range program planning/ analysis* prepare
    Environmental Impact Statements/ etc«
(CTC)  CONTACTS: John J. Coleman     EPA Office of Research and
    Development
    Loc: Office of Environmental Engineering and Technology    Ph:
    (202) 426-9434
    Loc: 401 M Street/ SW/ Washington/ DC 20460
(STA)  Data Base status: Operational/Ongoing
(CAP)  Functional capabilities of model: SEAS usually projects air
    pollutants, trace elements to the air/  solid uaste/ and land and
    water use.  The system can also project  certain data regarding
    labor requirements and occupational health and safety needs*  EPA
    has used SEAS to identify the range of environmental futures likely
    to result from alternative patterns of energy and economic
    development.  SEAS contains a series of  comprehensive data bases/
    Including:  environmental coefficients for industrial activities
    (i.e./ emission factors/ land use/ water use/ occupational safety)/


                             1328

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                             Accession Ho.   16301000102    (cont)

    pollution control costs, energy investment costs,? regional
    deployment patterns?  economic factors?  technological change/
    materials substitution? consumption patterns.  Eventually effects
    uill include damage,  disability, deaths, and disease as well  as
    cost-effectiveness of mitigation measures.
(ASH)  Basic assumptions  of model: The SEAS logic is relatively simple.
    Economic and energy modules simulate national activity levels for
    over 500 SEAS sectors; the regionalization module disaggregates
    these data to one of  several possible geographic subdivisions/ and
    the environmental modules use data on emission coefficients,
    control strategies, economic and energy activities as well as
    eventual effects relationships* to calculate emissions, resource
    requirements, effects/ and control mitigation strategies versus
    costs.
(IMP)  Input to model: SEAS modules use an extensive data base
    containing detailed environmental/ energy-related, and economic
    information; and, eventually, cause-effects relationships along
    with mitigation and recovery indices.  Every effort is made to
    maintain current data through frequent updating and validating.
    Many types of information are presented in a consistent manner with
    much of the information keyed to specific industrial activities.
    As a result, the SEAS data base is now considered a resource in its
    own right. The more than 50 files that comprise the SEAS data base
    are based upon information from numerous government reports,
    documents and communications with government labs, university
    personnel, contractors, and trade associations. In addition,
    indices of cause-effects (e.g., deaths, disabilities, damage, and
    diseases from accidents, pollutants, etc.) associated with various
    activities are planned to be included in the overall SEAS data base
    system as it grows.
(OUT)  Output of model: SEAS forecasts can be displayed in several
    formats, includi graphic presentation designed to provide ready
    visual reference to impacts and trends.  Eventually, computerized
    graphs of effects and emissions over regions and sectors of
    Interest will be used to pull together the data with management and
    technology control measures against several policy postures.
    (i.e., Me plan to integrate computer graphics into the assessment
    process, converting endless mazes of emissions, effects, sectors,
    and regionalized sources and depositions into colorful charts,
    graphs, and maps that will help administrators and managers to spot
    trends and make mutually satisfactory decisions more quickly and
    efficiently than before. Otherwise, masses of printouts piled
    several feet high would offer more data Indigestion than relief to
    the problems SEAS can help to resolve as an effective and
    efficient, as well as accurate and comprehensive, policy-sensitive
    emissions data base and modeling system.
(APP)  Applications of model: Several applications of SEAS exist and
    are growing: The comprehensive Environmental Outlooks, yearly
    reports to Congress,  analyse national and regional environmental
    Impacts of different economic/energy scenarios—a high growth and a
    low growth scenario.  The Ohio River Basin Energy Study (CRBES) used
    SEAS to obtain estimates of future trends in pollutant discharges


                             1329

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                             Accession No.   16301000102     Ccont)

    in the Ohio River Basin area,  with emphasis on energy-related
    industries.  SEAS was used to  analyze changes in pollutants
    attributable to materials substitution such as aluminum and
    plastics for steel in automobile construction.  The  5 year R&D  plan
    (Research Outlook) required by Congress and the Integrated
    Technology Assessment studies  of energy development  within OEET are
    developed each year.   Additional applications include OSHA,  Health,
    Solid Waste, and Water Quality modeling*   Future plans include
    indoor air quality Studies, Acid Rain Mitigation studies,  etc.
(HDW)  Computational system requirements - Hardware: Calculator
    /Mainframe IBM /Disc  storage Largest amount avail Magnetic tape
    storage Varies by application  >Printer Any model
(LUG)  Computational system requirements - Language(s) used: Fortran
    Cobol
(OSK)  Computational system requirements: Operator Knowledge/Skills: Pro
    granting Engineering ;Policy  analysis, physics, environra
(ATP)  Air Models - Type  of model: Gaussian dispersion /    Numerical
    dispersion;    Numerical
(OAQ)  yodel reviewed and approved by OAQPS? NO
(PMP)  Production method  of primary pollutant in model:  Primary
    (emitted directly into atmosphere);    Secondary
(MPR)  Process used to remove pollutant from atomosphere: Negligible
    removal jChemical ;Physical ;Combination
(THE)  Sample averaging time used: less than 24 hours ;more than 24
    hours
(SRC)  Source of pollutant: Combination of all sources
(RNG)  Distance traveled  by pollutant from source: less  than 60  km
    ;60-100 km ;more than 100 km
(REF)  References - User  manuals,  documentation, etc.:
    Documentation is so extensive  that it might be
    desireable to refer to the complete, updated reference list,
    entitled:  "SEAS/A Guide to SEAS Documentation", the MITRE
    Corp., January, 1980, MTR-79W00355
(CUM)  Contact name(s): Coleman,J.J.
(COR)  Contact organization; EPA Office of Research and  Development
(ROR)  Responsible Organization: Office of Research and  Development.
                             1330

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                             Accession Ho.   16301000103

(DQ)  Date of Questionaire; 12-02-82
(NAM)  Name of Data Base of Model:  Regional  Episodic Grid Model
(ACR)  Acronym of Data Base or Model: REGMOD
(MED)  Kedia/Subject of Data Base or Model:  Air
/S0<4» or fast  and reversible (e.g.
    NQ/NO<2>). REGMOD is appropriate for large-scale energy growth
    studies. The model can be used in conjunction with subregional
    'trajectory* and local "straightline Gaussian' models in
    multiple-scale analyses.  In this application* local-scale NAAQS
    and PSD analyses can therefore incorporate realistic time-dependent
    'background' concentrations, as supplied by the regional  scale
    model.
CCTC)  CONTACTS: Michael Hills  Teknekron Research, Inc.
    Loc: 69 Hickory Drive Haltham, Mass. 02154  Ph: (617) 890-6270
CSTA)  Data Base status: Operational/Ongoing
(CAP)  Functional capabilities of model: REGMOD computes short-term
    average pollutant concentrations and deposition patterns for a
    coupled set of pollutants.  The solution of the two-dimensional
    advection-diffusion equation is carried out in a spatially and
    temporally varying wind field using a Fast Fourier Transform (FFT)
    technique which is both accurate and computationally efficient.
    REG NOD includes first-order transformation of primary to secondary
    pollutants and the wet and dry removal of both species.
(ASM)  Basic assumptions of aodel: REGMOD does not explicitly account
    for pollutant diff usion--rather, diffusion is implicitly considered
    by advection in a spatially and temporally varying wind field. The
    model assumes that the uindfield is two-dimensional, and that
    pollutants are uniformly mixed through a constant vertical depth.
(IMP)  Input to model: Inputs to the model include:  job specification,
    dispersion and removal parameters, time sequences of gridded wind
    fields, and gridded emissions inventory.
(OUT)  Output of model: REGMOD produces gridded sequences of
    concentration or deposition fields for each pollutant.  An output
    tape or disk file may be created for interface with post processing
    packages which allow for 1) graphical display of concentration
    fields, and 2) concentration of output fields with those of
    sub-regional or local-scale models.
(APP)  Applications of model: REGMOD has been used by Teknekron
    Research, Inc. for a number of regional-scale energy growth
    studies, including . The Ohio River Basin Energy Study (ORBES) .
    Regional Air quality Impact Assessment of Hood Burning for TVA .
    Air Quality Benefits of the Increased Use of Solar Power . Analysis
    of Coal Conversion Air Quality Impacts
(HDW)  Computational system requirements - Hardware: Mainframe IBM
    360/370, 3033 ;Disc storage for tape 2000 word time step if results


                             1331

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                             Accession No.   16301000103    (cont)

    saved.  ; Magnetic tape storage or disk ;Card reader/punch a
       Computational system requirements - Language(s)  used: Fortran
(OSK)  Computational system requirements: Operator Knowledge/Skills; Pro
    graraming ^Meteorology
(ATP)  Air Models - Type of model:  Numerical dispersion

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                             Accession No.   16301000104

£DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model:  Regional Climatological Disperson
    Model
(ACR)  Acronym of Data Base or Model:  RCDM
(MED)  Kedia/Subject of Data Base or Model: Air
(ABS)  Abstract/Overview of Data Base  or Model: The Regional Dispersion
    Model (RCDM) Is a steady-state regional-scale two-dimensional
    dispersion model for predicting long-term average (e.g. monthly or
    yearly) concentrations from single or multiple point and area
    sources at distances greater than  50 km.   the model is designed for
    a coupled set of pollutants linked by a mechanism which is either
    slow and irreversible (e.g. SQ<2>/SO<4>), or fast and reversible
    (e.g. N0/N0<2».  The long-term average concentration is based upon
    a regional scale diffusivity and a resultant average wind vector
    field. Because it is a steady state model/ RCDM enjoys a decided
    cost-advantage over trajectory or  grid  models for long averaging
    times and large source inventories.  RCDM is therefore especially
    useful for predicting the effects  of energy growth on seasonal or
    average annual air quality and air quality related values such as
    pollutant dry and wet deposition*
(CTC)  CONTACTS: Carl W, Benkley    Teknekron Research, Inc.
    Loc: 69 Hickory Drive Waltham,  Mass. 02154  Ph: (617) 890-6270
(STA)  Data Base status: Operational/Ongoing
(CAP)  Functional capabilities of model: RCDM computes long-term
    average pollutant concentrations or deposition patterns for a
    coupled set of pollutants/ based on the analytical solution of the
    steady-state two-dimensional advection-diffusion equation. The
    model incorporates mesoscale diffusivity, resultant wind vector/
    wet and dry removal* and either a  linear decay mechanism or an
    equilibrium mass coefficient.  The model can handle either point or
    area sources, and any arbitrary rectangular coordinate system.
(ASM)  Basic assumptions of model:  RCDM assumes that the time averaging
    of pollutant parcels can be represented by horizontal diffusion in
    a two-dimensional steady-state wind field.  It also assumes that a
    single set of dispersion and removal parameters is appropriate for
    an Individual source, independent  of distance or travel time.
(IMP)  Input to model: Inputs to the model  include:  job
    specifications/ dispersion and removal  parameters, resultant wind
    field, and emissions inventory.  RCDM prints all input information.
(OUT)  Output of model: RCDM produces  a gridded field of time-averaged
    concentration or deposition for each pollutant.  An output tape or
    disk file may be created for interface  with a post-processing
    package which allows for graphical display of output fields.
CAPP)  Applications of model: RCDM has been used by Teknekron Research/
    Inc. to predict annual average S0<2> and S0<4> concentrations  over
    the eastern United States for the  Ohio  River Basin Energy Study
    (QRBES), using the Sulfate Regional Experiment (SURE) emissions
    inventory.  The results have compared favorably for both pollutants
    with SURE measured values.
(HDW)  Computational system requirements -  Hardware: Mainframe IBM
    360/370, 3033 ;Disc storage (or tape) 2000 HOC if results saved)
    ^Magnetic tape storage or disk ^Printer 132 position line pri  Card


                             1333

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                             Accession Ho.  16301000104    (cent)

    reader/punch and tape/disk (input)
(LNG)  Computational system requirements - Language(s) used:  Fortran
(OSK)  Computational system requirements: Operator Knouledge/Skills: Pro
    gramming ;Heteorology
(ATP)  Air Models * Type of model:  Numerical dispersion
(OAQ)  Model reviewed and approved by OAQPS? NO
(PHP)  Production method of primary pollutant in model: Primary
    (emitted directly into atmosphere)
(MPR)  Process used to remove pollutant from atomosphere: Combination
(THE)  Sample averaging time used:  more than 24 hours
(SRC)  Source of pollutant: multiple point (more than 10-20)
(AR)  Area where sample was collected: level or gently rolling terrain.
(RNG)  Distance traveled by pollutant from source: more than  100 km
(R£F)  References - User manuals, documentation, etc.:
    Fay, James A./ and Jacob T. Rosenzweig, 1980:
    An Analytical Diffusion Model of Long Distance Transport  of
    Air Pollutants, Atmospheric Environment 14, pp. 355-365.
    Niemann, B.L., M.T. Mills, A.A. Hirata, and E*Y. Tong, 1980:
    Air Quality Meteorology in the Ohio River Basin—Baseline and
    Fugure Impacts, Teknekron Research, Inc., 270 pp.
(CNM)  Contact narae(s): Benkley,C.M.
(COR)  Contact organization: Teknekron Research, Inc.
(RQR)  Responsible Organization: Office of Research and Development.
                             1334

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                             Accession Ho.   16301000105

(DQ)  Date of Questionaire: 12-02-82
(NAM)  lame of Data Base of Model: Interregional Coal Analysis Model
(ACR)  Acronym of Data Base or Modelt ICAM
{MED)  Media/Subject of Data Base or Models  Industry/economic
CABS)  Abstract/Overview of Data Base or Model;  The ICAK Is a large
    scale simulation model designed to assist in coal development
    planning and the analysis of alternative policies toward coal
    development. The model uses a mathematical programming approach but
    is constrained to replicate existing and announced coal nines,
    power plants and transportation links*   The model is run in
    cooperation with the Coal Transportation Model which simulates  rail
    and barge transportation networks and generates transportation
    costs for each link*  The ICAM contains exterior data bases on  coal
    mining and transport and coal preparation and electric power plants
    
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                             Accession No.   16301000105    (cent)

    link/ etc*  or regional aggregates of these results.

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                             Accession No.   16301000107

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Utility  Simulation Model
(ACS)  Acronym of Data Base or Model: USH
(MED)  Media/Subject of Data Base or Model: Industry/economic
(ABS)  Abstract/Overview of Data Base or Model:  The Utility Simulation
    Model projects the nature and implication of investment and
    operating decisions made by electric utility firms in each state
    from 1976 to beyond the year 2000* as these  decisions are
    influenced by energy and environmental  policies/ technology
    choices, and economic conditions. This  highly flexible model makes
    it possible to investigate the impact of numerous alternative
    policies while coherently and consistently accounting for many
    technical, economic, energy, and environmental factors that
    directly influence decisions made by utility companies*
(CTC)  CONTACTS: Sd«ard H. Peckon
    Loc: E.H. Peckon and Associates, Inc.,  5537  Hempstead Way,
    Loc;Springfield, VA 22151  (703) 642-1120
(CAP)  Functional capabilities of model: The USM consists of a number
    of interconnected computer modules and  data  sets that simulate
    decisions for system planning and operation, their impact on
    utility finance and their environmental effects.  The model is
    driven by a set of exogenous scenerio elements that include
    electricity, demand levels, financial market conditions, fuel
    prices and availability, advanced technology employment, and
    environmental regulations.  For each scenerio, the model calculates
    the following by geographic region, for future years up to 2000 or
    beyond. System characteristics?  Fuel use by type, composition and
    region of origin; electricity generated by type of unit; capital
    requirements by source? plant and equipment  requirenents; releases
    of air and water pollutants, and solid  wastes. Financial statistics
    for utility firms Average electricity prices.
(ASM)  Basic assumptions of model:  The Utility Simulation Model
    operates under certain basic assumptions, each of uhich are
    functionally modular so that any may be redefined by the user.
    These assumptions include electricity demand growth rates for peak
    and average growth, environmental regulations applicable to each
    fossil generating unit, fuel prices and real cost escalation for
    fuel and capital items, alternative capacity expansion plans, and
    macro-economic conditions affecting utility  finance.
(INP)  Input to model: The data needs of the OSM are extensive.  Each
    module has its own data set, each of uhich can be modified to
    accomodate new or more specific information.  The various data sets
    can be grouped into the following functional categories:
    Generating Plant Data; Data on Primary Energy and Fuel Supply? Data
    on Economic Factors; and environmental  and regulatory data. Within
    these categories the data sets are further classified by source, as
    empirical or modeling data. The modeling data typically undergo an
    intermediate analysis before being specified as the part of the OSM
    database.  Many sources are used for comparison and completeness
    and the various data sets continually are refined and updated as
    new source data become available.
(OUT)  Output of model: Output froa the utility  simulation model nay b«


                             1337

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                         Accession No.   16301000107    (cont)

classified into two categories*  That which is used for interactive
analytical purposes and that which is used to produce summaries.
Here/ we only summarize the latter. Planning Input (PINI/M).   The
plan model input data are organized in a top-down fashion.   First
of all are the national data required by the OSM.  Second are the
required county data; third, the state data; and finally the unit
data.  In general the national data are default data, and include
several switches and other scenario controls.  The user has the
ability to specify such parameters as nuclear deferral years,
siting methodologies, emission limits for SIP, NSPS and RNSPS
units, specific O&M cost data, stringent pollution controls,  water
pollution control regulations, estimates for construction costs of
various generating facilities, characterization of fuels used,
assignments of fuel for any future year, a dispatch hierarchy (with
the ability to specify those generating technologies to be
dispatched on a least-cost basis), default State Implementation
Plans and construction cost spreads.  Following the national data
are county data including siting weights; each county is assigned a
weight on the basis of its relative ability to site a coal, oil,
nuclear or minemouth coal generating facility,  state specific data
follow the county data; for each state, demand is first printed
including such variables as pumped-storage efficiency, energy loss
factor, the effective capacity factor (which is the capacity factor
of purchase power), and then peak energy demand over the entire
simulation.  The next state data required and printed out by PINI/M
are the Initial composition of the system from forms 1 and 1M.
Data from these forms (Including initial operation and maintenance
expenses and initial values) should correspond to the unit-by-unit
data, fhe planning input shows unit-by-unit data for all existing
and and future generating technologies.  For each unit, the data
base specifies the owner state and its reliability council; the
name of the unit; the unit number; the abbreviation of the
company's name and the FPC flag and fraction owned. The
unit-by-unit data base also shows the state and county of location,
the type of prime mover, the rated capacity of the unit, the
primary or alternate fuels used, the year the unit came online, the
condenser cooling type, the re-rate date, and the amount of rerate,
the conversion date, and the fuel with which the conversion will
occur, the FPC plant and unit ID numbers, and the piece number, if
the unit is a jointly owned facility.  For each fossil facility,
available Unit Data and Fuel Data are specified.  Included in the
Unit Data are the heat rate, if known, (otherwise default heat
rates are used based on the year the unit cane on line), the SIP
SG<2> limit the unit is required to meet, and the unit's S0<2>
control device and efficiency.  As future research generates more
Unit Data the other data fields will be used.  Also for each unit
at least one fuel is specified.  This fuel is characterized by its
heating value, its first year of use, its sulfur and ash content,
and its price.  In the case of unit conversions a second fuel data
card is given and the data conversion is assigned in the proper
place. Planning Summary (PSUMI/M).  The planning summary Is the
first report generated by plan*  It shows results of PLAN


                         1338

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                         Accession No.   16301000107    (cont)

algorithms which calculated the system composition tor each state
over the entire simulation period.  Also shown are system size,
system need/ and peak demand.  Included in this report are
analytical reports enabling analysis of capacity expansion and
dispatch routines.  Finally the planning summary reports each steam
unit built by state; for each steam unit built, the listing shows
fuel type, size (in megawatts)/ the size of future "conjured"
units, and their location. Location State Capacity Factors and
Generation Reports (LCAP).  The plan model is run for the entire
simulation and the results are stored on magnetic tape*  These
results can then be accessed by smaller post-processors,  the first
such post-processor prints out the LCAP report.  The LCAP report
takes the PLAN results which are generated on the basis of owner
state and allocated to the state of location. The LCAP report shows
capacity and generation by state over time by class of unit. The
Summary Resource and Residual Report (SUMR&R). The summary resource
and residual report aggregates emissions to air and land, and
resource consumption by state of location for any year of the
simulation and for any region; output Is presented by year.  On the
first page of every output the regions are defined.  Under the
category "emissions,11 we show S0<2> emissions for coal and oil
units broken down into SIP, NSPS and RMSPS units.  N0 emissions
are calculated for coal oil and gas units and particulate emissions
for coal and units, with the units again broken down into the
separate classes.  If flue gas desulfurization devices were built
to meet emission limits, the sludge generated by these units is
calculated and reported.  Also reported in SUHR&R are water
consumed due to cooling and scrubbing devices.  Fuel Btu's are
calculated for coal, gas and nuclear steam units.  Distillate is
calculated for peaking units:  in the next table for SUHR&R, fuel
consumed is calculated from the fuel Btu table.  Finally the report
shovs the number of Btu's used to transport ccal from the point of
origin to the point of use. Scrubbers Build Report (SCRADDI/M).
The scrubbers built report aggregates scrubbers by oajor
ownerstates.  It shows, for every scrubber, the location of the
scrubber, size of the unit, "net capability," the on-line date of
the scrubber, the annual average of controlled SQ<2> emissions and
pounds per million Btu, the on-line data of the unit, annual
average fraction of S0<2> scrubbed, the capital cost in millions in
1975 dollars, the fixed operating cost at a capacity factor of 1.0.
Finally the listing shows the scrubber type, and the annual average
emissions in pounds per million Btu's.  The report may be summed
for any aggregation of regions defined by the user. The Capacity
Penalty Report (CAPPEN),  The CAPPEH may be obtained for any year
or region.  The first report, Megawatts Scrubbed by FGD Device
represents the amount of flue gas that is scrubbed relative to the
total unit size. The report shows FGD by "limestone11, wet
limestine, magnesium, and dry scrubbing.1*  When an FGD or
particulate device is installed, capacity penalties occur.  These
are summarized in the capacity penalties report.  The actual
generating capacity of the unit is then reported at the bottom of
the capacity penalty report* Financial Report (FIHI/M).  Reports


                         1339

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                             Accession Ho.   16301000107     {eont)

    may be obtained for any year in any state.   Summary  includes
    operating results,  including price of electricity in terms  of
    generation,  revenues,  costs and profits*  1  balance  sheet includes
    es assets,  equities,  liabilities*.   Other statistics  such return on
    rate base after taxes, types of financing, capitalization and
    investment and pollution control equipment are also  given*  Sources
    and uses of funds are  summarized,   the cost  allowances  in the  set
    price in a given year  are shouru  Finally the report calculates
    levelized revenue requirements from the user specified  start period
    to the user's specified end period «ith a given discount rate*
    NOTE;  The convention  of using I/M indicates whether output is
    disaggregated to private (investor) and public (municipal)
    utilities.
       Computational system requirements - Hardwares Mainframe  special
    CDC systeta configuration jOisc storage 1 m Magnetic  tape storage
    1-8 ^Printer any model ?Card reader/punch
(LNG)  Computational system requirements - Language(s) useds Fortran
(OSK)  Computational system requirements; Operator Knowledge/Skills: Pro
    gramming }Engineering  ^Economics
(REF)  References - User manuals, documentation, etc.s
    Van Horn, Andrew J, et. al., "Review of Nea
    Source Performance  Standards for Coal Fired  Utility
    Boilers:"  Phase 3  Final Report, Pro3ect Officer Lowell
    Smith, Officer of R&D, Environmental Protection Agency,
    EPA-600/7-79-215, December 1979.
    Ohio River Basin Energy Study:  Air Quality  and Related
    Impacts Volume III, "Selected Impacts of Electric
    Utility Operations  in  the Ohio River Basin <1976-2000):
    An Application of the  Otility Simulation Model," by
    feknekron Research, inc., Berkeley, CA (Report No.
    R-001-EPA-80); series  edited by J. Stukel, University
    of Illinois, subcontract under Prime Contract R805588»
(ROR)  Responsible Organization: Office of Research and  Development*,
                             1340

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                             Accession No.   16301000108

(DQ)  Date of Questionaire:  12-02-82
(NAM)  !«ame of Data Base of  Model:  Coaltoun Impact Assessment Model
(ACR)  Acronym of Data Base  or Model:  CQALTOWN
(MED)  Media/Subject of Data Base or Model: Industry/economic
    jenergy-socioeconoraic impact
(ABS)  Abstract/Over view of  Data Base or Model:  COALTOWN simulates
    future employment, population,  wage levels,  migration,  State and
    local tax receipts, intergovernmental transfers,  and local
    government expenditures  for counties in Montana,  Wyoming, and North
    Dakota.  The model is designed to assess impacts  by comparison  of
    results when one or more energy projects are included with baseline
    results* The model has three parts — socioeconoaic, State and
    local government revenues, and local government expenditures.  The
    structure of CQALTQWN is different from an economic base model
    although modified economic base concepts are used.  Stochastic
    estimates of the major parameter of the model are used*  A
    multiplier is not calculated by the model. Rather,  predictions  of
    'ancillary* employment are made by use of equations.  The model is
    dynamic in that it uses  lagged variables, and because
    interrelationships among variables in the equations of the model
    produce reverberations in years following an initial change*
    Although the the coefficients in the equations of the model are
    representative of Northern Plains counties,  the application to  a
    specific county yields results which will be different from that of
    counties with other background conditions. The rcodel is designed
    for near term prediction and assessment purposes.  Principal uses
    are:  1* Predict absolute levels of socioeconomic aggregates for
    planning purposes, 2. Assess impacts on socioeconomic aggregates
    for purposes of evaluation of a facility, and 3.  Test the
    sensitivity of socioeconomic and fiscal aggregates to key policy
    measures.
(CTC)  CONTACTS: Lloyd Bender   O.S.D.A., Economic Development Division
    Loc: Montana State University     Ph: (406)585-4344
    Loc: Bozeman, Montana
CSTA)  Data Base status: Operational/Ongoing
(CAP)  Functional capabilities of model: The model has limitations  and
    shortcomings.  First, it estimates only aggregate parameters
    because predictive accuracy declines with the level of
    disaggregation.  Second, accurate results are very ouch dependent
    on the accuracy of data supplied by users as as inputs.  Third, no
    capability now exists to estimate the distribution of new people
    among counties, and local governments within a county.  Finally,
    the level of aggregation to some extent prevents an analysis of the
    distribution of impacts among classes of residents in the area.
(ASM)  Basic assumptions of model: The model assumes that relationships
    can be calculated between aggregate socioeconomic indicators based
    on historical information and that these estimated relationships
    will be reasonably accurate predictors of the same relationships in
    the near and medium term future.
(INP)  Input to model: The user supplies two types of information:  data
    regarding the energy project Itself, and background Information
    related to the region where the development will take place,  these


                             1341

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                             Accession No.   16301000108    (cont)

    are labeled 'exogenous variables"1. Information about the project
    itself includes the number of workers directly employed In
    operating and constructing the proposed facility in each year;  the
    megawatts of electricity generated or the tons of coal mined each
    year, and optionally, the labor force participation rate of the
    migrant population.
(OUT)  Output of model: The COALTOWN output generates the following
    information for each year of the simulation run: the number of
    workers employed by primary industries, the number of workers
    employed in ancillary jobs, the number  of ncnfarm proprietors
    (carters of businesses and self-employed persons), total employment,
    relative real wages in the service sector as a percent of the base
    year, migration, population, the employment/population ratio, and
    number of school children. Summary statistics for state, county,
    school, and town revenues are also given, along with estimates  of
    school and county spending. The detailed tax output breaks revenues
    into the following categories: coal severance, gross proceeds,
    taxes on electricity generation, other  taxes generated by mines and
    generators, taxes on people and businesses (for example, incomes
    liquor, cigarette, and auto registration taxes), and
    intergovernmental flows.  Information is also given regarding
    revenue sources peculiar to each State, such as the Wyoming sales
    tax, the school foundation program, or  trust funds.
(APP)  Applications of model: The COALTOWN  model has been operated  to
    respond to numerous requests for information from Federal agencies,
    various components of state governments, universities, national
    laboratories, congressional offices, etc.  The information provided
    has ranged from projections of local impacts from coal mines for
    environmental impact study purposes to  projections of impact of
    increased synfuels development in multi-county regions.
(HDW)  Computational system requirements -  Hardware: Mainframe
    Honeywell ^Printer standard
(LKG)  Computational system requirements -  Language(s) used: Fortran
(OSK)  Computational system requirements: Operator Knowledge/Skills: Pro
    gr aiming
(REF)  References - User manuals, documentation, etc.:
    Bender, Lloyd D., George S. Temple and  Larry C.
    Parcels.  "An Introduction to the CQALTQNN Impact Assessment
    Model."  Working Paper.  Environmental  Development Division,
    U.S. Dept. of Agriculture, May 1980.
(CKM)  Contact name(s): Bender,L.
(COR)  Contact organization: U.S.D.A., Economic Development Division
(ROR)  Responsible Organization: Office of  Research and Development.
                             1342

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                             Accession No.   16301000111

(DQ)  Date of Questionaire;  12-02-82
(NAM)  Kame of Data Base of  Model:  Coal Transportation  Model
(ACR)  Acronym of Data Base  or  Model:  CTM
(MED)  Kedia/SubJect of Data Base or Model:  Industry/economic

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                             Accession No.   16301000112

(DQ)  Date of Questionaire:  12-02-82
(MAM)  Kane of Data Base of Model: AIRTEST
(ACR)  Acronym of Data Base or Model:  AIRTEST
(MED)  Media/Subject of Data Base or Model:  Industry/economic
(ABS)  Abstract/Overview of Data Base or Model:  The Air Test Model is a
    preprocessor to the Utility Simulation  Model/  which can also  be
    used as a stand alone model.  Using actual fuel and specified
    generation for each power plant or generating  unit, it calculates
    for one year the controlled and uncontrolled emission of SQ<2>/
    ND, and particulates.  In addition/  the model selects the  least
    levelized cost fuel and pollution control option to meet unit
    specific emissions standards.
(CTC)  CONTACTS: Edward H.  Peckon
    Loc: E.H. Peckon and Associates/ Inc./  5537  Hempstead Way
    Loc: Springfield/ VA 22151  Ph: (703) 642-1120
(STA)  Data Base status: Operational/Ongoing
(CAP)  Functional capabilities of model: The options to meet the
    applicable SQ<2>/ N0/ and particulate standards currently
    include: actual 1979 for fuels burned in the generating unit/ coal
    washing on a coal specific basis/  low sulfur coal  options for each
    unit/ coal-blending to meet unit specific standards/ wet and  dry
    F.D.G./ E.S.P. *s/ fabric filters/  low excess air/  staged
    combustion/ flue gas recirculation/ limestone  injection burners/
    and oil hydrodesulfurizatlon.  The Air  Test  Model  passes each
    unit's low cost and fuel characteristics on  to the Utility
    Simulation Model.
(ASM)  Basic assumptions of model: Assumes  minimization of levelized
    cost of fuel and pollution control vs.  the decision factor in
    selection of fuel and technology.
(IMP)  Input to model: Actual fuel and specified generation for each
    power plant or generating unit to be considered.
(OUT)  Output of model: Controlled and uncontrolled emissions to  S0<2>/
    N0 and particulates/ pollution control option and cost and fuel
    type and cost for each unit.
(APP)  Applications of model: AIRTEST is currently being used in  the
    Acid Rain Mitigation Strategies research program.
(HOW)  Computational system requirements -  Hardware: Mainframe CDC 7600
    and IBM ;Disc storage 200 tracks approxim Printer  Any model line
    printer
(LNG)  Computational system requirements -  Language(s) used: Fortran
(OSK)  Computational system requirements: Operator Knowledge/Skills: Pro
    gramming ^Engineering
(REF)  References - User manuals/ documentation/ etc.:
    Carol Bouan/ Don Clements/ Michael Moffet/ Andy
    Van Horn,  AIRTEST USER'S GUIDE*  Nov.  1980,
    Teknekron Report No. (RM-060-DQE80)
(ROR)  Responsible Organization: Office of  Research and Development.
                             1344

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                             Accession No.   16302000104

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Prefixed One-Dimensional Flame  Code
(ACR)  Acronym of Data Base  or Model: PROF
(MED)  Media/Subject of Data Base or Model: combustion
(ABS)  Abstract/Overview of  Data Base or Model:  The PROF code can  be
    used to predict the detailed chemical kinetic combustion and/or
    pollutant formation events which occur  in a  wide variety of
    experimental and practical combustion devices.  Both steady/ free
    and confined prefixed flames/ where gaseous  diffusion is important/
    can be treated by the code.  Also/ well-stirred reactor/ plug-flou
    reactor/ and fixed mass  time-evolution  chemical kinetic problems/
    where diffusion is not explicitly treated/ can be modeled by  the
    code.  The code was completed in February 1978 by Acurex
    Corporation/Energy & Environmental Division  of Mountain View/
    California. Previously called:   Modeling Studies in Combustion
    Aerodynamics/ Chemistry.
(CTC)  CONTACTS: W. Steve Lanier     U.S. EPA Industrial Environ,
    Research L Loc: Research Triangle Park/ North Carolina 27711
    Ph: (919) 541-2432
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-28-83
(CAP)  Functional capabilities of model: The PROF code Has developed to
    accurately model the detailed combustion and pollutant formation
    processes occurring in premixed one-dimensional flames* Previous
    plug-flou models applied to premixed flame combustion and pollutant
    formation processes did  not incorporate axial diffusion in the
    formulation.  Since ignition processes require upstream diffusion,
    these plug-flou models could not be directly applied to flames
    without making some gross assumptions as to  the upstream ignition
    zone starting conditions.  In addition/ the  accuracy of these
    nondiffusive models is very poor in the flame zone/ where diffusion
    is important.  Since the PROF code includes  axial diffusion/
    predictions of combustion and pollutant formation processes can be
    achieved in the flame zone as well as downstream of this zone*  The
    accuracy of these predictions is dependent only on the adequacy of
    elementary kinetic reaction and transport data.  Thus/ PROF
    predictions/ combined with experimental data/ can provide valuable
    insights into the complex chemical events taking place within  as
    well as downstream of the flame zone,
(ASM)  Basic assumptions of model:  The key program element in the  PROF
    code is a stable and reliable kinetic chemistry routine.  This
    routine can be applied to any chemical system for which kinetic
    reaction data are available.  To model flame and reactor-type
    problems/ appropriate drive routines are linked to the general
    chemistry routine.  The flame model includes axial gas phase
    diffusion and is mathematically/ a multivariable boundary value
    problem. This problem requires a coupled grid solution procedure
    for all variables.  This grid problem is solved in PROF by using a
    predictor-linearized corrector iterative matrix procedure. The
    reactor type models do not have explicit diffusion terms. These
    models are initial value problems solved by simple time or space
    marching in the PROF code.


                             1345

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                             Accession No.   16302000104    (cent)

       Input to model:  Input to the code include:   type of  solution to
    be obtained (e.g.  well-stirred reactor),  names and number of
    chenical species,  therraochemical data for chemical species,
    chemical reactions and associated forward rate constants, third
    body efficiencies,  initial mole fractions,  temperature,  pressure,
    and flow rates.
(OUt)  Output of model: The PROF code output gives complete  summary
    information or flame,  well-stirred and  plug-flow reactor and
    time-evolution chemical kinetic problems.  If  called for, it can
    also provide information on intermediate iterations and  chemistry
    routine solutions.   For each iteration  during  a flame solution the
    code always prints out a line of output which  gives the  flame  speed
    parameter,  its error,  the maximum error in concentration and the
    constraint  (i.e.  damping) applied to the corrector step  correction
    vector.  In addition,  all of the input  data is output along with
    the title of the  run.
(APP)  Applications of model; The PROF code has been used widely by
    Acurex and  the Environmental Protection Agency to predict the
    pollutant formation that occur in a wide variety of experimental
    and practical combustion devices.  The  code has been applied to a
    variety of  gas turbine, furnace and catalytic  combustion, and
    pollutant formation problems.  The PROF code has also been used to
    treat the reaction of  a fixed mass of gas in time as the pressure
    and temperature change.  Chemical evolution inside internal
    combustion  engines, combustion bombs and other time* dependent
    combustion  systems have been predicted  by this option.  Of course
    the option  assumes uniformly mixed and  reacting mixtures within the
    system.  Therefore, applying this option to spatially nonuniform
    systems represents only an approximate  modeling of the  system.
(HDW)  Computational  system requirements -  Hardware: Mainframe Univac
    1108, IBM 360 or  COC 6600 ;Disc storage 153 instrument,  and 31978
    words decimal storage  are needed for data.  / Magnetic tape storage
    or disk ^Printer  132 line printer jCard reader/punch or  t
(LNG)  Computational  system requirements -  Language(s) used: Fortran
(REF)  References - User manuals, documentation, etc.:
    Kendall, R. M. and J.  T. Kelly, Premixed One-
    Dimensional Flame (PROF) Code User's Manual,
    EPA-600/7-78-172a,  August 1978.
(CNM}  Contact  name(s): Lanier,U.S.
(COR)  Contact  organization: U.S. EPA Industrial Environ. Research Lab
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of  Environmental Engineering and
    Technology.Industrial  Environmental Research Laboratory.
                             1346

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                             Accession No.   16302000114

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Cost Effectiveness Model  for
    Pollution Control at Coking Fac
(ACR)  Acronym of Data Base  or Model:  NONE
(MED)  Kedla/SubJect of Data Base or Model:  Industry/economic
(ABS)  Abstract/Overview of  Data Sase or Model:  The computer model/
    developed for coking facilities/ allows  the  user to determine the
    optimum mix of pollution control devices will be determined  to
    provide the greatest reduction  in pollutant  emissions.   The  model
    uill optimize on the whole population of coke batteries  or any
    sub-set that is specified*
(CTC)  CONTACTS: Robert C. McCrillis Industrial  Environmental Research
    Labor Loc: RTP, NC 27711 Phi {919)541-2733
(STA)  Data Base status: Discontinued

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                             Accession No.   16303000108

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model: Centralized Treatment of Industrial
    Uastewater
(ACR)  Acronym of Data Base or Model: Hone
(MED)  Media/Subject of Data Base or Model:  Water ; Indus try/economic
(ABS)  Abstract/Overview of Data Base or Model: The objective of the
    Centralized treatment model is to produce an optimal geographic
    pattern of treatment facilities for industrial wastewater in a
    metropolitan area. An optimal pattern is one whose annual costs of
    transporting and treating industrial wastewater is minimal.
    Treatment facilities may be located at  wastewater-producing
    industrial plants or at one or more candidate sites for centralized
    treatment.  Both capital and operating  costs are considered. The
    fundamental tradeoff resolved by the model is between the costs of
    transportation and the economies of scale Inherent in centralized
    treatment. The model is formulated as a mixed Integer program*  It
    is supported by a matrix generator and  reports programs. The model
    was developed by C5NTEC Corporation during 1979 and 1980 in
    connection with an analysis of centralized treatment as an option
    for meeting pretreatment regulations published by EPA in 1979.
    Antecedents include a model for optimizing municipal sludge
    handling and disposal systems developed by Yakir Hasit in his PhD
    dissertation at Duke University in 1978, and WRAP, Haste Resource
    Allocation Program, a model developed for EPA by Mitre Corporation
    in 1977.
(CTC)  CONTACTS: Howard Markham CENTEC Corporation
    Loc: 11800 Sunrise Valley Drive Reston,  Virginia 22091     Ph:
    (703) 476-4000
(STA)  Data Base status: Operational/Ongoing
(DP)  Date of form completion: 01r24-83
(CAP)  Functional capabilities of model: The model vleus the original
    wastewater workload as 1, 2, or 3 streams emanating from each
    industrial plant.  The 3 stream types are chromium, cyanide, and
    acid/ alkali.  Each stream is characterized by a flow rate, the
    concentrations of Cr+3, Cr+6, Cn, Zn, Fe, Ni, Cu, Cd, and Pb, and
    through its plant or identification number, a geographic location.
    Treatment processes considered are chrome reduction, cyanide
    oxidation, neutralization/precipitation, flocculation,
    clarification, thickening, and filtration.  Each process may be
    located at each industrial plant and at each candidate site for
    central treatment. Each uastewater source stream is required to
    undergo full treatment in the sequence
    neutralization-precipitation* flocculation, clarification,
    thickening, and filtration. In addition, chrome and cyanide streams
    must undergo chrome reduction and cyanide destruction,
    respectively, before entering neutralization/precipitation.
    Overflows from the clarifier and thickener go to the sanitary
    sewer.  Sludge from the filtration unit goes to a landfill.  When
    Mastewater is transported from one site to another, storage tanks
    with attendant costs are required at each site.  Capital and
    operating costs for each treatment process reflect economies of
    scale. In addition to yastewater treatment processes* the model


                             1348

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                             Accession  No.   16303000108     (cent)

    considers the economics of  wastewater  reduction  measures  applied In
    the plant production processes  to reduce the  size  of  source
    streams.   The model determines  the  optimal  pattern of uasteuater
    reduction/  the optimal size of  each treatment process at  each plant
    and central site/  and transportation flows  among sites*   Plants and
    central  sites may  perform full  treatment, partial  treatment  or no
    treatment.   A typical problem size  is  50-100  plants,  1-3  candidate
    central  sites, and 1-2 landfills.   That  translates to a typical
    model size  of 4000- 8000 constraint equations with 500-1500  integer
    variables,  about half of the latter for  representing  increasing
    returns  to  scale as plecewise linear equations.  For  mixed integer
    programs of this size, it is not  feasible to  run the  solution
    algorithm long enough to prove  optiraality,  but experience indicates
    that an  optimal or near-optimal solution is obtained  on the  2nd or
    3rd integer-feasible solution when  the search criteria are chosen
    to support  that objective.
(ASM)  Basic assumptions of model:  The  treatment  processes modeled are
    assumed  adequate to meet treatment  regulations when properly
    operated. The performance of clarifiers, thickeners and filtration
    units Is modeled in terms of fixed  efficiencies  of solids capture
    and fixed ratios of solid to liquid weights in the underflow.
    Process  sizes include a 20% safety  factor.  Transportation cost is
    assumed  to  be a function of payload and  distance.  It is  further
    assumed  that liquid waste is moved  in  5500-gallon  tank trucks only,
    filled to capacity.  Dewatered  sludge  is assumed moved in trucks of
    30-cubic yard capacity, fully loaded.  Separate capital recovery
    factors  are used for in-plant and central facilities, to  permit
    inclusion of rate-of-return requirements on capital investments by
    industrial  plants. The capital  costs of  central  facilities include
    a component for site acquisition  and construction. Every plant and
    central  site is assumed large enough to  accommodate treatment
    equipment of sizes chosen by the model.
(IMP)  Input to model: The model requires  four  kinds of input:
    Technological Data.  Cost and performance characteristics of
    treatment technologies and  transportation.  With the  exception of
    occasional  adjustments to costs,  which is provided for in the model
    via appropriate standard cost indices, this is a reasonably  stable
    set of data that need not be developed anew for  each  model run.
    Plant and Source Stream Data:  For  a region,  the identity and
    location of each industrial plant  whose  wastewater requires
    treatment,  and the flow rate and  chemical composition of  the
    chrome,  cyanide, and acid/alkali  waste streams at  each plant*
    Also, the number of production  lines where  wastewaisr reduction has
    been applied and for which it is  feasible.  Central Site  and
    Landfill Data: Location of candidate sites  for central treatment,
    and location of landfills suitable  for receiving flltercake
    containing precipitated metals.  Economic Factors: Interest rates,
    equipment lifetime, Wholesale Price Index for Industrial  Chemicals,
    Chemical Engineering Plant Cost Index, Chemical  Engineering
    Manpower Cost Index, sewer fee, landfill fee.
(OUT)  Output of model; Three principle output  reports are produced:
    plant Report, central facility  report, and  transportation report.


                             1349

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                             Accession Ho.   16303000108    (cont)

    The plant and central facility reports  show whether a flow
    reduction or treatment process is present at a site, and,,  when it
    is, its size, capital cost,  and operating cost.  Operating cost Is
    broken out into labor, utilities, and chemicals.  When
    trarsportation is used, the  costs of storage are shown.  The
    transportation report shows  the workloads and costs of transporting
    liquid wastes from plants to central facilities, and transportation
    among central facilities. The costs  of transporting sludge  from
    plants to central facilities and to landfills is also shown*
    Regional totals are reported by process and resource.  Subsidiary
    outputs include the standard linear programming report of  the model
    solution, and reports of intermediate factors generated during
    input preparation.
(APP)  Applications of model: The model was used by CENTEC Corporation
    to analyze centralized treatment in the Milwaukee region.   That
    analysis was performed in the project under whose aegis the model
    was developed.
CHDM)  Computational system requirements -  Hardware: Mainframe Univac
    1110 Series ;Disc storage Short tern:  100 million bytes ;Printer
    any 132 character per line model
(LNG)  Computational system requirements -  Language(s) used: FMPS and
    GAMKA
(OSK)  Computational system requirements: Operator Knowledge/Skills: Pro
    gramming ;EngineerIng ^mathematical programming
(WTP)  Water Models - Type of model: Mater  quality
    Regional treatment system design
(COH)  Processes and constituents included  in model: Toxic chemicals
    ^Quality processes
(CPL)  Complexity level of model: steady state nass balance ;sujlti
    dimensional
(REF)  References - User manuals, documentation, etc.:
    CENTEC Corporation, Centralized Treatment Model.
    User's Manual, August 1980.
    CEHTEC Corporation, Centralized Haste Treatment Mixed Integer
    Programming Model — Milwaukee Results, July 1980
    Yakir Hasit, Optimization of Municipal  Sludge Handling and
    Disposal Systems, PhD Dissertation at Duke University,
    Department of Civil Engineering, 1978.
    CENTEC Corporation, Centralized Treatment of Metal Finishing
    Hastes, September 1930
    WRAP, A Model for Regional Solid Haste  Management Planninng -
    User's Guide, EPA/530/SW574, U.S. Environmental Protection
    Agency, February 1977
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Engineering and
    Technology.Industrial Environmental Research Laboratory.
                             1350

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                             Accession Ho*   16304000926


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                             Accession No.   16304000926    

    pollutant of interest discharged from each industrial source and
    the domestic/commercial sector. A set of pollutant removal
    functions and their standard errors is  required for the municipal
    treatment plant,  if a cost optimization is not being made then the
    type of control used by each industry and the municipality oust
    also be specified,  Statistics of the receiving water flow,
    specification of the environmental quality criteria, and the cost
    of all individual treatment alternatives nay also be needed, there
    is a possibility that at some future date/- an internal data base
    will be added to the model so that the  input can be reduced to
    specifying industrial sub-category types, pretreatment
    technologies, and environmental quality criteria.
(OUT)  Output of model: Standard output from TOXFLO consists of a table
    of estimate statistics of the long term mean flows and
    concentrations of each toxic pollutant  from each industrial source,
    In the influent, effluent, and sludge of the municipal plant,  and
    of the receiving water.  Also, reported is the expected frequency
    of violation of environmental criteria  and the cost of the control
    policy being utilized.
(APP)  Applications of model: TOXFLO was developed to aid in the
    planning of industrial pretreatment programs.  It can also be used
    to assist in the analysis of municipal  treatment facility discharge
    permit requirements.  An illustrative application of the model has
    been made to controlling heavy metals in Koko«o, Indiana.

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                             Accession Ho.   16304000927

(DQ)  Dste of Questlonaire; 12-02-82
(HAM)  Kama of Data Base of Model: Storm Water Management Model
(ACR)  Acronym of Data Base or Model:  SWMM
{MED)  Media/Subject of Data Base or Model:  Water
CABS)  Abstract/Overview of Data Base or Model: The EPA Storm Hater
    Management Model (SWMM) is a comprehensive mathematical model
    capable of simulating urban stormuster  runoff and combined sewer
    overflows including the spatial and temporal quality and quantity
    aspects of the precipitation/runoff (snowmelt) process, conveyance
    system transport^ control measures, and receiving water responses.
    The model operates in a continuous mode for detailed planning and
    receiving Hater analysis or in a single event mode for indepth
    analysis.  Two transport routines are available: One is based on a
    kinematic nave formulation while the other is based on the complete
    St. Variant equations (i«e*, WRE Transport} to include effects of
    backwater, flow reversal, surcharging,  looped connections and
    pressure flow.  Two receiving water models are included in SWMM:
    RECEIV and LEVEL III.- RECEIVING,   RECEIV is a dynamic model
    applicable to streams, rivers, estuaries, marshes/swamps and lakes.
    LEVEL III - RECEIVING is a simplified continuous model applicable
    to streams or tidal rivers that provides dissolved oxygen frequency
    information.
(CTC)  CONTACTS*  Torn Barnwell ERC, Athens,  GA  U.S. EPA Municipal
    Environmental  Research
    Laboratory, CURRENT CONTACT:  Ton Barnwell, ERC, Athens, Georgiaf
    Loc; 26 W. St, Clair St., Cincinnati, OH 45268   Ph: (513) 684-7635
(STA)  Data Base  statuss Operationa/Ongoing
(DF)  Date of form completions 01-18-83
(CAP)  Functional capabilities of models (1) Single event or continuous
    simulation, latter has unlimited number of time steps, former
    usually limited to 150-200 but can be unlimited also, depending on
    portions of model utilized, continuous  version simulates only
    surface runoff (including simple gutter/pipe routing) and
    storage/treatment? (2) Precipitation:  input at arbitrary time
    intervals for single event simulation (typically 1-15 rain.) and at
    one-hour intervals for continuous simulation, for snowmelt
    simulation daily raax-rain temperatures required for continuous, time
    step temperatures for single event; (3) output at time step
    intervals (or multiples), daily, monthly, annual, and total
    summaries for continuous simulation; (4) Time step arbitrary for
    single event  (typically 5 minutes) and  one hour for continuous, WRE
    transport model time step depends on stability criteria, may be as
    small as a feu seconds; (5) Small to large multiple catchments:
    (a) surface!   lumped simulation of overland flow with allowance for
    up to 200 subcatchnents and six input hyetographs, up to 200
    gutter/ pipes may be simulated by one-dimensional routing, (b)
    channel/ pipes;  one-dimensional network, up to 159
    conduit/noneonduit elements for original transport model, up to 239
    conduits in WRS transport model, up to  two in-line storage units in
    original transport model, (c) catchment area nay be disaggregated
    and modeled sequentially for simulation of areas too large for
    existing SWMM dimensions, (d) storage/treatment simulated


                             1353

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                             Accession No.   16304000927    (cont)

    separately/ receiving input from upstream routing, (e) output from
    surface, channel/pipe, or storage/treatment simulation may serve as
    new input for further simulation by the latter two nodules.
(ASM)  Basic assumptions of model: (1) Deterministic model; (2) surface
    quantity: iterative solution of coupled continuity and Manning
    equations, integrated form of Horton infiltration (infiltration
    rate proportional to cumulative Infiltration, not time), or Green-
    Arapt; (3) Surface gutter/pipe routing,  nonlinear reservoir assuming
    water surface parallel to Invert; (4) Channel/pipes: (a) original
    transport:  implicit finite difference  solution to modified
    kinematic wave equation, (b) MRE transport:  explicit finite
    difference solution of complete St. Venant equations, stability may
    require short time step:  (5) Storage/  sedimentation:  modified
    Puls method requires table look-up for  calculation of outflow; (6)
    Surface quality, quality routing and treatment:  algebraic
    equations, no iterations required once  flows and conduit volumes
    are known,
(INP)  Input to model: (1) Historical or synthetic precipitation
    record, uses National Weather Service precipitation tapes for
    continuous simulation, monthly evaporation rates for snowmelt:
    daily max-min (continuous) or time-step (single event)
    temperatures, monthly wind speeds, melt coefficients and base melt
    temperatures, snow redistribution fractions and areal depletion
    curves (continuous only), other melt parameters; (2) Surface
    quantity:  area, imperviousness, slope, width, depression storage
    and Manning's roughness for pervious and impervious areas,
    infiltration parameters; (3) Channel/pipe quantity: linkages,
    shape, slope, length. Manning's roughness, URE transport also
    requires Invert and ground elevation, storage volumes at manholes
    and other structures, geometric and hydraulic parameters for weirs,
    pumps, orifices, storages, etc., infiltration rate; (4)
    Storage/sedimentation quantity:  geometry, hydraulic
    characteristics of outflows; (5) Surface quality; land use, total
    gutter length, catchbasin volume and initial residuals
    concentrations, street sweeping interval, efficiency and
    availability factor, dry days prior to  initial precipitation,
    user-supplied initial residuals surface loadings, exponential
    washoff coefficient or parameters for pollutant rating curve,
    linear or nonlinear surface accumulation rates; (6) Dry-weather
    flow on basis of diurnal and daily quantity/quality variations;
    population density, other demographic parameters; (7) No input data
    required for channel/pipe quality routing; (8) Storage/ treatment:
    parameters defining exponential removal as function of residence
    time in storage/sedimentation, parameters for individual treatment
    options, e.g., particle size distribution, maximum flow rates, size
    of unit, chemical additions, optional dry-weather flow data when
    using continuous simulation; (9) Storage/treatment costs:  ESR
    index, unit costs of excavation, land,  power, chlorine, polymers,
    alum, interest rate and amortization period; (10) Data requirements
    for individual modules much less than for run of whole model, large
    reduction in data requirements possible by aggregating (lumping) of
    subcat china nts and channel/pipes, especially useful for continuous


                             1354

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                             Accession No*   16304000927    (cont)

    simulation.
(OUT)  Output of model: (1) Input data summary including precipitation;
    (2) Hydrographs and pollutographs (concentrations and loads versus
    time) at any point in system on time step or longer basis/  no
    stages or velocities printed; (3) MRE transport also outputs
    elevation of hydraulic grade line; (4)  Surcharge volumes and
    required flow capacity, original transport model will resize
    conduits to  pass required flou (optional); (5)  Removal in
    storage/treatment units/ generated sludge quantities; (6) Summaries
    of volumes and residuals loads for simulation period/ continuity
    check/ initial and final pounds of solids in conduit elements;  (7)
    Daily (optional)/ monthly/  annual and total summaries for
    continuous simulation/ plus ranking of  50 highest hourly
    precipitation/ runoff and BOD values; (8) Line printer plots of
    hyetographs, hydro-graphs/ and pollutographs; (9) Costs of simulated
    storage/treatment options.
(APP)  Applications of model: SWMM has been widely used in planning and
    design studies for urban stormuater and combined setter overflow
    pollution control (e.g./ under Section  108/ 201/ and 208 studies)*
    It is widely used for urban drainage and flooding analysis. Users
    are primarily consulting engineers/ public agency engineers and
    university researchers.  Presently semi- annual meeting of the  SWMM
    User's Group are held in the U.S. and Canada.  Individual modules
    have been linked to HECSTORN/ QUAL-II model/ simplified receiving
    water models/ and others. Individual modules have been altered  and
    renamed by various groups.
(HDW)  Computational system requirements -  Hardware: Mainframe IBM
    360/370 or Univac 1108 or CDC 6600 or AMDAHL 4 Disc storage 90,000
    words core storage plus 5 units to process ; Magnetic tape storage
    or disc jPrinter 132 position line printer ; Card reader/punch  for
    tape or disc (input)
(LNG)  Computational system requirements -  Language(s) used: Fortran
(OSK)  Computational system requirements: Operator Knowledge/Skills: Pro
    gramming ;Engineer ing ;Engineer familiar with urban hydro

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                             Accession No.  16304000927    (cont)

    Heaney, J.P., Huber, H.C./ Sheikh, H., Medina, M.A., Doyle/
    J.R., Peltz, H.A. and Darling, J.E., "Urban Storrawater
    Management Modeling and Decision Making,11 EPA-670/2-75-022,
    Cincinnati, Ohio, May 1975.
    Medina, M.A. , "Receiving Water Quality Modeling for Urban
    Stormwater Management:  Level III, "OSEPA Report
    EPA-600/2-79-100, Environmental Protection Agency, Cincinnati,
    Ohio, August 1979.
    Huber, U.C., Heaney, J.P. and Mix, S.J., "Stocm Hater Management
    Model User's Manual - Version III," SPA Report, Environmental
    Protection Agency, Cincinnati, Ohio, Draft 1980.
(CNM)  Contact narae(s): Amaon/D.
(COR)  Contact organization: U.S. EPA Municipal Environmental  Research
    Laboratory
(ROR)  Responsible Organization: Office of Research and
    Development.Offlee of Environmental Engineering and
    Technology.Municipal Environmental Research Laboratory.
                             1356

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                             Accession No.   16304000928

(DQ)  Date of Questlonaire: 12-02-82
(NAM)  Name of Data Base of Model:  WAT SPEC 2
(ACR)  Acronym of Data Base or Model: WATSPEC2
(MED)  Media/Subject of Data Base or Model: Hater
(ABS)  Abstract/Over view of Data Base or Model:  WAT SPEC 2 is a chemical
    model for major element speciation of natural and drinking waters,
    plus several additional constituents such as Sr, Ba, Fe, N0<3> and
    H<2>S. HATSPEC2 is an expanded version of HAfSPEC,  developed by
    T.M.L. Wigley (ref. 1).  The program takes analytical chemical data
    and calculates aqueous speciation and solid saturation states* and
    several indices of water corrosivity toward various kinds of
    drinking Hater piping.
(CTC)  CONTACTS: Herb Braxton U.S.  EPA Municipal Environmental Research
    Laboratory
    Loc: 26 W St. Clair St., Cincinnati, OH 45268    Ph: (513) 684-7236
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-18-83
(CAP)  Functional capabilities of model: The program considers the
    effects of temperature and ionic strength on the formation of
    complexes and ion pairs.  The resulting values are used to
    calculate the free ion activities, and these are used to calculate
    some corrosion indices and saturation states of solids*  The
    accuracy of the program is dependent upon the accuracy of the
    thermochemical data, the closeness of the system to equilibrium,
    the accuracy of the species included in the model in describing the
    real system, and the accuracy of the analytical data input.
(ASM)  Basic assumptions of model:  The program assumes chemical
    equilibrium, or a metastable state characterizable by operational
    "equilibrium" constants.  Redox equilibrium is not assumed for
    NO<3>/NH<4> system.  The simultaneous equations are solved by a
    continuing-fraction iteration technique.  Temperature adjustment of
    equilibrium constants are accomplished by either analytical
    Polynomials or the Yan't Hoff relation.  The analytical data are
    assumed to represent dissolved concentrations.
(INP)  input to model: HATSPEC2 accepts analytical chemical input as
    tng/L (mg/L as CaCO<3> for alkalinity),  rather than raeq/L as in
    WATSPEC.  Program input also includes some calculation options if
    some output is unnecessary, optional calculation of ionic strength
    from TDS or SPC, temperature and a redox potential (or D.O.).  The
    program can be set to default to a particular pE.
(OUT)  Output of model: The output includes aqueous speciation,
    saturation indices for 43 solids, ion balance error, an
    approximation of the buffer capacity of the water, the (chloride +
    sulfate)/ alkalinity ratio, the Aggressiveness Index, the
    calculated pH of saturation for calcite and a fresh calcium
    carbonate precipitate, the total inorganic carbonate concentration,
    equilibrium C0<2> partial pressure, the calculated TDS, plus some
    others.
(APP)  Applications of model: This program has been used extensively by
    the Drinking Water Research Division, US EPA to evaluate the
    potential corrosivity of water supplies and to perform data
    reduction for laboratory experiments.


                             1357

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                             Accession Ho.   16304000928    (cont)

(HDM)  Computational system requirements -  Hardware:  Mainframe IBM
    370/168 ;Disc storage or tape - 5 tracks jMagn Printer 132 position
    line printer or terminal or direct terminal input /Card reader/punch
(LHG)  Computational system requirements *  Language(s) used:  weter
    chemistry knowledge and ability to enter data by  card terminal
    Fortran GI compiler
(WTP)  Hater Models - Type of model:  Hater  quality
    Ground water
    drinking water
(ENV)  Environment(s) to Mhich model applies: Estuary ;Lake
    ;Stream/river ^Marine
(CON)  Processes and constituents included  in model:  Dissolved oxygen
    jEutrophication ;Toxic chemicals inorganics Salinity as
    constituents ^Temperature ;Quality processes
(CPL)  Complexity level of model: steady state mass balance ;one
    dimensional
(REF)  References - User manuals, documentation/ etc.:
    T.M.L. Higley* WATSPEC:  A Computer Program for
    Determining the Equilibrium Speciation  of Aqueous Solutions.
    British Geomorphological Research Group Tech. Bull. No.
    20(1977).
    Michael R. Schock/ SATSPEC2 program and documentation,
    unpublished. Drinking Vater Research Division, US EPA,
    Cincinnati, Ohio.
(ROR)  Responsible Organization:  Office of  Research and
    Development.Office of Environmental Engineering and
    Technology.Municipal Environmental Research Laboratory.
                             1358

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                             Accession No.   16304000929

/NH<4> system.  The simultaneous equations are solved by a
    continuing-fraction iteration technique.  Temperature adjustment of
    equilibrium constants are accomplished by either analytical
    polynomial functions or by the Van't Hoff relation. The program is
    of limited usefulness if the aqueous or solid species present in a
    real system are not included in the model.  Additionally, the
    analytical data are presumed to represent dissolved concentrations*
(IMP)  Input to model: Input to the model includes:  chemical
    analytical data, (such as pH, Ca, Wg, titration alkalinity, Clff
    Pb), temperature, redox potential (or an estimator, such as D»0»>,
    options for calculations to be performed and thenoochemical data
    describing the reactions to be considered.  Test data sets are
    given in references 1 and 3.  Thermochemical data and the ordering
    of output species are contained in 4 external files that are called
    by the program if operated as a load module, or that must follow
    the program if run in-strean.
(OUT)  Output of model: The output consists of the activities of the


                             1359

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                             Accession No.   16304000929    (cont)

    aqueous species, the molarities of the  aqueous species, calculation
    of ion balance error, derivation of total Inorganic carbonate
    concentration from titration alkalinity {corrected for non-
    carbonate reactants), saturation indices of solids, several ion
    ratios, adjustment of equilibrium constants for ionic strength and
    changes in temperature, calculated TDS, ionic strength, and other
    parameters.  Modifications have been made to transfer activities,
    concentrations and saturation Indices to an operating system file
    for interfacing tilth a plotting/ statistical package such as SAS
    (Statistical Analysis Systen, SAS Institute, Raleigh, N.C.).
(APP)  Applications of model: WATEQ2 has been used extensively by  the
    U.S.  Geological Survey for various problems relating to natural
    water chemistry and ore deposit formation.   MATEQ2 has been
    utilized by the Drinking Water Research Division of the US EPA to
    study solubility reactions in drinking  water for the purpose of
    corrosion control and water treatment to minimize the input of
    toxic metals (such as lead) into the water from the pipe systems.
(HDiO  Computational system requirements -  Hardware: Mainframe IBM
    370/168 or 370/155 >Disc storage approximately Magnetic tape
    storage or disc ^Printer 132 position line printer or terminal >
    Card  reader/punch
(LUG)  Computational system requirements -  Language(s) used: PL/1
(QSK)  Computational system requirements: Operator Knowledge/Skills: Kno
    uledge of water chemistry and ability to enter data  via
(WTP)  Water Models - Type of model: Water  quality
    Ground water
    Drinking water
(EMV)  Environment's) to which model applies: Estuary ?Lake
    ^Stream/river ^Marine
(CON)  Processes and constituents included  in model: Dissolved oxygen
    ;Eutrophication /Toxic chemicals inorganics Salinity as
    constituents ^Temperature /Quality processes
(CPL)  Complexity level of model: steady state mass balance >one
    dimensional
(R£F)  References - User manuals, documentation, etc.:
    James M. Ball, et al., Additional and Revised
    Thermochemical Data and Computer Code for WATEQ2 — A
    Computerized Chemical Model for Trace and Major Element
    Speciation and Mineral Equilibria of Natural Waters, USGS
    Water Resources Investigations ¥RI 78-116 (1980).
    James W. Bail, et al., WATEQ2 - A Computerized Chemical Model
    for Trace and Major Element Speciation  and Mineral Equilibria
    of Natural Waters, ch. 35 in Chemical Modeling in Aqueous
    Systems (£.A. Jenne, ed.), ACS Symposium Series 93 (1979).
    Darrell K. Nordstrom, et al.  A Comparison of Computerized
    Chemical Models for Equilibrium Calculations in Aqueous Systems,
    ch, 38 in chemical Modeling in Aqueous  Systems (E.A. Jenne,
    ed.), ACS Symposium Series 93 (1979).
    Alfred H. Truesdell and Blair F. Jones, WATEQ, A Computer
    Program for Calculating Chemical Equilibria of Natural Haters,
    MTIS  PB-220 464(1973).  Also, Jour. Res. USGS,
    2:2;233 (1974)*


                             1360

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                             Accession  No.   16304000929     Ccont)

(RQR)  Responsible Organization:  Office of  Research and
    Development.Office of Environmental Engineering and
    Technology.Municipal Environmental  Research Laboratory.
                             1361

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                             Accession No.   16304000930

(DQ>  Date of Questionaire; 12-02-82
(NAM)  Name of Data Base of Model: REDEQL.DHRD
(ACR)  Acronym of Data Base or Model:  REDEQLDWRD
(MED)  Media/Subject of Data Base or Model: Water
(ABS)  Abstract/overview of Data Base or Model:  A load module is
    maintained/ along with a thermodynaraic  data deck/ of the
    REDEQL.DWRD aqueous chemical equilibrium modeling program
    originally developed by Ingle/ et al. at the Corvallls
    Environmental Research Laboratory (refs. 1 and 2). This program can
    calculate equilibrium aqueous speciation/ saturation states of
    solids and calculate dissolved and solid concentrations following
    precipitation reactions.  The program is useful for aquatic
    toxicology studies/ titration experiment modeling (determination of
    pH or complexation changes)/ water chemical evaluation for
    corrosion control treatments and determination of solubility
    controls on constituents in natural or  drinking waters.
(CTC)  CONTACTS: Herb araxton U.S. EPA Municipal Environmental Res.
    Lab.
    Office of Water Waste Management
    Loc: 26 H. St. Clair St./ Cincinnati/ Ohio 45268 Phi 513-684-7236

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                             Accession Mo.   16304000930    (cont)

    summarizing forms by percentage.   Interaction capacities and
    intensities can be given./ and the ionic strengths  saturation
    indices for numerous solids,  the  pH, and several other  parameters
    can be calculated.
(APP)  Applications of model: The model has been used  extensively
    Drinking Water Research Division, US EPA to determine water  quality
    adjustments to protect asbestos-cement/ lead and galvanized  pipe.
    The program has been used to  gain a comprehensive  understanding of
    the naturally-occurring chemical  factors involved  in preventing the
    deterioration of asbestos-cement  pipe,   (see ref.  3)
(HDW)  Computational system requirements -  Hardware: Mainframe IBM
    370/168 ;Disc storage 19 Tracks ^Magnetic tape Printer  132 position
    line printer or terminal ;Card reader/punch
(LNG)  Computational system requirements -  Language(s) used: Fortran
(OSK)  Computational system requirements: Operator Knowledge/Skills: Kno
    wledge of water chemistry and ability to input data  via
(WTP)  hater Models - Type of model:  Mater  quality
    Ground water
    drinking water
(ENV)  Environments) to which model  applies: Estuary  >Lake
    ;Stream/river ^Marine
(CON)  Processes and constituents Included  in model: Eutrophication
    /Toxic chemicals inorganics,  organic ligands Salinity as individual
    constituents ^Temperature ?Quality processes
(CPL)  Complexity level of model: steady state mass balance ;one
    dimensional
(REF)  References - User manuals, documentation, etc.:
    Ingle, S.E. et al., A User's  Guide for  REDEQL.EPA,
    A Computer Program for Chemical Equilibria in Aqueous Systems,
    EPA-600/3-78-024 (1978).
    Ingle, S.E. et al., RfiDEQL.EPAK  Aqueous Chemical  Equilibrium
    Computer Program.  Marine and Freshwater Ecology Branch,
    Corvallis Environmental Research  Laboratory, Corvallis, Oregon
    (in press, 1980).
    Schock, Michael R. and R. W.  Buelou, the Behavior  of Asbestos-
    Cement Pipe Under Various Water Quality Conditions, A Progress
    Report.  Part 2 - Theoretical Considerations.  Jour. ANHA,
    (1981) in press.
    Schock, Michael R.  Computer  Modeling of Solid Solubilities
    as a Guide to Treatment Techniques.  A  paper given at the
    seminar "Corrosion Control in Hater Distribution Systems,*1
    Cincinnati, Ohio, Hay 20-22,  (1980).
(ROR)  Responsible Organization:  Office of  Research and
    Development.Office of Environmental Engineering and
    Technology.Municipal Environmental Research Laboratory.
                             1363

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                             Accession No.   16304000931

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Water Supply Simulation Model
(ACR)  Acronym of Data Base or Model: KSSM
(MED)  Media/Subject of Data Base or Model:  Water
(ABS)  Abstract/Overview of Data Base or Model: In meeting the
    requirements of the Safe Drinking Hater  Act, VSSM can be used to
    evaluate the trade-offs involved in making decisions concerning
    water supply systems expansion, water production and facility
    location.  This model can be used by planners to study some of the
    economic alternatives associated with regional water supply.  It
    incorporates a series of sub-models to describe the various aspects
    of the economic/ demographic, and hydraulic systems that make up a
    water utility. Extensive system hydraulic and cost data is needed
    to use the model.
(CTC)  CONTACTS: Robert M. Clark
    Loc: DWRD/MERL/Cincinnati, Ohio  (513) 684-7488
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-18-83
(CAP)  Functional capabilities of model: This model can spatially model
    the hydraulics and economies of a water  supply system.  The results
    of the analysis is only as good as the  data that is input to it.
(ASM)  Basic assumptions of model:  Economies of scale exist such that
    the unit cost of producing drinking water in smaller plants is
    higher than for larger plants.
(INP)  Input to model: All hydraulic flows are needed based on a
    diagram of the system.  Construction costs are for piping and other
    physical equipment needed for the system.  Operation and
    maintenance costs are for system use. Cost indices provide for the
    effects of inflation.
(OUT)  Output of model: The computer model  is capable of producing
    tabular and graphical output as well as  diagrams of the operating
    system.
(APP)  Applications of model: Main use of model so far has been
    internally by the economic analysis section of DHRD/ MERL* EPA in
    Cincinnati/ Ohio.  After the completion  of the model effort, it
    will be made available to all who are interested/ such as
    consultants/ etc.
(HOW)  Computational system requirements - Hardware: Mainframe-IBM 370
    ;Magnetic tape storage-none ^Printer-stand Card reader/punch
(LNG)  Computational system requirements - Language(s) used: Fortran
(OSK)  Computational system requirements: Operator Knowledge/Skills: Pro
    granting ; Engineer ing
(WTP)  later Models - Type of model: Drinking water
(EMV)  Environment(s) to which model applies: Hydrolic analysis model
    for drinking water networks
(CON)  Processes and constituents included  in model: Hydraulics
(CPL)  Complexity level of model: Steady state mass balance
(REF)  References - User manuals/ documentation/ etc*:
    Rough drafts of documentation exist at present.
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Engineering and
    Technology.Municipal Environmental Research Laboratory.


                             1364

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Accession No.  16304000931    (cent)
1365

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                             Accession No.   16305000507

(DQ)  Date of Questionaires 12-02-82
(MAM)  Name of Data Base of Model:  NAAQS Exposure Model
(ACR)  Acronym of Data Base or Models  KSM
(MED)  Media/Subject of Data Base or Model:  Air
(ABS)  Abstract/Over view of Data Sase or Model: National Ambient Air
    Quality Standards (NAAQ's) regulate six  ubiquitous pollutants (CO,
    NO, 03, SQ2, Pb and particulate matter)  under Sections 108 and 109
    of the Clean Air Act.  The NAAQS Exposure Model (NEM) is a discrete
    simulation model that can be used to estimate both current human
    exposure to each of these pollutants and exposure that would occur
    were various alternative standards just  met.  NEM develops
    time-average exposure estimates in individual urban areas based
    upon ambient air quality data,  census information, human activity
    data, and other user-supplied information needed to approximately
    describe day-to-day activities  of residents.  NEM is expensive to
    run, if the number of age-occupation categories is large.  In that
    situation, costs to run the program increases approximately as the
    square of the number of exposure districts increases.
(CTC)  CONTACTS: George Duggan   Strategies  and Air Standards Division,
    OAQPS   LOC: EPA, MD-12, Research Triangle Park, HC   27711 PH;
    FTS 629-5611
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 02-07-83
(CAP)  Functional capabilities of model: MEM computes the following
    exposure estimates for specified urban areas:!    1*  Numbers of
    people exposed to (specified averaging  time) concentrations in a
    year (for up to 20 user-specified concentration levels,  which do
    not need to have equal intervals),  the  specified averaging times
    are presently 1, 3, 8, 24 hours and one  year.#    2.  Number of
    person-occurances of exposures  to specified averaging
    concentrations in a year.f    3.  Number of people exposed to
    (specified averaging time) maximum concentrations in a year.ft    4.
    fhe same three items as mentioned above  but for a specified
    physiological index, such as COHb levels in the blood.# The model
    operates upon up to 13 age-occupation (A-0) groups, up to 9
    exposure districts, up to 5 microenvironments are indoor, so the
    model can handle indoor sources of air pollution.
(ASM)  Basic assumptions of model:  The model assumes that an urban
    area's population can be completely defined by the age-occupation,
    etc. categories mentioned above.  It also assumes that their
    movements through time and space can be  approximated by existing
    human activity (or time budget) surveys  and by origin-destination
    information obtained in U.S. Census or  in urban transport*Aation
    planning surveys.  The model also requires a complete set of
    ambient air quality data at centroids of exposure districts (or in
    "neighborhood types"), and that transformation factors can be
    developed from a literature review to relate ambient air quality  to
    indoor pollutant concentrations.  In addition, the model requires
    "additive factors" to account for indoor- generated and non-air
    sources of the pollutant.
(INP)  Input to model: Needed inputs include: for each selected urban
    area, a complete yearly set of hourly ambient air pollution

        Preceding page blank   , „,,
                             14OD

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                             Accession No,   16305000507    (contl

    cone en teat ions for each exposure district defined for the urban
    area; age-occupation specific population estimates for each
    district; hourly activity patterns for  weekdays, Saturday, and
    Sunday for each A-0 group; hourly microenvironraent assignments for
    each A-0 group/ uith a corresponding activity level assignment;
    mictoenvironment, transform factors; and additive factors to
    represented indoor-generated and non- air sources.  If a
    physiological index model is used then  NEH requires files of the
    parameters/variables needed to completely define the equations used
    to calculate the index nusnber(s).
(OUT)  Output of node!: Outputs are tables  and graphs depicting the
    types of information noted in Item 2 above,  table headings, as
    Hell as row and column headings are specified.
(APP)  Applications of model: To date, NEM  has been applied to CO, N02,
    and particulate matter by the Ambient Standards Branch of the
    Office of Air Quality Planning and Standards,  the Office of
    Research and Development and The Office of Mobile Sources have each
    recently begun projects in which NEM uill be applied.
CHDtO  Computational system requirements -  Hardware: Mainframe OKIVAC
    1110 ; Magnetic Tape Storage None ; Disc Storage 100 Tracks ;
    Printer
(LNG)  Computational system requirements -  Language(s) used: PL-1
(ATP)  Air Models - Type of model: N/A, NEM is not a dispersion model
(OAQ)  Model reviewed and approved by OAQPS? Yes
(PMP)  Production method of primary pollutant in model: N/A
(MPR)  Process used to remove pollutant from atomosphere: None (only
    negligible removal)
(THE)  Sample averaging time used: 24 Hours or less
(SRC)  Source of pollutant: N/A, NEM is currently based on air quality
    "concentrations data.
CAR)  Area where sample was collected: N/A
(RNG)  Distance traveled by pollutant from  source:  N/A
(REF)  References - User manuals, documentation, etc.: Roy A. Paul.
    User's Guide for NAAQS Exposure Model (NEM).  Research Triangle
    Park, N.C.,  U.S. Environmental Protection Agency, 1981*
(CNM)  Contact narae(s): George Duggan
(COR)  Contact organization: Strategies and Air Standards Division,
    OAQPS
(RQR)  Responsible Organization: Office of  Air, Noise and
    Radiation.Office of Quality Planning and Standards.Strategies and
    Air Standards Division.
                             1367

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                             Accession No.   16402000121

(DQ)  Date of Questionaire; 12-02-82
(NAM)  Mams of Data Base of Model: LAGRANGIAH PHOTOCHEMICAL AIR QUALITY
    SIMULATION MODEL
(ACR)  Acronym of Data Base or Model: LPAQSM
(MED)  Media/Subject of Data Base or Model: Air
(A8S)  Abstract/Overview of Data Base or Model: LPAQSM is designed to
    predict the concentrations of ozone produced in an urban area by
    modeling the emissions, transport, and transformations in the
    presence of ultraviolet radiation.
(CTC)  CONTACTS: Jack Shreffler Environmental Sciences Research
    Laboratory
    Loc: Research Triangle Park  Ph: <919)541-3659
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 03-17-83
(CAP)  Functional capabilities of model: The model is designed for
    simulation between sunrise and sunset on a single day.  It has five
    levels of vertical resolution but describes only one area of an
    urban domain at a particular time.  Concentrations are output for
    each 30 minutes along the trajectory.
(ASH)  Basic assumptions of model: The model assunes a Lagranglan
    parcel of air of dimensions typically 5x5 km by 1.5 km high.  The
    parcel moves with wind, entraining emissions which enter into the
    photochemical reactions.  Initial leading of pollutants Is
    specified, and the parcel has a rigid upper boundary and no lateral
    diffusion.
(IMP)  Input to model: 1. Emissions Inventory for hydrocarbons/
    nitrogen oxide.
    2.  Surface network air quality and meteorological measure-
    ments.
    3.  Upper air radiosonde data.
    4.  Solar radiation data*
    The Regional Air Pollution Study (RAPS - St. Louis) data base is
    being used with LPAQSM.
(OUT)  Output of model: Output is in the form of computer printout.
    Concentrations of ozone* carbon monoxide/ sulfur dioxide/
    hydrocarbons/ and nitrogen oxides are supplied at 30 minute
    intervals for 5 levels in the vertical.
(APP)  Applications of model: The model builder/ Environmental Research
    and Technology/ Inc./ has tested the model against data In Los
    Angeles as Hell as using it in environmental impact assessments.
    EPA Is testing the model against the RAPS data base.
(HDW)  Computational system requirements - Hardware: Mainframe Uhlvac
    1110 ;Disc storage 60/000 words ^Magnetic t Printer standard
(LKG)  Computational system requirements - Language(s) used: Fortran
(OSK)  Computational system requirements: Operator Knowledge/Skills: Pro
    «# gramming
(ATP)  Air Models - Type of models Numerical reactive
(OAQ)  Model reviewed and approved by OAQPS? NO
(PMP)  Production Method of primary pollutant in BOdel: Primary
    (emitted directly into atmosphere)
(MPR)  Process used to remove pollutant from atomosphere: Chemical
(TME)  Sample averaging time used: less than 24 hours


                             1368

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                             Accession No.  16402000121    Ccont)

(SRC)  Source of pollutant: Multiple point/United area
(AR)  Area where sample was collected: level or gently rolling terrain.

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                             Accession No.   16402000122

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  LIVERMORE REGIONAL AIR QUALITY  MODEL
(ACR)  Acronym of Data Base or Model:  LIRAQ
(MED)  Media/Subject of Data Base or Model: Air
CABS)  Abstract/overview of Data Base  or Model: LIRAQ Is a single  level
    grid model designed to predict  ozone concentration in an urban
    area.  The model simulates emissions transport and diffusion,  and
    photo- chemical reactions.
(CTC)  CONTACTS:  Jack Shreffler Environmental Sciences Research
    Laboratory Loc: Research Triangle  Park   Ph: (919)541-3659
    Loc: NC, 27711
(STA)  Data Base  status: Operational/Ongoing
(OF)  Date of form completion: 03-17-83
(CAP)  Functional capabilities of model: The model is designed
    primarily for single day simulations.  It has a single level in the
    vertical although uses an analytic method to infer vertical
    profiles.  The grid is typically 20 elements in each axis*
    Pollutant outputs represent 1-hour concentrations.
(ASM)  Basic assumptions of roodel:  The grid model can be set tilth
    variable grid although a mesh of 5x5 km is recommended for
    photochemistry because of storage  problems.  A uind  processor
    creates a divergence free Hind  field over the region.  Emissions
    are added hourly.
(INP)  Input to model: The model requires an Input data  base including:
    1.  gridded emissions
    2.  a dense network giving meteorology  and air quality
    3.  upper air winds
    4.  solar radiation data
    The RAPS data base {St. Louis)  is  being used by EPA.
(OUT)  Output of  model: Primary output is by microfiche  with a wide
    variety of graphics.  At each station a time series  of predicted
    pollutants is given.  Also, for each hour of the simulation a
    contour map of each pollutant Is produced. A verification package
    uill produce  comparisons of predicted and observed valves Including
    correlations.
(APP)  Applications of model: LIRAQ is being used by the Bay Area  Air
    Pollution Control District (San Francisco) for air quality
    planning.  The model is being tested by EPA on the RAPS data base*
(HDW)  Computational system requirements -  Hardware: Mainframe CDC 7600
    ;Dlsc storage 1.5 million words ^Magnetic Printer standard
(LNG)  Computational system requirements -  Language(s) used: Fortran
    Microfiche plotter
(ATP)  Air Models - Type of model;  Numerical reactive
(OAQ)  Model reviewed and approved by OAQPS? NO
(PHP)  Production method of primary pollutant in model:  Secondary
    (produced in atmosphere by chemical reactions)
(MPR)  Process used to remove pollutant from atomosphere: Chemical
(THE)  Sample averaging tine used:  less than 24 hours
(SRC)  Source of pollutant: Multiple point and limited area
(AR)  Area where sample was collected:  level or gently rolling terrain*
(RNG)  Distance  traveled by pollutant from  source: 60-100 km
(REP)  References - User manuals, documentation, etc.:


                             1370

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                             Accession No.   16402000122     (cont)

    Livernore Regional Air Quality Model (LIRAQ)  -
    Transfer to EPA.
    UCRL - 52664, Laurence Livermore Laboratory,  March 2I/  1980.
    the EPA has limited access through the  Laurence Berkeley
    Laboratory Computer system.
    (see M9999 9999 04)
(ROR)   Responsible Organization:  Office of  Research and
    Development.Office of Environmental Processes and Effects
    Research.Environmental Sciences Research Laboratory.
                             1371

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                             Accession No.   16402000125

(DQ)  Date of Questtonaire: 12-02-82
{NAM)  Name of Data Ease of Model: Air Resources Laboratory Atmospheric
    Transport and Diffusion
(ACR)  Acronym of Data Base or Model:  TRAJ
(MED)  Media/Subject of Data Base or Model:  Air
(ABS)  Abstract/Overview of Data Base or Model: The trajectory  model
    developed by Jerome Hefter Is a computerized post-facto trajectory
    model intended primarily for use in calculating transport/
    diffusion/ and deposition of effluents  on regional  and continental
    scales.
(CTC)  CONTACTS: Dale Coventry  U.S. EPA/ Environmental Sciences
    Research
    Laboratory/ Monitoring & Data Analysis
    Loc: Research Triangle Park  Ph: (919)541-3668
    Loc: Worth Carolina 27711
(STA)  Data Base status: Operational/Ongoing
(OF)  Date of form completion: 03-17-83
(CAP)  Functional capabilities of model: In its present form 5-day
    trajectories FORTRAN origin in North America 2) six-hour time
    intervals and 3) forward and backward in time.
(ASM)  Basic assumptions of model: The model moves the  trajectory with
    the average value of the winds in the layer selected/  either
    surface or aloft.
{IMP)  Input to model: 1) Location of trajectory end-point  2)  Starting
    Date
    3) number of Days  4) Direction in Time  5) Map Boundaries
    6)  Met Data provided by Asheville sorted by Time and  Stored  on
    Magnetic Tape.
(OUT)  Output of model: Tables of trajectories points for  every six
    hours of each trajectory Tables of transport- layer depth every
    three-hours for each trajectories Tables of maximum vertical
    Hind-shear in transport layer every three-hours each trajectories
    Printer - plots of trajectories - optional Optional -  vertical
    potential - temperature profiles for each STA Optional - Uooographs
    for each STA Optional - Plotted concentration and deposition
    accounts.
(APP)  Applications of model: SOURCE IDENTIFICATION and SOURCE  IMPACT
    are two of this model's applications to date.
(HDtf)  Computational system requirements -  Hardware: Mainframe  Univac
    1110 jDisc storage 84 k ;Magnetic tape  stor Printer any line
    printer jCard reader/punch
(LNG)  Computational system requirements -  Language(s)  used: Fortran
(OSK)  Computational system requirements: Operator Knowledge/Skills:  Pro
    gramming
(ATP)  Air Models - Type of model: Gaussian dispersion
(OAQ)  Model reviewed and approved by OAQPS? 80
(MPR)  Process used to remove pollutant fron atomosphere:  Negligible
    removal
(TME)  Sample averaging time used: less than 24 hours
(SRC)  Source of pollutant; limited point (less than 10-20)
(AR)  Area where sample was collected: level or gently  rolling  terrain.
(RNG)  Distance traveled by pollutant from  source: more than 100  km


                             1372

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                             Accession No.   16402000125    (cont)

(REF)  References - User manuals/ documentation/  etc.:
    SO A A TECHNICAL MEMORANDUM ERL ARL-81
    (ARL-ATAD)
    Jerome L.  Hefter
(CNM)  Contact  naroe(s): Coventry/D.
(COR)  Contact  organization:  U.S. EPA/ Environmental Sciences Research
    Laboratory/ Monito
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects
    Research.Environmental Sciences Research Laboratory.
                             1373

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                             Accession Ho«   16402000126

CDQ)  Date of QuestionaireS  12-02-82
(SAM)  Name'of Data Base of Models  Reactive Plume Model
(ACR)  Acronym of Data Base or Models  RPM-II
(MED)  Media/Subject of Data Base or Models Air
* and 0<3>«  RPM-II Mas developed and tested by
    Systems Applications* Inc« (SAD of San'Rafael* California for the
    Environmental Protection Agency*
(CTC)  CONTACTSI Kenneth L»  Schere    Environmental Sciences Research
    Laborat Loc: MD-80    Phi (919) 541-3795
    Loc; RfP* NC 27711
(STA)  Data Base statuss Operational/Ongoing
(DF)  Date of form completions 03-17-83
(CAP)  Functional capabilities of model; RPM-II simulates the reactive
    system of HQ- HC-0<3> species with the Carbon Bond-II
    generalized kinetic mechanism*   This includes a set of 68 chemical
    reactions with 35 separate species* including MO* NQ<2>* 0<3>* six
    classes of organics* PAN* CO* and other intermediate products =>  The
    model is  constructed vithin a Lagrangian frameuork*  The plume
    parcel is followed dounwlnd from the source as it is advected by
    the aind« The frame of reference moves  with the parcel*  The plume
    sodel is  composed of a fixed number of  cross-wind cells* typically
    froir 2 to 10* that can expand as they move doanaind.  The rate of
    horizontal dispersion is determined by  Fickian diffusion
    considerations. The rectangular cells comprising the plume are
    considered well- mixed reactors.  The model is applicable under
    limited mixing atmospheric conditions and ground-level computed
    concentrations are relevant only after  the plume touch-down point
    has been  reached*  While RPM-II is primarily designed for use as a
    point source plume model* an urban area plume may also be modeled
    by considering the source area as a virtual upuind point source-
    The model simulates the evolving concentrations using tine steps of
    less than a jainute* but the model inputs and outputs are hourly
    averages.  Concentrations units are in  parts per million. The
    model's limitations include the requirement for valid ambient
    concentration estimates of reactants along the plume trajectory*
    and the specification of valid  Hind speeds and dispersion rates*
    especially in complex terrain applications.
(ASM)  Basic  assumptions of model:  The plume is assumed to advect
    downwind  of the source according to the specified hour averaged
    wind speed and direction*  Fickian dispersion is assumed to govern
    the diffusion between adjacent  cells in the model and all cells are


                             1374

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                             Accession No,   16402000126    Ccont)

    assumed to be well-mixed.  The numercial solution of the  set of
    chemical reactions is by a modified version of the GEAR routine*  a
    predictor - corrector method for stiff  systems of differential
    equations,  It is implicity assumed that the Carbon Bond-II
    raechanisffl is an accurate description of the chemical
    transformations of NO-HC-Q<3> in the real atmosphere.
CINP)  Input to model: Inputs to the model  include:  Hind speed  and
    dispersion rates as a function of time  and dounuind distance
    respectively, average initial concentrations for all species and
    the time- varying ambient concentrations (an option), hourly source
    emission rates* and the time varying photolysis rates for the
    photolysis chemical reactions.  The reactions comprising  the
    chemical kinetic mechanism are also a set of inputs.
COUT)  Output of model! Outputs froas RPH-II include:  a printout of all
    input data? a printout of the program control variables,  a printout
    of plume concentrations* plurae widths,  plume depths, wind speed,
    and photolysis factors at various downwind distances, and printer
    plots of average plume and ambient concentrations versus  time.
    Average concentrations are printed for  each species within each
    plume cell as yell as average concentrations for the entire  plume.
CAPP)  Applications of model; This model aids in the analysis of
    reactive plumes from point sources.  A  limited data base  from  such
    sources Has collected as part of the Midwest Interstate Sulfur
    Transport and Transformation (MISTT) project in and around St.
    Louis in
    1976.  SAI analyzed this data base for  use with the RPM-II and
    applied the model to 10 test cases from it for the EPA.  Despite
    problems with the ambient HC measurements in the data base,  model
    results are encouraging*
CHDW)  Computational system requirements -  Hardware? Mainframe Univac
    111C or equivalent jDisc storage about  65,0 Printer any model
CLNG)  Computational system requirements -  Language(s) used:  Fortran
COSK)  Computational system requirements: Operator Knowledge/Skills:  Pro
    grasnraing ^Engineering ^Meteorologist, Atmospheric chemist
CATP)  Air Models - Type of model; Numerical reactive
(OAQ)  fodel reviewed and approved by OAQPS? HO
IPMP)  Production method of primary pollutant in model: Secondary
    (produced in atmosphere by chemical reactions)
(&PR)  Process used to remove pollutant from atomosphere; Chemical
tTMS)  Sample averaging time used: less than 24 hours
(SRC)  Source of pollutant: limited point (less than 10-20)
CAR)  Area where sample was collected! level or gently rolling terrain*
CRHG)  Distance traveled by pollutant from  source: 60-100 km
CREF)  References - User manuals, documentation, etc.:
    Yocke, M.A*, D.A. Stewart, M.K. Liu and C.S« Burton,
    1980s  Evaluation of RPM-II and simple  short-term H0<2> model
    predictions using MISTT data.  Proc. of Second Joint
    Conference on Applications of Air Pollution Meteorology,  Neu
    Orleans, La. March 1980.
    Liu*, M.K., D«A. Stewart and P,M« Roth,  1978:  Rn improved version
    of the Reactive Plume Model {RPM-II).  Paper presented at the
    Ninth HATO/CCMS International Technical Meeting on Air Pollution


                             1375

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                             Accession No.   16402000126    (cont)

    Modeling/  Toronto,  Canada.   August 1978.
    Only draft documentation from EP& exists on the aodel at this  tine.
(CNM)  Contact narae(s): Schere/K.L.
(COR)  Contact organization: Environmental  Sciences Research Laboratory
(ROR)  Responsible Organization: Office of  Research and
    Development.Office  of Environmental Processes and Effects
    Research.Environmental Sciences Research Laboratory*
                             1376

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                             Accession No.   16402000127

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  SAI Airshed Model
(ACR)  Acronym of Data Base  or Model: SAIASP
(MED)  Media/Subject of Data Base or Model:  Air
(AB5)  Abstract/Overview of  Data Base or Model: The SAI AIRSHED Model
    is a grid-type photochemical air quality simulation model.   Its
    primary purpose is to estimate the evolution of concentrations of
    urban atmospheric smog-related pollutants, including ozone. These
    concentration estimates  are based on simulating the physical and
    chemical processes occurring in the ambient atmosphere that are
    responsible for ozone production.  These include the emissions of
    organics and N0(x), chemical reactions  of these precursors,
    advection and dispersion among grid cells, and transport of ozone
    and its precursors into  the model region from upwind areas.  The
    precursors include 190(2), NO, and six classes of organics.
    Typically a model simulation period is  on the order of one  day.
    This model is quite complex and is rather input data-intensive.
    Nevertheless, it is useful for providing spatial and teroporal
    resolution of ozone concentration estimates based on a detailed
    consideration of the underlying physical and chemical processes*
(CTC)  CONTACTS: Kenneth L.  Schere#b-Environmental Sciences Research
    Laborat Loc: MD-80    ph: (919) 541-3795
    Loc: RTF, NC 27711
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 03-17-83
(CAP)  Functional capabilities of model: The model considers emissions,
    the atmospheric chemistry of ozone formation, advection and
    dispersion.  The chemistry embedded in  the model includes 71
    reactions and 35 species including N0(2), NO, six classes or
    organics, ozone, PAN, CO, and several intermediate products.
    Advection is simulated by estimating the transfer between
    neighboring cells, and dispersion is estimated by using horizontal
    and vertical diffusivity coefficients.   Hind shear can also be
    considered.  The model considers these  processes in each cell of a
    three dimensional grid system.   This grid system typically  includes
    four to six vertical layers of between  15 x 15 and 30 x 30  cells,
    each cell being between  two and ten kilometers square.  The model
    simulates the evolving concentrations using tine steps of less than
    a minute, but the model  inputs and outputs are hourly averages.
    The principal limitations of the model  are its complexity and the
    substantial amount of data required.
(ASM)  Basic assumptions of  model:  The SAI  Airshed Model uses a finite
    difference method to calculate the progression of pollutant
    concentrations through a series of time steps.  The model assumes
    flat terrain in estimating concentrations, although the influence
    of the terrain on the Mind field can be considered if the user is
    able to do so.  All emissions and all concentrations are assumed
    uniformly mixed throughout each grid cell*  It is assumed that
    turbulent fluxes are linearly related to the gradients in the mean
    concentrations so that eddy diffusivities are used in the diffusion
    calculations.
(INP)  Input to model: The SAI Airshed Model requires various


                             1377

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                             Accession Mo.   16402000127    (cont)

    emissions, meteorological and air quality data for each grid cell
    in the grid system.  The emissions inventory must be gridded,
    hourly, and must include N0(2), NO, and five classes of organlcs.
    The meteorological and air quality input data are interpolated from
    the values measured by a relatively dense monitoring network,  fhe
    meteorological data include wind speed/ wind direction, nixing
    height, atmospheric stability and photolysis rate constant and the
    air quality data include concentrations of NQCx), organics, and
    ozone at the beginning of the simulation and at the upwind
    boundary,  it an inert pollutant is being simulated, only data for
    that pollutant is necessary.
(OUT)  Output of model: The principal output of the model is a printed
    array of concentrations at ground-level or any level aloft
    throughout the grid for each hour for each major pollutant.  This
    array of concentrations is also put into disc storage in case the
    user wishes to develop programs to analyze the data further.  In
    addition, the model provides the option of estimating
    concentrations at specific sites by interpolating among the
    concentrations in the surrounding grid  cells.
(APP)  Applications of model: The SAI Airshed Model has been used by
    EPA and some state agencies to estimate the impact of emission
    controls on urban ozone concentrations.  The model is currently
    undergoing evaluation and verification  as part of the EPA Regional
    Air Pollution Study CRAPS) model validation program.  The urban
    area modeled in this study is St. Louis, HO.
{HBSO  Computational system requirements -  Hardwares Mainframe Univac
    1110 or equivalent >Disc storage about  70,0 Printer any model
(LNG)  Computational system requirements -  Language(s) used; Fortran

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                             Accession No.   16402000145

CDQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model; Aerosol  Transport Computer Model
(ACR)  Acronym of Data Base or Model:  AROSOL
(MED)  Hedia/Subject of Data Base or Model: Air
(ABS)  Abstract/Overview of Data Base  or Model: AROSOL is a
    three-dimensional K-theory model for the urban aerosol.  AROSOL
    computes particle size and composition  distributions over a
    three-dimensional grid covering a  given urban area.  The purpose of
    the program is to establish the urban aerosol source-receptor
    relationships and permit calculation of other quantities related to
    the urban aerosol such as visibility, total mass concentration, or
    hourly average respiratory dose of specific chemical species.  The
    complete model to permit these calculations Is still under
    development.  Completed portions of the  model have been used in
    studies of gas transport using the St.  Louis SAPS data base and in
    modeling the super micrometric portion of the urban aerosol for
    Maricopa County, Arizona; St. Louis, Missouri; and Buffalo, Hew
    York.
(CTC)  CONTACTS:  Dr. Tate Tsang Dniversity  of Texas at Austin
    Loc: Chemical Engineering Dept.   Ph: (512) 471-1328
    Loci Austin/  Texas 78712
(STA)  Data Base status: Operation/Ongoing
(DF)  Date of form completion: 3-17-83
(CAP)  Functional capabilities of model: AEROSOL will calculate time
    variations in pollutant gas concentrations and aerosol size and
    composition distributions in a three-dimensional grid covering a
    given urban area.  Since it is a K-theory model, it is expected
    that it will  describe veil most atmospheric conditions except those
    that are very stable or unstable.
(ASH)  Basic assumptions of model: The model assumes that the urban
    atmospheric concentrations of gases and aerosols can be calculated
    frore a knowledge of their sources  and the physical and chemical
    processes intervening in the urban atmosphere. Atmospheric
    dispersion is assumed to be described by the first order closure
    assumption for turbulence—MK theory."  The model solves the
    resultant conservation equations for pollutant gases or the general
    dynamic equation for the aerosol either by finite-difference
    techniques or by orthogonal collocation on finite elements with
    both options available.
(ISP)  Input to model: Input to the model includes:  numerical grid for
    the urban area, hourly primary source inputs  at the grid  points in the
    three-dimensional array, extending vertically up to the nixing
    height. For the urban aerosol, output will include particle and
    composition distributions at the grid points.  These may be
    presented in tables or as three-dinensional plots.
(HDW)  Computational system requirements -  Hardware; Mainframe CDC


                             1379

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                             Accession No.   16402000145    (cont)

    6600, 7600, CYBER ;Disc storage 220k ;Magnetic Printer line printer
    ;Card reader/punch
(LRG)  Computational system requirements -  Language(s)  used:  Fortran
(OSK)  Computational system requirements: Operator Knowledge/Skills: Pro
    gramming }Engineering
(ATP)  Air Models - Type of model:  Numerical reactive
(GAQ)  Podel reviewed and approved by OAQPS? NO
(PMP)  Production method of primary pollutant In model: Primary
    (emitted directly into atmosphere);    Secondary
(MPR)  Process used to remove pollutant from atomosphere: Combination
(TME)  Sample averaging time used:  less than 24 hours
(SRC)  Source of pollutant: multiple point  (more than 10-20)

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                             Accession No.   16402000146

(DQ)  Date of Questionalre:  12-02-82
(NAM)  Name of Data Base of  Model:  Simulation of Photochemical Smog
    with Kinetic Mechanisms
(ACR)  Acronym of Data Base  or Model:  CKIN  ;CHEMK
(MED)  Kedia/Subject of Data Base or Model: Air
(ABS)  Abstract/Overview of  Data Base or Model: Mechanisms  that
    describe the formation of photochemical snog are developed using a
    computer modeling technique directed toward the simulation of data
    collected in two smog chambers ~ an Indoor chamber and  a dual
    outdoor chamber.  Individual compounds  for which specific
    experiments were simulated and mechanisms developed include the
    following:  formaldehyde, acetaldehyde, ethylane, propylane,
    butane, and toluene. Experiments in both chambers were  simulated
    for all these compounds.  The mechanisms reported describe the
    decay of the premium organic compounds, formation and decay of
    secondary organics, conversion of nitrogen oxides, formation of
    nitrates, and the appearance and decay  of ozone.  Special emphasis
    is given to the chemistry of toluene.  CHEMK is a fortran computer
    program which, when given a predetermined kinetic mechanism,
    computes the concentration of the various readants in time.
(CTC)  CONTACTS: C.z, whitten   Systems Applications, Inc.
    Loc; 950 Northgate Dr.  Ph: (415)  472-4011
    Loc: San Rafael, CA  94903
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of fora completion: 03-17-83
(CAP)  Functional capabilities of model: This program incorporates the
    Gear Integration Package of A.  Hindmarsh of Lawrence Livermore
    Laboratories (Livermore, California).  This new version of CHEMK
    can handle chemical kinetic mechanisms  containing up to 89 species
    and UP to 200 reactions.  The new version can also handle
    photolysis rate constants and temperatures that very with tine, and
    reaction schemes with stoichlometric coefficients. Program requires
    approximately 44k to load.
(ASM)  Basic assumptions of  model:  Calculation of the time-dependent
    concentration profiles of a number of reacting species  in a complex
    reaction mechanism is central to the science of chemical kinetics.
    Such calculations allow  this validation of kinetic schemes and
    reaction rate constants  through the comparison of predicted
    concentrations with experimental data.   Efficient computer programs
    to integrate the system  of ordinary differential equations (ODES)
    associated with a kinetic mechanism, given a set o£ initial
    conditions, have been developed.  CHEMK relies on these advances.
(ISP)  Input to model: Two separate sets of data are needed to execute
    program:  One set controls the computational part of the program,
    and is necessary to establish the integration routine.   The second
    set controls the plotter output and provides the parameters
    necessary to specify the output format.  For details see Reference
    £2.
(OUT)  Output of model: Reactions are listed along with summary of
    initial conditions; reaction rate tables; line printer  "plots" of
    concentration versus time.
(APP)  Applications of model: Tested within Atmospheric Chemistry &


                             1381

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                             Accession 18o.   16402000146    (coist)

    Physics Division, ESRL, EPA {Project Officer Marcia Dodge), No
    known linkage to other models.
(HDH)  Computational system requirements -  Hardwares Calculator
    /Mainframe any IBM or CDC with Fortran  IV jPrinte Card reader/punch
    reader required
CLNG)  Computational system requirements -  Language(s) used:  Fortran IV
(OSK)  Computational system requirements? Operator Knowledge/Skills! Pro
    grajsming ^Chemistry
(ATP)  Air Models - Type of models numerical reactive
(QAQ)  Model revieaed and approved by Q&QPS? YES
(PMP)  Production method of primary pollutant In models Secondary
    (produced in atmosphere by chemical reactions)
(MPR)  Process used to remove pollutant from atomosphera? Combination
(TME)  Sample averaging time used: less than 24 hours
(SRC)  Source of pollutant! multiple point  (more than 10-20)
(AR)  Area where sample was collected: complex: rough terrain close to
    body  of water or in valley
(RNG)  Distance traveled by pollutant from  source; less than  60 k®
(REF)  References - User manuals* documentation* etc*:
    Modeling of Simulated Photochemical Smog
    with Kinetic Mechanisms, Vol. 1, Final  Report,? EPA-600/3-
    80-028a. February 1980
    Modeling of Simulated Photochemical Smog uith Kinetic
    Mechanisms, Vol. 2f CHEMK; A Computer Modeling Scheme
    for Chemical Kinetics> EPA-600/3-80~028b February 1980
    (user manual)
(CKM)  contact name(s)i Whitten^G.Z,
(COR)  Contact organization; Systems Applications* Inc..
(ROR)  Responsible Qrganiiations Office of  Research and
    Development.Office of Environmental Processes and Effects
    Researchesnvironmental Sciences Research Laboratory.
                             1382

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                             Accession Mo«   16402000147

(DQ)  Date of Questionaires  12-02-82
(SAM)  Name of Data Base of  Model;  Photochemical Box Model
(ACR)  Acronym of Data Base  or  Model:  PBM
(MED)  Media/Subject of Data Base or Models  Air
(ftBS)  Abstract/Overview of  Data Base or Models the Photochemical  Box
    Model (PBM) is a stationary single cell  photochemical  air  quality
    simulation model (P&QSM) designed to simulate the concentrations  of
    particular pollutant species tdthin a Hell-mixed domain*, Typically
    the domain is centered on an urban area.   The horizontal dimensions
    of the cell are on the order of 20-30 ka and are temporally
    invarient, while the vertical dimension  of the cell  changes  to
    reflect the diurnally varying growth of  the mixed layer above  the
    earth's surface. The principal species simulated by  the PBM  include
    carbon monoxide, nitrogen monoxide and dioxide, ozone,  and five
    lumped-hydrocarbon classes!  olefins, paraffins, aldehydes,
    aroroatics, and non-reactives. The processes of transport through
    the domain, entrainroent  from aloft, injection of source emissions
    through the bottom of the cell, and chemical transformations within
    it are modeled*  The PBM is quite simple in comparison to  other
    PAQSH's.  It provides an hour-averaged measure of air  quality  taken
    as a spatially integrated average over the volume of the cell  for
    each hour of simulation. Spatial resolution is not possible  within
    the model's structure.
(CTC)  CONTACTS! Kenneth L.  Schere#b-U.S. EPA Office of  Research and
    Develop Environmental Sciences Research  Laboratory.
    Locs Research Triangle park, MD-80     PhJ (919) 541-3795
    Loc: North Carolina 27711
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion!  03-17-83
(CAP)  functional capabilities of model: The model considers emissions,
    the atmospheric chemistry of ozone formation, and advectlon* the
    chemical kinetic mechanism within the PBM contains 24  species
    participating in 36 reactions.  The horizontal extent  of the model
    domain enables only a portion of an urban area to be modeled at a
    time, and hence an entire urban airshed  connot be considered by the
    PflM.  Typically the domain encompasses the area where  most of  the
    emissions sources are concentrated.,  The model domain  is on  the
    order of 20 km x 20 ko x 1.5 km in dimension and is  considered to
    be a homogeneous volume of air.  The meteoro logical situation of a
    prevailing stagnating anti-cyclone might be most conducive to
    application of the PB«.
(ASM)  Basic assumptions of model: The PBM assumes a yell-mixed  model
    domain at all times and a homogeneous pattern of emissions sources
    across the bottom of the cell.  The winds are assumed  to fall  into
    one of two categories: (1)  very light and directionally variable  or
    (2) above 2 ra/s and directionally stable throughout the model
    simulation period.  The rates of change of the modeled
    concentrations are described by a set of coupled ordinary
    differential equations that are solved numerically through a method
    developed by Gear.
(IMP)  Input to models The PBM requires various emissions,
    meteorological, and air quality data to be pre-processed before the


                             1383

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                             Accession No.   16402000147    (cont)

    model can be executed,   the emissions inventory must have hourly
    resolution and must include CO/ N0(x),  and five classes of organic
    hydrocabons*  The meteorological and air quality data are averaged
    over the available measurements.  Some  of the monitors should  be
    located outside of the  model domain to  give an indication of the
    upwind boundary concentrations.  The meteorological data include
    wind speed, wind direction, mixing height, and photolysis rate
    constants and the air quality data include concentrations of N0(x),
    organics, and 0(3) at the beginning of  the simulation and at the
    upwind boundary,
(OUT)  Output of model: The model provides  a list of simulated
    concentra tions for all species at ten-minute intervals during a
    model simulation.  The  current mixing height, photolysis rate
    constants, and wind speed are also printed out.  Also printer  plots
    of the time series of predicted and observed (if available)
    concentrations are provided as well as  a summary of hour-average
    model predictions for principal species.  The hour-average
    predicted and observed  concentrations from a given simulation  nay
    be saved on disc storage at the user's  discretion.
(APP)  Applications of model: The Photochemical Box Model is an
    evolving PAQSM being developed by the Modeling Sciences Section of
    EPA's Meteorology Division*  It has been used to model the air
    quality for St. Louis,  Mo., and Houston, Tx.  The node! is
    currently undergoing evaluation and verification as part of the EPA
    Regional Air Pollution  Study (RAPS) model validation program.
(HDIO  Computational system requirements -  Hardware: Mainframe Onivac
    1100 or equivalent ;Disc storage up to  25 t
(LNG)  Computational system requirements -  Language(s) used: Fortran
(OSK)  Computational system requirements: Operator Knowledge/Skills: Pro
    granmlng Engineering ^atmospheric chemist and meteorolog
(ATP)  Air Models - Type of model: Numerical reactive
(OAQ)  Model reviewed and approved by OAQPS? SO
(PHP)  Production method of primary pollutant in model! Secondary
    (produced in atmosphere by chemical reactions)
(MPR)  Process used to remove pollutant from atomosphere: Chemical
(THE)  Sample averaging time used: less than 24 hours
(SRC)  Source of pollutant: limited area sources, and multiple point
    sources included.
(AR)  Area where sample was collected: level or gently rolling terrain.
(RNG)  Distance traveled by pollutant from  source: less than 60 km
(REF)  References - User manuals, documentation, etc.:
    Schere, K.L. and K.L. Deraerjian, 1977.
    A photochemical box model for urban air quality simulation
    in Proceedings of the 4th Joint Conference on Sensing of
    Environmental Pollutants, New Orleans/  La., Nove. 1977,
    pp. 427-433.
    Demerjian, K.L. and K.L. Schere, 1979:   Application of a
    photochemical box model for 0(3) air quality in Houston,
    Texas, in Proceedings of Ozone/Ox id ants:  interactions with
    the Total Environment II, Houston, Texas, October 1979/
    PP. 329-352.
(ROR)  Responsible Organization: Office of  Research and


                             1384

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                         Accession No.  16402000147    (cont)

Development.Office of Environmental Processes and Effects
Research.Environmental Sciences Research Laboratory.
                         1385

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                             Accession No.   16402000148

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model: Point Source Models

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                             Accession Ho.   16402000148     (cont)

    point of maximum.   For  PTDIS all  receptors are considered directly
    downwind of the plume.   For PTMTP each  source and receptor is
    abritrarily located by  coordinates In a kilometer grid  scheme.  B.
    Emission Rate.   A  single constant emission rate for  each  source is
    assumed. C.  Chemical Composition.  The models treat chemical
    composition as  a single inert pollutant.  0.   Plune Behavior*
    Gaussian spreading is both horizontal and vertical.   Briggs (1969,
    1971, 1972) plume  rise  formulas are used*  Eddy reflection from the
    ground in all three models is assumed/  and multiple  eddy
    reflections from the ground and mixing  height are used  in PTDIS and
    PTMTP.  If the  plume height exceeds the mixing height,  the
    ground-level concentration is assumed to be zero. E. Horizontal
    Kind Field.  The wind speed is internal in PTMAX, and it  is
    user-specified  in  PTDIS.  The wind speed and direction  are
    user-specified  in  PTMTP. F.  Vertical Wind Speed. This is assumed
    to be equal to  zero. G»  Horizontal Dispersion.  A Gaussian
    horizontal plume shape  is assumed.  Dispersion parameters of
    Pasquill- Gifford  are dependent upon stability class. H.   Vertical
    Dispersion*  A  Gaussian plume shape is  assumed.  Dispersion
    parameters of Pasquill-Gifford are dependent upon stability class.
    I.  Chemistry/Reaction  Mechanism.  This is not treated. J.
    Physical Removal.   This is not treated  by the models. K.
    Background.  This  is not treated  by the models.
(OUT)  Output of model: PTMAX:  Output from the model is a
    two-dimensional table giving raaxinujB concentration/  distance  to
    maximum, and height of  final rise for each stability-wind speed
    combination. OUTPUT: PTDIS:  Output is  ground level  concentration
    for a set of meteorological conditions. OUTPUT: PTMTP model
    estimates output concentrations at various heights.  INPUT: PTMAX
    has the ability to run  additional sources in the same run.  PTDIS
    can run additional meteorological or additional sources and
    meteorology or  other distances/ additional sources and  meteorology
    in the same run. PTMTP  has optional output for hourly periods and
    for concentration  contribution from each source for  averaging tim«*
    It can run for  additional meteorology or additional  receptors,  and
    meteorology in  the same run.  This model, uhich gives estimates for
    a single point, would not normally be calibrated or  verified  in
    actual application/ but rather would be used for planning or  design
    purposes to find a "worst case" impact.
(APP)  Applications of model: The source program for this dispersion
    model is available as part of UNAMAP (Version 3), PB 277 193,  for
    $420 from Computer Products, national Technical Information
    Service, Springfield, VA  22161.
(HDW)  Computational system requirements -  Hardware: Mainframe Or-
    1110 ;Disc storage 12K  core memory
(LNG)  Computational system requirements -  Language(s) used:  Fortran
(PMP)  Production method of primary pollutant in model:  Primary
    (emitted directly  into  atmosphere)
(HPR)  Process used to remove pollutant from atoraosphere: Negligible
    removal
(THE)  Sample averaging time used: less than 24 hours
(SRC)  Source of pollutant: limited point,  multiple point,  and limited


                             1387

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                             Accession No.   16402000148    (cont)

    area
(AR)  Area where sample Has collected: level or gently rolling terrain.
(RNG)  Distance traveled by pollutant from  source: less than 60 km
(REF)  References - User manuals, documentation, etc.:
    Turner, D.B., and Busse, A.D., Users*
    Guides to the Interactive Versions of Three Point Source
    Dispersion Programs:  PTMAX, PTDIS, and PTMTP,
    Preliminary Draft, Meteorology Laboratory, U.S.
    Environmental Protection Agency.   Research Triangle Park,
    NC 27711, 1973.
(CNM)  Contact natne(s): Turner,D.8.
(COR)  Contact organization: U.S. EPA, Environmental Applications Branch
(RQR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects
    Research.Environmental Sciences Research Laboratory.
                             1388

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                             Accession No.   16402000149

(DQ)  Date of Questiouaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Climatological Dispersion Models
(ACR)  Acronym of Data Base  or Model:  COM JCDMQC
(MED)  Media/Subject of Data Base or Model:  Air
(ABS)  Abstract/Overview of  Data Base or Model: The Clinatological
    Dispersion Models (CDMQC/ CDM)  determine long-term (seasonal  or
    annual) quasi-stable pollutant  concentrations at any ground level
    receptor using average emission rates from point and area sources
    and a Joint frequency distribution of Hind direction/ wind speed,
    and stability for the same period,  the  User's Guide for the
    Clinatological Dispersion Model is available from the Environmental
    Protection Agency as EPA-R4-73-024 and  from NTIS (accession number
    PB 227-346-AS). Tha Addendum lo User's Guide For Cliraatological
    Dispersion Model describing the enhancements available in the CDMQC
    is available from EPA as EPA-45013-77-015 and firom HflS
    (PB-274-040).
(CfC)  CONTACTS: D, Bruce Turner     U.S. EPA, Environmental Operations
    Branch LOG: Research Triangle Park/ Mall Drop 80   Ph: (919)
    541-4564
    Loc: North Carolina 27711
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 3-17-83
(CAP)  Functional capabilities of nodel: All input to the models
    appears on output.  Long-term concentrations corresponding to the
    period of joint frequency distribution  of meteorological data
    (usually seasonal or annual)/ assuming  that the emission inventory
    is valid for the same period/ are produced for each receptor.  The
    two contributions to the concentration/  those due to points and
    those due to areas/ are  output.  Receptor locations are specified
    by the user.  An option  Is available to  produce a pollutant
    rose-contribution to the total  concentration from each direction.
(ASM)  Basic assumptions of  model:
    CDMQC and CDM use an arbitrary location  for each point source/ and
    area sources are represented in uniform  grid squares. Receptor
    locations are arbitrary/ as are release  heights for point and area
    sources.  Receptors are  assumed to be at ground level.  The model
    assumes that there are no terrain differences between the source
    and receptors. B.  Emission Rate.   A single rate is aliened for
    each point and area source.  For area sources/ area Integrations
    are done numerically/ one 22.5  degree sector at a time; sampling at
    discrete points is defined by specific  radial and angular intervals
    on a polar grid centered on the receptor. C.  Chemical Composition.
    CDMQC and CDM treat one  or two  pollutants simultaneously* D*   Plume
    Behavior.  Only Briggs (1971) neutral/  unstable formula is used by
    the model.  If the stack height plus the plume rise is greater than
    the mixing height/ then  the ground level concentrations are assumed
    to be equal to zero.  As an alternate to the Briggs formula/  the
    input value of the plume rise times the  wind speed for each point
    source can be used.  No  plume rise is calculated for area sources.
    CDMQC and CDM do not treat fumigation or dounuash. B.  Horizontal
    Wind Field.  The models  use a Clinatological approach/ and utilize
    16 ulnd directions and 6 wind speed classes.  The wind speed  is


                             1369

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                             Accession No.   16402000149    (cent)

    corrected for the release height based  on the power law variation
    exponents from DeMarrais (1959)-  A constants uniform
    (steady-state) wind is assumed.  F«  Vertical Mind Speed,  this is
    assumed to be equal to zero.  G.   Horizontal Dispersion.  The models
    use a clima- tological approach, and assume a uniform distribution
    within each of 16 sectors (narrow-plume approximation).  Averaging
    time for the models is one month to one year. H.   Vertical
    Dispersion.  The models use a semi- empirical/Gaussian plume with
    five stability classes as defined by Turner (1964).  Neutral
    stability is split into day/night cases on input, and dispersion
    coefficients are taken from Turner (1970).  The stability classes
    for area sources is decreased by one category from the input values
    (to account for urban effects)*   Neutral dispersion coefficients
    arc used for all neutral and stable classes. No provision is raade
    for variations in surface roughness. I.  Chemistry/Reaction
    Mechanism-  The models use exponential  decay, and a user-input
    half-life. J.  Physical Removal.  The models utilize exponential
    decay and a user-input half-life.  The  same rate constant is always
    applied. K.  Background-  A single constant background value is
    input for each pollutant.
(INP)  Input to model: Point and area source data, as well as
    meteorological data roust be input to the model.
(DOT)  Output of models Output from  the model includes:  input data;
    one month to one-year averaging  time simulated (arithmetic mean
    only); arbitrary averaging time  by the  Larsen (1969) procedure
    (typically 1-24 hours) which assumes a  lognormal concentration
    distribution and a power law dependence of median and maximum
    concentrations on the averaging  time; an arbitrary number and
    location of receptors; an individual point and area source
    culpability list for each receptor; and a point and area
    concentration rose for each receptor.
(APP)  Applications of model: The source programs for these dispersion
    models are available as part of  UNAMAP  (Version 3), Computer
    Products, NTIS, Springvield,  VA  22161.
(HOW)  Computational system requirements -  Hardware: Mainframe Univac
    1110 ;0isc storage 49k
(LUG)  Computational system requirements -  Language(s) used: Fortran V
(ATP)  Mr Models - Type of model: Gaussian dispersion
(OAQ)  Model reviewed and approved by OAQPS? VES
(PMP)  Production method of primary pollutant in model: Primary
    (emitted directly into atmosphere)
(MPR)  Process used to remove pollutant from atomosphere: Negligible
    removal ;Chemical
(THE)  Sample averaging time used: more than 24 hours
(SRC)  Source of pollutant: multiple point  (more than 10-20)
(AR)  Area where sample was collected: level or gently rolling terrain.
(RNG)  Distance traveled by pollutant from  source: less than 60 km
(REF)  References - User manuals, documentation, etc.:
    Busse, A.D., and Zimmerman, J.R., User's
    Guide for the Climatological Dispersion Model, U.S.
    Environmental Protection Agency, Research Triangle Park,
    North Carolina, Environmental Monitoring Series,


                             1390

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                             accession So.   16402000149    (cent)

    EPA-R4-73-024,  131 p.  CMTIS accession number  PB 227-346/HS,
    $4.75 paper copy), 1973.
    Brubaker,  K,L.; Brown, P.,  and R«R. Cirillo,  Addendum
    to User's  Guide for Climatological Dispersion Model,
    O.S. Environmental Protection Agency Research Triangle Park,
    Horth Carolina, EPA-450/3-77-015, 134 p.  (MTIS accession
    number PB-274-040, $7.25  paper copy), 1977«
(CMM)  Contact name
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                             Accession Na»   16402000150

(DQ)  Date of Questionalre: 12-02-82
(NAM)  Name of Data Base of Model;  Gaussian Plume Multiple Source Air
    Quality Algorithm
CACR)  Acronym of Data Base or Model: RAM
(MED)  Media/Subject of Data Base or Models Air
(ABS)  Abstract/Overview of Data Base or Model! This short-term
    Gaussian steady-state algorithm estimates concentrations of stable
    pollutants from urban point and area sources*  Hourly
    meteorological data are used*, and hourly concentrations and
    averages over a number of hours can be  estimated*  The Sriggs piuse
    rise and the Pasquill-Giffotd dispersion equations with dispersion
    parameters thought to be valid for urban areas are used in the
    model.  Concentrations from area sources are determined using the
    method of Hanna, that is, sources directly upwind are considered
    representative of area source emissions affecting the receptor.
    Special features include determination  of receptor locations
    downwind of significant sources and determination of locations of
    uniformly spaced receptors to ensure good area coverage with a
    minimum number of receptors.
(CTC)  CONTACTS! D. Bruce Turner     EPA-Environmental Sciences
    Research Lab Locs Mail Drop 80  Phs (919) 541-4564
    Loc; RTF, SC 27711
 and the area source contributions are obtained by numerical
    integration along upwind distance of narrow-plume approximation
    formulae for contribution from area-sources with given effective
    release heights. Chemical Composition,   this is treated as a single
    inert pollutant. Plume Behavior.  The model uses Briggs(8),(9),(10)
    plume rise formulas and does not treat  fumigations or doanaash.  If


                             1392

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                             Accession Ho.   16402000150     (cent)

    the plume height exceeds the nixing height,  the ground  level
    concentration is assumed to be zero. Horizontal Mind Field.  The
    model uses user-supplied hourly Mind speeds  and user-supplied
    hourly wind directions (nearest 10 degrees,  internally  modified by
    addition of a random integer value between -4 degrees and +5
    degrees.  Wind speeds are corrected for release height  based on
    power law variation, exponents from DeHarrais(6)>  different
    exponents for different stability classes are used,  and the
    reference height is equal to 10 meters.  A constant, uniform
    (steady-state) Hind is assumed within each hour. Vertical Wind
    Speed.  This is assumed to be equal to zero.  Horizontal Dispersion*
    The model uses a semi-empirical/ Gaussian plume, and hourly
    stability class is determined internally by  TurnerO) procedure
    (six classes are used). Dispersion coefficients are  from McClroy
    and Pooler(4) (urban) or Turner(7) (rural).   No further adjustments
    are made for variations in surface roughness or transport time*.
    Vertical Dispersion.  A semi-empirical/Gaussian plume is used.
    Hourly stability class is determined internally. Dispersion
    coefficients are from McElroy and Pooler(4) (urban) or Turner(7)
    (rural).  So further adjustments are made for variations in surface
    roughness. Chemistry/Reaction Mechanism.  The model  assumes and
    exponential decay with a user-input half life. Physical Removal*
    Exponential decay and a user-input half-life are used.  Background.
    This is not treated.
(INP)  Input to model: Meteorological data must  be input to the model.
(OUT)  Output of model: Output produced by the model includes; hourly
    and average (up to 24 hours) concentrations  at each  receptor;  a
    limited individual source contribution list; and cumulative
    frequency distribution based on 24-hour averages and up to one year
    of data at a limited number of receptors.
(APP)  Applications of model: The source program for this dispersion
    model is available as part of WiAMAP (Version 3),  PB 277 193,  $420,
    from Computer Products, NTIS,
(HOW)  Computational system requirements - Hardware: Mainframe Univac
    1110 jOisc storage ;41K of core
(LNG)  Computational system requirements - Language(s) used: Fortran
(ATP)  Air Models - Type of model: Gaussian dispersion
(OAQ)  Nodel reviewed and approved by OAQPS? VES
(PMP)  Production method of primary pollutant in model:  Primary
    (emitted directly into atmosphere)
(MPR)  Process used to remove pollutant fro« atomosphere: Negligible
    removal
(THE)  Sample averaging time used: more than 24  hours
(SRC)  Source of pollutant: multiple point (more than 10-20)
(AR)  Area where sample was collected: level or  gently rolling terrain.
(RUG)  Distance traveled by pollutant from source: less  than 60 km
(REF)  References - User manuals, documentation, etc.:
    Novak, J.H., and Turner, D.B., "An
    Efficient Gaussian Plume Multiple-Source Air Quality
    Algorithm," Journal of the Air Pollution Control
    Association, 26 (6), 560-575, 1976.
(CNM)  Contact narae(s): Turner,D.fi.


                             1393

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                             Accession No.   16402000150     (cont)

(COR)  Contact organization: EPA-Environmental Sciences  Research
    Laboratory
(ROR)  Responsible Organization:  Office of  Research and
    Development.Office of Environmental Processes and Effects
    Research.Environmental Sciences Research Laboratory.
                             1394

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                             Accession No.   16402000151

(DQ)  Date of Questionaire; 12-02-82
(NAM)  Name of Data Base of Model: EPA HItfAY MODEL
(ACR)  Acronym of Data Base or Model: HIWAY
(MED)  Media/Subject of Data Base or Model: Air
(AfiS)  Abstract/Overview of Data Base or Model: HIHAY Is an Interactive
    program which computes the hourly concentrations of non-reactive
    pollutants downwind of roadways.  It is applicable for uniform wind
    condictions and level terrain.  Although best suited for at-grade
    highways, it can also be applied to depressed highways (cut
    sections).  The "User's Guide for HISAY:  A Highway Air Pollution
    Model," is available for EPA as EPA-650/4/74-008 and from HTIS
    (accession number PB 239-9447AS).
(CTC)  CONTACTS: D. Bruce Turner     EPA-Environmental Sciences
    Research Lab Loc: Mail Drop 80  Ph: (919) 541-4564
    Loc: RTF, NC 27711
(STA)  Data Base status: Operational/Ongoing
(DP)  Date of form completion: 02-17-83
(CAP)  Functional capabilities of model: Hourly estimates of
    concentrations for receptors off roadways are determined resulting
    from a single at-grade or cut-section roadway segment.  The user
    specifies geometry and emissions of roadway segment, meteorological
    conditions to be simulated, and receptor coordinates and height of
    receptor above ground.
(ASM)  Basic assumptions of model: Source-Receptor Relationship:  The
    model uses a horizontal finite line with multiple line sources (up
    to 24 lines).  These are straight lines, arbitrary in orlentatation
    and length.  One road or highway segment is run at a time.
    Receptors are arbitrarily located, downwind of the source, with a
    unique source-receptor distance defined* Arbitrary receptor heights
    and arbitrary release heights are used.  In the cut section mode
    receptors cannot be located in the cut, and emissions are treated
    as coming from 10 equal uniform line sources at the top of the cut.
    A flat terrain is assumed, and line sources are treated as a
    sequence of point sources; the number is such that convergence to
    within 2% is achieved. Emission Rate:  A constant uniform emission
    rate for each lane is assumed. Chemical Composition:  This is not
    applicable to the model. Plume Behavior:  This is not treated.
    Horizontal Hind Field.  The user specifies arbitrary wind speed and
    direction.  No variation of wind speed and direction with height Is
    allowed, and a uniform, constant (steady-state) wind is assumed.
    Vertical Hind Speed.  This is assumed to be equal to zero.
    Horizontal Dispersion.  The model uses a semi-empirical/ Gaussian
    plume, and the user specifies which of 6 stability classes to be
    used:  Turner (1964).  Dispersion coefficients used are from Turner
    (1969); for distances less than 100m, dispersion coefficients from
    Zimmerman and Thompson (1975) are used.  In the level grade mode,
    the initial value of the dispersion coefficient is 3 meters.  In
    the cut section mode, the Initial value of the dispersion
    coefficient is approximated as a function of the wind speed.  No
    further adjustments to the dispersion coefficients are made*
    Vertical Dispersion.  The model uses a semi-empirical/ Gaussian
    pluice in which the user specifies stability class. Dispersion


                             1395

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                             Accession No*   16402000151    (cont)

    coefficients used are from Turner (1969); for distances less than
    100m, dispersion coefficients from Zimmerman and Thompson (1975)
    are used*  In the level grade mode/ the initial o is equal to
    1.5 meters.  In the cut section mode, the initial o is equal to
    a function of the wind speed. Chemistry/Reaction Mechanism.   This
    is not treated. Physical Removal.  This is not treated. Background.
    This is not treated.
(INF)  Input to model: Initial set-up and calibration needs are:  (1)
    in batch mode residual discharges for vehicular line sources are
    input and in interactive mode residual discharges are either input
    or they may be requested from program;  (2) meteorological data:
    wind speed, wind direction* stability class, nixing height;  (3)
    ambient air concentration measurements.  For verification of the
    model, meteorological data and ambient air concentrations are
    needed.
(OUT)  Output of model: Output from the model includes a printout of
    the 1-hour average concentration at each receptor.
(AFP)  Applications of model: The source program for this dispersion
    model is available as part of UMAHAP (Version 3), PB 277 193 for
    §420 from Computer Products, UTIS, Springfield, VA 22161.
(HDW)  Computational system requirements - Hardware: Mainframe Uhivac
    1110 ;Disc storage 12K core
(LNG)  computational system requirements - Language(s) used: Fortran
(ATP)  Air Models - Type of model: Gaussian dispersion
(OAQ)  Model reviewed and approved by OAQPS? Y.ES
(PMP)  Production method of primary pollutant in nodel: Primary
    (emitted directly into atmosphere)
(HPR)  Process used to remove pollutant from atomosphere: Negligible
    removal
(THE)  Sample averaging tiree used: less than 24 hours
(SRC)  Source of pollutant: limited point (less than 10-20)
(AS)  Area where sample was collected: level or gently rolling terrain.
(RNG)  Distance traveled by pollutant from source: less than 60 km
(REF)  References - User manuals, documentation, etc.:
    Zimmerman, J.R.:  and Thompson, R.S., 1975:
    User's Guide for HIHAY:  A Highway Air Pollution Model.
    O.S. Environmental Protection Agency, Research Triangle Park,
    NC. Environmental Monitoring Series, EPA-650/4-74-008, 59 p.
    (NTIS accession number PB 239-944/AS).
(CNM)  Contact name(s): Turner,D.B.
(COR)  Contact organization: EPA-Environmental Sciences Research
    Laboratory
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Processes and Effects
    Research.Environmental Sciences Research Laboratory.
                             1396

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                             Accession No*   16402000152

CDQ)  Date of Questionaires 12-02-82
(NAM)  Name of Data Base of Model:  Air Pollution Research Advisory
    Committee Model 1A
(ACR)  Acronym of Data Base or Model: APRAC-1A
(MED)  Media/Subject of Data Base or Model:  Air
(ABS)  Abstract/Overview of Data Base or Models APRAC* Stanford
    Research Instituted urban carbon monoxide model* computes hourly
    averages for any urban location.  The model requires an extensive
    traffic inventory for the city of interest, and its requirements
    and technical details are documented in User's Manual for the
    APRAC-1A Urban Diffusion Model Computer Program which is available
    from NTIS.
(CTC)  CONTACTS: D« Bruce Turner     EPA-Environmental Sciences
    Research Lab LOG; Mail Drop-80  Phs (919) 541-4564
    Loc: RTP, NC 27711
(STA)  Data Base status: Operational/Ongoing
(DF)  Dote of form completions 03-17-83
(CAP)  Functional capabilities of model: The computer program can be
    used to make calculations of the following types: Synoptic models
    hourly concentrations as a function of time/ for comparison and
    verification with observed concentrations and foe operational
    application. Climatologies! nodeis  the frequency distribution of
    concentrations^ for statistical prediction of the frequency of
    occurrence of specified high concentrations In connection with
    planning activities. Grid-point modal:   concentrations at various
    locations in a geographical grid, providing detailed horizontal
    concentration patterns for operational or planning purposes*
    Roadway link information is limited to 1200 sources*
(ASM)  Basic assumptions of model:
    Source-Receptor Relationship,  the user specifies the set of
    traffic links (line sources) by providing link endpolnts^ road
    type/- daily traffic volume-  The traffic links may have arbitrary
    length and orientation.  Off-link traffic is allocated to a 2 x 2
    Rii« grid.  Link traffic emissions are aggregated into a receptor
    oriented area source array,.  The boundaries of the area sources
    actually treated are 1) arcs at radial distances from the receptor
    which increase in geometric progression^ 2) the sides of a 22*5
    degree sector oriented upwind for distances greater than 1000 IB.J
    and 3) the sides of a 45 degree sector oriented upwind for
    distances less than 1060 nu  A similar area source array is
    established for each receptor*  Sources are assumed to be at ground
    level, and up to ten receptors are allowed in the model*  Receptors
    are at ground level and their locations can be arbitrary*  Four
    internally defined receptor locations on each user- designated
    street are used in a special street canyon sub-model* B*  Emission
    Rate.  Daily traffic volume for each link and off-link grid square
    is input and modified by various factors to produce hour-by-hour
    emissions from each links Link emissions are aggregated as
    described above:  sector area source contributions are obtained
    analytically. Off-link traffic emissions on a two mile grid square
    are added into the sector area sources.  In the street canyon
    sub-models a separate hourly emission rate is provided by the user


                             1397

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                             Accession No.   16402000152    (cent)

    for the link in question. C.   Plume Behavior.   The model does  not
    treat plume rise, and it does not treat fumigation or doynwash
    except in the street canyon sub-»odel0   In the street canyon
    sub-model/  a helical circulation pattern is assumed.  D.   Horizontal
    Mind Field.  Input for the model is hourly Hind speed and direction
    in tens of  degrees.  No variation of Hind speed or direction with
    height is allowed, A constant, uniform  (steady-state) wind is
    assumed within each hour. E.   Vertical  Mind Speed.  This is assumed
    to be equal to zero except in the street canyon sub-model/ ahere a
    helical circulation pattern is assumed. F.  Horizontal Dispersion.
    Section averaging has a uniform distribution within sectors,  Each
    section larger than 1 km. is  divided into sectors of  22.5 degrees;
    sections aithin 1 km. of size are divided into sectors of 45
    degrees* G»  Vertical Dispersion*  the  model utilizes a semi-
    empirical/Gaussian plume.  There are six stability classes, and
    each stability class is determined internally  from user-supplied
    meteorological data (modified by turner,
    1964).  Dispersion coefficients from McElroy and Pooles
    (1968) have been modified using information in Leighton and Dltmar
    (1953)«  $o adjustments are raade for variations in surface
    roughness,  and the downwind distance variation of o(z) is assumed
    to ax(b) for purposes of doing analytic integration.   In the street
    canyon sub-model, an empirical function of wind speed and street
    width and direction is used.  H.  Chemistry/Reaction Mechanism.
    This is not treated I.  Physical Removal*  this is not treated. J.
    Background.  The box model used to estimate contributions from
    upwind sources beyond 32 km.  is based on wind  speed,  mixing height,
    and annual  fuel consumption*   In the street canyon sub-aodei*
    contributions from other streets are included in the  background.
(IMP)  Input to model: Emission and meteorological information are
    needed for  the saodel.  Emissions are a  function of the hour of the
    day and the day of the week,  and meteorological parameters are
    functions of the hour of the  day.
(OUT)  Output of models Output from the model includes hourly
    concentration values at each receptor and frequency distribution
    based on hourly values,
(APP)  Applications of model; The source program for this dispersion
    model is available as part of UNAMAP (Version  3), PB  277 193,  for
    $420 from Computer Products,  MTIS, Springfield, ¥A
    22161.
(HDW)  Computational system requirements -  Harduare: Mainfrane Univac
    1110 ?DIsc  storage 32k of core memory
(LUG)  Computational system requirements -  Language(s) used: Fortran
{ATP)  Air Models - Type of model: Gaussian dispersion
(QAQ)  f*odel reviewed and approved by OAQPS? ¥ES
{PHP)  Production method of primary pollutant in model: Primary
    (emitted.directly into atmosphere)
(MPR)  Process  used to remove pollutant frow atomospheres Negligible
    removal
(THE)  Sample averaging time used: more than 24 hours
CSRC)  Source of pollutants limited area
(AR)  Area where sample was collected; level or gently rolling terrain.


                             1398

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                             Accession No,   16402000152    (cent)

(RHG)  Distance traveled by pollutant from source; less than 60 kra
CREF)  References - User manuals/  documentation,  etc.:
    User's Manual foe the APRAC-1A Urban Diffusion
    Model Computer Program, HTIS ACCESSION Number PB 213-091
    (@ $5.25 per paper copy, $2.25 for microfiche).
    A Practical, Multipurpose Urban Diffusion Sodel  for
    Carbon Monoxide, NTIS Accession dumber 196-003,
    Field Study for Initial Evaluation of an Urban Diffusion
    Model for Carbon Monoxide, NTIS Accession Number
    PB 203-469.
    Evaluation of the APRAC-1A Urban Diffusion Model for
    Carbon Monoxide, NTIS Accession Number PB 210-813.
    Dabbert, W.F., Ludwig, F.L., and Johnson, W. B.^  Jr.,
    "Validation and applications of an Urban Diffusion  Model
    for Vehicular Pollutants", Atraos. Environ., 7, 603-618,
    1973.
    Johnson, ti.B., Luduig, F.L., Dabbert, W.F., and Allen,
    R.J., "An Urban Diffusion Simulation Model for Carbon
    Monoxide11, Journal of the Air Pollution Control
    Association, 23, 6, pp. 490-498, 1973.
(CNM)  Contact naraeCs): Turner,D.fi.
(COR)  Contact organization: EPA-Environraental Sciences Research
    Laboratory
tROR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Processes and Effects
    Research.Environmental Sciences Research Laboratory.
                             1399

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                             Accession No.  16402000153


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                             Accession !?o.   16402000153    (cont)

    the six stability classes are to be used:   Turner (1964).
    Dispersion coefficients are frost Turner (1969).   For distances less
    than 100m/ dispersion coefficients for  line sources are from
    Zimmerman and Thompson (1975).   The initial value of the dispersion
    coefficient is specified by the user, and  no further adjustments to
    the dispersion coefficients are made. H.  Chemistry/Reaction
    Mechanism.  This is not treated. I.  Physical Removal.   The model
    does not treat this.
(ISP)  Input to model: The user must specify the source types and
    provide meteorological data.
(DOT)  Output of model: Output from the model  includes hourly and
    average (up to 24 hour) concentrations  at  each receptor.
(APP)  Applications of model; The source program for this dispersion
    model is available as part of UNAMAP (Version 3), PB 277 193 for
    §420 from Computer Products, NTIS, Springfield,  VA 22161    22161
(HDW)  Computational system requirements -  Hardware: Mainframe Univac
    111C ;Disc storage 51k approximately
(LNG)  Computational system requirements -  Language(s) used: Fortran
(ATP)  Air Models - Type of model:  Gaussian dispersion
(OAQ)  Model reviewed and approved by OAQPS? NO
(PMP)  Production method of primary pollutant  In model: Primary
    (emitted directly into atmosphere)
(MPR)  Process used to remove pollutant from atomosphere: Negligible
    removal
(THE)  Sample averaging time used:  less than 24 hours
(SRC)  Source of pollutant: Limited and multiple point, limited area,
    and limited time
(AR)  Area where sample was collected: level or gently rolling terrain.
(RHG)  Distance traveled by pollutant from  source: less than 60 km
(RSF)  References - User manuals, documentation, etc.:
    Petersen, V.B., User's Guide for PAL, A
    Gaussian Plume Algorithm for Point, Area,  and Line Sources,
    U.S. Environmental Protection Agency, Research Triangle
    Park, North Carolina, Environmental Monitoring Series,
    EPA-600/4-78-013, 1975.
    Turner, D.B., and Petersen, H.3., A Gaussian Plume
    Algorithm for Point, Area, and Line Sources, KATO/CCMS
    Sixth international Technical Meeting on Air Pollution
    Modeling and Its Application, V 42:  185-228, 1975.
(CNM)  Contact narae(s): Turner,D.B.
(COR)  Contact organization: £PA-Environmental Sciences Research
    Laboratory
(RDR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects
    Research.Environmental Sciences Research Laboratory.
                             1401

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                             Accession No.   16402000154

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Karae of Data Base of  Model: HIWAY-II
(ACR)  Acronym of Data Base  or Model:  HIWAY-II
(MED)  Media/Subject of Data Base or Model: Air
(ABS)  Abstract/Overview of  Data Base  or Model: HIWAV-2 is a batch and
    interactive program which computes the  hourly concentrations of
    non-reactive pollutants  downwind of roadways.  It is applicable for
    uniform Mind conditions  and level  terrain.   Although best suited
    for at- grade highways,  it can also be  applied to depressed
    highways (cut sections).  The "User's Guide for HI8AY-2:  A Highway
    Air Pollution Model," is available for  EPA  as EPA-600-8-800-018 and
    from NTIS as PB 80-227-576,
(CTC)  CONTACTS: William Peterson   SPA/Environmental Sciences
    Research Lab Loc: Research Trinagle Park, Ph: (919) 541-4564
    Loc: SC 27711
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 03-17-83
(CAP)  Functional capabilities of model: Hourly estimates of
    concentrations for receptors off roadways are determined resulting
    from a single at-grade or cut-section roadway setment.  The user
    specifies geometry and emissions of roadway segment, meteorological
    conditions to be simulated, and receptor coordinates and height of
    receptor above ground.
(ASM)  Basic assumptions of  wodel: Source-Receptor Relationship:  The
    model uses a horizontal  finite line with multiple line sources (up
    to 24 lines).  These are straight  lines, arbitrary in orientation
    and length.  Receptors are arbitrarily  located, downwind of the
    sources, with a unique source-receptor  distance defined*  Arbitrary
    receptor heights and arbitrary release  heights are used*  In the
    cut-section mode receptors cannot  be located in the cut, and
    emissions treated as coming from 10 equal uniform line sources at
    the top of the cut.  A flat terrain is  assumed, and line sources
    are treated as a sequence of point sources; the number is such that
    convergence to within 2% is achieved. Emission Rate:  A constant
    uniform emission rate for each lane is  assumed. Chemical
    Composition:  This is not applicable to the model. Plume Behavior:
    This is not treated. Horizontal Mind Field:  The user specifies
    arbitrary wind speed and direction.  No variation of wind speed and
    direction with height is allowed,  and a uniform, constant
    (steady-state) wind is assumed. Vertical Wind Speed:  This is
    assumed to be equal to zero. Horizontal Dispersion:  The model uses
    a semi-empirical/ Gaussian plume,  and the user specifies which of 6
    stability classes to be  used, Turner (1964).  For distances less
    than 300 m empirically derived dispersion parameters are used, Rao
    et al.  (1980).  In the  level grade mode, the intial value of the
    dispersion coefficient is twice the value for the initial vertical
    dispersion coefficient.   In the cut- section mode, the initial
    value of the dispersion coefficient is  approximated as a function
    of the wind speed. Vertical Dispersion:  The model uses a
    semi-empirical/ Gaussian plume in which the user specifies
    stability class. Dispersion coefficients used are from Turner
    (1969); for distances less than 300 m dispersion coefficients from


                             1402

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                             Accession Ho.   16402000154    (cont)

    Rao et al.  (1980) are used.   In the level grade mode,  the Initial
    o is a function of the crossroad wind component with a maximum
    value of 3.57 m and a minimum value of  1.5 tn.  in the  cut section
    mode the initial dispersion  parameter is a function of wind speed.
    I. Chemistry/Reaction Mechanism.  This  is not treated. J.  Physical
    Removal.  This is not treated. K.   Background.  This is not treated.
(INP)  Input to model: Initial set-up  and calibration needs are (1)  in
    both batch and interactive mode, discharges for vehicular line
    sources are input into the program; (2) meteorological data:   wind
    speed, wind direction, stability class, mixing height; (3) ambient
    air concentration measurements. For verification of the model,
    meteorological data and ambient air concentrations are needed.
(OUT)  Output of model: Output from the model includes a printout  of
    the 1-hour average concentration at each receptor*
(APP)  Applications of model: The source program for this dispersion
    model is available as a part of UNAMAP  (Version 3), PB 277-193 for
    $420 from Computer Products, NTIS, Springfield, VA
    22161.
(HDW)  Computational system requirements -  Hardware: Mainframe Univac
    1100 ;Disc storage 6K
(LNG)  Computational system requirements -  Language(s) used: Fortran
(OSK)  Computational system requirements: Operator Knowledge/Skills: Sng
    ineering
(ATP)  Air Models - Type of model: Gaussian dispersion
(OAQ)  Model reviewed and approved by OAQPS? YES
(PMP)  Production method of primary pollutant in model: Primary
    (emitted directly into atmosphere)
(MPR)  process used to remove pollutant from atomosphere:  Negligible
    removal
(THE)  Sample averaging time used: less than 24 hours
(SRC)  Source of pollutant: Automotive
(AR)  Area where sample was collected: level or gently rolling terrain.
(RNG)  Distance traveled by pollutant from  source; less than 60 km
(REF)  References - User manuals, documentation, etc.:
    Petersen, W.B., 1980.  user's Guide for
    HIWAY-2:  A Highway Air Pollution Model.  U.S.
    Environmental Protection Agency, Research Triangle Park,
    HC., EPA-600/8-80-018, 70 p.
    Rao, S.T. and M.T. Koonan, 1980:  Suggestions for
    Improvement of the EPA-HIWAY Model.  JAPCA, 30, 6, pp
    247-256,
(CUM)  Contact name(s): Peterson,**.
(COR)  Contact organization: EPA/Environaental Sciences Research
    Laboratory
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects
    Research.Environmental Sciences Research Laboratory.
                             1403

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                             Accession Mo.   16402000155

(DQ)  Date of Questionalre: 12-02-82
(NAM)  Name of Data Base of Models Multiple Point Gaussian Dispersion
    Algorithm with  Optional
(ACR)  Acronym of Data Base or Model: MPTER
(MED)  Media/Subject of Data Base or Models Air
(ABS)  Abstract/Overview of Data Base or Model; MPTER is a multiple
    point-source Gaussian model with optional terrain adjustments*
    MPTER estimates concentrations on an hour-by-hour basis for
    relatively inert pollutants (i.e., sulfur dioxide and TSP).  MPTER
    uses Pasquill-Gifford dispersion parameters and Sriggs plume rise
    methods to calculate the spreading and  the rise of plumes,  fhe
    model is most applicable for source-receptor distances less than 10
    kilometers and for locations with level or gently rolling terrain.
    Terrain adjustments are restricted to receptors nhose elevation is
    no higher than the lowest stack top.  In addition to terrain
    adjustments options are also available  for wind profile exponents^
    buoyancy induced dispersion, gradual plume rise, stack dounuash,
    and plume half-life.
(CTC)  CONTACTS: Tom Pierce and Bruce Turner   EPA Emrlroaaiental
    Sciences Re Laboratory
    Loc: Davis Drive   Ph: (919) 641-4564
    Loc: RTP, MC 27711
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 03-17-83
(CAP)  Functional capabilities of model: MPTER computes hour-by-hour
    concentrations for relatively inert pollutants for each
    source-receptor pair. MPTER can handle  up to 250 point sources  and
    180 receptors. Modal users have the option of specifying elevations
    and location coordinates in either metric or English units. Hourly
    met data can be read either off cards or off disk/tape. HPTSR can
    calculate concentrations for averaging  periods of If 3f 8 and 24
    hour for up to a year's data.  Annual concentrations can also be
    computed.
(ASM)  Basic assumptions of model: MPTER is based upon Gaussian
    dispersion theory using mean meteorology conditions on an
    hour-by-hour basis.  Dispersion coefficients used to calculate  both
    vertical and horizontal spreading are those of Pasquill and
    Gifford.  The rising plume is assumed to completely reflect off the
    top of the mixing height in neutral and unstable conditions.  The
    plume rise is based on Briggs.  MPTSR can also optionally consider
    stack dounwashs buoyancy induced dispersion^ and gradual plume
    rise.  MPTSR can either utilize constant emission rates or hourly
    emission rates for each point source,  fhe emitted pollutants
    should be relatively inert chemically since MPTER does not consider
    complex physical removal or chemical reaction processes. Users  can
    approximate exponential decay of a pollutant by supplying a
    half-life.  Wind speeds are extrapolated to stack top using user
    supplied wind profile exponents,,  the optional terrain adjustment
    reduces the plume height relative to the ground.  Additional
    terrain adjustment factors can be entered which control the
    proportion of terrain adjustment        g according to stability
    class.


                             1404

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                             Accession No.   16402000155    (cont)

(IMP)  Input to model:  Input for MPTER Includes:   control-data,
    emission data,  receptor information,  and hourly met data.  The
    hourly met data can be read either off cards  or from a disk/tape
    preprocessed from MCC surface/upper-air observations.   Hourly
    emission data can optionally be input from disk/tape.
(OUT)  Output of model: The variety of MPTER options allow the user to
    output to a printer or to write to tape information required for  a
    multitude of applications.   Tape/disk files can be written
    containing hourly concentrations for  each receptor for each  source,
    hourly concentrations for each receptor for all sources/
    concentrations  for  user specified averaging periods, and  highest
    five concentrations for each receptor for each averaging  period.
    MPTER allows even more flexibility on printed output.   The range  of
    options include printout for the highest five concentrations for
    each receptor to printout for hourly  contributions from each source
    at each receptor*
(APP)  Applications of  model: The frequent use of MPTSR is to assess
    air quality from multiple point sources to compare with National
    Ambient Air Quality Standards for S0(2) or TSP. MPTER can estimate
    concentrations for  a single source at one or  more receptors  for one
    hour, or it can simulate concentrations on an hour-by-hour basis
    for as many as 250  point sources at up to 1180 receptors  for up to
    a year. The types of multiple applications for which MPTER is
    suited include  stack design studies,  combustion source permit
    applications, regulatory variances evaluation, monitoring network
    design, control strategy evaluation,  coal conversion studies,
    control technology  evaluation, new source review, and prevention  of
    significant deterioration (within 10  km).
(HDW)  Computational system requirements  - Hardware: Mainframe IBM  360,
    CDC 6600, or Univac 1100/82 ;Disc storage Magnetic tape storage or
    disc ^Printer 132 position line printer ; Card reader/punch,and/or
    tape/disc input
(LNG)  Computational system requirements  - Language(s) used:  Fortran
(OSK)  Computational system requirements: Operator Knowledge/Skills:  Pro
    gramming }Air quality meteorology
(ATP)  Air Models - Type of model: Gaussian dispersion
(OAQ)  Model reviewed and approved by OAQPS? YSS
(MPR)  Process used to  remove pollutant froa atoraosphere:  Negligible
    removal
(THE)  Sample averaging time used: less than 24 hours
(SRC)  Source of pollutant: multiple point (more  than 10-20)
(AR)  Area where sample was collected: level or gently rolling terrain.
(RNG)  Distance traveled by pollutant from source: less than  60  km
(REF)  References - User manuals, documentation,  etc.:
    Pierce, I.E. and Turner, D.B., 1980:   User's
    Guide for MPTER:  A Multiple Point Gaussian Dispersion
    Algorithm with Optional Terrain Adjustment.  EPA-600/8-80-016,
    U.S. Environmental  Protection Agency, Research Triangle Park,
    NC.  239pp.
    U.S. Environmental  Protection Agency, 1980:  MPTER tape.
    (Computer programs  on tape containing programs, and PTPLU
    screening model) NTIS PB 80-168156, National  Technical


                             1405

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                             Accession No,   16402000155    (cent)

    Information Service* Springfield, ¥A«
(CUM)  Contact naraeCs): Turner,f.P.
(COR)  Contact organization: EPA Environmental Sciences Research
    Laboratory
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects
    Research.Environmental Sciences Research Laboratory.
                             1406

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                             Accession lio»   16402000156

(DQ)  Date of QuestionaireS  12-02-82
(KAM)  Name of Data Base of  Model;  Point Source Gaussian Plume  Model
CACR)  Acronym of Data Base  or Model:  PTPLU
CMED)  Media/Subject of Data Base or ModelJ  Ait
(ABS)  Abstract/Overview of  Data Base or Models PTPLU is a  point  source
    dispersion Gaussian screening model for  estimating maximum  surface
    concentrations for 1-hour concentrations.   PTPLU is  based upon
    Briggs plume rise methods and Pasguill-Gifford dispersion
    coefficients as outlined in the Workbook of Atmospheric Dispersion
    Estimates. PTPLU is an adaptation and improvement of PTMAX  which
    allows for wind profile  exponents and other optional calculations
    such as buoyancy induced dispersion, stack dounuash, and gradual
    plume rise. PTPLU produces an analysis of concentration as  a
    function of wind speed and stability class for both  wind speeds
    constant with height and wind speeds increasing with height.   Use
    of the extrapolated wind speeds and the  options allows  the  model
    user a more accurate selection of distances to maximum
    concentration.
CCTC)  CONTACTS: Tom Pierce      EPA/Environmental Sciences  Research
    Laborato Locs HO-80   Phs (919) 541-4564
    Locs Research Triangle Park, NC 27711
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: Q3-17->-83
(CAP)  Functional capabilities of model: PTPLU estimates the maximum
    ground-level concentration and the distance to the maximum  for  both
    wind speeds constant with height and wind speeds increasing with
    height for each stability class.  The user has the option of
    selecting anemometer height, receptor height, wind profile
    exponents, stack dounwash, buoyancy induced dispersion, gradual
    plume rise, and mixing height.   Output consists of 2 two-
    dimensional tables listing maximum concentrations, distance to
    maximum concentrations,  and effective plume heights  for a range of
    surface wind speeds and  extrapolated wind speeds in  each stability
    class.
(ASM)  Basic assumptions of  models  PTPLU calculates the  source-
    receptor distance to the point of maximum concentration for each
    wind speed and stability class. Relatively inert pollutants are
    modeled and emissions are assumed to be  constant.  The  plume  is
    spread horizontally and  vertically using P-S dispersion
    coefficients.  Briggs plume rise computations are employed  with
    options available for buoyancy induced dispersion, stack downuash,
    and gradual plume rise.   PTPLU does not  allow for any depletion of
    the plume by physical removal or chemical reactions. Eddy
    reflection with the ground is assumed.   If the effective plume
    height is calculated to  be below the mixing height in neutral and
    unstable conditions, then multiple reflections of the plume between
    the ground and the mixing height are computed.  But  if  the
    effective plume height is above the mixing height in neutral  and
    unstable conditions then no calculations are made for ground-level
    concentrations. Also, ground-level concentrations are not
    calculated if the distance to maximum concentration extends beyond
    100 kilometers from the source.  Cautionary messages are printed


                             1407

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                             Accession No.   16402000156    (cont)

    for plume heights greater than 200 meters and plume resident times
    greater than that expected under normal atmospheric conditions*
(INP)  Input to model:  PTPLU is extremely convenient since only nominal
    effort is needed to supply the necessary input.  Four data cards
    are needed for a single run, however/ additional separate point
    sources can be analyzed by input of two data cards for every
    source.  Information required to run PTPLU includes selection of
    options, anemometer height, wind profile exopnents/ stack
    parameters {emission rate, stack height/ exit velocity/ stack gas
    temperature/ and stack diameter)/ receptor height/ and mixing
    height.
(OUT)  Output of model: PTPLU is a screening model and its output
    results can be helpful in more detailed modeling.  In particular/
    the tables of concentration and distance to maximum concentration
    can be examined for selection of receptor distances for use in
    detailed models.
(APP)  Applications of  model: The source code of PTPLU is written in
    ASCII Fortran.  PTPLU calls six subroutines but on the UNIVAC
    1100/82 PTPLU does  not require any special software or facilities.
    approximately 12K of core memory are needed for execution on the
    UNIVAC 1100/82,
(RDSO  Computational system requirements -  Hardware: Mainframe Univac
    1100/82, IBM 360/ CDC 6600 ^Printer 132 cha
(LNG)  Computational system requirements -  LanguageCs) used: Fortran
(OSK)  Computational system requirements: Operator Knowledge/Skills: Pro
    gramming ;Air quality meteorology
(ATP)  Air Models - Type of aodel: Gaussian dispersion
(OAQ)  Model reviewed and approved by OAQPS? YES
(PMP)  Production method of primary pollutant in model: Primary
    (emitted directly into atmosphere)
(MPR)  Process used to  remove pollutant from atomosphere: Negligible
    removal
(THE)  Sample averaging time used: less than 24 hours
(SRC)  Source of pollutant: limited point (less than 10-20)
(AR)  Area where sample was collected: level or gently rolling terrain.
(RNG)  Distance traveled by pollutant from  source: less than 60 k«
(REF)  References - User manuals/ documentation/ etc.:
    The PTPLU source program is presently
    avaialable on the MPTER tape from COMPUTER PRODUCTS/
    HTIS/ Springfield/  Va 22161.  Ask for PB80-168156; the
    price is §420.  The PTPLU program will  also be available
    on UMAMAP (Version  4) scheduled to arrive at NTIS in
    December 1980.  Preparation of a users  guide is underway/
    and the users guide should be available by October 1981.
(CNM)  Contact name(s): Pierce/T.
(COR)  Contact organization: EPA/Environmental Sciences Research
    Laboratory
(ROR)  Responsible Organization: Office of  Research and
    Development. Office of Environmental Processes and Effects
    Research.Environmental Sciences Research Laboratory.
                             1408

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                             Accession No.   16402000157

(DQ)  Date of Questionaire: 12-02-82
(NAM;  Same of Data Base of Model:  Averaging Time Model
(ACR)  Acronym of Data Base or Model: AVGTIME
(MED)  Media/Subject of Data Base or Model;  Air
(ABS)  Abstract/Overview of Data Base or Model: AVGTIME is a
    mathematical model based on two characteristics that are often
    demonstrated by air quality data:  (1)  air pollutant concentrations
    tend to be lognorraally distributed for  all averaging tines and (2)
    median (50 percentile) concentrations tend to be proportional to
    averaging time raised to an exponent and thus plot as a straight
    line on logarithmic graph paper*  Two percentile concentrations (at
    the same or at different averaging tines) are read into the model
    and concentrations for the maxima or any percentiles can then be
    calculated for any other averaging times.
(CTC)  CONTACTS: Ralph Larsen   Environmental Sciences Research
    Laboratory
    Loc: HD-80 Research Triangle Park,     Ph: (919) 541-4564
    Loc: NC 27711
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 03-17-83
(CAP)  Functional capabilities of nodel: The detailed characteristics
    of the model are described by a dozen equations on pp. 51*52 in
    Ref. 2.  Two input concentrations are entered into the proper
    equation to calculate two output parameters:  the geometric mean
    and standard geometric deviation for one averaging time. The other
    equations are then used to calculate these two output parameters,
    the maxima/ and the concentrations for  any desired percentiles for
    any other averaging times.
(ASH)  Basic assumptions of model:  Analyses of air pollutant
    concentration data suggest that urban concentrations often tend to
    fit a general mathematical model having the following three
    characteristics:  (1) Pollutant concentrations are lognormally
    distributed for all averaging times.  (2) Median concentrations are
    proportional to averaging time raised to an exponent.  (3) Maximum
    concentrations are approximately inversely proportional to
    averaging time raised to an exponent.  A 2- parameter averaging
    time model with the above three characteristics has been developed
    (Rets. 1 and 2). Air pollutant concentrations measured near
    isolated point sources often do not fit a 2-parameter lognorntal
    distribution very well.  Such data often do fit a 3-parameter
    lognormal distribution fairly veil.  A 3-parameter averaging tine
    model has therefore been developed to model such data (Ref. 3).
(INP)  Input to model: The user inputs any two air quality measurements
    for the 2-parameter model.  These two input parameters might be the
    concentrations exceeded 0.1% and 30% of the time for 1 hr average
    concentrations for instance.  The two input concentrations can be
    at the same or different averaging times.  The user Inputs any
    three air quality measurements into the 3-parameter model, at
    either the same or at different averaging times.
(OUT)  Output of model: The equations mentioned under "Functional
    Capabilities'* are used to calculate expected concentrations.
    Expected highest and second highest concentrations for various


                             1409

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                             Accession No.   16402000157    (cent)

    averaging times (I/ 3/ 8/ and 24 hr/ and 1 yr) can be easily
    determined by using fable II in Ref. 3.  The 3-parameter averaging
    time model is more difficult to use than is the 2-pararaeter model.
    Trial and error techniques can be used to calculate the third
    parameter (a constant that is added or subtracted from each of the
    three input concentration measurements)  needed to fit the data to a
    2-parameter lognormal distribution.  Alternatively* a 500 card
    FORTRAN job deck is available that will  calculate expected max its a
    and percent!le concentrations for several averaging times based on
    three concentration measurements input to the model.  The job  deck
    is available on request from the "Technical Contact" listed be Ion*
(APP)  Applications of model: As the title of Ref. 2 implies/ the
    averaging time model has been used to relate air quality
    measurements to air quality standards to determine overall average
    percent emission reductions neeed to achieve air quality standards.
    The input air quality data can either be measured or
    dispersion-modeled. Air quality data for one averaging time have
    been used to calculate percentiles and expected maxima for other
    averaging times for uhcih air quality standards have been written.
    Air quality measurements might be available for 24 hr average
    concentrations of sulfur dioxide for instance. The model could be
    used to calculate expected maximum concentrations for 3 hr averages
    and these maxima could then be compared with the 3 hr sulfur
    dioxide National Ambient Air Quality standard (NAAQS).

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                             Accession Ho.   16402000151     (cont)

(ROR)   Responsible Organization:  Office of  Research  and
    Development.Office of Environmental Processes and Effects
    Research.Environmental Sciences Research Laboratory.
                             1411

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                             Accession No.   16404000106

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Exposure Analysis Modeling System

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                             accession No.   16404000106     (cent)

    (404)  546-3148
(CAP)  Functional capabilities of model:  The set of unit process models
    used to compute the kinetics of toxicants is the central core  of
    EXAMS.  These unit models ate all "second-order" models, in other
    words/ each process equation includes a direct statement of the
    interactions between the chemistry of a toxicant and the
    environmental forces that shape its behavior in aquatic systems.
    Host of the process equations are based on standard  theoretical
    constructs or accepted empirical relationships. For  example/ the
    light intensity in the water column of  the system is computed  using
    the Beer-Lambert law/ and temperature corrections for rate
    constants are computed using Arrhenius  functions, lonization of
    organic acids and bases/ and sorptlon of the toxicant with
    sediments and biota/ are treated as therraodynamic properties or
    (local) equilibria that constrain the operation of the kinetic
    processes.  For example/ an organic base in the water column may
    occur in a number of molecular species  (as dissolved ions/ sorbed
    with sediments/ etc.)/ but only the uncharged/ dissolved species
    can be volatilized across the air-water interface.  EXAMS allows
    for the simultaneous treatment of up to 15 molecular species of a
    toxicant.  These include the parent uncharged molecule/ and singly
    or doubly charged cations and anions/ each of which  can occur  in a
    dissolved/ sediment-sorbed/ or biosorb ad form.  The  model computes
    the fraction of the total concentration of toxicant  that is present
    in each of the 15 molecular structures  (the "distribution
    coefficients/" ALPHA).  These values enter the kinetic equations as
    multipliers on the rate constants.  The model thus completely
    accounts for differences in reactivity that depend on the molecular
    form of the toxicant.  EXAMS makes no intrinsic assumptions about
    the relative transformation reactivities of the 15 molecular
    species.  These assumptions are under direct user control through
    the way the user structures the chemical input data. EXAMS computes
    the kinetics of transformations due to  direct photolysis/
    hydrolysis/ biotransformation/ and oxidation reactions.  The input
    chemical data for hydrolytic/ biological/ and oxidative reactions
    can be entered either as single valued/ second-order rate
    constants/ or as pairs of values defining the rate constant as a
    function of the environmental temperature specified  for each
    compartment. EXAMS includes two algorithms for computing the rate
    of photolytic transformation of a toxicant.  These algorithms  were
    structured to accommodate the two more common kinds  of laboratory
    data and chemical parameters available to describe photolysis
    reactions.  The simpler of the algorithms (subroutine PHQTOl)
    requires only an average first-order rate constant (KOPG)
    applicable to near-surface waters under cloudless conditions at a
    specified reference latitude (RFLATG).   In order to  give the user
    control of reactivity assumptions/ KDPG is coupled to user-supplied
    (normally unit-valued) reaction quantum yields (QUA8TG) for each
    molecular species of the toxicant.  The more complex algorithm
    (subroutine PHOTQ2) computes photolysis rates directly from the
    absorption spectra (molar extinction coefficients/ ABSG) of the
    compound and its ions/ measured values of the reaction quantum


                             1413

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                         Accession No.   16404900106    (cont)

yields/ and the environmental concentrations of competing light
absorbers (chlorophyll/ suspended sediments/ dissolved organic
carbon/ and water itself).  The total rate of hydrolytic
transformation of a toxicant is computed by EXAMS as the sura of
three contributing processes. Each of these processes can be
entered via simple rate constants/ or as Arrhenius functions of
temperature.  The rate of specific acid catalyzed reactions Is
computed from the pH of each sector of  the ecosystem/ and specific
base catalysis is computed from the environmental pOH data.  The
rate data for neutral hydrolysis of the compound is entered as a
set of pseudo-first- order rate coefficients {or Arrhenius
functions) for reaction of the 15 (potential) toxicant species with
the Hater molecule. EXAMS allows the user to compute biodegradation
of the toxicant in the water column/ and in the bottom sediments/
of the system as entirely separate functions*  Both models are
second-order equations that relate the  rate of biodegration to the
size of the bacterial population actively degrading the compound.
The second-order rate constants (KBACMG for the water column/
KBACSG for  benthic sediments) can be entered either as single-
valued constants or as functions of temperature.  When a non-xeso
value is entered for the Q-10 of a biodegradation {parameters
QTBAWG and QTBASG respectively)/ KBAC is interpreted as the rate
constant at 20 degrees C.,  and the biotransfcrmation rate in each
sector of the ecosystem is adjusted for the local temperature
(BlCfMG). Oxidation reactions are computed from the chemical input
data and the total environmental concentrations of reactive
oxidizing species (alkylperoxy and alkoxyl radicals/ etc) specified
by the user.  The chemical data can again be entered either as
simple second-order rate constants/ or  as Arrhenius functions.
Internal transport/ and export/ of a toxicant occur in EXAMS via
advective and dispersive movement of dissolved/ sediment- sorbed/
and biosorbed materials/ and by volatilization losses at the
air-water interface.  EXAMS provides a  set of vectors (JFR&DG/
etc.) that allows the user to specify the location and strength of
both advective and dispersive transport pathways.  Advection of
water through the system is then computed from the water balance/
using hydrologic data (rainfall/ evaporation rates/ streamflows/
grounduater seepages/ etc.) supplied as part of the definition of
each environment. Dispersive interchanges within the system, and
across system boundaries/ are computed  from the characteristic
length (CHARLG)/ cross-sectional area {XSfURG}/ and dispersion
coefficient (DSPG) specified for each active exchange pathway.
SXAMS can compute transport of a toxicant via whole-sediment
bedloads/ suspended sediment wash-loads/ ground-water infiltration/
transport through the thermocline of a  lake/ losses in effluent
streams/ etc.  Volatilization losses are computed using a Whitman
model.  This computation treats the total resistance to transport
across the air-water interface as the sura of resistances In the
liquid and vapor phases immediately adjacent to the interface.
External loadings of a toxicant can enter the ecosystem via point
sources (STRLDG)/ non-point sources (NPSLDG)/ dry fallout or aerial
drift (DRFLDG)/ atmospheric wash-out (PCPLDG)/ and via ground-water


                         1414

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                             Accession Ho.   16404000106    (cont)

    seepage (IFLLDG) entering the system.   Any type of load can be
    entered for any system compartment, but the program will not
    implement a loading that is inconsistent with the system
    definition.  For example, the program will automatically cancel a
    PCPLD entered for the hypolimnion or benthic sediments of a lake
    ecosystem.  When this type of corrective action is executed/ the
    change is reported to the user via an error message.
(ASM)  Basic assumptions of model: EXAMS has been designed to evaluate
    the consequences of long term, time-averaged toxicant loadings that
    ultimately result in trace-level contamination of aquatic systems.
    SXAKS generates a steady-state, average flow field for the
    ecosystem.  The model thus cannot evaluate the transient
    concentrated EECs that arise, for example, from spills of toxic
    chemicals.  This limitation derives from two factors: First, a
    steady flow field is not always appropriate for evaluating the
    spread and decay of a major pulse (spill) input. Second, the
    assumption of trace-level EECs, which can be violated by spills,
    has been used to design the process equations used in EXAMS*  The
    following assumptions were used to build the model: A first-order
    evaluation can be executed independently of the toxicant's actual
    effects on the system.  In other words, the toxicant does not
    itself radically change the environmental variables that drive its
    transformations.  Thus, for example, an organic acid or base is
    assumed not to change the pH of the system, the toxicant is assumed
    not to itself absorb a significant fraction of the light entering
    the system, and bacterial populations do not grow (or decline)
    simply due to the presence of the chemical. EXAMS uses linear
    sorption isotherms, and second-order (rather than
    Michaelis-Mentea-Monod) expressions for biolysis.  This approach is
    knovn to be valid for low concentrations of pollutants; its
    validity at high concentrations Is less certain. EXAMS controls its
    computational range to ensure that this assumption is not grossly
    violated.  The program will not report EECs for loadings that
    result in aqueous-phase toxicant residuals greater than 50% of the
    aqueous solubility of the compound.  This restraint incidentally
    allows the model to ignore precipitation of the toxicant from
    solution, and precludes inputs of solid particles of the chemical.
    Sorption is treated as a thermodynamic or constitutive property of
    each compartment in the system, that is, sorption/desorption
    kinetics are assumed to be rapid compared to other processes, the
    adequacy of this assumption is partially controlled by properties
    of the toxicant and system being evaluated. Extensively sorted
    chemicals tend to be sorbed and desorbed more slowly than weakly
    sorbed compounds; 
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                             Accession No.   16404000106    (cont)

    obtained via the method of lines/ using a Runge-Kutta 4th-5th  order
    and a Gear stiff equation numerical integrator.
(INP)  input to model: Input parameters Include: A set of pollutant
    loading rates on each sector of the ecosystem. Toxicant molecular
    ueight, solubility, and ionization constants. Sediment- and bio-
    sorption parameters;  Kp, Koc or Kou,  biomasses, benthic Hater
    contents and bulk densities, suspended sediment concentrations,
    sediment organic carbon, ion exchange  capacities. Volatilization
    parameters:  Henry's Lau constant or vapor pressure data,
    windspeeds, reaeratiorr rates. Photolysis parameters:   quantum
    yields, absorption spectra, surface scalar irradiance, cloudiness,
    scattering parameters,  suspended sediments, chlorophyll, dissolved
    organic carbon. Hydrolysis?  2nd-order rate constants or Arrhenius
    functions for the relevant molecular species, pH, pOH,
    temperatures. Oxidation;  rate constants, temperature, oxidant
    concentrations. Biotransformation:  rate constants, temperature,
    total and active bacterial population  densities. Parameters
    defining strength and direction of advective and dispersive
    transport pathways. System geometry and hydrology:  volumes, areas,
    depths, rainfall, evaporation rates, entering stream and
    non-point-source flows  and sediment loads, ground Hater flows.
    Although EXAMS allows for the entry of extensive environmental
    data, the model can be  run with a much reduced data set when the
    chemistry of a toxicant of Interest precludes some of the
    transformation processes.  For example, pH and pCH data can be
    omitted in the case of  neutral organics that are not subject to
    acid or alkaline hydrolysis reactions.   An environmental "Canonical
    Data Base" is under development by EPA for eventual linkage to
    EXAF5.

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                             Accession Ho.   16404000106    (cont)

(D3K)  Computational system requirements1  Operator Knowledge/Skills:  bas
    ic ecology/chemistry
(&ITP)  Water Models - Type of model:  Water  quality
(SNV)  Environraent(s) to which model  applies;  Estuary >Lake
    >Stream/river jMetiands
{COM)  Processes and constituents included  in  model: Erosion and
    sediment jToxic chemicals ^Temperature  jBiologic Hydrology

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                             Accession No,   16404000111


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                         Accession No.  16404000111    (cont)

quality algorithms use first order kinetics except in the plankton
algorithms, where Monod growth kinetics are Incorporated. Module
PKRLND simulates a pervious land segment with homogeneous
hydrologic and climatic characteristics.  The simulation of snou
accumulation and melt is based on an energy balance approach. Hater
movement is modeled along three flou paths—overland flow,
interflow and groundwater flow—in the manner of the Stanford
Watershed Model*  Erosion processes include sediment detachment by
rainfall splash and man's influence and transport by overland f
Scour in rills and gullies is also considered. Water quality
constituents may be simulated in the fashion of the NFS model using
simple relationships «ith sediment and uater yield or by using the
detailed algorithms for pesticides and nutrients as in the ARM
model. Module IMPLND is designed to simulate impervious land
segments where little or no infiltration occurs.  Algorithms are
similar to PERLMD except that no uater movement occurs by interflow
or groundwater flow.  Solids are simulated using accumulation and
removal relationships in the manner of urban models such as SHHH
and STORM.  Water quality constituents are simulated using
empirical relationships vith solids and uater yield. Module RCHRES
simulates the processes that occur in a single reach of an open
channel or a completely mixed lake.  Hydraulic behavior is modeled
using the kinematic wave assumption. The outflow of an element may
be distributed across several targets that might represent normal
outflows/ diversions, and multiple gates on a reservoir.
Temperature is simulated using a heat balance approach.  Sediments
may be simulated as tuo components—uashload and sandload.  Power
relationships to flow predict transport capacity and scour and
deposition of the sandload is modeled.  Sediment transport may also
be modeled using the Tolby or Toffaleti equations for sand
transport and the Krone and partheniades equations for the cohesive
sediments. Conservative and nonconservative constituents are
simulated in a manner that allows maximum user flexibility.  The
following processes can be considered in simulating a
nonconservative constituent such as a toxic organic chemical
advection? decay by hydrolysis, oxidation, photolysis,
volatilization, or biodegradation; production of daughter products;
and adsorption/desorptlon on sediments. The primary dissolved
oxygen and biochemical oxygen demand balances are simulated in the
traditional manner, with provisions for decay, settling, benthal
sources, reaeration, etc.  The primary nitrogen balance is modeled
as sequential reactions from ammonia through nitrate.
Devitrification is also considered.  Both nitrogen and phc
are considered in modeling three types of plankton— phytop,.............
zooplankton, and attached algae.  Dissolved oxygen is considered in
modeling plankton and the nitrogen cycle.  Hydrogen Ion activity
(pH) is calculated considering carbon dioxide, total inorganic
carbon, and alkalinity. HSPF's utility modules are designed to give
the user maximum flexibility in managing simulation input and
output*  COPY is used to manipulate time series.  The user can
change the form of the time series during the COPY operation.  A
5-minute rainfall record may be aggregated to an hourly time


                         1419

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                             Accession No.   16404000111    (cont)

    interval, for example,  the PLTGEN module creates a specially
    formatted sequential file for later access by a stand-alone plot
    program.  DISPLY takes a time series and summarizes the data in a
    neatly formatted table.  Aggregation of the basic data is also
    possible. DURANL performs a duration and excursion analysis on a
    time series and computes some elementary statistics.  It can answer
    questions likes  "How often does dissolved oxygen stay below 4 mg/1
    for 4 consecutive hours?"  It can also  perform a lethality
    analysis.  The GSNSR module is used to  transform a time series (A)
    to produce a new series (C) or to combine two time series (A+8) to
    create a  new one (C).  For example, this module is useful if one
    Hants to  compute the mass outflow of a  constituent from the flow
    and concentration.
(INP)  Input  to model:  Data requirements to run HSPF can be quite
    extensive and depend on the state variables selected for
    simulation.  Tables 1 and 2 (attached)  list the time series and
    parameter inputs possible for HSPF.  As a minimum, precipitation
    and evapotranspiration records are required for simulations. Many
    parameters can be defaulted but defaults are not provided for  the
    more sensitive, site-specific parameters.
(GOT)  Output of model: System output can be obtained at several
    levels, from a detailed printout of system state variables and
    parameter values at every time step to  yearly summaries.  Printout
    formats compatible with output interval are provided.  An interface
    file for  plotters is provided and a stand-alone program for CALCQMP
    plotters  is available.
(CSR)  Computational System Requirements: HSPF requires a Fortran
    compiler  that supports direct access I/O.  Twelve (12) external
    files are required.  The system requires 128K bytes of instruction
    and data  storage on virtual memory machines, or about 250K with
    extensive overlaying on overlay-type machines. The system was
    developed on a Hewlett-Packard 3000 minicomputer and has been  used
    on IBM 370 series computes.  It has also been installed on DEC/VAX,
    PP.IJ'E and HARRIS minicomputers/as well  as Burroughs CDC, and ONIVAC
    mainframes. Because of its comprehensive nature, HSPF requires
    individuals with several different backgrounds to implement It.  As
    a icinimum, an implementation team should consist of a systems
    programmer, a hydrologist, and a water  quality expert. Manpower
    requirements for data preparation and output interpretation Hill
    vary with the system being modeled but  are likely to be extensive*
(APP)  Applications of model: Although HSPF is a relatively neu
    product,  having been publieally released by EPA in April 1980, it
    has undergone some testing through applications to inhouse projects
    by the developer (Hydrocomp, Inc.).  It has also been used in
    projects  sponsored by SPA.  Some of these applications are
    described be low. In a 208 study, a prototype of the HSPF system was
    applied to the Qccoquan River Basin by  the Northern Virginia
    Planning  District Commission.  The Dccoquan Basin Computer Model
    consists  of 15 sub-basins (39 mi(2) average) linked by a network
    consisting of 12 stream channels and 3  reservoirs and was based on
    a linkage of the UPS model and HSP.  Considerable effort went  into
    data collection to calibrate the runoff and stream quality models,


                             1420

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                             Accession  No.   16404000111     (cont)

    resulting  in one of  the  better  general  nonpoint  source  data  bases-
    The model  was used to project  long-terra receiving  water quality
    impacts of existing  and  future  (year  2005)  land  use  patterns and  to
    compare the benefits of  alternataive  "best  management practice"
    (BMP)  levels.  The HSPF  software  was  tested largely  using  the
    simulations of the Occoguan basin as  a  reference.  One of the early
    applications of HSPF was in a  hydropouer study for the  Dominican
    Republic.   Hydropower is a major  source of  electricity  in  this
    developing country/  which Is experiencing an 11% annual Increase  in
    demand. Twenty potential hydropouer  sites  uere  identified and 10
    potential  network configurations  were hypothesized.  The analysis
    procedure  consisted  of the generation of 99 years  of synthetic
    hourly precipitation, calculation of  land surface  runoff,  and
    calculation of natural streamfloM at  21 sites.   Power generation
    »as simulated by routing the streanflou through  the  10  different
    hydropower configurations.  The time  series for  depth of flow
    (head) and flow rate were then  analyzed using the  GESER module to
    estimate the most efficient configuration.  Another water resources
    study  using HSPF has been conducted in  the  Clinton River Basin,
    Michigan.   The purpose of the  study was to  evaluate  a proposed
    Corps  of Engineers floodway, estimate the Impact of  developing wet
    lands, investigate better lake  operating procedures, and simulate
    the effect of retention  ponds*   The basin is located north of
    Detroit and lies in Macomb and  Oakland  counties.  It is largely
    urban  in the south and agricultural in  the  north.  The  HSPF  network
    consisted  of four land segments for each of nine rain gages  and 128
    channel reaches in six sub-basins.  The model was  calibrated on a
    ten year record (1965-1975).  Simulated annual peak  flows  uere then
    compared with 14 USGS stream gages  for  the  period  1927-1975* The
    longer time period was then used  to evaluate uater resource
    management options.  EPA  has applied,  through a contractor, HSPF
    merged with the Chemical Migration  and  Risk Assessment  (CMRA)
    methodology to demonstrate its  application  as a  planning tool for
    the evaluation of agricultural  BMP's.  This demonstration  is being
    done at two scales—the  20<2>mi(2)  Four Mile Creek watershed in
    east central Iowa and the 1200  rai(2)  loua River  Basin above
    Coralville Reservoir. The small  scale  demonstration serves  as a
    calibration site for scale-up  to  the  larger basin. A BMP
    implementation scenario  has been  investigated relative  to  its
    impact on  water quality. Schemes  aimed  at receiving  water  quality
    targets for pesticides,  phosphorus, and nitrates were simulated.
    HSPF has been used by the State of  Nebraska to investigate the
    effect of  groundwater pumping  for agriculture in the Big Blue
    Basin.  The University of Nebraska  has  used the  system  as  a  data
    management tool for  the  Dee Creek Research  Watershed. A project
    sponsored  through the University  of North Dakota used HSPF to
    Investigate the effect on wildlife  habitat  of proposed  lake
    drainage in the basin of the Red  River  of the North. The  current
    (July  1961) release  of HSPF is  designated Version  7. Another
    release Is anticipated in late  1983.
Disc Storage


                             1421

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                             Accession No.   16404000111    (cont)

    12 files >Printer any model jCard reader/punch
(LNG)  Computational system requirements -  LanguageCs)  used; FORTRAN
CQSK)  Computational system requirements: Operator Knouledge/Skills: Pro
    gramming ^Engineering
(IfTP)  Water Models - Type of models  Hater  quality
    Water run-off
(ENV)  Snvironwent(s) to which model  applies:  Lake jStream/river
    ;Non-point Urban and non-urban
(COM)  Processes and constituents included  in  model: Dissolved oxygen
    ?Entrophication ^Erosion and sediment ; toxic Chemicals jSalinity
    fTeoperature ^Hydrology ^Quality  processes
(CPL)  Complexity levsl of model: transient mass balance ?one
    dimensional
(REF)  References - Osar manuals, documentation,, etc.;
    J. C. Irahoff, J» L. Kittle, A» S. Donigian, R. C, Johanson, 1981
    Users 'Manual For Hydrologlcal Simulation  Program - FORTRAN (HSPF)
    Release 7.0.  Draft Report/ Environmental  Research Laboratory*
    Athens, GA., 30613$ Donigian, A.S., Jr./. J.L. Baker, D.A. Haith,
    and M.F. Halter. 1930.  HSPF Parameter  Adjustments  to Evaluate the
    Effects of Agricultural Best Management Practices.   Draft Report.
    U.S. Environmental Protection Agency, Athens, GA. 30613$ Donigian,
    A.S., Jr., J.C. Isnhoff, and B.R.  Bicknell.  1981. Modeling Water
    Quality and the Effects of Agricultural Best Management Practices
    in Four Mile Creek, Io»a.  U.S. Environ mental Protection Agency,
    Athens, GA.t Hydrocorap, Inc. 1980.  Analysis of Power Generating
    Configurations in the Rio Yaque del Horte  Watershed.  Mountain
    View CA«§ Irahoff, J.C., B.R. Bickneil, and A.S» Donigian, Jr.
    1981. Preliminary  Application of HSPF  to  the Iowa River Basin to
    Node! Mater Quality and the Effects of  Agricultural Best Management
    Practices,  U.S. Environmental Protection  Agency, Athens, GA«#
    Donigian, A.S., J.C» Inhoff, B.R. Bickneil, J.L. Kittle, Guide to
    the Application of the Hydrological Simulation Program - FORTRAN
    (HSPF) 1982 Draft Report, Environmental Research Laboratory,
    Athens, GA. 30613f Gilbert, D.P.  Development of State Water Quality
    Management Plan for the State of  Nebraska  1982.  Mater Resources
    Center, University of Nebraska -  Lincoln,  Nebraska 68583$ Johanson,
    R. C., J. C. Imhoff, and H. H. Davis.#  1980.  User's Manual for the
    Hydrologic Simulation program—
    Fortran (HSPF).  EPA 600/9-80-015.  Environmental Research
    Laboratory, Athens, GA 30613.
    Barnaell, T. 0. and R. C. Johanson. 1980.   "HSPF:  A
    Comprehensive Package for Simulation of Watershed Hydrology
    and Water Quality."  Presented at:  Nonpoint Pollution
    Controls  Tools and Techniques for the  Future, Gettysburg,
    PA, June 1980.
    GriRsrud, G. P«, D. D. Franz, R.  C. Johanson, N. H. Crawford.
    1980.  Executive Summary for the  Hydrologic Simulation
    Program—Fortran (HSPF).  In Press.  Environmental  Research
    Laboratory, Athens, GA  30613.
    Anderson, E. A. 1968.  "Development and Testing of Sno» Pack
    Energy Balance Equations."  Water Resources Research,
    4(l):l9-37,


                             1422

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                         Accession No.  16404000111    (cont)

Crawford, N. H. and A. S. Donigian, Jr. 1973.  Pesticide
Transport and Runoff Xodel for Agricultural Lands*  EPA-
600/2-74-013.  Environmental Research Laboratory, Athens, GA
30613.
Crawford, N. H. and R. K. Lindsey. 1966.  Digital Simulation
in Hydrology:  Stanford Watershed Model I¥.  Stanford Untv.
Tech, Rep. Mo. 39, Stanford Univ./ Palo Alto/ CA*
Donigian, &.. S., Jr., D. C. Beyerlain, H. H, Davis, Jr.,
and N. H. Crawford, 1977.  Agricultural Runoff Management
(ARM) Model Version 115  Refinement and Testing*  £PA-
600/3-77-098.  Environmental Research Laboratory, Athens* GA
30613,
Donigian, A. S., Jr. and 8. H. Crawford. 1976.  Modeling
Pesticides and Nutrients on Agricultural Lands.  EPA-
600/2-76-043.  Environmental Research Laboratory, Athens, Gk
30613
Donigian, A. S., Jr. and N. H. Crawford. 1976.  Modeling
Nonpoint Pollution From The Land Surface.  EPA-600/3-76-083,
Environmental Research Laboratory, Athens, GA 30613.
Donigian, A. S., Jr. and N. H. Crawford. 1977.  Simulation of
Nutrient Loadings in Surface Runoff with the IPS Model.
SPA-600/3-77-065.  Environmental Research Laboratory, Athens,
GA 30613.
Donigian, A. S,, jr. and N. H» Crawford, 1979*  User's Manual
for the Monpoint Source (NFS) Model.  Unpublished Report*
Environmental Research Laboratory, Athens, GA 30613.
Donigian, 4. S., Jr. and H. H. Davis. 1978.  User's Manual
for Agricultural Runoff Management (ARM) Model.  EPI-
600/3-78-080.  Environmental Research Laboratory, Athens, GA
30613.  August 1978.
Hydrocomp, Inc* 1969.  Hydrocomp Simulation Programming!
Operations Manual, 2nd Edition, Hydroconp, Inc., Palo Alto,
CA.
Leythara, K. M. and R= C» Johanson. 1979.  Watershed Erosion
and Sediment Transport Model.  EPA~609/3~79-028«,  Environmental
Research Laboratory, Athens, GA 30613.
Megev, M. 1967.  A Sediment Model on a Digital Computer*.
Stanford Univ. Tech* Rep. Ho* 76,  Stanford Univ«, Palo Alto,
CA, 1967.
TABLE 1
INPUTS FOR H¥DRQLOS¥ AND HYDRAULICS
SECTIONS OF HSPF
TIME SERIES INPUTS
air temperature(I)
precipitation
dewpoint temperature(1)
wind raoveraent(l)
solar radiation(l)
potential evapotranspiration
channel inflows not simulated
channel diversions
surface lateral iufloa to
                         1423

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                         Accession No.   16404000111    (cont)
       land segment(2)
interflow lateral inflow to
       land segjaent(2)
groundwater lateral inflow
       to land segment{2)
(l)Meeded only if snow
module is used^ or for
water quality modules*
(2)These inputs are optional.
I.£ entire watershed is
modeled^ these can usually
be assumed to be zero.
CONSTANT PARAMETER INPUTS
Interception storage (maximum value)
Nominal upper zone soil moisture storage
Nominal lower zone soil raositure storage
Infiltration index
Interflow index
Areal cover of deep-rooted vegetation
Seepage to deep (or inactive) groundnater
Evaporation from groundaater within reach of
       vegetation
Length of overland flo« (feet)
Overland floa slope
Manning's "KM for overland flow (constant or
       monthly)
Daily interflow recession rate
Dally ground«ater recession variable rate
Exponent of the infiltration curve equation
Actual upper zone soil mositure storage at
       start
Actual lower zone soil moisture storage
Groundwater storage volume
Groundwater slope parameter
Surface detention storage
Interflow detention storage
Interception storage volume
Convection-condensation melt parameter
Snow correction factor
Elevation difference in thousands of feet
Index density of new snow
Forest cover index
Daily ground melt
Hater content of snow at saturation
       (fraction)
Water equivalent of snow-pack for complete
       area! coverage
Channel geometry
Stage discharge relationships
Channel slope
Ratio of max and mean velocities in channels
Retention (interception) storage capacity of
                         1424

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                         Accession No.   16404000111     (cont)

       impervious surface (constant or  monthly)
TABLE 2
INPUTS TO WATER QUALITY
SECTIONS OF HSPF
LAND SEDIMENT
Supporting management practice factor - constant
Soil Detachment coefficient and exponent - constants
Rate of soil re-attachment - constant
Land surface cover - constant or monthly
Sediment influx from atmosphere - constant or monthly
Detached sediment uashoff coefficient and exponent - constant
Matrix soil scour coefficient and exponent - constant
Lateral input of sediment to segment surface - time  series
       (optional)
SOIL TEMPERATURE
Slope and intercept of land surface temp to air  temp
       equation - constants
Smoothing factors in temperature calculations -  constants
Air temperature - time series
DISSOLVED GAS IN LAND WATERS
Ground elevation - constant
Interflow and Groundwater concentration of DO -  constant or
       monthly
Interflow and Groundwater concentration of C0<2> - constant
       or monthly
QUALITY CONSTITUENTS ASSOCIATED WITH SEDIMENT
Washoff potency factor (each constituent) - constant or
       monthly
Scour potency factor (each constituent) - constant or  monthly
QUALITY CONSTITUENTS IH INTERFLOW AHD GROUNDHATER
Concentration of const* in Interflow -  constant  or monthly
Concentration of const, in Groundwater  - constant or monthly
AGFICHEMICAL QUALITY CONSTITUENTS
Solute leaching factors (each soil layer) - constant
Soil layer depths (each of four layers) - constant
Soil bulk densities for each layer - constant
Temperature correction parameter for pesticide decay - constant
Pesticide solubility - constant
Pesticide adsorption - desorption parameters - constant
Pesticide degradation rates (each layer) - constant
nitrogen plant uptake rates (each layer) - constant  or monthly
Fraction of plant uptake from N0<3> and NH<4> -  constant
Temperature correction coefficients for various  nitrogen
       reactions - constant
Ammonium desorption rate (each layer) - constant
Ammonium adsorption rate (each layer) - constant
Nitrate immobilization rate (each layer) - constant
Organic N ammonification rate (each layer) - constant
Denitrification rate (each layer) - constant
Nitrification rate (each layer) - constant
Ammonium immobilization rate (each layer) - constant
Max, solubility of ammonium - constant
                         1425

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                         Accession Mo.   16404000111     (cont)

Nitrogen adsorption-desorption parameters (each layer)  -
       constant
Phosphorus plant uptake rates (each layer)  - constant or
       monthly
Temperature correction coefficients for various phosphorus
       reactions - constant
phosphate desorption parameters (each layer) - constant
Phosphate adsorption parameters (each layer) - constant
Phosphate immobilization rate (each layer)  - constant
Organic P mineralization (each layer) -constant
Max. solubility of phosphate (each layer) - constant
IMPERVIOUS LAND WATER QUALITY
Solids washoff coefficient and exponent - constant
Rate of solids placement on surface - constant or monthly
Rate of solids removal on surface - constant or monthly
Ground elevation - constant
Air temperature to surface water temp,  recession constants  -
       constant or monthly
Sediment borne pollutant washoff potency factor (each const*)  -
       constant or monthly
Overland flow borne pollutant accumulation rate (each const.)  -
       constant or monthly
Overland flow borne pollutant max. storage (each const.)  -
       constant or monthly
Surface runoff removal rate (each const.) - constant or monthly
Lateral Input of sediment to segment surface - time  series
       (optional)
REACH AND RESERVOIR MATER QUALITY
Solar radiation correction factor - constant
Longwave radiation coefficient - constant
Conduction convection heat transport coefficient - constant
Evaporation coefficient - constant
Hashload material sinking rate - constant
Sandload suspension coefficient and exponent - constants
Sediment density and stream bed porosity-constant.  Critical
bed shear stress for scour and deposition-constant.   Hydrolysis/
oxidation, photolysis, volatilization,  biogradation, and
adsorption/desorption parameters-constant.
BOD benthic release characteristics and rates - constants
BOD decay rate and temperature correction - constants
BOD settling rate - constant
Allowable level of DO supersaturation - constant
Benthal oxygen deaand rate - constant
Benthal release of BOD - constant
Reaeration characteristics and coefficients - constants
Content of carbon, oxygen, nitrogen and phosphorus in biomass  -
       constants
Nitrogen and phosphorus benthic release rates - constants
Oxidation rates of ammonia and nitrite - constants
Chlorophyll "A" content of biomass - constant
Fraction of algae and zooplankton biomass - constant
Light extinction coefficients - constants


                         1426

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                             Accession  No.   16404000111     (cont)

    Maximal algal groth rate -  constant
    Constants for light/  nitrogen  and phosphorus  United growth -
           constants
    Temperature thresholds for  algal  growth  retardation - constants
    Algal respiration rate - constant
    High and low algal death rate  - constant
    Phytoplankton death rate due to anaerobic  conditions -  constant
    Lower thresholds of nitrogen and  phosphorus concentrations
           below which high algal  death occurs -  constants
    Advective characteristics of plankton -  constants
    Threshold of chlorophyll "A" concentration above which  high
           algal death occurs - constant
    Phytoplankton settling rate -  constant
    Dead refractory organics settling rate - constant
    Maximum zooplankton ingestion  rate  - constant
    Zooplankton filtering rate  - constant
    Zooplankton respiration rate - constant
    Natural zooplankton death rate -  constant
    Increment of zooplankton death rate due  to anaerobic conditions -
           constant
    Average weight of zooplankton  organism - constant
    Maximum benthie algae density
    Ratios of benthic algal to  Phytoplankton respiration and
           growth rates - constant
    C0<2> invasion rate at water surface - constant
    Benthal release of C0<2> -  constant
    Meteorological time series  listed in inputs for hydrology -
           time series
    inflow concentrations of all simulated constituents - time series
(CNM)  Contact name(s): Barnwell,T.O,
(COR)  Contact organization: EPA Athens Environmental  Research
    Laboratory 30613    Ph: (4
(ROR)  Responsible Organization: office of Research and
    Development,Office of Environmental Processes and  Effects
    Research.Environmental Research Laboratory.
                             1427

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                             Accession No.   16404000114

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Hame of Data Base of Model:  Simplified Stream Model
(ACR)  Acronym of Data Base or Model:  SSM
(MED)  Wedia/Sub^ect of Data Base or Models  Water

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                             Accession No.   16404000114    Ccont)

    mathematical skill of the personnel Involved*   For manpower needs
    an engineer (junior level) or engineering aid with  a mathematical
    orientation is required*   No programming experience is  necessary.
(APP)  Applications of model: SSM can be applied to rivers, streams,
    and shallow/  non-stratified lakes for the evaluation of
    conservatives/ non-conservatives with first-order decay,?  and
    coupled BOD-DO deficits.  TECHNICAL CONTACT: Robert  B. Ambrose  U.S.
    Environmental Protection  Agency Environmental Research  Laboratory
    College Station Road Athens, Georgia 30605 FTS  250-3546 COM
    404/546-3546
(HDH)  Computational system requirements -  Hardware: Calculator
(OSK)  Computational system requirements: Operator  Knowledge/Skills: Eng
    ineering
(WTP)  feater Models - Type of model: Water  quality
(ENV)  Environment(s) to uhich model applies: Stream/river
(CON)  Processes  and constituents included in model: Dissolved oxygen,
    biochemical oxygen demand ;Salinlty, conse
(CPL)  Complexity level of model: steady state mass balance ^Simplified
(REF)  References - User manuals/ documentation, etc.:
    Hydroscience, inc. "Simplified Mathematical
    Modeling of Mater Quality."  Report to Office of Mater
    Programs, U.S. Environmental Protection Agency, Washington,
    D.C. (U.S.  Government Printing Office No. 1971-444-367/392),
    1971.
    Hydroscience/ Inc. "Addendum to Simplified Mathematical
    Modeling of Water Quality."  Report to Office of Water
    Programs/ U.S. Environmental Protection Agency, Washington,
    O.C. (U.S.  Government Printing Office No. 1972-484-486/291),
    1972.
(CNM)  Contact  name(s): Ambrose,R.B.
(COR)  Contact  organization:  U.S. EPA, ORD  Environmental Research  Lab
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects
    Research.Environmental Research Laboratory.
                             1429

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                             Accession Mo.  16404000115

(DQ)  Date of Questionalre: 12«02~82
CMAM)  Same of Data Base of Models Simplified Estuary Kcdel
CACR)  Acronym of Data Base or Models SEM

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                             Accession No.   16404000115    (cont)

    deficit,  and minimum DO concentrations.

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                             Accession Mo.   16404000116


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                             Accession No.   16404000116    (cont)

    adsorbed ammonia in runoff/  Load of dissolved ammonia in runoff,
    Loa
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                             Accession No.   16404000116    (cont)

    transformations.  Nitrogen and phosphorus parameters that define
    reaction rates and nutrient storage.  Chloride storage parameter.
(OUT)  Output of model: Outputs produced  by the model include an echo
    of the input data set*  the concentration on pestldes and nutrients
    in the soil and runoff, and loads of  nutrients, pesticides,  and
    sediment in runoff.  Nutrient concentrations are reported in terms
    of the various forms present in the cycle.   For both pesticides and
    nutrients, concentrations and loads for dissolved and suspended
    materials are reported  separately.  Some selection in available as
    to the frequency  of printout.  Monthly  and  yearly summaries  for
    loads are also provided.
CCSR)  Computational  System Requirements: On the IBM 370/168, using the
    FORTRAN H compiler, the program requires approximately 360K  bytes
    (90,000 words) of storage for compilation of the largest
    subroutine.  Program execution requires up  to 230K bytes (57,500
    words) of storage depending on the model operation selected,  thus,
    a computer with relatively large storage capability is usually
    needed for use of the ARH model,  However,  Version II of the ARM
    model has been adapted  and run on a Hewlett-Packard 3000 Series II
    computer, which is substantially smaller than the IBM machines.
    Thus, the model can be  used on relatively small computers! the
    effort and model  changes needed to adapt the ARH model to other
    computers will depend on the specific computer installation. The
    !U?w model requires no special external  storage devices (tape,  disc,
    etc.) other than  the standard card reader Input and line printer
    output   However, the model includes  an option to output simulated
    runoff and sediment values to an external storage device as
    unformatted FORTRAN records.
(JLPP)  Applications of model: ARM II has  been used by the U.S.
    Environmental Protection Agency to evaluate potential runoff of a
    pesticde from agricultural lands.  Application of ARM includes
    evaluation of best management practices for agricultural lands in
    relation to basin planning.  It can also be used to evaluate
    pesticide loading in relation to registration of pesticides.
    TECHNICAL CONTACTS Lee  A. Mulkey Environmental Research Laboratory
    U.S« Environmental Protection Agency  College Station Road Athens,
    Georgia  30605 FfS  250-3581  COM  404/546-3581
(HDte)  Computational  system requirements -  Hardware: Mainframe IBM
    370/168 or Hewlett-Packard HP 3000 Series II ; Card reader/punch
(LUG)  Computational  system requirements -  Language(s) used! Fortran
       Kater Models - Type of model: Hater  run-off
       EnvironmentCs) to which model applies: Non-point non-urban
(COM)  Processes and  constituents included  in models Sutrophication
    ^Erosion and sediment jToxic chemicals  jHydro
CCPL)  Complexity level of model: transient mass balance ;multi
    dimensional
 fi£F)  References - User manuals, documentation, etc.s
    Crawford, ». H» and A,  S. Donigian, Jr., "Pesticide
    Transport and Runoff Model for Agricultural Lands.81  Office  of
    Research and Development, U.S. Environmental Protection Agency,
    Washington, DC, EPA-66Q/2-74-013, 1973.
    Donigian, A. S.,  Jr. and N. H, Crawford "Modeling Pesticides


                             1434

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                             Accession No.   16404000116    (cont)

    and Nutrients on Agricultural Lands*11  Environmental Research
    Laboratory/ U.S. Environmental Protection Agency/ Athens.
    Georgia, EPA-600/2-76-043/ 1976,
    Donigian/ A. S., Jr./ 0. C. Beyerlein/  H. H.  Davis, Jr./
    and N.  H. Crawford.  "Agricultural Runoff Management (ARM)
    Model - Version II/ Refinement and Testing.**   Environmental
    Research Laboratory/ U.S. Environmental Protection Agency/
    Athens, Georgia/ EPA-600/3-77-098/ 1977.
    Donigian/ A* S. Jr./ and H. H. Davis/ Jr.  "Agricultural
    Runoff Management (ARM) Model User's Manual:   Versions I
    and II."  Environmental Research Laboratory/  U.S. Environmental
    Protection Agency/ Athens/ Georgia/ EPA-600/3-78-080/ 1978.
(CNM)  Contact name(s): Mulkey/L.A.
(COR)  Contact organization: U.S. EPA/ Office Research and Development/
    Environmental Res
(ROR)  Responsible Organization: Office of  Research and
    Development. Office of Environmental Processes and Effects
    Research.Environmental Research Laboratory.
                             1435

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                             Accession 80.  16404000117

(Dwi  Date of Questionaire; 12-02-82
(HAH)  Kane of Data Base of Models Nonpoint Source Pollutant Loading
    Model
(ACR)  Acronym of Data Base or Modeii iPS
(MED)  Media/Subject of Data Base or Modeii Mater
(IBS)  Abstract/Overview of Data Base or Model! the Monpo.int Source
    Pollutant Loading (SPS) Model Is a continuous simulation model
    which estimates the movement of pollutants on land surfaces,   the
    model can be used to study pollutants that are conserved or Hhich
    degrade slowly.  The UPS model is one of a series^ including the
    Agricultural Runoff Management Model (ARM) and the Pesticide
    Transport and Runoff Model (PTR)# uhich are based on the Stanford
    Watershed Model.  The reodel was initially tested on three
    predominantly urban sites and has been used In relation to planning
    required under Section 208 of Public La^ 92~SOO« The model is
    recommended for use to estimate nonpoint source pollutant loads in
    urban and rural areas.  Applications are primarily aaste allocation
    in relation to basin planning*, UPS aas developed by Hydroconp*
    Incorporated, for the U.S. Environmental Protection Agency.
(CTC)  CONTACTS: Lee A. Mulkey  U.S.EPA* Office Research and
    Development,
    Environmental Research Laboratory-Athens
    Locs College Station Road, Athens*. GA  30605     Ph: (404)546-3581

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                             Accession No.   16404000117     (cont)

    The overall model is based on the  Stanford Watershed Model.  Water
    transported out of the watershed is assumed to be drawn from every
    portion of the watershed.  Consequently,  water and chemical
    constituents in runoff cannot be identified with  any particular
    location within the watershed.  The water  balance  calculations
    assumes that there are five water  storage zones/  namely,
    interception storage, upper zone storage, lower *one storage,
    active ground-water storage, and inactive ground-water  storage*
    During a storn event, rainfall is  partitioned between these
    storages and also exported from the watershed by  overland  flow,
    interflow and baseflow.  Between storm  events, export continues
    along with transfers between compartments.  In addition,  water is
    lost by evapotranspiratlon.  Snow accumulation and melt is also
    modeled. The rates of water export and  intercompartment transfers
    are governed by empirical equations which contain constants
    requiring calibration for each application of the model*  Where
    possible, guidance has been provided to show reasonable parameter
    estimates in various parts of the country. Calibration requires
    simultaneous rainfall and runoff records. Sediment loss from
    pervious are modeled in identical  fashion as the  ARM Version I
    model.  Two processes are described: detachment of fines  and
    transport of fines.  For impervious surfaces, sediment participate
    accumulates and is removed according to impirieal equations  during
    dry weather periods. During storms, transport of  sediment  particles
    are defined by the same relationship as for sediment fines from
    pervious surfaces. Conservative constituent transport is  assumed to
    move at a rate proportional to the rate of movement  of sediment.
(INP)  Input to model: Input parameter list include the  following: A
    set of control parameter values that defines frequency of  printing
    of output, dates of simulation and whether snowraelt  calculations
    are to be performed. A set of hydrology parameter values  that
    specify the nominal capacity of the storage zone  and specific rates
    of hater transport between zones and the rates of export  of  water
    by runoff and evapotranspiratlon.  A set of parameter values  that
    define show pack characteristics.  A set of parameter values  that
    define sediment transport characteristics. A set  of  parameters that
    defines land use characteristics and for impervious  surfaces,
    sediment accumulation, and removal rates during dry  weather
    periods. Precipitation date for period  of simulation.
(OUT)  Output of model: Outputs commonly displayed are hydrographs for
    each storm as well as base flow projected for dry weather  periods,
    sediment loads and concentrations as a  function of tine,  pollutant
    loads and concentrations as a function  of time, dissolved  oxygen
    concentration and temperature as a function of time*  An echo of
    the input data set is also printed along with storm, monthly, and
    annual summaries of the output data sets.
(CSR)  Computational System Requirements: As abstracted  from the report
    documenting the NPS model, system resource requirements are  as
    follows.  The NPS Model is written in the IBM FORTRAN IV  language.
    The "handy minimal language" concept was adopted  to  the extent
    possible to produce a reasonably compatible computer code  for at
    least the following computer systems: IBM 360, UJSIVAC 1108,  CDC


                             1437

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                             Accession No.   16404000117    (cont)

    6000, and Honeywell Series 32. However, at the present time,  model
    operation has been limited to the IBM systems.  The NFS model
    operates most efficiently In a two-step procedure*   The first  step
    involves the compilation of the program and the storage of the
    compiled version on disk or magnetic tape.  In the  second step, the
    complied model is provided the necessary input data and is
    executed.  Thus, the model can operate  a number of  types of
    different input data with a single compilation.
(APP)  Applications of model: NPS has been  applied to snail urban
    watersheds in Durham, North Carolina! Madison, Wisconsin; and
    Seattle, Washington.  It is also being  used in conjunction with
    implementation of several 208 plans, including the  plan being
    developed by the Northern Virginia Planning Commission* TECHNICAL
    CONTACT: Lee A. Mulkey Environmental Research Laboratory U.S.
    Environmental Protection Agency College Station Road Athens,
    Georgia  30605 FTS  250-3581  COM  404/546-3581
(HDM)  Computational system requirements -  Hardware: Mainframe IBM 360
    Univac 1108, CDC 6000 and/or Honeyveil, Se II
(LNG)  Computational system requirements -  Language(s)  used: Fortran
(MtP)  Mater Models - Type of model: Water  run-off
CEKV)  Environment(s) to thich model applies:  Non-point urban and
    nonurban
(CON)  Processes and constituents included  in model: Dissolved oxygen
    jEutrophication ^Erosion and sediment |Hydr

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                             Accession Wo,   16404000118


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                             Accession No.   16404000118    (cont)

    independent name list editor that enables the user  to list and  make
    changes in parameter values while running the model;  to plot
    state-variables concentrations/ rates for various processes/ and
    loadings to the model; and to transform the state*  variable values
    into "environmental perception" characteristics such  as turbidity/
    fish catch/ or concentrations of noxious algae. Multiple segments
    can be simulated/ each having different physical-chemical and
    biotic characteristics.  Movement of materials across the
    boundaries of the segments is specified by a linking  language*   The
    movement can either be intersegmental or be treated as a loss  from
    the system/ as specified by the user. The loadings  of nutrients/
    temperature/ and light can be perturbed using the editing
    capability of Ms.CLEARNER to set at the perturbation  parameters.
    The perturbations can be either additive or multiplicative/ and
    either constant or as a pulse of user-specified duration and
    timing. An algorithm has been developed to facilitate analysis  of
    the sensitivity of MS.CLEANER to changes in values  of parameters
    and driving variables*  Using a random number generator/ values
    with a normal or uniform distribution are used to vary loadings or
    parameters within a specified range.  The simulation  is repeated a
    given number of times with different perturbations/ and the results
    are summarized.  The parameters are perturbed at the  beginning  of
    each simulation; the loadings are perturbed at each step. The  model
    is coded in FORTRAN IV and is virtually machine independent.
(ASH)  Basic assumptions of model: The realism of MS.CLEANER is
    achieved by disaggregation of state-variables and by  use of
    detailed process equations.  Adaptive constructs are  used for  light
    and temperature response in phytoplankton.  These constructs have
    permitted application to a wide range of lakes without changing
    parameters. Unlike most ecosystem models/ MS.CLEANER  can treat
    phytoplankton growth as a function of stored nutrients.  This
    uncoupling of growth and external nutrient concentrations has
    resulted in more realistic simulations with avoidance of the time
    lags between modeled and observed phytoplankton peaks that are  a
    persistent problem uith many models. Likewise/ process-level
    realism in simulating zooplankton has been achieved by recognizing
    variations in Bodes of food consumptions.  In some  zooplankton  the
    rate of consumption is independent of the concentration of food; in
    others a minimum food level is necessary before feeding will occur.
    The rate of consumption follows saturation kinetics.  In order  to
    use MS.CLEANER in studying bioaccuroulation of toxic substances/ the
    fish compartments have been disaggregated to represent age classes.
    At the time of promotion/ all/ or some fraction/ of the fish in one
    age class is transferred to the next age class at a rate that
    follows a normal distribution. The shedding of gonadal products
    (and associated pesticides) by adults Is handled in the same
    manner* By modeling decomposers explicitly/ more realistic
    simulations of decomposition have been obtained. This is
    particularly important In representing the differential degradation
    of different types of organic material (including oil spills)/  the
    cycling of nutrients/ and—through the production of  microbial
    bionass—formulation of a high-quality food source  for detritus


                             1440

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                             Accession No.   16404000118    (cont)

    feeding animals.  Phosphorus/  silicon,  carbon and soluble inorganic
    nitrogen are  the  only nutrients that can be limiting.   The
    temperature,  nutrient/  and biomass are considered to be uniformly
    distributed in a  segment.
(INP)  Input to model:  The data required to calibrate and  use the  model
    fall into several categories:  Driving  Variables - a tine-series of
    data for the  period of the simulation  (which rcay be from a few days
    to years)/ including Hater temperature/ incident radiation/
    loadings of dissolved and particulates, organic matter/ biomass^
    and nutrients, site Constants - average water depth and light
    extinction coefficient. Initial Conditions - for all variables.
    Parameter Values  - a default  set of values for the extensive
    parameter list IT,ay be used or values that are known may be input.
    Calibration Data  - observed values for some state variables are
    necessary to  fine-tune the model.  Pertubations and Sensitivity
    Analysis - sensitivity to changes in parameters and driving
    variables may be  examined using a built-in algorithm.  All of the
    input data and parameter values used can be output as  well as  the
    state variables simulated.  A plotting routine is available.
(CSR)  Computational  System Requirements:  MS.CLEANER requires
    approximately 250K bytes of core/  which may be reduced to about
    145K bytes using  an overlay structure.  Ten files are  required for
    operation of  the  program/ plus an additional number of files equal
    to the number of  segments being simulated (up to 10 segments).
    Execution times depend on the complexity and length of the
    simulation.
(App)  Applications of model; The model has been calibrated and
    verified with data from a number of lakes of diverse types.  It was
    originally applied to Lake George/ Hew York.  Subsequent versions
    have been calibrated for Lock Leven/ Scotland; Slapy Reservoir/
    Czechoslovakia; Balaton Lake/ Hungary; Lakes d'Endine and Mergozzo/
    Italy; Lake Esrura/ Denmark; Lake Paijanne/ Finland; and DeGray
    Reservoir/ Arkansas.  A version that incorporates all  the latest
    improvements/ including storage of internal nutrients  in
    phytoplankton/ has been calibrated for subalpine Qvre  Heiradalsvatn/
    NorKay, and verified with data from Vorderer Finstertaler See/
    Austria/ without  changing parameter values.  Kith only minor
    changes/ it gives reasonable  results for Lake Mergozzo/ a
    mesotrophic/  stratified lake. TECHNICAL CONTACT: Mr. Thomas 0.
    Sarnviell, Jr. Environmental Research Laboratory U.S. Environmental
    Protection Agency College Station Road Athens/ Georgia  30605 FTS
    250-3175 COM  404/546-5175 Dr. Richard A. Park Center for Ecologic
    Modeling Renssselaer Polytechnic Institute Troy/ New York  12181
    COM  518/270-6494
(HDii)  Computational  system requirements - Hardware: Mainframe IBM/CDC
    ;Disc storage ten files ;Printer Any model
(LNG)  Computational system requirenents * Language(s) used: FORTRAN
(OSK)  Computational system requirements:  Operator Knowledge/Skills: Pro
    gramming ;Engineering ;3iology/ecology
(WTP)  Mater Models - Type of model: Mater quality
(ENV)  Environment(s) to which model applies: Lake
(CON)  Processes and constituents included in model: Dissolved oxygen


                             1441

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                             Accession Mo.  16404000118    (cont)

    ;Eutrophication ;Temperature ^Hydraulics }Q
(CPL)  Complexity level of models  transient mass balance ;nulti
    dimensional
(REF)  References - User manuals/  documentation, etc.:
    Bloomfield/ J. A.,  R. A. Park, 0. Scavia/ and
    D. S.  Zahorcak/ "Aquatic Modeling in the Eastern Deciduous
    Forest Biome/ U.S.  International Biological Program,"  In:
    Middlebrooks/ E. J,/ D. H.  Falkenborg/ and T. E. Maloney
    (Editors)/  Modeling the Eutrophication Process, Utah State
    University/ Logan/  Utah/ pp. 139-158/1973.
    Clesceri/  L.  S./ R. A* Park/ and J. A. Blooafield.   "General
    Model  of Microbial  Growth and Decomposition in Aquatic
    Ecosystems."  Appl. Environ. Microbiol., 33<5):1047-1058,
    1977,
    deCaprariis,  P./ R. A* Park/ R. Haimes/ J. Albanese/
    C. Collins/ C. Desormeau, T. Groden, D. Leung/ and 8. Youngberg.
    "Utility of the Complex Ecosystem Model MS.CLEANER"  In:
    Proceedings of the  International Conference on Cybernetics and
    Society/ pp.  87-B9/ 1977,
    Oesormeau/  C. J. "Mathematical Modeling of Phytoplankton
    Kinetics with Applications to Two Alpine Lakes."  Report #4/
    Center for Ecological Modeling/ Rensselaer Polytechnic
    Institute/  Troy,/ New York/  21  pp./ 1978.
    Groden/ T.  H. "Modeling Temperature and Light Adaptation of
    Phytoplankton."  Report §2, Center for Ecological Model/
    Rensselaer Polytechnic Institute/ Troy? New York/ 17 pp./
    1977.
    Leung/ D.  K.  "Modeling the Bloaccuroulation of Pesticides in
    Fish."  Report #5/  Center for  Ecological Model/ Rensselaer
    Polytechnic Institute/ Troy/ New York/ 18 pp./ 1978.
    Leung/ D.  R./ R. A. Park/ C. J. Desormeau/ and J. Albanese.
    "MS.CLEANER:   An Overview."  In:  Proceedings of Pittsburg
    Modeling and Simulation Conference, Pittsburg/ Pennsylvania/
    1978.
    Park/  R. A. "Theoretical Implications of Models of Aquatic
    Systems."   Presented at AAAS/  Biological Sciences Meeting/
    New York/  New York  1975.
    Park/  R. A. "A Model for Simulating Lake Ecosystems,"  Report
    #3, Center for Ecological Modeling/ Rensselaer Polytechnic
    Institute/  Troy/ New York/  19 pp./ 1978.
    Park/  R. A. "Predicting the Impact of Man on Lake Ecosystems."
    (Abstract)  in:  Biro/ P. (Editor)/ Human Effects on Life in
    Fresh  Water/  Hungarian Academy of Sciences/ Tihany/ Hungary/
    1977.
    Park/  R. A./  R. V.  O'Neil,  J.  A. Bloorofields H. H.  Shugart/ R.
    S. Booth/  R.  A. Goldstein/  J.  B, Mankin/ J. F. Koonce, 0.
    Scavia/ K.  S. Adams/ L« S.  Clesceri/ E. M. Colon/ E. H.
    Dettmann,  J.  Hoopes, D. D.  Huff/ S. Katz/ J. F. Kitchell/
    R. C.  Kohberger/ E. J. LaRow/  D. C. McSaught, J. Peterson/
    J. Titus/  P.  R. Heller/ J.  W.  Wilkinson/ and C. S.  Zahorcak.
    "A Generalized Model for Simulating Lake Ecosystems."
    Simulation/ 23 (2):  33-50/ 1974.


                             1442

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                             Accession So.   16404000118    (cont)

    Park, R. A., D. Scavia, and JJ. L. Clesceri.  "CLEANER, the Lake
    George Model."  In:  Russell, C.  S. (Editor), Ecological
    Modeling of a Resource Management Framework.  Resources for the
    Future, Inc., Washington, D. C. pp. 49-82, 1975.
    Park, R. A. T. W. Groden, and C.  J. Desormeau.  "Modifications
    to the Model CLEANER Requiring Further Research."  In:
    Scavia, D.  and A« Robertson (Editors),  Perspectives on Aquatic
    Ecosystem Modeling, Ann Arbor Science Publishers, Inc., 1978.
    Park, R. A., C. D. Collins, D. K. Leung, C. W. Boylen, J.
    Albanese, P. deCaprariis, and H.  Forstner,  "The Aquatic
    Ecosystem Model MS.CLEANER."  Center for Ecologic Modeling,
    Rensselaer  Polytechnic Institute, Troy, New York, 1978.
    Scavia, D., C. hu Boylen, R* B. Sheldon, and R. A. Park.
    "The Formulation of a Generalized Model for Simulating Aquatic
    Macrophyte  Production.1*  Fresh Water Institute Report #75-6,
    Rensselaer  Polytechnic Institute, froy, Me« York, 1975.
    Scavia, D.  and R. A. Park.  "Documentation of Selected Contructs
    and Parameter Values in the Aquatic Model CLEANER.11  Ecol.
    Mod., 2(1):  33-58, 1976.
    Yourgberg,  R. A. "Application of the Aquatic Model CLEANER to
    a Stratified Reservoir System."  Report #1, Center for
    Ecological  Modeling, Rensselaer Polytechnic Institute, Troy, New
    York, 22 pp., 1977.
(CUM)  Contact  narae(s): Barnwell,T.O.
(COR)  Contact  organization: U.S. EPA, Office Research and Development,
    Environmental Res
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Processes and Effects
    Research.Environmental Research Laboratory.
                             1443

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                             Accession No.   16404000119

(DQ)  Date of Questionaire:  12-02-82
(HAM)  Name of Data Base of  Model:  Explore-I
(ACR)  Acronym of Data Base  or Model:  EXPL08S-I
(MED)  swedia/subject of Data Base or Model:  Water
CABS)  Abstract/Overview of  Data Base or Model: EXPLORE-I  is a
    comprehensive mathematical Hater quality model to be used In river
    basin planning and water resource studies.   This generalized river
    basin water quality model can predict the hydrodynamics  and water
    quality dynamics for rivers and those well mixed estuaries where
    dispersion is negligible.  The EXPLORE-I model is an extended and
    modified version of the  Storm Hater Management Model,  receiving
    water component, which was developed for studies of DO/BOO
    dynamics. The model is capable of simulating a number  of hydraulic
    regimes in either a dynamic or steady state mode, and  it has been
    set up, calibrated, and  verified on a portion of the Willamette
    River Basin, consiting of major tributaries. EXPLORE-! was
    developed by Battelle-Sorthwest Laboratories for the EPA,
(CTC)  CONTACTS: Robert 8. Ambrose, Jr.   EPA,  Athens Environmental
    Research Center for Quality Modeling
    Loc: College Station Road, Athens, Georgia  30613     Ph: (404)
    546-3546
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-25-83
(CAP)  Functional capabilities of model: EXPLORE-I can be  used to study
    the effects of various flow conditions,  waste discharge  and/or
    treatment schemes on the water quality levels in the river basin.
    EXPLORE-I is capable of  simulating a number of hydraulic regimes in
    either a dynamic or steady state mode.  These are:  1)  streams and
    rivers, 2) shallow lakes, and
    3) estuaries or tidally  influenced rivers.   In addition,
    the behavior of the following water quality parameters can be
    studied: Carbonaceous Biochemical Demand (BOD) Nitrogenous BOD
    Benthic BOD Total Organic Carbon (TOC) Refractory Organic Carbon
    Sedimentary Phosphorous  Soluble Phosphorous Organic Phosphorous
    Ammonia Nitrogen Nitrite Nitrogen Nitrate Nitrogen Organic Nitrogen
    Toxic Compunds (dissolved only) Phytoplankton Zooplankton Dissolved
    Oxygen EXPLORS-I is composed of a river basin program  which is
    capable of modeling one-dimensional open channel flow  in streams
    and rivers, and the predominant lateral and longitudinal flow in
    shallow lakes and estuaries.  The program consists of  a  hydraulic
    code which calculates the required water velocities, depths, and
    flows, and a quality code which evaluates the quality  parameter
    reactions and routes the constituents through the system.  The
    model is capable of simulating diurnal or long-term periods, and it
    can handle constant and/or tirce-varying point or diffuse sources.
(ASH)  Basic assumptions of  model:  The overall nodel formulation is
    partitioned into two basic modules which can be operated
    sequentially: a hydrodynamics module and a mass transport and water
    quality submodels module.  The hydrodynamics module is formulated
    on conservation of mass  and momentum principles.  The  mass
    transport and water quality submodels module is formulated from the
    expressions for specie continuity, i.e., mass balance  of a


                             1444

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                             Accession No.   16404000119    
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                             Accession Ho.   16404000119    (cont)

(RED  References - User manuals, documentation, etc.;
    Thackston, £. L. and P. A. Krenke.  "Reaeration
    Predictions in Natural Streams."  ASCE, Proc. Journal of
    the Sanitary Engineering Division* Vol. 95, So. SAI, Paper
    6407, pp. 65-94, February 1969.
    Feigner, K. D. and H. S. Harris.  "Documentation Report:
    FMQA Dynamic Estuary Model.*1  0,S, Department of the Interior,
    Federal Water Quality Administration, July 1970.
    Callaway, R. J./ K. V. Byram and G. R.  Ditsuorth.  "Mathematical
    Model of the Columbia Fiver from the Pacific Ocean to Bonneville
    Dam •? Part I."  Federal Water Pollution Control Administration,
    Pacific Northwest Mater Laboratory, pp. 155, November 1969.
    Metcalf 5. Eddy, Inc.  "Storm Water Management Model."  Vol.
    1-4.  Palo Alto/ California; University of Florida, Gainesville,
    Florida; and Water Resources Engineers, Inc. halnut Creek,
    California.
(CUM)  Contact name(s)I Ambrose,R.B.

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                             Accession No.   16404000120

(DQ)   Date of Questionaire:  12-02-82
(SAM)  Name of Data Base of  Model:  Dynamic  Estuary Model
(ACR)  Acronym of Data Base  or Model:  DEM
(MED)  Media/Subject of Data Base or Model: Mater
(ASS)  Abstract/overview of  Data Base or Model:  The DSM  Is a "real
    time" link-node model that simulates the unsteady tidal flow and
    dispersive characteristics of an estuary.  The model can be applied
    to estuaries in which vertical  stratification is either absent  or
    limited to relatively small areas.  It  can accommodate both
    conservative and non- conservative constituents.  Constituents
    which have been modeled  include salinity, tracer dye, dissolved
    solids, DO, BOD, total nitrogen, temperature, organic nitrogen,
    ammonia, nitrite, nitrate, phosphates,  chlorophyll a, and coliform
    bacteria.  Given the necessary  kinetics and rates, the model could
    also treat parameters such as pesticides, heavy metals, and organic
    compounds.  The DEM is often linked to  the Tidal Temperature Model
    (TTM) for heat budgets.   Ecological processes such as algal
    dynamics, nutrient transport, sediment  oxygen demand, coliform
    die-off, and first order kinetics have  been expressed in the model*
    Higher order kinetics are available on  some versions.
(CTC)  CONTACTS: Robert a. Ambrose   EPA Athens Environmental Research
    Labor Loc: College Station Road, Athens, GA 30613 Ph! (404) 546-3546
(STA)  Data Base status: Operational/Ongoing
(DF)   Date of form completion: 01-25-83
(CAP)  Functional capabilities of model: The DEM represents the
    predominant lateral and  longitudinal tidal flow pattern, basic
    transport processes (advection and dispersion), and the accretion
    or depletion of pollutants within an estuary (provided that
    vertical stratification  is either absent or insignificant).  The
    estuary is represented by a network of  channels (or links) and
    Junctions (or nodes). A channel is viewed as a flow conduit with a
    length, width, time varying depth, time varying velocity, time
    varying cross-sectional  area, and frictional resistance associated
    with it.  A function acts as a well-mixed receptable for mass and
    volume.  It is described by a constant  surface area, time varying
    head, and time varying volume.  The DEM  is composed of two separate,
    but interrelated components. The first  component is a hydraulic
    model which uses a step- forward explicit finite difference scheme
    to solve the equations of motion and continuity for channels and
    junctions, respectively.  The result is a "dynamic steady-state"
    solution of the hydrodynamic behavior of the estuary applicable to
    a specific set of flow inputs and boundary tidal conditions. Some
    versions allow varying flow inputs and  boundary tidal conditions,
    resulting in a fully dynamic hydrodynamic solution. The second
    component, a quality model, is closely  tied to the hydraulic model.
    The quality model and the hydraulic model are referenced to the
    same network of channels and junctions. The tidally fluctuating
    velocities, flows, and heads predicted  by the hydraulic model are
    stored on tape or disk and are the basis of the hydraulic inputs to
    the quality program. Constituents in the quality program are
    subject to the processes of advection,  dispersion (including both
    eddy diffusion and dispersion due to density currents), biological


                             1447

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                             Accession No*   16404000120    (cent)

    and/or chemical decay, transfer between water and the atmosphere,
    and transfer between water and the bottom sediments.  A mass
    balance for each constituent is performed at each junction for each
    time step. The quality model predicts the dynamic (tine varying)
    constituent concentrations in each junction which result from a
    specified set of boundary conditions, inflows, waste discharges,
    and diversions*  It is Important that the time and space scales
    used in the DEM approximate as nearly as possible the physical,
    tidal, and climatic characteristics of  the estuary. Special
    attention should be paid to the correspondence of saodel network
    features with existing sampling stations and wastewater Inputs. The
    DEM is sensitive to (1) the time step In the hydraulic program
    (stability reasons), (2) net flows, (3) residuals loading rates,
    (4) frictional resistance coefficient,/  (5) initial conditions if
    "real time" solutions are desired, and  (6) the specified reaction
    kinetics and rates. The Dynamic Estuary Model has been run for
    networks with as many as 1300 channels and 840 junctions.  Some
    versions have modeled up to 15 constituents.
(ASM)  Basic assumptions of model: The model assumes that vertical
    stratification is either absent or limited to relatively small
    areas.  It does not handle wind stress  or tidal flats exposed at
    low tide. Other hydrodynamic processes assuned negligible include
    longitudinal density gradients, Coriolis acceleration, and bottom
    slope.  The instantaneous mixing of residuals discharge throughout
    junctions is also assumed.
(INF)  Input to model: The DEM requires a large input data base on
    disk, tape, and/or cards.  Parameters which need to be specified
    include headwater and tributary flows,  aastewater flows and
    loadings, water withdrawals, seaward tidal conditions, channel and
    junction geometry, bottom roughness of  each channel, constituent
    concentrations at boundaries, and decay rates for non- conservative
    constituents.  Physical data pertaining to channels and junctions
    can be obtained from navigational charts since direct measurements
    are seldom available.
(OUT)  Output of model: The wodel is capable of producing a wide
    variety of outputs.  Output options available are:  (1) maximum and
    minimum flows, heads, and velocities, as well as net flows, over  a
    tidal cycle for the model network, (2)  maxinmn, minimum, and
    average constituent concentrations for each junction over a
    complete tidal cycle (or other specified avaraging interval), (3)
    "slack Hater" and "snapshot" tables of  constituent concentrations
    at desired time intervals throughout the simulation, and (4)
    line-printer plots of both spatial and temporal concentration
    profiles,.
(CSR)  Computational System Requirements: The DEM is written in FORTRAN
    I?.  The hydraulic component of the model requires 2 files, either
    on disk or tape.  For a network of 129 junctions and 131 channels,
    the hydraulic program can b« run on a digital computer with 130K of
    main storage.  THe cost of a 50 hour (4 tidal cycles) hydraulic
    simulation on an IBM 370/168 is approximately $40.  The quality
    component of DEM requires from 4 to 7 files, depending of the
    output options desired.  A quality program with 6 constituents can


                             1448

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                             Accession Mo.   16404000120     (cent)

    be run on a digital computer with 200K  to 4QOK of main storage.
    The cost of a 1000 hour (80 tidal cycles) quality simulation for  6
    constituents and 129 junctions can range from $40 to $75.  The  DEM
    requires 5 to 20 aanweeks of effort for data preparation and output
    interpretation, one programmer*  and one environmental engineer with
    experience in water quality modelings
(&PP)  Applications of model: The Dynamic Estuary Model  has been used
    by the EPA for the Pearl Harbor Mater  Quality Model  development
    project* It uas originally developed by the Mater Resources
    Engineers for the Division of Mater Supply and Pollution Control  of
    the Public Health Service, and it has been used by the Federal
    isfater Pollution Control Administration  (FMPCA) and by the State of
    California.  THe DEM was used by the Federal feater Quality
    Administration (FWQA) for water studies of the San Francisco and
    San Diego Bay estuaries, and by the EPA for Hater quality studies
    of the Delaware and Potomac estuaries..   There have been other  users
    and applications of this model.
(HDW)  Computational system requirements -  Hardware: Mainframe IBM
    370/168 |Disc storage 130K and 6 constituents main storage
(LNG)  Computational system requirements -  Language(s) used: Fortran
(OSK)  Computational system requirements? Operator Knowledge/Skills!  Pro
    grantming ^Engineering ^Experience in water quality modeli
(KTP)  Water Models - Type of models Water  quality
(EMV)  Environraent(s) to which model applies: Estuary
(CON)  Processes and constituents included  in model: Dissolved oxygen
    /Eutrophication ^Salinity jTemperature  .jBio Hydraulics

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                             Accession No.   16404000120    (cont)

    for the Dynamic Estuary Model."  Report by HRE to Florida
    Department of Pollution Control/  Tallahassee*  Florida/  1974.
    Mater Resources Engineers/  Inc.  "Validation and Sensitivity
    Analyses of Stream and Estuary Models Applied to Pearl  Harbor/
    Hawaii."  Report by WRE/ Walnut Creek/  California/ to U.S.
    Environmental Protection Agency/  Systems Development Branch/
    Washington, D.C., 1974.
(CUM)  Contact narae(s): Ambrose/R.B.
(COR)  Contact organization: EPA Athens Environmental Research
    Laboratory
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects
    Research.Environaental Research Laboratory.
                             1450

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                             Accession No.  16404000121

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model: Receiving Water Model
(ACR)  acronym of Data Base or Model: RECEIV-II
{MED)  Media/Subject of Data Base or Model: Water
(ABS)  Abstract/Overview of Data Base or Model: RECEIV-II is a two
    dimensional receiving water model for streams/ rivers/ estuaries/
    lakes/ and reservoirs.  The model represents the physical processes
    of advectiori/ dispersion/ and dilution/ and it can simulate flows/
    tidal movements/ and water surface changes in a link-node network*
    Coupled and non-coupled chemical reactions can be simulated/ and
    dissolved oxygen/ BOD/ coliforms/ nutrients/ salinity/ conservative
    constituents/ chlorophyll a/ and non-conservative constituents with
    first order decay can be modeled.  RECEIV-II is a modification of
    the receiving water module of the Storm Water Management Model
    (SWMM) developed by Water Resources Engineers/ Metcalf and Eddy/
    and the University of Florida,
(CTo  CONTACTS: USEPA/ ORD, sRL/Athens
    Loc: College Station Road/ Athens/ GA 30613 Ph: (404) 546-3585
OTA)  Data Base status: Operational/Ongoing
(DP)  Date of form completion: 01-25-83
(CAP)  Functional capabilities of model: The RECEIV-II model can be
    applied to streams/ rivers/ estuaries/ lakes/ and reservoirs.
    Dynamic conditions are represented/ and an option is available for
    steady state conditions.  The model is two dimensional and permits
    up to 225 channels and up to 100 junctions in a link- node network*
    RECEIV-II can simulate estuarine flats at IOM tide by varying
    cross-sectional area/ and it can handle multiple tidal inlets/
    upstream dams/ and unsteady inflows such as residual discharges/
    storm runoff, and tides.  The physical processes of advection/
    dispersion/ and dilution are represented. Chemical processes
    represented include coupled and uncoupled reactions/ DO/ BOD/
    coliforms/ nutrients/ salinity/ conservative constituents/
    chlorophyll a/ JJH<3>/ 80<2>/ and non-conservative constituents with
    first order decay.  The model does not consider stratified systems/
    but it does consider ocean tide exchange at a single input point.
    RECEIV-II lacks the ability to simulate temperature/ but it does
    consider wind stress and direct rainfall inputs.  The model is
    sensitive to quality time step size and decay coefficients.
    Lateral and vertical velocity variation within the channels can be
    broken-up laterally for a two dimensional effect.
(ASM)  Basic assumptions of model: The model is based on deterministic
    assumptions and uses a finite difference method as a solution
    technique.  RECEiy-II assumes instantaneous mixing throughout each
    junction/ and it uses a two dimensional channel network to simulate
    two dimensional flow and transport.
(IMP)  Input to model: Input to the model for Initial setup and
    calibration includes:  constant headwater inflow rates; flow rate
    for each inflow (discharge/ tributary/ etc.) or withdrawal; tidal
    cycles and heights at the seaward boundary/ widths and depths of
    each channel; initial flow velocities and water surface elevations
    throughout the system; initial constituent concentrations
    throughout the system; residual loading rates from discharges/


                             1451

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                             Accession So.   16404000121    (cont)

    tributaries/  and headwaters; tidal exchange coefficient;
    meteorological data (Hind speed, rainfall, and daily solar
    radiation); and first order decay rates for constituents. Input for
    verification of the model includes:  net flow and velocities for
    each channel; data record of constituent concentration throughout
    the modeled system; and salinity data to establish concentration
    inputs at the seaward boundary.
(OUT)  Output of model: The model produces a tabular printout of:
    maximum/  minimum/ and net flows for each tidal cycle; maximum/
    minimum/  and average constituent concentrations in each channel at
    specified time intervals; and depth at each junction at specified
    time intervals.  Hydrodynamic output (especially channel
    velocities) can be written onto magnetic tape or disk*
(CSR)  Computational System Requirements: RECEIV-II is coded  in FORTRAN
    IV (G)/ and can be run on a digital computer with 400K bytes of
    core storage/ FORTRAN IV (G) compiler/ and two magnetic tapes or
    disks.  Application of the hydrodynamic module costs between
    $15-$100  per run/ and application of the quality module ranges  from
    $10-$50 per simulation run.  The actual expenses of using RECEIV-II
    is dependent upon the extent of discretization/ time step size/ and
    length of simulation. Depending on the model complexity/  1-5
    man-months are needed for model set-up and data preparation*
    Several manhours are necessary for output analysis.  Manpower
    requirements include one computer programmer and one hydraulics
    engineer  with a basic programming background.
(APP)  Applications of model: RSCEIV-II can be linked to the
    terrestrial load routing module of the Storm Mater Management Model
    (SV.MM)/ or it can be utilized by itself to simulate dynamic
    conditions. RECEIV-II has been used by the U.S. Army Corps of
    Engineers/ and it is currently being utilized by the EPA  in Regions
    III and IV. TECHNICAL CONTACT: Center for Water Quality Modeling
    Environmental Research Laboratory USEPA College Station Road
    Athens/ GA 30613 FTSJ250-3585  COM:404/546-3585
(HDH)  Computational system requirements - Hardware: Mainframe any
    digital computer with 400K bytes of memory ;Ma
(LNG)  Computational system requirements - Language(s) used:  FORTRAN
(»TP)  Mater  Models - Type of model: Water quality
(ENV)  Environment(s) to which model applies: Estuary ;Lake
    ;Stream/river
(CON)  Processes and constituents included in model: Dissolved oxygen
    ;£utrophication ;Salinity ;8iological effec Hydrology
(CPL)  Complexity level of model: steady state mass balance ^transient
    mass balance ;multi dim

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                             Accession No.   16404000121     (cont)

   16404000121 202 USEPA,  ORD,  ERL/Athens
(ROR)  Responsible Organization:  Office of  Research and
    Development.Qfflee of  Environmental Processes and Effects
    Research.Environmental Research Laboratory.
                             1453

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                             Accession Ho.   16404000122

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Same of Data Base of Model: Stream Quality Model
, nitrate/, nitrite^ DO, coliform
    bacteria, radioactive material, and an arbitrary noneonservative
    material. It also considers nutrient cycles and algal growth,  the
    program simulates the dynamic behavior of these constituents by
    numerical integration of the one-dimensional fora of the advection-
    dispersion transport equation.  Any branching stream system can be
    simulated*
(CTC)  CONTACTS? Thomas 0. Barnwell  EPA Athens Environmental Research
    Labor Loc: Center for Hater Quality Modeling College Station Road,
    Athens, GA
    30613    Ph: (404)546-3585
(STA)  Data Base status; Operational/Ongoing
(DF)  Date of form completion; 01-25-83
(CAP)  Functional capabilities of models QUAL-II may be implemented at
    several levels of sophistlcation-frora a simple streeter-Phelps
    BOO/DO model to a dynamic eutrophication/temperature simulation.
    QUAL-II represents the stream simulated through the use of reaches,
    a reach defined as a stretch of the stream with uniform hydraulic
    characteristics.  Each reach is divided into computational
    elements.  A maximum of 75 reaches, each with up to 20
    computational elements with no more than 500 in the system, can be
    accommodated in the standard version of the program.  In addition,
    there can be a total of 15 headwater elements, 15 junction
    elements, and 90 input and withdrawal elements.  These limitations
    are arbitrary and can easily be changed by a competent programmer.
    All input is in relation to each reach,  and the hydraulics
    equations are solved by incorporating advection and dispersion
    through a finite difference implicit solution technique.  The
    results on the quality constituents are obtained by numerical
    integration of the one-dimensional form of the advection-dispersion
    mass transport equation for each constituent.  The model proceeds
    to solve the relevant equations of each constituent until a steady
    state equilibrium is achieved.  QUAL-II is written in a modular
    fashion so as to facilitate the incorporation of additional
    processes.
(ASM)  Basic assumptions of model: QUAL-II assumes first order kinetics
    and it utilizes a simplified nutrient-algae cycle with Monod
    kinetics. Only constant inflows and point source discharges are
    considered, and each computational element is considered completely
    mixed. The model does not consider variations in depth or within
    stream cross-section.
(INP)  Input to model: QUAL-II requires an input data base in
    card-image form. Aside from the printed report, no additional
    requirements are imposed.  The data required is varied and includes


                             1454

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                             Accession Ho.   16404000122    (cont)

    evaporation coefficients, oxygen uptake per unit of nitrogen  and
    unit of algae,  algal growth rates, nitrogen and phosphorus half
    saturation constants,  and reaction rate constants.   Further input
    required is the identification of the computational elements  and
    their hydraulic characteristics, and intial conditions of the
    system.
(OUT)  Output of model:  The printed output  Includes a complete history
    of every quality parameter and temperature at each computational
    element. The hydraulic information provided includes flow, velocity
    and depth of each reach, as well as at  the head of the system*
    Water quality information provided includes the concentration of
    each quality component, temperature,, and reaction rates at each
    computational element  in the system.
(APP)  Applications of model: QUftL-II can be used to simulate the
    dispersionary and flow characteristics  of conservative and
    non-conservative constituents in branching stream systems and
    rivers.  It is a modification of QUAL-I ahich was used by the  MRS
    to simulate the Upper  Mississippi River Basin, and it has found
    many other applications.  In fact, GOAL-II is probably the most
    widely used and thoroughly tested water quality model in the  United
    States.
(HDW)  Computational system requirements -  Hardware: Mainframe Any
    digital computer uith  45,000 words of memory c PDF 11 ^Printer  any
    model
(LNG)  Computational system requirements -  Language(s) used: FQRTRIM
(OSK)  Computational system requirements: Operator Knowledge/Skills:  Eng
    ineering ^Knowledge of water quality modeling
(WTP)  fc'ater Models - Type of model: Mater  quality
CEI9V)  Environment(s) to which model applies: Estuary ;Lake
    ;Stream/river
(CON)  Processes and constituents included  in model: Dissolved
    ;Sutrophication ;3alinity ^Temperature  ;Hyd Quality processes
(CPL)  Complexity level of model: steady state mass balance jone
    dimensional
(REF)  References - User manuals, documentation, etc«:
    Roesner, L.A., P.R.  Glguere, and D.E. Evenson*
    Computer Program Documentation for the  Stream Quality Model
    QUAL-II, prepared for  the Southeast Michigan Council of
    Governments by Water Resources Engineers, Inc., 710 South
    Broadway, Walnut Creek, CA 94596.
(CUM)  Contact name(s):  8arnwell,T.O.
(COR)  Contact organization: SPA Athens Environmental Research
    Laboratory 30613    Ph: (4
(HOR)  Responsible Organization: Office of  Research and
    Development.Office of  Environmental Processes and Effects
    Research.Environmental Research Laboratory.
                             1455

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                             Accession No.   16404000123

(DQ)  Date of Questionaire: 12-02-82
(MAM)  lame of Data Base of Model: Stormwater Management Model
(ACR)  Acronym of Data Base or Model:  SHMM
(MED)  Kedia/Subject of Data Base or Model:  Water
(ABS)  Abstract/Overview of Data Base or Model:  The SWMM is a large
    FORTRAN program which models in a comprehensive manner the complete
    urban rainfall/runoff cycle, including  flow  overland and in the
    sewerage system, in-line and off-line storage, treatment (including
    costs) of storm Hater flows, and which  includes a receiving water
    module to assess &ater quality irapacts-   Program outputs consist of
    tables, hydrographs and "pollutographs," which can be displayed at
    points within the system as well as in  the receiving waters-   The
    SWMM has had limited application to non-urban areas as well.  The
    original S&MM was designed for single event  simulation, producing
    detailed (i»e., short time increment) hydrographs and pollutographs
    for individual storm events.  This capability remains, and the
    model has been modified so that it may  run for an unlimited number
    of time steps, i«e«, continuously.  In  this  mode it may be used in
    a planning context^ that is, for an overall  assessment of urban
    runoff problems and estimates of the effectiveness and costs  of
    abatement procedures.  Tradeoffs among  various control options,
    e.g., storage, treatment and street sweeping, may be evaluated*
    Complex interactions between the meterorology, e.g., precipitation
    patterns, and the hydrology of an area  may be simulated without
    resorting to average values or very simplified methods,  in this
    manner, critical events from the long period of simulation may be
    selected for detailed analysis.  In addition, return periods  for
    intensity, duration and volume (mass) of runoff (pollutant loads)
    may be assigned on the basis of the simulated record instead  of
    equating thea (unjustifiably) to the same statistics of rainfall
    record,  in this manner, the critical events chosen for study may
    be substituted for hypothetical "design storms," the latter often
    being synthesized from intensity-duration- frequency curves on the
    basis of questionable statistical assumptions. S^MM is run
    continuouslF using only the Runoff and  Storage/Treatment blocks.
    Routing in TRANSPORT, EXTRAN or RECEIVE is avoided and is
    unnecessary for the planning purposes to which the model is
    applied*  (Hosever, there Is no limitation on the number of time
    steps for either EXTRAN or RECEIVE).  A receiving water model that
    will couple with either continuous SWMM or STORM has been developed
    and documented*
(CfC)  CQMTACTS: Tom Sarnwell   EPA Athens  Environmental Research
    Laboratory Locs College Station Road Athens, Gi 30613  Phi (404)
    546-3175
(STA)  Data Base status: Operational/Ongoing
(OF)  Date of form conpletion: 01-25-83
(CAP)  Functional capabilities of model: The SWMM consists of 7 blocks
    of subroutines.  They are: Executive Block.   Assigns logical  units
    (disk/tape/drum), determines the block  or sequence of blocks to be
    executed, and, or on call, produces graphs of selected results on
        line printer.  Thus, this Block does no  computation as such,
        lo each of the other six blocks are  set up to carry through a


                             1456

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                         Accession No.   16404000123    (cont)

major step in the quantity and quality  computations.  All access to
the computational blocks and transfers  between them pass through
subroutine MAIN of the Executive Block. Transfers are accomplished
on offline devices (disk/tape/drum) which may be saved for multiple
trials or permanent record. Combine block.  Allows manipulation of
data sets (files stored on offline devices) in order to aggregate
results of previous runs for input into subsequent blocks.  In this
manner, large complex drainage systems  may be partitioned for
simulation in smaller segments. Runoff  Block.  Computes the storm
water runoff and its associated pollution loadings for a given
storm for each subcatchraent and stores  the results in the form of
hydrographs and pollutographs at the inlets to the main sewer
system. Overland flow simulation is accomplished by a nonlinear
reservoir routing method using Manning's equation and the
continuity equation. Overland flow does not begin until depression
storages are full. Infiltration on pervious areas is computed by
Green-Ampt or Uorton's exponential function/ and is subtracted from
water depth existing on the subcatchraent.  Gutter flows are treated
as s succession of steady-state flows,  with routing accomplished
using Manning's equation and the continuity equation.  To use this
block the user must input the rainfall  hydrograph and a
discretization of the drainage basin into sub-basins of constant
land form characteristics.  The location and characteristics of the
gutters and pipes also have to be described.  In addition/ the user
must input street cleaning frequency and catchbasin data as well as
the land use and other features of the  different areas of the
basin. Transport Block.  Routes flow through the sewer system.
Prestortn conditions in the sewers are set up by computing
dry-weather flow and infiltration and distributing them throughout
the conveyance system.  The Transport Block then routes the storm
runoff (as determined by the RUNOFF Block), the dry weather flow
(DWF), and the water that has infiltrated into the system through
the main sewer pipes, and through a maximum of t«o optional
"internal11 storage tanks. The routing scheme is based the kenematic
wave formulation assuming cascade of conducts.  ¥hen a pipe is
flowing full and inflow exceeds outflow, the excess (surcharge) is
stored at the upstream manhole.  The flows are routed to a maximum
of five outlet points.  This block requires that the seuer system
be discretized into pipe segments of constant size, slope, and type
Joined by either manhole, control structures such as flow dividers,
or "internal™ storage tanks. An "internal" storage tank is
described by its size, shape, outlet device, and unit cost.  The
outlet device can be either a pump specified to go on or off at a
specified tank depth, a weir, or an orifice.  The outlet device is
used to specify the operation policy of the storage tank. The D'dF
quality and quantity entering the sewer systarc are calculated by
inputting to the model such parameters  as daily and hourly
pollution correction factors, land use  population of the subareas,
and average market value of the dwellings in a subarea.  If more
exact data is available such as average BOD of flows, this can be
used in place of some of the other data, infiltration is calculated
by estimates of base dry weather infiltration and grounduater and


                         1457

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                             Accession Mo.   16404000123    (cent)

    rainwater infiltration,  and such parameters as average  joint
    distance.  The use of sub- routines calculating 0MF quality and
    quantity and infiltration is optional*  EXTRAN Block, This block,
    which is an alternative  to the TRANSPORT  block, provides the user
    the capability to model  sewer systems with extensive surcharging,
    backwater,  flow reversal, looped sewers and a variety of flow
    control devices. EXTRAN  performs the same basic functions as the
    TRANSPORT blockj however, there are two major differences: EXTRAN
    uses a link-node conceptual representation of the transport system,
    totally unlike the TRANSPORT block. SXTRAM includes the inertial
    terms of the Navier-Stokes equations in the solution, whereas
    TRANSPORT is based on a  kinematic wave  assumption.  Like TRANSPORT,
    EXTRAN sets up pre-storra conditions by  computing DWF and
    infiltration and distributing them throughout the conveyance
    systems.  It then performs flow routing only, picking up the runoff
    results, and producing combined flow hydrographs for the total
    drainage basin and at selected intermediate points.  EXTRAN nay
    also be used strictly for stormuater routing Kith neither DWF  nor
    infiltration. The two programs are approximately the same length.
    The order of operations  In both cases is  similar, although the
    software itself is quite different.  {SXTRAN is not a direct
    derivative  of the original TRANSPORT Block). Storage/Treatment
    block.  Simulates the changes in the hydrographs and pollutographs
    of the sewage as sewage  flows through a wasteuater  treatment
    facility. A storage/Treatment device is simulated as a
    series-parallel network  of units, each  with optional storage
    routing.  Each unit consists of arbitrary user-supplied removal
    equations (e.g. removal  as exponential  function of  residence time
    and/or use  of sedimentation theory - coupled with particle size
    specific gravity distribution for constituents. RECEIVE Block.
    Takes output from runoff, TRANSPORT, EXTRAN or STORAGE/TREATMENT
    and computes the impact  of the discharges upon the  quality of  the
    receiving water.  The receiving body of water is discretized by the
    user to consist of a network of nodes connected by  channels.   An
    option in the program allows two parallel channels  to be used
    between junctions, to aid in simulating receiving bodies such  as
    marshes.  Each channel is of constant surface and cross-sectional
    area.  Boundary conditions can be specified as a weir (outfall from
    a lake) or  some tidal condition.
(IMP)  Input to model: SWHM  requires a large amount of  input data, as
    described above*  Typically, the collection and preparation of
    input data  can consume 50% or more of modeling project  resources.
    The various blocks of S'HMH will accept  input data in card-image
    forre, or from disk or tape drives, particularly when output from
    one block is input to the next. The SUHM is designed as a
    "deterministic" model, in that if all input parameters  are
    accurate, the physics of the processes  are simulated sufficiently
    well to produce accurate results without calibration.  This concept
    may fail in practice because the input  data or the  numerical
    methods may not be accurate enough for  most real applications.
    Furthermore, many computational procedures within the Model are
    abased upon limited data themselves. As a result it is  essential


                             1458

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                             Accession No.   16404000123    Stream/rIver ;Non-point Urban (Limited non-ur
(CON)  Processes and constituents included in model: Dissolved oxygen
    jErosion and sediment ^Hydrology >Hydraulic Quality processes
(CPL)  Complexity level of model: transient mass balance ^momentum
    balance ;multi dimensional
(REF)  References - User manuals, documentation, etc.:
    Huber, W.C., J,P, Heaney, S.J. Nix, R.E. Dickinson, D.J. Polntann,
    Storm Water Management Model Users Manual Version III, Mov 1981,
    Draft Report, Municipal Environmental Research Laboratory,
    Cincinnati, OH  45268# L.A. Roesner, R.P. Shubinski, J.A. Aldrich.
    Storm Water Management Model User's Manual Version III Addendum I


                             1459

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                             Accession No.  16404000123    (cont)

    EXTRAN.  November 1981. Draft report.   Muncipal Environmental
    Research Laboratory/ Cincinnati/ OH  45268$ Hetcalf and Eddy/ Inc./
    University of Florida/# Mater Resources Engineers/ Inc./ "Storm
    Mater Management Model/
    Vol. I Final Report/" Report 110 24 DOC 07/71, (HTIS PB 203 289)/
    Environmental Protection Agency/ Washington/ D.C./ July 1971*
    Huber/ W.C., et al./ "Storm Mater Management Model User's
    Manual/ Version II/'« EPA-670/2-7S-017/ Environmental Protection
    Agency/ Cincinnati/ Ohio/ March 1975.
    Medina/ M. A. Jr./ "Level III:  Receiving Water Quality Modeling
    for Urban Stormwater Management/" EPA  600/2-79-100/ Environmental
    Protection Agency/ Washington, D.C./ August 1979.
    Torno/ H.C. (Editor)/ "Proceedings/ Stormuater Management Model
    (SWMM) Users Group Meeting/ January 10-11, 1980/« EPA
    600/9-80-017/ Environmental Protection Agency/ Washington/ D.C,/
    March 1980.
    NOTE:  Version III of the SHMM/ with appropriate documentation/
    available thru University of Florida or EPA
fCKM)  Contact nane(s): Barnwell/f.
(COR)  Contact organization: EPA Athens Environmental Research
    Laboratory
(ROR)  Responsible Organization: Office of Research and
    Development.Office of Environmental Processes and Effects
    Research.Environmental Research Laboratory.
                             1460

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                             Accession Ho.   16404000124

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model; Hater Quality Assessment Methodology
(ACR)  Acronym of Data Base or Models  WQAM
(MED)  Media/Subject of Data Base or Model:  Water
(ABS)  Abstract/Overview of Data Base or Model: The Mater Quality
    Assessment Methodology is a collection  of formulas, tables, and
    graphs which planners can use to perform a preliminary (screening)
    assessment of surface water quality in  large basins.  Analyses
    require little data, and in most cases,  can be accomplished Kith
    the assistance of a desk top calculator*  Desk top calculation
    procedures are provided for the following subject categories;
    Wasteload estimation, including point and non-point source
    pollutants. Stream analyses for water temperature, biochemical
    oxygen demand, dissolved oxygen, total  suspended solids, coliform
    bacteria, plant nutrients, toxic organic chemicals and priority
    pollutants and conservative constituents. Lake analyses for thermal
    stratification, sediment accumulation,  toxic organic chemicals and
    priority pollutants phosphorus budget,  eutrophication potential,
    and hypollmnion DO. Sstuarlne analyses  for estaurine
    classification, temperature, BOD, DO, turbidity, sediment
    accumulation, conservative and non-conservative constituents.
    Additionally, methods are presented to  calculate initial dilution
    and dispersion from a marine outfilL.
(CTC)  CONTACTS; Thomas Q. Barnuell  EPA Athens Environmental Research
    Laboratory
    Loc: Center for Mater Quality Modeling,  Athens, GA 30613   P Phs
    (404) 546-3175, 546-3585
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-25-83
(CAP)  Functional capabilities of model: This methodology predicts
    far-field, average steady-state conditions in streams, lakes,? and
    estauries as a function of long term average naximun and minimum
    nonpoint source loads and point source  loads. Longitudinal
    concentration variations are predicted  for streams and estuaries.
    Accuracy is sufficient to bracket expected conditions in a
    "screening" exercise.
(ASM)  Easic assumptions of model: The nonpoint source loading section
    is based on the modified Universal Soil Loss Equation.  The stream
    section is based on steady-state, plug  flow solutions to the
    conservation of mass equation.  The lake section is based on
    empirical stratification relationships  and mass balance,,,  fhe
    estuary section is based on the modified tidal prism and/or
    fraction of fresh water formulas.
(INP)  Input to model: The methodology is designed to operate with
    minimum data, recognizing that the more data available,? the more
    accurate the analysis*  Basic information needed includes land use*
    stream lengths and net flows, reservoir depths and volumesj? and
    estuary salinity distributions.  Point  source loading data is also
    needed*
(OUT)  Output of model* Output from the model includes predicted streara
    concentrations of 80D> DO, total N, total P, temperature, and
    conservative and organic pullxitants by  reach; total lake nutrient


                             1461

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                             Accession No.   16404000124    (cont)

    concentrations, organic pollutants eutrophic status, and
    hypclimnion  DO deficit? and estuary concentrations of BOD, DO,
    total 13, total P, and conservative pollutants by reach.
    Calculations are done by hand calculator and can be arranged to the
    user's convenience.
(APP)  Applications of nodel: The methodology has been applied and
    tested on the Sandusky River Basin and  four Chesapeake Bay
    sub-basins: the Patuxent, Chester, Mare, and Occoquan.  This work
    was done by the Midwest Research Institute and Tetra Tech on a
    grant from EPA,  the methodology is linked to the Midwest Research
    Institute loading functions.
one
    dimensional ^Simplified
(REF)  References - User manuals, documentation, etc.:
    W,B. Mills, et.al.  Hater Quality Assessment: A Screening
    Methodology for Toxic and Conventional  Pollutants, Parts \f 2, and
    3,  Sept. 1982, EPA6001 6-82~004a,b,c.   Environmental Research
    Laboratory, Athens/ GA  30613^ Hater Quality Assessment:  A
    .Screening Method Fort  Methodoloff for  Hondesignated 208 Areas, EPA
    600/9-77-023, August 1977.
    Available from STIS (PB277161/AS for $29).
(CUM)  Contact name-(s): Ambrose,S.B.
CCOR)  Contact organization: EPA Athens Environroental Research
    Laboratory

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                             Accession No*   16404000125

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model;  Cornell  Nutrient Simulation
(ACR)  Acronym of Data Base  or Model! OS
(MED)  ^edia/Subject of Data Base or Models «ater ^Agricultural
    Non-Point Source Pollution
(ABS)  Abstract/Overview of  Data Base or Model: The CMS model is a
    continuous simulation model* It has been developed to predict
    losses of nitrogen and phosphorus in cropland runoff and
    percolation water.  These losses are modelled as a function of crop
    selection and management, soil  type, weather, and fertility
    (including fertilizers,  waste applications, and crop residues).
    The model differs from other models which attempt to simulate
    cropland nitrogen and phosphorus loss in that it requires no
    calibration. Rather, it  is based on familiar models which have
    themselves been calibrated for  different geographic and management
    factors:  the U.S. SCS Curve Humber equation for runoff and the
    Universal Soil Loss equation for erosion.  Snow accumulation and
    snowroelt are also modelled.
(CTC)  CONTACTS: Douglas A,  Haith    Cornell Dniversity
    Loc: Ithaca, NY 14853   Ph:  (607) 256-2173
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-25-83
(CAP)  Functional capabilities of model: The model operates on a daily
    hydrologic balance and a monthly nutrient balance.  It is a
    field-scale model which  predicts edge-of-field losses of runoff
    water and sediment, organic  and inorganic nitrogen, and fixed and
    soluble phosphorus.  Mass balances for  fixed phosphorus and organic
    nitrogen are kept for a  surface layer of 10 cnu  Mass balances for
    soluble nitrogen and phosphorus are kept for this surface layer and
    a 20 cm depth below that.  Lateral movement of water and nutrients
    in this 30 cm depth is not Modelled.
(ASM)  Easic assumptions of  model:  Potential evapotranspiration is
    modelled by Hamon's formula, and actual evapotranspiration is a
    function of the level of soil water estimated from the previous
    day, crop canopy development, and potential evapotranspiration*
    Actual evapotranspiration is extracted  from the surface layer first
    and then from the lower  level,  and is subtracted before runoff is
    computed.  Precipitation accumulates as snow when daily average
    temperature is below freezing and snowmelt is estimated as the
    minimum of:  the present reservoir of snou or a degree day factor
    multiplied by daily average  temperature.  Percolation from each
    zone is equal to the account of excess  water over field capacity in
    each zone.  This assumes that drainage  is unrestricted and
    completed within one day.  The  USLE factors of P (support
    practice), LS (length-slope), and K (soil credibility) remain
    constant.  The C (crop)  factor  varies over tiae and the R (stora
    erosivity) factor is uniquely simulated for each storm. Input to
    the inorganic nitrogen reservoir includes fertilizers and
    mineralized organic nitrogen.  Output includes runoff, percolation
    and crop uptake.  Input  to the  organic  nitrogen reservoir includes
    crop residues and manure organic nitrogen. An equilibrium between
    fixed and soluble phosphorus is maintained and is a function of


                             1463

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                             Accession No.   16404000125    (cont)

    soil water and clay content of the soil.  Fertilizer phosphorus
    represents the only input to the soluble  reservoir and output
    include runoff/ percolation/ and crop uptake.  Crop uptake of
    nutrients folloys a sigmoidal uptake curve.
(INP)  Input to model: Meteorological input includes daily temperature/
    precipitation/ and storm duration.  Model input parameters includes
    soil physical parameters/ USLE factors K/LS/C, and P, SCS runoff
    curve numbers/ initial levels of nutrients/  total seasonal crop
    uptake of nutrient/ fertilizer schedules/ manure organic N
    schedules/ and crop residue organic N schedules.  The model can be
    verified with actual field data including monthly runoff/ soil
    loss/ nitrogen and phosphorus in runoff/  and nitrogen and
    phosphorus associated with the sediment.
(OUT)  Output of model: Monthly model output  includes reservoir levels
    of organic and inorganic nutrients/ runoff/  soil loss/ and losses
    of nutrients in water and sediment.  Annual  totals and annual
    averages of runoff/ soil loss/ and nutrient  losses are also
    included.
(APP)  Applications of model: The availability of meteorological data
    as veil as minimal computer requirements  for time and space make
    the model well suited for long-term simulations.  Twenty-five year
    simulations in three US locations allowed for an evaluation of
    several "Best Management Practices" (BMPs) in a recent EPA Report/
    "Effectiveness of Soil and Hater Conservation Practices for
    Pollution Control.11  CNS was applied nationwide in a study by
    Resources for the Future (soon to be available from NTIS). In this
    application loadings Here estimated individually for the major
    crops in all but 13 of the 156 major land resource areas (HLRA) in
    the US with those excluded having negligible land area under
    cultivation.  For this study/ ten years of meteorological data were
    stochastically generated for each HLRA.
(HOW)  Computational system requirements - Hardware: Mainframe POP
    11/70, IBM 370/ etc* jDisc storage 200 blocks Printer Line Printer
(LNG)  Computational system requirements - Language(s) used: Fortran
(OSK)  Computational system requirements: Operator Knowledge/Skills: Pro
    gramming ;Engineering

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                             Accession No.  16404000125    (cont)

    Cooperative Agreement No. CR8070S4-01-0.
    Haith, D.A. and L-T. fubbs.  1981.  Operational Methods for
    Analysis: Agricultural Nonpoint Source Pollution.  Ithaca,
    N.Y« Cornell University Agricultural Experiment Station.
    No. 16, 20 p.

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                             Accession No,   16404000126

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Kame of Data Base of  Model:  Dissolved Oxygen Sag Model
(ACR)  Acronym of Data Base  or Model:  DQSAG-I
(MED)  Media/Subject of Data Base or Model;  Water
(ABS)  Abstract/Over view of  Data Base  or Model;  DCSAS-I is  a
    mathematical  model developed to predict  the  steady state dissolved
    oxygen concentrations in streams and canals  resulting from a
    specified set of streamflow, wasteload/  and  temperature conditions*
    The model will determine the streamflon  required to maintain  a
    specified dissolved oxygen goal and Hill search the system for
    available storage to achieve the goal*   The  model can be used to
    estimate mean monthly dissolved oxygen  levels over a full  year.
    Both carbonaceous and nitrogenous  oxygen demands are included, and
    up to five degrees of treatment for both can be specified* It is
    one of two programs that the Texas Mater Quality Development  Board
    and the EPA has for use  in stream  quality simulation studies.  The
    other program, QUAL-II,  was designed to  be used as a non-steady
    complement to DOSAS-I,  Houever, the QUAL-II model has  been
    modified to also include a steady-state  solution and it has largely
    replaced DOSAG-I.
(CTC)  CONTACTS:  Tom Barnwell   US EPA, Environmental Research Lab,
    Center f Quality Modeling
    Loc: College  Station Rd., Athens,  GA 30605  Ph: (404) 546-3175
(STA)  Data Base  status: Operational/Ongoing
(DF)  Date of form completion: 01-25-83
(CAP)  Functional capabilities of model: The purpose of this model is
    to calculate  the biochemical oxygen demand and the minimum
    dissolved oxygen concentration in  a particular stream system. If
    desired, the  minimum dissolved oxygen concentration in  the stream
    system may be checked against a prespecified target level  dissolved
    oxygen concentration. If the minimum dissolved oxygen  level  is
    below the target dissolved oxygen  level, the program Hill  compute
    the required amount of flow augmentation to  bring the dissolved
    oxygen level  up to the target level in  the entire system.   The
    program is designed to be run for  varying climatic and  hydrologic
    conditions during a twelve month period*  Thus, it is possible to
    enter up to twelve different temperatures and corresponding
    discharges to each of the headwaters within  the stream  system being
    modeled. The  DOSAG-I model is a one-dimensional, horizontal plane
    model for streams, rivers, manmade canals and other water
    conveyance systems.  Large impoundments  such as reservoirs cannot
    be considered by this program.  A  list  of restrictions follows:
    Maximum of 10 headwater  stretches  Maximum of 20 junctions  Maximum
    of 50 reaches Maximum of 20 stretches Maximum of twelve months of
    routing for temperature  and headwater flows; a minimum  of  one month
    oust be used Maximum of  four dissolved  oxygen targets.   A minimum
    of one dissolved oxygen  target must be  specified.  This dissolved
    oxygen target may be entered as a  negative number if no flow
    augmentation Is desired. Maximum of five degrees of treatment for
    both carbonaceous and nitrogenous  wastes; a  minimum of one degree
    of treatment  may be specified.  If the  user  does not wish for the
    degree of treatment calculations to be  used  in the modeling


                             1466

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                             Accession No.   16404000126    (cont)

    process, a number less than one should  be entered as the  treatment
    factor for both types of wastes.  DOSAG-I  has a high sensitivity for
    residual loads and velocities/  and a moderate estimated sensitivity
    for flow and decay coefficients.
(ASM)  Basic assumptions of model:  The model  assumes constant stream
    velocity throughout each reach  and assumes first order decay only.
    The Streeter-Phelps equation is used to calculate dissolved oxygen
    concentration, and the computation of atmospheric reaeration is
    based on the Fickian law of diffusion.   A Lagrangian solution
    technique is used to solve the  dissolved  oxygen equations*
(INP)  Input to model: The following  are required for input and
    calibration needs: Reach length Mean velocity Mean discharge Mean
    depth (per reach) Average reach temperature Residuals discharge
    inflows Withdrawals and groundwater inflows Residuals inputs (as
    800) Dissolved oxygen concentration in  each reach For verification
    of the model, streamflows, stream velocity, and observed
    constituent concentrations throughout the modeled area are required.
(OUT)  Output of model: Output from the model consists of a tabular
    printout of the concentration of  dissolved oxygen for each reach,
    BOD (carbonaceous and nitrogenous) at the start and end of each
    reach, an echo of all input data, and a final summary.
(APP)  Applications of model: DOSAG-I was developed by Vater  Resources
    Engineers, Inc. and the Texas Hater Development Board. The model
    has been used by the Texas Water  Development Board for use in the
    San Antonio River Basin, and it has been  used for a variety of
    applications by the EPA. TECHNICAL CONTACT: Tom Barnuell  Center for
    Water Quality Modeling U.S. Environmental Protection Agency
    Environmental Research Laboratory College Station Road Athens, GA
    3605 FTS 250-3175  COM 404/546-3175
(HDW)  Computational system requirements -  Hardware: Mainframe Can be
    used on many different models >Disc storage Printer Any model ;Card
    reader/punch
(LNG)  Computational system requirements -  Language(s) used:  FORTRAN 17
    (G level)
(OSK)  Computational system requirements: Operator Knowledge/Skills: Jun
    tor engineer familiar with water  quality  modeling
{WTP)  Water Models - Type of model!  Water  quality
(ENV)  Environment(s) to which model  applies: Stream/river
(CON)  Processes and constituents included  in model: Dissolved oxygen

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                             Accession No.   16404000126     (cent)

(COR)  Contact organization:  US EPA* Environmental  Research Lab* Center
    for Water Quality
(ROR)  Responsible Organization:  Office of  Research and
    Development.Office of Environmental Processes and Effects
    Research.Environmental Research Laboratory.
                             1468

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                             Accession No.   16404000127

(Dq)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model: Level Ill-Receiving Hater Quality
    Modeling for Urban Stormwa merit
(ACR)  Acronym of Data Base or Model: NONE
(MED)  Media/Subject of Data Base or Model:  Mater
(ABS)  Abstract/Overview of Data Base or Model:  Level Ill-Receiving is
    a simplified continuous receiving water  quality model that can be
    used as a planning guide to permit preliminary screening of area
    uide wastewater treatment strategies. The model was designed to
    interface with hourly continuous urban catchment hydrologic
    simulation models such as STORK or SWtiM*  A large number of urban
    pollution control alternatives can be simulated and evaluated in
    terms of their impact on receiving water quality. Evaluation is
    accomplished by evaluating either classical dissolved oxygen sag
    curves or cumulative frequency curves of dissolved oxygen
    concentration.  The model computes a minimum interevent time to
    define statistically independent storm events.
(CTC)  CONTACTS: Dr. Miguel A. Medina     Department of Civil
    Engineering Du University
    Locs Durham/ NC 27706   Phs (919)684-2434
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completions 01-25-83
(CAP)  Functional capabilities of model: Level Ill-Receiving can
    accommodate a large number of inflow combinations of receiving
    water flow, dry-weather flow, and wet-weather flow.  Oxygen
    concentration is considered the key to  the quality of natural water
    bodies, although it is certainly not the only viable water quality
    indicator.  Urban runoff quantity and quality must be computed with
    a model like STORM or SWMM.  Receiving water effects are computed
    using a simplified modeling approach. Advective and dispersive
    transport is modeled.  The dissolved oxygen balance includes
    carbonaceous BOD and reaeration. Nitrogeneous oxygen demand is
    neglected.
(ASM)  Basic assumptions of model: Assumptions typical of models
    limited to interim planning are made. Including: Temporal
    steady-state conditions prevail, i.e.,  all system parameters and
    inputs (other than stormvater inputs) are constant with respect to
    time; Natural system parameters (such as flow, velocity, depth,
    deoxygenation and reaeration rates, and  longitudinal dispersion)
    are spatially constant throughout each time step; All waste inflows
    occur at one point; The effects of various natural biological
    processes (algal photosynthesis and respiration, benthal
    stabilization) are incorporated into a background quality reflected
    by an upstream D.O. deficit.  Any benthic buildup is incorprporated
    in the BQD decay rate; Waste treatment  facilities operate at
    constant efficiency, independent of hydraulic and organic loadings,
    for the entire period of simulation.
(INP)  Input to model: Program input consists of STORM/SWMM output and
    data cards organized into 5 major card  groups.  Card group I
    controls the execution of the three major subprograms. Card group
    II controls the autocorrelation analysis of hydrologic time series.
    Card group III contains input data common to both the wet-weather


                             1469

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                             Accession No.   16404000127    (cont)

    and dry-weather flow models.  Card group IV contains the wet-weather
    flow model input/ and card group V is specific to the dry-weather
    flow model.
(OUT)  Output of model:  Program output consists of tables and plots
    describing systei response/ including correlograms of time series/
    frequency histograms or cumulative frequency curves of D.O.
    concentrations/ and tables of D.O. concentrations at specified
    locations.
(APP)  Applications of model: Level-III Receiving may be applied to the
    surface drainage of most urban catchments.  There is no limitation
    to the size of catchment or number of storm events modeled (other
    than computer time and costs).  Data requirements are common to
    engineering analysis of nonpoints source problems and complete
    instructions on data preparation are provided.  Field measurements
    are necessary to calibrate model parameters and verify predicted
    values. The methodology is not applicable to systems requiring
    multi-dimensional transient analysis.  Complex water quality
    conditions such as eutrophication/ non-linear kinetic interactions/
    sedimentation/ and sediment exchange are not represented* TECHNICAL
    CONTACT: Dr. Miguel A. Medina Dept. of Civil Engineering Duke
    University Durham/ NC  27706  (919)684-2434
(HOW)  Computational system requirements -Hardware: Mainframe IBM
    370/165 and AMDAHL 470-V6/II  ;Disc storage 100
(LNG)  Computational system requirements - Language(s) used: FORTRAN
(WTP)  later Models - Type of model: Hater quality
(ENV)  Environments) to which model applies: Stream/river
(COM)  Processes and constituents included in model: Dissolved oxygen
(CPL)  Complexity level of model: steady state mass balance
(REF)  References - User manuals/ documentation/ etc.:
    Medina/ M. A./ Jr.  1979. Level III:  Receiving
    Water Quality Modeling for Urban Stormwater Management.
    EPA-600/2-79-100.  U.S. Environmental Protection Agency/
    Cincinnati/ OH  45268.
(CNM)  Contact name(s):  Medina/M.A.
(COR)  Contact organization: Department of Civil Engineering Duke
    University
(RQR)  Responsible Organization:  Office of Research and
    Development. Off ice of Environmental Processes and Effects
    Research.Environmental Research Laboratory.
                             1470

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                             Accession No.   16404000128

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Same of Data Base of Models Water Quality for River-Reservoir
    Systems
(ACR)  Acronym of Data Base or Model: MQHRS

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                             Accession No.   16404000128    (cent)

    rate for all lake and stream inflows/  (b) lake and stream
    hydrogeonetric data,  (c) lake outflow elevations and locations/  (d)
    latitude and longitude of prototype systems,  (e) Secchi disc depth
    for light extinction/ 
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                             Accession Ho.   16404000128    (cont)

    Water Resources Research/ U.S.  Dept.  of Interior/  Washington,
    D.C.
    2.  King, I.  P.  1976.   Flow Routing  for Branched  River
    Systems/  prepared for Hydrologic Engineering Center./
    U.S. Army Corps of Engineers, Davis,  CA  95616.
    3.  Norton, W. R. 1972.  An Assessment  of Water Quality in
    the Louer American River: Past, Present, and Future,
    County of Sacramento, Dept. of Public Works, Sacramento, CA
    95616.
    4.  HEC.  1978a.  Water  Quality for River Reservoir
    Systems,  Hydrologic Engineering Center, U.S. Army  Corps of
    Engineers, Davis, CA  95616.
    5.  HEC.  1978b. Statistical and Graphical Analyses of
    Stream Mater  Quality Data, Hydrologic Engineering  Center,
    U.S. Army Corps of Engineers, Davis,  CA   95616.
    6.  Smith, D. J. 1978.   Revised Hater Quality for  River-
    Reservoir Systems Model, prepared for Hydrologic
    Engineering Center, U.S. Array corps of  Engineers,  Davis, CA
    95616.
    7.  Willey, R. G. And D. Huff.   1978.  Chattahoochee  River
    Hater Quality Analysis, Hydrologic Engineering Center,  U.S.
    Army Corps of Engineers, Davis, CA  95616.
    8.  Kllley, R. G., J. Abbott, and M.  Gee.  1977. Oconee
    River Mater Quality and Sediment Analysis, Hydrologic
    Engineering Center, U.S. Army Corps of  Engineers,  Davis, CA
    95616.
(CNM)  Contact narae(s): Willey,R.G,
(COR)  Contact organization: Hydrologic Engineering Center

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                             Accession No.   16404000129

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model: Receiving Mater Quality Model
(ACR)  Acronym of Data Base or Model: RWQM
(MED)  Media/Subject of Data Base or Model:  Water
(A8S)  Abstract/Overview of Data Base or Model: The Receiving Water
    Quality Model (RfelQM) was developed by Resource Analysis/ Inc. for
    the U.S. Army Corps of Engineers* Hydrologic Engineering Center to
    interface with STORM (Storage Treatment Overflow Runoff Model).
    RWQM (HEC, 1979), when linked with the  time history of storm and
    dry-weather flows generated by STORM, provides the capability to
    predict the impact of land surface runoff on stream water quality.
(CTC)  CONTACTS: R.G. Willey    Corps of Engineers, Hydrologic
    Engineering C Loc: 609 Second St.     Ph: (916) 440-3292
    Loc: Davis, CA 95616
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-25-83
(CAP)  Functional capabilities of model: RWQM simulates the
    one-dimensional transport and transformation of six water guality
    parameters (temperature, DQ, carbonaceous BOD, nitrogeneous BOD,
    orthophosphate, conforms) in freshwater stream networks.
(ASM)  Basic assumptions of model: RWQM simulates time-varying
    hydraulic and water quality conditions  by utilizing the law of mass
    conservation for water and pollutant volumes.  Stream routing uses
    the kinematic wave assumption.  Water quality parameters are
    modeled using first order kinetics.
(INP)  Input to model: RWQM input is on cards and tape files.  Input
    consists of, for each stream reach:  Stream reach and segmentation,
    simulation controls, I/O controls, percentile curve limits and
    location, atmospheric temperature input, monthly stream equilibrium
    temperature, monthly heat transfer rate coefficients, reaction rate
    coefficients, reaction rate termperature modification bases, gauged
    baseflOH information, stream hydraulics information, boundary
    conditions, tributary flows, point sources, nonpoint sources,
    volumetric sources and sinks, STORM runoff and dry weather flow,
    combined sewer overflows, storage releases and treated outflow, and
    initial conditions.
(ODT)  Output of model: RWQM offers a wide  range of statistical output
    to both summarize and provide "snapshots'1 of simulated instrearn
    conditions.  Long term average, maximum, and minimum pollutant
    concentrations, temperatures, and flows are tabulated and frequency
    (percentile) curves can be computed.  In addition, parameter
    profiles can be printed for any day or  "pollutagraphs" for chosen
    locations.

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                             Accession No.  16404000129    (cont)

(LNG)  Computational system requirements - Language(s) used:  FOR TRAIN
(HTP)  ttater Models - Type of model: Mater quality

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                             Accession No.   16404000130

(DQ)  Date of Questionaire: 12-02-82
(MAM)  Name of Data Base of Model: Air, Land, Hater Analysis System
(ACR)  Acronym of Data Base or Model:  ALWAS
(MED)  Media/Subject of Data Base or Model: Air jToxic substances
    ;«ater ^Other-surface runoff
(ABS)  Abstract/Over view of Data Base or Model: ALMAS can simulate the
    effects on surface water quality of multimedia toxicant releases to
    the environment.  This mathematical model integrates the single
    media models DiDOT, an air model,  EXAMS a water quality model, and
    NFS, a runoff model* It is most suitable for persistent organic
    chemicals which tend to adsorb to particulate matter.
(CTC)  CONTACTS: Dr. Kenneth F. Hedden
    Loc: D.S. EPA/ERL-Athens, Georgia  30613, (404) 546-3310
(STA)  Data Base status: Operational/Ongoing
CDF)  Date of form completion: 01-25-83
(CAP)  Functional capabilities of model: ALWAS is designed to assist in
    the assess ment of water quality problems associated with toxic
    chemicals released to the atmosphere.  The combined effect on
    surface water quality of toxic releases to several media? including
    air, non- point source, direct discharge, and grountiwater may also
    be eval uated.  Analysis of groundwater-impacts is limited since
    the user must know the rate and quality of grounduater recharge to
    the surface water body.  The model will be useful in determining
    the most effective strategies for controlling water quality effects
    of toxic chemicals regardless of the ultimate source, and will be
    useful in evaluating the potential impacts of new chemicals enter-
    ing commerce.
(ASM)  Basic assumptions of model: The basic flow of the model is from
    air to land surface to surface water body, with the direct transfer
    from air to surface water body also accounted for.  Atmospheric
    point sources (smokestacks) and area sources (arising from
    transportation, land use, residential heating, etc.) can be
    simulated,  yet deposition, caused by the scavenging of air- borne
    contaminants by precipitation, is simulated as well as dry
    deposition resulting from such processes as gravitational settling,
    impaction/ or dissolution of gases.  Gaseous and particulate
    contaminants are treated uniformly by the model, consistent with
    recent findings that many toxic organic con- taminants which exist
    as gases at atmospheric pressure and temperature nonetheless will
    behave as particulates with respect to deposition processes, since
    the fraction of the airborne mass which is adsorbed to ambient
    aerosols is primarily responsible for atmospheric deposition.
           The model is designed to be applicable at a wide range of
    spatial scales ranging from that of a calibrated NPS watershed
    (iiirited to about 5 km(2)) up to a major river basin covering
    10(4)km(2).
           ALWAS is a time-dependent model whose fundamental time
    step is one hour.  DiDOT and NPSDEP respond at that time scale
    while EXAMS interfaces with those two models after temporal
    averaging over a user-determined number of days.  The time
    dependence of DiDOT is different mathematically from that exhibited
    by KPSDEP and EXAMS.  DiDOT uses a standard air dis- persion


                             1476

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                             Accession  So.   16404000130     (cent)

    approach which assumes  that  steady  state conditions  exist  for  each
    hourly time  step*
           DiOQT can handle two  contaminants in  a single run*   In
    order to interface with NPSDEP,  one of  these contaminants  must be
    total suspended particulates (TSP), while the other  one may be any
    toxic pollutant, either vapor  and partially  vapor  and partially
    adsorbed to  ambient aerosol.  DiDOT does not explicitly account for
    the particle size  distribution of particulate contaminant,  so  the
    deposition parameters  should represent  the mass  weighted average of
    the distribution of the parameters.
           DiDQT's usage of meteorological  and source  characteristics
    data is consistent with standard procedures  used in  most
    EPA-supported air  quality models.   This feature  makes the  model
    easy to use  for those  familiar with standard air modeling
    procedures.  DiDOT  is also consistent with standard air modeling
    procedures in its  use  of Gaussian dispersion algorithms, firiggs
    Plume rise  formula, ASME dispersion parameters,  and  stability
    classes based on wind  speed  and solar radiation. Its method for
    accounting for limited  mixing  under an  inversion lid, is also
    consistent with standard approaches.
           Mhere DiDQT diverges  from standard air quality models is in
    its deposition algorithms.   The dispersion algorithms utilized in
    DiDOT represent a  synthesis  and application  of current research and
    mathematical analysis  of the deposition process.  In order to
    describe the dry deposition  process from point sources, DiDOT
    applies the  vigorous analytical solution derived by  Ermak  which
    accounts for both  gravitational settling and surface depletion.
(INP)  Input to  model: ALWAS requires inputs which may be separated
    into six basic categories:
           Meteorological  data:   each sub-model  of ALWAS requires
           meteorological  data of  different kinds.  Both DiDOT and
           NPSDEP require  hourly meteorological  data in  formats com-
           patible with standard reporting  formats of  the National
           Weather Service.
           Pollutant Source data:   DiDOT and EXAMS require data
           characterizing  sources  of the pollutant to  the environment.
           DiDOT treats three kinds of pollutant sources:  point sources,
           traditional area sources, and distant city-sized area sources.
           Pollutant fate  properties:  chemical  specific inputs are
           required primarily by DIDOT and  EXAMS.  DiDOT uses  the  settling
           velocity, deposition  velocity, scavenging ratio,? and atmos-
           pheric degradation half-life. These, in turn, may  be esti-
           mated from  knowledge  of particle size, Henry's law  constant,
           vapor pressure,  and molecular weight, or other fundamental
           properties.  EXAMS requires similar inputs, solubility  in
           water, octanol/water  partition coefficient, rates of
           hydrolysis, photolysis, and oxidation.
           Calibration data for  NPSDEP:  NPSDEP  requires calibra-
           tion  data — time series of water flow and  quality  at the
           discharge point of an upland watershed.
           Characteristics of the physical  environment:   KPSDEP
           requires as input various physical features of the  watershed


                             1477

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                             Accession So.   16404000130    (cont)

           area-length of overland flow path, slopes, elevation, land
           use characteristics, portions of watershed which are pervious
           and impervious, soil characteristics,  etc.
           EXAMS relies extensively on a user-specified description
           of the water body.
           Interfacing data:  within this category are the geo-
           metrical relationships between the DiDQf receptor locations
           (points at which deposition rates are  calculated), NPSDEP
           catchments, and EXAMS cells.
(OUT)  Output of model; The fundamental ALHAS outputs ace the surface
    water quality outputs presented by EXAMS,  these include the total
    contaminant concentrations, as a function of  time, in each EXAMS
    cell, and the partitioning of that total contaminant among various
    ionic, dissolved, sediment adsorbed, and biosotbed forms.  DiDOT
    also presents summary air quality outputs including long-term
    average concentrations over the watershed and the extreme hourly
    and daily average concentration.  HPSDSP provides flow, sediment
    transport, and toxicant loading outputs at monthly and annual
    intervals, as veil as short term output for major storms.

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Accession No.  16404000130    (cont)
1479

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                             Accession No.   16404000131

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Jiame of Data Base of Model: Chemical Migration and Risk
    Assessment Methodology
(ACR)  Acronym of Data Base or Model: CMRA
(MED)  Media/Subject of Data Base or Model: Toxic substances ;Water
(AfiS)  Abstract/Over view of Data Base or Model: the CHRA Methodology
    predicts the occurrence and duration of toxic contaminants in
    stream systems.  At the same time, it predicts the probability of
    acute and chronic damages to aquatic biota.  The methodology
    consists of the following components; 1) overload contaminant
    transport modeling; 2) in- stream contaminant transport modeling;
    3} statistical analysis of instream contaminant concentrations;
    and, 4) probabilistic risk assessment.
           CMRA is composed of three simulation models and one statis-
    tical package: The Agricultural Runoff  Management (ARM) Model
    (Donigian and Crawford, 1976), the hydrodynamic component of
    EXPLORE (Baca, et al,, 1973), the sediment-contaminant model
    SERATRA (Onishi, et al., 1979; Onishl and Wise, 1979, a,b), and the
    statistical program FRANCO (Olsen and Wise, 1979; Onishi, et al.,
    1979).
(CTC)  CONTACTS: Robert B. Ambrose, Jr.
    USEPA/SRL/Athens, GA  30613  (404) 546-3546
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-25-83
(CAP)  Functional capabilities of model: ARM model predicts runoff and
    sediment and contaminant loadings at the edge of a stream*  ARM
    provides continuous simulation of contaminant loading by modeling
    hydro- logic response of watersheds, soil erosion, contaminant
    adsorp- tlon and removal, and contaminant degradation.
           Instream chemical migration and  fate are simulated by the
    hydrodynamic, water-quality model, EXPLORE and the sediment-con-
    taminant transport model, SERATRA.  EXPLORE is a one-dimensional,
    general water-guality model which provides discharge and depth data
    to SERATRA.  SERATHA is a finite element model which pre- diets
    time-varying longitudinal and vertical  distributions of sediments
    and contaminants,  The model consists of the follow- ing three
    submodels coupled to describe sediment-contaminant interaction and
    migration: o sediment transport o dissolved contaminant transport o
    particulate contaminant (contaminants adsorbed by sediment)
           transport.
    The sediment transport submodel simulates transport, deposition,
    and scouring for each size fraction (or sediment type) of both
    cohesive and noncohesive sediments.  The transport of particulate
    contaminants is also simulated for those associated with each
    sediment size fraction.  The contaminant submodels include the
    mechanisms of: 1) advection and dispersion of dissolved and par-
    ticulate contaminants, 2) chemical and biological degradation,
    3) adsorption/desorption, and 4) deposition and scouring of par-
    ticulate contaminants.  SERATRA also computes changes In river bed
    conditions for sediment and contaminants.
           The computer program, FRANCO, provides statistical sum-
    marization of time-varying contaminant concentrations and is the
        Preceding page blank
                             1480

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                             Accession Mo.   16404000131     (cont)

    link between simulated instream contaminant concentrations  and  risk
    assessment.   It provides the frequency  of occurrence  and duration
    of specified contaminant concentrations in receiv- ing Haters*
    Outputs include the number of times and the percent  of time a given
    concentration-duration level is exceeded, and the concentration
    levels involved.
           Risk  is typically determined by  multiplying the pro-
    bability of  an event by the consequential effects.   FRANCO  pro-
    vides a measure of the probability*  The consequential effects  are
    expressed in terms of lethality and sublethality by  using a medial
    lethal concentration (LC50) and MATC (maximum accept- able  toxicant
    concentration).  The LC50 with its associated duration is defined
    as a concentration at which level 50% of an aquatic  species will  be
    killed.  This represents an acute impact.  The MATC  range is
    located between the highest coneen- tration showing  no detectable
    harmful effects and the lowest values displaying some observable
    effect.  Hence, MATC describes the effect-no effect  boundary for
    chronic toxicity.
           By selecting specific concentration duration  levels  to match
    LCSOs and the MATC value/ FRANCO provides a probabilistic risk
    assessment.   FRANCO displays consequence zones of lethality,
    possible lethality, sublethality, and no-effect with  the assoc-
    iated probabilities.
(ASM)  Basic assumptions of model: The three simulation  models  are
    based on mass balance considerations.  ARM and EXPLORE are
    described elsewhere in this inventory.   SSRATRA is a  finite-element
    sediment-con- taminant model that solves net first-order chemical
    degradation  and linear partitioning along with an unsteady  sediment
    balance that calculates local erosion and deposition.
(INP)  Input to  model: Required input for ARM includes meteorological
    data, physical and chemical properties  of a contaminant,
    contaminant  application rates and practices, and watershed
    characteristics.
           Required input for EXPLORE and SERATRA includes channel  and
    sediment characteristics and adsorption/desorption properties of
    the contaminants.  Because the current  toxicological  data base  is
    not sufficiently advanced to fully utilize the par-  ticulate
    contaminant  concentrations, only the cross-sectionally averaged,
    dissolved pesticide concentrations are  further analyzed for risk
    assessment.   However/ the capability is there to include
    particulate  contaminants adsorbed by suspended and bed sediments
    which may be important under actual field cir- curastances,
    especially for assessment of a long-term aquatic in-  pact.
           FRANCO typically uses six concentration-duration pairs to
    define a piecewise concentration-duration curve to provide  the
    number of times, duration, and frequency a given concentra-
    tion-duration curve is exceeded.  Because of the lack of avail-
    able toxicological data, the risk assessment is presently limited
    to the direct effects of the dissolved  form of the chemical,
    Ingestion as a secondary route is not addressed, nor  are indirect
    effects such as bioconcentration of blomagnification.
(OUT)  Output of model: Outputs for ARM and EXPLORE are  described


                             1481

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                             Accession No.   16404000131    (cent)

    elsewhere in this inventory.   SERATRA produces tables of sediment
    and chemical concentrations for specified model segments over  tine.
(APP)  Applications of model: Battelle NM has applied the CMRA
    Methodology to a portion of the Four  Mile Creek Watershed, Four
    Mile and Wolf Creeks in central Iowa.  The toxic contaminant
    selected for the test Has the pre-emergence herbicide/ alachlor/  a
    widely used pesticide in the  area.   Alachlor is a phenylaniline
    with a moderate solubility and a small  capacity for adsorption to
    sediment.  Pesticide migration-fate modeling was performed for a
    three year duration between June 1971 and May 1974.
(HDW)  Computational system requirements  -  Hardware: Mainframe IBM, DEC
    PDF 11-70 ^Magnetic tape storage-varies w Printer-standard 132 line
    printer
CLMG)  Computational system requirements  -  Language(s) used: Fortran
(QSK)  Computational system requirements: Operator Knowledge/Skills:  Eng
    ineering
(WTP)  Water Models - Type of model: Water  quality
    Water run-off
(ENV)  Environment(s) to which model applies: Stream/river
    }N on-p oint:non-urban
(COM)  Processes and constituents included  in model: Erosion and
    sediment ;Toxic chemicals ^Biological effects /H Hydraulics
(CPL)  Complexity level of model: Transient mass balance /Momentum
    balance jMulti dimensional
(fi£F)  References - User manuals/ documentation/ etc.:
    fiaca/ R.G./ W.M. Uaddel/ C.R. Cole/ A.  Brandstetter/
    and D.B. Cearlock.  1973,  EXPLQRE-I:  A River Basin Mater
    Quality Model,  prepared for  the U.S. Environmental Protection
    Agency by Battelle/ Pacific Northwest Laboratories/ Richland/  WA.
                   Donigian/ A.S. and N.B.  Crawford.  1976.  Modeling
    Pesticides and Nutrients on Agricultural Lands.  SPA-600/2-76-043.
    O.S. Environmental Protection Agency/ Washington/ D.C.
                   Olsen/ A.R. and S.E. Wise.  1979.  Frequency Analysis
    of Pesticide Concentrations for Risk  Assessment.  Prepared for
    the U.S. Environmental Protection Agency by Battelle/ Pacific
    Northwest Laboratories/ Richland/ WA.
                   Qnishi, ¥./ and S.E. Wise.  1979a. "Finite Element
    Model for Sediment and Toxic  Contaminant Transport in Streams."
    Proceedings of Conservation and Utilization of hater and Energy
    Resources.  Hydraulics and Energy Divisions, ASCE/ San Francisco/
    CA./ pp. 144-150.
                   Onishi/ V. and S.E. Wise.  1979b. Mathematical
    Model/ SERATRA/ for Sediment and Contaminant Transport in
    Rivers and its Application to Pesticide Transport in Four Mile
    and Wolf creeks in Iowa.  Prepared for  the U.S. Environmental
    Protection Agency by Battelle/ Pacific  Northwest Laboratories/
    Richland/ MA.
                   Qnishi, y./ S.M. Brown/  A.R. Olsen, H.A. Park-
    hurst/ S.E. Wise, and S.H. Walters.  1979.  Methodology for
    Overland and Instream Migration and Risk Assessment of Pesti-
    cides.  Prepared for the U.s. Environmental Protection Agency
    by Eattelle, Pacific Northwest Laboratories/ Hichland/ MA.


                             1482

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                             Accession No.   16404000131     (cont)

(RQR)  Responsible Organization:  Office of  Research and
    Development.Offiee of Environmental Processes and Effects
    Research.Environmental Research Laboratory.
                             1483

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                             Accession No.   16405000105

(DQ)  Date of Questionaire: 12-02-82
(NAM)  $ame of Data Base of Model:  Formal Same = International Ground
    Water Modeling Center (IGWMC)
(ACR)  Acronym of Data Base or Model: None
(MEO)  Media/Subject of Data Base or Modal:  Mater
(ABS)  Abstract/Overview of Data Base or Model: The purpose of the
    Clearinghouse is to make available/ to the ground water community,
    a description and location of over 500 of the world's ground water
    models.  Specifically^  model descriptions include:  (1)  aquifer
    conditions included In model, <2) fluid conditions  included in
    model, (3) model processes, (4) input data of model requirements,
    (5) basic technique for model,  (6) geometry of model, (7) equation
    solving technique, (8)  error criteria, (9) computer specifications
    for model, (lO)raodel program code information, (ll)references.
    Model contributors include numerous universities, the Department of
    the Interior, the U.S.  Geological Survey, the U.S.  Corps of
    Engineers, state and local agencies, private businesses (esp.
    Sattelle Pacific MM labs), as well as a number of foreign countries.
(CTC)  CONTACTS: Director,  IGWMC,  Holcomb Research Institute, Butler
    University Loc: Indianapolis, Indiana   Ph: (317)283-9555
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-27-83
(CAP)  Functional capabilities of model: Users can search the library
    of rcodels according to the following model type and obtain a
    listing of those which would best fit their needs:  Prediction
    (flow, mass transport,  heat transport,  deformation); Management;
    Identification; and Data Manipulation.
(ASM)  Basic assumptions of model:  The user will be able to describe
    needs in terms of goals, available monetary resources,
    sophistication of needed results.
(INP)  Input to model: The users will supply general information
    concerning the ne model type, aquifer extent and thickness, flow
    characteristics, and data availability.
(OUT)  Output of model: Library will provide listing of model type,
    model developer of documentation, availability and  past
    utilization, and special features.
(APP)  Applications of model: The clearinghouse has been used by water
    resource planners, reasearchers, and field investigators of ground
    water. NM: Contamination Sites Directon OFC: Holcomb Research
    Institute, Butler University AD: Indianapolis, Indiana PH:
    (317)283-9421
CHDIO  Computational system requirements - Hardware: Mainframe
    VAX11/78030 ;Disc storage 200 cylinders (15000000 Printer
(LNG)  Computational system requirements - Language(s)  used: Cobol

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                             Accession No.   16405000114

(DQ)  Date of Questionalre: 12-02-82
(NAM)  Name of Data Base of Model:  Feedlot  Runoff Model Kansas State
    University
(ACR)  Acronym of Data Base or Model:  FRQMKSO
(MED)  Media/Subject of Data Base or Model: Mater
(ABS)  Abstract/Overview of Data Base or Model:  A continuous
    simulation, digital computer/ hydrologic model of feedlot runoff
    generation and disposal has been developed by Kansas State
    University for SPA.  The purpose of the model is to establish
    guidelines and design parameters for feedlot runoff control
    facilities which will meet the requirements of the federal Hater
    Pollution Control Act Amend- aients of 1972.   The nodel continuously
    monitors the uater bud- get of a feedlot-storage pond-irrigation
    disposal area control system using historic rainfall and
    temperature data.  It uses only readily available climate, soil*
    and crop data so that it can be applied to all major livestock
    producing areas of the United States.  The nodel is expected to be
    useful in evaluating applications for "permits" to discharge and
    for planning agencies in "Best Management Practices" for feedlots.
    A user manual is included uith program  printout, input data
    requirements, and an example of a 25-year simulation.
(CTC)  CONTACTS: Jerome J. Zovne
    Loc: Kansas State University, Manhattan/ Kansas (913) 532-5580
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-27-83
(CAP)  Functional capabilities of model: FROMKSU is a continuous
    simulation digi- tal computer program written in "Ten Statement**
    Fortran for simplicity and compatibility uith most machines having
    Fortran capability.  The model uses historical dally precipitations
    and temperatures to evaluate the design of a particular feedlot at
    a particular location.  This version of FROMKSU reads the required
    precipitation and temperature data from tapes provided by the
    National Heather Service Climatic Center in Asheville, North
    Carolina.  A magnetic tape drive is required in order to use this
    program.  Minor alterations would be necessary in order to read
    this data from other sources.
(ASM)  Basic assumptions of nodel:  The model is based on the assumption
    that run- off, evaporation, evapotranspiration, irrigation
    disposal, scheduling, and storage pond  size can be expressed by
    mathe- matical equations which simulate on a continuous basis the
    actual field condition.  The model accounts for snovmelt on the lot
    and disposal areas differently due to surface conditions, it con-
    siders frozen ground and crop water use for disposal timing.
(IMP)  Input to model: The model uses information that can be obtained
    from exist- ing records and maps, plus  the design of the feedlot.
    Cliroa- tological needs are included - maximum and minimum dally
    temperature, daily precipitation, relative humidity, percent
    sunshine, wind speed, Intensity of solar radiation and coefficients
    for the Panraan equa- tion.  The size of the feedlot is necessary
    along uith the volume and design of the retention pond systen, also
    the pumping rate, size of disposal area, soil type cropping pattern
    are needed. Several assumptions must be made about operation of the


                             1485

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                             Accession So.   16405000114    (cent)

    disposal side of the system,  requiring  professional agricultural
    Judgement.
(OUT)  Output of model: The model prints the output in table  listing
    format pro- viding all the input data,  an annual summary  for  the
    storage ponds and the disposal area by  months.   It also provides
    the percentage control, potential and actual  disposal  days,  snow
    pack information, percent of  storage required for the  year,
    estimated evaporation and evapotransplration  data and  growing
    season lake evaporation for the site being investigated.
(APP)  Applications of model: The model allows the  user to check  a
    proposed design over a long time span of weather data  and identify
    the so-called "chronic" weather conditions which would cause
    overflow, it does not depend  upon a design storm concept. It
    allows regulatory analysis of design proposal and also can Identify
    the most effective management options to the  user.
(HDtt)  Computational system requirements -  Hardware: Mainframe IBM 360
    jDisc storage (or tape) 256K  ^Magnetic  tap Printer 132 position
    line printer jCard reader/punch or tape or disc (input)
(LNG)  computational system requirements -  Language(s) used:  Fortran
(OSK)  Computational system requirements: Operator  Knowledge/Skills:  Pro
    granting ;Sngineering
(WTP)  feater Models - Type of models Water  run-off
(ENV)  Environment(s) to which model applies: Lake  ;Stream/river
    ?Non-point Feedlot runoff, irrigation dis non-urban
(CON)  Processes and constituents included  in model: Hydrology
(CPL)  Complexity level of model: Steady state mass balance ;Multi
    dimensional
(REF)  References - User manuals, documentation/  etc.:
    Zovne, J.J. and J.K. Koelllker.  1979.   Application
    of Continuous  Watershed Modelling to Feedlot Runoff Management
    and Control.  EPA 600/2-79-065.  EPA, Ada, Oklahoma.
(ROR)  Responsible Organization:  Office of  Research and
    Development.Office of Environmental Processes and Effects
    Research.Robert G. Kerr Environmental Research  Laboratory.
                             1436

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                             Accession No.   16405000115

      Date of Questionaire: 12-02-82
(MAM)  Same of Data Base of Model:  Prediction of Mineral Quality  of
    Irrigation Return Flow
(ACR)  Acronym of Data Base or Model: None
(MED)  Media/Subject of Data Base or Model:  Water

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                             Accession No.   16405000115    (cont)

    chemical pro- perties of the soil profile; and a hydrologic balance
    of inflows and outflows of each node*
(OUT)  Output of model:  The model provides  statistical information on
    the quantity and quality of irrigation  return flows within each
    node.  This includes surface return flow and the percolation
    vertically through the soil profile.  This information is then used
    to deter- mine the impact of irrigation practices on the quality of
    sur- face and ground Mater resources.
(1PP)  Applications of model: The model allows us to better define and
    understand the relationship between irrigated agriculture and  the
    salt load- ing of streams.  When applied to an irrigated region of
    river basin, it will help to answer such questions as: (1) What
    effect Mould improved water-use efficiency have on irrigation
    return flow water quality?  (2) Would  a change to a higher
    efficiency increase or decrease salt loading?  (3) What influence
    would development of new irrigation projects have on the salt  load
    of surface and ground waters? (4) What  effect Mould canal lining
    have on salinity? and (5) What is the  effect of drainage systems on
    surface water salinity?  Such questions involve many com- plexitles
    and cannot be answered easily*
(HDM)  Computational system requirements -  Hardware: Mainframe IBM 360,
    CDC 6400, DEC 20 ^Disc storage (or tape) Magnetic tape storage (or
    disc) ^Printer 1200 baud printer jCard  reader/punch o
(LUG)  Computational system requirements -  Language(s) used: Fortran
(05IQ  Computational system requirements:  Operator Knowledge/Skills: Pro
    grawming ^Engineering
(8TP)  Mater Models - Type of model: Mater  quality
CENV)  Environments) to which model applies: Stream/river ;Non*-polnt-
    irtigated agriculture,- non-urban
(COM)  Processes and constituents included  in model: Sutrophication
    *f Salinity ^Hydrology
(CPL)  Complexity level of model: Steady state mass balance ;Multi
    dimensional
(REF)  References - Eser manuals, documentation, etc.:
    Hornsby, A.G.  1973.  Prediction Modeling for Sali-
    nity Control in Irrigation Return Flows.  EPA-R2-73-168, EPA,  Ada,
    Oklahoma.
                   walker, M.R.  1976.  Assessment of Irrigation  Return
    Flos Models.  EPA-600/2-76-219, EPA, RSKSRL, Ada, Oklahoma.
                   0-S.  Bureau of Reclamation.  1977.  Prediction  of
    Mineral Quality of Irrigation Return flow: Volume 1-Summary Report
    and Verification, Volume 2-Vernal Field Study, Volume 3-Sioiula-
    tion Model of Conjunctive Use and Hater Quality for a River
    Basin, folume 4-Data Analysis Utility  Programs, Volume 5-Detailed
    Return Flos* Salinity and Nutrient Simulation Model, EPA-600/2-77-
    179 a-ej- EPA, RSKSRL, Ada, Oklahoma.
(ROR)  Responsible Organization! Office of  Research and
    Development.office of Environmental Processes and Effects
    Research* Robert G, Kerr Environmental  Research Laboratory.
                             1488

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                             Accession No.   16405000116

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Rame of Cata Base of Model: Cattle Feedlot Runoff Reservoir
    Design Evaluation  Siroulatio
(ACR)  Acronym of Data Base or Model:  NONE
(MED)  fiedia/Subject of Data Base or Model:  Hater
(ABS)  Abstract/Overview of Data Base or Model:  The Cattle Feedlot
    Runoff Reservoir Design Evaluation Simulation and Economic
    Evaluation Models were develo- ped by Oregon State University for
    EPA.  These models can be used as one or the economic portion can
    be used separately.  The models Mere developed to design systems
    that would match structures to proposed  management techniques,
    regional climatic data and economic considerations.  The first,  the
    sufficient design pro- gram, is a simulation model which sizes
    feedlot runoff retention ponds based upon previous climatic data
    and management dewater- ing policies* In addition to minimum pond
    volume, the sufficient design model lists average number of yearly
    pumpings for each simulated management  alternative at a selected
    pumping rate. The economic portion uith  a budget generator,
    determines cost of open feedlot runoff control systems.  The models
    uere tested at seven selected locations  in the United States to
    determine the effects of five pumping rates and seven management
    deuatering alternatives on minimum storage volumes required to
    prevent dis- charges as defined by SPA Effluent Guidelines.
    Stations were selected from each major climatic region in the U.S.
    and repre- sented a broad spectrum of precipitation patterns.
(CTC)  CONTACTS: J. Ronald Miner
    Lac: Oregon State University, Corvallis, Oregon (503) 425-2041
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-27-83
(CAP)  Functional capabilities of model: These models are continuous
    simulation in nature written in Fortran  IV for simplicity and
    compatibility uith most machines.  The models use historical daily
    precipita- tions and temperatures to design runoff control systems
    for a particular feedlot at a particular location, this data is
    read from tapes provided by the National heather Service Climatic
    Center in Asheville, North Carolina.  The models use seven sets  of
    management alternatives for design and  two disposal policies for
    economic evaluation of the designs.
(ASM)  Basic assumptions of model: The design model portion assumes
    that runoff and snowmelt runoff can be  expressed by a mathematical
    equation along uith the designs of the pond.  The system assumes
    that all runoff in excess of the design  storm (25 year - 24 hour
    event) can be discharged.  The disposal  area is sized via the
    manage- ment options selected and the nitrogen content of the
    runoff water.  The economic portion uses two options: 1) nutrient
    util- ization, and 2) strict waste disposal.  It accounts for all
    cost based on 1977 dollars, but can be  updated as necessary.
(IMP)  Input to model: The models require climatological data for the
    site, selection of pumping rate, selection of a management policy,
    physical data regarding the feedlot and  disposal area and economic
    coefficients.
(OUT)  Output of model: The models provide  a printed output listing


                             1489

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                             Accession No.   16405000116     (cent)

  tretention pond size and pumping days required for each management
    option and at different pumping rates and the economic portion pro-
    vides the cost per head capacity for each option.
(APP)  Applications of model: These models are designed  to be used by
    consul- tants, agricultural service agencies and planning or
    regulatory groups to assist the producer in selecting the most
    economical system to meet the zero discharge standard.
(HOW)  Computational system requirements * Hardware: Mainfrane-CPC
    Cyber 7-IBM 360 jDisc storage-250K ^Magnetic t Printer-132 position
    line printer jCard reader/punch or tape/disc (input)
(LUG)  Computational system requirements - Language(s) used:  Fortran IV
CMTP)  Water Models - Type of model: Hater run-off
(ENV)  Environment(s) to which model applies: Lake ;Stream/river
    ;ilon-point Feedlot runoff, irrigation dis non-urban
(CON)  Processes and constituents included in model: Hydrology
(CPL)  Complexity level of model: Steady state mass balance >Multi
    dimensional
(REF)  References - User manuals/ documentation, etc*:
    Miner, J.R., R. B. Wensink, and R.M. McDowell.  1979.
    Design and Cost of Feedlot Runoff Control Facilities.  EPA
    600/2-79-707.
(ROR)  Pesponsible Organization: Office of Research and
    Development.Office of Environmental Processes and Effects
    Research.Robert G. Kerr Environmental Research Laboratory.
                             1490

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                             Accession No*   16406000109

(DQ)  Date of Questionaire: 12-02-82
(MAM)  Name of Data Base of Model: tidal Temperature Model

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                             Accession No.   16406000109    (cont)

    constituent concentrations at each junction, channel velocities,
    junction depths, and constituents at user specified periods.
(APP)  Applications of model: The Tidal Temperature Model has been used
    by the EPA Pacific Northwest Water Laboratory and has been applied
    to the Columbia River below the Bonneville Dan.  The model has also
    been used by the EPA in Massachusetts,  South Carolina, Florida,
    Oregon, and Washington. TECHNICAL CONTACT: Melvin 0. Hinson,  Jr.
    Quality of the Environment Division Resources for the Future  1755
    Massachusetts Avenue NH Washington, DC  20036 COM 703/462-4400
    Richard J. Callaway U.S. Environmental  Protection Agency Corvallis
    Environmental Research Laboratory 200 S.W. 35th Street Corvallis,
    Oregon 97330 FTS 420-4703 COM 503/757-4703
(HDK)  Computational system requirements -  Hardware: Mainframe any
    digital computer ;Disc storage 50,000 words ma
(LMG)  Computational system requirements -  Language(s) used: Fortran  IV
(OSK)  Computational system requirenents: Operator Knowledge/Skills:  Pro
    grairming ;one environmental engineer experienced in hydro and  water
    quality monitoring.
(fcfTP)  Water Models - Type of model: Water  quality
(ENV)  Environment(s) to which model applies: Estuary ;Stream/river
    }Wetlands
(CON)  Processes and constituents included  in model: Temperature
    ;Hydro logy
(CPL)  Complexity level of model: one dimensional
(REF)  References - User manuals, documentation, etc.:
    Call away, R.J. and K.V. Byram.  "Mathematical
    Model of the Columbia River from the Pacific Ocean to
    Bonneville Dam, Part II:  Input-Output  and Initial
    Verification Procedures."  Report by U.S. EPA Pacific
    Northwest Water Laboratory, Corvallis,  Oregon, 1971.
    Callaway, R.J., K.V. Byram, and G.R. Ditsworth.
    "Mathematical Model of the Columbia River from the Pacific
    Ocean to Bonneville Dam, Part I.  Theory, Program Notes
    and Programs."  Report by FMQA Pacific  Northwest Hater
    Laboratory, Corvallis, Oregon, 1969,*

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                             Accession No.   16406000110

(DQ)  Date of Questionairei  12-02-82
(NAM)  Name of Data Base of Model:  M.I.T.  Transient Mater Quality
    Network Model
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model:  Water
(ABS)  Abstract/Overview of Data Base or Model:  The M.I.T« Transient
    Hater Quality Network Model is a one-dimensional, real-time,
    nitrogen cycle model which can be used for nitrogen-limited/
    aercbic estuarine systems.  The model solves one-dimensional
    continuity and momentum equations to generate the temporal and
    spatial variations in the tidal discharges and elevations.  This
    information is used in the solution of the conservation of mass
    equations for the water quality variables/ which include salinity*
    temperature*- carbonaceous BOD/ nitrogen cycle variables* DO*  and
    fecal coliform.  The model combines the work of many investigators
    and has undergone a great deal of modification.  It uas originally
    developed at the Ralph M. Parsons Laboratory for Water Resources
    and Hydrodynamics at the Massachusetts institute of Technology* and
    its broadest application has been the St. Lawrence River and
    Estuary.  The model is intended to be used in engineering decisions
    regarding the degree of eutrophication due to distributed and point
    source loadings in estuaries.
* Zooplankton-N^  6)
    N(6)* Particulate Organic-N* and 7) N(7)* Dissolved Qrganic-K.  The
    transformations includes
    1) nitrification* 2) uptake of inorganic nitrogen by
    phytop lank ton* 3) grazing of herbivores* 4) airaonia regeneration in
    living cells, 5) release of organic matter from living cells* 6)
    natural death of living organisms* and 7) ammonification of organic
    nitrogen. The user can specify a branching and or looping network
    of channels called reaches where each reach can be of variable
    cross-section along its longitudinal axis. Storage volumes are
    provided for along the reach and any number of concentrated or
    distributed water quality loadings can be specified along each
    reach.  The flow regime can be that of an estuarine system with an
    unsteady tidal elevation driving the circulation at the ocean
    boundaries in combination with the upstream flow* For subcritical
    flow* three possible boundary conditions can be specified* and
    these are:  1) the Discharge Q*
    2) the surface elevation Z* and 3) a relationship between
    Z and Q.  The model can simulate control structures within the


                             1493

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                             Accession So.  16406000110    Ccont)

    network Itself instead of only at the boundaries* and the user is
    permitted to specify a boundary condition at the upstream side of
    the control structure*  Three possible boundary conditions
    (concentration, dispersion flux, and total flux) and a special
    ocean boundary procedure are provided.
IASM)  Basic assumptions of model: The M.I.T, Transient Mater Quality
    Setaork Model defines the geometry of the Hater body along a
    particular reach by interpolation between the cross-sectional data
    submitted by the user.  The model pays strict adherence to the mass
    conservation principle as applied to the element nitrogen, and its
    ecosystem model is coupled with a real-time hydrodynaraic transport
    system as opposed to a tidal-average or slack-tide approximation.
    The structure of the model was formulated such that the level of
    complexity Mould not be too complex to the point of diminishing
    returns, nor too simplified to the point where rate-governing
    parameters must be determined by curve fitting the available field
    data.  Carbonaceous BOD is handled as a first order decaying
    substance in the classical manner.
CINP)  Input to model: Input data is divided into nine groups.  Card
    Group A includes information regarding solution options. Here it is
    stipulated shich solutions (hydraulic and water quality) will be
    executed and «hich uater quality parameters Mill be modeled.  Tine
    parameters stipulating the duration of the run and the tine step of
    integration, and the network topology (identification and sequence
    of reaches) is also provided. Card Group B provides the geometric
    information (i.e., the physical properties of the channel), and the
    computational mesh spacing and initial conditions required for the
    hydraulic solution*  This group is repeated for each reach as given'
    in Group A. Card Group C provides values of rate coefficients for
    those water quality parameters being modeled.  The coefficients nay
    be specified for the entire network or may be specified for each
    individual reach.  If the user does not wish to specify values, the
    program will automatically use default values.  In this card group,
    the computational mesh spacing for uater quality calculations and
    initial conditions for uater quality parameters are also specified.
    Card Group D describes the location, magnitude and quality of any
    lateral inflows being considered. Lateral inflows are considered
    for both the hydraulic and uater quality solutions.  Card Group E
    describes the same information for any injections (e.g. sewage
    treatment plant or waste heat discharge) of uater quality
    parameters,  injections are considered only in the water quality
    solution*  For hydraulic purposes they are considered passive, that
    is, they have no effect on the flou field in the receiving water*
    Card Group ¥ stipulates the hydraulic boundary conditions to be
    applied at each node. Card Group G allows the user to selectively
    view output from the hydraulic solution.  Card Group H stipulates
    the water quality boundary conditions to be applied at each node in
    the network, and Card Group I allows the user to selectively view
    output for the Mater quality solution*  The sequence of the input
    cards is important to note.  Certain card groups (D,S,F,G,H,I) for
    particular cases must be repeated several times corresponding to
    the number of periods for which the solution is executed.


                             1494

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                             accession No.   16406000110    (cont)

(DDT)  Output of model; The large volume of numerical information
    generated by the computer is conveniently represented in graphical
    forn.  A plotting program is available  for use on an incremental
    drum plotter.   The output for the hydraulic solution can be
    requested in two forms:
    1) a hydrograph which displays the parameters at a given
    mesh point as a function of time, and 2) a hydraulic profile which
    displays the parameters at a given time as a function of distance.
    The hydraulic parameters displayed are  surface elevation, depth,
    discharge, and velocity.  Output for the water quality solution
    also may be displayed in two forms;  1) water quality graphs,  i.e.,
    parameters as a function of time, and 2) water quality profiles,
    i.e., parameters as a function of distance.  Special features
    permit the user to plot several variables on the same frame and
    also to plot user-supplied data points  as special symbols*

(OSK)  Computational system requirements: Operator Knowledge/Skills:  «nv
    ironraental engineer with experience in  computer  modeling
(WTP)  Kater Models - Type of model: Hater  quality
(ENV)  Environment(s) to which model applies: Estuary
(CDS)  Processes and constituents included  in model: Eutrophication
(CPL)  Complexity level of model: steady state mass balance
       References - User manuals, documentation, etc.:
    Chob, V.T., Open Channel Hydraulics,
    McGraw Hill, N.Y., 1959.
    Dailey, J.E. and ftarleman, D.8.F., "Numerical Model for
    the Prediction of Transient Hater Quality in Estuary
    Networks," Technical Report No. 158, R.M. Parsons
    Laboratory for Water Resources and Hydrodynamics,
    Department of Civil Engineering, M.I.T., October 1972.
    Gunaratrmm, D.J. and Perkins, F.E., "Numerical Solution
    of Unsteady Flows in Open Channels," Technical Report
    No. 127, R.M. Parsons Laboratory for Mater Resources
    and Hydrodynamics, Department of Civil  Engineering,
    M.I.T., July 1970.
    Harleman, D.R.F., Brocard, D.N. Kajarian, T.O., "A
    Predictive Model for Transient Temperature Distributions


                             1495

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                             Accession No.   16406000110    (cont)

    in Unsteady Flows,11 Technical Report Mo-  175,, P.M.  Parsons
    Laboratory for Water Resources and Hydrodynamics,
    Department of Civil Engineering,  H»I»T.,  November 1973.
    Harleman/  D.R.F.  and Thatcher, M»L», "Longitudinal
    Dispersion and Unsteady Salinity  Intrusion in Estuaries/"
    La Houille Blanche/Mo.  1/2 - 1974.
    Hendersons F.M. Open Channel Flow, HacMillan Co.
    N.Y.,  1966.
    Larsen,  P.A., "Hydraulic Roughness of Ice Covers,*1
    JHD, ASCE  99, HVI,  January 1973.
    Najarian,  T.O. and  Harleman, D.R.F., "A Real Time
    Model  of Nitrogen-Cycle Dynamics  in an Sstuarine System/"
    Technical  Report  No. 204, R.H. Parsons Laboratory for
    Hater  Resources and Hydrodynamics/ Department of Civil
    Engineering,  M.I.T., July/ 1975.
    Surveyer,  Nenniger  & Chenevert, Inc. and Carrier/
    Trottier,  Aubin,  "Hydrodynamlc and Water Quality
    Simulation Model:   Cornuall-Montmagny Section," Report
    to tepartment of  Environment/ Canada/ March 1973.
    Surveyer/  Nenniger  & Chenevert/ Inc., and Carrier,
    Trottier,  Aubin;  (in French) "Hydrodynaraic and Water
    Quality  Simulation  Model:  Cornyall-Montmagy Section/11
    Report to  Service de Protection de 1'Environment Quebec/
    March  1974.
    Thatcher/  M.L. and  Harleznan/ D.R.F./ "Mathematical
    Model  for  the Prediction of Unsteady Salinity intrusion
    in Estuaries," Technical Report No. 144/  R.N. Parsons
    Laboratory for Water Resources and Hydrodynamics/
    Department of Civil Engineering/  M.I.T./  February 1972.
    Thatcher,  M.L., Pearson/ H.W., and Mayor-Mora/ R.E./
    "Application of a Dynamic Network Model to Hydraulic and
    Water  Quality Studies of the St.  Lawrence River/11 2nd
    Annual Symposium  of the Waterways/ Harbours and Coastal
    Engineering Division/ ASCE/ San Francisco, September 1975.
    Harleman/  D.R.F., Dailey, J.E., and Thatcher, H.L.,
    Najarian,  T.O./ Brocard/ D.N./ and R.A* Ferrara/ "User's
    Manual for the M.I.T. Transient Water Quality Network
    Model/"  Report for  U.S. Environmental Protection Agency/
    Office of  Research  and Development/ Corvallis Environmental
    Research Laboratory/ Corvallis/ Oregon.  U.S. EPA
    Publication EPA-600/3-77-010/ January 1977.
(RQR)  Responsible Organization: Office of Research and
    Development.Offlee  of Environmental Processes and Effects
    Research.Environmental Research Laboratory.
                             1496

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                             Accession Mo.   16406000111

(DQ)  Dete of Questionaire:  12-02-82
(NAM)  Same of Data Base of Model:  Enhanced Hydrodynamical-Numerlcal
    Model for Hear Shore Proc«
(ACR)  JScronym of Data Base or Model:  HN
(MED)  tfedia/Subject of Data Base or Model! Water
(ABS)  Abstract/Overview of Data Base or Model:  The Hansen type
    multilayer hydrodynamical- Numerical (HI)  model described by Bauer
    has been used successfully to study the dynamics of  numerous
    coastal areas*  The optimized version of the HN model combines the
    vertically integrated single layer HN model  originally developed  by
    Professor W. Hansen, University of Hamburg,Germany, and the
    multilayer multiple-open boundary HN model proposed  by Hansen and
    developed by Dr. T- Laevastu.
(CTC)  CONTACTS: Richard J.  Callauay U.S. EPA, Corvallis Research Lab,
    Marin Freshwater Ecology Branch
    Loc: 200 Southwest 35th St.  Ph: (503)  757-4703
    Loc: Corvallis, Oregon 97330
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-25-83
(CAP)  Functional capabilities of model: The enhanced HN model
    simulates near-shore currents and exchange processes. Enhancements
    to the multilayer Hansen type Hydrodynamical- Numerical model
    include:  non-linear tern extension to facilitate snail-mesh
    studies of the near-shore, including river dynamics; layer
    disappearance extension to enable appropriate procedures in tidal
    flat and marshy regions, as well as some down/upwelling cases;
    thermal advection enhancement for treatment  of thermal pollution
    cases by method of moments coupled with heat budget  procedures for
    dynamic plume development experiments;  and Monte Carlo diffusion
    enhancement to deal with dispersion via statistical  methods and
    comparison to the method of moments experiments.
(ASH)  Basic assumptions of model:  The Hydrodynamical-Numerical model
    is an explicit numerical difference scheme based on  leap- frog
    integration of the two dimensional Eulerian  form of  the
    hydrodynamical equations through time to obtain a dynamical
    boundary-value solution of tidal order. Advection is simulated by
    the method of moments, a guasi-Lagrangian method which maintains
    information on the zeroth, first and second  order moments of the
    concentration in each cell of the grid mesh.  In order to introduce
    the random element for utilization of Monte  Carlo methods, the
    total velocity for a particular fluid particle is assumed to be
    composed of a mean flow velocity component and a turbulent flux
    velocity component. The HM model provides the mean flow velocity
    and the Monte Carlo scheme provides the turbulent flux velocity.
    Dispersion is thus modeled by simulating the diffusion process
    stochastically within the background fluid in motion.  The
    Pedersen-Prahm thermal advection scheme has  been chosen since it  Is
    a conservative scheme without the pseudo-diffusion of Eulerian
    difference methods.  In order to model the heat budget effects on
    the thermal discharge as it is transported by the currents
    throughout the region, the Laevastu thermal  techniques were
    selected.


                             1497

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                             Accession No.   16406000111    (cont)

(INP)  Input to model: Input to the HN model include grid and mesh
    size; system geometry,/ bathymetry* and boundaries; average
    latitude; Coriolis factor/ tidal data;  wind values; outfall sources
    and sinks; storm surge, and river inflow.  Control cards and
    library directives are necessary for the selection of subroutines*
(OUT)  Output of model: Output provided by the model include computer
    printouts of the input variables and contour plots,
(APP)  Applications of model: The enhanced HN model has been applied by
    the EPA to Prudhoe Bay/ and a section of the coastal area of the
    Beaufort Sea/ Alaska/ and the San Onofre outfall in California.
    The model can be used to evaluate the advection and dispersion of
    constituents In near shore coastal uaters.
(HDW)  Computational system requirements - Hardware: Mainframe CDC 3300
    and CDC 6500 ;Printer
(OSK)  Computational system requirements: Operator Knowledge/Skills: exp
    erience in environmental modeling and an understanding  o
CHTP)  Jsfater Models - Type of model: Water quality

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                         Accession No.   16406000111    (cont)

Laevastu, T.  A Multilayer Hydrodynacnical-Kumerical
Model (¥. Hansen Type)/ Model Description and Operation/
Running Instructions.  Part 2 of a series of four
reports.  ENVPREDRSCHFAC Technical Note No. 2-74,
Environmental Prediction Research Facility, Monterey,
California, 1974.
Laevastu, T. in collaboration with M, Clancy and A.
Stroud.  Computation of Tides, Currents, and Dispersal
of Pollutants in Lower Bay and Approaches to Net* York
with Fine and Medium Grid size Hydrodynaroical-Muaerical
Models.  Part 3 of a series of four reports.
ENVPREDRSCHFAC Technical Note No. 3-74, Environmental
Prediction Research Facility, Monterey, California,
1974.
Laevastu, T. and R. Call aw ay in collaboration tfith A.
Stroud and K. Clancy.  Computation of Tides, Currents
and Dispersal of Pollutants in New York Bight from Block
Island to Atlantic City aith Large Grid Size, Single
and Two Layer Hydrodynamical-Numerical Models.  Part
4 of a series of four reports.  ENVPREDRSCHFAC Technical
Note Mo. 4-74, Environmental Prediction Research Facility,
Monterey, California, 1974,
Laevastu, T, and G.D. Hamilton.  Computations of
Real-Time Currents Off Southern California With Multilayer
Hydrodynamical-Numerical Models with Several Open
Boundaries.  ENVPRSDRSCHFAC Technical Paper No, 10-74.
Pedersen, L.B. and L-P. Prahm.  A Method for Numerical
Solution of the Advection Equation eC/et=V. VC,
Meteorological institute of Denmark, as submitted
to TELLUS, August, 1973.
Laevastu, T. and J.M- Harding. "Numerical Analysis and
Forecasting of Surface Air Temperature and ^ater Vapor
pressure,"  Journal of Geophysical Research, 79(30):
4478-4480, 1974.
Stroud, A.D. and Bauer, R.A. User Guide for the
Enhanced Hydrodynafflical-Sumerical Model.  In Press.
Prepared by Compass Systems, Inc., San Diego, California,
for Corvallis Environmental Research Laboratory, Office
of Research and Development, U.S. Environmental Protection
Agency, Corvallis, Oregon, under EPA Contract
No. 68-03-2225.
Young, Chen-Shyong.  Thermal Discharges into the Coastal
Waters of Southern California.  Southern California
Coastal Water Research Project (SCCWRP), Los Angeles,
California, 1971.
Haier-Reimer, E. Numerical treatment of Horizontal
Diffusion and Transport Phenomena in Marine Basins of
Large Size, Institut fur Meereskunde der Universitat
Hamburg, Hamburg, West Germany, as presented at IAMPA/IAPSO
Assembly, Melbourne, Australia, January, 1974.
Thompson, R. Numerical Calculation of Turbulent
Diffusion.  Quart, J.R. Met. Soc. 97(411)s93-98,
                         1499

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                             Accession  No-   16406000111     (cont)

    1971.
(RQP)  Responsible Organization:  Office of  Research  and
    Development.Office of Environmental Processes  and  Effects
    Research.Environmental Research Laboratory.
                             1500

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                             Accession No.   16406000112

(BQ)  Date of Questionaire: 12-02-82
(NAM)  Kame of Data Base of Model:  Aqueous  Chemical Equilibrium Model
(ACR)  Acronym of Data Base or Model:  REDEQLEPAK
(MED)  Media/Subject of Data Base or Model: Water
CABS)  abstract/Overview of Data Base or Model:  The cheoical
    equilibrium model (REDEQL.EPAK) computes aqueous equilibria for up
    to 20 metals and 30 ligands in a system.  The metals and ligands
    are selected from a list of 35 metals and 59 ligands for uhich
    ther mo dynamic data for complexes and solids have been stored in a
    data file.  The equilibria uhich the program considers include
    complexation, precipitation, oxidation-reduction, and pH-dependent
    phenomena. A user's guide for this computer program uas published
    by EPA in February 1978 and a modified  version of the program uas
    published in May 1980.  The later version includes temperature
    corrections for equilibrium constants and activity coefficients,
    calculation of degree of saturation for selected solids, and
    theoretical attainment of an electrically neutral solution for a
    more realistic system.  An adsorption model (surface conplexation)
    is also included in the later version.
(CTC)  COKTACTSS Don Schults
    Loc: EPA, Marine Science Center, Newport, Oregon 97365
    (503) 867-4039
(STA)  Data Base status: Operational/Ongoing
(DP)  Date of form completion: 01-25-83
(CAP)  Functional capabilities of model; The REDECL.EPAK program is
    designed to compute chemical equilibria involving solids/
    complexes, oxi-dation- reduction and mixed solids in an aqueous
    system.  The inputs for the program are the total concentrations of
    metals and ligands in the system, including quantities in solids
    and gas phases if these are allowed to  interact with the aqueous
    system.  Computation is based on thermodynamic data contained in
    the data file.  Tuo major limitations exist with the model: (1) the
    program is for equilibrium; kinetics of dissolution, precipitation
    and oxidation-reduction are not considered and (2) the program is
    no better than the analytical and thermodynamic data that is used.
(ASM)  Basic assumptions of model: The program assumes the system Is at
    chemical equilibrium at the specific conditions established by the
    data input.  Kinetics are not considered in determining
    equilibrium. It's assumed that the system is strictly chemical and
    there is no biological component uhich  will influence the chemistry.
(INP)  input to model: Input to the program includes: total
    concentration of metal and ligands in the system, including
    quantities in solid and gas phases if these are allowed to interact
    with the aqueous system, the pH and the oxidation-reduction
    potential of the system. Up to 10 cases of different total
    concentrations for a set of metals and  ligands can be treated by
    the program in one run.
(OUT)  Output of model: The output of the program are the speciation of
    the metals and ligands and their concentration in various forms and
    combinations. The first page of output  is the input thermodynamic
    data corrected to the ionic strength and temperature used*  The
    second page describes the input data read into the computer,  the


                             1501

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                             Accession Ho.   16406000112    (cont)

    next page Is the case progress giving the total and free
    concentration of all species and the total amount of solids and
    mixed solids in one liter of solution,   the concentration of all
    metal species and associated ligands and the concentration of
    complexes is reported.  The percent distribution of metal and
    ligand species is also reported*
(APP)  Applications of model; This computer program calculates the
    chemical equilibrium for metals and ligands in an aquatic system.
    The program has been used to determine  Cu complexing capacity  of
    natural waters, calculate metal speciation in soil/water systems,
    account for the fate of trace metals in ocean discharge/ assess the
    sorption and leaching of heavy metals in ground&ater and relate
    species of Cu to toxicity.  The program has been used by EPA,
    universities, industrial and consulting firms.
(HDIO  Computational system requirements -  Hardware: Mainframe-IBM
    360/370 jDisc storage-4000 blocks (80 column b Printer-132 position
    line printer jCard reader/punch
CLNG)  Computational system requirements -  Language(s) usedi Fortran  IV
(OSK)  Computational system requirements: Operator Knosledge/skillss  Oth
    er-Physical sciences
(WTP)  Water Models - Type of models Mater  quality
(ENV)  Environments) to which model applies: Estuary /Lake
    jStream/rlver ^Marine
(CON)  Processes and constituents included  in model: Dissolved oxygen
    (Recox) ;Toxic chemicals (inorganic) ?Tempe
CCPL)  Complexity level of models Steady state mass balance
(REP)  References - User manuals, documentation, etc.;
    Ingle, S.E., et« al., A User's Guide to REOEQL.EPAK,
    A Computer Program for Chemical Equilibria in Aqueous Systems.
    OSEPA Corvallis Environmental Research  Lab., EPA-600/3-78-024,
    KTIS PB280 149/6BE, Corvallis, OR (1978).
    Ingle, S*E., et* al,, REDEQL.EPAK, Aqueous Chemical Equilibrium
    Computer Program, USEPA Corvallis Environmental Research Lab.,
    EPA-6QO/3-80-049, Corvallis, OR (1980).
    McOuff, R»E» and P.M. Morel*  Description and Use of the Chemical
    Equilibrium Program, REDEQL 2, Keck Lab. Tech* Repr. EQ-73-02,
    Calif. Inst. Tech. Pasadena, CA (1973).
    Morel, F. and J.J* Morgan.  A Numerical Method for Computing
    Equilibrium in Aqueous Chemical Systems.  Environmental Sci« Tech.
    6:58-67 (1972).
    Morel, FB, et. al.  Fate of trace metals in Los Angeles
    County waste water discharge. Environ.  Sci. Tech. 9:756-761 (1975).
    Theis, T.L. and  R,0. Richter.  Chemical speciation of heavy metals
    in power plant ash pond leachate: Environ. Sci. Tech. 13:219-224
    (1979).
    McCrady, J,K. and G.A. Chapman.  Determination of copper complexing
    capacity of natural river water, well water, and artificially
    reconstituted water.  Mater Research 13:143-150 (1979).
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects
    Research.Environmental Research Laboratory.
                             1502

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                             accession No.   16407000102

(DQ)  Date of Questionaires 12-02-82
(NAM)  Name of Data Base of Model:  Water Quality Modeling System fot
    the Great Lakes
(ACR)  Acronym of Data Base or Model; WQMSGL
(MSD)  Media/Subject of Data Base or Model:  Toxic substances ;Water
(ABS)  Abstract/Overview of Data Base or Model:  The Water Quality
    Modeling System for the Great Lakes consists of three subsystems
    which when applied together allow the user to develop,, calibrate
    and verify water quality models for aquatic  systems.  Although the
    system was developed to serve EPA's research mandates for the Great
    Lakes, it has general applicability to any water system/ (i.e.;
    rivers, estuaries, small lakes, and coastal).  Also, the systera can
    be applied to most any water quality problem, constituent, or their
    interactions.
(CTC)  CONTACTS: William L. Richardson    U.S. EPA, Office of Research
    and
    Development, Environmental Research Lab, Duluth, MS
    Loc: 9311 Groh Rd., Grosse lie, Michigan 48138   Phi (313) 226-7811
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-28-83

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                             accession So.   16407000102    (cont)

    the order of weeks to seasons up to decades (although smaller time
    scales could be considered). DASA - It  is assumed that data are
    available through a research or surveillance program over the
    period of time corresponding to the scale of the problem and
    recorded by geographical locations (station, depth), time (Year,
    month, day/, hour}/' and collected and analyzed according to
    prescribed quality control program. MVP - It is assumed that enough
    date exists to statistically characterize the model state variables
    in irany of the water segments over the  time scale of the problem.
CISP)  Input to model; HASP - Physical characteristics of water body,
    material loads, environmental factors affecting the system
    variables (i.e.; sunlight, intensity, and temperature)^ boundary
    conditions, initial conditions, model coefficients (ie; growth
    rates, degradation rates, etc.) DASA -  Concentration or other
    appropriate units connected with measurements made and input
    directly from terminal or cards or from direct link to STORET. MVP
    - Mean, standard deviation* and number  for each model
    constltuent-segment-cruise combination  from DASA or input directly
    to output files from it!ASP of calculated eoncentrations-
    segnent-cruise combination corresponding to field measurements*
(OUT)  Output of models OUTPUT - Concentration of each state variable
    in each model segment at any tine increment desires about the model
    input and other model coefficients derivatives, or other model
    variables can be specified by the user* OUTPUT - Data sets in WASP
    graphics or MVP input formats. Printouts of seasonal or cruise
    statistics*  Spatial plots of concentrations at measurement points,
    histograms, raw data versus time, mean  and standard deviation
    versus time, regression of two parameters.. OUTPUT - Relative error
    model compared to data* T-statistics for model versus data.
    Regression statistics for model versus  data.
(APP)  Applications of model: NAME AND SUMMARY LAKE I Eutrophication
    Model, developed for Lake Ontario for 3 vertical layers^ and also
    applied to Lake Michigan and Saginaa Bay. State variables include
    phytoplankton chlorophyll, zooplankton  carbon, three forms of
    nitrogen, sampling organics, available  phosphorus.  References?
    Thomann, R.V., D.M. DiToro, R.P. Minfield, and D.J. O'Connor,
    Mathematical Modeling of Phytoplankton  in Lake Ontario, Vol. Is
    Model Development and Verification.  U.S. Environmental Protection
    Agency, Corvallis, Oregon, 660/3-75-005, March, 1975, Thomann,
    R.V., R.P, Winfield* D.M. Diforo, and D.J. O'Connor, Mathematical
    Modeling of Phytoplankton in Lake Ontario, Vol. 2:  Simulations
    Osing LAKE-I Model.  U.S. Environmental Protection Agency, Duluth,
    Minnesota.  In press. LAKE III three dimensional, 67-segment
    version of LAKE-1 for Lake Ontario* HUR01 A refined version of
    LAKE-1 applied to 5 segment of Lake Huron with improved nutrient
    recycle kinetics.  References! DiToro,  D.M. et al.  1980.
    Mathematical Models of Water Quality in Large Lakes; Part Is  Lake
    Huron and Saginau Bay, EPA Ecological Series.  In Press. ER01 Major
    revision to Lake 1 and applied to 10 segments in Lake Erie.
    Improved kinetics include: Division of  Chlorophyll between Diatoms
    and non-diatoms, Silica as limiting nutrient, Carbon cycle and
    alkalinity, Dissolved Oxygen. REFERENCES Diforo, D.M. and John P.


                             1504

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                             Accession No.   16407000102    (cont)

    Connolly.   1930.   Mathematical Models of Water Quality In Large
    Lakes.  EPA Ecological Research Secies.   In press.  Cons Simple
    subroutine for tracing a conservative or 1st order  reacting
    substance in a system.  Applied to Saginaw Bay.
(HDW)  Computational system requirements - Hardware: Mainframe DEC-PDF
    11/45 IBM 370/168 jDlsc storage 2000 block Printer
(LNG)  Computational system requirements - Language(s)  used:  Fortran
Quality
    processes
(CPL)  Complexity level of model: transient mass balance ;one
    dimensional ;multi dimensional

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                             Accession No,   16407000105

(DQ)  Date of Questionaire; 12-02-82
(NAM)  Jiarae of Data Base of Models Spatially Segmented Phytoplankton
    Model
- fixing blue-greens, N<2>~fixing blue-greens, and
    "others". An internal nutrient pool kinetics mechanism is included
    to describe phytoplankton nutrient uptake and growth.  Zooplankton
    are included, and are partitioned into  two functional groups:
    herbivorous and carnivorous*,  Compartments are included for total
    concentrations of phosphorus, nitrogen, and silicon in the
    sediments.  Sediment-water interactions for these nutrients are
    described using a Hind-driven resuspenaion mechanism.  The model is
    spatially-segmented in the horizontal.
(CTC)  CONTACTS? Victor J. Bierraan   SPA Office of Research and
    Development
    Loc: Environmental Research Lab-$arragansett, South Ferry Rd.,
    Narragansett, RI Q2882f Ph; (401) 789-1071
(STA)  Data Base status: Operational/ongoing
(DF)  Date of form completion! 02-11-83
(CAP)  Functional capabilities of model; The model includes 28 state
    variables for each spatial segment*  Up to five horizontal spatial
    segments can be included.  The model is not segmented in the
    vertical.  Values for advective flows and dispersions, nutrient
    loads, light, temperature, and boundary conditions must be
    specified externally*  the raodel is typically run for a one year
    simulation, although both larger and shorter simulations can be
    conducted.  Results of a T-test analysis betaeen modal output and
    field data for Saginaa Bay, Lake Huron, indicated that the model
    described the field data to an accuracy of approximately 85 percent.
(ASM)  Basic assumptions of model: The model is based on the principle
    of mass balance for each of the 28 constituents in each segment.
    The model is coded in FORTRAN and consists of a series of ordinary,
    non-linear, simultaneous differential equations.  An Adams- Moulton
    predictor-corrector technique is used to solve the equations
    numerically.  Typical time steps used are 30 minutes for the
    nutrient equations and 3 hours for the  phytoplankton equations.
(ISP)  Input to model: To run the model, values for advective flows and
    dispersions, nutrient loads, light, temperature, and boundary
    conditions must be specified as input.   To calibrate the model,
    segment averages of individual sampling station concentrations are
    needed for each state variable for the  time period of interest.
(OUT)  Output of model: The model can produce line printer output
    consisting of all values for state variables and values for
    individual component terms in each differential equation.  This can
    be done at daily or five-day intervals,  fhe Rodel also can produce
    a summary data file on a disk which contains values for all state
    variables at five-day intervals.  This  file can be used off-line to


                             1506

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                             Accession So.   16407000105    (cont)

    produce graphical output.  A graphics program is available aith the
    model for producing overlay plots of model output and field data*
(APR)  Applications of models The model has been calibrated to two
    extensive sets of field data for Saginaw Bay, Lake Huron,/  acquired
    during 1974 and 1975.   The calibrated model was used to generate a
    series of phosphorus load reduction simulations.  Results  of these
    simulations are being compared to the outcome of a follow- up  field
    survey conducted on Saginaa Bay in 1980s
(HDW)  Computational system requirements - Hardwares Mainframe Univac
    1110, PDF 11/45/ or POP 11/70 > Disc storage 64K words } Printer
    132 column model
(LNG)  Computational system requirements - Language(s) used: Fortran
(QSK)  Computational system requirements: Operator Knowledge/Skills! Eng
    ineering /operator must have applications experience with
    simulation models; scientific programming.
(HTP)  later Models - Type of model: Water quality
<£NV)  Environment(s) to which model applies: Estuary ;Lake ;Embayment
(COM)  Processes and constituents included in model: Eutrophication
    ;Temperature ^Biological effects jfiydrology ;
(CPL)  Complexity level of model: transient mass balance ;multi
    dimensional
(REF)  References - User manuals/ documentation/ etc.:
    There does not exist a User's Manual at this time.
    The development and calibration of a single segment version of
    the model/ including all equations and coefficients appears
    in:
    Bier man/ V.J./ Jr./ DoIan/ D.M.,/ Stoermer/ E.F./ Gannon/ J.E.
    and Smith/ Y.E.  1980.  The development and calibration of a
    spatially simplified multi-class phytoplankton model for
    Saginau Bay/ Lake Huron.  Great Lakes Environmental Planning Study/
    Contribution No.33, Great Lakes Basin Commission/ Ann Arbor/ Mich.#
    Results of phosphorus load reduction simulations with the
    spatially segmented version appear ins
    Bierman/ V.J./ Jr, and Oolan/ D.M.  1930.  Responses of Saginau
    Bay/ Lake Huron/ to reductions in phosphorus loadings from the
    Saginaw River.  Report prepared for the International Joint
    Commission. Bierman/ V.J. and Dolan/ D.M. 1981, Modeling the
    phytoplankton- nutrient dynamics in Saginaw Bay/ Lake Huron.  J«
    Great Lakes Res./ Vol.7/ pp« 409-439*,
(CNM)  Contact name(s): Bierman/V«J*
(COR)  Contact organization: EPA Office of Research and Development Phs
    (401) 789-1071
(ROR)  Responsible Organizations Office of Research and
    Development.Qffice of Environmental Processes and Effects
    Research.Environmental Research Laboratory.
                             1507

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                             Accession No.   16407000106

(DQ)  Date of Questionalre: 12-02-82
(NAM)  Name of Data Base of Model:  Time-dependent, Three-dimensional,
    Variable-density Hydrodyn
(ACR)  Acronym of Data Base or Model: None
(MED)  Media/Subject of Data Base or Model:  Hater
(ABS)  Abstract/Overview of Data Base or Model:  The tine-dependent,
    three-dimensional, variable-density hydrodynawic model was
    developed to describe the motion in thermal  discharges/ harbors,
    bays, lake basins, entire lakes, estuaries.  Marine coastal areas,
    etc.  The model calculates velocities and temperature (salinity,
    also, if required) as a coupled set of  time-dependent, non-linear
    partial differential equations.  The results of the model can be
    used as input to a transport model (described separately).  The
    model has various versions (user specified)  such that the
    calculations can be performed with the  water surface treated as a
    rigid-lid or as a free-surface, and with the bottom boundary
    condition specified either as no-slip or slip*
(CTC)  CONTACTS: Dr. John F. Paul    SPA Office  of Research and
    Development
    Loc: Environmental Research Laboratory-Narragansett, South Ferry
    Rd,,# Narragansett, RI  02882#  Ph: (401) 789-1071
(CAP)  Functional capabilities of model: The model is fully
    time-dependent and three-dimensional.  The spatial resolution is up
    to the discretion of the modeler and the time step restrictions are
    dependent on the individual application*  The Coriolis, pressure
    and vertical diffusion terms in the equations are calculated
    implicitly in time, so no time  step stability restriction applies
    to them.  The other terms are calculated explicitly.  The momentum
    and energy (and salinity) equations are coupled. Various
    combinations of boundary conditions can be used at the discretion
    of the modeler.  Conservation-preserving finite- difference
    techniques are used.
(ASM)  Basic assumptions of model:  The equations are derived from the
    time- dependent, three-dimensional equations for conservation of
    mass, momentum, energy and salinity*  The principal assumptions
    are:
    1) hydrostatic pressure variation; 2) rigid-lid or linearized
    free-surface approximation; 3)  eddy coefficients to account for
    turbulent diffusion effects.  The program for the model is modular
    in form so the last condition can be modified to account for
    various turbulence modeling schemes.  The solution procedure is a
    modification of the simplified marker and cell technique.
(INP)  Input to model: Input to the model includes:  complete
    specification of geometry and grid layout, topography and forcing
    functions. The latter includes wind (constant or spatial and
    temporal varying), inflows/outflows and heat specification at water
    surface.  The initial conditions can be quiescent conditions, some
    user specified form, or results from a previous calculation.
(OUT)  Output of model: The basic output of the  program is a printed
    record of velocities, temperature, salinity and pressure, as
    desired. If results are stored (disc or tape), separate programs
    are available to produce graphic output on either Tektronix,


                             1508

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                             Accession No.   16407000106    (cent)

    Versatee,  or Calcomp equipment.  The plots available include tine
    series of  variables, and horizontal and vertical section plots of
    the variables*
(AFP)  Applications of model: The model has been applied to the
    following:  Lake Huron; Lake Erie; separate basins of Lake Erie;
    area of Lake Erie for proposed 3'etport; Cleveland harbor/ vicinity
    of Ponroe/  Michigan for proposed dredged spoil sites; Sagiriaw Bay;
    numerous thermal discharges in Great Lakes and Baltic Sea; Sea of
    Azov; Lake  Baikal; Santa Barbara Channel;  and Waukegan Harbor.
    Organizations that have used the model  or  results of the model
    include Corps of Engineers, Swedish Meteorological and Hydrological
    Institute/  Argonne National Laboratory/ Rudjer Boskovic Institute
    (Jugoslavia)/ Hydroraeteorological Institute (USSR)/ Ohio State
    University/ University of Arizona/ NASA/ NQAA, University of
    California/Institute for Electrical Investigation(Mexico), and U.S.
    SPA.  The  output of the model can be used  directly in a separate
    transport  model.
(HDW)  Computational system requirements -  Hardwares Mainframe Cray/
    IBM 370/4300, Univac 1100, ¥ax 11/730 ;Disc Disc storage: 0-50 M
    bytes ;Magnetic tape storage 0-2 units  to  process ; Printer high
    speed line  printer ;card reader/punch if disc input not used
(LNG)  Computational system requirements -  Language(s) useds FORTRAN
(OSK)  Computational system requirements: Operator Knowledge/Skills: Mor
    king Knowledge of scientific computer programming and  hydrod
CMTP)  Hater Models - Type of model: idater  quality
    Thermal/ hydrodynamic transport
(EN?)  Environraent(s) to which model* applies I  Estuary ;Lake ^Marine
(CON)  Processes and constituents included  in  model: Salinity
    ^Temperature ;Hydrology ;Hydraulics
(CPL)  Complexity level of model: multi dimensional, time-dependent
(REF)  References - User manuals, documentation/ etc. s
    Lick/ W.J./ J.  Paul, and ¥.P« Sheng.  1976.  The
    dispersion  of contaminants in the near-shore region.  In:
    Modeling biochemical processes in aquatic  ecosystems (R. P.
    Canale, ed.)  Ann Arbor Science Publishers/ Inc. pp. 93-112.
    Paul, J.F.   1976.  Modeling the hydrodynamic effects of large
    man-made modifications to lakes*  Proc* of the EPA Conf. on
    Environmental Modeling and Simulation (W.R* Ott, eda)®
    EPA-600/9-76-016/ pp. 171-175.
    Paul/ J«F«  and H.J. Lick.  1973a.  A numerical mode' for a
    three-dimensional/ variable-density jet.  Report Nc•; FTAS/TR-
    73-S2, School of Engineering/ C.V.R.D., Cleveland/ Coio.
    Paul/ J.F.  and W.J« Lick.  1973b«  A numerical modeA for a
    three-dimensional, variable-density .let.  Proc. 16th Confo Great
    Lakes Res«, IAGLR/ pp. 818-830.
    Paul, J.F.  and K.J. Lick.  1974,  A numerical model for thermal
    plumes and river discharges.  Proc. 17th Conf* Great Lakes
    Res./ IAGLR, pp. 445-455.
    Paul, J.F.  and H.J. Lick.  1975.  Report to Arqonne National
    Laboratory of the application of the Paul-Lick model to Point
    Beach Unit  1 outfall.  Appears in appendix of Surface thermal
    plurces:  Evaluation of mathematical models for the near and


                             1509

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                             Accession No.  16407000106    (cont)

    complete field (W.E.  Dunn/  A.J. Policastro and R.A. Paddock)/
    ANL/&R-75-3,  pp.  484-511.
    Paul/ J.F.  and H.J, Lick.  1976.  Application of three-dimensional
    hydrodynamic  model to study effects of proposed
    jetport island on thermocline structure in Lake Erie.  Report
    17-6 of Lake  Erie International Jetport Model Feasibility
    Investigation.  U.S.  Army Engineer Waterways Experimental
    Station Contract Report H-75-1.
    Paul, J.F.  and al.J. Lick.  1979.  An efficient/ implicit method
    for calculating time-dependent/ free-surface/ hydro dynamic flows*
    Presented at  the 22nd Conference on Great Lakes Research/
    Rochester/  New York.
    Paul/ J.F.  and W.J. Lick.  1983.  Numerical model for
    three-dimensional/ variable-density rigid-lid hydrodynaraic flows;
    Volume 1.  Details of the numerical model. EPA research report in
    press.
    Paul/ J.F./ W.L.  Richardson/ A.8. Gorstko/ and A.A. Matveyou.
    1979.  Results of a Joint USA/USSR hydrodynamic and transport
    modeling project.  EPA-600/3-79-015.
    Vasseur/ B./  L. Funkguist/  and J.F. Paul.  1980.  Verification
    of a numerical model  for thermal plumes.  SHHI Hydrology and
    Oceanography  Report No. 24. Heinrlch/J./ Lick/ti./ and Paul/J. 1981.
    Temperatures  and currents in a stratified lakes a two-dimensional
    analysis. J.  Great Lakes Res./ Vol. 7/ pp 264-275.  Jamaro/B.M./
    Lick/W., Paul/J./ and Hilliff/R. 1982. Numerical modeling of the
    currents on the continental shelf. Proc. Ocean Structural Dynamics
    Symposium *82/ Oregon State Univ./ Corvaliis.
(CSM)  Contact narae(s): Paul,J.F.
(COR)  Contact organization: EPA Office of Research and Development
    Station/ South Ferry Rd./ Narragansett/ RI  02882/  Phs  (401)
    789-1071
(ROR)  Responsible Organizations Office of Research and
    Development.Office of Environmental Processes and Effects
    Research.Environmental Research Laboratory.
                             1510

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                             Accession No«   16407000107

(DQ)  Date of Questionaires 12-02-82
(NAM)  Name of Data Base of Model;  Time-dependent,  Three-dimensional
    Transport Model
(ACR)  Acronym of Data Base or Models None
(MED)  Media/Subject of Data Base or Models  Mater
(ABS)  Abstract/Overview of Data Base or Model!  The time-dependent,
    three-dimensional transport model Has developed to calculate the
    hydrodynaaic  transport of conservative  and non-conservative
    substances in various nater bodies*,  The model  calculates the
    time-dependent concentration of the desired substance*   Input to
    this model for velocities are results from the  separately described
    hydrodynamic  model- Various user specified options permit
    application to conservative substances  such as  chloride and
    non-conservative substances such as suspended solids*

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                             Accession No.   16407000107    (cent)

    used the model include various federal  agencies and universities in
    this country and in Europe. TECHNICAL CONTACT: Dr.  John F.  Paul
    QRD, ERL Marragansett, South Ferry Rd., Narragansett,  HI  02882 Phs
    (401) 789-1071
(HOW)  Computational system requirements -  Hardware: Mainframe Cray*
    IBM 370/4300, Univac 1100, Vax 11/780 ?Disc Disc storage:0-50  M
    bytes ^Magnetic tape storage 0-2 units  to process } Printer High
    speed line printer >Card reader/punch if disc input not used
(LMG)  Computational system requirements -  Language(s)  used: FORTRAN
(OSK)  Computational system requirements! Operator Knowledge/Skills: Hot
    king knowledge of scientific computer programming and  hydrodynamic
    modeling
CWTP)  'aater Models - Type of model: 'aater  quality
    Sediment transport/resuspension
(ENV)  Environment(s) to which model applies: Estuary ;Lake ;Marine
(COS)  Processes and constituents included  in model: Erosion and
    sediment ;Toxic chemicals >Temperature  ;Hydrolog Hydraulics
(CPL)  Complexity level of model: multi dimensional, timedependent
(REF)  References - User manuals, documentation, etc.:
    Lick, W. J., J. Paul, and ¥. P. Sheng.   1976.
    The dispersion of contaminants in the near-shore region*
    In: Modeling biochemical processes in aquatic ecosystems,
    (£»P. Canale, ed.) Ann Arbor Science Publishers/ Inc.
    PP. 93-112.
    Paul, J. F* and R. L. Patterson.  1977.  Hydrodynamic
    simulation of movement of larval fishes in Western Lake
    Erie and their vulnerability to power plant entrainment.
    Proc. of the 1977 Winter Simulation Conf (H. J. Highland,
    R. G. Sargent and J. W. Schmidt, ed.),  ¥SC Executive
    Committee, pp. 305-316.
    Paul, J. F., M. L. Richardson, A. B. Gorstko, and A. A.
    Matveyev.  1979.  Results of a Joint USA/USSR hydrodynamic
    and transport modeling project.  EPA-600/3-79-015.  Beinrich, J«r
    Lick/ W., and Paul, J. 1981.  Temperatures and currents in a
    stratified lake: a two-dimensional analysis.  J. Great Lakes res.,
    Vol.7, PP.264-275.  Jaraart, B.H., Lick, «./ Paul, J.,  and Milliff,
    R. 1982.  Numerical Modeling of the currents on the continental
    Shelf. Proc. Ocean structural Dynamics  Symposium *82,  Oregon State
    Cniv./ ConTvallis.
(C!3M)  Contact narae(s): Paul,J.F.
(COR)  Contact organization: EPA Office of  Research and Development
    ERL-Marragansett, South Ferry Rd., Narragansett, RI 02882  Phs
    (401) 789-1071
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects
    Research.Environmental Research Laboratory.
                             1512

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                             Accession No.   16502000101

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Wane of Data Base of Model:  Nonionizing Radiation Models

-------
                             Accession No.   16502000101     (cent)

    as the local  SA8 value at various defined locations  within  the
    sphere/ for a given incident frequency*  Two additional  programs
    both employing ECOMP/  have been developed:   PLOT is  a graphical
    routine giving plots of local SAR against radial distance for
    different azimuthal angles. ECOMX searches for  the peak internal
    SAR value over a given range of RF frequencies  for a given  sized
    sphere.  Convergence tests are employed  in these programs in order
    to ensure that there is rapid convergence of the infinite series
    useo in the Bessel function expressions.  Convergence is generally
    obtained within 12-15  terras*  Valid solutions are obtainable for
    all combinations of sphere size and wave length including the
    important resonant region where energy  absorption reaches a peak*
    The prolate spheriodal model is composed of homogeneous muscle-like
    dielectric only and simulates large-scale objects such  as humans  or
    primates.  Solutions to the problem are  based on the extended
    boundary condition method (EBCM) which has been found to be the
    most successful of the various methods available for dealing with
    lossy prolate spheriod objects.  However/ for spheroids having  high
    eccentricity  ratios equivalent to that of standard nan  (a/b =  6.3)/
    the method breaks down in the resonant frequency region owing  to
    problems of Ill-conditioned matrices which the  computer cannot
    handle.  The  computer program/ EBCO/ is  written in FORTRAN  and  has
    been run on a Control  Data CYBER 70/ Model 73 machine.
(ASM)  Easlc assumptions of model: The electromagnetic radiation is
    assumed to be a simple plan wave/ as exists in  the far-field of an
    antenna.  The biological objects are of  simple  spherical or prolate
    spheroid shape and are composed of dissipatlve  dielectric materials
    that are linear/ homogeneous and isotropic. The heat transfer  or
    conduction aspects of the problem have not been considered.
(1NP)  Input to model: a.   Inputs for sphere model.
    1)  Radius of core.
    2)  Number of outer layers and layer thicknesses.
    3)  Dielectric data (relative permittivity and  conductivity)
    of all tissue equivalent materials as a  function of  frequency.
    4)  Frequency or frequency range of incident wave.
    5)  Internal  spherical co-ordinates/ (r  / 0 /O) at  which Internal
    fields are to be computed (or range of  same).
    6)  Maximum allowable number of terms in series and  tolerance
    for convergence of series, b.  Inputs for prolate spheroid  model.
    1)  Major and minor axis values.
    2)  Dielectric data of muscle-equivalent material as a
    function of frequency.
    3)  Frequency range of incident wave.
    4)  Orientation of major axis of spheriod with  respect  to
    E-field vector.
    5)  Angle of  incident wave with respect  to major axis.
(OUT)  Output of  model: Outputs for both models are:
    1)  Absorption cross section and absorption efficiency
    2)  Total absorbed power.
    3)  Average SAR.
    Outputs for sphere model only are:
    1)  Local internal E-field values (r /  0/0 components).


                             1514

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                             Accession No.   16502000101    (cont)

    2)  Local SAR or dose rate value.
(APP)  Applications of model: These models  provide insight  into the
    effect of nonionizing electro-magnetic  energy in the RF-microwave
    frequency, and allow researchers to predict approximately the
    thermal load to which an animal is being subjected to during
    experimental irradiation.  These results can be extrapolated and
    applied to humans. TECHNICAL CONTACT: Dr. Claude M. Weil
    Experimental Biology Division (MD-74) Health Effects Research
    Laboratory Environmental Protection Agency Research Triangle Park,
    NC 27711 FTS 629-2617  COM; 919/541-2617
(HDW)  Computational system requirements -  Hardware: Mainframe Cyber 70
    Model 73 ;Disc storage 75-80 thousand HOT
(LNG)  Computational system requirements -  LanguageCs) used: Fortran IV
    or V
(OSK)  Computational system requirements: Operator Knowledge/Skills: Sci
    entific programming and electromagnetic theory

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                             Accession No.   16503000107

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  A Mathematical Model for
    Fast-Screening Procedure for Testin Effects of Pollutants in Mammals
(ACR)  Acronym of Data Base or Model: Wone
 excretion from the lungs (a measure of
    efficiency of respiratory function) has a well-defined distribution
    with time* it can be used for the prediction of effects by
    pollutants entering the body system.  In this particular case, the
    model was derived for the prediction of the effect of Ingested
    fflethylmercury (11) clorlde on the excretion of U4)CO<2> from the
    lungs.  This method reduces the observation period from several
    hours to only a few minutes. It is suggested that this model or a
    similar one can be used for measuring the efficiency of other body
    functions, provided that there exists a measurable parameter that
    has a well-defined distribution with time.
(CTC)  CONTACTS: Robert L. Miller    EPA-Health Effects Research
    Laboratory
    Loc; 26 W. St, Clair Street, Cincinnati, Ohio  45268  Ph:
    513-684-7454
(STA)  Data Base status: Discontinued
(OF)  Date of form completion: 02-07-83
(CAP)  Functional capabilities of model: The model is in the form of a
    fourth order differential equation requiring a solution of eight
    equations.  Using mathematical methods  of approximation/ the aodel
    can be fitted precisely to a two-parameter model of the form:  R =
    8t exp (-8<2>t), where R is the rate of excretion of (14)CO<2>.
    In this form* only two measurements at  the beginning of the
    experiment are required in order to predict the effects of the
    pollutants on respiratory function. The measure of effects is the
    difference of cumulated (14>CO<2> excreted IR(O = functlon<0>(t) R
    dt3 between the control animals and the exposed animals.
(ASM)  Basic assumptions of model:  It is assumed that a two-pool open
    system exists (Shipley and Clark, 1972)  in which the blood pool is
    the central compartment while the second pool is a conglomerate of
    peripherals such as the kidneys,, lungs,  and liver.  Peripheral
    pools can communicate only through the  central compartment*  If we
    ignore the dead space in the respiratory tract, then the lung can
    be considered as composed of two classical compartments {Riley,
    1965):  the gas-exchange compartment, and the anatomical dead space
    in the alveoli,  the model is based on  the fact that the blood is
    the vehicle by which the effect of an ingested toxicant, such as
    CH<3>HgCl, is super-imposed on all other peripherals, thus
    influencing the (14)CO<2> pattern.  Each cooponent is assumed to
    follow first-order kinetics in that the (14)CO<2> loss rate is
    taken to be proportional to the number  of moles of the (14)CO<2>
    within a compartment.  Actually, excretion from the blood pool is
    not linear (Piotrouski/ 1971)«   But, as we assume, when


                             1516

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                             Accession No.   16503000107     (cont)

    steady-state kinetics apply the blood pool  can  also  be  treated  as  a
    classical compartment.   (Aris,
    1966).
(INP)  Input to model:  The  model requires only  two  measurements  of
    (14)CO<2> from Gary vibrating reed electrometers in  conjunction
    with ionization chambers.  Output of the model  is the  total
    cumulative value of (14)C excreted and the  percent of  (14)C
    excreted.
(CSR)  Computational System Requirements: Solutions to the  model can be
    obtained on a digital DEC 10 computer/  but  tha  model is simple
    enough that it can be solved on any other computer system  or
    calculator.
(APP)  Applications of model: The model has been used for  a series  of
    experiments by the Health Effects Research  Laboratory  of the EPA*
    and it can be used in biological investigations where  there  is  a
    need for a fast screening of pollutants (eg. heavy metals  or
    chemical compounds).   The effects on respiratory efficiency  or
    cardiac output can be predicted in a short  time, thus  saving time*
    animals, and personnel.  This same approach can be developed for
    any other body function with a well defined time distribution via  a
    compartmental analysis. TECHNICAL CONTACT:  Runult Iltis and  Robert
    L.  Miller U.S. Environmental Protection Agency  Health  Effects
    Research Laboratory 26  H. St. Clair Street  Cincinnati/  OH  45268 FTS
    684-7417  COM: 513/684-7417
(HDW)  Computational system requirements - Hardware: Calculator
    ?Hainframe DEC 10 or  any other system
(LNG)  computational system requirements - Language(s) used: User can
    choose language
(OSK)  Computational system requirements: Operator  Knowledge/Skills: Pro
    granmlng
(REF)  References - User  manuals/ documentation/ etc.:
    Iltis/  R./ and Miller/  R. L. "A Fast-Screening
    Procedure for Testing the Effects of Pollutants in Mammals."
    Journal of Toxicology and Environmental Health.  3:683-689/  1977.
    Iltis,  R.  "Mathematical Model for the Excretion of  (14)CO<2>
    During Radio Respirometric Studies."  Proceedings of the
    Conference of Environmental Modeling
    Proceedings of the Conference on Environmental  Modeling
    and Simulation.  U.S. EPA publication SPA 600/9-76-016, July 1976.
    Aris, R.  compartmental Analysis and the Theory of Residence
    Time Distribution in  Intercellular Transport, ed. K. B.
    Warren.  New York:   Academic Press, 1966.
    Piotrowski, J.  The Application of Metabolic and Excretion
    Kinetics to Problems  of Industrial Technology.   Washington,
    D.C.:  Department of  Health, Education, and Welfare, 1971.
    Riley R. L.  "Gas Exchange Transportation,"  Physiology
    and Biophysics,  eds.  T. C. Ruch and H. D. Patton.
    London:  Saunders, 1965.
    Shipley, R. A. and Clark, R. E.  Tracer Methods for  In
    vivo Kinetics.  New York:  Academic Press,  1972.
(CNM)  Contact name(s): Miller,R.L.
(COR)  Contact organization: EPA-Health Effects Research Laboratory


                             1517

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                             Accession No.  16503000107    (cont)

(ROR)  Responsible Organization: Office of Research and
    Development.0ffi.ee of Health Research.Toxicology & Microbiology
    Division.
                             1518

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                             Accession No.   17301300001

(DQ)   Date of Questionaire:  12-02-82
(NAM)  Same of Data Base of  Model:  MultiBO:  A Computer Program For   The
    Risk Assessment Of Toxi
(ACR)  Acronym of Data Base  or Model:  MULTI80G
(MED)  Media/Subject of Data Base or Model:  Toxic Substances
(ASS)  Abstract/Overview of  Data Base  or Model:  This program  was
    developed for the generation of low-dose carcinogenic risk
    assessments of toxic substances based on the generalized  multlhit
    and one-hit dose-response functions applied  to animal response  data
    derived from lifetime feeding studies.
(CfC)  CONTACTS: Gary F. Grindstaff, U.S. SPA, Office of Pesticides *
    Toxic
    Substances/ Office of Toxic Substances,  Health and Environmental
    Review
    Division
    Loc: E617B Waterside Mall, (TS-796) 401  M. St, S.W., Washington,
    O.C. 20460   Ph:
    (202) 382-3459
(STA)  Data Base status: Operational/Ongoing
CDF)   Date of form completion: 12-23-82
(CAP)  Functional capabilities of model: Limitations of  the model:
    There roust be at least two positive (non-zero) dose  levels. There
    may be no more than 14 positive dose levels. The average  run time
    may vary for the same job by as much as  +20%.
(ASM)  Basic assumptions of  model:  The generalized multihit model is
    equivalent to assuming a gamma tolerance dist However, it is
    mathematically quite complex? thus, rather than list assumptions
    here, individuals interested in the underlying assumptions are
    referred to the Technical Contact  for copies of theoretical papers
    underlying the development of this model.
(INP)  Input to model: The inputs to the model are: the  number of
    positive (non-zero) dose levels in the bioassay, magnitude of each
    dose level; total numbers of animals on  test at each dose level,
    estimated environmental  exposure levels  and  their number, "on-off"
    switch for confidence limits, number of  environmental exposure
    levels as input, and total numbers of animals with tumor  types  of
    interest at each dose level
(OUT)  Output of model: The  principal  outputs of interest from the
    model are: a chi-square  goodnes-of-fit test, an maximum likelihood
    estimate of the parameters of the  generalized multihit and one-hit
    models, point estimates  and 90, 95, 97,5, 99, and 99.5 lower
    confidence limits on "virtually safe dose" for risks from 1 in  10
    to 1 in 100,000,000, point estimates and 90, 95, 97,5, 99 and 99.5
    upper confidence limits  on risks for each environmental exposure
    level provided as input

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                             Accession Ho,  17301300001    (cont)

    (TS-796) 401 M St., S,W,, Washington, D.C.  20460 382-3459
(HDW)  Computational system requirements - Hardware: Mainframe IBM
    370/168 >Dise storage less than 300K bytes  ;Pr

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                             Accession No.   17301300002

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  One-Hit  Lou-Dose Extrapolation Model
(ACR)  Acronym of Data Base  or Model:  ONEHITMD
(MED)  tfedia/Subject of Data Base or Model: Toxic Substances
(ABS)  Abstract/Overview of  Data Base  or Model:  This program computes
    maximum likelihood estimates of the parameters of the one-hit
    model.  Abbott's connection is incorporated  so that  estimates of
    increased risk may be generated.  The parameters generated by the
    model are used in the assessment of lifetime carcinogenic risks at
    low environmental doses*
(CTC)  CONTACTS:  Gary F. Grindstaff, Office of Toxic Substances/
    Health and Environmental Review Division
    Loc: E617B Waterside Mall/ (TS-796) 401 M St., S.W., Washington,
    D.C. 20460   Ph:
    (202) 382-3459
(STA)  Data Base  status: Operational/Ongoing
(DF)  Date of form completion: 12-23-82
(CAP)  functional capabilities of model: The limitations of the model
    are: The numbers of experimental doses  must  not exceed 10. The
    numbers of dose levels must not exceed  20. Other limitations, if
    any, are unknown.
(ASM)  Basic assumptions of  model:  The theory of the one-hit model says
    that there is some risk  of cancer  from  even  a slight exposure to a
    carcinogen, and that the exponential probability law gives the
    probability that a carcinogen at a given dosage will induce cancer
    in a laboratory animal.  The detailed, mathematical assumptions
    underlying this model are provided in the program documentation,
    available from the Technical Contact.
(IN?)  Input to model: Inputs to the model  include: number of
    experimental  groups (e.g. males, females), number of dose levels,
    chi-square values for derived confidence limits, dose levels,
    titles of experimental groups, number of responders  and number at
    risk for each control and treated  group in each experimental group.
(OUT)  Output of  model: The  principal  outputs of this model include:
    lower confidence limits  for dose at specified attributable risks
    from 10(-1) to 10(-83 and lower confidence limits on the one-hit
    parameter. These estimates are presented first for all dose groups
    and then for  successively smaller  dose  group combinations,
    eliminating the highest  dose on each iteration.
(APP)  Applications of model: This model is used to estimate lifetime
    carcinogenic  risks associated with various suspected human
    carcinogens.   The model  is only used, however, with  dichotomous
    data from animal bioassays.  The estimates of carcinogenic risk are
    used in risk  assessments supporting regulatory actions under
    Sections 4, 5 and 6 of the Toxic Substances  Control  Act. TECHNICAL
    CONTACT: Gary F. Grindstaff OPTS/OTS/HERD/SB. E6178  Waterside
    Mall,(TS-796) 401 M St., SW, Washington., D.C. 20460, 382-3459
(HDW)  Computational system  requirements -  Hardware: Mainframe IBM
    370/168 ;Disc storage less than 300K bytes ^Printer  132 position 1
(LNG)  Computational system requirements -  Language(s) used: Fortran G
(OSK)  Computational system requirements: Operator Knowledge/Skills: NCC
    -IBM User Conventions and WYLBUR Editing


                             1521

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                             Accession Ho.   17301300002    (cont)

(REF)  References - User manuals/ documentation* etc«s
    Crump, K.S.  (1981).  An improved procedure for
    lo«-dose carcinogenic assessment for animal data.   Journal
    of Environmental pathology and Toxicology, (5<2):675-634.# Mantel,
    N., Bohidar,  N., Broun, C., Ciminera, J«, and Tukey, J«
    (1975).  An improved Mantel-Bryan procedure for "safety" testing
    of carcinogens.  Cancer Research, 34; 865-872,,
    Hartley, H.O. and Sielken, R.L., Jr. (1978). Development of
    statistical methodology for risk estimation.  Final report.
    National Center for lexicological Research, Contract No*
    222-77-2001,  April, 1978.
    Hartley, H.O. and Sielken, R.L.  (1977).  Estimation of  "safe
    dose" in carcinogenic experiments.  Biometrics, 33:

    1-30.
    Rai, K. and Van Ryzin, J.  (1980),  MULTI80:  A computer program
    for risk assessment of toxic substances.  Technical Report
    No. N-1512-NISHS, Rand Corporation, Santa Monica.
    Van Ryzin/  J. and Rai, K.  (1930).  The use of quanta! response
    data to make  predictions.  In: The Scientific Basis of Toxicity
    Assessment.   H. Hitachi (ed.) Elsevier/North Holland, New
    York, 273-290.
    Rai, K. and Van Ryzin, J.  (1981).  A generalized multihit dose-
    response model  for low-dose extrapolation. Biometrics, 372
    341-352.
    Meter, J. and Wasserman, W.  (1974).  Applied Linear Statistical
    Models.  Irwin, inc.
    Crump, K.S.,  Daffer, D.Z., and Masterman, H.D.  (1980).   Low-dose
    extrapolation utilizing time-to-occurrence cancer  data.
    In: Final Report, National Institute of Environmental Health
    Sciences, Contract No. S01-ES-2133.
    Daffer/ D.Z., Crump, K.C., and Masterman, M.C. (1980).
    Asyjrptotic theory for analyzing dose-response survival data
    with application to the low-dose extrapolation problem.
    Mathematical  Biosciences, 50 (3/4): 204-230.
    Krewski, D.  and Van Ryzin, J.  (1980).   Dose response models
    for quantal response toxicity data.  Research supported  by the
    National institute for Environmental Health Sciences under
    grants 1R01-ES-02222 and 7R01-ES-02S57.
    The program documentation is available  from the
    Technical Contact.  All users must have a registered account
    on the «EPA IBM  System and be familiar with the basic system
    conventions.
(CNM)  Contact name(s): Grindstaff,G.F.
(COR)  Contact organization: Office of Toxic Substances/ Health and
    Environmental Review Division (202) 382-3

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                             Accession No-   17301300003

 corresponding to time t and additional risk, the expected
    fraction of life-shortening by time t from dose d.
(APP)  Applications of model: This model is used to estimate lifetime
    carcinogenic risks associated with various suspected human
    carcinogens.  The model is only used, however, when tiree-to-
    occurrence data are available from an animal bioassay.  The
    estimates of carcinogenic risk are used in risk assessments
    supporting regulatory actions under Section 4, 5 and 6 of the Toxic
    Substances Control Act. TECHNICAL CONTACT: Gary F. Grindstaff


                             1523

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                             Accession No.   17301300003    (cont)

    OPTS/OTS/HERD/E8. (TS-796) E617B Waterside Mall/ 401 M St./ S.W./
    Washington, D*C. 20460 382-3459
(HD5T)  Computational system requirements -  Hardware: Mainframe IBM
    370/168 ;Disc storage less than 300K bytes ;Pr
(LNG)  Computational system requirements -  Language(s)  used: Fortran 6
(OSK)  Computational system requirements: Operator Knowledge/Skills: NCC
    -IBM user conventions and WYL8UR editing
(REF)  References - User manuals/ documentation/ etc,:
    The program documentation is:
    Rank:  A Fortran Program for Risk Assessment Using  Time-to
    Occurence Dose-Response Data by Crump/  Houe/ Masteriaan/
    and Watson (I960),
    Both this program documentation and a number of theoretical
    papers are available from the Technical Contact*  All users
    must have a registered account on the EPA IBM System and
    be familiar with the basic system conventions*

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                             Accession No.   17301300004

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Mantel-Bryan Low-Dose Extrapolation
    Model
(ACR)  Acronym of Data Base  or Model:  MANTELAN
(MED)  Media/Subject of Data Base or Model:  Toxic Substances
(ASS)  Abstract/Overview of  Data Base or Model: This computer model  is
    an implementation of the technique for  low-dose extrapolation
    developed by Mantel, Bohidar, Brown, Ciminera, and Tukey in a 1975
    paper entitled, "An Improved Mantel-Bryan Procedure for  'Safety*
    Testing of Carcinogens."  (This paper Is available from  the
    Technical Contact).
(CTC)  CONTACTS: Gary E. Grindstaff  Office of Pesticides and Toxic
    Substanc Loc: S617B Waterside Hall (TS-796), 401 M St. S,«.,
    Washington, DC 20460 Ph:
    (202)382-3459
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 12-23-82
(CAP)  Functional capabilities of model: The limitations of  this  model
    are not well known - the documentation  is somewhat sparse.
(ASM)  Basic assumptions of  model:  The Mantel-Bryan model is a special
    case of the well-known probit model.  Mantel-Bryan, however,
    assumes a fixed presumed conservative slope* The methods used to
    estimate parameters and  to place confidence limits on dose are
    explained fully in a number of theoretical background papers
    available from the Technical Contact*
(INP)  Input to model: Inputs to the model  include; The assumed slope
    of the dose-response curve (usually 1«0), number of experimental
    groups (e.g. males, females), number of dose levels, number of
    confidence limits, chi-square values for desired confidence limits,
    dose levels, titles of experimental groups, number of responders
    and number at risk for each control and treated group in each
    experimental group.
(OUT)  Cutput of model: The  principal outputs of this model  include
    lower confidence bounds  for dose at specified attributable risks
    front 10(-1) to 10(-8).  These estimates are presented for all dose
    groups first and then for successively  smaller dose group
    combinations, eliminating the highest dose on each iteration.
(APP)  Applications of model: This model is used to estimate lifetime
    carcinogenic risks associated with various suspected human
    carcinogens.  The model  is only used, however^ with dichotomous
    data from animal bioassays.  The estimates of carcinogenic risk  are
    used in risk assessments supporting regulatory actions under
    Sections 4, 5 and 6 of the Toxic Substances Control Act. TECHNICAL
    CONTACT: Gary F. Grindstaff OTS/HERD. S617B Waterside Mall
    (TS-796), 401 M St., S.S. Washington, D.C.  20460 382-3459
(HOW)  Computational system  requirements -  Hardware: Mainframe IBM
    370/168 jDisc storage less than 300K bytes ;Pr
(LKG)  Computational system  requirements -  Language(s) used: Fortran G
(OSK)  Computational system  requirements: Operator Knowledge/Skills: NCC
    -IBf user conventions and WYLBDR editing
(REF)  References - User manuals, documentation, etc.:
    The program documentation, "Example of  Input to


                             1525

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                             Accession No.   17301300004     (cont)

    Run Mantel-Bryan Program" Is available  from the Technical
    Contact.   Copies of a number of theoretical papers  are
    also available from the Technical Contact.   All users must
    have a registered account on the EPA IBM System and  be
    familiar  with the basic system conventions.
(CNM)  Contact name{s): Grindstaff,G.F.
(COR)  Contact organization: Office of Toxic Substances/ Health and
    Environmental Review Division (202)382-34
(ROR)  Responsible Organization: Office of  Pesticides and Toxic
    Substances.Office of Toxic Substances.Health and Environmental
    Review Division-
                             1526

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                             Accession No.   17301300005

(DQ)  Date of Questionaire;  12-02-82
(NAN)  Name of Data Base of  Model:  GLG8AL79 A Fortran Program to
    Extrapolate Dichotoiaous  Animal  Carcinogenic!ty Data to  Lou Doses
(ACR)  Acronym of Data Base  or Model! GL08AL79
(MED)  feedia/Subject of Data Base or Model: Toxic Substances
(A8S>  Abstract/Overview of  Data Base or Model: GLOBAL79 is a program
    to analyze dichotomous animal carcinogeniclty data.  It is assumed
    that at each dose level/ animals have been exposed to a constant
    dose rate of the agent under test and that souse positive responses
    have occurred. The program calculates maximum likelihood estimates
    of a multistage dose response function*  The user may allow the
    program to set the degree of the polynomial function to be one
    fewer than the number of dose groups* or force the degree of the
    polynomial, or globally  maximize the likelihood over polynomials of
    arbitrary degree.  A likelihood ratio test is then performed on the
    polynomial's linear coefficient.  Next, lower statistical
    confidence limits on dose and upper statistical confidence limits
    on risk are calculated for risk levels from 10-1 to 10-8 and for
    other dose levels input  by the  user.  Finally/ if requested by the
    user/ the program Hill conduct  a Monte-Carlo goodness-of-fit test
    of the model to the experimental data.
CCTC)  CONTACTS: Gary F. Grindstaff,  Office of Toxic Substances/
    Health and Environmental Review Division
    Loc: E617B Waterside Hall (TS-796), 401 H St., S.U., Washington,
    D.C. 20460 Ph: (202)
    382-3459
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completions 12-23-82
(CAP)  Functional capabilities of model: Limitations of the model: the
    number of dose levels must not  exceed 19, the number of animals
    must not exceed 2000, the number of environmental doses input by
    the user must not exceed 50, the number of data sets that may be
    analyzed in one run must not exceed 1000.
(ASM)  Basic assumptions of  model:  This is a multistage model, the
    parameters of which are  estimated by the method of maximum
    likelihood. However, the model  is mathematically complex, thus
    rather than list the assumptions and theory of this model here,
    individuals interested in them  are referred to the Technical
    Contact for copies of theoretical papers underlying the development
    of this model.
(INP)  Input to model: Inputs to the model include; the number of dose
    levels, goodness of fit option, number of animals at risk at each
    dose level, number of animals showing a positive response at each
    dose level, magnitude of each dose level, model option (multistage,
    forced stage, global optimization), degree of polynomial (for
    forced stage option), and number and level of environmental doses
    for which risks are to be computed.
(OUT)  Output of model: The principal outputs of the model are: loner
    statistical confidence limits for the doses producing extra risks
    from 10(-1) to 10(-8) (virtually safe dose), upper confidence
    limits on extra risk for maximum likelihood estimated doses (or
    other doses ahlch are input by the user) corresponding to increased


                             1527

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                             Accession No.   17301300005    (cont)

    risks from 10{-1) to 10(-8).
(APP)  Applications of model: This model is used to estimate lifeline
    carcinogenic risks associated with various suspected human
    carcinogens.  The model is only used, however, uith dichotoraous
    data from animal bioassays.   The estimates of carcinogenic risk are
    used in risk assessments supporting regulatory actions under
    Sections 4, 5 and 6 of the Toxic Substances Control Act.  TECHNICAL
    CONTACT: Gary F. Grlndstaff OTS/HERD. E617B Waterside Mall
    (TS-796),  401 fc St., S.W. Washington,  D.C.   20460   382-3459
CHOW)  Computational system requirements - Hardware: Mainframe IBM
    370/168 ;0isc storage less than 30OK bytes ;Pr
(LNG)  Computational system requirements - Language(s)  used: FORTRAN G
(OSK)  Computational system requirements: Operator Knowledge/Skills: NCC
    -IBM User Conventions and WVLBUR editing
(RCF)  References - User manuals, documentation, etc.:
    The program documentation is:
    GLOBAL79:  A Fortran Program for Risk Assessment Using
    Dichotomous Animal Carcinogenicity Data by Crump and Watson (1979).
    Both this program documentation and a number of theoretical
    papers are available from the Technical Contact.  All users
    must have a registered account on the EPA IBM System and be
    familiar with the basic system conventions.
(CNM)  Contact name(s): Grindstaf f,G.F.
(COR)  Contact organization: Office of Toxic Substances, Health and
    Environmental Review Division (202) 382-3
(ROR)  Responsible Organization:  Office of Pesticides and Toxic
    Substances.Office of Toxic Substances.Health and Environmental
    Review Division.
                             1526

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                             Accession No«   17301300006

(DQ)  Date of Questionairej 12-02-82

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                             Accession No.   17301300006    Pr

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                             Accession No.   17301300007


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                             Accession Ho.   17301300007     (cent)

    Data11 by John Van Ryzin and Daniel Kreuski,  1980 and "User
    Instructions for RISK81:  A Computer Program  for Lou-Dose Extra-
    polation of Quantal Response Toxicity Data,  1901, are the program
    documentations.   Method of access to the model  at the NCC-IBM,
    are available from the technical  contact. All  users Bust have  a
    registered account on the EPA IBM System.
(ROR)  Responsible Organization: Office of  Pesticides and Toxic
    Substances.Office of Toxic Substances.Health and Environmental
    Review Division.
                             1532

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                             Accession No.   17301400906

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Environmental Partitioning Model
(ACR)  Acronym of Data Base  or Model! ENPART
(MED)  Media/Subject of Data Base or Model:  Toxic substances
(A8S)  Abstract/Over view of  Data Base or Model:  This generalized
    partitioning model integrates information about a chemical's
    production, use, and disposal with laboratory data describing its
    physiochemical properties in order to provide insight into the
    dominant processes responsible for that  substance's transport and
    degradation in the environment*  It is intended to be used in early
    stages of chemical risk  assessments to identify environmental media
    through which exposure may occur, and to provide a guide for
    further assessment by indicating the media with the highest
    exposure potential.  The methodology explicity treats transfer
    between and transformation within environmental media and ranks
    media as to their exposure potential, and transformation processes
    as to the relative importance in controlling the level of exposure.
    The analysis can also be applied in the  design of a cost-effective
    testing approach to yield data on interrelated transport and
    transformation processes uhich when considered together, present a
    clear picture of a substance's environmental fate*
(CTC)  CONTACTS: William P.  Hood     Office  of Toxic Substances
    Exposure Eva Dlv.
    Loc: 401 M St., S.W., Washington, DC 20460  Ph: (202) 426-0724
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-26-83
(CAP)  Functional capabilities of model: The equilibrium partitioning
    segment of the model combines information on chemical releases and
    intermedia transport processes to determine the partitioning of  the
    chemical between air, water, soil, sediment, and biota. The dynamic
    partitioning segment sums first-order degradation rates to yield
    the overall transformation half-life for each nedium. This is then
    compared uith the previously calculated  intermedia transfer
    half-life to determine if the chemical is degraded before it can be
    transferee! from the media to uhich it is released.
(ASM)  Basic assumptions of  model:  The approach used in the equilibrium
    partitioning analysis assumes that each  media compartment is
    homogeneously well mixed, and that all compartments are in
    equilibrium.  The dynamic partitioning portion of the model assumes
    that inter-compartmental transfer is at  steady state ulth
    transformation processes such as photolysis, hydrolysis, oxidation,
    and biodegradation.  The concentration ratios are determined using
    fugacity constants describing tendencies to transfer between
    compartments uhich are valid for use at  low environmental
    concentrations.
(IMP)  Input to model: The equilibrium partitioning of the model
    requires data on the substance's vapor pressure, water solubility,
    soil and/or sediment adsorption coefficients, and the octanol/nater
    partition coefficient, or data for chemical surrogates*  The
    dynamic partitioning portion requires first order or pseudo first
    order rate constants for major chemical  transformation processes,
    including ozone and hydroxyl radical oxidation/ direct photolysis,


                             1533

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                             Accession Ho.   17301400906    (cont)

    aqueous photolysis* hydrolysis in surface Hater and soil Hater, and
    biodegradation in water and soil.
(OUT)  Output of model: The model provides ratios of chemical
    concentrations between media compartments* rather than absolute
    concentrations. This allows media to be ranked in order of exposure
    potential.  The overall environmental persistence of the substance
    is calculated based upon the degradation and intermedia transfer
    rates.
(APP)  Applications of model: The environmental partitioning model is
    useful  in the early stages of chemical risk assessment to identify
    environmental nedia through which exposure may occur*,
(HDW)  Computational system requirements - Harduarei Mainframe VAX
    11/780  ;Disc storage

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                             Accession No.   17301400907

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model:  Unified  Transport Model  - Toxics
(ACR)  Acronym of Data Base or Model:  UTM - TGX
(MED)  Media/Subject of Data Base or Model; Air ;Toxic substances ;Mater
(ABS)  Abstract/Overview of Data Base or Model: The Unified Transport
    Model is a multimedia model which simulates the movement of a
    chemical through an inland watershed.  The model calculates the
    concentration of organic and inorganic  chemicals in  air, water/
    soil, sediment and biota.  The  UTM consists of the Atmospheric
    Transport Model (ATM) the Wisconsin Hydrologic Transport Model
    (HHfM) the Terrestial Ecosystem Hydrology Model (TERM)  and a suite
    of associated submodels.  The model was originally developed by Oak
    Ridge National Laboratory to simulate trace element  transport
    through a forested ecosystem.  The model was modified by Oak Ridge
    in 1980 for the Environmental Protection Agency to incorporate the
    transport and transform- tion processes associated  with organic
    chemicals.
(CTC)  CONTACTS: Davis Mauriello (TS-798)     SPA Office Toxic
    Substances Exposure Evaluation  Division
    Loc: 401 M St., yashington, B.C. 20460  Ph: (202) 426-0724
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-26-83
(CAP)  Functional capabilities of model: The model is applicable to
    small watersheds consisting of  up to 3  land segments and 7 reaches.
    The concentration of the chemical in air is determined on a monthly
    basis.  Movement of the chemical through the terrestrial and
    aquatic environment is simulated at 15  minute intervals.  The
    average monthly and annual concentrations can be calculated with an
    accuracy of better than an order of magnitude.  The  hydrologic
    submodel requires calibration.
(ASM)  Basic assumptions of model:  The chemical (organic or inorganic)
    is assumed to be released from  point, line or area sources into
    air, deposited onto land and subsequently transported to ground
    water and surface water.  The ATM consists of a steady state
    Gaussian algorithm.  The terrestrial model is a simulation model.
    The ecological submodels are mechanistic in character.
(INP)  Input to model: The input data includes monthly wind roses,
    hourly precipitation, solar radiation,  daily maximum and minimum
    temperatures, soil characteristics, topographic information,
    surface water characteristics,  sediment characteristics, and the
    physiochemical properties and transformation rates associated with
    the chemical.
(OUT)  Output of model: The output consists of plots and tables
    summarizing the average monthly and annual chemical  concentrations
    in 8 wind sectors, in saturated and unsaturated soil layers, in
    runoff, out of each reach, and in the stems, leaves, roots and
    fruits of vegetation,
(APP)  Applications of model: The model has been used by the
    Environmental Sciences Division of Oak  Ridge National Laboratory to
    study the accumulation of trace metals  in the soil and biota of two
    forested ecosystems.
(HDH)  Computational system requirements -  Hardware: Mainframe IBM 370,


                             1535

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                             Accession Ho,   17301400907    tcont)

    VAX 11/780 jDisc storage 540K bytes on  IB Printer any  132
    characters per line model
(LNG)  Computational system requirements -  Language(s) used: Fortran  IV
    extended
(OSK)  Computational system requirements: Operator Knowledge/Skills:  Pro
    gramming
(ATP)  £ir Models - Type of model:  Gaussian dispersion
(QAQ)  Model reviewed and approved by OAQPS? MO
(PMP)  Production method of primary pollutant in model: Primary
    (emitted directly into atmosphere)
(KPR)  Process used to remove pollutant from atomosphere:  Combination
(fME)  Sample averaging time used:  more than 24 hours
(SRC)  Source of pollutant: Combination of  all sources
(AR)  Area where sample Has collected: level or gently rolling terrain.
(RNG)  Distance traveled by pollutant from  source: less than 60  kra
(HTP)  Mater Models - Type of raodel:  Hater  run-off
(ENV)  Environment(s) to uhich model  applies: Stream/river
(CON)  Processes and constituents included  in model:  Toxic chemicals
    ;Biological effects ;Hydrology
(CPL)  Complexity level of model: transient mass balance ;one
    dimensional
(REP)  References - User manuals, documentation/ etc.:
    Culkouskis W. M.s and Patterson*  M. R.  1976.
    A Comprehensive Atmospheric Transport and Diffusion Model*
    Qak Ridge National Laboratory Report ORML/NSF/EATC-17.
    Patterson/ M. R., at al*  1974.  A User's Manual  for the
    Fortran IV Version of The Wisconsin Hydrologic Transport
    Model,  Oak Ridge National Laboratory Report ORNL/NSF/5ATC-7.
    Huff, D. D., et al.  1977.  TEHM:  A Terrestrial  Ecosystem
    Hydrology Model,  Oak Ridge national Laboratory Report ORN,/
    NSF/EATC-27.
(CUM)  Contact name(s): Lefler,J«
(COR)  Contact organization: EPA Office Toxic Substances Exposure
    Evaluation Division
(ROR)  Responsible Organization: Office of  Pesticides and  Toxic
    Substances.Office of Toxic Substances.Exposure Evaluation Division.
                             1536

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                             Accession Ho.   17301400908

(DQ)  Date of Questionaire;  12-02-82
(NAM)  Name of Data Base of  Model:  Seasonal Soil Model
(ACR)  Acronym of Data Base  or Model; SESQIL
(MED)  Media/Subject of Data Base or Model: Toxic substances ;Water
(ABS)  Abstract/Over view of  Data Base or Model:  The SESOIL model
    describes the water transport/  sediment transport/ pollutant
    transport, and soil quality within a user specified soil column
    extending between the ground surface and the lower part of the
    saturated soil zone of a region.  SESOIL is  designated as seasonal
    because it analytically  estimates the pollutant distribution in the
    soil column after a season (e.g., one year or six months) directly.
    It does not estimate pollution distribution  indirectly (i.e., by
    summing up pollutant distribution estimates  in the soil coluan
    after each major storm event) as existing models in the literature
    do.  SESOIL is designed  to simulate point or non- point pollutants
    from major land use categories such as urban areas and is
    sufficiently flexible to allou applications  to various
    climate-soil-vegetational conditions and pollutant types*  The
    analysis of SESOIL can consider tine dependent pollutant inputs to
    the soil column.  The model simulates three  major cycles:  the
    water cycle, taking into account rainfall, infiltration, surface
    runoff, evapotranspiration, groundvater, and optionally snow
    pack/melt, and vegetative interception; the  sediment cycle, taking
    into account sediment resuspension due to wind, and sediment
    wasMoad from rainstorms; and the pollutant  cycle which takes into
    acecunt volatilization,  adsorption/desorption, degradation, and
    biological transformation/uptake.
(CTC)  CONTACTS: Annett Mold    EPA Office Toxic Substances Exposure
    Evaluation Div. Loc: 401 M St., S.H., Washington, D.C. 20460
    Ph: (202) 426-0724
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-26-83
(CAP)  Functional capabilities of model: The model calculates seasonal
    pollutant concentration  in soil water and water quantity in a soil
    column, making it potentially useful in studying leaching from
    waste disposal sites and pesticide or other  toxic substances
    movement on watersheds.   Model accuracy has  not yet been measured.
(ASM)  Basic assumptions of  model; The fundamental water balance
    equation in the model sets infiltration equal to precipitation
    minus surface runoff, which is in turn equal to net
    evapotranspiration and groundwater recharge  and loss.  There is a
    fundamental pollutant mass balance equation  for both the upper
    (unsaturated) and lower  (saturated) soil zones, which can be solved
    for dissolved and sorbed pollutant concentrations.
(IMP)  Input to model: In order to avoid difficulties in calibration,
    SESCIL uses primarily theoretically derived subroutines based on
    physical principles, there by limiting input data requirements*
    Model parameters can be  determined independently either from
    laboratory experiments or from past field measurements. SESOIL
    requires continuous (tine dependent) inputs  for various parameters
    (e.g., rainfall, evapotranspiration) for a specific tiraestep.  The
    model accepts input from the atmospheric regime as well as from


                             1537

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                             Accession No.   17301400908    (cont)

    point and non-point sources of pollutant discharges.
(OUT)  Output of model: Separate concentration estimates  for pollutants
    are calculated for the upper and louer  soil zones.
(APP)  Applications of model: The SESOIL model has not  yet been applied
    and is still under development under the direction  of the Exposure
    Evaluation Division, EPA Office of Toxic Substances.  A computerized
    version is operational.
    A version suitable for solving alth a programmable
    calculator is described in the reference. TECHNICAL CONTACT:  Annett
    Mold Exposure Evaluation Division (TS 793) EPA Office of Toxic
    Substances, Washington, D.C. FTS  426-0724
(HOW)  Computational system requirements -  Hardware:  Calculator
    ;Mainframe VAX 11/760 ?Disc storage
(LNG)  Computational system requirements -  Language(s)  used: Fortran
(OSK)  Computational system requirements: Operator Knouledge/Ski11s: Fan
    iliarity uith hydrologic processes
fMTP)  fcater Models - Type of model: Hater  run-off
(ESV)  Environment(5) to which model applies: Non-point either urban or
    non-urban

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                             Accession Ho.   17407000505

 ^tj)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model: TOX-SCREEN
(ACR)  Acronym of Data Base or Model: TDK-SCREEN
(MED)  Media/Subject of Data Base or Model:  Air; Toxic Substances;
    Hater; Soil
(ABS)  Abstract/Overview of Data Base or Model: TDX-SCREEN is a
    multimedia screening-level model for assessing the potential fate
    of chemicals released to the environment. It is intended to be  used
    in the early stages of chemical risk assessments to provide a means
    of rapidly evaluating chemicals with respect to their human and
    environmental exposure potential; by design, it is overpredictive
    (conservative) in nature.  Chemical concentrations in air, surface
    water, and soil reflect both direct input to an or all of the media
    from a specified source(s), and subsequent interaction via
    processes such as volatilization, atmospheric deposition, and
    surface runoff.  The user selects the types of water bodies (i.e.,
    river, lake, estuary, ocean) to be considered in any given
    simulation and specifies if the chemical is directly released to
    air or water, and/or directly applied to soil.
(CTC)  CONTACTS: Russell Kinerson   USEPA/OTS/EED 
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                             Accession No.   17407000505    (cent)

    layers, in runoff/ in each reach of the river, stream,  or estuary,
    and in the lakes and ocean.
(APP)  Applications of model: The model has been used by the Office of
    Toxic Substances to evaluate the upper  levels of chemical that
    might be expected in each environment.
(HDW)  Computational system requirements -  Hardware: Mainframe VAX
    11/780 ; PDP-10
(LNG)  Computational system requirements -  Language(s) used: FORTRAN
(ATP)  Air Models - Type of model: Gaussian Dispersion
(OAQ)  Model reviewed and approved by OAQPS? No
(PMP)  Production method of primary pollutant in model: Primary
    (emitted directly into the atmosphere)
(NPR)  Process used to remove pollutant from atomosphere: Chemical-physi
    cal combination (with neither process dominant)
(TME)  Sample averaging time used: ifore than 24 hours
(SRC)  Source of pollutant: Combination of  1-4, point or area sources
    may be used
CAR)  Area where sample was collected: Simple (area with level or
    gently rolling terrain)
(MTP)  fe'ater Models - Type of model: Water  run-off/Loading
(ENV)  Environment(s) to which model applies: Estuary; Lake;
    Stream/River; Marine
(CON)  Processes and constituents included  in model: Erosion and
    Sediment; Toxic Chemicals; Temperature; Hydrology
(CPL)  Complexity level of model: Steady State Mass Balance;
    One-Dimensional
(REF)  References - User manuals, documentation, etc.: McDowell-Boyer
    L.M., He trick, D.M., 1982.  A Multimedia Screening-Level Model for
    Assessing the Potential Fate of Chemical Released to the
    Environment.  ORNL/TM-8334.   Oak Ridge  National Laboratory; Oak
    Ridge/ TN  TOX-SCREEN User's Guide - DRAFT
(CUM)  Contact name(s): Russell Kinerson
(COR)  Contact organization: USEPA/OTS/EED   (TS-798)
(ROR)  Responsible Organization: Office of  Pesticides and Toxic
    Substances.Office of Toxic Substances.Exposure Evaluation Division.
                             1540

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                             Accession No.   18313000510

(DQ)  Date of Questionaire: 12-02-82
(NAN)  Name of Data Base of Model:  Hydrologic Simulation on Solid  Haste
    Disposal Sites
(ACR)  Acronym of Data Base or Model;  HSSWDS
(MED)  Media/Subject of Data Base or  Model:  Hazardous Waste
(ABS)  Abstract/Over view of Data Base or Model:  The Hydrologic
    Simulation on Solid Waste Disposal Disposal  Sites (HSSWDS)  Model
    was developed to help landfill designers and evaluators estimate
    the amount of moisture percolation through different types  of
    landfill covers.  This one-dimensional,  deterisinisttc,
    computer-based water budget model was developed and adapted from
    the U.S. Department of Agriculture CREAMS Hydrologic model  and uses
    the Soil Conservation Service curve number method for calculating
    runoff. The model takes engineering/ hydrologic, and cliraatologic
    input data in the form of rainfall/ average  temperatures,  average
    solar radiation/ leaf area indices and characteristics of  cover
    materials/ and performs a sequential analysis to derive a  water
    budget including runoff/ percolation/ and evapotranspiration*
(CTC)  CONTACTS: Douglas C, Ammon   Solid & Hazardous Waste Research
    Div/MERL   LQC; 26 West St. Clair Street/ Cincinnati/ OH   45268
    PH: (513) 684-7871
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completions 01-18-83
(CAP)  Functional capabilities of model: The roodel"s function  is to
    help landfill designers and permit officials estimate the  amount  of
    moisture percolation through different types of landfill covers.
    Being one-dimensional (in the vertical direction)/ the model does
    not account for lateral inflow or drainage*   the tiae step  is one
    day with simulation capabilities  of up to 20 years.  From  minimal
    input data the model will simulate daily* monthly/ and annual
    values for runoff, percolation/ temperature/ soil-water/ and
    evapotranspiration.
(ASM)  Basic assumptions of model: The HSSWBS model is a deterministic/
    one- dimensional model that develops a long-term water balance
    based on historical or simulated  daily rainfall records.
    Infiltration of moisture through  the soil surface is calculated
    using the SCS curve number technique.  The SCS curve number
    technique relates runoff to soil  type* land use/ and management
    practices and uses daily rainfall records.  The actual rainfall
    intensity, duration/ and distribution are not cons'-tiered.   Average
    daily temperatures/ average daily solar radiations  and average
    leaf area indices are used to estimate water loss bv evaporation  or
    transpiration using modified Penman method.  The model is not more
    complex than a manual tabulation  of moisture balance but HSSWDS
    makes available a more complete data base and a state-of-the-art
    system for obtaining an accurate  water budget over a wide  variety
    of climatic/ soil/ and vegetative conditions.
(INF)  Input to model: The model is ordinarily used in the
    conversational mode, which enables the user to interact directly
    with the program. Five year of climatical default data are on files
    accessible to the user for over 104 locations.  Logical values for
    soil properties ara provided as default values.  The user  specifies


                             1541

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                             Accession So.   18313000510     (cont)

    the design of the cover.   If the user's overrides the  default
    values, the input requirement can become very intensive especially
    for climatical data.
(OUT)  Output of model:  The model output are daily,  monthly, and annual
    values for runoff, percolation,  temperature,  soil-water, and
    evapotranspiration for up to 20  years of simulation.   Output is in
    tabular form,  in the conversational model the output  is received
    immediately through a terminal display.
(APP)  Applications of model: The model is  intended to assist permit
    officials in evaluating the adequacy of a hazardous  waste or
    municipal solid waste landfill cover design.   Landfill designer can
    also apply the model to assist their engineering design efforts.

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                             Accession No.   13111000503

(DQ)  Date of Questionaire:  12-02-82
(MAM)  Name of Data Base of Model:  Eastern North American Model  of  Air
    Pollution
(ACR)  Acronym of Data Base or Models  ESAMAP-1
<«ED)  Media/Subject of Data Base or Model: Air
CABS)  Abstract/Overview of Data Base or Model: The ENAMAP-1 model
    (developed by SRI, International)  Is a one-layer long-range
    transport model capable of estimating monthly,  seasonal, and annual
    concentrations and wet and dry  depositions  of two
    chemically-dependent pollutants across a 46 by  41 grid of eastern
    North America {east of 105 degrees Mest longitude and in between 29
    degrees and 54 degrees North latitude).  In addition/ the
    individual contributions of emissions from  x source regions  on  the
    concentrations or depositions over y receptor regions are
    determined. Puffs of both pollutants are released from 70-km grid
    cells every 12 hours of simulation time. The puffs are advected
    using 12-hourly wind fields which is generated  by integrating and
    gridding the observed rawinsonde wind between the surface and top
    of the constant nixing height (1150 m in winter, 1300 ra in
    spring/sutumn, and 1450 m in summer). Diffusion is treated as being
    Fickian ("tl/2) in the horizontal and instantaneous and uniform in
    the vertical up to the mixing height. Dry deposition is a function
    of land-use, season, and atmospheric stability.  Wet deposition is
    function of precipitation rate.  A chemical transformation rtate of
    1%/hr is assumed.  Concentration and deposition across the 70-km
    grid cells are determined at 3-hourly time  steps.
(CTC)  CONTACTS: Terry L. Clark   DRD, ESRL, MD, AMS   LOC: Research
    Triangle Park, NC  27711   PH:  (FfS) 629-3372
CSTA)  Data Base status: Operational/Ongoing
(DF)  Dete of form completion: 01-28-83
(CAP)  Functional capabilities of model: In its present form, the model
    should not be applied to time periods of less than a month,  because
    of the assumptions and limitations of the model (e.g., constant
    mixing height, instantaneous and uniform mixing in the vertical,
    and 12-hourly wind fields).  Monthly, seasonal, and annual wet  and
    dry depositions (mg/m2 or kg/ha) and concentrations (ug/m3)  of  the
    two pollutants are estimated for each of the 1886, 70-km grid
    cells.  Model results of monthly-averaged S02 and 304=
    concentrations for a month in each season of 1975 through 1978  have
    been compared with observations.  Regional  patterns determined by
    the model compared quite favorably with the observed patterns.   The
    maximum estimated monthly concentrations across the domain for  each
    month were within 40% of the maximum observed monthly
    concentrations.
(ASM)  Basic assumptions of model:  The model assumes 1) a constant
    mixing height over the entire simulation month with a seasonal
    variation of 1150 to 1450 m> 2) instantaneous and uniform mixing in
    the vertical below the mixing height and no flux across the  top of
    the mixed layer; 3) a constant horizontal diffusion rate of  36
    km2/hr; 4) a constant transformation rate of l%/hr> 5) a constant
    emission rate for each emission grid cell;  and 6) a constant
    precipitation rate over a period when precipitation was reported.


                             1543

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                             Accession No.   18411000508    (cent)

    The dry deposition velocity of S02 ranges between 0.00 and 0.47
    cm/sec, while that of 304= ranges between 0*00 and 0.50 cm/sec.
    Wet deposition of S02 and SQ4= (%/hr) are estimated by 0.28R and
    0.07R,  where R is the rate of liquid precipitation (mm/hr).
(ISIP)  Input to model: The following input  data are required to apply
    the model;  1) U.S. and Canadian upper-air wind data (12-hour
    resolution)/ 2) annual U.S. and Canadian emission inventory
    {monthly or seasonal inventories perferred, and 3) U.S« and
    Canadian precipitation data base <3-hour resolution preferred).
    The following data sets are available at EPA! 1) U.S.  and Canadian
    wind fields for January and July of 1978, 2)  U.S. and  Canadian S02
    emissions inventory for 1978 as supplied by U.S./Canadian Acid Rain
    Work Group  2> U.S. and Canadian precipitation data base (6-hour
    resolution) for January and July 1978.
(OUT)  Output of model: The model is capable of producing  the following
    output; 1)  monthly-averaged wet deposition, dry deposition/ and
    concentration fields (70-ra resolution)  for two pollutants (printed
    on computer paper or written to magnetic tape) and 2)  monthly
    contribution matrices for wet deposition, dry deposition, and
    concentrations of two pollutants (printed on  computer  paper or
    written to  magnetic tape).
(APP)  Applications of model: The first version of the model was
    applied by  SRI, International to generate fields and contribution
    matrices for January, April, July, and  October of 1975, 1976,  1978,
    and 1979 plus January, April, August, and October of 1977 for  the
    purpose of  model validation.  The second version of the model  was
    applied by  EPA to generate fields and contribution matrices for
    January and July 1978 using data supplied by  O.S./Canada Work  Group
    2 and for July 1978 using data supplied by Brookhaven  National
    Laboratory.  Both applications were performed for the  purpose  of
    model intercomparisons.
(HDM)  Computational system requirements -  Hardware: Mainframe DNIVAC
    1100/82
(LNG)  Computational system requirements -  Language(s) used: FORTRAN
(OSK)  Computational system requirements: Operator Knowledge/Skills: Com
    puter Programming
(ATP)  Air Models - Type of model: Numerical Dispersion
(OAQ)  Podei reviewed and approved by OAQPS? MO
(PMP)  Production method of primary pollutant In  model: Secondary
    (produced in atmosphere by chemical reactions)
(MPf?)  Process  used to remove pollutant from atoroosphere:  Chemical-Physi
    cal combination (with neither process dominant)
(TME)  Sample averaging time used: More than 24 Hours
(SRC)  Source of pollutant: Multiple (More  than 10-20) Point
(AR)  Area where sample was collected: Simple (area with rough terrain,
    containing  or close to large body of water, or in a valley or
    street canyon)
(RNG)  Distance traveled by pollutant from  source: Long-range (more
    than 100 km)
(REF)  Peferences - User manuals, documentation,  etc.: ENAMAP-1
    LONG-TERM S02 AND SULFATE PQLLUTIQH MODEL FURTHER APPLICATION!  TO
    EASTERN MORTH AMERICA   C. M. Bhuroralkar, R.  L. Mancuso, D. S.


                             1544

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                         Accession No.   18411000508
                                                           (cont)
    Molf, K.  C.  Nitz,  and Vi.  B.  Johnson Atmospheric Science Center/ SRI
    International
(CNM)  Contact narae(s):  Terry L. Clark
(COR)  Contact organization:  ORD, ESPL,
(RQR)  Responsible Organization: Office
    Development. Off ice of Environmental
                                    MD, AMB
                                    of Research and
                                    Processes and Effects
Research. Environmental Sciences Research Laboratory.
                         1545

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                             Accession No.  18413000502

      Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model: Water Quality Analysis Simulation
    Program
(ACR)  Acronym of Data Base or Model: HASP
(MED)  Media/Subject of Data Base or Model:  Water
(ABS)  Abstract/Overview of Data Base or Model: HASP is a generalized
    modeling program for simulating the water quality of aquatic
    systems-  Based on the flexible compartment modeling approach, HASP
    may be applied in one- two- f or three-dimensional configurations.
    A variety of water quality problems can be addressed uith the
    selection of appropriate kinetic subroutines. Time-varying
    transport processes, including forcing and boundary processes,
    advection, dispersion, and mass loading/ are represented in this
    program.  Mater quality processes are represented in special
    kinetic subroutines that are either chosen from a library or
    written by the user.  WASP is structured to pernsit easy
    substitution of kinetic subroutines into the overall package to
    form a particular model. User-defined constants,
    spartially-variable parameters, and time functions are input
    through WASP to drive the kinetic subroutines. Problems simulated
    with WASP include dissolved oxygen-BOD dynamics, nutrients and
    eutrophication, bacterial pollution, and toxic chemical transport
    and fate.
(CTC)  CONTACTS: Robert B. Ambrose, Jr.,   U.S. EPA, Athens Env. Res.
    Lab., LOG:  Athens, GA  30613   Ph: (404) 546-3546
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-25-83
(CAP)  Functional capabilities of model: WASP is a dynamic compartment
    modeling program. Linked with various kinetic subroutines, from 1
    to 19 state variables have been simulated.  Segments can be
    configurated into one-, two-, or three-dimensional networks that
    include the water column and bed. Concentrations are calculated
    explicltely every time step for every segment.  The time step
    varies at the user's discretion, generally between an hour and a
    day.  With the specification of appropriate driving functions and
    parameters, divrnal to seasonal variations can be simulated.
    English units are used in the model, but scale factors provided
    allow all input data to be specified in SI (or other) units.
    Accuracy is usually limited by scientific knowledge and precision
    of input data, and thus varies with application. WASP is
    practically limited to those cases where the transport field can be
    specified, either from direct measurement or from other
    hydrodynamic models.
(ASM)  Basic assumptions of model: HASP is based on the conservation of
    mass principle, along with the following assumptions: all segments
    are well mixed; the transport field can be adequately specified;
    and the total derivative, at a point can be solved as the sum of
    the derivatives due to transport, mass addition, and kinetic
    processes. Reaction rates can vary over several orders of
    magnitude, from 0 to approximately 5 per day.  An explicit, finite
    difference solution methodology is used.
(IMP)  Input to model: To set up and run, the following data are


                             1546

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                             Accession No.   18413000502    (cont)

    needed: network divided into segments with length,  depth, cross-
    sectional area, volume; dispersion coefficients; advective Clous;
    boundary concentrations; input loads; spatially-variable parameters
    defined by the particular kinetic subroutine used;  various
    constants and time functions defined by the kinetic subroutine; and
    initial concentration.  To calibrate and verify the model, the
    above data are needed, as well as measured concentrations
    throughout the water body at different times.
(DOT)  Output of models Echo of input data.  Table of output variables
    at regular intervals.  Time plot of output variables at selected
    locations.  Spatial plot of output variables at selected times.
    Statistical analysis and comparison with observed data using the
    Model Verfication Program.  Milwaukee River; and toxic substances
    in the Hudson River and Great Lakes.  The SPA Large Lakes Research
    Station, who funded the later development of HASP,  has applied it
    to eutrophication problems in the Great Lakes and PCB problems in
    Saginaw Bay.  The Athens Environmental Research Laboratory, which
    now supports WASP, has applied it to eutrophication problems In
    subestuaries of Chesapeake Bay, and has developed a compatible
    toxic chemical kinetic subroutine based on EXAMS (see TOXISIASP). In
    addition, linkage to the hydraulic file generated by the Storm
    water Management Model (RECEIV block, program StiFLOW) has been
    accomplished.
(APP)  Applications of model: Different versions of WASP have been
    applied to many uater resource management problms.   Most of these
    have been by the developers, Hydroscience and Manhattan College:
    eutrophication of San Francisco Bay, the Great Lakes (Ontario,
    Rochester Bay, Erie, Huron, Saginau Bay, Michigan), the Potomac
    Estuary, Chesapeake Bay, and upper Mississippi; dissolved oxygen
    budget of upper Delaware/ New York Harbor, and
(HOW)  Computational system requirements - Hardware: Mainframe PDP
    11-70; IBM 370; Disc storage 32K; Printer Standard
(LNG)  Computational system requirements - Language(s)  used: FORTRAN
(OSK)  Computational system requirements: Operator Knowledge/Skills: Con
    puter Programming; Engineering
(WTP)  hater Models - Type of model: Uater Quality/Receiving Hater
(EUV)  Environment(s) to which model applies: Estuary;  Lake;
    Stream/River; Marine
(CON)  Processes and constituents included in model: Dissolved Oxygen;
    Eutrophication/Nutrients; Erosion an<3 Sediment; Toxic Chemicals;
    Salinity; Temperature; Quality Processes
(CPL)  Complexity level of model: Transient Mass Balance;
    Multi-Dimensional
(R£F)  References - User manuals, documentation, etc.:  DiToro, 0.  M,,
    J. J. Fitzpatrick, and R. V, Thoraann,  1982,  Water Quality
    Analysis Simulation Program (HASP) and Model Verification Program
    (MVP) - Documentation,  Hydroscience, Inc., Hestuood, NY, for U.S.
    Environmental Protection Agency, Duluth, MN, Contract No.
    68-01-3872.
(CNM)  Contact name(s): Robert B. Ambrose, Jr.
(COR)  Contact organizations U.S. EPA, Athens Env. Res. Lab.
(ROR)  Responsible Organization: Office of Research and


                             1547

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                         Accession No.   18413000502    (cont)

Development. Of f ice of Environmental Processes and Effects
Research-Environmental Research Laboratory.
                         1548

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                             Accession No.   18413000503

CDQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model:  WASP Chemical Transport and Fate
    Model
(ACR)  Acronym of Data Base or Model: TOXIWASP
(NED)  Media/Subject of Data Base or Model:  Toxic Substances; Water
(ABS)  Abstract/Overview of Data Base or Model: TCXIWASP is a dynamic
    model for simulating the transport and fate of toxic chemicals in
    water bodies.  It combines the kinetic structure adapted from ths
    Exposure Analysis Modeling System (EXAMS) with the transport
    framework provided by the Water Quality Analysis Simulation Program
    (WASP), along with simple sediment balance algorithms.  TOXIWASP
    formulates variable chemical degradation rates from chemical
    characteristics of a compound and the environmental parameters of
    the aquatic system.  These rates combine calculated first order
    rates due to several processes, including hydrolysis, biolysis,
    photolysis, oxidation, and volatilization* Sorption onto sediments
    and onto biomass is calculated assuming local equilibrium, using a
    chemical specific partition coefficient, and spatially varying
    environmental organic carbon fractions*   TCXIWASP calculates total
    sediment and chemical concentrations for every segment, including
    surface Hater, subsurface water, surface bed, and subsurface bed*
    Sediment concentrations are affected by advection, dispersion, mass
    loading, settling, scour, and in the bed, by burial and erosion.
    Chemical concentrations are affected by these same processes, plus
    degradation, sediment- water dispersion, and percolation.  No
    lateral migration of chemical within the bed is allowed.  Transport
    data must be specified based on monitoring data or predictions from
    hydrodynamic models.  TOXI HASP is designed to provide WASP users
    the capability for simple dynamic simulations of chemicals,
    particularly pesticides, which enter the aquatic environment in
    pulses that cannot be simulated with steady state models.  It can
    be used for cases requiring more dynamic transport and loading
    capabilities than EXAMS, but less detailed and mechanistic sediment
    Predictions than SERATRA.  Its toxic chemical simulation
    capabilities are roughly equivalent to those in the Hydrologic
    Simulation Program in FORTRAN (HSPF). While it is less applicable
    to upland streams and one-dimensional reservoirs, TOXIWASP is more
    suited to stratified lakes and reservoirs, large rivers, estuaries,
    and coastal waters.
(CTC)  CONTACTS: Robert B. Ambrose, Jr.,  (J.S* EPA, Athens Envionmental
    Res. Lab.,  LOG: Athens, GA  30613  Ph: (404) 546-3546
(STA)  Pata Base status: Operational/Ongoing

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                             Accession No.   18413000503    Ccont)

    variations in the chemical reaction rate*   Accuracy is limited by
    scientific knowledge and precision of input data, and varies with
    application,,
(ASH)  Basic assumptions of models  TUXIfeASP is based on the following
    assumptions:  all segments are well fixed;  sorption is essentially
    instantaneous within each segment (thus local equilibrium)!
    chemical properties of the compound can be coupled with pertinent
    environmental characteristics to formulate a pseudo-first-order
    rate for each of the degradation processes; and these process rates
    combine linearly to for® a total degradation rate for th« chemical
    in each segment.  Reaction ratey can vary  over several orders of
    magnitude/ from 0 to approximately 5 per day.  An explicit,  finite
    difference solution methodology is used.
(INP)  Input to model: To set up and run, the  following data are
    needed: network divided into segments with length* depth,
    cross-sectional area, volume; dispersion coefficients; advective
    flow; boundary concentrations;  input loads; spatially variable
    environmental parameters, such as temperature, sater velocity, wind
    speed, bacterial concentrations, pH, pOH,  light extinction
    coefficients,- concentration of oxidants, density and organic
    content of sediraenty, setting velocity, sediment -water dispersion
    rates, and target biomass concentration; various chemical
    constants, including second-order rate constants for hydrolysis,
    oxidation, and bacterial degradation, Henry's low constant or
    measured volatilization rates,  photolysis  rate, anc! practition
    coefficient;  seasonal variability of various environmental
    parameters, Including temperature, wind speed, pH^ pOH, and light
    intensity; and finally, initial concentrations of chemical and
    sediment.  Hot all of the data are needed  for every application*
    Measured degradation rates, for example, can be used instead of
    most of the environmental parameters and chemical constants.   To
    calibrate and verify the model, the above  data are needed, as well
    as measured chemical and sediment concentrations throughout the
    water body at different seasons.
(OUT)  Cutput of model; Echo of input data,  fable of output variables
    at selected locations.  Spatial plot of output variables at
    selected times.  Descriptive statistics and cumulative frequency
    table of out put variables at selected location.  Peak event table
    of state variables when concentrations exceed specified level.
(APP)  Applications of model; As of January 1983, TOXISASP has been
    applied by the authors to the upper Yazoo  River, and successfully
    tested against predictions by HSPF and EXAMS for three of its
    canonical environments: pond, river, oligotrophic lake.  The
    following linkages are available: TOXIWASP can read nonpoint source
    loading files generated by HSPF and SMRV;  TOXIWASP can read and
    interpolate flows in a reach between tow USGS gages; and TOXIWASP
    can read the hydraulic file generated by the Stormwater Management
    Model, (RECEItf block, program SBFLOW).
(HDW)  Computational system requireaents - Hardware: Maniframe POP
    11-70, IBM 370 ; Disc Storage 32K ; Printer Standard
(LNG)  Computational system requirements - Language(s) used: FORTRAN
(QSK)  Computational system requirements: Operator Knowledge/Skills: Eng


                             1550

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                             Accession No.   18413000503    (cont)

    ineering
(WTP)  fcater Models - Type of model:  Hater
(EHV)  Environment(s) to which model  applies: Estuary ; Lake ;
    Stream/River } Marine
CCQN)  Processes and constituents included  in model: Toxic Chemicals ;
    Quality Processes
(CPL)  Complexity level of model: Transient Mass Balance ?
    Multi-Dimensional
(R£F)  References - User manuals, documentation, etc.: "Users Manual
    for the Chemical Transport and Fate Model (TQXIWASP), Version  l,n
    by Robert B. Ambrose, Jr., Sam I. Hill, and Lee ft. Mulkey, U.S.
    EPA, Athens, GA, sent to printer  in January/ 1983.# "Water Quality
    Analysis Simulation Program (HASP) and  Model Verification Program
    CMVP) - Documentation," by 0. M.  Dltoro, J. J. Fitzpatrick, and R.
    V. Thomann, Hydroscience, Inc, kestwood, NJ, for U.S. EPA, Duluth,
    MR, sent to NTIS in September, 1982.
(CNM)  Contact narae(s): Robert B. Ambrose/  Jr.
(COR)  Contact organization: U.S. EPA, Athens Environmental Res. Lab.
(ROR)  Responsible Organization: Office of  Research and
    Development.Office of Environmental Processes and Effects
    Research.Environmental Research Laboratory.
                             1551

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                             Accession Mo.   18413000504

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model: Metals Exposure Analysis Modeling
    System
(ACR)  Acronym of Data Base or Model: MSXAMS
(MED)  Media/Subject of Data Base or Models  Toxic Substances }  Water
(ABS)  Abstract/Overview of Data Base or Models MEXAMS, the Metals
    Exposure Analysis Modeling System/ provides a capability for
    assessing the impact of priority pollutant metals on aquatic
    systems,  it considers both the complex  chemistry that affects the
    behavior of metals and the transport pro cesses that affect their
    migration and fate*  This is accomplished by linking MINTEQ/ a
    geochemical model/, with EXAMS, an aquatic exposure assessment
    model.|   MINTEQ is a therraodynamic equilibrium model that  computes
    aqueous speciation/ adsorption and precipitation/dissolution of
    solid phases. It has a Hell-documented  thermodynamic data base that
    currently contains equilibrium constants and other accessary data
    for the following priority pollutant metals arsenic, cadmium/
    copper/ lead/ nickel/ silver and zinc.   Data on other metals will
    be added in the future.  The model «as  developed by combining the
    best features of t«o other existing geochemical models; WINEQL and
    WATEQ3.#   EXAMS is an aquatic exposure  assessment model designed
    for the rapid evaluation of synthetic organic pollutants.  Given
    the characteristics of a pollutant and an aquatic system/ EXAMS
    computes steady-state pollutant concentrations (exposure)/  the
    distribution of the pollutant in the system (fate)/ and the time
    required for effective purification of  the system (persistence).
    Its linkage to MINTEQ required several raodificatlons»#   To
    facilitate the use o.f MEXAMS^- a user interactive program was
    developed.  This program controls the operation of MINTSQ and
    EX&^S/ passes simulation results back-and-forth between the models/
    and queries the user to obtain uater quality data for input to
    MINTEQ.#   As it is currently structured/ MEXAMS can be used in a
    number of ways.  It can be used like EXAMS to perform rapid hazard
    evaluations for priority pollutant metals.  The system can also be
    used to support the interpretation of metals bioassay data.
    Finally/ and perhaps most importantly/ MSXAMS can be used as a
    frairework for defining what is and what  is not known about  the
    behavior of priority pollutant metals in aquatic systems.  This
    framework will make it possible to identify the need for and guide
    the performance of future research.
(STA)  Data Base status? Operational/Ongoing
(DF)  Date of form completion! 02-05-83
(CAP)  Functional capabilities of models MEXAMS is a steady-state
    compartment mood that calculates the distribution of a metal
    throughout an aquatic system/ including  its aqueous speciation/
    adsorption/ and precipitation or dissolution.  Segments can be
    configured into one-/ two-/ or three- dimensional networks  that
    include surface and subsurface water and bed.  MSXAMS calculates
    metal migration using the mass conservation principle.  Speciation
    is calculated using an equilibrium constant approach wherein a
    series of mass action expressions are solved subject to mass
    balance constraints on each chemical component. Adsorption  is


                             1552

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                             Accession No.   18413000504    (cent)

    treated s being analogous to aqueous speciation, «ith six
    algorithms available:  an activity partition coefficient, an
    "activity" Langmuir isotherm, an "activity" Frundlich isotherm, an
    ion exchange activity ratio, the constant capacitance model, ana"
    the triple layer model*  Dissolution of solid metal or
    precipitation to the solid phase is calculated for equilibrium
    conditions.f   The user of HEXAMS must  be aware of its limitations.
    First,  simulations are limited to those metals uith measured
    equilibrium constants an accessary data in the thermodynamic data
    base: As, Cd, Cu, Pb,  Hi, Ag, and Zn.  Other metals will be added
    as funds permit. Second, although HEXAMS contains default values
    for fulvic and hmale acids its data base for organic complexation
    is limited.  For sites where this is important, local data should
    be gathered and used.  Third, although the kinetics of
    precipitation/dissolution, extidation/  reduction, and adsorption
    may be important, MSXAMS calculates equilibrium values only.
(ASM)  Basic assumptions of model: HEXAMS is based on the following
    assumptions: all segments are well mixed; environmental conditions
    and loadings are at steady state; speciation, adsorption, and
    precipitation/ dissolution reactions are at equilibrium, and can be
    described by a set of mass action expressions.
(INP)  Input to model: To set up and run MSXAMS, two data files are
    needed: one for EXAHS and another for MINTEG.  EXAMS calculates the
    distribution of a metal throughout the  aquatic system based on the
    following input data:  loadings for each sector; system geometry and
    hydrology, including volumes, areas, depths, rainfall, evaporation
    rates,  tributary and nonpoint source inflows and sediment loads,
    and groundwater flows; advective flows; and dispersion
    coefficients. MINTSQ calculates the speciation of a metal based on
    two types of data:f 1)  thermodynamic data anc  2)  water quality
    data.  The thermodynamic data are equilibrium constants, heats of
    reaction and other basic information required to predict the
    formation of each species or solid phase.  The water quality data
    are the physical and chemical properties of the water body being
    analyzed.  The user only has to generate the water quality data in
    order to use MINTEQ.  The thermodynamic data are contained in a
    data base that accompanies the model.  This data base is constantly
    being updated and expanded as new or improved data become
    available.#   Presently, 55 chemical components can be considered
    by f*INTEQ. While accuracy is generally  improved with more water
    chemistry data, the user does not have  to specify all components.
    Many do not react with other components, or are present only in
    very low concentrations. The following  data are important: pH (most
    important), Eh or pE (for elements affected by redox reactions such
    as Fe,  Mn, Cu, As, U,  and V), temperature, ionic strenght
    (optional, computed internally), major  anions (most important are
    carborate and sulfate), and major cations (most important are
    calcium and magnesium).  Other trace constituents may be important:
    hydrogen sulfide, orthophosphorus, fluoride, iron and manganese,
    aluminum, barium, and strontium.
COOT)  Output of model; MEXAMS provides the user with two sets of
    simulation results: 1) details on metal speciation, sorption and


                             1553

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                             Accession No,   18413000504    (cont)

    precipitation in each compartment and 2} exposure, fate and
    persistence predictions for the aquatic system.   The first set of
    results are provided by MIRTEQ? the second set is provided by
    EXAMS.   The EXAMS users manual and documentation report provides a
    detailed description of the EXAMS output.  The only change is  the
    addition of the quantity of precipitated metal to the tables that
    summarize model results.  MINTEQ output is cdisposed of 6 sections:
    1. original sample description/ 2. therraodynamic and accessory data
    for species/ 3. initial charge balance information/ 4. convergence
    pattern for first component/ 5. values for ail specie types and a
    percentage distribution of components/  and 6. the final charge
    balance following aqueous speciation.
(APP)  Applications of model: Although MINTEQ and EXAMS have been
    tested  on a number of problems/ the linked MEXAMS has undergone
    internal testing only (as of spring/ 1983).
(HDy)  computational system requirements - Hardware: Disc Storage  32K
(LUG)  Computational system requirements - Language(s) used: FORTRAN
(OSK)  Computational system requirements: Operator Knowledge/Skills: Eng
    ineering
(WTP)  Hater Models - Type of model: Hater Quality/Receiving Water
(ENtf)  Environment(s) to which model applies: Lake / Stream/River  >
    Wetlands
(CON)  Processes and constituents included in model: Toxic Chemicals }
    Quality Processes
(CPL)  Complexity level of model: Steady State Mass Balance ;
    Multi-Dimensional
(REF)  References - User manuals/ documentation/ etc.: Felay/ A. R./
    Broun/  S. M./ Gnishi, ¥./ Argo/ R. S./  Yabusaki/ S. B./ "HEXAMS -
    The Metals Exposure Analysis Modeling System/" Battelle PML/
    Richland/ WA/ for U.S. EPA/ Athens/ GA/ 1933, in press.S Felray, A*
    R./ Jenne/ E. A./ Girvin/ D. C./ "MINTEQ - A Computer Program  for
    Calculating Aqueous Geocheraical Equilibria," Battelle PML/
    Richland/ HA/ for U.S. EPA/ Athens/ GA/ 1983, in press.
(CNN)  Contact narae(s): Robert B. Ambrose/ Jr.
(COR)  Contact organization: U.S. EPA/ Athens Env. Res. Lab.
(ROR)  Responsible Organization: office of Research and
    Development.Office of Environmental Processes and Effects
    Research.Environmental Research Laboratory.
                             1554

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                             Accession Mo.   18417000506

(DQ>  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Water Analysis Assimilation for
    Toxic Chemicals
(ACR)  Acronym of Data Base  or Model:  HASTDX
(NED)  Media/Subject of Data Base or Model:  Toxic Substances;  Hater
(A8S)  Abstract/Overview of  Data Base or Model:  HASTUX is a
    batch-oriented computer  program which solves the mass balance
    equations that define the fate of toxic  chemicals in aquatic
    systems.   The model provides time variable solutions to these
    questions and will eventually handle steady state solutions*  The
    mass balance equation for a specified volume describes the mass
    rate of change of the chemical due to the net effects of various
    fluxes and transformations.  The purposes of the modeling  framework
    are twofold: the first relates to the general hazard allocation
    procedures.  Such analyses may usually be accomplished by  means of
    the spatial steady state distributions.   The second general purpose
    relates to the time/variable aspects of  the problem.  Such analyses
    apply to the effects of  a short-term release of a toxicant, such as
    an accidental spill or a storm overflow  discharge.  An equally
    important application in this regard is  directed to the time
    required to build up to  steady state and, perhaps more
    significantly, the time  required to cleanse a system from  existing
    contamination.

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                             Accession No.   18417000506     (cont)

    functions/  sediment depth,  depth of sediment surface/  sediment
    segment area,  pH of segment/  temperature of segment/ concentration
    of compound degrading bacteria,  rate constants for  fate processes*
    photolysis  parameters, and  Initial conditions.
(OUT)  Output of model? Model provides toxicant concentration profiles
    in tine and space for estuaries/ streams and other  aquatic systems.
    It Kill give both disolved  and particulate  concentrations and
    concentration with depth in sediment.
(App)  Applications of model: The model can be  used to  predict exposure
    concentrations of toxic substances in estuaries/ rivers and other
    aquatic systems for both water column and sediment.  Future sub
    routines will include steady state analysis/ food chain
    bio accumulation and a toxicity model.  Kinetic subroutines have
    been developed to provide the user with the capability to alter the
    transfer and reaction formulations or to add additional kinetic
    processes.
(HDW)  Computational system requirements -  Hardware: Mainframe POP
    117C; Disc  Storage 25/000 Word Core Storage* Printer 132 Position
    Line Printer
(L8G)  Computational system requirements -  Language(s)  used: FORTRAN
COSK)  Computational system requirements: Operator Knowledge/Skills; Eng
    ineering
(WTP)  Water Models - Type of model: later  Quality/Receiving Water;
    Exposure Assessment Model
(ENtf)  Environment(s) to which  model applies: Estuary;  Lake;
    Stream/River;  Marine
(CON)  Processes and constituents included in model: Toxic Chemicals;
    Salinity; Temperature; Hydrology
(CPL)  Complexity level of model: Transient Mass Balance;
    Multi-Dimensional
(REF)  References - User manuals, documentation/ etc.:  Connolly/ J»P.
    WASTQX: Preliminary Estuary and Stream Version Documentation Report
    to fS EPA/  Environmental Research Laboratory/ Gulf  Breeze/ FL.
    July/ 1982.
(CMM)  Contact  name(s): John P. Connolly
(COR)  Contact  organization: Manhattan College
(ROR)  Responsible Organization:  Office of  Research and
    Development.Office of Environmental Processes and Effects
    Research,Environmental Research Laboratory.
                             1556

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                             Accession No«  19014000901

(DQ)  Date of Questionaire: 12-02-82
(NAN)  Name of Data Base of Models STREAM 7B
(ACR)  Acronym of Data Base or Model: STREAM 7B
(MED)  Media/Subject of Data Base or Model:  Mater
CABS)  Abstract/Overview of Data Base or Model; Stream 7 b is a
    one-ditnenslonal steady - state model characterized by first-order
    or coupled first- order reaction kinetics.   It is primarily
    intended for use in the analysis of biochemical oxygen demand (BOO)
    and dissolved oxygen (DO), although it may be applied for any other
    parameter assumed to follow first-order reaction kinetics*
(CfC)  CONTACTS: Eric P. Hall  U.S. EPA Region I
    Loc: JFK Federal Bldg, Boston, MA Ph: (617) 223-5061
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-26-83

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                             Accession No.   19014000901    (cont)

(COR)  Contact organization:  U.S. EPA Region I
(ROR)  Responsible Organization: Region I.Administrative Services
    Division.
                             1558

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                             Accession Ho,   19024000901

(DQ)  Date of Questionaire:  12-02-82
CNAM)  Name of Data Base of Model;  «ater Quality Feedback Model
(ACR)  Acronym of Data Base or Models FED8AK03
(01> and/or changing the reaction  rate constants for any
    reactants and repeating several steps.   A second option is the
    computation of dissolved oxygen deficit  and the corresponding
    dissolved oxygen concentration by selecting the reaction schemes
    producing the deficit and the associates tochiometric coefficients.
    As presently written, the program can accomodate a multi-
    dimensional system of up to 60 sections  and each section can have a
    maximum of six interfaces.  The maximum  number of reactants is such
    that when multiplied by the number of sections, it cannot exceed
    120.  This present limitation can easily be expanded.

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                             Accession No.   19024000001    (cont)

(APP)  Applications of model: FEDBAK03 can  be used for the calculation
    of BOD deficit and nitrification. TECHNICAL CONTACT: George A.
    Nossa and Tom O'hare Environmental Systems Section Information
    Systems Branch 2PM-IS U.S. Environmental Protection Agency 26
    Federal Plaza New York, Neu York 10278  FTS 264-9850  COM
    212/264-9850
(HDW)  Computational system requirements -  Hardware:  Mainframe IBM  370
    ;0isc storage 140 K core

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                             Accession No.   19024000002

(DQ)  Date of Questionaite:  12-02-82
(NAM)  Name of Data Base of Model:  Estuarine fciater Quality Model
(ACR)  flcronym of Data Base or Model:  ESOOl

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                             Accession No.   19024000002    (cont)

    all system inflows, temperatures, benthic oxygen demand,  algal
    photosynthesis, respiration, and other  rate coefficients, residual
    inputs from point sources, uniform waste input,  salinities at
    seaward boundaries, tidal exchange coefficients, and temperature
    correction factors.  Constituent concentrations  throughout the
    system and observed salinity patterns are needed for verification.
(OUT)  Output of model: Output information  provided  by the model
    includes a tabular print-out of the input data,  BOD concentration
    and DO deficits at ten equidistant points per segment, and a number
    of satrices (DO deficit matrix, BOD matrix, and  inverted  DO deficit
    jaatrix).
(CSR)  Computational System Requirements: SS001 is written in FORTRAN
    IV and may be installed on an IBM System/370 or  equivalent. A
    region size of 245K is utilized by the  program,  and 2-6 manweeks
    are needed for data preparation and programming. At least one
    programmer or environmental engineer familiar uith computerized
    modeling is required to fulfill the manpower needs, A later version
    of the ES001, the SS002, is designed to run on an IBM 1130 system.
(APP)  Applications of model: ES001 Mas developed by Sydroscience,
    Inc., for the Federal Water Pollution Control Administration
    (FWPCA) in the Mater Quality for the Hudson-Chaicplain and
    Metropolitan Coastal Mater Pollution Control Project in 1968.   The
    model was one of several simulation programs used to evaluate  water
    quality for the Neu York Harbor Complex and parts of the  Rarltan
    and Hudson Rivers.  Since then, ES001 has found  other applications.
    TECHNICAL CONTACT: George A. Mossa and  Tom G'Hare Environmental
    Systems Section Information Systems Branch 2PK-IS U.S.
    Environmental Protection Agency 26 Federal Plaza New York, New  York
    10278 FTS 264-9850  COM 212/264-9850 Steven C« Chapra NOAA Great
    Lakes Environmental Research Laboratory 2300 Sashtenau Avenue  Ann
    Arbor, Michigan 48104 FTS 378-2250  COM 313/668-2250
(HOW)  Computational system requirements -  Hardware: Mainframe IBM  370
    or equivalent ;Disc storage 245K
Hyd Quality processes

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                             Accession No.   19024000002    Ccont)

(CNM)  Contact narae(s):  Nossa/G.A.
(COR)  Contact organization: EPA/ Environmental Systems Section
    Planning and Management
(ROR)  Responsible Organization:  Region II.Assistant Regional
    Administrator for Policy.
                             1563

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                             Accession No.   19024000003

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Kama of Data Base of Model: Outfall  Plume Model
(ACR)  Acronym of Data Base or Model: PLUME
(MED)  Kedia/Subject of Data Base or Model: Water
CABS)  Abstract/Overview of Data Base or Model:  PLU^S Is a computer
    program which can be used to evaluate coastal waters, lakes/  or
    estuaries under consideration as disposal sites.  It is designed to
    evaluate and/or predict the length of outfall needed to adequately
    dilute a proposed discharge In order to provide compliance with
    Mater quality standards,  The model was developed by the U.S, EPA
    Environmental Research Laboratory in Corvallis, Oregon, and it has
    been used by the San Juan Field Office  of the U.S. EPA to aid in
    the location and analysis of ocean outfalls,
(CTC)  CONTACTS: George A. Nossa and Tom Q'Hare (2PM-IS)     EPA, Envi
    Systems Section, Information Systems Branch
    Loc: 26 Federal Plaza, New York, NY 10278   Ph: (212) 264-9850
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 02-24-83
(CAP)  Functional capabilities of rocdel: PLUME simulates the three
    dimensional (two dimensions in the horizontal plane and one
    dimension in the vertical plane) initial dilution of the effluent
    pluite of residuals in lakes, coastal Haters, and estuaries.  Some
    of the factors which can be evaluated by PLUME include the effects
    of onshore currents, tides, density and salinity gradients, ambient
    surface and hypolinanetic velocities, the initial jet velocity, the
    quantity of discharge, the slope of the ocean bottom, and the rates
    of coliform die-off in the vicinity of  outfall locations.  The
    model simulates a stratified aquatic environment, and up to 50
    layers are peraitted, PLCMF, is sensitive to discharged fluid
    density and flow rate, and also to extent of stratification.   The
    model is also sensitive to the physical features of the outfall -
    the diameter of openings, the number of ports, and the port depth.
(ASM)  Basic assumptions of model: The model simulates the behavior of
    a buoyant, round effluent plume being discharged into a non-
    flouing water body where it considers the density differences
    between freshwater (with residuals) and saltwater masses. The model
    does not simulate the transport of discharged residuals by
    mechanisms other than mixing and dilution of fluids with different
    densities, and it assumes no water flow other than the
    plume-Induced movement,  A steady-state, stratified aquatic
    environment is assumed.
(IBP)  Input to model: Input to the PLUME program should be in
    card-image form, Initial setup/calibration needs include:  (1)
    water temperature profile (with depth), (2) salinity or density
    profile (with depth), (3) effluent flow rate, (4) effluent density,
    and (5) the outfall features such as the port diameter, number of
    discharge points, depth of discharge points, and the angle of the
    discharge points to the horizontal plane.  The initial constituent
    concentration throughout the plume is needed for verification.
(OUT)  Output of model: The model provides  a tabular printout of the
    following output information:  (1) labeled input values, (2)
    constituent dilution along the plume center line, and (3i) the depth


                             1564

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                             Accession No.   19024000003    (cont)

    at which the plume stabilizes.
(CSR)  Computational System Requirements:  PLUME is coded in FORTRAN IV
    and requires a FORTRAN IV compiler. The program is compatible with
    the IBM 370/155 and requires 10,000 words of core storage.   Up to
    one man-week is necessary for data preparation, and only one or two
    man-hours for output interpretation.  PLUME requires one computer
    programmer or a hydraulics engineer with environmental modeling
    experience.
(APP)  Applications of model: Outfall plums was developed by the U.S.
    EPA Environmental Research Laboratory  in Corvallis, Oregon, and the
    model has been used by the San Juan Field Office of the U.S. EPA to
    aid in the location and analysis of ocean outfalls. PLUME has  also
    found other applications and other users. TECHNICAL CONTACT:*
    Richard J. Callaway U.S. Environmental  Protection Agency Corvallis
    Environmental Research Laboratory 200  S£ 35th Street Corvallis,
    Oregon 97330 FTS 420-4703  COM 503/757-4703 George A. Hossa and fora
    Q'Hare Environmental Systems Section Information Systems Branch
    2MP-IS 26 Federal Plaza New York/ New  York 10278 FTS 264-9850   COM
    212/264-9850.
(HDD)  Computational system requirements -  Hardware: Mainframe IBM
    370/155 ;[)lsc storage 10,000 words of  core sto
(LNG)  Computational system requirements - Language(s) used: Fortran IV
(OSK)  Computational system requirements:  Operator Knowledge/Skills: Pro
    gramming ;hydraulics engineer with environmental modeling
(BTP)  tiater Models - Type of models Water  quality
(ENV)  Environment (a) to which model applies: Estuary ;Lake Marine
(CON)  Processes and constituents Included in model: Salinity
    ^Temperature ^Hydrology ^Quality processes
CCPL)  Complexity level of model: steady state mass balance ;multi
    dimensional
(REF)  References - User manuals, documentation, etc.:
    Bauirgartner, D.J. and D.S. Trent/ "Ocean Outfall
    Design:  Part I, Literature Review and Theoretical Development."
    Report by FHPCA, Mashington, D.C., 1970.
    Baumgartner, D.J. and D.S. Trent, "User's Guide and
    Documentation for Outfall Plume Model."  forking Paper #80
    by U.S. SPA Pacific Northwest Mater Laboratory, Corvallis,
    Oregon, 1971.
    Burchett, M. E., G. Tchobanglous, and A*J. Burdoin, "A practical
    Approach to Submarine Outfall Calculations".  Public Works.
    5, 95, 1967.
    Callaway, R.J., "Computer Program to Calculate ERF".  EPA
    Pacific Northwest Environmental Research Laboratory, Corvallis,
    Oregon, 1973.
    Guthrle, D.L., "Documentation for Outfall:  A Computer Program
    for the Calculation of Outfall Lengths Based upon Dilution
    Requirements."  U.S. Environmental Protection Agency, San
    Juan Field Office, Santurce, Puerto Rico, 1975.
CCNM)  Contact name(s): Nossa,G.A.
(COR)  Contact organization: EPA, Environmental Systems Section,
    Information Systems Bran
(ROR)  Responsible Organization: Region II.Assistant Regional


                             1565

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                         Accession No.   19024000003    (cont)
Administrator for Policy.
                         1566

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                             Accession So.   19024000004

(DQ)   Date of Questionaire:  12-02-82
(HAH)  Uame of Data Base of Model:  Stream Network Simulation Program
(ACR)  Acronym of Data Base or Model:  SSSIM
(MED)  Hedia/Sub3ect of Data Base or Models Hater
(ABS)  Abstract/Overview of Data Base or Model:  SKSIM is a computer
    program for the steady-state water quality simulation of a stream
    network.   Its basis is an expanded form of the Streeter-Phelps
    equation, and it is designed to evaluate and/or predict the DO  and
    the carbonaceous and nitrogenous BOD profiles in a river or stream
    where the effects of dispersion can be  assumed to be insignificant*
    This environmental model is ideal for the evaluation of various
    water treatment schemes, as its basic control variable is waste
    input*
(CTC)  CONTACTS:  George A. Nossa and Ton Q'Hare    U.S. SPA,
    Environmental Systems
    Loc: 26 Federal Plaza, Hew York, NY 10278   Ph: (212) 264-9850
(STA)  Data Base status: Operational/Ongoing
(DF)   Date of form completion: 02-24-83
(CAP)  Functional capabilities of model: SUSIM can be used to formulate
    a steady-state, one-dimensional simulation model of a stream
    network*   The stream network consists of a river and its
    tributaries which are segmented into sections of constant
    hydrologic, physical, chemical, and biological parameters. Loads
    may be applied pointuise at the ends of the  section or as
    distributed sources along its length.  BOD loads include
    carbonaceous and nitrogenous point loads and distributed loads,
    while DO deficit loads include  the distributed loads of benthal
    demand and photosynthetic demand.   Point sources of both 8QD and DO
    deficit from minor tributaries  can be input  at the ends of a
    section/  and background loads of BOD and DO  deficit can be
    introduced at the system's upstream ends.  SNSIM is limited to
    combining a maximum of 4 tributaries at one  confluence, and the
    number of reaches that may be stored at one  time is 10, but these
    limits may be expanded by changing the  dimension statements for
    these variables.
(ASM)  Basic assumptions of model:  This model typifies the sanitary
    engineering approach in that its emphasis is on relating nan's
    waste inputs to the aquatic environment with the express purpose of
    managing the inputs and thus the water  quality.  An expanded form
    of the Streeter-Phelps equation is the  basis of the SNS1M computer
    program, and the model is designed to evaluate and/or predict the
    dissolved oxygen, and the carbonaceous  and nitrogenous SOD profiles
    in a river or stream where the  effects  of dispersion can be assumed
    to be insignificant.
(INP)  Input to model: SNSIH requires an input data stream which must
    be in card-image form.  For each reach the following information
    should be provided:  instreara flow, instream carbonaceous demand,
    instream nitrogenous demand, instream DO deficit, increment size
    for a section output, an integer representing the reach number  of
    the starting mile-point, the number of  sections in the reach, the
    number of tributaries or reaches to be  combined, and the indicator
    which designates if the reaeration rate is to be input or computed.


                             1567

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                             Accession No.   19024000004    (cent)

    A control variable Mhlch indicates if the stream depth, flow,  and
    velocity are to be computed by exponential correlation equations
    may also be used. The section length* stream depthy stream
    velocity/ Haste or effluent flow at the head of the section,
    effluent COD, effluent MOD, effluent DO deficit, tributary flow at
    the head of the section, and the ratio  of ultimate to 5-day BOD are
    needed.   In addition, the tributary COD, tributary NOD, the
    tributary DO deficit, water temperature, carbonaceous BCD
    deoxygenation rate, carbonaceous BOD decay rate, nitrogenous  BOD
    decay rate, reaeration rate, algal oxygen rate, benthic oxygen
    demand,  the carbonaceous and nitrogenous bank loads, and the
    altitude above sea level are required.
(OUT)  Output of model: Reports produced by the SNSIM program include
    the input parameters for each reach, as well as converted reaction
    rates, section numbers, section names,  distance downstream, CBQD,
    WBOD, DO, flou/ deficit components, and the total deficit for  each
    reach*
(CSR)  Computational System Requirements: the SNSIM/1 is written  in
    FORTRAN  IV for use on the IBM 370/155 in a 16K area of core
    storage*  It may also be modified for compatibility with the  IBM
    1130 (SNSIM/2).  At least one programmer or environmental engineer
    with experience in water quality modeling are needed for the  model.
(APP)  Applications of model: SNSIM has been used for various
    applications within the Environmental Protection Agency. TECHNICAL
    CONTACT: George A. Nossa and font O'Hare U*S« Environmental
    Protection Agency Environmental Systems Section Information Systems
    Branch 2PM-IS Management Division 26 Federal Plaza New York,  NY
    10278 FTS 264-9850  COM 212/264-9850 Steven C. Chapra NOAA Great
    Lakes Environmental Research Laboratory 2300 bashtenau Avenue  Ann
    Arbor, Michigan 48104 FTS 378-2250  COM 313/668-2250
(HDM)  Computational system requirements -  Hardware: Mainframe IBM
    370/155  >Disc storage 16K core storage
(LNG)  Computational system requirements -  Language(s) used: FORTRAN IV
(OSK)  Computational system requirements: Operator Knowledge/Skills^ Pro
    gramraing ^Environmental engineer with water quality model experience
(WTP)  later Models - Type of model: Mater  quality
    Water run-off
(E8V)  Environment(s) to which model applies: Stream/river
(CON)  Processes and constituents included  in model: Dissolved oxygen
    jEutrophication ^Hydrology }Quality process
(CPL)  Complexity level of model; steady state mass balance jone
    dimensional

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Accession So.  19024000004    (cont)
1569

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                             Accession No.  19024000006

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model; tiiater Quality Model
(ACR)  Acronym of Data Base or Model: HAR03
(MED)  Media/Subject of Data Base or Models Mater
(ABS)  Abstract/Overview of Data Base or Model: HAR03 is a computer
    program for the modeling of water quality parameters in
    steady-state multi-dimensional natural aquatic systems.  The
    technique underlying the program is based on the La« of
    Conservation of Mass, and the program can handle up to two
    variables reacting in a feed forward fashion with first order
    kinetics.  The computer program from which HAR03 evolved was
    developed by Hydroscience, Inc., for the Massachusetts Mater
    Resources Commission.  HAR03 utilizes a numerical solution
    technique to a convective-diffusion equation for mass transport
    including decay and source terms.
(CTC)  CONTACTS: George A. Nossa and Ton O'Hare   U.S. EPA,
    Environmental Systems Section/ Information Sys. Branch
    Loe: 26 Federal Plaza, Sew York, NY 10278   Ph: (212) 264-9850
(STA)  Data Base status: Operational/Ongoing

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                             Accession No.   19024000006    (cent)

    printouts of the input system parameters,  section temperatures,
    volumes and depths, chloride boundary load,  BOO rates and loads,
    correction factors, deoxygenation and reaeration rates,  and BOD-DO
    deficits for each section in the system.
(CSR)  computational System Requirements: HAR03  has been designed  for
    an IBM System/370 computer,  and it Is written for a FORTRAN IV G  or
    H level compiler.  The program requires approximately 184 K of
    storage, but in order to save core storage for small systems,  HAR03
    has been compiled in three versions.   The  first version handles  a
    system of up to 50 segments  and is designated HAR50; similarly,
    HAR100 and HAR200 can handle a maximum of  100 and 200 segments
    correspondingly.  The only difference between these versions Is  in
    the size of the arrays defined in the programs.  At least one
    programmer and environmental engineer familiar with water quality
    modeling are required to fulfill the  resource requirements of  the
    model.
(APR)  Applications of model: HAR03 has been used by the EPA for
    various applications. TECHNICAL CONTACT:  George A. Nossa and foa
    O'Hare U.S. Environmental Protection  Agency  Environmental Systems
    Section Information Systems  Branch 2PM-IS  26 Federal Plaza New
    York, Hew York 10278 FTS 264-9850  COM 212/264-9850 Steven C.
    Chapra NQAA Great Lakes Environmental Research Laboratory 2300
    Hashtenaw Avenue Ann Arbor,  Michigan  48104
(HDH)  Computational system requirements  - Hardware: Mainframe IBM 370
    >Disc storage 184K
(LNG)  Computational system requirements  - Language(s) used: FORTRAN  IT
    G or H
(OSK)  Computational system requirements: Operator Knowledge/Skills:  Pro
    gramming ;environmental engineer familiar  with water qual modeling
(WTP)  Water Models - Type of model: Water quality
(ENV)  Environment (s) to which model applies:  Estuary ;Lake
    ;Stream/river /Marine
(CON)  Processes and constituents included in  model: Dissolved oxygen
    jEutrophication /Salinity ^Temperature ;Hyd  Quality processes
(CPL)  Complexity level of model: steady  state mass balance >one
    dimensional ;muiti dimensiona
(REF)  References - User manuals, documentation, etc.:
    Chapra, S.C., and Mossa, G.A., Documentation for
    HAR03:  A Computer Program for the Modeling  of Mater Quality
    Parameters in Steady State Multi-dimensional Natural Aquatic
    Systems, U.S. Environmental  Protection Agency, Region II,
    26 Federal Plaza, New York,  New York, October 1974.
(CMM)  Contact name(s): Nossa,G.A.
(COR)  Contact organization: U.S. EPA, Environmental Systems Section,
    Information Sys. Br
(RQR)  Responsible Organizations Region II.Assistant Regional
    Administrator for Policy.
                             1571

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                             Accession No.   19036000101

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model: Receiving Hater Model
(ACR)  Acronym of Data Base or Model:  DIURNAL

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                             Accession No.   19036000101     (cont)

    (upstream BOD/  upstream NBOO and Fourier coefficients of upstream
    DO).  The individual  segment data Include the following; section
    length,  velocity/  temperature/  react at ion rate/  and  decay rates
    (carbonaceous and  nitrogenous).  Other information includes bottom
    demand,  hours of daylight/  maximum photosynthetic rate*
    respiration/  time  of  sunrise/ stream flow and segment elevation.
    Discharger information includes/ DO/ flow, BOB and NOD,   Segment
    characteristics and discharger  information is repeated for each
    segment  modeled.
(OUT)  Output of  model; DIURNAL produces a  tabular printout  of section
    parameters and dissolved oxygen response.  The section parameters
    include; length/ velocity/  temperature/ flow, reaeration and decay
    rates/ benthic rates  and photosynthesis and respiration  rates.   The
    DO response table  includes  hourly dissolved oxygen values/ for  24
    hours/ for the beginning and the end of the segment and  any
    intermediate  point designated by the print interval.
(CSR)  Computational System Requirements: DIURNAL is coded in FORTRAN
    IV (G) and can be  run on a  digital computer with a 40/000 word  core
    storage  capability; FORTRAN IV  (G) compiler.  Application of the
    model results in minimal costs/  in the  range of SI - $2  per run*
    depending on  the number of  segments.  Approximately  1-man seek  is
    required for  model setup and data preparation. Initial runs on  a
    companion model is necessary to establish appropriate velocities
    and rates.  Manpower  requirements include one environmental
    engineer with a basic programming background.
(APP)  Applications of models DIURNAL can be used on any stream where
    it is assumed that the primary  cause of the diurnal  variation of
    the dissolved oxygen  is the algal oxygen production. TECHNICAL
    CONTACT: Thomas Henry (3MA14) O.S. Environmental Protection Agency
    Region III Curtis  Building  6th  and Walnut Street Philadelphia/  PA
    19106 FTS 597-8048  COM 215/597-8048
(HDW)  Computational system requirements -  Hardware: Mainframe any
    digital  computer /Disc storage  40K core
(LNG)  Computational system requirements -  Language(s) used; Fortran IV
    (G)

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                             Accession No,   19038000913

(DQ)  Date of Questionnaires 12-02-82
(MAM)  Raffle of Data Base of Model: Dynamic Estuary Model
(ACR)  Acronym of Data Base or Model: DEM
(MED)  Media/Subject of Data Base or Model; Hater

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                             Accession No.   19038000913    (cont)

    referenced to the sane network of channels and junctions.  The
    tidally fluctuating velocities, flows/  and heads predicted by  the
    hydraulic model are stored on tape or disk and are the basis of the
    hydraulic inputs to the quality program.   Constit- uents in the
    quality program are subject to the processes of advectlon,
    dispersion (including both eddy diffusion and disper- sion due to
    density currents)/  biological and/or chemical decay/ transfer
    between water and the atmosphere/ and transfer between water and
    the bottom sediments.  A mass balance for each con- stltuent is
    performed at each junction for each time  step*  the quality sodel
    predicts the dynamic (time varying) constituent concentrations in
    each junction which result from a specified set of boundary
    conditions/ inflows/ waste discharges/  and diversions.  It is
    important that the  tine and space scales  used in the DEM
    approximate as nearly as possible the physical/ tidal/ and climatic
    characteristics of  the estuary.  Special  attention should be paid
    to the correspondence of model net- work  features with existing
    sampling stations and wastewater Inputs.
           The DEM is sensitive to (1) the time step in the hydraulic
    program (stability reasons); (2) net flows; (3) residuals loading
    rates; (4) frictional resistance coefficient; (5) initial condi-
    tions if "real time" solutions are desired; and, (6) the specified
    reaction kinetics and rates.
           The Dynamic  Estuary Model has been run for networks with as
    many as 1300 channels and 840 junctions.   Some versions have
    modeled up to 15 constitutents,
(ASM)  Basic assumptions of model: The model  assumes that vertical
    stratification is either absent or limited to relatively small
    areas/ and it does  not handle wind stress or tidal flats exposed at
    low tide. Other hydrodynamic processes assumed negligible Include
    longitudi- nal density gradients/ Corlolis acceleration/ and bottom
    slope. The instantaneous mixing of residuals discharge throughout
    June- tions is also assumed.
(INP)  Input to model:  The DEM requires a large input data base on
    disk/ tape/ and/or  cards.  Parameters which need to be specified
    include headwater and tributary flows/ wastewater flows and
    loadings/ water withdrawals, seaward tidal conditions/ channel and
    junction geometry/  bottom roughness of each channel/ constituent
    concen- trations at boundaries, dispersion coefficients and decay
    rates for non-conservative constituents.   Physical data pertaining
    to channels and junctions can be obtained from navigational charts
    since direct measure- ments are seldom available.
(OUT)  Output of model: The model is capable of producing a wide
    variety of out- puts.  Output options available are: (1) maximum
    and minimum flows/  heads/ and velocities/ as well as net flows,
    over a tidal cycle for the model network, (2) maximum, minimum, and
    average con- stituent concentrations for each junction over a
    complete tidal cycle (or other specified averaging interval), <3)
    "slack water" and "snapshot" tables of constituent concentrations
    at desired time intervals throughout the simulation, and (4)
    line-printer plots of both spatial and temporal concentration
    profiles.


                             1575

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                             Accession No.   19038000913    (cont)

(APP)  Applications ot model: The Dynamic Estuary Model has been used
    by the EPA for the Pearl Harbor Water Quality Model development
    project. It was originally developed by the Water Resources
    Engineers for the Division of Water Supply and Pollution Control of
    the Public Health Service/ and it has been used by the Federal
    Water Pol- lution Control Administration Salinity jfemperature  ;Bio Hydraulics ;Quality
    processes
(CPL)  Complexity level of model: Steady state mass balance ^transient
    mass balance /Momentum One dimensional

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                             Accession So.   19038000913     (cont)

    Environmental Protection Agency,  Systems Development Branch.
    Washington/  D.C.,  1974.
(ROR)  Responsible Organization:  Region III.Environmental Services
    Division.
                             1577

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                             Accession No.   19046000005

(DQ)  Date of Questioaaire:  12-02-82
(NAM)  Name of Data Base of Model:  Georgia  Dosag
(ACR)  Acronym of Data Base or Model:  GADQSAG
(MED)  Media/Subject of Data Base or Model:  Water
(ABS)  Abstract/Overview of Data Base or Model; A  dissolved oxygen
    model based on the modified Streeter Phelps equation/  with  options
    for incremental runoff,  an extra non-conservative  variable,  a
    converge to set Dissolved Oxygen routine/ and  numerous Haste
    inputs. The model runs on a 9845 or 9831 Hewlett Packard mini
    computer and is a user interactive program*
(CTC)  CONTACTS: James Greenfield    Mater  Quality Standards
    Loc: EPA-Region 4 Atlanta, GA 30365    Ph:  (404) 881-4793
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 12-23-82
(CAP)  Functional capabilities of model; The model is  a  steady  state,
    one dimensional, and one stretch model.
(ASM)  Basic assumptions of model:  The model is based  on the modified
    Streeter Phelps equation which predicts dissolved  oxygen deficits
    based on Instream concentrations of carbonaceous and nitrogenous
    BOD and their respective reaction rates and the reaeration
    characteristics of the stream.   Inputs  are entered by modeler,
    there are no default values.
(INP)  Input to model: Waste treatment facility effluent flow,
    carbonaceous biological oxygen demand,  nitrogenous biological
    oxygen demand and Dissolved oxygen; Instream concentrations of
    CEDE/ NBOD, and D.O.; and stream velocity and  flow measurements.
(OUT)  Output of model: Dissolved oxygen concentrations  along the
    modeled stream segment,  the carbonaceous biological  oxygen  demand
    and nitrogenous biological oxygen demand predicted concentrations,
    and graphs of any of the variables in the model.
(App)  Applications of model: Used by the State of Georgia to set
    effluent limits for the waste dischargers.  TECHNICAL CONTACT:  James
    Greenfield Water Quality Standards Region IV,  EPA, Atlanta, GA
    30365 FTS  257-4793
(HDM)  Computational system requirements -  Hardware: Mainframe
    Hewlett-Packard 9845 or 9831 ^Printer Thermal  80 c
(LNG)  Computational system requirements -  Language(s) used: Basic
(QSK)  Computational system requirements: Operator Knowledge/Skills: Kno
    uledge of water modeling
(STP)  Water Models - Type of model: Mater  quality
(SNV)  Environment(s) to which model applies: Stream/river
(CON)  Processes and constituents Included in model: Dissolved  oxygen
    ;Temperature ^Hydrology ;Hydraulics
(CPL)  Complexity level of model: steady state mass balance ;one
    dimensional
(REF)  Peferences - User manuals, documentation,  etc.:
    Georgia DOSAG USER Manual
(CNM)  Contact name(s): Greenfield,J.
(COR)  Contact organization: Water Qulity standards
(ROR)  Responsible Organization: Region IV*Hater  Management Division*
                             1578

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                             Accession Ho.   19047000003

(DQ)  Date of Questionaire:  12-02-82

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                             Accession So.   19047000004

(DQ)  Date of Questionalre:  12-02-82
(NAM)  Name of Data Base of Model:  Modified HIWAY Program
(ACR)  Acronym of Data Base or Model; MQDHI«AY
(MED)  Media/Subject of Data Base or Model: Air
(ABS)  Abstract/Overview of Data Base or Model: This model  is basically
    the same as EPA's HIMAY model.
(CfC)  CONTACTS:  Lewis H. Nagler     EPA/NOAA-Air Management Branch
    Loc: EPA Region 4, Atlanta, GA    Ph: (404) 881-4901
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of for® completion: 01-26-83
(CAP)  Functional capabilities of model: EPA's HIWAY model  yas modified
    to alloy for calculations to be made for more than one  roadway at a
    time.  This allows for computation of pollutant concentra- tions
    due to intersecting roads (e.g./ intersections).
(ASH)  Basic assumptions of model:  Same as  HIMAY
(INP)  Input to model: Differs from HIWAY to the extent that
    coordinates for more than one roadway (and associated parameters)
    can be used.
(OUT)  Output of model: Outputs concentrations in parts per million
    (ppffl), milligrams per cubic meter (mg/ra(3)), and microgracs per
    cubic meter (ug/m(3)) as well as giving grid concentrations and
    road segment end points in a format suitable for a graphic plotter.
(CSR)  Computational System Requirements: Basically the same as HIMAY.
(APP)  Applications of model: Same  as HIWAY, but allows for additional
    roadways and traffic. TECHNICAL CONTACT: Lewis H. Nagler EPA/NOAA -
    Air Management Branch EPA - Region IV,  Atlanta, GA 404/881-4901
(HDW)  Computational system requirements -  Hardware: Mainframe Univac
    1110 jDisc storage 12X Core
(LNG)  Computational system requirements -  Language(s) used: Fortran  V
(ATP)  Air Models - type of model:  Gaussian dispersion
(QAQ)  Model reviewed and approved by OAQPS? NO
(PMP)  production method of primary pollutant in Model: Primary
    (emitted directly into atmosphere)
(HPR)  Process used to remove pollutant from atomosphere: Negligible
    removal
(THE)  Sample averaging time used:  less than 24 hours
(SRC)  Source of pollutant:  limited time
(AR)  Area where sample was collected: level or gently rolling terrain.

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                             Accession No.   19048000906

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Kame of Data Base of Model:  Non-point Runoff Model  for  a  Rural
    Setting
(ACR)  Acronym of Data Base or Model:  EPA RRB
(MED)  Kedia/Subject of Data Base or Model:  Water ;Non-point  loading
CABS)  Abstract/overview of Data Base or Model:  EPARRB  Is  addressed as
    Planning Model "B" of a three model group.   This model calculates
    erosion and delivered sediment to a uaterbody using  the "Universal
    Soil Loss Equation."  the delivered sediment is converted  to
    pollutant loads based on loading factors and is combined  with
    litter and animal/foul droppings loads to produce
    daily/monthly/annual and period loads to uaterbodies.   An  unlimited
    number of land units of unlimited size can be used  and grouped in
    several uays.  Most of the physical characteristics  of land  units
    and loading rates are randomly selected from user determined
    distributions.  Single storm sedimentation reports  can be  produced
    by precalculating the storm Erosion-Index value (El),   this  process
    is basically a large area rural planning model.
(CTC)  CONTACTS: Howard A. True or any member of    Ambient Monitoring
    Secti Surveillance & Analysis
    Div.
    Loc: EPA Region 4, College Station Road, Athens, GA  30613  Ph:
    (404)
    546-3113
(STA)  Data Base status: Discontinued
(DF)  Date of form completion: 12-07-82
(CAP)  Functional capabilities of model: EPARRB can be  used for  any
    area that can be described by slope percent, slope  length, soil
    type, cropping management, erosion control practices and  surface
    uses such as cropland, forest, pasture, urban and other.   The  user
    specifies all conditions for assessment and the process will
    calculate erosion, litter and cattle/ foul pollution potential
    using positive averages or randomly selected values  from  designated
    ranges.  The user also specifies all delivery ratios and  pollutant
    loading rates. Desired sub-area groupings can be made  as  the user
    desires. Projections can be made by making land use  changes  and
    running the process under these new conditions.
(ASM)  Basic assumptions of model: The model assumes that  all  areas
    have slope percentages that allow reasonable erosion to take place.
    Extremely flat and highly pervious areas could not  be  assessed with
    this process.  It is assumed that the required topographic
    information can be obtained from soil surveys or other sources,  the
    more accurate this basic data is then the more confidence that can
    be placed in process results.
(IMP)  Input to model: Input consists of seven area cards  to  provide
    report headings and general setup information then a state group
    composed of a state card followed by land unit card  groups each
    containing nine data cards.  There Is no limit on number  of  state
    groups or number of land units in a state group.
(OUT)  Output of model: Output consists of a single report giving  land
    unit identification and calculated erosion, sediment,  litter,
    nutrients (N,P,K,BOD,TOC) and acid-quantities for the  period


                             1581

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                             Accession No.   19048000906    Ccont)

    specified or as daily loadings.

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                             Accession No.   19048000907

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model:  Non-point Runoff Model  for a Single
    Storm Event
(ACR)  Acronym of Data Base or Model:  EPAURA
 a storm frequency
    analysis can be used to convert this load to a daily/  weekly,
    monthly/ annual or periodic load.  Projections can be  made by
    changing the land usage/ population or  other characteristics and
    running the process with these changes  incorporated.
(ASM)  Basic assumptions of model: The model assumes an antecedent
    period adequate to allow buildup of pollutants.  The model assumes
    that fifteen minutes of rainfall at the specified intensity Kill
    runoff as a slug and carry virtually all of the accumulated
    pollutants on the Impervious surfaces with it.
(INP)  Input to model: The input consists of forty parameter factor
    cards to provide loading rates/ two cards describing the receiving
    water body, one card for each sub-area  containing control
    information, a total area card and one  or more storm cards
    containing required storn parameters.
(OUT)  Output of model: Output consists of  a report for each sub-area
    for up to forty parameters, a total area report and a  receiving
    waterbody mixing report showing arrival time of each slug and new
    waterbody concentrations for all parameters.
(APP)  Applications of model: EPAURA can be used for assessing
    non-point runoff from any storm event and is usable in any type of
    study. TECHNICAL CONTACT: Howard A. True/ Computer Systems Analyst
    Ambient Monitoring Section Surveillance and Analysis Division EPA
    Region IV College Station Road Athens,  Georgia  30613  FTS  250-3139
    COM  404/546-3139


                             1583

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                             Accession No.   19048000907    Streara/river
    >Non-point Urban
(CON)  Processes and constituents included in model; DIssol¥ed oxygen
    jEutrophication ^Erosion and sediment itoxi Hydrology ^mixing  only
(CPL)  Complexity level of model: Simplified
(REF)  References - User manuals/ documentation/ etc.:
    Truejr Howard A,/  "Non-Point Assessment Processes"/
    April 1976, Revised April 1977.

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                             Accession No.   19048000903

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Reporting and Projection  Planning
    Model-Point and Son-Point
(ACR)  Acronym of Data Base  or Model:  EPATLC
(MED)  Media/Subject of Data Base or Model:  Water /Point and Non-point
    load manipulations
(ABS)  Abstract/Overview of  Data Base  or Model:  EPATLC  is addressed  as
    Planning Model "C* of a  three model group*   This model will  combine
    point and non-point loads for reporting  purposes and uill also
    perform projections by changing treatment levels for point sources
    and land use percentages for non-point  sources.   The input to  this
    process which comes from NP0ES permits for  up to three types of
    point sources (i.e. Municipal/ Industrial and any other) and output
    from EPAURA "A" and EPARRB "B'r process  runs provide  non-point
    information for up to five land uses.
(CTC)  CONTACTS: Howard A. True or any member of    Ambient  Monitoring
    Sec, Loc: EPA Region 4 College Station  Road, Athens, GA  30613    Ph;
    FTS: 250-3113
(STA)  Data Base status: Discontinued
(DF)  Date of form completion: 12-07-82
(CAP)  Functional capabilities of model: EPATLC was  designed to  provide
    a composite report of pollutant loads from  both  point and non-point
    sources for current conditions.  The process vas expanded to allow
    changes in treatment rates for point sources and changes in  land
    use for non-point sources so that  the modification  of current
    conditions provides for  a projected report  being made for sonse
    future year.  Each parameter of interest produces a  separate
    report.  Three sets of loads are calculated if data  ranges are
    stated, these loads are  lowest, highest  and roost probable.  The
    most probable load is developed by randomly sampling the values
    between the input extremes. This report shows the relationship
    between point and non- point loads and  could indicate the
    feasiblity of Advanced Waste Treatment effectivenss.
(ASM)  Basic assumptions of  model: This model is a technical assistance
    process for simplified reporting  and projecting  waste and potential
    non-point pollutant loads for an  area and its component  sub-areas.
    The model assumes that required information is available and merely
    requires manipulation according to changing criteria.
(IMP)  Input to model: The model input requires four cards of area  data
    for a particular parameter and an  unlimited number  of four card
    land unit groups for this parameter.  Multiple parameter groups  can
    be handled in a single machine run*
(OUT)  Output of model: Output consists of  a single  point and non-point
    composite report for each sub-area and  each parameter. A composite
    point and non-point summary report is produced for  each  parameter.

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                             Accession No.   19048000908    (cont)

    greater than 120K core IBM,  ONIVAC, CDC  e Printer any 120 Character
    model
(LNG)  Computational system requirements - Language(s) used:  FORTRAN
(OSK)  Computational system requirements: Operator Knowledge/Skills: Exp
    erience with statistics and  random number generators. ;Pr
    Engineering BS
(WTP)  Hater Models - Type of model:  Water run-off
(EMV)  Environment(s) to which model  applies: Lake ;Stream/river
    ;Non-point Urban and Non-urban
(CQN)  Processes and constituents included  in model:  Eutrophicatioa
    ?Srosion and sediment ;Quality processes
(CPL)  Complexity level of model: Simplified
(REF)  References - User manuals/ documentation,  etc.:
    True/ Howard A./ "Non-Point  Assessment Processes"/
    April 1976, Revised April 1977.
(CNM)  Contact name(s): of,H.A.
(COR)  Contact organization: Ambient  Monitoring Sec/  SS.A Div.
(ROR)  Responsible Organization: Region IV.Environmental Services
    Division.
                             1586

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                             Accession No.   19051700001

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Name of Data Base of Model: Lake Michigan Eutrophication Model
(ACR)  Acronym of Data Base or Model:  None
(MED)  Media/Subject of Data Base or Model:  Water
(ABS)  Abstract/Overview of Data Base or Model: The proposed
    mathematical model of the eutrophication process within Lake
    Michigan will simulate phytoplankton-nutrient dynamics and the
    effect of waste load variation on them,   The purpose of the model
    is to provide a means of evaluating lakewide responses to planned
    remedial programs especially phosphorus  input controls.  Two
    phytoplankton systems - diatoms and non-diatotts - Kill be included
    in the model.  Associated properties to  be modeled include ammonia
    nitrogen, nitrite-nitrate nitrogen, available phosphorus,
    unavailable phosphorus, available silica, unavailable silica,
    herbivorous zooplankton, carnivorous zooplankton, and light
    penetration.
(CTC)  CONTACTS: Or, John P. Connolly     Manhattan College
    Loc: Bronx, New York 10471   Ph: (212)  548-1400 Ext. 404
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 01-17-83
(CAP)  Functional capabilities of model; The raodel will estimate the
    changes in algal biomass and nutrient concentration resulting from
    changes in waste loading.  The results will reflect average lake
    conditions on a seasonal time scale.  The effects of short time
    scale phenomena such as storm events and variability between
    near-shore and main-lake conditions will not be addressed.
(ASH)  Basic assumptions of model: The model assurces that phytoplankton
    biomass may be represented by chlorophyll and that growth Is
    controlled by the external concentrations of ammonia and
    nitrite-nitrate nitrogen, available phosphorus and available
    silica.  Nutrient limitation is represented by a Michaelis
    expression with multiple limitation being the product of single
    nutrient limitation.
(IMP)  Input to model: The anticipated input requirements include:
    segment volumes and depths, flow and dispersion between segments,
    water temperature, solar radiation, photoperiod, loadings of all
    nutrients, settling velocities of phytoplankton and particulate
    nutrients, phytoplankton growth rate, temperature dependence and
    saturating light intensity, half saturation constants for
    phosphorus, nitrogen and silica limitation, carbon to chlorophyll
    ratio, phosphorus to chlorophyll ratio,  silica to chlorophyll
    ratio, phytoplankton endogenous respiration rate and temperature
    dependence, and zooplankton filtering rate, respiration rate and
    assimilation efficiency.
(OUT)  Output of model: The model will produce values for all variables
    in all segments at user specified tine intervals.  It will also
    produce pen plots of selected variables and associated data.
(APP)  Applications of model: Model presently under development.
(HDy)  Computational system requirements - Hardware: Mainframe CDC 6600
    ;0isc storage 150 K (estimate) ;Magnetic
(LNG)  Computational system requirements - Language(s) used: Fortran
    Plotter


                             1587

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                             Accession No.   19051700001    (cont)


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                             Accession No.   19058000903

(OQ)  Date of Questionaire: 12-02-82
(NAM)  Kame of Data Base of Model:  TEMSTAT
(ACR)  Acronym of Data Base or Model:  TSMSTAT
(MED)  wedia/Subject of Data Base or Model:  Hater
(IBS)  Abstract/Overview of Data Base or Modal;  The computer program
    TEMSTAT Is a river temperature  simulation model developed for
    assessing numerous thermal loading alternatives for the Mahoning
    River (eastern border of Ohio flows through Warren and Voungstown).
    For the program the Edinger and Geyer temperature decay equations
    were used with statistically varying inputs to compute the
    statistical distribution of temperatures at designated points along
    the river.
fCTC)  CONTACTS: Donald Schregardus  EPA, Region 5 Surveillance &
    Analysis
    Division/ Eastern District Office
    Loc: 25089 Center Ridge Hoad, Westlake,  OH 44145 Ph:  (216) 835-5200
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completions 01-17-83
(CAP)  Functional capabilities of model: The model uses a one
    dimensional steady state temperature calculation procedure
    developed by Edinger and Geyer.  Thermal loadings are input as a
    mean and standard deviation-  TEMST&1! uses a normal distribution
    random number generator to deterrain© specific inputs  tor each
    calculation.  Numerous repetitive stream calculations are made to
    determine the distribution of temperature in the river.
(ASM)  Basic assumptions of nodal:  The model assumes heated water
    discharged to the river decays  nupenentlally to an equillibrium
    temperature. Complete mixing of the affluent into the receiving
    stream is assumed as well as a non stratified uniform temperature
    distribution at each point in the river*  input loadings,
    equilibrium temperatures/ heat exchange, coefficients and stream
    flows are assumed to be Independent variables*.
(INP)  Input to models TEiMSTAT requires the mean and standard deviation
    of thermal effluent loadings, flow duration data, stream surface
    area and the mean and standard deviation of the equillibriura
    temperature (£), and heat exchange coefficient 
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                             Accession No.   19058000903    (cont)


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                             Accession No.   19058000904


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                             Accession No.   19058000904    (cont)

(HOW)  Computational system requirements - Hardware: Mainframe IBM 360
    or Univac 1110 ;Disc storage Core - less t Printer medium or high
    speed /Card reader/punch
(LNG)  Computational system requirements - Language(s) usad; Fortran IV
(OSK)  Computational system requirements; Operator Knowledge/Skills: Eng
    ineering
CWTP)  Water Models - Type of model:  Mater quality
(ENV)  Environment(s) to which model  applies: Stream/river
(CON)  Processes and constituents Included in model: Dissolved oxygen
    ;Eutrophication ;foxic chemicals  cyanide ph Hydrology ?Quality
    processes
(CPL)  Complexity level of model: steady state mass balance ;one
    dimensional
(REF)  References - user manuals, documentation/ etc.:
    Raytheon Co* Oceanographic and Environmental
    Services/ Documentation Report Beaver River Basin Model
    Project, March 1973, Contract No. 68-01-0746
    Raytheon Co, Qceanographic and Environmental Services,
    Expanded Development of BEBAM-A Mathematical Model of
    Water Quality for the Beaver River Basin, May 1974
    Contract Mo. 68-01-1836
    Amendola, G. JU, Schregardus, D.  R., Harris, W. fl., Moloney,
    M. R., Mahoning River Haste Load  Allocation Study,
    Sept 1977
(CNM)  Contact name(s): Schregardus,D.
(COR)  Contact organization: US EPA Region 5 Eastern District office
(ROR)  Fesponsible Organization: Region V.Environmental Services
    Division*
                             1592

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                             Accession No.   19097000101

(DQ)  Date of Questionaire: 12-02-82
(NAM)  Kame of Data Base of Model:  Air Pollution Research Advisory
    Committee Model-2
(ACR)  Acronym of ,Data Base or Model: APRAC-2
(MED)  Media/Subject of Data Base or Model:  mobile source emissions
(ABS)  Abstract/Over view of Data Base or Model:  The APRAC-2 model is a
    revised version of the APRAC-1A diffusion model.   It maintains
    basically the same approach to the simulation of  atmospheric
    diffusion/ but it incorporates recent advances in the estimation of
    vehicular emissions and in the dissemination of traffic
    information. One of the most important characteristics of the
    APRAC-2 model is its ability to make full use of  the historic
    records and the projections available from the Federal Highway
    Administration's (FHWA) battery of computer programs.  Mixing depth
    information from alternative sources can be used, the model now can
    provide as outputs the amount of pollutant emitted in grid squares
    throughout the area.  The APRAC-2 model  uses SPA's emissions
    calculation methodology from Supplement No. 5 to  AP-42.

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                             Accession No.   19097000101     (cent)

    time of day and from one part of a city to another.  If  land  use
    categories are not specified/ the model assumes  that all  central
    business district area types  correspond to the same  locale type.
    Core city areas are assumed to be commercial.   Suburban streets are
    assumed to be commercial if their average weekday  traffic exceeds
    10/000; otherwise the locale  is taken to be residential.  The
    locale for areas that do not  fit specified categories is  taken to
    be rural/ or unclassified.  A  Gaussian-plume diffusion formulation
    is used for diffusion calculations.  The model uses  an  atmospheric
    stability algorithm derived by Ludwig and Dabbert  (1976)  from  the
    basic method proposed by Pasquill (1961).  Daytime stability
    categories are based on wind  speed and the strength  of  the incoming
    solar radiation.
(INP)  Input to model: If FHHA  traffic data are to be  used/ they must
    first be converted to a format compatible with the rest of the
    program. For IBM machines this is done with the program COMSIS/
    which will read and unpack  the data and then create  a file for
    subsequent use by the APRAC-2 program.  The input required to
    operate the EMOD module are as follows: the first  17 cards are all
    required to identify which  options are to be used  during  the run
    and the other parameters that define the nature of the  run.  The
    next 72 cards define the diurnal traffic cycles appropriate  to
    different kinds of roadway/ areas of the city/ and days of the
    week. At least 22 cards are required to operate the  DIFMOD module.
    The first six cards are required to define the region/  the types  of
    calculations to be made/ and the coordinates of the  receptors  in
    kilometers with the origin  at the same place as the  emissions  grid*
    Cards D-6 through D-9 define the length of the run/  street canyon
    features/ intersection link features and coordinates/ holidays/  and
    pollutants to be treated. Cards D-1Q through D-15b define upwind
    background concentrations;  mixing depth input type;  station/ date/
    maximum and minimum temperatures, and daylight savings  time;
    radiosonde data/ weather data/ wind data for up to 100  sites;
    intersection traffic parameters/ and intersection  signalization
    parameters*
(OUT)  Output of model: Output  provided by the model include computer
    printputs of ambient air concentrators for hydrocarbons/  carbon
    monoxide/ or oxides of nitrogen as amounts of pollutant emitted  in
    grid squares throughout the area/ and a listing of the input data*
(APP)  Applications of model: The APRAC-2 model can be used to assess
    ambient concentrations of hydrocarbons/ carbon monoxide/  or  oxides
    or nitrogen emitted by traffic in five types of locales*  Local
    source models are available for treating pollutant behavior  in a
    street canyon or the vehicle and pollutant effects at a signalized
    intersection. TECHNICAL CONTACT: Linda Larson 0. S.  Environmental
    Protection Agency Region IX Air & Hazardous Materials 215 Fremont
    Street San Francisco/ CA 94105 FTS 556-2326  COM 415/556-2004
(HDW)  Computational system requirements - Hardware: Mainframe  CDC 6400
    ;Disc storage 55/000 words  or less
(LNG)  Computational system requirements - Language(s) used:  Fortran
(OSK)  Computational system requirements: Operator Knowledge/Skills:  Pro
    granting ;environmental engineer familiar with computer s


                             1594

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                             Accession No.   19097000101     (cont)

(R£F)  References - User manuals/  documentation,  etc.:
    Heffter/  J.L., and Taylor/  A.D., A Regional-
    Continental Scale Transport/  Diffusion/  and Deposition Model/
    Part I:   Trajectory Model/  National Oceanic and Atmospheric
    Administration Technical Memoranda/ ERL  ARL-50/ pp.  1-16/
    1975.
    Johnson/  W.B./ W.F. Dabberdt/  Ludwig,  F.L./ and Allen/ R.J.,
    Field Study for Initial Evaluation of  an Urban Diffusion
    Model for Carbon Monoxide/  Comprehensive Report CRC  and
    Environmental Protection Agency/ Contract CAPA-3-68  (1-69),
    1971.
    Kircher,  D.S. and Williams/ M.E., Supplement  No. 5  for
    Compilation of Air Pollutant Emission  Factors (AP-42),
    Chapter  3 (second edition}/ U.S. Environmental Protection
    Agency/  Office of Air Quality Planning and Standards/ 
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                             Accession No,  19097000101    (cont)

    Administration, Urban Transportation Planning/ General
    Information, 1972.
CCMM)  Contact name(s): Larson,L.
(COR)  Contact organization: U.S. EPA, Region 9, Air and Hazardous
    Materials Division

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                             Accession No.   19102000501

(DQ)  Date of Questionaire:  12-02-32
CHAM)  Name of Data Base of  Model:  Chesapeake Bay Circulation Model
CACR)  Acronym of Data Base  or Model;  CBCH

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                             Accession *So»  19102000501    (cent)

    novel numerical modeling techniques. embodied in CBCI4 have allowed
    many time-consuming computations to 'be simplified at virtually no
    loss of accuracy* Those processes which CBCM is not presently able
    to simulate aresjf      - systems «ith a strong temperature-driven
    density circulation^      - major storm an<2 wind events^      - any
    mass constiuents tihich interact and ar« not governed by first-order
    decayf CBCM is an accurate, yet flexible and affordable/ model of
    the circulation of water in Chesapeake flay..  The latest advances in
    numerical modeling have been used^ combining the produce a split-
    time/ space-staggered^ lumped~mass, finite-element numerical
    solution scheme.  lea modeling techniques^ such as the simulation
    of -deep sub merged trenches with quasi 2-B elements/ have been
    developed to meet the demands of simulating the complex Bay system
    as simply as possible sithout sacrificing accuracy*  The model
    structure has been designed for easy  operation.  The CBCM code is
    also very understandable and easy to  modify^ a feature important
    when decision-making must be aided by subsequent modeling tasks to
    simulate other parameters whose notion is governed by hydrodynamie
    circulation*
(ASM)  Basic assumptions of model: To develop a 3-D aodei of Chesapeake
    Bay which aas both affordable in terns of computer costs and
    accurate in terias of hydrodynamics and mass transport calculations/
    a unique procedure was adopted.  First/ the model «as designed to
    handle river-bay and trench-bay connections using a linked, 1-D to
    2-D/ layered iaodel which produced accurate quasi 2-D and 3-D
    representations* This provided an efficient means to model the
    complex geometric features of the Bay*.  Second/ numerical solution
    techniques were developed to economically approximate the boverning
    shallow water equations and conservation of mass equation*  the
    resulting solution techniques are actually the combination of four
    or five different models or modeling  approaches/ selected to
    develop a scheme witii unusually good  stability/ accuracy and
    economy features-f The Chesapeakke Bay Circulation Model (CBCM) is
    comprised of two models^ a hydrodynamic saodel and mass transport
    model/ weakly linked through an eguation-o.f-state«  The
    hydrodynanslc solution scheme is a linked quasi 2-D to 3-D/
    fixed-layered/ lumped-Bass^ space- staggered/ split-time finite
    element technique with tide elevations calculated at modal points/
    flow and velocities calculated at the mid-points of triangular-
    cells.  The isass transport schene is  a linked quasi 2-D to 3-D/
    fixed-layered^ lumped-mass/ space-staggered implicit finite-element
    technique with concentrations calculated at nodal points.  This
    corabination of solution schemes is very stable and accurate/ as
    well as very affordable in terms of computer costs due to the
    removal of the matrix inversions normally associated aith this type
    of finite-element esturay model*  Furthermore/ the lumped- mass
    approach eases the Courant condition  on the bydrodynamic time step/
    and allows a theoretically unlimited  computation interval for mass
    transport simulations^ although a practical limit exists for the
    resolution of results*
(IMP)  Input t© models Bathymetry, Salinity, Tidal Elevations, Wind
    Velocity Magnitude and Direction/ Fresh Water Inflow/ Atmospheric


                             1598

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                             Accession Ho«   19102000501    (cont)

    Pressure, Current Velocities/ Turbulence/ Dispersion/ Friction
    Coefficients/ Heat Source Temperatures/ Water Temperature
{OUT)  Output of model: Line Printer/ Input Date Echo/ Predicted Tidal
    Elevations/ Predicted Current Velocities/ Predicted Salinities/
    Predicted Temperatures/ Predicted Mass  Constituent Concetrations/
    Averages of Above Over T»o Tidal Cycles/ Predicted vs Observed
    Plots of Above Information/ Disk Storage/ End-of-run Values of
    Above Parameters
{APP)  Applications of model: Camp Dresser  & McKee has developed/
    tested and calibrated CBCM for the Upper Chesapeake Bay and the
    Patuxent/ Potaraac/ Rappahannock/ York/  and Jan.es River Estuaries.
    Model currently has no interface to existing IB ode I/ but is
    sturctured for easy interface with present or proposal aater
    quality models,
(HDM)  Computational system requirements -  Hardware: Maniframe Prime
    750(adaptable to others); Disc Storage  Variable; Line Printer
(LNG)  Computational system requirements -  Language(s) used: FQRfRAM;
    Estuarine Circulation/ Hydrodynamics
(HTP)  Mater Models - Type of model: Three-Diraensional Hydro dynamic
    Estuarine Circulation
(ENV)  EnvironmentCs) to which model applies: Estuary; Lake with
    certain restrictions; stream/ river with certain restrictions
(CON)  Processes and constituents included  in model: Salinity;
    Temperature; Hydraulics

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                             Accession Wo.  19999999901


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                             Accession So.   19999999901    (cont)

    meander due to fluctuations in wind direction.
(INP)  Input to model:  A. Input to the TEM-8 is as  follows:  (1)  Control
    parameter cards specify the input and output options grid spacing
    and orientation* etc. (2) Scenario parameter (meteorological
    conditions) cards.  (3) area source inventory cards (4)  point source
    inventory cards B.  Input options: (1) Point source inventory
    parameters may be in metric or English units. (2) Point source
    inventory may be read from cards or disk file.
{CUT)  Output of model: TEM-8 output options are: (1) list  of
    coordinates and concentrations at each grid receptor (2) an array
    map of grid coordinates and concentrations (3)  for each receptor a
    culpability list identifying the highest five major concentrations
    contributors and respective contributions (4) a list of the point
    of maximum concentration for each scenario <5)  card punch output
    for input to contour plotting programs

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                             Accession No.  19999999901    (cont)
CROR)  Responsible Organization: Texas Air Control Board.
                             1602

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                             Accession Mo.   19999999902

      Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Model:  Texas Climatological  Model  Version  2
(ACR)  Acronym of Data Base  or  Model:  TCM2
(MED)  Media/Subject of Data Base or  Model:  Air
(ABS)  Abstract/Overview of  Data Base or Model:  The Texas
    Climatological Modal Version 2  (TCM-2) uses  the steady-state
    Gaussian plume hypothesis/  is a relatively fast FORTRAN  computer
    program to predict ground level/  long-term concentrations  of
    atmospheric pollutants.  The Briggs plume rise/  the
    Pasquill-Gifford-Turner  dispersion equations/  and sector averaging
    are used in this model.  Contributions from area sources  are
    determined by a modification of the method developed by
    Gifford-Hanna.  An emissions inventory and a set of  meteorological
    conditions are input to  the model by the user.   The  TCM  was
    developed by the Texas Air  Control Board/  Austin/ Texas.
(CTC)  CONTACTS: Cyril Durrenbergent     Texas Air Control  Board/
    Technical Services Division Sections Loc:  6330  Highway East,
    Austin/ Texas 78723 Phi  (512) 451-5711
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion:  01-20-83
(CAP)  Functional capabilities  of model: Concentrations  for  one or two
    pollutants may be determined for long averaging times.  Any number
    of area and point sources may be analyzed.  Concentrations are
    calculated for up to 2500 locations in a user-defined  rectilinear
    array of receptors.  Up  to  5 sets of meteorological  conditions in
    the form of a meteorlogical joint frequency function and average
    ambient temperature may  be  input to the  model.   Important  user
    options are exponential  pollutant decay/ choice of  rising  or  final
    plume rise/ choice of urban or rural dispersion/ and calibration
    with observed concentrations. A variety  of other input and output
    options are available to enhance the utility of the  model.
(ASM)  Basic assumptions of  model:  A. The emission  rate  is constant for
    each set of meteorological  conditions. B.  Mind  Speed - The
    pollutants are transported  dounwind at an appropriate  average wind
    speed.  Wind speed is adjusted to physical stack height. C. Wind
    Shear - There Is no directional wind shear in the vertical. 0.
    Pluroe Behavior - The plume  is infinite with no  plume history*  The
    plume is reflected at the earth's surface with  no pollutant losses
    due to reaction or deposition at the surface. E. Chemistry/Reaction
    Mechanisms - The pollutants are non-reactive gases  or  aerosols and
    remain suspended in the  air following the turbulent  movement  of the
    atmosphere.  There is an option to use exponential  decay of
    pollutant concentration  based upon a user input half life. F.
    Horizontal and Vertical  Dispersion - The concentration in  the
    vertical direction is described by a Gaussian distribution about
    the plume centerline. Dispersion coefficients are  from
    Pasquill-Gifford-Turner  with no additional adjustments being  made
    for variations in surface roughness. Horizontal dispersion is
    described by sector averaging instead of by a Gaussian
    distribution.  A meteorological joint frequency function is used  to
    describe dispersion in the  horizontal.
(INP)  Input to model: A. Input to the TCM-2 is as follows:


                             1603

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                             Accession No.   19999999902    (cont)

    1. Control parameter cards specify the  input and output
    options, grid spacing and orientation,  etc.
    2. Calibration factor cards.
    3. Meteorological joint frequency function value cards*
    4, Area source inventory cards.
    5. Point source inventory cards.
    6. Monitoring data cards.
    8. Input options (1) Point source inventory  parameters may be  in
    metric or English units.  (2)  Point source inventory may be read
    from cards or disk file (3) Meteorological joint frequency function
    may be read from cards or disk file.
(DOT)  Output of aodel: TCM-2 output  options are:  (1) list of
    coordinates and concentration  at  each grid receptor (2) an array
    map of grid coordinates and concentration (3)  for each receptor a
    culpability list identifying the  highest five major concentration
    contributors and respective contributions (4) a list of the point
    of maximum concentration for each scenario (5) card punch output
    for input to contour plotting  programs
(APP)  Applications of models Used by state air  pollution control
    agencies, meteorological consultants and industry for:
    1. Stack parameter design studies.
    2. Evaluation of the impact of new sources or source
    modifications for permit application review.
    3. Fuel conversion studies.
    4. Monitoring network design.
    5. Control technology evaluation.
    6. Control strategy evaluation for SIP.
    7. Prevention of significant deterioration.
(HDW)  Computational system requirements -  Hardware: Mainframe
    Burroughs 6810/11 jOisc storage 17K words jPrinter Card reader/punch
(LNG)  Computational system requirements -  Language(s) used: Fortran
(OSK)  Computational system requirements: Operator Knowledge/Skills: Eng
    ineering ;Meterology, Air Pollution
(ATP)  Air Models - Type of model: Gaussian dispersion
(DAQ)  ^odel reviewed and approved by QAQPS? YES
(PMP)  production method of primary pollutant in model: Primary
    (emitted directly into atmosphere)
(MPR)  Process used to remove pollutant from atomosphere: Combination
(TME)  Sample averaging time used: more than 24  hours
(SRC)  Source of pollutant: unlimited number of  point and area sources;
    5 sets of  meteo
(AR)  Area where sample was collected: level or  gently rolling terrain.
(RNG)  Distance traveled by pollutant from  source: less than 60 kn
(REF)  References - User manuals,  documentation, etc.:
    Texas Air Control Board, "Users Guide to the Texas
    Climatological Model", Austin, Texas, August 1980. "Modifications
    to the Texas Climatological Model11, C.  Durrenberger, K. Zimmerraaim,
    B, Broberg p53 Extended Abstracts, Fifth Symposium on Turbulence,
    Diffusion, and Air Pollution,  Atlanta,  Ga.,  March, 1981.  "A
    Comparison Between Results from the TCM-2 and the COM" C.
    Durrenberger, B, Sroberg, K.  Zimmermann p279 Proceedings:
    Speciality Conference on: Dispersion Modeling from Complex Sources,


                             1604

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                             Accession Ho«   19999999902     (cent)

    St. Louis,  April, 1981.
(CNM)  Contact  narae(s):  Ourrenberger^C,
(COR)  Contact  organization:  Texas Air Control  Board,  Technical
    Services Division
CROR)  Responsible Organization:  Texas Air  Control  Board.
                             1605

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                             Accession No.   19999999903

(DQ)  Date of Questionaire: 12-02-82
(NAM)  $ame of Data Base of Model:  Storage/ Treatment/  Overflow/  Runoff
    Model
(ACR)  Acronym of Data Base or Model: STORM
(MED)  Media/Subject of Data Base or Model: Water
CABS)  Abstract/Overview of Data Base or Model: The Storage, Treatment/
    Overflow/ Runoff Model (STORM)  is a continuous simulation model
    that provides an analysis of the quantity and quality of runoff
    frorc single (urban and/or nonurban) watersheds.  STORM computes
    loads and concentrations of six basic water quality parameters and
    land surface erosion. The purpose of the program is to aid in the
    sizing of storage and treatment facilities so that the quantity and
    quality of storm water runoff and land surface erosion may be
    controlled, The original version of the model was completed in
    January 1973 by Water Resources Engineers/ Inc. of Walnut Creek/
    California/ for the Hydrologic  Engineering Center (HEC) and the
    Environmental Protection Agency.  Major additions since then
    include the ability to compute  (or specify) the quantity and
    quality of dry weather flow.  The program and its usage are
    described in the current HEC Storm Users Manual dated August 1977.
(CTC)  CONTACTS: Arlen Feldman  U.S. Army Corps of Engineers/
    Hydrologic/ En Center
    Loc: 609 Second St./ Davis/ CA  95616   Ph: (916) 440-2329
CSTA)  Data Base status: Opertional/Ongoing
(DF)  Date of form completion: 12-13-82
(CAP)  Functional capabilities of model: STORM provides a means for
    analysis of the quantity and quality of runoff from single (urban
    and/or nonurban) watersheds.  The purpose of this analysis is to
    aid in the sizing of storage and treatment facilities so that the
    quantity and quality of storm water runoff and land surface erosion
    may be controlled.  The model considers the interaction of seven
    storm water elements (rainf all/snowmelt/ runoff/ dry weather flow/
    pollutant accuffulaton and washoff/ land surface erosion/ treatment
    rates/ and detention reservoir storage).  STORM computes land
    surface erosion and loads and concentrations of six basic water
    quality parameters (suspended and settleable solids/ biochemical
    oxygen demand, total nitrogen/  orthophosphate/ and total coliforn
    bacteria).  The program is designed for period of record analysis
    using continuous hourly precipitation data.  It is a continuous
    simulation model that may also be used for single events.  The
    model simulates runoff from single basins only; there is no river
    or reservoir routing capability with which to connect the single
    subbasin results.  The HEC revised the input and output formats of
    the program to conform to standardized methods and made program
    modifications which include a Soil Conservation Service runoff
    curve number technique/ the use of hydrographs to define runoff/
    pollutant accumulation in terms of pounds/acre/day/ the ability to
    compute or specify quantity and quality of dry weather flow/
    specification of up to twenty land uses/ and the choice of English
    or Metric units.
(ASM)  Basic assumptions of models  The model assunes that precipitation
    cannot be considered without the system/ and a design storm can not


                             1606

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                             Accession No.   19999999^03    (cent)

    be defined by itself,? but must be defined in the light of the
    characteristics of the storm Hater facilities*   The approach used
    in the STORiM model recognizes not only  the properties of storm
    duration and intensity* but also storm  spacing  and the storage
    capacity of the storm water system.  In this approach* rainfall
    washes dust and dirt and the associated pollutants off the
    watershed.  The resulting runoff is touted to the treatment-storage
    facilities where runoff greater than the treatment rate is stored
    for treatment at a later tlnse^  If storage is exceeded* the
    untreated excess is wasted through overflow directly into the
    receiving waters*  The magnitude and frequency  of these overflows
    are important in a storm water study*  so STOR^  provides statistical
    information on washoff* as well as overflows.  The quantity*
    quality* and number of overflows are treated as functions of
    hydrologic characteristics* land tise^  treatment rater and storage
    capacity.
(IN?)  Input to model; Input to the model include!  job specifications*
    hourly precipitation record* daily temperature  record* land use
    data including runoff parameters^ pollutant accumulation and
    washoff data* and land surface erosion  data*  The hourly
    precipitation record and the daily temperature  record are available
    on magnetic tape from the National Meather Service* Asheville*
    North Carolina*
(OUT)  Output of models The two raaln types  of output are statistical
    information on the quantity and quality of uashoff and overflow*
    and pollutographs for selected individual events*  The STORM
    program produces four output reports: quantity  analysis* quality
    analysis,  pollutograph analysis* and land surface erosion analysis.
    Input variables allow control of the level of printout Hhlch aay be
    summary only* all events* and/or detailed analysis of selected
    events.  The quantity and quality reports also  include average
    annual statistics of the rainf all/snovmelt; runoff/ pollutant
    washoff; and the quantity* quality* and frequency of overflows to
    the receiving water-  The land surface  erosion  report shows average
    annual values for sediment production and delivery to the receiving
    system*
(APP)  Applications of model? This model provides a means for analysis
    of the quantity and quality of runoff from slrgle (urban and/or
    nonurban)  watersheds.  The purpose of this analysis is to aid in
    the sizing of storage and treatment facilities  so that the quantity
    and quality of storm water runoff and land surface erosion may be
    controlled.  It does not contain any river or reservoir flow
    routing. STORM has been widely used by  the Hydrologic Engineering
    Center of the U« S. Army Corps of Engineers and by the
    Enviornroental Protection Agency*  The model has been linked to
    SWIM-RECEIVE.  Medina* Duke University, has linked STORM to his
    Simplified Continuous Receiving Mater Quality Model.
(HDW)  Computational system requirements -  Hardware: Mainframe IBM 360*
    CDC 6600* or Univac 1108 >0isc storage  (o to process-) ^Magnetic
    tape storage or disk /Printer 132 position line printer
(LNG)  Computational system requirements -  LaoguagsCs) used: Fortran
(OSK)  Computational system requirements I Operator Knowledge/Skills! Pro


                             1607

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                             Accession Mo*  19999999903    (cont)

    gramming /Programming hydrologic and/or environmental
(«TP)  fcater Models - Type of models Hater run-off
(SHY)  Environment(s) to which model applies: Son-point Urban and
    general nonurban
(CON)  Processes and constituents included in models Eutrophication
    ^Erosion and sediment ^Hydrology

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                             Accession No.  19999999903    (cent)

    Engineers, Davis,, California, August 1977.
    Hydrologic Engineering Center "Pennypack Creek later Quality
    Study" Special Projects Report #79-5, US Army Corps of
    Engineers, Davis California, November 1979. Medina, Miguel A*, Jr.,
    "Simplified Continous Receiving Mater Quality^ Model", Proceedings
    of SWHM User Group Meeting, May 1978, Ottawa, Ontario, Canada
(CMM)  Contact name(s): Feldman/A.

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                             Accession Mo.   19999999904

(DQ)  Date of Questionaire; 12-02-82
(NAM)  Name of Data Base of Model: Livermore Regional Air Quality Model
(ACR)  Acronym of Data Base or Model: LIRAQ
(MED)  Media/Subject of Data Base or Model: Air
(ABS)  Abstract/Overview of Data Base or Model: The Livermore Regional
    Air Quality Model (LiRAQ) exists in two versions, LIRAQ-1 and
    LIRAQ-2.  Both versions are two-dimensional (horizontal) Sulcrian
    grid models designed to predict regional distributions of air
    pollutants. LIRAQ-1 can treat up to four noninteracting or simply
    interacting species on up to a 45 x 50  grid.  It uses the
    flux-corrected algorithm to treat transport*  LIRAQ-2 simulates
    evolution of the concentrations of 21 chemically interacting
    species on a 20 x 20 grid,  it uses an upstream differencing scheme
    to represent horizontal transport/ and the Gear package to carry
    out time integration.  The chemistry was most recently updated in
    1981.
(CTC)  CONTACTS: J.E. Penner, M.C. MacCracken and J.J. Walton Laurence
    Liver Lab
    Loc: Livermore, Calif. 94550 Phs (415)  422-1800
(STA)  Data Base status: Operational/Ongoing
(DF)  Date of form completion: 12-14-82
(CAP)  Functional capabilities of model: Both versions of the model
    provide graphical and tabular displays of selected species over the
    entire grid, and graphical displays of the temporal variability of
    selected species at up to 50 selected grid elements*  Edit
    intervals are as specified and can be varied at the user's
    convenience.  Extensive graphical capabilities are available as
    post-processors to the codex and all input quantities are echoed in
    tabular output. Temporal and spatial variations of emissions,
    mixing depth, winds, solar flux, K and spatial variations of
    terrain are treated.
(ASM)  Basic assumptions of model: Both of the LI8AQ models are 2-D
    horizontal models bounded on the top by a temporally and spatially
    varying inversion "lid."  Both models assume a logarithmic
    concentration profile in the vertical based on a balance of fluxes
    at the boundaries which can be different for each species. This
    vertical profile is assumed to interact with the power law wind
    profile in determining horizontal transport.  LIRAQ-2 does not
    compensate for the effects of the vertical distribution of
    pollutants in calculating transformation by chemical reactions.
    LIRAQ-2 uses a chemical reaction mechanism of some complexity but
    uses an approximate "lumping" scheme in treating hydrocarbon
    emissions and other reactive organic species* Although developed
    with the intention of maintaining the maximum fidelity to real
    chemical data compatible with the model, the chemical mechanism is,
    in part, a simulation mechanism. The present version of LIRAQ-1
    assumes no chemical interactions other than a deposition velocity
    and/or exponential decay.
(IMP)  Input to model: Inputs for the initial set-up and calibration of
    the model include:
    1)1 file, specifying the topographic elevation at every grid
    point in the model domain, as well as any map information (rivers


                             1610

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                             Accession No.   19999999904     (cont)

    or shore outlines/  city or  station locations)  to be  displayed  on
    the output.
    2) Files specifying the emissions in each grid element  at  hourly
    intervals.
    3) Files giving data fields on nass consistent vertical
    (through the inversion) and horizontal  fluxes, inversion base
    heights (i.e.  mixing depths)/  atmospheric transmisslvity (based on
    cloud extent)/  and  horizontal  and vertical eddy diffusivities.
    These files  are normally supplied by a  meteorological  data
    processing code/ MASCQN/ but could be provided by other processing
    routines.
    4) A file giving photodissociation rates as a  function  of  solar
    zenith angle for a  clear sky (LIRAQ-2 only).
    5) A file giving observed species concentrations at  measuring
    stations to  be  used for initializing the problem.
    6) A file defining  the particular problem to be run  (i.e.
    title/ start time/  stop time/  species and locations  for graphical
    output/ boundary conditions/ molecular  Heights and specific
    emissions factors for various  species).
(OUT)  Output of model: Outputs provided by the model include  the
    following:
    1) Voluminous printer files echoing all input  and providing
    species concentrations at the  surface and averages for  the mixed
    layer at all grid locations at every edit interval.
    2) A file containing concentrations for selected species at
    selected locations  as a function of time*
    3) A file containing information about  the numerical integration
    scheme.
    4) Voluminous graphical output as described above (available from
    post-processors).#
(APP)  Applications of  model: Both LIRAQ models have been used by  the
    San Francisco Bay Area Air  Pollution Control District  and  the
    Association  of Say  Area Governments in  the preparation  of  the
    long-term Air Quality Maintenance Plan  for the San Francisco Bay
    area.  The U.S. Environmental  Protection Agency Included an older
    version of LIRAQ-2  as part  of  their model validation exercise  using
    data gathered during the RAPS  program.  (See M6402000102)
    Processors necessary to make the EPA data base compatible  with the
    new version  of LIRAQ have been developed.  C.D. Craig of Oregon
    State University is currently  involved  in a program to  use LIRAQ-1
    to model the air quality impact of agricultural burning in the
    Willamette Valley.  TECHNICAL CONTACT: J.E. Penner, N.C. MacCracken,
    and J.J. Walton Lawrence Llvermore Laboratory  Livermore/ California
    94550 COM 415/422-1800
(HDW)  Computational system requirements -  Hardware: Mainframe CDC 7600
    or Cray-1
(LUG)  computational system requirements -  Language(s) used: Program
    presently exists only at Lawrence Berkeley and Laur  Livermore  Labs*
    Fortran IV
(OSK)  Computational system requirements: Operator Knowledge/Skills:  Pro
    gramming jResearch assistant and experienced modeler with  in
    coding/ diffusion models


                             1611

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                             Accession Ho.   19999999904    (cont)

(ATP)  Air Models - Type of model;  LIRAQ-1  (numerical dispersion)    ;
    LIRAQ-2 (numerical reactive)

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                             Accession Ho»   19999999905

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of  Models  Qne-Diinenslonal Groundwater  Mass
    Transport Model
(ACR)  Acronym of Data Base  or Models  GldMfMl
(MED)  Media/Subject of Data Base or Model;  Water
(ABS)  Abstract/Overview of  Data Base  or Models  GWMTM1 is a
    deterministic,? one-dimensional,, unsteady-state, analytical  model
    which simulates constituent concentrations in groundwater systeras.
    It is based-on the connective—dispersive mass transport equation
    modified for  first order deca?« The analytical solution is based
    on & semi- infinite medium nith the following surface boundary
    condition! C  = cexp Oot); this allows the surface concentration
    to be constant or exponentially varying (e.g., through dilution
    processes).  It is typically applied in case of vertical
    infiltration  of wastewaters*  The  soil  may be saturated or
    unsaturated (provided the moisture content is constant); the
    vertical seepage velocity must be  constant.
(CTC)  CONTACTS*  Prof. Robert M* Cleary   Princeton Assoc.
    Loc: P.O. Box 2010 Phs (609> 924-4163
    LOG: Princeton, N.J. 08540
(STA)  Data Base  status; Operational/Ongoing
(DP)  Date of form completion: 01-17-83
(CAP)  Functional capabilities of models The program is user-oriented
    requiring no  previous FORTRAN experience»  Its digital output is in
    matrix form giving concentration versus distance at given times or
    concentration versus time at given distances.  It accounts  for
    advection, dispersion and first order decay*
(ASM)  Basic assumptions of  model;  The model assumes a homogeneous soil
    and a constant seepage velocity.  The constant seepage velocity
    requirement is net under steady^ saturated conditions or steady*
    constant moisture content*, unsaturated  conditions.
(IMP)  Input to models Data  is inputted as  FORTRAN statements.   The
    model requires only four pieces of data:  the dispersion
    coefficient,  the kinetic decay constant, the seepage velocity and
    the surface constant (if the surface concentration is not constant).
(OUT)  Output of  models Concentrations are  printed out at any number of
    specified (read in as data cards)  space and time positions. It is a
    very simple model to operate.
(APP)  Applications of model: The model Has developed for the
    Nassau-Suffolk Regional  Planning Board  (Lee Koppelraan, Executive
    Director) as  part of a large 208 project.  It was applied to
    wastewater recharge basins where the depth to water was about 30
    feet. It has  been distributed widely through short courses dealing
    with groundwater pollution and has found similar applications
    throughout the country.
(HOW)  Computational system  requirements -  Hardwares Mainframe IBM
    360/91; also  minicomputer using less than 1QOK Disc storage 100K
    core storage
(LNG)  Computational system  requirements -  Language(s) used: Fortran IV
(OSK)  Computational system  requirements: Operator Knowledge/Skills: non
    ej 1/2 hour learning time
(WTP)  Water Models - Type of models Ground water


                             1613

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                             Accession So.  19999999905    (cont)

(CPL)  Complexity level of model:  one dimensional
(RSF>  References - Oser manuals/  documentation/ etc.!
    Cleary/ R.is./ Final 208 Report to the Nassau-
    Suffolk Regional Planning Board, Hauppauge/ Nea York/
    December/ 1977.
(CHM)  Contact nameCs)? Cieary/P.R«
(COR)  Contact organization; Princeton Rssoc.
(ROR)  Responsible Organizations  Princeton Associates.
                             1614

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                             Accession No.   19999999906

(DQ)  Date of Questionaire:  12-02-82
(NAM)  Name of Data Base of Model: Two-Diraensional Grounduater Mass
    Transport Model

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                             Accession No.   19999999906     (cont)

    360/91;  also mini computer  using less  than 100  Disc  storage 100K
    core storage,
(LNG)  Computational system requirements -  Language(s) used:  Fortran  I¥
(OSK)  Computational systei requirements:  Operator  Knowledge/Skills:  Non
    e; learning time 1/2 hour
(WTP)  Water Models - Type of model: Ground water
(CPL)  Complexity level of model:  multi dimensional
CREF)  References - User manuals,  documentation,  etc.:
    Clearyv  R»¥»^  Final 208 Report to the  Nassau-Suffolk
    Regional Planning Board^ Hauppauge, New York, Deceffiber  1977.

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                             Accession So.   19999999907

(DQ)  Date of Questionaire; 12-02-82
(NAM)  Name of Data Base of Model:  National Residuals Discharge
    Inventory
(ACR)  Acronym of Data Base or Model: NRDI
(MED)  Media/Subject of Data Base or Model: Mater ;Industry/economic

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                             Accession  No,   19999999907     (cont)

    discharges,  discharge and cost estimates are based on simulation  of
    specific end-of-pipe technologies for discharge reduction.
    Discharge conditions in 1973 as veil as 1977 and 1983 standards are
    estimated for specific industrial facilities or industry subgroups.
    For municipal facilities/ the 1974  EPA  Needs Survey  is used.   For
    urban runoff, required treatment is estimated based  on work done
    for the National Commission on fclater Quality; for non-irrigated
    agriculture/  information from the 1967  Conservation  Needs Inventory
    is used.
(INP)  Input to  model:  Major inputs to  the  NRDI include  the EPA Needs
    Survey/ the  Conservation Heeds Inventory/ County Business Patterns/
    City-County  Data Book, and Census data*  A detailed  Industrial
    source inventory was developed for  the  model*  Thus/ the model
    contains information on identifiable point and areal source
    residual generating activities vhich cover most uaterborne residual
    generating activities,  information included about these
    activities/  where appropriate and available/ are location of
    activity, measures  of production (physical output/ employees,  land
    area, or population)/ type of production process/ and current
    residual reduction  technologies being used.
(007)  Output of model: Outputs ace produced by county-aggregate unit/
    and source category or subcategory.  A  variety of alternative
    policies can be selected for solution in the NRDI.  These policies
    include both uniform and non-uniform abatement policies and can
    simulate controls on areal as well  as point sources*  The outputs
    from each policy alternative are: residual generation/ residual
    discharge, abatement costs, and residuals dilution index.  The
    basic policies used to date are discussed below:
    1)  No control - This policy estimates  residuals discharge
    if no control technology is used.
    2)  1973 controls - This policy estimates discharge  and
    costs based  on control technology in place in 1973.
    3)  8PT/ST - This policy estimates  effects of the 1977
    standards of the P  L 92-5003  Best  Practicable Treatment for
    industry and Secondary Treatment for municipalities*
    4)  BAT/BPWTT - This policy estimates the effects of the 1983
    standards for industry and secondary treatment for municipalities
    supplemented with tertiary facilities when requested in the EPA
    Needs Survey.
    5)  BAT/BPKTT+ - This policy is identical to (3> for
    industrial sources  but includes filtration for all municipalities
    not requesting treatment more stringent than secondary in the  EPA
    Needs Survey.
    6)  Non-irrigated agricultural control  - Costs and residual
    Implications of Implementing practices outlined in the 1967
    Conservation Heeds  Inventory are included.
    7)  Urban storm control - Costs and residual implications
    of one of five urban storm control  strategies (combined/ seperate
    storm, and unseuered) is simulated.
    8)  Ocean discharges - Effects of discharge and costs for ocean
    counties are excluded.  This function is used to simulate lower
    levels of treatment for ocean discharges based on using a specified


                             1618

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                             Accession So.   19999999907    (cont)

    set of counties,
    9)  New source performance standards -  In this policy,
    residual discharges and costs for industrial growth are based  on
    new source performance standards (approximated by BAT).
    10)  Limited technology - Simulation of stringent effluent
    limitation policies can be limited to ASA with relatively bad  water
    quality.
    11)  Cost effective strategy - This policy used data on cost
    per quantity of residuals removed to identify cost-effective
    solutions in each ASA, Combinations of  these policy components can
    be combined in a  single run if desired,
(APP)  Applications of models
    1)  The 1976 Annual Report of the Council on Environmental  Quality.
    2)  The Mater Resources Council's 1975  National Assessment.
    3)  The National  Commission on Mater Quality's Environmental
    Technical report. 4)  National Network  Model, Resources for the
    Future RSF reprint 189 (1981). TECHNICAL CONTACT: Ralph A.  Luken  0.
    S* Environmental  Protection Agency Washington, DC 20460 FTS
    382-5490  COM 202/382-5490
(HOW)  Computational  systen requirements -  Hardware: Mainframe  IBM
    360/370 ;Disc storage 200K bytes maximum to ru

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                             Accession No.   19999999907    (cent)

    MCWQ Contract, July,  1975.
    Pechan, E.H.,  and Luken, R.A., "A Hater Residuals Inventory
    for National Policy Analysis.", Proceedings of the Conference
    on Environmental Modeling and Simulation,  U.S. EPA publication
    SPA 600/9-76-016, July 1976.
    ^harton Econometric Forecasting Associates, Mharton Econometric
    Forecasting Estimates, Mark IV, Solution of March 4, 1975.
    U.S. Water Resources  Council, 1972 QBSRS Projections,
    April, 1974.
(RQ8)  Responsible Organization:  Office of  Policy and Resource
    Management.Office of  Policy Analysis.Economic Analysis Division.
                             1620

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                             Accession Ho.   19999999908

(Dq)  Date of Questionaire: 12-02-82
(HAM)  Kame of Data Base of Model: Regional Emissions Projection System
(ACR)  Acronym of Data Base or Model:  REPS
(MED)  Media/Subject of Data Base or Models  Air

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                             Accession No.   19999999908    (cent)

(LNG)  computational system requirements *  Language(s)  used:  Fortran
    PL/I
(OSK)  Computational system requirements: Operator Knowledge/Skills: Pro
    gramming ;Engineering
CATP)  Air Models - Type of model:  Numerical reactive
(OAQ)  Sodel reviewed and approved  by OAQPS? NO
(PHP)  Production method of primary pollutant in model: Primary
    (emitted directly into atmosphere)
(MPR)  Process  used to remove pollutant from atonosphere:  Physical
(SRC)  Source of pollutant; REPS is air emissions rather than air
    quality model
(REF)  References - User manuals,  documentation/ etc.:
    Booz/ Allen/ and Hamilton.  Regional Emission
    Projection  System—System Documentation.  January 1977.
    Snergy Information Administration.  1977 Annual Report to
    Congress.  Volume II/ April 1978.
    Pechan/ E.H.  An Air Emissions  Analysis of Energy Projections
    for the Annual Report to Congress* in preparation.
    Pechan/ E.H.  1985 Air Pollution Emissions.  Department  of
    Energy DOE/PE-0001/ Government  Printing Office/ December  1977.
    U. S. Environmental Protection  Agency.   ABROS Manual Series
    Volume I:  AEROS Overview.  EPA-450/2-76-001, February 1976.
    U.S. Environmental Protection  Agency.  AEROS Manual Series
    Volume II;   AEROS User's Manual.  EPA-450/2-76-029,
    December 1976.
    U.S. Environmental Protection  Agency.  AEROS Manual Series
    Volume V:  AEROS Manual of Codes.  EPA-450/2-76-QQ5, April
    1976.
    U.S. Environmental Protection Agency.  Compilation of Air
    Pollutant Emission Factors.  Second Edition/ AP-42/ Parts A
    and B/ February 1976.
(CBJM)  Contact  name(s): Weygandt/».
(COR)  Contact  organization: U.S.  Department of Energy
(ROR)  Responsible Organization: U.S. Department of Snergy.
                             1622

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                             Accession So.   19999999909

, grease, total
    coliforms, fecal coliforms, NH<3>, organic nitrogen, nitrite and
    nitrate, phosphate, orthophosphate, mercury, copper, zinc, lead,
    chromium, cadmium, and arsenic.  AGRUN  is one module of a larger
    set of compatible programs which include a runoff model (AGRUN), a
    transport model, and a receiving model, and AGRUN has an interface
    subroutine to connect it with the other two. This model uses the
    Universal Soil Loss Equation to compute the suspended solids source
    loading rates, and it assumes that there is no decay of BOD or
    conversion of nitrogen forms.
(CTC)  CONTACTS! Dr. Larry Roesner   Camp Dresser & McKee Inc.
    Loc: 7630 Little River Turnpike Annandale, VA 22003   Ph: (703)
    642-5500
(STA)  Data Base status: Operational/ongoing
(DF)  Date of form completion: 01-27-83
(CAP)  Functional capabilities of model: The Agricultural Watershed
    Runoff Model has the capability to simulate storra runoff
    hydrographs and pollutographs for up to 22 sater quality parameters
    from agricultural watersheds.  The watershed may be subdivided into
    as many as 200 subareas, and up to two  crop types from a list of
    five may be specified for each sub area.  Crop types include corn,
    beans, pasture, oats, and hay. The tributary drainage system nay be
    subdivided into as many as 200 channels, and the system must be
    dendritic in form. Cross sections may be triangular, trapezoidal,
    or rectangular in shape.  The user has  the option of representing
    infiltration by the Horton equation alone, in which case interflow
    computations are neglected, or he may specify the additional data
    which will be used to compute the contribution to interflow to
    storm runoff. Computations of water quality can be made for up to
    22 conservative constituents whose number is specified by the user.
    Constituents modeled include;  total suspended solids, non-
    settleable suspended solids, TDS, BOD,  COD, chlorides, S0<4>,
    grease, total coliforms, fecal coliforras, NH<3>, organic nitrogen,
    nitrite and nitrate, phosphate, orthophosphate, mercury, copper,
    zinc, lead, chromium, cadmium, and arsenic. Only total suspended
    solids, BOD, and fecal coliforms have been calibrated for this
    model.  AGRUN has been used to simulate the surface runoff
    hydrograph for both urban and agricultural watersheds, and because
    it assumes no decay of BOD or conversion of nitrogen forms, the
    model should be considered for relatively short-term storm episodes
    only.
(ASM)  Basic assumptions of model: The AGRUN model uses the Universal


                             1623

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                             Accession No.  19399999909    (cent)

    Soil Loss Equation to cofflpute the suspended solids source loading
    rates, and Norton's equation t© compute infiltration rates. An
    iterative Newton-Raphson technique is the basis for the
    determination of water depth and outflow rates*  Velocity
    computations are made on the basis that flow only occurs when the
    soil is above field capacity.  The model assumes that there is no
    decay of BOD and that there is no conversion of nitrogen forms.
(INP)  Input to models The Agricultural Watershed Runoff Model requires
    a large card-lmaga input data base.  Input data for the model fall
    into seven categories^, and thece arei 1) input and program control
    data* 2) precipitation data, 3} drainage channel specifications, 4)
    land use hydrogeoinetric data^ 5) watershed specifications, 6) soil
    characteristics, and 7) output control information. For each
    watershed subarea, the surface area/ width, and slope must be
    specified*  For each land use type specified for each subarea, the
    Manning nf surface depression storage/ and Morton infiltration
    coefficients must be entered as input data. Drainage channel
    specifications roust include the length, invert slope, and Manning
    n, plus the appropriate cross section data* If the user wishes to
    specify the additional data ahieh will be used to compute the
    contribution of interflow to storm runoff, rather than by
    representing infiltration by the Hoc ton equation alone, the
    following data are required for each sub areas
    1) number of soil layers above the groundaater table/ 2)
    depth of each soil layer, 3) soil permeability coefficient,
    4) soil field capacity, 5) soil saturation level, 6) present
    field capacity available at the beginning of the storm, and
    7) constant basefloy from the watershed*  Constituents must
    be specified by the user.
(OUT)  Output of raodeli Output produced by the model includes a
    print-out of the input data, rainfall hyetographs, runoff
    hyetographs, and a variety of enacts representing the
    concentrations of the constituents. TECHNICAL CONTACTS Dr. Larry
    Roesner Camp Dresser & HcKee Inc« Little River Turnpike jtnnandale,
    VA 22003 COM 703/642-5500
(HOW)  Computational system requiressents -Hardware: Mainframe Univac
    1108 >0isc storage 520k bytes ;Printer 120
(LNG)  Computational system requirements - Language(s) used: Fortran
(OSK)  Computational system requirements: Operator Knowledge/Skills: Pro
    gramming |Engineering
(KTP)  Water Models - Type of model! Mater quality
    Mater run-off
(ENV)  Environment(s) to which model appliess Stream/river >Non-point
    agricultural
(CON)  Processes and constituents included in model: Erosion and
    sedisient /Hydrology jHydraulics ;Quality process Sutrophication,
    Nutrients
(CPL)  Complexity level of models transient mass balance jone
    dimensional
(REF)  References - User manuals, documentation* etc.:
    Roesner, L»A», Zlson, S.W., Monser, J.R., and Lyons,
    T.C., Agricultural Watershed Runoff Model for the Iowa-

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                             Accession No.   19999999909    (cont)

    Cedar River Basins/ prepared  for  the Environmental Protection
    Agency, Systems Development Branch/ Washington/ D.C./ by
    Water Resources Engineers/ Inc./  under  contract No. 68-01-0742/
    November/ 1975.
(CUM)  Contact name(s): Roesner,L.
(COR)  Contact organization: Camp Dresser & McKee Inc.
(ROR)  Responsible Organization;  Carap Dresser and KcKee, Inc..
   6U.S, GOVERNMENT PRINTING OFFICE; 1983 361 092
                              1625

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