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analyses of suspended participates
U.S. DEPARTMENT OF HEALTH, EDUCATION, AND WELFARE
PUBLIC HEALTH SERVICE
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AIR POLLUTION MEASUREMENTS
of the
NATIONAL AIR SAMPLING NETWORK
ANALYSIS OF SUSPENDED PARTICULATE SAMPLES
COLLECTED 1953-1957
U.S. DEPARTMENT OF HEALTH, EDUCATION, AND WELFARE
Public Health Service
Bureau of State Services
Division of Sanitary Engineering Services
Robert A. Tafi Sanitary Engineering Center
Cincinnati 26, O.
1958
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Public Health Service Publication No, 637
UNITED STATES GOVERNMENT PRINTING OFFICE, WASHINGTON, D. C. . 1958
For sale by the Superintendent of Documents, U. S. Government Printing Office, Washington 25, D. C.
Price $2
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PREFACE
This report on the first five years of operation of the U. S.
Public Health Service's National Air Sampling Network has
been designed to present basic data on suspended particulate
matter in the air over the United States. Much of its content
consists of tables which present this information.
It is not intended that this should be the final form of pre-
sentation. Planning is currently under way for the compre-
hensive analysis of these raw data with the aim of determining
trends and patterns of air pollution in the United States.
The various text sections reflect the second purpose of this
report: to provide the technical information necessary for the
establishment of similar or identical sampling stations in
community, area, or State Networks throughout the United
States by appropriate agencies. For this reason, data con-
cerning the statistical and chemical procedures used in the
Network have been presented in greater detail than probably
would have been necessary for an evaluation of the results.
Another major goal is the presentation of non-technical in-
formation to assist the public-spirited citizen in broadening
his understanding of this relatively new environmental prob-
lem. A summary report on the Network which would partially
meet this need is under consideration.
111
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CONTENTS
Page
Preface .... ... iii
THE NATIONAL AIR SAMPLING NETWORK 1
Historical Background 1
Current Operations 2
Atmospheric Pollutants Measured 5
Selection of Station Locations . . . . 6
Sampling Equipment and Procedure . . 6
Sample Scheduling 7
Explanation of Data Tabulations . . . . 8
Sampling Site Descriptions and Participating
Organizations 10
How to Find Data from a Particular City or State 14
Explanation of Units Used in Data Tables . 14
DAT A TABLES 15
1. Suspended Particulate Matter . .17
2. Acetone Soluble Organic Matter . . . 39
3. Benzene Solute Organic Matter 47
4. Radioactivity ... 67
5. Chlorides . . 86
6. Fluorides 93
7. Nitrates ... 97
8. Sulfates 107
9. Barium . . . . . .117
10. Bismuth . .124
11. Cadmium 130
12. Chromium . 137
13. Copper 144
14. Iron . .153
15. Lead 162
16. Magnesium . . 171
17. Manganese . . . ... 175
18. Nickel . .184
19. Potassium . . .192
20. Sodium . . . . . . .200
21. Strontium . . . . 200
22. Tin ... .204
23. Titanium .213
24. Vanadium . . . . . . 222
25. Zinc . . . 231
26. Silver . . . . . 239
27. Arsenic . . . . . ... 239
28. Beryllium . . .241
29. Cobalt . . . .241
30. Molybdenum ... . . . . 243
31. Antimony . . . . . 243
STATISTICAL INTERPRETATIONS 245
Log-normality of Frequency Distributions . . 245
Comparison of Daily, Weekly, and Biweekly
Random Sampling Schedules . . . . . 246
ANALYTICAL METHODS
Samples
Radioactivity . .
Organic Materials .
Inorganic Constituents
A COMPARISON
ACKNOWLEDGMENTS
REFERENCES
TEXT TABLES
A. National Air Sampling Network . .
B. Reference Table for Determining Day
and Hour for Starting Sampler
C. Worksheet for Preparation of Random
Sampling Schedule
D. Sampling Site Descriptions and
Participating Organizations
E. Units Used in Data Tables
F. National Totals 1953-1957
G. Comparative Statistics for Daily, Weekly, and
Random Sampling . .
H. Comparative Statistics for Daily and
Random Sampling
Page
.249
.249
.249
.251
..251
255
.257
259
10
. 14
.245
246
.247
FIGURES
1. 1953 National Air Sampling Network 1
2. 1954 National Air Sampling Network 2
3. 1955 National Air Sampling Network ... . 2
4. 1956 National Air Sampling Network 2
5. Current Network . . 2
6. Current Network—Northeast . . . 3
7. Sampler . . 6
8. Horizontal Shelter . ... 7
9. Vertical Shelter and Typical Site . 7
10. Filter and Mailing Container 7
11. Cumulative Frequency Distribution — Suspended
Particulate Matter, All Urban and Nonurban Sta-
tions, 1953-1957 . 245
12. Cumulative Frequency Distribution — Suspended
Particulate Matter, Philadelphia, Pa., Site 1, 1956. .246
13. Cumulative Frequency Distribution — Suspended
Particulate Matter, Philadelphia, Pa., Site 1, 1955-
1956 247
14. Division of Sample for Analysis . 249
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THE NATIONAL AIR SAMPLING NETWORK
Conspicuous effects of air pollution in many areas have
shown the need for treating the atmosphere as a limited
natural resource. Since air is the first requirement for human
existence, it is obvious that it should be clean and healthful.
To assure that it is, it must be examined routinely for sub-
stances suspected of exerting adverse influences on its quality.
This is necessary for the intelligent application of measures
designed to effect adequate pollution control.
The National Air Sampling Network is a start toward
meeting this need for routine air quality measurement. In ad-
dition to assembling basic data on the nature and extent of air
pollution throughout the nation, the existing program has
been designed to detect trends in levels of pollution with
respect to time, geographical location, topography, population
density, climate, industrial activity, meteorological condi-
tions, and other factors associated with air quality. Other
objectives are to collect data that may have value in epidemi-
ological studies and to provide the basic data necessary for
intelligent public consideration of air pollution problems.
Measurements of the type presented here were very sparse
prior to this decade. Up at that time, the more common
method of trapping particles for measurement and analysis
was to expose an open-topped jar or can for about a month
and catch the "fallout." The principle involved is the same
as that now used to trap radioactive "fallout" on exposed
sticky paper. These fallout receptacles trapped mainly the
larger particles that were the common affliction of cities during
the first half of this century. Although these particles continue
to be a nuisance, they are too heavy to travel far from their
source, to be inhaled, or to influence visibility. Due to changes
in fuel burning methods, these heavy particles will most
likely be of much less concern during the last half of the
century. Current research interest, therefore, is in the direc-
tion of particulate matter that will remain suspended for long
periods of time and which includes particles small enough to
reach the lungs when inhaled.
The work presented in this report started in 1953. The
Federal Air Pollution Research and Technical Assistance
Act (Public Law 159, 84th Congress) under which this pro-
gram is currently being carried on became effective in June
1955, but the Network did not become truly "national"
until January 1, 1957.
In this report are tabulations of data from analyses of
atmospheric particulate samples collected during 1953-57. The
samples were obtained in urban, suburban and nonurban
areas. Determinations were made for the amount of partic-
ulate matter present, organic materials, a large number of
inorganic constituents, and radioactivity. Laboratory proce-
dures for all analytical work are described.
Because of the great number of samples collected, it has
been considered impractical to present results of individual
analyses. In lieu of this, the data have been tabulated as
minimum, maximum, and average values for samples obtain-
ed at each sampling site. Monthly distributions and percentile
frequqency distributions for all substances are also presented.
Tabulations were prepared using electronic data process-
ing equipment. A computer program, designed specifically
for assembling the data presented, was used in the prepara-
tion of all tables (1,2). A portion of the report is devoted
to the organization and explanation of tabulated material.
The history, scope, and general operating features of the
National Air Sampling Network are discussed in later sec-
tions of the report. Site descriptions and participating organi-
zations are listed for sampling points appearing in the tabu-
lations. Maps indicating station locations depict Network
development with respect to area coverage from year to year.
A typical sampling site and the type of equipment used are
shown. No attempt has been made in this report to evaluate
the reported data in terms,of significant differences in partic-
ulate concentrations that may have occurred between sampling
stations. Preliminary evaluations of some of the earlier of
these data have previously been published (3,4,5,6,7).
As time permits, more such statistical evaluations will be
made using all the data collected by the air sampling program.
These studies will be directed toward the detection of corre-
lations and trends concerning the nature, extent, causes and
effects of air pollution throughout the nation.
HISTORICAL BACKGROUND
In 1953 the Public Health Service, in cooperation with
state and local health departments and air pollution control
agencies, set up air sampling stations in 17 communities
Fig. 1. 1953 National Air Sampling Network
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(Fig. 1). Determination of the protein content of airborne
particulate matter was the original objective of this project
(8). However, since the particulate samples were sufficiently
large to permit additional chemical analyses, sample process-
ing soon included determinations for acetone or benzene
soluble, organic matter and several inorganic constituents.
Sampling equipment and laboratory services were provided
by the Sanitary Engineering Center. State and local organiza-
tions furnished personnel for station operation.
During 1954-56 several additional stations were activated
(Figs. 2,3,4). Some were operated primarily for special in-
vestigation:: of a relatively short term, local nature. Others
were established for collecting data on a long term, national
basis. Sixty-six communities participated in the program dur-
ing this period.
Growing interest in the Network project became evident
through increasing numbers of requests for participation by
state and local organizations. In 1956 a need for a general
revision of the entire program was recognized, and plans were
initiated for effecting appropriate changes.
Fig. 2. 1954 National Air Sampling Network
Fig. 4. 1956 National Air Sampling Network
CURRENT OPERATIONS
Major revisions were put into effect on January 1, 1957
(Figs. 5,6—Table A). This new plan called for the simul-
taneous operation of about 110 urban and 51 nonurban sta-
tions in all 48 states, the District of Columbia, and the Terri-
tories of Alaska and Hawaii and the Commonwealth of
Puerto Rico. In the current program, the largest city in each
state or territory in general has been given first priority as
an urban station location. However, five conceptions were
made to provide better area coverage. After placing 52
stations in this manner, other cities were selected for Network
participation, primarily according to population, although
again nationwide geographical distribution was also consid-
ered. About 110 urban stations are scheduled for operation
in any given year. Of this number, 66 remain in operationi
every year, 19 every other year, and 25 to 28 every third year.
Thus, there are 66 on an annual basis, 38 in the biennial
category and about 81 participating triennially, comprising a
total of 185 urban stations that are operated during any
three year period.
Fig. 3. 1955 National Air Sampling Network
Fig. 5. Current Network
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REGION
Fig. 6. Current Network — Northeast
TABLE A. NATIONAL AIR SAMPLING NETWORK
EVERY YEAR STATIONS
REGION
New England
Mid Atlantic
Mid East
STATE
Connecticut
Maine
Massachusetts
New Hampshire
Rhode Island
Vermont
Delaware
New Jersey
New York
Pennsylvania
D. C.
Kentucky
Maryland
North Carolina
Puerto Rico
Hartford
New Haven
Litchfield County*
Portland
Acadia Nat'l Park*
Boston
Nantucket Island*
Manchester
Forest Site*
Providence
Washington
County*
Burlington
Lamoille County*
Wilmington
Kent County*
Newark
Cape May*
Buffalo
New York
Cape Vincent*
Philadelphia
Pittsburgh
Clarion County*
Washington
Louisville
Cumberland Falls
State Park*
Baltimore
Solomon's Island*
Charlotte
Cape Hatteras*
San Juan
Luquillo
Mountains*
South East
Mid West
Great Plains
Gulf South
Virginia
West Virginia
Alabama
Florida
Georgia
Mississippi
South Carolina
Tennessee
Illinois
Indiana
Michigan
Ohio
Wisconsin
Iowa
Kansas
Minnesota
Missouri
Nebraska
North Dakota
South Dakota
Arkansas
Louisiana
New Mexico
Oklahoma
Norfolk
Page County*
Charleston
Webster County*
Birmingham
Baldwin County*
Tampa
Florida Keys*
Atlanta
Oatland Island*
Jackson
Jackson County*
Columbia
Farmland Site*
Nashville
Chattanooga
Stewart County*
Chicago
Sangamon County*
Indianapolis
East Chicago
Montgomery
County*
Detroit
Huron County*
Cincinnati
Cleveland
Columbus
Youngstown
Perry's Monument*
Milwaukee
Door County*
Des Moines
Clayton County*
Wichita
Ellis County*
Minneapolis
Cook County*
Kansas City
St. Louis
Shannon County*
Omaha
Thomas County*
Bismarck
Ward County*
Sioux Falls
Black Hills
Nat'l Forest*
Little Rock
Ouachita Nat'l
Forest*
New Orleans
Gulf Coast*
Albuquerque
Colfax County*
Tulsa
Comanche County*
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REGION
STATE
Texas Dallas
Houston
San Antonio
Calhoun County*
Rocky Mountain Colorado Denver
Pacific Coast
REGION
New England
Mid Atlantic
Mid East
South East
Mid West
Great Plains
Montezuma
County*
Idaho Boise
Butte County*
Montana Helena
Glacier Nat'l Park*
Utah Salt Lake City
Bryce Canyon*
Wyoming Cheyenne
Yellowstone
Nat'l Park*
Afeska Anchorage
Point Woronzof*
Arizona Phoenix
Grand Canyon*
California Los Angeles
San Diego
San Francisco
Humboldt County*
Hawaii Honolulu
Waimanalo*
Nevada Las Vegas
White Pine
County*
Oregon Portland
Curry County*
Washington Seattle
Clallam County*
*Nonurban Stations
BIENNIAL STATIONS
STATE ODD YEAR EVEN YEAR
Connecticut Bridgeport
Massachusetts Worcester Springfield
New Jersey Jersey City Trenton
New York Schenectady Albany
Syracuse Rochester
Utica
Pennsylvania Allentown Harrisburg
Johnstown Reading
Scranton
Virginia Richmond
West Virginia Wheeling
Florida Miami Jacksonville
Tennessee Knoxville Memphis
Illinois Peoria
Michigan Flint
Grand Rapids
Ohio Toledo Akron
Canton Dayton
Minnesota Duluth
REGION STATE ODD YEAR EVEN YEAR
Gulf South Oklahoma Oklahoma City
Texas Ft. Worth
Pacific Coast California San BernardinoFresno
San Jose Oakland
Sacramento
TRIENNIAL STATIONS
REGION STATE 1957 1958 1959
New England Connecticut Stamford Waterbury New Britain
Massachusetts Lawrence Brockton Cambridge
Lynn Fall River Lowell
Somerville Quincy New Bedford
Mid Atlantic New Jersey Camden Atlantic City Bayonne
East Orange Elizabeth Paterson
New York Binghamton Yonkers Niagara Falls
Pennsylvania Lancaster Erie
York
Altoona
Mid East No. Carolina Winston- Asheville Raleigh
Salem Greensboro
Virginia Hampton Roanoke
West Virginia Huntington
South East Alabama Mobile Montgomery
Florida Orlando
Georgia Columbus Augusta Savannah
Macon
So. Carolina Greenville Charleston
Mid West Illinois Springfield E. St. Louis Rockford
Indiana Evansville Terre Haute Hammond
Ft. Wayne Gary South Bend
Michigan Kalamazoo Jackson Dearborn
Lansing Saginaw
Ohio Lorain Springfield Hamilton
Wisconsin Racine Madison
Great Plains Iowa Davenport
Kansas Kansas City Topeka
Minnesota St. Paul
Nebraska Lincoln
Gulf South Louisiana Baton Rouge Shreveport
Texas El Paso Austin Beaumont
Corpus ChristiWaco Galveston
Pacific Coast California Pasadena Long Beach Berkeley
Burbank Richmond Glendale
Stockton
Nonurban station locations include both shore and inland
sites. Some inland stations are located in mountainous areas
along the Continental Divide and in the eastern states. Others
are located in farm, forest, desert, or wasteland areas. Non-
urban stations were not selected to serve as "clean air" con-
trol sites for specific urban stations. However, by placing a
nonurban station in each state, there will probably be at least
one such station that will provide data suitable for making
acceptable comparisons between the urban atmosphere of a
specific city with the nonurban atmosphere in the surround-
ing area. All nonurban stations are operated on an '"every
year" basis.
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Flexibility is incorporated in the program through the
inclusion of four interlocking schemes that permit variation
in station locations, times of sample collection, types of
samples collected, and the analytical procedures employed.
Samples from some cities receive more complete analyses
than those from other cities. Provision has been made for
changing any or all of these factors to effect optimum attain-
ment of program objectives.
ATMOSPHERIC POLLUTANTS MEASURED
In order to fully understand the air pollution problem of
a community the chemical composition and concentration of
individual pollutants must be determined and the sources of
these materials established.
Air pollution may be denned as the presence in the outdoor
atmosphere of substances in such quantities, and for such
duration as to be injurious to human, animal, or plant life,
or to property, or which interferes with enjoyment of life and
property. Among the natural pollutants are volcanic ash, soil
and sand particles, sea salt nuclei, pollen, plant matter and
airborne micro-organisms. Pollutants contributed by the
numerous activities of man include many known compounds
and probably a much longer list of products of unknown
composition.
Pollutants may be classified into two types: (a) gases or
vapors, (b) particulate matter consisting of solid particles
and liquid droplets. Particulate matter may be further divided
into larger particles which settle rapidly, and smaller particles
which remain in suspension in the air for varying periods of
time. These latter are called suspended particulate matter
and form the basis for this report.
Suspended Particulate Matter
Polluted atmospheres contain varying quantities of sus-
pended particulate matter, known technically as aerosols.
This suspended particulate matter consists of smoke, dust,
and fumes which are solid, and droplets of viscous liquids.
Particulate matter varies in size from well below 1 micron
to approximately 100 microns, a micron being approximately
1/25,000 of an inch. Among the effects of particulate pol-
lutants are reduction of visibility, soiling of materials, deteri-
oration of materials, plant damage, and possible damage to
health.
This particulate matter may arise from a great many
sources: combustion of solid, liquid, or gaseous fuels, wastes
from metallurgical, chemical, and refining operations, inciner-
ators, and numerous other processes, as well as natural
phenomena such as dust storms, volcanic eruptions, sea spray,
etc. The measurement of the quantity and composition of
suspended particulate matter in the atmosphere sheds light
on the nature of particulate pollution. A complete chemical
analysis of particulate samples from urban and nonurban
areas provides basic data which will be of great value in the
over-all attack on air pollution. Such data may be of use in
pinpointing sources of pollution and in the prediction of
potential health effects.
Organic Pollutants
That fraction of particulate matter that is soluble in solvents
such as benzene, chloroform, or acetone is here classed as
organic matter.
A wide variety of liquid and solid organic materials are
poured into the atmosphere. Among these are substances
which may cause irritation of animal tissue. Many cancer
producing substances have been isolated from atmospheric
organic matter.
Inorganic Pollutants
In contrast to the organic solids considered tarry, the
inorganic solids in the air are gritty, ash-like, or crystalline.
A very large number of such pollutants have been identified.
Since many inorganic materials can be related to specific
industrial processes and operations their presence in the air
can often be used to determine sources of pollution.
A. Chlorides:
Both chlorine and hydrogen chloride are waste or by-
products from synthetic chemical production. These gases
may react with other pollutants to form particulate matter or
may be adsorbed on particulates, thereby becoming true
aerosol pollutants. Considerable quantities of sodium chloride
from salt water may be found in the air of coastal areas.
Chlorides contribute to the corrosive character of polluted
atmospheres.
B. Flourides:
The deleterious effect on plants and animals of atmospheric
fluorides has been recognized for many years. Considerable
amounts of atmospheric fluoride may be contributed by
fertilizer, aluminum, steel, and ceramic industries. The wide-
spread occurrence of fluorides in rocks, ores, etc., may result
in the escape of particulate fluorides to the atmosphere during
processing of these raw materials.
C. Sulfates:
In addition to the liquid sulfuric acid contributed to the
atmosphere by various industrial processes, a considerable
amount may result from atmospheric sulfur dioxide which
is converted to the trioxide, then to sulfuric acid in the pres-
ence of water vapor. This acid reacts with other substances
in the air to form sulfates. Most of the sulfur dioxide arises
from the combustion of coal and other fuels. Therefore, the
particulate sulfate level may reflect the fuel consumption of
a community. Since many sulfates are acid in character, they
generally have corrosive properties.
D. Nitrates:
Nitrates arise in the air in a manner similar to sulfates,
except that nitric acid and oxides of nitrogen are involved
instead of sulfuric acid and oxides of sulfur. The nitric acid
and oxides of nitrogen come from industrial operations and
various combustion processes. The corrosive property of the
atmosphere may be enhanced by the presence of nitrates.
E. Metals:
A large number of metals, metal oxides, and salts are re-
leased to the atmosphere from a wide variety of industrial
processes, urban activities, and natural sources. Since the
effluent from a particular industry is limited to the raw
materials involved, identification of metals in atmospheric
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samples may be of use in pinpointing sources of pollution.
Many metals are known to be toxic at certain concentra-
tions. Potential problem areas may be defined on the basis
of data obtained by the analysis of samples of suspended
particulate matter. Since emission spectrographic procedures
are usually employed for the measurement of metals, it is
possible to analyze a single sample for a large number of
metals with little more effort than required for a few. This
has made possible the accumulation of a great deal of basic
information on the concentrations of many metallic pollutants
whose significance has not yet been determined.
Radioactive Materials
The rapid increase in the use of atomic energy for indus-
trial, medical, and military purposes has stimulated interest
in the measurement of radioactivity of the atmosphere. In
contrast to the majority of particulate pollutants which may
be traced only to local sources, radioactive materials are
unique in that they may be detected from sources several
thousand miles distant. This uniqueness exists as a result of
the super-sensitive methods available for the determination
of radioactive materials, as compared to the lower sensitivity
of the chemical methods used for the other analyses reported
here.
SELECTION OF STATION LOCATIONS
During the period 1953-56, two or more sampling stations
were operated in most communities. The stations were located
in commercial, industrial, residential and rural sections of
either urban or suburban areas, resulting in samples from dis-
tinctly different environments in the communities selected.
It would have been desirable to continue sampling in this
manner; however, budgetary limitations necessitated a cut-
back in this area to allow expansion of Network coverage to
all sections of the country. Hence, since January 1. 1957, only
one station has been operated in each city. Wherever possible,
the site selected was located in a centrally situated business
district. Station elevations of less than 50 feet above ground
were recommended but not obtained in all instances as suit-
able sites were not available. An effort was made to discour-
age location of sampling equipment on buildings immediately
surrounded by higher structures since strong wind eddies
induced by air movement around structures may create dusty
condition's on roofs of nearby lower buildings.
For a given city any differences in data between the site
selected and another sampling site would depend on the
characteristics of the two sites. For example, the data obtained
from a downtown commercial-industrial site could be ex-
pected to be appreciably different from that from a residential
location near the outskirts of town. Further, data from two
commercial-industrial locations in the same general area
should, in general, not differ greatly. Such comparisons may
be made by inspection of the data for comparable time
periods of the several multi-site cities included in the tabular
presentations.
SAMPLING EQUIPMENT AND PROCEDURE
Suspended particulate samples are obtained with a high
volume air sampler (9) operated for 24 hours (Fig. 7)
using an 8" x 10" glass fiber filter (10) capable of removing
practically 100% of all particulates 0.3 micron, or greater,
in diameter.
Fig. 7. Sampler
At most urban stations air flow rates average about 40-50
cubic feet per minute. At nonurban stations the rates are
higher, usually averaging in the 55-65 cfm range. Since air
flow progressively diminishes as particulates accumulate on
and increase the flow resistance of the filter, differences in
average sampling rates reflect differences in the amounts of
particulate matter present as all samplers are set to operate
initially at about 55-65 cfm. The volume of air filtered is
taken as the product of the time interval and the average of
initial and final flow rates observed during each sampling
period, on the assumption that the flow rates decrease uni-
formly during the sampling period.
At all stations activated prior to January 1, 1957, sampling
equipment was housed in shelters constructed by the co-
operating organizations. Recommended shelter specifications
(Fig. 8) were provided by the Sanitary Engineering Center,
but several shelters were not fabricated according to the
proposed design. All shelters did, however, have end open-
ings that permitted air to enter and pass through the sampler
and shelter in a horizontal direction. With this orientation a
variation in sampling could occur depending on the wind
direction. To insure a higher degree of uniformity in filter
exposure, a vertically oriented shelter (Fig. 9) was designed
and provided by the Sanitary Engineering Center for all
stations operated after January 1, 1957. In addition to serving
as a sampler enclosure, the new shelter can be converted
readily into a shipping container for sampling equipment.
Since shelter design may affect collection characteristics of
sampling equipment, care should be exercised when compar-
ing data from samples collected at sites where different types
of shelters have been used. Based on data from ten cities for
a year, average sampler flow during the sampling period
results in an average velocity across the horizontal air inlet
portal of the new shelter of 64 fpm. Since flow is vertically
upward at this velocity collection of particles is limited to
those 100 microns and less in diameter.
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Fig. 8. Horizontal Shelter
Fig. 9. Vertical Shelter and Typical Site
Prior to January 1, 1957, most samples were collected at
the rate of one per week and at times convenient for the
station operators. Since this date, sampling frequency was
reduced to one sample every two weeks to permit inclusion
of additional participants in the expanded program. Station
operators were given sampling schedules specifying the day
of the month and the time of day each period was to begin
and terminate. The days and times were randomly selected
by statistical methods. This was done to reduce the possibility
of having samples collected in time phase with repetitious
conditions which might include significant pollution levels
related to certain time intervals.
Samples are sent to the Sanitary Engineering Center for
analysis as soon as possible after collection. Originally they
were sent to the laboratory in small ointment cans. These
were soon discarded in favor of manila folders (Fig. 10) and
envelopes into which the niters could be placed after folding
in the middle. When filters are transmitted in this manner,
they arrive at the laboratory as smooth sheets that can be
divided readily into aliquots of suitable size.
Fig. 10. Filter and Mailing Container
SAMPLE SCHEDULING
During the first four years, the Network, for the most part,
operated on a weekly sampling basis. At many of the stations
samplers were started and stopped the same hour of the same
day each week. When the decision was made to expand the
Network to give a truly national coverage, budget limitations
demanded a reduction in the number of samples per station.
per year. Therefore, in 1957 the Network began biweekly
sampling with the day and hour of start of each sample
selected according to a randomized schedule (11).
A simple random sampling schedule was adopted as the
best practical means of meeting the basic objectives of the
Network, namely, unbiased estimation of mean daily partic-
ulate levels and of peak loadings during such year. Obviously,
it was impossible to arrange in advance for proportionate
sampling of conditions such as weather, variability of indus-
trial activities, etc., which could affect pollutant levels in each
community during an upcoming year. In addition, analysis
of existing data indicated that proportional allocation of
sampling between weekend and weekday periods would not
produce appreciably more precise estimates of mean partic-
ulate loadings (11).
The randomized schedule for all stations is supplied
by the Network, and is derived yearly as follows: All
possible three digit (or less) numbers are arrayed sequential-
ly, beginning with 1, in columns each with 126 rows. Such
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a table has 7 columns (8 columns would involve 4 digit
numbers) and the maximum entry is 882. Table B is
a portion of this table. The rows of the table are grouped
into 14 sets of 9 rows each, totalling 126 numbers per column,
in which the groups correspond to the number of days in a
two-week sampling period and the 9 rows, numbered 8 to
16, represent the starting hour of the sampler, the period
8 a.m. to 4 p.m. being within the normal working day. The
selection for a particular station is illustrated by Table C,
which is part of a random schedule that was prepared for
one of the Network cities. Numbers 1-882 inclusive were
TABLE B. REFERENCE TABLE FOR DETERMINING DAY
AND HOUR FOR STARTING SAMPLER
Starting
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
880
881
882
Time
8
9
10
11
12
13
14
15
16
8
9
10
11
12
13
14
15
16
14
15
16
Day
1
2
14
TABLE. C. WORKSHEET FOR PREPARATION
OF RANDOM SAMPLING SCHEDULE
Schedule of Sampling Periods
_ i- Dates of
*» sampling
•noa periods
1
2
3
4
5
6
7
8
9
10
11
12
13
14
1/1
1/15
1/29
2/12
2/26
3/12
3/26
4/9
4/23
5/7
5/21
6/4
6/18
7/2
-1/14
-1/28
-2/11
-2/25
-3/11
-3/25
-4/8
-4/22
-5/6
-5/20
-6/3
-6/17
-7/1
-7/15
Random
number
(1-882)
520
397
280
693
870
411
527
153
851
366
822
234
773
423
Hour
14
8
8
16
13
13
12
16
12
13
10
16
15
16
2-3
8-9
8-9
4-5
1-2
1-2
12N-1
4-5
12N-1
1-2
10-11
4-5
3-4
4-5
PM
AM
AM
PM
PM
PM
PM
PM
PM
PM
AM
PM
PM
PM
Day
2
3
4
7
13
4
3
3
11
13
8
12
2
5
Date of
starting
day
Wed. -Jan
Th.-Jan.
Fri.-Feb.
Mon.-Feb
Sun. -Mar
Fri.-Mar.
Th.-Mar.
Th.-Apr.
Fri.-May
Sun. -May
Tue.-May
Sat.-June
. 2
17
1
. 18
. 10
15
28
11
3
19
28
15
Wed.-June 19
Sat.-July
6
drawn at random and entered on the schedule. The first num-
ber drawn, 520, was assigned to the first biweekly sampling
period, that beginning January 1. Referring to Table B, it is
noted that the sampling day fell on the second day of the
sampling period and that the starting time was the 14th hour
of the day. The starting time was between 2:00 and 3:00
p.m. on January 2, the station operators being given an in-
terval of one hour for starting the sampler. Similarly, 25 more
numbers were drawn and assigned to the other biweekly
sampling periods, 397 being the second number selected, 280
the third, etc.
EXPLANATION OF DATA TABULATIONS
Monthly and frequency distribution tables have been pre-
pared for the following atmospheric pollutants: suspended
particulates, acetone soluble organic matter, benzene soluble
organic matter, /3-radioactivity, chlorides, fluorides, nitrates,
sulfates, barium, bismuth, cadmium, copper, chromium, iron,
lead, magnesium, manganese, nickel, postassium, sodium,
strontium, tin, titanium, vanadium and zinc. The data for
antimony, arsenic, beryllium, cobalt, molybdenum and silver
are presented in separate tables.
The sequence in which stations are listed in the data
tabulations is the same as that for the sampling site descrip-
tions.
Monthly Distribution Tables
The monthly distribution tables list the number of samples
analyzed and the minimum, maximum, and average pollutant
concentrations for each month. In these tabulations the data
for all samples collected in each city, including those for
which there was more than one sampling site prior to 1957,
have been pooled to give total monthly distributions for the
combined years of sampling in a given community. Cases
where sampling is indicated but where values are not listed
for minimum, maximum, or average values in a month
indicate that values were below the minimum detectable by
the analytical procedure employed. The total number of
samples in the monthly distribution tables in each instance
equals the number of samples listed in the frequency distri-
bution table for the combined years of station operation in
that city.
Except for radioactivity measurements, monthly data, in
general, are not presented for any station where sample
collection covered less than five months or where most of
the values are below the minimum detectable quantity.
Frequency Distribution Tables
The frequency distribution tables indicate the number of
samples analyzed and minimum, maximum, and average
pollutant concentrations. In addition to listing these data for
each year of operation at a given site, composite values are
presented for all years included in the operating period for
each site. The last group of figures tabulated under a given
station represents values for samples collected at all sites in
the community during the years indicated. For each station
the total number of samples for all years combined is equal
-------
to the sum of the number of samples for the individual years.
Similarly, for each year, the sum of the number of samples
for each site equals that for the city. Lastly, the number of
samples for all sites for all years is the sum of the numbers
of samples for each site for all years. Thus, as in the case
of New York, N.Y. (Table 1), site 1 was operated during
1957 (25 samples); site 2 from 1953 to 1956 inclusive (105
samples); site 3 from 1953 to 1956 inclusive (103 samples)
and site 4 in 1954 and 1955 (26 samples), for a total for all
sites for all years of 259 samples, and as has already been
noted, these 259 samples are included in the monthly distri-
bution table. The month of occurrence of the maximum and
minimum values listed for all sites for all years may be
located in the same monthly distribution table.
Frequency distributions of urban data for most pollutants
are also presented for state, regional, and national totals.
Since the number of suburban and nonurban sites for which
data are available is usually small and in most cases consists
of only one site per state, no state and regional totals for
suburban and nonurban data are given. The state, regional,
and national totals may differ slightly from the results obtain-
ed by summing the data included in the tables due to the
inclusion of data for six sites which were not listed on account
of the small number of samples involved.
The figures appearing in the nine percentile columns of
the frequency distribution table represent maximum concen-
tration values for the nine percentiles designated in the
column headings. For example, in Table 1 for site 1, Everett
Massachusetts, for 1954, the figure 34 shown in the 10%
percentile column indicates that 10% of the samples collected
at site 1 represented suspended particulate concentrations
not greater (equal to or less) than 34 micrograms per cubic
meter of air sampled, and conversely, 90% of the samples
had concentrations greater than 34 /xg/m1 Median concen-
trations may be found in the 50% column.
The nine decile values in the frequency distributions are
determined by an electronic computer which proceeds
mechanically whether or not there are sufficient data to
warrant determination of such deciles. For this reason, there
are included in the print-out decile values for analyses in
which the number of samples is not sufficient to produce
outwardly meaningful results. In such cases, adjacent deciles
may have the same values. To aid in understanding the decile
values, a brief description of the computation procedure
follows:
A. First, the maximum and minimum values in the entire
body of data to be computed were determined. In this
report the entire body of data included all values for
a particular pollutant (e.g. suspended particulate) for
the entire United States for the years 1953-1957,
inclusive.
B. A geometric progression was determined which started
at the minimum value and terminated at the maximum
value in 42 arguments. A geometric progression limited
to 42 steps was used because of the amount of computer
storage space available.
C. The distribution of samples for any pollutant was pre-
pared by assigning each sample to the interval wherein
it exceeded the lower limit and was not greater than
the upper limit.
D. From this distribution a cumulative frequency distribu-
tion, starting with the minimum argument in the table,
was determined.
E. The total number of samples being known, the number
of samples included in each decile, was determined by
multiplying by the appropriate decile, e.g., if the total
number of samples was 104, the number included in
the first decile is 10.4. These values were then rounded
off to the nearest whole number, i.e., 10.4 rounds off
to 10, etc.
F. For each of these nine rounded-off values representing
the deciles the cumulative frequency distribution table
was searched to determine the number in the table equal
to or larger than the rounded-off values. Where a num-
ber was found in the table equal to the rounded-off
value, the corresponding geometric argument was re-
corded as the appropriate decile value. Where the
rounded-off value was not equal to but smaller than a
number in the table, a linear interpolation was per-
formed between the geometric arguments associated
with the numbers in the cumulative frequency distribu-
tion table greater than and less than the rounded-off
value and the interpolated value recorded as the
appropriate decile value.
When the number of samples becomes less than 10,
duplication in adjacent decile values occurs. When there are
9 samples, the rounded-off values of the 50% and 60%
deciles are the same. When there are 5 samples, the 10 and
20%; the 30 and 40%; 50 and 60%; and the 70 and 80%
deciles are pairs of identical values. With less than 5
samples, the lower decile values are zero and 3 or more
decile values are identical until, with only 2 samples, the
10 and 20% deciles are zero; the deciles from 30 through
70% repeat; and the 80 and 90% deciles are identical. As a
result of the procedures used, when deciles are computed for
a small number of samples, the computation can yield results
in which the lowest decile value is less than the minimum
and the highest greater than the maximum. Such decile
values are obviously not valid. However, some frequency
distributions involving only a few samples were included in
the tabulations as they still afford meaningful information
about the samples provided one understands the computing
procedures used. This information would otherwise be
unavailable if all such tabulations were arbitrarily deleted
from the several tables.
Detailed frequency distribution tables have been presented
for suspended particulates, acetone and benzene soluble
organics, and ^-radioactivity, due to the large amount of
data available.
The data for the inorganic pollutants are a condensation
of a more detailed tabulation not included herein. If, for
instance, 15 samples were analyzed for sulfates in 1954 and
13 in 1955, the table will show a single tabulation of 28
samples for the years 1954-1955, if the 15 samples were
collected in the last half of 1954, and the 13 samples in the
first half of 1955. If, on the other hand, the samples analyzed
-------
10
for a given year were well distributed throughout the year
the data are presented on a yearly basis.
The number of samples containing concentrations of
antimony, arsenic, beryllium, cobalt, molybdenum and silver
above the minimum detectable quantity was so small that the
data could not be presented in the same manner as for those
pollutants mentioned above. It was impossible to compute
average levels, and there was no basis for setting up frequency
distribution tables due to the narrow ranges of values found.
Since a large number of samples had been analyzed for these
materials the data should be of interest. The total number of
samples analyzed for a city, suburban or nonurban station,
the minimum concentration which, in all cases, is below the
detectable level, the maximum concentration, and the number
of samples showing less than the detectable amount, are
shown in separate tables.
SAMPLING SITE DESCRIPTIONS
AND PARTICIPATING ORGANIZATIONS
Sampling sites for urban and suburban stations have been
classified (Table D) with respect to the general area in which
they were located, namely, commercial, industrial, residential
or rural. In some instances stations have been located in
districts encompassing two or more of these general categories.
Area classifications have been coded using the letters C, I,
R or RU to designate commercial, industrial, residential or
rural, respectively. Immediately following each area abbrevia-
tion, the height of the station above ground level has been
given. Following this are the station address and the name of
the participating organization. In the absence of well defined
guides for classifying the areas involved, individual opinions
on site descriptions may vary considerably. In most cases,
however, the classifications presented are believed to be
commensurate with common interpretations of zonal divisions
in the areas in question.
Nonurban stations have been placed in the following
geographic and land use categories: Atlantic, Gulf of Mexico,
Appalachian, Great Lakes, Continental Divide, Pacific, forest,
farmland, and desert or wasteland. Station elevation above
sea level and the name of the participating agency appear
after the classification for each nonurban station. In some
instances classifications overlap; for example, a mountain site
may also be in a forested area.
The cities comprising the 1953-57 Network are listed in the
following sampling site descriptions, in the same sequence as
they appear in the data tabulations later in this report. This
sequence is as follows:
A. Within each city, sites are listed in numerical order.
B. Within each state, cities are listed in the order in which
they were added to the Network (in order to facilitate
data processing using electronic computers). Rearrange-
ment of cities into alphabetic order within each state
tends to introduce errors into the tabulation, which is
to be avoided.
C. States and territories are listed alphabetically within the
following nine regional groupings, corresponding to the
regional organization of the Public Health Service:
New England: Conn., Me., Mass., N.H., R.I., Vt.
Mid Atlantic: Del., N.J., N.Y., Pa.
Mid East: Dist. of Col., Ky., Md., N.C., Puerto Rico,
Va., W.Va.
South East: Ala., Fla., Ga., Miss., S.C., Tenn.
Mid West: 111., Ind., Mich., Ohio, Wise.
Great Plains: la., Kans., Minn., Mo., Nebr., N.D.,
S.D.
Gulf South: Ark., La., N.M., Okla., Tex.
Rocky Mountain: Colo., Id., Mont., Utah, Wyo.
Pacific Coast: Alaska, Ariz., Calif., Hawaii, Nev.,
Ore., Wash.
The geographical designations have been added for the
purposes of this report since these names are more mean-
ingful than the numerical designations of Public Health
Service Regions customarily employed.
TABLE D. SAMPLING SITE DESCRIPTIONS
AND PARTICIPATING ORGANIZATIONS
URBAN STATIONS
NEW ENGLAND
Waterbury, Conn.—C I, 54 ft., City Hall,
City Health Department.
Hartford, Conn.**—C I, 19 ft., 1179 Main
St., State Health Department.
New Haven, Conn.**—C R, 58 ft., 165
Elm St., Yale University, City Health
Department.
Stamford, Conn.**—C, 45 ft., Central Fire
Station, 653 Main St., City Health De-
partment.
Portland, Me.**—C, 74 ft, 178 Middle St.,
State Health Department.
Boston, Mass.—C, 55 ft., Haymarket Square,
State Health Department.
Pittsfield, Mass.**—I C R, samples obtain-
ed at several points. State Health Depart-
ment.
Everett, Mass.—I C R, 30 ft., Public Works
Department Garage, State Health De-
partment.
Lawrence, Mass.**—C, 37 ft., Lawrence Ex-
periment Station, 37 Shattuck St., State
Health Department.
Lynn, Mass.**—C I, 34 ft., City Hall, City
Health Department.
Somerville, Mass.**—I R, 47 ft., Somerville
High School, City Health Department.
Worcester, Mass.**—C, 60 ft., Police Head-
quarters Building, 5 Waldo St., City
Health Department.
Manchester, N. H.*—C, 45 ft., Police Sta-
tion, 351 Chestnut St., City Health De-
partment.
Providence, R. I.**—Site 1—C I, 22 ft.,
Police Headquarters Building, Fountain
St., City Division of Air Pollution Con-
trol and Mechanical Equipment Installa-
tions.
Site 2—R, 22 ft., Mt. Pleasant High
School, City Division of Air Pollution
Control and Mechanical Equipment In-
stallations.
-------
11
Burlington, Vt.**—C, 26 ft., 115 Colches-
ter Avenue, State Health Department.
MID ATLANTIC
Wilmington, Del.**—C, 40 ft., Public Build-
ing, French St., between 10th & llth Sts.,
City Health Department.
Atlantic City, N. J.**—C, 2 ft., Boardwalk
& New Jersey Ave., New Jersey Health
Department.
Hightstown, N. J.**—C R, 2 ft., New Jer-
sey Turnpike Maintenance Building, Exit
No. 8, New Jersey Health Department.
Glen Gardner, N. J.**—R, 2 ft., Glen Gard-
ner Sanitarium, Lebanon Township, New
Jersey Health Department.
Red Bank, N. J.** — R, 2 ft., Tower Hill
Filter Station, Red Bank Water Depart-
ment, New Jersey Health Department.
Elizabeth, N. J.—I C R, 17 ft., Turnpike
Maintenance Building No. 5, City Health
Department.
Paulsboro, N. J.—I R, 15 ft., Water De-
partment Building, Pump House No. 3,
State Health Department.
Camden, N. J.—C, 55 ft., City Bureau of
Fire Building, 5th & Arch Sts., City Bu-
reau of Fire.
Perth Amboy, N. J.—C, 20 ft., City" Fire
Department Building, Engine Company
No. 6, State Health Department.
Trenton, N. J.—C, 60 ft., State House An-
nex, State Health Department.
Jersey City, N. J.—C I, 85 ft., Medical Cen-
ter Building, City Health Department.
East Orange, N. J.**—R I, 218 ft., Veterans
Administration Hospital, Veterans Hos-
pital Engineering Department.
Newark, N. J.**—C I, 65 ft., City Health
Department Building, 920 Broad St., City
Health Department.
New York, N. Y.—Site 1—R C, 75 ft., 170
East 121st St., Manhattan, Air Pollution
Laboratory, City Department of Air Pol-
lution Control.
Site 2—I R, 25 ft., 207 Norman Avenue,
Greenpoint, City Department of Air Pol-
lution Control.
Site 3—Park R, 75 ft., Central Park, New
York Meteorological Observatory, City
Department of Air Pollution Control.
Site 4—R, 2 ft., Staten Island, Rossville,
Wagner College.
Binghamton, N. Y.** — C I, 36 ft., City
Health Department Building, 54 Hawley
St., City Health Department.
Buffalo, N. Y.*—C R I, samples obtained
at several points. City Department of
Public Works.
Schenectady, N. Y.**—C R, Fire Station
No. 6, Eastern & Wendell Ave., City
Health Department.
Syracuse, N. Y.**—I R, 30 ft., Water Sup-
ply Building, 101 North Beech St., City
Division of Smoke and Air Pollution Con-
trol, Department of Engineering.
Utica, N. Y.**—I, 95 ft., City Health De-
partment Building, 406 Elizabeth St., City
Health Department.
Philadelphia, Pa.—Site 1—C, 236 ft., City
Hall Annex, City Health Department.
Site 2—C R, 20 ft., Lombard Laboratory,
Lombard & 16th Sts., City Health De-
partment.
Site 3—R, 50 ft., Greenhills Manor, City
Health Department.
Site 4—C I R, 27 ft., Frankford Health
Center, Allegheny & Frankford Ave., City
Health Department.
Site 5—Park R, 20 ft., Memorial Hall,
Fairmount Pk. City Health Department.
Site 6—C R, 100 ft., St. Agnes Hospital,
Synder Ave. & Broad St., City Health
Department.
Site 7—R, 20 ft., Fire Station, Van Kirk
& Harbison Sts., City Health Department.
Altoona, Pa.—C R, 35 ft., Armory, Howard
Ave., State Health Department.
Bristol, Pa.—R, 4 ft., Bristol Waterworks,
Riverside, State Health Department.
Chester, Pa.—I C R, 15 ft., Sewage Disposal
Plant, Front & Clayton Sts., State Health
Department.
Erie, Pa.—R, 2 ft., Sigsbee & 26th Sts., State
Health Department.
Pittsburgh, Pa.—Site 1— C R, 18 ft., 3400
Forbes St., State Health Department.
Site 2—C, 25 ft., City-County Building,
Allegheny County Health Department.
Williamsport, Pa.—I R, 7 ft. ,140 East 3rd
St., State Health Department.
Allentown, Pa.**—C I, 37 ft., City Hall,
626 Linden St., City Health Department.
Johnstown, Pa.**—C, Public Safety Build-
ing, Market & Washington Sts., State
Health Department.
Lancaster, Pa.**—C I, 35 ft., Post Office
Building, Marion & Market Sts., State
Health Department.
Scranton, Pa.** — C, 50 ft., Fire Station,
Mulberry & Washington Ave., State
Health Department.
MID EAST
Washington, D. C.—Site 1—C R, 70 ft., U.
S. Department of Health, Education &
Welfare Building, North, District of Col-
umbia Health Department.
Site 2—C R, 65 ft., Cardozo High School,
District of Columbia Health Department.
Site 3—R, 75 ft., Upshur & 13th Sts., N.
W., District of Columbia Health Depart-
ment.
Louisville, Ky.—Site 1—R, 20 ft., Broadway
& 37th St., Jefferson County Air Pollu-
tion Control District.
Site 2—R, 20 ft., 5600 South 3rd Sts., Jef-
ferson County Air Pollution Control Dis-
trict.
Site 3—Park R, 12 ft., Iroquois Park,
Jefferson County Air Pollution Control
District.
Site 4—C, 7th & Jefferson Sts., Jeffer-
scon County Air Pollution Control Dis-
trict.
Baltimore, Md.—C I, 39 ft., Fire Depart-
ment Headquarters Building, 410 East
Lexington Sts., City Health Department.
Charlotte, N. C.*—C R, 40 ft., Health De-
partment Building, 615 East 4th St., City
Health Department.
Winston Salem, N. C.**—C 1, 18 ft., For-
sythe Health Department Building, Wood-
land Ave. & West 7th St., Forsythe Coun-
ty Health Department.
San Juan, P. R.** —C I, 15 ft., Public
Health Building, Catano, Puerto Rico
Health Department.
Norfolk, Va.*—C I, 46 ft., City Health
Department Building, 512 East Plume St.,
City Health Department.
Richmond, Va.** — C R, 75 ft., Mosque
Building, Laurel & Main Sts., City Divi-
sion of Air Pollution Control, Depart-
ment of Public Safety.
Charlestown, W. Va.—Site 1—C I R, 120
ft., State Office Building, 1800 East Wash-
ington St., State Health Department.
Site 2—C I R, 100 ft., Parking Building,
212 California Ave., State Health Depart-
ment.
Wheeling, W. Va.**—C, 38 ft., Fire Station,
Eoff & 17th Sts., City Department of Air
Pollution Control.
SOUTH EAST
Birmingham, Ala.**—C R, 40 ft., Univer-
sity Medical Center, 1912 Eighth Ave.,
So., Jefferson County Health Department
Tampa, Fla.—C, 50 ft., City Hall, Lafayette
between Florida & Franklin Sts., City Bu-
reau of Sanitary Sewers, Department of
Public Works.
Miami, Fla.**—C I, 30 ft., Flagler St. be-
tween Miami & 2nd Ave., City Building
Department and Dade County Health De-
partment.
Atlanta, Ga.—Site 1—C, 12 ft., Health De-
partment Building, 224 Central Ave., S.
W., Fulton County Health Department.
Site 2—R, 15 ft., Fire Station No. 27,
Northside Drive & W. Conway Drive,
Fulton County Health Department.
Columbus, Ga.**—C I, 35 ft., Police Sta-
tion, 156 First Ave., City-County Health
Department.
Jackson, Miss.**—C R, 90 ft., Old Capitol
Building, Capitol & State Sts., State
Health Department.
Columbia, S. C.**—C I, 25 ft., Laurel &
Sumter Sts., City Inspection Division,
Smoke Abatement Control, Department
of Public Works.
Greenville, S. C.**—C, City Curb Market,
200 Elford St., City Division of Smoke &
Air Pollution Control.
Chattanooga, Tenn.—Site 1—C, 4 ft., sam-'
pies collected at several points. City Bu-
reau of Air Pollution Control & Boiler
Inspection.
Site 2—R, 3 ft., to 24 ft., samples col-
lected at several points. City Bureau of
Air Pollution Control & Boiler Inspec-
tion.
Site 3—R, 4 ft., Tuberculosis Hospital,
Glenwood Ave., City Bureau of Air Pol-
lution Control & Boiler Inspection.
Site 4—C, 4 ft., City Hall, Lindsay &
East llth St., City Bureau of Air Pollu-
tion Control & Boiler Inspection.
486455 O -58 -2
-------
12
Knoxville, Term.**— C I, 90 ft., Masonic
Building, 505 Locust St., City of Knox-
ville Bureau of Smoke Regulation & Boil-
er Inspection, Department of Public
Service.
Nashville, Tenn.*—C I, 98 ft., City-County
Building, Public Square, City Bureau of
Inspection & Permits, Division of Smoke
Regulation, Department of Public Works.
MID WEST
Chicago, 111. — Site 1 — C, 20 ft., Water
Tower, Michigan & Chicago Aves., City
Department of Air Pollution Control.
Site 2—C, 46 ft.. City Shops, 1348 Mon-
roe, City Department of Air Pollution
Control.
Site 3—R, 40 ft., 7300 Pratt Boulevard,
City Department of Air Pollution Control.
Site 4—1 R, 35 ft., Filtration Plant, 79th
St. & Lake Michigan, City Department of
Air Pollution Control.
Site 5—C, City Office Building, 320 N.
Clark St., City .Department of Air Pollu-
tion Control.
East St. Louis, 111.—Site 1—C, 60 ft., Fed-
eral Building, 435 Missouri Ave., East
Side Health District.
Site '2—R, 40 ft., Harding School, 731
North 74th St., East Side Health District.
Springfield, 111.**—C, Fire Station No.'1,
718 East Monroe, City Department of
Public Health & Safety.
East Chicago, Ind.—Site 1—I, 40 ft., Fire
Station No. 2, Elm & Guthrie Sts., City
Bureau of Air Pollution Control.
Site 2—1, 30 ft., Sewage Disposal Plant.
City Bureau of Air Pollution Control.
Site 3—I, 45 ft., Indiana University, City
Bureau of Air Pollution Control.
Site 4—1, 25 ft., Cudahy Packing Co.,
City Bureau of Air Pollution Control.
Evansville, Ind.**—C, Central Library, 5th
& Locust St., City Department of Smoke
Control, Board of Public Works.
Ft. Wayne, Ind.**—C, 18 ft., Police Garage
Building, 316 East Berry St., City Build-
ing Department.
Indianapolis, Ind.*—C, 46 ft., Fire Station,
Alabama & New York Sts., Bureau of
Air Pollution Control.
Detroit, Mich.—Site 1—C, 150 ft., Majestic
Building, Woodward & Michigan, City
Bureau of Smoke Inspection & Abate-
ment, Department of Buildings & Safety
Engineering & Public Health Service
Site 2—C, 65 ft., 1416 Woodward, City
Bureau of Smoke Inspection & Abate-
ment, Department of Buildings & Safety
Engineering.
Site 3—R, 25 ft., 14717 Curtis, City Bu-
reau of Smoke Inspection & Abatement,
Department of Buildings & Safety Engi-
neering.
Site 4—C, 78 ft., Detroit Public Library,
5201 Woodward, City Bureau of Smoke
Inspection & Abatement, Department of
Buildings & Safety Engineering.
Grand Rapids, Mich.**—C, 26 ft.. City
Hall, Ionia Avenue & Lyon Sts., City Air
Pollution Control & Heating Department.
Kalamazoo, Mich.**—C, Upjohn Building,
West Lovell & South Rose Sts., City-
County Health Department.
Lansing, Mich.**—C, 22 ft., Central Fire
Station, 120 E. Shiawassee St., City Air
Pollution Board.
Flint, Mich.**—C, 40 ft., Fire Station No. 2,
Garland St. & 5th Ave., City Department
of Weights & Measures.
Cincinnati, O.—Site 1—C R I, 80 ft., 417
Lincoln Park Drive, City Bureau of Air
Pollution Control & Heating Inspection.
Site 2—R..75 ft., Abbe Observatory, La-
fayette Circle, Robert A. Taft Sanitary
Engineering Center, Public Health Service.
Site 3—R C, 48 ft., 4676 Columbia Park-
way, Public Health Service, Robert A.
Taft Sanitary Engineering Center, Public
Health Service.
Site 4—I C, 2 ft., Murray Road, Robert
A. Taft Sanitary Engineering Center, Pub-
lic Health Service.
Youngstown, O.—C I, 105 ft., City Hall.
Boardman & Phelps, City Air Pollution
Control Section, Division of Engineering,
Department of Public Works.
Canton, O.**—C, 25 ft., Main Post Offce,
Cleveland Ave., S. W. between 2nd & 3rd
Sts., City Health Department.
Cleveland, O.*—C R I, 30 ft.. Post Offce,
1950 East 101st St., City Division of Air
& Stream Pollution, Department of Ur-
ban Renewal & Housing.
Columbus, O.** — C, 55 ft., State Capitol
Annex, Broad & High Sts., City Division
of Smoke Regulation & Inspection, De-
partment of Safety.
Toledo, O.**—C R, 24 ft., Water Depart-
ment Building, 565 North Erie St., City
Division of Air Pollution Control & In-
spection, Department of Public Safety.
Lorain, O.** — C I R, 20 ft., Board of
Health Building, 14th St., City Board of
Health, Department of Public Service.
Milwaukee, Wise—C I, 60 ft., Public Li-
brary, West Wells & North 9th Sts., Mil-
waukee County Department of Smoke
Regulation.
Racine, Wise.**—C I, 17 ft., Police Depart-
ment Building, 107 Third St., City Health
Department.
GREAT PLAINS
Des Moines, Ja.*—C, 32 ft., Fire Station
#1, 10th' & Mulberry, City-County Health
Department.
Kansas City, Kans.**—Site 1—C, 20 ft.,
Fire Station, 5th St. & Kansas Ave., City-
County Health Department. •
Site 2—C R, 25 Ft., Health Department
Building, 619 Ann Ave., City-County
Health Department.
Wichita, Kans.*—C, 35 ft., Fire Station,
Third & Water Sts., City-County Health
Department.
Minneapolis, Minn. — C I, 64 ft., State
Health Department Building, University
of Minnesota, State Health Department.
Duluth, Minn.**—C I, 63 ft., 409 City Hall,
City Health Department.
Kansas City, Mo.—Site 1—C, 200 ft., Fed-
eral Offce Building, 911 Walnut St., Pub-
lic Health Service.
Site 2—C, 15 ft., Police Garage Building,
1325 Oak St., City Health Department.
Site 3—R, 3 ft., 309 East 68th Terrace,
Public Health Service.
Site 4—Park R, 3 ft., Swope Park, City
Health Department.
St. Louis, Mo.—Site 1—C, 58 ft., Post Of-
fice, 18th & Market Sts., City Division of
Health, Department of Public Welfare.
Site 2—R, 25 ft., Wohl Health Center,
City Division of Health, Department of
Public Welfare.
Brentwood, Mo.**—C, 30 ft., City Hall, St.
Louis County Health Department.
Breckenridge, Mo.**—C I R, 75 ft., Tele-
phone Building, Woodson & Charles Sts.,
St. Louis County Health Department
Omaha, Nebr.**—C, 115 ft., City Hall, 18th
& Farnam Sts., City Smoke Abatement
Division, Department of Public Safety.
Lincoln, Nebr.** — C, 30 ft., 1401 "O"
Street, City-County Health Department.
Bismarck, N. D.* — C, 40 ft., Memorial
Building, 216 Sixth St., City Department
of Health & Building Inspection.
Sioux Falls, S. D.**—C, 55 ft., City Hall,
8th & E. Sts., City Health Department.
GULF SOUTH
Little Rock, Ark.** — R C, 50 ft., State
Health Department Building, West Capitol
Ave. & Wolfe St., State Health Depart-
ment.
New Orleans, La.—Site 1—C I, 80 ft., City
Hall Annex, Carondelet & Lafayette Sts.,
State Health Department.
Site 2—Park R, 57 ft., Southern Region-
al Research Laboratory, Robert E. Lee<
Blvd. & City Park, State Health Depart-
ment.
Site 3—C I, 74 ft., Post Offce Building,
Lafayette & Camp Sts., State Health De-
partment.
Baton Rouge, La.** — C, 14 ft., Health
Clinic Building, 1819 Florida Street, East
Baton Rouge Parish Health Unit.
Albuquerque, N. M.**—C I, 15 ft., Health
Department Building, 2nd & Copper Sts.,
City Health Department.
Tulsa, Okla.*—C, Health Center, 4616 East
15th St., City-County Health Department.
Ft. Worth, Tex.—C, 60 ft., City Hall, 9th &
Monroe Sts., City Health Department.
Lakeworth Village, Tex. — R, 15 ft., Fire
Station, Ft. Worth Health Department.
Houston, Tex.—Site 1—I C, 85 ft., Police
Department Building, City Health Depart-
ment.
Site 2—C, 30 ft., Auditorium, 2300 Com-
merce St., City Health Department.
Bellaire, Tex.—C R I, 20 ft., Post Offce
Building, Houston Health Department.
Dallas, Tex.**—C I, 30 ft., Health Depart-
ment Building, 601 So. Akard St., City
Health Department.
San Antonio, Tex.** — C I, 20 ft., City
-------
Water Board Building, 106 W. Market
St., City Health Department.
El Paso, Tex.**—C I, 34 ft., Health De-
partment Building, 118 W. Missouri St.,
City-County Health Unit.
Corpus Christi, Tex.**—C R, 18 ft., Memo-
rial Hospital, 2606 Hospital Blvd., City-
County Health Department.
ROCKY MOUNTAIN
Denver, Colo.—C I, 60 ft., School Admin-
istration Building, 14th & Tremont Sts.,
Division of Air Pollution Inspection, City
Building Department.
Boise, Idaho**—C, 50 ft., Central Fire Sta-
tion, 6th & Idaho Sts., City-County Health
Department.
Helena, Mont.**—R C, 20 ft.. State Lab-
oratories Building, Lockey Ave. & N.
Roberts St., State Board of Health.
Salt Lake City, Utah—I C, 60 ft., Police
Station Building, 2nd St. W. & S. 9th St.,
City Board of Health.
Cheyenne, Wyo.*—C R, 53 ft., State Offce
Building, 24th & Warren Ave., State De-
partment of Health.
PACIFIC COAST
Anchorage, Alaska—Site 1—C, 15 ft., City
Fire Hall, Arctic Health Research Center,
Public Health Service.
Site 2—C, 30 ft., Arctic Health Research
Center, 6th Ave. & L St., Public Health
Service.
Phoenix, Ariz.**—C, Central Fire Station,
Washington & 3rd Ave., Maricopa Coun-
ty Health Department.
Los Angeles, Calif.—Site 1—I, 15 ft., Ver-
non Area, 5201 Santa Fe, Los Angeles
County Air Pollution Control District.
Site 2—R, 4 ft.. North Hollywood, Los
Angeles County Air Pollution Control
District.
Site 3—C, 3 ft., Pershing Square, 6th &
Olive, Los Angeles County Air Pollution
Control District.
San Francisco, Calif.—Site 1 — 14 ft., Ft.
Miley Military Reservation, City Health
Department.
Site 2—C, 32 ft., San Francisco Health
Department Building, 101 Grove St., City
Health Department.
Pasadena, Calif.—Park R, 3 ft., Memorial
Park, Holly & Raymond Sts., Los Angeles
County Air Pollution Control District and
California Institute of Technology.
Berkeley, Calif.—C, 12 ft., Berkeley Park,
State Health Department.
San Jose, Calif.—C R, 14 ft., County Health
Center, 2220 Moorpark Ave., Santa Clara
County Health Department.
San Leandro, Calif.—R, 32 ft., Alameda
County Health Department Building,
15000 Foothill Blvd., Alameda County
Health Department .
San Diego, Calif.**—C I, 44 ft., Public
13
Library Building, 820 East St., City Health
Department.
Burbank, Calif.**—C, 6 ft., Burbank Blvd.
& Sparks St., Los Angeles County Air
Pollution Control District.
San Bernardino, Calif.**—C R, 2 ft., Court
House Building, 172 W. Court Street, San
Bernardino County Air Pollution Control
District.
Honolulu, Hawii* — Site 1 — C R, 15 ft.,
Kapuaiwa Building, Hawaii Department
of Health.
Site 2—C R, Kapahula Health Center,
Hawaii Department of Health.
Las Vegas, Nev.**—C, 30 ft., Fire Alarm
Building, 1235 S. Main St., Clark County
Health Department.
Portland, Ore.—Site 1—C, 125 ft., State Of-
fice Building, 1400 S. W. 5th Ave., Ore-
gon State Air Pollution Authority.
Site 2—1, 45 ft., Guilds Lake, Oregon
State Air Pollution Authority.
Site 3—R, 50 ft., Rigler School, Oregon
State Air Pollution Authority.
Site 4—1, 30 ft., Fire Station No. 16,
Oregon State Air Pollution Authority.
Site 5—1 R, 45 ft., Fire Station No. 30,
Oregon State Air Pollution Authority.
Site 6—Fire Station No. 25, Oregon State
Air Pollution Authority.
Seattle, Wash.—C I, 51 ft., 7th Ave. So. &
Charles St., City Department of Eng.
TABLE D. SAMPLING SITE DESCRIPTIONS
AND PARTICIPATING ORGANIZATIONS
SUBURBAN STATIONS
NEW ENGLAND
Middlesex County, Mass.—R, 40 ft., Oak
Hill Fire Station, State Health Depart-
ment.
MID ATLANTIC
Lakehurst, N. J—R, 29 ft.. General Service
Building, Naval Air Station, State Health
Department.
MID EAST
Kanawha County, W. Va. — RU, 35 ft.,
Charleston Airport, State Health Depart-
ment.
SOUTH EAST
Hillsborough County, Fla.—R, 75 ft., Tam-
pa Airport, City of Tampa Bureau of
Sanitary Sewers, Department of Public
Works.
Fulton County, Ga R, 35 ft., Atlanta Air-
port,—RU, 9 ft., Fulton County Farm,
Fulton County Health Department.
MID WEST
Hamilton County, O.—RU, 1,5 ft., Winton
Woods, Robert A. Taft Sanitary Engineer-
ing Center, Public Health Service.
GREAT PLAINS
Tonka Bay, Minn.—R, Interlachen Road,
Tonka Bay Village, State Health Depart-
ment
Edina, Minn.**—R, 5 ft., 6333 Ryan Ave.,
State Health Department.
ROCKY MOUNTAIN
Denver County, Colo.—R, 50 ft., Moffat
Water Filtration Plant, Denver Depart-
ment of Air Pollution Control.
Salt Lake County, Utah—R, Police Depart-
ment Rifle Range & Division of Occupa-
tional Health Field Station, Public Health
Service, and Salt Lajce City Health De-
partment.
PACIFIC COAST
Multnomah County, Ore.—RU, 25 ft., Hill
Military Academy, State Health Depart-
ment.
TABLE D. SAMPLING SITE DESCRIPTIONS
AND PARTICIPATING ORGANIZATIONS
NEW ENGLAND
Connecticut—Litchfield County**, Wigwam
Reservoir, Farmland, Waterbury Health
and Water Departments.
Maine—Acadia National Park**, Atlantic,
37 ft., National Park Service.
Vermont—Mt. Mansfield State Forest**,
1100 ft., State Health Department.
NONURBAN STATIONS
MID EAST
Maryland—Worcester County**, Farmland,
96 ft., Worcester County Health Depart-
ment and State Health Department.
North Carolina—Cape Hatteras National
Seashore Recreational Area**, Atlantic,
1 ft., National Park Service.
Virginia — Shenandoah National Park**,
Forest 3000 ft., National Park Service.
West Virginia—Holly River State Park**,
Mountain, 1503 ft., State Conservation
Commission and State Health Department.
SOUTH EAST
Alabama—Gulf Shores State Park**, 6 ft.,
Baldwin County Health Department and
State Park Service.
-------
14
Florida—Florida Keys**, Atlantic, Monroe
County Health Department.
Georgia—Oatland Island**, Chatham Coun-
ty, Atlantic, 11 ft., Communicable Dis-
ease Center Laboratories, Public Health
Service.
Mississippi—Jackson County**, Gulf, 6 ft.,
State Institutions of Higher Learning,
Gulf Coast Research Laboratory.
Tennessee—Ft. Donelson National Military
Park**", Farmland, 490 ft., National Park
Service.
MID WEST
Illinois—Sangamon County**, Lake Spring-
field. Farmland, 590 ft., State Health De-
partment.
Michigan—Huron County**, Sleeper State
Park, Great Lakes, 600 ft., State Conser-
vation Department and State Health De-
partment.
Ohio—Perry's Victory and International
Peace Memorial**. Great Lakes, 590 ft.,
National Park Service.
GREAT PLAINS
Kansas—Ellis County**, Farmland, 2014
ft., State Health Department.
Minnesota—Cook County**, Great Lakes,
630 ft., National Forest Service.
Missouri — Shannon County**, Missouri
State Forest, 1375 ft., State Conservation
Commission and State Health Department.
Nebraska—Thomas County**, Farmland, U.
S. Forest Service.
North Dakota — Ward County**, Upper
Souris National Wildlife Refuge, Farm-
land, 1500 ft., U. S. Fish and Wildlife
Service.
South Dakota—Black Hills National For-
est**, 5000 ft., U. S. Forest Service.
ROCKY MOUNTAIN
Wyoming — Yellowstone National Park**,
Mountain, 5965 ft., National Park Service.
PACIFIC COAST
Alaska—Pt. Woronzof, Cook Inlet, Forest,
190 ft., Arctic Health Research Center,
Public Health Service.
Arizona—Grand Canyon National Park**,
Desert, 6975 ft., National Park Service.
Hawaii—Waimanalo**, Bellows Fields, Pa-
cific, 14 ft., Territorial Health Depart-
ment.
HOW TO FIND DATA FROM A
PARTICULAR CITY OR SITE
In order to facilitate the location of data from a particular
city or site in the numerous data tables, use is made of the
list of sampling sites (Table D) rather than a separate index.
Although some exceptions to the following rules occur, for
the most part they will serve as a satisfactory guide to the
finding of data for each site listed. If the name of the station
is not followed by an asterisk data for that station are found
in practically all tables. If the name is followed by an asterisk,
data from that station may be found only in Tables 1 to 8.
Data from stations marked with two asterisks will be found
only in Tables 1 to 4.
Data for suburban and nonurban sites are listed together
in Table 2 and Tables 5 through 31 due to the small number
of stations involved.
EXPLANATION OF UNITS USED IN DATA TABLES
Normally, concentrations of particulate atmospheric pol-
lutants are expressed in micrograms per cubic meter of air
with the exception of radioactivity which is reported as
micromicrocuries per cubic meter. To improve the legibility
of the tables the data for all pollutants are given as whole
numbers without decimal points or leading zeros and, except
in Table 1, must be adjusted for the units noted in the table
heading. For example, in the table for acetone soluble mat-
ter, the concentration is expressed as jug/m3 x 1O1, which
means that to obtain the value in /xg/m3 the tabular data
should be multiplied by 10'1 or 1/10 in each case. Units used
in all data tables and conversion of these to the common
units are shown in Table E. The minimum detectable amount
for each pollutant (by the method of analysis employed) is
also shown in this table.
TABLE E. UNITS USED IN DATA TABLES
Pollutant
Suspended
Particulates
Acetone
Solubles
Benzene
Solubles
Radioactivity
Chlorides
Fluorides
Nitrates
Sulfates
Antimony
Arsenic
Barium
Beryllium
Bismuth
Cadmium
Chromium
Cobalt
Copper
Iron
Lead
Magnesium
Manganese
Molybdenum
Nickel
Potassium
Silver
Sodium
Strontium
Tin
Titanium
Vanadium
Zinc
Unit used
in table
K
fig x 10-1
fig x 10-1
fine x 10-1
fig x 10-1
fig X ID'2
lig x 10-1
ng x 10-i
^g x 10-3
fig X ID'2
fig x lO-3
fig x 10-3
fig X lO-3
fig X ID'3
fig x 10-3
tig X ID'3
fig X ID'2
fig x 10-'
lig x 10-1
fig x 10-1
fig X 10-2
fig X ID'2
lig X ID"3
fig x 10-1
fig x 10-"
lig x 10-1
fig X ID'2
fig X ID"3
lig X ID"2
fig X ID"2
lig x lO-2
Value as
found in
table
482
324
198
4318
112
211
64
319
100
102
230
11
32
24
48
20
168
81
46
35
75
12
40
16
15
57
43
123
48
51
550
Corre- Minimum
spending detectable
value in quantity
lig/m3 /tg/m3
482.0
32.4
19.8
431.8*
11.2
2.11
6.4
31.9
0.100
1.02
0.230
0.011
0.032
0.024
0.048
0.020
1.68
8.1
4.6
3.5
0.75
0.12
0.040
1.6
0.0015
5.7
0.43
0.123
0.48
0.51
5.50
1.0
0.1
0.1
0.1*
0.1
0.01
0.1
0.1
0.025
0.01
0.005
0.003
0.002
0.002
0.002
0.003
0.01
0.1
0.1
0.1
0.01
0.01
0.002
0.1
0.0005
0.1
0.01
0.003
0.01
0.01
0.05
"Radioactivity is expressed in /i/j.c/m3.
-------
15
DATA TABLES
-------
TABLE 1. SUSPENDED PARTICULATE MATTER—URBAN STATIONS
17
STATION LOCATION
W A T E R B U R Y CONN
HARTFORD CONN
NEW H A V £ N CONN
STAMFORD CONN
PORTLAND MAINE
6 0 S T 0 11 l.i A S S
PITTSFItLu MASS
EVERETT MASS
L A .,' R E N C L >.( ASS
L Y U N i\: ASS
S 0 .a E R V i L L E MASS
'.V 0 H C E S T E R 1/1 A S S
•IA« CHESTER N H
PROVIDENCE R 1
BURLINGTON V T
'<•' 1 L (.1 1 N G T 0 h DEL
ATLANTIC C 1 T v N J
H 1 G H T S T 0 ,< n N J
b L E H GARDNER fl 1
RED BANK N J
ELIZABETH N J
PAULSbOHO n J
C A M D E N N J
PERTH A M B 0 Y H J
TRENTON N J
JERSEY CITY N J
SITE
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
'S,
2
2
i
i
i
i
i
i
i
i
i
i
i
i
i
i
i
i
i
i
i
i
i
i
i
i
i
i
i
i
i
i
i
i
i
i
i
YEARS
b 4
5 5
5 G
54 50
5 7
5 7
b 7
5 7
5 *4
5 5
b 6
5 7
b 4 57
5 5
5 6
55 5 b
5 4
5 5
5 6
54 56
5 7
5 7
5 7
5 7
S 7
5 4
5 5
5 7
54 57
5 4
5 5
54 55
5 4
5 5
5 7
54 57
57
57
5 4
S 5
54 55
5 4
5 5
54 55
5 4
5 5
54 55
5 4
5 5
54 55
5 5
5 f,
55 56
5 5
5 6
55 bo
5 5
5 6
57
55 57
5 5
5 6
55 56
5 5
5 6
55 56
S 4
5 5
5 6
5 7
54 57
No. OF
SAMPLES
1 2
3 1
t 5
8 a
3 (D
2 3
2 (,
1 b
1 S
5 1
4 6
3 6
135
9
i y
2 a
1 3
5 2
4 3
1 0 b
2 6
2 1
2 o
2 a
1 7
1 2
1 1
2 7
5 0
1 1
1 2
2 3
2 3
3 3
2 7
7 3
2 o
2 b
o
1 1
1 7
3
o
1 0
0
6
1 3
,
5
9
2 a
1 4
4 2
3 3
l y
b 2
3 0
1 o
2 o
7 4
3 1
1 7
i b
2 1
1 0
3 y
3
3 4
1 b
2 6
8 1
(MICROGRAMS PER CUBIC METER)
MIN
1 1
5 4
7 2
1 1
3 S
5 1
2 0
4 b
119
5 7
6 6
7 2
5 7
4 7
3 6
3 6
3 3
3 y
6 1
3 3
3 1
4 3
3 7
3 4
4 0
3 7
5 7
7 3
3 7
1 7
1 9
1 7
1 7
1 9
7 3
1 7
2 4
7 7
5 5
8 7
5 5
6 3
2 5
3 5
2 4
1 9
1 y
3 5
4 1
3 5
5 5
3 7
3 7
3 8
7 3
3 8
6 1
118
5 4
5 4
4 2
3 3
3 3
5 5
3 y
3 9
232
7 1
8 0
9 9
7 1
MAX
174
330
454
454
314
201
247
265
319
388
472
214
472
103
9 2
103
326
353
293
353
186
253
191
219
153
208
289
253
389
133
7 8
133
208
389
353
289
8 3
481
240
225
240
7 2
107
107
149
116
149
116
111
116
350
137
250
236
224
336
376
36 B
352
376
217
217
217
Q71
730
971
329
314
343
311
343
AVG
9 4
169
189
169
124
100
113
121
150
126
155
137
140
7 8
5 7
6 4
104
122
137
126
7 4
108
8 7
106
7 0
9 2
153
115
118
5 7
4 3
5 0
7 6
9 6
115
9 7
5 2
188
113
133
136
6 7
6 2
6 3
5 9
5 0
5 5
7 6
7 7
7 6
116
7 7
103
101
125
110
151
218
210
188
9 3
115
101
150
158
154
267
169
176
166
173
FREQUENCY DISTRIBUTION— PERCENT
10
1 1
9 4
9 2
80
5 5
5 2
4 0
4 7
111
7 3
8 3
8 3
8 0
4 7
3 6
3 7
3 4
6 5
7 8
6 6
3 4
4 7
4 5
4 4
4 4
4 0
6 5
8 1
7 3
1 8
2 1
2 0
2 1
3 5
8 1
3 4
3 4
9 4
5 5
8 3
6 5
2 5
2 5
2 3
2 1
2 1
4 7
4 0
7 1
4 0
5 5
5 5
7 6
6 5
7 6
171
130
Q 4
5 5
4 7
5 5
6 5
7 6
6 8
Q 4
105
111
100
20
4 0
110
105
9 9
7 9
6 0
6 7
8 0
117
8 6
9 2
8 9
9 1
6 0
38
4 0
5 5
7 4
8 7
7 9
3 8
6 5
5 0
60
4 7
6 9
8 9
8 6
8 1
2 1
2 5
2 9
4 0
4 0
8 6
4 7
36
110
5 5
8 9
8 3
4 0
4 0
2 3
2 1
2 2
4 0
4 7
4 7
8 5
5 5
6 8
7 1
8 9
7 4
9 7
181
145
123
6 3
6 9
6 7
7 2
b 9
7 8
3 3 6
105
134
123
118
30
7 6
123
133
115
a 9
6 S
7 4
8 5
127
9 4
109
105
102
6 5
4 0
4 7
71
90
107
90
5 0
7 6
5 8
71
5 2
76
114
9 4
87
2 9
3 7
3 4
4 7
4 5
9 4
6 9
4 0
119
6 5
105
97
6 5
4 0
5 5
2 5
2 5
2 5
4 0
76
7 1
91
6 5
7 6
7 9
110
8 7
112
1 B 6
1 0 1
138
7 1
7 6
7 3
7 9
94
8 5
236
119
140
132
132
40
8 9
145
145
134
105
9 2
8 3
97
133
100
123
117
114
7 1
5 1
57
7 6
9 7
116
102
5 5
R 1
6 5
9 4
5 8
7 9
123
102
9 6
3 4
4 0
4 0
5 5'
5 5
103
H 0
4 4
138
6 5
114
110
6 5
5 5
6 0
2 5
3 5
2 9
7 6
7 6
7 6
9 7
6 9
8 9
8 9
1 1 9
100
123
196
171
158
7 7
105
H 0
q 4
105
9 4
236
145
154
139
145
50
9 4
176
171
155
116
100
100
114
136
110
145
1'3 2
128
7 6
5 8
6 2
105
104
139
115
6 5
8 9
8 0
110
6 5
8 1
145
111
107
4 7
4 2
4 4
7 6
7 6
111
b 8
4 9
162
105
134
119
6 5
6 5
6 5
3 7
2 9
3 7
7 6
8 3
8 0
103
7 2
9 6
102
126
110
13?
213
201
177
8 3
127
a 8
9 4
114
105
278
161
171
152
165
60
100
191
188
180
127
105
123
130
141
123
164
145
140
7 6
6 0
6 8
133
117
142
129
76
114
9 4
123
6 8
8 4
171
117
119
5 1
4 5
4 7
8 0
8 9
117
103
5 5
186
114
145
123
6 5
76
7 1
4 0
5 5
4 0
7 6
8 3
8 0
112
7 4
103
111
139
] 1 9
142
236
236
198
8 8
132
100
105
1 2 3
114
278
179
183
171
182
70
105
206
219
199
136
114
134
145
145
137
178
163
160
9 3
6 5
7 6
134
136
154
147
9 4
134
105
136
7 3
8 6
301
127
130
5 5
4 7
5 3
8 5
123
137
117
6 5
236
114
154
145
6 5
b 3
7 6
4 0
5 5
5 5
8 9
b 9
8 5
123
a 9
113
i 2 0
136
128
158
253
253
228
9 7
141
123
123
138
129
278
206
195
183
199
80
134
221
257
323
158
123
179
154
186
155
194
191
183
97
7 6
8 5
145
171
165
165
102
154
119
145
97
105
219
138
143
fl 9
6 5
6 5
8 9
145
138
133
7 3
264
123
162
162
7 6
8 3
8 3
8 9
7 6
8 9
8 9
8 9
8 9
134
105
127
130
142
138
201
261
278
257
114
158
138
171
145
158
278
221
201
201
231
90
1 6
216
261
-------
18
TABLE 1. SUSPENDED PARTICULATE MATTER—URBAN STATIONS
STATION LOCATION
EAST ORANGE N. J
NEWARK N J
NEW YORK N Y
BINGHAMTON N Y
BUFFALO N Y
SCHENECTAOY N Y
SYRACUSE N Y
U T 1 C A N Y
PHILADELPHIA PA
nLTOONA PA
BRISTOL PA
CHESTER PA
ERIE PA
SITE
1
1
1
2
2
2
2
2
3
3
3
3
3
4
4
4
1
1
2
1
1
1
1
1
1
1
1
2
2
2
3
3
3
3
4
4
4
4
5
3
5
6
6
6
7
7
7
1
1
1
1
1
1
1
1
1
1
1
1
YEARS
57
5 7
57
5 3
5 4
5 5
56
53 56
5 3
5 4
5 5
5 6
53 56
5 4
5 5
54 55
5 3
5 4
5 5
56
5 7
53 57
5 7
57
5 7
5 7
5 7
57
5 7
5 3
5 4
5 5
5 6
53 56
5 4
5 5
54 55
5 3
5 4
5 5
53 55
5 5
56
5 7
55 57
5 5
5 6
55 56
5 5
5 6
55 56
5 5
5 6
55 56
5 3
5 4
5 5
56
5 7
53 57
5 5
5 f>
55 56
5 5
5 6
55 56
5 5
5 6
55 5 ''6
5 5
5 6
55 56
No. OF
SAMPLES
2 0
1 8
3 5
3
3 0
4 0
3 2
105
3
3 6
3 B
2 6
103
2
2 4
2 6
6
6 8
102
5 b
2 5
259
2 b
6
1 5
2 1
2 2
2 6
2 4
8
7 5
289
307
679
6
1 9
2 5
6
2 6
1 4
4 6
2 7
2 3 3
8 5
285
2 4
4 1
6 5
1 2
4 2
5 4
6
3 8
4 4
1 4
107
3 9 1
661
2 5
1198
3
2 4
2 7
3 1
1 2
4 3
3 1
1 3
4 4
1
4 9
5 0
M1N
2 6
5 5
9 4
184
145
9 3
120
9 3
8 7
7 9
4 4
7 1
4 4
162
4 4
4 4
8 7
7 9
4 4
7 1
9 4
4 4
5 4
7 0
8 0
7 0
3 a
4 0
4 4
9 2
3 7
56
6 6
3 7
339
1 5d
158
7 1
2 9
9 4
2 9
182
5 1
8 6
5 1
4 4
o 6
4 4
8 4
9 1
8 4
135
7 6
7 6
7 1
2 9
4 4
5 1
a 6
2 9
8 2
6 1
6 1
3 7
5 2
2 7
4 0
3 8
3 8
9 0
2 5
2 5
MAX
366
340
330
642
399
466
346
642
146
350
335
379
379
164
238
238
642
399
466
379
330
642
224
388
607
607
143
347
228
414
760
576
761
761
696
550
696
376
382
238
382
621
1011
323
1011
327
563
563
271
581
.58 1
316
910
910
414
760
621
1011
3 2 3
1011
125
411
411
229
177
229
273
323
323
9 0
550
550
AVG
121
139
197
371
241
236
223
237
110
180
161
192
174
163
136
138
241
205
185
209
197
198
9 4
166
241
220
7 7
119
120
265
202
210
220
214
533
345
390
170
1 2'8
145
138
311
286
203
281
127
1 7 b
159
177
192
189
240
229
230
224
203
215
239
203
227
100
128
125
9 6
107
9 9
134
136
135
9 0
a o
8 0
(MICROGRAMS PER CUBIC METER)
FREQUENCY DISTRIBUTION— PERCENT
10
2 9
6 5
105
171
123
134
136
9 7
8 3
89
8 7
6 8
7 1
8 9
112
8 9
105
105
9 7
5 8
7 1
123
7 6
4 7
4 7
60
105
8 7
117
128
116
385
236
250
7 1
6 7
9 3
69
194
135
134
140
5 5
8 0
7 7
8 9
125
124
145
9 4
9 4
7 1
7 6
107
123
134
108
7 1
7 6
4 7
5 5
5 1
7 6
4 0
6 5
3 6
36
20
3 7
8 9
138
201
194
141
179
173
8 9
112
9 7
100
101
7 6
7 6
8 9
145
105
138
138
127
6 5
7 1
130
105
5 1
6 5
6 9
201
108
144
148
143
385
364
278
7 1
7 1
101
7 5
307
167
145
168
7 8
b y
8 4
134
131
133
145
132
134
8 9
9 4
137
146
145
138
8 9
8 0
7 9
6 5
6 5
6 8
9 4
6 5
9 1
4 2
4 2
30
51
94
155
201
208
171
204
195
89
130
105
145
126
158
105
111
105
159
131
162
155
149
7 2
76
145
130
5 8
80
7 4
201
130
157
167
159
533
286
303
7 6
76
105
92
224
193
165
195
8 3
112
9 4
154
140
141
201
145
149
105
116
156
166
1 b 5
158
•8 9
8 3
8 4
7 3
8 9
7 8
102
7 6
99
4 6
4 6
40
7 6
105
166
201
219
195
211
210
8 9
151
145
154
150
158
123
123
105
174
151
191
166
166
7 6
7 6
158
145
6 5
8 9
100
236
153
170
184'
176
533
303
319
7 6
8 9
117
103
247
218
181
317
8 9
129
110
162
149
154
2'0 1
162
171
213
137
172
186
181
178
8 9
8 9
8 9
8 1
9 7
8 5
123
- 9 7
117
53
5 3
50
123
114
186
337
229
227
219
234
105
162
160
V>7
161
158
134
140
171
198
169
210
186
187
8 9
105
181
171
7 6
105
114
257
174
196
200
197
564
319
385
.8 9
111
123
117
278
243
207
240
9 7
152
129
171
167
168
236
191
201
324
160
200
207
207
202
105
- 1 1 7
117
9 2
105
9 5
136
133
132
105
6 3
6 3
'
60
145
123
SOI
327
343
254
226
238
105
171
176
186
173
158
145
154
301
217
190
222
201
209
9 9
171
191
191
8 5
133
130
278
198
217
217
316
596
327
430
219
127
154
136
303
266
219
264
105
167
149
201
181
183
294
316
219
236
186
323
228
219
223
105
127
127
100
114
103
145
158
145
105
7 0
7 1
70
155
158
227
327
364
278
234
263
105
195
196
250
196
158
165
.162
201
241
219
236
227
232
105
171
278
236
93
134
158
385
226
241
234
236
596
408
493
219
136
171
155
356
301
236
298
130
208
181
210
194
201
294
236
247
•B 7 8
220
252
256
236
251
105
141
138
108
123
112
158
171
161
105
7 7
7 9
80
166
171
278
327
290
334
268
303
105
264
219
278
249
171
181
181
327
273
257
272
278
266
119
236
327
327
102
158
179
385
257
279
271
374
627
453
533
336
158
181
186
430
370
357
361
145
236
224
227
222
220
311
268
288
356
268
290
298
257
293
105
158
158
117
145
121
171
186
176
105
8 5
8 6
90
201
201
315
737
327
363
327
349
1.7 1
298
257
356
299
171
219
201
327
311
337
335
315
330
130
236
580
453
123
186
2 'J 1
419
766
319
325
325
627
506
604
236
201
201
224
480
518
294
499
278
.311
298
236
303
278
311
385
385
419
385
331
401
294
373
145
191
181
145
171
158
194
236
201
105
9 7
9 9
-------
TABLE 1. SUSPENDED PARTICULATE MATTER—URBAN STATIONS
19
STATION LOCATION
PITTSBURGH PA
WILLIAMSPORT PA
ALLENTOWN PA
JOHNSTOWN PA
LANCASTER PA
SCRANTON PA
WASHINGTON DC
LOUISVILLE KY
BALTIMORE MO
CHARLOTTE NC
WINSTON SALEM NC
SAN JUAN PUERTO RICO
NORFOLK VA
RICHMOND VA
CHARLESTON W VA
WHE'ELINC, W VA
BIRMINGHAM ALA
TAMPA FLA
SITE
1
3
1
1
1
1
1
1
1
1
1
1
3
3
3
3
3
3
1
1
1
1
1
2
3
2
2
3
4
1
1
1
1
1
1
1
1
1
1
1
3
3
3
3
3
1
1
1
1
1
1
1
1
1
1
YEARS
56
5 7
56 57
5 5
56
55 56
57
57
5 7
57
53
5 4
53 54
5 5
5 6
55 56
56
5 7
56 57
5 3
54
5 5
56
57
53 57
5 4
5 5
56
5 7
54 57
54
5 5
56
54 56
54
5 7
5 4
5 5
5 6
5 7
54 57
56
5 7
56 57
57
57
5 7
57
57
5 3
54
53 54
5 4
5 5
5 6
5 7
54 57
5 3
54
55
5 6
5 7
53 57
5 6
5 7
56 57
57
5 3
5 4
5 5
5 6
5 7
53 57
No. OF
SAMPLES
7 1
2 3
9 4
6
4 0
4 6
3 0
1 1
1 1
2 6
1 0
3 4
4 4
4 7
2 3
7 0
1 4
3 6
4 0
1 0
3 4
4 7
3 7
3 6
154
23
3 9
3 2
1
7 4
1 3
1 6
5
3 4
5
1 6
4 0
4 5
2 7
1 7
129
2 8
2 6
5 4
3 5
3 6
3 1
2 5
2 6
6
3 0
3 6
9
3 2
3 3
3 3
8 7
6
3 9
3 3
3 3
3 3
123
1 1
2 5
3 6
2 5
5
4 4
4 4
3 8
2 6
157
(MICROGRAMS PER CUBIC METER)
MIN
4 3
7 8
4 3
8 5
7 4
7 4
4 1
3 3
6 5
6 2
9 3
6 6
6 6
7 0
8 4
7 0
6 7
4 1
4 1
9 3
6 6
7 0
6 7
4 1
4 1
7 2
a 2
8 1
130
7 2
6 5
5 9
4 8
4 8
7 8
115
6 5
5 9
4 8
115
4 8
104
7 7
7 7
4 5
2 8
4 5
6 0
5 0
101
6 3
6 3
58
6 7
6 0
4 4
4 4
101
58
6 7
6 0
4 4
4 4
96
137
9 6
50
6 9
3 5
3 3
3 1
3 4
3 1
MAX
311
534
534
268
515
515
214
268
199
466
276
186
276
263
459
459
198
258
358
376
186
263
459
258
459
384
353
219
130
384
260
234
159
360
124
358
384
353
219
358
384
729
301
729
323
228
132
168
232
764
561
764
577
793
696
655
793
764
577
793
696
655
793
419
344
419
285
377
153
172
171
168
377
AVG
134
303
150
178
213
209
111
165
113
176
163
119
129
161
192
171
104
9 4
9 7
162
119
161
159
9 4
140
192
193
129
130
173
138
150
114
140
103
309
163
177
1 3.6
205
166
247
150
200
125
9 7
7 3
111
101
396
374
377
338
293
355
207
354
396
265
292
255
207
361
ISO
201
195
129
151
7 8
101
9 2
7 9
9 1
FREQUENCY DISTRIBUTION— PERCENT
10
68
8 5
7 3
8 9
133
123
5 5
34
6 5
7 6
105
8 3
89
114
123
117
6 9
5 5
58
105-
8 3
114
89
5 5
7 6
105
111
9 3
9 8
6 5
6 5
5 5
62
89
145
89
105
93
134
9 4
123
97
100
6 5
57
4 9
8 3
6 0
105
8 3
8 9
6 5
7 3
7 6
5 8
7 1
105
7 9
7 3
7 6
58
7 3
9 4
148
123
6 5
7 6
4 4
6 7
5 8
5 5
5 2
20
8 3
100
8 9
89
152
148
7 1
97
7 6
8 9
114
9 6
9 9
129
136
131
7 6
6 2
6 9
114
9 6
129
9 6
6 3
9 5
123
130
9 9
114
9 4
105
5 5
9 7
8 9
154
100
119
9 9
145
109
145
105
117
7 6
6 1
5 2
8 9
67
105
111
108
8 3
8 9
101
7 6
8 5
105
105
8 9
101
7 6
9 3
100
154
140
8 1
7 6
5 2
7 6
6 7
6 3
6 3
30
95
134
99
145
165
162
8 3
105
8 3
101
123
103
107
138
145
140
91
7 6
79
123
103
138
105
76
106
145
149
109
127
100
123
114
109
9 7
171
114
141
108
162
123
162
116
130
9 4
7 1
5 5
101
7 4
111
152
120
89
134
123
8 5
105
111
133
134
123
8 5
113
105
162
152
89
8 9
56
8 3
70
6 8
7 0
40
104
158
111
145
179
175
105
130
8 9
114
130
111
115
147
158
ISO
9 6
8 1
8 9
130
111
147
127
8 1
120
171
163
116
141
105
134
114
123
9 7
181
139
154
115
181
137
183
123
145
105
8 0
6 3
107
8 9
I'l 1
171
158
123
171
154
97
136
111
165
171
154
9 7
142
123
168
159
100
8 9
6 4
9 1
7 4
7 1
7 6
SO
121
181
129
171
194
194
111
145
105
]»3 4
138
117
131
159
177
163
98
8 9
9 4
138
117
159
141
8 9
131
180
177
133
145
156
130
154
123
134
105
201
142
168
123
201
153
20 1
134
167
123
9 2
6 9
112
96
117
336
334
145
294
201
133
191
117
236
394
301
123
310
145
191
169
117
105
7 2
9 6
8 5
7 6
8 6
60
134
191
143
219
315
216
117
319
130
186
145
123
139
169
189
175
100
9 9
100
145
123
169
158
99
142
188
189
133
145
171
138
171
123
145
105
234
174
182
130
313
170
227
145
188
130
100
7 4
116
103
123
315
315
145
337
303
186
296
123
303
337
303
186
303
158
307
201
145
105
8 5
101
101
8 3
9 4
70
150
201
1;7 6
219
247
236
133
336
138
219
171
134
139
181
201
187
105
105
105
171
134
181
181
105
159
197
213
141
145
189
145
181
145
171
133
336
188
201
141
236
188
290
162
223
141
105
7 9
131
111
123
385
385
^03
366
346
278
350
123
356
366
346
278
356
171
324
216
161
145
9 6
111
113
8 7
102
80
184
257
196
236
385
278
145
350
145
364
236
142
150
194
224
199
114
119
117
236
142
194
201
119
180
278
250
158
145
215
186
201
145
189
133
264
201
234
155
364
213
315
201
368
154
133
8 6
130
130
637
453
480
327
430
385
385
414
627
453
430
385
385
426
236
236
336
171
145
103
123
120
97
115
90
223
419
253
236
313
306
171
264
171
303
257
165
186
210
303
231
145
130
134
357
165
310
236
130
210
311
303
171
145
268
236
313
171
219
145
278
278
278
166
278
263
4^0
250
327
201
145
105
154
145
627
533
557
533
5 a 0
493
493
5 U 6
637
533
580
493
493
533
385
303
303
201
3 rt 5
123
153
136
105
137
-------
20
TABLE 1. SUSPENDED PARTICULATE MATTER—URBAN STATIONS
STATION LOCATION
MIAMI FLA
ATLANTA GA
COLUMBUS GA
JACKSON MISS
COLUMBIA SC
GREENVILLE SC
CHATTANOOGA TENN
KNOXVILLE TENN
NASHVILLE TENN
CHICAGO ILL
EAST ST LOUIS ILL
SPRINGFIELD ILL
SITE
1
1
1
1
1
1
1
2
1
1
1
1
1
1
1
2
2
2
3
3
3
3
4
4
4
4
1
1
1
1
1
1
2
2
2
2
3
4
4
4
4
5
1
1
1
2
2
2
1
YEARS
57
53
54
5 5
5 6
57
53 57
5 4
5 3
54
5 5
5 6
5 7
53 57
57
5 7
57
57
54
5 5
54 55
5 4
5 5
54 55
5 5
5 6
57
55 57
5 5
5 6
5 7
55 57
5 4
5 5
5 6
57
54 57
5 7
5 7
5 4
55
5 6
54 56
5 4
5 5
5 6
54 56
5 4
5 4
5 5
5 6
54 56
57
54
5 5
56
5 7
54 57
5 5
5 6
55 56
5 5
5 6
55 56
5 5
5 6
55 56
5 7
No. OF
SAMPLES
2 5
S
4 2
7 5
3 4
2 6
179
8
2
5 0
7 5
3 4
2 6
187
2 7
2 4
2 4
2 9
1 0
1 0
2 0
3 2
1 0
4 2
3 0
2 4
1 3
6 7
3 5
2 4
1 b
7 7
4 2
8 5
4 8
3 1
206
2 6
2 6
3 1
6 1
1 1
103
3 3
4 9
1 4
9 6
3 8
7
9 4
9
110
8
1 0'9
204
3 4
b
355
1 9
3 1
5 0
1 8
3 3
5 1
3 7
6 4
101
2 0
MIN
3 1
98
5 5
6 5
6 2
5 0
5 0
3 1
9 8
3 1
6 5
6 2
5 0
3 1
3 7
1 5
5 5
4 6
5 2
115
5 2
2 5
3 5
2 5
3 3
7 1
6 4
3 3
9 1
9 2
120
9 1
2 5
3 3
7 1
6 4
2 5
6 b
7 1
4 4
3 1
146
3 1
104
106
200
104
1 5
3 0
1 4
3 5
1 4
109
1 5
1 4
3 5
109
1 4
8 0
167
8 0
3 2
6 8
3 2
3 2
6 8
3 2
4 2
MAX
106
126
261
421
319
228
421
101
126
261
421
319
228
421
209
198
209
285
283
350
350
336
214
336
237
264
565
565
535
644
385
644
336
535
644
565
644
245
317
678
594
626
678
865
641
508
865
317
263
539
512
539
418
865
641
626
418
865
357
608
608
280
311
311
357
608
608
210
(MICROGRAMS PER CUBIC METER)
AVG
6 3
112
141
142
153
105
138
5 9
112
128
142
153
105
135
102
7 6
111
107
180
227
203
107
8 9
102
118
151
175
141
230
255
219
235
124
174
203
200
174
136
135
250
241
321
252
322
312
323
317
119
204
183
200
186
194
223
231
290
194
234
226
291
266
129
147
141
179
217
203
9 4
FREQUENCY DISTRIBUTION— PERCENT
10
4 4
89
9 2
7 9
6 5
8 3
3 2
5 5
9 2
7 9
6 5
7 8
5 5
21
6 5
58
5 5
114
8 9
32
4 0
3 3
58
8 0
6 5
66
129
145
145
134
3 3
6 6
97
8 3
6 5
8 0
8 3
9 4
9 4
158
9 S
145
171
201
175
4 9
34
6 7
4 0
6 2
114
6 2
8 9
4 7
114
7 8
145
191
175
7 6
7 6
76
B 3
9 5
8 9
4 7
20
4 9
100
9 8
8 9
8 0
9 4
3 4
8 9
9 8
8 9
80
9 1
6 5
4 9
8 4
6 5
8 9
123
117
4 0
47
4 2
67
105
8 3
7 5
145
181
158
154
4 7
8 3
127
100
87
8 9
9 2
111
129
171
130
194
236
236
211
58
3 4
9 9
4 4
9 4
123
9 3
129
186
123
116
177
210
194
8 5
9 9
9 1
9 4
115
110
6 2
30
53
105
114
105
108
8 5
103
3 4
105
9 9
105
108
85
100
72
5 3
8 9
7 6
123
145
134
55
6 5
6 0
7 2
117
89
91
166
201
165
173
6 9
110
145
145
112
108
9 9
134
156
201
159
224
252
250
246
71
186
129
4 7
129
123
127
155
219
123
152
189
223
209
8 9
1 0 b
101
129
149
138
7 1
4O
56
105
125
119
lib
8 9
114
4 0
105
111
119
118
8 9
110
8 9
6 0
9 5
8 6
145
171
171
72
7 1
7 2
9 3
134
9 4
105
181
222
179
192
9 4
129
164
158
135
114
111
171
186
257
190
250
268
278
263
8 4
201
150
105
153
145
162
185
250
145
1 fl 1
201
236
223
100
115
112
154
175
166
7 9
50
6 0
105
135
132
130
97
126
5 5
105
125
132
130
9 7
1133
101
6 5
99
9 4
201
236
219
100
76
8 9
105
145
105
123
201
236
194
214
117
156
186
179
159
123
127
219
226
303
232
278
289
294
286
9 7
236
173
219
179
158
191
219
271
158
215
215
264
236
123
134
127
179
201
189
8 6
60
6 3
105
145
143
150
105
140
6 5
105
138
143
150
105
137
110
76
103
100
236
257
244
123
8 3
105
119
155
158
145
227
253
219
236
134
182
213
201
183
140
141
257
270
327
270
344
311
311
323
134
236
194
219
201
171
224
251
298
171
249
222
288
271
138
154
148
190
222
210
9 4
70
7 1
105
160
160
171
112
156
7 6
105
152
160
171
112
154
123
8 6
132
123
250
278
261
136
8 9
130
145
171
171
168
286
278
278
278
154
210
241
236
210
152
155
294
303
419
304
368
346
356
358
158
250
228
236
233
236
260
282
356
236
279
236
317
303
158
167
165
208
254
234
105
80
7 9
145
183
179
213
123
175
7 6
145
171
179
213
123
173
136
105
141
145
264
327
278
162
105
154
183
191
236
194
311
303
294
308
194
253
262
290
252
171
166
346
342
453
352
408
402
385
411
171
264
261
278
262
236
327
318
419
236
326
311
366
337
171
186
184
236
292
287
123
90
b 9
145
213
211
278
154
214
Q 7
145
2 U 1
211
278
154
211
145
145
171
171
278
356
3^7
191
145
191
201
250
327
236
4 U 8
3 b 5
337
356
250
320
3 U 3
327
306
219
1 V 1
564
419
533
445
S b 4
4 d 5
493
443
2 1 3
2 o 4
309
453
309
278
408
399
493
278
419
346
410
3 d 5
191
236
219
315
366
337
145
-------
TABLE 1. SUSPENDED PARTICIPATE MATTER—URBAN STATIONS
21
STATION LOCATION
EAST CHICAGO 1 IM D
E V A IM S V 1 L L t I 11 D
FORT WAYNE INO
INDIA n APOLIS Ml D
DETROIT MICH
GRAND RAPIDS MICH
K A L A iVI A Z 0 0 '! 1 C H
LANSING MICH
FLINT MICH
C 1 N C 1 li 11 A T 1 OHIO
v o u N G s T o H iv OHIO
CANTON OHIO
CLEVELAND OHIO
COLUMBUS OHIO
TOLEDO OHIO
LORAIN OHIO
MILWAUKEE IV 1 3
RACINE IV 1 S
SITE
1
1
1
1
2
2
2
2
3
3
3
3
4
4
4
4
1
1
1
1
1
1
3
3
4
1
1
1
1
1
1
1
1
1
1
2
2
2
2
3
3
3
3
4
4
«
1
1
1
1
1
1
1
1
1
I
YEARS
5 5
5 6
57
55 57
5 5
5 6
5 7
55 57
5 5
5 6
5 7
55 57
5 5
5 6
5 7
55 57
5 5
56
5 7
55 57
5 7
5 7
5 7
S 3
5 4
53 54
5 6
56
5 7
5 3
5 4
56
5 7
53 57
5 7
57
5 7
5 7
5 3
5 4
5 S
56
57
53 57
5 3
5 4
5 5
53 55
5 3
5 4
5 5
53 55
5 4
5 5
54 55
5 3
5 4
5 5
5 6
57
53 57
5 6
5 7
56 57
57
57
5 7
57
57
5 7
57
No. OF
SAMPLES
2 0
1 5
S 0
5 5
2 2
1 5
2 2
5 9
2 0
1 y
1 b
5 7
1 b
1 9
2 0
5 7
8 0
6 B
8 0
2 2 ti
2 5
2 b
2 6
3 3
i y
b 3
3 0
3 3
2 3
3 3
1 9
6 3
2 3
1 3 b
1 b
2 5
2 6
2 6
1 d
8 y
4 6
4 4
2 6
223
4
5 y
5
6 b
3
7 0
1 2
b 5
4 2
10
5 2
2 5
260
7 3
4 4
2 6
4 2 b
2 0
2 o
4 o
2 0
2 (j
2 y
2 o
2 6
2 5
2 3
(MICROGRAMS PER CUBIC METER)
MIN
121
140
6 6
6 6
6 9
122
7 1
6 y
9 1
7 9
6 3
6 3
7 6
9 7
5 5
5 5
6 9
7 9
5 S
5 5
1 3
7 0
8 7
137
173
137
b y
2 3
4 b
137
173
2 3
4 b
2 3
8 6
3 7
3 4
7 0
109
5 2
106
7 1
7 g
5 2
3 2
3 y
9 4
3 2
8 0
3 2
2 6
2 6
1 7
5 2
1 7
3 2
1 7
2 6
7 1
7 2
1 7
8 b
6 3
6 3
7 0
b 7
7 7
4 b
5 5
6 4
56
MAX
852
720
978
978
677
564
545
677
350
405
442
442
410
395
345
410
852
720
978
978
170
304
260
716
743
743
344
257
303
716
743
344
303
743
355
181
153
235
444
656
430
507
237
656
3 2 B
534
196
534
349
364
175
364
570
296
570
444
656
430
507
337
656
651
406
651
304
314
310
311
398
367
273
AVG
334
354
306
329
282
269
224
257
197
263
216
225
203
209
187
199
356
269
233
252
9 7
138
149
344
334
340
169
106
148
344
334
136
148
215
154
8 3
9 1
134
217
155
193
190
134
172,
149
120
151
124
139
9 7
101
9 9
176
134
168
196
135
167
190
134
149
233
180
203
182
1 H 5
186
124
156
162
143
FREQUENCY DISTRIBUTION— PERCENT
10
154
201
133
145
145
134
105
130
100
9 7
133
102
8 9
100
6 5
9 3
114
111
105
110
6 5
8 0
109
154
186
171
110
4 0
B 9
154
186
5 0
8 9
7 6
8 5
4 4
5 2
8 5
117
B 9
120
100
8 5
9 8
60
105
6 0
5 5
2 9
5 2
7 6
5 5
7 1
8 9
6 2
8 3
100
8 5
6 9
105
7 6
8 9
110
111
123
6 5
7 2
8 9
6 2
20
171
247
145
201
155
145
152
154
129
179
145
134
117
114
105
111
145
145
141
144
6 9
9 4
116
186
301
190
123
5 2
105
186
301
7 6
105
107
9 3
4 7
6 0
9 7
129
108
131
125
9 4
115
3 4
7 3
105
7 4
8 3
6 1
5 1
6 1
9 6
7 6
P 1
114
7 7
105
135
9 4
8 6
112
9 4
1 05
119
123
136
7 1
b 3
105
8 9
30
213
368
236
240
171
171
171
169
140
194
158
171
133
134
145
134
168
175
171
171
7 6
105
136
219
264
347
136
5 8
113
219
264
9 8
112
127
97
5 5
7 2
110
134
119
145
135
110
127
3 4
8 0
123
f< 1
8 3
6 9
7 6
7 1
111
8 3
101
1 .2 7
y u
123
135
110
102
119
133
120
134
145
152
8 0
109
116
111
4O
236
278
250
259
347
301
186
301
171
336
179
189
179
154
177
171
301
308
189
197
8 9
116
132
290
288
289
148
7 6
119
390
288
113
119
152
105
6 3
7 9
115
145
130
155
154
119
140
123
B 7
133
8 9
8 3
7 7
93
7 9
134
8 9
123
136
103
142
154
119
117
134
132
133
145
158
171
8 9
116
133
133
SO
327
385
264
288
268
236
201
236
301
294
194
310
194
171
189
189
239
357
311
227
9 7
136
143
343
307
316
155
9 7
138
342
307
134
138
170
117
7 6
8 6
133
171
144
1 6 B
179
134
153
133
102
171
107
b 9
8 6
97
b 9
154
9 7
149
158
117
157
17Q
134
133
181
145
171
171
177
186
105
137
140
140
60
350
403
378
335
294
278
224
266
319
311
213
232
219
201
201
306
359
303
236
260
102
136
155
385
317
356
163
105
154
385
317
151
154
306
145
8 9
105
136
301
156
195
194
148
1 6 B
133
115
171
121
8 9
9 6
101
9 7
171
105
167
186
134
169
194
148
150
301
191
196
308
195
196
134
141
154
154
70
373
436
311
385
327
327
257
300
236
342
236
271
257
236
224
236
299
349
267
299
123
145
166
453
356
408
171
133
171
453
356
163
171
2 4 B
171
9 9
110
145
336
169
219
216
155
187
145
132
186
140
8 9
105
105
107
301
171
195
236
153
191
216
155
168
303
213
336
322
213
315
150
158
186
171
80
453
453
385
442
385
385
303
339
257
371
278
327
278
327
357
293
350
392
300
346
130
181
183
487
408
476
215
158
301
487
408
301
201
314
219
105
118
171
327
187
250
336
165
315
145
154
186
160
8 9
131
162
127
230
201
226
337
175
221
236
165
195
385
257
303
250
250
336
166
336
219
186
90
637
533
403
533
453
533
327
430
278
408
327
375
311
3 o 5
303
327
419
439
3 b 6
421
141
219
1 y 5
533
453
533
336
319
236
s :-. 3
453
2 P 8
336
430
378
1 b 8
133
1 y 1
3 o 6
324
3 i 8
2 '-> A
171
3 1 0
3 ,i 5
191
201
195
3 7 8
152
171
1 n 4
327
236
311
3 j 5
2 2 0
2 / 1
2 ^ 4
171
3 5 1
430
303
3o 5
27 8
2 'f B
2 o 1
2 0 1
303
378
2^0
-------
22
TABLE 1. SUSPENDED PARTICULATE MATTER—URBAN STATIONS
STATION LOCATION
DES M 0 1 N E S IOWA
KANSAS CITY KANSAS
WICHITA- KANSAS
MINNEAPOLIS MINN
DULUTH MINN
i\ A N S A S CITY MO
ST LOUIS MO
BRENTWOOD MO
BRECKENRIOGE MO
OMAHA NEB
LINCOLN NEB
BISMARCK NO
SIOUX FALLS SO
LITTLE ROCK ARK
NEW ORLEANS LA
SITE
1
1
1
1
2
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
3
3
3
4
4
4
1
1
1
1
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
3
3
3
3
YEARS
5 7
5 5
5 7
55 57
5 '£
5 5
5 6
S 7
55 57
5 7
5 3
5 4
5 5
5 '"
5 ?
53 57
5 7
5 3
5 4
53 54
5 4
5 5
5 ^
5 7
.54 57
5 3
5 4
53 54
5 5-
5 6
55 56
5 3
54
5 5
5 6
5 7
53 57
5 5
56
5 7
55 57
5 5
5 «
55 56
5 5
5 ^
5 7
53 57
5 5
5 ^
55 56
5 5
56
55 56
5 7
5 7
5 7
5 7
5 7
5 4
5 5
54 55
54
5 5
56
54 56
5 5
5 6
5 7
55 57
5 4
5 5
5 -.
5 V
5 . 57
No. OF
SAMPLES
2 6
2 4
8
3 2
2 5
2 4
2 5
8
5 7
2 6
9
4 8
9 5
4 6
2 7
225
2 5
6
3
9
1 7
3 1
3 3
2 6
107
4
1 9
2 3
3 3
1 6
4 9
1 0
3 9
6 4
4 9
2 6
188
2 7
4 3
2 5
9 5
2 5
4 2
6 7
5 2
8 5
2 5
162
1 5
1 7
3 2
1 1
1 5
2 6
2 6
2 6
2 4
2 6
2 6
2 6
1 9
4 5
2 9
4 4
2 0
9 3
3 1
2 1
2 6
7 8
5 5
9 4
4 1
2 6
216
MIN
7 7
100
9 3
9 3
3 0
100
3 0
9 3
3 0
4 1
7 7
4 5
4 1
4 6
4 2
4 1
2 5
2 7
4 8
2 7
57
4 4
107
7 0
4 4
4 8
5 2
4 8
1 2
4 2
1 2
2 7
4 8
1 2
4 2
7 0
1 2
105
118
9 5
9 5
9 9
111
9 9
9 9
111
9 5
9 5
4 6
6 2
4 6
5 0
7 0
5 0
7 7
6 5
5 1
5 1
3 4
4 4
3 8
3 8
1 6
2 6
3 4
1 6
4 9
6 2
5 2
4 9
1 6
2 6
3 4
5 2
1 6
MAX
458
470
299
470
463
470
463
299
470
332
282
272
292
223
722
722
401
6 1
90
9 0
237
528
541
436
541
7 9
188
188
374
490
490
7 9
237
528
541
436
541
352
800
332
800
375
430
430
375
800
332
800
203
157
203
265
398
398
194
248
220
169
170
775
159
775
155
115
9 6
155
167
249
239
249
775
167
249
239
775
(MICROGRAMS PER CUBIC METER)
AVG
176
222
157
206
115
222
115
157
166
103
160
110
124
107
147
122
126
4 9
7 2
5 6
145
217
258
173
208
6 6
9 9
9 4
110
151
123
5 5
117
162
223
173
164
200
250
182
218
192
224
212
196
237
1 B 2
215
115
9 6
105
135
205
175
122
133
109
8 7
8 3
107
9 1
100
5 7
6 ?.
5 8
5 9
9 7
128
108
109
8 0
7 9
9 4
108
8 6
FREQUENCY DISTRIBUTION— PERCENT
10
9 4
130
105
123
5 1
130
5 1
105
6 0
8 5
8 3
5 8
6 8
6 3
5 5
6 3
5 5
2 9
2 9
9 4
111
123
105
180
6 5
5 5
4 1
6 0
4 4
29
6 5
4 5
7 2
105
5 4
123
145
114
129
114
127
123
111
137
114
124
6 5
6 9
6 5
5 1
ill
7 1
8 9
7 6
5 5
5 3
4 2
5 1
6 0
5 5
2 7
3 6
4 2
3 3
6 5
6 5
6 2
6 3
3 2
4 2
4 5
6 2
4 1
20
105
176
123
134
5 8
176
5 8
123
8 0
6 3
8 9
7 2
8 3
7 1
7 6
7 7
7 1
2 9
5 5
4 9
100
127
165
127
125
5 5
6 9
6 7
4 7
6 5
5 2
4 9
7 4
6 8
110
127
7 4
154
178
129
154
129
145
138
136
161
129
145
7 1
7 2
7 2
5 5
117
8.9
9 4
8 9
6 9
5 8
4 7
5 7
6 8
6 1
32
4 4
4 5
3 9
7 6
7 6
7 6
7 7
3 9
5 3
5 1
7 6
5 1
30
123
186
123
171
6 5
186
6 5
123
9 7
7 2
114
8 3
96
90
8 9
91
8 1
4 9
5 5
5 0
110
141
186
138
145
5 5
7 4
7 2
5 5
7 2
6 7
50
91
8 9
150
138
9 7
174
191
145
176
145
171
160
166
183
145
172
97
79
81
76
145
117
100
101
7 4
69
6 0
6 3
7 3
69
3 6
4 9
4 8
4 5
8 1
8 9
8 4
8 3
4 7
6 0
57
8 4
59
40
150
201
130
184
7 6
201
7 6
130
126
8 0
123
9 4
105
9 6
9 9
100
8 6
4 9
5 5
5 2
119
162
207
145
165
6 5
8 9
76
7 1
7 6
7 4
5 2
9 8
119
176
145
119
184
207
162
187
171
191
184
1 8 1
199
162
186
105
8 4
8 9
8 9
181
130
105
111
9 4
7 6
63
7 1
7 9
7 6
4 0
5 5
5 1
5 0
8 6
105
8 9
9 0
5 6
6 9
6 5
8 9
6 7
50
166
213
138
197
8 9
213
8 9
138
145
9 4
145
107
115
102
114
110
114
5 1
8 9
5 3
152
207
230
171
185
6 5
9 5
8 9
8 5
9 7
8 9
5 3
105
141
201
171
145
194
236
181
300
301
308
205
194
219
181
301
114
8 9
99
134
201
171
114
127
105
8 2
7 6
8 0
8 4
8 2
4 7
5 9
5 4
5 6
9 3
130
97
98
6 5
7 8
7 6
97
7 7
60
181
224
145
213
9 4
224
9 4
145
180
109
145
117
125
111
129
120
127
5 3
8 9
5 3
158
224
264
182
203
6 5
9 9
9 5
105
123
105
5 5
119
164
224
182
169
201
251
191
220
211
222
217
207
236
191
219
119
9 4
108
145
219
194
123
138
117
8 7
86
8 7
8 6
8 7
5 5
6 3
5 8
6 2
e 9
145
105
107
7 4
8 3
8 9
105
8 5
70
191
250
171
230
102
250
102
171
207
116
186
129
140
119
145
135
141
5 3
8 9
5 5
171
247
327
190
229
8 3
105
102
145
171
150
6 0
145
201
278
190
193
222
267
210
243
226
236
232
221
265
210
236
134
105
115
171
250
219
134
145
132
9 4
9 7
9 2
105
9 6
6 8
7 6
6 5
6 9
105
158
114
120
8 A
8 9
114
114
9 4
80
210
278
171
278
145
278
145
171
247
130
201
140
158
136
181
153
158
5 5
8 9
6 5
191
278
371
201
270
8 3
138
130
165
201
177
6 5
162
231
342
201
237
250
286
227
266
236
303
271
242
294
327
267
145
117
130
201
264
253
154
181
141
111
123
100
117
105
76
8 2
72
7 9
116
171
134
139
9 4
101
145
134
107
90
227
315
201
307
278
315
278
201
298
145
278
161
191
162
201
188
219
5 5
105
8 9
201
327
426
336
371
8 9
158
158
301
303
236
8 3
186
303
412
236
309
278
337
2 b 4
309
368
346
319
272
346
264
313
201
123
158
257
327
270
171
201
171
123
134
105
145
145
105
8 9
8 3
8 9
134
201
171
167
111
119
171
171
137
-------
TABLE 1. SUSPENDED PARTICULATE MATTER—URBAN STATIONS
23
STATION LOCATION
BATON ROUGE LA
ALBUQUER8UE NM
TULSA OKLA
FT WORTH TEXAS
LAKEWORT.H TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
DALLAS TEXAS
SAN ANTONIO TEXAS
EL PASO TEXAS
CORPUS CHRISTI TEXAS
DENVER COL
-- ", r~t
/ D /
BOISE IDAHO
HELENA MONTANA
SALT LAKE CITY UTAH
CHEYENNE WYO
ANCHORAGE ALASKA
PHOENIX ARIZ
LOS ANGELES CALIF
SAN FRANCISCO CALIF
SITE
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
1
1
1
1
1
1
g
2
2
1
1
2
3
1
1
1
2
YEARS
57
5 7
5 7
53
54
5 5
5 6
53 56
5 3
5 4
5 5
53 55
5 3
5 4
55
5 6
53 56
5 7
53 57
5 3
54
5 5
56
5.3 5 6
57
57
5 7
5 7
5 4
5 5
56
57
54 57
57
57
5 3
54
5 5
56
57
53 57
5 7
53
54
55
57
53 57
5 5
57
55 57
53
54
55
57
53 57
57
54
5 4
5 7
54
57
54 57
5 5
56
55 56
5 7
55 57
No. OF
SAMPLES
2 4
2 2
2 0
3
4 0
5 8
4 6
147
1
32
3 5
6 8
1 1
5 6
6 1
3 6
164
2 6
190
2
2 2
3 4
7
6 5
2 5
2 6
2 8
2 6
2 6
52
4 0
2 5
143
3 4
2 5
2
2 9
4 5
2 9
2 4
129
2 7
1 0
4 8
3 4
2 3
115
^
7
1 2
1 0
4 8
39
3 0
127
26
1 7
3
2 4
2 0
2 4
4 4
1 8
3 1
4 9
3 1
8 0
(MICROGRAMS PER CUBIC METER)
MIN
7 0
114
2 2
7 9
3 5
7 1
5 5
3 5
9 8
1 0
3 2
1 0
38
5 3
56
4 5
3 8
1 4
1 4
7 4
36
56
6 7
3 6
1 8
2 8
8 2
3 5
52
3 7
3 7
1 5
1 5
4 8
1 7
9 9
54
7 4
8 0
6 8
5 4
2 2
5 4
3 8
2 2
4 0
2 2
106
4 5
4 5
5 4
3 8
2 2
4 0
2 3
119
157
109
8 9
109
8 9
8 9
3 0
1 1
1 1
4 2
1 1
MAX
316
375
268
154
2928
559
1292
2928
9 8
513
608
608
301
399
292
635
635
352
635
241
246
341
508
508
243
630
613
173
215
382
593
264
593
3O7
466
207
1070
425
395
267
1070
130
1591
3112
703
338
3112
1 R 4
_L O *4
306
306
1591
3112
703
338
3112
488
372
162
361
372
361
372
143
177
177
211
211
AVG
170
301
8 7
117
183
133
155
153
9 8
136
145
140
168
133
138
126
136
135
136
157
136
146
195
148
119
135
315
6 8
119
158
181
134
153
118
109
153
196
195
163
132
176
5 6
358
345
337
182
282
151
147
358
345
224
175
269
246
284
134
218
262
218
238
7 3
6 6
6 9
7 9
7 3
FREQUENCY DISTRIBUTION— PERCENT
10
7 6
123
40
55
7 3
7 1
7 1
4 7
4 7
4 7
4 0
66
7 7
6 5
68
60
67
8 3
8 3
7 1
7 9
4 4
6 0
105
4 2
6 5
7 6
8 9
8 3
7 6
68
35
69
117
9 5
80
87
29
5 5
63
4 4
4 0
57
4 7
4 7
5 5
6 3
4 7
4 7
57
134
201
9 7
145
97
114
32
21
29
4 4
3 3
10
114
145
4 9
89
7 6
8 5
7 6
7 9
6 0
6 2
63
7 6
7 2
8 6
7 6
8 0
8 9
8 0
97
101
7 1
9 4
7 1
6 8
119
4 7
8 3
9 1
114
9 4
9 4
7 9
34
83
134
105
9 4
101
32
123
105
7 1
6 2
76
4 7
6 5
133
105
7 6
60
7 6
150
213
123
134
171
134
152
4 0
3 4
37
4 8
4 4
30
130
161
5 3
89
86
9 4
8 9
90
8 3
8 5
81
105
8 4
96
89
91
110
93
76
110
110
76
107
93
76
134
55
95
101
127
109
107
89
4 0
105
9 4
151
114
1 OS
115
47
130
145
8 9
76
117
-1 Q -7
-L >c j
6 5
114
130
145
97
76
113
166
236
123
158
313
158
179
4 7
4 5
47
5 2
5 0
40
149
171
55
8 9
95
105
100
101
97
110
100
145
9 5
107
99
103
119
105
7 6
115
119
8 9
115
101
97
158
58
102
116
145
116
119
102
6 2
105
102
163
123
119
130
5 1
138
176
105
154
152
IP T
C, J
105
123
138
176
117
145
145
301
264
123
191
236
191
215
5 5
5 1
54
58
55
50
156
183
73
123
103
114
112
113
105
110
126
116
181
108
118
110
114
132
116
7 6
ISO
129
105
123
114
114
181
6 3
114
140
166
127
135
110
85
105
117
176
136
127
146
5 5
145
201
145
213
194
IA c:
T- O
145
134
145
201
145
165
183
227
290
145
319
364
219
243
65
65
6 5
6 9
6 5
60
164
195
8 3
123
126
123
133
133
105
133
136
133
191
123
130
119
126
145
130
76
145
145
105
147
123
130
219
6 9
126
157
186
136
151
118
105
105
134
187
145
136
163
5 8
301
261
257
236
247
145
145
145
201
261
191
224
236
257
303
145
250
290
250
271
80
7 3
7 4
79
76
70
186
213
97
123
139
138
ISO
140
105
150
152
151
201
141
145
130
147
158
150
7 6
155
163
171
162
152
145
278
7 4
132
171
207
154
173
132
129
105
181
201
165
150
183
6 3
236
366
337
264
306
186
171
171
236
366
294
264
289
278
337
145
288
315
388
300
8 9
8 1
8 3
8 9
8 5
80
236
257
123
123
154
155
186
162
105
171
171
168
236
301
186
155
184
179
183
278
171
179
385
183
165
171
298
8 3
142
237
230
171
206
145
140
236
303
278
201
161
215
7 1
278
436
385
294
379
186
303
201
278
436
366
298
366
327
350
145
307
339
307
322
97
89
93
105
9 8
90
303
327
145
171
171
189
236
201
105
236
278
236
278
236
250
171
336
194
333
278
219
257
3 0 5
257
201
201
327
b 9
186
303
294
219
257
191
236
236
419
327
327
186
321
7 6
737
627
655
346
637
301
303
303
737
637
533
327
513
419
362
171
346
363
346
356
130
114
123
145
127
-------
24
TABLE 1. SUSPENDED PARTICULATE MATTER—URBAN STATIONS
STATION LOCATION
PASADENA CALIF
BERKELEY CALIF
SAN JOSE CALIF
SAN LEANDRO CALIF
SAN DIEGO CALIF
BURBA N K CALIF
SAN BERNARDINO CALIF
HONOLULU HAWAII
LAS VEGAS NEVADA
PORTLAND OREGON
SEATTLE WASH
SITE
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
i
i
i
i
i
i
i
2
2
2
2
3
3
3
4
5
6
1
YEARS
5 3
5 4
5 5
5 6
5 7
53 57
5 4
5 5
54 55
5 4
5 5
56
57
54 57
5 5
5 6
55 56
57
57
5 7
5 6
5 7
56 57
56
5 6
5 7
56 57
5 7
5 3
5 4
5 5
56
57
53 57
54
5 5
5 6
54 56
5 3
5 4
53 54
5 4
5 4
5 5
53
5 4
5 5
56
57
53 57
57
No. OF
SAMPLES
7
2 7
4 1
4 6
2 4
145
3 2
4 9
8 1
3 0
5 0
4 3
2 5
146
7 4
4 1
115
2 6
2 6
2 3
2 3
2 8
5 1
1 1
3 4
2 8
6 2
2 7
1 7
3 6
6 7
3 0
2 6
176
3 0
2 6
1 3
6 9
1
6
7
1 0
1 0
6
1 8
9 2
99
4 3
2 6
278
2 5
MIN
6 9
4 1
57
4 2
6 4
4 1
3 1
3 6
3 1
3 7
2 5
2 1
2 7
2 1
5 2
3 4
3 4
3 2
4 1
3 5
2 3
3 0
2 3
2 0
2 0
3 0
2 0
5 4
3 5
3 4
2 6
2 7
3 2
2 6
6 5
6 8
58
58
249
3 5
3 5
147
lea
58
3 5
3 4
2 6
2 7
3 2
2 6
4 1
IMICROGRAMS PER CUBIC METER)
MAX
991
598
387
574
269
991
298
247
298
231
299
356
SSI
356
623
286
623
241
433
470
8 2
8 7
8 7
3 7
8 2
8 7
8 7
468
349
377
210
343
315
377
428
205
384
428
249
166
249
632
418
151
349
632
210
384
315
632
446
AVG
364
215
154
195
143
187
9 3
9 5
9 4
108
119
156
118
127
166
137
156
100
180
235
3 8
4 5
4 2
2 8
3 4
4 5
3 9
164
ISO
136
105
122
9 8
118
176
134
145
154
249
7 4
9 9
382
267
9 7
156
186
112
129
9 8
141
124
FREQUENCY DISTRIBUTION— PERCENT
10
7 6
89
6 5
9 4
80
8 3
4 1
4 7
4 4
4 4
4 7
7 6
3 4
5 5
8 9
5 5
B 6
52
89
89
2 5
3 1
28
2 1
2 4
3 1
2 6
114
5 5
5 5
57
4 0
3 8
4 6
8 9
7 6
6 0
7 1
37
3 7
171
177
6 0
5 5
67
6 1
4 7
38
5 6
5 1
20
7 6
105
100
123
105
108
4 5
59
5 1
6 5
7 3
108
9 3
7 9
111
9 7
107
6 0
100
134
28
3 3
30
2 5
2 6
3 3
28
123
6 5
7 6
6 9
60
42
6 6
9 7
9 5
6 9
9 2
37
3 7
201
183
6 0
8 3
89
7 3
6 5
4 2
7 1
6 0
30
145
152
116
145
112
129
51
6 7
6 0
80
8 2
118
105
9 3
120
112
119
7 6
123
158
30
3 5
3 2
2 6
27
3 5
3 1
131
89
8 9
81
7 6
6 0
7 9
105
105
7 2
102
4 0
4 0
236
189
6 5
89
101
8 6
7 4
6 0
8 7
8 9
40
278
171
129
158
123
146
58
7 6
69
9 3
8 9
129
110
106
134
127
132
8 0
145
181
3 1
36
3 4
2 6
29
3 6
3 2
140
105
9 7
9 2
9 3
68
9 1
132
123
7 6
125
4 0
4 7
327
195
6 5
105
129
97
8 9
6 8
9 9
108
50
327
189
142
175
145
166
7 1
8 3
8 0
105
102
145
118
117
147
145
146
8 7
165
257
3 3
3 8
3 7
2 8
3 1
3 8
3 4
149
123
111
101
105
7 6
102
145
145
123
141
278
4 7
76
419
201
7 6
123
154
106
108
7 6
114
117
60
327
201
165
194
158
184
8 1
8 9
8 7
113
123
162
123
133
159
157
158
9 7
183
286
3 6
4 0
3 9
28
3 2
4 0
37
156
158
145
110
114
105
115
171
154
134
154
278
7 6
7 6
453
303
8 9
171
173
119
118
105
135
123
70
385
227
189
213
176
203
8 9
105
103
120
152
181
145
154
174
168
171
105
195
303
3 9
4 7
4 3
2 9
3 5
4 7
39
167
186
156
121
123
117
132
194
159
145
169
278
7 6
105
480
327
8 9
201
194
137
138
117
160
140
80
453
264
210
257
186
229
123
132
130
138
171
201
162
177
198
184
192
145
236
319
4 4
5 5
5 1
3 2
3 9
5 5
4 7
191
257
171
140
171
134
162
236
168
236
197
278
105
171
506
356
158
250
294
156
201
134
187
154
90
453
365
227
327
201
315
236
162
171
186
201
236
201
210
268
201
236
162
311
3 a 5
5 5
7 6
7 1
3 4
5 1
7 6
o 5
250
278
201
175
224
145
197
327
1 8 1
278
257
278
105
171
533
385
158
278
396
177
257
145
266
201
-------
TABLE 1. SUSPENDED PARTICULATE MATTER—URBAN STATIONS—STATE TOTALS
25
STATE OR REGION
CONNECTICUT TOTAL
MAINE TOTAL
MASSACHUSETS TOTAL
NEW HAMPSHRE TOTAL
RHODE ISLAND TOTAL
VERMONT TOTAL
DELAWARE TOTAL
NEW JERSEY TOTAL
NEW YORK T"TAL
PENNSYLVANIA TOTAL
DIS COLUMBIA TOTAL
KENTUCKY TOTAL
MARYLAND TOTAL
NO CAROLINA TOTAL
PUERTO RICO TOTAL
VIRGINIA TOTAL
«EST VIRGIN A TOTAL
ALABAMA TOTAL
FLORIDA TOTAL
GEORGIA TOTAL
MISSISSIPPI T 0 T a L
SO CAROLINA TOTAL
TENNESSEE TOTAL
ILLINOIS TOTAL
INDIANA TOTAL
MICHIGAN TOTAL
OHIO TOTAL
WISCONSIN TOTAL
-IOWA TOTAL
KANSAS TOTAL
MINNESOTA TOTAL
MISSOURI TOTAL
NEBRASKA TOTAL
NORTH DAKOTA TOTAL
SOUTH 0 A k 0 T » TOTAL
ARKANSAS TOTAL
LOUISIANA TOTAL
NEW MEXICO TOTAL
OKLAHOMA TOTAL
TEXAS TOTAL
COLORADO TOTAL
IDAHO TOTAL
MONTANA TOTAL
UTAH TOTAL
WYOMING TOTAL
ALASKA TOTAL
ARIZONA TOTAL
CALIFORNIA TOTAL
HAWAII TOTAL
NEVADA TOTAL
OREGON TOTAL
WASHINGTON TOTAL
YEARS
54 57
5 7
54 57
5 7
54 57
5 7
5 7
54 57
53 57
53 57
53 57
54 57
56 57
5 7
57
57
53 57
5 7
53 57
53 57
57
57
54 57
54 57
55 57
53 57
53 57
57
57
55 57
53 57
53 57
5 7
5 7
5 7
5 7
54 57
57
5 7
53 57
54 57
5 7
5 7
53 57
5 7
53 57
5 7
53 57
56 57
5 7
53 57
57
No. OF
SAMPLES
163
1 8
373
1 7
7 3
2 6
2 8
•q 2 2
3 7 d
1570
154
129
5 4
5 1
2 1
5 1
163
2 5
182
21*
2 4
5 3
260
476
307
240
607
4 8
2 6
8 3
254
414
5 2
2 4
2 6
2 6
240
2 2
2 0
575
143
3 4
2 5
129
3 7
127
2 6
690
6 2
2 7
278
2 5
(MICROGRAMS PER CUBIC METER)
MIN
1 1
-------
26
TABLE 1. SUSPENDED PARTICULATE MATTER-URBAN STATIONS-REGIONAL AND GRAND TOTALS
STATE OR REGION
NEW ENGLND TOTAL
MID ATLNTC TOTAL
MID EAST TOTAL
SOUTH EAST TOTAL
MID WEST TOTAL
CRT PLAINS TOTAL
GULF SOUTH TOTAL
ROCKY W N T N TOTAL
PAC COAST TOTAL
GRAND TOTAL
YEARS
54 57
53 57
53 57
53 57
53 57
53 57
53 57
53 57
53 "57
53 57
No. OF
SAMPLES
669
2396
623
7 5 b
1705
879
883
358
1235
9506
MIN
1 1
2 5
2 8
1 5
1 3
1 2
1 0
1 5
9
9
MAX
472
1011
793
644
978
800
2928
1070
3112
3112
(MICROGRAMS PER CUBIC METER)
AVG
118
191
170
129
189
152
128
148
153
163
FREQUENCY DISTRIBUTION— PERCENT
10
4 6
7 8
7 2
5 7
7 4
6 5
5 2
5 9
4 4
6 2
20
6 6
101
9 2
7 2
9 7
8 3
67
8 1
6 6
8 2
30
7 9
125
106
8 5
117
9 9
79
97
8 5
99
40
9 2
•146
121
9 7
137
114
9 1
111
104
117
50
104
168
137
110
159
131
105
126
123
136
60
121
193
155
127
186
151
118
142
146
158
70
138
221
180
148
221
179
138
167
170
186
80
163
258
221
173
268
200
163
194
205
224
90
203
320
317
226
344
262
214
264
290
295
-------
TABLE 1. SUSPENDED PARTICULATE MATTER—SUBURBAN STATIONS
27
STATION LOCATION
MIDDLESEX CNTY MASS
LAKEHURST N J
K A N A W H A CO W VA
HILLSBOROUGH CO FLA
FULTON CO GEORGIA
HAMILTON COUNTY OHIO
TONKA BAY MINN
E 0 1 N A MINN
DENVER COUNTY COLO
SALT LAKE CO UTAH
MULTNOMAH CNTY ORE
GRAND TOTAL
SITE
i
1
1
1
i
i
1
I
i
1
1
i
i
i
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
YEARS
5 4
5 S
56
54 56
5 5
5 6
55 56
5 4
5 5
5 6
54 56
5 3
5 4
5 5
5 6
53 56
5 3
54
5 5
53 55
5 3
5 4
5 5
53 55
5 3
54
53 54
54
5 5
54 55
5 4
5 5
5 6
54 56
5 3
5 4
5 5
53 55
54
5 5
54 55
S3 56
No. OF
SAMPLES
1 2
5 2
4 4
108
4 0
1 7
5 7
2 6
3 3
7
66
4
3 7
3 9
2 5
105
2
4 3
2 7
7 2
6
5 5
6
67
7
3 7
4 4
6
2 4
3 0
2 1
4 4
3 1
9 6
1
2 7
2 8
56
1 5
7
2 2
'723
1MICROGRAMS PER CUBIC METER)
MIM
2 3
1 4
2 8
1 4
1 9
3 5
1 9
3 3
4 1
2 1
2 1
1 7
3
1 8
1 8
3
4 5
9
2 1
9
2 5
1 5
2 4
1 5
2 8
1 2
1 2
3 7
5 0
3 7
1 5
2 0
2 1
1 5
5 1
2 2
2 9
2 2
2 8
2 9
2 8
3
MAX
5 7
112
205
205
120
224
224
261
421
309
421
6 0
9 0
123
7 5
123
6 4
109
116
116
828
176
5 5
228
6 4
267
267
99
748
748
113
221
382
382
5 1
240
207
240
140
115
140
748
AVO
3 6
4 8
6 3
5 3
5 4
7 2
5 9
106
135
127
123
3 4
2 9
5 1
4 0
4 0
5 4
6 5
5 6
6 1
133
6 3
4 5
6 8
4 1
5 9
5 6
7 3
142
128
5 4
7 6
104
8 0
5 1
6 8
7 0
6 9
9 2
6 5
8 3
6 9
FREQUENCY DISTRIBUTION— PERCENT
10
2 2
2 4
38
2 8
2 9
4 2
31
4 5
4 7
2 1
4 5
8
30
2 5
18
34
28
3 1
2 5
2 5
2 5
34
2 7
17
17
4 0
5 5
52
2 5
27
4 4
30
3 1
37
3 4
4 7
2 9
29
2 6
20
2 4
32
4 3
3 6
33
4 5
37
5 1
6 5
2 1
56
18
1 1
3 5
26
2 3
4 7
32
4 2
2 5
32
2 5
32
27
22
2 5
4 0
6 1
5 8
3 2
40
5 5
4 2
3 4
4 2
3 7
6 5
2 9
4 0
3 5
30
2 5
3 7
4 6
4 0
4 0
4 9
4 4
6 2
73
4 7
6 7
1 8
2 0
37
2 8
28
4 7
53
4 2
4 8
8 9
4 1
4 7
4 2
29
3 4
3 1
5 5
6 5
6 3
4 1
4 7
72
4 8
38
47
4 5
8 9
3 7
6 5
4 2
40
34
4 1
5 1
4 3
4 7
5 2
4 9
7 1
8 5
6 5
78
2 5
22
4 0
3 2
3 2
4 7
6 1
4 7
5 3
8 9
4 8
4 7
4 9
32
4 0
39
5 5
8 9
83
4 4
6 0
8 0
59
5 0
53
5 1
9 3
4 0
8 3
4 9
SO
3 7
4 4
5 4
4 7
5 1
5 5
5 2
8 9
105
89
94
2 5
2 5
4 9
3 7
3 6
4 7
68
5 1
S 9
123
5 6
4 9
5 5
3 4
5 2
5 0
6 5
105
9 5
4 7
6 8
8 9
7 0
5 5
6 0
6 2
59
101
5 5
93
5 5
60
3 9
4 8
S 8
5 2
5 4
5 8
5 5
105
123
8 9
113
2 5
2 9
5 3
4 0
4 0
4 7
7 2
5 4
6 6
145
6 3
5 1
6 3
34
60
5 5
9 4
129
105
5 5
73
105
8 1
5 5
67
7 2
6 9
105
5C
D
101
6 3
70
4 0
5 4
6 3
5 8
6 3
6 3
6 3
117
154
123
134
4 0
3 4
5 9
5 0
5 1
4 7
7 6
6 0
7 3
145
7 6
5 1
7 8
5 5
7 3
68
9 4
145
134
6 5
97
119
96
5 5
7 4
8 3
7 6
112
7 6
108
7'5
80
4 4
6 1
7 6
6 3
70
105
71
145
236
278
213
4 0
4 0
6 5
5 5
5 9
6 5
8 3
8 9
8 4
219
8 9
5 3
9 5
60
86
7 9
100
171
158
76
110
138
112
5 5
8 9
8 9
8 9
116
115
9 4
90
4 7
7 0
5
8 4
7 6
123
9 7
219
270
278
257
6 5
5 8
8 3
6 5
6 9
6 5
9 7
100
9 8
219
123
5 3
130
60
100
100
100
236
219
97
121
162
130
5 5
123
101
114
123
120
119
486455 O -58 -3
-------
28
TABLE 1. SUSPENDED PARTICULATE MATTER—NONURBAN STATIONS
STATION LOCATION
LITCHFIELO CNTY CONN
ACADIA NATNL PARK ME
MT MANSFIELD ERST VT
WORCESTER COUNTY MD
CAPE MATTERAS NC
SHENANDOAH PARK VA
HOLLY RIVER PK W VA
GULF SHORES PARK ALA
FLORIDA KEYS FLORIDA
0 A T L A N 0 ISLAND GA
JACKSON COUNTV MISS
FT DONELSON TENN
SANGAMON COUNTY ILL
HURON COUNTY MICH
PERRYS MEMORIAL OHIO
ELLIS COUNTY KANSAS
COOK COUNTY MINN
SHANNON COUNTY MO
THOMAS CO NEBR
WARD COUNTY N D
BLACK HILLS FRST S 0
YELLOWSTONE PARK WYO
PT WORONZOF ALASKA
GRAND CANYON ARIZ
WAIMANOLO HAWAII
GRAND TOTAL
SITE
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
1
YEARS
S 4
5 o
5 <->
54 56
57
5 7
5 7
5 7
57
5 7
5 7
5 7
5 7
5 7
57
57
5 7
57
57
5 7
5 7
57
5 7
57
57
5 5
5 6
5 7
55 57
5 7
5 7
54 57
No. OF
SAMPLES
5
3 8
2 8
7 1
1 8
7
3 4
7
S 5
2 5
1 3
1 4
1 6
2 0
1 7
1 6
3 4
8
1 1
1 8
1 8
1 2
1 3
5
5
1 1
4 6
6
6 3
2 6
2 3
511
MIN
8
9
9
8
2 0
1 5
3 7
1 8
1 4
1 3
1 5
1 0
2 2
1 6
2 2
3 4
5
2 3
1 8
1 7
1 3
1 2
1 2
1 1
4
1 7
5
1 3
5
3
2 3
3
(MICROGRAMS PER CUBIC METER)
MAX
3 6
187
208
208
102
6 2
9 4
7 4
5 6
7 6
7 1
4 7
130
223
7 9
122
132
9 0
103
202
7 5
9 6
460
2 8
1 5
295
133
3 9
295
6 1
8 5
460
AVG
2 0
4 3
4 6
4 3
3 8
3 2
6 0
4 3
3 2
3 4
3 S
2 6
4 6
4 3
4 4
6 6
4 2
5 1
4 5
6 7
3 5
3 3
5 2
1 7
8
9 0
2 6
2 2
3 7
1 6
4 1
4 0
FREQUENCY DISTRIBUTION— PERCENT
10
8
2 4
2 1
2 1
2 6
1 5
4 0
18
2 0
18
1 5
1 0
29
1 8
2 9
37
1 1
2 5
1 8
19
2 1
1 2
1 2
1 1
4
1 7
9
1 3
9
5
2 5
1 3
20
8
28
2 4
2 4
2 8
IS
4 9
18
2 1
2 0
2 1
1 3
3 2
2 5
32
4 0
18
3 4
2 1
2 1
2 4
1 3
1 3
1 1
4
18
1 1
1 3
12
6
88
1 8
30
1 3
3 1
2 9
2 9
29
2 1
52
2 1
26
2 6
2 7
1 8
3 6
2 6
3 6
5 6
2 4
3 4
2 5
2 3
2 5
1 5
1 5
1 5
6
2 9
1 3
1 7
1 S
8
30
2 3
40
13
3 5
3 4
3 3
32
2 5
5 6
2 9
2 7
27
2 9
2 1
38
28
3 9
5 8
3 2
4 2
2 7
3 2
3 8
17
1 6
1 5
6
4 0
15
17
1 7
10
33
27
SO
2 3
3 8
3 9
3 8
3 6
3 2
5 9
5 S
3 2
2 8
3 4
2 3
4 2
2 9
4 2
6 1
3 6
4 5
3 7
4 2
3 1
1 8
1 7
1 7
8
7 6
1 7
1 8
2 0
1 3
3 6
3 3
60
2 3
4 3
4 2
4 1
3 9
3 2
6 2
5 5
3 S
3 4
37
2 5
4 5
3 4
4 5
6 4
4 0
4 7
4 0
4 7
3 4
3 1
1 8
1 7
8
8 9
2 2
2 1
24
1 7
3 7
3 8
70
2 5
4 8
4 5
4 5
4 2
3 4
6 8
6 0
3 8
4 2
4 0
3 9
4 7
4 2
5 0
6 5
47
5 5
5 5
9 7
4 4
2 3
2 1
1 8
9
114
2 4
2 1
28
1 8
3 9
4 5
80
25
5 2
4 7
5 1
4 5
4 7
7 3
6 S
4 0
47
4 7
4 0
52
4 7
5 5
8 9
6 2
5 S
6 5
105
4 7
5 5
2 5
1 8
9
123
29
2 9
4 7
21
47
5 4
90
4 0
6 0
8 3
6 3
5 1
4 7
8 9
6 5
5 1
60
5 5
4 5
5 5
6 S
6 5
105
a 3
8 9
8 9
145
6 0
9 7
4 0
3 9
1 5
171
5 1
2 9
8 9
3 9
8 0
7 2
-------
TABLE 1. SUSPENDED PARTICULATE MATTER—URBAN STATIONS
(MICROGRAMS PER CUBIC METER)
29
STATION LOCATION
WATERBURY CONN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
HARTFORD CONN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
NEW HAVEN CONN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
STAMFORD CONN
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
PORTLAND MAINE
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
BOSTON MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PITTSFIELD MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EVERETT MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
LAURENCE MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LYNN MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
SOMERVILLE MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
WORCESTER MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
MANCHESTER N H
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
PROVIDENCE R 1
•NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BURLINGTON VT
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
WILMINGTON DEL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
54 56
5 7
57
57
57
54 57
55 56
54 56
5 7
5 7
57
5 7
5 7
54 57
5 7
57
JAN
4
101
140
113
2
19 2
157
122
3
146
131
9 7
2
103
0 8
7 4
10
348
314
7 9
1
5 0
5 0
5 0
8
254
129
6 1
2
3 1
2 6
3 1
2
0 2
6 2
4 2
3
160
145
133
1 0
309
114
3 0
3
4 3
3 5
Z 8
2
301
308
115
FEB
6
336
215
7 3
£
279
202
135
2
142
116
9 0
2
184
179
174
1
156
156
156
9
211
181
125
2
8 1
7 0
6 0
1 0
213
131
6 3
3
128
8 3
3 9
1
8 3
8 3
8 3
2
9 S
7 6
6 2
2
219
190
162
1
4 1
4 1
4 1
1 4
234
9 3
3 5
3
7 9
6 8
5 2
2
360
168
7 7
MAR
8
266
158
98
3
314
182
9 1
3
130
8 9
59
2
133
7 6
2 0
2
133
117
' 101
1 1
256
153
9 0
2
8 1
6 0
4 0
9
222
137
8 6
3
9 6
6 1
3 8
1
8 3
8 3
8 3
3
115
8 6
5 7
3
148
113
6 5
3
100
8 1
6 2
5
253
125
1 9
1
8 3
8 3
8 3
3
356
398
240
APR
7
291
193
131
3
113
9 6
8 0
2
59
57
5 6
2
222
137
3 3
2
157
123
89
1 0
472
165
68
2
5 8
4 9
4 0
7
138
9 7
39
1
4 0
4 0
4 0
2
165
112
59
2
191
163
135
1
148
148
148
2
108
7 S
4 2
1
84
84
84
2
7 4
62
5 1
2
136
116
97
MAY
8
271
158
8 1
3
118
115
112
2
9 4
7 7
6 1
3
131
8 1
4 6
2
7 8
6 2
4 6
1 0
160
136
7 7
2
8 3
7 7
7 3
9
353
156
8 7
3
9 5
7 5
5 7
3
8 5
7 1
5 4
1
159
159
159
3
131
101
7 2
2
7 2
6 2
5 2
1
126
136
126
2
7 3
5 7
4 2
3
337
213
100
JUNE
8
411
188
6 9
1
124
124
124
1
109
109
109
2
193
135
7 7
2
130
115
100
1 2
157
105
57
4
9 2
6 2
4 7
9
175
108
5 1
2
9 5
9 2
9 0
2
160
142
134
2
116
9 0
6 4
3
116
111
106
1
7 1
7 1
7 1
3
182
138
9 2
3
7 3
57
4 2
3
246
184
141
JULY
5
197
144
101
3
149
9 3
3 8
3
115
7 3
5 1
3
182
133
8 3
2
6 2
5 4
4 7
1 2
130
8 8
7 1
2
5 9
4 7
3 6
9
255
123
5 8
2
133
8 3
3 4
2
195
160
126
3
9 9
6 5
4 3
3
135
8 6
5 4
1
5 3
5 3
5 3
2
137
105
7 3
3
4 6
3 9
3 2
2
181
135
8 9
AUG
6
191
132
5 4
2
87
7 7
67
2
115
107
9 9
1
7 2
7 3
7 2
1 1
183
104
62
2
4 4
4 1
39
9
178
107
66
2
186
127
6 9
1
161
161
161
2
169
135
101
2
103
69
37
2
7 4
65
5 7
3
9 7
8 9
7 8
g
67
6 0
5 3
3
181
154
135
SEPT
6
172
142
9 7
2
130
107
85
1
158
158
158
3
136
109
7 3
1
118
118
118
1 0
117
97
7 2
3
103
8 2
7 2
8
160
126
90
3
99
8 2
5 5
2
82
6 2
4 3
3
107
9 5
7 1
3
85
5 6
4 2
1
6 9
6 9
6 9
1
7 7
77
77
2
5 7
4 8
3 9
1
122
133
122
ocr
1 1
347
145
1 1
2
84
68
52
3
9 4
7 3
55
1
99
99
9 9
1
265
265
265
1 5
303
141
9 6
4
103
7 2
36
1 3
293
144
3 3
2
6 3
54
46
3
353
157
103
2
5 4
5 3
52
2
115
74
34
2
152
9 6
40
6
140
111
98
2
55
46
37
2
121
113
105
NOV
9
454
209
72
3
136
97
35
1
101
101
101
2
9 6
68
4 0
2
135
128
132
1 4
193
141
9 7
2
6 9
53
38
9
186
110
42
2
132
9 3
5 5
3
70
5 6
4 3
2
77
59
4 1
1
169
169
169
1
55
5 5
5 5
1 1
131
67
17
3
36
31
34
5
306
186
108
DEC
1 0
330
179
59
2
216
181
147
2
201
181
162
3
247
147
7 3
3
209
151
89
11
388
185
9 6
2
100
8 i
6 3
9
259
144
53
2
67
61
5 6
2
108
9 5
83
3
70
5 3
37
3
9 9
85
64
2
9 9
7 8
5 7
1 6
208
8 9
1 9
2
81
60
39
1
481
481
481
-------
30
TABLE 1. SUSPENDED PARTICULATE MATTER—URBAN STATIONS
(MICROGRAMS PER CUBIC METER)
STATION LOCATION
ELIZABETH N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PAULSBORO N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CAMDEN N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PERTH AMBOY N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TRENTON N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
JERSEY CITY N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
EAST ORANGE N U
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NEWARK N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NEW YORK N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
BINGHAMTON N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BUFFALO N Y
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
SCHENECTADY N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SYRACUSE N Y
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
MINIMUM
U T 1 C A N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PHILADELPHIA PA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
ALTOONA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
55 56
55 56
55 57
55 56
55 56
54 57
5 7
5 7
53 57
5 7
5 7
5 7
57
5 7
53 57
55 56
JAN
3
106
7 1
5 2
4
224
139
7 3
6
372
219
179
5
165
0 8
3 3
4
115
8 9
3 9
5
343
195
9 5
2
5 4
5 1
4 9
2
169
163
157
1 7
346
197
0 4
2
126
9 1
5 6
2
9 5
0 5
7 5
1
6 8
6 8
6 8
2
7 0
5 5
4 0
2
121
9 3
6 6
7 6
910
262
5 0
FEB
4
8 9
6 5
3 7
4
187
134
8 6
6
368
176
5 4
3
177
113
7 1
4
730
306
7 2
6
212
169
185
2
266
173
7 9
2
126
121
116
2 0
379
189
7 1
2
143
118
9 4
2
148
109
7 0
2
9 3
7 9
6 5
3
198
108
4 4
2
238
163
9 8
9 4
742
236
6 6
1
134
134
134
MAR
4
137
9 a
7 1
4
236
157
132
6
352
233
130
4
156
111
4 7
3
i 3 a
iia
109
6
381
i 7 a
110
3
3 0
3 a
3 6
2
340
225
110
3 9
333
172
5 7
3
324
147
9 8
2
388
3 0 6
234
3
9 4
7 6
5 5
2
353
179
105
8
192
160
1 3,9
103
684
230
6 6
1
120
130
120
APR
8
181
9 9
5 1
8
143
107
5 3
9
388
171
7 3
7
217
113
6 4
5
266
134
8 3
1 0
313
183
8 0
1
166
166
166
3
338
213
108
2 3
303
1 Q 7
7 0
1
140
140
140
2
892
230
168
3
8 3
6 6
5 0
1
107
107
107
2
175
146
118
9 7
1011
262
5 f,
2
8 9
8 7
8 6
MAY
2
136
112
8 8
7
138
106
8 S
9
318
244
163
6
217
119
7 7
6
124
9 4
7 0
1 0
314
186
131
2
196
131
6 7
1
9 3
9 3
9 3
2 0
378
225
9 4
3
113
9 0
7 1
2
607
343
8 0
2
136
108
9 1
3
153
118
6 5
8
6 9
6 3
5 8
108
774
250
3 7
3
181
143
1 1 S
JUNE
2
105
101
9 7
3
110
8 1
6 4
4
365
174
6 1
4
143
9 4
4 2
3
8 1
7 0
5 5
6
263
160
100
1
153
153
153
2
ISO
135
9 1
2 4
328
190
4 4
2
7 9
7 2
6 5
3
568
318
190
1
8 2
8 2
8 2
1
128
128
128
1
139
1 2 9
129
102
396
193
4 4
3
128
9 2'
6 1
JULY
4
140
102
7 1
4
104
8 7
6 9
5
224
157
118
4
9 A
e 4
7 9
2
107
9 7
8 7
7
278
167
122
2
159
9 7
3 6
1
9 5
9 5
9 5
3 3
291
1 R 7
7 5
2
6 9
6 2
5 6
2
388
293
198
2
7 2
6 4
5 7
3
197
119
6 4
3
162
9 1
4 4
103
385
184
5 1
AUG
4
9 9
9 1
78
3
129
9 8
5 6
6
316
148
101
3
8 3
6 9
6 3
3
8 9
8 6
B 3
6
210
147
9 4
2
145
138
131
1
113
113
1 1 3
2 1
259
171
9 3
3
130
1 0 6
9 2
1
140
140
140
3
110
4 3
2
109
101
9 3
1
174
174
174
8 5
444
188
5 1
^
132
9 7
7 8
SEPT
4
213
139
105
4
168
104
7 7
6
235
128
7 5
3
7 1
6 1
4 9
5
193
129
7 t
2
366
259
153
3
7 7
6 6
5 5
3 4
370
315
•3 1
2
6 6
6 0
5 4
8
155
148
141
3
6 0
4 9
3 a
3
133
110
8 7
3
173
114
7 2
103
463
191
5 9
3
127
8 8
6 7
OCT
1
8 6
8 6
8 6
4
138
7 7
38
4
165
135
8 0
2
10 2
8 5
6 9
3
971
376
5 6
7
180
119
9 6
2
8 3
7 4
6 5
2 0
466
243-
9 7
3
8 6
7 1
5 4
1
258
258
2 5 H
2
143
116
9 0
3
136
8 8
4 0
3
1 2 7
116
105
9 2
483
-303-
8 9
5
411
196
8 3
NOV
2
250
183
1 16
3
133
123
112
7
376
190
108
3
172
110
6 6
3
190
156
105
8
339
224
163
1
35
3 5
35
20
642
208
7 9
3
9 0
8 1
7 3
1
130
130
130
2
103
7 7
5 1
3
347
181
8 6
2
154
106
5 6
123
710
837
7 1
3
166
139
8 7
DEC
4
217
117
5 5
4
146
105
5 1
6
345
233
150
4
170
125
8 3
4
256
165
120
5
311
205
123
2
171
142
113
1 9
333
203
7 8
2
115
107
9 9
1
117
117
117
1
4 9
4 9
4 9
2
146
107
6 9
2
210
1 3 H
6 6
113
7 6 1
385
6 3
-T
125
100
8 2
-------
TABLE 1. SUSPENDED PARTICULATE MATTER—URBAN STATIONS
(MICROGRAMS PER CUBIC METER)
31
STATION LOCATION
BRISTOL PA
NUMBER OF SAMPLES
MAX! MUM
AVERAGE
MINIMUM
CHESTER PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
ERIE PA
NUMBER OF SAMPLES
MAX! MOM
AVERAGE
U 1 M 1 MU M
PITTSBURGH PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
•ILLIAMSPORT PA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MU M
ALLENTOWN PA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
JOHNSTOWN PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
LANCASTER PA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
SCRANTON PA
NUMBER OF SAMPLES
MAX! MUM
AVERAGE
Ml N 1 MUM
WASHINGTON DC
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
LOUISVILLE KY
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
BALTIMORE MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
CHARLOTTE NC
NUMBER OF SAMPLES
MAX! MUM
AVERAGE
MINIMUM
WINSTON SALEM NC
•NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
SAN JUAN PUERTO RICO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 Mti M
NORFOLK VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
YEARS
55 5«
55 56
55 56
55 57
55 56
57
57
5~7
57
53 57
54 57
56 57
57
57
57
57
JAN
4
0 2
7 9
7 3
4
99
3 3
67
2
7 4
7 0
6 7
9
818
130
7 4
8
166
136
97
2
354
185
116
2
171
163
155
2
109
143
98
3
7 6
6 2
5 4
Z
135
128
121
FEE
3
177
126
9 1
4
222
174
121
5
88
6 5
4 1
6
253
123
4 3
3
515
364
284
2
271
239
208
1 3
321
203
110
8
188
143
113
2
166
146
126
2
161
124
8 8
2
228
142
5 6
1
132
132
132
2
160
127
9 5
MAR
3
124
9 6
8 2
1
9 4
94
9 4
3
8 9
7 3
55
5
253
194
120
4
289
222
153
1
110
110
110
3
178
121
9 2
1 4
224
138
68
5
231
143
48
2
176
150
125
2
141
127
113
2
162
129
96
2
101
9 3
8 5
3
115
107
9 9
APR
5
138
85
52
6
168
102
38
4
82
59
4 4
6
311
176
103
3
264
223
193
1
87
87
87
1
244
244
244
1
199
199
199
2
9 0
84
79
14
459
159
82
1 0
275
155
95
3
301
207
106
2
131
124
117
3
106
88
7 1
.
1
87
87
87
1
107
107
107
MAY
6
148
106
6 5
7
323
132
4 7
4
6 4
5 3
4 5
6
348
196
120
4
314
200
145
3
152
114
7 3
1
132
132
132
1
127
127
127
2
287
198
109
1 4
215
142
6 3
7
318
154
7 8
2
233
161
9 0
2
113
6 6
5 9
2
109
8 5
6 2
2
168
150
133
JUNE
4
lie
79
4 6
3
155
143
131
4
100
6 9
25
7
449
241
103
4
310
205
135
2
145
133
122
3
126
3 8
3 3
2
170
152
135
2
129
123
118
1 5
186
118
4 4
8
288
142
9 1
7
295
164
103
3
8 4
6 8
4 5
2
8 6
7 5
6 4
2
8 4
8 2
a i
2
123
114
106
JULY
4
186
122
8 7
4
198
150
101
4
6 6
4 5
3 3
19
180
9 2
5 8
4
229
140
7 4
2
98
69
4 1
1
124
124
124
2
9 8
9 2
87
2
105
8 3
6 2
1 1
188
129
5 7
1 7
272
170
101
5
191
136
102
2
9 0
7 8
6 7
2
9 9
9 5
9 1
2
5 3
4 9
4 5
3
115
101
7 9
AUG
3
109
87
7 1
4
179
140
87
4
8 5
57
4 3
1 «
276
159
9 2
5
191
164
121
3
214
157
107
2
268
248
228
2
9 1
85
80
2
179
134
8 9
16
258
108
52
1 9
358
154
65
8
447
177
7 7
2
132
113
9 5
3
119
8 1
28
2
6 1
56
5 2
2
109
9 4
8 0
SEPT
4
111
88
62
4
180
137
93
4
91
7 1
3 9
6
232
160
98
4
211
175
158
1
58
5 8
5 8
1
239
239
239
2
7 3
69
6 5
2
127
126
126
1 2
163
122
86
18
335
173
59
6
220
146
105
2
174
119
6 5
1
37
37
37
2
6 a
67
67
2
147
120
94
ocr
4
105
60
27
5
126
8 4
40
5
110
»0
39
7
534
176
69
5
418
254
116
3
195
116
48'
1
223
223
223
1
126
126
136
3
466
349
132
15
254
143
4 1
9
306
213
96
5
461
209
96
1
141
141
141
3
87
74
6 1
3
124
8 1
5 4
1
9 1
9 1
9 1
NOV
3
136
111
83
S
273
346
220
4
77
57
33
6
309
167
79
7
25B
197
85
1
87
87
87
1
103
103
103
2
315
293
271
11
276
160
58
7
353
218
129
7
423
870
135
2
129
117
105
3
140
99
5 9
2
75
66
58
3
121
86
60
DEC
4
829
139
75
4
179
141
100
5
550
231
31
6
191
117
78
3
268
201
131
3
139
107
71
2
271
238
205
1 0
236
133
78
13
384
176
92
5
739
372
175
3
322
831
132
2
188
116
105
1
53
53
53
2
142
111
81
-------
32
TABLE 1. SUSPENDED PARTICULATE MATTER—URBAN STATIONS
(MICROGRAMS PER CUBIC METER)
STATION LOCATION
RICHMOND VA
NUMBER OF SAMPLES
MAX) MUM
AVERAGE
Ml N 1 MU M
CHARLESTON W VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
WHEELING 1 VA
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 MU M
BIRMINGHAM ALA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
TAMPA FLA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
MIAMI FLA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ATLANTA GA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
COLUMBUS GA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
JACKSON MISS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
COLUMBIA SC
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
GREENVILLE SC
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MU M
CHATTANOOGA TENN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
KNOXVILLE TENN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 U U U
NASHVILLE TENN
NUMBER OF SAMPLES
MAXI MUM
AVERAGE
Ml N 1 M U M
CHICAGO ILL
NUMBER OF SAMPLES
MAXI MUM
AVERAGE
MINIMUM
EAST ST LOUIS ILL
NUMBER OF SAMPLES
MAXI MUM
AVERAGE
MINIMUM
YEARS
57
53 57
56 57
57
53 57
57
53 57
57
57
5 7
57
54 57
57
57
54 57
55 56
JAN
3
9 9
9 9
99
6
502
257
6 6
2
344
248
152
2
171
165
159
1 4
123
0 5
3 9
2
0 6
8 2
7 9
1 7
306
163
5 3
3
9 0
7 5
6 0
2
8 4
7 0
5 6
2
133
105
7 7
2
116
9 9
0 2
2 3
302
146
3 5
2
131
122
4
178
153
144
2 5
306
217
3 5
8
553
251
128
FEB
2
232
182
133
8
696
365
77
2
277
242
207
3
195
130
87
1 3
158
109
78
2
6 5
6 2
5 9
2 2
256
146
3 1
2
128
118
108
2
3 3
2 6
1 9
2
9 9
97
9 6
2
187
140
9 3
1 6
565
211
6 1
2
232
171
2
9 3
8 5
77
3 3
626
308
4 3
8
407
200
7 2
MAR
2
157
108
6 0
6
793
312
8 1
2
215
187
159
1
7 8
73
78
1 4
171
103
4 8
1
9 9
9 9
9 9
2 1
319
143
3 3
3
145
106
68
2
198
156
114
2
209
180
152
2
9 5
7 5
55
2 0
398
186
6 4
2
168
129
9 1
2
129
116
103
2 3
519
224
68
8
608
260
102
APR
3
101
9 7
9 1
1 0
561
240
62
3
217
174
137
2
177
113
5 0
1 3
151
87
3 3
2
65
57
4 9
17
159
111
50
1
138
138
138
2
55
54
5 4
1
79
79
79
2
159
118
78
17
323
195
54
3
224
160
7 9
2
198
156
114
17
503
253
78
8
441
289
119
MAY
2
106
8 6
6 6
1 3
422
255
9 1
1
157
157
157
3
243
124
5 4
1 2
132
9 5
4 4
3
6 4
5 0
3 9
1 4
203
116
5 6
3
132
8 3
4 4
2
6 6
6 0
5 4
2
9 3
9 0
8 7
4
100
8 3
6 1
9
325
213
7 1
1
124
124
124
3
123
9 6
8 0
2 4
570
224
7 2
9
242
176
6 8
JUNE
a
8 1
6 5
50
1 0
493
320
6 3
2
178
176
175
2
8 8
7 2
56
1 1
141
8 6
4 0
1
69
6 9
6 9
1 4
181
119
8 3
2
5 3
4 5
37
1
4 2
4 2
4 2
3
104
7 4
55
3
9 8
7 3
59
7
258
152
8 3
3
87
76
6 8
2
159
124
90
3 6
38 5
205
6 8
6
297
189
120
JULY
a
115
9 a
69
1 2
475
194
6 3
6
197
137
9 6
2
166
131
97
108
7 0
50
3
106
7 9
5 1
19
216
109
5 5
Z
125
107
9 0
3
147
103
7 4
, 2
104
97
9 0
3
9 1
7 0
4 6
15
267
145
3 3
2
111
9 4
7 8
2
163
123
8 4
3 0
443
156
4 2
8
337
207
107
AUG
3
9 5
80
66
11
386
188
7 5
4
212
165
126
1
166
166
166
115
67
34
2
56
4 3
3 1
1 8
197
132
85
3
120
116
112
3
128
110
9 0
3
135
132
100
2
142
103
64
1 5
385
167
57
2
159
130
102
3
255
209
164
37
398
166
1 4
1 5
313
164
8 9
SEPT
3
137
104
72
1 3
546
290
6 0
4
163
139
101
2
197
139
8 2
110
71
54
2
59
5 3
4 7
1 1
212
127
6 4
2
104
83
63
1
6 4
6 4
64
1
78
78
78
3
265
169
77
1 7
394
190
69
3
143
121
109
3
176
131
71
3 5
362
159
1 5
Q
357
189
8 2
OCT
3
119
9 4
7 1
1 2
655
251
4 4
5
419
397
308
3
285
170
101
100
74
3 1
2
6 4
56
49
1 2
421
175-
85
3
209
159
83
3
79
70
5 4
2
175
128
8 3
2
153
113
7 3
9
394
- 335-
96
1
139
139
139
2
317
331
125
29
584
378
59
9
302
151
3 3
NOV
1
50
50
50
9
497
193
58
3
278
318
165
2
118
116
115
j ^
172
118
50
3
89
70
53
7
342
153
78
2
101
88
76
2
65
40
15
3
156
132
98
2
177
166
156
31
644
193
69
2
159
157
156
2
116
103
91
36
563
348
66
Y
338
308
97
DEC
3
165
133
6 4
1 3
764
303
6 7
3
293
231
170
3
154
126
9 9
1 5
377
132
57
3
58
51
45
1 5
361
145
82
2
158
114
70
1
59
59
59
1
139
139
139
2
126
103
80
37
535
138
25
3
345
198
108
3
128
116
105
30
865
393
30
Q
338
186
84
-------
TABLE 1. SUSPENDED PARTICULATE MATTER—URBAN STATIONS
IMICROGRAMS PER CUBIC METER)
33
STATION LOCATION
SPRINGFIELD ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
EAST CHICAGO INO
NUMBER OF SAMPLES
MAX) MUM
AVERAGE
Ml N 1 MU M
EVANSVILLE INO
NUMBER OF SAMPLES
MAXI MUM
AVERAGE
Ml N 1 MU M
FORT WAYNE INO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
INDIANAPOLIS IND
NUMBER OF SAMPLES
MAXI MUM
AVERAGE
MINIMUM
DETROIT MICH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
GRAND RAPIDS MICH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
KALAMAZOO MICH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
LANSING MICH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
FLINT MICH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
U 1 N 1 MU M
CINCINNATI OHIO
NUMBER OF SAMPLES
MAXI MUM
AVERAGE
Ml N 1 MUM
YOUNCSTOIN OHIO
NUMBER OF SAMPLES
MAXI MUM
AVERAGE
MINIMUM
CANTON OHIO
NUMBER OF SAMPLES
MAXI MUM
AVERAGE
Ml N 1 MU M
CLEVELAND OHIO
NUMBER OF SAMPLES
MAXI MUM
AVERAGE
Ml N 1 MU M
COLUMBUS OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
TOLEDO OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
YEARS
57
55 57
57
57
57
53 57
57
57
57
57
53 57
56 57
57
57
57
57
JAN
7
470
295
104
2
143
141
139
2
127
108
0 9
1
176
176
176
1
106
106
106
2
101
9 3
06
2
9 2
7 7
62
a
0 6
7 7
6 9
2
134
110
07
2 5
301
134
36
2
139
107
76
2
164
152
141
2
194
161
129
2
211
201
191
2
77
7 1
6 6
FEB
1 4
290
172
55
2
107
100
9 3
3
304
212
132
2
127
123
119
7
374
252
9 5
2
164
143
123
3
156
110
7 2
2
113
8 3
53
3
235
173
112
39
289
142
50
2
249
229
209
2
274
219
164
3
314
249
175
2
241
237
234
2
206
176
147
MAR
2
126
102
7 8
2 8
978
291
105
3
133
106
90
2
206
172
138
1
217
217
217
1 2
447
179
4 7
2
205
146
8 7
1
4 9
4 9
4 9
1
140
140
140
1
9 8
98
9 8
8 8
656
168
3 9
2
190
145
101
2
304
294
285
2
141
117
9 3
3
222
184
145
2
156
118
8 1
APR
3
82
6 9
60
22
720
325
6 6
1
141
141
141
2
135
126
117
2
166
144
123
15
584
192
23
2
108
97
87
3
9 3
81
70
4
121
108
77
3
171
132
107
35
396
146
17
3
263
170
102
2
248
182
117
1
147
147
147
2
132
120
108
3
134
94
48
MAY
2
8 7
7 7
6 7
37
852
286
7 9
3
170
110
75
2
105
9 5
8 5
3
200
162
141
1 4
398
149
2 4
2
252
173
9 5
2
181
132
8 4
3
152
9 7
34
1
190
190
190
3 0
297
140
5 8
2
231
187
144
3
291
245
185
3
161
140
106
2
132
104
7 7
2
148
101
5 5
JUNE
1
62
62
62
1 4
437
311
118
3
6 8
66
65
2
9 1
8 5
79
2
140
134
128
13
743
233
4 8
3
355
203
105
2
53
4 7
4 1
2
121
110
99
2
137
126
115
2 6
334
148
56
1
6 3
6 3
6 3
1
113
113
113
2
125
123
132
2
175
144
114
2
130
123
117
JULY
3
116
98
86
2 3
398
185
8 2
2
78
75
7 3
3
114
9 5
7 0
3
123
111
100
6
375
158
4 8
S
6 3
5 3
4 5
3
152
115
79
3
175
137
8 7
27
220
122
36
7
198
126
75
3
320
141
7 0
2
214
194
174
2
180
174
169
2
290
174
59
AUG
1
118
118
118
14
479
263
168
2
105
9 0
76
1
136
136
136
3
260
212
177
9
224
117
50
3
135
114
101
2
9 1
64
37
3
113
9 3
8 1
2
155
138
123
24
286
137
58
8
434
244
103
3
216
183
129
2
399
296
294
2
348
341
334
2
9 9
86
7 3
SEPT
2
100
97
95
1 9
482
346
118
2
127
100
74
2
138
105
73
3
178
132
87
1 1
237
154
86
1
339
229
229
2
127
133
120
1
51
51
51
2
139
132
136
3 4
507
155
6 0
8
651
306
89
1
151
151
151
2
221
154
87
3
189
171
159
3
179
141
87
OCT
3
173
107
4S
25
489
386
74
3
105
97
90
4
344
184
110
4
158
1 4O
125
6
344
309
92
1
288
388
388
1
41
4 1
4 1
3
57
55
53
3
309
1 30
70
34
418
135
35
2
359
391
234
3
236
163
101
2
247
182
118
4
374
239
176
2
311
202
9 3
NOV
1
310
310
310
20
439
199
73
1
13
13
13
3
189
146
131
3
151
138
106
40
716
305
38
3
64
53
44
3
76
71
67
3
170
153
137
33
444
178
32
S
406
330
116
2
310
163
116
3
258
334
193
3
310
340
164
3
116
92
68
DEC
3
126
77
45
15
700
316
62
3
124
98
59
2
162
135
1O9
2
155
133
111
4
221
170
146
2
168
132
96
3
101
81
61
2
103
95
88
41
336
150
32
4
164
119
88
3
186
142
108
2
300
185
171
2
136
130
125
2
160
118
76
-------
34
TABLE 1. SUSPENDED PARTICULATE MATTER—URBAN STATIONS
(MICROGRAMS PER CUBIC METER)
STATION LOCATION
L 0 R A 1 N OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
MILWAUKEE HIS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
RACINE IIS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
OES MOINES I01A
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
KANSAS CITY KANSAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
RICHITA KANSAS
NUMBER OF SAMPLES
MAX! MUM
AVERAGE
Ml N 1 MU M
MINNEAPOLIS MINN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
OULUTH MINN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
KANSAS CITY MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
ST LOUIS MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
BRENTIOOD MO
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MUM
BRECKENRIDGE MO
NUMBER OF SAMPLES
MAXI MUM
AVERAGE
MINIMUM
OMAHA NEB
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
LINCOLN NEB
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
BISMARCK NO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
SIOUX FALLS 3D
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MUM
YEARS
57
57
57
5 7
55 57
57
53 57
57
53 57
55 57
55 56
55 56
57
57
57
57
JAN
2
145
114
84
2
160
148
137
2
138
99
6 0
2
204
192
180
2
7 3
66
5 9
1 3
269
126
7 1
1
183
123
123
1 4
490
229
4 8
10
800
287
127
2
8 2
8 1
8 1
4
267
157
7 0
2
114
108
103
2
105
8 8
7 2
2
160
108
5 6
2
7 0
6 9
6 9
FEB
2
247
204
162
2
367
231
9 5
1
134
134
134
2
458
333
208
3
378
213
8 2
3
128
9 7
4 1
15
221
146
9 3
2
141
121
101
1 1
541
190
5 6
1 2
501
318
227
3
398
238
122
2
138
125
113
2
185
163
141
2
66
5 8
5 1
2
131
107
8 4
MAR
2
124
99
7 5
2
217
157
9 7
3
273
213
124
2
153
124
96
7
242
146
58
1
94
94
9 4
1 5
722
161
6 0
3
401
225
129
1 9
393
192
4 1
1 0
313
222
158
4
122
103
79
2
220
208
197
2
194
152
110
2
128
112
96
2
220
219
218
2
115
101
8 8
APR
2
127
124
122
3
347
266
177
2
164
155
147
2
177
143
109
8
470
232
89
3
110
83
57
14
206
115
4 6
1
56
56
56
19
528
217
69
1 0
310
219
140
4
120
9 0
75
4
321
218
112
3
178
120
89
3
248
203
175
2
132
121
111
3
123
100
68
MAY
2
182
160
138
a
142
104
6 7
2
100
7 8
5 6
3
401
253
165
1 1
299
174
4 8
1
332
332
332
1 5
473
147
5 9
3
139
9 9
7 3
2 0
271
130
3 6
1 2
332
186
9 6
2
157
150
144
2
242
232
222
2
8 6
B 1
7 7
2
140
122
104
2
139
109
80
^
8 6
7 0
5 5
JUNE
3
159
131
114
1
6 4
64
64
2
173
118
64
2
196
190
185
1 0
292
145
30
3
121
9 8
8 4
17
135
8 5
42
2
123
9 5
6 7
16
209
107
4 1
11
269
-17 1
9 5
2
110
106
102
2
132
100
6 8
2
7 4
72
7 1
2
52
52
52
JULY
2
279
173
68
2
183
164
145
2
199
133
67
2
233
197
162
7
219
137
6 5
3
135
123
101
1 4
143
100
6 0
2
166
125
8 4
16
248
122
4 5
18
322
187
105
2
7 0
67
2
135
123
112
2
128
113
98
2
128
113
98
2
8 3
6 7
5 1
AUG
2
215
165
116
2
119
113
107
2
163
138
113
2
198
143
89
5
376
152
S 0
2
117
114
112
34
277
111
4 4
2
317
152
87
18
504
163
57
2 2
253
180
122
4
87
6 2
1
9 9
99
9 9
2
148
123
9 9
2
122
117
113
3
108
9 3
7 5
2
100
9 3
87
SEPT
2
78
6 6
55
2
159
156
153
1
198
198
198
2
129
103
77
5
314
144
76
1
68
68
68
38
249
115
4 1
2
166
95
2 5
1 3
298
185
76
1 9
332
217
107
5
O f\ ~t
6 \J J
125
92
4
265
147
50
2
106
105
105
2
170
158
146
1
121
121
121
3
82
8 1
8 1
OCT
3
398
267
105
3
825
160
122
2
124
133
122
2
164
127
90
1
146
146
146
3
169
113
58
18
292
122
64
3
197
139
79
19
418
158
1 2
1 6
537
336
104
3
1A T
^ J
117
70
2
255
168
83
2
189
158
137
3
85
7 5
6 5
3
148
89
51
3
93
72
6 2
NOV
2
136
102
69
2
116
102
88
2
255
183
110
2
1 17
110
103
3
156
93
46
17
183
IIS
45
2
87
67
47
14
375
148
50
13
250
165
99
4
•f Q 4
X 7 1
103
46
3
175
1 OO
53
3
143
109
92
1
113
112
1 12
2
131
112
94
2
159
108
58
DEC
— . •
2
343
230
117
2
349
183
117
2
189
134
79
3
220
163
115
2
68
64
61
1 5
282
150
56
2
231
139
48
9
389
125
27
9
375
378
196
2
1C 4
3 1
132
93
i
1«7
167
167
2
171
1«3
156
3
333
184
128
1
134
134
134
2
169
129
90
-------
TABLE 1. SUSPENDED PARTICULATE MATTER—URBAN STATIONS
IMICROGRAMS PER CUBIC METER)
35
STATION LOCATION
LITTLE ROCK ARK
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
N El ORLEANS LA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
BATON ROUGE LA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MUM
ALBUQUERQUE NM
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
TULSA OKLA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
FT • 0 R TH TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LAKEKORTH TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HOUSTON TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
BELLAIRE TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
DALLAS TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
SAN ANTONIO TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EL PASO TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
CORPUS CHRISTI TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
DENVER COL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
BOISE IDAHO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
HELENA MONTANA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
YEARS
57
54 57
57
57
5 7
53 56
53 55
53 57
53 56
57
57
57
57
54 57
57
57
JAN
2
108
7 6
4 5
1 9
159
8 0
3 4
2
358
335
212
3
5 3
4 4
4 0
6
291
155
7 5
4
87
5 0
3 B
1 2
291
123
3 8
7
508
218
0 2
S
9 2
6 9
46
2
67
62
5 7
3
369
357
155
2
111
9 2
7 3
10
344
179
75
7
181
137
108
2
205
117
30
FEB
2
4 2
3 8
3 4
1 7
204
9 5
4 4
3
163
130
112
2
281
215
149
1 2
327
167
76
5
513
173
55
1 3
299
143
75
4
120
9 1
58
2
9 5
8 3
7 1
3
181
163
154
2
266
174
8 2
2
4 8
4 1
35
1 0
235
110
3 7
4
102
88
7 4
2
3 9
33
2 8
MAR
2
139
99
5 9
1 9
249
8 9
3 9
2
280
214
148
3
208
173
145
2
268
184
101
1 5
2928
318
8 1
5
443
192
46
1 6
264
149
6 2
8
341
184
6 9
3
243
213
161
1
247
247
247
2
302
251
300
2
173
136
8 0
1 1
351
206
5 4
4
186
166
144
1
3 5
35
3 5
APR
3
97
79
63
19
214
98
46
2
162
116
70
1
80
80
80
10
1292
323
90
6
608
267
135
12
635
163
85
3
187
144
91
1
127
137
137
3
304
164
135
2
325
372
219
3
70
57
45
1 1
382
163
65
2
9 3
84
75
3
78
56
35
MAY
2
5 7
5 1
4 6
1 9
775
118
36
2
153
140
128
2
123
118
114
3
7 4
4 8
2 3
12
131
8 5
5 5
7
375
144
5 4
1 1
143
113
7 5
4
154
127
110
3
164
100
38
3
135
111
e a
2
613
358
104
3
6 4
5 3
4 3
1 1
318
115
1 5
3
9 4
7 8
5 2
3
134
9 7
57
JUNE
2
87
7 5
6 3
1 9
135
7 3
33
2
151
149
148
2
184
175
167
1
53
5 3
5 3
14
142
99
67
8
268
119
4 4
1 8
170
9 1
5 7
4
167
139
104
3
152
137
133
2
174
115
56
2
153
134
116
3
59
4 7
36
1 9
338
139
64
2
B 3
6 5
4 8
3
109
6 3
17
JULY
2
136
120
105
19
109
7 3
39
3
218
159
100
3
318
173
136
1 2
153
9 4
69
8
307
139
9 0
17
197
9 3
59
4
167
107
56
2
196
177
158
3
138
102
76
4
239
172
137
2
7 4
7 3
7 3
17
593
159
53
S
178
135
7 2
2
197
155
113
AUG
3
170
114
6 3
1 3
103
78
39
3
193
161
130
1
168
168
168
3
148
185
100
1 3
136
98
69
7
326
129
83
14
319
138
4 5
7
365
139
9 1
2
117
102
87
3
110
9 1
73
3
107
101
95
2
8 7
7 3
58
1 3
180
138
9 3
3
130
114
105
2
136
136
136
SEPT
3
126
94
63
2 1
164
77
26
1
181
181
181
2
365
306
148
1
80
80
80
1 4
331
125
4 6
5
348
155
56
1 5
893
165
68
5
312
134
108
2
116
109
108
3
105
98
93
3
198
154
108
3
78
64
52
1 3
348
144
78
a
187
106
85
2
466
410
355
OCT
2
135
109
83
15
239
99
47
3
316
351
138
2
199
193
186
2
138
95
53
14
310
116
35
3
166
94
4 4
18
893
147
9 3
7
196
123
36
2
45
3 1
1 8
3
130
101
68
8
313
809
106
1
114
114
114
10
335
175
9 3
3
131
11B
116
3
as
60
38
NOV
2
85
76
67
18
137
66
16
2
893
196
100
2
341
266
192
3
113
73
52
14
167
136
71
5
138
88
68
31
301
1 25
14
5
336
188
89
3
1 35
111
76
3
116
73
88
2
348
858
1«8
2
67
55
43
10
311
150
88
3
307
300
193
1
143
143
143
DEC
2
76
57
39
18
167
85
36
2
265
168
72
2
375
887
199
3
76
71
67
9
313
134
54
5
183
100
1 0
23
399
178
38
7
206
144
74
1
183
183
183
3
«30
341
52
S
305
303
301
3
86
64
50
8
339
221
134
1
79
79
79
3
86
53
1 7
-------
36
TABLE 1. SUSPENDED PARTICULATE MATTER—URBAN STATIONS
(MICROGRAMS PER CUBIC METER)
STATION LOCATION
SALT LAKE CITY UTAH
NUU6ER OF SAMPLES
MAXIMUM
A V E R A C E
Ml N 1 MU M
CHEYENNE i Y 0
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 MU M
ANCHORAGE ALASKA
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
PHOENIX ARIZ
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
LOS ANGELES CALIF
NUMBER Or SAMPLES
M A It 1 MUM
AVERAGE
Ml N 1 M U M
SAN FRANCISCO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
PASADENA CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 UU M
BERKELEY CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
SAN JOSE CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN LEANDRO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
SAN DIEGO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
BURBANK CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
SAN BERNARDINO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
HONOLULU HAWAII
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
LAS VEGAS NEVADA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PORTLAND OREGON
NUMBER OF SAMPLES
MAX! MUM
AVERAGE
Ml N 1 MU M
SEATTLE HASH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
53 57
57
53 57
57
54 57
55 57
53 57
54 55
54 57
55 56
57
57
57
56 57
57
53 57
57
JAN
1 2
405
243
68
2
7 2
6 0
4 9
8
242
118
65
2
358
327
297
2
142
136
131
6
177
104
4 5
9
442
213
6 5
4
118
B 0
4 4
11
249
142
3 1
5
286
122
4 6
2
150
108
6 7
2
297
169
4 1
1
3 5
3 5
3 5
2
7 7
5 5
3 4
1
163
163
163
1 8
200
110
3 4
3
236
165
115
FEB
461
273
125
2
47
3 9
3 1
1 1
210
9 7
2 4
2
258
214
170
3
371
320
257
5
9 6
60
4 5
1 3
401
167
8 4
6
271
171
86
1 1
191
120
2 1
3
112
85
3 9
2
143
100
5 8
2
185
132
79
2
317
214
112
2
8 3
68
54
2
237
183
129
1 4
199
9 9
27
2
446
253
6 0
MAR
6
425
205
a 6
2
5 2
4 2
3 2
9
196
8 8
2 2
2
205
176
147
7
372
272
102
6
6 8
56
46
1 7
574
176
58
5
172
89
4 2
1 4
231
106
4 1
4
174
118
6 3
2
95
7 2
50
3
176
126
9 1
2
108
9 4
8 1
2
87
7 2
58
2
184
154
125
3 1
343
9 2
3 3
1
120
120
120
APR
181
137
98
3
6 2
44
22
1 4
3112
589
62
2
421
322
224
6
350
241
109
5
156
105
4 3
18
240
128
42
8
247
85
36
12
136
83
27
4
155
103
34
2
88
60
32
2
179
152
126
2
182
157
133
3
76
5 1
38
4
468
235
128
13
243
123
26
2
55
50
46
MAY
264
129
7 4
1
28
2 8
2 8
1 1
1155
430
207
3
240
178
140
9
309
204
9 4
9
8 9
5 3
1 1
1 9
356
162
6 4
7
131
100
6 0
1 3
149
100
2 7
5
204
142
9 9
3
77
6 4
5 4
2
9 7
7 2
4 8
2
183
153
124
8
5 0
3 5
2 0
2
139
135
132
1 1
384
135
32
3
183
144
9 5
JUNE
201
184
5 4
3
62
56
4 5
13
853
387
173
2
200
159
119
4
255
212
186
8
117
8 5
54
12
228
174
119
15
101
68
4 4
1 3
174
105
4 5
1 3
224
147
111
1
55
55
55
2
120
111
103
3
336
287
260
1 1
38
3 1
27
3
163
132
117
1 2
205
115
5 6
2
127
9 4
6 2
JULY
1070
189
9 3
3
8 3
7 2
6 4
9
466
235
59
2
407
282
157
4
279
233
153
10
9 3
5 6
19
1 2
252
197
130
4
136
99
78
1 1
311
129
5 1
1 2
244
156
89
3
205
127
8 6
2
148
146
144
5
306
248
161
7
34
30
2 3
2
157
144
131
17
222
120
4 1
2
135
126
117
AUG
1 6
192
130
67
a
9 4
80
67
7
330
322
78
2
150
135
121
3
214
212
211
8
77
5 3
19
1 0
220
160
4 1
7
143
79
5 0
1 4
356
175
103
2 2
398
167
98
3
109
9 2
78
3
316
236
185
1
389
389
289
8
44
3 3
2 4
2
147
137
128
5 0
186
99
4 6
3
125
102
80
SEPT
1 0
391
154
58
a
130
95
60
1 3
684
357
63
3
353
239
325
1
243
342
343
8
106
51
38
9
366
196
133
9
166
95
60
1 4
338
164
57
1 7
633
301
69
1
101
101
101
1
165
165
165
1
470
470
470
5
38
3 3
2 9
3
160
151
135
38
310
125
4 4
3
167
117
77
OCT
8
210
153
95
a
7«
6 4
S3
8
1591
443
93
3
383
313
138
3
383
279
376
5
136
91
7S
11
598
353
79
7
190
93
3 1
1 3
233
147
8 3
1 3
320
154
88
3
97
86
76
3
184
174
165
1
336
336
336
4
45
38
29
3
133
121
130
37
483
333
58
3
147
131
115
NOV
g
333
196
72
3
61
43
23
14
306
1«4
45
2
302
384
366
3
361
358
89
6
146
103
47
8
369
181
69
5
298
96
36
13
399
124
37
13
331
176
73
3
157
133
89
4
433
386
163
2
453
386
330
6
72
51
35
a
346
150
54
26
633
384
38
1
SI
51
51
DEC
1 1
411
239
9 9
55
4 6
3 4
1 2
201
98
38
2
488
483
478
1
285
285
385
4
311
108
59
7
991
368
83
4
354
131
4 3
9
330
130
25
4
9 6
7 3
52
2
241
176
112
1
391
391
391
1
180
180
180
4
83
47
29
2
242
313
185
21
250
112
35
2
112
76
4 1
-------
TABLE 1. SUSPENDED PARTICULATE MATTER—SUBURBAN STATIONS
(MICROGRAMS PER CUBIC METER)
37
STATION LOCATION
MIDDLESEX CNTY MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LAKEHURST N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
KANAWHA CO W VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HILLSBOROUGH CO FLA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
FULTON CO GEORGIA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
HAMILTON COUNTY OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TONKA BAY MINN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
E D 1 N A MINN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
DENVER COUNTY COLO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SALT LAKE CO UTAH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
MULTNOMAH CNTY ORE
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MUM
YEARS
54 56
55 56
54 56
53 56
53 55
53 55
53 54
54 55
54 56
53 55
54 55
JAN
8
118
6 1
2 3
1 0
4 8
7 ^
2 7
4
263
101
2 1
1 1
5 2
3 4
2 1
5
7 2
5 3
4 1
6
135
5 9
2 2
3
5 8
5 1
4 0
3
136
0 8
5 0
8
170
7 9
2 8
6
135
7 9
5 0
FEB
9
7 7
5 2
1 i
1 0
7 0
224
1 9
6
309
176
5 8
8
123
5 7
2 U
8
109
6 6
3 5
8
118
6 3
4 5
4
7 7
5 0
2 2
3
9 4
6 9
5 3
7
106
5 6
2 8
2
128
9 8
6 8
1
4 0
4 0
4 0
MAR
9
104
5 1
2 5
4
6 4
9 6
5 1
3
109
b 2
6 7
1 1
8 5
5 4
2 5
1 0
9 8
7 4
2 8
1 2
176
8 7
2 0
4
8 1
7 4
7 0
5
208
9 7
57
1 0
145
7 6
2 0
4
9 9
7 3
4 0
1
8 4
8 4
ft 4
APR
8
4 7
3 4
2 1
8
6 3
147
3 1
5
232
123
4 6
1 1
9 8
4 5
2 2
1 0
116
6 5
2 8
3
103
7 1
4 5
4
267
118
28
4
189
128
6 4
8
199
103
4 6
3
5 4
4 7
36
1
4 0
4 0
4 0
MAY
9
112
5 0
3 6
5
5 1
6 4
2 6
8
294
143
5 4
8
5 7
3 5
9
6
107
6 3
3 3
5
8 4
5 7
3 9
4
7 8
5 9
3 4
4
272
191
135
8
172
7 2
2 2
4
207
8 4
3 7
2
9 1
5 9
2 8
JUNE
9
7 5
5 2
3 3
3
4 9
6 8
2 4
5
159
8 7
3 3
3
3 5
2 2
3
5
8 2
5 3
3 1
3
8 9
6 1
3 1
4
109
4 3
17
5
748
237
7 2
1 0
169
9 1
2 1
8
101
6 7
2 2
JULY
9
8 1
5 2
3 8
4
6 6
101
3 8
6
3 4 B
127
4 6
9
4 7
2 4
5
8
7 9
4 3
9
4
5 4
3 7
2 0
3
113
6 5
3 9
8
382
144
4 3
9
107
6 0
2 9
3
5 9
4 7
2 9
AUG
9
8 0
4 9
2 8
2
5 1
5 2
5 0
4
243
156
6 6
1 0
6 6
3 5
7
7
9 7
6 2
2 7
4
4 6
3 3
2 1
7
117
7 2
3 4
5
7 1
5 2
4 3
2
110
9 0
7 1
SEPT
B
9 1
6 8
4 8
4
5 1
7 6
3 0
8
219
118
5 6
9
4 9
2 7
1 1
3
8 1
7 5
6 6
4
59
4 8
3 2
4
4 8
2 4
1 3
8
108
6 3
2 2
3
140
8 3
3 6
2
115
7 8
4 1
OCT
1 3
2 0 b
7 8
3 3
1
3 0
3 0
3 0
5
152
8 1
4 5
8
5 0
3 6
1 8
4
8 7
5 2
3 1
4
3 4
2 5
1 5
4
5 4
2 9
1 2
8
120
6 8
4 1
2
3 7
3 3
3 0
6
122
103
8 3
NOV
1 1
6 0
4 3
2 3
3
6 5
9 7
4 9
7
249
8 2
4 1
7
6 9
4 9
2 5
2
8 0
6 9
5 9
7
228
9 6
2 5
6
1 4
6 5
2 8
1
9 9
9 9
9 9
6
116
7 7
4 5
5
1 6
7 1
3 9
4
140
116
9 9
DEC
6
5 6
3 4
2 3
3
7 6
120
4 3
5
421
178
4 9
1
9 2
5 3
1 7
4
7 5
5 b
4 5
7
214
106
34
4
4 b
3 5
2 9
5
9 3
6 8
37
8
106
5 4
1 5
5
240
7 7
27
-------
38
TABLE 1. SUSPENDED PARTICULATE MATTER-
IMICROGRAMS PER CUBIC METER)
-NONURBAN STATIONS
STATION LOCATION
LITCHFIELO CNTY CONN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ACADIA NATNL PARK ME
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
WORCESTER COUNTY MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SHENANDOAH PARK VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HOLLY RIVER PK W VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
FLORIDA KEYS FLORIDA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
OATLAND ISLAND GA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
JACKSON COUNTY MISS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
FT DONELSON TENN
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
SANGAMON COUNTY ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HURON COUNTY MICH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ELLIS COUNTY KANSAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
COOK COUNTY MINN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SHANNON COUNTY MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PT WORONZOF ALASKA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
GRAND CANYON ARIZ
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
WAIMANOLO HAWAII
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
54 56
57
5 7
5 7
5 7
5 7
5 7
5 7
5 7
5 7
5 7
5 7
57
5 7
55 57
5 7
57
JAN
5
5 4
3 3
9
3
5 1
4 B
4 6
2
3 0
2 6
2 3
FEB
7
187
6 5
1 9
2
2 4
1 7
1 0
3
1 1
9
7
2
3 7
3 7
3 7
MAR
B
56
3 7
1 8
1
3 9
3 9
3 9
1
7 5
7 5
7 5
2
4 2
3 3
2 5
6
129
3 5
1 1
2
4 0
3 8
3 6
APR
9
8 5
3 9
9
2
35
2 7
2 0
1
6 0
6 0
6 0
2
37
3 5
3 4
1
4 2
4 2
4 2
5
34
18
B
2
4 0
37
3 5
MAY
8
208
5 9
2 0
2
4 4
4 2
4 1
3
5 3
3 6
2 8
2
3 9
3 3
2 8
2
4 1
3 9
3 7
2
7 1
5 9
4 7
1
6 5
S 5
6 5
2
6 0
4 6
3 2
1
1 8
1 8
1 8
3
139
8 9
3 4
7
120
4 3
1 1
2
3 5
3 0
2 6
JUNE
9
8 8
4 4
2 6
1
102
102
102
4
3 8
3 0
2 1
3
7 6
4 4
2 8
2
4 3
4 0
37
2
3 6
3 2
2 8
2
6 4
6 2
6 0
4
8 0
4 6
3 1
1
4 0
4 0
4 0
2
8 2
5 1
2 1
4
2 5
15
1 1
2
3 9
3 2
2 6
2
2 6
25
2 5
JULY
8
6 6
4 5
3 2
3
5 0
3 6
2 8
5
6 9
5 8
4 8
3
5 6
4 8
3 9
4
5 0
4 0
2 7
2
5 6
5 1
4 6
3
3 7
3 0
2 2
2
6 6
6 5
6 4
4
7 2
5 4
2 7
2
6 1
5 8
5 5
1
202
202
202
5
158
5 8
1 3
3
3 8
2 4
17
2
3 4
3 1
28
AUG
5
6 0
4 2
2 8
2
2 8
2 7
26
4
7 4
6 3
5 2
3
4 2
38
3 5
4
5 6
S 3
4 7
1
2 5
2 5
2 5
2
5 3
5 3
5 3
4
5 0
4 1
2 7
2
7 9
5 7
3 5
2
8 2
6 9
S 7
4
4 4
3 4
2 4
2
103
9 5
8 7
3
157
9 2
2 3
1
4 1
4 1
4 1
6
106
3 2
8
3
6 1
2 6
8
2
3 1
3 0
2 9
SEPT
2
2 7
2 5
2 4
2
3 7
3 6
3 5
4
5 7
4 9
4 0
3
3 8
2 6
2 1
4
2 8
2 2
1 5
4
4 7
3 0
1 3
1
2 2
2 2
2 2
3
3 1
2 5
1 7
2
4 8
4 4
4 1
2
97
8 1
6 5
4
132
5 7
1 6
1
2 6
2 6
2 6
2
118
8 2
4 7
4
5 7
4 2
2 1
5
6 8
2 8
1 3
4
2 7
1 8
1 3
2
4 7
3 9
3 2
OCT
4
3 6
2 0
8
1
3 3
3 3
3 3
3
7 7
6 2
4 9
3
3 0
2 7
2 5
3
4 0
2 9
1 9
3
3 9
2 3
1 1
3
130
7 4
4 4
5
7 1
4 3
1 6
2
4 8
4 0
3 3
1
122
122
122
5
111
4 3
5
2
2 3
2 1
19
4
7 5
4 4
2 3
5
6 5
3 1
5
5
1 6
1 0
6
2
6 6
58
5 1
MOV
1
3 3
3 3
33
3
S 2
39
28
5
9 4
70
3 7
4
4 1
25
14
3
2 9
2 0
13
3
2 9
2 0
10
2
32
3 0
29
3
4 4
3 1
23
2
5 5
4 9
4 3
2
113
78
4 4
4
7 9
4 0
15
2
34
2 6
1 9
4
32
2 4
13
7
295
7 9
17
4
1 5
8
5
2
8 4
8 1
7 9
DEC
5
34
2 9
2 2
2
4 1
36
3 1
3
72
5 8
4 6
2
3 7
2 9
22
2
1 9
1 7
1 6
3
4 6
31
20
2
36
33
3 0
5
223
64
2 0
1
38
3 8
3 8
1
5 9
S 9
5 9
4
3 3
2 1
1 2
2
3 7
32
2 8
2
1 9
1 8
1 7
5
4 1
30
25
7
4 0
2 4
1 3
5
2 0
1 1
3
1
8 5
8 5
8 5
-------
TABLE 2. ACETONE SOLUBLE ORGANIC MATTER—URBAN STATIONS
39
STATION LOCATION
WATERBURY CONN
BOSTON MASS
EVERETT MASS
PROVIDENCE R 1
ATLANTIC CITY N J
HIGHTSTOWN N J
GLEN GARDNER N J
RED BANK N J
ELIZABETH N J
PAULSBORO N J
CAMDEN IM J
PERTH AM BOY N J
TRENTON N J
JERSEY CITY N J
NEW YORK N Y
PHILADELPHIA PA
BRISTOL PA
CHESTER PA
WASHINGTON DC
LOUISVILLE KY
SITE
1
1
1
1
3
i
i
i
i
i
i
i
i
i
i
2
2
2
2
3
3
3
3
4
4
4
1
1
1
1
2
2
2
3
3
3
3
4
5
1
1
1
1
2
1
2
3
YEARS
54 55
54 55
54 55
54 55
54 55
54 55
54 55
54 55
54 55
54 55
5 5
5 5
5 5
5 5
5 5
54 55
5 3
5 4
5 5
53 55
5 3
5 4
5 5
53 55
5 4
5 5
54 55
5 3
5 4
5 5
53 55
5 3
5 4
5 5
53 55
54
5 5
54 55
5 3
5 4
5 5
53 55
5 5
5 5
5 3
5 4
5 5
53 55
5 5
5 5
3
4
S
3 55
4 55
4 55
4
4
5
4 55
No. OF
SAMPLES
3 2
3 6
3 b
2 3
2 3
4 6
1 7
1 0
1 2
9
b
1 0
b
1 1
6
1 4
3
2 9
2 3
5 4
2
2 3
2 2
4 b
1
1 4
1 5
6
5 3
5 b
117
b
7 5
131
214
6
1 b
2 4
6
2 6
1 4
4 6
6
7
1 4
107
176
397
8
7
1 0
3 4
2 1
6 5
3 0
1 5
5
4 0
1 0
5 0
(M1CROGRAMS PER CUBIC METER) x 10-'
MIN
6 2
b 0
5 1
107
5 9
5 9
6 4
5 5
4 2
9b
7 9
102
133
2 b
100
112
550
130
9 1
9 1
9 0
4 5
2 1
2 1
375
S 0
5 0
113
4 5
2 1
2 1
136
6 9
5 5
5 5
379
230
230
7 6
2 4
7 1
2 4
207
7 3
7 6
2 4
5 5
2 4
5 4
9 9
180
6 5
6 3
6 3
4 4
6 1
H 2
4 4
7 2
4 4
MAX
418
455
680
463
367
463
334
157
175
298
291
309
391
375
201
598
970
730
514
970
266
512
333
512
3-7 5
384
384
970
730
514
970
690
1340
919
1340
1176
765
1176
760
750
359
760
959
121
760
1340
959
1340
220
296
955
456
403
955
685
579
311
685
323
685
AVG
177
227
176
2^6
144
195
225
114
104
171
188
193
237
150
143
261
709
332
247
319
156
192
136
166
375
162
176
477
271
184
239
400
289
248
268
758
442
521
330
202
175
211
392
9 8
370
294
261
278
137
152
455
218
201
249
212
194
149
207
175
300
FREQUENCY DISTRIBUTION— PERCENT
10
8 5
110
9 0
125
6 4
7 6
9 8
6 4
4 6
9 8
9 0
106
137
28
106
112
175
106
162
8 1
3 9
7 6
5 4
64
125
106
7 6
8 8
137
139
128
131
401
232
232
7 6
7 6
7 6
7 6
207
7 6
7 6
114
118
116
5 4
9 8
207
110
7 6
112
8 1
8 1
9 0
8 1
7 6
80
20
9 8
121
109
166
7 6
9 0
106
7 6
6 4
106
148
133
148
9 5
106
125
558
214
162
183
9 0
106
7 6
9 0
9 0
9 0
125
140
9 7
112
148
159
158
159
401
288
314
7 6
98
106
102
207
7 6
137
148
151
149
9 8
9 8
226
125
125
133
116
8 5
9 0
9 0
9 0
90.
30
128
1 6 b
119
191
8 3
116
148
90
90
116
148
140
148
101
133
162
558
237
180
207
90
116
95
106
9 8
106
288
180
110
138
148
180
185
184
608
314
355
125
116
137
121
244
8 1
148
168
179
173
98
106
244
142
148
160
137
106
106
125
133
128
40
137
196
134
212
9 0
148
244
112
9 5
125
175
148
207
106
133
191
558
259
191
238
9 0
137
106
118
116
116
288
212
137
172
371
212
210
212
608
360
401
125
125
153
148
244
8 5
371
197
209
207
106
116
288
175
162
191
155
137
106
143
140
142
50
145
223
151
228
106
175
259
119
101
175
1 b 6
175
219
125
140
207
658
2 b 1
202
268
125
175
119
137
401
125
137
401
239
163
200
401
232
228
230
658
401
449
207
166
159
165
288
90
401
223
229
228
125
125
437
218
191
221
175
175
137
168
148
164
60
175
244
165
239
125
219
266
125
106
175
196
191
232
137
148
226
658
314
244
305
125
191
137
168
401
137
148
558
266
187
237
473
255
246
251
776
449
558
437
191
164
188
340
9 0
425
244
251
253
162
125
473
233
216
238
207
186
137
194
175
191
70
207
263
186
305
162
236
281
137
116
219
207
207
244
148
148
314
658
401
273
401
125
226
157
196
401
226
244
558
323
216
275
558
303
271
282
776
558
658
437
207
175
214
340
112
473
301
280
292
175
148
558
257
235
266
229
207
148
222
207
219
80
244
288
216
340
226
301
301
148
148
232
207
288
244
244
175
340
658
455
401
452
125
266
191
232
4 0 1
244
266
658
401
262
349
S 5 B
371
304
332
081
658
70S
473
244
226
266
401
119
558
401
330
367
175
207
658
275
266
352
301
244
148
305
244
298
90
2 b 8
340
266
401
2 b 8
355
314
Ib2
162
244
2 b 8
314
371
2b 8
175
608
Obi
558
449
558
2 b 8
401
2 i 4
305
401
2 b 8
371
658
501
340
455
658
530
3 d 1
457
Obi
717
7 7 t
473
340
2 b 8
425
401
119
717
591
432
511
207
207
776
3d 1
371
444
340
401
340
381
314
360
-------
40
TABLE 2. ACETONE SOLUBLE ORGANIC MATTER—URBAN STATIONS
STATION LOCATION
CHARLESTON «V VA
TAMPA FLA
ATLANTA G A
CHATTANOOGA TENN
CHICAGO ILL
EAST CHICAGO IND
DETROIT MICH
CINCINNATI OHIO
KANSAS CITY KANSAS
MINNEAPOLIS MINN
SITE
1
4
1
1
1
1
1
1
1
1
2
1
8
3
4
1
1
1
2
2
2
3
4
4
4
1
2
3
4
1
1
1
1
1
2
2
a
2
3
j
3
3
4
4
4
1
1
1
1
1
YEARS
53 54
54 55
53 55
5 3
5 4
5 5
53 55
5 3
5 4
5 5
53 55
5 4
5 3
5 4
5 5
53 55
54 55
54 55
5 5
5 5
5 4
5 5
54 55
5 4
5 5
54 55
5 4
5 5
54 55
5 4
54
5 5
54 55
5 4
5 5
54 55
5 5
5 5
5 5
5 5
5 5
53 54
5 3
5 4
5 5
53 55
5 3
5 4
5 5
53 55
5 3
5 4
5 5
53 55
5 4
5 5
54 55
5 3
5 4
5 5
53 55
5 5
5 3
5 4
5 5
53 55
No. OF
SAMPLES
3 6
2 3
5 9
5
4 4
2 1
7 0
2
4 2
4 3
8 7
b
2
5 0
4 3
9 5
2 0
4 2
1 1
1 3
4 2
4 4
8 6
3 1
2 3
b 4
3 3
2 6
o 9
3 8
7
4 4
5 1
109
9 3
202
8
9
5
5
2 7
5 1
1 8
8 8
2 2
128
4
5 9
5
6 8
3
7 0
1 2
8 5
4 1
1 0
b 1
2 5
258
4 9
332
1 3
9
4 8
2 5
8 2
(MICROGRAMS PER CUBIC METER) x 10-'
MIN
6 0
123
6 0
103
3 2
2 5
2 5
197
7 3
7 3
7 3
2 8
197
2 8
7 3
2 8
9 9
4 6
5 3
113
4 6
4 B
4 6
8 9
136
8 9
179
183
179
2 9
4 B
4 3
4 3
2 9
4 3
2 9
8 6
6 7
3 5
106
3 5
106
199
2 9
9 5
2 9
5 3
2 1
174
2 1
166
3 5
10-3
3 5
6 9
7 0
6 9
5 3
2 1
7 0
2 1
113
6 6
5 0
7 5
5 0
MAX
625
567
625
239
377
312
377
275
728
475
728
272
275
72 B
475
728
727
509
349
543
509
727
727
1071
1156
1156
1409
1090
1409
B 2 0
518
601
601
1409
1156
1409
725
558
207
339
725
1045
1430
806
735
1430
847
623
366
847
980
720
362
980
891
367
891
1430
891
735
1430
388
675
376
494
675
AVG
259
257
258
146
137
177
150
236
233
217
225
148
236
219
217
219
329
187
175
248
224
231
228
368
390
377
523
462
496
209
311
265
271
356
351
354
386
339
139
219
294
502
486
267
323
307
324
208
251
218
455
196
199
206
293
189
272
456
238
258
258
213
220
148
179
166
FREQUENCY DISTRIBUTION — PERCENT
10
125
125
125
106
6 4
5 4
67
116
9 0
109
2 3
106
9 0
101
125
6 9
5 4
125
7 6
7 6
7 9
125
162
157
207
288
244
101
5 4
106
106
113
131
119
90
7 0
3 9
106
7 6
262
244
125
175
139
9 3
175
9 3
7 9
106
84
119
7 6
119
175
9 7
131
101
125
7 6
7 0
7 3
7 1
20
155
148
151
106
7 9
106
8 7
140
129
133
6 4
131
129
130
191
8 0
9 0
175
9 5
116
106
196
244
207
288
309
301
114
5 4
133
133
164
175
168
125
7 6
3 9
106
106
305
388
159
207
175
5 4
112
175
116
175
9 7
125
102
155
137
148
219
124
162
132
175
9 0
8 2
ej
8 1
30
186
1 6 i^
172
116
90
148
100
207
179
144
162
6 4
207
162
144
156
226
106
106
191
140
153
148
226
288
244
340
340
340
122
244
159
164
197
226
204
125
244
125
148
148
352
305
182
235
207
5 4
132
207
135
175
117
148
128
180
148
171
266
150
187
160
180
106
9 5
98
9 £
40
211
175
207
116
101
162
113
207
193
175
188
106
207
185
175
183
288
131
162
207
162
175
166
259
305
293
386
381
392
148
266
188
194
233
278
253
340
340
125
148
196
413
340
213
259
235
175
151
207
155
175
141
183
148
198
162
191
305
172
207
185
186
137
114
106
SO
228
219
226
125
114
186
133
207
207
207
207
148
207
201
207
203
323
152
186
244
186
201
195
314
331
319
473
437
452
175
288
219
244
279
318
300
401
401
175
207
301
482
371
241
288
261
175
169
244
173
244
162
191
170
226
175
215
355
202
226
215
196
148
129
155
60
244
241
125
130
207
157
207
237
232
234
175
207
229
232
231
360
167
196
259
244
226
235
355
355
348
558
494
509
193
288
262
275
340
358
350
473
401
175
207
327
530
401
264
340
286
175
191
244
202
244
191
199
199
266
207
236
386
233
240
242
202
148
148
168
156
70
298
303
175
155
226
180
207
259
266
263
207
207
256
266
261
401
226
207
273
288
266
277
401
386
393
608
537
576
219
401
323
340
419
417
418
516
473
191
314
401
608
473
286
381
345
244
235
340
244
244
228
207
229
340
219
305
473
270
305
SB A
207
244
186
244
199
80
340
371
175
186
244
218
288
283
305
294
207
288
276
305
285
449
288
226
288
371
314
340
494
473
487
658
598
631
259
516
401
419
516
494
511
516
501
191
314
490
709
717
350
449
401
244
301
340
309
244
270
244
270
425
233
386
776
326
366
356
244
288
218
273
240
90
4 <1 9
473
461
244
259
288
262
2 a 8
340
371
340
266
288
323
371
340
516
401
244
340
430
473
425
558
658
658
916
638
747
425
516
516
516
658
602
625
558
530
207
340
52 4
811
846'
459
516
524
916
386!
401
389
1 0 B 1
340
371
371
558
244
516
916
437
425
460
340
340
244
371
283
-------
TABLE 2. ACETONE SOLUBLE ORGANIC MATTER—URBAN STATIONS
41
STATION LOCATION
KANSAS CITY MO
NEW ORLEANS LA
FT WORTH TEXAS
LAKEWORTH TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
DENVER COL
SALT LAKE CITV UTAH
ANCHORAGE ALASKA
LOS ANGELES CALIF
PASADENA CALIF
BERKELEY CALIF
SAN JOSE CALIF
SAN LEANDRO CALIF
PORTLAND OREGON
SITE
1
2
3
4
1
1
1
2
2
2
3
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
3
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
3
3
3
4
5
YEARS
53 54
54 55
53 54
5 5
53 55
54
5 5
54 55
54
5 5
C A C C
3 *f DO
5 5
54
55
c A R R
O ** DO
5 3
54
55
53 55
5 3
54
55
53 55
5 3
54
55
53 55
5 3
54
5 5
53 55
54 55
5 3
5 4
55
53 55
53
54
5 5
53 55
54
53
54
5 5
53 55
54 55
54 55
55
5 3
54
5 5
53 55
54
55
54 55
5 3
5 4
53 54
5 4
54
53
54
5 5
53 55
No. OF
SAMPLES
9
3 0
2 3
1 1
7 3
2 6
1 8
4 4
2 9
2 4
5 3
5
5 5
4 7
1 n p
J. U G
3
4 0
3 0
7 3
1
32
2 5
5 8
1 1
5 6
3 0
9 7
2
2 2
1 7
4 1
49
2
2 9
2 2
5 3
1 0
4 8
2 5
8 3
2 0
7
2 5
2 3
5 5
6 0
5 0
1 1
1 6
3 6
1 3
6 5
3 0
1 6
4 6
1
6
7
1 0
1 0
1 7
9 2
29
138
(MICROGRAMS PER CUBIC METER) x Ifr'
MIN
4 4
8 0
2 2
1 6
1 6
96
4 1
4 1
4 8
1 4
1 4
101
4 8
1 4
1 4
133
32
1 6
1 6
98
3 4
9
9
5 3
6
2 6
6
6 2
56
4 4
4 4
6 5
158
7 0
103
7 0
182
4 0
3 9
3 9
181
361
810
150
ISO
4 1
3 2
9 4
3 8
6 5
7 4
3 8
8 2
7 2
7 2
4 0
1 0
1 0
277
353
38
1 0
7 3
1 0
MAX
424
458
223
109
458
423
357
423
541
233
R A 1
O 4 1
269
541
357
C J 4
O 4 1
392
370
392
?9 2
98
366
134
366
1150
619
573
1150
317
311
218
317
440
270
932
929
932
670
1000
466
1000
1433
1730
1429
1177
1730
1030
849
206
1020
1132
433
1132
966
434
966
1040
146
1040
2356
1026
1040
2356
434
8356
AVG
167
191
114
5 6
143
163
196
177
130
113
122
160
146
150
148
224
143
136
143
9 8
112
7 8
9 4
342
177
174
195
189
138
114
130
170
814
861
300
875
388
253
192
251
531
861
575
358
531
242
185
149
401
336
308
386
339
171
274
L 0 4 0
6 6
305
L 4 1 8
559
439
458
188
399
FREQUENCY DISTRIBUTION— PERCENT
10
4 6
101
4 6
17
4 6
106
59
90
5 1
64
5 2
106
57
64
C Q
o y
6 1
59
60
44
38
4 1
54
70
7 6
7 S
70
64
6 4
83
90
116
101
207
114
90
110
326
371
314
166
319
76
6 4
106
54
116
76
83
98
90
95
10
10
388
259
5 4
90
8 1
84
20
9 0
139
68
2 4
7 4
119
90
119
57
7 6
6 6
106
8 1
78
7 9
1 37
83
7 2
8 1
5 1
46
5 1
125
8 3
9 5
9 0
9 0
6 8
7 4
103
185
130
130
305
131
116
132
388
371
352
216
266
112
8 3
116
125
140
9 0
134
140
106
119
10
10
401
273
125
139
106
130
30
106
140
76
3 3
98
131
133
131
70
8 2
"7 R
f a
137
99
9 0
Q R
y o
137
96
90
97
6 6
59
6 8
175
101
113
109
6 4
103
76
9 3
125
175
143
143
143
323
158
140
154
401
401
389
235
347
130
110
135
244
168
148
175
191
119
140
1 7
1 7
473
288
244
189
135
168
40
125
153
90
39
109
137
148
142
8 5
9 0
8-7
f
137
114
106
137
110
125
116
7 8
6 6
69
307
125
133
140
64
112
106
106
139
175
162
175
162
340
171
153
171
449
473
437
266
381
143
138
133
340
196
183
302
316
125
184
17
38
376
340
360
338
143
305
50
137
170
113
5 4
131
145
307
153
98
98
Q Q
y O
148
133
134
148
125
142
135
106
8 3
72
75
344
158
155
165
6 4
135
125
135
159
175
181
207
189
371
189
166
191
487
658
516
340
433
163
145
148
381
839
199
244
344
140
307
8 1
8 B
76
506
401
401
366
184
348
60
137
186
135
70
146
159
244
171
106
106
148
143
145
148
143
159
151
106
112
76
88
288
179
175
184
6 4
137
130
135
179
175
194
288
344
401
207
175
813
516
658
558
401
459
199
160
168
435
373
807
298
288
186
238
1081
r 76
76
L 9 37
658
425
330
193
305
70
148
203
140
7 6
168
170
366
301
137
133
175
160
175
1 f\ ~*i
J. t> J
148
175
175
175
106
133
8 7
114
371
196
194
205
6 4
148
139
145
196
175
244
314
298
437
244
199
377
544
916
633
423
541
344
175
175
449
340
866
386
360
196
288
1081
76
137
8097
776
473
432
207
394
80
175
359
163
90
193
191
277
251
162
148
157
175
175
235
202
148
207
194
200
106
175
111
130
401
266
226
268
340
186
148
168
219
888
371
401
360
473
388
844
350
717
1643
717
442
638
340
319
186
658
455
388
446
437
326
381
1081
137
148
3323
916
717
737
866
473
90
340
314
196
106
273
307
340
888
388
307
326
388
273
270
272
401
337
836
339
106
199
135
175
658
323
288
350
340
307
162
307
859,
268
608
717
658
5 S 8
473
381
459
916
1642
1276
473
1179
473
340
196
717
776
340
737
776
244
473
1081
137
148
2348
999
776
1057
333
971
-------
42
TABLE 2. ACETONE SOLUBLE ORGANIC MATTER— URBAN STATIONS— TOTALS
STATE OR REGION
CONNECTICUT TOTAL
MASSACHUSETS TOTAL
RHODE ISLAND TOTAL
NEW JERSEY TOTAL
NEW YORK TOTAL
PENNSYLVANIA TOTAL
DIS COLUMBIA TOTAL
KENTUCKY TOTAL
WEST VIRGINA TOTAL
FLORIDA TOTAL
GEORGIA TOTAL
TENNESSEE TOTAL
ILLINOIS TOTAL
INDIANA TOTAL
MICHIGAN TOTAL
OHIO TOTAL
KANSAS TOTAL
MINNESOTA TOTAL
MISSOURI TOTAL
LOUI SIANA TOTAL
TEXAS TOTAL
COLORADO TOTAL
UTAH TOTAL
ALASKA TOTAL
CALIFORNIA TOTAL
OREGON TOTAL
NEW ENGLND TOTAL
MID ATLNTC TOTAL
MID EAST TOTAL
SOUTH EAST TOTAL
MID WEST TOTAL
GRT PLAINS TOTAL
GULF SOUTH TOTAL
ROCKY MNTN TOTAL
PAC COAST TOTAL
GRAND TOTAL
YEARS
54 55
54 55
54 55
54 55
53 55
53 55
53 55
54 55
53 55
53 55
53 55
54 55
54 55
55
53 54
53 55
5 5
53 55
53 55
54 55
53 55
54 55
53 55
53 55
53 55
53 55
54 S 5
53 45
53 55
53 55
53 55
53 55
53 55
53 55
53 55
53 55
No. OF
SAMPLES
3 2
7 7
4 6
105
117
312
6 5
5 0
6 3
7 0
9 5
8 6
308
2 7
5 b
338
1 3
8 6
7 3
102
269
4 9
5 3
9 2
196
140
155
534
1 7 b
251
619
173
371
102
4 2 b
2811
(MICROGRAMS PER CUBIC METER) x 10'
MIN
6 2
5 1
5 9
2 b
2 1
8 4
6 3
4 4
6 0
2 5
2 b
4 6
2 9
3 5
47
2 1
113
2 6
1 6
1 4
6
6 5
7 0
1 b
3 8
1 0
5 1
2 1
4 4
3 5
2 1
1 6
6
6 5
1 0
6
MAX
418
680
463
598
970
1340
9-5 5
685
2340
377
788
727
1409
725
1045
1430
388
675
458
S 4 1
O *t J.
1150
440
932
1000
1730
2356
680
1340
955
788
1430
675
1150
932
2356
8356
AVG
177
196
195
183
839
272
849
200
898
150
219
288
354
294
502
258
213
166
145
148
149
170
275
235
330
399
192
855
838
802
311
160
149
825
338
249
FREQUENCY DISTRIBUTION— PERCENT
10
8 5
9 0
7 6
88
111
112
B 0
185
67
101
7 9
119
7 6
868
101
185
7 1
4 6
C Q
3 y
57
e 3
101
76
9 3
8 4
84
103
9 0
78
109
67
S 7
9 2
8 5
8 2
20
9 8
109
9 0
106
112
148
133
9 0
151
87
130
106
168
106
305
133
175
8 1
7 4
7 9
7 1
103
130
114
126
130
103
189
130
103
147
8 1
7 3
114
124
111
30
128
123
116
126
138
169
160
128
172
100
156
148
804
148
352
160
180
9 8
92
9 5
8 7
125
143
141
149
168
123
158
151
128
180
100
9 0
134
149
137
40
137
153
148
152
178
800
191
142
207
113
183
166
253
196
413
185
186
114
112
106
139
162
163
174
205
145
185
175
156
814
119
107
148
180
163
50
145
171
175
144
800
224
221
164
286
133
203
195
300
301
482
215
196
134
131
186
159
189
182
221
848
168
214
209
181
853
139
188
173
216
193
60
175
202
219
189
237
847
338
191
241
157
231
235
350
327
530
242
202
158
146
146
179
244
208
305
305
204
239
230
808
308
161
146
193
277
826
70
307
231
236
814
275
885
266
219
303
180
261
277
418
401
608
284
207
199
172
163
172
196
298
255
397
394
230
878
264
244
363
188
170
223
365
271
80
344
864
301
270
349
357
358
298
371
218
285
340
511
490
709
356
244
240
196
202
200
219
360
350
473
403
263
342
331
282
452
226
200
888
452
344
90
208
323
355
31 0
455
501
444
360
461
262
340
425
625
524
811
460
340
2b 3
277
272
270
259
658
449
6 b 8
348
464
440
354
500
2b 1
270
401
709
469
-------
TABLE 2. ACETONE SOLUBLE ORGANIC MATTER—SUBURBAN AND NONURBAN STATIONS
43
STATION LOCATION
SUBURBAN
MIDDLESEX CNTY MASS
LAKEHURST N J
KANAWHA CO W VA
HILLSBOROUGH CO FLA
FULTON CO GEORGIA
HAMILTON COUNTY OHIO
TONKA BAY MINN
E D 1 N A MINN
DENVER COUNTY COLO
SALT LAKE CO UTAH
MULTONMAH CNTY ORE
GRAND TOTAL
NONURBAN
LITCHFIELD CNTY CONN
SITE
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
1
1
1
1
1
1
YEARS
5 4
5 5
54 55
5 5
5 4
5 5
54 55
5 3
5 4
5 5
S3 55
5 3
S 4
5 5
53 55
5 3
5 4
5 5
53 55
5 3
54
53 54
5 4
5 5
54 55
5 4
5 5
54 55
5 3
54
5 5
53 55
54 55
53 55
5 4
5 5
54 55
No. OF
SAMPLES
1 1
2 5
3 6
2 2
2 6
1 5
4 1
4
3 7
1 9
6 0
2
4 2
2 0
6 4
6
5 5
6
6 7
7
3 7
4 4
6
2 3
2 9
2 1
2 2
4 3
1
2 7
2 0
4 8
1 7
471
5
1 7
2 2
(MICROGRAMS PER CUBIC METER) x Ifr'
MIN
5 1
1 8
4 8
2 5
5 6
6 7
5 o
7 9
1 2
1 5
1 2
6 6
2 4
3 1
2 4
133
3 3
7 1
3 3
4 5
4 1
4 1
6 5
1 7
1 7
3 0
1 9
1 9
138
2 3
2 4
2 3
5 0
1 2
1 7
9
9
MAX
153
247
847
520
357
252
257
149
220
482
482
159
222
301
301
388
355
138
388
243
630
630
178
349
349
141
153
153
138
355
211
355
451
630
8 1
103
102
AVG
103
9 5
9 7
101
134
155
141
110
8 1
137
101
112
106
9 6
103
226
122
104
130
9 9
102
102
114
105
107
7 8
8 1
8 0
138
8 9
8 3
8 8
186
103
5 0
5 6
5 5
FREQUENCY DISTRIBUTION— PERCENT
10
5 4
S 4
54
4 6
7 6
7 6
7 3
4 3
4 6
4 4
5 0
3 3
4 7
133
39
7 6
4 3
4 3
4 4
4 3
7 6
2 0
3 5
3 9
2 6
3 1
3 5
4 3
37
7 6
4 3
17
17
16
20
6 4
6 1
6 2
5 4
8 3
106
B 7
8 3
4 8
6 4
5 S
5 9
S 0
5 7
133
50
7 6
5 3
4 3
4 8
4 8
7 6
3 8
3 9
4 6
33
4 4
3 9
4 8
4 6
9 0
5 3
17
2 8
2 8
30
7 0
76
73
7 2
95
135
102
8 3
53
76
6 0
7 6
7 6
59
6 8
140
6 4
9 8
71
4 6
5 6
5 4
90
4 9
5 4
54
57
56
4 9
5 2
51
101
6 4
3 3
4 1
4 0
40
7 6
8 1
8 0
78
106
131
116
9 0
6 0
112
6 9
7 6
y 0
7 0
8 2
140
7 9
9 8
9 0
5 4
6 4
6 4
9 0
54
8 3
6 1
6 4
6 2
57
5 7
57
125
7 7
3 3
4 4
4 3
50
106
8 B
8 8
8 3
120
143
131
9 0
6 8
125
7 9
7 6
9 8
8 1
9 3
148
9 8
106
109
7 0
78
7 4
106
9 0
9 4
7 6
8 1
7 8
148
6 8
6 2
6 4
175
8 9
4 6
6 4
4 6
60
125
9 5
102
8 8
137
148
142
9 0
7 4
137
106
7 6
106
9 0
103
207
120
116
128
7 0
8 4
8 2
125
101
103
8 5
9 0
8 8
148
76
7 0
7 6
207
106
4 6
6 7
6 7
70
137
112
116
9 5
148
207
159
148
9 0
157
128
7 6
135
106
122
307
148
116
145
7 6
9 8
9 8
125
125
125
9 8
101
100
148
9 B
9 0
106
266
126
8 3
7 3
7 3
80
148
125
134
112
168
226
307
148
131
175
148
175
148
125
144
371
199
125
201
207
125
135
148
148
148
112
131
116
148
125
125
125
305
146
8 3
8 3
8 3
90
162
148
148
125
226
366
344
175
148
336
171
175
188
175
186
371
255
125
255
207
175
196
148
244
207
125
142
137
148
140
162
148
323
202
9 0
9 0
90
486455 O -58 -4
-------
44
TABLE 2. ACETONE SOLUBLE
(MICROGRAMS PER CUBIC METER) x 1O'
ORGANIC MATTER—URBAN STATIONS
STATION LOCATION
WATERBURY CONN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
BOSTON MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EVERETT MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NEW YORK N Y
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
PHILADELPHIA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
WASHINGTON DC
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N | M U M
LOUISVILLE KY
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
CHARLESTON « v A
NUMBER OF S-AMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TAMPA FLA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
ATLANTA G A
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
CHATTANOOGA TENN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
CHICAGO ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EAST CHICAGO IND
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DETROIT MICH
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
CINCINNATI OHIO
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
YEARS
54 55
54 55
54 55
53 55
53 55
53 55
54 55
53 55
53 55
53 55
54 55
54 55
5 5
53 54
53 55
JAN
3
271
196
133
4
455
3 7 d
304
4
268
314
141
1 1
390
196
9 3
2 5
340
335
5 5
4
456
303
138
2
141
111
0 1
2
559
349
140
a
312
305
127
1 1
449
235
5 6
1 7
543
199
4 B
1 3
1 5 o
403
4 3
1 9
617
262
7 0
FEB
3
418
344
216
3
366
243
211
5
230
185
138
1 0
300
308
103
3 3
773
386
8 6
7
454
324
196
3
289
217
141
4
567
379
156
8
282
314
155
1 6
475
268
131
1 1
727
334
8 7
1 7
890
477
6 9
5
480
402
290
3 3
648
255
103
MAR
3
139
127
104
5
275
175
102
5
231
156
112
2 0
693
189
2 1
3 7
697
339
7 1
8
403
154
6 3
1
1 B 0
180
180
5
4 4 &
? 8 0
130
9
394
146
3 2
1 4
390
199
- 3 0
4
281
201
150
1 a
643
347
125
ti
725
303
144
3
769
575
254
8 0
891
284
2 1
APR
3
250
178
107
3
256
163
113
2
73
69
6 6
12
561
229
101
36
959
254
2 4
7
356
179
7 1
6
3 S 3
289
136
6
433
255
9 1
7
242
9 1
S 5
1 0
185
112
7 3
6
3 ?8
159
S 3
1 1
567
397
138
7
533
355
3 5
3
503
416
323
28
531
283
4 4
MAY
4
216
167
103
4
264
151
8 0
4
460
215
105
1 1
514
290
9 0
3 0
435
243
6 9
7
345
221
185
4
212
157
133
7
314
344
170
5
195
119
3 7
9
409
218
9 5
3
313
387
335
1 8
1090
313
9 6
4
528
322
106
8
473
381
290
2 4
743
256
3 5
JUNE
5
236
160
7 8
5
203
141
101
5
148
109
5 1
17
439
205
5 0
3 3
521
203
8 9
9
278
181
108
4
190
136
8 2
6
322
217
6 0
5
254
139
7 0
9
236
176
8 1
3
283
160
9 4
3 5
680
871
100
6
558
262
7 3
2
R 0 0
508
216
2 3
530
230
29
JULY
5
392
231
6 8
4
323
172
148
3
286
181
145
9
344
121
4 4
4
314
184
8 9
4
148
184
108
5
288
184
122
17
660
272
8 9
2
8 6
7 6
6 7
2
368
304
240
1 7
270
138
6 0
AUG
2
196
143
9 0
6
266
152
7 1
4
232
163
113
7
160
106
7 7
3
332
201
146
4
105
9 3
7 5
4
406
337
151
1 5
776
312
125
1 4
233
153
100
SEPT
1
127
127
127
4
355
836
130
i 4
317
303
107
4
251
186
125
4
310
233
197
5
435
271
214
4
105
8 8
8 3
3
398
207
7 4
1 8
445
190
2 9
1
396
396
296
2 3
401
200
99
OCT
4
268
156
9 0
4
333
255
188
4
189
138
8 3
3
730
494
230
1 5
500
292
6 5
5
568
361
240
4
685
436
182
5
580
347
125
3
2 O 0
153
104
3
280
267
244
1 0
1409
726
114
1 5
720
856
99
NOV
3
390
226
137
4
340
2 7 b
235
4
363
310
9 3
12
970
287
80
3 d
1176
403
7 6
3
955
555
180
4
480
250
128
4
275
168
100
3
728
393
186
12
465
280
9 8
1 4
1190
497
133
3 3
1045
543
106
2 6
1430
439
53
DEC
4
145
1 0 1
6 2
4
439
2 7 b
323
5
680
242
9 d
1 0
606
316
7 b
3 6
1018
353
112
4
721
413
230
6
600
320
161
d
625
270
123
9
377
1 6 d
7 0
d
474
255
130
3 0
50u
208
4 6
1 6
777
407
4 d
30
462
2 4 7
5 H
-------
TABLE 2. ACETONE SOLUBLE ORGANIC MATTER—URBAN STATIONS
(MICROGRAMS PER CUBIC METER! x Ifr'
45
STATION LOCATION
MINNEAPOLIS MINN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
ivl 1 N 1 M U M
KANSAS CITY M U
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N | M U M
NEW ORLEANS LA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
FT WORTH TEXAS
NUMBER OF SAMPLES
M A X 1 *.' U M
AVERAGE
MINIMUM
LAKE«ORTH TEXAS
NUMBER OF SAMPLES
M A X 1 M U M
AVERAGE
Ml N 1 M U M
HOUSTON TEXAS
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
8ELLAIRE TEXAS
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
DENVER COL
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N | M U M
SALT LAKE CITY UTAH
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
ANCHORAGE ALASKA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
LOS ANGELES CALIF
NUMBER OF SA.MPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
PASADENA CALIF
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
BERKELEY CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN JOSE CALIF
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
PORTLAND OREGON
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
53 55
53 55
54 55
53 55
53 55
53 55
53 55
54 55
53 55
53 55
5 4
53 55
54 55
54 55
53 55
JAN
7
494
2 3 1
1 0 *
b
4 5 b
2 0 b
4 4
b
357
.1 1 7
0 5
3
lyo
171
i s a
4
7 b
7 4
6 6
7
194
1 5 y
U 7
4
1 4 b
115
7 4
3
238
191
153
6
929
537
267
7
3 U 6
134
3
506
343
178
4
454
2 U 0
140
2
719
564
409
1 2
4 5 b
314
1 0
FEB
8
283
309
1 o 3
3
1 8 7
1 4 3
i i y
7
315
152
6 3
7
292
201
126
5
150
9 5
b 3
7
319
179
9 2
3
115
7 2
t 4
4
181
155
144
5
630
488
330
B
637
340
8 4
1
1433
1433
1433
6
1177
497
310
6
746
558
339
4
2 U 5
128
5 5
8
3 U 0
166
6 5
MAR
9
343
1 7 d
7 b
9
430
171
4 4
7
2 b 4
112
4 1
1 1
370
145
1 6
5
130
6 5
9
1 0
573
2 3 o
6 7
5
2 1 o
160
126
5
440
260
153
4
677
3 3 o
103
7
466
2 0 b
• H 6
4
985
667
434
6
507
3 2 U
174
4
309
166
7 6
7
204
141
5 7
1 6
664
230
7 3
APR
7
350
1?5
6 5
6
132
9 1
3 8
8
269
137
fl 6
5
1 ? 9
Q B
7 5
5
366
138
3 5
6
304
119
3 6
2
9 5
9 1
B 8
3
207
173
120
3
306
203
142
10
930
347
3 9
4
666
431
181
5
738
503
297
3
359
149
76
6
436
172
3 2
6
338
162
B 1
MAY
8
248
154
7 4
9
364
119
1 6
1 0
233
133
1 4
7
193
117
5 8
7
303
103
5 8
8
369
170
7 8
4
180
135
6 7
4
218
127
8 6
4
131
120
111
8
365
169
4 0
7
810
452
228
7
686
411
166
7
351
201
105
6
343
120
4 7
8
280
154
7 3
JUNE
1 0
210
102
5 0
1 1
392
110
2 4
1 5
269
134
6 2
1 0
190
130
5 8
8
300
6 8
1 9
1 4
266
114
6
4
260
146
6 5
1 2
340
118
6 5
8
188
145
100
9
230
167
120
2
494
472
450
9
530
335
150
1 5
188
114
4 1
6
145
9 9
4 8
9
275
170
8 3
JULY
3
1-71
134
8 9
5
164
118
6 6
1 1
541
161
5 6
4
9 0
7 7
5 B
4
5 1
4 9
4 4
6
9 1
7 0
4 4
2
104
9 0
7 6
5
224
150
6 9
4
155
126
9 0
3
181
165
150
2
431
347
274
4
656
518
436
3
217
193
150
2
227
165
103
4
226
191
175
AUG
4
135
100
7 8
4
212
118
4 9
6
302
170
78
A
139
8 6
4 7
3
146
9 7
6 6
6
248
154
8 3
3
143
117
100
5
227
188
174
4
184
126
7 0
4
327
154
8 2
2
360
334
309
2
394
228
162
2
143
136
139
4
230
166
9 1
SEPT
4
279
140
6 8
2
285
184
8 4
9
199
107
4 8
6
304
111
3 2
4
193
9 3
4 4
4
275
177
7 5
3
193
133
5 6
3
127
115
101
4
195
147
8 0
6
339
173
113
2
1093
724
355
3
315
187
159
4
332
165
8 1
5
240
194
131
OCT
6
675
270
131
8
323
175
101
5
188
123
6 0
4
163
124
8 6
3
8 7
7 8
7 2
7
1150
298
103
4
195
135
8 7
2
374
273
172
3
268
245
223
6
670
332
162
4
1429
1022
395
4
344
226
143
3
262
198
164
2 9
1935
507
3 8
NOV
9
376
166
6 3
5
189
138
7 7
8
380
128
50
7
392
229
133
5
158
129
109
10
600
269
117
3
317
195
101
3
339
282
243
4
578
378
174
6
454
297
139
3
890
623
390
5
1030
310
104
5
465
217
89
33
2356
932
137
DEC
7
296
160
90
5
424
179
5 9
B
423
306
5 1
5
309
206
110
5
330
139
3 4
1 3
619
305
5 3
4
311
144
6 2
5
932
350
1 5 B
1 0
525
286
114
4
1730
1039
361
4
870
441
146
3
849
443
203
1 4
1040
382
104
-------
46
TABLE 2. ACETONE SOLUBLE
(MICROGRAMS PER CUBIC METER) x Ifr1
ORGANIC MATTER—SUBURBAN AND NONURBAN STATIONS
STATION LOCATION
SUBURBAN
MIDDLESEX CNTY MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINI ,\i U M
L A K E H U R S T M J
NUMBER OF SAMPLES
M A X 1 M U M
AVERAGE
Ml N 1 M LI M
K A N A t'. H A CO '.V V A
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINI M U M
HILLSBOROUGH CO FLA
NUMBER OF SAMPLES
M A X 1 M U M
AVERAGE
M 1 N | M U ivt
FULTON CO GEORGI.A
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
M 1 N 1 M U M
HAMILTON COUNTY OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TONKA SAY MINN
NUMBER OF SAMPLES
M A X 1 M U M
AVERAGE
M 1 N 1 M U M
E 0 1 N A MINN
NUMBER OF SAMPLES
H A X 1 MUM
AVERAGE
HI N 1 M U M
DENVER COUNTY COLO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
M 1 N 1 M U M
SALT LAKE CO UTAH
NUMBER OF SAMPLES
VI A X 1 M U M
AVERAGE
Ml N 1 M U M
MULTNOMAn CNTY ORE
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NONURBAN
LITCHFIELD CNTY CONN
NUMBER OF SAMPLES
M A X 1 M U M
AVERAGE
Ml N 1 M U M
YEARS
54 55
5 5
54 55
53 55
53 55
53 55
53 54
54 55
54 55
53 55
54 55
54 55
JAN
4
150
106
5 0
7
113
0 1
5 0
2
SOS
136
6 7
8
175
106
4 3
5
198
128
7 7
6
108
125
6 9
3
161
120
7 6
3
349
101
7 9
3
132
101
5 7
6
211
143
109
2
113
9 7
0 1
FEB
4
117
8 7
6 5
6
135
8 3
4 2
4
251
158
11*
7
218
110
2 8
e
204
124.
6 2
8
279
140
6 8
4
142
8 3
5 7
3
232
154
9 3
3
140
104
8 6
2
307
179
5 2
1
104
104
104
4
100
8 1
6 8
MAR
5
247
9 9
4 8
1
520
520
520
3
232
138
7 5
7
482
156
5 5
1 0
301
119
2 4
1 2
322
144
4 2
4
101
6 4
4 1
5
152
9 3
5 4
5
133
9 8
7 5
4
J.6 1
106
6 3
1
289
289
289
3
4 3
2 3
9
APR
3
127
<3 0
6 6
4
118
fi 8
6 3
3
208
1 6 8
138
9
149
85
1 5
1 0
187
7 2
3 1
3
9 5
7 1
5 2
4
200
120
7 7
3
285
112
19
4
8 6
4 4
19
3
87
6 9
58
1
2 6
26
2 6
MAY
4
9 6
8 2"
6 1
2
9 7
6 1
2 5
6
257
183
103
4
7 0
4 6
1 2
5
169
9 5
4 8
5
210
134
5 3
4
268
127
4 5
4
137
6 0
1 7
3
153
8 1
2 8
4
5 2
4 7
4 0
2
112
B 1
5 0
4
102
S 8
3 0
JUNE
5
129
105
6 1
2
8 9
8 2
7 5
5
146
111
6 3
8
220
121
2 3
S
131
104
8 3
3
2 2'0
169
8 9
4
128
6 8
4 1
5
154
7 5
3 4
4
145
6 6
2 6
7
100
5 8
2 4
4
7 6
5 6
4 0
JULY
3
147
118
8 0
4
6 5
5 6
5 0
4
9 9
7 7
5 7
4
3 7
3 5
3 3
3
630
253
5 3
5
7 0
5 3
3 8
1
7 6
7 6
7 6
AUG
2
231
201
172
3
7 0
6 5
5 9
4
105
6 5
2 9
4
126
6 9
3 8
4
140
8 3
4 3
2
7 7
7 2
68
SEPT
5
122
8 7
5 6
3
110
7 3
4 4
3
152
108
8 2
4
7 6
5 9
4 6
4
6 1
4 9
4 3
4
8 7
5 4
3 0
3
5 4
4 3
3 6
1
102
102
102
1
8 1
8 1
8 1
OCT
3
153
138
125
2
114
103
9 3
2
220
134
48
4
131
106
6 2
4
138'
9 9
7 7
4
9 1
7 2
4 1
5
141
9 2
5 1
2
100
7 6
5 2
6
296
187
100
4
8 0
4 2
1 7
NOV
6
151
100
6 5
4
221
147
82
3
140
9 9
6 4
2
203
144
85
7
362
183
3 9
6
243
140
6 5
1
6 5
6 5
6 5
4
123
8 5
5 4
5
130
7 0
2 3
5
451
263
8 8
DEC
2
5 7
5 4
5 1
2
251
174
9 7
8
157
117
5 9
4
168
115
6 6
7
388
201
112
4
6 5
51
4 5
5
178
124
9 0
4
115
7 S
4 6
5
355
147
5 5
-------
TABLE 3. BENZENE SOLUBLE ORGANIC MATTER—URBAN STATIONS
47
STATION LOCATION
WATERBURY CONN
HARTFORD CONN
NEW HAVEN CONN
STAMFORD CONN
PORTLAND MAINE
BOSTON MASS
PITTSFIELU MASS
EVERETT MASS
LAWRENCE MASS
LYNN MASS
SOMERVILLE MASS
WORCESTER MASS
MANCHESTER N H
PROVIDENCE R 1
BURLINGTON VT
WILMINGTON DEL
ELIZABETH N J
PAULSBORO N J
CAMOEN N J
PERTH AMBOY N J
TRENTON N J
JERSEY CITY N J
EAST ORANGE N J
NEWARK N J
NEW YORK N Y
BINGHAMTON N Y
BUFFALO N Y
SCHENECTADY N Y
SYRACUSE N Y
SITE
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
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
1
1,
3
4
1
1
2
1
1
YEARS
5 5
5 6
55 So
5 7
5 7
S 7
5 7
5 b
5 6
5 7
55 57
5 5
5 6
55 So
5 5
5 6
5 S 56
5 7
57
5 7
5 7
5 7
5 7
5 7
S 7
5 5
5 6
55 56
5 5
5 6
55 56
5 5
56
5 7
55 57
5 5
5 6
55 56
5 5
S 6
55 56
5 5
56
57
55 57
5 7
5 7
5 7
5 5
5 6
55 56
5 5
5 6
55 56
5 5
5 5
5 6
57
55 57
5 7
5 7
57
5 7
5 7
5 7
No. OF
SAMPLES
1 0
4 5
5 5
2 6
2 3
2 6
1 b
2 6
4 6
2 6
9 B
7
1 b
2 5
2 6
4 3
6 y
2 6
2 1
2 6
2 a
1 7
2 7
2 6
2 B
1 9
1 4
3 3
2 2
1 9
4 1
2 1
1 b
2 6
6 5
1 9
1 7
3 6
1 4
1 B
3 2
2 2
1 b
2 5
6 5
2 1
1 8
2 S
1 6
3 3
4 9
1 5
2 4
3 9
9
4 0
5 7
2 5
122
2 6
6
1 S
2 1
2 2
2 6
(MICROGRAMS PER CUBIC METER) x Ifr1
MIN
3 b
1 2
1 2
2 6
2 7
1 7
1 5
6 1
3 5
4 4
3 5
2 0
1 U
1 U
2 4
3 6
2 4
1 7
2 1
1 7
2 0
1 6
3 3
b
3 b
2 7
3 5
2 7
2 3
3 9
2 3
3 0
5 5
4 4
3 0
4 5
2 9
2 9
1 b
2 9
1 8
6 7
4 8
4 9
4 8
1 6
4 7
4 B
3 7
1 7
1 7
2-4
1 B
1 b
3 6
2 4
1 7
4 b
1 7
3 2
2 2
3 4
2 2
1 9
3 0
MAX
262
281
281
440
199
317
290
179
615
182
615
117
S 0
117
318
291
318
123
333
120
137
107
700
4 5
410
284
128
284
160
183
183
321
234
245
321
184
194
194
318
302
318
225
467
238
467
358
378
239
402
344
403
164
311
311
8 5
402
344
239
402
173
123
343
343
236
283
AVG
138
113
118
108
8 9
7 9
9 8
122
137
9 9
123
6 3
3 0
3 9
103
101
102
4 7
101
5 7
6 9
5 2
111
2 4
125
121
6 9
9 9
8 0
a o
8 0
106
123
115
114
8 9
8 2
8 6
8 9
7 8
8 3
113
134
118
118
8 7
103
117
134
108
116
8 0
8 3
8 3
S 5
9 6
9 7
117
101
6 8
5 3
111
9 S
4 9
7 9
FREQUENCY DISTRIBUTION — PERCENT
10
38
4 8
4 5
4 8
3b
4 4
2 9
8 4
6 8
5 3
6 1
2 2
1 1
17
4 4
4 8
4 6
18
3 3
3 1
2 5
2 5
5 1
1 4
5 5
2 9
38
38
4 4
4 1
4 2
4 4
6 8
59
57
4 7
4 4
4 6
19
4 0
3 6
7 1
59
6 8
6 6
18
4 9
68
4 4
5 1
4 6
3 3
2 4
25
29
3 3
33
6 8
38
38
2 2
4 8
29
34
38
20
4 4
5 6
5 4
5 3
5 1
4 9
5 1
9 4
7 4
57
7 3
2 2
2 1
2 1
5 1
6 0
5 9
3 1
5 1
38
38
30
5 6
16
6 5
6 5
4 6
4 9
5 1
4 4
4 9
5 9
7 5
7 8
7 1
5 0
4 6
4 8
38
4 4
4 1
7 8
6 8
8 1
7 8
19
5 9
7 3
4 8
6 8
6 2
5 1
33
38
3 3
4 8
5 4
7 2
5 4
4 1
2 3
5 1
38
26
4 5
30
5 1
7 1
7 1
5 9
5 5
5 5
b 5
104
8 6
6 5
8 5
3 8
2 2
29
6 4
6 4
6 4
2 7
59
4 6
51
3 3
6 5,
2 2
8 0
7 8
4 8
6 3
57
5 5
55
6 8
78
8 4
85
5 9
51
54
4 4
4 6
4 8
90
7 8
90
87
2 5
6 2
78
59
80
73
59
4 4
5 5
51
5 4
6 9
7 8
6 4
4 6
2 9
8 2
4 9
31
4 9
40
120
8 4
8 7
6 5
5 9
5 9
6 b
109
109
7 3
104
6 4
2 9
3 1
6 b
6 8
70
2 9
68
4 9
6 1
38
7 5
2 3
8 8
90
5 1
6 8
68
6 4
6 3
9 3
97
8 8
93
6 5
59
6 2
5 5
5 1
5 3
9 5
9 0
97
9 5
3 1
68
104
68
8 8
8 5
6 2
68
6 4
5 5
6 1
7 7
104
7 4
5 1
39
8 6
7 3
3 4
5 1
50
159
104
112
8 4
7 8
6 6
8 2
115
117
9 0
113
6 8
3 1
3 8
8 2
B 4
B 3
3 6
7 6
5 5
6 8
4 4
8 6
2 4
97
115
6 4
8 4
78
73
76
101
104
9 7
101
78
e i
78
59
5 6
5 7
99
104
109
103
7 3
72
130
104
99
101
68
7 3
7 3
5 9
6 7
B 6
130
8 5
6 4
3 8
108
8 6
37
6 4
60
171
133
139
107
9 0
7 5
90
135
131
104
123
6 8
3 3
4 0
9 7
9 5
9 4
4 2
8 4
6 1
7 8
5 1
9 7
35
109
i SO
6 8
104
8 4
7 8
8 5
109
139
112
112
8 4
8 4
8 6
8 1
6 1
6 4
104
130
130
115
8 4
76
137
138
115
120
8 2
78
8 0
5 9
8 3
101
127
102
68
5 1
112
108
4 4
73
70
183
138
149
112
113
9 0
138
134
152
126
138
7 3
4 0
4 4
120
104
109
6 2
120
6 6
8 5
59
110
3 0
129
129
8 4
116
9 0
97
9 9
120
159
139
130
108
9 0
104
8 7
6 6
7 8
120
132
134
130
104
9 0
138
171
125
131
9 0
9 0
8 8
6 4
97
120
138
123
7 3
5 1
120
116
4 8
9 0
80
197
155
175
120
138
104
149
159
178
145
161
7 8
4 2
5 1
149
129
135
7 3
138
7 3
9 0
7 8
120
33
159
138
9 0
137
112
112
112
132
167
159
151
116
113
115
90
6 8
90
159
138
149
146
152
104
149
211
135
149
104
130
113
6 8
138
131
149
136
8 4
7 8
138
129
5 4
109
90
211
211
311
1 b 3
171
129
171
169
323
159
179
7 8
4 4
7 3
183
197
197
d 4
211
7 8 '
112
9 7
159
3 5
232
363
130
183
130
129
129
149
1 b 3
211
311
159
120
149
311
138
197
183'
159
211
192
1 B 3
138
21 1 i
263
159
197
171'
138
138
8 4
1 B 3
149
311
175
1 0 4
7 8
183
159
b 9
130
-------
48
TABLE 3. BENZENE SOLUBLE ORGANIC MATTER—URBAN STATIONS
STATION LOCATION
U T 1 C A N Y
PHILADELPHIA PA
ALTOONA PA
BRISTOL PA
CHESTER PA
ERIE PA
PITTSBURGH PA
WILLIAMSPORT PA
ALLENTOWN PA
JOHNSTOWN PA
LANCASTER PA
SCRANTON PA
WASHINGTON 0 C
LOUISVILLE K Y
BALTIMORE MO
CHARLOTTE NC
WINSTON SALEM NC
SITE
1
1
1
1
4
4
4
4
5
5
5
6
6
6
7
7
7
1
1
1
1
1
1
1
1
1
1
1
1
1
2
1
1
1
1
1
1
1
2
2
3
3
3
3
1
1
1
1
2
2
2
4
1
1
1
1
1
YEARS
57
5 5
56
55 5 t>
5 5
5 6
5 7
55 57
5 5
56
55 56
5 5
5 6
55 56
5 5
56
55 56
5 5
5 6
57
55 57
5 5
56
55 56
55
5 6
55 56
55
56
55 56
5 5
56
55 56
56
57
56 57
5 5
56
55 56
57
57
5 7
57
5 5
56
55 56
56
57
56 57
5 5
56
5 7
55 57
5 5
5 6
5 7
55 57
55
5 6
55 56
5 7
5 5
56
57
55 57
56
5 7
56 57
5 7
5 7
No. OF
SAMPLES
2 4
1 5 b
307
465
2 0
231
2 5
276
1 6
4 1
5 7
1 2
4 2
b 4
6
3 b
4 4
212
659
2 5
896
3
2 4
2 7
2 2
1 2
3 4
2 3
1 3
3 6
1
4 b
4 9
7 1
2 3
9 5
6
4 0
4 6
1 9
1 1
1 1
2 6
2 5
2 2
4 7
1 4
26
4 0
2 5
3 6
26
B 7
2 0
2 3
1
4 4
1 4
5
1 9
1 5
3 4
2 b
1 6
7 8
2 7
2 6
5 3
2 5
2 6
(MICROGRAMS PER CUBIC METER) x 10-'
MIN
26
1 6
3 4
1 6
123
3 4
4 8
3 4
2 4
2 3
2 3
6 4
4 2
4 2
129
3 7
3 7
1 6
2 3
4 b
1 6
112
3 5
3 5
7
1 8
7
3 4
2 3
2 3
9 0
b
b
1 0
2 1
1 0
7 4
4 4
4 4
2 1
1 8
4 3
2 4
4 1
3 4
3 4
1 9
9
9
4 1
1 9
9
9
3 0
4 8
110
3 0
2 9
58
2 9
1 5
2 9
4 b
1 5
1 5
8 5
2 5
2 5
2 3
1 2
MAX
139
428
731
731
469
829
277
829
229
459
459
195
616
616
308
730
730
469
829
277
829
179
490
490
158
224
224
350
209
350
9 0
106
106
322
361
361
360
414
414
9 7
235
233
301
365
550
550
251
162
251
365
550
162
550
706
198
110
706
276
146
276
268
706
198
268
706
952
336
952
531
298
AVG
6 5
133
141
138
215
189
133
186
8 7
111
104
124
127
126
199
176
179
139
157
133
152
142
115
118
6 9
6 3
6 7
9 1
8 1
8 7
9 0
4 6
4 7
116
103
112
215
156
164
5 9
107
8 0
123
148
160
154
109
6 4
8 0
148
140
6 4
119
188
9 5
110
138
138
100
128
109
167
9 6
109
130
220
112
167
132
8 4
FREQUENCY DISTRIBUTION— PERCENT
10
29
6 4
66
6 5
138
8 6
68
8 4
30
33
3 1
68
5 9
6 1
138
6 5
6 5
60
6 5
68
64
38
4 1
17
19
19
4 0
24
38
2 3
2 3
4 1
29
4 1
78
9 5
9 5
29
19
4 1
38
6 8
59
6 8
19
30
30
6 8
5 1
30
36
5 1
5 4
54
29
59
4 4
5 5
4 4
5 5
5 5
5 2
8 5
5 4
59
4 1
22
20
37
7 9
8 0
80
159
112
8 1
112
3 1
4 6
38
7 3
69
7 1
138
7 3
8 2
7 6
8 2
8 1
8 1
120
4 8
4 8
33
35
36
4 4
33
4 3
2 5
2 5
6 2
5 1
57
7 8
108
108
4 4
5 1
4 4
4 8
90
78
9 0
5 1
33
3 5
9 0
59
33
4 6
6 8
6 1
6 3
5 1
5 9
59
59
6 5
6 1
59
6 2
9 0
5 9
8 4
4 6
3 8
30
4 1
89
93
92
169
128
90
129
33
5 3
4 9
104
77
77
159
90
97
92
100
90
97
120
59
6 4
51
38
4 4
5 3
51
53
3 0
31
8 5
59
76
159
116
118
4 8
59
59
5 6
114
101
107
5 5
37
4 1
114
92
3 7
5 9
7 8
64
6 8
6 8
6 8
6 8
8 1
78
6 4
8 1
6 8
120
8 2
92
51
4 9
40
4 8
102
108
106
178
144
125
144
4 1
68
59
ISO
9 0
9 5
159
1 04
120
107
116
125
113
120
73
7 8
55
5 1
53
5 6
6 4
57
38
39
9 5
7 2
90
159
125
128
5 1
7 1
6 4
68
120
120
120
90
4 1
4 8
120
99
4 1
8 7
9 3
68
8 2
112
68
104
8 4
97
6 8
8 4
8 5
134
9 0
102
73
52
50
5 1
113
120
118
188
160
138
160
59
8 2
7 3
126
101
109
183
126
138
120
130
138
128
138
8 4
104
5 9
5 4
5 7
6 8
7 8
6 8
9 0
4 3
4 4
104
7 8
101
197
135
142
6 1
7 8
7 1
78
145
132
138
97
4 7
5 3
145
125
4 7
109
98
8 4
120
9 4
120
104
120
90
104
8 4
90
9 6
152
98
125
109
5 6
60
56
127
131
130
197
182
146
181
6 5
97
9 0
132
125
128
211
159
165
136
147
146
145
138
104
120
7 3
56
6 4
8 2
9 5
8 6
9 0
5 1
5 1
120
9 0
114
211
151
159
6 4
120
73
120
159
159
159
104
5 1
7 3
159
145
5 1
130
104
97
120
102
138
104
129
97
138
99
104
110
183
112
138
120
68
70
8 4
149
149
149
206
205
159
201
6 8
120
115
138
142
145
211
192
197
163
173
159
170
138
132
134
9 0
5 9
76
9 0
9 9
97
9 0
5 9
59
134
115
130
211
188
194
68
159
7 6
159
183
175
179
149
59
9 7
183
165
5 9
152
211
120
120
132
183
138
149
120
211
125
112
138
227
126
165
159
7 8
80
97
177
182
180
262
245
183
239
138
159
159
171
164
162
280
222
232
192
204
183
200
138
159
171
101
7 3
94
112
104
112
90
6 4
6 5
159
129
152
322
206
211
7 5
183
7 8
227
197
211
202
159
9 0
142
197
192
90
177
243
132
120
183
227
138
183
171
235
134
171
177
280
159
202
175
138
90
120
243
226
234
347
332^
204
322
222
227
224
183
183'
1 b 3
2 b 0
322
322
250
268
204
260
1 b 3
211
197
120
7 8
120
1 b 3
120
138
90
7 5
7 8
204
227
211
322
235
243
b 4
21l'
9 0 '
2 b 0
227
243
227
211
145
159
227
227
145
207
491
183'
120
371
262
159
243
211,
371
159
183
243
4 2 7 '
175
371
2 BO
159'
-------
TABLE 3. BENZENE SOLUBLE ORGANIC MATTER— URBAN STATIONS
49
STATION LOCATION
SAN JUAN PUERTO RICO
NORFOLK VA
RICHMOND VA
CHARLESTON W VA
WHEELING IV VA
BIRMINGHAM ALA
MIAMI FLA
COLUMBUS GA
JACKSON MISS
COLUMBIA SC
GREENVILLE SC
CHATTANOOGA TENN
KNOXVILLE TENN
NASHVILLE TENN
CHICAGO ILL
EAST ST LOUIS ILL
SPRINGFIELD ILL
SITE
1
1
1
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
3
3
3
3
4
4
4
4
1
1
1
1
1
2
2
2
4
4
4
5
1
1
1
2
2
2
1
YEARS
5 7
57
57
5 5
56
57
55 57
56
57
56 57
57
5 5
56
57
55 57
57
5 5
56
5 7
55 57
5 7
57
57
5 7
5 5
56
57
55 57
5 5
56
57
55 57
5 5
56
5 7
55 57
5 7
57
55
56
55 56
55
56
55 56
5 5
56
55 56
57
5 5
56
57
55 57
5 5
56
55 56
5 5
56
55 56
5 5
5 6
55 56
57
No. OF
SAMPLES
2 1
2 5
2 6
1 7
2 3
2 3
6 3
1 1
2 5
3 6
2 5
2 2
3 b
2 6
86
2 5
2 9
3 4
2 6
8 9
2 7
2 4
2 4
2 9
1 8
2 4
1 3
5 5
2 1
2 4
1 8
6 3
3 9
4 8
3 1
118
26
2 e
3 7
1 1
4 8
2 2
1 3
3 5
4 6
9
5 7
8
107
3 3
8
1 4 B
1 9
3 0
4 9
1 8
3 2
5 0
3 7
6 2
9 9
2 0
1MICROGRAMS PER CUBIC METER) x 10"'
MIN
1 6
3 3
2 5
3 6
4 6
2 4
2 4
5 3
4 5
4 5
9
3 2
7
3 1
6 1
6 3
4 1
4 1
3 5
8
2 4
3 1
9
2 9
2 9
9
8 4
6 9
4 4
4 4
9
2 9
2 9
9
5 2
3 5
5 2
8 6
5 2
7 5
5 4
5 4
8
2 1
8
5 2
8
2 1
5 2
8
7 3
6 8
6 8
2 6
2 1
2 1
2 6
2 1
2 1
1 9
MAX
lie
163
198
367
366
227
367
261
437
437
214
247
205
9 9
247
111
803
525
185
803
221
220
350
292
251
155
597
597
733
540
367
733
733
540
597
733
337
560
500
403
500
479
575
575
332
267
267
235
500
575
235
575
618
414
618
428
167
428
618
414
618
212
AVG
4 8
8 5
8 2
126
129
8 2
111
113
168
152
9 1
9 2
8 0
5 4
7 5
5 5
159
149
8 1
132
8 0
5 3
116
110
8 4
8 0
139
9 5
226
198
176
201
160
139
160
152
135
107
195
235
204
222
236
227
9 6
119
9 9
111
156
204
111
164
242
167
196
139
6 9
9 4
192
116
145
7 3
FREQUENCY DISTRIBUTION— PERCENT
10
1 6
38
36
4 4
55
25
38
5 5
8 2
7 1
4 1
4 6
4 4
3 4
37
3 1
6 9
78
56
6 5
39
8
33
38
31
4 4
29
36
95
8 4
104
9 2
4 B
5 5
38
4 8
59
5 1
9 6
90
96
90
59
9 0
2 3
22
2 3
5 5
40
4 4
5 5
4 2
129
90
94
3 3
2 5
29
7 3
36
4 0
31
20
2 2
53
4 4
5 1
78
38
4 9
59
9 0
82
5 1
5 1
5 1
37
4 6
32
7 4
85
6 1
73
4 0
18
4 8
4 6
48
55
38
4 8
104
104
120
110
59
6 4
51
6 1
68
57
104
112
115
120
104
120
39
3 3
33
59
69
90
59
7 1
145
101
109
7 5
36
4 0
8 4
5 1
6 4
3 5
30
33
59
51
6 8
90
4 2
58
7 3
97
94
71
6 5
5 5
4 2
5 2
36
7 8
90
6 8
8 0
i 3
1 9
54
51
51
59
4 8
56
120
126
126
125
6 8
73
104
7 3
76
6 2
138
120
138
190
138
183
4 4
4 4
4 4
59
92
115
59
94
159
109
120
7 8
4 4
54
120
6 6
78
38
40
4 1
64
5 5
9 0
97
4 8
78
78
102
9 9
7 8
7 1
6 0
4 6
58
4 0
9 4
110
7 3
8 6
5 1
33
64
7 2
56
64
5 1
6 1
129
149
138
136
9 5
90
126
9 9
9 0
7 3
150
159
151
204
159
200
6 8
6 8
68
78
117
143
78
118
183
115
138
90
54
66
134
8 0
9 6
4 9
50
4 9
78
6 8
112
107
5 6
9 6
104
129
112
9 0
7 8
6 5
5 1
65
4 8
104
120
7 9
9 4
7 3
3 6
78
78
6 1
68
68
6 6
159
165
152
159
120
108
149
122
125
e 2
167
243
171
222
255
232
7 6
120
78
90
144
183
9 0
145
232
126
167
104
6 1
7 5
154
9 6
115
5 9
60
5 5
86
9 0
120
114
6 8
109
120
183
138
9 5
9 0
78
5 9
7 4
5 9
115
131
8 3
109
8 1
4 1
104
9 9
6 6
7 5
159
7 2
211
177
167
177
134
139
164
142
138
88
192
280
211
243
268
254
108
120
110
120
163
243
120
169
243
159
197
126
68
8 4
183
110
132
6 8
70
6 1
109
109
138
120
97
123
138
204
183
102
104
9 0
6 8
8 3
6 8
132
152
8 5
126
9 0
5 1
183
120
7 3
97
171
104
232
211
183
217
159
154
178
166
159
109
232
347
250
262
280
275
138
149
141
138
202
265
138
213
268
197
235
138
78
9 9
243
125
164
7 8
80
6 4
120
138
197
138
129
149
159
227
211
112
129
104
7 6
99
8 4
167
175
8 9
154
120
7 3
197
159
7 8
109
183
142
322
268
227
268
227
177
211
205
192
130
271
371
280
294
301
297
152
159
156
138
237
301
138
249
322
243
273
159
90
129
294
175
219
112
90
6 8
154
149
211
243
183
222
183
371
280
159
171
138
a 2
129
99
211
301
104
211
149
120
243
262
159
138
211
l a 3
491
399
322
399
322
268
322
301
211
183
322
399
359
322
427
371
197
243
211,
159
2 a o '
390
159
3 0 4 '
399
322
355
301
138
171
371
243
301
138
-------
50
TABLE 3. BENZENE SOLUBLE ORGANIC MATTER— URBAN STATIONS
STATION LOCATION
EAST CHICAGO 1 N 0
EVANSVILLE INO
FORT WAYNE INO
INDIANAPOLIS IND
DETROIT MICH
GRAND RAPIDS M 1 C H
KALAMAZOO MICH
LANSING MICH
FLINT MICH
CINCINNATI OHIO
YOUNGSTOWN OHIO
CANTON OHIO
CL.EVELAND OHIO
COLUMBUS OHIO
TOLEDO OHIO
LORAIN OHIO
MILWAUKEE WIS
RACINE WIS
DES MOINES IOWA
KANSAS CITY KANSAS
WICHITA KANSAS
MINNEAPOLIS MINN
DULUTH MINN
SITE
1
1
1
1
2
a
2
2
3
3
3
3
4
4
4
4
1
1
1
2
3
4
1
1
1
1
1
1
1
1
1
1
1
1
1
1
i
1
1
1
1
1
1
1
2
1
1
1
1
1
1
YEARS
5 5
56
5 7
55 57
5 5
5 6
5 7
55 57
5 3
5 6
5 7
55 57
5 5
5 6
5 7
55 57
5 b
5 6
57
55 57
5 7
57
57
56
56
57
56
57
56 57
57
5 7
57
57
55
5 6
57
5S 57
56
5 7
56 57
57
57
57
5 7
57
57
5 7
5 7
55
57
55 57
5 6
5 5
5 6
5 7
55 57
57
5 5
5 6
5 7
55 57
5 7
No. OF
SAMPLES
1 0
1 5
2 0
45
1 0
1 5
2 2
47
1 4
1 9
1 8
5 1
1 1
1 9
2 0
5 0
4 5
6 8
8 0
193
2 5
2 8
2 6
3 0
3 3
2 3
6 3
2 3
86
1 8
2 5
2 6
2 6
2 2
43
2 6
9 1
2 0
2 6
46
2 6
2 6
2 9
2 6
2 6
2 5
2 3
2 6
1 0
8
1 8
2 5
1 0
2 5
8
4 3
2 6
6 9
4 6
26
141
2 5
MIN
8 2
7 8
3 2
3 2
4 2
8 2
4 9
4 2
4 5
4 2
3 0
3 0
3 9
2 6
2 8
2 6
3 9
2 6
2 8
2 6
1 9
3 2
2 5
6 0
1 3
3 8
1 3
3 8
1 3
5 1
7
2 S
3 5
2 4
3 3
2 1
2 1
5 2
3 5
3 5
4 9
3 8
26
3 2
3 2
9
1 5
6
3 5
4 1
3 5
2 0
3 5
20
4 1
2 0
1 8
2 5
4 0
9
9
20
(MICROGRAMS PER CUBIC METER) x 10-'
MAX
280
361
360
361
490
363
284
490
218
448
293
448
230
285
313
313
490
448
360
490
190
282
348
344
417
270
417
270
417
221
101
101
200
235
545
188
545
276
490
490
314
291
307
256
533
170
212
183
285
170
285
149
285
149
170
285
6 1
397
446
181
446
280
AVS
176
166
151
161
178
154
119
143
103
153
121
128
9 2
104
138
115
133
142
132
136
5 9
102
120
119
7 2
102
9 4
102
9 6
9 5
4 4
5 3
8 7
115
.142
8 2
119
136
145
141
145
119
109
82
105
7 6
6 7
7 3
134
8 6
112
5 1
134
5 1
8 6
7 7
37
8 5
103
6 7
8 7
7 5
FREQUENCY DISTRIBUTION— PHtCENT
10
8 4
9 0
7 8
8 2
4 4
94
5 3
57
5 1
4 4
5 1
5 1
4 4
4 4
29
38
51
5 6
5 1
5 2
33
38
64
68
24
4 4
2 6
4 4
28
5 4
16
3 3
5 1
38
4 8
29
37
59
4 6
5 1
68
59
4 2
36
4 2
4 1
27
33
38
4 4
4 4
30
38
30
4 4
31
2 4
35
5 5
25
36
4 1
20
9 0
120
8 6
90
6 8
9 7
5 7
68
6 4
7 3
7 8
68
4 8
5 4
38
51
6 4
7 5
6 1
67
38
53
7 1
8 5
2 7
57
4 4
57
4 6
59
26
35
5 9
5 1
7 1
38
54
7 8
5 1
57
78
68
59
40
4 8
4 6
38
41
78
5 1
59
3S
7 8
32
51
36
2 9
4 5
6 3
33
4 7
46
30
104
138
95
108
8 4
104
68
90
68
90
90
80
51
59
59
58
81
92
80
8 3
4 2
57
8 2
92
2 9
6 8
51
6 8
59
61
31
37
6 4
6 8
80
55
68
8 6
59
80
104
76
73
4 8
55
51
4 4
4 6
90
51
6 8
35
90
35
51
4 0
3 2
50
71
4 4
55
51
40
120
143
104
126
90
109
9 0
102
8 2
104
104
94
59
7 1
68
68
87
104
97
9 8
4 4
68
90
98
44
8 1
67
8 1
7 1
64
34
44
68
8 4
87
62
79
104
8 4
90
112
84
9 5
53
59
6 1
6 1
4 9
112
59
8 2
38
112
38
59
4 4
34
57
77
49
64
59
50
183
154
120
149
120
120
104
115
86
129
115
114
9 0
78
104
90
107
130
111
113
53
8 4
104
104
4 9
9 0
85
9 0
8 6
68
3 6
5 1
7 8
104
126
7 1
90
129
104
123
126
110
107
59
84
6 6
66
55
120
68
90
4 2
120
42
6 8
56
37
67
85
6 4
73
64
60
211
159
149
165
138
145
120
132
90
138
129
139
104
97
120
106
117
145
129
132
56
99
120
110
59
104
95
104
9 6
78
38
6 1
8 5
138
152
84
125
138
132
135
145
130
112
68
96
78
70
6 8
129
8 4
130
4 4
129
4 4
8 4
6 4
40
75
9 5
71
8 2
68
70
343
183
183
197
159
159
138
152
129
171
145
146
109
113
223
118
149
163
153
156
7 1
120
138
116
6 8
112
104
112
107
120
5 9
6 4
90
159
173
9 5
156
159
149
154
159
143
120
7 5
101
9 5
7 4
8 4
138
9 0
138
55
138
5 5
90
8 4
4 3
8 8
104
7 8
9 5
78
80
255
211
211
224
333
183
183
211
138
211
152
171
115
159
343
183
211
183
211
199
7 8
138
164
129
8 4
120
116
120
119
138
6 8
68
120
183
197
120
178
183
183
183
211
159
138
104
138
104
7 8
104
159
90
149
58
159
5 8
90
120
4 6
120
138
97
133
90
90
268
243
243
368
371
323
343
294
183
280
183
233
120
183
294
243
268
363
262
264
90
203
173
183
138
175
183
175
173
152
7 8
7 5
138
211
391
159
311
243
380
355
343
183
183
183
183
133
99
138
343
159
183
90
343
9 0
159
153
4 9
149
165
130
155
139
-------
TABLE 3. BENZENE SOLUBLE ORGANIC MATTER—URBAN STATIONS
51
STATION LOCATION
KANSAS CITY MO
ST LOUIS MO
BRENTWOOD MO
BRECKENRIOGE MO
OMAHA NEB
LINCOLN NEB
BISMARCK NO
SIOUX FALLS SO
LITTLE ROCK ARK
NEW ORLEANS LA
BATON ROUGE LA
ALBUOUEROUE NM
TULSA OKLA
FT WORTH TEXAS
LAKEWORTH TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
DALLAS TEXAS
SAN ANTlONIO TEXAS
EL PASO TEXAS
CORPUS CHRISTI TEXAS
SITE
2
2
2
2
4
4
4
1
1
1
1
2
2
2
1
1
1
1
1
1
1
1
1
1
1
3
2
2
3
3
3
3
1
1
1
1
1
1
1
1
1
1
2
1
1
1
i
1
1
1
YEARS
5 5
56
5 7
55 57
55
56
55 56
55
56
57
55 57
55
5 6
57
55 57
55
56
55 56
5 5
56
57
55 57
55
56
55 56
55
56
55 56
57
57
57
57
57
5 5
56
55 56
5 5
56
57
55 57
55
56
57
55 57
57
57
5 7
5 5
56
55 56
55
5 5
56
55 56
57
55
56
57
55 57
55
5 6
55 56
57
57
57
57
No. OF
SAMPLES
1 6
3 3
26
7 5
i 9
1 6
3 5
3 5
4 9
2 6
110
26
4 3
2 5
9 4
2 5
4 1
6 6
5 1
8 4
2 5
160
1 5
17
3 2
1 1
1 5
2 6
26
26
2 4
26
2 6
1 9
2 0
39
2 5
21
2 6
7 2
4 4
4 1
2 6
111
2 4
22
2 0
2 6
4 5
7 1
9
3 0
36
6 6
2 6
3 0
36
26
9 2
1 6
7
2 3
2 5
2 6
2 8
26
IMICROGRAMS PER CUBIC METER) x 10-'
MIN
6 1
6 a
2 8
28
1 5
2 5
1 5
1 5
2 5
2 8
1 5
59
37
2 2
2 2
8 5
6 6
66
S 9
37
2 2
2 2
3 8
7
7
4 2
3 6
3 6
3 1
2 4
1 7
5
2 4
2 1
1 6
1 6
3 8
2 7
2 4
2 4
2 1
1 6
2 4
1 6
3 5
6 1
8
3 9
2 1
2 1
1 6
37
1 2
1 2
2 0
3 7
1 2
2 0
1 2
1 6
3Q
y
1 6
1 7
1 6
1 7
1 4
MAX
298
497
301
497
300
138
300
300
497
301
497
302
711
271
711
503
745
745
503
745
271
745
437
109
437
578
540
578
158
175
90
7 5
174
144
9 5
144
228
558
416
558
228
558
416
558
315
410
6 7
196
327
327
7 3
405
214
405
284
405
214
284
405
143
222
222
147
79
187
77
AVG
132
161
9 6
132
5 9
5 6
5 8
9 2
127
9 6
109
155
178
115
155
208
192
198
181
185
115
173
141
5 6
9 6
181
140
157
67
5 6
38
3 8
5 8
6 2
4 7
5 4
9 9
143
113
117
8 3
9 6
113
9 5
129
180
2 6
8 4
8 0
a 2
3 5
112
6 8
8 8
8 1
112
6 8
8 1
8 6
6 1
106
7 4
7 0
4 3
7 0
2 9
REOUENCY DISTRIBUTION— JWCENT
10
68
8 2
3 3
61
16
26
17
17
33
33
26
90
78
4 4
68
109
82
9 0
92
80
4 4
8 1
5 1
17
22
4 4
59
4 8
33
3 5
16
2 2
27
22
25
2 5
44
38
38
39
28
28
38
28
5 5
7 8
8
4 8
31
33
16
4 2
2 2
29
28
4 2
2 2
28
27
38
38
36
2 1
19
16
10
78
93
4 9
76
17
2 8
23
2 4
5 1
4 9
3 6
9 6
9 7
80
9 0
120
9 6
104
104
96
80
95
68
2 2
33
48
6 2
59
40
38
2 5
2 4
2 8
2 8
2 9
2 8
62
5 9
42
56
4 1
38
4 2
4 0
76
86
17
5 4
39
43
17
59
2 9
4 0
3 4
59
2 9
34
38
4 1
4 3
4 0
2 3
36
17
30
97
98
64
86
2 3
3 3
26
31
8 2
6 4
59
104
115
88
101
138
112
125
117
114
8 8
108
90
2 5
51
51
68
68
4 5
4 3
28
2 8
3 3
38
38
38
78
73
59
70
53
4 2
59
48
86
99
2 1
6 4
4 4
52
1 8
68
4 0
52
38
6 8
4 0
38
4 3
4 8
46
46
24
40
2 2
40
1 04
102
73
94
24
35
29
56
94
73
78
115
129
95
115
152
131
138
132
131
95
125
9 7
38
68
97
8 4
9 0
4 8
4 5
34
30
40
44
4 0
4 1
86
90
73
8 3
6 5
49
7 3
59
104
138
23
70
53
57
19
7 8
4 4
59
4 1
78
4 4
4 1
57
5 1
5 1
5 1
30
4 6
23
50
115
114
8 2
103
29
38
35
7 3
100
82
91
132
146
108
130
192
154
159
159
147
108
141
112
5 9
8 4
112
126
112
5 4
4 8
36
3 8
4 4
5 4
4 2
4 4
96
120
8 6
96
82
6 4
8 6
78
110
159
2 4
7 6
58
6 5
2 5
87
5 6
7 3
51
87
5 6
5 1
6 8
5 4
5 6
57
4 1
5 4
2 5
60
138
129
88
116
31
5 1
4 4
9 7
107
88
101
167
164
116
147
202
177
191
190
167
116
163
120
68
90
120
132
132
64
50
38
43
4 8
56
4 4
4 9
101
129
112
110
90
78
112
90
117
183
35
8 4
6 4
75
25
97
68
87
7 3
97
6 8
73
83
57
rj o
1 D
59
68
4 7
6 4
28
70
145
171
97
143
54
59
5 7
116
120
97
117
183
183
138
172
227
200
206
208
195
138
192
138
8 4
101
183
159
159
78
59
4 3
46
50
8 2
49
57
112
138
126
124
100
104
126
106
138
211
28
9 0
9 0
9 0
4 4
120
8 6
9 8
90
120
8 6
9 0
9 6
59
159
6 8
90
5 0
7 8
3 1
to
159
232
143
167
59
97
78
145
171
143
149
222
232
152
211
280
262
268
237
243
152
227
211
90
120
347
183
211
95
71
51
5 1
8 6
90
5 9
81
120
183
159
159
110
129
159
126
159
280
3 3
112
101
104
5 5
152
104
125
104
152
104
104
125
68
183
90
104
70
109
38
90
183
322
154
268
120
104
120 ,
211'
262
154
232'
243
347
211
2 BO (
371
371
355
312
355'
211
310
280
9 7
211'
371
243
347
104
7 8
68
59
104
104
7 8
95
197
301 '
211
222
138
183
2 1 1 '
190
2 6 8 '
322
4 2
129i
159
138
59
211
126
154
152
211'
126
152
156'
90
1 b 3
159
1 3 2 i
7 4
138
4 8 '
-------
52
TABLE 3. BENZENE SOLUBLE ORGANIC MATTER—URBAN STATIONS
STATION LOCATION
DENVER COL
BOISE IDAHO
HELENA MONTANA
SALT LAKE CITY UTAH
CHEYENNE HYO
ANCHORAGE ALASKA
PHOENIX ARIZ
LOS ANGELES CALIF
SAN FRANCISCO CALIF
PASADENA CALIF
BERKELEY CALIF
SAN JOSE CALIF
SAN LEANDRO CALIF
SAN DIEGO CALIF
BURBANK CALIF
SAN BERNARDINO CALIF
HONOLULU HAWAII
LAS VEGAS NEVADA
PORTLAND OREGON
SEATTLE WASH
SITE
1
1
1
1
1
1
2
2
2
2
1
1
1
1
2
2
2
1
3
1
1
1
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
1
1
1
1
1
2
2
2
4
1
YEARS
5 5
5 6
57
55 57
57
57
55
5 6
57
55 57
57
5 5
57
55 57
5 5
57
55 57
5 5
57
55 57
57
57
55
56
55 56
57
55 57
5 5
56
57
55 57
5 5
5 5
56
57
55 57
55
56
55 56
57
5 7
57
56
57
56 57
56
56
57
56 57
57
55
5 6
57
55 57
55
56
55 56
5 5
5 5
56
5 7
55 57
57
No. OF
SAMPLES
2 7
4 0
2 5
9 2
3 4
2 5
2 2
29
2 4
75
2 7
7
2 3
3 0
5
7
1 2
1 2
3 0
4 2
2 6
2 4
1 8
2 5
4 3
3 1
7 4
1 4
4 6
2 4
8 4
1 5
2 4
4 3
2 5
9 2
6 2
4 1
103
26
2 6
23
23
28
5 1
11
3 4
2 8
6 2
2 6
5 3
3 0
26
109
9
1 3
22
6
6 8
4 3
2 6
137
2 5
(MICROGRAMS PER CUBIC METER) x 10-'
MIN
1 7
36
2 6
1 7
2 5
6 9
2 9
3 9
29
8
3 5
4 0
3 5
213
57
5 7
3 5
4 0
3 5
3 7
3 6
8
9
8
1 5
8
8 3
9
6 5
9
2 7
1 7
3 1
1 7
1 7
5 0
2 8
28
2 3
4 2
3 2
1 5
1 5
1 5
8
8
1 5
8
2 5
3 4
2 5
8
8
4 6
4 2
4 2
3 3
3 3
2 5
8
8
1 6
MAX
424
385
864
424
237
4 2
315
467
262
467
96
168
153
168
532
312
532
532
312
532
587
561
8 9
108
108
335
335
316
771
368
771
173
298
203
210
298
631
536
631
464
607
790
107
6 7
107
4 4
107
6 7
107
167
253
400
438
438
9 5
341
341
155
253
400
438
438
232
AVG
164
127
105
132
8 8
2 1
159
125
8 1
121
4 2
117
9 1
9 7
321
108
197
202
9 5
126
164
261
3 2
3 4
3 3
7 7
5 1
209
226
171
207
8 3
106
8 9
6 8
8 7
165
126
150
106
203
195
5 4
3 3
4 3
2 7
4 5
3 3
4 0
7 6
9 4
182
8 9
100
6 6
105
8 9
9 2
9 0
117
8 9
9 8
9 9
FWOUENCY DISTRIBUTION— PERCiNT
10
7 1
6 1
4 6
53
4 0
8
84
4 6
4 2
4 7
17
38
4 4
4 4
227
55
55
38
4 5
45
5 1
4 4
17
9
9
25
15
9 0
86
78
8 4
48
22
34
27
30
80
59
7 1
31
5 i
5 1
21
17
20
8
17
17
17
38
4 5
4 1
29
39
48
4 1
4 4
33
4 5
4 1
29
40
3 3
20
7 8
7 1
5 1
70
46
9
104
5 5
48
56
2 5
38
4 8
4 8
227
55
5 9
104
50
51
68
115
23
1 5
1 6
31
18
159
112
104
110
5 1
38
4 8
3 1
37
9 0
80
8 6
33
5 9
8 4
35
22
23
17
22
2 2
2 1
4 4
54
5 1
34
47
5 1
5 1
4 9
33
51
5 1
3 4
4 7
4 4
30
97
8 3
71
B 3
51
1 6
114
68
51
69
27
104
51
71
243
59
78
129
59
73
7 8
138
2 4
1 6
1 8
3 6
8 5
171
142
110
131
6 2
73
56
38
54
104
88
97
51
94
104
38
2 3
2 5
1 8
87
2 3
2 5
53
6 5
6 4
38
59
59
55
56
i 4
59
59
38
57
6 4
40
120
95
78
96
59
18
120
76
59
77
31
125
7 5
8 2
243
68
90
134
7 3
8 4
84
171
26
17
84
4 9
3 1
197
159
180
156
6 5
8 4
63
55
63
112
98
108
56
101
120
4 9
25
29
19
36
85
28
57
7 5
7 3
4 4
7 1
62
59
62
4 4
69
7 2
4 4
6 9
68
SO
134
110
96
110
8 Z
2 2
145
8 6
6 5
90
36
129
86
9 7
280
78
120
138
81
104
104
219
2 9
2 5
2 8
6 1
3 6
211
192
138
183
73
90
7 3
62
72
120
116
119
6 8
138
169
54
2 7
38
27
4 8
27
3 4
6 8
8 2
90
7 0
79
6 5
8 4
68
5 1
79
86
70
77
90
60
149
124
101
127
8 8
24
159
9 4
7 1
106
40
129
104
123
880
78
227
183
90
125
159
235
35
33
34
6 8
4 4
887
227
159
221
78
104
9 0
6 5
8 5
141
129
135
8 4
252
178
57
31
4 8
2 9
4 9
3 1
4 3
78
86
101
76
87
65
9O
78
145
8 5
97
76
86
104
70
171
138
138
146
112
2 7
183
104
7 8
138
4 8
134
126
130
371
9 0
243
227
120
135
183
399
38
4 4
3 9
8 4
5 5
262
249
243
249
9 0
116
104
7 3
108
159
148
152
180
371
192
6 2
4 4
5 4
3 3
56
4 4
4 9
9 0
97
115
9 0
108
68
97
8 6
145
9 5
108
9 0
100
132
80
280
159
159
176
180
29
287
171
90
173
5 6
138
138
138
371
120
328
280
138
155
291
448
40
5 1
4 4
112
71
280
880
858
271
104
138
180
90
125
211
159
175
159
308
211
6 8
4 8
6 1
4 0
6 2
4 8
5 8
113
138
138
118
134
78
104
99
158
138
189
112
134
149
90
322
305
103
343
159
3 8
880
280
159
255
8 4
138
151
151
565
120
371
371
151
343
318
516
4 4
7 8
59
159
109
308
371
3BO
316
159
343
1 b 3
138
1 a 3
347
183
855
822
347
459
97
59
6 8
4 Z
90
5 9
67
129
165
347
197
183
90
843
120
152
156
338
197
178
183
-------
TABLE 3. BENZENE SOLUBLE ORGANIC MATTER—URBAN STATIONS—STATE TOTALS
53
STATE OR REGION
CONNECTICUT TOTAL
MAINE TOTAL
MASSACHUSETS TOTAL
NEW HAMPSHRE TOTAL
RHODE ISLAND TOTAL
VERMONT TOTAL
DELAWARE TOTAL
NEW JERSEY TOTAL
NEW YORK TOTAL
PENNSYLVANIA TOTAL
OIS COLUMBIA TOTAL
KENTUCKY TOTAL
MARYLAND TOTAL
NO CAROLINA TOTAL
PUERTO RICO TOTAL
VIRGINIA TOTAL
WEST VIRGINA TOTAL
ALABAMA TOTAL
FLORIDA TOTAL
GEORGIA TOTAL
MISSISSIPPI TOTAL
SO CAROLINA TOTAL
TENNESSEE TOTAL
ILLINOIS TOTAL
INDIANA TOTAL
MICHIGAN TOTAL
OHIO TOTAL
WISCONSIN TOTAL
IOWA TOTAL
KANSAS TOTAL
MINNESOTA TOTAL
MISSOURI TOTAL
NEBRASKA TOTAL
NORTH DAKOTA TOTAL
SOUTH DAKOTA TOTAL
ARKANSAS TOTAL
LOUISIANA TOTAL
NEW MEXICO TOTAL
OKLAHOMA TOTAL
TEXAS TOTAL
COLORADU TOTAL
IDAHO T '" T A L
MONTANA TOTAL
UTAH TOTAL
il Y 0 i/ 1 11 d TOTAL
ALASKA TOTAL
ARIZONA TOTAL
CALIFORNIA TOTAL
HAWAII TOTAL
iMEVADA TOTAL
OREGON TOTAL
WASHINGTON TOTAL
YEARS
55 57
5 7
55 57
5 7
57
5 7
5 7
55 57
55 57
55 57
55 57
55 57
56 57
5 7
5 7
57
55 57
5 7
55 57
55 57
5 7
5 7
55 57
55 57
55 57
56 57
55 57
5 7
5 7
55 57
55 57
55 57
5 7
57
5 7
5 7
55 57
5 7
57
55 57
55 57
5 7
5 7
55 57
57
55 57
5 7
55 57
56 57
57
55 57
5 7
No. OF
SAMPLES
1 3 0
1 o
2yJ
1 7
2 7
2 6
2 0
311
341
1 3 4 y
8 7
7 B
5 3
5 1
2 1
5 1
9 y
S 5
111
116
Z 4
5 3
172
267
272
181
397
4 b
2 6
6 9
166
334
5 2
2 4
3 6
2 6
135
2 2
2 0
300
y 2
3 4
2 5
7 5
2 7
4 2
2 6
467
6 3
3 6
137
2 5
(MICROGRAMS PER CUBIC METER) x 10'
MIN
1 2
1 5
1 0
1 0
J 3
d
3 8
1 b
1 7
7
9
1 5
3 5
1 2
1 6
2 5
2 4
9
3 5
b
2 4
y
d
1 9
7
3 1
9
6
1 d
y
7
2 4
1 7
5
2 4
1 6
6 1
b
1 2
1 7
3 5
2 9
b
1 0
3 7
b
b
2 5
b
1 6
MAX
440
3 9 0
fi 1 5
107
700
4 5
410
467
403
829
550
706
9 5 2
531
118
198
437
214
247
R 0 3
230
350
733
618
490
417
1231
? 1 2
183
385
446
745
175
9 0
7 5
174
558
410
6 7
405
424
? 3 7
4 2
467
9 6
533
587
790
107
167
438
232
AVG
1 0 J
9 B
9 1
5 3
111
3 4
125
100
8 6
137
119
130
167
107
4 8
8 4
126
9 1
7 1
130
5 3
113
142
150
124
8 1
5 4
7 1
7 2
6 2
8 5
142
6 3
3 8
3 3
5 8
101
180
3 6
7 1
132
8 8
3 1
121
4 3
105
164
138
4 0
7 6
9 8
9 9
FREQUENCY DISTRIBUTION— PERCENT
10
4 3
2 9
3 1
3 5
5 1
1 4
5 5
4 3
3 3
4 9
36
5 2
59
3 3
1 6
3 6
4 4
4 1
33
5 1
8
38
5 1
3 9
4 4
2 9
4 3
2 9
3 3
39
36
37
3 3
1 6
2 2
2 7
34
7 8
a
£ 3
5 3
4 0
8
4 7
1 7
3 3
5 1
3 1
1 7
38
4 0
3 3
20
b 2
5 1
4 4
3 U
5 6
1 6
6 5
5 3
4 3
6 a
4 6
6 3
8 4
4 5
2 3
4 8
5 6
5 1
4 1
6 6
1 8
4 6
6 1
6 1
57
37
5 5
4 3
4 1
3 2
4 7
6 6
3 9
3 5
2 4
3 8
4 2
8 6
17
3 2
7 0
4 6
9
5 6
2 5
4 u
6 8
4 9
2 1
4 4
4 7
4 4
30
5 8
5 5
58
3 3
6 5
2 2
8 0
6 4
50
8 2
5 9
6 8
92
4 9
3 3
5 4
76
71
4 8
7 5
1 9
5 4
7 3
7 8
7 3
50
7
4 9
4 6
3 6
5 4
8 6
4 4
2 8
2 8
3 3
5 5
9 9
2 1
4 0
8 3
51
1 6
6 9
27
4 9
7 8
M 7
2 5
5 3
57
6 4
40
6 b
6 b
6 6
3 b
7 5
2 3
8 b
7 6
6 1
100
8 7
8 5
102
5 4
4 1
59
9 2
7 d
5 5
8 2
3 3
6 d
8 9
103
8 7
6 0
8 0
6 1
4 9
4 0
6 3
9 8
4 7
3 4
30
4 0
6 a
138
2 3
4 7
9 6
59
1 d
7 7
3 1
6 b
8 4
8 5
2 d
5 7
6 9
68
50
d 5
d 2
7 5
4 4
8 6
2 4
97
b 6
7 1
116
109
9 6
125
7 1
4 9
7 1
101
9 0
6 3
d 8
3 6
7 8
113
124
103
6 7
6 5
5 5
4 3
7 1
113
4 9
3 6
38
4 4
d 4
159
3 4
5 5
110
8 3
2 2
9 0
3 6
8 0
104
105
3 4
68
77
9 0
60
105
9 0
8 9
5 1
9 7
2 5
109
9 8
8 3
133
130
110
138
107
5 5
8 7
115
9 5
7 0
104
4 1
104
132
149
118
7 9
7 1
6 8
5 0
7 9
133
5 S
3 8
4 3
4 8
97
183
2 5
6 5
137
8 8
2 4
106
4 0
9 7
159
134
4 3
7 8
8 6
104
70
122
138
109
5 9
110
3 0
129
114
102
156
153
138
165
126
6 1
109
134
103
d 1
130
5 1
138
156
167
144
9 3
8 2
b 4
5 7
9 1
157
6 6
4 3
4 6
5 0
113
311
2 8
7 9
146
112
2 7
138
4 8
127
183
158
4 9
9 0
100
132
80
149
149
128
7 8
120
32
159
133
133
190
177
177
202
159
6 4
138
190
113
9 5
145
7 3
189
191
336
177
109
9 0
9 5
104
8 1
118
200
8 2
5 1
5 1
8 6
131
280
3 3
9 8
176
120
2 9
173
5 6
142
291
206
5 8
112
134
149
90
1 y 2
171
1 b 6
9 7
159
3 S
232
175
154
341
207
343
371
327
n 8
1 5 1
237
159
120
1 d 3
120
255
271
295
241
143
d 0
120
138
132
146
2 o 0
101
6 8
5 9
104
204
322
4 2
138
243
159
3 8
255
d 4
1 b 3
312
275
ft 7
139
178
1 d 3
-------
54
TABLE 3. BENZENE SOLUBLE ORGANIC MATTER—URBAN STATIONS—REGIONAL AND GRAND TOTALS
STATE OR REGION
NEW E N G L N D TOTAL
MID ATLNTC TOTAL
MID EAST TOTAL
SOUTH EAST TOTAL
MID WEST TOTAL
CRT PLAINS TOTAL
GULF SOUTH TOTAL
ROCKY MNTN TOTAL
PAC COAST TOTAL
GRAND TOTAL
YEARS
55 57
55 57
55 57
55 57
55 57
55 57
55 57
55 57
55 57
55 57
No. OF
SAMPLES
511
1829
440
501
1065
697
503
253
785
6584
(MICROGRAMS PER CUBIC METER) x 10''
MIN
8
7
9
7
5
a
8
MAX
700
829
952
803
618
745
558
467
790
952
AVG
9 1
124
119
111
119
104
8 1
102
119
113
FREQUENCY DISTRIBUTION — PERCENT
10
29
4 4
38
38
38
3 1
2 4
26
2 9
3 4
20
4 2
59
5 1
SO
53
4 1
33
4 1
4 3
4 7
30
5 3
7 3
6 1
6 2
6 5
50
4 1
52
56
6 0
40
6 3
87
7 9
7 2
7 8
63
50
6 8
7 1
7 4
50
74
104
9 5
8 3
9 4
8 0
6 0
8 2
8 6
8 8
60
8 8
121
112
9 8
113
9 5
7 5
9 8
105
106
70
109
139
135
120
139
117
9 1
117
132
128
80
129
173
166
153
174
146
115
149
170
159
90
169
224
220
307
3 0
207
157
201
248
218
-------
TABLE 3. BENZENE SOLUBLE ORGANIC MATTER—SUBURBAN STATIONS
55
STATION LOCATION
MIDDLESEX CNTY MASS
LAKEHURST N J
KANAWHA CO W VA
HILLSBOROUGH CO FLA
FULTON CO GEORGIA
DENVER COUNTY COLO
SALT LAKE CO UTAH
MULTNOMAH CNTY ORE
GRAND TOTAL
SITE
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
YEARS
5 5
5 6
55 56
5 5
56
55 56
5 5
5 6
55 56
5 5
56
55 56
5 5
5 5
5 6
55 56
5 5
5 5
55 56
No. OF
SAMPLES
2 6
4 4
7 0
1 7
1 7
3 4
1 7
7
2 4
1 9
2 5
4 4
7
2 0
3 0
5 0
7
5
241
1MICROGRAMS PER CUBIC METER) x 1Q-'
MIN
1 7
9
9
1 9
2 4
1 9
2 5
3 6
2 5
1 6
1 0
1 0
3 9
9
1 3
9
1 7
1 9
9
MAX
120
200
200
116
124
124
162
187
187
111
8 0
111
6 0
7 7
158
158
5 0
7 3
800
AVG
6 1
4 8
5 2
4 0
4 5
4 2
6 4
8 3
6 9
3 9
3 3
3 6
4 8
3 4~
5 3
4 5
3 0
4 6
4 7
FREQUENCY DISTRIBUTION— IStCENT
10
2 5
19
2 0
2 1
2 4
2 2
2 5
38
2 5
18
1 3
1 7
4 1
1 0
2 3
18
1 7
1 9
1 9
20
2 8
26
2 7
2 2
2 S
2 4
36
3 8
38
1 9
1 8
19
4 1
18
2 4
2 2
17
19
2 4
30
4 8
3 2
3 4
2 5
3 1
3 0
4 4
4 6
4 5
2 8
2 2
25
4 4
1 9
3 5
2 4
2 4
38
30
4O
5 5
3 7
4 0
3 1
32
3 2
5 1
4 9
50
3 1
27
29
4 6
2 1
4 5
34
2 5
38
3 5
50
6 2
4 2
4 7
3 3
3 6
3 3
5 5
5 1
5 3
3 4
3 1
3 1
4 9
2 9
4 7
39
2 9
5 1
4 0
60
6 7
4 6
5 3
3 5
3 8
36
5 7
5 1
5 6
3 6
3 2
3 4
4 9
36
56
4 9
29
5 1
4 7
70
7 3
5 0
6 2
3 8
5 1
4 2
8 2
5 9
8 2
3 8
3 8
38
5 1
4 1
6 2
57
36
5 9
5 3
80
9 3
5 9
6 8
4 2
5 9
5 1
9 0
159
90
4 8
4 4
4 6
5 9
5 9
7 2
7 1
3 8
59
6 5
90
9 8
7 3
9 5
4 4
6 8
7 8
104
159
159
5 9
6 8
6 8
5 9
7 1
8 2
7 7
3 8
7 8
8 6
-------
56
TABLE 3. BENZENE SOLUBLE ORGANIC MATTER— NONURBAN STATIONS
STATION LOCATION
LITCHFIELD CNTY CONN
ACAOIA N A T N L PARK ME
M T MANSFIELD FRST VT
WORCESTER COUNTY MD
CAPE HATTERAS NC
SHENANDOAH PARK VA
HOLLY RIVER PK l» V'
GULF SHORES PARK ALA
FLORIDA KEYS FLORIDA
OATLAND ISLAND GA
JACKSON COUNTY MISS
FT DONELSON TENN
SANGAMON COUNTY ILL
HURON COUNTY MICH
PERRYS MEMORIAL OHIO
ELLIS COUNTY KANSAS
COOK COUNTY MINN
SHANNON COUNTY MO
THOMAS COUNTY NEBR
WARD COUNTY N D
BLACK HILLS FRST S D
CRATERS MOON IDAHO
YELLOWSTONE PARK HYO
PT WORONZOF ALASKA
GRAND CANYON ARIZ
WAIMANOLO HAWAII
GRAND TOTAL
s
SITE
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
1
YEARS
5 5
56
55 56
5 7
5 7
5 7
57
57
5 7
5 7
57
5 7
5 7
5 7
5 7
5 7
5 7
57
5 7
57
57
5 7
c -7
3 I
5 7
5 7
5 5
5 6
5 7
55 57
57
57
55 57
No. OF
SAMPLES
1 6
2 4
4 0
1 8
7
2 4
8
2 5
2 5
1 3
1 4
1 6
2 0
1 7
1 6
3 4
8
1 1
1 8
1 8
1 2
13
2
5
7
4 2
6
5 5
2 6
2 3
473
(MICROGRAMS PER CUBIC METER) x Ifr1
MIN
8
1
1
9
8
2 3
2 5
8
1 0
8
7
9
1 7
6
8
9
8
2 1
4
8
MAX
3 2
96
9 6
3 9
1 7
159
133
6 1
2 6
S 3
3 0
158
3 2
4 8
7 3
3 4
4 3
2 6
4 4
30
5 3
2 5
2 0
8
4 3
135
124
2 3
135
8 4
4 9
159
AVG
1 9
2 3
2 1
1 9
1 0
6 7
4 1
1 7
1 8
9
1 5
3 8
2 0
1 9
2 8
1 5
2 4
1 2
2 0
1 0
2 6
1 1
1 2
4
1 5
5 7
2 4
1 2
8 7
1 0
2 0
2 2
FREQUENCY DISTRIBUTION — PERCENT
10
8
7
8
1 0
7
3 1
2 5
7
8
1
1
17
8
7
1 5
7
1 5
6
8
1
8
1
1
7
2 2
4
1
4
1
8
7
20
1 4
9
1 4
1 3
7
4 9
2 6
8
1 4
6
8
1 9
1 5
8
1 6
8
16
6
1 4
7
9
7
7
2 2
6
1
7
5
9
8
30
1 5
1 5
1 5
1 7
8
5 2
2 6
9
1 5
7
8
2 2
1 5
1 4
i a
8
1 6
7
1 5
7
1 8
7
1
8
2 9
8
8
8
7
1 5
1 0
40
16
1 6
16
18
8
5 6
27
1 5
16
7
1 5
2 5
1 6
1 6
19
14
17
7
1 6
7
19
8
1
8
38
9
8
10
8
1 6
1 5
50
1 7
1 7
1 7
1 9
8
5 9
2 7
1 5
1 7
8
1 5
2 9
1 7
2 0
2 4
1 5
1 9
8
1 7
8
2 6
8
1
8
4 4
1 1
8
2 0
8
1 7
1 6
60
1 9
2 3
2 2
20
8
6 4
2 8
1 6
1 8
8
1 6
3 2
2 3
2 1
26
1 6
2 7
9
2 3
1 5
2 8
1 5
1
8
4 4
2 2
16
2 3
8
1 8
1 9
70
2 2
2 7
24
2 1
9
7 8
2 9
1 7
2 3
1 4
1 7
3 3
2 4
2 3
2 8
1 7
2 9
1 6
2 4
1 6
2 9
1 6
1
9
5 9
2 5
16
3 0
9
2 3
2 4
80
2 4
30
29
2 1
16
8 4
29
1 9
a 4
1 5
17
51
2 9
25
33
1 9
29
1 7
2 5
16
38
1 6
1Q
y
8
9
90
3 8
17
4 4
9
25
2 9
90
2 5
3 8
3 2
2 9
1 6
104
3 3
3 8
2 6
1 7
2 5
S 5
3 1
3 3
4 4
2 8
3 8
2 5
3 1
1 7
5 5
2 2
20
C,
8
4 4
90
S 7
1 7
5 9
1 1
4 1
4 3
-------
TABLE 3. BENZENE SOLUBLE ORGANIC MATTER— URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x Ifr'
57
STATION LOCATION
WATERBURY CONN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HARTFORD CONN
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
NEW HAVEN CONN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
STAMFORD CONN
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
PORTLAND MAINE
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BOSTON MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PITTSFIELD MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EVERETT MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LAWRENCE MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LYNN MASS
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
SOMERVILLE MASS
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
WORCESTER MASS
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N | M U M
MANCHESTER N H
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 U U M
PROVIDENCE R 1
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BURLINGTON VT
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
WILMINGTON DE
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
YEARS
55 56
5 7
5 7
57
57
55 57
55 56
55 56
57
57
57
5 7
57
57
5 7
5 7
JAN
1
174
174
174
3
118
115
112
2
106
7 4
4 3
2
6 4
5 A
4 4
6
615
222
06
1
4 0
4 0
4 0
4
265
167
6 8
2
1 7
1 7
1 7
2
7 3
4 5
1 7
3
121
106
9 1
3
101
9 2
8 3
2
3 4
2 4
1 4
2
215
141
6 8
FEB
3
206
132
5 8
2
245
181
118
2
148
101
5 4
2
167
146
125
1
1.26
126
126
6
173
128
8 6
2
5 0
4 0
3 1
5
9 5
7 4
4 S
2
7 0
4 8
2 7
1
6 8
6 8
6 8
2
6 5
5 8
5 2
3
110
89
6 9
1
7 3
7 3
7 3
2
700
400
101
3
4 5
30
2 2
2
136
8 8
4 1
MAR
S
186
144
8 3
3
440
205
6 0
2
107
8 0
5 3
2
9 7
57
1 7
2
162
120
7 9
6
225
155
7 0
2
4 7
4 4
4 1
4
291
162
9 4
3
6 1
3 9
2 0
1
7 4
7 4
7 4
3
9 4
5 9
3 3
3
8 2
7 6
6 6
2
5 5
4 7
3 9
2
121
110
115
1
3 1
3 1
3 1
3
235
201
167
APR
4
145
124
9 4
2
73
6 7
62
3
60
4 9
38
2
6 8
5 7
4 6
2
151
112
7 4
6
310
139
54
2
3 3
2 7
2 1
4
8 3
7 2
6 1
1
1 9
19
1 9
2
240
147
5 4
2
120
9 3
66
1
9 2
9 2
92
2
9 9
57
16
1
6 2
62
6 2
2
33
28
24
2
107
9 8
90
MAY
4
144
7 3
4 0
3
100
8 0
6 1
3
5 4
4 0
2 7
3
8 3
5 7
3 5
2
5 2
3 3
1 5
6
238
136
7 1
2
3 9
3 5
3 3
5
153
7 1
3 6
3
4 1
3 5
2 9
3
7 1
4 5
2 1
1
5 9
5 9
5 9
2
S 3
5 1
30
3
4 9
4 5
4 3
1
7 0
7 0
7 0
3
2 4
2 4
3 4
3
118
9 6
7 9
JUNE
3
130
9 7
4 8
1
54
54
54
1
6 1
6 1
6 1
3
9 6
7 6
5 6
3
5 4
4 0
26
7
110
7 8
4 8
2
3 1
26
2 2
4
111
a 2
5 3
2
3 9
3 5
3 2
3
187
133
a o
2
7 5
5 8
4 1
3
7 9
7 1
57
1
3 3
3 3
3 3
3
53
4 4
3 3
3
35
1 9
1 5
3
145
9 1
3 8
JULY
5
9 6
6 1
1 2
3
5 9
5 0
34
3
7 5
5 8
4 3
3
9 7
7 7
5 9
2
4 9
4 4
3 9
1 3
113
7 2
35
2
4 0
4 0
4 0
9
146
6 8
38
2
6 0
39
1 9
2
126
123
119
3
4 7
3 7
2 4
3
6 7
5 0
3 3
1
3 3
3 3
3 3
2
8 5
7 9
7 3
2
3 4
2 1
8
2
8 7
7 2
5 7
AUG
6
8 7
6 3
38
3
5 3
5 1
5 0
Z
9 9
9 Z
B 5
1
6 4
6 4
6 4
1 1
162
9 4
62
2
2 7
1 8
1 0
9
318
114
4 6
3
8 9
64
3 9
1
134
134
134
2
9 1
7 5
6 0
2
59
4 1
3 4
2
56
4 3
3 1
3
78
7 0
6 5
2
33
2 4
1 5
3
108
8 2
5 3
SEPT
5
112
8 0
4 9
2
130
105
8 1
1
148
148
148
3
119
7 8
5 7
1
7 9
7 9
79
1 0
124
9 1
5 3
3
117
8 5
70
8
190
111
72
3
117
7 5
2 9
2
6 8
S 4
4 1
3
76
5 7
4 8
3
78
6 0
3 4
1
68
6 8
6 8
1
47
4 7
4 7
2
32
2 4
1 6
1
6 7
67
6 7
OCT
7
235
140
4 9
2
89
6 7
4 5
3
160
9 5
4 8
1
127
127
127
1
290
390
290
1 1
231
161
11?
3
6 1
3 0
1 1
8
283
139
4 8
3
2 9
25
3 2
3
333
187
7 6
3
4 8
4 1
3 4
2
6 2
54
4 6
3
107
7 2
37
6
172
113
83
2
3 4
28
2 3
3
9 6
8 1
67
NOV
6
281
178
50
3
181
108
26
1
172
172
172
2
50
4 a
4 7
3
146
130
114
10
179
137
8 1
2
26
2 1
1 6
5
236
107
62
2
133
94
6 6
3
5 3
4 3
33
2
65
62
59
1
137
137
137
1
24
24
24
1
146
146
146
3
24
16
8
5
333
170
79
DEC
6
262
163
5 d
2
232
173
115
2
199
165
131
3
217
122
7 2
3
171
104
6 4
7
202
146
9 4
2
6 b
5 1
35
4
103
7 5
3 4
2
70
51
3 3
2
80
7 5
70
2
7 7
54
33
3
87
4 9
2 4
2
101
69
37
3
167
9 1
52
2
33
29
26
1
410
410
410
-------
58
TABLE 3. BENZENE SOLUBLE ORGANIC MATTER—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 1O'
STATION LOCATION
ELIZABETH N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PAULSBORO N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CAMDEN N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PERTH AMBOY N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TRENTON N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
JERSEY CITY N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
EAST ORANGE N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NEWARK N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NEW YORK N Y
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MU M
BINGHAMTON N Y
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
BUFFALO N Y
NUMBER OF SAMPLES
MAX! MUM
AVERAGE
Ml M | M U M
SCHENECTADY N Y
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
SYRACUSE N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
U T 1 C A N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PHILADELPHIA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ALTOONA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
YEARS
55 56
55 56
55 57
55 56
55 56
55 57
5 7
57
55 57
57
5 7
5 7
5 7
57
55 57
55 56
JAN
3
98
6 1
3 5
4
134
103
7 0
6
155
1 1 a
7 2
5
194
08
2 9
4
6 B
5 0
4 1
5
467
190
6 3
3
3 1
2 2
1 8
2
105
0 9
7 4
6
239
124
33
2
160
100
4 1
2
35
2 8
22
1
4 8
4 8
4 8
2
3 8
3 4
3 0
2
102
0 0
5 8
5 1
730
174
43
FEB
4
109
77
4 6
4
183
129
9 8
6
213
114
4 4
3
115
8 4
5 9
4
302
150
5 3
6
199
125
8 6
2
201
121
4 1
2
102
8 5
6 8
9
344
151
5 4
2
8 2
7 4
6 6
2
4 6
3 6
26
2
8 2
5 7
3 3
3
118
6 7
3 8
2
139
9 5
5 1
6 1
721
185
3 2
1
173
173
173
MAR
3
12 b
8 5
4 5
3
8 2
7 3
6 2
5
245
153
8 4
3
9 5
7 7
56
3
6 7
6 4
6 0
5
197
119
4 9
3
2 6
2 0
1 6
2
300
185
7 0
9
186
122
7 1
3
173
97
4 8
2
123
9 6
7 0
3
5 1
3 6
2 5
2
137
101
6 5
2
8 4
7 0
56
6 6
400
161
4 B
1
230
230
230
APR
4
6 8
54
4 2
4
5 7
4 8
4 1
6
189
112
5 5
3
80
56
4 3
3
133
77
29
6
130
85
48
1
151
151
151
3
378
192
7 4
7
159
118
6 2
1
108
108
108
2
343
196
50
2
26
25
25
1
4 7
47
47
2
9 1
71
52
6 1
829
177
34
2
74
6 3
52
MAY
4
6 1
4 7
39
6
161
121
7 7
3
150
102
7 7
4
5 3
4 7
4 3
6
103
a o
5 9
2
8 6
5 5
2 5
1
5 2
5 2
5 2
9
165
9 1
3 6
3
9 6
6 9
4 1
2
122
7 8
3 4
2
5 3
5 0
4 7
3
9 3
7 2
47
3
36
31
26
7 8
522
145
4 8
3
188
139
9 8
JUNE
2
105
9 2
80
2
123
101
7 9
1
145
145
145
2
8 3
77
7 1
7
127
8 2
17
2
4 9
4 0
32
3
181
144
114
1
4 2
4 2
4 2
1
109
109
109
1
4 4
4 4
4 4
66
281
133
53
3
5 0
40
35
JULY
4
1 2 S
-8 6
6 5
4
117
9 2
7 3
5
138
9 1
6 6
4
106
8 1
6 1
8
8 1
5 8
36
7
176
110
67
2
75
5 3
3 1
1
4 7
4 7
4 7
15
104
55
18
2
3 4
3 3
3 3
2
8 8
8 3
7 9
2
36
3 2
28
3
9 6
6 2
46
3
5 0
4 0
34
99
383
106
2 3
AUG
4
132
108
6 2
3
107
6 9
2 3
6
113
9 3
5 9
3
119
77
4 6
2
56
4 6
36
6'
238
118
7 4
2
9 2
8 0
69
1
63
6 3
6 3
1 5
189
7 9
2 3
2
68
6 5
6 3
1
7 0
7 0
7 0
2
35
27
1 9
2
8 6
7 4
6 3
1
8 3
8 3
8 3
79
303
111
34
3
110
6 3
4 0
SEPT
4
275
150
8 6
4
160
9 3
5 2
6
163
79
3 0
3
5 4
4 8
4 5
5
160
102
67
2
173
130
88
2
5 1
5 0
4 9
1 6
130
8 3
4 4
2
50
4 7
4 4
2
106
105
105
2
5 4
4 4
35
2
71
69
6 8
3
120
72
4 8
89
343
125
2 4
3
8 9
74
6 3
OCT
1
6 3
6 3
6 3
4
105
6 4
3 9
4
100
78
57
2
105
76
47
3
80
4 6
18
7
140
9 2
63
2
7 4
67
6 1
1 4
402
142
58
3
7 5
6 0
44
1
79
7 9
79
2
236
132
2 9
2
112
9 0
68
2
112
69
2 6
77
340
137
16
5
490
171
50
NOV
2
284
222
161
3
142
107
85
7
321
160
9 1
3
181
104
47
3
191
123
53
5
225
146
109
1
24
24
24
7
272
125
59
2
81
74
67
1
114
114
114
2
57
52
47
3
383
130
44
2
125
80
35
9 3
616
180
42
3
200
142
83
DEC
4
249
104
2 7
4
75
59
50
6
214
134
5 4
4
184
130
6 7
4
3 1 8
133
51
5
220
168
104
2
35U
253
148
17 U
90
24
2
71
66
62
1
5 0
50
50
1
3 7
37
37
3
137
9 2
4 8
2
6 9
S 5
4 2
76
738
820
44
3
179
142
112
-------
TABLE 3. BENZENE SOLUBLE ORGANIC MATTER—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x Ifr'
59
STATION LOCATION
BRISTOL PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHESTER PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
ERIE PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
PITTSBURGH PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
WILLIAMSPORT PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
M| N 1 M U M
ALLENTOBN PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
JOHNSTOWN PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LANCASTER PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SCRANTON PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
WASHINGTON DC
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
LOUISVILLE KY
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BALTIMORE MD
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
CHARLOTTE NC
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
WINSTON SALEM NC
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN JUAN PUERTO RICO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
NORFOLK VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
55 56
55 56
55 56
55 57
55 56
5 7
5 7
57
5 7
55 57
55 57
56 57
5 7
57
57
5 7
JAN
4
0 6
6 9
6 0
4
100
7 5
4 4
2
5 2
4 2
3 Z
5
109
113
4 0
6
160
122
9 0
2
208
157
106
2
170
166
163
2
217
las
153
3
6 2
5 7
5 0
2
148
146
145
FEB
3
7 1
5 9
5 3
4
309
124
6 0
5
106
6 3
33
6
147
121
6 3
3
240
5 8
2
295
221
147
5
365
184
87
5
198
125
5 8
2
103
102
102
2
158
117
76
2
298
173
4 9
1
2 7
2 7
2 7
Z
145
125
106
MAR
3
224
106
3 5
1
7 3
7 3
7 3
3
8 4
7 4
6 4
5
200
136
7 2
4
143
133
1
7 2
7 2
7 2
3
163
9 9
6 3
6
210
110
4 8
4
9 5
76
6 7
2
140
113
8 7
2
128
124
120
2
144
124
105
2
6 3
4 2
2 1
3
98
7 1
5 5
APR
3
55
37
1 8
4
9 2
5 3
24
4
8 5
55
4 1
6
309
147
4 7
3
209
153
117
1
65
65
65
1
235
235
235
1
233
233
233
2
45
4 1
37
6
550
155
3 1
3
132
9 1
5 7
3
336
177
65
2
121
118
116
3
5 5
5 2
5 0
1
5 2
52
5 2
1
84
84
84
MAY
3
7 0
5 0
3 6
4
100
6 a
2 3
4
5 4
4 7
4 1
6
224
146
9 4
4
197
10 £3
O 0
8 7
2
6 8
5 6
4 5
1
106
106
106
1
7 7
7 7
7 7
2
118
8 7
5 6
7
169
7 0
3 1
3
268
138
4 8
2
124
7 4
2 5
2
5 3
5 0
4 7
2
5 9
5 2
4 5
2
115
8 3
5 1
JUNE
4
7 3
4 8
2 4
7
239
140
2 1
4
190
128
9 9
2
8 1
69
51
3
6 9
4 4
1 8
2
7 0
69
6 9
2
123
8 6
4 9
6
229
103
9
3
100
7 8
67
6
202
9 7
5 2
3
4 2
3 2
2 3
2
37
37
37 '
2
118
8 5
5 3
2
3 8
35
33
JULY
4
109
65
4 0
4
130
79
5 1
4
4 3
35
31
19
98
6 1
1 0
4
187
IP o
O C
4 4
2
6 5
6 4
6 3
1
7 3
7 3
7 3
2
6 2
6 0
5 9
2
5 8
4 1
2 4
a
157
8 8
28
8
105
7 8
5 5
5
160
116
8 6
2
7 2
6 1
5 1
2
5 2
5 2
5 2
2
4 2
2 9
1 7
3
6 3
5 2
3 4
AUG
3
9 0
56
2 5
4
9 4
68
4 3
4
4 8
3 0
2 4
1 6
223
124
69
5
154
11 R
J. O
97
3
9 7
7 7
56
2
160
106
5 3
2
7 2
6 9
6 6
2
114
7 8
4 3
1 2
140
62
1 9
1 2
276
9 9
3 0
8
177
102
5 1
2
4 9
4 6
4 3
3
6 7
4 8
2 2
2
68
6 8
68
2
8 4
69
5 5
SEPT
4
101
76
5 2
4
110
71
3 4
4
6 2
39
1 5
6
230
113
4 1
4
140
128
114
1
4 2
4 2
4 2
1
147
147
147
2
4 3
4 3
4 3
2
8 1
78
75
a
148
111
50
1 4
229
103
29
6
146
119
8 5
2
255
152
4 9
1
2 0
2 0
2 0
2
69
5 6
4 4
2
144
106
68
OCT
4
7 1
38
7
5
120
6 0
4 0
5
6 6
3 3
a
7
361
134
3 2
5
313
O O 1
-------
60
TABLE 3. BENZENE SOLUBLE ORGANIC MATTER—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10'
STATION LOCATION
RICHMOND VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHARLESTON IV VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
WHEELING W VA
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
BIRMINGHAM ALA
NUMBER OF SAMPLES
MAX! MUM
AVERAGE
Ml N 1 M U M
TAMPA FLA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
MIAMI FLA
NUMBER OF SAMPLES
MAX! MUM
AVERAGE
Ml N 1 M U M
ATLANTA G A
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
COLUMBUS GA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
JACKSON MISS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
COLUMBIA SC
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
GREENVILLE SC
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHATTANOOGA TENN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
KNOXVILLE TENN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NaSHVILLE TENN
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
CHICAGO ILL
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
M| N 1 M U M
EAST ST LOUIS ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
5 7
55 57
56 57
57
55 57
57
55 57
5 7
5 7
5 7
b 7
55 57
57
5 7
55 57
55 56
JAN
2
115
103
9 Z
4
308
163
5 2
Z
437
2 U 3
127
2
112
106
101
6
152
7 7
4 0
2
96
96
9 4
6
354
145
0 1
3
6 0
4 7
4 1
2
4 5
4 0
3 5
2
211
140
6 9
2
149
113
7 7
6
204
134
6 5
2
194
163
132
4
197
137
112
1 2
324
175
2 1
8
267
169
7 0
FEB
2
196
168
139
4
366
165
39
2
342
269
196
3
155
9 6
6 4
5
205
120
7 0
2
6 2
6 1
6 1
6
311
155
5 8
2
151
140
129
2
1 8
1 3
8
2
274
184
9 4
2
290
232
175
5
597
259
113
2
213
184
155
2
8 6
7 4
6 3
1 5
403
243
3 1
7
414
144
5 2
MAR
2
140
130
120
1
3 6
3 8
3 8
2
216
150
8 2
1
8 5
8 5
8 5
5
9 5
6 7
4 4
1
111
111
111
5
525
197
6 0
3
9 2
7 3
4 3
2
220
190
177
2
350
257
164
2
7 7
6 2
4 8
1 5
540
175
3 7
2
126
116
106
2
8 7
8 5
8 4
3
6 5
58
5 2
8
293
131
2 1
APR
3
8 0
6 7
56
3
122
8 1
34
3
208
191
168
2
79
6 0
4 2
5
8 1
58
4 4
2
5 3
4 5
3 8
6
105
8 0
6 3
1
108
108
108
2
1 9
14
9
1
55
5 5
5 5
2
246
146
4 7
10
367
142
29
3
209
115
52
2
198
126
54
4
575
229
76
8
341
122
38
MAY
2
4 7
4 5
4 3
6
138
9 1
5 7
1
9 9
9 9
9 9
3
214
8 9
9
7
124
7 6
4 7
3
4 7
3 9
31
5
137
9 3
5 5
3
8 2
5 2
3 5
2
106
5 7
8
2
5 9
4 1
24
4
9 5
7 3
4 9
6
227
115
4 5
1
7 4
7 4
7 4
3
7 2
4 7
3 5
6
237
122
7 5
9
191
8 1
2 5
JUNE
2
37
31
2 5
4
227
133
50
2
103
97
9 1
2
7 2
5 0
2 8
6
122
7 3
3 2
1
3 1
3 1
3 1
5
142
106
8 0
2
4 0
39
3 9
1
18
18
18
3
7 9
5 1
33
3
103
6 1
38
4
173
111
6 0
3
7 4
6 3
5 4
2
126
9 4
6 3
1
5 4
54
5 4
6
151
8 0
2 1
JULY
2
45
4 1
3 7
8
128
8 1
25
6
113
8 5
6 9
2
9 8
9 7
9 6
1 0
8 3
5 7
37
3
7 4
4 8
3 1
1 4
298
106
5 7
2
6 9
5 4
39
3
6 9
4 8
3 2
2
6 0
5 1
4 3
3
4 1
3 4
3 1
15
160
8 5
9
2
6 8
6 0
5 3
2
8 4
6 9
5 4
1 3
256
103
8
8
166
9 2
4 1
AUG
2
4 5
36
2 8
8
119
8 3
4 2
4
124
8 7
5 3
1
108
108
108
1 0
9 9
64
9
2
3 3
3 2
3 1
1 4
136
9 8
4 1
2
8 0
7 5
7 0
3
9 9
59
3 0
3
107
88
5 2
2
106
7 8
5 0
1 S
334
112
3 1
2
136
103
7 1
2
173
144
115
2 2
241
114
2 0
1 4
252
133
4 3
SEPT
2
5 3
5 3
5 3
8
196
111
4 6
4
100
7 4
4 5
2
96
6 8
4 0
9
124
6 4
7
2
4 9
4 4
4 0
a
169
98
6 2
2
5 9
5 0
4 2
1
4 0
4 0
4 0
1
51
5 1
5 1
3
152
114
6 0
1 7
245
117
2 9
3
140
107
75
3
9 1
7 4
5 4
1 7
288
106
2 4
8
333
156
60
OCT
3
139
96
7 5
7
213
115
2 6
5
300
195
102
3
208
112
6 1
1 0
108
6 3
3 7
2
80
7 1
6 3
9
803
249
7 5
3
177
123
36
3
69
4 0
1 4
2
227
139
5 1
2
248
170
9 3
9
497
200
57
1
180
180
180
2
560
322
84
1 9
328
180
4 6
8
618
234
3 3
NOV
1
58
58
58
5
261
9 1
27
3
215
176
107
2
100
9 9
99
7
247
134
51
3
93
53
31
4
185
121
84
2
114
97
8 1
2
67
4 7
27
3
196
149
65
2
292
243
195
9
478
191
67
2
186
173
160
2
78
7 2
67
2 2
500
173
54
7
428
214
88
DEC
3
150
1 2 d
107
5
367
171
4 9
2
405
270
136
2
134
112
90
6
192
79
2
79
56
33
7
385
165
80
2
221
133
4 5
1
38
38
38
1
185
185
185
2
111
9 3
75
7
733
308
56
3
337
266
129
2
5 9
5 5
51
1 4
480
270
108
y
381
188
26
-------
TABLE 3. BENZENE SOLUBLE ORGANIC MATTER— URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x la1
61
STATION LOCATION
SPRINGFIELD ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
EAST CHICAGO 1 N 0
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 ta U M
EVANSVILLE INO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
FORT WAYNE IND
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
INDIANAPOLIS IND
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
DETROIT MICH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
GRAND RAPIDS MICH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
KALAMAZOO MICH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LANSING MICH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
FLINT MICH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CINCINNATI OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YOUNGSTOIVN OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CANTON OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CLEVELAND OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
COLUMBUS OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
TOLEDO OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
57
55 57
5 7
5 7
5 7
56 57
5 7
57
5 7
5 7
55 57
56 57
5 7
5 7
5 7
5 7
JAN
7
2 1 b
137
6 3
2
0 7
6 7
4 b
2
145
120
9 6
1
1 U 1
101
101
1
U 6
8 6
0 6
2
108
U 5
6 3
2
5 2
4 3
3 5
2
6 1
4 8
3 5
2
U 2
7 7
7 3
6
292
140
4 7
2
137
111
8 5
2
183
144
106
2
175
124
7 3
2
167
166
166
2
6 4
4 8
32
FEB
1 4
223
124
3 2
2
9 8
87
77
3
847
173
87
2
8 4
8 4
8 4
2
175
141
107
2
154
128
103
3
7 6
6 3
3 8
2
9 2
6 2
3 2
3
190
126
6 3
5
194
119
3 5
2
180
157
134
2
270
192
115
3
248
166
119
2
116
115
115
2
350
167
8 4
MAR
2
160
103
4 7
2 0
448
173
5 9
3
7 4
5 7
3 9
2
9 0
8 0
7 1
1
120
120
120
9
171
9 2
2 6
2
7 3
6 7
6 2
1
3 0
3 0
3 0
1
6 6
6 6
6 6
1
6 2
6 2
6 2
7
299
141
4 7
2
125
9 1
58
2
220
215
211
2
6 2
5 6
5 0
3
120
8 1
4 0
2
5 4
4 9
4 4
APR
3
8 3
5 9
3 8
1 3
363
177
5 9
1
7 7
77
7 7
2
130
9 7
6 4
2
161
138
115
1 1
118
7 3
2 6
2
7 3
6 9
6 6
3
3 8
2 7
7
4
7 5
6 8
5 0
3
8 3
7 3
6 1
6
108
7 5
4 6
3
173
103
35
2
173
125
7 7
1
150
150
150
2
101
7 0
4 0
3
7 7
6 1
3 8
MAY
2
3 5
3 3
3 2
2 0
190
8 5
2 6
3
5 3
4 0
3 1
2
5 7
5 7
S 7
3
133
108
7 2
1 2
114
6 9
1 3
2
153
110
6 8
2
3 5
3 3
3 2
3
3 4
3 1
2 5
1
141
141
141
6
213
8 5
2 2
2
8 9
7 7
6 5
3
314
176
9 7
3
8 9
7 5
6 6
2
6 2
5 1
4 0
2
5 4
4 6
3 8
JUNE
1
3 2
3 2
3 2
6
154
9 6
5 4
2
5 8
4 0
2 3
2
4 3
3 8
3 4
2
9 9
8 0
6 1
1 1
211
117
27
3
136
8 0
5 2
2
2 7
2 1
1 5
2
6 7
5 0
34
2
132
9 3
5 4
5
319
127
2 6
1
5 2
5 2
5 2
1
4 9
4 9
4 9
2
111
7 4
3 8
2
123
8 9
5 6
2
6 5
5 8
5 2
JULY
3
108
7 9
6 4
2 1
227
8 4
2 9
2
4 3
4 2
4 2
3
5 6
5 0
4 2
2
7 4
4 9
2 5
4
111
8 2
4 3
2
29
2 3
1 7
2
6 0
5 9
5 8
3
8 7
6 9
5 9
1 0
190
8 0
3 3
7
145
8 1
4 5
3
125
9 9
6 6
2
109
9 3
7 8
2
6 1
5 6
5 2
2
132
8 8
4 5
AUG
1
7 2
7 2
7 2
1 3
313
132
6 5
2
4 7
4 3
4 0
1
7 0
7 0
7 0
3
183
148
8 7
9
114
7 6
2 8
3
6 3
5 7
5 1
2
6 5
4 1
1 7
3
101
6 1
3 3
2
7 9
57
3 5
1 0
208
102
2 1
8
180
126
5 5
3
131
105
8 5
2
291
218
146
2
9 7
8 6
7 6
2
5 2
4 7
4 2
SEPT
2
7 1
6 1
5 1
1 9
293
154
4 9
2
8 4
6 2
4 0
2
107
6 9
3 2
2
155
100
4 6
1 0
165
8 6
2 7
1
221
221
221
2
8 6
6 8
5 0
1
3 6
3 6
3 6
2
108
100
9 2
1 1
545
136
2 4
8
276
170
3 6
1
132
132
132
2
9 0
8 1
7 3
3
123
111
9 5
3
234
125
39
OCT
2
115
7 4
3 4
2 5
490
185
5 3
2
5 4
5 3
5 3
4
282
201
127
4
178
138
101
6
417
210
2 5
1
153
153
153
1
2 9
2 9
2 9
2
5 2
4 4
3 6
3
200
116
70
7
235
150
8 4
2
423
350
277
2
265
210
156
Z
141
9 9
57
4
193
129
2 6
2
184
130
7 6
NOV
1
212
212
212
20
249
123
39
1
1 9
1 9
1 9
3
9 3
6 3
3 3
2
102
9 0
7 a
7
195
8 4
15
3
60
4 8
38
2
6 3
55
4 7
2
108
8 4
6 1
7
175
109
5 9
5
490
244
8 2
2
242
193
145
3
187
157
106
3
307
198
70
2
6 1
5 3
4 5
DEC
3
125
6 3
1 9
1 b
339
131
2 8
3
190
103
3 4
2
113
1 0 a
103
2
340
207
6 7
4
132
113
8 2
2
101
8 5
6 9
2
6 4
5 4
4 4
2
4 6
4 1
3 7
1 1
233
149
8 5
4
206
104
4 6
3
1 5 b
9 7
5 9
a
159
133
1 0 a
a
110
1 0 b
107
3
160
9 9
3d
-------
62
TABLE 3. BENZENE SOLUBLE ORGANIC MATTER— URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10'
STATION LOCATION
LORAIN OHIO
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
MILWAUKEE » 1 S
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
M 1 N 1 M U M
RACINE «l 1 S
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
DES MOINES IOWA
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
KANSAS CITY KANSAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
WICHITA KANSAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
MINNEAPOLIS MINN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
DULUTH MINN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
KANSAS CITY MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ST LOUIS MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BRENTWOOD MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
BRECKENRIDGE MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
OMAHA NEB
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LINCOLN NEB
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BISMARCK NO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
SIOUX FALLS SD
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
5 7
5 7
b 7
5 7
55 57
b 7
55 57
i>7
b 5 57
b 5 b 7
55 56
b 5 b 6
5 7
57
5 7
5 7
JAN
2
192
146
100
2
104
U 3
6 2
2
7 7
5 1>
2 9
2
176
118
6 0
S
A 0
3 2
2 4
6
160
9 4
65
1
6 3
6 3
6 3
8
497
206
6 8
1 0
454
239
114
2
0 5
7 5
6 5
4
172
128
6 5
2
6 3
6 0
5 7
2
4 3
4 1
3 9
2
2 7
2 2
1 7
2
5 1
3 7
2 3
FEB
2
172
157
142
2
170
118
6 7
1
6 4
6 4
6 4
2
159
140
121
3
152
111
4 4
3
6 1
4 4
3 2
6
157
116
87
2
7 0
6 3
57
8
301
123
2 6
1 1
4 y 1
312
103
3
540
275
89
S
4 9
4 1
3 4
2
5 0
4 6
4 3
2
7 0
5 7
4 4
2
6 7
5 9
5 1
MAR
2
57
4 9
4 1
2
7 b
6 2
4 6
3
102
7 4
5 3
2
8 8
d 0
7 3
6
170
7 2
4 1
1
S 5
2 5
2 5
6
9 0
6 5
8 6
3
280
1 4 d
7 5
1 0
161
9 0
2 7
1 0
196
135
6 0
4
109
7 S
2 5
2
215
149
8 3
2
9 4
6 7
4 0
2
4 9
4 8
4 8
2
6 0
3 8
1 7
2
6 0
4 2
2 4
APR
2
9 4
8 9
84
3
129
107
66
2
8 1
6 2
4 3
2
8 3
6 9
5 5
5
149
6 8
3 3
3
3 1
30
2 9
6
446
114
3 5
1
4 6
4 6
4 6
8
315
132
28
1 0
141
9 4
7 6
4
56
3 3
15
4
121
7 0
3 6
3
4 0
34
3 1
3
100
7 5
5 6
2
4 2
39
36
3
5 0
3 3
1 7
MAY
2
S 3
5 1
5 0
2
2 8
1 8
9
2
7 1
4 3
1 5
3
9 5
6 2
4 6
6
8 2
5 4
3 3
1
4 1
4 1
4 1
7
173
9 5
5 b
3
7 9
6 5
5 7
1 1
115
7 4
2 5
1 2
189
112
2 8
2
103
6 9
3 S
2
126
9 2
5 8
B
6 2
4 7
3 3
S
6 2
4 7
3 2
2
2 7
2 2
1 7
2
3 3
2 9
2 6
JUNE
3
6 4
5 4
4 0
1
4 2
4 2
4 2
2
6 0
4 6
3 3
2
183
120
5 8
5
8 2
4 4
20
3
4 7
3 4
3 5
7
100
6 4
1 8
2
3 8
2 9
20
5
231
104
3 2
10
146
109
4 1
2
4 9
4 8
4 8
2
4 8
4 3
3 8
2
S 9
2 5
2
4 3
3 4
2 6
JULY
2
8 0
6 2
4 4
2
6 1
S 3
4 5
2
7 2
4 9
2 6
2
4 1
4 0
3 9
7
146
8 1
3 3
3
4 1
3 7
3 5
1 1
127
6 S
9
2
6 9
5 9
5 0
1 1
119
6 0
1 5
1 8
259
126
2 2
2
102
9 0
7 9
2
8 4
6 2
4 1
2
4 4
4 0
36
2
3 3
26
2
2 5
15
5
AUG
2
121
8 7
54
2
6 2
5 3
4 4
2
6 7
5 2
38
2
9 7
6 4
3 2
5
231
117
4 3
2
4 5
4 0
36
3 0
171
7 5
25
2
132
9 1
5 0
1 4
200
9 9
1 5
2 2
198
127
4 6
4
8 2
5 0
2 2
1
9 3
9 3
9 3
2
4 9
4 9
4 9
2
4 8
4 7
4 7
3
3 1
1 7
2
4 B
4 6
4 4
SEPT
2
6 2
4 7
3 2
2
134
124
114
1
7 6
7 6
7 6
2
4 7
4 0
3 3
5
285
9 3
3 0
1
4 7
4 7
4 7
3 4
218
8 4
3 0
2
6 3
5 1
4 0
1 1
300
9 3
1 5
1 9
305
177
5 9
5
203
104
7
4
344
149
5 0
2
7 2
6 4
5 7
2
8 6
7 9
7 2
1
3 5
3 5
2
5 7
4 3
2 9
ocr
3
206
133
9 1
3
86
6 3
50
2
7 0
6 5
6 1
2
3 4
2 0
6
1
5 2
5 2
5 2
2
5 2
4 6
40
1 2
397
138
2 8
3
107
8 4
6 5
1 1
369
121
2 3
1 6
745
254
6 7
3
257
199
105
2
578
346
115
2
121
110
100
3
4 5
3 4
S 4
3
9 0
6 0
3 5
3
7 5
4 5
2 1
NOV
2
109
79
4 9
2
8 5
6 7
4 9
2
212
152
92
2
6 6
57
4 8
3
37
30
18
d
117
7 2
23
2
65
52
4 0
9
199
1 0 d
54
1 3
358
172
8 9
4
437
158
38
3
338
142
42
3
9 6
6 1
58
1
6 7
67
67
2
5 6
5 1
47
2
54
4 2
3 1
DEC
2
533
317
101
2
9 7
9 6
9 S
2
9 S
68
4 2
3
106
6 d
4 9
2
50
4 5
4 0
a
250
109
4 d
2
13b
92
4 7
4
29 a
159
69
9
503
264
116
a
137
117
9 0
1
179
179
179
2
158
154
150
3
175
100
5 1
1
3 6
36
36
2
4 1
3 5
30
-------
TABLE 3. BENZENE SOLUBLE ORGANIC MATTER— URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10-'
63
STATION LOCATION
LITTLE ROCK ARK
NUMBER OF SAMPLES
MAX) MUM
AVERAGE
Ml N 1 M U M
NEW ORLEANS LA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BATON ROUGE LA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ALBUQUERQUE NM
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TULSA OKLA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
FT WORTH TEXAS
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
HOUSTON TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BELLAIRE TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DALLAS TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN ANTONIO TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EL PASO TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CORPUS CHRISTI TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DENVER COL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BOISE IDAHO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
M| N I M U M
HELENA MONTANA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SALT LAKE CITY UTAH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
5 7
55 57
57
5 7
57
55 56
55 57
55 56
5 7
57
57
5 7
55 57
57
5 7
55 57
JAN
2
97
6 8
3 9
1 1
396
102
4 0
2
315
293
272
3
4 4
3 2
2 2
4
156
119
0 6
5
124
7 0
3 6
3
222
154
7 2
2
5 8
4 9
4 1
B
3 2
3 8
2 4
3
107
125
7 2
2
32
1 8
1 5
7
305
221
7 9
7
130
104
0 1
2
2 5
2 2
2 0
6
467
247
7 4
FEB
2
4 0
3 2
2 4
1 0
416
150
3 7
3
112
9 5
8 6
3
287
235
163
4
234
111
5 5
6
141
7 1
3 9
1
4 5
4 5
4 5
2
107
7 5
4 3
3
77
6 0
3 2
2
5 7
4 3
2 9
2
1 5
1 4
1 4
6
209
127
6 5
4
109
8 0
5 1
3
3 2
3 2
3 2
4
255
145
100
MAR
2
141
8 6
3 2
1 2
558
112
2 4
2
176
132
8 8
3
180
114
6 1
2
3 4
3 0
1 6
4
398
118
3 9
6
119
6 7
4 2
3
156
7 8
3 9
3
122
0 9
51
1
4 3
4 3
4 3
2
3 9
2 8
1 8
2
31
2 7
2 3
6
209
127
4 7
4
175
127
8 0
i
3 3
2 3
3 3
2
8 2
6 9
57
APR
3
4 8
4 4
39
9
307
75
2 4
3
103
8 3
6 3
1
25
25
35
4
186
78
3 3
5
122
5 5
38
1
137
137
137
3
66
4 5
25
3
70
6 3
56
3
25
2 1
16
7
183
75
26
2
8 0
66
5 3
2
24
20
17
4
104
7 4
5 8
MAY
2
29
2 8
2 8
9
138
5 8
1 6
3
126
120
114
2
9 8
9 1
8 5
2
2 5
1 6
8
5
6 3
4 5
30
3
5 8
3 8
3 7
3
8 1
4 9
1 7
3
4 9
3 5
2 3
2
4 2
3 5
2 9
2
7 7
4 6
1 S
7
127
7 5
3 7
3
5 7
4 8
4 0
3
1 7
1 1
8
1 0
192
7 2
3 9
JUNE
2
5 1
5 0
5 0
3
7 3
53
4 0
2
105
9 9
9 3
2
9 0
8 7
8 5
1
8
8
8
4
57
3 9
30
4
5 8
39
2 8
2
8 4
6 4
4 5
2
7 9
4 7
16
2
4 1
29
1 7
3
3 9
37
2 6
7
146
8 7
5 3
2
4 1
3 3
2 5
2
2 8
18
8
5
101
7 5
4 5
JULY
3
5 1
4 0
29
8
109
68
21
2
137
9 7
5 8
2
317
186
156
8
6 3
4 9
4 1
1 1
100
5 0
2 1
2
5 1
3 3
1 6
2
58
57
5 7
2
4 7
3 4
2 1
4
6 5
5 3
3 8
2
38
2 3
1 9
1 1
195
103
5 9
2
4 6
39
3 2
2
4 2
25
9
1 0
112
6 7
29
AUG
3
86
52
29
7
100
64
2 7
3
143
119
7 4
1
9 7
9 7
9 7
3
4 3
2 6
1 7
9
100
6 4
2 1
8
151
7 0
1 2
4
89
59
4 1
2
38
37
37
2
4 5
3 3
2 3
2
58
5 1
4 5
2
4 3
30
18
8
180
101
1 7
3
6 4
5 2
2
1 8
1 7
17
1 2
153
8 2
4 0
SEPT
2
174
112
5 0
1 2
238
108
2 1
1
109
109
109
2
125
9 9
74
1
6 7
67
6 7
8
132
86
5 0
1 1
223
122
2 6
2
5 6
4 8
4 0
2
6 5
5 3
4 2
2
3 2
2 7
2 3
3
140
98
3 5
3
4 8
3 3
2 5
10
181
128
70
3
142
9 1
2
2 9
2 8
2 7
6
225
143
7 7
OCT
2
136
108
80
1 0
295
146
84
3
270
207
105
2
241
216
192
2
2 4
2 1
1 8
10
327
109
3 2
1 1
405
144
57
3
9 7
7 4
57
Z
89
54
19
3
7 6
57
2 3
2
129
89
50
1
49
49
49
8
372
137
8 6
3
119
118
3
3 5
2 5
1 5
6
177
121
82
NOV
2
30
28
27
10
194
73
38
2
251
153
5 6
3
385
289
193
3
28
27
25
7
133
8 3
47
11
214
80
20
2
143
89
35
3
147
111
58
2
4 6
34
23
2
118
68
18
3
60
4 2
24
7
339
140
4 9
2
237
197
1
18
18
Ib
4
315
212
75
DEC
3
87
64
4 1
1 0
109
76
26
2
315
175
35
2
410
280
151
2
4 1
3 3
26
4
154
101
82
1 1
276
117
6 3
3
60
59
5 9
1
97
9 7
97
2
7 6
59
4 3
2
173
130
8b
3
3 6
34
30
8
424
363
4 7
1
56
5 6
5JL
D
3
4 1
2 0
6
370
229
149
-------
64
TABLE 3. BENZENE SOLUBLE ORGANIC MATTER— URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x Ifr-
STATION LOCATION
CHEYENNE W Y 0
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ANCHORAGE ALASKA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
PHOENIX ARIZ
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LOS ANGELES CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
SAN FRANCISCO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
PASADENA CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN JOSE CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
SAN LEANDRO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN DIEGO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BURBANK CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
SAN BERNARDINO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HONOLULU HAWAII
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
LAS VEGAS NEVADA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PORTLAND OREGON
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
SEATTLE HASH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
YEARS
57
55 57
57
57
55 57
55 57
55 57
55 56
5 7
57
5 7
56 57
57
55 57
57
JAN
2
0 3
5 8
3 4
1
127
127
127
2
314
299
205
2
249
210
171
6
119
0 0
5 4
6
712
343
132
7
203
102
30
5
536
176
4 7
2
239
107
135
2
570
306
4 2
1
32
3 2
32
2
2 6
2 5
2 5
1
108
108
108
6
187
117
7 2
3
2 14
166
132
FEE
2
9 6
7 0
4 4
3
150
100
4 0
2
242
197
153
2
477
458
440
5
108
53
2 4
6
543
247
111
6
180
99
37
3
183
115
5 1
2
8 4
7 1
5 8
2
300
196
9 2
2
340
250
160
2
6 7
6 1
5 6
1
132
132
132
6
180
79
3 5
2
9 5
79
6 3
MAR
2
8 9
5 2
1 6
2
4 9
4 a
47
2
86
66
47
3
56 1
291
9 0
6
4 2
2 8
1 5
1 0
276
206
4 9
6
100
68
37
4
172
132
7 9
2
136
9 7
5 9
3
275
153
5 5
2
8 6
7 4
6 2
2
6 0
4 8
37
2
122
8 0
3 9
1 3
400
109
3 5
1
137
137
137
APR
3
4 4
33
24
2
153
151
150
2
86
76
6 6
2
490
317
145
5
182
63
17
9
771
201
9
6
62
4 2
25
4
147
89
28
2
64
48
32
2
234
161
88
2
57
53
4 9
3
63
39
27
4
60
5 0
34
7
104
6 6
3 2
2
32
24
16
MAY
1
8
8
a
3
7 4
5 5
4 3
3
120
9 3
7 5
2
150
9 4
3 9
9
8 6
2 6
9
1 2
430
163
6 5
7
7 8
5 5
1 7
5
162
104
6 0
3
4 4
3 5
3 0
2
9 1
7 0
5 O
2
105
9 7
8 9
S
9 3
5 1
2 1
2
39
35
33
3
219
9 8
3
3
145
9 7
6 6
JUNE
3
39
2 1
9
3
8 0
76
7 3
2
59
4 8
37
2
183
151
119
7
101
50
9
3
233
198
142
6
111
6 2
26
3
237
153
103
1
30
30
30
2
7 1
5 8
4 6
3
170
140
100
1 1
6 6
32
15
3
6 9
58
5 2
3
8 6
56
4 1
2
66
4 5
a s
JULY
3
4 7
34
27
7
135
7 9
35
2
106
9 8
9 1
2
106
7 1
36
8
39
26
9
8
270
177
8 0
9
108
4 2
22
1 1
269
115
8 0
3
7 1
4 7
2 3
2
113
8 4
56
5
187
177
162
7
36
23
8
2
7 2
4 8
2 5
1 3
124
7 9
35
2
108
8 7
66
AUG
2
56
4 7
38
3
132
119
9 6
2
77
6 1
4 6
2
229
179
130
5
7 0
4 4
1 7
8
284
209
117
1 2
131
78
4 4
2 1
331
129
7 0
3
7 4
6 2
5 0
3
897
267
245
1
112
112
112
8
5 4
2 9
1 5
2
8 4
65
4 7
4 6
140
7 1
2 5
2
9 5
68
4 1
SEPT
2
9 1
7 4
57
6
1 6B
133
96
2
212
140
69
1
233
233
233
8
66
36
18
7
316
205
8 3
10
195
130
3 4
17
631
179
5 6
1
107
107
107
1
103
103
103
1
459
459
459
5
5 3
4 0
2 2
3
99
79
6 2
2 3
253
111
4 2
3
232
139
69
OCT
2
54
4 1
38
2
109
98
87
3
177
140
82
2
389
315
342
5
131
59
8
7
252
153
76
9
298
133
35
1 3
439
159
68
3
1 4.5
98
53
2
274
233
173
1
231
231
231
4
6 1
4 6
38
2
101
9 3
8 6
8
438
256
69
3
176
171
167
NOV
2
51
35
20
8
532
323
57
2
303
300
297
3
533
345
116
6
166
63
19
5
345
224
85
8
253
136
6b
13
490
225
90
3
242
182
90
4
362
277
9 6
2
790
622
455
6
107
63
24
2
156
102
49
3
243
114
13
1
39
39
39
DEC
3
4 3
36
31
2
312
191
71
2
587
495
404
1
525
525
525
4
335
150
40
3
368
243
9 2
6
216
89
1 7
4
111
7b
50
2
464
32b
192
1
607
607
607
1
167
167
167
4
87
4 3
27
2
167
140
114
6
206
119
28
g
125
89
54
-------
TABLE 3. BENZENE SOLUBLE ORGANIC MATTER— SUBURBAN STATIONS
(MICROGRAMS PER CUBIC METER) x Ifr'
65
STATION LOCATION
MIDDLESEX C N T Y MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LAKEHURST N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
K A N A W H A CO W VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HILLSBOROUGH CO FLA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DENVER COUNTY COLO
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U V
YEARS
55 56
55 56
55 56
55 56
55 56
JAN
4
7 7
3 1
1 3
3
3 5
2 9
1 8
SEPT
8
120
7 1
1 8
4
4 3
3 6
2 5
3
8 7
5 5
3 5
6
4 9
3 2
1 3
4
2 9
1 9
1 0
OCT
9
200
9 5
6 0
1
1 9
1 9
1 9
3
59
5 5
5 3
6
57
3 2
1 9
3
4 3
3 7
19
NOV
5
9 8
6 6
2 7
3
9 6
4 5
30
3
106
53
3 5
4
111
5 5
30
2
7 7
7 3
7 0
DEC
4
2 7
3 2
1 7
3
116
6 3
3 2
3
163
8 1
3 b
2
7 y
4 9
1 9
4
7 1
4 5
1 1
-------
66
TABLE 3. BENZENE SOLUBLE ORGANIC MATTER— NONURBAN STATIONS
(MICPOGRAMS PER CUBIC METER) x 10-'
STATION LOCATION
LITCHFIELO CNTY CONN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ACADIA NATNL PARK ME
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
WORCESTER COUNTY MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
SHENANDOAH PARK VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
HOLLY RIVER PK W VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
FLORIDA KEYS FLORIDA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
OATLANO ISLAND GA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
JACKSON COUNTY MISS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
FT DONELSON TENN
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
SANGAMON COUNTY ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HURON COUNTY MICH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ELLIS COUNTY KANSAS
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
COOK COUNTY MINN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
SHANNON COUNTY MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PT WORONZOF ALASKA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
GRAND CANYON ARIZ
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
WAIMANOLO HAWAII
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
55 56
57
57
57
S 7
57
57
57
57
57
57
57
57
57
55 57
57
57
JAN
3
2 4
1 6
8
3
124
9 6
6 7
2
2 4
2 0
1 7
FEB
3
9 6
4 7
1 6
2
1 5
1 S
1 5
3
57
3 5
2 0
2
8
8
8
MAR
5
4 1
2 8
1 6
1
1 6
1 6
1 6
1
1 2
1 2
1 2
2
1 5
1 5
1 S
5
5 5
4 3
2 2
2
1 6
1 2
9
APR
5
37
1 5
8
2
3 1
20
9
1
24
2 4
2 4
2
24
19
1 5
1
2 3
2 3
2 3
4
10
7
4
2
4 9
28
8
MAY
3
i a
9
i
s
1 9
1 4
1 0
3
2 5
1 8
1 5
S
1 9
1 7
1 6
2
5 2
5 0
4 9
2
1 4
11
8
1
2 4
2 4
2 4
2
2 8
1 8
9
1
8
8
8
3
3 1
2 1
1 4
4
9
7
4
2
3 3
2 5
1 9
JUNE
4
3 3
32
1 6
1
3 1
2 1
2 1
4
17
16
1 6
3
2 5
2 2
1 6
2
5 5
4 8
4 2
2
15
1 1
8
2
27
3 3
17
4
2 6
1 7
8
1
6
6
6
2
8
8
8
4
9
5
4
2
1 9
1 3
8
2
1 6
1 6
1 6
JULY
5
3 4
2 3
1 5
3
28
1 9
1 2
5
6 a
5 i
3 3
3
1 7
1 4
9
4
2 6
2 0
8
2
3 2
28
3 5
3
2 2
1 4
8
2
25
1 7
9
4
1 7
14
8
2
3 5
1 6
8
1
3 2
3 3
3 2
5
3 4
1 9
9
3
9
7
5
2
4 0
2 8
16
AUG
5
1 8
1 5
8
2
1 9
1 4
1 0
4
8 0
6 4
5 3
3
6 1
3 6
9
4
3 6
2 1
1 7
1
2 4
2 4
2 4
2
3 1
2 6
2 1
4
30
2 4
1 7
2
2 2
1 4
7
3
4 1
3 3
2 6
4
17
1 4
8
2
2 6
2 1
17
3
4 4
2 5
1 6
.
1 6
1 6
16
4
39
1 7
4
3
9
8
8
2
3 4
3 0
1 7
SEPT
*
1 6
1 6
1 6
2
1 9
1 9
1 9
4
8 1
5 9
4 6
3
1 7
1 3
8
4
1 7
1 4
9
4
3 0
1 9
1 6
1
3 1
3 1
3 1
3
2 3
1 8
1 5
2
3 4
2 8
2 3
2
3 1
2 5
1 9
4
3 4
1 4
1
6
6
6
2
29
2 6
2 3
3 0
1 3
4
3 8
1 6
6
4
8 4
3 7
8
3
2 4
2 1
1 8
OCT
1
2 0
2 0
20
3
103
78
55
3
18
1 1
8
3
1 6
10
8
3
1 7
8
3
158
6 7
17
5
3 2
2 3
16
2
2 2
18
1 5
1
7 3
7 3
7 3
5
2 6
1 4
2
9
8
8
4
1 5
9
7
5
54
26
7
5
8
3
2
18
1 7
1 6
NOV
1
32
32
32
3
39
26
20
5
159
93
31
4
2 5
12
3
33
18
1 6
3
17
8
2
2 6
32
19
3
23
17
15
2
48
39
3 1
2
58
38
19
4
31
18
8
2
2 4
1 9
15
15
5
7
135
36
7
4
9
6
2
4 3
3 5
28
DEC
5
2 5
1 9
8
2
20
1 9
1 8
3
8 8
57
33
2
34
2 1
8
2
2 3
19
1 6
3
35
1 9
1 7
2
2 0
1 5
1 0
5
32
1 6
8
1
23
2 3
3 3
1
28
38
2 8
4
1 5
1 3
8
3
1 5
1 1
7
2
35
1 6
8
5
1 8
1 3
8
7
9 0
30
5
1 9
1 1
8
1
9
9
9
-------
TABLE 4, RADIOACTIVITY—URBAN STATIONS
67
STATION LOCATION
WATERBURY CONN
HARTFORD CONN
NEW HAVEN CONN
STAMFORD CONN
PORTLAND MAINE
BOSTON MASS
EVERETT MASS
LAWREnCE MASS
LYNN MASS
SOMERVILLE MASS
WORCESTER MASS
MANCHESTER N H
PROVIDENCE R 1
BURLINGTON VT
WILMINGTON DEL
CAMDEN N J
JERSEY CITY N J
EAST ORANGE N J
NEWARK N J
NEW YORK N Y
BINGHAMTON N Y
BUFFALO N Y
SCHENECTAOY N Y
SYRACUSE N Y
U T 1 C A N Y
PHILADELPHIA PA
PITTSBURGH PA
ALLENTOWN PA
JOHNSTOWN PA
LANCASTER PA
SCRANTON PA
WASHINGTON DC
LOUISVILLE KY
BALTIMORE MD
CHARLOTTE NC
WINSTON SALEM NC
SITE
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
I
1
1
1
1
1
1
1
1
1
2
1
1
1
1
1
1
1
1
1
1
1
YEARS
5 5
5 6
55 56
5 7
57
5 7
5 7
5 b
5 6
5 7
55 57
5 5
5 6
55 56
5 7
5 7
5 7
5 7
57
5 b
5 7
55 57
57
57
5 7
5 7
5 7
5 7
5 3
54
5 5
5 6
57
53 57
5 7
57
5 7
57
57
5 3
5 4
55
C (L
J O
57
53 57
57
5 7
S 7
57
57
5 3
5 4
5 5
5 6
57
S3 57
54
55
56
5 7
54 57
57
57
5 7
No. OF
SAMPLES
5
1
6
2 1
2 3
2 0
1 4
1 6
1 4
i a
4 a
4
1 0
1 4
1 7
1 7
1 b
2 0
1 1
1 4
1 b
3 2
1 b
2 0
1 7
1 b
1 3
9
5
3 6
3 7
5
1 7
100
1 7
1 3
1 4
1 b
1 6
1 4
100
129
1 4
259
1 7
1 B
1 0
1 0
1 6
1 0
3 3
4 3
3 4
2 5
145
4 0
20
3
1 1
7 4
2 3
1 7
1 7
(MICROMICROCURIES PER CUBIC METER) x 10"'
MIN
1
1 4
1
5
y
1
6
1
1
7
y
y
1
S
6
1
y
1
5
b
7
B
9
1 0
1
3
5
3
2
6
4
b
1
4
1 3
7
4
4
9
a
i
l
6
2
1
1
1 7
1 6
1
4
1 1
6
MAX
4 8
1 4
4 8
490
169
304
3 8
156
3 3
9 9
156
5 8 R
1 9
588
8 3
320
207
214
140
1 4
6 4
6 4
188
526
230
385
740
5 4
2
9 4
2 9
1 9
183
183
4 1
6 2
7 3
115
268
1 3
3 9
912
1j?
O
223
912
930
7 9
127
468
188
6
3 9
4 6
9 3
163
163
4 6
S 0
2 8
728
728
148
834
109
AVG
1 5
1 4
1 5
5 0
3 6
6 2
1 8
1 1
9
2 7
1 6
154
8
4 9
2 8
5 3
4 5
3 2
4 1
4
2 4
1 5
2 8
6 0
4 1
5 5
126
2 6
1
1 4
6
1 0
4 0
1 4
1 5
2 0
3 1
3 8
3 8
3
1 1
2 5
1f\
U
4 2
1 9
102
1 9
4 3
100
4 7
2
8
1 0
2 6
2 7
1 6
9
7
2 3
140
2 9
3 1
4 2
2 B
FREQUENCY DISTRIBUTION— PERCENT
10
1
1
6
1 0
9
6
1
9
1
1
1
9
9
4
6
6
1
1 1
2
7
1 1
1 2
1 5
8
1 2
1
3
6
6
2
6
6
8
1
1
1 5
1
1 1
5
4
9
1 2
2
7
9
1
2
1
18
2
1 1
1 1
9
20
1
1
1 3
1 1
1 1
1 0
5
1 1
1
7
3
6
1 1
1 1
9
10
8
2
12
3
10
1 4
1 4
2 1
9
17
2
1
3
9
1
9
6
8
7
9
1
1
3
2 0
2
12
8
12
18
17
1
1
3
1 4
1 1
3
4
2
2 0
2 0
4
1 4
12
12
30
6
6
1 4
1 5
1 4
1 1
1
5
1 2
3
7
6
7
1 5
1 3
1 1
1 2
9
2
1 3
4
1 0
2 3
1 6
2 2
1 5
1 8
1
5
1
6
2 0
3
1 2
9
9
8
1 1
1
3
4
2 2
3
1 7
9
1 5
2 0
2 0
1
1
4
1 7
1 3
S
4
3
2 0
3 3
5
1 6
1 5
1 4
40
6
6
1 5
1 8
1 7
1 2
1
6
1 4
5
1 1
7
8
17
1 5
1 5
i 4
1 5
3
1 4
6
1 1
27
18
2 5
2 0
2 0
1
6
2
6
28
5
1 3
1 1
1 5
1 2
1 2
1
8
6
2 5
6
20
1 2
18
2 6
2 6
1
2
6
2 1
1 4
7
5
4
2 0
4 2
6
17
18
17
50
9
1 5
9
2 6
2 3
2 0
1 4
1-
6
1 fl
7
1 1
8
8
1 9
2 0
1 8
1 5
2 0
3
1 5
1 2
1 4
3 0
1 9
2 8
3 0
2 3
1
9
3
9
3 1
7
1 4
1 5
2 0
2 0
1 4
2
1 0
8
2 6
9
3 3
1 4
2 0
3 3
3 6
3
4
8
2 3
1 6
1 0
7
5
2 6
6 2
8
1 9
2 3
2 0
60
9
1 5
1 4
3 0
3 3
3 0
1 5
2
7
2 2
1 1
1 1
8
9
2 0
3 0
2 6
3 0
26
4
2 0
1 3
1 8
33
2 0
3 3
3 3
2 3
1
1 0
5
9
33
1 0
1 5
1 8
2 6
4 2
1 8
3
1 3
1 0
2 8
1 1
4 2
1 7
26
3 8
4 2
3
5
9
2 5
1 9
1 4
9
6
26
6 9
ID
2 3
2 6
2 2
70
1 5
1 5
1 4
3 3
37
5 4
2 3
2
9
2 5
1 4
1 2
9
1 1
3 6
4 2
3 9
3 3
4 2
4
3 0
1 4
2 3
4 5
3 9
4 2
4 8
2 6
2
1 2
8
1 5
4 8
1 5
1 8
2 0
4 2
5 9
2 0
4
1 S
1 1
3 1
1 4
6 2
2 0
5 4
4 2
5 4
4
8
1 1
3 0
2 4
1 9
1 1
7
26
8 8
1 4
3 0
4 2
2 5
80
1 5
1 5
1 5
3 9
4 0
8 8
2 6
4
1 2
26
2 0
1 2
1 1
1 1
4 2
5 4
4 2
4 2
6 9
5
3 3
2 6
2 6
5 1
5 4
5 4
6 9
3 3
2
2 0
1 2
1 5
6 2
2 5
2 0
2 6
6 2
6 4
42
6
1 8
1 4
2ri
U
3 3
1 8
113
2 3
6 9
5 4
6 4
4
1 1
1 5
35
30
2 5
1 2
9
26
145
20
4 2
5 4
30
90
S 4
' 1 5
1 5
d 8
o 4
145
3 8
4
2 0
6 9
3 0
642'
1 2
2 0
b 4
113
113
bO
1 R 9
6
b 4
4 2
4 2
b 8
6 9
6 9
501
4 8
2
3 5
R 0
2 0 '
o 9
3 8
2 3
5 4
7 9
d 8
S 4
1 5
2 5
2 3
o n
c U
5 4
2 6
145
3 3
129
391
6 9
5
2 6
2 6
5 4
b 4
3 6
1 8
1 2
3 3
391
b 0
6 4
6 9
3 3
-------
68
TABLE 4. RADIOACTIVITY—URBAN STATIONS
STATION LOCATION
SAN JUAN PUERTO RICO
NORFOLK VA
RICHMOND V A
CHARLESTON W VA
WHEELING ,V VA
BIRMINGHAM ALA
TAMPA FLA
MIAMI FLA
ATLANTA G A
COLUMBUS GA
JACKSON MISS
COLUMBIA SC
GREENVILLE SC
CHATTANOOGA TENN
KNOXVILLE TENN
NASHVILLE TENN
CHICAGO ILL
SPRINGFIELD ILL
EAST CHICAGO IND
EVANSVILLE IND
FORT WAYNE IND
INDIANAPOLIS IND
DETROIT MICH
GRAND RAPIDS MICH
KALAMAZOO MICH
LANSING MICH
FLINT MICH
CINCINNATI OHIO
YOUNGSTOHN OHIO
CANTON OHIO
CLEVELAND OHIO
COLUMBUS OHIO
TOLEDO OHIO
SITE
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
1
YEARS
5 1
b 7
5 7
S 3
5 4
Sb
5 6
5 7
S3 57
5 7
5 7
5 3
54
5 5
5 6
5 7
53 57
57
5 3
5 4
5 5
56
57
S3 57
57
5 7
57
S 7
5 5
5 6
5 7
55 57
57
5 7
54
5 5
56
57
54 57
57
55
57
55 57
57
57
57
53
54
57
53 57
57
5 7
57
5 7
5 3
5 4
5 5
5 6
5 7
53 57
5 7
5 7
57
57
5 7
No. OF
SAMPLES
1 4
1 6
1 7
6
3 6
6
1
1 5
6 4
1 5
1 4
5
4 4
3 9
2 6
2 3
137
2 5
2
4 9
2 7
4
1 5
9 7
1 9
1 6
1 7
2 0
4 5
2
1 d
6 5
1 6
1 9
105
B 3
5
1
194
1 5
1 2
5 6
6 0
1 7
1 9
2 0
3 3
1 b
1 5
6 6
9
1 6
1 7
1 7
2 4
250
S 5
4 0
1 d
387
1 7
1 b
1 b
2 0
1 6
MIN
5
3
6
4
b
7
6
4
3
-------
TABLE 4. RADIOACTIVITY—URBAN STATIONS
69
STATION LOCATION
L 0 K A 1 N OHIO
MILWAUKEE II \ S
RACINE HIS
D E S M 0 1 N E S IOWA
KANSAS CITY t\ n N S A S
,V 1 C H | T ' KANSAS
MINNEAPOLIS MINN
D U L U T H M 1 N 11
KANSAS CITY MO
S T LOUIS U 0
OMAHA NEB
LINCOLN NEB
BISMARCK HO
SIOUX FALLS SO
LITTLE ROCK ARK
N E * ORLEANS LA
BATON ROUGE LA
ALBUQUERQUE NM
TULSA OKLA
FT rtORTH TEXAS
LAKEWORTH TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
DALLAS TEXflS
SAN ANTONIO TEXAS
EL PASO TEX'AS
CORPUS CHRISTI TEXAS
DENVER COL
BOISE IDAHO
HELENA MONTANA
SITE
1
1
i
1
1
i
i
i
l
i
l
i
i
i
i
i
i
l
i
i
l
i
i
i
i
i
l
i
l
l
l
i
i
l
1
i
l
l
l
l
i
l
YEARS
5 7
57
5 7
5 7
55 57
S 7
5 3
5 4
5 5
S r,
57
53 57
5 7
5 3
5 4
5 b
5 6
5 7
S3 57
5 7
5 7
57
57
5 7
5 7
5 4
5 5
5 6
5 7
54 57
5 7
S 7
5 7
5 3
5 4
5 b
5 6
53 56
5 3
54
5 i:
53 55
5 3
S 4
5 5
56
5 7
53 57
5 3
54
5 5
c ,;
D D
53 56
57
5 7
5 7
5 7
5 4
55
5 6
5 7
54 57
5 7
57
No. OF
SAMPLES
1 7
1 0
1 5
1 b
1 1
1 7
y
4 7
4 5
4 3
2 5
169
2 3
fa
3 b
2 1
3 3
2 6
1 B 6
1 b
1 7
1 7
1 6
1 7
1 7
5 4
5 2
1 5
1 7
1 3 b
1 b
1 5
1 4
3
3 9
4 5
4 2
1 2 y
1
3 2
2 9
6 2
1 0
5 5
3 2
3
2 1
121
2
2 2
1 7
2
4 3
2 2
1 9
1 y
2 0
2 6
3 3
2 2
2 2
103
1 7
1 b
IMICROMICROCURIES PER CUBIC METER) x 10-'
MIN
8
3
6
b
5
5
1
4
1 0
2
1
8
4
b
3
2
7
1 0
1 0
1
5
9
b
b
1 0
1
1
3
2
1
1
5
1
5 0
5
b
9
3
3
1
1
2
1
6
7
MAX
1179
493
231
705
1 5 R
3240
5
6 3
3 0
9 2
468
468
199
3
3 1
8 0
117
634
634
1301
278
223
331
549
713
110
259
5 3
1427
1427
124
575
535
A
4 4
152
127
152
2
3 9
126
126
4
5 7
196
1 9
539
539
1
4 2
6 1
C A
D 4
6 1
999
1618
1931
1494
6 3
339
316
1592
1592
1423
241
AVG
9 9
6 3
4 S
9 5
4 3
248
2
7
5
1 7
5 1
1 5
4 6
1
4
1 3
2 7
6 6
3 4
155
5 7
4 3
6 4
7 6
7 5
1 6
2 4
2 0
151
3 6
4 9
119
8 1
2
1 4
3 0
2 3
1 9
2
1 3
1 7
1 5
2
1 2
2 7
1 4
6 4
3 4
9
8
5 2
1 0
140
135
336
117
1 8
2 1
5 1
225
7 0
152
4 2
FREQUENCY DISTRIBUTION — PERCENT
10
1 3
6
9
1 4
6
7
1
7
1 0
1
5
1
10
1 1
1
1 2
7
6
1 4
1 2
1 1
2
1
6
1 1
2
9
1 4
10
1
1
5
1
3
2
2
1
3
2
1
1
1
6
1 3
1 4
9
6
1
1 3
1 1
2
7
8
20
1 4
1 1
1 1
1 6
1 1
9
1
1
1
9
1 1
2
1 1
1
1
2
1 2
1 4
2
1 4
10
9
1 5
13
1 1
3
2
8
12
4
2 1
1 5
1 1
1
4
1
8
3
4
3
3
1
2
5
6
7
2
1
1
1
8
1 4
2 0
1 3
7
2
1 5
1 4
5
14
1 1
30
1 8
1 2
1 5
1 8
1 2
1 5
1
1
2
1 0
1 2
3
1 4
1
1
3
1 3
1 8
4
1 5
1 2
1 2
1 8
1 4
1 4
4
4
1 0
1 5
5
2 2
1 8
1 1
1
6
2
1 3
5
6
3
4
1
3
9
6
1 2
4
1
3
2
2
1 5
1 6
3 0
1 4
9
2
26
1 8
9
1 S
1 2
40
2 3
1 8
i a
2 0
1 8
2 0
1
2
2
1 1
1 4
5
16
1
1
4
15
2 3
7
2 6
1 8
2 0
20
1 5
1 8
5
6
1 1
20
7
2 S
20
20
1
9
3
IS
8
8
4
6
1
4
12
6
1 S
6
1
3
3
3
28
1 9
3 8
1 5
10
3
30
20
13
26
2 0
50
3 3
3 6
2 2
3 6
2 6
3 3
2
4
3
1 4
1 8
9
2 0
1
3
9
2 2
3 0
1 1
3 3
2 6
2 6
3 8
2 0
3 3
7
8
1 5
2 3
9
3 3
3 3
3 3
2
1 1
6
1 7
1 2
2
1 0
6
9
2
6
1 3
1 8
2 6
9
1
4
4
4
3 1
2 3
6 9
1 8
1 3
6
3 3
3 0
1 7
3 3
3 7
60
3 6
36
2 4
3 3
3 3
4 2
2
6
4
1 6
3 2
1 1
3 6
3
4
1 1
36
3 8
1 4
6 3
3 0
3 3
4 2
3 0
3 6
8
1 3
3 6
35
1 3
5 0
7 9
3 8
2
1 2
1 1
20
1 5
2
1 2
1 0
1 1
2
8
1 5
1 8
4 2
1 4
1
6
4
6
38
2 4
8 8
20
1 4
1 1
4 3
5 4
2 2
3 8
30
70
4 3
4 3
2 8
4 2
6 2
6 9
2
9
5
1 8
3 8
1 3
3 8
3
5
1 5
3 0
5 4
2 0
8 8
5 4
3 9
5 9
8 8
4 2
1 1
2 0
3 3
6 2
2 3
6 9
113
8 8
2
1 5
2 2
2 4
2 1
2
1 6
1 4
1 S
3
1 8
2 2
1 8
69
2 1
1
7
9
9
69
4 2
172
26
17
1 6
S 0
145
3 1
8 8
3 3
80
5 4
5 4
3 1
8 8
6 9
113
4
1 2
7
2 0
4 8
17
88
3
7
1 8
3 6
8 8
30
113
8 8
5 4
6 9
105
6 9
2 3
3 3
36
8 8
3 3
7 9
166
113
2
2 3
2 8
35
2 B
2
19
2 3
30
3
2 6
3 1
1 8
96
3 0
1
2 0
11
Sf
4
14
238
8 8
272
5 4
36
20
101
238
4 9
134
4 2
90
7 9
129
2 1 2
145
b 8
145
4
1 4
1 6
3 6
6 9
2 8
145
3
1 1
2 0
5 4
113
5 0
305
1 4 S
b 8
b 8
113
d 8
4 8
S 0
4 2
391
5 4
101
572
1 •» 5
3
3 6
4 8
4 8
4 1
3
3 1
4 8
3 6
4
3 3
5 4
2 0
113
5 4
1
2 6
1 2
5 4
3 3
305
145'
1353
238
3 3
3 9
113
642
139
145
b 8 •
-------
70
TABLE 4. RADIOACTIVITY—URBAN STATIONS
STATION LOCATION
oALT LAKL 1.ITY UTAH
C H E Y E N N E .V Y 0
ANCH-ORAbE ALASKA
PHOENIX ARIZ
LOS ANGELES CALIF
SAN FRANCISCO CALIF
PASADENA CALIF
BERKELEY CALIF
S A rl JOSE CALIF
s A « L E A N D R 0 CALIF
SAN UlEbU CALIF
UOK6ANK CALIF
SAN B E R n A R U 1 i« U CALIF
HONOLULU H A ,v A 1 1
LAS VEGAj NEVADA
PORTLAND 0 R E b u N
SEATTLE ,; A S H
SITE
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
YEARS
: j
I, ^
5 ^
5 7
5 "5 5 7
5 7
5 3
5 4
5 5
b 7
53 b 7
5 7
5 4
5 7
54 57
5 5
56
5 7
55 57
5 3
5 4
5 5
5 6
5 7
53 57
5 4
5 5
54 55
5 4
5 5
5 K
57
54 57
5 5
5 6
55 5o
5 7
5 7
5 7
5 6
57
5 ? 57
5 7
5 3
5 4
5 5
5 6
5 7
53 57
5 7
No. OF
SAMPLES
1
;,
1 D
7 o
2 3
d
4 6
2 1
2 9
104
1 H
1 9
1 5
3 4
1
b
2 4
3 1
6
2 5
3 6
C
1 b
9 0
3 2
1 5
4 7
3 0
3 2
1 6
1 7
9 5
1 7
rj S
3 *
2 3
1 9
1 b
2 3
2 6
4 9
1 U
1 b
8 a
2 6
2 4
2 1
175
2 4
WIN
1 5
1 7
'•
3
1 5
b
1
2
2 6
2
1
1
3
4
1
b
3
b
4
2
2
1 5
1
2
4
2
(MICROMICROCURIES PER CUBIC METER) x 10'
MAX
170
4 ? 5 b
4 a
54350
54350
2 337
4
110
3 6
4 8
110
7319
5 2
273
273
7
6 9
6 9
4
8 2
6 0
4 3
5 6
8 2
5 1
2 5
5 1
110
1 6
a i
6 8
110
4 0
112
112
8 6
b 0
3500
4 8
5 2
b 2
3800
6
185
1 6
188
3 8
188
7 9
AVG
2 i
295
2 6
3 0 6 T
827
3 0 U
1
8
5
1 1
3
670
6
4 4
2 3
3
1 9
1 6
8
1 1
8
3 5
2 4
1 3
9
7
9
1 S
5
2 3
1 8
1 2
5
2 4
1 6
2 6
2 1
233
1 8
1 7
1 3
i 3 6
1
1 4
3
2 6
1 4
1 3
1 4
FREQUENCY DISTRIBUTION — PERCENT
10
J
2
1 3
2 0
3
2
3
2 0
1 2
1
3
1
1
2
2 6
6
1
1
1
3
7
1
1
4
1
1 0
4
1 6
4
3
4
1 8
2
5
2
20
4
i
1 3
2 6
S
1 5
1
'
S
1
2 6
1 5
1
1
7
3
1
1
£
2 6
1 4
1
£
1
1
1
^
a
2
i
6
1
1 i
1 1
i a
5
5
J
2 6
1
3
3
6
1
30
7
^
1 4
3 t
"I
2 4
1
1
1
]
3 C
1
1 t
1
£
£
1
1
j
3 J
1 S
1
-
1
1
/•
9
1 0
-
1
1 1
'<•
i :
1 4
1 9
6
6
6
2 8
1
1
a
a
i
4
40
8
6
1 4
4 2
1 2
33
1
1
1
8
2
38
1
20
3
g
7
1
2
4
3 3
18
5
i
4
S
2
3
1 2
1 2
4
1
1 5
4
1 4
17
2 6
7
a
8
3 3
1
1
1
10
9
2
a
50
1
1 0
2 0
1 5
4 8
1 8
5 0
1
1
2
1 C
3
4 8
1
2 4
8
2
1 1
9
2
C
5
3 8
2 C
6
2
5
4
3
4
1 5
1 <=
7
2
2 C
8
1 6
2 0
3 9
1 4
1 5
1 4
3 9
1
4
2
1 1
1 1
5
9
60
1
1 1
3 1
1 5
5 4
2 9
6 9
2
2
3
1 1
.£
6 2
2
26
1 5
1
1 5
1 1
-T
6
6
3 8
2 £
8
7
6
7
6
5
2 6
i e
q
2
2 4
1 1
1 9
2 £
4 8
1 7
21
i e
5 4
1
B
3
1 E
1 3
8
1 2
70
1
1 b
4 2
4 2
7 4
4 C
8 8
2
2
i
1 £
8
8 8
2
3 2
2 C
j
2 6
i ;
T
6
7
4 £
3 1
1 6
1 J
8
1 C
1 E
^
2 E
2 C
1 £
T
3 C
2 C
2 £
2 f
s a
2 C
2 4
2 4
113
1
1 1
T
3 C
1 £
1 1
1<5
80
1
2 3
5 4
4 2
7 9
5 4
305
2
8
5
1 4
11
129
6
4 2
2 6
7
3 1
2 6
3
9
1 1
4 2
3 3
27
20
9
1 5
2 2
8
3 3
2 4
2 1
4
3 8
30
4 2
3 3
6 2
3 6
2 8
3 1
305
2
IS
38
SO
16
1 9
90
1
j 3
3 '• 1
5 4
a 8
b 5
1353
3
1 2
I 2
1 8
1 7
30 b
9
d 8
5 4
7
4 2
4 2
3
4 3
1 8
5 4
4 2
3 7
3 3
? 0
2 4
2 6
9
4 2
,-! 6
2 9
9
4 2
3 8
6 S
3 9
o 9
4 6
3 3
4 2
642
4
4 2
7
5 4
3 3
35
3 0
-------
TABLE 4. RADIOACTIVITY—URBAN STATIONS—STATE TOTALS
71
STATE OR REGION
'CONNECTICUT TOTAL
MAINE TOTAL
MASSACHUSETS TOTAL
NEW HAMPSHRE TOTAL
RHODE ISLAND TOTAL
VERMONT TOTAL
DELAWARE TOTAL
NEW JERSEY TOTAL
NEW YORK TOTAL
PENNSYLVANIA TOTAL
DIS COLUMBIA TOTAL
KENTUCKY TOTAL
MARYLAND TOTAL
NO CAROLINA T 0 T " L
PUERTO RICO TOTAL
VIRGINIA TOTAL
WEST VIRGIN A TOTAL
ALABAMA TOTAL
FLORIDA TOTAL
GEORGIA TOTAL
MISSISSIPPI TOTAL
SO CAROLINA TOTAL
TENNESSEE TOTAL
ILLINOIS T 0 T « L
INDIANA TOTAL
MICHIGAN TOTAL
OHIO TOTAL
WISCONSIN TOTAL
IOWA TOTAL
KANSAS TOTAL
MINNESOTA TOTAL
MISSOURI TOTAL
NEBRASKA TOTAL
NORTH DAKOTA TOTAL
SOUTH DAKOTA TOTAL
ARKANSAS TOTAL
LOUISIANA TOTAL
NEW MEXICO TOTAL
OKLAHOMA TOTAL
TEXAS TOTAL
COLORADO TOTAL
IDAHO TOTAL
MONTANA TOTAL
UTAH TOTAL
WYOMING TOTAL
ALASKA TOTAL
ARIZONA TOTAL
CALIFORNIA TOTAL
HAWAII TOTAL
NEVADA TOTAL
OREGON TOTAL
WASHINGTON TOTAL
YEARS
55 57
5 7
55 57
5 7
55 57
C Y
5 7
55 57
53 57
53 57
53 57
54 57
5 7
5 7
5 7
5 i
53 57
5 7
53 57
53 57
5 7
5 7
55 57
54 57
55 57
53 57
53 57
5 7
57
55 57
53 57
53 57
5 7
57
5 7
5 7
54 57
5 7
5 7
53 57
54 57
5 7
5 7
53 57
5 7
53 57
57
53 57
56 57
5 7
53 57
5 7
No. OF
SAMPLES
7 u
I 4
t 3 -i
1 1
3 ,3
1 0
2 0
6 ft
176
347
1 4 5
7 4
2 3
3 *4
1 4
3 3
8 3
1 4
162
116
lo
3 7
100
209
124
132
493
3 3
1 8
2 8
196
144
3 4
1 6
1 7
1 7
156
1 5
1 4
435
103
1 7
1 8
7 6
2 3
104
1 fa
398
4 9
1 8
175
2 4
(MICROMICROCURIES PER CUBIC METER) x 10'
MIN
1
M
ft
1
5
8
1
1
4
ft
5
'i
6
8
i
3
3
8
5
2
7
1 0
1 0
8
1 0
1
6
7
2
1 5
2
1 5
2
MAX
4 9 0
', H
5 8 H
1 4 0
* -I
i n H
5 :: ft
740
? ft H
930
163
728
148
234
5 H
? 4 3
fi 2 ft
2 3 <4
65 R
533
562
ft R 5
2717
7 2 1
486
706
1179
493
705
3240
4 6 B
1201
2 7 8
331
549
713
1427
575
535
1931
1592
1423
? 4 1
> a 35 0
2337
110
7319
3500
5 2
3800
188
7 9
AVG
3 L>
1 ."i
3 3
'H 1
1 5
Z.1 H
6 0
6 0
o1 'J
3 '-V
1 6
2 9
3 1
3 5
2 0
2 9
5 6
2 8
3 4
116
7 8
7 2
2 4
4 5
2 7
2 3
5 5
9 5
168
1 9
4 1
5 0
6 4
7 6
7 5
3 7
119
8 1
4 8
7 0
1 5 2
4 2
827
300
7
670
2 5
1 8
436
1 3
1 4
FREQUENCY DISTRIBUTION— PERCENT
10
8
:L,
ri
6
7
1 1
1 0
1
1
1
2
1 1
1 0
5
7
1
6
1
1
1 1
1 1
2
1
7
1
1
6
1 4
7
1
1
6
1 4
1 2
1 1
2
1 4
1 0
1
2
7
8
3
2
2 0
1
4
1 8
2
20
1 1
1 u
6
H
3
1 u
1 4
1 '1
3
3
3
4
1 4
1 3
6
1 6
3
1 4
2
4
1 2
1 7
8
1 B 6
4 8
9 3
446
113
9 6
3 3
ft 7
4 6
3 7
145
145
145
3 8
d 0
145
a 8
113
a e
6 6
572
145
o 2
129
145
0 8
8 5
353
1 5
305
4 2
4 2
642
3 5
3 0
-------
72
TABLE 4. RADIOACTIVITY— URBAN STATIONS—REGIONAL AND GRAND TOTALS
STATE OR REGION
NEW ENGLNLl TOTAL
MID ATLNTC TOTAL
MID EAST TOTAL
SOUTH EAST TOTAL
MID WEST TOTAL
CRT PLAINS TOTAL
GULF SOOTH TOTAL
ROCKY M N T N TOTAL
PAC COAST TOTAL
GRAND TOTAL
YEARS
55 57
53 57
53 57
53 57
53 57
53 57
53 57
53 57
53 57
53 57
No. OF
SAMPLES
379
611
406
4 a 5
991
453
637
237
78o
t 8 4 5
MIN
(MICROMICROCURIES PER CUBIC METER) x 10'
MAX
588
930
826
2717
1179
3240
1931
54350
7319
54350
AVG
3 3
3 1
2 i',
4 5
2 7
44
4 9
339
4 3
5 2
FREQUENCY DISTRIBUTION— PERCENT
10
3
1
2
1
1
1
2
3
1
1
20
7
4
4
3
2
3
3
6
1
3
30
1 0
7
6
6
4
6
6
1 1
3
5
40
1 2
9
9
9
7
1 0
9
1 5
4
8
50
1 4
1 2
1 3
1 3
1 0
1 3
1 3
2 0
R
1 2
60
1 8
1 6
i 7
1 9
1 5
1 7
1 7
2 9
1 1
1 6
70
2 6
2 1
2 2
2 6
2 0
a 4
2 5
•5 1
1 6
2 2
80
3 7
30
3 0
4 3
2 8
3 7
37
6 7
2 5
3 3
90
6 9
5 3
4 8
d 8
-------
TABLE 4. RADIOACTIVITY—SUBURBAN STATIONS
73
STATION LOCATION
MIDDLESEX INTY M A b 3
KANAWHrt Co W V A
HILLS60ROUGH CO FLA
FULTON co GEORGIA
HAMILTON COUNTY OHIO
TONKA BAY MINN
L D 1 N A MINN
DENVER COUNTY COLO
SALT LAKE CO UTAH
MULTNOUAri CNTY ORE
GRAND TOTAL
SITE
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
1
1
1
1
1
I
1
YEARS
5 5
5 6
S S 5 o
-, ^
5 S
5 6
b 4 So
5 3
5 4
5 5
5 6
53 5 b
5 3
5 -4
5 5
53 55
5 3
5 4
5 5
53 55
5 3
5 4
53 54
5 4
5 5
54 55
5 4
5 5
5 6
54 56
5 3
5 4
5 5
53 55
5 4
5 5
54 55
53 56
No. OF
SAMPLES
1 i
i a
..' 6
< ' c>
-1 ci
'' "
3 M
2 7
i ^
7 5
4 4
a s
6 B
6
5 2
5
6 3
7
3 7
4 4
c
1 4
1 9
3 1
2 5
1 6
6 2
2 7
2 2
5 0
1 6
3
1 9
(MICROMICROCURIES PER CUBIC METER) x 10'
MIN
1
1
3
3 1
1
1
7
1
1
5
2
2
3
e
1
2
1
MAX
H 5
H 5
i a
r. ("
H 6
f) 0
4 0
b 1 "5
2 9
617
b 5
531
531
5
2 3
1 1
2 3
2 3
2 3
1 S
7 0
7 0
b 6
517
172
517
] 7 0
36437
16437
1 1 f
£
116
36437
AVG
I 5
H
1 2
3 8
1 1
7
3 0
1 5
1 7
£
3 5
1 6
1
3
3
3
2
3
3
1 2
1 4
1 3
2 5
4 6
4 9
4 0
2 4
1944
868
2 0
2
1 7
102
FREQUENCY DISTRIBUTION — PERCENT
10
^
1
1
2
1
7
1
1
1
6
2
2
4
1
20
3
1
C
1
1
1
20
t
-
c.
-
t
C
£
2 7
g
c
:
'-
1
i
i
i
30
3 3
2
j
1 3
2
1
]
^
j
1
1
1 1
c
f
1 C
^
2 t
c
f
£
1
1
C
40
6
^
/
3 3
x
] 3
4
3
4
3
1
]
^
j
3
3
1
1 3
B
1 1
7
3C
1 ]
g
7
t
^
:
J
so
5
6
3 3
6
<
6
1 4
6
1
4
a
4
1
2
n
c
i
i j
S
1 C
1 E
9
3 £
i e
i
1 £
c
1 C
e
C
^
60
g
6
9
3 3
g
i
cr
1 4
9
a
7
1 £
7
1
£
2
1
^
£
1 £
1 C
1 3
2 £
1 1
3 E
2 •;
i
i ;
1 £
i ^
c
£
t
E
70
1 4
p
c,
1 c
3 _
1 1
e
i i
1 S
1 1
E
1 4
S
^j
4
1 J
1 1
1 2
3 2
i ;
4 £
3 £
:
2 t
i :
2 C
1 £
£
^
i a
80
1 5
1 2
1 1
1 7
5 4
1 6
1 0
1 4
2 3
1 4
1
g
2 6
1 3
2
7
3
6
4
5
4
1 5
1 2
1 5
4 E
2 0
7 S
4 6
1
3 3
30
3 0
2 :
£
1 5
1 7
90
3
S 0
1 8
1 5
,' 0
5 4
'i U
1
2 3
2 0
2 6
2 5
1
1 8
4 8
2 6
2
8
1 2
8
4
8
8
2 0
4 2
2 6
5 9
145
d 8
/ 9
1
6 2
b 4
6 2
2 6
4
2 6
3 3
-------
74
TABLE 4. RADIOACTIVITY—NONURBAN STATIONS
STATION LOCATION
LITCHFIELD CNTY CONN
ACAOIA NATNL PARK ME
M T MANSFIELD FRST V T
WORCESTER COUNTY MO
CAPE HATTERAS NC
SHENANDOAH PARK V A
HOLLY RIVER PK » VA
GULF SHORES PARK ALA
FLORIDA KEYS FLORIDA
OATLAND ISLAND G A
JACKSON COUNTY MISS
FT DONELSON TENN
SANGAMON COUNTY ILL
HURON COUNTY MICH
PERRYS MEMORIAL OHIO
ELLIS COUNTY KANSAS
COOK COUNTY MINN
SHANNON COUNTY MO
THOMAS COUNTY NEBR
WARD COUNTY N D
BLACK HILLS FRST S 0
YELLOWSTONE PARK WYO
PT WORONZOF ALASKA
GRAND CANYON ARIZ
HAlMANOLO HAWAII
GRAND TOTAL
SITE
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
YEARS
55 56
5 7
5 7
5 7
5 7
57
5 7
5 7
5 7
5 7
S 7
5 7
57
57
5 7
5 7
5 7
57
S 7
57
57
5 7
56 57
5 7
5 7
55 57
No. OF
SAMPLES
1 1
1 6
7
2 4
8
2 5
2 5
1 2
1 4
1 6
2 0
1 6
1 3
3 0
8
1 1
1 4
1 8
1 1
1 3
5
2
4 5
2 6
2 2
412
(MICROMICROCURIES PER CUBIC METER) x 10'
MIN
2
8
5
1 0
8
3
8
8
4
9
9
1 3
5
5
5
9
8
3
4
1 5
2 0
7
2
MAX
2 1
3 2
189
374
5 5
654
710
126
174
5 4
1129
353
8 7
226
6 4
1316
122
239
560
3 6
730
100
3 8
830
8 6
1316
AVG
q
1 5
6 0
3 5
1 9
7 3
5 9
3 5
5 5
2 2
135
7 3
2 6
3 6
2 2
159
2 4
4 7
9 2
1 2
164
6 0
8
134
1 8
5 2
FREQUENCY DISTRIBUTION — PERCENT
10
1
4
9
5
1 2
1 2
9
9
9
6
1 1
1 0
1 3
7
6
6
9
1 2
3
4
1 5
1
1 4
3
5
20
3
6
9
8
1 3
1 4
1 2
1 2
1 2
7
1 3
1 1
1 5
9
1 0
9
1 1
1 5
7
5
1 5
2
1 7
4
8
30
4
7
1 2
9
1 3
1 8
1 8
1 6
2 2
1 1
1 5
2 0
2 0
1 0
1 0
3 3
1 2
1 6
9
5
2 0
2 0
3
2 3
6
1 1
40
5
1 0
20
1 4
1 4
2 2
2 2
1 8
2 5
1 2
18
2 2
2 1
1 2
1 1
2 6
1 4
1 9
18
6
2 0
2 0
4
30
7
1 4
50
7
1 2
4 2
1 7
1 4
2 6
2 6
1 9
2 6
1 8
2 0
2 6
2 3
1 6
1 2
5 4
1 4
2 6
2 6
1 1
3 0
2 0
6
3 9
9
1 8
60
1 1
2 0
4 2
2 0
1 5
3 6
3 6
20
4 2
26
2 3
4 8
2 3
1 9
1 5
6 2
1 5
3 1
5 4
1 2
30
20
8
8 8
1 6
2 2
70
1 2
2 2
6 9
2 5
1 8
4 8
4 8
2 6
7 5
3 0
2 6
5 4
2 4
2 6
2 0
6 9
1 9
4 2
6 9
1 5
3 3
2 0
1 0
129
1 8
3 0
80
1 8
26
113
3 3
1 8
6 2
6 2
5 4
8 2
3 8
5 4
6 9
25
5 4
20
7 9
2 0
5 4
129
1 8
3 3
113
1 2
186
33
4 8
90
2 0
2 8
113
5 4
2 0
186
8 2
8 8
145
4 2
391
186
4 2
6 9
5 4
8 8
5 4
105
145
2 6
823
113
2 2
391
4 2
8 8
-------
TABLE 4. RADIOACTIVITY—URBAN STATIONS
(MICROMICROCURIES PER CUBIC METER) x 10"'
75
STATION LOCATION
HAUTFORO C 0 i\l N
NUMBER OF SAMPLES
M A X 1 M U M
AVERAGE
MINI M U M
NEW HAVEN C 0 N M
NUMBER OF SAMPLES
M A X 1 M U M
AVERAGE
Ml N 1 M U M
STAMFORD CONN
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINI M U M
PORTLAND MAIilE
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Vi 1 N 1 M U M
BOSTON MASS
NUMBER OF o A M p L E S
MAX 1 MUM
AVERAGE
M 1 N 1 M U M
EVERETT MASS
NUMBER OF SAMPLES
M AX 1 MUM
AVERAGE
M 1 N 1 M U M
LAWRENCE MASS
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N I M U M
LYNN '.'ASS
iNUMBER OF SAMPLES
MAXIMUM
AVERAGE
,,l 1 N 1 U U M
SOMERVILLE MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
WORCESTER MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
MANCHESTER N H
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PROVIDENCE R 1
NUMBER OF SA"PLES
MAXIMUM
AVERAGE
Ml N 1 M U U
BURLINGTON VT
NUMBER OF SAMPLES
M A X 1 M U U
AVERAGE
Ml N 1 M U M
WILMINGTON DEL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CAM DEN N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 U U M
JERSEY CITY N J
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
YEARS
b 7
b 7
•^ 7
b 7
b 5 b 7
35 b 6
s 7
^ 7
b 7
b7
57
b 5 b 7
b7
b 7
b7
b 7
JAN
d
1 '^
1 d
I d
1
1 0
1 0
1 U
1
7
D
b
1
6
6
T>
2
FEB
,2
1 3
y
b
'2
1 8
1 i
1 1
1
1 2
1 2
1 2
2
1 1
9
8
1
1 1
i 1
1 1
1
1 9
1 9
1 9
1
6
6
6
6
1 A
4
1
MAR
,j
J 0
3 u
1 y
1
1 4
1 4
1 4
1
1 7
1 7
1 7
2
1 0
y
b
1
y
y
9
1
2 U
2 0
2 0
1
2 o
2 a
2 b
3
1 5
a
4
1
120
1 3 a
130
APR
2
H 5
b 9
3 3
2
4 1
H b
1 b
1
3 3
3 3
3 3
2
1 b
1 1
7
1
1 9
1 9
1 9
1
1 6
1 6
1 6
MAY
2
3 0
2 2
1 5
2
4 6
4 3
4 0
3
7 4
3 8
1 6
1
1 0
1 0
1 U
4
156
4 4
4
2
588
299
1 1
3
3 6
2 2
1 U
3
5 3
2 8
1 2
1
H 1
3 i
8 1
2
4 5
3 0
1 5
2
4 0
3 1
2 3
1
1 3
1 3
1 3
2
7 1
4 0
9
3
7 4
4 0
1 2
2
5 9
3 8
1 8
3
4 0
2 8
2 2
JUNE
1
4 1
4 1
4 1
1
150
150
150
2
2 9
2 2
1 5
2
2 8
1 9
1 0
3
2 6
2 4
2 2
2
9
6
3
2
3 8
3 1
2 5
2
250
141
3 2
2
2 2
1 5
9
3
3 7
3 4
3 2
1
1 6
1 6
1 6
3
6 4
3 8
2 3
3
2 7
2 1
1 6
3
526
200
2 7
2
230
135
4 1
2
3 0
-------
76
TABLE 4. RADIOACTIVITY—URBAN STATIONS
(MICROMICROCURIES PER CUBIC METER) x 10-'
STATION LOCATION
EAST ORANGE N U
NUMBER OF SAMPLES
U A X 1 .11 U M
AVERAGE
Ml N 1 M U M
NEWARK N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
N E IV YORK N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BINGHAMTON N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BUFFALO N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SCHENECTADY N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SYRACUSE N Y
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
U T 1 C A N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PHILADELPHIA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PITTSBURGH PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ALLENTOWN PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
UOHNSTOWN PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N t M U M
LANCASTER PA
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
SCRAN TON PA
NUMBER OF .SAMPLES
M A X 1 MUM
AVERAGE
M 1 N 1 M U M
WASHINGTON UC
NUMBER OF SAMPLES
M A X 1 M U M
AVERAGE
Ml N 1 M U M
YEARS
57
5 7
53 57
5 7
b7
^ 7
57
57
53 57
b 7
b 7
b 7
b 7
5 7
b 3 b 7
JAN
8
1 9
6
2 1
1 6
o
8
3 5
I 2
FEB
4
1 4
1
2 6
105
7
1 1
2 9
9
1
MAR
6
1 0
£
2 2
3 9
1 0
1 3
4 6
2 0
APR
4
5
3
1
2 9
912
5 6
1
1 3
5 1
1 6
1
MAY
2
6 6
5 8
5 0
1
2 3
3 3
2 3
8
4 6
1 5
2
1 6
1 5
1 5
2
S 2
2 7
2
2
7 3
6 7
6 1
3
6 7
3 8
7
3
1 2
1 0
a
2 1
544
4 9
2
130
8 6
4 3
3
2 6
3 1
1 3
1
4 3
4 3
4 3
1
3 0
3 0
3 0
3
6 0
3 9
1 3
1 4
3 9
3 0
3
JUNE
1
1 0
1 0
1 0
3
3 0
1 8
17
7
3 8
9
1
3
1 3
9
6
3
1 9
1 5
8
1
1 4
1 4
1 4
1
3 4
2 4
2 4
1
30
3 0
30
1 9
3 2
8
1
3
6 5
3 5
1 9
2
4 3
3 4
6
3
2 1
1 4
4
2
34
2 5
1 7
3
1 a 8
111
3 4
1 5
163
30
1
JULY
£
2 0
1 4
9
1
1 7
1 7
1 7
8
183
3 6
3
2
1 5
1 4
1 4
2
2 3
1 7
1 1
2
1 5
1 1
8
3
9 8
3 7
4
3
268
9 9
1 5
1 1
333
2 8
2
2
9 5
5 5
1 6
2
3 0
19
8
1
1 4
1 4
1 4
2
4 1
2 5
9
1
4 2
4 3
4 3
1 1
2 5
9
5
AUG
2
3 1
30
2 9
1
1 0
1 0
1 0
6
43
1 4
4
3
2 4
1 7
1 0
1
1 4
1 4
1 4
2
3 9
3 4
9
2
5 2
3 2
1 2
1
1 2
1 2
1 2
1 1
2 0
4
1
2
228
134
2 0
3
1 3
1 1
8
2
119
6 9
1 9
3
468
344
3 0
3
4 2
3 9
1 6
1 6
9 3
1 5
2
SEPT
2
740
617
495
2
5 4
4 0
2 6
9
7 5
2 5
2
3 3
1 9
1 5
£
3 6
3 0
5
2
4 1
3 0
1 9
2
115
8 9
6 3
3
4 9
2 B
1 8
1 8
3 9
1 3
1
2
930
479
2 8
1
7 9
7 9
7 9
1
127
127
127
2
314
169
2 4
2
9 6
6 1
2 6
1 0
4 1
1 9
2
OCT
3
4 3
3 6
3 0
9
6 1
3 1
9
4 1
2 1
3
1
6 2
6 2
6 2
2
7 0
6 3
57
3
7 9
7 3
6 8
2
9 1
6 5
4 0
1 7
5 3
1 5
3
2
6 3
5 1
4 0
3
1 9
1 3
5
1
6 1
6 1
6 1
1
4 7
4 7
4 7
3
6 5
58
4 7
1 3
9 8
3 9
i
NOV
1
9
9
9
1 5
9 4
17
1
2
17
1 3
8
1
6
6
6
3
2 5
17
9
3
1 9
10
5
2
13
10
8
29
37
1 4
2
1 5
1 3
1 1
1
12
12
1 2
1
1 0
10
10
2
1 7
1 2
8
1 1
18
8
3
DEC
2
4 3
2 8
1 3
1 6
3 9
1 0
1
2
20
1 5
1 0
1
1 1
1 1
1 1
i
6
6
6
2
1 5
1 1
8
3
1 1
9
b
34
2 9
1 2
2
1 0
b
7
3
20
1 1
2
3 1
2 1
1 2
1 0
1 6
6
1
-------
TABLE 4. RADIOACTIVITY—URBAN STATIONS
(MICROMICROCURIES PER CUBIC METER) x W
77
STATION LOCATION
LOUISVILLE KY
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BALTIMORE MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHARLOTTE NC
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
WINSTON SALEM NC
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
SAN JUAN PUERTO RICO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NORFOLK VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
RICHMOND VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
CHARLESTON W VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
WHEELING W VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BIRMINGHAM « L A
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TAMPA FLA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
MIAMI FLA
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
ATLANTA GA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N | M U M
COLUMBUS GA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
JACKSON MI'SS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
54 57
5 7
b 7
5 7
3 7
5 7
5 7
53 57
57
5 7
53 57
5 7
53 57
57
5 7
JAN
3
2 8
1 d
3
2
1 0
1 7
1 7
3
4
1
1 4
6 4
1 6
2
1 4
9
5
1 0
5 1
e
FEB
4
1 7
8
3
2
1 7
1 3
1 0
1 0
3 2
8
2
4
4
4
1 3
104
1 4
MAR
1
1 Z
1 2
1 2
2
7
4
1
1 1
4 3
1 5
1
1
2 6
2 6
26
9
6 9
1 9
1
APR
6
1 1
3
1
2
5 7
34
1 2
5
1 4
6
3
1 1
119
3 1
2
2
14
1 0
6
7
533
113
5
1
121
121
121
MAY
5
6 4
2 1
4
1
2 2
2 3
2 2
2
4 S
3 0
1 S
2
2 3
2 3
2 3
2
3 0
2 4
1 9
2
9 4
6 1
2 9
6
5 2
1 B
1
1
5 5
5 5
5 5
3
6 1
2 7
6
1 0
130
3 6
6
3
4 2
3 6
1 8
6
112
3 0
3
3
6 9
4 3
2 4
2
1 2
1 1
1 0
JUNE
5
3 1
1 3
3
3
5 3
2 9
1 5
3
2 0
1 6
1 1
2
2 6
2 5
2 4
2
1 2
9
6
2
115
7 9
4 4
2
243
124
6
5
3 8
1 4
3
2
3 3
3 2
3 2
2
4 3
3 0
1 8
1 0
476
6 0
4
1
2 2
2 2
2 2
10
115
3 4
7
2
9
6
4
1
8 8
8 8
U 8
JULY
1 3
6 5
1 0
1
2
6 9
5 3
38
2
4 5
3 3
2 1
2
109
6 1
1 4 '
2
2 3
2 2
2 2
3
9 8
4 7
2 0
2
155
8 8
2 2
6
2 8
1 1
1
1 6
1 6
1 6
2
334
140
4 6
1 3
137
2 4
3
3
7 2
39
2 0
7
238
4 5
2
2
S 2
4 1
3 0
3
102
5 4
1 7
AUG
1 3
4 1
8
1
3
148
64
3 0
3
234
137
4 1
3
106
5 0
1 8
2
5 0
2 9
9
1
7
7
7
3
4 5
30
16
4
2 3
1 0
2
2
2 3
18
1 3
1
59
59
5 9
1 4
431
37
3
4 1
2 4
7
8
9 2
2 1
2
2
2 1
1 9
18
3
441
173
1 9
SEPT
7
738
130
5
2
2 8
3 8
3 8
2
6 3
4 8
3 4
1
8
a
8
3
5 8
4 2
3 7
2
59
4 6
3 3
2
55
4 7
39
6
333
6 6
3
2
836
431
3 6
2
146
8 5
2 5
1 0
124
2 1
2
340
183
2 6
S
196
7 0
5
2
167
9 4
3 2
1
1 7
1 7
1 7
OCT
6
316
8 4
1 2
3
6 2
4 1
2 0
1
102
102
103
3
3 1
2 1
1 S
3
29
1 4
6
1
1 5
1 5
1 5
3
90
4 5
1 6
8
6 2
18
3
2
9 6
6 4
3 3
3
67
39
1 3
8
658
153
3
5 6
3 6
17
6
97
4 5
6
3
6 1
58
5 5
3
562
340
2 0
NOV
1
50
50
50
2
1 9
16
13
3
2 1
16
12
2
16
11
6
3
7
6
5
3
33
14
3
1
17
17
17
6
14
8
3
3
33
15
7
1
15
15
15
11
7 4
27
2
3
4 6
31
14
5
34
1 4
5
3
36
23
10
3
16
12
8
DEC
1 0
5 1
1 4
3
2
14
9
4
3
20
1 5
1 1
2
1 3
1 1
1 0
1
1 8
l a
1 a
2
1 B
1 4
1 0
3
2 9
31
1 7
1 3
30
1 3
B
1 7
1 6
1 6
1 5
6 7
1 4
2
1 9
1 4
9
1 1
4 7
1 9
1
2
2 9
2 6
2 4
1
1 5
1 5
1 S
-------
TABLE 4. RADIOACTIVITY—URBAN STATIONS
(MICROMICROCURIES PER CUBIC METER) x Ifr1
STATION LOCATION
COLUMBIA S C
NUMBER OF SAMPLES
M A X I MUM
AVERAGE
Ml N I M U M
GREENVILLE SC
NUMBER OF SAMPLES
M A X | MUM
AVERAGE
Ml N I M U M
CHATTANOOGA TENN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N I M U M
KNOXVILLE TENN
NUMbER OF SAMPLES
MAXIMUM
AVERAGE
Ml N I M U M-
NASHVILLE TENN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N I M U M
CHICAGO ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
U I N I M U M
SPRINGFIELU ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N I M U M
EAST CHICAGO IND
NUMBER OF SAMPLES
MAX I MUM
AVERAGE
Ml N I M U M
EVANSVILLE IND
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N I M U M
FORT WAYNE I NO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N I M U M
INDIANAPOLIS IND
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N I M U M
DETROIT MICH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N I M U M
KALAMAZOO MICH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
LANSING MICH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N I M U M
FLINT MICH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N I M U M
CINCINNATI OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N I M U M
YEARS
5 7
57
55 57
5 7
57
54 57
5 7
55 57
5 7
5 7
5 7
S3 57
57
5 7
57
53 57
JAN
1 4
4 1
7
3
I 4
5 6
i 3
3
2 3
3 5
5
FEB
5
5 3
1 3
3
1 0
2 9
1 2
2
4
1
2 6
39
6
MAR
3
1 2
8
6
1
9
9
9
1 2
383
7 a
1
4
1 3
1 0
a
3
3
1
1
7 6
107
7
APR
5
116
3 4
1
8
9 9
37
3
5
38
2 7
1 6
4
1 1
3
1
34
5 4
1 1
MAY
2
6 9
5 9
4 9
3
5 4
3 4
1 2
5
527
134
2 7
1
4 4
4 4
4 4
3
6 1
3 8
3 1
1 3
669
6 9
2
3 7
2 4
2 1
1 4
6 1
3 0
5
3
4 4
21
6
2
3 3
3 7
2 3
3
6 8
4 9
3 1
4
6 0
2 1
3
3 6
3 3
3 0
3
3 3
2 5
1 3
1
3 0
3 0
-3 0
3 9
6 4
1 0
JUNE
3
170
8 3
1 1
3
685
241
9
5
4 8
3 1
1 1
3
2717
913
8
2
3 8
1 9
1 0
2 4
2 3
9
1
5 0
5 0
5 0
5
3 6
2 2
1 8
2
3 8
3 8
1 9
2
3 1
2 3
1 6
3
4 4
3 1
1 9
5
3 6
1 3
8
3
1 3
1 1
1 0
2
3 1
3 0
2 9
2
3 8
33
2 9
2 8
4 2
1 0
1
JULY
3
9 8
7 8
5 8
3
247
100
2 3
8
481
9 4
1
3
8 8
5 8
2 9
3
2 6
3 4
3 3
2 6
11
4
1
3
188
111
1 7
1 0
296
6 8
8
3
148
105
6 3
3
486
173
1 2
3
3 9
37
1 6
2
5
4
3
3
350
140
3 1
3
179
9 9
2 0
3
5 4
3 8
1 4
3 7
7 3
1 0
2
AUG
3
7 1
37
1 6
3
6 3
5 1
3 9
9
5 5
1 5
3
3 2
2 8
3 4
2
27
3 0
1 3
3 3
8
3
1
1
721
731
731
6
6 1
2 6
1 6
3
2 6
2 3
2 0
1
1 9
19
1 9
3
418
203
5 8
3
4 5
39
3 2
2
1 6
1 4
1 2
3
4 7
2 3
1 1
3
363
188
1 5
2 1
17
4
1
SEPT
1
4 3
4 2
4 3
3
475
192
3 1
4
731
213
3
3
330
119
5 2
3
145
8 3
4 0
1 9
5 8
1 1
2
109
5 6
4
3
39
3 1
2 1
2
1 8
1 6
1 4
2
6 5
6 1
5 8
2
57
4 6
4 0
3
114
4 7
4
2
706
361
1 6
1
4 8
4 8
4 8
2
4 3
3 6
3 0
3 2
219
2 0
2
OCT
2
7 7
7 3
6 9
2
7 0
6 6
6 2
2
9 0
8 7
8 4
3
57
39
2 2
1 0
2 6
1 5
2
2
2 5
1 7
1 0
1 0
252
8 3
7
2
6 4
4 1
1 9
4
8 1
4 6
3 9
4
153
7 4
3 9
3
100
6 0
2 1
1
6
6
6
3
6 5
3 9
1 3
3
4 6
3 4
2 4
3 3
107
1 6
1
NOV
3
30
1 8
2
3
26
1 9
12
3
105
5 3
3
3
16
13
1 1
2
2 1
1 4
7
IS
4 9
20
5
1
13
13
12
6
35
1 9
4
1
3
3
3
3
1 5
a
4
2
3 3
14
6
35
8
1
3
16
13
8
2
1 3
1 1
10
2
28
2 2
1 6
3 3
33
0
DEC
1
1 5
1 5
1 5
2
1 9
1 7
1 6
3
2 1
1 6
1 0
3
1 4
1 1
b
2
1 4
1 1
9
2 0
4 9
1 8
1
3
21
16
9
5
69
3 3
6
3
20
1 9
1 8
2
24
•2 0
1 6
3
28
2 0
1 3
1
3 2
3 2
3 2
2
1 4
1 1
R
2
1 1
1 0
1 0
3
1 7
1 3
g
3 S
3 4
1 1
-------
TABLE 4. RADIOACTIVITY—URBAN STATIONS
(MICROMICROCURIES PER CUBIC METER) x Ifr1
79
STATION LOCATION
YOUNGSTOWN OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
1.1 1 N | M U M
CANTON OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CLEVELAND OHIO
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
MINIMUM
COLUMBUS OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TOLEDO OHIO
NUMBER OF SAMPLES
M A X 1 M U M
AVERAGE
Ml N 1 M U M
LORAIN OHIO
NUMBER OF SAMPLES
M A X 1 M U M
AVERAGE
Ml N 1 M U M
M 1 L II A U K E E ,V 1 S
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
RACINE ft 1 b
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
DES M 0 1 N E S IOWA
NUMBER OF SAMPLES
M A X | M U M
AVERAGE
MINI i',: U M
KANSAS CITY KANSAS
NUMBER OF SAMPLES
M A X 1 M U M
AVERAGE
M 1 N 1 U U M
WICHITA KANSAS
NUMBER OF SAMPLES
M A X 1 M U M
AVERAGE
M 1 N 1 M U •<'
MINNEAPOLIS MINN
NUMBER OF SAMPLES
M A X 1 M U M
AVERAGE
U 1 N 1 M U W
D U L U T H M 1 H II
NUMBER OF SAMPLES
M A X 1 M U M
AVERAGE
Ml N 1 M U M
KANSAS CITY MO
NUMBER OF SAMPLES
M A X 1 M U M
AVERAGE
Ml N | M U M
S T LOUIS M 0
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
OMAHA NEB
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
YEARS
b 7
57
57
5 7
b 7
57
57
b 7
b 7
5 b 57
b 7
53 57
5 7
53 57
5 7
57
JAN
1 0
1 B
b
1
1
5
5
5
9
7 4
2 1
FEB
1
1 2
1 2
1 2
1 0
1 6
7
2
1 7
1 3
1 0
8
4 5
1 3
1
MAR
1
1 0
1 0
1 0
1 2
6 3
1 3
1
2
3 U
2 3
1 6
1 3
3 5
1 U
APR
3
125
B b
4 5
1 2
2 0
9
1 2
B 0
2 3
1
1
6 0
6 0
6 0
MAY
2
a 9
1 6
3
3
7 5
4 8
6
3
4 9
4 1
3 7
3
5 2
4 0
2 8
2
6 3
3 8
1 4
2
7 B
6 1
4 4
2
3 7
2 7
1 7
3
2 5
2 4
3 4
3
8 6
4 7
1 6
7
7 3
4 2
2 0
1
4 0
4 0
4 0
1 4
6 1
1 9
1
3
127
5 8
1 3
1 3
8 3
3 0
3
3 1
1 9
1 4
2
2 0
1 1
3
JUNE
1
1 5
1 5
1 5
1
4 8
4 8
4 8
2
3 1
1 8
1 6
2
2 9
2 4
1 9
2
2 3
2 1
1 9
3
4 3
3 8
3 4
1
1 0
1 0
1 0
2
2 1
1 8
1 6
2
705
363
2 1
1
158
158
158
3
5 0
37
1 6
1 4
3 b
1 3
3
2
1 9
1 6
1 3
1 1
4 1
1 6
1
2
2 9
2 5
2 1
2
143
8 1
2 0
JULY
3
3 2
1 8
1 1
3
1 7
1 5
1 4
3
3 0
2 6
2 3
2
134
120
106
1
3 2
3 3
3 2
1
1 6
1 6
1 6
2
129
110
9 1
3
3 9
2 0
1 3
2
143
8 0
1 8
3
3240
1146
7 9
1 3
468
4 3
2
2
2 5
2 1
1 7
1 1
137
2 1
3
3
116
103
9 0
2
7 5
4 7
2 0
AUG
2
1 7
1 5
1 4
3
6 7
3 1
1 1
2
2 8
2 1
1 4
2
6 5
5 2
4 0
2
501
256
1 1
2
1 6
1 5
1 4
2
493
252
1 2
2
3 B
3 0
1 3
3
3 8
3 4
2 1
1
5
5
5
3
106
6 9
3 3
2 5
358
18
2
2
199
111
2 4
1 3
634
7 5
3
2
1301
613
2 6
2
378
170
6 3
SEPT
2
1067
747
427
1
2 3
2 3
2 3
2
1050
540
3 1
3
205
130
4 7
3
4 5
3 5
2 1
2
1179
597
1 S
2
3 8
3 1
2 5
1
215
215
215
2
374
197
2 0
1
1 1
1 1
1 1
1 3
9 2
2 0
3
153
9 6
4 1
8
117
3 7
2
3
738
291
5 8
2
169
107
4 5
ocr
£
119
7 7
3 5
2
2 5
2 4
2 4
3
S 0
4 7
4 5
4
7 4
5 4
4 1
3
4 9
4 4
3 9
3
7 4
5 1
2 8
3
3 4
2 7
1 8
2
231
125
2 0
3
115
7 8
4 1
2
405
231
5 7
1 7
5 7
1 5
1
3
118
101
8 8
1 5
136
27
1
2
239
143
4 8
2
3 3
3 2
3 2
NOV
~
24
1 8
9
c
2 3
18
1 3
•3
28
2 1
1 2
^
33
1 9
4
2
1 4
1 3
1 3
2
22
1 S
8
2
11
7
3
2
1 1
10
9
2
2 7
2 2
18
3
9
7
5
1 6
20
6
1
2
5
3
2
b
16
7
3
2
1 4
1 1
8
3
26
1 6
12
DEC
2
7
6
b
3
2 7
1 0
b
2
22
2 0
1 9
3
3 1
2 4
1 7
2
1 3
b
4
2
2 5
1 9
1 4
2
1 3
9
5
2
2 7
1 6
6
3
1 b
1 2
B
2
2 2
1 b
1 4
1 3
30
1 0
2
1 1
b
6
6
30
7
1
1 1
1 1
1 1
2
1 2
9
7
-------
80
TABLE 4. RADIOACTIVITY—URBAN STATIONS
(MICROMICROCURIES PER CUBIC METER) x 10-'
STATION LOCATION
LINCOLN NEB
NUMBER OF SAMPLES
WAX 1 f ' U M
AVERAGE
Ml N 1 M U M
BISMARCK U U
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SIOUX FALLS SO
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
LITTLE ROCK ARK
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NEW ORLEANS LA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
B « T 0 N ROUGE LA
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
ALBUQUERQUE NM
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TULSA OKLA
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
FT WORTH TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LAKEHORTH TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HOUSTON TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BELLAIRE TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DALLAS TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN ANTONIO TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EL PASO TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CORPUS CHRISTI TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 I' U M
YEARS
5 7
57
5 7
5 7
54 57
57
b 7
57
S3 56
S3 55
53 57
53 56
5 7
5 7
57
5 7
JAN
9
5 3
1 0
2
8
3 B
1 2
2
4
5
3
2
9
2 3
6
6
5 4
2 0
1
1
1 5
1 5
1 5
1
1 3
1 3
1 3
FEE
7
9 B
2 7
5
8
152
3 2
1
5
1 3
5
8
196
5 2
1
3
5
3
1
2
9
7
5
1
2 4
2 4
2 4
1
1 5
1 5
1 5
MAR
1 0
4 9
2 4
6
1 2
100
2 7
6
5
4 7
2 6
1 2
1 0
2 9
1 1
1
3
1 3
7
3
5 7
3 3
1 0
1
4 1
4 1
4 1
APR
7
104
29
8
1
2 3
8 3
2 3
7
2 3
1 3
6
4
5 1
22
4
6
3 7
2 3
3
1
6 1
6 1
6 1
1
1 5
1 5
1 5
1
3
3
3
MAY
2
1 9
1 0
2
8
4 1
4 1
4 1
3
3 2
2 3
1 4
3
3 4
2 4
1 4
1 2
259
4 8
6
8
4 4
3 4
2 5
3
7 0
5 0
3 1
2
7 4
4 3
1 0
1 0
145
3 3
4
5
126
5 1
2
9
8 4
2 5
5
1
4
4
4
3
3 1
2 2
6
2
3 1
1 9
1 8
3
6 4
5 0
3 6
3
1 7
1 4
1 1
JUNE
2
5 4
4 0
2 6
2
3 6
27
1 9
2
1 3
1 1
10'
2
1 3
1 1
1 0
1 5
39
1 3
5
2
6 0
3 4
9
3
575
297
2 0
1
1 1
1 1
1 1
1 3
3 4
1 5
1
6
3 0
1 2
3
1 3
3 1
14
3
3
9
6
4
3
999
618
338
2
9 5
5 6
1 8
3
8 4
6 0
3 7
3
1 7
1 2
8
JULY
3
110
7 2
3 5
2
331
267
203
2
7 4
5 3
3 1
3
138
8 5
3 3
1 5
6 1
9
1
2
5 2
3 9
2 6
2
150
110
7 0
1 1
4 5
1 2
2
8
8
5
3
1 2
133
2 3
1
3
7
4
2
3
181
147
114
3
8 5
6 6
4 8
4
377
201
168
8
4 4
2 9
1 5
AUG
3
2 9
27
2 6
3
6 1
38
1 7
2
549
323
9 7
3
713
363
1 9
1 0
2 0
5
1
3
9 2
5 5
2 3
1
18
1 8
1 8
3
124
115
103
1 3
4 7
1 4
1
7
8
3
1
9
107
1 7
7
7
3
1
2
672
345
1 9
8
347
185
3 3
2
88
3 1
1 4
2
834
133
3 1
SEPT
3
823
153
8 3
1
6 1
6 1
6 1
2
8 9
5 2
1 5
2
4 9
4 4
3 9
1 3
1487
156
1
1
87
8 7
B 7
2
539
317
9 5
1
3 9
39
3 9
1 2
137
2 S
5
3 2
1 3
4
6
539
110
5
2 1
6
2
245
143
4 0
3
1618
816
1 4
3
1931
1662
1876
3
1494
593
1 3
ocr
3
3 8
2 0
5
3
8 1
SO
1 6
3
309
105
1 0
2
8 4
59
3 4
1 1
312
36
3
134
103
87
2
148
8 1
1 4
2
535
287
40
1 3
6 8
1 5
1
3
1 3
1 0
6
1 0
101
S B
2
4
2 5
8
1
1
298
398
398
2
140
78
1 7
2
841
127
1 4
1
6 6
6 6
6 6
NOV
1
b
6
8
2
15
11
7
3
1 4
1 4
1 4
8
16
15
14
13
67
29
1
2
3 8
1 8
8
2
2 1
1 4
B
3
30
16
10
14
4 4
14
5
37
2 3
1 6
1 2
5 7
20
1
4
4 2
3 1
1
3
38
18
7
2
1 6
1 4
13
2
2 4
1 6
9
2
24
18
13
DEC
3
3 5
1 b
1 0
1
1 3
1 3
1 3
2
1 9
1 6
14
3
1 3
1 1
1 1
1 6
11 U
2b
4
2
2 6
2 1
1 6
3
1 9
1 6
1 3
3
1 9
1 5
1 1
9
3 3
1 B
1
5
31
1 3
2
1 7
3 9
1 3
4
1 6
9
1
31
31
3 1
2
1 5
1 1
b
2
33
25
1 9
3
8 1
1 9
1 b
-------
TABLE 4. RADIOACTIVITY—URBAN STATIONS
(MICROMICROCURIES PER CUBIC METER) x 10"'
81
STATION LOCATION
DENVER COL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
80ISE IDAHO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HELENA MONTANA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
SALT LAKE CITY UTAH
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
CHEYENNE « Y 0
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ANCHORAGE ALASKA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PHOENIX ARIZ
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LOS ANGELES CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN FRANCISCO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
PASADENA CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BERKELEY CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN JOSE CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN LEANDRO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
SAN DIEGO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
BURBANK CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN BERNARUINO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
54 57
5 7
57
53 57
5 7
53 57
57
54 57
55 57
53 57
54 55
54 57
55 56
57
5 7
5 7
JAN
9
100
2 5
1
8
4 8
1 7
1
1
4 9
4 9
4 9
6
1 1
2
i
3 0
3 0
3 0
9
5 6
2 3
2
3
5
2
1
5
4
2
1
5
3 7
2 4
1
1 4
1 4
1 4
1
1 0
l o
1 0
FEB
8
4 9
1 3
1
7
4 6
1 1
1
2 2
2 2
2 2
8
1 1
3
1
1
1
1
8
4 3
9
1
5
2 5
6
4
1 1
4
1
3
4 3
2 0
9
2
1 7
1 5
1 4
1
2 1
2 1
2 1
1
8
8
8
MAR
3
339
126
1 d
3
1800
b 1 7
2 5
1
1 2
1 2
i 2
7
1 0
3
6
2 6
7
9
2 9
9
1
4
1 9
7
1 0
2 5
9
1
3
2 7
1 5
4
1
3 3
3 3
3 3
1
5 5
5 5
5 5
APR
7
4 6
2 4
1
1
5 5
5 5
5 5
2
37
2 2
8
8
2 0
5
5
7 3
15
1
8
6 0
1 6
7
9
4
7
2 3
9
3
1 7
1 3
5
1
6 5
6 5
6 5
MAY
3
5 7
2 8
1 0
3
140
7 5
7
3
8 9
5 8
2 8
8
4255
608
3 1
1
2
2
2
9
1 6
4
3
7 5
6 1
5 0
8
6 9
2 3
1
6
3 3
1 6
7
9
8 2
2 0
6
3
4
1
9
1 8
7
1
2
2 8
2 6
2 4
3
5 9
2 6
8
2
2 5
1 4
3
2
4 0
2 9
1 8
JUNE
1 3
214
5 7
8
2
3 0
2 3
1 7
2
3 3
2 0
7
7
3 7
1 5
4
3
7 5
4 9
1 4
1 0
1 4
3
2
30
2 7
2 5
4
1 5
7
2
5
1 0
6
1
9
9
4
1
4
2
1
10
1 5
6
1
3
4
2
1
1
2 3
2 3
2 3
2
1 3
8
4
3
3500
1186
2 1
JULY
1 3
1063
145
3
2
1423
778
133
2
241
137
3 3
6
8 8
3 6
4
3
1560
1071
592
7
4 0
9
1
2
3691
1984
277
4
273
7 8
6
4
7
5
8
8
4
3
3
2
1
1
8
1 4
4
1
4
112
3 0
1
3
4 3
2 3
1 2
2
5 0
3 7
2 4
5
6 4
5 8
4 9
AUG
1 1
116
2 4
2
3
4 2
3 0
2 1
2
37
2 4
1 2
9
> 4 3 5 0
6061
2
2
242
144
4 7
7
7
1
2
5 1
3 6
2 2
2
1 6
1 4
1 2
5
9
3
6
9
4
2
2
1
1 0
1 7
4
1
8
1 1
3
1
3
1 9
1 4
1 1
3
3 5
2 9
2 2
1
4 1
4 1
4 1
SEPT
1 1
1592
198
2
2
453
294
136
2
8 2
5 4
2 6
8
160
4 3
3
2
361
221
8 2
1 2
110
2 1
2
143
131
120
1
3 3
3 3
3 3
4
6 9
3 7
2 0
6
4 9
2 1
2
3
4 0
1 7
3
1 0
110
3 4
1
2
4 8
2 6
4
1
8 6
8 6
8 6
1
3 6
3 6
3 6
1
113
113
113
OCT
7
631
123
2
2
3 6
2 5
1 5
3
3 0
1 7
8
3
5 3
29
3
2
2337
1273
210
7
1 4
8
2
3
7319
2458
1 9
2
1 6
1 3
1 0
7
3 7
2 8
6
4
2 4
1 6
1 0
8
3 4
2 6
1 7
1
3 4
3 4
3 4
2
4 6
4 2
3 8
2
3 6
2 7
1 9
1
19
1 9
1 9
NOV
10
6 3
1 4
2
2
20
1 7
1 4
1
8
8
8
7
170
4 6
4
2
2 1
1 1
2
13
4 3
1 5
1
2
6 4
SO
3 6
2
25
22
19
1
1 5
1 5
15
5
80
8
1
5
5 1
25
8
9
35
17
5
1
2
2
2
3
1 9
14
10
4
19
1 4
1 1
2
20
1 9
1 9
DEC
U
4 a
2 7
1 6
1
6
D
6
3
2 7
1 9
1 2
9
7 7
2 7
3
4 9
3 5
2 5
1 0
1 5
5
2
32
2 3
1 5
1
2 9
29
2 9
3
5 6
3 4
7
6
4 7
1 3
4
4 0
1 5
6
5
6b
2 0
4
4
4 0
1 5
2
2
1 7
1 S
1 3
1
1 6
1 6
1 6
1
1 9
1 y
1 9
-------
82
TABLE 4. RADIOACTIVITY—URBAN STATIONS
(MICROMICROCURIES PER CUBIC METER) x 10"
STATION LOCATION
HONOLULU H A >V A 1 1
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
LAS VEGAS NEVADA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PORTLAND OREGON
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SEATTLE HASH
NUMBER OF SAMPLES
U A X 1 MUM
AVERAGE
Ml N 1 M U M
YEARS
56 57
57
S3 57
5 7
JAN
1
6
6
6
1 3
3 2
4
3
2 1
1 2
2
FES
2
3 0
1 7
4
7
1 1
2
1
1 6
1 6
1 6
MAR
2
3 7
3 0
2 3
1 7
l B a
l b
i
4
4
4
APR
2
2 7
1 7
8
9
1 8
7
1
2
1 0
6
3
MAY
5
4 7
2 4
5
2
4 2
4 0
3 8
1 0
3 1
8
1
3
3 0
1 9
9
JUNE
7
3 6
1 3
4
3
3800
2082
1 8
1 0
1 6
4
2
1 6
1 0
4
JULY
6
5 2
3 0
5
2
250
152
5 5
1 3
35
5
2
8
5
3
AUG
6
38
1 4
3
2
2 9
2 7
2 5
1 1
1 1
3
1
2
7
5
4
SEPT
5
4 8
2 1
2
3
546
334
98
1 1
5 7
2 5
1
3
7 9
3 1
2
OCT
4
38
19
6
2
4 4
3 6
2 8
3 5
4 3
1 2
2
27
2 3
19
NOV
6
25
9
4
2
36
2 5
1 5
23
185
37
1
8
8
8
DEC
3
24
1 1
3
2
28
22
1 7
1 6
1 9
4
2
1 2
9
6
-------
TABLE 4. RADIOACTIVITY^-SUBURBAN STATIONS
(MICKMUOtOCUMES PER CUBIC METER) x 1C-'
83
STATION LOCATION
MIDDLESEX CNTY MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
K A N A W H A CO W V A
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HILLSBOROUGH CO FLA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
FULTON CO GEORGIA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
HAMILTON COUNTY OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TONKA BAY MINN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
E D 1 N A MINN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DENVER COUNTY COLO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SALT LAKE CO UTAH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
MULTNOMAH CNTY ORE
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
55 56
54 56
53 56
53 55
53 55
S3 54
54 55
54 56
53 55
54 55
JAN
3
4 6
1 8
4
7
4
1
5
8
3
6
9
2
3
2
1
1
3
8
5
3
4
3 2
1 2
4
6
1 1
4
1
FEB
1
6
6
6
5
6 0
2 1
3
7
1 0
4
8
2 4
4
7
1 1
2
4
1
3
5
3
2
3
30
1 4
4
2
1
1
1
1
4
4
4
MAR
1
7
7
7
2
1 0
9
9
1 0
37
1 3
1
9
1 4
8
1
1 0
9
2
1
4
1 3
3
3
1 0
1 0
1 0
1 0
517
118
1 1
4
36437
10648
6
1
APR
1
2
2
2
2
2 0
1 1
3
1 0
31
1 0
1
9
4 3
1 3
2
3
5
3
1
4
3
1
1
13
1 2
1 2
2
2 0
1 4
8
2
3 1
29
27
MAY
6
1 3
7
2
5
3 5
1 2
1
S
613
131
7
S
531
120
4
5
2 3
5
4
4
2
1
1
34
3 4
3 4
6
8 0
3 8
1 1
1
1 7
1 7
1 7
3
1
1
1
JUNE
4
6
3
1
5
20
7
1
3
1 5
1 1
8
5
8
5
3
3
9
5
1
4
4
3
2
3
70
3 3
9
5
4 1
2 1
1 2
6
3 2
1 6
7
JULY
6
1 5
5
1
6
9
5
2
7
2 1
5
1
8
8
3
1
4
6
3
2
3
4
2
4
173
7 2
7
9
1 7
9
3
3
2
1
1
AUG
4
2
1
1
4
4
2
1
7
1 4
4
1
6
1 0
5
1
4
3
2
1
6
1 4
6
1
5
1 3
5
2
SEPT
•3
8 5
4 3
1 8
6
3 0
9
3
S
1 4
5
3
3 6
1 7
6
4
4
2
2
4
9
2
6
5 0
1 4
2
3
3 0
1 5
5
1
3
2
2
OCT
2
1 6
8
3
1 0
8
7
6
29
1 2
2
4
3 1
1 4
1
4
9
6
3
4
8
5
1
7
6 6
2 0
2
58
3 1
5
6
2 3
1 2
6
NOV
4
16
1 1
6
3
39
29
23
2
19
1 7
15
6
10
4
1
6
23
10
3
1
18
18
1 8
4
6 1
3 9
1 1
5
170
6 7
20
5
116
50
2
DEC
2
3 4
22
1 1
6
4 0
1 0
4
5 5
1 5
7
1 5
4
4
1
4
1 4
1 0
5
5
5 6
2 8
1 1
5
56
1 8
-------
84
TABLE 4. RADIOACTIVITY—NONURBAN STATIONS
(MICROMICROCURIES PER CUBIC METER) x 10-'
STATION LOCATION
LITCHFIELD C N T Y CONN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ACADIA N A T N L PARK ME
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
M T MANSFIELD FRST VT
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
WORCESTER COUNTY MD
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
CAPE HATTERAS N C
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SHENANDOAH PARK VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
HOLLY RIVER PK W VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
GULF SHORES PARK ALA
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
FLORIDA KEYS FLORIDA
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
OATLAND ISLAND GA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
JACKSON COUNTY MISS
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
FT DONELSON TENN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SANGAMON COUNTY ILL
NUMBER OF SAMP.ES
MAXIMUM
AVERAGE
Ml N 1 M U M
HURON COUNTY MICH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PERRYS MEMORIAL OHIO
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
ELLIS COUNTY KANSAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
COOK COUNTY MINN
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
YEARS
55 56
57
57
5 7
5 7
57
5 7
5 7
57
5 7
57
5 7
5 7
5 7
57
5 7
57
JAN
3
1 0
5
FEB
MAR
APR
MAY
2
2 0
I 5
1 1
2
2 7
2 5
2 3
3
4 2
2 4
1 1
2
2 4
1 4
4
2
2 8
1 9
1 1
2
4 7
2 9
1 1
1
2 3
2 3
2 3
1
1 7
1 7
1 7
1
2 1
2 1
2 1
2
2 8
2 0
1 3
JUNE
1
7
7
7
1
3 2
3 2
3 2
4
338
100
B
3
5 5
4 0
2 5
2
4 0
2 8
16
2
1 7
1 3
9
2
2 4
2 3
2 2
4
20
1 5
1 2
1
8 6
8 6
8 6
2
1 8
1 5
1 2
JULY
3
7
5
4
5
4 8
2 2
5
2
1 4
1 3
1 3
3
6 5
3 6
2 1
4
5 5
4 0
2 2
2
5 4
3 6
1 8
3
353
182
2 6
2
2 2
1 8
1 4
4
219
7 4
9
2
6 2
5 9
5 7
1
122
122
122
AUG
1
5
5
5
2
1 2
1 1
1 1
2
6 0
3 5
1 0
4
7 0
28
5
1
1 7
1 7
1 7
3
654
245
2 5
4
710
201
1 7
1
8 1
8 1
8 1
2
2 2
1 6
1 1
4
4 0
2 3
1 6
2
4 3
3 3
2 3
2
1 9
1 6
1 4
4
1 5
1 1
8
2
1316
670
2 4
3
2 0
1 3
9
SEPT
2
2 2
1 9
1 7
2
189
111
3 4
4
374
109
1 6
3
150
8-9
1 4
4
7 3
4 2
8
4
87
5 3
2 5
1
2 8
2 8
2 8
3
1129
386
1 1
2
289
158
2 8
2
8 7
6 2
37
4
226
8 2
1 5
1
8 3
8 3
8 3
2
4 5
3 0
1 6
OCT
1
2 4
2 4
2 4
1
102
102
102
3
4 1
2 4
1 2
2
5 5
3 2
1 0
3
4 8
3 3
24
3
8 2
4 3
1 0
4
126
7 6
4 4
3
174
130
7 1
3
4 3
2 8
4
5
894
267
2 4
2
6 2
6 0
5 8
1
2 4
2 4
2 4
5
9 6
5 2
2 2
2
6 4
5 5
47
2
5 1
28
5
NOV
1
3
3
3
3
25
17
7
2
20
1 4
8
5
26
16
8
2
15
14
13
4
53
29
1 4
3
21
13
3
4
17
14
8
3
22
13
8
2
7
6
6
3
1 5
1 1
9
2
2 1
1 6
12
2
25
1 9
1 3
4
23
i 3
7
2
12
1 1
11
2
1 5
1 4
1 3
DEC
3
2 1
1 5
4
2
1 0
6
2
3
1 6
1 2
7
1
l a
1 6
1 6
2
1 3
1 1
9
2
1 7
1 4
1 1
4
2 2
1 6
1 2
3
2 4
1 8
1 0
2
1 b
1 4
1 1
5
26
1 8
1 4
1
1 0
1 0
10
1
3 5
25
2 5
4
1 2
8
5
4
1 7
1 2
5
2
3 6
2 2
a
2
1 4
1 2
1 0
-------
TABLE 4. RADIOACTIVITY—NONURBAN STATIONS
(MICROMICROCURIES PER CUBIC METER) x Ifr1
85
STATION LOCATION
SHANNON COUNTY MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
VI 1 IV 1 M u M
THOMAS COUNTY NEBR
NUMBER OF SAMPLES
M A X 1 M U M
AVERAGE
Ml N 1 M U M
WARD COUNTY N 0
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BLACK HILLS F R S T S 0
NUMBER OF SAMPLES
M A X 1 M U M
AVERAGE
Ml N 1 M U M
P T WORONZOF ALASKA
NUMBER OF SAMPLES
^ A X 1 MUM
AVERAGE
M } N 1 M U M
GRAND CANYON ARIZ
NUMBER OF SAMPLES
'•' A X 1 MUM
AVERAGE
Ml N 1 M U M
,V A 1 y A N 0 L 0 H A U A 1 1
N U >.< i E K OF SAMPLES
>' A X 1 M U '.(
AVERAGE
MINI '.! U M
YEARS
5 7
b 7
5 7
b 7
5b 57
5 7
5 7
JAN
1
3 4
3 ii
3 <<
1
1 b
1 b
1 8
FEB
3
3 8
1 8
4
8
1 7
1 6
1 6
MAR
2
9
b
APR
4
3 6
1 1
5
d
3 4
'i, 0
7
MAY
5
1 8
5
a
3 4
3 5
1 7
JUNE
4
4
2
1
2
154
8 7
2 1
2
1 9
i a
6
JUIY
3
4
a
i
3
558
362
130
2
5
4
4
AUG
1
100
100
100
4
2
1
1
3
135
8 4
2 3
2
4
3
3
SEPT
4
239
8 9
3 1
2
142
100
5 9
4
2 6
2 0
1 0
4
830
322
4 2
2
b 6
5 8
3 1
OCT
4
113
6 2
19
4
123
4 7
3
4
3 6
1 9
5
2
730
381
3 3
4
1 0
8
4
5
350
9 9
8
2
7 2
4 1
1 0
NOV
4
2 9
17
8
2
9
8
7
4
1 4
7
5
1
17
17
1 7
6
1 2
8
2
4
5 1
2 4
15
2
5
3
2
DEC
5
2 6
1 7
1 2
3
560
201
1 9
5
1 6
9
4
2
27
2 1
1 5
7
b
7
4
b
3 5
2 1
7
1
9
9
9
-------
86
TABLE 5. CHLORIDES—URBAN STATIONS
STATION LOCATION
WATERBURY CONN
BOSTON MASS
EVERETT MASS
ELIZABETH N J
PAULSBORO N J
CAMDEN N J
PERTH AMBOY N J
TRENTON N J
JERSEY CITY N J
NEW YORK N Y
PHILADELPHIA PA
ALTOONA PA
BRISTOL PA
CHESTER PA
ERIE PA
PITTSBURGH PA
WILLIAMSPORT PA
WASHINGTON DC
LOUISVILLE KY
CHARLESTON W VA
TAMPA FLA
ATLANTA GA
CHATTANOOGA TENN
CHICAGO ILL
EAST ST LOUIS ILL
SITE
1
1
1
1
1
1
1
1
1
1
1
a
2
2
z
3
1
I
1
1
1
1
1
1
1
1
2
2
1
1
1
2
2
2
4
1
1
3
4
1
2
2
2
4
1
2
YEARS
S 5
56
55 56
5 5
5 5
55 56
55 56
55 56
55 56
55 56
55 56
5 4
5 3
56
54 56
54 55
54
55
56
54 56
5 4
5 b
54 56
5 6
55 56
55 56
5 6
56
55 56
5 4
5 b
55 56
5 4
5 5
5*
54 56
54
5 b
54 55
5 -i
55
54 55
5 4
5 b
54 55
5 5
5 5
55 56
5 5
55 56
5 b 56
5 5
5 4
5 5
54 55
5 5
5 4
5 5
54 55
55 56
55 56
55 56
No. OF
SAMPLES
1 4
2 2
3 6
2 3
2 6
2 1
2 5
21
2 3
1 7
2 3
1 8
2 1
3
4 2
1 b
1 9
3 8
3
6 0
6 5
281
347
1 3
1 8
1 8
2 5
2 1
2 3
1 6
1 8
Q
2 0
1 6
1 8
2
3 6
1 7
2 1
3 8
1 3
1 0
2 3
3 1
3 1
6 2
1 6
2 1
1 6
1 4
1 8
3 3
2 8
2 5
3 6
5 1
2 9
2 5
8 3
108
1 5
1 4
3 9
(MICROGRAMS PER CUBIC METER) x 10"1
MIN
1
1
1
1
A
2
6
2
i
1
1
6
1
1
1
1
1
1
1
1
1
1
1
2
1
1
1
3
1
1
1
3
1
1
2
1
1
MAX
1 3
1 3
1 3
6
3 4
6
1 6
7
4
6
8
9 2
4 3
5 7
9 2
3
92
4 3
5 7
9 2
2 1
3 0
3 0
6
3
9
7
1 1
5
1 9
2 0
2 0
1 9
2 0
2
2 0
5 0
2 9
5 0
3 9
1 8
2 9
5 0
2 9
5 0
17
2 1
3 S
3
1 9
1 9
4 9
215
134
215
1 7
215
134
315
1 1
1 5
1 5
AVG
4
3
4
3
3
1
2
1
3
1
1 9
1 3
3 0
1 6
1
1 8
7
3 0
1 2
4
3
3
3
1
1
1
2
2
9
3
1
3
8
3
1
5
31
1 0
1 5
9
5
7
1 S
8
i 2
3
6
3
1
4
3
7
3 8
2 4
3 1
5
3 8
1 2
1 8
7
4
5
FREQUENCY DISTRIBUTION— PERCENT
10
1
4
2
2
3
1
1
1
1
4
4
3
1
1
1
1
1
1
1
3
1
1
6
2
3
1
6
1
1
3
1
1
20
2
1
1
1
1
1
5
2
6
3
4
1
6
1
1
1
1
2
1
1
4
4
3
1
2
3
1
1
3
1
2
1
2
2
1
2
7
3
4
2
7
2
2
4
2
2
30
2
1
1
2
1
1
1
8
3
6
5
8
1
6
2
2
1
1
3
3
1
5
5
1
1
6
2
3
6
1
3
S
2
3
2
3
1
1
2
1
2
1 4
4
6
2
1 4
2
3
6
2
3
4O
3
1
2
3
1
1
1
1
2
1
10
4
6
6
1
10
2
6
3
2
2
2
2
1
1
2
2
5
1
1
5
1
1
1
1 2
3
6
6
2
3
7
3
5
2
3
1
1
3
1
2
23
5
8
3
23
3
4
6
3
4
50
3
2
2
3
2
1
1
1
1
2
1
1 1
6
3 0
9
1
1 1
2
3 0
4
3
2
2
3
1
1
2
2
7
1
1
7
1
1
2
1 9
8
9
7
3
6
8
4
7
2
5
1
1
3
2
3
2 9
7
1 5
4
29
4
6
8
4
5
60
4
2
3
3
2
1
1
1
1
3
1
1 5
8
30
1 1
1
1 3
3
30
8
3
2
3
3
1
1
3
2
8
1
1
8
1
1
5
2 6
9
1 7
8
3
7
1 7
8
9
3
7
1
1
4
2
4
3 1
1 1
23
4
3 1
5
8
8
4
6
70
5
3
4
3
3
2
1
1
1
3
1
1 7
9
3 0
1 6
1
16
5
3 0
1 0
4
3
3
3
2
1
o
3
3
9
1
1
9
1
1
7
3 0
1 5
3 1
8
3
8
1 9
1 1
17
3
8
1
3
5
3
5
4 1
1 5
3 1
5
4 1
7
1 4
9
5
7
80
6
6
6
4
3
3
1
2
1
3
1
1 9
27
30
2 9
2
1 9
8
30
1 7
6
4
4
4
2
2
0
3
3
1 1
2
S
2
11
2
2
10
36
30
27
15
4
1 5
2 9
18
21
4
10
2
2
6
5
8
4 8
2 4
4 8
8
4 8
1 1
2 3
9
5
8
90
1 1
9
9
5
4
5
5
3
2
4
2
3 4
3 4
6 1
3 8
2
3 4
2 7
6 1
32
1 3
6
6
5
2
4
4
4
1 2
1 5
2
1 5
1 2
1 5
2
1 5
3 8
2 4
34
1 9
1 7
1 8
36
2 1
39
6
1 2
6
3
8
7
1 5
b 8
69
7 8
1 1
88
2 1
4 8
1 0
7
9
-------
TABLE 5. CHLORIDES—URBAN STATIONS
87
STATION LOCATION
EAST CHICAGO 1 N 0
CINCINNATI OHIO
MINNEAPOLIS MINN
KANSAS CITY MO
ST LOUIS MO
NEW ORLEANS LA
FT WORTH TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
DENVER COL
SALT LAKE CITY UTAH
ANCHORAGE ALASKA
LOS ANGELES CALIF
SAN FRANCISCO CALIF
PASADENA CALIF
BERKELEY CALIF
SA.N JOSE CALIF
SAN LEANDRO CALIF
PORTLAND OREGON
SITE
1
2
3
4
1
1
1
1
2
4
1
1
2
1
1
1
1
1
1
1
1
1
1
Z'
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
S
4
YEARS
55 56
55 56
5 b 56
55 56
5 :.
5 6
55 56
5 4
5 L-
54 55
54 55
55 56
55 56
55 56
55 56
54 55
54 55
54 55
5 4
5 5
54 55
5 4
5 5
54 55
5 4
5 a
54 55
54 55
54 55
54 55
5 4
55 56
5 4
5 3
5 6
54 56
54 55
5 4
5 5
56
54 56
55 56
5 4
5 5
54 55
54
5 4
54
5 4
55
54 55
No. OF
SAMPLES
1 9
2 6
2 1
2 0
6 7
1 9
B 6
3 6
2 7
6 3
2 1
1 B
9
2 7
2 5
2 3
2 2
4 5
1 2
1 6
2 8
1 4
5 6
7 0
1 7
3 4
4 1
2 6
2 6
2 6
3
3 2
1 5
3 5
4
5 4
2 8
2 0
1 2
2 0
5 2
3 0
1 1
19
3 0
1 0
1 0
1 0
4 1
1 9
6 0
IMICROGRAMS PER CUBIC METER) x 10"'
MIN
2
1
1
1
1
1
1
4
2
3
1
1
1
2
1
2
1
1
1
1
1 0
3
2
2
6
2
3
1
1
1
3
1
3
6
1
MAX
2 2
5 0
3 2
3 5
5 0
3 2
5 0
7 2
3 9
7 2
2 0
1 B
2
1 8
2 3
3 9
2 9
3 9
1 0
8
1 0
1 5
3 1
3 1
1 5
1 9
19
1 3
3 3
2 3
7 3
432
3 0
1 1
'9
3 0
7 6
2 8
1 5
16
2 8
2 9
3 7
1 0
3 7
4 3
2 4
4 1
4 3
1 0
4 3
AVG
9
1 1
6
8
9
7
9
2 0
9
1 5
3
4
1
3
5
9
5
7
4
2
3
8
a
B
5
7
6
4
4
4
31
8 7
1 1
2
5
5
2 2
9
5
4
6
9
1 4
3
7
1 9
1 1
2 4
1 7
3
1 3
FREQUENCY DISTRIBUTION— PERCENT
10
2
3
1
1
2
1
1
5
1
2
1
2
2
1
2
1
1
1
2
2
2
1
1
1
1
1
5
4
9
3
2
1
2
3
1
3
6
3
1
20
5
4
1
2
3
1
2
7
1
4
2
1
2
3
1
2
1
1
1
5
3
3
2
3
2
2
1
1
10
a
4
i
2
1
11
4
3
1
2
3
3
1
1
4
5
7
6
1
2
30
6
5
2
3
4
2
4
1 0
2
6
1
2
1
1
3
4
2
3
3
2
2
6
4
4
3
3
3
3
1
2
1 0
2 6
5
1
2
1
1 2
5
3
1
3
4
6
1
2
9
5
9
7
1
5
4O
7
6
2
4
5
2
5
1 4
4
9
1
3
1
2
3
5
3
3
3
2
2
7
5
6
4
4
4
3
2
2
10
56
6
1
3
2
17
5
4
2
4
5
7
2
3
10
8
1 9
9
2
6
SO
B
7
4
S
6
4
6
1 6
6
1 3
1
3
1
2
3
7
3
5
3
2
2
8
7
7
5
5
5
4
2
3
1 1
78
1 0
2
3
3
1 9
7
4
4
5
7
9
3
5
1 1
9
2 1
1 1
3
8
60
8
1 1
S
6
7
5
7
1 8
8
1 5
2
4
1
3
4
9
4
6
4
2
3
8
8
8
5
7
6
4
3
4
1 1
94
1 0
2
3
4
2 1
9
5
4
5
8
1 1
3
6
2 1
1 1
3 0
1 9
3
9
70
1 1
1 2
6
7
1 0
7
9
2 1
1 4
1 7
2
5
1
3
5
1 0
5
8
4
2
4
9
1 0
1 0
6
9
8
5
3
4
1 1
118
1 3
3
8
6
2 5
1 1
5
5
7
1 1
17
5
7
24
1 3
3 4
2 3
5
1 5
80
15
1 6
7
1 3
15
1 3
1 4
32
16
21
4
6
1
5
7
12
7
10
5
3
4
1 1
11
1 1
7
1 1
10
6
5
7
1 1
131
1 9
5
a
9
27
1 3
6
7
10
14
30
6
9
38
1 5
3 8
32
6
23
90
2 1
1 9
1 1
1 7
2 0
1 5
1 9
3 8
1 9
3 7
1 0
9
2
6
9
1 5
8
1 4
6
4
6
1 3
1 6
1 5
1 0
1 8
1 5
7
9
1 0
7 8
141
2 4
8
9
1 1
3 4
1 5
1 1
9
1 4
1 6
3 4
9
1 7
4 1
2 3
4 1
3 8
9
3 5
-------
TABLE 5. CHLORIDES—URBAN STATIONS—TOTALS
STATE OR REGION
CONNECTICUT TOTAL
MASSACHUSETS TOTAL
NEW JERSEY TOTAL
NEW YORK TOTAL
PENNSYLVANIA TOTAL
DIS COLUMBIA TOTAL
KENTUCKY TOTAL
WEST VIRGIN A TOTAL
FLORIDA TOTAL
GEORGIA TOTAL
TENNESSEE TOTAL
ILLINOIS TOTAL
INDIANA TOTAL
OHIO TOTAL
MINNESOTA TOTAL
MISSOURI TOTAL
LOUISIANA TOTAL
TEXAS TOTAL
COLORADO TOTAL
UTAH TOTAL
ALASKA TOTAL
CALIFORNIA TOTAL
OREGON TOTAL
NEW ENGLND TOTAL
MID ATLNTC TOTAL
MID EAST TOTAL
SOUTH EAST TOTAL
MID WEST TOTAL
CRT PLAINS TOTAL
GULF SOUTH TOTAL
ROCKY MNTN TOTAL
PAC COAST TOTAL
GRAND TOTAL
YEARS
55 56
5 5
55 56
54 56
54 56
54 56
54 55
5 5
5 5
55 56
55 56
54 56
55 56
54 55
54 55
55 56
54 55
54 55
54 55
54 55
54 55
54 56
54 55
55 56
54 56
54 56
55 56
54 56
54 56
54 55
54 55
54 56
54 56
No. OF
SAMPLES
3 6
4 9
130
6 0
465
3 6
6 2
1 6
2 1
1 6
3 2
137
8 6
6 3
3 1
5 2
4 5
139
2 6
2 6
3 7
199
6 0
8 5
655
114
6 9
286
7 3
184
5 2
296
1814
(MICROGRAMS PER CUBIC METER) x 10'
MIN
1
1
1
1
1
1
1
MAX
1 3
3 4
1 6
9 2
3 0
Z 0
5 0
1 7
2 1
3 5
1 9
215
5 0
7 2
2 0
2 3
3 9
3 1
1 3
3 3
2 3
432
4 3
3 4
9 2
5 0
3 5
215
2 3
3 9
3 3
432
432
AVG
4
3
1
1 2
3
5
1 2
3
6
3
3
1 5
9
1 5
3
4
7
6
4
4
3
2 2
1 3
3
3
8
4
1 3
3
7
4
1 8
8
FREQUENCY DISTRIBUTION— PERCENT
10
1
1
1
2
1
1
2
1
2
1
1
1
1
1
1
1
1
1
20
1
1
1
1
2
1
2
1
2
2
4
1
2
2
2
1
2
2
1
1
1
1
2
1
2
1
' 2
1
30
1
1
2
1
1
3
2
3
1
1
3
4
6
1
2
3
3
3
1
1
4
5
1
1
2
1
4
1
3
2
3
2
40
2
2
1
3
2
1
5
2
3
1
1
4
5
9
1
2
3
4
3
2
1
5
6
2
1
3
2
5
2
4
2
5
2
50
2
2
1
4
2
2
7
2
5
1
2
5
6
1 3
1
3
5
5
4
2
2
7
8
2
2
4
2
6
2
5
3
6
3
60
3
3
1
8
2
5
9
3
7
1
2
7
7
1 5
2
3
6
6
4
3
3
1 0
9
3
2
7
3
8
3
6
3
9
4
70
4
3
1
1 0
3
7
1 7
3
8
1
3
1 0
9
1 7
2
4
8
8
5
3
3
1 3
1 5
3
3
1 0
4
1 3
4
8
4
1 2
6
80
6
4
2
1 7
4
10
-21
4
10
2
5
16
1 4
2 1
4
6
1 0
1 0
6
5
6
2 2
2 3
4
4
1 7
7
1 7
5
1 0
6
20
9
90
9
4
3
3 2
6
1 S
2 9
6
1 2
6
7
4 1
1 9
37
1 0
8
1 4
1 4
7
9
9
5 9
3 5
8
6
2 4
1 0
3 2
9
1 4
9
3 5
1 7
-------
TABLE 5. CHLORIDES—SUBURBAN AND NONURBAN STATIONS
89
STATION LOCATION
SUBURBAN
MIDDLESEX CNTY MASS
LAKEHURST N J
KANAWHA CO W V A
HAMILTON COUNTY OHIO
DENVER COUNTY COLO
MULTNOMAH CNTY ORE
GRAND TOTAL
NONURBAN
PT WORONZOF ALASKA
SITE
1
1
1
1
1
1
1
YEARS
5 5
55 56
5 5
54 55
54 55
5 4
54 56
55 5 5
No. OF
SAMPLES
2 3
1 9
1 7
2 1
1 0
1 0
100
1 2
(MICROGRAMS PER CUBIC METER) x 10"'
MIN
1
1
1
1
MAX
7
7
4
2 2
-7
1 0
2 2
-i
AVG
2
2
2
4
1
4
2
RtfOUENCY DISTRIBUTION— PERCENT
10
1
1
20
1
1
1
1
1
30
1
1
1
2
1
1
1
40
2
1
',
c
1
2
1
50
2
2
2
3
1
3
2
60
2
2
2
3
2
^
2
1
70
2
3
3
^
3
C
3
1
80
3
3
3
^
2
6
3
1
90
4
4
4
6
3
7
5
1
-------
90
TABLE 5. CHLORIDES—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10-'
STATION LOCATION
•ATERBURY CONN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
BOSTON MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M I) M
EVERETT MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
ELIZABETH N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
PAULSBORO N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
CAMDEN N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
PERTH AMBOY N J
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
TRENTON N J
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
JERSEY CITY N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
N E » YORK N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
PHILADELPHIA PA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
ALTOONA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
BRISTOL PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
CHESTER PA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
M 1. N 1 MUM
ERIE PA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
PITTSBURGH PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
YEARS
55 56
55
55
55 56
55 56
55 56
55 56
55 56
55 56
54 56
54 56
56
55 56
55 56
56
56
JAN
3
4
3
2
1
5
5
5
3
3
2
2
3
6
3
2
2
1
1
1
a
i
i
i
3
3
3
2
2
2
1
1
1
3
57
24
a
14
12
4
1
3
6
3
1
3
3
2
2
FEB
2
a
4
1
2
6
5
4
3
4
3
3
2
4
1
1
1
3
3
1
1
1
2
4
2
1
3
1
1
1
4
38
i a
2
2 4
22
3
1
6
6
6
1
1
4
4
4
1
3
3
2
2
MAR
4
a
4
1
4
3
1
3
1
1
1
3
1
3
1 6
7
1
3
7
3
1
4
2
1
1
1
3
3
3
4
3
1
1
1
2
2
2
28
5
a
1
5
5
5
1
2
2
1
1
3
4
3
3
APR
5
11
5
3
1
3
3
3
1
1
1
1
5
3
1
5
1 1
3
1
2
4
3
2
5
4
1
1
6
6
6
4
8
2
1
4
4
2
1
25
8
2
1
2
3
3
3
1
2
1
1
1
3
2
1
MAY
3
6
3
1
1
2
2
2
2
4
3
2
1
1
1
1
3
1
1
1
3
3
3
16
5
2
3
4
3
3
2
2
1
1
2
1
2
2
2
2
JUNE
3
3
2
1
2
4
2
1
3
4
2
1
1
1
1
1
1
1
1
1
1
2
1
9
28
8
1
22
6
1
2
2
1
1
2
2
2
3
1 1
4
1
JULY
3
1
1
1
2
2
2
2
3
4
2
2
1
1
1
1
4
1
1
1
1
1
1
1
1
2
3
2
1
2
2
1
7
31
8
1
30
30
3
2
3
2
2
2
1
7
7
7
2
3
2
1
AUG
4
S
3
1
4
4
3
1
2
2
2
2
2
3
1
1
3
3
3
2
1
2
1
2
2
2
2
5
43
ia
i
30
17
3
1
3
3
3
1
2
2
2
3
9
3
SEPT
1
2
2
2
1
3
3
3
S
3
2
2
1
5
5
5
3
3
1
1
6
3 3
14
5
3 1
1 4
4
1
2
4
2
1
4
3
1
4
5
1
3
1
2
3
3
3
OCT
4
13
4
1
2
5
4
4
1
34
34
34
2
2
1
1
2
2
1
2
1
1
3
3
3
6
17
10
1
35
1 1
3
2
3
3
3
2
1
1
1
1
1
4
2
1
1
2
3
3
1
NOV
3
13
5
1
2
4
3
3
1
12
12
12
1
2
2
2
3
1
3
3
3
1
7
6
3
1
44
18
3
1
2
2
2
2
3
1
2
2
2
2
2
4
3
2
DEC
2
1 3
1 1
9
1
4
4
4
2
3
2
1
2
5
4
3
1
1
1
1
2
2
1
1
2
3
4
3
2
2
1
1
1
7
92
28
1
48
22
4
2
1
2
2
2
3
2
1
1
1
3
3
3
-------
TABLE 5. CHLORIDES—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x lfr<
91
STATION LOCATION
W 1 LL 1 A MSP OR T PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
WASHINGTON OC
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
LOUISVILLE KY
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MU M
CHARLESTON W VA
N'UMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
TAMPA FLA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
ATLANTA GA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
CHATTANOOGA TENN
NUMBER OF SAMPLES
U A X 1 MUM
AVERAGE
MINIMUM
CHICAGO ILL
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 MUM
EAST ST LOUIS ILL
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
EAST CHICAGO INO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CINCINNATI OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
MINNEAPOLIS MINN
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MUM
KANSAS CITY MO
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MU M
ST LOUIS MO
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
NEW ORLEANS 1'.
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
FT WORTH TEXAS
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
YEARS
55 56
54 56
54 55
55
55
55 56
55 56
54 55
55 56
55 56
54 55
54 55
55 56
55 56
54 55
54 55
JAN
1
1
1
1
2
2 0
1 9
18
2
2 1
15
10
1
1
1
1
1
5
5
5
4
78
27
2
4
8
5
2
6
32
8
1
3
16
7
3
1
1
1
1
4
9
4
2
2
4
3
3
2
S
4
3
2
8
5
3
FEB
3
4
3
2
5
20
11
1
3
1 9
15
1 0
1
4
4
4
1
8
8
8
1
5
10
3
7
134
59
4
3
5
3
2
5
6
3
1
3
39
23
15
1
2
6
5
5
2
10
9
9
3
1 1
6
3
3
2
a
2
MAR
1
3
3
3
1
2 9
29
a 9
1
3
3
3
1
1 0
1 0
1 0
3
a
i
3
4
3
3
6
46
i a
a
a
1 1
7
4
1 4
2 a
1 0
1
3
13
9
6
1
1
1
1
3
9
5
4
3
1 9
1 0
5
3
4
3
a
APR
a
5
5
5
1
1
1
1
1
20
20
2O
3
13
6
3
a
i
2
1
3
4
a
i
a
9
8
7
7
35
15
4
2
14
9
4
1
1
1
1
3
3
2
1
3
7
4
2
4
39
17
5
a
6
4
2
MAY
3
3
3
2
3
1
1
1
1
2
a
2
2
6
4
3
a
13
9
7
1
35
35
35
a
3
2
a
a
20
6
3
3
15
9
3
4
33
20
7
a
5
3
3
3
3
1
3
5
3
a
4
9
4
3
a
3
a
a
JUNE
3
3
3
1
5
5
3
1
3
48
17
1
3
3
1
1
1
3
3
3
1
13
15
4
2
3
5
3
2
6
50
16
5
5
18
10
3
•z
1
3
3
1
3
3 3
12
3
4
5
3
1
3
3
2
2
JULY
1
3
3
3
4
7
3
1
1 3
30
9
a
3
1
2
7
6
5
3
3
1
1
4
4
4
14
4 3
7
1
1
9
9
9
1 0
16
7
3
8
1 0
6
3
2
2
1
a
4
3
3
6
29
9
2
2
3
2
2
AUG
1
a
a
3
7
1 2
5
1
1 3
50
1 3
1
3
3
3
2
4
3
a
i
4
a
i
9
15
6
1
4
7
5
4
5
7
4
1
9
22
9
5
20
6
4
4
a
i
3
5
4
4
4
1 5
6
2
a
10
s
6
SEPT
3
a
i
i
6
19
9
1
i a
17
s
i
a
a
2
3
3
2
1
4
6
3
1
a
31
16
1
3
9
4
2
7
1 2
4
2
1 2
3 3
17
2
4
6
3
2
1
1
1
1
1
8
8
8
4
10
5
1
a
4
4
4
OCT
3
5
4
4
3
1 1
7
3
6
18
1 1
3
3
10
5
a
i
8
8
8
1
9
9
9
5
8
3
a
16
88
ai
a
i
i
i
i
6
1 3
7
4
8
45
24
7
3
10
5
1
1
a
4
3
3
3
13
6
3
3
4
2
1
NOV
3
3
1
1
1
1
1
1
1
IS
IS
IS
2
3
3
3
2
3
3
3
1
6
«
6
3
3
2
1
13
50
10
1
2
S
4
4
8
7
4
3
3
20
13
1
3
3
1
1
6
6
6
3
4
3
2
5
IS
6
1
a
4
3
3
DEC
2
3
2
3
6
32
19
6
1
1 7
17
17
1
10
10
10
1
1
1
1
2
19
10
1
8
215
60
3
3
11
8
5
8
32
8
3
6
72
40
1
1
2
2
3
1
18
1 8
18
2
7
5
3
3
9
8
7
3
5
3
1
-------
92
TABLE 5. CHLORIDES—URBAN AND SUBURBAN STATIONS
(MICROGRAMS PER CUBIC METER) x Ifr'
STATION LOCATION
HOUSTON TEXAS
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
MINIMUM
BELLAIRE TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 U U M
DENVER COL
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
SALT LAKE CITY UTAH
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
ANCHORAGE ALASKA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
SAN FRANCISCO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
PASADENA CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
BER-KELEY CALIF
NUMBER OF SAMPLES
MAX! MUM
AVERAGE
Ml N 1 MU M
SAN JOSE CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
SAN LEANORO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
SUBURBAN
MIDDLESEX CNTY MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LAKEHURST N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
KANAWHA CO W VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
HAMILTON COUNTY OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DENVER COUNTY COLO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
54 55
54 55
54 55
54 55
54 55
55 56
54 56
54 55
54 56
55 56
5 5
55 56
5 5
54 55
54 55
JAN
3
9
4
2
2
9
6
4
3
5
1
1
9
9
9
3
433
309
3
5
11
6
2
3
1 0
a
6
4
6
4
3
3
1 5
7
2
2
3
2
2
2
4
3
2
1
1
1
i
FEB
5
23
9
3
2
5
3
2
2
4
2
2
3 3
21,
10
2
3
2
1
2
9 3
6 3
33
6
9
4
3
20
1 7
1 3
6
15
6
2
1
3
3
3
1
3
3
3
1
4
4
4
3
3
2
2
1
6
6
6
1
MAR
6
1 2
8
2
3
7
5
4
2
7
6
6
2
5
3
1
2
1
1
1
2
116
87
59
5
1 0
3
2
5
4
3
2
1 4
7
1
2
2
1
1
3
3
1
2
4
3
3
1
1
1
1
APR
4
22
14
7
2
19
14
9
2
5
4
3
2
3
2
2
2
4
2
1
1
130
130
130
4
5
2
1
5
5
5
3
1
1
3
3
3
MAY
S
10
5
1
3
1 5
7
4
2
2
1
1
2
3
1
3
98
55
10
4
3
3
10
4
1
1
17
17
17
1
1
1
1
2
2
4
4
4
JUNE
13
12
6
3
3
18
11
4
5
5
2
2
2
3
2
2
5
6
4
3
3
141
136
131
9
8
4
1
11
11
1 1
4
28
1 3
4
3
16
1 1
6
3
2
1
1
1
5
5
5
1
1
1
1
JULY
7
9
6
3
4
8
4
2
2
4
3
3
2
9
5
1
1
3
3
3
5
13'0
58
6
e
18
6
3
3
59
46
30
5
9
3
1
4
15
9
3
2
4
3
2
1
3
3
3
3
4
2
2
3
3
2
1
1
AUG
3
10
S
3
7
19
S
2
6
S
4
3
2
3
3
3
2 3
9
2
2
78
68
58
3
6
4
4
3
26
3 1
16
S
24
8
3
4
36
12
4
3
4
3
2
1
2
2
2
4
8
3
1
SEPT
6
31
12
5
5
16
8
4
2
4
4
4
3
2
2
2
3
4
3
2
3
25
1 6
5
4
3 2
6
3
30
19
18
6
10
6
1
1
1 3
1 3
1 3
3
3
2
1
8
1
4
3
1
1
2
2
1
1
OCT
6
1 1
9
7
4
15
10
6
8
S
4
3
2
4
2
3
1 1
6
1
3
130
106
84
6
30
13
4
3 3
25
19
4
14
8
a
3
29
1 4
6
1
5
5
5
1
7
7
7
2
1
1
1
4
4
3
3
2
3
2
2
NOV
9
19
9
3
2
2
1
1
1
6
6
6
3
3
3
3
1
1
1
1
5
260
96
5
5
76
28
6
7
13
6
4
7
11
7
3
2
7
5
3
2
3
2
1
1
1
1
1
3
4
3
3
1
3
3
3
DEC
7
1 S
8
2
3
6
4
1
2
13
10
7
3
10
6
3
3
12
7
1
1
8
8
8
4
33
16
9
6
1 5
6
3
1
1
1
1
3
2
2
2
1
3
3
3
1
2
2
2
2
22
13
5
1
-------
TABLE 6. FLUORIDES—URBAN STATIONS
93
STATION LOCATION
N E « YORK N Y
WASHINGTON DC
CHICAGO ILL
CINCINNATI OHIO
HOUSTON TEXAS
ANCHORAGE ALASKA
P A S fl 0 E N A CALIF
BERKELEY CALIF
SAN JOSE CALIF
PORTLAND OREGON
SITE
2
2
1
1
1
1
1
1
1
2
4
5
YEARS
54 55
54 55
54 55
54 55
5
-------
94
TABLE 6. FLUORIDES—URBAN STATIONS—TOTALS
STATE OR REGION
NEW JERSEY TOTAL
NEW YORK TOTAL
DIS COLUMBIA TOTAL
ILLINOIS TOTAL
OHIO TOTAL
TEXAS TOTAL
ALASKA TOTAL
CALIFORNIA TOTAL
OREGON TOTAL
MID ATLNTC TOTAL
MIO EAST TOTAL
MID WEST TOTAL
GULF SOUTH TOTAL
PAC COAST TOTAL
GRAND TOTAL
YEARS
5 5
54 55
54 55
54 55
54 55
5 4
54 55
54 55
5 4
54 55
54 55
54 55
54
54 55
54 55
No. OF
SAMPLES
1 0
2 1
1 9
3 1
4 0
7
1 2
7 4
4 0
3 1
1 9
7 1
7
126
257
(MICROGRAMS PER CUBIC METER) x 1C)-2
MIN
MAX
7 0
160
110
392
211
4 3
S 8
140
406
160
110
392
4 3
406
406
AVG
3 9
5 7
4 5
123
3 5
1 7
q
3 3
9 3
5 1
4 5
7 4
1 7
4 9
5 4
FREQUENCY DISTRIBUTION — PERCENT
10
1
1 2
1 1
1
7
12
1 1
1
1
20
19
2 4
2 3
3 4
1
1
2 4
2 0
2 3
8
1
-]
30
20
3 4
30
58
1 0
1
1
8
3 9
27
3 0
2 3
1
1 0
1 4
40
2 1
4 3
36
78
19
1
1
1 2
4 3
38
36
28
1
18
2 4
50
3 4
5 4
4 1
97
2 6
1 5
1
2 0
7 2
52
4 1
3 8
1 5
2 8
3 3
60
5 4
6 1
4 3
141
29
1 5
1
30
9 4
5 7
4 3
6 1
1 5
3 9
4 3
70
5 6
7 4
5 4
155
3 3
3 4
3
3 8
111
6 1
5 4
9 5
34
6 4
6 5
80
5 9
8 8
6 5
179
4 3
3 8
15
6 9
159
7 5
6 5
125
3 8
8 6
9 0
90
6 1
9 9
7 8
335
105
3 8
2 1
8 7
190
9 4
7 8
179
3 8
133
141
-------
TABLE 6. FLUORIDES—SUBURBAN STATIONS
95
STATION LOCATION
HAMILTON COUNTY OHIO
MULTNOMAH CNTY ORE
GRAND TOTAL
SITE
1
1
YEARS
5« 55
5 4
54 55
No. OF
SAMPLES
<2 2
1 0
3 4
(MICROGRAMS PER CUBIC METER) x 1CH
MIN
MAX
6 0
174
174
AVG
3 2
4 1
2 7
FREQUENCY DISTRIBUTION — PERCENT
10
20
1
1
1
30
1
1
1
40
1 0
6
1 0
50
1 5
1 1
1 5
60
3 0
1 7
2 7
70
3 4
4 3
4 0
80
4 6
8 8
4 8
90
5 2
9 9
6 1
-------
96
TABLE 6. FLUORIDES—URBAN AND SUBURBAN STATIONS
(MICROGRAMS PER CUBIC METER) x lfr!
STATION LOCATION
NEW YORK N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
WASHINGTON UC
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
CHICAGO ILL
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
CINCINNATI OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
ANCHORAGE ALASKA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
PASADENA CALIF
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
BERKELEY CALIF
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
SAN JOSE CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SUBURBAN
HAMILTON COUNTY OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
54 b 5
54 55
54 55
54 55
54 55
54 55
54 55
54 55
54 55
JAN
2
9 0
U 1
6 6
2
160
155
150
1
4 2
4 2
4 2
1
2 0
2 0
2 0
2
1 0
8
7
3
3 2
1 7
1 0
3
U 4
4 2
2 1
FEB
1
4 7
4 7
4 7
3
110
4 6
4
330
182
7 6
3
5 0
3 4
2 2
1
6
6
6
3
1
3
2 2
1 3
4
1 9
1 0
1
1 0
1 0
10
MAR
APR
1
2 8
28
2 8
MAY
JUNE
2
5 5
39
2 4
3
8 0
65
4 8
1
4 3
4 3
4 3
3
29
9
1
3
2
8 8
4 4
1
9 5
9 5
9 5
JULY
3
7 3
6 5
5 2
3
5 0
37
2 4
5
6 5
3 1
6
6 3
1 3
4
8 0
5 4
3 4
3
3 3
2 7
1 9
1
8 0
8 0
8 0
4
5 1
3 2
AUG
1
59
5 9
5 9
4
7 S
5 0
3 2
3
6 1
2 4
6
3 9
2 7
1
2
2
8 7
6 0
3 4
1
1 4
1 4
1 4
4
6 0
4 3
2 8
SEPT
4
3 7
2 0
4
6 7
4 3
2 1
4
9 7
8 0
3 9
1 0
105
2 4
3
3
1
2
37
3 2
2 7
3
2 0
6
3
5 7
2 7
4
4
5 2
3 3
OCT
3
160
7 4
1 3
2
2 4
1 7
1 0
6
359
166
9 0
5
120
4 0
8
2
4
3 0
1 0
4
3
100
7 0
4 5
4
1
NOV
3
9 5
5 3
27
3
392
231
147
1
5
8 4
32
5
130
7 a
36
3
24
1 1
DEC
2
1 0 y
9 4
7 9
"5
348
1 6 o
2 7
4
211
131
9 5
2
2b
2 1
1 4
4
4 9
2 U
b
3
140
6 2
1 7
2
1 4
7
-------
TABLE 7. NITRATES—URBAN STATIONS
97
STATION LOCATION
WATERBURY CONN
BOSTON MASS
EVERETT MASS
MANCHESTER N H
ELIZABETH N J
PAULSBORO N J
CAMDEN N J
PERTH AMBOY N J
TRENTON N J
JERSEY CITY N J
NEW YORK N Y
BUFFALO N f
PHILADELPHIA PA
ALTOONA PA
BRISTOL PA
CHESTER PA
ERIE PA
PITTSBURGH PA
WILLIAMSPORT PA
WASHINGTON DC
LOUISVILLE KY
BALTIMORE MD
CHARLOTTE NC
SITE
1
1
1
1
1
1
1
1
1
1
^
3
2
2
3
3
1
3
1
1
1
1
4
4
4
5
6
7
1
1
1
1
1
1
1
2
1
1
1
2
2
3
4
1
1
YEARS
55 56
55 57
5 5
5 7
55 56
55 56
55 56
55 56
55 56
55 56
5 7
54
5 5
56
54 56
54 55
5 4
5 5
56
57
54 57
5 7
57
57
54
5 5
5 6
54 56
5 6
57
56 57
56
5 6
56
54
5 5
56
57
54 57
5 6
55 56
55 56
56
5 6
55 56
54
5 b 56
54 56
54
5 5
54 55
54
5 u:
54 55
57
54
5 t,
5 7
54 57
57
57
No. OF
SAMPLES
3 6
2 5
26
1 7
2 1
3 5
2 1
2 3
1 7
2 3
5
1 8
3 1
3
4 2
1 8
1 9
3 8
3
5
6 5
6
1 3
1 9
6 5
281
1 5
361
1 4
2
1 6
1 4
1 5
1 4
6 5
281
7 2
2
430
1 3
1 8
1 8
2 5
2 1
2 3
1 6
2 0
3 6
1 7
2 1
3 8
1 3
1 0
2 3
2
3 1
3 1
2
6 4
1 9
2 5
(MICROGRAMS PER CUBIC METER) x la1
MIN
2
1
1
4
2
3
2
3
5
3
1 1
1 0
1
2
1
1
1 0
1
3
1 1
1
7
4
4
3
4
1
1 0
1
1
1
1
3
1
1 0
4
4
3
2
3
3
7
1
1
8
9
8
4
3
3
7
4
3
7
3
1 3
5
MAX
2 0
3 8
1 5
3 5
4 8
6 9
6 6
4 9
4 6
6 7
X T
74
4 7
1 5
7 4
1 4
7 4
4 7
1 S
4 3
7 4
3 5
3 5
3 5
7 0
8 3
4 4
8 3
2 6
1 9
2 6
4 3
7 2
4 3
7 0
8 3
7 2
19
8 3
1 6
1 2
2 0
1 4
2 9
39
7 7
9 3
9 3
37
4 7
4 7
2 7
3 0
3 0
1 5
37
4 7
1 5
4 7
4 2
3 7
AVG
6
7
6
1 3
7
1 1
1 1
9
1 4
1 4
3 0
1 4
7
2 0
5
3 9
1 0
7
2 1
1 6
3 0
1 9
1 9
3 3
1 9
1 8
1 9
1 1
1 4
1 1
1 7
1 5
1 6
2 2
1 9
1 5
1 4
1 9
7
7
1 0
6
7
1 0
3 3
1 7
2 4
1 7
3 3
3 0
1 2
1 3
1 2
1 1
1 5
2 0
1 1
1 7
2 4
1 4
FREQUENCY DISTRIBUTION— PERCENT
10
3
1
3
4
3
3
4
3
5
4
17
2
4
1
1 5
1
1 1
1
7
4
4
8
8
5
7
1
2
1
2
1
8
8
1
6
4
5
3
3
3
4
1 4
4
6
9
1 3
9
4
3
4
7
7
7
14
7
20
3
2
2
6
3
4
4
4
6
4
2 1
5
2
6
1
1 9
2
2
1 1
4
7
7
7
1 0
10
6
10
4
4
3
2
2
10
10
3
9
4
6
6
5
4
7
1 5
6
7
9
1 4
1 4
7
6
7
8
1 0
9
16
8
30
4
4
4
7
3
4
5
4
7
5
2 2
6
2
1 0
1
2 2
4
2
1 2
6
7
7
7
1 2
1 2
7
1 2
5
1 0
7
8
3
4
1 2
1 2
6
1 0
1 1
5
6
7
5
4
8
3 1
7
9
1 3
1 6
1 5
7
7
7
7
9
1 4
7
1 1
1 8
1 1
40
5
4
5
8
4
5
5
4
7
8
1 3
24
8
2
1 5
2
34
5
2
12
9
7
17
17
14
14
12
1 4
8
10
8
1 1
8
7
14
1 4
10
10
14
5
7
7
6
5
8
3 2
8
10
16
17
17
8
9
9
7
1 1
1 6
7
14
2 1
1 1
50
6
5
5
9
5
5
6
5
1 3
1 0
1 9
2 6
1 2
5
1 8
4
3 6
7
5
1 9
1 3
1 5
2 0
3 0
2 0
1 7
1 7
17
1 0
1 0
1 0
1 2
1 2
1 1
2 0
17
1 1
1 0
1 6
7
7
8
6
5
1 0
3 1
9
1 5
1 8
3 1
1 8
1 1
1 0
1 1
7
1 4
1 8
7
1 6
2 4
1 4
60
6
6
6
1 0
6
6
6
8
1 4
1 1
1 9
28
1 5
5
2 1
5
2 7
9
5
1 9
1 6
3 5
21
3 1
2 2
1 9
23
30
1 0
1 0
1 1
21
1 4
1 2
2 2
1 9
1 5
1 0
1 9
7
8
1 0
7
6
1 1
39
9
3 1
1 8
2 4
3 1
1 2
1 2
1 2
7
1 6
20
7
1 8
2 5
1 5
70
7
7
8
1 1
7
8
7
9
1 8
1 3
2 5
3 2
1 7
5
2 5
7
3 0
1 3
5
2 5
2 1
2 5
3 2
2 5
2 5
2 2
3 5
3 2
1 2
1 0
1 2
3 5
1 7
1 9
2 5
2 2
2 0
1 0
23
7
8
1 3
7
7
1 2
4 1
1 2
3 1
19
2 8
2 3
1 3
1 8
1 4
7
1 8
2 4
7
2 0
2 9
1 8
80
8
10
10
2 4
8
9
8
9
21
16
2 5
3 4
1 9
5
30
9
3 4
15
5
2 5
26
32
33
33
31
26
37
37
17
1 9
1 9
38
3 0
28
31
2 6
2 5
1 9
2 6
8
8
1 3
8
9
1 3
4 6
1 9
4 3
3 3
3 4
2 5
1 4
1 8
1 8
1 5
2 2
3 2
1 5
24
3 2
20
90
9
1 3
1 1
2 5
9
1 7
1 2
1 2
2 2
2 3
4 6
4 6
3 8
1 5
3 6
1 3
4 6
1 9
1 5
4 6
3 5
3 3
3 5
3 4
3 9
3 1
4 1
3 3
2 5
1 9
2 2
3 6
2 2
4 1
3 9
3 1
3 6
1 9
3 2
1 3
9
1 7
10
1 2
1 7
5 2
i 6
4 9
2 4
3 6
3 5
2 5
1 9
2 5
1 5
3 4
3 5
1 5
3 3
3 6
2 2
-------
98
TABLE 7. NITRATES—URBAN STATIONS
STATION LOCATION
NORFOLK VA
CHARLESTON HI VA
TAMPA FLA
ATLANTA GA
CHATTANOOGA TENN
NASHVILLE TENN
CHICAGO ILL
EAST ST LOUIS ILL
EAST CHICAGO IND
INDIANAPOLIS IND
CINCINNATI OHIO
YOUNGSTOWN OHIO
CLEVELAND OHIO
MILWAUKEE WIS
DES MOINES IOWA
W I. CHITA KANSAS
MINNEAPOLIS MINN
KANSAS CITY MO
ST LOUIS MO
BISMARCK ND
NEW ORLEANS LA
TULSA OKLA
FT WORTH TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
SITE
1
4
1
1
3
4
1
1
2
2
2
4
5
1
2
1
2
3
4
1
1
1
1
1
1
1
1
1
1
2
4
1
1
1
3
3
1
1
1
1
1
3
1
1
1
YEARS
5 7
55 57
55 57
55 56
55 57
55 56
55 57
5 7
5 5
5 4
5 5
54 55
5 5
57
5 4
55
5 7
54 57
55 56
55 56
55 56
55 56
55 56
55 56
55 56
55 56
57
5 4
5 5
54 55
57
5 7
57
57
5 7
54 55
55 56
55 56
55 56
55 56
57
54 55
54 55
5 7
54 57
57
54 55
54
5 5
54 55
57
54 57
5 4
5 b
54 55
No. OF
SAMPLES
2 3
1 7
2 5
1 6
1 6
1 8
3 4
2 3
2 8
2 4
2 5
4 9
2 9
2
2 4
8 2
2
108
1 5
1 4
2 9
1 9
2 6
2 1
2 0
B 6
2 5
3 6
2 7
6 3
2 5
2 6
1 9
2 6
2 5
2 1
1 9
9
2 B
2 5
2 3
2 3
2 2
5
5 0
1 9
2 8
1 5
5 6
7 1
4
7 5
1 7
2 4
4 1
(MICROGRAMS PER CUBIC METER) x 10°
MIN
4
1
^
2
5
5
5
7
5
2 5
4
4
6
6
2 5
4
6
4
5
7
5
4
1 0
5
4
4
1 2
1
4
1
6
5
7
3
7
2
2
1
1
4
5
1 2
8
2
2
a
5
2
2
MAX
112
5 0
3 5
6 0
4 0
3 5
4 0
140
4 6
200
163
200
7 4
1 5
200
163
1 5
200
3 6
2 8
3 6
5 8
6 7
5 9
5 6
6 7
5 5
205
8 1
205
3 6
5 0
6 2
5 2
2 5
3 0
4 3
14
4 3
3 8
1 7
3 8
3 8
2 2
3 8
3 5
2 7
2 7
8 3
8 3
6 7
8 3
2 0
3 0
30
AVG
2 2
1 0
1 "^
J. -J
1 3
1 6
1 7
1 7
3 0
1 5
7 5
3 3
5 3
2 1
1 0
7 5
2 3
1 0
3 4
1 8
1 2
1 5
2 5
2 5
1 7
1 9
2 2
2 4
3 1
1 5
2 4
2 0
2 5
2 2
1 8
1 6
1 1
1 5
6
1 2
1 1
1 0
1 3
1 1
1 8
1 3
1 7
1 0
1 2
2 1
1 9
3 8
2 0
1 0
1 3
1 2
FREQUENCY DISTRIBUTION— PERCENT
10
9
2
2
8
9
8
10
6
28
9
1 0
7
2 8
6
7
5
6
6
10
1 2
7
6
8
1 3
5
4
4
1 1
6
7
6
8
2
5
1
2
5
5
1
1
12
1
10
2
4
9
7
7
5
2
4
20
1 1
2
7
5
10
1 0
10
1 9
8
4 8
10
1 5
9
4 8
9
10
10
7
9
1 4
13
7
9
10
1 4
7
5
5
13
8
10
9
9
2
9
2
5
7
8
3
4
1 2
5
1 1
3
5
10
9
8
9
5
6
6
30
1 3
5
8
6
1 2
1 0
1 1
2 2
5 2
1 3
2 6
1 1
6
52
1 1
6
1 2
1 2
9
1 0
1 6
1 4
8
1 0
1 2
1 6
1 0
6
7
1 6
1 2
1 2
1 1
1 3
6
1 1
4
6
8
1 0
6
7
1 9
6
1 4
4
7
1 1
1 0
8
1 0
8
1 0
9
40
15
6
9
7
1 4
1 1
13
2 3
6 1
1 5
30
1 5
6
6 1
1 3
6
15
13
1 1
12
17
17
8
1 1
15
19
1 4
7
9
17
13
16
1 3
1 4
6
12
5
9
9
10
7
7
19
7
16
5
9
14
12
3 2
12
9
1 3
10
SO
1 6
7
9
1 5
1 3
1 5
2 5
6 5
2 5
4 6
1 7
6
6 5
1 5
6
2 1
1 7
1 1
1 3
1 9
2 1
1 4
1 5
1 7
2 2
1 9
8
1 2
2 0
1 9
1 8
1 4
1 5
8
1 3
5
1 1
1 1
1 1
9
8
2 0
1 1
1 8
9
1 0
1 8
1 7
3 2
1 7
1 0
1 4
1 1
60
1 7
7
1 1
1 6
20
1 6
3 0
7 2
28
56
30
6
72
1 9
6
2 7
1 8
1 2
1 5
2 5
2 5
1 7
1 8
2 1
2 5
2 5
9
1 8
2 1
3 6
1 9
2 1
19
9
1 4
5
1 3
1 2
1 2
1 3
1 1
20
1 3
1 8
1 0
1 2
3 1
1 9
3 2
20
1 0
1 6
1 4
70
19
1 0
1 2
1 7
2 1
2 0
3 2
9 0
3 1
6 5
2 2
6
9 0
2 3
6
3 8
2 7
1 4
17
3 2
2 8
21
2 2
2 6
2 8
3 4
1 1
25
2 5
4 2
2 2
23
2 0
1 2
1 5
7
1 4
1 3
1 2
1 5
1 3
2 1
19
1 9
1 4
1 8
2 4
2 3
5 2
2 4
1 1
1 8
1 6
80
27
12
1 7
1 9
2 2
2 2
3 4
1 Q
j. y
9 5
36
89
28
15
95
30
1 5
5 2
2 8
15
1 9
4 1
36
32
39
31
3 2
4 3
22
35
38
4 4
32
25
21
1 9
32
8
1 5
1 3
1 3
32
1 9
31
2 1
22
1 5
1 9
27
26
52
27
1 2
2 0
1 9
90
3 6
1 9
2 4
2 2
2 7
3 2
3 2
39
2 5
124
92
9 7
4 1
1 5
124
4 4
1 5
8 8
3 4
1 9
2 8
4 6
4 4
32
3 2
4 2
3 9
5 6
3 2
5 4
32
4 6
4 1
2 8
2 3
2 8
2 5
1 2
2 4
1 9
1 4
3 1
2 2
2 2
2 5
2 7
2 2
2 7
32
3 1
6 7
3 6
1 9
2 1
2 1
-------
TABLE 7. NITRATES—URBAN STATIONS
99
STATION LOCATION
DENVER COL
SALT LAKE CITY UTAH
CHEYENNE WYO
ANCHORAGE ALASKA
LOS ANGELES CALIF
SAN FRANCISCO CALIF
PASADENA CALIF
BERKELEY CALIF
SAN JOSE CALIF
SAN LEANDRO CALIF
HONOLULU HAWAII
PORTLAND OREGON
SEATTLE WASH
SITE
1
3
1
1
1
3
1
1
1
2
1
I
1
1
1
1
1
1
1
1
1
1
1
1
8
5
4
1
YEARS
54 55
54 55
57
54 55
5 4
5 7
54 57
5 5
5 6
55 56
5 7
5 5
5 «
57
5 s 57
5 4
5 .
5 ••-,
54 56
54 55
54
5 5
5 6
54 56
55 56
57
5 4
5 i
54 55
54
5 4
54
5 4
5 ',
54 55
5 7
No. OF
SAMPLES
2 6
2 6
3 6
2 6
3
2 1
2 4
1 7
1 5
3 2
3
1 7
1 5
3
3 5
1 5
3 5
4
5 4
2 8
2 0
1 2
2 0
5 2
3 0
2 6
1 1
1 9
3 0
1 0
1 0
1 0
4 1
1 9
6 0
2 0
(MICROGRAMS PER CUBIC METER) x 10"1
MIN
2
5
5
122
1 3
1 3
2
2
2
2
2
2
2
2
4 0
4
2 1
4
2
2
7
8
2
6
3
6
1
1
1 0
2 0
4 3
6
1
1
3
MAX
3 0
110
1 8
3 3
202
248
248
2 7
3 4
3 4
3 9
2 7
3 4
3 9
3 9
404
480
4 0
480
183
124
178
104
178
7 8
3 2
160
5 4
160
107
114
134
160
5 4
160
3 7
AVG
1 3
2 4
1 0
8
154
8 1
9 0
' 7
1 2
1 0
2 0
7
1 2
2 0
1 1
141
4 3
3 0
6 9
4 7
3 8
5 1
37
4 1
3 0
7
6 0
2 0
3 5
5 0
7 8
7 7
6 6
2 0
5 1
1 9
FREQUENCY DISTRIBUTION— PERCENT
10
4
6
7
1 9
1 9
2
2
2
2
2
2
67
7
9
3
9
7
1 2
9
7
2
6
2
6
1 0
2 2
4 6
1 3
2
8
7
20
7
9
7
1
124
3 5
3 2
3
3
3
2
3
3
2
3
7 6
10
2 3
12
9
1 1
8
1 8
11
1 4
3
13
8
8
1 5
56
4 9
3 5
8
13
1 1
30
8
1 1
8
1
124
4 1
79
4
5
4
3
4
5
2
4
8 3
1 2
2 2
1 7
1 6
1 2
1 0
25
1 8
1 9
4
1 3
1 0
1 2
2 5
59
52
3 6
1 0
2 3
1 3
4O
11
1 4
10
3
124
8 1
8 6
4
6
5
3
4
6
3
5
8 6
1 4
2 5
2 4
22
1 5
2 2
30
25
2 5
4
2 5
1 3
1 8
28
7 0
5 9
4 9
13
30
1 4
50
1 2
1 6
1 1
5
140
8 8
8 9
S
1 0
6
2 2
5
1 0
2 2
6
124
2 1
2 5
3 7
2 5
2 8
2 5
3 6
3 2
2 8
5
4 9
1 9
2 3
3 4
7 3
6 3
5 9
1 9
4 4
2 0
60
1 3
1 9
1 1
8
140
9 1
9 2
5
1 0
7
2 2
5
1 0
2 2
8
132
2 4
2 5
4 4
4 6
36
4 1
3 9
3 9
32
5
52
2 3
2 8
36
7 6
6 7
7 2
2 2
5 2
2 1
70
1 4
2 1
1 2
1 1
140
94
9 7
7
2 2
1 0
2 3
7
2 2
2 2
1 3
146
3 9
3 9
7 6
5 2
4 6
4 6
4 4
4 5
3 4
6
9 2
2 5
3 6
4 6
104
7 6
9 7
2 5
6 7
2 4
80
21
2 5
1 3
1 5
140
97
117
1 2
2 4
1 7
2 2
1 2
2 4
32
21
152
4 6
39
106
6 7
7 2
7 6
5 4
5 7
4 6
8
97
3 0
4 9
101
110
117
107
3 0
97
2 8
90
2 4
3 2
1 4
1 7
202
134
140
1 6
3 8
3 5
4 1
1 6
2 8
4 1
2 7
373
104
4 1
146
97
8 6
169
5 7
8 6
5 7
1 3
140
4 4
9 2
106
117
124
121
4 4
114
3 2
-------
100
TABLE 7. NITRATES—URBAN STATIONS—TOTALS
STATE OR REGION
CONNECTICUT TOTAL
UASSACHUSETS TOTAL
NEW HAMPSHRE TOTAL
NEW JERSEY TOTAL
NEW YORK TOTAL
PENNSYLVANIA TOTAL
DIS COLUMBIA TOTAL
KENTUCKY TOTAL
MARYLAND TOTAL
NO CAROLINA TOTAL
VIRGINIA TOTAL
WEST VIRGINA TOTAL
FLORIDA TOTAL
GEORGIA TOTAL
TENNESSEE TOTAL
ILLINOIS TOTAL
INDIANA TOTAL
OHIO TOTAL
WISCONSIN TOTAL
IOWA TOTAL
KANSAS TOTAL
MINNESOTA TOTAL
MISSOURI TOTAL
NORTH DAKOTA TOTAL
LOUISIANA TOTAL
OKLAHOMA TOTAL
TEXAS TOTAL
COLORADO TOTAL
IDAHO TOTAL
MONTANA TOTAL
UTAH TOTAL
WYOMING TOTAL
ALASKA TOTAL
CALIFORNIA TOTAL
HAmnll TOTAL
OREGON TOTAL
WASHINGTON TOTAL
NEW ENGLND TOTAL
MID ATLNTC TOTAL
MID EAST TOTAL
SOUTH LAST TOTAL
MID WEST TOTAL
CRT PLAINS TOTAL
GULF SOUTH TOTAL
ROCKY MNTN TOTAL
PAC COAST TOTAL
GRAND TOTAL
YEARS
55 56
55 57
5 7
55 56
54 57
54 57
54 56
54 57
5 7
57
5 7
55 57
55 57
55 56
55 57
54 57
55 57
54 57
5 7
5 '7
57
54 55
55 56
5 7
54 57
57
54 57
54 55
57
5 7
54 55
5 7
54 55
54 57
5 7
54 55
57
55 57
54 57
54 57
55 57
54 57
54 57
54 57
54 57
54 57
54 57
No. OF
SAMPLES
3 6
5 1
1 7
130
B 4
538
3 6
6 4
1 9
2 5
2 3
1 7
2 5
1 6
5 7
137
111
114
1 9
2 6
2 5
2 1
5 3
2 3
5 0
1 9
144
2 6
1
1
2 6
2 6
2 6
223
2 6
6 0
2 0
104
752
184
9 a
381
148
213
6 0
355
2315
(MICROGRAMS PER CUBIC METER) x 10'
MIN
2
1
4
2
1
1
3
1 3
5
4
1
3
2
5
4
4
1
7
3
7
2
1
5
8
2
1 1
9
5
5
2
3
1
3
1
1
2
1
1
2
MAX
2 0
3 8
3 5
6 9
7 4
8 3
9 3
4 7
4 2
3 7
112
5 0
3 5
6 0
140
200
6 7
205
6 2
5 2
2 5
3 0
4 3
1 7
3 8
3 5
8 3
3 0
1 1
9
110
1 8
3 3
480
3 2
160
3 7
3 8
8 3
112
1 4 0
205
5 2
8 3
110
480
8 3
AVG
6
6
1 2
1 1
1 7
1 6
2 4
1 7
2 4
1 4
2 2
1 0
1 3
1 3
2 2
3 0
2 2
2 3
2 2
1 8
1 6
1 1
1 2
1 0
1 3
1 7
1 6
1 3
1 1
9
2 4
1 0
8
4 8
7
5 1
1 9
7
1 5
1 9
1 8
2 5
1 3
1 5
1 5
4 1
2 1
FREQUENCY DISTRIBUTION— PERCENT
10
2
1
4
3
2
4
6
7
1 4
7
9
2
5
2
9
7
8
5
7
6
8
2
4
5
1
1 0
4
4
6
7
5
2
8
7
2
4
6
6
6
5
3
6
4
4
20
3
2
6
4
5
7
7
9
16
8
1 1
2
7
5
1 0
9
1 1
7
1 0
9
9
2
6
8
5
1 1
7
7
9
7
1
10
3
1 3
1 1
3
5
8
8
9
7
7
7
7
6
30
4
4
7
4
7
9
9
1 1
1 8
1 1
1 3
5
8
6
1 3
1 2
1 3
9
1 2
1 1
1 3
6
7
1 0
6
1 4
9
8
1 1
8
1
1 4
4
2 3
1 3
4
7
1 0
1 0
1 2
8
9
9
1 1
8
40
5
4
8
5
10
1 1
10
1 4
2 1
1 1
1 5
6
9
7
1 6
1 4
1 5
13
1 6
1 3
1 4
6
9
10
7
1 6
10
i 1
1 4
1 0
3
2 1
4
3 0
1 4
5
9
1 3
1 2
1 4
10
1 0
1 1
1 6
1 1
SO
6
5
9
6
1 4
1 3
1 5
1 6
2 4
1 4
1 6
7
1 1
9
2 0
1 8
1 9
1 6
1 8
1 4
1 5
8
1 1
1 1
1 1
1 8
1 2
1 2
1 2
9
1 6
1 1
5
2 7
5
4 4
2 0
6
1 2
1 5
1 5
1 8
1 2
1 3
1 2
2 3
1 3
60
6
6
1 0
7
1 8
1 6
21
1 8
2 5
1 5
1 7
7
1 4
1 1
2 2
2 3
2 2
20
1 9
2 1
1 9
9
1 2
1 2
1 3
1 8
1 6
1 3
1 2
9
1 9
1 1
8
3 7
5
5 2
2 1
6
1 S
1 8
1 8
2 1
1 3
1 6
1 3
3 1
1 7
70
7
8
1 1
9
2 2
2 0
3 1
2 0
29
1 8
1 9
1 0
1 7
1 2
2 5
2 9
2 7
2 7
2 2
2 3
2 0
1 2
1 3
1 2
1 9
1 9
1 9
1 4
1 2
9
2 1
1 2
1 1
4 9
6
6 7
2 4
8
1 9
2 1
2 2
2 8
1 5
1 9
1 5
4 3
2 1
80
8
1 0
2 4
1 2
27
2 4
4 3
24
32
2 0
27
1 2
1 8
17
31
4 5
3 2
3 5
32
25
2 1
1 9
1 4
1 3
21
22
2 3
21
1 2
9
25
1 3
1 5
7 7
8
97
2 8
1 0
2 3
2 6
25
3 6
20
22
1 9
6 5
2 7
90
9
1 2
2 5
2 0
3 5
3 1
4 9
3 3
3 6
2 2
3 6
1 9
2 4
2 2
3 5
7 0
4 1
4 5
4 1
2 8
2 3
2 8
2 3
1 4
2 5
2 7
2 8
2 4
1 2
9
3 2
1 4
1 7
110
1 3
114
3 2
1 2
3 1
3 7
3 3
5 1
2 4
2 8
2 4
102
4 1
-------
TABLE 7. NITRATES—SUBURBAN AND NONURBAN STATIONS
101
STATION LOCATION
SUBURBAN
MIDDLESEX CNTY MASS
LAKEHURST N J
KANAWHA CO tV VA
HAMILTON COUNTY OHIO
DENVER COUNTY COLO
MULTNOMAH CNTY ORE
GRAND TOTAL
NONURBAN
PT WORONZOF ALASKn
SITE
1
1
1
1
1
6
1
YEARS
5 5
55 56
5 5
54 55
54 55
5 4
54 56
55 56
No. Of
SAMPLES
2 3
1 9
1 7
2 2
1 0
1 0
101
1 2
1MICROGRAMS PER CUBIC METER) x Ifr1
MIN
1
2
1
1
2 1
MAX
1 6
5 5
1 4
5 2
1 2
6 1
6 1
7
AVG
5
1 1
6
1 0
5
4 4
1 1
1
FREQUENCY DISTRIBUTION — PERCENT
10
1
2
1
3
1
S 2
1
20
3
3
2
4
1
2 7
3
30
3
5
4
5
2
28
4
40
4
6
5
6
2
4 1
5
SO
c
7
6
6
4
4 6
6
1
60
c
7
8
7
5
5 2
8
1
70
6
8
9
8
7
5 6
9
1
80
8
8
1 1
1 0
8
5 9
1 1
2
90
1 0
1 0
1 2
1 3
9
6 3
4 1
2
-------
102
TABLE 7. NITRATES—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10-'
STATION LOCATION
WATERBURY CONN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BOSTON MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
EVERETT MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
MANCHESTER N H
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ELIZABETH N J
NUMBER OF SAMPLES
MAXIMUM
A V. E R A G E
Ml N 1 M U M
PAULSBORO N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CAMOEN N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PERTH AUBOY N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TRENTON N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
JERSEY CITY N d
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
N E » YORK N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BUFFALO N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PHILADELPHIA PA
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
ALTOONA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BRISTOL PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
CHESTER PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
55 56
55 57
5 5
57
55 56
55 56
55 56
55 56
55 56
55 56
54 57
57
54 57
56
55 56
55 56
JAN
2
7
4
2
2
1 0
8
7
3
11
8
5
3
5
3
2
2
8
6
5
2
9
7
6
3
1 0
6
4
3
2 3
1 4
7
2
1 2
8
-4
4
4 7
3 0
1 5
2
2 5
1 6
7
2 4
7 9
2 5
1
FEB
2
1 4
9
5
2
3 8
2 5
1 3
3
1 3
1 0
8
1
1 1
1 1
1 1
2
6
5
4
4
9
7
5
3
1 2
7
5
1
4
4
4
2
2 1
1 8
1 5
3
2 0
1 3
9
5
2 7
1 0
2
2
3 1
2 3
1 S
2 9
8 3
2 8
2
1
6
6
6
1
9
9
9
1
1 2
1 2
1 2
MAR
4
9
6
4
5
1 2
7
3
3
1 5
9
5
2
1 0
8
6
3
4 8
2 1
6
3
6 9
S 6
5
3
6 6
26
5
4
4 9
1 7
5
1
5
5
5
4
6 7
2 4
5
4
4 3
1 8
2
2
3 5
2 1
7
3 4
6 5
2 0
2
1
5
5
5
1
5
5
5
APR
5
1 1
5
2
1
1
1
1
1
2
2
2
2
35
19
4
5
8
5
3
5
6 2
20
4
2
5 9
32
5
5
4 8
12
2
1
4 6
4 6
46
4
64
2 2
3
4
19
8
3
2
33
i a
4
3 0
35
12
2
2
4
4
4
1
7
7
7
2
20
18
16
MAY
3
9
7
6
1
6
6
6
2
5
5
5
2
2 3
1 5
8
1
7
7
7
2
6
5
4
1
7
7
7
1
1
1
1
1
7
7
7
2 6
3 8
1 0
3
8
7
7
2
8
7
7
2
8
6
5
JUNE
3
6
4
4
2
2
2
3
3
5
3
2
1
2 S
2 5
2 5
1
3
3
3
1
4
4
4
1
5
5
5
2
5
4
4
9
Z 9
1 1
1
3
3 3
2 3
16
27
28
1 3
3
2
8
7
7
JULY
3
2 0
1 1
6
2
1 3
7
2
3
6
4
2
1
7
7
7
1
3
3
3
4
4
4
4
1
S
S
5
1
5
5
5
2
7
7
7
2
1 1
9
8
7
3 6
18
7
1
3 5
35
35
3 5
2 4
1 2
2
7
7
7
2
1 6
9
S
AUG
4
1 1
6
3
4
9
5
2
2
1 2
8
5
2
9
8
7
2
4
3
3
1
5
5
5
2
5
3
2
2
S
4
4
1
6
6
6
2
1 4
9
5
5
2 3
1 3
8
1
1 9
1 9
1 9
3 5
2 6
1 5
2
1
8
8
8
1
8
8
8
3
1 3
8
3
SEPT
1
2
2
2
1
6
6
6
2
8
6
5
1
1 0
1 0
1 0
1
5
5
5
3
7
6
6
1
5
5
5
6
35
1 8
6
2
7
5
4
4 1
4 3
1 8
7
2
5
5
5
4
1 0
8
7
4
1 8
1 2
8
OCT
4
7
5
3
2
5
3
2
1
1
1
1
2
28
1 8
9
2
6
5
5
2
6
5
4
2
8
6
5
1
2 2
2 2
2 2
6
7 4
36
1
1
3 3
3 3
33
39
7 2
2 4
6
2
1 6
1 1
7
3
8
7
7
1
6
6
6
NOV
3
9
6
4
2
6
5
4
1
5
5
5
1
4
4
4
1
7
7
7
3
10
9
8
1
18
18
18
1
13
13
13
7
27
13
1
1
20
30
20
47
64
20
2
1
13
13
13
2
12
10
9
DEC
3
8
5
3
1
5
5
5
2
9
7
5
2
12
9
6
2
1 3
10
8
1
7
7
7
2
7
6
6
2
11
10
9
3
1 8
IS
1 3
2
1 7
14
1 2
7
26
8
2
1
21
21
21
53
6 0
21
3
2
9
6
4
1
8
8
8
-------
TABLE 7. NITRATES—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x Ifr'
103
STATION LOCATION
ERIE PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PITTSBURGH PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HILLIAMSPORT PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
WASHINGTON DC
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LOUISVILLE KY
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BALTIMORE MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHARLOTTE NC
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NORFOLK VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHARLESTON W VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TAMPA FLA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ATLANTA GA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHATTANOOGA TENN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NASHVILLE TENN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHICAGO ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EAST ST LOUIS ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EAST CHICAGO IND
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
56
56
55 56
54 56
54 57
57
57
57
55 57
55 57
55 56
55 57
57
54 57
55 56
55 56
JAN
3
1 0
6
5
3
1 0
7
5
1
1 6
1 8
1 8
Z
1 9
1 7
1 6
2
3 1
2 3
1 6
2
2 2
2 0
1 8
2
17
1 0
4
3
1 9
i 5
9
1
2 0
2 0
2 0
3
27
2 1
12
4
3 6
3 2
2 9
4
6 1
2 4
11
4
1 7
1 3
1 2
6
4 1
1 6
4
FEB
1
6
6
6
3
9
5
3
3
1 6
1 3
1 0
5
9 3
4 1
9
3
3 6
3 3
30
2
1 6
1 4
1 3
2
8
8
8
2
1 9
1 4
9
1
7
7
7
2
2 4
1 9
1 5
1
5
5
5
5
1 7
1 3
8
2
3 9
3 1
2 4
7
163
6 4
1 0
2
10
8
7
5
2 2
1 3
6
MAR
2
7
5
3
3
1 1
6
4
1
9
9
9
2
3 3
2 0
7
2
4 2
2 8
1 5
2
1 2
1 1
1 1
3
112
4 6
1 2
2
2 2
2 0
1 9
2
1 8
1 0
3
3
1 2
8
2
3
2 4
1 8
1 3
2
2 9
2 1
1 4
7
4 4
1 4
6
2
1 1
8
5
1 4
3 1
1 7
7
APR
3
9
4
2
2
16
1 1
7
1
9
9
9.
2
22
18
15
3
4 2
30
20
2
1 4
1 1
8
1
26
26
2 6
4
15
9
5
2
16
12
9
2
16
10
5
2
33
2 0
7
3
13
9
6
2
2 8
1 6
5
7
39
23
1 1
MAY
2
6
5
S
3
21
1 3
8
3
1 4
9
6
1
1 4
1 4
1 4
1
1 4
14
1 4
3
1 1
9
S
2
4 1
3 4
27
2
1 1
8
5
3
1 6
1 2
9
1
2
2
2
2
4 0
30
2 0
3
2 3
1 9
1 2
8
2 1
1 3
6
2
1 6
1 4
1 3
4
6 0
28
10
JUNE
1
7
7
7
3
1 4
9
5
2
17
1 2
8
5
4 1
1 6
4
3
2 3
16
7
3
29
24
2 1
3
1 8
1 3
5
2
1 3
1 2
1 1
2
2
2
2
1
1 1
1 1
1 1
1
7
7
7
2
25
2 2
20
1 2
5 2
23
6
3
2 9
20
1 5
6
58
2 9
8
JULY
1
8
8
8
2
7
6
6
1
8
8
8
4
3 2
2 3
7
1 3
39
14
4
2
2 3
2 0
1 8
2
17
1 5
1 4
3
18
1 5
1 0
2
4
2
1
2
9
8
8
3
9
6
5
1
3 5
35
35
2
2 5
2 2
2 0
1 4
125
37
6
1
3 6
36
3 6
1 0
67
28
4
AUG
1
8
8
8
7
4 7
1 8
1
1 3
3 5
16
7
3
36
3 0
1 9
2
2 0
1 6
1 2
1
3 5
35
3 5
1
8
8
8
2
9
7
6
1
8
8
8
4
12
9
5
2
39
36
3 3
9
6 6
28
4
4
27
1 7
1 0
5
5 9
36
1 1
SEPT
3
1 2
9
7
2
29
1 6
4
3
2 9
1 7
1 1
6
7 7
3 3
9
1 2
4 7
1 8
3
1
2 6
2 6
2 6
2
2 0
1 4
8
1
2 7
2 7
2 7
1
5
5
5
3
2 0
1 1
3
4
2 0
1 6
1 2
3
140
6 3
19
8
87
4 5
2 0
3
1 7
1 1
7
7
2 2
1 3
8
OCT
4
1 4
8
6
2
6
5
4
2
1 1
1 1
1 1
3
6 2
3 8
9
6
2 7-
1 5
7
1
2 5
2 5
2 5
1
16
1 6
1 6
3
1 1
8
7
1
1 6
1 6
16
1
26
26
2 6
5
3 2
18
9
1
10
1 0
10
1 6
200
4 3
7
1
7
7
7
6
3 5
20
1 1
NOV
2
10
8
7
2
6
5
4
3
7
4
3
1
7
7
7
1
15
15
15
2
14
12
1 1
3
17
15
14
2
10
8
6
2
25
18
12
1
60
60
60
3
11
10
10
13
115
39
7
2
12
1 1
11
8
29
16
8
DEC
3
8
6
6
1
5
5
5
2
9
7
5
6
24
1 9
8
3
37
23
1 2
2
26
1 9
1 2
1
50
50
50
1
3 5
3 5
3 5
1
1 7
1 7
1 7
2
33
24
1 5
7
97
4 4
22
3
34
26
1 8
8
4 4
27
1 1
-------
104
TABLE 7. NITRATES—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10-'
STATION LOCATION
INDIANAPOLIS 1 N D
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CINCINNATI OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YOUNGSTOWN OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
CLEVELAND OHIO
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
MILWAUKEE W 1 S
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
OES MOINES IOWA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
WICHITA KANSAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
MINNEAPOLIS MINN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
KANSAS CITY MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ST LOUIS MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BISMARCK NO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NEW ORLEANS LA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TULSA OKLA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
FT WORTH TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HOUSTON TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BELLAIRE TEXAS
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
MINIMUM
YEARS
57
54 55
5 7
57
57
57
57
54 55
55 56
55 56
57
54 57
5 7
54 55
54 57
54 55
JAN
1
1 3
1 3
i 2
3
3 1
1 5
5
S
i i
1 1
l i
2
1 6
13
6
a
Z 3
2 3
2 1
3
5 a
3 3
1 5
3
2 1
2 1
2 1
1
3 0
3 0
3 0
4
1 5
1 3
Q
2
9
8
8
3
6
5
5
3
3 1
2 3
1 5
3
3 5
2 3
18
3
2 7
20
1 4
2
6 7
3 7
8
3
3 0
1 4
4
FEB
2
27
2 2
1 7
3
8 1
57
3 5
2
3 1
25
2 0
3
5 0
3 3
8
2
1 4
1 0
7
2
3 0
3 0
1 0
3
2 4
1 6
9
1
1 7
1 7
1 7
2
1 2
9
6
2
2 5
2 1
1 8
2
1 7
1 4
1 1
S
2 4
2 1
1 9
3
2 0
1 6
1 4
5
20
1 2
7
2
1 4
1 1
8
MAR
1
2 3
2 3
2 3
2
2 7
1 5
4
2
2 4
1 8
1 2
2
1 1
8
5
2
1 9
1 8
1 7
2
3 4
1 8
1 2
1
1 1
1 1
1 1
1
6
6
6
3
2 3
1 9
1 5
1
7
7
7
5
2 0
9
1
2
2 6
2 2
1 9
3
3 4
1 0
3
6
1 5
7
2
3
1 0
4
2
APR
2
1 4
1 3
1 3
2
6
5
5
3
25
20
1 5
1
9
9
9
3
62
35
7
2
3 1
17
13
3
18
1 5
1 3
1
1 2
1 2
1 2
4
1 4
8
2
3
1 3
1 2
1 1
2
15
10
5
4
1 3
1 1
7
1
1 8
1 8
i a
2
19
15
1 2
6
48
37
1 6
2
32
30
18
MAY
3
3 7
2 4
1 4
2
2 0
1 4
9
2
2 9
3 2
1 5
3
3 8
3 1
1 3
3
1 6
1 3
1 0
3
2 6
1 6
9
1
9
9
9
3
2 3
1 3
5
3
1 1
1 0
1 0
3
1 3
1 3
1 3
4
2 2
1 4
7
3
1 6
1 3
1 0
2
1 1
8
5
5
2 6
1 5
9
3
2 1
1 9
1 7
JUNE
2
2 7
2 2
17
5
3 9
20
6
1
1 3
1 3
1 3
2
1 4
9
5
1
1 3
1 2
1 2
2
1 9
1 6
1 3
3
1 3
9
8
2
7
4
2
3
1 3
9
5
2
1 1
9
8
2
1 3
10
8
4
1 3
9
7
1
1 4
1 4
1 4
2
5
3
2
1 3
30
1 8
3
2 0
1 7
1 5
JULY
2
5 5
4 5
3 6
8
1 7
9
3
2
29
2 8
3 8
2
4 3
4 3
4 3
3
4 8
4 3
3 8
3
37
3 6
2 5
Z
25
2 2
2 0
2
1 0
5
1
3
1 5
1 0
6
3
1 4
1 2
1 1
6
2 1
1 0
3
1 0
1 0
1 0
7
3 6
1 2
5
4
1 3
1 1
9
AUG
3
38
3 5
3 3
9
3 5
9
1
2
3 S
3 8
3 3
2
5 0
4 7
4 5
2
3 0
1 9
8
2
3 4
2 1
9
2
3 0
1 7
1 5
S
2 9
1 0
2
4
3 0
1 4
5
3
1 3
1 1
8
3
1 1
9
8
4
1 9
8
3
3
2 4
1 9
1 4
2
1 0
7
4
3
3 1
1 9
9
7
23
1 4
6
SEPT
2
4 1
3 0
1 9
1 2
205
4 2
5
2
2 8
2 3
1 6
2
5 0
3 2
1 4
2
2 1
1 6
1 1
2
1 1
7
3
1
2 0
2 0
3 0
4
1 8
1 0
7
1
7
7
7
1
9
9
9
1
1 0
1 0
1 0
4
5
2
1
1
8
8
6
3
6
4
3
6
4 0
3 6
1 8
5
1 9
1 1
3
ocr
4
39
3 4
2 1
8
57
3 3
3
3
3 3
19
1 6
3
3 5
2 8
2 1
1
18
1 8
18
2
2 3
1 4
5
3
2 4
19
1 4
3
2 6
1 9
7
1
2
2
2
2
7
6
5
3
1 2
1 1
1 1
3
3 1
1 1
2
3 6
3 1
1 6
3
1 4
8
3
6
8 3
3 6
4
4
1 3
8
5
NOV
2
30
1 6
1 3
3
3 3
1 4
4
3
36
3 3
16
3
4 4
36
33
2
33
2 1
30
3
15
12
7
2
4
3
2
1
1 1
1 1
11
3
8
S
4
3
14
13
13
5
30
1 4
5
3
1 1
10
10
2
10
6
3
9
17
1 1
10
2
10
3 0
10
DEC
2
1 4
1 3
1 3
6
104
4 0
8
2
1 9
1 2
6
2
8
7
7
3
1 5
1 0
6
3
2 2
21
2 0
1
6
6
6
1
4 3
4 3
4 3
2
38
27
1 6
1
1 3
1 3
1 3
3
38
30
1 5
2
31
1 6
1 2
3
37
1 1
3
7
6 1
31
1 2
3
20
1 1
5
-------
TABLE 7. NITRATES—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x Ifr1
105
STATION LOCATION
DENVER COL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SALT LAKE CITY UTAH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHEYENNE W Y 0
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
ANCHORAGE ALASKA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LOS ANGELES CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN FRANCISCO CALIF
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
PASADENA CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
BERKELEY CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN JOSE CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN LEANDRO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HONOLULU HAWAII
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PORTLAND OREGON
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SEATTLE WASH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
54 55
54 55
57
54 55
54 57
55 57
54 56
54 55
54 56
55 56
57
54 55
57
JAN
2
1 1
1 1
1 1
3
7 4
4 0
1 8
2
1 5
1 3
1 1
1
3 3
3 3
3 3
2
1 9
1 6
1 3
4
3 9
2 4
1 0
5
4 8
3 9
3
7 3
5 8
4 4
4
178
7 3
3 1
3
1 8
1 4
1 1
2
5
5
5
1
1 3
1 3
1 3
3
2 0
1 5
1 1
FEE
2
2 3
1 2
2
3
8 2
5 3
2 5
2
1 5
1 2
9
2
2 8
1 4
1
2
9 0
87
8 4
3
20
1 5
6
6
480
133
3
183
147
8 4
6
160
5 6
8
1
6
6
6
2
1 3
1 0
7
2
1 5
1 3
1 1
MAR
2
2 2
1 8
1 5
2
2 3
1 7
1 2
2
1 4
1 1
8
2
6
3
1
2
8 6
5 5
3 5
3
1 0
4
2
5
9 9
3 3
2
1 4
1 3
1 3
2
2 9
\ 7
6
2
1 5
1 1
8
3
5 4
3 8
1 9
1
1 4
1 4
1 4
APR
2
7
5
3
2
1 5
1 3
1 2
3
1 3
1 2
1 0
2
17
1 0
3
1
4 1
4 1
4 1
1
1 3
1 3
13
4
2 4
3 1
1
34
3 4
34
3
1 4
8
6
1
1
1
1
3
9
6
3
MAY
3
1 4
1 2
1 1
2
1 8
1 4
1 0
1
1 2
1 2
1 2
2
7 7
5 4
3 2
3
2 5
1 1
3
4
4 6
2 5
X
3
5 9
4 4
3 2
1
3 1
3 1
3 1
2
3 3
1 7
3
3
2 2
2 0
2 0
JUNE
5
2 8
1 6
4
2
2 0
1 6
1 2
3
1 8
1 4
1 2
5
1 3
5
1
3
122
101
8 9
2
34
18
2
9
146
57
q
2
9 2
53
1 2
4
4 1
3 3
1 9
2
7 8
60
4 3
1
6
6
6
2
1 4
1 0
7
JULY
2
1 3
1 2
1 3
2
9
7
6
3
1 5
1 2
1 1
1
1 8
1 8
1 8
4
302
131
8 0
5
5
4
3
8
137
5 3
1 2
3
3 6
2 1
1 6
5
7 5
4 0
9
4
6 0
4 0
3 2
3
3
3
3
2
2 5
2 4
2 4
2
3 7
2 5
1 3
AUG
2
1 4
1 3
1 3
2
1 4
9
5
2
1 1
9
7
3
1 1
6
1
2
9 7
9 3
8 9
2
5
5
5
3
8 5
5 9
«7
2
3
2
2
5
5 5
3 3
2 3
4
5 3
3 3
1 3
3
4
3
3
7
30
1 5
2
2
3 0
2 7
2 5
SEPT
2
1 2
9
7
2
1 4
9
5
2
1 0
8
7
3
1 6
1 4
1 2
1
9 7
97
97
3
6
4
3
4
142
6 0
1 R
-L D
2
4 9
37
3 5
6
104
4 9
1 0
1
3 0
2 0
2 0
2
5
5
5
5
4 2
3 3
1 0
3
3 3
3 9
3 5
OCT
2
8
8
8
2
3 8
2 2
1 6
1
7
7
7
3
4
2
2
117
103
89
3
8
5
4
6
404
174
•7
4
4 9
3 3
3
4
8 4
5 1
3 8
3
58
5 4
4 7
1
6
6
6
2 1
134
59
8
1
2 8
2 8
28
NOV
1
12
13
12
2
22
2 1
20
2
8
7
7
1
1
1
1
2
248
135
22
5
27
13
5
5
164
39
3
7
124
30
3
7
33
2 4
15
3
9
6
5
20
160
7 3
6
DEC
2
30
2 6
2 2
3
110
4 5
9
3
1 1
8
S
3
8
3
1
125
125
125
1
1 7
1 7
1 7
4
6 6
4 4
1 6
6
9 1
2 3
7
1
7
7
7
2
5
4
3
-------
106
TABLE 7. NITRATES—SUBURBAN STATIONS
(MICROGRAMS PER CUBIC METER) » Ifr-
STATION LOCATION
MIDDLESEX CNTY MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LAKEHURST N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
K A N A W H A CO W .V A
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HAMILTON COUNTY OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DENVER COUNTY COLO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
5 5
55 56
55
54 55
54 55
JAN
a
1 6
1 0
5
3
6
4
3
1
1 1
1 I
1 1
FEB
1
1 0
1 0
1 0
1
8
8
8
3
1 4
1 0
6
1
4 3
4 3
4 3
1
1 2
1 2
1 2
MAR
2
1 1
7
4
3
5 5
2 3
8
2
1 3
1 2
1 2
1
4
4
4
APR
3
5 3
2 2
6
1
5
5
5
MAY
1
3
3
3
2
4
3
2
2
8
8
8
JUNE
3
5
2
i
1
2
2
2
1
1
1
1
JULY
2
5
4
4
1
2
S
2
3
5
3
2
4
8
6
4
1
7
7
7
AUG
3
9
5
2
1
6
6
6
4
1 0
6
3
SEPT
3
9
7
6
2
8
6
5
4
1 1
9
7
2
2
1
1
OCT
1
4
4
4
1
7
7
7
2
5
3
1
4
7
4
2
8
5
2
NOV
2
7
6
6
2
10
9
8
1
4
4
4
3
7
5
3
1
9
9
9
DEC
3
4
3
2
1
1 0
10
1 0
1
9
9
9
2
52
32
13
1
1
1
1
-------
TABLE 8. SULFATES— URBAN STATIONS
107
STATION LOCATION
WATERBURY CONN
BOSTON MASS
EVERETT MASS
MANCHESTER N H
ELIZABETH N J
PAULSBORO N J
CAMDEN N J
PERTH AMBOY N J
TRENTON N J
JERSEY CITY N J
NEW YORK N Y
BUFFALO N Y
PHILADELPHIA PA
ALTOONA PA
BRISTOL PA
CHESTER PA
ERIE PA
PITTSBURGH PA
WILLIAMSPORT PA
WASHINGTON DC
LOUISVILLE KY
SITE
1
i
1
1
1
1
1
1
1
1
1
z
2
2
2
3
3
3
1
2
1
1
1
1
3
4
4
4
5
6
7
1
1
1
1
1
1
1
2
1
1
1
2
2
8
3
4
YEARS
55 56
55 57
5 5
57
55 56
55 56
55 56
55 56
55 56
55 56
57
54
5 5
56
54 56
54
5 5
54 55
54
5 5
5 6
57
54 57
57
57
5 7
54
5 5
56
54 56
54
56
57
56 57
5 6
56
56
5 4
5 5
5 6
5 7
54 57
56
55 56
55 56
5 6
56
55 56
54
55 56
54 56
5 4
5 5
54 55
5 4
5 5
54 55
54
57
5 4
5 5
57
54 57
No. OF
SAMPLES
3 6
2 5
2 6
1 7
2 1
2 5
2 1
2 3
1 7
2 3
5
2 5
2 1
3
4 9
8
1 7
2 5
3 4
3 8
3
5
8 0
6
1 3
1 9
7 1
881
1 5
367
4
1 4
2
1 6
1 4
1 5
1 4
7 5
281
7 2
2
430
1 3
1 8
1 8
2 5
2 1
2 3
2 6
2 0
4 6
3 1
2 1
4 2
1 3
1 0
2 3
5
2
3 9
3 1
2
7 8
(MICROGRAMS PER CUBIC METER) x 10-'
MIN
7 4
3 5
3 2
8 2
9
7
1 1
5
6 4
114
211
1 0
7 2
179
1 0
7
162
7
5
7 2
179
211
5
9 9
5 7
5 7
4
109
8
5 3
214
5 3
8 4
166
8 2
4
5 3
214
4 9
9 3
6 6
38
2 9
102
1
2 7
1
3
3 2
3
6 9
9
9
2
105
2
9
105
2
MAX
383
159
825
273
330
434
327
298
380
366
406
510
485
283
510
276
383
383
510
485
283
406
510
266
317
317
878
853
633
878
189
733
287
733
402
341
459
878
853
733
327
878
153
278
266
166
388
284
160
374
274
415
312
415
340
335
335
74
130
415
335
130
415
AVG
197
9 9
8 8
103
147
193
171
136
165
198
381
252
242
242
247
183
274
245
228
256
242
381
248
161
139
146
270
244
278
350
7 2
866
220
260
346
245
205
260
244
248
280
847
9 7
157
159
8 2
159
178
5 0
182
107
167
187
177
128
120
124
1 8
117
135
166
117
148
FREQUENCY DISTRIBUTION— PERCENT
10
1 08
5 8
39
34
8 5
9 1
7 4
5 2
69
123
235
4 5
104
7 9
7
179
164
10
146
235
9 8
104
56
60
9 8
110
136
108
6 0
7 9
9 1
171
9 1
9 1
110
115
107
5 2
104
7 9
52
39
122
2
104
4
6
112
1 3
6 9
9
39
2
5
39
9
20
119
60
4 9
60
9 5
104
8 5
8 3
85
136
235
179
146
179
162
104
239
179
104
173
179
235
169
104
8 5
9 1
119
144
156
142
8
119
119
156
179
119
114
144
156
142
6 0
110
9 1
57
7 4
133
4
136
8
12
188
112
7 9
3 9
69
2
13
9 8
6 9
30
146
81
60
7 9
104
161
119
91
104
165
310
235
168
179
196
104
248
341
305
196
179
310
809
136
91
112
166
167
305
168
8
179
220
188
193
825
136
159
167
186
220
169
7 9
113
104
6 4
98
146
6
149
2 6
104
156
144
8 5
60
79
5
119
77
119
119
98
40
162
8 6
6 5
9 1
119
170
130
100
119
174
310
258
188
179
225
179
357
248
241
235
179
310
239
136
112
128
195
190
235
193
52
196
280
196
380
235
168
184
190
210
320
194
98
119
128
67
118
168
8
168
7 4
146
171
160
9 1
6 9
9 1
5
119
9 8
136
119
122
SO
186
98
7 4
9 6
129
188
168
136
146
189
356
280
215
270
356
205
266
857
258
851
270
356
257
156
136
143
235
224
258
238
5 2
205
220
215
235
253
179
225
224
230
220
235
107
149
146
7 6
156
186
1 6
188
108
164
192
175
119
98
104
5
119
136
171
119
142
60
213
119
8 5
99
136
205
192
149
156
800
356
290
235
270
277
247
270
264
274
266
270
356
275
168
146
149
266
251
270
254
5 2
235
320
335
247
261
213
257
251
250
320
251
109
164
205
8 2
188
194
6 0
205
136
179
305
192
138
104
125
5
119
148
192
119
164
70
235
139
9 1
104
179
228
220
162
192
220
388
305
290
270
295
258
310
283
292
300
270
382
297
168
156
164
310
277
356
283
104
370
220
253
270
280
328
303
277
270
220
278
113
179
217
9 1
205
201
7 9
225
156
205
325
213
136
136
136
7
119
171
213
119
190
M
278
136
119
128
205
253
253
173
270
347
382
325
356
270
322
258
341
310
306
333
370
382
327
179
179
179
426
317
382
333
104
310
235
310
356
290
235
420
317
319
235
325
114
205
323
104
247
215
109
244
196
283
247
258
156
156
156
7
136
205
235
136
229
90
303
151
136
136
270
310
390
370
310
310
408
382
408
310
382
270
356
356
356
382
310
408
376
179
205
205
468
408
468
435
136
616
235
356
391
310
356
468
408
387
235
486
119
353
235
136
270
253
119
261
335
310
270
300
253
235
253
7 9
136
283
270
136
280
466455 O -58 -8
-------
108
TABLE 8. SULFATES—URBAN STATIONS
STATION LOCATION
BALTIMORE MO
CHARLOTTE NC
NORFOLK V A
CHARLESTON W VA
TAMPA FLA
ATLANTA GA
CHATTANOOGA TENM
NASHVILLE T E N N
CHICAGO ILL
EAST ST LOUIS ILL
EAST CHICAGO IND
INDIANAPOLIS INO
DETROIT MICH
CINCINNATI OHIO
YOUNGSTOWN OHIO
CLEVELAND OHIO
MILWAUKEE HIS
DES MOINES 1 0 » A
WICHITA KANSAS
MINNEAPOLIS MINN
SITE
1
1
1
1
2
1
1
1
1
1
1
1
3
3
3
4
1
1
1
1
2
2
2
3
4
5
1
2
1
2
3
4
1
1
1
1
1
1
1
2
3
4
1
1
1
1
1
1
1
1
YEARS
5 7
5 7
5 7
54
55 57
54 57
54
57
54 57
54
55
54 56
5 5
57
55 57
55 56
55 57
57
54
55
54 55
54
5 5
54 55
54
5 5
57
54
5 5
57
54 57
55 56
55 56
55 56
55 56
55 56
55 56
55 56
55 56
57
53
54
53 54
54
55
54 55
5 4
54
54
54
55
54 55
57
57
5 7
57
57
54
5 5
54 55
No. OF
SAMPLES
1 9
2 5
2 3
1 1
1 7
2 8
1 0
2 1
4
3 5
1 0
1 5
26
1 4
2
1 6
1 8
3 4
2 3
4
2 8
3 2
3 0
2 6
5 6
3
2 9
2
37
8 3
2
122
1 5
1 4
2 9
19
2 6
2 1
2 0
8 6
2 5
2 1
1 2
3 3
7 3
27
100
2 0
22
2 8
143
2 7
170
2 5
2 6
1 9
2 6
2 5
1 5
2 0
3 5
(MICROGRAMS PER CUBIC METER) x 10-'
MIN
1 0
2 9
6 2
4 1
4 6
2 4
1
3 6
1
5 2
176
5 2
7 6
5 2
7 3
2
6 7
2
5
7 6
235
6 7
235
126
7 4
7 4
109
7 8
6 4
3 2
3 2
48
1
3 0
1
2
2
3
1
3 0
1
6 3
7 1
2 2
3 5
27
3
2 4
3
MAX
254
141
234
311
461
461
1 7
173
7 5
173
6 6
148
332
167
321
321
275
321
180
358
373
373
540
435
540
6 9
318
254
540
435
254
540
317
250
317
436
454
492
422
492
259
222
462
462
358
267
358
240
108
324
358
267
358
314
395
274
425
167
109
317
317
AVC
120
7 6
132
7 1
220
166
5
102
5 8
6 9
1 1
9 0
6 9
108
248
126
134
130
6 5
101
198
186
237
231
235
2 8
145
244
206
190
244
196
218
144
182
216
212
234
179
211
132
7 4
9 6
8 2
4 6
152
7 5
5 4
3 4
110
5 9
152
7 4
168
187
116
123
6 3
1 5
118
7 4
FREQUENCY DISTRIBUTION— PRCENT
10
32
30
9 1
1
7 9
4
1
6 3
3
1
4 5
3
52
7 9
8 3
7 9
9
109
4 5
4
119
9 8
9 1
4
101
7 4
146
7 4
104
119
119
9 1
69
100
8 3
1
1
1
3
7 9
4
2
3
4
3
7 9
4
9 1
8 7
4 5
5 2
30
3
30
4
10
5 2
4 5
101
2
9 1
5
1
6 9
2 6
6
3
52
5
8 5
8 5
9 1
8 9
30
1
125
109
104
146
116
5
104
7
119
108
156
104
125
136
130
119
7 9
119
9 1
3
7
4
5
112
6
7
5
16
6
112
6
104
104
7 9
60
4 1
4
6 9
8
30
91
60
108
4
119
60
3
8 2
2 6
2 6
3
79
8
91
179
98
104
100
3 2
136
130
119
196
162
5
119
235
98
134
235
128
188
112
140
179
149
136
104
140
107
4
1 2
9
7
128
9
9
8
2 2
8
128
9
119
141
91
8 1
4 5
5
79
1 2
40
104
6 9
115
4
205
9 1
3
8 8
6 5
6 4
5
83
3 9
104
179
104
119
112
34
156
149
168
209
196
5
129
235
119
149
235
149
196
128
152
192
168
164
119
166
113
9
23
1 2
9
141
16
1 4
13
28
1 2
141
17
130
151
9 6
8 6
52
5
9 1
20
SO
119
8 1
125
5
235
136
5
104
6 5
7 4
5
91
6 9
108
179
112
136
119
65
192
186
235
222
224
1 2
139
235
173
179
235
176
220
136
179
205
205
188
164
189
122
6 3
3 0
6 3
1 2
156
38
1 8
1 6
136
2 2
156
3 5
149
179
101
98
6 0
9
119
69
60
136
8 5
130
6 0
270
205
5
112
6 5
a s
6
98
8 3
112
179
119
142
132
72
220
205
300
235
275
1 2
146
235
280
200
235
208
235
143
192
220
235
205
179
218
129
69
104
104
26
165
6 9
39
26
156
3 7
165
6 5
168
199
104
119
63
1 0
128
8 5
70
146
9 1
136
9 1
297
270
6
119
69
104
6
112
9 1
119
179
128
147
144
7 7
253
244
3 25
270
300
1 2
156
235
318
225
235
245
270
156
220
253
247
310
220
248
162
128
119
123
4 5
179
121
6 0
4 2
173
6 0
179
113
205
215
119
136
68
1 2
136
119
80
156
100
156
136
356
297
6
130
6 9
115
8
119
112
128
356
156
150
151
104
270
278
348
300
336
12
173
270
348
264
270
293
290
179
253
290
264
356
253
286
173
156
136
136
6 5
195
149
9 1
79
192
113
195
149
235
253
146
168
7 9
1 4
149
132
90
235
114
205
205
382
356
9
146
7 9
136
1 2
136
128
156
356
168
156
179
136
408
294
302
468
356
423
69
196
270
438
302
270
345
333
253
290
333
310
448
310
356
205
192
156
192
136
205
195
119
9 1
253
179
205
195
297
310
220
205
119
2 0
192
156
-------
TABLE 8. SULFATES—URBAN STATIONS
109
STATION LOCATION
KANSAS CITY MO
ST LOUIS MO
BISMARCK NO
NEW ORLEANS LA
TULSA OKLA
FT WORTH TEXAS
LAKEWORTH TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
DENVER COL
SALT LAKE CITY UTAH
CHEYENNE W Y 0
ANCHORAGE ALASKA
LOS ANGELES CALIF
SAN FRANCISCO CALIF
PASADENA CALIF
BERKELEY CALIF
SAN JOSE CALIF
SAN LEANDRO CALIF
HONOLULU HAWAII
PORTLAND OREGON
SEATTLE HASH
SITE
2
3
4
1
1
1
2
3
1
1
1
1
1
1
3
1
1
2
1
1
1
1
1
1
1
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
4
5
1
YEARS
54 56
54
55 56
54 56
55 56
57
54 55
54 55
57
54 57
57
54 55
C J
O 4
5 4
5 5
54 55
57
54 57
54 55
54 55
54 55
57
54
55
54 55
54
57
54 57
55
56
55 56
57
55 57
54
5 5
56
54 56
54 55
54
55
5 6
54 56
55 56
5 7
54
5 5
54 55
54
5 4
54
5 4
55
54. 55
5 7
No. OF
SAMPLES
2 5
6
9
4 0
2 5
2 3
2 5
2 4
5
5 4
1 9
3 6
g
26
56
8 2
4
86
4 5
2 6
3 1
2 6
3 1
1 0
4 1
1 9
2 1
4 0
1 7
1 5
3 2
3
3 5
2 3
3 5
4
6 2
3 5
2 7
1 2
2 0
5 9
3 0
2 6
2 0
1 9
3 9
1 5
1 0
1 0
5 5
1 9
7 4
2 0
(MiCROGRAMS PER CUBIC MtrER) x !»'
MIN
2
3
2 6
2
7 1
1 8
1
2
1 2
1
8
2 5
2
2 6
2 1
59
2 4
3 2
2 4
2 3
2 3
1
122
3
4 8
1 5
2 5
1
4 3
1
7
6 0
2 2
1
4 3
1
MAX
310
1 9
223
310
439
142
136
115
115
136
126
151
C
188
336
336
104
336
196
273
374
123
199
123
199
281
266
281
205
216
216
5 9
216
565
335
410
565
250
4 6
232
229
232
151
184
246
184
246
388
213
366
388
184
388
7 6
AVG
115
7
8 6
9 2
216
4 8
6 6
5 7
4 8
6 0
S 6
5 8
2
3 0
110
8 4
4 1
a 2
6 7
6 1
123
5 4
3 3
7 2
4 2
107
148
128
8 5
8 3
8 4
3 9
8 0
175
161
282
174
2 6
7
6 2
106
5 2
7 7
5 0
6 3
114
8 8
147
105
147
109
114
110
2 3
FWOUENCY DISTRIBUTION— PaCENT
10
5
3
2 8
4
104
1 9
9
4
1 2
9
2 0
6
1
37
2
1
8
4
1
3 4
2 3
1
1
6 9
2
4 9
39
39
37
3
60
1 3
2
1
3
5 2
2
4 5
28
2
5 2
4
8
6 0
2 3
5
52
7
1
10
2 3
3
30
6
119
2 8
4 7
2 9
12
2 7
3 4
1 4
1
4 8
1 6
1
1 4
34
2 3
6 0
3 9
1
3 4
1
2
9 1
4 9
52
4 2
4 9
23
4 5
1 4
7 9
136
5 2
2
2
4
6 9
4
56
30
4
6 9
8
8
6 5
6 0
8
6 9
1 0
1
30
56
4
4 5
28
149
3 4
5 4
3 4
2 3
4 1
4 0
39
2
60
37
1
35
4 5
4 5
85
4 6
2
60
4
9
125
6 9
57
55
56
2 3
5 4
2 0
104
136
94
3
3
9
8 3
6
6 4
3 6
5
87
1 4
1 2
6 9
6 9
1 4
87
55
2
4O
7 9
4
60
5 2
168
3 7
5 8
4 3
23
52
4 3
47
3
68
5 1
1
4 9
5 2
4 7
9 8
4 8
4
6 5
6
4 9
136
112
6 5
5 7
60
2 3
58
5 3
143
270
132
4
4
2 3
9 1
10
69
3 8
8
9 8
6 0
119
9 5
9 1
6 3
98
8 4
8
50
104
5
6 9
6 9
235
4 3
6 6
5 2
2 6
5 9
4 5
57
5
88
6 5
1
6 4
6 4
5 1
114
5 1
6
6 9
2 3
6 9
156
136
7 4
6 5
6 7
3 9
6 5
136
168
270
162
5
5
39
104
2 0
7 4
4 2
9
112
8 8
179
100
125
98
112
1 O 0
1 5
60
119
6
6 9
9 5
245
5 2
7 2
60
2 6
6 6
5 2
7 1
1 6
112
8 6
1
8 6
7 2
6 5
130
5 5
1 8
79
39
104
171
164
7 9
6 9
7 4
39
7 2
192
186
270
192
6
6
4 5
110
4 9
7 9
4 7
1 4
119
100
192
104
130
119
119
119
1 8
70
156
6
74
119
260
5 6
7 9
8 3
6 9
7 9
6 9
7 7
2 3
128
107
69
104
8 6
7 2
146
57
3 7
91
6 6
192
183
186
9 8
7 9
9 1
39
9 1
235
211
356
220
8
7
5 2
116
7 9
9 1
5 0
9 1
136
125
235
112
136
156
136
146
3 0
60
213
6
7 9
179
270
60
9 1
9 1
6 9
91
7 9
9 1
6 0
168
133
6 9
130
100
82
179
6 5
69
98
7 9
220
192
199
119
119
119
3 9
112
290
229
356
270
26
1 1
119
128
107
104
6 0
136
162
162
253
119
179
199
162
179
4 5
90
235
6
205
223
356
79
125
101
119
112
9 8
104
q
9 8
205
192
104
186
128
8 8
247
7 4
9 1
104
104
253
201
235
136
179
168
6 0
168
537
290
468
333
9 1
1 2
205
156
128
115
6 9
205
173
188
310
156
310
358
173
235
69
-------
110
TABLE 8. SULFATES—URBAN STATIONS —TOTALS
STATE OR REGION
CONNECTICUT TOTAL
MASSACHUSETS TOTAL
NEW HAMPSHRE TOTAL
NEW JERSEY TOTAL
NEW YORK TOTAL
PENNSYLVANIA TOTAL
DIS COLUMBIA TOTAL
KENTUCKY TOTAL
MARYLAND TOTAL
NO CAROLINA TOTAL
VIRGINIA TOTAL
WEST VIRGIN A TOTAL
FLORIDA TOTAL
GEORGIA TOTAL
TENNESSEE TOTAL
ILLINOIS TOTAL
INDIANA TOTAL
MICHIGAN TOTAL
OHIO TOTAL
WISCONSIN TOTAL
IOWA TOTAL
KANSAS TOTAL
MINNESOTA TOTAL
MISSOURI TOTAL
NORTH DAKOTA TOTAL
LOUISIANA TOTAL
OKLAHOMA TOTAL
TEXAS TOTAL
COLORADO TOTAL
IDAHO TOTAL
MONTANA TOTAL
UTAH TOTAL
WYOMING TOTAL
ALASKA TOTAL
CALIFORNIA TOTAL
HAWAII TOTAL
OREGON TOTAL
WASHINGTON TOTAL
NEW ENGLND TOTAL
MID ATLNTC TOTAL
MID EAST TOTAL
SOUTH EAST TOTAL
MID WEST TOTAL
CRT PLAINS TOTAL
GULF SOUTH TOTAL
ROCKY MNTN TOTAL
PAC COAST TOTAL
GRAND TOTAL
YEARS
55 56
55 57
5 7
55 56
54 57
54 57
54 56
54 57
57
5 7
5 7
54 57
54 57
54 56
55 57
54 57
55 57
53 54
54 57
5 7
5 7
57
54 55
54 56
5 7
54 57
5 7
54 57
54 55
57
5 7
54 55
5 7
5 4 55
54 57
57
54 55
5 7
55 57
54 57
54 57
54 57
53 57
54 57
54 57
54 57
54 57
53 57
No. OF
SAMPLES
3 6
5 1
1 7
130
9 9
548
4 6
7 3
1 9
2 5
2 3
2 8
3 5
2 6
5 7
151
111
3 3
221
1 9
2 6
2 5
3 5
6 5
2 3
5 4
1 9
173
2 6
1
1
3 1
2 6
4 1
261
2 6
7 4
2 0
104
777
213
118
535
174
346
8 5
422
2674
(MICROGRAMS PER CUBIC METER) x 1O'
MIN
7 4
3 3
2 2
5
5
1
2
1 0
3 9
6 2
1
3 2
1
2 2
3 5
2 7
3
2
1 8
1
8
2
1 4
9
2 6
3 5
1
2 2
2
MAX
383
225
273
434
510
878
274
415
254
141
234
461
173
332
321
540
492
463
395
274
425
167
317
439
142
136
136
336
273
1 4
9
374
123
199
565
184
388
7 6
383
878
461
332
540
439
336
374
565
878
AVG
197
9 3
103
169
338
224
107
148
120
7 6
132
166
6 9
6 9
104
193
193
8 2
9 8
116
133
6 3
7 4
140
4 8
6 0
5 6
7 1
6 1
1 4
9
123
5 4
4 2
9 6
5 0
110
2 3
130
215
129
8 6
144
101
6 7
8 0
8 6
139
FREQUENCY DISTRIBUTION — PERCENT
10
108
39
3 4
8 0
8 5
88
4
9
3 2
3 0
9 1
4
3
3
3 1
7 9
8 8
1
5
4 5
5 2
3 0
4
6
1 9
9
3 0
2
4
1
3 4
1
3
2 8
7
1
4 9
8 5
8
5
7
1 0
4
9
2
8
20
119
5 2
6 0
9 7
140
117
8
6 9
S3
4 5
101
5
6
5
4 9
111
110
4
8
7 9
6 0
4 1
8
3 0
2 8
2 7
3 4
1 3
2 3
6 0
3 9
2
6
3 0
1 0
1
6 6
115
5 0
2 6
3 0
2 9
2 1
3 7
7
4 3
30
146
6 3
7 9
121
170
147
2 6
9 8
9 1
6 0
108
60
2 6
8
7 4
130
124
9
1 6
9 1
81
4 5
1 3
6 9
3 4
4 1
4 0
3 6
4 5
8 5
4 6
6
2 6
36
55
2
8 2
143
79
5 0
8 2
4 4
3 8
48
2 4
6 7
40
163
7 4
9 1
134
305
173
7 4
122
104
6 9
115
9 1
6 4
39
8 6
149
144
1 2
3 8
96
8 6
5 2
2 0
9 6
3 7
5 2
4 3
4 8
4 7
98
4 8
2 2
5 3
3 8
8 4
8
9 5
169
98
7 2
110
5 9
4 7
5 2
4 5
9 1
50
186
8 6
9 6
161
241
200
108
142
119
8 1
125
136
7 4
6 9
104
177
172
6 3
7 9
101
98
6 0
6 9
119
4 3
5 9
4 5
6 1
5 1
1 4
9
114
5 1
3 4
7 1
4 2
100
1 5
112
195
116
8 4
131
7 3
5 9
6 0
6 1
116
60
313
9 5
9 9
178
260
232
136
164
136
8 5
130
305
8 5
8 3
113
305
194
104
114
104
119
6 3
8 5
151
5 2
6 6
5 3
7 3
6 5
1 4
9
130
5 5
4 2
9 4
4 7
119
1 8
128
227
137
9 9
156
9 5
7 0
7 5
7 9
143
70
235
119
104
300
383
359
156
190
146
9 1
136
270
104
9 1
129
241
228
123
145
119
136
6 8
119
210
5 6
7 9
6 9
8 9
7 2
1 4
9
146
5 7
5 6
122
5 0
146
3 0
151
256
164
114
189
124
8 5
8 9
107
179
80
278
131
138
239
310
298
196
339
156
100
156
397
115
113
145
385
361
136
179
146
168
7 9
133
340
6 0
9 1
7 9
109
82
1 4
9
179
6 5
7 4
172
60
179
4 5
189
393
303
129
229
156
102
119
149
225
90
303
151
136
268
363
394
335
26 0
235
114
305
356
136
128
156
333
338
192
229
330
205
1 1 9
156
290
7 9
112
9 8
146
8 8
1 4
9
247
7 4
9 8
221
6 9
235
6 9
258
365
2^8
149
292
235
128
156
204
388
-------
TABLE 8. SULFATES— SUBURBAN AND NONURBAN STATIONS
ill
STATION LOCATION
SUBURBAN
MIDDLESEX CNTY MASS
LAKEHURST N J
KANAWHA CO W VA
HILLSBOROUGH CO FLA
FULTON CO GEORGIA
HAMILTON COUNTY OHIO
TONKA BAY MINN
DENVER COUNTY COLO
SALT LAKE CO UTAH
MULTNOMAH CNTY ORE
GRAND TOTAL
NONURBAN
PT WORONZOF ALASKA
SITE
1
1
1
1
1
1
1
1
1
1
1
YEAtS
5 5
55 56
54 55
54
5 4
54
54
54 55
54
S 4
54 56
55 56
No. OF
SAMPLES
2 3
1Q
y
2 3
4
8
3 5
9
1 0
5
1 2
148
1 2
(MICROGRAMS PER CUBIC METER) x Ifr'
MIN
3 2
1 2
i
2
1 6
4
2 2
MAX
146
325
2 p 1
4
7 1
142
8
7 1
152
121
281
7 3
AVG
6 5
108
124
3
1 4
2 6
5
4 0
4 0
4 9
5 9
4 4
FREQUENCY DISTRIBUTION— PERCENT
10
34
3 4
i
2
2
1
1 6
4
3
2 2
20
4 3
6,-,
u
6 0
1
3
3
3
2 3
4
4
2 4
30
4 5
7 4
69
1
3
4
4
2 6
1
31
6
39
40
50
i-j r
I y
7 9
3
4
c
5
3 6
1
3 3
2 3
3 9
SO
5 6
1 o o
-L u y
100
3
6
6
5
3 7
1
3 4
4 4
4 3
60
6 0
156
3
6
8
5
3 9
1
3 9
60
4 S
70
7 6
188
4
8
1 3
6
4 9
5 3
6 9
7 5
4 6
80
8 5
205
4
8
6 3
7
5 2
5 2
9 1
9 8
6 0
90
104
IV Q
f y
253
4
1 4
9 1
7
6 9
156
104
149
6 3
-------
112
TABLE 8. SULFATES—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x NT*
STATION LOCATION
IATERBURT CONN
NUMBER OF SAMPLES
M A X- 1 MUM
AVERAGE
Ml N 1 M U M
BOSTON MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
EVERETT MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
MANCHESTER N H
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ELIZABETH N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
'PAULSBORO N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
CAMOEN N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PERTH AMBOY N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TRENTON N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
JERSEY CITY N J
NUMBER OF SAMPLES
MAXI MUM
AVERAGE
Ml N 1 M U M
N E » YORK N Y
NUMBER OF SAMPLES
MAXI MUM
AVERAGE
Ml N 1 M U M
BUFFALO N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
PHILADELPHIA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
ALTOONA PA
NUMBER OF SAMPLES
MAXI MUM
AVERAGE
Ml N 1 MU M
BRISTOL PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
CHESTER PA
NUMBER OF SAMPLES
MAXI MUM
AVERAGE
Ml N 1 MU M
YEARS
55 56
55 57
55
57
55 56
55 56
55 56
55 56
55 56
55 56
54 57
57
54 57
56
55 56
55 56
JAN
2
263
184
107
2
130
77
3 5
3
173
101
5 0
3
120
101
90
2
394
247
201
2
297
260
223
3
189
119
85
3
187
163
151
2
200
160
121
5
465
299
179
2
148
135
123
27
878
314
8
FEB
2
268
241
215
2
139
126
114
3
115
8 2
6 2
1
59
5 9
5 9
2
121
101
8 1
4
404
269
167
3
327
273
193
1
9 1
9 1
9 1
2
380
246
112
3
250
233
205
7
3O8
243
157
2
170
166
163
32
545
293
108
1
115
115
115
. 1
164
164
164
1
153
153
153
MAR
4
279
214
162
5
ISO
106
6 5
3
109
7 2
50
2
99
96
9 4
3
291
163
9
3
434
337
56
3
269
204
8 5
4
277
154
5
1
90
9 0
9 0
4
366
248
167
e
406
213
5
2
266
182
9 9
3 5
630
2C 0
J O
4
1
112
112
112
1
116
116
116
APR
5
383
240
145
1
59
59
59
1
35
35
35
2
104
88
72
5
330
189
123
5
255
185
7
2
131
122
114
5
298
147
48
1
64
64
64
4
180
144
114
8
348
170
10
2
204
178
152
32
477
21 R
JL O
9
2
78
6 3
4 9
1
9 4
94
94
2
259
173
87
MAY
3
324
200
111
1
6 4
6 4
6 4
2
225
145
6 5
2
135
9 9
6 4
1
125
125
125
2
133
109
8 5
1
6 4
6 4
6 4
5
237
169
4 3
1
60
6 0
6 0
2 7
733
P fi Q
c, u y
1 4
3
116
103
9 7
2
163
136
110
2
124
9 9
7 5
JUNE
3
111
9 4
7 7
2
87
69
52
3
98
60
32
1
98
9 8
98
1
226
226
226
1
8 1
8 1
8 1
1
8 4
8 4
a 4
2
157
144
132
9
340
228
155
3
317
204
138
27
422
1 R A
J. O O
55
2
212
153
95
JULY
3
183
156
129
2
8 1
8 0
8 0
3
6 5
4 9
35
1
3 1
3 1
31
1
115
115
115
4
201
161
120
1
129
129
129
1
100
100
100
2
180
175
171
2
197
194
191
7
361
305
232
1
198
198
198
35
370
5 3
2
249
212
175
2
217
216
215
AUG
4
151
118
7 4
4
144
105
60
2
86
8 2
76
2
124
109
94
2
119
106
9 3
1
9 9
9 9
9 9
2
139
7 5
1 1
2
9 9
86
7 3
1
108
108
108
2
208
172
136
5
260
177
72
1
8 2
e 2
8 2
35
309
1
105
105
105
1
188
188
188
3
228
187
127
SEPT
1
183
183
183
1
38
38
38
2
85
76
68
1
85
8 5
8 5
1
101
101
101
3
189
134
79
1
159
1 5-9
159
6
370
250
126
a
88
73
57
4 1
465
10 Q
O c
S3
2
118
88
59
4
215
130
93
4
266
173
89
ocr
4
372
206
134
2
122
107
9 2
1
80
80
80
2
273
234
195
2
175
172
169
2
168
123
79
2
169
154
139
1
249
249
249
6
510
339
234
1
117
117
117
39
536
o 9 •»
f £ j
84
3
153
106
59
2
138
134
110
1
66
66
66
NOV
3
290
256
222
2
159
143
127
1
130
130
130
1
90
90
90
1
186
186
186
3
249
166
120
1
276
276
276
1
270
270
270
7
485
303
260
1
134
184
134
47
519
A J -I
tS 4 J
55
1
111
111
111
2
841
194
148
DEC
2
300
290
280
1
153
153
153
2
211
170
130
2
113
67
22
2
258
208
159
1
93
93
9 3
2
335
196
167
2
147
122
98
3
324
180
94
2
318
265
212
7
383
288
154
1
117
117
117
53
799
•m Q 4
J 3* 1
161
2
378
210
143
1
118
118
lie
-------
TABLE 8. SULFATES—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x Ifr'
113
STATION LOCATION
ERIE PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
HI N 1 MU M
PITTSBURGH PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
HILLIAMSPORT PA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
WASHINGTON 0 C
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
LOUISVILLE KY
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BALTIMORE MO
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MU M
CHARLOTTE NC
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NORFOLK VA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
CHARLESTON W VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TAMPA FLA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MU M
ATLANTA GA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
CHATTANOOGA TENM
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NASHVILLE TENN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
CHICAGO ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EAST ST LOUIS ILL
NUMBER OF SAMPLES
MAX! MUM
AVERAGE
Ml N 1 MU M
EAST CHICAGO INO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
YEARS
56
56
55 56
54 56
54 57
57
57
57
54 57
54 57
54 56
55 57
57
54 57
55 56
55 56
JAN
3
132
88
5 3
3
99
7 3
4 4
1
341
241
241
2
105
101
97
2
254
174
9 4
2
99
93
87
2
183
155
128
3
90
66
24
1
332
332
332
3
321
195
90
4
154
111
6 9
5
254
2 10
168
4
317
243
199
6
466
286
134
FEE
1
8 2
8 2
8 2
3
144
6 9
2 9
3
237
184
134
6
252
153
27
3
155
115
65
2
153
145
138
2
8 9
79
7 0
2
218
173
128
1
371
371
371
3
150
7 3
3
3
133
4 6
1
5
153
102
52
2
128
8 3
3 9
7
435
301
142
2
186
166
147
5
289
208
130
MAR
2
130
9 6
6 3
3
239
213
164
1
143
143
143
1
9 3
9 3
9 3
2
180
155
130
2
197
168
140
2
141
1O 9
77
3
196
168
143
4
311
168
5 3
5
142
4 9
5
6
110
50
5
3
138
113
9 1
2
180
113
4 7
7
252
186
128
2
315
210
105
1 4
456
296
130
APR
3
85
55
38
2
196
162
128
5
140
4 7
5
7
157
4 1
2
3
241
156
10
2
106
101
97
1
105
105
1 OS
5
199
58
6
131
6 1
5
5
84
34
3
2
114
96
79
2
68
5 1
34
3
248
202
144
2
250
216
183
7
492
313
64
MAY
2
144
108
7 3
3
215
193
181
6
226
101
5
3
3 2
1 5
5
1
6 5
6 5
6 5
2
8 2
7 O
5 8
2
234
190
147
5
350
152
5
5
134
5 1
3
6 6
37
6
2
137
117
9 8
3
31
1 8
9
1 2
410
121
2
9 3
8 3
7 4
4
267
193
9 3
JUNE
1
9 3
9 3
9 3
3
311
192
77
2
284
206
129
6
206
62
1
4
300
127
5
3
127
108
90
3
6 9
4 7
29
2
103
9 9
96
3
250
120
2
2
9 5
4 8
1
1
126
126
126
2
3 4
34
34
20
358
137
2
3
185
147
119
6
336
195
114
JULY
1
6 5
6 5
6 5
2
254
226
198
1
161
161
161
4
261
126
5 9
1 3
335
208
8 5
2
95
6 3
32
2
5 1
45
4 0
3
130
103
6 2
2
284
225
167
2
8 1
7 4
67
3
101
6 1
36
1
146
146
146
2
7 6
4 4
12
1 4
328
190
9 2
1
292
292
292
1 0
266
172
78
AUG
1
143
143
143
7
245
118
1 3
1 3
283
172
7 3
3
141
7 4
3 1
2
115
102
89
1
121
121
121
1
234
234
234
2
8 3
7 3
64
1
9 4
94
9 4
4
145
183
104
2
9 7
6 3
2 9
9
318
154
67
4
276
178
186
5
174
138
87
SEPT
3
166
118
5 3
2
231
173
115
3
222
200
161
6
179
97
8
1 2
415
155
9
1
106
106
106
2
67
48
29
1
112
112
112
1
305
305
305
3
184
88
69
4
167
141
112
3
77
5 1
8
318
218
108
3
317
168
136
7
208
130
38
OCT
4
8 4
7 1
5 3
a
185
144
104
Z
265
193
121
3
274
130
3
6
340
163
39
1
113
113
113
1
102
102
102
3
366
207
78
1
108
1 O8
108
1
119
119
119
5
880
139
108
1
76
76
76
16
486
209
88
1
77
77
77
6
895
168
98
NOV
2
104
88
6 1
Z
388
848
108
3
204
169
185
1
183
183
183
1
159
159
159
2
86
78
58
3
135
118
84
2
85
63
4 1
2
112
104
96
1
70
70
70
3
9 1
85
76
13
540
245
76
2
168
153
137
8
293
172
79
DEC
3
69
60
50
1
120
iao
120
2
200
151
102
6
300
168
69
3
94
68
29
2
132
111
101
1
461
461
461
1
173
173
173
1
148
148
148
2
875
809
144
8
417
284
93
3
864
211
131
8
316
178
78
-------
114
TABLE 8. SULFATES— URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10~«
STATION LOCATION
INDIANAPOLIS IND
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
DETROIT MICH
NUMBER OF SAMPLES
MAX! MUM
AVERAGE
Ml N 1 MU U
CINCINNATI OHIO
NUMBER OF SAMPLES
MAX! MUM
AVERAGE
Ml N 1 M H M
YOUNGSTOWN OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CLEVELAND OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
MILWAUKEE WIS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DES MOINES IOWA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
WICHITA KANSAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
MINNEAPOLIS MINN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
KANSAS CITY MO
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
ST LOUIS HO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU U
BISMARCK NO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
NEW ORLEANS LA
NUMBER OF SAMPLES
MAX! MUM
AVERAGE
Ml N 1 M U M
TULSA OKLA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
FT WORTH TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 UU M
YEARS
57
53 54
54 55
57
57
57
57
57
54 55
54 56
55 56
57
54 57
5 7
54 55
JAN
1
131
131
131
3
198
156
118
2
175
132
8 9
2
245
191
138
2
104
6 3
22
2
208
189
171
2
5 9
4 4
2 9
1
317
317
317
4
310
234
183
2
316
276
237
2
3 9
34
3 0
3
119
106
84
3
126
78
39
2
151
118
86
FEB
2
170
151
132
2
134
129
124
8
137
60
1 8
2
290
237
185
3
395
315
156
2
274
173
7 3
2
425
358
292
3
8 1
52
35
3
133
4 8
3
3
234
110
4
2
439
399
360
2
68
6 1
5 4
5
88
67
22
4
8 3
47
6
MAR
1
8 5
8 5
8 5
3
2 9
2 1
1 2
52
324
8 3
2
2
138
107
7 6
2
169
128
8 8
2
141
112
8 4
2
159
134
110
1
66
66
6 6
4
120
3 S
3
8
215
68
5
1
56
56
56
5
86
4 9
1 2
2
5 3
4 7
4 3
5
118
6 1
9
APR
2
192
175
159
4
148
91
8
20
301
52
2
3
215
150
111
1
210
210
310
3
215
161
113
2
135
1 OO
66
3
55
41
28
5
189
45
5
7
102
38
3
3
267
182
125
2
9 1
71
51
4
72
64
49
1
SO
50
50
4
71
21
MAY
3
120
86
4 a
3
7
3
2 2
338
5 3
3
2
282
258
234
3
165
124
9 5
2
9 1
8 3
7 5
3
9 9
8 8
8 2
1
4 9
4 9
4 9
4
1 9
1 1
5
5
59
37
6
3
354
238
107
2
3d
34
32
6
108
6 1
2
2
4 4
26
8
5
123
6 5
2
JUNE
2
116
110
104
1
462
463
462
19
270
8 3
2
1
63
6 3
6 3
2
147
118
8 9
1
4 4
4 4
4 4
2<
8 2
70
58
3
64
5 1
4 0
3
57
29
4
3
134
56
3
3
149
130
112
2
73
4 5
18
6
58
35
1
1
34
34
34
3
77
66
56
JULY
2
359
212
166
8
176
5 2
5
2
130
116
113
2
259
837
215
2
212
153
9 4
2
103
9 5
87
2
105
7 9
5 4
2
125
76
28
2
170
133
9 6
2
53
4 1
30
6
115
5 0
34
2
79
7 0
6 1
AUG
2
232
208
184
9
138
4 9
1
3
178
141
104
2
302
251
200
2
105
102
100
3
139
83
35
3
126
97
69
5
153
10«
65
4
217
143
77
3
370
213
101
3
65
50
4 1
4
97
60
35
3
103
69
4 3
2
4 5
35
25
SEPT
2
136
93
50
1 2
358
93
3
2
147
139
133
2
208
139
71
2
96
96
96
2
188
120
53
1
68
68
68
4
90
69
34
1
59
59
59
1
176
176
176
1
3 4
3 4
24
4
82
53
39
1
88
88
88
3
74
55
37
OCT
4
176
131
82
8
330
104
6
3
314
357
201
3
303
141
80
1
130
120
120
3
115
9 3
73
3
167
118
70
3
143
125
109
1
75
75
75
3
336
153
71
3
4 4
28
30
3
7 4
39
9
3
102
89
77
3
68
47
35
NOV
3
130
113
97
81
323
74
3
159
80
6
3
394
319
104
3
315
217
145
3
143
143
143
3
68
46
27
3
154
139
105
1
118
118
118
3
348
195
148
3
142
98
55
5
124
64
42
3
4 1
33
25
3
101
80
59
DEC
2
112
111
110
6
173
84
14
2
144
126
108
2
186
146
106
3
80
54
35
2
87
76
65
1
190
190
190
1
390
390
390
3
346
288
231
1
38
38
38
3
136
117
94
2
4 1
30
19
3
101
74
49
-------
TABLE 8. SULFATES—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 1O'
115
STATION LOCATION
HOUSTON TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
BELLAIRE TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
DENVER COL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
SALT LAKE CITY UTAH
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MU M
CHEYENNE KYO
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
ANCHORAGE ALASKA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
LOS ANGELES CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN FRANCISCO CALIF
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MU M
PASADENA CALIF
NUMBER OF SAMPLES
U A X 1 MUM
AVERAGE
Ml N 1 M U M
BERKELEY CALIF
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
SAN JOSE CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN LEANDRO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
HONOLULU HAWAII
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 UU M
PORTLAND OREGON
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
SEATTLE » A S H
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
54 57
54 55
54 55
54 55
57
54 55
54 57
55 57
54 56
54 55
54 56
55 56
57
54 55
57
JAN
3
104
6 2
3
196
9 2
3 5
2
4 8
4 2
3 6
3
247
216
179
2
8 1
5 5
3 0
1
7 4
7 4
7 4
2
121
101
8 1
4
216
138
2 3
5
410
217
3
176
7 4
6
4
832
8 3
3
3
7 7
54
1 5
2
184
119
5 4
1
202
202
202
2
6 2
4 0
1 8
FEB
7
320
9 1
5
3
68
4 5
3
2
86
8 0
7 4
3
254
207
149
2
4 5
4 0
36
4
199
7 3
7
3
242
211
196
3
6 0
5 4
4 4
7
256
121
1
5
350
8 8
4
6
111
4 4
4
1
4 5
4 5
4 5
2
7 3
6 4
56
2
5
4
4
2
26
2 0
1 5
MAR
9
215
8 9
5
4
100
6 2
1 6
2
132
109
8 7
2
152
122
9 2
2
50
4 8
4 7
4
6 7
3 3
1 8
6
281
135
3 3
3
6 2
4 7
3 5
7
207
116
1 3
4
8 5
46
5
2
6 3
54
4 6
2
9 0
6 9
4 9
9
176
4 3
7
1
7 1
7 1
7 1
APR
7
95
5 3
2
8 0
6 1
4 2
2
85
68
52
2
127
98
70
3
69
57
50
8
123
38
5
204
102
4
1
1 O8
1 08
108
7
189
88
6
2
7
6
5
2
1 1
1 1
11
1
75
75
75
3
6 3
48
39
4
4 3
16
2
2
59
29
MAY
8
185
7 6
4
127
8 6
2
7 5
6 2
5 0
2
8 8
8 4
8 1
1
4 8
4 8
4 8
3
8 9
4 1
5
8
249
102
3
7 4
6 3
5 8
6
346
227
124
2
9
4
5
107
5 3
1
101
101
101
2
6 1
5 3
4 5
3
1 1
8
5
3
4 5
1 9
1
JUNE
1 4
160
52
4
110
64
8
5
4 7
20
2
6
111
2 8
3
7 5
S 5
39
7
176
8 2
6
4
185
95
2
7 4
7 1
6 9
9
321
145
3
2
5
4
4
5
140
6 6
7
2
110
9 9
8 8
1
4 6
4 6
4 6
2
JULY
7
109
5 6
15
4
5 5
22
6
2
6 9
6 3
58
2
9 3
7 6
6 0
3
5 6
5 2
46
1
6
6
6
4
170
120
5 0
5
78
48
2 4
8
269
161
2 0
3
3
2
2
5
130
6 7
3
4
9 3
7 2
5 3
3
5 2
37
25
2
103
9 6
8 9
2
2 8
2 2
16
AUG
3
196
98
1 3
7
175
7 3
6
2
4 6
4 5
4 5
2
109
102
95
2
123
86
5 0
3
39
1 5
2
2
185
184
184
2
5 7
56
56
3
267
167
7 8
2
a
5
2
5
122
69
2
4
121
7 3
4 3
3
4 6
34
29
7
184
108
60
2
2
2
2
SEPT
6
268
160
36
5
109
7 3
35
2
6 1
4 2
2 3
2
105
89
7 4
2
60
S 4
4 8
3
4
3
2
1
148
148
148
3
73
55
4 6
4
558
244
2 2
3
4
3
3
6
229
75
3
1
85
85
85
2
4 1
3 7
3 3
5
176
133
69
3
76
28
2
OCT
6
108
6 3
18
4
123
67
3 3
2
75
5 3
32
2
250
188
126
1
3 3
3 3
3 3
3
48
17
1
2
172
167
162
3
122
9 3
59
6
565
331
141
4
6
4
2
4
74
a 2
2
3
115
103
86
1
30
30
30
3 1
388
143
2
1
34
34
34
NOV
9
175
58
25
2
79
78
78
1
83
83
83
3
139
134
130
2
73
67
6 1
1
62
62
63
2
266
164
63
5
167
105
62
5
74
17
2
7
187
38
3
7
151
86
49
3
42
36
30
30
295
144
1
DEC
7
336
175
94
3
89
76
63
2
273
138
4
3
374
204
98
3
56
4 1
36
3
72
24
1
1
131
131
131
1
205
205
205
4
97
32
2
6
105
31
1
1
64
6 4
64
2
39
37
36
-------
116
TABLE 8. SULFATES—SUBURBAN STATIONS AND NONURBAN STATIONS
(MICROGRAMS PER CUBIC METER) x )<}'
STATION LOCATION
SUBURBAN
MIDDLESEX CNTY MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LAKEHURST N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
|\ A N A W H A CO IV VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HAMILTON COUNTY OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DENVER COUNTY COLO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NONURBAN
PT WORONZOF ALASKA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
5 5
55 56
54 55
54
54 55
55 56
JAN
2
146
9 6
4 7
2
144
130
117
1
6 3
6 3
6 3
1
6 S
6 2
6 3
FEB
1
7 5
7 5
75
1
7 8
78
7 8
3
2 57
191
9 5
1
6 3
6 3
6 3
MAR
2
102
6 7
3 2
3
137
7 5
1 2
2
101
8 b
7 2
4
142
104
6 2
1
3 8
3 8
3 8
1
2 2
2 2
2 2
APR
3
225
146
9 6
1
1 fl 6
186
186
2
6 9
4 1
1 3
1
5 1
5 1
5 1
1
4 5
4 5
4 5
MAY
1
4 8
4 8
4 8
2
7 5
5 3
3 1
5
281
107
5
6 5
2 6
3
2
4 6
4 3
3 9
JUNE
3
101
6 7
4 4
1
107
107
107
3
192
8 5
6
3
107
6 3
5
JULY
2
4 3
3 8
3 3
1
5 5
5 5
5 5
3
234
155
8 9
4
1 4
9
6
1
3 5
3 5
35
1
7 3
7 3
7 3
AUG
3
5 7
4 8
4 3
1
204
204
204
4
6
4
3
2
3 9
3 2
2 5
SEPT
3
8 8
7 4
5 4
2
145
102
5 9
4
1 0
5
3
2
2 4
2 3
2 2
1
2 4
2 4
2 4
ocr
i
5 1
5 1
5 1
1
7 0
7 0
7 0
2
157
118
7 9
4
8
4
2
7 1
55
3 9
1
48
48
4 8
NOV
2
123
97
7 1
2
208
179
151
1
6 8
6 8
6 8
3
7
5
4
1
4 7
4 7
4 7
1
60
60
6 0
DEC
i
7 9
5 9
4 1
1
157
157
157
1
9 4
9 4
9 4
2
2
1
1
1 6
1 6
1 6
1
4 2
4 2
4 2
-------
TABLE 9. BARIUM—URBAN STATIONS
117
STATION LOCATION
WATERBURY CONN
BOSTON MASS
EVERETT MASS
ELIZABETH N J
PAULSBORO N J
CAMDEN N J
PERTH AMBOY N J
TRENTON N J
JERSEY CITY N J
NEW YORK N Y
PHILADELPHIA PA
ALTOONA PA
BRISTOL PA
CHESTER PA
ERIE PA
PITTSBURGH PA
WILLIAMSPORT PA
WASHINGTON DC
LOUISVILLE K Y
CHARLESTON W VA
TAMPA FLA
ATLANT" GA
CHATTANOOGA TENN
CHICAGO ILL
EAST ST LOUIS ILL
SITE
1
1
1
1
1
1
1
1
1
1
1
2
3
1
1
1
4
5
6
7
1
1
1
1
1
1
2
1
1
1
2
2
2
4
1
1
3
4
1
2
4
1
3
YEARS
5 5
5
-------
118
TABLE 9. BARIUM—URBAN STATIONS
STATION LOCATION
EAST CHICAGO IND
CINCINNATI OHIO
MINNEAPOLIS MINN
KANSAS CITY MO
ST LOUIS MO
NEW ORLEANS LA
FT WORTH TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
DENVER COL
SALT LAKE CITY UTAH
ANCHORAGE ALASKA
SAN FRANCISCO CALIF
PASADENA CALIF
SAN JOSE CALIF
SAN LEANDRO CALIF
PORTLAND OREGON
SITE
1
2
3
4
1
1
3
4
I
1
2
1
1
1
1
S
1
1
1
1
1
1
YEARS
55 56
55 56
55 56
55 56
55 56
5 5
54 55
55 56
55 56
55 56
55 56
54 55
54 55
54 55
54 55
54 55
54 55
54 55
54 55
54 55
55 56
55 56
55 56
55 56
54 55
No. OF
SAMPLES
1 9
2 6
2 1
2 0
86
2 3
2 1
1 8
9
2 7
2 3
2 4
2 2
4 6
2 4
6 4
3 1
2 3
2 6
1 3
3 2
2 0
2 5
3 0
2 0
MIN
6
2
(MICROGRAMS PER CUBIC METER) x 10°
MAX
200
220
4 0
2 0
220
100
7 0
100
2 0
100
200
200
300
300
4 0
1500
1400
100
7 0
700
5 0
3 0
4 2
300
5 0
AVG
3 9
2 5
1 1
7
2 0
3 1
2 0
2 3
6
1 7
2 7
2 7
5 0
3 8
7
7 3
186
2 9
1 6
111
9
8
8
3 8
2 0
FREQUENCY DISTRIBUTION— PERCENT
10
1
1
6
1
1
1
1
1
2
1
1
1
20
5
1
1
1
12
1
8
1
5
1
1
5
4
3
3
1 0
3
1
1
5
30
6
1
1
1
1
20
6
1 0
1
6
1 1
8
1 0
9
4
5
1 1
4
1
1
1
1
1 0
1 0
40
10
2
2
1
4
22
7
17
5-
9
20
9
1 1
10
1
6
10
20
6
1
1
5
1
1 9
1 1
50
1 1
2 1
6
2
1 0
2 9
2 0
2 1
5
1 1
2 2
1 0
2 0
1 1
1
1 0
2 1
2 2
1 0
1
4
8
1
2 1
2 1
60
2 1
2 8
1 1
3
20
30
2 1
23
5
20
2 3
1 1
23
21
1
20
2 3
23
1 1
1 1
8
9
8
2 2
23
70
2 9
2 9
2 1
1 4
2 2
3 8
2 3
2 8
6
2 2
2 8
2 1
3 1
2 3
1 1
2 3
3 8
39
2 2
2 1
1 0
1 0
1 0
28
28
80
42
3 8
22
20
29
4 2
31
2 9
9
28
31
2 3
6 6
42
21
39
4 2
4 2
29
2 3
21
1 1
1 1
3 9
30
90
103
4 1
2 9
2 2
3 9
6 3
5 7
3 0
1 1
2 9
5 3
96
201
98
2 3
7 7
1198
57
3 1
528
2 3
2 1
3 4
9 6
3 1
-------
TABLE 9. BARIUM—URBAN STATIONS—TOTALS
119
STATE OR REGION
CONNECTICUT TOTAL
MASSACHUSETS TOTAL
NEW JERSEY TOTAL
NEW YORK TOTAL
PENNSYLVANIA TOTAL
DIS COLUMBIA TOTAL
KENTUCKY TOTAL
WEST VIRGINA TOTAL
FLORIDA TOTAL
GEORGIA TOTAL
TENNESSEE TOTAL
ILLINOIS TOTAL
INDIANA TOTAL
OHIO TOTAL
MINNESOTA TOTAL
MISSOURI TOTAL
LOUISIANA TOTAL
TEXAS TOTAL
COLORADO TOTAL
UTAH TOTAL
ALASKA TOTAL
CALIFORNIA TOTAL
OREGON TOTAL
NEW ENGLNO TOTAL
MID ATLNTC TOTAL
MID EAST TOTAL
SOUTH EAST TOTAL
MID WEST TOTAL
CRT PLAINS TOTAL
GULF SOUTH TOTAL
ROCKY MNTN TOTAL
PAC COAST TOTAL
GRAND TOTAL
YEARS
55 56
55
55 56
54 56
55 56
55 56
54 55
5 5
5 5
55 56
55 56
55 56
55 56
5 5
54 55
55 56
54 55
54 55
54 55
54 55
54 55
55 56
54 55
55 56
54 56
54 56
55 56
55 56
54 56
54 55
54 55
54 56
54 56
No. OF
SAMPLES
3 6
4 9
120
3 9
265
1 7
6 Z
1 6
2 1
1 6
3 2
106
86
2 3
2 1
5 0
4 6
119
2 3
2 6
1 3
107
2 0
8 5
424
9 5
6 9
215
7 1
165
4 9
140
1313
(MICROGRAMS PER CUBIC METER) x 1Q-3
MIN
2
MAX
4 0
100
5 2
140
100
4 0
9 5
100
5 0
200
100
300
220
100
7 0
200
300
1500
100
70
700
300
5 0
100
140
100
200
300
200
1500
100
700
1500
AVG
1 0
1 3
2
1 0
9
1 4
1 6
3 1
1 8
4 5
2 3
3 4
2 0
3 1
2 0
2 2
3 8
8 9
2 9
1 6
111
1 6
2 0
1 2
7
1 8
2 7
2 8
2 1
7 5
2 2
2 6
2 5
FREQUENCY DISTRIBUTION— PERCENT
10
1
1
1
1
1
2
1
1
1
1
2
20
1
1
1
1
1
1
1
1
1 2
1
5
4
1
10
3
1
5
1
1
1
1
1
3
1
30
1
1
1
1
6
1
1
1
2 1
7
1
1
2 0
6
8
9
3
1 1
4
1
1
1 0
1
1
7
2
7
4
7
1
1
40
1
1
1
1
10
2
10
1
2 1
10
1 0
4
22
7
1 1
10
5
2 0
6
1
4
1 1
1
1
2
1 1
9
1 0
7
1 0
5
1
50
9
1
1
1
1
2 0
3
1 1
2 1
2 3
2 3
2 1
1 0
2 9
2 0
2 0
1 1
1 0
2 2
1 0
1
8
2 1
5
1
6
2 3
2 0
2 0
1 0
1 9
9
6
60
1 0
6
1
1
1
20
6
39
28
4 2
2 8
3 0
20
30
21
2 1
2 1
20
2 3
1 1
1 1
10
2 3
1 0
1
1 1
28
2 2
2 1
20
2 1
1 1
1 1
70
2 0
1 1
1
7
9
2 1
1 2
4 2
2 9
5 3
3 0
4 1
2 2
3 B
2 3
2 3
2 3
2 2
39
2 2
2 1
2 0
28
1 9
5
2 2
3 0
3 0
2 3
2 3
2 8
2 1
2 1
BO
22
2 3
1
1 7
1 8
22
3 8
6 6
31
6 6
3 9
5 5
2 9
4 2
31
2 9
4 2
3 8
4 2
2 9
2 3
2 2
3 0
2 2
12
3 8
4 1
4 1
29
3 9
38
2 3
2 9
90
3 3
4 2
7
2 9
2 9
2 3
5 7
7 7
4 2
8 9
5 7
7 7
3 9
6 3
5 7
3 9
9 8
7 3
5 7
3 1
528
3 1
3 1
3 8
2 7
5 9
5 7
6 4
5 1
9 8
5 3
3 6
5 0
-------
120
TABLE 9. BARIUM— SUBURBAN AND NONURBAN STATIONS
STATION LOCATION
SUBURBAN
MIDDLESEX CNTY MASS
LAKEHURST N J
KANAWHA CO W VA
DENVER COUNTY COLO
GRAND TOTAL
NONURBAN
PT WORONZOF ALASKA
SITE
1
1
1
1
YEARS
5 5
55 56
5 5
54 55
54 56
55 56
No. OF
SAMPLES
2 3
1 7
1 7
1 0
6 7
1 2
MIN
(MICROGRAMS PER CUBIC METER) x Ifr1
MAX
5 0
6 0
90
9 0
2 0
AVG
9
1 4
2 8
1 1
FREQUENCY DISTRIBUTION— PERCENT
10
1
20
1
30
1
1
1 1
1
40
1
1
2 1
1
50
8
1
1
2 3
1
60
9
1
1 1
2 9
8
70
1 0
1
2 2
3 1
1 1
80
2 0
1
31
39
2 2
90
2 3
1
4 2
4 2
3 1
2 0
-------
TABLE 9. BARIUM—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10°
121
STATION LOCATION
WATERBURY CONN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
BOSTON MASS
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
EVERETT MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NEW YORK N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PHILADELPHIA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
ERIE PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PITTSBURGH PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
WILLIAMSPORT PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
WASHINGTON DC
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LOUISVILLE KY
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHARLESTON W VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TAMPA FLA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
ATLANTA GA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHATTANOOGA TENN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHICAGO ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EAST ST LOUIS ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
55 56
5 5
5 5
54 56
55 56
5 6
56
55 56
55 56
54 55
5 5
55
55 56
55 56
55
55 56
JAN
2
1
3 0
3 0
1 0
3
1 0
6
1
3 1
3 1
3 1
1 7
5 2
1 5
3
2 0
1 3
3
2 0
1 2
8
1
1 0
1 0
1 0
2
2
1
2
3 0
1 5
1
200
200
200
1
2
4
5 0
2 9
8
FEB
2
2
3
6 0
3 3
3
1 4
4
1 3
I 5
4
1
3
4 0
2 0
1 0
3
6 0
3 3
2
3
3 9
1 6
3
1
5 0
5 0
5 0
1
5 0
5 0
5 0
1
5 0
5 0
5 0
5
3 8
2 3
3
8 0
4 0
1 0
2
5 0
3 5
2 0
MAR
4
1 0
4
4
3
4 0
1 3
1
1 3
2 2
5
2
3
7 0
3 6
1 0
1
5 0
5 0
5 0
1
3 5
3 5
3 5
1
6 0
6 0
6 0
1
3
5 0
3 0
2 0
3
3 0
1 6
1 0
6
6 0
1 5
2
200
115
3 0
APR
5
20
4
1
1
4 0
4 0
4 0
4
140
35
1 3
5 3
5
3
6
2
2
5 0
25
1
2 0
2 0
20
1
6
6
6
3
3 0
2 0
2
4 0
2 0
2
2 9
1 4
3
8 0
4 6
2
8 0
4 0
MAY
3
2 0
2 0
2 0
1
6
6
6
2
100
5 0
1
1 9
1 9
1 9
1 8
7 4
6
2
6
3
3
3 0
2 3
2 0
3
2 0
1 3
1
2 3
2 3
2 3
2
4 0
2 0
2
1
2
7 0
5 0
3 0
8
100
1 8
2
6 0
4 0
2 0
JUNE
3
1 0
3
2
2 0
1 0
3
50
1 8
7
1 4
4
1 2
3 7
6
1
3
2 0
1 5
6
2
2
4 0
3 5
3 0
3
9 5
6 0
2 0
2
9 0
5 0
1 0
1
2 0
2 0
20
1
20
2 0
2 0
1 1
7 0
1 2
3
5 0
36
2 0
JULY
3
3 0
1 5
7
2
1 0
5
3
5
1
4
7
3
1 3
2 6
4
1
2
1
2 0
2 0
2 0
1
2 0
2 0
2 0
1 3
6 1
1 9
2
1 0
5
2
3 0
1 5
3
2 0
1 3
1
1 0
1 0
1 0
9
4 0
6
1
200
200
200
AUG
4
3 0
1 7
1 0
4
2
2 0
1 0
4
2 4
1 2
1 3
3 5
3
1
3 0
3 0
3 0
3
2 0
1 5
6
1 3
5 7
8
1
7 0
7 0
7 0
2
4 0
3 5
3 0
1
8 0
8 0
8 0
4
3 0
1 7
6
100
4 5
2 0
4
7 0
5 0
3 0
SEPT
1
1 0
1 0
1 0
1
6 0
6 0
6 0
2
2 0
1 3
6
2
3 6
1 8
1 0
1 1
1
3
3 0
1 0
2
4 0
2 2
5
3
4 0
2 3
2
1 0
8
7
1 2
8 7
1 0
1
100
100
100
3
5 0
3 3
1 0
4
3 0
1 6
4
6 0
3 7
3
300
113
2 0
ocr
4
4 0
1 2
2
2 0
1 3
7
1
4 0
4 0
4 0
3
3 9
1 3
8
4
3 0
2 0
2
3 0
2 5
2 0
2
1
2 0
2 0
2 0
6
6 0
1 9
2
3
4 0
2 0
1
2 0
2 0
2 0
1
100
100
100
5
6 0
3 1
1 0
100
3 6
1
NOV
3
30
23
20
2
1
4
2 9
7
8
10
2
2
30
18
7
2
30
25
20
3
2 0
6
1
1
8
8
8
2
10
5
2
1
60
6 0
6 0
3
50
20
10
6 0
2 1
2
80
55
30
DEC
2
2 0
1 0
1
2
5 0
30
1 0
5
1 6
3
9
1 3
2
3
100
7 0
2 0
1
4 0
4 0
4 0
2
6
3
6
56
1 5
1
1
7
7
7
1
4 0
4 0
4 0
2
100
5 3
7
5
4 0
9
3
300
126
4 0
-------
122
TABLE 9. BARIUM—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) » 10-'
STATION LOCATION
EAST CHICAGO IND
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
CINCINNATI OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
MINNEAPOLIS MINN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
KANSAS CITY MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ST LOUIS MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NEK ORLEANS LA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HOUSTON TEXAS
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
BELLAIRE TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DENVER COL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SALT LAKE CITY UTAH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN FRANCISCO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PASADENA CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN JOSE CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN LEANORO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PORTLAND OREGON
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
55 56
55
54 55
55 56
55 56
54 55
54 55
54 55
54 55
54 55
55 56
55 56
55 56
55 56
54 55
JAN
6
3 0
8
2
3 0
1 8
7
1
3 0
2 0
2 0
4
2 1
1 1
2
2 0
2 0
2 0
2
100
5 0
3
4 0
1 4
2
2
3 0
2 0
2 0
3
4 0
1 5
3
2
1
8
8
8
3
1 0
5
1
3 0
3 0
3 0
FEB
5
3 0
8
1
1 0
1 0
1 0
2
3 0
2 8
2 7
2
5 0
4 0
3 0
3
200
7 5
5
5
4 3
2 1
3
3
9
6
4
3
2 0
1 1
2
2
30
2 0
1 0
2
2 0
1 4
8
2
1 0
5
2
1
3 0
2 0
2 0
MAR
1 4
200
3 7
3
6 0
4 0
2 0
1
7 0
7 0
7 0
3
1 6
1 0
6
3
1 0
6
6
7 0
1 5
3
3
3 0
2 0
2 0
2
100
7 S
5 0
2
2 0
1 1
3
2
1 0
S
1
9
9
9
2
2
20
1 0
3
3 0
1 3
APR
7
20
4
2
4 0
2 8
17
1
20
2 0
20
3
2 0
1 3
10
2
4
4 0
17
9
4
10
4
2
1 0
7
5
2
1 0
10
1 0
2
4
2
1
3 0
3 0
30
3
30
2 0
1 0
1
2 0
2 0
3 0
1
1 0
1 0
1 0
MAY
4
220
6 8
3
3
5 0
3 5
3
2 0
8
3
3 0
6
4
6 0
1 6
5
270
5 7
3
2
1 0
9
9
2
5 0
3 0
1 0
3
7
5
3
3
2 0
1 6
8
3
3 0
1 3
3
2 0
1 0
1
2 0
2 0
2 0
JUNE
6
40
1 2
3
6 6
4 3
2 0
2
20
10
2
30
1 9
8
2
4 0
30
20
4
40
20
10
6
5
3
2
3
4 0
2 1
3
2
4
4
4
3
20
1 5
10
2
5
2
3
20
6
2
4 0
4 0
4 0
JULY
1 0
3 0
1 1
2
3 0
18
6
2
9
8
8
2
3 0
1 5
6
9 0
3 4
7
4 0
1 3
3
1400
1300
1300
2
1 0
6
3
3
7
3
5
5 0
3 1
3
1 0
8
8
3
1 0
3
4
300
150
3
2 0
2 0
2 0
AUG
5
4 0
2 0
3
4 0
3 0
2 0
5
6 0
2 3
4
100
4 0
3
5 0
30
2 0
4
4 0
2 1
5
3
3 8
1 5
3
3
1300
843
30
2
9 0
6 5
4 0
2
7 0
6 0
5 0
2
1 0
5
3
3 4
2 5
1 0
4
3 0
2 5
2 0
7
5 0
3 3
SEPT
7
30
2 3
3 0
2
4 2
2 1
4
3 0
1 6
7
1
5
5
5
1
30
30
30
4
300
57
6
190
8 8
7
3
7 0
5 0
4 0
2
4 0
3 0
2 0
3
3 0
3 0
1 0
3
3 0
6
2
9
4
2
4 2
3 1
1
3 0
3 0
3 0
5
5 0
2 2
OCT
6
200
6 8
20
2
59
4 3
3 8
3
50
3 3
1
6
6
6
1
4
100
3 5
1 0
6
7 3
2 2
4
200
7 5
2 0
2
40
3 0
2 0
2
10
6
3
3
5
1
2
5
3
1
10
1 0
1 0
3
100
4 3
10
1
1 0
1 0
10
NOV
8
so
13
2
20
16
12
2
30
15
1
20
20
20
3
20
16
10
5
300
74
9
50
26
2
2
10
6
2
1
50
50
50
2
30
30
30
5
5
1
2
7
5 0
1 5
DEC
8
20
7
2
100
6 5
30
1
7
7
7
1
30
3 0
30
2
200
130
4 0
3
-200
83
7
1500
442
3
20
9
3
2
2 0
1 1
3
3
20
1 6
1 0
1
3
8
2
1
-------
TABLE 9. BARIUM—SUBURBAN STATIONS
(MICROGRAMS PER CUBIC METER) x Ifr1
123
STATION LOCATION
MIDDLESEX C N T Y MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Mi N 1 M U M
KANAWHA CO * VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DENVER COUNTY COLO
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
YEARS
5 5
5 5
54 55
JAN
£
9
4
1
FEB
1
9
9
9
3
5 0
1 6
1
2 0
2 0
2 0
MAR
2
5 0
2 5
2
3 0
2 5
2 0
1
APH
i
MAY
1
1 0
1 0
1 0
2
6 0
3 5
1 0
JUNE
3
9
3
1
JULY
2
3
1
4 0
4 0
4 0
AUG
3
3 0
1 3
1
4 0
4 0
4 0
SEPT
2 0
1 3
2
9 0
6 5
4 0
OCT
10
1 0
1 0
<;
2 0
1 0
2
3 0
3 0
3 0
NOV
1
£
20
10
1
20
20
20
1
20
20
20
DEC
20
6
1
1
1 0
1 0
1 0
486455 U -58 -9
-------
124
TABLE 10. BISMUTH—URBAN STATIONS
STATION LOCATION
WATERbURY CONN
BOSTON MASS
EVERETT MASS
ELIZABETH N J
PAULSBORO N J
CAMDEN N J
PERTH A M B 0 Y N J
TRENTON M J
JERSEY CITY N J
NEW YORK N Y
PHILADELPHIA PA
ALTOONn PA
BRISTOL PA
CHESTER PA
ERIE PA
PITTSBURGH PA
WILLIAMSPORT PA
WASHINGTON OC
LOUISVILLE KY
BALTIMORE MD
CHARLESTON w VA
TAMPA FLA
ATLANTA G«
CHATTANOOGA TENN
CHICAGO ILL
SITE
1
1
1
1
1
1
1
1
1
1
1
2
3
1
1
1
4
5
6
7
I
I
1
1
1
1
2
1
1
1
2
2
2
1
4
1
1
3
4
1
2
4
YEARS
5 5
5 ^
55 56
5 5
5 5
55 56
55 56
55 56
55 56
55 56
55 56
55 56
54 55
54 56
5 5
5 6
5 i 56
5 *
5 6
56
56
5 D
5 6
55 56
5 6
55 56
55 56
5 6
5 6
55 56
55 56
5 4
5 3
5 •* 55
5 4
5 5
54 55
5 <.
5 j
54 55
5 ~>
5 5
5 5
55 5o
5 5
5 5 56
5 5 56
5 5
5 i
5 b
5 j
No. OF
SAMPLES
1 4
2 2
3 6
2 3
2 6
2 0
2 3
1 9
2 1
1 6
2 1
2 1
1 8
3 9
9 4
1 1
105
1 1
9
1 1
1 1
9 4
5 3
147
1 3
1 8
1 b
2 5
2 1
2 3
1 7
1 7
2 1
3 8
1 3
1 0
2 3
3 1
3 1
6 2
1 8
1 6
2 1
1 6
1 4
1 B
3 2
2 6
2 0
2 9
7 7
MIN
2
2
2
(MICROGRAMS PER CUBIC METER) x 10°
MAX
3
3
3
4
1 6
6
4
9
7
1 9
6
2 5
2 5
6
3
6
6
2
2
3
6
6
6
2
2
4
3
1 0
4
2
5
3
5
5
3
5
4
2
3
2
3
3
3
1 7
8
1 0
1 7
AVG
2
1
1
2
1
3
2
2
3
2
5
3
2
1
2
1
1
1
2
1
1
1
1
2
1
2
2
1
1
2
1
2
1
3
3
2
FREQUENCY DISTRIBUTION— PERCENT
10
1
1
1
1
1
1
2
1
1
1
1
1
1
1
1
1
1
1
1
20
1
1
1
1
1
1
1
1
1
1
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
30
1
1
1
1
1
2
1
1
1
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
i
4O
2
1
1
1
1
2
2
1
2
2
3
2
2
1
2
1
1
1
1
2
1
1
1
1
2
1
2
2
1
1
1
2
1
1
1
2
2
1
50
2
1
1
1
1
1
2
2
2
2
2
2
4
3
2
1
2
1
1
1
1
2
1
2
2
1
2
1
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
2
1
2
1
2
3
2
60
2
2
2
1
1
1
2
2
3
2
2
3
4
3
2
2
2
1
1
1
2
2
1
2
2
1
2
1
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
2
1
3
3
2
70
2
2
2
1
1
2
2
3
3
2
3
3
5
4
2
2
2
2
1
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
2
1
2
2
2
1
4
4
-3
80
2
2
2
1
1
2
3
3
4
2
3
4
5
5
3
2
3
2
1
2
2
3
2
2
2
2
2
2
3
3
2
1
1
1
1
1
1
1
1
1
1
2
1
2
2
2
1
5
5
4
90
3
3
3
1
1
3
3
3
5
3
3
5
6
6
3
3
3
2
2
2
3
3
2
3
2
2
3
2
4
3
2
1
1
1
1
1
1
1
1
1
1
2
2
3
2
3
4
6
6
5
-------
TABLE 10. BISMUTH—URBAN STATIONS
125
STATION LOCATION
EAST ST LOUIS ILL
EAST CHICAGO 1 N D
CINCINNATI OHIO
MILWAUKEE WIS
MINNEAPOLIS MINN
KANSAS CITY MO
ST LOUIS MO
NE* ORLEANS LA
FT WORTH TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
DENVER COL
SALT LAKE CITY UTAH
ANCHORflGE ALASKA
SAN F°AN CISCO CALIF
PASADENA CALIF
SAN JuSE CALIF
SAN LEANDRO CALIF
PORTLAND OREGON
SEATTLE WASH
SITE
1
2
1
3
3
A
1
1
1
2
4
1
1
. 2
1
1
1
1
1
1
1
1
3
1
1
1
1
1
1
1
YEARS
55 50
5 .. 56
55 5 b
55 5 o
55 56
55 So
5b 56
55 56
5 5
c 7
D (
5 7
54 55
55 5 b
55 So
55 56
55 56
54 55
54 55
5 -. 55
54 55
5 4
5 :,
5 n 55
5 4
5 -j
54 55
54 55
54 55
54 55
55 56
55 56
55 56
55 56
54 55
5 7
No. OF
SAMPLES
1 5
1 4
3 9
1 9
2 6
3 1
2 0
8 6
2 3
1 2
1 9
2 1
1 8
9
Z 7
2 3
2 4
3 2
4 6
3 4
a
5 6
6 4
1 7
1 4
3 1
3 3
2 6
1 3
3 2
2 0
3 5
3 0
2 0
2 0
(MICROGRAMS PER CUBIC METER) x 10°
MIN
MAX
4
4
2 0
6
8
5
2 0
9
3
3
3
3
2
1
1
1
3
4 0
4 0
2
2
3
4
3
1
2
3
2
2
1 1
AVG
1
3
2
2
1
2
2
1
1
1
1
1
FREQUENCY DISTRIBUTION— PERCENT
10
20
1
1
1
1
1
30
1
1
1
1
1
1
1
1
1
1
1
1
40
1
1
2
1
1
1
1
1
1
1
1
1
1
1
1
1
SO
1
1
1
3
2
1
1
2
2
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
60
1
1
1
3
3
2
1
3
3
1
1
1
1
1
3
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
70
3
1
1
4
-3
•3
2
-j
2
i
i
i
i
i
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
1
1
1
80
2
1
1
5
3
4
3
4
3
1
1
1
1
1
3
1
1
1
2
1
1
1
1
1
1
1
1
1
1
2
2
2
1
1
90
2
1
2
6
4
5
4
5
3
g
1
1
2
1
2
2
1
1
1
2
1
1
1
1
1
1
1
1
3
1
2
2
2
1
2
-------
126
TABLi 10. BISMUTH—URBAN STATIONS— TOTALS
STATE OR REGION
CONNECTICUT TOTAL
MASSACHUSETS TOTAL
NEW JERSEY TOTAL
NEW YORK TOTAL
PENNSYLVANIA TOTAL
DIS COLUMBIA TOTAL
KENTUCKY TOTAL
MARYLAND TOTAL
WEST VIRGINA TOTAL
FLO-RIDA TOTAL
GEORGIA TOTAL
TENNESSEE TOTAL
ILLINOIS TOTAL
INDIANA TOTAL
OHIO TOTAL
WISCONSIN TOTAL
MINNESOTA TOTAL
MISSOURI TOTAL
LOUISIANA TOTAL
TEXAS TOTAL
COLORADO TOTAL
UTAH TOTAL
ALASKA TOTAL
CALIFORNIA TOTAL
OREGON TOTAL
WASHINGTON TOTAL
NEW ENGLND TOTAL
MID ATLNTC TOTAL
MID EAST TOTAL
SOUTH EAST TOTAL
MID WEST TOTAL
CRT PLAINS TOTAL
GULF SOUTH TOTAL
ROCKY MNTN TOTAL
PAC COAST TOTAL
GRAND TOTAL
YEAES
55 56
5 5
55 56
54 56
55 56
55 56
54 55
5 7
5 5
55
55 56
55 56
55 56
55 56
55 57
57
54 55
55 56
54 55
54 55
54 55
54 55
54 55
55 56
54 55
5 7
55 56
54 56
54 57
55 56
55 57
54 56
54 55
54 55
54 57
54 57
No. OF
SAMPliS
3 6
4 9
120
39
265
I 7
62
1 8
1 6
2 1
1 6
3 2
106
86
3 5
1 9
2 1
5 0
4 6
119
2 3
2 6
1 3
107
2 0
2 0
8 5
424
113
6 9
246
7 1
165
4 9
160
1382
(MICROGRAMS PER CUBIC METER) x 10 J
M:N
MAX
3
4
19
2 5
1 0
2.
5
4
2
3
2
3
17
2 0
9
2
3
1
4 0
3
4
3
3
2
1 1
4
2 5
5
3
2 0
3
4 0
4
1 1
4 0
AVG
1
2
3
1
1
1
2
2
2
1
1
2
1
1
1
FREQUENCY DISTRIBUTION— PEHCENT
10
1
1
20
1
1
2
1
1
1
1
30
1
1
2
1
1
1
1
1
1
1
1
1
1
1
1
4O
1
1
3
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
SO
1
1
2
3
2
1
1
1
1
2
1
2
1
1
1
1
1
1
1
1
1
1
1
1
1
2
1
1
1
1
1
1
1
60
2
1
2
3
2
1
1
1
1
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
2
1
1
2
1
1
1
1
70
2
1
2
4
2
2
1
1
2
2
2
3
2
1
1
1
1
1
1
1
1
1
1
1
1
2
1
2
2
1
1
1
2
30
2
1
3
5
2
2
1
1
2
2
3
4
2
1
1
2
i
1
1
1
1
1
1
1
2
3
1
2
3
1
1
1
2
90
3
1
3
6
3
2
1
1
2
3
5
5
3
1
1
2
1
1
1
1
3
2
1
2
2
3
1
2
5
2
1
2
3
-------
TABLE 10. BISMUTH— SUBUKBAN AND NONURBAN STATIONS
127
STATION LOCATION
SUBURBAN
MIDDLESEX C 1* T ¥ » » i :
LAKEHURST M J
K A N ft * n A C * « * *
DENVER C O U W IV CiLO
GRAND TOTAL
NONURBAN
PT WORONZOF ALASKA
SITE
; i
i
i
i
-L
YEAKS
5 5
55 bo
55
54 5 'j
54 So
55 56
No. OF
SAMPLES
<3 3
1 7
1 7
1 0
6 7
1 2
(MOOGRAMS PER CUBIC METES) x TCH
MiN
MAX
3
3
AVG
1
R!EQUB«CY DISTRIBUTION— PStOEWT
10
20
30
1
40
50
1
1
1
1
j
60
1
1
1
1
1
70
1
1
1
1
1
so
i
2
1
1
1
90
1
3
1
1
1
-------
128
TABLE 10. BISMUTH—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 1OJ
STATION LOCATION
WATERBURY CONN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
ELIZABETH N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PAULSBORO N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CAMDEN N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PERTH AMBOY N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TRENTON N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
JERSEY CITY N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NEW YORK N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PHILADELPHIA PA
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
ALTOONA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BRISTOL PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHESTER PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ERIE PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
PITTSBURGH PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
WILLIAM SPORT PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
WASHINGTON DC
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
YEARS
55 56
55 56
55 56
55 56
55 56
55 56
55 56
54 56
55 56
56
55 56
55 56
5 6
5 6
55 56
55 56
JAN
2
2
1
3
2
1
2
6
4
3
2
2
2
2
3
4
3
2
3
2
2
1 9
1 0
2
1
6
6
6
1 7
6
2
3
2
2
2
3
2
3
2
1
2
2
2
FEB
2
2
2
2
2
2
2
2
4
3
1
3
4
3
2
1
2
2
3
2
5
3
2
3
4
3
2
3
3
2
1
1 3
3
1
1
2
2
2
1
3
2
2
1
2
2
2
1
2
2
2
3
2
1
3
3
2
2
2
2
1
MAR
4
2
1
2
1 6
9
3
2
2
4
4
4
3
5
4
3
1
2
2
2
3
3
3
3
1
3
3
3
1 3
2
1
1
2
2
2
1
2
2
2
2
2
2
3
3
4
3
2
1
3
3
3
APR
5
3
2
2
5
2
1
4
4
3
3
1
2
2
2
4
9
3
3
3
3
2
4
7
4
2
1 3
3
1
2
2
2
2
1
2
2
2
2
3
3
2
1
2
4
3
2
1
MAY
3
3
1
1
2
3
3
2
3
1
1
3
2
3
1
3
3
3
1 8
6
3
3
3
2
2
2
2
1
2
2
1
2
3
1
3
3
2
2
3
2
JUNE
3
3
3
1
1
3
2
2
1
2
2
2
1
2
2
2
2
2
2
2
7
5
3
2
1 2
3
2
2
2
2
2
2
1
2
2
2
3
3
2
2
2
3
2
2
2
2
2
2
JULY
3
2
2
2
1
4
3
1
1
2
2
2
1
2
2
2
2
2
2
1
4
4
3
3
1 3
4
1
2
2
3
3
3
2
2
2
1
1
1
1
3
3
2
2
1
1
2
2
2
AUG
4
2
2
2
1
1
1
2
3
3
2
2
2
1
1
2
2
2
2
3
1
4
4
2
1
1 3
4
2
1
2
2
2
1
1
1
1
3
3
2
2
1
3
2
2
3
2
SEPT
1
1
1
1
1
3
3
3
3
1
2
2
2
2
4
3
2
1 0
3
1
2
2
1
4
2
1
4
4
3
2
3
2
1
1
2
3
3
3
3
3
3
3
2
2
1
OCT
4
3
2
2
2
1
2
3
2
2
2
3
2
2
1
3
3
3
3
6
4
4
8
3
2
2
2
2
2
2
2
1
1
1
2
2
2
4
1
2
3
2
2
2
4
2
1
2
2
2
NOV
3
2
2
2
1
2
2
2
3
3
3
3
1
2
2
2
1
3
3
3
4
6
5
3
8
3
3
1
2
3
3
3
2
2
2
2
2
1
1
3
10
6
2
3
3
2
2
1
2
2
2
DEC
3
3
3
3
2
3
1
1
3
3
3
2
2
3
3
2
5
3
3
7
3
3
3
3
3
5
2 5
6
9
4
2
2
3
2
2
2
1
3
2
3
3
1
1
3
2
2
2
2
1
-------
TABLE 10. BISMUTH—URBAN AND SUBURBAN STATIONS
(MICROGRAMS PER CUBIC METER) x Ifr5
129
STATION LOCATION
TAMPA FLA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHATTANOOGA TENN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHICAGO ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EAST ST LOUIS ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EAST CHICAGO IND
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CINCINNATI OHIO
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
ST LOUIS MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
FT WORTH TEXAS
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
HOUSTON TEXAS
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
PASADENA CALIF
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
SAN JOSE CALIF
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 U U M
SAN LEANDRO CALIF
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
SEATTLE HASH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SUBURBAN
LAKEHURST N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
5 5
55 56
55
55 56
55 56
5 5
55 56
54 55
54 55
55 56
55 56
55 56
57
55 56
JAN
2
2
1
1
2
2
2
2
2
1
4
2
1
6
6
2
2
2
2
2
2
2
S
2
2.
2
1
1
2
2
2
2
1
3
2
2
2
2
1 1
5
2
2
Z
2
FEB
1
5
2
1
1
3
5
4
4
2
5
5
3
2
2
2
2
2
3
2
1
5
2
2
1
2
2
2
2
1
2
1
1
1
1
MAR
1
2
2
2
3
3
1
1
6
5
2
2
4
2
1 4
5
2
2
7
5
3
2
1
1
1
6
1
2
2
2
2
2
2
1
1
2
1
APR
3
3
1
2
2
2
2
3
4
2
2
2
1
7
4
1
2
3
2
2
2
2
2
2
2
2
1
4
3
2
1
2
2
2
2
2
1
2
2
1
MAY
2
2
2
2
2
3
2
2
8
6
2
2
4
2
3
1
3
2
2
2
2
5
3
3
2
3
2
1
2
2
2
3
2
2
2
1
1
JUNE
1
1 1
7
2
3
2
6
6
1
2
2
2
1
2
6
2
1
3
2
2
2
2
2
1
3
3
3
JULY
2
3
2
2
1
2
2
2
9
3
1
1
2
2
2
1 0
2 0
4
2
2
2
2
2
2
1
2
3
2
2
7
3
2
1
3
2
1
4
2
2
1
1
AUG
2
4
2
1
6
5
1
4
2
5
5
2
3
3
1
3
2
2
2
2
2
1
1
3
3
2
2
2
4
2
2
SEPT
3
2
4
3
2
2
4
7
5
2
3
2
7
5
1
2
2
1
1
2
2
2
2
1
6
2
2
1
1
2
3
3
3
1
3
9
3
2
2
1
ocr
i
5
3
2
2
1 0
1 7
4
1
6
8
4
1
2
9
4
1
2
2
2
2
2
1
1
6
4 0
7
2
2
1
1
1
2
2
2
3
2
1
1
NOV
2
2
2
2
3
3
2
2
10
5
1
2
8
6
2
2
3
2
2
3
2
2
2
2
2
9
2
2
1
7
2
1
2
2
1
DEC
1
2
3
2
2
5
6
2
3
8
7
2
2
3
1
2
2
1
2
2
2
2
7
3
2
1
1
2
2
2
-------
130
TABLE 11. CADMIUM—URBAN STATIONS
STATION LOCATION
VV A T £ R a u R Y CONN
BOSTON MASS
EVERETT MASS
ELIZnBETH N J
PAULSBORO N J
C A M 0 E N N J
PERTH AMBOY N J
TRENTON N J
JERSEY CITY N j
NEW YORK N Y
PHILADELPHIA PA
ALTOONA PA
BRISTOL PA
CHESTER PA
ERIE P »
PITTSBURGH PA
IVILLIAMSPORT PA
WASHINGTON DC
LOUISVILLE KY
BALTIMORE M D
CHARLESTON W VA
TAMPA FLA
« T L A N T A GA
CHnTTANOOGA TENN
CHICAGO ILL
EAST ST LOUIS ILL
SITE
1
1
1
1
1
1
1
1
1
1
1
2
3
1
1
1
4
5
6
7
1
1
1
1
1
1
2
1
1
1
a
2
2
1
4
1
1
3
4
1
2
4
1
2
YEARS
5 S
5 6
55 56
5 5
5 5
55 56
55 56
55 56
55 56
55 56
55 56
55 56
54 55
54 56
5 5
56
55 56
5 6
5 6
5 6
56
5 5
56
55 56
56
55 56
55 56
5 6
5 6
55 56
55 56
5 4
5 5
54 55
5 J
5 5
54 55
54
5 5
54 55
5 7
5 5
5 5
55 56
5 5
55 56
5 :.- 56
5 5
5 5
5 5
5 5
55 56
5 r) 56
55 56
No. OF
SAMPLES
1 4
2 2
3 6
2 3
2 6
2 0
2 3
1 9
2 1
1 6
21
21
1 8
3 9
9 4
1 1
105
1 1
9
1 1
1 1
9 4
5 3
147
1 3
1 8
1 6
2 5
3 1
2 3
1 7
1 7
2 1
3 U
1 3
1 0
2 3
3 1
3 1
6 2
1 8
1 6
2 1
1 6
1 4
1 b
3 2
3 8
2 0
2 9
7 7
1 5
1 4
2 9
(M1C8OGRAMS PER CUBIC METER) x 1(H
MIN
2
1
2
2
1
3
2
2
1>
2
2
MAX
1 0
1 0
1 0
3
7 0
5
6
7
1 2
6
1 2
2 9
4 3
4 3
1 1
7
1 1
140
14
6
4 2
1 1
140
140
3
8
7
5
1 0
6
5
3 8
2 6
3 8
6
1 6
1 6
3 8
2 6
3 8
3 4
3
6
3 0
4
7
7
199
4 0
100
199
7 0
2 0
7 0
AVG
i
i
t
1
7
2
2
3
3
2
3
7
5
6
3
4
3
1 7
5
2
8
3
7
4
2
2
2
2
4
2
2
7
8
7
3
3
3
5
6
6
3
1
2
6
1
2
3
1 2
1 6
9
1 2
1 7
5
1 1
FREQUENCY DISTRIBUTION — P&CBf!
10
]
1
1
1
1
1
1
1
1
1
1
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
1
1
1
1
1
1
1
1
1
1
2
3
1
1
3
1
2
20
2
2
2
1
1
1
1
C
1
1
2
2
2
2
1
2
1
2
2
1
2
1
1
1
1
1
1
1
2
1
1
1
3
2
2
1
1
1
2
1
1
1
1
1
1
1
2
5
2
2
4
2
2
30
2
2
1
1
1
1
£
1
1
2
3
2
2
2
2
2
2
3
1
2
2
2
2
1
1
1
1
2
2
1
2
4
3
2
1
1
2
3
2
1
1
2
1
1
1
3
6
2
3
5
2
3
4O
3
2
3
1
2
2
1
2
2
1
2
3
3
3
3
3
2
3
3
1
2
2
2
2
1
1
2
1
3
2
1
3
4
4
2
1
2
2
4
3
1
1
2
1
2
1
3
7
3
4
6
2
4
SO
4
3
3
1
2
2
2
2
2
3
3
5
3
3
3
4
3
3
4
2
3
3
3
2
3
1
2
2
4
2
2
3
5
5
2
2
3
3
4
3
1
2
2
3
2
2
2
4
9
4
6
1 0
3
5
60
4
4
4
1
T
2
2
3
3
3
3
6
3
4
2
4
3
6
4
2
4
2
4
3
3
2
2
2
5
2
2
4
5
5
3
3
3
3
5
4
1
2
2
5
2
2
2
5
1 0
6
7
1 0
3
6
70
7
5
5
2
4
3
£
1
3
3
4
7
4
5
3
5
3
9
6
2
5
3
5
4
3
3
3
2
5
3
2
6
6
6
3
4
3
5
6
5
1
2
3
6
2
4
3
8
2 1
7
9
2 1
5
1 0
SO
7
8
2
5
3
3
4
4
4
4
1 4
4
6
4
5
4
1 0
6
2
8
4
6
5
2
3
3
2
6
3
3
7
1 2
8
3
5
4
6
1 0
7
1
2
2
8
2
4
3
9
30
8
1 0
22
6
20
90
8
1 0
9
2
6
4
4
5
7
4
7
1 5
5
1 4
5
6
5
1 9
9
5
1 5
5
1 0
7
3
4
4
3
7
5
3
8
2 2
3 3
5
7
6
7
3 1
1 7
1
3
3
3 1
3
5
5
1 0
3 8
10
3 2
4 1
1 0
2 2
-------
TABLE 11. CADMIUM—URBAN STATIONS
131
STATION LOCATION
EAST CHICAGO 1 N 0
CINCINNATI OHIO
YOUNGSTOWN OHIO
MILWAUKEE iVIS
MINNEAPOLIS MINN
KANSAS CITY MO
ST LOUIS MO
NEW ORLEANS LA
FT WORTH TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
DENVER COL
SALT LAKE CITV UTAH
ANCHORAGE ALASKA
SAN FRANCISCO CALIF
PASADENA CALIF
SAN JOSE CALIF
SAN LEANDRO CALIF
PORTLAND OREGON
SEATTLE WASH
SITE
1
2
3
4
1
1
1
1
2
1
1
3
1
1
1
1
1
1
2
1
1
1
1
1
1
1
YEARS
55 56
5 5 56
55 56
55 56
55 56
5 5
5 7
5 7
54 55
55 56
c .: c; fi
D D DO
55 56
55 56
54 55
54 55
54 55
54 55
54 55
5 4
5 5
54 55
54 55
54 55
54 55
55 56
55 56
55 56
55 56
54 55
5 7
No. OF
SAMPLES
1 9
2 6
2 1
2 0
8 6
2 3
1 2
1 9
2 1
1 8
Q
2 7
2 3
2 4
2 2
4 6
2 4
6 4
1 7
I 4
3 1
2 3
2 6
1 "^
J_ J>
3 2
2 0
2 5
3 0
2 0
2 0
(MICROGRAMS PER CUBIC METER) x 1Q-1
MIN
1
2
2
2
2
1
MAX
2 0
2 0
2 0
3 0
3 0
140
7 0
4 3
4
9
9
3 0
5
1 0
1 0
3
599
5
5
5
7 0
2 0
3
7
5
6
2 0
1 0
AVG
B
7
4
6
6
1 2
1 6
4
1
3
2
7
1
1
1
1
1 1
2
1
2
1 1
3
2
1
3
6
FREQUENCY DISTRIBUTION— PERCENT
10
2
1
1
1
1
2
1
1
1
2
1
1
1
1
20
3
2
2
1
2
2
1
1
2
1
3
1
1
1
1
1
1
1
2
2
30
4
3
2
2
2
3
1
1
2
1
3
1
1
1
1
1
3
1
1
1
2
3
40
7
4
3
2
3
3
3
1
1
2
2
4
1
1
1
1
1
2
1
1
3
1
1
2
1
2
4
50
9
5
3
3
4
4
1 4
1
2
3
2
5
1
1
1
1
2
2
1
2
6
1
1
2
1
2
4
1
60
9
7
3
4
5
5
1 5
1
2
3
2
5
1
1
1
2
2
2
2
2
B
3
1
2
2
3
5
1
70
9
8
4
5
7
•7
2 1
1
2
4
3
7
1
1
1
2
3
2
2
2
1 0
4
1
2
2
3
7
1
80
10
10
5
7
10
9
3 8
1
2
5
4
8
1
3
1
2
3
4
3
3
10
5
2
3
2
4
8
1
90
2 0
2 0
1 0
2 2
2 0
2 1
3 6
2 2
3
6
2
5
2 2
2
2
2
2
5
4
4
4
3 0
5
3
3
3
5
1 0
1
-------
132
TABLE 11. CADMIUM—URBAN STATIONS—TOTALS
STATE OR REGION
CONNECTICUT TOTAL
MASSACHUSETS TOTAL
NEW JERSEY TOTAL
NEW YORK TOTAL
PENNSYLVANIA TOTAL
CIS COLUMBIA TOTAL
KENTUCKY TOTAL
MARYLAND TOTAL
WEST VIRGINA TOTAL
FLORIDA TOTAL
GEORGIA TOTAL
TENNESSEE TOTAL
ILLINOIS TOTAL
INDIANA TOTAL
OHIO TOTAL
WISCONSIN TOTAL
MINNESOTA TOTAL
MISSOURI TOTAL
LOUISIANA TOTAL
TEXAS TOTAL
COLORADO TOTAL
UTAH TOTAL
ALASKA TOTAL
CALIFORNIA TOTAL
OREGON TOTAL
WASHINGTON TOTAL
NEW ENGLNO TOTAL
MID ATLNTC TOTAL
MID EAST TOTAL
SOUTH EAST TOTAL
MID WEST TOTAL
CRT PLAINS TOTAL
GULF SOUTH TOTAL
ROCKY MNTN TOTAL
PAC COAST TOTAL
GRAND TOTAL
YEARS
55 56
5 5
55 56
54 56
55 56
55 56
54 55
57
5 5
55
55 56
55 56
55 56
55 56
55 57
5 7
54 55
55 56
54 55
54 55
54 55
54 55
54 55
55 56
54 55
5 7
55 56
54 56
54 57
55 56
55 57
54 56
54 55
54 55
54 57
54 57
No. OF
SAMPLES
3 6
4 9
120
3 9
265
1 7
6 2
1 8
1 6
2 1
1 6
3 2
106
86
3 5
19
2 1
5 0
4 6
119
2 3
2 6
1 3
107
2 0
2 0
8 5
424
113
6 9
246
7 1
165
4 9
160
1382
(MICROGRAMS PER CUBIC METER) x 10°
MIN
1
MAX
1 0
70
1 2
4 3
140
5
38
3 4
3
6
30
7
199
30
140
4 3
4
30
1 0
599
7 0
2 0
7
2 0
1 0
70
140
38
30
199
3 0
599
7 0
2 0
599
AVG
4
4
2
6
3
2
6
3
1
2
6
2
1 2
6
1 3
4
1
5
1
7
1 1
3
1
6
4
3
4
3
9
4
5
6
2
5
FREQUENCY DISTRIBUTION— PERCENT
10
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
20
C
1
1
2
1
1
1
1
1
1
1
2
2
2
1
1
1
1
1
2
1
1
1
1
2
1
1
1
30
£
i
i
£
i
i
£
i
i
2
1
3
2
3
1
2
1
3
1
1
3
1
2
1
1
2
1
1
1
1
1
40
3
1
2
3
2
1
3
1
1
2
1
4
3
3
1
1
2
1
1
3
1
1
4
2
2
2
1
3
2
1
2
1
2
SO
3
£
£
T
2
2
3
1
2
2
i
2
5
4
4
1
2
3
1
1
6
1
2
4
1
2
2
2
2
4
2
1
3
1
2
60
4
2
2
4
2
2
4
J
2
2
tr
£
7
C
7
1
C
<:
1
2
8
•3
a
c
1
-x
3
T
2
6
3
2
4
2
70
5
2
3
5
3
2
5
1
2
£
6
C
g
7
1 0
1
2
5
1
2
1 0
4
2
7
1
4
3
4
2
9
4
2
5
2
T
80
7
3
4
6
^
3
7
1
£
£
8
3
10
10
20
1
2.
6
1
3
10
5
3
8
1
5
4
5
4
10
5
2
9
3
5
90
9
5
5
1 4
6
3
1 7
1
3
3
2 1
5
2 2
2 0
2 8
22
3
9
2
4
30
5
4
1 0
1
8
6
8
6
2 1
8
4
20
5
9
-------
TABLE 11. CADMIUM—SUBURBAN AND NONURBAN STATIONS
133
STATION LOCATION
SUBURBAN
MIDDLESEX C N T Y MASS
LAKEHURST N J
KANAWHA CO W VA
DENVER COUNTY COLO
GRAND TOTAL
NONURBAN
PT WORONZOF ALASKA
SITE
1
1
1
1
1
YEARS
5 5
55 56
5 5
51 b 5
5 A 5 6
55 56
No. OF
SAMPLES
2 3
1 7
1 7
} o
h 7
1 3
(MOOGRAMS PER CUBIC METER) x W
MIN
MAX
3
3
3
4
4
1
AVG
1
1
1
1
FREQUENCY DISTRIBUTION— PERCENT
10
20
30
1
1
1
4O
1
1
1
1
1
SO
1
1
1
1
1
60
1
1
1
1
1
70
1
1
1
2
1
80
2
2
2
2
2
90
2
2
2
3
2
-------
134
TABLE 11. CADMIUM—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) ji 10-3
STATION LOCATION
WATERBURY CONN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BOSTON MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EVERETT MASS
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
ELIZABETH N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PAULSBORO N U
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CAMOEN N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PERTH AMBOY N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TRENTON N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
JERSEY CITY N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
NEW YORK N Y
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
PHILADELPHIA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ALTOONA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BRISTOL PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHESTER PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ERIE PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
PITTSBURGH PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N ! M U M
YEARS
55 56
5 5
5 5
55 56
55 56
55 56
55 56
55 56
55 56
54 56
55 56
5 6
55 56
55 56
56
5 6
JAN
2
2
1
1
3
3
3
3
5
3
3
5
3
1
2
6
5
5
2
6
4
3
3
3
1
3
2
1
2
4
3
2
1
2 9
2 9
2 9
1 7
1 5
5
3
2
2
2
3
5
4
2
FEE
2
3
3
3
2
2
1
3
7 0
2 4
2
2
2
2
4
3
1
3
4
3
2
1
2
2
2
2
4
3
2
3
1 2
7
4
3
1 5
8
3
1 3
6
2
1
3
3
3
1
2
2
2
1
2
2
2
1
2
2
2
3
4
3
2
MAR
4
4
3
2
4
1
3
5
2
2
3
2
2
2
4
3
2
2
3
2
2
3
1 2
5
2
1
3
3
3
3
4
3
3
1
2
2
2
1 3
9
3
1
1
4
4
4
2
2
2
2
3
1 0
6
3
APR
S
7
3
2
1
1
2
2
2
5
4
2
1
4
4
2
1
2
2
2
4
6
2
3
3
2
2
4
4 3
1 3
3
1 3
7
3
1
2
2
2
2
1
1
1
1
2
3
2
2
3
2
1
MAY
3
5
3
3
1
2
2
2
2
4
4
4
1
2
2
2
2
2
2
2
1
1
1
1
1
3
3
3
1 8
140
1 0
3
3
2
2
2
3
2
1
3
2
1
JUNE
3
7
3
2
2
2
2
2
3
4 0
1 6
2
1
2
2
2
1
2
2
2
1
2
2
2
2
7
5
4
7
15
5
2
1 2
9
4
2
2
7
3
1
2
2
2
3
6
4
3
JULY
3
1 0
7
5
2
2
1
3
4
2
1
1
1
1
4
2
1
1
5
5
5
1
2
2
2
2
2
1
1
3
2
1
4
4
2
2
1 3
1 4
3
2
2
3
2
2
2
2
2
2
1
2
2
2
2
AUG
4
1 0
5
3
4
2
2
2
2
2
1
2
5
3
1
1
2
7
6
5
2
3
2
2
1
2
4
3
3
4
1 6
6
1 3
8
3
2
1
3
3
3
1
3
4
3
3
SEPT
1
8
8
8
1
2
2
2
2
3
2
2
1
3
3
3
3
3
2
2
1
2
2
2
2
1 5
9
4
1 0
1 8
4
2
3
2
1
4
8
3
4
6
3
2
3
4
2
2
2
7
6
5
OCT
4
1 0
5
4
3
3
2
2
1
2
3
1
2
2
2
2
2
4
3
3
1
6
6
6
3
6
5
5
8
5
2
2
3
2
1
2
2
2
2
1
4
3
2
3
2
3
7
6
NOV
3
10
7
3
3
3
2
2
1
20
2 0
20
1
3
3
3
3
9
6
3
1
2
2
3
1
3
3
3
4
10
4
2
8
5
2
2
1
3
3
3
2
5
4
4
3
5
4
3
2
5
4
3
DEC
2
1 0
9
8
1
3
3
3
3
2
4
3
3
1
3
3
3
2
5
3
2
2
4
3
2
3
5
4
3
2
3
2
2
5
7
3
9
4 2
8
2
2
2
1
1
4
4
4
3
2
^
1
1
^
4
4
-------
TABLE 11. CADMIUM—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x !0-!
135
STATION LOCATION
WILLIAMSPORT PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
WASHINGTON OC
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
LOUISVILLE KY
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHARLESTON W VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TAMPA FLA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
ATLANTA GA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
CHATTANOOGA TENN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHICAGO ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
EAST ST LOUIS ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
EAST CHICAGO IND
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CINCINNATI OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
YOUNGSTOHN OHIO
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
MILWAUKEE WIS
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
MINNEAPOLIS MINN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
KANSAS CITY MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ST LOUIS MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
55 56
55 56
54 55
5 5
5 5
55 56
JAN
1
2
3
i3
2
a
3
2
2
1
2 0
! 2 0
55 56
5 5
55 56
55 56
5 5
57
5 7
54 55
55 56
55 56
2 0
I
2
2
2
2
4
1 0
5
3
6
5
3
Z
A
3
3
2
1
2
2
2
4
9
4
2
2
3
2
2
FEE
3
3
2
2
0
3
3
2
3
6
5
4
1
2
s
2
1
2
2
*
1
8
3
a
5
3
1
3
100
3 9
7
2
1 0
6
3
5
8
5
3
2
4 3
2 1
1
2
6
4
3
2
2 0
1 2
5
MAK
1
2
2
2
1
2 6
2 6
2 6
1
3
3
3
1
2
g
2
3
3 0
1 1
3
4
2
2
6
1 0
5
2
2
2 0
1 1
2
1 4
2 0
1 0
2
1 0
6
3
1
2
1
2
2
2
3
3
2
2
APE
2
3
2
3
1
2
Q
2
1
6
6
i
3
2
1
2
2 0
1 0
2
2
1
3
2 0
1 0
2
5
S
5
7
3 0
1 0
3
2
6
5
4
2
2 6
2 3
2 0
3
29
9
1
2
2
2
3
3
1
2
5
4
3
MAY
3
6
3
2
3
3
1
1
5
5
5
2
2
2
2
2
2
1
1
1
]_
1
2
6
4
2
8
4 0
8
2
2 0
1 1
2
4
2 0
9
3
2
5
4
3
1
3
3
3
2
3
4
1
3
7
S
3
JUNE
2
3
1
2
4
3
^
JULY
1
2
2
2
1
3
3
3
'• 1 ] 3
,-: i d 3
7
: 's
1 1 1
1
2
2
2
1
3
j
3
2
2
1
3
3
1
-j
! 2
1 1
9
c
3
3
1 0
6
3
6
2 0
5
2
8
6
4
1
1
2
1
2
3
2
2
2
8
6
4
2
2
9
1 0
3
1
4 0
4 0
4 0
1 0
1 4
4
2
3
2
2
2
1 S
7
2
2
5
3
1
2
9
5
2
AUG
1
2
2
2
3
2
2
2
1 3
1 0
3
1
2
2
2
2
6
4
2
1
4
4
4
4
2
1
6
3 0
9
2
4
7 0
3 1
4
5
6
2
1
3
7
4
2
2
7 0
4 2
1 5
2
5
2
2
2
4
5
3
1
3
3 0
2 1
4
SEPT
3
6
3
2
2
5
3
2
1 2
2 5
4
1
3
3
3
3
6
3
2
4
3
2
2
4
4 0
2 3
3
3
2 0
1 0
2
7
2 0
7
3
2
9
5
2
1
2
2 0
1 0
4
3
1
1
2
2
2
1
7
7
7
OCT
2
3
2
2
1
2
2
2
6
7
4
3
3
2
2
1
3
3
3
1
6
6
6
5
5
3
2
1 0
199
2 7
1
2
2
2
6
3 0
1 3
6
2
140
7 2
4
2
3 3
2 6
2 0
1
3
2
2
2
1
2
2
2
1
3
3
3
NOV
3
5
3
2
1
1
4
4
4
2
2
1
2
2
2
2
1
7
7
7
3
4
2
2
10
4 0
1 3
3
2
6
4
3
8
6
3
2
2
10
6
3
2
4
3
2
1
2
2
2
3
5
5
5
DEC
2
6
4
2
6
3 8
9
2
1
3
3
3
1
2
2
2
1
2
2
2
2
7
5
3
5
2 0
1 0
5
3
9
5
2
8
1 0
5
1
2
2 0
2 0
2 0
1
3
3
3
1
8
8
8
2
1 0
7
4
-------
136
TABLE 11. CADMIUM—URBAN AND SUBURBAN STATIONS
IMICROGRAMS PER CUBIC METERI x 10'3
STATION LOCATION
NEW ORLEANS LA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
FT WORTH TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HOUSTON TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BELLAIRE TEXAS
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
DENVER COL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SnLT LAKE CITY UTAH
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
MINIMUM
SAN FRANCISCO CALIF
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
MINIMUM
PASADENA CALIF
NUMBER OF SAMPLES
MAXIMUM
A J E R A G E
MINIMUM
SAN JOSE CALIF
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
MINIMUM
SAN LEANDRO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PORTLAND OREGON
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SUBURBAN
MIDDLESEX CNTY MASS
NUMBER OF SAMPLES
M A X 1 M U I.I
AVERAGE
Ml n 1 M U M
LAKEHUH"! N J
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
M 1 N 1 M U M
K A N A w H A co // VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
M 1 N 1 MUM
UENVER COUNTY COLO
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 V U M
YEARS
54 55
54 55
54 55
54 55
54 55
54 55
55 56
55 56
55 56
55 56
54 55
5 5
55 56
5 5
54 55
JAN
2
2
2
2
2
3
2
2
8
5
3
3
1 0
5
3
3
2
2
2
3
2
2
1
2
2
2
3
3
2
2
1
2 0
2 0
2 0
2
2
1
2
1
I
FEB
3
2
1
2
2
2
2
5
3
2
2
2
2 0
1 2
5
2
2 0
1 1
3
2
2
1
2
3
1
2
2
1
1
2
2
2
^
1
1
1
1
1
3
3
1
1
£
2
2
MAR
3
2
1
2
2
2
2
6
8
3
3
5
4
3
2
2 0
1 5
1 0
2
5
2
2
1
3
3
3
2
2
3
2
2
3
5
2
1
2
2
1
1
2
1
2
2
2
2
1
APR
4
2
2
2
1
1
4
4
1
2
3
2
2
2
3
1
2
4
4
4
1
3
3
2
2
1
2
2
2
1
1
1
1
2
2
1
1
MAY
4
2
2
1
5
2
2
2
2
2
6
4
3
2
3
2
3
3
2
2
3
4
3
2
1
2
2
2
1
2
1
2
2
2
2
JUNE
4
2
2
1
1
1
6
3
2
1
2
5
2
2
4
2
2
2
1
2
2
1
3
2
1
2
5
5
S
3
2
1
1
2
2
2
1
2
2
2
JULY
6
2
1
2
3
2
2
7
5
2
2
5
5
5
2
2
5
3
3
7
3
2
3
2
4
4
3
2
2
4
3
3
2
3
1
1
3
1
AUG
4
1 0
2
2
2
2
2
3
4
3
3
3
2
2
2
2
7 0
39
8
2
2
3
1
3
2
2
2
4
6
4
3
7
8
5
2
3
1
1
2
2
2
SEPT
4
1
1
1
2
2
2
2
6
7
3
3
2
2
2
2
1 0
5
2
3
2
3
2
2
2
5
4
3
1
2
2
2
5
2 0
7
4
3
2
2
2
1
2
3
2
1
OCT
4
2
1
2
2
1
1
6
599
101
4
4
3
2
2
30
1 6
3
2
3
2
2
2
1
1
1
2
2
2
3
6
4
3
1
1 0
1 0
1 0
1
1
1
1
1
Q
1
2
2
2
2
NOV
5
2
1
2
3
2
2
9
2
1
2
2
1
1
10
10
10
2
1 0
7
5
5
3
2
2
1
7
6
3
2
2
3
1
2
2
2
2
1
1
4
4
4
DEC
3
5
3
2
2
2
2
2
7
1 2
4
3
3
2
g
2
3 0
2 0
1 0
3
5
3
3
1
1
1
1
3
3
1
1
2
2
2
3
2
1
1
3
3
3
1
1
-------
TABLE 12 CHROMIUM—URBAN STATIONS
137
STATION LOCATION
SATERBURY CONN
BOSTON MASS
EVERETT MASS
ELIZABETH N J
PAULS80RO N J
CAMDEN N J
PERTH A M B 0 Y N J
TRENTON N J
JERSEY CITv N J
NEW YORK N Y
PHILADELPHIA PA
ALTOONA PA
BRISTOL PA
CHESTER PA
ERIE PA
PITTSBURGH PA
WILLIAMSPORT PA
WASHINGTON DC
LOUISVILLE KY
BALTIMORE MO
CHARLESTON W VA
TAMPA FLA
ATLANTA G A
CHATTANOOtn TLNN
CHICAGO ILL
SITE
1
1
1
1
1
1
1
1
1
1
1
3
3
1
1
1
4
5
6
7
1
1
1
1
1
1
2
1
1
1
2
2
2
1
4
1
1
3
4
1
4
YEARS
5 5
5 6
55 56
5 5
5 5
55 56
55 56
55 56
55 56
55 56
55 56
55 56
54 55
54 56
5 5
56
55 56
56
5 6
5 6
56
5 5
5 6
55 56
5 6
55 56
55 56
5 6
5 6
55 56
55 5 b
5 4
5 5
54 55
5 i
5 D
54 55
5 4
5 5
54 55
57
5 5
5 5
55 56
5 5
55 56
5 b 56
5 5
5 5
5 5
5 5
No. OF
SAMPLES
I 4
2 2
3 6
2 3
2 6
2 0
2 3
1 9
2 1
1 6
2 1
2 1
1 B
3 9
9 4
1 1
105
1 1
g
1 1
1 1
9 4
5 3
147
1 3
1 8
1 8
2 5
2 1
2 3
1 7
1 7
2 0
3 7
1 3
1 0
2 3
3 1
3 0
6 1
1 8
1 6
2 1
1 6
1 4
1 b
3 2
2 8
i-j Q
2 9
7 7
(MICROGRAMS PER CUBIC METER) x Ifr1
MIN
2 3
MAX
2 0
4 0
4 0
6
1 0
4
^
5
4
7 0
3 0
3 0
3 0
1 2
7
1 2
4 9
7
8
3 1
1 2
4 9
4 9
6
4
8
5
200
9
1 0
2 0
ISO
150
1 0
2 0
2 0
2 0
150
150
290
4 0
1 0
2 0
2
30
3 0
2 0
100
100
AVG
5
6
6
1
1 2
4
6
5
2
3
2
7
]_
2
4
2
3
2
1
1
2 8
4
4
6
1 3
1 0
2
4
3
4
1 0
7
7 1
8
1
5
5
3
4
6
1 6
9
FREQUENCY DISTRIBUTION— PERCENT
10
1
1
1
1
1
1
1
1
1
1
1
2 5
1
1
20
1
1
2
1
1
1
1
1
1
4
1
1
1
2
1
1
1
1
1
1
1
2 8
1
1
1
1
1
1
1
30
d
1
1
1
1
3
1
1
1
1
1
1
1
1
1
1
1
1
1
5
2
2
2
2
2
1
1
1
1
2
2
2 9
1
2
1
1
1
1
1
1
40
.
1
2
1
1
1
4
2
2
2
1
2
1
1
1
1
1
1
1
1
1
8
2
2
3
3
3
2
2
2
2
2
2
3 5
1
1
2
1
2
1
2
2
2
50
6
2
-3
i
i
i
i
i
6
2
2
2
1
3
1
2
1
1
1
1
1
1
1
1
1 0
3
3
6
3
3
2
2
2
3
3
3
4 0
4
1
3
1
2
1
3
3
3
60
6
2
6
1
2
1
1
1
1 1
4
5
4
1
3
1
3
2
1
1
2
1
1
1
2
2 0
5
3
7
3
5
3
3
3
3
3
3
4 4
9
1
5
1
3
2
3
6
4
4
70
7
7
7
1
2
1
1
1
1 3
5
7
5
2
4
2
6
3
3
2
3
2
2
1
2
2 1
6
6
9
5
9
3
4
3
6
5
6
6 0
9
2
6
1
4
2
5
7
7
6
ao
7
1 0
9
1
3
1
1
2
1 4
7
1 0
9
3
5
3
7
4
7
3
6
4
2
1
3
4 0
6
8
1 0
1 0
1 0
3
7
5
9
1 0
9
112
1 0
4
9
2
8
3
6
8
2 1
9
90
9
1 0
1 0
3
4
2
p
-7
J
1
2
2 3
1 0
1 7
1 3
6
6
6
7
^
7
7
6
7
6
4
1
5
2
6 0
7
8
1 0
2 1
1 0
5
1 0
1 0
1 0
2 0
1 0
146
2 0
6
1 0
2
1 0
9
9
1 0
60
2 1
-------
138
TABLE 12 CHROMIUM—URBAN STATIONS
STATION LOCATION
EAST ST LOUIb ILL
EAST CHICAGO IND
CINCINNATI OHIO
VOUNGSTOWN OHIO
MILWAUKEE WIS
MINNEAPOLIS MINN
KANSAS CITY MO
ST LOUIS MO
NEW ORLEANS LA
FT WORTH TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
DENVER COL
SALT LAKE CITY UTAH
ANCHORAGE ALASKA
SAN FgANCISCO CALIF
PASADENA CALIF
SAN JOSE CALIF
SAN LEANDRO CALIF
PORTLAND OREGON
SEATTLE WASH
SITE
1
2
1
2
3
4
1
1
1
1
2
4
1
1
a
i
i
i
i
i
i
i
i
2
1
1
1
1
1
1
1
YEARS
55 56
55 5 fa
5 b 56
55 56
5 :• 56
55 56
5 - 56
55 56
5 5
5 7
5 7
54 55
55 56
55 56
5 56
55 56
54 55
54 55
54 55
54 55
5 4
5 ..
5 '• 55
5 4
^h -
54 55
54 55
5 a 55
5 a 55
55 56
55 56
55 So
55 56
54 55
5 7
No. OF
SAMPLES
1 5
1 4
2 9
1 9
2 6
8 1
2 0
8 6
2 3
1 3
1 9
2 1
1 6
9
2 7
2 3
2 ^
2 2
4 6
2 4
8
5 6
6 4
1 7
1 4
3 1
2 3
2 6
1 3
3 2
2 0
2 5
3 0
2 0
2 0
(MICROGRAMS PER CUBIC METER) x KH
MIN
3
2 9
2
1 7
MAX
5 0
3 0
5 0
5 0
5 0
120
7 0
120
3 9
7 5
8 8
7
2 1
3
2 1
2 0
9
6
9
3
2 0
3 0
3 0
3 0
1 0
3 0
1 0
100
2 0
6
6
9
2 0
2 0
5 9
AVG
9
4
7
1 5
1 1
1 5
1 2
1 3
9
4 7
2 9
2
5
3
4
1
1
1
7
4
4
7
4
2
2 1
4
1
2
1
4
3
3 3
FREQUENCY DISTRIBUTION— PERCENT
10
3
1
1
2
1
1
1
2 9
1
1
1
2
1
3
1
1
1 9
20
4
1
2
3
2
3
1
2
2
3 3
17
1
1
1
2
i
i
i
i
6
1
1
1
2
2 2
30
4
1
3
5
4
4
2
4
4
3 6
1 9
1
2
1
2
1
2
2
2
2
1
1
9
1
1
1
1
2
4
2 5
40
5
2
4
8
5
5
4
5
6
4 0
2 3
1
2
1
1
2
1
1
1
5
2
2
2
1
1
2
9
1
1
1
1
2
5
2 8
50
6
4
5
1 0
7
9
5
7
8
4 4
2 6
1
3
1
2
3
1
1
1
1
6
2
3
2
1
1
2
1 0
2
1
2
1
3
6
3 0
60
6
5
5
1 9
9
1 0
5
9
9
5 1
2 8
2
3
1
2
4
1
1
1
1
7
3
3
3
1
2
3
1 0
3
1
3
1
4
8
3 2
70
9
6
6
2 0
1 0
1 9
1 0
1 9
9
5 2
3 6
2
4
1
3
4
1
2
1
1
1 0
4
5
9
1
2
3
2 0
4
1
3
2
5
1 0
4 0
80
9
6
7
2 1
20
20
20
2 0
1 0
6 0
4 0
4
6
1
4
5
2
2
2
1
10
6
7
1 0
1
9
3
2 1
7
2
3
2
7
1 0
4 9
90
1 0
7
1 0
3 2
2 1
3 1
3 2
3 0
2 0
7 4
4 4
6
1 0
2
6
8
5
3
4
1
1 0
9
9
1 0
2
1 0
9
3 2
1 0
4
4
7
1 0
2 0
5 2
-------
TABLE 12 CHROMIUM—URBAN STATIONS--TOTALS
139
STATE OR REGION
CONNECTICUT TOTAL
MASSACHUSETS TOTAL
NEW JERSEY TOTAL
NEW YORK TOTAL
PENNSYLVANIA TOTAL
DIS COLUMBIA TOTAL
KENTUCKY TOTAL
MARYLAND TOTAL
WEST VIRGINA TOTAL
FLORIDA TOTAL
GEORGIA TOTAL
TENNESSEE TOTAL
ILLINOIS TOTAL
INDIANA TOTAL
OHIO TOTAL
WISCONSIN TOTAL
MINNESOTA TOTAL
MISSOURI TOTAL
LOUISIANA TOTAL
TEXAS TOTAL
COLORADO TOTAL
UTAH TOTAL
ALASKA TOTAL
CALIFORNIA TOTAL
OREGON TOTAL
WASHINGTON TOTAL
NEW ENGLND TOTAL
MIO ATLNTC TOTAL
MID EAST TOTAL
SOUTH EAST TOTAL
MIO WEST TOTAL
CRT PLAINS TOTAL
GULF SOUTH TOTAL
ROCKY MNTN TOTAL
PAC COAST TOTAL
GRAND TOTAL
YEARS
55 56
5 5
55 56
54 56
55 So
55 56
54 55
5 7
5 5
5 5
55 56
55 56
55 56
55 56
55 57
5 7
54 55
55 56
54 55
54 55
54 55
54 55
54 55
55 56
54 55
5 7
55 56
54 56
54 57
55 56
55 57
54 56
54 55
54 55
54 57
54 57
No. OF
SAMPLES
3 6
4 9
120
3 9
265
1 7
6 1
1 8
1 6
2 1
1 6
3 2
106
8 6
3 5
1 9
2 1
5 0
4 6
119
2 3
2 6
1 3
107
2 0
2 0
8 5
424
112
6 9
246
7 1
165
4 9
160
1381
(MICROGRAMS PER CUBIC METER) x ID0
MIN
2 3
1 7
MAX
4 0
1 0
7 0
3 0
200
1 0
150
290
4 0
1 0
2 0
3 0
100
120
7 5
8 8
7
2 1
9
3 0
1 0
100
2 0
2 0
2 0
5 9
4 0
200
290
3 0
120
2 1
3 0
100
5 9
290
AVG
6
1
2
5
4
4
7
7 1
a
i
5
3
8
1 3
2 2
2 9
3
3
1
3
a
2 1
4
2
8
3 3
3
4
1 7
3
1 3
3
2
1 2
7
7
FREQUENCY DISTRIBUTION — PERCENT
10
1
1
2 5
1
1
1
2
1
3
1
1 9
1
1
20
1
1
1
1
2 8
1
1
1
1
2
4
17
1
1
1
6
1
2
2 2
1
2
1
2
1
1
30
1
1
1
2
2
2 9
1
2
1
2
4
8
1 9
1
1
1
1
9
1
1
4
2 5
1
1
2
1
3
1
1
2
1
1
40
2
1
1
2
1
2
2
3 5
1
1
2
1
3
5
9
23
1
2
1
1
2
9
1
1
5
28
1
1
3
1
4
1
1
3
1
1
50
3
1
1
2
1
3
3
4 0
4
1
3
1
4
7
1 0
2 6
1
2
1
2
2
1 0
2
1
6
3 0
1
1
4
1
6
2
1
6
2
2
40
6
1
1
4
2
3
3
4 4
9
1
5
2
5
9
20
3 8
2
3
1
2
2
1 0
3
2
8
3 2
2
1
7
2
9
2
2
9
3
3
70
7
1
1
5
3
6
6
6 0
9
2
6
2
6
1 9
3 5
3 6
2
4
1
3
3
2 0
4
3
1 0
4 0
3
2
9
3
1 0
3
3
1 0
5
5
80
9
2
2
9
5
8
9
112
1 0
4
9
3
9
20
4 0
4 0
4
5
2
5
3
21
7
4
1 0
4 9
6
5
21
5
21
5
4
1 0
9
8
90
1 0
4
5
1 3
7
8
1 0
146
2 0
6
1 0
9
2 0
3 0
5 4
4 4
6
8
4
9
9
3 2
1 0
6
2 0
5 2
9
8
3 8
9
3 8
7
9
2 1
2 2
2 0
486455 O -58 -10
-------
140
TABLE 12 CHROMIUM—SUBURBAN AND NONURBAN STATIONS
STATION LOCATION
SUBURBAN
MIDDLESEX CNTY MASS
LAKEHURST N J
KANAWHA CO W VA
DENVER COUNTY COLO
GRAND TOTAL
NONURBAN
PT WORONZOF ALASKA
SITE
1
1
1
1
1
YEARS
5 5
55 56
5 5
54 55
54 55
55 56
No. OF
SAMPLES
2 3
1 7
1 7
1 0
6 7
1 3
MIN
(MICROGRAMS PER CUBIC METER) x la'
MAX
5
1 0
2
2
AVG
1
FREQUENCY DISTRIBUTION— PERCENT
10
20
30
40
1
1
1
SO
1
1
1
1
60
1
1
1
1
70
1
1
1
1
W
1
1
2
1
90
2
1
3
2
2
-------
TABLE 12 CHROMIUM—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x Ifr3
141
STATION LOCATION
WATERBURY CONN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BOSTON MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
EVERETT MASS
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
ELIZABETH N J
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
CAMDEN N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TRENTON N J
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
JERSEY CITY N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NEW YORK N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
PHILADELPHIA PA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
ALTOONA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHESTER PA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
ERIE PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PITTSBURGH PA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
WILLIAMSPORT PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
WASHINGTON DC
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LOUISVILLE KY
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
55 56
5 5
5 5
55 56
55 56
55 56
55 56
54 56
4
55 56
5 6
55 56
56
5 6
55 56
55 56
54 55
JAN
2
1
3
3
3
3
2
1
3
2
2
4
2
3
2
5
3
2
1
1 0
1 0
1 0
1 7
3 1
4
3
2
3
2 0
1 1
5
1
8
8
8
1
2
2
2
FEB
2
2
1
2
3
1 O
4
2
3
3
1
2
4
2
3
4 7
2 7
1 3
3
5
3
2
1 3
7
1
1
2
2
2
1
1
1
1
1
3
1 0
6
3
3
9
6
3
2
8
5
3
3
3
3
3
MAR
4
3
i'
-------
142
TABLE 12 CHROMIUM—URBAN STATIONS
(MOOGRAMS PER CUBIC METER! x 103
STATION LOCATION
BALTIMORE M D
NUMBER OF SAMPLES
MAX! MUM
AVERAGE
MINIMUM
CHARLESTON * V A
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
TAMPA FLA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ATLANTA GA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
CHATTANOOGA TENN
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
CHICAGO ILL
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
EAST ST LOUIS ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
EAST CHICAGO INO
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
CINCINNATI OHIO
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
YOUNGSTOWN OHIO
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
MILWAUKEE WIS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
MINNEAPOLIS MINN
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
KANSAS CITY MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ST LOUIS MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
NEW ORLEANS LA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
HOUSTON TEXAS
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
YEARS
5 7
5 5
5 5
55 56
55 56
5 5
55 56
55 56
5 5
5 7
57
54 55
55 56
55 56
54 55
54 55
JAN
1
2 9
2 9
2 9
2
1
1 0
1 0
1 0
1
2
4
9
5
6
1 0
6
3
2
1 0
5
2
4 1
4 0
3 9
1
6
6
6
4
4
2
2
4
3
2
2
FEE
2
3 3
2 8
2 3
1
9
9
9
1
5
5
5
1
6
6
6
5
3
1
3
100
3 6
3
2
6
3
5
1 0
4
2
8 8
4 4
1
2
2
2
2
2 1
1 2
3
2
5
5
5
3
2
5
1 0
3
MAR
2
110
7 7
4 4
1
1
-}
1 0
4
2
3
2
1
6
9
4
2
5 0
2 7
4
1 4
120
2 3
2
2 0
1 1
2
1
3 9
3 9
3 9
2
3 5
1 7
1
7
7
7
3
2 0
8
2
3
6
1 0
4
APR
3
290
148
25
3
1
2
5
2
2
2
1
3
1 0
6
2
1 0
7
5
7
7 0
2 1
4
2
9
7
6
2
68
5 1
3 4
3
7 0
3 8
1 7
1
2
2
2
3
2
2
4
2
4
4
3
2
MAY
1
150
150
150
2
1 0
8
7
2
1
2
2
2
2
1 0
6
2
8
6 0
1 4
2
2 0
1 1
2
4
3 0
2 0
1 0
2
9
5
2
1
5 4
5 4
5 4
2
4 1
3 4
2 7
3
2
3
2
1
4
5
8
4
2
JUNE
3
4 9
37
2 8
2
2 0
10
1
1
2
2
2
1 1
7 0
1 6
2
3
6
3
2
6
2 0
9
2
9
6
3
1
2 9
2 9
2 9
1
2
2
1
2
6
4
3
2
3
2
2
4
3
6
1 0
5
JULY
2
5 6
4 5
3 5
2
3
1
2
3
2 0
6
1
2
2
2
9
8
1
1
1 0
i o
1 0
1 0
1 0
5
2
1 0
8
7
2
4 2
3 8
3 4
2
2 5
2 2
1 9
2
1
2
8
4
6
7
1
7
1 0
4
AUG
3
140
6 8
2 6
1
1 0
1 0
1 0
2
1 0
7
4
1
3
3
3
4
3
1
6
8
2
4
1 0
5
4
5
2 0
8
1
3
2 0
1 1
5
2
5 2
5 2
5 2
2
2 1
1 9
1 8
5
4
1
4
6
3
3
1 0
5
2
4
2
1
3
1 0
5
3
SEPT
1
4 2
4 2
4 2
1
1 0
1 0
1 0
3
7
5
3
4
2 0
6
4
8 0
2 5
4
3
6
4
7
3 0
1 1
2
2
8
4
1
3 5
3 5
3 5
2
37
3 0
2 4
4
2
1
1
3
3
3
1
5
5
5
4
9
4
6
3 0
1 0
2
OCT
3
2 0
8
1
1
2
2
2
1
1 0
1 0
10
5
9
4
1 0
4 0
7
1
2
2
2
6
5 0
2 2
6
2
3 9
2 1
4
2
7 5
6 7
6 0
1
2 2
2 2
2 2
3
5
1
1
2
2
2
1
3
3
4
5
3
1
6
9
2
NOV
2
2
1
7
7
7
3
2
10
20
4
2
7
6
5
8
50
9
2
9
4
2
6
3
DEC
1
4 0
4 0
4 0
1
1
5
5
5
2
30
1 5
5
9
5
3
7
5
4
8
4 0
1 1
2
2 0
1 4
8
1
2
2
I 3
I
1
3
3
1
5
2
X
9
5
2
i
1 0
1 0
1 0
2
2 0
1 4
jj
3
2
7
2 0
5
2
-------
TABLE 12 CHROMIUM—URBAN AND SUBURBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10-'
143
STATION LOCATION
BELLAIRE TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DENVER COL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
SALT LAKE CITY UTAH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
ANCHORAGE ALASKA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN FRANCISCO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PASADENA CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
SAN JOSE CALIF
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
MINIMUM
SAN LEANORO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PORTLAND OREGON
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SEATTLE WASH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
SUBURBAN
MIDDLESEX CNTY MASS
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
LAKEHURST N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
KANAWHA CO » VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DENVER COUNTY COLO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
54 55
54 55
54 55
54 55
55 56
55 56
55 56
55 56
54 55
5 7
5 5
55 56
5 5
54 55
JAN
3
1 0
3
2
1 0
5
3
100
4 b
1 0
3
2
1
2
5
4
3
1
1
1
1
3
2
2
2
1
1 0
1 0
1 0
2
5 2
4 8
4 5
2
2
1
FEB
2
2
1
2
1 0
6
2
2
9 0
6 0
3 0
1
2
3
1
2
4
2
2
i
2
2
2
2
5 2
4 1
3 0
1
1
1
1
1
3
8
2
1
1
1
1
MAR
3
1
a
5
3
^
2 0
1 1
3
a
a
s
i
i
3
3
a
2
2
3
2
2
3
S
3
1
5 1
5 1
5 1
8
5
3
1
3
3
2
1
1
1
APS
2
2
J
1
2
7
5
4
2
7
4
2
1
5
5
5
3
6
3
2
1
2
2
2
1
2
3 0
2 9
29
2
1
MAY
2
'j
-'j
3
2
2 0
1 1
3
3
5
2
1
3
3
1
3
2
1
1
5
5
5
3
4 5
3 5
2 6
1
2
2
1 0
6
2
JUNE
2
2
3
1
2
2 0
I 0
4
2 0
8
3
2
6
3
2
3
2
2
20
1 5
1 0
2
3 0
2 6
2 2
3
2
1
1
JULY
2
1 0
1 0
1 n
?
1 0
6
s
1 0
8
7
5
4
1
1
3
3
2
1
3
2
1
4
B
4
2
1 0
7
5
2
2 7
2 4
2 2
2
1
3
1
AUG
3
3 0
2 3
9
2
3
1
2
2 0
1 5
1 0
1
1 0
] 0
1 0
?,
2
1
3
7
4
3
4
2 0
B
4
7
2 0
1 2
4
2
2 2
1 9
1 7
3
1
2
2
3
SEPT
3
9
4
2
2
2
1 0
1 0
1 0
3
3
1
2
4
3
3
2
9
8
8
1
5
5
5
5
1 0
4
1
3
5 9
3 9
1 9
3
2
2
2
1
OCT
4
4
2
2
2
3
3
3
2
1 0
8
6
1
3
2
3
2
1
1
2
2
2
3
1 0
6
2
1
2 0
2 0
2 0
1
2 6
2 6
2 6
1
2
2
2
1
2
3
1
2
2
1
MOV
2
2
1
1
3
3
3
3
100
6 0
2 0
1
5
2
2
7
8
3
1
2
2
1
2
1
1
2
2
2
DEC
3
3
2
2
2
3
1 0
1 0
1 0
1
1
3
2
1
3
2
1
1
1
2
2
3
-------
144
TABLE 13. COPPER—URBAN STATIONS
STATION LOCATION
•ATERBURY CONN
BOSTON MASS
EVERETT MASS
ELIZABETH N J
PAULSBORO N J
CAMDEN N J '
PERTH AMBOY N J
TRENTON N J
JERSEY CITY N J
N E » YORK N Y
PHILADELPHIA PA
ALTOONA PA
BRISTOL P«
CHESTER PA
ERIE PA
PITTSBURGH PA
HILLIAMSPORT PA
WASHINGTON DC
LOUISVILLE KY
BALTIMORE MD
CHARLESTON * VA
TAMPA FLA
ATLANTA GA
CHATTANOOGA TENN
SITE
1
1
1
1
1
1
1
1
i
i
i
2
3
1
1
1
1
3
4
5
6
7
1
1
1
1
1
1
1
2
1
1
1
2
2
2
3
1
1
4
1
1
3
4
YEARS
5 5
56
55 56
5 5
5 5
55 56
55 56
55 56
55 56
55 56
55 56
54 56
54 55
54 56
54
5 5
56
54 56
5 4
56
5 f>
56
56
5 4
5 5
56
54 56
5 6
55 56
55 56
5 6
56
55 56
5 4
55 56
54 56
5 4
5 b
54 55
5 4
5 5
54 55
54
5 4
5 b
54 55
5 7
5 4
5 b
54 55
54 55
54 56
5 5
55 56
55 56
No. OF
SAMPLES
1 4
2 2
3 6
2 3
2 6
2 1
2 5
2 1
2 3
1 7
3 3
5 0
2 4
7 4
6
9 4
1 1
111
4
1 1
9
1 1
1 1
1 0
9 4
5 3
157
1 3
1 8
1 8
2 5
2 1
2 3
2 3
2 0
4 3
2 0
2 1
4 1
1 3
1 0
2 3
5
3 8
3 1
6 9
1 6
6
1 6
2 2
2 8
2 2
1 4
1 8
3 2
(MiCROGRAMS PER CUBIC METER) x la1
MIN
1
3 4
1 0
7
1 3
1 7
1 8
1 4
4 9
4 0
4 0
9 0
1 I
3 0
8
1 0
2
2
1
4
5
1
MAX
2 0
7 0
70
450
550
510
168
1 -j 0 0
120
550
i i. .., :•
1 0 2
V 6
1 02
242
1 6
1 4
321
5 B
2 8
5
7 0
321
1 6
7 0
3 .? 1
2 3 0 O
5 8
2 1
930
2400
120
6
1 2
1 2
5 8
3 6
5 8
5
7 9
7 9
1 8
5 8
7 9
79
13
2 7
2 0
2 7
3 9
3 0
1 5
2 0
2 0
AVG
1 0
1 3
1 2
123
124
67
5 7
118
6 1
7 3
115
2 1
1 7
2 0
139
4
4
125
1 7
2
1 1
133
4
8
1 3
763
2 5
5
193
386
3 0
3
1
1 4
1 1
1 2
1
1 1
5
5
B
1 1
9
6
1 0
8
8
6
6
2
5
4
FREQUENCY DISTRIBUTION— PERCENT
10
1
5
5
37
29
5
20
18
2 4
26
20
1
2
2
5 2
1
1
4 4
104
1 1
1
4 4
1 0
1 1
1
2
4
3
1
1
1
1
4
1
5
4
1
1
20
5
6
6
52
4 4
10
2 4
2 2
2 9
2 8
2 8
6
9
7
5 2
1
1
4 4
1
1
1
52
1
1
1
266
1 4
2
57
3 1
1 9
1
4
4
4
1
1
1
1
2
1
5
1
5
4
2
1
2
1
30
6
7
7
59
4 9
1 6
3 5
2 9
3 1
3 1
3 1
7
1 0
9
88
2
2
2
4 4
1
1
2
68
2
1
2
288
1 4
3
79
4 1
20
1
1
5
5
5
1
2
1
2
1
4
2
5
4
5
5
2
4
1
£
i
40
8
9
8
8 1
52
29
4 1
39
4 4
3 4
4 1
10
1 1
10
8 8
3
2
68
2
2
4
74
3
2
3
482
1 5
3
8 8
4 4
2 1
2
1
6
5
5
1
2
1
2
2
4
4
6
4
6
6
3
4
1
4
2
50
9
1 0
9
104
7 0
3 9
5 2
4 4
6 0
3 7
5 2
1 3
1 3
1 3
123
4
3
6 8
6
2
5
8 8
4
3
4
572
1 7
4
104
9 6
2 7
1
2
1
8
8
8
1
2
1
2
4
5
5
6
5
7
6
3
4
1
4
3
60
9
1 0
1 0
117
8 3
4 4
6 2
4 9
66
4 1
6 2
1 9
1 6
1 8
173
5
5
6 8
1 6
3
6
123
5
4
5
626
1 9
4
146
160
2 8
1
2
1
1 1
1 1
1 1
1
S
2
2
5
8
5
7
6
9
7
4
5
1
5
4
70
1 0
1 1
1 1
146
9 3
5 5
7 8
5 7
7 4
5 2
6 8
2 2
2 0
2 1
173
5
5
C
7 4
3 1
Q
3
8
173
5
5
6
679
2 2
5
230
288
2 9
1
3
2
17
1 3
1 6
1
4
2
5
8
1 2
1 0
7
6
9
9
4
5
2
6
5
80
1 1
20
1 9
164
160
6 2
85
7 4
9 6
6 8
7 4
3 3
2 1
29
205
6
6
g
7 4
34
g
4
9
205
6
8
7
1047
4 8
5
288
957
30
1
4
3
2 3
1 8
2 3
2
8
4
5
1 3
16
1 6
7
22
10
1 1
4
7
•J
7
7
90
2 1
2 2
2 1
243
342
104
104
104
114
7 4
173
4 4
3 1
4 2
205
8
9
Q
342
37
2
4
1 6
243
8
2.9
1 6
2254
5 5
7
527
1136
4 4
2
6
5
2 6
2 6
2 6
4
1 6
8
1 8
2 3
2 6
2 4
8
2 2
1 1
2 0
6
1 1
8
9
9
-------
TABLE 13. COPPER—URBAN STATIONS
145
STATION LOCATION
CHICAGO ILL
EAST ST LOUIS ILL
EAST CHICAGO 1 N D
DETROIT MICH
CINCINNATI OHIO
YOUNGSTO»N OHIO
MIL*AUKEE «MS
MINNEAPOLIS MINN
KANSAS CITY MO
ST LOUIS MO
NE» ORLEANS LA
FT WORTH TEXAS
LAKEWORTH TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
DENVER COL
SALT LAKE CITY UTAH
ANCHORAGE ALASKA
LOS ANGELES CALIF
SAN FRANCISCO CALIF
SITE
1
1
1
2
2
2
3
4
1
2
1
2
3
4
1
1
1
1
2
4
5
1
1
1
2
3
4
1
1
2
1
1
1
1
1
1
1
1
1
2
1
1
YEARS
S 4
5 5
54 55
5 4
5 S
54 55
54
5 5
5 4
5 b
54 55
55 56
55 56
55 56
55 56
55 56
55 56
55 56
55 56
53 54
5 4
5 5
54 55
54
5 4
5 4
54
55
54 55
57
57
54 55
54 56
5 4
55 56
54 56
55 56
54 55
54 55
54 55
54 55
5 4
5 4
5 5
54 55
54
5 5
54 55
54 55
54 55
54 55
5 4
55 56
No. OF
SAMPLES
4
2 8
3 2
3 0
2 6
5 6
3
2 9
3 7
8 3
120
1 5
1 i
2 9
1 9
2 6
2 1
2 0
86
3 2
7 2
2 7
99
1 3
2 0
1 9
124
2 7
151
1 2
1 9
3 1
2 2
4
9
3 5
2 3
2 6
2 4
5 0
3 2
5
2 1
5 6
7 7
1 9
1 4
3 3
2 3
3 1
3 4
1 8
3 2
IMICROGRAMS PER CUBIC METER) x Ifr'
MIN
1
1
6
4
4
MAX
1 4
4 0
4 0
4 9
2 2
4 9
1 8
7 0
4 9
7 0
7 0
300
7
300
5 0
110
170
1 2
170
396
467
200
467
2 7
243
6 9
467
200
467
1 5
8 0
4 6
1 0
2 B
5
2 8
5 0
2 0
5
2 0
114
3 2
2 9
3 3
3 3
8
6
8
4 0
3 0
5 3
4 0
1 0
AVG
4
9
8
8
9
8
8
1 1
7
1 0
9
3 6
2
2 0
1 1
2 2
2 6
5
1 7
6 6
1 2
1 3
1 2
7
4 5
8
1 6
1 3
1 6
1 0
1 9
7
4
1 2
2
4
1 2
2
1
2
3 5
1 0
6
8
8
2
1
1
1 0
7
3
1 0
1
FREQUENCY DISTRIBUTION— PBtCENT
10
4
2
5
1
1
1
4
1
2
1
1
1
6
1
1
6
4
1
1
5
1 0
1
1
2
1
20
1
5
4
1
6
1
1
1
1
5
1
4
1
5
5
5
1
4
1 5
3
1
1
3
7
5
2
2
1
1
6
1
17
1
2
1
1
4
2
30
1
6
6
1
7
4
1
4
1
6
5
6
1
2
6
1 0
7
2
6
2 6
1
4
1
2
1
1
1
4
1
9
6
3
3
1
1
2
7
1
1 9
1
1
3
2
1
1
5
3
40
2
6
6
1
7
6
1
5
1
6
6
6
1
3
8
1 1
8
3
7
37
1
5
1
2
6
1
1
5
1
10
8
4
3
1
1
3
8
1
1
20
1
1
4
3
1
1
1
5
4
1
1
SO
2
7
7
4
9
8
6
8
4
8
7
8
1
4
9
1 8
1 0
6
9
4 1
1
5
3
4
1 0
2
2
5
3
1 0
1 1
5
4
1
1
3
1 0
1
1
1
2 1
3
1
6
4
1
1
1
9
6
1
1
60
2
9
8
8
1 0
1 0
6
1 0
8
9
9
8
2
5
1 0
20
1 5
7
10
4 5
2
6
4
4
1 1
2
4
6
5
1 1
1 3
6
4
1
1
4
1 0
1
2
1
26
3
2
7
6
2
1
1
1 0
7
1
1
70
3
1 0
9
1 2
1 0
1 1
6
1 0
1 2
1 0
1 0
1 0
3
6
1 1
Z 1
2 6
8
1 6
4 9
4
7
6
7
1 3
5
7
7
7
1 1
1 8
8
5
22
2
5
1 1
1
2
2
3 0
1 6
5
9
8
2
1
2
1 1
8
1
1
80
3
10
1 0
1 5
1 1
1 4
6
1 9
1 5
11
1 3
1 1
4
8
1 9
29
3 1
9
2 1
62
9
9
9
17
52
7
1 3
9
11
1 3
31
1 0
6
22
2
5
1 1
1
3
3
6 2
1 6
16
1 3
1 5
3
1
2
1 9
1 0
1
1 "7
1 (
2
90
1 6
1 1
1 6
1 7
1 6
1 7
1 8
2 2
1 7
2 0
1 9
173
5
1 1
2 1
4 4
6 2
1 0
3 1
123
2 5
1 1
2 4
1 8
173
1 8
2 9
1 1
27
1 S
4 4
1 7
8
3 1
5
9
2 2
7
4
4
8 8
3 7
2 4
2 2
2 3
4
4
4
2 1
1 9
3
o n
o U
4
-------
146
TABLE 13. COPPER—URBAN STATIONS
STATION LOCATION
p A S A L) E N 4 C A L 1 T
BERKELEY CALIF
SAN JOSE CALIF
3 A il LEANDRO CALIF
PORTLAND OREGON
SEATTLE WASH
SITE
1
1
1
1
1
1
1
1
1
1
1
1
1
2
5
4
1
YEARS
5 4
5 :
5 6
54 5 b
54 55
5 4
5 ..
5 '
54 56
55 56
5 4
5 5
54 55
5 -4
5 4
5 -.
5 4
5 5
54 55
5 7
1
No. OF
SAMPLES
i! 3
2 1
4
<4 b
3 4
2 7
1 ?.
2 0
5 9
3 0
1 8
1 9
3 7
1 5
1 0
1 0
5 3
1 9
7 2
2 0
1MICROGRAMS PER CUBIC METERI x 10"1
MIN
-,
2
MAX
AVG
4 :-, \ 1 5
I 2
? 0
] ^.
3 n
6 1
6
9
6 L
1 0
4 0
4 0
2 7
] 0
8
4 0
6
4 0
4 2
5
1 1
1 0
3
1 1
1
1
'5
3
s
4
5
2
2
4
3
4
8
FREQUENCY DISTRIBUTION— PERCENT
JO
5
1
20
6
1
3
4
1 1
i
1
1
1
1
1_
1
; 1
1
3
1
1
1
1
4
30
9
1
8
5
2
1
1
1
2
1
2
1
1
1
1
i
2
1
5
40
1 0
4
1 1
6
1
3
1
1
1
3
1
3
2
1
1
8
1
3
1
6
50
1 1
5
1 1
B
1
4
1
1
S
3
2
3
3
2
1
2
2
3
2
6
60
1 2
6
1 1
1 0
1
4
2
2
3
4
3
3
3
3
1
3
3
3
3
7
70
1 5
7
2 0
1 2
2
9
2
2
3
4
4
4
4
6
3
3
3
4
4
8
80
1 8
7
20
1 5
6
2 6
3
3
6
4
4
4
5
8
4
4
6
4
5
9
90
3 7
1 1
2 2
2 9
1 1
2 9
4
4
2 4
5
1 1
5
6
1 6
7
4
1 1
5
8
1 3
-------
TABLE 13. COPPER—URBAN STATIONS—TOTALS
147
STATi OR REGION
CONNECTICUT TOTAL
MASSACHUSETS TOTAL
N E » JERSEY TOTAL
NEW YORK TOTAL
PENNSYLVANIA TOTAL
DIS COLUMBIA TOTAL
KENTUCKY TOTAL
MARYLAND TOTAL
BEST V1RGINA TOTAL
FLORIDA TOTAL
GEORGIA TOTAL
TENNESSEE TOTAL
ILLINOIS TOTAL
INDIANA TOTAL
MICHIGAN TOTAL
OHIO TOTAL
WISCONSIN TOTAL
MINNESOTA TOTAL
MISSOURI TOTAL
LOUISIANA TOTAL
TEXAS TOTAL
COLORADO TOTAL
UTAH TOTAL
ALASKA TOTAL
CALIFORNIA TOTAL
OREGON TOTAL
WASHINGTON TOTAL
NE» ENGLND TOTAL
MID ATLNTC TOTAL
MIO EAST TOTAL
SOUTH EAST TOTAL
MID WEST TOTAL
CRT PLAINS TOTAL
GULF SOUTH TOTAL
ROCKY MNTN TOTAL
PAC COAST TOTAL
GRAND TOTAL
YEARS
55 56
55
55 56
54 56
54 56
54 56
54 55
57
54 55
54 55
54 55
55 56
54 56
55 56
53 54
54 57
57
54 55
54 56
54 55
54 55
54 55
54 55
54 55
54 56
54 55
57
55 56
54 56
54 57
54 56
53 57
54 56
54 55
54 55
54 57
53 57
No. OF
SAMPLES
36
4 9
130
7 4
275
4 3
6 9
1 8
22
28
2 2
3 2
149
8 6
3 2
163
1 9
31
5 8
5 0
147
2 6
3 1
3 4
222
7 a
2 0
85
479
152
8 2
449
8 9
197
5 7
348
1938
(MICROGRAMS PER CUBIC METER) y 10-!
MIN
1 0
4
4
MAX
7 O
550
1500
102
2400
1 2
7 9
1 3
27
39
3 C
2 0
300
170
396
467
BO
4 6
50
2 0
114
4 0
30
5 3
6 1
4 0
4 2
550
2400
7 9
3 9
467
5 0
114
4 0
6 1
2400
AVG
1 2
123
8 2
2 0
9 5
1
9
6
8
6
6
4
1 1
1 7
6 6
1 5
1 9
7
7
2
1 2
9
7
-3
IT
4
8
7 6
8 0
7
5
1 8
7
9
8
5
3 1
FREQUENCY DISTRIBUTION— PESCSM7
10
5
34
18
2
i
i
4
4
1
1
6
4
1
1
1
1
3
6
1
1
1
20
6
4 5
26
7
£
1
C
/
C
1
1
1
4
1 5
1
^
2
2
1
2
2
1
1
4
9
4
1
1
1
2
1
2
1
30
7
5 2
30
9
4
i
2
5
I
t
1
4
6
26
1
6
3
3
1
4
1
1
1
C
1 1
6
2
3
3
T
1
3
1
3
40
8
66
38
10
[
1
4
6
6
3
C
C
7
37
C
8
4
4
1
3
C
4
1
1
1
6
2 1
10
3
3
5
4
1
5
1
4
SO
9
8 2
4 4
1 3
7
1
5
6
6
3
3
6
9
4 1
4
1 1
5
C
1
C
6
6
1
2
2
6
4 2
1 9
4
3
7
5
-7
6
2
6
60
1 0
9 4
5 5
1 8
1 4
1
5
7
7
4
4
9
10
4 5
6
13
6
6
1
7
9
7
1
4
3
7
5 5
2 9
5
<:
9
6
4
8
T
C
70
1 1
117
6 5
2 1
29
2
1 0
•7
9
4
^
1 0
16
4 9
8
18
8
9
2
1 4
1 0
8
1
5
4
8
8 C
4 2
6
§
1 ]
i
t
9
§
1 2
80
19
162
8 3
29
60
3
16
7
11
4
7
12
21
6 2
11
3 1
10
10
1
21
19
10
1
9
5
9
104
6 5
10
6
1 9
10
1 8
1 1
7
2 5
90
21
315
119
4 2
224
5
2 4
8
2 0
6
1 1
9
1 9
3 1
123
2 6
4 4
1 7
1 9
4
29
20
1 9
3
1 7
8
1 3
173
123
1 7
1 0
3 8
1 8
2 5
2 0
1 5
5 2
-------
148
TABLE 13. COPPER—SUBURBAN AND NONURBAN STATIONS
STATION LOCATION
SUBURBAN
MIDDLESEX CNTY MASS
LAKEHURST N J
K A N A W H A CO tt VA
HILLSBOROUGH CO FLA
FULTON CO GEORGIA
HAMILTON COUNTY OHIO
TONKA BAY MINN
DtNVER COUNTY COLO
SALT LAKE CO UTAH
MULTNOMAH CNTY ORE
GRAND TOTAL
NONURBAN
PT WORONZOF ALASKA
SITE
1
1
1
1
1
1
1
1
1
1
1
YEARS
5 5
55 So
54 55
5 4
5 4
54 55
5 4
54 55
5 4
5 4
5-4 5 o
55 56
No. OF
SAMPLES
2 2
1 9
2 3
4
3 1
B
1 0
5
1 2
139
1 2
(MICROGRAMS PER CUBIC METER) x 1
-------
TABLE 13. COPPER—URBAN STATIONS
IMICROGRAMS PER CUBIC METER) x lfr>
149
STATION LOCATION
WATERBURY CONN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BOSTON MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
EVERETT MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ELIZABETH N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
PAULSBORO N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CAMOEN N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PERTH AMBOY N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TRENTON N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
JERSEY CITY N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NEK YORK N Y
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
PHILADELPHIA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ALTOONA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BRISTOL PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHESTER PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ERIE PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PITTSBURGH PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
WILLIAMSPORT PA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
YEARS
55 56
55
55
55 56
55 56
55 56
55 56
55 56
55 56
54 56
54 56
56
55 56
55 56
56
56
55 56
JAN
2
10
5
1
5 3
5 3
5 3
3
5 0
26
1 0
3
4 0
2 1
10
2
1 9
1 7
1 6
2
4 0
30
2 1
3
2 7
2 2
1 7
3
32
2 6
1 8
2
55
4 6
38
4
3 9
2 6
1 6
20
242
21
3
930
516
120
3
2400
1520
960
FEE
2
1 0
7
5
2
34
3 4
34
3
8 O
53
3 0
2
3 0
2 0
10
4
140
59
7
3
1 50O
557
1 3
1
88
88
88
2
54
45
36
3
1200
481
7 3
5
23
15
4
1 6
321
39
1
1100
1100
1100
1
1 5
15
1 5
I
5
5
5
1
9 O
9 0
9 O
3
1000
690
150
3
5 0
3 3
2 O
MAR
4
1 0
e
6
4
60
4 7
4 0
3
50
40
3 0
3
216
105
4 O
3
8 2
4 8
2 5
3
9 3
6 O
4 2
4
120
8 8
3 3
1
38
3 8
3 8
4
220
9 1
2 9
4
3 1
2 2
1 0
1 4
173
1 7
2
1
630
6 3 O
630
1
1 8
1 8
1 8
2
6 0
55
50
3
560
323
160
1
2 0
2 0
2 0
APR
5
70
22
5
1
240
240
240
1
550
550
550
5
9 0
68
46
5
168
87
45
2
89
68
47
5
120
80
53
1
115
115
115
4
74
50
25
8
94
4 0
6
15
67
11
2
1900
i 4 5 O
1000
1
16
16
1 6
2
7
5
3
3
210
120
6 0
2
4 0
3 0
20
MAY
3
2 0
1 1
7
1
180
180
180
2
380
235
9 0
1
510
510
510
S
7 0
5 6
4 3
1
7 0
7 0
7 0
5
7 6
2 0
1 9
110
10
2
3
640
463
280
2
2 1
1 7
1 3
2
5
3
1
2
7 0
5 5
4 0
3
4 0
30
2 0
JUNE
3
9
7
6
2
150
125
100
3
160
9 3
50
1
38
38
38
1
6 7
67
6 7
1
3 1
3 1
3 1
2
130
100
70
10
39
1 4
7
12
5 8
1 1
3
2
3
1
1
4 0
4 0
4 0
3
1 0
9
8
2
20
1 5
10
JULY
3
2 0
1 3
1 0
2
450
305
160
3
9 0
8 0
7 0
1
4 0
4 0
4 0
4
7 7
4 7
2 1
1
3 0
3 0
30
1
3 1
3 1
31
2
4 9
4 3
3 7
2
38
26
1 4
7
2 0
9
1 3
3 1
5
2
2 1
1 6
1 1
2
6
5
4
1
9 0
9 0
9 0
2
4 0
3 5
3 0
1
120
120
120
AUG
4
1 0
6
1
4
300
157
6 0
2
310
185
6 0
2
9
4
i
5 5
5 5
55
2
4 7
4 5
4 3
2
6 0
4 5
3 1
1
28
28
2 8
2
160
9 5
3 0
5
2 0
1 1
1
1 3
34
7
1
510
510
510
1
1 1
1 1
1 1
3
5
4
3
1
2 0
2 0
2 0
SEPT
1
1 0
1 0
1 0
1
110
110
110
2
100
8 5
7 0
1
5
5
5
3
5 5
4 0
2 9
1
32
3 2
3 2
6
35
1 5
7
1 0
37
7
2
250
225
200
4
4 5
2 2
1 5
4
7
5
3
3
510
266
8 0
2
90
8 0
7 0
3
30
2 6
2 0
OCT
4
20
1 1
7
2
90
85
80
1
50
SO
50
2
9 7
6 4
3 2
2
60
39
18
2
9 4
78
6 2
1
550
550
550
6
6 9
2 4
1
8
2
2
560
325
90
2
58
56
5 4
1
2 1
2 1
2 1
4
290
220
140
2
9 0
6 5
4 0
2
30
20
10
NOV
3
30
19
8
2
130
105
80
1
150
ISO
150
1
30
30
30
3
72
4 5
24
1
40
40
40
1
19
19
19
7
30
13
8
5
1
1
2300
2300
230O
B
54
50
46
2
410
245
80
2
40
4 0
40
3
30
26
20
DEC
2
2 0
2 0
2 0
1
120
120
120
2
510
295
80
2
3 5
32
3 0
1
75
7 5
7 5
2
27
2 4
2 2
3
6 3
4 5
28
3
6 8
4 2
24
2
30
2 6
22
7
102
2 4
7
9
7 0
8
3
2 0
1 8
1 7
1
3
3
3
3
210
106
3 0
1
50
50
50
2
30
25
20
-------
150
TABLE 13. COPPER—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 1Q-3
STATION LOCATION
WASHINGTON DC
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 Mil M
LOUISVILLE KY
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M UU
BALTIMORE MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 UU k)
CHARLESTON « VA
NUMBER OF SAMPLES
M A X 1 HUM
AVERAGE
Ml N 1 M U M
TAMPA FLA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
ATLANTA G A
NUMBER OF SAMPLES
M A X 1 M U U
AVERAGE
Ml N 1 M U U
CHATTANOOGA TENW
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U U
CHICAGO ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U U
EAST ST LOUIS ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EAST CHICAGO INO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DETROIT MICH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M UU
CINCINNATI OHIO
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
Y O'U NGSTOWN OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
MILWAUKEE HIS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U U
MINNEAPOLIS MINN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U U
KANSAS CITY MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
54 56
54 55
57
54 55
54 55
54 56
55 56
54 55
55 56
55 56
53 54
54 55
57
5 7
54 55
54 56
JAN
1
3
3
3
2
a
i
i
6
6
6
3
5
•4
4
1
7
7
7
1
6
6
6
4
6
3
4
1 0
5
6
B 0
23
1
3
1 3
7
4
2
42
32
22
1
2
2
2
4
5
3
2
FEE
5
12
6
3
5
4
2
2
7
6
6
1
1 O
10
1 0
2
39
21
3
3
5
5
5
5
9
5
1
7
2 2
1 O
2
1
5
5 0
23
2
1
1
1
1
8
6 9
1 9
2
4 4
8 5
6
3
1 8
1 1
3
3
2 8
1 2
4
MAR
1
28
28
28
2
7
6
6
1
1 0
1 0
1 0
1
3
3
3
4
8
6
4
3
5
3
2
6
2 0
9
1
2
150
7 7
5
1 4
30
1 3
2
3
396
3 SO
300
4 0
467
2 S
1
7
7
7
2
55
3 4
1 4
2
6
5
5
4
9
5
3
APR
4
6
2
4
58
17
1
3
13
9
5
3
27
17
4
5
29
7
3
4
1
2
1
3
10
7
6
2
3 OO
151
3
7
28
13
6
3
4 3
34
29
17
S 2
1 0
2
1 1
9
8
3
28
18
1 0
3
4
1
6
2 0
S
MAY
6
4
2
4
36
17
2
1
4
4
4
4
9
6
5
5
23
6
1
3
5
1
2
10
5
1
1 2
7 O
1 5
2
2
3
3
3
4
2 O
9
4
2
109
9 0
7 1
1 8
243
3 5
1
1 1
1 1
1 1
2
80
4 4
8
4
4 6
1 2
5
4
1
JUNE
6
6
2
4
18
12
2
3
8
6
4
3
6
3
2
3
1
1
S
5
5
20
4 9
9
3
8
5
1
6
3 8
12
1
52
5 2
5 2
1 9
17
2
1
10
10
10
1
1 3
1 3
13
3
17
10
3
3
4
2
JULY
4
2
1 3
79
13
2
7
7
7
2
7
6
5
2
5
4
3
3
6
3
1
1
1
1
1
1 4
2 0
4
1
2 O
2 0
2 0
1 0
5 4
8
8
5
1
2
1 5
1 3
1 1
2
8
7
6
2
8
4
1
AUG
7
2
13
2 3
6
3
8
6
5
1
10
10
1 0
2
6
4
3
1
5
5
5
4
5
2
9
20
6
4
10
7
4
5
26
7
9
6
1
2
14
1 3
1 3
2
6
5
4
5
2 0
8
4
4
6
3
1
SEPT
6
2
12
25
7
1
7
7
7
1
1 0
10
10
3
5
3
1
4
2
1
8
3 0
8
3
7
3
7
90
2 2
2
1 2
6
1
1
6
6
6
£
7
6
5
4
1 0
6
2
1
1
1
1
ocr
3
2
6
1 2
6
2
3
10
7
6
1
4
4
4
1
30
30
30
5
7
4
2
16
30
9
1
4
4
4
6
26
14
7
8
24
S
2
1 2
1 1
10
1
4
4
4
3
1 0
7
6
1
4
4
4
NOV
1
2
2
2
1
20
2O
20
2
5
5
5
2
4
4
4
1
30
30
30
3
20
10
3
13
40
12
4
2
1
1
1
8
110
26
22
92
3 4
3
200
70
3
2
5
4
3
1
6
6
6
DEC
6
23
7
1
20
20
20
1
3
3
3
1
10
10
1 0
2
15
9
3
8
15
9
6
3
10
5
1
8
170
31
1
6
11
5
1
1
7
7
7
1
1 0
10
1 0
-------
TABLE 13. COPPER—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x Ifr*
151
STATION LOCATION
ST LOUIS MO
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
NEH ORLEANS LA
NUMBER OF SAMPLES
M A X 1 U U U
AVERAGE
Ml N 1 M U U
FT * 0 R T H TEXAS
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
HOUSTON TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N I WU M
BELLAIRE TEXAS
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
DENVER COL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
SALT LAKE CITY UTAH
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
ANCHORAGE ALASKA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 U U M
LOS ANGELES CALIF
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MU M
SAN FRANCISCO CALIF
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
PASADENA CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 U U M
BERKELEY CALIF
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
SA-N JOSE CALIF
NUMBER OF SAMPLES
MAXIMUM
A V E R ' G E
Ml N 1 M U U
SAN LEANDRO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PORTLAND OREGON
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
SEATTLE WASH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
YEARS
55 56
54 55
54 55
54 55
54 55
54 55
54 55
54 55
54
55 56
54 56
54 55
54 56
55 56
54 55
57
JAN
2
5 0
3 5
20
2
1 8
9
2
7 0
4 5
20
3
4
1
2
20
1 5
1 0
3
3
3
3
1
3
3
1
4
20
1 1
3
2
1
4
6
2
3
10
4
2
1
4 0
4 0
4 0
2
9
6
4
FEB
2
1 0
e
7
3
2
1
3
7 0
35
1 7
6
26
7
2
2
1
2
20
1 5
1 O
3
3 0
1 8
4
3
3 9
1 3
1
4
4
4
2
1
6
4 8
1 1
5
3 0
9
6
4
1
1
1
1
1
1
2 0
2 0
2 0
2
4
2
MAR
3
3
1
4
113
6 1
S
6
10
6
2
3
6
2
1
2
2 0
1 5
1 0
2
9
9
9
3
1
3
8
5
3
2
3
9
5
2
4
6
3
2
7
4
2
8
1 6
4
1
6
6
6
APR
2
4 0
25
10
4
3
4
114
42
10
5
7
4
1
2
2
4 0
30
20
2
6
3
4
53
21
4
20
13
1
1
1
1
6
18
9
4
1
7
7
7
2
6 1
32
4
1
1
1
1
4
2
2
4 2
2 3
5
MAY
3
20
1 6
1 O
6
3
5
7 9
2 5
8
8
2
3
1
2
1 0
6
3
2
9
8
8
2
6
4 0
1 2
3
4
2
5
3 8
1 7
1
2
17
8
5
3
1
3
2 7
1 2
3
8
7
6
JUNE
2
1O
9
8
6
2
2
50
40
30
14
24
3
3
5
3
6
20
7
7
2
2
1 8
1 7
17
2
7
3
5
1 1
4
2
5
2 4
5
2
5
4
4
2
6
5
4
JULY
2
10
1 0
1 0
6
5
2
1
2
4 0
2 5
1 0
7
18
7
2
2
5
5
5
2
6
6
6
1
2
2
1
1
5
1 0
3
7
2 9
1 1
5
3
5
3 1
1 2
4
4
3
3
2
6
5
4
2
2 1
1 4
8
AUG
3
1 0
9
9
4
2
2
30
2 5
2 0
3
29
2 1
6
3
2
1
2
S
4
4
2
1 0
7
4
3
2
1
2
1 3
1 1
9
2
1
S
4 1
1 5
2
4
5
4
3
7
5
3
2
2
1 0
7
4
SEPT
1
8
8
8
4
7
3
2
20
2 0
2 0
6
3 3
2 2
1 2
3
2
7
6
6
2
4
3
2
3
3
1
3
4
1 5
1 0
7
3
6
2 5
7
2
1
5
5
5
5
S
2
3
1 3
8
6
OCT
1
7
7
7
4
20
8
2
20
20
20
6
2 2
1 6
8
4
8
4
2
2
9
5
2
2
8
7
6
3
3
2
1
6
3 2
1 1
4
4
4
2
3
7
5
3
2 1
10
2
1
8
8
8
NOV
3
S
4
4
5
3
2
30
25
20
9
31
7
2
7
5
4
1
10
10
10
2
10
9
8
1
5
5
8
2
7
8
2
7
5
2
20
13
3
DEC
2
6
6
6
3
2
2
60
4 5
30
7
1 9
4
3
3
2
2
2
20
1 2
5
3
1 0
7
5
3
1
1
4
1 5
7
6
1 4
5
1
4
4
4
-------
152
TABLE 13. COPPER—SUBURBAN STATIONS
IMICROGRAMS PER CUBIC METER) x 10-'
STATION LOCATION
.'100LE3EX CNTY MASS
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
LAKEHURST N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
KANAWHA CO W VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HAMILTON COUNTY OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DENVER COUNTY COLO
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
YEARS
b 5
55 56
54 55
54 55
54 55
JAN
2
3 0
2 5
2 0
2
7 5
5 2
3 0
1
FEE
1
3 0
3 0
3 0
1
5 2
5 2
5 2
3
2
1
87
8 7
8 7
1
4
4
MAR
2
7 0
5 5
4 0
3
8 6
5 2
2
2
1
1
2
3 d
2 5
1 2
1
2 0
2 0
2 0
APR
3
3 0 0
115
2 0
1
1
J
1
2
1 6
B
1
20
2 0
2 0
MAY
1
3 0
3 0
3 0
2
8 1
4 a
1 S
5
6
2
2
JUNE
3
170
120
7 0
1
5 9
S 9
5 9
3
2 0
6
3
JULY
2
4 0
2 5
1 0
1
5 1
5 1
5 1
3
7
4
3
4
4 1
2 6
1 8
1
4
4
4
AUG
3
690
290
5 0
1
3
3
3
4
4 7
2 7
1 9
SEPT
3
3000
2333
1200
2
9 5
4 9
3
4
2 6
1 8
8
2
4
3
2
OCT
1
820
820
820
1
S 6
56
5 6
2
4
3
3
4
9 2
4 4
2 6
2
3
3
3
NOV
2
210
185
160
2
6 7
4 2
18
1
3
3
3
3
54
3 5
14
1
2
2
2
DEC
3
110
7 3
3 0
1
4 1
4 1
4 1
1
2
194
176
159
1
2
2
2
-------
TABLE 14. IRON—URBAN STATIONS
153
STATION LOCATION
WATERBURY CONN
BOSTON MASS
EVERETT MASS
ELI.ZABETH N J
PAULSBORO N J
CAMDEN N J
PERTH AMBOY N J
TRENTON N J
JERSEY CITY N J
NEK YORK N Y
PHILADELPHIA PA
ALTOONA PA
BRISTOL PA
CHESTER PA
ERIE PA
PITTSBURGH PA
KILLIAMSPORT PA
WASHINGTON DC
LOUISVILLE KY
BALTIMORE MO
CHARLESTON * VA
.TAMPA FLA
CHATTANOOGA TENN
SITE
1
1
1
1
1
1
1
1
1
1
1
a
3
i
i
i
i
3
4
5
6
7
1
1
1
1
1
1
1
2
1
1
1
2
2
2
3
1
1
^
1
1
3
4
YEARS
S 5
56
55 56
55
5 5
55 56
55 56
55 56
55 56
55 56
55 56
54 56
54 55
54 56
5 4
55
56
54 56
54
5 6
5 6
56
56
5 4
5 5
56
54 56
56
55 56
55 56
56
56
55 56
5 4
55 56
54 56
54
5 5
54 55
54
5 5
54 55
54
5 4
5 5
54 55
5 7
54
5 b
54 55
54 55
54 56
5 5
55 56
55 56
No. OF
SAMPLES
1 4
22
36
2 3
2 6
2 1
2 5
2 1
2 3
1 7
2 3
5 0
2 4
7 5
6
9 4
1 1
111
4
1 1
9
1 1
1 1
1 0
9 4
5 3
157
1 3
1 8
1 8
2 5
2 1
23
2 6
20
46
22
2 1
4 3
1 3
1 0
2 3
5
4 0
3 1
7 1
1 8
1 1
1 6
2 7
3 0
3 6
1 4
18
3 2
(MICROGRAMS PER CUBIC METER) x Ifr1
MIN
5
36
1
2 5
2 5
1
2
3 4
2
2
3
2
2
7
1 2
3 4
MAX
1 5
1 9
1 9
1 7
3 7
1 3
2 6
3 2
8 2
3 4
7 3
107
67
107
157
3 5
1 5
157
66
4 4
1 6
1 9
2 3
157
35
4 4
157
1 8
1 5
2 5
18
160
6 6
101
3 9
101
110
5 8
110
2 0
6 3
6 3
80
110
6 3
110
130
8 1
2 3
8 1
54
7 3
1 3
3 3
3 3
AVG
7
6
7
5
9
1
2
6
6
5
1 0
4 0
1 8
3 3
7 3
9
7
1 3
5 1
1 0
4
4
7
6 4
9
6
1 2
6
2
7
5
3 5
2 0
5 9
1 3
3 9
2 8
1 6
2 2
8
2 0
1 3
4 2
2 3
1 7
2 0
3 0
5 8
g
2 8
1 3
2 6
5
1 3
9
FREQUENCY DISTRIBUTION— PERCENT
10
4
1
1
1
2
1
1
1
1
1
3 5
2
1
2
1
1
28
2
1
1
1
1
2
3
4 5
3
7
2
2
2
2
2
2
7
3
2
2
1 3
3 5
2
1
4
1
2
1
20
5
1
2
1
3
1
2
4
2
3
3 5
4
2
3
2 8
1
1
1
1
3 5
4
1
3
2
2
2
12
5
4 8
6
9
5
3
4
3
4
3
7
5
3
4
18
37
2
3
1
5
2
5
2
30
5
2
4
2
4
1
2
1
1
2
6
3
5
3 7
5
3
5
2 8
3
1
1
3
37
5
2
4
3
1
2
3
17
6
51
7
1 3
8
4
6
3
4
4
4 0
6
4
6
20
4 3
-i
4
2
1 1
2
6
3
40
6
3
5
2
6
1
1
3
1
1
3
9
6
8
37
6
4
6
5 4
3
1
2
3
5 3
6
3
6
5
1
4
3
2 2
9
53
8
34
1 1
6
8
6
1 1
6
4 0
7
6
7
2 2
4 7
13
4
1 3
3
7
5
50
6
5
5
4
7
1
1
4
1
3
4
2 7
7
2 0
58
7
5
8
5 4
6
3
3
4
5 5
7
4
7
6
1
7
4
2 8
1 5
5 6
1 0
4 5
1 5
1 5
1 5
6
1 2
7
4 3
1 1
1 5
1 2
2 4
6 3
1 5
6
1 8
3
1 0
7
60
7
6
7
6
9
1
1
4
1
3
5
6 0
8
4 4
67
9
8
9
5 4
8
3
3
6
58
9
5
8
7
1
9
5
3 1
21
60
1 2
5 1
i 7
17
1 7
7
1 8
1 1
4 3
16
1 7
1 6
26
6 7
2 4
8
3 2
4
1 2
8
70
1 0
9
9
7
1 0
1
2
5
3
5
6
6 9
2 0
59
6 7
1 1
1 1
1 1
5 8
1 0
4
6
6
6 3
1 1
7
1 1
7
2
1 0
6
3 7
2 6
6 3
1 3
5 5
2 1
18
2 1
7
2 1
1 5
5 0
2 0
2 1
2 0
2 7
7 7
4 3
1 5
3 7
7
1 5
1 1
80
10
10
10
9
12
2
3
6
5
8
10
7 9
4 7
69
103
1 3
12
1 5
5 8
1 3
6
7
12
6 7
1 3
11
15
8
2
10
8
50
34
7 0
20
62
SO
2 8
35
12
3 5
18
50
4 3
3 2
36
2 8
81
6 3
2 4
4 7
8
21
1 3
90
1 3
1 5
1 4
1 2
1 3
4
7
1 5
1 2
8
2 1
8 6
5 8
8 3
103
1 8
1 4
25
6 7
2 8
1 0
7
2 1
103
1 8
1 8
2 6
1 2
4
1 2
12
67
4 3
7 5
3 5
7 O
7 7
3 7
5 4
1 8
3 7
3 5
8 9
5 8
37
5 0
3 2
8 5
7 7
3 5
5 0
1 3
3 0
2 8
-------
154
TABLE 14. man— URBAN STATIOMS
ST&U« leCATOfcl
CHICAGO ILL
EAST ST LOUIS ILL
EAST CHICAGO IND
DETROIJ" MICH
CINCINNATI OHIO
YOUNGSTO»N OHIO
MILWAUKEE WIS
MINNEAPOLIS MINN
KANSAS CITY MO
ST LOUIS MO
NEW ORLEANS LA
FT WORTH TEXAS
LAKEKORTH TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
DENVER COL
OTi
1
1
1
3
3
2
3
4
1
3
1
3
3
4
1
1
1
1
3
4
5
1
1
1
a
3
4
1
1
3
1
1
1
1
1
1
1
1
1
3
TiASS
54
55
54 55
54
55
54 55
5 4
55
54
5 5
54 55
55 56
55 56
55 56
55 56
55 56
55 56
55 56
55 56
53 54
54
55
54 55
54
54
5 4
5 4
5 5
54 55
57
57
54 55
54 56
54
55 56
54 56
55 56
54 55
54 55
54 55
54 55
5 4
5 4
55
54 55
5 4
55
54 55
54 55
54
5 4
55
54 55
No. W
SAMPLES
4
2 8
32
30
26
5 6
3
29
37
83
1 2 O
1 5
1 4
29
1 9
3 6
2 1
2 0
86
31
6 9
27
96
2 e
1 8
26
133
2 7
160
1 2
1 9
3 5
2 5
5
9
39
3 3
2 6
2 4
5 0
3 1
6
26
56
82
21
1 4
3 5
2 3
3
1 0
16
36
(MJCBOGSAMS PH CUBIC METS! x 1CT1
J4IM
4 4
2 6
6
6
54
26
4
1
1
3
4
6
3
3
1
1 8
3
2 4
9
2
2 4
1
1
3
2 2
3
1
1
1
4 3
7
MAX
8 0
5 O
8O
155
76
155
62
120
155
120
155
100
4 4
100
300
100
9 9
110
300
142
99
8 9
9 9
96
104
127
127
89
127
500
140
89
6 8
6 1
34
68
29
3 5
4 0
4 0
105
7 1
8 5
2 9
8 5
4 9
1 3
4 9
5 3
5 3
5 3
5 3
5 3
AVG
6 1
1 5
2 O
8 4
3 4
6 1
5 8
2 1
8 0
2 3
4 0
3 8
17
28
6 0
3 1
30
2 9
3 6
7 6
4 4
21
37
5 6
4 9
5 9
4 9
21
4 5
18 6~
3 2
24
2 5
39
9
2 3
1 4
5
7
6
1 6
4 1
3 4
9
1 7
1 1
4
8
1 4
4 8
2 2
1 6
1 8
SSaUEWCY WSTMBUHOW— dSCEWf
10
2
2
45
10
18
1
47
2
4
21
1
4
9
6
7
3
6
8
19
3
6
4 4
4
26
18
3
8
24
9
3
6
24
1
2
4
1
1
1
3
23
6
2
3
3
1
1
2
7
2
3
20
SO
3
3
5 4
15
26
54
4
52
6
8
23
5
12
17
7
11
7
10
2 4
2 3
4
14
47
20
37
25
4
19
38
13
5
9
3 4
2
6
8
1
2
1
3
33
13
3
3
3
1
2
3
4 3
7
2
30
50
5
8
67
22
37
54
7
58
9
1 4
26
6
18
21
18
1 4
1 0
1 6
4 3
30
9
21
50
21
4 7
4t>
9
26
111
18
9
1 1
32
3
1 0
9
1
3
3
4
24
3 6
4
c
5
1
T
7
4 3
7
49
58
8
10
72
24
46
54
9
67
13
31
28
15
23
32
24
17
20
3 1
55
43
11
26
53
4 0
54
46
11
43
119
2 1
9
13
32
3
12
9
2
4
2
c
2 4
28
C
7
6
£
c
s
4 3
6
10
so
58
1 1
1 3
77
3O
5 6
58
14
74
16
30
3 5
1 7
2 4
5 3
27
3 3
2 3
3 6
86
4 7
1 4
4 1
5 5
4 5
6 4
5 0
1 4
47
137
2 3
1 2
2 1
4 0
3
30
1 3
£
C
T
6
2 8
3 3
7
1 0
8
c
6
1 3
5 0
1 0
1 3
69
58
14
IS
95
37
68
58
1 5
8 3
22
4 3
37
18
2 5
5 5
31
3 4
32
33
103
5 1
1 7
4 7
5 8
50
7 0
56
17
5 2
158
24
1 5
2 8
4 0
3
26
1 5
3
C
4
7
54
36
8
1 4
1 1
•j
7
1 4
50
1 4
1 4
79
67
18
24
103
43
75
58
2 0
97
29
5 4
4 3
2 3
3 4
61
3 7
3 7
37
45
110
5 6
2 4
5 2
6 1
6 4
7 3
6 1
24
59
210
38
3 7
3 5
43
7
3 3
18
T
6
C
1 7
54
3 7
1 ]
2 0
1 2
6
1 1
1 4
5 0
1 4
1 5
30
67
24
40
115
54
97
58
35
111
38
69
SO
23
40
67
4 8
47
45
5 3
117
6 2
4 3
60
6 3
67
77
66
43
65
335
37
50
37
4 3
15
37
2 1
6
8
6
23
5 8
50
1 5
30
1 3
7
13
15
50
3 2
37
«0
89
3 2
5 0
128
63
115
67
5 4
124
5 4
97
67
2 8
50
103
58
5 8
50
66
138
69
4 8
67
6 6
98
85
7 7
4 8
7 5
375
50
6 7
58
67
2 1
SO
3 8
6
1 3
1 3
4 3
58
6 3
1 9
3 7
3 8
1 2
1 5
37
5 8
5 0
37
4 7
-------
TABLE 14. IRON—URBAN STATIONS
155
STATION LOCATION
SALT LAKE CITY UTAH
ANCHORAGE ALASKA
LOS ANGELES CALIF
SAN FRANCISCO CALIF
PASADENA CALIF
BERKELEY CALIF
SAN JOSE CALIF
SAN LEANORO CALIF
PORTLAND OREGON
SEATTLE WASH
SITE
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
5
4
1
YEAIS
54 55
54 55
54
55 56
54
C C
3 9
56
54 56
54 55
54
55
56
54 56
55 56
54
55
54 55
54
54
5 4
54
55
54 55
57
No. OF
SAMPLES
31
40
1 9
3 2
2 1
P 1
G J.
4
46
34
26
12
20
56
3 0
20
19
39
1 5
1 0
1 0
5 5
19
74
20
(MICtOGIIAMS PER CUBIC METER) x W
MM
2
26
i a
4
2
1 6
4 3
1 2
6
6
'l 1
MAX
59
998
114
B
59
1 8
59
52
64
38
35
64
4 4
6 6
4 2
6 6
98
63
32
98
4 2
98
100
AVG
21
8 5
6 3
2
4 0
7
24
21
25
1 8
1 2
19
9
4 1
17
29
6 8
35
1 9
4 3
17
3 7
38
FtfOUENCY MSTMBimON— FBtCENT
10
4
2
37
2 1
4
5
5
1
2
3
2
20
1
6
50
12
6
15
1
7
11
20
9
13
43
2 8
1
5
9
14
2
5
5
3
2 6
6
15
52
15
9
21
6
16
15
30
1 2
21
48
1
3 2
1
8
1 0
1 7
4
7
10
5
3 3
7
19
56
2 3
1 4
27
7
21
24
40
15
47
58
1
35
5
12
13
19
10
9
13
6
36
15
23
58
24
15
35
15
26
33
SO
1 7
58
6 3
2
4 3
8
5
2 1
1 4
20
2 1
10
18
7
4 3
19
29
72
32
1 8
4 4
19
32
3 5
60
20
67
6 5
3
50
1 1
5
29
1 5
23
25
1 1
2 1
9
4 7
20
33
77
43
21
4 9
20
4 0
37
70
2 4
92
7 0
3
5 2
In
&
7
35
28
26
27
1 3
2 5
1 0
5 0
23
37
8 2
47
25
5 4
23
49
47
(0
31
103
75
5
55
2 1
7
47
39
40
32
2 3
27
1 2
54
2 9
4 7
84
50
27
60
29
5 5
54
90
50
158
8 9
6
57
3 4
1 8
5 3
4 5
50
3 7
2 6
3 9
1 8
5 8
3 2
5 4
8 9
5 8
2 8
7 9
32
72
67
486455 O -58 -11
-------
156
TABLE 14. IRON—URBAN STATIONS—TOTALS
STATE OR REGION
CONNECTICUT TOTAL
ulASSACHUSETS TOTAL
NEW JERSEY TOTAL
NEW YORK TOTAL
PENNSYLVANIA TOTAL
DIS COLUMBIA TOTAL
KENTUCKY TOTAL
MARYLAND TOTAL
iVEST viRGIiiA TOTAL
FLORIDA TOTAL
GEORGIA TOTAL
TENNESSEE TOTAL
ILLINOIS TOTAL
INDIANA TOTAL
MICHIGAN TOTAL
OHIO TOTAL
WISCONSIN TOTAL
MINNESOTA TOTAL
MISSOURI TOTAL
LOUISIANA TOTAL
TEXAS TOTAL
COLORADO TOTAL
UTAH TOTAL
ALASKA TOTAL
CALIFORNIA TOTAL
OREGON TOTAL
WASHINGTON TOTAL
NEW ENCLND TOTAL
MID nTLNTC TOTAL
MID EAST TOTAL
SOUTH EAST TOTAL
MID WEST TOTAL
CRT PLAINS TOTAL
GULF SOUTH TOTAL
ROCKY MNTN TOTAL
PAC COAST TOTAL
GRAND TOTAL
YEARS
55 56
5 5
55 56
54 56
54 56
54 56
54 55
5 7
54 55
54 55
54 56
55 56
54 56
55 56
53 54
54 57
5 7
54 55
54 56
54 55
54 55
54 55
54 55
54 55
54 56
54 55
5 7
55 56
54 56
54 57
54 56
53 57
54 56
54 55
54 55
54 57
53 57
No. OF
SAMPLES
3 6
4 9
130
7 5
275
4 6
7 1
1 6
2 7
3 0
2 6
3 2
149
8 6
3 1
172
1 9
3 5
6 2
5 0
154
2 6
3 1
1 0
220
7 4
2 0
8 5
480
162
8 8
457
9 7
204
5 7
354
1985
(MICROGRAMS PER CUBIC METER) x Ifr1
MIN
2
1 2
3
1
9
2
i 1
MAX
1 9
3 7
8 2
107
160
101
110
130
8 1
5 t
1 3
3 3
1 5 5
300
142
500
140
8 9
6 8
4 0
105
5 3
5 9
998
114
9 8
100
3 7
160
130
7 3
500
8 9
105
5 9
998
998
AVG
7
7
5
3 3
1 2
3 9
2 0
3 0
2 8
1 3
2 6
9
3 8
3 6
7 6
5 4
3 2
2 4
3 0
6
1 5
1 8
3 1
8 5
2 0
3 7
3 8
7
1 4
2 3
1 5
4 6
2 1
1 3
2 0
3 2
2 6
FREQUENCY DISTRIBUTION— PERCENT
10
1
1
1
1
7
2
1 3
2
1
4
1
4
6
8
9
9
3
3
1
2
2
4
2
1
7
1 1
1
1
3
1
6
3
1
3
2
2
20
2
2
3
2
9
4
1 8
3
1
5
2
9
1 0
2 4
20
1 3
5
7
1
3
3
9
1 3
4
1 6
1 5
2
1
5
2
1 3
6
2
6
5
4
30
4
3
1
5
3
1 3
6
2 0
4
2
1 1
3
1 4
1 6
4 3
2 8
1 8
9
9
2
4
7
1 2
2 1
6
2 1
2 4
3
2
q
4
2 0
9
3
1 0
9
7
40
5
4
1
8
5
3 4
7
2 2
1 3
4
1 3
5
2 2
2 1
5 5
4 3
2 1
g
1 1
2
6
1 0
1 5
4 7
9
2 6
3 3
4
3
1 3
6
2 6
1 0
5
1 3
1 4
1 1
50
5
6
2
2 0
7
4 5
1 2
2 4
1 5
6
1 8
7
2 7
2 6
8 6
4 8
2 3
1 2
1 4
3
8
1 3
1 7
5 8
1 2
3 2
3 5
6
5
1 8
1 0
38
1 3
6
1 5
2 0
1 6
60
7
7
3
4 4
8
5 1
1 6
2 6
2 4
8
3 2
8
38
3 3
103
5 4
2 4
1 5
2 0
4
1 1
1 4
2 0
6 7
1 9
4 0
3 7
7
7
2 6
1 2
4 7
1 9
8
1 7
2 8
2 2
70
9
9
4
5 9
1 1
5 5
2 0
2 7
4 3
1 5
3 7
1 1
4 9
4 5
110
6 1
2 8
3 7
2 6
5
1 8
1 5
2 4
9 2
2 6
4 9
4 7
9
1 1
3 8
1 9
5 6
2 8
1 3
2 1
3 9
3 3
80
1 0
1 1
6
6 9
17
6 2
36
2 8
6 3
2 4
4 7
1 3
6 3
5 3
117
6 9
37
5 0
3 3
6
26
37
3 1
103
3 8
5 5
5 4
1 1
1 9
S 1
3 0
6 7
3 6
22
32
5 1
4 5
90
1 4
1 3
1 4
3 3
3 0
7 0
5 0
3 2
77
3 5
5 0
2 8
9 1
6 6
128
9 3
50
67
4 1
1 3
4 0
4 7
50
158
5 2
7 2
67
1 4
" 3
6 6
4 0
9 7
5 2
3 6
4 8
6 6
6 5
-------
TABLE 14. IRON—SUBURBAN AND NONURBAN STATIONS
157
STATION LOCATION
SUBURBAN
MIDDLESEX CNTY MASS
LAKEHURST N J
KANAWHA CO * VA
HILLSBOROUGH CO FLA
FULTON CO GEORGIA
HAMILTON COUNTY OHIO
TONKA BAY MINN
DENVER COUNTY COLO
SALT LAKE CO UTAH
MULTNOMAH CNTY ORE
GRAND TOTAL
NONURBAN
PT KORONZOF ALASKA
SITE
1
i
l
i
i
i
i
i
l
i
YEARS
5 5
55 56
54
54
54 55
54
54 55
54
5 4
54 56
55 56
No. OF
SAMPLES
2 3
1 9
4
7
36
9
1 0
5
1 2
148
1 2
(MICROGRAMS PER CUBIC METER) x Ifr1
MIN
20
1 0
4
3 2
3
1
2
2
MAX
1 4
2 1
36
4 5
7 5
84
2 5
4 7
4 7
8 4
2 3
AVG
2
3 0
2 9
2 6
4 6
1 4
30
27
1 9
7
FKOUENCY DISTRIBUTION— PBtCiNT
10
1 0
5
30
3
1
a
2
20
1
21
10
7
32
5
1
13
1
2
30
1
2 1
26
1 0
37
6
32
20
3
2
40
1
32
28
12
4 0
12
32
2 1
6
5
SO
2
32
3 0
1 5
4 3
1 6
3 7
2 9
1 2
5
60
3
32
30
2 4
4 3
1 7
37
31
1 9
6
70
4
35
3 2
3 5
47
17
4 3
3 2
3 0
8
80
4
35
37
47
5 0
1 8
4 3
40
37
9
90
5
37
37
S 5
67
2 1
50
4 3
4 9
1 3
-------
158
TABLE 14. IRON—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x JO-1
STATION LOCATION
WATERBURY CONN
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
BOSTON MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
EVERETT MASS
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MU M
ELIZABETH N d
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PAULSBORO N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
CAMOEN N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
PERTH AMBOY N d
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
TRENTON N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
dERSEY CITY N d
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
N E • YORK N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
PHILADELPHIA PA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MU M
ALTOONA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
BRISTOL PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHESTER PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
ERIE PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
PITTSBURGH PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
YEARS
55 56
55
55
55 56
55 56
55 56
55 56
55 56
55 56
54 56
54 56
5*
55 56
55 56
56
56
JAN
2
5
2
1
17
1 7
17
3
4
3
3
3
1
2
7
6
6
2
6
4
2
3
5
1
3
1
2
3
2
2
4
7 3
27
3
20
157
20
3
6
3
3
31
21
11
FEB
2
9
7
5
2
7
5
3
3
37
1 5
1
2
4
3
2
3
1 4
6
1
1
1
1
1
2
7
4
2
3
21
16
6
5
22
8
1 6
9 3
15
1
5
5
5
1
2
2
2
1
10
10
10
1
2
2
2
3
3 8
1 8
4
MAR
4
1 0
4
2
4
2
1
3
1 4
8
2
3
1 3
4
3
26
9
3
25
1 1
3
4
27
7
1
5
5
S
4
3 5
14
5
S
95
52
2
1 4
37
9
3
1
7
7
7
1
2
2
2
2
4
3
2
•J
8 9
59
28
APR
5
10
3
1
1
6
6
6
5
4
1
5
15
3
2
32
16
5
82
18
1
34
34
34
4
73
20
1
8
66
36
15
66
15
2
5
2
1
2
10
7
4
3
8
3
MAY
3
1 1
7
S
1
6
6
6
2
31
2 1
11
1
2
2
1
1
5
7 4
4 9
8
1 9
6 3
12
3
9
6
2
2
2
5
2
2
2
2
2
JUNE
3
5
3
2
10
5
3
12
8
4
1
1
2
2
2
1
2
9
6
3
10
8 1
26
12
27
12
2
2
10
6
2
1
5
5
5
3
30
2 2
1 8
JULY
3
1 0
9
7
2
6
4
2
3
1 2
7
4
1
4
1
4
4
4
1
2
3
1
2
7
86
42
1
1 3
2 2
6
2
S
3
2
2
19
10
1
1
4
4
4
2
2
1
AUG
4
1 S
9
S
4
1 1
4
2
2
1 0
5
2
2
2
2
1
2
6
5
5
2
3
3
3
1
2
17
10
3
S
76
2 1
1
1 3
32
11
3
1
18
1 8
18
1
3
9
6
2
SEPT
1
5
5
5
1
1 4
1 4
14
2
8
5
3
1
2
3
2
3
3
2
1
1
3
3
3
6
53
27
4
1 0
1 2
7
3
2
7
5
3
4
15
5
4
2 5
1 2
4
3
18
9
3
2
50
4 3
36
OCT
4
19
1 1
3
2
1 1
10
9
1
12
12
12
2
2
1
2
4
3
3
2
1
2 1
2 1
2 1
6
107
54
6
8
10
6
3
3
1 1
5
2
1
1
2
2
2
4
1 2
5
2
55
39
23
NOV
3
17
11
7
2
5
4
4
1
7
7
7
1
1
1
1
3
11
3
1
4
4
4
1
2
2
2
7
88
37
a
8
11
6
3
^
8
8
2
4
2
2
17
11
6
2
160
91
22
DEC
2
14
10
6
1
8
8
8
2
13
11
9
2
7
3
1
3
2
2
3
6
5
4
2
5
2
3
8
6
3
2
5
3
2
7
81
33
9
26
10
3
2
3
1
1
1
12
12
12
3
13
7
4
1
33
32
32
-------
TABLE 14. IRON—URBAN STATIONS
159
(MICROGRAMS PER CUBIC METER)
STATION LOCATION
WILLIAMSPORT PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
WASHINGTON DC
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
LOUISVILLE KY
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BALTIMORE MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHARLESTON W VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TAMPA FLA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
CHATTANOOGA TENN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHICAGO ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EAST ST LOUIS ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EAST CHICAGO INO
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
DETROIT MICH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N I MU M
CINCINNATI OHIO
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
YOUNGSTOWN OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
MILWAUKEE WIS
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
MINNEAPOLIS MINN
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
YEARS
55 56
54 56
54 55
57
54 55
54 55
54 56
55 56
54 55
55 56
55 56
53 54
54 55
57
57
54 55
JAN
1
2 0
2 0
2 0
2
1 2
7
3
1
2 5
2 5
2 5
2
5
2
1
3 7
3 7
3 7
1
4
4 9
2 1
3
4
4 2
2 0
3
6
300
6 0
6
3
7 0
2 6
2
2
2 6
2 2
1 8
1
9
9
9
FEB
3
6 6
3 7
9
6
6 1
3 1
8
3
2 1
9
4
2
26
2 4
2 2
1
1 5
1 5
1 5
2
1 4
1 1
8
3
1 2
8
3
5
1 5
7
7
76
4 4
1 4
2
2 3
1 2
1
5
3 2
1 5
3
1
2 2
22
2 2
8
4 7
1 9
1
2
140
7 4
9
3
4
1
MAR
1
3 4
3 4
3 4
1
50
5 0
5 0
1
3 3
3 3
3 3
2
3 1
2 7
2 4
3
8 1
5 0
5
3
3 0
1 7
6
7 3
3 8
1 3
3
1 1
9
7
6
3 0
1 4
2
100
6 1
2 3
1 4
98
3 9
4
3
137
130
119
4 3
127
57
1
7 5
7 5
7 5
2
4 6
2 8
1 0
4
8 9
5 7
1 5
APR
2
27
24
2 1
5
101
5 0
7
6
7 0
4 3
4
3
130
5 5
12
5
79
5 3
34
5
54
2 0
5
4 7
29
4
2
5
2
3
5 4
32
2
6 1
4 2
2 3
7
110
4 5
19
4
133
105
85
2 0
99
54
9
2
300
205
110
3
94
55
30
5
68
48
1 1
MAY
3
4 1
2 4
1 0
6
7 4
2 9
2
4
110
7 8
3 3
1
1 4
1 4
1 4
5
7 2
3 8
-3
5
3 5
1 9
3
6 4
3 7
4
2
2 9
2 1
1 3
1 2
107
4 1
3
2
4 4
2 7
1 1
4
100
6 2
36
2
112
9 7
8 3
2 2
7 2
4 5
3
1
130
130
130
2
2 6
2 1
1 6
4
5 1
4 0
3 5
JUNE
2
4
3
2
6
7 8
4 6
8
4
80
30
7
3
30
2 5
20
3
5 0
2 5
2
2
4 1
22
4
1
1 1
1 1
1 1
20
155
5 1
6
3
36
3 1
2 4
6
9 9
4 5
7
1
117
117
117
1 9
9 0
56
1 4
1
2 4
2 4
24
1
9
9
9
3
4 4
19
6
JULY
1
4 4
4 4
4 4
4
7 7
5 0
1 3
1 3
6 3
1 5
2
2 6
2 2
1 8
2
4
4
4
2
3
2
1
3
1 3
6
1
5
5
5
14
134
4 5
1
4 7
4 7
4 7
1 0
4 6
2 4
4
8
6 8
39
3
2
210
160
110
2
2 3
2 1
19
AUG
1
21
2 1
2 1
7
69
3 5
3
1 3
3 6
1 3
3
5 4
29
1 3
1
22
2 2
2 2
2
2 0
1 4
8
1
1 1
1 1
1 1
4
1 0
5
3
9
7 1
29
6
4
39
2 9
2 4
5
7 8
3 5
1 1
9
5 9
3 2
4
2
360
300
240
2
2 4
1 8
1 3
5
2 2
1 0
5
SEPT
3
36
2 6
1 5
6
72
4 4
1 0
1 2
4 8
1 6
2
1
2 4
2 4
2 4
1
1 3
1 3
1 3
3
1 2
9
5
4
27
1 3
4
8
6 2
36
2
3
5 5
2 5
6
7
6 0
4 0
1 9
1 2
5 1
2 6
1
2 5
2 5
2 5
2
3 3
2 6
2 0
4
1 7
1 3
9
OCT
2
8
5
3
3
59
4 4
1 5
6
28
9
4
3
1 2
6
4
1
7
7
7
1
6 2
6 2
6 2
5
3 3
1 4
2
1 6
120
4 6
4
1
5
5
5
6
100
50
2 5
7
8 9
2 4
2
500
325
150
1
2 2
2 2
2 2
3
1 2
8
3
NOV
3
15
9
6
1
4
4
4
1
5
5
5
2
2
1
2
2
2
2
1
18
18
18
3
8
5
2
13
127
35
2
28
23
18
8
40
14
3
20
142
6 1
1
3
7 4
36
10
2
3
2
1
DEC
2
6
5
5
6
3 6
1 2
2
1
1 5
1 5
1 5
1
2
2
2
1
20
2 0
2 0
2
30
1 6
3
8
103
5 4
29
3
23
2 0
1 8
8
120
27
3
6
38
2 5
1 6
1
1 0
1 0
1 0
-------
160
TABLE 14. IRON—URBAN STATIONS
IMICROGRAMS PER CUBIC METER) x
STATION LOCATION
KANSAS CITY MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
ST LOUIS MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NEW ORLEANS LA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
FT WORTH TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HOUSTON TEXAS
NUMBER OF SAMPLES
MAX! MUM
AVERAGE
Ml N 1 M U M
BELLAIRE TEXAS
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
DENVER COL
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
SALT LAKE CITY UTAH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ANCHORAGE ALASKA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LOS ANGELES CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
SAN FRANCISCO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
PASADENA CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BERKELEY CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
SAN JOSE CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN LEANDRO CALIF
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MUM
PORTLAND OREGON
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
SEATTLE HASH
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
YEARS
54 56
55 56
54 55
54 55
54 55
54 55
54 55
54 55
54 55
54
55 56
54 56
54 55
54 56
55 56
54 55
5 7
JAN
4
3 4
1 9
3
2
3 7
1 7
7
2
2
1
2
6
5
5
1
3 8
3 8
3 8
3
1 3
5
1
2
1 3
7
2
3
2 7
1 3
£
1
1 4
1 4
1 4
3
3
2
4
3 5
1 4
5
3
1 3
7
4
4
3 5
3 6
1 1
3
6
2
1
1 6
1 6
1 6
2
5 7
5 1
4 5
FEB
2
2 6
2 2
1 8
2
2 9
1 7
5
3
6
3
2
2
7
5
3
7
3 7
1 9
4
3
1 2
6
1
2
3
2
2
3
4 5
2 7
1 8
2
1 3
6
1
2 6
2 6
2 6
2
6
5
5
5
3 2
1 8
4
3 5
2 2
1 5
6
3 8
2 0
7
1
3
3
3
2
6 6
6 1
5 7
2
3 6
2 3
1 1
MAR
8
6 8
3 7
8
3
2
1
4
105
4 4
3
9
8 5
2 1
4
9
6
3
2
5 3
4 4
3 5
2
2 9
2 1
1 4
4
6 1
2 9
4
114
9 3
7 2
2
3
1
2
5 2
3 1
1 1
3
6 4
2 3
2
2
8
6
4
9
7 1
3 8
1
3 4
3 4
3 4
APR
7
6 1
2 9
7
2
9
8
8
4
3
2
1
4
4 6
1 9
4
5
4 7
1 3
2
5
3
2
2
4 8
3 1
1 5
2
20
1 5
1 0
8
998
195
2
4
8 4
6 8
5 6
1
5
5
5
6
5 1
2 6
6
2
52
4 5
39
2
6 1
5 2
4 3
1
4
4
4
4
4 7
3 4
1
2
24
1 7
1 1
MAY
5
3 7
1 5
1
3
1 6
8
6
3 4
1 2
5
3 8
2 0
3
8
3 6
1 7
4
3
3 2
1 2
2
2
1 5
1 0
6
2
29
1 5
2
4
183
115
6 7
6
7 3
5 2
3 6
3
6
5
4
5
5 5
2 2
2
4 9
4 5
4 2
5
5 1
2 2
5
1
7
7
7
3
7 0
5 6
4 3
3
100
7 0
3 4
JUNE
3
38
2 0
5
2
1 4
1 3
1 3
6
4 0
1 5
2
2
1 8
17
1 7
1 4
6 8
2 8
3
4 9
17
2
5
5 3
32
3
6
5 9
3 9
5
7
165
7 0
2 0
2
6 6
5 4
4 3
2
8
6
5
5
5 9
3 5
2
4 5
2 9
1 3
5
4 0
1 5
2
2
1 9
1 8
1 8
2
5 1
3 8
2 5
JULY
2
6
4
3
2
2 0
1 2
4
6
6
4
2
2
4
3
3
7
2 8
7
2
1 4
9
5
2
3 1
1 9
8
2
19
1 4
9
1
149
149
149
2
4 5
4 4
4 4
5
7
2
7
3 8
2 2
5
3
4 9
2 6
9
5
2 8
1 3
4
1 4
1 0
7
2
2 9
2 2
1 6
2
6 6
5 6
4 7
AUG
4
4 7
2 1
2
3
2 5
1 8
1 0
4
8
5
3
2
8
7
6
3
1 2
7
3
3
2 5
1 5
8
2
1 4
1 0
7
2
2 3
2 0
1 7
3
111
58
1 6
2
1
1
1
2
2 9
2 5
2 2
2
1 0
1 0
1 0
5
27
2 3
2 0
4
4 4
1 8
9
7
36
1 9
7
2
4 1
2 6
1 1
SEPT
1
1 4
1 4
1 4
1
1 8
1 8
1 8
4
1 3
8
2
1 0
6
3
6
2 6
1 6
5
3
1 2
9
6
2
1 2
9
7
2
1 7
1 6
1 6
3
100
6 6
4 6
3
4
1
4
3 4
1 8
8
3
2 1
1 3
5
6
4 8
2 6
1 4
1
1 0
1 0
1 0
5
4 2
2 1
6
T
3 3
2 2
1 4
OCT
1
2
2
2
1
8
8
8
4
6
3
1
2
6
6
6
6
17
7
3
4
6
4
3
2
1 4
1 4
1 4
2
1 8
1 3
9
3
9 6
6 4
4
3
1
6
5 3
2 9
3
4
1 8
1 0
5
4
2 1
1 6
9
3
1 2
1 0
6
2 1
9 8
4 0
6
1
3 7
3 7
3 7
NOV
1
1 2
12
12
3
13
10
9
5
6
3
2
5
4
4
9
18
9
2
2
6
3
1
1
IS
15
15
2
3 1
17
4
1
7
7
7
5
3
1
5
42
17
6
7
19
9
3
7
23
8
20
86
4 0
16
DEC
1
34
34
34
2
S 9
2 7
26
3
1 2
6
2
2 0
1 3
7
7
61
1 7
3
3
1 3
1 2
1 2
2
1 0
5
3
1 5
11
4
3
24
1 3
2
1
4
39
2 5
1 4
6
26
1 2
1
3
2
2
-------
TABLE 14. IRON—SUBURBAN AND NONURBAN STATIONS
(MICROGRAMS PER CUBIC METER) x Ifr'
161
STATION LOCATION
SUBURBAN
MIDDLESEX C N T Y MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LAKEHURST N U
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
I.I 1 IV I M U M
* A N A W H A CO W VA
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
MINIMUM
HAMILTON COUNTY OHIO
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
DENVER COUNTY COLO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NONURBAN
PT WORONZOF ALASKA
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
YEARS
5 5
55 56
54 55
5« 55
54 55
55 56
JAN
2
3
2
2
2
1
1
2
2
2
FEB
1
1
3
9
3
1
1 3
1 3
1 3
1
3
3
3
MAR
2
1 4
9
4
3
1 3
5
2
7
7
7
4
7 5
4 7
1 4
1
5
5
5
1
2
2
2
APR
3
3 1
7
1
3 2
3 2
3 3
2
5 8
4 6
3 5
1
1 B
i a
i e
i
2
2
2
MAY
1
2
3
2
2
2
1
5
4 5
2 8
4
5
5 5
3 8
2 3
1
9
8
6
JUNE
3
5
2
i
3
5 1
2 B
3
5 6
4 3
3 a
JULY
2
1
1
3
4
7 2
4 1
1 5
1
2 0
3 0
2 0
1
8
8
8
AUG
3
4
3
1
1
4
4
4
4
1 5
1 0
8
2
1 3
9
5
SEPT
3
4
3
2
2
4
1 9
1 1
5
2
1 7
1 4
1 1
1
8
8
8
OCT
i
5
5
5
1
2
2
2
2
4
1 1
8
6
2
2 5
2 1
1 7
1
5
5
5
NOV
2
c
2
2
1
3
6
5
5
1
1 b
1 b
1 0
1
23
2 3
2 3
DEC
3
6
1
1
2
1 4
9
4
1
6
6
6
1
2
2
-------
162
TABLE 15. LEAD—URBAN STATIONS
STATION LOCATION
WATERBURY CONN
BOSTON MASS
EVERETT MASS
ELIZABETH N J
PAULSBORO N J
CAMDEN N J
PERTH AMBOY N J
TRENTON N J
JERSEY CITY N J
N E * YORK N Y
PHILADELPHIA PA
ALTOONA PA
BRISTOL PA
CHESTER PA
ERIE PA
PITTSBURGH PA
WILLIAM SPORT PA
WASHINGTON DC
LOUISVILLE KY
BALTIMORE MO
CHARLESTON * VA
TAMPA FLA
ATLANTA' G A
CHATTANOOGA TENN
SITE
1
1
1
1
1
1
1
1
1
1
1
3
3
1
1
1
1
3
4
5
6
7
1
1
1
1
1
1
1
2
1
i
1
2
2
3
3
1
1
4
1
1
3
4
YEARS
55
56
55 56
5 5
55
55 56
55 56
55 56
55 56
55 56
55 56
54 56
54 55
54 56
54
5 5
56
54 56
54
56
56
56
56
5 4
55
56
54 56
56
55 56
55
56
56
55 56
54
55 56
54 56
54
5 5
54 55
54
5 5
54 55
54
54
55
54 55
57
54
5 5
54 55
54 55
54 56
55
55 56
55 56
u f^
No. Or
SAMPLES
1 4
22
3 6
3 3
26
2 1
2 5
2 1
3 3
1 7
2 3
5 0
2 5
7 6
6
9 4
1 1
111
4
1 1
9
1 1
1 1
1 0
9 4
5 3
157
1 3
18
1 8
25
2 1
23
2 6
20
46
23
2 1
43
1 3
1 0
3 3
5
4 0
31
7 1
1 8
1 1
1 6
3 7
3 1
3 6
1 4
1 8
3 3
MIN
3
1
1
2
1
3
3
1
1
2
2
2
2
5
1
4
1
4
2
3
1
3
4
1
1
1
1
1
2
1
7
5
5
2
2
3
3
3
3
1
1
3
1
3
2
1
1
1
1
1
2
1
MAX
1 3
17
1 7
1 0
170
2 0
1 3
2 2
14
10
2 6
8 9
7 1
8 9
212
2 2
1 5
212
1 9
5 6
18
2 7
4 0
312
3 2
5 6
212
7
1 2
1 2
6
2 7
1 6
39
3 5
39
2 7
130
130
5 5
5 4
5 5
6
5 5
130
130
3 2
2 5
5
2 5
4 3
9 8
8
3 7
2 7
(Ml
AVG
7
5
5
5
1 9
7
3
a
4
3
7
3 4
1 5
3 1
4 7
5
7
8
9
16
5
7
1 3
3 1
5
1 0
8
3'
2
3
2
1 0
9
3 0
1 1
16
1 3
2 5
1 8
2 0
29
24
2
1 3
3 6
19
9
1 0
3
6
8
1 7
3
1 1
8
CROCK
10
3
1
3
2
3
3
3
1
1
3
5
3
4
5
2
3
2
2
1
1
3
4
2
2
2
1
1
2
3
10
5
6
4
3
4
2
3
2
1
3
3
4
3
^
1
2
3
1
5
1
AMS PI
20
3
2
2
3
3
3
1
4
1
1
3
8
5
6
5
3
4
3
4
3
2
2
5
5
2
3
3
1
1
1
1
3
5
11
6
8
5
8
5
4
7
6
4
8
4
5
3
^
3
3
6
1
6
3
•R CUM
HWX
30
4
3
3
3
3
4
1
4
2
1
4
1 1
6
8
7
3
4
3
4
4
2
2
6
6
3
4
3
2
1
1
1
4
6
1 3
7
1 0
6
1 0
7
7
1 3
7
1
5
1 0
6
5
5
2
i
1 0
3
7
C METB
JBKT D
40
5
3
4
3
4
5
1
5
2
2
5
17
7
1 1
7
4
6
4
6
7
4
3
6
6
4
5
4
2
1
1
2
6
7
17
8
1 1
7
1 1
9
7
24
13
1
6
12
9
7
8
g
3
4
1 1
2
9
5
I) x 10-
Known
so
7
4
5
4
5
6
3
7
3
2
6
2 1
9
1 5
7
4
7
5
6
8
4
5
7
7
4
6
5
2
1
3
3
10
1 0
19
9
1 4
9
1 4
1 3
1 6
2 6
2 3
1
7
1 9
1 3
7
9
4
5
1 2
2
1 0
6
i
ON— pe
60
8
4
6
5
6
6
3
8
4
2
7
24
1 2
2 1
20
5
8
5
6
9
4
6
1 2
7
5
7
6
3
2
2
2
1 1
1 1
2 1
1 0
1 8
1 4
19
1 4
23
27
26
1
1 4
23
16
8
1 1
4
6
1 6
3
1 1
8
KB4T
TO
9
5
7
6
1 2
9
4
9
5
6
8
29
14
2 4
2 0
6
8
6
7
19
5
8
1 2
1 9
6
9
7
3
3
3
3
1 2
1 3
2 2
13
2 0
1 5
32
1 9
24
4 1
3 0
3
16
26
2 3
9
1 3
C
7
1 9
C
1 4
9
to
10
8
8
8
17
11
5
13
6
7
9
33
20
32
33
7
9
7
7
20.
5
10
27
20
7
12
9
3
3
4
3
16
14
26
14
22
30
37
3 2
30
5 0
41
3
2 3
4 1
36
9
16
9
11
20
5
1 4
1 2
90
10
1 2
12
9
20
1 6
6
1 5
9
8
1 1
4 5
3 3
4 1
3 3
1 0
1 1
1 1
20
50
7
1 2
30
3 3
10
2 6
1 6
5
4
5
4
30
1 5
3 3
20
2 6
3 5
50
2 7
5 3
5 3
5 3
6
27
5 3
4 8
1 0
1 8
1 3
1 4
2 3
8
1 8
1 6
-------
TABLE 15. LEAD—URBAN STATIONS
163
STATION LOCATION
CHICAGO ILL
EAST ST LOUIS ILL
EAST CHICAGO 1 N D
DETROIT MICH
CINCINNATI OHIO
YOUNGSTOWN OHIO
MILWAUKEE WIS
MINNEAPOLIS MINN
KANSAS CITY MO
ST LOUIS MO
NEW ORLEANS LA
FT WORTH TEXAS
LAKEWORTH TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
DENVER COL
SALT LAKE CITY UTAH
ANCHORAGE ALASKA
LOS ANGELES CALIF
SAN FRANCISCO CALIF
SITE
1
1
1
2
2
2
3
A
1
2
1
2
3
4
1
1
1
1
2
4
5
1
1
1
1
1
2
3
4
1
1
2
1
1
1
1
1
1
1
1
1
2
1
1
YEARS
5 4
5 5
54 55
5 -I
5 5
54 55
5 4
5 5
54
5 5
54 55
55 56
55 56
55 56
55 56
55 56
55 56
55 56
55 56
53 54
54
5 S
54 55
5 4
54
5 4
54
55
54 55
57
57
54
55
54 55
54 56
54
55 56
54 56
55 56
54 55
54 55
54 55
54 55
54
54
5 5
54 55
54
5 5
54 55
54 55
54 55
54 55
54 55
54
55 56
No. OF
SAMPLES
4
2 8
3 2
3 0
2 6
5 6
3
2 9
3 7
B 3
120
1 5
1 4
29
1 9
2 6
2 1
2 0
86
3 3
7 3
37
100
2 0
2 2
2 8
143
2 7
170
1 2
1 9
1 6
2 0
3 6
2 5
6
9
4 0
2 3
2 6
2 4
5 0
3 2
6
2 6
56
8 2
21
1 4
3 5
2 3
26
31
4 2
1 9
32
(MICROGRAMS PER CUBIC METER) x la'
MIN
8
1
1
9
4
4
6
6
4
2
2
2
2
1
1
1
2
2
1
1
4
2
3
2
1
1
1
2
1
1
1
4
4
4
1
1
1
1
2
3
2
4
1
1
4
3
1
MAX
122
3 4
122
9 1
4 7
9 1
1 7
2 8
128
4 7
122
30
4 1
4 1
64
4 2
5 6
6 3
6 4
5 8
146
9 2
146
6 3
2 5
4 7
146
9 2
146
17
61
10
16
1 6
2 1
1 5
4
2 1
3 3
9
2 5
2 5
2 3
1 6
6 9
170
170
8 4
28
8 4
39
3 9
47
5 7
141
3
AVG
4 7
1 1
1 5
3 4
1 8
2 6
1 1
7
3 3
1 2
1 8
1 2
7
9
1 6
1 4
9
9
1 2
24
2 7
1 8
2 5
1 5
1 0
1 4
20
1 8
2 0
4
9
4
5
5
1 0
6
1
8
9
3
4
4
5
7
1 2
4 2
3 3
1 5
6
1 2
1 7
1 5
1 8
1 1
36
1
HtfOUENCY DISTRIBUTION— PERCENT
10
3
3
1 4
7
1 0
1
JL 0
2
3
6
1
2
3
2
2
1
2
15
7
4
6
4
2
4
5
4
5
1
2
2
2
2
5
4
1
4
1
1
1
1
1
6
5
5
5
1
2
5
4
5
1
1 1
20
8
5
5
2 2
1 0
1 3
6
2
1 8
4
5
6
2
3
5
3
3
2
3
18
9
6
8
7
4
6
7
6
7
1
3
3
3
3
7
4
1
3
5
1
1
1
2
1
7
8
7
8
2
3
9
5
10
1
1 3
30
8
6
7
2 3
1 3
1 6
6
3
2 2
5
8
8
2
5
6
7
4
3
4
20
1 1
a
1 0
e
6
6
8
8
8
2
3
3
3
3
8
4
1
4
5
2
1
1
3
4
8
1 2
1 0
9
2
5
1 0
9
1 1
3
1 8
40
2 0
8
10
24
1 4
1 9
6
4
2 3
7
1 1
9
3
6
8
8
5
3
6
2 1
1 4
10
13
10
7
7
10
10
10
2
4
4
4
4
9
4
1
5
6
2
2
2
3
4
9
16
1 1
9
3
8
1 2
10
1 3
5
25
1
SO
2 0
1 1
1 2
2 6
1 5
2 3
1 0
5
2 6
1 0
1 3
1 2
3
8
1 2
1 0
7
4
8
2 2
1 8
1 4
17
1 1
9
8
1 2
1 4
1 3
3
5
4
4
4
1 0
5
1
8
7
3
2
2
3
7
1 0
3 1
1 4
1 1
4
9
1 6
1 3
1 4
7
2 6
1
60
30
1 3
1 3
3 2
1 8
3 5
1 0
6
3 0
1 3
1 6
1 2
5
8
13
1 4
8
5
1 0
33
2 1
1 7
30
1 2
1 0
1 0
1 7
1 7
1 7
3
5
5
5
5
1 0
5
1
9
8
3
3
3
4
9
10
37
2 4
1 2
4
10
1 7
1 7
1 5
9
27
1
70
4 1
1 3
1 4
4 1
1 9
2 7
1 0
8
3 9
1 4
2 2
1 5
6
1 2
1 5
1 8
1 0
7
1 3
2 6
2 6
1 9
2 3
1 6
1 2
1 8
2 0
19
2 0
4
6
5
6
5
1 2
5
3
1 0
1 0
4
3
3
5
9
1 1
5 5
3 3
1 3
8
1 3
3 0
1 8
18
1 1
3 3
1
80
4 1
1 4
1 6
4 5
2 4
3 9
1 0
1 0
4 5
1 6
26
1 6
8
1 3
20
23
11
1 4
1 8
39
4 0
22
3 3
30
17
30
26
22
25
5
10
6
7
7
1 4
8
2
1 3
1 2
5
4
5
7
1 1
1 2
6 5
5 9
1 4
9
1 3
2 2
3 3
23
20
50
2
90
125
1 6
2 2
5 5
2 7
4 8
1 8
1 6
5 5
2 5
4 0
1 8
1 3
1 7
2 7
2 9
1 4
1 8
2 6
3 7
6 8
2 7
5 5
2 2
2 1
3 3
4 6
2 7
4 6
1 2
1 6
7
8
8
1 9
8
3
1 5
1 9
6
1 6
7
1 2
1 1
1 5
9 2
7 3
27
1 3
27
3 3
2 7
4 1
3 1
61
2
-------
164
TABLE 15. LEAD—URBAN STATIONS
STATION LOCATION
PASADENA CALIF
BERKELEY CALIF
SAN JOSE CALIF
SAN LEANDRO CALIF
PORTLAND OREGON
SEATTLE WASH
SITE
1
1
1
1
1
1
1
1
1
1
1
1
1
2
5
4
1
YEARS
5 4
5 5
56
54 56
54 55
54
55
56
54 56
55 56
54
5 b
54 55
54
5 4
54
5 4
55
54 55
57
No. OF
SAMPLES
2 3
2 1
4
4 8
3 5
2 7
1 2
2 0
5 9
3 0
2 0
1 9
39
1 5
1 0
1 0
5 5
1 9
7 4
2 0
MIN
1
1
3
1
2
1
3
1
1
5
5
1
1
3
1 3
5
2
1
1
1
(MICROGRAMS PER CUBIC METER) x 10-'
MAX
266
2 3
1 3
266
193
4 4
3 2
1 6
4 4
2 4
7 1
2 0
7 1
6 1
6 3
4 3
7 1
2 0
7 1
1 6
AVG
5 7
1 0
7
3 2
3 0
1 1
1 2
4
9
1 3
3 2
9
1 6
2 2
3 4
1 9
2 4
9
2 0
6
FREQUENCY DISTRIBUTION — PERCENT
10
18
3
3
6
4
3
1
2
6
8
2
5
4
1 3
5
6
2
5
2
20
2 4
4
3
7
8
5
4
2
3
6
10
5
7
6
16
6
9
5
7
3
30
30
6
2
8
1 1
5
9
2
4
9
1 3
6
9
8
1 7
8
1 3
6
9
3
40
34
7
6
11
14
6
10
3
5
12
1 4
7
10
13
18
9
14
7
1 3
4
SO
4 1
9
6
1 8
2 0
8
1 0
4
6
1 3
1 4
9
1 3
1 8
2 6
1 3
1 7
9
1 5
4
60
4 8
1 0
6
2 3
2 5
9
1 1
4
8
1 4
1 6
1 0
1 4
30
27
1 8
2 2
1 0
1 7
5
70
5 5
1 1
7
3 4
3 7
1 1
1 1
5
1 0
1 5
22
1 1
1 5
3 3
5 3
37
2 7
1 1
2 2
7
SO
6 5
1 6
7
4 5
37
1 4
1 6
6
12
1 8
27
15
1 9
4 1
5 3
33
4 1
1 5
3 3
8
90
139
3 1
1 3
6 5
6 1
1 8
1 8
8
1 6
Z 0
4 5
1 6
2 7
4 5
5 5
37
5 3
1 6
4 5
1 2
-------
TABLE 15. LEAD—URBAN STATIONS—TOTALS
165
STATE OR REGION
CONNECTICUT TOTAL
MASSACHUSETS TOTAL
NEW JERSEY TOTAL
NEW YORK TOTAL
PENNSYLVANIA TOTAL
OIS COLUMBIA TOTAL
KENTUCKY TOTAL
MARYLAND TOTAL
WEST VIRGINA TOTAL
FLORIDA TOTAL
GEORGIA TOTAL
TENNESSEE TOTAL
ILLINOIS TOTAL
INDIANA TOTAL
MICHIGAN TOTAL
OHIO TOTAL
WISCONSIN TOTAL
MINNESOTA TOTAL
MISSOURI TOTAL
LOUISIANA TOTAL
TEXAS TOTAL
COLORADO TOTAL
UTAH TOTAL
ALASKA TOTAL
CALIFORNIA TOTAL
OREGON TOTAL
WASHINGTON TOTAL
NEW ENGLNO TOTAL
MID ATLNTC TOTAL
MID EAST TOTAL
SOUTH EAST TOTAL
MID WEST TOTAL
CRT PLAINS TOTAL
GULF SOUTH TOTAL
ROCKY MNTN TOTAL
PAC COAST TOTAL
GRAND TOTAL
YEARS
S 5 56
5 5
55 56
54 56
54 56
54 56
54 55
57
54 55
54 55
54 56
55 56
54 56
55 56
53 54
54 57
57
54 55
54 56
54 55
54 55
54 55
R A R R
O 4 O D
54 55
54 56
54 55
57
55 56
54 56
54 57
54 56
53 57
54 56
54 55
54 55
54 57
53 57
No. OF
SAMPLES
3 6
4 9
130
76
375
4 6
7 1
1 8
27
3 1
26
3 2
149
8 6
3 3
182
1 9
3 6
6 3
5 0
155
2 6
3-1
_L
4 2
224
7 4
2 0
85
481
162
8 9
469
99
205
5 7
360
2007
(MICROGRAMS PER CUBIC METER) x Ifr1
MIN
1
1
2
5
1
3
1
1
1
1
1
3
1
2
1
1
3
1
1
1
1
1
1
1
MAX
17
170
2 6
8 9
212
3 9
130
3 2
2 5
4 3
9 8
27
122
6 4
5 8
146
6 1
1 6
2 3
2 5
170
3 9
4 V
5 7
266
7 1
1 6
170
212
130
9 8
146
2 3
170
4 7
266
266
AVG
5
1 2
5
2 1
7
1 6
1 9
9
6
8
1 7
8
1 7
1 2
2 4
1 9
9
5
8
4
2 1
1 5
1 8
1 1
1 9
2 0
6
9
9
1 5
1 0
1 7
7
1 7
1 6
1 7
1 4
FREQUENCY DISTRIBUTION— PERCENT
10
2
2
1
4
1
6
3
4
1
2
3
1
2
2
15
4
2
2
2
1
2
4
1
1
5
2
2
1
2
2
3
2
1
4
1
2
20
2
2
2
6
2
8
4
5
2
3
6
2
5
3
18
6
3
3
4
1
4
5
1
3
7
3
2
2
4
3
5
3
2
8
3
3
30
3
3
2
8
3
1 0
6
c
2
•i
1 0
•3
7
4
2 0
8
T
3
5
1
6
9
2
5
9
T
•J
3
6
4
7
4
-j
1 0
5
4
40
4
4
3
1 1
3
1 1
9
7
3
4
1 1
5
9
6
2 1
9
4
4
6
2
8
10
5
7
13
4
4
4
8
6
9
5
5
12
7
6
50
c
c
4
1 5
4
1 4
1 3
7
4
5
1 2
6
1 2
8
2 2
1 2
5
4
7
2
1 0
1 2
7
1 0
1 5
4
4
5
1 0
7
1 2
6
7
1 4
1 0
8
60
6
C
C
21
r
1 8
1 6
8
^
6
1 6
8
1 4
1 0
2 3
1 6
5
5
9
T
1 1
1 7
1 5
9
1 3
1 7
5
5
6
1 3
10
1 5
7
1 0
1 6
1 3
1 1
70
7
8
6
2 4
6
2 0
2 3
9
c
7
1 9
9
1 9
1 3
2 6
1 9
6
c
1 0
3
1 5
1 8
1C
0
1 1
18
2 2
7
7
1 7
1 1
1 9
8
i 2
1 8
1 7
1 S
80
8
1 0
6
3 2
9
22
26
9
9
11
2 0
1 2
2 4
1 8
2 9
24
10
7
1 2
5
31
22
0 O
O £
20
2 5
3 2
8
9
1 1
2 2
1 4
2 3
10
2 1
22
2 5
20
90
1 2
1 7
1 1
4 1
1 4
2 6
4 8
1 0
1 3
1 4
2 3
1 6
3 7
2 6
3 7
4 5
1 6
8
1 8
7
6 2
2 7
4 1
3 1
4 5
4 5
1 2
1 4
3 0
3 1
3 7
1 5
5 3
3 5
4 3
3 3
-------
166
TABLE 15. LEAD—SUBURBAN AND NONURBAN STATIONS
STATION LOCATION
SUBURBAN
MIDDLESEX CNTY MASS
LAKEHURST N J
K A N A l» H A CO W vA
HILLSBOROUGH CO FLA
FULTON CO GEORGIA
HAMILTON COUNTY OHIO
TONKA BAY MINN
DENVER COUNTY COLO
SALT LAKE CO UTAH
MULTNOMAH CNTY ORE
GRAND TOTAL
NONURBAN
PT WORONZOF ALASKA
SITE
1
1
1
1
1
1
1
1
1
1
1
YEARS
5 5
55 56
54 55
5 4
5 4
54 55
5 4
54 55
5 4
5 4
54 56
55 56
No. OF
SAMPLES
2 3
1 9
2 3
4
8
3 6
9
1 0
5
1 2
149
1 2
MIN
3
1
1
MAX
9
3
4 5
5
2 1
1 8
9
7
3
9
4 5
1 1
(MICROGRAMS PER CUBIC METER) x 10"1
AVG
2
1
3
4
8
5
3
1
1
4
3
3
FMOUENCY DISTRIBUTION — PBtCENT
10
1
1
1
20
3
3
1
1
2
1
1
30
1
1
3
3
1
2
1
1
3
1
1
40
1
1
1
4
4
2
3
1
1
3
1
1
SO
1
1
1
4
7
4
4
1
1
3
2
1
60
2
1
1
4
8
5
4
1
1
4
3
8
70
2
1
2
4
1 0
5
4
2
1
4
4
2
80
3
2
3
4
10
10
5
2
1
7
5
3
90
5
2
7
5
1 0
1 2
5
4
3
9
9
10
-------
TABLE 15. LEAD—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10-'
167
STATION LOCATION
WATERBURY CONN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BOSTON MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EVERETT MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
ELIZABETH N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PAULSBORO N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CAMDEN N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PERTH AMBOY N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TRENTON N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
JERSEY CITY N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NEW YORK N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PHILADELPHIA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ALTOONA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BRISTOL PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHESTER PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ERIE PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PITTSBURGH PA
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
YEARS
55 56
5 5
5 5
55 56
55 56
55 56
55 56
55 56
55 56
54 56
54 56
56
55 56
55 56
56
5 6
JAN
3
3
1
1
1
8
8
8
3
1 7
1 0
3
3
2 0
1 0
6
2
1 3
9
6
2
7
6
5
3
6
3
1
3
2
1
1
2
5
4
3
4
0 0
3 9
1 0
2 0
212
1 9
2
3
3
2
2
3
6
3
2
FEE
2
6
5
4
2
4
4
4
3
170
6 2
5
2
4
3
3
4
7
3
1
3
1 6
8
4
1
1
1
1
2
7
4
2
3
1 1
9
6
6
2 3
1 3
3
1 6
3 1
6
1
1
2
2
2
1
2
2
2
1
3
3
3
1
1
1
1
3
1 2
5
2
MAR
5
9
5
3
A
3
2
2
3
5
3
2
3
1 7
1 0
6
3
5
4
3
3
1 5
1 2
B
4
1 4
6
3
1
6
6
6
4
2 5
1 2
5
5
5 2
2 0
2
1 4
1 1
5
2
1
3
3
3
1
4
4
4
2
3
3
3
3
2 5
1 6
6
APR
4
4
3
3
1
3
3
3
1
3
3
3
5
1 1
5
4
5
4
Q
1
3
2 2
1 3
3
S
9
4
2
1
8
8
8
4
26
1 1
3
8
5 7
2 2
7
IS
2 0
6
2
2
2
1
1
1
1
1
1
2
3
2
2
3
4
2
1
MAY
3
5
3
2
1
5
5
5
2
1 5
9
4
1
5
5
5
2
3
1
1
1
1
1
i
5
7 1
3 4
1 1
1 9
5 6
1 1
2
3
3
3
2
2
1
2
2
1
2
3
1
1
JUNE
3
4
3
2
2
6
4
2
3
100
3 6
3
1
1
1
1
1
4
4
4
1
3
3
3
2
7
5
4
1 0
4 1
1 5
3
1 2
2 6
9
2
2
6
3
1
1
2
2
2
3
1 2
1 0
9
JULY
3
8
6
5
2
9
6
3
3
1 9
9
3
1
4
4
4
4
2
1
1
5
5
5
1
2
2
3
2
2
1
1
2
3
2
3
7
3 9
1 5
4
1 3
8
3
1
3
4
2
1
3
3
3
1
1
3
3
2
3
4
4
4
AUG
4
9
6
3
4
8
4
3
3
6
3
1
3
1 6
10
5
1
1
1
1
3
1 2
1 1
1 1
2
8
5
2
1
1
1
1
2
9
9
9
5
3 1
1 2
3
1 3
1 2
6
2
1
5
5
5
1
1
1
1
3
5
3
1
SEPT
1
8
8
8
1
8
8
8
2
1 3
8
4
1
1 3
1 3
1 3
3
6
5
4
1
5
5
5
6
5 5
3 6
9
1 0
2 0
5
3
2
3
2
2
4
1 2
4
1
4
1 3
5
2
3
6
4
2
2
1 5
1 3
1 2
OCT
4
1 4
1 0
7
3
8
6
5
1
3
3
3
2
6
3
2
9
7
6
2
6
4
2
1
1 0
10
1 0
6
89
29
1 0
8
8
5
3
2
7
5
4
2
4
2
1
1
1
1
1
4
6
3
1
2
1 5
1 3
1 1
NOV
3
17
1 1
7
3
9
7
6
1
60
60
60
1
3
3
3
3
1 1
6
3
1
3
2
3
1
3
3
3
7
32
1 6
5
8
9
5
2
1
3
3
3
3
2
1
1
2
4
3
3
3
27
18
10
DEC
2
1 2
1 1
1 0
1
1 0
1 0
1 0
2
1 7
1 0
4
2
1 0
9
9
1
4
4
4
2
9
8
7
2
5
3
2
3
9
5
2
2
5
4
4
7
6 8
3 0
3
9
4 0
1 3
4
2
3
2
3
1
3
3
2
3
4
2
2
1
1 9
1 9
1 9
-------
168
TABLE 15. LEAD—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10-'
STATION LOCATION
rVILLIAMSPORT PA
NUMBER OF SAMPLES
M A X 1 M U M
AVERAGE
Ml N 1 M U M
WASHINGTON DC
NUMBER OF SAMPLES
M A X 1 M U M
AVERAGE
MINIMUM
LOUISVILLE KY
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
BALTIMORE MO
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
CHARLESTON W VA
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
TAMPA FLA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ATLANTA GA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
M 1 N 1 M U M
CHATTANOOGA TENN
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N | M U M
CHICAGO ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EAST ST LOUIS ILL
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
EAST CHICAGO INU
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DETROIT MICH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CINCINNATI OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YOUNGSTOWN OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
MILWAUKEE WIS
NUMBER OF SAMPLES
M A X 1 M U M
AVERAGE
Ml N 1 M U M
MINNEAPOLIS MINN
NUMBER OF SAMPLES
M A X 1 M U M
AVERAGE
Ml N 1 M U M
KANSAS CITY MO
NUMBER 01- SAMPLES
M A X 1 M U M
AVERAGE
M 1 N 1 M U M
YEARS
55 56
54 56
54 55
5 7
54 55
54 55
54 56
55 56
54 55
55 56
55 5 o
53 54
54 55
5 7
5 7
54 55
54 56
JAN
1
1 4
1 4
1 4
2
3
2
2
1
1 0
1 0
1 0
2
7
5
3
1
2 2
2 2
2 2
1
2
2
2
4
2 0
9
3
4
1 2
6
2
6
1 0
4
1
3
5 4
2 1
4
2
8
5
3
8
1
8
8
4
1 9
1 0
2
FEB
3
1 1
8
4
6
2 1
1 4
6
3
2 3
1 5
3
5
5
5
1
2
3
2
2
1 4
1 0
6
3
2 0
1 7
1 3
5
1 8
6
1
7
4 0
2 2
9
2
8
5
2
5
8
5
2
1
2 2
3 3
3 2
8
1 7
1 0
6
2
1 9
1 2
5
4
4
6
1
3
1 2
8
4
MAR
1
1 0
1 0
1 0
1
1 2
1 2
1 2
1
3 5
2 5
2 5
2
1 0
9
8
3
1 3
8
4
4
4
2
6
2 3
1 5
9
3
1 1
8
3
6
1 4
6
2
2
1 7
9
2
1 4
2 5
1 4
2
3
3 7
3 7
1 8
5 3
4 5
1 2
2
1
4
4
4
2
6
4
3
5
4
> 7
5
8
1 5
8
4
APR
2
1 1
8
6
5
1 2
9
7
6
9
5
1
3
3 2
1 9
8
5
2 5
1 3
3
5
1 1
5
2
5
2 4
1 4
3
2
3
2
1
3
2 5
1 5
6
2
8
7
6
7
6 4
3 3
8
4
5 8
2 9
1 6
2 0
7 6
1 9
2
2
3
2
2
3
1 0
7
5
3
5
5
3
7
1 0
6
MAY
3
1 6
1 0
6
6
3 4
1 4
5
4
2 0
1 0
3
1
3
3
3
5
1 1
6
1
5
7
4
3
3
3 5
1 4
1
2
1 4
1 1
8
1 2
122
3 6
2
2
4 1
3 2
3
4
3 0
1 7
7
2
2 3
2 1
3 1
2 2
3 3
1 4
7
1
5
5
5
2
4
3
2
5
4
1 0
3
5
1 9
7
1
JUNE
2
4
2
1
6
3 9
2 1
8
4
2 4
1 0
1
3
7
6
5
3
5
3
2
2
3 3
2 2
1 2
1
8
8
8
2 0
5 7
1 5
5
3
1 6
1 0
6
6
5 6
2 5
3
1
5 0
5 0
5 0
1 9
9 4
2 5
4
1
3
3
3
1
4
4
4
2
3
4
1
3
2 1
1 1
5
JULY
1
1 4
1 4
1 4
4
2 5
1 8
1 0
1 3
4 7
1 2
2
2
9
8
8
2
2
1
1
2
6
5
4
3
1 2
8
3
1
9
9
9
1 4
4 4
1 3
1
3 0
3 0
3 0
1 0
1 4
7
1
8
3 8
1 4
7
2
3
2
1
2
6 1
3 2
3
2
6
4
2
AUG
1
1 4
1 4
1 4
7
3 3
1 6
5
1 3
5 4
1 3
2
3
1 0
7
4
1
3
3
3
2
3 1
1 4
7
1
1 1
1 1
1 1
4
1 2
8
2
9
2 4
1 3
4
4
1 6
1 2
8
5
2 1
9
3
9
7 1
2 1
4
2
4
3
2
3
5
4
4
5
5
1 4
2
4
1 4
9
2
SEPT
3
1 6
1 5
1 4
6
2 7
1 9
1 4
1 2
4 6
2 4
7
1
7
7
7
1
4
4
4
3
4 3
1 6
1
4
1 4
7
2
8
2 7
2 0
2
3
1 8
1 1
3
7
2 2
7
3
1 2
146
5 1
1
1
2
2
2
3
1 5
1 4
1 3
4
4
6
3
1
3
3
3
OCT
3
1 0
8
7
3
2 5
3 3
2 1
6
130
50
1 5
3
5
4
4
1
1 0
1 0
1 0
1
9 8
9 8
9 8
5
27
1 2
6
16
9 1
2 9
5
1
2
3
2
6
3 1
1 6
8
8
105
3 9
8
3
1 7
1 4
1 2
1
3
3
3
1 0
3
1 6
8
]_
8
8
8
NOV
3
14
10
5
1
6
6
6
1
9 6
9 6
9 6
2
2
1
1
2
1 1
8
5
1
16
1 6
16
3
9
5
2
13
5 3
1 9
4
2
6
5
5
8
7
4
3
22
40
22
2
3
50
29
14
4
2
6
2
1
12
12
1 2
DEC
3
6
5
6
5 5
2 4
5
1
5
5
5
1
7
7
7
1
1 0
10
1 0
2
2 3
1 3
3
8
5 2
1 9
1
3
9
6
3
8
1 6
7
2
6
6 3
30
10
8
1
8
8
1
1 5
1 5
1 5
-------
TABLE 15. LEAD—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10-'
169
STATION LOCATION
ST LOUIS UO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
NEW ORLEANS LA
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
FT •ORTH TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
HOUSTON TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
BELLAIRE TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
DENVER COL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SALT LAKE CITY UTAH
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
ANCHORAGE ALASKA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
LOS ANGELES CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN FRANCISCO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
PASADENA CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BERKELEY CALIF
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MU M
SAN JOSE CALIF
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
SAN LEANDRO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
PORTLAND OREGON
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | MU M
SEATTLE • A S H
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 MUM
YEARS
55 56
54 55
54 55
54 55
54 55
54 55
54 55
54 55
54
55 56
54 56
54 55
54 56
55 56
54 55
57
JAN
2
7
6
5
2
3
2
2
2
4
4
4
1
1 3
1 3
1 3
3
2 8
1 6
9
2
1 1
1
4
3
21
1C
D
i 1
i
21
21
2 1
3
3
2
1
4
1 6
10
6
3
3 0
2 1
1 1
4
32
1 6
e
3
1 7
1 2
7
1
2 2
22
22
2
1 0
9
8
FEB
3
2 3
1 4
5
3
1 1
6
3
3
5
3
2
7
57
27
7
3
1 3
6
1
2
8
6
5
3
4 8
•» -a
J J
1 8
4
57
2 9
6
1
3 2
3 2
3 2
2
3
2
1
6
3 2
19
2
5
5 1
33
25
6
1 8
1 0
3
1
6
6
6
2
1 2
1 1
1 0
2
5
4
3
MAR
3
3
2
2
4
1 9
7
2
9
6 9
31
6
4
9
7
4
2
3 9
2 9
2 0
2
4 3
p /£
fi O
1 0
4
1 9
8
4
58
4 5
2 5
2
1
3
4 2
2 9
1 0
4
9
5
1
2
1 7
1 1
6
9
1 9
9
1
1
e
8
8
APR
2
4
4
4
4
2
2
2
4
9
5
2
5
16
14
12
2
2
1
1
2
9
9
9
2
3 3
4 Q
1 y
5
8
32
1 3
1
4
141
70
22
1
2
2
2
6
28
16
4
2
10
7
5
2
6
5
5
1
5
5
5
4
14
6
2
2
4
2
1
MAY
3
6
5
4
6
2 5
6
1
5
20
7
1
8
7 1
3 8
1 1
3
8
4
2
2
1 7
1 6
1 6
2
1 4
1Q
J9
1 1
4
1 1
5
1
6
2 5
1 3
3
3
1
5
2 7
9
1
2
1 3
1 0
7
5
6
4
3
1
1 3
1 3
1 3
3
1 9
1 3
4
3
1 2
7
4
JUNE
2
19
1 3
8
6
15
6
2
2
7
7
7
1 4
130
3 1
2
3
5
4
3
5
1 2
6
3
6
1 9
g
1
7
8
3
1
2
3 2
2 3
1 4
2
2
1
5
4 0
20
1
2
25
1 3
2
5
9
3
1
2
2 4
1 8
1 3
3
5
3
2
JULY
2
8
6
5
6
4
2
1
2
3
2
2
7
130
39
7
2
1 0
9
8
2
18
18
18
2
16
1 0
1
9
9
9
2
4 6
3 6
2 6
5
1
7
9 0
3 5
8
3
1 2
1 0
8
5
1 2
5
2
4
1 4
1 1
7
2
1 1
9
7
2
8
6
4
AUG
3
1 9
1 7
1 5
4
3
2
1
2
3
3
3
3
100
4 8
1 0
3
1 4
1 2
1 1
2
24
2 0
1 6
2
1 4
1 3
3
8
6
3
2
1
2
66
57
4 9
2
7
6
6
5
7
5
4
4
1 9
16
1 2
7
16
1 0
6
2
5
3
2
SEPT
1
7
7
7
4
3
2
1
3
4
2
1
6
170
109
2
3
2 0
1 3
9
2
2 3
1 6
1 0
2
1 4
1 3
3
2 0
1 6
1 0
3
1
4
132
5 2
5
3
5 1
3 7
1 4
6
1 6
1 0
6
1
1 4
1 4
1 4
5
1 6
1 0
4
3
1 6
8
4
OCT
1
6
6
6
4
5
4
3
3
3
3
3
6
5 2
19
7
4
27
1 3
5
2
3 1
2 1
1 2
2
1 5
1 0
3
49
2 1
3
3
2
1
1
6
266
8 3
3
4
60
35
5
4
18
1 2
7
3
1 5
1 2
9
2 1
7 1
2 3
5
1
1 2
1 2
1 2
NOV
3
13
10
e
5
6
3
1
2
13
8
5
9
14
7
3
2
28
20
13
1
3 4
34
3 4
2
47
•» o
.5 W
14
1
1
1
1
5
3
1
5
122
39
8
7
43
12
3
7
21
14
6
20
65
33
6
DEC
2
1 1
9
7
3
22
1 1
4
2
2 3
1 3
3
7
6 9
2 1
4
3
8 4
36
1 1
2
2 7
24
23
3
3 7
0 J
« A
1 7
3
1 8
1 0
3
1
3
3
3
4
193
8 0
1 5
6
4 4
1 8
4
1
6
6
6
-------
170
TABLE 15. LEAD—SUBURBAN AND NONURBAN STATIONS
(MICSOGRAMS PER CUBIC METER) x Ifr1
STATION LOCATION
SUBURBAN
MIDDLESEX CNTY MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LAKEHURST N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
KANAWHA CO » VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HAMILTON COUNTY OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DENVER COUNTY COLO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NONURBAN
PT WORONZOF ALASKA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
5 5
55 56
54 55
54 55
54 55
55 56
JAN
2
5
3
1
2
2
1
1
1
1
1 1
1 1
1 1
FEB
1
3
3
3
1
3
2
1
1
6
6
6
1
2
2
2
MAR
2
7
4
1
3
1
2
9
5
1
4
1 3
9
3
1
1
3
3
3
APR
3
3
1
1
1
3
3
3
2
18
1 0
2
1
1
1
1
1
MAY
1
1
1
1
2
1
5
7
3
1
5
1 2
7
5
2
5
2
JUNE
3
4
2
1
3
3
3
3
4 5
1 6
1
3
5
3
2
JULY
2
5
3
1
1
1
1
1
3
4
1 7
7
1
1
1
1
1
1
1
1
1
AUG
3
1
1
4
2
2
2
2
1
SEPT
3
9
4
1
2
2
1
1
4
5
1
2
7
4
1
1
1
1
1
ocr
i
2
2
2
1
1
1
1
2
2
1
4
5
2
2
2
1
1
1
3
3
3
NOV
2
2
1
1
2
3
2
1
1
3
5
2
1
4
4
4
1
2
2
2
DEC
3
2
1
1
1
1
1
1
1
2
2
2
2
1 1
7
4
1
1
1 0
1 0
1 0
-------
TABLE 16. MAGNESIUM—URBAN STATIONS
171
STATION LOCATION
NEW YORK N Y
PHILADELPHIA PA
WASHINGTON DC
LOUISVILLE- KY
CHARLESTON W VA
TAMPA FLA
ATLANTA GA
CHICAGO ILL
DETROIT MICH
CINCINNATI OHIO
MINNEAPOLIS MINN
KANSAS CITY MO
NEW ORLEANS LA
FT WORTH TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
SALT LAKE CITY UTAH
ANCHORAGE ALASKA
LOS ANGELES CALIF
PASADENA CALIF
BERKELEY CALIF
SAN JOSE CALIF
PORTLAND OREGON
SITE
2
3
1
1
1
1
1
2
4
5
1
1
1
1
2
1
1
1
1
1
2
4
5
YEARS
54 55
5 4
54 55
5 4
54 55
54
54
5 4
54
54
54
55
54 55
53 54
54 55
54
54
54
54 55
54
54
5 4
5 4
5 4
5 4
5 4
54 55
5 4
54 55
54 55
54 55
5 4
5 4
54
5 4
5 4
No. OF
SAMPLES
2 7
6
3 4
1 0
2 7
7
7
4
9
6
3 5
6
4 1
2 3
6 8
1 6
1 3
1 8
115
1 2
1 1
4
4
1 8
4
4
2 1
1 8
2 8
3 4
3 4
1 8
1 5
1 0
1 0
5 3
(MICROGRAMS PER CUBIC METER) x 10°
MIN
9
9
2
1
7
MAX
135
8 0
135
102
6 1
120
120
4 6
S 6
5 7
6 5
2 5
6 S
137
102
8 3
112
118
118
100
3 2
420
8 5
4 9
5 2
448
100
6 3
6 0
100
114
7 1
114
AVG
6
4 4
1 3
3 2
5
6 7
6 7
2 5
1 1
1 8
5
4
5
5 9
1 0
2 6
4 3
4 7
2 2
4 8
1 6
11 O
j. y
1 9
2 2
1 6
2 5
2 9
7
4
7
1 9
8
8
FREQUENCY MCTWBUTION— PERCENT
10
1
1
9
9
2 1
1
1
20
1
1
9
9
2
1
2 6
1
1
1 1
1
1
1
1
1
30
3 0
2
3 4
3 4
2
1
1
30
1
1 2
1 2
1
3 4
1
1
1
1
40
30
1
1 5
58
5 8
1 5
7
1
3 8
1
2
1 2
3 6
1
3 8
8
1
1
1
1
1
1
1
1
50
1
3 8
1
3 8
1
6 1
6 1
1 5
8
1
1
1
1
5 4
1
1 8
4 3
4 3
1
5 4
2 2
1
1
1
1
1
1 7
1
1
1
1
1
6O
1
S 4
1
4 1
1
6 1
6 1
1 5
8
1 7
1
1
1
6 1
1
2 4
6 1
4 8
1 2
5 8
2 3
1
1
1
1
1
4 1
1
1
1
1
1
70
1
5 4
1
4 3
1
8 8
8 8
3 8
8
1 7
1
1
1
7 4
1
2 7
6 5
6 9
3 0
6 1
2 3
1
2 7
4 3
1 1
1
4 6
1
1
8
1
1
80
1
7 8
30
4 6
1
118
118
3 8
9
3 8
1
1
1
8 8
1 5
6 1
6 9
8 3
4 6
7 8
2 4
1
6 1
4 8
4 3
1 1
1
4 8
1
1
3 4
1
1
90
1
7 8
5 4
4 a
5
118
118
4 8
1 7
3 8
30
1
2 7
111
3 8
6 9
8 8
9 9
8 0
9 9
3 0
1
458
5 8
5 4
5 4
2 4
6 9
2 1
2 1
6 9
> Q
** O
1
4 6
486455 O -58 -1Z
-------
172
TABLE 16. MAGNESIUM—URBAN STATIONS—TOTALS
STATE OR REGION
NEW JERSEY TOTAL
NEW YORK TOTAL
PENNSYLVANIA TOTAL
DIS COLUMBIA TOTAL
KENTUCKY TOTAL
WEST VIRGINA TOTAL
FLORIDA TOTAL
GEORGIA TOTAL
ILLINOIS TOTAL
MICHIGAN TOTAL
OHIO TOTAL
MINNESOTA TOTAL
MISSOURI TOTAL
LOUISIANA TOTAL
TEXAS TOTAL
COLORADO TOTAL
UTAH TOTAL
ALASKA TOTAL
CALIFORNIA TOTAL
OREGON TOTAL
MID ATLNTC TOTAL
MID EAST TOTAL
SOUTH EAST TOTAL
MID WEST TOTAL
CRT PLAINS TOTAL
GULF SOUTH TOTAL
ROCKY MNTN TOTAL
PAC COAST TOTAL
GRAND TOTAL
YEARS
5 5
54 55
54
54 55
5 4
5 4
54
5 4
54 55
53 54
54 55
54
5 4
5 4
5 4
5 4
5 4
54 55
54 55
5 4
54 55
54 55
54
53 55
5 4
54
5 4
54 55
53 55
No. OF
SAMPLES
I 0
3 4
1 0
2 7
7
4
9
6
4 1
2 7
115
1 2
1 1
4
2 9
3
4
3 1
115
5 3
5 4
3 8
1 5
183
2 3
3 3
7
189
542
MIN
9
2
1
(MICROGRAMS PER CUBIC METER) x 10-'
MAX
135
102
6 1
120
4 6
5 6
5 7
6 5
137
118
100
3 2
420
5 2
448
100
114
-i -I C
1 J> D
120
5 7
137
100
420
5 2
448
448
AVG
1 3
3 2
5
6 7
2 5
1 1
1 8
c
5 0
2 2
4 8
1 6
3 4
1 6
2 5
1 0
8
1 4
1 9
1 4
2 2
3 3
3 0
9
1 1
1 8
FREQUENCY DISTRIBUTION— PERCENT
10
1
9
1
1
20
1
9
<
1
7
1
1
1
1
1
30
£
3 4
2
1
1
2 6
1
3 4
1
1
1
1
1
9
1
40
1
1 5
58
15
7
1
30
1
38
8
1
1
1
1
1
1
2 2
1
1
1
1
50
1
1
38
1
6 1
1 5
8
1
1
4 3
1
5 4
2 2
1
1
1
1
1
1
1
8
1
2 4
1
1
1
1
60
1
1
4 1
1
6 1
1 5
8
1 7
1
54
1 2
5 8
2 3
1
2 4
1
1
1
1
1
8
1 2
3 2
1
1
1
1
70
1
1
4 3
1
8 8
3 8
8
1 7
1
6 9
3 0
6 1
2 3
1
4 3
1
1 1
1
1
1
1 6
28
3 8
3 8
1
1
1 6
80
1
30
4 6
1
118
38
9
3 8
1
88
4 6
7 8
24
1
5 4
1
1 1
1
16
1
17
* 7
5 8
5 1
1 1
10
38
90
1
5 4
4 8
5
118
4 8
1 7
3 8
2 7
107
8 0
9 9
3 0
1
5 9
1
54
2 4
4 6
4 6
4 8
5 9
58
78
7 8
5 9
1 1
4 4
6 2
-------
TABLE 16. MAGNESIUM—SUBURBAN STATIONS
173
STATION LOCATION
K A N A W H A CO W VA
HILLSBOROUGH CO FLA
HAMILTON COUNTv OHIO
TONKA BAY MINN
SALT LAKE CO UTAH
GRAND TOTAL
SITE
1
1
1
1
1
YEARS
5 4
5 4
54 55
54
54
54 55
No. OF
SAMPLES
s
3
3 0
8
4
6 9
(MICROGRAMS PER CUBIC METER) x 10"'
MIN
1
MAX
3 1
3 8
100
114
5 3
114
AVG
8
1 9
1 1
5 0
1 5
1 5
FREQUENCY DISTRIBUTION— PERCENT
10
1
2O
1
9
1
30
1
1
9
1
4O
1
1
1
2 1
1
1
50
1
2 1
1
4 8
1
1
60
1
2 1
1
6 1
1
1
70
1 1
2 1
1
7 8
9
1 0
80
1 1
2 1
1 4
7 8
9
27
90
3 4
3 8
5 8
8 8
5 4
5 9
-------
174
TABLE 16. MAGNESIUM—URBAN AND SUBURBAN STATIONS
IMICROGRAMS PER CUBIC METER) x 10-'
STATION LOCATION
N E » YORK N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
WASHINGTON DC
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
CHICAGO ILL
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
MINIMUM
DETROIT MICH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
CINCINNATI OHIO
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MU M
HOUSTON TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
ANCHORAGE ALASKA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
LOS ANGELES CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
PASADENA CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
BERKELEY CALIF
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
SAN JOSE CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
y i N i MU M
PORTLAND OREGON
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
SUBURBAN
HAMILTON COUrtTY OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
54 55
54 55
54 55
53 54
54 55
54
54 55
54
54 55
54 55
54 55
54
54 55
JAN
2
Z
1
1
5 9
5 9
5 9
1
2
3
3
FEB
3
B 0
5 0
3
4
25
6
2
59
4 6
3 3
4
4 0
1 0
2
4 9
4 7
4 5
1
1
1 8
1 8
1 8
4
1 0
2
5
17
5
4
1
7 6
76
76
1
MAR
4
135
5 5
1
3
137
107
7 7
38
118
4 3
3
8 5
5 5
2 2
2
3 8
3 0
2 3
4
9 2
6 7
47
2
6 3
3 9
1 6
2
3 5
28
2 1
6
7 1
2 7
1
7 2
7 2
7 2
APR
2
4
6 1
25
4
80
42
7
11
102
30
1
26
26
26
1
448
448
448
3
46
32
10
3
46
29
1
1
60
60
60
2
69
43
18
3
114
76
46
1
5 7
5 7
5 7
MAY
4
37
25
3
5
1
2
4 4
36
2 9
1
2 5
2 5
25
1 2
9 3
36
3
3
1 8
6
6
100
2 5
2
2 0
1 0
2
5 8
38
1 9
2
10
5
3
3
100
6 5
3 7
JUNE
3
4
5 3
1 3
9
65
1 3
1
2 6
26
2 6
17
26
1
8
3
2
3
2
2
3
1 5
5
JULY
3
3
5
6
1
2
4
3
2
4
1 4
3
AUG
1
4
3
6
2
2
2
2
4
SEPT
4
4
4
1 0
3
2
3
4
4
OCT
3
2
6
5
2
4
4
3
2 0
4
NOV
3
3
12
116
60
21
1
5
5
20
3
DEC
s
3
4
38
23
2
4
3
100
3 3
2
-------
TABLE 17. MANGANESE—URBAN STATIONS
175
STATION LOCATION
WATERBURY CONN
BOSTON MASS
EVERETT MASS
ELIZABETH N J
PAULSBORO N J
CAMOEN N J
PERTH AMBOY N J
TRENTON N J
JERSEY CITY N J
NEW YORK N Y
PHILADELPHIA PA
ALTOONA PA
BRISTOL PA
CHESTER PA
ERIE PA
PITTSBURGH PA
WILLIAMSPORT PA
WASHINGTON DC
LOUISVILLE KY
BALTIMORE MO
CHARLESTON W VA
ATLANTA GA
CHATTANOOGA TENN
CHICAGO ILL
SITE
1
1
1
1
1
1
1
1
1
1
1
2
3
1
1
1
1
4
S
6
7
1
J^
1
1
1
1
1
3
1
1
1
2
2
2
3
1
•1
1
3
4
1
2
2
2
4
YEARS
55
56
55 56
5 5
5 5
55 56
55 56
55 56
55 56
55 56
55 56
54 56
54 55
54 56
54
5 b
5 6
54 56
5 6
5 6
5 6
56
5 4
5 5
56
54 56
56
55 56
55 56
56
56
55 56
54
55 56
54 56
5 4
5 5
54 55
5 4
55
54 55
5 4
54
55
54 55
57
54 55
5 4
54 56
55
55 56
55 56
54 55
54
5 5
54 55
5 5
54
5 b
54 55
No. OF
SAMPLES
1 4
2 2
3 6
2 3
2 6
2 1
2 5
2 1
2 3
1 7
2 3
5 0
2 3
7 3
6
9 0
1 1
107
1 1
9
1 1
1 1
1 0
9 0
5 3
153
1 3
1 8
1 8
2 5
2 1
2 3
3 4
1 9
4 3
2 2
2 1
4 3
1 3
1 0
2 3
5
4 0
3 1
7 1
1 8
2 6
3/-1
(J
2 5
1 4
1 6
3 2
3 0
3 0
2 6
5 6
2 9
3 6
8 3
118
IMICROGRAMS PER CUBIC METER) x 1CH
MIN
1
2
2
1
1
1
4
4
MAX
6
7
7
3
8
8
1 3
2 0
8
1 0
2 0
3 1
1 6
3 1
7 6
1 8
5
7 6
1 4
5
7
8
386
1 8
1 4
386
3
g
8
9
7 0
1 0
1 6
1 5
1 6
2 1
1 2
2 1
9
1 5
1 5
1 4
2 1
1 5
2 1
3 3
120
1 6
3 0
7 6
300
300
2 0
5 3
3 0
5 3
6 0
5 3
6 0
6 0
AVG
1
1
1
2
3
1
1
8
1
6
2 1
1
2
2
2
1
1
2
5 3
1
2
5
2
3
1 6
4
5
4
5
6
5
5
4
4
4
5
5
4
5
9
3 2
1
9
1 3
4 7
3 2
5
2 7
1 3
2 0
1 4
2 3
1 1
1 4
FREQUENCY DISTRIBUTION— PERCENT
10
1
1
2
1
1
2
1
1
1
1
1
1
1
1
4
1
1
2
1
7
3
4
1
6
1
1
20
1
1
1
1
1
1
1
5
1
1
1
1
3
2
2
2
1
3
1
2
2
2
5
1
2
1
3
1
1
12
4
6
1
8
2
3
30
1
1
1
1
1
1
1
6
1
1
1
1
1
6
1
1
1
1
6
2
2
2
2
3
3
3
2
2
3
2
2
2
3
5
6
3
1
8
3
2
21
5
9
4
1 2
3
4
4O
1
1
1
1
1
1
4
1
1
6
1
1
1
1
1
1
1
10
1
1
1
1
2
10
3
4
2
3
3
3
3
3
2
3
3
3
3
3
5
a
i
4
2
10
8
3
3 6
7
1 4
5
1 5
4
6
50
1
1
1
1
1
1
1
1
1
1
1
8
1
3
1 1
1
2
1
2
1
1
2
1 1
1
1
1
1
1
3
1 0
4
4
3
4
5
4
4
4
2
3
2
4
4
4
6
1 7
1
7
3
1 1
1 1
4
2 8
1 0
2 0
8
2 6
6
9
60
1
I
1
1
2
1
1
2
1
1
1
1 0
1
5
1 2
1
2
1
2
1
1
2
1 2
1
3
1
1
2
3
1 1
6
5
4
5
5
5
5
4
4
4
2
5
5
5
8
3 9
1
8
5
4 6
19
5
3 9
1 9
26
9
2 8
8
1 2
70
2
2
2
1
2
1
1
2
1
1
1
1 2
1
9
1 3
2
2
2
3
1
2
2
1 3
2
2
2
1
3
5
2 0
7
8
5
6
6
5
5
4
4
4
9
6
5
5
9
4 3
1
1 4
1 9
5 8
3 1
6
3 4
2 0
28
1 1
3 0
1 0
2 0
80
3
4
3
1
4
1
1
5
1
2
1
1 5
2
1 4
2 1
3
3
3
3
3
2
5
21
3
3
3
1
3
5
21
8
10
6
8
10
6
7
5
8
7
9
8
7
8
1 1
6 9
2
1 5
30
6 1
5 8
7
3 8
31
30
21
37
30
37
90
5
5
5
2
5
1
3
7
5
3
6
2 1
5
1 7
2 1
4
4
5
6
5
3
6
7 8
4
5
5
2
4
7
3 0
1 0
1 3
1 4
1 3
1 2
9
1 1
8
9
9
1 5
1 1
9
1 0
1 6
8 8
3
2 4
37
8 8
7 8
1 1
4 6
2 7
3 8
4 3
4 3
3 7
3 5
-------
176
TABLE 17. MANGANESE—URBAN STATIONS
STATION LOCATION
EAST ST LOUIS ILL
EAST CHICAGO 1 N D
DETROIT MICH
CINCINNATI OHIO
YOUNGSTOWN OHIO
MILWAUKEE WIS
MINNEAPOLIS MINN
KANSAS CITY MO
ST LOUIS MO
NEW ORLEANS LA
FT WORTH TEXAS
LAKEWORTH TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
DENVER COL
SALT LAKE CITY UTAH
ANCHORAGE ALASKA
LOS ANGELFS CALIF
SAN FRANCISCO CALIF
PASADENA CALIF
BERKELEY CALIF
SAN JOSE CALIF
SITE
1
2
1
2
3
4
1
1
1
1
2
4
5
1
1
1
1
1
2
3
4
1
1
2
1
1
1
1
1
1
1
1
1
2
1
1
1
1
1
1
1
1
1
1
1
1
YEARS
55 56
5 b 56
55 56
55 56
55 56
55 56
55 56
55 56
53 54
5 4
5 b
54 55
5 4
5 4
5 4
54
55
54 55
57
5 7
54
5 b
54 55
54 56
54
55 56
5 4
5 5
56
5 4 56
55 56
54 55
54 55
54 55
54
5 5
54 55
5 4
5 4
5 b
54 55
54 55
54 55
54 55
54 55
54 55
5 4
5 5
5 6
55 56
5 4
5 5
51 56
54 55
5 4
5 b
5 ^
54 56
No. OF
SAMPLES
1 5
1 4
2 9
1 8
2 6
2 1
2 0
8 5
3 1
6 8
2 7
9 5
1 9
2 0
2 4
131
2 7
158
1 2
1 9
1 6
1 7
3 3
2 4
5
9
1 1
1 9
8
3 8
2 3
2 6
2 4
5 0
1 6
1 4
3 0
5
2 5
5 5
8 0
3 4
2 3
2 6
3 1
3 7
1 8
1 5
1 5
3 0
2 0
2 1
4 5
3 4
2 6
1 2
2 0
5 b
(MICROGRAMS PER CUBIC METER) x 10-'
MIN
2
8
1
3
9
2
1
1
2
1
MAX
2 0
1 0
2 0
7 0
120
2 4
3 5
120
264
114
929
929
129
183
232
232
929
929
9 0
2 5
3 4
8
2 4
4 1
3 2
8
4 1
1 0
6
4 1
30
1 0
9
1 0
283
4
283
1 9
140
9 0
140
5 7
2 0
2 0
8
374
1 8 6
3
3
3 2
1 9
3 2
3 5
1 7
1 1
7
1 7
AVG
8
5
6
2 3
1 9
1 0
1 0
1 6
6 9
1 7
4 8
2 6
2 7
2 3
3 5
2 3
4 8
2 7
4 2
5
7
4
5
5
1 0
2
9
3
2
5
5
1
2
1
1 9
1 0
1 0
1 3
1 2
1 2
6
5
4
3
2 3
2 7
]^
1 1
2
6
1 0
9
5
1
5
FREQUENCY DISTRIBUTION — PERCENT
10
4
1
1
1
3
2
1
2
1 5
3
1
2
2
1
4
3
1
2
9
1
3
1
2
1
1
1
1
2
1
1
1
1
1
1
1
1
10
6
2
4
8
5
3
2
4
2 1
5
2
4
6
5
8
5
2
5
1 3
2
3
2
2
2
1
1
1
1
1
1
1
3
1
2
1
1
2
1
1
1
9
1
4
2
1
30
7
3
5
8
8
7
4
7
3 0
6
4
6
1 1
6
1 4
7
4
6
1 8
3
4
2
3
2
1
1
1
2
1
1
2
1
1
1
1
5
1
2
2
1
2
2
2
1
1 0
4
1
6
6
1
1
1
40
7
5
6
10
1 2
7
5
8
4 0
8
6
7
1 2
9
2 3
1 0
6
9
1 9
3
6
3
3
3
1
1
1
2
2
2,
2
3
1
1
1
1
1
5
1
3
3
2
3
3
2
3
1 4
8
1
1
9
8
1
1
2
SO
8
5
6
2 0
1 4
9
6
1 0
4 6
1 1
7
1 0
1 6
1 2
2 4
1 4
7
1 2
3 8
4
6
3
5
3
6
1
5
3
3
3
3
1
2
1
1
1
1
1 3
2
4
3
2
4
4
3
1 2
1 5
1
1
9
1
1
1 1
1 0
6
1
4
60
9
6
7
2 1
1 7
1 0
8
1 5
5 1
1 6
9
1 4
1 6
1 9
3 5
2 0
9
1 8
4 8
4
7
4
6
4
6
1
6
3
3
4
5
1
2
1
3
1
1
1 3
2
5
4
3
4
4
3
1 5
1 9
1
1
1 2
1
4
1 1
1 1
7
1
6
70
1 0
6
8
3 9
2 0
1 5
1 1
2 0
7 8
2 1
1 8
2 0
2 9
2 1
2 7
2 5
1 8
24
5 4
5
7
5
6
4
1 3
2
6
4
4
5
6
1
3
3
3
1
2
1 5
5
1 7
1 0
4
5
5
4
1 8
3 1
1
1
1 5
2
9
1 3
1 3
7
2
9
80
1 0
7
9
4 1
2 9
17
30
2 3
8 8
37
21
3 7
3 4
2 9
3 6
2 9
3 1
2 9
6 9
6
10
6
7
5
1 3
3
1 3
5
4
6
7
2
4
3
4
1
3
1 5
1 1
20
1 9
4
7
8
5
2 4
30
1
2
i
1 7
4
12
1 4
1 3
1 0
2
1 1
90
1 1
8
1 0
4 3
3 0
2 0
3 4
3 6
179
3 7
5 8
4 3
69
3 0
B 8
4 3
5 8
4 6
8 8
7
1 1
7
1 0
1 0
3 4
6
3 4
8
5
1 0
1 0
3
5
4
5
4
4
1 9
30
3 4
30
3 0
1 0
9
6
3 4
4 3
1
3
3
3 9
9
1 9
1 6
1 5
1 0
4
1 3
-------
TABLE 17. MANGANESE—URBAN STATIONS
177
STATION LOCATION
SAN LEANDRO CALIF
PORTLAND OREGON
SEATTLE IVASH
SITE
1
1
1
1
•1
5
4
1
YEARS
55 5 o
5 4
5 5
5 . 55
5 4
5 i
5 .
5 <4
5 5
5-i 35
57
No. OF
SAMPLES
j u
5 0
1 V
3 w
1 5
1 0
1 0
5 5
1 9
7 a
2 U
(MICROGRAMS PER CUBIC METERI x 10 '
MIN
^
I 0
n
2
MAX
1 0
•' 0
4 0
9 0
8 9
5 7
3 3
9 0
4 0
9 0
2 4
AVG
3
3 4
1 5
.; 5
4 0
3 a
2 0
3 a
i 5
Z 8
7
FREQUENCY DISTRIBUTION — PERCENT
10
^
1
4
1 1
1 0
b
U
1
6
3
20
1
1 1
6
7
1 9
1 1
8
1 1
6
1 0
3
30
1
1 9
9
1 0
2 4
1 5
1 1
1 9
9
1 4
4
40
2
2 7
1 0
1 9
3 7
2 1
1 9
2 3
1 0
2 0
4
50
£
3 4
1 1
2 0
4 3
3 7
2 0
3 1
1 1
2 3
5
60
S
4 0
1 9
3 7
4 8
3 8
3 0
3 8
1 9
2 9
6
70
3
4 3
2 0
3 2
5 6
4 3
2 1
4 3
2 0
3 9
7
80
4
5 1
2 1
4 1
5 8
4 8
30
5 2
2 1
4 5
1 2
90
6
5 8
2 9
5 1
6 1
5 8
3 2
s 8
3 9
5 7
1 7
-------
178
TABLE 17. MANGANESE—URBAN STATIONS—TOTALS
STATE OR REGION
CONNECTICUT TOTAL
MASSACHUSETS TOTAL
NEW YORK TOTAL
PENNSYLVANIA TOTAL
DIS COLUMBIA TOTAL
KENTUCKY TOTAL
MARYLAND TOTAL
WEST VIRGINA TOTAL
FLORIDA TOTAL
GEORGIA TOTAL
TENNESSEE TOTAL
ILLINOIS TOTAL
INDIANA TOTAL
MICHIGAN TOTAL
OHIO TOTAL
WISCONSIN TOTAL
MINNESOTA TOTAL
MISSOURI TOTAL
LOUISIANA TOTAL
TEXAS TOTAL
COLORADO TOTAL
UTAH TOTAL
ALASKA TOTAL
CALIFORNIA TOTAL
OREGON TOTAL
WASHINGTON TOTAL
NEW ENGLND TOTAL
MID ATLNTC TOTAL
MID EAST TOTAL
SOUTH EAST TOTAL
MID WEST TOTAL
CRT PLAINS TOTAL
GULF SOUTH TOTAL
ROCKY MNTN TOTAL
PAC COAST TOTAL
GRAND TOTAL
YEARS
55 56
5 5
54 56
54 56
54 56
54 55
57
54 55
54 55
54 56
55 56
54 56
55 56
53 54
54 57
57
54 55
54 56
54 55
54 55
54 55
54 55
54 55
54 56
54 55
57
55 56
54 56
54 57
54 56
53 57
54 56
54 55
54 55
54 57
53 57
No. OF
SAMPLES
3 6
4 9
7 3
271
4 3
7 1
1 8
2 6
3 4
2 5
3 2
147
8 5
3 6
170
1 9
3 3
6 1
5 0
149
2 6
3 1
3 7
216
7 4
2 0
8 5
474
158
9 1
457
9 4
199
5 7
347
1962
(MICROGRAMS PER CUBIC METER) x 1
-------
TABLE 17. MANGANESE—SUBURBAN AND NONURBAN STATIONS
179
STATION LOCATION
SUBURBAN
MIDDLESEX CNTY MASS
LAKEHURST N J
K A N A IV H A CO W VA
FULTON CO GEORGIA
HAMILTON COUNTY OHIO
TONKA BAY MINN
DENVER COUNTY COLO
SALT LAKE CO UTAH
MULTNOMAH CNTY ORE
GRAND TOTAL
NONURBAN
PT WORONZOF ALASKA
SITE
1
1
1
1
1
1
i
l
l
i
YEARS
5 5
55 So
5 A 55
5 4
5-i 55
5 4
5 -i 55
5 4
5 4
54 56
55 56
No. OF
SAMPLES
2 3
1 9
2 2
5
3 6
9
1 0
4
1 2
140
1 2
(MICROGRAMS PER CUBIC METER) x Ifr1
MIN
1
2
MAX
1 0
9
5 0
3 6
3 8
2 8
6
8
1 2
5 0
2
AVG
1
1
1 3
1 6
7
5
3
2
7
6
1
FREQUENCY DISTRIBUTION— PERCENT
10
1
1
2
1
2
20
1
1
3
1
1
1
4
1
30
3
1
4
1
2
1
5
1
40
1
1
6
1
5
1
2
1
5
2
50
1
1
9
9
6
4
3
1
6
3
60
1
1
1 0
9
7
4
3
1
6
5
2
70
1
1
1 7
3 4
8
4
4
3
9
7
2
60
2
1
2 9
34
1 0
5
4
3
10
9
2
90
3
2
3 4
3 8
1 1
8
4
8
1 1
1 3
2
-------
180
TABLE 17. MANGANESE—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10'
STATION LOCATION
HATERBURY CONN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BOSTON MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EVERETT MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ELIZABETH N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PAULSBORO N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
CAMOEN N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PERTH AMBOY N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TRENTON N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
JERSEY CITY N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
N E l» YORK N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PHILADELPHIA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ALTOONA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BRISTOL PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHESTER PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
ERIE PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PITTSBURGH PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
55 56
5 5
55
55 56
55 56
55 56
55 56
55 56
55 56
54 56
54 56
56
55 56
55 56
56
56
JAN
2
1
2
2
2
3
1
3
2
3
1
2
5
3
2
3
3
2
4
1 6
9
5
1 9
306
2 7
3
9
5
2
3
2 0
1 1
5
FEB
2
2
3
5
2
2
4
3
7
3
1
2
3
6
3
6
l 6
5
1 6
2 1
2
1
1
1
1
1
1
2
2
2
1
5
5
5
3
2 0
9
2
MAR
4
1
4
3
2
1
3
8
2
3
1 3
4
3
1 8
6
4
4
1
1
4
1 4
3
3
2 4
1 3
1 4
5
1
1
1
2
2
1
3
7 0
3 3
1 0
APR
5
1
1
1
1
1
1
1
1
5
1
5
7
1
2
20
1 0
5
8
2
1
1 0
1 0
1 0
4
2 0
5
7
9
2
1 5
1 1
2
2
2
1
1
2
3
3
1
MAY
3
5
4
3
1
2
S
6
6
1
8
1
5
1 1
3
1 9
1 4
2
3
1
3
2
3
3
1
JUNE
3
2
2
1
3
5
2
1
1
2
2
2
1
2
10
1 7
4
1 2
8
3
2
4
2
1
5
5
5
3
2 0
1 2
6
JUIY
3
1
2
3
4
1
1
4
1
1
2
1
2
7
1 6
7
1 3
3
2
2
8
4
1
2
2
2
2
2
1
1
AUG
4
7
3
4
2
1
2
1
2
2
1
1
2
1
2
1
5
1 0
2
1 0
5
2
1
3
3
3
1
3
3
1
SEPT
1
1
3
3
3
2
1
1
3
6
2
1
6
2 9
1 3
1 0
5
1
2
4
6
1
4
5
3
2
3
7
4
1
2
2 0
1 5
1 0
OCT
4
4
1
2
2
1
1
2
2
2
2
2
2
1
3
3
3
6
3 1
1 4
8
3
2
1
2
1
1
4
8
4
2
3 0
2 0
1 0
NOV
3
7
3
2
1
4
4
4
1
3
5
1
1
2
2
2
1
7
1 4
5
8
3
1
1
1
1
2
9
4
2
6
4
3
2
50
30
10
DEC
2
5
2
1
2
8
5
2
2
1
2
2
1
2
3
4
2
2
7
1 4
3
9
5
1
2
1
3
3
3
3
5
3
1
1
1 0
1 0
1 0
-------
TABLE 17. MANGANESE—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10-'
181
STATION LOCATION
WILLIAMSPORT PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
WASHINGTON DC
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LOUISVILLE KY
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BALTIMORE MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
CHARLESTON * VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TAMPA FLA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ATLANTA G A
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHATTANOOGA TENN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHICAGO ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EAST ST LOUIS ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EAST CHICAGO IND
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DETROIT MICH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CINCINNATI OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
VOUNGSTOWN OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
MILWAUKEE W 1 S
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
MINNEAPOLIS MINN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
55 56
54 56
54 55
57
54 55
54 55
54 56
55 56
54 55
55 56
55 56
53 54
54 55
57
5 7
54 55
JAN
1
6
6
6
2
2
2
2
1
B
8
8
2
1
1
3 0
3 0
3 0
1
4
2 1
1 0
4
8
4
6
7 0
1 7
4
3
1 8
b
2
4
3
3
1
8
8
8
FEB
3
1 0
5
1
5
1 5
1 0
9
5
2
2
8
6
5
1
3 0
3 0
3 0
2
2
1
1
3
1 4
1 0
8
5
5 0
1 6
7
3 0
2 2
7
2
6
3
5
3 0
9
1
5 4
5 4
5 4
5
2 1
1 3
3
2
4
2
4
1 1
7
5
MAR
1
7
7
7
1
4
4
4
1
7
7
7
2
1 7
1 3
9
3
5 4
2 5
6
3
1 6
6
6
2 8
1 5
3
3
2 0
1 2
8
6
1 0
4
2
2 0
1 3
6
1 4
6 0
2 1
4
3
264
124
3 2
4 4
183
2 8
1
1
1 6
1 6
1 6
2
2 5
1 2
4
2 4
1 0
APR
2
1 0
6
3
3
2
1
6
1 4
6
3
3 3
1 7
4
4
8 2
3 9
5
3
1
4
1 3
6
2
19
9
3
2 0
1 3
2
9
8
7
7
3 5
1 7
7
4
4 2
3 2
22
2 0
114
2 6
1
2
6 9
4 4
1 9
3
1 2
7
4
5
8
5
3
MAY
3
9
5
2
6
1 3
4
4
2 1
1 0
1
1 3
1 3
1 3
5
2 0
1 0
5
1
3
1 S
8
2
2
7 6
6 8
6 0
1 1
6 0
1 3
2
1 0
7
5
4
120
4 9
1 5
2
2 7
2 1
1 6
2 2
232
2 4
1
1 8
1 8
1 8
2
5
4
3
4
1 2
6
2
JUNE
2
6
6
3
9
6
2
3
6
5
4
3
6 0
2 3
2
5
2
1
3
3
3
20
4 0
1 2
3
1 0
8
7
6
3 1
1 7
2
1
7 2
7 2
7 2
1 9
S 4
1 9
4
1
9
9
9
1
2
2
2
3
7
4
3
JULY
1
7
7
7
4
1 0
5
3
1 2
3
2
6
5
5
2
4 0
3 5
3 0
2
3
5
2
1
4 5
4 5
4 5
1 4
4 0
1 1
1
1 0
1 0
1 0
1 0
3 8
1 4
2
8
1 7
7
2
4 7
4 1
3 S
2
7
6
6
AUG
1
6
6
6
7
1 3
4
1 5
5
2
3
1 0
7
5
1
9 0
9 0
9 0
2
4
3
2
1
3
3
3
4
1 0
6
2
9
27
9
4
1 0
8
6
5
1 5
5
9
1 9
7
1
2
6 6
5 7
4 9
2
7
4
2
5
7
4
1
SEPT
3
1 0
7
4
6
1 6
7
2
1 0
4
2
1
6
6
6
1
90
9 0
9 0
3
3
1
4
120
5 4
1
8
6 0
2 7
9
3
1 0
6
2
7
4 0
1 9
5
1 2
5 0
1 5
1
1 3
1 3
1 3
2
7
5
3
4
6
4
3
ocr
2
3
2
1
3
1 2
7
3
9
5
2
3
7 0
2 6
2
1
2
2
2
1
2 0
20
2 0
5
8 0
3 2
1 5
6 0
1 9
4
1
1
1
1
5
4 0
2 0
8
7
6 2
1 7
2
9 0
8 5
8 0
1
3
3
3
3
4
3
1
NOV
3
8
4
2
1
1
3
3
3
2
2
1
5
5
5
3
20
7
1 3
5 3
1 3
2
8
6
5
8
1 6
6
20
252
7 3
8
3
929
341
3 6
DEC
2
1
6
8
3
1
120
120
120
1
1
4
4
4
2
300
151
3
8
4 8
1 8
5
3
7
5
4
8
1 6
6
6
4 0
1 3
2
-------
182
TABLE 17. MANGANESE—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x Ifr"
STATION LOCATION
KANSAS CITY MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ST LOUIS MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
NEW ORLEANS LA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
FT HORTH TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HOUSTON TEXAS
NUMBER OF 'SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BELLAIRE TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DENVER COL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SALT LAKE CITY UTAH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
ANCHORAGE ALASKA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LOS ANGELES CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN FRANCISCO CALIF
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
PASADENA CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BERKELEY CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN JOSE CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN LEANDRO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PORTLAND OREGON
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SEATTLE * A S H
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
54 56
55 56
54 55
54 55
54 55
54 55
54 55
54 55
54 55
54
55 56
54 56
54 55
54 56
55 56
54 55
57
JAN
4
4
1
2
8
5
2
2
2
1
140
140
140
3
1 6
7
3
2
2
2
2
3
3
2
1
7
7
7
3
4
9
4
3
9
6
5
4
1 0
6
1
3
2
1
2 0
2 0
2 0
2
2 4
1 5
7
FEB
2
6
5
5
2
8
4
3
2
3
5
2
7
8 4
2 4
2
2
3
2
1
2
2
2
2
3
6
3
2
1
6 2
6 2
6 2
2
3
2
1
5
1 9
6
5
1 5
1 0
1
6
1 1
6
1
2
2
2
2
4 7
3 1
1 5
2
5
4
3
MAR
7
4 1
1 0
2
3
3
283
9 4
8
2 9
1 3
2
4
5 7
2 5
4
2
1 0
7
5
2
6
4
3
2
3
186
7 9
1 1
2
3
9
4
1
3
2
2
2
1
1
9
5 7
2 4
1
7
7
7
APR
7
32
6
2
3
2
1
4
4
6
2
5
9
4
2
2
8
6
5
2
6
4
3
7
374
7 2
4
3 1
2 0
1 0
1
2
2
2
4
4
1
1
1
1
1
2
5
2
1
4
1 1
4
2
5
3
2
MAY
5
6
3
3
5
3
6
1 0
2
4
4
1
8
1 8
4
3
3
1
2
5
5
5
2
6
4
3
4
4 8
2 3
9
6
1 9
7
3
2
1
1
5
5
2
2
3
1
1
5
2
1
1
3
2
2
3
4 1
2 3
1 1
3
1 3
8
5
JUNE
3
5
3
2
2
10
6
3
6
9
3
2
4
4
4
1 4
3 6
8
3
8
2
5
8
2
6
5
3
7
5 3
3 0
3
2
30
1 8
1 7
2
2
1
1
5
1
2
1 3
7
2
5
1 3
3
2
1 0
7
4
3
1 2
8
4
JULY
2
3
3
1
3
5
2
6
4
1
3
7
1 8
6
2
2
2
2
2
1 0
6
3
2
4
2
1
3 4
3 4
3 4
2
2 1
18
1 5
5
3
7
1 3
6
3
2 0
1 5
1 1
5
1 6
6
4
6
3
1
2
2 0
1 5
1 0
2
3 1
1 3
5
AUG
4
1 0
6
3
30
1 3
3
4
4
2
1
2
3
1
3
1 9
9
3
2
2
2
2
4
3
2
2
4
3
3
3
1 7
6
1
2
1 6
1 2
9
2
14
1 3
1 2
5
1 3
6
2
4
6
4
2
7
3 0
3 0
1 0
2
5
3
2
SEPT
1
8
8
8
1
4
4
4
4
9
4
2
2
1
6
9 0
3 8
2
3
4
3
2
3
4
4
4
2
3
2
3
3
3 3
8
3
4
2 7
1 1
1
3
1 6
1 4
1 3
6
1 7
1 0
4
1
3
2
2
5
3 0
1 2
6
3
1 6
7
3
OCT
1
1
2
2
2
4
4
2
1
3
2
1
5
4
2
2
4
7
4
2
2
2 0
1 2
4
2
3
1
3
18
1 0
2
6
3 2
1 7
4
1 7
1 3
1 0
4
1 4
9
3
5
3
2
2 1
6 0
3 3
6
1
6
6
6
NOV
1
3
3
3
3
6
4
3
5
4
2
2
9
5
2
1
2
4
3
2
1
7
7
7
2
5
4
3
1
5
5
13
8
4
7
13
6
7
7
2
20
90
39
7
DEC
1
3
3
3
3
1 0
B
6
3
3
1
3
3
1
7
30
1 3
1
3
2 3
9
2
2
9
6
3
3
8
5
4
3
3
1
1
4
3 5
1 3
1
6
1 6
4
1
-------
TABLE 17. MANGANESE—SUBURBAN STATIONS
(MICROGRAMS PER CUBIC METER) x Ifr'
183
STATION LOCATION
MIDDLESEX CNTY MASS
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
HI N 1 M U M
LAKEHURST N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
KANAWHA CO W VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
FULTON CO GEORGIA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HAMILTON COUNTY OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DENVER COUNTY COLO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
5 5
55 56
54 55
5 4
54 55
54 55
JAN
2
1
2
1
9
9
9
FEB
1
I
3
n 0
2 6
2 0
2
3 6
2 2
9
1
1 1
1 1
1 1
1
1
1
1
MAR
2
5
3
2
3
9
3
2
5 0
4 0
3 0
1
3 3
3 3
3 3
4
1 6
8
2
1
APR
3
9
3
1
1
1
1
2
3 8
20
2
1
4
4
4
MAY
1
3
5
3 4
1 1
2
1
1
1
1
5
8
4
JUNE
3
2
1
1
3
1 7
8
3
1 1
7
4
JULY
2
1
3
7
4
2
4
1 1
8
3
1
4
4
4
AUG
3
2
1
1
1 0
1 0
1 0
4
B
6
4
SEPT
3
1
2
4
1 3
9
6
2
4
3
2
ocr
i
2
2
2
1
2
3 0
1 5
4
8
6
3
2
6
5
4
NOV
2
3
1
2
2
1
1
3
8
7
6
1
4
4
4
DEC
3
1 0
4
1
1
2
2
2
2
4
2
1
1
2
2
2
-------
184
TABLE 18. NICKEL—URBAN STATIONS
STATION LOCATION
WATERBURY CONN
bOSTON MASS
EVERETT MASS
ELIZABETH N J
PAULSBORO N J
C A M 0 E N N J
PERTH AMBOY N J
TRENTON N J
JERSEY CITY N J
NEW YORK N Y
PHILADELPHIA PA
ALTOONA PA
BRISTOL PA
CHESTER PA
ERIE PA
PITTSBURGH PA
WILLIAMSPORT PA
WASHINGTON DC
LOUISVILLE KY
BALTIMORE MD
CHARLESTON W VA
TAMPA FLA
ATLANTA GA
CHATTANOOGA TENN
CHICAGO ILL
EAST ST LOUIS ILL
SITE
1
1
1
1
1
1
1
1
1
1
1
3
3
1
1
1
4
5
6
7
1
1
1
1
1
1
2
1
1
1
2
2
3
1
4
1
1
3
4
1
3
4
1
2
YEARS
5 5
56
5 -, 56
5 5
5 5
55 56
55 56
55 56
55 56
55 56
55 56
55 56
54 55
5 « 56
5 5
56
55 56
5 <-•
5 6
5 •-'.
5 6
5 5
5 n
5 h 56
5 6
55 56
55 56
5 6
5 6
55 56
55 56
5 4
5 5
54 55
5 -i
5 r,
54 55
5 4
5 V)
54 55
5 7
5 5
5 5
55 56
5 5
5 L, 56
55 56
5 5
5 ';
5 ';
5 -3
55 56
5 -, 56
55 56
No. OF
SAMPLES
1 4
2 2
3 6
2 3
2 6
3 0
2 3
1 9
2 1
1 6
2 1
2 0
1 8
3 8
9 4
1 1
105
1 1
9
1 1
1 1
9 4
5 3
147
1 3
1 8
1 8
2 5
2 1
2 3
1 7
1 7
2 1
3 8
1 3
1 0
3 3
3 1
3 1
6 2
1 8
1 6
2 1
1 6
1 4
1 8
3 2
2 8
2 0
2 9
7 7
1 5
1 4
2 9
(MICROGRAMS PER CUBIC METER) x 10°
MIN
1 0
9
9
5
3
3
3
7
3
9
1
2 9
1
5
7
5
5
7
7
1
5
1
1
a
3
3
1 7
2
3
3
4
5
2
3
MAX
3800
100
2800
300
8 0
5 9
5 1
9 5
5 3
4 5
150
310
137
210
120
6 9
120
130
d C
9 8
8 3
130
130
130
1 0
1 7
9 8
3 0
100
300
4 0
3 2
1 3
3 2
8 0
8 6
8 6
8 0
8 6
8 6
8 4
100
3 0
6 0
1 8
3 0
3 0
100
100
4 0
100
200
5 0
2 0 C
AVG
229
3 9
113
4 2
2 6
1 9
1 7
2 5
1 9
1 6
4 3
5 4
7 8
6 5
2 7
2 3
2 6
3 0
1 3
3 7
2 2
2 7
2 6
2 6
6
7
1 6
5
1 4
1 6
2 4
1 Q
5
7
8
2 1
1 4
9
1 0
1 0
4 1
1 2
6
1 0
4
6
5
1 7
3 7
1 3
i a
3 1
8
3 0
FREQUENCY DISTRIBUTION— PERCENT
10
1 0
1 8
1 1
1 0
4
6
4
9
5
3
18
1 8
3 1
2 3
9
7
9
5
7
1
9
7
8
1
1
5
1
1
1
1 0
3
1
3
2
1
1
1
1
19
3
3
3
1
2
1
4
6
4
4
6
2
20
1 1
1 9
1 9
1 1
7
9
C:
1 0
6
^
2 1
2 2
5 5
31
1 2
9
1 2
1 3
1 5
6
1 2
10
1 1
1
6
2
4
5
1 1
3
2
3
1
2
2
2
2
£
2 2
3
2
4
J
:
2
V
s
^
7
C
1
30
1 9
2 0
3 0
2 0
1 0
1 0
8
1 3
9
7
3 6
3 1
5 7
4 1
1 5
1 1
1 5
1 6
1 6
8
1 5
1 2
1 4
3
7
2
5
7
1 9
5
-j
2
g
4
£
^
2
3
28
2
2
5
C
:
:
7
1 1
7
e
1 C
2
40
22
3 1
3 1
32
1 1
1 1
10
1 7
1 3
9
3 9
3 7
6 2
54
1 8
1 5
1 7
1 8
18
9
1 8
1 5
1 6
C
8
3
8
7
20
6
T
5
2
10
3
3
4
3
3 1
c
4
t
3
4
3
8
1 S
c
c
1 C
4
£
50
2 9
3 2
2 2
2 9
2 0
1 5
1 4
2 2
i 6
1 1
3 7
4 4
8 1
5 9
2 0
1 8
2 0
2 0
37
1 1
3 0
1 8
1 9
7
9
4
1 0
8
3 1
7
6
6
3
1 1
4
5
7
5
3 5
7
£
t
3
<:
4
g
2 C
1 C
1 C
1 3
£
c
60
3 1
3 1
3 9
3 1
2 7
1 7
1 6
2 3
1 9
1 6
4 1
5 6
9 1
6 8
3 3
2 2
2 3
3 1
4 7
1 6
2 3
2 0
2 2
7
1 0
4
1 C
9
2 2
7
7
7
3
i e
£
6
9
7
4 4
8
£
^
^
£
/
1 1
2 3
1 C
1 S
1 E
(.
c
70
4 8
4 2
4 4
4 1
39
2 4
2 0
2 6
2 1
2 0
4 4
6 C
9 6
8 8
3 9
3 1
2 9
2 2
4 9
39
2 9
2 8
2 £
E
1 £
1 3
£
1 1
1 C
3 9
i :
£
s
^
3 2
1 C
7
1 C
S
5 £
£
e
E
;
•;
;
3 (
3S
1 3
2 3
2 «
f
1 3
80
5 2
6 2
5 S
4 4
4 4
2 9
3 4
2 9
2 6
3 1
5 2
7 4
9 9
9 4
38
3 4
3 7
31
5 2
3 1
3 8
3 5
3 8
8
1 3
1 3
6
19
1 1
31
1 9
9
1 0
4
2 9
i a
1 3
1 1
1 2
5 9
1C
e
10
£
£
7
32
4 4
2 2
2 £
3 3
£
21
90
6 2
9 3
8 8
6 2
6 2
3 7
37
3 1
4 4
3 7
7 4
9 6
104
1Q2
S 0
3 7
50
5 2
Q n
-------
TABLE 18. NICKEL—URBAN STATIONS
185
STATION LOCATION
EAST CHICAGO IND
CINCINNATI OHIO
YOUNGSTOWN OHIO
MILWAUKEE WIS
MINNEAPOLIS MINN
KANSAS CITY MO
ST LOUIS MO
NEW ORLEANS LA
FT WORTH TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
DENVER COL
SALT LAKE CITY UTAH
ANCHORAGE ALASKA
SAN FRANCISCO CALIF
PASADENA CALIF
SAN JOSE CALIF
SAN LEANDRO CALIF
PORTLAND OREGON
SEATTLE WASH
SITE
1
3
3
4
1
1
1
1
3
4
1
1
2
1
1
1
1
1
1
2
1
1
1
1
1
1
1
YEARS
55 56
55 56
55 56
5 S 56
5 b 56
5 5
5 7
5 7
54 55
55 56
5-i 56
5 -> 56
55 56
54 55
54 55
5 t 55
54 55
54 55
5 4
5 b
54 55
54 55
54 55
54 55
55 56
55 56
55 56
55 56
54 55
5 7
No. OF
SAMPLES
l y
2 6
2 1
2 0
8 6
2 3
1 2
1 9
2 1
1 8
9
2 7
2 3
2 4
2 2
4 6
2 4
6 4
1 7
1 4
3 1
2 3
2 6
1 3
3 2
2 0
2 5
3 0
2 0
2 0
(MICROGRAMS PER CUBIC METER) x 1O1
MIN
3
2
3
1
1
1 0
1 1
2
4
4
1
1
3
4
5
2 0
2 S
MAX
3 0
6 0
100
4 0
100
9 9
5 3
7 0
6 0
3 0
8
3 0
5 0
7
7
7
1 0
6 0
5
1 0
1 0
2 0
3 0
120
3 0
100
4 0
9 0
100
180
AVG
1 5
1 7
P. 6
1 2
1 8
1 3
3 5
2 9
8
1 0
3
8
1 3
2
2
2
3
3
1
3
1
4
1 1
1 7
8
3 0
1 6
1 7
6 5
7 8
FREQUENCY DISTRIBUTION — PERCENT
10
6
4
4
3
4
4
1 6
1 5
2
5
1
4
1
5
1
2
5
5
7
2 8
2 3
20
8
5
7
4
5
5
2 2
1 7
3
6
1
3
7
1
1
1
1
1
1
6
4
2
1 0
6
9
3 1
2 6
30
1 0
6
1 0
5
7
6
2 6
1 9
4
6
1
4
7
1
1
1
2
1
1
1
1
1
6
5
3
1 1
9
1 0
4 4
5 2
40
1 0
8
1 1
5
9
9
3 1
2 0
4
7
1
5
8
2
1
2
2
2
1
1
1
1
7
7
4
16
10
10
5 2
6 6
SO
1 1
1 1
2 0
6
1 0
1 0
3 4
2 2
5
9
4
7
9
2
2
2
3
2
1
1
1
2
9
1 0
5
2 0
1 1
1 1
6 2
7 4
60
1 1
1 9
2 i
7
1 9
1 0
3 7
2 4
5
1 0
4
8
1 0
3
2
2
3
2
1
3
2
3
1 0
1 0
6
2 2
1 9
1 8
7 4
8 3
70
2 0
2 2
2 2
1 1
2 1
1 0
4 4
3 1
6
1 1
4
1 0
1 1
3
2
3
4
3
2
3
2
5
1 1
1 1
8
2 8
2 1
2 0
8 8
9 6
80
2 2
2 9
4 8
2 2
2 8
1 1
4 9
4 1
1 0
1 3
5
1 1
2 0
4
3
3
5
4
2
4
3
6
1 9
1 1
1 1
3 1
2 2
21
9 3
110
90
2 9
3 1
6 2
2 9
3 1
2 0
5 2
5 7
1 1
1 8
5
1 7
2 2
6
4
5
7
6
3
6
5
1 1
2 2
2 2
2 1
9 3
3 7
2 9
9 9
123
-------
186
TABLE 18. NICKEL—URBAN STATIONS—TOTALS
STATE OR REGION
CONNECTICUT TOTAL
MASSACHUSETS TOTAL
NEW JERSEY TOTAL
NEW YORK TOTAL
PENNSYLVANIA TOTAL
DIS COLUMBIA TOTAL
KENTUCKY TOTAL
MARYLAND TOTAL
WEST VIRGINA TOTAL
FLORIDA TOTAL
GEORGIA TOTAL
TENNESSEE TOTAL
ILLINOIS TOTAL
INDIANA TOTAL
OHIO TOTAL
WISCONSIN TOTAL
MINNESOTA TOTAL
MISSOURI TOTAL
LOUISIANA TOTAL
TEXAS TOTAL
COLORADO TOTAL
UTAH TOTAL
ALASKA TOTAL
CALIFORNIA TOTAL
OREGON TOTAL
WASHINGTON TOTAL
NEW ENGLND TOTAL
MID ATLNTC TOTAL
MID EAST TOTAL
SOUTH EAST TOTAL
MID WEST TOTAL
CRT PLAINS TOTAL
GULF SOUTH TOTAL
ROCKY MNTN TOTAL
PAC COAST TOTAL
GRAND TOTAL
YEARS
55 56
5 5
55 56
54 56
55 56
55 56
54 55
57
5 5
5 5
55 56
55 56
55 56
55 56
55 57
5 7
54 55
55 56
54 55
54 55
54 55
54 55
54 55
55 56
54 55
57
55 56
54 56
54 57
55 56
55 57
54 56
54 55
54 55
54 57
54 57
No. OF
SAMPLES
3 6
4 9
120
3 b
265
1 7
6 2
1 8
1 6
2 1
1 6
3 2
106
8 6
3 5
1 9
2 1
5 0
4 6
119
2 3
2 6
1 3
107
2 0
2 0
8 5
423
113
6 9
246
7 1
165
4 9
160
1381
(MICROGRAMS PER CUBIC METER) x 10"1
MIN
9
3
1
8
1 7
2
3
1
1 1
2
1
2 0
2 2
3
MAX
2800
300
150
210
200
4 0
8 6
8 4
100
2 0
6 0
3 0
300
100
9 9
7 0
6 0
5 0
7
6 0
20
3 0
120
100
100
'180
2800
210
100
6 0
200
6 0
60
3 0
180
3800
AVG
113
3 4
2 3
6 5
1 9
2 4
1 0
4 1
1 2
6
1 0
5
1 9
1 8
2 0
3 9
8
1 0
3
3
4
1 1
1 7
1 6
6 5
7 8
6 7
3 5
1 7
7
1 9
9
3
8
3 0
2 1
FREQUENCY DISTRIBUTION— PWCENT
10
1 1
6
5
2 2
3
1 0
1
19
2
2
3
1
4
4
5
1 5
2
3
5
1
3
2 a
23
9
4
2
2
4
3
4
2
20
1 9
1 0
9
3 1
5
1 1
2
22
3
3
4
2
6
5
6
17
3
4
1
1
1
6
4
5
3 1
3 6
1 1
7
3
3
6
4
1
1
6
3
30
20
1 1
1 0
4 1
8
1 9
•J
28
3
t
5
3
7
7
9
1 9
4
6
1
1
1
6
5
7
4 4
52
1 9
9
5
3
8
4
1
3
9
5
40
3 1
2 0
1 4
5 4
10
2 0
3
3 1
C
4
6
3
9
9
10
2 0
4
7
2
1
1
7
7
9
5 2
6 6
3 1
1 2
7
4
9
5
2
5
10
8
SO
2 2
2 7
1 8
5 9
1 2
3 1
C
3 5
7
c
6
4
1 0
1 0
1 1
3 2
5
8
2
2
3
9
1 0
1 0
6 2
7 4
2 6
1 6
9
5
1 1
7
2
6
1 9
1 0
60
3 9
29
2 2
6 8
1 6
2 2
7
4 4
8
q
7
-------
TABLE 18. NICKEL—SUBURBAN AND NONURBAN STATIONS
187
STATION LOCATION
SUBURBAN
MIDDLESEX CNTY MASS
LAKEHURST N J
KANAWHA CO W VA
DENVER COUNTY COLO
GRAND TOTAL
NONURBAN
PT WORONZOF ALASKA
SITE
1
1
1
1
1
YEARS
5 5
55 56
5 5
54 55
54 56
55 56
No. OF
SAMPLES
2 3
1 7
1 7
1 0
6 7
1 2
1MICROGRAMS PER CUBIC METER) x 10°
MIN
2
MAX
3 0
3 9
3 0
5
3 9
200
AVG
9
8
3
2
6
3 0
FREQUENCY DISTRIBUTION— PERCENT
10
1
1
1
1
2
20
2
3
1
1
1
C
30
3
4
1
t
2
9
40
3
5
£
2
3
9
50
c
5
i
£
4
1 0
60
g
6
3
3
4
2 0
70
1 0
1 0
i
3
6
2 0
BO
1 9
1 3
c
4
1 0
30
90
3 2
3 6
6
4
1 9
3 0
486455 O -5B -11
-------
188
TABLE 18. NICKEL—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10J
STATION LOCATION
KATERBURY CONN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BOSTON MASS
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
EVERETT MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ELIZABETH N J
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
PAULSBORO N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CAMDEN N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PERTH AMBOY N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TRENTON N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
JERSEY CITY N J
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
N E * YORK N V
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PHILADELPHIA PA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
ALTOONA PA
NUMBER OF SAMPLES
MAX! MUM
AVERAGE
Ml N 1 M U M
BRISTOL PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
CHESTER PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ERIE PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PITTSBURGH PA
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
MINIMUM
YEARS
55 56
55
55
55 56
55 56
55 56
55 56
55 56
55 56
54 56
55 56
56
55 56
55 56
56
5 6
JAN
2
2 0
2 0
2 0
1
6 0
6 0
6 0
3
2 0
1 6
8
3
1 6
1 3
9
2
2 4
2 1
1 9
2
2 5
2 4
2 4
3
3 9
1 5
3
3
2 0
1 3
9
2
3 4
2 7
2 0
1
0 9
8 9
8 9
1 7
120
3 9
9
3
2 0
1 3
9
3
1 0
8
5
FEB
2
6 0
4 0
2 0
2
3 0
2 5
2 0
3
8 0
39
8
2
1 0
8
6
4
5 1
3 3
1 6
3
7 2
4 2
2 6
1
8
8
8
2
4 1
3 0
1 9
3
100
7 2
4 6
3
8 4
66
5 5
1 3
6 9
3 6
1 1
1
3
3
3
1
1 7
1 7
1 7
1
1 7
1 7
1 7
1
4
4
4
3
9
6
4
MAR
4
8 0
4 0
2 0
4
5 0
3 5
2 0
3
5 0
3 0
1 0
2
5 9
3 8
1 8
2
4 0
2 5
1 1
2
2 8
2 8
2 8
3
2 1
1 9
1 9
1
4 5
4 5
4 5
3
150
8 5
4 1
1
58
58
58
1 3
4 3
2 0
9
1
7
7
7
1
1 2
1 S
1 2
2
6
6
6
3
4 0
2 3
1 0
APR
5
50
3 2
2 0
1
1 0
10
1 0
1
4
4
4
5
3 5
19
9
4
2 3
15
1 0
1
10
10
1 0
4
5 3
32
1 4
3
89
25
22
4
110
78
30
1 3
98
27
9
B
8
6
5
1
3
3
3
2
9 8
5 3
8
3
5
2
MAY
3
8800
946
20
1
2 0
2 0
2 0
3
8 0
5 5
3 0
1
1 0
1 0
1 0
3
5
4
3
1
1
6 8
6 8
6 8
1 8
130
2 6
8
3
1 0
6
3
8
3
1
2
5
3
2
2 0
1 0
JUNE
3
2 0
1 6
10
2
2 0
1 2
5
3
20
1 2
6
1
1 1
1 1
1 1
1
7
7
7
1
7
7
7
2
4 5
4 3
4 1
7
60
38
2 1
1 2
7 4
2 2
5
2
1 2
8
5
1
4
4
4
3
100
4 0
1 0
JULY
3
4 0
2 6
2 0
2
300
170
4 0
3
4 0
17
3
1
3
3
3'
4
2 2
9
4
1
1 4
14
1 4
1
5
5
5
2
4
3
3
2
1 8
1 3
9
4
100
6 7
2 1
1 3
2 3
1 1
1
2
1 3
6
2
1 0
1 0
1 0
1
3
3
3
2
AUG
4
8 0
1 2
9
4
3 0
15
1 0
2
3 0
16
3
2
27
16
6
1
4
4
4
2
9 5
6 1
28
2
1 9
16
1 3
1
4
4
4
2
4 1
3 8
3 5
4
6 0
86
1
1 3
4 0
1 8
6
1
8
8
8
1
3
5 7
2 4
7
SEPT
1
4 0
4 0
4 0
1
7 0
7 0
7 0
2
3 0
1 8
7
1
3 0
3 0
3 0
3
1 7
1 2
9
1
2 8
2 8
28
2
4 1
4 0
4 0
1 0
4 0
2 0
8
2
1 0
6
3
4
1 7
6
3
4
1 4
1 0
7
3
5
3
2
2
2 0
1 5
1 0
OCT
4
9 0
5 2
3 0
2
4 0
35
3 0
1
70
70
70
2
1 8
1 6
1 5
2
1 2
1 1
10
2
38
2 4
1 0
1
3 5
35
3 5
3
9 5
69
5 4
8
52
2 0
1 8
2
1 0
5
2
9
4
1
6
6
6
4
7
3
2
2
2 0
1 3
7
NOV
3
100
6 6
50
2
60
4 5
30
1
20
20
20
1
25
25
25
3
26
13
6
1
15
15
15
1
30
30
30
4
210
119
68
8
89
35
7
1
8
B
8
2
9
7
5
2
5
4
3
2
10
6
3
DEC
2
100
80
60
1
40
40
40
2
60
40
20
2
40
25
1 0
1
7
7
7
8
1 9
1 8
1 7
2
18
1 5
1 3
3
30
18
1 1
2
4 2
32
2 2
4
137
91
45
9
83
4 1
1 5
2
17
1 6
1 5
1
1 1
1 1
11
3
4
3
8
1
8
8
8
-------
TABLE 18. NICKEL—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x Ifr1
189
STATION LOCATION
WILLIAMSPORT PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
WASHINGTON DC
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
LOUISVILLE KY
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BALTIMORE MD
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHARLESTON W VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
TAMPA FLA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ATLANTA GA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHATTANOOGA TENN
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
CHICAGO ILL
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
MINIMUM
EAST ST LOUIS ILL
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
EAST CHICAGO INO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CINCINNATI OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YOUNGSTOWN OHIO
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
MILWAUKEE WIS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
MINNEAPOLIS MINN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
KANSAS CITY MO
NLTMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
YEARS
55 56
55 56
54 55
57
5 5
5 5
55 56
55 56
5 5
55 56
55 56
5 5
5 7
5 7
54 55
55 56
JAN
1
4 0
4 0
4 0
2
2
2
2
1
3 5
3 5
3 5
2
2 0
1 1
3
1
1 0
1 0
I 0
1
2
1 0
9
9
4
5 0
2 1
4
6
6 0
3 0
5
2
1 0
8
6
2
5 8
4 9
4 1
1
1 0
1 0
1 0
4
3 0
1 5
5
FEB
3
2 0
1 2
7
2
3 0
2 5
2 0
3
8 6
3 3
3
2
4 5
4 3
4 2
1
8
8
8
1
8
8
8
1
7
7
7
5
6
3
3
5 0
3 0
1 0
2
6
5
5
5
30
1 5
6
2
7 0
4 4
1 9
1
7
7
7
2
1 7
1 3
1 0
MAR
1
1 0
1 0
1 0
1
1 3
1 3
1 3
2
5 7
3 7
1 7
1
7
7
7
1
2 0
2 0
2 0
3
9
6
4
3
3 0
1 3
4
6
100
3 3
3
2
200
104
8
1 4
7 0
2 7
4
2
2 0
1 3
6
1
2 3
2 3
2 3
2
3 9
2 7
1 5
1
1 0
1 0
1 0
3
1 2
8
7
APR
2
2 0
1 4
9
1
2 0
2 0
2 0
1
9
9
9
3
8 4
6 0
2 1
3
5
4
3
2
6
5
4
2
3
1
3
7 0
39
9
2
3 0
1 9
9
7
5 0
2 6
4
2
1 0
7
5
2
5 0
3 8
26
3
5 5
36
25
1
6
6
6
3
5
4
4
MAY
3
2 0
1 0
5
3
3 0
2 3
2 0
1
3
3
3
1
5 3
5 3
5 3
2
2 0
1 1
3
2
5
4
3
1
6 0
6 0
6 0
2
8
6
5
8
5 0
1 5
4
2
5 0
2 6
3
4
3 0
2 0
1 0
2
1 0
7
5
1
3 3
3 3
3 3
2
2 5
2 2
1 9
3
6
2
JUNE
2
2
1
2
4 0
2 5
1 0
3
1 2
6
3
3 3
26
1 9
2
1 0
6
3
1
3
3
3
1
3
3
3
1 1
100
2 0
6
3
9
6
4
6
3 0
1 2
2
2
1 2
1 1
1 0
1
1 6
1 6
1 6
1
1 1
1 1
1 1
2
5
3
2
2
1 0
7
4
JULY
1
8
8
8
1
3 0
3 0
3 0
1 3
3 0
7
2
3 3
3 1
2 9
2
5
4
3
2
5
4
3
3
2 0
1 0
3
1
3
3
3
9
2 0
7
1
1 0
1 0
1 0
1 0
1 1
6
1
2
1 0
7
5
2
4 6
3 9
3 3
2
2 2
2 0
1 9
2
5
3
1
AUG
1
200
200
200
3
2 0
1 2
8
1 3
2 8
6
3
5 6
3 4
1 9
1
1 0
1 0
1 0
2
2 0
1 2
5
1
7
7
7
4
6
4
2
6
3 0
1 1
4
4
1 0
9
6
5
100
2 4
4
3
1 0
8
4
2
5 3
4 2
3 1
2
1 7
1 6
1 6
5
6 0
1 4
2
4
1 0
7
SEPT
3
1 0
9
8
2
3 0
2 5
2 0
1 2
3 2
9
1
6 7
6 7
6 7
1
9
9
9
3
9
6
5
4
9
5
3
4
3 0
1 9
7
3
6 0
2 3
2
7
2 0
9
5
2
9
4
1
2 1
2 1
2 1
2
3 6
2 8
2 0
4
5
4
4
1
4
4
4
OCT
2
5
2
1
4 0
4 0
4 0
6
1 4
7
2
3
8
6
3
1
7
7
7
1
1 0
1 0
1 0
5
1 8
8
2
1 0
3 0
1 3
5
1
3
•3
3
6
3 0
2 1
7
2
2 2
1 4
6
2
5 1
4 6
4 2
1
1 8
1 8
1 8
3
6
5
4
1
7
7
7
NOV
3
10
8
6
1
20
20
20
1
4
4
4
2
100
5 0
2
3
2
2
1
6
6
6
3
4
3
2
10
30
1 6
7
2
9
7
6
8
30
10
5
2
9 9
5 4
10
2
10
7
4
1
10
10
10
DEC
2
8
8
8
6
8 0
2 1
2
1
7
7
7
1
4
4
4
1
8
8
8
2
1 0
7
4
5
5 0
3 0
2 0
3
2 0
1 4
4
8
4 0
1 3
3
2
1 0
1 0
1 0
1
20
2 0
2 0
1
2 0
2 0
20
-------
190
TABLE 18. NICKEL—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 1Q-3
STATION LOCATION
ST LOUIS MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NEW ORLEANS LA
NUMBER Of SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
FT WORTH TEXAS
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
HOUSTON TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BELLAIRE TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DENVER COL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SALT LAKE CITY UTAH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ANCHORAGE ALASKA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN FRANCISCO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PASADENA CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN JOSE CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN LEANDRO CALIF
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
PORTLAND OREGON
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SEATTLE WASH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
55 56
54 55
54 55
54 55
54 55
54 55
54 55
54 55
55 56
55 56
55 56
55 56
54 55
57
JAN
2
3 0
2 5
2 0
2
3
1
2
5
3
2
3
4
1
2
5
2
3
2 0
9
1
3
3 0
2 2
7
2
100
100
100
1
2 0
2 0
2 0
3
2 0
1 3
10
1
100
100
100
2
100
150
120
FEB
2
5 0
35
2 0
3
5
4
3
2
1 0
8
6
5
3
2
2
2
5
4
3
2
3 0
1 8
7
1
4
4
4
2
8
5
3
2
100
5 2
5
2
1 0
9
9
1
5
6
5
2
120
110
100
MAR
3
3
1
2
7
4
2
6
6
2
3
3
2
2
2
1 0
6
3
2
3 0
1 8
7
2
1 0
5
2
2 0
1 1
3
1
3
3
3
2
5
4
4
2
1 0
1 0
1 0
3
100
6 0
2 0
1
140
140
140
APR
2
20
1 4
8
4
2
S
5
4
4
4
3
2
2
2 0
15
1 0
2
7
6
5
2
20
1 1
3
1
10
1 0
10
3
2 0
15
10
1
7
7
7
1
30
3 0
30
2
3 0
2 7
25
MAY
3
8
6
4
4
7
3
2
2
3
2
2
5
3
1
2
6
5
4
2
2 0
1 1
3
2
2 0
1 3
6
3
1 0
5
3
3
3 0
2 1
1 0
3
4 0
1 9
7
1
1 0
1 0
1 0
3
120
9 0
7 1
JUNE
2
7
6
5
4
3
1
2
9
7
5
6
S
3
2
1 0
5
2
2
30
20
10
4
120
39
9
2
9
7
5
2
1 0
8
7
3
1 0
7
6
2
3 0
20
1 0
2
5 8
4 0
2 2
JULY
2
8
6
4
6
7
3
2
3
2
2
7
5
2
2
3
2
2
2
1 0
6
3
2
2 0
1 3
7
5
7
5
3
3
3 0
2 0
1 0
3
2 0
13
1 0
4
2 0
1 7
9
2
100
8 S
7 0
2
7 5
6 1
4 8
AUG
3
2 0
1 2
6
4
5
3
3
2
2
2
2
3
3
2
3
5
2
2
3
1
2
1 0
1 0
1 0
1
1 0
1 0
1 0
2
4
4
4
3
3 0
2 4
2 1
4
9 0
3 0
1 0
7
100
57
3 0
2
9 5
5 9
2 4
SEPT
1
1 0
1 0
1 0
4
6
3
3
2
3
2
1
6
1 6
7
3
2
2
1 0
1 0
1 0
3
5
3
2
2
3 0
2 5
2 0
2
3 5
3 4
3 4
1
1 0
1 0
1 0
5
9 0
6 4
30
3
7 1
5 5
2 6
OCT
1
8
8
8
4
5
1
2
3
3
3
6
60
1 2
4
2
1
2
2
10
1 0
1 0
1
1 0
1 0
1 0
3
S 0
9
2
2
40
3 0
2 0
1
1 6
1 6
1 6
3
2 0
2 0
2 0
1
100
100
100
1
8 8
88
88
NOV
3
10
9
8
5
3
1
2
4
2
1
9
3
1
2
2
1
1
6
6
6
2
10
8
6
1
5
5
5
5
20
7
2
20
12
5
7
40
19
5
DEC
2
20
1 5
1 0
3
7
4
2
4
3
2
7
12
5
1
3
5
2
2
3
10
7
6
1
7
7
7
1
20
20
20
3
40
2 2
7
1
1 0
1 0
10
-------
TABLE 18. NICKEL— SUBURBAN AND NONURBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10-'
191
STATION LOCATION
SUBURBAN
MIDDLESEX CNTY MASS
NUMBER OF SAMPLES
M A .X 1 MUM
AVERAGE
Ml N 1 M U M
LAKEHURST N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
K A N A W H A CO IV VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DENVER COUNTY COLO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NONURBAN
PT WORONZOF ALASKA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
YEARS
5 5
55 56
5 5
54 55
55 56
JAN
2
2 0
1 1
3
a
1 4
1 2
1 0
1
3
3
3
1
3 0
3 0
3 0
FEB
1
2 0
2 0
2 0
1
3
7
2
1
2
2
2
MAR
2
2 0
I 2
4
2
1 1
a
5
2
5
4
3
1
1
2
2
2
APR
2
3 9
2 1
3
1
4
4
4
1
200
200
200
MAY
1
2
2
2
2
6
3
2
2 0
1 3
6
2
3 0
2 5
2 0
JUNE
3
3 0
1 6
1
1 3
1 3
1 3
1
4
4
4
JULY
2
1 0
6
3
1
5
5
5
3
3
1
1
5
5
5
1
2 0
2 0
2 0
AUG
3
1 0
5
2
1
5
5
5
2
9
7
5
SEPT
3
1 0
6
3
2
5
4
4
2
3
2
2
1
6
6
6
ocr
i
i
3
3
3
2
4
3
3
2
3
3
3
1
9
9
9
NOV
2
9
5
2
2
1 7
1 1
6
1
1
4
4
4
1
2 0
2 0
2 0
DEC
3
3 U
1 3
4
1
5
5
5
1
1
2
2
2
1
1 0
1 0
1 0
-------
192
TABLE 19. POTASSIUM—URBAN STATIONS
STATION LOCATION
NEW YORK N Y
PHILADELPHIA PA
WASHINGTON DC
LOUISVILLE KY
CHARLESTON W VA
TAMPA FLA
ATLANTA (, A
CHICAGO ILL
DETROIT MICH
CINCINNATI OHIO
MINNEAPOLIS MINN
KANSAS CITY MO
NEW ORLEANS LA
FT WORTH TEXAS
LAKEWORTH TEXAS
HOUSTON TEXAS
SALT LAKE CITY UTAH
ANCHORAGE ALASKA
LOS ANGELES CALIF
PASADENA CALIF
BERKELEY CALIF
SAN JOSE CALIF
PORTLAND OREGON
SITE
2
3
1
1
1
1
1
3
4
5
1
1
1
1
8
1
1
1
1
1
2
4
5
YEARS
54 55
5 4
54 55
54
54 55
5 4
54
54
54
54
5 5
54 55
53 54
54 55
5 4
5 4
54
54 55
5 4
5 4
5 4
5 4
5 4
5 4
5 4
54 55
5 4
54 55
S4 55
54 55
54
5 4
5 4
5 4
54
No. OF
SAMPLES
2 e
7
3 6
1 0
3 5
9
7
1 0
9
3 7
6
4 3
2 9
7 3
1 9
1 6
2 7
135
1 4
6
4
6
5
1 6
5
2 4
1 9
3 4
3 5
3 4
1 9
1 5
1 0
1 0
5 4
(MICROGRAMS PER CUBIC METER) x 10°
MIN
1
3
1
5
3
7
3
3
3
4
2
6
5
1 4
1
1
1 2
1 0
MAX
5 9
2 8
5 9
3 8
3 4
4 4
4 2
1 8
3 6
8 6
4 4
8 6
7 1
5 1
5 3
3 6
6 9
6 9
3 0
8
3 2
5 9
3 3
4 8
4 2
400
4 0
5 2
3 5
2 5
3 2
2 9
3 6
2 3
3 6
AVG
2 5
1 0
3 1
1 3
1 5
2 5
1 3
7
1 0
3 2
3 0
3 1
27
1 5
2 3
1 6
2 8
1 9
1 1
4
1 4
2 0
1 7
1 0
2 2
2 8
1 5
2 2
1 2
1 3
1 2
1 6
2 1
1 5
1 5
FREQUENCY DISTRIBUTION— PEtCENT
10
6
1
4
1
1
3
1
1
1
3
5
2
4
5
1 1
5
9
6
4
3
5
1
14
3
2
5
1
1
1
1 2
1 0
1
20
1 1
1
9
3
5
1 1
1
3
4
1 1
5
1 5
1 1
8
1 3
6
10
9
5
2
6
5
1
1 4
1
4
1 1
7
7
3
1
1 3
1 1
9
30
1 5
4
1 1
7
9
1 5
5
3
4
1 9
2 9
2 3
1 4
1 0
1 6
1 1
1 4
1 2
6
3
6
7
9
1
1 5
4
7
1 4
8
1 0
8
1 6
1 5
1 2
1 1
40
2 2
9
1 4
8
1 4
17
5
3
a
2 8
2 9
28
2 1
1 2
19
1 4
17
1 4
9
3
9
7
9
1
1 5
7
9
20
10
1 4
1 0
17
1 7
1 3
1 3
50
2 7
1 0
2 2
1 2
1 7
2 1
6
5
8
3 2
3 0
3 2
2 3
1 4
2 2
1 5
2 1
1 6
1 1
4
9
9
1 3
6
1 7
9
1 1
2 2
1 2
1 6
1 0
1 9
1 8
1 5
1 5
40
3 0
1 0
2 8
1 2
1 8
2 1
6
5
8
3 7
38
37
3 6
1 6
2 3
1 7
2 9
1 8
1 3
4
9
1 1
1 3
1 0
1 7
1 1
1 5
3 4
1 3
i 7
1 1
3 1
1 9
1 6
1 7
70
3 3
1 1
3 0
1 3
2 0
3 6
9
1 1
9
4 1
3 8
4 1
3 7
1 8
2 4
2 1
3 4
2 2
1 5
4
1 9
1 1
3 3
1 1
3 4
1 5
2 3
3 0
1 5
1 8
1 3
2 4
2 6
17
3 1
•0
36
1 2
3 4
1 3
2 1
3 8
27
1 5
1 5
4 8
4 3
4 5
4 3
2 2
27
23
4 8
26
16
6
1 9
30
32
1 9
2 4
1 9
27
3 2
1 6
1 9
17
26
27
19
2 5
90
4 1
1 2
3 9
2 7
2 7
4 6
2 7
1 7
2 6
5 8
4 3
58
5 1
3 8
4 1
2 3
61
3 6
1 9
6
2 4
3 0
34
3 4
4 3
3 4
3 0
3 8
2 6
2 0
27
3 9
3 4
3 3
3 9
-------
TABLE 19. POTASSIUM—URBAN STATIONS—TOTALS
193
STATE OR REGION
NEW JERSEY TOTAL
NEW YORK TOTAL
PENNSYLVANIA TOTAL
DIS COLUMBIA TOTAL
KENTUCKY TOTAL
WEST VIRGINA TOTAL
FLORIDA TOTAL
GEORGIA TOTAL
ILLINOIS TOTAL
MICHIGAN TOTAL
OHIO TOTAL
MINNESOTA TOTAL
MISSOURI TOTAL
LOUISIANA TOTAL
TEXAS TOTAL
COLORADO TOTAL
UTAH TOTAL
ALASKA TOTAL
CALIFORNIA TOTAL
OREGON TOTAL
MID ATLNTC TOTAL
MID EAST TOTAL
SOUTH EAST TOTAL
MID WEST TOTAL
CRT PLAINS TOTAL
GULF SOUTH TOTAL
ROCKY MNTN TOTAL
PAC COAST TOTAL
GRAND TOTAL
YEARS
5 5
54 55
5 4
54 55
5 4
5 4
5 4
5 <*
54 55
53 5i
54 55
54
5 4
5 4
54
5 4
5 4
54 55
54 55
5 4
54 55
54 55
54
53 55
5 4
5 4
5 4
54 55
53 55
No. OF
SAMPLES
1 0
3 6
1 0
2 5
9
7
1 0
y
4 3
3 3
135
1 4
6
4
2 9
3
5
2 4
113
5 4
5 6
4 1
1 9
211
2 0
3 3
8
191
579
(MICROGRAMS PER CUBIC METER) x 10-'
MIN
1 1
3
1
3
4
2
6
4
1 4
2
4
MAX
3 0
5 9
2 a
3 4
4 4
4 2
1 8
2 6
8 6
7 1
6 9
2 0
8
2 2
5 9
1 1
4 2
400
5 2
3 6
5 9
4 4
2 6
8 6
2 0
5 9
4 2
400
400
AVG
1 8
2 1
1 2
1 5
2 5
1 3
7
1 0
3 1
2 4
1 9
1 1
4
1 4
1 3
6
2 2
2 8
1 5
1 5
1 9
1 7
9
3 2
9
1 3
1 6
1 7
1 3
FREQUENCY DISTRIBUTION— PERCENT
10
1 1
4
1
1
3
1
1
1
2
4
6
4
2
1 4
^
1
4
1
1
5
3
4
1
3
20
1 4
C;
3
5
1 1
1
2
4
1 5
8
9
5
2
6
1
4
1 4
1
7
9
9
5
2
9
4
1
4
6
6
30
1 5
1 1
7
9
1 5
5
2
4
2 3
1 3
1 2
6
3
6
1
4
1 5
4
9
1 1
1 1
6
4
1 2
4
5
4
9
9
40
1 6
1 4
8
1 4
1 7
5
3
8
2 8
1 4
1 4
9
3
9
6
4
1 5
7
1 2
13
1 3
1 4
5
1 5
6
6
1 1
1 1
1 2
50
1 7
2 2
1 2
1 7
2 1
6
C
8
3 2
2 2
1 6
1 1
4
9
9
4
1 7
9
1 4
1 5
1 7
1 6
8
i a
a
9
1 4
1 4
1 5
60
1 8
2 8
1 2
1 8
2 1
6
5
8
3 7
2 4
1 8
1 2
4
9
1 0
4
1 7
1 1
1 7
1 7
2 2
1 9
8
2 2
9
1 0
1 5
1 7
1 8
70
i y
3 0
1 3
2 0
3 6
9
1 1
9
4 1
3 5
2 2
1 5
4
1 9
1 3
4
2 4
1 5
1 9
2 1
2 7
2 0
1 1
2 7
1 2
1 5
1 7
1 9
2 2
80
21
3 4
1 3
2 1
3 8
2 7
1 5
1 5
4 5
4 1
2 6
1 6
6
1 9
2 4
4
2 4
1 9
2 3
2 5
3 0
2 6
1 5
3 5
1 5
2 3
1 7
2 4
2 8
90
2 7
3 9
2 7
2 7
4 6
2 7
1 7
2 6
5 8
5 1
3 6
1 9
6
2 4
3 2
1 1
4 3
3 4
3 0
2 9
3 6
3 6
1 9
4 6
1 7
3 2
2 4
3 0
3 7
-------
194
TABLE 19. POTASSIUM—SUBURBAN STATIONS
STATION LOCATION
KANAWHA CO W VA
HILLSBOROUGH CO FLA
FULTON co GEORGIA
HAMILTON COUNTY OHIO
TONKA BAY MINN
SALT LAKE CO UTAH
MULTNOMAH CNTY ORE
GRAND TOTAL
SITE
1
1
1
1
1
1
1
YEARS
54
5 4
5 4
54 55
5 4
54
5 4
54 55
No. OF
SAMPLES
6
4
5
3 6
9
5
1 2
7 9
(MICROGRAMS PER CUBIC METER) x 10-'
MIN
1
4
MAX
2 3
1 1
2 9
3 4
3 8
2 3
1 5
3 8
AVG
6
6
8
1 2
9
1 0
9
1 0
FREQUENCY DISTRIBUTION— PERCENT
10
1
1
6
1
1
4
1
20
1
1
1
7
2
1
5
4
30
1
1
2
8
2
9
6
6
40
1
4
2
9
5
9
7
8
50
4
4
4
1 0
6
1 1
1 1
9
60
4
4
4
1 2
6
1 1
1 1
1 1
70
4
1 0
6
1 3
8
1 2
1 2
1 2
80
9
10
6
1 5
1 0
12
1 3
1 4
90
9
1 1
3 0
2 1
1 1
2 4
1 4
2 2
-------
TABLE 19. POTASSIUM—URBAN AND SUBURBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10"'
195
STATION LOCATION
NEW YORK N Y
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 UU M
KASHINGTON DC
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
CHICAGO ILL
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MUM
DETROIT MICH
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
CINCINNATI OHIO
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MU M
ANCHORAGE ALASKA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MU M
LOS ANGELES CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
PASADENA CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
BERKELEY CALIF
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MU M
SAN JOSE CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
PORTLAND OREGON
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M II M
SUBURBAN
HAMILTON COUNTY OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
54 55
54 55
54 55
53 54
54 55
54 55
54
54 55
54 55
54 55
54
54 55
JAN
2
3 2
1 8
4
S
3 5
3 2
2 9
1
1 7
1 7
1 7
1
9
9
9
2
1 3
1 1
10
3
3 5
1 7
7
3
18
1 5
1 3
FEB
3
2 1
1 4
9
3
37
2 2
2 0
4
4 4
2 9
5
2
2 2
2 1
2 0
6
2 8
15
3
1
50
5 0
5 0
1
7
7
7
3
3 1
2 3
1 7
5
2 5
1 3
5
4
2 0
1 6
1 1
2
26
1 8
1 1
1
9
9
9
MAR
4
2 9
1 2
2
3
2 6
2 4
2 3
4 4
6 9
2 2
4
4
2 8
1 2
1
1
2
2
2
2
2 5
1 6
7
6
8
1
4
3 4
1 7
1
APR
4
15
8
1
2
4
4 6
3 1
14
18
68
22
5
5
400
9 6
7
4
4 0
27
10
1
2
6
3
1
2
16
e
3
4
1
2
1 3
1 1
9
MAY
4
2 8
1 0
3
2 0
8
4
1 4
8
2
2
1 5
1 0
5
1 7
30
1 6
3
4
3 2
1 0
6
1 8
7
2
2
6
5
4
2
2
1
1
2
7
4
1
3
1 7
1 0
a
S
1 6
7
2
JUNE
3
59
37
2 3
4
1 6
9
5
9
4 1
1 6
1
7 1
7 1
7 1
1 7
32
18
3
3
1 9
1 2
4
2
22
1 5
9
3
20
16
15
2
14
1 1
8
2
20
1 4
8
3
2 3
1 9
1 4
JULY
3
3 9
3 7
3 4
3
3 4
2 4
1 9
5
4 8
3 6
1 7
6
25
1 5
8
1
1 8
1 8
18
2
3 0
2 8
2 7
4
3 1
2 8
2 2
3
26
1 6
1 0
2
21
1 1
1
4
2 8
1 6
1 1
AUG
1
39
3 9
39
4
2 3
1 8
1 4
3
5 1
3 1
1 8
6
17
1 4
8
2
9
4
2
2 5
2 3
S 2
2
14
1 1
8
2
2 1
1 8
16
4
1 5
1 1
9
SEPT
4
2 9
1 9
1 1
4
3 2
1 8
6
4
37
3 4
2 8
1 0
2 5
1 7
1 0
3
9
3
2
3 4
3 1
2 8
3
1 6
1 5
1 5
4
2 1
1 4
2
4
1 7
1 1
7
OCT
3
4 2
36
28
2
1 8
1 6
1 5
6
6 3
47
3 2
5
3 3
1 3
4
2
7
3
4
52
39
2 2
4
1 6
1 1
9
3
19
19
1 9
2 0
2 5
1 6
1 0
i,
1 1
8
6
NOV
3
33
26
22
3
5 5
4 1
25
17
6 1
26
1
38
38
38
5
32
1 6
7
5
1 9
12
2
20
36
22
1 1
3
12
9
8
DEC
2
35
2 7
1 9
3
86
5 9
28
4
20
1 4
1 1
2
1 2
9
7
4
24
1 4
9
3
2 0
1 5
9
2
8
7
7
-------
196
TABLE 20. SODIUM—URBAN STATIONS
STATION LOCATION
NEW YORK N Y
PHILADELPHIA PA
WASHINGTON DC
LOUISVILLE KY
CHARLESTON w VA
TAMPA FLA
ATLANTA GA
CHICAGO ILL
DETROIT MICH
CINCINNATI OHIO
MINNEAPOLIS MINN
KANSAS CITY MO
NEW ORLEANS LA
FT WORTH TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
SALT LAKE CITY UTAH
ANCHORAGE ALASKA
LOS ANGELES CALIF
PASADENA CALIF
BERKELEY CALIF
SAN JOSE CALIF
PORTLAND OREGON
SITE
1
1
1
1
2
3
1
1
1
1
1
1
2
3
4
1
1
1
1
2
1
1
1
1
1
2
4
5
YEARS
54 55
54
54 55
5 4
5 4
5 4
S 4
5 4
54 55
5 4
54 55
5 3
5 4
53 54
5 4
5 )
54 55
5 4
5 4
5 4
54
5 L,
54 55
5 4
5 4
54
54
C X
o -^
5 4
5 4
5 4
54 55
54
54 55
54 55
54 55
5 4
5 4
5 4
5 4
5 4
No. OF
SAMPLES
3 5
1 0
2 8
6
7
8
8
3
3 5
3
4 1
2 1
1 1
3 2
6 0
4
6 4
1 4
1 3
2 0
107
4
111
1 4
1 1
4
5
2
1 7
2
5
2 7
1 9
2 8
3 5
3 4
1 9
1 0
1 5
1 0
5 4
(MICROGRAMS PER CUBIC METER) x 10°
MIN
1
1 0
2
2
1 9
1
1 9
1
5
1 2
1 9
MAX
109
5 2
2 6
1 4
6 5
3 5
2 5
1 1
119
119
6 7
172
172
5 5
3 7
5 5
1 7
1 9
5 6
5 6
3 7
5 6
2 3
8
1 3
8
9 9
1 6
2 6
275
125
7 7
110
7 0
3 3
37
178
5 5
178
AVG
2 4
1 4
6
6
2 2
1 3
1 0
5
3 4
2 9
3 3
7 7
4 8
4
2 6
5
6
8
1 7
7
2 6
8
4
2
4
2
2 4
8
5
1 7
4 2
3 2
3 3
2 2
1 4
2 9
2 5
3 0
2 3
FREQUENCY DISTRIBUTION— PERCENT
10
1
1
1
1
1
1
1
1
1 3
2
10
2
1
1 0
1
1 0
3
1
1 3
1
19
1
20
5
1
1
1
1
1
1
1 5
1
1 6
10
16
1 9
1
1
8
1 9
1
5
1
1 4
1 1
1 3
8
6
2 3
1
2 4
7
30
1 1
7
1
1
1
1
1
1
2 3
1 1
1 7
3 2
1 9
1
1 9
1
1
1
1 2
1
1 9
1
1
1
1
7
1
1
2
2 0
1 5
i a
1 3
9
a 6
7
S 5
1 2
40
1 8
1 0
1
1
19
4
4
1
28
19
1 9
4 4
30
1
23
1
1
5
1 3
1
23
1
1
1
1
1
1 1
1
1
4
2 6
2 0
2 2
1 6
1 1
2 9
7
2 6
1 6
50
2 4
1 3
1
3
2 1
C
8
5
3 3
1
2 9
3 1
9 1
3 6
1
2 3
1
4
8
1 6
4
2 3
4
1
1
1
1
1 9
1
1
5
3 4
2 9
2 6
1 9
1 3
3 2
1 4
2 9
1 9
60
2 5
1 4
4
7
2 1
6
9
5
3 6
1
3 4
3 6
101
4 4
2
2 3
3
8
8
1 7
7
2 3
7
1
4
1
1
2 0
1
1
7
3 6
36
3 6
2 1
1 4
3 3
1 8
3 1
2 5
70
2 8
1 5
7
7
2 6
2 3
1 7
5
4 5
1
4 2
4 4
107
5 9
4
2 6
6
1 1
1 2
1 9
1 0
2 6
1 1
3
4
2
4
2 1
1
1
1 1
5 4
4 7
4 4
2 9
1 6
3 5
28
3 2
3 0
80
3 2
1 5
1 5
1 3
S 9
2 3
17
5
4 8
1
4 7
5 7
112
7 4
7
26
9
1 3
1 3
3 3
1 3
8 6
15
1 1
6
2
4
3 6
1 7
1
1 4
7 1
4 9
5 2
32
1 9
3 6
2 9
3 4
32
90
5 4
1 9
2 0
1 3
2 9
3 4
2 3
1 1
60
1
5 4
6 0
138
107
1 0
4 0
1 7
1 4
1 8
2 6
1 8
4 0
1 9
1 7
8
1 3
8
4 9
1 7
2 6
1 9
8 2
6 4
7 2
4 6
3 1
3 8
4 9
3 6
3 6
-------
TABLE 20. SODIUM—URBAN STATIONS—TOTALS
197
STATE OR REGION
NEW JERSEY TOTAL
NEW YORK TOTAL
PENNSYLVANIA TOTAL
DIS COLUMBIA TOTAL
KENTUCKY TOTAL
iVEST VIRGINA TOTAL
FLORIDA TOTAL
GEOR'GIA TOTAL
ILLINOIS TOTAL
MICHIGAN TOTAL
OHIO TOTAL
MINNESOTA TOTAL
MISSOURI TOTAL
LOUISIANA TOTAL
TEXAS TOTAL
UTAH TOTAL
ALASKA TOTAL
CALIFORNIA TOTAL
OREGON TOTAL
MID ATLNTC TOTAL
MID EAST TOTAL
SOUTH EAST TOTAL
MID WEST TOTAL
GRT PLAINS TOTAL
GULF SOUTH TOTAL
ROCKY y N T N TOTAL
PAC COAST TOTAL
GRAND TOTAL
YEARS
5 5
54 55
54
54 55
5 4
5 4
5 4
5 4
54 55
53 54
54 55
5 4
5 4
5 4
5 4
5 4
54 55
54 55
5 4
54 55
54 55
5 4
53 55
54
5 4
5 4
54 55
53 55
No. OF
SAMPLES
1 0
3 5
1 0
2 8
6
7
8
8
4 1
3 6
111
1 4
1 1
4
2 6
5
2 7
117
5 4
5 5
4 1
1 6
1 8 b
2 5
3 0
8
198
561
(MICROGRAMS PER CUBIC METER) x 10'
MIN
0
MAX
5 1
109
5 2
2 6
1 4
6 5
3 5
2 5
119
172
5 6
2 3
8
1 3
9 9
2 6
275
125
178
109
6 5
3 5
172
2 3
9 9
2 6
275
275
AVG
1 7
2 4
1 4
6
6
2 2
1 3
1 0
2 9
4 3
8
4
2
4
1 6
5
1 7
3 1
2 3
2 1
8
1 1
1 9
3
1 5
3
2 7
2 0
FREQUENCY DISTRIBUTION — PERCENT
10
6
1
1
1
1
1
1
1
1
7
1
1
1
2
1
20
6
C
1
1
1
1
1
1
1 0
1
1
1
1 1
7
6
1
1
1
7
1
30
7
1 1
7
1
1
1
1
1
1 1
1 6
1
1
1
1
1
Z
1 5
1 2
1 0
1
4
1
1
1
1 1
7
40
7
i a
1 0
i
i
1 9
4
4
1 9
1 9
1
1
1
1
5
1
4
2 0
1 6
1 3
1
4
6
1
4
1 6
1 1
50
1 4
2 4
1 3
1
-J
2 1
5
8
2 9
3 1
4
1
1
1
8
1
5
2 5
1 9
1 8
3
6
1 1
1
7
1
2 0
1 6
60
1 7
2 5
1 4
£
7
2 1
6
9
3 4
4 3
7
1
4
1
1 6
1
7
3 2
2 5
2 2
7
9
1 5
1
1 1
1
2 6
2 0
70
2 :
2 e
1 5
7
7
2 6
2 3
1 7
4 2
5 7
1 1
3
/
2
1 9
1
1 1
3 9
3 0
2 5
1 4
1 7
2 1
4
1 7
1
3 2
2 7
80
2 2
3 2
1 5
1 5
1 3
2 9
2 3
1 7
4 7
6 7
1 5
1 1
6
2
2 1
1
1 4
4 9
32
2 9
1 9
2 3
3 3
8
2 0
1
3 9
3 5
90
8 3
5 4
1 9
2 0
1 3
2 9
3 4
2 3
5 4
101
1 9
1 7
8
1 3
3 6
2 6
1 9
b 7
3 6
5 1
2 3
2 6
5 4
1 1
3 6
1
5 7
5 3
-------
198
TABLE 20. SODIUM—SUBURBAN STATIONS
STATION LOCATION
KANAWHA CO W VA
FULTON CO. GEORGIA
HAMILTON COUNTY OHIO
SALT LAKE CO UTAH
MULTNOMAH CNTY ORE
GRAND TOTAL
SITE
1
1
1
1
1
YEARS
5 4
5 4
54 55
5 4
54
54 55
No. OF
SAMPLES
6
4
3 0
5
1 S
6 9
(MICROGRAMS PER CUBIC METER) x la1
MIN
MAX
5
2 6
1 8
1 0
2 4
3 8
AVG
3
1 5
4
2
1 2
6
FMOUENCY DISTRIBUTION— PSCENT
10
1
1
20
1
1
1
2
1
30
1
1
1
1
7
1
40
1
1 5
2
1
7
1
50
4
1 5
3
1
9
3
60
4
1 5
4
1
1 4
5
70
4
2 1
6
1
1 8
8
80
5
21
8
1
20
14
90
5
3 6
1 0
1 0
2 1
1 9
-------
TABLE 20. SODIUM—URBAN AND SUBURBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10-
199
STATION LOCATION
NEW YORK N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
WASHINGTON DC
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHICAGO ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DETROIT MICH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CINCINNATI OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HOUSTON TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ANCHORAGE ALASKA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LOS ANGELES CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PASADENA CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BERKELEY CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
SAN JOSE CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
PORTLAND OREGON
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U U
SUBURBAN
HAMILTON COUNTY OHIO
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
YEARS
54 55
54 55
54 55
53 54
54 55
54
54 55
54
54 55
54 55
54 55
54
54 55
JAN
3
2 5
1 4
5
2
4 5
3 7
2 9
1
2 6
2 6
2 6
1
6 7
6 7
6 7
1
1 1
1 1
11
2
2 0
1 0
3
1 3
5
3
9
7
5
FEB
3
5 2
3 6
2 4
4
2 6
2 2
1 9
4
5 1
4 1
3 2
2
129
119
109
5
3 7
1 8
1
2
19
1 8
1 7
2
5
4
4
1
3 2
3 2
3 2
4
2 0
1 5
1 2
5
2 3
1 9
1 5
4
1 9
1 4
7
2
3 1
2 1
1 2
1
1 0
1 0
1 0
MAR
2
57
3 2
8
1
8
8
8
3
172
lie
9 1
3 4
56
1 2
2
9 9
6 7
3 6
2
1 7
9
2
4
8 5
57
3 5
2
3 3
2 1
9
2
3 2
2 3
2 5
6
1 6
5
3
8
4
1
APR
4
4 3
24
1 1
3
7
4
4
102
4 6
10
14
3 3
9
1
2 1
2 1
2 1
5
275
68
2
4
55
3 0
13
3
28
12
2
29
2 3
18
2
40
36
32
3
14
8
1
1
1 7
1 7
1 7
MAY
4
2 9
8
3
2
5
2
1
2
2
2
8
1 4
4
3
2 1
9
4
2 6
1 1
6
2 5
1 5
5
2
2 0
1 0
1
2
7 4
6 6
5 9
2
4 9
4 2
3 5
3
9
5
1
JUNE
3
6 5
25
4
3
9
1 9
5
1
69
6 9
6 9
17
16
2
8
4 7
1 5
1
3
10
5
2
6 9
6 1
5 3
3
4 6
29
1 1
2
7 1
5 4
3 8
2
7 0
3 5
1
3
1 8
6
JULY
3
3 1
2 3
18
3
2 0
7
5
3 6
1 6
6
2
1
1 3
1 3
1 3
2
125
103
8 1
4
7 7
S 8
4 6
3
7 7
5 5
1 6
2
2 8
27
2 6
4
1 3
3
AUG
1
2 9
2 9
2 9
4
1
3
7 6
3 4
6
7
2
2
5
2
2
56
4 5
3 5
2
5 2
4 5
39
2
4 7
39
3 2
4
1 0
5
SEPT
4
3 4
2 8
2 5
4
1 5
8
4
4 7
3 6
2 7
1 0
1 4
6
3
2
6 5
4 6
2 8
3
4 8
4 1
3 1
4
4 0
2 5
1 9
4
4
3
2
OCT
3
3 0
1 7
4
2
5
2
6
86
4 6
2 5
5
1 2
3
2
4
2
4
6 2
54
4 5
4
50
37
2 5
3
4 8
27
1 6
20
55
3 0
1 2
4
4
3
2
NOV
3
25
8
3
57
36
19
21
6 7
33
10
1
25
25
25
5
110
4 1
10
5
26
16
8
20
178
2 6
3
3
7
3
2
DEC
2
109
6 1
1 4
3
119
7 1
4 4
4
5 5
1 4
2
9
7
5
4
20
1 1
3
3
1 0
4
3
9
4
-------
200
TABLE 21. STRONTIUM—URBAN STATIONS
STATION LOCATION
NEW YORK N Y
PHILADELPHIA PA
WASHINGTON DC
LOUISVILLE KY
CHARLESTON W V A
TAMPA FLA
ATLANTA GA
CHICAGO ILL
DETROIT MICH
CINCINNATI OHIO
MINNEAPOLIS MINN
KANSAS CITY WO
NEW ORLEANS LA
FT WORTH TEXAS
LAKEHORTH TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
DENVER COL
SALT LAKE CITY UTAH
LOS ANGELES CALIF
PASADENA CALIF
BERKELEY CALIF
SAN JOSE CALIF
PORTLAND OREGON
SITE
1
1
1
1
2
3
1
1
1
1
1
1
2
4
5
1
1
1
1
1
1
2
•1
1
1
1
1
2
4
5
YEARS
54 55
5 4
54 55
5 4
5 4
5 4
5 4
54
54 55
54
54 55
S 3
5 4
53 54
5 4
5 5
54 55
5 4
5 4
5 4
5 4
5 b
54 55
5 4
5 4
54
5 4
5 4
5 4
5 4
54
5 4
54 55
54
54 55
54 55
54 55
5 4
5 4
5 4
5 4
5 4
No. OF
SAMPLES
3 4
1 0
2 9
5
6
7
5
3
3 5
3
4 1
2 0
9
2 9
6 9
4
7 3
1 3
1 3
1 7
112
4
116
1 5
1 1
4
6
2
1 7
4
3
5
3 5
1 7
2 8
3 3
3 3
1 9
1 5
1 0
1 0
5 4
(MICROGRAMS PER CUBIC METER) x 10-'
MIN
3
5
1
4
1
5
5
2
1 0
1
1
MAX
4 3
4 9
6 1
3 6
1 1
1 4
8
1 3
1 1
1 3
5 7
3 1
5 7
3 0
1 9
3 0
2 4
2 3
3 4
3 4
1 9
3 4
1 8
5 0
2 2
5
5 9
4 5
4
2 2
6 4
108
6 1
1 6
1 6
20
5
9
7
2 0
AVG
6
1 1
1 2
1 3
6
6
6
3
6
3
3 3
1 7
2 8
2
1 1
2
8
1 0
1 2
S
1 1
5
4
1 8
5
3
2 4
2 9
2
4
2 3
1 9
1 2
2
2
2
6
2
2
FREQUENCY DISTRIBUTION— PERCENT
10
3
1
1
3
1 3
4
1 1
1
1
2
1
3
1
20
1
4
1
1
3
5
1
2 4
11
13
5
1
1
2
5
1
5
10
1
1
4
3
1
30
1
1
5
1
3
3
5
1
1
1
28
1 3
18
5
1
6
5
1
5
1
1
2
1
2
1 0
1 0
1
1
7
5
1
1
5
1
4O
1
1
7
1
5
3
5
1
1
1
2 9
13
27
1
9
1
2
9
6
1
9
1
1
3
1
1
2
1 1
30
1
1
2 0
6
1
1
1
1
6
2
1
50
2
4
1 0
5
7
4
7
1
8
2
3 2
1 6
2 9
1
9
1
1 1
1 2
1 1
1
9
1
1
2 1
1
1
2
2 9
3 0
3
1
2 3
8
1
1
1
1
1
6
2
1
60
4
5
1 1
6
7
4
7
2
8
4
35
1 6
30
1
9
1
1 2
1 2
1 3
3
9
5
2
22
1
5
2
3 0
3 0
3
1
2 5
1 7
8
1
2
1
1
6
3
1
70
6
8
1 3
6
8
7
7
5
8
6
4 1
1 8
3 3
1
1 1
1
1 2
1 6
1 4
8
1 1
9
5
2 4
1
5
2
3 2
37
3
1
3 3
2 0
1 8
2
2
1
1
7
3
3
80
9
20
16
33
10
7
7
6
8
8
4 3
2 2
4 1
3
1 1
5
1 3
17
22
12
11
12
6
27
1
7
5
3 3
37
3
1
3 9
35
20
3
3
1
1
8
4
5
90
1 8
3 3
2 0
3 3
1 0
1 4
8
1 0
1 1
1 0
4 S
27
4 4
8
2 0
1 1
1 4
1 8
2 4
1 6
2 0
1 6
1 6
4 8
1
7
5
50
4 5
4
2 2
5 0
37
30
5
5
9
4
8
4
8
-------
TABLE 21. STRONTIUM—URBAN STATIONS—TOTALS
201
STATE OR REGION
NEW JERSEY TOTAL
NEW YORK TOTAL
PENNSYLVANIA TOTAL
OIS COLUMBIA TOTAL
KENTUCKY TOTAL
#EST VIRGINA TOTAL
FLORIDA TOTAL
GEORGIA TOTAL
ILLINOIS TOTAL
MICHIGAN TOTAL
OHIO TOTAL
MINNESOTA TOTAL
MISSOURI TOTAL
LOUISIANA TOTAL
TEXAS TOTAL
COLORADO TOTAL
UTAH TOTAL
ALASKA TOTAL
CALIFORNIA TOTAL
OREGON TOTAL
MID ATLNTC TOTAL
MID EAST TOTAL
SOUTH EAST TOTAL
MID WEST TOTAL
GRT PLAINS TOTAL
GULF SOUTH TOTAL
ROCKY MNT" TOTAL
PAC COAST TOTAL
GRAND TOTAL
YEARS
5 5
54 55
5 4
54 55
5 4
5 4
5 4
5 4
54 55
53 54
54 55
5 4
54
54
54
5 4
5 4
54 55
54 55
5 4
54 55
54 55
5 4
53 55
5 4
54
5 4
54 55
53 55
No. OF
SAMPLES
1 0
3 4
1 0
2 9
5
6
7
5
4 i
3 3
116
1 5
1 1
4
2 9
3
5
2 5
112
5 4
5 4
4 0
1 2
190
2 6
3 3
8
191
554
(MICROGRAMS PER CUBIC METER) x 1Q-1
MIN
3
1
1
MAX
1 1
4 3
4 9
6 1
3 6
1 1
1 4
1 3
5 7
3 4
1 8
5 0
5 9
4
2 2
6 4
108
2 0
4 9
6 1
1 4
5 7
5 0
5 9
3 2
108
108
AVG
4
6
1 1
1 2
1 3
6
6
3
2 5
5
4
1 8
1 9
2
2 3
7
3
7
1 0
6
8
1 0
1 7
3
8
8
FREQUENCY DISTRIBUTION— PERCENT
10
3
1
1
3
3
1
1
1
1
1
20
1
1
4
1
1
3
1 1
1
2
1
1
1
2
1
1
30
1
1
1
5
1
3
3
1
1 3
1
1
2
5
1
1
7
1
1
4
3
1
1
2
1
1
40
3
1
1
7
1
5
3
1
18
1
1
3
1
9
1
2 0
1
1
1
5
4
1
1
5
1
1
1
50
3
2
4
1 0
1
5
7
4
2
2 8
1
1
2 1
1
1 1
3
2 3
1
1
3
6
5
3
3
1 0
1
1
3
60
4
4
5
1 1
1
6
7
4
4
2 9
5
2
2 3
1
2 7
3
2 5
3
1
4
1 0
7
6
6
2 2
1
3
5
70
4
6
8
1 3
1
6
8
7
6
3 2
9
5
2 4
1
3 0
3
3 3
4
3
6
1 2
7
1 1
1 3
2 9
3
5
9
80
7
9
20
1 6
1
3 3
10
7
8
3 7
1 3
6
27
1
32
3
3 9
8
5
10
1 6
1 0
1 4
2 1
32
3
1 5
15
90
1 1
1 8
3 3
2 0
1
3 3
1 0
1 4
1 0
i 4
1 6
1 6
4 8
1
4 5
4
2ri
d
5 0
2 0
8
2 0
2 7
1 1
2 7
2 4
4 5
4
2 5
2 8
-------
202
TABLE 21. STRONTIUM—SUBURBAN STATIONS
STATION LOCATION
LAKEHURST N J
KANAWHA CO W VA
HILLSBOROUGH CO FLA
FULTON CO GEORGIA
HAMILTON COUNTY OHIO
TONKA B A V MINN
SALT LAKE CO UTAH
MULTNOMAH CNTY ORE
GRAND TOTAL
SITE
1
1
1
1
1
1
1
1
1
1
YEARS
5 5
5 4
5 4
5 4
5 4
5 0
54 55
5 4
54
5 4
54 55
No. OF
SAMPLES
2
4
3
3
2 9
1
3 0
8
5
1 2
6 6
(MICROGRAMS PER CUBIC METER) x la'
MIN
1
3
4
1
MAX
1
1 0
7
1 4
1 6
1
1 6
3 9
2
3 9
AVG
1
3
4
9
1
1
1
8
3
FREQUENCY DISTRIBUTION— PERCENT
10
20
1
4
30
1
1
3
4
1
40
1
•1
2
4
1
1
1
50
1
1
2
1 0
1
1
1
1
1
1
1
60
1
1
3
1 0
1
1
1
1
1
1
1
70
1
4
2
1 0
1
1
1
1
1 3
1
1
80
1
4
7
1 0
1
1
1
1
12
1
2
90
1
1 0
7
1 4
4
1
4
1 •
30
1
7
-------
TABLE 21. STRONTIUM—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) * 10'
203
STATION LOCATION
N E » YORK N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
WASHINGTON OC
NUMBER OF SAMPLES
MAX I MUM
AVERAGE
Ml N 1 M U M
CHICAGO ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DETROIT MICH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CINCINNATI OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HOUSTON TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ANCHORAGE ALASKA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LOS ANGELES CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PASADENA CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BERKELEY CALIF
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
SAN JOSE CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
54 55
54 55
54 55
53 54
54 55
54
54 55
54
54 55
54 55
54 55
JAN
3
3 9
1 3
2
1 0
6
3
1
1 9
1 9
1 9
1
4 6
46
4 6
1
1
1
1
2
3
3
FEB
3
1 6
7
4
2C
.J
8
2
4
9
5
2
1 8
1 5
1 3
5
1 1
6
2
32
3 0
29
3
5 3
31
1
4 0
4 0
4 0
4
1 4
4
4
1 6
4
4
MAR
3
4 3
2 9
1 8
1
3-1
J.
3 1
3 1
3
1 6
1 3
1 1
4 4
34
1 2
3
5 9
48
3 1
2
50
4 7
4 4
4
108
4 8
1 7
2
3 8
3 3
2 9
2
3
2
1
APR
2
4
2 0
4
2
27
15
4
9
30
5
4
7
3
3
6
6
6
3
6 1
48
27
1
1
MAY
4
3
7
4
2
9
8
8
1
2 1
2 1
2 1
8
a
i
3
3 2
3 0
2 8
2
3 5
3 0
2 6
5
8
4
2
8
5
2
2
4
2
2
5
2
JUNE
3
6
3
4
7
4
9
1 3
6
1
3 1
3 1
3 1
17
6
1
8
27
8
3
6 4
4 1
22
2
i a
1 1
4
3
3
16
8
2
4
2
1
JULY
3
6
2
3
9
6
5
4
6
1
3 1
3 1
3 1
2
2 2
2 1
2 0
4
25
1 9
1 5
3
4
2
1
2
3
2
2
AUG
1
5
5
5
4
1 7
9
3
6
2
2 4
2 3
2 3
2
1 9
9
2
4
2
2
3
1
SEPT
4
1 0
7
4
1 9
1 5
8
4
2
1 0
3
21
1 9
1 8
2
3
5
4
3
4
1 6
5
OCT
3
1 0
5
2
2
1 4
1 4
1 4
6
5
2
1
5
2
26
2 5
2 5
4
2
1
4
5
2
3
5
4
3
NOV
3
4
2
3
6
4
2
20
57
33
1
i
5
1
5
5
2
DEC
2
3
1 2
6
2
4
2
4
3
-------
204
TABLE 22. TIN—URBAN STATIONS
STATION LOCATION
WATERBURY CONN
BOSTON MASS
EVERETT MASS
ELIZABETH N J
PAULSBORO N J
CAMOEN N J
PERTH AMBOY N J
TRENTON N J
JERSEY CITY N J
NEW YORK N Y
PHILADELPHIA PA
ALTOONA PA
BRISTOL PA
CHESTER PA
ERIE PA
PITTSBURGH PA
WILLIAMSPORT PA
WASHINGTON OC
LOUISVILLE KY
BALTIMORE MD
CHARLESTON * VA
TAMPA FLA
ATLANTA GA
CHATTANOOGA TENN
SITE
1
1
1
1
1
1
1
1
1
1
1
2
3
1
1
1
1
3
4
5
6
7
1
1
1
1
1
1
1
2
1
1
1
2
2
2
3
1
4
1
1
3
4
YEARS
5 5
5 6
55 56
5 5
5 5
55 56
55 56
55 56
55 56
55 56
55 56
54 56
54 55
54 56
5 4
5 5
56
54 56
54
56
5 6
56
56
54
5 5
56
54 56
56
55 56
55 56
56
56
55 56
54
55 56
54 56
54
5 5
54 55
54
5 5
54 55
5 4
54
55
54 55
5 7
54
5 S
54 55
54 55
54 56
55
55 56
55 56
No. OF
SAMPLES
1 4
2 2
3 6
2 3
3 6
2 1
2 5
2 1
2 3
1 7
2 3
5 0
2 5
7 6
6
9 4
1 1
111
4
1 1
9
1 1
1 1
1 0
9 4
5 3
157
1 3
1 8
1 8
2 5
2 1
23
2 6
2 0
46
2 2
2 1
4 3
1 3
1 0
2 3
5
4 0
3 1
7 1
1 8
1 1
1 6
2 7
3 1
2 6
1 4
1 8
3 2
(MICROGRAMS PER CUBIC METER) x I a1
MIN
5
3
MAX
4 0
1 0
4 0
3 0
100
3
3
1 1
1 8
2
2 2
340
1 7
340
8 4
9 9
1 8
9 9
4 8
510
2 0
130
6 7
8 4
9 9
510
510
6
2 3
2 3
2 0
8 0
1 0
16
3 0
3 0
2 9
2 0
2 9
3 0
3 0
3 0
5 0
5 0
30
5 0
1 0
3
100
100
9
100
2 5
30
3 0
AVG
1 0
3
5
2
2 1
1
2
3
1 7
3
1 2
1 7
8
7
8
1 2
6 2
5
1 6
9
1 5
8
2 0
1 3
3
4
3
1 3
2
3
5
4
1 0
6
8
9
8
9
1 0
1 0
7
8
C
6
4
1
1 5
6
6
6
FREQUENCY DISTRIBUTION— PERCENT
10
1
1
1
1
1
1
4
1
1
1
20
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
3
1
1
5
1
4
2
1
1
1
1
1
1
X
1
1
1
1
2
1
2
1
3
4
3
5
1
1
1
1
3
1
1
1
1
3
1
1
1
1
6
1
5
5
1
5
1
5
1
4
1
1
2
2
40
6
1
1
1
1
1
1
•1
J.
3
1
2
1
4
5
4
1
5
1
1
1
1
4
5
4
1
1
1
4
1
1
1
1
6
1
5
5
1
5
1
5
1
5
1
1
3
3
3
3
50
7
1
3
1
5
1
1
1
7
2
3
1
5
6
5
1
1 0
5
6
6
1
5
6
5
1
1
1
1
5
1
1
2
1
7
6
6
8
7
8
1
7
6
6
1
1
1
1
6
4
5
4
60
8
3
6
1
9
1
1
1
9
3
6
7
6
8
6
1
1 0
5
7
6
1
6
7
6
1
1
3
3
7
3
3
5
3
1 0
6
9
8
9
9
1
9
7
8
5
1
1
1
1
8
4
6
5
70
1 0
4
7
1
1 0
1
1
1
16
4
9
7
8
9
9
1
2 5
6
7
7
7
8
8
8
1
4
5
4
2 0
4
4
6
5
1 3
1 0
1 2
9
9
9
2
1 0
1 0
1 0
5
1
1
1
1
1 0
8
8
7
80
20
7
9
1
22
1
1
2
21
6
16
10
1 3
1 4
1 4
1
5 9
6
1 5
9
10
1 3
1 4
1 4
1
4
7
5
22
4
6
9
6
20
1 2
1 4
10
1 7
1 0
2
20
1 3
1 5
6
3
1
1
3
2 2
1 0
8
10
90
2 3
9
1 0
7
100
2
2
8
37
8
3 4
1 0
2 0
1 5
1 9
52
67
8
1 7
9
52
2 0
2 5
2 1
4
8
1 2
8
3 1
7
6
1 0
9
2 1
1 5
2 1
2 2
1 9
2 2
5 2
2 2
1 9
2 1
7
2
1
2
4
4 1
1 9
10
1 9
-------
TABLE 22. TIN—URBAN STATIONS
205
STATION LOCATION
CHICAGO ILL
EAST ST LOUIS ILL
EAST CHICAGO 1 N D
DETROIT MICH
CINCINNATI OHIO
YOUNGSTOWN OHIO
MILWAUKEE W 1 S
MINNEAPOLIS MINN
KANSAS CITY MO
ST LOUIS MO
NEW ORLEANS LA
FT WORTH TEXAS
LAKEWORTH TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
DENVER COL
SALT LAKE CITY UTAH
ANCHORAGE ALASKA
LOS ANGELES CALIF
SAN FRANCISCO CALIF
SITE
1
1
1
2
2
2
3
4
1
2
i
3
3
4
1
1
1
1
2
4
5
1
1
1
2
3
4
1
1
2
1
1
1
1
1
1
1
1
1
3
3
1
1
YEARS
5 4
5 S
54 55
5 M
5 b
54 55
5 4
5 5
5 i
5 S
54 55
55 56
55 56
5 S 56
55 56
55 56
55 56
55 56
5 b 56
53 54
54
5 b
54 55
54
5 4
54
5 4
55
54 55
5 7
57
54 55
54 56
54
55 56
5i 56
55 56
54 55
54 55
54 55
54 55
5 4
5 4
5 5
54 55
5 4
5 5
54 55
54 55
54
54 55
54 55
54 55
54
55 56
No. OF
SAMPLES
4
2 8
3 2
3 0
2 6
5 6
3
3 9
3 7
8 3
120
1 5
1 4
2 9
1 9
2 6
2 1
2 0
8 6
3 2
7 3
2 7
100
2 0
2 3
2 8
143
2 7
170
1 2
1 9
3 6
2 5
6
9
4 0
2 3
2 6
3 4
5 0
3 2
6
3 6
5 6
8 3
2 1
1 4
3 5
3 3
3
2 6
3 1
4 2
1 9
3 2
(MICROGRAMS PER CUBIC METER) x 10°
MIN
1
4
3
2
MAX
3
100
100
4 0
100
100
1
100
4 0
100
100
4 0
1 0
4 0
200
6 0
2 0
8 0
200
8 0
115
120
120
4 3
1 3
2 6
115
130
130
1 0
1 1
3 0
6 0
6 0
8 0
1 0
4
1 0
1 0
3
3 5
9 0
9 0
2 0
1 0
2 0
S 0
3
5 0
7 0
7
1 7
6 0
AVG
1
1 6
1 4
8
1 8
1 3
2 2
7
1 9
1 5
1 1
2
7
2 4
2 2
1 0
1 7
1 8
4
7
3 1
1 4
5
1
2
5
3 1
9
6
6
3
4
2
1 5
1
1
1
4
1 2
1 0
5
1
3
1 S
2
1 3
1 0
1
2
3
FREQUENCY DISTRIBUTION— PERCENT
10
1
1
3
4
3
1
1
1
1
4
3
5
1
1
1
1
4
3
1
1
2
20
5
1
4
6
4
5
1
6
4
4
1
4
7
3
1
4
1
1
1
1
4
4
6
1
1
1
9
2
3
1
30
8
5
4
8
6
7
3
7
5
5
1
3
5
9
4
3
5
1
1
5
1
1
1
5
1
5
4
7
1
1
1
1
3
1
9
2
9
3
40
1
9
a
5
9
7
9
4
9
7
5
1
4
7
1 0
5
4
7
1
2
9
3
1
1
1
1
9
1
5
5
1
1
8
1
1
1
1
2
1
4
1
1
1 0
2
9
5
1
1
1
50
1
9
9
6
1 0
9
1
1 0
5
1 0
9
8
1
4
1 0
2 0
8
5
1 0
1
3
3 1
4
2
1
1
1
2 1
3
6
5
1
1
1
1
1
9
1
1
1
1
1
1
5
3
4
1
3
1 0
3
1 0
6
1
1
1
60
1
1 0
1 0
7
1 5
1 0
1
3 1
6
1 9
1 0
9
3
5
30
2 2
1 0
9
3 0
2
4
2 8
5
3
1
1
3
3 8
3
6
6
1
1
1
1
1
1 0
1
1
1
1
1
3
7
5
5
1
4
30
3
1 9
8
1
1
1
70
1
3 0
1 9
9
2 0
1 0
1
3 0
8
3 1
1 9
1 0
4
8
3 1
3 0
1 9
3 0
3 1
3
S
4 4
8
3
1
2
3
4 4
5
6
7
1
1
1
1
1
1 0
2
1
2
1
1
4
1 0
8
5
3
5
2 0
3
2 0
9
1
1
1
80
1
3 1
21
1 0
33
20
1
33
1 0
35
2 1
2 1
4
9
2 9
3 8
2 0
22
3 9
5
6
67
2 1
4
2
3
5
6 7
9
7
8
5
4
1
1
1
2 1
3
3
3
1
1
5
21
1 5
9
3
5
2 1
3
31
30
3
6
1
90
3
2 2
2 3
1 7
2 5
3 3
1
5 2
1 5
4 1
3 3
3 2
9
2 1
3 3
4 1
3 1
6 7
3 9
8
1 7
7 6
4 6
6
3
4
1 0
7 6
3 9
9
9
9
7
1
1
5
3 9
5
3
4
4
1
9
4 1
3 2
1 0
5
1 0
2 2
3
2 3
2 1
5
8
3
-------
206
TABLE 22. TIN—URBAN STATIONS
STATION LOCATION
PASADENA CALIF
BERKELEY CALIF
SAN JOSE CALIF
SAN LEANORO CALIF
PORTLAND OREGON
SEATTLE WASH
SITE
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
5
4
1
YEARS
54
5 5
56
54 56
54 55
5 4
5 5
56
54 56
55
56
55 56
54
5 5
54 55
5 4
54
54
5 4
5 5
54 55
5 7
No. OF
SAMPLES
2 3
2 1
4
4 8
3 5
2 7
1 2
2 0
5 9
8
2 2
3 0
2 0
1 9
3 9
1 5
1 0
1 0
5 5
1 9
7 4
2 0
(MICROGRAMS PER CUBIC METER) x 10°
MIN
MAX
1 4
6
1 0
1 4
8
5
1 1
1 3
1 3
5 0
3 0
50
1 0
3 0
3 0
1 6
2 0
1 4
2 0
3 0
30
g
AVG
1
2
6
2
2
3
2
1
1 4
1 1
1 3
2
5
3
2
9
4
4
5
4
FREQUENCY DISTRIBUTION— PERCENT
10
1
1
1
1
1
20
1
1
7
5
5
1
3
1
1
1
1
30
1
1
1
1
1
7
7
7
1
1
1
1
4
3
1
1
1
40
1
1
6
1
1
2
1
1
8
9
9
1
3
1
1
6
3
1
3
1
50
1
2
6
1
2
1
2
1
1
9
9
9
1
4
8
1
9
4
2
4
2
60
1
3
6
2
3
1
2
1
1
1 0
1 0
1 0
2
4
3
1
1 0
4
3
4
4
70
1
3
8
3
4
1
3
3
1
1 0
1 0
1 0
3
5
5
2
1 0
6
6
5
5
5
80
2
4
8
4
5
1
5
4
3
1 0
21
21
5
7
7
2
12
6
8
7
8
6
90
4
5
1 0
5
6
1
5
6
5
2 2
2 2
2 2
9
9
9
1 2
2 1
7
1 1
9
1 0
Y
-------
TABLE 22. TIN—URBAN STATIONS—TOTALS
207
STATE OR REGION
CONNECTICUT TOTAL
MASSACHLISETS TOTAL
NEW JERSEY TOTAL
NEW YORK TOTAL
PENNSYLVANIA TOTAL
DIS COLUMBIA TOTAL
KENTUCKY TOTAL
MARYLANU TOTAL
WEST VIRGINA TOTAL
FLORIDA TOTAL
GEORGIA TOTAL
TENNESSEE TOTAL
ILLINOIS TOTAL
INDIANA TOTAL
MICHIGAN TOTAL
OHIO TOTAL
WISCONSIN TOTAL
MINNESOTA TOTAL
MISSOURI TOTAL
LOUISIANA TOTAL
TEXAS TOTAL
COLORADO TOTAL
UTAH TOTAL
ALASKA TOTAL
CALIFORNIA TOTAL
ORE'GON TOTAL
WASHINGTON TOTAL
NEW ENGLND TOTAL
MID ATLNTC TOTAL
MID EAST TOTAL
SOUTH EAST TOTAL
MID WEST TOTAL
GRT PLAINS TOTAL
GULF SOUTH TOTAL
ROCKY MNTN TOTAL
PAC COAST TOTAL
GRAND TOTAL
YEARS
55 56
5 5
55 56
54 56
54 So
54 5 6
54 55
5 7
54 55
54 55
54 56
55 56
54 56
55 56
53 54
54 57
57
54 55
54 56
54 55
54 55
54 55
54 55
54 55
54 56
54 55
5 7
55 56
54 56
54 57
54 56
53 57
54 56
54 55
54 55
54 57
53 57
No. OF
SAMPLES
3 6
4 9
130
7 6
275
4 6
7 1
1 8
2 7
•7 1
-J ±
2 6
3 2
149
8 6
3 2
182
1 9
3 6
6 3
5 0
155
2 6
3 1
4 2
224
7 4
2 0
8 5
481
162
8 9
463
9 9
205
5 7
360
2006
(MICROGRAMS PER CUBIC METER) x 10°
MIN
3
3
MAX
4 0
1 0 0
2 2
340
5 1 0
3 0
5 0
1 0
100
Q
100
3 0
100
200
8 0
120
1 1
3 0
8 0
1 0
9 0
5 0
7 0
7
6 0
3 0
9
100
510
100
100
200
8 0
9 0
7 0
6 0
510
AVG
5
1 2
1
3 2
9
4
a
5
4
1
1 5
6
1 4
1 8
4
9
6
3
7
1
6
1 3
1 0
1
3
4
4
9
7
6
7
1 2
5
5
1 1
3
7
FREQUENCY DISTRIBUTION— PERCENT
10
1
3
1
1
3
2
2
1
20
1
1
1
3
1
1
3
4
4
3
1
1
3
1
1
2
30
1
1
2
1
1
4
4
1
2
4
5
1
1
4
1
1
9
3
1
1
3
1
1
1
1
2
1
1
5
1
1
40
1
1
2
2
1
5
4
1
3
3
6
7
1
1
5
1
1
1
1
9
5
1
1
1
4
1
1
1
1
4
1
1
7
1
1
50
3
1
1
3
4
1
6
.4
1
6
4
8
1 0
1
2
5
1
1
1
1
1 0
6
1
1
2
4
1
1
4
3
5
1
1
9
1
2
60
6
4
1
6
5
3
8
5
1
8
5
9
2 0
2
4
6
1
4
1
3
1 9
8
1
2
4
4
4
3
5
4
7
1
2
9
2
4
70
7
7
1
9
7
5
1 0
5
1
1 0
7
1 0
2 1
3
5
7
1
7
2
5
2 0
9
1
3
5
5
7
5
6
5
9
5
4
1 9
4
6
80
9
1 0
1
1 6
1 0
6
1 5
6
1
2 2
1 0
2 1
2 9
5
8
8
5
9
3
8
2 1
2 0
2
5
8
6
9
8
9
9
20
8
5
2 1
5
9
90
1 0
3 2
2
2 4
2 0
9
2 1
7
2
4 1
1 9
3 1
3 9
8
2 8
9
9
2 1
4
2 0
2 2
2 1
5
9
1 0
7
2 1
1 8
1 7
2 0
3 0
2 0
1 1
2 2
9
2 0
-------
208
TABLE 22. TIN—SUBURBAN AND NONURBAN STATIONS
STATION LOCATION
SUBURBAN
MIDDLESEX C N T Y MASS
LAKEHURST N J
KANAWHA CO W V A
HILLSBO ROUGH CO FLA
FULTON CO GEORGIA
HAMILTON COUNTY OHIO
TONKA BAY MINN
DENVER COUNTY COLO
SALT LAKE CO UTAH
MULTNOMAH CNTY ORE
GRAND TOTAL
NONURBAN
PT WORONZOF ALASKA
SITE
1
1
1
1
1
1
1
1
1
i
1
YEARS
5 5
55 56
54 55
5 4
5 4
54 55
5 4
54 55
5 4
5 4
54 56
55 56
No. OF
SAMPLES
2 3
1 9
2 3
<:
8
3 6
9
1 0
1 2
149
1 2
1MICROGRAMS PER CUBIC METER) x 10°
MIN
MAX
3 0
3
6
2
c
4
1
3
<
3 0
AVG
3
FREQUENCY DISTRIBUTION— PERCENT
10
20
30
1
40
1
1
1
1
1
1
SO
1
1
1
1
1
1
1
1
1
1
60
2
1
1
1
1
1
1
1
1
1
70
3
1
1
1
1
1
1
1
1
1
80
^
1
1
1
1
1
1
1
1
1
90
7
1
3
2
1
2
1
3
2
2
-------
TABLE 22. TIN—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x Ifr3
209
STATION LOCATION
KATERBURY CONN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
BOSTON MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EVERETT MASS
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
ELIZABETH N J
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
PAULSBORO N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
CAMOEN N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
PERTH AMBOY N J
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
TRENTON N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
JERSEY CITY N J
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
NEW YORK N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
PHILADELPHIA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
ALTOONA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BRISTOL PA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
CHESTER PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
ERIE PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PITTSBURGH PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M UM
YEARS
55 56
5 5
5 5
55 56
55 56
55 56
55 56
55 56
55 56
54 56
54 56
56
55 56
55 56
56
56
JAN
2
1
1 0
1 0
1 0
3
100
5 0
1 0
3
1
2
2
2
1
1
3
1
3
1
2
4
340
9 2
2
20
8 4
1 2
3
1 0
4
3
6
3
FEB
2
1 0
5
2
3 0
1 5
3
9
3
2
4
1
3
1
1
2
2
1
3
2
1
1
6
27
8
1 6
2 3
9
1
1
1
4
4
4
1
3
5
1
MAR
4
7
1
4
3
2 0
8
3
2
1
1
3
3
1
1
3
3
1
4
1 6
7
1
1
2
2
2
4
9
3
1
5
2 3
8
1
1 4
2 8
1 0
1
1
4
4
4
2
2 0
1 0
3
3 0
2 1
4
APR
5
4 0
9
1
1
5
2
5
1
2
5
5
1
1
2
S
2
4
22
5
8
20
7
2
15
22
5
8
1
2
7
5
3
3
8
4
MAY
3
8
4
1
2
1 0
9
9
1
1
1
1
2
1
5
1 7
5
2
1 9
510
4 0
3
4
1
2
2
2
JUNE
3
6
2
2
3
2 0
a
i
i
i
2
1
10
29
5
12
1 3
6
2
13
6
1
5
5
5
3
20
10
4
JULY
3
7
2
2
3
100
3 3
1
4
1
1
1
1
1
2
2
7
2 7
6
1 3
7
2
2
4
2
2
3
1
1
2
5
2
AUG
4
2 0
7
4
7
1
2
2
1
1
2
2
1
2
1
2
7
3
5
1 7
5
1 3
1 6
5
1
1
3
2 3
9
SEPT
1
1
2
1 0
7
4
1
2
2
2
3
1 1
3
1
6
32
1 3
1
1 0
5 7
1 2
2
4
8 3
5
4
1 8
6
3
8
3
2
2 0
2 0
2 0
OCT
4
20
1 0
4
2
4
2
1
2
1
2
2
18
9
1
1
1
1
6
2 2
9
2
8
1 3
6
4
2
6
3
2
4
2
1
4
5
1
2
3 0
17
4
NOV
3
10
6
2
6
3
1
100
100
100
1
1
1
1
3
2
1
1
1
1
7
8
4
8
18
5
1
2
14
9
5
2
5
4
4
2
80
4 1
3
DEC
2
20
1 5
10
1
2
100
5 3
7
2
3
1
1
2
1
2
3
1
2
7
4 4
1 5
9
9 9
2 9
2
8
4
1
3
5
1
1
8
8
8
-------
210
TABLE 22. TIN—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x Ifr3
STATION LOCATION
WILLIAMSPORT PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
WASHINGTON OC
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
LOUISVILLE KY
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
BALTIMORE MD
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
CHARLESTON W VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TAMPA FLA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHATTANOOGA T E N N
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
CHICAGO ILL
NUMBER OF SAMPLES
M A X 1 MUM
A.V E R A G E
Ml N 1 M U M
EAST ST LOUIS ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
EAST CHICAGO INO
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
DETROIT MICH
NUMBER OF SAMPLES
MAX! MUM
AVERAGE
Ml N 1 M U M
CINCINNATI OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YOUNGSTOWN OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
MILWAUKEE WIS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
MINNEAPOLIS MINN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
55 56
54 56
54 55
57
54 55
54 55
54 56
55 56
54 55
55 56
55 56
53 54
54 55
57
57
54 55
JAN
1
2
1 0
8
7
1
6
6
6
2
3
1
1
4 0
4 0
4 0
1
4
1 0
7
4
4
5
2
6
3 0
9
3
1 0
6
1
2
8
6
4
1
2 0
2 0
2 0
FEE
3
4
1
6
1 0
2
3
20
1 4
6
2
5
4
4
1
2
6
3
3
9
6
4
5
2 5
8
7
7 0
2 4
6
2
4
2
5
7
3
1
8
7
2
2
1 0
7
5
4
5
1
MAR
1
1
1
2 0
2 0
2 0
2
1 0
8
6
3
1
4
6
8 0
1 9
3
1 0
6
3
6
100
2 2
2
4 0
2 1
3
1 4
6 0
1 9
3
8 0
2 6
5 2
9 0
4
1
5
5
5
2
8
6
4
4
5
1
APR
2
7
3
5
4
6
9
3
3
9
6
4
5
3
1
5
1
5
50
10
2
3
1
3
2 0
15
5
2
6
5
4
7
7 0
25
4
4
5
1
3 0
4 3
1 1
2
9
7
5
3
1 1
7
5
5
MAY
3
4
1
6
2 0
4
4
1
1
4
4
4
5
3
5
3
3
8
5
1
2
3 0
17
4
1 2
7 0
1 5
3
9
4
•
4
5 0
3 7
3 0
3
2 2
7 0
4
1
7
7
7
2
8
6
5
4
JUNE
2
6
30
9
1
4
50
1 6
3
5
4
3
3
2
1
20
4 0
1 3
3
30
10
6
8 0
2 9
1
2
2
2
1 9
100
10
1
4
4
4
1
5
5
5
3
JULY
1
8
8
8
4
1 0
3
1
1 3
3 0
7
2
4
4
4
2
2
3
1 0
6
3
1
1 4
4 0
8
1
3 0
3 0
3 0
1 0
6 0
1 3
3
8
7 3
1 2
1
2
7
6
6
2
7
6
6
AUG
1
7
10
4
1 3
1 8
8
3
S
4
4
1
2
4
3
3
1
3 0
3 0
3 0
4
6
2
9
2 0
9
2
4
9
6
5
5
2 0
1 4
5
9
5 0
1 4
1
2
7
6
2
5
4
3
5
1 0
3
SEPT
3
6
4
4
6
9
4
1 3
2 2
6
1
5
5
5
1
100
100
100
3
9
3
4
8
4
8
100
2 7
3
3
2 0
1 0
7
300
4 1
3
1 2
115
2 3
1
5
5
5
2
9
7
5
4
5
2
OCT
2
3
6
5
3
6
2 0
1 1
3
1
4
4
4
1
2 0
20
2 0
5
3 0
1 2
4
1 6
100
2 1
5
1
6
4 0
2 3
3
8
120
2 1
2
2
1 0
3
6
1
4
4
4
3
30
1 1
NOV
3
10
6
4
1
1
2
2
5
2
1
100
100
100
3
10
5
13
30
1 1
2
6
5
4
8
20
6
2 1
1 6
3
3
4 1
15
2
20
10
DEC
2
6
30
1 8
6
1
1
1
2
8
6
4
8
22
1 5
8
3
9
4
8
40
1 1
6
30
18
5
1
9
9
9
-------
TABLE 22. TIN—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10-]
211
STATION LOCATION
KANSAS CITY MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ST LOUIS MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
N E » ORLEANS LA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
FT WORTH TEXAS
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
HOUSTON TEXAS
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
M I N 1 M U M
BELLAIRE TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DENVER COL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SALT LAKE CITY UTAH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
ANCHORAGE ALASKA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
LOS ANGELES CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN FRANCISCO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PASADENA CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
BERKELEY CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
SAN JOSE CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
SAN LEANDRO CALIF
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
PORTLAND OREGON
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
SEATTLE WASH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
YEARS
54 56
55 56
54 55
54 55
54 55
54 55
54 55
54 55
54 55
54
55 56
54 56
54 55
54 56
55 56
54 55
57
JAN
4
2
4 0
2 5
1 0
2
3
1
2
5
2
1
3
1 0
6
4
2
2 0
1 5
1 0
3
2 0
1 1
6
1
5
5
5
3
3
2
4
1 0
5
3
3
1
4
1 1
3
3
2 0
1 2
7
1
1 0
1 0
1 0
2
7
6
6
FEB
3
5
1
2
1 0
7
4
3
4
1
3
5
1
7
6 0
1 0
3
2
1 0
9
9
3
3 0
1 4
3
4
1
1
8
8
8
2
3
1
6
6
2
5
6
2
6
3
1
1
2 0
2 0
20
2
2
3
3
3
MAR
8
1 5
1
3
3
1
4
9
5 0
9
4
3
2
5 0
3 5
2 0
2
2 0
1 3
7
4
4
1 7
6
2
3
4
1
4
2
9
4
9
6
1
4
4
4
APR
7
4
2
30
2 0
10
4
4
5
5
1
2
2
9
4
2
7 0
3 5
8
2
4
8
3
1
60
60
6 0
6
4
2
5
2
2
1
4
4
4
4
2
6
5
4
MAY
5
3
2 0
1 5
6
6
5
8
2 0
6
3
3
1
2
2 0
1 5
1 0
2
6
3
4
6
1
3
3
1
5
3
1
2
4
2
1
5
6
2
1
6
6
6
3
3
5
4
4
JUNE
3
1
2
4 0
2 4
9
6
2
4
2
1 4
20
4
3
5
5
2
6
3
7
4
2
1
2
4
2
5,
2
2
6
3
1
5
5
1
2
30
2 0
10
2
5
4
3
JULY
2
2
8
4
6
3
2
2
7
5 0
1 0
2
5
5
5
2
10
1 0
10
2
7
3
1
2
2
2
2
5
7
6
2
3
3
1
5
4
1
4
30
1 3
2
8
5
3
2
4
3
3
AUG
4
7
3
3
8 0
36
8
4
4
1
2
3
2 0
1 1
5
3
1 0
6
4
2
2 0
1 5
1 0
2
9
7
6
3
2
1
2
2
4
2
2
2
1
5
2
4
1 0
7
5
7
3 0
7
2
5
4
4
SEPT
1
1
1 0
1 0
1 0
4
8
2
2
6
90
3 9
9
3
2 0
9
4
2
2 0
1 4
9
2
1 0
9
9
3
5
3
2
3
4
5
3
3
6
3
1
6
1 3
3
1
1 0
1 0
1 0
5
9
3
3
9
4
ocr
i
i
7
7
7
4
5
1
2
6
7 0
1 8
4
1 0
6
2
2
20
20
2 0
2
1 0
8
6
3
5
2
3
6
1 4
3
4
5
2
4
3
20
1 6
1 0
2 1
2 0
5
1
7
7
7
NOV
1
3
10
8
7
5
5
1
2
10
5
9
1 4
2
2
10
5
1
20
20
20
2
20
13
6
1
5
5
5
5
5
7
1
7
5
1
7
50
16
7
20
20
'5
1
DEC
1
60
60
6 0
2
6
3
3
1 0
5
3
2
4
2
7
35
9
3
9
6
5
2
30
2 S
20
3
2 0
1 5
7
3
7
4
1
1
4
8
5
3
6
5
2
1
-------
212
TABLE 22. TIN—SUBURBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10'
STATION LOCATION
MIDDLESEX C N T Y MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LAKEHURST N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
KANAWHA CO W VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIM U M
HAMILTON COUNRY OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DENVER COUNTY COLO
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
YEARS
5 5
55 56
54 55
54 55
54 55
JAN
2
3 0
1 8
7
2
2
1
1
FEB
1
2
2
2
1
3
4
1
1
2
2
2
1
MAR
2
4
2
3
3
1
2
4
2
1
APR
3
1
1
2
1
MAY
1
2
5
5
2
JUNE
3
7
3
1
3
3
1
JULY
2
3
1
1
3
4
2
1
AUG
3
1
4
4
1
SEPT
3
5
1
2
4
3
1
2
3
3
3
OCT
1
1
2
6
3
4
2
2
NOV
2
2
1
3
3
1
1
1
DEC
3
6
3
1
1
3
3
3
S
1
1
-------
TABLE 23. TITANIUM—URBAN STATIONS
213
STATION LOCATION
WATERBURY CONN
BOSTON MASS
EVERETT MASS
ELIZABETH N J
PAULSBORO N J
CAMDEN N J
PERTH A M B 0 Y N J
TRENTON N J
JERSEY CITY N J
NElV YORK N Y
PHILADELPHIA PA
ALTOONA PA
BRISTOL PA
CHESTER PA
ERIE PA
PITTSBURGH PA
WILLIAMSPORT PA
iVASHINGTON DC
LOUISVILLE KY
BALTIMORE MD
CHARLESTON W VA
TAMPA FLA
ATLANTA G A
CHATTANOOGA TENN
SITE
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
3
1
1
1
1
3
4
5
6
7
1
1
1
1
1
1
1
2
1
1
1
2
2
2
3
1
1
4
1
1
3
4
YEARS
5 5
5 6
55 5 6
5 5
5 5
55 56
55 5 o
55 5 b
55 56
55 56
55 5 b
5 4
5 5
5 6
54 56
54 55
54 56
5 4
5 5
5 b
54 56
5 4
5 6
5 6
56
56
5 4
5 5
56
5 « 56
5 6
55 56
55 56
5 6
5 6
55 56
5 4
55 56
54 56
5 4
5 5
54 55
5 •-
5 .
54 55
5 4
5 fl
5 5
54 55
5 7
5 4
5 5
54 55
54 55
54 56
5 5
55 56
55 56
No. OF
SAMPLES
1 4
2 ?.
3 6
2 3
2 6
2 1
2 5
2 1
2 3
1 7
2 3
5
4 2
3
5 0
2 3
7 3
6
9 4
1 1
111
4
1 1
9
1 1
1 1
1 0
9 4
5 3
157
1 3
1 8
1 8
2 5
2 1
2 3
2 6
2 0
4 6
2 0
2 1
4 1
1 3
1 0
2 3
3
3 6
3 1
6 7
1 b
1 1
1 6
2 7
2 8
2 2
1 4
1 8
3 2
(MICROGRAMS PER CUBIC METER) x 10-'
MIN
1
1
2
1
1
1
1
1
1
1
1
1
1
1
1
2
5
1
MAX
9
1 0
1 0
2 0
7
5
4
5
6 1
6
1 3
5 7
6 1
4
6 1
3 1
6 1
6 8
1 2
4
6 B
3 5
1 0
4
5
7
6 8
1 2
1 0
6 8
3
5
S
3
6
5
9 8
7
9 8
1 5
1 3
1 5
4
4
4
1
1 5
1 3
1 5
3 3
106
3 0
1 0 6
9
5 5
1 1
4
1 1
AVG
3
3
3
3
2
1
1
2
3
1
2
2 7
1 1
3
1 2
3
9
3 2
2
2
4
1 2
2
2
2
2
2 4
2
2
4
1
1
2
2
2
1 3
3
8
5
5
5
1
2
2
3
4
3
9
3 2
1 0
1 9
a
2
1
2
FREQUENCY DISTRIBUTION— PERCENT
10
1
1
1
1
1
1
1
1
1
1
1
3
5
1
2
1
JO
2
1
1
1
1
1
1
1
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
1
1
1
1
1
1
1
5
6
2
4
2
1
30
2
2
2
1
1
1
1
1
7
1
2
1
1
1
7
1
1
1
1
1
2
1
1
1
1
1
1
1
1
1
1
1
2
2
2
1
1
1
1
2
1
6
6
4
5
3
1
1
1
40
2
2
2
i
i
i
i
i
i
i
7
2
2
2
2
2
7
2
2
2
1
1
2
1
1
7
2
1
1
1
1
2
1
1
2
1
3
3
3
1
2
1
1
2
2
7
7
4
7
3
1
1
1
50
£
2
2
1
2
1
1
2
1
1
1
3 9
3
3
3
2
3
2 6
2
3
2
1
1
2
2
1
1 6
2
2
2
1
1
2
1
2
2
1
2
2
3
4
4
1
2
2
1
2
3
2
8
1 8
8
1 0
1
4
1
2
1
60
3
3
3
1
2
1
2
2
1
1
2
3 9
4
3
A
3
4
4 S
2
3
3
1
2
2
2
1
2 6
2
2
2
1
1
3
1
3
2
1
2
2
5
5
5
2
2
2
1
3
4
3
8
2 0
1 0
1 4
1
4
1
2
2
70
'.
4
3
1
2
1
2
3
1
1
2
4 5
1 2
3
1 3
4
5
4 5
3
4
3
1 6
2
2
3
2
3 9
3
3
3
1
1
3
1
3
3
4
3
3
6
7
6
2
3
2
1
3
5
4
9
2 6
1 0
1 9
1
6
2
2
80
3
5
4
£
3
1
3
4
2
2
3
4 5
2 4
3
2 5
5
1 4
6 0
3
4
4
1 6
3
3
3
2
4 5
3
3
4
1
1
3
1
3
3
2 0
4
5
6
9
8
2
3
3
1
5
7
6
1 1
7 4
1 9
2 0
1
9
-J
2
•T
90
4
7
5
3
4
2
4
4
4
4
4
6 0
3 9
4
4 1
6
3 7
6 0
5
4
6
3 9
4
3
4
5
60
5
4
6
2
1
4
1
4
4
4 5
5
2 0
1 4
9
1 2
3
4
3
1
6
9
9
1 2
7 9
2 0
3 0
1
1 8
4
3
3
-------
214
TABLE 23. TITANIUM—URBAN STATIONS
STATION LOCATION
CHICAGO ILL
EAST ST LOUIS ILL
EAST CHICAGO i N o
DETROIT MICH
CINCINNATI OHIO
YOUNGSTOWN OHIO
MILWAUKEE W 1 S
MINNEAPOLIS MINN
KANSAS CITY MO
ST LOUIS MO
NEW ORLEANS LA
FT WORTH TEXAS
LAKEWORTH TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
DENVER COL
SALT LAKE CITY UTAH
ANCHORAGE ALASKA
SITE
i
1
1
?
2
2
3
i
1
<
1
3
3
4
1
1
1
1
1
1
Z
4
5
1
1
1
1
1
2
3
4
1
1
2
1
1
1
1
1
1
1
1
2
1
1
1
YEARS
5 4
5 5
54 55
5 ^
55
54 55
5 4
5 5
54
5 b
54 55
55 56
55 56
55 56
55 56
55 56
55 56
55 56
55 56
5 3
5 4
53 54
5 4
5 5
54 55
5 4
5 4
5 4
5 4
5 j
54 55
5 7
5 7
5 4
5 5
54 55
54 56
5 4
55 56
54 56
55 56
54 55
54 55
54 55
54 55
4
4
4 55
4
5
4 55
4 55
4 55
4
4 55
No. OF
SAMPLES
3 8
3 1
2 9
2 6
5 5
2 9
3 5
8 3
118
1 5
1 4
2 9
1 9
86
2 1
2 0
8 6
1 6
5
2 1
6 4
2 7
9 1
1 1
8
1 3
9 6
2 7
123
1 2
1 9
1 5
2 0
3 5
2 5
4
9
3 8
2 3
2 6
2 4
5 0
2 7
3
2 3
5 6
79
3 0
1 4
3 4
2 6
3 1
3 1
1 0
4 1
IMICROGRAMS PER CUBIC METER) x la1
MIN
1
1
1
1
1
1
3 7
1
1
1
3
4
1
MAX
6 2
6 2
5 8
5 1
5 8
2 9
4
6 2
5 1
6 2
1 0
5
1 0
30
2 9
1 5
1 6
3 0
105
108
108
7 1
7 0
7 1
5 1
2 0
6 5
7 1
7 0
7 1
2 9
3 8
7 2
4
72
6 0
3 9
4
6 0
30
]^
1
1
518
3 9
8 6
5
8 6
1 2
4
1 2
2 4
6 6
750
4 7
750
AVG
2 6
g
4
1 0
7
1 3
1
1 1
C
£
2
T
6
7
4
3
5
3 4
5 9
4 0
6
7
6
1 0
4
1 9
8
7
8
1 3
1 2
1 6
2
8
8
2 6
1
8
3
1 9
9
2 3
1
8
3
1
2
5
1 0
114
1 1
8 9
FREQUENCY DISTRIBUTION — PERCENT
10
2
1
1
1
1
1
T
3 9
3
1
1
3
4
1
1
1
1
1
20
2
1
1
2
2
j
1
1
*
3 9
6
1
1
1
1
7
5
1
1
1
1
1
1
1
2
2
5
7
1
2
30
1
]_
;
!
3
1
2
3
2
1
1
a
7
4 9
7
1
2
i
i
i
i
i
c
i
1 0
7
1
1
1
1
1
1
1
1
1
4
1
1
1
1
2
6
2 0
1
7
40
2
1
±
:
1
3
2
3
3
3
C
2
2
7
4 9
1 2
1
2
1
1
1
8
1
2
1
1 0
9
1
1
1
1
3 4
1
1
1
1
5
1
1
1
1
1
3
8
5 2
2
1 8
50
1 8
2
2
1 2
1
3
2
3
3
3
i
^
3
3
T
1 2
5 2
3 9
1
3
2
1
1
1 6
1
2
2
1 2
1 0
1
2
2
2
3 4
1
2
2
1
1
1
1
1
8
1
1
1
1
1
3
9
9 1
3
4 9
60
1 8
2
3
1 2
1
6
2
2
4
2
3
4
cr
^
i
4
3 9
5 2
5 2
2
3
3
5
3
1 8
3
3
3
1 5
1 3
3
3
2
3
3 4
1
2
2
1
1
1
1
1
2 0
1
3
2
1
1
4
9
119
5
8 5
70
1 8
1 2
3
1 0
2
4
3
3
c
C
<:
3
5
5 6
6 0
S 7
T
7
3
1 3
4
2 3
4
3
4
1 S
1 3
3 0
2
3
3
3 7
1
3
3
1
1
1
1
1
2 6
2
3
3
1
3
5
1 0
143
1 0
119
80
1
1 0
1 3
2
1 6
4
c
3
<
8
1 2
c
4
7
6 5
6 0
6 5
4
4
4
1 8
4
30
1 3
4
10
1 8
1 S
3 9
3
4
4
37
3
4
3
1
1
1
1
1
3 9
3
S
3
2
2
7
1 0
179
1 8
149
90
b 9
4
5
4 3
6
1 6
3 0
3
4 5
4
9
8
4
5
1 0
1 6
8
5
1 4
6 9
119
104
2 2
5
2 0
3 4
8
5 2
2 5
5
3 5
3 3
2 3
6 9
3
3 9
3 9
3 9
2
3 6
5
1
1
1
1
3 0
7 4
3
2 3
8
3
6
1 0
1 9
335
3 4
330
-------
TABLE 23. TITANIUM—URBAN STATIONS
215
STATION LOCATION
LOS ANGELES CALIF
SAN FRANCISCO CALIF
PASADENA CALIF
BERKELEY CALIF
SAN JOSE CALIF
SAN LEANDRO CALIF
PORTLAND OREGON
SEATTLE HASH
SITE
1
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
5
4
1
YEARS
5 4
5 4
5 4
55 5 o
5 4
5 '.
5 t^
54 So
54 55
5 4
5 S
5 >
54 56
55 56
5 4
5 S
54 55
54
5 4
5 4
5 4
5 5
54 55
57
No. OF
SAMPLES
1 2
3
1 5
3 2
2 3
2 1
^
4 b
3 3
2 5
1 2
2 0
5 7
3 0
2 0
1 9
3 9
1 5
1 0
1 0
5 5
1 9
7 4
2 0
(MICROGRAMS PER CUBIC METER) x 1CH
MIN
1
1
1
5
MAX
102
2 8
102
4
1 3 1
2 7
1 0
131
4 0
2 4
2 2
1 0
2 4
5
5 4
7
5 4
6 6
1 5
9
6 6
7
6 6
3 7
AVG
5 3
9
4 4
3 3
4
5
1 8
5
4
4
4
4
1
1 9
3
1 1
1 8
7
5
1 4
3
1 1
1 4
FREQUENCY DISTRIBUTION— PERCENT
10
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
6
20
E
n
3
<:
1
1
1
1
1
1
2
1
1
]
]
1
2
:
i
E
i
z
7
30
3 C
1
2 t
i ;
1
i
«
i
,
i
T
z
1
-
C
i
-
i
-
^
i:
1
8
40
3S
1
2 t
2C
l:
3
1
3
3
3
3
1
4
•a
3
9
6
5
6
3
4
9
50
4 f
1
3 S
]
2 f
£
^
J
4
2
4
4
1
7
3
4
1 2
8
5
8
5
1 5
60
6C
1
4 ;
1
3 4
c
1 C
^
C
4
4
4
2
1 4
3
4
1 4
9
7
S
V
1 €
70
7 <,
1
7 i
:
4 £
^
t
2 "i
4
e
^
C
t
J
3 «
/;
(
2 C
1 C
£
1 j
i
S
1 7
80
9 1
]
8 £
1
5 2
£
30
5
7
5
6
7
2
3 9
4
1 4
2 6
1 C
8
2 6
4
1 4
1 8
90
9 8
30
9 8
1
7 4
6
1 0
5 2
1 2
8
8
8
8
3
4 5
5
3 9
5 2
1 2
9
4 3
5
3 9
2 0
-------
216
TABLE 23. TITANIUM—URBAN STATIONS—TOTALS
STATE OR REGION
'. u N I'l E '. T i '.. u r T o \ /\ L
M A S S A C hi LI 5 t T " 1 U T A L
NEW JERSEY TOTAL
NEW YORK TOTAL
PENNSYLVANIA T ' i T A L
DIS COLUMBIA TOTAL
KENTUCKY1 TOTAL
MARYLAND TOTAL
WEST VIRGIN* TOTAL
FLORIDA TOTAL
GEORGIA TOTAL
TENNESSEE TOTAL
ILLINOIS TOTAL
INDIANA TOTAL
M 1 C H 1 u A M TOTAL
OHIO TOTAL
WISCONSIN TOTAL
MINNESOTA TOTAL
MISSOURI TOTAL
LOUISIANA T"TAL
TEXAS T i T A L
COLORADO TOTAL
UTAH TOTAL
ALASKA TOTAL
CALIFORNIA TOTAL
OREGON TOTAL
WASHINGTON TOTAL
NEW ENGLNO TOTAL
MID ATLNTC TOTAL
MID EAST TOTAL
SOUTH EAST TOTAL
MID WEST TOTAL
CRT PLAINS TOTAL
GULF SOUTH TOTAL
ROCKY MNTN TOTAL
PAC COAST TOTAL
GRAND TOTAL
YEARS
5 r< 5 O
5 b
55 56
54 56
54 56
5 '-. 5 o
5fl 55
5 7
Si 55
5« 55
5 i 56
55 56
54 56
55 56
53 54
54 57
5 7
54 55
5 i 5 0
54 55
54 55
54 55
54 55
54 55
54 56
54 55
5 7
55 56
54 56
54 57
54 56
53 57
54 56
54 55
54 55
54 57
53 57
No. OF
SAMPLES
3 6
4 9
130
7 3
275
4 6
6 7
1 8
2 7
2 6
S 2
3 Z
147
8 6
2 1
135
1 9
3 5
6 1
5 0
143
2 6
3 1
4 1
215
7 4
2 0
8 5
478
158
8 2
408
9 6
193
5 7
350
1907
(MICROGRAMS PER CUBIC METER) x 10'
MIN
2
1
1
4
1
5
MAX
1 0
2 0
61
6 1
6 8
9 8
1 5
3 3
106
9
5 5
1 1
6 2
3 0
108
7 1
3 8
7 2
6 0
1
518
2 4
6 6
750
131
6 6
3 7
2 0
6 8
106
5 5
108
7 2
518
6 6
750
750
AVG
3
2
C
9
3
8
T
9
1 9
8
2
5
5
4 0
8
1 2
8
6
8
5
1 0
8 9
9
1 1
1 4
2
3
8
3
8
7
6
8
1 9
8
FREQUENCY DISTRIBUTION — PERCENT
10
1
3
2
1
1
3
4
1
1
1
1
6
1
20
1
1
1
5
4
2
1
1
6
1
5
1
1
2
5
2
1
2
7
1
1
1
1
2
1
1
30
fi
1
1
1
1
1
1
6
5
3
1
1
2
7
1
7
1
1
1
2
6
7
1
3
8
1
1
1
1
1
1
3
1
1
40
2
1
1
2
J
J
2
7
7
3
1
1
2
1 2
1
9
1
1
1
3
8
i a
1
4
9
1
1
2
1
2
1
1
4
2
1
50
2
1
1
1
2
2
8
1 0
1
4
1
2
3
3 9
2
1 0
2
2
1
1
3
9
4 9
2
5
1 5
2
1
3
1
3
2
1
6
4
2
60
3
!
1
4
2
2
3
8
1 4
1
4
2
3
^
5 2
3
1 2
2
2
1
1
4
9
8 5
3
7
1 6
2
2
c
2
•7
2
1
8
C
70
3
2
2
5
3
3
4
9
1 9
1
6
2
3
5
5 7
C
1 3
3
3
1
2
c
1 0
119
C
9
1 7
3
3
6
2
5
1
9
9
4
80
^
2
3
1 4
3
5
6
1 1
20
1
9
3
4
7
6 5
1 2
1 5
4
4
1
3
7
1 0
149
7
1 4
1 8
3
3
9
3
1 0
4
2
1 0
2 0
7
90
5
4
4
3 7
4
2 0
9
1 2
3 0
1
1 8
3
9
1 4
104
2 5
2 3
3 9
3 0
1
1 1
1 0
1 9
220
2 8
3 9
2 0
5
5
1 9
7
2 1
3 0
6
1 9
4 8
1 8
-------
TABLE 23. TITANIUM—SUBURBAN AND NONURBAN STATIONS
217
STATION LOCATION
SUBURBAN
MIDDLESEX CNTY MASS
LAKEHURST N J
KANAWHA CO W VA
HILLSBOROUGH CO FLA
FULTON CO GEORGIA
HAMILTON COUNTY OHIO
TONKA BAY MINN
DENVER COUNTY COLO
SALT LAKE CO UTAH
MULTNOMAH CNTY ORE
GRAND TOTAL
NONURBAN
PT WORONZOF ALASKA
SITE
1
1
1
1
1
1
1
1
1
6
1
YEARS
5 5
55 5 o
54 55
5 i
5 4
54 55
5 4
54 55
5 4
5 4
54 56
55 56
No. OF
SAMPLES
2 3
1 9
2 3
4
4
2 9
9
1 0
4
1 2
137
1 2
(MICROGRAMS PER CUBIC METER) x HH
MIN
5
1 0
1
1
MAX
2
5
1 7
2 0
4 0
2 6
2 2
5
6 1
9
6 1
1 0
AVG
3
1 1
1 9
2
2
3
1 5
3
3
3
FREQUENCY DISTRIBUTION— PERCENT
10
1
1
20
5
1 0
1
1
30
1
5
1 0
1
1
1
40
1
8
1 2
1
1
I
1
1
1
1
50
1
1
1
8
1 2
1
1
8
1
2
1
3
60
1
1
2
8
1 2
1
1
2
1
3
1
1>
70
1
1
4
1 4
1 8
1
1
2
1
3
1
4
80
1
1
5
1 4
1 8
2
1
4
1
6
4
5
90
1
1
e
2 0
4 5
7
1
5
6 9
9
9
5
-------
218
TABLE 23. TITANIUM—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 1O1
STATION LOCATION
WATERBURY CONN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BOSTON MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EVERETT MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ELIZABETH N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PAULSBORO N J
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
CAMDEN N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PERTH AMBOY N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TRENTON N J
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
JERSEY CITY N U
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
NEW YORK N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PHILADELPHIA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ALTOONA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BRISTOL PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHESTER PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ERIE PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PITTSBURGH PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
WILLIAMSPORT PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
55 56
5 5
5 5
55 56
55 56
55 56
55 56
55 56
55 56
54 56
54 56
5 6
55 56
55 56
5 6
56
55 56
JAN
2
3
1
1
3
3
3
3
3
2
1
3
1
2
4
3
3
2
2
2
2
3
3
1
3
1
1
1
2
2
1
1
4
4 5
1 3
1
2 0
6 8
6
3
1
3
3
1
1
FEB
2
4
3
3
2
2
1
1
3
7
3
2
4
4
3
2
3
5
3
2
1
1
1
1
2
4
2
1
3
4
3
2
4
3
1
1
1 6
5 3
8
1
1
1
1
1
1
2
2
2
1
3
3
3
1
3
3
1
1
3
5
3
2
MAR
4
5
2
2
4
2 0
5
3
4
3
2
3
2
1
1
3
4
2
2
3
4
3
3
4
2
1
1
1
1
1
1
4
9
4
2
4
3 7
1 9
2
1 4
b
2
1
1
1
1
1
1-
1
1
1
2
1
3
5
4
3
1
3
3
3
APR
5
2
2
2
1
1
1
1
1
5
2
1
1
5
3
1
1
2
5
3
1
5
6 1
1 3
1
6
6
6
4
1 3
4
1
8
2 4
9
1
15
2 6
3
2
1
i
1
1
2
2
2
2
3
2
2
4
3
3
MAY
3
3
2
2
1
1
1
1
2
5
4
4
1
2
2
1
1
5
4 1
8
1 9
1 0
3
3
3
1
2
1
2
1
2
3
4
2
1
JUNE
3
2
1
1
2
1
3
2
1
1
1
1
1
1
1
1
1
1
1
2
2
2
2
1 0
3 4
4
1 2
5
2
1
2
1
1
1
1
1
1
1
3
4
2
1
2
JULY
1,
4
3
3
2
1 0
5
1
3
4
2
1
1
4
1
1
2
2
2
1
2
1
1
1
S
1
7
1 4
4
1 3
4
1
2
5
3
1
2
4
2
1
1
2
1
1
1
1
1
1
1
AUG
4
9
S
3
4
2
2
2
1
2
1
1
1
1
1
2
2
1
1
2
1
1
1
1
1
1
1
2
3
2
1
5
4
2
1 3
6
2
1
1
1
1
1
1
3
5
3
1
1
3
3
3
SEPT
1
5
5
5
1
2
2
2
2
2
1
1
1
1
1
1
3
2
1
1
1
1
1
1
6
6 1
2 4
2
1 0
8
3
1
2
4
1
1
1
4
5
3
3
3
1
2
3
2
2
3
3
2
2
OCT
4
7
4
2
2
2
1
1
1
2
2
2
2
3
1
2
4
4
4
2
1
1
1
1
5
5
5
6
2 6
8
2
8
4
2
1
2
2
1
2
1
1
1
1
4
3
1
2
3
3
3
2
1
NOV
3
10
5
2
2
2
1
1
1
2
2
2
1
1
1
1
3
4
1
1
1
1
1
1
1
1
1
7
5 7
10
8
4
2
1
^
1
1
1
2
1
1
1
2
1
1
1
2
6
4
3
3
3
2
1
DEC
2
b
5
3
1
2
2
2
2
3
2
2
2
5
3
1
1
2
4
3
2
2
3
2
1
3
2
1
1
2
3
2
1
7
4 0
1 2
9
9
3
1
2
1
1
1
1
^
4
3
1
1
3
3
3
2
3
2
1
-------
TABLE 23. TITANIUM—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10-!
219
STATION LOCATION
WASHINGTON DC
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LOUISVILLE KY
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BALTIMORE MD
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
CHARLESTON W VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TAMPA FLA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ATLANTA GA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U y
CHATTANOOGA TENN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHICAGO ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EAST ST LOUIS ILL
NUMBER Of SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
EAST CHICAGO INO
NUMBER OF SAMPLES
MAX t MUM
AVERAGE
Ml N 1 M U M
DETROIT MICH
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N | M U M
CINCINNATI OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YOUNGSTOWN OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
MILWAUKEE WIS
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
MINNEAPOLIS MINN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
KANSAS CITY MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
54 56
54 55
5 7
54 55
54 55
54 56
55 56
54 55
55 56
55 56
53 54
54 55
5 7
57
54 55
54 56
JAN
1
5
5
5
3
2
1
1
1
6
6
6
Z
1
1
8
8
8
1
4
1
4
5
2
1
6
5
3
1
3
5 7
2 0
1
2
1 3
1 1
1 0
1
4
4
4
4
4
2
1
FEB
6
6
4
3
3
5
3
2
2
1 £
1 0
9
1
2 0
2 0
2 0
2
9
5
1
2
5 5
2 9
4
5
1 1
2
7
5 1
1 0
1
2
3
2
1
5
2 0
4
1
5
2 0
7
4
2
2 1
1 3
5
3
4
2
2
3
3
3
MAR
1
3
3
3
1
7
7
7
2
1 4
1 0
7
3
1 9
9
4
1
4
6
4
3
3
2
1
1
6
3
2
2
1 0
6
3
1 4
1 4
5
2
1
3 7
3 7
3 7
3 0
6 5
1 5
1
1 0
i 0
1 0
2
1 6
1 0
5
4
7 2
4 4
2
8
6 0
2 9
2
APR
5
H 7
2 7
3
2
^
3
3
1 3
7
3
5
106
4 0
6
5
1
4
2 3
1 0
2
g
3
3
1
3
5
3
1
2
8
5
3
7
1 3
7
4
2
108
7 8
4 8
1 0
7 1
2 3
2
1 8
1 3
8
3
38
26
9
5
3 6
1 3
6
3 1
8
MAY
6
9 8
1 8
,,
7
1
1
2
2
2
5
2 5
1 5
8
5
1
3
1 8
8
2
2
4
3
3
1 0
1 8
4
2
4
2
1
4
1 6
1 0
4
1
5 1
5 1
5 1
1 0
2 2
2
1
1 0
1 0
1 0
2
1 5
9
4
4
5
1
JUNE
6
4 8
1 9
4
1 3
5
3
9
8
8
3
7 4
3 2
4
2
1
3
3
3
2 0
6 2
1 4
3
4
3
3
6
2 0
1 1
3
1
5 3
5 3
5 3
1 9
5
1
3
3
3
1
4
4
4
3
2
1
3
3
1
JULY
4
2
1 3
1 1
4
1
2
8
6
4
2
9
6
4
2
3
3
1
1
1
3
3
3
1 4
9
1
1
6
6
6
1 0
3 0
8
1
8
3
2
1 6
1 5
1 5
2
1 0
7
4
2
1
1
1
AUG
7
2
1 3
9
3
1
3
3 3
1 6
6
1
1 0
1 0
1 0
2
1
1
1
1
3
3
3
4
2
1
1
9
5
1
4
3
2
2
5
2 9
8
2
9
4
1
2
2 9
2 2
1 6
2
7
7
7
5
4
1
1
4
5
2
1
SEPT
6
3
1 2
1 5
4
1
1
7
7
7
1
2 0
2 0
2 0
3
1
4
3
2
1
8
9
2
3
4
2
1
7
4
2
1
1 2
4
2
1
7
7
7
2
1 4
1 2
1 1
4
3
2
2
1
2
2
2
OCT
3
3
1
6
9
4
2
3
2 0
9
2
1
1
1
1
1
9
9
9
5
3
2
1
1 6
9
2
1
1
1
1
6
5
3
1
8
6
2
1
2
2 1
1 6
1 2
1
1 3
1 3
1 3
3
3
1
1
NOV
1
3
3
3
1
3
3
3
2
1
2
1
7
7
7
3
2
1
1
1 3
1 6
3
2
5
3
2
8
3
2
1 6
105
3 4
1
3
7 0
25
2
2
4
2
1
1
2
2
2
DEC
6
1 5
4
1
1
30
3 0
30
1
1
5
5
5
2
4
2
1
b
4 2
1 0
3
4
3
3
8
4
1
6
1 0
4
1
1
2
2
2
1
2
3
3
-------
220
TABLE 23. TITANIUM—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10"'
STATION LOCATION
ST LOUIS MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NEW ORLEANS LA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
FT WORTH TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HOUSTON TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
BELLAIRE TEXAS
NUMBER OF 'SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DENVER COL
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
SALT LAKE CITY UTAH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ANCHORAGE ALASKA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LOS ANGELES CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN FRANCISCO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PASADENA CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BERKELEY CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN JOSE CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN LEANDRO CALIF
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
PORTLAND OREGON
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SEATTLE WASH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
55 56
54 55
54 55
54 55
54 55
54 55
54 55
54 55
5 4
55 56
54 56
54 55
54 56
55 56
54 55
5 7
JAN
2
6
3
1
2
2
1
1
1
1
5
5
5
3
3
2
1
2
2
2
2
3
9
7
4
1
3
3
3
3
4
2
1
4
6
3
3
4
1
4
8
5
4
3
2
1
1
1
4
4
4
2
i a
1 7
1 6
FEB
2
4
3
2
3
1
2
1
1
1
5
3
1
1
3
4
2
2
2
1
1
3
6 6
3 1
8
4
3 3
1 1
2
1
6
2 7
7
3
1 1
6
6
2 2
6
1
1
1
1
1
2
3 8
3 8
3 8
2
2 0
1 3
6
MAR
3
3
518
173
a
6 1
1 3
3
2
1
1
2
1 0
7
5
2
2 0
1 3
6
3
4 8
1 7
3
102
9 4
8 5
2
1
3
1 2
6
2
2
2
1
1
2
2
1
1
9
5 0
2 1
1
1 7
1 7
1 7
APR
2
5
4
3
4
2
1
5
7 7
17
1
2
1
1
1
2
2 0
1 2
5
2
I'D
9
9
8
750
182
1
3
9 1
4 2
8
1
1
1
1
6
6 9
2 6
1
2
2 1
1 4
7
2
2 4
1 2
1
1
1
1
4
54
2 8
1
2
8
7
7
MAY
3
2
1
1
6
1
4
8
4 5
1 2
1
3
1
2
4
3
3
2
2 0
1 2
5
4
257
9 9
5
4 0
2 1
3
1
1
1
5
4 2
9
2
5
4
2
1
2
2
2
3
3
3 7
2 3
8
JUNE
2
3
2
1
6
1
2
1
1
1
1 4
8 6
1 8
3
5
2 4
1 0
2
6
1 0
3
7
235
9 4
1 0
2
7 3
3 6
2
1
1
1
5
3 6
1 8
2
2
4 0
2 0
5
4
2
2
3
3
3
2
1 7
1 7
1 7
JULY
2
2
1
6
1
S
7
8
3
2
1 1
8
6
2
7
5
4
2
9
7
6
1
233
233
233
2
5 5
4 0
2 5
5
1
7
7 0
2 0
3
3
3 0
1 1
2
5
9
5
4
4
3
2
2
2
5
4
4
2
1 6
1 5
1 5
AUG
3
3 0
1 1
2
4
1
2
3
2
1
3
1 2
7
1
2
5
3
2
2
1 0
9
8
3
168
8 9
1 0
2
1
2
1 8
9
1
2
2
2
2
5
8
6
3
4
2
2
2
7
6
3
1
2
1 5
1 0
5
SEPT
1
3
3
3
4
1
2
6
5
2
1
3
2
1
1
2
3
2
8
2
2 0
1 4
8
3
1 3 S
9 6
7 0
3
1
4
7 1
2 1
4
3
4
3
2
6
1 0
5
3
1
2
2
2
5
7
3
1
3
9
7
6
OCT
1
3
3
3
4
1
2
1
1
1
6
4
1
4
2
1
1
2
4
4
4
2
1 0
10
1 0
3
130
67
4
3
1
6
131
4 5
3
4
5
3
4
8
4
3
3
3
2
2
2 1
4 3
6
1
1 3
1 3
1 3
NOV
3
2
1
1
5
1
2
1
9
1
1
1
2
2
1
1
1
10
10
10
2
10
10
10
1
7
7
7
5
1
5
5
2
7
6
3
7
5
2
1
20
6 6
13
DEC
2
4_
3
3
3
1
2
3
1
7
7
2
3
3
2
2
2
6
4
3
3
20
1 1
5
3
37
1 2
1
1
1
1
4
3
1
6
y
4
1
1
1
1
-------
TABLE 23. TITANIUM- SUBURBAN AND NONURBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 1CH
221
STATION LOCATION
SUBURBAN
MIDDLESEX CNTY MASS
NUMBER OF SAMPLES
MAXIMUM
A 1 E R A G E
Ml N 1 M U M
LAKEHURST N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
KANAWHA CO W VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
HAMILTON COUNTY OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
DENVER COUNTY COLO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
NONURBAN
PT WORONZOF ALASKA
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
YEARS
5 5
55 So
5a 55
54 55
5fl 55
55 56
JAN
a
2
1
1
^
i
l
i
i
i
FEB
1
1
1
1
1
3
8
3
1
1
1
1
1
MAR
2
2
1
1
3
5
2
2
5
3
a
3
2 6
1 3
7
1
3
Z
a
i
i
i
i
APR
^,
1
6
6
6
1
4
4
4
1
1
1
1
MAY
1
1
1
1
2
I
5
1 7
7
1
2
5
4
4
JUNE
3
1
1
3
1
3
JULY
2
1
1
1
1
3
3
1
1
4
1
5
5
5
1
4
4
4
AUG
3
1
1
4
4
4
4
1 7
4
2
5
3
1
SEPT
3
1
2
1
4
5
2
2
2
2
2
1
3
3
3
OCT
1
1
1
1
1
2
5
3
1
4
2
2
i
i
l
3
3
3
NOV
2
1
2
1
1
3
1
1
5
5
5
1
1 0
10
1 0
DEC
3
1
1
1
1
1
2
2
1
1
2
2
2
1
1
1
1
-------
222
TABLE 24. VANADIUM—URBAN STATIONS
STATION LOCATION
WATERBURY CONN
BOSTON MASS
EVERETT MASS
ELIZABETH N J
PAULSBORO N J
CAMDEN N J
PERTH AMBOY N J
TRENTON N J
JERSEY CITY N J
NEW YORK N Y
PHILADELPHIA PA
A L T 0 0 N A PA
BRISTOL PA
CHESTER PA
ERIE PA
PITTSBURGH PA
WILLIAMSPORT PA
WASHINGTON DC
LOUISVILLE KY
BALTIMORE MO
CHARLESTON » VA
TAMPA FLA
ATLANTA GA
CHATTANOOGA TENN
SITE
1
1
1
1
1
1
1
1
1
1
1
2
3
1
1
1
1
3
4
S
6
7
1
1
1
1
1
1
1
2
1
1
1
a
2
2
3
1
1
4
1
1
3
4
YEARS
5 5
56
55 56
5 5
5 5
55 56
55 56
55 56
55 56
55 56
55 56
54 56
54 55
54 56
5 4
5 5
5 6
54 56
5 4
56
5 6
5 6
56
54
5 b
5 6
54 56
5 6
55 56
55 56
5 6
5 6
55 56
5 4
55 56
54 56
5 4
5 5
54 55
54
5 5
54 55
5 4
5 4
5 5
54 55
5 7
54
5 5
54 55
54 55
54 56
5 5
55 56
55 56
No. OF
SAMPLES
1 4
2 2
3 6
2 3
2 6
2 1
2 5
2 1
2 3
1 7
2 3
5 0
2 S
7 6
6
9 4
1 1
111
4
1 1
9
1 1
1 1
1 0
9 4
5 3
157
1 3
1 8
1 8
2 5
2 1
2 3
2 6
1 8
4 4
2 1
2 1
4 2
1 3
1 0
2 3
5
3 9
3 1
7 0
1 8
7
1 6
2 3
2 7
1 9
1 4
1 8
3 2
(MICROGRAMS PER CUBIC METER) x 10-1
MIN
3 0
3 0
3 0
2
4
3
6
3
2 2
4
1
6
1 0
1
S
4
2 0
6
2
4
1 6
4 2
MAX
100
3 0,0
300
300
300
180
234
120
120
140
600
572
998
998
465
260
170
465
242
280
4 6
160
8 4
465
260
280
465
3
5 5
160
2
7
1 0
2 7
200
200
S 5
2 3
2 5
3
4
4
2
2 5
2 3
2 5
430
6 0
2 0
6 0
9 4
380
4 0
3
4 0
AVG
7 2
9 8
8 8
9 6
8 6
5 7
4 2
3 0
2 9
3 3
120
210
362
257
246
5 7
5 2
6 6
6 4
7 0
2 0
7-1
1 7
173
5 7
4 7
6 1
1
1 7
2 5
2
4
3
7 5
3 3
6
5
5
2
1
3
4
4
133
1 1
7
8
6
2 2
4
1
2
FREQUENCY DISTRIBUTION — PERCENT
10
2 9
4 3
32
6
7
5
4
1 0
3
S
24
1 8
103
20
1
1 3
1 0
13
5
4
2 1
1
1
13
5
1 0
2
7
1
1
29
1
2
1
1
50
1
1
20
32
50
4 7
32
10
1 6
5
11
8
5
4 3
6 3
189
7 4
1
2 3
1 8
2 3
1
18
5
28
3
1
2 3
1 1
17
3
8
1
2
32
1
2
2
1
1
2
1
6 7
2
1
1
1
1
30
4 3
6 7
6 5
4 8
3 1
1 8
1 0
1 3
1 1
7
6 7
8 3
210
137
8 9
30
2 4
3 0
1
2 8
8
3 2
4
7
30
1 7
2 5
1
5
1 0
1
3
50
1
2
2
2
1
1
1
1
2
1
7 7
1
4
2
1
1
1
40
7 7
7 1
70
6 3
4 0
4 0
1 5
16
12
1 1
8 2
142
281
182
8 9
3 6
28
36
7
37
18
37
6
9
3 6
2 3
3 1
1
7
1 1
1
3
1
7 7
1
3
3
3
1
2
1
1
1
2
2
8 9
1
5
4
1
1
1
50
8 3
7 5
77
9 1
6 7
4 8
3 0
2 1
1 8
1 8
8 9
182
314
235
158
4 1
3 2
4 2
7
4 5
2 1
6 7
1 1
8 9
4 1
2 9
3 9
1
8
1 2
1
2
4
1
8 2
1 0
3
3
3
1
2
1
1
2
3
2
98
2
6
6
2
2
1
60
89
8 9
9 0
9 5
7 7
5 4
3 5
2 4
2 4
2 6
114
249
350
281
375
4 9
58
5 3
7
4 8
2 1
7 7
1 2
158
4 9
37
4 7
1
1 8
1 5
1
2
4
1
87
21
6
4
4
1
3
2
1
2
3
3
137
2
9
8
2
2
2
70
9 4
95
9 4
9 9
9 4
6 3
4 5
4 0
4 0
3 7
124
281
433
315
375
6 1
6 7
6 6
9
5 0
2 3
108
17
243
6 1
5 0
6 1
1
2 4
2 1
1
2
6
1
9 2
5 0
6
6
6
1
3
2
2
3
4
3
166
7
9
9
3
2
2
2
2
80
9 6
103
9 9
103
101
77
4 8
4 7
50
5 4
133
325
578
414
467
77
7 7
87
9
103
24
114
1 8
375
77
72
85
2
2 8
2 8
1
3
7
6
9 5
82
7
8
7
2
3
3
2
6
6
6
174
9
10
10
4
3
2
2
2
90
101
201
103
203
210
166
148
58
77
58
243
478
720
531
467
111
8 9
137
243
158
3 7
119
2 8
467
111
114
119
2
3 7
4 3
1
3
9
1 5
100
9 5
1 8
1 2
1 7
3
4
3
2
7
g
8
210
9
1 0
20
5
6
3
2
3
-------
TABLE 24. VANADIUM—URBAN STATIONS
223
STATION LOCATION
CHICAGO ILL
EAST ST LOUIS ILL
EAST CHICAGO IND
DETROIT MICH
CINCINNATI OHIO
YOUNGSTOKN OHIO
MILWAUKEE WIS
MINNEAPOLIS MINN
KANSAS CITY MO
ST LOUIS MO
N E » ORLEANS LA
FT WORTH TEXAS
LAKEWORTH TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
DENVER COL
SALT LAKE CITY UTAH
ANCHORAGE ALASKA
LOS ANGELES CALIF
SAN FRANCISCO CALIF
PASADENA CALIF
SITE
1
1
1
2
2
2
3
4
1
2
1
2
3
4
1
1
1
1
2
4
5
1
1
1
2
3
4
1
1
2
1
1
1
1
1
-I
1
1
1
8
1
1
1
1
1
1
YEARS
54
5 5
54 55
5 4
5 5
54 55
5 5
5 4
5 b
54 55
55 56
55 56
55 56
55 56
55 56
55 56
55 56
55 56
53 54
5 4
5 5'
54 55
5 4
54
54
54
55
54 55
5 7
5 7
54 55
54 56
5 4
55 56
54 56
55 56
54 55
54 55
54 55
54 55
5 4
5 4
5 5
54 55
5 4
5 5
54 55
54 55
54 55
54 55
5 4
55 56
5 4
5 5
5 6
54 56
No. OF
SAMPLES
4
2 6
3 2
3 0
2 6
5 6
3
2 9
3 7
8 3
120
1 5
1 4
2 9
1 9
2 6
2 1
2 0
86
2 S
5 6
2 7
8 3
9
7
1 4
8 6
2 7
113
1 2
1 9
3 3
2 3
3
9
3 5
2 3
2 6
2 4
5 0
29
4
2 0
56
7 6
2 0
1 4
3 4
2 3
3 1
4 0
1 4
3 2
1 8
2 1
4
4 3
(M1CROGRAMS PER CUBIC METER) x lOr1
MIN
2
2
S
2
2
MAX
2
5 0
5 0
5 4
9 0
9 0
4
1 0
5 4
9 0
9 0
7
6
7
4 0
100
140
4 0
140
210
1 0
154
154
1 5
2
1 0
1 S
154
154
1 6
4 8
3 0
4 0
g
9
4 0
2 0
8
6
8
6
3 9
6
7
7
1 n
J. U |
1 0
1 0
7
4 0
6 3
110
2 0
1 5
2 0
7 0
7 0
AVG
1 3
1 1
3
1 8
1 0
i
4
2
1 1
9
3
2
2
1 3
1 9
3 1
1 0
1 B
2 8
7
2
3
1
3
1
7
2
7
2 0
5
8
Q
2
6
4
2
1
1 2
1
2
1
5
4
3
6
6
1 0
3
2
5
4 3
7
FREQUENCY DISTRIBUTION— PERCENT
10
2
1
1
1
1
2
1
2
1
3
1
1
1
1
1
1
6
1
2
1
1
1
20
4
2
2
^
1
2
1
2
1
1
7
1
4
1
2
1
1
1
1
1
4
8
1
1
1
1
1
1
3
1
2
2
1
1
2
1
30
5
4
4
1
2
3
1
2
1
2
8
3
7
2
5
1
1
1
1
1
1
1
5
9
1
2
1
1
2
1
1
1
1
1
1
3
2
2
3
1
1
3
2
1
40
1
7
6
1
8
1
2
1
5
2
3
2
2
9
6
8
3
7
2
2
1
1
1
1
1
2
1
6
10
1
3
1
2
2
1
1
1
3
1
1
1
4
2
2
4
1
1
1
1
4
4 7
1
SO
1
9
8
1
9
1
3
1
7
4
3
2
3
9
8
1 0
5
9
3
1
2
1
1
1
2
1
2
1
7
1 3
2
5
1
3
2
1
1
1
1
3
1
2
1
2
4
3
3
5
2
1
1
1
5
4 7
3
60
1
1 0
9
1
1 0
6
5
1
9
7
3
2
3
1 0
1 2
20
6
10
4
1
2
1
1
1
2
1
2
1
7
1 8
4
6
1
4
3
2
1
1
1
3
1
2
2
5
4
3
6
3
1
2
1
6
4 7
5
70
1
19
1 0
1
1 0
9
7
1
9
9
4
3
3
1 0
2 0
4 3
1 0
1 9
1 0
1
2
1
2
2
2
1
2
2
7
2 1
6
1 0
2
6
4
2
1
2
1
6
2
3
3
5
5
3
7
9
2
2
2
6
5 0
6
80
1
20
20
1
32
10
8
2
1 8
1 0
4
3
4
20
32
4 8
20
30
1 5
1
3
2
2
2
6
2
3
2
1 0
39
7
10
2
1 0
6
4
2
3
1
6
3
3
3
6
6
4
8
10
2
5
3
8
5 0
8
90
2
3 0
3 0
9
4 3
3 2
8
6
3 1
2 1
6
4
4
3 0
4 7
67
3 2
4 4
119
2
3
3
6
2
8
5
3
4
1 3
4 3
1 0
2 1
6
4
1 5
9
5
3
4
2
4 3
5
4
4
8
9
9
6
1 0
1 2
2 1
8
4
9
7 7
1 5
-------
224
TABLE 24. VANADIUM—URBAN STATIONS
STATION LOCATION
BERKELEY CALIF
SAN JOSE CALIF
SAN LEANORO CALIF
PORTLAND OREGON
SITE
1
1
1
1
1
1
1
1
1
2
5
4
^
YEARS
54 S S
54
55
56
54 56
55 56
5 4
5 5
54 55
5 4
5 4
54
54
5 5
54 55
5 7
No. OF
SAMPLES
3 4
3 5
1 2
2 0
5 7
3 0
3 0
1 9
3 9
1 5
1 0
1 0
5 5
1 9
7 4
2 0
(MICROGRAMS PER CUBIC METER) x 10"'
MIN
3
1
6
6
g
MAX
30
1 4
7
1 1
1 4
3 0
8 0
80
80
3 4
3 8
1 3
8 0
80
8 0
130
AVG
4
3
1
S
3
5
1 S
3 1
2 3
7
1 3
3
1 0
3 1
1 6
4 7
FREQUENCY DISTRIBUTION— «RCENT
10
2
2
1
10
5
1
1
1
1 0
1
^ ^
20
3
2
5
19
7
3
1
1
19
2
2 1
30
1
1
3
1
3
6
30
1 0
3
1 2
1
3
30
5
2 8
40
1
1
1
4
1
4
a
2 1
1 3
4
13
1
5
2 1
9
3 5
50
1
1
1
4
3
4
1 1
3 1
2 0
6
1 3
1
9
3 1
1 1
4 3
60
2
1
1
5
3
5
1 3
32
3 1
8
1 4
2
1 1
3 2
1 4
4 8
70
4
2
1
6
4
6
1 8
39
29
9
1 5
2
1 3
3 9
1 9
6 3
80
8
4
5
7
5
6
33
4 2
38
12
18
4
16
42
2 4
7 2
90
1 0
7
5
8
7
9
2 8
50
4 3
1 8
2 1
1 2
2 3
50
39
8 3
-------
TABLE 24. VANADIUM—URBAN STATIONS—TOTALS
225
STATE OR REGION
CONNECTICUT TOTAL
MASSACHUSETS TOTAL
NEW JERSEY TOTAL
NEW YORK TOTAL
PENNSYLVANIA TOTAL
DIS COLUMBIA TOTAL
KENTUCKY TOTAL
MARYLAND TOTAL
WEST VIRGINA TOTAL
FLORIDA TOTAL
GEORGIA TOTAL
TENNESSEE TOTAL
ILLINOIS TOTAL
INDIANA TOTAL
MICHIGAN TOTAL
OHIO TOTAL
WISCONSIN TOTAL
MINNESOTA TOTAL
MISSOURI TOTAL
LOUISIANA TOTAL
TEXAS TOTAL
COLORADO TOTAL
UTAH TOTAL
ALASKA TOTAL
CALIFORNIA TOTAL
OREGON TOTAL
WASHINGTON TOTAL
NEW ENGLND TOTAL
MID ATLNTC TOTAL
MID EAST TOTAL
SOUTH EAST TOTAL
MID WEST TOTAL
GRT PLAINS TOTAL
GULF SOUTH TOTAL
ROCKY M N T N TOTAL
PAC COAST TOTAL
GRAND TOTAL
YEARS
55 5 b
5 5
55 5 o
54 56
54 56
54 56
Si 55
5 7
SM 55
54 55
54 56
55 56
54 56
55 56
53 54
54 57
5 7
54 55
54 56
54 55
54 55
5 i 55
54 55
54 55
54 56
54 55
57
55 56
54 56
54 57
54 56
53 57
54 56
54 55
54 55
54 57
53 57
No. OF
SAMPLES
3 6
4 9
130
7 6
875
4 4
7 0
1 8
2 3
2 7
1 9
3 2
149
8 6
2 5
125
1 9
3 3
5 8
5 0
143
2 6
3 1
4 0
211
7 4
2 0
8 5
481
155
7 8
404
9 1
193
5 7
345
1689
(MICROGRAMS PER CUBIC METER! x 102
MIN
3 0
2
4 2
5
6
2
MAX
300
300
b 0 0
998
465
200
2 5
430
6 0
9 4
380
4 0
9 0
140
210
154
4 8
3 0
4 0
8
3 9
7
4 0
6 3
110
8 0
130
300
998
430
380
210
4 0
3 9
4 0
130
o 9 n
AVG
R 8
9 n
5 3
257
3 8
3 3
4
133
8
6
2 2
2
7
1 8
2 8
3
2 0
5
5
1
2
2
6
6
5
1 6
4 7
8 9
7 7
2 8
8
1 0
5
2
4
9
3 1
FREQUENCY DISTRIBUTION — PERCENT
10
3 2
7
5
2 0
1
5 0
1
1
1
6
1
1
1
1 1
2 1
1
1
20
4 7
2 9
1 0
7 4
2
1
6 7
1
1
1
1
1
2
1
8
1
1
1
2
1
2
8 1
32
4
1
1
1
1
1
1
1
30
b 5
4 0
1 5
137
4
1
1
7 7
2
1
1
1
1
5
1
1
9
1
1
1
1
2
3
1
1
5
2 8
4 9
1 0
1
1
1
1
1
2
1
1
40
7 0
6 0
2 2
182
g
1
2
8 9
4
1
1
1
2
7
2
1
1 0
1
2
1
1
2
4
1
1
9
3 5
6 6
1 8
2
1
2
2
1
3
2
3
50
7 7
7 2
3 4
= 3 5
1 8
1 0
2
9 8
6
2
2
1
3
9
3
1
1 3
2
2
1
1
2
5
2
2
1 1
4 3
7 5
3 0
4
1
3
2
1
3
4
5
60
9 0
9 1
A 4
281
2 9
2 1
3
137
8
2
2
1
5
1 0
4
1
1 8
4
3
1
2
3
6
3
3
1 4
4 8
9 1
4 3
6
2
5
3
2
4
5
8
70
9 4
9 7
5 5
315
3 9
5 0
3
166
9
3
2
2
7
1 9
1 0
2
2 1
6
5
2
3
3
7
9
5
1 9
6 3
9 6
6 3
1 6
2
8
6
2
5
8
1 6
80
9 9
102
8 2
414
5 5
8 2
6
174
10
4
3
2
9
30
1 5
3
3 9
7
9
3
4
4
8
1 0
6
2 4
7 2
101
109
4 7
3
1 0
9
3
6
1 2
3 7
90
1 u 3
204
131
531
9 6
9 5
8
210
2 0
5
6
3
2 0
4 4
119
7
4 3
1 0
1 0
4
5
5
1 0
1 2
9
3 9
8 3
200
231
9 3
5
2 9
1 0
5
8
2 8
b 4
-------
226
TABLE 24. VANADIUM— SUBURBAN AND NONURBAN STATIONS
STATION LOCATION
SUBURBAN
MIDDLESEX CNTY MASS
LAKEHURST N J
K A N A W H A CO W VA
HILLS80ROUGH CO FLA
FULTON CO GEORGIA
HAMILTON COUNTY OHIO
TONKA BAY MINN
DENVER COUNTY COLO
SALT LAKE CO UTAH
MULTNOMAH CNTY ORE
GRAND TOTAL
NONURBAN
PT WORONZOF ALASKA
SITE
1
1
1
1
1
1
1
1
1
1
1
YEARS
5 5
55 56
54 55
5 4
5 4
54 55
5 4
54 55
5 4
5 4
54 56
55 56
No. OF
SAMPLES
2 3
1 9
2 2
4
4
2 8
9
I 0
5
1 2
136
1 2
(MICROGRAMS PER CUBIC METER) x Ifr1
MIN
2
1
MAX
9 0
180
9
1 4
6
8 0
2
2 0
5
5
180
2 0
AVG
2 3
2 3
1
6
3
S
3
1
8
6
FREQUENCY DISTRIBUTION— PERCENT
10
3
1
1
20
7
2
1
1
2
30
8
3
1
1
1
1
1
3
40
9
5
1
4
1
1
1
1
1
1
3
50
1 0
8
1
4
1
1
1
1
1
1
1
5
60
1 9
8
1
4
1
1
1
1
1
1
2
7
70
2 0
1 0
1
8
2
1
1
1
Z
1
5
8
SO
•
4 3
37
3
8
2
2
1
2
3
1
9
8
90
5 0
S 4
4
1 5
6
9
1
2
5
1
2 1
1 0
-------
TABLE 24. VANADIUM—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10-'
227
STATION LOCATION
HATERBURY CONN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BOSTON MASS
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MU M
EVERETT MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
ELIZABETH N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
PAULSBORO N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CAMOEN N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
PERTH AMBOY N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
TRENTON N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
JERSEY CITY N J
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
NEW YORK N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
PHILADELPHIA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
BRISTOL PA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MU M
CHESTER PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PITTSBURGH PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
WILLIAMSPORT PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
.WASHINGTON DC
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M UM
YEARS
55 56
55
55
55 56
55 56
55 56
55 56
55 56
55 56
54 56
54 56
55 56
55 56
56
55 56
54 56
JAN
2
6 0
5 5
5 0
1
190
190
190
3
100
7 0
4 0
3
5 4
4 3
3 0
2
4 2
3 7
3 3
2
4 8
4 7
4 6
3
11
9
7
3
5 6
3 6
1 6
2
130
106
e a
4
572
355
6 6
2 0
448
99
4
3
2
1
200
200
300
FEB
2
100
100
100
2
100
8 5
7 0
3
300
113
1 0
2
67
4 2
1 7
4
150
88
1 3
3
120
7 4
35
1
8
8
8
2
140
7 6
1 2
3
230
150
110
6
640
315
1 9
1 6
330
117
9
1
4 2
4 2
4 2
1
5 3
53
53
3
2
1
3
8
5
4
4
100
5 0
1 6
MAR
4
200
112
7 0
4
200
140
6 0
3
200
120
6 0
3
180
7 6
3
234
108
4 5
3
5 3
36
1 3
4
9 1
46
1
50
5 0
5 0
4
600
252
2 8
5
590
363
2
1 4
110
55
3
1
2 8
28
2 8
3
4
3
2
1
7
7
7
1
2 0
2 0
2 0
APR
5
100
82
70
1
50
5 0
50
1
7
7
7
5
170
72
17
5
7 8
36
3
2
1 3
9
6
5
120
4 1
4
1
5
5
5
4
120
75
36
8
410
313
150
15
465
74
1
8
8
8
2
160
85
1 1
2
8
5
3
5
70
19
1
MAY
3
7 0
6 6
6 0
1
5 0
5 0
5 0
2
300
195
9 0
1
1 7
1 7
1 7
2
1 0
7
4
1
3
3
3
5
387
223
4
1 9
280
5 2
1
2
7
4
2
2
1 0
7
4
3
9
4
2
6
80
4 4
JUNE
3
7 0
46
3 0
2
60
4 0
20
3
7 0
4 6
30
1
Z 9
2 9
2 9
1
1 0
10
10
1
1 2
1 2
1 2
2
8 4
74
6 5
10
300
148
18
12
110
34
6
2
1 1
9
8
3
3
2
2
2
2
1
6
80
1 8
JULY
3
6 0
5 6
5 0
2
100
6 5
3 0
3
100
5 5
5
1
5
5
5
4
2 1
9
4
1
2 0
2 0
2 0
1
3
3
3
2
6
5
5
2
2 3
2 2
2 2
7
300
151
1 2
1 3
6 6
2 4
2
3 3
17
2
2
2 0
1 3
7
2
2
2
2
1
2
2
2
4
9 0
2 2
AUG
4
4 0
32
3 0
4
100
4 5
2
2
100
5 2
4
2
38
24
1 0
1
3
3
3
2
18
1 4
1 1
2
1 3
1 0
B
1
7
7
7
2
110
7 6
4 2
5
100
4 6
1 3
7 3
3 1
6
1
3
3
3
3
39
2 5
1 0
1
3
3
3
7
9 0
2 1
SEPT
1
7 0
70
70
1
200
200
200
2
3 0
2 0
1 0
1
4 8
48
4 8
3
2 2
1 7
1 2
1
89
8 9
8 9
6
290
116
1 6
1 0
8 3
32
1 3
4
1 8
9
5
4
3 2
1 7
7
2
3
2
2
3
4
4
4-
6
8 0
2 1
OCT
4
200
122
90
2
100
95
9 0
1
2 0
2 0
20
2
3 2
2 4
17
2
16
1 3
1 1
2
6 8
40
1 2
1
56
5 6
56
6
266
192
7 2
8
58
30
1 0
2
2 1
1 1
2
1
1 2
1 2
1 2
2
3
2
2
2
4
3
2
3
100
3 3
NOV
3
300
166
100
2
300
153
6
1
70
70
7 0
1
7 6
76
7 6
3
4 5
25
1 4
1
25
25
25
1
130
130
130
7
720
432
252
8
120
59
12
2
22
16
10
2
7
4
2
3
10
7
4
1
100
100
100
DEC
2
200
150
100
1
100
100
100
2
300
200
100
2
160
107
54
1
5
5
5
2
4 0
31
22
2
5 3
3 8
2 3
3
9 8
4 5
1 3
2
160
119
79
7
998
455
110
9
170
76
1 8
2
5 5
4 5
35
1
1 9
1 9
1 9
1
2
2
2
2
9
8
7
-------
228
TABLE 24. VANADIUM—URBAN STATIONS
(MICROGRAMS PER CUBIC METERI x Ifr'
STATION LOCATION
LOUISVILLE KY
NUMBER OF SAMPLES
MAX] MUM
AVERAGE
Ml N 1 M U M
BALTIMORE MD
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHARLESTON W VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TAMPA FLA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ATLANTA GA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHATTANOOGA TENN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
CHICAGO ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EAST ST LOUIS ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
EAST CHICAGO IND
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CINCINNATI OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
YOUNGSTOWN OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
MILWAUKEE HIS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
MINNEAPOLIS MINN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
KANSAS CITY MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M UM
ST LOUIS MO
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
NE1 ORLEANS LA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
YEARS
54 55
57
54 55
54 55
54 56
55 56
54 55
55 56
55 56
54 55
57
57
54 55
54 56
55 56
54 55
JAN
2
3
2
2
1
100
100
100
2
3
2
2
1
6
6
6
1
4
1 0
4
4
7
4
2
6
8 0
3 5
2
3
154
5 2
2
4 8
43
3 9
1
30
3 0
3 0
4
40
1 8
4
2
1 0
7
4
2
1
1
1
FEB
3
6
4
3
2
180
170
160
1
10
10
10
1
1 0
1 0
1 0
2
380
191
3
5
3
1
7
65
1 8
2
4
3
3
5
2 0
9
2
6
10
2
2
4 8
34
2 0
2
2 0
1 5
1 0
3
2 4
1 2
6
2
9
7
6
3
6
3
2
MAR
1
8
8
8
2
430
310
190
1
3
3
3
1
3
3
1
3
2
1
6
50
2 1
2
2
6
4
2
1 4
140
4 0
1 3
1 5
3
1
5
5
5
2
2 3
1 6
1 0
3
1 0
6
2
5
1 4
8
3
7
2
APR
5
3
1
3
2 6O
164
52
4
60
19
2
5
2
1
3
2
1
2
2
1
3
90
43
10
2
4
4
4
7
140
44
1 0
15
6
1
2
7
6
5
3
38
25
18
5
7
3
5
3
1
2
20
1 1
3
4
MAY
4
3
1
6 8
6 8
6 8
4
9
3
5
9 4
2 0
2
2
3
2
2
1 2
4 0
7
2
3
1
4
30
1 6
7
1 1
5
1
1
7
7
7
2
1 1
9
8
4
5
3
3
2
2
2
6
3
1
JUNE
4
1 8
7
3
100
7 6
4 2
3
20
7
2
2
1
1
2
2
2
20
10
4
3
3
2
2
6
30
12
19
6
1
1
S
5
5
3
2
3
10
4
2
2
2
2
6
4
JULY
1 3
2 3
5
2
130
9 6
6 3
2
6
5
5
2
2
2
2
3
2
1
2
2
2
14
1 0
1
1
4
4
4
1 0
1 0
2
8
3
2
9
8
7
2
1 3
10
8
2
1
2
2
1
6
8
2
AUG
1 3
7
2
3
140
9 1
4 9
1
9
9
9
2
7
4
2
1
1
1
1
4
2
1
9
1 0
2
4
3
2
2
5
8
4
2
9
2
2
1 3
1 0
7
2
7
6
6
5
2
j^
4
6
3
2
3
3
2
2
4
5
2
SEPT
1 2
2 5
4
1
9 4
94
9 4
1
1 0
1 0
1 0
3
5
4
3
4
2
2
2
8
6 0
9
3
3
1
7
2 0
8
2
1 2
2
1
4
4
4
2
4 3
2 6
10
4
4
2
2
1
2
2
2
1
3
3
3
4
4
1
ocr
6
7
3
2
3
10
4
1
4
4
4
1
4
4
4
5
40
9
16
30
7
1
6
20
9
3
8
1 0
2
2
1 6
1 3
10
1
9
9
9
3
7
3
1
2
2
2
1
3
3
3
4
8
2
NOV
1
4
4
4
2
10
5
2
2
2
2
1
3
3
3
3
13
30
11
2
6
4
3
8
50
11
1
3
7
4
2
2
10
8
7
1
10
10
10
3
4
3
2
5
2
—
DEC
-
6
19
4
1
20
20
20
1
3
3
3
1
20
20
20
2
3
3
3
8
54
16
3
4
3
2
8
35
1 2
2
6
7
2
1
30
30
30
1
1 0
10
10
2
9
7
6
3
4
2
-------
TABLE 24. VANADIUM—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x Ifr'
229
STATION LOCATION
HOUSTON TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BELLAIRE TEXAS
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
DENVER COL
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
MINIMUM
SALT LAKE CITY UTAH
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
ANCHORAGE ALASKA
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
SAN FRANCISCO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PASADENA CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE ,
MINIMUM
BERKELEY. CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN JOSE CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SAN LEANDRO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PORTLAND OREGON
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SEATTLE WASH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
YEARS
54 55
54 55
54 55
54 55
54 55
55 56
54 56
54 55
54 56
55 56
54 55
57
JAN
1
3
4
2
2
2
3
2
2
3
1 0
8
6
1
3
2 0
1 1
3
4
7 0
3 0
3
8
2
4
7
3
3
5
3
1
1
8 0
8 0
8 0
2
130
101
7 2
FEB
5
7
3
2
5
4
3
2
7
5
3
3
4 0
1 9
7
3
1 0
6
. 2
2
1
5
5 0
10
4
10
6
6
3
1
2
2
2
2
1 3
1 2
1 1
2
8 1
7 3
66
MAR
6
6
2
4
1 0
8
7
2
7
5
3
2
2 0
1 1
3
3
1 1
5
2
7
3
1
1 0
1 0
1 0
2
2
2
2
2
4
3
3
9
6 0
2 0
2
1
8 8
8 8
8 8
APR
4
3
1
2
5
5
5
2
5
2
2
6
5
4
8
63
1 5
1
5
5
5
4
10
6
3
2
1 3
6
2
1 4
7
1
3
3
3
4
20
11
3
2
23
17
1 1
MAY
8
5
1
3
6
4
1
2
3
3
3
2
1 0
6
3
4
1 9
6
3
8
3
1
5
8
4
2
5
5
2
1
4
4
4
3
16
8
2
3
7 2
5 0
3 4
JUNE
1 4
6
1
3
4
3
2
5
3
6
7
2
7
10
5
2
3
2
2
5
5
1
2
6
3
5
8
3
2
9
6
4
2
32
20
8
JULY
7
5
3
2
5
5
5
2
3
1
2
5
4
4
1
5
3
7
9
2
3
5
2
5
8
3
4
3 O
1 2
6
2
4 0
3 5
3 0
2
5 0
37
2 5
AUG
3
3
2
3
1 0
6
2
5
4
3
2
4
3
3
3
1 0
3
2
1
2
2
2
1
1
5
7
5
4
5
3
2
7
4 0
2 3
6
2
6 3
3 7
1 1
SEPT
6
7
3
2
3
2
2
2
2
3
2
2
2
3
3
3
3
2
3
2
4
1 5
8
4
3
1
6
1 1
4
1
4
4
4
5
5 0
3 0
1 0
3
4 2
3 2
1 9
OCT
6
4
1
4
2
1
2
4
3
3
2
6
4
3
3
3
1
3
3
1
6
2 0
5
4
2
4
5
2
3
7
6
6
2 1
80
1 3
1
50
50
50
NOV
9
2
2
2
2
2
1
6
6
6
2
8
7
6
1
3
3
3
5
a
2
5
30
10
7
10
3
7
10
6
2
20
29
8
DEC
7
3
1
3
7
4
2
2
4
2
3
9
6
5
3
3
1
1
1 0
1 0
1 0
4
27
7
6
5
1
1
5
5
5
-------
230
TABLE 24. VANADIUM—SUBURBAN AND NONURBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 1Q-!
STATION LOCATION
SUBURBAN
MIDDLESEX C N T Y MASS
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
M 1 N 1 M U M
LAhEHURST N U
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
KANAWHA CO it VA
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
MINIMUM
HAMILTON COUNTY OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
NONURBAN
PT WORONZOF ALASKA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YEARS
b 5
55 56
54 55
54 55
55 56
JAN
Z
9 0
4 9
9
2
4 0
3 7
3 4
I
1
1 0
1 0
1 0
FEB
1
9
9
9
1
1
1
1
3
3
1
1
MAR
2
7 0
3 9
9
3
5 B
2 1
2
2
1
2
1 1
b
6
1
1
1
1
APR
3
180
6 4
6
1
2
2
2
1
5
5
5
MAY
1
1 0
1 0
1 0
2
8
4
4
9
3
1
2
8
8
8
JUNE
3
5 0
2 4
3
1
1 0
1 0
10
3
3
JULY
2
5 0
3 0
1 0
1
3
3
3
3
2
4
2
1
7
7
AUG
3
7
5
2
1
3
3
3
4
5
1
2
3
2
2
SEPT
3
5 0
2 1
5
2
5
4
3
4
9
2
1
2
2
2
OCT
1
2 0
2 0
2 0
1
2
2
2
2
4
2
4
1
3
3
NOV
2
4 0
2 4
b
2
5 7
3 3
9
1
3
1
8
8
8
DEC
3
a o
2 U
2 0
1
1 b
1 b
1 b
1
2
8 0
6 0
4 0
20
2 0
20
-------
TABLE 25. ZINC—URBAN STATIONS
231
STATION LOCATION
WATER8URY CONN
BOSTON MASS
EVERETT MASS
ELIZABETH N J
PAULSBORO N J
CAMDEN N J
PERTH AMBOY N J
TRENTON N J
JERSEY CITY N J
NEW YORK N Y
PHILADELPHIA PA
ALTOONA PA
BRISTOL PA
CHESTER PA
ERIE PA
PITTSBURGH P «
WILLIAMSPORT PA
WASHINGTON DC
LOUISVILLE KY
BALTIMORE MO
CHARLESTON * VA
TAMPA FLA
ATLANTA G A
CHATTANOOGA TENN
CHICAGO ILL
EAST ST LOUIS ILL
SITE
1
1
1
1
1
1
1
1
1
1
1
2
3
1
1
1
4
5
6
7
1
1
1
1
1
1
2
1
1
1
2
2
2
1
4
1
1
3
4
4
1
2
4
1
2
YEARS
5 5
5 6
55 56
5 5
5 5
55 5 b
55 56
55 56
55 5 b
55 56
55 56
55 56
54 55
54 56
5 5
56
55 56
5 6
56
56
5 6
5 5
5 b 56
5 6
55 So
55 56
5 6
5 6
55 56
55 56
54
55
54 55
54
5 5
54 55
54
5 b
54 55
57
5 5
5 5
55 56
5 5
5 5
55 56
5 5
55 56
5 5
5-5
55
5 5
55
55 56
55 56
55 56
No. OF
SAMPLES
1 4
22
3 6
2 3
2 6
2 0
2 3
1 9
2 1
1 6
2 2
2 0
1 8
3 8
9 4
1 1
105
1 1
9
1 1
1 1
9 4
5 3
147
1 3
1 8
1 8
2 5
2 1
2 3
1 7
1 7
2 1
3 8
1 3
1 0
2 3
3 1
3 1
6 2
1 8
1 6
2 1
1 6
1 4
1 7
1 8
3 1
3 2
2 8
2 0
2 9
7 7
77
1 5
1 4
2 9
(MICROGRAMS PER CUBIC METER) x 1CH
MIN
4 0
6 0
4 0
7
1 1
3
1 6
6
6
1 4
3
1 0
1 2
6
6
4
1 0
4
1 0
3 0
7
7
7
70
2 0
2 0
MAX
~~t
4400
3900
4400
4 6
1100
290
180
350
2100
380
699
4600
4300
4600
370
180
370
2800
260
160
4400
370
4400
4400
110
580
390
100
550
130
140
540
170
540
180
100
180
540
170
540
170
4 0
70
3200
6 8
170
170
170
170
1900
4900
4700
4900
4900
3500
710
3500
AVG
1544
1355
1429
1 6
128
7 2
5 4
8 0
155
7 4
B 2
998
371
693
5 7
7 3
5 8
430
7 1
6 5
466
5 7
227
118
3 6
8 4
105
3 2
136
4 3
4 5
6 0
6 6
6 3
4 2
5 0
4 6
5 1
6 1
5 6
6 1
1 3
1 6
374
2 7
5 6
5 3
4 3
4 2
246
583
838
558
558
687
152
429
FREQUENCY DISTRIBUTION— PERCENT
10
4 4
6 3
6 3
7
9
9
1 3
6
5
4
4 1
2 2
2 9
12
1 5
1 3
3
1
1
1
1 2
9
12
1
7
6
1
2 2
5
20
13
1
1
6
1
1 3
1
1
7
1
10
10
6
4
2 1
4 4
10
2 1
2 1
90
22
29
JO
459
129
186
1
9
1 0
1 5
22
2 0
6
17
8 3
3 1
37
16
31
17
16
2 2
9
2 6
16
2 2
17
2 0
1 1
17
9
2 9
19
22
1
22
8
6
20
6
1
2 1
6
7
1
2 2
6
1 9
19
10
9
4 2
5 3
38
4 1
4 1
108
2 9
7 5
30
550
223
408
6
1 0
1 8
1 7
2 6
26
1 8
2 6
108
3 4
8 3
2 3
3 7
2 5
1 7
2 6
2 2
3 1
2 3
3 3
2 5
2 0
1 2
1 8
1 0
31
2 2
31
1
29
1 3
6
2 2
1 9
2
28
1 5
a
6
4 4
9
2 2
2 1
1 9
19
58
90
4 3
58
58
129
3 1
90
40
724
421
550
7
2 0
29
22
37
3 4
2 9
3 1
171
6 3
129
28
4 4
29
1 8
34
4 9
4 4
2 8
4 4
3 1
2 1
1 6
3 1
1 9
5 6
29
3 9
7
3 1
2 7
10
3 1
2 2
7
3 1
26
8
7
58
19
3 1
29
2 1
2 1
7 5
129
9 0
90
90
142
83
119
50
789
659
746
1 3
4 1
4 4
3 7
4 9
4 1
3 7
4 1
205
129
186
3 2
7 5
3 4
5 3
3 7
6 3
5 3
3 2
5 3
3 8
2 9
1 8
4 4
2 6
7 5
4 1
4 2
9
5 8
3 0
2 6
4 4
2 9
2 0
5 7
2 9
5 3
9
1 0
6 9
2 1
4 2
3 9
3 1
2 9
108
238
155
145
145
186
9 0
136
60
1356
945
1624
20
9 6
6 3
5 3
5 3
4 4
4 2
53
223
198
208
39
8 3
4 6
7 5
3 7
7 5
8 3
3 9
7 5
5 1
3 1
5 3
5 8
3 1
9 0
4 7
4 3
2 2
6 3
5 6
2 9
6 3
4 4
2 7
6 3
4 9
6 3
1 0
1 3
9 0
2 2
4 4
4 4
4 2
4 1
155
267
267
223
223
294
119
149
70
2331
2074
2139
2 2
108
9 0
6 9
7 5
6 3
4 4
7 5
867
223
267
6 0
9 0
6 B
320
5 3
9 0
9 0
6 0
9 0
7 4
4 1
6 0
7 5
4 4
155
5 3
4 7
3 1
7 5
6 9
3 1
7 5
5 8
3 1
7 5
6 1
7 5
1 9
2 0
186
4 4
5 3
5 3
4 9
4 6
178
383
505
309
309
383
142
186
80
2793
3070
2977
29
124
129
7 5
129
129
155
108
1132
245
867
8 6
108
9 0
659
119
119
155
8 6
125
108
4 4
6 3
155
5 8
267
6 0
5 3
90
119
90
5 3
8 3
7 5
6 3
9 0
8 6
8 3
21
22
459
4 9
119
6 3
5 8
5 8
285
520
1356
535
535
945
155
383
90
4009
3567
3512
4 1
223
155
146
155
155
171
146
009
320
1946
129
129
129
945
129
129
267
129
267
150
7 5
223
320
8 3
320
9 0
6 3
142
155
146
155
9 0
108
146
129
142
108
2 2
3 1
659
6 3
129
129
119
119
550
1624
3346
1785
1765
2793
459
945
-------
232
TABLE 25. ZINC—URBAN STATIONS
STATION LOCATION
EAST CHICAGO IND
CINCINNATI OH 1.0
YOUNGSTOWN OHIO
MILWAUKEE WIS
MINNEAPOLIS MINN
KANSAS CITY MO
ST LOUIS MO
N E * ORLEANS LA
FT KORTH TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
DENVER COL
SALT LAKE CITY UTAH
ANCHORAGE ALASKA
SAN FRANCISCO CALIF
PASADENA CALIF
SAN JOSE CALIF
SAN LEANDRO CALIF
PORTLAND OREGON
SEATTLE HASH
SITE
1
2
3
4
1
1
1
1
2
4
1
1
2
1
1
1
1
1
1
2
1
1
1
1
1
1
1
1
1
1
1
YEARS
55 56
55 56
5 b 56
55 56
55 56
5 5
5 7
57
54 55
55 56
55 56
55 56
55 56
54 55
54 55
54 55
54 55
5 4
55-
54 55
54 55
54 55
54 55
54 55
5 5
56
55 56
55 56
54 56
55 56
5 4
5 5
54 55
5 7
No. OF
SAMPLES
19
2 6
2 1
S 0
86
2 2
1 2
19
2 1
1 8
9
2 7
23
2 4
2 2
4 6
2 4
8
56
64
3 1
23
3 0
2 1
1 7
1 5
3 2
2 0
2 6
3 0
1
1 9
2 0
2 0
(MICROGRAMS PER CUBIC METER) x 1CH
MIN
7
7
9
7
7
6
5 3
2 5
1 0
6
8
1 0
760
1 0
1 0
4 6
MAX
4300
1300
1470
5000
5000
3400
320
140
9 0
2900
140
2900
420
100
430
430
4 0
110
300
300
9 4
290
280
642
30
60
6 0
70
690
950
760
890
890
170
AVG
639
244
311
336
343
576
128
4 5
3 0
238
2 4
167
144
1 4
3 0
2 2
8
3 2
5 3
4 9
2 5
7 9
6 6
7 2
5
1 1
8
3 3
6 7
160
760
243
269
7 8
FREQUENCY DISTRIBUTION— PERCENT
10
20
15
15
23
31
15
5 3
9
31
1
5
4 4
1
7
5
1
10
9
1
1
7
7
39
23
32
5 5
20
6 7
31
4 4
31
4 4
6 3
5 8
10
39
3
10
6 3
1
1
10
8
3
2 9
2 1
1
1
10
9
4 9
4 4
4 4
58
30
75
90
6 6
55
66
129
90
1
1 0
4 2
5
2 3
79
1
1
1
1
1
2 0
1 3
6
31
3 9
9
3
1
37
1 9
57
6 3
63
61
4O
119
108
72
59
7 7
186
108
1
2 1
53
9
37
8 6
2
1
1
1
5
3 4
2 3
7
50
4 3
10
1
4
1
28
22
63
90
90
66
50
171
163
8 3
6 3
104
320
115
5 3
2 9
6 3
1 0
4 4
108
3
5
5
1
6
3 1
2 9
1 3
58
5 3
1 9
1
5
3
3 0
37
79
789
155
155
72
60
186
186
90
8 3
142
408
122
56
3 1
7 5
1 0
58
142
6
9
7
5
6
4 9
4 6
1 3
6 3
6 1
22
1
6
4
31
4 4
9 0
789
186
285
7 8
70
323
245
122
1 O8
182
459
139
6 3
4 0
9 0
1 0
7 5
198
7
1 0
1 0
9
3 3
54
54
3 2
99
6 9
4 4
3
9
7
4 4
49
139
789
302
320
8 4
80
659
302
155
171
294
1070
205
8 3
4 3
9 9
20
9 9
223
10
2 9
21
10
22
62
62
4 4
115
119
6 3
10
10
10
50
6 3
155
789
383
550
90
90
1356
353
550
233
659
1356
323
129
5 3
223
32
155
294
6 3
4 4
4 4
3 1
119
139
129
8 5
155
146
186
30
4 4
2 2
6 3
9 0
489
789
605
659
119
-------
TABLE 25. ZINC—URBAN STATIONS—TOTALS
233
STATE OR REGION
CONNECTICUT TOTAL
MASSACHUSETS TOTAL
NEW JERSEY TOTAL
NEW YORK TOTAL
PENNSYLVANIA TOTAL
OIS COLUMBIA TOTAL
KENTUCKY TOTAL
MARYLAND TOTAL
WEST VIRGINA TOTAL
FLORIDA TOTAL
GEORGIA TOTAL
TENNESSEE TOTAL
ILLINOIS TOTAL
INDIANA TOTAL
OHIO TOTAL
WISCONSIN TOTAL
MINNESOTA TOTAL
MISSOURI TOTAL
LOUISIANA TOTAL
TEXAS TOTAL
COLORADO TOTAL
UTAH TOTAL
ALASKA TOTAL
CALIFORNIA TOTAL
OREGON TOTAL
WASHINGTON TOTAL
NEW ENGLND TOTAL
MID ATLNTC TOTAL
MID EAST TOTAL
SOUTH EAST TOTAL
MID WEST TOTAL
GRT PLAINS TOTAL
GULF SOUTH TOTAL
ROCKY MNTN TOTAL
PAC COAST TOTAL
GRAND TOTAL
YEARS
55 56
5 5
55 56
54 56
55 56
55 56
54 55
5 7
5 5
5 5
55 56
55 56
55 56
55 56
55 57
57
54 55
55 56
54 55
54 55
54 55
54 55
54 55
54 56
54 55
57
55 56
54 56
54 57
55 56
55 57
54 56
54 55
54 55
54 57
54 57
No. OF
SAMPLES
3 6
4 9
121
3 8
265
1 7
6 2
1 8
1 6
2 1
1 6
3 2
106
So
3 4
1 9
2 1
5 0
4 6
119
2 3
3 0
2 1
109
2 0
2 0
B5
424
113
6 9
245
7 1
165
5 3
170
1395
(MICROGRAMS PER CUBIC METERI x 10'
MIN
4 0
6
1 0
4
7
7
6
6
6
1 0
4 6
6
MAX
4400
1100
2100
4600
4400
140
540
170
4 0
7 0
3200
170
4900
5000
2400
140
90
2900
430
300
290
280
642
950
890
170
4400
4600
540
3200
5000
2900
430
390
950
5000
AVG
429
7 5
8 6
693
9 8
4 5
5 6
6 1
1 3
1 6
374
4 2
522
343
418
4 5
3 0
156
2 2
3 4
7 9
6 6
7 2
6 8
269
7 8
649
146
4 9
111
408
119
3 1
7 2
9 4
189
FREQUENCY DISTRIBUTION — PERCENT
10
6 3
1
10
2 9
9
2 0
1
1
7
4
27
2 1
3 1
9
1 0
1
10
9
1
1
2 2
5 5
6
10
1
3
1 9
9
1 0
1
5
20
186
6
16
37
17
22
6
7
1
22
9
4 2
4 4
6 3
10
2 6
4
2 9
2 1
1
4
4 4
58
10
17
8
7
4 2
19
1
27
8
10
30
408
9
2 2
8 3
2 3
3 1
1 5
8
6
4 4
1 9
7 5
6 6
90
1
1 0
4 2
1
6
31
2 9
9
9
6 3
6 1
2 1
25
1 8
1 0
6 4
28
e
30
1 8
2 1
40
550
13
30
129
29
39
2 6
B
7
58
2 1
102
77
124
1
2 1
56
1
10
50
4 2
10
2 1
90
66
4 0
3 1
2 6
2 0
8 4
39
7
4 6
3 0
30
50
746
2 1
4 0
186
3 8
4 2
2 9
t T
o :>
9
1 0
6 9
2 9
138
104
155
5 3
2 9
7 5
5
1 8
5 8
5 3
1 9
3 1
155
7 2
90
4 1
3 1
2 7
118
4 9
1 0
5 6
4 3
4 5
60
624
2 7
5 3
208
5 1
4 3
4 9
6 3
1 0
1 3
90
4 1
181
142
223
56
3 1
8 8
7
24
6 3
6 1
2 2
4 2
285
7 8
129
5 6
4 4
39
153
6 9
20
6 2
5 6
6 1
70
2139
4 1
7 2
267
6 6
4 7
6 1
*7 R
f D
1 9
2 0
186
4 6
297
182
383
6 3
4 0
108
1 0
4 1
9 9
69
4 4
5 3
320
8 4
459
7 7
5 5
5 1
236
6 6
29
7 3
7 1
8 6
80
2977
96
129
867
9 3
5 3
8 6
8-z
J
21
22
459
5 8
520
294
459
8 3
4 3
195
21
54
115
119
6 3
7 2
550
9 0
945
124
7 1
6 8
383
129
5 0
116
108
140
90
3512
1 ? 4
153
1946
171
6 3
142
108
?. 2
3 1
6 S 9
119
1731
659
1132
139
5 3
267
4 4
9 0
155
146
166
129
659
119
2793
219
129
155
1132
223
d 4
149
2 1 1
3u 1
-------
234
TABLE 25. ZiNC—SUBURBAN AND NONURBAN STATIONS
STATION LOCATION
SUBURBAN
MIDDLESEX CNTY MASS
LAKEHURST N J
KANAWHA CO W VA
DENVER COUNTY COLO
SALT LAKE CO UTAH
GRAND TOTAL
NONURBAN
PT WORONZOF ALASKA
SITE
1
1
1
1
1
1
YEARS
5 5
55 56
5 5
54 55
5 4
54 56
55 56
No. OF
SAMPLES
2 3
1 7
1 7
1 0
3
7 0
1 2
IMICROGRAMS PER CUBIC METER) x Ifr'
MIN
3
7
MAX
9 0
5 3
460
2 0
1 6
460
2 0
AVO
1 9
1 6
3 2
1 1
1 2
2 0
1 2
FREQUENCY DISTRIBUTION— PERCENT
10
1
5
1
1
20
8
6
1
7
3
30
9
7
1
3
7
7
7
40
10
8
1
9
7
8
8
50
1 9
1 0
4
1 0
1 3
1 0
1 0
60
20
1 3
4
1 3
1 3
1 5
1 0
70
2 1
2 2
9
1 9
1 3
1 9
1 0
80
23
2 8
18
20
1 3
2 1
20
90
4 4
2 9
2 0
2 1
1 8
2 9
2 0
-------
TABLE 25. ZINC—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10'
235
STATION LOCATION
1ATERBURY CONN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BOSTON MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EVERETT MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ELIZABETH N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PAULSBORO N J
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 MU M
CAMOEN N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
PERTH AMBOY N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
TRENTON N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M UM
JERSEY CITY N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
NEW YORK N Y
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
PHILADELPHIA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml M 1 M U M
ALTOONA PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
BRISTOL PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
CHESTER PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
ERIE PA
NUMBER OF SAMPLES
MAX! MUM
AVERAGE
MINIMUM
PITTSBURGH PA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MUM
YEARS
55 56
55
5 5
55 56
55 56
55 56
55 56
55 56
55 56
54 56
55 56
56
55 56
55 56
56
56
JAN
2
7 0
6 0
5 0
1
4 6
4 6
4 6
3
120
5 6
1 0
3
220
36
10
2
180
160
140
2
120
65
1 1
3
7 4
3 1
3
3 8
2 4
6
2
3 4
1 9
4
1 7
210
B 0
3
3
4 0
21
5
3
110
7 0
4 0
FEB
2
3100
1765
430
2
1 3
9
6
3
1100
382
6
2
1 0
1 0
1 0
4
8 2
7 3
6 9
3
140
85
4 7
1
2 8
2 8
2 8
2
180
9 8
1 7
3
150
122
87
3
1900
697
2 1
1 3
120
4 6
1
4 0
4 0
4 0
1
2 8
2 8
2 8
1
5 8
58
58
1
20
2 0
20
3
80
4 6
30
MAR
4
3100
1765
6 0
4
5
1
3
110
4 1
7
2
100
7 7
5 5
2
140
9 0
4 0
2
140
9 0
4 1
3
2100
761
4 3
1
130
130
130
3
6 9
50
2 7
1
140
140
140
1 3
110
£ 2
7
1
4 0
4 0
4 0
1
6 3
6 3
6 3
2
100
6 5
3 0
3
550
306
6 0
APR
5
3700
1356
4 0
1
1
20
20
20
5
130
73
18
4
66
36
17
1
17
17
17
4
140
74
1 4
4
699
199
23
4
4300
1210
9 3
13
120
53
14
2
3 0
25
2 0
1
47
47
47
2
380
210
40
3
80
50
MAY
3
1400
586
160
1
6
6
6
2
210
155
100
1
2 0
2 0
2 0
2
2 0
1 6
1 2
1
5
5
5
1
170
170
170
1 8
2800
217
3
6 0
3 6
2 0
2
1 3
6
2
6 8
3 4
2
1 0
5
JUNE
3
2500
1070
120
2
30
1 9
9
3
290
133
10
1
2 3
2 3
2 3
1
23
3 3
23
1
4 4
4 4
4 4
2
130
8 5
4 0
7
4600
861
2 7
13
310
139
9
2
250
128
6
1
40
4 0
4 0
3
310
146
60
JULY
3
2200
1123
400
2
2 0
1 3
7
3
110
4 6
1 0
1
7
7
7
4
18
1 3
8
1
100
100
100
1
6
6
6
2
3 8
36
3 4
2
17
1 0
3
4
330
133
39
1 3
3 7
19
2
66
4 2
18
2
5 2
35
18
1
1 0
1 0
1 0
2
2 0
1 0
AUG
4
710
527
300
4
3 0
1 5
2
2 0
1 0
2
150
8 0
1 0
1
1 6
16
1 6
2
350
290
230
2
38
38
38
1
2
9 3
9 0
8 8
4
3600
981
1 6
1 3
130
6 0
9
1
7 0
7 0
7 0
1
1 3
1 3
1 3
3
310
128
17
SEPT
1
3600
3600
3600
1
4 0
40
4 0
2
110
6 5
2 0
1
290
290
290
3
58
3 7
2 0
1
1 9
1 9
1 9
2
4500
3289
79
1 0
800
115
2
20
2 0
2 0
4
580
165
7
4
390
147
2 2
3
80
4 0
1 0
2
410
300
190
OCT
4
3800
1435
220
2
20
20
2 0
1
1 0
1 0
1 0
2
140
70
2
24
17
1 1
2
60
4 2
24
1
70
70
70
3
920
470
200
8
58
3 1
1 2
2
110
55
2
18
1 5
1 3
1
1 2
1 2
1 2
4
40
17
2
340
165
90
NOV
3
3900
2256
670
2
40
35
30
1
690
690
690
1
60
60
60
3
260
110
32
1
17
17
17
1
16
16
16
4
880
394
37
8
85
37
16
1
20
20
20
2
210
134
58
2
60
55
50
2
30
30
30
DEC
2
4400
3700
3000
1
30
30
30
2
100
90
80
2
87
58
30
1
52
52
52
2
4 7
4 2
37
2
4 6
33
21
3
380
196
29
2
38
28
1 8
5
220
116
6
9
4400
623
1 9
2
300
153
7
1
33
33
3 3
3
60
33
9
1
140
140
140
-------
236
TABLE 25. ZINC—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10-'
STATION LOCATION
WILLIAMSPORT PA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
WASHINGTON DC
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
LOUISVILLE KY
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
BALTIMORE MD
NUMBER OF SAMPLES
MAX 1 MUM
AVERAGE
Ml N 1 M U M
CHARLESTON * VA
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
TAMPA FLA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ATLANTA GA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U U
CHATTANOOGA TENN
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CHICAGO ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
EAST ST LOUIS ILL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
EAST CHICAGO IND
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
CINCINNATI OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
YOUNGSTOWN OHIO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
MILWAUKEE HIS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
MINNEAPOLIS MINN
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
KANSAS CITY MO
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
YEARS
55 56
55 56
54 55
57
55
55
55 56
55 56
55
55 56
55 56
55
57
57
54 55
55 56
JAN
1
4 0
4 0
4 0
2
3 0
2 1
1 2
1
86
06
8 6
2
1 3
1 1
9
1
3200
3300
3200
1
4
4
4
2
2 0
20
20
4
110
97
0 0
6
4300
984
9
2
9 0
7 5
6 0
2
7 6
6 7
5 8
1
3 0
3 0
3 0
4
8 0
3 3
10
FEB
3
56
4 0
1 9
2
6 0
5 0
4 0
3
100
6 3
2 8
2
5 0
2 5
1
. 1
2 0
2 0
2 0
1
8 0
8 0
8 0
5
5 0
3 2
20
3
1200
446
2 0
2
130
8 0
3 0
5
360
120
3 0
2
140
7 0
1
3 0
3 0
3 0
3
290
180
7 0
MAR
1
3 9
3 9
3 9
1
170
170
170
3
96
9 0
8 5
1
3 0
3 0
3 0
1
3
610
240
4 0
3
50
36
2 0
6
2000
468
4 0
2
2400
1255
110
1 4
5000
722
2 0
2
2400
2400
240 0
1
57
5 7
5 7
2
7 2
3 6
1
9 0
9 0
9 0
3
50
4 2
3 7
APR
2
4 4
35
27
1
5 0
50
5 0
1
120
120
120
3
170
125
65
3
1 0
9
7
2
980
492
4
2
6
4
3
3
550
363
10
2
290
230
170
7
250
144
6 4
2
970
665
360
2
120
103
86
3
120
4 0
1
20
20
20
3
100
36
MAY
3
9 3
6 7
30
3
4 0
3 3
2 0
1
5 4
5 4
5 4
1
3
10
5
2
7
3
1
400
400
400
3
170
104
38
8
4900
993
20
2
710
370
3 0
4
180
9 2
7
2
400
235
7 1
1
140
140
140
2
140
9 6
5 3
3
100
3 6
3
JUNE
2
1 8
1 1
5
2
70
50
30
3
160
60
3
55
4 8
4 3
2
20
14
8
1
20
20
20
1
4 0
4 0
4 0
1 1
3400
605
90
3
330
163
20
6
390
137
1 3
2
250
200
150
1
5 3
5 3
5 3
1
2
1 0
10
1 0
2
4 0
3 5
3 0
JULY
1
6 3
6 2
6 2
1
4 0
4 0
4 0
1 3
110
31
2
5 3
4 8
4 3
3
8
7
7
3
6
3
3
6 0
4 2
7
1
1 0
1 0
1 0
9
770
141
7
1
3500
3500
3500
1 0
510
153
7
2
440
370
300
2
110
110
110
2
6 2
3 1
2
7 0
4 0
1 0
AUG
1
2 9
2 9
2 9
3
5 0
36
2 0
1 3
140
4 1
3
64
38
1
1 0
1 0
1 0
2
30
3 0
30
1
7 0
7 0
7 0
4
4 0
3 2
8
6
1500
371
3 0
4
840
355
7 0
5
730
197
39
3
1100
416
3 0
2
320
210
100
2
6 0
3 0
5
4 0
26
1 0
4
220
9 0
2 0
SEPT
3
130
86
5 8
2
140
8 5
3 0
1 3
150
4 8
2
1
55
5 5
5 5
1
1 0
1 0
1 0
3
7 0
3 6
3 0
4
5 0
3 2
4
3900
1467
4 0
3
1700
730
6 0
7
1470
391
7
3
960
487
1 4
1
6 1
6 1
6 1
2
7 7
3 8
^
4 0
2 2
140
140
140
OCT
2
30
1 5
1
50
50
50
6
130
6 2
6
3
4 0
2 3
9
1
70
70
70
1
190
190
190
5
140
7 1
10
1 0
4700
901
4 0
1
3 0
30
3 0
6
600
259
7 4
1
180
180
180
2
190
190
190
1
•x
4 0
3 3
20
1
40
40
4 0
NOV
52
40
21
1
10
10
10
1
30
30
30
2
20
13
7
2
1
160
160
160
3
60
30
10
10
3000
404
40
2
140
125
110
8
480
147
15
2
1300
653
6
70
39
9
1
8 0
80
80
DEC
2
1 9
17
16
6
540
1S6
20
1
20
20
20
1
10
10
10
1
20
20
20
2
110
89
68
5
170
132
60
3
130
103
80
8
3000
429
20
2
690
545
400
1
50
50
50
1
2900
2900
2900
-------
TABLE 25. ZINC—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x Ifr'
237
STATION LOCATION
S T LOUIS MO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MUM
NEW ORLEANS LA
NUMBER OF SAMPLES
MAX! MUM
AVERAGE
Ml N 1 MUM
FT WORTH TEXAS
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
HOUSTON TEXAS
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 MU M
BELLAIRE TEXAS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
DENVER COL
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
SALT LAKE CITY UTAH
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
ANCHORAGE ALASKA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U U
SAN FRANCISCO CALIF
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml N 1 M U M
PASADENA CALIF
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
Ml M 1 MUM
SAN JOSE CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 MU M
SAN LEANDRO CALIF
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml M 1 M U M
PORTLAND OREGON
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
SEATTLE WASH
NUMBER OF SAMPLES
M A X 1 MUM
AVERAGE
MINIMUM
YEARS
55 56
54 55
54 55
54 55
54 55
54 55
54 55
54 55
55 56
55 56
54 56
55 56
54 55
57
JAN
2
100
7 0
4 0
2
1 0
9
8
2
20
1 5
1 0
3
9 4
4 2
1 2
2
5 0
4 0
30
3
140
7 3
3 0
3
1 0
5
2
5 0
4 0
30
1
20
2 0
2 0
3
310
153
6 0
1
760
760
760
2
100
9 2
85
FEB
2
420
255
9 0
3
4 0
22.
7
2
1 0
1 0
1 0
5
200
8 2
2 4
2
2 2
1 4
7
2
5 0
50
5 0
2
280
205
130
1
1 0
1 0
1 0
2
6 0
30
2
50
25
2
3 0
1 9
8
1
110
110
110
2
85
74
6 3
MAR
3
1 0
4
2
7
3
6
57
28
6
3
3 7
2 0
7
2
130
100
7 0
2
7 0
55
4 0
2
1 0
1 0
1 0
2
1
4 0
4 0
4 0
2
1 0
5
2
8 0
7 0
60
3
360
136
1 0
1
8 5
8 5
6 5
APR
2
280
180
ao
4
30
11
2
5
2
4
7
3
2
7
5
3
2
120
90
60
2
60
34
9
8
642
168
7
1
3
3
3
3
65
40
27
1
47
47
47
1
60
60
60
1
20
20
20
2
68
6 1
55
MAY
3
200
126
5 0
4
30
1 1
a
3
i
5
110
6 5
4 9
2
4 0
20
2
110
8 5
60
2
20
2 0
2 0
2
5 0
4 3
3 6
3
4 0
17
5
3
30
2 3
1 0
3
S 0
4 3
10
1
50
50
S 0
3
110
8 1
6 5
JUNE
2
140
105
7 0
4
2
4 0
2 5
10
6
54
4 1
6
2
50
27
5
2
100
6 5
30
6
50
29
9
4
22
1 0
2
2 0
12
4
2
30
18
7
3
50
25
7
3
540
345
150
2
67
64
6 1
JULY
2
190
100
1 0
6
430
88
2
7
220
5 0
2
11
5
2
6 0
6 0
6 0
2
7 0
55
4 0
S
10
4
3
7 0
5 3
30
3
41
3 3
19
4
ISO
75
10
2
150
115
8 0
2
6 0
5 3
4 6
AUG
3
320
280
260
4
9
4
2
3
57
30
6
3
2
30
30
30
2
1 0
9
8
1
2
3
5 1
4 1
35
4
120
72
4 0
7
630
335
4 0
8
84
7 0
56
SEPT
1
6 0
60
60
4
100
2 5
2
6
300
131
22
3
1 1
1 0
10
2
30
20
1 0
2
130
125
120
3
9
3
2
50
4 5
4 0
2
200
160
120
1
80
80
80
5
280
146
60
3
170
101
58
OCT
1
100
100
100
4
60
1 S
2
6
94
28
6
4
90
67
6
2
100
5 3
6
2
70
65
60
1
10
10
10
3
30
10
2
20
15
10
1
55
55
55
3
490
223
40
1
890
890
890
1
110
110
110
NOV
3
200
110
50
5
20
5
2
30
18
7
9
140
33
5
2
24
14
5
1
110
110
110
2
160
110
60
1
5
20
4
2
50
30
10
7
950
274
50
DEC
2
110
100-
90
3
60
2 9
7
2
40
ao
7
110
4 3
6
3
9 3
39
11
2
290
265
240
3
120
83
60
1
1 0
1 0
10
1
20
20
20
3
690
257
3
1
40
4 0
40
-------
238
TABLE 25. ZINC— SUBURBAN AND NONURBAN STATIONS
(MICROGRAMS PER CUBIC METER) x Ifr1
STATION LOCATION
SUBURBAN
MIDDLESEX CNTY MASS
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N | M U M
LAKEHURST N J
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
KANAWHA CO W VA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
DENVER COUNTY COLO
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
Ml N 1 M U M
NONURBAN
PT WORONZOF ALASKA
NUMBER OF SAMPLES
MAXIMUM
AVERAGE
MINIMUM
YEARS
5 5
55 56
5 5
54 55
55 56
JAN
2
4 0
2 5
1 0
2
2 3
1 5
7
1
1
2 0
2 0
2 0
FEB
1
1 0
i 0
1 0
1
7
7
7
3
460
157
4
1
2 0
2 0
2 0
MAR
2
5 0
3 5
2 0
2
3 1
1 b
5
2
2 0
1 8
1 7
1
2 0
2 0
2 0
1
1 0
i 0
1 0
APR
2
5 3
3 0
7
1
9
9
9
1
2 0
2 0
2 0
MAY
1
9
9
9
2
1 0
6
3
2
8
4
2
1 0
8
7
JUNE
3
20
6
1
30
3 0
3 0.
1
2 0
2 0
20
JULY
2
2 0
1 1
3
1
8
8
8
3
1
1 2
1 2
1 2
1
AUG
3
2 0
1 1
5
1
2
2 0
1 2
5
SEPT
3
2 0
1 6
9
2
1 2
1 0
8
2
1 0
5
1
1 0
1 0
1 0
ocr
i
2 0
2 0
2 0
1
S
8
8
g
1 4
7
2
3
1
1
1 0
1 0
1 0
NOV
2
30
3 0
30
2
30
2 5
20
1
1
20
2 0
20
1
DEC
3
9 U
3 6
d
1
1 9
1 9
1 9
1
4
4
-'
1
2 0
2 0
2 0
1
d
d
a
-------
TABLE 26. SILVER—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10-1
TABLE 27. ARSENIC—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 1
-------
240 TABLE 26. SILVER—SUBURBAN STATIONS
(MICROGRAMS PER CUBIC METER) x ICT*
TABLE 27. ARSENIC—SUBURBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 1(H
STATION LOCATION
SUBURBAN
LAKEHURST N J
K A N A It H A COUNTY W VA
HILLSBOROUGH CO FLA
FULTON COUNTY GA
HAMILTON COUNTY OHIO
TONKA BAY MINN
SALT LAKE CNTY UTAH
MULTNOMAH CNTY ORE
GRAND TOTAL
YEARS
5 5
5 4
5 4
5 4
54 55
54
5 4
5 4
54 55
No. OF SAMPLES
ANAL
c
6
f.
7
3 6
9
5
1 2
8 1
BROW
MINIMUM
DETECTABLE
QUANTITY
2
6
4
7
3 5
9
5
1 2
8 0
MAX
10
10
STATION LOCATION
SUBURBAN
LAKEHURST N J
KANAHHA COUNTY » VA
HILLSBOROUGH CO FLA
FULTON COUNTY GA
HAMILTON COUNTY OHIO
TANKA BAY MINN
SALT LAKE CO UTAH
MULTNOMAH CNTY ORE
GRAND TOTAL
YEAIS
55
54
54
54
54 55
5 4
5 4
5 4
54 55
No. OF SAMPLES
ANAL
3
6
4
8
3 6
9
5
1 S
5 S
BROW
MINIMUM
DETECT ABU
QUANTITY
z
3
3
4
1 8
7
2
6
4 5
MAX
4 2
1
4
6 3
1
8
6
6 3
-------
TABLE 28, BERYLLIUM—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10°
TABLE 29. COBALT—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x Ifr3
241
STATION LOCATION
WATERBURY CONN
BOSTON MASS
EVERETT MASS
ELIZABETH N J
PAULSBORO N J
CAMDEN N J
PERTH A M B 0 Y N J
TRENTON N J
JERSEY CITY N J
NEW YORK N Y
PHILADELPHIA PA
ALTOONA P »
BRISTOL PA
CHESTER PA
ERIE PA
PITTSBURGH PA
WILLIAMSPORT PA
WASHINGTON 0 C
LOUISVILLE KY
BALTIMORE M D
CHARLESTON W V A
TAMPA FLA
ATLANTA GA
CHATTANOOGA TENN
CHICAGO ILL
EAST ST LOUIS ILL
EAST CHICAGO INO
DETROIT MICH
CINCINNATI OHIO
YOUNGSTOWN OHIO
MILWAUKEE W 1 S
MINNEAPOLIS MINN
KANSAS CITY MO
ST LOUIS MO
NEW ORLEANS LA
FT WORTH TEXAS
LAKEWORTH TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
DENVER COLO
SALT LAKE CITY
ANCHORAGE nLASKA
LOS ANGELES CALIF
SAN FRANCISCO CALIF
PASADENA CALIF
BERKELEY CALIF
SAN JOSE CALIF
SAN LEANORO CALIF
PORTLAND OREGON
SEATTLE WASHINGTON
GRAND TOTAL
YEARS
55 56
55
5 5
55 56
55 56
55 56
55 56
55 56
55 56
54 56
54 56
5 6
55 56
55 56
5 6
5 6
55 56
54 56
54 55
57
54 55
54 55
54 56
55 56
54 55
55 56
55 56
53 54
54 55
57
5 7
54 55
54 56
55 56
54 55
54 55
5 4
54 55
54 55
54 55
54 55
54 55
5 4
55 56
54 56
54 55
54 56
55 56
54 55
57 57
54 57
No. OF SAMPLES
ANAL
3 6
2 3
2 6
2 i
2 5
2 1
2 3
1 7
2 3
7 5
157
1 3
1 8
1 8
2 5
2 1
2 3
4 6
7 1
1 8
2 7
3 1
2 5
3 2
120
2 9
8 6
3 3
169
1 1
1 6
3 6
4 0
2 3
5 0
3 3
5
7 9
3 5
3 6
3 1
3 8
1 8
3 2
4 8
•3 5
5 9
3 0
7 4
2 0
2014
BROW
MINIMUM
DETECTABLE
QUANTITY
3 6
2 3
2 6
2 1
2 5
2 1
2 3
1 7
2 3
7 0
152
1 3
1 8
1 8
2 5
2 1
2 3
4 5
6 8
1 8
2 3
3 0
2 4
3 2
117
2 9
8 6
2 7
108
1 1
1 6
3 4
3 7
2 3
5 0
3 2
5
7 7
3 3
2 5
3 1
3 7
1 5
3 2
4 6
3 3
5 9
3 0
7 0
2 0
1901
MAX
3
5
1
5
1
2
1
1
1
4 0
1
2
2
3
2
3
1
1
1
1
8
4 0
STATION LOCATION
WATERBURY CONN
BOSTON MASS
EVERETT MASS
ELIZABETH N J
PAULSBORO N J
CAMDEN N J
PERTH AMBOY N J
TRENTON N J
JERSEY CITY N J
NEW YORK N Y
PHILADELPHIA PA
ALTOONA PA
BRISTOL PA
CHESTER PA
ERIE HA
PITTSBURGH PA
WILLIAMSPORT PA
WASHINGTON D C
LOUISVILLE KY
BALTIMORE MD
CHARLESTON W VA
TAMPA FLA
ATLANTA GA
CHATTANOOGA TENN
CHICAGO ILL
EAST ST LOUIS ILL
EAST CHICAGO IND
CINCINNATI OHIO
YOUNGSTOWN OHIO
MILWAUKEE WIS
MINNEAPOLIS MINN
KANSAS CITY MO
ST LOUIS MO
NEW ORLEANS LA
FT WORT" TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
DENVER COLO
SALT LAKE CITY UTAH
ANCHORAGE ALASKA
SAN FRANCISCO CALIF
PASADENA CALIF
SAN JOSE CALIF
SAN LEANDRO CALIF
PORTLAND OREGON
SEATTLE WASH
GRAND TOTAL
YEARS
55 56
55
5 5
55 56
55 56
55 56
55 56
6 5 56
55 56
54 56
55 56
5 6
55 56
55 56
56
56
55 56
55 56
54 55
57
55
5 5
55 56
55 56
5 5
55 56
55 56
5 5
5 7
57
54 55
55 56
55 56
54 55
54 55
54 55
54 55
54 55
54 55
54 55
55 56
55 56
55 56
55 56
54 56
57
54 57
No. OF SAMPLES
ANAL
3 6
2 3
2 6
3 0
3 3
1 9
3 1
1 6
2 1
3 9
147
1 3
1 8
1 8
3 5
2 1
3 3
1 7
6 3
1 8
1 6
3 1
1 6
3 2
77
3 9
e e
2 3
1 2
1 9
2 1
3 7
2 3
4 6
2 4
6 4
3 1
3 3
2 6
1 3
3 2
1 9
2 5
3 0
2 0
2 0
1381
BROW
MINIMUM
DETECTABLE
QUANTITY
3 4
2 1
2 2
2 0
3 3
1 9
2 1
1 6
20
3 8
119
1 3
1 8
1 8
2 5
2 1
2 3
1 7
6 2
1 8
9
2 0
1 6
3 2
7 0
2 8
7 8
3 3
1 3
1 9
2 1
2 6
2 3
4 6
2 3
6 3
3 9
2 1
3 3
1 3
3 2
1 6
2 5
3 0
1 0
2 0
1295
MAX
6
4
5
2 0
4
8
7
5
5
6
1 0
4
3
6
5
6
7
5
5
1 0
-------
242 TABLE 28. BERYLLIUM—SUBURBAN AND
NONURBAN STATIONS
(MICROGRAMS PER CUBIC METER) x_ ID0
TABLE 29. COBALT—SUBURBAN AND
NONURBAN STATIONS
(MICROGRAMS PER CUBIC METER! x TO:3
STATION LOCATION
SUBURBAN
MIDDLESEX CTNY MASS
LAKEHURST N J
KANAWHA COUNTY W VA
HILLSBOROUGH CO FLA
FULTON COUNTY GA
HAMILTON COUNTY OHIO
TONKA BAY MINN
DENVER COUNTY COLO
SALT LAKE CTNY UTAH
MULTNOMAH CTNY ORE
GRAND TOTAL
NONURBAN
PT WORONZOF ALASKA
YEARS
5 5
55 56
54 55
5 4
5 4
54 55
54
54 55
5 4
5 4
54 56
55 56
No. OF SAMPLES
ANAL
2 3
i 9
Z 3
^
6
3 5
9
1 0
C
1 2
146
1 Z
saow
MINIMUM
>ETECTABLE
QUANTITY
Z 3
I 9
Z 3
3
6
2 4
9
1 0
5
1 Z
134
1 2
MAX
1
4 0
4 0
STATION LOCATION
SUBURBAN
MIDDLESEX CTNY MASS
LAKEHURST N J
KANAWHA COUNTY W V A
DENVER COUNTY COLO
GRAND TOTAL
NONURBAN
PT tVORONZOF ALASKA
YEARS
5 5
55 56
5 5
54 55
54 56
55 56
No. OF SAMPLES
ANAL
2 3
1 1
1 7
i 1
6 e
1 S
BELOW
MINIMUM
DETECTABLE
QUANTITY
S 1
1 1
i i
i i
6 6
1 2
MAX
5
5
5
-------
TABLE 30. MOLYBDENUM—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 1Q-*
TABLE 31. ANTIMONY—URBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10-3
243
STATION LOCATION
WATERBURY CONN
BOSTON MASS
EVERETT MASS
ELIZABETH N • J
PAULSBORO N J
C A M 0 E N N J
PERTH AMBOY N J
TRENTON N J
JERSEY CITY N J
NEW YORK N Y
PHILADELPHIA PA
ALTOONA PA
BRISTOL PA
CHESTER PA
ERIE PA
PITTSBURGH PA
(MLLIAMSPORT PA
WASHINGTON D C
LOUISVILLE KY
BALTIMORE MD
CHARLESTON * VA
TAMPA FLA
ATLANTA GA
CHATTANOOGA TENN
CHICAGO ILL
EAST ST LOUIS ILL
EAST CHICAGO IND
CINCINNATI OHIO
YOUNGSTOWN OHIO
MILWAUKEE WIS
MINNEAPOLIS MINN
KANSAS CITY MO
ST LOUIS MO
NEW ORELEANS LA
FT WORTH TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
DENVER COLO
SALT LAKE CITY UTAH
ANCHORAGE ALASKA
SAN FRANCISCO CALIF
PASADENA CALIF
SAN JOSE CALIF
SAN LEANDRO CALIF
PORTLAND OREGON
SEATTLE WASH
GRAND TOTAL
YEAJB
55 56
5 5
5 5
55 56
55 56
55 56
55 56
55 56
55 56
54 56
55 56
56
55 56
55 56
5 6
56
55 56
55 56
54 55
57
5 5
5 5
55 56
55 56
55
55 56
55 56
5 5
57
57
54 55
55 56
55 56
54 55
54 55
54 55
54 55
54 55
54 55
54 55
55 56
55 56
55 56
55 56
54 56
57
54 57
No. OF SAMPLES
ANAL
3 6
2 3
S 6
2 0
2 3
1 9
2 1
1 6
2 1
3 9
147
1 3
1 8
1 8
2 5
2 1
2 3
1 7
6 2
1 8
1 6
2 1
1 6
3 2
7 7
2 9
86
2 3
1 2
1 9
2 1
2 7
2 3
4 6
2 4
6 4
3 1
2 3
2 6
1 3
3 2
1 9
2 5
3 0
2 0
2 0
1381
BELOW
MINIMUM
JETECTABLl
QUANTITY
3 6
2 3
2 3
2 0
2 3
1 9
2 1
1 6
2 1
3 9
138
1 3
1 8
1 8
2 3
5
2 1
1 7
56
2
1 4
2 1
1 6
3 2
5 6
2 9
50
2 2
1
5
2 1
2 7
2 2
4 6
2 2
6 3
86
1 2
2 4
1 3
3 2
1 9
2 5
3 0
1 8
1 7
1230
MAX
1
3
1
8
1
1
1 0
4
2
16
1
8
4
1
1
2
1
4
1
1
3
8
STATION LOCATION
WATERBURY CONN
BOSTON MASS
EVERETT MASS
ELIZABETH N J
PAULSBORO N J
CAMDEN N J
PERTH AMBOY N J
TRENTON N J
JERSEY CITY N J
NEW YORK N Y
PHILADELPHIA PA
ALTOONA PA
BRISTOL PA
CHESTER PA
ERIE PA
PITTSBURGH PA
WILLIAMSPORT PA
WASHINGTON D C
LOUISVILLE KY
BALTIMORE MD
CHARLESTON W VA
TAMPA FLA
ATLANTA GA
CHATTANOOGA TENN
CHICAGO ILL
EAST ST LOUIS ILL
EAST CHICAGO INO
CINCINNATI OHIO
YOUNGSTOWN OHIO
MILWAUKEE WIS
MINNEAPOLIS MINN
KANSAS CITY MO
ST LOUIS MO
NEW ORLEANS LA
FT WORTH TEXAS
HOUSTON TEXAS
BELLAIRE TEXAS
DENVER COLO
SALT LAKE CITY UTAH
ANCHORAGE ALASKA
SAN FRANCISCO CALIF
PASADENA CALIF
SAN JOSE CALIF
SAN LEANORO CALIF
PORTLAND OREGON
SEATTLE WASH
GRAND TOTAL
YEARS
55 56
55
55
55 56
55 56
55 56
55 56
55 56
55 56
54 56
55 56
56
55 56
55 56
56
56
55 56
55 56
54 55
57
55
55
55 56
55 56
5 5
55 56
55 56
55
57
57
54 55
55 56
55 56
54 55
54 55
54 55
54 55
54 55
54 55
54 55
55 56
55 56
55 56
55 56
54 56
57
54 57
No. OF SAMPLES
ANAL
36
2 3
26
2 0
2 3
19
2 1
1 6
2 1
39
147
1 3
1 8
1 8
2 5
2 1
23
1 7
6 2
1 8
1 5
2 1
1 6
3 2
77
29
86
23
1 2
1 9
21
27
23
4 6
2 4
6 4
31
23
2 6
1 3
32
1 9
2 5
30
2 0
20
1380
Baow
MINIMUM
DETECTABLE
QUANTITY
36
2 0
2 2
30
2 3
1 9
1 9
1 6
2 1
3 9
142
1 3
1 8
1 0
2 5
2 0
2 3
1 7
6 1
1 5
1 5
2 1
1 6
3 2
6 9
28
7 2
2 3
1 2
1 8
2 1
2 7
2 3
4 5
2 4
6 3
2 9
2 1
2 6
1 3
3 2
1 9
2 5
3 0
80
i 9
1330
MAX
50
100
180
270
6 0
5 0
67
100
30
200
130
90
5 0
40
50
72
270
-------
244 TABLE 30. MOLYBDENUM—SUBURBAN AND
NONURBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 1O2
TABLE 31. ANTIMONY—SUBURBAN AND
NONURBAN STATIONS
(MICROGRAMS PER CUBIC METER) x 10]
STATION LOCATION
SUBURBAN
MIDDLESEX CNTY MASS
LAKEHURST N J
KANAIVHA COUNTY W VA
DENVER COUNTY COLO
GRAND TOTAL
NONURBAN
PT WORONZOF ALASKA
YEAtS
5 5
55 56
55
54 55
54 56
55 56
No. OF SAMPLES
ANAL
2 3
1 7
1 7
1 1
6 8
1 2
BROW
MINIMUM
)ETECTABU
QUANTITY
2 3
1 7
1 7
1 1
6 8
1 2
MAX
STATION LOCATION
SUBURBAN
MIDDLESEX CTNY MASS
LAKEHURST N J
KANAWHA COUNTY * VA
DENVER COUNTY COLO
GRAND TOTAL
NONURBAN
PT tfORONZOF ALASKA
YEARS
5 5
55 56
55
54 55
54 56
55 56
No. OF SAMPLES
ANAL
23
1 7
17
1 1
6 8
1 2
BELOW
MINIMUM
DETECTABLE
QUANTITY
1 7
1 7
1 7
1 1
6 2
12
MAX
6 0
60
-------
245
STATISTICAL INTERPRETATIONS
LOG-NORMALLY OF FREQUENCY DISTRIBUTIONS
Frequency distributions of values obtained from the analysis
of large numbers of samples are in general highly skewed.
However, it has been found that, in many instances, the
logarithms of the values are approximately normally distribut-
ed. The true description of the distributions is admittedly
quite complex due to contributing factors such as variations
in weather, sampling, and the composition of the atmosphere,
yet this empirical approximation is quite useful in the analysis
of air quality data. Evidence of this tendency toward log-
normality is obtained quite easily by plotting cumulative fre-
quency distributions on logarithmic probability graph paper,
on which the ordinate is logarithmic and the abscissa is pro-
portional to the normal probability distribution functions.
Concentrations, in this report usually expressed as micrograms
per cubic meter of air, are plotted as ordinates against the
percentage of samples not greater than such concentrations
as abscissae. In this report such percentage values are deciles.
There are available from this report nine pairs of values for
each distribution which may be plotted to test the hypothesis
of log-normality. The hypothesis is then accepted or rejected
depending on how well the points fit a straight line.
One indication of how well a straight line fits the set of
nine points (i.e. how nearly log-normal a distribution is) can
be obtained by comparing the geometric mean and the
median. The geometric mean, which is the antilog of the
arithmetic mean of the logarithms, can be estimated from the
graph by reading the value of the 50% intercept of the line.
The median is merely the 50 percentile value. A necessary,
but not sufficient, condition for log-normality is that the
geometric mean and the median are equal. In assessing the
goodness of fit of the straight lines to the plotted points and
the correspondence of the plotted 50% decile points (the
medians) to the 50% intercepts of the lines (the geometric
means) it should be noted that the process of computing the
decile values, previously explained, rounds off concentration
values to the nearest whole number. Thus, points should be
plotted only as whole numbers on the graph.
As an example of the log-normal character of the two most
significant distributions developed in this report, the cumu-
lative frequency distributions of suspended particulate levels
for all urban sites and for all nonurban sites in the United
States for the years 1953-57, inclusive, are shown in Table F
and plotted therefrom on Fig. 11. These distributions exhibit
characteristics of log-normality.
A comparison of distributions represented by two such
straight lines can be made by comparing their geometric
means and their standard geometric deviations, the values of
^which are determined from the slopes of the two lines. The
standard geometric deviation is the ratio of the 84.13 percent
value to the geometric mean. It is also expressible as the
antilog of the standard deviation of the logarithms.
The standard geometric deviations for the urban and non-
urban distributions are almost identical, but the geometric
means differ significantly. The vertical distance between the
two lines represents the difference between urban and non-
urban pollution. If the latter be considered as a baseline, the
difference represents pollution attributable to urban activities.
A line which represents that difference has been plotted as
a dashed line on Fig. 11.
The log-probability plot can be used to estimate pollutant
concentration occurring with specific frequencies and the
, '*—URBAN MIHLIS
/ HOUURBAR /
I 0.10.2 0.5 I 2 6 10 20 30 W 60 60 70 80 90 95 96 99 99.699.9 99.8
$ OF SAMPLES EQUAL TO OR L£S3 THAU STATED WICR08RAHS PER CUBIC METER
Fig. 11. Cumulative Frequency Distribution—Suspended
Particulate Matter, All Urban and Nonurban
Stations, 1953-1957
TABLE F. NATIONAL TOTALS 1953-1957
Suspended Particulate Matter —
Frequency Distribution
Urban
Nonurban
Difference
No. of
samples
9410
511
Min.
9
3
Max.
3112
460
Av.
163
40
10
62
13
49
20
82
13-
64
30
99
23
76
40
117
27
90
50
136
33
103
60
158
38
120
70
186
45
141
80
224
54
170
90
295
72
223
-------
246
frequency of occurence of various 24-hour average pollutant
concentrations by extrapolation beyond the 10% and 90%
deciles to cover the desired range. Thus the minimum and
maximum sample values for the approximately 1500 day
sampling period represented by the urban data may be
estimated from Fig. 11. The values corresponding to the
frequency of occurrence of 1/1500 (i.e. 0.067% and 99.933%)
are 19 and 980,K.g/m3 respectively. The fact that the minimum
and maximum values shown in Table F differ from the pre-
dicted values has two possible explanations:
1. The predicted values are in fact actually the means of a
range of values, the width of which depends upon the con-
fidence limits assigned to the prediction so that the lower
limit of the minimum range and the upper limit of the maxi-
mum range would more closely approach the observed
maximum and minimum values. 2. There is the possibility
that out of about 10,000 samples, one might have been grossly
contaminated with extraneous particulate matter to cause the
maximum observed and another might have represented less
than 24 hours to cause the minimum observed.
It should further be noted that the arithmetic mean (i.e.
average) concentrations shown in Table F (163 and 40/xg/m3)
are greater than the median (50% decile) values (136 and
33/tg/m3, respectively). This relationship is usual for asym-
metric frequency distribution in which the longer tail lies
toward the higher values.
COMPARISON OF DAILY, WEEKLY, AND
BIWEEKLY RANDOM SAMPLING SCHEDULES
In Philadelphia the high volume sampler located at site 1
(City Hall Annex) was operated more or less continuously
during 1955 and 1956 and a total of 596 samples was col-
lected; 289 in 1955 and 307 in 1956. From this complete set
TABLE G. COMPARATIVE STATISTICS FOR
DAILY WEEKLY, AND RANDOM SAMPLING
SUSPENDED PARTICULATE
Site 1 Philadelphia, Pa. 1956
(Concentrations in micrograms per cubic meter)
Daily Weekly
OBSERVATIONS
Number of samples
Minimum
Maximum
Percentiles—10
20
30
40
50
60
70
80
90
COMPUTED VALUES
Geometric mean
95% Confidence limits of mean
Standard deviation of logs
(% of mean)
Standard geometric deviation
Upper 90% confidence limit
of 95th percentile
307
68
761
128
148
167
184
200
217
234
271
325
44
99
449
137
160
188
206
217
232
260
289
395
25
136
308
146
160
171
184
191
203
227
274
285
200 223 203
192-208 199-248 183-226
6.8
1.54
363
6.7
1.44
450
4.7
1.39
346
of samples, a smaller sample was selected for each yea
according to a random schedule prepared in the manne
previously described. This produced a set of 25 values fo
each year, one less than the number prescribed, due to a shu
down during the sampling period. The set of values selectee
differed from a true random sample in that the starting tim<
of the sampler was more or less the same. This deviatioi
from a truly random sample should not alter the results
Simiarly, another set consisting df 44 values was selectee
from the 1956 data following a weekly schedule in which al
observations selected were for the same day of each wee*
(Tuesday).
Using the level of total suspended particulate matter a
statistical comparison was made between daily, weekly, and
biweekly random sampling for 1956. The results of this
comparison are presented in Table G. For reasons already
noted statistical analysis was performed on the logarithms of
observed values, thus mean concentrations are presented in
the form of geometric means.
I-WEEKLY SAHPLIWG —
-DAILY SAMPLIH6
.01 O.IC.Z 0.6 I 2 5 1C ZO 30 W 50 M 70 80 90 95 98 9i
I OF SAMPLES EQUAL TO Ofi LESS THAU STATED HICR06AAMS PER CUBIC fETER
>.8 99.9 99.99
Fig. 12. Cumulative Frequency Distribution—Suspended
Particulate Matter, Philadelphia, Pa ,
Site 1, 1956
The cumulative frequency distributions for the three differ-
ent samples for 1956 are plotted on logarithmic probability
graph paper, Figure 12. As would be expected on theoretical
grounds, due to the larger sample the set of daily observations
is more nearly log-normally distributed than either of the
smaller samples; nevertheless, the smaller samples exhibit
log-normal characteristics. Weekly sampling results in a
higher estimate of the geometric mean concentration than
does daily sampling, 223 compared to 200 /ig/nr1 but the
difference is not significant by a "t" test. Other sampling
statistics, with the exception of the standard geometric devia-
tion, were found to be higher for the weekly sample. Recalling
that the weekly observations were always made on the same
day of the week, it is probable that these results have been
biased by daily variations in source strength. For example, if
local sources emit greater quantities of particulate matter on
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247
Tuesday (the day selected for this comparison) than on other
days of the week, the results would depend largely on the
day selected. A random method of selecting observations
should at least tend to minimize this effect. The estimate of
the true geometric mean computed from the 25 random
observations was in this instance approximately equal to the
estimate provided by daily sampling, 203 compared to
200ju,g/m*. Likewise, other sampling statistics computed from
the biweekly random sample, with the exception of the
standard geometric deviation, were found to deviate only
slightly from those computed for the daily sample.
Based on this rather limited comparison it would seem that
weekly sampling (at least sampling on the same day of each
week) is less desirable than random sampling, even though
the latter be on a biweekly basis.
The above analysis was based upon a comparison of
sampling methods for one year only. Conditions do not change
so greatly from year to year to prohibit analysis of successive
years of ^samples. Fortunately, a two year comparison of
biweekly random and daily sampling was possible for Phila-
delphia for the years 1955-56. Results are presented in Table
H and Figure 13. Estimates of the geometric mean concen-
tration for the two sampling methods are 192 for biweekly
random and 200 for daily sampling. The percentile values
also agree quite well.
TABLE H. COMPARATIVE STATISTICS
FOR DAILY AND RANDOM SAMPLING
SUSPENDED PARTICIPATE
Site 1 Philadelphia, Pa.
1955 1956
(Concentrations in micrograms per cubic meter)
of particular contaminants. For this purpose the 95th per-
centile value (i.e. the concentration exceeded 5% of the
Daily
Biweekly
Random
OBSERVATIONS
Number of samples
Minimum
Maximum
Percentiles—10
20
30
40
50
60
70
80
90
COMPUTED VALUES
Geometric mean
95% Confidence limits of mean
Standard deviation of logs
(% of mean)
Standard geometric deviation
Upper 90% confidence limit
of 95th percentile
596
56
761
123
146
161
178
198
218
237
275
321
200
194-206
6.8
1.43
370
50
56
308
134
146
162
182
194
217
232
264
282
192
175-211
6.4
1.40
350
10
' BI-WEEKLY SAKPLII
-DAILY SAMPLING
Another test of the reliability of a selective method of
sampling is the ability to detect unusually high concentrations
I I I I I I I I I I I I I I LJ U I_L_
0.01 0.10.2 0.6 I I E 10 20 30 40 50 GO 70 80 90 96 98 99 99.6 99.9
t OF SAMPLES EOU*L TO OR LESS THAN STATED MICftMRUO PER CUBIC «TER
Fig. 13. Cumulative Frequency Distribution—Suspended
Particulate Matter, Philadelphia, Pa.,
Site 1, 1955-1956
time), is of particular interest. Toward thrs end the upper
90% confidence limit of the 95th percentile was computed
using the 1955-1956 data following a method by Eisenhart,
Hastay, and Wallis (12) which makes use of the sample
mean and standard deviation. The limits were found to be
350 jug/m3 for the biweekly random sample as compared to
370 for the larger daily sample; a difference of only 6%.
Thus, one can say with 90% confidence, that under environ-
mental conditions existing at sampling site 1 for 1955 and
1956, hot more than 5% of the 24-hour total suspended
particulate concentrations exceeded 350 /j.g/m' when calcu-
lated from 50 samples randomly selected.
The Network is designed to show patterns of air pollution
over a period of more than one year. For example, sampling
over a four year interval would produce more than 100
samples which should yield data almost as valid as that
obtained by daily sampling with over three times as many
samples limited to any one year but which may have been
somewhat abnormal as compared with other years. The prob-
ability of such abnormality influencing the results of sampling
decreases as the number of years data; included increases.
Grouping data in this manner is valid as long as there are no
substantial changes in source strength.
Considering the objectives of the Network, it is therefore
concluded that sufficiently reliable measures of air pollution
in a specific area may be obtained by sampling on a limited
random basis and that the additional accuracy to be gained
by daily sampling is not sufficient to justify the increased
operating costs.
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249
ANALYTICAL METHODS
SAMPLES
Twenty-four hour samples of suspended particulate matter
are collected on weighed 8 x 10 inch flash fired glass fiber
filters using a high volume sampler designed for this type of
filter medium. The samples are equilibrated overnight at
75° F and 50% R.H. The filters are then weighed to the
nearest milligram. The total volume of air filtered is deter-
mined by multiplying the sampling time in minutes by the
average sampling rate in cubic meters per minute, this
sampling rate being taken as the average of the initial and
final flow rates. The weight of the sample in micrograms
divided by volume of air in cubic meters gives the suspended
particulate level in /xg/m3.
Preparation for chemical analysis (Fig. 14)
A First cut sample into halves, one of which is set aside
for the extraction of organic matter.
B. Trim the edges from the second half.
C. Using a die 1%" in diameter, cut out six circles from
the trimmed half sample. The remainder, which represents
26% of the original sample, may be used for the spectro-
graphic determination of metals.
D. The circles, each of which represents 4% of the original
sample, are used as follows: Two circles are extracted and
used for the determination of sulfates, nitrates and pH.
The remaining circles may be used for the determination
of fluorides, arsenic, ammonia, etc.
EXTRACTION OF ORGANIC MATTER SPECTROGHAPHIC DETERMINATION DETERMINATION OF
OF METALS SULFATES, NITRATES,FLUOI
Fig. 14. Division of Sample for Analysis
RADIOACTIVITY
From October 1953 to May 1957 radioactivity measure-
ments (13, 14) were made by counting a 1% inch circle from
each filter in an internal proportional counter. The circle, cut
at random from the filter, was placed in an aluminum count-
ing dish, treated with conducting fluid (anstac) and, after
drying overnight, counted for two four-minute periods.
Since May 1957 gross beta activity of the weighed sample
has been measured using the entire 8 x 10 inch filter. The
samples are counted after they are two days old to allow
decay of the natural alpha and its associated beta-gamma
activity. The samples are recounted after four to seven days
to establish the decay in terms of apparent half-life of the
radioactive materials. From these measurements, self-absorp-
tion and efficiency factors, the volume of air sampled, and
the weight of dust collected, the gross beta activity in
micromicrocuries per cubic meter of air on the date of sample
collection and the decay rate expressed as the half-life begin-
ning from the date of the first count, are determined.
Instrument
The counting apparatus consists of a proportion gas flow
counting chamber and pre-amplifier (Nuclear Measurements
Corporation Model PCC-12) having a thin (0.9 mg/cm2)
metal coated plastic window (Mylar), a conventional sealer
(Nuclear-Chicago Model No. 181A Decade), and timer (Nu-
clear-Chicago Dual Timer Model Tl). The piston of the
counter chamber was replaced with a steel plate. The plate
is covered with aluminum foil for ease of decontamination.
The sample is placed on the plate which is 5 mm. below the
thin-window.
Calibration
A. Calibrations for determining the plateau and instrument
performance:
A sample of uranium oxide placed on a 2" diameter stain-
less steel planchet covered with 7 milligrams per square
centimeter of aluminum foil to shield out alpha activity, was
used as a secondary standard for determining the plateau
and making daily calibrations. These calibrations were made
three times a day to be assured that the instrument was
performing properly. Including a background of 500 cpm
the standard had an activity of 10,400 counts per minute.
Sources of radium D + E plated on stainless steel and covered
with 7 mg/cm2 of aluminum foil as well as standard solutions
of thallium-204 obtained from the National Bureau of Stand-
ards and deposited in counting pans are used as primary
standards for determining counter efficiency of internal and
thin-window proportional counters.
B. Initial determination of the counter efficiency.
A thin source of TI204 having an area of 18.1 cm2 was
counted in an internal proportional counter having a geometry
factor of 0.50 and a backscatter factor of 1.31 or an overall
efficiency of 0.655 cpm per dpm. The same source centered
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250
5 mm below the thin-window (7.5" diam.) counted 86 per
cent of the internal proportional counting rate, i.e. 0.86 x
0.655 or 0.563 cpm per dpm.
A point source of TI204 (2 mm diam.) was counted at
different radial positions.-directly under the center of the
'window and out to beyond the periphery of the window in
four directions. The plotted results of these four sets of data
indicated excellent agreement for a given radial distance but
a diminution of the counting rate as the source approached
the window periphery.
The results of these tests show the effective counting area
to be only 41.9 square inches as compared to the total sample
area of 63.0 square inches of sample. Thus the ratio of the
effective counting area to the total sample area is 41.9/63.0 =
0.665.
C. Filter absorption and self-absorption:
An estimation of the filter absorption was obtained from
concurrent collections of air particulates on glass fiber filters;
and membrane filters with equal filtering rates. The membrane
filters were ignited to remove the possibility of filter absorp-
tion while the glass fiber filters were treated with conducting
fluid and air dried prior to counting both types of samples
in an internal proportional counter. From 88.7 to 92.0 or an
average of 90.3 percent of the membrane filter activity was
recovered on glass fiber filters.
Due to the absorption of radiation by sample solids on the
filter a self-absorption correction is made. The self-absorption
correction factor is as follows: 1.04 for a 0 .6 gm sample,
1.12 for a .6 1. gm sample, 1.22 for a 1. 1.6 gm sample,
and 1.36 for a 1.6 2.4 gm sample.
Counting Procedure
The chamber is pre-flushed at high rate with P-10 gas for
about one hour. Proper flushing is ascertained by counting
the background and a secondary standard to determine
whether these have changed from the day before. Low back-
ground or standard counts indicate insufficient flushing and
.high background indicates contamination. Very little trouble
due to contamination has been experienced, even though
some of the samples appear to contain loose dust. This pro-
cedure is repeated at the end of the day or when all the day's
samples have been counted.
The filter is placed on the plate of the counting chamber
which is then placed in the proper position in the chamber.
Two counts of two minutes each are taken. In the event the
two counts do not agree, a third count is made. A similar
count is made after a lapse of four to seven days.
Calculation of Radioactivity
A. To find the radioactivity of the sample:
1. Obtain the average gross counts per minute using
the results of the two-minute counts.
2. Subtract the cpm of background from the average
cpm of the sample to find average net cpm.
3. Correct for counting efficiency and filter absorption.
dpm - net cpm x 1/.563 x 1/.665 x 1/.903.
dpm = distintegrations per minute
I/.563 = correction for efficiency = I/.86 x I/.655
1/.665 = effective counting area correction
1/.903 = filter absorption factor
4. Convert dpm to ^ curies.
dpm/2.22 = total /^c
5. Correct for volume of air sampled.
/^c/V = wc/m3 (uncorr.)
V = volume of air sampled in cubic meters
6. Correct for self-absorption of sample.
wc/m3 (uncorr.) x Fs = wc/m3 (corr.)
Fs = self-absorption factor (see Section C under Cali-
bration) .
B. To find average half-life of radioactive isotopes in the
sample:
1. On semi-log paper plot net cpm against counting
date. The count is plotted on the log scale and the days
between the two counts on the linear scale.
2. Draw a straight line through the two points.
3. Find the point on the line where the net cpm is one-
half that found when the sample was first counted.
4. Drop a vertical line to the base. The number of days
from the date of the first count to this point is the
average half-life of the radioactive isotopes present in
the sample.
C. To find radioactivity on date of sample collection:
Samples having an apparent half-life of less than ten days
are corrected for decay to the date of collection by extra-
polating a plot of the decay results on log-log paper. This
extrapolation is based on the assumption that the Way-
Wigner formula, ATk = constant, is valid and an assumed
date of bomb debris formation which provides values for k
between 1.1 and 1.2. (Log-log plots of decay data of high level
bomb debris usually follow the theoretical negative exponen-
tial decay rate of 1.2 rather closely, while low level or 10 or
more day old activity have decay slopes less than 1.2 but
rarely less than 1.0.) If the half-life is greater than ten days,
the results of the two counts are plotted on semi-log paper
and the activity of the sample determined by extrapolating
back to the date of collection. The radioactivity data present-
ed in Table 4 show activities on the date of sample collection
determined in this manner.
An Estimate of the Reliability of the Radioactivity Data
This is somewhat variable depending on many factors such
as the age of the bomb debris when first counted, the number
of days from collection to date.of first count and the counting
error which is a function of the counting rate For bomb
debris less than 5 days old and relatively high activity it is
possible that the extrapolated value could be off by a factor
of 2 because fractional parts of a day are not considered For
materials having an age of 10 days or more the determination
should be within 10 percent of the correct value For low
activity in the order of 1000 cpm/sample, the raw cotmdne
error at the 95 percent confidence level may be estimated tn v,
1.96/2 (1500 + 500) i = 44 cpm or 4.4 percent, whereas the
error of a sample counting 500 cpm or equal to the ba V
ground would be 1.96/2 (1000 + 500) * = 38 cpm or 7 6 ner"
cent. F
-------
ORGANIC MATERIALS
Selection of a Solvent for Removing Organic Matter
Several solvents have been used for removing organic
materials from air paniculate samples. The choice of solvent
is determined by the interest of the individual investigator.
Extraction with acetone will result in the removal of more
organic matter from the sample than would the extraction
with benzene, cyclohexane, ethyl ether, chloroform, etc., but
the extracted material will not completely redissolve in any
one solvent. Benzene and cyclohexane extracts redissolve
readily and are well suited for infrared examination. Poly-
cyclic compounds are effectively removed by benzene or
cyclohexane extraction. Chloroform is a very satisfactory sol-
vent which removes only slightly less material than acetone.
When using acetone or ethanol, considerable inorganic mate-
rial will also be removed. This is a disadvantage and must be
considered when choosing a solvent. No single solvent will
remove all of the organic materials from the filter.
From 1953 through June, 1955, acetone was used to remove
the organic materials from all samples. The major interest
during that time was in the determination of atmospheric
protein levels. Use of acetone as a solvent resulted in the
removal of maximum amounts of non-protein materials which
could have interfered with the protein measurement. The
extracts obtained by this procedure were difficult to handle
when used for further chemical studies, and also contained
considerable inorganic matter. Therefore, the use of this sol-
vent was discontinued at the end of the protein study. Since
July 1, 1955, all samples have been extracted with redistilled
benzene which, while it does not remove all of the organic
material present in the sample, does provide a more useful
product for further analyses.
Benzene extraction is routinely carried out in a closed
system at less than 80 degrees C liquid temperature. The
residual benzene is routinely driven off in an oven at 60
degrees C. This procedure retains substances less volatile than
benzene and rejects those more volatile. For selected samples
where it is desired to retain substances more volatile than
benzene, the substances are recovered chemically from the
benzene at room temperature. It has been found that, appar-
ently because of absorption on the particulates on the filter
or on the filter fibers themselves, this latter technique recovers
substances that would normally be expected to be volatile at
air and filter temperatures at the time of collection, which
temperatures in the southwest in summer can run as high as
50 degrees C.
Extraction of Organic Materials
A. Fold or roll the sample into a bundle to prevent loss
of material during the extraction procedure and to allow it
to be easily introduced into the extractor. Tie bundle with
fine copper wire.
B. Place the sample in a Soxhlet extractor and extract with
the desired solvent for a minimum of 7 hours. A 7 hour
rapidly cycling extraction removes over 95% of the soluble
materials.
C. Concentrate the extract to a small volume (5 ml.) by
evaporation. This can be done by using a closed distillation
251
system or simply by heating very cautiously on a hot plate
in a well ventilated hood.
D. Filter the concentrated extract through a medium poro-
city Corning fritted filass filter into a weighed test tube or
flask using a Fisher Filtrator or similar apparatus. Wash
the original container and filter at least twice with small
amounts of chloroform. Small volumes of chloroform effi-
ciently remove the organic materials and prevent accumu-
lation of organic matter in the filter which may clog the
pores. This procedure enables one to filter several samples
in sequence with no chance of contamination.
E. The remainder of the solvent is removed by heating in
an oven maintained slightly below the boiling point of the
solvent. All electrical controls of the oven must be outside
the oven or an explosion may result due to sparking of the
controls. The solvent may also be removed "in vac" but
boiling may occur, resulting in loss of material.
F. Weigh the test tube after the last of the solvent has been
removed.
Analysis of Organic Matter
Examination of the crude organic materials obtained by
the above procedure by infrared spectroscopy often provides
useful information. This material may also be used for sub-
sequent fractionation and detailed analysis.
INORGANIC CONSTITUENTS
Approximately 750 samples collected in 1953 and 1954
were analyzed by the Kettering Laboratory of the University
of Cincinnati Medical School. The following procedures were
used:
Spectrographic Examination (15)
A portion of the sheet 6.3 square inches, or 10 percent of
the area exposed to the air , was refluxed for 10 to 20 hours
with 40 ml. of 1:1 nitric acid. The distintegrated glass fibers
were filtered off and washed thoroughly with hot water. The
filtrate was evaporated to small volume and was then adjust-
ed with distilled water to the volume of 10 ml. in a glass-
stoppered pyrex cylinder. Five ml. of this solution was re-
moved to a second glass-stoppered pyrex cylinder, 1 ml. of
a cobalt standard was added, and the volume was adjusted
to 10 ml. with distilled water. This solution was subjected to
flame spectrography for the determination of magnesium,
copper, sodium, iron, maganese, potassium, and strontium.
This method was used for copper only when high concentra-
tions of the metal were present. One ml. of the remainder of
the 10 ml. volume of solution originally prepared was then
mixed with 1 ml. of a spectroscopic buffer salt solution. The
mixture was evaporated to the volume of 1 ml., 0.2 ml. por-
tions in duplicate were introduced into the craters of purified
graphite electrodes and were burned in a d.c. arc for the
spectrographic determination of lead, tin, vanadium, titanium,
silver, and copper. The solution which remained after the
sample had been prepared for spectrographic analysis was
retained for purposes of checking the result, if necessary.
486455 O -58 -17
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252
Sulfate
A portion of the filter (1.5 square inches in area, or 2.4
percent of the total area) was boiled with dilute nitric acid
and bromine water. The total quantity of sulfate was deter-
mined from a turbidimetric measurement of the quantity of
sulfate that was precipated by the addition of barium chloride
to the filtered solution.
Nitrate and Chloride
Another 1.5 square inch section of the sheet was refluxed
with 20 ml. of water for 1 hour. The solution was filtered and
a portion of the filtrate was used for the determination of its
content of nitrate by the 2-4 xylenol method (16). A portion
of the remaining solution was used to determine chloride con-
tent. The method was a turbidimetric one (17) in which the
amount of silver chloride precipated by the addition of silver
nitrate was measured.
Fluoride
A section of the sheet (5 square inches in area, or 7.9 per-
cent of the exposed area) was used for the determination of
fluoride. The piece was placed in a platinum dish covered
with .50-1 gm. calcium hydroxide and, after heating to dry-
ness, was ashed at 590° C. The mass was then distintegrated,
and the fluorine was distilled from the sample according to
the method described by Willard and Winter (18). The
fluorine in the distillate was determined by the back-titration
technique using standardized solutions of alizarin, thorium
nitrate, and sodium fluoride, as recommended by Dahle,
Bonnar, and Wichmann (19).
Asenic
A portion of the sheet (5 square inches, or 7.9 percent of
the exposed area) was analyzed for arsenic by a polargraphic
method (20).
Beryllium
A separate piece of the filter (6.3 square inches, or 10 per-
cent of the effective area) was digested with sulfuric acid
and hydrogen fluoride, until the silicate was decomposed. The
soluble residue which remained was then analyzed for berylli-
um, spectrographically (21).
Since July, 1955, all analyses for inorganic constituents
have been carried out by Network laboratory personnel us-
ing the following procedures:
Water Soluble Constituents
A. Extraction of water soluble materials from the sample
1. Place an 8% aliquot (2 \%" circles) of the air
particulate sample in a 125 ml. flask, add 50 ml.
distilled water.
2. Reflux 1J/2 hours. Cool.
3. Filter through Whatman No. 1 paper.
4. Repeat the extraction using 10-15 ml. water and
heating only a few minutes without a condenser.
5. Filter the solution through the same filter washing
the flask and filter until the total volume of filtrate is
80 ml. Mix the filtrate thoroughly. Store in a clean rub-
ber stoppered bottle.
6. This solution may be used for the determination of
chlorides, nitrates, sulfates, pH and other water soluble
materials. Each ml. of the solution is equivalent to .\%
of the sample.
Note: A 4% aliquot of the sample may be extracted
giving a final volume of 40 ml.
B. Sulfates
1. Reagents.
a. 10 N hydrochloric acid: Dilute 80 ml. of concen-
trated acid to 100 ml. with distilled water.
b. Glycerine—alcohol solution: Mix 1 volume of
glycerine with 2 volumes of 95% ethanol.
c. Barium chloride crystals. High quality 20-30 mesh
crystals.
d. Standard sulfate. Any high grade soluble sulfate
may be used.
2. Calibration.
a. Prepare a stock sulfate solution using a dry sulfate
of high quality.
b. From the stock solution prepare working stand-
ards equivalent to 100, 300, 500, 700 and 1000 /*g
sulfate per 10 ml. of solution.
c. Pipette replicate 10 ml. portions of each standard
into graduates or test tubes graduated at 25 ml.
d. Follow the procedure outlined below starting at
step b of 3. All readings should be made against a
reagent blank. Repeat the calibration until a satis-
factory calibration curve is obtained.
e. Plot percent transmittance against amount of sul-
fate on semi-log paper.
3. Analytical procedure.
a. Transfer a 10 or 20 ml. aliquot of the water extract
of the sample into a graduated cylinder or a test
tube graduated at 25 ml. The size of the aliquot to
be used has to be established by preliminary tests on
samples from different locations.
b. Add 1 ml. 10 N hydrochloric acid, 4 ml. of the
glycerine-alcohol solution and dilute to 25 ml. if
necessary. Mix thoroughly.
c. Add approximately 0.25 gm. barium chloride cry-
stals and mix until the crystals are dissolved.
d. Allow to stand 40 minutes.
e. Read in a spectrophotometer at 500 m^ against a
reagent blank. Any spectrophotometer accommodat-
ing cuvettes with a light path of 25 to 50 mm. should
be satisfactory.
f. Determine the sulfate content of the sample by
referring to the calibration curve.
C. Nitrates.
1. Reagents.
a. Xylenol reagent: 1 percent by volume of 2-4
xylenol in glacial acetic acid.
b. Sulfuric acid 85 percent: add 485 ml. of concen-
trated sulfuric acid with care to 117 ml. of water
c. Sodium hydroxide: .4N solution.
-------
2. Calibration.
a. Prepare a stock nitrate solution containing 100
mgms. of nitrate per liter. (163 mgms. KNO3 per
liter.)
b. Prepare working standards containing 10, 20, 40,
60, 80 and 100 ^g per 5 ml. by properly diluting the
stock solution.
c. Pipette 5 ml. portions of the working standards
into test tubes and add 15 ml. of 85% sulfuric acid
solution. Mix and cool.
d. Proceed as outlined below starting at step b of 3.
e. Read the transmittance of the solution at 435 m/i
agent a reagent blank.
f. Plot percent transmittance against amount of ni-
trate on semi-log paper.
3. Analytical procedure.
a. To a 2 ml. aliquot of the water extract of the
sample in a 25 mm. test tube add 3 ml. of water and
15 ml. of 85% sulfuric acid. Mix and allow to cool.
If the nitrate level is low, 5 ml. of the extract should
be used. Omit the 3 ml. of water in this case.
b. Add 1 ml. of the xylenol reagent. Mix.
c. Heat in a 60° water bath for 30 minutes. Cool.
d. Transfer the contents of the tube to a 250 ml.
separatory funnel, rinsing the tube with distilled
water. A total of 80 ml. of water should be added
to the separatory funnel.
e. Add 10 ml. of toluene to the separatory funnel.
Shake fairly vigorously for at least 2 minutes. A
standard shaking procedure should be adopted to
insure consistent results. Too vigorous shaking must
be avoided to prevent emulsification.
f. Allow to stand for 15 minutes, then run off and
discard the lower layer.
g. Wash the toluene with 20-25 ml. of water, shake
gently and allow to settle for a few minutes.
h. Completely run off the lower layer and discard.
i. Add 10 ml. of .4 N sodium hydroxide solution
and shake gently for 5 minutes.
j. Allow to stand until the lower layer becomes clear,
then filter the lower layer through Whatman No. 1
paper into a clean and dry cuvette.
k. Read the transmittance of the solution at 435 m/x
against a reagent blank prepared in the same manner.
1. Obtain the concentration of nitrates in the sample
by referring to the calibration curve.
D. Chlorides.
Filters supplied since mid-1956 contain a large amount of
chlorides, thereby making it impossible to carry out a deter-
mination of chlorides in the particulate samples collected on
these filters.
Bromide, iodide, thiocyanate, cyanide, ferrocyanide, ferri-
cyanide, sulfide and thiosulfate ions interfere in this deter-
mination by precipating as silver salts.
1. Reagents.
a. 3% para-nitrophenol in 95% ethanol.
b. N Nitric acid.
c. Sodium or potassium chloride for standards.
253
d. Silver nitrate reagent: 1 gm. silver nitrate dissolved
in 20 ml. distilled water, add 1 ml. nitric acid, then
dilute to 100 ml. Store in a dark bottle.
2. Calibration.
a. Prepare a stock chloride solution using a dry sample
of either pure sodium or potassium chloride. .210 gms.
of KC1/1 is equivalent to 100 //.g. chloride/ml.
b. Prepare a set of working standards containing 20, 50,
100, and 200 ^ig per 20 ml. by properly diluting the stock
solution.
c. Follow the procedure outlined in 3 below using re-
plicate samples of each of the standards prepared. Re-
peat if necessary to give adequate precision.
d. Plot percent transmittance against amount of chloride
on semi-log paper.
3. Analytical procedure.
a. To 20 ml. of the water extract of the sample add 1
drop of the p-nitrophenol solution.
b. Add N nitric acid drop by drop until the solution
becomes colorless.
c. Overlay with 2 ml. silver nitrate reagent.
d. Dilute to 25 ml. with distilled water.
e. Stopper and mix by inversion 6 times.
f. Allow to stand exactly 30 minutes, then read in a
spectrophotometer at 500 m/x against a reagent blank.
The solution should be stored in the dark for the 30
minute period and the spectrophotometric measurement
should be carried out in a dimly lighted room in order
to avoid reduction of the silver chloride by bright light.
g. Determine the amount of chloride in the sample by
referring to the standard curve.
Metals—Spectrographic Method
A. Standardization.
Prepare a stock standard solution containing 2 ^each of
Sb, Be, Bi, Cd, Cr, Co, Ni, and V; 4 ^g Sn; 8 ^g Ba, Mo,
and Ti; 16 ^g Cu and Mn; 48 ^g Zn; 72 ^g Pb, and 128
fj.g Fe in 0.05 ml. of solution from ACS, or better, grade salts.
Working standards are made by diluting the stock solution
to give concentrations }/2> !4> 1/8 • • 1/256 of the original.
Stronger standards are made by placing multiples of 0.05 ml.
of the standard solution on the electrode. A nitric acid extract
of the glass filter is incorporated in the working standard
solutions in order to duplicate the conditions in the solutions
obtained from the particulate samples. In this way, compen-
sation is made for acid soluble materials present in the glass
filter some of which would interfere in the metal analysis.
By following this procedure the need for making separate
corrections for metals present in the filter is eliminated.
For the preparation of a standard plate, electrodes (V-
crater with center post) are loaded with one or more 0.05 ml.
portions of a working standard solution and then dried for
one hour in a 105° C oven. The loaded electrodes are arced
at 7 amp. d.c. for 30 seconds, using a Baird 3-meter grating
spectrograph. A single step-sector, passing 1/8 of the uninter-
rupted beam, is interposed between the arc and the spectro-
graph. Use of this sector proved to be invaluable as it pro-
vided an 8-fold increase in range as well as a spectrogram
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254
with much lower background. Eastman 103-0 plates are used,
and a single region 2170 A.-3590 A. recorded. The plates
are processed by standard procedures. It is possible to find
satisfactory analysis lines for all 17 metals within this single
region. A standard plate equivalent to 1/256 to 8 times the
concentration of the stock solution was adequate to cover
the ranges of concentrations of the metals encountered. The
intensities of the analysis lines of the metals on the standard
plate are measured with use of the Jarrell-Ash densitometer
and a calibration curve of line intensity vs. metal concentra-
tion prepared for each metal.
B. Preparation and evaluation of sample spectrograms.
To permit more complete removal of inorganic materials
than is possible by simple acid extraction, samples (26% of
the original) are first muffled at 500° C for one hour to burn
off organic matter before they are extracted twice with 40
ml. portions of 1-1 nitric acid at slightly below the boiling
point for one hour. After the resulting solutions are filtered
through Whatman No. 42 filter paper, they are evaporated
to 3-4 ml. and then made up to 10.4 ml. The electrodes are
loaded with 0.05 ml. of solution and then dried in an oven
at 105° C. The loaded electrodes are arced at 7 amp. d.c.
for 30 seconds in the spectrograph. A single step-sector, pass-
ing 1/8 of the uninterrupted beam, is interposed between
the arc and the spectrograph. Twelve sample spectrograms
are recorded on each plate. Analysis lines of the sample
spectrograms are evaluated by means of the densitometer
and the metal content of the sample obtained from the
calibration curve.
The above procedure was used for the analysis of samples
collected prior to January 1, 1957. Since that date samples
have been collected on a new filter having different chemical
and physical properties. Due to the lowered solubility of the
filter in the nitric acid used in the processing of the sample
it was necessary to slightly modify the procedure by filling
the electrode crater one-third full of a LiCl-graphite mix-
ture (1 part LiCl and 2\/2 parts graphite) prior to arcing to
provide a more uniform burning of the sample.
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255
A COMPARISON
It is interesting to contrast the National Air Sampling
Network with the somewhat older and more complex volun-
teer network of air pollution measuring stations in Great
Britain (22, 23) which for years have reported their results
in uniform manner to the Fuel Research Station of the
Department of Scientific and Industrial Research. The simi-
larities and differences of the two national networks merit
examination and explanation.
As of the end of 1957, both networks involved about 250
cooperating agencies. In the United States, each agency in
general operates only one sampling site as part of the Net-
work, whereas in Britain, each agency operates an average
of four sampling sites as its part of the national network. In
the United States network, there has been in use up to now,
only one unit of sampling equipment at each sampling site—
a suspended particulate matter filter. In Britain, each site has
at least two units of equipment, most generally a deposit
gauge for settleable solids and a device for integrated monthly
measurement of sulfur dioxide. At about fifteen percent of
the sites, equipment is also available for measurement of
daily smoke and sulfur dioxide levels.
It is noted, however, that the United States network filter
samples are being measured for blackness, so that the equi-
valent of the British smoke filter data is being obtained at all
stations in the United States. A gas sampler for sulfur dioxide
and other gases is under development for network use. At
present it is not contempated that deposit gauges will be used
at United States network stations.
In Britain, the equipment and laboratory services are
provided by the local agencies operating the sampling site.
In the United States network, prior to 1958, all samplers and
laboratory analyses were provided by the Community Air
Pollution Program, Robert A. Taft Sanitary Engineering
Center, Public Health Service. The first move toward British
practice in the United States occurred this year: The New
York State Department of Health has taken over complete
responsibility for providing equipment and analyses for
sampling sites in that state. The state health departments of
Washington and Maryland have also set up small scale net-
work operations. Data from these state networks will be
incorporated in consolidated reports such as this one.
In the United States network, results of sample analyses
are furnished to the agency doing the sampling and also to
the air pollution agency of the state in which the sampling
site is located, at the end of each three-month period. In
Britain, consolidated reports for all stations are prepared on
a monthly basis and furnished to all stations. Most of the
British network stations collect integrated samples for a period
of a month. A smaller number take average daily samples,
but such stations report their results each month only as
monthly average and highest daily average. One 24-hour
sample is taken every two weeks at each site in the United
States network. A more detailed chemical analysis is made
than in Britain, and the actual results obtained are reported.
The form of consolidated report represented by this publica-
tion differs from that used periodically for this purpose by
our British counterparts because of the differences in data
being consolidated.
An integral part of the United States network is a group
of 51 nonurban sites to serve as control or background sites.
There is no comparable group in the British network which
is separately identifiable. The United States network, for
which practically all analytical work is done in a central
laboratory, must limit urban stations to the number that can
be handled by the laboratory, and in order to get the best
possible geographical coverage over a large country, to use
only one station per city. In the British network, most cities
operate and analyze samples from a number of sampling
sites, there being 166 sites in the Greater London area alone
operated by the several dozen administrative municipal
bodies in this 100 square mile area. As yet, no city in the
United States operates a similar network which merges its
data with that of the national network in the same way that
Greater London data are merged into those of the British
network.
It is noted in conclusion that the British network has been
operating since 1927. Many of their cities have been harder
hit by air pollution than American cities, so that the incentive
there has been greater; and lastly, the United States network
covers a vastly larger land area and population than its
British counterpart.
It is hoped that the states and cities in this country during
the next several years will establish, on a basis compatible
with the present network, state and local networks of sampling
stations around the admittedly sparse matrix of stations now
being operated.
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257
ACKNOWLEDGEMENTS
In the early days of the Network operation, Dr. Leslie A.
Chambers, Director of Research of the Sanitary Engineering
Center, now Director of Research of the Los Angeles County
Air Pollution Control District, foresaw the significance of air
pollution data being collected from a few stations for other
purposes, and visualized the establishment of the national air
quality grid. During this formative period, the field operation
was handled by Dr. Milton J. Foter, now Chief of Food Micro-
biology, Milk and Food Program, Robert A. Taft Sanitary
Engineering Center. Chemical analyses for inorganic pollutants
during these years were performed by the Kettering Laboratory
of the University of Cincinnati, under the supervision of Mr.
Jacob Cholak, Associate Professor of Industrial Health.
With the passage of Public Law 159 (the Federal Air Pol-
lution Research and Technical Assistance Act) in 1955, the
Network was incorporated into the Air Pollution Program
under the supervision of Mr. Arthur C. Stern, who developed
the master plan for the conduct of the Network which was put
into effect in January, 1957, and under which the Network is
currently operating. The random sampling method was de-
veloped by Dr. E. K. Harris, Chief Statistician, Robert A. Taft
Sanitary Engineering Center.
The person responsible for the Public Health Service lab-
oratory portion of the work from the beginning and Chief
of the National Air Sampling Network Section since 1955,
is Mr. Elbert C. Tabor. Since 1955, field operations have been
'the responsibility of Mr. Vernon R. Hanson. Laboratory
operations have been supervised by Mr. Frank H. Davis since
mid-1957. Radioactivity measurements are made under the
direction of Dr. Lloyd R. Setter, of the Radiological Health
Program of the Sanitary Engineering Center. Special men-
tion is made of the contribution of Mr. Charles E. Zimmer,
Analytical Statistician, who was responsible for the reduction
and compilation of the data. In this work, he had the able
assistance of Mr. Donald H. Fair.
Appreciation also is expressed for the excellent coopera-
tion of state and territorial health and other agencies, various
federal agencies, and the Public Health Service regional
offices in setting up and maintaining the Network.
Particular mention must be made of the contribution to
this project by the many local participating agencies through-
out the United States whose conscientious operation of the
sampling stations make this study possible.
Acknowledgement is made of the participation of the
following individuals in the Network program during the
period covered by this report: Mary Jo Albertz, Nancy Bald-
win, Naomi Barkley, Carl Berry, Patricia Bezold, Patricia
Brady, William Bumiller, Rubert Caldwell, John Chambers,
Philip Drinker, Walter Elbert, Harold Faig, Frank. Fox,
Thomas Halloran, Samuel Halpern, June Hastings, Thomas
Hauser, Carl High, William Hoffman, Dennis Holzschuh,
Anna Hood, Shirley Irwin, Claude Johnson, Daniel Lamb,
Robert Litzenberg, Robert McDonald, Betty McDowell,
Joseph Majors, Eugene Martin, James Meeker, William
Peart, John Pfaff, Alice Proulx, David Robinson, Ann Rute-
miller, Kenneth Schatzle, John Spille, Ruth Umfleet, William
Warren, Richard Werner, James Wood and Ruth Wheatley.
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259
REFERENCES
(1) Stern, A. C. Application of Electronic Processing to Air
Quality Data. Proc. Semi-Annual Technical Conference, Air
Pollution Control Association, San Francisco, Cal., Novem-
ber 18-19, (1957).
(2) Stern, A. C. Manual on the National Air Sampling Net-
work Program for the IBM 650 Computer. Robert A. Taft
Sanitary Engineering Center, Cincinnati, Ohio. (1957).
(3) Chambers, L. A., Foter, M. J. and Cholak, J. A
Comparison of Particulate Loadings in the Atmospheres of
Certain American Cities. Proc. Third Nat'l Air Pollution
Symposium, Pasadena, Cal., April 18-20, (1955).
(4) Chambers, L. A., Tabor, E. C. and Foter, M. J.
The Characteristics and Distributions of Organic Substances
in the Air of Some American Cities. A. M. A. Arch. Ind.
Health, 76, 17, (1957).
(5) Tabor, E. C. Hauser, T. R. Lodge, J. P. and Burttschell,
R. H. Characteristics of the Organic Particulate Matter in
the Atmosphere of Certain American Cities. A. M. A. Arch.
Ind. Health, 17, 58, (1958).
(6) Tabor, E. C. and Warren, W. V. Distribution of Certain
Metals in the Atmosphere of Some American Cities. A. M.
A. Arch. Ind. Health, 17, 145, (1958).
(7) Stern, A. C. Results of Three Years of Operation of the
National Air Sampling Network. J. Air Pollution Control
Association, 7, 284, (1958).
(8) Chambers, L. A., Tabor, E. C. and Foter, M. J. Protein
Content of the Atmosphere. Technical Report, A58-9, Robert
A. Taft Sanitary Engineering Center, Cincinnati, Ohio,
(1958).
(9) Silverman, L. and Viles, F J. A High Volume Air
Sampling and Filter Weighing Method for Certain Aerosols.
J. Ind. Hyg. and Tox. 30, 124, (1948).
(10) Chambers, L. A. Filter Media for Air Sampling. Amer.
Ind. Hyg. Association Quarterly, 15, 4, (1954).
(11) Harris, E. K. and Tabor, E. C. Statistical Considera-
tions Related to the Planning and Operation of a National
Air Sampling Network, Proc. 49th Annual Meeting, Air
Pollution Control Association, Buffalo, N. Y., 35-1, (1956).
(12) Eisenhart, Hastay, and Wallis. Techniques of Statistical
Analysis. McGraw-Hill, (1947).
(13) Setter, L. R., Hagee, G. R. and Straub, C. P. Analysis
of Radioactivity in Surface Waters—Practical Laboratory
Methods. ASTM Bulletin, 227, 35, (1958).
(14) Nader, J. S., Hagee, G. R. and Setter, L. R. Evaluating
the Performance of the Internal Counter. Nucleonics, 12, 29,
(1954).
(15) Cholak, J. and Hubbard, D. M. Spectrochemical
Analysis with the Air-Acetylene Flame. Ind. Eng. Chem.,
Anal. Ed. 16, 728, (1944).
(16) Barnes, H. A Modified 2:4-xylenol Method for Nitrate
Estimations. Analyst 75, 388, (1950).
(17) Luce, E. N., Denice, E. C. and Akerlund, F. E.
Turbidimetric Determination of Small Amounts of Chlorides.
Ind. Eng. Chem., Anal. Ed. 75, 365, (1943).
(18) Willard, H. H. and Winter, O. B. Volumetric Method
for the Determination of Fluoride. Ind. Eng. Chem., Anal.
Ed. 5, 7, (1933).
(19) Dahle, D., Bonnar, R. U. and Wichmann, H. J.
Titration of Small Quantities of Fluorides with Thorium
Nitrate. I. Effect of Changes in the Amount of Indicator and
Acidity. J. Assoc. Offic. Agr. Chemists, 21, 459, (1938).
(20) Bambach, K. Polarographic Determination of Arsenic
in Biological Material. Ind. Eng. Chem., Anal. Ed. 14, 265,
(1952).
(21) Cholak, J. and Hubbard, D. M. Spectrochemical Deter-
mination of Beryllium. Increased Sensitivity of Detection in
the Cathode Layer. Anal. Chem., 20, 970, (1948).
(22) Department of Scientific and Industrial Research. The
Investigation of Atmospheric Pollution. Reports on Observa-
tions, 1927—. H. M. Stationery Office, London.
(23) Department of Scientific and Industrial Research.
Atmospheric Pollution Bulletin. Monthly Summary of Obser-
vations and Abstracts, 1933—. Fuel Research Station, Green-
wich, London.
U. S. GOVERNMENT PRINTING OFFICE : 1958 O -486455
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