NATIONAL AIR QUALITY LEVELS AND TRENDS IN TOTAL SUSPENDED
PARTICULATES AND SULFUR DIOXIDE DETERMINED BY DATA IN
THE NATIONAL AIR SURVEILLANCE NETWORK
U.S. ENVIRONMENTAL PROTECTION AGENCY
Office of Air & Water Programs
Office of Air Quality Planning & Standards
Research Triangle Park, North Carolina 27711
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45OR73117
NATIONAL AIR QUALITY LEVELS AND TRENDS IN TOTAL SUSPENDED
PARTICULATES AND SULFUR DIOXIDE DETERMINED BY DATA IN
THE NATIONAL AIR SURVEILLANCE NETWORK
OFFICE OF AIR QUALITY PLANNING & STANDARDS
Monitoring and Data Analysis Division
U.S. ENVIRONMENTAL PROTECTION AGENCY
Office of Air & Water Programs
Office of Air Quality Planning & Standards
Research Triangle Park, North Carolina 27711
APRIL 1973
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NOTICE
Subsequent to the printing of this Report, the secondary
annual sulfur dioxide air quality standard was eliminated by
the Environmental Protection Agency. Although various refer-
ences to this air quality standard are contained herein, the
analysis and findings contained in the report are uneffected.
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ABSTRACT
Data collected through the National Air Surveillance Net-
work for the past 12 years have been examined for trends in
ambient levels of suspended particulates (TSP) and sulfur dioxide
(S02). The results of the analysis show that both TSP and S02
concentrations at most center city NASN sites have declined sig-
nificantly over the 12-year period. In general, stations with
the highest concentrations in the early 1960's have shown the
greatest improvement. The average center-city TSP concentration
has decreased by approximately 20 percent while SO2 concentra-^
tions have shown a much greater improvement, decreasing by
approximately 50 percent.
These improvements in air quality have primarily resulted
from the increased use of cleaner-burning fuels in the residen-
tial, commercial, and industrial sectors of most urban areas.
Local and State air pollution regulations limiting the use of
coal and high-sulfur fuels have resulted in increased use of
low-sulfur oil and natural gas as the primary sources of energy.
These results are preliminary and will be further developed as
State air quality information is included in the trends evalua-
tion.
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INTRODUCTION
The purpose of this paper is to (1) report on national
trends in total suspended particulates (TSP) and sulfur dioxide
(SO2) by examining data collected through the National Air Sur-
veillance Networks (NASN), and (2) to enumerate the possible
reasons for the trends observed. The NASN is a federally-funded
air quality monitoring network operated with the assistance and
cooperation of state and local agencies. The NASN program was
begun in the mid-1950's with 17 urban stations and grew to
approximately 150 TSP sampling stations by the mid-1960's
located throughout the U.S. The number of stations that comprise
the NASN has fluctuated from year to year and reached its zenith
in 1971-72 when over 260 TSP and 200 S02 stations were maintained.
Presently, there are some 258 TSP and 202 SO~ sampling stations
located in the 50 states and Puerto Rico.
Total suspended particulate matter is collected using a high
volume air sampler by filtering ambient air through a fiberglass
filter over a 24-hour sampling period. Sulfur dioxide is col-
lected by bubbling air through a solution of potassium tetra-
chloromercurate and analyzed using the West-Gaeke colorimetric
method. Both pollutants are collected using a bi-weekly modified
random sampling schedule which results in 26 daily samples per
station each year. The sampling methods mentioned are both the
standard EPA reference methods.
When the NASN was originated, resource limitations dictated
placement of only one station in each major urban area. Stations
were located primarily in the downtown or center-city area and
hence do not necessarily reflect the "worst" air quality to be
found throughout heavily-industrialized portions of many urban-
ized cities. For this reason, there may be differences between
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the air quality summarized in this report and the air quality
obtained by state monitoring systems used in developing State
Implementation Plans.
This paper deals only with trends in annual means; indi-
vidual 24-hour values are not analyzed with respect to trends
or compliance with short-term federal air quality standards.
Trends in maximum daily concentrations are currently being
examined, and will be presented in a much more comprehensive
trends report to be published in the summer of this year.
However, it is felt that this current analysis, although
preliminary, has revealed the essence of the nation's trends
in TSP and SO- air quality.
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SUMMARY
Data collected through the NASN for the past 12 years have
been examined for trends in ambient levels of TSP and S02. For
purposes of analysis, the period 1960-1971 has been divided into
three intervals consisting of the years 1960-1963, 1964-1967,
and 1968-1971, respectively. The analysis, while primarily
focusing on air quality concentration levels and trends over
the extended 12-year period, is also designed to present limited
evaluation of trends during the most recent interval; 1968-1971.
Criteria were developed and applied in the selection of sites
for analysis for each pollutant.
One-hundred sixteen sites were identified for TSP which had
sufficient data over the entire period to develop long-term trends,
An additional 61 stations were included in the 4-year analysis
for recent, short-term trends.
For S02» long-term trends were established based on data
from 32 sites over the last two intervals, 1964-1971. As with
TSP, a short-term analysis was also performed which permitted
the incorporation of an additional 63 sites during the last
interval, 1968-1971, in order to identify more recent SO^ trends.
The results of the analysis show that both TSP and SO,, con-
centrations at most center-city NASN sites have declined over
the period examined (12 years and 8 years, respectively).
In general, stations with the highest concentrations in the early
1960's showed the greatest improvement. The increases in con-
centration levels were found primarily among the stations with
the best initial air quality.
Of the 116 stations used in the analysis of long-term TSP
trends, 66, or over half, exhibited statistically significant
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downward trends while only eight stations showed an upward
trend. The remaining 42 exhibited only small or insignificant
changes over the 12-year period. No predominant national trend
was observed during the last 4 years although concentration
levels are still changing at some locations.
For S02» trends in annual averages are even more pronounced.
In the 8-year period, 1964-1971, 19 of the 32 selected sites
showed a significant downward trend; 12 showed no significant
change, and only I showed an increase. Considering only the
last 4-year period, 1968-1971, the downward trends in S02 annual
averages are clearly apparent in contrast to TSP. Over the last
4 years, 42 of the 95 stations have shown a significant downward
trend; 17 have had no change; 3 have increased; and the remain-
o
ing 33 have had 4-year averages that were so low (<^ 10 ug/itr)
that testing for trends was unrealistic.
Another indicator of trends in TSP and S02 is obtained from
examining the percentage of stations showing annual means above
the NAAQS. It must be kept in mind that these stations may not
represent the area of highest concentration in an Air Quality
Control Region, and the results may not be interpreted as demon-
strating that the requirements of the Clean Air Act of 1970 have
been met.
In the early 1960's, annual geometric means of TSP exceeded
the primary annual standard (75 ug/m ) at approximately 80 per-
cent of the stations reporting. In the late 1960's and early
1970's, the percentage of stations exceeding the annual standard
dropped from approximately 80 percent to slightly greater than
60 percent. The change was less noticeable when compared to the
secondary annual standard. It should be pointed out that the
number of sites in the network doubled during this time period.
This did not influence the character of the sample.
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Since 1964, the SO- picture has changed markedly. In 1964,
a third of the sites (6 of 18) exceeded the primary annual stan-
dard (80 ug/m ). By 1971, with 54 stations reporting annual
concentrations, only Chicago with 73 ug/m exceeded the secondary
annual mean standard (60 ug/in ) , and even there, the trend has
been significantly downward from a peak annual mean of 184 ug/m
in 1969.
Geographic similarities or differences were defined on the
basis of four geographic regions (northeast, northcentral, south,
and west). Differences were observed in the levels of both TSP
and S02. Generally, concentrations of TSP and S02 have been
greater in the northeast and northcentral regions. This is
probably due to the high density of industrial sources in these
areas. All regions have shown substantial long-term declines in
levels of TSP and S02.
Finally, nonurban levels were examined. The results show
nonurban or remote sites exhibit no significant trend in TSP over
the 12-year period. However, a number of significant upward
trends are reported for the last 4-year interval. In fact,
this recent increase has merely returned the composite nonurban
particulate concentration to a level comparable with the first
half of the 12-year period. If only these 4 years had been
documented, a different and misleading conclusion would have
resulted. This underscores the problems inherent in recognizing
trends from records spanning brief time periods.
Data for S02 at nonurban stations are too sparse to justify
a formal analysis. At the two sites for which we have sufficient
valid data, there is either a downward trend or no change.
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DISCUSSION OF RESUMS
Figure 1 shows yearly composite averages and ranges of
annual means of TSP for 95 urban stations and 18 nonurban sta-
tions in comparison to the ambient air quality standards. The
trend at the urban stations is downward. The composite mean in
1960 is about 110 ug/m ; it is 85 in 1971. The 18 nonurban sta-
tions evidence no net change. These 95 urban and 18 nonurban
stations have at least 1 year of data in the first two intervals
and at least 2 years of data in the third interval. The com-
plexity of changing urban habitats, the diversity of topographic
and climatological areas being sampled, and the variability in
the parameters being measured requires a more definitive analysis
than subjectively eyeing the slope of a graph. Therefore, the
changes in TSP at individual sites have each been tested for
statistical significance and summarized in Table 1. The 12-year
picture of statistically-treated trends is downward at over half
the stations, 66 of 116, while only eight display a significant
upward trend. This long-term decline in total suspended parti-
culate matter is essentially reiterated by consideration of the
trends over the last 8 years. Fifty-three of the 119 stations,
where this comparison is applicable, evidence a downward trend,
while only three display a significant upward trend. The most
recent short-term picture is somewhat different, however. A
large majority of the trends were not significant but 21 of the
locations evidenced upward trends while only 20 locations evi-
denced a downward trend.
The apparent implications of the short-term trends must be
tempered by interpretation in the context of the long-term trends.
For example, only one station with long-term upward trends also
shows significant upward trends in the last four years. An extreme
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case in point is seven stations with statistically-significant
increases in the last four years that in fact are minor reversals
of much larger significant downward trends over the whole 12-year
period.
The essence of Figure 1 and Table 1 is that TSP, as measured
at center-city NASN stations, has been stable or declining at the
majority of stations over the 12-year period, 1960-1971. Most
of the decline appears to have taken place prior to 1968.
Trends at nonurban stations were examined in a similar manner
and are summarized in Table 2.. Over the 12-year period, the major-
ity of stations evidence no significant change. The downward
trends that appear in the analysis of the last > 8 years have
been effectively cancelled by the upward trends in the last 4
years. This can also be seen in Figure 1 as the dip in the non-
urban composite average in 1968-69.
Table 3 presents, year by year, the number of NASN stations
exceeding the primary and secondary annual mean standards. Since
the total number of valid stations varies from year to year, the
percent of stations exceeding each standard is also listed. The
increase in number of stations exceeding the standards and the
decrease in the percent of stations exceeding the standards
reflects the combination of downward trends already discussed
and the expanding coverage of the network.
In summary, urban suspended particulate matter concentra-
tions, as measured at 177 center-city NASN stations, are generally
lower at the beginning of the 1970's than they were at the begin-
ning of the 1960's, although there has been a minor rebound at
about 10 percent of the stations since 1968. Insofar as sus-
pended particulate matter is acknowledged as an indicator of
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8
ambient air quality, the 77 stations, which over the last 4
years, have been consistently above the primary annual mean
standard, testify to the continuing need for reform in human
activities and continuation and expansion of control programs.
The analysis for SO2 covers the 8-year period, 1964-
1971, because valid data prior to 1964 are too sparse to support
generalizations about the national situation. The graph of com-
posite annual arithmetic mean concentrations of sulfur dioxide
at 32 urban NASN stations, Figure 2, shows a marked decline over
the 1964-1971 period. This is attributed, in some measure, to
the institution of regulations in various sections of the country
requiring reduced sulfur content in coal and fuel oils. There
may also be instances of influential sources converting to
cleaner fuels or closing down. Center city power plants are
either being replaced by new nonurban plants or are being used
for standby.
The arithmetic annual means are used in Figure 2, and later
in discussing the status with respect to the national standards.
However, since the distribution of air quality measurements is
generally considered to be more nearly log-normal than symmetric,
geometric means have been used in the statistical analysis for
SO2 trends in an attempt to improve the sensitivity of the tests.
The conclusions about overall trends should not be affected.
Figure 3 presents SO, air quality trends in selected cities.
These cities were chosen since they had reported concentrations
in excess of the national standards at the beginning of the report-
ing period. As documented, all of the selected cities have shown
a decline in concentrations. However, they do not all decline at
the same rate or exhibit the same pattern of decline.
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Table 4 shows over half 19 of the 32 stations with data
in both 4 -year intervals trended downward. The expanded NASN
network provides 95 stations to examine in the last 4 year
interval. Nearly half of the stations (42) show downward
trends and another third (33) have annual means so low (less
than 10 micrograms per cubic meter) that detection of trends
is both statistically difficult and unrealistic.
Data for sulfur dioxide at nonurban stations are too sparse
to justify a formal national analysis. Since 1964, the sulfur
dioxide picture, with respect to the currently defined annual
mean standards, has changed markedly (Table 5) . In 1964, a third
of the relatively small number of stations (6/18) exceeded the
primary annual mean standard (80 ug/m ). By 1971, three times
as many stations reported valid annual means; only one (Chicago,
73 ug/m ), exceeded the secondary annual mean standard (60 ug/m ),
and even there, the trend has been significantly downward from a
peak annual mean of 184 ug/m in 1969.
Since these NASN stations are not source oriented, one
should not infer that these results indicate that the NAAQS are
being met everywhere in these Air Quality Control Regions.
Geographical differences were examined by first subdividing
the United States into four geographic regions as defined by the
Bureau of the Census: North Central, Northeast, South, and West.
In general, the predominant fuel types are different for each
regioncoal in the North Central, oil in the Northeast, natural
gas in the West.
The statistically significant trends in TSP show that a
majority of sites in each region have demonstrated improvements
over the long-term periods. The Northeast has been the region
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10
with the highest TSP concentrations during the early 1960's
whereas, it now has a comparable level to the North Central.
The West, initially higher in concentration than the South,
had improved greatly toward the mid-1960's but due to a minor
reversal in the early 1970's, is now comparable to the com-
posite level of the South.
For SO-* the statistically significant trends show that
each of the regions has demonstrated improvements over the
8- and 4-year periods. Only one site in the North Central
exhibited a significant upward trend in the 8-year period
out of a total of 32 in all the regions. Of the 95
stations in the 4-year period, only three exhibited a
significant upward trend, two of which are located in the
Northeast and one in the South. Thus, the trends in each of
the regions follow the national trend of a marked decline
in S02 at urban stations.
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11
ANALYSIS OF RESULTS
The result of NASN SO- analysis has shown a very pro-
nounced downward long-term trend over the 8-year period
(1964-1971) at monitoring sites generally located in the cities'
central business district. The composite average for the 32
stations dropped over 50 percent. The reasons for this dramatic
downward trend are as follows. First, changes in types of fuels
used for residential and commercial space heating have changed
greatly over the last 10 years. Natural gas, electricity, and
low sulfur distillate oils have replaced coal as the major
sources of fuel. Second, the quality of fuels burned (i.e.,
lower sulfur contents) has improved in the last few years.
Finally, relocation of older, marginal major point sources,
particularly the smaller power generation plants in central
cities, coupled with strict local emission regulations has had
a significant impact on central city air quality. Increased
fuel transportation costs has made it attractive to generate
electricity near the fuel source, the so-called minemouth opera-
tions in Pennsylvania, for example.
It is felt that the majority of the concentration reduction
is due to changes in area source fuels rather than changes or
relocation of point sources such as power plants. It is a known
meteorological fact that emissions generated at ground level,
such as area sources, have a much greater impact on annual average
ground level concentrations than the same emissions from an
elevated point source. On a ton for ton basis, diffuse ground
level emissions are on the average five to six times more impor-
tant on ground-level receptors than the same emissions from
elevated concentrated point sources.
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12
A cursory review of nationwide sulfur dioxide emissions
might reveal a conflict since they have increased around 20
percent from 1964 to 1971 (27 million tons to 33 million tons).
However, this increase in emissions is a nationwide average
while the decrease in SO2 ambient air concentrations are for
center city locations. Thus, the impact of the above-mentioned
emission changes have a highly significant impact in and around
sampling locations but a very minor insignificant impact on
nationwide emissions.
In summary, the combined effect of cleaner area source
fuels, movement of large point sources away from central cities,
and strict regulations requiring the use of low-sulfur fuels
have caused a marked improvement in SO2 air quality in central
cities. Emission reductions from area sources appear to have
had the greatest impact on air quality.
Particulate matter concentrations, like(SO2, have shown a
decrease since the early 1960's. The percent reduction has not
been as dramatic. A conflict also arises with TSP since, again,
nationwide emissions have shown a slight increase (about 10 per-
cent) since 1960. The reasons for this apparent conflict are
the same. The use of cleaner fuels for home heating and for
office buildings would have significant impact on center city
monitors, but a small impact on total nationwide emissions.
The increasing controls used on stationary sources such as
power plants and industries, coupled with relocation, would
also contribute to the decreasing air concentrations.
The percentage of improvement for TSP concentrations has
not been as great as SO2» partly because of the presence of
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13
background or non-controllable "emissions." Background con-
centrations of S02 are essentially zero for urban areas, whereas
wind-blown dust and pollen result in particulate concentrations
for which emission control plans will have no impact. For this
reason, particulate emission reductions are not as effective in
terms of percent air quality improvement as are similar reduc-
tions in SO_ emissions.
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COMPOSITE LEVELS OF TOTAL SUSPENDED PARTICIPATE
AT URBAN AND NONURBAN NASN STATIONS
FIGURE 1
200
150
O>
3
100
PRIMARY STANDARD
SECONDARY
STANDARD 50
10
COMPOSITE AVERAGE
95 URBAN LOCATIONS
PRIMARY STANDARD
SECONDARY STANDARD
COMPOSITE AVERAGE
18 NONURBAN LOCATIONS
60 61. 62 63 64 65 66 67 68 69 70 71
jj Range of urban geometric means
J_ Range of nonurban geometri
c means
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COMPOSITE LEVELS OF SULFUR DIOXIDE
AT 32 NASN STATIONS
FIGURE 2
200
150
100
PRIMARY STANDARD
SECONDARY
STANDARD
50
AVERAGE
64 65 66 67 68 69 70 71
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FIGURE 3
240 -r-
200 --
160 --
3 120
CM
O
40 .r
TRENDS IN SELECTED S02 STATIONS
\
X
CH:
"CI
\ NEWARK ,
- '
^
-_N
\
80 ,,
PRIMARY
:>v
V
STANDARD
\
\
"-
\,_NE.W__ HAVEN
1964 1965 1966 1967 1968 1969 1970 1971
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TABLE.!. SUMMARY OF TRENDS IN MEAN SUSPENDED PARTICULATE
MATTER CONCENTRATIONS AT URBAN NASN STATIONS,
1960-1971
Up
No
Type of
Trend
Change
Down
No.
of Stations
Long-Term
12 Years:
' 1960-1971
8
42
66
116
Last 8 Years:
1964-1971
3
63
53
119
Short-Term
4 Years:
1968-1971
21
136
20
177
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TABLE 2. WENDS IN MEAN SUSPENDED PARTICULATE MATTER CONCENTRATIONS
AT NONURBAN NASN STATION, 1960-1971
Type of Trend
Up
No Change
Down
Low {< 10 ug/m3)
No. of Stations
12 Years
1960-1971
2
11
5
_
18
1st 8 Years
1960-1967
4
11
3
.
18
Last 8 Years
1964-1971
1
9
11
21
Last 4 Years
1968-1971
10
17
-
2
29
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Table 3. NUMBER OF NASN STATIONS EXCEEDING PRIMARY AND SECONDARY ANNUAL
MEAN STANDARDS FOR SUSPENDED PARTICULATE MATTER, 1960-1971
Total Number of Stations
Number > Primary Standard
Number > Secondary Standard
Percent > Primary Standard
Percent > Secondary Standard
'60
74
63
71
85
96
'61
72
55
63
76
88
'62
74
61
67
82
91
'63
86
66
80
77
93
'64
80
67
74
84
93
'65
89
72
83
81
93
'66
77
58
69
68
90
'67
90
61
80
70
89
'68
122
76
104
62
85
'69
165
97
139
59
84
'70
170
115
153
69
90
'71
130
78
104
62
80
Primary standard = 75 ug/m
Secondary standard = 60 ug/m
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TABLE 4. SUMMARY OF TRENDS IN MEAN SULFUR DIOXIDE CONCENTRATIONS
AT URBAN NASN STATIONS, 1964-1971
Type of Trend
Up
No Change
Down
Low (< 10 ug/ra3)
Total No. of Stations
8 Years:
1964-1971
1
12
19
-
. 32
'Last 4 Years:
- 1968-1971
3
17
42
33
95
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Table 5. NUMBER OF NASN STATIONS EXCEEDING PRIMARY AND SECONDARY
ANNUAL MEAN STANDARDS FOR SULFUR DIOXIDE, 1964-1971
Total Number of Stations
Number > Primary Standard
Number > Secondary Standard
Percent > Primary Standard
Percent > Secondary Standard
1964
18
6
8
33
44
1965
17
6
7
35
41
1966
15
5
9
33
60
1967
29
6
7
21
24
1968
74
10
18
14
24
1969
88
6
15
7
17
1970
86
3
8
3
9
1971
54
0
1
0
2
Primary standard = 80 ug/m
3
Secondary standard = 60 ug/m
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NASN TRENDS TABLES
The following tables present observed annual mean
levels and trends at individual urban and nonurban
NASN stations for TSP, and urban NASN stations for
SOp during 1960-1971. Annual means are denoted as "0"
(zero) in the tables whenever insufficient valid data
existed to compute them. The observed trends at these
NASN stations do not necessarily represent the temporal
change throughout the given city nor its AQCR. As a
group, they provide an indication of overall national
change in TSP and SOp at center city locations and
nonurban domains.
The trends are defined over several time sub-
intervals and are based on statistically significant
changes in geometric mean concentration. The long-term
trends are based on change in mean concentrations
between four-year sub-intervals: 1960-1963, 1964-1967,
1968-1971. These are denoted in the tables as A, B,
and C, respectively.
For TSP, long-term behavior is indicated by the
reported trends during 1960-1971 and 1964-1971. Trends
over 1960-1967 are included for better definition of
the overall temporal pattern. For SOp, long-term
behavior is based on trends during 1964-1971. Recent
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2
short-term behavior Is Indicated by change during
1968-1971.
Each trend is categorized as DOWN, UP or **,
the latter corresponding to no detectable change.
For the short-term trend, 1968-1971, the trend may
be categorized as LOW indicating that the geometric
mean concentration for the interval was <_ 10 ug/irr
and thus a more specific determination was unrealistic.
All trends are merely representative of past air
quality. Without accompanying data on meteorology
and emission patterns, these trends should not be
extrapolated to predict future concentration levels
or continued direction of change.
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N A S N
URBAN TOTAL SUSPENDED PARTICU LATE MATTER
ANNUAL GEOMETRIC MEANS TRENDS
LOCATION J
GADSOEN
HUNTSVILLE
MONTGOMERY
ANCHORAGE
MARICOPA COUNTY
PHOENIX
TUCSON
LITTLE ROCK
WEST MEMPHIS
ANAHEIM
BURBANK
GLENDALE
LONG 8EACH
LOS ANGELES
OAKLAND
ONTARIO
PASADENA
RIVERSIDE
SACRAMtNTO
SAN BERNARDINO
SAN DIEGO
SAN FRANCISCO
SANTA ANA
TORRANCE
DENVER
ALABAMA
1 1480001
ALABAMA
1 1860001
ALABAMA
1 2460001
ALASKA
2 40003
ARIZONA
3 440001
ARIZONA
3 600002
ARIZONA
3 b60001
ARKANSAS
4 1440001
ARKANSAS
4 2740001
CALIFORNIA
5 230001
CALIFORNIA
b 900002
CALIFORNIA
b 29*0001
CALIFORNIA
5 4100001
CALIFORNIA
5 4160001
CALIFORNIA
b 5300001
C ALIFORM A
5 S3K0001
CALIFORNIA
5 b7b0001
CALIFORNIA
5 64Q0001
CALIFORNIA
5 bhBOOOl
CALIFORNIA
5 66(30001
CALIFORNIA
b 6800001
CALIFORNIA
5 6860001
CALIKOHMA
5 /180001
CALIFORNIA
5 6260001
COLORADO
6 b80001
A01
A01
A01
A01
A01
A01
A01
A01
A01
A01
A01
A01
A01
A01
A01
A01
A01
A01
A01
A01
A01
A01
A01
A01
A01
60
0
0
0
0
54
o
135
66
0
0
0
0
0
143
91
0
122
o
75
0
76
64
0
0
148
61
0
0
67
0
57
.195
121
70
0
0
0
110
130
162
0
0
0
0
0
147
88
58
0
o
122
A
62
0
0
0
. 0
49
..221
117
71
0
0
0
0
o
139
87
0
163
0
62
0
91
57
0
0
11*.
63
0
72
76
0
56
. 186 .
106
0
0
0
0
102
111
114
79
0
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NASN URBAN TOTAL SUSPENDED PARTICULATE. MATTER
4NNU4L GEOMETRIC MEANS ' TRENDS
LOCATION I
BRIDGEPORT
HARTFORD
NEW HAVEN
WATERBURY
... .. ......
NEWARK
WASHINGTON
WASHINGTON
- -
JACKSONVILLE
MIAMI
ST PETERSBURG
TAMPA
ATLANTA
COLU«BUS
- - -
SAVANNAH
HONOLULU
BOISE
CHICAGO
NORTH CHICAGO
PEORIA
ROCK ISLAND
SPRINGFIELD
EAST CHICAGO
EVANSVILLE
FORT WAYNE
CONNECTICUT
7 6C001A01
CONNECTICUT
7 420001A01
CONNECTICUT
7 700001A01
CONNECTICUT
7 10001A01
OELAV-APE:
B 140001A01
OIST COLUMBIA
9 ?0001A01
DIST COLUMBIA
9 20003A01
FLORIDA
10 1960002A01
FLORIDA
10 2700002A01
FLORIDA
10 3980002A01
FLORIDA
10 4360002A01
GEOnGIA
11 200001A01
GEORGIA
11 12B0001A01
GF.ORGIA
11 4t>OOOOlA01
HAWAII
12 12U001A01
IDAHO
13 22U001A01
ILLINOIS
14 1220001A01
ILLINOIS
14 5620002A01
ILLINOIS
14 608U001A01
ILLINOIS
14 6700001A01
ILLINOIS
14 7280001A01
INDIANA
lb 118U001A01
INDIANA
15 1300001A01
INDIANA
15 1380001 A01
60
87
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105
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A : C A : B B: C C
60-71 60-67 64-71. 68-71
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UP DOWN UP
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-- DOWN '~ .-*
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DOWN - - « - ~- DOWN ** "
-------
LOCATION :
GARY
HAMMOND
INDIANAPOLIS
NEW ALBANY
SOUTH BEND
TERPE HAUTE
CEDAR RAPIDS
DAVENPORT
DES MOINES
KANSAS CITY
TOPEKA
WICHITA
ASHLAND
BOWLING GREEN
COVING-TON
LEXINGTON
BATON ROUGE
NEW ORLEANS
SHREVEPORT
PORTLAND
BALTIMORE
FALL RIVER
SPRINGFIELD
WORCESTER
N A S N U
INDIANA
15 JbZOOOlAOl
INDIANA
Ib 1780001A01
INDIANA
15 2U40001A01
INDIANA
15 2980002A01 '
INDIANA
15 3a80002A01
INDIANA
15 *ObOOOlA01
IOKA
16 640001A01
IOWA
16 1060001A01
IOWA
lf> 1180001A01
KANSAS
17 1800002A01
KANSAS
17 3560001A01
KANSAS
17 3740001A01
KENTUCKY
18 H0002A01
KENTUCKY
18 3?0001A01
KENTUCKY
18 800001A01
KENTUCKY
18 2300001A01
LOUISIANA
19 2H0001A01
LOUISIANA
19 2020002A01
LOUISIANA
19 2740001A01 "
MAINE
20 96U002A01
MARYLAND
21 120001A01
MASSACHUSETTS
22 580002A01 "-
MASSACHUSETTS
?2 21MJ002A01
MASSACHUSETTS
22 2640001A01
R B
60
190
0
171
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0
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0
0
164
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61
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149
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63
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69
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108
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72
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153
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93
-- o
70
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- 64
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56
88
L A T
C
70
119
116
106
75
90
93
109
148
94
128
72
83
132
' 50
' 90
67
65
74
76
81
113
64
64
111
E M A T T E R
" " TRENDS'"
A : C " A : B ' B : C C
71 60-71 60-67 64-71 . 68-71
0 DOWN ««
104 DOWN ««
86 DOWN « DOWN DOWN
~ o " ' ' * **
o ««
0 DOWN « « «
0 '"" " DOWN « DOWN «
0 " UP UP «
86 DOWN * DOWN «»
133 .- . . 0,
102 * " DOWN UP UP
76 ' DOWN DOWN UP
143 '
51 " -
90 - ^^ ol>
72 "
68 DOWN ""' DOWN DOWN
70 UP UP DOWN «
' 80 " ' ' DOWN ' '
71 ' ' - «
0 " DOWN "- « ' DOWN *«
62 ' ' . "
o «
138 UP UP
-------
A S N URBAN TOTAL SUSPENDED PARTICULATEMATTER
ANNUAL" 6 E'OME "TRIG MEANS TRENDS
LOCATION 1
DETROIT
FLINT
GRAND RAPIDS
LANSING
SAG I MAW
TRENTON
OULUTH
-
MINNEAPOLIS
MQOHHEAD
ST HAUL
KANSAS
ST LOUIS
LINCOLN
OMAHA
CONCORD
MICHIGAN
23 1180001A01
MICHIGAN
23 IbHUOOlAOl
MICHIGAN
23 1M20001A01
MICHIGAN
23 2U40001A01 -
MICHIGAN
23 47hOOOlA01
MICHIGAN
23 5120001A01
MINNESOTA
24 1040001 A01 "
MINNESOTA
24 2260001A01
MINNESOTA
24 23Z0001A01
MINNr.bOTA
24 33DU001A01
MISSOURI
2b 2380002A01
MISSOURI
26 4280001A01
NE6~AbK<.
28 1S6U002A01
NEBHASKfl
2H 18H0001A01
NEW HAMPSHIrtE
30 12UOOU01
60 61
140 110
0 0
0 0
70 0
93 0
0 0
0 68
93 70
0 0
98 91
0 0
156 132
o-o
97 86
0 0
A
62
106
0
94
68 -
79
0
" 0 "
81
0
90
0
131
0
100 -
0
63
116
82
149
o
0
0
53
70
0
103
0
112
o
96
o -
64
170 -
0
0
- ; 0 -
0
0
62 "
78
84
102-
0
138
0
121
39
65
152"
76
110
' 0"
0
156
o
67
0
"74-
0
143
fl-
lCS
32
"B '
66
-143
0
0
o~
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0
67'
80
50
96
0
135
o-
120
35
67
-124-
66
76
0 '
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o
0
79
o
-83
0
112
0'
116
43
68 69
-~ 134 116
69 80
90 80
0 " 69 '
0 66
107 95
64 65
_. 7g. .. 7Q
66 62
P4 -- 69
f
- 0 107
- 0 186
0 0
136 103
33 32
C
70
'113
77
75
99
77
99
-67
74
71
100
103
0
63
121
38
- A : c A : B B : c - c
71 60-71 60-67 64-71 68-71
- 92 .UP DOWN DOWN
66 »» »°
75 DOWN DOWN « «
83 UP ' "
70 DOWN
" 94 ' ' ' DOWN
_.. gg 44 - - 44'" 44 44
62 - « 44 44 44
- g - 44 44
o ** ** *
0 44
88 44 44 44 DOWN
56 -- - «»
112 UP - UP
38 - * «
BURLINGTON COUNTNEW JERSEY
- -
CAMUE.N
ELIZAHETH
GLASSBORO
- - - -
JEP?Y CITY
NEWARK
PATERSON
...._ _.
PERTH AMBOY
TRENTON
31 660002601
MEW JtKi-KY
31 ?i?uOOlA01
NEW jEKStY
31 1300002601
NEW j£W:,tY
31 1700001A01
MEW JERSEY
31 23?0001A01
MEM jE^.>f;Y
31 34H0001A01
NEW JERSEY
31 4140001A01--
MEW JERSEY
31 422U001A01
NEW JERSEY
31 5400001A01
o o
139 0
0 . 0
o - - o
0 139
103 99
--- o o
00
0 0
.... g
145
0
o -
0
101
-- o-
0
0
__
0
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..... 0
118
101
. 85
0
o -
- o
160
0
60 -
0
114
- o-
- o
o
- 85
0
0
-63
133
113
- 99
129
0
- 91
143
0
- - 85
0
0
... 59 -48
129
88
0
0
0
107
86
83
112
0
76'- 64
123 122
- o 0
64-- 63
101 84
83 70
78 -76
85 73
62 72
... 75
107
83
- 65
94
81
-86
76
80
-71 DOWN «
0 DOWN - ' * DOWN »
87 *
- o - - »
100 DOWN DOWN
0 DOWN . DOWN *
._. Q. .44. 44 44 - -44 -
88 DOWN *
- o **
-------
N A S N
U R B .A .N .. T.O T A L-. S-U S PENDED PA R T I C. U L AT-E-MATTER
A N N U A L G E" 0 M E T R I C MEANS ~ TRENDS
LOCATION :
ALBUQUERQUE
BUFFALO
NEW YORK CITY
NIAGARA FALLS
ROCHESTER
SYRACUSE
UTICA
CHAPLOTTE
OIJOHAM
GRF.ENSWORO
WINSTON-SALEM
BISMARCK
AKPON
CANTON
CINCINNATI
_.
CINCINNATI
CLEVELAND
COLUMBUS
DAYTON
TOLEDO
YOUMOSTOWN
OKLAHOMA CITY
TULSA
PORTLAND
NEW MEXICO
32 40001A01
NEW YO"K
33 66U001A01
NEW YORK
33 46H0001A01
NF.W YORK
33 4740001A01
MEW YORK
33 5760001A01
NEW YORK
33 6620001A01
NEW YOPK
33 bdaOOOlAOl
NORTH CAROLINA
34 700001A01
NORTH CI'!0001AUl
NORTH ChkOLINA
34 1740001.101
NORTH CAROLINA
34 446U002A01
NORTH DAKOTA
35 100001AOI
OHIO
36 60001A01
OHIO
36 1000001A01
OHIO
36 1220001A01
OHIO
36 1220002A01
OHIO
36 1300001A01
OHIO
36 1460001A01
OHIO
36 166000U01
OHIO
36 6600001A01
OHIO
36 7760001A01
OKLAHOMA
37 2200001A01
OKLAHOMA
37 3000001A01
OREGON
38 1460001A01
61
215
0
151
" 0
143
119
77
117
0
0
0
85
' 141
~*
- o
136
o
160
116
120
0
132
0
0
62
3 61
- o
0
167
0 '
107
123
76
129
0
.... 57 _.
- o -
74
116
166
110
- o "
126
. 94
' 115
0
123
86"
0
74
A
(>>
147
116
162
0
84
0
0
0
0
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' 0
74
116
0
117
o
112
98
1112
91
140
0
58
97
i &:
137
0
190
120
87
0
0
101
97
64
0
74
113
"140
116
- o
1'44
105
0
99
150
o
61
79
3 6<
120
0
183
- , o
o
0
0
94
- 0
0
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89
126
0
-145
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119
116
129
98
124
92
-- 63
79
» 6!
~ 77
0
164
" "" 0
0
0
0
103
n
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0
0
131
o
133
o
121
109
0
100
133
- 89
65
113
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5 61
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0
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0
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112
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0
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- 118
0
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114
" '122
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93
63
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0
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111
74
' 95
82
" "110
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117
~" 81
48
' 76
7 61
87
0
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0
109
"133
0
.
0
70
109
0
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78
129
91
103
83
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. ... .50
--- 45
.... 64
3 69
- 75
85
106
93
109
102
70
96
Bl
~- 98
95
70
- 93
-93
104
.. -64
112
97
" 93
71
112
' 64
57
72
c
'" 71
90
99
123
109
116
94
85
68
86
" 94
119
79
0
-101
101
69
116
90
92
77
117
70
55
87
) " 71
96
91
0
99
82
100
81
0
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73
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88
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0
71
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0
108
_... Q..
52
0
A I C A I B " B : C
60-71 60-67 64-71
DOWN DOWN DOWN
DOWN
DOWN oo DOWN
oo '
oo
DOWN
. 4<
DOWN o» DOWN
" " ' oo
UP
' ~ ~ '
oo oo oo
DOWN oo -- DOWN
'
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DOWN - ' oo - DOWN
oo
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DOWN DOWN
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DOWN"" " DOWN"
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c
68-71
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. . . . <
-------
N A S N URBAN TOTAL SUSPENDED PARTI. C. ULATE. MATTER
~ ANNUAL G E 0 M E T R I C M E A N S ' "' TRENDS
LOCATION :
ALLENTOWN
ALTOONA
8ETHLEHEM
ERIE
HARKIS8URG
HAZLETON
JOHNSTOWN
---
. PHILADELPHIA
PITTSBURGH
READING
SCPAHTON
WARMINSTER
WILKES BARRE
YORK
BAYAMON
CATAMO
GUAYANILLA
PONCE
SAN JUAN
EAST PROVIDENCE
PROVIDENCE
GREENVILLE
SIOUX FALLS
CHATTANOOGA
PENNSYLVANIA
39 120001A01
PENNSYLVANIA
3V 140001A01
PENNSYLVANIA
39 7H0002A01
PENNSYLVANIA
39 3060U02A01
PENNSYLVANIA
39 3HU0001A01
PENNSYLVANIA
39 39fiOOOlA01
PENNSYLVANIA
39 4460001A01
PENNSYLVANIA
39 7140001A01
PENNSYLVANIA
39 Y260C01A01
PENNSYLVANIA
39 7fc2000U01
PENNSYLVANIA
39 H04U001A01
PENNSYLVANIA
39 91fr0001A01
PENNbYLVANI A
39 9430001A01
PENNSYLVANIA
39 9S6000U01
PUEMTO »«ICO
40 380002A01
PUE.WTO *TCO
40 5&0002A01
PUEWTu WICO
40 10HOG02601
PUERTO KICO
«0 192U002A01
PUERTO -»TCO
40 2140001A01
RHOUt ISLAND
41 120001A01
RHOUt ISLAND
41 300001A01
SOUTH CAKOLINA
42 11HOOOU01
SOUTH DAKOTA
43 l*t*OOOlA01
TENNESSEE
44 3ftOOOlA01
60
- o
o'
0
o
87
0
0
144
143
-108
0
0
105
"
0
0
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0
0
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0
109
._.. no-
0
171
61
127
0
0
" 0
0
0
148 -
160
127
0
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0
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121
0
... 0 _
0
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0
74
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57
190
A
62
0
0
0
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0
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151
153
122
0
0
94
0
0
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0
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.... Q.
0
93
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80
146
63
- 99
0
0
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0
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164
0
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0
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63
115
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58
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64
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0
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79
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66
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70
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59
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63-
78
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A » C A 1 B B I C C
60-71 60-67 64-71 68-71
DOWN « - «o »o
* UP
oo
«»
DOWN - UP
. . . , ...... ... . . ^^
- ' DOWN DOWN
DOWN ' « - DOWN DOWN
- * - » «* «
- - - ' ««
* " 00
DOWN DOWN
* - - - oo
DOWN -- ' ««
- - " UP.
UP
- - -
- - - - »«
« » - *« - *o
DOWN .DOWN
** **' DOWN
- -- « * - »» - up
- DOWN -DOWN DOWN **
-------
NASN URBAN/TOTAL SUSPENDED PART. I. .C U. L..A T..E .MATTER
'"ANNUAL GEOMETRIC MEANS " "" - TRENDS
LOCATION :
KNOXVILLE
MEMPHIS
NASHVILLE
DALLAS
FORT WORTH
HOUSTON
PASADENA
SAN ANTONIO
OGOEN
SALT LAKE CITY
BURLINGTON
DANVILLE
HAMPTON
_ . . ..
LYNCH8URG
NEWPORT NEWS
NORFOLK
PORTSMOUTH
RICHMOND
ROANOKE
SEATTLE
SPOKANE
TACOMA
CHARLESTON
TENNESSEE
44 1740002A01
TENNESSEE
44 2340001A01
TENNESSEE
44 2b4000lA01
TEXAS
45 1310002A01
TEXAS
45 1B8U001A01
TEXAS
45 ZbbOOOlAOl
TEXAS
*5 4060002A01
TEXAS
45 4570001A01
UTAH
46 680001A01
UTAH
"6 920001*01
VERMONT
47 140001A01
VIRrtlNIfl
48 92000U01
VIRGINIA
48 1440001A01
VIRGINIA
48 1040001A01
VIRC-ilNI ft
48 2120001A01
VIRGINIA
48 ?140001A01
VIRGINIA
48 2440001A01
VIRPlNIft
48 ?660002A01
VIRGINIA
^8 2700001A01
WASHINGTON
49 ia<»ll001A01
WASHINGTON
49 2040001A01
WASHINGTON
4<* 214000U01
WFST VIRGINIA
so ifeooouoi
60
o
94
119
0
72
103
0
115
0
108
52
81
' 74 -
_
0
0 "
82
0
0
0
64
111
0 ~
165
61
* - o "
93
107
0
0
89
0
80
0
0
58
0
50
0
0
" 82 "
87
0
56
76
101
- 0~
0
A
62
0
101
143
0 '
B4
79
0
0
0
140
51
62
o "
0
0 "
"94
0
0
0 ""
67
0
... 97
167
' " "B "" " " "
63
0
0
124
o -
0
94
_ Q ..._
72
0
107 "-"
0
0
- 54
0
o
108
81
0 "
95
58
79
- o
1S7
64
" 0
109
108
0
0
96
"' 0
91
96
115
64
86
0
0
0
"104"
0
0
.... 0 .
60
0
~63
210
65
0
97
107
0"
0
119
....... 0...
70
0
-99
50
0 ~
-TO""
"115
. fl .. _
'108 "'
94
0
... 93
88 -
0
0
144
66
~ "0 "
102
103
.... Q ...
0
92
0 "
68
61
86
69
79
0~
0
... 0
"75 '
0
" 0
0"
72
... 0 -
' 0 "
174
67
0
88
99
... Q
0
105
'" o
'76 T"-
" 0
'"70 ~~"
0 ~~
_. Q ...
~ 65
'99 '
0 """
86
81
0
74
64 -
0
o
146
68
0
74
101
'71
0
74
0
57
53
65"
,
40
79
60 '
111
0
95 ~
110
79
- 77 ""
58
0
- 0
239
69
10S "
69
89
'76
81
85
77
49
78
- 78 -
4?
70
44
89
62
88 '
78
80
85 '
54
74
- 69 -
177
c
70
95
78
90
102
78
87
74 '"
54
89
82 "
59
89
58 ~
114 "
67
78 '
92
83
93
62
79
'62
156
~ A : C A : B B : c C
71 60-71 60-67 64-71 69-71
'83 »«
89 DOWN * DOWN
0 DOWN DOWN *
'83 ' UP
73 « »»
95 «» DOWN UP
83 --" ' ' «»
55 ' DOWN DOWN DOWN
94 « UP
0 " DOWN' ' DOWN DOWN
0 DOWN DOWN ' UP
0 - « ' «« a»
53 «« (jp -- - DOWN - «
100 "
48 " - ' DOWN
75 ' » * off »»
0 DOWN
0
87 ' UP ** ** »»
58 DOWN " " DOWN
82 DOWN
50 '"' DOWN DOWN
130 « DOWN
SOUTH CHARLESTONWEST VIRGINIA
50 176000U01
0
0
0
0
0
0
0
o -
0
0
117
94 - «
-------
N A S N
URBAN TOTAL SUSPENDED PARTICULATE MATTER
ANNUAL GEOMETRIC MEANS ' TRENDS
LOCATION :
EAU CLAIRE
KENOSHA
MADISON
MILWAUKEE
RACINE
SUPERIOR
CASPER
CHEYENNE
WISCONSIN
51 840002A01"
WISCONSIN
51 1540001A01
WISCONSIN
51 1860001A01
WISCONSIN
51 2200001A01
WISCONSIN
51 2bBU001A01
WISCONSIN
51 34S0001A01
WYOMING
52 120001A01
WYOMING
52 140001A01
60
.0
'
0
0
137
145
0
o
0
61
0
0
77
0
0
0 '
0
29
-A '
62
0
0
0
o
73
0
0
33
63
" 0
88
73
111
0
0
0
o
64
0
0
0
133
99
67
- 0"
40
65
- o - -
89
79
132
0
0 '
""0
31
B
66
' 0
0
0
129
0
0
0
-33
67
o
64
55
125
0
o --
55
-31
68
0
64
62
13V
0
75
55 '
29
69
" 41 '
67
59
110
50
63
61 '
28
C
70
56
67
68
91
62
76 '
57
34
A : C ~ A J B B 1 C
71 60-71 60-67 64-71
46 ' ": ' '"
68 DOWN *
64 DOWN « «
84 »» «« DOWN
0 DOWN « DOWN
Q ... . f
-------
N A S N
NO N ----u R-B-A-N ---T-O--T A L s USPENDEDPA R-T-I-C-U L-A T E M A T T E R
ANNUAL GEOMETRIC MEANS TRENDS
LOCATION »
GRAND CANYON NATARIZONA
3 370001A03
MONTGOMERY COUNTAHKANSAS
4 1760001A03
HUMBOLDT COUNTY CALIFORNI A
5 3300001A03
MESA VEKDE NATIOCOLOfcADO
6 1530002A03
HARDEE COUNTY FLORIDA
10 1680001A03
BUTTE COUNTY IDAHO
13 340001A03
MONROE COUNTY INDIANA
15 2800001A03
PARKE COUNTY INDIANA
15 3860001A03
ACAOIA NATIONAL MAINE
20 10001A03
SHANNON COUNTY MISSOURI
26 4480002A03
GLACIER MATIONALMONTANA
27 570001A03
THOMAS COUNTY NEBRASKA
28 2*H0001A03
WHITE PINE COUNTNEVAOA
29 560001A03
COOS COUNTY NEW HAMPSHIRE
30 140001A03
JEFFERSON COUNTYNEW YO^K
33 3340001A03
CAPE HATTERAS NANORTH CAROLINA
34 bv0001A03
CHEROKEE COUNTY OKLAHOMA
37 4M0001A03
CURWY COUNTY OREGON
38 440001A03
CLARION COUNTY PENNSYLVANIA
3" 1760001A03
WASHINGTON COUNTRHOUI: ISLAND
41 3B0002A03
SLACK HILLS NAT SOUTH OOKOTA
43 11(J001A03
CUMBERLAND COUNTTENNESSEE
44 66000 1A03
MATAGOHOA COUNTYTEXaS
45 3b3000lA03
TOM GREEN COUNTYTEXAS
45 b20000lA03
ORANGE COUNTY VERMONT
47 360001A03
60
. . 0
36
0
0
0
0
0 "
56
22
o "
10
24
11 " '
16
0
- 32
39
0
45 -
0
0
0 "
0
0
42
" A
61
15 -
32
41
o
0
16
0 ~
53
25
o -
11
18
11 ;-
16
26
30 -
37
0
39
0
0
0
0
0
35 "
62
14
25
0
0
0
0
0
52
25
0
10
15
15
0
25
0
45
0
0
0
17
0
0
0
39
63
16 -
35
33
0 "" '
0
16
0
50
0 '
..._. .Q
o
20
11
o
27
--35
49
0
28
0
19
o
0
0
"31 -"
64
IV
0
35
0
0
13
o
57
24
- o
0
23
- 10
20 -
37
... gg .
' 42
0
-41
0
26
0 "
0
~ 0
- 38
B
- 65
19
0
37
0
0
12
0
48
0
o -
16
17
' ~ 1 0 ' ~
... j g - .
" 33 ~"
6 0
47
57
_.. ^g
o
19
0 "~ '
35
o
36 ' "
66
27
38
35
0
0
0
46 '"
40 "
22
0
12
23
6
23
25 ""'
59
45
73
37
0
14
0
30
0
41
67
17
31
41
0
o "
11
47
40 '-
25 -
0
12
19 -
6
21 -
25
50
39
46
47
o --
23
0
32
o
41
68
21
21
48
"0
0
9
39
33
22
o -
-
8
19
8 '
is -
21
47
24
49
3S -
0
8
... Q
25
0
28 ~
(
69
15
24
38
14 '-
24
8
39
40
18
27
11
16
12
15
29
56
33
47
29
28
12
28""
27
0
27
70
21
26
38
19 '
32
8
33 "
64
25
26
0
20
14
-20 '
29
84
45
47
42 -
30
0
39 "
30
51
28
- AtC A ! B B : C -C
71 60-71 60-67 64-71 68-71
0 ' UP UP «
33 DOWN DOWN UP
0 « oo * o*
"17 " "- ' - ' "
38 UP
11 DOWN DOWN DOWN LOW
40 DOWN o«
59 - - * DOWN UP
23 *« »
' 27 ' ' -
13 «« UP DOWN UP
- o "" ' * »o o»
0 DOWN UP ' - UP
19 «* ' " UP DOWN UP
22 ' ' ** ' ** " ** **
o - UP UP ~- UP
0 DOWN DOWN UP
0 DOWN
33 « - DOWN . ««
35 -
14 DOWN . DOWN UP
o - " «
37 UP
61 «
~ 29 ' "' DOWN DOWN " «
-------
NASN NONrURBAN TOTAL SUSPENDED PARTICULATE MATTER
_ A N N O.A l,__6_E_0 M E _T_R .1 C__._M_E_A N S TRENDS.
A _B_ _ c A « c A : B B : c c
LOCATION :
60 61 62 63 64 65 66 67 68 69 70 71 60-71 60-67 64-71 68-71
SHENANOOAH NATIOVIRGINIA
48 2890001 A03 32 30 32 31 26 32 30 27 27 31 31 28 * « *
WYTHE COUNTY VIHGINU
46 34*0001 A03 0 0 0 0.00 0 0 0 32 32 25 . *
KING COUNTY WASHINGTON
4V 980002 A03 0. .... 0 .. 0.. 0 0 Q 0 0 Q_ .0 32 . 28 _ .. _
YELLOWSTONE PARKWYOMING
52 860001 A03 0 7.8 7 7 11 8 .' 7 _ . 6 7 0 8 . DOWN LOW
-------
LOCATION 1
MONTGOMERY
PHOENIX
TUCSON
ANAHEIM
LONG BEACH
SAN BERNARDINO
SAN DIEGO
SAN FRANCISCO
SAN JOSE
SANTA ANA
DENVER
DENVER
BRIDGEPORT
HARTFORD
NEW HAVEN
WATERdURY
NEWARK
WILMINGTON
MIAMI
ST PETERSBURG
TAMPA
ATLANTA
COLUMHUS
SAVANNAH
CHICAGO
-
ALABAMA
1 2460001
ARIZONA
3 600002
ARIZONA
3 860001
CALIFORNIA
5 230001
CALIFORNIA
b 4100001
CALIFORNIA
5 66HOU01
CALIFOH-JlA
5 6H00001
CALIFORNIA
5 6660001
CALIFORNIA
5 6980002
CALIFORNIA
b 71B0001
COLORADO
6 bHOOOl
COLORAOO
6 b80002
CONNECTICUT
7 60001
CONNECTICUT
7 4?0001
CONNECTICUT
7 700001
CONNECTICUT
7 1240001
DELArfAWE
B 1 4 0 0 0 1
OELA* AHt
8 260003
FLOMlOA
10 2700002
FLOKIUA
10 39M0002
FLORIDA
10 4360002
GEORGIA
11 200001
GEORGIA
11 1280001
GEOHlilA
11 obOOOOl
ILLINOIS
14 122U002
A01
A01
A01
A01
A01
401
A01
A01
A01
A.01
A01
A01
A01
401
A01
A01
A01
A01
A01
A01
A01
A01
A01
401
... A N N U
64
0
0
0
0
0
0
0
0
0
0
22
0
0
. 0
45
0
0
I 0
0
0
0
; o
0
0
0
A L
65
0
0
0
0
0
0
0
0
0
0
16
0
0
72
0
0
0
0
0
0
0
0
0
0
b
A R
B
66
0
0
0
0
0
0
0
0
0
0
0
0
0
62
101
0
0
0
0
0
0
0
0
0
0
I T H
67
0
0
0
0
0
0
0
0
0
0
0
0
0
85
136
. 0
0
0
0
0
0
0
0
0
0
MET
66
0
10
0
15
56
10
12
12
7
0
0
17
79
53
109
0
26
0
7
0
20
31
0
0
174
I.C....H
C
69
10
10
10
13
35
9
12
15
9
12
17
17
0
56
65
25
0
0
10
26
23
26
0
19
164
E A. N
70
7
0
7
9
35
7
10
9
0
7
13
11
40
57
40
17
16
17
7
17
17
20
a
10
120
s
71
6
10
0
12
0
0
0
a
6
0
0
0
0
0
40
44
0
30
5
16
20
22
6
7
73
ANN
64
0
0
0
0
0
0
0
0
0
0
20
0
o
0
_.. 29 .....
0
0
0
0
o
0
0
o
0
0
U
65
0
0
0
0
0
0
0
0
0
0
11
0
0
53
0
0
0
0
0
0
0
0
0
_0
0
A L;.
B
66
0
0
0
0
0
0
0
0
0
0
0
0
0
49
0
0
0
o
o
0
0
0
0
0
6 E 0
67
0
0
0
.... o
0
_._ o.
0
0
0.
0
0
0
0
61
73
0
0
0
0
0
0
0
0
0
0
H E T R
.. 68
0
8
0
41
8
9
8
0
...... o
U
. ... 53
33
0
18
' 0
5 .
0
14
21
0
0
125
..I...C.J
C
. 69
9
9
9
11
30.
9
10
10
8 _..
11
. 15
14
0
34
33
16
0
0
9
18
17
17
0
. 14
114
1_E.
70
5
0
5
6
23
5
7
6
0..
5
8
8
12
30
18
12
8
9
5
10
9
11
6
8
48
» N.S.. .
71
5
8
0
9
0
0
0
7
5..
0 "
0
0
0
0 .
23
32
0
20
4
9
11
16
_ 5
6
37
TRENDS
B : C C
64-71 68-71
LOW
LOW
LOW
LOW
... LOW
LOW
LOW
LOW
LOW
DOWN
DOWN
DOWN
DOWN
DOWN DOWN
UP
DOWN
UP
LOW
DOWN
LOW
. ... . .LOW
DOWN
-------
LOCATION 1
EAST CHICAGO INDIANA
IS. 11H0001 AOI
EVANSVILLE INDIANA
IS 1300001 AOI
HAMMOND INDIANA
IS 1760001 AOI
INDIANAPOLIS INDIANA
IS 2040001 AOI
NEW ALBANY INDIANA
15 2S>b0002 AOI
OES MOINES IOWA
Ih 1180001 AOI
WICHITA KANSAS
17 3740001 AOI
COVINGTON KENTUCKY
1R 800001 AOI
LEXINGTON KENTUCKY
18 2300001 AOI
NEW ORLEANS " LOUISIANA
19 2020002 AOI
BALTIMORE MARYLAND
21 120001 AOI
SPRINGFIELD MASSACHUSETTS
22 21*0002 AOI
WORCESTER ' MASSACHUSETTS
' 22 20*0001 AOI
DETROIT MICHIGAN
23 1140001 AOI
FLINT MICHIGAN
23 IbHOOOl AOI
GRAND RAPIOS MICHIGAN
23 Ib20001 AOI
LANSING MICHIGAN
23 ?8*0001 AOI
SAGINAW MICHIGAN
23 4760001 AOI
MINNEAPOLIS MINNESOTA
2* 2260001 AOI
ST LOUIS MISSOUHI
26 »2BU001 AOI
ST LOUIS MISSOURI
26 42BU002 AOI
OMAHA ' " ' NEBHASK*
28 IbHOOOl AOI
BURLINGTON COUNTNEW JERSEY
31 660002 AOI
CAMDEN NEW JERSEY
31 720001 AOI
ANN
6*
0
0
0
66
0
12
0
0
0
0
100
0
0
0
0
0
0
0
27
87
0
0
0
0
N
U.A L
65
0
0
0
47
0
0
0
0
o
0
9
0
10
0
0
0
0
34
0
0
0
0
A S N
A R I T
B
66 67
105
66
0
0
0
0
0
35
0
0
0
0
0
1*
0
0
0
0
44
0
0
0
0
0
117
47
0
51
0
15
0
28
0
0
0
0
42
0
0
0
0
47
_ 84
0
20
58
139
U R B A
..H. M.E. T_
68
75
24
0
39
45
11
7
36
17
11
0
84
67
66
23
22
0
0
28
91
86
15
52
126
N S U L
.1 .C..M E
C
69 70
98
32
85
41
38
17
8
31
0
9
58
63
76
55
25
19
23
23
26
73
69
15
33
131
57
25
58
33
0
12
6
26
12
7
54
87
31
38
16
13
22
17
38
0
40
0
32
69
FUR
A N.S
71
0
19
32
11
b
6
6
19
0
6
29
0
45
12
0
0
0
12
0
10
28
13
10
0
0 I 0 X
. ANN
64
0
0
0
0
8_
0
0
0 _
0
65
0
0
0
0
0
0
0
17
70
0
0
0
. 0
I D
U A
65
0
0
0
25
0
0
0
0
0
0
0
7
0
0
0
0
18
0
0
0
0
0
E
L G
B
66
73
49
0
0
0
0
0
29
0
0
0
0
0
1°
0
0
0
0
17
0
0
0
0
0
E 0 M
67
83
35
0
32
0
0
21
0 _
0
0
0
29
0
0
0
0
24
56
0
14
43
110
E T R
... 68
56
18
0
30
29
9
6
27
11
a
58
48
54
19
18
_ 0
0
16
78
66
10
36
92
I C
69
72
24
53
26
25
.. 11
a
23
0
8
42
51
45
46
20
16
17
19
16
46
50
11
25
108
H E A
C
70
33
18
29
18
0
7
5
18
7
6
33
51
15
23
12
10
13
10
15
0
23
0
15
28
N S
71
0
14
... 20
8
4
5
5
13
5
15
0
24
9
0
0
0
8
0
7
19
9
7
0
T R E
B i C
64-71
DOWN
DOWN
DOWN
DOWN
DOWN
UP
DOWN
DOWN
DOWN
N 0 S
C
68-71
DOWN
DOWN
DOWN
DOWN
LOW
DOWN
LOW
LOW
DOWN
DOWN
DOWN
DOWN
DOWN
DOWN
DOWN
DOWN
LOW
DOWN
DOWN
-------
LOCATION S
GLASSBORO
JERSEY CITY
NEWARK
PATERSON
ALBUQUERQUE
ALBANY
BUFFALO
ROCHESTER
GREENSBORO
AKRON
CANTON
CINCINNATI
CINCINNATI
CLEVELAND
COLUMBUS
DAYTON
TOLEDO
YOUMiSTQWN
OKLAHOMA CITY
TULSA
ALLENTOWN
JOHNSTOWN
PHILADELPHIA
PHILADELPHIA
NEK JENSEY
31 1700001 A01
NEW JERSEY
31 2310001 A01
NEW JERSEY
31 34«0001 A01
NEW JEWSEY
31 41*0001 AOl
MEW MEXICO
32 00001 A01
NFW YOW*
33 40001 A01
NEW Y04H,
33 660001 A01
NEW YORK
33 5T60001 AOl
NORTH CAROLINA
3* 17*0001 A01
OHIO
36 60001 A01
OHIO
3«. 1000001 A01
OHIO
36 1280001 »01
OHIO
36 1220003 A01
OHIO
36 1300001 A01
OHIO
36 1460001 A01
OHIO
36 1660001 A01
OHIO
36 6600001 A01
OHIO
36 77f>0001 A01
Ox.LA-'O'-'a
37 P^OOOOl »01
OKLAi-OMA
37 3000001 A01
PENNSYLVANIA
39 12U001 A01
PENNSYLVANIA
.19 44>>0001 AOl
PENNSYLVANIA
39 7140001 AOl
PENNSYLVANIA
39 714000Z AOl
ANN
6*
0
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204
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0
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87
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31
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63
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65
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42
0
57
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B
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67
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68
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69
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84
73
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71
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0
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54
ANN
64
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IS
12
15
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-- 9
9
0
4
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37
TRENDS
B : C C
64-71 68-71
DOWN LOU
UP
DOWN DOWN
DOWN
LOW
OO.N
DOWN
DOWN
LOW
DOWN
DOWN
DOWN
OOKN LI*
DOWN
00»N COWN
GO*N LO*
LOii
OO.N
-------
'..J
LOCATION 1
PITTS8UHGH
HEADING
WARMINSTEP
YOHK
BAYA^ON
GUAYANILL*
PWOVIUENCE
CHATTANOOGA
MEMPHIS
NASHVILLE
DALLAS
FOHT. WOHTH
HOUSTON
PASADENA
SAN ANTONIO
SALT LAKE CITY
NORFOLK
RICHMOND
SEATTLE
CHARLESTON
MILWAUKEE
CASPEH
PENNSYLVANIA
39 72»,0001 AOI
PENNSYLVANIA
3« 7b?000l AOI
PENNSYLVANIA
39 91*>OC01 AOI
PENNSYLVANIA
39 9Sh0002 AOI
PUEHTO HICO
40 3C0002 AOI
PUEKTO «ICO
40 lOodOOZ AOI
PHOOt li-l.ANO
41 300001 AOI
TENNKSSEE
44 3HU001 AOI
TtNKtSSt t
44 ? J » 0 U 0 1 AOI
TEMNESSfE
44 2540001 AOI
TE'filNI»
^ o ijiuooi AOI
ISCO'.SIN
bl 2
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