&EPA
United States Solid Waste and
Environmental Protection Emergency Response EPA530-R-94-015A
Agency ' (5305) July 1994
Setting Priorities for
Hazardous Waste
Minimization
Appendices
Recycled/Recyclable
Printed on recycled paper that contains at
least 50% post-consumer recycled fiber
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TABLE OF CONTENTS
Appendix 1. Sample BRS Data Forms
Appendix 2. BRS Code Descriptions
Appendix 3. Matching Process - WR/GM
Appendix 4. Documents Used as Sources of Concentration Data
Appendix 5. Retrieval from GENSUR
Appendix 6. Waste Characterizations for Top 150 Routinely Generated Combusted Waste
Stream Combinations
Appendix 7. Summary of Prioritizatiori Systems
Appendix 8. HRS Hazard Data and Pathway Scores from Superfund Chemical Data Matrix
Appendix 9. States and Regions in Which Top 100 Ranked Wastestream Combinations are Generated
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APPENDIX 1
SAMPLE BRS DATA FORMS
Form 1C
Form GM
Form WR
Form PS
Form OI
Form WM
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1991 Hazardous Wastt Report
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APPENDIX 2
BRS CODE DESCRIPTIONS
EPA Hazardous Waste Codes
Source Codes
Form Codes
SIC Codes
Origin Codes
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EPA HAZARDOUS WASTE CODES
Code Waste description
Code Waste description
CHARACTERISTIC HAZARDOUS WASTE
D001 Ignitable waste
D002 Corrosive waste
D003 Reactive waste
D004 Arsenic
D005 Barium
D006 Cadmium
D007 Chromium
D008 Lead
D009 Mercury
D010 Selenium
D011 Silver
D012 Endrin(lt2^,4,10,10-he»chloro-l,7-epoxy-
1,4,43^5,6,7,8,8a-octahydro-L,4-€ado, end°-
5,3-dimeth-ano- naphthalene)
DO 13 Lindane (1,23,4,5,6-hexa-
chlorocydohexane, gamma isomer)
D014 Methoxychlor (l,l,l-trichloro-24-bis [p-
methoxyphenyi] ethane)
DO If Toxaphene (C10 H10 C1N, Technical
chlorinated camphene, 67-69 percent
chlorine)
DO 16 2,4-D (2,4-Dichlorophenoxyacetic acid)
DO 17 2,4.5-TP Silvex (2,4,5-
Trichlorophenoxypropionic acid)
D018 Benzene
DO 19 Carbon tetrachtaride
D020 Chlordaae
D021 Chlorobeazene
D022 Chloroform
D023 o-Cresol
D024 m-Cresol
D025 p-Cresol
D026 Cresol
D027 1,4-Dichlorobenzene
D028 1,2-Dichloroethane
D029 1,1-Dichloroethyieue
.D030 2,4-Dinitrotoluene
D031 Heptachlor (and its epoxide)
D032 Hexachlorobenzene
D033 Hexachlorobutadiene
D034 Hexachloroethane
D035 Methyl ethyl ketone
D036 Nitrobenzene
D037 Pentachlorophenol
D038 Pyridine
D039 Tetnchloroethylene
D040 Trichloroethylene
D041 2,44-Trichlorophenol
D042 2,4,6-Trichlorophenol
D043 Vinyl chloride
HAZARDOUS WASTE FROM NONSPECIFIC
SOURCES
F001 The following spent halogenated solvents
used in degreasing: Tetrachkiroethylene,
trichlorethyleae, methylene chloride, 1,1,1-
trichloroethane, carbon tetrachloride and
chlorinated fluorocarbons; all spent
solvent mixtures/blends used in degreasing
containing, before use, a total of ten
percent or more (by volume) of one or
more of the above halogenated solvents or
thote solvents listed in F002, POM, and
FOOS; and still bottoms from the recovery
of these spent solvents and spent solvent
mixtures.
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EPA HAZARDOUS WASTE CODES
(Continued)
Code Waste description
Code Waste description
F002 The following spent haiogenated solvents:
Tetrachloroethyiene, methyiene chloride,
tricolor oethylene, 1,1,1-trichloroethane,
chlorobenzene, 1,1,2-trichloro-1,2»2-
trifluoroethane, ortho-dichlorobenzene,
trichlorofluoromethane, and 1,1 A
trichloroethane; all spent solvent
mixtures/blends containing, before use, a
total of ten percent or more (by volume)
of one or more of the above haiogenated
solvents or those solvents Listed in F001,
F004, and FOGS; and still bottoms from the
recovery of these spent solvents and spent
solvent mixtures.
F003 The following spent non-balogenated
solvents: Xyiene, acetone, ethyl acetate,
ethyl benzene, ethyl ether, methyl isobutyt
ketone, n-butyi alcohol, cyclohexanone,
and methanol; all spent solvent mixtures/
blends containing, before use, only the
?.bove spent non-halofenated solvents; and
all spent solvent mixtures/blends
containing, before use, one or more of the
above non-halogenated solvents, and a
total of ten percent or more (by volume)
of one or more of those solvents listed in
F001, F002, F004, and FOQS; and still
bottoms from the recovery of these spent
solvents and spent solvent mixtures.
F004 The following spent noa-halogenated
solvents: cresols, cresyik acid, and
nitrobenzene; an spent solvent
mixtures/Meads containing, before use, a
total of tea percent or more (by volume)
of one onnore of the above non-
tutogemated solvents or those solvents
Listed in P001, FOQ2, and F005; and still
oottoms from the recovery of these spent
solvents and spent solvent mixtures.
F005 The following spent non-halogenated
solvents: toluene, methyl ethyl ketone,
carbon disulfide, isobutanoi, pyridine,
benzene, 2-ethoxyethanol, and 2-
nitropropane; all spent solvent
mixtures/blends containing, before
use, a total of ten percent or more (by
volume) of one or more of the above
halogenated solvents or those solvents
listed in P001, F002, or F004; and still
bottoms from the recovery of these spent
solvents and spent solvent mixtures.
F006 Wastewtter treatment sludges from
electroplating operations except from the
following processes: (1) sulfuric acid
anodizing of aluminum; (2) tin plating on
carbon steel; (3) zinc plating (segregated
basis) on carbon steel; (4) aluminum or
zinc-aluminum plating oa carbon steel; (5)
cleaning/stripping associated with tin, zinc,
and aluminum plating oa carbon steel; and
(6) chemical etching and milling of
aluminum.
FOOT Spent cyanide plating bath solutions from
electroplating operations.
F008 Plating bath residues from the bottom of
plating baths from electroplating
operations in which cyanides are used in
the process.
FOOT Spent stripping aad cleaning bath solutions
from electroplating operations in which
cyanides are used in the process.
F010 Quenching bath residues from oil baths
from metal heat treating operations in
which cyanides are used in the process.
F011 Spent cyanide solutions from salt bath pot
cleaning from metal heat treating
operations.
F012 Quenching wastewater treatment sludges
from metal heat treating operations in
.which cyanides are used in the process.
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EPA HAZARDOUS WASTE COOES
(Continued)
Code Waste description
Code Waste description
F019
F020
F021
F022
F023
Wastewater treatment sludges from the
chemical conversion coating of aluminum
except from zirconium phosphating in
aluminum can washing when such
phosphating is an exclusive conversion
coating process.
Wastes (except wastewater and spent
carbon from hydrogen chloride
purification) from the production or
manufacturing use (as a reactant, chemical
intermediate, or component in a
formulating process) of tri- or
tetrachlorophenol or of intermediates used
to produce their pesticide derivatives.
(This listing does not include wastes from
the production of hexachlorophene from
highly purified 2,4,5-trichloropaenol.)
Wastes (except wastewater and spent
carbon from hydrogen chloride
purification) from the production or
manufacturing use (as a reactant, chemical
intermediate, or component in a
formulating process) of
pentachlorophenol, or of intermediates
used to produce derivatives.
Wastes (except wastewater and spent
carbon from hydrogen chloride
purification) from the manufacturing use
(as a reactant, chemical intermediate, or
component in a formulating process) of
tetra-, penta-, or hexachlorobenzenes
under ai^ai'*"1 conditions.
Wastes (except wastewater and spent
carbon from hydrogen chloride
purification) from the production of
materials oa equipment previously used
for the production or manufacturing use
(as a reactant, chemical intermediate, or
component in a formulating process) of
tri- and tetrachlorophenols. (This listing
does not include wastes from equipment
used only for the production or use of
hexachlorophene from highly purified
2,4,5-trichlorophenoL)
F024 Process wastes including, but not limited
to, distillation residues, heavy ends, tars,
and reactor clean-out wastes, from the
production of certain chlorinated aliphatic
hydrocarbons by free radical catalyzed
processes. These chlorinated aliphatic
hydrocarbons are those having carbon
chain lengths ranging from one to and
including five, with varying amounts and
positions of chlorine substitution. (This
listing does not include wastewaters,
wastewater treatment sludges, spent
catalysts, and wastes listed in Sections
261.31. or 26U2)
F025 Condensed light ends, spent filters and
filter aids, and spent desiccant wastes from
the production of certain chlorinated'
aliphatic hydrocarbons, by free radical
catalyzed processes. These chlorinated
aliphatic hydrocarbons are those having
carbon chain lengths ranging from one, to
and including five, with varying amounts
and positions of chlorine substitution.
F026 Wastes (except wastewater and spent
carbon from hydrogen chloride
purification) from the production of
materials on equipment previously used
for the manufacturing use (as a reactant,
chemical intermediate, or component in a
formulating process) of tetra-, penta-, or
hexachlorobenzene under alkaline
conditions.
F027 Discarded unused formulations containing
tri-, tetra-, or pentachlorophenol or
discarded unused formulations containing
compounds derived from these
chloropbenols. (This listing does not
include formulations containing
tuMryhirtyqph{>n^ synthesized from
prepurified 2,4,5-trichloropaenol as the
sole component)
F028 Residues resulting from the incineration or
thermal treatment of soil contaminated
with EPA hazardous waste MS.P020.
F02L, F022, F023, P026, and F027.
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EPA HAZARDOUS WASTE CODES
(Continued)
Code Waste description
Code Waste description
F032 Wastewaters, process residuals,
preservative drippage, and spent
formulations from wood preserving
processes generated at plants that
currently use, or have previously used,
chlorophenolic formulations [except
potentially cross-contaminated wastes that
have had the F032 waste code deleted in
accordance with Section 26135 (i.e., the
newly promulgated equipment cleaning or
replacement standards), and where the
generator does not not resume or initiate
use of chlorophenoiic formulations). This
listing does not include K001 borom
sediment sludge from the treatment of
wastewater from wood preserving
processes that use creosote and/or
penuchloropbenoL
F034 Wastewaters, process residuals,
preservative drippage, and spent
formulations from wood preserving
processes generated at plants that use
creosote formulations. This listing does
not include K001 bottom sediment sludge
from the treatment of wastewater from
wood preserving processes that use
creosote and/or pentachlorophenoL
F035 Wastewaters, process residuals,
preservative drippage, aad spent
formulations from wood preserving
processes generated at plants that use
• inorganic preservatives containing arsenic
or chromium. This listing does not include
KD01 bottom sediment sludge from the
treatment of wastewater from wood
preserviaf processes that use creosote
and/or peatachloropheaoL
F037 Petroleum refinery primary
oil/water /solids separation sludge • Any
sludge generated from the gravitational
separation of oil/water/solids during the
storage or treatment of process
wasiewaiers and oily cooling wastewaters
from petroleum refineries. Such sludges
include, but are not limited to, those
generated in oil/water/solids separators;
tanks and impoundments; ditches and
other conveyances; sumps; and storm
water units receiving dry weather flow.
Sludges generated in storm water units
that do not receive dry weather flow,
sludges generated in aggressive biological
treatment units as defined in Section
261 -31(b)(2)(induding sludges generated
in one or more additional units after
wastewaters have been treated in
aggressive biological treatment units),
and KQS1 wastes are exempted from this
ILcrina
F038 Petroleum refinery secondary (emulsified)
oil/water/solids separation sludge • Any
sludge and/or float generated from the
physical and/or chemical separation of
oil/water/solids in process wastewaters
and oily cooling wastewaters from
petroleum refineries. Such wastes include,
but are not limited to, all sludges and
floats generated in induced air flotation
(IAF) units, tanks and impoundments, and
all sludges generated in DAF units.
Sludges generated in stormwater units that
do not receive dry weather flow, sludges
generated in aggressive biological
treatment units as defined in Section
261.31(b)(2) (including sludges generated
in one or more additional units after
wastewaten have been treated in
aggressive biological treatment units),
and P037, K048, and K051 wastes are
exempted from this listing,
F039 Leachate resulting from the treatment,
storage, or disposal of wastes classified by
more than one waste code under Subpart
D, or from a mixture of wastes classified
under Subparts C and D of this part
(Leacfaate resulting from the management
of one or more of the following EPA
Hazardous Wastes and no other hazardous
wastes retain* its hazardous waste code(s):
F020, F021, F022, R)23, F026, F027,
and/or FD28.)
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EPA HAZARDOUS WASTE CODES
(Continued)
Code Waste description
Code Waste description
HAZARDOUS WASTE FROM SPECIFIC
SOURCES
K001 Bottom sediment sludge from the
treatment of wastewatcrs from wood
preserving processes that use creosote
and/or pentachlorophenoL
K002 Wastewater treatment sludge from the
production of chrome yellow and orange
pigments.
K003 Wastewater treatment sludge from the
production of moiybdate orange pigments.
K004 Wastewater treatment sludge from the
production of zinc yellow pigments.
K005 Wastewater treatment sludge from the
production of chrome green pigments.
K006 Wastewater treatment sludge from the
production of chrome oxide green
pigments (anhydrous and hydrated).
K007 Wastewater treatment sludge from the
production of iron blue pigments.
K008 Oven residue from the production of
chrome oxide green pigments.
K009 Distillation bottoms from the production
of acetaldehyde from ethyiene.
K010 Distillation side cuts from the production
of acetaldehyde from ethyiene.
K011 Bottom stream from the wastewmter
stripper in the production of acryionitrile.
K013 Bottom stream from the acetonitrile
column ai the production of acryionitrile.
K014 Bottom* from the acetonitrile purification
column in the production of acryionitrile.
KOIS Still bottoms from the distillation of benzyl
chloride.
K016 Heavy ends or distillation residues from
the production of carbon tetrachloride.
K017 Heavy ends (still bottoms) from the
purification column in the production of
epichlorohydrin.
K018
K019
K020
K021
K022
K023
K024
K025
K026
K027
K028
K029
K030
K031
K032
K033
Heavy ends from the fractionation column
in ethyl chloride production.
Heavy ends from the distillation of
ethyiene dichloride in ethyiene dichloride
production.
Heavy ends from the distillation of vinyl
chloride in vinyl chloride monomer
production.
Aqueous spent antimony catalyst waste
from fluoromethanes production.
Distillation bottom tars from the
production of phenol/acetone from
cumene.
Distillation light ends from the production
of phthalic anhydride from naphthalene.
Distillation bottoms from the production-
of phthalic anhydride from naphthalene.
Distillation bottoms from the production
of nitrobenzene by the nitration of
Stripping still tails from the production of
methyl ethyl pyridines.
Centrifuge and distillation residues from
toluene diisocyanate production.
Spent catalyst from the hydrochlorinator
reactor in the production of 1,1,1-
trichloroethane.
Waste from the product steam stripper in
the production of 1,1,1-trichloroethane.
C^u"1" bottoms or heavy ends from the
combined production of trichloroethylene
and perchloroethylene.
By-product salts generated in the
production of MSMA and cacodytic acid.
Wastewater treatment sludge from the
production of chlordane.
Wastewater and scrub water from the
chlorination of cyclopentadiene in the
production of chlordane.
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EPA HAZARDOUS WASTE CODES
(Continued)
Code Waste description
Code Waste description
K034 Filter solids from the filtration of
hexachlorocyclopentadiene in the
production of chlordane.
K035 Wastewater treatment sludges generated
in the production of creosote.
K036 Still bottoms from toluene reclamation
distillation in the production of disulfoton.
K037 Wastewater treatment sludges from the
production of disulfoton.
K038 Wastewater from the washing and
stripping of phorate production.
K039 Filter cake from the filtration of
diethylphosphorodJthioic acid in me
production of phorate.
K040 Wastewater treatment sludge from the
production of phorate.
K041 Wastewater treatment sludge from the
production of toxaphene.
K042 Heavy ends or distillation residues from
the distillation of tetrachlorobenzene in
the production of 2,4,5-T.
K043 2,6-dichlorophenol waste from the
production of 2,4-D.
K044 Wastewater treatment sludges from the
manufacturing and processing of
explosives.
K04S Spent carbon from the treatment of
wastewater containing explosives.
K046 Wastewater treatment sludges from the
manufacturing, formulation, and loading of
lead-band i*iri«ring compounds.
K047 Pink/red water from TNT operations.
K048 Dissolved air flotation (DAF) float from
the petroleum refining industry.
K049 Slop oil emulsion solids from the
petroleum refining industry.
K050 Heat exchanger bundle Caning sludge
from the petroleum refining industry.
KQS1 API separator sludge from the petroleum
refining industry.
K052
K060
K061
K062
K064
K06S
K066
K069
K071
K073
K083
K084
K08S
Tank bottoms (leaded) from the
petroleum refining industry.
Ammonia still lime sludge from coking
operations.
Emission control dust/sludge from the
primary production of steel in electric
furnaces.
Spent pickle liquor generated by steel
finishing operations of faculties within the
iron and steel industry (SIC Codes 331 and
332).
Acid plant blowdown slurry/sludge
resulting from the thickening of blowdown
slurry from primary copper production.
Surface impoundment solids contained ia
and dredged from surface impoundments
at primary lead smelting facilities.
Sludge from treatment of process
wastewater and/or acid plant blowdown
from primary ziac production.
Emission control dust/sludge from
secondary lead smelting.
Brine purification muds from the mercury
cell process in chlorine production, in
which separately prepurified brine is not
used.
Chlorinated hydrocarbon waste from the
purification step of the diaphragm cell
process using graphite anodes in chlorine
production.
Distillation bottoms from aniline
production.
Wastewater treatment sludges generated
during the production of veterinary
Pharmaceuticals from arsenic or orgaao-
arsenic compounds.
Distillation or fractionation column
bottoms from the production of
chlorobenzenes.
-------
EPA HAZARDOUS WASTE CODES
(Continued)
Code Waste description
Code Waste description
K086
K087
K088
K090
K091
K093
K094
K095
K096
K097
K098
K099
KICK}
K.101
Solvent washes and sludges, caustic washes
and sludges, or water washes aad sludges
from gleaning tubs and equipment used in
the formulation of ink from pigments,
driers, soaps, and stabilizers containing
chromium and lead.
Decanter tank tar sludge from coking
operations.
Spent podiners from primary aluminum
reduction.
Emission control dust or sludge from
ferrochromiumsilicon production.
Emission control dust or sludge from
ferrochromium production.
Distillation light ends from the production
of phthalic anhydride from ortho-xylene.
Distillation bottoms from the production
of phthalic anhydride from ortho-xylene.
Distillation bottoms from the production
of 1,1,1-trichloroethane.
Heavy ends from the heavy ends column
from the production of 1,1,1-
trichloroe thane.
Vacuum stripper discharge from the
chlordane chlorinator in the production of
chlordane.
Untreated process wastewater from the
production of tcoaphene.
Untreated wastewater from the production
of2,4-D.
K102
Waste i»T**""g solution from acid leaching
of emission control dust/sludge from
secondary lead smelting.
Distillation tar residues from the
distillation of aniline-based compounds in
the production of veterinary
Pharmaceuticals from arsenic or organo-
arsenic compounds.
Residue from the use of activated carbon
for decolonization in the production of
veterinary phannaceuticals from arsenic or
organo-arsenic compounds.
K103 Process residues from aniline extraction
from the production of aniline.
K104 Combined wastewater streams generated
from nitrobenzene/aniline production.
K105 Separated aqueous stream from the
reactor product washing step in the
production of chlorobenzenes.
K106 Wastewater treatment sludge from the
mercury cell process in chlorine
production.
K107 Column bottoms from product separation
from the production of 1,1-
dimethythydrazine (UDMH) from
carboxytic acid hydrazines.
K108 Condensed column overheads from
product separation and condensed reactor
vent gases from the production of 1.1-
dimetbyihydrazine (UDMH) from
carboxytic acid hydrazides.
K109 Spent filter cartridges from produa
purification from the production of 1,1-
dimethyihydrazine (UDMH) from
carboxylic acid hydrazides.
K110 Condensed column overheads from
intermediate separation from the
production of 1,1-dimethylhydrazine
(UDMH) from carboxylic acid hydrazides.
Kill Product wmshwaters from the production
of dinitrotoiuene via nitration of toluene.
K112 Reaction by-product water from the drying
column in the production of
toluenediamtne via hydrogenation of
dinitrotoiuene.
K113 Condensed liquid light ends from
purification of toiuenediamine in
production of toiuenediamine via
hydrogenation of dinitrptoJueae.
Kl 14 Vicinals from the purification of
toiuenediamine in production of
toiuenediamine via hydrogenation of
dinitrotoiuene.
-------
EPA HAZARDOUS WASTE CODES
(Continued)
Code Waste description
Code Waste description
K1I5 Heavy ends from purification of
toiuenediamine in the production of
toluenediamine via hydrogenation of
dinitrotoluene.
K116 Organic condensate from the solvent
recovery column in the production of
toluene diisocyanate via phosgenation of
toluenediamine.
K117 Wastewater from the reactor vent gas
scrubber in the production of ethyiene
dibromide via bromination of ethene.
K118 Spent adsorbent solids from purification of
ethyiene dibromide in the production of
ethyiene dibromide via bromination of
ethene.
K123 Process wastewater (including superoales.
Citrates, and washwaten) from the
production of ethyienebisdithiocarbamic
acid and its salt
K124 Reactor vent scrubber water from the
production of ethyienebisdithiocarbamic
acid and its salts.
K125 Filtration, evaporation, and centrifugation
solids from the production of
ethyienebisdithiocarbamk acid and its
salts.
KL26 Baghouse dust and floor sweepings in
milling and packaging operations from
production or formulation of
ethyienebisdithiocarbamk acid and its
salts.
K131 Wastewater from the reactor and spent
sulfuric acid from the acid dryer from the
production of methyl bromide.
K132 Spent absorbent and wastewater separator
solids from the production of methyl
bromide.
K136 Still bottoms from the purification of
ethyiene dibromide in the production of
ethyiene dibromide via bromination of
ethene.
DISCARDED COMMERCIAL CHEMICAL
PRODUCTS, OFF-SPECIFICATION SPECIES,
CONTAINER RESIDUALS, AND SPILL
RESIDUES THEREOF-ACUTE HAZARDOUS
WASTE
(AN ALPHABETIZED LISTING CAN BE
FOUND AT 40 CFR 26133.)
P001
P001
P002
P002
P003
POQ3
P004
P004
POOS
P005
P006
P007
P007
POOS
POOS
P009
P009
P010
PO 1 1
P011
PO 12
POL2
POL3
2H-l-Benzopyran-2-one, 4-hydroxy-3-(3-
axo-1-phenyibutyi)-, & salts, when present
at concentrations greater than 03%
Warfarin, it salts, when present at
concentrations greater than 03%
l-Acetyl-2-thiourea
Acetamide, N-(aminothioxomethyi)-
2-Propenal
Aoroleia
1,4,5,8-DimethanonaphthaJene,
hexahydro-, (lalpha, 4alpha, 4abeta,
5alpha, Salpha, 8abeta>
Aldrin
2-Propen-l-ol
Allyl alcohol
Aluminum phosphide (R,T)
3(2H)-I$oxazolone, 5-(aminomethyl)-
5-(Aminomethyi)-3-isoxazolol
4-Aminopyridine
4-Pyridinamine
Ammonium picrate (R)
Phenol, 2,4,6-trinitro-, ammonium salt (R)
Arsenk acid
Arsenic oxide
Arsenic pentoxide
Arsenic oxi
Arsenk trioxide
Barium cyanide
-------
EPA HAZARDOUS WASTE CODES
(Continued)
Code Waste description
Code Waste description
P014 Beozenethiol
P014 Thiophenol
P015 Beryllium
P016 Dichloromethyl ether
P016 Methane, oxybis[chloro-
P017 2-Propanone, 1-bromo-
P017 Bromoacetone
P018 Brucine
P018 Strychnidin-lO-one, 24-dimethoxy-
P020 Dinoseb
P020 Phenol, 2-(l-methylpropyl)-4,6-diniiro-
P021 Calcium cyanide
P021 Calcium cyanide Ca(CN):
P022 Carbon disulfide
P023 Acetaldehyde, chloro-
P023 Chloroacetaldehyde
P024 Benzenainine, 4-chloro-
P024 p-Chloroaniline
P026 l-(o-Chlorophenyl)thiourea
P026 Thiourea, (2-chlorophenyl)-
P027 3-Chloropropionitrile
P027 Propanenitrile, 3-chloro-
P028 Benzene, (chloromethyO-
P028 Benzyl chloride
P029 Copper cyaaidt
P029 Copper cyanide Cu(CN)
P030 Cyanides (ttlubfe cyanide salts), not
otherwise specified
P031 Cyanogen
P031 Ethanedinithle
P033 Cyanogen chloride
P033 Cyanogen chloride (CN)C1
P034 2-Cyclohexyl-4,6-dinitrophenol
P034 Phenol, 2-cydohexyl-4,6^iinitro-
P036 Arsonous dichloride, phenyl-
P036 Dichlorophenylarsine
P037 2,7:3,6-Dimethanonaphth[2J-b]oxirene,
3,44,6,9,9-hexachloro-la,2,2aJ,6,6a,7,7a-
octahydio-, (laalpha, 2beta, 2aalpha,
3beta, 6beta, 6aalpha, Tbeta, 7aalpha)-
P037 Dieldrin
P038 Arsine, diethyi-
P038 DiethyUrsine
P039 Disulfoton
P039 Phosphorodithiok acid, O.O-diethyl S-{2-
(ethylthio)ethyl] ester
P040 O,O-Diethyi O-pyraziflyl phosphorothioate
P040 Phosphorothioic acid, O,O-diethyl O-
pyrazinyl ester
P041 Diethyl-p-nitrophenyi phosphate
P041 Phosphoric acid, diethyl 4-nitrophenyi
ester
P042 U-Benzenedto!, 4-[l-hydroxy-2-
(methylamino)eihyl]-, (R)-
P042 Epinephrine
P043 Diisopropyifluorophosphate (DFP)
P043 Phosphoroihioridk acid, bis(l-
methykthyi) ester
P044 Dimcthoate
P044 Phosphorodithioic acid, O.O-dtmethyl S-
[2-(methyiamino)«2-oxoethyl] ester
P045 2-Butanone, 33-dimethyl-l-(methylthio)-,
O-[methylamino)carbonyl] oxime
P045 Thiofanox
P046 alpha,alpha-Dimethylphenethylamine
P046 Benzeneethanamine, alpha, alpha-
dimethyU
P047 4,6-Dinitro-o-cre«oi, & sabs
P047 Phenol, 2-methyM,6-diaitro-, & salts
P048 2,4-Dinitrophenol
P048 Phenol, 2,4-dinitro-
P049 Dithiobturet
-------
EPA HAZARDOUS WASTE CODES
(Continued)
Code Waste description
Code Waste description
P049
P050
POSO
P051
POS1
P051
P054
P054
P056
POS7
P057
P058
P058
P059
P059
P060
P060
P062
P062
P063
P063
P064
P064
PO&5
P065
Thioimidodkarbonic diamide
[(H2N)C(S)J2NH
6,9-Metnano-2,4,3-
benzodioxathiepinAT.S^.lO.lO-
hexachloro- U,5a,6,9,9a-hexahydro-,3-
oxide
Eadosulfan
2,7:3,6-Dimethanonaphth[23-b]oxirene,
3,4,5,6.9,9-hexachloro- la,2^U,6,6a,7,7a-
octahydro-, (laalpha, 2beta, Zabeta,
3aJpha. 6alpha, 6abeta. Tbeta, TaaJpha)- &
metabolites
Endrin
Endrin, & metabolites
Aziridine
Ethyieneimioe
Fluorine
Acetamide, 2-fluoro-
Fluoroacetamide
Acetic acid, fluoro, sodium salt
Fluoroacetic acid, sodium salt
4,7-Methano-lH-iadene, MA6.7A8-
heptachJoro-3a,4,7,7a-tetral»ydro-
HeptacUor
,,
henJiydro-, (lalpiu, 4alpaa, 4abeta, 5beta,
Sbeta, 8afaeu>
Isodrift
Hexaethyl tetrapbocpaate
Tetraphosphoric acid, bexaethyi ester
Hydrocyiaic acid
Hydrogen cyanide
Metjune, isocyanato-
Methyi isocyanate
Fulmink acid, mercu«y<2+) sak (R,T)
Mercury fulminate (R,T)
P066
P066
P067
P067
P068
P06S
P069
P069
P070
P070
P071
P071
P072
P072
P073
P073
P074
P074
P075
P075
P076
P076
P077
P077
POTS
P078
P081
P081
P082
P082
Ethanifflidothiotc acid, N-
[[(methyUmino)carbonyi]oxyJ-, methyl
ester
Metaomyl
1^-Propyienimine
Aziridine, 2-methyi*
Hydrazine, methyl-
Methyl hydrazine
2-MethyUactonitrile
Propanenitrile, 2-hydroxy-2-methyi-
Aldicarb
PropanaJ, 2-methyt-2-(methyhhio)>t O-
[(methyUmino)carbonyl]oxune
Methyl parathion
Phosphorothioic acid, O,O,-dimethyl O-(4-
nitrophenyi) ester
alpha-Naphthylthiourea
Thiourea, 1-naphthaknyt-
Nickel carbofiyi
Nickel carbonyl Ni(CO)4, (T-4)-
Nickel cyanide
Nickel cyanide Ni(CN):.
Nicotine, A salts
Pyridine, 3-(l-methyl-2-pyrrolidinyi)-,(S).,
& salts
Nitric oxide
Nitrogen oxide NO
Benzenamiae, 4-nitro-
p-Nitroaniline
Nitrogen dioxide
Nitrogen oxide NO2
1,23-Propanetriol, trinitrate (R)
Nitroglycerine (R)
Methanimine, N-methyl-N-aitroso-
N-Nitrosodimethylamiae
10
-------
EPA HAZARDOUS WASTE CODES
(Continued)
Code Waste description
Code Waste description
P084 N-Nitrosomethylvinylamine
P084 Vinylamine, N-methyl-N-nitroso-
P085 Diphosphoramide, octamethyl-
P085 Octamethylpyrophosphoramide
P087 Osmium oxide OsO4, (T-4)-
PG87 Osmium tetroxide
P088 7-Oxabicydo(12.1]heptafle-2^-
dicarboxylic acid
P088 Endothall
P089 Parathion
P089 Phosphorothioic acid, O,O-diethyl-O-(4-
nitrophenyi) ester
P092 Mercury, (acetato-O)phenyl-
P092 Phenylmercury acetate
P093 Phenyhhiourea
P093 Thiourea, phenyl-
P094 Phorate
P094 Phosphorodithioic acid, O.O-dietfayl S-
[(ethyithio)methyi] ester
P095 Carbonic dichloride
P095 Phosgene
P096 Hydrogen phosphide
P096 Phosphine
P097 Famphur
P097 Phosphorothioic acid O-{4-
[(dimethyiamino)sulfonyi]phenyll O,O-
dimcLhyi ectef
P098 Potaiiiion cjruide
P098 Potassiuai cyanide K(CN)
P099 Argentate (1-), bis(cyaooC)-, poussiuin
P099 Potassium silver cyanide
P101 Ethyl cyanide
P101 Propanenitrile
P102 2-Propyn-l-ol
P1G2 Propargyl alcohol
P103 Selenourea
P104 Silver cyanide
P104 Silver cyanide Ag(CN)
P10S Sodium azide
P106 Sodium cyanide
P106 Sodium cyanide Na(CN)
P107 Strondum sulfide SrS
P108 Strycanidin-10-one, &. salts
P108 Strychnine, &. salts
P109 Tetraethyldithiopyrophosphate
P109 Thiodiphosphoric acid, tetraethyl ester
PI 10 Plumbane, tetraethyi-
P110 Tetraethyl lead
Pill Diphosphoric acid, tetraethyl ester
Pill Tetraethyl pyropoosphate
PI 12 Methane, tetranitro- (R)
PI 12 Tetranitromethane (R)
P113 Thallic oxide
P1D Thallium oxide T^O)
P114 Selenious acid, dithallium (!•»•) salt
PI 14 Thallium(I) selenite
P1L5 Sulfuric acid, dithallium (1 + ) salt
PI 15 Thallium(I) sulfate
P116 Hydrazinecarbothioamide
PI 16 Thiosemicarbazide
PI 18 Methanethiol, trichloro-
P118 Trichloromethanethioi
P119 Ammonium vanadate
P119 Vanadk acid, ammonium salt
PI20 Vanadium oxide V2O5
P120 Vanadium pentoxide
P121 Zinc cyanide
?121 Zinc cyanide Zn(CN)2
P122 ZJic phosphide Zi^Pj, when present at
concentrations greater than 10% (R,T)
PI13 Toxaphene
11
-------
EPA HAZARDOUS WASTE CODES
(Continued)
Code Waste description
DISCARDED COMMERCIAL CHEMICAL
PRODUCTS, OFF-SPECIFICATION SPECIES,
CONTAINER RESIDUES. AND SPILL
RESIDUES THEREOF-TOXIC WASTES
(AN ALPHABETIZED LISTING CAN BE
FOUND AT40 CFR 261.33.)
23,4,6-Tetrachlorophenol
2,4,5-T
2,4,5-Trichlorophenol
2,4,6-Trichlorophenol
Acetic acid, (2,4,3-tricfalorophenoxy)-
Pentacbloropheool
Phenol, 23,4,6-tetrachloro-
Phenci 2,4,5-trichloro.
Phenol, 2,4,6-trichloro-
Phenol, pentachloro-
Propanoic acid, 2-(2,4,5-
trichlorophenoxy)-
Silvex (2,4,5-TP)
U010 Azirino [
diooe, 6-amino-£
[[(tminocarbonyOoxylmethyl]-
See
F027
UOOI1
U001
U002
U002
U003
U004
U004
U005
U005
U006
U007
U007
U008
U008
U009
U009
Acetaldehyde (I)
Ethanal(I)
2-Propanone (I)
Acetone (I)
Acetonitrile (I,T)
Acetophenone
Ettinooe, 1-pbeoyl-
2-AcetyUminofloorene
Aceuraide, N-9H-fluoren-2-yl
Acetyl chloride (QR,T)
2-PropeaaQude
Acryiamide
2-Propenoic acid (I)
Aoylic acid (I)
2-Propcnenitrile
AcrykMutrile
U010
U011
U011
U012
U012
U014
U014
U015
U01S
U016
U017
U017
U018
U019
U020
U020
U021
U021
U022
U023
U023
U024
U024
U025
U025
U026
U026
methyl-, [laS-(laaipha, Sbeta, Saalpha,
Sbalpfaa))-
MitomyciaC
lH-L2,4>Triazol-3-amiae
Amitrole
Anfliae (I,T)
Beazeaamiae (I,T)
Auramlne
Benzeaamine, 4,4'^arboniniidoylbis(N^.
dimethyl'
Azaseriae
L-Seriae, diazoacetate (ester)
Beaz(c]acridiae
Benzal chloride
Benzene, (dichloromethyi)-
Beaz(a]anthraceae
Benzene (1,T)
Beazeaesulfoaic acid chloride (QR)
Beazeaesulfonyl chloride (QR)
Beazidiae
Beazo(a]pyreae
Benzene, (trichloromethyl)-
Beazocrichloride (QR,T)
Dichloromethoxy ethane
Ethane, Ll'-{ineihyleaebis(
-------
EPA HAZARDOUS WASTE COOES
(Continued)
Code Waste description
Code Waste description
L'027 Dichloroisopropyl ether
U027 Propane, W-oxybis(2-chloro-
U028 1,2-Beazenedicarboxylic acid, bis(2-
ethylhexyi) ester
U028 Diethylhexyl phthalate
U029 Methane, bromo-
U029 Methyl bromide
U030 4-Bromophenyl phenjl ether
U030 Benzene, l-bromo-4-phenoxy-
U031 1-Butanol (I)
U031 n-Butyi alcohol (I)
L'032 Calcium chromate
U032 Chromic acid H2CrO4, calcium salt
U033 Carbon oxyfluoride (R,T)
U033 Carbonic difluoride
U034 Acetaldehyde, trichloro-
U034 Chloral
U035 Benzenebutanoic acid, 4-[bis(2-
chloroethyOamino]-
U035 Chlorambucil
U036 4,7-Methano-lH-indene, 1,2,4,5,6,7,8,§-
ocfachloro-2^4a,4,7,7a-h«xahydro-
U036 Chlordane, alpha & gamma isomers
U037 Benzene, chloro-
U037 Chlorobenzeae
U038 Benzeneacedc add, 4-chloro-alpha-(4-
chJorophenyO-«lpha-hydroxy-, ethyl ester
U038 CWorobeazflale
L'039 p-Chloro-m-creaoi
U039 Phenol, 4-chloro-3-methyl-
L"041 Epichlorohydrin
U041 Oxirane, (chloromethyl)-
U042 2-Chloroethyl vinyl ether
U042 Ethene, (2-chloroethoxy)-
U043 Eihene, chloro-
U043
U044
U044
U045
U045
U046
U046
U047
U047
U048
U048
U049
U049
U050
U051
U052
U052
UOS3
UOS3
U055
U055
U056
U056
U057
U058
U058
U059
U059
U060
Vinyl chloride
Chloroform
Methane, trichloro-
Methane, chloro- (I.T)
Methyl chloride (I.T)
Chloromethyi methyl ether
Methane, chloromethoxy-
beta-Chloronaphthalene
Naphthalene, 2-chloro-
o-Chlorophenol
Phenol, 2-chIoro-
4-Chloro-o-toluidine, hydrochloride.
Benzenamine, 4-chloro-2>methyi-,
hydrochloride
Chrysene
Creosote
Cresol (Cresyiic acid)
Phenol, methyl*
2-Butenal
Crotonaldehyde
Benzene, (1-methytethyl)- (I)
Cumene (I)
Benzene, hexahydro- (I)
Cydobexane (I)
Cydohexanone (I)
2H-lA2-Oxizaphosphorin-2-aniine, N,N-
bis(2-chloroethyi)tetrahydro-, 2-oxide
Cydophosphamide
5,12-Naphthacenediooe, 8-acetyl-10-[(3-
am ino-2,3,6-trideo3cy)-alph*-L-iyxo-
hexopyranosyOoxy]-7A9;10-tetrahydro-
6,8,11-trihydroxy-l-methoxy-, (8S-cis)-
Daunomycin
Benzene, l,
dichioroethyUdene)bis(4-chloro»
U060 ODD
13
-------
EPA HAZARDOUS WASTE CODES
(Continued)
Code Waste description
Code Waste description
U061 Benzene, l.l'-(2,2.2-
trichloroethylidene)bis(4-chloro-
U061 DDT
U062 Carbamothioic acid, bis(l-methylethyi)-,
S-(i3-dichJoro-2-propenji) ester
U062 Diallate
U063 Dibenzfehjanthracene
U064 Benzo{rst]pentaphene
U064 Dibenzo{a,i]pyrene
L'066 1,2-Dibromo-S-chJoropropane
U066 Propane, l^-dibromo-3-chIorcK
U067 Ethane, 1,2-dibromo-
U067 Ethyiene dibromide
U068 Methane, dibromo-
U068 Methylene bromide
U069 1,2-BenzenedkarboxyUc acid, dibutyl ester
U069 Dibutyl phthalate
U070 Benzene, 1,2-dichloro-
L'070 o-DichJorobenzene
L'071 Benzene, 13-dichloro-
L'071 m-Dichlorobenzenc
U072 Benzene, 1,4-dichJoro-
U072 p-Dichlorobenzene
U073 [l,l'-BiphenylJ-4,4f-dumine, 33*-dichJoro-
L'073 3;r-DichJorobenzidine
U074 l,4-DkhJoro-2-butene (I.T)
U074 2-Butene, l,4Klknloro- (I,T)
U07S DicWorodi/hxxoinethane
U075 Methane, dkhlorodifluoro-
U076 Ethane, U-dichloro-
U076 EthyUdene dichloride
U077 Ethane, 1,2-dichloro-
UOT7 Ethyiene dichloride
U078 1,1-Dichlorocthylene
L'078 Ethene, 1,1-dichloro
U079 U-Dichloroethyiene
U079 Ethene, U-dichloro-.(E)-
U080 Methane, dichloro-
U080 Methylene chloride
U081 2,4-Dichlorophenol
U081 Phenol, 2,4-dichJoro-
U082 2,6-DichlorophenoI
U082 Phenol, 2,6-dichloro-
U083 Propane, 1,2-dichloro-
U083 Propyiene dichloride
U084 13-Dichloropropene
U084 1-Propene, 13-dichloro.
U085 1,23,4-Diepoxybutane (I,T)
U085 W-Biorirane
U086 Hydrazine, U^liethyl-
U086 N^T-Diethylhydrazine
U087 O.O-Diethyi S-methyi dithiophosphate
U087 Phosphorodithioic acid, O,O-diethyl S-
methyl ester
U088 1^-Benzenedicarboxyiic acid, diethyi ester
U088 Diethyi phthakte
U089 Dtethyistilbesterol
U089 Phenol, 4,4>.(U-dieth3
(E)-
L'090 13-Benzodioxole, 5-propyl-
U090 Dihydrosafrole
U091 [l,r-Biphenyl]-4,4fslianjine, 33'-
dimethoxy-
L'091 33'-Dimethoxybenzidine
L'092 Duoethylaffline (I)
L'092 Methanamine, N-methyl- (1)
L 093 Benzenamine, N^N-dimethyl-4-
(phenylazo)-
L'jv3 p-Dimetnyiaminoazobenzene
1004 ',12-Dimethylbenz(aJanthracene
14
-------
EPA HAZARDOUS WASTE CODES
(Continued)
Code Waste description
Code Waste description
U094 Benz(a]anthracene, 7,12-dimethyi-
U09S [l,r-BiphenyiH,4'-diamine, 33'-dimethyi-
U09S 3,3'-Dimethylbenzidine
U096 aJpha,alpha-DimethyIbenzyihydroperoride
(R)
U096 Hydroperoxide, 1-methyl-l-phenylethyl-
(R)
U097 Carbamic chloride, dimethyl
U097 Dimethyicarbamoyi chloride
U098 1,1-Dimethyihydrazine
U098 Hydrazine, 1,1-dimethyl-
U099 1,2-Dimethyihydrazine
U099 Hydrazine, 1,2-dimethyl-
U101 2,4-Dimethylphenol
U101 Phenol, 2,4-dimethyl-
U102 1^2-Benzenedicarboxyiic acid, dimethyl
e&ter
U102 Dimethyl phthalate
U1Q3 Dimethyl suifate
U103 Sulfuric acid, dimethyl ester
U105 2,4-Dinitrotoluene
U105 Benzene, l-methyl-2,4-dinitro-
U106 2,6-Dinitrotoluene
U106 Benzene, 2-methyi-1.3-dinitro-
U107 1,2-Benzenedicarboxylk acid, dioctyi ester
U107 Di-n-ocfyi phthalite
U108 1,4-Dkthykacoxkk
uio8 1.1 niniMn
U109 1^-Dipheayttydrmziae
U109 Hydrazioe, 1,2-diphenyl-
U110 1-Propaniminf, N-propyi-(I)
U110 Dipropyiamine (I)
Ulll 1-Propanamine, N-nitroso-N-propyl-
Ulll Di-n-propyinitrosamioe
Ul 12 Acetic acid ethyl ester (I)
U112 Ethyl acetate (1)
U113 2-Propeaoic acid, ethyl ester (I)
U113 Ethyl acryiate (I)
LJ114 Carbajnodithioic acid, 1^-ethanediylbis-.
salts "&. esters
U114 Ethylenebisdithiocarbamic acid, salts &.
esters
U1LS Ethylene oxide (I,T)
U115 Orirane (I,T)
U116 2-Imidazolidinethione
U116 Ethylene thioure*
U117 Ethane, U'-oxybis-(I)
U117 Ethyl ether (I)
U118 2-Propenoic acid, 2-methyi-, ethyi ester
U118 Ethyl methaoyiate
U119 Ethyi methanesulfonate
U119 Methanesulfonic acid, ethyi ester
U120 Fluoranthene
U121 Methane, trichloronuoro-
U121 Trichloromonofluoromethane
U122 Formaldehyde
U123 Formic acid (C.T)
U124 Furan (I)
U124 Furfuraa (I)
U125 2-Furancarboxaldehyde (I)
U125 Furfural (I)
U126 GlycidyUldehyde
U126 Oxiranecarboxyaldehyde.
U127 Benzene, hexachkwc-
U127 Hexachlorobenzene
U128 13-Butadiene, 1,1^3,4,4-hexachioro-
U128 Hexachlorobutadiene
U129 Cyclohexane, lA3,4^,6-hexachloro-,
(lalpha, 2alpha, 3beu, 4alpha, 5alpha,
6beta)-
15
-------
EPA HAZARDOUS WASTE CODES
(Continued)
Code Waste description
Code Waste description
U129
U130
UL30
U131
U131
U132
U132
L'133
U134
U134
U135
U135
U136
U136
U07
UO8
U138
U140
U140
U141
U141
U142
U142
U 143
U143
U144
U144
U145
U 145
Lindane
13-Cydopenuaene, 1,2^,4,5,5-.
hexachioro-
Hexachtarocyc -cntadiene
Ethane, hexadu ro-
Hexachloroethac
Hexachlorophene
Phenol 2£'-meth--.. :bis(3,4,6-trichloro-
Hydrazine (R,T)
Hydrofluoric add (I.T)
Hydrogen fluoride (C,T)
Hydrogen sulfide
Hydrogen suifide H^
Arsinic add, dimethyi-
Cacodyiic add
Indeno(lA3-cd]pyrene
Methane, iodo-
Methyi iodide
1-Propaaol, 2-methyl- (I,T)
Isobutyl alcohol (I,T)
13-Benzodioxole, 5-(l-propenyI)-
IsosarroJe
13,4-Metheno-2H-cydobuta{cd]pentalen-
2-one,
decachiocooctahydro-
KepoM
2-BoteKMC acid, 2-methyi-, 7-{[2>
dihydro«y-2--2-
pyridiayi-N>-(2-diienylfflethyi)-
U155 Methapyritene
UL56 Carbonochloridic acid, methyl ester, (I.T)
UL56 Methyl chlorocarfoonate (I,T)
U157 3-Methylcholanthrene
U157 BenzQJaceanthrylene, l^-dihydro-3-
methyi-
U158 4,4'
-------
EPA HAZARDOUS WASTE CODES
(Continued)
Code Waste description
Code Waste description
U162
U162
U163
U163
U164
U164
U165
U166
U166
U167
U167
U168
U168
U169
U169
U170
U170
U171
U171
U172
U172
U173
U173
U174
U174
U176
U176
U177
U177
U178
U178
U179
U179
2-Propenoic acid, 2-methyl-, methyl ester
(IT)
Methyl methacrylate (I,T)
Guanidine, N-methyl-N"-nitro-N-nilroso-
MNNG
4(lH)-Pyrimidinone, 23-dihydro-6-
methyl-2-thiaxo-
Methylthiouracil
Naphthalene
1,4-Naphthalenedione
1,4-Naphthoquinone
1-Napthalenamine
alpha-NaphthylamLne
2-Napthalenamine
beta-Naphthylamine
Benzene, nitro-
Nitrobenzene (I,T)
p-Nitrophenol
Phenol, 4-nitro-
2-Nitropropane (1,7)
Propane, 2-nitro- (I,T)
1-Butanamine, N-butyi-N-nitroso-
N-Nitrosodi-n-butyiamiae
EthanoL, 2^2'-(nitrosoimino)bb-
Ethanamine, N-ethyi-N-nitroco-
N-NltrosodkthyUmiae
N-Nitroso-N-etayhire*
Urea, N-«thyi-N-nitro*o-
N-Nitroso-N-melhyiurea
Urea, N-methyl-N-nitroso-
Carbarn ic acid, methylnitroso-, ethyl ester
N-Nitroso-N-methylureihane
N-Nitrosopiperidine
Piperidine, 1-nitroso-
U180
U180
U181
U181
U182
U182
U183
U183
U184
U184
U185
U185
U186
U186
U187
U187
U188
U189
U189
U190
U190
U191
U191
U192
U192
U193
U193
U194
U194
U196
U197
U197
U200
N-Nitrosopyrrolidine
Pyrrolidine, l-nitro&o-
5-Nitro-o-toluidine
Benzenamine, 2-methyl-5-nitro
1^^-Trioxane, 2,4,6-thmethyi-
Par aldehyde
Benzene, pentachloro-
Peotachlorobenzene
Frh«n» pentachlofo-
Pentachloroe thane
Benzene, pentachlorooitro-
Penuchioronitrobenzene (PCNB)
14-Pentadieae (I)
1-Methylbutadiene (I)
Acetamide, N-(4-ethoxyphenyf)-
Ph<
Pheaot
Phosphorus sulfide (R)
Sulfur phosphide (R)
13-Isobenzorurandione
Phthalk anhydride
2-Picoline
Pyridine, 2-methyi>
Benzamide, 3t5-dichloro-N-(l,l-dimethyl-
2-propynyi)-
Pronamide
1^-OxathioIane, 2^2-diaxide
L3-Propane sultooe
1-Propaaamine (I,T)
n-Propyiamine (I.T)
Pyridine
24-Cyctohenidirne-lt4-
-------
EPA HAZARDOUS WASTE CODES
(Continued)
Code Waste description
Code Waste description
U200 Yohiraban- 16-carboxylic acid, 11,17-
dimethoxy-18-[(3,4,5-
trimethoxybenzoyl)oxy]-, methyl ester,
(Sbeta, 16beta. 17aipha, ISbeta, 20alpha)-
U201 13-Benzenediol
U201 Resorcinol
U202 l,2-Benzisochiazol-3(2H)-one, 1,1-dioride,
& salts
U202 Saccharin, & salts
U203 U-Benzodioxole, 5-(2-propenyl)-
U203 Safrole
U204 Selenious acid
U204 Selenium dioxide
U205 Selenium sulfide
U205 Selenium sulfide SeS2 (R,T)
U206 D-Glucose, 2-deoxy-2-
([(meihylnitrosoamino)-carbonyl]amino}-
U206 Glucopyranose. 2-deoxy-2-(3-methyl-3-
nitrosoureido)-,D-
U206 Streptozotocin
U207 1,2,4.5-Tetrachlorobenzene
U207 Benzene, 1,2,4,5-tetrachloro-
U208 l.l.U-Tetrachloroethafle
U208 Ethane, l.l.U-tetrachloro-
U209 UlA2-Tetrachloroethine
U209 Ethane, i,lA2-tetrachloro-
U:iO Ethene, tetrichloro-
U210 Tetracalgroethylene
U211 Carbon tetracnioride
U211 Methane, tetrachloro-
U213 Furan, tetrahydro-(I)
V213 Tetrahydrofuran (I)
U214 Acetic acid, ihallium(l+) salt
U214 * Thallium(I) acetate
U215 Carbonic acid, dithallium(l +) salt
U215 Thallium(I) carbonate
U216 Thallium chloride Tlcl
U216 Thallium(I) chloride
U217 Nitric acid, thallium(l •»•) salt
U217 Thallium(I) nitrate
U218 Ethanethioamide
U218 Thioacetamide
U219 Thiourea
U220 Benzene, methyi*
U220 Toluene
U221 Benzenediamine, ar-methyl-
U221 Toluenediamine
U222 Benzenamine, 2-methyi-, hydrochloride
U222 o-Toluidine hydrochloride
U223 Benzene, 1,3-diisocyanatomethyl- (R,T)
U223 Toluene diisocyanate (R,T)
U22S Bromofonn
U225 Methane, tribromo-
U226 Ethane, 1,1,1-trichloro-
U226 Methyl chloroform
U227 1,1,2-Trichloroethane
U227 Ethane, 1,1,2-trichloro-
U228 Ethene, trichloro-
U228 Trichloroethylene
U234 U4-Trinitrobenzene (R,T)
U234 Benzene, 1,34-trinitro-
U235 l-Propanol, 2>dibromo-, phosphate (3:1)
U235 Tris(2^,-dibromopropyi) phosphate
U236 2,7-Naphthalenedisulfonic add44'-[(3 Jf-
dimethyl[l,l'-biphenytH,4'.
diyl)bis(azo)bis{5-amino-4-hydroxy]->
tetrasodium salt
U236 Trypaablue
U237 2,4-(lH,3H)-Pyriinidinedione,5.{bis(2-
chloroethyl)amino|-
U237 Uracil mustard
13
-------
SOURCE CODES
Code
Waste source
Code
Waste source
CLEANING AND DECREASING
A01 Stripping
A02 Acid cleaning
A03 Caustic (Alkali) cleaning
A04 Flush rinsing
A05 Dip rinsing
A06 Spray rinsing
A07 Vapor degreasing
A08 Physical scraping and removal
A09 Clean out process equipment
A19 Other cleaning and degreasing
SURFACE PREPARATION AND FINISHING
A21 Painting
A22 Electroplating
A23 Elecuoless plating
A24 Phosphating
A25 Heat treating
A26 Pickling
A27 Etching
A29 Other surface coating/preparation
(Specify in Comments)
PROCESSES OTHER THAN SURFACE
PREPARATION
A31 Product rinsing
A32 Product filtering
A33 Product distillation
A34 Product solvent extraction
A35 By-product processing
A36 Spent catarytt removal
A37 Spent process liquids removal
A38 Tank stodge removal
A39 Slagrtaovai
A 40 Metal formiaf
A41 Plastics forming
A49 Other processes other than surface
preparation (Specify in Comments)
PRODUCTION OR SERVICE DERIVED ONE-
TIME AND INTERMITTENT
PROCESSES
A51 Leak collection
A53 Cleanup of spill residues
A54 Oil changes
A55 Filter/ Battery replacement
A36 Discontinue use of process equipment
AS7 Discarding off-spec material
A58 Discarding out-of-date products or
chemicals
A59 Other production-derived one-time and
intermittent processes
A60 Sludge removal
REMEDIATION DERIVED WASTE
A61 Supcrfund Remedial Action
A62 Super fund Emergency Response
A63 RCRA Corrective Action at solid waste
management unit
A64 RCRA closure of hazardous waste
management unit
A65 Underground storage tank cleanup
A69 Other remediation
POLLUTION CONTROL OR WASTE
TREATMENT PROCESSES
A71 Filtering/screening
A72 Metals recovery
A73 Solvents recovery
A74 Incineration/Thermal treatment
A 75 Wastewater treatment
A76 Sludge dewatering
A77 Stabilization
A78 Air pollution control devices.
A 79 Leachate collection
A39 Other pollution control or waste treatment
OTHER PROCESSES
A91 Clothing and personal protective
equipment
A92 Routine cleanup wastes (e.g., floor
sweepings)
A93 Closure of management unit(s) or
equipment other than by remediation
specified in codes A61 • A69
A 94 Laboratory wastes
A99 Other
19
-------
20
-------
FORM COOES
Code Waste description
Code Waste descriptioa
LAB PACKS
LAB PACKS • Lab packs of mixed wastes,
chemicals, lab wastes
B001 Lab packs of old chemicals only
B002 Lab packs of debris only
B003 Mixed lab packs
B004 Lab packs containing acute hazardous
wastes
B009 Other lab packs (Specify in Comments)
LIQUIDS
INORGANIC LIQUIDS - Waste that is primarily
~ inorganic and highly fluid (e.g., aqueous), with low
suspended inorganic solids and low organic content
Aqueous waste with low solvents
Aqueous waste with low other toxic
organics
Spent acid with metals
Spent acid without metals
Acidic aqueous waste
Caustic solution with metals but no
cyanides
Caustic solution with metals and cyanides
Caustic solution with cyanides but no
metal*
Spent caustic
Caustic aqueous waste
Aqueous waste with reactive suifides
Aqueous waste with other reactives (e.g.,
explosives)
Other aqueous waste with high dissolved
solids
Other aqueous waste with low dissolved
B101
B102
B 103
B 104
B105
B 106
B 107
B 103
B109
B110
Bill
B112
B113
Bl 14
BH5 Scrubber water
B116 Leachate
B117 Waste liquid mercury
B119 Other inorganic liquids (Specify in
Comments)
ORGANIC LIQUIDS - Waste that is .primarily
organic and is highly fluid, with low inorganic solids
content and low-to-moderate water content
8201 Concentrated solvent-water solution
B202 Halogenated (e.g., chlorinated) solvent
B203 Non-halogeoated solvent
B204 Halogenated/non-aalogenated solvent
mixture
B205 Oil-water emulsion or mixture
B206 Waste oil
B207 Concentrated aqueous solution of other
organics
B208 Concentrated phenolics
B209 Organic paint, ink, lacquer, or varnish
B210 Adhesives or epoxies
B211 Paint thinner or petroleum distillates
B212 Reactive or polymerizable organic liquid
B219 Other organic liquids (Specify in
Comments)
SOLIDS
INORGANIC SOLIDS • Waste that is primariiv
inorganic and solid, with low organic content ana
low-to-moderate water content; not pumpable
3 301 Soil contaminated with organics
B 502 Soil contaminated with inorganics only
3 303 Ash, slag, or other residue from
incineration of wastes
3 '-:~i Other "dry* ash, slag, or thermal residue
= ' : Dry* lime or metal hydroxide solids
chemically 'fixed'
21
-------
FORM CODES
(Continued)
Code Waste description
Code Waste description
B306 'Dry" lime or metal hydroxide solids not
•fixed'
B307 Metal scale, filings, or scrap
B308 Empty or crushed metal drums or
containers
B309 Batteries or battery parts, casings, cores
B310 Spent solid filters or adsorbents
B311 Asbestos solids and debris
B312 Metal-cyanide salts/chemicals
B313 Reactive cyanide salts/chemicals
B314 Reactive sulfide salts/chemicals
B3L5 Other reactive salts/chemicals
B316 Other metal salts/chemicals
B319 Other waste inorganic solids (Specify in
Comments)
ORGANIC SOLIDS • Waste that is primarily
organic and solid, with low-to-moderate inorganic
content and water content; not pumpable
B401 Halogenated pesticide solid
B402 Noo-halogenated pesticide solid
EW03 Solid resins or polymerized organics
B404 Spent carbon
B405 Reactive organic solid
B4Q6 Empcy Gber or plastic containers
B407 Other halogenated organic solids (Specify
in Comments)
B409 Other noo-halofenated organic solids
(Specify in Comments)
SLUDGES
INORGANIC SLUDGES • Waste (hat is primarily
inorganic, with moderate-to-high water content and
low organic content, and pumpable
B501 Lime sludge without metals
B502
B503
B504
BSOS
B507
B508
B509
B510
B511
B512
BSD
B514
B5L5
B516
B519
Lime sludge with metals/metal hydroxide
sludge
Wastewater treatment sludge with toxic
organics
Other wastewater treatment sludge
Untreated plating sludge without cyanides
Untreated plating sludge with cyanides
Other sludge with cyanides
Sludge with reactive sulfides
Sludge with other reactives
Degreasing sludge with metal scale or
filing*
Air pollution control device sludge (e.g.,
fly ash, wet scrubber sludge)
Sediment or lagoon dragout contaminated
with organics
Sediment or lagoon .dragout contaminated
with inorganics only
Prilling mud
Asbestos slurry or sludge
Chloride or other brine sludge
Other inorganic sludges (Specify in
Comments)
ORGANIC SLUDGES - Waste that is primarily
organic with low-to-moderate inorganic solids
content and water content, and pumpable
B601 Still bottoms of halogenated (e.g.,
chlorinated) solvents or other organic
liquids
8602 Still bottoms of non-halogenated solvents
or other organic liquids
B603 Oily sludge
8604 Organic paint or ink sludge
B605 Reactive or polymerizabk organics
B606 Resins, tan, or tarry sludge
8607 Biological treatment sludge
22
-------
FORM CODES
(Continuec
Code Waste description
Code Waste description
B608 Sewage or other untreated biological
sludge
B609 Other organic sludges (Specify in
Comments)
GASES
INORGANIC GASES • Waste that is primarily
inorganic with a tow organic content and is a gas at
atmospheric pressure
B701 Inorganic gases
ORGANIC GASES • Waste that is primarily
organic with low-to-moderate inorganic content
and is a gas at atmospheric pressure
BS01 Organic gases
23
-------
24
-------
SIC CODES
DC
Coo*
SC
AGRICULTURE
Aorncutn/iut »«too«cnot»-c*o»»
ASMCUtTUIUt. MOeUCTWM-UVUTOCK
3311 to
33-1 tt
33-1 •*
AOtHOJLTUIUU. UMVICn
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MINING
CONSTMUCnON
ao«f»
mi
3077 AlWMl •« KMTOT* IK M 0«
in
an
331
•41
•1
3391 KM
am
MnaMnt tana.'
MANUFACTURINO
301t
3013
3031 &•««••»••*•»
Net*: n*
net
e!au<
-------
SIC CODES
(Continued)
Gat*
Af**AML ANO OTMtN TVmU MOOUCTI
2333 U«n i me
2333 UOT t «n« My*
2329 U*n i VM koy*' TrmiKn
MMR AW AUJD MtOOUCTI
LfATMSM AMD LIATMCM MOOUCT1
Now: n«e • not
26
-------
SIC GOOES
(Continued)
SC
niemoHic AIM OTMCT tucrwe nui»«CMT
1*81
3M1
M73 W<
MMCO.
tPACrUHNQ MOMTMU
5491 Scrwi m«>«n« BRMu
3*32 Bern. nun. -NW*. wxi
140i Oan4ne»«n«
>*i 'nou«n* <•*•
MM eiwaao«»««
34*3 SN* t*>*tfL<
34*4 V.
iKOurmut.
3Sn TI
JSit Mvn
1SS »«m
sav
3031
AMD MUtKMMT
KjnMgvwmrMi
«••>«•«»*••.«•«
3933 Oi maai
1934 El •on <
JS36
3037
3941
>v«gww«man
IMS
MM
3904
1MB
197 1
J9TJ C
aarr c
an
We* • nir 11 -
3431 Mama *M 9*n««ei«
j«3(
3*tt
3lt4
»i»
3191
mr«r|
MM Canwwea Ufranf
II
imunts
•1 T,
•3 M
• a
iTVav
3«71
3173
3t7«
3t7S
3t7«
3T7
MK ^ivfwry o*mn«>. «y m« •
MM 6na«o mcrrra i
3711
371S Ta
3714
371* Tiua g»ri»1
J7H
3794
3TM
3731
37S1
37C1
37W
jrw
37» T.
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37» Ti
•ATWM fOWMMMT
•<••»<•*>• Mtrt
»evc«« «r« 04X1
•« M
.<•'«
MBTKUMOrr* AM MUTIO »«5OUCTt
n«c
27
-------
fill!
ii
I
i IP in
fffmg. {[HfiKfffHi!
i!! I *
mi \'
'|M i'
'"
miit
!|M
i
'
j
I'
111
(I
'It I
m
i!
f|fi[i
*
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i
"lih
i li ! !
m
1
if
I
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i I
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mmm
mn
\
i«
r«
I
-------
SIC COOES
(Continued)
SJC
UCUHTTT AMO COHtiOOm
SCRVtCCS
MOttui AMO o-raei USOOJNO
NOAM. M1MCU. AMO VAMCIMe O31 UMMi
Men. rv«e • not
d«**fi«d.
29
-------
SIC COOES
(Continued)
PUBUC AOMMBTRATON
OOCUnVt. LEOMUkTWI. AMD OIMIM1.
nMANCf.TAXAT10H.AM I
till
n«c • not
30
-------
ORIGIN CODES
Code
Origin Description
The hazardous waste stream was generated on site from a production process or
service activity (including off-specification or spent chemicals).
The hazardous waste stream was the result of a spill cleanup, equipment
decommissioning, or other remedial cleanup activity.
The hazardous waste stream was derived from the management of a non-hazardous
waste stream.
The hazardous waste stream was received from off site and was not recycled or
treated on site.
The hazardous waste stream was a residual from the on site treatment, disposal, or
recycling of previously existing hazardous waste stream.
31
-------
-------
APPENDIX 3
MATCHING PROCESS - WR/GM
-------
-------
APPENDIX 3: MATCHING PROCESS - WR/GM
This Appendix summarizes EPA's manual and automated merging of GM and WR Forms
data for source characterization of the wastes managed off site. As described in Chapter Z EPA
is using WR Form data to characterize the management of the wastes combusted off site, and
source data (i.e., SIC code of the process generating the waste, origin code, and source code) are
not listed on this form. Source data are needed to determine how wastes were generated and
identify waste minimization opportunities, and thus, it is important to link the WR forms to GM
forms as accurately as possible in order to promote waste minimization for wastes managed off
site.
EPA used both automated and manual techniques to merge WR data with corresponding
GM data. The automated mapping was done for both combusted and fuel-blended wastes1. The
manual merging was done only for the combusted wastes. The first step in the merging process
was the aggregation of data by routing information (i.e., generator and management facility CDs),
RCRA waste codes, management system type, and waste form codes; these information elements
are common to both GM and WR Forms. The merging was done in three stages:
1.
2.
3.
Initial automated "exact" merging;
Manual matching of data for the top SO wastestreams; and
Final automated "relaxed" merging.
These three steps are described below:
Step 1. Automated "Exact" Merging: The objective of the initial automated "exact" merge
was to obtain waste stream-specific source information from the data without making any
concessions in the matching criteria. This process resulted in a poor match of the common
information between GM and WR Forms. Only 9,696 records, contributing a volume of 82.719
tons of combusted and fuel-blended wastes (including 1,104 records of combusted wastes with
65.200 tons, or about two percent of off-site combusted waste quantity), were matched in this
stage.
Step 2. Manual Matching? Of the remaining non-match combustion records (25,257
records representing 1.1 million tons of combusted waste), the top 50 records accounted for about
40 percent of the total waste quantity. EPA used a manual process, as described in Attachment
1. to match the GM and WR forms' information. This process resulted in identifying source data
for an additional 33 records contributing a quantity of 220,102 tons, or about 25 percent of the
off-site combusted waste quantity. Moreover, this step provided some insight on how to set up
decision rules for the final step.
Step 3. Automated 'Relaxed' Merging: EPA aggregated the remaining non-matched
records (107,552 records contributing 3.9 million tons, or 91 percent, of combusted and fuel-
blended wastes) by routing information, RCRA waste codes, management system type, and waste
1 Fuel-blended wastes were later dropped from the analysis in order to focus on combusted
wastes.
-------
form grouping code (see Exhibit 1 of Attachment 1 for a list of the waste form groups). These
records were electronically mapped to the GM forms data using routing (i.e., generator sending
the waste and managing facility receiving waste are identical on the GM and WR forms) and
RCRA waste code information. Where there were perfect matches for routing and RCRA waste
code data, the source data were obtained from the GM Form. This process resulted in mapping
of 14,891 records contributing 593,699 tons of waste.
EPA aggregated the remaining non-matched records (88,375 records) to make a smaller
file for downloading into the PC environment. EPA's strategy for downloading was as follows:
• For records with quantities greater than or equal to 1 ton. keep all data as
reported; There are 36,744 records representing 3,367,719 tons in this
category.
• For records with volumes less than or equal to 1 ton. aggregate by
receiving facility ID, generator state (i.e., first two characters of the
generator ID), waste code(s), management system type, and waste form
group code (see Exhibit 1). This results in losing information on individual
generator ID and individual form codes. In this step, 51,631 records
collapsed to 22,957 records representing 18,089 tons.
Overall, for combusted and fuel-blended wastes, the aggregation and merging results are
as follows:
Waste Type
Combusted Wastes
Combusted and Fuel-
blended Wastes
With Source-
specific Information
Records
7,716
24,587
Tons
474,363
(40%)
896,520
(21%)
Without Source-
specific Information
Records
21,802
59,701
Tons
716,568
(60%)
3,385,808
(79%)
Total
Records
29,518
84,288
Tons
1,190,931.
4.282,328
Please note that due to non-reporting of data in the GM Forms, even for perfectly
matched records some of the source data could be missing. Thus, even after matching there are
only 462.203 tons of waste with SIC code information and 437,394 tons of waste with source code
information for off site combusted wastes.
-------
Attachment 1. Manual Matching of GM and YVR Forms for Selected Combusted Wastes
This attachment details the methodology and results of the manual matching done for
selected combusted waste streams identified in the WR Forms that could not be electronically
matched to the GM Forms. The primary objective of the matching process is to obtain source
data (i.e., source, origin and SIC codes) for routinely-generated wastes identified in the WR
Forms. The data obtained from the matching would be used in identifying and prioritizing the
sources of combusted hazardous wastes.
There are about 30,000 WR Form records for which source data could not be obtained by
automated "exact" matching and merging. The top 50 records from the non-matched WR Form
records contribute to about 42 percent of the non-matched waste quantity and the top 1,300
records contribute to about 76 percent of the total non-matched waste quantity. Hence, the
manual matching was done for the top 50 waste streams in order to address a significant
percentage of the unmatched quantity and to develop and unplement an automated programming
logic for establishing source data for most of the remaining non-match records.
The first step of the manual matching was to ascertain that the waste routing information
is accurate (i.e.. EPA IDs reported in GM and WR Forms are identical). If this condition could
not be fulfilled, it was assumed that the waste stream in the WR Form could not be matched to
the GM Form. After the routing information was verified, then the data in the WR and GM
Forms were assumed to be matched if they met at least two of the following three conditions:
(1) The waste form codes of the waste stream in the GM and WR Forms indicate
similar wastes. The groups of waste form codes that were considered to be similar
for this analysis are given in Exhibit 1.
(2) At least one of the RCRA hazardous waste codes of the waste stream as reported
in the GM Form is also reported in the WR Form.
(3) The quantity of the waste stream reported in the GM Form is within 25 percent of
the quantity reported in the WR Form.
Exhibit 2 presents the results of the manual matching. The analysis indicate that the
matches between the WR and GM Forms were often poor. After using the broad assumptions
outlined above. 33 of the 50 top non-matched WR Form wastes were matched. For these 33
waste streams, the summary findings are presented below:
• For 13 of the 33 waste streams:
the waste form codes were similar (based on Exhibit 1);
at least one of the EPA hazardous waste codes matched; and
the reported quantities were within 25 percent between the WR and GM
Form data.
• For 11 of the remaining 20 waste streams:
at least one of the EPA hazardous waste codes matched; and
the reported quantities were within 25 percent between the WR and GM
Form data;
-------
• For six of the remaining 9 waste streams:
the waste form codes were similar (based on Exhibit 1); and
at least one of the EPA hazardous waste codes matched between the WR
and GM Form data.
• For the remaining three waste streams:
the waste form codes were similar (based on Exhibit 1); and
the reported quantities were within 25 percent between the WR and GM
Form data.
For the 17 WR Form wastes that could not be matched, listed are some of the reasons
why the matching could not be done:
For four waste streams, the WR Form identified a generator ID that is not in the
BRS;
• For one waste stream, the WR Form identified a generator that had no GM
Forms;
• For seven waste stress, the GM Forms of the generators identified in the WR
Forms did not report snipping wastes to the receiver in 1991; and
• For five waste streams, though the GM Forms did report shipping some wastes to
the receiver, none of the waste streams could be matched since, for each of these
waste streams at least two of the three conditions outlined above were not fulfilled
between the WR and GM Forms.
Barring a few exact matches, one of the three common parameters (i.e., the RCRA
hazardous waste codes, the waste form codes, or the quantities) are different between the WR
and GM Forms for almost all of the manually matched waste streams. Even though the generator
may have a better knowledge of their waste streams, for the final analysis of combusted wastes the
information provided in the WR Forms on the three parameters will be used. This is because the
receiver would be expected to determine the exact properties (and quantity) of the waste prior to
treating the waste for several reasons including:
• to determine that right treatment system;
• to determine the exact price for treating the waste stream; and
• to avoid liability resulting from hot treating the waste to LDR standards.
Note that several of the waste streams that were matched will be deleted for the final
evaluation of combusted wastes. This is because the matching determined that these waste
streams are not routinely-generated wastes (i.e., source codes were A61-A69 or origin codes were
2 or 5).
-------
Exhibit 1: Groups of Form Codes That are Similar
The groups that were considered to be similar for the manual matching of the
metal-bearing combusted wastes are listed below:
• 1) B20x and B219
3) B201 and B203
5) B203 and B204
7) B301 and B401
2) B201 and B202
4) B202 and B204
6) B205 and B603
8) B40x and B409
Similarly, the groups of similar form codes can be expanded to include:
9) BOOx and B009
11) B103 and BIOS
13) B106 and B110
15) BIOS and B110
17) B205 and B206
18) B206 and B603
20) BSxxand B519
10) Bboc and B119
12) B104 and BIOS
14) B107 and B110
16) Bill and B112
18) B209 and B604
19) B3xx and B319
21) B60x and B609
For a more detailed explantion of codes, see Appendix 2.
-------
Exhibit 2: Top 50 Waste Streams in the WR Forms That Were Manually Matched to the CM Forms
DBS
-n» ',:
I
2
3'
4
5'
6
7'
8
1
10
II
12
13'
14
•na^M
I Receiver's
1 ID (WR/GH)
=cac=aMBaMK=;
IXD083472266
KSD03 12033 16
AR0981512270
PAD0023895S9
VA0042755082
HOD050232560
HOD054018288
ARD98I 5122/0
PMKW J«yS')9
AR098IS12270
IH0005081542
M00054018288
AR0981SI2270
KSD03I203318
1 Generator's
| ID (UR/I.H)
IXD05B265067
HI 098061 5298
HI 09806 15298
HJD002454544
VAD098443443
IN0980S90947
H 10000808824
1X0000742304
NJ0002 182897
LAD079464095
OHD0050S1826
IHD093219012
AR0981 057870
IN0000646943
••• ^-*— ••••^^^
(PA Ha/ Codes (WR)
0001 0016 0035 f003
0001 0005 0006 0007
0008 0016 0026 D035
F001 F002
0001 0004 0005 0006
0007
F003 F005
0001 0018 0043 FOOI
F002 F003 F004 F005
0001 F002 F003 F005
0001 foot F002 fOOS
0001 0005 0006 0007
1)1)08
F003 F005
0001 0004 OOOS 0006
0007
0001 0007 0008 0018
0001 0004 D007 0009
FOOI F002 F003 F004
FOOS K048
0001 OOQ5 0006 0007
0008
0001 0007 0008 0018
0022 D026 0027 0028
0033 0036
1 PA liar. Codes (GH)
0001 0002
0001 0035 0038 F003
FOOS
0001 FOOI F003 FOOS
f 002-9 fOI9 KOI 9
K030 K0b2 several U
codes
0001 0004 0005 0006
0007
0001 K048 K049 K051
FOOI F002 F003 F004
FOOS
oooi 0002 ooos-a
0018 0019 0022
FOOI -5 K0b2
Form Code
(UH)
-
B219
B204
B219
B204
6202
B204
B204
B219
B204
B204
6204
B407
B219
iyi T-TIII i r=i"--i-||r uSS
Form Code
f- ••• '-•• m - ••
8207
B203
B204
B203
B219
B20S
B204
8204
==— =
SIC Code
diH)
2669
7389
2869
7389
8999
2911
9999
9999
:===—=
Source
Code (OH)
A3S
A49
A89
A89
A99
A89
A99
A99
Origin
Code (GH)
5
5
1
S
^— •— ..^•^
S
1 —•«••_
4
Quantity (UR)
(bhmt tons)
16.916
.J48
21.086
20.632
15.510
11 420
10 929
10.863
in nl A
9,003
8.565
7.416
7.323
7.002
Quantity (GH)
(short tuiii) 1
45 800 |
^1
23.137
— •
1 19
10.692
9.061
6,494
7.113 1
6.641 I
-------
Exhibit 2: Top 50 Waste Streams in the WR Forms That Were Manually Matched to the CM Forms (continued)
• 1
DBS
it'
t&
1 7
16*
19
20
/l"
2i'
?1*
24
I2S
26
27
ZXCOBBBEHEKJCMC
Receiver's
10 (UR/GH1
PRD980S26I15
ADQ08I61234
IN007204034B
H00050232560
FLD000737312
ARD9815122/0
[MuOOS40l6?68
M00050232560
F 10004059085
ARD981512270
HOD050232560
MOOOS0232S60
KSD031203316
ztsssmmammmmt
Generator'*
ID (UR/GN)
PR098 11 82421
TXDOOB090409
IMD005460209
HOD029729688
GA0093380814
AAD98IOS/870
IN0984866S4I
U10000808824
FLD000737312
TX0046B44700
THD9912794BO
OKOOSB07B775
TX0000742304
EfA H«. Codes (WR)
F001 F002 F003 F005
OOOi 0026 F037 F038
0001 F003 F005
D001 0004 OOOS D006
ooo; DOOB 0009 0010
001 1 DOI6
F001 F002 F003 F005
0001 OOOS 0006 0007
0008
000 1 f003 F005
0001 F001 F002 F003
FOOS.
0001 F001 F002 F003
0001 0004 OOOS 0006
0007
D001 0007 0008 F001
F002 F003 FOOS
K04B K049 KOS1
DOOI 0004 OOOS 0006
D007 OOOB 0009 0010
0016 F001
EPA H« Codes (GH)
K048 K049
F008
DOOI 0004 0006 DOOB
0011 FOOI 4 U's
OOOI 0005-9 0026
0035 0040 FOOI -5
K027
0004-20 FOOI -3 FOOS
0001
K04B K049 KOS1
0002 0004 -B 0010
FOOI -B F019 K.P.U
codes
. -
Form Code
(WR)
B204
B205
B20I
B202
B204
B204
B204
B202
B204
B204
B202
B202
B219
Form Code
(U«)
B603
B203
B204
B219
B204
-
BS04
B207
===;:
SIC Code
(bH)
2911
2819
2869
9511
7389
9999
2911
7389
•
Source
Code (I.H)
A89
A49
A89
A99
A73
-
A75
AM
====?
Origin
Code (dH)
1
5
5
5
S
1
S
1
==EHHMiMH*
Quantity (WR)
(short tons)
6.953
6.785
6.774
6.591
6,442
6.346
6.06b
5.126
5.074
4.936
4,866
4.794
4.743
••••^•^HM^
Quantity (bH)
(short tons)
7.164
8.06S
640
5.2JO
5,180
4,904
5,018
194
-------
Exhibit 2: Top 50 Waste Streams in the WR Forms That Were Manually Matched to the CM Forms (continued)
-' u'vm
DBS
28
29
30
31*
\*)
33
J14
as"
36*
37
38
39
•••••Ma
40
41
Receiver's
10 (Wfi/GH)
LA09810S7706
IN0005081542
IND005081542
SC003627S626
HODOa0232560
•"-•^— •— ••— ••••^^ _
HODOS40I8288
1 AP008I6IP14
-XD0064SI090
iNnnn<>nNi<.i?
JXD981 153711
INDOOS081542
LA0981057706
————•••»•.•
AL 0981020894
OH0004304689
Generator's
ID (UR/GH)
ALD070513767
IN0980S90947
OH000427403I
NC0991 278276
I L 00669 1832 7
IIDOSmmi
IA0000812818
LADOS8S30S10
UnUUyj:M!>c93
1X0051161990
OHD005046511
1X0000742304
VA0065408692
UID059972935
•WBBM«nSSXB=
EPA Hu. Codes (VR)
0001 0004 0005 0006
0007 0008 0010 0011
0018 0035
0001 FOOI F002 F003
0005 0006 0008 FOOI
0001
0001 0018 003S FOOI
(002 fUOJ fOOS
DOOi FOO? F003 FOOS
0001 0035
0008
0001 OOOS 0006 0007
K051
0001 0018 K048 K049
1001 0005 0006 0007
0008 FOOI F002 F003
F004 F005
0001 F003 FOOS
0001 0005 0006 0007
0008 F003 F005
EPA Haz. Codes (GH)
0001 FOOI -3 FOOS
0001 FOOI -3 FOOS
DOOI 0005-8 0018
0035 0039 FOOI -3
FOOS
DOOI FOOI -3 FOOS
0001 FOOI -3 FOOS
DOOI 0035
K051
DOOI K048 K049 KOS1
0002 0004-6 0010
FOOI-8 F019 K.P.U
codes
— — — _^__^__
DOOI 0035 F003 FOOS
F003
-•.i.
Form Code
(UK)
B204
B204
B204
B403
B202
B204
• • ' i I,,..
B203
B204
B204
B206
B403
••-— ^— .. «•• „
Form Code
(CiH)
B204
B204
-
•™^^— ^— p— «.•_
B201
B204
B219
•^""^«— VIHM^
B603
B207
RJHQ
6602
•^•^•^—•^••^•.M
SIC Code
(GH)
2899
2869
•""1 mi Ill
4953
"•— »•— i— ^— »i
7389
4953
2869
9OI 1
701 1
7389
•••^^^^•••••^^
3053
2821
^•"^••—•—•••M
-
Source
Caile (UH)
A89
A89
— ^"^— ^» .^^-^
A19
4OQ
A-1C
-^— ^""^— «-^— n™,!^
"•*^«*««^»>*^.^_
A89
—^-^— •••^-M.— .•«
•^•••••^^-i— •«•«
A71
"^-"-^•" n..
A56
— •— ™^— ™^»_
A73
"•'
Origin
Cade (bH)
1
f.
5
^ -^ ..
1
^™™-^— •— *^— ««™
11 • ...
1
— «^— •— «^— ^»
1
•'• I' !..•
1
3
•"~^^"™«*^—™™
ii mmmmumm
Quantity (M)
4.531
,4il
4.348
4.320
4.313
4.297
<.OOI
3,844
3.775 I
3.687
3.669
3.518 1
1
.
3.465
3 410
1
1
1 Quint I ty (GH)
1 (short tonal
6.961
1 ' » in—
5.160
4.360
s.3ia
-•—•••"
4.24S
3.866
L-H
4.098
3.477 1
2.611
|
Ii
—•———. .^.^
I4_
. bbo
•" . ._
-------
Exhibit 2: Top 50 Waste Streams in the WR Forms That Were Manually Matched to the CM Forms (continued)
— — -
DBS
19
43
44
45
46*
47
4fl'
49'
50
_
Receiver's
mi\MII'M\
HOOOSO>>32S60
IND005081542
KSD03120331B
PAD002389S59
OHD981S95779
tf ADO/7942266
JND005081542
KS003 12033 18
ILD098642424
i ••••
Generator's
ID (UH/GN)
HDOOS4 76882
OH0980700942
LA0000618256
PA0064375470
OHD093945293
PA006437S470
OHD980681571
ARD981057870
NJ09B657B9S3
•••••••«
EPA Mar. Codes (WR)
K049
DOOi D002 0005 0006
0001 0005 0020 P004
POIO P01B P030 P041
P048 P050
F003 F005
DOOI 0006 D006 0007
1)008 0011 0022 0035
0039 (001
DOOI 0004 0005 0006
0007 DOIO 0011 001B
0019 0021
DOOI FOOI F003 F005
0001 0005 0006 0007
0008 0009 0019 FOOI
F002 F003
FOOI F002 U061
s==
EPA Ha/. Codes (GM)
K049
0001 D006-8 0018
0035 0039 0040
FOOI -3 F005
0007 P001 P004-5
POIO P01B U.F.K
codes
DOOI 0004 8 0010-11
FOOI 3 F005 organic
D codes
DOOi D004-B 0010-11
FOOI -3 F005 organic
0 codes
FOOI F002 U036 U061
UI29
1
Form Code
(WH)
8202
B204
B407
8219
B204
B204
B407
8301
ss
Form Code
(OH)
B603
6204
8609
B204
B204
8401
— —
SIC Code
(GM)
2911
4953
4953
4226
4226
4225
Source
Code (GH)
A75
-
A64
A89
A89
A66
======
Origin
Code (GH)
3
-
1
5
5
2
==••••••••1
Quantity (WR)
(short tons)
3.316
3.296
3.165
3.127
3,124
3,107
3.057
2,999
2,900
••••••••iii • i
Quantity (dH)
(thort Ions)
3.409
2.3/7
3.344
2.722
3.029
1.869
Waste streams that could not be matched.
-------
-------
APPENDIX 4
DOCUMENTS USED AS SOURCES OF CONCENTRATION DATA
-------
-------
APPENDIX 4: SOURCES OF INFORMATION ON CONCENTRATIONS OF LISTED
WASTES
"Regulatory Impact Analysis of Restrictions on Land Disposal of Certain Solvent
wastes," Office of Solid Waste, U.S. EPA, November 1986. Exhibit A-15 was used:
this exhibit provides summarized information for all F001-F005 wastes that were
incinerated in 1983.
"Regulatory Impact Analysis of the Land Disposal Restrictions for Third Third
Scheduled Wastes, Final Rule," Office of Solid Waste, U.S. EPA, April 25, 1990
Listing Background Document for Petroleum Refining Wastes, August 15. 1988.
This source only provides summarized information for the industry' and does not
provide waste-stream specific data; it was used for identifying constituents.
Best Demonstrated Available Technology (BDAT) Background Documents.
These included:
BDAT Background
BDAT Background
BDAT Background
BDAT Background
BDAT Background
BDAT Background
(Final), August 15,
BDAT Background
BDAT Background
BDAT Background
BDAT Background
Document for F001-F005 wastes (Final), June 15, 1989
Document for F024 wastes (Final), May 15, 1989
Document for F037/F038 wastes (Final), June 30, 1992
Document for K002 wastes (Final), May 8, 1990
Document for K013 wastes (Final), June 15, 1989
Document for KOI6, KOI8, KOI9, and K020 wastes.
1988
Document for K022 wastes (Final), August 15. 1990
Document for K028 wastes (Final), May 25, 1989
Document for K083 wastes (Final), May 8, 1990
Document for P063 wastes (Final), June 15, 1989
"Estimates of Waste Generation by the Organic Chemical Industry," Final Draft
Report, U.S. EPA, December 7, 1987. This source was developed for the TC
LDR RIA. It provides summarized information for the industry and does not
provide waste-stream specific data.
"Regulatory Impact Analysis: Proposed Standards for the Management of Used
Oil.' Office of Solid Waste, U.S. EPA. July 1985.
-------
-------
APPENDIX 5
RETRIEVAL FROM GENSUR
-------
-------
APPENDIX 5: RETRIEVAL FROM GENSUR
For each waste stream combination, the four key attributes (i.e., RCRA code, SIC code,
source code, and form code) were used to match the BRS information to corresponding waste
streams in the Generator Survey (GENSUR). The constituent and concentration information for
these matched GENSUR waste streams were assumed to be appropriate for the BRS waste
stream combination. The following presentation details the procedure and assumptions used for
matching the information.
First, an attempt was made to exactly match all four elements of the unique BRS
combination with corresponding GENSUR combinations. Exhibit 1 provides the correlation for
matching the form codes in the BRS to the waste description codes in the GENSUR. Exhibit 2
provides the correlation for matching the source codes in the BRS to the source codes in the
GENSUR.
For those combinations for which an exact match could not be found in the GENSUR,
the following assumptions were used (in descending order) for matching the four elements. If the
usage of an assumption resulted in more than one GENSUR match for a particular BRS waste
stream combination then the constituent information was averaged across all the matches for that
combination.
1) The RCRA codes exactly match and the BRS form code exactly matches the GENSUR
waste description.
2) The RCRA codes exactly match and one or more of the other three elements exactly
match.
3) 50 percent or more of the RCRA codes match and the form code exactly matches.
4) 50 percent or more of the RCRA codes match and one or more of the other elements
exactly match.
5) The RCRA codes exactly match.
6) One or more of the RCRA codes match and the form code exactly matches.
7) Any three of the matching elements exactly match.
8) Any two of the matching elements exactly match.
The median of the constituent concentration range given in GENSUR was used as the
concentration for a given constituent (e.g., a concentration range of 6 in the GENSUR would
translate to an estimated concentration of 50,000 ppm). These medians were used for averaging
the concentrations of a given constituent across the waste streams in which the constituent occurs.
Concentrations were weighted by quantities of all waste streams (i.e., final concentration was
estimated by assuming that all the matched waste streams are mixed together).
-------
Exhibit L- Font Codes for Top 200 Unique BRS
BRS Form Codes
B101
B102
BIOS
B110
Bill
B114
B201
B202
B203
B204
B205
B206
B207
B208
B211
B212
B219
B301
B401
B403
B405
B407
B409
B503
B601
B602
B603
B606
B494, B597, B, blanks
Generator Survey - Waste
Description Codes
B01
B02
B05
BIO
Bll
314
B58
B59
B60
B61
B62
B63
B64
B65
B68
B69
B70
B36
B80
BS2
B84
BS9
B90
B21
B71
B72
B73
B76
B99
-------
Exhibit 2: Source Codes for Top 200 Unique BRS Combinations
BRS Source Codes
A09
A19
A31
A32
A33
A34
A35
A361
A3?1
A49
A541
A56
A57
A601
A71
A73
A74
A75
AS9
A92
A99
Generator Survey • Source Codes
S60
S03, S07, S12
S44
S40
S28
S27
S20
S15, S16, S26, S31-38, S48
S13-S16, S23, S25, S26, S3Q-S39,
S41, S42, S45, S48
S13-S16, S23, S25, S26, S29-S39,
S41, S42, S45, S48
S78
S61
S49
S16, S25, S41, S45, S48
S67
S74
S72
S73
S66, S69, S70, S71, S77
S60, S62, S78
S78
1 There is a greazter degree of uncertainty in these code translations. Please use these translations with a
lesser degree of confidence as compared to the other code translations.
-------
-------
APPENDIX 6
WASTE CHARACTERIZATIONS FOR TOP 150 ROUTINELY GENERATED
COMBUSTED WASTE STREAM COMBINATIONS
EPA reviewed the composition of the ISO largest-quantity wastestream combinations to
identify the top 100 containing metals and/or halogenated organics. The following table provides the
following information:
• each of the attributes that define a wastestream combination (i.e., RCRA code, SIC
code, BRS source codes, BRS form code), and a check mark beside each that played
a critical role in EP A's characterization of waste composition;
• the number of wastestreams comprising the combination;
• the number of facilities generating the wastestream combination;
• the constituents and concentrations present;
• the source of information for the characterization of constituents;
• a key noting the type of constituents present
- "0" denotes that neither metals nor halogenated organics are present
- "1" denotes the presence of metals
- "2" denotes the presence of halogenated organics
- "3* denotes the presence of both metals and halogenated organics;
principal assumptions used in interpreting the data sources and assigning
concentration*.
The infiacBUtion in this appendix is subject to a number of important caveats and limitations,
as described in Qttpcer 2 of the accompanying report.
-------
-------
e•-e• -e
0 —3 '3 O 3
- &. C 3 —
r. » » i
o — — — «••. — — e oo o o o oo o
rr.~ TTo ~~ e (i"i»iwiB"ii>i»'Ooeeooeeo
£°,2-S2£l.S2^Sr>S~SS§g§oi§§oi§g§§§§i
. • -*• > »
3 O 3 < •* ••
9 • •» * • C *
• -toe
t* i* -n ^ » IT 3
3- 3" C - (C •
— o
-------
Appendix 6
Top 150 Routinely Generated Combusted Hastes: Constituent and Concentration Listing (continued)
RAW.
5
*
7
a
9
4
'
^
- —
RCRA Mil. coj.
—
^^^^••••••^•^••••^•••^^Mi
000 1 0002 DOOJ 0018
0023 0024 D025 D026
0002
0001 0018 0035 FOOJ
0001 0002 0003 F002
020 F024 KOI 7 K018
1020 K028
I
••*
'
V
===
SIC
Cod*
««••
2869
2869
2869
2821
M
'
'
assess
Sour<**
M^HMM
A 32
A37
A57
A37
1
'
'
'
4
==
lira
••BMM
BUG
B207
B219
B219
pl^
•
84.191
64,265
62,350
54.912
48.039
•^"•— — p.
WS
450
2
4
1
2
n
-*
••••
450
1
3
1
1
=T== =
1 Comtltu.nl. Cone
*
Kyl.n*
Tolu.n*
1. I.l-Tr 1 thloro.lh.n.
T.tr. rhloroithyl.il*
IrUhtorotrl fluoroathtne
N.phth.l.n.
Irlchloro. thyl.n.
Olchlorodlf luorom.th.n.
B«nlo(.)pyren*
Art.nlc
Barium
Cadmium
Chromium
Zinc
Cr.lolt
Hydrochloric .eld
Hydrogen tulfld*
Acrylic .eld
lutyl .cryl.t*
H*thyl *thyl k.ton* |
I, 1-Dlchloroathene
,2-Dlchloro.th.n.
1 . 1 ,2-Trlch loro.th.n*
r.nt 1.2-dlchloro.th.n.
.1.1.2-Tetr.chloroeth.ne
. 1.2. 2- T.tr. ch loro.th.n.
. 1. 1-Trlch loro.th.n.
Inyl chlorld*
olu*n*
l*th.nol
.tr.chlorob.ni.n.
2, 4. 5- Trlchloroph.no!
.3,7.8-
•tr.ehlorodlb.n/o(p)dlo«(n
ydrochlorlc .eld
ydrog.n tulfld.
J.30
3.10
1.20
1.10
901
80
60
so
25
2
1
6
3
90
650
2.000
100
500
500
50.000
50.000
200,000
100.000
50.000
50.000
50.000
50,000
50.000
50,000
50.000
SO.OOO
SO. 000
so.ooo
SO.OOO
l.OOO
1.000
10
500
500
Ul.d OH HIA
Ui.d
Ui.d
Ul.d
lU.d
ll«.d
IlKd
Ui.d
lli.d
llt.d
llt.d
U».d
Ut.d
llt.d
Ui.d
Ut.d
Ut.«d
OH RIA
OH RIA
OH RIA
OH RIA
OH RIA
OH RIA
OH RIA
Ol 1 RIA
OH HIA
OH HIA
OH RIA
Oil RIA
Oil RIA
OH RIA
OH RIA
Oil RIA
RCRA cod.t
RCRA cod.t
Non.
Non.
BRS CAS numb.rt
BRS CAS numb.rt
KRA watt. cad.
RCRA wttt. cod.
BOAT
BOAI
BDAI
IOAI
BOAT
IDA!
IDAI
IOAI
'DAT
BDAI
BDAI
OAT
DAI
OAT
on.
on*
B.ck. Doc.
B.ck. Doc.
Doc.
Doc
Doc.
Doc.
Ooc.
Doc.
B.ck. Doc
B.ck. Ooc
B.ck.
B.ck.
B«ck,
B«ck.
B.ck.
Back.
B.ck.
B.ck.
B.ck.
Doc.
Doc.
Ooc.
B.ck. Doc.
All lonitItu.nlt .nd concentration! ».t.
ubt.ln.d (mm l«l)1. V 38. "Mean
Com.nti «l loni of Pot.ntl.11y N.x.rdout
(unit Itu.nlt In Ui.d OH Burn.d .t On
ip.ilflc.ltun fu.l." In th* ut.d oil RIA
CIOOI ch.i.i t.rltt U .vtum.d from b.n/.n.
• nd hydrog.n tulfld. t..t .dd.d to cov.r
OOOI ch.rait.rlttIc- fonc.ntr.tlont for
b.nz.n. .nd cr.tolt .1. 200 tlm«» th.
r.gul.tory lav.lt- Hydrog.n tulfld.
coni-.ntrat ion x.t b.t.d on propot.d tPA
guld.lln.t. Hydrochloric .eld .dd.d to
conttltu.ntt to account for OO02
charact.rlttlc. Conc.nlr.tIon of HCI b.t.d
on . pH of 2 to t.tltfy 0002
ch.r.ct.rItt Ic .
• — —^
0002 ch.,.et.rlttlc .ttu
-------
Appendix 6
Top 150 Routinely Generated Combusted Wastes: Constituent and Concentration Listing (continued)
RANKI
10
i I'
11
12
11
14
_
S
^
/
;
i
======
HCHA M*t« cod.
======
018 0038
001 O002
002
DOOI 0018 0015 fOOS
000 1 0002 O007
s
£c
••
1C
>4»
•MM*
M9
286*
2879
/B6<
2869
So
C
S
-
uri*
•d.
==
J4
A))
A IS
*)•>
Ail
re
t<
~
/
i
t
^
n~m
tttm
••MM
102
201
B101
B2O»
B602
!!»!• _' 1 —
Qu.ntltyl
..
44.977
40.001
37.447
16.916
16.709
3
i
•
i
•
i
Z{
i
i
i
i
=======^-> — i—
Con.tUu.lit. Com:, (pf-) I Con.t llu.nt
| Sourc.
===== ii '
yrldln. l.OOO
(Jnmonl. |00
.nr.n. 2SO
olu.n. 260
y.nld. 50
H.th.nol 100.000
Hydrochloric .eld 500
Hathyl .c.l.t. 10.000
Mathyl.n. chlorld. 12.000
B.ni.n. 200.000
H.thyl .thyl k.ton* 100.000
Kyl.n. 10.00U
Ac. ton. SO. 001
Ethyl tc.t.t. 50.00O
Ethylb.ni.n. 25.000
Ethyl .th.r 25.00O
M«tfiyl liobutyl k.ton. 2S.OOO
n-*ut.nol 50.000
Cyctoh.n.non. 40,000
H*th.no1 40.000
Chroxlux 1 .000
Tolu.n. 50.000
Dylan* 50.001
L..d 5
C.dmlun 0
Hydrochloric .eld 500
Hi CAS niimh.1 >
RS < AS numh.i »
RS (AS numh.rt
C HIA B.. t
L HIA B«< I
BRS tAS numb.rl
IRS CAS numb.rt
Non.
BUS LAS numb.r
RCRA H.sto cod.
RCRA M»t« cod.
So v.ntt 10R RIA
So «nt> LOR RIA
So nti LOR RIA
So nt. LOR HIA
So nt* IOR RIA
So nt. IDR RIA
Sol nil tOR RIA
Sol ntt IDR RIA
Sol nt. LOH RIA
G.K. Surv.y
G«n. Surv.y
G.n. Surv.y
G«n. Surv.y
Non.
•y
•BM
0
o
2
0
1
A..«MV>* * on »
ontlltu«»l il.t* t.k.n froK T.bl. 1 at
CttlUMt.t uf W.tt. G*n.r.tlon by In.
irg.nlc Ch.mlc.l Induttry" of th. 1C IC>«
IIA B.iVaioxnd Docum.nl «num(na x.«l.~«t«r
H.I d.rlv.d from lh. production of pyrldln.
OOI8). Hyi Idln. cont .ntr.t Ion ».» .liumad
jud9«m.nt . II
POOl ch.r.tt.rUt Ic .»unwd from M.th.nol II
«nd [100? ch.r.ct.rltt Ic .t.um.d from II
hydrochloric .eld. H.thyl .c.t.t. M.t II
add.d tine. th. BRS ««»!• d.tcrlptlon II
Concentration of HCI b.t.d on . pH of 2 to
i.tltfy O002 ch.r.ct.rltt Ic.. .
AtiMMd F002 cod. M.» du. to m.thyl.n.
chlorld. .Ion.. Cone. nt r.t Ion for m.th.nol
•i.t obt.ln.d from th. (i.n.c.tot Surv.y.
Attumptlon ut.d for th. (i*n.r.tor Survay
m.tch: RCRA cod. • .nd fan. cod*.
DOOI ch.r.ct.rlttlc .ttunxd from 'b.ni.n.
.nd n.thyl .thyl k.ton. Av.r.g.
conc.ntr.t loni of b.n/.n. .nd m.thyl .thyl
k.ton. x.r. obt.ln.d from th. Solv.ntt 10«
RIA. All con.t.ltu.ntt (.nd cone. ntr.t loni)
lltt.d und.r F001 In th. Solv.nl. LOR RIA
w.r. Included In this t.bl*. Sine. th.
solution of oth.r org.ntcs. conc.ntr.t loni
w.r. b.s.d on judy.rn.nt .nd th.lr r.l.tlv.
proportions «t glv.n In th. Solv.nl. IDR
RIA.
b. ZOO I lm.% lh. r.gul.lory l.v.l.
Hydrochloric .eld .dd.d to con. tttu.nt. to
account for DOO2 ch.r.ct.r l«t le .
Concentration of HCI b.t.d on . pH of 2 to
t.ll.fy D002 ch.r.cl.r 1.1 1C. Only
conitltu.nt. occurring In mor. th.n 1)
only RCNA rod. (.t r.port.d In lh.
G.n. i .tor Surv.y) w.r. Included to .ccounl
for th. DOOI ch.r.et.r Utlc . for th.t.
convtltu.nl> th. iMdl.n cone. ntr.t loni of
lh. w.ftt.t In th. 6«n.r.tor Surv.y w.r.
u..d.
P.g. 1
-------
Appendix 6
Top 150 Routinely Generated Combusted Hastes: Constituent and Concentration Listing (continued)
RAN*
m^mm^m
IS
17
la
19
_
(K«A uetta cad*
•*•_
1
t
i
i
———_==
(1001 IIOU2 lOO I (UUi
»nia H094
O001
D001 D005 0006 0007
0008 0016 0026 DO 35
F001 F002
F002 F005
DO01 0002 000 3
.
J
/
i
^
i
SIC
Co*.
•••VJM
2«7
2869
2834
287»
MM
^
^
iource
Cm4m
•MMM
A37
A13
A37
A37
••I
/
V
/
t
i
^=s^=
lur.
lode
^••^
BIO)
B2I9
B/IS
B101
B102
Quantity
•
J5.U6
32.779
11. J48
28,640
27.247
-•^-e-— •——•••_.
IA
18
1
1
1
]Z
17
1
1
1
1 .
C«i>tllu*iit> C«c. c*ton« ]n
M«th«nol j
ic»tyl chlorld* 50 000
thy)«n* dlchlorld* S.OOO
)lchloroprop*n* 200
hlorofon* ?nn
H*thyl chlorld* 30
•rbon t«tr*chlorld* 30
•tr*chloro«th*n* JQ
I*thy1*n* chlorld* 30
• Unlum 30
ydrochlorlc acid 500
BRS CAS numb., >
BRS fAS numl>*r>
FOni F005 Back
Oor.
F001 F005 Bach
Doc.
FOOI-FOOS Bach
Ooc.
Ml 38 BDA! Ooc.
K03B BOAI Doc.
K038 BOAI Ooc.
K03B BDAF Ooc.
Non*
BRS CAS numL.rt
BHS CAS numbiri
BRS CAS numb*ri
RCRA watt* cod*
RCRA watt* cod*
RCHA watt* cod*
RCRA watt* coda
RCRA watt* cod*
DCRA Matt* coda
RCRA Matt* coda
Solv ntl LOR RIA
Solv ntt LDR RIA
Solv ntl LOR RIA
Solv ntt LOR RIA
Solv ntt IOR RIA
Solv ntl LOR RIA
Solv ntt LOR RIA
BRS CAS nimbari
BRS CAS nunbart
BRS CAS numbart
BRS CAS numb*i t
BRS CAS numbart
i*n. Survay
* . Survey
* . Survay
* . Surv*y
e . Survey
e . Surv*y
* . Survey
* . Surv*y
e . Survey
o *
Tre7
It^lM
t
0
3
2
3
lAlaueptlont I
P001 and DOU2 codet ataunwd fro* K038
tontt Ituantl. P094 It phorat. which ti on* 1
of the ion»t Ituentt of kojS. Average 1
conrantrat lont of conttltuentl In tpant 1
tolvantt from production of cyclic eitert I
and photphoroamldothloat* are tiled for fOOJ I
and roOS Concentration for nwthylene 1
chlorld* M*I bated on judgenent
Mydrochloi tc acid added to conttltuentl to
account for D002 character lit 1c .
Conrantrat Ion of HC1 bated on a pH of 2 to
tatlify D002 charactartttlc.
Concentiallont Mere adjutted to that total
concentration of conitltu*nt> Mat
approximately 10 p.rcant by M*laht for
aquaout liquid!
0001 ch.r.ct.rlit Ic *ttum*d du* to th*
organic.. Concentration! for1 organlct from
the Generator Survay. Attumptlon uled for
0001 character title attumad to be due to II
the organic, denoted by the 0 codet II
Concentratlani of conttltuentl Indicated by
the 0 codet Mere attuned to b* 200 tliaei
the regulatory leveli All conitltuenti
Included In th* LDR RIA for F001 and F002
Mare added. Since the form code Indicate.
untpectfled organic liquid., concentration.
Mere baled on Judgement and thatr relative
proportion! at given In the Solvent. LDR
F002 and FOOS codei Mere aiiumad to be due
nlSI? r1 lBdU«*«« "X «"• BRS CAS
b^atd 1' 1C°nc«"*'-«««on for «yl.ne ... II
o?n!? r J"??~"n«- Concentration! for
other con.tttuenti obtained from the II
Generator Survey. Aiiw.pl Ion uled for the
Generator Survey «.tch: ficRA cod*, and form 11
onttltuent Information u.ed for Matte IJ
ln *ne Generator Survev Mlth the II
CRA code. 0001-0003 and th^SIC cod. MIS
c7d"niS S*:t1Ci<" '"duel.). Hydrochloric
eld added to conitttuenti to account for
«L "l:r'"lc- Concentration of HCI
a.ed on a pH of 2 to tatlify 0002
S'r««rUtlc Concentration. ».r.
o^.i? *f ""' tot" "ncentr.tlon of
v «. oh?°i' "" •PPr''"»'«««>y 10 percent
y "eight for aqueout liquid.
Page 4
-------
Appendix 6
Top 150 Routinely Generated Combusted Mastes: Constituent and Concentration Listing (continued)
IV MK
20
21
12
23
HI HA watt* cod*
I
1
1
^
0001 DO IB (in 19 00 J»
F024
0001 F002 F003 FOOS
0001 0002 DOOJ OOIB
00?»
OOO 1
SIC
Cod.
1
2M»
2B33
.'HI,*
Sourc*
Corf*
/
AM
A3S
A 11
f orw
Cod*
I
i
B202
B101
lrl»
quantity
26.708
26 . 284
2V»«'
25.371
1
Wi
1
1
223
1
fat
1
1
I
178
Conat ttuanta Cone, (ppa)
1,1,2 Irlchloro*thane 3.OUO
1. ,2,2 tetreihloroathana 500
H« >chloro 1,3 butadiene bOO
Be z*n* 60
1 ,2-Dlchloroethana 30,000
1 , l-Dlchloroathane IS, 000
Hanachloroathan* IS. OOO
J -Chlor oprop«n* 9,000
Tr*n« 1 , 3-dlchloroprop«n« 9,000
1 ,2-Dlchloroprop«n« 7,000
2-Chloro 1.3-but.dl.n. 4,000
CU 1 . 3-dlchloroprop«n« S.OOO
M«th»nol 30. OOO
Acaton* 30.000
lolucna 20,000
H*thyl«K« chloride IS. 000
B.ni.n. 100, OOO
Crooli 40, OOO
Hydrog«n »ulf(J« SOO
Hydrochloric *cld SOO
Ethanol SO, OOO
Eplchlorohydr In SO. OOO
\ .2-Dtchloropropan« 10,000
1 ,2. 3-Trlchloroprop«n« 10,000
Bit (2-ch1oro«thyl) «th«r 10,000
Contt ltu«nt
Sourc*
BHS (AS numl.«n
8HS CAS numb.ri
BNS CAS umb.i i
HfHA c d
RCHA c J
RCHA c d
BOAT B Doc
BOAI B . Doc.
BOAI B . Cloc
BOAI B . Doc.
BOAI B Doc .
BOAI B . Ooc .
BDAI B . Doc .
BDA1 8 . Doc .
BRS CAS umber t
BRS CAS umb.rl
BRS CAS umb.rt
BRS CAS numb.ri
RCRA cod..
RCRA cod.l
Nona
Non*
KOI 7 lilting
K017 Hltlng
KOI 7 llttlng
K.y
2
2
O
2
AtftUBjfit Ions
U.t.iJ on th. BNS d.tcrlptlon. th. M»t. -•>
•ttum.d to b« UO p*rc*nt mlxmd heavy «nd»
chloilnat.il hydrocarbon* . Th* remaining 10
p*rc*nt comptltad of tonic* *r* ll.tad
untreated F024. The concent rat Ion* Mara
adjuttad &o that th* total organic
numb«rt> . Con»t 1 tu*nt concantr.it Ion
ubtalnvd from th« G*n«r«tor Surv«y and war*
i ont 1 1 tuant t> M«I appron Imatal y 1O parcant
by Malght for aqu«ou.> 1 fqutdt . A»»umpt Ion •-
utad for th* Ganarator Survay match. RCflA
codat and SIC cud* .
and hydrogan tulfld* wai add ad to covar
hydrogan tulflda w**s ba»*d on proposad EPA
yuldal In* ft . Hydrochloric ac Id addad to
on a pH of 2 to katttfy 0002
charactarl »t Ic .
8at*d on th* BRS «aita daicr (pt 1 on . tha
and* from tha purification column In tha
U lUtad *
-------
I
Appendix 6
Top 150 Routinely Generated Corabusted Mastes: Constituent and Concentration Listing (continued)
RANK
•MWMB
4
L
•
JK.KA Mtt* Co*.
•^.^^^^^^^^.^^^^^^
'UO I (H1U4 D00t> LHJ06
dOO)
c
1
SIC
2M»
S«urctt
All
=
foim
(oda
0606
B204
—
QuMt Ityl f 1 «
21. 281
22.251
J
1
1
Cmttltu.nta tone, (pp.) J C.ntt Itu.nt 1 K*y 1 A.tuJTt lont
ISourc* 1 1
I'hanol 3.001
Acanaphtha Ian. 10.001
Acanaphthana 10,001
Anthracana I0.00(
Dlphanvl amlna 10,000
Fluortnthana 10,000
Naphthalana 10,001
Ithylbaniana S.00(
Acatophanona 4,00(
Acatona 2.50C
Anil In. 100
Styrana is
Toluene |(
Xyl.n. 15
Fluor. na ]
Ant loony o.Ol
Art.nlc i
Barium O.Ol
Barylllum 0.01
Cadnlun O.I
Chromium 0.2
Copp.r Q 01
l«.d oifll
Harcury 0.01
Ntchal o.l
Salanlum 0.01
SHvar 0.01
I h a 1 ) 1 um 0.01
Vanadium o 001
Zinc oi
Barium 20.000
Artanlc 1.000
Chromium 1.000
Cadmium 200
Toluana 50.000
Kyi ana 50,000
taad 1.000
BHS ( A'i numbar
Gan.. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Sur ay
Gan. Sui ay
Gan . Sur ay
Gan . Sur ay
Gan. Sur ay
Gan. Sur ay
Gan . Sur ay
Gan. Survay
Gan, Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan . Survay
Gan . Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan . Survay
Gan . Survay
Gan. Survay
HCHA codas
RCRA codas
RCRA codat
RCRA codas
San. Survay
Gan. Survay
Gan. Survay
i
1
1 onianti at lont of all conttltu.ntt i..t«
obtaln*tl f f om th* G*n*rator Survay.
Attunpl lun ut*d for th. Gan.rator Survay
matth. RlHA cod.t and SIC cod..
( ont ant rat tont of tha organlct Mar.
adjutt.d to aciount for th. fon. cod. that
Indlcat.t organic tludgat.
It wat attunwd that thlt watt, ttr.am
combination It a mlxtur* of OO01 «att*t and
other M.tt.t. Only conttltu.ntt occurring
«lth D001 at th. only RCRA cod. (I/*""*
r.port.d In th. Gan.r.tor Surv.y) «.r.
Included to account for th* 0001
charact.rlttl For that, conttltu.ntt th.
median concan ratlont of th. M.ttat In tha
G.n.r.tor Sur .y w.r. „..„. Conc.nt rat Ion,
,la T , 7* •,"•"•"" to "• 200 tlma. th.
regulatory 1. ,|,. Atlum.d that no
halog.n.tad o ganlc contt Ituantt «.r.
roSI*? H!" !" * "*•*• '"nough th. form
haloa.nft.2 ! P°'«nt'«' pr.t.nc. of
naiog.n.t.d o ganlca.
Pag* 6
-------
Appendix 6
Top 150 Routinely Generated Combusted Wastes: Constituent and Concentration Listing (continued)
RAW 1
1
26
21
28
4
1
^
—
HCBA •>••(• code
>0«8
('001 0002 D003 11008
H018 D021 0024 002S
D026
OO01
S
c<
••••
1C
xt*
•••••
.'869
2869
S>
1
••••
1
:im
BbOJ
B219
B203
Qu.ntlty|
19.996
18.826
' 18.774
71
•
2
11
f
1
1
11
~
Const Ituent • tone . (MM")
Kytene SO
Naphthalene ?*<>
Anthr eiane °
]henanthr*ne SO
Benz
Me r c u r y 0 «.'
Nickel 15
Selenium 1
Silver 0.5
Thallium 0.5
Vanadium 25
Zinc 50
Cresols SO. OOO
Benzena 50. OOO
Lead 1.000
Hydrogen sulfld* 500
Hydrochloric acid 500
Hathanol 500,000
Toluene SO,OOC
fiutanol 125. OOC
Propanol 50,000
Horphollne SO, 000
(.onst Ituent
Sourt e
jen , Sut vey
jen . Survey
ten . Sur vey
ien . Survey
Gen. Survey
Gen. Survey
Gen. Survey
[ien . Sur vey
[jen . Survey
Gen . Sui vey
Gen. Survey
Gen. Survey
Gen . Sui vey
Gen . Sur vey
Gen . Survey
Gen . Survey
Gen. Survey
Gen. Survey
Gen . Survey
Gen . Survey
Gen . Sur vey
Gen . Sui vey
Gen . Sur vey
Gen . Survey
Gen. Survey
Gen . Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen . Survey
RCRA watte code
R( HA Watte code
RCRA waste cod*
Nona
None
BRS CAS numbers
BRS CAS numbers
BRS waste date.
BRS waste desc.
BRS wast* desc.
K.y
1
1
0
Attump*. i»n uted for the Generator Survey
ntatth. Ri HA codes, SlC cod*, and source
i oda .
D001 character 1st tc at turned due to benzen*
Hydrogen tut fide Included to account for
guide! Ine . Hydrochlor Ic ac Id added to
on a pH o 2 to satisfy OO02
assumed t be ZOO times the regulatory
Concentrations for the other constituents
were obtained from the Generator Survey -
Astumptlon used for the Generator Survey
P>9« 7
-------
Appendix 6
Top 150 Routinely Generated Combusted Hastes: Constituent and Concentration Listing (continued)
RAMC
30
!.•
13
/
;
RCRA Ma.t* coda
0001 O001 DO 18 P06J
00 IB 0038 K022 KOS3
C
/
SIC
»4*
2M4
2869
MH
2865
5
/
>«urc«
Corf.
A37
A35
Ali
Ail
A .
1
I
^
4
i
/
UIW
p»)
Malh.nol 25.000
Acatona 25,000
Hathylan. chlorlda 8,000
Mathyl Itobulyl katona 4,000
n-fiut.nol - 1 ,500
Toluana 30,000
Mathyl athyl kalona 2,000
Baniana 750
8«ni«n» IflO.OOO
Hydrocyinlc «ctd ' 100
M«thylana chlorld* 7S.OOO
H*thanol 10,000
Ac (ton* loioOO
Toluttn* 30.000
Mtthanol 50.000
Pyrldln* 1,000
B«ni«n« |o
Ac«tonh«non* 250.000
Ph*nol 50,000
Anllln* 10
D1ph«nyUmln* ]o
Nitrob«nl«n« 10
Nickel o.l
Conlt ltu«n(
Sourc*
BHS CAV numl,.r
BHS CAS numb.r
BOS CAS number
BHS CAS numb«r
BRS CAS numbir
Gftn . Survey
G«n. Sur vay
G»n . Survey
RCRA wttt* cod*
NCRA M»t< cod*
BNS CAS numl,«rt
BRS CAS numL.ri
BRS CAS numb.ti
BRS CAS nutnb«n
BRS CA'S numb.ri
RCRA watt* cod*
RCRA H«>t* cod*
K022 b«c . doc.
K022 b.c . doc.
K083 b.c . doc.
K083 b.c . doc.
K083 b.c . doc.
KO83 b.c . doc.
K.y
2
a
2
0
I
AftsuBpt tons
0001. FUU2. >nd FOO3 cod.i .r* .nun.J from
ofg.nUt InJIc.t.d by th* IRS CAS niunbiri.
B.nz.n.. ni.lhyl .thyl k.ton.. and tolu.n*
m*r» obtiln.d from th. G.n.r.tor Survey and
ui.d to .xount for fOOS cod*.
fonc.ntr.l lon» of all conttltuantt war*
obt.lnad from tha Ganarator Survay.
Attumptlun u»ad for th* Ganarator Survay
( oniantrat 1on» nara adjuitad to that total
concantrat Ion of contt 1 tuantt M.«
appro»lmat*ly 10 parcant by Matght for
DO01 characteristic assumad dua to baniana
and 0003 ch.r.ct.rl it Ic .itum.d dua to
hydrocyanic acid obtalnad fro* P063
background documant. Banian* concantrat Ion
organic. Inillcatad by tha BRS CAS numbarl.
Concantrat lont Mara obt.lnad from tha
Uanarator Suruay and adjuttad so that total
appronlm.taly 10 parcant by Malght for
.qu*ou> liquids. Astumptlon us*d for th*
Indlt.t.d by th* CAS numbars.
Concantrat Ions «ara obt.lnad from th*
Concantrat Ion of baniana and KO22
const Ituants obtalnad from KO22 BOAT
Slnll9round doc""«'>t; conc.ntr.t Ion. for
K083 const Ituants obtalnad from K083 BOA1
background docuaiant ; Pyrldlna concantrat Ion
assumad to ba 200 tlmas tha ragulatorv
laval. NonM*st*M.t*r form Has a.sumad
basad on dascrlptlons of K022 and K083
P.ga 8
-------
Appendix 6
Top 150 Routinely Generated Combusted Hastes: Constituent and Concentration Listing (continued)
1,1 II
HAM(I RCRA >M>t« cod. I Sll.
1 1 Cod«
1 1
•••••MM
34
K
it
•••
/
1
i
,
foot loos
0001 0038 F002 F003
ROOI 0002 DO07
i
2634
2869
=====
Sourc*
C
-------
Appendix 6
Top 150 Routinely Generated Combusted Hastes: Constituent and Concentration Listing (continued)
J8
L
1)001 D002
DOOI DO 18 0043 FOOI
F002 F003 F004 FOOS
I
«4e
281*
taurce
1
A37
aim
rode
B2I9
B204
Ouentlty
15.997
IS. 509
*
vr>
l
l
>ac
1
1
Canal Ituantt Cone, (ppm)
_ . .
^^•^^^^^^••^••^"••••^••••••••^••^^•••••••^•i^™
Hethenol 50, QUO
Methyl Uobutyl ketone 30,001
Acrylonl t r 1 le 30.001
Acetone 30,001
Benzene 30,001
Cyc loheK.none 30,00(
(thy) acetate 30,001
Cthyl ether 30,000
Cthylene dlchlorlde 30,001
Benzal chloride 1,500
Aniline 1,50(
Banzo trichloride lisoi
Formaldehyde 30(
Hen. chloiocyclop.nl. dl.n. 10
1,4-01. thy len. o«lde 25
Phenol 1.500
latrachloroathylana 1.500
toluene 1,500
Antimony 0.02
Artenlc 0.0]
Barium <
Beryllium o 002
Cadmium o oi
Chromium 0.0!
Copper jj
Lead j
Mercury o 01
Nickel 5
Selenium Q.04
Sliver o oi
Iha Ilium ' 2
Hydrochloric acid 500
Vinyl chloride 400
Cretolt 100,000
Nitrobenzene 100,000
letr.chloroethylene 50,000
Irlchloroethylene 50,000
Methylena chloride 50,000
I.l.l-Trlchtoroethan* 50.000
Carbon tat rechlor Ide 40,000
Chlorobenzena 5O.OOO
1 ,2-Olchlorobanzene 40.000
rrlchlorof luoromethane SO 000
Kytene 30.000
teat one SO, 000
Ethyl acetate 50,000
ithylbeni.ne 25 000
tthyl ether 25.000
Methyl Uobutyl ketone 25.000
n-Butanol 50,000
:yclohe»enone 40,000
Hethanol 40 000
tontt lluant
Source
••MBHMMnM^^^
dan Sur vay
Gen Survey
Gen Survey
dan Survay
den. Survey
den.. Survey
den. Survey
Gen . Sur vay
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
den. Survay
Gen. Survay
Gan. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen . Survey
Gen. Survey
Gen • vey
RCRA watte code
RCRA Matte code
Solvent! LOR RIA
Solventt LOR RIA
Sol vent t LOR RIA
Solvent! LOR RIA
Solvent! LOR RIA
Solvantt LOR RIA
Solvantt LOR RIA
Solvantt LOR RIA
Solvantt LOR RIA
Solvanti LOR RIA
Solvent! LOR HIA
Solvanti LOR RIA
Solvent! LOR RIA
Solvanti LOR RIA
Solvent! LOR HIA
Solvent! IOR HIA
Solvent! LOR RIA
Solvent! IIIH RIA
Solvent! IOR HIA
Key
••*»•
1
2
1 Ataiaapt lonm
UOUI th.i alter lit Ic enumed dua to tha
organlit Hydrothlor Ic acid added to
contl 1 tuent t o account for O002
iherectai itl 1 . Concentration of HI 1 bai.tl
un a pll uf 2 o tetUfy D002
iheracterUtl . At lump 1 Ion uted for the
deneretor Sur ey match: RCRA codet end form
code .
DOOI cherecterlttlc end FOOS code turned
due to benzene. All contt Ituent . eluded
tor b'.nz.'nV.nVv'ln' '"c'" C""C'" "'°"*
to b.*20on?lml!, thl!Vr.gu!^orJ 7Iv """"*
Since the form coda Indicate! a to ant
?K.I"V """"'•'•tloni Mara edjut d to
thet total concentration would be
approntmately 1.000.000 ppm.
••
Pag* 10
-------
Appendix 6
Top 150 Routinely Generated Combusted Hastes: Constituent and Concentration Listing (continued)
i — r
HANK!
iiBBEMBei
)•)
4O
41
42
43
4
^
^
t
t
RCRA Meate cod*
)OUI (024
DO IB K022
D001 rOOl F002 fO03
FOOS U001 U002 UOO)
U019 U028
UO01 0002 000) DO 18
1)026 DO35 F002 F003
F004 F005
D002
S
C
MM
1C
Mle
•••••i
2819
2821
2869
2869
283J
S.
=
L>UICC> 1
Cede
iMBBBlnMll
A33
A33
AJ]
A)3 .
A34
1
1
/
/
/
i
L>ulfld* 500
Hydrochloric 4cld 500
Sulfurlc .eld 500
Con»t Hu«nt
Sovrc*
BUS CAS numb«ri
BHS CAS number v
BHS CAS numb*i t
G*n . Survey
F024 BOAT Doc .
F024 BUA1 Dot .
BRS CAS numb.rl
BOAT Bock. Doc.
eOAl Back. Doc.
HLNA * * cod*
R< RA • • cod*
RCRA • • cod*
RCRA • • cod*
RCRA * * cod*
So • t IOR HIA
So • t IDH NIA
So *nt LDH RIA
So *nt LOR RIA
So *nt IDR NIA
So *nt IDR RIA
So *nt IDR RIA
So *nt LOR RIA
RCNA »*«t* cod*
NCftA M«tt* cod**
RCRA M*tt* cod*
Solv*nt> LDN RIA
Solvent! LDR RIA
Solventi LDR RIA
Solvent! IDR RIA
Solventi IDR RIA
Solvent! LDR NIA
Solvent! LDN RIA
None
None
BRS CAS Humbert
Key
2
0
2
2
0
A!»ieef»t ton»
• oni eiiti »t loni for 1 . 3-dlchloropropy len«
end 1.2.1 tt Ichloropr open* Mere obtained
from the (>enei*tor Survey. Acetone and
document tu account for the 0001
other constituent! ir* from the F024
Batkijiound Document, and ar* th* nldpolntt
.x.h conttltuant. Anumptlon uled for lh«
cod* .
Ac*toph*none and phenol concentration! ixei a
obtained from the K022 Background Document.
and are the midpoint! of the ponlble
cone entret Ion range for the!e con!t 1 t uent » ,
Judgement. The concentration! of the
phenolic! Mere edjuited !lnce the furm cod*
Indicate! a concentrated phenolic liquid
con!tltuent! Included In the Solvent! LDR
RIA for F001 and F002 Mere edded
Concentret ton! for ell con!tltuent! Mere
ba!ed on Judgement.
organic!, FOO) *!!umed due to methyl ethyl
F005 a!tumed due to benzene. Hydrochloric
acid added to conitltuent! to eccount for
0002 characterlat 1c . Concentret Ion of HC 1
cheracter l!t Ic . Hydrogen lulflde Ma! addati
to account for OOO3 characteristic The
concentration for hydrogen !ulflde Ma!
ba!ed on propo!ed EPA guideline*. All
conitltuentl Included In the Solventi ION
RIA for F002 Mere added. Concent rat loni
judgment.
pH of 2 to aetlify O002 character lit Ic .
Page II
-------
Appendix 6
Top 150 Routinely Generated Combusted Hastes: Constituent and Concentration Listing (continued)
RAMK
44
45
46
48
/
/
/
^
RLRA waat* cod*
uooi ooou
D001 D002 D003 0004
ooos Dooe ooo; oooa
0009 0010
1017 HOI9 (C020
D001 fOOi
SIC
CMU
^
1
2621
2869
2869
2869
2833
Source
Co4a
;
A33
A33
A33
A 35
A33
run
Cod*
J
^
i
i
^
B602
BIOS
B601
B219
B203
Quantity
I3.J95
13.182
13.073
12.842
11.772
/
WS
1
1
1
6
2
1
lac
1
1
6
2
Const Ituanti Cone, (pp»)
Mathyl malhacrylata 90.0UU
Immd 4.000
Artanlc 5
Barium 0.5
Cadmium 5
Chromium 5
l««d 05
Marcury 0.05
Salanlum 0.5
Toluana 50.000
Xyl.n. SO. 000
Hydrochloric «cld 500
Hydrogan lulflda 500
Cthylana dlchlorlda 5.0.000
1.1.2-Trlchloroathana 50,000
Tatrachloroathylana 50.000
Tatrachloroathana 50.000
Irlchloroathy lana 5,000
Kathanol 900.000
Uobutanol 50.000
Ac*ton« 750
n-6utanol 50
Hcthyl «thyl k«ton« 50
Arianlc 0.05
Barium 0.05
lead 0.5
Chromium 0.5
Cadmium 0.05
Harcury 0.0'S
Salanlum o.S
Sllv«r o.S
Ac«tona 200,000
Hathanol 150,000
Const Ituant
Sourc*
BRS (AS numb.i >
RLRA w«it« luda
R( HA Hiita oda
RCRA Matt* oda
HCRA Malta oda
RCHA Matta oda
RCRA Malta oda
RCRA Malta oda
RCRA Malta oda
Gan .. Sur vay
Gan . Survay
Nona
Nona
(jan . Survay
(jan . Survay
Gan. Survay
Gan . Sur vay
Gan. Survay
Gan. Survay
Gan. Survay
Gan . Survay
Gan. Survay
Gan . Survay
Gan . Sur vay
Gan. Survay
Gan . Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan . Survay
Gan. Survay
BRS CAS numtaari
BRS CAS numban
K.y
1
1
2
1
0
Aaaunpl Ions
Illllll ch«r •< lar lit It anumad fron avathyl
mathaci ylala Mai obtalnad froai tha
Indlcatail an unraa 1 1 it lea 1 ly high
and form cuda
Only conitltuantt occurring In laora than 3J
only RCRA coda (ai raportad In tha
for lha 0001 charactarl it Ic. For tha
01-9. nlci tha madtan concantrat loni of tha
xaitat In tha Ganarator Survay Mara utad.
Hydrochloric acid addad to conitltuanti to
account for 0002 charact ar 1 it Ic and
hydrogan lulflda addad to account for 0003
charactar lit Ic. Concantrat Ion of HC 1 batad
on a pH of 2 to latlify 0002
lulflda Mara baiad on propoiad tPA
obtalnad from tha Uanaiator Survay.
Aiiumptlon uiad for tha Ganarator Survay
match: RfRA codal
At lump It on mad for tha Ganarator Survay
match: RCRA codai and form coda.
Concantrat loni for athylana dlchlorlda and
1. 1.2-trtchloroathana Mara adjuitad ilnca
tha Ganarator Survay Indtcatad
unraalltttcally high contantrat loni
Attumptlon uiad for tha danarator Survay
match: anact match on a H data alamantt.
OOOI tharactarUI u and fOO3 coda Mara
tha BRS CAS numbara. Conitltuant
Survay. Attumptlon uiad for tha Oanarltor
12
-------
Appendix 6
Top 150 Routinely Generated Combusted Wastes: Constituent and Concentration Listing (continued)
RANK)
«9
iO
51
52
Si
1
1
1
4
t
. , : : _ _
:
IKHA Matte code
li 02;
000]
000 1 DO02 F003
DOOI F001 F002 FOOS
1)001 OO05 0006 D007
SIL 1 Source
Code | Coale
^
28*!.
2869
2834
7 389
A33
A37
A3)
AB9
1 a,m
(ode
«•
V
V
/
/
8409
6201
B101
B204
B204
Quant Ity
11,123
11.114
10.976
10.929
10.883
f
US
1
4
1
2
1
«
tec
I
3
1
2
1
tonmtltuenlt Cone, ).n. bl i (2 -chloro.nl II K»00
M.thyl.n. chlorld. 10.000
Hathyl «thyl k«ton. 10,000
t.tr.chloro.thyl.n. 50.000
1,1 ,2-lrlchloro.th.n. 75.000
trlchloro«thyl«n. 35.000
Xyl«n« 2O.OOO
Barium 20.000
Cadmium 200
Chromium 1.000
Lead 1.000
Hathyl tthyt k«ton« 50.000
Mathyl liobutyl k.tona 50,000
n-Butanol 50.000
Xylan* 50.000
Con«t lluanl
Sourrtt
d*n Sui vay
,>an Surway
^an . Sui way
<»an . Sui vay
ban . Sui way
Gan. Survay
BUS CAS numbart
BUS CAS numbai l
BHS CAS numb. i i
BRS CAS numbai >
8RS CAS numbart
BRS CAS numbart
BNS watta date.
BRS xatt* date.
BRS w.ila date.
BRS wait* date.
Gan. Survay
Gan. Surv«y
Gan. Survay
Gan. Survey
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
RCRA Malta coda
RCRA Ma>t« coda
RCRA Matt* coda
RCRA Matt* coda
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Kay
3
0
0
2
1
Atkunpl Ion*
Avvumpt Ion u»ad «or the Generator Survay
n.tch: HI HA codai. Concentration* for th.
organlti «•• e adjutted to account for the
form code that Indicate* organic lolldt
Attyllc .eld .nurn.d to account for DOOI
theracterlit Ic Concentration of lulfurlc
acid bated on a pH of 3 tinea thlt Matte
ttream combination doet not enhtblt the
0002 cheractarlttlc. Concentret lont of
0001 cheracterl tic ettumed due to the
organlct. O002 haractar 1 it tc attumed due
to acetic ecld nd HC 1 . and FOO3 coda
attumed due to ethanol. Conttltuent
concentret lont ere beted on judgement.
Concentret lont f acetic acid and HC 1 bated
on e pH of 2 to tetltfy DO 02
charat t er 1 it Ic .
oryentct. Attumut Ion -uted for the
lieneietor Survey match: RCHA codet.
Conttltuentt from the Generetor Sui vey th.t
could eccount for the DOOI character It t It.
Mai e added. Concent ret lont for metalt Mere
Attumed that no helogenatad organic
t-ontt 1 1 uentt Mere pretent In thlt Mette
although the form code Indlcetet the
potent lei pretence of helogeneted organl4t
Page 13
-------
Appendix 6
Top 150 Routinely Generated Combusted Hastes: Constituent and Concentration Listing (continued)
HAN*
•••tBWM
54
41
57
__
'
'
t
IHUA x.tl. cod.
I
MI^V
•UOI tail! IUOJ fOOi
DO IB F037 F038 K048
K049 KOSO K051
I SIC
[ Cxi*
'
01 a. th.
only RCHA cod* (•> raport.d In th*
Jh.°£oorV:y) "•" '«'«-2- K account
th* 0001 characteristic. For them.
Pag* 14
-------
Appendix 6
Top 150 Routinely Generated Combusted Hastes: Constituent and Concentration Listing (continued)
^
MM
58
59
60
61
'
'
t
t
•
9CRA Meste t-odo
T7~ =
022
looi noil ooia 0021
)022
O001 F003 F005
0001 0007 0008 0018
s
c<
1C
>de
=E
2*65
38*1
2911
S<
(
mm
»urce
ode
1
A'3
A49
AB9
1
(
•••
1
t
^
»na
•da
^^^•M
8204
B204
B204
Quantity
I^MMVMMM
9.432
9,390
8.747
8.564
Tf
2
15
1
Zf
1
1
15
1
Con.tltuanta Cone, (ppmi) 1
Ac. Ion. 50.000
Phenol 50,000
Artanlc 5
Cadmium 0 5
[hrotntum 0.5
H.th.nol IbO.OOO
Acetone 150,000
[oluana 150,000
Kyi ana 150,000
Methyl. n. chloride 150,000
Chlorob.nzena 20,000
Chloroform 20,000
lenzane 20,000
Sliver 1.000
Acetone' 100, OOO
Methyl ethyl k.ton. 100,000
toluene 10.0, OOO
Acetonltrlle 10,000
Beniene 25, OOO
n-Butenol 3. OOO
Chloroform 10.000
Cyclohemnone 3.000
Dtchlorobeniene 10.000
Cthyl ether 40. OOO
Malhanol 65, OOO
Methyl chloroform 3,000
Mathylena chloride 60,000
Methyl liobutyl k.ton. 50,000
Pyrldlne 4,000
Styrene 3. OOO
Tetrachloroathylene 6,000
Trlchtoroathylene 6,500
Xylene 50,000
Antimony O.OS
Araenlc 1
Barium 40
Beryllium O.OOS
Cadmium 10
Chromium 3.00C
Copper 50
Lead 3.000
Mercury O.I
Nickel 1
Selenium 3. OOO
Stiver 0.1
Thallium 0.05
Vanadium O.OS
Zinc 100
Benzene 50,001
Chromium 1 .OOC
Lead l.OOO
..!.-, I..I.I — —.III.-.- . .1 -
Const Ituent
Source
IRS wast e desc .
>an. Survey
•an. Survey
>en . Sur vey
Gen. Survey
JHS CAS number
BRS CAS number
BRS CAS number
BRS CAS number
BHS CAS number
RCRA waste cod
RCRA waste tod
HCHA waste cod
RCRA watte cod
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen . Sui vey
Gen . Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gdn. Survey
Gen. Survey
GeA. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
RCRA watte code
RCRA wet te code
RCRA Matte code
Key
1
3
3
1
g
Attumpt lont
oncentratlon for acetone wet beted on
judgement Concent rat loft* for the other
constituents were obtained from the
General 01 Survey. Attumptlon used for the
Generator Survey match: RCRA cod* t end form
code .
0001 char aiterltt 1c attuned due to
organ Its Concentration for tllver was
atsumed to be 200 times the regulatory
level. Concentret Ion for the other
const It uents Mere based on Judgement with
the consideration that the BRS watte
description Indicated that the wette Is a
bulk tolvenl watte from chemtcel
menu f ac tur 1 ng .
D001 characteristic assumed due to
organic t . At tump t ton uted for the
code .
OO01 characteristic at turned due to benxena
assumed to be 200 times the regulatory
watte although the form code Indicates th«
Page 15
-------
Appendix 6
Top 150 Routinely Generated Combusted Hastes: Constituent and Concentration Listing (continued)
1)001 thai ai tai lit Ic anumad dua to
1)001 0002 tOOi fOOS
0001
0004 F002 F005
879
A3;
A09
B207
8.326
8.2/4
B.001
7.954
Vinyl ihluiId*
Irlchloroathylana
Tatrachloruathylana
Baniana
Carbon tatrachlorIda
Chlorofoim
1.2-Dlchloroathana
ItlO.OO
100.00
100,00
100.00
100.001
ino.ooi
100.001
H.thanol
Acatona
Ethyl.n. glycol
Toluana
Hydrochloric acid
Mathanol
AcataIdahyda
Vinyl acatata
ftylana
Hathyl aMthacrylau
1.4-Olathylana oxlda
Hydrochloric acid
Chromium
Coppar
Nlckal
Catocarbamata
'oluana
lylana
Artanlc
25.000
25.000
25,000
10,000
soo
5.000
5,000
s.ooo
s.ooo
5.000
1OO.OOO
3.100
300
10
60
25,000
25.000
S.OOO
200
BRS (AS numhai i
BBS CAS numhai»
BRS IAS numbai1
RCRA Malta coda
RrRA Matla coda
RCRA watta coda
RCHA Malta coda
BRS CAS numb.rv
BRS CAS numbai t
BRS CAS numhan
BRS CAS numbai>
Nona
BRS CAS numbar
BRS CAS numbar
BRS CAS numbai
BRS CAS nuMbar
BRS CAS nunbar
«an. Surway
Third Third IDB
R1A
Third Third LOR
RIA
Third Third LOR
RIA
Third Third IOR
RIA
IRS CAS numbar i
BUS CAS numbar»
IRS CAS numbar»
NCRA waata coda
organic* Conttltuant concantrattont Mai a
batati on judgamant. For thl. wait, ttia.m
combination, tha com ant ratlont Mara not
anum.d to ba 200 tlm.t tha ragulatory
l.v.l. tln
-------
Appendix 6 «.- ,1%
Top 150 Routinely Generated Combusted Wastes: Constituent and Concentration Listing (continued)
RANK
••••BM
b!
68
69
•*•*•
'
J
1
RCRA Maata, coda 1
000 1 0005 0006 D007
0008
0001 D002 000 J OOla
0021 0023 0024 0025
D026 0035
S
r<
mm
1C
Mta
=Z=
3221
S.
1
ses
==
aurca
III i'
AS4
t
•Ml
-------
Appendix 6
fop 150 Routinely Generated Combusted Wastes: Constituent and Concentration Listing (continued)
9UMK
72
Uunj
I jDUOl O007
I 0022 D02S
IOO33 0036
F005
it. cud. SIC tourc. fun. Quantity
I C*4« 1 C.4* I tot Itu.nt
ISourc*
li.n
li
li
ti.n
ti
G.n
G
G.n
G.n
Gan
G.n
G.n
G.n
G.n
G.n
G.n
G.n
Gan
G.n
(>.n
G.n
G.n.
Gan.
G.n.
• n.
Gan.
Ca.n.
[>.n.
G.n.
j.n.
Gan.
Non.
r>. Sui vay
l . Survay
1 . Sut v«y
i . Sui vay
i. Survey
i . Sut vay
i. Survay
t . Sur vay
i. Survay
i. Survay
i. Survay
i. Survay
. Survay
i Survay
. Sut vay
. Sui vay
. Survay
. Survay
. Sui vay
. Sur vay
. Sui vay
. Sui vay
. Sui vay
. Sui vay
. Sui vay
. Survay
. Survay
. Survay
. Survay
. Survay
. Survay
. Survay
. Survay
. Survay
a
•'
* Masta coda
I Matta coda
I wait a coda
* watta coda
I Matta coda
I Matta coda
I watt a coda
* Matta coda
t Malta coda
i Matta coda
t Matta coda
'antt LOR RIA
'•ntt LDR RIA
•ntt LDR RIA
•ntt LDR RIA
antt LOR RIA
•ntt LDR RIA
•ntt LOR RIA
•ntt IDR RIA
•ntt tOR RIA
• i i
•V
3
0
Atiumptton ulad for th* Ganarator Survay
matih. HI HA c.od.1 and form cod*.
Hydrochloric «iId addad to conltltuanti to
account for OOOi Chiract.rlitIc.
Com.nti alIon of HC1 bai.d on • pH of 2 to
i.tlify 0002 charactarlitlc.
0001 char attar title attumad dua to
org.nlci Concant rat I onl for matali
...u».d to b. 200 ,1™. ,h. r.
u ,
l*v«l. Conc.ntratloni for organic! «.
bai.d on Judj*».nt. organic! Ma
P*9* IB
-------
Appendix 6
Top 150 Routinely Generated Combusted Hastes: Constituent and Concentration Listing (continued)
RAMKI
73
74
•M
V
t
HM^,^,^MIM,^^M^^^»Si=.
001 F002 rOOJ fOOS
0001 0002
-
SIC
Coda
mm
i
==
2869
•
Source
Coda
ssas
4
.:.
A37
i
form
Code
MB
'
••••••
8204
6207
=====
Quantity
' '
6.975
6.834
1
WS
P^B
4
1
i
t-ac
-- - -
BOW**!
4
1
~
Con.tltuant. Cone, (pp-)
MHM|M|B^MHMH^MMHH^^M^H^^HMHMM^^^MH^^^*W
rlchloroethylene 100. OOO
etrechloroethylana 90. OOO
tylane 75.000
Hethylene chloride 65, OOO
Hethenol SO. OOO
Hethyl chloroform 35. OOO
H*thyl .thy! kelone 20.000
Toluene 20. OOO
1,1.2-Trlchloroath.na 15. OOO
Irlchlorofluoromethane 35.000
Ac .ton. 35.000
Chloroform 15.000
Cycloh.K.none 10, OOO
n-Butanol 5. OOO
Hathyl Itobutyl katone 5. OOO
Phenol 1.000
Ethyl acetate 4.500
Ethylb.nzene 4.500
Ethylen. fllycol nonoethyl ethet.OOO
liobutenol 4.500
lanzana 0.05
Selenium 9. OOO
Antimony 0.005
Ari.nlc 0.02
Barium 5
Beryllium O.OO5
Cedmlum 0.!
Chromium 0.1
Copper 0.!
lead 1S
Mercury 0.01
Nlckal 0.01
Silver 0.5
Thallium O.OOS
Vanadium 0.005
Zinc 0.01
Acatald.hyda 5. OOO
Uobutyraldenyda 5.000
Methyl ethyl katona 5.000
Hydrochloric acid 500
onttltu.nt 1 Kayl Aa.ueptlon.
tourer • 1 - -
i«n. Sur v«y
••n . Sui vmy
••n . Sui v*y
»«n . Survay
i«n . Survay
.•n . Survay
••n . Survey
i«n . Survay
i*n . Survay
ian . Survay
»an . Survay
•an. Survay
•an. Survay
ian. Survay
ian . Survey
Gan. Survay
ian. Survay
!>an . Survay
[tan. Survey
San. Survay
Gan. Survay
Gan. Survay
Gan. Survey
Gan. Survay
Gan. Survay
Gan. Survey
Gan. Survey
Gan. Survay
Gan. Survay
Gan. Survey
Gan . Survey
Gan. Survey
Gan. Survey
Gan. Survey
Gen. Survey
Gan. Survey
Gen. Survey
BRS CAS number*
SRS CAS number*
None
•
3
.,
Attumptlon uvad for the Generator Survay
matth: Rt MA coda, and font cede.
organic*. Hydrochloric acid added to
conttltuant* to account for D002
characterlftt Ic. Concentration of HC1 b«»«d
on e pH of 2 to *atl*fy 0002
character Ut Ic. Concentration of methyl
ethyl katona we* obtained from the
equal to that of methyl ethyl hetone.
P.ga 19
-------
T ,,. Appendix 6
Top 150 Routinely Generated Combusted Hastes: Constituent and Concentration Listing (continued)
RANK
RCNA Ma»t* corfa
/ 0001 DU28 fOJ7 IOJB
76
77
MOI D018 0025
MO 3
821
879
Source
B20S
219
111
Quantity
-
6.785
6.728
6.687
• " ' i i —
IA
i
i
Itonitltuanta
l.?-OUhloroathana
Banian*
Toluana
Phananthrana
Banzo(a)anthracana
Naphthalana
Pyrana
1hrytana
B«nio(a)pyr«n«
01b.ni(..h)«nthr«c«n«
Antimony
Arxnlc
Barium
Cadmium
Chromium
Copper
laid
Harcury
Nlckal
Salan I urn
Sllvar
Vanadium
Zinc
tone, (ap.)
ratolt
aniana
ydrazlna
on I a
Conitltuant
Source
50.00O
50.000
CRA Matta coda
CRA Matt a coda
I Kay I AtauBpt lon»
US CAS niimbari
RS CAS numbari
0001 thaiailai utlc attiwad dua to
organic» ( oncantratIon for 1,2-
dlchlotoathana Mai baiad on Judgamant
Conttltuanl i-oncantrat lon« from tha F017/JH
Background (Joi umant. and ara tha mldpolnti
of tha pottlbla concantrat Ion ranga for
aach confctltuant.
ydrailna Con'.ntrlJlo"'"1 **"" '*
on«"?d I'."* "''•''^•''•'•t-r'sSrvI"'1"
oncantratlon of ammonia bat.d on
^r:?,' '& *""•*"»" "•«• for ?h.
r?r :i2.ir:M» ">tch: *"ct«««"«•"
Paga 20
-------
Appendix 6
Top 150 Routinely Generated Combusted Wastes: Constituent and Concentration Listing (continued)
RANM
mOZSSm
'8
79
BO
(11
82
t
I
1
4
^
• =
RCRA Mile cod* 1 Sit
| Co4*
OOOI 0004 (1005 D006
>no7 oooe 0009 DOIO
KH1 0016
K002
0001 0002 0019 0022
O027 0028 0029 00)2
>01) DO 14
F002 F003 F005
0001 0018
4
2865
urc* 1
:e4e I
mSSS^SS
A33
A9«
A37
A33
1
(
•••
^
i
4
Ul« I
Dde 1
B02
B203
B494
B101
S211
Quantity 1
NM^MMMMM
6.S91
6.554
6.435
6.414
6,340
1
WS
•BM
1
I
1
1
1
Z]
1
1
1
1
1
-
Conttltuent* Com:. (p|*x)
'— — ^= =
2.4 DlcMorophenonyacet (c «c let'. 000
B.rtum 20.000
Sllv.r 1.000
Art.nl c 1.000
Chromium 1.000
l..d 1.000
Cadmium ZOO
Selenium 200
Mercury *0
Iolu«n. SO. 000
Xylan* 50.000
Ph.no 1 60.000
Cunyl ph.nal SO. 000
Acetoph.nane 50,000
L..d 10.000
Chromium 1O.OOO
Zinc 500
B.rlum 600
1,4-Clchlorobenlen* 1,500
l,l-D1chtaro*thyl*n* 1,400
Chloroform 1,200
H*»*chloroethane 600
Cirbon t«t r.ch lor Id. 100
1.2-Dlchloroethane 100
H.n.chlorobut.dl.n. 100
Henechlorobenzen* 30
PCBl 10.000
Hydrochloric acid 500
M. th.ro) !
n-Butanol !
Methyl athyl k.ton. 20
Methylana chlorld. l.SOC
TatracMoroathylene 0.2
1.1.2-Trlchloro.th«n. 20
1.2.4-Trlm*thylben2*n* SO. 000
tthylb.nl.ne SO.OOO
Toluene SO, 000
Xyl.n. SO, 000
Benzen. SO.OOO
~onat ttyant
Source
••MHMM^MMMCMMMB
1CRA watt. code
4( RA Matte coda
4CRA Matte cod.
KRA watta coda
3CRA watta cod.
RfRA N.»I« cod.
RCRA watt. rod.
HCRA wait, coda
HCRA natta coda
(i.n . Surw.y
Gan . Surway
BRS CAS numbart
BBS M.it* d.td.
BRS M.It* date.
ICO02 BOAT Doc.
K002 BOAT Doc.
K002 BOAT Doc.
K002 BOAT Doc.
RCRA wait. tod.
RCRA watt* coda
RCRA Matt* cod*
RCRA Matt* cod*
RCRA watt* coda
RCRA Matt* cod*
RCRA Matt* coda
BRS Matt* daic.
Nona
BRS CAS numb.rl
BRS CAS numbart
BRS CAS numbart
Gan. Survey
Gan. Survay
G*n. Survay
BRS CAS numb.ri
BRS CAS numbcrt
BRS CAS numbart
BRS CAS numbart
RCRA watta coda
1
K.y
____
•MMM
1
1
2
2
0
========================^ =
AttuBpt lont
'
Only uonil Ituantt occurring 1n mar* than JJ
p.rc.nt ul xatta ttra.nt xlth DO01 .t th.
only H(HA <.oda (at r*port*d In th*
banarator Suruay) M*r* includad to account
for tha 0(101 character Itl Ic . For toluana
and «ylan* th* madlan concantrat lont of th«
Mattat In tha Ganarator Survay M*r. ut.d.
Concant ral lont of matalt and 2,4-0 (2.4-
dlchlorophanonyacat Ic acid) M*r* atlumad to
ba 200 tlmat th* r.gulatory lavall. Iha
Matt* cod.t and form cod* B202 conflict
tine* th* Matt* codat do not Indicate any
th* praianc. of haloganatad org.nlct. Tha
than th« form coda.
BOAT background document. Concantrat lont
for th* organlct Mere bated on Judgement.
Concentrat lont for lead and chromium Mara
adjutted tinea th* background document
Indlcat.d unreel Itt Icel ly high
Watte detcrlptlon Indicated thai the watt.
It a PCs-contaminated organic Matte. 0001
characterlttlc attumad due to organlct.
Hydrochloric acid added to conttltuentt to
account for 0002 character lit 1c .
Concentration of HC1 bated on a pH of 2 to
tatltfy D002 characterlttlc. Concentration
level.
F003 and FOOS codet attumed due to organlct
Indicated by the BRS CAS number! .
F001-FOOS for th* fiber Induttry. Other
from th* G*n*retor Survey. Ataumptton utad
for the Generator Survey match: RCRA cod.t
DOOI ch.racterlttlc at turned due to
toluene and nytene obtained fro* the
Mattel. Other conttltuent concentration!
baied on Judgement.
Page 21
-------
Appendix 6
Top 150 Routinely Generated Combusted Hastes: Constituent and Concentration Listing (continued)
BJ
»OSI
Cone, (ppm) I Con»t Ituant
Sourca
Auumul Ion utad for tha Ganarator Survav
match: RIHA codat and form coda.
00) IOHS
'819
Ntphtha
Acanaphtha tana
loluana
Xylana
Phananthrana
Anthracana
Banzana
fluorIna
Banz(c)acrldlna
Chryiana
Fluoranthana
Pyrana
Phanol
2.4-Olma.thyl ph.no I
Ethylbaniana
Ant tmony
Artanlc
Barium
Barylllum
Cadmium
Chromium
Coppar
Laad
Marcury
Nlckal
Salanlum
SIIvar
thallium
Vanadium
Inc
lathyl athyl katona
^oluana
lylana
katona
>anxana
n-butanol
• rbon dUulflda
hloroform
thyl athar
Hathanol
AntImony
Artanlc
arlum
admlum
hromlum
aad
ircury
alanlum
Inc
25
25
25
7
2
2
2
2
1
i
003
1 OS
1 05
1 1
6!
o.:
75(
30
700
4
40
!
1
.OS
30
50
000
000
000
000
000
000
DOO
100
500
DOO
OS
I
).S
J. 1
1
>00
1. 1
00
5
.
Gen. Survey
Gen. Survey
hen. Survey
Gen. Sui vey
Gen, Survey
Gen. Survey
Gen. Survey
Gen, Survey
Gen. Survey
Gen. Survey
Gen . Sut vey
Gen. Survey
Ge n . S u i v e y
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Sen. Survey
Sen. Survey
Sen. Survey
G*n. Survey
Sen. Survey
Sen. Survey
Sen. Survey
ien . Survey
•en. Survey
Gen. Survey
ien. Survey
•en. Survey
ien. Survey
ien. Survey
ien. Survey
ien. Survey
ien. Survey
ien. Survey
ien. Survey
ien. Survey
»n. Survey
en. Survey
*n. Survey
•n. Survey
*n. Survey
Mn. Survey '
•n . Survey
mchOr» <"" th% <—'••'•tor Surv.y
match: DCHA codat and SIC coda.
-------
Appendix 6
Top 150 Routinely Generated Combusted Wastes: Constituent and Concentration Listing (continued)
=====
HAH*
Bi
86
111
RCMA «e»te code
/
i
UOOI 0002 (HIO 1 UU05
00 18 0021 1)02) 0024
1)025 0026
UOOI F001 FOOJ FOOS
SIC
Cod*
2S69
=
Sourc*
Co*4«
mSi
BMMMMM
lot.
(ode
/
8204
Quantity
6.O75
S.956
|
1
WS
1
a
*
»ec
1
8
=====1======
Constituents Cone. (pp«)
Ihlorobentene 20.OOO
Oetolt 2.000
Bemene 100
Hydrogen tulftde SOU
Hydrochloric ectd 500
Ac. 1 on. 250.000
Hethanol 140,000
M.thyl .thy) ketone 140. ODO
Dylan* 100.000
Toluene 80.000
Methyl chloroform 45.000
Methylene chloride 25.00O
Methyl Uobutyl ketone 1S.OOO
T.tr.chloro.thyl.ne 12.500
Carbon dliulfld. 12,500
Chlorobeniene 1,500
Ch lor of on. 12.500
Ethyl icetete 12.50O
Cthyl ether 12.50O
1, t,2-Irlchloroethene 0.3
n-Butenol 3
Itobutenol O-
Artenlc 0.
Berluei 1
Beryllium 0.
Cedxtlun 0.
Chroeiluni
Copper IS
lead 3
Mercury O.3
Selenlin 12,500
Silver 3
Zinc 15
Convt Ituent
Source
H lei lit Ic eituewd from bentene
• nd ihloi otien/ene end hydrogen tutflde x.i
.ild.d (o cov.i DOO3 cherecter 1 > t Ic .
Content! .1 lon» foi benzene, chlorobenlene .
• nd ci.ioU «i. 200 ttmei the reguletory
levels. Hydrogen tulflde concentret Ion w«t
beted on urofio»ed EPA guideline!.
Hydrochlui U etld edded to conit ttu.nt • to
eccount fot 0002 cherecter let 1C .
Concentret ion of MCI be>ed on e pH of 2 to
i.tltfy OOO2 ch.r.ct.rltt Ic .
0001 cherecterlkt Ic eitumed due to
orgenlct Aftftumptlon ufted for the
would be approximately 1.000,000 pp«.
Peye 23
-------
Appendix 6
Top 150 Routinely Generated Combusted Hastes: Constituent and Concentration Listing (continued)
88
*
rOOJ
DOOI FOOI F002 FOOJ
c
SIC
oeVe
2899
.'b.'l
S
Coelei
A89
1
1
utM
ode
B204
B219
Quantity
5,825
5,724
Js
6
2
1
6
1
1
Tonal Ituenta Cone. (pp»)
leltaihluiiiethylene bO.OOU
It Ichtor oel hy tene 50,000
Methylene ihlorlde 5o|oOO
1,1.1 Ir Uhloroethana 50,000
larbon tat I achtor Id* 40.000
(hlorobeniene 50,000
1 .2 (lie hlorobenzeiie 40,000
I r fch lorof luoromet hane 50.000
«ylene 30,000
Ethyl acetate 50,000
£thylben/ene 25.00O
£thyl ether 25.000
Methyl Uotautyl kelone 25,000
n-Butanol 50 ooo
Cyclohexenone 40 000
Kethanol 40,000
Toluene 10, OOO
Methyl ethyl ketone 25, OOO
Itobutanol 30,000
Pyrtdlne SO, 000
Acetone 50,000
Methylene chloride 22,000
1 . 1 . 1 - Trlchloroethene 6,000
Methyl chloroform 6 000
Irlchlorotrlf luoroelhane 6, OOO
Selenium 5,000
Naphthalene 50,000
Cuaene 50,000
Cthylbeniene 50,000
toluene 50,000
"ylene 50. OOO
Benzene 50,000
(unit Ituent
Soui re
So v nl IDH RIA
So v n IDR RIA
So v n |[IH HIA
So v n IDH HIA
So vi IflH HIA
So v i IIIH RIA
So vi IOH HIA
So v it IOH HIA
So v it IDH HIA
So v it LUH HIA
So vent (OR HIA
So vent LOR HIA
So ven IDH HIA
So ven IDH HIA
So ven LDH HIA
So ven IOH RIA
So ve IDH RIA
So ve LOR HIA
So va LOR HIA
So ve IDR RIA
Solve IDR HIA
Gen. S rvey
Gen. S rvey
Gen. S rvey
G«n. Survey
Gen. Survey
BNS CAS number
BRS CAS number
BRS CAS number
BRS CAS number
BHS CAS numhet
RCNA Matte cod
Key
3
0
AaeUBpt Ion*
ItOOl < hat at t ei lit Ic aaaumed ue to
uiganlii All conatttuenta ncluded In th*
IUR HIA Mate added. Ihe net e code FOOI
and fOO'i and form code 1202 onfllct >lni*
FIIOJ and FU05 both Indlc ta on -haloi|anat *d
org.nUi while B202 Indl at* the pretence-
of only h Iu4enated 01 g« lea. The R( DA
codes wer aitumad to be more accurate than
the form ude Since th form code
Indicate* a tulvant mint re, concent rat loni
were ad)u led to that total concentre! Ion
would be an than 1,000,000 ppn.
0001 cherectei lit Ic attunied due to
orgenl<:t. Aitumpt Ion uted for the
Ueneretor Survey metch; HCHA codei and form
organlti. Conat Ituent ioncentr*t lona for
beniene, toluene, and Ryl.n. obtelned from
U>e Generator Survey Information on OOOI
tiattet. Other conttttuent concentret lont
beaed on judgement.
Cage
-------
Appendix 6
Top 150 Routinely Generated Combusted Hastes: Constituent and Concentration Listing (continued)
RANT 1 BCRA nette cod*
90
91
i
i
oooi fooj roos
DOOl 0002 0007 0008
DOie DO 35 FOOI F003
FOOi U009
SIC
Coda,
2869
Saurc*
ۥ*ǥ
55
iHMMVMM*
A37
form
Cod.
SS
1
4
B203
BZ19
Quantity
&.692
5.679
* 1 f
US 1 Fac
173
1
122
I
=============================
CoMtltuant* Cone. (pf»)
~
loluan. US. 000
Xylan. 120.000
Hathyl alhyl k«ton« 11O.OOO
Acatona 6S.OOO
Ethyl acatata 20.000
Mathanol &S.OOO
Mathyl chlortda 55.OOO
Mathyl Itotautyl katona 2S.OOO
Mathylana chlorlda 10.000
Acatontlrlla 10.000
(hlorobantana 10.0OO
Cyclohaxnona 6.000
Ethylbanxan* S.OOO
n-Butanol 5.500
Ethylana glycol monoathyl athar 50
Acatophanona 0.1
Banlana 50
Forma Idahyd* 1
Uobutanol 1.500
Mathyl chloroform 500
Naphtha Una 4,000
Phanol 500
Pyrldlna 1.000
Artanlc O.I
•artuM 15
Barylllua 0 01
CaoaitiM 0.3
Chroaituai 60
Coppar 10
Load 8. 000
Marcury 0.04
Nickel 2
SaUnlun 0.1
Sllvar 1.100
Thallium 0.006
Vanadium 4
line 25
Acrylonltrlla 5.000
Bamana 4,000
Mathyl athyl katona 3.000
Chromium 1.000
Laad 1.000
Tatrtchloroathylana 5.000
Trlchloroathylana S.OOO
Mathylana chlorlda S.OOO
1,1,1-Trlchloroathana 5,000
Carbon tatrachlorlda 4,500
Kylana 4,000
Acatona 5,000
Ethyl acatata 5,000
Ethylbaniana 3,000
Ethyl athar 3.OOO
Mathyl Uobutyl katona 3.OOO
n-Butanol 5.000
Cycloh*«inona 4,500
Mathanol 4.SOO
Hydrochloric acid 500
Constituent
Source
ban. Survay
jan . Surway
[ian . Sur vay
[ian . Survay
&an . Survay
&an . Survay
[•an . Survay
Gan. Survay
Gan . Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan . Suf vay
Gan . Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan . Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
HCRA Malta coda
RCRA watta coda
RCRA Maftta coda
RCRA watta coda
RCRA Matte coda
Sol antt LDR RIA
Sol antt LOR RIA
Sol entt LDR RIA
Sol antt LOR RIA
So 1 *nt ft LDA RIA
Sol antt LOR RIA
Sol anti LDR RIA
Sol cntt LDR RIA
Sol anti LOR RIA
Sol entt LDR RIA
Sol antt LDR HIA
Sol antt LDR RIA
Sol antt LDR RIA
Sol antt IDR RIA
Non
"1
3
3
"
0001 thaiaitei Ittlc attuned due to
oigtnlt.t . Anumpllon uaed for the
Generator Survay natch: RCRA cadet and form
coda.
DO01 charactar1>t 1c and F005 coda attuned
due to benzene and mathyl ethyl ketone.
All conttltuentt Included In the Solvent*
LOR RIA for F001 and F003 Mere added.
b*t«d on judg*m*nt. Hydrochloric *cld
ch«r*ct*r1tt 1c. Concentration of HC \ b«»«d
on • pH of 2 to .•tttfy D002
character 1 »t Ic . Sine* th* form cod*
1nd1c«t*t untpactf l*d organic 1 tqutdt and
f luthlngi . and Ma»h1n£t . cone ant rat font
war a baiad on judgamant «nd th«1r r*t*ttv*
proportloni •» gtvan In th* Solvantt LOR
RIA.
Page 25
-------
Appendix 6
Top 150 Routinely Generated Coibusted Hastes: Constituent and Concentration Listing (continued)
•K.HA (Mite corf*
0001 DO04 UUOb DOOb
Baniene
Barium
Artenlc
Chromium
lead
Silver
Cadmium
Selenium
M«rcury
ooo; OOOB (1009 noio
0011 DO 18
Acetonltrtle
Acroleln
Acrylamld*
Acrylonltrlle
Arienlc
Barium
Nickel
Lead
Zinc
Hathanol
tcetono
tntImony
Irtentc
larlum
jarylHum
:ad*itum
Chromium
oppar
Lead
Man.., .
. . — •«•-»•»•«« IMUIVMIVU
that the Meite It an acetonltrlle Matte.
Concentrallont for the matalt Mere obtained
from the background document.
0001 characterlttlc ettumed due to
methenol. Methtnol concentration Mat
obtained from th* Generator Survey
Attumptton uted for the Generator Survev
match: HCRA codet and form code.
onientretlon Mat attumed to be 200
the regulatory level.
D001 characterltllc attum.d due to
— " 1. Hydrochloric acid add.d to
uentft to account for DOO2
— •-••-. Concentre! Ion'of HC I ba.ad
o tatltfy D002
• All othei concentration.
rom the (aanerator Survey
Pege 26
-------
Appendix 6
Top 150 Routinely Generated Combusted Wastes: Constituent and Concentration Listing (continued)
RANK
97
98
99
100
BCRA M*ta coda
V
J
^
0031 0018
oooi OOOB FOOJ FOOS
0001 OO07 DOOB F001
F002 F003 FOOS
0001 tXl62
SIC
4
214*
4953
9999
2833
Saurca
^
A37
A71
A37
Ion*
Coda
'
4
^
B205
BZOJ
B20.'
BIOI
Quantity
S.2JU
4.880
4.H66
4,830
f
WS
1
1
1
I
1
I
I
1
1
Constituent* Cone, (ppai)
Baniana 100. OOO
1 aad 50,000
Mathyl athyl katona 90.000
Xylana 2S.OOO
Toluana 25. OOO
Antimony O.003
Arianlc 0.003
Barium 0.03
Barylllum 0.003
Cadmium O.O03
Chromium 0.3
Coppar 0- 3
Marcury O.003
Nlckal O.3
Salantum 0.003
Sllvar ' 0.001
Thallium O 003
Vanidlum 0.003
Zinc 3
Chromium 1.000
Laad 1.000
Mathyl chloroform 70.000
Toluana ' 70. OOO
Xylana 70. OOO
Tatrachloroathylana 70,000
Trlchloroathylana 70,000
Mathylana chlortda 70,000
1,1,1-Trlchloroathana 70,000
Carbon tatrachlorlda 70,000
Chlorotaaniana 70,000
1,2-Dtchlorobanxana 70.000
IrtchloroHuoromathan* 70, OOO
Mathanol 25, OOO
Acatona 25,000
Toluana IS. OOO
Hydrochloric acid 50O
Sul f uric acid 5OO
Itoproptnol 25, OOO
Ammonia 1,000
Conitltuant
Sourca
HI HA M*tta coda
H( RA Matta coda
Gan. Survay
Gan. Sui vay
Gan . Sui way
Gan . Sui way
Gan . Sui way
Gan. Survay
Gan. Survay
Gan. Survay
Gan. Survay
Gen. Survay
Gan. Sui vay
Gan. Survay
Gan. Survay
Gan .' Sui vay
Gan. Survay
Gan. Survay
Gan Sui vay
RfRA Maita coda
HI HA Malta coda
Gan. Survay
Gan. Survay
Gan . Sui way
FOOI-F005 BOAT
Doc .
FOOI-F005 BOAT
FOO 1 -FOOS BOAT
Doc.
FOOI-FOOS BOAT
Ooc.
FOOI-FOOS BOAT
Ooc.
FOOI-FOOS BOAT
Ooc.
FOOI-FOOS BOAT
Ooc.
F001-FO05 BOAT
Ooc
BRS CAS numbar
BRS CAS numbar
BBS CAS numbar
BRS CAS numbar
BRS CAS numbar
BRS Ma*ta dale
BRS watta da*c.
Kay
0
1
3
0
A»ia>pt Ion*
11001 chai at I at 1 \\ Ic a**uaM)d dua to banian*
judgamant
confttttuantt wara obtalnad form tha
coda .
to ba 200 tlma* tha ragulatory laval.
At*umptlon u**d for tha Ganarator Survay
match: RCRA codat. All organic* Ilitad
undar (001 and F002 Mara addad from tha
F001- FOOS background documant . Tha
and form coda B2O2 conflict «1nca F003 and
haloganatad organic*. Tha RCRA coda* Mara
attumad to ba mora tccurata than tha form
coda.
Organic conttltuantt attumad to account for
DOOI charactarlttlc, and acid conttltuantt
attumad to account for 0002 charactarlttlc.
batad on a pH of 2 to tatltfy OO02
conatltuant* Mara obtalnad from tha
coda.
f>*ga 27
-------
Appendix 6
Top 150 Routinely Generated Combusted Hastes: Constituent and Concentration Listing (continued)
101
103
104
IDS
^
'
^
i
FOOl F002 (003
D001 D002 DOO; DO IB
0001 OO04 CMOS 0006
O007 D008 0009 D010
OO16 FOOl
IMJOI DO 18 OG25
KO22
C
°4a
r^t-
2865
ties
2911
2B6S
taurc*
Ca4«
A31
AM
A33
ASS
i
1
1
4
oral
Coda
B204
B219
B219
B602
quantity
4, 822
4,781
4.74]
4.694
4.609
1 WS
8
2
1
1
1
Ilk
8
1
1
1
tonillluantl Cone, (pp»)
Ac* ton* SO. 000
Mathylana chlorlda 22.00C
1,1.1-Trlchtoroathana 6.00C
Mathy) thloroforn 6.00C
Trlchlorotrl f luoroalhana 6.00C
Salanlum 5.000
Xylana 150.000
Mathanol 150,000
Banzana 150.000
1 ,2-Dlchlorofaanzana 150.000
Chlorobaniana 150,000
Chromium 1.000
Hydrochloric acid 500
Barium 20.000
2 ,4-Dlchlorophanoiiy aiattc lcl2I.OOO
Artanlc ] ooo
l««d 1.000
(htowliMi 1,000
Sllvar 1 000
C«d»lu« 200
Marcury <0
Tatraihloroathylana 50.000
IrlchloroathyUn* 50 i 000
HathyUn* chlorld* 50.000
1 , 1 , 1 - Tr Ich1oro«than* 50.000
Carbon t«t r«chlor Id* SO [ 000
Tolu«n« 50.000
Xylan* 50,000
Cr.moU 50.000
P«nt«n* 50 ooo
Phanol 50,000
^raanlc 5
CadnluD o 5
ChraMlum Q!S
Lonftt Ituant
Sourc*
G«n.. Survay
Gan . Sur vay
Gan. Survay
dan. Sui vay
dan . Sui vay
Can. Sui vay
BOS CAS numbar
BBS (AS numb.r
BOS CAS numbar
BRS CAS numbar
RCRA watta coda
RCRA Malta coda
Nona
Of HA waita oda
HfRA Ma>ta oda
HtHA Malta oda
RCRA Malta oda
RCRA naita oda
RCRA Haita oda
RCRA Malta oda
RCRA Maita oda
Solvantl LOR RfA
Solvanti LOR RIA
Solvantt LOR HIA
Solvantl LOR RIA
Solvantl LOR RIA
Gan . Survay
Gan. Survay
RCRA Malta coda
RCRA Malta coda
BRS Malta date.
ian . Survay
«an. Survay
jan. Survay
xan. Survay
Kay
J
3
3
0
1
Aaai*apl lona
lha foiin (.oda wai aiiumad to ba B204
(mUtura of haloganatad and non-haloganat ad
lolvanti) baiad on tha RCRA codai.
Conitltuanti and concant rat loni Mara
obtalnad fiom Malta itraaai coadilnatlon
undar Rank 68
coda aituinad dua to chlorobaniana and 1.2-
dlchlorobaniana. F003 coda Mai alititMd dua
to xylana. and F005 coda anunwd dua to
bandana. Hydrochloric acid addad to
conitltuanti to account for 0002
chara>.tarlitlc . Concant rat Ion of HC 1 batad
on a pH of 2 to latlify D002
Alt conitltuanti for FOOl Mara obtalnad
from tha Solvantl LOR HIA. Tha
cone-ant rat font for thaia organlct Mara
baiad on judgamant ilnca tha form coda
unipaclflad organic llquldi-. Only
conitltuanti occurring In niora than 33
pare ant of Malta itraaml Mlth 0001 ai tha
only HCHA coda (at raportad In tha
Ganarator Survay) Mara Includad to account
for tha 0001 charactar 1 it Ic . For toluana
and nylana tha mad Ian concant rat loni of tha
Maitai In tha Ganarator Survay Mara uiad.
Tha concantrat loni for tha natali and 240
"aval"*"™*'' '° "" 2°° "*" th* '•aBulatory
Concantrat loni Mara baiad on Judgaiaant.
Anumptlon uiad for tha Ganarator Survav
watch: RCRA codai and form coda.
Paga 28
-------
Appendix 6
Top 150 Routinely Generated Combusted Wastes: Constituent and Concentration Listing (continued)
=
HANK] RtHA Meste cod*
106
107
108
109
110
<
^
i
i
^
OOOI DOO? DOOJ 11004
1005 0006 0007 0008
)009 DO 10
D001 OO04 0005 0006
DOO 7 0008 D010 0011
0018 0035
Ol'Ol D004 DOOS 0006
0007
oooi
ICOZ7
SIC
Co**
^^M
MMMM
4963
2899
2869
2865
Source
•«•
A99
A89
A3]
AI3
i
loim
tod*
•I^H
t
t
i
t
t
BII4
B204
B407
8207
B403
quantity! 1 \ 1 1 Constituents Cone, (ppm)
VS lac
J 1 1 =±
4.564
4,531
4.509
4.501
4.457
1
1
4
9
1
1
1
4
9
1
Barium 20.000
Arsenic 1.000
Chromium 1.000
Sllv.r 1.000
Cadmium ZOO
Mercury 40
TMuane 50.000
Dylan. 50.000
Hydrochloric acid 500
Hydrogen sulflde 500
Methyl athyl ketone 100.000
Barium 20.000
Beniene . 2.200
Arsenic 1.000
lead 1.000
Chromium 1.000
Silver l.OOO
Cadmium 200
Selenium 200
Mercury 40
Barium 20.000
Arsenic 1.000
Chromium 1.000
Toluen* 50.000
Xylene 50.000
Lead &
Forma Id. hyda 12.500
Methanol ' 12.500
Acetone 12,50(1
Acetonltrlle 12.50C
Acetaldahyda 12.500
n-lut.nol 12.500
Ethyl ana glycol 12,500
Ethanol 12.500
loluana-2.«-dllsocyenate 20.000
loluen..2.4-dllsocyanata 20.000
Cthylbenxene , 5.000
2,4-Tolu.ne d lamina 5
2. 6- toluene dlamlne 5
o-0lchtoroben
-------
Appendix 6
Top 150 Routinely Generated Combusted Hastes: Constituent and Concentration Listing-(continued)
112
RCRA wait* coda I SIC
0005 DOO& 0008 FOOl 413
I arm
Co4a
0001
2512
A92
0704
•403
Quint Ity
4.348
4.322
Comtltuantm
Barium
Cadmium
La*d
I.i.l-Trlthloroathana
Mathylana chlorlda
trtchloroathylana
latrachloroathylana
Carbon tatrachlortda
.Cone. (ppajlcoiiitltuant
Styrana
Toluana
Hathyl athyl katona
Xylana
latrachloroathylana
n-Butanol
Ethylbaniana
Acatona
Craioli
Forma Idahyda
Acrylonltrlla
Hathyl Uobutyl katona
lanzana
III (2-athylha»yl) phthalat
lutyl baniyl phthalata
^hlorobaniana
:ycloha«anona
ithyl acatata
Lthylana glycol monoathyl a
ithyUnalmtna
[thylana oiilda
ithylldlna dlchlorld*
:luoranthana
Itobutanol
Hathanol
lathyl chlorlda
•athyl chloroform
lathylana chlorlda
lathyl mathacrylata
laphthalan*
fctamathylpyrophotphoramlda
rhananthrana
hanol
int I many
rtanlc
Barium
larylllum
admlum
hromlum
oppar
aad
tarcury
Ickal
alanlum
Hvar
h.lllum
•nadlum
20.00
20
1.00
240.00
?IO,00
170.00
160.000
100.000
45,000
17.000
12.000
10.000
7.000
4.000
: , 500
/.ooo
2,000
1.500
1 . 100
1,001
ita
601
athar 500
0.001
10
1
C
SO
70O
3
3
1
600
600
e 500
O.I
1,200
1
4
2
0.02
1
5
5
600
0.3
1.5
0.1
0.1
o ?
0.0?
10
••^•••••-•-••HmmM........*
RCRA watte code
RCRA watte code
RCRA waste code
Solvent * I OR Rli
Solvents LDR RIA
Solvents I OH RIA
Solvent. IDR RIA
Solvents IDR RIA
Gen. Survey
Gan. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gan. Survey
Gen. Survey
Gan. Survey
Gen. Survey
Uan. Survey
Gen. Survey
Gen. Survey
Gen. Survey
fcn. Survey
Gen. Survey
Gen. Survey
i«n. Survey
ien. Survey
ien. Survey
ien. Survey
ien. Survey
ien. Survey
l«n. Survey
ien. Survey
Mn. Survey
ien. Survey
ian. Survey
rtn. Survey
ien. Survey
Mn. Survey
»en. Survey
i«n. Survey
ien. Survey
ien. Survey
ien. Survey
ten. Survey
ien. Survey
ien. Survey
»n. Survey
*n. Survey
*n . Survey
*n. Survey
an. Survey
ian. Survey
•en. Survey
ien . Sui vey
••BBBaml
3
3
M^^^^^^MMM^M^MM<^MMMI^M^MpaMMMM^^^^
All tonfct 1 1 uant ft (and concantrat 1 on
fOOl Mai a obtalnad from tha Solvant
HIA. tha i oncantrat lon» for tha ma
laual Slnca tha form coda Indlcat
org.nlci wara adjuttad 10 that tota
i oncantrat Ion Mould ba approxlmatali
1.000.000 ppm
Attunptlon utad for tha Ganarator Su
match: RLRA coda> and form coda.
10
-------
Appendix 6
Top 150 Routinely Generated Combusted Wastes: Constituent and Concentration Listing (continued)
HAH It
•••••Ml
11 j
114
us
116
117
118
•••<
1
^
i
i
4
1
.-'.'. — ' - - -•_ -"^^1
HCRA Meat* cod*
=====
uooi ooo.; (K)o; CHUB
>021 F002 fOOl FOOS
0001 D018
D001 D002 DOO) 0035
UOOI U002 UO08 U028
U031 UOS7
0001 ()O02 F002 FOOl
(DOS UO02 UOI2 UO1I
UO44 U040
DO01 FOOJ
0001 D03S
S
C
«•
1C
>*•«
•••••
2865
2865
5169
Jtti*
2833
2869
S<
S5
lurce
Cede
=
A)4
A
A31
AJ7
A49
A3S
!_. .. 1 '._ -~ •J-^UJ HI, l._~
torm 1 Quantity
Code I
4
/
4
/
t
6204
8
B207
B2U1
BI01
B203
4, J16
4.312
4.196 '
4.163
4.003
4.000
T|
i
i
i
i
2
1
Z]
1
1
1
1
I
1
Conalttuanta Cone, ) 1
— — — — — l
tt.th.no 1 100.000
Kyl.n. 100.000
Beniene 100.000
|.2-Dlchlorobaniene 100.000
Chlorob.niane 2.000
Chromium 1.000
Hydrochloric acid 500
Beniene 100.000
Methyl ethyl k.ton. 10.000
Ac*t*ld«hyd« 10.000
Ac.ton. 10.000
Acrylic 4dd 10.000
DUthylhMyl phth.l.t. 10.000
n-But.nol 10.0OO
Hydrog.n tulfld* SOO
M*th*nol 100.000
Ac»ton. 100.000
Tolu.n. 1OO.OOO
Ethyl.n. glycol 10,000
n-But.nol 100.000
Htthyl.n. chlorld* 10.000
Anllln. 10.000
Chloroform 10.000
XyUn* 25.000
Aciton* 25.000
Ethyl «c.t«t« 2,500
Ac«ton turned due to organlct.
toncentrat tont of all conttltuentt obtained
from the Generetor Survey. At.umptlon
uted for the Generator Survey metch: RCRA
codet end form code.
judgement .
Peg* 31
-------
Appendix 6
Top 150 Routinely Generated Combusted Hastes: Constituent and Concentration Listing (continued)
HAMK
119
120
121
122
/
/
^
t
— —
RCRA Mil* cud.
0001 t004
0001 F003
noui 0002
0001 0002 D019 0032
0033 0034 0039 F002
C
/
SIC
•d.
M^MI
2621
2Hb9
2Bb»
2869
2665
1
5«urc«
Co*.
MBM^^BBI
A33
AJ1
A33
A33
1 1 III
lorn [Quantity! 1 \ 1 1 Lonat Ituant. Cone, ipom}
fod. 1 V> 1 1.. 1 tr"
4
1
1
^
B6U2
B2I9
8207
1219
(203
3.990
3,879
3.873
3,866
3,852
1
1
2
1
1
1
1
Cr.ioli 160,01)1
2,6'Dlm.lhy 1 ph.nol 60,001
Nltrob.ni.n. 140,001
Ph.nol HO, 001
Xyl.n. 120.000
Mathyl.n. chloride 30,000
H.thyl Itobutyl k«lon« 30,000
lolu.n. 10,000
Art.nlc o.
Barium ||
B.ry Ilium 8.001
Cadmium o.
Chromium ]|
Copp.r o.
L..d ,0
M«rcury ni
Nlck.l
S.l.nlum o
Sllv.r 0'
Zinc |
X.yl.n. 50.000
Cthylb.nz.n* 10,000
M.th.not 10.00C
Llmon.n. 100. 00(
M«th.nol 350 000
C<>PP«r 15.000
Hydrochloric acid '500
C.rbon t.t rach lor Id. SO. 000
•I.M.chlorob.nz.n. SO.OOG
•loaehlorobutadl.n. 50,000
4«»achloro.th«n* 50,000
r.tr.chloro.thyt.n. 50,000
Inloropyrldln* ISO 000
folu'O* 50.000
"y'«n« so.ooo
l«.d 5
-hromlum 5
C.dnlum o |
Hydrochloric acid 560
l*n<«n« 80.000
Cumin. ao.OOO
H"»nol 80.000
• Hlthyl ttyran* 80,000
tthylli«ni«n* go QQO
1 1
(on.lllu.nl 1 K.y
Sourc* I
HHS (AS numb.r
BN$ n.tl. d.tc.
(i.n Surv.y
(i.n . Surv.y
(j.n Sui v.y
G.n . Surv.y
(a.n. Surv.y
(i.n. Surv.y
G.n. Surv.y
G.n. Surv.y
G.n. Surv.y
G.n. Surv.y
G.n.' Surv.y
G.n. Surv.y
G.n. Surv.y
G.n. Surv.y
G.n. Surv.y
G.n. Surv.y
G.n . Surv.y
BSS CAS number
BRS CAS numb.r
BOS CAS numb.r
BRS M»t« d.ic
G.n . Surv.y
G.n. Surv.y
G.n . Surv.y
Non.
RCRA x.tt. cod.
RCRA •<»{« cod.
BCRA ».»t« cod.
4CRA M»(. cod.
RCRA »••!. cod.
BRS wot. doc.
j.n. Surv.y
••n. Surv.y
i.n . Surv.y
i.n. Surv.y
i.n . Surv.y
Ion.
BRS CAS numb.r
BRS CAS numb.r
IRS CAS numb.r
>RS CAS numb.r
IRS x.lt. d.»c
BRS H»t. d.ic
1
U
1
3
0
I — 1
fA.BUMptlonB I
1 1
1 oru. till «t Ion for 2.6-dlMthyl ph.nol H.I I
b.t.d on judy.m.nt. Concentration! of .11
oth.r lontlllu.ntt M.r. obt.ln.d from ih.
DOO1 ch.r.ct.r Itt Ic .nd f003 cod. .itux.d
du. to org.nlo. Conttltu.nt
conc.ntr.tlont x.r. b.t.d on Judg.rn.nt with
In. com Id. rat Ion th.t th. BNS xatt.
d.icrlptlon tndtc.t.d th.t th. not. U a
amount* of Hyl.n.
A. .ur.pt Ion u,.d for th. G.n.r.tor Surv.y
•wtch: ...ct match on .11 data .lam.nta
Hydrochloric .eld *dd.d to con.tltu.nta to
account for 0002 ch.rac t.r Ut tc
Conc.nlr.tlon of HC1 b.t.d on a'pH of 2 to
Mtl.fy D002 ch.r.ct.rl.t.c. CoSc.nt r.t Ion
for copp..- w., .dju.t.d tine. th. G.n.r.lor
Surv.y^ Indlc.t.d an unr..l Ut Ic.l ly high
F002 cod. .ttum.d du. to
t.tr.chloro.thyUn.. Only con.tltu.nt.
occurrln9 In nor* than 33 p.rc.nt of «..<.
itr..ma Mlth 0001 .a th. only RCRA cod. (a.
• ;P?ri*2 .'" "" G«"-"°r Surv.y) «r. '
Includad to account for th. 0001 II
cane"!".1!'10- F°r th* "•«••• »"• m.dlan
concentration, of .11 th. 0001 «,t.a In
th. &.n.r.tor Surv.y «.r. u..d Ih. II
conc.ntr.tlon> of all ora.nlc. ».r. b.a.d 1
coni???""?1- "y"«ch1o?U .eld .dd.2 "o
con.tltu.nt. to .tiount for 0002 If
on*I"ni*rJ'J'f- Conc«''««tlon of HCI b...d 1
on . pH of 2 to ..tl.fy 0002 II
haract.rlit Ic ' ||
0001 ch.ract.rl.tlc .tauaud du. to
bl»rf , 5°"" ltu*nt c«««»tr«llon. ».r.
ba.ad on Judg.iMnt.
— ... ,_
P.9* 32
-------
Appendix 6 . .
Top 150 Routinely Generated Combusted Wastes: Constituent and Concentration Listing (continued)
126
1Z6
JOOI 0005 U006 UOO/
MO! 0006
0001 DO1B »C048 K049
!833
'911
A32
20?
BV04
3.724
3.669
mi lui
admtun
hromlun
olu.na
ylene
»d
200
l.OOO
SO.000
SO.000
5
HCNA watte coda
1CRA watte cod*
ten. Survey
Gen. Survey
. Survey
admlum
Selenium
lydrochlorlc acid
100.000
I
500
lonzene
Lead
hromlum
10O.OOO
1.000
1,000
HCRA watte code
Gen. Survey
None
RCRA watte code
K048-51 lilt.
Lloc.
K048-S1 Lilt.
Doc.
ICRA cod.i war* Illumed to b« 200 tlflMI the
•gulatory 1*v*l. Only constituent!
.ccurrlng In mor* than 33 p«re*nt of weile
tra.mi with 0001 •» the only RCRA cod. (at
•ported In th. Generator Surv.y) were
includ.d to account for th. O001
:haracterlitIc. For laad. tolM.n.. and
jylane th. mad I an concantratlon§ of th.
watt.t In th. &*n.r.tor Surv.y »i.r. u«.d.
onc.ntratlon* for th. Mt«U w.r. obt.lnad
from th. G.n.r.tor Survay. Aoiwptlon uiad
for th. Gan.r.tor Surv.y _atch: RCRA codai
and tourc. cod.. Hydrochloric .eld .dd.d
to conttltu.ntt to account for 0002
ch.ract.rlttlc. Conc.ntratIon of MCI b«»ad
on a pH of 2 to t.ttify 0002
charact.rlltlc. Ihouah th. form cod.
Indlc.t.t an organic liquid, no organic!
».r* add.d xlth th. anumptlon that In thU
at. th. RCRA cod.t w.r. l*or. accurate than
the form cod..
8.man. «!!um*d to account for all RCRA
rodai; I.ad and chromium ware added baaed
upon tha K048-S1 lilting document.
Concentration! of the xeteli were aitumed
to be 200 t Intel the regulatory level.
Benzene concentration »ai baled on
judgement. Amiumd thet no helogenatad
oranic conitltuentft Nere pr.ient In thlt
weite although the form code Indicate* tha
potent lei pr.t.nc. of halogenated organlct.
B219
3.S99
100.000
HCRA watte code
ConcentretIon baled on
iza
0001
2869
BZOS
3.563
Methyl neth.crylete
SO.000
Gen. Surv.y
Attumptlon ui.d for th. O«n.rato
match: RCRA cod.l end form code.
129
0001 0005 0006 0007
0008 F001 F002 FOO)
F004 FOOS
738i
A71
B206
3.518
l.rlun
Cadmium
Chromium 31
L.ad 90
Xyl.n. 3.300
Toluene 3.100
1,1.1-Trlchloro.thane 1,200
Beniena 1.10O
T.trichloro.thyl.n. 901
trlchlorotrlfluoroethana 801
Nephthll.n. COO
Trlchloroethyl.n. 500
Dlchlorodlfluorowethane 25
Benxofal.nthr.c.n. 2i
»enzo(i)pyrene I
Cr.toll 1.00
Nitrobenzene 1.000
RCRA
RCRA
RCRA
RCRA
Ul.d
Uied
Ul.d
Ui.d
Ul.d
Ui.d
Ui.d
Ui.d
Ui.d
Ui.d
Ui.d
F001
Doc.
FOO I
Doc
wette code
Matte cod.
welt* cod.
Milt. cod.
Oil RIA
Oil RIA
Oil RIA
Oil RIA
Oil RIA
Oil RIA
on RIA
on RIA
Oil RIA
Oil RIA
on RIA
FOOS BOAT
-FOOS BDAI
D001 cheract.rlitlc enumed due to
orgentct. Cretoll end nitrobenzene
added to account for the F004 code.
The
beied on Judgement. All the other organic
conttltu.ntl and concentration! w.r.
obtained from Table V-38. "Mean
Concentretlonl of Potentially Hazardoui
ConitItuenti In Ui.d Oil Burn.d .1 On-
tpeclfIcetlon fuel," In th. ui.d oil RIA
Thaie conit Ituenti were enumed to account
for F001-F003 end FOOS code!.
Concentretlont for metell were obtelned
from th. ui.d oil RIA.
Peg. 33
-------
Appendix 6
Top 150 Routinely Generated Combusted Hastes: Constituent and Concentration Listing (continued)
loluana
Xylan*
laad
Chromium
Cadmium
Hydrochloric add
Only connllu.nl. occurring In mor* than jl
partant of «afla >tr*am> with OOOI ai th*
nnly HCMA coda (at raportad In th*
banaialur Survay) Mara Includad to account
Toi tha 0001 charactarlitlc. For th.ia
confttltuantft tha madl
lha xattat In tha Ganarator Survay Ma7a
uiad. Hydrochloric n Id addad to
contlItuantk to account for D002
i harat tarut Ic. Concant rat Ion of HC I b.t.d
on a pH of 2 to tatlify 0002
< haractarlttIc.
Xylan*
Toluana
Hathyl athyl tatona
Ma thy) Uobutyl katon
Arianlc
Barium
Cadmium
Chroml
Coppar
Laad
Harcury
Nlckal
Sal an I urn
Sllvar
Zinc
Avtumptlon utad for tha Ganarator Survav
match: RCRA codat and form coda.
IRS CAS numtaar
5an. Survay
an. Survay
ian. Survay
Only con»tltuant. occurring In mora than
[:.osrs:.s:?li?^"-?0j-t'«-«
malali tha madlan concant rat lout of tha
stncl'ti" i"* G«"--"or Surv.y i.rl i.Id
Slnca tha form cod* Indtcata. a haloaanata
" o-
OOOI 0005 0006 0007
D009 F003 FOOS
20.000
200
1.000
1.000
50.000
50.000
CRA watt* coda
ICRA watta coda
ICRA »aita coda
CRA Malta coda
an. Survay
•an. Survay
Caga 34
-------
Appendix 6 .*.-,•%
Top 150 Routinely Generated Combusted Mastes: Constituent and Concentration Listing (continued)
RAM! RCOA »..t. code I SIC I Seurce
1 I Cede 1 Cede
j
134
II*
•S
<
048 K049 KOSI
1044
1MH
/
=
/».l
sss
1
III 1
*>»
-
Ions
Code
•B
B***BBMM
BW
=====
Quenttty
=======
3.393
J.lle
f I 1
Wi, | tec
•••*••
1
1
•MHO!
j
i
.
Constituents Cone. (ppm)
••^ "^ mm^^m •
Benz(c)scrldlne 1OO
Benzo|j)f luorenthene 100
hrysene 400
thyUenxene 100
luorsnthene 1°°
lephthelene ISO
Phenenthrene «O
>vrene 15°
'ol ene 200
ivlene 25°
l|T 1 •••« .
irsenlc 300
lerliw 10°
lerylllun 3
:sde>lu* e°0
'hraeituH "°°
•oooer 30°
ieed 300
4*rcurv \5Q
Nickel 300
Selenium 1s
Silver 3
IhslHuM O.I
Venedlum lo°
line 300
•It (2-ethylhenyl) phthelete 700
lylene IOC
Pnenenthrene SO
Toluene SC
Anthrecene 1'
Benzene 1*
Bemo(»)pyrene K
•utyl beniel phthslste 1C
Chloroforw H
Chrysene 1^
Cthylbeniene K
Pyrene 1C
Antimony 1<
Artentc '
Berime 25
Beryllium 0.1
Csdmlod '
Chromium I.'OI
Copper • ''
Ieed SI
Mercury
Nickel 20
Selenium 0.2
Silver 0.
Thelllum °
Venedlun 101
Zinc SO
==============
Constituent
Source
^^^^^^^^^^^^.——^—f
ken. Survey
ien. Survey
ien. Survey
ien. Survey
ien. Survey
ien. Survey
ien. Survey
ien. Sui vey
ien. Survey
ien. Survey
ien. Survey
ien. Survey
ien. Survey
ien. Survey
Gen. Survey
jen. Survey
Sen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen, Survey
Gen . Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen . Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen . Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen . Survey
Gen . Survey
Gen. Survey
Gen. Survey
Gen. Survey
Keyl
1
j
^=
Assumptions
~
Assumption uteri for the Generetor Survey
mstch: DC HA codet.
match: RCRA cod*.. SIC coda, tnd sourc*
cod*.
Pege IS
-------
Appendix 6
Top 150 Routinely Generated Coibusted Hastes: Constituent and Concentration Listing (continued)
RANK! RCRA ~.t.
117
0001 0002 000!> DO lib
0001
"OOI OO06 UOOti (OU<-
SIC
4tS
2869
8204
6606
3.295
3.17S
3. J68
I (Continuant a
feel
Cone, (pp.) I Con.tltu.nl
I Source
Barium
Cadmium
Toluene
Xylen*
L..d
ChroMlum
Hydrochloric .eld
20,00
20
50.00
50,00
Benzene
Chlorobenzene
o-01chlorobenzene
p-Dlchlorobenxene
Cadmium
•Id
Foluene
lylane
Ihloro
•obenxene
trlchlorofluoromathane
richloro.thylene
etrachloro.thyl.n.
Mathylene chlorld.
.1.1-Trlchloroath.na
1.2-Dtchlorobeniana
1U.OO
S.OOi
30
300
200
1,000
1.000
1.000
1.000
1.000
1,000
1.000
1.000
1.000
1.000
D019 0022 0032 0039
K>43 K01B K020
hloroform
atrechloroethyUn*
•rbon tatr.chlorld
1nyl chloride
H.n.ch1orobenxene
thylene dlchlorld.
20.0OO
20,000
20,000
20,000
20,000
20.000
CRA MIX. cod*
ICHA Matte cod*
ICRA M*st* cod*
CRA watt* cod*
CRA Matte cod*
RS K«»t* date.
ca* Conc-'tr.tlon. fo,
con.tltu.nt. «.r. b...d on
K)OI DOOS D006 DOO/
•008 0011 0022 D035
MJ39 F001
•tothyl ethyl baton
40,000
20,000
1,000
1,000
.OOO
1.200
200
CRA w.tta cod*
CRA watt* coda
CRA Ma*t* coda
CRA Matt* cod*
CRA HMt* cod*
CRA M*tt* cod*
CRA Matt* cod*
•flu*
hrOMlu*
•ad
llx.r
hloroform
adnliini
•trac
RCHA MIX. cod.
RCRA Hitta coda
Can. Survay
Can. Survay
Gan. Survay
G*n. Sui vay
Nona
60S H*tta d.tc.
San. Survay
Kan. Survay
Sen. Survfty
ICRA M»ta cod.
ICRA xatt* cod*
>*n. Surv*y
>*n. Surv*y
Solv.ntt LOR RIA
Solv*ntl LOR RIA
Solv.nli IOR RIA
olv.ntt LOR RIA
Solv*ntt LOR RIA
Solv.ntt LOR RIA
Solvcntt LOR RIA
^^~——^^^^^M^^Ml^M^M
(oncentietlont for m*tel> Indlc.t.d by th*
0 cod*> ware *ttum*d to 200 tlmat the
regulatory l.v.l. Only conttltu.ntt
occurring In more than 33 percent of M.tte
itr.tmi with 0001 at th* only RCRA cod* (at
laported In the Generator Survey) were
Included to account for the 0001
character lit Ic. for thete conttItuenti the
median concent retlont of the Mattel In the
Generator Survey Mere uted. Hydrochloric
•acid added to conttltuentt to eccount for
0002 ch.r.ct.rlttlc. Concentration of HCI
bated on e pH of 2 to tatltfy 0002
tharaitarltttc. Attuned that no
h.log.n.tad organic contttluantt were
pretenl In thla Matte although the form
code Indlcatei the potential pretence of
halogenated organict.
eeniene Mat added tine, th* BRS Mitt*
detcrlptlon Indlc.t.d that the watte It
burned for energy recovery and the
Generator Survey Indicated the pretence of
chlorobenxene.. Concentration for benxana
wet bated on judgement. Concentration! for
• h. r. *"" "n*J'*"«"t« Mere obt.tned from
!t! ?!"r!J°r Sur"«y- Attumption u..d for
20o
200 t «.
r.9ul.tory ,.„.,
U" Occurrln9 «" "ore
a.turaad to
Qn|
th.n 13
Page 3C
-------
Appendix 6
Top 150 Routinely Generated Combusted Mastes: Constituent and Concentration Listing (continued)
RANK
1
•MMW
Hi
14?
14 1
144
/
/
i
<
(KHA Mile" cod*
••••MV^^BMaamKWM^^^HHW
uuai 1003 fuos
D001
(1019 0018
D001 0005 DO06 DOO 7
0003 DOO} 0019 F001
F002 F001
s
c
•MV
If
i«1e
=
2M9
2822
2869
S.
ss
ource
Cede
nil
A09
A)3
1
C
;
/
;
urm
ode
8201
B606
B407
Quentlty
J.OM
3,068
3,060
Z.999
t
ws
)
1
1
1
f
tec
J
1
1
1
Constituent* Cone. (pp>)
loluene 250, OOO
M«th«nol 25O.OOO
fth.nol 250,000
Styrene 45,000
Toluene IS, 000
Methyl ethyl 1. ton. 5,000
1,1-Dlchloroethylene ,OOO
Kylene .500
Aery lonltr tie .000
Chloroprene .000
l,4-Dlchloro-2-butene .000
Ethyl tc.t.te ,OOO
Cthylbentene .000
Hethenol .500
Methyl chloride .000
Methylene chloride .OOO
Qenzene 20
Antimony' 0.5
Arienlc 0.05
Birlum 0 5
Beryllium O.O5
Cidielum O.j
Chromium 0.4
Copper 20
l«>d 2
Mercury 0.2
Nickel 0.4
Selenium O.04
Silver 2O
Ih. Ilium 0.4
Venedlum O.OI
Zinc 0.01
Benzene 50.000
Pyrldlne 50,000
B.rluo 20,000
Chromium 1,000
Leed 1.000
C.dmlum 200
Ctrbon tet rech lor Ide 10Q
Mercury 40
Tetrechtoroethylene 3,000
TrlcMoroethylene 3,000
Methylene chloride 3,000
1. 1, 1-Irlchloro. thane 3,000
Cirbon tetrechlor Ide 3,000
frlchlorof luoromethene 3, OOO
Xylene 3,000
Acetone 3,000
Ethyl tcetete 3,000
Ethylbeniene 3,000
Ethyl ether 3,000
Methyl Uobutyl ketone 3,000
n-6utenot 3, OOO
Lye loh«K«none 3,000
Methenol 3,000
f onat Ituent
Source
^^•MiMMaiMB^MaaHH^MH
BRS CAb number
BUS CAS number
BH'J weite d.tc
den. Survey
uen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Sui vey
Gen. Survey
(ien . Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Sui vey
Gen. Sutvey
Gen. Survey
Gen. Survey
Gen . Sur vey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen. Survey
Gen . Survey
Gen. Survey
RCHA Mette ode
RCNA Nette ode
RCRA Meite ode
OCR A wette ode
RCRA-xette ode
RCRA Mette ode
RCRA Mette ode
RCRA Me»te ode
Sol enti IDR RIA
Sol entt IDR RIA
Sol entt IDR RIA
Sol entl IDR RIA
Sol entt IDR RIA
Sol ntt IDR RIA
Sol ntt IDR RIA
Sol ntl IDR RIA
Sol ntt LOR RIA
Sol ntl LDR RIA
Sol ntl IDR RIA
Sol ntl IDR RIA
Sol ntl IDR RIA
Sol ntl IDR HIA
Sol ntl IDR RIA
Sol ntt IDH RIA
Sol ntl IDR RIA
Key
"^^™
0
3
0
3
A»»UM|»t loni
~"
FOO.J cod* «Skum«d du* to HMthanol «nd f OU6
tod* •.tunmd du« to tolu*n« . Con*tlto*nt
Aitumpttun ui«d for th« G*n*r»tor Survey
match: RCHA cod^t and SIC cod*.
Conitltu«nt conc»ntr*t Ion* b«t«d on
Jud9«tn*nt .
for F002 and F003 war* addad
Concantrat ton* for othar conat \ tuantt w*i a
batad on Judgam*nt.
Pige 37
-------
Appendix 6
Top 150 Routinely Generated Combusted Hastes: Constituent and Concentration Listing (continued)
"??•——•—
••••Mai
145
146
147
!
i
^
i
RCUA Matte corfe
UOUI 1001 FUOb
0001 0002
0001 U154
0001 0002 0001 [IUU7
'018 0019 0021 0022
0028
T —
1 <
SIC
oo.
286t
9999
2H21
T
1 :
taurce
Coee
.'
All
A
AJ7
AJJ
T
[_,
^
or«
.ode
B
B219
8212
1 ^^
Ouantlty
2.976
2,969
2.947
2,900
2
2
1
1
1
i = — •-
IcoKitltuaiitt Cone, (ppei)
loluene 100.000
2-Chloro-1.3-butadlana 100,001
Tatrachloroathylene 100,001
Irlchloroathylane 100, OOC
Hethylene chloride 100,000
1 , 1 , l-Trlchloroethane IUO.OOC
Carbon tetrachlorlda 100, OOC
Toluene 50,000
"ylene 50,000
Lead 5
Chromium c
Cednlum o.l
Hydrochloric acid 500
Hethanol 5OU,000
Itohepttne 100,000
1 ,2-Dlchloroethane 20,000
Chlorobenzena 20^000
Ian tana 20 ' 000
Carbon tatrachlorlde 20,000
Chloroform 20,000
Chromium j o00
Hydrochloric acid 500
1
I Conttlluant
1 Source
"
BRS CAS nunbart
BRS CAS number i
Sol ntt LOR RIA
Sol ntt LOR RIA
Sol ntl IOR RIA
Sol nil IDH RIA
Sol ntl IDH RIA
Gan. Survey
Gan. Survay
Gan. Survey
Gen. Survey
Gen . Survey
Nona
BRS CAS numbart
BRS watte date.
BRS CAS numb.i t
BRS CAS numb.i t
RCRA Matte code
RCRA Matte code
RCRA Malta coda
DCRA Matte coda
None
None
U-y
2
1
0
j
Aaiumpt luni
1)1)01 chai at lar lit Ic attuned due to organUt
and 10(15 coda attuned due to toluana. All
conttltuanti Includad In the Solventi IDR
RIA fui FOOI ware addad. Concentrat loni
for all conttltuanti Mere bated on
Judgement .
Only conttltuenti occurring In more than 13
percent of Matte itreamt with 0001 at tha
only RCRA coda (at reported In the
Generator Survay) Mare Included to account
for tha 0001 character lit Ic . For thate
conttltuenti the median concentrat lont of
utad Hydrochloric acid addad to
on a pH of 2 to tatltfy 0002
0001 charac terltt Ic attumad due to
math. no). Concentration for mathanul
obtained from the Generator Survey
Attumptlon uted for the Generator Survey
match: RCRA code! and form coda.
Concentration for Itoheptana wet bated on
0001 character Ittlc attumad dua to banten.
Concentration of chromlwi.M.t attumad to ba
200 tlmet the regulatory level.
Concentration! of the organic! Mare bat.d
on Judgement. Hydrochloric acid addad to
conttltuanti to account for 0002
on a pH of 2 to tatlify O002
characterise. Hydrogen tulflde Included
Concen°Unl '°r °°O3 chmr
-------
Appendix 6
Top 150 Routinely Generated Combusted Hastes: Constituent and Concentration Listing (continued)
«~
149
150
'
HI HA M>|* tod*
1)00 1 liOOJ
0002
s
c
•__•
1C
Ml*
—
2821
2B.M
S
MM
ourc*
Coda
_____
*49
All
1
C
'
od*
BIUJ
.„
quantity
2.B6B
2.812
1
WS
1
1
'
1
t'onilltuantm Cone, (pp—)
, ' — '
IthyUn* ylycol 24.0011
Toluan* 25.000
Kylana 25.000
lead &
Chromium ^
f.dmluin 0 1
Cthyl K.t.t. 2S.OUO
Hydrochloric «cld !>OO
Hydrochloric acid SOU
Con.t Ituent
Source I
BUS tAS umh.t i
Gan . l»ui ay
dan . Sui ay
lien. Sui ay
(*an. Sui ay
Gen Sur ay
None
None
My
0
1 ••
A»i_«>< Ion*
iinly (.onvlUuanl* occurring In _or« th«n IJ
,,.rc.nt of ...vl. ttr«»» xlth DOOI .. th.
only Hi HA tod« (•» reported In th«
(i«n«iatur Survvy) M*r« Included to account
for th* (illOI ch«r.ct«r l»t Ic . For that*
ion&( It u*nl t th* m*dtan conc*nt rat Ion* of
uv*d. Hydioihlorlc at Id addad to
iharactai lit It . Conontrat Ion of MC 1 b«i«J
on a ptl of 2 to tatlafy 0002
ch*iactarl>t Ic . Ethyl acatat* ••« addad
tinea th* BRS »*>ta danrlptlon lndlc*t*d
1 oncant rat lon& for athyl ecateta and
athylona glycol Mora batad on }ud9«a*nt
liquid, concantrat lon» wara ad(utt*d to
•ppronlmataly 100.UOO ppm
Hydrochloric acid wat addad to account for
IK)O2 charactarltt Ic. ( uncant rat Ion of lit 1
batad on a pH of 2 to talUfy OOO2
t harac t«r l»t It .
-------
-------
APPENDIX 7
SUMMARY OF PRIORTTIZATION SYSTEMS
-------
-------
Arizona Waste Minimization Project:
Analysis of the Facility Animal Reports from the
53 Largest Hazardous Waste Generators in the State of Arizona (Task 2)1
Purpose of the Methodology/System
• Purpose of Arizona Waste Minimization Project is to allocate state's resources towards
wastes and industries with the greatest potential to succeed at further waste minimization
efforts.
• Purpose of Task 2 of the Project is to identify industries that generate the largest waste
volumes, and wastes that are the most significant in terms of volume and toxicity.
System Description
• Grouped hazardous wastes from Arizona's 53 largest waste generators into 13 "waste
categories" based on generating process, chemical composition, EPA hazardous waste
number, physical form, and source codes.
• Assigned relative "toxicity" scores to waste categories reflecting "threat to ground-water
resources" using a ranking system based primarily on professional judgment:
"1" = constituents would not migrate easily to ground water
"2" = corrosive wastes with high levels of soluble metals
"3" = wastes composed primarily of solvents
• Waste categories with large volumes and high relative tenacity scores were identified as
being of highest priority for waste minimization (e.g., waste categories with volumes >
100,000 pounds and a toxicity score = 3 are classified as "high priority* for waste
minimization).
Report also examines proportion of waste already recycled for each industry and waste,
and reduction in waste quantity between 1989 and 1990; information will be used in later
tasks to identify industries and wastes that will benefit most from further waste
minimization efforts.
System Evaluate*
1 Documentadoft reviewed:
Arizona Waste Minimization Project: Analysis of the Facility Annual Reports from the 53 Largest
Hazardous Waste Generators in the State of Arizona, August 1992, Report prepared tor U.S. EPA Office of
Waste Programs Enforcement by PRC Environmental Management, Inc.
Contact: William Wilson (415/744-2153)
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-2-
Scope of coverage;
• Hazardom wastes generated by the 53 largest generators in Arizona, excluding:
Wastes generated by one-time incidents
Wastes coded as being generated by commercial TSDFs.
Media/pathwavs addressed:
• Ground water
Tvpes of targeting criteria used Csee Exhibit 1);
• Risk based:
Quantity of waste generated
Judged "threat to ground-water resources"
• Non-risk based:
Later tasks: potential to succeed at further waste minimization efforts (report
indicates that this is related to proportion of waste already recycled)
Data requirements:
• Volume of waste generated
• Waste characteristics (chemical composition, physical form, source and generating process)
• Waste management practices (proportion currently recycled)
• Data derived from Facility Annual Reports (FARs) submitted to the Arizona Department
of Environmental Quality by large quantity hazardous waste generators in Arizona.
Applicability to waste minimiy*tion targeting:
Pros
• Based OB a small number of targeting criteria.
• Consideration (in subsequent tasks) of quantity of waste already recycled wifl avoid
targeting industries that are already practicing effective waste minimization.
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-3-
Cons
Grbupinf wwtes into categories and assigning toricity scores relies on professional
judgment; methods appear rudimentary and are not well documented. Furthermore, the
•'toxicity' score does not appear to be an accurate measure of the constituents inherent
toxicity.
At the national level, availability of data for grouping wastes and assigning toxicity scores-
will be limited.
Addresses only ground water.
-------
Exttbit L Tarfetiag Criteria Used in the Arizona Waste Miaiarizatkm Project
TARGETING CRITERIA
Direct Risks
Waste volume
Waste/constituent toxicity
Human toxicity
Ecological toxicity
Constituent concentration or mass
Waste type (e.g., solvents)
Number of generators
Waste management practices (i.e., to determine if
recycling is in practice)
Releases to environmental media (only potential for
release)
Potential for constituent transport
Potential for cross-media transfer
Potential for human exposure:
residential settings
occupational settings
Potential for ecological exposure
Indirect or Acute Risks
Ignitability, corrouvity, reactivity
Ozone depletion potential
Global winning
Ottar TarfttiBf Criteria
watte management capacity
Tedmkal/adminatnttrve feasibility
Permitting/enforcement factors
Cost savings
Other factors
Proportion of waste already recycled
-------
•5-
EPA/OFPT Chemical Use Clnsten Scorinf Methodolofj2
Purpose of tbt Metbodolofy/System
• To provide a screening-level scoring/ranking of chemicals identified for a specific use
cluster. (A chemical use cluster refers to a group of chemicals that are all associated with
a specific process or function, be it chemical, industrial, or agricultural [e.g., vulcanizing
agents in the rubber chemical production process, or pesticides for a specific crop].)
• To identify use clusters that may have high potential for pollution prevention.
• Applications identified in the documentation include:
"to systematically identify and screen concerns related to a greater number of
chemicals in commerce;" and
"to provide an initial indication of potentially safer substitutes for extremely toxic
chemicals."
System Description
• Two distinct components:
the first component scores chemicals within a single use cluster using five criteria
the second component scores the entire use cluster based on the chemical-specific
scores and one additional criterion.
• Each of these six criteria includes one or more subcriteria which are scored based on
chemical-specific data to form the basis of the numerical scores assigned to the criteria;
the criteria and subcriteria are listed in Exhibit 1.
• Four scoring steps lead to the derivation of the overall chemical score:
based on chemical-specific data, each subcriterion is scored as high-, -medium-, or
low-concern, which translate into numeric scores of 3, 2, or 1.
the single highest subcriterion score is assigned to the criterion (e.g., human hazard
potential) being scored. To minimize or "dampen" the effect of missing data, all
subcriteria are regarded as equally important, i.e., equal weight, and the highest
2 Documentation reviewed:
Chemical Use Chaurs Scaring Methodoloy, April 13, 1993 Draft Report, prepared by the Chemical
Engineering Branch, Office of Pollution Prevention and Toxics, USEPA.
Contact: Daniel Fort (202/260-1694)
-------
Exhibit 1: Criteria and Subcrteria
Criteria
Subcriteria
Chemical-level
Human exposure
potential
Chemical use volume
Total TRI release
Consumer use
No. of workers
No. of use sites
Bioaccum illation
Persistence
Human hazard potential
Noncancer effects
Cancer effects
Ecological exposure
potential
Chemical use volume
Total TRI release
Consumer use
No. of use sites
Bioaccum ulation
Persistence
Ecological hazard
potential
Aquatic toxkaty
EPA regulatory interest (No subcriuria)
Cluiter-levd
Pollution prevention
potential
Ecological risk reduction potential
Human health risk reduction
potential
Chemical release reduction potential
score produced by any one subcriterion is assigned as the criterion score for the
chemical.
the scores of the two human risk-related criteria, Le^ human hazard potential and
human exposure potential, are multiplied to obtain a score for a "secondary"
criterion called the chemical human risk reduction potential.
sztmlariy, a score is obtained for another secondary criterion, the chemical
fffiotofical risk reduction potential.
the overall chemical score is calculated as the sum of a chemical's scores for the
following criteria:
human risk reduction potential;
ecological risk reduction potential; and
EPA regulatory interest.
-------
-7-
of the final cluster score:
Score based on:
the individual member chemicals' overall scores
the score for one cluster-level criterion, i.e., the cluster's pollution
prevention potential.
pollution prevention potential criterion is scored based on three subcriteria:
the cluster human risk reduction potential;
cluster ecological risk reduction potential; and
chemical release reduction potential.
the final cluster score is derived as the sum of the pollution prevention potential
score and the mean of all overall chemical scores for that cluster.
System Evaluation
Scope of coverage:
Addresses individual TSCA chemicals within the context of their use cluster. (That is,
data for some of the criteria are dependent on the specific use cluster being examined,
and may differ for a given chemical with several uses.)
Media addressed:
System does not score the chemical on a media- or pathway-specific basis; only aggregate
releases to the environment are considered.
• However, because it uses total release information based on the Toxics Release Inventory
(TRI), this system implicitly addresses the following media:
direct releases to air
land (landfill, underground injection)
surface water (direct releases, POTW transfers)
Cross-medu transfers are not explicitly considered.
Types of
Criteria and criteria-wore combinations used in this system generally conform with the risk
assessment paradigm (Le^ hazard x exposure = risk).
Of the chemical-level criteria listed in Exhibit 1. fwo relate to human risk potential (Le.,
human hazard potential and human exposure potential), and another two to ecological risk
potential (Le^ ecological hazard potential and ecological exposure potential):
-------
-8-
"EPA's regulatory interest* criterion assigned as follows:
chemical is directly assigned a score of 3, 2, or 1 for this criterion based on the
number of regulatory lists of interest on which it appears (e 2 CWA Prioritv
Pollutants list; RCRA P and U lists). ( *" A Pn°nty
criterion meant to measure the Agency's previous and current interest in the
C DC miC3L.
-Ouster's release reduction potential (RRP)- criterion (the cluster's RRP score is the
average of the RRP scores for all chemical* in that cluster): - ^^
based on its member chemical*' "efficiency-of-use/ Le., ratios of their release to
use volume, estimated from TRI data (this ratio measures the fraction of •
chemical throughput that is released to the environment).
• Key targeting criteria are summarize in Exhibit 2.
Data requirements:
ies considerably across criteria/iubcriteria, but data requirementt
• Use of specified data sources:
reviewed documentation specifies a data hierarchy for moct of the
cntena/subcriteria; sources of input data are well described (e.g., TRL Clinical
Toxicology of Commercial Products, HEAST, IRIS)
Specifies methods for handling missing data and the use of professional judgment
Applicability to waste mj^iTniTation targeting
Pros
System explkitry considers pollution prevention potential of chemicals.
Althcjufh data-intensive, system is flexible in using data of varying quality, and allows use
or procMBonal judgment
Cons
• Focuses on the "rislrinesr of a chemical specific to a use.
k System uses a number of exposure-related subcriteria that are not directly comparable.
borne of the exposure-related subcriteria measure exposure wfujti,** (e , total
-------
-9-
releaaaX othen exposure extent (e.g., number of workers), and stifl others chemical
nropertia related to exposure likelihood, magnitude, and duration. This part of the
svstemnuy be internally inconsistent (since exposure is assigned a score using the single
hiehest-«coring subcriterion) and may also 'double-count" exposure, and as a result,
exposure may be weighted too high relative to toxicity. That is, because there are similar
exposure factors in both the human ecological criteria, exposure is essentially 'double
counted" relative to hazard.
-------
-10-
Exkibtt 2.
Criteria Used in the ChemkaJ Use Casters Scoria* Methodoloa
TARGETING CRITERIA
Direct Risks
Waste volume
Waste/constituent toxicity:
Human toxicity
Ecological toxicity
1 Constituent concentration or mass
Waste type (e.g., solvents)
Number of generators (use sites)
Waste management practices
Releases to environmental media
Potential for constituent transport
Potential for cross-media transfer
Potential for human exposure:
residential settings
occupational settings
Potential for ecological exposure
^
/
^
^
•
/•
/
S
S
Indirect or Acute Risks
Ignitability, corrosivity, reactivity
Ozone depletion potential
Global wanning
Other TarfetiBf Criteria
Hazardous waste management capacity
«t_ • •
Permuting/enforcement factors
1 Other factors:
EPA regulatory interest
pollution prevention potential
s
s
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-11-
EPA's 33/50 ProfTMi3
Purposes of thf MetfcodoJofy/System
• To target 17 chemicals and reduce their national aggregate releases by 33% by the end of
1992 and 50% by the end of 1995.
• To encourage pollution prevention activities, including source reduction and in-process
recycling, in achieving these reductions.
• A voluntary reduction program.. Not legally enforceable; companies are free to commit to
their own reduction goals and to develop their own cost-effective strategies.
• EPA will not measure individual company efforts in program, but instead will measure
progress on a national, aggregate basis (i.e., looking at the reduction in total releases of all
17 chemicals).
System Description
• In the targeting process, the 33/50 Program:
canvassed all major EPA offices for a list of their highest priority chemicals based
on each office's own ranking criteria and selected from the TRI (a public data
base containing information on annual releases and transfers of about 300 toxic
chemicals);
designated all chemicals in more than one list as potential candidates for the
program (25 chemicals); and
narrowed down the 25 chemicals to 17 by informally applying three criteria:
production and environmental release volumes;
tenacity to humans; and
the potential for reducing releases through pollution prevention practices.
The 17 chemicals were selected from a pool of TRI chemicals; the TRI will be used to
track the progress of reaching the 50% reduction goal
3DocumentaiiM reviewed:
U.S. EPA 1992. Quatont and Answers: U.S. EPA's 33/50 Program [no document number
given).
Telephone conversations with EPA staff members of the 33/50 Program: Dtvid Sarokm (Project
Manager), John Harman, Mike Burns, Loren HalL
Contact: David Sarokm (202/260-6396)
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-12-
• Procea* used in targeting chemicals was qualitative and did not rely on a standard targeting
approach:
17 chemicals are not necessarily the "riskiest"
17 chemicals are not the only chemicals the program is concerned about
the program, if successful, will be expanded to cover additional chemicals
• The 'narrowing down' process had the following characteristics:
no numerical ranking; ranked toxicity and volume in a high-medium-low system
professional judgment used
no standardized measure used for volume, though total releases and transfers in
TRI were commonly used by EPA offices
- no standardized measure used for toxicity, though RQs and carcinogenic potential
were commonly used by EPA offices
- pollution prevention potential criterion was especially subject to professional
judgment, based on "the collective experience of the people* involved with the
program
- most weight was given to pollution prevention potential because most of
g^ndid^gi were high-volume and high-toxicity chemicals
System Evalnatkm
Scope of coverage:
• All constituents found in the TRL
Media addressed:
• The 17 target chemicals were selected partially because they are produced in large
quantities and released in large quantities into the various media addressed in the TRI,
including:
water releases
dhduige toPOTWs
on-tite land releases
off-site transfers
Types of targeting crit
Quantity of production and environmental release (total TRI releases and transfers)
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-13-
• Toxicity/luBard (RQs and carcinogenic potential)
• Potential tot reduction through pollution prevention practices
• Individual offices used own targeting criteria that are not specified in the documentation
reviewed
• Targeting criteria used in the 33/50 Program are summarized in Exhibit 1.
Applicability to waste minimization targeting
Pros
• Targeting process incorporated perspective from major EPA offices
• The 33/50 Program's concept of using a 'pilot' phase, Le^ targeting a few high-risk (but
not necessarily the highest risk) candidates and then expanding the program if successful,
may be applicable to developing the waste minimization targeting program.
Cons
The program's targeting process was heavily dependent upon professional judgment and
was not scientifically rigorous.
-------
-14-
ExUbKL Tartetinf Criteria Used la UK 33/50 Profru.
TARGETING CRITERIA
Direct Risfa
Waste volume
Wastevconstituent tenacity
Human toxicity
Ecological tenacity
Constituent concentration or mass
Waste type (e.g., solvents)
Number of generators
Waste management practices
Releases to environmental media
Potential for constituent transport
Potential for cross-media transfer
Potential for human exposure:
residential settings
occupational settings
Potential for ecological exposure
/
S
S
Indirect or Acute RLiks |
Ignitability, corrosivity, reactivity
Ozone depletion potential
Global wanning
1
Otber Tarfetinf Criteria
Hazardous waste management capacity
Twihiricilifcdniinistratrve feasibility
*
PfluuiiiLog/cnforcement factors
COM uvinfi
Other factors
Pollution prevention potential
Canvas* of EPA offices
£
1 Mass released to various media.
2
System used chemicals determined as being of priority by other EPA offices.
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-15-
Rcfioaal Comparative Risk Rankiaf Profraa4
Purpose of the methodology/system
• Analytical framework to systematically measure, compare, and rank environmental
problems to:
help risk managers identify the worst environmental problems and risks;
provide common ground for evaluating the net benefits and costs of different
strategies for reducing or preventing risks; and
share acquired information with the community and general public.
System description
• Although the system provides fairly specific guidance and methods, it allows flexibility in
implementing the approach.
• System has three main components: (1) project planning and start-up; (2) comparative
risk ranking; and (3) risk management
• Comparative risk ranking is divided into four parts: separate rankings of risks to human
health, ecosystems, and quality of life; and an integrated ranking of these three risk areas.
The integrated ranking groups the problems in several tiers of descending risk.
» The system components are summarized in Exhibit 1. The component for assessing risks
to human health, ecosystems, and quality of life is described below.
(1) Assessing risks to human health
• Identify hazards to human health, including:
- target pollutants (limit to pollutants that best represent actual risks)
- relevant exposure pathways
- adverse health effects (cancer and/or non-cancer)
4 Documentation reviewed:
U.S. EPA September 1993. A Guidebook to Comparing Risks and Setting Environmental Priorities.
Prepared by the Office of Policy, Planning, and Evaluation, U.S. Environmental Protection Agency,
Washington, D.C EPA 230-B-93-003.
Vermont Agency of Natural Resources. Environment 1991: Risks to Vermont and Vermonten.
Report by the Public Advisory Committee, The Strategy for Vermont's Third Century.
Contact: Debora Martin (202/260-2699)
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-16-
Exkttt L Components of UK Comparative Risk RaaJdaf Profnni
(1) Project Plumiag mod Start-ap
planning
Projea Manager
Steering Committee
Public Advisory Committee
Technical Wort Groups
Define scope of and goals for the project
Secure support of key staJceboklen
Determine public paruapauoo role
Determine ranking process and who is responsible for each ranking
Determine process to convert ranking results into nsk reductioo strategies and budget 4fisiOM
(2) Comparative Risk Analysis
quality of life
Finalize list of potential risks for ranking
Gather data
Assess residual risks and future risks for hazards to Human beattn, ecosystems,
Address transboundary effect of risks
Pnonuze nsks by ranking tbem qualitatively or quantitatively ^r^n^g on dan availability/beeds
Document nsk analysis method
Identify areas of uncertainty requiring more research/data
Identify eawonmental indicators that will help monitor raks to the future
(3) Risk Mamsfumt
Assess and rank risks for management by:
identifying the most senous/advtrse environmental aodAr health raks;
identifying community values coocenung raks; and
ranking asks in order of seriousness and community values.
Select nsk management factors
Determine nsk reductioo goals
Revise pnonues and reduce risks by:
deeding which risks to address;
developing action ptaas to reduce risks; and
developing ongoing monitoring programs to ensure that raks are reduced effectively.
Propose acuoo piaa — activities to reduce or prevent nsk, a *"«r**"K. and measures of progress
Develop actions to overcome barriers
Docomeoc
process for repeating risk ranking or updating results
-------
-17-
dose-response relationship:
— cancer potency factors for carcinogens
— reference dose and other maximum safe levels for non-carcinogens
Assess magnitude, duration, and frequency of exposure:
identify significant exposure pathways and routes
identify sources, location, timing, and quantity of pollutants released
describe fate and transport of pollutants
estimate concentration of pollutants
define human exposures (identify exposed populations, calculate intakes)
describe and document uncertainties in the data
Characterize potential risks (cancer and non-cancer):
individuals
— populations
Rank potential risks (cancer and non-cancer):
- quantitative factors (e.g., cancer incidence, non-cancer hazard indices)
qualitative factors (severity of effects, quality of data)
— risk ranking exists along spectrum ranging from purely judgmental to
rigorously quantitative
Combine cancer and non-cancer risks:
very general guidance for this step
- non-quantitative or semi-quantitative, depending on judgment and data
availability
- group potential cancer and non-cancer health effects together in matrix
with population data to determine three separate categories of relative risk,
e.g., "catastrophic," "serious," or 'adverse"
~ if desired, an overall health rating can be obtained by aggregating all the
health-effect category rankings, assuming equal weight for all rankings
(2)
Comparing and
ecoloical risks
Determine and define environmental problem:
- isolate/partition problem by geographical area or ecosystem type
- select criteria to evaluate the problem (e.g., area of impact, severity or
reversibility of impact, uncertainty, or "value" of ecosystem)
-------
-18-
Analyze the problem:
- identify stressors (e.g«, chemicals) and establish causal link between
problem and ecological effects
- estimate exposures (e.g., estimate concentrations)
characterize ecological effects
• Characterize risks (using narrative and/or numeric descriptors):
describe each problem area using common evaluative criteria (e.g., severity
of impact is "low")
summarize overall risk across stressors or problem areas to specific
geographical area or ecosystem type
aggregate risks across ail geographical areas or ecosystem types in the study
• Compare and rank risks:
compare ecological risks posed by different problem areas and rank them
into broad categories of relative risk (professional judgement and
consensus-bunting are integral to this process)
(3) Quality-of-Iife assessments
• Identify impacts of pollution on society and determine community values and social
concerns:
spiritual, cultural, aesthetic, religious, ethnk values, or concern for future
generations
environmental justice for diverse populations and lifestyles
economic stability for natural-resource-intensive industries
Ensures that assessment process has broad public support and accurately
represents public concerns
• Define evaluative criteria based on broadly shared pubhc values for evaluating
effects of pollution on quality of life (e.g., no. of people affected, reduced
rrcrratinnnl opportunities).
• Collect and analyze data:
— surveys, questionnaires, census data, public meetings
— analytic methods (e.g,, damage to materials, commercial harvest
health care costs, recreational losses, property-value losses, resource
restoration costs, aesthetic damage)
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-19-
Characterize impacts for all problem areas:
- long-term damage (e.g., ozone depletion in the future will increase health
care costs and damage PVC plastics)
- loss of natural resources (e.g., oil, minerals, wood)
loss of natural ecosystem services (e.g., protection from UV radiation by
the ozone layer, purification of water by wetlands)
Present findings and rank impacts to quality of life using qualitative and/or
quantitative data:
establish integrated ranking of impacts
document process, which may require controversial analytic methods
combine qualitative descriptions of impacts with dollar damage estimates
Analyze future environmental conditions (i.e., incorporate longer-term viewpoint
into the assessment of environmental problems).
System evaluation
Scope of coverage:
• Selects problems from a core list of environmental problems (e.g^ industrial wastewater
discharges to oceans, lakes, and rivers; physical degradation of terrestrial
ecosystems/habitats).
Examines risks from current pollution — whether short-lived or present for centuries — and
effects of today's pollution on the future. Does not try to evaluate risks from tomorrow's
pollution due to the speculative nature of predicting trends.
Media addressed:
• Media are considered to be integrated, not discrete. System evaluates interrelated causes
and effects of pollution to air, water, and land.
Tvpes of targeting criteria used:
• Uses a broad range of targeting criteria, key criteria are summarized in Exhibit 2.
• Human health and ecological risk; adverse effects on quality of life.
• Inadequacies of environmental regulations: rules created by uncoordinated government
actions and risks created by programs that fad to address complex relationships among
environmental problems.
• Economic viability, technological feasibility, and social equity.
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-20-
Data requirement!:
• Qualitative and quantitative data on risks to human health and ecosystems developed or
gathered by the Technical Work Groups using the system, depending on availability and
quality of data.
Public ethics, values, and concerns (e.g., health of children, protection of ecosystems, well-
being of future generations) as expressed by public forums and surveys.
• Use of professional judgment varies considerably during the individual risk rankings,
depending on the quality and availability of necessary data.
Applicability to waste minimization targeting:
Pro
• Broad framework allows flexibility in implementing the approach.
« Integrates judgment and techr.;cal expertise with values and concerns expressed by the
community to determine which risks are of priority. Eliminates public confusion caused by
information that is obsolete, incomplete, or biased to serve a particular viewpoint
Con
System is labor intensive and politically charged. Substantial investment of money and
time necessitates careful planning for the process as a whole, not in segments.
Problems are considered by the system to have interrelated causes and interrelated effects.
May be difficult to adapt the system to discrete problems like RCRA wastestreams at
specific facilities.
Because of the significant latitude in structuring and scoring the criteria, and in reiving on
expert judgement, may get different results in different applications.
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-21-
Exhibtt 2t Targeting Criteria Used in the Regional Comparative Risk Ranking System
TARGETING CRITERIA
Direct Risks
Waste volume
Waste/constituent tenacity
Human tenacity
Ecological tenacity
Constituent concentration
Waste type
Number of generators
Waste management practices
Releases to environmental media
Potential for constituent transport
Potential for cross-media transfer
Potential for human exposure:
environmental settings
occupational settings
Potential for ecological exposure
/
/
/
/
/
/
/
^
Indirect or Acute Risks
Ignitability, corrosrvity, reactivity
Ozone depletion potential
Global wanning
/
/
Otter Targeting Criteria
Hazardous waste management capacity
TtrhrtK*'/administrative feasibility
Permitting/enforcement factors
Cost savings
Other factors
Quality of life
/
/
/
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-22-
OPFTS Ezistiitf Chemicals Screeninf Prograa5
Purpose of tto Mctkodolofy/Systca
• To screen, establish testing requirements for, assess, and develop strategies for managing
risks posed by chemicals currently in production or use."
• To make decisions on regulatory and nonregulatory actions to reduce or eliminate the
possibility of harm to human health or the environment
• Program recently amended to increase effectiveness of its risk management actions, to
increase public involvement and public understanding of the risks of chemicals, to
incorporate the concept of pollution prevention, and to integrate the program with
agency-wide risk reduction priorities.
System Description
• Program composed of three stages: Risk Identification, Risk Evaluation, and Risk
Management
Risk Identification
• Program receives and reviews substantial amount of risk-related information on chemicali
submitted by chemical manufacture^* and other sources in response to TSCA Section 8;
this information includes:
production, use, and exposure data from manufacturers required under Section
8(a);
section 8(c) records of "significant adverse reactions;"
5Documentation reviewed:
"EPA's Existing Chemical Program: An Overview* [no date or source]
U.S. EPA, 1991. RIB Haw-to Guide: RM1 Economic Reports. Regulatory Impacts
Branch, Economcs and Technology Division, Office of Toxic Substances, U.S. Environmental
Protection Agency, Washington, D.C
U.S. General Accounting Office. 1984. Report fry the Comptroller General of the United
States: EPA's Effort* to Identify and Control Harmful Chemicals in Use. Gaithersburg, MD.
GAO/RCED-S4-100.
U.S. EPA. 1986. Tcodc Substances Control Act (TSCA): Report to Conptss for Fiscal
Year 1985. U.S. Environmental Protection Agency, Washington, D.C
Contocfc John Leitzke (202/260-3507)
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-23-
- section 8(d) health and safety studies; and
- section 8(e) substantial risk notifications.
• Other information reviewed by the program includes:
Chemical Hazard Information Profiles;
Substitute Hazard Profiles;
National Toxicology Program Studies; and
monitoring studies, which are reviewed to obtain data on levels of human and
environmental exposure to substances of concern (for example, the National
Adipose Tissue Survey is reviewed to detect TSCA-reiated chemicals in human
tissue; occupational exposure monitoring studies are reviewed to assess human
exposure)
Risk Evaluation
• EPA determines nature and magnitude of risks by analyzing health and environmental
effects data gathered during risk identification activities
• EPA performs chemical-specific risk assessment based on both toxicity and exposure
for formaldehyde, EPA evaluated the two largest populations exposed to this chemical,
i.e., permanent press apparrel manufactures and mobile home owners) and decides on
need for risk management activities
Risk Management
• Two phases: Risk Management One (RM1) and Risk Management Two (RM2)
RM1
• Based on qualitative risk evaluations (i.e., initial screening that relies on readily available
data on potential toxicity and potential exposure) developed for each chemical candidate,
the RM1 committee selects one of four options:
placing chemical on the Master Testing List (Le., a priority testing list) because of
significant data gaps relating to the chemical's hazard or exposure potential;
placing chemical on the Risk Reduction List if it is believed or known to pose
significant risks;
placing chemical on the Regional Activities Track if concern for chemical is limited
to specific geographic regions; or
dropping chemical from the list of candidates for risk management
From chemicals placed on Risk Reduction List, OPPTS selects a subset as potential
candidates for action under RM2 phase, using four criteria:
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-24-
— TSCA jurisdiction;
- potential or known tenacity;
- potential or known exposure to the chemical; and
potential for pollution prevention.
(Only chemical* from the Risk Reduction List enter the RM2 stage.)
The documentation reviewed did not describe what happens to chemicals that are not
placed on the Risk Reduction List
Important poinr. From the documentation reviewed, it appears that there is no standard
system or "cook-book" type approach by which each chemical is evaluated in the risk
management process. Rather, the priority of action for each chemical in the Basting
Chemicals Program (i.e., a chemical's relative "riskiness") is determined on a case-by-case
basis through a review of risk assessments and all relevant information gathered, as
discussed above, and through coordination among various divisions in OPPTS. This
review for each chemical in the RM1 phase takes the form of a 12-week review cycle,
approximating the steps outlined in Exhibit 1.
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•25-
1.
3.
4.
5.
6.
7.
Exhibit 1. The RM1 Project Cyde
The Existing Chemical Assessment Division (ECAD) coordinate the
initial screening process to select chemical candidates for the RMl phase.
ECAD prepares a dossier on the chemical, and, along with three other
OPPTS divisions involved in the project cycle, has a schedule in which to
complete its assigned report that will make up the dossier.
The Economics and Technology Division/Industrial Chemistry Branch
prepares a chemistry report for the chemical under review during Week 1.
The Economics and Technology Division/Regulatory Impacts Branch
prepares the RMl economics report during Week 3. The report is based
on data elements that include volume information, market trends, use
data, producer data, importer data, and substitutes data.
The Economics and Technology DMston/Chemkal Engineering Branch
prepares the engineering report which evaluates worker exposures and
releases into the environment for the chemical during Week 5.
The Health and Environmental Review Division (HERD), during Week
5, prepares the hazard report which reviews the health and environmental
hazards posed by the chemical under review.
The Exposure Evalaatfon Division/Exposure Assessment Branch, during
Week 7, prepares the exposure report which evaluates the environmental
concentrations of the chemical as well as consumer and general public
exposures.
The
Chemical Assessment Division prepares a dossier based on
the reports listed above during Week 9.
RM2
mfcemation is investigated thoroughly so that OPPTS may better its
undentendmg of the chemical's hazard and risks and, more specifically, determine which
portions of a chemical's lifecycle (manufacture, processing, distribution, use, or disposal)
pose risks.
Results of the investigation are used to select a risk management strategy that may consist
of multiple components including:
public awareness campaign;
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- call to industry for voluntary action;
- enforcement of existing regulations;
development of new regulations (e.g., bans, labeling requirements); and
removal of the chemical from further consideration.
Potential risk reduction actions are developed, emphasizing source reduction, responsible
recycling, improved treatment technologies, and improved disposal technologies.
System Evaluation
Scope of coverage:
• Chemical-specific; does not consider wastes or wastestreams specifically.
• Population of potential chemical candidates evaluated in the initial screening of the RM1
phase consists of the approximately 14,000 chemicals found on the TSCA Inventory whose
annual production quantities exceed 10,000 pound*.
• Considers risk from chemical's entire lifecycle (manufacture through disposal)
Media addressed:
• Because program is a case-by-case evaluation of risks posed throughout a chemical's
lifecycle, it appears that multiple media and exposure pathways would be considered
(although they may differ from chemical to chemical).
Statutory. Language in TSCA gives EPA discretion to determine "unreasonable risk"
posed by a chemical to human health or the environment; such a determination is the
trigger mechanism for control action under TSCA. In assessing unreasonable risk, EPA
must consider the following criteria in initial RM1 screening activities:
— human health and environmental hazard;
degree of human and environmental exposure;
- the benefits provided by the chemical's uses;
- the trtilabuity of substitutes for such uses; and
th*eeaoomic consequences of regulating the chemical, considering impacts on
,
economy, small business, technological innovation, the environment, and
pubtic health,
RM2: The four criteria used by OPPTS in moving chemicals from the Risk Reduction
List to the RM2 phase as candidates for risk management activities are:
— TSCA jurisdiction
— potential or known toxicity of the chemical
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-27-
- potential or known exposure to the chemical
- potential for pollution prevention
• Targeting criteria used in the Existing Chemicals Program are summarized in Exhibit 2.
Data Requirements:
• Initial screening of chemicals prior to the RM1 stage utilizes TSCA section 4 test rule
data:
EPA has authority under Section 4 of TSCA to require by rule that chemical
manufacturers .and processors test for various health and environmental effects.
test rules imposed on industry by EPA:
are chemical-specific;
require testing for specific human health and environmental effects;
specify test standards;
impose submission deadlines for test data; and
assign responsibility for testing.
• Based on reviewed documentation, it appears that the reporting process in the RM1
project cycle is data-intensive and requires the various OPPTS divisions to supplement
existing information in order to fulfill certain data requirements.
example: Regulatory Impacts Branch (RIB), in preparing the economics report,
has to base its research on readily available secondary sources and must conduct a
library search for data on the volume, market trends, uses, producers and
importers, and substitutes for the RM1 chemical; examples of sources include:
SRI, Chemical Economics Handbook
SRI, Directory of Chemical Producers
EPA Regulatory Analyses
on-line search of chemical industry business and chemistry data bases
available through DIALOG and STN International
Applicability to Waste Minimization Targeting:
Pros
• Several stages of the program incorporate (he concept of pollution prevention (although
from the documentation available, it's not clear what 'subcriteria' are used to determine a
chemical's potential for pollution prevention).
The chemical targeting system is intertwined
development.
a system of risk management strategy
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Cora
•28-
The profram is designed to address individual chemicals and not wastes, wastestreams, or
industrial establishments.
The program has no standard system of risk evaluation; rather, chemicals are evaluated on
a case-by-case basis by various branches/divisions within OPPTS.
The preparation of the chemical dossiers involves coordination among many branches and
divisions of OPPTS and is time- and resource-intensive. This approach accounts for many
relevant factors and develops consensus on the 'riskiest' chemicals.
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-29-
Criteria Used in the OPPTS ErUtint Chemicals ScrecaiBf Profnai
TARGETING CRITERIA
Direct Risks
Waste volume
Waste/constituent tenacity
Human toxicity
Ecological tenacity
Constituent concentration or mass
Waste type (e.g., solvents)
Number of generators
Waste management practices
Releases to environmental media
Potential for constituent transport
Potential for cross-media transfer
Potential for human exposure:
residential settings
occupational settings
Potential for ecological exposure
/
/
/
/
/
/
/
/
Indirect or Acute Rista
Ignitabiliry, corrosiviry, reactivity
Ozone depletion potential
Global wanning
Other Tarfetinf Criteria
Hazardous waste management capacity
T*chni'""V*dniinistratr**e feasibihrv
Permitting/enforcement fact on
Cot savings
Other bctors
Potential for pollution prevention
Availability of substitutes
Economic impacts of regulating chemical
Benefits of chemical uses
/
/
/
S
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•30-
ladmstrial PoIIntion Prevention Opportunities for toe 1990s*
Pmpoce of UM MetaodoIofy/STStent
* System was a one-time research effort to identify a short list of industries, or industry
segments, that present significant opportunities for waste reduction and pose
environmental problems or risks in terms of the wastes generated.
• More generally, the system was expected to "provide a data base that could be used as
guidance by the EPA for the development of a research strategy for pollution prevention."
System Description
• System is based on subjective, expert evaluation of 12 criteria (see Exhibit 1). Of the 1Z
11 are non-risk-based criteria (listed under "Other factors" in Exhibit 1).
• First, a list of 175 industries was selected from the 1987 SIC publication based on the
selection criteria.
• Second, the 175 SIC-based industries/industrial sectors were shortlisted to a group of 20 by
experts from USEPA, acadf.mia, state pollution prevention programs, and contractor
personnel, again using the 12 selection criteria. The 20 SICs were ranked in priority order
by the experts.
• Finally, the experts "subjectively normalized" the SIC-based industries (aggregating the
multi-segmented SICs) and developed a list of 17 industry segments (see Exhibit 2) for
further research into pollution prevention opportunities. This list is supposed to best
represent the problems and opportunities for pollution prevention.
System Evaluation
Scope of coverage;
• Covers industries/industrial sectors covered by four-digit SIC codes; system does not use
information at the wastestream or constituent level.
Media addrp^wi!
• System does not explicitly consider releases or threat of releases to any media; experts may
or may ad have considered such releases when selecting the priority industries.
Documentation reviewed:
U.S. EPA. Aug. 1991. Industrial Pollution Prevention Opportunities far the 1990s.
Prepared by the Office of Research and Development, U.S. Environmental Protection Agency,
Washington, D.C, EPA/600/8-91/052.
Contact Ivan Licis (513/569-7718)
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1: Ttrfetiaf Criteria Used La tfce l»d«striaJ PoUrto*
Opportunities for the 1990s System (coot)
TARGETING CRITERIA
Direct Risks
Waste volume (pounds)
Waste/constituent toxicity
Constituent concentration
Waste type
Number of generators
Waste management practices
Releases to environmental media
Potential for constituent transport
Potential for cross-media transfer
Potential for human exposure:
environmental settings
occupational settings
Potential for ecological exposure
Indirect or Acute Risks
Ignitabilitv, corrosivity, reactivity
Ozone depletion potential
Global warming
Other Tarfetiitf Criteria
Hazardous waste management capacity
-[><-hnica|/^hninktratTve feasibility
Permitting/fepfbrcement factors
Cost saving
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-32-
1s
Criteria Used la the ladastriaj Polhrioi Pmt»tfc»
Opportsmitfes for the 1990s System (coat)
Other factor*
Importance of industry to society or nation
Large frequency of small to mid-size firms that would benefit
from govt. participation
Significant benefits would be derived from WM
WM would not adversely impact product quality or marketability
WM would offer cost benefits in the long run
WM in this industry would be readily transferable to others
Industry has exhibited interest in WM
WM appears to be technologically achievable
Industry would benefit from govt involvement
Industry would be receptive to WM studies
Industry will not be viable in the long run without massive
changes
Types of targeting criteria used:
• Targeting criteria used in this system are varied; some relate, at least indirectly, to risk,
and others to measures such as the industry's potential for success in pollution prevcntioa.
Targeting criteria were chosen for evaluating or comparing the relative importance, as.
perceived by an expert, of certain industry characteristics/attributes that would relate to
the industry's feasibility for pollution prevention research. Examples of these attributes
include industry size, waste production La terms of tenacity and/or volume, and receptivity
of the industry to innovation.
System relied on professional judgement for factors such as the degree to which each
criterion had to be satisfied and the number of criteria that had to be satisfied
simultaneously by the industry being reviewed.
Data requirements:
Documentation does not explain what data were used by the experts in selecting the 17
priority inJuslry segment*; only "best informed judgement" is mentioned.
App.u'cabilit
Pros
17 industry segments that have expert consensus on their feasibility for pollution
prevention can be used as starting point for identifying specific wastestreams for WM.
Cora
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-33-
Based on available documentation, methodology used to prioritize industries is not well
defined tod does not appear to reproducible.
System cannot be used again without reconvening an expert panel
Neither specific targeting criteria nor data needs are well defined.
Exhibit 2: Priority Industry Segments Identified for
Pollution Prevention Research1
Textile dyes and dyeing
Wood preserving
Pulp and paper
Printing
Chemical manufacture
Plastics
Pharmaceutical
Paint industry
Ink manufacture
Petroleum industry
Steel industry
Non-ferrous metals
Metal finishing
Electronics/semiconductors
Automobile manufacture/assembly
Laundries/dry cleaning
Automobile refinishing/repair
1 Because they are "normalized" from a larger set of industry segments,
17 do not directly correspond to any SIC
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NatfcmaJ Corrective Actioa Prioritizatio* System (NCAPS)7
PnrpoM of UM Metawdolofy/System
• Used to prioritize treatment storage, and disposal facilities (TSDFs) regulated under
RCRA for possible corrective actions.
• Meant to be an internal EPA management tool and is not subject to external review,
comment, or approval
• Incorporates many of the same factors and equations as the Hazard Ranking System
(HRS), but is much simpler and less data-intensive. The equations for pathway scores are
conceptually similar to those in the HRS in that they involve multiplication of release,
waste characterization, and targets related factors, and division by a scaling factor.
However, the factors are scored in a much simpler fashion.
System Description
* NCAPS facility migration score determined by evaluating four routes of potential
contamination:
ground water
surface water
air
cm-site exposure
* Each route of potential contamination scored based on the scores assigned to specific
factors (illustrated in Exhibit 1) that fall into one of the five following categories:
releases
route characteristics
containment
waste characteristics
- targets
• Factor scores are combined using route-specific and scenarkxpecific formulae (e.g.,
formulae dependent on the presence of an observed release or a possible release) and the
resulting, values are normalized to generate route scores between 0 and 100.
"Documentation reviewed:
U.S. EPA. 1991. Environmental Protection Agency Technical Enforcement Support at
Hazardous Waste Sites: National RCRA Corrective Action Prioritization System Guidelines Revised.
Prepared by ICAIR Life Systems, Inc. Revised by PRC Environmental Management, Inc.
RCRA Prioritizatkm System Scoring Summary (no other citation information].
Contact Dave Pagan (703/308-8620)
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- it appears that the scoring process for each route is strongly dependent on the
presence of an observed release.
• Facility migration score is calculated by combining the four route scores in a root-mean-
square equation.
• Chemical- or waste code-specific data requirements used in the scoring process include:
toxicity, based on the Sax rating (i.e., a toxicity rating scheme, that emphasizes
acute toxicity, used in the original HRS)
persistence
waste quantity (based on known or estimated amounts)
• Concentrations of contaminants are not considered. However, waste quantity is
considered (e.g., for scoring observed releases, the amount of waste actually released is
considered).
• Factors in the releases, route characteristics, containment, and targets categories are
generally exposure-related.
System Evaluation
Scope of coverage:
• NCAPS scores and ranks TSDFs covered under RCRA.
• RCRA constituents and wastes.
Media addressed:
• Ground water
• Surface water
• Air
• Direct on-site exposure (Le^ direct physical contact):
- nearby residential population with potential access to a site
- senaitive environmental populations
Tvpes of targeting criteria used:
• In general, NCAPS scoring factors are risk-based, relating to expocure (e.g., observed and
possible releases, route characteristics factors, targets factors, persistence, and
containment) and toxicity Key targeting criteria are «nmm«riy«»H m Exhibit 2.
• Some NCAPS targeting factors are based on permit information. For example:
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- scoring for releases in the surface water route is partially dependent on whether
the discharge (outfall) was permitted and whether permit violations have occurred
at the facility.
in such cases, scoring the observed release factor applies only to facilities with
unpermitted discharges while scoring the possible release factor applies to facilities
with permits.
• Facility history may also affect NCAPS scoring. For example:
for facilities that have removed their hazardous wastes but have past containment
practices ranked less than Very good', scoring for releases uses the past
containment rating
the air route is scored for the possible release factor if residents have complained
of odors or if a facility investigator has noted odors
Data requirements;
• Not especially data-intensh- (relative to HRS)
• In the absence of site-specific information for scoring some factors, the NCAPS guida
supplies default assumptions that can satisfy the data requirements of the scoring
equations.
• Types of data sources that can be used in the NCAPS scoring process:
documentation of releases of hazardous waste or hazardous constituents:
RCRA Facility Assessment (RFA)
Preliminary Review/Visual Site Inspection (PR/VSI)
CERCLA Preliminary Assessment (PA) report
Preliminary Assessment/Visual Site Inspection (PA/VSI) report
waste quantity information:
RCRA Part A permit application
tank capacity
permitted drum storage capacity
other site report information
targets:
quantification of population size is not required
wetlands, streams, rivers, and residential areas as well as their distances
from the facility can be identified in a United States Geological Survey
map
Applicability to waste rnrmmiyjition targeting:
Pros
* Considers RCRA wastes and RCRA constituents.
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Cons
-37-
Facton used for scoring conform to risk assessment requirements.
Unlike other systems such as the HRS, NCAPS does not carry the weight of external
review, comment, or approval
May not be sufficiently quantitative; for example:
population size potentially affected by releases is not quantified
waste characteristics include only waste quantity, toxicity, and persistence; several
other characteristics are not considered, such as bioaccumulation potential and
contaminant concentrations
incorporates multiple assumptions that may be used in the absence of specific
information (for example, when evaluating facilities in communities adjacent to any
Great Lake, the communities are assumed to obtain their residential water supply
from the lake unless there are available data to disprove this assumption)
In scoring an entire facility, NCAPS does consider releases from individual active units,
which could include combustion units.
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•38-
ExaiWt L Factor Catefories and Factors Used la NCAPs Scoriaf
Factor Catefory
Releases to the Environment
Ground water route
observed releases
Surface water route
observed releases
presence of permitted outfalls
presence of permit violations
Air route
presence of observed, unpermitted, ongoing releases
existence of facility operating air permit
permit violations or odor complaints by residents
can contaminants migrate into air?
containment
Route Characteristics (evaluated
when an observed release has
not been scored for a particular
route)
Ground water route
depth to aquifer
net precipitation
physical state
Surface water route
facility location
24-hour rainfall
distance to surface water
physical state
On-site exposure route
site accessibility
Containment
Ground water route evaluates containment properties of:
surface impoundments
containers/ tanks
piles
landfills
Surface water and on-site exposure routes evaluate
containment properties of:
surface impoundments
containers, tanks
piles
landfills
Air route evaluates containment properties of:
closed and open containers and tanks
Waste Characteristics
Tenacity
Persistence
Waste quantity
-------
Exhibit 1 (conttnaed). Factor Catetod* aad Factors Used ia NCAPs Scoriaf
Factors
Targets
Ground water route
ground water use
distance, to intake
Surface water route
surface water use
distance to intake or contact point
distance to sensitive environment
Air route
population (residences, industries, agricultural
lands, other)
distance to sensitive environments
On-site exposure route
distance to residential areas
on-site sensitive environments
-------
Exhibit 2.
Criteria Used I* the National Corrective Actioa Prioritizadoi Sjstea
TARGETING CRITERIA |
Direct Risks |
Waste volume
Waste/constituent toxicity
Human toxicity
Ecological toxicity
Constituent concentration or mass
Waste type (e.g., solvents)
Number of generators
Waste management practices
Releases to environmental media
Potential for constituent transport
Potential for cross-media transfer
Potential for human exposure:
residential settings
occupational settings
Potential for ecological exposure
^
'
/ (mass
only)
/
S
S
S
S
S
Indirect or Acute Risks
Ignitability, corrosrvity, reactivity
Ozone depletion potential
Global wanning
Other Tarfetlaf Criteria
Hazardous waste management capacity
Technical/administrative feasibility
Permitting/enforcement factors
Cost savings
Other factors
Odor complaints by residents
Exposure to agricultural lands
S
S
S
-------
Mixaesota Office of Waste Muutfcmeat
Nonoazardoos Industrial Waste Tarfetlnf and
Foliation Prevention Project1
Purpose of the Methodology/System
• Identify high-risk nonhazardous industrial wastes to target them for pollution prevention
demonstration projects.
• Results from demonstration projects will be used to develop fact sheets and case study
summaries to assist industry in achieving additional pollution prevention.
System Description
• Two hazard ranking (HR) values are developed for nonhazardous wastes managed in
landfills: a Toxicity Characteristic Leaching Procedure (TCLP) value and a Recommended
Allowable Limit (RAL) value. (RALs are established by the Minnesota Department of
Health as standards for safe levels of chemicals in drinking water from private wells.)
1. TCLP HR » annual waste volume * 2 (measured TCLP levei/TCLP regulatory
level for constituent i)
2. RAL HR = annual waste volume * 2 (measured TCLP level/RAL for
constituent i)
• Targeting is based on the TCLP HR and the judged potential for successful pollution
prevention demonstration projects. (Documentation for this system does not explain how
the RAL HR is used.)
System Evaluation
Scope of coverage:
• Industrial nonhazardous wastes managed in landfills, excluding one-time wastes (e.&, from
spill cleanups).
• TCLP constituents.
8 Documentation reviewed:
Nonhazardous Industrial Waste Targeting and Pollution Prevention Demonstration Project,
Interim Report, undated, prepared by the Minnesota Office of Waste Management under USEPA
Solid Waste Management Assistance Grant Project X819717-01-0.
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Medifl/pathwayi addressed:
• Ground water migration pathway.
Types of targetinf criteria used Csee Exhibit 11:
• Risk based: Waste volume plus all of the fate, transport, exposure, and toxicity factors
considered in the development of TC regulatory levels.
• Non-risk based: Potential for successful pollution prevention; extent to which pollution
prevention demonstration projects have already been conducted
Data requirements:
• Waste volume: volume managed in landfills.
• Waste/constituent toxicity: TC regulatory levels; Minnesota RALs in drinking water wells.
• Constituent concentration (in leachate): TCLP results.
• Data are derived from (1) municipal/industrial waste co-disposal applications filed by waste
generators; (2) annual reports filed by co-disposal facilities; and (3) data collected by a
commercial nonhazardous waste landfill.
AoDlicabilitv to waste minimization tarpetirnr
Pros
Cons
Calculations are simple and straightforward.
Only two data elements are needed.
Applicable only to Innrififlrd waste (methodology can probably be adapted to other land
management practices, but not to incineration).
TCLP data may not be available for certain wastes/constituents, or, if available, may not
be easily accessible if methodology is to be implemented by Headquarters.
Method • drsignfd for nonhazardous wastes but can be used for hazardous wastes if data
are available.
Does not account for additional risk via other exposure pathways, risk due to constituents
other than TCLP constituents, or risk to ecological receptors.
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ExhibttL
Criteria Used in the Minnesota Office of Waste Management
Noabazardou Industrial Waste Targeting and Foliation Prevention Project
TARGETING CRITERIA
Direct Risks
Waste volume
Waste/constituent toxicity
Human toxicity
Ecological toxicity
Constituent concentration or mass
Waste type (e.g., solvents)
Number of generators
Waste management practices
Releases to environmental media
Potential for constituent transport
Potential for cross-media transfer
Potential for human exposure:
residential settings
occupational settings
Potential for ecological exposure
/
'
/
/•
/•
/*
Indirect or Acute Risks
Ignitability, corrosivity, reactivity
Ozone depletion potential
Global warming
Otacr Tarfetia* Criteria
Hazardous waste management capacity
Tfchntml/adniinistnitrve feasibility
*
Permitting/enforcement factors
Cost savings
Other factors
^
These are considered indirectly in deriving the measured and regulatory TC levels.
-------
Hazard Ranting Scheme for Waste Scbedoliaf9
Purpose of UK Methodology/System
Numerical scheme developed for ranking, according to hazard, the hazardous wastes listed
in 40 CFR Part 261.
• At the time of development, intended to be used by EPA for scheduling the review of
listed wastes with regard to land disposal restrictions.
System Description
• Relatively ranks wastestreams based on a "Hazard Index" (HI) score; the HI score (1 to
100) is calculated as the product of the wastestream's toxicity and exposure scores.
Wastestreams with multiple constituents are ranked based on the tenacity and exposure
scores of the single highest scoring constituent. ^^
• Toxkity Score:
Scored from 1 to 9 based on chronic toxicity (using acceptable dafly intakes or
ADfc) or on carcinogenicity (using unit carcinogenic risk or UCR). The chronic
toxicity score is adjusted upward by 1 if the constituent score* "high" for acute
toxicity (based on LD& LC^ or
All constituents are scored for toxicity; system provides a data hierarchy to score
all constituents, irrespective of how well they are characterized in terms of toxicity.
Exposure Score:
Scored from 1 to 10 based on a total exposure dose, where
Ek*ewal
Exposure dose calculated for a receptor under a fixed set of environmental
conditions, Le^ releases from a landfill reaching the receptor located 100 meters
from the source.
-JM dose calculated in three steps: (1) calculation of release rates from
laadfii to air, ground water, and surface water, (2) fate and transport modeling of
steady-state concentrations at the exposure point; and (3) calculation of media-
9 Documentation reviewed:
Draft Interim Report on the Development of Numerical Hazard Ranking Scheme. April 19,
1984. Developed for the Office of Solid Waste by Environ Corp.
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-45-
specific human intakes. (The surface water intake is estimated based on
bioAccumulation in fish that is ingested.)
System Evaluation
Scope of coverage:
• System was applied to all listed hazardous wastestreams in 40 CFR Part 261, Le., F, K, U,
and P wastes.
• A composition profile was developed for each wastestream based on only those
constituents in Appendix Vn of 40 CFR Part 261.
• Documentation notes that the system was applied to approximately 450 wastestreams.
Media addressed:
• System is designed to provide rankings based on releases to air, surface water, and ground
water.
Types of targeting criteria used:
• Targeting criteria include initial concentration of wastestream constituents and their
toxicity. Initial concentrations dictate the release into various environmental media, and
hence, the ultimate exposure dose. (See also Exhibit 1.)
Data requirements:
• System documentation provides a fair amount of detail on data sources, and methods for
estimating some of the required parameter values.
• For waste composition information, system relied heavily on (1) data compiled for EPA's
Risk-Cost Analysis Model and other "best available data" (for F and K wastes); and (2)
assumptions about 'typical upperbound concentrations at which commercial chemical
products may become wastes" (for U and P wastes).
• For toxicity information, system relied first on available EPA ADIs and UCRs, and then
on open literature, using human and animal toxicity data to derive ADIs and UCRs.
Applicability to wnte nrfniTniriition targeting:
Proa
• System directly applicable to RCRA wastestreams.
Cons
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-46-
Rankinf k based on a fixed set of exposure conditions (Le^ assumptions regarding releases
from a landfill and the location of the receptor).
Uses certain conservative or "worst-case" simplifying assumptions for the fate and transport
modeling (e.£, constant wind direction towards receptor, no decay of constituents in
surface water).
May not be as applicable for wastes destined for incineration because rankings appear to
be driven by the ground-water pathway.
Limited in targeting criteria, e.g^ does not consider ecological tenacity, waste volume.
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•47-
ExttUt L Tartednf Criteria Used in Use Wute Scheduling Sen-en*.
TARGETING CRITERIA
Direct Risk!
Waste volume
Waste/constituent toxicity
Human toxicity
Ecological toxicity
Constituent concentration or mass
Waste type (e.g., solvents)
Number of generators
Waste management practices
Releases to environmental media (e.g., simulated
releases from waste management units)
Potential for constituent transport (based on
physico-chemical properties)
Potential for cross-media transfer
Potential for human exposure:
residential settings
occupational settings
Potential for ecological exposure
/
/
/•
/•
/«
Indirect or Acute RiJ.ks
Ignitability, corrosivity, reactivity
Ozone depletion potential
Global warminf
Other Tartednf Criteria
Hazardous waste management capacity
Ttdsnical/Miminiittntive feasibilitv
y«i'j*i»iiHflfenforcement factors
Cott saving*
Other factors
These are considered indirectly in modeling the exposure dose.
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Risk-Based Enforcememt Strategy (RBES)
10
Purpose of UM Methodolofy/Systeia
• To rank sites for enforcement activities and assess the effectiveness of environmental laws in
reducing risks at these sites.
System Description
• System developed through a cooperative effort between the Office of Research and
Development (ORD) and the Office of Enforcement (OE).
• Ranks facilities based on a Chemical Ranking Factor (CRF), compliance history, and
environmental vulnerability.
• CRF is essentially the summation of the toxicity-weighted annual chemical releases at a
facility. (EPA selected this over a more complicated approach to calculate the CRF whi a
instead relied on exposure-adjusted releases.)
• To score the CRF, system £ . selects facility or industrial sector to be ranked, and retrieves
release information, on a faculty-specific basis, from three EPA information systems:
- Aerometric Information Retrieval System's Facility Subsystem (AFS-AIRS) - a data
base that contains data on major industrial, commercial, and municipal facilities
required to report their emissions to EPA under the Clean Air ACL AFS-AIRS
contains data primarily from SIC code 4911 (coal-burning and other power plants).
Permit Compliance System (PCS) - an inventory for the National Pollutant Discharge
Elimination (NPDES) program that includes permit and compliance information on
regulated facilities (Le,, facilities discharging wastewater into navigable waterways).
PCS contains data primarily from SIC code 4952 (sewage systems).
~ Toxic Release Inventory (TRI) contains data relating to manufacturing (SIC codes
2000-3999); facilities with at least 10 employees and that manufacture, process, or
import at least 25,000 pounds of a TRI-listed chemical must file TRI reports. TRI
-primarily contains data from SIC codes 2000-3999 (manufacturing).
These three information systems contain data about three different types of facilities;
however; there a some overlap. In using the system, total TRI water and total TRI air
releases are compared to those from PCS and AFS-AIRS, respectively, and the larger value
for
10
Documentation reviewed:
Risk-Based Enforcement Strategy II, Draft Report Submitted to the Exposure Assessment
Group, Office of Health and Environmental Assessment, U.S. EPA by Versar, Inc, September 30,
1993.
Contact: Karen Hammerstorm (202/260-8919)
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•49-
• Second, the release data is linked to a tenacity data base, and each chemical is assigned a
chemical toritity score equal to the inverse of its reportabie quantity (RQ).
• Third, each chemical release is multiplied by the chemical-specific toxicity score; chemical
scores for a given media are summed to yield a media score.
• Finally, all media scores for a facility are summed to yield a facility score.
System Evaluation
Scope of coverage:
• Covers all facilities for which release information exists in the AFS-AIRS,. PCS, and TRI
national data bases.
• Covers chemicals that have EPA-assigned RQs, or have sufficient tenacity information that an
RQ could be derived for purposes of this system.
Media addressed:
• System is designed to provide rankings based on releases to air, surface water, and land, both
for on-site releases and off-site transfers
Types of targeting criteria used:
• Targeting criteria include annual chemical releases at facilities and the tenacity of the released
chemicals, both of which are incorporated into the CRF. (Although "compliance history" and
"environmental vulnerability" are also mentioned in the documentation as facility-level
criteria, no mention is made of how they are incorporated into the final facility ranking.)
Data requirements:
• Uses release information available in the AFS-AIRS, PCS, and TRI national data bases.
• Uses chemical tenacity information stored in the tenacity data base developed specifically for
this system.
Applicability to waste mfnimirytion targeting:
Pros
• System may be applied to sources such as hazardous waste sites, waste disposal facilities, or
manufacturing facilities; uses release information from numerous data bases that cover several
different types of facilities.
Cora
• System appears relatively new, not well documented, and not sufficiently tested.
• Relies on only tenacity and annual releases and does cot directly address exposure.
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-50-
L Tarfctiaf Criteria Used ia Use Risk-Based Enforcement Strategy.
TARGETING CRITERIA |
Direct Risks |
Waste volume
Waste/constituent tenacity
Human tenacity
Ecological toxicity
Constituent concentration or mass
Waste type (e.g., solvents)
Number of generators
Waste management practices
Releases to environmental media
Potential for constituent transport
Potential for cross-media transfer
Potential for human exposure:
residential settings
occupational settings
Potential for ecological exposure
— 1
/
/
S
S
Indirect or Acute Risks
Ignitability, corrosivity, reactivity
Ozone depletion potential
Global warming
Other TarfetiBf Criteria
Hazardous waste management capacity
Tiwhnidl/adniniistrative feasihiliry
Cost savings
Other factors
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Soperftuid Hazard Ranking System11
Purpose of the Methodology/System
• Used by EPA's Superfund program to assess the relative threat associated with actual or
potential releases of hazardous substances.
• Primary screening tool for determining whether a site is to be included on the National
Priorities List (NPL), which contains EPA's priorities for further investigation and possible
remedial response action under Comprehensive Environmental Response, Compensation,
and Liability Act (CERCLA).
System Description
• HRS site score determined by evaluating four pathways:
ground water migration
surface water migration
air migration
soil exposure
• Each pathway score based on a number of subcriteria, called 'factors', grouped into three
primary criteria called 'factor categories':
- Likelihood of release (for the soil exposure pathway, likelihood of exposure);
waste characteristics; and
targets (e.g., the people or sensitive environments affected by the release).
• Factor category scores are determined from evaluation of factors. They are multiplied
together and then normalized to 100 points to obtain pathway score.
• Factors with larger associated relative threats may carry greater weight and wiH more
strongly affect final scores (for example, in the targets factor category, the HRS gives
11 Documentation reviewed:
U.S. EPA. 1992. Hazard Ranking System Guidance Manual. Hazardous Site Evaluation
Division, Office of Sotid Waste and Emergency Response, U.S. Environmental Protection Agency,
Washington, D.C, EPA S40-R-92-02&.
U.S. EPA. 1990. The Revised Hazard Ranking System: Background Information.
Hazardous Site Evaluation Division, Office of Solid Waste and Emergency Response, U.S.
Environmental Protection Agency, Washington, D.C, Publication 9320.7-03FS.
Contact Janet Grubbs (703/603-8833)
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greater weight to actual exposures, such as to people whose drinking water is
contaminated and to actual contamination of the aquatic human food chain).
Site score is obtained by combining the four pathway scores in a root-mean-square
equation:
root-mean-square approach gives more weight to higher scoring pathways
scores range from 0 to 100
score of 28.50 or greater qualifies site for the NFL.
Exhibit 1 is a summary of the main criteria and subcriteria (Le., factor categories and
factors) considered in the four HRS pathways, and is organized by factor category.
Factors in the HRS utilizing chemical-specific data in the scoring process:
human toxicity factor (in the waste characteristics factor category), intended to
represent the relative potential of a substance to cause adverse health effects,
based on three measures of toxicity in a tired approach:
cancer, based on cancer potency factors and weight-of-evidence (ED10 can
also be usec
noncancer effects of chronic exposure, based on verified Reference Doses
(RfDs)
acute toxicity, based on LD^^LC^Q data
- hazardous waste quantity factor (in the waste characteristics factor category) based
on hazardous constituent concentration data, mass of waste as deposited, volume,
and/or surface area of the source.
several other chemical-specific waste characteristics factors include: persistence, .
mobility, bioaccumulation, ecological toxicity
Almost all factors in the likelihood of release and targets factor categories are exposure-
related. For example:
observed release factor (in the likelihood of release factor category) based on a
measured concentration of a hazardous substance in the environment to which a
population is potentially exposed
factor category utilizes factors related to actual population exposures, which
arr depicted in Exhibit 1.
System Evalaatioi
Scope of Coverage;
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-53-
Constituent* HRS considers CERCLA hazardous substances as well as other pollutants
Or <*
hazardous substances defined in CERCLA section 101(14), which references
substances specifically listed under other Federal laws.
"pollutants or contaminants" broadly defined in CERCLA section 101(33) and
could include any constituent reasonably anticipated to be harmful to human or
ecological health; EPA determines on a case-by-case basis which substances fall
within definition.
available chemical data bases used in' scoring (Supetfund Chemical Data Matrix)
focus on approximately 300 commonly encountered hazardous substances
• Sources: HRS considers "any area where a hazardous substance has been deposited,
stored, disposed, or placed, plus those soils that may have become contaminated from
hazardous substance migration", such as:
above-ground and below-ground tanks
contaminated soil (excluding land treatment)
drum*
landfarms/land treatment
surface impoundments
Media/pathwavs addressed:
• Ground water migration pathway
• Surface water migration pathway (overland/flood and ground water to surface water
components)— divided into three threats: drinking water, human food chain, and
environmental
• Soil exposure pathway— divided into two threats: resident population and the nearby
population
• Air migration pathway
of t
Tv
criteria
• The HBif acora a site using criteria based, on human, environmental, and resource risk in
multiple pathways. Key criteria in the HRS are summarized in Exhibit 2.
Data Requirements
• All available site information, which may include information from Preliminary Assessment
and Site Inspection reports, should be collected by scorer and should include data on:
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-34-
7 sources or hazardous substances at the site
— the hazardous substances themselves and their quantities
- whether there are observed releases
major targets (e.g., populations, municipal wells, fisheries, sensitive environments)
located near the site
whether any targets are exposed to actual contamination.
• Scorer should avsess whether available information is sufficient to document all the HRS
factors relevant to the site's score; additional data collection may be necessary to gain a
better understanding of those factors critical to the site's HRS score.
• HRS accommodates various levels of data quality, and often provides default options when
complete data is not available.
• Scorer should develop selective scoring strategy because it is usually not feasible to gather
data for and score every factor in every pathway, and should consider the following:
— a primary goal of HRS scoring is to determine whether or not the site is eligible
for the NFL, Le., if site score is greater than 2&50
- sites often pose significant threats in only one or two pathways
- higher-scoring pathways exert a proportionately greater influence on the site score
than do lower-scoring pathways.
Applicabilitv to Waste Minimisation Targeting:
Pros
HRS is comprehensive, e.g^ addresses numerous criteria in four pathways, and thus may
accurately assess threats associated with releases of hazardous substances (for example,
HRS considers direct contact of people with contaminated soils, contamination of aquatic
food chain, three broad types of human toxicity, potential for air contamination, sensitive
environments that include wetlands, endangered species, and environments designated by
various Federal and State agencies).
HRS is the most carefully developed, thoroughly peer-reviewed, and widely applied of the
targeting tchcanra to be reviewed under the waste minimization targeting effort. In the
ill 111ri|iarriHl stage of the HRS, components of the model were reviewed by the Science
AdvHoty Board (SAB). Additionally, the final version of the HRS model is currently
under review by the National Academy of Sciences. Carrying the weight of these reviews
as wefl as public notice and comment, the HRS enjoys more regulatory and scientific
credibility than the other schemes.
HRS is considered to be a screening tool, not a detailed risk assessment, and is thus an
appropriate targeting strategy.
-------
Cora
•55-
In 'full' form, HRS is relatively complex and data-intensive.
HRS is site-oriented, not waste-oriented; the overall scores relate more to releases from
sites and threats to nearby receptors. Some components of the HRS, however, may be
useful to waste minimization targeting. For example, the waste characteristics factors, e.g.,
toxicity and persistence, can be used for scoring waste streams as generated.
HRS is not specifically designed for generators of hazardous wastes.
HRS is not designed to consider combustion or other treatment processes with respect to
"quantitative release." An observed release has to be attributable to a source on the site
in order to be scored; combustion and other active treatment units are not regarded as
sources in the HRS.
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-56-
Pathway
Ground Waler
Migration Pathway
Exhibit 1. Hazard RanUng Systea: Factors and Factor Categories
Factor Categories
Likelihood of Release
Observed Release
or
Potential to Release
Containment
Net Precipitation
Depth to aquifer
Travel time
Waste Characteristics
Toxicity/Mubility
Hazardous Waste Quantity
Targets
Nearest Well
Population
Resources
Wellhead Protection Area
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-57-
Pathway
Factor Categories
Likelihood or Release
Waste Characteristics
Targets
Surface Water
Migration Pathway
iood Component
Qhterved Release
Of
Potential to Release
By Overland Row:
Containment
Runoff
Distance to Surface Water
By Flood:
Containment
Mood Frequency
(ifotuul Water to Surface Water
Component
Observed Release
or
Potential to Release
Containment
Net Precipitation
Depth to Aquifer
Travel Time
Drinking Water Threat
Toxicity/Persistence/Mobilily
Hazardous Waste Quantity
Human Food Chain Threat
Toxicity/Persistence/Mobility/
Bioaccumulation
Hazardous Waste Quantity
pnvjronineqial Threat
Ecosystem Toxicity/Mobilily/
Persistence/Bioaccumulalion
Hazardous Waste Quantity
Prinking Water Threat
Nearest Intake
Population
Resources
Human Food Chain Threat
Food Chain Individual
Population
Environmental Threat
Sensitive Environments
-------
Inhibit 1 (continued). Hazard RankiBfiSystent: Factors nod Factor Categories.
Pathway
Factor Categories
Likelihood of Release
Waste Characteristics
Targets
Soil [Exposure
Pathway
Air Migration
Pathway
Pyjdf ni Population Threat
Otarved Contamination
Nearby Population Threat
Attractiveness/Accessibility
Area of Contamination
Observed Release
or
Potential to Release
Gas
Gas Containment
Gas Source Type
Gas Migration Potential
Paniculate
Partkuiate Containment
Paniculate Source Type
Paniculate Migration
Potential
Resident Population Threat
Toxicity
Hazardous Waste Quantity
Nearby Ponulation Threat
Toxicity
Hazardous Waste Quantity
Toxicity/Mobility
Hazardous Waste Quantity
Resident Population Threap
Resident Individual
Resident Population
Workers
Resources
Terrestrial Sensitive Environments
Nearby Population Threat
Population Within 1 Mile
Nearby Individual
Resources
Population Within 4-Mile Radius
Nearest Individual
Sensitive Environments
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-59-
ExkiWt 2. TarfetiBf Criteria Used la the Hazard RaaJdnf System.
TARGETING CRITERIA
Direct Risks
Waste volume
Waste/constituent toxicity
Human toxicity
Ecological toxicity
Constituent concentration or mass
Waste type (e.g., solvents)
Number of generators
Waste management practices
Releases to environmental media
Potential for constituent transport
Potential for cross-media transfer
Potential for human exposure:
residential settings
occupational settings
Potential for ecological exposure
/
/
/
/
/
/
/
^
/
/
^
Indirect or Acute Risks
Ignitability, corrosivity, reactivity
Ozone depletion potential
Global wanning
Other Tarfetinf Criteria
Hazardous waste management capacity
Tfchnidl/adininistrative feas>hilirv
•
remitting/enforcement factors
Cost savings
Other factors
Resource exposure (e.g., if aquifer
being evaluated is used for drinking
water or irrigation)
Wellhead Protection Areas
/
V
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-60-
Toxka Release lavcatory Eaviroaawatal Indicators
Purpose of tiw Mctaodolofy/Systeni
• Proposed by EPA Office of PoUution Prevention and Tories (OPPT) for use in tracking
changes in human health and environmental risks posed by chemicals released to the
environment.
• Will "allow EPA to measure its successes in implementing environmental protection and
pollution prevention programs, and to formulate strategic plans for improving the course
of future environmental progress."
System Description
• Calculates a national index of chronic health risks to human populations based on
estimated exposures to environmental releases of TRI chemicals. Comparison of indices
from year to year reveals whether risks are increasing or decreasing over time.
• Each facility-reported rele:. of each TRI chemical to each environmental medium is
weighted by tenacity, exposure potential and the size of the exposed population to
produce a risk-related "subindex" Bask step*:
Determine location of TRI-repoiting facility or facility that receives its wastes;
Using a geographically-indexed database, match geographic and demographic
features to facility location to derive site-specific environmental (e.g., stream
velocity) and exposure (e.g., number of people using private drinking water wells)
information for subsequent modeling;
Estimate environmental concentrations at exposure points using TRI-reported
release and generic and site-specific environmental and exposure information as
input to mathematical models;
From the exposure concentration, calculate dose using standard exposure
assumptions;
1.
2.
3.
4.
5. Assign exposure score based on calculated dose and degree of uncertainty
12 Documentation reviewed:
U.S. EPA, May 22, 1992, Toxics Release Inventory Environmental Indicatory Methodology,
Draft Report prepared for the Office of Pollution Prevention and Toxics by Abt Associates, Inc.
Contort: Loren Hall (202/260-3931)
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6. Multiply exposure score by size of exposed population and adjust for uncertainty;
and
7. Multiply result by tenacity score reflecting chemical's potency and weight-of-
evidence classification.
• Subindices for about 500,000 combinations of facility, chemical, and medium are summed
to derive the national index.
• Five types of direct TRI releases (or "media") covered: air releases, surface water releases,
on-site land releases, discharge to POTWs, and off-site transfers. The methodology for
incorporating exposure into the indicator considers cross-media transfers also.
• Methods for estimating exposures to different types of releases vary significantly in level of
rigor and use of generic vs. site-specific data.
System Evalnatioa
Scope of coverage:
• The TRI indicator includes all facility-reported releases of TRI chemicals (about 240-320
chemicals) to the environment, except those meeting certain criteria for exclusion.
• Based on certain criteria, some TRI chemicals proposed to be excluded from the TRI
indicator (e.g., non-TSCA chemicals, chemicals with no reporting or zero reporting)
Media/pathways addressed:
• Air releases:
Inhalation exposure
• Surface water releases:
Drinking water (surface water)
Fish ingestkm
Dischaxfe to POTWs:
- Drinking water (surface water)
Fun ingestion
- Treatment:
Volatilization/inhalation
— Sludge management:
Route depends on management practice
On-site land releases;
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Dnnkini water (ground water)
Volatilization/Inhalation (actually reported under TRI air releases and handled
aloof with other air releases)
• - No release assumed if management is in a RCRA Subtitle C unit
• Off-site transfers:
Incineration
Inhalation
Land management
Volatilization/inhalation
Drinking water (ground water)
No release assumed if management is in a RCRA Subtitle C unit
• Cross-media transfers considered. For instance, on-site releases include releases to
landfills, surface impoundments, land treatment units and underground injection. To
evaluate exposure from these releases, the indicator methodology modeb •cross-media'
transfers also, e.g., leaching from landfill to groundwater and volatilization. For releases
to POTWs, the methodology models volatilization and adsorbtion to and subsequent
volatilization from sludge.
Types of targeting criteria used face Exhibit n:
• Overall measure: chrome health risks to human populations (not to individuals)
• Incorporates standard risk assessment factors and methods
Data requirements:
Constituent toxicity (all endpoints specified in SARA Section 313): from IRIS; HEAST;'
structure/activity relationships and other methods
• Releases to environmental media: from TRI database
• Estimation of environmental concentrations and size of exposed population:
- Site-tprdfic data needs and sources:
FaciHty location from TRI
Geographically-indexed environmental and exposure information from
"BGREACH* file, a SAS file developed for this project and housed on the
EPA
RCRA regulatory status from TRI database, RCRIS
— Generic inputs/default values derived using professional judgment and information
from other EPA studies
Applicability to waatg minimiMtion targeting:
Pros
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System *
to be used in tracking si
in pollution prevention and therefore
Cons
appropriate for use in waste minimization/pollution prevention targeting.
Cross-media transfers are covered.
Subindices can be calculated to evaluate contribution to national index of individual
chemicals, regions, states, industries, or release pathways.
Method is based on standard risk assessment paradigm and is relatively rigorous.
Very difficult to use system to track only hazardous waste-related releases and risks
without major programming changes:
Waste management in Subtitle C units is excluded (except for on-site incineration
in Subtitle C units, which is handled along with other on-site air releases and may
be difficult to separate out).
Unclear whether incinerator ash management is covered at all
Methods for calculating exposures from land-based waste management are relatively
unsophisticated and use mostly generic inputs (waste concentration calculated by dividing
TRI-reported releases by industry-wide average annual waste generation; leachate
concentrations using a partitioning approach; ground-water concentrations using a generic
dilution and attenuation factor (DAF)).
Ecological risks not covered, but are proposed to be added.
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Exlribtt L Tazptiaf Criteria Used im tbe TRI ExvirouMital IwUcaton MrtbodoJofy.
TARGETING CRITERIA
Direct Risks
Waste volume
Waste/constituent toxicity
Human toxicity
Ecological toxicity
Constituent concentration or mass
Waste type (e.g., solvents)
Number of generators
Waste management practices
Releases to environmental media
Potential for constituent transport
Potential for cross-media transfer
Potential for human exposure:
residential settings
occupational settings
Potential for ecological exposure
,
^
^
1
1
•
^
/
^
Indirect or Acute Risks
Ignitability, corrosivity, reactivity
Ozone depletion potential
Global wanning
Otber TarfetiBf Criteria
Hazardous waste management capacity
TftchnKil/idniimstrative feasibility
Cost savings
Other factors
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Toxks Release Inventory (TRI) Risk Screeaiaf Guide13
Purpose of tbe Methodology/System
• TRI • a national computerized data base containing data submitted by industry on the
hazardous chemicals manufactured, used, stored, processed, or released to air, surface
water. POTWs, or land.
• The TRI risk screening guide (system) is a framework for initial, screening-level analyses
to identify, from among all TRI submissions for a particular geographical area or
community, those risk scenarios, facilities, or chemicals for follow-up investigation.
System Description
• Qualitative or relative expression of risk (i.e., high, moderate, or low) derived by
evaluating various chemical-specific and site-specific factors. These factors, listed in
Exhibit 1, are evaluated in three different components that comprise the system:
Toxicological potency. Incorporates measures of both the nature of the adverse
human health or ecological effects (hazard identification) and the magnitude of
these effects at specific exposure levels (dose-response relationships). Uses readily
available EPA estimates of lexicological potency, which include reportable
quantities (RQs), threshold planning quantities (TPQs), cancer potency factors,
reference doses (RfDs), and ambient water quality criteria (AWQQ.
Exposure evaluation. Qualitatively evaluates data for two key aspects of exposure
— plausible exposure pathways and potential environmental levels — based on site-
specific and chemical-specific factors. The potential environmental levels refer to
the characterization of amounts and concentrations of a chemical in the
environment at points' of contact with populations of interest.
~ Risk characterization. Qualitatively combines the toricological potency assessment
and the exposure evaluation (Le., in terms of relative probability of harm such as
high, moderate, or trivial) to identify facilities, populations, and chemicals that
warrant further investigation. Produces a profile of scores for each medium.
13
Documentation reviewed:
U.S. EPA. 1989. Toxic Chemical Release Inventory Risk Screening Guide (Version 1.0),
Volume I: The Process. Prepared by the Office of Toxic Substances, U.S. Environmental
Protection Agency, Washington, D.C, EPA 560/2-89-002.
-------
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•67-
Systea
Scoe of covene;
Constituent: Covers over 300 chemicals and/or chemical categories (i.e., components of
mixtures) that are subject to TEH reporting.
Releases." Covers releases from facilities:
classified in Standard Industrial Classification (SIC) codes 20 through 39; and
that employ the equivalent of 10 or more fuU-time individuals; and
that manufacture (including import) or process any of the Section 313 chemicals or
chemical categories in amounts greater than 75,000 pounds in 1987; 50,000 pounds
in 1988; or 25,000 pounds in 1989 and subsequent years; oj who use any listed
chemical or chemical category in any other way (other than manufacture) in
amounts greater than 10,000 pounds in 1987 and subsequent years, including
processing or importing the listed chemical or chemical category.
Only routine releases (i.e., releases occurring during normal industrial operation)
are addressed; "burst" or accidental, rapid releases are not addressed,
Media addressed;
• All releases to:
air (fugitive and point-source)
land (injection, landfills, surface impounding, landspreading)
surface water and publkry owned treatment works (POTW)
Types of jargetiflf criteria used:
• Targeting based on human health and ecological risks, which in turn are assessed based on
site- and chemical-specific factors listed in Exhibit 1.
» Local, Stue, and Federal Itws, public concern, control technologies, economics, and
politics «w Additional criteria that can be used in the risk-management phase to fully
characterize rate from routine TRJ releases,
Exhibit 2
the key targeting criteria used in this system,
Data needed for the screening are less detailed than data required for a formal risk
assessment,
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• Relevant data are obtained from the TRI data base and from appendices to the risk
screeninj guide.
• Supplementary information is required to fully characterize risks for TRI releases and to
put these risks into perspective with those from other chemical releases in the community.
Applicability to Waste Minimisation Targeting:
Pros
Cons
System is a screening-level tool that conforms with the risk assessment paradigm.
System documentation provides toxicity indices for TRI chemicals and methods to
interpret and use TRI releases data.
System is designed around TRI data, which does not cover all chemicals, wastestreams, or
industrial sectors. For example, not all industrial releases of listed chemicals are covered
by the TRI reporting requirements (facilities with fewer than 10 employees, industries
outside the specified SIC codes, and industries using less than the threshold quantities).
Release data is difficult to use for exposure modeling. Releases reported by industry are
summary data reported in pounds per year, no specific information on frequency, duration,
concentration, or peak release is required. Reporting form does not specify location of
point sources or identity of chemicals comprising mixtures and compound classes.
-------
-69-
ExJUMt 2: Tirjrtinf Criteria Used ia the TRI Risk Screening Guide
TARGETING CRITERIA
Direct Risks
Waste volume (pounds)
Waste/constituent toxicity
Human toxicity
Ecological toxicity
Constituent concentration
Waste type
Number of generators
Waste management practices
Releases to environmental media
Potential for constituent transport
Potential for cross-media transfer
Potential for human exposure:
environmental settings
occupational settings
Potential for ecological exposure
/
;
/
/
s
Indirect or Acute Risks
Ignitability, corrosrvity, reactivity
Ozone depletion potential
Global wanning
Other Tarfetinf Criteria
Hazardous waste management capacity
Technical/administrative feasibility
» . . , f f
Permitting/enforcement f actors
Cost savings
Other factors
s
-------
-------
APPENDIX 8
HRS HAZARD DATA AND PATHWAY SCORES FROM
SUPERFUND CHEMICAL DATA MATRIX
-------
-------
Exhibit I HRS Hund D»U u>d falhwiy Score* for Halo|ca*tc4 Orfuuci
CKwic.l
1. .1,2-lclnchloroeduM
. .l-lncUoroclkuB
. .2.2-lclncUafoctkuK
. ,2-lnchlofMlk*M
. .2-lricUoro-l.2.2-Uifluofoclfaiac
. -Ackloroelhue
•* Acklomclhy ICAC
,2.3-UicUonpnptDC
,2,4.5-telncklMkcaicaa
,2.4-lncUoraboaoM
.2-*braMMduM
,2-Mnao-)-ckUnfrafta»
1.2-tNrMiMBortmn
M-fehloraclhylcM
l.2-«cttan»n|w»
l,3-4kklorobcauac
l.3-«cUofOprapcM
l.4-«cUomt«MCM
2.1.4.6-leincklwopbcwtl
2AS-TP (Sil«ci)
2,4.5-utcUoicfihcaul
2.4.6-lricMonyhCMl
2.4- D
2.-J-*cUorot*e»ol
2-chionaKlkyloiirue
2-cUoraufWukM
2-cMnroiftnil
3.1-4kUon*M«i4fec
KMIfUlMIM
•MMftahyloM
KMtMttyfc
iCAlOMt
•caUvilriU
i.f*H|i>MiiM
•cnlttt
•cryUvU*
•cry tic KM
•crylaiulnk
•llyl cUotide
•tfiu BHC
gauBoei*
••iliac
Mrthiaccae
HRS FMhwiy Scorci
CAS No Tosicily OW Mob Air Mob PeruM HCBwMCC EavBiouc Ecoloi OW Air
(Ton/Mob) (Toi/M.*)
610-20-6
7I-SS-6
7f-J4-S
7»~00-5
74-IJ-l
7S-S4-J
7S-JS-4
96-l»-4
tJ-W-S
120-n-i
iM-m-4
M-II-I
W-JO-I
IO7-06-2
ISfr-40-S
7S-I7-S
MI-7S-I
542-71-6
106-46-7
M-40-2
9J-72-I
95-9J-4
11-06-2
94-7J-7
I20-U-2
ic»-i»-i
tl-Ji-7
M-S7-I
»l-»4-l
U-32-*
»»-«*-«
7J-07-0
67-44-1
7J-«$-«
«*-U-2
107-02-1
79-06-1
79-10-7
107- 11- 1
I07-OS-I
1I9-M-6
7664-41-7
62-51-1
120-12-7
IOOE<02
IOOE-OI
IOOE«OI
IOOE<01
I.OOEKM
I.OOE«OI
NV
I.OOE«02
I.OOBHM
I.OOE*02
I.OOB>04
I.OMMM
| OOB«OI
I.OOB«02
NV
IOOE*01
NV
I.OOE*O4
IOOE«OI
IOOE«02
l.00fi«02
iooE«oi
I.OOE«OI
I.OOE*02
I.OOB*03
IOOE*O4
I.COE«OI
I.OOB<02
I.OOB«02
IOOE«OI
NV
IOOE*01
100E«OI
I.OOE«02
I.OOE*01
I.OOE*04
I.OOE*0}
I.OOE«01
I.OOEKU
NV
NV
J OOE<02
IOU1:*00
IOOE*00
IOOEKM
IOOE«00
I.OOEHU
I.OOE*00
IOOE>00
NV
» NV
100k*00
lOOEtOO
I.OOE-O4
IOOE«00
I.OOE'OO
I.OOE>00
I.OOE*00
1 OOE<00
I.OOE«00
NV
I.OOEtOO
200E-OI
IOOE<00
I.OOE*00
I.OOE«00
| OOE*00
I.OOE«00
NV
IOOE«00
l.00fi«00
I.OOE03
1 OOlitOI
1 OOEtOI
lOOEtOO
1. OOEtOI
NV
NV
NV
1 OOEtOI
I.OOEt02
1. OOEtOI
NV
NV
1 OOEt02
lOOEtOO
NV
1 OOEtOI
I.OOEt02
1 OOEtOI
I.OOEt02
1. OOEtOI
I.OOEt04
1 OOEtOI
1. OOEtOI
I.OOEt02
I.OUEt02
1. OOEtOI
NV
l,OOEt02
NV
I.OOEtO4
NV
1. OOEtOI
I.OOEt02
JOOEtOO
I.OOEtOO
I.OOEtO4
1. OOEtOI
NV
I.OOEtO2
NV
NV
lOObtOI
I.OOE>04
1 OOEtQ4
1 001-.-00
1 Ult-OI
1 DUE 01
1 OOUH)I
1 001: 02
1001: .01
NV
00b.«0
OOktOO
OOEtOO
OOEt04
OOEtO2
.OOE-OI
.OOEt02
NV
1. OOEtOI
NV
IOOEt04
1 OOE-OI
IOOE-02
NV
1. OOE-OI
1. OOEtOI
NV
1 OOEtOI
I.OOEt04
IOOE-03
NV
1. OOE-02
1 OOE-OI
NV
IOOEt03
I.OObtOI
IOOEt02
1. OOEtOI
IOOEt04
1. OOEtOI
IOOEt03
IOOEt03
NV
NV
IOOt.02
IOOEtO4
1 OOE-03
1 OOE*O2
1 OOEtOI
1 OOEtOI
1. OOEtOI
lOOBtOO
1. OOEtOI
NV
1 OOEt02
200Et03
IOOEtO2
1 OOEtO4
I.OOEt04
1 .OOEtOI
I.OOEt4U
NV
IOOEt03
NV
IOOEt04
1. OOEtOI
2.00EtOI
200E-OI
200EtOO
2.00EtOO
2.00E-OI
2.00Et02
I.OOEtO4
1 IOEtO2
I.OOEtO2
2 OOE-02
2.00EtOO
NV
1 OOEtO3
1. OOEtOI
1 OOEt02
1. OOEtOI
I.OOBtO4
2.00Et02
IOOE'03
I.OOfitOl
NV
NV
IOOEtO2
I.OOEtO4
2 OOE-02
SW/OP/DWT
(Toi/F«r)
4.00BtOI
4.00fitOO
4.00fitOO
40QBt02
400B-OI
4.00BtOO
NV
400BtOI
1 OOIi«O4
400b«OI
4 OOEtOI
1 OOBt04
4.00BtOO
4.00BtOI
NV
400BtO2
NV
400Bt01
4 OOEtOO
1 OOEtO2
400BtOI
1 OOBtOI
1 OOE«OI
IOOEtO2
IQOBtOl
400btOl
1 OOBtOI
4.00BtOI
IOOBt02
400btOO
NV
400Et02
400fitOO
1 OOBtO2
4 OOEtOO
4 OOBtOI
4OOBt02
1 OObtOl
400B>O2
NV
NV
7 OOE-OJ
1 OOEtO4
400BtOO
-------
'sil
f
h
ff&
rr?f
l
rmm
1111! *'
m. 5 P 5 S» £* i
r it v* ^ **• *«* •-
5 6 4 «. K> — »
— — Mf>>
8 88 88
?••*•• — MM — M
§88 §8888
8 88 88
? _ T tf _ B! m
!l.flMii88inii in 11111
2
VI
z
S
3
• o
I
^
I
$
f
i
I
3
r
S
1
-------
hibibii I Hits tluui I)il» ind P.lbwiy Scant fol tUlof coaled Organicf
- —
clhylcuc glycol loaaacn ethyl clbcr
ethyl clbcr
hepUcUor epoiidt
bcucUotobuudicae (beucUon>-l,3-buU4:Mc)
tcuckloropeaudicne
lydrafca Mil fide
metbaeol
•icikoiychlor
Bclhyl cUoiociibunilc
•aelhylcae bu(2-chloiouiiline), 4,4
BClbykac iklondc
•clkyl «lli>i
itmnlfrim
jjimul
pyiwc
ffaOim
MyraM
wlfuhc tcid
lolueac
loupfccoe
lelnchlofoelbeae
lelfihydrohuaa
liini- 1,2-JicUuroctbylcoc
Ifichloiuclhylcoe
• - HRS P«lbw«y Scores
CAS'NO To»c,.y OWMob A.rMob Pciu.l FCBi«cc liovBio.cc Ixolo. OW A., SW/OF/DWT
110 K>-i
60-29 7
2O6-44-0
14-73-7
5O-00-0
74-44-1
1024 57-3
IU-74-1
«7-*»-3
77-47-4
47-72-1
77-47-4
7647-01-0
7713-06-4
71-13-1
51-19-9
67-56-1
72 4) 5
It 22 1
101 14 4
7i 09-2
71-93-3
101 10- 1
10-62-4
71-36-3
91-20-3
9I-9S-3
601-*)-)
76-41-7
(2-61-1
106-47-1
I5-OI-I
101-95-2
129-00-0
110-16-1
100-42-5
7664-93-9
IOI-U-3
•001-35-2
127- 11-4
109-99-9
I56-6O-S
79 01 -6
1 001-..OI
1 OObKII
1 OOBK)2
1 OOEKI2
1 OObKII
1 OOEKM
1 .OObKM
IOOEKI3
1 OOBKM
I.OOBKI3
1. OOEKM
1 OOEKM
1. OObKM
1 OOEKII
1 OOEKM
1 OOEKM
1 OUEKI2
1 OObKI2
1 OOBK13
1 OOEKII
1 OOEKII
l.OOEKII
1 OOBKII
l.OOEKII
I.OOEKtt
I.OOBKI3
I.OOBKI3
1 OOEKII
I.OOBKI3
lOOEKH
1 OOBKM
NV
1 OOBKM
lOOEKtt
1. OOEKU
1 OOBKII
1 OOEKM
IOOEKII
1 OOEKI3
1 OOEKU
1 OObKM
1 OOb-02
1 OOEKII
1 OOI-..00
1 03
5 OOb-OI
5 OObKM
S.OObKM
S OOEKM
S OOb.OI
5 OOEKM
S.OOEKI2
5 OOEKM
S OOE-OI
5 OOE-OI
S.OOE-OI
SOOE.02
S OOE-OI
S.OOEKM
S.OOE-OI
SOOEKI2
S OOEKM
5 OOE-OI
S OOEKM
5 OOEKM
S OOEKM
500EKI2
S.OOEKM
5 OOEKM
S.OOEKII
S.OOBK>2
500EKI2
S.OOEKM
S.OOBKM
5 OOEKM
5 OOEKM
SOOE-OI
S.OOBKM
SOOE-OI
5 OObKII
S.OOEKM
S.OOEKII
SODEKI2
S.OOEKII
S OOEKII
5 OOb-OI
5001: 01
5 OObK)3
5 OObKM
5 OOb-OI
5 OObKM
S OOEKM
5 OOBKM
SOOEKI3
5 OObKII
5.00BKI2
S.OOEKII
5 OOb-OI
5 OOb-OI
SOOb-OI
5.00EKI2
SOOE-OI
S.OOEKM
SOOE-OI
SOOEKI2
S.OObKM
SOOE-OI
5 OOEKM
S.OOEKM
S.OOEKM
S.OOBKI2
S.OOBKM
500EK>3
5 OOEKII
S.OOBKI2
500EKI2
S.OOBKM
S OOEKM
5 OOEKM
S.OOEKM
S.OOE-OI
S.OOEKII
S.OOE-OI
S.OOEKM
5 OOB.O4
S.OOEKII
S OOEKI2
S.OOEKM
S.OOEKII
1 OObKM
1 OObKM
1 OObKM
1 (MEKM
1 OOEK>2
1 OOEKM
1 OObKM
1 OObKM
1 OOEKM
1 OOEKM
1 OOEKM
1 OOEKM
1 OOEKM
1 OOEKM
l.OOEKII
1 (MEKM
1 OObKM
1. OOEKM
NV
NV
1. OOEKM
1 OObKM
1 OOEKM
1. OObKM
1. OOEKM
1 OObKM
S.OOEKM
I.OOBKI2
1. OOEKU
NV
1 OOEKI2
1. OOBKM
1 OOEKM
1. OOBKM
NV
1 OObK>2
I.OOEKI2
1 OOEKM
IOOEKI2
1 OOEKM
I.OOEKI2
NV
1 OObKM
1 OOEKT2
(Ton/Mob)
1. OObKII
1 OOb.OI
1 OOb 07
NV
1 OObKII
2 OObKII
1 OObKM
1 OOB 01
1 OOE-OI
1 OObK>2
1 OOEKII
1 OOEKI2
1 OObKM
1 OObKM
I OObKII
1 OOEKII
1 OOEKM
IOOE-02
NV
1. OOE-OI
1. OOEKM
1. OOEKM
1 OOEKM
1 OOEKII
1. OOE-OI
1 OOEKM
l.OOEKII
1 OOEKM
1. OOE-OI
1. OOBKM
NV
1 OOEKU
NV
1. OOEKM
IOOE-02
OOEKM
OOE-OI
OOBKM
OOE-OI
.OOBKM
.OOEKM
.OOEKM
OOEKI2
OOE-OI
(Tol/Mob)
IO01-KII
1 .OOEKII
2 OOB-02
200BKH
1. OOBKM
2 OOBKII
200EKI2
2 OOEKM
200EKI2
200EKM
IOOEKI3
200EKI3
NV
1 OObKM
1 OObKII
200bK>2
1 OObKM
2 OOE-OI
IOOEKI2
2 OOE-OI
IOOEKII
1 OOEKM
IOOEKII
1 OOEKII
IOOEKII
2 OOEKII
1 OOEKM
200EK»
1 OOEKM
2 OOEKII
2 OOEKM
1 IOEKM
NV
1 OOEKM
2 OOE-OI
1 OObKM
IOOEKII
NV
I OOEKM
2 OObKM
IOOEKI2
1 OOEKM
1 OOEKI2
1 OObKII
(To«/Per)
1 OOBKM
4 OOBKM
IOOBKJ2
I.OOBKI2
l.OOEKII
I.OOBK>3
1 OOBKM
IOOEKI3
I.OOBKM
1. OOBKM
400EKI2
1 OOEKM
400EKI2
4 OOEKM
400EKIO
1 OOEKM
1 OOEKM
1 OOEKI2
4 OOEKII
4 OOEKU
4 OObKM
4 OOEKM
4 OOEKM
4 OOEKM
1 OOBKM
4 OOBKM
IOOBKI3
1 OOBKM
4 OOBKM
I.OOBKU
I.OOBKI2
lOOfiKU
NV
I.OOBKM
IOOBKI2
1 OOBKM
4 OOBKM
400BKI2
4 OOEKM
1 OOBKM
4 OOEKII
1 OOEKM
4 OOEKII
400EKM
3
-------
lubbil I MRS llund Dili ud r«lkw»y Scorei fw Hitef culc4 Otfuici
(Vweil
„„ ,_. „
IrKUoiomoaofluoniroirlfcimr
vuyt chloride
nylcae (•-lyleae) *'
lylue If- «ylcae) ••
2,4-Dumclkyl pkcooj
Beazodioui
DicMonAfluonaclkiac
Vnyl Chloride
MRS NUw.y Scorei
CAS No Toucily OW Mob Air Mob feruit FCBio«cc LuvBiouc Hcotoj OW Air SW/OF/DWT
75 69 4
75-01-4
IO*-3l-3
I04H2-3
0-0-0
O-O-O
O-O-O
0-0-0
0-0-0
0-0-0
O-O-O
O-O-O
0-0-0
o-o-o
0-0-0
O-O-O
0-0-0
O-O-O
O-O-O
r- (Toi/Mobi rroxaiobi mu/Kui
NV
1 OOI:*O4
1 OOh'OO
1 OOE*OI
1 OOEHJ2
IOOE*03
IOOE*OI
IOOE*04
IOOE*00
IOOE*OI
I.OOE*OI
IOOE*04
lOOEtOO
I.OOE*03
I.OOE*04
IOOE*OI
IOOE*OI
1 OOE*O4
IOOEUM
NV
1 OOE-02
1 OOE-02
1 OOE-02
IOOE-02
lOOEtOO
IOOE-04
I.OOE-04
1. OOE-02
I.OOB*00
NV
1. OOE-02
I.OOE*00
NV
I.OOE-04
IOOE-02
IOOE-02
IOOE-04
IGOE-02
NV
IOOE«00
IOOE*00
IOOE*00
2 OOE-OI
200E-04
2.00E-03
NV
2 OOE-OI
IOOE»00
I.OOE*00
2.00E-02
2.00E-02
2.00E-OI
2.00E-04
2 OOE-OI
I.OOE*00
2.00E-OI
I.09E*OD
NV
700E-03
4 OOE-OI
4 OOE-OI
OOE*00
.OOE*00
.OOE*00
.OOE*00
.OOE*00
4 OOE-OI
7.00E-04
I.OOE>00
4.00E-OI
4 OOE-OI
I.OOE*00
I.OOE*00
4.00E-OI
I.OOE*00
700E-04
NV
500E*00
500E*02
5 OOE*OI
iOOE*02
IOOE*04
500E*02
5.00EKM
i.OOE*OI
5 OOE-OI
S OOE-OI
5.00E*02
ii'-; oi
S.OOE-OI
S.OOE*03
SOOE*02
500E«OI
S.OUE*03
i.OOE*00
NV
500k*OU
500E*02
400E*QI
500E<02
500h«O4
5 OOE*02
S.OOE*04
iOUb*OI
S.OOE-OI
5 OOE-OI
SOOE-OI
5 OOE-OI
}.OOE*03
S.OOE*03
5.0UE*OI
S.OOEHU
SOOE-00
NV
NV
1 OUE*02
1 OOE«02
1 00fi»02
IOOE*04
I.OOfi*O2
NV
I.OOE»OI
NV
I.OOE*00
I.OOE*04
NV
I.OOE*00
NV
IOOE*03
NV
I.OOE«O2
NV
NV
OOh.02
OOE-02
OOE-OI
OOE.OO
OOE<03
1 OOE-03
I.OOE*00
1. OOE-02
lOOEtOI
NV
I.OOE*02
IOOE*00
NV
IOOEHM
1 OOE-OI
1 OOE-OI
IOOE*00
1 OOE«O2
NV
1 OOE*04
1 OOH»00
1 OOB*OI
2 OOE*01
2 OOE-OI
2.00E-02
NV
2 OOE-OI
IOOE*OI
1 OOE*OI
2.00E*02
2.00E02
2 OOE*02
2.00E*00
2.00E*00
1 OOE*OI
2.00E*01
1 OOE*04
NV
700fi*OI
400B-OI
4.QMEl*00
1 OOB*O3
I.OOB*OI
I.OOB*04
1 OOB*OO
400B*00
7.00B-03
I.OOE*04
4. OOE-OI
4.00E*02
1 OOE*04
IOOB*OI
4 OOE*OO
I.OOE*O4
-------
tuhibii I. MRS H«z«rd D.U tnd P««fcwty Score, lot Hilugeulcd Oijum;.
Cbeottol
1 , 1 , 1 .2 -IcIrachlMOclhue
1.1,1-lnchloroelluoe
1 ,1 ,2,2-lcincklaroclbuic
1.1.2-lncfalaraelkue
l.l,2-tnchloro-l.2.2-tnfluoruelhi»e
l.l-dichloruclhue
l.l-4tcyanelkykac
1 ,2.3-lncUonpnpwK
l.2,4.5-lcincUc hlaroptcaol
-chloraBclbylourue
2-rhlanMBklkilcac
2-cW«m*fiMl
ir«MTMntuM
tccUUehyfe
KttoM
ACtttOMtrilfi
* '*** T^*^MBC
tCltllCMi
tciyluude
tcrylk icU
•cryloulrile
•llyl cUonde
•Iptu-BHC
•rauooio
•mlioc
•nlhotcnc
II KS Ptlkwty Scorei
CAS No SW/OF/HK: SW/OP/IU,. SW/OW/DWT sw/ow/m-c sw/aw/tov
(Tu>/Pcra/Bio) (l-J.u/Pef/Bio) (To»yM>*/Pei)
63O- 20-6 2 00[:«O3
71-JJ 6 200B-OI
79-14-1 200b«OI
79-00-5 2 OOE«04
76-IJ-l 200E«OI
7»-»4-l 200E*OI
7S-JI-4 NV
96-U-4 2 OOE*O2
95-94-3 t OOE«O7
120-12-1 200E«04
94-12-S $OOB«OS
95-5O-I 200E«O2
107-06-2 200B«02
IS6-60-S NV
71 «7 5 2 OOE*04
541 73 1 NV
542 75 6 200i:>04
106 4* 7 2 OOh.02
51 90 2 5 00b>04
») 72 1 2 OOB«04
95-95-4 500B*03
IIO6-2 500E«O3
94-7J-7 ' JOOE«03
I20-U-2 ' 5 OOE«OS
I06-I9-S * 200E<03
91-51-7 SOOE*03
95-57-1 2 OOB«O4
91-94-1 500B«O4
U-32-9 2.00fi«03
2OI-96-I NV
75-07-0 200E«O2
67-64-1 2.00E*00
75-05-1 500E*OI
91-16-2 200E*OI
107-02-1 2 OOE*06
79-O6-1 2.00E*03
79-10-7 S.OOE*O2
I07-D-I 200E«O4
107-05-1 NV
3I9-M-6 NV
766441-7 3 50E-0
62-533 500b*O4
120- 12-7 2 OOE*O4
200E>02
200h»OI
200t«02
200B'02
NV
NV
NV
20DB*OI
S.OOE*05
2.00EH>t
NV
NV
200E«O3
2.00E*00
NV
200E*02
200b>03
2 OOB'03
500E>O6
2 OOE.06
SOOE-06
SOOB*O7
SOOB*O3
500B«O4
2.00B*00
NV
2.00E*04
NV
2.00E*06
NV
2.00E*00
200E-OI
5006-01
2.00E*00
2.006*06
2.00E*OI
NV
2.00E*O3
NV
NV
350E-0
SOOB»06
2.00E*07
4 OOE-OI
4 OOt O2
400E02
400E>00
4006-03
400E*00
NV
4 OOE-OI
1.006*00
4 OOE-OI
4.006*03
1006*02
4006-02
4.006*01
NV
4.006*02
NV
400E*O3
40UE-O2
1 OOE-02
4 OOE-OI
1 OOE-OI
1.006*01
IOOE*OO
IOOE*OI
400fi*O3
IOOE-03
4 OOE-OI
1.006-02
4.00B-02
NV
4006*02
4.006*00
I.OOE*02
400E*00
4006*03
4.006*02
1006*03
400B*O2
NV
NV
7 OOE-02
1006*04
400E-O4
(Toi/Mob/Per/Bi»)
200E*OI
20UE-OI
20UE-OI
2 OOE*02
2 OOE-OI
2.006*01
NV
200E*OO
5.006*03
2 006*02
2006*04
S.OOE*03
200E*00
200E*O2
NV
2.00E*O4
NV
2.006*04
2006*00
i.OOE*00
2 006*02
5006*01
S 006*03
S.006*OI
i 006*03
2006*03
5 OOE-OI
2.006*O2
5.006*00
2.006*01
NV
2006*02
2.006*00
5006*01
2.00E*OI
2.006*06
2.006*03
5.006*02
2.006*04
.NV
NV
350E-O2
5.006*04
2006*00
(Ijot/Mub/Pci/Bio)
200K-OI
2006*00
2006*00
NV
NV
NV
2006-OI
5006*01
2006*03
NV
NV
2006*OI
2006*00
NV
2006*O2
2.006*OI
2006*03
200E*OI
500E*02
2006*O4
5006*04
5006*O7
5006*01
5006*02
2.006*00
NV
2.006*02
NV
200E*O4
NV
2006*00
2006*01
500K-OI
20Uh*00
2006*O6
2006*01
NV
2.QOb*03
NV
NV
3 506-03
5006*06
2 006*03
-------
lutubil I IIKS lluard DiU uad Fttbwiy Score* fur IlilojcmtcJ Oijtuci
litBIC.I
aroclw 1016
aroclof 1221
aroclot 1232
aroclw 1241
•raclw I2J4
aracUf 1260
bc«x(i>aaUnccac
Kjuoae
twauo(i)pyitae
iwuoCklAuorutheaK
bcwyl ckload*
boU-iHC
bu (2-cUwoclkoxyl) racUunc
bii (2-ctt>ytfaciyl) pklkilale
bnmalotm
kcoawwclkaae
cutxa duulfidc
cartel IclncUoruk
cUoral
blordaac
Uo«*Ca-6
1 10*7-6*- 1
IIOM-U-5
56-55-1
71-41-2
50-12-1
207-04-9
100-44-7
31*- §5-7
III-9I-7
II7-II-7
75-27-4
75-25-2
74 13 9
T> M 0
46 n i
74 17 6
J7 74 9
101-907
75-00-3
67-66-3
74-17-1
107-10-2
IOI-3*-4
211-01 -•
N-I2-I
506-77-4
IOt-94-l
72-54-1
50-29-1
75-71-1
II 1-44-4
I0*-60-l
542-M-l
60-57 1
16-10-6
106-19 »
141-71 6
10041-4
106-93 4
107 21 1
" SW/oivilFC
(Toi/Pcii/Bio)
NV
NV
NV
NV
NV
NV
500E*07
200B*05
500B>Ot
NV
3.50B<02
NV
500E«OI
500E<04
2.00E«03
NV
200E«03
2OOE>O4
200E-04
i 00h>03
5 OOI:>OI
3 50E<00
3 ME-O3
200E»02
150E-02
150E-OI
5.00B«OI
NV
200E*05
NV
5.00E«OO
500E«06
500B*07
2.00E*02
NV
NV
NV
500E>Ot
5.00E«O3
NV
200E-OI
200E<02
NV
SOOE-fll
MRS Faikway Scant
SW/OF/l-nv SW/OW/DWT SW/OW/HI-C ~ SVWOW/luiv
(l-Jui/Pcf/Bio) (ToifMobypci) (Totftiub/Hci/Bio) (lau«yMub/Pcr/Bio»
NV
NV
NV
NV
NV
NV
500E*01
200E<05
SOOE^M
NV
1.50E»02
NV
NV
5.00E*O7
NV
NV
200E«04
2 OOE*03
200E.O)
NV
500E*00
400EKJO
IOOE«O3
1 OOE.OO
700E-04
700E-04
400E«OI
700E-03
700E-OI
IOOE-01
NV
400EHW
NV
I.OOE«OO
I.OOB-02
IOOE-01
400E-02
NV
NV
NV
I.OOE«00
I.OOB-OI
NV
400B-OI
4.00E-02
NV
IOOE«OO
N
N
N
N
N
N
JOOE-0
200E>0
5.00E>04
NV
1.50E«00
NV
500E>0
500E>00
2.00E«0
NV
200b>0
200EK>2
200EH)2
500E«O3
500EH)4
1 50E-02
1 50E-03
200E«O2
150E-02
1.50E-OI
5.00B-OI
NV
2.00E<03
NV
5.00E<00
5.00E>02
5.00E<03
2.00E«00
NV
NV
NV
500E«04
5.00E04
.NV
3.50E>00
NV
NV
500E«O3
•NV
NV
200E«02
200E«O1
200E«OI
NV
500EHH
3SOE-OI
NV
200E«OI
1.50E-01
NV
500E»00
5 OOEK)2
2.00E<02
NV
500E*00
500E*04
5.00E<04
NV
NV
NV
NV
500E<04
5.0UE«02
NV
200E-OI
200b>OI
Ml/
w v
iOOE.OO|
-------
l:«hibil I IMS Hazaid Data and Pathway Scorei for HalotcoaleJ Orgamca
•-
Chemical
clhylcoe llycol nuoomelhyl clher
ethyl clher
ucraolbcoc
formaldehyde
hcflachloc
hcpaachlof cpoilde
heucUorobeoieae
heuchlonibuUdiCM (hexachloro- 1 ,3-buUdi*«e)
bciuckktroctluao
hydrochloric acid
idrogea eadftda
•ffluinH
aoeUxuychlor
ncUyl cUoTOcarbonalc
nc&yktat bt*(2-chlt»ii»*B4lMiek 4 4
tl7l tartMTl UVM
Hi *l •**•»00
206-44 O S 006*05
|»-73-7 J OOb.OS
JO-00-0 )OOE*OO
76-44-1 J OOb.06
1024-57-3 S 006*04
17-44-3 S.OOE*04
77-47-4 i.OOB*07
67-72-1 2006^15
77-47-4 }.OOB*O7
7647 -01 -O 200E*02
7711-06-4 2.00B*01
71-11-1 200B«00
it 19-9 300B*O6
67 M 1 » OOb 01
11 41 \ iOUb*O«
iv n i jaob-oi
101 14 4 I OOb*Ot
n o» 2 2 oob.oi
71931 200E*00
101- 10- 1 2.00B*OI
10-62-6 200E*OI
71-16-1 S.OOE«OI
91-20-1 200B«04
91-95-1 S 006*03
601-93-S S.OOE«O6
76-01-7 200B*02
!2-6«-t 500B*OS
I7-I6-S i.OOE«04
106-47-1 5.00E»03
15-OI-S NV
IOt-95-2 5.00E*00
129-OO-O 500E*01
IIO-I6-I 500E*02
100-42-5 2 OOB«02
7664-91-9 200E«02
IOI-II-1 200B»O2
MOI-35-2 SOOE>07
127-11-4 2 OOE*03
IC9-99-9 S (H)E<02
156-tO-S 2 OOE'OJ
79^11-6 20UE«02
SW/OP/bnv
(Uox/Per/Uiu)
i OOb 01
2 OOE-OI
iOOL.07
5 OOli.OI
iOOk'OI
500E*OI
500h*07
2006*03
500B*OS
200B-OI
2.006*02
300B*O6
500b4l
500b*OI
NV
NV
200b*OO
200E-OI
20DE*00
2006*00
500E*00
200E*0)
2.50B*OI
5.00EKU
200B*01
NV
SOOE»04
500E*04
200B*06
500E*04
NV
5.006*01
2006*01
2006*00
2.006*01
SODE*OI
2006*01
NV
200k*OI
2.006*01
HKS Pathway Scorea
SW/OW/DWT
(Ton/MoO/Pcr)
1 001: .01
400I:.00
1 00b*00
1 00b*0l
2 OOE*OI
1 00b*04
1 OOE-OI
1 OOE 01
1 OOb.02
4006*00
1 OOb*O2
4 00b*02
4006*03
4 0011*00
1 00li*0l
1 00b*00
I.OOb-02
NV
4 OOE O2
400E.OO
4006*00
400E>00
4.00b*00
1 OOE-OI
4 OOE-OI
IOOE*OI
1 006*01
4.0DE-02
IOOB*OI
I.OOE*00
IOOE*03
NV
IOOE*00
I.OOE-02
IOOE*O1
4006-02
400E*O2
4.00E-02
1006*01
4 OOE-OI
t aoB00
1 OOI:> 04
5 006*04
500b*02
5006*00
5 006*05
200b*03
5 OOb*OS
2006*02
2 006*03
2006*00
5 006*03
5006 01
5.00b*02
NV
2006*01
2.006*01
2006*00
2.006*01
2.006*01
5.00E-OI
2 OOB*02
5.00E*OI
5.00E*04
2.00E*00
5006*03
5.00E*02
5006*03
NV
5006*00
5006-01
500E*02
200E*00
2 OOE*O2
2.006*00
500b*OS
2006*01
JQOB*02
2006*03
2006*00
SW/OW/lxv
(|Jo«/Mob/Pcr/Biu)
5006-01
2006-01
S 006*03
5006*04
5 OOI:> 01
1 OOE'O7
5 00b*03
2 006*03
2006 01
2006*02
2006*00
5006*03
5 006-01
S 006.04
NV
NV
2006*OO
200b-OI
2006*00
2006*00
5.006-O2
2006*01
2 506-OI
5.00E*O1
2.006*01
NV
5.00E*02
5006*04
2006*02
5006*04
NV
500E*OI
2006*01
2006*00
2006*01
S 006*06
2006*01
NV
2006*01
2 OOE.OI
-------
* T _ ,. - .
> irt i
THi
F
00
C. o
e> 6
f??'
^?-
wwA
888888888
™ w cn en en en QD CB CD
W» K» K) W
888$
8 8
< a <
5
VI
*!i
11111 J II1111111 §
1 1 1 1 1 1 1 1 II
I
If
If
|i
15
•
,u
II
ll I5?f fi
s.
I
s
-------
I
-------
Inhibit I IIKS Hazard Dit« ud f.Uw.y Semi fix Mculi
ChcMiCfl
ufuBwy
•nouc
•ariuai
bciylliua
cadauuai
ckroauuai
cknwuun
cupper
lead
aurcury
•ickcl
aeluiuaa
ailv*f
tfaUiuB
vianoi.iai
«UK
Scoret or R»ni» ~ ~ I
CAS No
7439- VO-5
7440- J6-0
7440-31-2
744»-3>-J
744-2
7440-22-4
7440-21-0
744O-62-2
7440- 66-t
Toiletry
NV
IOOHKM
IOOEKM
I.OOE»0|
I.OOH.04
I.OOEKM.
I.OOfitOO
I.OOE*04
NV
1.00E*04
I.OOEKM
I.OOE<04
I.OOE*02
1.00EHJ2
I.OOEHB
I.OOE«O2
100E.OI
OWUob
NV
IOOb-02
IOOB-02
IOOB-03
I.OOB-02
2.00B-OI
2.006-04
NV
l.OOB-02
2.00B-05
2.00B-OS
2.00E-OS
I.OOE-02
2.00E-07
I.OOB-O4
NV
200b-OJ
fffiM
0.
PCBjo*cc
)OOE«OI
t.OOB-OI
J.ODBKIO
JOOH-OI
SOOfitOI
300BK13
5.00B»04
5.00E«00
3.00B404
S.OOB«OI
J.OOEHM
5.00B-OI
i.OOE«O3
SOOEtOI
iOOE>02
iOOb«l
tOOtt^ti
liavBioacc
S 00h«02
JOOb-OI
5,OOE>OI
SOOE-OI
SOOhtOl
J.OOEHU
S00fi<04
SOOE<00
S.OOB«04
500Bt03
$OOEt04
S.OOB<02
S.OOB«0}
300E*OI
500fi>02
lOOb-OI
\OUif02
IxtXOl
1 OOh.OI
NV
IOOH.OI
I.OOE«00
NV
IOOH»03
I.OOB«OI
I.OOE>02
1.00E«02
IOOE«03
I.OOE«O4
lOOBtOI
I.OOB»02
I.OOEHM
NV
NV
1 OOhHH
HRS factor
OW
(Tot/Mob)
NA
IOOE>O2
1 OOB*O2
1 OOE-OI
I.OOE«O2
200E«03
2.00B-05
NA
NA
2 OOE-OI
2 OOE-OI
2 OOE-OI
I.OOB<00
200E-OS
1 OOE-OI
NA
200E-02
Score*
SW/OP/DWT
(Tox/Per)
NA
lOObHM
IOOEKM
IOOE*OI
I00b>04
100E.04
4 OOE-OI
I.OOE<04
NA
IOOEKM
I.OOEKM
IOOE«O4
. IOOE«O2
I.OOE*02
I.OOE>01
IOOB«02
1 OOE*OI
SW/OWHI-T
(Toi/Peri/Btu)
NA
5 OOhrtU
500E*O4
50Uli*OQ
1 OOb'OS
5 OOh.07
200Ei04
SOOEHM
NA
3.00E«OI
).OOE>03
500EK)i
500E«O3
}.OOE*O5
}OOE«OI
SOOE.OJ
SW/MI'/luiv
(l-Jui/Pci/Bio)
J OOL.OJ
NA
i 00h<02
5 tub 01
NA
SOOhHJo
2 OOh.OS
5 00b<02
SOOhKV.
S OOH.06
5 OOh.Ol
500L.01
5 OOb.OJ
iOOhK)S
NA
NA
5 00!:>03
SW/aW/DWT
(Toi/Mob/Pcr)
NA
1 OOb«O2
1 OObHU
lOObOl
1 OUE>02
2 OOH*03
IOOb-06
NA
NA
2 OOE-OI
200b-OI
2 001: -01
lOOEtOO
200E-04
1 OOE-OI
NA
2006-02
SW/OW/HI'C
(To«/Mob/pct/Hju)
NA
iOOb>OI
5 OOE*02
JOOb-02
5 OUbKI3
1 OOh.07
400B-OI
NA
NA
1 OOH«OI
1 OOI:<04
1 OOE-OI
S OOI-.OJ
1 OOE03
iOOh^OI
NA
1 OOI<*OI
SWAOW/Uv
NA
NA
JOObKW
S.OOfc-03
NA
1 OObtOo
400b.OO
NA
iOOUXM
I 00h>02
1 OOhHH
1 OOli^JI
1 00b>0)
1 OOb-OI
NA
NA
1 OOli-Ol
.«c, «<*,uiy ,«,„,
- 10.0001
. |0.000|
a. water aolub.l,ly and A^nbuiio. coefficieol (Kd) |-M, KOre - II
w.u, threat. ^ ,.
«ul,,p|yin, „. f.clor v.(ue
10
-------
APPENDIX 9
STATES AND REGIONS IN WHICH TOP 100 RANKED WASTESTREAM
COMBINATIONS ARE GENERATED
-------
-------
Males und Regions fur Top 100 Kunked Wusteslreum Combinulions
lUok
1
2
3
4
5
6
7
8
9
10
11
12
13
14
IS
16
17
RCRA Code
IXWI MNII HK)2 l-tXH l-tX)5 UOOI U002 U003 UOI9 11028
O002 1)006
K022
0001 D002 D019 WB2 D033 D034 1X139 I-XW2
1)001 1)007 D00§ DOI6 D022 D026 IXK7 1X128 1)033 1)036
1)001 1)002 D003 PDOZ P020 P024 KOI 7 KOI 8 K020 K028
H003 F005
DOOI D008 F003 I-DOS
DOOI D002
Unknown
DOOI D002
DOOI D018 D019 D039 F024
DOOI D028 F037 F038
KD02
DOOI DOOS D006 D007 DOU8 DOI8 D026 D03S HJ01 F002
DOI9 D022 D032 D039 D043 K018 K020
DOOI D002U008UII3
SIC
Code
2869
2H33
2869
2869
9999
2821
Unkwn
4953
2869
Unkwn
2869
2869
2911
286S
Unkwn
2869
2869
Source
Code
A33
A.12
A33
A33
A99
A37
Unkwn
A73
A3I
Unkwn
A35
A74
A89
A33
Unkwn
A33
A33
Form
Code
H2I9
H207
H606
1)219
H2I9
H2I9
H219
B203
B207
B206
B2I9
B202
B20S
B203
B2I9
B2I9
BI01
Volume
(Ions)
14.217
3.724
23.281
3,866
7,«OI
48,039
17,218
4.8HO
3,873
84,191
95.042
26,708
6,785
6,554
31,348
3.132
189,524
Hazard
Score
3.72cfl3
2.32C+I3
l.«>3e-H3
l.05e+13
4.79e-f 12
2.58C+I2
2.43e+l2
l.93e-t-12
l.68c^ 12
l.42c+ 12
I.33C+I2
6.77e+ll
6.54e+ll
6.26e+ 1 1
6.2Se+ll
S.67c+ll
Stale
(T
PA
TX
IN
TX
CT
MA
NJ
NY
PA
VA
WV
KY
VA
CT
Kl
NJ
DB
Ml)
PA
VA
IL
IX
LA
KS
MO
CA
IX
IA
TX
IA
Ml
IX
TX
Ktfloo
1
3
6
5
6
1
1
2
2
3
3
3
4
3
1
1
2
3
3
3
3
$
6
7
7
7
9
6
6
6
6
S
6
6
-------
Slalcs unit Regions fwr Tup 100 Ranked Waslcslrano Gwbiniilions (ctinlinued)
D001 IXJ03 F005
Unkwn
Unlcwn
B203
5,692
4.54C+II
CT
MA
Mli
NJ
NY
MD
PA
VA
AL
FI.
MS
NC
SC
TN
IN
Ml
MN
Oil
IA
KS
MO
CO
ND
CA
I
I
I
2
2
3
3
3
4
4
4
4
4
4
5
5
5
$
6
7
7
8
8
9
-------
Stales and Region* f
-------
Stutci Hiid Regions for Top 100 Ranked WMSteilraitn Combinations (continued)
K»ak
42
43
44
45
46
47
48
49
50
51
52
53
S4
55
56
57
58
59
60
61
RCRA Code
1)001 D007 IXWH IXH8
DOOi DOOS IXJ06 1)007 1)008
1)001 DOI8 K048 IC049
Unknown
1)001 1-1024
K048
DOOI D004 DOOS D006 D007
DOOID002
1)005 D006 DOOS FOOI
DOI8 D038 K022 K083
1)001 1)005 1)006 IXNI7
1)001 1)011 IXII8 IXI2I 1X122 ~"
IXXII 11101 I1NM 11)05
DOOI D002D007
DOOI DOOS D006 D007 DOOS FOOI FD02 FD03 P004 F005
DOOI DOOS 0006 D007 D008 F003 FDOS
DOOI D002 DOOS D006
DOOI D002 D019 D022 D027 D028 D029 D032 D033 D034
DOOI D006 D008 H002
FOOI F002 F003 F005
SIC
Code
2911
Unkwn
2911
3221
2819
2911
Unkwn
2869
4953
2865
Unkwn
3861
Unkwn
2869
7389
2821
4953
2869
Unkwn
Unkwn
Source
Code
A89
Unkwn
Unkwn
A54
A33
A75
Unkwn
A33
Unkwn
A
Unkwn
A49
Unkwn
A33
A7I
A73
Unkwn
A99
Unkwn
Unkwn
form
Code
U204
U407
H204
B206
11219
B503
B407
U2I9
11204
I)
U204
I)2(t4
B204
B602
B206
B602
B204
B494
B403
B204
Volume
(lOOS)
8,564
7,826
3,669
7.914
14,893
19,996
4,509
7,412
4.148
17,303
3.775
9.390
5,956
36,709
3,518
3,410
3.295
6,435
3,168
6,975
lUurd
Score
1.7lc+ll
l.Sfc+11
I.46e+ll
l.lKc+11
I.04C+II
9.98e+IO
9.00c^ 10
8.87C+IO
H.6Ke+IO
8.63c+ 10
7.53c^lO
7.49C+IO
7.43c^lO
7.32C+IO
7.02ctlO
6.80c+ 10
6.57C+IO
6.42et 10
'••• ' i .-
6.32c+ 10
6.26c-<-10
.
S'tule
OH
Ml
AR
OH
NJ
IJV
TX
GA
TX
VA
TX
Oil
Oil
Oil
NY
Rl
NY
II.
Ml
Oil
NM
TX
TX
Wl
•— •— »^^n^«
OH
•^^•••^•^^^•.B
TX
OH
TX
PR
FL
IN
TX
— ""^— — ^— •
EPA
KegluM
5
5
6
5
2.
6
6
4
6
3
6
5
5
5
2
1
2
5
5
5
6
6
6
5
•ii •••^_
<
*^VB^-KB^BW>.
6
5
6
2
4
5
-------
Stutes Hiid Regions for Top 100 Ranked Wiisteslremn Combinations (continued)
RanL
62
63
64
65
66
67
. 68
69
70
71
72
73
74
KCKA Code
DOOI DOOS 1)006 IXW7 1)008 1)011 1)022 1)035 DOW FOOI
1)001 1)002 1)007 DOOS D018 1)035 I-DOI IW3 IW)5 U009
D001 FOOI F002 PDOj
D008
DOOIF004
D001 D007 DOOS FOOI F002 F003 POOS
K022
K022
D001D002D007
D001 FOOI F002 P003
DOOI D002 F003 POOS K038 P094
DOOI D002 D003 D004 DOOS D006 D007 D008 D009 DOIO
K017 KOI9 K020
SIC
Code
Unkwn
2869
Unkwn
Unkwn
2821
9999
286S
2869
2869
2899
2879
2K69
2869
Source
Code
Unkwn
A37
Unkwn
Unkwn
A33
Unkwn
A33
A33
A33
AB9
A37
A33
A33
Form
Code
Unkwn
B2I9
B204
Unkwn
B602
B202
B602
B2I9
B2I9
B204
BIOI
BIOS
B60I
Volume
(too*,)
3.124
5.679
10.929
5.357
3.990
4,866
9,432
10,846
16,099
5,825
35,136
13,182
13.073
Hazard
Score
6.23C+IO
5.67e+IO
5.45e+ 10
5.34C+IO
5.l8e*IO
4.85e+IO
4.7le+IO
3.25e+IO
3.2U+10
Z91C+IO
2.80e+ 10
2.63C+10
2.6U+IO
State
Oil
IX
Wl
Q
MA
VT
NY
FL
KY
NC
SC
TN
IL
IN
Ml
MN
Oil
IA
OK
TX
KS
MO
NE
AZ
CA
Q
NY
TN
TX
TX
TX
AL
MO
IX
TX
Keglo*
6
5
11
1
1
2
4
4
4
4
4
5
5
5
5
5
6
6
6
7
7
7
9
9
II
2
4
6
6
6
4
7
6
6
-------
Slulcs und Regions fur Top 100 Ranked Wiistesfraiiai Co nabinttt Ion v (continued)
Rank
75
76
77
78
79
80
81
82
KCKA Code
DC01
1)001 D018 D043 HXH 1-W2 HW3 RXW MOOS
F001 F002 F003
K022
DOOI F003POOS
D002 D021 D028 H003 POOS
DOOI
DOOI
SIC
Code
2512
Unkwn
Unkwn
2865
3053
2879
2869
2869
Source
Code
A92
Unkwn
Unkwn
A35
A56
A37
A35
A35
Form
Code
H403
H204
Unkwn
H602
11403
HI01
11207
11606
Volume
(loos)
4,322
15,509
4,822
4.WK)
3.465
130,948
10,732
3,175
lluurd
Score
Z59C+10
2.48C+ 10
2.4 let 10
2.30e+ 10
2.28e+ 10
2.22C+IO
2.14c+IO
1.27e+IO
Slulc
NC
VA
NJ
GA
TN
IN
OH
TX.
CO
TX
VA
MO
TX
Ml
EPA
Kegio*
4
3
2
4
4
5
5
6
8
6
3
7
6
5
-------
StMles and Kegiuns for 'I'op 100 Ranked VV»steslrenm Combinulions (continued)
ReMk
as
KCKA Code
D001
SIC
Code
Unkwn
Source
Code
Unkwn
Form
Code
Unkwn
Volume
(loan)
25,371
litturd
Score
l.0le + 10
State
CT
MA
Rl
VT
NJ
NY
PA
VA
WV
AL
FL
GA
KY
MS
NC
SC
TN
IL
IN
Ml
MN
Oil
Wl
AR
LA
TX
IA
KS
MO
NH
MT
WY
AZ
CA
NV
WA
FC
Q
«»— •••••MBB.
EPA
Kegkm
1
1
1
1
2
2.
3
3
3
4
4
4
.4
4
4
4
4
5
5
5
5
S
5
6
6
6
7
7
7
7
8
8
9
9
9
10
11
11
•"—•»—••-
-------
Slates und Regions for Top 100 Runkcd Wtistestraia Combinntions (continued)
fUnk
84
85
86
87
MM
KV
YO
91
92
93
94
95
96
97
98
99
JU'RA ooi HJOJJ nun n»»s
IMNH 1X122
l«»2 HM)S
IKWI 1)002 1)00)
D002
D001
D001 D002 D003 DO 18 D021 DOB D024 D025 D026 D035
K027
D001 D002 D003 D005 DO 18 D02I DOB D024 D025 D026
D001 D002F003
K027
D001 P002 F003
F002
SIC
Code
Unkwn
Unlcwn
B84
2833
2869
2834
2879
2869
2869
2869
2865
2869
2819
2865
2833
2879
Source
Code
Unkwn
Unkwn
A37
A35
A37
A37
A37
A09
A3S
A33
A33
Unkwn
A
A33
A35
A35
Form
Code
1)202
Unkwn
BIOI
BIOI
B202
BIOI
BI02
B207
B219
B219
B409
Unkwn
B
B403
BIOI
BIOI
Volume
(tons)
5,922
3,477
18,747
26,284
3,414
28,640
27,247
8,001
12,842
7,418
11,12?
6.075
5.3B
4,457
18,154
37,447
Hazard
Score
9.45e+09
6.«J4c+0«)
5.6le+09
2.IOe+09
I.I6C+09
l.Ue+09
8.I6C+08
7.98C+08
6.41C+08
5.03e+OH
4.44e+08
4I2C+08
l.Ote+08
8.89C+07
543C+07
1.79e+07
Slulc
NJ
1L
IN
OH
WI
MD
KY
TN
IL
Oil
WI
IA
OK
TX
CA
PR
IN
IN
LA
IN
TX
TX
WV
AL
IA
TX
TX
IA
•™>*>*>«HflKMHM
Oil
•^^^HI^WIMHHM
TN
WV
•••' ' i i
IN
"^^•^•— i«— ^^-«
CA
••^•^~«— «^« ^i.™
KPA
Keglo*
2
5
5
5
5
3
4
4
5
5
5
6
6
6
9
2
5
5
6
5
6
6
3
4
6
6
6
•MMH^iW_
6
1
5
•••^•^•••^^H
4
3
5
^^•••MMBBU
9
-------
Stales mid Regions for Tup 100 Hanked Wasteslreum Combinutions (continued)
Hank
too
KCRA Code
1-1002 I-TMM l-XMtf
SIC
Code
1184
Source
Code
A37
form,
Code
HIOI
Volume
(Ions)
6,414
Iliiurd
Score
5.I2C+06
I9086C+I4
Stale
PR
EPA
UegkMi
2
-------
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