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ENVIRONMENTAL HEALTH SERIES
Air Pollution
TORAGE
ND
ETRIEVAL
F
IR QUALITY
ATA
SYSTEM DESCRIPTION AND DATA CODING MANUAL
U.S. DEPARTMENT OF HEALTH, EDUCATION, AND WELFARE
Public Health Service
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STORAGE AND RETRIEVAL OF AIR QUALITY DATA
(S A R 0 A D)
SYSTEM DESCRIPTION AND DATA CODING MANUAL
Donald H. Fair
George B. Morgan
Charles E. Zimmer
Air Quality and Emission Data Program
U. S. DEPARTMENT OF HEALTH, EDUCATION, AND WELFARE
Public Health Service
Bureau of Disease Prevention and Environmental Control
National Center for Air Pollution Control
Office of Technical Publications
Cincinnati, Ohio 45227
June 1968
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Public Health Service Publication No. APTD-68-8
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ABSTRACT
The systems for coding sampling site locations, and for coding air quality
data for inclusion in the National Center for Air Pollution Control data bank are
described. The forms to be used in reporting data are explained. Retrieval
programs available for obtaining data summaries are briefly discussed.
KEY WORDS
Air quality data Monitoring networks
Data bank SAROAD
Data systems
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CONTENTS
INTRODUCTION 1
DATA IDENTIFICATION AND CODING 3
Station Location Identification 3
Pollutant Identification 4
Sampling and Analytical Method Identifications 11
REPORTING DATA 23
Data Record Forms 23
Punched Cards 31
Magnetic Tape 31
RETRIEVAL OF DATA 33
APPENDIX Codes Assigned for Some Common Pollutants 43
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STORAGE AND RETRIEVAL OF AIR QUALITY DATA
INTRODUCTION
The public has become increasingly aware, in recent years, of the problems
associated with atmospheric pollution. The Public Health Service initiated a
modest program of research and technical assistance related to air pollution
problems in 1955 with the passage of Public Law 159, and air pollution control
activities have continued to expand over the years. Passage of the Clean Air Act
(Public Law 206, 88th Congress) in 1963, and the Motor Vehicle Air Pollution
Control Act (Public Law 272, 89th Congress) in 1965 indicate the intent, on the
part of the Federal Government, to play an ever-increasing role in air pollution
research and abatement activities.
A large part of the public monies spent on air pollution research and control
activities by Federal, state, and local agencies is aimed at monitoring the
ambient air. In the past, and to some extent even at the present time, the
primary objective of these air monitoring activities is to provide information
relative to the nature and extent of air pollution. It is anticipated that air moni-
toring and the resulting data -will play a continually increasing role in the future
in determining the type and extent of control programs used to ensure conformance
•with appropriate air quality standards.
Air monitoring programs are yielding increasing quantities of data. Often
the data remain unanalyzed and unpublished or, if published, are presented only
as endless tables in a report. Such data must generally be subjected to extensive
statistical analysis to realize the maximum amount of information. Generally the
quantity of data is so great that an automated method of data processing and
analysis is necessary.
As early as 1958 the Public Health Service saw the need for a computer-
centered system for the storage and retrieval of air quality data in support of the
National Air Sampling Network (NASN). Initially, data was stored on punched
cards and the computer was used for retrieval purposes only. More recently the
system was changed to provide for the storage of data on magnetic tape; and as
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plans for the development of a more flexible data handling system began to mate-
rialize, the tremendous potential of the system was realized. Because state and
local agencies are mounting sampling networks that will soon surpass NCAPC's
networks in volume of data generated, a system capable of incorporating data
from other than in-house air monitoring projects has become necessary. Sepa-
rately, these individual state and local networks are intended to monitor the
local environment. Collectively, the networks can provide a broad base of
information on nationwide air quality by becoming integral parts of a composite
sampling network many times more extensive than the original NCAPC networks.
In addition, requests may be made by the contributing agencies for summaries
and analyses of their data that may be beyond the scope of their facilities. Sum-
maries of data from other communities in the same population class and/or
geographic area also can be compiled to establish a context in which a local
agency may evaluate its own program and progress. Much of this value will
never be realized if the data are not routinely reported to a central data retrieval
system in uniform format. The system described herein therefore, forms the
basis for a national "Air Quality Data Bank. " The system is referred to as
SAROAD, i. e. , Storage and Retrieval of Air Quality Data. The S AROAD system
is designed to permit rapid retrieval of air quality measurements made anywhere
in the United States; thus, data entered in the system become readily available
for use in a broad range of research projects.
Those familiar with the status of air quality data handling activities at the
Federal, state, and local levels, have long recognized the need for standardiza-
tion of procedures. Data handling procedures range from recording results in
loose-leaf notebooks to highly automated systems employing punched cards and
magnetic tapes in conjunction with high speed electronic computers. In many
instances the inability to handle air quality data quickly and efficiently restricts
their full utilization in air pollution research and control activities. The purpose
of SAROAD is to correct some of these deficiencies and demonstrate solutions to
data handling problems.
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DATA IDENTIFICATION AND CODING
The SAROAD system consists of comprehensive identification codes for
stations and pollutants, a set of data reporting forms to accommodate the variety
of sampling procedures and facilitate the transfer of data to punched cards, input
programs and the resulting data file, and output programs used to list, summa-
rize, and analyze the stored data. Input to the system is basically from punched
cards. The permanent data file is maintained on magnetic tape. Retrieved
information may be tabulated by an on-line high-speed prinfer, punched onto
cards, or recorded on magnetic tape. The SAROAD system is designed for use
with the Honeywell 400 computer, but could easily be adapted for use on a com-
parable or larger computer.
The principal purpose of pollutant identification coding in the SAROAD system
is to facilitate storing and retrieval of air quality data. By redefining the assign-
ment of numbers in the upper categories of the data classification system, com-
panion systems could be set up to handle other types of data such as emissions
inventory data, air pollution effects data, and socioeconomic data. These systems
could prove worthwhile, but should be designed as separate, parallel systems, not
as appendages to the air quality data file system.
To store large quantities of diverse information on magnetic tape and ensure
the preservation of unique identity, numerical identification codes are employed.
These codes identify location of sampling stations, specific pollutants, and the
sampling and analytical methods used in making the determinations.
STATION LOCATION IDENTIFICATION
The SAROAD system employs an eight-digit numerical code to identify specific
sampling locations:
STATE AREA SITE
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State
State names are arranged in alphabetic sequence and assigned numbers from
1 to 52. To maintain consistency, both the District of Columbia and the territory
of Puerto Rico are considered as separate states.
Area
Within each state the names of all incorporated areas with a population of
more than 2500 and all counties are arranged alphabetically and assigned a four-
digit number. County codes are used only for stations located outside incorpo-
rated areas. To provide sufficient flexibility to accommodate new urban areas,
the first city (or county) in each state is assigned the number 0020, and next 0040,
etc. Such a procedure enables the addition of up to 19 names between any two
names now on the list. Thus, any city or county in the country is identified
uniquely by a six-digit number. For example, the numerical code for Burming-
ham, Alabama, is 010380; Cincinnati, Ohio, is 361220; and the unincorporated
area of Hamilton County, Ohio, is identified as 362720. A sample page of the
station identification code is shown as Figure 1. A detailed station coding manual
has been prepared and published as a separate publication. *
Site
Specific sampling sites are designated by a two-digit number that permits a
maximum of 99 sites in each city or county area within a state.
Site Identification Record
Prior to the acceptance of any data for inclusion in SAROAD, the agency
responsible for collecting the data will be requested to complete a site location
identification sheet (Figure 2). This information is primarily descriptive, but
provision is made for the incorporation of a geographic coordinate system that
will physically pinpoint site locations by latitude and longitude. After thorough
verification this information is keypunched and added to the master site identifica-
tion file, which is maintained on a separate magnetic tape. The magnetic tape
format of site identification information is shown in Figure 3. A typical example
of site information retrieval is shown in Figure 4.
POLLUTANT IDENTIFICATION
To permit maximum flexibility of both storage and retrieval, each pollutant
*SAROAD Station Coding Manual. U.S. Dept. of Health, Education, and Welfare,
Public Health Service, NCAPC, Air Quality and Emission Data Program, 5710
Wooster Pike, Cincinnati, Ohio 45227.
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ARKANSAS
• ARK.AN5A5
ASHDOv\N
•ASHLEY
BATESVILLE
•PAXTER
BEMTON
BLYT^EVILLE
•BRADLEY
BRJNKLEY
•CALHOUN
•CARROLL
•CHICOT
•CLARK
CLA3KSVILLE
•CL^Y
*' '(flY
•CRAWFORD
•CHITTENOEN
•r>ALLtt5
Dt A ITT
Dfi?;*,
Ou^'Ab
EL OCSAD
FAYETTEVILLE
FC'DYCF
FQSRfST CITY
04 0020
04 0040
04 0060
04 0080
04 0100
04 0120
04 0140
U4 0160
04 0180
04 CZOO
04 0220
04 0240
04 0260
04 02SO
04 0300
04 C320
04 0340
04 0360
04 0380
04 0400
04 0*20
04 0440
04 0460
04 0480
04 0500
04 0520
C4 0560
04 0580
04 OftOO
04 0620
04 0640
04 0660
04 0680
04 0700
04 0720
04 0740
0* 0760
04 0780
04 0800
04 OS20
0<» 0840
04 0860
04 0880
04 0900
04 C920
04 0940
04 0960
04 0980
04 1000
"GREENE
HAMBURG
HARRISON
HELENA
•HEMPSTEAD
HOPE
HOT SPRINGS
*HOT
•INDEPENDENCE
MZARD
*JACK5ON
JACKSONVILLE
JOWES20RC
*LA*AYF,TTE
LAKE VILLAGE
•LEE
•LIMCOLN
LITTLt SOCK
•LITTLfc
Mt G6 <££
•MADISON
TREE
•MISSISSIPPI
MONTICF.LLC
MCRRILTON
NASH»ILLE
•NEVADA
NORTH LITTLE
•OUACHITA
OSCEOLA
PARARCULD
PARIS
•PERRv
•PHILLIPS
04 1020
04 1040
04 1060
04 loeo
04 1100
04 1120
04 1140
04 1160
04 1180
04 1200
04 1220
04 1240
04 1260
04 1260
04 1300
04 1320
04 1340
04 1360
04 1380
04 1400
04 1420
04 1440
04 1460
04 14BO
04 1500
04 1520
04 1540
04 1560
04 1583
04 1600
04 1620
04 1*40
04 1660
04 1680
04 1700
04 1720
04 1740
04 1760
04 1780
04 IP00
04 1820
04 1840
04 i860
C4 1880
04 1900
04 1920
04 1940
04 1960
04 I960
04 2000
Figure 1. Typical sampling station identification codes (*denotes counties).
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SEC-1001 (Cin)
(Rev. 11/66)
DFPARTMENT OF HEALTH. EDUCATION. AND WELFARE
Pub Iic Health Service
Robert A, Taft Sanitary Engineering Center
AIR QUALITY DATA BANK
SITE LOCATION DESCRIPTIVE DATA
To Be Co^p'cted by Reporting Agency
Budget Bureau No. 68-R937
Approval expires 4-30-71
Do Not Write Here
i I ) (iO-32) City Name
(23 Characters)
(33-^7) County Name (15 Characters)
C.8-63) State Name (16 Characters)
6U 65 66 67 68 69 70
(6«-70) Populate
Station Cod°
I I I I I I MJ
St Station Site
P T
I I I I I
(7I-7H)
S M S A Act
I I I I I D
(75-78) (80)
EL
(l) (10-50) Sampling Site Address (41 Characters)
Sampling Site Address (Contd)
(51-58) Long. (7 Numbers) (59-65) Lat. (6 Numbers)
INDUSTRIAL. RESIDENTIAL, COMMERCIAL, SUBURBAN, NONURBAN
Typc Station Circle one or more of tha above
(A)
E'evation of Sampler above ground in feet
(B)
Elevation of Sampler above mean sea level feet
Station Code
i .......
(2-9)
Longitude
i.i n
(51-58)
.ati tude
Latitude
i • n i • i
D M S
(59-65)
Type Elev (A)
I I I I I I I I I I
(66-69) (70-73)
Elev (B) Act
rrm n
(71-77) (80)
m
(1) (10-73) Supporting Agency (6t Characterf)
Station Code
Necissar) for nonurban stations
ITT I Mill
(2-9)
Act
Action (Col. 80) (~~|
I - Add to Data Fi le L_J
2 - Change Only Recorded Data (80)
3 - Delete
fc.r urban if readily available
Figure 2. Site location identification form.
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SEC 555
(1-62)
SITE FILE LAYOUT - ITEM DESIGN
Title
Remarks n = decimal, a = alpha. 0 = decimal zeroes, b = alpha blank
Page 1 of 3 Modification
"T
11 10
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
' 1 ' ' I ' 1 ' 1 ' ' | • ' 1 '
State (n) Area (n) Site (n) 0 0
Pop. Top. Reg. SMSA ' 1 ' ' 1 ' ' 1 '
Code Code Code Code SMSA (n) Q 0
— Ln) (pi (nl (pi . .
b Population (a)
. Station Name (a.)
1 1 1 ' 1 ' 1 ' 1 ' I ' I ' 1 ' 1
Station Name (a)
Station Name (a)
1 1
County Name (a)
County Name (a)
1 1 ' 1 ' 1 ' 1 ' 1 ' 1 ' 1 ' 1
State Name (a)
1 I • | • I ' | ' I ' I ' i ' i
State Name (a)
r i . | 1 | , , | 1 • i •
Supporting Agency (a)
i | i . 1 , . • , 1 • i •
Supporting Agency (a)
I •- '-'- r -• • • i — 1 ' | • ' 1 ' ' 1
Supporting Agency (a)
Supporting Agency (a)
i 1 i | i 1 , - - | 1 ' I '
Supporting Agency (a)
— | ' 1 ' 1 — ' — | ' ' 1 1
Supporting Agency (a)
i . . .1,1.1. i
8 76543
1 ' 1 '
0 0
0 0
1 I 1 •
1 ' 1 '
1 1 '
b
II'
1 1 '
b
1 ' 1
1 1 '
, i , _, —
1 ' 1
1 1
1 1 '
4 . .
1 ' 1 '
1 1
I.I.
2 1
Figure 3. Magnetic tape format of site identification.
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SEC 555
(1-62)
Title
SITE FILE LAYOUT
ITEM DESIGN
Remarks n = decimal, a = alpha, 0 - decimal zeroes, b = alpha blank
Page 2 of 3 Modif i cati on
12
11 10
' 1
' 1
1 ' 1 ' 1 ' 1
Supporting
1 ' 1 ' 1 ' 1
Supporting
1 ' 1 ' 1 1 1 '
Sampling Site
• i • l • l • l • l
Agency (a)
i | 1 l • 1 • l ' i •
Agency (a)
. | • | • | . | • | •
Address (a)
1 1 ' 1 ' 1 ' 1 ' 1 ' 1 ' 1 ' 1 • 1 • 1
Sampling Site Address (a)
1 1
i
Site
Address (a
1
• 1
• 1
1 1
b
' 1
b
1 1
— i 1 1
1 1
8
1 i 1 . 1 • 1 • 1 i l • 1 i | • i • | •
Sampling Site Address (a)
1 ' 1 ' 1 ' 1 ' l
Sampling Site
1 ' 1 ' 1 ' 1 ' 1
Sampling Site
1 ' 1 ' 1 ' 1 ' 1
b b b
i 1 i 1 i 1 . i . I .
Address (a)
l i
' I i 1 • l • i ' 1 •
Address (a)
i | 1 , . , . | 1 , .
b b b b
1 i 1 i 1 1 1 i 1 . 1 . , . 1 . 1 . , .
Site Abbreviation (a)
1 , • , • , 1 | • 1 • 1 1 1 • , • , ' i •
Site Abbreviation (a)
1 i | . | 1 , , • | 1 | • i - i > i •
Site Abbreviation (a)
1 i | • | 1 | i • , 1 , . , . , 1 | •
Latitude (a)
1 i | i I 1 | . , , 1 , • , - , 1 , '
Longitude (a)
1 i 1 i 1 i 1 i
Elevation (a)
, • , 1 '
SMSA Popul
• , i | . , 1 , •
Station Type (a)
t ,iii • i
7 6 5
i | > | > I • I • 1 •
Height (a)
i I 1 , . , . , 1 , i
ation (a)
i | 1 1 . , . , 1 , r—
b b b b
. 1.1.1. i . l i__
4321
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
Figure 3 (continued). Magnetic tape format of site identification.
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SEC 555
(1-62) SITE FILE LAYOUT - ITEM DESIGN
Ti tl e.
Remarks
Page__L_of__l_Modi f i cati on_
12 11 10 9 8
33
34
35
36
37
T 1 , , r—| r-
For Future Expansion
+-
T—•—i—'—i—'—i—"—i—'—i—'—r
For Future Expansion
T—i—i—•—i—'—r
For Future Expansion
' I ' I • I ' I
For Future Expansion
J 1 1 1 r—T 1 r
' I ' I T I '
For Future Expansion
+
i i
-i| • |• | • | ^
-i 1 r-
i—'—r
4-
I ' l
T—i—i—i—I—i—i—r
+
' • l . ' , I • 1 , 1 ,—I . 1 . 1 • L
Figure 3 (continued). Magnetic tape format of site identification.
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STATION
MTE
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is identified by a five-digit code number. This code permits a family-tree-type
subcategorization of pollutants. Such an arrangement provides for ease of retrie-
val by allowing the recall of data for a single pollutant or an entire class of pollu-
tants with a single request card. For example, if the letters A, B, C, and D
represent the five digits designating a pollutant, the following distinction is
possible:
ABC D
A denotes 1 of 9 major classes.
AB denotes 1 of 81 subclasses.
ABC denotes 1 of 729 families.
ABCD denotes 1 of a possible 72, 171 individual pollutants.
A pollutant catalog now being prepared assigns code numbers to all com-
pounds that are known to exist in the ambient atmosphere. The overall system is
capable of storing information for over 72, 000 specific pollutants. Since fewer
than half of the pollutants will be specified initially, ample room is provided for
future expansion. An example of a pollutant family tree is presented in Figure 5.
The family-tree type of subcategorization presents a logical system of
indexing the pollutant catalog. The index is composed of four phases, the first
of •which is an index for the nine major divisions of air contaminants shown in the
top row of Figure 5.
The second phase codes the nine possible subclasses within a major class
(row B, Figure 5). The third phase codes nine possible families within a subclass
(row C, Figure 5). The forth phase provides the final two digits to complete the
pollutant code. As an example, the individual pollutant codes assigned in the
metals family of the inorganic subclass in the suspended particulate major class
are listed in Table 1.
Complete codings for a number of the more common pollutants are listed
in the appendix. Anyone wishing to report data on any pollutants not included here
may obtain the appropriate code from the Air Quality and Emission Data Program,
NCAPC.
SAMPLING AND ANALYTICAL METHOD IDENTIFICATIONS
For many specific pollutants, sampling methods and analytical procedures
for determining atmospheric concentrations have not been standardized. As a
result, it is generally not sufficient merely to cite the measured concentration of
11
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MAJOR CLASS
AERO-
METRIC
SAMPLE
1AJ © © © ©
SUSPENDED
PARTICULATE
SETTLED RESPIRABLE GAS AND
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ALLERGENS
BIOCIDES
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PHYSICAL
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ALLERGENS
INORGANIC AND ORGAN ICS BY
BIOLOGICALS SOLUBILITY
ATMOSPHERIC
AND BASIC
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Figure 5. Breakdown of pollutants by major class, sub class, and family.
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(A)
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CHARACTER-
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Figure 5 (continued). Breakdown of pollutants by major class, sub class, and family.
-------
0
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Figure 5 (continued). Breakdown of pollutants by major class, sub class, and family.
-------
(A)
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Figure 5 (continued). Breakdown of pollutants by major class, sub class, and family.
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Figure 5 (continued). Breakdown of pollutants by major class, sub class, and family.
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Figure 5 (continued). Breakdown of pollutants by major class, sub class, and family.
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PRECIPITA-
TION AND
MISCELLA-
NEOUS
SUB CLASS
(B)
0
PHYSICAL
(A)
CHEMICAL
©©©©!©
ECONOMIC
BASIC INTER-
RELATION-
SHIPS
© i®
©
©
FAMILY
© 1© 1©
© 1®
©
© 1®
Figure 5 (continued). Breakdown of pollutants by major class, sub class, and family.
-------
©
MAJOR CLASS
©
SUSPENDED
PARTICULATE
SETTLED
PARTICULATE
©
0
0
0
RESPIRABLE
DUST
©
GAS AND
VAPORS
ALLERGENS
BIOCIDES
PATHOGENS
ATMOSPHERIC
AND
INTERRELATED
PARAMETERS
BASIC
EFFECTS
FRACTIONAL
PARTICULATE
PRECI PITA-
TION AND
MISCELLA-
NEOUS
FRACTIONAL
PARTICULATE
SUB CLASS
®
©
PHYSICAL
PROPERTIES
©
INORGANIC
© ©
ALLERGENS
AND
BIOLOGICALS
ORGANICS
BY
SOLUBILITY
© © © © ©
CHARACTER-
ISTICS OF
ORGANICS
ALIPHATIC
COMPOUNDS
AROMATIC
COMPOUNDS
HETERO-
CYCLIC
COMPOUNDS
FUNCTIONAL
GROUPS
FAMILY
©
©
Cz)
©
1®
Figure 5 (continued). Breakdown of pollutants by major class, sub class, and family.
-------
(SJ
o
(A)
MAJOR CLASS
0 ©
SUSPENDED
PARTICULATE
SETTLED
PARTICULATE
AERO-
METRIC
SAMPLE
© ©
RESPIRABLE
DUST
GAS AND
VAPORS
(T)
ALLERGENS
BIOCIDES
PATHOGENS
©
ATMOSPHERIC
AND
INTERRELATED
PARAMETERS
©
BASIC
EFFECTS
©
FRACTIONAL
PARTICULATE
©
PRECIPITA-
TION AND
MISCELLA-
NEOUS
-1 — . —
SUB CLASS
©
©
©
©
]©.
PHYSICAL
PROPERTIES
SIZE
DISTRIBUTION
AND COUNT
SIZE
DISTRIBUTION
AND COUNT
FAMILY
©.
©
©
©
Figure 5 (continued). Breakdown of pollutants by major class, sub class, and family.
-------
Table 1. EXAMPLE OF CODES BY CLASS AND FAMILY. MAJOR CLASS,
SUSPENDED PARTICULATE; SUB CLASS, INORGANIC; FAMILY, METALS5
Name
Alumi num
Antimony
Arseni c
Bar!urn
Beryl 1i um
Bi smuth
Boron
Cadmi um
Calci um
Ceri um
Ces ium
Chromi um
Cobalt
Copper
Dyspros i um
Erb i um
Europi um
Gadoli ni um
Gal 1i um
German i um
Gold
Hafni um
Holmi um
I ndiu.m
I ridium
I ron
Lanthanum
Lead
L i th i um
Luteti um
Magnes i um
Manganese
Mercury
Molybdenum
Neodymi um
Nickel
Niobi um
Osmium
Palladi um
Plati num
Potass ium
Praseodymi um
Protacti ni um
Rad i um
Rheni um
Rhodi um
Rub idi um
Rutheni um
Samari um
Scandi um
SiIver
Sodi um
Stronti um
Symbol
Al
Sb
As
Ba
Be
Bi
B
Cd
Ca
Ce
Cs
Cr
Co
Cu
Dy
Er
Eu
Gd
Ga
Ge
Au
Hf
Ho
In
Ir
Fe
La
Pb
Li
Lu
Mg
Mn
Hg
Mo
Nd
Ni
Nb
Os
Pd
Pt
K
Pr
Pa
Ra
Re
Rh
Rb
Ru
Sm,Sa
Sc
Ag
Na
Sr
Code
12101
12102
12103
12104
12105
12106
12107
12108
12109
12110
12111
12112
12113
12114
12115
12116
12117
12118
12119
12120
12121
12122
12123
12124
12125
12126
12127
12128
12129
12130
12131
12132
12133
12134
12135
12136
12137
12138
12139
12140
12141
12142
12143
12144
12145
12146
12147
12148
12149
12150
12151
12152
12153
21
-------
Table 1 (continued). EXAMPLE OF CODES BY CLASS AND FAMILY. MAJOR
CLASS, SUSPENDED PARTICULATEj SUB CLASS, INORGANIC; FAMILY, METALS3
Tantalum Ta 12154
Tellurium Te 12155
Terbium Tb 12156
Thallium TI 12157
Thorium Th 12158
Thulium Tm 12159
Tin Sn 12160
Ti tani um Ti 12161
Tungsten W 12162
Uranium U 12163
Vanadium V 12164
Ytterbium Yb 12165
Yttrium Y 12166
Zinc Zn 12167
Zirconium Zi 12168
Unit of concentration is uc
a pollutant. It is essential to provide an indication of the sampling methods and
analytical procedures used to permit valid comparison of results.
The SAROAD system utilizes a two-digit identification for the method of
determination for each individual pollutant. The first digit designates thesampling
method, and the second, the analytical method. Such a system thus provides for
nine sampling and nine analytical methods for each pollutant. Codes for the more
common collection and analytical methods are included with the pollutant codes in
the appendix.
22
-------
REPORTING DATA
Any of three methods may be used in submitting data for inclusion in the
SAROAD data file: (1) data record forms, (2) punched cards, and (3) magnetic
tape. Data record forms are appropriate when a limited amount of data is to be
submitted or the contributing agency has not yet incorporated automatic data pro-
cessing procedures. In many cases, it is anticipated that the contributing agencies
will acquire facilities for key punching data for their own use and can easily submit
their data on cards punched in the SAROAD format. The punched-card method is
preferred because of the volume of data from diverse sources to be received as
input to the SAROAD system. The only magnetic tape format considered accept-
able at present is that generated by the Honeywell 400 computer. It is doubtful
that many participants will have immediate access to such a computer.
DATA RECORD FORMS
Because of the diversity in air sampling methods, several standard report-
ing forms have been designed, and considerable flexibility exists for recording a
wide variety of air quality data. It is hoped that local agencies will be able to
select a form, or forms, that -will be suited to their own needs and will, at the
same time, eliminate laborious transcribing in order to submit data to the national
data storage file. Indeed, -when a local agency that uses record forms carries
its data handling to the next logical step, that is, generating punched cards for
its own immediate data analysis and interpretation, the data can be submitted by
simply duplicating the deck of punched cards.
The provisions for coding sampling methods and analytical techniques have
already been described. Diversities in coding sampling interval and classifica-
tions of source are shown in Table 2.
The record forms are described in the following order:
Figure 6: FORM 4. One day's record for a site where only a single pollu-
23
-------
Table 2. CODES FOR IDENTIFICATION OF SAMPLES
Time interval
1. 1-hour data
2. 2-hour data
3. 4-hour data
4. 6-hour data
5. 8-hour data
6. 12-hour data
7. 24-hour data
8. Monthly data
9. Quarterly data
Classification (Class)
1. Routine scheduled
2. Nonroutine or extra
3. Weather Bureau Air Pollution Alert
4-9. (Future expansion)
Card number (CD)
(Used only when reporting hourly data)
1. Designates a.m. sampling
2. Designates p.m. sampling
Category of contributing agency (Source)
01. National Air Surveillance Networks
02. City network
03. District network
04. State network
05- CAMP
06.
07- Economic Effects Research Program
08. Health Effects Research Program
09. Abatement Program
10. Private agency
11.
12. U.S. Weather Bureau
13-99. (Future expansion)
tant is measured over time intervals of 1, 2, 4, 6, 8, or 12
hours. (5- by 7-inch card)
Figure 7: FORM 5. Measurements on as many as 40 different pollutants
or sample fractions taken at a single site, collected over a
common time interval of 24 hours or more. (5- by 7-inch card)
Figure 8: FORM 6. Monthly record, measurements on as many as five
different pollutants, or sample fractions taken at a single site,
collected over a common time interval of 24 hours or more.
(8-1/2- by 11-inch sheet)
24
-------
SEC-1002-I
(2-66)
(Cin)
DEPARTMENT OF HEALTH, EDUCATION, AND WELFARE
Public Health Service
Robert A, Taft Sanitary Engineering Center
AIR QUALITY DATA BANK RECORD
Budget Bureau No. 88-R937
Approval expires 4/30/71
(Less Than 24 Hour Samplinq)
in i
(1) Station Name Yr. Mo. Day
( Start Date)
S i te Loca 1 1 on
Pnl Unit
Mothnrl
Values Values
1 (29-32) 7
2 (33-36) 8
3 (37-40) 9
t (41-44) 10
5 (45-H8) "
(49-52) '2
St
Station Code
Station
(2-9)
Start
Hour
^ 10- u i
Pol Code
(5
(5
(6
(6
(21-25)
3-56)
7-60)
1-64)
5-68)
(69-72)
(73-76)
3_
Sample Date
! 1 1
Site Yr Mo Day
(10-15)
CO Source
D CD
(18) (19-20)
Method DP
: L
II II
(26-27) (28)
Time Cl ass
D D D(BO)
(77) (78) Act
1 Add To Data File
2 Change Only Recorded Data
3 - Delete
DP - Number of digits to
432
3 2 10
Figure 6. Data record form for single pollutant measured at single site
during intervals of less than 24 hours.
Figure 9: FORM 7. One day's record for a site where as many as four
different pollutants or sample fractions are measured over a
common time interval of 1, 2, 4, 6, 8, or 12 hours. (8-1/2-
by 11-inch sheet)
Figure 10: FORM 8. Monthly record of consecutive measurements of one
pollutant over an interval of 1, 2, 4, 6, 8, or 1Z hours.
(8-1/2- by 11-inch sheet)
The identifying form number is found in the first card column position of
each form. Measurement values can be recorded to four significant digits with
the decimal point location designated according to the number of digits to the
right of the decimal (from zero through 4*). No provision is made for storing
#The SAROAD system can accommodate data requiring more than four places to
the right of the decimal point. Contact NCAPC for details.
25
-------
SEC-I 002-2 (Cin) DEPARTMENT OF HEALTH, EDUCATION, AND WELFARE
(2-66) Public Health Service
Robert A. Tart Sanitary Engineering Center
AIR QUALITY DATA BANK RECORD
( 2U Hour or Greater Sampling)
Station Code
Budjet Bureau No. 6B-R937
Approval g«pi rts 4, 30 71
Sample Date
171 1
( 1) Station Name Yr Mo Day
(Start Time)
1
1
1
St Station Site Yr
(2-9)
Time Class Source
(16) (17) (18-19)
1
Mo Day
10-15)
Filter
Site Location Hours Sampled
Pollutant
Method
Un
t
Pol Code
Method
Value
DP
(20-3
(32-4
(Ht-5
(56-6
(68-7
Action (Col 80) *
I = Add to Data File ' Act
2 = Change only Recorded Data
3 = Delete
DP Number of digits to right of decimal.
Figure 7. Data record form for multiple pollutants measured at a single
site during common time intervals of 24 hours or more.
raw data on measurements over sampling intervals of less than 1 hour. Short
interval measurements such as the 5-minute Continuous Air Monitoring Program
(CAMP) data can be reduced to hourly averages and stored in that form. If the
stored data are derived from more detailed measurements, a footnote on the
retrieval output will indicate its nature and where it may be obtained.
Form 4 (Figure 6) is intended for recording consecutive measurements on
one pollutant over intervals of 1, 2, 4, 6, 8, or 12 hours during 1 day when the
sampling dates are irregular and/or infrequent. For example, twelve 2-hour
Coh unit readings (pollutant code 11201, method code 91) for a day can be put on
Form 4. If 1-hour readings of a pollutant are put on this form, two cards will be
needed; one for measurements taken during a.m. hours and identified by a 1 in
card-column position 18 (CD), and the other for the p.m. readings and identified
by a 2 in position 18. Position 18 is left blank when sampling intervals longer
than 1 hour are used. Pollutant values are entered consecutively, starting with
position 29. If, for example, a series of 4-hour readings are taken beginning at
6 a.m. , the first reading is entered in Item 1 (positions 29-32) and the start hour,
06, is designated in positions 16 and 17. The time interval code, in this case a 3,
26
-------
SEC-1002-4 (Cin) DEPARTMENT OF HEALTH, EDUCATION, AND WELFARE 6udgel Bu"aU N°' 68""937
(2-66) Public Health Service Approval expires 4/3G/7I
Robert A. Taft Sanitary Engineering Center
(24 Hour or Greater Sampling) AIR QUALITY DATA BANK
MONTHLY RECORD STATION CODE C^OE
n , 111 i rrm
I £ I I C 4- C4.»4<:n«C:«V*.ai- UAH 4- k
St
(I) Station Name
Year Month
Station Site
(2-S
Site Location
Time Class
D D
(14) (15)
Note: M Designates Sampling and Analytical Method
DP = Number of Digits to Riqht of Decimal
Source
m
(16-17)
Year Month
(10-13)
Name)
Po lutant
(Code
Day
58 59
0
0
0
0
0
0
0
0
0
1
i
1
1
1
1
1
1
1
1
2
2
2
2
2
2
?
2
2
2
3
3
1
2
3
it
5
6
7
8
9
0
1
2
3
4
5
6
7
3
9
0
1
2
3
it
5
fj
7
8
9
0
1
C
_L
1 1
(18-22)
M DP
XD
(43-15)
60 61 6263
i* 3
(Name)
Pol lutant
(Code)
1
I
(23-27)
M DP
ZED
(46-48)
64 65 66 67
2 0 432
0
(Name)
Pollutant
(Code)
1
I
(28-32)
M DP
zm
(49-51)
68 69 70 71
4 2
(Name)
Pollutant
(Code)
r
1 1
(33-37)
•1 DP
(52-54)
7273 74 75
(Name
Pollutant
(Code)
IT
(38-42)
M DP
(55-57)
76 77 78 79
0 432 0 43
0
80
Act
Figure 8. Monthly data record form for up to five pollutants measured at a
single site during common time intervals of 24 hours or more.
27
-------
SEC-1002-3 (Cin)
(2-66)
DEPARTMENT OF HEALTH, EDUCATION, AND WELFARE
Publ ic Health Service
Robert A. Taft Sanitary Engineering Center
AIR QUALITY DATA BANK DAILY RECORD
(Less Than 21 Hour Sampling)
Budget Bureau No. 6B-R937
Approval expires 4/30/71
Station Code
(I)
Station Name
Year Month
Site Location
Sample Date
I I I I I I I I I I I I I I
St Station Site Year Month Day
(2-9) (10-16)
Time Class Source
(16) (17) (18-19)
(52-53)
0 0
0
0
fl
0
0
n
0
0
0
i
i
i
i
i
i
i
i
i
2
?
2
J
?
3
1
«i
fi
7
R
9
0
1
?
1
1
5
6
J_
8
9
0
1
?
2 3
(Name)
Pollutant
(Code)
1
I I
( 20-21)
tn
(10-12)
(51-67)
(Name )
Pollutant
(Code)
1 1 1
(26-29)
rVn
(13-15)
(68-61)
!
(Name)
Pollutant
(Code)
(30-31)
M OP
rm
(16-1*8)
(62-65)
(Name)
Pollutant
(Code)
1
1 1 1
(35-33)
M DP
(19-51)
(66-69)
e
c
A
13210 13210
Note: M Designates sampling and analytical method
DP Number of digits to right of decimal point
13210
13210
Figure 9. Data record form for one day's measurement of up to four pollutants
during common time intervals of up to 12 hours.
28
-------
SEC-1002-5 (Cin)
(2-66)
EL
DEPARTMENT OF HEALTH, EDUCATION, AND WELFARE
Public Health Service
Robert A, Taft Sanitary Engineering Center
(Less Than 21 Hour Sampling) AIR QUALITY DATA BANK
MONTHLY RECORD
Station Code
Budget Buieau No. 6B-R931
Approval expires 4 30 71
Date
( I) Station Name
I
Si te Loca t ion
Time* Class Source
n n m
(it) (I5) (I6-I7) Pollutant Name
Location on card specifies starting time
St Station Site Yr Month
(2-9) (10-13)
Pol Code
(18-22)
Method DP
(23-21) (25)
DAY
26 27
CD*
28
0 0
29 30 31 32
33 3135
0
36
0
37 38 39 10
3 0
11 H2 13 m
t 05
15 16 17 18
0
19 50 51 52
6 0
53 51 55 56
7 t
57 58 59 60
8 0
51 62 63 61
9
6566 67 68
-
0
69 70 71 72
1 1
73 71 75 76
80
n
Act.
IN
COL.
-28
I=AM
Figure 10. Monthly record of consecutive measurements of one pollutant during intervals of up to 12 hours.
-------
which represents the 4-hour sampling interval (see Table 2), is placed in position
77. The next reading, for the 10 a.m. to 2 p.m. period, goes in Item 2, etc. If
the value has fewer than four significant digits, the digits must be entered in the
positions farthest right and the remainder of the item filled with zeros. If a
reading is missed or invalidated, the entire field is left blank. Thus, if the read-
ing for the 2 p.m. to 6 p.m. interval is missed, 9's are entered in the third item
(positions 37-40). The fifth value is for the period 10 p.m. to 2 a.m. the next
day (positions 45-48) because each value is associated with the hour in which the
measurement begins. Succeeding values for the next day are recorded on a new
card, and the start hour is designated as 02.
Form 5 is a record card for recording measurements taken over an interval
of 24 hours or longer. As many as 40 pollutants and/or fractions thereof can be
recorded on a single card, provided they are measured at one site simultaneously.
Thus, sulfation rate by lead candle and dustfall measurements at a given site for
the same monthly interval may be reported on the same card. Similarly, analyses
of 24-hour high-volume air samples and 24-hour liquid-impinger measurements
of gaseous pollutants at the same site for the same 24-hour period can be reported
on a single card.
The laboratory of the Air Quality and Emission Data Program records data
from the NASN "hi-vol" network on Form 5. The suspended particulates and
constituent fractions data virtually fill one card; therefore, data on gaseous pollu-
tants are recorded on a separate card.
Form 6 provides space for a month's record of five pollutants and/or frac-
tions collected at one site over a common time interval of 24 hours or more.
Samples collected for more than 24 hours are identified with the date sampling
began.
Form 7 provides space for a day's record of up to four pollutants and/or
fractions collected at one site over a common time interval of one hour or longer,
but less than 24 hours. Positions 52 and 53 identify the 24 hours of the day. If a
sample is collected over an interval of 2, 4, etc. , hours, the sample should be
identified with the hour in which sampling begins.
Form 8 provides space for recording values for one pollutant over an inter-
val of 1, 2, 4, 6, 8, or 12 hours. If 1-hour values are being recorded, two lines
are required. The a.m. values on one line are identified by the numeral 1 in
30
-------
position 28. The p.m. values on the following line are identified by numeral 2 in
position 28. If the sampling interval is 2 hours or more, 1 day's data will fit a
single line and position 28 is left blank. Each interval, 1 through 12, is associ-
ated with a specific hour or group of hours in the day, depending on the time
interval (position 14) specified. The time associated with each interval should be
written at the top of each 4-digit data field. For example, a 4-hour time interval
(code 3) assigns the hours midnight to 4 a.m. to the first interval (positions 29,
30, 31, and 32), 4 a.m. to 8 a.m. to the second interval, etc., through the sixth
interval. The remaining intervals are left blank. If, on a certain date, only one
4-hour sample is taken and sampling is initiated any time between 4 p.m. and
8 p.m. , the value is entered in interval 5 and the other intervals are left blank.
PUNCHED CARDS
When participants in the SAROAD system of data reporting adopt automatic
data processing methods and begin to process their record forms into punched
cards, the data can be submitted to SAROAD in the form of a duplicate deck of the
data cards.
To accommodate agencies that have established automatic data processing
systems with special requirements or limitations necessitating a non-SAROAD
format, specialized input routines will be written as the need arises.
MAGNETIC TAPE
Submission of data already on magnetic tape will require special arrange-
ments, since some special computer programming will be needed unless the
SAROAD system magnetic tape format has been adopted.
Magnetic Tape Data Format
A data item in the SAROAD magnetic tape file consists of all data obtained
by an agency at a single station for samples collected over a common sampling
period or interval on a particular date. A new item is constructed when time
interval or source is changed.
A data record consists of all data pertaining to one station for all time
intervals and from all sources. A new record is constructed when date or station
is changed.
To conserve magnetic tape space, variable length items and records are
used.
31
-------
RETRIEVAL OF DATA
The principal purpose of the national data storage file is to assemble
information from as many sources as possible and thereby broaden the base for
investigating relationships between air pollution and health effects, meteorology,
economic losses, etc. A system of retrieval programs that can scan the data
file tape and pick out all data on a certain pollutant or pollutants for specified
periods, geographic locations, and/or categories of sites is essential.
Retrieval programs, which have been anticipated to be the most frequently
requested, are listed below. Examples of the computer output are shown in the
corresponding figures.
Hourly Averages (Figure 11) - This example shows a full month's listing
of hourly averages for a pollutant, with daily averages shown at the right and
hourly averages across the bottom. The bottom line of averages is the diurnal
pattern for the period summarized, which, in this case, is 1 month. In similar
manner, diurnal patterns for seasons, Sundays in contrast to weekdays, etc. can
be obtained.
Frequency Distribution, Annual (Figure 12) The nine columns marked
"Frequency Distribution1' in this tabulation list the frequency of occurrence of
values equal to or less than the concentration shown under a given percentile.
For example, the first line shows that calculations based on 25 samples of
suspended particulate matter collected in the year 1957 in Birmingham, Alabama,
indicate that the daily average concentration of suspended particulates was 166
yg/m or less 70 percent of the time. Conversely, concentrations could be
expected to exceed 166 ug/m 30 percent of the time. Columns to the left and
right of the decile columns show the minimum and maximum individual sample
concentrations. To the right, the arithmetic mean, geometric mean, and stand-
ard geometric deviation are listed. These geometric parameters are appropriately
33
-------
CONTINUOUS AIR MONITORING PROGRAM
flif Quality Section, Laboratory ol Er^'peering and Physical Sciences
Division ol Air Pollution, Public Health Service
U S Department ol Health. Education and Welfare
Robert A Taft Sanitary Engineering Center
Cincinnati, Ohio 45226
HOURLY AVERAGES OF
GASEOUS POLLUTANT CONCENTRATIONS
CONCENTRATION IN PPM
FLAME IONIZATIQN ANALYSIS
PM1I_AOELPH!A»PA.
TOTAL HYDROCARBON
MAY 1966
DAY
MONTH
1*
2
3
6
7»
8ft
9
10
11
12
13
14*
19*
16
17
18
19
20
21*
23
24
29
26
27
2B*
29*
30
31
MEAN
NO
\2 1
2.5
2.0
1 «.
1.8
2.7
1.7
1.6
2.2
2.2
1.9
2.0
1.7
2.4
3.6
2.8
2.9
2.1
5.0
2.2
30
• 0
-
2.6
2.4
2.5
1.7
2.0
1.6
2.0
2.6
1.9
2.1
2.3
2.6
5.5
3.8
2.6
2.2
1.8
4.1
2.0
2.3
30
2 3
3.1
2.3
1.5
2.8
5.1
2.9
2.0
3.6
3.9
2.4
1.8
2.7
4.8
4.4
2.5
2.6
-_-
4.5
2.1
29
3-4
2.8
2.2
1.5
2.8
3.4
2.9
2.0
4.0
3.2
2.8
1.8
2.3
3.9
5.9
2.6
3.8
2.7
28
4-5
2.6
2.5
1.5
3.1
2.3
1.9
2.0
3.3
2.0
2.3
1.7
2.3
3.2
4.6
2.2
5.0
28
A
5-6
2.5
3.0
1.5
3.1
2.3
1.6
1.7
1.8
2.0
3.0
1.9
3.1
1.9
2.4
3.2
6.4
2.0
2.8
1.3
29
M
6-7
2.3
3.7
2.7
2.3
1.7
2.0
1.7
2.0
2.9
2.2
2.8
2.0
2.6
4.6
6.1
2.4
2.5
30
7 3
2.2
4.0
2.3
2,6
1.9
2.1
1.7
2.2
3.0
2.4
2.5
2.5
3.1
4.1
4.8
29
8-9
2.1
3.3
2.4
2.6
1.9
2.3
2.9
2.3
2.9
2.4
2.4
2.8
2.9
4.3
3.3
4.4
1:1
30
-3-10
2.0
2.5
2.4
2.4
1.9
2.3
7.7
2.1
2.3
2.2
2.1
2.6
3.3
2.9
4.0
2.2
'
30
10-11
2.0
2.2
2.3
2.3
3.2
2.1
2.2
2.1
8.3
3.0
2.6
3.8
2.3
4.0
2.1
2.8
3.1
29
1 1-12
2.0
2.0
2.3
2.5
2.1
2.2
2.1
2.1
5.8
8.0
3.0
2.8
4.2
2.3
3.1
2.1
1.2
30
12-1
1.8
1.6
2.3
2.5
2.1
2.1
2.1
3.5
2.5
3.4
2.6
2.3
2.4
2.2
28
1-2
1.9
2.3
2.4
2.1
2.0
2.0
2.2
2.0
2.1
2.3
2.2
2.6
27
2-3
1.9
2.0
2.3
2.4
2.0
2.0
2.0
2.0
2.0
3.0
2.3
2.2
2.2
2.0
29
3-4
1.9
2.0
2.1
2.3
2.0
2.1
2.0
2.0
3.3
2.1
2.1
2.2
29
4-5
1.9
2.0
2.0
2.1
2.0
2.2
2.1
2.0
3.2
2.1
1.9
2.2
3.6
2.2
29
p
5-6
1.9
2.0
2.0
1.9
2.3
2.0
2.1
2.2
2.0
1.8
3.3
2.0
1.8
2.0
2.0
2.1
30
M
6-7
1.8
2.1
1.8
2.0
2.1
2.2
2.0
1.8
3.3
1.9
1.7
1.7
1.8
2.0
30
7-8
l.B
2.1
2.1
1.9
2.1
2.2
1.9
l.B
4.3
2.4
2.0
1.7
2.1
29
8-9
1.8
2.1
1.7
1.8
2.1
2.2
1.9
1.8
5.2
3.3
2.2
1.8
1.9
1.7
30
9-10
1.8
2.1
2.1
1.7
2.1
1.7
2.1
2.3
2.0
2.0
1.8
2.8
4.5
3.6
2.1
1.9
1.8
2.2
31
10-11
1.8
1.9
2.6
1.7
1.6
2.2
2.3
2 0
2.0
2.2
1.8
2.8
4.1
4.3
2.2
2.2
2.0
1.7
2.2
31
1112
1.8
1.6
1 7
2.7
1.7
1.6
2.3
2.1
2 0
1.9
2.2
1.8
2.0
2.7
*.2
3.5
2.2
2.6
1.8
1.6
30
MEAN
2.11
1.71
2.37
1 So
2.41
2.36
1.64
2.09
1.98
2.41
2.12
2.72
2.40
2.65
2.15
2.15
2.69
3.17
3.38
3.12
1.80
2.55
2.05
3.50
3.71
2.69
2.33
1.85
1.33
1.72
2.40
3.71
NO
OF
MRS
24
24
20
i a
IB
22
74
19
19
22
24
24
23
24
24
24
24
23
23
24
24
19
22
24
24
24
24
24
24
24
ros
* Indicates Saturday or Sunday
Local standard time used
TABULATED WED.. MAY lOf 1967
Figure 11. Readout of hourly summary of pollutant concentrations.
-------
loialion:
Region, Slate
or Station
"""SHIMON*.,
MOBILE
MONTGOMERY
Ul«ioR«GE
IDlIOKt
PHOENIX
TUCSON
LlTTLt »OC«
BEBHELEY
BURB4NK
FStSKO
GLtNDALE
LONG BE»CH
Years
7
6
9
0
1
7 61
,
0
6 60
9
1
59 61
57
56
59
60
61
57 61
57
58
59
60
61
57 61
60
61
60 61
57
56
59
60
61
57 6
59
61
59 6
57 -.
60
57 6
58
60
58 6
59
61
59 6
Number
ol
iampln
25
20
26
25
26
12Z
25
25
50
25
26
51
26
26
25
26
25
129
26
23
25
25
26
125
25
23
48
26
26
26
26
25
129
25
26
51
25
26
51
24
25
49
24
24
48
Mcrograms Per Cubic Meter
Mm
50
46
31
38
47
31
62
29
29
44
26
26
40
24
16
16
1'
16
119
95
60
96
93
60
36
57
36
34
44
31
2»
33
29
26
20
20
4
49
41
IS
45
16
93
54
54
158 2' 48
Frequency Oislntulion— Percent
il
64
54
50
64
57
54
76
46
54
57
42
45
45
27
32
26
25
27
133
107
117
117
107
113
66
64
66
43
54
50
32
40
4
38
36
36
90
10
90
19
6
5
10
5
7
9
H Zb 65 76
LOS ANGELES
58 ii
57
56
59
60
61
57 61
•^ «6
24
ii
23
25
26
119.
8?
ill
70
50
63
50
76
99
127
90
90
99
99
10
62
96
64
72
64
'1
90
54
73
64
50
56
59
45
15
31
26
37
145
122
135
127
115
127
76
94
90
54
61
57
36
45
51
45
40
42
101
135
112
70
76
72
127
70
95
127
90
96
139
151
107
110
107
116
30
90
107
99
83
73
90
97
76
92
6*
57
61
90
65
45
36
36
45
170
135
180
166
12'
151
114
103
104
59
66
64
54
50
59
64
50
55
120
155
137
83
90
87
143
63
105
145
100
114
16
170
11
11
13
13
(0
101
117
117
90
94
106
102
99
101
73
60
66
127
96
50
64
41
67
197
151
197
187
160
191
127
112
118
62
72
67
58
54
66
72
57
63
139
163
156
101
10
101
180
99
127
156
107
136
16
19
12
12
14
15
-T
U
117
127
143
120
107
121
117
133
120
80
64
73
160
127
64
63
45
86
230
206
227
207
227
218
141
127
132
76
63
72
64
76
73
107
64
74-
166
176
172
110
115
112
1»4
107
144
160
133
155
206
222
15
156
158
170
10
127
197
170
151
127
151
151
145
146
87
73
60
234
145
• 3
96
64
112
254
222
254
234
247
241
151
139
146
87
99
76
76
!>2
63
117
76
110
160
1*4
166
117
123
120
207
127
168
19
15
173
25
23
17
16
16
16
JO
166
234
187
160
151
178
254
166
160
91
61
90
266
160
117
107
76
142
273
238
302
302
264
271
160
151
163
99
107
97
65
90
96
133
117
12
206
20
20
12
13
13
23
14
19
20
16
19
28
25
19
16
17
20
10
175
359
207
214
203
209
302
180
236
107
96
102
302
214
127
166
107
185
302
254
325
376
292
307
222
166
160
120
127
107
101
1 f
110
145
139
14
25
24
24
15
15
15
1-,
16
22
23
19
21
30
27
21
19
19
25
10
214
4Zf
254
266
254
261
427
24 1
30*
139
107
122
325
234
151
197
151
254
393
331
359
427
321
374
246
197
230
135
139
117
117
139
13
19
15
16
35
27
33
21
17
17
30
21
26
39
21
25
34
26
30
23
21
26
Mai
285
640
449
400
306
640
485
264
465
165
157
165
336
467
2*1
269
243
487
488
410
410
573
449
573
521
30!
521
170
190
155
14
1 t>
19
22
26
26
43
36
43
37
30
37
49
26
49
56
26
56
36
29
59
34
30
59
Arifh
Mean
130
211
153
146
131
152
165
129
157
87
72
79
161
136
63
97
66
114
247
201
232
247
214
229
157
131
145
64
92
79
72
76
8
10
6
9
16
1"
16
12
11
12
20
12
16
19
14
16
21
21
16
15
16
16
c«
Mean
117
163
125
122
113
126
150
10!
127
62
67
74
144
106
65
74
54
g 1
226
let
208
219
195
207
135
121
12!
77
65
74
66
70
74
66
7
7
15
17
16
9
10
10
16
11
14
16
13
14
20
20
15
14
1 1
16
Sid
da
lev
.59
.0'
.95
.66
. 75
.65
.91
.69
,93
.40
.49
.46
.12
.19
.07
.1'
.96
.27
.52
,49
.66
,65
.57
.56
.75
.50
.63
.54
,46
.46
.57
.60
.53
1.79
1.93
1.86
1.60
1.55
1,67
2.03
1.54
1.79
1.53
1.55
1.64
1,74
1.49
1.64
1.55
1.34
1.63
1.55
1.36
1.5Z
Figure 12. Readout of annual frequency distribution.
35
-------
used in describing the data because measurements of air quality are distributed
more nearly in a "log-normal" pattern than in any other. These parameters are
simply the antilogs of the average logarithm and standard deviation of the loga-
rithms of the raw data. In most cases the value at the 50th percentile more nearly
approaches the geometric mean than the arithmetic mean. The arithmetic mean
tends to be disproportionately inflated by occasional high values that are charac-
teristic of ambient air pollutant measurements.
Frequency Distribution, Seasonal (Figure 13) - This summary is the
result of the same calculations as in the annual frequency distribution, but the
data are grouped by season. All December, January, and February data are
combined in the winter season; March, April, and May are grouped as spring;
June, July, and August are grouped as summer; and September, October, and
November are grouped as autumn.
Monthly Summary (Figure 14) - This tabulation lists the number of samples
collected during the period requested, the maximum and minimum individual
sample concentrations, and the average by month.
A simple listing of the data on tape can also be obtained. An example of
such a listing is shown in Figure 15, although the exact format may vary with the
data requested.
Additional retrieval and summary programs are under consideration and
will be developed as warranted by interest and need.
In order to obtain data summaries from the file, a request, •which specifies
information needed to prepare two request cards for the computer run, is sub-
mitted.
The descriptor card (Figure 16) defines the computer program desired
(positions 1-30), the geographic and/or site classifications to be included (posi-
tions 31-47), and the beginning and terminating dates of the period for which data
are to be summarized (positions 48-59). Options for cumulative results of the
data being tabulated (position 60) and for headings to be printed on each page
(position 61) are provided.
The parameter card (Figure 17) defines from one to seven pollutants on
which summaries are desired (positions 1-5, etc.); the methods of sampling and
analysis (positions 6 and 7); the sampling interval (position 8); the classification,
36
-------
location:
Region. Slate
or Station
LONG 8E»CH
LOS ANGELES
0«KL»ND
PASADENA
«IC"*OND
SACRAMENTO
SAN BERNARDINO
SAN DIEGO
SAN fRANCISCO
SAN JOSE
STOCKTON
COLORADO
OF w vf B
Season',
WINTER
SPRING
SUMMER
AUTUMN
58 61
WINTER
SPRING
SUMMER
AUTUMN
57 61
WINTE"
SPRING
SUMMER
AUTUMN
it 61
WINTER
SPRING
SUMMER
AUTUMN
57 60
WINTER
SPRING
SUMMER
AUTUMN
5S 60
WINTER
SPRING
SUMMER
AUTUMN
58 60
WINTER
SPRING
SUMMER
AUTUMN
57 61
WINTER
SPRING
SUMMER
AUTUMN
57 61
WINTER
SPRING
SUMMER
AUTUMN
57 61
WINTER
SPRING
SUMMER
AUTUMN
57 61
WINTER
SPRUG
SUMMER
AUTUMN
is is
WtNTCR
SPRING
SUMMER
AUTUMN
57 61
Number
of
Samples
11
14
l«
12
51
26
35
28
28
11'
11
14
ie
14
74
13
l«
10
12
49
12
10
14
12
48
13
12
12
1«
51
18
17
ie
16
61
21
30
33
32
124
32
33
33
30
12»
11
11
19
20
77
6
7
6
7
?t
32
32
26
31
12J
Mcngrtms Per Cubic K:ler
Mn
61
• 8
69
106
«8
58
83
93
50
50
53
23
J5
57
23
63
38
7?
Ill
38
28
11
38
36
19
11
1«
32
2?
11
35
62
102
53
35
55
27
45
50
27
35
34
20
30
20
23
27
50
66
23
20
35
79
94
?o
56
15
57
39
15
Frequency Distribution— Percent
10
M
54
76
107
76
49
93
no
117
99
5»
35
45
67
47
64
38
90
111
64
30
14
38
38
35
11
15
32
2J
32
45
83
151
151
83
64
36
47
54
52
48
38
24
40
34
27
32
54
83
50
23
38
90
107
45
76
48
66
54
60
10
107
76
90
161
96
127
101
118
155
116
IT
45
64
73
»5
83
59
135
115
90
32
27
54
54
42
45
16
38
76
48
64
90
170
166
114
83
55
55
64
59
57
42
30
46
42
38
59
76
93
76
23
38
90
10T
70
99
59
72
68
73
10
127
90
J07
180
u«
139
U5
12«
163
133
TO
54
66
90
TO
90
64
143
123
114
45
40
56
TO.
48
54
54
59
90
60
99
114
180
197
145
97
58
59
T4
64
T2
44
34
50
47
90
81
94
99
91
45
54
107
127
85
132
76
76
80
90
«
151
101
135
1*9
136
161
127
151
176
155
T6
70
Tl
101
75
107
107
151
127
125
54
42
60
76
59
64
64
64
107
69
114
127
203
214
166
107
61
63
62
73
92
49
40
54
53
115
90
103
104
102
45
76
107
151
96
146
92
96
90
100
SO
197
107
143
197
155
189
146
ITS
203
170
107
76
76
12T
83
127
11T
161
151
139
T6
43
62
80
6T
63
67
70
151
78
127
161
234
241
184
119
64
69
90
83
100
56
48
69
64
123
101
112
117
113
76
107
135
166
114
161
100
10!
112
111
u
214
127
151
206
IT3
214
157
188
241
186
120
78
83
133
92
135
127
170
161
151
83
45
64
83
76
90
70
76
161
87
156
170
266
302
210
12T
."
T4
103
94
107
61
59
76
74
127
107
11T
133
124
63
107
1«3
166
132
ITS
107
107
127
125
10
302
139
166
214
l«l
262
170
199
268
208
135
83
90
1«5
107
143
15*
180
170
163
90
68
80
87
83
107
73
60
160
103
173
191
290
321
259
151
87
63
115
105
143
67
TO
83
66
151
127
127
145
137
83
117
143
160
141
144
122
115
I4i
14;
10
393
145
173
234
210
2T6
180
206
281
250
143
66
99
166
130
151
166
197
197
175
107
72
83
107
89
127
90
67
214
135
160
214
302
359
292
173
95
96
133
122
166
76
80
90
100
214
139
137
160
149
90
127
151
254
161
234
145
120
Ik6
166
10
427
214
197
244
254
302
241
234
302
289
214
96
117
197
170
180
180
214
214
200
180
76
90
117
104
151
107
90
254
160
266
276
331
427
334
197
102
120
151
161
203
96
96
127
145
2T6
151
146
214
203
90
127
151
254
160
2T6
180
121
Zl«
21«
Mai
566
270
164
238
566
594
346
279
361
594
284
96
165
24]
269
219
186
381
224
381
1«6
98
93
114
166
403
122
117
264
403
317
336
349
4TO
4TO
241
151
231
23)
241
253
156
117
233
253
303
251
179
307
307
273
141
157
316
316
341
265
13«
2
-------
13C TABU 2.17- BETA RADIOACTIVITY. URBAN ASD NONUR5AN, MONTHLY STATE SUMMARIES - Continued
IPkocurio fa Cubic Mtltrl
Region or Stole
ARKANSAS
CALIFORNIA
COLORADO
tan
57 NUMBER
AVERAGE
MINIMUM
58 NUMBER
MAX IMUM
AVERACE
MINIMUM
59 NUMBER
MAXIMUM
AVERACE
60 NUMBER
MAXIMUM
AVERAGE
MAXIMUM
AVERAGE
MINIMUM
57 NUMBER
MAXIMUM
MINIMUM
58 NUMBER
MAXIMUM
MINIMUM
59 NUMBER
MAXIMUM
AVERAGE
60 NUMBER
MAXIMUM
AVERAGE
MINIMUM
61 NUMBER
MAXIMUM
AVERACE
MINIMUM
57 NUMBER
MAXIMUM
MINIMUM
MAXIMUM
AVERAGE
MAXIMUH
AVERAGE
MINIMUM
60 NUMBER
MAXIMUM
AVERAGE
MINIMUM
61 NMMB^»
MAXIMUM
AVERAGE
MINIMUM
1*1
2
2.2
i.a
1.4
4
16.8
12.5
0.1
0.1
0.1
0.0
9
1.0
17
7.7
0.6
14
33. e
11.5
20
0.3
0.2
0.1
18
0.2
0.1
0.0
2
3.3
1.7
3.0
2.3
16.2
11.5
8.3
6
0.3
0.2
0.1
4
0.1
0.1
0.0
Ftb
2
3.5
1.7
5
12.4
8.3
0.1
0.1
0.1
0.0
4
0.8
IS
2.3
0.6
14
27.0
9.1
21
0.4
0.2
0.1
19
0.1
0.0
0.0
2
1.8
1.3
2.1
1.7
14.9
10.5
7.6
1
0.5
0.9
0.5
4
O.I
0.1
0.0
My
3
7.7
2.9
4
16. «
11.4
0.2
0.1
0.1
0.0
6
18
36.0
1.0
15
15.3
9.3
23
o.»
0.3
0.1
23
0.1
0.0
0.0
1
2.1
2.1
8.6
3.7
18.0
13.4
4.7
6
0.8
0.3
0.0
J
0.1
0.1
0.0
Apr
2
9.0
0.7
3
12.9
9.2
0.3
0.2
0.1
0.0
3
19
19.0
1.3
15
15.1
9.1
22
0.5
0.0
22
0.2
0.1
0.0
1
4.6
4.6
17.0
39.4
1.8
4
0.4
0.3
0.2
4
0.2
0.1
0.1
Mt,
2
2.4
1.4
2
6.
17.
6.
0.2
0.2
0.1
0.1
17
17
12.0
0.3
13
12.0
7.3
19
0.2
0.0
20
0.5
0.2
0.0
' 2
5.7
1.0
9.2
15.3
1.7
4
0.5
0.3
0.2
4
0.5
0.2
0.1
Jux
2
1.1
1.0
1
2.4
1.
1.
0.
0.3
0.2
0.1
12
19
9.5
1.3
15
7.8
2.7
21
0.3
0.0
IS
0.7
0.1
0.0
2
21.4
14.6
15.0
2.8
1.3
3
0.3
0.2
0.1
4
0.2
0.2
0.1
M,
2
8.6
3.3
3
1.1
5
1.9
0.9
9
0.1
0.1
0.1
0.0
13
21
16.0
0.2
14
2.8
1.2
18
0.2
0.0
21
0.2
0.1
0.0
2
106.3
64.2
49.0
1.0
0.6
4
0.2
0.1
0.1
4
0.1
0.1
0.0
Aug
1
26.4
1.9
2
3.2
5
0.5
0.3
4
0.0
0.1
0.1
0.0
13
18
7.3
0.3
13
0.7
0.5
24
0.2
0.0
24
0.1
0.0
0.0
8.8
0.4
0.2
5
0.1
0.1
0.1
5
0.1
0.1
0.0
Stpl
2
4.4
3.9
2
0.1
4
0.3
0.2
5
0.1
0.0
0.0
0.0
10
17
5.0
1.3
17
0.4
0.2
24
0.1
0.0
20
19.8
5.1
0.0
2
159.2
14.0
4.9
0.7
0.2
3
0.1
0.1
0.0
4
26.1
9.6
0.1
Oct
2
5.9
3.4
2
1.3
4
0.2
0.2
3
0.1
23.1
ie.3
12.4
12
18
79.9
o.e
12
0.4
0.2
21
0.1
0.0
21
48.6
20.6
1.9
2
63.1
32.1
1.0
26.8
4
0.2
0.1
4
0.3
0.2
0.1
9
33.6
19.5
7.4
Nov
2
1.5
1.4
2
12.9
9
0.3
0.2
5
0.1
43.9
23.6
8.8
15
0.8
18
126.0
0.5
15
0.4
0.2
19
0.2
0.0
21
73.7
22.7
1.4
2
1.5
0.9
0.2
29.1
4
0.3
0.1
4
0.1
0.1
0.0
3
17.3
9.8
3.2
Dec
t
1.2
1.1
i
3.7
4
0.2
0.1
4
0.1
0.1
9.2
6.1
4.1
13
0.4
19
39.8
3.9
16
0.5
0.2
17
0.3
0.0
21
30.2
9.7
1.8
3
3.2
2.2
1.6
11.9
4
0.2
0.0
4
0.1
0.1
0.1
4
28.4
U.7
13.7
Figure 14. Readout of monthly summary.
38
-------
AIR QUALITY DATA BANK
Method Codes
Date
620104
620120
620204
620223
620303
620317
620330
620410
620426
620508
620522
620605
620621
620706
620721
620804
620815
620831
620915
620930
621009
621025
621106
621121
621207
621221
91
5V
SP
127
76
16,9
278
78
100
222
109
136
65
144
90
78
63
100
251
73
178
116
79
102
85
64
293
67
122
91
**
BS
8.4
6.7
13.4
8.9
5.6
5.1
13.4
7.7
6.0
4.3
8.6
7.6
5.9
4.1
4.2
11.8
3-3
14.0
7.0
8.9
6.6
5-2
8.5
39-2
5.1
9.6
LISTED 8/20/65
Hartford, Connecticut
*Suspended participates.
**Benzene soluble organic fraction.
Figure 15. Raw data listing.
39
-------
Layout Form — 80 Column Card
R
X
0
1
2
3
_
4
_
*
6
7
8
9
Program
Name Segment Operation
000000000000000000000000000000
1 2 3 < 5 6 7 8 9 10 11 12 13 14 15 16 17 11 19 20 21 22 23 24 21 26 21 28 29 30
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
222222222222222222222222222222
j SMSA
DC
0000
31 32 33 34
Mil
2222
Col umn :
13 National
14 Regional
15 SMSA Must also be
16 State identified in
17 Station Area field
18 Site in special
19 Pop. class cases.
20 Topo. class
8888888888888888888888888888888888
9999999999999999999999999999999999
Area f"°
OJ
a • z i
« t> • o i >
2 station «-* §• Q ° 5
t/i v> a. — ^ 3
0000000000000
5 36 37 31 39 40 41 12 43 44 45 46 47
11 11 1 1 1 1 11 1 1 1
2222222222222
Period
Start
1r
00
48 49
1 1
22
Mo
00
5051
1 1
22
Dy
00
5253
1 1
22
Stop
Yr
00
5455
1 1
22
Mo
00
5657
1 1
22
Dy
00
5859
1 1
22
1)
*••
D
0
60
1
2
in
CT
•o
TO
0)
0
61
1
2
000000000000000000
62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 76 79
111111111111111111
222222222222222222
l_
03
0
«
1
2
21 Raw data printout
22 Cumulative frequency distribution
23 Monthly distribution
2k Cumulative seasonal
25- 30 Future addi t
888888888888888
999999999999999
freq. dist.
i ons
88
99
t 2 3 4 5 6 7 8 9 10 II 12 13 14 !5 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 3i 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51
88
99
88
99
8 8
99
88888888888888888888888
99999999999999999999999
52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 60
Title
Prepared By For Program
By Programmer Checked By ..
Remarks
Modification Page.
Figure 16. Descriptor card.
.of.
-------
Layout Form — 80 Column Card
R
X
0
1
2
3
4
5
6
7
8
9
Ti
Pr
By
Da
Pollutant Pollut;
. f • in U "in"
• i/i I- •*- . i/i ^- -t . (/» u. -C . i* L.
4-> (0 3 *-• jj (0 3 -^ 4J m 3 ^ .u m U
c- o Code « c- 0 Code £ c^ o Code £ £3 ° Code
000 00 000 000 00 0000000 000 00 000 00 00 0000 00 00 C
10 20 21 22 23 24 25 ?6 2! 28 29 30 31 32 33 34 35 36 37 3« 39 40 41 42 43 44 45 46 47 48 49 50 51 52 S3 54 55 56 57 5! 5
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 M 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
22222222222222222222222222222222222222222
1 lutant Pollutant
•g . o> *fc
r : m " • in 0
•£ • "• 3 £ • "> "- •«
1 E Z I ^de « ^ | ft
o o o o o o o d o o o o o o o D oimnr
9 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 71 79 M
111111111111111111111
222222222222222222222
Restrictions:
888888888888888888
999999999999999999
1 2 3 4 5 6 7 8 9 10 II 12 13 14 !5 16 17 18
a. Only one card No. 2 per computer run.
b. Only one family category per card.
88 88 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 88 88 8 88 £
888888888888888888888
99999999999999999999999999999999999999999999999999999999999999
19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 N
ti Parameter card - second card in any retrieval run.
For Program ....
Checked By
Remarks
iwiwi;e,--,«-;,-,n Page of
Figure 17. Parameter card.
-------
i.e. , routine, nonroutine, etc. (position 9); and the source or contributing agency
(positions 10 and 11). This card may be used to recall data on individual pollu-
tants or on one family of pollutants. The following restrictions must be imposed
because of limitations on the amount of memory available in the computer:
1. Only one parameter card may be used in each computer run.
2. Only one family may be requested in each computer run.
42
-------
APPENDIX
Codes Assigned for Some Common Pollutants
43
-------
Table A-l. POLLUTANT AND METHOD-ANALYSIS CODES
FOR SOME COMMON AEROMETRIC DATA
Pol lutant
Suspended particulates
Total suspended solids
Total organic fraction
Benzene soluble organics
Total polynuclear hydrocarbons
Reflectance (smoke shade)
Transmission (dirt shade)
Radioactivity, (gross beta)
Ant imony
Arsen i c
Beryl 1 i urn
Bery 1 1 i urn
Beryl 1 ium
Bismuth
Chronium
Chronium
Cobalt
Cobalt
Copper
Copper
1 ron
Lead
Lead
Manganese
Manganese
Molybdenum
Nickel
Nickel
Nickel
Tin
Ti tani urn
Ti tan i urn
Vanadium
Zinc
Zinc
Non-metal inorganics
Ammonium NH^f
Ammonium NH/j
Benzo (a) pyrene
Bromide
Chloride
Chloride
Chloride
Hydrogen ion concentration
(pH)
Nitrates (NOj)
Nitrates (NO])
Uni ts
yg/m3
yg/nK
yg/m
yg/m-*
Ruds
Cohs
PCi/m3
yg/m3
yg/m3
yg/m3
ug/m3
yg/m3
pg/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
ug/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/mJ
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/nr*
yg/m3
yg/m3
yg/nr
yg/m3
pH
yg/m3
yg/m3
Pol lutant
code
11101
1102
1103
1104
1202
1201
1302
12102
12103
12105
12105
12105
12106
12112
12112
12113
12113
12114
12114
12126
12128
12128
12132
12132
12134
12136
12136
12136
12160
12161
12161
12164
1216?
12167
12301
12301
17242
12201
12203
12203
12203
12602
12306
12306
col
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Method of
lection and analysis
Gravimetr i c
Ignition - gravimetric
Benzene extraction
Soxhlet
Piperonyl chloride
Smoke shade instrument
AISI
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Proportional counter
Emission spectra
NASN ars i ne-color imetr i c
Emission spectra
Morin method
Atomic absorption
Emission spectra
Emi ss ion spectra
Atomic absorption
Atomic absorption
Emission spectra
Emission spectra
Atomic absorption
Emission spectra
Atomic absorption
Emission spectra
Emission spectra
Atomic absorption
Emission spectra
Atomic absorption
Emission spectra
Heptoxime (color imetri c)
Emission spectra
Emission spectra
Atomic absorption
Emission spectra
Atomic absorption
Emission spectra
Ness ler
Sodium phenolate
Thin layer chromatog-
raphy + fluorometry
Phenol -red
Thiocyanate
Argentometric
Mercuric nitrate
pH meter
2-4 Xylenol
Reduct ion-d iazo coupling
Method
code
91
91
91
91
91
81
91
91
93
91
93
92
91
91
92
92
91
91
92
91
92
91
91
92
91
92
91
94
91
91
92
91
92
91
91
92
91
41
91
92
93
91
91
92
44
-------
Table A-l (continued). POLLUTANT AND METHOD-ANALYSIS CODES
FOR SOME COMMON AEROMETRIC DATA
Pol lutant
Nitrite (N0~)
Phosphate (PO^)
Sulfuric acid
Sulfate (SOJJ~)
r\
Sulfate (SOJp
Units
y g/nv
yg/m3
y g/m^
ug/m3
yg/m^
Pol lutant
code
12309
1245*1
12402
12403
12403
col
Hi-Vol
HJ-Vol
Hi-Vol
Hi-Vol
Hi-Vol
Settled particulates - dust fall (all units expressed on
Total particulates
Total particulates
Total organic fraction
Total organic fraction
Benzene soluble organics
Benzene soluble organics
Water soluble weight
Water soluble weight
Water insoluble weight
Water insoluble weight
Total weight ash
Total weight ash
Water soluble ash
Water soluble ash
Water insoluble ash
Water insoluble ash
Chloride
Chloride
Chloride
Chloride
Chloride
Chloride
Chloride
Chloride
Ammon i urn
Ammon i urn
Ammon i urn
Ammonium
Nitrates
Nitrates
Nitrates
Ni trates
Sulfates
Sulfates
Sulfates
Sulfates
Sulfates
Sulfates
PH
PH
y g/m^/mo
y g/rrr/mo
y g/m2/mo
y g/m2/mo
y g/m2/mo
y g/m2/mo
y g/m^/mo
y g/m2/mo
y g/m2/mo
y g/m2/mo
y g/m^/mo
y g/m2/mo
y g/mVmo
y g/m2/mo
y g/m2/mo
y g/m2/mo
y g/m2/mo
y g/m2/mo
y g/m2/mo
yg/m2/mo
y g/rr)2/mo
y g/m2/mo
y g/m2/mo
y g/m2/mo
y g/m2/mo
y g/m2/mo
y g/m2/mo
y g/m2/mo
y g/m2/mo
y g/m2/mo
y g/m2/mo
y g/m2/mo
y g/m2/mo
y g/m2/mo
y g/m^/mo
y g/m2/mo
y g/m2/mo
y g/m2/mo
pH units
pH units
21101
21101
21102
21102
21 103
21103
21114
21114
21115
21115
21116
21116
21117
21117
211 18
21118
22203
22203
22203
22203
22203
22203
22203
22203
22301
22301
22301
22301
22306
22306
22306
22306
22403
22403
22403
22403
22403
22403
22602
22602
APCA
ASTM
APCA
ASTM
APCA
ASTM
APCA
ASTM
APCA
ASTM
APCA
ASTM
APCA
ASTM
APCA
ASTM
APCA
ASTM
APCA
ASTM
APCA
ASTM
APCA
ASTM
APCA
ASTM
APCA
ASTM
APCA
ASTM
APCA
ASTM
APCA
ASTM
APCA
ASTM
APCA
ASTM
APCA
ASTM
Method of
lection and analysis
Diazo coupl i ng
Molybdate stannous
ch lor i de
pH
Methyl thymol blue-
color! metric
Turbidimetric (NASN)
monthly basis)
Gravimetr i c
Gravimetri c
Ignition-gravimetric
Ignit ion -gravime trie
Soxhlet
Soxhlet
Gravimetric
Gravimetri c
Gravimetric
Gravimetri c
Gravi met r i c
Gravimetri c
Gravimetri c
Gravimetric
Gravimetri c
Gravimetri c
Mercuric nitrate
Mercuric nitrate
Mohr
Mohr
Volhard
Volhard
Automated thiocyanate
Automated thiocyanate
Sodium phenolate
Sodium phenolate
Ness ler
Ness ler
2-4 Xylenol
2-4 Xylenol
Reduction diazo
Reduction diazo
NASN, turbidimetr i c
NASN, turbidimetric
Methyl thymol blue
Methylthymol blue
Barium sulfate
Bar i urn sul fate
pH meter
pH meter
Method
code
91
91
61
91
92
71
81
71
81
71
81
71
81
71
81
71
81
71
81
71
81
71
81
72
82
73
83
74
84
71
81
72
82
71
81
72
82
71
81
72
82
73
83
71
81
45
-------
Table A-l (continued). POLLUTANT AND METHOD-ANALYSIS CODES
FOR SOME COMMON AEROMETRIC DATA
Pol lutant
Sulfation rate
Sulfation rate
Sulfation rate
Sul fat ion rate
Sulfation rate
Sulfation rate
Sulfation rate
Carbon monoxide
Carbon dioxide
Hydrogen sulfide
Ammon i a
Ammon i a
Nitric oxide
Nitric oxi de
Nitric oxide
Nitrogen dioxide
Nitrogen dioxide
N i t rogen d ioxi de
Nitrogen dioxide
N i t rogen d ioxi de
N i trogen d ioxi de
Nitrogen dioxide
Oxides of nitrogen
Sul fur d ioxide
Sulfur dioxide
Sulfur dioxide
Sulfur dioxide
Sul fur d ioxide
Total hydrocarbons
Methane
Methane
Uni ts
mgSOo/100cm2/day
mgS03/100cm2/day
mgS03/100cm2/day
mgS03/100cm2/day
mgS03/100cm2/day
mgS03/100cm2/day
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/rp3
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
Pol lutant
code
42410
42410
42410
42410
42410
42410
42101
42102
42402
42604
42604
42601
42601
42601
42602
42602
42602
42602
42602
42602
42602
42403
42401
42401
42401
42401
42401
43101
43201
43201
Method of
collection and analysis
NASN Candle gravimetric
NASN Candle colorimetric
(methy 1 thymol blue)
NASN Candle - titrimetric
RAC Candle gravimetric
RAC Candle colorimetric
RAC Candle titrimetric
Instrumental - infra-red
NASN Sampler (100-ml tube +
orifice)+ phenol phthalei n
method
NASN Sampler (100-ml tube +
orifice)+ methylene blue
method
NASN Sampler (100-ml tube +
orifice) + Nessler reagent
NASN Sampler (100-ml tube +
orifice) + sodium phenolate
Instrumental colorimetric
NASN Sampler (50-ml tube +
orifice)+ Saltzman method
NASN Sampler (100-ml tube +
orifice) + Saltzman method
Instrumental colorimetric
NASN Sampler (50-ml tube +
orifice) + Saltzman method
NASN Sampler (100-ml tube +
orifice) + Saltzman method
NASN Sampler (50-ml tube +
orifice) + Jacobs-Hochheiser
method
NASN Sampler (100-ml tube +
orifice) + Jacobs-Hochheiser
method
NASN Sampler (100-ml tube +
frit) Saltzman method
NASN Sampler (100-ml tube +
frit) Jacobs-Hochheiser
method
Instrumental - colorimetric
NASN Sampler (50- or 100-ml
tube+ori f i ce) West-Gaeke
sul famic acid
NASN (50- or 100-ml tube +
orifice) West-Gaeke
Instrumental West-Gaeke
NASN conductametric
Instrumental conductametric
1 nstrumental -flame ionization
1 ns trumental -f 1 ame ionization
Manual - gas chroma tog raphy
using flame ionization
Method
code
91
92
93
81
82
83
11
91
91
91
92
11
71
91
12
72
82
71
81
92
91
11
91
92
11
93
13
11
11
91
46
-------
Table A-1 (continued). POLLUTANT AND METHOD-ANALYSIS CODES
FOR SOME COMMON AEROMETRIC DATA
Pol lutant
Non-methane hydrocarbon
Ethane
Ethylene
Acetylene
Propane
Propylene
N-butane
Isobutane
Butene
2, 2- Dimethyl propane
1 sobuty lene
Trans-2-butene
Cis-2-butene
Isopentane
N-Pentane
3 Methylbutene-1
1 ,3-Butadiene
Total oxidants
Total oxidants
Total oxidants
Total oxidants
Total oxidants
Aldehyde
Units
yg/m3
pg/rtK
yg/m^
yg/m3
yg/m3
yg/m3
ug/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
ug/nr
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/m3
yg/FTK
yg/m3
yg/m3
Pol lutant
code
43)02
43202
43203
43206
43204
43205
43212
43214
43213
43222
43215
43216
43217
43221
43220
43223
43218
44101
44101
44101
44101
44101
48501
Method of i
collection and analysis
Instrumental-flame ionization
Manual gas chromatography
using flame ionization
Manual -gas chromatography
using flame ionization
Manual - gas chromatography
using flame ionization
Manual gas chromatography
using flame ionization
Manual - gas chromatography
using flame ionization
Manual - gas chromatography
using flame ionization
Manual gas chromatography
using flame ionization
Manual gas chromatography
using flame ionization
Manual gas chromatography
using flame ionization
Manual gas chromatography
using flame ionization
Manual gas chromatography
using flame ionization
Manual - gas chromatography
using flame ionization
Manual gas chromatography
using flame ionization
Manual gas chromatography
using flame ionization
Manual gas chromatography
using flame ionization
Manual gas chromatography
using flame ionization
Instrumental alkaline Kl
Instrumental mast model 742-2
Instrumental - neutral Kl
NASN Sampler - ferrous oxidation
NASN Sampler a 1 ka 1 ine Kl
NASN Sampler MBth
Method
code
11
91
91
91
91
91
91
91
91
91
91
91
91
91
91
91
91
11
13
14
82
81
91
47
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