-------
PM25 SCC-FDMS-Gravimetric
PM2 5 SSI w/ Correction Factor - TEOM Gravimetric 30
degC
PM25 SSI w/ Correction Factor- TEOM Gravimetric 50
deg C
PM25 SSI w/ No Correction Factor - TEOM Gravimetric
50 deg C
PM2 5 VSCC w/ Correction Factor - TEOM Gravimetric
PM2 5 VSCC w/ Correction Factor - TEOM Gravimetric 30
deg C
PM2 5 VSCC w/ Correction Factor - TEOM Gravimetric 50
deg C
PM2 5 VSCC w/ No Correction Factor - TEOM
Gravimetric 30 deg C
PM2 5 VSCC-FDMS-Gravimetric
PM2 5 WINS w/ Correction Factor - TEOM Gravimetric 30
deg C
PM2 5 WINS w/ No Correction Factor - TEOM Gravimetric
30 deg C
Region
North Central
Northeast
Northwest
South Central
Southeast
Southwest
State
North Central
Illinois
Iowa
Kansas
Minnesota
Missouri
Nebraska
Wisconsin
Northeast
District of Columbia
Indiana
Maryland
Massachusetts
New Jersey
0
-1.20
0
-0.67
0
+1.40
-1.39
0
-1.89
-1.20
0
+2.57
-0.82
-1.30
+1.86
+1.36
0
-2.68
0
0
0
-2.55
0
0
+4.63
+2.90
0
+1.56
+2.57
0
0
-0.16
-0.12
-0.23
-0.24
0
-0.14
-0.30
+0.10
0
+1.20
+0.21
+0.35
+0.20
+0.09
0
-1.04
0
-1.17
-1.23
-1.09
-1.46
0
-0.08
-0.14
+0.15
-0.21
0
14
-------
New York
Pennsylvania
West Virginia
Northwest
Idaho
Montana
Oregon
Washington
South Central
Louisiana
Mississippi
Oklahoma
Texas
Southeast
Alabama
Florida
Georgia
Kentucky
North Carolina
South Carolina
Tennessee
Southwest
California
Nevada
New Mexico
Utah
Season
Autumn
Spring
Summer
Winter
+2.39
+1.31
0
0
+0.76
-0.38
0
0
-0.82
0
0
-0.87
0
+0.74
+2.46
-0.57
0
0
0
0
+3.38
0
+0.19
+0.35
+0.50
0
-0.06
-0.07
0
0
-0.26
0
0
0
0
-0.12
0
+0.06
+0.04
+0.06
0
+0.11
-0.06
0
+0.04
0
-0.04
0
-0.09
-0.12
-0.12
0
C. Atmospheric Data Type Results
The data from semi-continuous monitors was collected from 2004 - 2007. For the
atmospheric data type, there were 32,376 days of collocated FRM/SC data. Appendix E gives the
data counts by method, region, state, and season. Though not quite as nicely spread as with the
acceptable type data, the atmospheric data were well-distributed within the various categorical
variables' levels. With 24,224 observations, there was a clear predominance of the PM2.5 SCC-
FDMS-Gravimetric method over the other three atmospheric data type methods. All states
15
-------
represented had at least hundreds of observations, and the regions and seasons all had at least
thousands of data points at all levels.
The performance of the regression for the atmospheric data type was similar to that for
the acceptable data. There were some relatively minor differences in that the intercept term was
found to be statistically different from 0 with an estimated value of 1.67 ug/m3. With an estimate
of 0.66, the slope was statistically different from 1 and less than the slope from the acceptable
data type regression. At 82%, the R2 value from the regression was a bit lower than for the
acceptable.
As for the acceptable data type, residual analysis and cross-validation both suggested
good performance of the regression. Very similar comments apply to the diagnostic evaluation
for the atmospheric data type as appear above for the acceptable data. One minor difference was
that the atmospheric data residuals did not exhibit quite as much a spiked nature as the
acceptable. The atmospheric data regression generated predicted values that were within 9.14
ug/m3 of the measured FRM value more than 98% of the time; more than 90% of the time, the
predictions agreed to within 5.22 ug/m3 of the measured level.
Figure 5 presents the observed FRM values and the predicted PM2.5 values in side-by-
side histograms. Figure 6 provides the same display, but with the data divided by region of the
country. Figure 7 plots cumulative distribution functions (CDFs) for the FRM data in black and
the predicted values in red. As with the acceptable data type, the figures show very good
ATM PM2.5 data observed and predicted
1
T 1 1 1 1 ' I I I I 1 1 1 1 1 1 1 1
0 15 30 45 60 75 SO 105 120 135 150 165 0 15 30 45 60 75 30 105 120 135 150 165
PM2.5 U.g/1113)
Figure 5. Overall Atmospheric Combined Histogram
16
-------
agreement between observed FRM values and the predictions based on the SC daily averages
when viewed over the entire range of observed values. Table 7 reports the results from the
regression for the atmospheric data type. As noted above, the estimates for the basic underlying
model are 1.67 ug/m3 for the intercept and 0.66 for the slope. The slope is significantly different
from 1. Table 7 is read exactly as is Table 6, which reports the results for the acceptable data
type.
ATM PM25 data - observed aid predicted
I
49-
FfM
11-,
Predicted
IL
49-
29-
49-
49-
29'
111 h-^
rfftw
n i i r
\ \ \ \
0 IS 3D 4S 60
90 1«S 120 13S IS» IBb 0 IS 39 4S BO fb 99 I Ob 129 I3b IS9 IGb
Figure 6. Regional Atmospheric Combined Histogram
17
-------
CDF for ATM PM2.5 data
50
PM2.S (ug/m3)
Figure 7. Overall Atmospheric Combined CDF (black: FRM, red: predicted)
The base model presented in Table 7 and Figure 8 for the atmospheric data type
illustrates the overall relationship between the measured SC values and the predicted FRM
values without the benefit of taking into account any further information regarding method,
location, or season. With an intercept of 1.67 ug/m3, the estimated base model for the
atmospheric SC data indicates a slight overall bias of SC values to be higher than the FRM. But
with a slope of only 0.66, the basic estimated model suggests a general tendency not to respond
quickly enough to increasing PM2.5 levels, as reported by the FRM monitor. Therefore, the base
model alone will slightly overpredict at very low levels (to about 5 ug/m3) and then underpredict
the FRM values, as Figure 8 shows.
18
-------
50
40
30
E
u.
S
S
1
10
= f.67+SCMx0.66
10 20 30
Measured SCM lug ni3|
40
50
Figure 8. Base Model FRM Regression for Atmospheric Data
(black: 1:1 line; red: predicted from base model)
Table 7. FRM Regression for Atmospheric Data: Intercept, Slope, and
Adjustment Estimates
Base
Model
FRM = /N7+SCMxSLP
Intercept
1.67
Slope
+0.66
Adjustments
Method
PM2 5 SCC w/ No Correction Factor - TEOM Gravimetric
30 deg C
PM2 5 SCC w/ No Correction Factor - TEOM Gravimetric
50 deg C
PM2 5 SCC-FDMS-Gravimetric
PM2 .5 VSCC-FDMS-Gravimetric
Region
North Central
Northeast
South Central
Southeast
INT
0
0
+0.41
0
+0.43
-2.03
+1.36
+1.53
SLP
+0.20
+0.94
0
0
+0.13
+0.30
-0.08
+0.17
19
-------
Southwest
State
North Central
Iowa
Kansas
Missouri
Wisconsin
Northeast
Connecticut
Michigan
New Hampshire
New Jersey
New York
Ohio
Pennsylvania
Vermont
South Central
Oklahoma
Southeast
Alabama
North Carolina
South Carolina
Southwest
Arizona
Colorado
Season
Autumn
Spring
Summer
Winter
0
-1.19
-1.59
-1.73
0
+1.60
+0.64
+1.55
+2.53
+3.32
+2.47
+1.09
0
0
-3.56
-5.40
0
-0.74
0
-0.48
0
-0.48
0
0
+0.14
+0.05
+0.16
0
-0.08
-0.24
-0.17
-0.09
-0.15
-0.14
-0.11
0
0
+0.15
0
0
+0.16
0
-0.06
-0.11
-0.06
0
D. Raw Data Type Results
The data from semi-continuous monitors was collected from 2004 - 2007. For the raw
data type, there were 99,372 days of collocated FRM/SC data. Appendix E gives the data counts
by method, region, state, and season. As with the other data types, the observations were broadly
distributed across the levels of the categorical variables. The smallest number of observations
was 60 for the PM2.5 WINS w/ No Correction factor-TEOM Gravimetric 50 deg C method. All
other levels for any variable had at least hundreds, more often thousands or tens of thousands, of
observations.
20
-------
The performance of the regression for the raw data type was similar to that for the
acceptable data. The intercept was not found to be statistically different from 0, and the final
model was estimated without an intercept term. The slope was found to be higher than for the
acceptable data; the estimate was 1.45 and was statistically different from 1. The R2 value of
88% was only slightly lower than the 90% for the acceptable data type.
Again, residual analysis and cross-validation both suggested good performance of the
regression. Very similar comments apply to the diagnostic evaluation for the raw data type as
appear above for the acceptable data. The raw data regression predicted values were within 8.93
ug/m3 of the measured FRM value over 98% of the time, and more than 90% of the time was
within 4.44 ug/m3 of the measured level.
Figure 9 presents the observed FRM values and the predicted PM2.5 values in side-by-
side histograms. Figure 10 provides the same display, but with the data divided by region of the
country. Figure 11 plots cumulative distribution functions (CDFs) for the FRM data in black and
the predicted values in red. As with the two earlier data types, the figures show very good
agreement between observed FRM values and the predictions based on the SC daily averages
when viewed over the entire range of observed values. Table 8 reports the results from the
regression for the acceptable data type. As noted above, the estimates for the basic underlying
model are 0 for the intercept and 1.45 for the slope. The slope is significantly different from 1.
Table 8 is read exactly as is Table 6, which reports the results for the acceptable data type.
RAW PM2.5 data - observed and predicted
Predicted
0 15 30 45 60 75 30 105 120 135 150 165 0 15 30 45 60 75 90 105 120 135 150 165
PM2.5 U.q/m3)
Figure 9. Overall Raw Combined Histogram
21
-------
o
-
RAW PM2.5 data - observed and predicted
iFRfl
70
Predicted
EL
o
a.
it-
LL'
a
o
-
a.
19 '
Jill rv-i_
I Hv^^
I IT-u-.
S?
&
o
-
HO
jIL
i I I i I i
1 I I i I
IS 3D 45 GO 75 30 105 1?0 13S 159 1C5 0 15
PHJ.5 (u«/n3)
JO H5 SO 75 3D IDS 120 US 150 155
Figure 10. Regional Raw Combined Histogram
22
-------
CDF for RAW PM2.5 data
40 50 60
PM2.S (ug/m3)
Figure 11. Overall Raw Combined CDF (black: FRM, red: predicted)
The base model for the raw data presented in Table 8 and Figure 12 illustrates the overall
relationship between the measured SC values and the predicted FRM values without the benefit
of taking into account any further information regarding method, location, or season. As for the
acceptable data type with an intercept of 0, the estimated base model for the raw SC data gives
no evidence of any general bias of the SC values over the FRM. However, in contrast to both the
acceptable and atmospheric data types, the slope of the base model is estimated to be above 1.0
at 1.45. Because of this, the base model used will consistently overestimate the FRM values, as
Figure 12 clearly demonstrates.
23
-------
FRM = 0.00 + SCM x f.45
10 20 30
Measured SCM dig m3)
40
Figure 12. Base Model FRM Regression for Raw Data
(black: 1:1 line; red: predicted from base model)
Table 8. FRM Regression for Raw Data: Intercept, Slope, and Adjustment Estimates
Base
Model
FRM = /W7+SCMxSLP
Intercept
0.00
Slope
+1.45
Adjustments
Method
Automated Wins 2.5|jm Impactor-TEOM Gravimetric
Andersen BAM w/ PM2 5 SCC-Beta Attenuation
Andersen BAM w/ PM25 VSCC-Beta Attenuation
Met-One BAM w/ PM25 SCC-Beta Attenuation
PM2 .5 SCC w/ Correction Factor - TEOM Gravimetric 30
degC
PM2 5 SCC w/ Correction Factor - TEOM Gravimetric 50
degC
PM2 5 SCC w/ No Correction Factor - TEOM Gravimetri
PM25SCC w/ No Correction Factor- TEOM Gravimetric
30 deg C
INT
-1.50
-1.73
-0.86
-1.15
-3.59
-1.55
-1.56
-1.71
SLP
0
-0.28
-0.39
-0.29
0
0
0
0
24
-------
PM25SCC w/ No Correction Factor - TEOM Gravimetric
40 deg C
PM25SCC w/ No Correction Factor - TEOM Gravimetric
50 deg C
PM2 .5 SCC-FDMS-Gravimetric
PM25SSI w/ No Correction Factor - TEOM Gravimetric
50 deg C
PM2 .5 VSCC w/ No Correction Factor - TEOM Gravimetric
30 deg C
PM2 .5 VSCC w/ No Correction Factor - TEOM Gravimetric
50 deg C
PM2 5 VSCC-FDMS-Gravimetric
PM25 WINS w/ No Correction Factor- TEOM Gravimetric
30 deg C
PM25 WINS w/ No Correction Factor- TEOM Gravimetric
50 deg C
Region
North Central
Northeast
Northwest
South Central
Southeast
Southwest
State
North Central
Illinois
Iowa
Kansas
Missouri
North Dakota
South Dakota
Northeast
Connecticut
Delaware
Indiana
Maine
Maryland
Michigan
New Hampshire
New Jersey
New York
0
-1.54
+0.58
+1.08
-1.78
-2.83
0
-0.91
0
+3.60
+1.36
+3.27
+3.67
+2.53
0
-2.14
-3.34
-4.00
-2.30
0
0
+0.37
-1.44
+2.40
+2.10
+1.40
+1.46
+1.27
+1.26
-1.29
-0.37
0
-0.50
-0.29
0
0
-0.50
+0.28
0
-0.36
-0.21
-0.22
-0.22
-0.31
0
+0.08
+0.34
+0.15
-0.39
+0.16
0
0
0
-0.16
+0.06
-0.18
-0.10
+0.06
-0.06
+0.03
25
-------
Ohio
Pennsylvania
Rhode Island
Northwest
Idaho
South Central
Arkansas
Oklahoma
Texas
Southeast
Alabama
Florida
Kentucky
North Carolina
South Carolina
Tennessee
Virginia
Southwest
Arizona
California
Colorado
Nevada
New Mexico
Utah
Season
Autumn
Spring
Summer
Winter
+2.46
+0.81
0
0
-0.74
-3.54
0
0
-2.21
0
-1.72
0
0
0
+5.63
+1.45
+4.39
0
+4.65
0
-0.44
+0.16
+0.17
0
-0.07
-0.04
0
0
-0.10
-0.07
0
0
0
0
+0.03
0
0
0
-0.31
-0.23
-0.40
-0.11
-0.54
0
-0.07
-0.15
-0.14
0
E. Utilization of the Predictive Equations
As noted above, the base models presented in Tables 6, 7, and 8 describe the overall
relationship between the measured SC values and the predicted FRM values, without the benefit
of taking into account any of the categorical variables. The slope and intercept adjustments found
in the tables are additive terms that modify the base models to take advantage of the knowledge
of each specific method, region, state, or season. The adjustments may be applied individually or
collectively, in whole or in part. The only caveat to this is that if the state is known, then the
region is also automatically determined, and both regional and state adjustments should be made.
The tables may be used to predict a daily FRM value from the average of hourly SC
measurements as follows.
26
-------
(1) For the particular method, region, state, and season that apply, add or subtract
the value appearing in the INT column of the table from the basic estimate.
This becomes the adjusted intercept, INTadj.
(2) Similarly, adjust the basic slope estimate via the values in the SLP column to
obtain
(3) Using the mean of the SC measurements, SCM, calculates the FRM values
as FRM = INTadj + SCM SLPadj.
This procedure is illustrated below. First, the estimated base models are:
Acceptable: FRM = 0 + 0.90 SCM
Atmospheric: FRM = 1.67 + 0.66 SCM
Raw: FRM = 0 + 1.45 SCM
where, for clarity, the estimated intercepts of 0 are explicitly entered where applicable.
Now consider Table 9, which has been extracted from Tables 6, 7, and 8.
Table 9. Selected Intercept and Slope Adjustments
Category
PM25SCC-
FDMS-
Gravi metric
Southeast
North
Carolina
Spring
Acceptable adjustments
Intercept
0
1.36
-0.57
0.35
Slope
0
0.09
0.11
-0.12
Atmospheric
adjustments
Intercept
0.41
1.53
-5.40
0
Slope
0
0.17
0
-0.11
Raw adjustments
Intercept
0.58
2.53
-1.72
0.16
Slope
-0.50
-0.31
0.03
-0.15
For the acceptable data type, if one now brings to bear the condition that the SC
measurements result from the PM2.5 SCC-FDMS-Gravimetric method, then (reading from Table
9) the adjustment factors to the base equation for this condition are 0 for the intercept and 0 for
the slope. The predictive equation in this case is then simply equal to the base equation:
FRM = (0 + 0) + (0.90 + 0)-SCM = 0 + 0.90-SCM
If one now wishes to also specify that the monitoring is done in the Southeast region,
then the adjustments are 1.36 for the intercept and 0.09 for the slope. Hence the equation
becomes:
27
-------
FRM = (0 + 1.36) + (0.90 + 0.09)-SCM = 1.36 + 0.99-SCM
If, beyond the base equation, this were all the additional information at one's disposal,
then this final equation would indicate for the SCC-FDMS-Gravimetric method a slight overall
bias of 1.36 ug/m3 and with a slope of 0.99, an almost identical matching of the rate of increase
of the PM2 5 levels in the Southeast.
If in addition, one applies knowledge that the sampling is from North Carolina, then the
equation changes to
FRM = (1.36 - 0.57) + (0.99 + 0.11)-SCM = 0.79 + 1.10-SCM
Finally, if one wishes to bring the spring season into the predictive equation, the
predictive equation is
FRM = (0.79 + 0.35) + (1.10 - 0.12)-SCM = 1.14 + 0.98-SCM
This then is the equation for utilizing acceptable SC data collected with the SCC-FDMS-
Gravimetric method in springtime North Carolina to predict FRM PM2.5 levels. In exactly the
same manner, the intercept and slope adjustments presented in Table 9 may be used for the
atmospheric and raw data types. Conducting all these adjustments at once yields the following
resulting correlation equations:
Atmospheric: FRM = (1.67 + 0.41 + 1.53 - 5.40 + 0) +
(0.66 + 0 + 0.17 + 0 - 0.11) SCM
= -1.79 + 0.72 SCM
and
Raw: FRM = (0 + 0.58 + 2.53 - 1.72 + 0.16) +
(1.45 - 0.50 - 0.31 + 0.03 - 0.15) SCM
= 1.55 + 0.52 SCM
Note that when using Tables 6, 7, and 8, each intercept and slope adjustment value for the
last parameter in each category (for each categorical variable) is "0". This occurs due to the fact
that we are using categorical variables (e.g., Method [monitor type], Region, State, and Season)
as predictors and is an artifact of how SAS reports results for regressions using categorical
variables. The regressions were implemented in SAS using the simple slope-intercept straight
line, which serves as the "base" model for the predictions. The base model can be thought of as
the predictive equation that provides "the 'best' model for the data in the absence of further
information." However, our data does contain further (additional) information (e.g., the
categorical variables Method [monitor type], Region, State, and Season). The regressions were
run so that the results allowed adjustment of the slope or intercept (or both) to incorporate the
effect that each specific category had.
28
-------
SAS places categorical variables in alphabetical order when implementing a regression
analysis using a number (n) of categorical variables. The SAS software then implements the
regression such that the adjustments to the slope and/or intercept parameters can be explained by
all of the categorical variables excluding the last categorical variable (e.g., all of the changes to
slope and intercept can be explained by the first 'n-1' categorical variables). This does not mean
that the data from the last categories were not used. All the data were used to estimate the
predictive equations.
F. Evaluation of Corrected vs. Not Corrected Methods
As noted earlier, some of the SC monitoring methods for the acceptable and raw data
types appeared in AQS with designations of both "w/ Correction Factor" and "w/ No Correction
Factor." Since information on either the criteria for applying corrections or how they were
implemented was not available, a direct comparison of data from these two types of designations
was difficult. However, they were compared based on their effects on the intercept and slope
estimates.
For the acceptable data type, five methods were compared with respect to their corrected
versus not corrected effects. For the raw data, two methods had corrected and not corrected
levels. Table 10 presents the results of the comparisons. As can be seen, very few differences
were detected.
For the acceptable data, the only difference found was in the effect on the slope for the
WINS TEOM Gravimetric 30 deg C method. The corrected method was estimated to have a
slope adjustment of 0.10, but no adjustment for the uncorrected method.
Table 10. Statistically Significant Differences Between Adjustment Estimates - Corrected
versus Not Corrected Methods
Table 10a. Acceptable Data Type
Method
PM2 5 SCC TEOM Gravimetric 30 deg C
PM2 .5 SCC TEOM Gravimetric 50 deg C
PM2 .5 SSI TEOM Gravimetric 50 deg C
PM2 .5 VSCC TEOM Gravimetric 30 deg C
PM2 .5 WINS TEOM Gravimetric 30 deg C
Intercept
not significant
not significant
not significant
not significant
not significant
Slope
not significant
not significant
not significant
not significant
significant
Table 10b. Raw Data Type
Method
PM2 .5 SCC TEOM Gravimetric 30 deg C
PM2 5 SCC TEOM Gravimetric 50 deg C
Intercept
significant
not significant
Slope
not significant
not significant
29
-------
For the raw data type, a difference was found between the intercept effects for the SCC
TEOM Gravimetric 30 deg C monitoring. The corrected method led to an intercept adjustment of
-3.59 while the value for the uncorrected adjustment was smaller at -1.71.
G. Performance of the Regressions in the General Area of Baltimore, MD
To provide an indication of how the regression models performed in a specific locality,
focus was directed toward the city of Baltimore, MD. Sites were chosen that were in the city,
relatively close to the greater Baltimore area, and extending across a somewhat larger geographic
area.
For purposes of this discussion, these geographic areas are designated as the Baltimore
city, near Baltimore, and larger Baltimore areas, respectively. The corresponding approximate
geographic extents are: the Baltimore city limits; an area extending west to Fairfax, VA, and
Washington, DC, east into Delaware, and north to Philadelphia, Reading, York, and Gettysburg,
PA, and south to Georgetown, DE; west to Pittsburgh, PA, and the mountains of Virginia, east
into Delaware, north to Newark and Jersey City, NJ, and south to Roanoke, Richmond, and
Hampton, VA.
In addition to these areas, the model was also assessed for the cases of the larger
Baltimore area augmented with sites from New York state, designated here as the mid-Atlantic
area, and from New York state alone. Figures 13-17 display the site locations within these
different areas.
Baltimore City Sites
Atlantic
Ocean
Kilometers
0 25 50 100 150 200
NORfcH
CAROLINA
Acceptable Sites
Raw Sites
Urban Areas
Figure 13. Location of FRM/SC Comparison Sites in the city of Baltimore
30
-------
Near Baltimore Sites
Kilometers
0 12.525 50 75
100
Atmospheric Sites
Acceptable Sites
Raw Sites
Urban Areas
Figure 14. Location of FRM/SC Comparison Sites in the near Baltimore Region
Greater Baltimore Sites
'NEW
YORK
Atmospheric Sites
O Acceptable Sites
_) Raw Sites
Urban Areas
Kilometers
0 25 50 100 150 200
Figure 15. Location of FRM/SC Comparison Sites in the larger Baltimore Region
-------
Mid-Atlantic Sites
Atlantic
Ocean
Atmospheric Sites
O Acceptable Sites
(_J) Raw Sites
Urban Areas
Kilometers
0 50 100 200 300 40C
Figure 16. Location of FRM/SC Comparison Sites in the mid-Atlantic Region
New York Sites
L--""'' \ RVlODE
\ ISLAND
Atmospheric Sites
Acceptable Sites
(___} Raw Sites
Urban Areas
Kilometers
0 25 50 100 150 200
Figure 17. Location of FRM/SC Comparison Sites in New York state
32
-------
For each of the areas and data types, the regression was examined by calculating an R2
value and evaluating residuals using only data from sites in the particular geographic area being
assessed. As would be expected, the residuals were more widely dispersed as the area under
consideration was expanded geographically. The results for the different areas were quite similar
to the overall regression results, though there was a slight bias toward overestimation (1.42
ug/m3) for the raw data within the city itself. Table 1 1 presents the number of collocated
FRM/SC sites, the number of observations, and the R2 specific to the area/data type combination.
Table 11. Performance of the Regressions in the Baltimore, MD, Area
Acceptable
No. sites
No.
observations
R2 (%)
Atmospheric
No. sites
No.
observations
R2 (%)
Raw
No. sites
No.
observations
R2 (%)
Baltimore
City
1
1288
88
0
1
928
80
Near
Baltimore
5
3810
89
7
1971
85
11
5840
81
Larger
Baltimore
11
6616
90
10
3228
86
23
13328
88
Mid-Atlantic
23
8823
90
13
3842
86
36
21477
90
NY State
12
2207
89
3
614
82
13
8149
91
H. Performance of the Regressions Relative to the Daily Regulatory Standard
While the above discussion covers the performance of the regressions with respect to the
entire range of PM2.s values, the predictions were also examined in terms of values from the
upper end of the distribution. Here, "upper end" refers to values in excess of 35 |ig/m3. This level
is established as the 24-hour regulatory standard. First, days for which the FRM value was 35
|ig/m3 or above were checked to ascertain whether the prediction from the SC data was also at or
above this value. The comparison the other way around was also done, viz., if the predicted value
was above this level, was the FRM value as well? Table 12 reports the counts and percentages
from these comparisons. As Table 12a indicates, the regressions did not predict exceedances of
the standard as often as they were detected by the FRM data. For the acceptable and raw data,
exceedances were missed 26% of the time by the predictions and half the time for the
atmospheric data type. These results provide evidence that users of the model should include
additional factors if the model is being utilized to accurately determine exceedances of the PMi.s
NAAQS standards and to obtain results that essentially replicate FRM measurements. The
regression equations developed in this analysis are for research purposes. Any attempt to use the
33
-------
regression equations as an accurate predictor of FRM measurements values will require
additional analysis.
While Figures 3, 7, and 11 hint at this underestimation, it is explored in more depth for
each data type in Figures 18-26. Figures 18-20 are analogous to the earlier overall histogram and
CDF plots for the acceptable data, but incorporate only days for which the FRM level was above
35 |ig/m3. As before, Figure 18 displays histograms for the FRM and predicted values in a side-
by-side fashion. Figure 19 repeats this, but with the data displayed by region. Figure 19 suggests
that in terms of percentage frequency the underestimation is worst in the south central and north
central regions and rather infrequent in the Southeast. Figure 20 presents the CDFs for the FRM
(black color) and predicted (red color) values. (The CDFs are truncated at the level of 100
|ig/m3.) Figure 20 is illuminating in that it shows a clear bias toward the underestimation of
values when the FRM was at or over the standard level. Figure 20 suggests that, for the most
part, the differences between the FRM and predicted levels are not very large. Examination of
the residuals from these data showed that more than 70% of the predictions (over- and
underestimates together) were within 5 |ig/m3 of the FRM value, and over 91% were within 10
|ig/m3. However, the differences could be large. For the acceptable data with an FRM value over
the standard, the greatest overestimate was 24.35 |ig/m3 and the largest underestimate was 62.78
|ig/m3 (though the differences declined in magnitude quickly from these maxima).
Figures 21-23 present the same plots for the atmospheric data and tell much the same
story. There is a clear tendency toward underestimation with the south central region perhaps
being more susceptible to this and the Southeast having less frequent underestimation on a
percentage basis. The differences between predictions and the FRM values were not as great for
the atmospheric data as for the acceptable. More than 90% of the differences were less than 13
|ig/m3. The worst overestimate was 8.47 |ig/m3, and the worst underestimate was 37.75 |ig/m3.
For the raw data type, the comparison of predicted and FRM values when the FRM number was
Table 12. PM2.5 Values > 35 ug/m3
Table 12a. FRM values above the standard compared to predicted values
FRM > 35
Predicted > 35
Percentage
Acceptable
1327
981
74
Atmospheric
502
252
50
Raw
2219
1648
74
Table 12b. Predicted values above the standard compared to FRM values
Predicted > 35
FRM > 35
Percentage
Acceptable
1150
981
85
Atmospheric
302
252
83
Raw
1908
1648
86
34
-------
at or more than 35 |ig/m3 was almost identical to that for the acceptable data. Figures 24-26
provide the corresponding graphical displays. Perhaps one difference is that there appears to be
less regional distinction in terms of the frequency of underestimation for the raw data. Much like
the acceptable data, the residuals from the raw data showed that more than 70% of the
predictions were within 6 |ig/m3 of the FRM value, and approximately 90% were within 10
|ig/m3. The maximal over- and underestimates for the raw data were 26.67 and 63.67 |ig/m3,
respectively. These are very similar to the worst discrepancies seen for the acceptable data, and
as for that data type, moderated rapidly.
ACC PM2.5 datawth FRM> = 35 : observed and predicted
40 -
30 -
20 ~
10 -
0 15 30 45 GO 75 90 105 120 135 150 1G5 0 15 30 45 GO 75 90 105 120 135 150 165
111:'.!, CMC,/,,,:;)
Figure 18. FRM > 35 ug/m3 Acceptable Combined Histogram
35
-------
ACC PM2.5 data with FRM> = 35: observed and predicted'
o
3-
O
o
IT
0 IS 30 45 60
30 1«S 1?9 135 ISO 16S
PtlZ.5
0 IS 30 45 SO 75 90 1«5 170 13S ISO 165
Figure 19. FRM > 35 \iglm3 Acceptable Regional Histogram
36
-------
CDF for ACC PM2.5 data with FRM> = 35
pctl
100-
90
80
70
GO
50
30
10
10 20 30 40 50 60 70 80
PM2.S (ug/m3)
90 100
Figure 20. FRM > 35 ug/m3 Acceptable Combined CDF (black: FRM, red: predicted)
37
-------
ATM PM2.5 datawth FRM> =35 : observed and predicted
FRM
Predicted
35 -
25 -
IS -
s -
Ik
0 15 30 45 GO 75 90 105 120 135 150 1G5 0 15 30 45 GO 75 90 105 120 135 150 165
PM2.5 (ug/m3)
Figure 21. FRM > 35 ug/m3 Atmospheric Combined Histogram
38
-------
a
o
^
3.
o
t
3"
O
a
(f
&
ATM PM2.5 datavwth FRM> =35: observed and predicted
FRfl
89-
49 '
BO
491
9
80
10
0
89-
49-
0
1 i r
Predicted
« IS 30
GO /b 90 IDS 120 US ISO 165 9 IS 39 4S 60 ?S 90 19S 120 135 1S« IBS
PH2.5 (ug/n3)
Figure 22. FRM > 35 \iglm3 Atmospheric Regional Histogram
39
-------
CDF for ATM PM2.5 data with FRM> = 35
pctl
100-
90
80
70
GO
50
30
10
4--H-+
10 20 30 40 50 60 70 80
PM2.S (ug/m3)
90 100
Figure 23. FRM > 35 ug/m3 Atmospheric Combined CDF (black: FRM, red: predicted)
40
-------
RAW PM2.5 data wth FRM> =35 ; observed and predicted
FRM
Predicted
30 -
10 -
5 ~
o --] 1 1 I i I i 1 r~i 1 1 J i I I I I I I 1 1 1 1 r
0 15 30 45 GO 75 90 105 120 135 150 1G5 0 15 30 45 GO 75 90 105 120 135 150 165
PM2.5 (ug/m3)
Figure 24. FRM > 35 ug/m3 Raw Combined Histogram
41
-------
RAW PM2.5 data wth FRM> =35 : obsen/ed and predicted
IFM
Predicted
s
a.
o
IT
3"
O
so
40 -
O
&
so -
40 -
20
0
30 45 60 75 90 10S 1?0 135 ISO IDS 0 IS 30 45 SO 75 90 105 l?0 135 ISO 1S5
PH2.5 (119/03)
Figure 25. FRM > 35 ug/m3 Raw Regional Histogram
42
-------
CDF for RAW PM2.5 data wth FRM> =35
pctl
100-
90
80
70
GO
50
30
10
10 20 30 40 50 60 70 80
PM2.S (ug/m3)
90 100
Figure 26. FRM > 35 ug/m3 Raw Combined CDF (black: FRM, red: predicted)
43
-------
As Table 12b indicates, the regressions were better at correctly predicting an exceedance
and did this very consistently across data types. The table indicates that approximately 85% of
the time, a prediction of a level greater than or equal to 35 |ig/m3 was accompanied by an FRM
value over this limit on that same day. For the cases where the predicted value was at or above
35 |ig/m3, Figures 27-29 (acceptable data), 30-32 (atmospheric data), and 33-35 (raw data)
display histograms and CDFs corresponding to Figures 18-26. These figures and the
corresponding sets of differences between predicted and measured FRM values are all very
similar across the data types. Figures 28, 29 and 30 do not indicate noticeable differences among
the regions (except, perhaps, for the northwest and south central raw data being subject to greater
overprediction). The CDFs (Figures 29, 32, and 35) are much alike. As observed when focusing
on the FRM value being above the standard, the cases when the predicted value was over the
level led to some large differences that quickly decreased in magnitude. This is not surprising
since, of course, there is a great deal of overlap with both the predicted and measured levels
being above the standard. However, when keying on the prediction being in exceedance, the
distribution of the differences was generally narrower. For example, the differences between the
predicted and FRM value were within ~8 |ig/m3 in more than 90%, 80%, and 85% of the cases
for the acceptable, atmospheric, and raw data, respectively.
ACC PM2.5 data wth Pred> =35 : observed and predicted
35 -
25 -
t IS -
10 -
0 -L-l 1 I I I I I 1 1 T 1 1 J1~l 1 1 I I I I 1 1 1 1 T
0 15 30 45 GO 75 90 105 120 135 150 1G5 0 15 30 45 GO 75 90 105 120 135 150 165
111:'.!, f.!u/,,,:il
Figure 27. Pred > 35 ug/m3 Acceptable Combined Histogram
44
-------
ACC PM2.5 data with FVed> = 35 : observed ard predicted
IFM
Predicted
s
a.
o
IT
3"
O
£
$
IT
tl'
ui
a.
O
&
so;
40 -
?0
0
60
10
20
1
60
40
20 1
60
40 -
20 -
0
60 -
40 -
20 -
0
so -
40 -
20
0
30 45 60
9« 10S )?0 135 ISO IDS 0 IS 30 45 SO 75 90 105 l?0 135 ISO 1S5
PH2.5 (ug/n3)
Figure 28. Pred > 35 ug/m3 Acceptable Regional Histogram
45
-------
CDF for ACC PM2.5 data with Pred> = 35
pctl
100-
90
80
70
GO
SO
40
20
10
+ -H+ *
10 20 30 40 50 60 70 80
PM2.S (ug/m3)
90 100
Figure 29. Pred > 35 ug/m3 Acceptable Combined CDF (black: FRM, red: predicted)
46
-------
ATM PM2.5 datawth Pred> =35 : observed and predicted
FRM
Predicted
35 -
25 -
IS -
s -
.rTh-.
0 15 30 45 GO 75 90 105 120 135 150 1G5 0 15 30 45 GO 75 90 105 120 135 150 165
PM2.5 (ug/m3)
Figure 30. Pred > 35 ug/m3 Atmospheric Combined Histogram
47
-------
D"
O
D
Q
ATM PM2.5 data with Pred> =35: observed and predicted
40 -
20-
0
BO-
40;
ii
40
£0
0
50;
40-
20;
FflH
rFlfk
_A^
JBL.,
n
Predicted
L
l
lk_
1
0 IS 30 4S GO 75 90 10S 120 US ISO IBS 0 IS 30 45 BO 75 90 105 120 13S ISO IBS
PH2.S tu^n3)
Figure 31. Pred > 35 ug/m3 Atmospheric Regional Histogram
48
-------
CDF for ATM PM2.5 data with Pred> = 35
pctl
100-
90
80
70
GO
50
30
10
/**>'
10 20 30 40 50 60 70 80
PM2.S (ug/m3)
90 100
Figure 32. Pred > 35 ug/m3 Atmospheric Combined CDF (black: FRM, red: predicted)
49
-------
RAW PM2.5 data wth Pred> =35 ; observed and predicted
35 -
30 -
25 -
P
e 20 -
r
c
e
n
t 15 -
10 -
5 -
FRM
| | Predicted
1
i
-
-
tkt.
i
-
-
k
- ^T^ I 1 i 1 1 n 1 1 i i 1^ 1 1 r
0 15 30 45 GO 75 90 105 120 135 150 1G5 0 15 30 45 GO 75 90 105 120 135 150 165
PM2.5 (ug/m3)
Figure 33. Pred > 35 ug/m3 Raw Combined Histogram
50
-------
RAW PM2.5 data with Pred> =35 : observed and predicted
Iran
Predicted
s
a.
o
IT
3"
O
so;
40 -
?0
0
50
40
20
0
60
40
20 1
50
40 -
20 -
0
60 -
40 -
20 -
0
so -
40 -
20
0
O
&
\ I I I \
111 riT~i-
n i i i i
\ i i r
30 45 60 75 90 10S 1?0 135 150 1E5 0 IS 30 45 SO 75 90 105 1?» 135 ISO 1S5
PH2.5 (119/03)
Figure 34. Pred > 35 ug/m3 Raw Regional Histogram
51
-------
CDF for RAW PM2.5 data with Pred> =35
pctl
100
90
80
70
GO
50
40
30
10
0 10 20 30 40 50 60 70 80 90 100
PM2.5 Cug/m3)
Figure 35. Pred > 35 ug/m3 Raw Combined CDF (black: FRM, red: predicted)
I. Future Areas of Exploration
The regressions over the entire range of the observations performed very well, but the
results above do suggest some areas for which further investigation might be useful. For
example, as indicated by the CDFs, the model for each data type had a general tendency to
underpredict the FRM values, particularly at the higher pollutant levels. One might consider
modifying the model to lessen this effect. The most obvious thing to consider in this regard
would be to change the underlying basic model from a simple straight line to another functional
form.
For example, one might add a quadratic term. With an intercept of 1.67 ug/m3 and a slope
of 0.60 and a lower (though still very respectable) R2 of 82% for the atmospheric data type, one
might expect this simple expedient to be most efficacious for this data type. A quadratic term
might also prove useful for the raw data type with its relatively high slope estimate of 1.45,
though an intercept of 0 and an R2 value of 88% were obtained without this additional term. A
priori, one might expect little improvement from a quadratic term for the acceptable data since
the basic straight line model obtained an R2 of 90%, estimated 0 for the intercept, and its slope of
0.90 was near 1 (albeit statistically significantly different from 1). One advantage of attempting
this simple addition is that it can be easily and quickly evaluated based on the work already done.
52
-------
One could envision changing the basic model more radically by assuming, for example, a
nonlinear form such as a sigmoidal curve. However, as noted above, the straight line has
performed quite well for the basic model, so caution is in order when considering major
departures from it.
Another avenue of altering the model might prove more promising. The effects of the
SC method, region, state, and season were all considered as separate effects in the model without
any interaction between them. In addition to their individual effects on the basic model, one
could consider introducing interactions between these categorical variables. For example, while
state and season may both have a statistically significant effect on the prediction, it is also
possible that they may have a joint state/season effect. In some situations, the relatively large
numbers of levels of some of the variables (e.g., method, state) might cause problems with the
regression because of the resulting large number of parameters that would need to be estimated.
However, given the large number of observations available here, the data base should support the
introduction of interaction terms into the regressions. With the four categorical variables
available, one could (theoretically) allow up to three-way interactions. (Since a state is nested
within a region, one would avoid terms with a region/state interaction.) However, as has been
emphasized, one is starting from a position of strength with the model that has already been
developed. Therefore, introducing the five two-way interaction terms to "fine-tune" the model
would be the starting point for such an approach.
Another option for model modification that might be considered is the introduction of
additional variables. The most likely candidates for this role would be meteorological variables,
such as temperature and humidity. While there would be a need to construct a suitable daily
summary statistic for each weather variable (e.g.., mean temperature), incorporation of such
variables into the existing model as covariates would be relatively straightforward. The sticking
point with this suggestion is the question of whether such data are available at all sites; this is
quite unlikely to be the case. In such instances, one could consider the substitution of data from
the nearest available meteorological monitoring site, though this would run the risk of
complicating the model with the question of error in the predictor variables. Approaches might
be taken to mitigate this issue, but more care would be needed in taking this approach than some
of the others mentioned above.
One of the major thrusts of any attempt to "fine-tune" the model would be to reduce the
large overestimates and underestimates that were observed in the work reported above, while still
retaining the models' generally good performance overall. Clearly, one would like to be able to
utilize the predictions as substitutes for FRM data where such data are unavailable, but SC
measurements are. Users of this model must understand that this is an initial attempt at a
systematic correlation between FEM and FRM measurement values, and that the model must be
applied in the proper context to ensure that proper consideration is given for how the model
predictions are to be used. For example, PM2.5 is of concern because of its potential effect(s) on
human health. Consider the following hypothetical (incorrect) predictions by the model.
(1) The model predicts 20 ug/m3 when the FRM value is 25 ug/m3;
53
-------
(2) The model predicts 33 ug/m3 when the FRM value is 38 ug/m3;
(3) The model predicts 20 ug/m3 when the FRM value is 60 ug/m3;
(4) The model predicts 60 ug/m3 when the FRM value is 100 ug/m3.
Now consider the three following health researchers' pollutant foci:
(a) The concern is total exposure to PM2.5;
(b) The concern is the number of days with a level spent at or above the standard
of 35 ug/m3;
(c) The concern is exposure to PM2 5, but only for levels at or above the standard
of 35 ug/m3.
For researcher (a), all of the incorrect predictions are of concern with 1 and 2 being of
equal importance and 3 and 4 being more so (but equal between themselves). For researcher (b),
only cases 2 and 3 matter. For researcher (c), cases 2, 3, and 4 are all of concern, but of differing
importance. These different scenarios may lead to different approaches as to how to modify the
model as discussed above. For example, it may be that one of the approaches works better at
improving the model over the entire range of FRM values, whereas another method improves the
model best in the upper reaches of the distribution. Thus, the ultimate choice for modification
may depend upon how the predictions are to be employed. One might even consider more than
one approach.
Another follow-up action that might be considered is to examine the residuals that are
large in magnitude. If certain features that are characteristic of these large residuals can be
determined, this might well be utilized in choosing how best to try and alter the model to
improve it. It may also be of interest to make comparisons between the different levels of the
categorical variables. This might be approached in at least two ways. One would be to ask
questions like: Does method A have higher levels than method B? Or do levels appear higher in
region X versus region Y? In fact, this was attempted as part of the analyses described above. As
the regression results showed, most levels of the categorical variables had a significant effect on
the results. Therefore, one would ideally like to make the comparisons between levels of one
variable while adjusting for the effects of the other variables. This type of analysis was tried, but
unfortunately the structure of the data rendered the differences inestimable. (Pairwise
comparisons of level means based on unadjusted data were done. Virtually every one was
statistically significant. However, given the large sample sizes reported in the appendices, this is
not particularly surprising. In addition, the point just elucidated that these comparisons are
compounded with other effects makes the results somewhat difficult to interpret.) More analysis
is required to best determine how to develop an effective approach for comparing the different
levels of the categorical variables.
54
-------
The other method by which one might wish to compare the levels is the one reported
above that compared corrected and non-corrected methods. Here it was not the means of the
levels that were compared but their effects on the estimated intercept and slope. The comparison
above is well-founded since the issue of multiple comparisons does not arise. However, in
general, one might wish to attempt many pairwise comparisons, and the issue of multiple
comparisons might impede interpretation of the results. Unless one is willing to restrict the
comparisons to be done, multiple comparisons may be a concern. One could ignore the question,
but only at the risk being unprotected against false positives. Otherwise, more research will be
needed to conduct the slope and intercept effect comparisons.
55
-------
56
-------
Conclusion/Summary
The methodology developed in this report used to correlate PM2.5 measurements from
FEM (semi-continuous) monitors with measurements from FRM monitors examines the
correlation based on four parameters applied to the analysis: a) geographic region; b) state; c)
monitor method/type [parameter code]; and d) season. These four categorical
parameters/variables are used to adjust the slope and intercept of the linear correlation equations
relating FEM and FRM monitors used to measure ambient concentrations of PM2.5. The
correlations were segregated by monitor method/type [parameter code] as follows: 1) Acceptable
PM2.5 AQI and Speciation Mass Data - parameter code 88502 (ACC); 2) PM2.5 Total
Atmospheric Data - parameter code 88500 (ATM); and 3) PM2.5 Raw Data - parameter code
88501 (RAW).
The correlations were accomplished by comparing the measurements for FEM and FRM
monitors which were collocated at the same sites. This was done for the years 2004 through
2007 (inclusive). The number of measurements captured in this analysis were as follows: i)
77,385 total measurement days of FEM monitors (parameter code 88502 - ACC) collocated with
FRM monitors during the 2004 - 2007 time period; ii) 32,376 total measurement days of FEM
monitors (parameter code 88500 - ATM) collocated with FRM monitors during the 2004 - 2007
time period; and iii) 99,372 total measurement days of FEM monitors (parameter code 88501 -
RAW) collocated with FRM monitors during the 2004 - 2007 time period.
During the 2004 - 2007 analysis period, there were four states that had less than 100 total
measurements/observations (of collocated FEM and FRM monitors): Iowa, Kansas, Oklahoma,
and Wisconsin. This is reasonable since the number of semi-continuous monitors is small
compared to the total number of FRM monitors (e.g., there were a total of only 522 semi-
continuous monitors as of April 2005, which would reduce the occurrence of collocations with
FRM) and the monitors are generally placed in locations where there are prior concerns about the
local ambient PM2.5 concentration. Autocorrelation of the analysis data does not appear to have
an impact on the results since the following was discovered in the analysis: a) parameter code
88502 - ACC found 3 of 325 sites where autocorrelation was > 80% [representing 5% of the
daily values] and 9 of 325 sites where autocorrelation was > 70% [representing 12% of the daily
values]; b) parameter code 88500 - ATM found 0 of 83 sites where autocorrelation was > 80%
and 1 of 83 sites where autocorrelation was > 70%; and c) parameter code 88501 - RAW found
6 of 260 sites where autocorrelation was > 80% and 13 of 260 sites where autocorrelation was >
70%.
As this is an initial attempt in developing a systematic approach to modeling the
correlation between FEM and FRM monitors for PM2.5, there are a number of
refinements/considerations that can be implemented in future versions of (derivatives of) this
methodology. With respect to the impact of meteorological parameters, this model used the
'season' parameter/categorical variable to represent the effects of meteorology. Previous
correlation methodologies have specifically used temperature and humidity as factors in their
analysis. Future efforts using this model could also use those two meteorological parameters to
determine if 'season' as used in this analysis is a reasonable surrogate for temperature and
57
-------
humidity. Further possible refinements of this model might want to consider the fact that
operationally TEOM-FDMS (parameter code 88500) measurements are generally biased higher
than FRM measurements because the TEOM-FDMS monitors capture the volatile component of
PM2.s. Additional analysis could be performed to determine how the addition of FEM monitors
in future years impact the overall correlation results.
The major purpose of this report is to assist in generation of data for health studies that
utilize FEM/semi-continuous monitor data, to express FEM monitor measurements as
'equivalent' FRM measurements. This will allow health scientists to use FEM monitors that are
located in the areas of their studies (rather than using more distantly located FRM monitors as
measurement surrogates) and correlate their ambient concentration levels of PM2.sto FRM
values to assist in linking measured PM2.s levels to documented health outcomes. This research
report also provides a template for further development of a methodology(ies) to correlate FEM
and FRM measurements for PM2 5 monitors.
58
-------
References
[1] EPA AQS Data (Web site):
http://www.epa.gov/ttn/airs/airsaqs/detaildata/downloadaqsdata.httn
[2] SAS, 2004a, Base SAS Procedures Guide. SAS Institute, Gary, NC.
[3] SAS, 2004b, SAS/STAT User's Guide, Volume 2. SAS Institute, Gary, NC.
[4] Technical Note on Reporting PM2.5 Continuous Monitoring and Speciation Data to the Air
Quality System (AQS), 6/01/2006, U.S. Environmental Protection Agency.
[5] Correlating Federal Reference Method and Continuous PM2.5 Monitors in the MARAMA
Region, William G. Gillespie, July 1, 2005, Mid-Atlantic Regional Air Management
Association (MARAMA).
[6] Rizzo M., Scheff, P. A., and Kaldy, W. 2003. Adjusting Tapered Element Oscillating
Microbalance Data for Comparison with Federal Reference Method PM2.5 Measurements in
Region 5. Journal of the Air and Waste Management Association, May 2003, Volume 53,
Number 5, pp. 596 - 607.
[7] Kashuba R., and Scheff, P. A. 2008. "Nonlinear Regression Adjustments of Multiple
Continuous Monitoring Methods Produce Effective Characterization of Short-Term Fine
Parti culate Matter." 2008. Journal of the Air and Waste Management Association, June 2008,
Volume 58, Number 6, pp. 812 - 820.
[8] Allen G., Sioutas C., Koutrakis P., Reiss R., Lurmann F. W., and Roberts P.T. 1997.
"Evaluation of the TEOM Method for Measurement of Ambient Parti culate Mass in Urban
Areas." Journal of the Air and Waste Management Association, June 1997, Volume 47,
Number 6, pp. 682 - 689.
[9] Schwabb, J.J., Felton, H.D., Rattigan, O.V., and Demerjian, K. L. 2006. "New York State
Urban and Rural Measurements of Continuous PM2.5Mass by FDMS, TEOM, and BAM."
Journal of the Air and Waste Management Association, April 2006, Volume 56, Number 4,
Pages 372-3 83.
[10] Data Quality Objectives (DQOs) for Relating Federal Reference Method (FRM) and
Continuous PM2.5 Measurements to Report on Air Quality Index (AQI), EPA-454/B-02-002,
November 2002.
[11] Pope, C.A., Burnet, R.T., Thun, M.J., Calle, E.E., Krewski, D., Ito, K., and Thurston, G.D.
2002. "Lung Cancer, Cardiopulmonary Mortality and Long-Term Exposure to Fine
Parti culate Air Pollution," Journal of the American Medical Association (JAMA), Volume
287, Number 9, pp. 1132-1141.
59
-------
[12] Noble, C.A., Vanderpool, R.W., Peters, T.M., McElroy, F.F., Gemmill, D.B., and Wiener,
R.W. 2001. Federal Reference and Equivalent Methods for Measuring Fine Particulate
Matter, Aerosol Science and Technology, Number 34, pp. 457 - 464.
60
-------
Appendix A
Table A1. FRM Geographic Information for 2004
Table A2. FRM Geographic Information for 2005
Table A3. FRM Geographic Information for 2006
Table A4. FRM Geographic Information for 2007
-------
A2
-------
Table A1. FRM Geographic Information for 2004
AQSJD
010030010
010270001
010331002
010491003
010530002
010550010
010690002
010730023
010730023
010731005
010731009
010731009
010731010
010731010
010732003
010732003
010732006
010735002
010735003
010890014
010970002
010970003
010972005
011010007
011030011
011130001
011170006
011190002
011210002
011250004
011270002
020200018
020900010
021100004
021 700008
022320001
022320002
040031005
040031005
040051008
040070008
040070008
040130019
040139990
040139997
040190011
040191028
04021 0001
04021 3002
FRM_Method
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
State
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AK
AK
AK
AK
AK
AK
AZ
AZ
AZ
AZ
AZ
AZ
AZ
AZ
AZ
AZ
AZ
AZ
County
Baldwin
Clay
Colbert
De Kalb
Escambia
Etowah
Houston
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Madison
Mobile
Mobile
Mobile
Montgomery
Morgan
Russell
Shelby
Sumter
Talladega
Tuscaloosa
Walker
Anchorage
Fairbanks North Star
Juneau
Matanuska-Susitna
Skagway-Hoonah-Angoon
Skagway-Hoonah-Angoon
Cochise
Cochise
Coconino
Gila
Gila
Maricopa
Maricopa
Maricopa
Pima
Pima
Pinal
Pinal
Latitude
30.497778
33.281111
34.760556
34.2875
31.106389
33.99361 1
31.228611
33.553056
33.553056
33.331111
33.459722
33.459722
33.545278
33.545278
33.499722
33.499722
33.386389
33.704722
33.801667
34.68767
30.7663
30.769722
30.474444
32.425833
34.51861
32.476389
33.312778
32.363889
33.279444
33.18903
33.832778
61 .206667
64.841111
58.388889
61.534163
59.45315
59.46008
31 .348759
31 .348759
35.205988
34.22934
34.22934
33.48385
33.391591
33.503643
32.32255
32.29515
32.878611
33.421 944
Longitude
-87.881389
-85.802222
-87.650556
-85.968333
-87.071 1 1 1
-85.991 1 1 1
-85.375556
-86.815
-86.815
-87.00361 1
-87.305556
-87.305556
-86.549167
-86.549167
-86.924167
-86.924167
-86.816667
-86.669167
-86.9425
-86.58637
-88.0757
-88.0875
-88.141111
-86.285278
-86.976944
-84.999167
-86.821 1 1 1
-88.201944
-86.349444
-87.484206
-87.2725
-149.82083
-147.72
-134.56556
-149.03166
-135.32125
-135.31053
-109.53861
-109.53861
-1 1 1 .6528
-1 1 1 .32942
-1 1 1 .32942
-112.14257
-1 1 1 .92639
-112.095
-1 1 1 .0377
-110.9823
-111.75167
-111.5025
A3
-------
04021 3002
040230004
050010011
050030005
050350004
050450002
05051 0003
050930007
051 070001
051130002
051150003
051190007
051191004
051191005
051 31 0008
051 390006
051 430004
051 450001
06001 0007
060011001
060070002
060090001
060111002
060111002
060130002
060170011
060190008
060195001
060195025
060231002
060250005
060250007
060251003
060271003
060290010
06029001 1
060290014
060290014
060290015
060290016
06031 0004
060333001
060370002
060371002
060371103
060371201
060371301
060371601
060372005
060374002
060374004
060379033
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
AZ
AZ
AR
AR
AR
AR
AR
AR
AR
AR
AR
AR
AR
AR
AR
AR
AR
AR
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
Pinal
Santa Cruz
Arkansas
Ashley
Crittenden
Faulkner
Garland
Mississippi
Phillips
Polk
Pope
Pulaski
Pulaski
Pulaski
Sebastian
Union
Washington
White
Alameda
Alameda
Butte
Calaveras
Colusa
Colusa
Contra Costa
El Dorado
Fresno
Fresno
Fresno
Humboldt
Imperial
Imperial
Imperial
Inyo
Kern
Kern
Kern
Kern
Kern
Kern
Kings
Lake
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Los Angeles
33.421944
31 .337204
34.518392
33.139444
35.1475
35.090833
34.470732
35.929167
34.528889
34.585278
35.292222
34.7561 1 1
34.729167
34.676268
35.388333
33.215
36.045751
35.24861 1
37.6875
37.5358
39.7575
38.201944
39.203056
39.203056
37.936
38.945
36.781389
36.819167
36.727083
40.801666
32.676111
32.97835
32.791667
36.487778
35.385556
35.050556
35.356111
35.356111
35.623889
35.324722
36.101389
39.031389
34.1365
34.17605
34.06659
34.19925
33.92899
34.01 407
34.1326
33.82376
33.79236
34.671389
-1 1 1 .5025
-110.93672
-91 .558826
-91.95
-90.176389
-92.401667
-93.064585
-89.900833
-90.585556
-94.2261 1 1
-93.139167
-92.275833
-92.243333
-92.337164
-94.41 1 944
-92.668889
-94.168978
-91.715278
-121.7842
-121.9619
-121.84222
-120.68056
-122.01667
-122.01667
-122.0262
-119.96889
-119.77222
-119.71639
-119.73206
-124.16194
-115.48333
-115.53829
-115.56167
-117.87056
-119.01472
-118.14639
-119.04028
-119.04028
-117.67722
-118.99917
-119.56583
-122.92222
-117.92391
-118.31712
-118.22688
-118.53276
-118.21071
-118.06056
-118.1272
-118.18921
-118.17533
-118.13056
A4
-------
060450006
060472510
06051 0001
060531003
060570005
060571001
060590007
060592022
06061 0006
060631006
060631009
060651003
060652002
060655001
060658001
060670006
060670010
060674001
06071 0025
06071 0306
06071 2002
06071 8001
06071 9004
060730001
060730003
060730006
060731002
060731007
060750005
060771002
060792002
060798001
060811001
06083001 1
060831008
060850005
060852003
060870007
060890004
060950004
060970003
060990005
061 01 0003
061 072002
061 072002
061 1 1 0007
061 1 1 0009
061 1 1 2002
061113001
061131003
08001 0006
080050005
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CO
CO
Mendocino
Merced
Mono
Monterey
Nevada
Nevada
Orange
Orange
Placer
Plumas
Plumas
Riverside
Riverside
Riverside
Riverside
Sacramento
Sacramento
Sacramento
San Bernardino
San Bernardino
San Bernardino
San Bernardino
San Bernardino
San Diego
San Diego
San Diego
San Diego
San Diego
San Francisco
San Joaquin
San Luis Obispo
San Luis Obispo
San Mateo
Santa Barbara
Santa Barbara
Santa Clara
Santa Clara
Santa Cruz
Shasta
Solano
Sonoma
Stanislaus
Sutler
Tula re
Tula re
Ventura
Ventura
Ventura
Ventura
Yolo
Adams
Arapahoe
39.150556
37.309167
37.648056
36.69683
39.234444
39.33861 1
33.83062
33.63003
38.745833
39.937222
39.808333
33.94603
33.70853
33.85275
33.99958
38.614167
38.558333
38.555833
34.037222
34.51
34.10002
34.264444
34.10688
32.622778
32.791389
32.828333
33.127778
32.708889
37.766
37.950833
35.283889
35.491389
37.4829
34.427776
34.949167
37.3485
37.3062
36.984
40.549722
38.1027
38.4435
37.641667
39.138889
36.332222
36.332222
34.21
34.40461 1
34.2775
34.255
38.661944
39.825739
39.604406
-123.205
-120.48056
-118.97333
-121.63617
-121.05556
-120.17028
-117.93845
-117.67593
-121.26528
-120.93778
-120.47167
-117.40063
-116.21537
-116.54101
-117.41601
-121.36694
-121.49194
-121.45722
-117.69
-117.33056
-117.49201
-1 1 6.86444
-117.27411
-117.05611
-116.94167
-117.13333
-117.07417
-117.15278
-122.3991
-121.2675
-120.65417
-120.66806
-122.2034
-119.69028
-120.43667
-121.895
-121.8489
-121.9883
-122.37917
-122.2382
-122.71
-120.99361
-121.6175
-119.29028
-119.29028
-118.86944
-118.81
-118.68472
-119.1425
-121.72778
-104.93699
-105.01952
A5
-------
080070001
080130003
080130012
080290004
08031 0002
08031 0023
080390001
08041 0008
080410011
08051 0005
080690009
080690009
080770017
080770017
081010012
081010012
081 070003
081130004
081 230006
081 230008
090010010
09001 1 1 23
09001 21 24
09001 3005
09001 9003
090031003
090031018
090090018
090090026
090090027
090091123
090092008
0900921 23
090098003
090113002
90113002
1 0001 0002
1 0001 0003
100031003
100031007
100031012
100031012
1 00032004
100051002
110010041
110010042
110010043
1 2001 0023
1 2001 0024
120051004
1 20090007
120111002
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CT
CT
CT
CT
CT
CT
CT
CT
CT
CT
CT
CT
CT
CT
CT
DE
DE
DE
DE
DE
DE
DE
DE
DC
DC
DC
FL
FL
FL
FL
FL
FL
Archuleta
Boulder
Boulder
Delta
Denver
Denver
Elbert
El Paso
El Paso
Gunnison
Larimer
Larimer
Mesa
Mesa
Pueblo
Pueblo
Routt
San Miguel
Weld
Weld
Fairfield
Fairfield
Fairfield
Fairfield
Fairfield
Hartford
Hartford
New Haven
New Haven
New Haven
New Haven
New Haven
New Haven
New Haven
New London
Kent
Kent
New Castle
New Castle
New Castle
New Castle
New Castle
Sussex
District Of Columbia
District Of Columbia
District Of Columbia
Alachua
Alachua
Bay
Brevard
Broward
Broward
37.268056
40.165833
40.021104
38.739167
39.751185
39.778739
39.231944
38.898056
38.831389
38.9
40.571236
40.571236
39.063625
39.063625
38.26361 1
38.26361 1
40.485278
37.9375
40.414722
40.209167
41.170833
41.399167
41 .063056
41.1125
41.118333
41 .784722
41 .760833
41 .293889
41.291111
41.301111
41.310833
41.331389
41 .550556
41 .277778
41.524167
38.984722
39.155
39.761111
39.551111
39.691944
39.691944
39.739444
38.644444
38.897222
38.880833
38.918889
29.703333
29.658333
30.144167
28.053889
26.082778
26.217222
-107.02111
-105.10111
-105.26335
-108.07278
-1 04.98762
-1 04.95627
-1 04.63472
-104.76139
-104.82778
-106.9625
-105.08012
-105.08012
-108.56102
-108.56102
-104.61222
-104.61222
-106.83083
-107.81167
-104.70611
-104.82306
-73.194722
-73.443056
-73.528889
-73.407222
-73.336667
-72.631667
-72.670833
-72.901389
-72.894167
-72.902778
-72.916944
-72.919722
-73.04361 1
-72.964444
-72.076667
-75.555556
-75.518056
-75.491944
-75.730833
-75.761667
-75.761667
-75.558056
-75.613056
-76.952778
-77.0325
-77.0125
-82.391389
-82.408333
-85.614444
-80.62861 1
-80.237778
-80.127778
A6
-------
120112004
120113002
120170005
1 2031 0098
1 2031 0099
1 20330004
1 20330025
1 20330026
1 20570030
1 20573002
1 2071 0005
120730012
120814012
1 20830003
120861016
1 20866001
120951004
1 20952002
1 20990008
1 20990009
1 20992005
121030018
121031009
1 21 056006
121111002
121130014
121150013
121171002
1 21 275002
1 3021 0007
130210012
130510017
1 3051 0091
1 30590001
1 30630091
1 30670003
1 30670004
1 30890002
1 30892001
1 30950007
131150005
1 31 21 0032
1 31 21 0039
1 31 270006
1 31 350002
1 31 350002
1 31 390003
1 31 530001
1 31 530001
1 31 850003
1 31 850003
132150001
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
Broward
Citrus
Duval
Duval
Escambia
Escambia
Escambia
Hillsborough
Hillsborough
Lee
Leon
Manatee
Marion
Miami-Dade
Orange
Orange
Palm Beach
Palm Beach
Palm Beach
Pinellas
Pinellas
Polk
St Lucie
Santa Rosa
Sarasota
Seminole
Volusia
Bibb
Bibb
Chatham
Chatham
Clarke
Clayton
Cobb
Cobb
De Kalb
De Kalb
Dougherty
Floyd
Fulton
Fulton
Glynn
Gwinnett
Gwinnett
Hall
Houston
Houston
Lowndes
Lowndes
Muscogee
Muscogee
26.000833
28.980556
30.135556
30.355833
30.525
30.437
30.55
27.931944
27.96565
26.602778
30.439722
27.480556
29.170278
25.794167
25.471389
28.550833
28.599444
26.724444
26.731
26.457778
27.785556
27.985945
28.029167
27.448889
30.408
27.290556
28.745556
29.206667
32.777231
32.805244
32.092778
32.11058
33.945833
33.609722
34.015346
33.899182
33.688007
33.901251
31.576917
34.263198
33.819424
33.802189
31.16953
33.963074
33.963074
34.300342
32.6056
32.6056
30.848056
30.848056
32.483543
32.521099
-80.160556
-82.7
-81.634167
-81 .548056
-87.204167
-87.256
-87.376
-82.509722
-82.2304
-81 .878889
-84.348333
-82.618889
-82.100833
-80.2061 1 1
-80.483333
-81 .345556
-81 .363056
-80.666667
-80.234
-80.093057
-82.74
-82.782231
-81 .972222
-80.40833
-86.89
-82.5075
-81.31
-81 .053056
-83.641242
-83.543628
-81.144167
-81.162024
-83.372222
-84.391 1 1 1
-84.607484
-84.661589
-84.290325
-84.279989
-84.100194
-85.304826
-84.389791
-84.435658
-81 .496046
-84.069193
-84.069193
-83.8139
-83.597907
-83.597907
-83.294444
-83.294444
-84.980977
-84.944695
A7
-------
132150008
132150008
132150011
1 32230003
1 32450005
1 32450091
1 32950002
1 32950002
1 33030001
1 33030001
133190001
150030010
150031001
150031004
1 50032004
1 50090006
160010011
1 6001 0021
160050015
160050018
160090010
160090011
160150002
160170005
160190011
160190013
1 6021 0002
1 60270004
1 60270005
1 60290003
1 6041 0001
1 60450001
1 60490002
1 60490003
1 60590004
160690012
160770011
160790017
1 7001 0006
170190004
170191001
170310014
1 7031 0022
1 7031 0050
1 7031 0052
1 7031 0057
1 7031 0076
170311016
1 7031 2001
1 7031 31 03
1 7031 3301
1 7031 4007
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
HI
HI
HI
HI
HI
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
Muscogee
Muscogee
Paulding
Richmond
Richmond
Walker
Walker
Washington
Washington
Wilkinson
Honolulu
Honolulu
Honolulu
Honolulu
Maul
Ada
Ada
Bannock
Bannock
Benewah
Benewah
Boise
Bonner
Bonneville
Bonneville
Boundary
Canyon
Canyon
Caribou
Franklin
Gem
Idaho
Idaho
Lemhi
Nez Perce
Power
Shoshone
Adams
Champaign
Champaign
Cook
Cook
Cook
Cook
Cook
Cook
Cook
Cook
Cook
Cook
Cook
Cook
32.521099
32.430944
33.92855
33.469018
33.433883
34.966557
34.966557
32.974722
32.974722
32.881667
21.329167
21.310278
21 .305
21 .396667
20.780997
43.6361 1 1
43.643167
42.876725
42.796463
47.316667
47.338702
44.104498
48.2675
43.278833
43.518267
48.70555
43.562401
43.5625
42.661298
42.013333
43.856442
45.931389
46.2094
45.170556
46.404722
42.9125
47.536389
39.935025
40.125657
40.0541 98
41 .834243
41.689195
41 .709561
41 .967429
41.914733
41.751369
41.801111
41 .663997
41 .965278
41 .782778
42.060278
42.14
-84.944695
-84.931818
-85.04548
-81.991581
-82.022414
-85.297229
-85.297229
-82.808889
-82.808889
-83.333889
-158.09333
-157.85806
-157.87333
-157.97167
-156.44637
-116.27028
-116.26476
-112.46035
-112.25812
-116.57028
-116.88461
-115.97239
-116.57222
-112.02278
-112.02071
-116.36897
-116.56323
-116.56361
-111.59144
-111.80917
-116.51546
-116.11528
-116.0275
-113.89222
-116.96889
-112.53556
-116.23667
-91 .404232
-88.229532
-88.372552
-87.6238
-87.539318
-87.568576
-87.749819
-87.722725
-87.713745
-87.831944
-87.696468
-87.876389
-87.805278
-87.863333
-87.799167
A8
-------
1 7031 4201
1 7031 6005
1 70434002
170831001
1 70890003
170971007
1 70990007
171110001
171132002
171150013
171190023
171191007
171192009
171193007
1 71 430037
1 71 570001
1 71 61 3002
171630010
1 71 634001
171670012
171971002
171971011
172010010
1 80030004
180030014
180190006
1 80350006
1 80372001
1 80390003
180431004
1 80650003
1 80670003
1 80830004
1 80890006
1 80890022
1 80890026
1 80890027
180891003
1 80892004
180892010
180910011
180910012
1 80950009
1 80970042
1 80970043
1 80970066
1 80970078
1 80970079
1 80970081
1 80970083
1 81 270020
1 81 270024
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
Cook
Du Page
Jersey
Kane
Lake
La Salle
Me Henry
Me Lean
Macon
Madison
Madison
Madison
Madison
Peoria
Randolph
Rock Island
St Clair
St Clair
Sangamon
Will
Will
Winnebago
Allen
Allen
Clark
Delaware
Dubois
Elkhart
Floyd
Henry
Howard
Knox
Lake
Lake
Lake
Lake
Lake
Lake
Lake
La Porte
La Porte
Madison
Marion
Marion
Marion
Marion
Marion
Marion
Marion
Porter
Porter
St Joseph
41 .864257
41.771195
39.110312
42.050278
42.467535
41.293125
42.221421
40.515278
39.866944
38.69948
38.704444
38.902778
38.860645
40.698886
38.178
41.514722
38.612222
38.529444
39.833792
41 .526667
41.221592
42.267222
41 .094722
41 .050556
38.277675
40.201111
38.391389
41 .667778
38.308056
40.011667
40.485556
38.740833
41.636111
41 .606667
41 .573056
41 .546667
41 .588889
41 .585278
41 .678333
41 .706944
41 .602222
40.111944
39.646254
39.744957
39.760437
39.811097
39.89361 1
39.788903
39.774944
41.631389
41.6175
41 .663333
-87.74888
-88.152502
-90.324168
-88.280278
-87.810024
-89.049242
-88.2421
-88.995833
-88.925556
-90.143433
-90.139444
-90.143056
-90.105754
-89.584741
-89.788455
-90.517222
-90.160278
-89.993056
-89.644167
-88.116389
-88.190948
-89.089444
-85.101944
-85.149722
-85.740153
-85.388056
-86.929167
-85.969444
-85.834167
-85.52361 1
-86.132778
-87.484722
-87.440833
-87.304722
-87.405833
-87.426389
-87.407778
-87.474444
-87.508333
-86.891 1 1 1
-86.730278
-85.68
-86.248784
-86.166496
-86.108848
-86.114469
-86.040556
-86.214628
-86.122053
-87.086944
-87.199167
-86.207778
A9
-------
181410014
181411008
1 81 41 2004
1 81 470009
1 81 570008
1 81 630006
181630012
181630016
181670018
1 81 670023
190130008
190330019
1 90330020
1 90450021
1 90630003
1 91 032001
191130037
1 91 370002
191390015
1 91 530030
191532510
1 91 532520
1 91 550009
191630015
191630018
1 91 770005
1 91 770006
191930017
1 91 970004
20091 0007
20091 0009
200910010
201 070002
201 730008
201 730009
201730010
201770010
201770011
201 91 0002
202090021
202090022
210130002
210190017
210290006
210370003
210430500
210470006
210590014
210610501
210670012
210670014
210730006
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
IN
IN
IN
IN
IN
IN
IN
IN
IN
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
KS
KS
KS
KS
KS
KS
KS
KS
KS
KS
KS
KS
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
St Joseph
St Joseph
Spencer
Tippecanoe
Vanderburgh
Vanderburgh
Vanderburgh
Vigo
Vigo
Black Hawk
Cerro Gordo
Cerro Gordo
Clinton
Emmet
Johnson
Linn
Montgomery
Muscat! ne
Polk
Polk
Polk
Pottawattamie
Scott
Scott
Van Buren
Van Buren
Woodbury
Wright
Johnson
Johnson
Johnson
Linn
Sedgwick
Sedgwick
Sedgwick
Shawnee
Shawnee
Sumner
Wyandotte
Wyandotte
Bell
Boyd
Bullitt
Campbell
Carter
Christian
Daviess
Edmonson
Fayette
Fayette
Franklin
Hardin
41 .69361 1
41 .694444
38.1675
40.431 639
37.971667
38.021667
37.974444
39.4861 1 1
39.4561 1 1
42.493056
43.161667
43.160434
41 .874972
43.3975
41 .657361
42.008333
40.971211
41 .400833
41.603132
41 .603479
41 .664722
41.264167
41.53
41.55
40.689167
40.695078
42.517222
42.695387
38.974444
38.863056
38.83859
38.135833
37.659722
37.651111
37.701111
39.04
39.021389
37.476944
39.1175
39.045833
36.608056
38.459167
37.985556
39.065556
38.238333
36.911667
37.741111
37.131389
38.065
38.038889
38.219361
37.706389
-86.236667
-86.2875
-86.983333
-86.8525
-87.567222
-87.569444
-87.532222
-87.401389
-87.370556
-92.343889
-93.208333
-93.203006
-90.177444
-94.817222
-91 .503472
-91 .67861 1
-95.043868
-91 .067778
-93.643234
-93.747821
-93.614167
-95.895833
-90.5875
-90.6
-91 .994444
-92.006318
-96.386389
-93.655982
-94.686944
-94.768889
-94.74643
-94.731 944
-97.297222
-97.362222
-97.313889
-95.691667
-95.748333
-97.366389
-94.635556
-94.694444
-83.736944
-82.640556
-85.713056
-84.451 944
-82.988333
-87.32361 1
-87.118056
-86.148056
-84.5
-84.5075
-84.8385
-85.851667
A10
-------
210930006
211010014
211110043
211110044
211110048
211110051
211170007
211250004
211451004
211510003
211930003
211950002
212270007
220171002
220190009
220190010
220290003
220330009
220331001
220470005
220470009
220511001
22051 2001
220550005
220550006
220710010
220710012
220730004
220790002
220870004
221 050001
221 090001
221210001
230010011
230030013
230031011
230050015
230050027
2300901 03
230110016
230112002
230172011
230190002
240030014
240030019
240031003
240032002
240051007
240053001
240150003
240251001
24031 3001
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
ME
ME
ME
ME
ME
ME
ME
ME
ME
ME
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
Henderson
Jefferson
Jefferson
Jefferson
Jefferson
Kenton
Laurel
McCracken
Madison
Perry
Pike
Warren
Caddo
Calcasieu
Calcasieu
Concordia
East Baton Rouge
East Baton Rouge
Iberville
Iberville
Jefferson
Jefferson
Lafayette
Lafayette
Orleans
Orleans
Ouachita
Rapides
St Bernard
Tangipahoa
Terrebonne
West Baton Rouge
Androscoggin
Aroostook
Aroostook
Cumberland
Cumberland
Hancock
Kennebec
Kennebec
Oxford
Penobscot
Anne Arundel
Anne Arundel
Anne Arundel
Anne Arundel
Baltimore
Baltimore
Cecil
Harford
Montgomery
Prince Georges
37.871389
38.233222
38.190833
38.240556
38.060833
39.0725
37.087222
37.065556
37.738056
37.283056
37.482778
36.993333
32.478333
30.227778
30.177143
31 .574236
30.461111
30.587222
30.217778
30.220556
30.043333
29.883056
30.2175
30.274833
29.9555
29.994444
32.509713
31.177638
29.941667
30.503056
29.678883
30.501944
44.089444
47.355
46.682222
43.678056
43.661 944
44.37705
44.312222
44.549167
44.550833
44.798849
38.9025
39.101111
39.169533
39.159722
39.460833
39.310833
39.701111
39.41
39.114444
39.02
-87.463333
-85.825278
-85.780556
-85.731667
-85.8961 1 1
-84.525
-84.063333
-88.637778
-84.285556
-83.220278
-82.535278
-86.418333
-93.765833
-93.578333
-93.214514
-91 .455236
-91.176944
-91 .206944
-91 .060556
-91.316111
-90.275
-90.083333
-92.051389
-92.0172
-90.12166
-90.102778
-92.046093
-92.410611
-89.933333
-90.376944
-90.779967
-91 .209722
-70.215
-68.322778
-68.016111
-70.256667
-70.265833
-68.2609
-69.786389
-69.630833
-70.548333
-68.769745
-76.653056
-76.729444
-76.627933
-76.511667
-76.631111
-76.474444
-75.86
-76.296667
-77.106944
-76.827778
All
-------
240330002
240330030
240338003
240430009
245100006
245100007
245100008
245100035
245100040
245100049
250035001
250051004
250092006
250095005
250096001
250130008
250130016
250132009
250230004
250250002
250250027
250250042
250250043
250270016
250270023
260050003
260170014
260210014
260330901
260330902
260490021
260650012
260770008
26081 0020
260990009
261130001
261150005
261 21 0040
261 250001
261 390005
261450018
261 470005
261 61 0005
261 61 0008
261 630001
261630015
261630016
261630019
261 630025
261 630033
261 630036
261 630038
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
MD
MD
MD
MD
MD
MD
MD
MD
MD
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
MN
Prince Georges
Prince Georges
Washington
Baltimore City
Baltimore City
Baltimore City
Baltimore City
Baltimore City
Baltimore City
Berkshire
Bristol
Essex
Essex
Essex
Hampden
Hampden
Hampden
Plymouth
Suffolk
Suffolk
Suffolk
Suffolk
Worcester
Worcester
Allegan
Bay
Berrien
Chippewa
Chippewa
Genesee
Ingham
Kalamazoo
Kent
Macomb
Missaukee
Monroe
Muskegon
Oakland
Ottawa
Saginaw
St Clair
Washtenaw
Washtenaw
Wayne
Wayne
Wayne
Wayne
Wayne
Wayne
Wayne
Wayne
Cass
39.055277
38.81194
39.565556
39.340556
39.344444
39.28768
39.232778
39.298056
39.261667
42.451667
41 .6857
42.474444
42.762778
42.69861 1
42.19446
42.108889
42.106
42.079722
42.348933
42.372928
42.329444
42.362778
42.259167
42.265802
42.767778
43.571389
42.197778
46.49361 1
46.481 667
43.04722
42.73861 1
42.278056
42.984167
42.731389
44.310556
41 .763889
43.233056
42.463056
42.894444
43.508333
42.953333
42.293889
42.240556
42.22861 1
42.302778
42.3578
42.430833
42.423055
42.306666
42.18728
42.335
47.159942
-76.878333
-76.74417
-77.721944
-76.582222
-76.685278
-76.547616
-76.579722
-76.604722
-76.6375
-73.255
-71.1698
-70.9725
-71.105833
-71.165833
-72.55571 1
-72.591389
-72.597585
-71.015278
-71 .097733
-71.063311
-71 .082778
-71.054167
-71.799167
-71 .794835
-86.148611
-83.890833
-86.309722
-84.364167
-84.331667
-83.670278
-84.534722
-85.541944
-85.671389
-82.79361 1
-84.891 944
-83.471944
-86.23861 1
-83.183333
-85.852778
-83.968056
-82.456389
-83.711111
-83.599722
-83.208333
-83.106667
-83.09617
-83.000278
-83.426389
-83.148889
-83.15404
-83.1097
-94.150987
A12
-------
27021 0001
270370470
270530050
270530961
270530963
270530964
270530965
270530968
270531007
270532006
270953051
271 095008
271 230866
271 230868
271 230871
271 377001
271 377550
271 377551
271 390505
271 453052
28001 0004
280110001
280330002
280350004
280450001
280470008
280490010
280490018
280590006
280670002
280750003
28081 0005
280870001
281 090001
281210001
281 230001
281 490004
290190004
29021 0005
290210010
290370003
290390001
290470005
290470026
290770032
290950010
290950034
290950041
290970003
290990012
291 250001
291 290001
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
Dakota
Hennepin
Hennepin
Hennepin
Hennepin
Hennepin
Hennepin
Hennepin
Hennepin
Mille Lacs
Olmsted
Ramsey
Ramsey
Ramsey
St Louis
St Louis
St Louis
Scott
Stearns
Adams
Bolivar
De Soto
Forrest
Hancock
Harrison
Hinds
Hinds
Jackson
Jones
Lauderdale
Lee
Lowndes
Pearl River
Rankin
Scott
Warren
Boone
Buchanan
Buchanan
Cass
Cedar
Clay
Clay
Greene
Jackson
Jackson
Jackson
Jasper
Jefferson
Maries
Mercer
Monroe
44.740751
45.001229
44.87753
44.955396
44.888551
45.004478
44.893005
45.041815
44.950047
46.207026
43.996908
44.899379
44.952442
44.961451
47.523355
46.820199
46.766667
44.791437
45.549839
31 .560389
33.746056
34.82166
31 .323639
30.230167
30.390139
32.385583
32.296806
30.378194
31 .688444
32.364389
34.264917
33.490972
30.5295
32.275528
32.32
32.322833
38.956389
39.741667
39.755278
38.770278
37.695833
39.303056
39.148611
37.205278
39.036
39.104722
39.10944
37.21
38.437778
38.274083
40.56
39.473056
-93.237293
-93.267117
-93.25882
-93.25827
-93.195377
-93.240046
-93.233227
-93.298729
-93.342874
-93.75941 1
-92.450366
-93.017155
-93.098475
-93.035894
-92.536305
-92.08941
-92.133056
-93.512534
-94.13345
-91 .39025
-90.723028
-89.98783
-89.287167
-89.567444
-89.049722
-90.140917
-90.188306
-88.533944
-89.135056
-88.731444
-88.766222
-88.418528
-89.691056
-90.132528
-89.666667
-90.8871 1 1
-92.321667
-94.858333
-94.845556
-94.58
-94.0375
-94.376389
-94.565
-93.283333
-94.5741
-94.570556
-94.44
-94.307778
-90.361389
-91.701611
-93.418333
-91.789167
A13
-------
291 370001
291831002
291 860006
291 890004
291 892003
295100007
295100085
295100086
295100087
300131026
300290009
300290047
30031 0008
300310013
300470013
300470028
300490018
300490019
300530018
300630012
300630021
300630031
30081 0001
300870307
300890007
300930005
301111065
310250002
310550019
310550051
310550052
310790003
310790004
311090022
311111002
311530007
311570003
311770002
320030020
320030022
320030073
320030298
320030298
320030539
320030560
320030561
320030601
320031019
320032002
320032002
320310016
33001 2004
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
MO
MO
MO
MO
MO
MO
MO
MO
MT
MT
MT
MT
MT
MT
MT
MT
MT
MT
MT
MT
MT
MT
MT
MT
MT
MT
NE
NE
NE
NE
NE
NE
NE
NE
NE
NE
NE
NV
NV
NV
NV
NV
NV
NV
NV
NV
NV
NV
NV
NV
NH
NH
St Charles
Ste Genevieve
St Louis
St Louis
St Louis City
St Louis City
St Louis City
St Louis City
Cascade
Flathead
Flathead
Gallatin
Gallatin
Lake
Lake
Lewis And Clark
Lewis And Clark
Lincoln
Missoula
Missoula
Missoula
Ravalli
Rosebud
Sanders
Silver Bow
Yellowstone
Cass
Douglas
Douglas
Douglas
Hall
Hall
Lancaster
Lincoln
Sarpy
Scotts Bluff
Washington
Clark
Clark
Clark
Clark
Clark
Clark
Clark
Clark
Clark
Clark
Clark
Clark
Washoe
Belknap
Cheshire
38.8725
37.967222
38.5325
38.649722
38.5425
38.6563
38.672222
38.642444
47.502222
48.399722
48.2025
45.772778
44.657778
47.526944
47.692222
46.603889
46.954475
48.384167
46.881288
47.1771
46.874912
46.244444
45.623333
47.596389
46.0025
45.801944
40.865556
41 .247222
41.386111
41 .333056
40.925
40.942099
40.81259
41.136111
41.133613
41 .865
41.551136
36.245278
36.390775
36.173056
36.052222
36.052222
36.144444
36.158611
36.163994
35.978889
35.785634
36.191111
36.191111
39.525083
43.565278
42.930556
-90.226389
-90.051 1 1 1
-90.382778
-90.350556
-90.26361 1
-90.1981
-90.238889
-90.185583
-1 1 1 .27889
-114.33361
-114.30556
-111.1775
-1 1 1 .09083
-114.10056
-114.16222
-112.03528
-112.69674
-115.54806
-113.88474
-113.4827
-113.99525
-114.15722
-106.66806
-115.32361
-112.5
-108.42611
-96.146667
-95.975556
-96.115833
-96.099722
-98.339444
-98.364967
-96.68302
-100.76444
-95.955835
-103.66444
-96.146753
-115.09222
-114.90681
-115.33167
-115.05694
-115.05694
-115.08556
-115.11083
-115.11393
-114.84417
-115.35706
-115.12222
-115.12222
-119.80772
-71 .495833
-72.277778
A14
-------
330050007
330070014
330090008
330110020
330111010
330115001
330131006
330150014
330190003
340011006
340030003
340070003
340070003
340071007
340130015
340155001
340171003
340171003
34021 0008
34021 8001
340230006
340270004
340273001
340292002
34031 0005
340390004
340390004
340390006
340392003
34041 0006
35001 0023
35001 0024
350019013
350050005
350130017
350130025
350171002
350250007
350431003
350439004
35043901 1
350450006
350490020
36001 0005
360050080
360050083
360050110
360130011
360290005
360291007
36031 0003
3604701 22
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
NH
NH
NH
NH
NH
NH
NH
NH
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NM
NM
NM
NM
NM
NM
NM
NM
NM
NM
NM
NM
NM
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
Coos
Grafton
Hillsborough
Hillsborough
Hillsborough
Merrimack
Rockingham
Sullivan
Atlantic
Bergen
Camden
Camden
Camden
Essex
Gloucester
Hudson
Hudson
Mercer
Mercer
Middlesex
Morris
Morris
Ocean
Passaic
Union
Union
Union
Union
Warren
Bernalillo
Bernalillo
Bernalillo
Chaves
Dona Ana
Dona Ana
Grant
Lea
Sandoval
Sandoval
Sandoval
San Juan
Santa Fe
Albany
Bronx
Bronx
Bronx
Chautauqua
Erie
Erie
Essex
Kings
Monroe
44.471 1 1 1
44.083889
43.000556
42.701 944
42.861901
43.132444
43.075278
43.364444
39.362641
40.851667
39.92304
39.92304
39.98888
40.731 944
39.825833
40.72545
40.72545
40.222222
40.3124
40.47279
40.803056
40.78763
39.995
40.918611
40.64144
40.64144
40.673056
40.60607
40.687222
35.13426
35.0631
34.9031
33.396944
31 .795833
32.321944
32.784444
32.724722
35.238056
35.615278
35.5064
36.7275
35.671111
42.6424
40.83608
40.86586
40.81616
42.29073
42.87684
42.82728
44.39309
40.7198
43.146198
-71.166667
-72.01
-71 .468056
-71 .445
-71.878613
-71 .45827
-70.748056
-72.338333
-74.429345
-73.973333
-75.09762
-75.09762
-75.049167
-74.205278
-75.289444
-74.05229
-74.05229
-74.76361 1
-74.8726
-74.42251
-74.483333
-74.6763
-74.165833
-74.167778
-74.20836
-74.20836
-74.213611
-74.27498
-75.181389
-106.58551
-106.57879
-106.7
-104.52361
-106.5575
-106.76778
-108.27167
-103.12861
-1 06.64944
-106.72444
-106.7222
-108.22083
-105.95361
-73.75453
-73.92021
-73.88075
-73.90207
-79.58658
-78.80988
-78.84989
-73.85892
-73.94788
-77.54813
A15
-------
360551007
360556001
360590008
36061 0056
36061 0062
36061 0079
36061 01 28
360632008
360671015
36071 0002
36081 01 24
360850055
360850067
360893001
361 01 0003
361 030001
361191002
37001 0002
37021 0034
370250004
370330001
370350004
370350006
370370004
37051 0009
370570002
370570003
370570004
37061 0002
370630001
370650004
370670022
370670024
370710016
370810013
370870010
370990006
371 070004
371 1 1 0004
371170001
371190010
371190041
371190042
371210001
371 230001
371 290002
371 330005
371 350007
371 470005
371 550005
371 730002
371830014
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
Monroe
Nassau
New York
New York
New York
New York
Niagara
Onondaga
Orange
Queens
Richmond
Richmond
St Lawrence
Steuben
Suffolk
West Chester
Alamance
Buncombe
Cabarrus
Caswell
Catawba
Catawba
Chatham
Cumberland
Davidson
Davidson
Davidson
Duplin
Durham
Edgecombe
Forsyth
Forsyth
Gaston
Guilford
Haywood
Jackson
Lenoir
Me Dowell
Martin
Mecklenburg
Mecklenburg
Mecklenburg
Mitchell
Montgomery
New Hanover
Onslow
Orange
Pitt
Robeson
Swain
Wake
Watauga
43.161
40.63102
40.75917
40.72052
40.79937
40.73003
43.08216
43.05238
41 .49947
40.7362
40.63302
40.59733
44.67778
42.09071
40.745833
40.93006
36.089004
35.609722
35.506944
36.307033
35.728889
35.7278
35.757222
35.041416
35.814444
35.77881
35.84119
34.954823
35.991944
35.93355
36.110556
36.171389
35.253056
36.109167
35.489167
35.466667
35.231459
35.687404
35.81069
35.225278
35.240278
35.151389
35.915278
35.26
34.364167
34.772828
35.901944
35.594167
34.6425
35.435509
35.856111
36.221944
-77.60357
-73.73479
-73.96651
-74.00409
-73.93334
-73.98446
-79.00099
-76.0592
-74.00973
-73.82317
-74.13713
-74.12619
-74.94999
-77.21025
-73.420278
-73.76924
-79.407821
-82.350833
-80.618056
-79.467417
-81 .365556
-81 .3425
-79.159722
-78.953112
-80.2625
-80.30236
-80.24452
-77.960781
-78.896389
-77.75007
-80.226667
-80.281944
-81.153333
-79.801 1 1 1
-82.9875
-83.278056
-77.568792
-81 .993789
-76.89782
-80.882778
-80.785556
-80.866944
-82.073333
-79.84
-77.83861 1
-77.42796
-79.056667
-77.3861 1 1
-78.990278
-83.443697
-78.574167
-81 .663056
A16
-------
371 890003
371 91 0005
380070002
380130002
380130003
380150003
380171004
380530002
380570004
390090003
390170003
390170003
390170016
390170017
390171004
390230005
390350027
390350034
390350038
390350045
390350060
390350065
390350066
390351002
390490024
390490025
390490081
390570005
390610014
39061 0040
39061 0041
39061 0042
39061 0043
39061 7001
39061 8001
390810017
390811001
390851001
390870010
390930016
390933002
390950024
390950025
390950026
390990005
390990014
391130031
391130032
391 330002
391351001
391450013
391510017
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
NC
ND
ND
ND
ND
ND
ND
ND
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
Wayne
Billings
Burke
Burke
Burleigh
Cass
McKenzie
Mercer
Athens
Butler
Butler
Butler
Butler
Butler
Clark
Cuyahoga
Cuyahoga
Cuyahoga
Cuyahoga
Cuyahoga
Cuyahoga
Cuyahoga
Cuyahoga
Franklin
Franklin
Franklin
Greene
Hamilton
Hamilton
Hamilton
Hamilton
Hamilton
Hamilton
Hamilton
Jefferson
Jefferson
Lake
Lawrence
Lorain
Lorain
Lucas
Lucas
Lucas
Mahoning
Mahoning
Montgomery
Montgomery
Portage
Preble
Scioto
Stark
Stark
35.369214
46.8943
48.9904
48.876553
46.825425
46.933754
47.5812
47.29861 1
39.4425
39.49361 1
39.49361 1
39.338333
39.525
39.53
39.928889
41 .4775
41 .555
41 .476944
41.471667
41 .493955
41 .446389
41 .462778
41 .395556
39.998333
39.928056
40.087778
39.808056
39.194167
39.128611
39.185967
39.105
39.290278
39.16
39.180278
40.366104
40.321 944
41 .755
38.519722
41 .439444
41 .463056
41.644167
41.661944
41 .620556
41.111111
41 .095868
39.759444
39.760278
41.164167
39.835556
38.754167
40.786667
40.800556
-77.993893
-103.37853
-102.7815
-102.56842
-100.76821
-96.85535
-103.2995
-101.76694
-81 .90861 1
-84.353889
-84.353889
-84.566389
-84.369444
-84.3925
-83.809722
-81 .703056
-81.575
-81.681944
-81 .657222
-81 .678542
-81.661944
-81 .580278
-81.818056
-82.993056
-82.981 1 1 1
-82.959722
-83.886944
-84.478889
-84.5041 67
-84.513719
-84.551 1 1 1
-84.41 4444
-84.457778
-84.491944
-80.615002
-80.606389
-81 .273056
-82.665556
-82.161667
-82.114444
-83.546667
-83.479444
-83.641389
-80.645278
-80.658426
-84.144444
-84.187778
-81.235
-84.720833
-82.9175
-81 .394444
-81 .373333
A17
-------
391 51 0020
391530017
391 530023
391 550007
400159008
400179001
400190295
40021 9002
400470554
40071 0602
40071 9003
400719010
40081 9005
4009701 86
400979014
401010169
401 090035
401091037
401159004
401210415
401 339006
401359015
401430110
401431127
410090004
410170120
410290133
410291001
410292129
410294001
410330114
410350004
410390060
410391007
410391009
410392013
410430009
410510080
410510246
410610119
410650007
410670111
410671003
42001 0001
420030008
420030021
420030064
420030067
420030093
420030095
420030116
4200301 33
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
OH
OH
OH
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
Summit
Summit
Trumbull
Caddo
Canadian
Carter
Cherokee
Garfield
Kay
Kay
Kay
Lincoln
Mayes
Mayes
Muskogee
Oklahoma
Oklahoma
Ottawa
Pittsburg
Seminole
Sequoyah
Tulsa
Tulsa
Columbia
Deschutes
Jackson
Jackson
Jackson
Jackson
Josephine
Klamath
Lane
Lane
Lane
Lane
Linn
Multnomah
Multnomah
Union
Wasco
Washington
Washington
Adams
Allegheny
Allegheny
Allegheny
Allegheny
Allegheny
Allegheny
Allegheny
Allegheny
Allegheny
41 .063333
41 .088056
41.214167
35.111944
35.613044
34.166667
35.855
36.420278
36.705328
36.662778
36.956731
35.6725
36.304624
36.2284
35.755273
35.47292
35.614131
36.922222
34.90227
35.129722
35.58175
36.14004
36.204902
45.768056
44.063904
42.314078
42.5361 1 1
42.332222
42.426389
42.434139
42.188889
44.02631 2
43.833898
44.046696
43.744352
44.615648
45.496667
45.561301
45.338972
45.602399
45.4702
45.518294
39.92
40.465556
40.413611
40.32361 1
40.381944
40.607222
40.486944
40.47361 1
40.260129
40.618611
-81 .46861 1
-81.541667
-80.7875
-98.252778
-97.99325
-97.126389
-94.9861 1 1
-97.886944
-97.087656
-97.074444
-97.034369
-96.657222
-95.310616
-95.25
-95.377669
-97.52709
-97.475083
-94.838889
-95.784375
-96.490556
-94.829
-95.925382
-95.976537
-122.77194
-121.31258
-122.87924
-122.875
-122.87972
-122.85083
-123.34849
-121.7225
-123.08374
-123.03498
-123.0177
-122.48052
-123.0916
-122.60222
-122.67878
-117.9048
-121.20335
-122.81585
-122.96705
-77.31
-79.961 1 1 1
-79.941389
-79.868333
-80.185556
-80.020833
-80.188056
-80.077222
-79.886498
-79.727222
A18
-------
420031008
420031301
420033007
420039002
420070014
420110009
420170012
420210011
4202701 00
4202901 00
42041 01 01
420430401
420450002
420490003
420692006
42071 0007
420770004
420791101
4208501 00
420910013
420950025
420990301
421 01 0004
421 01 0004
421010014
421 01 0020
421 01 0024
421 01 0047
421010136
421 250005
421 250200
421 255001
421 290008
421 330008
440030002
440070022
440070026
440070028
440071010
450030003
450130007
450150005
450190048
450190049
450250001
450370001
45041 0002
450430009
450450008
450450009
450470003
45051 0002
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
Rl
Rl
Rl
Rl
Rl
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
Allegheny
Allegheny
Allegheny
Beaver
Berks
Bucks
Cambria
Centre
Chester
Cumberland
Dauphin
Delaware
Erie
Lackawanna
Lancaster
Lehigh
Luzerne
Mercer
Montgomery
Northampton
Perry
Philadelphia
Philadelphia
Philadelphia
Philadelphia
Philadelphia
Philadelphia
Philadelphia
Washington
Washington
Washington
Westmoreland
York
Kent
Providence
Providence
Providence
Providence
Aiken
Beaufort
Berkeley
Charleston
Charleston
Chesterfield
Edgefield
Florence
Georgetown
Greenville
Greenville
Greenwood
Horry
Lexington
40.4025
40.294444
40.546944
40.747778
40.320278
40.107222
40.309722
40.811389
39.834444
40.246528
40.245
39.835556
42.14175
41 .442778
40.046667
40.611944
41 .265556
41.215
40.112222
40.628056
40.456944
40.008889
40.008889
40.05
40.002222
40.076389
39.944722
39.9275
40.146667
40.170556
40.445278
40.304694
39.965278
41.6156
41 .807949
41 .874655
41 .80933
41 .84092
33.342226
32.436539
33.19698
32.980254
32.790984
34.615367
33.741693
34.167636
33.373994
34.838814
34.901 046
34.214556
33.702771
34.052805
-79.860278
-79.886667
-79.783889
-80.316667
-75.926667
-74.882222
-78.915
-77.877028
-75.76861 1
-77.18675
-76.844722
-75.3725
-80.03861 1
-75.623056
-76.283333
-75.4325
-75.846389
-80.485
-75.309167
-75.341 1 1 1
-77.165556
-75.097778
-75.097778
-75.240556
-75.220278
-75.011944
-75.166111
-75.222778
-79.902222
-80.261389
-80.420833
-79.505667
-76.699444
-71.7199
-71.415
-71 .379944
-71 .40743
-71 .36094
-81 .788731
-80.677854
-79.976767
-80.06501
-79.958694
-80.198787
-81 .853633
-79.850404
-79.285697
-82.402914
-82.31307
-82.173146
-78.877478
-81.15495
A19
-------
450630008
450730001
450750002
450790007
450790019
450830010
460110002
460130003
460290002
46071 0001
460930001
460990006
460990007
461030013
461030016
461 030020
461031001
47009001 1
470370023
470370025
470370036
470450004
470650031
470651011
470654002
470930028
470931013
470931017
470931020
470990002
471 0501 08
471071002
471130006
471192007
471251009
471 41 0001
471 450004
471570014
471 570038
471 570047
471 570047
471571004
471631007
471 650007
480370004
480430002
4804301 01
48061 2002
481130035
481130035
481130050
481130050
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
SC
SC
SC
SC
SC
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TX
TX
TX
TX
TX
TX
TX
TX
TX
Oconee
Orangeburg
Richland
Richland
Spartanburg
Brookings
Brown
Codington
Jackson
Meade
Minnehaha
Minnehaha
Pennington
Pennington
Pennington
Pennington
Blount
Davidson
Davidson
Davidson
Dyer
Hamilton
Hamilton
Hamilton
Knox
Knox
Knox
Knox
Lawrence
Loudon
McMinn
Madison
Maury
Montgomery
Putnam
Roane
Shelby
Shelby
Shelby
Shelby
Shelby
Sullivan
Sumner
Bowie
Brewster
Brewster
Cameron
Dallas
Dallas
Dallas
Dallas
Dallas
34.805261
33.529881
34.093959
33.993299
34.926839
44.310283
45.4625
44.89965
43.74561
44.155636
43.544289
43.537626
44.083489
44.064932
44.087397
44.080295
35.768333
36.176326
36.1
36.118251
36.052778
34.990944
35.233527
35.050928
35.94361 1
35.98055
35.975
36.01944
35.116111
35.7447
35.451111
35.653651
35.64361 1
36.514444
36.173611
35.9386
35.085833
35.184167
35.16895
35.16895
35.377222
36.540654
36.297778
33.425757
30.3658
29.3025
26.135172
32.916667
32.916667
32.774167
32.774167
32.7789
-83.2377
-80.866837
-80.962304
-81.024141
-82.00521
-96.80071
-98.4861 1 1
-97.128802
-101.94122
-103.31577
-96.726435
-96.682001
-103.2696
-103.20914
-103.27378
-103.22855
-83.942222
-86.738902
-86.734444
-86.873547
-89.381944
-85.22875
-85.181806
-85.292975
-84.038889
-83.93277
-83.954444
-83.87361
-87.47
-84.3174
-84.5991 67
-88.809084
-87.013056
-87.327778
-85.509444
-84.5438
-89.949444
-89.930278
-90.021567
-90.021567
-89.832222
-82.521667
-86.652778
-94.070807
-103.6491
-103.16782
-97.630039
-96.76861 1
-96.76861 1
-96.797778
-96.797778
-96.873056
A20
-------
481130057
481130057
481130069
481130087
481130087
481133004
481133004
481 350003
481390015
481 41 0053
481670014
481670014
481 830001
48201 0024
48201 0024
48201 0026
48201 0026
48201 0055
48201 0055
48201 0058
482011034
482011035
482011035
482030002
482150042
482150043
482430004
482450021
482450021
482450022
482570005
482730314
483030001
483390078
483390078
483550032
483550034
483611001
483611001
48361 1 1 00
483750005
484391002
484391006
484393006
490030003
490037001
490050004
490050005
490050006
490110004
490350003
490350012
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
UT
UT
UT
UT
UT
UT
UT
UT
UT
Dallas
Dallas
Dallas
Dallas
Dallas
Dallas
Ector
Ellis
El Paso
Galveston
Galveston
Gregg
Harris
Harris
Harris
Harris
Harris
Harris
Harris
Harris
Harris
Harris
Harrison
Hidalgo
Hidalgo
Jeff Davis
Jefferson
Jefferson
Jefferson
Kaufman
Kleberg
Lubbock
Montgomery
Montgomery
Nueces
Nueces
Orange
Orange
Orange
Potter
Tarrant
Tarrant
Tarrant
Box Elder
Box Elder
Cache
Cache
Cache
Davis
Salt Lake
Salt Lake
Salt Lake
32.7789
32.819952
32.6766
32.6766
32.7106
32.7106
31 .826578
32.436944
31.758516
29.263319
29.263319
32.37871
29.901111
29.901111
29.8025
29.8025
29.695736
29.695736
29.770686
29.767993
29.733713
29.733713
32.669003
26.309858
26.226238
30.66938
29.922778
29.922778
29.863951
32.569167
27.42694
33.590851
30.3503
30.3503
27.8044
27.8118
30.084444
30.084444
30.194167
35.209963
32.805
32.758889
32.693056
41 .492778
41 .94595
41.731111
41 .8594
41 .63546
40.902967
40.646667
40.8075
40.70861 1
-96.873056
-96.860082
-96.8716
-96.8716
-96.8033
-96.8033
-102.34198
-97.025
-106.50105
-94.856568
-94.856568
-94.711833
-95.326944
-95.326944
-95.12555
-95.12555
-95.499236
-95.499236
-95.031215
-95.220576
-95.257591
-95.257591
-94.167449
-98.183101
-98.291064
-104.02463
-93.908889
-93.908889
-94.317757
-96.315833
-97.29861
-1 01 .84759
-95.425135
-95.425135
-97.4317
-97.465633
-93.761667
-93.761667
-93.866944
-101.83192
-97.356389
-97.342222
-97.24861 1
-112.01806
-112.23318
-1 1 1 .8375
-1 1 1 .8952
-111.86819
-1 1 1 .88447
-1 1 1 .84972
-111.92111
-112.09472
A21
-------
490351001
490353006
490353007
490353008
490490002
490494001
490495008
490495010
490570002
490570007
490571003
50001 0002
50001 0003
500030004
500070012
500070012
500070014
50021 0002
510130020
510360002
510410003
510590030
510591005
510595001
510870014
510870015
511071005
511390004
515200006
516500004
516800015
517100024
517600020
517700014
517750010
518100008
530050002
530110013
530110022
530251002
530272002
530330017
530330023
530330024
530330037
530330057
530330080
530470009
530530029
530611007
530630016
530630047
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
VT
VT
VT
VT
VT
VT
VT
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
Salt Lake
Salt Lake
Salt Lake
Utah
Utah
Utah
Utah
Weber
Weber
Weber
Addison
Addison
Bennington
Chittenden
Chittenden
Chittenden
Rutland
Arlington
Charles City
Chesterfield
Fairfax
Fairfax
Fairfax
Henri co
Henrico
Loudoun
Page
Bristol City
Hampton City
Lynchburg City
Norfolk City
Richmond City
Roanoke City
Salem City
Virginia Beach City
Benton
Clark
Clark
Grant
Grays Harbor
King
King
King
King
King
King
Okanogan
Pierce
Snohomish
Spokane
Spokane
Thurston
40.736389
40.704444
40.517946
40.25361 1
40.341 389
40.430278
40.136389
41 .206389
41.179722
41 .303683
43.926516
43.867686
42.88759
44.480278
44.480278
44.4762
43.608056
38.8575
37.343294
37.4361 1 1
38.772778
38.837517
38.931944
37.558333
37.670278
39.024444
38.663333
36.607778
37.003333
37.3605
36.857778
37.510556
37.256111
37.291944
36.841111
46.218611
45.648333
45.867734
47.130336
46.972696
47.489722
47.141111
47.755
47.613056
47.563333
47.570273
48.364267
47.1864
48.055556
47.660833
47.701111
47.028889
-1 1 1 .87222
-111.96861
-112.02305
-1 1 1 .66306
-111.71361
-1 1 1 .80389
-1 1 1 .65972
-1 1 1 .97472
-1 1 1 .98306
-1 1 1 .98707
-73.384638
-73.356172
-73.24984
-73.214444
-73.214444
-73.2106
-72.982778
-77.059167
-77.260034
-77.450833
-77.105556
-77.163231
-77.198889
-77.400278
-77.5675
-77.49
-78.504722
-82.164444
-76.399167
-79.1883
-76.301667
-77.498333
-79.985
-80.056944
-76.181389
-119.20556
-122.58694
-122.41195
-119.2726
-123.83047
-121.77333
-121.93306
-122.2806
-122.20167
-122.3406
-122.3086
-120.12112
-122.4517
-122.1758
-117.35722
-117.425
-122.82083
A22
-------
530670013
530730015
530770009
540030003
540090005
540110006
540110006
54029001 1
540291004
540330003
540390010
540390010
54039001 1
540391005
540391005
540490006
540511002
540550002
540550002
54061 0003
540690008
54081 0002
540890001
541071002
550030010
550090005
550090009
550250047
550270007
55041 0007
550430009
550590019
55071 0007
550790010
550790026
550790043
550790059
550790099
550870009
550890009
551091002
551 1 1 0007
551198001
551 250001
551 330027
551 350004
560050877
560050892
560050899
560090819
560131003
56021 0001
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
WA
WA
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
WY
WY
WY
WY
WY
WY
WY
Whatcom
Yakima
Berkeley
Brooke
Cabell
Cabell
Hancock
Hancock
Harrison
Kanawha
Kanawha
Kanawha
Kanawha
Kanawha
Marion
Marshall
Mercer
Mercer
Monongalia
Ohio
Raleigh
Summers
Wood
Ashland
Brown
Brown
Dane
Dodge
Forest
Grant
Kenosha
Manitowoc
Milwaukee
Milwaukee
Milwaukee
Milwaukee
Milwaukee
Outagamie
Ozaukee
St Croix
Sauk
Taylor
Vilas
Waukesha
Waupaca
Campbell
Campbell
Campbell
Converse
Fremont
Laramie
Sheridan
48.762778
46.59678
39.448006
40.338056
38.42451
38.42451
40.3945
40.42154
39.278056
38.34562
38.34562
38.44861 1
38.368056
38.368056
39.480833
39.91597
37.26732
37.26732
39.649444
40.06383
37.80794
37.773056
39.32366
46.61455
44.516667
44.52361 1
43.073333
43.435
45.56498
42.69215
42.504722
44.138611
43.016667
43.061111
43.02641
42.955
43.039722
44.306944
43.498056
45.124444
43.435556
45.203889
46.048056
43.020278
44.35288
43.676944
44.098889
44.471 944
43.426667
42.841111
41.14
44.797222
-122.44028
-120.51222
-77.964125
-80.597222
-82.425323
-82.425323
-80.612034
-80.580898
-80.3425
-81 .628422
-81 .628422
-81 .683889
-81 .69361 1
-81 .69361 1
-80.135278
-80.734057
-81 .235857
-81 .235857
-79.921111
-80.720504
-81.197461
-80.706667
-81.552196
-90.69868
-87.993889
-88.001 1 1 1
-89.435833
-88.527778
-88.80859
-90.68637
-87.8093
-87.616111
-87.933333
-87.9125
-87.91111
-87.934167
-87.920556
-88.395556
-87.81
-92.6625
-89.680278
-90.6
-89.65361 1
-88.215
-89.05083
-105.23583
-105.34278
-105.55583
-105.38583
-108.73556
-104.81722
-106.94917
A23
-------
560330001
560330002
560390006
72021 0009
720530003
720570008
720590016
72061 0005
720690001
72081 0001
720970003
721130004
721 270003
780100012
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
WY
WY
PR
PR
PR
PR
PR
PR
PR
PR
PR
PR
VI
VI
Sheridan
Teton
Bayamon
Fajardo
Guyama
Guyanilla
Guaynabo
Humacao
Lares
Mayaguez
Ponce
San Juan
44.833333
43.480833
18.399167
1 8.383333
1 7.957222
18.044444
1 8.439444
18.152778
18.2625
1 8.209722
18.008889
18.449167
17.714444
1 8.345278
-106.96389
-110.76528
-66.171667
-65.619444
-66.165556
-66.802778
-66.115
-65.829167
-66.854444
-67.146389
-66.627778
-66.053056
-64.785278
-64.923333
(N. B.: State abbreviations PR and VI refer to Puerto Rico and the Virgin Islands, respectively.)
A24
-------
Table A2. FRM Geographic Information for 2005
AQSJD
010030010
010270001
010331002
010491003
010530002
010550010
010690003
010730023
010730023
010731005
010731009
010731009
010731010
010732003
010732003
010732006
010732006
010735002
010735002
010735003
010890014
010970002
010970003
010972005
011010007
011030011
011130001
011170006
011190002
011210002
011250004
011270002
020200018
020900010
021100004
021 700008
022320002
040031005
040051008
040070008
040130019
040131003
040134003
040137020
040139997
040190011
040191028
04021 0001
04021 0001
FRM_Method
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
State
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AK
AK
AK
AK
AK
AZ
AZ
AZ
AZ
AZ
AZ
AZ
AZ
AZ
AZ
AZ
AZ
County
Baldwin
Clay
Colbert
De Kalb
Escambia
Etowah
Houston
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Madison
Mobile
Mobile
Mobile
Montgomery
Morgan
Russell
Shelby
Sumter
Talladega
Tuscaloosa
Walker
Anchorage
Fairbanks North Star
Juneau
Matanuska-Susitna
Skagway-Hoonah-Angoon
Cochise
Coconino
Gila
Maricopa
Maricopa
Maricopa
Maricopa
Maricopa
Pima
Pima
Pinal
Pinal
Latitude
30.497778
33.281111
34.760556
34.2875
31.106389
33.99361 1
31 .226207
33.553056
33.553056
33.331111
33.459722
33.459722
33.545278
33.499722
33.499722
33.386389
33.386389
33.704722
33.704722
33.801667
34.68767
30.7663
30.769722
30.474444
32.425833
34.51861
32.476389
33.312778
32.363889
33.279444
33.18903
33.832778
61 .206667
64.841 1 1 1
58.388889
61 .5341 63
59.46008
31 .348759
35.205988
34.22934
33.48385
33.41045
33.40316
33.488166
33.503643
32.32255
32.29515
32.87861 1
32.87861 1
Longitude
-87.881389
-85.802222
-87.650556
-85.968333
-87.071111
-85.991111
-85.390818
-86.815
-86.815
-87.00361 1
-87.305556
-87.305556
-86.549167
-86.924167
-86.924167
-86.816667
-86.816667
-86.669167
-86.669167
-86.9425
-86.58637
-88.0757
-88.0875
-88.141111
-86.285278
-86.976944
-84.9991 67
-86.821111
-88.201944
-86.349444
-87.484206
-87.2725
-149.82083
-147.72
-134.56556
-149.03166
-135.31053
-109.53861
-1 1 1 .6528
-1 1 1 .32942
-112.14257
-1 1 1 .86507
-112.07533
-1 1 1 .85493
-112.095
-1 1 1 .0377
-110.9823
-111.75167
-111.75167
A25
-------
04021 3002
04021 3002
040230004
050010011
050030005
050350005
050450002
05051 0003
050930007
051 070001
051130002
051150003
051190007
051191004
051191005
051 31 0008
051 390006
051 450001
06001 0007
060011001
060070002
060090001
060111002
060130002
060190008
060195001
060195025
060231002
060250005
060250007
060251003
060271003
060290010
06029001 1
06029001 1
060290014
060290015
060290016
06031 0004
060333001
060370002
060371002
060371103
060371201
060371301
060371601
060371602
060372005
060374002
060374004
060379033
060450006
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
AZ
AZ
AZ
AR
AR
AR
AR
AR
AR
AR
AR
AR
AR
AR
AR
AR
AR
AR
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
Pinal
Pinal
Santa Cruz
Arkansas
Ashley
Crittenden
Faulkner
Garland
Mississippi
Phillips
Polk
Pope
Pulaski
Pulaski
Pulaski
Sebastian
Union
White
Alameda
Alameda
Butte
Calaveras
Colusa
Contra Costa
Fresno
Fresno
Fresno
Humboldt
Imperial
Imperial
Imperial
Inyo
Kern
Kern
Kern
Kern
Kern
Kern
Kings
Lake
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Mendocino
33.421944
33.421944
31 .337204
34.518392
33.139444
35.196667
35.090833
34.470732
35.929167
34.528889
34.585278
35.292222
34.7561 1 1
34.729167
34.676268
35.388333
33.215
35.24861 1
37.6875
37.5358
39.7575
38.201944
39.203056
37.936
36.781389
36.819167
36.727083
40.801666
32.6761 1 1
32.97835
32.791667
36.487778
35.385556
35.050556
35.050556
35.3561 1 1
35.623889
35.324722
36.101389
39.031389
34.1365
34.17605
34.06659
34.19925
33.92899
34.01407
34.01407
34.1326
33.82376
33.79236
34.671389
39.150556
-1 1 1 .5025
-1 1 1 .5025
-110.93672
-91 .558826
-91 .95
-90.191111
-92.401667
-93.064585
-89.900833
-90.585556
-94.2261 1 1
-93.139167
-92.275833
-92.243333
-92.337164
-94.411944
-92.668889
-91.715278
-121.7842
-121.9619
-121.84222
-120.68056
-122.01667
-122.0262
-119.77222
-119.71639
-119.73206
-124.16194
-115.48333
-115.53829
-115.56167
-117.87056
-119.01472
-118.14639
-118.14639
-119.04028
-117.67722
-118.99917
-119.56583
-122.92222
-117.92391
-118.31712
-118.22688
-118.53276
-118.21071
-118.06056
-118.06995
-118.1272
-118.18921
-118.17533
-118.13056
-123.205
A26
-------
060472510
06051 0001
060531003
060570005
060571001
060590007
060592022
06061 0006
060631006
060631009
060651003
060652002
060655001
060658001
060670006
060670010
060674001
06071 0025
06071 0306
06071 2002
06071 8001
06071 9004
060730001
060730003
060730006
060731002
060731007
060731010
060750005
060771002
060792002
060792006
060798001
060811001
06083001 1
060831008
060850005
060852003
060870007
060890004
060932001
060950004
060970003
060990005
061 01 0003
061 072002
061 072002
061 1 1 0007
061 1 1 0009
061 1 1 2002
061113001
061131003
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
Merced
Mono
Monterey
Nevada
Nevada
Orange
Orange
Placer
Plumas
Plumas
Riverside
Riverside
Riverside
Riverside
Sacramento
Sacramento
Sacramento
San Bernardino
San Bernardino
San Bernardino
San Bernardino
San Bernardino
San Diego
San Diego
San Diego
San Diego
San Diego
San Diego
San Francisco
San Joaquin
San Luis Obispo
San Luis Obispo
San Luis Obispo
San Mateo
Santa Barbara
Santa Barbara
Santa Clara
Santa Clara
Santa Cruz
Shasta
Siskiyou
Solano
Sonoma
Stanislaus
Sutler
Tulare
Tulare
Ventura
Ventura
Ventura
Ventura
Yolo
37.309167
37.648056
36.69683
39.234444
39.33861 1
33.83062
33.63003
38.745833
39.937222
39.808333
33.94603
33.70853
33.85275
33.99958
38.614167
38.558333
38.555833
34.037222
34.51
34.10002
34.264444
34.10688
32.622778
32.791389
32.828333
33.127778
32.708889
32.701389
37.766
37.950833
35.283889
35.256606
35.491389
37.4829
34.427776
34.9491 67
37.3485
37.3062
36.984
40.549722
41 .728333
38.1027
38.4435
37.641667
39.138889
36.332222
36.332222
34.21
34.40461 1
34.2775
34.255
38.661944
-120.48056
-118.97333
-121.63617
-121.05556
-120.17028
-117.93845
-117.67593
-121.26528
-120.93778
-120.47167
-117.40063
-116.21537
-116.54101
-117.41601
-121.36694
-121.49194
-121.45722
-117.69
-117.33056
-117.49201
-116.86444
-117.27411
-117.05611
-116.94167
-117.13333
-117.07417
-117.15278
-117.15278
-122.3991
-121.2675
-120.65417
-120.66889
-120.66806
-122.2034
-119.69028
-120.43667
-121.895
-1 21 .8489
-121.9883
-122.37917
-122.63444
-122.2382
-122.71
-120.99361
-121.6175
-119.29028
-119.29028
-118.86944
-118.81
-118.68472
-119.1425
-121.72778
A27
-------
08001 0006
080050005
080070001
080130003
080130012
080290004
08031 0002
08031 0023
080350004
080390001
080390001
08041 0008
080410011
08051 0005
08051 0007
080690009
080770017
080770017
081010012
081 070003
081130004
081 230006
081 230008
090010010
09001 1 1 23
09001 3005
09001 9003
090031003
090050005
090090018
090090026
090090027
090091123
090092008
0900921 23
090113002
1 0001 0002
1 0001 0003
100031003
100031007
100031012
1 00032004
100051002
110010041
110010042
110010043
1 2001 0023
1 2001 0024
120051004
1 20090007
120111002
120112004
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CT
CT
CT
CT
CT
CT
CT
CT
CT
CT
CT
CT
CT
DE
DE
DE
DE
DE
DE
DE
DC
DC
DC
FL
FL
FL
FL
FL
FL
Adams
Arapahoe
Archuleta
Boulder
Boulder
Delta
Denver
Denver
Douglas
Elbert
Elbert
El Paso
El Paso
Gunnison
Gunnison
Larimer
Mesa
Mesa
Pueblo
Routt
San Miguel
Weld
Weld
Fairfield
Fairfield
Fairfield
Fairfield
Hartford
Litchfield
New Haven
New Haven
New Haven
New Haven
New Haven
New Haven
New London
Kent
Kent
New Castle
New Castle
New Castle
New Castle
Sussex
District Of Columbia
District Of Columbia
District Of Columbia
Alachua
Alachua
Bay
Brevard
Broward
Broward
39.825739
39.604406
37.268056
40.165833
40.021104
38.739167
39.751185
39.778739
39.53448
39.231944
39.231944
38.898056
38.831389
38.9
38.900536
40.571236
39.063625
39.063625
38.263611
40.485278
37.9375
40.414722
40.209167
41.170833
41 .3991 67
41.1125
41.118333
41 .784722
41.821389
41 .293889
41.291111
41.301111
41.310833
41.331389
41 .550556
41.524167
38.984722
39.155
39.761111
39.551111
39.691944
39.739444
38.644444
38.897222
38.880833
38.918889
29.703333
29.658333
30.144167
28.053889
26.082778
26.217222
-104.93699
-105.01952
-107.02111
-105.10111
-105.26335
-108.07278
-1 04.98762
-1 04.95627
-105.07035
-1 04.63472
-1 04.63472
-104.76139
-104.82778
-106.9625
-106.96555
-105.08012
-108.56102
-108.56102
-104.61222
-106.83083
-107.81167
-104.70611
-1 04.82306
-73.194722
-73.443056
-73.407222
-73.336667
-72.631667
-73.297222
-72.901389
-72.894167
-72.902778
-72.916944
-72.919722
-73.04361 1
-72.076667
-75.555556
-75.518056
-75.491944
-75.730833
-75.761667
-75.558056
-75.613056
-76.952778
-77.0325
-77.0125
-82.391389
-82.408333
-85.614444
-80.62861 1
-80.237778
-80.127778
A28
-------
120113002
120170005
1 2031 0098
1 2031 0099
1 20330004
1 20330025
1 20330026
1 20570030
1 20573002
1 2071 0005
120730012
120814012
1 20830003
1 20860033
120861016
1 20866001
120951004
1 20952002
1 20990008
1 20990009
1 20992005
121030018
121031009
1 21 056006
121111002
121150013
121171002
1 21 275002
1 3021 0007
130210012
130510017
1 3051 0091
1 30590001
1 30590002
1 30630091
1 30670003
1 30670004
1 30890002
1 30892001
1 30950007
131150005
1 31 21 0032
1 31 21 0039
1 31 270006
1 31 350002
1 31 390003
1 31 530001
1 31 850003
1 31 850003
132150001
132150008
132150008
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
Broward
Citrus
Duval
Duval
Escambia
Escambia
Escambia
Hillsborough
Hillsborough
Lee
Leon
Manatee
Marion
Miami-Dade
Miami-Dade
Miami-Dade
Orange
Orange
Palm Beach
Palm Beach
Palm Beach
Pinellas
Pinellas
Polk
St Lucie
Sara so ta
Seminole
Volusia
Bibb
Bibb
Chatham
Chatham
Clarke
Clarke
Clayton
Cobb
Cobb
De Kalb
De Kalb
Dougherty
Floyd
Fulton
Fulton
Glynn
Gwinnett
Hall
Houston
Lowndes
Lowndes
Muscogee
Muscogee
Muscogee
26.000833
28.980556
30.135556
30.355833
30.525
30.437
30.55
27.931944
27.96565
26.602778
30.439722
27.480556
29.170278
25.94167
25.794167
25.471389
28.550833
28.599444
26.724444
26.731
26.457778
27.785556
27.985945
28.029167
27.448889
27.290556
28.745556
29.206667
32.777231
32.805244
32.092778
32.11058
33.945833
33.917925
33.609722
34.01 5346
33.899182
33.688007
33.901251
31.576917
34.2631 98
33.819424
33.802189
31.16953
33.963074
34.300342
32.6056
30.848056
30.848056
32.483543
32.521099
32.521099
-80.160556
-82.7
-81.634167
-81 .548056
-87.204167
-87.256
-87.376
-82.509722
-82.2304
-81 .878889
-84.348333
-82.618889
-82.100833
-80.32639
-80.2061 1 1
-80.483333
-81 .345556
-81 .363056
-80.666667
-80.234
-80.093057
-82.74
-82.782231
-81 .972222
-80.40833
-82.5075
-81 .31
-81 .053056
-83.641242
-83.543628
-81.144167
-81.162024
-83.372222
-83.344512
-84.391 1 1 1
-84.607484
-84.661589
-84.290325
-84.279989
-84.100194
-85.304826
-84.389791
-84.435658
-81 .496046
-84.0691 93
-83.8139
-83.597907
-83.294444
-83.294444
-84.980977
-84.944695
-84.944695
A29
-------
132150011
1 32230003
1 32450005
1 32450091
1 32950002
1 33030001
1 33030001
133190001
150030010
150031001
150031004
1 50032004
1 50090006
160010011
160050015
160050018
160090010
160090011
160190013
1 6021 0002
1 60270004
1 60270008
1 6041 0001
1 6041 0002
1 60450001
1 60490003
1 60590004
160770011
160790017
1 7001 0006
170190004
170191001
1 7031 0022
1 7031 0050
1 7031 0052
1 7031 0057
1 7031 0076
170311016
1 7031 2001
1 7031 31 03
1 7031 3301
1 7031 4007
1 7031 4201
1 7031 6005
1 70434002
1 70650002
170831001
1 70890003
1 70890007
170971007
1 70990007
171110001
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
GA
GA
GA
GA
GA
GA
GA
GA
HI
HI
HI
HI
HI
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
Muscogee
Paulding
Richmond
Richmond
Walker
Washington
Washington
Wilkinson
Honolulu
Honolulu
Honolulu
Honolulu
Maul
Ada
Bannock
Bannock
Benewah
Benewah
Bonneville
Boundary
Canyon
Canyon
Franklin
Franklin
Gem
Idaho
Lemhi
Power
Shoshone
Adams
Champaign
Champaign
Cook
Cook
Cook
Cook
Cook
Cook
Cook
Cook
Cook
Cook
Cook
Cook
Du Page
Hamilton
Jersey
Kane
Kane
Lake
La Salle
Me Henry
32.430944
33.92855
33.469018
33.433883
34.966557
32.974722
32.974722
32.881667
21.329167
21.310278
21.305
21 .396667
20.780997
43.6361 1 1
42.876725
42.796463
47.316667
47.338702
43.518267
48.70555
43.562401
43.787147
42.013333
42.082222
43.856442
46.2094
45.170556
42.9125
47.536389
39.935025
40.125657
40.054198
41 .6891 95
41 .709561
41 .967429
41 .91 4733
41.751369
41.801111
41 .663997
41 .965278
41 .782778
42.060278
42.14
41 .864257
41.771195
38.083942
39.110312
42.050278
41 .786586
42.467535
41 .2931 25
42.221421
-84.931818
-85.04548
-81.991581
-82.022414
-85.297229
-82.808889
-82.808889
-83.333889
-158.09333
-157.85806
-157.87333
-157.97167
-156.44637
-116.27028
-112.46035
-112.25812
-116.57028
-116.88461
-112.02071
-116.36897
-116.56323
-116.95958
-111.80917
-111.86417
-116.51546
-116.0275
-113.89222
-112.53556
-116.23667
-91 .404232
-88.229532
-88.372552
-87.539318
-87.568576
-87.749819
-87.722725
-87.713745
-87.831944
-87.696468
-87.876389
-87.805278
-87.863333
-87.799167
-87.74888
-88.152502
-88.624942
-90.324168
-88.280278
-88.329376
-87.810024
-89.049242
-88.2421
A30
-------
171132003
171150013
171190023
171191007
171192009
171193007
1 71 430037
1 71 570001
1 71 61 3002
171630010
1 71 634001
171670012
171971002
171971011
172010013
1 80030004
180030014
180190006
1 80350006
1 80372001
1 80390003
180431004
1 80650003
1 80670003
1 80830004
1 80890006
1 80890022
1 80890026
1 80890027
1 80890031
180891003
1 80892004
180892010
180910011
180910012
1 80950009
1 80970042
1 80970043
1 80970066
1 80970078
1 80970079
1 80970081
1 80970083
1 81 270020
1 81 270024
181410014
181411008
1 81 41 2004
1 81 470009
1 81 570008
1 81 630006
181630012
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
Me Lean
Macon
Madison
Madison
Madison
Madison
Peoria
Randolph
Rock Island
St Clair
St Clair
Sangamon
Will
Will
Winnebago
Allen
Allen
Clark
Delaware
Dubois
Elkhart
Floyd
Henry
Howard
Knox
Lake
Lake
Lake
Lake
Lake
Lake
Lake
Lake
La Porte
La Porte
Madison
Marion
Marion
Marion
Marion
Marion
Marion
Marion
Porter
Porter
St Joseph
St Joseph
St Joseph
Spencer
Tippe canoe
Vanderburgh
Vanderburgh
40.520584
39.866944
38.69948
38.704444
38.902778
38.860645
40.698886
38.178
41 .51 4722
38.612222
38.529444
39.833792
41 .526667
41.221592
42.265109
41 .094722
41 .050556
38.277675
40.201111
38.391389
41 .667778
38.308056
40.011667
40.485556
38.740833
41 .6361 1 1
41 .606667
41 .573056
41 .546667
41 .598505
41 .588889
41 .585278
41 .678333
41 .706944
41 .602222
40.111944
39.646254
39.744957
39.760437
39.811097
39.89361 1
39.788903
39.774944
41.631389
41.6175
41 .663333
41.693611
41 .694444
38.1675
40.431639
37.971667
38.021667
-88.996898
-88.925556
-90.143433
-90.139444
-90.143056
-90.105754
-89.584741
-89.788455
-90.517222
-90.160278
-89.993056
-89.644167
-88.116389
-88.190948
-89.092776
-85.101944
-85.149722
-85.740153
-85.388056
-86.929167
-85.969444
-85.834167
-85.52361 1
-86.132778
-87.484722
-87.440833
-87.304722
-87.405833
-87.426389
-87.342991
-87.407778
-87.474444
-87.508333
-86.891111
-86.730278
-85.68
-86.248784
-86.166496
-86.108848
-86.114469
-86.040556
-86.214628
-86.122053
-87.086944
-87.199167
-86.207778
-86.236667
-86.2875
-86.983333
-86.8525
-87.567222
-87.569444
A31
-------
181630016
181670018
1 81 670023
190130008
1 90450021
1 91 032001
191130037
1 91 370002
191390015
191471002
1 91 530030
191532510
1 91 532520
1 91 550009
1 91 550009
191630015
191630018
191630019
1 91 770006
191930017
1 91 970004
20091 0007
20091 0009
200910010
201 070002
201 730008
201 730009
201730010
201770010
201770011
201 91 0002
202090021
202090022
210130002
210190017
210290006
210370003
210430500
210470006
210590005
210610501
210670012
210670014
210730006
210930006
211010014
211110043
211110044
211110048
211110051
211170007
211250004
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
IN
IN
IN
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
KS
KS
KS
KS
KS
KS
KS
KS
KS
KS
KS
KS
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
Vanderburgh
Vigo
Vigo
Black Hawk
Clinton
Johnson
Linn
Montgomery
Muscatine
Palo Alto
Polk
Polk
Polk
Pottawattamie
Pottawattamie
Scott
Scott
Scott
Van Buren
Woodbury
Wright
Johnson
Johnson
Johnson
Linn
Sedgwick
Sedgwick
Sedgwick
Shawnee
Shawnee
Sumner
Wyandotte
Wyandotte
Bell
Boyd
Bullitt
Campbell
Carter
Christian
Daviess
Edmonson
Fayette
Fayette
Franklin
Hardin
Henderson
Jefferson
Jefferson
Jefferson
Jefferson
Kenton
Laurel
37.974444
39.4861 1 1
39.4561 1 1
42.493056
41 .874972
41 .657361
42.008333
40.971211
41 .400833
43.123333
41.603132
41 .603479
41 .664722
41.264167
41 .2641 67
41.53
41.55
41 .51 7778
40.695078
42.517222
42.695387
38.974444
38.863056
38.83859
38.135833
37.659722
37.651111
37.701111
39.04
39.021389
37.476944
39.1175
39.045833
36.608056
38.459167
37.985556
39.065556
38.238333
36.911667
37.780833
37.131389
38.065
38.038889
38.219361
37.706389
37.871389
38.233222
38.190833
38.240556
38.060833
39.0725
37.087222
-87.532222
-87.401389
-87.370556
-92.343889
-90.177444
-91 .503472
-91 .67861 1
-95.043868
-91 .067778
-94.693333
-93.643234
-93.747821
-93.614167
-95.895833
-95.895833
-90.5875
-90.6
-90.618611
-92.006318
-96.386389
-93.655982
-94.686944
-94.768889
-94.74643
-94.731944
-97.297222
-97.362222
-97.313889
-95.691667
-95.748333
-97.366389
-94.635556
-94.694444
-83.736944
-82.640556
-85.713056
-84.451944
-82.988333
-87.32361 1
-87.075556
-86.148056
-84.5
-84.5075
-84.8385
-85.851667
-87.463333
-85.825278
-85.780556
-85.731667
-85.8961 1 1
-84.525
-84.063333
A32
-------
211451004
211510003
211830032
211930003
211950002
212270007
220171002
220190009
220190010
220290003
220330009
220331001
220470005
220470009
220511001
220511001
22051 2001
22051 2001
22051 81 05
22051 81 06
22051 81 07
220550005
220550006
220710010
220710010
220710012
220710012
22071 81 05
22071 81 06
22071 81 09
220718110
22071 8401
220730004
220758400
220790002
220870004
220870004
2208781 03
220890005
221 038400
221 038401
221 050001
221 090001
221210001
230010011
230030013
230031011
230050015
230050027
2300901 03
230110016
230112002
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
KY
KY
KY
KY
KY
KY
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
ME
ME
ME
ME
ME
ME
ME
ME
McCracken
Madison
Ohio
Perry
Pike
Warren
Caddo
Calcasieu
Calcasieu
Concordia
East Baton Rouge
East Baton Rouge
Iberville
Iberville
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Lafayette
Lafayette
Orleans
Orleans
Orleans
Orleans
Orleans
Orleans
Orleans
Orleans
Orleans
Ouachita
Plaquemines
Rapides
St Bernard
St Bernard
St Bernard
St Charles
St Tammany
St Tammany
Tangipahoa
Terrebonne
West Baton Rouge
Androscoggin
Aroostook
Aroostook
Cumberland
Cumberland
Hancock
Kennebec
Kennebec
37.065556
37.738056
37.319725
37.283056
37.482778
36.993333
32.478333
30.227778
30.177143
31 .574236
30.461111
30.587222
30.217778
30.220556
30.043333
30.043333
29.883056
29.883056
30.020892
29.999264
29.9198
30.2175
30.274833
29.9555
29.9555
29.994444
29.994444
30.016905
30.032329
30.16635
30.0655
29.96249
32.509713
29.88546
31.177638
29.941667
29.941667
29.971443
29.933056
30.31445
30.26588
30.503056
29.678883
30.501944
44.089444
47.355
46.682222
43.678056
43.661944
44.37705
44.31 2222
44.5491 67
-88.637778
-84.285556
-86.956097
-83.220278
-82.535278
-86.418333
-93.765833
-93.578333
-93.214514
-91 .455236
-91.176944
-91 .206944
-91 .060556
-91.316111
-90.275
-90.275
-90.083333
-90.083333
-90.123099
-90.211619
-90.231783
-92.051389
-92.0172
-90.12166
-90.12166
-90.102778
-90.102778
-89.927185
-90.045465
-89.737333
-89.804767
-90.05689
-92.046093
-89.94952
-92.410611
-89.933333
-89.933333
-89.998605
-90.359444
-89.81415
-89.76997
-90.376944
-90.779967
-91 .209722
-70.215
-68.322778
-68.016111
-70.256667
-70.265833
-68.2609
-69.786389
-69.630833
A3 3
-------
230112006
230172011
230190002
240030014
240031003
240032002
240051007
240053001
240150003
240251001
24031 3001
240330030
240338003
240430009
245100006
245100007
245100008
245100035
245100040
245100049
250035001
250051004
250051004
250092006
250092006
250095005
250095005
250096001
250096001
250130008
250130008
250130016
250132009
250132009
250170009
250230004
250230004
250250002
250250002
250250027
250250027
250250042
250250042
250250043
250270016
250270016
250270023
250270023
260050003
260170014
260210014
260330901
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
ME
ME
ME
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
Ml
Ml
Ml
Ml
Kennebec
Oxford
Penobscot
Anne Arundel
Anne Arundel
Anne Arundel
Baltimore
Baltimore
Cecil
Harford
Montgomery
Prince Georges
Prince Georges
Washington
Baltimore City
Baltimore City
Baltimore City
Baltimore City
Baltimore City
Baltimore City
Berkshire
Bristol
Bristol
Essex
Essex
Essex
Essex
Essex
Essex
Hampden
Hampden
Hampden
Hampden
Hampden
Middlesex
Plymouth
Plymouth
Suffolk
Suffolk
Suffolk
Suffolk
Suffolk
Suffolk
Suffolk
Worcester
Worcester
Worcester
Worcester
Allegan
Bay
Berrien
Chippewa
44.56817
44.550833
44.798849
38.9025
39.169533
39.159722
39.460833
39.310833
39.701111
39.41
39.114444
39.055277
38.81194
39.565556
39.340556
39.344444
39.28768
39.232778
39.298056
39.261667
42.451667
41 .6857
41 .6857
42.474444
42.474444
42.762778
42.762778
42.69861 1
42.69861 1
42.19446
42.19446
42.108889
42.106
42.106
42.62668
42.079722
42.079722
42.348933
42.348933
42.372928
42.372928
42.329444
42.329444
42.362778
42.259167
42.259167
42.265802
42.265802
42.767778
43.571389
42.197778
46.49361 1
-69.62083
-70.548333
-68.769745
-76.653056
-76.627933
-76.511667
-76.631111
-76.474444
-75.86
-76.296667
-77.106944
-76.878333
-76.74417
-77.721944
-76.582222
-76.685278
-76.547616
-76.579722
-76.604722
-76.6375
-73.255
-71.1698
-71.1698
-70.9725
-70.9725
-71.105833
-71.105833
-71.165833
-71.165833
-72.55571 1
-72.55571 1
-72.591389
-72.597585
-72.597585
-71 .362068
-71.015278
-71.015278
-71 .097733
-71 .097733
-71.063311
-71.063311
-71 .082778
-71 .082778
-71.054167
-71.799167
-71.799167
-71 .794835
-71 .794835
-86.148611
-83.890833
-86.309722
-84.364167
A34
-------
260330902
260330903
260430002
260490021
260650012
26071 0001
260770008
26081 0020
260990009
261130001
261150005
261 21 0040
261 250001
261 390005
261450018
261 470005
261 61 0005
261 61 0008
261 630001
261630015
261630016
261630019
261 630025
261 630033
261 630036
261 630038
261 630039
27021 0001
270370470
270530050
270530961
270530963
270530965
270530968
270531007
270532006
270953051
271 095008
271 230866
271 230868
271 230871
271 377001
271 377550
271 377551
271 390505
271 453052
28001 0004
280110001
280330002
280350004
280450001
280450002
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MS
MS
MS
MS
MS
MS
Chippewa
Chippewa
Dickinson
Genesee
Ingham
Iron
Kalamazoo
Kent
Macomb
Missaukee
Monroe
Muskegon
Oakland
Ottawa
Saginaw
St Clair
Washtenaw
Washtenaw
Wayne
Wayne
Wayne
Wayne
Wayne
Wayne
Wayne
Wayne
Wayne
Cass
Dakota
Hennepin
Hennepin
Hennepin
Hennepin
Hennepin
Hennepin
Hennepin
Mille Lacs
Olmsted
Ramsey
Ramsey
Ramsey
St Louis
St Louis
St Louis
Scott
Stearns
Adams
Bolivar
De Soto
Forrest
Hancock
Hancock
46.481667
46.454
46.139444
43.04722
42.73861 1
46.159883
42.278056
42.984167
42.731389
44.31 0556
41 .763889
43.233056
42.463056
42.894444
43.508333
42.953333
42.293889
42.240556
42.22861 1
42.302778
42.3578
42.430833
42.423055
42.306666
42.18728
42.335
42.323333
47.159942
44.740751
45.001229
44.87753
44.955396
45.004478
44.893005
45.041815
44.950047
46.207026
43.996908
44.899379
44.952442
44.961451
47.523355
46.820199
46.766667
44.791 437
45.549839
31 .560389
33.746056
34.82166
31 .323639
30.230167
30.38
-84.331667
-84.6067
-87.907222
-83.670278
-84.534722
-88.119627
-85.541944
-85.671389
-82.79361 1
-84.891944
-83.471944
-86.23861 1
-83.183333
-85.852778
-83.968056
-82.456389
-83.711111
-83.599722
-83.208333
-83.106667
-83.09617
-83.000278
-83.426389
-83.148889
-83.15404
-83.1097
-83.06861 1
-94.150987
-93.237293
-93.267117
-93.25882
-93.25827
-93.240046
-93.233227
-93.298729
-93.342874
-93.75941 1
-92.450366
-93.017155
-93.098475
-93.035894
-92.536305
-92.08941
-92.133056
-93.512534
-94.13345
-91 .39025
-90.723028
-89.98783
-89.287167
-89.567444
-89.448333
A3 5
-------
280450003
2804581 04
2804581 05
280458201
280470008
280470008
280470008
2804781 01
2804781 02
2804781 03
280490010
280490018
280590006
280590006
280590006
280670002
280750003
28081 0005
280870001
281 090001
281210001
281 230001
281 490004
290190004
29021 0005
290370003
290390001
290470005
290770032
290950010
290950034
290990012
291 370001
291831002
291 860006
291 890004
291 892003
295100007
295100085
295100086
295100087
300131026
300290009
300290047
30031 0006
30031 0008
300310013
300470013
300470028
300490018
300490019
300530018
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MT
MT
MT
MT
MT
MT
MT
MT
MT
MT
MT
Hancock
Hancock
Hancock
Hancock
Harrison
Harrison
Harrison
Harrison
Harrison
Harrison
Hinds
Hinds
Jackson
Jackson
Jackson
Jones
Lauderdale
Lee
Lowndes
Pearl River
Rankin
Scott
Warren
Boone
Buchanan
Cass
Cedar
Clay
Greene
Jackson
Jackson
Jefferson
Monroe
St Charles
Ste Genevieve
St Louis
St Louis
St Louis City
St Louis City
St Louis City
St Louis City
Cascade
Flathead
Flathead
Gallatin
Gallatin
Gallatin
Lake
Lake
Lewis And Clark
Lewis And Clark
Lincoln
30.300833
30.26892
30.40966
30.393193
30.390139
30.390139
30.390139
30.373678
30.449005
30.470916
32.385583
32.296806
30.378194
30.378194
30.378194
31 .688444
32.364389
34.26491 7
33.490972
30.5295
32.275528
32.32
32.322833
38.956389
39.741667
38.770278
37.695833
39.303056
37.205278
39.036
39.104722
38.437778
39.473056
38.8725
37.967222
38.5325
38.649722
38.5425
38.6563
38.672222
38.642444
47.502222
48.399722
48.2025
45.726314
45.772778
44.657778
47.526944
47.692222
46.603889
46.954475
48.384167
-89.395916
-89.44933
-89.44114
-89.580378
-89.049722
-89.049722
-89.049722
-89.15513
-89.052683
-88.9827
-90.140917
-90.188306
-88.533944
-88.533944
-88.533944
-89.135056
-88.731444
-88.766222
-88.418528
-89.691056
-90.132528
-89.666667
-90.8871 1 1
-92.321667
-94.858333
-94.58
-94.0375
-94.376389
-93.283333
-94.5741
-94.570556
-90.361389
-91.789167
-90.226389
-90.051111
-90.382778
-90.350556
-90.26361 1
-90.1981
-90.238889
-90.185583
-1 1 1 .27889
-114.33361
-114.30556
-1 1 1 .0673
-111.1775
-1 1 1 .09083
-114.10056
-114.16222
-112.03528
-112.69674
-115.54806
A3 6
-------
300630021
300630031
30081 0001
30081 0007
300870307
300890007
300930005
301111065
310250002
310550019
310550052
310790004
311090022
311111002
311530007
311570003
311770002
320030022
320030298
320030561
320031019
320032002
320310016
33001 2004
330050007
330070014
330090010
330110020
330111015
330111015
330115001
330131006
330150014
330190003
340011006
340030003
340070003
340070003
340071007
340130015
340155001
340171003
340171003
340172002
34021 0008
34021 8001
340230006
340270004
340273001
340292002
34031 0005
340390004
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
MT
MT
MT
MT
MT
MT
MT
MT
NE
NE
NE
NE
NE
NE
NE
NE
NE
NV
NV
NV
NV
NV
NV
NH
NH
NH
NH
NH
NH
NH
NH
NH
NH
NH
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
Missoula
Missoula
Ravalli
Ravalli
Rosebud
Sanders
Silver Bow
Yellowstone
Cass
Douglas
Douglas
Hall
Lancaster
Lincoln
Sarpy
Scotts Bluff
Washington
Clark
Clark
Clark
Clark
Clark
Washoe
Belknap
Cheshire
Coos
Grafton
Hillsborough
Hillsborough
Hillsborough
Hillsborough
Merrimack
Rockingham
Sullivan
Atlantic
Bergen
Camden
Camden
Camden
Essex
Gloucester
Hudson
Hudson
Hudson
Mercer
Mercer
Middlesex
Morris
Morris
Ocean
Passaic
Union
47.1771
46.874912
46.244444
46.245633
45.623333
47.596389
46.0025
45.801944
40.865556
41 .247222
41 .333056
40.942099
40.81259
41.136111
41.133613
41 .865
41.551136
36.390775
36.052222
36.163994
35.785634
36.191111
39.525083
43.565278
42.930556
44.471 1 1 1
43.62957
43.000556
42.76186
42.76186
42.861901
43.132444
43.075278
43.364444
39.362641
40.851667
39.92304
39.92304
39.98888
40.731944
39.825833
40.72545
40.72545
40.773056
40.222222
40.3124
40.47279
40.803056
40.78763
39.995
40.918611
40.64144
-113.4827
-113.99525
-114.15722
-114.15886
-106.66806
-115.32361
-112.5
-108.42611
-96.146667
-95.975556
-96.099722
-98.364967
-96.68302
-100.76444
-95.955835
-103.66444
-96.146753
-114.90681
-115.05694
-115.11393
-115.35706
-115.12222
-119.80772
-71 .495833
-72.277778
-71.166667
-72.226083
-71 .468056
-71 .44455
-71 .44455
-71.878613
-71 .45827
-70.748056
-72.338333
-74.429345
-73.973333
-75.09762
-75.09762
-75.049167
-74.205278
-75.289444
-74.05229
-74.05229
-74.031944
-74.76361 1
-74.8726
-74.42251
-74.483333
-74.6763
-74.165833
-74.167778
-74.20836
A3 7
-------
340390004
340390006
340392003
34041 0006
35001 0023
35001 0024
350050005
350130017
350130025
350171002
350250007
350250008
350431003
350439004
35043901 1
350450006
350490020
36001 0005
360050080
360050083
360050110
360130011
360290005
360291007
36031 0003
3604701 22
360551007
360590008
36061 0056
36061 0062
36061 0079
36061 01 28
360632008
360671015
36071 0002
36081 01 24
360850055
360850067
360893001
361 01 0003
361 030001
361191002
37001 0002
37021 0034
370330001
370350004
370350006
370370004
37051 0009
370570002
370570003
370570004
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
NJ
NJ
NJ
NJ
NM
NM
NM
NM
NM
NM
NM
NM
NM
NM
NM
NM
NM
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
Union
Union
Union
Warren
Bernalillo
Bernalillo
Chaves
Dona Ana
Dona Ana
Grant
Lea
Lea
Sandoval
Sandoval
Sandoval
San Juan
Santa Fe
Albany
Bronx
Bronx
Bronx
Chautauqua
Erie
Erie
Essex
Kings
Monroe
Nassau
New York
New York
New York
New York
Niagara
Onondaga
Orange
Queens
Richmond
Richmond
St Lawrence
Steuben
Suffolk
Westchester
Alamance
Buncombe
Caswell
Catawba
Catawba
Chatham
Cumberland
Davidson
Davidson
Davidson
40.641 44
40.673056
40.60607
40.687222
35.13426
35.0631
33.396944
31 .795833
32.321944
32.784444
32.724722
32.726656
35.238056
35.615278
35.5064
36.7275
35.671111
42.6424
40.83608
40.86586
40.81616
42.29073
42.87684
42.82728
44.39309
40.7198
43.146198
40.63102
40.75917
40.72052
40.79937
40.73003
43.08216
43.05238
41 .49947
40.7362
40.63302
40.59733
44.67778
42.09071
40.745833
40.93006
36.089004
35.609722
36.307033
35.728889
35.7278
35.757222
35.041416
35.814444
35.77881
35.84119
-74.20836
-74.213611
-74.27498
-75.181389
-106.58551
-106.57879
-104.52361
-106.5575
-106.76778
-108.27167
-103.12861
-103.12292
-106.64944
-106.72444
-106.7222
-108.22083
-105.95361
-73.75453
-73.92021
-73.88075
-73.90207
-79.58658
-78.80988
-78.84989
-73.85892
-73.94788
-77.54813
-73.73479
-73.96651
-74.00409
-73.93334
-73.98446
-79.00099
-76.0592
-74.00973
-73.82317
-74.13713
-74.12619
-74.94999
-77.21025
-73.420278
-73.76924
-79.407821
-82.350833
-79.467417
-81 .365556
-81 .3425
-79.159722
-78.953112
-80.2625
-80.30236
-80.24452
A3 8
-------
37061 0002
370630001
370650004
370670022
370670024
370670030
370710016
370810013
370870010
370990006
371 070004
371 1 1 0004
371170001
371190010
371190041
371190042
371210001
371 230001
371 290002
371 330005
371 350007
371 470005
371 550005
371 590021
371 730002
371830014
371 890003
371 91 0005
380070002
380130002
380130003
380150003
380171004
380530002
380570004
390090003
390170003
390170016
390170017
390171004
390230005
390250022
390350027
390350034
390350038
390350045
390350060
390350065
390351002
390490024
390490025
390490081
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
ND
ND
ND
ND
ND
ND
ND
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
Duplin
Durham
Edgecombe
Forsyth
Forsyth
Forsyth
Gaston
Guilford
Haywood
Jackson
Lenoir
Me Dowell
Martin
Mecklenburg
Mecklenburg
Mecklenburg
Mitchell
Montgomery
New Hanover
Onslow
Orange
Pitt
Robe son
Rowan
Swain
Wake
Watauga
Wayne
Billings
Burke
Burke
Burleigh
Cass
McKenzie
Mercer
Athens
Butler
Butler
Butler
Butler
Clark
Clermont
Cuyahoga
Cuyahoga
Cuyahoga
Cuyahoga
Cuyahoga
Cuyahoga
Cuyahoga
Franklin
Franklin
Franklin
34.954823
35.991944
35.93355
36.110556
36.171389
36.026
35.253056
36.109167
35.489167
35.466667
35.231459
35.687404
35.81069
35.225278
35.240278
35.151389
35.915278
35.26
34.364167
34.772828
35.901944
35.594167
34.6425
35.551868
35.435509
35.856111
36.221944
35.369214
46.8943
48.9904
48.876553
46.825425
46.933754
47.5812
47.29861 1
39.4425
39.49361 1
39.338333
39.525
39.53
39.928889
39.082319
41 .4775
41 .555
41 .476944
41.471667
41 .493955
41 .446389
41 .395556
39.998333
39.928056
40.087778
-77.960781
-78.896389
-77.75007
-80.226667
-80.281944
-80.342
-81.153333
-79.801111
-82.9875
-83.278056
-77.568792
-81 .993789
-76.89782
-80.882778
-80.785556
-80.866944
-82.073333
-79.84
-77.83861 1
-77.42796
-79.056667
-77.3861 1 1
-78.990278
-80.395039
-83.443697
-78.574167
-81 .663056
-77.993893
-103.37853
-102.7815
-102.56842
-100.76821
-96.85535
-103.2995
-101.76694
-81.908611
-84.353889
-84.566389
-84.369444
-84.3925
-83.809722
-84.144193
-81 .703056
-81 .575
-81.681944
-81 .657222
-81 .678542
-81.661944
-81.818056
-82.993056
-82.981111
-82.959722
A3 9
-------
390570005
39061 0006
390610014
39061 0040
39061 0041
39061 0042
39061 0043
39061 7001
39061 8001
390810017
390811001
390851001
390870010
390930016
390933002
390950024
390950025
390950026
390990005
390990014
391 030003
391130031
391130032
391 330002
391351001
391450013
391510017
391 51 0020
391530017
391 530023
391 550007
400159008
400190295
40021 9002
400470554
40071 0602
400719010
40081 9005
4009701 86
400979014
401010169
401 090035
401091037
401159004
401210415
401359015
401430110
401431127
410090004
410190002
410290133
410291001
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OR
OR
OR
OR
Greene
Hamilton
Hamilton
Hamilton
Hamilton
Hamilton
Hamilton
Hamilton
Hamilton
Jefferson
Jefferson
Lake
Lawrence
Lorain
Lorain
Lucas
Lucas
Lucas
Mahoning
Mahoning
Medina
Montgomery
Montgomery
Portage
Preble
Scioto
Stark
Stark
Summit
Summit
Trumbull
Caddo
Carter
Cherokee
Garfield
Kay
Kay
Lincoln
Mayes
Mayes
Muskogee
Oklahoma
Oklahoma
Ottawa
Pittsburg
Sequoyah
Tulsa
Tulsa
Columbia
Douglas
Jackson
Jackson
39.808056
39.278499
39.194167
39.128611
39.185967
39.105
39.290278
39.16
39.180278
40.366104
40.321944
41 .755
38.519722
41 .439444
41 .463056
41 .6441 67
41.661944
41 .620556
41.111111
41 .095868
41.102778
39.759444
39.760278
41.164167
39.835556
38.754167
40.786667
40.800556
41 .063333
41 .088056
41.214167
35.111944
34.166667
35.855
36.420278
36.705328
36.956731
35.6725
36.304624
36.2284
35.755273
35.47292
35.614131
36.922222
34.90227
35.58175
36.14004
36.204902
45.768056
43.22769
42.314078
42.5361 1 1
-83.886944
-84.365974
-84.478889
-84.504167
-84.513719
-84.551 1 1 1
-84.414444
-84.457778
-84.491944
-80.615002
-80.606389
-81 .273056
-82.665556
-82.161667
-82.114444
-83.546667
-83.479444
-83.641389
-80.645278
-80.658426
-81.911667
-84.144444
-84.187778
-81 .235
-84.720833
-82.9175
-81 .394444
-81 .373333
-81 .46861 1
-81.541667
-80.7875
-98.252778
-97.126389
-94.9861 1 1
-97.886944
-97.087656
-97.034369
-96.657222
-95.310616
-95.25
-95.377669
-97.52709
-97.475083
-94.838889
-95.784375
-94.829
-95.925382
-95.976537
-122.77194
-123.3644
-122.87924
-122.875
A40
-------
410294001
410330011
410350004
410390060
410391007
410391009
410392013
410430009
410510080
410510246
410610119
410650007
410670004
410670111
42001 0001
420030008
420030021
420030064
420030067
420030093
420030095
420030116
4200301 33
420031008
420031301
420033007
420039002
420070014
420110009
420170012
420210011
4202701 00
4202901 00
42041 01 01
420430401
420450002
420490003
420692006
42071 0007
420770004
420791101
4208501 00
420910013
420950025
420990301
421 01 0003
421 01 0004
421 01 0004
421 01 0020
421 01 0024
421 01 0024
421 01 0047
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
Jackson
Josephine
Klamath
Lane
Lane
Lane
Lane
Linn
Multnomah
Multnomah
Union
Wasco
Washington
Washington
Adams
Allegheny
Allegheny
Allegheny
Allegheny
Allegheny
Allegheny
Allegheny
Allegheny
Allegheny
Allegheny
Allegheny
Allegheny
Beaver
Berks
Bucks
Cambria
Centre
Chester
Cumberland
Dauphin
Delaware
Erie
Lackawanna
Lancaster
Lehigh
Luzerne
Mercer
Montgomery
Northampton
Perry
Philadelphia
Philadelphia
Philadelphia
Philadelphia
Philadelphia
Philadelphia
Philadelphia
42.426389
42.289722
42.188889
44.026312
43.833898
44.046696
43.744352
44.61 5648
45.496667
45.561301
45.338972
45.602399
45.52853
45.4702
39.92
40.465556
40.413611
40.32361 1
40.381944
40.607222
40.486944
40.47361 1
40.260129
40.618611
40.4025
40.294444
40.546944
40.747778
40.320278
40.107222
40.309722
40.811389
39.834444
40.246528
40.245
39.835556
42.14175
41 .442778
40.046667
40.611944
41 .265556
41.215
40.112222
40.628056
40.456944
39.944167
40.008889
40.008889
40.002222
40.076389
40.076389
39.944722
-122.85083
-123.2325
-121.7225
-123.08374
-123.03498
-123.0177
-122.48052
-123.0916
-122.60222
-122.67878
-117.9048
-121.20335
-122.97244
-122.81585
-77.31
-79.961111
-79.941389
-79.868333
-80.185556
-80.020833
-80.188056
-80.077222
-79.886498
-79.727222
-79.860278
-79.886667
-79.783889
-80.316667
-75.926667
-74.882222
-78.915
-77.877028
-75.76861 1
-77.18675
-76.844722
-75.3725
-80.03861 1
-75.623056
-76.283333
-75.4325
-75.846389
-80.485
-75.309167
-75.341 1 1 1
-77.165556
-75.166111
-75.097778
-75.097778
-75.220278
-75.011944
-75.011944
-75.166111
A41
-------
421010136
421010136
421 250005
421 250200
421 255001
421 290008
421 330008
440030002
440070022
440070026
440070028
440071010
450030003
450130007
450190048
450190049
450250001
450370001
45041 0002
450430009
450450008
450450009
45045001 1
450450012
450450013
450450014
450470003
45051 0002
450630008
450730001
450790007
450790019
450830010
460110002
460130003
460290002
4603301 32
46071 0001
460990006
460990007
461030016
461 030020
461031001
47009001 1
470370023
470370025
470370036
470450004
470650031
470651011
470654002
470930028
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
PA
PA
PA
PA
PA
PA
PA
Rl
Rl
Rl
Rl
Rl
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
TN
TN
TN
TN
TN
TN
TN
TN
TN
Philadelphia
Philadelphia
Washington
Washington
Washington
Westmoreland
York
Kent
Providence
Providence
Providence
Providence
Aiken
Beaufort
Charleston
Charleston
Chesterfield
Edgefield
Florence
Georgetown
Greenville
Greenville
Greenville
Greenville
Greenville
Greenville
Greenwood
Horry
Lexington
Oconee
Richland
Richland
Spartanburg
Brookings
Brown
Codington
Custer
Jackson
Minnehaha
Minnehaha
Pennington
Pennington
Pennington
Blount
Davidson
Davidson
Davidson
Dyer
Hamilton
Hamilton
Hamilton
Knox
39.9275
39.9275
40.146667
40.170556
40.445278
40.304694
39.965278
41.6156
41 .807949
41 .874655
41 .80933
41 .84092
33.342226
32.436539
32.980254
32.790984
34.615367
33.741693
34.167636
33.373994
34.838814
34.901046
34.88451 1
34.817197
34.854799
34.843991
34.21 4556
33.702771
34.052805
34.805261
34.093959
33.993299
34.926839
44.31 0283
45.4625
44.89965
43.5578
43.74561
43.544289
43.537626
44.064932
44.087397
44.080295
35.768333
36.176326
36.1
36.118251
36.052778
34.990944
35.233527
35.050928
35.94361 1
-75.222778
-75.222778
-79.902222
-80.261389
-80.420833
-79.505667
-76.699444
-71.7199
-71.415
-71 .379944
-71 .40743
-71 .36094
-81.788731
-80.677854
-80.06501
-79.958694
-80.198787
-81 .853633
-79.850404
-79.285697
-82.402914
-82.31307
-82.359807
-82.418487
-82.380631
-82.401159
-82.173146
-78.877478
-81.15495
-83.2377
-80.962304
-81.024141
-82.00521
-96.80071
-98.4861 1 1
-97.128802
-103.4839
-101.94122
-96.726435
-96.682001
-103.20914
-103.27378
-103.22855
-83.942222
-86.738902
-86.734444
-86.873547
-89.381944
-85.22875
-85.181806
-85.292975
-84.038889
A42
-------
470931017
470931020
470990002
471 0501 08
471071002
471130006
471192007
471251009
471251010
471 41 0001
471 450004
471570014
471 570038
471 570047
471 570047
471571004
471631007
471 650007
480370004
480430002
4804301 01
48061 2002
48061 2004
481130035
481130050
481130057
481130069
481130087
481133004
481 350003
481390015
481390016
481 41 0037
481 41 0044
481 41 0053
481 41 0055
481670014
481 830001
48201 0024
48201 0026
48201 0055
48201 0058
482011034
482011035
482030002
482150042
482150043
482430004
482450021
482450022
482570005
482730314
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
Knox
Knox
Lawrence
Loudon
McMinn
Madison
Maury
Montgomery
Montgomery
Putnam
Roane
Shelby
Shelby
Shelby
Shelby
Shelby
Sullivan
Sumner
Bowie
Brewster
Brewster
Cameron
Cameron
Dallas
Dallas
Dallas
Dallas
Dallas
Dallas
Ector
Ellis
Ellis
El Paso
El Paso
El Paso
El Paso
Galveston
Gregg
Harris
Harris
Harris
Harris
Harris
Harris
Harrison
Hidalgo
Hidalgo
Jeff Davis
Jefferson
Jefferson
Kaufman
Kleberg
35.975
36.01944
35.116111
35.7447
35.451111
35.653651
35.64361 1
36.514444
36.625
36.173611
35.9386
35.085833
35.184167
35.16895
35.16895
35.377222
36.540654
36.297778
33.425757
30.3658
29.3025
26.135172
26.073333
32.916667
32.774167
32.7789
32.819952
32.6766
32.7106
31 .826578
32.436944
32.481944
31 .768274
31 .765673
31.758516
31 .746752
29.263319
32.37871
29.901111
29.8025
29.695736
29.770686
29.767993
29.733713
32.669003
26.309858
26.226238
30.66938
29.922778
29.863951
32.569167
27.42694
-83.954444
-83.87361
-87.47
-84.3174
-84.599167
-88.809084
-87.013056
-87.327778
-87.169167
-85.509444
-84.5438
-89.949444
-89.930278
-90.021567
-90.021567
-89.832222
-82.521667
-86.652778
-94.070807
-103.6491
-103.16782
-97.630039
-97.166667
-96.76861 1
-96.797778
-96.873056
-96.860082
-96.8716
-96.8033
-102.34198
-97.025
-97.0275
-106.5012
-106.45523
-106.50105
-106.40281
-94.856568
-94.711833
-95.326944
-95.12555
-95.499236
-95.031215
-95.220576
-95.257591
-94.167449
-98.183101
-98.291064
-1 04.02463
-93.908889
-94.317757
-96.315833
-97.29861
A43
-------
483030001
483390078
483550032
483550034
483611001
48361 1 1 00
483750005
483750320
484391002
484391006
484393006
484530020
490030003
490037001
490050004
490050005
490050006
490110004
490350003
490350012
490351001
490353006
490353007
490353007
490353008
490450003
490490002
490494001
490495008
490495010
490570002
490570007
490571003
50001 0002
50001 0003
500030004
500070012
500070012
500070014
50021 0002
510130020
510360002
510410003
510590030
510591005
510595001
510870014
510870015
511071005
511390004
515200006
516500004
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
VT
VT
VT
VT
VT
VT
VT
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
Lubbock
Montgomery
Nueces
Nueces
Orange
Orange
Potter
Potter
Tarrant
Tarrant
Tarrant
Travis
Box Elder
Box Elder
Cache
Cache
Cache
Davis
Salt Lake
Salt Lake
Salt Lake
Salt Lake
Salt Lake
Salt Lake
Salt Lake
Tooele
Utah
Utah
Utah
Utah
Weber
Weber
Weber
Addison
Addison
Bennington
Chittenden
Chittenden
Chittenden
Rutland
Arlington
Charles City
Chesterfield
Fairfax
Fairfax
Fairfax
Henrico
Henrico
Loudoun
Page
Bristol City
Hampton City
33.590851
30.3503
27.8044
27.8118
30.084444
30.194167
35.209963
35.201588
32.805
32.758889
32.693056
30.483159
41 .492778
41 .94595
41.731111
41 .8594
41 .63546
40.902967
40.646667
40.8075
40.70861 1
40.736389
40.704444
40.704444
40.517946
40.543371
40.25361 1
40.341389
40.430278
40.136389
41 .206389
41.179722
41 .303683
43.926516
43.867686
42.88759
44.480278
44.480278
44.4762
43.608056
38.8575
37.343294
37.4361 1 1
38.772778
38.837517
38.931944
37.558333
37.670278
39.024444
38.663333
36.607778
37.003333
-1 01 .84759
-95.425135
-97.4317
-97.465633
-93.761667
-93.866944
-101.83192
-101.90924
-97.356389
-97.342222
-97.24861 1
-97.872266
-112.01806
-112.23318
-1 1 1 .8375
-1 1 1 .8952
-111.86819
-1 1 1 .88447
-1 1 1 .84972
-111.92111
-112.09472
-1 1 1 .87222
-1 1 1 .96861
-1 1 1 .96861
-112.02305
-112.29881
-1 1 1 .66306
-111.71361
-1 1 1 .80389
-1 1 1 .65972
-1 1 1 .97472
-1 1 1 .98306
-1 1 1 .98707
-73.384638
-73.356172
-73.24984
-73.214444
-73.214444
-73.2106
-72.982778
-77.059167
-77.260034
-77.450833
-77.105556
-77.163231
-77.198889
-77.400278
-77.5675
-77.49
-78.504722
-82.164444
-76.399167
A44
-------
516800015
517100024
517700014
517750010
518100008
530050002
530070010
530110013
530330024
530330057
530330080
530470009
530530029
53061 0005
530611007
530630016
530630047
540030003
540090005
540090005
540110006
54029001 1
54029001 1
540291004
540291004
540330003
540330003
540390010
54039001 1
54039001 1
540391005
540391005
540490006
540490006
540511002
540511002
540550002
54061 0003
540690010
540690010
54081 0002
54081 0002
540890001
540890001
541071002
541071002
550030010
550090005
550090009
550250047
550250048
550270007
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
VA
VA
VA
VA
VA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
Wl
Wl
Wl
Wl
Wl
Wl
Lynchburg City
Norfolk City
Roanoke City
Salem City
Virginia Beach City
Benton
Chelan
Clark
King
King
King
Okanogan
Pierce
Snohomish
Snohomish
Spokane
Spokane
Berkeley
Brooke
Brooke
Cabell
Hancock
Hancock
Hancock
Hancock
Harrison
Harrison
Kanawha
Kanawha
Kanawha
Kanawha
Kanawha
Marion
Marion
Marshall
Marshall
Mercer
Monongalia
Ohio
Ohio
Raleigh
Raleigh
Summers
Summers
Wood
Wood
Ashland
Brown
Brown
Dane
Dane
Dodge
37.3605
36.857778
37.2561 1 1
37.291944
36.841111
46.218611
47.598863
45.648333
47.755
47.563333
47.570273
48.364267
47.1864
47.8064
48.055556
47.660833
47.701111
39.448006
40.338056
40.338056
38.42451
40.3945
40.3945
40.421 54
40.421 54
39.278056
39.278056
38.34562
38.44861 1
38.44861 1
38.368056
38.368056
39.480833
39.480833
39.91597
39.91597
37.26732
39.649444
40.1147
40.1147
37.80794
37.80794
37.773056
37.773056
39.32366
39.32366
46.61455
44.516667
44.52361 1
43.073333
43.093
43.435
-79.1883
-76.301667
-79.985
-80.056944
-76.181389
-119.20556
-120.6647
-122.58694
-122.2806
-122.3406
-122.3086
-120.12112
-122.4517
-122.3167
-122.1758
-117.35722
-117.425
-77.964125
-80.597222
-80.597222
-82.425323
-80.612034
-80.612034
-80.580898
-80.580898
-80.3425
-80.3425
-81 .628422
-81 .683889
-81 .683889
-81.693611
-81.693611
-80.135278
-80.135278
-80.734057
-80.734057
-81 .235857
-79.921111
-80.70089
-80.70089
-81.197461
-81.197461
-80.706667
-80.706667
-81.552196
-81.552196
-90.69868
-87.993889
-88.001 1 1 1
-89.435833
-89.34005
-88.527778
A45
-------
55041 0007
55041 0007
550430009
550590019
550630012
55071 0007
550790010
550790026
550790043
550790059
550790099
550870009
550890009
551091002
551 1 1 0007
551198001
551 250001
551 250001
551 330027
551 350004
560050877
560050892
560050899
560090819
560131003
56021 0001
560330001
560330002
560330003
560350705
560390006
72001 0002
72021 0009
720530003
720570008
720590016
72061 0005
720690001
720970003
721130004
721 270003
780100012
780300009
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
WY
WY
WY
WY
WY
WY
WY
WY
WY
WY
WY
PR
PR
PR
PR
PR
PR
PR
PR
PR
PR
VI
VI
Forest
Forest
Grant
Kenosha
La Crosse
Manitowoc
Milwaukee
Milwaukee
Milwaukee
Milwaukee
Milwaukee
Outagamie
Ozaukee
St Croix
Sauk
Taylor
Vilas
Vilas
Waukesha
Waupaca
Campbell
Campbell
Campbell
Converse
Fremont
La ramie
Sheridan
Sheridan
Sheridan
Sublette
Teton
Adjuntas
Bayamon
Fajardo
Guyama
Guyanilla
Guaynabo
Humacao
Mayaguez
Ponce
San Juan
45.56498
45.56498
42.69215
42.504722
43.778
44.138611
43.016667
43.061111
43.02641
42.955
43.039722
44.306944
43.498056
45.124444
43.435556
45.203889
46.048056
46.048056
43.020278
44.35288
43.676944
44.098889
44.471944
43.426667
42.841 1 1 1
41.14
44.797222
44.833333
44.805556
42.8706
43.480833
18.174712
18.399167
18.383333
17.957222
18.044444
18.439444
18.152778
18.209722
18.008889
18.449167
17.714444
18.345278
-88.80859
-88.80859
-90.68637
-87.8093
-91.225
-87.616111
-87.933333
-87.9125
-87.91111
-87.934167
-87.920556
-88.395556
-87.81
-92.6625
-89.680278
-90.6
-89.65361 1
-89.65361 1
-88.215
-89.05083
-105.23583
-105.34278
-105.55583
-105.38583
-108.73556
-104.81722
-106.94917
-106.96389
-106.97556
-109.8602
-110.76528
-66.726516
-66.171667
-65.619444
-66.165556
-66.802778
-66.115
-65.829167
-67.146389
-66.627778
-66.053056
-64.785278
-64.923333
(N. B.: State abbreviations PR and VI refer to Puerto Rico and the Virgin Islands, respectively.)
A46
-------
Table A3. FRM Geographic Information for 2006
AQSJD
010030010
010270001
010331002
010491003
010530002
010550010
010690003
010730023
010730023
010731005
010731005
010731009
010731009
010731010
010731010
010732003
010732003
010732006
010735002
010735002
010735003
010735003
010890014
010970002
010970003
010972005
011010007
011030011
011130001
011170006
011190002
011210002
011250004
011270002
020200018
020900010
021100004
021 700008
040031005
040051008
040070008
040130019
040131003
040134003
040137020
040139997
040190011
040191028
04021 0001
FRM_Method
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
State
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AK
AK
AK
AK
AZ
AZ
AZ
AZ
AZ
AZ
AZ
AZ
AZ
AZ
AZ
County
Baldwin
Clay
Colbert
De Kalb
Escambia
Etowah
Houston
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Madison
Mobile
Mobile
Mobile
Montgomery
Morgan
Russell
Shelby
Sumter
Talladega
Tuscaloosa
Walker
Anchorage
Fairbanks North Star
Juneau
Matanuska-Susitna
Cochise
Coconino
Gila
Maricopa
Maricopa
Maricopa
Maricopa
Maricopa
Pima
Pima
Pinal
Latitude
30.497778
33.281111
34.760556
34.2875
31.106389
33.99361 1
31 .226207
33.553056
33.553056
33.331111
33.331111
33.459722
33.459722
33.545278
33.545278
33.499722
33.499722
33.386389
33.704722
33.704722
33.801667
33.801667
34.68767
30.7663
30.769722
30.474444
32.425833
34.51861
32.476389
33.312778
32.363889
33.279444
33.18903
33.832778
61 .206667
64.841 1 1 1
58.388889
61 .5341 63
31 .348759
35.205988
34.22934
33.48385
33.41045
33.40316
33.488166
33.503643
32.32255
32.29515
32.87861 1
Longitude
-87.881389
-85.802222
-87.650556
-85.968333
-87.071111
-85.991111
-85.390818
-86.815
-86.815
-87.00361 1
-87.00361 1
-87.305556
-87.305556
-86.549167
-86.549167
-86.924167
-86.924167
-86.816667
-86.669167
-86.669167
-86.9425
-86.9425
-86.58637
-88.0757
-88.0875
-88.141111
-86.285278
-86.976944
-84.9991 67
-86.821111
-88.201944
-86.349444
-87.484206
-87.2725
-149.82083
-147.72
-134.56556
-149.03166
-109.53861
-1 1 1 .6528
-1 1 1 .32942
-112.14257
-1 1 1 .86507
-112.07533
-1 1 1 .85493
-112.095
-1 1 1 .0377
-110.9823
-111.75167
A47
-------
04021 3002
040230004
050010011
050030005
050350005
050450002
05051 0003
050670001
051 070001
051130002
051150003
051190007
051191004
051191005
051 31 0008
051 390006
051 450001
06001 0007
060011001
060070002
060090001
060111002
060130002
060190008
060190008
060195001
060195025
060231002
060231004
060250005
060250005
060250007
060250007
060251003
060251003
060271003
060290010
06029001 1
06029001 1
060290014
060290015
060290015
060290016
06031 0004
060333001
060370002
060371002
060371103
060371201
060371301
060371602
060372005
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
AZ
AZ
AR
AR
AR
AR
AR
AR
AR
AR
AR
AR
AR
AR
AR
AR
AR
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
Pinal
Santa Cruz
Arkansas
Ashley
Crittenden
Faulkner
Garland
Jackson
Phillips
Polk
Pope
Pulaski
Pulaski
Pulaski
Sebastian
Union
White
Alameda
Alameda
Butte
Calaveras
Colusa
Contra Costa
Fresno
Fresno
Fresno
Fresno
Humboldt
Humboldt
Imperial
Imperial
Imperial
Imperial
Imperial
Imperial
Inyo
Kern
Kern
Kern
Kern
Kern
Kern
Kern
Kings
Lake
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Los Angeles
33.421944
31 .337204
34.518392
33.139444
35.196667
35.090833
34.470732
35.381618
34.528889
34.585278
35.292222
34.7561 1 1
34.729167
34.676268
35.388333
33.215
35.24861 1
37.6875
37.5358
39.7575
38.201944
39.203056
37.936
36.781389
36.781389
36.819167
36.727083
40.801666
40.776944
32.676111
32.6761 1 1
32.97835
32.97835
32.791667
32.791667
36.487778
35.385556
35.050556
35.050556
35.3561 1 1
35.623889
35.623889
35.324722
36.101389
39.031389
34.1365
34.17605
34.06659
34.19925
33.92899
34.01407
34.1326
-1 1 1 .5025
-110.93672
-91 .558826
-91 .95
-90.191111
-92.401667
-93.064585
-91.112267
-90.585556
-94.2261 1 1
-93.139167
-92.275833
-92.243333
-92.337164
-94.411944
-92.668889
-91.715278
-121.7842
-121.9619
-121.84222
-120.68056
-122.01667
-122.0262
-119.77222
-119.77222
-119.71639
-119.73206
-124.16194
-124.1775
-115.48333
-115.48333
-115.53829
-115.53829
-115.56167
-115.56167
-117.87056
-119.01472
-118.14639
-118.14639
-119.04028
-117.67722
-117.67722
-118.99917
-119.56583
-122.92222
-117.92391
-118.31712
-118.22688
-118.53276
-118.21071
-118.06995
-118.1272
A48
-------
060374002
060374004
060379033
060379033
060450006
060472510
060531003
060531003
060570005
060571001
060571001
060590007
060592022
06061 0006
060631006
060631006
060631009
060651003
060652002
060655001
060658001
060658005
060670006
060670010
060674001
06071 0025
06071 0306
06071 0306
06071 2002
06071 8001
06071 9004
060730001
060730003
060730006
060731002
060731010
060750005
060771002
060792006
060798001
060811001
06083001 1
060831008
060850005
060852003
060870007
060870007
060890004
060932001
060950004
060970003
060990005
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Mendocino
Merced
Monterey
Monterey
Nevada
Nevada
Nevada
Orange
Orange
Placer
Plumas
Plumas
Plumas
Riverside
Riverside
Riverside
Riverside
Riverside
Sacramento
Sacramento
Sacramento
San Bernardino
San Bernardino
San Bernardino
San Bernardino
San Bernardino
San Bernardino
San Diego
San Diego
San Diego
San Diego
San Diego
San Francisco
San Joaquin
San Luis Obispo
San Luis Obispo
San Mateo
Santa Barbara
Santa Barbara
Santa Clara
Santa Clara
Santa Cruz
Santa Cruz
Shasta
Siskiyou
Solano
Sonoma
Stanislaus
33.82376
33.79236
34.671389
34.671389
39.150556
37.309167
36.69683
36.69683
39.234444
39.33861 1
39.33861 1
33.83062
33.63003
38.745833
39.937222
39.937222
39.808333
33.94603
33.70853
33.85275
33.99958
33.995638
38.614167
38.558333
38.555833
34.037222
34.51
34.51
34.10002
34.264444
34.10688
32.622778
32.791389
32.828333
33.127778
32.701389
37.766
37.950833
35.256606
35.491389
37.4829
34.427776
34.9491 67
37.3485
37.3062
36.984
36.984
40.549722
41 .728333
38.1027
38.4435
37.641667
-118.18921
-118.17533
-118.13056
-118.13056
-123.205
-120.48056
-121.63617
-121.63617
-121.05556
-120.17028
-120.17028
-117.93845
-117.67593
-121.26528
-120.93778
-120.93778
-120.47167
-117.40063
-116.21537
-116.54101
-117.41601
-117.4933
-121.36694
-121.49194
-121.45722
-117.69
-117.33056
-117.33056
-117.49201
-116.86444
-117.27411
-117.05611
-116.94167
-117.13333
-117.07417
-117.15278
-122.3991
-121.2675
-120.66889
-120.66806
-122.2034
-119.69028
-120.43667
-121.895
-1 21 .8489
-121.9883
-121.9883
-122.37917
-122.63444
-122.2382
-122.71
-120.99361
A49
-------
061 01 0003
061 072002
061 072002
061 1 1 0007
061 1 1 0009
061 1 1 2002
061113001
061131003
08001 0006
080050005
080070001
080130003
080130012
080290004
08031 0002
08031 0023
080350004
080390001
08041 0008
080410011
08051 0007
080690009
080770017
080770017
081010012
081130004
081 230006
081 230008
090010010
09001 1 1 23
09001 3005
09001 9003
090031003
090050004
090050005
090090026
090090027
090090027
090091123
090092008
0900921 23
090113002
1 0001 0002
1 0001 0003
100031003
100031007
100031007
100031012
1 00032004
100051002
110010041
110010042
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
CA
CA
CA
CA
CA
CA
CA
CA
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CT
CT
CT
CT
CT
CT
CT
CT
CT
CT
CT
CT
CT
CT
DE
DE
DE
DE
DE
DE
DE
DE
DC
DC
Sutler
Tulare
Tulare
Ventura
Ventura
Ventura
Ventura
Yolo
Adams
Arapahoe
Archuleta
Boulder
Boulder
Delta
Denver
Denver
Douglas
Elbert
El Paso
El Paso
Gunnison
Larimer
Mesa
Mesa
Pueblo
San Miguel
Weld
Weld
Fairfield
Fairfield
Fairfield
Fairfield
Hartford
Litchfield
Litchfield
New Haven
New Haven
New Haven
New Haven
New Haven
New Haven
New London
Kent
Kent
New Castle
New Castle
New Castle
New Castle
New Castle
Sussex
District Of Columbia
District Of Columbia
39.138889
36.332222
36.332222
34.21
34.40461 1
34.2775
34.255
38.661944
39.825739
39.604406
37.268056
40.165833
40.021104
38.739167
39.751185
39.778739
39.53448
39.231944
38.898056
38.831389
38.900536
40.571236
39.063625
39.063625
38.263611
37.9375
40.414722
40.209167
41.170833
41 .3991 67
41.1125
41.118333
41 .784722
41 .64486
41.821389
41.291111
41.301111
41.301111
41.310833
41.331389
41 .550556
41.524167
38.984722
39.155
39.761111
39.551111
39.551111
39.691944
39.739444
38.644444
38.897222
38.880833
-121.6175
-119.29028
-119.29028
-118.86944
-118.81
-118.68472
-119.1425
-121.72778
-104.93699
-105.01952
-107.02111
-105.10111
-105.26335
-108.07278
-1 04.98762
-1 04.95627
-105.07035
-1 04.63472
-104.76139
-1 04.82778
-106.96555
-105.08012
-108.56102
-108.56102
-104.61222
-107.81167
-104.70611
-1 04.82306
-73.194722
-73.443056
-73.407222
-73.336667
-72.631667
-73.07908
-73.297222
-72.894167
-72.902778
-72.902778
-72.916944
-72.919722
-73.04361 1
-72.076667
-75.555556
-75.518056
-75.491944
-75.730833
-75.730833
-75.761667
-75.558056
-75.613056
-76.952778
-77.0325
A50
-------
110010043
1 2001 0023
1 2001 0024
120051004
1 20090007
120111002
120112004
120113002
120170005
1 2031 0098
1 2031 0099
1 20330004
1 20330027
1 20330028
1 20330029
1 20330030
1 20570030
1 20573002
1 2071 0005
120730012
120814012
1 20830003
1 20860033
120861016
1 20866001
120951004
1 20952002
1 20990008
1 20990009
1 20992005
121030018
121031009
1 21 056006
121111002
121150013
121171002
1 21 275002
1 3021 0007
1 3021 0007
130210012
130510017
130510017
1 3051 0091
1 30590002
1 30630091
1 30670003
1 30670004
1 30890002
1 30892001
1 30892001
1 30950007
131150005
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
DC
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
District Of Columbia
Alachua
Alachua
Bay
Brevard
Broward
Broward
Broward
Citrus
Duval
Duval
Escambia
Escambia
Escambia
Escambia
Escambia
Hillsborough
Hillsborough
Lee
Leon
Manatee
Marion
Miami-Dade
Miami-Dade
Miami-Dade
Orange
Orange
Palm Beach
Palm Beach
Palm Beach
Pinellas
Pinellas
Polk
St Lucie
Sara so ta
Seminole
Volusia
Bibb
Bibb
Bibb
Chatham
Chatham
Chatham
Clarke
Clayton
Cobb
Cobb
De Kalb
De Kalb
De Kalb
Dougherty
Floyd
38.918889
29.703333
29.658333
30.144167
28.053889
26.082778
26.217222
26.000833
28.980556
30.135556
30.355833
30.525
30.4678
30.4641
30.4594
30.4589
27.931944
27.96565
26.602778
30.439722
27.480556
29.170278
25.94167
25.794167
25.471389
28.550833
28.599444
26.724444
26.731
26.457778
27.785556
27.985945
28.029167
27.448889
27.290556
28.745556
29.206667
32.777231
32.777231
32.805244
32.092778
32.092778
32.11058
33.917925
33.609722
34.01 5346
33.899182
33.688007
33.901251
33.901251
31.576917
34.2631 98
-77.0125
-82.391389
-82.408333
-85.614444
-80.62861 1
-80.237778
-80.127778
-80.160556
-82.7
-81.634167
-81 .548056
-87.204167
-87.3316
-87.3287
-87.3285
-87.334
-82.509722
-82.2304
-81 .878889
-84.348333
-82.618889
-82.100833
-80.32639
-80.2061 1 1
-80.483333
-81 .345556
-81 .363056
-80.666667
-80.234
-80.093057
-82.74
-82.782231
-81 .972222
-80.40833
-82.5075
-81 .31
-81 .053056
-83.641242
-83.641242
-83.543628
-81.144167
-81.144167
-81.162024
-83.344512
-84.391 1 1 1
-84.607484
-84.661589
-84.290325
-84.279989
-84.279989
-84.100194
-85.304826
A51
-------
1 31 21 0032
1 31 21 0032
1 31 21 0039
1 31 21 0048
1 31 270006
1 31 350002
1 31 390003
1 31 530001
1 31 850003
1 31 850003
132150001
132150001
132150008
132150008
132150011
1 32230003
1 32450005
1 32450005
1 32450091
1 32950002
1 33030001
133190001
150030010
150031001
150031001
150031004
1 50032004
1 50090006
160010010
160010011
160050015
160050018
160090010
160090011
1 60270004
1 60270004
1 60270008
1 6041 0001
1 6041 0002
1 60450001
1 60490003
160790017
1 7001 0006
170190004
170191001
1 7031 0022
1 7031 0050
1 7031 0052
1 7031 0057
1 7031 0076
170311016
1 7031 2001
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
HI
HI
HI
HI
HI
HI
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
Fulton
Fulton
Fulton
Fulton
Glynn
Gwinnett
Hall
Houston
Lowndes
Lowndes
Muscogee
Muscogee
Muscogee
Muscogee
Muscogee
Paulding
Richmond
Richmond
Richmond
Walker
Washington
Wilkinson
Honolulu
Honolulu
Honolulu
Honolulu
Honolulu
Maul
Ada
Ada
Bannock
Bannock
Benewah
Benewah
Canyon
Canyon
Canyon
Franklin
Franklin
Gem
Idaho
Shoshone
Adams
Champaign
Champaign
Cook
Cook
Cook
Cook
Cook
Cook
Cook
33.819424
33.819424
33.802189
33.779189
31.16953
33.963074
34.300342
32.6056
30.848056
30.848056
32.483543
32.483543
32.521099
32.521099
32.430944
33.92855
33.469018
33.469018
33.433883
34.966557
32.974722
32.881667
21.329167
21.310278
21.310278
21.305
21 .396667
20.780997
43.607568
43.6361 1 1
42.876725
42.796463
47.316667
47.338702
43.562401
43.562401
43.787147
42.013333
42.082222
43.856442
46.2094
47.536389
39.935025
40.125657
40.054198
41 .6891 95
41 .709561
41 .967429
41 .91 4733
41.751369
41.801111
41 .663997
-84.389791
-84.389791
-84.435658
-84.395843
-81 .496046
-84.0691 93
-83.8139
-83.597907
-83.294444
-83.294444
-84.980977
-84.980977
-84.944695
-84.944695
-84.931818
-85.04548
-81.991581
-81.991581
-82.022414
-85.297229
-82.808889
-83.333889
-158.09333
-157.85806
-157.85806
-157.87333
-157.97167
-156.44637
-116.34843
-116.27028
-112.46035
-112.25812
-116.57028
-116.88461
-116.56323
-116.56323
-116.95958
-111.80917
-111.86417
-116.51546
-116.0275
-116.23667
-91 .404232
-88.229532
-88.372552
-87.539318
-87.568576
-87.749819
-87.722725
-87.713745
-87.831944
-87.696468
A52
-------
1 7031 31 03
1 7031 3301
1 7031 4007
1 7031 4201
1 7031 6005
1 70434002
1 70650002
170831001
1 70890003
1 70890007
170971007
1 70990007
171110001
171132003
171150013
171190023
171191007
171192009
171193007
1 71 430037
1 71 570001
1 71 61 3002
171630010
1 71 634001
171670012
171971002
171971011
172010013
1 80030004
180030014
180190006
1 80350006
1 80370004
1 80370005
1 80372001
1 80390003
180431004
1 80650003
1 80670003
1 80830004
1 80890006
1 80890022
1 80890026
1 80890027
1 80890031
180891003
1 80892004
180892010
180910011
180910012
1 80950009
1 80970042
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
Cook
Cook
Cook
Cook
Cook
Du Page
Hamilton
Jersey
Kane
Kane
Lake
La Salle
Me Henry
Me Lean
Macon
Madison
Madison
Madison
Madison
Peoria
Randolph
Rock Island
St Clair
St Clair
Sangamon
Will
Will
Winnebago
Allen
Allen
Clark
Delaware
Dubois
Dubois
Dubois
Elkhart
Floyd
Henry
Howard
Knox
Lake
Lake
Lake
Lake
Lake
Lake
Lake
Lake
La Porte
La Porte
Madison
Marion
41 .965278
41 .782778
42.060278
42.14
41 .864257
41.771195
38.083942
39.110312
42.050278
41 .786586
42.467535
41 .2931 25
42.221421
40.520584
39.866944
38.69948
38.704444
38.902778
38.860645
40.698886
38.178
41 .51 4722
38.612222
38.529444
39.833792
41 .526667
41.221592
42.265109
41 .094722
41 .050556
38.277675
40.201111
38.369436
38.404778
38.391389
41 .667778
38.308056
40.011667
40.485556
38.740833
41 .6361 1 1
41 .606667
41 .573056
41 .546667
41 .598505
41 .588889
41 .585278
41 .678333
41 .706944
41 .602222
40.111944
39.646254
-87.876389
-87.805278
-87.863333
-87.799167
-87.74888
-88.152502
-88.624942
-90.324168
-88.280278
-88.329376
-87.810024
-89.049242
-88.2421
-88.996898
-88.925556
-90.143433
-90.139444
-90.143056
-90.105754
-89.584741
-89.788455
-90.517222
-90.160278
-89.993056
-89.644167
-88.116389
-88.190948
-89.092776
-85.101944
-85.149722
-85.740153
-85.388056
-86.959031
-86.928322
-86.929167
-85.969444
-85.834167
-85.52361 1
-86.132778
-87.484722
-87.440833
-87.304722
-87.405833
-87.426389
-87.342991
-87.407778
-87.474444
-87.508333
-86.891111
-86.730278
-85.68
-86.248784
A53
-------
1 80970043
1 80970066
1 80970078
1 80970079
1 80970081
1 80970083
1 81 270020
1 81 270024
181410014
181410015
181411008
1 81 41 2004
1 81 470009
1 81 570008
1 81 630006
181630012
181630016
181670018
1 81 670023
190130008
190170011
190450019
1 90450021
1 91 032001
191130037
1 91 370002
191390015
191471002
1 91 530030
1 91 530059
191532510
1 91 550009
1 91 550009
191630015
191630015
191630018
191630019
1 91 770006
191930017
1 91 970004
20091 0007
20091 0009
200910010
201 070002
201 730008
201 730009
201730010
201770010
201770011
201770013
201 91 0002
202090021
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
KS
KS
KS
KS
KS
KS
KS
KS
KS
KS
KS
KS
Marion
Marion
Marion
Marion
Marion
Marion
Porter
Porter
St Joseph
St Joseph
St Joseph
St Joseph
Spencer
Tippe canoe
Vanderburgh
Vanderburgh
Vanderburgh
Vigo
Vigo
Black Hawk
Bremer
Clinton
Clinton
Johnson
Linn
Montgomery
Muscatine
Palo Alto
Polk
Polk
Polk
Pottawattamie
Pottawattamie
Scott
Scott
Scott
Scott
Van Buren
Woodbury
Wright
Johnson
Johnson
Johnson
Linn
Sedgwick
Sedgwick
Sedgwick
Shawnee
Shawnee
Shawnee
Sumner
Wyandotte
39.744957
39.760437
39.811097
39.89361 1
39.788903
39.774944
41.631389
41.6175
41 .663333
41 .696692
41.693611
41 .694444
38.1675
40.431639
37.971667
38.021667
37.974444
39.4861 1 1
39.4561 1 1
42.493056
42.743056
41 .823056
41 .874972
41 .657361
42.008333
40.971211
41 .400833
43.123333
41 .6031 32
41 .583262
41 .603479
41.264167
41.264167
41.53
41.53
41.55
41.517778
40.695078
42.517222
42.695387
38.974444
38.863056
38.83859
38.135833
37.659722
37.651111
37.701111
39.04
39.021389
39.02427
37.476944
39.1175
-86.166496
-86.108848
-86.114469
-86.040556
-86.214628
-86.122053
-87.086944
-87.199167
-86.207778
-86.214683
-86.236667
-86.2875
-86.983333
-86.8525
-87.567222
-87.569444
-87.532222
-87.401389
-87.370556
-92.343889
-92.513056
-90.211944
-90.177444
-91 .503472
-91.678611
-95.043868
-91 .067778
-94.693333
-93.643234
-93.583828
-93.747821
-95.895833
-95.895833
-90.5875
-90.5875
-90.6
-90.618611
-92.006318
-96.386389
-93.655982
-94.686944
-94.768889
-94.74643
-94.731944
-97.297222
-97.362222
-97.313889
-95.691667
-95.748333
-95.71128
-97.366389
-94.635556
A54
-------
202090022
210130002
210190017
210290006
210370003
210430500
210470006
210590005
210610501
210670012
210670014
210730006
210930006
211010014
211110043
211110044
211110048
211110051
211170007
211250004
211451004
211510003
211830032
211930003
211950002
212270007
220170008
220190009
220190010
220290003
220330009
220331001
220470005
220470009
220511001
220511001
22051 2001
22051 2001
22051 81 06
22051 81 07
220550006
220550007
220710010
220710012
22071 81 05
22071 81 06
22071 8401
220730004
220790002
220870004
220870007
2208781 03
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
KS
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
Wyandotte
Bell
Boyd
Bullitt
Campbell
Carter
Christian
Daviess
Edmonson
Fayette
Fayette
Franklin
Hardin
Henderson
Jefferson
Jefferson
Jefferson
Jefferson
Kenton
Laurel
McCracken
Madison
Ohio
Perry
Pike
Warren
Caddo
Calcasieu
Calcasieu
Concordia
East Baton Rouge
East Baton Rouge
Iberville
Iberville
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Lafayette
Lafayette
Orleans
Orleans
Orleans
Orleans
Orleans
Ouachita
Rapides
St Bernard
St Bernard
St Bernard
39.045833
36.608056
38.459167
37.985556
39.065556
38.238333
36.911667
37.780833
37.131389
38.065
38.038889
38.219361
37.706389
37.871389
38.233222
38.190833
38.240556
38.060833
39.0725
37.087222
37.065556
37.738056
37.319725
37.283056
37.482778
36.993333
32.471666
30.227778
30.177143
31 .574236
30.461111
30.587222
30.217778
30.220556
30.043333
30.043333
29.883056
29.883056
29.999264
29.9198
30.274833
30.2175
29.9555
29.994444
30.016905
30.032329
29.96249
32.509713
31.177638
29.941667
29.94475
29.971443
-94.694444
-83.736944
-82.640556
-85.713056
-84.451944
-82.988333
-87.32361 1
-87.075556
-86.148056
-84.5
-84.5075
-84.8385
-85.851667
-87.463333
-85.825278
-85.780556
-85.731667
-85.8961 1 1
-84.525
-84.063333
-88.637778
-84.285556
-86.956097
-83.220278
-82.535278
-86.418333
-93.794999
-93.578333
-93.214514
-91 .455236
-91.176944
-91 .206944
-91 .060556
-91.316111
-90.275
-90.275
-90.083333
-90.083333
-90.211619
-90.231783
-92.0172
-92.051389
-90.12166
-90.102778
-89.927185
-90.045465
-90.05689
-92.046093
-92.410611
-89.933333
-89.976263
-89.998605
A55
-------
221 038400
221 050001
221 090001
221210001
230010011
230030013
230031011
230050015
230050027
2300901 03
230110016
230112006
230172011
230190002
240031003
240051007
240053001
240150003
240251001
24031 3001
240330030
240338003
240430009
245100006
245100007
245100008
245100035
245100040
250035001
250035001
250051004
250092006
250095005
250096001
250096001
250130008
250130016
250130016
250132009
250170009
250170009
250230004
250250002
250250002
250250027
250250042
250250043
250250043
250270016
250270016
250270023
250270023
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
LA
LA
LA
LA
ME
ME
ME
ME
ME
ME
ME
ME
ME
ME
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
St Tammany
Tangipahoa
Terrebonne
West Baton Rouge
Androscoggin
Aroostook
Aroostook
Cumberland
Cumberland
Hancock
Kennebec
Kennebec
Oxford
Penobscot
Anne Arundel
Baltimore
Baltimore
Cecil
Harford
Montgomery
Prince Georges
Prince Georges
Washington
Baltimore City
Baltimore City
Baltimore City
Baltimore City
Baltimore City
Berkshire
Berkshire
Bristol
Essex
Essex
Essex
Essex
Hampden
Hampden
Hampden
Hampden
Middlesex
Middlesex
Plymouth
Suffolk
Suffolk
Suffolk
Suffolk
Suffolk
Suffolk
Worcester
Worcester
Worcester
Worcester
30.31445
30.503056
29.678883
30.501944
44.089444
47.355
46.682222
43.678056
43.661944
44.37705
44.31 2222
44.56817
44.550833
44.798849
39.169533
39.460833
39.310833
39.701111
39.41
39.114444
39.055277
38.81194
39.565556
39.340556
39.344444
39.28768
39.232778
39.298056
42.451667
42.451667
41 .6857
42.474444
42.762778
42.69861 1
42.69861 1
42.19446
42.108889
42.108889
42.106
42.62668
42.62668
42.079722
42.348933
42.348933
42.372928
42.329444
42.362778
42.362778
42.259167
42.259167
42.265802
42.265802
-89.81415
-90.376944
-90.779967
-91 .209722
-70.215
-68.322778
-68.016111
-70.256667
-70.265833
-68.2609
-69.786389
-69.62083
-70.548333
-68.769745
-76.627933
-76.631111
-76.474444
-75.86
-76.296667
-77.106944
-76.878333
-76.74417
-77.721944
-76.582222
-76.685278
-76.547616
-76.579722
-76.604722
-73.255
-73.255
-71.1698
-70.9725
-71.105833
-71.165833
-71.165833
-72.55571 1
-72.591389
-72.591389
-72.597585
-71 .362068
-71 .362068
-71.015278
-71 .097733
-71 .097733
-71.063311
-71 .082778
-71.054167
-71.054167
-71.799167
-71.799167
-71 .794835
-71 .794835
A56
-------
260050003
260170014
260210014
260330901
260330902
260330903
260430002
260490021
260650012
26071 0001
260770008
26081 0020
260990009
261 01 0922
261130001
261150005
261 21 0040
261 250001
261 390005
261 470005
261 61 0008
261 630001
261630015
261630016
261630019
261 630025
261 630033
261 630036
261 630038
261 630039
27021 0001
270370470
270530050
270530961
270530963
270530965
270530968
270531007
270532006
270953051
271 095008
271 230866
271 230868
271 230871
271 377001
271 377550
271 377551
271 390505
271 453052
28001 0004
280110001
280330002
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MS
MS
MS
Allegan
Bay
Berrien
Chippewa
Chippewa
Chippewa
Dickinson
Genesee
Ingham
Iron
Kalamazoo
Kent
Macomb
Manistee
Missaukee
Monroe
Muskegon
Oakland
Ottawa
St Clair
Washtenaw
Wayne
Wayne
Wayne
Wayne
Wayne
Wayne
Wayne
Wayne
Wayne
Cass
Dakota
Hennepin
Hennepin
Hennepin
Hennepin
Hennepin
Hennepin
Hennepin
Mille Lacs
Olmsted
Ramsey
Ramsey
Ramsey
St Louis
St Louis
St Louis
Scott
Stearns
Adams
Bolivar
De Soto
42.767778
43.571389
42.197778
46.49361 1
46.481667
46.454
46.139444
43.04722
42.73861 1
46.159883
42.278056
42.984167
42.731389
44.307
44.31 0556
41 .763889
43.233056
42.463056
42.894444
42.953333
42.240556
42.22861 1
42.302778
42.3578
42.430833
42.423055
42.306666
42.18728
42.335
42.323333
47.159942
44.740751
45.001229
44.87753
44.955396
45.004478
44.893005
45.041815
44.950047
46.207026
43.996908
44.899379
44.952442
44.961451
47.523355
46.820199
46.766667
44.791 437
45.549839
31 .560389
33.746056
34.82166
-86.148611
-83.890833
-86.309722
-84.364167
-84.331667
-84.6067
-87.907222
-83.670278
-84.534722
-88.119627
-85.541944
-85.671389
-82.79361 1
-86.24268
-84.891944
-83.471944
-86.23861 1
-83.183333
-85.852778
-82.456389
-83.599722
-83.208333
-83.106667
-83.09617
-83.000278
-83.426389
-83.148889
-83.15404
-83.1097
-83.06861 1
-94.150987
-93.237293
-93.267117
-93.25882
-93.25827
-93.240046
-93.233227
-93.298729
-93.342874
-93.75941 1
-92.450366
-93.017155
-93.098475
-93.035894
-92.536305
-92.08941
-92.133056
-93.512534
-94.13345
-91 .39025
-90.723028
-89.98783
A57
-------
280350004
2804581 04
2804581 05
2804581 08
280458201
280470008
280470008
2804781 01
2804781 02
2804781 03
2804781 06
2804781 07
280490010
280490018
280590006
280590006
280670002
280750003
28081 0005
280870001
290190004
29021 0005
290370003
290390001
290470005
290770032
290950010
290950034
290990012
291 370001
291831002
291 860006
291 890004
291 892003
295100007
295100085
295100086
295100087
300131026
300290009
300290047
30031 0006
30031 0008
300310013
300490018
300530018
300630021
300630031
30081 0007
300890007
300930005
301111065
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MT
MT
MT
MT
MT
MT
MT
MT
MT
MT
MT
MT
MT
MT
Forrest
Hancock
Hancock
Hancock
Hancock
Harrison
Harrison
Harrison
Harrison
Harrison
Harrison
Harrison
Hinds
Hinds
Jackson
Jackson
Jones
Lauderdale
Lee
Lowndes
Boone
Buchanan
Cass
Cedar
Clay
Greene
Jackson
Jackson
Jefferson
Monroe
St Charles
Ste Genevieve
St Louis
St Louis
St Louis City
St Louis City
St Louis City
St Louis City
Cascade
Flathead
Flathead
Gallatin
Gallatin
Gallatin
Lewis And Clark
Lincoln
Missoula
Missoula
Ravalli
Sanders
Silver Bow
Yellowstone
31 .323639
30.26892
30.40966
30.286737
30.393193
30.390139
30.390139
30.373678
30.449005
30.470916
30.40288
30.319695
32.385583
32.296806
30.378194
30.378194
31 .688444
32.364389
34.26491 7
33.490972
38.956389
39.741667
38.770278
37.695833
39.303056
37.205278
39.036
39.104722
38.437778
39.473056
38.8725
37.967222
38.5325
38.649722
38.5425
38.6563
38.672222
38.642444
47.502222
48.399722
48.2025
45.726314
45.772778
44.657778
46.603889
48.384167
47.1771
46.874912
46.245633
47.596389
46.0025
45.801944
-89.287167
-89.44933
-89.44114
-89.3743
-89.580378
-89.049722
-89.049722
-89.15513
-89.052683
-88.9827
-88.87987
-89.267386
-90.140917
-90.188306
-88.533944
-88.533944
-89.135056
-88.731444
-88.766222
-88.418528
-92.321667
-94.858333
-94.58
-94.0375
-94.376389
-93.283333
-94.5741
-94.570556
-90.361389
-91.789167
-90.226389
-90.051111
-90.382778
-90.350556
-90.26361 1
-90.1981
-90.238889
-90.185583
-1 1 1 .27889
-114.33361
-114.30556
-1 1 1 .0673
-111.1775
-1 1 1 .09083
-112.03528
-115.54806
-113.4827
-113.99525
-114.15886
-115.32361
-112.5
-108.42611
A58
-------
310550019
310550052
310790004
311090022
311530007
311570003
311770002
320030022
320030298
320030561
320031019
320032002
320310016
33001 2004
330050007
330070014
330090010
330111015
330131006
330150014
330190003
340011006
340030003
340070003
340070003
340071007
340130015
340155001
340171003
340171003
340172002
34021 0008
34021 8001
340230006
340270004
340273001
340292002
34031 0005
340390004
340390004
340390006
340392003
34041 0006
35001 0023
35001 0024
350050005
350130017
350130025
350171002
350250008
350431003
350439004
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
NE
NE
NE
NE
NE
NE
NE
NV
NV
NV
NV
NV
NV
NH
NH
NH
NH
NH
NH
NH
NH
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NM
NM
NM
NM
NM
NM
NM
NM
NM
Douglas
Douglas
Hall
Lancaster
Sarpy
Scotts Bluff
Washington
Clark
Clark
Clark
Clark
Clark
Washoe
Belknap
Cheshire
Coos
Grafton
Hillsborough
Merrimack
Rockingham
Sullivan
Atlantic
Bergen
Camden
Camden
Camden
Essex
Gloucester
Hudson
Hudson
Hudson
Mercer
Mercer
Middlesex
Morris
Morris
Ocean
Passaic
Union
Union
Union
Union
Warren
Bernalillo
Bernalillo
Chaves
Dona Ana
Dona Ana
Grant
Lea
Sandoval
Sandoval
41 .247222
41 .333056
40.942099
40.81259
41.133613
41 .865
41.551136
36.390775
36.052222
36.163994
35.785634
36.191111
39.525083
43.565278
42.930556
44.471 1 1 1
43.62957
42.76186
43.132444
43.075278
43.364444
39.362641
40.851667
39.92304
39.92304
39.98888
40.731944
39.825833
40.72545
40.72545
40.773056
40.222222
40.3124
40.47279
40.803056
40.78763
39.995
40.918611
40.64144
40.64144
40.673056
40.60607
40.687222
35.13426
35.0631
33.396944
31 .795833
32.321944
32.784444
32.726656
35.238056
35.615278
-95.975556
-96.099722
-98.364967
-96.68302
-95.955835
-103.66444
-96.146753
-114.90681
-115.05694
-115.11393
-115.35706
-115.12222
-119.80772
-71 .495833
-72.277778
-71.166667
-72.226083
-71 .44455
-71 .45827
-70.748056
-72.338333
-74.429345
-73.973333
-75.09762
-75.09762
-75.049167
-74.205278
-75.289444
-74.05229
-74.05229
-74.031944
-74.76361 1
-74.8726
-74.42251
-74.483333
-74.6763
-74.165833
-74.167778
-74.20836
-74.20836
-74.213611
-74.27498
-75.181389
-106.58551
-106.57879
-104.52361
-106.5575
-106.76778
-108.27167
-103.12292
-106.64944
-106.72444
A59
-------
35043901 1
350450006
350490020
36001 0005
360050080
360050083
360050110
360130011
360290005
360291007
36031 0003
3604701 22
360551007
360590008
36061 0056
36061 0062
36061 0079
36061 01 28
360632008
360671015
36071 0002
36081 01 24
360850055
360850067
360893001
361 01 0003
361 030002
361191002
37001 0002
37021 0034
370330001
370350004
370350006
370370004
37051 0009
370570002
37061 0002
370630001
370650004
370670022
370670030
370710016
370810013
370870010
370990006
371 070004
371 1 1 0004
371170001
371190041
371190042
371190043
371210001
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
NM
NM
NM
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
Sandoval
San Juan
Santa Fe
Albany
Bronx
Bronx
Bronx
Chautauqua
Erie
Erie
Essex
Kings
Monroe
Nassau
New York
New York
New York
New York
Niagara
Onondaga
Orange
Queens
Richmond
Richmond
St Lawrence
Steuben
Suffolk
Westchester
Alamance
Buncombe
Caswell
Catawba
Catawba
Chatham
Cumberland
Davidson
Duplin
Durham
Edgecombe
Forsyth
Forsyth
Gaston
Guilford
Haywood
Jackson
Lenoir
Me Dowell
Martin
Mecklenburg
Mecklenburg
Mecklenburg
Mitchell
35.5064
36.7275
35.671111
42.6424
40.83608
40.86586
40.81616
42.29073
42.87684
42.82728
44.39309
40.7198
43.146198
40.63102
40.75917
40.72052
40.79937
40.73003
43.08216
43.05238
41 .49947
40.7362
40.63302
40.59733
44.67778
42.09071
40.74646
40.93006
36.089004
35.609722
36.307033
35.728889
35.7278
35.757222
35.041416
35.814444
34.954823
35.991944
35.93355
36.110556
36.026
35.253056
36.109167
35.489167
35.466667
35.231459
35.687404
35.81069
35.240278
35.151389
35.3041
35.915278
-106.7222
-108.22083
-105.95361
-73.75453
-73.92021
-73.88075
-73.90207
-79.58658
-78.80988
-78.84989
-73.85892
-73.94788
-77.54813
-73.73479
-73.96651
-74.00409
-73.93334
-73.98446
-79.00099
-76.0592
-74.00973
-73.82317
-74.13713
-74.12619
-74.94999
-77.21025
-73.4189
-73.76924
-79.407821
-82.350833
-79.467417
-81 .365556
-81 .3425
-79.159722
-78.953112
-80.2625
-77.960781
-78.896389
-77.75007
-80.226667
-80.342
-81.153333
-79.801111
-82.9875
-83.278056
-77.568792
-81 .993789
-76.89782
-80.785556
-80.866944
-80.88868
-82.073333
A60
-------
371 230001
371 290002
371 330005
371 350007
371 470005
371 550005
371 590021
371 730002
371830014
371 890003
371 91 0005
380070002
380150003
380150003
380171004
380530002
380570004
390090003
390170003
390170016
390171004
390230005
390250022
390350027
390350034
390350038
390350045
390350060
390350065
390351002
390490024
390490025
390490081
390570005
39061 0006
390610014
39061 0040
39061 0042
39061 0043
39061 7001
39061 8001
390810017
390811001
390851001
390853002
390870010
390930016
390933002
390950024
390950025
390950026
390990005
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
ND
ND
ND
ND
ND
ND
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
Montgomery
New Hanover
Onslow
Orange
Pitt
Robe son
Rowan
Swain
Wake
Watauga
Wayne
Billings
Burleigh
Burleigh
Cass
McKenzie
Mercer
Athens
Butler
Butler
Butler
Clark
Clermont
Cuyahoga
Cuyahoga
Cuyahoga
Cuyahoga
Cuyahoga
Cuyahoga
Cuyahoga
Franklin
Franklin
Franklin
Greene
Hamilton
Hamilton
Hamilton
Hamilton
Hamilton
Hamilton
Hamilton
Jefferson
Jefferson
Lake
Lake
Lawrence
Lorain
Lorain
Lucas
Lucas
Lucas
Mahoning
35.26
34.364167
34.772828
35.901944
35.594167
34.6425
35.551868
35.435509
35.856111
36.221944
35.369214
46.8943
46.825425
46.825425
46.933754
47.5812
47.29861 1
39.4425
39.49361 1
39.338333
39.53
39.928889
39.082319
41 .4775
41 .555
41 .476944
41.471667
41 .493955
41 .446389
41 .395556
39.998333
39.928056
40.087778
39.808056
39.278499
39.194167
39.128611
39.105
39.290278
39.16
39.180278
40.366104
40.321944
41 .755
41 .7225
38.519722
41 .439444
41 .463056
41 .6441 67
41.661944
41 .620556
41.111111
-79.84
-77.83861 1
-77.42796
-79.056667
-77.3861 1 1
-78.990278
-80.395039
-83.443697
-78.574167
-81 .663056
-77.993893
-103.37853
-100.76821
-100.76821
-96.85535
-103.2995
-101.76694
-81.908611
-84.353889
-84.566389
-84.3925
-83.809722
-84.144193
-81 .703056
-81 .575
-81.681944
-81 .657222
-81 .678542
-81.661944
-81.818056
-82.993056
-82.981111
-82.959722
-83.886944
-84.365974
-84.478889
-84.504167
-84.551 1 1 1
-84.414444
-84.457778
-84.491944
-80.615002
-80.606389
-81 .273056
-81.241944
-82.665556
-82.161667
-82.114444
-83.546667
-83.479444
-83.641389
-80.645278
A61
-------
390990014
391 030003
391130031
391130032
391 330002
391351001
391450013
391510017
391 51 0020
391530017
391 530023
391 550007
400159008
40021 9002
400719010
40081 9005
4009701 86
400979014
401010169
401 090035
401091037
401159004
401210415
401359015
401430110
401431127
410190002
410290133
410291001
410294001
410330114
410350004
410390060
410391007
410391009
410392013
410510080
410510246
410590121
410610119
410610119
410670004
42001 0001
420030008
420030064
420030067
420030093
420030095
420031008
420031301
420033007
420070014
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
Mahoning
Medina
Montgomery
Montgomery
Portage
Preble
Scioto
Stark
Stark
Summit
Summit
Trumbull
Caddo
Cherokee
Kay
Lincoln
Mayes
Mayes
Muskogee
Oklahoma
Oklahoma
Ottawa
Pittsburg
Sequoyah
Tulsa
Tulsa
Douglas
Jackson
Jackson
Jackson
Josephine
Klamath
Lane
Lane
Lane
Lane
Multnomah
Multnomah
Umatilla
Union
Union
Washington
Adams
Allegheny
Allegheny
Allegheny
Allegheny
Allegheny
Allegheny
Allegheny
Allegheny
Beaver
41 .095868
41.102778
39.759444
39.760278
41.164167
39.835556
38.754167
40.786667
40.800556
41 .063333
41 .088056
41.214167
35.111944
35.855
36.956731
35.6725
36.304624
36.2284
35.755273
35.47292
35.614131
36.922222
34.90227
35.58175
36.14004
36.204902
43.22769
42.314078
42.5361 1 1
42.426389
42.434139
42.188889
44.026312
43.833898
44.046696
43.744352
45.496667
45.561301
45.651944
45.338972
45.338972
45.52853
39.92
40.465556
40.32361 1
40.381944
40.607222
40.486944
40.618611
40.4025
40.294444
40.747778
-80.658426
-81.911667
-84.144444
-84.187778
-81 .235
-84.720833
-82.9175
-81 .394444
-81 .373333
-81 .46861 1
-81.541667
-80.7875
-98.252778
-94.9861 1 1
-97.034369
-96.657222
-95.310616
-95.25
-95.377669
-97.52709
-97.475083
-94.838889
-95.784375
-94.829
-95.925382
-95.976537
-123.3644
-122.87924
-122.875
-122.85083
-123.34849
-121.7225
-123.08374
-123.03498
-123.0177
-122.48052
-122.60222
-122.67878
-118.81861
-117.9048
-117.9048
-122.97244
-77.31
-79.961111
-79.868333
-80.185556
-80.020833
-80.188056
-79.727222
-79.860278
-79.886667
-80.316667
A62
-------
420110009
420110010
420170012
420210011
4202701 00
4202901 00
42041 01 01
420430401
420450002
420490003
420692006
42071 0007
4208501 00
420910013
420950025
421 01 0003
421 01 0004
421 01 0004
421 01 0024
421 01 0024
421 01 0047
421 01 0056
421010136
421010136
421 250005
421 250200
421 255001
421 290008
421 330008
440030002
440070022
440070022
440070026
440070028
440071010
450030003
450130007
450190048
450190049
450250001
450370001
45041 0002
450430009
450450008
450450009
45045001 1
450450012
450470003
45051 0002
450630008
450730001
450790007
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
Rl
Rl
Rl
Rl
Rl
Rl
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
Berks
Berks
Bucks
Cambria
Centre
Chester
Cumberland
Dauphin
Delaware
Erie
Lackawanna
Lancaster
Mercer
Montgomery
Northampton
Philadelphia
Philadelphia
Philadelphia
Philadelphia
Philadelphia
Philadelphia
Philadelphia
Philadelphia
Philadelphia
Washington
Washington
Washington
Westmoreland
York
Kent
Providence
Providence
Providence
Providence
Providence
Aiken
Beaufort
Charleston
Charleston
Chesterfield
Edgefield
Florence
Georgetown
Greenville
Greenville
Greenville
Greenville
Greenwood
Horry
Lexington
Oconee
Richland
40.320278
40.392694
40.107222
40.309722
40.811389
39.834444
40.246528
40.245
39.835556
42.14175
41 .442778
40.046667
41.215
40.112222
40.628056
39.944167
40.008889
40.008889
40.076389
40.076389
39.944722
39.90583
39.9275
39.9275
40.146667
40.170556
40.445278
40.304694
39.965278
41.6156
41 .807949
41 .807949
41 .874655
41 .80933
41 .84092
33.342226
32.436539
32.980254
32.790984
34.615367
33.741693
34.167636
33.373994
34.838814
34.901046
34.88451 1
34.817197
34.21 4556
33.702771
34.052805
34.805261
34.093959
-75.926667
-75.925222
-74.882222
-78.915
-77.877028
-75.76861 1
-77.18675
-76.844722
-75.3725
-80.03861 1
-75.623056
-76.283333
-80.485
-75.309167
-75.341 1 1 1
-75.166111
-75.097778
-75.097778
-75.011944
-75.011944
-75.166111
-75.23972
-75.222778
-75.222778
-79.902222
-80.261389
-80.420833
-79.505667
-76.699444
-71.7199
-71.415
-71.415
-71 .379944
-71 .40743
-71 .36094
-81.788731
-80.677854
-80.06501
-79.958694
-80.198787
-81 .853633
-79.850404
-79.285697
-82.402914
-82.31307
-82.359807
-82.418487
-82.173146
-78.877478
-81.15495
-83.2377
-80.962304
A63
-------
450790019
450830010
460110002
460130003
460290002
4603301 32
46071 0001
460990006
460990007
461030016
461 030020
461031001
47009001 1
470370023
470370025
470370036
470450004
470650031
470651011
470654002
470930028
470931017
470931020
470990002
471 0501 08
471071002
471130006
471192007
471251009
471251010
471 41 0001
471 41 0005
471 450004
471570014
471 570024
471 570038
471 570047
471571004
471631007
471 650007
480370004
480370004
4804301 01
4804301 01
48061 2004
481130050
481130069
481130087
481 350003
481 350003
481390016
481 41 0037
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
SC
SC
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
Richland
Spartanburg
Brookings
Brown
Codington
Custer
Jackson
Minnehaha
Minnehaha
Pennington
Pennington
Pennington
Blount
Davidson
Davidson
Davidson
Dyer
Hamilton
Hamilton
Hamilton
Knox
Knox
Knox
Lawrence
Loudon
McMinn
Madison
Maury
Montgomery
Montgomery
Putnam
Putnam
Roane
Shelby
Shelby
Shelby
Shelby
Shelby
Sullivan
Sumner
Bowie
Bowie
Brewster
Brewster
Cameron
Dallas
Dallas
Dallas
Ector
Ector
Ellis
El Paso
33.993299
34.926839
44.31 0283
45.4625
44.89965
43.5578
43.74561
43.544289
43.537626
44.064932
44.087397
44.080295
35.768333
36.176326
36.1
36.118251
36.052778
34.990944
35.233527
35.050928
35.94361 1
35.975
36.01944
35.116111
35.7447
35.451111
35.653651
35.64361 1
36.514444
36.625
36.173611
36.18572
35.9386
35.085833
35.150833
35.184167
35.16895
35.377222
36.540654
36.297778
33.425757
33.425757
29.3025
29.3025
26.073333
32.774167
32.819952
32.6766
31 .826578
31 .826578
32.481944
31 .768274
-81.024141
-82.00521
-96.80071
-98.4861 1 1
-97.128802
-103.4839
-101.94122
-96.726435
-96.682001
-103.20914
-103.27378
-103.22855
-83.942222
-86.738902
-86.734444
-86.873547
-89.381944
-85.22875
-85.181806
-85.292975
-84.038889
-83.954444
-83.87361
-87.47
-84.3174
-84.599167
-88.809084
-87.013056
-87.327778
-87.169167
-85.509444
-85.4922
-84.5438
-89.949444
-90.041389
-89.930278
-90.021567
-89.832222
-82.521667
-86.652778
-94.070807
-94.070807
-103.16782
-103.16782
-97.166667
-96.797778
-96.860082
-96.8716
-102.34198
-102.34198
-97.0275
-106.5012
A64
-------
481 41 0044
481 41 0053
48201 0024
48201 0058
482011035
482030002
482030002
482150043
482150043
482450021
483550032
483550032
483550034
483550034
483611001
483750320
484391002
484391006
484530020
490030003
490037001
490050004
490050005
490050006
490110004
490350003
490350012
490351001
490353006
490353007
490353007
490353008
490450003
490490002
490490002
490494001
490495008
490495010
490570002
490570007
490571003
50001 0002
50001 0003
500030004
500070012
500070012
500070014
50021 0002
510130020
510360002
510410003
510590030
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
VT
VT
VT
VT
VT
VT
VT
VA
VA
VA
VA
El Paso
El Paso
Harris
Harris
Harris
Harrison
Harrison
Hidalgo
Hidalgo
Jefferson
Nueces
Nueces
Nueces
Nueces
Orange
Potter
Tarrant
Tarrant
Travis
Box Elder
Box Elder
Cache
Cache
Cache
Davis
Salt Lake
Salt Lake
Salt Lake
Salt Lake
Salt Lake
Salt Lake
Salt Lake
Tooele
Utah
Utah
Utah
Utah
Utah
Weber
Weber
Weber
Addison
Addison
Bennington
Chittenden
Chittenden
Chittenden
Rutland
Arlington
Charles City
Chesterfield
Fairfax
31 .765673
31.758516
29.901111
29.770686
29.733713
32.669003
32.669003
26.226238
26.226238
29.922778
27.8044
27.8044
27.8118
27.8118
30.084444
35.201588
32.805
32.758889
30.483159
41 .492778
41 .94595
41.731111
41 .8594
41 .63546
40.902967
40.646667
40.8075
40.70861 1
40.736389
40.704444
40.704444
40.517946
40.543371
40.25361 1
40.25361 1
40.341389
40.430278
40.136389
41 .206389
41.179722
41 .303683
43.926516
43.867686
42.88759
44.480278
44.480278
44.4762
43.608056
38.8575
37.343294
37.4361 1 1
38.772778
-106.45523
-106.50105
-95.326944
-95.031215
-95.257591
-94.167449
-94.167449
-98.291064
-98.291064
-93.908889
-97.4317
-97.4317
-97.465633
-97.465633
-93.761667
-101.90924
-97.356389
-97.342222
-97.872266
-112.01806
-112.23318
-1 1 1 .8375
-1 1 1 .8952
-111.86819
-1 1 1 .88447
-1 1 1 .84972
-111.92111
-112.09472
-1 1 1 .87222
-1 1 1 .96861
-1 1 1 .96861
-112.02305
-112.29881
-1 1 1 .66306
-1 1 1 .66306
-111.71361
-1 1 1 .80389
-1 1 1 .65972
-1 1 1 .97472
-1 1 1 .98306
-1 1 1 .98707
-73.384638
-73.356172
-73.24984
-73.214444
-73.214444
-73.2106
-72.982778
-77.059167
-77.260034
-77.450833
-77.105556
A65
-------
510591005
510595001
510870014
510870015
511071005
511130003
511390004
515200006
516500004
516800015
517100024
517700014
517700015
517750010
518100008
530330024
530330057
530330080
530530029
53061 0005
53061 0020
530611007
530630016
540030003
540030003
540090005
540110006
54029001 1
540291004
540330003
540390010
54039001 1
540391005
540490006
540511002
54061 0003
54061 0003
540690010
54081 0002
541071002
550030010
550090005
550090009
550250047
550250048
550270007
55041 0007
550430009
550590019
550630012
55071 0007
550790010
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
WA
WA
WA
WA
WA
WA
WA
WA
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Fairfax
Fairfax
Henrico
Henrico
Loudoun
Madison
Page
Bristol City
Hampton City
Lynchburg City
Norfolk City
Roanoke City
Roanoke City
Salem City
Virginia Beach City
King
King
King
Pierce
Snohomish
Snohomish
Snohomish
Spokane
Berkeley
Berkeley
Brooke
Cabell
Hancock
Hancock
Harrison
Kanawha
Kanawha
Kanawha
Marion
Marshall
Monongalia
Monongalia
Ohio
Raleigh
Wood
Ashland
Brown
Brown
Dane
Dane
Dodge
Forest
Grant
Kenosha
La Crosse
Manitowoc
Milwaukee
38.837517
38.931944
37.558333
37.670278
39.024444
38.521944
38.663333
36.607778
37.003333
37.3605
36.857778
37.2561 1 1
37.297178
37.291944
36.841111
47.755
47.563333
47.570273
47.1864
47.8064
48.2469
48.055556
47.660833
39.448006
39.448006
40.338056
38.42451
40.3945
40.421 54
39.278056
38.34562
38.44861 1
38.368056
39.480833
39.91597
39.649444
39.649444
40.1147
37.80794
39.32366
46.61455
44.51 6667
44.52361 1
43.073333
43.093
43.435
45.56498
42.69215
42.504722
43.778
44.138611
43.016667
-77.163231
-77.198889
-77.400278
-77.5675
-77.49
-78.4361 1 1
-78.504722
-82.164444
-76.399167
-79.1883
-76.301667
-79.985
-79.95557
-80.056944
-76.181389
-122.2806
-122.3406
-122.3086
-122.4517
-122.3167
-121.6031
-122.1758
-117.35722
-77.964125
-77.964125
-80.597222
-82.425323
-80.612034
-80.580898
-80.3425
-81 .628422
-81 .683889
-81.693611
-80.135278
-80.734057
-79.921 1 1 1
-79.921111
-80.70089
-81.197461
-81.552196
-90.69868
-87.993889
-88.001111
-89.435833
-89.34005
-88.527778
-88.80859
-90.68637
-87.8093
-91.225
-87.616111
-87.933333
A66
-------
550790026
550790043
550790059
550790099
550870009
550890009
551091002
551 1 1 0007
551198001
551 250001
551 250001
551 330027
551 350004
560050877
560050877
560050892
560050899
560090819
560131003
56021 0001
560330002
560330003
560350705
560390006
72001 0002
72021 0009
720530003
720570008
720590016
72061 0005
720690001
720970003
721130004
721 270003
780100012
780300009
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
WY
WY
WY
WY
WY
WY
WY
WY
WY
WY
WY
PR
PR
PR
PR
PR
PR
PR
PR
PR
PR
VI
VI
Milwaukee
Milwaukee
Milwaukee
Milwaukee
Outagamie
Ozaukee
St Croix
Sauk
Taylor
Vilas
Vilas
Waukesha
Waupaca
Campbell
Campbell
Campbell
Campbell
Converse
Fremont
La ramie
Sheridan
Sheridan
Sublette
Teton
Adjuntas
Bayamon
Fajardo
Guyama
Guyanilla
Guaynabo
Humacao
Mayaguez
Ponce
San Juan
43.061111
43.02641
42.955
43.039722
44.306944
43.498056
45.124444
43.435556
45.203889
46.048056
46.048056
43.020278
44.35288
43.676944
43.676944
44.098889
44.471944
43.426667
42.841 1 1 1
41.14
44.833333
44.805556
42.8706
43.480833
18.174712
18.399167
18.383333
17.957222
18.044444
18.439444
18.152778
18.209722
18.008889
18.449167
17.714444
18.345278
-87.9125
-87.91111
-87.934167
-87.920556
-88.395556
-87.81
-92.6625
-89.680278
-90.6
-89.65361 1
-89.65361 1
-88.215
-89.05083
-105.23583
-105.23583
-105.34278
-105.55583
-105.38583
-108.73556
-104.81722
-106.96389
-106.97556
-109.8602
-110.76528
-66.726516
-66.171667
-65.619444
-66.165556
-66.802778
-66.115
-65.829167
-67.146389
-66.627778
-66.053056
-64.785278
-64.923333
(N. B.: State abbreviations PR and VI refer to Puerto Rico and the Virgin Islands, respectively.)
A67
-------
Table A4. FRM Geographic Information for 2007
AQSJD
010030010
010270001
010331002
010491003
010530002
010550010
010690003
010730023
010730023
010731005
010731009
010731009
010731010
010732003
010732003
010732006
010732006
010735002
010735002
010735003
010890014
010970002
010970003
010972005
011010007
011030011
011130001
011170006
011190002
011210002
011250004
011270002
020200018
020900010
021100004
021 700008
022320002
040031005
040051008
040070008
040130019
040131003
040134003
040137020
040139997
040190011
040191028
04021 0001
04021 0001
FRM_Method
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
State
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AK
AK
AK
AK
AK
AZ
AZ
AZ
AZ
AZ
AZ
AZ
AZ
AZ
AZ
AZ
AZ
County
Baldwin
Clay
Colbert
De Kalb
Escambia
Etowah
Houston
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Madison
Mobile
Mobile
Mobile
Montgomery
Morgan
Russell
Shelby
Sumter
Talladega
Tuscaloosa
Walker
Anchorage
Fairbanks North Star
Juneau
Matanuska-Susitna
Skagway-Hoonah-Angoon
Cochise
Coconino
Gila
Maricopa
Maricopa
Maricopa
Maricopa
Maricopa
Pima
Pima
Pinal
Pinal
Latitude
30.497778
33.281111
34.760556
34.2875
31.106389
33.99361 1
31 .226207
33.553056
33.553056
33.331111
33.459722
33.459722
33.545278
33.499722
33.499722
33.386389
33.386389
33.704722
33.704722
33.801667
34.68767
30.7663
30.769722
30.474444
32.425833
34.51861
32.476389
33.312778
32.363889
33.279444
33.18903
33.832778
61 .206667
64.841 1 1 1
58.388889
61 .5341 63
59.46008
31 .348759
35.205988
34.22934
33.48385
33.41045
33.40316
33.488166
33.503643
32.32255
32.29515
32.87861 1
32.87861 1
Longitude
-87.881389
-85.802222
-87.650556
-85.968333
-87.071111
-85.991111
-85.390818
-86.815
-86.815
-87.00361 1
-87.305556
-87.305556
-86.549167
-86.924167
-86.924167
-86.816667
-86.816667
-86.669167
-86.669167
-86.9425
-86.58637
-88.0757
-88.0875
-88.141111
-86.285278
-86.976944
-84.9991 67
-86.821111
-88.201944
-86.349444
-87.484206
-87.2725
-149.82083
-147.72
-134.56556
-149.03166
-135.31053
-109.53861
-1 1 1 .6528
-1 1 1 .32942
-112.14257
-1 1 1 .86507
-112.07533
-1 1 1 .85493
-112.095
-1 1 1 .0377
-110.9823
-111.75167
-111.75167
A68
-------
04021 3002
04021 3002
040230004
050010011
050030005
050350005
050450002
05051 0003
050930007
051 070001
051130002
051150003
051190007
051191004
051191005
051 31 0008
051 390006
051 450001
06001 0007
060011001
060070002
060090001
060111002
060130002
060190008
060195001
060195025
060231002
060250005
060250007
060251003
060271003
060290010
06029001 1
06029001 1
060290014
060290015
060290016
06031 0004
060333001
060370002
060371002
060371103
060371201
060371301
060371601
060371602
060372005
060374002
060374004
060379033
060450006
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
AZ
AZ
AZ
AR
AR
AR
AR
AR
AR
AR
AR
AR
AR
AR
AR
AR
AR
AR
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
Pinal
Pinal
Santa Cruz
Arkansas
Ashley
Crittenden
Faulkner
Garland
Mississippi
Phillips
Polk
Pope
Pulaski
Pulaski
Pulaski
Sebastian
Union
White
Alameda
Alameda
Butte
Calaveras
Colusa
Contra Costa
Fresno
Fresno
Fresno
Humboldt
Imperial
Imperial
Imperial
Inyo
Kern
Kern
Kern
Kern
Kern
Kern
Kings
Lake
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Mendocino
33.421944
33.421944
31 .337204
34.518392
33.139444
35.196667
35.090833
34.470732
35.929167
34.528889
34.585278
35.292222
34.7561 1 1
34.729167
34.676268
35.388333
33.215
35.24861 1
37.6875
37.5358
39.7575
38.201944
39.203056
37.936
36.781389
36.819167
36.727083
40.801666
32.6761 1 1
32.97835
32.791667
36.487778
35.385556
35.050556
35.050556
35.3561 1 1
35.623889
35.324722
36.101389
39.031389
34.1365
34.17605
34.06659
34.19925
33.92899
34.01407
34.01407
34.1326
33.82376
33.79236
34.671389
39.150556
-1 1 1 .5025
-1 1 1 .5025
-110.93672
-91 .558826
-91 .95
-90.191111
-92.401667
-93.064585
-89.900833
-90.585556
-94.2261 1 1
-93.139167
-92.275833
-92.243333
-92.337164
-94.411944
-92.668889
-91.715278
-121.7842
-121.9619
-121.84222
-120.68056
-122.01667
-122.0262
-119.77222
-119.71639
-119.73206
-124.16194
-115.48333
-115.53829
-115.56167
-117.87056
-119.01472
-118.14639
-118.14639
-119.04028
-117.67722
-118.99917
-119.56583
-122.92222
-117.92391
-118.31712
-118.22688
-118.53276
-118.21071
-118.06056
-118.06995
-118.1272
-118.18921
-118.17533
-118.13056
-123.205
A69
-------
060472510
06051 0001
060531003
060570005
060571001
060590007
060592022
06061 0006
060631006
060631009
060651003
060652002
060655001
060658001
060670006
060670010
060674001
06071 0025
06071 0306
06071 2002
06071 8001
06071 9004
060730001
060730003
060730006
060731002
060731007
060731010
060750005
060771002
060792002
060792006
060798001
060811001
06083001 1
060831008
060850005
060852003
060870007
060890004
060932001
060950004
060970003
060990005
061 01 0003
061 072002
061 072002
061 1 1 0007
061 1 1 0009
061 1 1 2002
061113001
061131003
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
Merced
Mono
Monterey
Nevada
Nevada
Orange
Orange
Placer
Plumas
Plumas
Riverside
Riverside
Riverside
Riverside
Sacramento
Sacramento
Sacramento
San Bernardino
San Bernardino
San Bernardino
San Bernardino
San Bernardino
San Diego
San Diego
San Diego
San Diego
San Diego
San Diego
San Francisco
San Joaquin
San Luis Obispo
San Luis Obispo
San Luis Obispo
San Mateo
Santa Barbara
Santa Barbara
Santa Clara
Santa Clara
Santa Cruz
Shasta
Siskiyou
Solano
Sonoma
Stanislaus
Sutler
Tulare
Tulare
Ventura
Ventura
Ventura
Ventura
Yolo
37.309167
37.648056
36.69683
39.234444
39.33861 1
33.83062
33.63003
38.745833
39.937222
39.808333
33.94603
33.70853
33.85275
33.99958
38.614167
38.558333
38.555833
34.037222
34.51
34.10002
34.264444
34.10688
32.622778
32.791389
32.828333
33.127778
32.708889
32.701389
37.766
37.950833
35.283889
35.256606
35.491389
37.4829
34.427776
34.9491 67
37.3485
37.3062
36.984
40.549722
41 .728333
38.1027
38.4435
37.641667
39.138889
36.332222
36.332222
34.21
34.40461 1
34.2775
34.255
38.661944
-120.48056
-118.97333
-121.63617
-121.05556
-120.17028
-117.93845
-117.67593
-121.26528
-120.93778
-120.47167
-117.40063
-116.21537
-116.54101
-117.41601
-121.36694
-121.49194
-121.45722
-117.69
-117.33056
-117.49201
-116.86444
-117.27411
-117.05611
-116.94167
-117.13333
-117.07417
-117.15278
-117.15278
-122.3991
-121.2675
-120.65417
-120.66889
-120.66806
-122.2034
-119.69028
-120.43667
-121.895
-1 21 .8489
-121.9883
-122.37917
-122.63444
-122.2382
-122.71
-120.99361
-121.6175
-119.29028
-119.29028
-118.86944
-118.81
-118.68472
-119.1425
-121.72778
A70
-------
08001 0006
080050005
080070001
080130003
080130012
080290004
08031 0002
08031 0023
080350004
080390001
080390001
08041 0008
080410011
08051 0005
08051 0007
080690009
080770017
080770017
081010012
081 070003
081130004
081 230006
081 230008
090010010
09001 1 1 23
09001 3005
09001 9003
090031003
090050005
090090018
090090026
090090027
090091123
090092008
0900921 23
090113002
1 0001 0002
1 0001 0003
100031003
100031007
100031012
1 00032004
100051002
110010041
110010042
110010043
1 2001 0023
1 2001 0024
120051004
1 20090007
120111002
120112004
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CT
CT
CT
CT
CT
CT
CT
CT
CT
CT
CT
CT
CT
DE
DE
DE
DE
DE
DE
DE
DC
DC
DC
FL
FL
FL
FL
FL
FL
Adams
Arapahoe
Archuleta
Boulder
Boulder
Delta
Denver
Denver
Douglas
Elbert
Elbert
El Paso
El Paso
Gunnison
Gunnison
Larimer
Mesa
Mesa
Pueblo
Routt
San Miguel
Weld
Weld
Fairfield
Fairfield
Fairfield
Fairfield
Hartford
Litchfield
New Haven
New Haven
New Haven
New Haven
New Haven
New Haven
New London
Kent
Kent
New Castle
New Castle
New Castle
New Castle
Sussex
District Of Columbia
District Of Columbia
District Of Columbia
Alachua
Alachua
Bay
Brevard
Broward
Broward
39.825739
39.604406
37.268056
40.165833
40.021104
38.739167
39.751185
39.778739
39.53448
39.231944
39.231944
38.898056
38.831389
38.9
38.900536
40.571236
39.063625
39.063625
38.263611
40.485278
37.9375
40.414722
40.209167
41.170833
41 .3991 67
41.1125
41.118333
41 .784722
41.821389
41 .293889
41.291111
41.301111
41.310833
41.331389
41 .550556
41.524167
38.984722
39.155
39.761111
39.551111
39.691944
39.739444
38.644444
38.897222
38.880833
38.918889
29.703333
29.658333
30.144167
28.053889
26.082778
26.217222
-104.93699
-105.01952
-107.02111
-105.10111
-105.26335
-108.07278
-1 04.98762
-1 04.95627
-105.07035
-1 04.63472
-1 04.63472
-104.76139
-104.82778
-106.9625
-106.96555
-105.08012
-108.56102
-108.56102
-104.61222
-106.83083
-107.81167
-104.70611
-1 04.82306
-73.194722
-73.443056
-73.407222
-73.336667
-72.631667
-73.297222
-72.901389
-72.894167
-72.902778
-72.916944
-72.919722
-73.04361 1
-72.076667
-75.555556
-75.518056
-75.491944
-75.730833
-75.761667
-75.558056
-75.613056
-76.952778
-77.0325
-77.0125
-82.391389
-82.408333
-85.614444
-80.62861 1
-80.237778
-80.127778
A71
-------
120113002
120170005
1 2031 0098
1 2031 0099
1 20330004
1 20330025
1 20330026
1 20570030
1 20573002
1 2071 0005
120730012
120814012
1 20830003
1 20860033
120861016
1 20866001
120951004
1 20952002
1 20990008
1 20990009
1 20992005
121030018
121031009
1 21 056006
121111002
121150013
121171002
1 21 275002
1 3021 0007
130210012
130510017
1 3051 0091
1 30590001
1 30590002
1 30630091
1 30670003
1 30670004
1 30890002
1 30892001
1 30950007
131150005
1 31 21 0032
1 31 21 0039
1 31 270006
1 31 350002
1 31 390003
1 31 530001
1 31 850003
1 31 850003
132150001
132150008
132150008
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
Broward
Citrus
Duval
Duval
Escambia
Escambia
Escambia
Hillsborough
Hillsborough
Lee
Leon
Manatee
Marion
Miami-Dade
Miami-Dade
Miami-Dade
Orange
Orange
Palm Beach
Palm Beach
Palm Beach
Pinellas
Pinellas
Polk
St Lucie
Sara so ta
Seminole
Volusia
Bibb
Bibb
Chatham
Chatham
Clarke
Clarke
Clayton
Cobb
Cobb
De Kalb
De Kalb
Dougherty
Floyd
Fulton
Fulton
Glynn
Gwinnett
Hall
Houston
Lowndes
Lowndes
Muscogee
Muscogee
Muscogee
26.000833
28.980556
30.135556
30.355833
30.525
30.437
30.55
27.931944
27.96565
26.602778
30.439722
27.480556
29.170278
25.94167
25.794167
25.471389
28.550833
28.599444
26.724444
26.731
26.457778
27.785556
27.985945
28.029167
27.448889
27.290556
28.745556
29.206667
32.777231
32.805244
32.092778
32.11058
33.945833
33.917925
33.609722
34.01 5346
33.899182
33.688007
33.901251
31.576917
34.2631 98
33.819424
33.802189
31.16953
33.963074
34.300342
32.6056
30.848056
30.848056
32.483543
32.521099
32.521099
-80.160556
-82.7
-81.634167
-81 .548056
-87.204167
-87.256
-87.376
-82.509722
-82.2304
-81 .878889
-84.348333
-82.618889
-82.100833
-80.32639
-80.2061 1 1
-80.483333
-81 .345556
-81 .363056
-80.666667
-80.234
-80.093057
-82.74
-82.782231
-81 .972222
-80.40833
-82.5075
-81 .31
-81 .053056
-83.641242
-83.543628
-81.144167
-81.162024
-83.372222
-83.344512
-84.391 1 1 1
-84.607484
-84.661589
-84.290325
-84.279989
-84.100194
-85.304826
-84.389791
-84.435658
-81 .496046
-84.0691 93
-83.8139
-83.597907
-83.294444
-83.294444
-84.980977
-84.944695
-84.944695
A72
-------
132150011
1 32230003
1 32450005
1 32450091
1 32950002
1 33030001
1 33030001
133190001
150030010
150031001
150031004
1 50032004
1 50090006
160010011
160050015
160050018
160090010
160090011
160190013
1 6021 0002
1 60270004
1 60270008
1 6041 0001
1 6041 0002
1 60450001
1 60490003
1 60590004
160770011
160790017
1 7001 0006
170190004
170191001
1 7031 0022
1 7031 0050
1 7031 0052
1 7031 0057
1 7031 0076
170311016
1 7031 2001
1 7031 31 03
1 7031 3301
1 7031 4007
1 7031 4201
1 7031 6005
1 70434002
1 70650002
170831001
1 70890003
1 70890007
170971007
1 70990007
171110001
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
GA
GA
GA
GA
GA
GA
GA
GA
HI
HI
HI
HI
HI
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
Muscogee
Paulding
Richmond
Richmond
Walker
Washington
Washington
Wilkinson
Honolulu
Honolulu
Honolulu
Honolulu
Maul
Ada
Bannock
Bannock
Benewah
Benewah
Bonneville
Boundary
Canyon
Canyon
Franklin
Franklin
Gem
Idaho
Lemhi
Power
Shoshone
Adams
Champaign
Champaign
Cook
Cook
Cook
Cook
Cook
Cook
Cook
Cook
Cook
Cook
Cook
Cook
Du Page
Hamilton
Jersey
Kane
Kane
Lake
La Salle
Me Henry
32.430944
33.92855
33.469018
33.433883
34.966557
32.974722
32.974722
32.881667
21.329167
21.310278
21.305
21 .396667
20.780997
43.6361 1 1
42.876725
42.796463
47.316667
47.338702
43.518267
48.70555
43.562401
43.787147
42.013333
42.082222
43.856442
46.2094
45.170556
42.9125
47.536389
39.935025
40.125657
40.054198
41 .6891 95
41 .709561
41 .967429
41 .91 4733
41.751369
41.801111
41 .663997
41 .965278
41 .782778
42.060278
42.14
41 .864257
41.771195
38.083942
39.110312
42.050278
41 .786586
42.467535
41 .2931 25
42.221421
-84.931818
-85.04548
-81.991581
-82.022414
-85.297229
-82.808889
-82.808889
-83.333889
-158.09333
-157.85806
-157.87333
-157.97167
-156.44637
-116.27028
-112.46035
-112.25812
-116.57028
-116.88461
-112.02071
-116.36897
-116.56323
-116.95958
-111.80917
-111.86417
-116.51546
-116.0275
-113.89222
-112.53556
-116.23667
-91 .404232
-88.229532
-88.372552
-87.539318
-87.568576
-87.749819
-87.722725
-87.713745
-87.831944
-87.696468
-87.876389
-87.805278
-87.863333
-87.799167
-87.74888
-88.152502
-88.624942
-90.324168
-88.280278
-88.329376
-87.810024
-89.049242
-88.2421
A73
-------
171132003
171150013
171190023
171191007
171192009
171193007
1 71 430037
1 71 570001
1 71 61 3002
171630010
1 71 634001
171670012
171971002
171971011
172010013
1 80030004
180030014
180190006
1 80350006
1 80372001
1 80390003
180431004
1 80650003
1 80670003
1 80830004
1 80890006
1 80890022
1 80890026
1 80890027
1 80890031
180891003
1 80892004
180892010
180910011
180910012
1 80950009
1 80970042
1 80970043
1 80970066
1 80970078
1 80970079
1 80970081
1 80970083
1 81 270020
1 81 270024
181410014
181411008
1 81 41 2004
1 81 470009
1 81 570008
1 81 630006
181630012
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
IN
Me Lean
Macon
Madison
Madison
Madison
Madison
Peoria
Randolph
Rock Island
St Clair
St Clair
Sangamon
Will
Will
Winnebago
Allen
Allen
Clark
Delaware
Dubois
Elkhart
Floyd
Henry
Howard
Knox
Lake
Lake
Lake
Lake
Lake
Lake
Lake
Lake
La Porte
La Porte
Madison
Marion
Marion
Marion
Marion
Marion
Marion
Marion
Porter
Porter
St Joseph
St Joseph
St Joseph
Spencer
Tippe canoe
Vanderburgh
Vanderburgh
40.520584
39.866944
38.69948
38.704444
38.902778
38.860645
40.698886
38.178
41 .51 4722
38.612222
38.529444
39.833792
41 .526667
41.221592
42.265109
41 .094722
41 .050556
38.277675
40.201111
38.391389
41 .667778
38.308056
40.011667
40.485556
38.740833
41 .6361 1 1
41 .606667
41 .573056
41 .546667
41 .598505
41 .588889
41 .585278
41 .678333
41 .706944
41 .602222
40.111944
39.646254
39.744957
39.760437
39.811097
39.89361 1
39.788903
39.774944
41.631389
41.6175
41 .663333
41.693611
41 .694444
38.1675
40.431639
37.971667
38.021667
-88.996898
-88.925556
-90.143433
-90.139444
-90.143056
-90.105754
-89.584741
-89.788455
-90.517222
-90.160278
-89.993056
-89.644167
-88.116389
-88.190948
-89.092776
-85.101944
-85.149722
-85.740153
-85.388056
-86.929167
-85.969444
-85.834167
-85.52361 1
-86.132778
-87.484722
-87.440833
-87.304722
-87.405833
-87.426389
-87.342991
-87.407778
-87.474444
-87.508333
-86.891111
-86.730278
-85.68
-86.248784
-86.166496
-86.108848
-86.114469
-86.040556
-86.214628
-86.122053
-87.086944
-87.199167
-86.207778
-86.236667
-86.2875
-86.983333
-86.8525
-87.567222
-87.569444
A74
-------
181630016
181670018
1 81 670023
190130008
1 90450021
1 91 032001
191130037
1 91 370002
191390015
191471002
1 91 530030
191532510
1 91 532520
1 91 550009
1 91 550009
191630015
191630018
191630019
1 91 770006
191930017
1 91 970004
20091 0007
20091 0009
200910010
201 070002
201 730008
201 730009
201730010
201770010
201770011
201 91 0002
202090021
202090022
210130002
210190017
210290006
210370003
210430500
210470006
210590005
210610501
210670012
210670014
210730006
210930006
211010014
211110043
211110044
211110048
211110051
211170007
211250004
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
IN
IN
IN
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
KS
KS
KS
KS
KS
KS
KS
KS
KS
KS
KS
KS
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
Vanderburgh
Vigo
Vigo
Black Hawk
Clinton
Johnson
Linn
Montgomery
Muscatine
Palo Alto
Polk
Polk
Polk
Pottawattamie
Pottawattamie
Scott
Scott
Scott
Van Buren
Woodbury
Wright
Johnson
Johnson
Johnson
Linn
Sedgwick
Sedgwick
Sedgwick
Shawnee
Shawnee
Sumner
Wyandotte
Wyandotte
Bell
Boyd
Bullitt
Campbell
Carter
Christian
Daviess
Edmonson
Fayette
Fayette
Franklin
Hardin
Henderson
Jefferson
Jefferson
Jefferson
Jefferson
Kenton
Laurel
37.974444
39.4861 1 1
39.4561 1 1
42.493056
41 .874972
41 .657361
42.008333
40.971211
41 .400833
43.123333
41.603132
41 .603479
41 .664722
41.264167
41 .2641 67
41.53
41.55
41 .51 7778
40.695078
42.517222
42.695387
38.974444
38.863056
38.83859
38.135833
37.659722
37.651111
37.701111
39.04
39.021389
37.476944
39.1175
39.045833
36.608056
38.459167
37.985556
39.065556
38.238333
36.911667
37.780833
37.131389
38.065
38.038889
38.219361
37.706389
37.871389
38.233222
38.190833
38.240556
38.060833
39.0725
37.087222
-87.532222
-87.401389
-87.370556
-92.343889
-90.177444
-91 .503472
-91 .67861 1
-95.043868
-91 .067778
-94.693333
-93.643234
-93.747821
-93.614167
-95.895833
-95.895833
-90.5875
-90.6
-90.618611
-92.006318
-96.386389
-93.655982
-94.686944
-94.768889
-94.74643
-94.731944
-97.297222
-97.362222
-97.313889
-95.691667
-95.748333
-97.366389
-94.635556
-94.694444
-83.736944
-82.640556
-85.713056
-84.451944
-82.988333
-87.32361 1
-87.075556
-86.148056
-84.5
-84.5075
-84.8385
-85.851667
-87.463333
-85.825278
-85.780556
-85.731667
-85.8961 1 1
-84.525
-84.063333
A75
-------
211451004
211510003
211830032
211930003
211950002
212270007
220171002
220190009
220190010
220290003
220330009
220331001
220470005
220470009
220511001
220511001
22051 2001
22051 2001
22051 81 05
22051 81 06
22051 81 07
220550005
220550006
220710010
220710010
220710012
220710012
22071 81 05
22071 81 06
22071 81 09
220718110
22071 8401
220730004
220758400
220790002
220870004
220870004
2208781 03
220890005
221 038400
221 038401
221 050001
221 090001
221210001
230010011
230030013
230031011
230050015
230050027
2300901 03
230110016
230112002
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
KY
KY
KY
KY
KY
KY
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
LA
ME
ME
ME
ME
ME
ME
ME
ME
McCracken
Madison
Ohio
Perry
Pike
Warren
Caddo
Calcasieu
Calcasieu
Concordia
East Baton Rouge
East Baton Rouge
Iberville
Iberville
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Lafayette
Lafayette
Orleans
Orleans
Orleans
Orleans
Orleans
Orleans
Orleans
Orleans
Orleans
Ouachita
Plaquemines
Rapides
St Bernard
St Bernard
St Bernard
St Charles
St Tammany
St Tammany
Tangipahoa
Terrebonne
West Baton Rouge
Androscoggin
Aroostook
Aroostook
Cumberland
Cumberland
Hancock
Kennebec
Kennebec
37.065556
37.738056
37.319725
37.283056
37.482778
36.993333
32.478333
30.227778
30.177143
31 .574236
30.461111
30.587222
30.217778
30.220556
30.043333
30.043333
29.883056
29.883056
30.020892
29.999264
29.9198
30.2175
30.274833
29.9555
29.9555
29.994444
29.994444
30.016905
30.032329
30.16635
30.0655
29.96249
32.509713
29.88546
31.177638
29.941667
29.941667
29.971443
29.933056
30.31445
30.26588
30.503056
29.678883
30.501944
44.089444
47.355
46.682222
43.678056
43.661944
44.37705
44.31 2222
44.5491 67
-88.637778
-84.285556
-86.956097
-83.220278
-82.535278
-86.418333
-93.765833
-93.578333
-93.214514
-91 .455236
-91.176944
-91 .206944
-91 .060556
-91.316111
-90.275
-90.275
-90.083333
-90.083333
-90.123099
-90.211619
-90.231783
-92.051389
-92.0172
-90.12166
-90.12166
-90.102778
-90.102778
-89.927185
-90.045465
-89.737333
-89.804767
-90.05689
-92.046093
-89.94952
-92.410611
-89.933333
-89.933333
-89.998605
-90.359444
-89.81415
-89.76997
-90.376944
-90.779967
-91 .209722
-70.215
-68.322778
-68.016111
-70.256667
-70.265833
-68.2609
-69.786389
-69.630833
A76
-------
230112006
230172011
230190002
240030014
240031003
240032002
240051007
240053001
240150003
240251001
24031 3001
240330030
240338003
240430009
245100006
245100007
245100008
245100035
245100040
245100049
250035001
250051004
250051004
250092006
250092006
250095005
250095005
250096001
250096001
250130008
250130008
250130016
250132009
250132009
250170009
250230004
250230004
250250002
250250002
250250027
250250027
250250042
250250042
250250043
250270016
250270016
250270023
250270023
260050003
260170014
260210014
260330901
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
ME
ME
ME
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MD
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
Ml
Ml
Ml
Ml
Kennebec
Oxford
Penobscot
Anne Arundel
Anne Arundel
Anne Arundel
Baltimore
Baltimore
Cecil
Harford
Montgomery
Prince Georges
Prince Georges
Washington
Baltimore City
Baltimore City
Baltimore City
Baltimore City
Baltimore City
Baltimore City
Berkshire
Bristol
Bristol
Essex
Essex
Essex
Essex
Essex
Essex
Hampden
Hampden
Hampden
Hampden
Hampden
Middlesex
Plymouth
Plymouth
Suffolk
Suffolk
Suffolk
Suffolk
Suffolk
Suffolk
Suffolk
Worcester
Worcester
Worcester
Worcester
Allegan
Bay
Berrien
Chippewa
44.56817
44.550833
44.798849
38.9025
39.169533
39.159722
39.460833
39.310833
39.701111
39.41
39.114444
39.055277
38.81194
39.565556
39.340556
39.344444
39.28768
39.232778
39.298056
39.261667
42.451667
41 .6857
41 .6857
42.474444
42.474444
42.762778
42.762778
42.69861 1
42.69861 1
42.19446
42.19446
42.108889
42.106
42.106
42.62668
42.079722
42.079722
42.348933
42.348933
42.372928
42.372928
42.329444
42.329444
42.362778
42.259167
42.259167
42.265802
42.265802
42.767778
43.571389
42.197778
46.49361 1
-69.62083
-70.548333
-68.769745
-76.653056
-76.627933
-76.511667
-76.631111
-76.474444
-75.86
-76.296667
-77.106944
-76.878333
-76.74417
-77.721944
-76.582222
-76.685278
-76.547616
-76.579722
-76.604722
-76.6375
-73.255
-71.1698
-71.1698
-70.9725
-70.9725
-71.105833
-71.105833
-71.165833
-71.165833
-72.55571 1
-72.55571 1
-72.591389
-72.597585
-72.597585
-71 .362068
-71.015278
-71.015278
-71 .097733
-71 .097733
-71.063311
-71.063311
-71 .082778
-71 .082778
-71.054167
-71.799167
-71.799167
-71 .794835
-71 .794835
-86.148611
-83.890833
-86.309722
-84.364167
A77
-------
260330902
260330903
260430002
260490021
260650012
26071 0001
260770008
26081 0020
260990009
261130001
261150005
261 21 0040
261 250001
261 390005
261450018
261 470005
261 61 0005
261 61 0008
261 630001
261630015
261630016
261630019
261 630025
261 630033
261 630036
261 630038
261 630039
27021 0001
270370470
270530050
270530961
270530963
270530965
270530968
270531007
270532006
270953051
271 095008
271 230866
271 230868
271 230871
271 377001
271 377550
271 377551
271 390505
271 453052
28001 0004
280110001
280330002
280350004
280450001
280450002
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MS
MS
MS
MS
MS
MS
Chippewa
Chippewa
Dickinson
Genesee
Ingham
Iron
Kalamazoo
Kent
Macomb
Missaukee
Monroe
Muskegon
Oakland
Ottawa
Saginaw
St Clair
Washtenaw
Washtenaw
Wayne
Wayne
Wayne
Wayne
Wayne
Wayne
Wayne
Wayne
Wayne
Cass
Dakota
Hennepin
Hennepin
Hennepin
Hennepin
Hennepin
Hennepin
Hennepin
Mille Lacs
Olmsted
Ramsey
Ramsey
Ramsey
St Louis
St Louis
St Louis
Scott
Stearns
Adams
Bolivar
De Soto
Forrest
Hancock
Hancock
46.481667
46.454
46.139444
43.04722
42.73861 1
46.159883
42.278056
42.984167
42.731389
44.31 0556
41 .763889
43.233056
42.463056
42.894444
43.508333
42.953333
42.293889
42.240556
42.22861 1
42.302778
42.3578
42.430833
42.423055
42.306666
42.18728
42.335
42.323333
47.159942
44.740751
45.001229
44.87753
44.955396
45.004478
44.893005
45.041815
44.950047
46.207026
43.996908
44.899379
44.952442
44.961451
47.523355
46.820199
46.766667
44.791 437
45.549839
31 .560389
33.746056
34.82166
31 .323639
30.230167
30.38
-84.331667
-84.6067
-87.907222
-83.670278
-84.534722
-88.119627
-85.541944
-85.671389
-82.79361 1
-84.891944
-83.471944
-86.23861 1
-83.183333
-85.852778
-83.968056
-82.456389
-83.711111
-83.599722
-83.208333
-83.106667
-83.09617
-83.000278
-83.426389
-83.148889
-83.15404
-83.1097
-83.06861 1
-94.150987
-93.237293
-93.267117
-93.25882
-93.25827
-93.240046
-93.233227
-93.298729
-93.342874
-93.75941 1
-92.450366
-93.017155
-93.098475
-93.035894
-92.536305
-92.08941
-92.133056
-93.512534
-94.13345
-91 .39025
-90.723028
-89.98783
-89.287167
-89.567444
-89.448333
A78
-------
280450003
2804581 04
2804581 05
280458201
280470008
280470008
280470008
2804781 01
2804781 02
2804781 03
280490010
280490018
280590006
280590006
280590006
280670002
280750003
28081 0005
280870001
281 090001
281210001
281 230001
281 490004
290190004
29021 0005
290370003
290390001
290470005
290770032
290950010
290950034
290990012
291 370001
291831002
291 860006
291 890004
291 892003
295100007
295100085
295100086
295100087
300131026
300290009
300290047
30031 0006
30031 0008
300310013
300470013
300470028
300490018
300490019
300530018
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MS
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MO
MT
MT
MT
MT
MT
MT
MT
MT
MT
MT
MT
Hancock
Hancock
Hancock
Hancock
Harrison
Harrison
Harrison
Harrison
Harrison
Harrison
Hinds
Hinds
Jackson
Jackson
Jackson
Jones
Lauderdale
Lee
Lowndes
Pearl River
Rankin
Scott
Warren
Boone
Buchanan
Cass
Cedar
Clay
Greene
Jackson
Jackson
Jefferson
Monroe
St Charles
Ste Genevieve
St Louis
St Louis
St Louis City
St Louis City
St Louis City
St Louis City
Cascade
Flathead
Flathead
Gallatin
Gallatin
Gallatin
Lake
Lake
Lewis And Clark
Lewis And Clark
Lincoln
30.300833
30.26892
30.40966
30.393193
30.390139
30.390139
30.390139
30.373678
30.449005
30.470916
32.385583
32.296806
30.378194
30.378194
30.378194
31 .688444
32.364389
34.26491 7
33.490972
30.5295
32.275528
32.32
32.322833
38.956389
39.741667
38.770278
37.695833
39.303056
37.205278
39.036
39.104722
38.437778
39.473056
38.8725
37.967222
38.5325
38.649722
38.5425
38.6563
38.672222
38.642444
47.502222
48.399722
48.2025
45.726314
45.772778
44.657778
47.526944
47.692222
46.603889
46.954475
48.384167
-89.395916
-89.44933
-89.44114
-89.580378
-89.049722
-89.049722
-89.049722
-89.15513
-89.052683
-88.9827
-90.140917
-90.188306
-88.533944
-88.533944
-88.533944
-89.135056
-88.731444
-88.766222
-88.418528
-89.691056
-90.132528
-89.666667
-90.8871 1 1
-92.321667
-94.858333
-94.58
-94.0375
-94.376389
-93.283333
-94.5741
-94.570556
-90.361389
-91.789167
-90.226389
-90.051111
-90.382778
-90.350556
-90.26361 1
-90.1981
-90.238889
-90.185583
-1 1 1 .27889
-114.33361
-114.30556
-1 1 1 .0673
-111.1775
-1 1 1 .09083
-114.10056
-114.16222
-112.03528
-112.69674
-115.54806
A79
-------
300630021
300630031
30081 0001
30081 0007
300870307
300890007
300930005
301111065
310250002
310550019
310550052
310790004
311090022
311111002
311530007
311570003
311770002
320030022
320030298
320030561
320031019
320032002
320310016
33001 2004
330050007
330070014
330090010
330110020
330111015
330111015
330115001
330131006
330150014
330190003
340011006
340030003
340070003
340070003
340071007
340130015
340155001
340171003
340171003
340172002
34021 0008
34021 8001
340230006
340270004
340273001
340292002
34031 0005
340390004
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
MT
MT
MT
MT
MT
MT
MT
MT
NE
NE
NE
NE
NE
NE
NE
NE
NE
NV
NV
NV
NV
NV
NV
NH
NH
NH
NH
NH
NH
NH
NH
NH
NH
NH
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
Missoula
Missoula
Ravalli
Ravalli
Rosebud
Sanders
Silver Bow
Yellowstone
Cass
Douglas
Douglas
Hall
Lancaster
Lincoln
Sarpy
Scotts Bluff
Washington
Clark
Clark
Clark
Clark
Clark
Washoe
Belknap
Cheshire
Coos
Grafton
Hillsborough
Hillsborough
Hillsborough
Hillsborough
Merrimack
Rockingham
Sullivan
Atlantic
Bergen
Camden
Camden
Camden
Essex
Gloucester
Hudson
Hudson
Hudson
Mercer
Mercer
Middlesex
Morris
Morris
Ocean
Passaic
Union
47.1771
46.874912
46.244444
46.245633
45.623333
47.596389
46.0025
45.801944
40.865556
41 .247222
41 .333056
40.942099
40.81259
41.136111
41.133613
41 .865
41.551136
36.390775
36.052222
36.163994
35.785634
36.191111
39.525083
43.565278
42.930556
44.471 1 1 1
43.62957
43.000556
42.76186
42.76186
42.861901
43.132444
43.075278
43.364444
39.362641
40.851667
39.92304
39.92304
39.98888
40.731944
39.825833
40.72545
40.72545
40.773056
40.222222
40.3124
40.47279
40.803056
40.78763
39.995
40.918611
40.64144
-113.4827
-113.99525
-114.15722
-114.15886
-106.66806
-115.32361
-112.5
-108.42611
-96.146667
-95.975556
-96.099722
-98.364967
-96.68302
-100.76444
-95.955835
-103.66444
-96.146753
-114.90681
-115.05694
-115.11393
-115.35706
-115.12222
-119.80772
-71 .495833
-72.277778
-71.166667
-72.226083
-71 .468056
-71 .44455
-71 .44455
-71.878613
-71 .45827
-70.748056
-72.338333
-74.429345
-73.973333
-75.09762
-75.09762
-75.049167
-74.205278
-75.289444
-74.05229
-74.05229
-74.031944
-74.76361 1
-74.8726
-74.42251
-74.483333
-74.6763
-74.165833
-74.167778
-74.20836
A80
-------
340390004
340390006
340392003
34041 0006
35001 0023
35001 0024
350050005
350130017
350130025
350171002
350250007
350250008
350431003
350439004
35043901 1
350450006
350490020
36001 0005
360050080
360050083
360050110
360130011
360290005
360291007
36031 0003
3604701 22
360551007
360590008
36061 0056
36061 0062
36061 0079
36061 01 28
360632008
360671015
36071 0002
36081 01 24
360850055
360850067
360893001
361 01 0003
361 030001
361191002
37001 0002
37021 0034
370330001
370350004
370350006
370370004
37051 0009
370570002
370570003
370570004
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
NJ
NJ
NJ
NJ
NM
NM
NM
NM
NM
NM
NM
NM
NM
NM
NM
NM
NM
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
Union
Union
Union
Warren
Bernalillo
Bernalillo
Chaves
Dona Ana
Dona Ana
Grant
Lea
Lea
Sandoval
Sandoval
Sandoval
San Juan
Santa Fe
Albany
Bronx
Bronx
Bronx
Chautauqua
Erie
Erie
Essex
Kings
Monroe
Nassau
New York
New York
New York
New York
Niagara
Onondaga
Orange
Queens
Richmond
Richmond
St Lawrence
Steuben
Suffolk
Westchester
Alamance
Buncombe
Caswell
Catawba
Catawba
Chatham
Cumberland
Davidson
Davidson
Davidson
40.641 44
40.673056
40.60607
40.687222
35.13426
35.0631
33.396944
31 .795833
32.321944
32.784444
32.724722
32.726656
35.238056
35.615278
35.5064
36.7275
35.671111
42.6424
40.83608
40.86586
40.81616
42.29073
42.87684
42.82728
44.39309
40.7198
43.146198
40.63102
40.75917
40.72052
40.79937
40.73003
43.08216
43.05238
41 .49947
40.7362
40.63302
40.59733
44.67778
42.09071
40.745833
40.93006
36.089004
35.609722
36.307033
35.728889
35.7278
35.757222
35.041416
35.814444
35.77881
35.84119
-74.20836
-74.213611
-74.27498
-75.181389
-106.58551
-106.57879
-104.52361
-106.5575
-106.76778
-108.27167
-103.12861
-103.12292
-106.64944
-106.72444
-106.7222
-108.22083
-105.95361
-73.75453
-73.92021
-73.88075
-73.90207
-79.58658
-78.80988
-78.84989
-73.85892
-73.94788
-77.54813
-73.73479
-73.96651
-74.00409
-73.93334
-73.98446
-79.00099
-76.0592
-74.00973
-73.82317
-74.13713
-74.12619
-74.94999
-77.21025
-73.420278
-73.76924
-79.407821
-82.350833
-79.467417
-81 .365556
-81 .3425
-79.159722
-78.953112
-80.2625
-80.30236
-80.24452
A81
-------
37061 0002
370630001
370650004
370670022
370670024
370670030
370710016
370810013
370870010
370990006
371 070004
371 1 1 0004
371170001
371190010
371190041
371190042
371210001
371 230001
371 290002
371 330005
371 350007
371 470005
371 550005
371 590021
371 730002
371830014
371 890003
371 91 0005
380070002
380130002
380130003
380150003
380171004
380530002
380570004
390090003
390170003
390170016
390170017
390171004
390230005
390250022
390350027
390350034
390350038
390350045
390350060
390350065
390351002
390490024
390490025
390490081
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
ND
ND
ND
ND
ND
ND
ND
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
Duplin
Durham
Edgecombe
Forsyth
Forsyth
Forsyth
Gaston
Guilford
Haywood
Jackson
Lenoir
Me Dowell
Martin
Mecklenburg
Mecklenburg
Mecklenburg
Mitchell
Montgomery
New Hanover
Onslow
Orange
Pitt
Robe son
Rowan
Swain
Wake
Watauga
Wayne
Billings
Burke
Burke
Burleigh
Cass
McKenzie
Mercer
Athens
Butler
Butler
Butler
Butler
Clark
Clermont
Cuyahoga
Cuyahoga
Cuyahoga
Cuyahoga
Cuyahoga
Cuyahoga
Cuyahoga
Franklin
Franklin
Franklin
34.954823
35.991944
35.93355
36.110556
36.171389
36.026
35.253056
36.109167
35.489167
35.466667
35.231459
35.687404
35.81069
35.225278
35.240278
35.151389
35.915278
35.26
34.364167
34.772828
35.901944
35.594167
34.6425
35.551868
35.435509
35.856111
36.221944
35.369214
46.8943
48.9904
48.876553
46.825425
46.933754
47.5812
47.29861 1
39.4425
39.49361 1
39.338333
39.525
39.53
39.928889
39.082319
41 .4775
41 .555
41 .476944
41.471667
41 .493955
41 .446389
41 .395556
39.998333
39.928056
40.087778
-77.960781
-78.896389
-77.75007
-80.226667
-80.281944
-80.342
-81.153333
-79.801111
-82.9875
-83.278056
-77.568792
-81 .993789
-76.89782
-80.882778
-80.785556
-80.866944
-82.073333
-79.84
-77.83861 1
-77.42796
-79.056667
-77.3861 1 1
-78.990278
-80.395039
-83.443697
-78.574167
-81 .663056
-77.993893
-103.37853
-102.7815
-102.56842
-100.76821
-96.85535
-103.2995
-101.76694
-81.908611
-84.353889
-84.566389
-84.369444
-84.3925
-83.809722
-84.144193
-81 .703056
-81 .575
-81.681944
-81 .657222
-81 .678542
-81.661944
-81.818056
-82.993056
-82.981111
-82.959722
A82
-------
390570005
39061 0006
390610014
39061 0040
39061 0041
39061 0042
39061 0043
39061 7001
39061 8001
390810017
390811001
390851001
390870010
390930016
390933002
390950024
390950025
390950026
390990005
390990014
391 030003
391130031
391130032
391 330002
391351001
391450013
391510017
391 51 0020
391530017
391 530023
391 550007
400159008
400190295
40021 9002
400470554
40071 0602
400719010
40081 9005
4009701 86
400979014
401010169
401 090035
401091037
401159004
401210415
401359015
401430110
401431127
410090004
410190002
410290133
410291001
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OK
OR
OR
OR
OR
Greene
Hamilton
Hamilton
Hamilton
Hamilton
Hamilton
Hamilton
Hamilton
Hamilton
Jefferson
Jefferson
Lake
Lawrence
Lorain
Lorain
Lucas
Lucas
Lucas
Mahoning
Mahoning
Medina
Montgomery
Montgomery
Portage
Preble
Scioto
Stark
Stark
Summit
Summit
Trumbull
Caddo
Carter
Cherokee
Garfield
Kay
Kay
Lincoln
Mayes
Mayes
Muskogee
Oklahoma
Oklahoma
Ottawa
Pittsburg
Sequoyah
Tulsa
Tulsa
Columbia
Douglas
Jackson
Jackson
39.808056
39.278499
39.194167
39.128611
39.185967
39.105
39.290278
39.16
39.180278
40.366104
40.321944
41 .755
38.519722
41 .439444
41 .463056
41 .6441 67
41.661944
41 .620556
41.111111
41 .095868
41.102778
39.759444
39.760278
41.164167
39.835556
38.754167
40.786667
40.800556
41 .063333
41 .088056
41.214167
35.111944
34.166667
35.855
36.420278
36.705328
36.956731
35.6725
36.304624
36.2284
35.755273
35.47292
35.614131
36.922222
34.90227
35.58175
36.14004
36.204902
45.768056
43.22769
42.314078
42.5361 1 1
-83.886944
-84.365974
-84.478889
-84.504167
-84.513719
-84.551 1 1 1
-84.414444
-84.457778
-84.491944
-80.615002
-80.606389
-81 .273056
-82.665556
-82.161667
-82.114444
-83.546667
-83.479444
-83.641389
-80.645278
-80.658426
-81.911667
-84.144444
-84.187778
-81 .235
-84.720833
-82.9175
-81 .394444
-81 .373333
-81 .46861 1
-81.541667
-80.7875
-98.252778
-97.126389
-94.9861 1 1
-97.886944
-97.087656
-97.034369
-96.657222
-95.310616
-95.25
-95.377669
-97.52709
-97.475083
-94.838889
-95.784375
-94.829
-95.925382
-95.976537
-122.77194
-123.3644
-122.87924
-122.875
A83
-------
410294001
410330011
410350004
410390060
410391007
410391009
410392013
410430009
410510080
410510246
410610119
410650007
410670004
410670111
42001 0001
420030008
420030021
420030064
420030067
420030093
420030095
420030116
4200301 33
420031008
420031301
420033007
420039002
420070014
420110009
420170012
420210011
4202701 00
4202901 00
42041 01 01
420430401
420450002
420490003
420692006
42071 0007
420770004
420791101
4208501 00
420910013
420950025
420990301
421 01 0003
421 01 0004
421 01 0004
421 01 0020
421 01 0024
421 01 0024
421 01 0047
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
PA
Jackson
Josephine
Klamath
Lane
Lane
Lane
Lane
Linn
Multnomah
Multnomah
Union
Wasco
Washington
Washington
Adams
Allegheny
Allegheny
Allegheny
Allegheny
Allegheny
Allegheny
Allegheny
Allegheny
Allegheny
Allegheny
Allegheny
Allegheny
Beaver
Berks
Bucks
Cambria
Centre
Chester
Cumberland
Dauphin
Delaware
Erie
Lackawanna
Lancaster
Lehigh
Luzerne
Mercer
Montgomery
Northampton
Perry
Philadelphia
Philadelphia
Philadelphia
Philadelphia
Philadelphia
Philadelphia
Philadelphia
42.426389
42.289722
42.188889
44.026312
43.833898
44.046696
43.744352
44.61 5648
45.496667
45.561301
45.338972
45.602399
45.52853
45.4702
39.92
40.465556
40.413611
40.32361 1
40.381944
40.607222
40.486944
40.47361 1
40.260129
40.618611
40.4025
40.294444
40.546944
40.747778
40.320278
40.107222
40.309722
40.811389
39.834444
40.246528
40.245
39.835556
42.14175
41 .442778
40.046667
40.611944
41 .265556
41.215
40.112222
40.628056
40.456944
39.944167
40.008889
40.008889
40.002222
40.076389
40.076389
39.944722
-122.85083
-123.2325
-121.7225
-123.08374
-123.03498
-123.0177
-122.48052
-123.0916
-122.60222
-122.67878
-117.9048
-121.20335
-122.97244
-122.81585
-77.31
-79.961111
-79.941389
-79.868333
-80.185556
-80.020833
-80.188056
-80.077222
-79.886498
-79.727222
-79.860278
-79.886667
-79.783889
-80.316667
-75.926667
-74.882222
-78.915
-77.877028
-75.76861 1
-77.18675
-76.844722
-75.3725
-80.03861 1
-75.623056
-76.283333
-75.4325
-75.846389
-80.485
-75.309167
-75.341 1 1 1
-77.165556
-75.166111
-75.097778
-75.097778
-75.220278
-75.011944
-75.011944
-75.166111
A84
-------
421010136
421010136
421 250005
421 250200
421 255001
421 290008
421 330008
440030002
440070022
440070026
440070028
440071010
450030003
450130007
450190048
450190049
450250001
450370001
45041 0002
450430009
450450008
450450009
45045001 1
450450012
450450013
450450014
450470003
45051 0002
450630008
450730001
450790007
450790019
450830010
460110002
460130003
460290002
4603301 32
46071 0001
460990006
460990007
461030016
461 030020
461031001
47009001 1
470370023
470370025
470370036
470450004
470650031
470651011
470654002
470930028
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
PA
PA
PA
PA
PA
PA
PA
Rl
Rl
Rl
Rl
Rl
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SD
SD
SD
SD
SD
SD
SD
SD
SD
SD
TN
TN
TN
TN
TN
TN
TN
TN
TN
Philadelphia
Philadelphia
Washington
Washington
Washington
Westmoreland
York
Kent
Providence
Providence
Providence
Providence
Aiken
Beaufort
Charleston
Charleston
Chesterfield
Edgefield
Florence
Georgetown
Greenville
Greenville
Greenville
Greenville
Greenville
Greenville
Greenwood
Horry
Lexington
Oconee
Richland
Richland
Spartanburg
Brookings
Brown
Codington
Custer
Jackson
Minnehaha
Minnehaha
Pennington
Pennington
Pennington
Blount
Davidson
Davidson
Davidson
Dyer
Hamilton
Hamilton
Hamilton
Knox
39.9275
39.9275
40.146667
40.170556
40.445278
40.304694
39.965278
41.6156
41 .807949
41 .874655
41 .80933
41 .84092
33.342226
32.436539
32.980254
32.790984
34.615367
33.741693
34.167636
33.373994
34.838814
34.901046
34.88451 1
34.817197
34.854799
34.843991
34.21 4556
33.702771
34.052805
34.805261
34.093959
33.993299
34.926839
44.31 0283
45.4625
44.89965
43.5578
43.74561
43.544289
43.537626
44.064932
44.087397
44.080295
35.768333
36.176326
36.1
36.118251
36.052778
34.990944
35.233527
35.050928
35.94361 1
-75.222778
-75.222778
-79.902222
-80.261389
-80.420833
-79.505667
-76.699444
-71.7199
-71.415
-71 .379944
-71 .40743
-71 .36094
-81.788731
-80.677854
-80.06501
-79.958694
-80.198787
-81 .853633
-79.850404
-79.285697
-82.402914
-82.31307
-82.359807
-82.418487
-82.380631
-82.401159
-82.173146
-78.877478
-81.15495
-83.2377
-80.962304
-81.024141
-82.00521
-96.80071
-98.4861 1 1
-97.128802
-103.4839
-101.94122
-96.726435
-96.682001
-103.20914
-103.27378
-103.22855
-83.942222
-86.738902
-86.734444
-86.873547
-89.381944
-85.22875
-85.181806
-85.292975
-84.038889
A85
-------
470931017
470931020
470990002
471 0501 08
471071002
471130006
471192007
471251009
471251010
471 41 0001
471 450004
471570014
471 570038
471 570047
471 570047
471571004
471631007
471 650007
480370004
480430002
4804301 01
48061 2002
48061 2004
481130035
481130050
481130057
481130069
481130087
481133004
481 350003
481390015
481390016
481 41 0037
481 41 0044
481 41 0053
481 41 0055
481670014
481 830001
48201 0024
48201 0026
48201 0055
48201 0058
482011034
482011035
482030002
482150042
482150043
482430004
482450021
482450022
482570005
482730314
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
Knox
Knox
Lawrence
Loudon
McMinn
Madison
Maury
Montgomery
Montgomery
Putnam
Roane
Shelby
Shelby
Shelby
Shelby
Shelby
Sullivan
Sumner
Bowie
Brewster
Brewster
Cameron
Cameron
Dallas
Dallas
Dallas
Dallas
Dallas
Dallas
Ector
Ellis
Ellis
El Paso
El Paso
El Paso
El Paso
Galveston
Gregg
Harris
Harris
Harris
Harris
Harris
Harris
Harrison
Hidalgo
Hidalgo
Jeff Davis
Jefferson
Jefferson
Kaufman
Kleberg
35.975
36.01944
35.116111
35.7447
35.451111
35.653651
35.64361 1
36.514444
36.625
36.173611
35.9386
35.085833
35.184167
35.16895
35.16895
35.377222
36.540654
36.297778
33.425757
30.3658
29.3025
26.135172
26.073333
32.916667
32.774167
32.7789
32.819952
32.6766
32.7106
31 .826578
32.436944
32.481944
31 .768274
31 .765673
31.758516
31 .746752
29.263319
32.37871
29.901111
29.8025
29.695736
29.770686
29.767993
29.733713
32.669003
26.309858
26.226238
30.66938
29.922778
29.863951
32.569167
27.42694
-83.954444
-83.87361
-87.47
-84.3174
-84.599167
-88.809084
-87.013056
-87.327778
-87.169167
-85.509444
-84.5438
-89.949444
-89.930278
-90.021567
-90.021567
-89.832222
-82.521667
-86.652778
-94.070807
-103.6491
-103.16782
-97.630039
-97.166667
-96.76861 1
-96.797778
-96.873056
-96.860082
-96.8716
-96.8033
-102.34198
-97.025
-97.0275
-106.5012
-106.45523
-106.50105
-106.40281
-94.856568
-94.711833
-95.326944
-95.12555
-95.499236
-95.031215
-95.220576
-95.257591
-94.167449
-98.183101
-98.291064
-1 04.02463
-93.908889
-94.317757
-96.315833
-97.29861
A86
-------
483030001
483390078
483550032
483550034
483611001
48361 1 1 00
483750005
483750320
484391002
484391006
484393006
484530020
490030003
490037001
490050004
490050005
490050006
490110004
490350003
490350012
490351001
490353006
490353007
490353007
490353008
490450003
490490002
490494001
490495008
490495010
490570002
490570007
490571003
50001 0002
50001 0003
500030004
500070012
500070012
500070014
50021 0002
510130020
510360002
510410003
510590030
510591005
510595001
510870014
510870015
511071005
511390004
515200006
516500004
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
UT
VT
VT
VT
VT
VT
VT
VT
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
VA
Lubbock
Montgomery
Nueces
Nueces
Orange
Orange
Potter
Potter
Tarrant
Tarrant
Tarrant
Travis
Box Elder
Box Elder
Cache
Cache
Cache
Davis
Salt Lake
Salt Lake
Salt Lake
Salt Lake
Salt Lake
Salt Lake
Salt Lake
Tooele
Utah
Utah
Utah
Utah
Weber
Weber
Weber
Addison
Addison
Bennington
Chittenden
Chittenden
Chittenden
Rutland
Arlington
Charles City
Chesterfield
Fairfax
Fairfax
Fairfax
Henrico
Henrico
Loudoun
Page
Bristol City
Hampton City
33.590851
30.3503
27.8044
27.8118
30.084444
30.194167
35.209963
35.201588
32.805
32.758889
32.693056
30.483159
41 .492778
41 .94595
41.731111
41 .8594
41 .63546
40.902967
40.646667
40.8075
40.70861 1
40.736389
40.704444
40.704444
40.517946
40.543371
40.25361 1
40.341389
40.430278
40.136389
41 .206389
41.179722
41 .303683
43.926516
43.867686
42.88759
44.480278
44.480278
44.4762
43.608056
38.8575
37.343294
37.4361 1 1
38.772778
38.837517
38.931944
37.558333
37.670278
39.024444
38.663333
36.607778
37.003333
-1 01 .84759
-95.425135
-97.4317
-97.465633
-93.761667
-93.866944
-101.83192
-101.90924
-97.356389
-97.342222
-97.24861 1
-97.872266
-112.01806
-112.23318
-1 1 1 .8375
-1 1 1 .8952
-111.86819
-1 1 1 .88447
-1 1 1 .84972
-111.92111
-112.09472
-1 1 1 .87222
-1 1 1 .96861
-1 1 1 .96861
-112.02305
-112.29881
-1 1 1 .66306
-111.71361
-1 1 1 .80389
-1 1 1 .65972
-1 1 1 .97472
-1 1 1 .98306
-1 1 1 .98707
-73.384638
-73.356172
-73.24984
-73.214444
-73.214444
-73.2106
-72.982778
-77.059167
-77.260034
-77.450833
-77.105556
-77.163231
-77.198889
-77.400278
-77.5675
-77.49
-78.504722
-82.164444
-76.399167
A87
-------
516800015
517100024
517700014
517750010
518100008
530050002
530070010
530110013
530330024
530330057
530330080
530470009
530530029
53061 0005
530611007
530630016
530630047
540030003
540090005
540090005
540110006
54029001 1
54029001 1
540291004
540291004
540330003
540330003
540390010
54039001 1
54039001 1
540391005
540391005
540490006
540490006
540511002
540511002
540550002
54061 0003
540690010
540690010
54081 0002
54081 0002
540890001
540890001
541071002
541071002
550030010
550090005
550090009
550250047
550250048
550270007
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
VA
VA
VA
VA
VA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
WV
Wl
Wl
Wl
Wl
Wl
Wl
Lynchburg City
Norfolk City
Roanoke City
Salem City
Virginia Beach City
Benton
Chelan
Clark
King
King
King
Okanogan
Pierce
Snohomish
Snohomish
Spokane
Spokane
Berkeley
Brooke
Brooke
Cabell
Hancock
Hancock
Hancock
Hancock
Harrison
Harrison
Kanawha
Kanawha
Kanawha
Kanawha
Kanawha
Marion
Marion
Marshall
Marshall
Mercer
Monongalia
Ohio
Ohio
Raleigh
Raleigh
Summers
Summers
Wood
Wood
Ashland
Brown
Brown
Dane
Dane
Dodge
37.3605
36.857778
37.2561 1 1
37.291944
36.841111
46.218611
47.598863
45.648333
47.755
47.563333
47.570273
48.364267
47.1864
47.8064
48.055556
47.660833
47.701111
39.448006
40.338056
40.338056
38.42451
40.3945
40.3945
40.421 54
40.421 54
39.278056
39.278056
38.34562
38.44861 1
38.44861 1
38.368056
38.368056
39.480833
39.480833
39.91597
39.91597
37.26732
39.649444
40.1147
40.1147
37.80794
37.80794
37.773056
37.773056
39.32366
39.32366
46.61455
44.516667
44.52361 1
43.073333
43.093
43.435
-79.1883
-76.301667
-79.985
-80.056944
-76.181389
-119.20556
-120.6647
-122.58694
-122.2806
-122.3406
-122.3086
-120.12112
-122.4517
-122.3167
-122.1758
-117.35722
-117.425
-77.964125
-80.597222
-80.597222
-82.425323
-80.612034
-80.612034
-80.580898
-80.580898
-80.3425
-80.3425
-81 .628422
-81 .683889
-81 .683889
-81.693611
-81.693611
-80.135278
-80.135278
-80.734057
-80.734057
-81 .235857
-79.921111
-80.70089
-80.70089
-81.197461
-81.197461
-80.706667
-80.706667
-81.552196
-81.552196
-90.69868
-87.993889
-88.001 1 1 1
-89.435833
-89.34005
-88.527778
A88
-------
55041 0007
55041 0007
550430009
550590019
550630012
55071 0007
550790010
550790026
550790043
550790059
550790099
550870009
550890009
551091002
551 1 1 0007
551198001
551 250001
551 250001
551 330027
551 350004
560050877
560050892
560050899
560090819
560131003
56021 0001
560330001
560330002
560330003
560350705
560390006
72001 0002
72021 0009
720530003
720570008
720590016
72061 0005
720690001
720970003
721130004
721 270003
780100012
780300009
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
WY
WY
WY
WY
WY
WY
WY
WY
WY
WY
WY
PR
PR
PR
PR
PR
PR
PR
PR
PR
PR
VI
VI
Forest
Forest
Grant
Kenosha
La Crosse
Manitowoc
Milwaukee
Milwaukee
Milwaukee
Milwaukee
Milwaukee
Outagamie
Ozaukee
St Croix
Sauk
Taylor
Vilas
Vilas
Waukesha
Waupaca
Campbell
Campbell
Campbell
Converse
Fremont
La ramie
Sheridan
Sheridan
Sheridan
Sublette
Teton
Adjuntas
Bayamon
Fajardo
Guyama
Guyanilla
Guaynabo
Humacao
Mayaguez
Ponce
San Juan
45.56498
45.56498
42.69215
42.504722
43.778
44.138611
43.016667
43.061111
43.02641
42.955
43.039722
44.306944
43.498056
45.124444
43.435556
45.203889
46.048056
46.048056
43.020278
44.35288
43.676944
44.098889
44.471944
43.426667
42.841 1 1 1
41.14
44.797222
44.833333
44.805556
42.8706
43.480833
18.174712
18.399167
18.383333
17.957222
18.044444
18.439444
18.152778
18.209722
18.008889
18.449167
17.714444
18.345278
-88.80859
-88.80859
-90.68637
-87.8093
-91.225
-87.616111
-87.933333
-87.9125
-87.91111
-87.934167
-87.920556
-88.395556
-87.81
-92.6625
-89.680278
-90.6
-89.65361 1
-89.65361 1
-88.215
-89.05083
-105.23583
-105.34278
-105.55583
-105.38583
-108.73556
-104.81722
-106.94917
-106.96389
-106.97556
-109.8602
-110.76528
-66.726516
-66.171667
-65.619444
-66.165556
-66.802778
-66.115
-65.829167
-67.146389
-66.627778
-66.053056
-64.785278
-64.923333
(N. B.: State abbreviations PR and VI refer to Puerto Rico and the Virgin Islands, respectively
A89
-------
A90
-------
Appendix B
Table B1. Acceptable SC Geographic Information for 2004
Table B2. Atmospheric SC Geographic Information for 2004
Table B3. Raw SC Geographic Information for 2004
Table B4. Acceptable SC Geographic Information for 2005
Table B5. Atmospheric SC Geographic Information for 2005
Table B6. Raw SC Geographic Information for 2005
Table B7. Acceptable SC Geographic Information for 2006
Table B8. Atmospheric SC Geographic Information for 2006
Table B9. Raw SC Geographic Information for 2006
Table B10. Acceptable SC Geographic Information for 2007
Table B11. Atmospheric SC Geographic Information for 2007
Table B12. Raw SC Geographic Information for 2007
-------
B2
-------
Table B1. Acceptable SC Geographic Information for 2004
AQSJD
01 0730023
01 0731 005
01 0731 009
010731010
01 0732003
01 0732006
01 0735002
01 0735003
060010007
060750005
060811001
060850005
060950004
110010043
120330004
130210012
130210012
130511002
130511002
130590002
130770002
130890002
131350002
131510002
132150008
132230003
132450091
160010011
160010011
160090011
160150001
160150001
160150002
160150002
160270004
160270004
160490002
160490002
160550006
160550006
160550014
160550014
160570005
160690012
160770011
160790017
160790017
160790017
160830010
SC_Method
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/Correction Factor-TEOM Gravimetric
PM2.5 VSCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
State
AL
AL
AL
AL
AL
AL
AL
AL
CA
CA
CA
CA
CA
DC
FL
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
County
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Alameda
San Francisco
San Mateo
Santa Clara
Solano
District Of Columbia
Escambia
Bibb
Bibb
Chatham
Chatham
Clarke
Coweta
De Kalb
Gwinnett
Henry
Muscogee
Paulding
Richmond
Ada
Ada
Benewah
Boise
Boise
Boise
Boise
Canyon
Canyon
Idaho
Idaho
Kootenai
Kootenai
Kootenai
Kootenai
Latah
Nez Perce
Power
Shoshone
Shoshone
Shoshone
Twin Falls
Latitude
33.553056
33.331111
33.459722
33.545278
33.499722
33.386389
33.704722
33.801667
37.6875
37.766
37.4829
37.3485
38.1027
38.918889
30.525
32.805244
32.805244
32.090278
32.090278
33.917925
33.403835
33.688007
33.963074
33.433426
32.521099
33.92855
33.433883
43.6361 1 1
43.6361 1 1
47.338702
43.823017
43.823017
44.104498
44.104498
43.562401
43.562401
45.931389
45.931389
47.682315
47.682315
47.721597
47.721597
46.721932
46.404722
42.9125
47.536389
47.536389
47.536389
42.564097
Longitude
-86.815
-87.00361 1
-87.305556
-86.549167
-86.924167
-86.816667
-86.669167
-86.9425
-1 21 .7842
-122.3991
-122.2034
-121.895
-122.2382
-77.0125
-87.204167
-83.543628
-83.543628
-81.130556
-81.130556
-83.344512
-84.746028
-84.290325
-84.069193
-84.161797
-84.944695
-85.04548
-82.022414
-116.27028
-116.27028
-116.88461
-115.83856
-115.83856
-115.97239
-115.97239
-116.56323
-116.56323
-116.11528
-116.11528
-116.76553
-116.76553
-116.92615
-116.92615
-116.95918
-116.96889
-112.53556
-116.23667
-116.23667
-116.23667
-114.4462
B3
-------
160830010
160850001
160850001
180030004
180890022
180970078
180970078
181630012
2201 50008
220190008
22033001 3
220511001
220570004
220630002
220710012
221210001
2451 00040
250051 004
250095005
2501 3001 6
250213003
250250042
250250043
250270023
270031 002
2701 7741 6
270370470
270530963
271095008
271230871
271377551
271453052
271713201
280110001
280470008
28049001 8
280810005
300310013
3501 3001 6
3501 3001 7
350130021
3501 30022
3501 51 005
350250008
350490020
350550005
370210034
410030013
410050004
410090004
410170120
410250002
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
ID
ID
ID
IN
IN
IN
IN
IN
LA
LA
LA
LA
LA
LA
LA
LA
MD
MA
MA
MA
MA
MA
MA
MA
MN
MN
MN
MN
MN
MN
MN
MN
MN
MS
MS
MS
MS
MT
NM
NM
NM
NM
NM
NM
NM
NM
NC
OR
OR
OR
OR
OR
Twin Falls
Valley
Valley
Allen
Lake
Marion
Marion
Vanderburgh
Bossier
Calcasieu
East Baton Rouge
Jefferson
Lafourche
Livingston
Orleans
West Baton Rouge
Baltimore City
Bristol
Essex
Hampden
Norfolk
Suffolk
Suffolk
Worcester
Anoka
Carlton
Dakota
Hennepin
Olmsted
Ramsey
St Louis
Stearns
Wright
Bolivar
Harrison
Hinds
Lee
Gallatin
Dona Ana
Dona Ana
Dona Ana
Dona Ana
Eddy
Lea
Santa Fe
Taos
Buncombe
Benton
Clackamas
Columbia
Deschutes
Harney
42.564097
44.899318
44.899318
41 .094722
41 .606667
39.811097
39.811097
38.021667
32.534167
30.261667
30.700278
30.043333
29.763889
30.3125
29.994444
30.501944
39.298056
41 .6857
42.762778
42.108889
42.21222
42.329444
42.362778
42.265802
45.13975
46.705241
44.740751
44.955396
43.996908
44.961451
46.766667
45.549839
45.211038
33.746056
30.390139
32.296806
34.264917
44.657778
32.00361 1
31 .795833
31.796111
31 .787778
32.38
32.726656
35.671111
36.383333
35.609722
44.588322
45.259722
45.768056
44.063904
43.586389
-114.4462
-116.09391
-116.09391
-85.101944
-87.304722
-86.114469
-86.114469
-87.569444
-93.749722
-93.284167
-91 .055833
-90.275
-90.765183
-90.8125
-90.102778
-91 .209722
-76.604722
-71.1698
-71.105833
-72.591389
-71.11472
-71 .082778
-71.054167
-71 .794835
-93.207616
-92.523606
-93.237293
-93.25827
-92.450366
-93.035894
-92.133056
-94.13345
-93.669012
-90.723028
-89.049722
-90.188306
-88.766222
-1 1 1 .09083
-106.59917
-106.5575
-106.58389
-106.68278
-104.26222
-103.12292
-105.95361
-105.58333
-82.350833
-123.27417
-122.5875
-122.77194
-121.31258
-119.05111
B4
-------
410290133
410294001
410330114
410350004
410370001
410390060
410391009
410392013
410430009
410470040
410470041
410510080
410510246
410590121
410610119
410650007
410670111
410671003
470370023
471570024
471570038
530010003
530050002
530050002
530070006
530070006
530090009
530110013
530110013
530130001
5301 5001 5
530210002
530251002
53027001 1
530272002
53031 0003
53033001 7
53033001 7
53033001 7
530330023
530330024
530330024
530330024
530330027
530330037
530330048
530330057
530330057
530330057
530330080
530330080
530330080
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
TN
TN
TN
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
Jackson
Jackson
Josephine
Klamath
Lake
Lane
Lane
Lane
Linn
Marion
Marion
Multnomah
Multnomah
Umatilla
Union
Wasco
Washington
Washington
Davidson
Shelby
Shelby
Adams
Benton
Benton
Chelan
Chelan
Clallam
Clark
Clark
Columbia
Cowlitz
Franklin
Grant
Grays Harbor
Grays Harbor
Jefferson
King
King
King
King
King
King
King
King
King
King
King
King
King
King
King
King
42.314078
42.426389
42.434139
42.188889
42.188889
44.026312
44.046696
43.744352
44.615648
44.943231
44.9431 4
45.496667
45.561301
45.651944
45.338972
45.602399
45.4702
45.518294
36.176326
35.150833
35.184167
47.128611
46.218611
46.218611
47.412222
47.412222
48.116389
45.648333
45.648333
46.531521
46.139444
46.575597
47.130336
47.343709
46.972696
48.129444
47.489722
47.489722
47.489722
47.141111
47.755
47.755
47.755
47.795
47.613056
47.6153
47.563333
47.563333
47.563333
47.570273
47.570273
47.570273
-122.87924
-122.85083
-123.34849
-121.7225
-120.35194
-123.08374
-123.0177
-122.48052
-123.0916
-123.006
-123.00591
-122.60222
-122.67878
-118.81861
-117.9048
-121.20335
-122.81585
-122.96705
-86.738902
-90.041389
-89.930278
-118.38194
-119.20556
-119.20556
-120.31833
-120.31833
-123.46444
-122.58694
-122.58694
-118.21667
-122.96194
-119.00071
-119.2726
-1 24.28692
-123.83047
-122.77944
-121.77333
-121.77333
-121.77333
-121.93306
-122.2806
-122.2806
-122.2806
-122.12944
-122.20167
-122.32972
-122.3406
-122.3406
-122.3406
-122.3086
-122.3086
-122.3086
B5
-------
530331 01 1
530332004
530332004
530332004
530370002
530450004
530470009
53047001 0
530530029
530530029
530530029
530530031
530530031
530530031
530531 01 8
530531 020
530610005
530610005
530610005
530611007
530611007
530611007
53063001 6
53063001 6
53063001 6
53063001 6
530630047
530650004
53067001 3
53067001 3
53067001 3
53067001 3
530710005
53073001 5
530750003
530750005
530750006
530770009
551330027
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 WINS w/Correction Factor-TEOM Gravimetric
PM2.5 WINS w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 WINS w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
Wl
King
King
King
King
Kittitas
Mason
Okanogan
Okanogan
Pierce
Pierce
Pierce
Pierce
Pierce
Pierce
Pierce
Pierce
Snohomish
Snohomish
Snohomish
Snohomish
Snohomish
Snohomish
Spokane
Spokane
Spokane
Spokane
Spokane
Stevens
Thurston
Thurston
Thurston
Thurston
Walla Walla
Whatcom
Whitman
Whitman
Whitman
Yakima
Waukesha
47.5297
47.3861 1 1
47.3861 1 1
47.3861 1 1
46.9961 1 1
47.227833
48.364267
48.477198
47.1864
47.1864
47.1864
47.2656
47.2656
47.2656
47.140556
47.211
47.8064
47.8064
47.8064
48.055556
48.055556
48.055556
47.660833
47.660833
47.660833
47.660833
47.701111
48.544722
47.028889
47.028889
47.028889
47.028889
46.060833
48.762778
46.724722
46.81728
47.233063
46.59678
43.020278
-122.3203
-122.2319
-122.2319
-122.2319
-120.54528
-123.11456
-120.12112
-120.19056
-122.4517
-122.4517
-122.4517
-122.3858
-122.3858
-122.3858
-122.3003
-122.357
-122.3167
-122.3167
-122.3167
-122.1758
-122.1758
-122.1758
-117.35722
-117.35722
-117.35722
-117.35722
-117.425
-117.90361
-122.82083
-122.82083
-122.82083
-122.82083
-118.34833
-122.44028
-117.17944
-117.87403
-117.36908
-120.51222
-88.215
B6
-------
Table B2. Atmospheric SC Geographic Information for 2004
AQSJD
080131001
080310002
080350004
191130037
202090021
260050003
260490021
26065001 2
260770008
260810020
261130001
261450018
261470005
261610008
261630001
261630033
290390001
291860005
291893001
3301 5001 4
390490029
390810017
391530017
42007001 4
420110009
420710007
420910013
421330008
450450008
500030004
50007001 4
500210002
550090005
550270007
550270007
55059001 9
550710007
550790026
550790059
550890009
551091002
551110007
551198001
551330027
SC_Method
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
State
CO
CO
CO
IA
KS
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
MO
MO
MO
NH
OH
OH
OH
PA
PA
PA
PA
PA
SC
VT
VT
VT
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
County
Boulder
Denver
Douglas
Linn
Wyandotte
Allegan
Genesee
Ingham
Kalamazoo
Kent
Missaukee
Saginaw
St Clair
Washtenaw
Wayne
Wayne
Cedar
Ste Genevieve
St Louis
Rockingham
Franklin
Jefferson
Summit
Beaver
Berks
Lancaster
Montgomery
York
Greenville
Bennington
Chittenden
Rutland
Brown
Dodge
Dodge
Kenosha
Manitowoc
Milwaukee
Milwaukee
Ozaukee
St Croix
Sauk
Taylor
Waukesha
Latitude
40.01297
39.751185
39.53448
42.008333
39.1175
42.767778
43.04722
42.73861 1
42.278056
42.984167
44.310556
43.508333
42.953333
42.240556
42.22861 1
42.306666
37.695833
37.896944
38.641389
43.075278
40.086667
40.366104
41 .063333
40.747778
40.320278
40.046667
40.112222
39.965278
34.838814
42.88759
44.4762
43.608056
44.51 6667
43.435
43.435
42.504722
44.138611
43.061111
42.955
43.498056
45.124444
43.435556
45.203889
43.020278
Longitude
-105.26719
-1 04.98762
-105.07035
-91.678611
-94.635556
-86.148611
-83.670278
-84.534722
-85.541944
-85.671389
-84.891944
-83.968056
-82.456389
-83.599722
-83.208333
-83.148889
-94.0375
-90.422222
-90.345833
-70.748056
-82.815556
-80.615002
-81 .46861 1
-80.316667
-75.926667
-76.283333
-75.309167
-76.699444
-82.402914
-73.24984
-73.2106
-72.982778
-87.993889
-88.527778
-88.527778
-87.8093
-87.616111
-87.9125
-87.934167
-87.81
-92.6625
-89.680278
-90.6
-88.215
B7
-------
Table B3. Raw SC Geographic Information for 2004
AQSJD
010890014
010970003
011190002
040191030
040191032
040191034
040191113
060070002
060074001
060111002
060170011
060172003
060190008
06021 0002
060250005
060250006
060290014
06041 0003
060431001
06061 0006
06061 0007
060631009
060670006
060670010
06067001 1
060670012
060990005
061 01 0003
061 072002
061110010
061 1 1 2002
061130004
080010006
08001 0006
08001 0006
080310013
080310013
080310013
080350004
081 230006
081 230006
081 230006
090010010
090031018
090032006
090050005
090090027
090091123
0900921 23
SC_Method
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
AUTOMATED WINS 2.5UM IMPACTOR-TEOM-GRAVIMETRIC
AUTOMATED WINS 2.5UM IMPACTOR-TEOM-GRAVIMETRIC
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
State
AL
AL
AL
AZ
AZ
AZ
AZ
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CO
CO
CO
CO
CO
CO
CO
CO
CO
CO
CT
CT
CT
CT
CT
CT
CT
County
Madison
Mobile
Sumter
Pima
Pima
Pima
Pima
Butte
Butte
Colusa
El Dorado
El Dorado
Fresno
Glenn
Imperial
Imperial
Kern
Marin
Mariposa
Placer
Placer
Plumas
Sacramento
Sacramento
Sacramento
Sacramento
Stanislaus
Sutler
Tula re
Ventura
Ventura
Yolo
Adams
Adams
Adams
Denver
Denver
Denver
Douglas
Weld
Weld
Weld
Fairfield
Hartford
Hartford
Litchfield
New Haven
New Haven
New Haven
Latitude
34.68767
30.769722
32.363889
31 .87952
32.17295
32.38082
32.2518
39.7575
39.321667
39.203056
38.945
38.84222
36.781389
39.517778
32.676111
32.677778
35.356111
38.126944
37.745833
38.745833
39.184166
39.808333
38.614167
38.558333
38.301944
38.683889
37.641667
39.138889
36.332222
33.2569
34.2775
38.533333
39.825739
39.825739
39.825739
39.73858
39.73858
39.73858
39.53448
40.414722
40.414722
40.414722
41.170833
41 .760833
41 .7425
41.821389
41.301111
41.310833
41 .550556
Longitude
-86.58637
-88.0875
-88.201 944
-110.99644
-110.98005
-111.12716
-110.9653
-1 21 .84222
-121.66861
-122.01667
-119.96889
-120.4066
-119.77222
-122.19028
-115.48333
-115.38972
-119.04028
-122.91389
-119.60278
-121.26528
-120.12195
-120.47167
-121.36694
-121.49194
-121.42222
-121.16278
-120.99361
-121.6175
-119.29028
-119.4869
-118.68472
-121.775
-1 04.93699
-1 04.93699
-1 04.93699
-1 04.93996
-1 04.93996
-1 04.93996
-105.07035
-104.70611
-104.70611
-104.70611
-73.194722
-72.670833
-72.634444
-73.297222
-72.902778
-72.916944
-73.04361 1
B8
-------
1 0001 0002
1 00032004
120111002
1 2031 0098
1 2031 01 00
1 20570030
120571065
1 20574004
1 20690001
1 20690003
120730012
120731005
120861016
1 20866001
1 20952002
120991004
121030018
160010011
160050015
160050015
160050015
160150001
160150002
160170005
160170005
160190013
160190013
160190013
1 60270004
1 60270007
1 60290003
1 60290003
1 60290003
1 60390002
1 60450001
1 60490002
1 60490003
160550014
1 60570005
1 60590004
1 60590004
1 60590004
160690012
160690013
160690014
160790017
160830010
1 60850001
1 7031 0001
1 7031 0022
1 7031 0057
1 7031 0076
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 WINS-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
DE
DE
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
IL
IL
IL
IL
Kent
New Castle
Broward
Duval
Duval
Hillsborough
Hillsborough
Hillsborough
Lake
Lake
Leon
Leon
Miami-Dade
Miami-Dade
Orange
Palm Beach
Pinellas
Ada
Bannock
Bannock
Bannock
Boise
Boise
Bonner
Bonner
Bonneville
Bonneville
Bonneville
Canyon
Canyon
Caribou
Caribou
Caribou
Elmore
Gem
Idaho
Idaho
Kootenai
Latah
Lemhi
Lemhi
Lemhi
Nez Perce
Nez Perce
Nez Perce
Shoshone
Twin Falls
Valley
Cook
Cook
Cook
Cook
38.984722
39.739444
26.082778
30.135556
30.261
27.931944
27.892222
27.9925
29.107778
29.014
30.439722
30.266944
25.794167
25.471389
28.599444
26.693056
27.785556
43.6361 1 1
42.876725
42.876725
42.876725
43.823017
44.104498
48.2675
48.2675
43.518267
43.518267
43.518267
43.562401
43.705583
42.661298
42.661298
42.661298
43.15175
43.856442
45.931389
46.2094
47.721597
46.721932
45.170556
45.170556
45.170556
46.404722
46.3972
46.335
47.536389
42.564097
44.899318
41 .672745
41.689195
41.914733
41.751369
-75.555556
-75.558056
-80.237778
-81.634167
-81 .454
-82.509722
-82.53861 1
-82.125833
-81 .633056
-81.64119
-84.348333
-84.428333
-80.2061 1 1
-80.483333
-81 .363056
-80.099444
-82.74
-116.27028
-112.46035
-112.46035
-112.46035
-115.83856
-115.97239
-116.57222
-116.57222
-112.02071
-112.02071
-112.02071
-116.56323
-116.6232
-111.59144
-111.59144
-111.59144
-115.71014
-116.51546
-116.11528
-116.0275
-116.92615
-116.95918
-113.89222
-113.89222
-113.89222
-116.96889
-116.8062
-116.5359
-116.23667
-114.4462
-116.09391
-87.732457
-87.539318
-87.722725
-87.713745
B9
-------
1 7031 4007
170314101
1 7031 6006
1 70434002
171150013
171630010
1 80030004
180431004
1 80892004
1 80970078
1 80970078
1 81 270024
181411008
181630012
181670018
190330018
190330018
190450019
190450019
191130037
1 91 370002
1 91 370002
191471002
191471002
1 91 530030
191630015
191630015
191630019
191630019
1 91 770005
1 91 770005
1 91 770006
201 070002
201 950001
211110027
211110043
211110048
211110051
230010011
230050027
2300901 03
230190002
240230002
245100040
260650012
26081 0020
261130001
261470005
261 530001
261 61 0008
261 630001
261 630033
Met-One BAM W/PM2.5 SCO-Beta Attenuation
Met-One BAM W/PM2.5 SCO-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
IL
IL
IL
IL
IL
IL
IN
IN
IN
IN
IN
IN
IN
IN
IN
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
KS
KS
KY
KY
KY
KY
ME
ME
ME
ME
MD
MD
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Cook
Cook
Cook
Du Page
Macon
St Clair
Allen
Floyd
Lake
Marion
Marion
Porter
St Joseph
Vanderburgh
Vigo
Cerro Gordo
Cerro Gordo
Clinton
Clinton
Linn
Montgomery
Montgomery
Palo Alto
Palo Alto
Polk
Scott
Scott
Scott
Scott
Van Buren
Van Buren
Van Buren
Linn
Trego
Jefferson
Jefferson
Jefferson
Jefferson
Androscoggin
Cumberland
Hancock
Penobscot
Garrett
Baltimore City
Ingham
Kent
Missaukee
St Clair
Schoolcraft
Washtenaw
Wayne
Wayne
42.060278
42.053333
41 .874944
41.771195
39.866944
38.612222
41 .094722
38.308056
41 .585278
39.811097
39.811097
41.6175
41 .69361 1
38.021667
39.4861 1 1
43.169444
43.169444
41 .823056
41 .823056
42.008333
40.971211
40.971211
43.123333
43.123333
41.603132
41.53
41.53
41.517778
41.517778
40.689167
40.689167
40.695078
38.135833
38.770278
38.137222
38.233222
38.240556
38.060833
44.089444
43.661944
44.37705
44.798849
39.705916
39.298056
42.73861 1
42.984167
44.310556
42.953333
46.28888
42.240556
42.22861 1
42.306666
-87.863333
-88.108056
-87.825876
-88.152502
-88.925556
-90.160278
-85.101944
-85.834167
-87.474444
-86.114469
-86.114469
-87.199167
-86.236667
-87.569444
-87.401389
-93.202222
-93.202222
-90.211944
-90.211944
-91 .67861 1
-95.043868
-95.043868
-94.693333
-94.693333
-93.643234
-90.5875
-90.5875
-90.618611
-90.618611
-91 .994444
-91 .994444
-92.006318
-94.731 944
-99.76361 1
-85.578333
-85.825278
-85.731667
-85.8961 1 1
-70.215
-70.265833
-68.2609
-68.769745
-79.012028
-76.604722
-84.534722
-85.671389
-84.891 944
-82.456389
-85.95027
-83.599722
-83.208333
-83.148889
BIO
-------
2951 00085
330074002
330090008
330110020
330115001
340030004
340070003
340230006
340390004
350010019
350010019
35001 0027
35001 0029
350011013
350015010
350439004
36001 0005
360050110
360050112
360050113
360290005
36031 0003
360470052
360470118
3604701 21
360551007
360556001
360590005
360610062
360610115
360610117
360610119
360610125
360632008
360632008
360652001
360710002
360810120
360810124
360810124
3608501 1 1
360850114
361 030009
361030010
361192004
37021 0034
370350004
37051 0009
370570002
370570003
370670022
370810013
PM2.5 WINS w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
AUTOMATED WINS 2.5UM IMPACTOR-TEOM-GRAVIMETRIC
AUTOMATED WINS 2.5UM IMPACTOR-TEOM-GRAVIMETRIC
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
MO
NH
NH
NH
NH
NJ
NJ
NJ
NJ
NM
NM
NM
NM
NM
NM
NM
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NC
NC
NC
NC
NC
NC
NC
St Louis City
Coos
Grafton
Hillsborough
Hillsborough
Bergen
Camden
Middlesex
Union
Bernalillo
Bernalillo
Bernalillo
Bernalillo
Bernalillo
Bernalillo
Sandoval
Albany
Bronx
Bronx
Bronx
Erie
Essex
Kings
Kings
Kings
Monroe
Monroe
Nassau
New York
New York
New York
New York
New York
Niagara
Niagara
Oneida
Orange
Queens
Queens
Queens
Richmond
Richmond
Suffolk
Suffolk
Westchester
Buncombe
Catawba
Cumberland
Davidson
Davidson
Forsyth
Guilford
38.6563
44.290556
44.083889
43.000556
42.861901
40.85435
39.92304
40.47279
40.64144
35.10728
35.10728
35.1539
35.01708
35.19324
35.035933
35.615278
42.6424
40.81616
40.81564
40.80838
42.87684
44.39309
40.64154
40.69457
40.68577
43.146198
43.161
40.7432
40.72052
40.8489
40.72333
40.81148
40.71163
43.08216
43.08216
43.0994
41 .49947
40.72695
40.7362
40.7362
40.57997
40.63136
40.8275
40.82686
41 .052
35.609722
35.728889
35.041416
35.814444
35.77881
36.110556
36.109167
-90.1981
-71 .225
-72.01
-71 .468056
-71.878613
-73.96825
-75.09762
-74.42251
-74.20836
-106.56359
-106.56359
-106.69715
-106.65735
-106.61382
-106.39008
-106.72444
-73.75453
-73.90207
-73.8851
-73.92604
-78.80988
-73.85892
-74.01835
-73.92778
-73.99243
-77.54813
-77.60357
-73.58543
-74.00409
-73.93068
-73.98231
-73.95316
-74.00514
-79.00099
-79.00099
-75.22519
-74.00973
-73.89314
-73.82317
-73.82317
-74.19872
-74.15717
-73.05694
-73.05734
-73.76398
-82.350833
-81 .365556
-78.953112
-80.2625
-80.30236
-80.226667
-79.801 1 1 1
Bll
-------
371 1 1 0004
371170001
371190041
371190042
371 290002
371 730002
371830014
380070002
380070002
380130002
380130002
380130004
380130004
380171004
380171004
380250003
380530002
380530002
380570004
380570004
380650002
380650002
3901 71 004
390490028
390490029
390610040
390933002
390950024
39099001 4
391130031
391130032
391351001
391 51 0020
391530017
400190297
400270049
40031 0647
400979014
401091037
401159005
401431127
42001 0001
420030008
420030064
420050001
420210011
420430401
420950025
420958000
450070003
450070003
450190046
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
NC
NC
NC
NC
NC
NC
NC
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OK
OK
OK
OK
OK
OK
OK
PA
PA
PA
PA
PA
PA
PA
PA
SC
SC
SC
Me Dowell
Martin
Mecklenburg
Mecklenburg
New Hanover
Swain
Wake
Billings
Billings
Burke
Burke
Burke
Burke
Cass
Cass
Dunn
McKenzie
McKenzie
Mercer
Mercer
Oliver
Oliver
Butler
Franklin
Franklin
Hamilton
Lorain
Lucas
Mahoning
Montgomery
Montgomery
Preble
Stark
Summit
Carter
Cleveland
Comanche
Mayes
Oklahoma
Ottawa
Tulsa
Adams
Allegheny
Allegheny
Armstrong
Cambria
Dauphin
Northampton
Northampton
Anderson
Anderson
Charleston
35.687404
35.81069
35.240278
35.151389
34.364167
35.435509
35.856111
46.8943
46.8943
48.9904
48.9904
48.64193
48.64193
46.933754
46.933754
47.3132
47.5812
47.5812
47.29861 1
47.29861 1
47.185833
47.185833
39.53
39.914167
40.086667
39.128611
41 .463056
41.644167
41 .095868
39.759444
39.760278
39.835556
40.800556
41 .063333
34.2571 25
35.320105
34.626418
36.2284
35.614131
36.9858
36.204902
39.92
40.465556
40.32361 1
40.814167
40.309722
40.245
40.628056
40.692224
34.776927
34.776927
32.941023
-81 .993789
-76.89782
-80.785556
-80.866944
-77.83861 1
-83.443697
-78.574167
-103.37853
-103.37853
-102.7815
-102.7815
-102.4018
-102.4018
-96.85535
-96.85535
-102.5273
-103.2995
-103.2995
-101.76694
-101.76694
-101.42806
-101.42806
-84.3925
-82.957222
-82.815556
-84.504167
-82.114444
-83.546667
-80.658426
-84.144444
-84.187778
-84.720833
-81 .373333
-81 .46861 1
-97.474341
-97.484099
-98.383173
-95.25
-97.475083
-94.8492
-95.976537
-77.31
-79.961 1 1 1
-79.868333
-79.565
-78.915
-76.844722
-75.341 1 1 1
-75.237156
-82.490386
-82.490386
-79.657187
B12
-------
450190046
450250001
450250001
450290002
450370001
450450008
450450008
450450009
450730001
450770002
450790018
450790018
461 030020
4700901 01
470654002
470931013
470990002
471 650007
480290053
480290055
480290059
48061 0006
481130069
481133003
481 21 0034
481 350003
481351014
481390015
481390017
481 41 0037
481 41 0053
481670014
48201 0024
48201 0026
482011034
482011035
482011039
482011042
482011050
482030002
482150043
482450020
482450021
482450022
482570005
482730314
483030001
483390078
483550025
483611100
483750005
484391 006
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SD
TN
TN
TN
TN
TN
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
Charleston
Chesterfield
Chesterfield
Colleton
Edgefield
Greenville
Greenville
Greenville
Oconee
Pickens
Richland
Richland
Pennington
Blount
Hamilton
Knox
Lawrence
Sumner
Bexar
Bexar
Bexar
Cameron
Dallas
Dallas
Denton
Ector
Ector
Ellis
Ellis
El Paso
El Paso
Galveston
Harris
Harris
Harris
Harris
Harris
Harris
Harris
Harrison
Hidalgo
Jefferson
Jefferson
Jefferson
Kaufman
Kleberg
Lubbock
Montgomery
Nueces
Orange
Potter
Tarrant
32.941023
34.615367
34.615367
33.009562
33.741693
34.838814
34.838814
34.901 046
34.805261
34.655221
33.984002
33.984002
44.087397
35.631389
35.050928
35.98055
35.116111
36.297778
29.58773
29.407222
29.275387
25.892508
32.819952
32.769379
33.191667
31 .826578
31 .870233
32.436944
32.47361 1
31 .768274
31.758516
29.263319
29.901111
29.8025
29.767993
29.733713
29.670046
30.065278
29.583031
32.669003
26.226238
30.066944
29.922778
29.863951
32.569167
27.42694
33.590851
30.3503
27.7653
30.194167
35.209963
32.758889
-79.657187
-80.198787
-80.198787
-80.965042
-81 .853633
-82.40291 4
-82.402914
-82.31307
-83.2377
-82.838653
-81 .040235
-81 .040235
-103.27378
-83.94361 1
-85.292975
-83.93277
-87.47
-86.652778
-98.312479
-98.431 1 1 1
-98.311666
-97.493824
-96.860082
-96.546299
-97.193333
-102.34198
-102.33477
-97.025
-97.0425
-106.5012
-106.50105
-94.856568
-95.326944
-95.12555
-95.220576
-95.257591
-95.128485
-95.1875
-95.015535
-94.167449
-98.291064
-94.077222
-93.908889
-94.317757
-96.315833
-97.29861
-1 01 .84759
-95.425135
-97.4342
-93.866944
-101.83192
-97.342222
B13
-------
484393008
484393009
48439301 1
48453001 4
484530020
48479031 3
490353006
490353006
510591005
510870014
511130003
516500004
517700015
560391012
7201 70003
720250003
720250003
720330008
720330009
800020004
800020012
CC01 10002
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 WINS w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 WINS w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 WINS w/Correction Factor-TEOM Gravimetric
PM2.5 WINS w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 WINS w/Correction Factor-TEOM Gravimetric
PM2.5 WINS w/Correction Factor-TEOM Gravimetric
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 40 deg C
TX
TX
TX
TX
TX
TX
UT
UT
VA
VA
VA
VA
VA
WY
PR
PR
PR
PR
PR
MX
MX
SK
Tarrant
Tarrant
Tarrant
Travis
Travis
Webb
Salt Lake
Salt Lake
Fairfax
Henrico
Madison
Hampton City
Roanoke City
Teton
Barceloneta
Caguas
Caguas
Catano
Catano
Baja California*
Baja California"
***
32.810833
32.984167
32.65639
30.354426
30.483159
27.5994
40.736389
40.736389
38.837517
37.558333
38.521944
37.003333
37.297178
44.457778
18.436111
18.232499
18.232499
18.440028
18.449964
32.343333
32.629167
49.135138
-97.336944
-97.06361 1
-97.08889
-97.760257
-97.872266
-99.5333
-1 1 1 .87222
-1 1 1 .87222
-77.163231
-77.400278
-78.4361 1 1
-76.399167
-79.95557
-110.82917
-66.580556
-66.037023
-66.037023
-66.127076
-66.149043
-117.05472
-115.44694
-102.98486
(N. B.: State abbreviations PR, MX, and SK refer to Puerto Rico, Mexico, and Saskatchewan, respectively.)
'Approximately 21 km south of the California border near Rosarita, Baja California, Mexico.
"Approximately 3 km south of the California border near Mexican, Baja California, Mexico.
"Approximately 14 km north of the North Dakota border near Estevan, Saskatchewan, Canada.
B14
-------
Table B4. Acceptable SC Geographic Information for 2005
AQSJD
01 0730023
01 0730023
01 0731 005
01 0731 009
010731010
01 0732003
01 0732006
01 0735002
01 0735003
060010007
060750005
060811001
060850005
060950004
110010043
120330004
130210012
130511002
130590002
130770002
130890002
131210055
131350002
131510002
132150008
132230003
132450091
132970001
160010011
160010011
160050015
160050015
160090011
160150001
160150001
160150002
160150002
160190013
160190013
160270004
160270004
160490002
160490002
160550006
160550006
160550014
160550014
160570005
160570005
SC_Method
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
State
AL
AL
AL
AL
AL
AL
AL
AL
AL
CA
CA
CA
CA
CA
DC
FL
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
County
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Alameda
San Francisco
San Mateo
Santa Clara
Solano
District Of Columbia
Escambia
Bibb
Chatham
Clarke
Coweta
De Kalb
Fulton
Gwinnett
Henry
Muscogee
Paulding
Richmond
Walton
Ada
Ada
Bannock
Bannock
Benewah
Boise
Boise
Boise
Boise
Bonneville
Bonneville
Canyon
Canyon
Idaho
Idaho
Kootenai
Kootenai
Kootenai
Kootenai
Latah
Latah
Latitude
33.553056
33.553056
33.331111
33.459722
33.545278
33.499722
33.386389
33.704722
33.801667
37.6875
37.766
37.4829
37.3485
38.1027
38.918889
30.525
32.805244
32.090278
33.917925
33.403835
33.688007
33.720428
33.963074
33.433426
32.521099
33.92855
33.433883
33.625129
43.6361 1 1
43.6361 1 1
42.876725
42.876725
47.338702
43.823017
43.823017
44.104498
44.104498
43.518267
43.518267
43.562401
43.562401
45.931389
45.931389
47.682315
47.682315
47.721597
47.721597
46.721932
46.721932
Longitude
-86.815
-86.815
-87.00361 1
-87.305556
-86.549167
-86.924167
-86.816667
-86.669167
-86.9425
-121.7842
-122.3991
-122.2034
-121.895
-122.2382
-77.0125
-87.204167
-83.543628
-81.130556
-83.344512
-84.746028
-84.290325
-84.357449
-84.069193
-84.161797
-84.944695
-85.04548
-82.02241 4
-83.68176
-116.27028
-116.27028
-112.46035
-112.46035
-116.88461
-115.83856
-115.83856
-115.97239
-115.97239
-112.02071
-112.02071
-116.56323
-116.56323
-116.11528
-116.11528
-116.76553
-116.76553
-116.92615
-116.92615
-116.95918
-116.95918
B15
-------
160590004
160590004
160690012
160690012
160770011
160790017
160790017
160830010
160830010
160850001
160850001
160850002
180030004
180890022
180970078
180970078
181570008
181630012
2201 50008
2201 90008
220330009
22033001 3
220511001
220570004
220630002
220710012
221210001
2451 00040
250030006
250051 004
250092006
250095005
2501 3001 6
2501 54002
250213003
250250042
250250043
250270023
270031 002
27005201 3
2701 7741 6
270353204
270370470
270530963
270530969
270750005
27083421 0
271095008
271230871
271377551
271453052
271713201
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
IN
IN
IN
IN
IN
IN
LA
LA
LA
LA
LA
LA
LA
LA
LA
MD
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
Lemhi
Lemhi
Nez Perce
Nez Perce
Power
Shoshone
Shoshone
Twin Falls
Twin Falls
Valley
Valley
Valley
Allen
Lake
Marion
Marion
Tippecanoe
Vanderburgh
Bossier
Calcasieu
East Baton Rouge
East Baton Rouge
Jefferson
Lafourche
Livingston
Orleans
West Baton Rouge
Baltimore City
Berkshire
Bristol
Essex
Essex
Hampden
Hampshire
Norfolk
Suffolk
Suffolk
Worcester
Anoka
Becker
Carlton
Crow Wing
Dakota
Hennepin
Hennepin
Lake
Lyon
Olmsted
Ramsey
St Louis
Stearns
Wright
45.170556
45.170556
46.404722
46.404722
42.9125
47.536389
47.536389
42.564097
42.564097
44.899318
44.899318
44.890197
41 .094722
41 .606667
39.811097
39.811097
40.431639
38.021667
32.534167
30.261667
30.461111
30.700278
30.043333
29.763889
30.3125
29.994444
30.501944
39.298056
42.44
41 .6857
42.474444
42.762778
42.108889
42.298333
42.21222
42.329444
42.362778
42.265802
45.13975
46.851811
46.705241
46.394159
44.740751
44.955396
44.902568
47.948622
44.457691
43.996908
44.961451
46.766667
45.549839
45.211038
-113.89222
-113.89222
-116.96889
-116.96889
-112.53556
-116.23667
-116.23667
-114.4462
-114.4462
-116.09391
-116.09391
-116.1065
-85.101944
-87.304722
-86.114469
-86.114469
-86.8525
-87.569444
-93.749722
-93.284167
-91.176944
-91 .055833
-90.275
-90.765183
-90.8125
-90.102778
-91 .209722
-76.604722
-73.255278
-71.1698
-70.9725
-71.105833
-72.591389
-72.334722
-71.11472
-71 .082778
-71.054167
-71 .794835
-93.207616
-95.846272
-92.523606
-94.144405
-93.237293
-93.25827
-93.238287
-91 .495574
-95.836327
-92.450366
-93.035894
-92.133056
-94.13345
-93.669012
B16
-------
280110001
280470008
28049001 8
280810005
300310013
30053001 8
300810007
31 055001 9
3501 3001 6
3501 3001 7
350130021
3501 30022
3501 51 005
350250008
35045001 8
350490020
350550005
370210034
371190041
371190042
410010003
410010004
41 003001 3
41 0050004
410050102
41 0090004
410170120
41 01 90002
41 01 90003
410230001
41 0250002
41 029001 9
410290133
410294001
41 033001 0
41 033001 1
410330114
41 0350004
41 0351 002
410370001
41 0390060
41 0391 009
41 039201 3
41 0430009
41 0470041
410510080
410510246
410590121
410610118
410610119
410630001
41 0650007
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
MS
MS
MS
MS
MT
MT
MT
NE
NM
NM
NM
NM
NM
NM
NM
NM
NM
NC
NC
NC
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
Bolivar
Harrison
Hinds
Lee
Gallatin
Lincoln
Ravalli
Douglas
Dona Ana
Dona Ana
Dona Ana
Dona Ana
Eddy
Lea
San Juan
Santa Fe
Taos
Buncombe
Mecklenburg
Mecklenburg
Baker
Baker
Benton
Clackamas
Clackamas
Columbia
Deschutes
Douglas
Douglas
Grant
Harney
Jackson
Jackson
Jackson
Josephine
Josephine
Josephine
Klamath
Klamath
Lake
Lane
Lane
Lane
Linn
Marion
Multnomah
Multnomah
Umatilla
Union
Union
Wallowa
Wasco
33.746056
30.390139
32.296806
34.264917
44.657778
48.384167
46.245633
41 .247222
32.00361 1
31 .795833
31.796111
31 .787778
32.38
32.726656
36.80973
35.671111
36.383333
35.609722
35.240278
35.151389
44.787583
44.78822
44.588322
45.259722
45.288333
45.768056
44.063904
43.22769
42.94892
44.4172
43.586389
42.623214
42.314078
42.426389
42.104278
42.289722
42.434139
42.188889
42.895814
42.188889
44.026312
44.046696
43.744352
44.615648
44.94314
45.496667
45.561301
45.651944
45.43744
45.338972
45.426306
45.602399
-90.723028
-89.049722
-90.188306
-88.766222
-1 1 1 .09083
-115.54806
-114.15886
-95.975556
-106.59917
-106.5575
-106.58389
-106.68278
-1 04.26222
-103.12292
-107.65158
-105.95361
-105.58333
-82.350833
-80.785556
-80.866944
-117.84145
-117.8446
-123.27417
-122.5875
-121.79028
-122.77194
-121.31258
-123.3644
-123.36295
-118.9547
-119.05111
-122.8102
-122.87924
-122.85083
-123.68108
-123.2325
-123.34849
-121.7225
-122.13602
-120.35194
-123.08374
-123.0177
-122.48052
-123.0916
-123.00591
-122.60222
-122.67878
-118.81861
-117.89779
-117.9048
-117.29667
-121.20335
B17
-------
41 0670004
410670111
450450008
470370023
471570038
480290053
480290055
480290059
480610006
481130069
481133003
481210034
481350003
481351014
481390015
481390017
481410037
481410044
481410053
481410055
481490001
481670014
482010024
482010026
482011034
482011035
482011039
482011042
482011050
482030002
4821 50043
482430004
482450020
482450021
482450022
482570005
48273031 4
483030001
483230004
483390078
483550025
483611100
483750005
483750320
484391 006
484393008
484393009
48439301 1
48453001 4
484530020
48479031 3
48485031 5
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
OR
OR
SC
TN
TN
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
Washington
Washington
Greenville
Davidson
Shelby
Bexar
Bexar
Bexar
Cameron
Dallas
Dallas
Denton
Ector
Ector
Ellis
Ellis
El Paso
El Paso
El Paso
El Paso
Fayette
Galveston
Harris
Harris
Harris
Harris
Harris
Harris
Harris
Harrison
Hidalgo
Jeff Davis
Jefferson
Jefferson
Jefferson
Kaufman
Kleberg
Lubbock
Maverick
Montgomery
Nueces
Orange
Potter
Potter
Tarrant
Tarrant
Tarrant
Tarrant
Travis
Travis
Webb
Wichita
45.52853
45.4702
34.838814
36.176326
35.184167
29.58773
29.407222
29.275387
25.892508
32.819952
32.769379
33.191667
31 .826578
31 .870233
32.436944
32.47361 1
31 .768274
31 .765673
31.758516
31 .746752
29.9625
29.263319
29.901111
29.8025
29.767993
29.733713
29.670046
30.065278
29.583031
32.669003
26.226238
30.66938
30.066944
29.922778
29.863951
32.569167
27.42694
33.590851
28.701944
30.3503
27.7653
30.194167
35.209963
35.201588
32.758889
32.810833
32.984167
32.65639
30.354426
30.483159
27.5994
33.863333
-122.97244
-122.81585
-82.402914
-86.738902
-89.930278
-98.312479
-98.431 1 1 1
-98.311666
-97.493824
-96.860082
-96.546299
-97.193333
-102.34198
-102.33477
-97.025
-97.0425
-106.5012
-106.45523
-106.50105
-106.40281
-96.745278
-94.856568
-95.326944
-95.12555
-95.220576
-95.257591
-95.128485
-95.1875
-95.015535
-94.167449
-98.291064
-104.02463
-94.077222
-93.908889
-94.317757
-96.315833
-97.29861
-1 01 .84759
-100.45083
-95.425135
-97.4342
-93.866944
-101.83192
-101.90924
-97.342222
-97.336944
-97.06361 1
-97.08889
-97.760257
-97.872266
-99.5333
-98.5725
B18
-------
48485031 5
530010003
530050002
530050002
530050002
530070006
530070006
53007001 0
530090009
530110013
530110013
530130001
5301 5001 5
530210002
530251 002
53027001 1
530272002
530310003
53033001 7
53033001 7
53033001 7
530330023
530330024
530330024
530330024
530330027
530330037
530330048
530330057
530330057
530330057
530330080
530330080
530330080
530331 01 1
530332004
530332004
530332004
530370002
530370002
530450004
530470009
53047001 0
530530029
530530029
530530029
530530031
530530031
530530031
530531 01 8
530531 020
53057001 5
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
TX
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
Wichita
Adams
Benton
Benton
Benton
Chelan
Chelan
Chelan
Clallam
Clark
Clark
Columbia
Cowlitz
Franklin
Grant
Grays Harbor
Grays Harbor
Jefferson
King
King
King
King
King
King
King
King
King
King
King
King
King
King
King
King
King
King
King
King
Kittitas
Kittitas
Mason
Okanogan
Okanogan
Pierce
Pierce
Pierce
Pierce
Pierce
Pierce
Pierce
Pierce
Skagit
33.863333
47.128611
46.218611
46.218611
46.218611
47.412222
47.412222
47.598863
48.116389
45.648333
45.648333
46.531521
46.139444
46.575597
47.130336
47.343709
46.972696
48.129444
47.489722
47.489722
47.489722
47.141111
47.755
47.755
47.755
47.795
47.613056
47.6153
47.563333
47.563333
47.563333
47.570273
47.570273
47.570273
47.5297
47.3861 1 1
47.3861 1 1
47.3861 1 1
46.9961 1 1
46.9961 1 1
47.227833
48.364267
48.477198
47.1864
47.1864
47.1864
47.2656
47.2656
47.2656
47.140556
47.211
48.410311
-98.5725
-118.38194
-119.20556
-119.20556
-119.20556
-120.31833
-120.31833
-120.6647
-123.46444
-122.58694
-122.58694
-118.21667
-122.96194
-119.00071
-119.2726
-124.28692
-123.83047
-122.77944
-121.77333
-121.77333
-121.77333
-121.93306
-122.2806
-122.2806
-122.2806
-122.12944
-122.20167
-122.32972
-122.3406
-122.3406
-122.3406
-122.3086
-122.3086
-122.3086
-122.3203
-122.2319
-122.2319
-122.2319
-120.54528
-120.54528
-123.11456
-120.12112
-120.19056
-122.4517
-122.4517
-122.4517
-122.3858
-122.3858
-122.3858
-122.3003
-122.357
-122.33785
B19
-------
530610005
530610005
530610005
530611007
530611007
530611007
53063001 6
53063001 6
530630047
530650004
53067001 3
53067001 3
53067001 3
530710005
53073001 5
530750003
530750005
530750006
530770009
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 WINS w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 WINS w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
Snohomish
Snohomish
Snohomish
Snohomish
Snohomish
Snohomish
Spokane
Spokane
Spokane
Stevens
Thurston
Thurston
Thurston
Walla Walla
Whatcom
Whitman
Whitman
Whitman
Yakima
47.8064
47.8064
47.8064
48.055556
48.055556
48.055556
47.660833
47.660833
47.701111
48.544722
47.028889
47.028889
47.028889
46.060833
48.762778
46.724722
46.81728
47.233063
46.59678
-122.3167
-122.3167
-122.3167
-122.1758
-122.1758
-122.1758
-117.35722
-117.35722
-117.425
-117.90361
-122.82083
-122.82083
-122.82083
-118.34833
-122.44028
-117.17944
-117.87403
-117.36908
-120.51222
B20
-------
Table B5. Atmospheric SC Geographic Information for 2005
AQSJD
01 0730023
0401 3001 9
0401 39997
060271 023
080131001
080310002
080310013
080310013
080350004
191130037
202090021
260050003
2601 7001 4
260490021
26065001 2
260770008
260810020
261130001
261450018
261470005
261610008
261630001
261630033
261630039
290390001
290470005
29099001 2
291860005
291893001
33009001 0
330110020
3301 5001 4
371190041
390250022
390490029
390810017
391030003
391530017
4001 90297
400270049
400310647
400710602
401091037
401210415
401430174
401431127
42007001 4
420110009
420710007
420910013
SC_ Method
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
State
AL
AZ
AZ
CA
CO
CO
CO
CO
CO
IA
KS
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
MO
MO
MO
MO
MO
NH
NH
NH
NC
OH
OH
OH
OH
OH
OK
OK
OK
OK
OK
OK
OK
OK
PA
PA
PA
PA
County
Jefferson
Maricopa
Maricopa
Inyo
Boulder
Denver
Denver
Denver
Douglas
Linn
Wyandotte
Allegan
Bay
Genesee
Ingham
Kalamazoo
Kent
Missaukee
Saginaw
St Clair
Washtenaw
Wayne
Wayne
Wayne
Cedar
Clay
Jefferson
Ste Genevieve
St Louis
Grafton
Hillsborough
Rockingham
Mecklenburg
Clermont
Franklin
Jefferson
Medina
Summit
Carter
Cleveland
Comanche
Kay
Oklahoma
Pittsburg
Tulsa
Tulsa
Beaver
Berks
Lancaster
Montgomery
Latitude
33.553056
33.48385
33.503643
37.362194
40.01297
39.751185
39.73858
39.73858
39.53448
42.008333
39.1175
42.767778
43.571389
43.04722
42.73861 1
42.278056
42.984167
44.310556
43.508333
42.953333
42.240556
42.22861 1
42.306666
42.323333
37.695833
39.303056
38.437778
37.896944
38.641389
43.62957
43.000556
43.075278
35.240278
39.082319
40.086667
40.366104
41.102778
41 .063333
34.257125
35.320105
34.62641 8
36.705328
35.614131
34.90227
35.953708
36.204902
40.747778
40.320278
40.046667
40.112222
Longitude
-86.815
-112.14257
-112.095
-118.41654
-105.26719
-104.98762
-1 04.93996
-1 04.93996
-105.07035
-91 .67861 1
-94.635556
-86.148611
-83.890833
-83.670278
-84.534722
-85.541944
-85.671389
-84.891 944
-83.968056
-82.456389
-83.599722
-83.208333
-83.148889
-83.06861 1
-94.0375
-94.376389
-90.361389
-90.422222
-90.345833
-72.226083
-71 .468056
-70.748056
-80.785556
-84.144193
-82.815556
-80.615002
-81.911667
-81 .46861 1
-97.474341
-97.484099
-98.383173
-97.087656
-97.475083
-95.784375
-96.004975
-95.976537
-80.316667
-75.926667
-76.283333
-75.309167
B21
-------
421330008
450450008
500030004
50007001 4
500210002
550090005
550270007
55059001 9
550710007
550790026
550790059
550890009
551091002
551110007
551198001
551330027
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PA
SC
VT
VT
VT
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
York
Greenville
Bennington
Chittenden
Rutland
Brown
Dodge
Kenosha
Manitowoc
Milwaukee
Milwaukee
Ozaukee
St Croix
Sauk
Taylor
Waukesha
39.965278
34.838814
42.88759
44.4762
43.608056
44.516667
43.435
42.504722
44.138611
43.061111
42.955
43.498056
45.124444
43.435556
45.203889
43.020278
-76.699444
-82.402914
-73.24984
-73.2106
-72.982778
-87.993889
-88.527778
-87.8093
-87.616111
-87.9125
-87.934167
-87.81
-92.6625
-89.680278
-90.6
-88.215
B22
-------
Table B6. Raw SC Geographic Information for 2005
AQSJD
010890014
010970003
011190002
040191030
040191032
040191034
040191113
040230004
050350005
051191005
051 390006
051 430004
060070002
060074001
060111002
060190008
06021 0002
060250005
060250006
060290014
06041 0003
060431001
06061 0006
060631009
060670006
060670010
06067001 1
060670012
060771002
060990005
061 01 0003
061 072002
061110010
061 1 1 2002
061113001
061130004
08001 0006
08001 0006
080310013
081 230006
081 230006
090010010
090032006
090050005
090090027
0900921 23
1 0001 0002
1 00032004
120111002
SC_Method
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
AUTOMATED WINS 2.5UM IMPACTOR-TEOM-GRAVIMETRIC
AUTOMATED WINS 2.5UM IMPACTOR-TEOM-GRAVIMETRIC
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
State
AL
AL
AL
AZ
AZ
AZ
AZ
AZ
AR
AR
AR
AR
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CO
CO
CO
CO
CO
CT
CT
CT
CT
CT
DE
DE
FL
County
Madison
Mobile
Sumter
Pima
Pima
Pima
Pima
Santa Cruz
Crittenden
Pulaski
Union
Washington
Butte
Butte
Colusa
Fresno
Glenn
Imperial
Imperial
Kern
Marin
Mariposa
Placer
Plumas
Sacramento
Sacramento
Sacramento
Sacramento
San Joaquin
Stanislaus
Sutler
Tula re
Ventura
Ventura
Ventura
Yolo
Adams
Adams
Denver
Weld
Weld
Fairfield
Hartford
Litchfield
New Haven
New Haven
Kent
New Castle
Broward
Latitude
34.68767
30.769722
32.363889
31 .87952
32.17295
32.38082
32.2518
31 .337204
35.196667
34.676268
33.215
36.045751
39.7575
39.321667
39.203056
36.781389
39.517778
32.676111
32.677778
35.356111
38.126944
37.745833
38.745833
39.808333
38.614167
38.558333
38.301944
38.683889
37.950833
37.641667
39.138889
36.332222
33.2569
34.2775
34.255
38.533333
39.825739
39.825739
39.73858
40.414722
40.414722
41.170833
41 .7425
41.821389
41.301111
41 .550556
38.984722
39.739444
26.082778
Longitude
-86.58637
-88.0875
-88.201 944
-110.99644
-110.98005
-111.12716
-110.9653
-110.93672
-90.191111
-92.337164
-92.668889
-94.168978
-1 21 .84222
-121.66861
-122.01667
-119.77222
-122.19028
-115.48333
-115.38972
-119.04028
-122.91389
-119.60278
-121.26528
-120.47167
-121.36694
-121.49194
-121.42222
-121.16278
-121.2675
-120.99361
-121.6175
-119.29028
-119.4869
-118.68472
-119.1425
-121.775
-1 04.93699
-1 04.93699
-1 04.93996
-104.70611
-104.70611
-73.194722
-72.634444
-73.297222
-72.902778
-73.04361 1
-75.555556
-75.558056
-80.237778
B23
-------
1 2021 0004
1 2031 0098
1 2031 01 00
1 20570030
120571065
1 20573002
1 20574004
1 20690003
120730012
120731005
120861016
1 20866001
1 20952002
120991004
121030018
121111002
160050015
160170005
160170005
160190013
1 60270007
1 60270008
1 60270008
1 60450001
1 60450001
1 60490003
1 60590004
160690013
160690014
1 7031 0001
1 7031 0022
1 7031 0057
1 7031 0076
1 7031 4007
170314101
1 7031 6006
1 70434002
1 70650002
1 70990007
171110001
171150013
1 71 430037
171630010
180431004
1 80892004
1 80970078
1 80970078
1 81 270024
181411008
181670018
1 90450021
1 91 370002
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 WINS-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IN
IN
IN
IN
IN
IN
IN
IA
IA
Collier
Duval
Duval
Hillsborough
Hillsborough
Hillsborough
Hillsborough
Lake
Leon
Leon
Miami-Dade
Miami-Dade
Orange
Palm Beach
Pinellas
St Lucie
Bannock
Bonner
Bonner
Bonneville
Canyon
Canyon
Canyon
Gem
Gem
Idaho
Lemhi
Nez Perce
Nez Perce
Cook
Cook
Cook
Cook
Cook
Cook
Cook
Du Page
Hamilton
La Salle
Me Henry
Macon
Peoria
St Clair
Floyd
Lake
Marion
Marion
Porter
St Joseph
Vigo
Clinton
Montgomery
26.27
30.135556
30.261
27.931944
27.892222
27.96565
27.9925
29.014
30.439722
30.266944
25.794167
25.471389
28.599444
26.693056
27.785556
27.448889
42.876725
48.2675
48.2675
43.518267
43.705583
43.787147
43.787147
43.856442
43.856442
46.2094
45.170556
46.3972
46.335
41 .672745
41.689195
41.914733
41.751369
42.060278
42.053333
41 .874944
41.771195
38.083942
41.293125
42.221421
39.866944
40.698886
38.612222
38.308056
41 .585278
39.811097
39.811097
41.6175
41 .69361 1
39.4861 1 1
41 .874972
40.971211
-81 .71 1
-81.634167
-81 .454
-82.509722
-82.53861 1
-82.2304
-82.125833
-81.64119
-84.348333
-84.428333
-80.2061 1 1
-80.483333
-81 .363056
-80.099444
-82.74
-80.40833
-112.46035
-116.57222
-116.57222
-112.02071
-116.6232
-116.95958
-116.95958
-116.51546
-116.51546
-116.0275
-113.89222
-116.8062
-116.5359
-87.732457
-87.539318
-87.722725
-87.713745
-87.863333
-88.108056
-87.825876
-88.152502
-88.624942
-89.049242
-88.2421
-88.925556
-89.584741
-90.160278
-85.834167
-87.474444
-86.114469
-86.114469
-87.199167
-86.236667
-87.401389
-90.177444
-95.043868
B24
-------
191471002
1 91 530030
191630015
191630019
1 91 770006
201 070002
201 950001
211110027
211110043
211110048
211110051
230010011
230050027
2300901 03
230190002
240230002
240330030
240430009
245100040
261 530001
261 630038
261 630039
2951 00085
320030020
320030020
320030073
320030298
320030298
320030539
320030539
320030561
320030601
320030601
320032002
330074002
330090010
330110020
330115001
340030004
340070003
340230006
340390004
350010019
35001 0027
35001 0029
350011013
350439004
36001 0005
360050110
360050112
360050113
360290005
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 WINS w/No Correction Factor-TEOM Gravimetric 30 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
IA
IA
IA
IA
IA
KS
KS
KY
KY
KY
KY
ME
ME
ME
ME
MD
MD
MD
MD
Ml
Ml
Ml
MO
NV
NV
NV
NV
NV
NV
NV
NV
NV
NV
NV
NH
NH
NH
NH
NJ
NJ
NJ
NJ
NM
NM
NM
NM
NM
NY
NY
NY
NY
NY
Palo Alto
Polk
Scott
Scott
Van Buren
Linn
Trego
Jefferson
Jefferson
Jefferson
Jefferson
Androscoggin
Cumberland
Hancock
Penobscot
Garrett
Prince Georges
Washington
Baltimore City
Schoolcraft
Wayne
Wayne
St Louis City
Clark
Clark
Clark
Clark
Clark
Clark
Clark
Clark
Clark
Clark
Clark
Coos
Grafton
Hillsborough
Hillsborough
Bergen
Camden
Middlesex
Union
Bernalillo
Bernalillo
Bernalillo
Bernalillo
Sandoval
Albany
Bronx
Bronx
Bronx
Erie
43.123333
41.603132
41.53
41.517778
40.695078
38.135833
38.770278
38.137222
38.233222
38.240556
38.060833
44.089444
43.661944
44.37705
44.798849
39.705916
39.055277
39.565556
39.298056
46.28888
42.335
42.323333
38.6563
36.245278
36.245278
36.173056
36.052222
36.052222
36.144444
36.144444
36.163994
35.978889
35.978889
36.191111
44.290556
43.62957
43.000556
42.861901
40.85435
39.92304
40.47279
40.64144
35.10728
35.1539
35.01708
35.19324
35.615278
42.6424
40.81616
40.81564
40.80838
42.87684
-94.693333
-93.643234
-90.5875
-90.618611
-92.006318
-94.731 944
-99.76361 1
-85.578333
-85.825278
-85.731667
-85.8961 1 1
-70.215
-70.265833
-68.2609
-68.769745
-79.012028
-76.878333
-77.721 944
-76.604722
-85.95027
-83.1097
-83.06861 1
-90.1981
-115.09222
-115.09222
-115.33167
-115.05694
-115.05694
-115.08556
-115.08556
-115.11393
-114.84417
-114.84417
-115.12222
-71 .225
-72.226083
-71 .468056
-71.878613
-73.96825
-75.09762
-74.42251
-74.20836
-106.56359
-106.69715
-106.65735
-106.61382
-106.72444
-73.75453
-73.90207
-73.8851
-73.92604
-78.80988
B25
-------
36031 0003
360470052
360470118
3604701 21
360551007
360590005
360610062
360610115
360610117
360610119
360610125
360632008
360632008
360652001
360710002
360810120
360810124
360810124
3608501 1 1
360850114
361 030009
361030010
361192004
37021 0034
370350004
37051 0009
370570002
370570003
370670022
370670030
370810013
371 1 1 0004
371170001
371190041
371190042
371 290002
371 730002
371830014
380070002
380070002
380130002
380130004
380150003
380171004
380250003
380530002
380570004
380650002
390171004
390230005
390490028
390570005
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
AUTOMATED WINS 2.5UM IMPACTOR-TEOM-GRAVIMETRIC
AUTOMATED WINS 2.5UM IMPACTOR-TEOM-GRAVIMETRIC
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
ND
ND
ND
ND
ND
ND
ND
ND
ND
ND
OH
OH
OH
OH
Essex
Kings
Kings
Kings
Monroe
Nassau
New York
New York
New York
New York
New York
Niagara
Niagara
Oneida
Orange
Queens
Queens
Queens
Richmond
Richmond
Suffolk
Suffolk
Westchester
Buncombe
Catawba
Cumberland
Davidson
Davidson
Forsyth
Forsyth
Guilford
Me Dowell
Martin
Mecklenburg
Mecklenburg
New Hanover
Swain
Wake
Billings
Billings
Burke
Burke
Burleigh
Cass
Dunn
McKenzie
Mercer
Oliver
Butler
Clark
Franklin
Greene
44.39309
40.64154
40.69457
40.68577
43.146198
40.7432
40.72052
40.8489
40.72333
40.81148
40.71163
43.08216
43.08216
43.0994
41 .49947
40.72695
40.7362
40.7362
40.57997
40.63136
40.8275
40.82686
41 .052
35.609722
35.728889
35.041416
35.814444
35.77881
36.110556
36.026
36.109167
35.687404
35.81069
35.240278
35.151389
34.364167
35.435509
35.856111
46.8943
46.8943
48.9904
48.64193
46.825425
46.933754
47.3132
47.5812
47.29861 1
47.185833
39.53
39.928889
39.914167
39.808056
-73.85892
-74.01835
-73.92778
-73.99243
-77.54813
-73.58543
-74.00409
-73.93068
-73.98231
-73.95316
-74.00514
-79.00099
-79.00099
-75.22519
-74.00973
-73.89314
-73.82317
-73.82317
-74.19872
-74.15717
-73.05694
-73.05734
-73.76398
-82.350833
-81 .365556
-78.953112
-80.2625
-80.30236
-80.226667
-80.342
-79.801 1 1 1
-81 .993789
-76.89782
-80.785556
-80.866944
-77.83861 1
-83.443697
-78.574167
-103.37853
-103.37853
-102.7815
-102.4018
-100.76821
-96.85535
-102.5273
-103.2995
-101.76694
-1 01 .42806
-84.3925
-83.809722
-82.957222
-83.886944
B26
-------
39061 0040
390933002
390950024
390990014
391130031
391130032
391351001
391 51 0020
391 550007
400979014
401159005
42001 0001
420030008
420030064
420050001
420210011
420430401
420950025
440030002
440030012
440030014
440030015
440070022
440090007
450070003
450190046
450190046
450250001
450290002
450370001
450450009
450450009
450450010
450450013
450450014
450730001
450770002
450790018
4603301 32
46071 0001
461 030020
47009001 1
4700901 01
470450004
470654002
470931013
470990002
470990002
471071002
471130006
471130006
471210104
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
OH
OH
OH
OH
OH
OH
OH
OH
OH
OK
OK
PA
PA
PA
PA
PA
PA
PA
Rl
Rl
Rl
Rl
Rl
Rl
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SD
SD
SD
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
Hamilton
Lorain
Lucas
Mahoning
Montgomery
Montgomery
Preble
Stark
Trumbull
Mayes
Ottawa
Adams
Allegheny
Allegheny
Armstrong
Cambria
Dauphin
Northampton
Kent
Kent
Kent
Kent
Providence
Washington
Anderson
Charleston
Charleston
Chesterfield
Colleton
Edgefield
Greenville
Greenville
Greenville
Greenville
Greenville
Oconee
Pickens
Richland
Custer
Jackson
Pennington
Blount
Blount
Dyer
Hamilton
Knox
Lawrence
Lawrence
McMinn
Madison
Madison
Meigs
39.128611
41 .463056
41.644167
41 .095868
39.759444
39.760278
39.835556
40.800556
41.214167
36.2284
36.9858
39.92
40.465556
40.32361 1
40.814167
40.309722
40.245
40.628056
41.6156
41 .737969
41 .70549
41.715811
41 .807949
41.491667
34.776927
32.941023
32.941023
34.615367
33.009562
33.741693
34.901 046
34.901046
34.869374
34.854799
34.843991
34.805261
34.655221
33.984002
43.5578
43.74561
44.087397
35.768333
35.631389
36.052778
35.050928
35.98055
35.116111
35.116111
35.451111
35.653651
35.653651
35.288889
-84.504167
-82.114444
-83.546667
-80.658426
-84.144444
-84.187778
-84.720833
-81 .373333
-80.7875
-95.25
-94.8492
-77.31
-79.961 1 1 1
-79.868333
-79.565
-78.915
-76.844722
-75.341 1 1 1
-71.7199
-71.41441
-71 .441 76
-71 .43755
-71.415
-71 .427778
-82.490386
-79.657187
-79.657187
-80.198787
-80.965042
-81 .853633
-82.31307
-82.31307
-82.422593
-82.380631
-82.401159
-83.2377
-82.838653
-81 .040235
-103.4839
-101.94122
-103.27378
-83.942222
-83.94361 1
-89.381944
-85.292975
-83.93277
-87.47
-87.47
-84.599167
-88.809084
-88.809084
-84.9461 1 1
B27
-------
471251010
471 450004
471 450004
471 572005
471631007
471 650007
471 650007
490050004
490353006
490570002
510591005
510870014
511130003
516500004
517700015
560391012
7201 70003
720250003
720330008
720330009
800020004
800020012
CC01 10002
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 WINS w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 WINS w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 WINS w/Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 40 deg C
TN
TN
TN
TN
TN
TN
TN
UT
UT
UT
VA
VA
VA
VA
VA
WY
PR
PR
PR
PR
MX
MX
SK
Montgomery
Roane
Roane
Shelby
Sullivan
Sumner
Sumner
Cache
Salt Lake
Weber
Fairfax
Henrico
Madison
Hampton City
Roanoke City
Teton
Barceloneta
Caguas
Catano
Catano
Baja California*
Baja California"
Saskatchewan
36.625
35.9386
35.9386
35.188
36.540654
36.297778
36.297778
41.731111
40.736389
41 .206389
38.837517
37.558333
38.521944
37.003333
37.297178
44.457778
18.436111
18.232499
18.440028
18.449964
32.343333
32.629167
49.135138
-87.169167
-84.5438
-84.5438
-89.642
-82.521667
-86.652778
-86.652778
-1 1 1 .8375
-1 1 1 .87222
-1 1 1 .97472
-77.163231
-77.400278
-78.4361 1 1
-76.399167
-79.95557
-110.82917
-66.580556
-66.037023
-66.127076
-66.149043
-117.05472
-115.44694
-102.98486
(N. B.: State abbreviations PR, MX, and SK refer to Puerto Rico, Mexico, and Saskatchewan, respectively.)
'Approximately 21 km south of the California border near Rosarita, Baja California, Mexico.
"Approximately 3 km south of the California border near Mexican, Baja California, Mexico.
"Approximately 14 km north of the North Dakota border near Estevan, Saskatchewan, Canada.
B28
-------
Table B7. Acceptable SC Geographic Information for 2006
AQSID
01 0730023
01 0730023
01 0731 005
01 0731 009
010731010
01 0732003
01 0732006
01 0735002
01 0735003
060010007
060750005
060811001
060850005
060950004
110010043
120330004
130210012
130511002
130590002
130770002
130890002
131210055
131350002
131510002
132150008
132230003
132450091
132970001
160010011
160010011
160050015
160050015
160090011
160150001
160150002
160190013
160190013
160270004
160270004
160490002
160490002
160550006
160550006
160550014
160550014
160570005
160570005
160590004
160590004
SC_Method
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
State
AL
AL
AL
AL
AL
AL
AL
AL
AL
CA
CA
CA
CA
CA
DC
FL
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
County
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Alameda
San Francisco
San Mateo
Santa Clara
Solano
District Of Columbia
Escambia
Bibb
Chatham
Clarke
Coweta
De Kalb
Fulton
Gwinnett
Henry
Muscogee
Paulding
Richmond
Walton
Ada
Ada
Bannock
Bannock
Benewah
Boise
Boise
Bonneville
Bonneville
Canyon
Canyon
Idaho
Idaho
Kootenai
Kootenai
Kootenai
Kootenai
Latah
Latah
Lemhi
Lemhi
Latitude
33.553056
33.553056
33.331111
33.459722
33.545278
33.499722
33.386389
33.704722
33.801667
37.6875
37.766
37.4829
37.3485
38.1027
38.918889
30.525
32.805244
32.090278
33.917925
33.403835
33.688007
33.720428
33.963074
33.433426
32.521099
33.92855
33.433883
33.625129
43.6361 1 1
43.6361 1 1
42.876725
42.876725
47.338702
43.823017
44.104498
43.518267
43.518267
43.562401
43.562401
45.931389
45.931389
47.682315
47.682315
47.721597
47.721597
46.721932
46.721932
45.170556
45.170556
Longitude
-86.815
-86.815
-87.00361 1
-87.305556
-86.549167
-86.924167
-86.816667
-86.669167
-86.9425
-121.7842
-122.3991
-122.2034
-121.895
-122.2382
-77.0125
-87.204167
-83.543628
-81.130556
-83.344512
-84.746028
-84.290325
-84.357449
-84.069193
-84.161797
-84.944695
-85.04548
-82.02241 4
-83.68176
-116.27028
-116.27028
-112.46035
-112.46035
-116.88461
-115.83856
-115.97239
-112.02071
-112.02071
-116.56323
-116.56323
-116.11528
-116.11528
-116.76553
-116.76553
-116.92615
-116.92615
-116.95918
-116.95918
-113.89222
-113.89222
B29
-------
160690012
160690012
160770011
160790017
160790017
160830010
160830010
160850002
160850002
180030004
180890022
180970078
180970078
181570008
181630012
2201 50008
2201 90008
220330009
22033001 3
220511001
220570004
220630002
220710012
221210001
230031100
2451 00040
250030006
250051 004
250092006
250095005
2501 3001 6
2501 54002
250213003
250250042
250250043
250270023
270031 002
27005201 3
2701 7741 6
270317810
270353204
270370470
270530963
270530969
270750005
27083421 0
271095008
271230871
271377551
271453052
271713201
280110001
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
ID
ID
ID
ID
ID
ID
ID
ID
ID
IN
IN
IN
IN
IN
IN
LA
LA
LA
LA
LA
LA
LA
LA
LA
ME
MD
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MS
Nez Perce
Nez Perce
Power
Shoshone
Shoshone
Twin Falls
Twin Falls
Valley
Valley
Allen
Lake
Marion
Marion
Tippecanoe
Vanderburgh
Bossier
Calcasieu
East Baton Rouge
East Baton Rouge
Jefferson
Lafourche
Livingston
Orleans
West Baton Rouge
Aroostook
Baltimore City
Berkshire
Bristol
Essex
Essex
Hampden
Hampshire
Norfolk
Suffolk
Suffolk
Worcester
Anoka
Becker
Carlton
Cook
Crow Wing
Dakota
Hennepin
Hennepin
Lake
Lyon
Olmsted
Ramsey
St Louis
Stearns
Wright
Bolivar
46.404722
46.404722
42.9125
47.536389
47.536389
42.564097
42.564097
44.890197
44.890197
41 .094722
41 .606667
39.811097
39.811097
40.431639
38.021667
32.534167
30.261667
30.461111
30.700278
30.043333
29.763889
30.3125
29.994444
30.501944
46.696431
39.298056
42.44
41 .6857
42.474444
42.762778
42.108889
42.298333
42.21222
42.329444
42.362778
42.265802
45.13975
46.851811
46.705241
47.972085
46.394159
44.740751
44.955396
44.902568
47.948622
44.457691
43.996908
44.961451
46.766667
45.549839
45.211038
33.746056
-116.96889
-116.96889
-112.53556
-116.23667
-116.23667
-114.4462
-114.4462
-116.1065
-116.1065
-85.101944
-87.304722
-86.114469
-86.114469
-86.8525
-87.569444
-93.749722
-93.284167
-91.176944
-91 .055833
-90.275
-90.765183
-90.8125
-90.102778
-91 .209722
-68.033006
-76.604722
-73.255278
-71.1698
-70.9725
-71.105833
-72.591389
-72.334722
-71.11472
-71 .082778
-71.054167
-71 .794835
-93.207616
-95.846272
-92.523606
-89.69098
-94.144405
-93.237293
-93.25827
-93.238287
-91 .495574
-95.836327
-92.450366
-93.035894
-92.133056
-94.13345
-93.669012
-90.723028
B30
-------
280470008
28049001 0
28049001 8
280590006
280750003
280810005
290210005
290390001
290470005
290950034
29099001 2
291860005
291893001
2951 00085
300310013
30053001 8
300810007
31 055001 9
340030004
340070003
340110007
3401 71 003
340190001
340230006
340390004
340392003
340392003
3501 3001 6
3501 3001 7
350130021
3501 30022
3501 51 005
350250008
35045001 8
350490020
350550005
350610008
360010005
360050110
360050112
360050113
360290005
360310003
360470052
360470121
360551 007
360590005
360610062
360610115
360610117
360610119
360610125
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 WINS w/No Correction Factor-TEOM Gravimetric 30 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
MS
MS
MS
MS
MS
MS
MO
MO
MO
MO
MO
MO
MO
MO
MT
MT
MT
NE
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NM
NM
NM
NM
NM
NM
NM
NM
NM
NM
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
Harrison
Hinds
Hinds
Jackson
Lauderdale
Lee
Buchanan
Cedar
Clay
Jackson
Jefferson
Ste Genevieve
St Louis
St Louis City
Gallatin
Lincoln
Ravalli
Douglas
Bergen
Camden
Cumberland
Hudson
Hunterdon
Middlesex
Union
Union
Union
Dona Ana
Dona Ana
Dona Ana
Dona Ana
Eddy
Lea
San Juan
Santa Fe
Taos
Valencia
Albany
Bronx
Bronx
Bronx
Erie
Essex
Kings
Kings
Monroe
Nassau
New York
New York
New York
New York
New York
30.390139
32.385583
32.296806
30.378194
32.364389
34.264917
39.741667
37.695833
39.303056
39.104722
38.437778
37.896944
38.641389
38.6563
44.657778
48.384167
46.245633
41 .247222
40.85435
39.92304
39.42227
40.72545
40.51527
40.47279
40.641 44
40.60607
40.60607
32.00361 1
31 .795833
31.796111
31 .787778
32.38
32.726656
36.80973
35.671111
36.383333
34.8147
42.6424
40.81616
40.81564
40.80838
42.87684
44.39309
40.64154
40.68577
43.146198
40.7432
40.72052
40.8489
40.72333
40.81148
40.71163
-89.049722
-90.140917
-90.188306
-88.533944
-88.731 444
-88.766222
-94.858333
-94.0375
-94.376389
-94.570556
-90.361389
-90.422222
-90.345833
-90.1981
-1 1 1 .09083
-115.54806
-114.15886
-95.975556
-73.96825
-75.09762
-75.0252
-74.05229
-74.80666
-74.42251
-74.20836
-74.27498
-74.27498
-106.59917
-106.5575
-106.58389
-106.68278
-1 04.26222
-103.12292
-107.65158
-105.95361
-105.58333
-106.7396
-73.75453
-73.90207
-73.8851
-73.92604
-78.80988
-73.85892
-74.01835
-73.99243
-77.54813
-73.58543
-74.00409
-73.93068
-73.98231
-73.95316
-74.00514
B31
-------
360610134
360632008
360652001
360710002
360810120
360810124
3608501 1 1
360850114
361010003
361192004
370210034
370330001
370350004
370510009
370570002
370670030
370710016
370810013
371110004
371170001
371190041
371190042
371290002
371590021
371730002
371830014
371910005
410010004
41 003001 3
41 0050004
410050102
41 0090004
410170120
41 01 90002
41 01 90003
410230001
41 0250002
41 029001 9
410290133
410294001
41 033001 0
41 033001 1
410330114
41 0350004
41 0351 002
410370001
41 039001 3
41 0390060
41 0391 009
41 039201 3
41 0430009
41 0470041
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
New York
Niagara
Oneida
Orange
Queens
Queens
Richmond
Richmond
Steuben
West Chester
Buncombe
Caswell
Catawba
Cumberland
Davidson
Forsyth
Gaston
Guilford
Me Dowell
Martin
Mecklenburg
Mecklenburg
New Hanover
Rowan
Swain
Wake
Wayne
Baker
Benton
Clackamas
Clackamas
Columbia
Deschutes
Douglas
Douglas
Grant
Harney
Jackson
Jackson
Jackson
Josephine
Josephine
Josephine
Klamath
Klamath
Lake
Lane
Lane
Lane
Lane
Linn
Marion
40.7139
43.08216
43.0994
41 .49947
40.72695
40.7362
40.57997
40.63136
42.09071
41 .052
35.609722
36.307033
35.728889
35.041416
35.814444
36.026
35.253056
36.109167
35.687404
35.81069
35.240278
35.151389
34.364167
35.551868
35.435509
35.8561 1 1
35.369214
44.78822
44.588322
45.259722
45.288333
45.768056
44.063904
43.22769
42.94892
44.4172
43.586389
42.623214
42.314078
42.426389
42.104278
42.289722
42.434139
42.188889
42.895814
42.188889
44.047896
44.026312
44.046696
43.744352
44.615648
44.94314
-73.9956
-79.00099
-75.22519
-74.00973
-73.89314
-73.82317
-74.19872
-74.15717
-77.21025
-73.76398
-82.350833
-79.46741 7
-81 .365556
-78.953112
-80.2625
-80.342
-81.153333
-79.801 1 1 1
-81 .993789
-76.89782
-80.785556
-80.866944
-77.83861 1
-80.395039
-83.443697
-78.574167
-77.993893
-117.8446
-123.27417
-122.5875
-121.79028
-122.77194
-121.31258
-123.3644
-123.36295
-118.9547
-119.05111
-122.8102
-122.87924
-122.85083
-123.68108
-123.2325
-123.34849
-121.7225
-122.13602
-120.35194
-123.09205
-123.08374
-123.0177
-122.48052
-123.0916
-123.00591
B32
-------
410510080
410510246
410590121
410610119
410630001
41 0650007
41 0670004
410670111
420030008
420030064
421010004
421010024
450450008
470370023
471570024
471570038
480290053
480290055
480290059
480610006
481130069
481210034
481350003
481351014
481390015
481390016
481390017
481410037
481410044
481410053
481490001
481670014
482010024
482010026
482010416
482011034
482011035
482011039
482011042
482011050
482030002
4821 50043
482430004
482450020
482450021
482450022
482570005
48273031 4
483230004
483390078
483550025
483611100
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
OR
OR
OR
OR
OR
OR
OR
OR
PA
PA
PA
PA
SC
TN
TN
TN
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
Multnomah
Multnomah
Umatilla
Union
Wallowa
Wasco
Washington
Washington
Allegheny
Allegheny
Philadelphia
Philadelphia
Greenville
Davidson
Shelby
Shelby
Bexar
Bexar
Bexar
Cameron
Dallas
Denton
Ector
Ector
Ellis
Ellis
Ellis
El Paso
El Paso
El Paso
Fayette
Galveston
Harris
Harris
Harris
Harris
Harris
Harris
Harris
Harris
Harrison
Hidalgo
Jeff Davis
Jefferson
Jefferson
Jefferson
Kaufman
Kleberg
Maverick
Montgomery
Nueces
Orange
45.496667
45.561301
45.651944
45.338972
45.426306
45.602399
45.52853
45.4702
40.465556
40.32361 1
40.008889
40.076389
34.838814
36.176326
35.150833
35.184167
29.58773
29.407222
29.275387
25.892508
32.819952
33.191667
31 .826578
31 .870233
32.436944
32.481944
32.47361 1
31 .768274
31 .765673
31.758516
29.9625
29.263319
29.901111
29.8025
29.686389
29.767993
29.733713
29.670046
30.065278
29.583031
32.669003
26.226238
30.66938
30.066944
29.922778
29.863951
32.569167
27.42694
28.701944
30.3503
27.7653
30.194167
-122.60222
-122.67878
-118.81861
-117.9048
-117.29667
-121.20335
-122.97244
-122.81585
-79.961 1 1 1
-79.868333
-75.097778
-75.011944
-82.402914
-86.738902
-90.041 389
-89.930278
-98.312479
-98.431 1 1 1
-98.311666
-97.493824
-96.860082
-97.193333
-102.34198
-102.33477
-97.025
-97.0275
-97.0425
-106.5012
-106.45523
-106.50105
-96.745278
-94.856568
-95.326944
-95.12555
-95.294722
-95.220576
-95.257591
-95.128485
-95.1875
-95.015535
-94.167449
-98.291064
-104.02463
-94.077222
-93.908889
-94.317757
-96.315833
-97.29861
-100.45083
-95.425135
-97.4342
-93.866944
B33
-------
483750320
484391 006
48439301 1
48453001 4
484530020
48479031 3
48485031 5
490050004
490353006
490494001
490570002
530010003
530050002
530050002
530070006
530070006
53007001 0
530090009
53009001 3
530110013
530110013
530130001
5301 5001 5
530210002
530251 002
530270008
53027001 1
530272002
530310003
53033001 0
53033001 7
53033001 7
53033001 7
530330023
530330024
530330024
530330024
530330037
530330048
530330057
530330057
530330057
530330080
530330080
530331 01 1
530332004
530332004
530332004
530370002
530370002
530450004
530450006
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
TX
TX
TX
TX
TX
TX
TX
UT
UT
UT
UT
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
Potter
Tarrant
Tarrant
Travis
Travis
Webb
Wichita
Cache
Salt Lake
Utah
Weber
Adams
Benton
Benton
Chelan
Chelan
Chelan
Clallam
Clallam
Clark
Clark
Columbia
Cowlitz
Franklin
Grant
Grays Harbor
Grays Harbor
Grays Harbor
Jefferson
King
King
King
King
King
King
King
King
King
King
King
King
King
King
King
King
King
King
King
Kittitas
Kittitas
Mason
Mason
35.201588
32.758889
32.65639
30.354426
30.483159
27.5994
33.863333
41.731111
40.736389
40.341389
41 .206389
47.128611
46.218611
46.218611
47.412222
47.412222
47.598863
48.116389
48.286719
45.648333
45.648333
46.531521
46.139444
46.575597
47.130336
46.8166
47.343709
46.972696
48.129444
47.551944
47.489722
47.489722
47.489722
47.141111
47.755
47.755
47.755
47.613056
47.6153
47.563333
47.563333
47.563333
47.570273
47.570273
47.5297
47.3861 1 1
47.3861 1 1
47.3861 1 1
46.9961 1 1
46.9961 1 1
47.227833
47.3258
-101.90924
-97.342222
-97.08889
-97.760257
-97.872266
-99.5333
-98.5725
-1 1 1 .8375
-1 1 1 .87222
-111.71361
-1 1 1 .97472
-118.38194
-119.20556
-119.20556
-120.31833
-120.31833
-120.6647
-123.46444
-124.62034
-122.58694
-122.58694
-118.21667
-122.96194
-119.00071
-119.2726
-123.1913
-124.28692
-123.83047
-122.77944
-122.04444
-121.77333
-121.77333
-121.77333
-121.93306
-122.2806
-122.2806
-122.2806
-122.20167
-122.32972
-122.3406
-122.3406
-122.3406
-122.3086
-122.3086
-122.3203
-122.2319
-122.2319
-122.2319
-120.54528
-120.54528
-123.11456
-123.1505
B34
-------
530470009
53047001 0
530510007
530530029
530530029
530530029
530530031
530531 01 8
530531 020
530531 022
530531 022
53057001 5
530590001
530590004
530610005
530610005
530610005
530610020
530611007
530611007
530611007
53063001 6
53063001 6
530630047
530650002
530650002
530650004
53067001 3
53067001 3
53067001 3
530710005
53073001 5
530750003
530750005
530750006
530770009
53077001 5
53077001 5
540511002
80002001 2
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 WINS w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 WINS w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
Met-One BAM W/PM2.5 SCC-Beta Attenuation
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WV
MX
Okanogan
Okanogan
Pend Oreille
Pierce
Pierce
Pierce
Pierce
Pierce
Pierce
Pierce
Pierce
Skagit
Skamania
Skamania
Snohomish
Snohomish
Snohomish
Snohomish
Snohomish
Snohomish
Snohomish
Spokane
Spokane
Spokane
Stevens
Stevens
Stevens
Thurston
Thurston
Thurston
Walla Walla
Whatcom
Whitman
Whitman
Whitman
Yakima
Yakima
Yakima
Marshall
Baja California"
48.364267
48.477198
48.3457
47.1864
47.1864
47.1864
47.2656
47.140556
47.211
47.204986
47.204986
48.410311
45.57
45.648384
47.8064
47.8064
47.8064
48.2469
48.055556
48.055556
48.055556
47.660833
47.660833
47.701111
47.8886
47.8886
48.544722
47.028889
47.028889
47.028889
46.060833
48.762778
46.724722
46.81728
47.233063
46.59678
46.385259
46.385259
39.91597
32.629167
-120.12112
-120.19056
-117.2716
-122.4517
-122.4517
-122.4517
-122.3858
-122.3003
-122.357
-122.34462
-122.34462
-122.33785
-122.2
-121.94311
-122.3167
-122.3167
-122.3167
-121.6031
-122.1758
-122.1758
-122.1758
-117.35722
-117.35722
-117.425
-117.9886
-117.9886
-117.90361
-122.82083
-122.82083
-122.82083
-118.34833
-122.44028
-117.17944
-117.87403
-117.36908
-120.51222
-120.31358
-120.31358
-80.734057
-115.44694
(N. B.: The state abbreviations MX refers to Mexico.)
"Approximately 3 km south of the California border near Mexican, Baja California, Mexico.
B35
-------
Table B8. Atmospheric SC Geographic Information for 2006
AQSJD
010730023
040130019
040139812
040139997
060271023
080131001
080131001
08031 0002
080310013
080350004
080350004
090010010
090050004
090090027
190170011
1 90450021
191130037
1 91 370002
191471002
1 91 530030
191630015
191630019
1 91 770006
202090021
260050003
2601 7001 4
260490021
26065001 2
260770008
26081 0020
261130001
261 470005
261 530001
261 61 0008
261 630001
261 630033
261 630039
29021 0005
290390001
290470005
290950034
290950034
290990012
291 860005
291 893001
33009001 0
330150014
340030004
340070003
SC_Method
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
State
AL
AZ
AZ
AZ
CA
CO
CO
CO
CO
CO
CO
CT
CT
CT
IA
IA
IA
IA
IA
IA
IA
IA
IA
KS
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
MO
MO
MO
MO
MO
MO
MO
MO
NH
NH
NJ
NJ
County
Jefferson
Maricopa
Maricopa
Maricopa
Inyo
Boulder
Boulder
Denver
Denver
Douglas
Douglas
Fairfield
Litchfield
New Haven
Bremer
Clinton
Linn
Montgomery
Palo Alto
Polk
Scott
Scott
Van Buren
Wyandotte
Allegan
Bay
Genesee
Ingham
Kalamazoo
Kent
Missaukee
St Clair
Schoolcraft
Washtenaw
Wayne
Wayne
Wayne
Buchanan
Cedar
Clay
Jackson
Jackson
Jefferson
Ste Genevieve
St Louis
Grafton
Rockingham
Bergen
Camden
Latitude
33.553056
33.48385
33.4265
33.503643
37.362194
40.01297
40.01297
39.751185
39.73858
39.53448
39.53448
41.170833
41 .64486
41.301111
42.743056
41 .874972
42.008333
40.971211
43.123333
41.603132
41.53
41.517778
40.695078
39.1175
42.767778
43.571389
43.04722
42.73861 1
42.278056
42.984167
44.310556
42.953333
46.28888
42.240556
42.22861 1
42.306666
42.323333
39.741667
37.695833
39.303056
39.104722
39.104722
38.437778
37.896944
38.641389
43.62957
43.075278
40.85435
39.92304
Longitude
-86.815
-112.14257
-112.11814
-112.095
-118.41654
-105.26719
-105.26719
-104.98762
-104.93996
-105.07035
-105.07035
-73.194722
-73.07908
-72.902778
-92.513056
-90.177444
-91 .67861 1
-95.043868
-94.693333
-93.643234
-90.5875
-90.618611
-92.006318
-94.635556
-86.148611
-83.890833
-83.670278
-84.534722
-85.541944
-85.671389
-84.891 944
-82.456389
-85.95027
-83.599722
-83.208333
-83.148889
-83.06861 1
-94.858333
-94.0375
-94.376389
-94.570556
-94.570556
-90.361389
-90.422222
-90.345833
-72.226083
-70.748056
-73.96825
-75.09762
B36
-------
340110007
340171003
340190001
340230006
340390004
360632008
36081 01 24
361 01 0003
371190041
390250022
390350060
390490029
390610040
390810017
390853002
390933002
391030003
391530017
4001 90297
400270049
40031 0647
400710602
401091037
401210415
401430174
401431127
420070014
420110009
420110010
42071 0007
420910013
421 330008
450450008
500030004
500070014
50021 0002
550090005
550250041
550270007
550590019
55071 0007
550790026
550790059
550890009
551091002
551 1 1 0007
551198001
551 330027
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
NJ
NJ
NJ
NJ
NJ
NY
NY
NY
NC
OH
OH
OH
OH
OH
OH
OH
OH
OH
OK
OK
OK
OK
OK
OK
OK
OK
PA
PA
PA
PA
PA
PA
SC
VT
VT
VT
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Cumberland
Hudson
Hunterdon
Middlesex
Union
Niagara
Queens
Steuben
Mecklenburg
Clermont
Cuyahoga
Franklin
Hamilton
Jefferson
Lake
Lorain
Medina
Summit
Carter
Cleveland
Comanche
Kay
Oklahoma
Pittsburg
Tulsa
Tulsa
Beaver
Berks
Berks
Lancaster
Montgomery
York
Greenville
Bennington
Chittenden
Rutland
Brown
Dane
Dodge
Kenosha
Manitowoc
Milwaukee
Milwaukee
Ozaukee
St Croix
Sauk
Taylor
Waukesha
39.42227
40.72545
40.51527
40.47279
40.64144
43.08216
40.7362
42.09071
35.240278
39.082319
41 .493955
40.086667
39.128611
40.366104
41 .7225
41 .463056
41.102778
41 .063333
34.257125
35.320105
34.62641 8
36.705328
35.614131
34.90227
35.953708
36.204902
40.747778
40.320278
40.392694
40.046667
40.112222
39.965278
34.838814
42.88759
44.4762
43.608056
44.516667
43.100833
43.435
42.504722
44.138611
43.061111
42.955
43.498056
45.124444
43.435556
45.203889
43.020278
-75.0252
-74.05229
-74.80666
-74.42251
-74.20836
-79.00099
-73.82317
-77.21025
-80.785556
-84.144193
-81 .678542
-82.815556
-84.504167
-80.615002
-81 .241 944
-82.114444
-81.911667
-81 .46861 1
-97.474341
-97.484099
-98.383173
-97.087656
-97.475083
-95.784375
-96.004975
-95.976537
-80.316667
-75.926667
-75.925222
-76.283333
-75.309167
-76.699444
-82.402914
-73.24984
-73.2106
-72.982778
-87.993889
-89.357222
-88.527778
-87.8093
-87.616111
-87.9125
-87.934167
-87.81
-92.6625
-89.680278
-90.6
-88.215
B37
-------
Table B9. Raw SC Geographic Information for 2006
AQSJD
010890014
010970003
010970003
011190002
011190002
021100004
040191030
040191032
040191034
040191113
040230004
050350005
051191005
051 390006
051 430004
051 430005
060070002
060074001
060111002
060152003
060190008
060193002
06021 0002
06021 0003
060232002
060250005
060250006
060290014
060379034
06041 0003
060431001
06061 0006
060631009
060670006
060670010
06067001 1
060670012
060771002
060990005
061 01 0003
061 072002
061 1 1 0009
061111004
061 1 1 2002
061113001
061130004
08001 0006
08001 0006
080130003
SC_Method
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
AUTOMATED WINS 2.5UM IMPACTOR-TEOM-GRAVIMETRIC
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
AUTOMATED WINS 2.5UM IMPACTOR-TEOM-GRAVIMETRIC
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
State
AL
AL
AL
AL
AL
AK
AZ
AZ
AZ
AZ
AZ
AR
AR
AR
AR
AR
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CO
CO
CO
County
Madison
Mobile
Mobile
Sumter
Sumter
Juneau
Pima
Pima
Pima
Pima
Santa Cruz
Crittenden
Pulaski
Union
Washington
Washington
Butte
Butte
Colusa
Del Norte
Fresno
Fresno
Glenn
Glenn
Humboldt
Imperial
Imperial
Kern
Los Angeles
Marin
Mariposa
Placer
Plumas
Sacramento
Sacramento
Sacramento
Sacramento
San Joaquin
Stanislaus
Sutler
Tula re
Ventura
Ventura
Ventura
Ventura
Yolo
Adams
Adams
Boulder
Latitude
34.68767
30.769722
30.769722
32.363889
32.363889
58.388889
31 .87952
32.17295
32.38082
32.2518
31 .337204
35.196667
34.676268
33.215
36.045751
36.179708
39.7575
39.321667
39.203056
36.781389
36.60722
39.517778
39.533889
41.191944
32.676111
32.677778
35.356111
34.813056
38.126944
37.745833
38.745833
39.808333
38.614167
38.558333
38.301944
38.683889
37.950833
37.641667
39.138889
36.332222
34.40461 1
34.448333
34.2775
34.255
38.533333
39.825739
39.825739
40.165833
Longitude
-86.58637
-88.0875
-88.0875
-88.201944
-88.201 944
-134.56556
-110.99644
-110.98005
-111.12716
-110.9653
-110.93672
-90.191111
-92.337164
-92.668889
-94.168978
-94.116687
-121.84222
-121.66861
-122.01667
-119.77222
-119.53972
-122.19028
-122.19083
-123.69028
-115.48333
-115.38972
-119.04028
-118.88389
-122.91389
-119.60278
-121.26528
-120.47167
-121.36694
-121.49194
-121.42222
-121.16278
-121.2675
-120.99361
-121.6175
-119.29028
-118.81
-119.23028
-118.68472
-119.1425
-121.775
-1 04.93699
-1 04.93699
-105.10111
B38
-------
080130003
080130003
080770017
080770017
080770017
081 230006
081 230006
090010010
09001 1 1 23
090032006
090050005
090090027
0900921 23
1 0001 0002
100031012
1 00032004
100051002
120090011
120111002
1 2021 0004
1 2031 0098
1 2031 01 00
1 20570030
120571065
1 20573002
1 20574004
1 20690003
120730012
120731005
120861016
1 20866001
1 20952002
121030018
121111002
160010010
160010010
160090010
160090010
160170005
160170005
1 60270007
1 60490003
160690013
160690014
1 7031 0001
1 7031 0022
1 7031 0057
1 7031 0076
1 7031 4007
1 7031 6006
1 70434002
1 70650002
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
CO
CO
CO
CO
CO
CO
CO
CT
CT
CT
CT
CT
CT
DE
DE
DE
DE
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
IL
IL
IL
IL
IL
IL
IL
IL
Boulder
Boulder
Mesa
Mesa
Mesa
Weld
Weld
Fairfield
Fairfield
Hartford
Litchfield
New Haven
New Haven
Kent
New Castle
New Castle
Sussex
Brevard
Broward
Collier
Duval
Duval
Hillsborough
Hillsborough
Hillsborough
Hillsborough
Lake
Leon
Leon
Miami-Dade
Miami-Dade
Orange
Pinellas
St Lucie
Ada
Ada
Benewah
Benewah
Bonner
Bonner
Canyon
Idaho
Nez Perce
Nez Perce
Cook
Cook
Cook
Cook
Cook
Cook
Du Page
Hamilton
40.165833
40.165833
39.063625
39.063625
39.063625
40.414722
40.414722
41.170833
41.399167
41 .7425
41.821389
41.301111
41 .550556
38.984722
39.691944
39.739444
38.644444
28.46938
26.082778
26.27
30.135556
30.261
27.931944
27.892222
27.96565
27.9925
29.014
30.439722
30.266944
25.794167
25.471389
28.599444
27.785556
27.448889
43.607568
43.607568
47.316667
47.316667
48.2675
48.2675
43.705583
46.2094
46.3972
46.335
41 .672745
41.689195
41.914733
41.751369
42.060278
41 .874944
41.771195
38.083942
-105.10111
-105.10111
-108.56102
-108.56102
-108.56102
-104.70611
-104.70611
-73.194722
-73.443056
-72.634444
-73.297222
-72.902778
-73.04361 1
-75.555556
-75.761667
-75.558056
-75.613056
-80.66683
-80.237778
-81.711
-81.634167
-81 .454
-82.509722
-82.53861 1
-82.2304
-82.125833
-81.64119
-84.348333
-84.428333
-80.2061 1 1
-80.483333
-81 .363056
-82.74
-80.40833
-116.34843
-116.34843
-116.57028
-116.57028
-116.57222
-116.57222
-116.6232
-116.0275
-116.8062
-116.5359
-87.732457
-87.539318
-87.722725
-87.713745
-87.863333
-87.825876
-88.152502
-88.624942
B39
-------
1 70990007
171110001
171150013
1 71 430037
171630010
180431004
1 80970078
1 80970078
1 81 270024
181410015
181411008
181670018
181670018
201 070002
201 950001
211110027
211110043
211110048
211110051
230010011
230050027
2300901 03
230190002
240150003
240230002
240330030
240430009
245100040
260170014
260490021
260650012
260770008
26081 0020
261130001
261470005
261 530001
261 61 0008
261 630001
261 630033
261 630038
261 630039
2951 00085
320030020
320030073
320030298
320030539
320030561
320032002
330074002
330074002
330090010
330110020
Met-One BAM W/PM2.5 SCO-Beta Attenuation
Met-One BAM W/PM2.5 SCO-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC-FDMS-Gravimetric
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 WINS w/No Correction Factor-TEOM Gravimetric 30 deg C
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
IL
IL
IL
IL
IL
IN
IN
IN
IN
IN
IN
IN
IN
KS
KS
KY
KY
KY
KY
ME
ME
ME
ME
MD
MD
MD
MD
MD
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
MO
NV
NV
NV
NV
NV
NV
NH
NH
NH
NH
La Salle
Me Henry
Macon
Peoria
St Clair
Floyd
Marion
Marion
Porter
St Joseph
St Joseph
Vigo
Vigo
Linn
Trego
Jefferson
Jefferson
Jefferson
Jefferson
Androscoggin
Cumberland
Hancock
Penobscot
Cecil
Garrett
Prince Georges
Washington
Baltimore City
Bay
Genesee
Ingham
Kalamazoo
Kent
Missaukee
St Clair
Schoolcraft
Washtenaw
Wayne
Wayne
Wayne
Wayne
St Louis City
Clark
Clark
Clark
Clark
Clark
Clark
Coos
Coos
Grafton
Hillsborough
41.293125
42.221421
39.866944
40.698886
38.612222
38.308056
39.811097
39.811097
41.6175
41 .696692
41 .69361 1
39.4861 1 1
39.4861 1 1
38.135833
38.770278
38.137222
38.233222
38.240556
38.060833
44.089444
43.661 944
44.37705
44.798849
39.701111
39.705916
39.055277
39.565556
39.298056
43.571389
43.04722
42.73861 1
42.278056
42.984167
44.310556
42.953333
46.28888
42.240556
42.22861 1
42.306666
42.335
42.323333
38.6563
36.245278
36.173056
36.052222
36.144444
36.163994
36.191111
44.290556
44.290556
43.62957
43.000556
-89.049242
-88.2421
-88.925556
-89.584741
-90.160278
-85.834167
-86.114469
-86.114469
-87.199167
-86.214683
-86.236667
-87.401389
-87.401389
-94.731 944
-99.76361 1
-85.578333
-85.825278
-85.731667
-85.8961 1 1
-70.215
-70.265833
-68.2609
-68.769745
-75.86
-79.012028
-76.878333
-77.721944
-76.604722
-83.890833
-83.670278
-84.534722
-85.541944
-85.671389
-84.891 944
-82.456389
-85.95027
-83.599722
-83.208333
-83.148889
-83.1097
-83.06861 1
-90.1981
-115.09222
-115.33167
-115.05694
-115.08556
-115.11393
-115.12222
-71 .225
-71 .225
-72.226083
-71 .468056
B40
-------
330115001
330115001
350010019
35001 0027
35001 0029
350011013
350439004
35055901 6
36001 0005
360050110
360050112
360050113
360290005
36031 0003
360470052
360470118
360470121
360551007
360590005
360610062
360610115
360610117
360610119
360610125
360610134
360632008
360652001
360710002
360810120
360810124
3608501 1 1
360850114
361 01 0003
361 030009
361030009
361030010
361192004
37021 0034
370330001
370350004
37051 0009
370570002
370670022
370670030
370710016
370810013
371 1 1 0004
371170001
371190041
371190042
371 290002
371 590021
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
AUTOMATED WINS 2.5UM IMPACTOR-TEOM-GRAVIMETRIC
OTHR AUTOMATD 2.5 MASS CONCENT-SURROGATE MEASURE
AUTOMATED WINS 2.5UM IMPACTOR-TEOM-GRAVIMETRIC
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
NH
NH
NM
NM
NM
NM
NM
NM
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
Hillsborough
Hillsborough
Bernalillo
Bernalillo
Bernalillo
Bernalillo
Sandoval
Taos
Albany
Bronx
Bronx
Bronx
Erie
Essex
Kings
Kings
Kings
Monroe
Nassau
New York
New York
New York
New York
New York
New York
Niagara
Oneida
Orange
Queens
Queens
Richmond
Richmond
Steuben
Suffolk
Suffolk
Suffolk
Westchester
Buncombe
Caswell
Catawba
Cumberland
Davidson
Forsyth
Forsyth
Gaston
Guilford
Me Dowell
Martin
Mecklenburg
Mecklenburg
New Hanover
Rowan
42.861901
42.861901
35.10728
35.1539
35.01708
35.19324
35.615278
36.4417
42.6424
40.81616
40.81564
40.80838
42.87684
44.39309
40.64154
40.69457
40.68577
43.146198
40.7432
40.72052
40.8489
40.72333
40.81148
40.71163
40.7139
43.08216
43.0994
41 .49947
40.72695
40.7362
40.57997
40.63136
42.09071
40.8275
40.8275
40.82686
41.052
35.609722
36.307033
35.728889
35.041416
35.814444
36.110556
36.026
35.253056
36.109167
35.687404
35.81069
35.240278
35.151389
34.364167
35.551868
-71.878613
-71.878613
-106.56359
-106.69715
-106.65735
-106.61382
-106.72444
-105.5469
-73.75453
-73.90207
-73.8851
-73.92604
-78.80988
-73.85892
-74.01835
-73.92778
-73.99243
-77.54813
-73.58543
-74.00409
-73.93068
-73.98231
-73.95316
-74.0051 4
-73.9956
-79.00099
-75.22519
-74.00973
-73.89314
-73.82317
-74.19872
-74.15717
-77.21025
-73.05694
-73.05694
-73.05734
-73.76398
-82.350833
-79.467417
-81 .365556
-78.953112
-80.2625
-80.226667
-80.342
-81.153333
-79.801 1 1 1
-81 .993789
-76.89782
-80.785556
-80.866944
-77.83861 1
-80.395039
B41
-------
371 730002
371830014
371 91 0005
380070002
380130004
380150003
380171004
380250003
380530002
380570004
380650002
39001 0001
390171004
390230005
390490028
390570005
39061 0006
390950024
390990014
391130031
391130032
391351001
391 51 0020
391 550007
400979014
401159004
401359015
401359015
42001 0001
420030008
420030064
420050001
420210011
420430401
420450002
420950025
421 250005
440030002
440030012
440030015
440070022
440090007
450070003
450190046
450190046
450250001
450290002
450370001
450450009
450450009
450450010
450450013
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
NC
NC
NC
ND
ND
ND
ND
ND
ND
ND
ND
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OK
OK
OK
OK
PA
PA
PA
PA
PA
PA
PA
PA
PA
Rl
Rl
Rl
Rl
Rl
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
Swain
Wake
Wayne
Billings
Burke
Burleigh
Cass
Dunn
McKenzie
Mercer
Oliver
Adams
Butler
Clark
Franklin
Greene
Hamilton
Lucas
Mahoning
Montgomery
Montgomery
Preble
Stark
Trumbull
Mayes
Ottawa
Sequoyah
Sequoyah
Adams
Allegheny
Allegheny
Armstrong
Cambria
Dauphin
Delaware
Northampton
Washington
Kent
Kent
Kent
Providence
Washington
Anderson
Charleston
Charleston
Chesterfield
Colleton
Edgefield
Greenville
Greenville
Greenville
Greenville
35.435509
35.856111
35.369214
46.8943
48.64193
46.825425
46.933754
47.3132
47.5812
47.29861 1
47.185833
38.795
39.53
39.928889
39.914167
39.808056
39.278499
41.644167
41 .095868
39.759444
39.760278
39.835556
40.800556
41.214167
36.2284
36.922222
35.58175
35.58175
39.92
40.465556
40.32361 1
40.814167
40.309722
40.245
39.835556
40.628056
40.146667
41.6156
41 .737969
41.715811
41 .807949
41 .491 667
34.776927
32.941023
32.941023
34.615367
33.009562
33.741693
34.901 046
34.901 046
34.869374
34.854799
-83.443697
-78.574167
-77.993893
-103.37853
-102.4018
-100.76821
-96.85535
-102.5273
-103.2995
-101.76694
-101.42806
-83.535278
-84.3925
-83.809722
-82.957222
-83.886944
-84.365974
-83.546667
-80.658426
-84.144444
-84.187778
-84.720833
-81 .373333
-80.7875
-95.25
-94.838889
-94.829
-94.829
-77.31
-79.961 1 1 1
-79.868333
-79.565
-78.915
-76.844722
-75.3725
-75.341 1 1 1
-79.902222
-71.7199
-71 .41 441
-71 .43755
-71.415
-71 .427778
-82.490386
-79.657187
-79.657187
-80.198787
-80.965042
-81 .853633
-82.31307
-82.31307
-82.422593
-82.380631
B42
-------
450450014
450730001
450770002
4603301 32
46071 0001
461 030020
47009001 1
4700901 01
470370036
470450004
470630003
470654002
470750003
470931 01 3
470990002
471071002
471130006
471210104
471251010
471 450004
471 572005
471631007
471 650007
490050004
510591005
510870014
511130003
516500004
517700015
560391012
7201 70003
720250003
720330008
720330009
720590017
800020012
PM2.5 SCC w/Correction Facto r-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 WINS w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 WINS w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 WINS w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 WINS w/Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
SC
SC
SC
SD
SD
SD
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
UT
VA
VA
VA
VA
VA
WY
PR
PR
PR
PR
PR
MX
Greenville
Oconee
Pickens
Custer
Jackson
Pennington
Blount
Blount
Davidson
Dyer
Hamblen
Hamilton
Haywood
Knox
Lawrence
McMinn
Madison
Meigs
Montgomery
Roane
Shelby
Sullivan
Sumner
Cache
Fairfax
Henri co
Madison
Hampton City
Roanoke City
Teton
Barceloneta
Caguas
Catano
Catano
Guyanilla
Baja California"
34.843991
34.805261
34.655221
43.5578
43.74561
44.087397
35.768333
35.631389
36.118251
36.052778
36.307778
35.050928
35.468056
35.98055
35.116111
35.451111
35.653651
35.288889
36.625
35.9386
35.188
36.540654
36.297778
41.731111
38.837517
37.558333
38.521944
37.003333
37.297178
44.457778
18.436111
18.232499
18.440028
18.449964
18.025175
32.629167
-82.401159
-83.2377
-82.838653
-103.4839
-101.94122
-103.27378
-83.942222
-83.94361 1
-86.873547
-89.381944
-83.134472
-85.292975
-89.167778
-83.93277
-87.47
-84.599167
-88.809084
-84.9461 1 1
-87.169167
-84.5438
-89.642
-82.521667
-86.652778
-1 1 1 .8375
-77.163231
-77.400278
-78.4361 1 1
-76.399167
-79.95557
-110.82917
-66.580556
-66.037023
-66.127076
-66.149043
-66.770175
-115.44694
(N. B.: State abbreviations PR and MX refer to Puerto Rico and
"Approximately 3 km south of the California border near Mexican
Mexico, respectively.)
, Baja California, Mexico.
B43
-------
Table B10. Acceptable SC Geographic Information for 2007
AQSJD
01 0730023
01 0731 005
01 0731 009
010731010
01 0732003
01 0732006
01 0735002
01 0735003
060010007
060012004
060195001
06029001 0
060310004
060550003
060570005
060571001
060750005
060773005
060811001
060832004
060850005
060950004
060950006
060990006
110010043
120330004
130210012
130511002
130590002
130770002
130890002
131210055
131350002
131510002
132150008
132230003
132450091
132950002
132970001
160010011
160010011
160050015
160050015
160090011
160190013
160190013
160270004
160270004
160490002
SC_Method
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
State
AL
AL
AL
AL
AL
AL
AL
AL
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
DC
FL
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
County
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Alameda
Alameda
Fresno
Kern
Kings
Napa
Nevada
Nevada
San Francisco
San Joaquin
San Mateo
Santa Barbara
Santa Clara
Solano
Solano
Stanislaus
District Of Columbia
Escambia
Bibb
Chatham
Clarke
Coweta
De Kalb
Fulton
Gwinnett
Henry
Muscogee
Paulding
Richmond
Walker
Walton
Ada
Ada
Bannock
Bannock
Benewah
Bonneville
Bonneville
Canyon
Canyon
Idaho
Latitude
33.553056
33.331111
33.459722
33.545278
33.499722
33.386389
33.704722
33.801667
37.6875
37.8778
36.819167
35.385556
36.101389
38.310833
39.234444
39.338611
37.766
37.6825
37.4829
34.6375
37.3485
38.1027
38.065567
37.488333
38.918889
30.525
32.805244
32.090278
33.917925
33.403835
33.688007
33.720428
33.963074
33.433426
32.521099
33.92855
33.433883
34.966557
33.625129
43.6361 1 1
43.6361 1 1
42.876725
42.876725
47.338702
43.518267
43.518267
43.562401
43.562401
45.931389
Longitude
-86.815
-87.00361 1
-87.305556
-86.549167
-86.924167
-86.816667
-86.669167
-86.9425
-121.7842
-122.3013
-119.71639
-119.01472
-119.56583
-122.29472
-121.05556
-120.17028
-122.3991
-1 21 .44056
-122.2034
-120.45639
-121.895
-122.2382
-122.15073
-120.83583
-77.0125
-87.204167
-83.543628
-81.130556
-83.344512
-84.746028
-84.290325
-84.357449
-84.069193
-84.161797
-84.944695
-85.04548
-82.02241 4
-85.297229
-83.68176
-116.27028
-116.27028
-112.46035
-112.46035
-116.88461
-112.02071
-112.02071
-116.56323
-116.56323
-116.11528
B44
-------
160550006
160550006
160570005
160590004
160590004
160690012
160770011
160790017
160790017
160790017
160830010
160830010
160850002
160850002
170310001
170310022
170310057
170310076
170314201
170316006
170434002
170650002
170990007
171110001
171150013
171430037
171630010
180030004
180890022
180970078
180970078
180970081
181570008
181630012
191530030
202090021
210190017
21 0290006
21 0373002
21 0590005
21 067001 2
21 0930006
21 1 1 70007
211451024
211830032
211950002
21 2270008
2201 50008
2201 90008
220330009
22033001 3
220511001
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 VSCC-Beta Attenuation
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IN
IN
IN
IN
IN
IN
IN
IA
KS
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
KY
LA
LA
LA
LA
LA
Kootenai
Kootenai
Latah
Lemhi
Lemhi
Nez Perce
Power
Shoshone
Shoshone
Shoshone
Twin Falls
Twin Falls
Valley
Valley
Cook
Cook
Cook
Cook
Cook
Cook
Du Page
Hamilton
La Salle
Me Henry
Macon
Peoria
St Clair
Allen
Lake
Marion
Marion
Marion
Tippecanoe
Vanderburgh
Polk
Wyandotte
Boyd
Bullitt
Campbell
Daviess
Fayette
Hardin
Kenton
McCracken
Ohio
Pike
Warren
Bossier
Calcasieu
East Baton Rouge
East Baton Rouge
Jefferson
47.682315
47.682315
46.721932
45.170556
45.170556
46.404722
42.9125
47.536389
47.536389
47.536389
42.564097
42.564097
44.890197
44.890197
41 .672745
41.689195
41.914733
41.751369
42.14
41 .874944
41.771195
38.083942
41.293125
42.221421
39.866944
40.698886
38.612222
41 .094722
41 .606667
39.811097
39.811097
39.788903
40.431639
38.021667
41.603132
39.1175
38.459167
37.985556
39.021806
37.780833
38.065
37.706389
39.0725
37.058056
37.319725
37.482778
37.036667
32.534167
30.261667
30.461111
30.700278
30.043333
-116.76553
-116.76553
-116.95918
-113.89222
-113.89222
-116.96889
-112.53556
-116.23667
-116.23667
-116.23667
-114.4462
-114.4462
-116.1065
-116.1065
-87.732457
-87.539318
-87.722725
-87.713745
-87.799167
-87.825876
-88.152502
-88.624942
-89.049242
-88.2421
-88.925556
-89.584741
-90.160278
-85.101944
-87.304722
-86.114469
-86.114469
-86.214628
-86.8525
-87.569444
-93.643234
-94.635556
-82.640556
-85.713056
-84.474453
-87.075556
-84.5
-85.851667
-84.525
-88.5725
-86.956097
-82.535278
-86.250556
-93.749722
-93.284167
-91.176944
-91 .055833
-90.275
B45
-------
220570004
220630002
220710012
220870007
221210001
230031100
2451 00040
250030006
250051 004
250092006
250095005
2501 3001 6
2501 54002
250213003
250250042
250250043
250270023
270031 002
27005201 3
2701 7741 6
270317810
270353204
270370470
270530963
270530969
270750005
27083421 0
271095008
271230871
271377551
271453052
271713201
280110001
280470008
28049001 0
280590006
280750003
280810005
290210005
290390001
290470005
290950034
29099001 2
291860005
291893001
2951 00085
300310013
300310016
30049001 8
30053001 8
300810007
300930009
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 WINS w/Correction Factor-TEOM Gravimetric 30 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
LA
LA
LA
LA
LA
ME
MD
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MN
MS
MS
MS
MS
MS
MS
MO
MO
MO
MO
MO
MO
MO
MO
MT
MT
MT
MT
MT
MT
Lafourche
Livingston
Orleans
St Bernard
West Baton Rouge
Aroostook
Baltimore City
Berkshire
Bristol
Essex
Essex
Hampden
Hampshire
Norfolk
Suffolk
Suffolk
Worcester
Anoka
Becker
Carlton
Cook
Crow Wing
Dakota
Hennepin
Hennepin
Lake
Lyon
Olmsted
Ramsey
St Louis
Stearns
Wright
Bolivar
Harrison
Hinds
Jackson
Lauderdale
Lee
Buchanan
Cedar
Clay
Jackson
Jefferson
Ste Genevieve
St Louis
St Louis City
Gallatin
Gallatin
Lewis And Clark
Lincoln
Ravalli
Silver Bow
29.763889
30.3125
29.994444
29.94475
30.501944
46.696431
39.298056
42.44
41 .6857
42.474444
42.762778
42.108889
42.298333
42.21222
42.329444
42.362778
42.265802
45.13975
46.851811
46.705241
47.972085
46.394159
44.740751
44.955396
44.902568
47.948622
44.457691
43.996908
44.961451
46.766667
45.549839
45.211038
33.746056
30.390139
32.385583
30.378194
32.364389
34.264917
39.741667
37.695833
39.303056
39.104722
38.437778
37.896944
38.641389
38.6563
44.657778
44.661481
46.603889
48.384167
46.245633
45.99879
-90.765183
-90.8125
-90.102778
-89.976263
-91 .209722
-68.033006
-76.604722
-73.255278
-71.1698
-70.9725
-71.105833
-72.591389
-72.334722
-71.11472
-71 .082778
-71.054167
-71 .794835
-93.207616
-95.846272
-92.523606
-89.69098
-94.144405
-93.237293
-93.25827
-93.238287
-91 .495574
-95.836327
-92.450366
-93.035894
-92.133056
-94.13345
-93.669012
-90.723028
-89.049722
-90.140917
-88.533944
-88.731 444
-88.766222
-94.858333
-94.0375
-94.376389
-94.570556
-90.361389
-90.422222
-90.345833
-90.1981
-1 1 1 .09083
-111.10507
-112.03528
-115.54806
-114.15886
-112.53662
B46
-------
31 055001 9
320030020
320030022
320030073
320030298
320030539
320030561
320031 01 9
320032002
340010006
340030004
340070003
340110007
3401 71 003
340190001
340230006
340390004
340392003
350010019
350010019
350010027
350010027
350010029
350010029
350011013
350011013
3501 3001 6
3501 3001 7
350130021
3501 30022
3501 51 005
350250008
350439004
35045001 8
350490020
350490021
350550005
350610008
360010005
360050110
360050112
360050113
360290005
360291 01 3
360291 01 4
360291 01 5
360296002
360310003
360470052
360470118
360470121
360551 007
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 VSCC-FDMS-Gravimetric
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 VSCC-FDMS-Gravimetric
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 VSCC-FDMS-Gravimetric
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
NE
NV
NV
NV
NV
NV
NV
NV
NV
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NM
NM
NM
NM
NM
NM
NM
NM
NM
NM
NM
NM
NM
NM
NM
NM
NM
NM
NM
NM
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
Douglas
Clark
Clark
Clark
Clark
Clark
Clark
Clark
Clark
Atlantic
Bergen
Camden
Cumberland
Hudson
Hunterdon
Middlesex
Union
Union
Bernalillo
Bernalillo
Bernalillo
Bernalillo
Bernalillo
Bernalillo
Bernalillo
Bernalillo
Dona Ana
Dona Ana
Dona Ana
Dona Ana
Eddy
Lea
Sandoval
San Juan
Santa Fe
Santa Fe
Taos
Valencia
Albany
Bronx
Bronx
Bronx
Erie
Erie
Erie
Erie
Erie
Essex
Kings
Kings
Kings
Monroe
41 .247222
36.245278
36.390775
36.173056
36.052222
36.144444
36.163994
35.785634
36.191111
39.464967
40.85435
39.92304
39.42227
40.72545
40.51527
40.47279
40.641 44
40.60607
35.10728
35.10728
35.1539
35.1539
35.01708
35.01708
35.19324
35.19324
32.00361 1
31 .795833
31.796111
31 .787778
32.38
32.726656
35.615278
36.80973
35.671111
35.61975
36.383333
34.8147
42.6424
40.81616
40.81564
40.80838
42.87684
42.988443
42.998125
42.981312
42.968563
44.39309
40.64154
40.69457
40.68577
43.146198
-95.975556
-115.09222
-114.90681
-115.33167
-115.05694
-115.08556
-115.11393
-115.35706
-115.12222
-74.448902
-73.96825
-75.09762
-75.0252
-74.05229
-74.80666
-74.42251
-74.20836
-74.27498
-106.56359
-106.56359
-106.69715
-106.69715
-106.65735
-106.65735
-106.61382
-106.61382
-106.59917
-106.5575
-106.58389
-106.68278
-1 04.26222
-103.12292
-106.72444
-107.65158
-105.95361
-106.07968
-105.58333
-106.7396
-73.75453
-73.90207
-73.8851
-73.92604
-78.80988
-78.918589
-78.899264
-78.906425
-78.943842
-73.85892
-74.01835
-73.92778
-73.99243
-77.54813
B47
-------
360590005
360610062
360610115
360610117
360610119
360610125
360610128
360610134
360610135
360632008
360652001
360710002
360810120
360810124
3608501 1 1
360850114
361010003
361192004
370010002
370210034
370330001
370350004
370510009
370570002
370670022
370670030
370710016
370810013
371110004
371170001
371190041
371190041
371190042
371190042
371290002
371590021
371730002
371830014
371910005
401159004
401159005
410010004
41 003001 3
41 0050004
410050102
41 0090004
410170120
41 01 90002
410230001
41 0250002
41 029001 9
410290133
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
OK
OK
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
Nassau
New York
New York
New York
New York
New York
New York
New York
New York
Niagara
Oneida
Orange
Queens
Queens
Richmond
Richmond
Steuben
West Chester
Alamance
Buncombe
Caswell
Catawba
Cumberland
Davidson
Forsyth
Forsyth
Gaston
Guilford
Me Dowell
Martin
Mecklenburg
Mecklenburg
Mecklenburg
Mecklenburg
New Hanover
Rowan
Swain
Wake
Wayne
Ottawa
Ottawa
Baker
Benton
Clackamas
Clackamas
Columbia
Deschutes
Douglas
Grant
Harney
Jackson
Jackson
40.7432
40.72052
40.8489
40.72333
40.81148
40.71163
40.73003
40.7139
40.81833
43.08216
43.0994
41 .49947
40.72695
40.7362
40.57997
40.63136
42.09071
41 .052
36.089004
35.609722
36.307033
35.728889
35.041416
35.814444
36.110556
36.026
35.253056
36.109167
35.687404
35.81069
35.240278
35.240278
35.151389
35.151389
34.364167
35.551868
35.435509
35.8561 1 1
35.369214
36.922222
36.9858
44.78822
44.588322
45.259722
45.288333
45.768056
44.063904
43.22769
44.4172
43.586389
42.623214
42.314078
-73.58543
-74.00409
-73.93068
-73.98231
-73.95316
-74.00514
-73.98446
-73.9956
-73.95083
-79.00099
-75.22519
-74.00973
-73.89314
-73.82317
-74.19872
-74.15717
-77.21025
-73.76398
-79.407821
-82.350833
-79.46741 7
-81 .365556
-78.953112
-80.2625
-80.226667
-80.342
-81.153333
-79.801 1 1 1
-81 .993789
-76.89782
-80.785556
-80.785556
-80.866944
-80.866944
-77.83861 1
-80.395039
-83.443697
-78.574167
-77.993893
-94.838889
-94.8492
-117.8446
-123.27417
-122.5875
-121.79028
-122.77194
-121.31258
-123.3644
-118.9547
-119.05111
-122.8102
-122.87924
B48
-------
41 033001 0
41 033001 1
410330114
41 0350004
41 0351 002
410370001
41 039001 3
41 0390060
41 0391 009
41 039201 3
41 0430009
410430103
41 0470041
410510080
410510246
410590121
41 0591 003
410610119
410630001
41 0650007
41 0670004
410670111
420030008
420030064
421010004
421010024
450450008
470370023
471570024
471570024
471570038
480290032
480290053
480290055
480290059
480290676
480290677
480610006
481130069
481210034
481350003
481351014
481390015
481390016
481391044
481410037
481410044
481410053
481490001
481670014
481671034
482010024
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
PA
PA
PA
PA
SC
TN
TN
TN
TN
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
Josephine
Josephine
Josephine
Klamath
Klamath
Lake
Lane
Lane
Lane
Lane
Linn
Linn
Marion
Multnomah
Multnomah
Umatilla
Umatilla
Union
Wallowa
Wasco
Washington
Washington
Allegheny
Allegheny
Philadelphia
Philadelphia
Greenville
Davidson
Shelby
Shelby
Shelby
Bexar
Bexar
Bexar
Bexar
Bexar
Bexar
Cameron
Dallas
Denton
Ector
Ector
Ellis
Ellis
Ellis
El Paso
El Paso
El Paso
Fayette
Galveston
Galveston
Harris
42.104278
42.289722
42.434139
42.188889
42.895814
42.188889
44.047896
44.026312
44.046696
43.744352
44.615648
44.38361 1
44.94314
45.496667
45.561301
45.651944
45.828889
45.338972
45.426306
45.602399
45.52853
45.4702
40.465556
40.32361 1
40.008889
40.076389
34.838814
36.176326
35.150833
35.150833
35.184167
29.51505
29.58773
29.407222
29.275387
29.334167
29.423889
25.892508
32.819952
33.191667
31 .826578
31 .870233
32.436944
32.481944
32.177222
31 .768274
31 .765673
31.758516
29.9625
29.263319
29.254444
29.901111
-123.68108
-123.2325
-123.34849
-121.7225
-122.13602
-120.35194
-123.09205
-123.08374
-123.0177
-122.48052
-123.0916
-121.86333
-123.00591
-122.60222
-122.67878
-118.81861
-119.26331
-117.9048
-117.29667
-121.20335
-122.97244
-122.81585
-79.961 1 1 1
-79.868333
-75.097778
-75.011944
-82.402914
-86.738902
-90.041389
-90.041 389
-89.930278
-98.620191
-98.312479
-98.431 1 1 1
-98.311666
-98.551667
-98.580556
-97.493824
-96.860082
-97.193333
-102.34198
-102.33477
-97.025
-97.0275
-96.871 1 1
-106.5012
-106.45523
-106.50105
-96.745278
-94.856568
-94.861 1 1 1
-95.326944
B49
-------
482010026
482010416
482011034
482011035
482011039
482011042
482011050
482030002
4821 50043
482430004
482450020
482450021
482450022
482570005
48273031 4
483091 037
483230004
483390078
483550025
483611100
483750320
484391 006
48439301 1
48453001 4
484530020
48479031 3
48485031 5
490050004
490353006
490450003
490494001
490570002
530010003
530030004
530050002
530070003
530070006
530070006
530070006
53007001 0
530090009
53009001 3
53009001 4
530110013
530110013
530110013
530110019
530110022
530130001
5301 5001 5
530210002
530251 002
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
UT
UT
UT
UT
UT
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
Harris
Harris
Harris
Harris
Harris
Harris
Harris
Harrison
Hidalgo
Jeff Davis
Jefferson
Jefferson
Jefferson
Kaufman
Kleberg
McLennan
Maverick
Montgomery
Nueces
Orange
Potter
Tarrant
Tarrant
Travis
Travis
Webb
Wichita
Cache
Salt Lake
Tooele
Utah
Weber
Adams
Asotin
Benton
Chelan
Chelan
Chelan
Chelan
Chelan
Clallam
Clallam
Clallam
Clark
Clark
Clark
Clark
Clark
Columbia
Cowlitz
Franklin
Grant
29.8025
29.686389
29.767993
29.733713
29.670046
30.065278
29.583031
32.669003
26.226238
30.66938
30.066944
29.922778
29.863951
32.569167
27.42694
31 .653056
28.701944
30.3503
27.7653
30.194167
35.201588
32.758889
32.65639
30.354426
30.483159
27.5994
33.863333
41.731111
40.736389
40.543371
40.341389
41 .206389
47.128611
46.425571
46.218611
47.83929
47.412222
47.412222
47.412222
47.598863
48.116389
48.286719
48.37182
45.648333
45.648333
45.648333
45.623889
45.867734
46.531521
46.139444
46.575597
47.130336
-95.12555
-95.294722
-95.220576
-95.257591
-95.128485
-95.1875
-95.015535
-94.167449
-98.291064
-104.02463
-94.077222
-93.908889
-94.317757
-96.315833
-97.29861
-97.070556
-100.45083
-95.425135
-97.4342
-93.866944
-101.90924
-97.342222
-97.08889
-97.760257
-97.872266
-99.5333
-98.5725
-1 1 1 .8375
-1 1 1 .87222
-112.29881
-111.71361
-1 1 1 .97472
-118.38194
-117.05973
-119.20556
-120.01732
-120.31833
-120.31833
-120.31833
-120.6647
-123.46444
-124.62034
-124.59519
-122.58694
-122.58694
-122.58694
-122.61194
-122.41195
-118.21667
-122.96194
-119.00071
-119.2726
B50
-------
530270008
53027001 1
530272002
530310003
53033001 7
530330023
530330024
530330024
530330024
530330037
530330048
530330057
530330080
530330080
530330080
530331 01 1
530332004
530332004
530332004
530351 005
530370002
530370002
530370002
530450004
530450006
530470009
53047001 0
530510007
530530029
530530029
530530029
530530031
530531 01 8
530531 022
530531 022
53057001 5
530590001
530590004
530610005
530610020
530611007
530611007
530611007
53063001 6
53063001 6
530630047
530650002
530650002
530650004
53067001 3
53067001 3
530710005
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 WINS w/Correction Factor-TEOM Gravimetric 30 deg C
Correlated Radiance Research M903-Nephelometry
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
Grays Harbor
Grays Harbor
Grays Harbor
Jefferson
King
King
King
King
King
King
King
King
King
King
King
King
King
King
King
Kitsap
Kittitas
Kittitas
Kittitas
Mason
Mason
Okanogan
Okanogan
Pend Oreille
Pierce
Pierce
Pierce
Pierce
Pierce
Pierce
Pierce
Skagit
Skamania
Skamania
Snohomish
Snohomish
Snohomish
Snohomish
Snohomish
Spokane
Spokane
Spokane
Stevens
Stevens
Stevens
Thurston
Thurston
Walla Walla
46.8166
47.343709
46.972696
48.129444
47.489722
47.141111
47.755
47.755
47.755
47.613056
47.6153
47.563333
47.570273
47.570273
47.570273
47.5297
47.3861 1 1
47.3861 1 1
47.3861 1 1
47.6308
46.9961 1 1
46.9961 1 1
46.9961 1 1
47.227833
47.3258
48.364267
48.477198
48.3457
47.1864
47.1864
47.1864
47.2656
47.140556
47.204986
47.204986
48.410311
45.57
45.648384
47.8064
48.2469
48.055556
48.055556
48.055556
47.660833
47.660833
47.701111
47.8886
47.8886
48.544722
47.028889
47.028889
46.060833
-123.1913
-1 24.28692
-123.83047
-122.77944
-121.77333
-121.93306
-122.2806
-122.2806
-122.2806
-122.20167
-122.32972
-122.3406
-122.3086
-122.3086
-122.3086
-122.3203
-122.2319
-122.2319
-122.2319
-122.6411
-120.54528
-120.54528
-120.54528
-123.11456
-123.1505
-120.12112
-120.19056
-117.2716
-122.4517
-122.4517
-122.4517
-122.3858
-122.3003
-122.34462
-122.34462
-122.33785
-122.2
-121.94311
-122.3167
-121.6031
-122.1758
-122.1758
-122.1758
-117.35722
-117.35722
-117.425
-117.9886
-117.9886
-117.90361
-122.82083
-122.82083
-118.34833
B51
-------
53073001 5
530750003
530750005
530750006
530770009
53077001 5
53077001 5
540511002
80002001 2
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
Met-One BAM W/PM2.5 SCC-Beta Attenuation
WA
WA
WA
WA
WA
WA
WA
WV
MX
Whatcom
Whitman
Whitman
Whitman
Yakima
Yakima
Yakima
Marshall
Baja California
48.762778
46.724722
46.81728
47.233063
46.59678
46.385259
46.385259
39.91597
32.629167
-122.44028
-117.17944
-117.87403
-117.36908
-120.51222
-120.31358
-120.31358
-80.734057
-115.44694
(N. B.: The state abbreviations MX refers to Mexico.)
"Approximately 3 km south of the California border near Mexican, Baja California, Mexico.
B52
-------
Table B11. Atmospheric SC Geographic Information for 2007
AQSJD
040130019
040139812
040139997
060271023
080131001
08031 0002
080310013
08031 0025
080350004
090010010
090031003
090050004
090090027
190170011
190170011
1 90450021
191130037
191130037
1 91 370002
191471002
1 91 530030
191630015
191630019
1 91 770006
202090021
260170014
260490021
260650012
260770008
26081 0020
261130001
261 470005
261 530001
261 530001
261 61 0008
261 630001
261 630033
261 630039
29021 0005
290390001
290470005
290470005
290950034
290990012
290990012
291 860005
291 893001
330150014
34001 0006
SC_Method
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
State
AZ
AZ
AZ
CA
CO
CO
CO
CO
CO
CT
CT
CT
CT
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
KS
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
MO
MO
MO
MO
MO
MO
MO
MO
MO
NH
NJ
County
Maricopa
Maricopa
Maricopa
Inyo
Boulder
Denver
Denver
Denver
Douglas
Fairfield
Hartford
Litchfield
New Haven
Bremer
Bremer
Clinton
Linn
Linn
Montgomery
Palo Alto
Polk
Scott
Scott
Van Buren
Wyandotte
Bay
Genesee
Ingham
Kalamazoo
Kent
Missaukee
St Clair
Schoolcraft
Schoolcraft
Washtenaw
Wayne
Wayne
Wayne
Buchanan
Cedar
Clay
Clay
Jackson
Jefferson
Jefferson
Ste Genevieve
St Louis
Rockingham
Atlantic
Latitude
33.48385
33.4265
33.503643
37.362194
40.01297
39.751185
39.73858
39.704407
39.53448
41.170833
41 .784722
41 .64486
41.301111
42.743056
42.743056
41 .874972
42.008333
42.008333
40.971211
43.123333
41.603132
41.53
41.517778
40.695078
39.1175
43.571389
43.04722
42.73861 1
42.278056
42.984167
44.310556
42.953333
46.28888
46.28888
42.240556
42.22861 1
42.306666
42.323333
39.741667
37.695833
39.303056
39.303056
39.104722
38.437778
38.437778
37.896944
38.641389
43.075278
39.464967
Longitude
-112.14257
-112.11814
-112.095
-118.41654
-105.26719
-104.98762
-104.93996
-104.99808
-105.07035
-73.194722
-72.631667
-73.07908
-72.902778
-92.513056
-92.513056
-90.177444
-91 .67861 1
-91 .67861 1
-95.043868
-94.693333
-93.643234
-90.5875
-90.618611
-92.006318
-94.635556
-83.890833
-83.670278
-84.534722
-85.541944
-85.671389
-84.891 944
-82.456389
-85.95027
-85.95027
-83.599722
-83.208333
-83.148889
-83.06861 1
-94.858333
-94.0375
-94.376389
-94.376389
-94.570556
-90.361389
-90.361389
-90.422222
-90.345833
-70.748056
-74.448902
B53
-------
340030004
340070003
340110007
340171003
340190001
340230006
340390004
36081 01 24
361 01 0003
371190041
390250022
390350060
390490029
390490034
390610040
390810017
390853002
390933002
391030003
391530017
4001 90297
400270049
400430860
400710602
401091037
401210415
401430174
401431127
420070014
420110010
420110011
42071 0007
420910013
421 330008
450450008
500030004
500070007
500070014
50021 0002
550090005
550250041
550270007
550590019
55071 0007
550790026
550790059
550890009
551091002
551 1 1 0007
551198001
551 330027
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NY
NY
NC
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OK
OK
OK
OK
OK
OK
OK
OK
PA
PA
PA
PA
PA
PA
SC
VT
VT
VT
VT
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Bergen
Camden
Cumberland
Hudson
Hunterdon
Middlesex
Union
Queens
Steuben
Mecklenburg
Clermont
Cuyahoga
Franklin
Franklin
Hamilton
Jefferson
Lake
Lorain
Medina
Summit
Carter
Cleveland
Dewey
Kay
Oklahoma
Pittsburg
Tulsa
Tulsa
Beaver
Berks
Berks
Lancaster
Montgomery
York
Greenville
Bennington
Chittenden
Chittenden
Rutland
Brown
Dane
Dodge
Kenosha
Manitowoc
Milwaukee
Milwaukee
Ozaukee
St Croix
Sauk
Taylor
Waukesha
40.85435
39.92304
39.42227
40.72545
40.51527
40.47279
40.64144
40.7362
42.09071
35.240278
39.082319
41 .493955
40.086667
40.0025
39.128611
40.366104
41 .7225
41 .463056
41.102778
41 .063333
34.257125
35.320105
36.158414
36.705328
35.614131
34.90227
35.953708
36.204902
40.747778
40.392694
40.38335
40.046667
40.112222
39.965278
34.838814
42.88759
44.52839
44.4762
43.608056
44.516667
43.100833
43.435
42.504722
44.138611
43.061111
42.955
43.498056
45.124444
43.435556
45.203889
43.020278
-73.96825
-75.09762
-75.0252
-74.05229
-74.80666
-74.42251
-74.20836
-73.82317
-77.21025
-80.785556
-84.144193
-81 .678542
-82.815556
-82.994444
-84.504167
-80.615002
-81 .241 944
-82.114444
-81.911667
-81 .46861 1
-97.474341
-97.484099
-98.931973
-97.087656
-97.475083
-95.784375
-96.004975
-95.976537
-80.316667
-75.925222
-75.9686
-76.283333
-75.309167
-76.699444
-82.402914
-73.24984
-72.86884
-73.2106
-72.982778
-87.993889
-89.357222
-88.527778
-87.8093
-87.616111
-87.9125
-87.934167
-87.81
-92.6625
-89.680278
-90.6
-88.215
B54
-------
Table B12. Raw SC Geographic Information for 2007
AQSJD
010890014
01 0970003
01 1 1 90002
021100004
0401 91 030
0401 91 032
0401 91 034
0401 91113
040198031
040230004
04027801 1
050350005
051191008
051390006
051430004
051430005
060070002
060074001
0601 1 1 002
0601 52003
0601 90008
0601 93002
060210003
060232002
060250005
060250006
060271 01 8
06029001 4
060379034
060410003
060431001
060610006
060631 006
060631 007
060631 009
060670006
06067001 0
06067001 1
06067001 2
060730003
060731 002
060731 006
060731 01 0
060771 002
060990005
061010003
061072002
061110007
061110009
061111004
SC_ Method
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
State
AL
AL
AL
AK
AZ
AZ
AZ
AZ
AZ
AZ
AZ
AR
AR
AR
AR
AR
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
County
Madison
Mobile
Sumter
Juneau
Pima
Pima
Pima
Pima
Pima
Santa Cruz
Yuma
Crittenden
Pulaski
Union
Washington
Washington
Butte
Butte
Colusa
Del Norte
Fresno
Fresno
Glenn
Humboldt
Imperial
Imperial
Inyo
Kern
Los Angeles
Marin
Mariposa
Placer
Plumas
Plumas
Plumas
Sacramento
Sacramento
Sacramento
Sacramento
San Diego
San Diego
San Diego
San Diego
San Joaquin
Stanislaus
Sutler
Tulare
Ventura
Ventura
Ventura
Latitude
34.68767
30.769722
32.363889
58.388889
31 .87952
32.17295
32.38082
32.2518
31 .8273
31 .337204
32.690278
35.196667
34.681667
33.215
36.045751
36.179708
39.7575
39.321667
39.203056
41.513803
36.781389
36.60722
39.533889
41.191944
32.676111
32.677778
36.595556
35.3561 1 1
34.81 3056
38.126944
37.745833
38.745833
39.937222
40.31
39.808333
38.614167
38.558333
38.301944
38.683889
32.791389
33.127778
32.833333
32.701389
37.950833
37.641667
39.138889
36.332222
34.21
34.40461 1
34.448333
Longitude
-86.58637
-88.0875
-88.201944
-134.56556
-110.99644
-110.98005
-111.12716
-110.9653
-111.0113
-110.93672
-114.61444
-90.191111
-92.328333
-92.668889
-94.168978
-94.116687
-1 21 .84222
-121.66861
-122.01667
-123.99628
-119.77222
-119.53972
-122.19083
-123.69028
-115.48333
-115.38972
-118.04917
-119.04028
-118.88389
-122.91389
-119.60278
-121.26528
-120.93778
-121.21806
-120.47167
-121.36694
-121.49194
-1 21 .42222
-121.16278
-116.94167
-117.07417
-116.75
-117.15278
-121.2675
-120.99361
-121.6175
-119.29028
-118.86944
-118.81
-119.23028
B55
-------
061112002
061113001
061130004
080010006
080130003
080130003
08077001 7
08077001 7
081230006
081230006
081230006
090011123
090050005
090090027
090092123
090110124
100010002
100031012
100032004
100051002
120090007
120090011
120111002
120210004
120230002
120310098
120310100
120470015
120570030
120571065
120573002
120590004
120690003
120730012
120731005
120830003
120861016
120866001
120952002
120990009
121030018
121035002
121056006
121111002
121275002
160010010
160010010
160010017
160010017
160090010
160090010
160170005
160170005
Met-One BAM W/PM2.5 SCO-Beta Attenuation
Met-One BAM W/PM2.5 SCO-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
CA
CA
CA
CO
CO
CO
CO
CO
CO
CO
CO
CT
CT
CT
CT
CT
DE
DE
DE
DE
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
ID
ID
ID
ID
ID
ID
ID
ID
Ventura
Ventura
Yolo
Adams
Boulder
Boulder
Mesa
Mesa
Weld
Weld
Weld
Fairfield
Litchfield
New Haven
New Haven
New London
Kent
New Castle
New Castle
Sussex
Brevard
Brevard
Broward
Collier
Columbia
Duval
Duval
Hamilton
Hillsborough
Hillsborough
Hillsborough
Holmes
Lake
Leon
Leon
Marion
Miami-Dade
Miami-Dade
Orange
Palm Beach
Pinellas
Pinellas
Polk
St Lucie
Volusia
Ada
Ada
Ada
Ada
Benewah
Benewah
Bonner
Bonner
34.2775
34.255
38.533333
39.825739
40.165833
40.165833
39.063625
39.063625
40.414722
40.414722
40.414722
41 .3991 67
41.821389
41.301111
41 .550556
41.6
38.984722
39.691944
39.739444
38.644444
28.053889
28.46938
26.082778
26.27
30.178056
30.135556
30.261
30.411111
27.931944
27.892222
27.96565
30.8475
29.014
30.439722
30.266944
29.170278
25.794167
25.471389
28.599444
26.731
27.785556
28.09
28.029167
27.448889
29.206667
43.607568
43.607568
43.577603
43.577603
47.316667
47.316667
48.2675
48.2675
-118.68472
-119.1425
-121.775
-104.93699
-105.10111
-105.10111
-108.56102
-108.56102
-104.70611
-104.70611
-104.70611
-73.443056
-73.297222
-72.902778
-73.04361 1
-72.07887
-75.555556
-75.761667
-75.558056
-75.613056
-80.62861 1
-80.66683
-80.237778
-81.711
-82.619444
-81.634167
-81 .454
-82.78361 1
-82.509722
-82.53861 1
-82.2304
-85.604444
-81.64119
-84.348333
-84.428333
-82.100833
-80.2061 1 1
-80.483333
-81 .363056
-80.234
-82.74
-82.700833
-81 .972222
-80.40833
-81 .053056
-116.34843
-116.34843
-116.17816
-116.17816
-116.57028
-116.57028
-116.57222
-116.57222
B56
-------
160270008
160270008
160490003
160690013
160690014
170310001
170310022
170310057
170310076
170314201
170316006
170434002
170650002
170990007
171110001
171150013
171430037
171630010
180431004
180970078
180970081
181270024
181410015
181670018
191130037
201070002
201950001
211110027
211110043
211110048
211110051
212218001
230010011
230090103
2301 90002
23021 0004
2401 50003
240230002
240330030
240430009
2451 00040
2601 7001 4
2601 7001 4
260490021
260490021
26065001 2
26065001 2
260770008
260770008
260810020
260810020
261130001
261130001
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
ID
ID
ID
ID
ID
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IN
IN
IN
IN
IN
IN
IA
KS
KS
KY
KY
KY
KY
KY
ME
ME
ME
ME
MD
MD
MD
MD
MD
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Canyon
Canyon
Idaho
Nez Perce
Nez Perce
Cook
Cook
Cook
Cook
Cook
Cook
Du Page
Hamilton
La Salle
Me Henry
Macon
Peoria
St Clair
Floyd
Marion
Marion
Porter
St Joseph
Vigo
Linn
Linn
Trego
Jefferson
Jefferson
Jefferson
Jefferson
Trigg
Androscoggin
Hancock
Penobscot
Piscataquis
Cecil
Garrett
Prince Georges
Washington
Baltimore City
Bay
Bay
Genesee
Genesee
Ingham
Ingham
Kalamazoo
Kalamazoo
Kent
Kent
Missaukee
Missaukee
43.787147
43.787147
46.2094
46.3972
46.335
41 .672745
41 .6891 95
41 .91 4733
41.751369
42.14
41 .874944
41.771195
38.083942
41 .2931 25
42.221421
39.866944
40.698886
38.612222
38.308056
39.811097
39.788903
41.6175
41 .696692
39.4861 1 1
42.008333
38.135833
38.770278
38.137222
38.233222
38.240556
38.060833
36.783889
44.089444
44.37705
44.798849
45.464926
39.701111
39.705916
39.055277
39.565556
39.298056
43.571389
43.571389
43.04722
43.04722
42.73861 1
42.73861 1
42.278056
42.278056
42.984167
42.984167
44.31 0556
44.31 0556
-116.95958
-116.95958
-116.0275
-116.8062
-116.5359
-87.732457
-87.539318
-87.722725
-87.713745
-87.799167
-87.825876
-88.152502
-88.624942
-89.049242
-88.2421
-88.925556
-89.584741
-90.160278
-85.834167
-86.114469
-86.214628
-87.199167
-86.214683
-87.401389
-91.678611
-94.731944
-99.76361 1
-85.578333
-85.825278
-85.731667
-85.8961 1 1
-87.851944
-70.215
-68.2609
-68.769745
-69.592266
-75.86
-79.012028
-76.878333
-77.721944
-76.604722
-83.890833
-83.890833
-83.670278
-83.670278
-84.534722
-84.534722
-85.541944
-85.541944
-85.671389
-85.671389
-84.891944
-84.891944
B57
-------
261 470005
261 470005
261 530001
261 530001
261610008
261610008
261630001
261630001
261630033
261630033
261630038
261630038
261630039
261630039
295100085
330050007
330074002
33009001 0
330110020
330115001
350359017
350559016
360010005
360050110
360050112
360050113
360290005
360291 01 3
360291 01 4
360291 01 5
360296002
360310003
360470052
360470118
360470121
360551 007
360590005
36061 0062
360610115
360610117
360610119
36061 01 25
36061 01 28
36061 01 34
36061 01 35
360632008
360652001
36071 0002
36081 01 20
36081 01 24
3608501 1 1
360850114
361010003
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 WINS w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
MO
NH
NH
NH
NH
NH
NM
NM
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
St Clair
St Clair
Schoolcraft
Schoolcraft
Washtenaw
Washtenaw
Wayne
Wayne
Wayne
Wayne
Wayne
Wayne
Wayne
Wayne
St Louis City
Cheshire
Coos
Grafton
Hillsborough
Hillsborough
Otero
Taos
Albany
Bronx
Bronx
Bronx
Erie
Erie
Erie
Erie
Erie
Essex
Kings
Kings
Kings
Monroe
Nassau
New York
New York
New York
New York
New York
New York
New York
New York
Niagara
Oneida
Orange
Queens
Queens
Richmond
Richmond
Steuben
42.953333
42.953333
46.28888
46.28888
42.240556
42.240556
42.22861 1
42.22861 1
42.306666
42.306666
42.335
42.335
42.323333
42.323333
38.6563
42.930556
44.290556
43.62957
43.000556
42.861901
33.15346
36.4417
42.6424
40.81616
40.81564
40.80838
42.87684
42.988443
42.998125
42.981312
42.968563
44.39309
40.64154
40.69457
40.68577
43.146198
40.7432
40.72052
40.8489
40.72333
40.81148
40.71163
40.73003
40.7139
40.81833
43.08216
43.0994
41 .49947
40.72695
40.7362
40.57997
40.63136
42.09071
-82.456389
-82.456389
-85.95027
-85.95027
-83.599722
-83.599722
-83.208333
-83.208333
-83.148889
-83.148889
-83.1097
-83.1097
-83.06861 1
-83.06861 1
-90.1981
-72.277778
-71 .225
-72.226083
-71 .468056
-71.878613
-105.7726
-105.5469
-73.75453
-73.90207
-73.8851
-73.92604
-78.80988
-78.918589
-78.899264
-78.906425
-78.943842
-73.85892
-74.01835
-73.92778
-73.99243
-77.54813
-73.58543
-74.00409
-73.93068
-73.98231
-73.95316
-74.00514
-73.98446
-73.9956
-73.95083
-79.00099
-75.22519
-74.00973
-73.89314
-73.82317
-74.19872
-74.15717
-77.21025
B58
-------
361030009
361030010
361192004
37001 0002
37021 0034
370330001
370350004
370510009
370570002
370670022
370670030
370710016
370810013
371110004
371170001
371170001
371190041
371190041
371190042
371190042
371290002
371590021
371730002
371830014
371910005
380070002
3801 30004
380150003
3801 71 004
380250003
380530002
380570004
380650002
390010001
3901 71 004
390230005
390490028
390570005
390610006
390950024
39099001 4
391130032
391351001
391510020
391 550007
391650007
40097901 4
401159004
401359015
410597001
420010001
420030008
420030064
AUTOMATED WINS 2.5UM IMPACTOR-TEOM-GRAVIMETRIC
AUTOMATED WINS 2.5UM IMPACTOR-TEOM-GRAVIMETRIC
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
NY
NY
NY
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
ND
ND
ND
ND
ND
ND
ND
ND
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OK
OK
OK
OR
PA
PA
PA
Suffolk
Suffolk
Westchester
Alamance
Buncombe
Caswell
Catawba
Cumberland
Davidson
Forsyth
Forsyth
Gaston
Guilford
Me Dowell
Martin
Martin
Mecklenburg
Mecklenburg
Mecklenburg
Mecklenburg
New Hanover
Rowan
Swain
Wake
Wayne
Billings
Burke
Burleigh
Cass
Dunn
McKenzie
Mercer
Oliver
Adams
Butler
Clark
Franklin
Greene
Hamilton
Lucas
Mahoning
Montgomery
Preble
Stark
Trumbull
Warren
Mayes
Ottawa
Sequoyah
Umatilla
Adams
Allegheny
Allegheny
40.8275
40.82686
41 .052
36.089004
35.609722
36.307033
35.728889
35.041416
35.814444
36.110556
36.026
35.253056
36.109167
35.687404
35.81069
35.81069
35.240278
35.240278
35.151389
35.151389
34.364167
35.551868
35.435509
35.856111
35.369214
46.8943
48.64193
46.825425
46.933754
47.3132
47.5812
47.29861 1
47.185833
38.795
39.53
39.928889
39.914167
39.808056
39.278499
41.644167
41 .095868
39.760278
39.835556
40.800556
41.214167
39.427797
36.2284
36.922222
35.58175
45.667889
39.92
40.465556
40.32361 1
-73.05694
-73.05734
-73.76398
-79.407821
-82.350833
-79.467417
-81 .365556
-78.953112
-80.2625
-80.226667
-80.342
-81.153333
-79.801 1 1 1
-81 .993789
-76.89782
-76.89782
-80.785556
-80.785556
-80.866944
-80.866944
-77.83861 1
-80.395039
-83.443697
-78.574167
-77.993893
-103.37853
-102.4018
-100.76821
-96.85535
-102.5273
-103.2995
-101.76694
-1 01 .42806
-83.535278
-84.3925
-83.809722
-82.957222
-83.886944
-84.365974
-83.546667
-80.658426
-84.187778
-84.720833
-81 .373333
-80.7875
-84.202208
-95.25
-94.838889
-94.829
-118.64588
-77.31
-79.961111
-79.868333
B59
-------
420050001
420210011
420430401
420450002
420950025
421250005
440030002
440070022
440090007
4501 90046
4501 90046
450250001
450290002
450370001
450450009
450450009
45045001 0
450630008
450730001
450770002
460330132
460330132
460710001
460710001
461030020
461030020
47009001 1
470090101
470370036
470450004
470654002
470654002
470750003
470931013
470990002
471071002
471130006
471410004
471450004
471631007
471650007
481419018
51 0591 005
51 069001 0
51 087001 4
51 1 1 30003
51 6500004
517700015
560391 01 2
720170003
7201 70003
720250003
720250003
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 WINS w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 WINS w/Correction Factor-TEOM Gravimetric 50 deg C
PA
PA
PA
PA
PA
PA
Rl
Rl
Rl
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SC
SD
SD
SD
SD
SD
SD
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TX
VA
VA
VA
VA
VA
VA
WY
PR
PR
PR
PR
Armstrong
Cambria
Dauphin
Delaware
Northampton
Washington
Kent
Providence
Washington
Charleston
Charleston
Chesterfield
Colleton
Edgefield
Greenville
Greenville
Greenville
Lexington
Oconee
Pickens
Custer
Custer
Jackson
Jackson
Pennington
Pennington
Blount
Blount
Davidson
Dyer
Hamilton
Hamilton
Haywood
Knox
Lawrence
McMinn
Madison
Putnam
Roane
Sullivan
Sumner
El Paso
Fairfax
Frederick
Henrico
Madison
Hampton City
Roanoke City
Teton
Barceloneta
Barceloneta
Caguas
Caguas
40.814167
40.309722
40.245
39.835556
40.628056
40.146667
41.6156
41 .807949
41.491667
32.941023
32.941023
34.615367
33.009562
33.741693
34.901046
34.901046
34.869374
34.052805
34.805261
34.655221
43.5578
43.5578
43.74561
43.74561
44.087397
44.087397
35.768333
35.631389
36.118251
36.052778
35.050928
35.050928
35.468056
35.98055
35.116111
35.451111
35.653651
36.205
35.9386
36.540654
36.297778
31 .687006
38.837517
39.282778
37.558333
38.521944
37.003333
37.297178
44.457778
18.436111
18.436111
18.232499
18.232499
-79.565
-78.915
-76.844722
-75.3725
-75.341 1 1 1
-79.902222
-71.7199
-71.415
-71 .427778
-79.657187
-79.657187
-80.198787
-80.965042
-81 .853633
-82.31307
-82.31307
-82.422593
-81.15495
-83.2377
-82.838653
-103.4839
-103.4839
-101.94122
-101.94122
-103.27378
-103.27378
-83.942222
-83.94361 1
-86.873547
-89.381 944
-85.292975
-85.292975
-89.167778
-83.93277
-87.47
-84.599167
-88.809084
-85.399444
-84.5438
-82.521667
-86.652778
-106.32294
-77.163231
-78.081389
-77.400278
-78.4361 1 1
-76.399167
-79.95557
-110.82917
-66.580556
-66.580556
-66.037023
-66.037023
B60
-------
720330008
720330009
72057001 0
72059001 7
72059001 7
80002001 2
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 WINS w/Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PR
PR
PR
PR
PR
MX
Catano
Catano
Guyama
Guyanilla
Guyanilla
Baja California
18.440028
18.449964
1 7.959005
18.025175
18.025175
32.629167
-66.127076
-66.149043
-66.166681
-66.770175
-66.770175
-115.44694
(N. B.: State abbreviations PR and MX refer to Puerto Rico and Mexico, respectively.)
'Approximately 3 km south of the California border near Mexican, Baja California, Mexico.
B61
-------
B62
-------
Appendix C
Table C1. Collocated Acceptable Geographic Information for 2004
Table C2. Collocated Atmospheric Geographic Information for 2004
Table C3. Collocated Raw Geographic Information for 2004
Table C4. Collocated Acceptable Geographic Information for 2005
Table C5. Collocated Atmospheric Geographic Information for 2005
Table C6. Collocated Raw Geographic Information for 2005
Table C7. Collocated Acceptable Geographic Information for 2006
Table C8. Collocated Atmospheric Geographic Information for 2006
Table C9. Collocated Raw Geographic Information for 2006
Table C10. Collocated Acceptable Geographic Information for 2007
Table C11. Collocated Atmospheric Geographic Information for 2007
Table C12. Collocated Raw Geographic Information for 2007
-------
C2
-------
Table C1. Collocated Acceptable Geographic Information for 2004
AQSJD
01 0730023
01 0730023
01 0731 005
01 0731 009
01 0731 009
010731010
010731010
01 0732003
01 0732003
01 0732006
01 0735002
01 0735003
060010007
060750005
060811001
060850005
060950004
110010043
120330004
130210012
130210012
130890002
131350002
131350002
132150008
132150008
132230003
132450091
160010011
160010011
160090011
160270004
160270004
160770011
FRM_Method
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
SC_ Method
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
State
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
CA
CA
CA
CA
CA
DC
FL
GA
GA
GA
GA
GA
GA
GA
GA
GA
ID
ID
ID
ID
ID
ID
County
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Alameda
San Francisco
San Mateo
Santa Clara
Solano
District Of
Columbia
Escambia
Bibb
Bibb
De Kalb
Gwinnett
Gwinnett
Muscogee
Muscogee
Paulding
Richmond
Ada
Ada
Benewah
Canyon
Canyon
Power
Latitude
33.553056
33.553056
33.331111
33.459722
33.459722
33.545278
33.545278
33.499722
33.499722
33.386389
33.704722
33.801667
37.6875
37.766
37.4829
37.3485
38.1027
38.918889
30.525
32.805244
32.805244
33.688007
33.963074
33.963074
32.521099
32.521099
33.92855
33.433883
43.6361 1 1
43.6361 1 1
47.338702
43.562401
43.562401
42.9125
Longitude
-86.815
-86.815
-87.00361 1
-87.305556
-87.305556
-86.549167
-86.549167
-86.924167
-86.924167
-86.816667
-86.669167
-86.9425
-121.7842
-122.3991
-122.2034
-121.895
-122.2382
-77.0125
-87.204167
-83.543628
-83.543628
-84.290325
-84.069193
-84.069193
-84.944695
-84.944695
-85.04548
-82.022414
-116.27028
-116.27028
-116.88461
-116.56323
-116.56323
-112.53556
C3
-------
160790017
160790017
160790017
180030004
180890022
180970078
180970078
181630012
220511001
220710012
221210001
2451 00040
250051 004
250095005
2501 3001 6
250250042
250250043
250270023
270370470
270530963
271095008
271230871
271377551
271453052
280110001
280470008
28049001 8
280810005
300310013
3501 3001 7
350490020
370210034
41 0090004
410170120
410290133
410294001
410330114
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
PM2.5 VSCC w/Correction Factor-TEOM Gravimetric
PM2.5 VSCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
ID
ID
ID
IN
IN
IN
IN
IN
LA
LA
LA
MD
MA
MA
MA
MA
MA
MA
MN
MN
MN
MN
MN
MN
MS
MS
MS
MS
MT
NM
NM
NC
OR
OR
OR
OR
OR
Shoshone
Shoshone
Shoshone
Allen
Lake
Marion
Marion
Vanderburgh
Jefferson
Orleans
West Baton
Rouge
Baltimore City
Bristol
Essex
Hampden
Suffolk
Suffolk
Worcester
Dakota
Hennepin
Olmsted
Ramsey
St Louis
Stearns
Bolivar
Harrison
Hinds
Lee
Gallatin
Dona Ana
Santa Fe
Buncombe
Columbia
Deschutes
Jackson
Jackson
Josephine
47.536389
47.536389
47.536389
41 .094722
41 .606667
39.811097
39.811097
38.021667
30.043333
29.994444
30.501944
39.298056
41 .6857
42.762778
42.108889
42.329444
42.362778
42.265802
44.740751
44.955396
43.996908
44.961451
46.766667
45.549839
33.746056
30.390139
32.296806
34.264917
44.657778
31 .795833
35.671111
35.609722
45.768056
44.063904
42.314078
42.426389
42.434139
-116.23667
-116.23667
-116.23667
-85.101944
-87.304722
-86.114469
-86.114469
-87.569444
-90.275
-90.102778
-91 .209722
-76.604722
-71.1698
-71.105833
-72.591389
-71 .082778
-71.054167
-71 .794835
-93.237293
-93.25827
-92.450366
-93.035894
-92.133056
-94.13345
-90.723028
-89.049722
-90.188306
-88.766222
-1 1 1 .09083
-106.5575
-105.95361
-82.350833
-122.77194
-121.31258
-122.87924
-122.85083
-123.34849
C4
-------
41 0350004
41 0390060
41 0391 009
41 039201 3
41 0430009
410510080
410510246
410610119
41 0650007
410670111
41 0671 003
470370023
471570038
530050002
530050002
530110013
530110013
530251 002
530272002
53033001 7
53033001 7
53033001 7
530330023
530330024
530330024
530330024
530330037
530330057
530330057
530330057
530330080
530330080
530330080
530470009
530530029
530530029
530530029
530611007
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
TN
TN
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
Klamath
Lane
Lane
Lane
Linn
Multnomah
Multnomah
Union
Wasco
Washington
Washington
Davidson
Shelby
Benton
Benton
Clark
Clark
Grant
Grays Harbor
King
King
King
King
King
King
King
King
King
King
King
King
King
King
Okanogan
Pierce
Pierce
Pierce
Snohomish
42.188889
44.02631 2
44.046696
43.744352
44.615648
45.496667
45.561301
45.338972
45.602399
45.4702
45.518294
36.176326
35.184167
46.218611
46.218611
45.648333
45.648333
47.130336
46.972696
47.489722
47.489722
47.489722
47.141111
47.755
47.755
47.755
47.613056
47.563333
47.563333
47.563333
47.570273
47.570273
47.570273
48.364267
47.1864
47.1864
47.1864
48.055556
-121.7225
-123.08374
-123.0177
-122.48052
-123.0916
-122.60222
-122.67878
-117.9048
-121.20335
-122.81585
-122.96705
-86.738902
-89.930278
-119.20556
-119.20556
-122.58694
-122.58694
-119.2726
-123.83047
-121.77333
-121.77333
-121.77333
-121.93306
-122.2806
-122.2806
-122.2806
-122.20167
-122.3406
-122.3406
-122.3406
-122.3086
-122.3086
-122.3086
-120.12112
-122.4517
-122.4517
-122.4517
-122.1758
C5
-------
530611007
530611007
53063001 6
53063001 6
53063001 6
53063001 6
530630047
53067001 3
53073001 5
530770009
551330027
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCO w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
Wl
Snohomish
Snohomish
Spokane
Spokane
Spokane
Spokane
Spokane
Thurston
Whatcom
Yakima
Waukesha
48.055556
48.055556
47.660833
47.660833
47.660833
47.660833
47.701111
47.028889
48.762778
46.59678
43.020278
-122.1758
-122.1758
-117.35722
-117.35722
-117.35722
-117.35722
-117.425
-122.82083
-122.44028
-120.51222
-88.215
C6
-------
Table C2. Collocated Atmospheric Geographic Information for 2004
AQSJD
080310002
191130037
202090021
260050003
260490021
26065001 2
260770008
260810020
261130001
261450018
261470005
261610008
261630001
261630033
290390001
3301 5001 4
390810017
391530017
42007001 4
420110009
420710007
420910013
421330008
450450008
500030004
50007001 4
500210002
550090005
550270007
550270007
55059001 9
550710007
550790026
550790059
550890009
FRM_Method
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
SC_Method
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
State
CO
IA
KS
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
MO
NH
OH
OH
PA
PA
PA
PA
PA
SC
VT
VT
VT
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
County
Denver
Linn
Wyandotte
Allegan
Genesee
Ingham
Kalamazoo
Kent
Missaukee
Saginaw
St Clair
Washtenaw
Wayne
Wayne
Cedar
Rockingham
Jefferson
Summit
Beaver
Berks
Lancaster
Montgomery
York
Greenville
Bennington
Chittenden
Rutland
Brown
Dodge
Dodge
Kenosha
Manitowoc
Milwaukee
Milwaukee
Ozaukee
Latitude
39.751185
42.008333
39.1175
42.767778
43.04722
42.73861 1
42.278056
42.984167
44.310556
43.508333
42.953333
42.240556
42.22861 1
42.306666
37.695833
43.075278
40.366104
41 .063333
40.747778
40.320278
40.046667
40.112222
39.965278
34.838814
42.88759
44.4762
43.608056
44.516667
43.435
43.435
42.504722
44.138611
43.061111
42.955
43.498056
Longitude
-1 04.98762
-91.678611
-94.635556
-86.148611
-83.670278
-84.534722
-85.541944
-85.671389
-84.891 944
-83.968056
-82.456389
-83.599722
-83.208333
-83.148889
-94.0375
-70.748056
-80.615002
-81 .46861 1
-80.316667
-75.926667
-76.283333
-75.309167
-76.699444
-82.40291 4
-73.24984
-73.2106
-72.982778
-87.993889
-88.527778
-88.527778
-87.8093
-87.616111
-87.9125
-87.934167
-87.81
C7
-------
551091002
551110007
551198001
551330027
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
Wl
Wl
Wl
Wl
St Croix
Sauk
Taylor
Waukesha
45.124444
43.435556
45.203889
43.020278
-92.6625
-89.680278
-90.6
-88.215
C8
-------
Table C3. Collocated Raw Geographic Information for 2004
AQSJD
01 089001 4
01 0970003
01 1 1 90002
060070002
0601 1 1 002
0601 7001 1
0601 90008
060250005
06029001 4
06029001 4
060610006
060631 009
060670006
06067001 0
060990005
061010003
061072002
061072002
061112002
080010006
080010006
080010006
081230006
081230006
081230006
090010010
090031 01 8
090090027
090091123
090092123
100010002
100032004
120111002
120310098
120570030
FRM_Method
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Thermo Electron Model RAAS2.5-300 Sequential w/VSCC
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
SC_Method
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
AUTOMATED WINS 2.5UM IMPACTOR-TEOM-GRAVIMETRIC
AUTOMATED WINS 2.5UM IMPACTOR-TEOM-GRAVIMETRIC
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
State
AL
AL
AL
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CO
CO
CO
CO
CO
CO
CT
CT
CT
CT
CT
DE
DE
FL
FL
FL
County
Madison
Mobile
Sumter
Butte
Colusa
El Dorado
Fresno
Imperial
Kern
Kern
Placer
Plumas
Sacramento
Sacramento
Stanislaus
Sutter
Tulare
Tulare
Ventura
Adams
Adams
Adams
Weld
Weld
Weld
Fairfield
Hartford
New Haven
New Haven
New Haven
Kent
New Castle
Broward
Duval
Hillsborough
Latitude
34.68767
30.769722
32.363889
39.7575
39.203056
38.945
36.781389
32.676111
35.3561 1 1
35.3561 1 1
38.745833
39.808333
38.614167
38.558333
37.641667
39.138889
36.332222
36.332222
34.2775
39.825739
39.825739
39.825739
40.41 4722
40.414722
40.414722
41.170833
41 .760833
41.301111
41.310833
41 .550556
38.984722
39.739444
26.082778
30.135556
27.931944
Longitude
-86.58637
-88.0875
-88.201944
-1 21 .84222
-122.01667
-119.96889
-119.77222
-115.48333
-119.04028
-119.04028
-121.26528
-120.47167
-121.36694
-121.49194
-120.99361
-121.6175
-119.29028
-119.29028
-118.68472
-104.93699
-104.93699
-104.93699
-104.70611
-104.70611
-104.70611
-73.194722
-72.670833
-72.902778
-72.916944
-73.04361 1
-75.555556
-75.558056
-80.237778
-81.634167
-82.509722
C9
-------
120730012
120861016
120866001
120952002
121030018
160010011
160050015
160050015
160050015
160150002
160170005
160170005
160190013
160190013
160190013
160270004
160290003
160290003
160290003
160450001
160490002
160490003
160590004
160590004
160590004
160690012
160790017
170310022
170310057
170310076
170314007
170434002
171150013
171630010
180030004
180431004
180892004
180970078
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
FL
FL
FL
FL
FL
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
IL
IL
IL
IL
IL
IL
IL
IN
IN
IN
IN
Leon
Miami-Dade
Miami-Dade
Orange
Pinellas
Ada
Bannock
Bannock
Bannock
Boise
Bonner
Bonner
Bonneville
Bonneville
Bonneville
Canyon
Caribou
Caribou
Caribou
Gem
Idaho
Idaho
Lemhi
Lemhi
Lemhi
Nez Perce
Shoshone
Cook
Cook
Cook
Cook
Du Page
Macon
St Clair
Allen
Floyd
Lake
Marion
30.439722
25.794167
25.471389
28.599444
27.785556
43.6361 1 1
42.876725
42.876725
42.876725
44.104498
48.2675
48.2675
43.518267
43.518267
43.518267
43.562401
42.661298
42.661298
42.661298
43.856442
45.931389
46.2094
45.170556
45.170556
45.170556
46.404722
47.536389
41.689195
41.914733
41.751369
42.060278
41.771195
39.866944
38.612222
41 .094722
38.308056
41 .585278
39.811097
-84.348333
-80.2061 1 1
-80.483333
-81 .363056
-82.74
-116.27028
-1 1 2.46035
-112.46035
-112.46035
-115.97239
-116.57222
-116.57222
-112.02071
-112.02071
-112.02071
-116.56323
-111.59144
-111.59144
-111.59144
-116.51546
-116.11528
-116.0275
-113.89222
-113.89222
-113.89222
-116.96889
-116.23667
-87.539318
-87.722725
-87.713745
-87.863333
-88.152502
-88.925556
-90.160278
-85.101944
-85.834167
-87.474444
-86.114469
CIO
-------
180970078
181270024
181411008
181630012
181670018
191130037
191370002
191370002
191530030
191630015
191630015
191770005
191770005
191770006
201070002
211110043
211110048
211110051
230010011
230050027
230090103
2301 90002
2451 00040
26065001 2
260810020
261130001
261470005
261610008
261630001
261630033
2951 00085
330090008
330110020
330115001
340070003
340070003
340230006
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 WINS w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
IN
IN
IN
IN
IN
IA
IA
IA
IA
IA
IA
IA
IA
IA
KS
KY
KY
KY
ME
ME
ME
ME
MD
Ml
Ml
Ml
Ml
Ml
Ml
Ml
MO
NH
NH
NH
NJ
NJ
NJ
Marion
Porter
St Joseph
Vanderburgh
Vigo
Linn
Montgomery
Montgomery
Polk
Scott
Scott
Van Buren
Van Buren
Van Buren
Linn
Jefferson
Jefferson
Jefferson
Androscoggin
Cumberland
Hancock
Penobscot
Baltimore
City
Ingham
Kent
Missaukee
St Clair
Washtenaw
Wayne
Wayne
St Louis City
Grafton
Hillsborough
Hillsborough
Camden
Camden
Middlesex
39.811097
41.6175
41 .69361 1
38.021667
39.4861 1 1
42.008333
40.971211
40.971211
41 .6031 32
41.53
41.53
40.689167
40.689167
40.695078
38.135833
38.233222
38.240556
38.060833
44.089444
43.661 944
44.37705
44.798849
39.298056
42.73861 1
42.984167
44.310556
42.953333
42.240556
42.22861 1
42.306666
38.6563
44.083889
43.000556
42.861901
39.92304
39.92304
40.47279
-86.114469
-87.199167
-86.236667
-87.569444
-87.401389
-91 .67861 1
-95.043868
-95.043868
-93.643234
-90.5875
-90.5875
-91 .994444
-91 .994444
-92.006318
-94.731944
-85.825278
-85.731667
-85.8961 1 1
-70.215
-70.265833
-68.2609
-68.769745
-76.604722
-84.534722
-85.671389
-84.891944
-82.456389
-83.599722
-83.208333
-83.148889
-90.1981
-72.01
-71 .468056
-71.878613
-75.09762
-75.09762
-74.42251
Cll
-------
340390004
340390004
350439004
360010005
360050110
360290005
360310003
360551 007
360556001
360610062
360632008
360632008
360710002
360810124
360810124
370210034
370350004
370510009
370570002
370570003
370670022
370810013
371110004
371170001
371190041
371190042
371290002
371730002
371830014
380070002
380070002
3801 30002
3801 30002
3801 71 004
3801 71 004
380530002
380530002
380570004
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
NJ
NJ
NM
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
ND
ND
ND
ND
ND
ND
ND
ND
ND
Union
Union
Sandoval
Albany
Bronx
Erie
Essex
Monroe
Monroe
New York
Niagara
Niagara
Orange
Queens
Queens
Buncombe
Catawba
Cumberland
Davidson
Davidson
Forsyth
Guilford
Me Dowell
Martin
Mecklenburg
Mecklenburg
New Hanover
Swain
Wake
Billings
Billings
Burke
Burke
Cass
Cass
McKenzie
McKenzie
Mercer
40.64144
40.64144
35.615278
42.6424
40.81616
42.87684
44.39309
43.146198
43.161
40.72052
43.08216
43.08216
41 .49947
40.7362
40.7362
35.609722
35.728889
35.041416
35.814444
35.77881
36.110556
36.109167
35.687404
35.81069
35.240278
35.151389
34.364167
35.435509
35.856111
46.8943
46.8943
48.9904
48.9904
46.933754
46.933754
47.5812
47.5812
47.29861 1
-74.20836
-74.20836
-106.72444
-73.75453
-73.90207
-78.80988
-73.85892
-77.54813
-77.60357
-74.00409
-79.00099
-79.00099
-74.00973
-73.82317
-73.82317
-82.350833
-81 .365556
-78.953112
-80.2625
-80.30236
-80.226667
-79.801 1 1 1
-81 .993789
-76.89782
-80.785556
-80.866944
-77.83861 1
-83.443697
-78.574167
-103.37853
-103.37853
-102.7815
-102.7815
-96.85535
-96.85535
-103.2995
-103.2995
-101.76694
C12
-------
380570004
3901 71 004
390610040
390933002
390950024
39099001 4
391130031
391130032
391351001
391510020
391530017
40097901 4
401091037
401431127
420010001
420030008
420030064
420210011
420430401
420950025
450250001
450250001
450370001
450450008
450450008
450450009
450730001
461030020
470654002
470931 01 3
470990002
471650007
481130069
481350003
481390015
481410053
481670014
481670014
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
ND
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OK
OK
OK
PA
PA
PA
PA
PA
PA
SC
SC
SC
SC
SC
SC
SC
SD
TN
TN
TN
TN
TX
TX
TX
TX
TX
TX
Mercer
Butler
Hamilton
Lorain
Lucas
Mahoning
Montgomery
Montgomery
Preble
Stark
Summit
Mayes
Oklahoma
Tulsa
Adams
Allegheny
Allegheny
Cambria
Dauphin
Northampton
Chesterfield
Chesterfield
Edgefield
Greenville
Greenville
Greenville
Oconee
Pennington
Hamilton
Knox
Lawrence
Sumner
Dallas
Ector
Ellis
El Paso
Galveston
Galveston
47.29861 1
39.53
39.128611
41 .463056
41.644167
41 .095868
39.759444
39.760278
39.835556
40.800556
41 .063333
36.2284
35.614131
36.204902
39.92
40.465556
40.32361 1
40.309722
40.245
40.628056
34.615367
34.615367
33.741693
34.838814
34.838814
34.901 046
34.805261
44.087397
35.050928
35.98055
35.116111
36.297778
32.819952
31 .826578
32.436944
31.758516
29.263319
29.263319
-101.76694
-84.3925
-84.5041 67
-82.114444
-83.546667
-80.658426
-84.144444
-84.187778
-84.720833
-81 .373333
-81 .46861 1
-95.25
-97.475083
-95.976537
-77.31
-79.961111
-79.868333
-78.915
-76.844722
-75.341 1 1 1
-80.198787
-80.198787
-81 .853633
-82.402914
-82.402914
-82.31307
-83.2377
-103.27378
-85.292975
-83.93277
-87.47
-86.652778
-96.860082
-102.34198
-97.025
-106.50105
-94.856568
-94.856568
C13
-------
482010024
482010024
482010026
482010026
482011034
482011035
482011035
482030002
4821 50043
482450021
482450021
482450022
482570005
48273031 4
483030001
483390078
483390078
483611100
483750005
484391 006
490353006
490353006
51 0591 005
51 087001 4
51 6500004
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 WINS w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 WINS w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
UT
UT
VA
VA
VA
Harris
Harris
Harris
Harris
Harris
Harris
Harris
Harrison
Hidalgo
Jefferson
Jefferson
Jefferson
Kaufman
Kleberg
Lubbock
Montgomery
Montgomery
Orange
Potter
Tarrant
Salt Lake
Salt Lake
Fairfax
Henri co
Hampton City
29.901111
29.901111
29.8025
29.8025
29.767993
29.733713
29.733713
32.669003
26.226238
29.922778
29.922778
29.863951
32.569167
27.42694
33.590851
30.3503
30.3503
30.194167
35.209963
32.758889
40.736389
40.736389
38.837517
37.558333
37.003333
-95.326944
-95.326944
-95.12555
-95.12555
-95.220576
-95.257591
-95.257591
-94.167449
-98.291064
-93.908889
-93.908889
-94.317757
-96.315833
-97.29861
-101.84759
-95.425135
-95.425135
-93.866944
-101.83192
-97.342222
-1 1 1 .87222
-1 1 1 .87222
-77.163231
-77.400278
-76.399167
C14
-------
Table C4. Collocated Acceptable Geographic Information for 2005
AQSJD
010730023
010730023
010730023
010730023
010731005
010731009
010731009
010731010
010732003
010732003
010732006
010732006
010735002
010735002
010735003
06001 0007
060750005
060811001
060850005
060950004
110010043
1 20330004
130210012
130590002
130890002
1 31 350002
132150008
132150008
1 32230003
1 32450091
160010011
160010011
160050015
FRM_Method
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
SC_Method
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
State
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
CA
CA
CA
CA
CA
DC
FL
GA
GA
GA
GA
GA
GA
GA
GA
ID
ID
ID
County
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Alameda
San
Francisco
San Mateo
Santa Clara
Solano
District Of
Columbia
Escambia
Bibb
Clarke
De Kalb
Gwinnett
Muscogee
Muscogee
Paulding
Richmond
Ada
Ada
Bannock
Latitude
33.553056
33.553056
33.553056
33.553056
33.331111
33.459722
33.459722
33.545278
33.499722
33.499722
33.386389
33.386389
33.704722
33.704722
33.801667
37.6875
37.766
37.4829
37.3485
38.1027
38.918889
30.525
32.805244
33.917925
33.688007
33.963074
32.521099
32.521099
33.92855
33.433883
43.6361 1 1
43.6361 1 1
42.876725
Longitude
-86.815
-86.815
-86.815
-86.815
-87.00361 1
-87.305556
-87.305556
-86.549167
-86.924167
-86.924167
-86.816667
-86.816667
-86.669167
-86.669167
-86.9425
-121.7842
-122.3991
-122.2034
-121.895
-122.2382
-77.0125
-87.204167
-83.543628
-83.344512
-84.290325
-84.069193
-84.944695
-84.944695
-85.04548
-82.022414
-116.27028
-116.27028
-112.46035
CIS
-------
160050015
160090011
1 60270004
1 60270004
1 60590004
160770011
160790017
160790017
1 80030004
1 80890022
1 80970078
1 80970078
1 81 570008
181630012
220330009
220511001
220511001
220710012
221210001
245100040
250051004
250051004
250092006
250092006
250095005
250095005
250130016
250250042
250250042
250250043
250270023
250270023
270370470
270530963
271 095008
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
ID
ID
ID
ID
ID
ID
ID
ID
IN
IN
IN
IN
IN
IN
LA
LA
LA
LA
LA
MD
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MN
MN
MN
Bannock
Benewah
Canyon
Canyon
Lemhi
Power
Shoshone
Shoshone
Allen
Lake
Marion
Marion
Tippecanoe
Vanderburgh
East Baton
Rouge
Jefferson
Jefferson
Orleans
West Baton
Rouge
Baltimore
City
Bristol
Bristol
Essex
Essex
Essex
Essex
Hampden
Suffolk
Suffolk
Suffolk
Worcester
Worcester
Dakota
Hennepin
Olmsted
42.876725
47.338702
43.562401
43.562401
45.170556
42.9125
47.536389
47.536389
41 .094722
41 .606667
39.811097
39.811097
40.431639
38.021667
30.461111
30.043333
30.043333
29.994444
30.501944
39.298056
41 .6857
41 .6857
42.474444
42.474444
42.762778
42.762778
42.108889
42.329444
42.329444
42.362778
42.265802
42.265802
44.740751
44.955396
43.996908
-112.46035
-116.88461
-116.56323
-116.56323
-113.89222
-112.53556
-116.23667
-116.23667
-85.101944
-87.304722
-86.114469
-86.114469
-86.8525
-87.569444
-91.176944
-90.275
-90.275
-90.102778
-91 .209722
-76.604722
-71.1698
-71.1698
-70.9725
-70.9725
-71.105833
-71.105833
-72.591389
-71 .082778
-71 .082778
-71.054167
-71 .794835
-71 .794835
-93.237293
-93.25827
-92.450366
C16
-------
271 230871
271 377551
271 453052
280110001
280470008
280470008
280470008
280490018
28081 0005
300310013
300530018
30081 0007
310550019
350130017
350250008
350490020
37021 0034
371190041
371190042
410090004
410190002
410290133
410294001
410330011
410350004
410390060
410391009
410392013
410430009
410510080
410510246
410610119
410650007
410670004
410670111
450450008
470370023
471 570038
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Met-One BAM W/PM2.5 SCO-Beta Attenuation
Met-One BAM W/PM2.5 SCO-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
MN
MN
MN
MS
MS
MS
MS
MS
MS
MT
MT
MT
NE
NM
NM
NM
NC
NC
NC
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
SC
TN
TN
Ramsey
St Louis
Stearns
Bolivar
Harrison
Harrison
Harrison
Hinds
Lee
Gallatin
Lincoln
Ravalli
Douglas
Dona Ana
Lea
Santa Fe
Buncombe
Mecklenburg
Mecklenburg
Columbia
Douglas
Jackson
Jackson
Josephine
Klamath
Lane
Lane
Lane
Linn
Multnomah
Multnomah
Union
Wasco
Washington
Washington
Greenville
Davidson
Shelby
44.961451
46.766667
45.549839
33.746056
30.390139
30.390139
30.390139
32.296806
34.264917
44.657778
48.384167
46.245633
41 .247222
31 .795833
32.726656
35.671111
35.609722
35.240278
35.151389
45.768056
43.22769
42.314078
42.426389
42.289722
42.188889
44.02631 2
44.046696
43.744352
44.615648
45.496667
45.561301
45.338972
45.602399
45.52853
45.4702
34.838814
36.176326
35.184167
-93.035894
-92.133056
-94.13345
-90.723028
-89.049722
-89.049722
-89.049722
-90.188306
-88.766222
-1 1 1 .09083
-115.54806
-114.15886
-95.975556
-106.5575
-103.12292
-105.95361
-82.350833
-80.785556
-80.866944
-122.77194
-123.3644
-122.87924
-122.85083
-123.2325
-121.7225
-123.08374
-123.0177
-122.48052
-123.0916
-122.60222
-122.67878
-117.9048
-121.20335
-122.97244
-122.81585
-82.402914
-86.738902
-89.930278
C17
-------
481130069
481 350003
481390015
481 41 0037
481 41 0044
481 41 0053
481 41 0055
481670014
48201 0024
48201 0026
482011034
482011035
482030002
482150043
482450021
482450022
482570005
482730314
483030001
483390078
48361 1 1 00
483750005
483750320
484391006
484530020
530050002
530050002
530050002
530110013
530110013
530330024
530330024
530330024
530330057
530330057
530330057
530330080
530330080
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
Dallas
Ector
Ellis
El Paso
El Paso
El Paso
El Paso
Galveston
Harris
Harris
Harris
Harris
Harrison
Hidalgo
Jefferson
Jefferson
Kaufman
Kleberg
Lubbock
Montgomery
Orange
Potter
Potter
Tarrant
Travis
Benton
Benton
Benton
Clark
Clark
King
King
King
King
King
King
King
King
32.819952
31 .826578
32.436944
31 .768274
31 .765673
31.758516
31 .746752
29.263319
29.901111
29.8025
29.767993
29.733713
32.669003
26.226238
29.922778
29.863951
32.569167
27.42694
33.590851
30.3503
30.194167
35.209963
35.201588
32.758889
30.483159
46.218611
46.218611
46.218611
45.648333
45.648333
47.755
47.755
47.755
47.563333
47.563333
47.563333
47.570273
47.570273
-96.860082
-102.34198
-97.025
-106.5012
-106.45523
-106.50105
-106.40281
-94.856568
-95.326944
-95.12555
-95.220576
-95.257591
-94.167449
-98.291064
-93.908889
-94.317757
-96.315833
-97.29861
-1 01 .84759
-95.425135
-93.866944
-101.83192
-101.90924
-97.342222
-97.872266
-119.20556
-119.20556
-119.20556
-122.58694
-122.58694
-122.2806
-122.2806
-122.2806
-122.3406
-122.3406
-122.3406
-122.3086
-122.3086
CIS
-------
530330080
530470009
530530029
530530029
530530029
53061 0005
53061 0005
53061 0005
530611007
530611007
530611007
530630016
530630016
530630047
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
King
Okanogan
Pierce
Pierce
Pierce
Snohomish
Snohomish
Snohomish
Snohomish
Snohomish
Snohomish
Spokane
Spokane
Spokane
47.570273
48.364267
47.1864
47.1864
47.1864
47.8064
47.8064
47.8064
48.055556
48.055556
48.055556
47.660833
47.660833
47.701111
-122.3086
-120.12112
-122.4517
-122.4517
-122.4517
-122.3167
-122.3167
-122.3167
-122.1758
-122.1758
-122.1758
-117.35722
-117.35722
-117.425
C19
-------
Table C5. Collocated Atmospheric Geographic Information for 2005
AQSJD
010730023
010730023
040130019
040139997
08031 0002
080350004
191130037
202090021
260050003
260170014
260490021
260650012
260770008
26081 0020
261130001
261450018
261 470005
261 61 0008
261 630001
261 630033
261 630039
290390001
290470005
290990012
330090010
330110020
330150014
371190041
390250022
390810017
391 030003
391530017
401091037
401210415
401431127
FRM_ Method
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
SC_ Method
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
State
AL
AL
AZ
AZ
CO
CO
IA
KS
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
MO
MO
MO
NH
NH
NH
NC
OH
OH
OH
OH
OK
OK
OK
County
Jefferson
Jefferson
Maricopa
Maricopa
Denver
Douglas
Linn
Wyandotte
Allegan
Bay
Genesee
Ingham
Kalamazoo
Kent
Missaukee
Saginaw
St Clair
Washtenaw
Wayne
Wayne
Wayne
Cedar
Clay
Jefferson
Grafton
Hillsborough
Rockingham
Mecklenburg
Clermont
Jefferson
Medina
Summit
Oklahoma
Pittsburg
Tulsa
Latitude
33.553056
33.553056
33.48385
33.503643
39.751185
39.53448
42.008333
39.1175
42.767778
43.571389
43.04722
42.73861 1
42.278056
42.984167
44.310556
43.508333
42.953333
42.240556
42.22861 1
42.306666
42.323333
37.695833
39.303056
38.437778
43.62957
43.000556
43.075278
35.240278
39.082319
40.366104
41.102778
41 .063333
35.614131
34.90227
36.204902
Longitude
-86.815
-86.815
-112.14257
-112.095
-104.98762
-105.07035
-91.678611
-94.635556
-86.148611
-83.890833
-83.670278
-84.534722
-85.541944
-85.671389
-84.891944
-83.968056
-82.456389
-83.599722
-83.208333
-83.148889
-83.06861 1
-94.0375
-94.376389
-90.361389
-72.226083
-71 .468056
-70.748056
-80.785556
-84.144193
-80.615002
-81.911667
-81 .46861 1
-97.475083
-95.784375
-95.976537
C20
-------
420070014
420110009
42071 0007
420910013
421 330008
450450008
500030004
500070014
50021 0002
550090005
550270007
550590019
55071 0007
550790026
550790059
550890009
551091002
551 1 1 0007
551198001
551 330027
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PA
PA
PA
PA
PA
SC
VT
VT
VT
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Beaver
Berks
Lancaster
Montgomery
York
Greenville
Bennington
Chittenden
Rutland
Brown
Dodge
Kenosha
Manitowoc
Milwaukee
Milwaukee
Ozaukee
St Croix
Sauk
Taylor
Waukesha
40.747778
40.320278
40.046667
40.112222
39.965278
34.838814
42.88759
44.4762
43.608056
44.516667
43.435
42.504722
44.138611
43.061111
42.955
43.498056
45.124444
43.435556
45.203889
43.020278
-80.316667
-75.926667
-76.283333
-75.309167
-76.699444
-82.402914
-73.24984
-73.2106
-72.982778
-87.993889
-88.527778
-87.8093
-87.616111
-87.9125
-87.934167
-87.81
-92.6625
-89.680278
-90.6
-88.215
C21
-------
Table C6. Collocated Raw Geographic Information for 2005
AQSJD
010890014
010970003
011190002
040230004
050350005
051191005
051 390006
060070002
060111002
060190008
060250005
060290014
06061 0006
060631009
060670006
060670010
060771002
060990005
061 01 0003
061 072002
061 072002
061 1 1 2002
061113001
08001 0006
08001 0006
081 230006
081 230006
090010010
090050005
090090027
0900921 23
1 0001 0002
1 00032004
120111002
1 2031 0098
FRM_Method
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Thermo Electron Model RAAS2.5-300 Sequential w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
SC_Method
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
AUTOMATED WINS 2.5UM IMPACTOR-TEOM-GRAVIMETRIC
AUTOMATED WINS 2.5UM IMPACTOR-TEOM-GRAVIMETRIC
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
State
AL
AL
AL
AZ
AR
AR
AR
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CO
CO
CO
CO
CT
CT
CT
CT
DE
DE
FL
FL
County
Madison
Mobile
Sumter
Santa Cruz
Crittenden
Pulaski
Union
Butte
Colusa
Fresno
Imperial
Kern
Placer
Plumas
Sacramento
Sacramento
San Joaquin
Stanislaus
Sutter
Tula re
Tula re
Ventura
Ventura
Adams
Adams
Weld
Weld
Fairfield
Litchfield
New Haven
New Haven
Kent
New Castle
B reward
Duval
Latitude
34.68767
30.76972
32.36389
31 .3372
35.19667
34.67627
33.215
39.7575
39.20306
36.78139
32.6761 1
35.3561 1
38.74583
39.80833
38.61417
38.55833
37.95083
37.64167
39.13889
36.33222
36.33222
34.2775
34.255
39.82574
39.82574
40.41472
40.41472
41.17083
41.82139
41.30111
41 .55056
38.98472
39.73944
26.08278
30.13556
Longitude
-86.58637
-88.0875
-88.201944
-110.93672
-90.191111
-92.337164
-92.668889
-121.84222
-122.01667
-119.77222
-115.48333
-119.04028
-121.26528
-120.47167
-121.36694
-121.49194
-121.2675
-120.99361
-121.6175
-119.29028
-119.29028
-118.68472
-119.1425
-1 04.93699
-1 04.93699
-104.70611
-104.70611
-73.194722
-73.297222
-72.902778
-73.04361 1
-75.555556
-75.558056
-80.237778
-81.634167
C22
-------
1 20570030
1 20573002
120730012
120861016
1 20866001
1 20952002
121030018
121111002
160050015
160190013
1 60270008
1 60270008
1 60450001
1 60450001
1 60490003
1 60590004
1 7031 0022
1 7031 0057
1 7031 0076
1 7031 4007
1 70434002
1 70650002
1 70990007
171110001
171150013
1 71 430037
171630010
180431004
1 80892004
1 80970078
1 80970078
1 81 270024
181411008
181670018
1 90450021
1 91 370002
191471002
1 91 530030
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
FL
FL
FL
FL
FL
FL
FL
FL
ID
ID
ID
ID
ID
ID
ID
ID
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IN
IN
IN
IN
IN
IN
IN
IA
IA
IA
IA
Hillsborough
Hillsborough
Leon
Miami-Dade
Miami-Dade
Orange
Pinellas
St Lucie
Bannock
Bonneville
Canyon
Canyon
Gem
Gem
Idaho
Lemhi
Cook
Cook
Cook
Cook
Du Page
Hamilton
La Salle
Me Henry
Macon
Peoria
St Clair
Floyd
Lake
Marion
Marion
Porter
St Joseph
Vigo
Clinton
Montgomery
Palo Alto
Polk
27.93194
27.96565
30.43972
25.79417
25.47139
28.59944
27.78556
27.44889
42.87673
43.51827
43.78715
43.78715
43.85644
43.85644
46.2094
45.17056
41 .6892
41.91473
41.75137
42.06028
41.7712
38.08394
41.29313
42.22142
39.86694
40.69889
38.61222
38.30806
41 .58528
39.8111
39.8111
41.6175
41.69361
39.4861 1
41 .87497
40.97121
43.12333
41.60313
-82.509722
-82.2304
-84.348333
-80.2061 1 1
-80.483333
-81 .363056
-82.74
-80.40833
-112.46035
-112.02071
-116.95958
-116.95958
-116.51546
-116.51546
-116.0275
-113.89222
-87.539318
-87.722725
-87.713745
-87.863333
-88.152502
-88.624942
-89.049242
-88.2421
-88.925556
-89.584741
-90.160278
-85.834167
-87.474444
-86.114469
-86.114469
-87.199167
-86.236667
-87.401 389
-90.177444
-95.043868
-94.693333
-93.643234
C23
-------
191630015
191630019
1 91 770006
201 070002
211110043
211110048
211110051
230010011
230050027
2300901 03
230190002
240330030
240430009
245100040
261 630038
261 630039
295100085
320030298
320030298
320030561
320032002
330090010
330110020
330115001
340070003
340070003
340230006
340390004
340390004
350439004
36001 0005
360050110
360290005
36031 0003
360551007
36061 0062
360632008
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 WINS w/No Correction Factor-TEOM Gravimetric 30 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
IA
IA
IA
KS
KY
KY
KY
ME
ME
ME
ME
MD
MD
MD
Ml
Ml
MO
NV
NV
NV
NV
NH
NH
NH
NJ
NJ
NJ
NJ
NJ
NM
NY
NY
NY
NY
NY
NY
NY
Scott
Scott
Van Buren
Linn
Jefferson
Jefferson
Jefferson
Androscoggin
Cumberland
Hancock
Penobscot
Prince
Georges
Washington
Baltimore
City
Wayne
Wayne
St Louis City
Clark
Clark
Clark
Clark
Grafton
Hillsborough
Hillsborough
Camden
Camden
Middlesex
Union
Union
Sandoval
Albany
Bronx
Erie
Essex
Monroe
New York
Niagara
41.53
41.51778
40.69508
38.13583
38.23322
38.24056
38.06083
44.08944
43.66194
44.37705
44.79885
39.05528
39.56556
39.29806
42.335
42.32333
38.6563
36.05222
36.05222
36.16399
36.19111
43.62957
43.00056
42.8619
39.92304
39.92304
40.47279
40.64144
40.64144
35.61528
42.6424
40.81616
42.87684
44.39309
43.1462
40.72052
43.08216
-90.5875
-90.618611
-92.006318
-94.731944
-85.825278
-85.731667
-85.8961 1 1
-70.215
-70.265833
-68.2609
-68.769745
-76.878333
-77.721944
-76.604722
-83.1097
-83.06861 1
-90.1981
-115.05694
-115.05694
-115.11393
-115.12222
-72.226083
-71 .468056
-71.878613
-75.09762
-75.09762
-74.42251
-74.20836
-74.20836
-106.72444
-73.75453
-73.90207
-78.80988
-73.85892
-77.54813
-74.00409
-79.00099
C24
-------
360632008
36071 0002
36081 01 24
36081 01 24
37021 0034
370350004
37051 0009
370570002
370570003
370670022
370670030
370810013
371 1 1 0004
371170001
371190041
371190042
371 290002
371 730002
371830014
380070002
380070002
380130002
380150003
380171004
380530002
380570004
390171004
390230005
390570005
39061 0040
390933002
390950024
390990014
391130031
391130032
391351001
391 51 0020
391 550007
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
NY
NY
NY
NY
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
ND
ND
ND
ND
ND
ND
ND
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
Niagara
Orange
Queens
Queens
Buncombe
Catawba
Cumberland
Davidson
Davidson
Forsyth
Forsyth
Guilford
Me Dowell
Martin
Mecklenburg
Mecklenburg
New Hanover
Swain
Wake
Billings
Billings
Burke
Burleigh
Cass
McKenzie
Mercer
Butler
Clark
Greene
Hamilton
Lorain
Lucas
Mahoning
Montgomery
Montgomery
Preble
Stark
Trumbull
43.08216
41 .49947
40.7362
40.7362
35.60972
35.72889
35.04142
35.81444
35.77881
36.11056
36.026
36.10917
35.6874
35.81069
35.24028
35.15139
34.3641 7
35.43551
35.8561 1
46.8943
46.8943
48.9904
46.82543
46.93375
47.5812
47.29861
39.53
39.92889
39.80806
39.12861
41 .46306
41.64417
41 .09587
39.75944
39.76028
39.83556
40.80056
41.21417
-79.00099
-74.00973
-73.82317
-73.82317
-82.350833
-81 .365556
-78.953112
-80.2625
-80.30236
-80.226667
-80.342
-79.801111
-81 .993789
-76.89782
-80.785556
-80.866944
-77.83861 1
-83.443697
-78.574167
-103.37853
-103.37853
-102.7815
-100.76821
-96.85535
-103.2995
-101.76694
-84.3925
-83.809722
-83.886944
-84.504167
-82.114444
-83.546667
-80.658426
-84.144444
-84.187778
-84.720833
-81 .373333
-80.7875
C25
-------
400979014
42001 0001
420030008
420030064
420210011
420430401
420950025
440030002
440070022
450250001
450370001
450450009
450450009
450730001
4603301 32
46071 0001
461 030020
47009001 1
470450004
470654002
470990002
470990002
471071002
471130006
471130006
471251010
471 450004
471 450004
471631007
471 650007
471 650007
490050004
490353006
490570002
510591005
510870014
516500004
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
OK
PA
PA
PA
PA
PA
PA
Rl
Rl
SC
SC
SC
SC
SC
SD
SD
SD
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
UT
UT
UT
VA
VA
VA
Mayes
Adams
Allegheny
Allegheny
Cambria
Dauphin
Northampton
Kent
Providence
Chesterfield
Edgefield
Greenville
Greenville
Oconee
Custer
Jackson
Pennington
Blount
Dyer
Hamilton
Lawrence
Lawrence
McMinn
Madison
Madison
Montgomery
Roane
Roane
Sullivan
Sumner
Sumner
Cache
Salt Lake
Weber
Fairfax
Henrico
Hampton City
36.2284
39.92
40.46556
40.32361
40.30972
40.245
40.62806
41.6156
41 .80795
34.61537
33.74169
34.90105
34.90105
34.80526
43.5578
43.74561
44.0874
35.76833
36.05278
35.05093
35.11611
35.11611
35.45111
35.65365
35.65365
36.625
35.9386
35.9386
36.54065
36.29778
36.29778
41.73111
40.73639
41 .20639
38.83752
37.55833
37.00333
-95.25
-77.31
-79.961 1 1 1
-79.868333
-78.915
-76.844722
-75.341 1 1 1
-71.7199
-71.415
-80.198787
-81 .853633
-82.31307
-82.31307
-83.2377
-103.4839
-101.94122
-103.27378
-83.942222
-89.381944
-85.292975
-87.47
-87.47
-84.599167
-88.809084
-88.809084
-87.169167
-84.5438
-84.5438
-82.521667
-86.652778
-86.652778
-1 1 1 .8375
-1 1 1 .87222
-1 1 1 .97472
-77.163231
-77.400278
-76.399167
C26
-------
Table C7. Collocated Acceptable Geographic Information for 2006
AQSJD
010730023
010730023
010730023
010730023
010731005
010731005
010731009
010731009
010731010
010731010
010732003
010732003
010732006
010735002
010735002
010735003
010735003
06001 0007
060750005
060811001
060850005
060950004
110010043
1 20330004
130210012
130590002
130890002
1 31 350002
132150008
132150008
1 32230003
1 32450091
160010011
FRM_Method
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
SC_ Method
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
State
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
CA
CA
CA
CA
CA
DC
FL
GA
GA
GA
GA
GA
GA
GA
GA
ID
County
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Alameda
San
Francisco
San Mateo
Santa Clara
Solano
District Of
Columbia
Escambia
Bibb
Clarke
De Kalb
Gwinnett
Muscogee
Muscogee
Paulding
Richmond
Ada
Latitude
33.553056
33.553056
33.553056
33.553056
33.331111
33.331111
33.459722
33.459722
33.545278
33.545278
33.499722
33.499722
33.386389
33.704722
33.704722
33.801667
33.801667
37.6875
37.766
37.4829
37.3485
38.1027
38.918889
30.525
32.805244
33.917925
33.688007
33.963074
32.521099
32.521099
33.92855
33.433883
43.6361 1 1
Longitude
-86.815
-86.815
-86.815
-86.815
-87.00361 1
-87.00361 1
-87.305556
-87.305556
-86.549167
-86.549167
-86.924167
-86.924167
-86.816667
-86.669167
-86.669167
-86.9425
-86.9425
-121.7842
-122.3991
-122.2034
-121.895
-122.2382
-77.0125
-87.204167
-83.543628
-83.344512
-84.290325
-84.069193
-84.944695
-84.944695
-85.04548
-82.022414
-116.27028
C27
-------
160010011
160050015
160050015
160090011
1 60270004
1 60270004
1 60270004
1 60270004
160790017
160790017
1 80030004
1 80890022
1 80970078
1 80970078
1 81 570008
181630012
220330009
220511001
220511001
220710012
221210001
245100040
250051004
250092006
250095005
250130016
250130016
250250042
250250043
250250043
250270023
250270023
270370470
270530963
271 095008
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
IN
IN
IN
IN
IN
IN
LA
LA
LA
LA
LA
MD
MA
MA
MA
MA
MA
MA
MA
MA
MA
MA
MN
MN
MN
Ada
Bannock
Bannock
Benewah
Canyon
Canyon
Canyon
Canyon
Shoshone
Shoshone
Allen
Lake
Marion
Marion
Tippecanoe
Vanderburgh
East Baton
Rouge
Jefferson
Jefferson
Orleans
West Baton
Rouge
Baltimore
City
Bristol
Essex
Essex
Hampden
Hampden
Suffolk
Suffolk
Suffolk
Worcester
Worcester
Dakota
Hennepin
Olmsted
43.6361 1 1
42.876725
42.876725
47.338702
43.562401
43.562401
43.562401
43.562401
47.536389
47.536389
41 .094722
41 .606667
39.811097
39.811097
40.431 639
38.021667
30.461111
30.043333
30.043333
29.994444
30.501944
39.298056
41 .6857
42.474444
42.762778
42.108889
42.108889
42.329444
42.362778
42.362778
42.265802
42.265802
44.740751
44.955396
43.996908
-116.27028
-112.46035
-112.46035
-116.88461
-116.56323
-116.56323
-116.56323
-116.56323
-116.23667
-116.23667
-85.101944
-87.304722
-86.114469
-86.114469
-86.8525
-87.569444
-91.176944
-90.275
-90.275
-90.102778
-91 .209722
-76.604722
-71.1698
-70.9725
-71.105833
-72.591389
-72.591389
-71 .082778
-71.054167
-71.054167
-71 .794835
-71 .794835
-93.237293
-93.25827
-92.450366
C28
-------
271 230871
271 377551
271 453052
280110001
280470008
280470008
280490010
280490018
280590006
280590006
280750003
28081 0005
29021 0005
290390001
290470005
290950034
290990012
295100085
300310013
300530018
30081 0007
310550019
340070003
340070003
340171003
340171003
340230006
340390004
340390004
340392003
340392003
350130017
350250008
350490020
36001 0005
360050110
360290005
36031 0003
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Met-One BAM W/PM2.5 SCO-Beta Attenuation
Met-One BAM W/PM2.5 SCO-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 WINS w/No Correction Factor-TEOM Gravimetric 30 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
MN
MN
MN
MS
MS
MS
MS
MS
MS
MS
MS
MS
MO
MO
MO
MO
MO
MO
MT
MT
MT
NE
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NM
NM
NM
NY
NY
NY
NY
Ramsey
St Louis
Stearns
Bolivar
Harrison
Harrison
Hinds
Hinds
Jackson
Jackson
Lauderdale
Lee
Buchanan
Cedar
Clay
Jackson
Jefferson
St Louis City
Gallatin
Lincoln
Ravalli
Douglas
Camden
Camden
Hudson
Hudson
Middlesex
Union
Union
Union
Union
Dona Ana
Lea
Santa Fe
Albany
Bronx
Erie
Essex
44.961451
46.766667
45.549839
33.746056
30.390139
30.390139
32.385583
32.296806
30.378194
30.378194
32.364389
34.26491 7
39.741667
37.695833
39.303056
39.104722
38.437778
38.6563
44.657778
48.384167
46.245633
41 .247222
39.92304
39.92304
40.72545
40.72545
40.47279
40.64144
40.64144
40.60607
40.60607
31 .795833
32.726656
35.671111
42.6424
40.81616
42.87684
44.39309
-93.035894
-92.133056
-94.13345
-90.723028
-89.049722
-89.049722
-90.140917
-90.188306
-88.533944
-88.533944
-88.731444
-88.766222
-94.858333
-94.0375
-94.376389
-94.570556
-90.361389
-90.1981
-1 1 1 .09083
-115.54806
-114.15886
-95.975556
-75.09762
-75.09762
-74.05229
-74.05229
-74.42251
-74.20836
-74.20836
-74.27498
-74.27498
-106.5575
-103.12292
-105.95361
-73.75453
-73.90207
-78.80988
-73.85892
C29
-------
360551007
36061 0062
360632008
36071 0002
36081 01 24
361 01 0003
37021 0034
370330001
370350004
37051 0009
370570002
370670030
370710016
370810013
371 1 1 0004
371170001
371190041
371190042
371 290002
371 590021
371 730002
371830014
371 91 0005
410190002
410290133
410294001
410330114
410350004
410390060
410391009
410392013
410510080
410510246
410590121
410610119
410610119
410670004
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
NY
NY
NY
NY
NY
NY
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
Monroe
New York
Niagara
Orange
Queens
Steuben
Buncombe
Caswell
Catawba
Cumberland
Davidson
Forsyth
Gaston
Guilford
Me Dowell
Martin
Mecklenburg
Mecklenburg
New
Hanover
Rowan
Swain
Wake
Wayne
Douglas
Jackson
Jackson
Josephine
Klamath
Lane
Lane
Lane
Multnomah
Multnomah
Umatilla
Union
Union
Washington
43.146198
40.72052
43.08216
41 .49947
40.7362
42.09071
35.609722
36.307033
35.728889
35.041416
35.814444
36.026
35.253056
36.109167
35.687404
35.81069
35.240278
35.151389
34.364167
35.551868
35.435509
35.856111
35.369214
43.22769
42.314078
42.426389
42.434139
42.188889
44.026312
44.046696
43.744352
45.496667
45.561301
45.651944
45.338972
45.338972
45.52853
-77.54813
-74.00409
-79.00099
-74.00973
-73.82317
-77.21025
-82.350833
-79.467417
-81 .365556
-78.953112
-80.2625
-80.342
-81.153333
-79.801111
-81 .993789
-76.89782
-80.785556
-80.866944
-77.83861 1
-80.395039
-83.443697
-78.574167
-77.993893
-123.3644
-122.87924
-122.85083
-123.34849
-121.7225
-123.08374
-123.0177
-122.48052
-122.60222
-122.67878
-118.81861
-117.9048
-117.9048
-122.97244
C30
-------
420030008
420030064
421 01 0004
421 01 0004
421 01 0024
421 01 0024
450450008
470370023
471 570024
471 570038
481130069
481 350003
481 350003
481390016
481 41 0037
481 41 0044
481 41 0053
48201 0024
482011035
482030002
482030002
482150043
482150043
482450021
483750320
484391006
484530020
490050004
490353006
490494001
490570002
530330024
530330024
530330024
530330057
530330057
530330057
530330080
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
Correlated Radiance Research M903-Nephelometry
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
PA
PA
PA
PA
PA
PA
SC
TN
TN
TN
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
UT
UT
UT
UT
WA
WA
WA
WA
WA
WA
WA
Allegheny
Allegheny
Philadelphia
Philadelphia
Philadelphia
Philadelphia
Greenville
Davidson
Shelby
Shelby
Dallas
Ector
Ector
Ellis
El Paso
El Paso
El Paso
Harris
Harris
Harrison
Harrison
Hidalgo
Hidalgo
Jefferson
Potter
Tarrant
Travis
Cache
Salt Lake
Utah
Weber
King
King
King
King
King
King
King
40.465556
40.32361 1
40.008889
40.008889
40.076389
40.076389
34.838814
36.176326
35.150833
35.184167
32.819952
31 .826578
31 .826578
32.481 944
31 .768274
31 .765673
31.758516
29.901111
29.733713
32.669003
32.669003
26.226238
26.226238
29.922778
35.201588
32.758889
30.483159
41.731111
40.736389
40.341389
41 .206389
47.755
47.755
47.755
47.563333
47.563333
47.563333
47.570273
-79.961111
-79.868333
-75.097778
-75.097778
-75.011944
-75.011944
-82.402914
-86.738902
-90.041389
-89.930278
-96.860082
-102.34198
-102.34198
-97.0275
-106.5012
-106.45523
-106.50105
-95.326944
-95.257591
-94.167449
-94.167449
-98.291064
-98.291064
-93.908889
-101.90924
-97.342222
-97.872266
-1 1 1 .8375
-1 1 1 .87222
-111.71361
-1 1 1 .97472
-122.2806
-122.2806
-122.2806
-122.3406
-122.3406
-122.3406
-122.3086
C31
-------
530330080
530530029
530530029
530530029
53061 0005
53061 0005
53061 0005
53061 0020
530611007
530611007
530611007
530630016
530630016
540511002
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WV
King
Pierce
Pierce
Pierce
Snohomish
Snohomish
Snohomish
Snohomish
Snohomish
Snohomish
Snohomish
Spokane
Spokane
Marshall
47.570273
47.1864
47.1864
47.1864
47.8064
47.8064
47.8064
48.2469
48.055556
48.055556
48.055556
47.660833
47.660833
39.91597
-122.3086
-122.4517
-122.4517
-122.4517
-122.3167
-122.3167
-122.3167
-121.6031
-122.1758
-122.1758
-122.1758
-117.35722
-117.35722
-80.734057
C32
-------
Table C8. Collocated Atmospheric Geographic Information for 2006
AQSJD
010730023
010730023
040130019
040139997
08031 0002
080350004
080350004
090010010
090050004
090090027
190170011
1 90450021
191130037
1 91 370002
191471002
1 91 530030
191630015
191630015
191630019
1 91 770006
202090021
260050003
260170014
260490021
260650012
260770008
26081 0020
261130001
261 470005
261 61 0008
261 630001
261 630033
261 630039
29021 0005
290390001
FRM_Method
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
SC_Method
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
State
AL
AL
AZ
AZ
CO
CO
CO
CT
CT
CT
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
KS
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
MO
MO
County
Jefferson
Jefferson
Maricopa
Maricopa
Denver
Douglas
Douglas
Fairfield
Litchfield
New Haven
Bremer
Clinton
Linn
Montgomery
Palo Alto
Polk
Scott
Scott
Scott
Van Buren
Wyandotte
Allegan
Bay
Genesee
Ingham
Kalamazoo
Kent
Missaukee
St Clair
Washtenaw
Wayne
Wayne
Wayne
Buchanan
Cedar
Latitude
33.553056
33.553056
33.48385
33.503643
39.751185
39.53448
39.53448
41.170833
41 .64486
41.301111
42.743056
41 .874972
42.008333
40.971211
43.123333
41.603132
41.53
41.53
41.517778
40.695078
39.1175
42.767778
43.571389
43.04722
42.73861 1
42.278056
42.984167
44.310556
42.953333
42.240556
42.22861 1
42.306666
42.323333
39.741667
37.695833
Longitude
-86.815
-86.815
-112.14257
-112.095
-104.98762
-105.07035
-105.07035
-73.194722
-73.07908
-72.902778
-92.513056
-90.177444
-91 .67861 1
-95.043868
-94.693333
-93.643234
-90.5875
-90.5875
-90.618611
-92.006318
-94.635556
-86.148611
-83.890833
-83.670278
-84.534722
-85.541944
-85.671389
-84.891944
-82.456389
-83.599722
-83.208333
-83.148889
-83.06861 1
-94.858333
-94.0375
C33
-------
290470005
290950034
290950034
290990012
330090010
330150014
340070003
340070003
340171003
340171003
340230006
340390004
340390004
360632008
36081 01 24
361 01 0003
371190041
390250022
390350060
390610040
390810017
390853002
390933002
391 030003
391530017
401091037
401210415
401431127
420070014
420110009
420110010
42071 0007
420910013
421 330008
450450008
500030004
500070014
50021 0002
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
MO
MO
MO
MO
NH
NH
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NY
NY
NY
NC
OH
OH
OH
OH
OH
OH
OH
OH
OK
OK
OK
PA
PA
PA
PA
PA
PA
SC
VT
VT
VT
Clay
Jackson
Jackson
Jefferson
Grafton
Rockingham
Camden
Camden
Hudson
Hudson
Middlesex
Union
Union
Niagara
Queens
Steuben
Mecklenburg
Clermont
Cuyahoga
Hamilton
Jefferson
Lake
Lorain
Medina
Summit
Oklahoma
Pittsburg
Tulsa
Beaver
Berks
Berks
Lancaster
Montgomery
York
Greenville
Bennington
Chittenden
Rutland
39.303056
39.104722
39.104722
38.437778
43.62957
43.075278
39.92304
39.92304
40.72545
40.72545
40.47279
40.64144
40.64144
43.08216
40.7362
42.09071
35.240278
39.082319
41 .493955
39.128611
40.366104
41 .7225
41 .463056
41.102778
41 .063333
35.614131
34.90227
36.204902
40.747778
40.320278
40.392694
40.046667
40.112222
39.965278
34.838814
42.88759
44.4762
43.608056
-94.376389
-94.570556
-94.570556
-90.361389
-72.226083
-70.748056
-75.09762
-75.09762
-74.05229
-74.05229
-74.42251
-74.20836
-74.20836
-79.00099
-73.82317
-77.21025
-80.785556
-84.144193
-81 .678542
-84.5041 67
-80.615002
-81 .241 944
-82.114444
-81.911667
-81 .46861 1
-97.475083
-95.784375
-95.976537
-80.316667
-75.926667
-75.925222
-76.283333
-75.309167
-76.699444
-82.402914
-73.24984
-73.2106
-72.982778
C34
-------
550090005
550270007
550590019
55071 0007
550790026
550790059
550890009
551091002
551 1 1 0007
551198001
551 330027
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Brown
Dodge
Kenosha
Manitowoc
Milwaukee
Milwaukee
Ozaukee
St Croix
Sauk
Taylor
Waukesha
44.516667
43.435
42.504722
44.138611
43.061111
42.955
43.498056
45.124444
43.435556
45.203889
43.020278
-87.993889
-88.527778
-87.8093
-87.616111
-87.9125
-87.934167
-87.81
-92.6625
-89.680278
-90.6
-88.215
C35
-------
Table C9. Collocated Raw Geographic Information for 2006
AQSJD
01 089001 4
01 0970003
01 0970003
01 1 1 90002
021100004
040230004
050350005
051191005
051390006
060070002
0601 1 1 002
0601 90008
0601 90008
060250005
060250005
06029001 4
060610006
060631 009
060670006
06067001 0
060771 002
060990005
061010003
061072002
061072002
061 1 1 0009
061 1 1 2002
061 1 1 3001
080010006
080010006
0801 30003
0801 30003
0801 30003
08077001 7
08077001 7
FRM_Method
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
SC_Method
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
AUTOMATED WINS 2.5UM IMPACTOR-TEOM-GRAVIMETRIC
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
AUTOMATED WINS 2.5UM IMPACTOR-TEOM-GRAVIMETRIC
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
State
AL
AL
AL
AL
AK
AZ
AR
AR
AR
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CO
CO
CO
CO
CO
CO
CO
County
Madison
Mobile
Mobile
Sumter
Juneau
Santa Cruz
Crittenden
Pulaski
Union
Butte
Colusa
Fresno
Fresno
Imperial
Imperial
Kern
Placer
Plumas
Sacramento
Sacramento
San Joaquin
Stanislaus
Sutter
Tula re
Tula re
Ventura
Ventura
Ventura
Adams
Adams
Boulder
Boulder
Boulder
Mesa
Mesa
Latitude
34.68767
30.769722
30.769722
32.363889
58.388889
31 .337204
35.196667
34.676268
33.215
39.7575
39.203056
36.781389
36.781389
32.676111
32.676111
35.356111
38.745833
39.808333
38.614167
38.558333
37.950833
37.641667
39.138889
36.332222
36.332222
34.40461 1
34.2775
34.255
39.825739
39.825739
40.165833
40.165833
40.165833
39.063625
39.063625
Longitude
-86.58637
-88.0875
-88.0875
-88.201944
-134.56556
-110.93672
-90.191111
-92.337164
-92.668889
-1 21 .84222
-122.01667
-119.77222
-119.77222
-115.48333
-115.48333
-119.04028
-121.26528
-120.47167
-121.36694
-121.49194
-121.2675
-120.99361
-121.6175
-119.29028
-119.29028
-118.81
-118.68472
-119.1425
-104.93699
-104.93699
-105.10111
-105.10111
-105.10111
-108.56102
-108.56102
C36
-------
08077001 7
08077001 7
08077001 7
081230006
081230006
090010010
090011123
090050005
090090027
090090027
090092123
100010002
100031012
100032004
100051002
120111002
120310098
120570030
120573002
120730012
120861016
120866001
120952002
121030018
121111002
160010010
160010010
160090010
160090010
160490003
170310022
170310057
170310076
170314007
170434002
170650002
170990007
171110001
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Thermo Electron Model RAAS2.5-300 Sequential w/VSCC
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Thermo Electron Model RAAS2.5-300 Sequential w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
CO
CO
CO
CO
CO
CT
CT
CT
CT
CT
CT
DE
DE
DE
DE
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
ID
ID
ID
ID
ID
IL
IL
IL
IL
IL
IL
IL
IL
Mesa
Mesa
Mesa
Weld
Weld
Fairfield
Fairfield
Litchfield
New Haven
New Haven
New Haven
Kent
New Castle
New Castle
Sussex
Broward
Duval
Hillsborough
Hillsborough
Leon
Miami-Dade
Miami-Dade
Orange
Pinellas
St Lucie
Ada
Ada
Benewah
Benewah
Idaho
Cook
Cook
Cook
Cook
Du Page
Hamilton
La Salle
Me Henry
39.063625
39.063625
39.063625
40.414722
40.414722
41.170833
41.399167
41.821389
41.301111
41.301111
41 .550556
38.984722
39.691944
39.739444
38.644444
26.082778
30.135556
27.931944
27.96565
30.439722
25.794167
25.471389
28.599444
27.785556
27.448889
43.607568
43.607568
47.316667
47.316667
46.2094
41.689195
41.914733
41.751369
42.060278
41.771195
38.083942
41.293125
42.221421
-108.56102
-108.56102
-108.56102
-104.70611
-104.70611
-73.194722
-73.443056
-73.297222
-72.902778
-72.902778
-73.04361 1
-75.555556
-75.761667
-75.558056
-75.613056
-80.237778
-81.634167
-82.509722
-82.2304
-84.348333
-80.2061 1 1
-80.483333
-81 .363056
-82.74
-80.40833
-1 1 6.34843
-1 1 6.34843
-116.57028
-116.57028
-116.0275
-87.539318
-87.722725
-87.713745
-87.863333
-88.152502
-88.624942
-89.049242
-88.2421
C37
-------
171150013
171430037
171630010
180431004
180970078
180970078
181270024
181410015
181411008
181670018
181670018
201070002
211110043
211110048
211110051
230010011
230050027
230090103
2301 90002
2401 50003
240330030
240430009
2451 00040
2601 7001 4
260490021
26065001 2
260770008
260810020
261130001
261470005
261610008
261630001
261630033
261630038
261630039
2951 00085
320030298
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Met-One BAM W/PM2.5 SCO-Beta Attenuation
Met-One BAM W/PM2.5 SCO-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC-FDMS-Gravimetric
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 WINS w/No Correction Factor-TEOM Gravimetric 30 deg C
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
IL
IL
IL
IN
IN
IN
IN
IN
IN
IN
IN
KS
KY
KY
KY
ME
ME
ME
ME
MD
MD
MD
MD
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
MO
NV
Macon
Peoria
St Clair
Floyd
Marion
Marion
Porter
St Joseph
St Joseph
Vigo
Vigo
Linn
Jefferson
Jefferson
Jefferson
Androscoggin
Cumberland
Hancock
Penobscot
Cecil
Prince
Georges
Washington
Baltimore
City
Bay
Genesee
Ingham
Kalamazoo
Kent
Missaukee
St Clair
Washtenaw
Wayne
Wayne
Wayne
Wayne
St Louis City
Clark
39.866944
40.698886
38.612222
38.308056
39.811097
39.811097
41.6175
41 .696692
41 .69361 1
39.4861 1 1
39.4861 1 1
38.135833
38.233222
38.240556
38.060833
44.089444
43.661944
44.37705
44.798849
39.701111
39.055277
39.565556
39.298056
43.571389
43.04722
42.73861 1
42.278056
42.984167
44.31 0556
42.953333
42.240556
42.22861 1
42.306666
42.335
42.323333
38.6563
36.052222
-88.925556
-89.584741
-90.160278
-85.834167
-86.114469
-86.114469
-87.199167
-86.214683
-86.236667
-87.401389
-87.401389
-94.731944
-85.825278
-85.731667
-85.8961 1 1
-70.215
-70.265833
-68.2609
-68.769745
-75.86
-76.878333
-77.721 944
-76.604722
-83.890833
-83.670278
-84.534722
-85.541944
-85.671389
-84.891944
-82.456389
-83.599722
-83.208333
-83.148889
-83.1097
-83.06861 1
-90.1981
-115.05694
C38
-------
320030561
320032002
33009001 0
350439004
360010005
360050110
360290005
360310003
360551 007
360610062
360632008
360710002
360810124
361010003
370210034
370330001
370350004
370510009
370570002
370670022
370670030
370710016
370810013
371110004
371170001
371190041
371190042
371290002
371590021
371730002
371830014
371910005
380070002
3801 50003
3801 50003
3801 71 004
380530002
380570004
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
NV
NV
NH
NM
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
ND
ND
ND
ND
ND
ND
Clark
Clark
Grafton
Sandoval
Albany
Bronx
Erie
Essex
Monroe
New York
Niagara
Orange
Queens
Steuben
Buncombe
Caswell
Catawba
Cumberland
Davidson
Forsyth
Forsyth
Gaston
Guilford
Me Dowell
Martin
Mecklenburg
Mecklenburg
New Hanover
Rowan
Swain
Wake
Wayne
Billings
Burleigh
Burleigh
Cass
McKenzie
Mercer
36.163994
36.191111
43.62957
35.615278
42.6424
40.81616
42.87684
44.39309
43.146198
40.72052
43.08216
41 .49947
40.7362
42.09071
35.609722
36.307033
35.728889
35.041416
35.814444
36.110556
36.026
35.253056
36.109167
35.687404
35.81069
35.240278
35.151389
34.3641 67
35.551868
35.435509
35.856111
35.369214
46.8943
46.825425
46.825425
46.933754
47.5812
47.29861 1
-115.11393
-115.12222
-72.226083
-106.72444
-73.75453
-73.90207
-78.80988
-73.85892
-77.54813
-74.00409
-79.00099
-74.00973
-73.82317
-77.21025
-82.350833
-79.467417
-81 .365556
-78.953112
-80.2625
-80.226667
-80.342
-81.153333
-79.801111
-81 .993789
-76.89782
-80.785556
-80.866944
-77.83861 1
-80.395039
-83.443697
-78.574167
-77.993893
-103.37853
-100.76821
-100.76821
-96.85535
-103.2995
-101.76694
C39
-------
3901 71 004
390230005
390570005
390610006
390950024
39099001 4
391130031
391130032
391351001
391510020
391550007
40097901 4
401159004
401359015
401359015
420010001
420030008
420030064
420210011
420430401
420450002
420950025
421250005
440030002
440070022
440070022
450250001
450370001
450450009
450450009
450730001
460330132
460710001
461030020
47009001 1
470370036
470450004
470654002
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OK
OK
OK
OK
PA
PA
PA
PA
PA
PA
PA
PA
Rl
Rl
Rl
SC
SC
SC
SC
SC
SD
SD
SD
TN
TN
TN
TN
Butler
Clark
Greene
Hamilton
Lucas
Mahoning
Montgomery
Montgomery
Preble
Stark
Trumbull
Mayes
Ottawa
Sequoyah
Sequoyah
Adams
Allegheny
Allegheny
Cambria
Dauphin
Delaware
Northampton
Washington
Kent
Providence
Providence
Chesterfield
Edgefield
Greenville
Greenville
Oconee
Custer
Jackson
Pennington
Blount
Davidson
Dyer
Hamilton
39.53
39.928889
39.808056
39.278499
41 .6441 67
41 .095868
39.759444
39.760278
39.835556
40.800556
41.214167
36.2284
36.922222
35.58175
35.58175
39.92
40.465556
40.32361 1
40.309722
40.245
39.835556
40.628056
40.146667
41.6156
41 .807949
41 .807949
34.61 5367
33.741693
34.901046
34.901046
34.805261
43.5578
43.74561
44.087397
35.768333
36.118251
36.052778
35.050928
-84.3925
-83.809722
-83.886944
-84.365974
-83.546667
-80.658426
-84.144444
-84.187778
-84.720833
-81 .373333
-80.7875
-95.25
-94.838889
-94.829
-94.829
-77.31
-79.961111
-79.868333
-78.915
-76.844722
-75.3725
-75.341 1 1 1
-79.902222
-71.7199
-71.415
-71.415
-80.198787
-81 .853633
-82.31307
-82.31307
-83.2377
-103.4839
-101.94122
-103.27378
-83.942222
-86.873547
-89.381944
-85.292975
C40
-------
470990002
471071002
471130006
471251010
471450004
471631007
471650007
490050004
51 0591 005
51 087001 4
51 1 1 30003
51 6500004
51 770001 5
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
TN
TN
TN
TN
TN
TN
TN
UT
VA
VA
VA
VA
VA
Lawrence
McMinn
Madison
Montgomery
Roane
Sullivan
Sumner
Cache
Fairfax
Henrico
Madison
Hampton City
Roanoke City
35.116111
35.451111
35.653651
36.625
35.9386
36.540654
36.297778
41.731111
38.837517
37.558333
38.521944
37.003333
37.297178
-87.47
-84.5991 67
-88.809084
-87.169167
-84.5438
-82.521667
-86.652778
-1 1 1 .8375
-77.163231
-77.400278
-78.4361 1 1
-76.399167
-79.95557
C41
-------
Table C10. Collocated Acceptable Geographic Information for 2007
AQSJD
010730023
010730023
010731005
010731009
010731010
010732003
010732003
010732006
010735002
010735003
06001 0007
060195001
060290010
06031 0004
060570005
060571001
060571001
060750005
060811001
060850005
060950004
110010043
1 20330004
130210012
130590002
130890002
1 31 350002
1 31 350002
132150008
1 32230003
1 32450091
1 32950002
1 32950002
FRM_Method
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
SC_Method
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
State
AL
AL
AL
AL
AL
AL
AL
AL
AL
AL
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
DC
FL
GA
GA
GA
GA
GA
GA
GA
GA
GA
GA
County
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Jefferson
Alameda
Fresno
Kern
Kings
Nevada
Nevada
Nevada
San
Francisco
San Mateo
Santa Clara
Solano
District Of
Columbia
Escambia
Bibb
Clarke
De Kalb
Gwinnett
Gwinnett
Muscogee
Paulding
Richmond
Walker
Walker
Latitude
33.553056
33.553056
33.331111
33.459722
33.545278
33.499722
33.499722
33.386389
33.704722
33.801667
37.6875
36.819167
35.385556
36.101389
39.234444
39.338611
39.33861 1
37.766
37.4829
37.3485
38.1027
38.918889
30.525
32.805244
33.917925
33.688007
33.963074
33.963074
32.521099
33.92855
33.433883
34.966557
34.966557
Longitude
-86.815
-86.815
-87.00361 1
-87.305556
-86.549167
-86.924167
-86.924167
-86.816667
-86.669167
-86.9425
-121.7842
-119.71639
-119.01472
-119.56583
-121.05556
-120.17028
-120.17028
-122.3991
-122.2034
-121.895
-122.2382
-77.0125
-87.204167
-83.543628
-83.344512
-84.290325
-84.069193
-84.069193
-84.944695
-85.04548
-82.022414
-85.297229
-85.297229
C42
-------
160010011
160010011
160090011
1 60270004
1 60270004
1 60590004
1 60590004
1 60590004
160790017
160790017
160790017
1 7031 0022
1 7031 0057
1 7031 0076
1 7031 4201
1 70434002
1 70650002
1 70990007
171110001
171150013
1 71 430037
171630010
1 80030004
1 80890022
1 80970078
1 80970078
1 80970081
1 81 570008
181630012
1 91 530030
202090021
210190017
210290006
210373002
210590005
210670012
210930006
211170007
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC-FDMS-Gravimetric
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 VSCC-Beta Attenuation
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
ID
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IL
IN
IN
IN
IN
IN
IN
IN
IA
KS
KY
KY
KY
KY
KY
KY
KY
Ada
Ada
Benewah
Canyon
Canyon
Lemhi
Lemhi
Lemhi
Shoshone
Shoshone
Shoshone
Cook
Cook
Cook
Cook
Du Page
Hamilton
La Salle
Me Henry
Macon
Peoria
St Clair
Allen
Lake
Marion
Marion
Marion
Tippecanoe
Vanderburgh
Polk
Wyandotte
Boyd
Bullitt
Campbell
Daviess
Fayette
Hardin
Kenton
43.6361 1 1
43.6361 1 1
47.338702
43.562401
43.562401
45.170556
45.170556
45.170556
47.536389
47.536389
47.536389
41.689195
41.914733
41.751369
42.14
41.771195
38.083942
41 .2931 25
42.221421
39.866944
40.698886
38.612222
41 .094722
41 .606667
39.811097
39.811097
39.788903
40.431 639
38.021667
41.603132
39.1175
38.459167
37.985556
39.021806
37.780833
38.065
37.706389
39.0725
-116.27028
-116.27028
-116.88461
-116.56323
-116.56323
-113.89222
-113.89222
-113.89222
-116.23667
-116.23667
-116.23667
-87.539318
-87.722725
-87.713745
-87.799167
-88.152502
-88.624942
-89.049242
-88.2421
-88.925556
-89.584741
-90.160278
-85.101944
-87.304722
-86.114469
-86.114469
-86.214628
-86.8525
-87.569444
-93.643234
-94.635556
-82.640556
-85.713056
-84.474453
-87.075556
-84.5
-85.851667
-84.525
C43
-------
211830032
211950002
212270008
220330009
220511001
220870007
221210001
245100040
250051004
250092006
250095005
250130016
250250042
250250043
250270023
270370470
270530963
271 095008
271 230871
271 377551
271 453052
280110001
280470008
280490010
280590006
280750003
28081 0005
29021 0005
290470005
290950034
290990012
295100085
300310013
300310016
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 WINS w/Correction Factor-TEOM Gravimetric 30 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
KY
KY
KY
LA
LA
LA
LA
MD
MA
MA
MA
MA
MA
MA
MA
MN
MN
MN
MN
MN
MN
MS
MS
MS
MS
MS
MS
MO
MO
MO
MO
MO
MT
MT
Ohio
Pike
Warren
East Baton
Rouge
Jefferson
St Bernard
West Baton
Rouge
Baltimore
City
Bristol
Essex
Essex
Hampden
Suffolk
Suffolk
Worcester
Dakota
Hennepin
Olmsted
Ramsey
St Louis
Stearns
Bolivar
Harrison
Hinds
Jackson
Lauderdale
Lee
Buchanan
Clay
Jackson
Jefferson
St Louis City
Gallatin
Gallatin
37.319725
37.482778
37.036667
30.461111
30.043333
29.94475
30.501944
39.298056
41 .6857
42.474444
42.762778
42.108889
42.329444
42.362778
42.265802
44.740751
44.955396
43.996908
44.961451
46.766667
45.549839
33.746056
30.390139
32.385583
30.378194
32.364389
34.26491 7
39.741667
39.303056
39.104722
38.437778
38.6563
44.657778
44.661481
-86.956097
-82.535278
-86.250556
-91.176944
-90.275
-89.976263
-91 .209722
-76.604722
-71.1698
-70.9725
-71.105833
-72.591389
-71 .082778
-71.054167
-71 .794835
-93.237293
-93.25827
-92.450366
-93.035894
-92.133056
-94.13345
-90.723028
-89.049722
-90.140917
-88.533944
-88.731444
-88.766222
-94.858333
-94.376389
-94.570556
-90.361389
-90.1981
-1 1 1 .09083
-111.10507
C44
-------
300490018
300530018
30081 0007
310550019
320030022
320030298
320030561
320030561
320031019
320031019
320032002
320032002
340070003
340070003
340171003
340171003
340230006
340390004
340390004
340392003
350130017
350250008
350439004
350490020
36001 0005
360050110
360290005
36031 0003
360551007
36061 0062
36061 01 28
36061 01 34
360632008
36071 0002
36081 01 24
361 01 0003
37001 0002
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
BGI Models PQ200-VSCC or PQ200A-VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Thermo Electron Model RAAS2.5-300 Sequential w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Thermo Electron Model RAAS2.5-300 Sequential w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Thermo Electron Model RAAS2.5-300 Sequential w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
MT
MT
MT
NE
NV
NV
NV
NV
NV
NV
NV
NV
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NM
NM
NM
NM
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NC
Lewis And
Clark
Lincoln
Ravalli
Douglas
Clark
Clark
Clark
Clark
Clark
Clark
Clark
Clark
Camden
Camden
Hudson
Hudson
Middlesex
Union
Union
Union
Dona Ana
Lea
Sandoval
Santa Fe
Albany
Bronx
Erie
Essex
Monroe
New York
New York
New York
Niagara
Orange
Queens
Steuben
Alamance
46.603889
48.384167
46.245633
41 .247222
36.390775
36.052222
36.163994
36.163994
35.785634
35.785634
36.191111
36.191111
39.92304
39.92304
40.72545
40.72545
40.47279
40.64144
40.64144
40.60607
31 .795833
32.726656
35.615278
35.671111
42.6424
40.81616
42.87684
44.39309
43.146198
40.72052
40.73003
40.7139
43.08216
41 .49947
40.7362
42.09071
36.089004
-112.03528
-115.54806
-114.15886
-95.975556
-114.90681
-115.05694
-115.11393
-115.11393
-115.35706
-115.35706
-115.12222
-115.12222
-75.09762
-75.09762
-74.05229
-74.05229
-74.42251
-74.20836
-74.20836
-74.27498
-106.5575
-103.12292
-106.72444
-105.95361
-73.75453
-73.90207
-78.80988
-73.85892
-77.54813
-74.00409
-73.98446
-73.9956
-79.00099
-74.00973
-73.82317
-77.21025
-79.407821
C45
-------
37021 0034
370330001
370350004
37051 0009
370570002
370670022
370670030
370710016
370810013
371 1 1 0004
371170001
371190041
371190041
371190042
371190042
371 290002
371 590021
371 730002
371830014
371 91 0005
401159004
410250002
410290133
410330114
410350004
410370001
410370001
410390060
410391009
410392013
410510080
410510246
410590121
410591003
410610119
410670004
420030008
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
OK
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
OR
PA
Buncombe
Caswell
Catawba
Cumberland
Davidson
Forsyth
Forsyth
Gaston
Guilford
Me Dowell
Martin
Mecklenburg
Mecklenburg
Mecklenburg
Mecklenburg
New
Hanover
Rowan
Swain
Wake
Wayne
Ottawa
Harney
Jackson
Josephine
Klamath
Lake
Lake
Lane
Lane
Lane
Multnomah
Multnomah
Umatilla
Umatilla
Union
Washington
Allegheny
35.609722
36.307033
35.728889
35.041416
35.814444
36.110556
36.026
35.253056
36.109167
35.687404
35.81069
35.240278
35.240278
35.151389
35.151389
34.364167
35.551868
35.435509
35.856111
35.369214
36.922222
43.586389
42.314078
42.434139
42.188889
42.188889
42.188889
44.026312
44.046696
43.744352
45.496667
45.561301
45.651944
45.828889
45.338972
45.52853
40.465556
-82.350833
-79.467417
-81 .365556
-78.953112
-80.2625
-80.226667
-80.342
-81.153333
-79.801111
-81 .993789
-76.89782
-80.785556
-80.785556
-80.866944
-80.866944
-77.83861 1
-80.395039
-83.443697
-78.574167
-77.993893
-94.838889
-119.05111
-122.87924
-123.34849
-121.7225
-120.35194
-120.35194
-123.08374
-123.0177
-122.48052
-122.60222
-122.67878
-118.81861
-119.26331
-117.9048
-122.97244
-79.961111
C46
-------
420030064
421 01 0004
421 01 0004
421 01 0024
450450008
470370023
471 570038
481130069
481 350003
481390016
481 41 0037
481 41 0044
481 41 0053
48201 0024
482011035
482030002
482150043
482450021
483750320
484391006
484530020
490050004
490353006
490450003
490494001
490570002
530030004
530070006
530110013
530110013
530110013
530330024
530330024
530330024
530330057
530330080
530330080
530330080
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PA
PA
PA
PA
SC
TN
TN
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
TX
UT
UT
UT
UT
UT
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
Allegheny
Philadelphia
Philadelphia
Philadelphia
Greenville
Davidson
Shelby
Dallas
Ector
Ellis
El Paso
El Paso
El Paso
Harris
Harris
Harrison
Hidalgo
Jefferson
Potter
Tarrant
Travis
Cache
Salt Lake
Tooele
Utah
Weber
Asotin
Chelan
Clark
Clark
Clark
King
King
King
King
King
King
King
40.32361 1
40.008889
40.008889
40.076389
34.838814
36.176326
35.184167
32.819952
31 .826578
32.481 944
31 .768274
31 .765673
31.758516
29.901111
29.733713
32.669003
26.226238
29.922778
35.201588
32.758889
30.483159
41.731111
40.736389
40.543371
40.341389
41 .206389
46.425571
47.412222
45.648333
45.648333
45.648333
47.755
47.755
47.755
47.563333
47.570273
47.570273
47.570273
-79.868333
-75.097778
-75.097778
-75.011944
-82.402914
-86.738902
-89.930278
-96.860082
-102.34198
-97.0275
-106.5012
-106.45523
-106.50105
-95.326944
-95.257591
-94.167449
-98.291064
-93.908889
-101.90924
-97.342222
-97.872266
-1 1 1 .8375
-1 1 1 .87222
-112.29881
-111.71361
-1 1 1 .97472
-117.05973
-120.31833
-122.58694
-122.58694
-122.58694
-122.2806
-122.2806
-122.2806
-122.3406
-122.3086
-122.3086
-122.3086
C47
-------
530370002
530530029
530530029
530530029
53061 0020
530611007
530611007
530611007
530630016
530630016
530770009
540511002
540511002
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
Correlated Radiance Research M903-Nephelometry
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Correlated Radiance Research M903-Nephelometry
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WA
WV
WV
Kittitas
Pierce
Pierce
Pierce
Snohomish
Snohomish
Snohomish
Snohomish
Spokane
Spokane
Yakima
Marshall
Marshall
46.9961 1 1
47.1864
47.1864
47.1864
48.2469
48.055556
48.055556
48.055556
47.660833
47.660833
46.59678
39.91597
39.91597
-120.54528
-122.4517
-122.4517
-122.4517
-121.6031
-122.1758
-122.1758
-122.1758
-117.35722
-117.35722
-120.51222
-80.734057
-80.734057
C48
-------
Table C11. Collocated Atmospheric Geographic Information for 2007
AQSJD
040130019
040139997
08031 0002
08031 0025
080350004
090010010
090031003
090050004
090090027
090090027
190170011
190170011
190170011
1 90450021
191130037
191130037
191130037
1 91 370002
191471002
1 91 530030
191630015
191630019
1 91 770006
202090021
260170014
260490021
260650012
260770008
26081 0020
261130001
261 470005
261 61 0008
261 630001
261 630033
261 630039
FRM_Method
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
SC_Method
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
State
AZ
AZ
CO
CO
CO
CT
CT
CT
CT
CT
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
IA
KS
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
County
Maricopa
Maricopa
Denver
Denver
Douglas
Fairfield
Hartford
Litchfield
New Haven
New Haven
Bremer
Bremer
Bremer
Clinton
Linn
Linn
Linn
Montgomery
Palo Alto
Polk
Scott
Scott
Van Buren
Wyandotte
Bay
Genesee
Ingham
Kalamazoo
Kent
Missaukee
St Clair
Washtenaw
Wayne
Wayne
Wayne
Latitude
33.48385
33.503643
39.751185
39.704407
39.53448
41.170833
41 .784722
41 .64486
41.301111
41.301111
42.743056
42.743056
42.743056
41 .874972
42.008333
42.008333
42.008333
40.971211
43.123333
41.603132
41.53
41 .51 7778
40.695078
39.1175
43.571389
43.04722
42.73861 1
42.278056
42.984167
44.310556
42.953333
42.240556
42.22861 1
42.306666
42.323333
Longitude
-112.14257
-112.095
-1 04.98762
-1 04.99808
-105.07035
-73.194722
-72.631667
-73.07908
-72.902778
-72.902778
-92.513056
-92.513056
-92.513056
-90.177444
-91 .67861 1
-91 .67861 1
-91 .67861 1
-95.043868
-94.693333
-93.643234
-90.5875
-90.618611
-92.006318
-94.635556
-83.890833
-83.670278
-84.534722
-85.541944
-85.671389
-84.891 944
-82.456389
-83.599722
-83.208333
-83.148889
-83.06861 1
C49
-------
29021 0005
290470005
290470005
290950034
290990012
290990012
330150014
340070003
340070003
340171003
340171003
340230006
340390004
340390004
36081 01 24
361 01 0003
371190041
390250022
390350060
390610040
390810017
390853002
390933002
391 030003
391530017
401091037
401210415
401431127
420070014
420110010
420110011
42071 0007
420910013
421 330008
450450008
500030004
500070007
50021 0002
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
PM2.5 VSCC-FDMS-Gravimetric
MO
MO
MO
MO
MO
MO
NH
NJ
NJ
NJ
NJ
NJ
NJ
NJ
NY
NY
NC
OH
OH
OH
OH
OH
OH
OH
OH
OK
OK
OK
PA
PA
PA
PA
PA
PA
SC
VT
VT
VT
Buchanan
Clay
Clay
Jackson
Jefferson
Jefferson
Rockingham
Camden
Camden
Hudson
Hudson
Middlesex
Union
Union
Queens
Steuben
Mecklenburg
Clermont
Cuyahoga
Hamilton
Jefferson
Lake
Lorain
Medina
Summit
Oklahoma
Pittsburg
Tulsa
Beaver
Berks
Berks
Lancaster
Montgomery
York
Greenville
Bennington
Chittenden
Rutland
39.741667
39.303056
39.303056
39.104722
38.437778
38.437778
43.075278
39.92304
39.92304
40.72545
40.72545
40.47279
40.64144
40.64144
40.7362
42.09071
35.240278
39.082319
41 .493955
39.128611
40.366104
41 .7225
41 .463056
41.102778
41 .063333
35.614131
34.90227
36.204902
40.747778
40.392694
40.38335
40.046667
40.112222
39.965278
34.838814
42.88759
44.52839
43.608056
-94.858333
-94.376389
-94.376389
-94.570556
-90.361389
-90.361389
-70.748056
-75.09762
-75.09762
-74.05229
-74.05229
-74.42251
-74.20836
-74.20836
-73.82317
-77.21025
-80.785556
-84.144193
-81 .678542
-84.504167
-80.615002
-81 .241 944
-82.114444
-81.911667
-81 .46861 1
-97.475083
-95.784375
-95.976537
-80.316667
-75.925222
-75.9686
-76.283333
-75.309167
-76.699444
-82.402914
-73.24984
-72.86884
-72.982778
C50
-------
550090005
550270007
550590019
55071 0007
55071 0007
550790026
550790059
550890009
551091002
551 1 1 0007
551198001
551 330027
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC-FDMS-Gravimetric
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Wl
Brown
Dodge
Kenosha
Manitowoc
Manitowoc
Milwaukee
Milwaukee
Ozaukee
St Croix
Sauk
Taylor
Waukesha
44.516667
43.435
42.504722
44.138611
44.138611
43.061111
42.955
43.498056
45.124444
43.435556
45.203889
43.020278
-87.993889
-88.527778
-87.8093
-87.616111
-87.616111
-87.9125
-87.934167
-87.81
-92.6625
-89.680278
-90.6
-88.215
C51
-------
Table C12. Collocated Raw Geographic Information for 2007
AQSJD
01 089001 4
01 0970003
021100004
040230004
050350005
051191008
051390006
060070002
0601 1 1 002
0601 90008
0601 90008
060250005
06029001 4
060610006
060631 006
060631 009
060631 009
060670006
060670006
06067001 0
060730003
060731 002
060731 01 0
060771 002
060990005
061010003
061010003
061072002
061110007
061110009
061112002
061113001
080010006
0801 30003
0801 30003
FRM_Method
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
SC_Method
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
State
AL
AL
AK
AZ
AR
AR
AR
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CA
CO
CO
CO
County
Madison
Mobile
Juneau
Santa Cruz
Crittenden
Pulaski
Union
Butte
Colusa
Fresno
Fresno
Imperial
Kern
Placer
Plumas
Plumas
Plumas
Sacramento
Sacramento
Sacramento
San Diego
San Diego
San Diego
San Joaquin
Stanislaus
Sutter
Sutter
Tulare
Ventura
Ventura
Ventura
Ventura
Adams
Boulder
Boulder
Latitude
34.68767
30.76972
58.38889
31.3372
35.19667
34.68167
33.215
39.7575
39.20306
36.78139
36.78139
32.67611
35.35611
38.74583
39.93722
39.80833
39.80833
38.61417
38.61417
38.55833
32.79139
33.12778
32.70139
37.95083
37.64167
39.13889
39.13889
36.33222
34.21
34.40461
34.2775
34.255
39.82574
40.16583
40.16583
Longitude
-86.58637
-88.0875
-134.56556
-110.93672
-90.191111
-92.328333
-92.668889
-1 21 .84222
-122.01667
-119.77222
-119.77222
-115.48333
-119.04028
-121.26528
-120.93778
-120.47167
-120.47167
-121.36694
-121.36694
-121.49194
-116.94167
-117.07417
-117.15278
-121.2675
-120.99361
-121.6175
-121.6175
-119.29028
-118.86944
-118.81
-118.68472
-119.1425
-104.93699
-105.10111
-105.10111
C52
-------
08077001 7
08077001 7
081230006
081230006
081230006
090011123
090050005
090090027
090090027
090092123
090092123
100010002
100031012
100032004
100051002
120090007
120111002
120310098
120570030
120573002
120730012
120830003
120861016
120866001
120952002
120990009
121030018
121056006
121111002
121275002
160010010
160010010
160090010
160090010
160490003
170310022
170310057
170310076
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Thermo Electron Model RAAS2.5-300 Sequential w/VSCC
Thermo Electron Model RAAS2. 5-300 Sequential w/VSCC
Thermo Electron Model RAAS2.5-300 Sequential w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
CO
CO
CO
CO
CO
CT
CT
CT
CT
CT
CT
DE
DE
DE
DE
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
FL
ID
ID
ID
ID
ID
IL
IL
IL
Mesa
Mesa
Weld
Weld
Weld
Fairfield
Litchfield
New Haven
New Haven
New Haven
New Haven
Kent
New Castle
New Castle
Sussex
Brevard
Broward
Duval
Hillsborough
Hillsborough
Leon
Marion
Miami-Dade
Miami-Dade
Orange
Palm Beach
Pinellas
Polk
St Lucie
Volusia
Ada
Ada
Benewah
Benewah
Idaho
Cook
Cook
Cook
39.06363
39.06363
40.41472
40.41472
40.41472
41.39917
41.82139
41.30111
41.30111
41 .55056
41 .55056
38.98472
39.69194
39.73944
38.64444
28.05389
26.08278
30.13556
27.93194
27.96565
30.43972
29.17028
25.79417
25.47139
28.59944
26.731
27.78556
28.02917
27.44889
29.20667
43.60757
43.60757
47.31667
47.31667
46.2094
41 .6892
41.91473
41.75137
-108.56102
-108.56102
-104.70611
-104.70611
-104.70611
-73.443056
-73.297222
-72.902778
-72.902778
-73.04361 1
-73.04361 1
-75.555556
-75.761667
-75.558056
-75.613056
-80.62861 1
-80.237778
-81 .6341 67
-82.509722
-82.2304
-84.348333
-82.100833
-80.2061 1 1
-80.483333
-81 .363056
-80.234
-82.74
-81 .972222
-80.40833
-81 .053056
-1 1 6.34843
-1 1 6.34843
-116.57028
-116.57028
-116.0275
-87.539318
-87.722725
-87.713745
C53
-------
170314201
170434002
170650002
170990007
171110001
171150013
171430037
171630010
180431004
180970078
180970081
181270024
181410015
181670018
191130037
201070002
211110043
211110048
211110051
230010011
230090103
2301 90002
230210004
2401 50003
240330030
240430009
2451 00040
2601 7001 4
2601 7001 4
260490021
260490021
26065001 2
26065001 2
260770008
260770008
260810020
260810020
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2000 PM2.5 Sampler w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Met-One BAM W/PM2.5 SCO-Beta Attenuation
Met-One BAM W/PM2.5 SCO-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC-FDMS-Gravimetric
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
IL
IL
IL
IL
IL
IL
IL
IL
IN
IN
IN
IN
IN
IN
IA
KS
KY
KY
KY
ME
ME
ME
ME
MD
MD
MD
MD
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Cook
Du Page
Hamilton
La Salle
Me Henry
Macon
Peoria
St Clair
Floyd
Marion
Marion
Porter
St Joseph
Vigo
Linn
Linn
Jefferson
Jefferson
Jefferson
Androscoggin
Hancock
Penobscot
Piscataquis
Cecil
Prince
Georges
Washington
Baltimore
City
Bay
Bay
Genesee
Genesee
Ingham
Ingham
Kalamazoo
Kalamazoo
Kent
Kent
42.14
41.7712
38.08394
41.29313
42.22142
39.86694
40.69889
38.61222
38.30806
39.8111
39.7889
41.6175
41 .69669
39.4861 1
42.00833
38.13583
38.23322
38.24056
38.06083
44.08944
44.37705
44.79885
45.46493
39.70111
39.05528
39.56556
39.29806
43.57139
43.57139
43.04722
43.04722
42.73861
42.73861
42.27806
42.27806
42.98417
42.98417
-87.799167
-88.152502
-88.624942
-89.049242
-88.2421
-88.925556
-89.584741
-90.160278
-85.834167
-86.114469
-86.214628
-87.199167
-86.214683
-87.401389
-91.678611
-94.731944
-85.825278
-85.731667
-85.8961 1 1
-70.215
-68.2609
-68.769745
-69.592266
-75.86
-76.878333
-77.721 944
-76.604722
-83.890833
-83.890833
-83.670278
-83.670278
-84.534722
-84.534722
-85.541944
-85.541944
-85.671389
-85.671389
C54
-------
261130001
261130001
261470005
261470005
261610008
261610008
261630001
261630001
261630033
261630033
261630038
261630038
261630039
261630039
2951 00085
330050007
33009001 0
360010005
360050110
360290005
360310003
360551 007
360610062
360610128
360610134
360632008
360710002
360810124
361010003
370010002
370210034
370330001
370350004
370510009
370570002
370670022
370670030
370710016
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
BGI Model PQ200 PM2.5 Sampler w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 WINS w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
Ml
MO
NH
NH
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NY
NC
NC
NC
NC
NC
NC
NC
NC
NC
Missaukee
Missaukee
St Clair
St Clair
Washtenaw
Washtenaw
Wayne
Wayne
Wayne
Wayne
Wayne
Wayne
Wayne
Wayne
St Louis City
Cheshire
Grafton
Albany
Bronx
Erie
Essex
Monroe
New York
New York
New York
Niagara
Orange
Queens
Steuben
Alamance
Buncombe
Caswell
Catawba
Cumberland
Davidson
Forsyth
Forsyth
Gaston
44.31056
44.31056
42.95333
42.95333
42.24056
42.24056
42.22861
42.22861
42.30667
42.30667
42.335
42.335
42.32333
42.32333
38.6563
42.93056
43.62957
42.6424
40.81616
42.87684
44.39309
43. 1 462
40.72052
40.73003
40.7139
43.08216
41 .49947
40.7362
42.09071
36.089
35.60972
36.30703
35.72889
35.04142
35.81444
36.11056
36.026
35.25306
-84.891944
-84.891944
-82.456389
-82.456389
-83.599722
-83.599722
-83.208333
-83.208333
-83.148889
-83.148889
-83.1097
-83.1097
-83.06861 1
-83.06861 1
-90.1981
-72.277778
-72.226083
-73.75453
-73.90207
-78.80988
-73.85892
-77.54813
-74.00409
-73.98446
-73.9956
-79.00099
-74.00973
-73.82317
-77.21025
-79.407821
-82.350833
-79.467417
-81 .365556
-78.953112
-80.2625
-80.226667
-80.342
-81.153333
C55
-------
370810013
371110004
371170001
371170001
371190041
371190041
371190042
371190042
371290002
371590021
371730002
371830014
371910005
380070002
3801 50003
3801 71 004
380570004
3901 71 004
390230005
390570005
390610006
390950024
39099001 4
391130032
391351001
391510020
391550007
391650007
40097901 4
401159004
401359015
420010001
420030008
420030064
420210011
420430401
420450002
420950025
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
R & P Model 2000 PM-2.5 Air Sampler w/VSCC
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 40 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SSI w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC-FDMS-Gravimetric
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
NC
ND
ND
ND
ND
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OH
OK
OK
OK
PA
PA
PA
PA
PA
PA
PA
Guilford
Me Dowell
Martin
Martin
Mecklenburg
Mecklenburg
Mecklenburg
Mecklenburg
New Hanover
Rowan
Swain
Wake
Wayne
Billings
Burleigh
Cass
Mercer
Butler
Clark
Greene
Hamilton
Lucas
Mahoning
Montgomery
Preble
Stark
Trumbull
Warren
Mayes
Ottawa
Sequoyah
Adams
Allegheny
Allegheny
Cambria
Dauphin
Delaware
Northampton
36.10917
35.6874
35.81069
35.81069
35.24028
35.24028
35.15139
35.15139
34.36417
35.55187
35.43551
35.8561 1
35.36921
46.8943
46.82543
46.93375
47.29861
39.53
39.92889
39.80806
39.2785
41.64417
41 .09587
39.76028
39.83556
40.80056
41.21417
39.4278
36.2284
36.92222
35.58175
39.92
40.46556
40.32361
40.30972
40.245
39.83556
40.62806
-79.801111
-81 .993789
-76.89782
-76.89782
-80.785556
-80.785556
-80.866944
-80.866944
-77.83861 1
-80.395039
-83.443697
-78.574167
-77.993893
-103.37853
-100.76821
-96.85535
-101.76694
-84.3925
-83.809722
-83.886944
-84.365974
-83.546667
-80.658426
-84.187778
-84.720833
-81 .373333
-80.7875
-84.202208
-95.25
-94.838889
-94.829
-77.31
-79.961111
-79.868333
-78.915
-76.844722
-75.3725
-75.341 1 1 1
C56
-------
421250005
440030002
440070022
440070022
450250001
450370001
450450009
450450009
450630008
450730001
460330132
460330132
460710001
460710001
461030020
461030020
47009001 1
470370036
470450004
470654002
470654002
470931 01 3
470990002
471071002
471130006
471450004
471631007
471650007
51 0591 005
51 069001 0
51 087001 4
51 1 1 30003
51 6500004
51 770001 5
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM-2.5 Sequential Air Sampler w/VSCC
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
Andersen RAAS2.5-100 PM2.5 SAM w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Andersen RAAS2.5-300 PM2.5 SEQ w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
R & P Model 2025 PM2.5 Sequential w/WINS
Met-One BAM W/PM2.5 SCO-Beta Attenuation
Met-One BAM W/PM2.5 SCO-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
Met-One BAM W/PM2.5 SCC-Beta Attenuation
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 SCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
Andersen BAM W/PM2.5 VSCC-Beta Attenuation
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 50 deg C
PA
Rl
Rl
Rl
SC
SC
SC
SC
SC
SC
SD
SD
SD
SD
SD
SD
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
TN
VA
VA
VA
VA
VA
VA
Washington
Kent
Providence
Providence
Chesterfield
Edgefield
Greenville
Greenville
Lexington
Oconee
Custer
Custer
Jackson
Jackson
Pennington
Pennington
Blount
Davidson
Dyer
Hamilton
Hamilton
Knox
Lawrence
McMinn
Madison
Roane
Sullivan
Sumner
Fairfax
Frederick
Henri co
Madison
Hampton City
Roanoke City
40.14667
41.6156
41 .80795
41 .80795
34.61537
33.74169
34.90105
34.90105
34.05281
34.80526
43.5578
43.5578
43.74561
43.74561
44.0874
44.0874
35.76833
36.11825
36.05278
35.05093
35.05093
35.98055
35.11611
35.45111
35.65365
35.9386
36.54065
36.29778
38.83752
39.28278
37.55833
38.52194
37.00333
37.29718
-79.902222
-71.7199
-71.415
-71.415
-80.198787
-81 .853633
-82.31307
-82.31307
-81.15495
-83.2377
-103.4839
-103.4839
-101.94122
-101.94122
-103.27378
-103.27378
-83.942222
-86.873547
-89.381944
-85.292975
-85.292975
-83.93277
-87.47
-84.5991 67
-88.809084
-84.5438
-82.521667
-86.652778
-77.163231
-78.081389
-77.400278
-78.4361 1 1
-76.399167
-79.95557
C57
-------
C58
-------
Appendix D
Figure D1. Box plot of FRM Summary Statistics of Acceptable Data by Method
Table D1. FRM Summary Statistics of Acceptable Data by Method
Table D2. FRM Summary Statistics of Acceptable Data by Region
Table D3. FRM Summary Statistics of Acceptable Data by State
Table D4. FRM Summary Statistics of Acceptable Data by Season
Table D5. SC Summary Statistics of Acceptable Data by Method
Table D6. SC Summary Statistics of Acceptable Data by Region
Table D7. SC Summary Statistics of Acceptable Data by State
Table D8. SC Summary Statistics of Acceptable Data by Season
-------
D2
-------
Figure D1. Box plot of FRM Summary Statistics of Acceptable Data by Method
E
D)
O
O
< >
M =
?!
CO (D
S3- 3
£D 00
gl
s *
£ =9
S!
w g
8^
m°
2. to
m DO
fc >
|S
3. "^
Met-One BAM
VSCC-Beta At
PM2.5 SCC
TEOM Grav
ml
O K)
Sui
CD W
1 8
H*
i-D~riT3
en
w
OKJ
Sin
So
2.5
0 ° 0
i TD
m^
OM
Soi
CD<
00
ITJ
rn^
OK!
SLh
=j~o
rn^
OKJ
Sen
8
D3
-------
Table D1. FRM Summary Statistics of Acceptable Data by Method (percent!les in ug m"3)
Method
Andersen BAM W/PM2.5
VSCC-Beta Attenuation
Correlated Radiance
Research M903-Nephelometry
Met-One BAM W/PM2.5 SCC-
Beta Attenuation
Met-One BAM W/PM2.5
VSCC-Beta Attenuation
PM2.5 SCC w/Correction
Factor-TEOM Gravimetric 30
degC
PM2.5 SCC w/Correction
Factor-TEOM Gravimetric 50
degC
PM2.5 SCC w/No Correction
Factor-TEOM Gravimetric 30
degC
PM2.5 SCC w/No Correction
Factor-TEOM Gravimetric 50
degC
PM2.5 SCC-FDMS-
Gravi metric
PM2.5 SSI w/Correction
Factor-TEOM Gravimetric 30
degC
PM2.5 SSI w/Correction
Factor-TEOM Gravimetric 50
degC
PM2.5 SSI w/No Correction
Factor-TEOM Gravimetric 30
degC
PM2.5 VSCC w/Correction
N
353
8758
12117
86
1931
22085
5395
11834
5284
1101
1542
1221
57
Min
0.8
0.0
0.2
2.0
1.3
0.1
0.5
0.0
0.0
1.1
1.4
0.0
2.4
5th
2.1
2.4
3.0
3.6
2.7
3.9
4.6
4.3
3.7
2.7
2.8
4.7
3.4
10th
2.6
3.0
3.7
4.2
3.4
5.0
5.9
5.4
4.6
3.2
3.3
6.0
3.8
25th
4.5
4.3
5.5
5.3
5.5
7.4
8.4
8.2
6.8
5.1
4.6
8.2
5.2
30th
5.5
4.8
6.1
5.9
6.0
8.1
9.2
9.1
7.5
5.8
5.0
8.8
5.6
50th
7.3
6.7
8.6
9.8
8.5
11.0
12.7
12.6
10.5
8.5
6.5
12.0
8.1
Mean
8.1
9.3
11.0
11.3
10.2
12.7
14.1
14.5
12.7
11.5
7.3
13.2
11.7
60th
8.8
8.0
10.2
12.2
10.1
12.9
14.8
14.6
12.3
10.7
7.3
13.4
10.9
75th
10.3
11.1
13.8
15.7
13.4
16.4
18.3
18.7
16.1
14.8
9.0
16.4
17.8
90th
14.0
19.1
21.3
21.5
19.3
22.3
24.5
26.1
23.3
23.8
12.2
22.2
24.6
95th
18.7
25.6
27.0
26.0
23.0
26.6
28.2
31.4
28.8
31.5
14.6
26.3
31.0
Max
31.9
73.0
131.9
32.2
68.3
172.3
94.1
64.4
86.6
68.0
31.7
53.6
32.6
D4
-------
Factor-TEOM Gravimetric
PM2.5 VSCC w/Correction
Factor-TEOM Gravimetric 30
degC
PM2.5 VSCC w/Correction
Factor-TEOM Gravimetric 50
degC
PM2.5 VSCC w/No Correction
Factor-TEOM Gravimetric 30
degC
PM2.5 VSCC-FDMS-
Gravimetric
PM2.5 WINS w/Correction
Factor-TEOM Gravimetric 30
degC
PM2.5 WINS w/No Correction
Factor-TEOM Gravimetric 30
degC
162
501
4184
96
355
323
2.9
1.1
0.0
2.5
0.4
0.9
4.3
3.6
5.1
3.2
5.0
5.5
4.8
4.4
6.0
3.9
6.3
7.0
7.3
6.7
8.2
4.7
8.8
8.8
8.1
7.4
8.8
5.1
9.6
9.6
12.5
10.2
11.4
6.6
12.9
12.5
15.1
12.0
12.6
10.2
13.9
13.4
15.4
11.9
12.7
7.3
14.3
13.3
21.1
15.1
15.7
11.9
17.1
16.7
28.2
21.6
21.0
23.7
23.8
22.1
33.5
26.4
24.7
29.8
29.6
25.4
47.3
46.6
74.1
41.2
50.4
34.6
D5
-------
Table D2. FRM Summary Statistics of Acceptable Data by Region (percentiles in ug m"3)
Method
North Central
Northeast
Northwest
South Central
Southeast
Southwest
N
6900
16493
14872
12740
19288
7092
Min
0.0
0.0
0.0
0.0
0.5
0.0
5th
3.4
3.8
2.4
4.7
5.3
3.0
10th
4.3
4.8
3.0
5.7
6.5
3.6
25th
6.2
7.1
4.3
7.8
9.2
5.1
30th
6.9
7.9
4.8
8.4
10.0
5.6
50th
9.5
11.3
6.7
10.9
13.2
7.7
Mean
11.0
13.3
9.2
12.2
14.8
10.2
60th
11.1
13.5
7.9
12.4
15.1
8.8
75th
14.2
17.4
10.9
15.3
18.7
11.6
90th
19.4
24.7
18.8
20.3
25.1
19.8
95th
23.5
29.7
25.1
24.1
29.4
28.1
Max
61.8
100.7
172.3
74.1
94.1
86.6
D6
-------
Table D3. FRM Summary Statistics of Acceptable Data by State (percentiles in ug m"3)
Method
Alabama
California
District of Columbia
Florida
Georgia
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maryland
Massachusetts
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Jersey
New Mexico
New York
North Carolina
Oklahoma
Oregon
Pennsylvania
South Carolina
Tennessee
Texas
Utah
N
5876
3066
1344
456
3472
1468
904
3368
86
73
825
4184
1288
3850
2610
2172
2350
917
856
353
1858
1400
2207
5576
35
4725
2126
682
2401
6349
2273
Min
1.5
0.6
0.0
1.7
0.5
0.0
1.5
1.6
2.0
3.8
2.1
0.0
2.3
0.3
0.8
2.1
0.0
0.2
1.8
0.8
1.0
1.2
0.1
0.5
3.6
0.0
1.7
2.4
2.1
1.2
0.0
5th
5.9
3.3
4.5
4.6
6.0
2.3
4.4
4.8
3.6
5.5
5.3
5.1
5.0
3.1
2.7
4.6
4.9
1.6
3.3
2.1
4.1
2.8
2.8
4.5
4.3
2.2
4.5
5.8
5.6
4.4
2.8
10th
7.2
4.0
5.2
5.2
7.2
2.7
5.7
6.0
4.2
6.3
6.6
6.0
5.9
4.0
3.5
5.5
5.9
2.2
4.0
2.6
4.8
3.3
3.5
5.6
5.5
2.8
5.5
7.5
6.5
5.5
3.6
25th
10.2
5.5
7.8
7.2
9.7
4.2
7.8
8.8
5.3
8.1
9.0
8.2
8.7
6.0
4.9
7.7
8.1
3.5
5.6
4.5
7.0
4.4
5.3
8.2
6.8
4.1
8.1
10.5
8.8
7.6
5.2
30th
11.0
6.1
8.6
7.9
10.5
4.5
8.7
9.7
5.9
8.7
9.5
8.8
9.7
6.6
5.4
8.5
8.8
3.8
6.0
5.5
7.7
4.8
6.0
8.9
8.6
4.6
9.0
11.2
9.6
8.1
5.8
50th
14.4
8.4
12.1
10.2
13.8
6.3
12.1
13.2
9.8
11.2
12.1
11.4
13.8
9.2
7.5
10.9
11.5
5.6
8.0
7.3
11.0
6.1
8.7
12.1
10.5
6.6
12.9
14.8
12.2
10.6
7.7
Mean
16.6
11.7
13.8
11.7
15.0
9.2
13.6
14.7
11.3
11.9
14.3
12.6
15.7
11.1
9.0
12.4
12.6
8.8
9.5
8.1
13.2
7.6
11.0
13.4
13.1
9.5
15.7
15.8
13.6
11.8
10.1
60th
16.5
9.9
14.6
11.5
15.6
7.5
13.8
15.1
12.2
12.1
13.9
12.7
16.3
10.9
8.7
12.5
13.0
6.9
9.2
8.8
13.1
7.2
10.8
14.2
12.1
7.9
15.2
16.7
13.7
12.0
8.6
75th
20.8
13.7
18.2
14.3
19.0
11.1
16.7
18.8
15.7
13.8
17.8
15.7
21.0
14.4
11.4
15.5
15.8
10.3
12.1
10.3
17.3
9.2
14.8
17.5
17.6
11.1
20.0
20.4
16.8
14.9
11.4
90th
28.8
25.1
24.8
19.9
24.6
20.7
23.5
25.2
21.5
20.0
25.1
21.0
27.9
21.0
16.3
21.0
20.8
20.3
16.8
14.0
24.7
12.9
21.9
22.9
25.4
20.3
29.8
25.5
22.4
19.6
18.3
95th
34.4
32.8
28.9
24.9
28.0
25.3
31.8
29.8
26.0
24.1
29.5
24.7
32.8
25.2
19.9
25.0
24.6
26.7
20.5
18.7
29.6
17.5
26.4
26.4
29.6
27.8
36.9
28.1
26.5
23.3
26.8
Max
64.4
86.6
45.6
44.9
94.1
172.3
56.2
57.1
32.2
28.3
54.1
74.1
49.5
49.7
61.8
49.5
50.4
131.9
38.7
31.9
51.0
52.0
50.8
44.1
30.9
73.0
100.7
39.9
53.6
47.0
86.6
D7
-------
Washington
West Virginia
Wsconsin
7762
452
21
0.7
3.2
4.1
2.7
5.2
6.0
3.2
6.4
6.2
4.6
9.1
8.5
5.1
9.7
12.0
6.9
13.1
15.5
9.0
14.9
15.9
8.1
14.9
16.0
10.8
18.9
18.2
17.3
26.0
24.3
23.1
32.6
27.0
71.6
47.5
49.2
D8
-------
Table D4. FRM Summary Statistics of Acceptable Data by Season (percent!les in ug m"3)
Method
Autumn
Spring
Summer
Winter
N
19375
19515
18965
19530
Min
0.0
0.0
0.0
0.2
5th
3.5
3.1
3.4
3.4
10th
4.4
4.0
4.5
4.4
25th
6.5
6.0
7.1
6.7
30th
7.2
6.6
7.9
7.5
50th
10.1
9.2
11.6
10.4
Mean
12.0
10.8
13.7
12.3
60th
11.9
10.8
14.0
12.2
75th
15.6
13.9
18.6
15.6
90th
22.3
19.3
26.0
22.2
95th
26.8
23.4
30.7
27.6
Max
100.7
94.1
172.3
86.6
D9
-------
Table D5. SC Summary Statistics of Acceptable Data by Method (percentiles in ug m"3)
Method
Andersen BAM W/PM2.5
VSCC-Beta Attenuation
Correlated Radiance
Research M903-Nephelometry
Met-One BAM W/PM2.5 SCC-
Beta Attenuation
Met-One BAM W/PM2.5
VSCC-Beta Attenuation
PM2.5 SCC w/Correction
Factor-TEOM Gravimetric 30
degC
PM2.5 SCC w/Correction
Factor-TEOM Gravimetric 50
degC
PM2.5 SCC w/No Correction
Factor-TEOM Gravimetric 30
degC
PM2.5 SCC w/No Correction
Factor-TEOM Gravimetric 50
degC
PM2.5 SCC-FDMS-
Gravi metric
PM2.5 SSI w/Correction
Factor-TEOM Gravimetric 30
degC
PM2.5 SSI w/Correction
Factor-TEOM Gravimetric 50
degC
PM2.5 SSI w/No Correction
Factor-TEOM Gravimetric 50
degC
PM2.5 VSCC w/Correction
N
353
8758
12117
86
1931
22085
5395
11834
5284
1101
1542
1221
57
Min
1.6
0.5
1.5
3.2
0.5
0.0
0.0
0.0
0.0
1.2
2.8
0.5
3.6
5th
3.5
2.6
2.9
4.3
3.8
4.6
3.4
3.6
3.9
4.1
4.2
6.0
4.7
10th
4.2
3.1
3.8
5.6
4.7
5.7
4.7
5.0
5.0
4.7
4.8
7.4
5.3
25th
6.2
4.4
5.9
7.4
7.1
8.0
7.4
7.9
7.3
6.3
6.0
9.9
6.7
30th
6.8
4.8
6.5
7.9
7.7
8.6
8.2
8.7
7.9
6.8
6.4
10.7
7.3
50th
8.9
6.6
9.5
11.6
10.6
11.4
11.7
12.2
10.9
9.0
8.0
13.8
9.8
Mean
9.5
9.2
11.7
13.1
12.2
13.0
13.5
14.0
13.0
11.2
8.7
15.4
12.9
60th
10.0
7.9
11.2
13.8
12.4
13.1
13.9
14.2
12.7
10.5
8.8
15.6
12.2
75th
11.6
10.9
15.0
17.3
15.6
16.4
17.9
18.2
16.5
13.7
10.4
18.7
17.0
90th
15.0
19.3
22.5
23.3
21.1
22.3
24.8
25.5
23.4
20.9
13.3
25.4
26.6
95th
18.2
25.4
28.6
28.2
27.0
26.6
29.7
31.0
28.9
26.8
15.9
31.1
32.9
Max
45.2
70.7
143.4
32.1
58.4
108.0
109.8
66.7
91.2
55.8
40.7
60.3
35.1
D10
-------
Factor-TEOM Gravimetric
PM2.5 VSCC w/Correction
Factor-TEOM Gravimetric 30
degC
PM2.5 VSCC w/Correction
Factor-TEOM Gravimetric 50
degC
PM2.5 VSCC w/No Correction
Factor-TEOM Gravimetric 30
degC
PM2.5 VSCC-FDMS-
Gravimetric
PM2.5 WINS w/Correction
Factor-TEOM Gravimetric 30
degC
PM2.5 WINS w/No Correction
Factor-TEOM Gravimetric 30
degC
162
501
4184
96
355
323
3.0
2.7
0.0
3.7
2.8
2.8
4.7
4.7
4.1
5.7
6.5
6.8
6.3
5.4
5.2
6.5
7.7
8.0
8.6
7.4
7.4
8.6
10.0
10.4
9.4
8.4
7.9
9.3
10.5
11.0
13.5
11.2
10.6
13.9
13.1
13.5
15.2
13.3
11.8
15.3
14.5
14.4
15.6
13.1
12.0
15.1
14.7
14.8
20.6
16.8
14.8
16.7
17.0
17.3
26.7
24.2
20.2
28.2
23.8
21.8
33.0
30.1
24.1
35.0
28.1
26.1
42.3
46.9
46.3
48.5
51.0
37.3
Dll
-------
Table D6. SC Summary Statistics of Acceptable Data by Region (percentiles in ug m"3)
Method
North Central
Northeast
Northwest
South Central
Southeast
Southwest
N
6900
16493
14872
12740
19288
7092
Min
0.5
0.0
0.5
0.0
0.5
0.0
5th
3.6
3.4
2.8
4.5
5.5
2.6
10th
4.8
4.7
3.4
5.4
6.7
3.4
25th
7.1
7.3
4.9
7.5
9.3
5.2
30th
7.8
8.1
5.3
8.1
10.1
5.8
50th
10.8
11.4
7.2
10.5
13.4
8.4
Mean
12.1
13.4
9.4
11.7
15.1
10.9
60th
12.5
13.4
8.4
11.9
15.3
9.8
75th
15.4
17.3
11.1
14.7
19.0
13.1
90th
20.9
24.8
18.4
19.7
25.6
20.7
95th
26.0
30.2
24.2
23.4
30.3
28.6
Max
73.1
85.6
143.4
50.3
109.8
92.6
D12
-------
Table D7. SC Summary Statistics of Acceptable Data by State (percent!les in ug m"3)
Method
Alabama
California
District of Columbia
Florida
Georgia
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maryland
Massachusetts
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Jersey
New Mexico
New York
North Carolina
Oklahoma
Oregon
Pennsylvania
South Carolina
Tennessee
Texas
Utah
N
5876
3066
1344
456
3472
1468
904
3368
86
73
825
4184
1288
3850
2610
2172
2350
917
856
353
1858
1400
2207
5576
35
4725
2126
682
2401
6349
2273
Min
2.2
1.5
0.0
2.8
1.1
1.2
2.2
1.2
3.2
3.3
0.5
0.0
4.5
1.5
1.5
1.8
1.3
1.5
0.5
1.6
0.0
0.1
0.0
1.5
5.2
0.5
1.5
1.1
3.0
1.4
0.0
5th
6.5
3.0
3.0
5.5
4.6
3.1
4.3
5.8
4.3
5.2
3.5
4.1
7.2
2.9
2.9
5.7
5.0
2.3
4.4
3.5
2.4
1.8
2.6
5.4
5.7
2.6
4.5
4.7
6.8
4.4
3.3
10th
7.7
3.9
3.9
6.5
5.8
3.8
5.6
6.9
5.6
6.5
4.8
5.2
8.1
3.9
3.7
6.6
6.1
2.7
5.7
4.2
3.5
2.3
3.6
6.5
6.8
3.1
5.9
6.2
7.8
5.3
4.3
25th
10.6
6.0
5.7
8.5
8.5
5.3
8.1
9.1
7.4
8.4
7.1
7.4
10.4
6.2
5.6
8.5
8.6
4.0
8.4
6.2
6.0
3.2
5.6
8.9
7.8
4.4
9.2
9.5
10.1
7.3
6.1
30th
11.5
6.7
6.3
9.1
9.2
5.8
9.0
10.0
7.9
8.8
7.8
7.9
11.1
6.9
6.1
9.1
9.4
4.3
9.0
6.8
6.7
3.6
6.3
9.6
8.5
4.8
10.1
10.7
10.8
7.8
6.5
50th
14.7
9.8
9.3
11.6
12.9
7.5
12.0
13.1
11.6
12.2
10.0
10.6
14.1
9.8
8.4
11.5
12.1
6.3
12.6
8.9
10.2
5.1
9.3
12.7
10.8
6.6
13.8
14.5
14.0
10.1
8.7
Mean
16.8
12.7
11.2
13.0
14.5
9.8
13.4
14.8
13.1
12.8
12.6
11.8
15.8
11.9
10.2
12.9
13.0
9.6
14.4
9.5
12.4
6.6
11.2
13.9
13.6
9.6
16.8
15.4
15.6
11.3
11.2
60th
16.7
11.6
11.4
12.8
14.9
8.8
13.7
14.8
13.8
13.4
12.1
12.0
16.1
11.5
10.0
12.9
13.5
7.6
14.5
10.0
12.1
6.0
10.9
14.5
12.0
8.0
15.9
16.7
15.6
11.5
9.9
75th
20.8
15.6
14.8
15.4
18.9
11.9
16.5
18.4
17.3
15.1
15.7
14.8
19.7
15.7
13.1
15.6
16.1
11.3
18.5
11.6
16.3
8.3
14.8
17.7
18.9
11.3
21.5
20.3
19.0
14.2
12.7
90th
28.4
25.5
21.2
21.5
25.0
18.9
23.2
24.8
23.3
20.5
23.8
20.2
25.7
23.2
18.5
21.2
21.0
21.5
26.9
15.0
25.1
13.5
21.7
23.3
25.3
20.3
31.7
25.8
25.7
18.7
20.4
95th
34.5
33.0
26.0
27.2
29.5
24.0
29.3
29.8
28.2
25.5
30.1
24.1
30.0
27.8
22.5
25.1
24.6
28.3
30.4
18.2
30.5
16.9
26.1
26.6
31.8
27.8
39.5
29.5
31.1
22.0
27.8
Max
66.7
92.6
46.8
50.0
109.8
108.0
46.9
59.5
32.1
30.1
51.0
46.3
46.8
54.5
73.1
50.3
51.0
143.4
51.7
45.2
56.4
56.5
45.8
50.7
31.8
70.7
85.6
41.4
60.3
46.1
91.2
D13
-------
Washington
West Virginia
Wsconsin
7762
452
21
0.7
2.3
0.5
2.9
5.4
2.1
3.8
6.4
2.8
5.3
9.0
3.9
5.7
9.6
4.2
7.5
13.1
7.5
9.2
14.5
7.1
8.6
14.8
8.0
10.9
18.1
9.5
16.7
24.5
12.4
22.0
30.1
13.3
63.3
47.8
14.7
D14
-------
Table D8. SC Summary Statistics of Acceptable Data by Season (percentiles in ug m"3)
Method
Autumn
Spring
Summer
Winter
N
19375
19515
18965
19530
Min
0.0
0.1
0.0
0.0
5th
3.5
3.2
3.5
3.5
10th
4.6
4.2
4.7
4.5
25th
6.9
6.4
7.5
6.7
30th
7.6
7.1
8.4
7.4
50th
10.5
9.8
12.2
10.0
Mean
12.4
11.2
14.4
11.8
60th
12.4
11.4
14.7
11.6
75th
15.9
14.5
19.3
14.6
90th
22.5
19.8
26.9
20.7
95th
26.9
23.9
32.0
26.3
Max
85.6
109.8
143.4
92.6
D15
-------
D16
-------
Appendix E
Figure E1. Box plot of FRM Summary Statistics of Atmospheric Data by
Method
Table E1. FRM Summary Statistics of Atmospheric Data by Method
Table E2. FRM Summary Statistics of Atmospheric Data by Region
Table E3. FRM Summary Statistics of Atmospheric Data by State
Table E4. FRM Summary Statistics of Atmospheric Data by Season
Table E5. SC Summary Statistics of Atmospheric Data by Method
Table E6. SC Summary Statistics of Atmospheric Data by Region
Table E7. SC Summary Statistics of Atmospheric Data by State
Table E8. SC Summary Statistics of Atmospheric Data by Season
-------
E2
-------
Figure E1. Box plot of FRM Summary Statistics of Atmospheric Data by Method
O
O
[I
LI
si
S Ln
CD W
m
tn
w
to
Ln
W
O
O
KJ
CJl
M
O
O
CQ o
o 8
m
Q
E3
-------
Table E1. FRM Summary Statistics of Atmospheric Data by Method (percentiles in ug m"3)
Method
PM2.5 SCC w/ No Correction
Factor - TEOM Gravimetric
30 deg C
PM2.5 SCC w/ No Correction
Factor - TEOM Gravimetric
50 deg C
PM2.5 SCC-FDMS-
Gravimetric
PM2.5 VSCC-FDMS-
Gravimetric
N
104
156
24224
7892
Min
4.7
2.1
0.0
0.0
5th
6.0
3.9
3.5
3.3
10th
6.5
4.4
4.5
4.1
25th
8.1
5.9
6.6
6.0
30th
8.6
6.4
7.4
6.6
50th
10.6
9.2
10.7
9.3
Mean
11.9
11.6
12.6
10.8
60th
12.8
11.6
12.7
10.8
75th
15.2
15.6
16.5
13.9
90th
18.4
21.6
23.4
19.7
95th
20.0
27.0
28.2
23.9
Max
28.0
46.8
81.6
57.2
E4
-------
Table E2. FRM Summary Statistics of Atmospheric Data by Region (percentiles in ug
Method
North Central
Northeast
South Central
Southeast
Southwest
N
12341
14063
2164
1726
2082
Min
0.0
0.0
0.0
0.5
0.0
5th
3.4
3.4
3.9
5.7
3.7
10th
4.2
4.3
4.8
7.3
4.5
25th
6.2
6.4
6.9
10.2
6.2
30th
6.9
7.2
7.5
11.0
6.6
50th
9.8
10.8
10.0
14.8
8.2
Mean
11.5
12.8
11.0
16.3
9.5
60th
11.7
13.0
11.3
17.0
9.0
75th
15.0
17.1
13.8
20.8
11.0
90th
20.7
24.5
18.6
27.4
15.7
95th
25.0
29.3
22.0
31.0
19.7
Max
57.2
81.6
37.4
63.0
71.6
E5
-------
Table E3. FRM Summary Statistics of Atmospheric Data by State (percentiles in ug m"3)
Method
Alabama
Arizona
Colorado
Connecticut
Iowa
Kansas
Michigan
Missouri
New Hampshire
New Jersey
New York
North Carolina
Ohio
Oklahoma
Pennsylvania
South Carolina
Vermont
Wisconsin
N
463
583
1499
1151
3694
415
4631
2009
503
1661
614
561
2370
2164
1940
702
1193
6223
Min
3.9
0.5
0.0
1.0
1.1
2.5
0.3
0.0
0.1
1.1
1.4
0.5
2.3
0.0
0.0
2.4
0.5
0.1
5th
6.9
4.9
3.3
3.1
3.5
5.0
3.1
4.6
2.8
4.1
2.8
4.7
4.8
3.9
4.4
5.9
2.4
3.0
10th
8.6
5.7
4.2
3.8
4.3
5.9
4.0
5.7
3.5
4.9
3.5
6.0
5.8
4.8
5.4
7.5
3.0
3.8
25th
11.9
7.1
5.8
5.5
6.2
7.9
6.2
7.9
4.9
7.1
5.0
8.9
8.3
6.9
8.2
10.5
4.6
5.7
30th
12.7
7.6
6.2
6.1
6.9
8.6
6.9
8.5
5.2
7.8
5.7
9.6
9.2
7.5
9.1
11.4
5.0
6.3
50th
16.8
9.5
7.7
9.0
9.5
11.3
10.9
11.1
7.2
11.2
7.8
13.0
12.7
10.0
13.3
14.9
7.3
9.4
Mean
19.3
11.3
8.8
11.1
11.1
12.3
13.0
12.3
8.9
13.3
9.8
14.3
14.4
11.0
15.1
15.9
9.6
11.3
60th
19.6
10.6
8.6
11.0
11.2
12.6
13.1
12.7
8.9
13.3
9.2
15.3
14.7
11.3
15.4
16.9
9.0
11.5
75th
24.3
13.0
10.1
14.7
14.5
14.9
17.5
15.4
11.5
17.7
13.1
18.6
18.9
13.8
20.2
20.4
12.8
15.1
90th
32.6
18.9
14.2
21.5
20.2
20.5
24.9
20.3
15.7
24.9
18.9
24.3
25.0
18.6
27.7
25.5
19.7
21.0
95th
39.2
23.8
17.8
26.3
24.0
24.5
29.8
23.6
19.1
29.7
22.1
28.0
30.0
22.0
32.3
28.2
24.3
26.0
Max
63.0
71.6
61.0
45.8
57.2
37.9
81.6
45.7
38.4
51.0
38.3
42.0
56.6
37.4
61.9
39.9
42.3
50.6
E6
-------
Table E4. FRM Summary Statistics of Atmospheric Data by Season (percentiles in ug m"3)
Method
Autumn
Spring
Summer
Winter
N
8549
8056
7742
8029
Min
0.3
0.0
0.0
0.0
5th
3.0
3.5
4.0
3.9
10th
3.8
4.2
5.1
4.8
25th
5.7
5.9
7.5
7.2
30th
6.3
6.5
8.2
7.9
50th
9.3
9.1
11.5
11.3
Mean
11.3
10.9
13.7
12.9
60th
11.1
10.9
13.7
13.1
75th
14.8
14.2
18.2
16.6
90th
21.4
19.9
25.2
23.1
95th
26.0
24.0
29.6
27.9
Max
63.0
53.9
63.0
81.6
E7
-------
Table E5. SC Summary Statistics of Atmospheric Data by Method (percentiles in ug
Method
PM2.5 SCC w/No Correction
Factor-TEOM Gravimetric 30
degC
PM2.5 SCC w/No Correction
Factor-TEOM Gravimetric 50
degC
PM2.5 SCC-FDMS-
Gravimetric
PM2.5 VSCC-FDMS-
Gravimetric
N
104
156
24224
7892
Min
5.8
0.3
0.0
0.2
5th
7.0
1.8
2.9
3.4
10th
7.5
2.4
4.3
4.5
25th
8.7
3.0
7.6
7.2
30th
9.1
3.2
8.5
7.9
50th
10.6
4.7
12.7
11.5
Mean
11.5
5.7
14.8
13.2
60th
11.3
5.7
15.0
13.6
75th
13.7
7.6
19.7
17.6
90th
17.2
10.6
28.1
24.2
95th
18.5
13.2
34.0
28.6
Max
20.2
18.4
84.7
65.3
E8
-------
Table E6. SC Summary Statistics of Atmospheric Data by Region (percentiles in ug m"3)
Method
North Central
Northeast
South Central
Southeast
Southwest
N
12341
14063
2164
1726
2082
Min
0.0
0.0
0.8
0.0
0.0
5th
2.5
3.1
4.1
5.9
4.0
10th
3.7
4.5
5.8
8.1
5.2
25th
6.5
7.8
9.3
12.0
7.5
30th
7.3
8.8
10.4
13.1
8.2
50th
10.8
13.4
14.9
17.7
10.7
Mean
12.3
15.6
15.9
19.1
12.0
60th
12.7
16.0
17.5
20.3
12.1
75th
16.3
21.2
21.5
24.9
14.8
90th
22.7
30.0
27.0
31.4
19.7
95th
27.4
35.7
31.0
36.7
24.2
Max
59.1
84.7
47.0
64.9
75.6
E9
-------
Table E7. SC Summary Statistics of Atmospheric Data by State (percentiles in ug m"3)
Method
Alabama
Arizona
Colorado
Connecticut
Iowa
Kansas
Michigan
Missouri
New Hampshire
New Jersey
New York
North Carolina
Ohio
Oklahoma
Pennsylvania
South Carolina
Vermont
Wisconsin
N
463
583
1499
1151
3694
415
4631
2009
503
1661
614
561
2370
2164
1940
702
1193
6223
Min
2.9
3.0
0.0
0.8
0.1
2.0
0.0
0.8
0.5
0.3
0.0
3.4
0.5
0.8
0.6
0.0
0.3
0.0
5th
7.0
5.5
3.6
2.6
3.0
5.1
3.9
4.7
2.5
2.6
0.8
9.5
3.9
4.1
4.8
4.4
3.0
1.9
10th
10.0
6.7
4.8
3.7
4.1
6.8
6.0
5.9
3.4
3.8
1.3
10.7
5.3
5.8
6.3
6.3
4.1
3.0
25th
13.1
8.7
7.1
6.0
6.6
9.3
10.5
8.4
5.8
6.1
3.0
13.9
8.7
9.3
10.1
9.7
6.1
5.6
30th
14.0
9.4
7.7
6.6
7.3
10.2
11.7
9.1
6.5
7.1
3.7
15.1
9.8
10.4
11.2
10.7
6.9
6.5
50th
18.7
11.7
10.3
9.9
10.5
13.8
16.6
11.9
9.6
11.2
6.1
20.0
13.9
14.9
15.7
15.1
9.2
10.2
Mean
21.2
13.5
11.4
12.3
12.0
14.8
18.6
13.1
10.8
13.5
8.7
21.1
16.0
15.9
17.7
16.0
11.4
12.1
60th
22.3
12.9
11.6
11.9
12.2
16.0
19.6
13.7
11.5
13.5
8.0
22.6
16.5
17.5
18.3
17.5
10.9
12.4
75th
27.2
16.3
14.1
16.7
15.9
18.3
24.8
16.6
14.3
18.2
12.7
27.2
21.2
21.5
23.9
21.6
14.6
16.3
90th
36.7
22.3
18.8
24.3
21.8
23.8
34.1
21.7
19.2
26.9
19.3
32.7
29.3
27.0
31.7
27.5
22.1
23.9
95th
41.4
26.9
22.5
29.9
25.8
29.3
39.8
25.4
24.2
32.4
25.1
37.3
34.5
31.0
37.4
31.2
26.8
29.2
Max
64.9
65.3
75.6
54.5
59.1
47.6
84.7
45.8
44.0
57.4
40.9
52.2
73.3
47.0
64.4
42.8
49.2
57.0
E10
-------
Table E8. SC Summary Statistics of Atmospheric Data by Season (percentiles in ug m"3)
Method
Autumn
Spring
Summer
Winter
N
8549
8056
7742
8029
Min
0.0
0.0
0.0
0.0
5th
2.6
2.6
4.1
3.0
10th
3.9
3.9
5.7
4.4
25th
6.8
6.8
9.1
7.5
30th
7.6
7.7
10.1
8.4
50th
11.4
11.5
14.3
12.4
Mean
13.6
13.2
16.6
14.1
60th
13.7
13.7
17.1
14.4
75th
18.2
17.7
22.4
18.6
90th
26.0
24.9
30.7
25.5
95th
31.9
29.9
36.1
31.2
Max
73.3
66.3
74.0
84.7
Ell
-------
E12
-------
Appendix F
Figure F1. Box plot of FRM Summary Statistics of Raw Data by Method
Table F1. FRM Summary Statistics of Raw Data by Method
Table F2. FRM Summary Statistics of Raw Data by Region
Table F3. FRM Summary Statistics of Raw Data by State
Table F4. FRM Summary Statistics of Raw Data by Season
Table F5. SC Summary Statistics of Raw Data by Method
Table F6. SC Summary Statistics of Raw Data by Region
Table F7. SC Summary Statistics of Raw Data by State
Table F8. SC Summary Statistics of Raw Data by Season
-------
F2
-------
Figure F1. Box Plot of FRM Summary Statistics of Raw Data by Method
[
c
)
j
i
T3
SD
0
-H
rn
o
S
cb
Automated WINS 2.5um
[
t
H
i
i
H
i
SCC-Beta Attenuation
13
CD
CO
CD
i
T
K.
en
[
1
1 '
i
I
i
Andersen BAM W/PM2.5
VSCC-Beta Attenuation
I
c
4
I
i
^
T
Met-One BAM W/PM2.5
SCC-Beta Attenuation
[
[
^
]
]
i
i
m
o
S
CD
Q.
CD
O
Tl
S
en
W
O
O
o
o
c
1
1
1 [1
1 [1
1
1 TD 1 -D
m g* m ^
0 M 0 S
S en S cn
O W CD W
18 ?8
°o ' I
D ? O '
o S
[
[
H
]
]
h
i
1
m
o
S
CD
£U
<
Q-
CD
Q
K:
en
cn
O
O
z
D
O
o
[
[
*
1
m
O
o
o
Q_
CD
CD
O
]
]
H
T)
SJ
cn
O
o
o
^
I
1
H
1
1
h
i
-1 -D
O KJ
Sen
CD CO
s8
g-°
[
[
^
1 [I [1
1 C 1 [|
1 -I-
~O 1 -D H "D 1 T3
KJ O KJ O KJ CD KJ
cn S en S en S en
W CD GQ O < Q <
-TI * S. ^j o * O
|> op oo oo
[
[
1
]
-^
"O
en
w
o
[
[
-1
: J
T
i y
-1 -D H "D
O KJ n KJ
S en S cn
l^ 0,^
o" o"
E
CD
O
F3
-------
Table F1. FRM Summary Statistics of Raw Data by Method (percentiles in ug m"3)
Method
Automated WINS 2. Sum
Impactor-TEOM-
Gravimetric
Andersen BAM W/PM2.5
SCC-Beta Attenuation
Andersen BAM W/PM2.5
VSCC-Beta Attenuation
Met-One BAM W/PM2.5
SCC-Beta Attenuation
PM2.5 SCC w/
Correction Factor-TEOM
Gravimetric 30 deg C
PM2.5 SCC w/
Correction Factor-TEOM
Gravimetric 50 deg C
PM2.5 SCC w/No
Correction Factor-TEOM
Gravimetri
PM2.5 SCC w/No
Correction Factor-TEOM
Gravimetric 30 deg C
PM2.5 SCC w/No
Correction Factor-TEOM
Gravimetric 40 deg C
PM2.5 SCC w/No
Correction Factor-TEOM
Gravimetric 50 deg C
PM2.5 SCC-FDMS-
Gravimetric
PM2.5 SSI w/No
Correction Factor-TEOM
Gravimetric 50 deg C
N
427
4600
1140
23266
1732
20725
344
4697
1244
30198
4599
1443
Min
2.5
0.7
0.6
0.0
2.0
0.0
1.2
0.0
0.2
0.0
0.7
1.0
5th
4.5
3.5
2.7
3.9
4.8
3.8
2.5
3.2
2.0
3.6
3.6
3.6
10th
5.6
4.7
3.3
4.8
6.1
4.7
3.0
4.3
2.6
4.7
4.5
4.5
25th
7.8
7.1
4.9
7.0
8.7
6.5
4.6
6.9
3.7
7.1
6.7
6.7
30th
8.4
7.9
5.2
7.8
9.5
7.1
5.1
7.7
4.0
7.8
7.3
7.5
50th
10.7
11.1
7.0
11.0
12.8
9.6
7.1
11.2
5.8
11.1
10.5
9.8
Mean
11.8
13.0
8.1
13.7
13.9
11.1
8.8
13.0
6.8
12.8
12.6
11.2
60th
11.9
13.2
7.8
12.8
14.6
11.0
8.1
13.4
6.7
13.0
12.2
11.2
75th
14.4
17.2
9.7
17.0
18.2
14.0
10.5
17.5
8.9
16.7
16.1
14.0
90th
19.6
23.9
13.6
26.0
23.6
19.6
18.1
24.2
12.4
23.2
23.1
19.9
95th
23.0
28.4
17.7
33.9
26.5
24.0
22.7
28.2
15.5
27.8
28.7
23.6
Max
48.3
53.3
59.5
126.2
51.3
81.1
36.5
55.9
25.2
100.7
86.9
48.0
F4
-------
PM2.5 VSCC w/No
Correction Factor-TEOM
Gravimetric 30 deg C
PM2.5 VSCC w/No
Correction Factor-TEOM
Gravimetric 50 deg C
PM2.5 VSCC-FDMS-
Gravimetric
PM2.5 WINS w/No
Correction Factor-TEOM
Gravimetric 30 deg C
PM2.5 WINS w/No
Correction Factor-TEOM
Gravimetric 50 deg C
1279
3212
1434
1667
60
0.2
0.1
0.9
0.4
3.2
5.0
4.4
3.4
4.5
4.3
6.0
5.6
4.2
5.5
4.5
8.4
7.9
6.1
8.0
5.7
9.2
8.6
6.8
8.8
6.1
12.4
11.5
9.5
12.2
8.0
14.0
13.2
11.4
14.3
8.8
14.2
13.3
11.3
13.9
8.7
17.9
17.2
14.6
17.5
10.3
24.6
23.2
21.1
24.6
15.0
28.8
27.9
25.6
31.7
17.1
53.7
58.7
45.9
94.2
27.8
F5
-------
Table F2. FRM Summary Statistics of Raw Data by Region (percentiles in ug m"3)
Method
North Central
Northeast
Northwest
South Central
Southeast
Southwest
N
9574
37127
666
5526
34116
14942
Min
0.2
0.0
1.1
0.0
0.0
0.0
5th
3.0
3.4
2.7
4.3
4.3
3.5
10th
3.8
4.5
3.2
5.3
5.2
4.3
25th
5.9
6.7
4.5
7.6
7.3
6.5
30th
6.5
7.5
5.1
8.2
8.0
7.0
50th
9.3
11.0
7.2
10.6
10.8
10.0
Mean
11.1
13.0
10.1
12.0
12.3
13.4
60th
11.1
13.1
8.6
12.0
12.4
11.4
75th
14.5
17.2
12.8
15.1
15.7
15.1
90th
20.7
24.4
20.8
20.3
21.5
27.7
95th
25.2
29.4
25.6
23.9
25.5
38.0
Max
56.2
100.7
55.2
60.4
81.1
126.2
F6
-------
Table F3. FRM Summary Statistics of Raw Data by State (percent!les in ug m"3)
Method
Alabama
Alaska*
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
Florida
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Maine
Maryland
Michigan
Missouri
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Ohio
Oklahoma
Pennsylvania
Rhode Island
South Carolina
N
1003
116
139
1669
11443
1029
2482
2283
8455
666
3157
3804
2034
439
2093
1721
1553
2416
1370
912
443
1064
138
8149
9986
1413
4785
1094
7237
1190
3468
Min
0.5
0.0
3.7
0.4
0.0
0.5
0.4
0.7
0.7
1.1
1.5
1.4
0.9
1.5
3.0
0.2
1.0
0.0
0.4
1.1
0.0
0.8
2.0
0.1
0.0
0.2
2.1
0.6
0.0
0.7
1.1
5th
4.9
0.7
5.1
5.0
4.0
3.5
3.2
4.6
3.9
2.7
4.5
4.7
3.3
3.5
5.8
2.2
4.6
2.9
5.0
2.4
1.8
4.6
3.8
2.6
4.6
2.0
5.0
3.6
4.2
2.9
4.4
10th
6.0
1.3
6.1
6.2
4.9
4.5
4.2
5.6
4.6
3.2
5.7
5.9
4.1
4.3
6.9
3.0
5.4
3.9
6.5
3.2
2.8
5.7
4.6
3.5
5.7
2.6
6.2
4.5
5.3
3.6
5.7
25th
8.2
2.3
8.5
8.5
7.0
6.2
6.1
7.8
6.3
4.5
7.8
8.6
6.0
6.3
9.7
4.6
7.9
6.2
9.0
4.8
4.2
8.1
5.6
5.4
8.4
3.5
8.7
6.7
8.0
5.0
8.4
30th
8.7
2.5
9.3
9.2
8.0
6.5
6.6
8.7
6.7
5.1
8.6
9.4
6.7
6.9
10.5
5.1
8.7
7.1
9.6
5.2
4.6
8.9
6.0
6.0
9.2
3.9
9.5
7.4
8.9
5.3
9.2
50th
11.2
3.8
11.8
12.1
10.8
8.3
9.6
12.1
8.7
7.2
12.1
13.1
9.4
9.2
13.7
7.2
12.0
10.8
12.9
7.0
6.7
12.2
8.2
8.8
12.5
5.4
12.7
9.7
12.9
7.6
12.7
Mean
12.6
5.7
14.9
13.6
14.4
9.5
11.9
14.0
9.8
10.1
13.6
14.4
11.3
10.3
15.2
8.6
14.1
12.4
14.1
8.2
8.5
14.2
10.1
11.1
13.6
6.3
14.4
10.9
15.4
9.8
13.7
60th
12.7
4.2
14.4
13.7
12.2
9.3
11.5
14.1
9.8
8.6
13.8
15.0
11.1
10.5
15.7
8.3
14.4
13.0
14.2
7.9
7.6
14.2
9.3
10.9
14.4
6.2
14.5
11.0
15.3
9.4
14.4
75th
15.7
7.2
18.3
17.0
16.3
11.1
15.8
18.3
11.9
12.8
17.1
18.6
14.6
13.2
19.0
11.0
19.1
16.7
17.5
10.0
10.3
18.5
11.7
14.9
17.6
8.0
18.4
13.6
20.0
12.7
18.0
90th
20.9
11.6
27.9
22.9
30.0
15.8
22.8
25.2
15.8
20.8
23.8
24.5
20.8
17.7
25.6
16.8
25.1
23.3
23.5
15.1
17.7
25.7
18.8
22.1
23.1
11.1
24.9
18.5
28.6
19.0
23.6
95th
24.5
15.9
32.3
26.8
40.0
20.4
27.8
29.9
18.8
25.6
29.3
29.0
25.3
21.6
29.7
20.2
29.8
26.9
27.9
19.7
22.5
30.6
27.0
26.6
26.8
13.5
29.3
22.3
34.9
23.4
26.5
Max
53.7
45.9
91.5
48.5
126.2
50.7
49.3
53.3
81.1
55.2
56.2
57.1
53.4
34.5
51.3
37.5
49.5
66.3
50.4
59.5
44.9
56.4
45.9
52.8
44.1
28.1
57.2
45.2
100.7
44.1
51.3
F7
-------
South Dakota
Tennessee
Texas
Utah
Virginia
1161
3977
2763
1281
2555
0.6
0.1
0.0
0.7
1.0
2.3
4.7
4.2
2.7
4.3
2.8
5.9
5.3
3.6
5.3
4.3
8.2
7.5
5.1
7.5
4.7
9.0
8.1
5.5
8.2
6.3
12.0
10.2
7.4
11.2
6.8
13.7
11.5
12.1
12.7
7.0
13.8
11.7
8.6
12.9
8.6
17.7
14.4
12.0
16.4
11.3
23.7
19.5
28.6
22.4
13.4
28.1
22.2
43.6
26.0
35.5
58.7
60.4
94.2
45.2
*Alaska was not included in the analysis.
F8
-------
Table F4. FRM Summary Statistics of Raw Data by Season (percentiles in ug m"3)
Method
Autumn
Spring
Summer
Winter
N
25962
25569
25746
24790
Min
0.0
0.0
0.0
0.0
5th
3.3
3.5
4.3
3.7
10th
4.2
4.4
5.4
4.7
25th
6.3
6.4
8.0
7.0
30th
7.0
7.0
8.8
7.7
50th
9.8
9.7
12.2
10.6
Mean
12.0
11.1
14.3
13.0
60th
11.6
11.2
14.5
12.4
75th
15.3
14.2
18.9
15.9
90th
22.4
19.5
26.0
23.3
95th
27.6
23.4
30.7
30.0
Max
126.2
81.1
104.0
94.2
F9
-------
Table F5. SC Summary Statistics of Raw Data by Method (percentiles in ug m"3)
Method
AUTOMATED WINS
2.5UM IMPACTOR-
TEOM-GRAVIMETRIC
Andersen BAM W/PM2.5
SCC-Beta Attenuation
Andersen BAM W/PM2.5
VSCC-Beta Attenuation
Met-One BAM W/PM2.5
SCC-Beta Attenuation
PM2.5 SCC w/Correction
Factor-TEOM
Gravimetric 30 deg C
PM2.5 SCC w/Correction
Factor-TEOM
Gravimetric 50 deg C
PM2.5 SCC w/No
Correction Factor-TEOM
Gravimetri
PM2.5 SCC w/No
Correction Factor-TEOM
Gravimetric 30 deg C
PM2.5 SCC w/No
Correction Factor-TEOM
Gravimetric 40 deg C
PM2.5 SCC w/No
Correction Factor-TEOM
Gravimetric 50 deg C
PM2.5 SCC-FDMS-
Gravimetric
PM2.5 SSI w/No
Correction Factor-TEOM
Gravimetric 50 deg C
N
427
4600
1140
23266
1732
20725
344
4697
1244
30198
4599
1443
Min
2.2
1.0
1.0
1.5
2.2
0.6
0.4
0.0
0.0
0.0
0.0
0.0
5th
5.5
3.2
3.0
4.0
6.7
5.3
1.2
3.1
1.1
3.4
3.4
3.2
10th
6.6
4.9
3.6
5.2
8.2
6.4
1.9
4.5
1.7
4.6
4.8
4.2
25th
9.3
8.8
5.7
8.3
10.9
8.3
3.7
7.0
2.8
6.9
8.1
6.8
30th
9.9
9.9
6.3
9.2
11.8
8.8
4.1
7.7
3.2
7.6
9.1
7.4
50th
12.5
14.1
8.5
13.0
15.2
11.1
5.9
10.7
4.6
10.6
14.1
10.2
Mean
13.4
15.5
9.5
16.0
16.6
12.6
7.1
12.5
5.9
12.5
16.6
11.6
60th
14.2
16.4
9.7
15.4
17.3
12.5
7.0
12.5
5.4
12.3
17.0
12.0
75th
16.5
20.5
12.0
20.2
21.2
15.3
8.8
16.3
7.5
16.0
22.6
15.3
90th
21.5
28.1
16.6
30.3
26.9
20.7
13.7
23.1
11.9
22.9
31.6
20.4
95th
24.3
32.8
19.8
38.2
30.9
25.1
18.3
27.8
15.5
28.1
38.2
24.1
Max
38.3
63.4
61.8
151.0
49.6
86.8
29.7
59.7
38.5
83.8
86.6
46.8
F10
-------
PM2.5 VSCC w/No
Correction Factor-TEOM
Gravimetric 30 deg C
PM2.5 VSCC w/No
Correction Factor-TEOM
Gravimetric 50 deg C
PM2.5 VSCC-FDMS-
Gravimetric
PM2.5 WINS w/No
Correction Factor-TEOM
Gravimetric 30 deg C
PM2.5 WINS w/No
Correction Factor-TEOM
Gravimetric 50 deg C
1279
3212
1434
1667
60
1.7
2.6
0.3
0.0
2.9
5.9
5.8
3.7
4.8
3.6
6.9
6.9
4.9
6.2
3.7
9.3
8.9
7.9
9.0
4.7
10.2
9.6
8.8
9.8
5.0
13.9
12.5
11.9
12.8
6.5
15.9
14.2
13.6
14.4
6.6
16.0
14.2
14.1
14.6
7.0
20.0
18.0
17.4
17.9
7.7
28.0
24.1
24.5
24.6
9.5
32.6
28.8
28.6
30.1
11.4
60.2
53.3
47.8
58.1
19.5
Fll
-------
Table F6. SC Summary Statistics of Raw Data by Region (percent!les in ug
Method
North Central
Northeast
Northwest
South Central
Southeast
Southwest
N
9574
37127
666
5526
34116
14942
Min
0.0
0.0
0.0
0.0
0.4
0.0
5th
2.4
3.7
1.8
3.2
5.7
3.4
10th
3.4
4.8
2.7
4.2
6.7
4.6
25th
6.2
7.3
4.2
6.6
8.8
7.3
30th
7.0
8.0
4.6
7.3
9.4
8.1
50th
10.6
11.6
6.5
9.9
12.1
11.6
Mean
12.4
14.0
8.2
11.2
13.7
15.0
60th
12.8
13.8
7.5
11.5
13.7
13.6
75th
16.6
18.4
10.1
14.5
16.9
18.1
90th
23.3
26.6
15.4
19.6
23.0
30.1
95th
28.5
32.5
19.9
23.7
27.3
40.3
Max
62.2
83.8
51.2
53.5
86.8
151.0
F12
-------
Table F7. SC Summary Statistics of Raw Data by State (percentiles in ug m"3)
Method
Alabama
Alaska*
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
Florida
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Maine
Maryland
Michigan
Missouri
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Ohio
Oklahoma
Pennsylvania
Rhode Island
South Carolina
N
1003
116
139
1669
11443
1029
2482
2283
8455
666
3157
3804
2034
439
2093
1721
1553
2416
1370
912
443
1064
138
8149
9986
1413
4785
1094
7237
1190
3468
Min
2.2
0.0
2.9
0.0
1.5
0.8
1.5
2.0
1.2
0.0
1.8
0.0
0.3
3.1
3.7
0.0
1.5
0.0
4.4
1.7
0.0
0.6
2.2
0.0
2.1
0.0
0.8
0.0
0.2
1.6
0.4
5th
5.9
0.9
3.8
5.5
3.8
3.0
3.4
7.0
5.6
1.8
5.5
5.3
3.4
4.8
6.5
1.0
5.1
3.7
7.2
3.4
1.1
4.0
7.8
4.1
6.1
1.0
4.2
3.5
4.4
3.3
5.1
10th
7.3
1.1
5.0
6.2
5.1
3.7
4.4
8.8
6.4
2.7
7.0
6.7
4.4
5.5
7.3
1.6
6.8
4.7
8.0
4.0
1.8
5.0
9.0
5.0
7.2
1.5
5.4
5.6
5.6
4.0
6.6
25th
9.7
1.9
6.7
8.3
8.4
5.2
6.7
12.2
8.1
4.2
10.3
10.0
7.1
7.2
9.7
2.8
10.3
6.6
10.3
6.2
3.1
7.5
11.4
6.9
9.7
2.6
7.8
8.7
8.1
5.7
9.4
30th
10.3
2.1
7.1
8.9
9.3
5.6
7.4
13.1
8.6
4.6
11.2
11.0
7.9
7.9
10.4
3.2
11.4
7.2
10.9
6.6
3.5
8.3
12.1
7.4
10.4
3.0
8.6
9.5
8.8
6.2
10.2
50th
13.1
3.1
9.9
11.6
12.9
7.1
10.7
17.1
10.5
6.5
15.0
15.6
10.9
10.0
13.6
4.8
16.3
10.2
13.8
8.9
5.0
11.6
14.3
9.9
13.6
4.3
11.8
12.7
12.6
8.8
13.7
Mean
14.5
4.5
13.3
13.2
16.5
8.0
13.2
18.4
11.6
8.2
16.7
17.7
12.7
11.3
15.6
6.1
18.6
11.9
15.4
10.0
7.0
13.6
16.8
12.1
14.9
4.9
14.0
13.7
15.6
11.2
15.1
60th
14.6
3.9
12.0
13.0
15.1
8.0
12.8
19.0
11.6
7.5
17.0
18.4
12.9
11.2
15.5
5.7
19.0
11.9
15.6
10.3
6.2
13.5
16.3
11.5
15.5
4.9
13.9
14.6
14.9
10.7
15.7
75th
17.8
5.9
15.8
16.4
20.0
9.8
17.8
22.8
13.7
10.1
20.9
23.4
16.5
14.2
19.5
7.9
24.7
15.3
18.6
12.4
9.1
17.8
20.6
15.2
18.7
6.3
18.0
17.5
20.1
14.3
19.6
90th
23.8
8.4
25.3
22.2
32.9
13.3
25.6
30.2
17.5
15.4
28.3
31.6
22.9
19.5
27.0
12.5
34.0
22.0
24.9
17.1
15.1
24.8
28.1
22.3
24.6
8.8
26.0
22.9
29.7
22.2
25.6
95th
28.0
11.6
29.4
26.4
42.6
16.0
30.7
34.4
20.6
19.9
34.2
37.4
27.4
22.8
31.4
15.7
39.6
27.0
29.7
20.5
19.3
31.7
33.1
26.9
28.2
11.1
30.8
27.2
36.5
27.2
29.4
Max
60.2
34.6
110.4
53.5
151.0
43.6
53.1
60.1
86.8
51.2
62.2
62.6
49.5
36.9
56.6
39.2
66.2
57.3
56.7
61.8
42.5
61.0
47.8
60.0
52.7
25.0
63.4
51.4
83.8
50.3
50.0
F13
-------
South Dakota
Tennessee
Texas
Utah
Virginia
1161
3977
2763
1281
2555
1.0
2.6
0.1
0.0
0.4
1.9
6.2
2.6
2.4
3.7
2.3
7.3
3.5
3.4
4.9
3.3
9.4
5.4
5.0
7.3
3.8
10.1
5.9
5.4
8.0
5.5
13.2
8.2
7.5
11.0
6.2
15.0
9.1
11.2
12.4
6.4
14.9
9.5
8.8
12.5
8.2
19.1
11.7
11.6
15.9
10.8
25.6
15.9
25.1
22.3
12.5
30.1
18.9
37.7
26.4
30.0
55.3
44.8
86.6
47.3
*Alaska was not included in the analysis.
F14
-------
Table F8. SC Summary Statistics of Raw Data by Season (percentiles in ug
Method
Autumn
Spring
Summer
Winter
N
25962
25569
25746
24790
Min
0.0
0.0
0.0
0.0
5th
3.6
3.7
4.5
3.6
10th
4.8
4.9
6.1
4.9
25th
7.3
7.4
9.2
7.3
30th
8.0
8.1
10.1
7.9
50th
11.0
11.1
14.3
10.5
Mean
13.2
12.6
16.1
12.9
60th
12.8
12.8
16.6
12.1
75th
16.6
16.0
21.2
15.3
90th
24.1
21.8
28.8
23.0
95th
30.2
26.2
34.2
31.0
Max
151.0
86.8
78.5
110.4
F15
-------
F16
-------
Appendix G
Section G1. Guidance for Using SAS Programs Used to Generate FRM vs.
Semi-Continuous Correlation
Section G2. SAS Programs (30) Used to Generate FRM vs. Semi-Continuous
Correlation (presented in Order of Use)
-------
G2
-------
Guidance for Use of SAS Programs Used to Predict
FRM Values from Semi-Continuous Monitor Values
Section 1: Introduction
This document provides guidance for using the thirty (30) SAS programs developed to
predict 'equivalent' PM2.5 FRM values from semi-continuous monitors. The work was done by
Alion Science and Technology, Inc. for the U. S. Environmental Protection Agency (EPA) under
contract EP-D-05-065. Eric S. Hall, EPA/ORD/NERL, was the EPA principal investigator.
This guidance begins with a few general remarks about the SAS programs and some
caveats concerning their use. Follow the general remarks and caveats, brief descriptions for each
of the thirty (30) SAS programs are given. Each program is identified by its name in the
accompanying SAS code files. The numeric designations in the names of the files correspond to
the order in which these programs must be run to complete an analysis.
The descriptive text below is divided into two sections. The first section explains the SAS
programs that are used to prepare the AQS data sets used for an analysis. The second section
describes the SAS programs used to develop the predictive equations and the subsequent
analysis.
Some of the SAS programs have the term "QA" in their name. These SAS programs are
run just before or just after other "main" programs. For example, Program 7.9 is named
"Program7-9QA_before_Program8_....". These "QA" programs are used to verify the content of
the AQS data sets to ensure that the analysis proceeds to the subsequent SAS program(s).
A few caveats are appropriate before describing the SAS programs themselves. The
programs use the following SAS modules: BASE, STAT, GRAPH, and ETS. The assumption
when using these SAS programs is that the user has already downloaded both the semi-
continuous monitor data and FRM monitor data from EPA's Air Quality System (AQS)
database. If all FRM and semi-continuous sites in the Unites States are country are to be used
for an analysis (as was the case here), the user is cautioned that these EPA AQS data files are
very large files and can take a considerable amount of time to download onto a computer. We
suggest that the user request assistance from EPA in downloading the data files from AQS. Eric
S. Hall of EPA may be contacted in this regard.
In SAS program files, the semi-continuous data may be referenced as "non-FRM," "non-
FRM," or "SC." These terms are all equivalent. Four semi-continuous monitor data types are
available in AQS: acceptable, atmospheric, raw, and volatile. Only the first three data types were
analyzed for this project.
With one obvious exception, the SAS code in the programs described below should be
able to be run without alteration on a user's computer. The exception is that in every case the
user will need to change the path in the "LIBNAME" statements to reflect the appropriate
directory structure on the computer used for the analysis. While most of the data sets generated
G3
-------
by the SAS programs are used in subsequent SAS programs, the SAS code does retain some a
few intermediate data sets as permanent SAS data sets which are not used for further analysis.
This is done primarily as quality assurance verification and checking during the analysis process.
Section 2: AQS Data Set Preparation Programs
Programl_FRM_convert_text_SAS
This program converts the FRM data text files downloaded from AQS into SAS data sets.
Program2_FRM_convert_formats_l
This program modifies the formats of the pollutant parameter and POC variables from the FRM
data and appends these to a site identifier.
Program3_FRM_convert_formats_2
This program modifies the format of the date variable and changes the names of site identifiers.
Program4_FRM_avg_by_site
This program averages the FRM data across POCs.
Program5_NonFRM_convert_text_SAS
This program converts the semi-continuous data text files downloaded from AQS into SAS data
sets.
Program6_NonFRM_convert_formats
This program modifies the format of the date, time, and measurement uncertainty variables for
the semi-continuous data.
Program 7_NonFRM_datasets_by_type
This program divides the semi-continuous data into SAS data sets corresponding to the different
data types (i.e., acceptable, atmospheric, raw, and volatile).
Program7-9QA_before_Program8_check_sample_length
This program checks the sample duration of the semi-continuous data from AQS.
Program8_NonFRM_extract_hourly
This program generates semi-continuous (SAS) data sets consisting only of hourly data. (Some
daily data values were discovered in AQS.)
Program8-lQA_NonFRM_after_Program8_check_missing
This program checks the semi-continuous hourly data sets for missing values of (monitor)
measurement data and (monitor) detection limits.
G4
-------
Program9_NonFRM_correct_method_descrption
When it can be determined by context, this program corrects the truncated method descriptions
for the semi-continuous data. (Note: For the year 2004, AQS truncated some of the method
descriptions.)
Programl 0_NonFRM_adjust_for_BDL
This program adjusts the hourly semi-continuous values reported as below the detection limit
(BDL) to half the detection limit or 0, whichever is greater. (Note: AQS reports 'negative'
detection limits.)
Programl 0-5QA_after_Programl 0_ Univariate_on_BDL_adjusted
This program compares the "before and after" results of the BDL adjustments through PROC
UNIVARIATE.
Programl l_NonFRM_avg_daily
This program calculates daily means from the hourly semi-continuous values.
Programl2_merge_FRM_NonFRM
This program merges the FRM and semi-continuous data by date.
Programl 3_FRM_NonFRM_change_names
This program modifies some variable names in the merged data sets to better reflect a variable's
meaning.
Programl3-lQA_after_Programl3_List_DataSourceReferenceID
This program lists all sites identified by the SAS variable DataSourceReferencelD.
Programl3-2QA_after_Programl3_List_Poc_Duplicates
This program lists all sites with multiple POCs identified by the SAS variable
DataSourceReferencelD.
Programl3-3QA_after_Programl3_List_Site_IDs
This program lists all sites as identified by the SAS variable Site_ID.
Section 3: FRM/Semi-Continuous Data Analysis Programs
Programl3-9QA_before_Programl4_data_counts
This program provides counts of the number of observations available in different categories
prior to developing the predictive equations.
Programl4_variable_setup_summaries
This program 'joins' the merged data sets across years, creates some new variables required for
an analysis, generates frequency counts and summary statistics, and calculates autocorrelation.
G5
-------
Programl4-lQA_after_Programl4_Autocorrelation_check
This program examines the degree of autocorrelation present in the data. This is done to assess
whether this will be problematic in developing the predictive equations.
Programl4-2QA_after_Programl4_Frequency_check
This program simply checks the frequency of data for different explanatory variables, alone and
in combination.
Programl 5_assign_method_number
This program assigns a method number to each unique semi-continuous monitoring method.
Method numbers are required to track and maintain the distinct methods for the analysis.
Programl 6_FRM_on_SC_r egression
This program develops the predictive equations for the three data types analyzed (i.e.,
acceptable, atmospheric, and raw). Residual analysis and cross-validation are also included here.
Programl 6-1 QA_after_Programl 6_Residuals_check
This program provides further checking of residuals from the regression analysis.
Programl 6-9_before _Programl 7_locate_regional_sites
This program searches for sites which may be used to assess the performance of the predictive
models for specific (user-selected) geographic regions.
Programl 7_FRM_SC_Area_check
This program checks the performance of the predictive equations for specific (user-selected)
geographic regions.
Programl8_standard_violation_check
This program checks the performance of the predictive equations with respect to days when
either the measured or predicted PM2.5 value exceed the National Ambient Air Quality Standard
(NAAQS) values.
Programl 9_histograms_ CDFs_summaries
This program generates CDFs and side-by-side histograms to compare both the measured and
predicted concentration values. In addition, data sets of summary statistics for different
conditions are also generated.
G6
-------
Programl_FRM_convert_text_SAS
This program converts the FRM data text files downloaded from AQS into SAS data sets.
*********************** PROGRAM NUMBER 1
*****************************************.
i
*****************************************************************************
*****************
Input File : rd_501_88101_YYYY-0.txt
Output File: pm25_YYYY, where YYYY is a year 2004 - 2007.
This program converts original FRM data files (text files downloaded from EPA
website,
http://www.epa.gov/ttn/airs/airsaqs/detaildata/downloadaqsdata.htm) into SAS
data sets.
*****************************************************************************
*****************.
%macro pmyear(year);
libname aqs 'J:\EMD_II\WA_333_FRM_vs_FEM\Non-FRM Data\Grahams_FRM_DATA';
data aqs.pm25_&year;
infile "J:\EMD_II\WA_333_FRM_vs_FEM\Non-FRM
Data\Grahams_FRM_DATA\rd_501_88101_&year-0.txt" lrecl=1000 dlm=' ' dsd
firstobs=3 pad;
length r $2 action $1 state $2 county $3 site $4 time $5 null $8;
length ql q2 q3 q4 q5 q6 q7 q8 q9 qlO mdl uncert $8;
input r @;
if (r='#T) then delete;
input action state county site param poc duration unit method date time
value @;
input null freq mp ql q2 q3 q4 q5 q6 q7 q8 q9 qlO mdl uncert;
run;
%mend;
%pmyear(2007) ;
G7
-------
Program2_FRM_convert_formats_l
This program modifies the formats of the pollutant parameter and POC variables from the FRM
data and appends these to a site identifier.
*********************** PROGRAM NUMBER 2 *****************.
**************************************************************************
OriginalFRM: Prep #1
Input File : pm25_YYYY
Output File: pm25_YYYY_REVISED, where YYYY is a year 2004 - 2007.
This program is one of 2 prep tasks written to bring original FRM
data tables into appropriate formats.
***************************************************************************.
libname FRM "J:\EMD_II\WA_333_FRM_vs_FEM\Non-FRM Data\Grahams_FRM_DATA"
data FRM.PM25_2004_REVISED; set FRM.PM25_2004;
param_char = input(param, $5.);
format param_char $5.;
param_char = param;
poc_char = inputtpoc, $1.);
format poc_char $1.;
poc_char = poc;
SITE_ID_A = state
SITE ID B = state
county
site;
site | param_char | poc_char;
county
run;
Proc Sort out=FRM.PM25_2004_REVISED data=FRM.PM25_2004_REVISED;
by SITE_ID_B date;
run;
data FRM.PM25_2005_REVISED; set FRM.PM25_2005;
param_char = input(param, $5.);
format param_char $5.;
param_char = param;
poc_char = inputtpoc, $1.);
format poc_char $1.;
poc_char = poc;
SITE_ID_A = state
SITE ID B = state
county
county
s i t e ;
site | param_char | poc_char;
run;
Proc Sort out=FRM.PM25_2005_REVISED data=FRM.PM25_2005_REVISED;
by SITE_ID_B date;
run;
data FRM.PM25_2006_REVISED; set FRM.PM25_2006;
param_char = input(param, $5.);
format param_char $5.;
param_char = param;
poc_char = inputtpoc, $1.);
format poc_char $1.;
poc_char = poc;
SITE_ID_A = state | county | site;
G8
-------
SITE_ID_B = state | county | site | param_char | poc_char;
run;
Proc Sort out=FRM.PM25_2006_REVISED data=FRM.PM25_2006_REVISED;
by SITE_ID_B date;
run;
data FRM.PM25_2007_REVISED; set FRM.PM25_2007;
param_char = input(param, $5.);
format param_char $5,;
param_char = param;
poc_char = inputtpoc, $1.);
format poc_char $1.;
poc_char = poc;
SITE_ID_A = state
SITE ID B = state
county
county
s i t e ;
site
param_char
poc_char;
run;
Proc Sort out=FRM.PM25_2007_REVISED data=FRM.PM25_2007_REVISED;
by SITE_ID_B date;
run;
***************************************************************************
G9
-------
Program3_FRM_convert_formats_2
This program modifies the format of the date variable and changes the names of site identifiers.
*************************** PROGRAM NUMBER 3 ********************.
**************************************************************************
OriginalFRM: Prep #2
Input File : Pm25_YYYY_REVISED
Output File: FRM_YYYY, where YYYY is a year 2004 - 2007.
This program is one of 2 prep tasks written to bring original FRM
data tables into appropriate formats.
***************************************************************************
libname FRM "J:\EMD_II\WA_333_FRM_vs_FEM\Non-FRM Data\Grahams_FRM_DATA"
libname REVISED "J:\EMD II\WA 333 FRM vs FEM\Non-FRM Data\REVISED";
data REVISED.FRM_2004; set FRM.Pm25_2004_REVISED;
length Site_ID $17;
Site_ID = SITE_ID_A;
DataSourceReferencelD = SITE_ID_B;
date_char = substr(date, 5, 4) |"-"| substr(date, 9, 2)
"| substr(date, 11, 2);
DATE_REVISED = input(date_char, yymmddlO.);
format DATE_REVISED yymmddlO.;
drop SITE_ID_A SITE_ID_B date_char;
run;
data REVISED.FRM_2005; set FRM.Pm25_2005_REVISED;
length Site_ID $17;
Site_ID = SITE_ID_A;
DataSourceReferencelD = SITE_ID_B;
date_char = substr(date, 5, 4) |"-"| substr(date, 9, 2)
" | substr(date, 11, 2);
DATE_REVISED = input(date_char, yymmddlO.);
format DATE_REVISED yymmddlO.;
drop SITE_ID_A SITE_ID_B date_char;
run;
data REVISED.FRM_2006; set FRM.Pm25_2006_REVISED;
length Site_ID $17;
Site_ID = SITE_ID_A;
DataSourceReferencelD = SITE_ID_B;
date_char = substr(date, 5, 4) |"-"| substr(date, 9, 2)
" | substr(date, 11, 2);
DATE_REVISED = input(date_char, yymmddlO.);
format DATE_REVISED yymmddlO.;
drop SITE_ID_A SITE_ID_B date_char;
run;
G10
-------
data REVISED.FRM_2007; set FRM.Pm25_2007_REVISED;
length Site_ID $17;
Site_ID = SITE_ID_A;
DataSourceReferencelD = SITE_ID_B;
date_char = substr(date, 5, 4) |"-"| substr(date, 9, 2)
" | substr(date, 11, 2);
DATE_REVISED = input(date_char,
format DATE_REVISED yymmddlO.;
drop SITE_ID_A SITE_ID_B date_char;
run;
Gil
-------
Program4_FRM_avg_by_site
This program averages the FRM data across POCs.
************************ PROGRAM NUMBER 4 **************.
************************************************************
Input File: FRM_YYYY
Output File: FRM_YYYY_FINAL, where YYYY is a year 2004 - 2007.
This program calculates the daily mean for those cases where the number
of daily values reported for the day (i.e., # of pocs) is 2 or more.
Each site now has only one record per day once this program is run.
Note: Please review "Data Set/Document Descriptions (ToReport_1215)"
for variable descriptions.
************************************************************.
libname FRM 'J:\EMD_II\WA_333_FRM_vs_FEM\Non-FRM Data\REVISED\MERGE\SAS FRM
Data' ;
Proc Sort data=FRM.FRM_2004;
by Site_ID DATE_REVISED;
run;
Proc Sort data=FRM.FRM_2005;
by Site_ID DATE_REVISED;
run;
Proc Sort data=FRM.FRM_2006;
by Site_ID DATE_REVISED;
run;
Proc Sort data=FRM.FRM_2007;
by Site_ID DATE_REVISED;
run;
proc means data=FRM.FRM_2004 mean n noprint;
by Site_ID DATE_REVISED;
id param;
var value;
output out=FRM.FRM_2004_FINAL mean=mean n=n;
run;
proc means data=FRM.FRM_2005 mean n noprint;
by Site_ID DATE_REVISED;
id param;
var value;
output out=FRM.FRM_2005_FINAL mean=mean n=n;
run;
proc means data=FRM.FRM_2006 mean n noprint;
by Site_ID DATE_REVISED;
id param;
var value;
output out=FRM.FRM_2006_FINAL mean=mean n=n;
run;
G12
-------
proc means data=FRM.FRM_2007 mean n noprint;
by Site_ID DATE_REVISED;
id param;
var value;
output out=FRM.FRM_2007_FINAL mean=mean n=n;
run;
** Renaming variables to avoid confusion. 02/06. **,
data FRM.frm_2004_final; set FRM.frm_2004_final;
nPOC_FRM = n;
CorrectedValue_FRM = mean;
drop param n mean _TYPE_ _FREQ_;
run;
data FRM.frm_2005_final; set FRM.frm_2005_final;
nPOC_FRM = n;
CorrectedValue_FRM = mean;
drop param n mean _TYPE_ _FREQ_;
run;
data FRM.frm_2006_final; set FRM.frm_2006_final;
nPOC_FRM = n;
CorrectedValue_FRM = mean;
drop param n mean _TYPE_ _FREQ_;
run;
data FRM.frm_2007_final; set FRM.frm_2007_final;
nPOC_FRM = n;
CorrectedValue_FRM = mean;
drop param n mean _TYPE_ _FREQ_;
run;
G13
-------
Program5_NonFRM_convert_text_SAS
This program converts the semi-continuous data text files downloaded from AQS into SAS data
sets.
*************************** PROGRAM NUMBER 5
************************ .
r
*****************************************************************************
*****************
Original Non-FRM: Prep #1
This program is one of 2 prep tasks written to bring original Non-FRM data
tables into
appropriate formats.
*****************************************************************************
***************** .
i
*****************************************************************************
*****************
Prep #1 converts original Non-FRM data files (text files obtained from AQS
Data Mart)into SAS
data sets. Though the Proc Import calls below could have been used for the
2007 data, the 2007
Non-FRM data tables were delivered after the other years as csv files and
were converted using
DBMSCOPY V8.
Input File : Porter_pm25_nonfrm_YYYY_Num.txt
Output File: pm25_YYYY, where YYYY is a year 2004 - 2006 and Num is 1 or 2.
(The size of the original text files led to the split into 1 and 2 files per
year.)
*****************************************************************************
*****************.
options ls=90 ps=100;
libname WA_97_0 'J:\EMD_II\WA_97_EPHT_Hall\Non-FRM Data\OriginalFromNick'
libname WA 97 S 'J:\EMD II\WA 97 EPHT Hall\Non-FRM Data\SAS DataSet' ;
PROC IMPORT DATAFILE='J:\EMD_II\WA_97_EPHT_Hall\Non-FRM
Data\OriginalFromNick\Porter_pm25_nonfrm_2004_l.txt'
OUT=WA_9 7_S.pm2 5_2 0 04_1
DBMS=DLM
replace;
delimiter=',';
getnames=yes;
run;
PROC IMPORT DATAFILE='J:\EMD_II\WA_97_EPHT_Hall\Non-FRM
Data\OriginalFromNick\Porter_pm25_nonfrm_2004_2.txt'
OUT=WA_9 7_S.pm2 5_2 0 04_2
DBMS=DLM
replace;
G14
-------
7 delimiter= ' , ' ;
getnames=yes ;
run;
data WA_97_S.pm25_2004;
set WA_97_S.pm25_2004_l WA_97_S .pm25_2004_2 ;
run;
PROC IMPORT DATAFILE=' J:\EMD_II\WA_97_EPHT_Hall\Non-FRM
Data\OriginalFromNick\Porter_pm25_nonf rm_2005_l . txt '
OUT=WA_9 7_S . pm2 5_2 0 0 5_1
DBMS=DLM
replace;
delimiter= ' , ' ;
getnames=yes ;
run;
PROC IMPORT DATAFILE= 'J:\EMD_II\WA_97_EPHT_Hall\Non-FRM
Data\OriginalFromNick\Porter_pm25_nonf rm_2005_2 . txt '
OUT=WA_9 7_S . pm2 5_2 0 0 5_2
DBMS=DLM
replace;
delimiter= ' , ' ;
getnames=yes ;
run;
data WA_97_S.pm25_2005;
set WA_97_S.pm25_2005_l WA_97_S .pm25_2005_2 ; ;
run;
PROC IMPORT DATAFILE=T J:\EMD_II\WA_97_EPHT_Hall\Non-FRM
Data\OriginalFromNick\Porter_pm25_nonf rm_2006_l . txt '
OUT=WA_9 7_S . pm2 5_2 0 0 6_1
DBMS=DLM
replace;
delimiter= ' , ' ;
getnames=yes ;
run;
PROC IMPORT DATAFILE= 'J:\EMD_II\WA_97_EPHT_Hall\Non-FRM
Data\OriginalFromNick\Porter_pm25_nonf rm_2006_2 . txt '
OUT=WA_9 7_S . pm2 5_2 0 0 6_2
DBMS=DLM
replace;
delimiter= ' , ' ;
getnames=yes ;
run;
data WA_97_S.pm25_2006;
set WA_97_S.pm25_2006_l WA_97_S .pm25_2006_2 ; ;
run;
*****************
G15
-------
Program6_NonFRM_convert_formats
This program modifies the format of the date, time, and measurement uncertainty variables for
the semi-continuous data.
************************ PROGRAM NUMBER 6 ****************.
*****************************************************************************
*****************
Original Non-FRM: Prep #2
This program is one of 2 prep tasks written to bring original Non-FRM data
tables into
appropriate formats for the date, time, and measurement uncertainty
variables.
*****************************************************************************
*****************.
*****************************************************************************
*****************
Input File : pm25_YYYY
Output File: pm25_YYYY_revised, where YYYY is a year 2004 - 2006.
Prep #2 brings original Non-FRM data tables into appropriate formats. The
2007 Non-FRM data
tables were delivered after the other years as csv files and were converted
using
DBMSCOPY V8 and do not appear here.
*****************************************************************************
***************** .
libname WA_97_S 'J:\EMD_II\WA_97_EPHT_Hall\Non-FRM Data\SAS_DataSet';
data WA_97_S.pm25_2004_REVISED;
set WA_97_S.pm25_2004;
DATE_REVISED = input(DATE, yymmddlO.);
format DATE_REVISED yymmddlO.;
Time24_REVISED = input(Time24, TIMES.0);
format Time24_REVISED TIMES.0;
MeasurementUncertainty_REVISED = input(MeasurementUncertainty, BEST12.)
format MeasurementUncertainty_REVISED BEST12.;
drop DATE Time24 MeasurementUncertainty;
RUN;
data WA_97_S.pm25_2005_REVISED;
set WA_97_S.pm25_2005;
DATE_REVISED = input(DATE, yymmddlO.);
format DATE_REVISED yymmddlO.;
G16
-------
Time24_REVISED = input(Time24, TIME8.0);
format Time24_REVISED TIMES.0;
MeasurementUncertainty_REVISED = input(MeasurementUncertainty, BEST12.);
format MeasurementUncertainty_REVISED BEST12.;
drop DATE Time24 MeasurementUncertainty;
RUN;
data WA_97_S.pm25_2006_REVISED;
set WA_97_S.pm25_2006;
DATE_REVISED = input(DATE, yymmddlO.);
format DATE_REVISED yymmddlO.;
Time24_REVISED = input(Time24, TIME8.0);
format Time24_REVISED TIME8.0;
MeasurementUncertainty_REVISED = input(MeasurementUncertainty, BEST12.);
format MeasurementUncertainty_REVISED BEST12.;
drop DATE Time24 MeasurementUncertainty;
RUN;
*************************************************************************
***************** .
G17
-------
Program 7_NonFRM_datasets_by_type
This program divides the semi-continuous data into SAS data sets corresponding to the different
data types (/'. e., acceptable, atmospheric, raw, and volatile).
************************ PROGRAM NUMBER 7 **********************.
*****************************************************************************
****
Input File : pm25_YYYY_revised
Output File: NonFRM_YYYY_PARAMETER, where YYYY is a year 2004 - 2007 and
PARAMETER is acceptable, atmospheric, volatile or raw.
This program breaks non-FRM data tables into subtables for each parameter
type.
Note that only 2006 and 2007 had volatile channel data. Note also the
variations
from year to year of the exact parameter description recorded in AQS.
*****************************************************************************
**** .
r
libname REVISED "J:\EMD_II\WA_333_FRM_vs_FEM\Non-FRM Data\REVISED";
data REVISED.NonFRM_2004; set REVISED.pm25_2004_revised;
Site_ID = substr(DataSourceReferencelD, 1, 9) ;
run;
data REVISED.NonFRM_2005; set REVISED.pm25_2005_revised;
Site_ID = substr(DataSourceReferencelD, 1, 9) ;
run;
data REVISED.NonFRM_2006; set REVISED.pm25_2006_revised;
Site_ID = substr(DataSourceReferencelD, 1, 9) ;
run;
data REVISED.NonFRM_2007; set REVISED.pm25_2007_revised;
Site_ID = substr(DataSourceReferencelD, 1, 9) ;
run;
data REVISED.NonFRM_2004_Acceptable; set REVISED.NonFRM_2004;
if AQSParameterDescription='Acceptable PM2.5 AQI & Speciation Mass'
run;
data REVISED.NonFRM_2004_Atmospheric; set REVISED.NonFRM_2004;
if AQSParameterDescription='PM2.5 Total Atmospheric';
run;
data REVISED.NonFRM_2004_Raw; set REVISED.NonFRM_2004;
if AQSParameterDescription='PM2.5 Raw Data';
run;
data REVISED.NonFRM_2005_Acceptable; set REVISED.NonFRM_2005;
if AQSParameterDescription='Acceptable PM2.5';
run;
data REVISED.NonFRM_2005_Atmospheric; set REVISED.NonFRM_2005;
if AQSParameterDescription='PM2.5 Total Atmo';
run;
G18
-------
data REVISED.NonFRM_2005_Raw; set REVISED.NonFRM_2005;
if AQSParameterDescription='PM2.5 Raw Data' ;
run;
data REVISED.NonFRM_2006_Acceptable; set REVISED.NonFRM_2006;
if AQSParameterDescription='Acceptable PM2.5';
run;
data REVISED.NonFRM_2006_Atmospheric; set REVISED.NonFRM_2006;
if AQSParameterDescription='PM2.5 Total Atmo';
run;
data REVISED.NonFRM_2006_Raw; set REVISED.NonFRM_2006;
if AQSParameterDescription='PM2.5 Raw Data' ;
run;
data REVISED.NonFRM_2006_Volatile; set REVISED.NonFRM_2006;
if AQSParameterDescription='PM2.5 Volatile C' ;
run;
data REVISED.NonFRM_2007_Acceptable; set REVISED.NonFRM_2007;
if AQSParameterDescription='Acceptable PM2.5'
AQSParameterDescription='Acceptable PM2.5 AQI & Speciation Mass';
run;
data REVISED.NonFRM_2007_Atmospheric; set REVISED.NonFRM_2007;
if AQSParameterDescription='PM2.5 Total Atmo'
AQSParameterDescription='PM2.5 Total Atmospheric' ;
run;
data REVISED.NonFRM_2007_Raw; set REVISED.NonFRM_2007;
if AQSParameterDescription='PM2.5 Raw Data';
run;
data REVISED.NonFRM_2007_Volatile; set REVISED.NonFRM_2007;
if AQSParameterDescription='PM2.5 Volatile C'
AQSParameterDescription='PM2.5 Volatile Channel';
run;
****************************************************************************
G19
-------
Program7-9QA_before_Program8_check_sample_length
This program checks the sample duration of the semi-continuous data from AQS.
*********************** PROGRAM NUMBER 7.9 -- QA
********************** .
i
*****************************************************************************
*****************
This program reads in a Non-FRM data (nonfrm_YYYY_PARAMETER, where YYYY is a
year 2004 - 2007
and PARAMETER is acceptable, atmospheric, or raw) and counts the number of
DAILY values
(DurationDescription: 24 HOURS) which should not have been reported under
Parameter Code 88500,
88501, 88502, and 88503.
SAS Output File: ProcFreq_DurationDescription.1st
*****************************************************************************
***************** .
libname DAILY 'J:\EMD_II\WA_333_FRM_vs_FEM\Non-FRM Data\REVISED\MERGE\SAS
Non-FRM with Daily Data';
Proc Freq data=DAILY.nonfrm_2004_acceptable;
title '2004';
table AQSParameterDescription*DurationDescription;
Proc Freq data=DAILY.nonfrm_2004_atmospheric;
table AQSParameterDescription*DurationDescription;
Proc Freq data=DAILY.nonfrm_2004_raw;
table AQSParameterDescription*DurationDescription;
Proc Freq data=DAILY.nonfrm_2005_acceptable;
title '2005';
table AQSParameterDescription*DurationDescription;
Proc Freq data=DAILY.nonfrm_2005_atmospheric;
table AQSParameterDescription*DurationDescription;
Proc Freq data=DAILY.nonfrm_2005_raw;
table AQSParameterDescription*DurationDescription;
Proc Freq data=DAILY.nonfrm_2006_acceptable;
title '2006';
table AQSParameterDescription*DurationDescription;
Proc Freq data=DAILY.nonfrm_2006_atmospheric;
table AQSParameterDescription*DurationDescription;
Proc Freq data=DAILY.nonfrm_2006_raw;
table AQSParameterDescription*DurationDescription;
Proc Freq data=DAILY.nonfrm_2006_volatile;
table AQSParameterDescription*DurationDescription;
Proc Freq data=DAILY.nonfrm_2007_acceptable;
title '2007';
table AQSParameterDescription*DurationDescription;
G20
-------
Proc Freq data=DAILY.nonfrm_2007_atmospheric;
table AQSParameterDescription*DurationDescription;
Proc Freq data=DAILY.nonfrm_2007_raw;
table AQSParameterDescription*DurationDescription;
Proc Freq data=DAILY.nonfrm_2007_volatile;
table AQSParameterDescription*DurationDescription;
run;
G21
-------
Program8_NonFRM_extract_hourly
This program generates semi-continuous (SAS) data sets consisting only of hourly data. (Some
daily data values were discovered in AQS.)
*********************** PROGRAM NUMBER 8 *******************.
*****************************************************************************
**********
Non-FRM: Prep #1
This program is one of 5 prep tasks written to bring original Non-FRM
data tables into clean and compatible forms with the corresponding FRM data.
The series
of 5 prep programs begins with input files named "nonfrm_YYYY_PARAMETER" and
ends with
output files named "nonfrm_YYYY_PARAMETER_Final", where YYYY is a year 2004 -
2007 and
PARAMETER is acceptable, atmospheric, raw, or volatile (2006 & 2007 only).
*****************************************************************************
**********
,
*****************************************************************************
**********
Prep #1 excludes daily data (DurationDescription=24hr) that should NOT have
been reported to begin with as Non-FRM. The second part of the program sorts
the
hourly data sets by site, date, and time.
Prep #1 Input File: NonFRM_YYYY_PARAMETER
Prep #1 Output File: NonFRM_YYYY_PARAMETER_Hourly, where YYYY is a year 2004
- 2007
and PARAMETER is acceptable, atmospheric, raw, or volatile (2006 & 2007
only).
*****************************************************************************
**********
libname MERGE "J:\EMD_II\WA_333_FRM_vs_FEM\Non-FRM Data\REVISED\MERGE";
*******************************************.
,
data MERGE.NonFRM_2004_acceptable_Hourly;
SET MERGE.NonFRM_2004_acceptable;
if DurationDescription='1 HOUR';
run;
data MERGE.NonFRM_2004_atmospheric_Hourly;
SET MERGE.NonFRM_2004_atmospheric;
if DurationDescription='1 HOUR';
run;
data MERGE.NonFRM_2004_raw_Hourly;
SET MERGE.NonFRM_2004_raw;
if DurationDescription='1 HOUR';
run;
*******************************************.
,
data MERGE.NonFRM_2005_acceptable_Hourly;
SET MERGE.NonFRM_2005_acceptable;
G22
-------
if DurationDescription='1 HOUR';
run;
data MERGE.NonFRM_2005_atmospheric_Hourly;
SET MERGE.NonFRM_2005_atmospheric;
if DurationDescription='1 HOUR';
run;
data MERGE.NonFRM_2 0 05_raw_Hourly;
SET MERGE.NonFRM_2005_raw;
if DurationDescription='1 HOUR';
run;
*******************************************.
data MERGE.NonFRM_2006_acceptable_Hourly;
SET MERGE.NonFRM_2006_acceptable;
if DurationDescription='1 HOUR';
run;
data MERGE.NonFRM_2006_atmospheric_Hourly;
SET MERGE.NonFRM_2006_atmospheric;
if DurationDescription='1 HOUR';
run;
data MERGE.NonFRM_2 0 06_raw_Hourly;
SET MERGE.NonFRM_2006_raw;
if DurationDescription='1 HOUR';
run;
data MERGE.NonFRM_2006_volatile_Hourly;
SET MERGE.NonFRM_2006_volatile;
if DurationDescription='1 HOUR';
run;
*******************************************.
i
data MERGE.NonFRM_2007_acceptable_Hourly;
SET MERGE.NonFRM_2007_acceptable;
if DurationDescription='1 HOUR';
run;
data MERGE.NonFRM_2007_atmospheric_Hourly;
SET MERGE.NonFRM_2007_atmospheric;
if DurationDescription='1 HOUR';
run;
data MERGE.NonFRM_2 0 07_raw_Hourly;
SET MERGE.NonFRM_2007_raw;
if DurationDescription='1 HOUR';
run;
data MERGE.NonFRM_2007_volatile_Hourly;
SET MERGE.NonFRM_2007_volatile;
if DurationDescription='1 HOUR';
run;
*************************************************************************
i
Proc Sort data=MERGE.NonFRM_2004_acceptable_Hourly;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
Proc Sort data=MERGE.NonFRM_2004_atmospheric_Hourly;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
Proc Sort data=MERGE.NonFRM_2004_raw_Hourly;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
G23
-------
Proc Sort data=MERGE.NonFRM_2005_acceptable_Hourly;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
Proc Sort data=MERGE.NonFRM_2005_atmospheric_Hourly;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
Proc Sort data=MERGE.NonFRM_2005_raw_Hourly;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
Proc Sort data=MERGE.NonFRM_2006_acceptable_Hourly;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
Proc Sort data=MERGE.NonFRM_2006_atmospheric_Hourly;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
Proc Sort data=MERGE.NonFRM_2006_raw_Hourly;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
Proc Sort data=MERGE.NonFRM_2006_volatile_Hourly;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
Proc Sort data=MERGE.NonFRM_2007_acceptable_Hourly;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
Proc Sort data=MERGE.NonFRM_2007_atmospheric_Hourly;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
Proc Sort data=MERGE.NonFRM_2007_raw_Hourly;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
Proc Sort data=MERGE.NonFRM_2007_volatile_Hourly;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
G24
-------
Program8-lQA_NonFRM_after_Program8_check_missing
This program checks the semi-continuous hourly data sets for missing values of (monitor)
measurement data and (monitor) detection limits.
**************************** PROGRAM NUMBER 8.1 -- QA
************* .
i
*****************************************************************************
**********
Non-FRM: Prep #2
This program is one of 5 prep tasks written to bring original Non-FRM
data tables into clean and compatible forms with the corresponding FRM data.
The series
of 5 prep programs begins with input files named "nonfrm_YYYY_PARAMETER" and
ends with
output files named "nonfrm_YYYY_PARAMETER_Final", where YYYY is a year 2004 -
2007 and
PARAMETER is acceptable, atmospheric, raw, or volatile (2006 & 2007 only).
*****************************************************************************
**********
*****************************************************************************
**********
Prep #2 sorts the data to ascertain the extent of missing values for
detection limits and
measured values on the hourly data.
Prep #2 Input File: NonFRM_YYYY_PARAMETER_Hourly
Prep #2 Output File: NonFRM_YYYY_PARAMETER_Hourly_0 and 02, where YYYY is a
year 2004 - 2007
and PARAMETER is acceptable, atmospheric, raw, or volatile (2006 & 2007
only).
*****************************************************************************
**********
libname MERGE "J:\EMD_II\WA_333_FRM_vs_FEM\Non-FRM Data\REVISED\MERGE";
********************************************************
**********
I
proc sort data = MERGE.NonFRM_2004_acceptable_Hourly out =
NonFRM_2004_acceptable_Hourly_0;
by MinimumDetectableLimit;
run;
proc sort data = MERGE.NonFRM_2004_acceptable_Hourly out =
NonFRM_2004_acceptable_Hourly_02;
by MeasurementValue;
run;
proc sort data = MERGE.NonFRM_2004_atmospheric_Hourly out =
NonFRM_2004_atmospheric_Hourly_0;
by MinimumDetectableLimit;
run;
G25
-------
proc sort data = MERGE.NonFRM_2004_atmospheric_Hourly out =
NonFRM_2004_atmospheric_HR_02;
by MeasurementValue;
run;
proc sort data = MERGE.NonFRM_2004_raw_Hourly out = NonFRM_2004_raw_Hourly_0;
by MinimumDetectableLimit;
run;
proc sort data = MERGE.NonFRM_2004_raw_Hourly out =
NonFRM_2004_raw_Hourly_02;
by MeasurementValue;
run;
proc sort data = MERGE.NonFRM_2005_acceptable_Hourly out =
NonFRM_2005_acceptable_Hourly_0;
by MinimumDetectableLimit;
run;
proc sort data = MERGE.NonFRM_2005_acceptable_Hourly out =
NonFRM_2005_acceptable_Hourly_02;
by MeasurementValue;
run;
proc sort data = MERGE.NonFRM_2005_atmospheric_Hourly out =
NonFRM_2005_atmospheric_Hourly_0;
by MinimumDetectableLimit;
run;
proc sort data = MERGE.NonFRM_2005_atmospheric_Hourly out =
NonFRM_2005_atmospheric_HR_02;
by MeasurementValue;
run;
proc sort data = MERGE.NonFRM_2005_raw_Hourly out = NonFRM_2005_raw_Hourly_0;
by MinimumDetectableLimit;
run;
proc sort data = MERGE.NonFRM_2005_raw_Hourly out =
NonFRM_2005_raw_Hourly_02;
by MeasurementValue;
run;
proc sort data = MERGE.NonFRM_2006_acceptable_Hourly out =
NonFRM_2006_acceptable_Hourly_0;
by MinimumDetectableLimit;
run;
proc sort data = MERGE.NonFRM_2006_acceptable_Hourly out =
NonFRM_2006_acceptable_Hourly_02;
by MeasurementValue;
run;
proc sort data = MERGE.NonFRM_2006_atmospheric_Hourly out =
NonFRM_2006_atmospheric_Hourly_0;
by MinimumDetectableLimit;
run;
proc sort data = MERGE.NonFRM_2006_atmospheric_Hourly out =
NonFRM_2006_atmospheric_HR_02;
by MeasurementValue;
run;
proc sort data = MERGE.NonFRM_2006_raw_Hourly out = NonFRM_2006_raw_Hourly_0;
G26
-------
by MinimumDetectableLimit;
run;
proc sort data = MERGE.NonFRM_2006_raw_Hourly out =
NonFRM_2006_raw_Hourly_02;
by MeasurementValue;
run;
proc sort data = MERGE.NonFRM_2006_volatile_Hourly out =
NonFRM_2006_volatile_Hourly_0;
by MinimumDetectableLimit;
run;
proc sort data = MERGE.NonFRM_2006_volatile_Hourly out =
NonFRM_2006_volatile_Hourly_02;
by MeasurementValue;
run;
proc sort data = MERGE.NonFRM_2007_acceptable_Hourly out =
NonFRM_2007_acceptable_Hourly_0;
by MinimumDetectableLimit;
run;
proc sort data = MERGE.NonFRM_2007_acceptable_Hourly out =
NonFRM_2007_acceptable_Hourly_02;
by MeasurementValue;
run;
proc sort data = MERGE.NonFRM_2007_atmospheric_Hourly out =
NonFRM_2007_atmospheric_Hourly_0;
by MinimumDetectableLimit;
run;
proc sort data = MERGE.NonFRM_2007_atmospheric_Hourly out =
NonFRM_2007_atmospheric_HR_02;
by MeasurementValue;
run;
proc sort data = MERGE.NonFRM_2007_raw_Hourly out = NonFRM_2007_raw_Hourly_0;
by MinimumDetectableLimit;
run;
proc sort data = MERGE.NonFRM_2007_raw_Hourly out =
NonFRM_2007_raw_Hourly_02;
by MeasurementValue;
run;
proc sort data = MERGE.NonFRM_2007_volatile_Hourly out =
NonFRM_2 0 07_volat ile_Hourly_0;
by MinimumDetectableLimit;
run;
proc sort data = MERGE.NonFRM_2007_volatile_Hourly out =
NonFRM_2007_volatile_Hourly_02;
by MeasurementValue;
run;
*************************************************************************
**********
G27
-------
Program9_NonFRM_correct_method_description
When it can be determined by context, this program corrects the truncated method descriptions
for the semi-continuous data. (Note: For the year 2004, AQS truncated some of the method
descriptions.)
************************ PROGRAM NUMBER 9
*********************************.
*****************************************************************************
**********
Non-FRM: Prep #3
This program is one of 5 prep tasks written to bring original Non-FRM
data tables into clean and compatible forms with the corresponding FRM data.
The series
of 5 prep programs begins with input files named "nonfrm_YYYY_PARAMETER" and
ends with
output files named "nonfrm_YYYY_PARAMETER_Final", where YYYY is a year 2004 -
2007 and
PARAMETER is acceptable, atmospheric, raw, or volatile (2006 & 2007 only).
*****************************************************************************
**********
*****************************************************************************
**********
Prep #3 corrects Method Description labeling errors found in the
2004_acceptable and
2004_raw data tables. The following modifications are made on Method
Description
after this run:
Before (Incorrect) After (Correct)
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri -> PM2.5 SCC w/No Correction
Factor-TEOM Gravimetric 30 deg C
or
PM2.5 SCC w/No Correction Factor-TEOM
Gravimetric 50 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 3 -> PM2.5 SCC w/Correction
Factor-TEOM Gravimetric 30 deg C
PM2.5 SCC w/Correction Factor-TEOM Gravimetric 5 -> PM2.5 SCC w/Correction
Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 3 -> PM2.5 SSI w/Correction
Factor-TEOM Gravimetric 30 deg C
PM2.5 SSI w/Correction Factor-TEOM Gravimetric 5 -> PM2.5 SSI w/Correction
Factor-TEOM Gravimetric 50 deg C
PM2.5 SSI w/No Correction Factor-TEOM Gravimetri -> PM2.5 SSI w/No Correction
Factor-TEOM Gravimetric 50 deg C
PM2.5 WINS w/No Correction Factor-TEOM Gravimetr -> PM2.5 WINS w/No
Correction Factor-TEOM Gravimetric 30 deg C
G28
-------
PM2.5 VSCC w/No Correction Factor-TEOM Gravimetr -> PM2.5 VSCC w/No
Correction Factor-TEOM Gravimetric 30 deg C
PM2.5 VSCC w/Correction Factor-TEOM Gravimetric -> complete method name
could not be reliably determined
and not included in code
below
Note that "SCC w/No Correction Factor-TEOM Gravimetri" has been replaced with
either
"SCC w/No Correction Factor-TEOM Gravimetric 30 deg C" or "SCC w/No
Correction
Factor-TEOM Gravimetric 50 deg C" depending on the site location. Proc Freq
was run on
the 2004 data to establish which sites contained truncated method names. Proc
Freqs were
run on 2005-2007 data tables for those locations to learn whether the site
uses 30 deg
C or 50 deg C. An appropriate substitution could not always be determined.
(2005-2007
data tables indicated that the site uses both 30 deg C and 50 deg C methods.)
In such cases, the Method Description was left unaltered.
All method description corrections were done in consultation with Eric Hall
of EPA.
Prep #3 Input File: MERGE.nonfrm_YYYY_PARAMETER_hourly
Prep #3 Output File: MERGE.nonfrm_2004_PARAMETER_hourly_R, where
PARAMETER is acceptable or raw.
*************************************************************************
**********
libname MERGE "J:\EMD II\WA 333 FRM vs FEM\Non-FRM Data\REVISED\MERGE";
** The following code identifies sites with incorrect Method Description
labeling,
'PM2.5 SCC w/No Correction Factor-TEOM Gravimetri', from 2004_Acceptable data
set. **;
data nonfrm_2004_acceptable_hourly_G; set
MERGE.nonfrm_2004_acceptable_hourly;
if MethodDescription = 'PM2.5 SCC w/No Correction Factor-TEOM
Gravimetri';
run;
proc freq data = nonfrm_2004_acceptable_hourly_G;
title '2004_acceptable_hourly: Locations w/ Gravimetri';
tables DataSourceReferencelD;
run;
data nonfrm_2004_acceptable_hourly_R; set
MERGE.nonfrm_2004_acceptable_hourly;
if DataSourceReferencelD in
G29
-------
('010730023885023 ' ,
'010731005885023 ' ,
'010731009885023' ,
'010731010885023 ' ,
'010732003885023' ,
'010732006885023 ' ,
'010735002885023 ' ,
'010735003885023' ,
'110010043885023 ' ,
'130210012885023' ,
'130511002885023 ' ,
'130590002885023 ' ,
'130770002885023' ,
'130890002885023 ' ,
'131350002885023' ,
'131510002885023 ' ,
'132150008885023 ' ,
'132230003885023' ,
'132450091885023 ' ,
'160090011885023' ,
'180030004885023 ' ,
'180890022885023 ' ,
'180970078885023 ' ,
'181630012885023 ' ,
'270177416885023 ' ,
'350130016885023 ' ,
'350130017885023 ' ,
'350130021885023' ,
'350130022885023 ' ,
'350151005885023' ,
'350250008885023 ' ,
'350490020885023 ' ,
'350550005885023') ;
keep DataSourceReferencelD MethodDescription DATE_REVISED Time24_REVISED;
run;
** The following code creates 2005-2007 sub-tables containing only sites
found to be problematic for 2004. **;
data nonfrm_2005_acceptable_hourly_R; set
MERGE.nonfrm_2005_acceptable_hourly;
if DataSourceReferencelD in
('010730023885023 ' ,
'010731005885023' ,
'010731009885023 ' ,
'010731010885023' ,
'010732003885023 ' ,
'010732006885023' ,
'010735002885023 ' ,
'010735003885023' ,
'110010043885023' ,
'130210012885023 ' ,
'130511002885023' ,
'130590002885023 ' ,
G30
-------
'130770002885023',
'130890002885023',
'131350002885023',
'131510002885023',
'132150008885023',
'132230003885023',
'132450091885023',
'160090011885023',
'180030004885023',
'180890022885023',
'180970078885023',
'181630012885023',
'270177416885023',
'350130016885023',
'350130017885023',
'350130021885023',
'350130022885023',
'350151005885023',
'350250008885023',
'350490020885023',
'350550005885023');
keep DataSourceReferencelD MethodDescription DATE_REVISED Time24_REVISED;
run;
data nonfrm_2006_acceptable_hourly_R; set
MERGE.nonfrm_2006_acceptable_hourly;
if DataSourceReferencelD in
('010730023885023 ' ,
'010731005885023' ,
'010731009885023 ' ,
'010731010885023' ,
'010732003885023 ' ,
'010732006885023 ' ,
'010735002885023' ,
'010735003885023 ' ,
'110010043885023' ,
'130210012885023 ' ,
'130511002885023 ' ,
'130590002885023' ,
'130770002885023 ' ,
'130890002885023' ,
'131350002885023 ' ,
'131510002885023 ' ,
'132150008885023' ,
'132230003885023 ' ,
'132450091885023 ' ,
'160090011885023 ' ,
'180030004885023' ,
'180890022885023 ' ,
'180970078885023 ' ,
'181630012885023 ' ,
'270177416885023 ' ,
'350130016885023' ,
'350130017885023 ' ,
'350130021885023' ,
'350130022885023 ' ,
G31
-------
'350151005885023',
'350250008885023',
'350490020885023',
'350550005885023');
keep DataSourceReferencelD MethodDescription DATE_REVISED Time24_REVISED;
run;
data nonfrm_2007_acceptable_hourly_R; set
MERGE.nonfrm_2007_acceptable_hourly;
if DataSourceReferencelD in
('010730023885023' ,
'010731005885023 ' ,
'010731009885023 ' ,
'010731010885023' ,
'010732003885023 ' ,
'010732006885023' ,
'010735002885023 ' ,
'010735003885023 ' ,
'110010043885023' ,
'130210012885023 ' ,
'130511002885023' ,
'130590002885023 ' ,
'130770002885023 ' ,
'130890002885023' ,
'131350002885023 ' ,
'131510002885023' ,
'132150008885023 ' ,
'132230003885023 ' ,
'132450091885023 ' ,
'160090011885023 ' ,
'180030004885023' ,
'180890022885023 ' ,
'180970078885023 ' ,
'181630012885023' ,
'270177416885023 ' ,
'350130016885023' ,
'350130017885023 ' ,
'350130021885023 ' ,
'350130022885023' ,
'350151005885023 ' ,
'350250008885023' ,
'350490020885023 ' ,
'350550005885023 ' ) ;
keep DataSourceReferencelD MethodDescription DATE_REVISED Time24_REVISED;
run;
** The following code creates Site_Method Description combinations from
the sub-tables created by the above code. These combinations are then
examined site by site to determine how to correct the truncated method
description (if possible)**;
proc freq data = nonfrm_2004_acceptable_hourly_R;
title '2004_acceptable' ;
tables DataSourceReferenceID*MethodDescription;
run;
G32
-------
proc freq data = nonfrm_2005_acceptable_hourly_R;
title '2005_acceptable' ;
tables DataSourceReferenceID*MethodDescription;
run;
proc freq data = nonfrm_2006_acceptable_hourly_R;
title '2006_acceptable' ;
tables DataSourceRef erenceID*Met hodDe script ion;,
run;
proc freq data = nonfrm_2007_acceptable_hourly_R;
title '2007_acceptable' ;
tables DataSourceReferenceID*MethodDescription;
run;
** The following code replaces "PM2.5 SCC w/No Correction Factor-TEOM
Gravimetri"
with "PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C" or "PM2.5
SCC
w/No Correction Factor-TEOM Gravimetric 50 deg C" based on the Site_Method
Description combinations recognized from the previous Proc Freq results. **;
data MERGE.nonfrm_2004_acceptable_hourly_R; set
MERGE.nonfrm_2004_acceptable_hourly;
if MethodDescription = 'PM2.5 SCC w/No Correction Factor-TEOM
Gravimetri' and
DataSourceReferencelD in (
'130590002885023 ' ,
'130770002885023' ,
'130890002885023 ' ,
'131350002885023' ,
'131510002885023 ' ,
'132150008885023 ' ,
'132230003885023' ,
'132450091885023 ' ,
'160090011885023')
then MethodDescription = 'PM2.5 SCC w/No Correction Factor-TEOM
Gravimetric 30 deg C';
if MethodDescription = 'PM2.5 SCC w/No Correction Factor-TEOM
Gravimetri' and
DataSourceReferencelD in (
'010730023885023 ' ,
'010731005885023 ' ,
'010731009885023' ,
'010731010885023 ' ,
'010732003885023' ,
'010732006885023 ' ,
'010735002885023' ,
'010735003885023 ' ,
'110010043885023' ,
'130210012885023 ' ,
'130511002885023' ,
'180030004885023' ,
'180890022885023 ' ,
'180970078885023 ' ,
'181630012885023 ' ,
G33
-------
'270177416885023',
'350130016885023',
'350130017885023',
'350130021885023',
'350130022885023',
'350151005885023',
'350250008885023',
'350490020885023',
'350550005885023')
then MethodDescription = 'PM2.5 SCC w/No Correction Factor-TEOM
Gravimetric 50 deg C';
run;
** The following code corrects the rest of the labeling errors. **;
data MERGE.nonfrm_2004_acceptable_hourly_R; set
MERGE.nonfrm_2004_acceptable_hourly_R;
if MethodDescription = 'PM2.5 SCC w/Correction Factor-TEOM Gravimetric
3'
then MethodDescription = 'PM2.5 SCC w/Correction Factor-TEOM
Gravimetric 30 deg C';
if MethodDescription = 'PM2.5 SCC w/Correction Factor-TEOM Gravimetric
5'
then MethodDescription = 'PM2.5 SCC w/Correction Factor-TEOM
Gravimetric 50 deg C' ;
if MethodDescription = 'PM2.5 SSI w/Correction Factor-TEOM Gravimetric
3'
then MethodDescription = 'PM2.5 SSI w/Correction Factor-TEOM
Gravimetric 30 deg C' ;
if MethodDescription = 'PM2.5 SSI w/Correction Factor-TEOM Gravimetric
5'
then MethodDescription = 'PM2.5 SSI w/Correction Factor-TEOM
Gravimetric 50 deg C' ;
if MethodDescription = 'PM2.5 SSI w/No Correction Factor-TEOM
Gravimetri'
then MethodDescription = 'PM2.5 SSI w/No Correction Factor-TEOM
Gravimetric 50 deg C' ;
if MethodDescription = 'PM2.5 VSCC w/No Correction Factor-TEOM
Gravimetr'
then MethodDescription = 'PM2.5 VSCC w/No Correction Factor-TEOM
Gravimetric 30 deg C';
run;
proc sort data = MERGE.nonfrm_2004_acceptable_hourly_R
out = MERGE.nonfrm_2004_acceptable_hourly_R;
by MethodDescription;
run;
*************************************************************************
************.
i
********* The above approach is now repeated for the 2004 raw data type.
*************.
i
** The following code identifies sites with incorrect Method Description
labeling,
G34
-------
PM2.5 SCC w/No Correction Factor-TEOM Gravimetri', from 2004 raw data set.
data nonfrm_2004_raw_hourly_G; set MERGE.nonfrm_2004_raw_hourly;
if MethodDescription = 'PM2.5 SCC w/No Correction Factor-TEOM
Gravimetri';
run;
proc freq data = nonfrm_2004_raw_hourly_G;
title '2004_raw_hourly: Locations w/ Gravimetri';
tables DataSourceReferencelD;
run;
data nonfrm_2004_raw_hourly_R; set MERGE.nonfrm_2004_raw_hourly;
if DataSourceReferencelD in
('080010006885013 ' ,
'080310013885013' ,
'080350004885013 ' ,
'081230006885013 ' ,
'160050015885013' ,
'160190013885013 ' ,
'160270007885013' ,
'160290003885013 ' ,
'160450001885013 ' ,
'160490003885013' ,
'160590004885013 ' ,
'160690013885013' ,
'160690014885013 ' ,
'180970078885013 ' ,
'211110027885013 ' ,
'211110043885013 ' ,
'211110048885013' ,
'211110051885013 ' ,
'230010011885013 ' ,
'230050027885013' ,
'230090103885013 ' ,
'230190002885013' ,
'261530001885013 ' ,
'330074002885013 ' ,
'330090008885013' ,
'330110020885013 ' ,
'330115001885013' ,
'370210034885013 ' ,
'371190041885013 ' ,
'371190042885013' ,
'380070002885013 ' ,
'380130002885013' ,
'380130004885013 ' ,
'380171004885013' ,
'380250003885013 ' ,
'380530002885013' ,
'380570004885013 ' ,
'380650002885013' ,
'390610040885013' ,
'390933002885013 ' ,
'390950024885013' ,
'390990014885013 ' ,
G35
-------
'401159005885013
'420010001885013
'420030008885013
'420030064885013
'420050001885013
'420950025885013
'450190046885014
'450450008885014
'461030020885013
'470090101885013
'480290053885013
'480290055885013
'480290059885013
'480610006885013
'481130069885013
'481133003885013
'481210034885013
'481350003885013
'481351014885013
'481390015885013
'481390017885013
'481410037885013
'481410053885013
'481670014885013
'482010024885013
'482010026885013
'482011034885013
'482011035885013
'482011039885013
'482011042885013
'482011050885013
'482030002885013
'482150043885013
'482450020885013
'482450021885013
'482450022885013
'482570005885013
'482730314885013
'483030001885013
'483390078885013
'483550025885013
'483611100885013
'483750005885013
'484391006885013
'484393008885013
'484393009885013
'484393011885013
'484530014885013
'484530020885013
'484790313885013
'510591005885013
'510870014885013
'511130003885013
'516500004885013
'517700015885013
G36
-------
'720170003885013');
keep DataSourceReferencelD MethodDescription DATE_REVISED Time24_REVISED;
run;
** The following code creates 2005-2007 sub-tables containing only
sites found to be problematic for 2004. **;
data nonfrm_2005_raw_hourly_R; set MERGE.nonfrm_2005_raw_hourly;
if DataSourceReferencelD in
('080010006885013' ,
'080310013885013 ' ,
'080350004885013' ,
'081230006885013 ' ,
'160050015885013 ' ,
'160190013885013' ,
'160270007885013 ' ,
'160290003885013' ,
'160450001885013 ' ,
'160490003885013 ' ,
'160590004885013' ,
'160690013885013 ' ,
'160690014885013' ,
'180970078885013 ' ,
'211110027885013 ' ,
'211110043885013' ,
'211110048885013 ' ,
'211110051885013' ,
'230010011885013 ' ,
'230050027885013 ' ,
'230090103885013' ,
'230190002885013 ' ,
'261530001885013' ,
'330074002885013 ' ,
'330090008885013 ' ,
'330110020885013' ,
'330115001885013 ' ,
'370210034885013' ,
'371190041885013 ' ,
'371190042885013 ' ,
'380070002885013' ,
'380130002885013 ' ,
'380130004885013' ,
'380171004885013 ' ,
'380250003885013' ,
'380530002885013 ' ,
'380570004885013' ,
'380650002885013 ' ,
'390610040885013' ,
'390933002885013' ,
'390950024885013 ' ,
'390990014885013' ,
'401159005885013 ' ,
G37
-------
'420010001885013
'420030008885013
'420030064885013
'420050001885013
'420950025885013
'450190046885014
'450450008885014
'461030020885013
'470090101885013
'480290053885013
'480290055885013
'480290059885013
'480610006885013
'481130069885013
'481133003885013
'481210034885013
'481350003885013
'481351014885013
'481390015885013
'481390017885013
'481410037885013
'481410053885013
'481670014885013
'482010024885013
'482010026885013
'482011034885013
'482011035885013
'482011039885013
'482011042885013
'482011050885013
'482030002885013
'482150043885013
'482450020885013
'482450021885013
'482450022885013
'482570005885013
'482730314885013
'483030001885013
'483390078885013
'483550025885013
'483611100885013
'483750005885013
'484391006885013
'484393008885013
'484393009885013
'484393011885013
'484530014885013
'484530020885013
'484790313885013
'510591005885013
'510870014885013
'511130003885013
'516500004885013
'517700015885013
'720170003885013
G38
-------
keep DataSourceReferencelD MethodDescription DATE_REVISED Time24_REVISED;
run;
data nonfrm_2006_raw_hourly_R; set MERGE.nonfrm_2006_raw_hourly;
if DataSourceReferencelD in
('080010006885013 ' ,
'080310013885013 ' ,
'080350004885013' ,
'081230006885013 ' ,
'160050015885013' ,
'160190013885013 ' ,
'160270007885013 ' ,
'160290003885013' ,
'160450001885013 ' ,
'160490003885013' ,
'160590004885013 ' ,
'160690013885013 ' ,
'160690014885013' ,
'180970078885013 ' ,
'211110027885013 ' ,
'211110043885013 ' ,
'211110048885013 ' ,
'211110051885013' ,
'230010011885013 ' ,
'230050027885013' ,
'230090103885013 ' ,
'230190002885013 ' ,
'261530001885013' ,
'330074002885013 ' ,
'330090008885013' ,
'330110020885013 ' ,
'330115001885013 ' ,
'370210034885013' ,
'371190041885013 ' ,
'371190042885013' ,
'380070002885013 ' ,
'380130002885013 ' ,
'380130004885013' ,
'380171004885013 ' ,
'380250003885013' ,
'380530002885013 ' ,
'380570004885013 ' ,
'380650002885013' ,
'390610040885013 ' ,
'390933002885013' ,
'390950024885013 ' ,
'390990014885013' ,
'401159005885013 ' ,
'420010001885013' ,
'420030008885013 ' ,
'420030064885013' ,
'420050001885013' ,
'420950025885013 ' ,
'450190046885014 ' ,
'450450008885014 ' ,
G39
-------
'461030020885013',
'470090101885013',
'480290053885013',
'480290055885013',
'480290059885013',
'480610006885013',
'481130069885013',
'481133003885013',
'481210034885013',
'481350003885013',
'481351014885013',
'481390015885013',
'481390017885013',
'481410037885013',
'481410053885013',
'481670014885013',
'482010024885013',
'482010026885013',
'482011034885013',
'482011035885013',
'482011039885013',
'482011042885013',
'482011050885013',
'482030002885013',
'482150043885013',
'482450020885013',
'482450021885013',
'482450022885013',
'482570005885013',
'482730314885013',
'483030001885013',
'483390078885013',
'483550025885013',
'483611100885013',
'483750005885013',
'484391006885013',
'484393008885013',
'484393009885013',
'484393011885013',
'484530014885013',
'484530020885013',
'484790313885013',
'510591005885013',
'510870014885013',
'511130003885013',
'516500004885013',
'517700015885013 ' ,
'720170003885013 ' ) ;
keep DataSourceReferencelD MethodDescription DATE_REVISED Time24_REVISED;
run;
data nonfrm_2007_raw_hourly_R; set MERGE.nonfrm_2007_raw_hourly;
if DataSourceReferencelD in
('080010006885013 ' ,
'080310013885013' ,
'080350004885013 ' ,
G40
-------
'081230006885013
'160050015885013
'160190013885013
'160270007885013
'160290003885013
'160450001885013
'160490003885013
'160590004885013
'160690013885013
'160690014885013
'180970078885013
'211110027885013
'211110043885013
'211110048885013
'211110051885013
'230010011885013
'230050027885013
'230090103885013
'230190002885013
'261530001885013
'330074002885013
'330090008885013
'330110020885013
'330115001885013
'370210034885013
'371190041885013
'371190042885013
'380070002885013
'380130002885013
'380130004885013
'380171004885013
'380250003885013
'380530002885013
'380570004885013
'380650002885013
'390610040885013
'390933002885013
'390950024885013
'390990014885013
'401159005885013
'420010001885013
'420030008885013
'420030064885013
'420050001885013
'420950025885013
'450190046885014
'450450008885014
'461030020885013
'470090101885013
'480290053885013
'480290055885013
'480290059885013
'480610006885013
'481130069885013
'481133003885013
G41
-------
'481210034885013',
'481350003885013',
'481351014885013',
'481390015885013',
'481390017885013',
'481410037885013',
'481410053885013',
'481670014885013',
'482010024885013',
'482010026885013',
'482011034885013',
'482011035885013',
'482011039885013',
'482011042885013',
'482011050885013',
'482030002885013',
'482150043885013',
'482450020885013',
'482450021885013',
'482450022885013',
'482570005885013',
'482730314885013',
'483030001885013',
'483390078885013',
'483550025885013',
'483611100885013',
'483750005885013',
'484391006885013',
'484393008885013',
'484393009885013',
'484393011885013',
'484530014885013',
'484530020885013',
'484790313885013',
'510591005885013',
'510870014885013',
'511130003885013',
'516500004885013',
'517700015885013 ' ,
'720170003885013') ;
keep DataSourceReferencelD MethodDescription DATE_REVISED Time24_REVISED;
run;
** The following code creates Site_Method Description combinations from
the sub-tables created by the above code. These combinations are then
examined site by site to determine how to correct the truncated method
description (if possible)**;
proc freq data = nonfrm_2004_raw_hourly_R;
title '2004_raw';
tables DataSourceReferenceID*MethodDescription;
run;
proc freq data = nonfrm_2005_raw_hourly_R;
title '2005 raw';
G42
-------
tables DataSourceRef erenceID*Met hodDe script ion;,
run;
proc freq data = nonfrm_2006_raw_hourly_R;
title T2006_rawT;
tables DataSourceReferenceID*MethodDescription;
run;
proc freq data = nonfrm_2007_raw_hourly_R;
title '2007_raw';
tables DataSourceReferenceID*MethodDescription;
run;
data nonfrm_raw_hourly_R; set nonfrm_2004_raw_hourly_R
nonfrm_2005_raw_hourly_R
nonfrm_2006_raw_hourly_R nonfrm_2007_raw_hourly_R;
run;
proc sort data = nonfrm_raw_hourly_R;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
proc freq data = nonfrm_raw_hourly_R;
title 'raw';
tables DataSourceReferenceID*MethodDescription;
run;
** The following code replaces "PM2.5 SCC w/No Correction Factor-TEOM
Gravimetri"
with "PM2.5 SCC w/No Correction Factor-TEOM Gravimetric 30 deg C" or "PM2.5
SCC
w/No Correction Factor-TEOM Gravimetric 50 deg C" based on the Site_Method
Description combinations recognized from the previous Proc Freq results. **;
data MERGE.nonfrm_2004_raw_hourly_R; set MERGE.nonfrm_2004_raw_hourly;
if MethodDescription = 'PM2.5 SCC w/No Correction Factor-TEOM
Gravimetri' and
DataSourceReferencelD in
('330090008885013','330110020885013','420010001885013',
'420050001885013','420950025885013','450190046885014','470090101885013')
then MethodDescription = 'PM2.5 SCC w/No Correction Factor-TEOM
Gravimetric 30 deg C';
if MethodDescription = 'PM2.5 SCC w/No Correction Factor-TEOM
Gravimetri' and
DataSourceReferencelD in (
'080350004885013' ,
'160270007885013 ' ,
'160490003885013' ,
'160690013885013 ' ,
'160690014885013' ,
'180970078885013 ' ,
'211110027885013 ' ,
'211110043885013 ' ,
'211110048885013' ,
'211110051885013' ,
'230010011885013 ' ,
'230050027885013' ,
'230090103885013 ' ,
G43
-------
'230190002885013
'261530001885013
'330074002885013
'330115001885013
'370210034885013
'371190041885013
'371190042885013
'380130002885013
'380250003885013
'390610040885013
'390933002885013
'390950024885013
'390990014885013
'401159005885013
'420030008885013
'420030064885013
'461030020885013
'480290053885013
'480290055885013
'480290059885013
'480610006885013
'481130069885013
'481133003885013
'481210034885013
'481350003885013
'481351014885013
'481390015885013
'481390017885013
'481410037885013
'481410053885013
'481670014885013
'482010024885013
'482010026885013
'482011034885013
'482011035885013
'482011039885013
'482011042885013
'482011050885013
'482030002885013
'482150043885013
'482450020885013
'482450021885013
'482450022885013
'482570005885013
'482730314885013
'483030001885013
'483390078885013
'483550025885013
'483611100885013
'483750005885013
'484391006885013
'484393008885013
'484393009885013
'484393011885013
'484530014885013
G44
-------
'484530020885013',
'484790313885013',
'510591005885013',
'510870014885013',
'511130003885013',
'516500004885013',
'517700015885013 ' ,
'720170003885013')
then MethodDescription = 'PM2.5 SCC w/No Correction Factor-TEOM
Gravimetric 50 deg C';
run;
** The following code corrects the rest of the labeling errors. **;
data MERGE.nonfrm_2004_raw_hourly_R; set MERGE.nonfrm_2004_raw_hourly_R,
if MethodDescription = 'PM2.5 SCC w/Correction Factor-TEOM Gravimetric
3 '
then MethodDescription = 'PM2.5 SCC w/Correction Factor-TEOM
Gravimetric 30 deg C';
if MethodDescription = 'PM2.5 SCC w/Correction Factor-TEOM Gravimetric
5'
then MethodDescription = 'PM2.5 SCC w/Correction Factor-TEOM
Gravimetric 50 deg C' ;
if MethodDescription = 'PM2.5 SSI w/No Correction Factor-TEOM
Gravimetri'
then MethodDescription = 'PM2.5 SSI w/No Correction Factor-TEOM
Gravimetric 50 deg C' ;
if MethodDescription = 'PM2.5 WINS w/No Correction Factor-TEOM
Gravimetr'
then MethodDescription = 'PM2.5 WINS w/No Correction Factor-TEOM
Gravimetric 30 deg C';
if MethodDescription = 'PM2.5 VSCC w/No Correction Factor-TEOM
Gravimetr'
then MethodDescription = 'PM2.5 VSCC w/No Correction Factor-TEOM
Gravimetric 30 deg C';
run;
*************************************************************************
************.
G45
-------
Programl 0_NonFRM_adjust_for_BDL
This program adjusts the hourly semi-continuous values reported as below the detection limit
(BDL) to half the detection limit or 0, whichever is greater. (Note: AQS reports 'negative'
detection limits.)
************************* PROGRAM NUMBER 10
********************************.
r
*****************************************************************************
**********
Non-FRM: Prep #4
This program is one of 5 prep tasks written to bring original Non-FRM
data tables into clean and compatible forms with the corresponding FRM data.
The series
of 5 prep programs begins with input files named "nonfrm_YYYY_PARAMETER" and
ends with
output files named "nonfrm_YYYY_PARAMETER_Final", where YYYY is a year 2004 -
2007 and
PARAMETER is acceptable, atmospheric, raw, or volatile (2006 & 2007 only).
*****************************************************************************
**********
,
*****************************************************************************
**********
Prep #4 replaces hourly measurement values reported as less than 0 and/or
less than MDL
with the larger of % *MDL or 0. (Note: AQS reported some detection limits as
< 0.)
Prep #4 Input File: NonFRM_YYYY_PARAMETER_Hourly
Prep #4 Output File: NonFRM_YYYY_PARAMETER_CORR, where YYYY is a year 2004 -
2007
and PARAMETER is acceptable, atmospheric, raw, or volatile (2006 & 2007
only).
For 2004_acceptable & 2004_raw,
Prep #4 Input File: NonFRM_2004_PARAMETER_Hourly_R
Prep #4 Output File: NonFRM_2004_PARAMETER_CORR_R.
All output data sets are sorted by site identifier, date, and time.
*****************************************************************************
**********
libname MERGE "J:\EMD_II\WA_333_FRM_vs_FEM\Non-FRM Data\REVISED\MERGE";
** NOTE: "MinimumDetectableLimit" does NOT contain missing values for any
hourly data set. **;
** NOTE: "MeasurementValue" does NOT contain missing values for any hourly
data set. **;
G46
-------
data MERGE.NonFRM_2004_atmospheric_CORR; set
MERGE.NonFRM_2004_atmospheric_Hourly;
if MinimumDetectableLimit < 0 then MDL_Corrected = 0;
else MDL_Corrected = MinimumDetectableLimit;
run;
** CHECKING. Looks OK **;
proc sort data = MERGE.NonFRM_2004_atmospheric_CORR out =
NonFRM_2004_atmospheric_CORR_S;
by MDL_Corrected;
run;
data MERGE.NonFRM_2004_atmospheric_CORR; set
MERGE.NonFRM_2004_atmospheric_CORR;
if MeasurementValue < MDL_Corrected then MeasurementValue_Corrected
MDL_Corrected/2;
else MeasurementValue_Corrected = MeasurementValue;
keep AQSParameterDescription DataSourceReferencelD Year
MeasurementValue MethodDescription
MinimumDetectableLimit DATE_REVISED Time24_REVISED Site_ID
MDL_Corrected MeasurementValue_Corrected;
run;
** CHECKING. Looks OK **;
proc sort data = MERGE.NonFRM_2004_atmospheric_CORR out =
NonFRM_2004_atmospheric_CORR_S2;
by MeasurementValue_Corrected;
run;
proc sort data = MERGE.NonFRM_2004_atmospheric_CORR out =
MERGE.NonFRM_2004_atmospheric_CORR;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
data MERGE.NonFRM_2005_acceptable_CORR; set
MERGE.NonFRM_2005_acceptable_Hourly;
if MinimumDetectableLimit < 0 then MDL_Corrected = 0;
else MDL_Corrected = MinimumDetectableLimit;
run;
** CHECKING. Looks OK **;
proc sort data = MERGE.NonFRM_2005_acceptable_CORR out =
NonFRM_2005_acceptable_CORR_S;
by MDL_Corrected;
run;
data MERGE.NonFRM_2005_acceptable_CORR; set
MERGE.NonFRM_2005_acceptable_CORR;
if MeasurementValue < MDL_Corrected then MeasurementValue_Corrected
MDL_Corrected/2;
else MeasurementValue_Corrected = MeasurementValue;
keep AQSParameterDescription DataSourceReferencelD Year
MeasurementValue MethodDescription
MinimumDetectableLimit DATE_REVISED Time24_REVISED Site_ID
MDL_Corrected MeasurementValue_Corrected;
run;
** CHECKING. Looks OK **;
proc sort data = MERGE.NonFRM_2005_acceptable_CORR out =
NonFRM_2005_acceptable_CORR_S2;
by MeasurementValue_Corrected;
G47
-------
run;
proc sort data = MERGE.NonFRM_2005_acceptable_CORR out =
MERGE.NonFRM_2005_acceptable_CORR;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
data MERGE.NonFRM_2005_atmospheric_CORR; set
MERGE.NonFRM_2005_atmospheric_Hourly;
if MinimumDetectableLimit < 0 then MDL_Corrected = 0;
else MDL_Corrected = MinimumDetectableLimit;
run;
** CHECKING. Looks OK **;
proc sort data = MERGE.NonFRM_2005_atmospheric_CORR out =
NonFRM_2005_atmospheric_CORR_S;
by MDL_Corrected;
run;
data MERGE.NonFRM_2005_atmospheric_CORR; set
MERGE.NonFRM_2005_atmospheric_CORR;
if MeasurementValue < MDL_Corrected then MeasurementValue_Corrected
MDL_Corrected/2;
else MeasurementValue_Corrected = MeasurementValue;
keep AQSParameterDescription DataSourceReferencelD Year
MeasurementValue MethodDescription
MinimumDetectableLimit DATE_REVISED Time24_REVISED Site_ID
MDL_Corrected MeasurementValue_Corrected;
run;
** CHECKING. Looks OK **;
proc sort data = MERGE.NonFRM_2005_atmospheric_CORR out =
NonFRM_2005_atmospheric_CORR_S2;
by MeasurementValue_Corrected;
run;
proc sort data = MERGE.NonFRM_2005_atmospheric_CORR out =
MERGE.NonFRM_2005_atmospheric_CORR;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
data MERGE.NonFRM_2005_raw_CORR; set MERGE.NonFRM_2005_raw_Hourly;
if MinimumDetectableLimit < 0 then MDL_Corrected = 0;
else MDL_Corrected = MinimumDetectableLimit;
run;
** CHECKING. Looks OK **;
proc sort data = MERGE.NonFRM_2005_raw_CORR out = NonFRM_2005_raw_CORR_S;
by MDL_Corrected;
run;
data MERGE.NonFRM_2005_raw_CORR; set MERGE.NonFRM_2005_raw_CORR;
if MeasurementValue < MDL_Corrected then MeasurementValue_Corrected
MDL_Corrected/2;
else MeasurementValue_Corrected = MeasurementValue;
keep AQSParameterDescription DataSourceReferencelD Year
MeasurementValue MethodDescription
MinimumDetectableLimit DATE_REVISED Time24_REVISED Site_ID
MDL_Corrected MeasurementValue_Corrected;
run;
G48
-------
** CHECKING. Looks OK **;
proc sort data = MERGE.NonFRM_2005_raw_CORR out = NonFRM_2005_raw_CORR_S2;
by MeasurementValue_Corrected;
run;
proc sort data = MERGE.NonFRM_2005_raw_CORR out = MERGE.NonFRM_2005_raw_CORR;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
data MERGE.NonFRM_2006_acceptable_CORR; set
MERGE.NonFRM_2006_acceptable_Hourly;
if MinimumDetectableLimit < 0 then MDL_Corrected = 0;
else MDL_Corrected = MinimumDetectableLimit;
run;
** CHECKING. Looks OK **;
proc sort data = MERGE.NonFRM_2006_acceptable_CORR out =
NonFRM_2006_acceptable_CORR_S;
by MDL_Corrected;
run;
data MERGE.NonFRM_2006_acceptable_CORR; set
MERGE.NonFRM_2006_acceptable_CORR;
if MeasurementValue < MDL_Corrected then MeasurementValue_Corrected =
MDL_Corrected/2;
else MeasurementValue_Corrected = MeasurementValue;
keep AQSParameterDescription DataSourceReferencelD Year
MeasurementValue MethodDescription
MinimumDetectableLimit DATE_REVISED Time24_REVISED Site_ID
MDL_Corrected MeasurementValue_Corrected;
run;
** CHECKING. Looks OK **;
proc sort data = MERGE.NonFRM_2006_acceptable_CORR out =
NonFRM_2006_acceptable_CORR_S2;
by MeasurementValue_Corrected;
run;
proc sort data = MERGE.NonFRM_2006_acceptable_CORR out =
MERGE.NonFRM_2006_acceptable_CORR;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
data MERGE.NonFRM_2006_atmospheric_CORR; set
MERGE.NonFRM_2006_atmospheric_Hourly;
if MinimumDetectableLimit < 0 then MDL_Corrected = 0;
else MDL_Corrected = MinimumDetectableLimit;
run;
** CHECKING. Looks OK **;
proc sort data = MERGE.NonFRM_2006_atmospheric_CORR out =
NonFRM_2006_atmospheric_CORR_S;
by MDL_Corrected;
run;
data MERGE.NonFRM_2006_atmospheric_CORR; set
MERGE.NonFRM_2006_atmospheric_CORR;
if MeasurementValue < MDL_Corrected then MeasurementValue_Corrected =
MDL_Corrected/2;
else MeasurementValue_Corrected = MeasurementValue;
G49
-------
keep AQSParameterDescription DataSourceReferencelD Year
MeasurementValue MethodDescription
MinimumDetectableLimit DATE_REVISED Time24_REVISED Site_ID
MDL_Corrected MeasurementValue_Corrected;
run;
** CHECKING. Looks OK **;
proc sort data = MERGE.NonFRM_2006_atmospheric_CORR out =
NonFRM_2006_atmospheric_CORR_S2;
by MeasurementValue_Corrected;
run;
proc sort data = MERGE.NonFRM_2006_atmospheric_CORR out =
MERGE.NonFRM_2006_atmospheric_CORR;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
data MERGE.NonFRM_2006_raw_CORR; set MERGE.NonFRM_2006_raw_Hourly;
if MinimumDetectableLimit < 0 then MDL_Corrected = 0;
else MDL_Corrected = MinimumDetectableLimit;
run;
** CHECKING. Looks OK **;
proc sort data = MERGE.NonFRM_2006_raw_CORR out = NonFRM_2006_raw_CORR_S;
by MDL_Corrected;
run;
data MERGE.NonFRM_2006_raw_CORR; set MERGE.NonFRM_2006_raw_CORR;
if MeasurementValue < MDL_Corrected then MeasurementValue_Corrected =
MDL_Corrected/2;
else MeasurementValue_Corrected = MeasurementValue;
keep AQSParameterDescription DataSourceReferencelD Year
MeasurementValue MethodDescription
MinimumDetectableLimit DATE_REVISED Time24_REVISED Site_ID
MDL_Corrected MeasurementValue_Corrected;
run;
** CHECKING. Looks OK **;
proc sort data = MERGE.NonFRM_2006_raw_CORR out = NonFRM_2006_raw_CORR_S2;
by MeasurementValue_Corrected;
run;
proc sort data = MERGE.NonFRM_2006_raw_CORR out = MERGE.NonFRM_2006_raw_CORR;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
data MERGE.NonFRM_2006_volatile_CORR; set MERGE.NonFRM_2006_volatile_Hourly;
if MinimumDetectableLimit < 0 then MDL_Corrected = 0;
else MDL_Corrected = MinimumDetectableLimit;
run;
** CHECKING. Looks OK **;
proc sort data = MERGE.NonFRM_2006_volatile_CORR out =
NonFRM_2006_volatile_CORR_S;
by MDL_Corrected;
run;
data MERGE.NonFRM_2006_volatile_CORR; set MERGE.NonFRM_2006_volatile_CORR;
if MeasurementValue < MDL_Corrected then MeasurementValue_Corrected =
MDL_Corrected/2;
else MeasurementValue_Corrected = MeasurementValue;
G50
-------
keep AQSParameterDescription DataSourceReferencelD Year
MeasurementValue MethodDescription
MinimumDetectableLimit DATE_REVISED Time24_REVISED Site_ID
MDL_Corrected MeasurementValue_Corrected;
run;
** CHECKING. Looks OK **;
proc sort data = MERGE.NonFRM_2006_volatile_CORR out =
NonFRM_2006_volatile_CORR_S2;
by MeasurementValue_Corrected;
run;
proc sort data = MERGE.NonFRM_2006_volatile_CORR out =
MERGE.NonFRM_2006_volatile_CORR;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
data MERGE.NonFRM_2007_acceptable_CORR; set
MERGE.NonFRM_2007_acceptable_Hourly;
if MinimumDetectableLimit < 0 then MDL_Corrected = 0;
else MDL_Corrected = MinimumDetectableLimit;
run;
** CHECKING. Looks OK **;
proc sort data = MERGE.NonFRM_2007_acceptable_CORR out =
NonFRM_2007_acceptable_CORR_S;
by MDL_Corrected;
run;
data MERGE.NonFRM_2007_acceptable_CORR; set
MERGE.NonFRM_2007_acceptable_CORR;
if MeasurementValue < MDL_Corrected then MeasurementValue_Corrected
MDL_Corrected/2;
else MeasurementValue_Corrected = MeasurementValue;
keep AQSParameterDescription DataSourceReferencelD Year
MeasurementValue MethodDescription
MinimumDetectableLimit DATE_REVISED Time24_REVISED Site_ID
MDL_Corrected MeasurementValue_Corrected;
run;
** CHECKING. Looks OK **;
proc sort data = MERGE.NonFRM_2007_acceptable_CORR out =
NonFRM_2007_acceptable_CORR_S2;
by MeasurementValue_Corrected;
run;
proc sort data = MERGE.NonFRM_2007_acceptable_CORR out =
MERGE.NonFRM_2007_acceptable_CORR;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
data MERGE.NonFRM_2007_atmospheric_CORR; set
MERGE.NonFRM_2007_atmospheric_Hourly;
if MinimumDetectableLimit < 0 then MDL_Corrected = 0;
else MDL_Corrected = MinimumDetectableLimit;
run;
** CHECKING. Looks OK **;
proc sort data = MERGE.NonFRM_2007_atmospheric_CORR out =
NonFRM_2007_atmospheric_CORR_S;
G51
-------
by MDL_Corrected;
run;
data MERGE.NonFRM_2007_atmospheric_CORR; set
MERGE.NonFRM_2007_atmospheric_CORR;
if MeasurementValue < MDL_Corrected then MeasurementValue_Corrected =
MDL_Corrected/2;
else MeasurementValue_Corrected = MeasurementValue;
keep AQSParameterDescription DataSourceReferencelD Year
MeasurementValue MethodDescription
MinimumDetectableLimit DATE_REVISED Time24_REVISED Site_ID
MDL_Corrected MeasurementValue_Corrected;
run;
** CHECKING. Looks OK **;
proc sort data = MERGE.NonFRM_2007_atmospheric_CORR out =
NonFRM_2007_atmospheric_CORR_S2;
by MeasurementValue_Corrected;
run;
proc sort data = MERGE.NonFRM_2007_atmospheric_CORR out =
MERGE.NonFRM_2007_atmospheric_CORR;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
data MERGE.NonFRM_2007_raw_CORR; set MERGE.NonFRM_2007_raw_Hourly;
if MinimumDetectableLimit < 0 then MDL_Corrected = 0;
else MDL_Corrected = MinimumDetectableLimit;
run;
** CHECKING. Looks OK **;
proc sort data = MERGE.NonFRM_2007_raw_CORR out = NonFRM_2007_raw_CORR_S;
by MDL_Corrected;
run;
data MERGE.NonFRM_2007_raw_CORR; set MERGE.NonFRM_2007_raw_CORR;
if MeasurementValue < MDL_Corrected then MeasurementValue_Corrected =
MDL_Corrected/2;
else MeasurementValue_Corrected = MeasurementValue;
keep AQSParameterDescription DataSourceReferencelD Year
MeasurementValue MethodDescription
MinimumDetectableLimit DATE_REVISED Time24_REVISED Site_ID
MDL_Corrected MeasurementValue_Corrected;
run;
** CHECKING. Looks OK **;
proc sort data = MERGE.NonFRM_2007_raw_CORR out = NonFRM_2007_raw_CORR_S2;
by MeasurementValue_Corrected;
run;
proc sort data = MERGE.NonFRM_2007_raw_CORR out = MERGE.NonFRM_2007_raw_CORR;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
data MERGE.NonFRM_2007_volatile_CORR; set MERGE.NonFRM_2007_volatile_Hourly;
if MinimumDetectableLimit < 0 then MDL_Corrected = 0;
else MDL_Corrected = MinimumDetectableLimit;
run;
** CHECKING. Looks OK **;
G52
-------
proc sort data = MERGE.NonFRM_2007_volatile_CORR out =
NonFRM_2007_volatile_CORR_S;
by MDL_Corrected;
run;
data MERGE.NonFRM_2007_volatile_CORR; set MERGE.NonFRM_2007_volatile_CORR;
if MeasurementValue < MDL_Corrected then MeasurementValue_Corrected
MDL_Corrected/2;
else MeasurementValue_Corrected = MeasurementValue;
keep AQSParameterDescription DataSourceReferencelD Year
MeasurementValue MethodDescription
MinimumDetectableLimit DATE_REVISED Time24_REVISED Site_ID
MDL_Corrected MeasurementValue_Corrected;
run;
** CHECKING. Looks OK **;
proc sort data = MERGE.NonFRM_2007_volatile_CORR out =
NonFRM_2007_volatile_CORR_S2;
by MeasurementValue_Corrected;
run;
proc sort data = MERGE.NonFRM_2007_volatile_CORR out =
MERGE.NonFRM_2007_volatile_CORR;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
data MERGE.NonFRM_2004_acceptable_CORR_R; set
MERGE.NonFRM_2004_acceptable_Hourly_R;
if MinimumDetectableLimit < 0 then MDL_Corrected = 0;
else MDL_Corrected = MinimumDetectableLimit;
run;
data MERGE.NonFRM_2004_acceptable_CORR_R; set
MERGE.NonFRM_2004_acceptable_CORR_R;
if MeasurementValue < MDL_Corrected then MeasurementValue_Corrected
MDL_Corrected/2;
else MeasurementValue_Corrected = MeasurementValue;
keep AQSParameterDescription DataSourceReferencelD Year
MeasurementValue MethodDescription
MinimumDetectableLimit DATE_REVISED Time24_REVISED Site_ID
MDL_Corrected MeasurementValue_Corrected;
run;
** CHECKING. Looks OK **;
proc sort data = MERGE.NonFRM_2004_acceptable_CORR_R out =
NonFRM_2004_acceptable_CORR_R;
by MeasurementValue_Corrected;
run;
proc sort data = MERGE.NonFRM_2004_acceptable_CORR_R out =
MERGE.NonFRM_2004_acceptable_CORR_R;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
data MERGE.NonFRM_2004_raw_CORR_R; set MERGE.NonFRM_2004_raw_Hourly_R;
if MinimumDetectableLimit < 0 then MDL_Corrected = 0;
else MDL_Corrected = MinimumDetectableLimit;
run;
G53
-------
data MERGE.NonFRM_2004_raw_CORR_R; set MERGE.NonFRM_2004_raw_CORR_R;
if MeasurementValue < MDL_Corrected then MeasurementValue_Corrected =
MDL_Corrected/2;
else MeasurementValue_Corrected = MeasurementValue;
keep AQSParameterDescription DataSourceReferencelD Year
MeasurementValue MethodDescription
MinimumDetectableLimit DATE_REVISED Time24_REVISED Site_ID
MDL_Corrected MeasurementValue_Corrected;
run;
** CHECKING. Looks OK **;
proc sort data = MERGE.NonFRM_2004_raw_CORR_R out = NonFRM_2004_raw_CORR_R;
by MeasurementValue_Corrected;
run;
proc sort data = MERGE.NonFRM_2004_raw_CORR_R out =
MERGE.NonFRM_2004_raw_CORR_R;
by DataSourceReferencelD DATE_REVISED Time24_REVISED;
run;
*************************************************************************
**********
G54
-------
Programl 0-5QA_after_Programl 0_ Univariate_on_BDL_adjusted
This program compares the "before and after" results of the BDL adjustments through PROC
UNIVARIATE.
************************* Program Number 10.5 -- QA
********************************.
i
*****************************************************************************
***********
This program gives data summary on "Before" and "After" the BDL adjustment
for the 14
non-FRM data sets.
SAS Output File: ProcUnivariate_CORRECTED.1st
*****************************************************************************
***********
libname MERGE "J:\EMD_II\WA_333_FRM_vs_FEM\Non-FRM Data\REVISED\MERGE";
proc univariate data=MERGE.nonfrm_2004_acceptable_corr_R;
var MeasurementValue MeasurementValue_Corrected;
title 'NonFRM_2004_ACCEPTABLE';
proc univariate data=MERGE.nonfrm_2004_atmospheric_corr;
var MeasurementValue MeasurementValue_Corrected;
title 'NonFRM_2004_ATMOSPHERICT;
proc univariate data=MERGE.nonfrm_2004_raw_corr_R;
var MeasurementValue MeasurementValue_Corrected;
title 'NonFRM_2004_RAW;
proc univariate data=MERGE.nonfrm_2005_acceptable_corr;
var MeasurementValue MeasurementValue_Corrected;
title 'NonFRM_2005_ACCEPTABLE';
proc univariate data=MERGE.nonfrm_2005_atmospheric_corr;
var MeasurementValue MeasurementValue_Corrected;
title 'NonFRM_2005_ATMOSPHERICT;
proc univariate data=MERGE.nonfrm_2005_raw_corr;
var MeasurementValue MeasurementValue_Corrected;
title TNonFRM_2005_RAW;
proc univariate data=MERGE.nonfrm_2006_acceptable_corr;
var MeasurementValue MeasurementValue_Corrected;
title 'NonFRM_2006_ACCEPTABLE';
proc univariate data=MERGE.nonfrm_2006_atmospheric_corr;
var MeasurementValue MeasurementValue_Corrected;
title 'NonFRM_2006_ATMOSPHERICT;
proc univariate data=MERGE.nonfrm_2006_raw_corr;
var MeasurementValue MeasurementValue_Corrected;
title 'NonFRM 2006 RAW;
G55
-------
proc univariate data=MERGE.nonfrm_2006_volatile_corr;
var MeasurementValue MeasurementValue_Corrected;
title 'NonFRM_2006_VOLATILE';
proc univariate data=MERGE.nonfrm_2007_acceptable_corr;
var MeasurementValue MeasurementValue_Corrected;
title 'NonFRM_2007_ACCEPTABLE';
proc univariate data=MERGE.nonfrm_2007_atmospheric_corr;
var MeasurementValue MeasurementValue_Corrected;
title 'NonFRM_2007_ATMOSPHERICT;
proc univariate data=MERGE.nonfrm_2007_raw_corr;
var MeasurementValue MeasurementValue_Corrected;
title TNonFRM_2007_RAW;
proc univariate data=MERGE.nonfrm_2007_volatile_corr;
var MeasurementValue MeasurementValue_Corrected;
title 'NonFRM_2007_VOLATILE';
run;
G56
-------
Programll_NonFRM_avg_daily
This program calculates daily means from the hourly semi-continuous values.
***************** PROGRAM NUMBER 11 *************************.
*****************************************************************************
**********
Non-FRM: Prep #5
This program is one of 5 prep tasks written to bring original Non-FRM
data tables into clean and compatible forms with the corresponding FRM data.
Series of
5 prep programs begin with input files named "nonfrm_YYYY_PARAMETER" and end
with
output files named "nonfrm_YYYY_PARAMETER_Final", where YYYY is a year 2004 -
2007 and
PARAMETER is acceptable, atmospheric, raw, or volatile (2006 & 2007 only).
*****************************************************************************
**********
*****************************************************************************
**********
Prep #5 calculates daily mean values for each site. In other words, each site
will have
only one record per day once this program is run. This program then replaces
the values
with a decimal point (i.e., missing value) for those days with the number of
hourly
values reported as less than 18.
Note that 'volatile' has been excluded from this program as it was decided to
exclude
this method type from the further analyses.
Prep #5 Input File: nonfrm_YYYY_PARAMETER_corr
Prep #5 Output File: nonfrm_YYYY_PARAMETER_FINAL, where YYYY is a year 2004 -
2007
and PARAMETER is acceptable, atmospheric or raw.
For 2004_acceptable & 2004_raw,
Prep #5 Input File: nonfrm_2004_PARAMETER_corr_R
Prep #5 Output File: nonfrm_2004_PARAMETER_FINAL_R.
*****************************************************************************
**********
libname MERGE "J:\EMD II\WA 333 FRM vs FEM\Non-FRM Data\REVISED\MERGE";
Proc Sort data=MERGE.nonfrm_2004_atmospheric_corr;
by DataSourceReferencelD MethodDescription DATE_REVISED;
run;
proc means data=MERGE.nonfrm_2004_atmospheric_corr mean n noprint;
by DataSourceReferencelD MethodDescription DATE_REVISED;
G57
-------
id MethodDescription Site_ID;
var MeasurementValue_Corrected;
output out=nonfrm_2004_atmospheric_FINAL mean = CorrectedValue_NonFRM n
= n_NonFRM;
run;
data MERGE.nonfrm_2004_atmospheric_FINAL; set nonfrm_2004_atmospheric_FINAL;
if n_NonFRM < 18 then CorrectedValue_NonFRM = .;
else CorrectedValue_NonFRM = CorrectedValue_NonFRM;
drop _TYPE FREQ_;
run;
Proc Sort data=MERGE.nonfrm_2005_acceptable_corr;
by DataSourceReferencelD MethodDescription DATE_REVISED;
run;
proc means data=MERGE.nonfrm_2005_acceptable_corr mean n noprint;
by DataSourceReferencelD MethodDescription DATE_REVISED;
id MethodDescription Site_ID;
var MeasurementValue_Corrected;
output out=nonfrm_2005_acceptable_FINAL mean = CorrectedValue_NonFRM n
= n_NonFRM;
run;
data MERGE.nonfrm_2005_acceptable_FINAL; set nonfrm_2005_acceptable_FINAL;
if n_NonFRM < 18 then CorrectedValue_NonFRM = .;
else CorrectedValue_NonFRM = CorrectedValue_NonFRM;
drop _TYPE FREQ_;
run;
Proc Sort data=MERGE.nonfrm_2005_atmospheric_corr;
by DataSourceReferencelD MethodDescription DATE_REVISED;
run;
proc means data=MERGE.nonfrm_2005_atmospheric_corr mean n noprint;
by DataSourceReferencelD MethodDescription DATE_REVISED;
id MethodDescription Site_ID;
var MeasurementValue_Corrected;
output out=nonfrm_2005_atmospheric_FINAL mean = CorrectedValue_NonFRM n
= n_NonFRM;
run;
data MERGE.nonfrm_2005_atmospheric_FINAL; set nonfrm_2005_atmospheric_FINAL;
if n_NonFRM < 18 then CorrectedValue_NonFRM = .;
else CorrectedValue_NonFRM = CorrectedValue_NonFRM;
drop _TYPE FREQ_;
run;
Proc Sort data=MERGE.nonfrm_2005_raw_corr;
by DataSourceReferencelD MethodDescription DATE_REVISED;
run;
proc means data=MERGE.nonfrm_2005_raw_corr mean n noprint;
by DataSourceReferencelD MethodDescription DATE_REVISED;
id MethodDescription Site_ID;
var MeasurementValue_Corrected;
output out=nonfrm_2005_raw_FINAL mean = CorrectedValue_NonFRM n =
n_NonFRM;
G58
-------
run;
data MERGE.nonfrm_2005_raw_FINAL; set nonfrm_2005_raw_FINAL;
if n_NonFRM < 18 then CorrectedValue_NonFRM = .;
else CorrectedValue_NonFRM = CorrectedValue_NonFRM;
drop _TYPE FREQ_;
run;
Proc Sort data=MERGE.nonfrm_2006_acceptable_corr;
by DataSourceReferencelD MethodDescription DATE_REVISED;
run;
proc means data=MERGE.nonfrm_2006_acceptable_corr mean n noprint;
by DataSourceReferencelD MethodDescription DATE_REVISED;
id MethodDescription Site_ID;
var MeasurementValue_Corrected;
output out=nonfrm_2006_acceptable_FINAL mean = CorrectedValue_NonFRM n
= n_NonFRM;
run;
data MERGE.nonfrm_2006_acceptable_FINAL; set nonfrm_2006_acceptable_FINAL;
if n_NonFRM < 18 then CorrectedValue_NonFRM = .;
else CorrectedValue_NonFRM = CorrectedValue_NonFRM;
drop _TYPE FREQ_;
run;
Proc Sort data=MERGE.nonfrm_2006_atmospheric_corr;
by DataSourceReferencelD MethodDescription DATE_REVISED;
run;
proc means data=MERGE.nonfrm_2006_atmospheric_corr mean n noprint;
by DataSourceReferencelD MethodDescription DATE_REVISED;
id MethodDescription Site_ID;
var MeasurementValue_Corrected;
output out=nonfrm_2006_atmospheric_FINAL mean = CorrectedValue_NonFRM n
= n_NonFRM;
run;
data MERGE.nonfrm_2006_atmospheric_FINAL; set nonfrm_2006_atmospheric_FINAL;
if n_NonFRM < 18 then CorrectedValue_NonFRM = .;
else CorrectedValue_NonFRM = CorrectedValue_NonFRM;
drop _TYPE FREQ_;
run;
Proc Sort data=MERGE.nonfrm_2006_raw_corr;
by DataSourceReferencelD MethodDescription DATE_REVISED;
run;
proc means data=MERGE.nonfrm_2006_raw_corr mean n noprint;
by DataSourceReferencelD MethodDescription DATE_REVISED;
id MethodDescription Site_ID;
var MeasurementValue_Corrected;
output out=nonfrm_2006_raw_FINAL mean = CorrectedValue_NonFRM n =
n_NonFRM;
run;
data MERGE.nonfrm_2006_raw_FINAL; set nonfrm_2006_raw_FINAL;
if n_NonFRM < 18 then CorrectedValue_NonFRM = .;
else CorrectedValue_NonFRM = CorrectedValue_NonFRM;
G59
-------
drop _TYPE FREQ_;
run;
Proc Sort data=MERGE.nonfrm_2007_acceptable_corr;
by DataSourceReferencelD MethodDescription DATE_REVISED;
run;
proc means data=MERGE.nonfrm_2007_acceptable_corr mean n noprint;
by DataSourceReferencelD MethodDescription DATE_REVISED;
id MethodDescription Site_ID;
var MeasurementValue_Corrected;
output out=nonfrm_2007_acceptable_FINAL mean = CorrectedValue_NonFRM n
= n_NonFRM;
run;
data MERGE.nonfrm_2007_acceptable_FINAL; set nonfrm_2007_acceptable_FINAL;
if n_NonFRM < 18 then CorrectedValue_NonFRM = .;
else CorrectedValue_NonFRM = CorrectedValue_NonFRM;
drop _TYPE FREQ_;
run;
Proc Sort data=MERGE.nonfrm_2007_atmospheric_corr;
by DataSourceReferencelD MethodDescription DATE_REVISED;
run;
proc means data=MERGE.nonfrm_2007_atmospheric_corr mean n noprint;
by DataSourceReferencelD MethodDescription DATE_REVISED;
id MethodDescription Site_ID;
var MeasurementValue_Corrected;
output out=nonfrm_2007_atmospheric_FINAL mean = CorrectedValue_NonFRM n
= n_NonFRM;
run;
data MERGE.nonfrm_2007_atmospheric_FINAL; set nonfrm_2007_atmospheric_FINAL;
if n_NonFRM < 18 then CorrectedValue_NonFRM = .;
else CorrectedValue_NonFRM = CorrectedValue_NonFRM;
drop _TYPE FREQ_;
run;
Proc Sort data=MERGE.nonfrm_2007_raw_corr;
by DataSourceReferencelD MethodDescription DATE_REVISED;
run;
proc means data=MERGE.nonfrm_2007_raw_corr mean n noprint;
by DataSourceReferencelD MethodDescription DATE_REVISED;
id MethodDescription Site_ID;
var MeasurementValue_Corrected;
output out=nonfrm_2007_raw_FINAL mean = CorrectedValue_NonFRM n =
n_NonFRM;
run;
data MERGE.nonfrm_2007_raw_FINAL; set nonfrm_2007_raw_FINAL;
if n_NonFRM < 18 then CorrectedValue_NonFRM = .;
else CorrectedValue_NonFRM = CorrectedValue_NonFRM;
drop _TYPE FREQ_;
run;
Proc Sort data=MERGE.nonfrm_2004_acceptable_corr_R;
by DataSourceReferencelD MethodDescription DATE_REVISED;
G60
-------
run;
proc means data=MERGE.nonfrm_2004_acceptable_corr_R mean n noprint;
by DataSourceReferencelD MethodDescription DATE_REVISED;
id MethodDescription Site_ID;
var MeasurementValue_Corrected;
output out=nonfrm_2004_acceptable_FINAL_R mean = CorrectedValue_NonFRM
n = n_NonFRM;
run;
data MERGE.nonfrm_2004_acceptable_FINAL_R; set
nonfrm_2004_acceptable_FINAL_R;
if n_NonFRM < 18 then CorrectedValue_NonFRM = .;
else CorrectedValue_NonFRM = CorrectedValue_NonFRM;
drop _TYPE FREQ_;
run;
Proc Sort data=MERGE.nonfrm_2004_raw_corr_R;
by DataSourceReferencelD MethodDescription DATE_REVISED;
run;
proc means data=MERGE.nonfrm_2004_raw_corr_R mean n noprint;
by DataSourceReferencelD MethodDescription DATE_REVISED;
id MethodDescription Site_ID;
var MeasurementValue_Corrected;
output out=nonfrm_2004_raw_FINAL_R mean = CorrectedValue_NonFRM n =
n_NonFRM;
run;
data MERGE.nonfrm_2004_raw_FINAL_R; set nonfrm_2004_raw_FINAL_R;
if n_NonFRM < 18 then CorrectedValue_NonFRM = .;
else CorrectedValue_NonFRM = CorrectedValue_NonFRM;
drop _TYPE FREQ_;
run;
*************************************************************************
**********
G61
-------
Programl2_merge_FRM_NonFRM
This program merges the FRM and semi-continuous data by date.
************************** PROGRAM NUMBER 12
************************** .
i
*****************************************************************************
*************
This program merges corresponding FRM and non-FRM data by date.
Input File : FRM_YYYY_FINAL & nonfrm_YYYY_PARAMETER_Final
(FRM_2004_FINAL & nonfrm_2004_PARAMETER_Final_R for
2004_acceptable & 2004_raw)
Output File: MERGED_YYYY_PARAMETER, where YYYY is a year 2004 - 2007 and
PARAMETER is
acceptable, atmospheric, or raw.
Final data sets are sorted by site identification and date.
*****************************************************************************
************* .
libname MERGE 'J:\EMD_II\WA_333_FRM_vs_FEM\Non-FRM Data\REVISED\MERGE';
libname FRM 'J:\EMD_II\WA_333_FRM_vs_FEM\Non-FRM Data\REVISED\MERGE\SAS FRM
Data' ;
libname FINAL 'J:\EMD_II\WA_333_FRM_vs_FEM\Non-FRM
Data\REVISED\MERGE\MERGE FINAL';
Proc Sort data=MERGE.nonfrm_2004_atmospheric_final;
by Site_ID DATE_REVISED;
run;
Proc Sort data=FRM.frm_2004_final;
by Site_ID DATE_REVISED;
run;
data MERGED_2004_atmospheric;
merge MERGE.nonfrm_2004_atmospheric_final(in=inNonFRM)
FRM.frm_2004_final(in=inFRM);
by Site_ID DATE_REVISED;
if inNonFRM and inFRM;
run;
data MERGED_2004_atmospheric;
set MERGED_2004_atmospheric;
run;
Proc sort data = MERGED_2004_atmospheric out = FINAL.MERGED_2004_atmospheric;
by DataSourceReferencelD DATE_REVISED;
run;
Proc Sort data=MERGE.nonfrm_2005_acceptable_final;
by Site_ID DATE_REVISED;
run;
G62
-------
Proc Sort data=FRM.frm_2005_final;
by Site_ID DATE_REVISED;
run;
data MERGED_2005_Acceptable;
merge MERGE.nonfrm_2005_acceptable_final(in=inNonFRM)
FRM.frm_2005_final(in=inFRM);
by Site_ID DATE_REVISED;
if inNonFRM and inFRM;
run;
data MERGED_2005_Acceptable;
set MERGED_2005_Acceptable;
run;
Proc sort data = MERGED_2005_Acceptable out = FINAL.MERGED_2005_Acceptable;
by DataSourceReferencelD DATE_REVISED;
run;
Proc Sort data=MERGE.nonfrm_2005_atmospheric_final;
by Site_ID DATE_REVISED;
run;
Proc Sort data=FRM.frm_2005_final;
by Site_ID DATE_REVISED;
run;
data MERGED_2005_atmospheric;
merge MERGE.nonfrm_2005_atmospheric_final(in=inNonFRM)
FRM.frm_2005_final(in=inFRM);
by Site_ID DATE_REVISED;
if inNonFRM and inFRM;
run;
data MERGED_2005_atmospheric;
set MERGED_2005_atmospheric;
run;
Proc sort data = MERGED_2005_atmospheric out = FINAL.MERGED_2005_atmospheric;
by DataSourceReferencelD DATE_REVISED;
run;
Proc Sort data=MERGE.nonfrm_2005_raw_final;
by Site_ID DATE_REVISED;
run;
Proc Sort data=FRM.frm_2005_final;
by Site_ID DATE_REVISED;
run;
data MERGED_2005_raw;
merge MERGE.nonfrm_2005_raw_final(in=inNonFRM)
FRM.frm_2005_final(in=inFRM);
by Site_ID DATE_REVISED;
if inNonFRM and inFRM;
run;
data MERGED_2005_raw;
set MERGED_2005_raw;
run;
Proc sort data = MERGED_2005_raw out = FINAL.MERGED_2005_raw;
by DataSourceReferencelD DATE_REVISED;
run;
G63
-------
Proc Sort data=MERGE.nonfrm_2006_acceptable_final;
by Site_ID DATE_REVISED;
run;
Proc Sort data=FRM.frm_2006_final;
by Site_ID DATE_REVISED;
run;
data MERGED_2006_Acceptable;
merge MERGE.nonfrm_2006_acceptable_final(in=inNonFRM)
FRM.frm_2006_final(in=inFRM);
by Site_ID DATE_REVISED;
if inNonFRM and inFRM;
run;
data MERGED_2006_Acceptable;
set MERGED_2006_Acceptable;
run;
Proc sort data = MERGED_2006_Acceptable out = FINAL.MERGED_2006_Acceptable;
by DataSourceReferencelD DATE_REVISED;
run;
Proc Sort data=MERGE.nonfrm_2006_atmospheric_final;
by Site_ID DATE_REVISED;
run;
Proc Sort data=FRM.frm_2006_final;
by Site_ID DATE_REVISED;
run;
data MERGED_2006_atmospheric;
merge MERGE.nonfrm_2006_atmospheric_final(in=inNonFRM)
FRM.frm_2006_final(in=inFRM);
by Site_ID DATE_REVISED;
if inNonFRM and inFRM;
run;
data MERGED_2006_atmospheric;
set MERGED_2006_atmospheric;
run;
Proc sort data = MERGED_2006_atmospheric out = FINAL.MERGED_2006_atmospheric;
by DataSourceReferencelD DATE_REVISED;
run;
Proc Sort data=MERGE.nonfrm_2006_raw_final;
by Site_ID DATE_REVISED;
run;
Proc Sort data=FRM.frm_2006_final;
by Site_ID DATE_REVISED;
run;
data MERGED_2006_raw;
merge MERGE.nonfrm_2006_raw_final(in=inNonFRM)
FRM.frm_2006_final(in=inFRM);
by Site_ID DATE_REVISED;
if inNonFRM and inFRM;
run;
data MERGED_2006_raw;
set MERGED_2006_raw;
run;
G64
-------
Proc sort data = MERGED_2006_raw out = FINAL.MERGED_2006_raw;
by DataSourceReferencelD DATE_REVISED;
run;
Proc Sort data=MERGE.nonfrm_2007_acceptable_final;
by Site_ID DATE_REVISED;
run;
Proc Sort data=FRM.frm_2007_final;
by Site_ID DATE_REVISED;
run;
data MERGED_2007_Acceptable;
merge MERGE.nonfrm_2007_acceptable_final(in=inNonFRM)
FRM.frm_2007_final(in=inFRM);
by Site_ID DATE_REVISED;
if inNonFRM and inFRM;
run;
data MERGED_2007_Acceptable;
set MERGED_2007_Acceptable;
run;
Proc sort data = MERGED_2007_Acceptable out = FINAL.MERGED_2007_Acceptable;
by DataSourceReferencelD DATE_REVISED;
run;
Proc Sort data=MERGE.nonfrm_2007_atmospheric_final;
by Site_ID DATE_REVISED;
run;
Proc Sort data=FRM.frm_2007_final;
by Site_ID DATE_REVISED;
run;
data MERGED_2007_atmospheric;
merge MERGE.nonfrm_2007_atmospheric_final(in=inNonFRM)
FRM.frm_2007_final(in=inFRM);
by Site_ID DATE_REVISED;
if inNonFRM and inFRM;
run;
data MERGED_2007_atmospheric;
set MERGED_2007_atmospheric;
run;
Proc sort data = MERGED_2007_atmospheric out = FINAL.MERGED_2007_atmospheric;
by DataSourceReferencelD DATE_REVISED;
run;
Proc Sort data=MERGE.nonfrm_2007_raw_final;
by Site_ID DATE_REVISED;
run;
Proc Sort data=FRM.frm_2007_final;
by Site_ID DATE_REVISED;
run;
data MERGED_2007_raw;
merge MERGE.nonfrm_2007_raw_final(in=inNonFRM)
FRM.frm_2007_final(in=inFRM);
by Site_ID DATE_REVISED;
G65
-------
if inNonFRM and inFRM;
run;
data MERGED_2007_raw;
set MERGED_2007_raw;
run;
Proc sort data = MERGED_2007_raw out = FINAL.MERGED_2007_raw;
by DataSourceReferencelD DATE_REVISED;
run;
Proc Sort data=MERGE.nonfrm_2004_acceptable_final_R;
by Site_ID DATE_REVISED;
run;
Proc Sort data=FRM.frm_2004_final;
by Site_ID DATE_REVISED;
run;
data MERGED_2004_Acceptable;
merge MERGE.nonfrm_2004_acceptable_final_R(in=inNonFRM)
FRM.frm_2004_final(in=inFRM);
by Site_ID DATE_REVISED;
if inNonFRM and inFRM;
run;
data MERGED_2004_Acceptable;
set MERGED_2004_Acceptable;
run;
Proc sort data = MERGED_2004_Acceptable out = FINAL.MERGED_2004_Acceptable;
by DataSourceReferencelD DATE_REVISED;
run;
Proc Sort data=MERGE.nonfrm_2004_raw_final_R;
by Site_ID DATE_REVISED;
run;
Proc Sort data=FRM.frm_2004_final;
by Site_ID DATE_REVISED;
run;
data MERGED_2004_raw;
merge MERGE.nonfrm_2004_raw_final_R(in=inNonFRM)
FRM.frm_2004_final(in=inFRM);
by Site_ID DATE_REVISED;
if inNonFRM and inFRM;
run;
data MERGED_2004_raw;
set MERGED_2004_raw;
run;
Proc sort data = MERGED_2004_raw out = FINAL.MERGED_2004_raw;
by DataSourceReferencelD DATE_REVISED;
run;
*************************************************************************
*************.
G66
-------
Programl3_FRM_NonFRM_change_names
This program modifies some variable names in the merged data sets to better reflect a variable's
meaning.
************************* PROGRAM NUMBER 13 *****************;
********************************************************************
Input File : MERGED_YYYY_PARAMETER
Output File: MERGED_YYYY_PARAMETER, where YYYY is a year 2004 - 2007
and PARAMETER is acceptable, atmospheric, or raw.
This program changes variable names to better reflect a variable's
meaning.
Note: Please review "Data Set/Document Descriptions (ToReport_1215)"
for variable descriptions.
********************************************************************
libname FINAL 'J:\EMD_II\WA_333_FRM_vs_FEM\Non-FRM
Data\REVISED\MERGE\MERGE_FINAL';
data FINAL.merged_2004_acceptable; set FINAL.merged_2004_acceptable;
SC_Mean_NonFRM = CorrectedValue_NonFRM;
n_HRS_NonFRM = n_NonFRM;
Mean_FRM = CorrectedValue_FRM;
Num_POCs_FRM = nPOC_FRM;
Date = DATE_REVISED;
format Date yymmddlO.;
drop CorrectedValue_NonFRM n_NonFRM CorrectedValue_FRM nPOC_FRM
DATE_REVISED;
run;
data FINAL.merged_2004_atmospheric; set FINAL.merged_2004_atmospheric;
SC_Mean_NonFRM = CorrectedValue_NonFRM;
n_HRS_NonFRM = n_NonFRM;
Mean_FRM = CorrectedValue_FRM;
Num_POCs_FRM = nPOC_FRM;
Date = DATE_REVISED;
format Date yymmddlO.;
drop CorrectedValue_NonFRM n_NonFRM CorrectedValue_FRM nPOC_FRM
DATE_REVISED;
run;
data FINAL.merged_2004_raw; set FINAL.merged_2004_raw;
SC_Mean_NonFRM = CorrectedValue_NonFRM;
n_HRS_NonFRM = n_NonFRM;
Mean_FRM = CorrectedValue_FRM;
Num_POCs_FRM = nPOC_FRM;
Date = DATE_REVISED;
format Date yymmddlO.;
drop CorrectedValue_NonFRM n_NonFRM CorrectedValue_FRM nPOC_FRM
DATE_REVISED;
G67
-------
run;
data FINAL.merged_2005_acceptable; set FINAL.merged_2005_acceptable;
SC_Mean_NonFRM = CorrectedValue_NonFRM;
n_HRS_NonFRM = n_NonFRM;
Mean_FRM = CorrectedValue_FRM;
Num_POCs_FRM = nPOC_FRM;
Date = DATE_REVISED;
format Date yymmddlO.;
drop CorrectedValue_NonFRM n_NonFRM CorrectedValue_FRM nPOC_FRM
DATE_REVISED;
run;
data FINAL.merged_2005_atmospheric; set FINAL.merged_2005_atmospheric;
SC_Mean_NonFRM = CorrectedValue_NonFRM;
n_HRS_NonFRM = n_NonFRM;
Mean_FRM = CorrectedValue_FRM;
Num_POCs_FRM = nPOC_FRM;
Date = DATE_REVISED;
format Date yymmddlO.;
drop CorrectedValue_NonFRM n_NonFRM CorrectedValue_FRM nPOC_FRM
DATE_REVISED;
run;
data FINAL.merged_2005_raw; set FINAL.merged_2005_raw;
SC_Mean_NonFRM = CorrectedValue_NonFRM;
n_HRS_NonFRM = n_NonFRM;
Mean_FRM = CorrectedValue_FRM;
Num_POCs_FRM = nPOC_FRM;
Date = DATE_REVISED;
format Date yymmddlO.;
drop CorrectedValue_NonFRM n_NonFRM CorrectedValue_FRM nPOC_FRM
DATE_REVISED;
run;
data FINAL.merged_2006_acceptable; set FINAL.merged_2006_acceptable;
SC_Mean_NonFRM = CorrectedValue_NonFRM;
n_HRS_NonFRM = n_NonFRM;
Mean_FRM = CorrectedValue_FRM;
Num_POCs_FRM = nPOC_FRM;
Date = DATE_REVISED;
format Date yymmddlO.;
drop CorrectedValue_NonFRM n_NonFRM CorrectedValue_FRM nPOC_FRM
DATE_REVISED;
run;
data FINAL.merged_2006_atmospheric; set FINAL.merged_2006_atmospheric;
SC_Mean_NonFRM = CorrectedValue_NonFRM;
n_HRS_NonFRM = n_NonFRM;
Mean_FRM = CorrectedValue_FRM;
Num_POCs_FRM = nPOC_FRM;
Date = DATE_REVISED;
format Date yymmddlO.;
drop CorrectedValue_NonFRM n_NonFRM CorrectedValue_FRM nPOC_FRM
DATE_REVISED;
G68
-------
run;
data FINAL.merged_2006_raw; set FINAL.merged_2006_raw;
SC_Mean_NonFRM = CorrectedValue_NonFRM;
n_HRS_NonFRM = n_NonFRM;
Mean_FRM = CorrectedValue_FRM;
Num_POCs_FRM = nPOC_FRM;
Date = DATE_REVISED;
format Date yymmddlO.;
drop CorrectedValue_NonFRM n_NonFRM CorrectedValue_FRM nPOC_FRM
DATE_REVISED;
run;
data FINAL.merged_2007_acceptable; set FINAL.merged_2007_acceptable;
SC_Mean_NonFRM = CorrectedValue_NonFRM;
n_HRS_NonFRM = n_NonFRM;
Mean_FRM = CorrectedValue_FRM;
Num_POCs_FRM = nPOC_FRM;
Date = DATE_REVISED;
format Date yymmddlO.;
drop CorrectedValue_NonFRM n_NonFRM CorrectedValue_FRM nPOC_FRM
DATE_REVISED;
run;
data FINAL.merged_2007_atmospheric; set FINAL.merged_2007_atmospheric;
SC_Mean_NonFRM = CorrectedValue_NonFRM;
n_HRS_NonFRM = n_NonFRM;
Mean_FRM = CorrectedValue_FRM;
Num_POCs_FRM = nPOC_FRM;
Date = DATE_REVISED;
format Date yymmddlO.;
drop CorrectedValue_NonFRM n_NonFRM CorrectedValue_FRM nPOC_FRM
DATE_REVISED;
run;
data FINAL.merged_2007_raw; set FINAL.merged_2007_raw;
SC_Mean_NonFRM = CorrectedValue_NonFRM;
n_HRS_NonFRM = n_NonFRM;
Mean_FRM = CorrectedValue_FRM;
Num_POCs_FRM = nPOC_FRM;
Date = DATE_REVISED;
format Date yymmddlO.;
drop CorrectedValue_NonFRM n_NonFRM CorrectedValue_FRM nPOC_FRM
DATE_REVISED;
run;
G69
-------
Programl3-lQA_after_Programl3_List_DataSourceReferenceID
This program lists all sites identified by the SAS variable DataSourceReferencelD.
******************** Program Number 13.1 -- QA ******************.
*****************************************************************************
*****
This program lists all Data Source Reference IDs for each merged data set.
SAS Output File: ProcSQL_DataSourceReferenceID.1st
*****************************************************************************
***** .
libname FINAL "J:\EMD_II\WA_333_FRM_vs_FEM\Non-FRM
Data\REVISED\MERGE\MERGE_FINAL";
*********************************************************************.
proc sql;
title 'List of Data Source Reference IDs: merged_2004_acceptable';
select distinct DataSourceReferencelD, COUNT(distinct
DataSourceReferencelD) as Num_DataSourceReferenceID
from FINAL.merged_2004_acceptable;
proc sql;
title 'List of Data Source Reference IDs: merged_2004_atmospheric';
select distinct DataSourceReferencelD, COUNT(distinct
DataSourceReferencelD) as Num_DataSourceReferenceID
from FINAL.merged_2004_atmospheric;
proc sql;
title 'List of Data Source Reference IDs: merged_2004_raw';
select distinct DataSourceReferencelD, COUNT(distinct
DataSourceReferencelD) as Num_DataSourceReferenceID
from FINAL.merged_2004_raw;
*********************************************************************.
i
proc sql;
title 'List of Data Source Reference IDs: merged_2005_acceptable';
select distinct DataSourceReferencelD, COUNT(distinct
DataSourceReferencelD) as Num_DataSourceReferenceID
from FINAL.merged_2005_acceptable;
proc sql;
title 'List of Data Source Reference IDs: merged_2005_atmospheric';
select distinct DataSourceReferencelD, COUNT(distinct
DataSourceReferencelD) as Num_DataSourceReferenceID
from FINAL.merged_2005_atmospheric;
proc sql;
title 'List of Data Source Reference IDs: merged_2005_raw';
select distinct DataSourceReferencelD, COUNT(distinct
DataSourceReferencelD) as Num_DataSourceReferenceID
from FINAL.merged_2005_raw;
*********************************************************************.
i
proc sql;
title 'List of Data Source Reference IDs: merged_2006_acceptable';
select distinct DataSourceReferencelD, COUNT(distinct
DataSourceReferencelD) as Num_DataSourceReferenceID
from FINAL.merged_2006_acceptable;
G70
-------
proc sql;
title 'List of Data Source Reference IDs: merged_2006_atmospheric';
select distinct DataSourceReferencelD, COUNT(distinct
DataSourceReferencelD) as Num_DataSourceReferenceID
from FINAL.merged_2006_atmospheric;
proc sql;
title 'List of Data Source Reference IDs: merged_2006_raw';
select distinct DataSourceReferencelD, COUNT(distinct
DataSourceReferencelD) as Num_DataSourceReferenceID
from FINAL.merged_2006_raw;
*********************************************************************.
i
proc sql;
title 'List of Data Source Reference IDs: merged_2007_acceptable';
select distinct DataSourceReferencelD, COUNT(distinct
DataSourceReferencelD) as Num_DataSourceReferenceID
from FINAL.merged_2007_acceptable;
proc sql;
title 'List of Data Source Reference IDs: merged_2007_atmospheric';
select distinct DataSourceReferencelD, COUNT(distinct
DataSourceReferencelD) as Num_DataSourceReferenceID
from FINAL.merged_2007_atmospheric;
proc sql;
title 'List of Data Source Reference IDs: merged_2007_raw';
select distinct DataSourceReferencelD, COUNT(distinct
DataSourceReferencelD) as Num_DataSourceReferenceID
from FINAL.merged_2007_raw;
quit;
G71
-------
Programl3-2QA_after_Programl3_List_Poc_Duplicates
This program lists all sites with multiple POCs identified by the SAS variable
DataSourceReferencelD.
***************************** Procrram Number 13 2 QA *****************
*****************************************************************************
***************
This program lists Site IDs that have multiple DataSourceReferencelDs
(multiple POCs)
for each merged data set.
SAS Output File: ProcSQL_PocDuplicates.1st
*****************************************************************************
*************** .
libname FINAL "J:\EMD_II\WA_333_FRM_vs_FEM\Non-FRM
Data\REVISED\MERGE\MERGE_FINAL";
*****************************************************************************
*** .
i
proc sort data = FINAL.merged_2004_acceptable out = merged_2004_acceptable_S;
by date_REVISED site_ID DataSourceReferencelD;
run;
data merged_2004_acceptable_Dup; set merged_2004_acceptable_S;
by date_REVISED site_ID DataSourceReferencelD;
if first.site_ID and last.site_ID then delete;
run;
proc sql;
title 'List of Site with POC Duplicates: merged_2004_acceptable';
select distinct site_ID, COUNT(distinct site_ID) as Num_Site
from merged_2004_acceptable_Dup;
quit;
proc sort data = FINAL.merged_2004_atmospheric out =
merged_2004_atmospheric_S;
by date_REVISED site_ID DataSourceReferencelD;
run;
data merged_2004_atmospheric_Dup; set merged_2004_atmospheric_S;
by date_REVISED site_ID DataSourceReferencelD;
if first.site_ID and last.site_ID then delete;
run;
proc sql;
title 'List of Site with POC Duplicates: merged_2004_atmospheric';
select distinct site_ID, COUNT(distinct site_ID) as Num_Site
from merged_2004_atmospheric_Dup;
quit;
proc sort data = FINAL.merged_2004_raw out = merged_2004_raw_S;
by date_REVISED site_ID DataSourceReferencelD;
run;
data merged_2004_raw_Dup; set merged_2004_raw_S;
by date_REVISED site_ID DataSourceReferencelD;
G72
-------
if first.site_ID and last.site_ID then delete;
run;
proc sql;
title 'List of Site with POC Duplicates: merged_2004_raw';
select distinct site_ID, COUNT(distinct site_ID) as Num_Site
from merged_2004_raw_Dup;
quit;
*** .
proc sort data = FINAL.merged_2005_acceptable out = merged_2005_acceptable_S;
by date_REVISED site_ID DataSourceReferencelD;
run;
data merged_2005_acceptable_Dup; set merged_2005_acceptable_S;
by date_REVISED site_ID DataSourceReferencelD;
if first.site_ID and last.site_ID then delete;
run;
proc sql;
title 'List of Site with POC Duplicates: merged_2005_acceptable' ;
select distinct site_ID, COUNT(distinct site_ID) as Num_Site
from merged_2005_acceptable_Dup;
quit;
proc sort data = FINAL.merged_2005_atmospheric out =
merged_2005_atmospheric_S;
by date_REVISED site_ID DataSourceReferencelD;
run;
data merged_2005_atmospheric_Dup; set merged_2005_atmospheric_S;
by date_REVISED site_ID DataSourceReferencelD;
if first.site_ID and last.site_ID then delete;
run;
proc sql;
title 'List of Site with POC Duplicates: merged_2005_atmospheric';
select distinct site_ID, COUNT(distinct site_ID) as Num_Site
from merged_2005_atmospheric_Dup;
quit;
proc sort data = FINAL.merged_2005_raw out = merged_2005_raw_S;
by date_REVISED site_ID DataSourceReferencelD;
run;
data merged_2005_raw_Dup; set merged_2005_raw_S;
by date_REVISED site_ID DataSourceReferencelD;
if first.site_ID and last.site_ID then delete;
run;
proc sql;
title 'List of Site with POC Duplicates: merged_2005_raw';
select distinct site_ID, COUNT(distinct site_ID) as Num_Site
from merged_2005_raw_Dup;
quit;
***********************************************************
*** .
I
proc sort data = FINAL.merged_2006_acceptable out = merged_2006_acceptable_S;
G73
-------
by date_REVISED site_ID DataSourceReferencelD;
run;
data merged_2006_acceptable_Dup; set merged_2006_acceptable_S;
by date_REVISED site_ID DataSourceReferencelD;
if first.site_ID and last.site_ID then delete;
run;
proc sql;
title 'List of Site with POC Duplicates: merged_2006_acceptable' ;
select distinct site_ID, COUNT(distinct site_ID) as Num_Site
from merged_2006_acceptable_Dup;
quit;
proc sort data = FINAL.merged_2006_atmospheric out =
merged_2006_atmospheric_S;
by date_REVISED site_ID DataSourceReferencelD;
run;
data merged_2006_atmospheric_Dup; set merged_2006_atmospheric_S;
by date_REVISED site_ID DataSourceReferencelD;
if first.site_ID and last.site_ID then delete;
run;
proc sql;
title 'List of Site with POC Duplicates: merged_2006_atmospheric';
select distinct site_ID, COUNT(distinct site_ID) as Num_Site
from merged_2006_atmospheric_Dup;
quit;
proc sort data = FINAL.merged_2006_raw out = merged_2006_raw_S;
by date_REVISED site_ID DataSourceReferencelD;
run;
data merged_2006_raw_Dup; set merged_2006_raw_S;
by date_REVISED site_ID DataSourceReferencelD;
if first.site_ID and last.site_ID then delete;
run;
proc sql;
title 'List of Site with POC Duplicates: merged_2006_raw';
select distinct site_ID, COUNT(distinct site_ID) as Num_Site
from merged_2006_raw_Dup;
quit;
proc sort data = FINAL.merged_2007_acceptable out = merged_2007_acceptable_S;
by date_REVISED site_ID DataSourceReferencelD;
run;
data merged_2007_acceptable_Dup; set merged_2007_acceptable_S;
by date_REVISED site_ID DataSourceReferencelD;
if first.site_ID and last.site_ID then delete;
run;
proc sql;
title 'List of Site with POC Duplicates: merged_2007_acceptable';
select distinct site_ID, COUNT(distinct site_ID) as Num_Site
from merged_2007_acceptable_Dup;
quit;
G74
-------
proc sort data = FINAL.merged_2007_atmospheric out =
merged_2007_atmospheric_S;
by date_REVISED site_ID DataSourceReferencelD;
run;
data merged_2007_atmospheric_Dup; set merged_2007_atmospheric_S;
by date_REVISED site_ID DataSourceReferencelD;
if first.site_ID and last.site_ID then delete;
run;
proc sql;
title 'List of Site with POC Duplicates: merged_2007_atmospheric';
select distinct site_ID, COUNT(distinct site_ID) as Num_Site
from merged_2007_atmospheric_Dup;
quit;
proc sort data = FINAL.merged_2007_raw out = merged_2007_raw_S;
by date_REVISED site_ID DataSourceReferencelD;
run;
data merged_2007_raw_Dup; set merged_2007_raw_S;
by date_REVISED site_ID DataSourceReferencelD;
if first.site_ID and last.site_ID then delete;
run;
proc sql;
title 'List of Site with POC Duplicates: merged_2007_raw';
select distinct site_ID, COUNT(distinct site_ID) as Num_Site
from merged_2007_raw_Dup;
quit;
G75
-------
Programl3-3QA_after_Programl3_List_Site_IDs
This program lists all sites as identified by the SAS variable Site_ID.
******************* Procrram Number 13 3 QA *******************
***********************************************************
This program lists all Site IDs for each merged data set.
SAS Output File: ProcSQL_SiteID.1st
***********************************************************.
libname FINAL "J:\EMD_II\WA_333_FRM_vs_FEM\Non-FRM
Data\REVISED\MERGE\MERGE_FINAL";
*********************************************************************
proc sql;
title 'List of Site ID: merged_2004_acceptable';
select distinct Site_ID, COUNT(distinct Site_ID) as Num_SiteID
from FINAL.merged_2004_acceptable;
proc sql;
title 'List of Site ID: merged_2004_atmospheric';
select distinct Site_ID, COUNT(distinct Site_ID) as Num_SiteID
from FINAL.merged_2004_atmospheric;
proc sql;
title 'List of Site ID: merged_2004_raw';
select distinct Site_ID, COUNT(distinct Site_ID) as Num_SiteID
from FINAL.merged_2004_raw;
*********************************************************************
i
proc sql;
title 'List of Site ID: merged_2005_acceptable';
select distinct Site_ID, COUNT(distinct Site_ID) as Num_SiteID
from FINAL.merged_2005_acceptable;
proc sql;
title 'List of Site ID: merged_2005_atmospheric';
select distinct Site_ID, COUNT(distinct Site_ID) as Num_SiteID
from FINAL.merged_2005_atmospheric;
proc sql;
title 'List of Site ID: merged_2005_raw';
select distinct Site_ID, COUNT(distinct Site_ID) as Num_SiteID
from FINAL.merged_2005_raw;
proc sql;
title 'List of Site ID: merged_2006_acceptable';
select distinct Site_ID, COUNT(distinct Site_ID) as Num_SiteID
from FINAL.merged_2006_acceptable;
proc sql;
title 'List of Site ID: merged_2006_atmospheric';
select distinct Site_ID, COUNT(distinct Site_ID) as Num_SiteID
from FINAL.merged_2006_atmospheric;
G76
-------
proc sql;
title 'List of Site ID: merged_2006_raw';
select distinct Site_ID, COUNT(distinct Site_ID) as Num_SiteID
from FINAL.merged_2006_raw;
*********************************************************************
proc sql;
title 'List of Site ID: merged_2007_acceptable';
select distinct Site_ID, COUNT(distinct Site_ID) as Num_SiteID
from FINAL.merged_2007_acceptable;
proc sql;
title 'List of Site ID: merged_2007_atmospheric';
select distinct Site_ID, COUNT(distinct Site_ID) as Num_SiteID
from FINAL.merged_2007_atmospheric;
proc sql;
title 'List of Site ID: merged_2007_raw';
select distinct Site_ID, COUNT(distinct Site_ID) as Num_SiteID
from FINAL.merged_2007_raw;
quit;
G77
-------
Programl3-9QA_before_Programl4_data_counts
This program provides counts of the number of observations available in different categories
prior to developing the predictive equations.
Procrram Number 13 9 __ QA
***************.
******* This program simply provides observation counts of the FRM/Non-FRM
*******
******* data sets prior to developing predictive equations. Counts are
generated ***
******* by state within data type and year and by state-year combination
within ****
******* data type, method, and region.
******* .
,
******* Note that the reference to the "maps" libname refers to the library
*******
******* that is part of the SAS GRAPH module.
******** .
libname in 'T:\mariko frm_nonfrm\toreport_1215\sas data sets\merged';
options nomprint;
proc sql noprint;
select statename,state into :statename separated by '#',
:statenum separated by '#'
from maps.us2;
quit;
%macro a(year,type);
%let t3 = %substr(&type,1,3);
data all&year&type;
set in.merged_&year._&type;
length state $20 season $2 stfips $2 type $12 region $13;
if sc_mean_nonfrm NE . and mean_frm NE . and n_hrs_nonfrm>=18;
if l<=month(date_revised)<=3 then season='Ql';
if 4<=month(date_revised)<=6 then season='Q2';
if 7<=month(date_revised)<=9 then season='Q3';
if 10<=month(date_revised)<=12 then season='Q4T;
stfips = substr(site_id,1,2);
stnum = stfips*!;
year = &year;
type = "&type";
select(stfips);
%do i=l %to 52;
%let stnum = %scan(&statenum,&i,#);
%if &stnum<10 %then %let stnum = O&stnum;
%let state = %scan(&statename,&i,#);
when("&stnum") state="&state";
%end;
otherwise put "no state for " stfips;
end;
if stnum in (9,10,11,18,23,24,25,26,33,34,36,39,42,44,50,54)
then region='Northeast';
G78
-------
else if stnum in (1,12,13,21,37,45,47,51)
then region='Southeast';
else if stnum in (17,19,20,27,29,31,38,46,55)
then region='North Central';
else if stnum in (5,22,28,40,48)
then region='South Central';
else if stnum in (16,30,41,53,56)
then region='Northwest';
else if stnum in (4,6,8,32,35,49)
then region='Southwest';
else region = 'Other';
rename methoddescription = method;
run;
/*
proc freq data=all&year&type noprint;
tables site_ID*method /out=sitecount_&year&t3;
run;
data count2_&year&t3;
set sitecount_&year&t3;
length state $20 stfips $2;
drop percent stfips;
stfips = substr(site_id,1,2);
select(stfips);
%do i=l %to 52;
%let stnum = %scan(&statenum,&i,#);
%if &stnum<10 %then %let stnum = O&stnum;
%let state = %scan(&statename,&i,#);
when("&stnum") state="&state";
%end;
otherwise put "no state for " stfips;
end;
run;
title "Number of site-method pairs by state, &year &type";
proc freq data=count2_&year&t3;
tables state;
run;
*/
%mend;
%a(2004,acceptable);
%a(2004,atmospheric);
%a(2004,raw)
%a(2005,acceptable) ;
%a(2005,atmospheric);
%a(2005,raw)
%a(2006,acceptable);
%a(2006,atmospheric);
%a(2006,raw)
%a(2007,acceptable);
%a(2007,atmospheric) ;
%a(2007,raw)
%macro join;
data all;
set al!2004acceptable al!2004atmospheric al!2004raw
G79
-------
al!2005acceptable al!2005atmospheric al!2005raw
al!2006acceptable al!2006atmospheric al!2006raw
al!2007acceptable al!2007atmospheric al!2007raw;
run;
proc sort data=all;
by type method region;
run;
title 'Valid site-day pairs by type, method, and region';
proc freq data=all;
by type method region;
tables state*year;
run;
%mend;
G80
-------
Programl4_variable_setup_summaries
''
Programl4_variable_setup_summaries
This program 'joins' the merged data sets across years, creates some new variables required for
an analysis, generates frequency counts and summary statistics, and calculates autocorrelation.
Procrram Number 14
*******************.
************* This program begins with the merged FRM/Non-FRM data sets,
*******
************* combines them across years, adds the variables region,
season, ***
************* state, county, and corrected variables to them, and saves
the ****
************* resulting files as permanent SAS data sets. The "corrected"
******
************* variable indicates whether AQS explicitly indicates that a
*******
************* correction was applied to the original hourly data.
******* .
************* The program also generates frequency counts and summary
*********
************* statistics by several categories and saves the results to
*********
************* permanent SAS data sets.
********* .
************* Autocorrelation is also calculated and saved in permanent
*********
************* SAS data sets.
********* .
,
************* The region and season designations were determined in
*********
************* collaboration with Eric Hall of EPA.
********* .
,
/*
NW Northwest Washington, Oregon, Idaho, Montana, Wyoming
NC North Central North Dakota, South Dakota, Nebraska, Kansas, Minnesota,
Iowa, Missouri,
Wisconsin, Illinois
NE Northeast Maine, New Hampshire, Vermont, Massachusetts, Rhode
Island, Connecticut,
New York, New Jersey, Pennsylvania, Maryland,
Delaware, D. C.,
West Virginia, Ohio, Michigan, Indiana
SW Southwest California, Nevada, Arizona, New Mexico, Utah, Colorado
SC South Central Texas, Oklahoma, Arkansas, Louisiana, Mississippi
SE Southeast Kentucky, Virginia, Tennessee, North Carolina, South
Carolina, Alabama,
Georgia, Florida.
*/
G81
-------
libname in "J:\emd_II\wa_333_FRM_vs_FEM\non-frm
data\revised\merge\merge_final";
libname out "J:\emd_II\wa_333_FRM_vs_FEM\non-frm
data\revised\merge\analysis";
/*
Notes for acc_a raw_a and atm_a data steps.
The set statement merges the acceptable data from the four years 2004-2007.
The IF statement deletes any non_FRM data with fewer than 18 hours on a given
day.
State and county are FIPS codes extracted from the site ID.
The seasons are meteorological, with winter being Dec, Jan, and Feb.
The other seasons are also 3 months each.
All of the method descriptions that were clearly corrected contained Tw/CT.
All clearly not corrected contained Tw/NT. Others were marked 'Unk' for
unknown.
The mapping from state to region is indicated near the top of the program
*/
data acc_a;
set in.merged_2004_acceptable in.merged_2005_acceptable
in.merged_2006_acceptable in.merged_2007_acceptable;
if n_hrs_nonFRM < 18 then delete;
state = substr(site_ID,1,2)*1;
county = substr(site_ID,3,3)*1;
length season $6 corrected $3 region $13;
month = month(date);
year = year(date);
if month in (12,1,2) then season="Winter";
if month in (3,4,5) then season="Spring";
if month in (6,7,8) then season="Summer";
if month in (9 ,10 ,11)then season="Autumn";
if index(MethodDescription,"w/C")>0 then corrected="Yes";
else if index(MethodDescription,"w/N")>0 then corrected="No";
else corrected="Unk";
rename SC_Mean_nonFRM = SC_Mean
MethodDescription = Method
Mean_FRM = FRM_Mean;
if state in (53,41,16,30,56) then region = "Northwest";
if state in (38,46,31,20,27,19,29,55,17) then region = "North Central";
if state in (23,33,50,25,44,9,36,34,42,24,10,11,54,39,26,18)
then region = "Northeast";
if state in (6,32,4,35,49,8) then region = "Southwest";
if state in (48,40,5,22,28) then region = "South Central";
if state in (21,51,47,37,45,1,13,12) then region = "Southeast";
run;
data raw_a;
set in.merged_2004_raw in.merged_2005_raw
in.merged_2006_raw in.merged_2007_raw;
if n_hrs_nonFRM < 18 then delete;
state = substr(site ID,1,2)*1;
G82
-------
if month in (3,4,5)
if month in (6,7,8)
county = substr(site_ID,3,3)*1;
length season $6 corrected $3 region $13;
month = month(date);
year = year(date);
if month in (12,1,2) then season="Winter";
then season="Spring";
then season="Summer";
if month in (9,10,11)then season="Autumn";
if index(MethodDescription,"w/C")>0 then corrected="Yes";
else if index(MethodDescription,"w/N")>0 then corrected="No";
else corrected="Unk";
rename SC_Mean_nonFRM = SC_Mean
MethodDescription = Method
Mean_FRM = FRM_Mean;
if state in (53,41,16,30,56) then region = "Northwest";
if state in (38,46,31,20,27,19,29,55,17) then region = "North Central'
if state in (23,33,50,25,44,9,36,34,42,24,10,11,54,39,26,18)
then region = "Northeast";
if state in (6,32,4,35,49,8) then region =
if state in (48,40,5,22,28) then region =
if state in (21,51,47,37,45,1,13,12) then region =
'Southwest";
'South Central'
'Southeast";
run;
if
if
if
if
month
month
month
month
in
in
in
in
(12
(3,
(6,
(9,
,
4
7
1
1
/
,
0
,2)
5)
8)
, 11
then
then
then
) then
data atm_a;
set in.merged_2004_atmospheric in.merged_2005_atmospheric
in.merged_2006_atmospheric in.merged_2007_atmospheric;
if n_hrs_nonFRM < 18 then delete;
state = substr(site_ID,1,2)*1;
county = substr(site_ID,3,3)*1;
length season $6 corrected $3 region $13;
month = month(date);
year = year(date);
season="Winter";
season="Spring";
season="Summer";
season="Autumn";
if index(MethodDescription,"w/C")>0 then corrected="Yes";
else if index(MethodDescription,"w/N")>0 then corrected=
else corrected="Unk";
rename SC_Mean_nonFRM = SC_Mean
MethodDescription = Method
Mean_FRM = FRM_Mean;
if state in (53,41,16,30,56)
if state in (38,46,31,20,27,19,29,55,17)
if state in (23,33,50,25,44,9,36,34,42,24
then region = "Northeast";
if state in (6,32,4,35,49,8) then region =
if state in (48,40,5,22,28) then region =
if state in (21,51,47,37,45,1,13,12) then region =
run;
'No'
then
then
10,11,54,39,26,18)
region =
region =
Northwest";
North Central'
Southwest";
South Central'
Southeast";
/*
Notes for macro %a(t)
G83
-------
The macro argument 't' indicates the type of data (ace, raw, or atm).
The data are first sorted by state and county, and merged with a SAS library
data set
that contains the state and county names for each FIPS code.
The data are then re-sorted by Site_ID and date. Proc Freq is used to create
tables
of the methods, state FIPS, state names, region, and season, to give an
indication of
the coverage. The 'allyrs' data sets (one for each of the 3 types) are used
in the
regression program to relate the FRM and SC data.
Proc Arima is used to determine the amount of autocorrelation in the time
series for
each site. Values up to 7 observations apart are paired. These are checks
to see
whether the daily measurements are independent or not. None of the results
were large
enough for concern, although there was a small non-zero effect at short lags.
The next 3 sections produce separate output data sets for FRM and SX data,
giving
statistical summaries by season, state, and region, respectively. The final
section
produces summary statistics by site and year for the variables FRM_Mean and
SC_Mean.
Finally, two data sets of high values are created. The first reports any
site-year
with a mean concentration at or above 15 for either the FRM or SC data. The
second
data set reports site-days with either the FRM or SC data at or above 35.
*/
%macro a(t) ;
title "&t. data";
proc sort data=&t._a out=&t._b; by state county; run;
data &t._c;
merge &t._b(in=ina) maps.cntyname(keep=state county statename countynm);
by state county;
if ina;
run;
proc sort data=&t._c out=out.&t._allyrs; by site_ID date; run;
proc freq data=out.&t._allyrs;
tables method / out=out.&t._counts_method;
tables state / out=out.&t._counts_state;
tables statename / out=out.&t._counts_statename;
tables region /out=out.&t._counts_region;
tables season / out=out.&t._counts_season;
run;
proc arima data=out.&t._allyrs;
by site_ID;
identify var=FRM_Mean nlag=7 noprint outcov=out.&t._arima_FRM;
G84
-------
identify var=SC_mean nlag=7 noprint outcov=out.&t._arima_SC;
run;
quit;
* By season;
proc sort data=out,&t._allyrs out=&t._d; by season; run;
proc means data=&t._d n min p5 plO p25 p50 p75 p90 p95 p99 max mean Iclm
uclm;
by season;
var FRM_Mean;
output out=out.&t._means_season_FRM (drop=_TYPE_ _FREQ_)
n=n min=min p5=p5 plO=plO p25=p25 p50=p50
p75=p75 p90=p90 p95=p95 p99=p99 mean=mean lclm=lclm uclm=uclm;
run;
proc means data=&t._d n min p5 plO p25 p50 p75 p90 p95 p99 max mean Iclm
uclm;
by season;
var SC_Mean;
output out=out.&t._means_season_SC (drop=_TYPE_ _FREQ_)
n=n min=min p5=p5 plO=plO p25=p25 p50=p50
p75=p75 p90=p90 p95=p95 p99=p99 mean=mean lclm=lclm uclm=uclm;
run;
*By state;
proc sort data=out,&t._allyrs out=&t._e; by state; run;
proc means data=&t._e n min p5 plO p25 p50 p75 p90 p95 p99 max mean Iclm
uclm;
by state;
var FRM_Mean;
output out=out. &t._means_state_FRM (drop=_TYPE FREQ_)
n=n min=min p5=p5 plO=plO p25=p25 p50=p50
p75=p75 p90=p90 p95=p95 p99=p99 mean=mean lclm=lclm uclm=uclm;
run;
proc means data=&t._e n min p5 plO p25 p50 p75 p90 p95 p99 max mean Iclm
uclm;
by state;
var SC_Mean;
output out=out.&t._means_state_SC (drop=_TYPE FREQ_)
n=n min=min p5=p5 plO=plO p25=p25 p50=p50
p75=p75 p90=p90 p95=p95 p99=p99 mean=mean lclm=lclm uclm=uclm;
run;
*By region;
proc sort data=out.&t._allyrs out=&t._f; by region; run;
proc means data=&t._f n min p5 plO p25 p50 p75 p90 p95 p99 max mean Iclm
uclm;
by region;
var FRM_Mean;
output out=out.&t._means_region_FRM (drop=_TYPE FREQ_)
n=n min=min p5=p5 plO=plO p25=p25 p50=p50
p75=p75 p90=p90 p95=p95 p99=p99 mean=mean lclm=lclm uclm=uclm;
run;
proc means data=&t._f n min p5 plO p25 p50 p75 p90 p95 p99 max mean Iclm
uclm;
by region;
G85
-------
var SC_Mean;
output out=out.&t._means_region_SC (drop=_TYPE_ _FREQ_)
n=n min=min p5=p5 plO=plO p25=p25 p50=p50
p75=p75 p90=p90 p95=p95 p99=p99 mean=mean lclm=lclm uclm=uclm;
run;
* by site and year;
proc sort data=out.&t._allyrs out=&t._g; by site_ID year; run;
proc means data=&t._g n mean;
by site_ID year;
id state county region;
var FRM_Mean SC_Mean;
output out=out.&t._means_annual (drop=_TYPE FREQ_)
n=FRM_n SC_n mean=annual_FRM_mean annual_SC_mean;
run;
data out.&t._means_annual_high;
set out,&t._means_annual;
if annual_FRM_mean>=l§ or annual_SC_mean>=15;
run;
data out,&t._allyrs_high;
set out,&t._allyrs;
if FRM_mean>=35 or SC_mean>=35;
keep Site_ID state region season method county statename countynm sc_mean
frm_mean;
run;
%mend;
%a(ace) ;
%a(raw);
%a(atm);
G86
-------
Programl4-lQA_after_Programl4_Autocorrelation_check
This program examines the degree of autocorrelation present in the data. This is done to assess
whether this will be problematic in developing the predictive equations.
Number 14.1 -- QA
******************.
*****************************************************************************
*************
**** PROGRAM NAME=J:EMD_II/WA_333_FRM_VS_FEM/NON-FRM DATA/REVISED/MERGE/
****
**** /ANALYSIS/SAS_CODE/LAG1
****
********** TO DETERMINE WHETHER AUTOCORRELATION WILL BE A CONCERN IN THE
REGRESSIONS, **
********** THIS PROGRAM EXTRACTS AND PRINTS OUT LAG ONE AUTOCORRELATIONS
FROM THE ****
********** FRM DATA. L. SMITH
6-1-09 ****
*****************************************************************************
************* .
i
OPTIONS NODATE NONUMBER;
*************** READ IN AUTOCORRELATIONS FROM PREVIOUSLY CALCULATED SAS
FILES. ******
*************** ONLY LOOKING AT LAG ONE. PRINT OUT BY STATE. SEPARATE BY
ACCEPTABLE, ****
*************** ATMOSPHERIC AND RAW DATA FOR FRM. STORE EXTRACTED DATA IN
PERMANENT *****
*************** SAS DATA SETS.
***** .
LIBNAME TMP1 "J:\EMD_II\WA_333_FRM_VS_FEM\NON-FRM
DATA\REVISED\MERGE\ANALYSIS";
DATA TMP1.ACC_LAG1; SET TMP1.ACC_ARIMA_FRM;
IF LAG=1;
FIPS_ST=.; FIPS_ST=SUBSTR(SITE_ID,1,2);
STATE=FIPNAME(FIPS_ST);
PROC SORT DATA=TMP1.ACC_LAG1; BY STATE SITE_ID;
PROC PRINT DATA=TMP1.ACC_LAG1; BY STATE;
VAR SITE_ID N CORR;
TITLE "LAG ONE AUTOCORRELATIONS FROM ACCEPTABLE FRM DATA";
TITLE2 "N SUGGESTS WHETHER SAMPLING WAS DAILY OR EVERY THIRD DAY";
DATA TMP1.ATM_LAG1; SET TMP1.ATM_ARIMA_FRM;
IF LAG=1;
FIPS_ST=.; FIPS_ST=SUBSTR(SITE_ID,1,2);
STATE=FIPNAME(FIPS_ST);
PROC SORT DATA=TMP1.ATM_LAG1; BY STATE SITE_ID;
PROC PRINT DATA=TMP1.ATM_LAG1; BY STATE;
VAR SITE_ID N CORR;
TITLE "LAG ONE AUTOCORRELATIONS FROM ATMOSPHERIC FRM DATA";
TITLE2 "N SUGGESTS WHETHER SAMPLING WAS DAILY OR EVERY THIRD DAY";
DATA TMP1.RAW LAG1; SET TMP1.RAW ARIMA FRM;
G87
-------
IF LAG=1;
FIPS_ST=.; FIPS_ST=SUBSTR(SITE_ID,1,2);
STATE=FIPNAME(FIPS_ST);
PROC SORT DATA=TMP1.RAW_LAG1; BY STATE SITE_ID;
PROC PRINT DATA=TMP1.RAW_LAG1; BY STATE;
VAR SITE_ID N CORR;
TITLE "LAG ONE AUTOCORRELATIONS FROM RAW FRM DATA";
TITLE2 "N SUGGESTS WHETHER SAMPLING WAS DAILY OR EVERY THIRD DAY";
********* CALCULATE FRACTION OF TOTAL NUMBER OF OBSERVATIONS WITH LAG ONE
********
********* BETWEEN DIFFERENT LEVELS.
******** .
i
DATA ACC_BIG; SET TMP1.ACC_LAG1;
IF CORR >= .495 THEN LAG1_OVER_50="YES"; ELSE LAG1_OVER_50="NO";
IF CORR >= .595 THEN LAG1_OVER_60="YES"; ELSE LAG1_OVER_60="NO";
IF CORR >= .695 THEN LAG1_OVER_70="YES"; ELSE LAG1_OVER_70="NO";
IF CORR >= .795 THEN LAG1_OVER_80="YES"; ELSE LAG1_OVER_80="NO";
PROC FREQ DATA=ACC_BIG;
TABLES LAG1_OVER_50 LAG1_OVER_60 LAG1_OVER_70 LAG1_OVER_80;
WEIGHT N;
TITLE "FREQUENCY OF TOTAL OBSERVATIONS FROM SITES WITH LAG ONE
AUTOCORRELATION OVER GIVEN %";
TITLE2 "ACCEPTABLE DATA";
DATA ATM_BIG; SET TMP1.ATM_LAG1;
IF CORR >= .495 THEN LAG1_OVER_50="YES"; ELSE LAG1_OVER_50="NO";
IF CORR >= .595 THEN LAG1_OVER_60="YES"; ELSE LAG1_OVER_60="NO";
IF CORR >= .695 THEN LAG1_OVER_70="YES"; ELSE LAG1_OVER_70="NO";
IF CORR >= .795 THEN LAG1_OVER_80="YES"; ELSE LAG1_OVER_80="NO";
PROC FREQ DATA=ATM_BIG;
TABLES LAG1_OVER_50 LAG1_OVER_60 LAG1_OVER_70 LAG1_OVER_80;
WEIGHT N;
TITLE "FREQUENCY OF TOTAL OBSERVATIONS FROM SITES WITH LAG ONE
AUTOCORRELATION OVER GIVEN %";
TITLE2 "ATMOSPHERIC DATA";
DATA RAW_BIG; SET TMP1.RAW_LAG1;
IF CORR >= .495 THEN LAG1_OVER_50="YES"; ELSE LAG1_OVER_50="NO";
IF CORR >= .595 THEN LAG1_OVER_60="YES"; ELSE LAG1_OVER_60="NO";
IF CORR >= .695 THEN LAG1_OVER_70="YES"; ELSE LAG1_OVER_70="NO";
IF CORR >= .795 THEN LAG1_OVER_80="YES"; ELSE LAG1_OVER_80="NO";
PROC FREQ DATA=RAW_BIG;
TABLES LAG1_OVER_50 LAG1_OVER_60 LAG1_OVER_70 LAG1_OVER_80;
WEIGHT N;
TITLE "FREQUENCY OF TOTAL OBSERVATIONS FROM SITES WITH LAG ONE
AUTOCORRELATION OVER GIVEN %";
TITLE2 "RAW DATA";
RUN;
QUIT;
G88
-------
Programl4-2QA_after_Programl4_Frequency_check
This program simply checks the frequency of data for different explanatory variables, alone and
in combination.
P]TOQ]Tcim Nurnbsir 14 2 __ QA
********************.
*****************************************************************************
*************
**** PROGRAM NAME=J:/EMD_II/WA_333_FRM_VS_FEM/NON-FRM DATA/REVISED/
***
**** MERGE/ANALYSIS/SAS_CODE/FREQ_CHECK
***
**** THIS PROGRAM CHECKS THE FREQUENCY OF THE VARIOUS EXPLANATORY VARIABLES
USED IN ***
**** THE REGRESSIONS PREDICTING FRM VALUES FROM SEMI -CONTINUOUS DATA.
***
*****************************************************************************
************* .
LIBNAME REGS "J:\EMD_II\WA_333_FRM_VS_FEM\NON-FRM
DATA\REVISED\MERGE\ANALYSIS" ;
OPTIONS NODATE NONUMBER;
%MACRO FREQ_CHECK( TYPE, DATA) ;
DATA ONE; SET REGS . &TYPE ._ALLYRS ;
IF FRM_MEAN=. THEN DELETE;
RUN;
PROC FREQ DATA=ONE;
TABLES METHOD REGION STATENAME SEASON CORRECTED;
TABLES METHOD*REGION METHOD*SEASON METHOD*CORRECTED;
TITLE "FREQUENCY OF OBSERVATIONS FOR &DATA DATA";
RUN;
%MEND FREQ_CHECK;
%FREQ_CHECK(ACC , ACCEPTABLE )
%FREQ_ CHECK (ATM , ATMOSPHERIC)
% FREQ_ CHECK ( RAW , RAW )
QUIT;
G89
-------
Programl 5_assign_method_number
This program assigns a method number to each unique semi-continuous monitoring method.
Method numbers are required to track and maintain the distinct methods for the analysis.
******************************** PiroQiTcirn Name 15
**************************** .
i
*****************************************************************************
*************
***** PROGRAM NAME=J:/EMD_II/WA_333_FRM_VS_FEM/FRM_SC_COMP_METHNUM
*** ***
**** THIS PROGRAM ASSIGNS NUMBERS TO EACH UNIQUE SEMI-CONTINUOUS MONITORING
METHOD ***
**** AND STORES THEM IN THE PERMANENT SAS DATA SETS TO BE USED FOR THE
REGRESSION ***
**** ANALYSES. THIS IS DONE TO PREVENT SAS FROM COAGULATING THE METHODS IN
GLM. ***
**** (THE DEFAULT IN GLM IS TO COMBINE LEVELS OF CLASS VARIABLES BASED ONLY
ON THE ***
**** FIRST SIXTEEN CHARACTERS.)
***
**** CODED -- L. SMITH 06/2009
***
*****************************************************************************
************* .
libname STORED "J:\EMD_II\WA_333_FRM_vs_FEM\NON-FRM
DATA\REVISED\MERGE\ANALYSIS";
%Macro GIVE_NUM(dsn,type);
PROC SORT DATA=&DSN._ALLYRS; BY METHOD;
RUN;
DATA FIRST; SET &DSN._ALLYRS; BY METHOD;
IF FIRST.METHOD;
KEEP METHOD;
RUN;
DATA FIRST; SET FIRST; BY METHOD;
METHOD_NUM=_N_;
RUN;
PROC PRINT DATA=FIRST;
VAR METHOD_NUM METHOD;
TITLE "METHOD NUMBERING FOR SEMI-CONTINUOUS METHODS FOR &TYPE DATA";
RUN;
DATA &DSN._ALLYRS; MERGE &DSN._ALLYRS FIRST; BY METHOD;
RUN;
%MEND GIVEJSTUM;
%GIVE NUM(STORED.ACC,ACCEPTABLE)
G90
-------
%GIVE_NUM(STORED.ATM,ATMOSPHERIC)
% GIVE_NUM (STORED.RAW,RAW)
run;
quit;
G91
-------
Programl 6_FRM_on_SC_r egression
This program develops the predictive equations for the three data types analyzed (/'. e.,
acceptable, atmospheric, and raw). Residual analysis and cross-validation are also included here.
*************************** Program Number 16
************************** .
i
*****************************************************************************
*************
***** PROGRAM NAME=J:/EMD_II/WA_333_FRM_VS_FEM/FRM_SC_COMP_GLM
*** ***
**** THIS PROGRAM RUNS REGRESSIONS ON THE MERGED FRM AND SEMI -CONTINUOUS
PARTICULATE **
**** MATTER DATA FROM AQS . THE MACRO RUNS THE REGRESSION AND CONDUCTS
RESIDUAL AND **
**** CROSS-VALIDATION ANALYSES. OUTPUT DATA SETS ARE ALSO STORED THAT
CONTAIN THE ***
**** ORIGINAL DATA, PREDICTIONS, PARAMETER ESTIMATES WITH CONFIDENCE
INTERVALS, AND ***
**** DIAGNOSTIC STATISTICS.
***
**** THE MACRO CODE IS RUN SEPARATELY FOR THE ACCEPTABLE, ATMOSPHERIC, AND
RAW AQS ***
* * * * DATA .
*** .
**** IN CONDUCTING THE ANALYSES, LSMEANS WERE ORIGINALLY SPECIFIED FOR
CHECKING ***
**** DIFFERENCES BETWEEN THE CLASSIFICATION LEVELS. HOWEVER, ALL LSMEANS
WERE FOUND ***
**** TO BE NON- ESTIMABLE. THEREFORE, THE CODE UTILIZES THE MEANS STATEMENT.
***
**** IN ADDITION, EACH DATA TYPE WAS RUN WITH THE INTERCEPT (INT) INCLUDED
IN THE ***
**** MODEL. FOR THE 'ACCEPTABLE' DATA, THE INTERCEPT WAS NONSIGNIFICANT.
THEREFORE, ***
**** IT IS RECOMMENDED THAT THE 'ACCEPTABLE' DATA BE RUN WITH THE 'NOINT'
OPTION. ***
**** THE MACRO CODE NEED ONLY BE CHANGED TO REPLACE 'INT' WITH 'NOINT' IN
THE MODEL ***
**** STATEMENT OPTIONS AND ADD _INT TO THE DATA SET NAME FOR THE OUTPUT
DATA SET (IF ***
**** DESIRED) .
***
**** CODED -- L. SMITH TYPED -- G. GLEN 06/2009
***
*****************************************************************************
************* .
i
libname out "J:\emd_II\wa_333_FRM_vs_FEM\non-frm
data\revised\merge\analysis" ;
%Macro f rm_reg (dsn, type) ;
proc glm data=&dsn ._allyrs ;
G92
-------
class method_NUM region statename season;
******* INTERCEPT FOUND TO BE NONSIGNIFICANT IN INITIAL RUNS FOR ACC
AND RAW. * * * *;
******* USE NOINT OPTION FOR THESE DATA TYPES.
**** .
i
model frm_mean = sc_mean method_NUM region statename(region) season
sc_mean*method_NUM sc_mean*region sc_mean*statename(region)
sc_mean*season / solution NOint clparm;
means method_NUM region statename(region) season / tukey cldiff;
output out=&dsn._frm_preds lcl=lower_95 ucl=upper_95 p=pred_frm
r=resid student=stud_res rstudent=rstud dffits=dffits h=lev;
title "FRM Regression"; title2 "&type";
run;
data diags;
set &dsn._frm_preds;
stddev_less_l = resid/(rstud*sqrt(1-lev));
pred_less_l = pred_frm-dffits*stddev_less_l*sqrt(lev);
std_pred_res = (frm_mean-pred_less_l)/stddev_less_l;
run;
proc univariate data=diags plots;
var std_pred_res;
output out=crossval n=n mean=mean uss=uss;
title "FRM cross-validation results: standardized prediction
residuals";
title2 "&type";
run;
data crossval;
set crossval;
rms = sqrt(uss/n);
run;
proc print data=crossval;
var mean rms;
title "Mean and root mean square of FRM standardized predicted
residuals";
title2 "&type";
run;
proc plot data=&dsn._frm_preds;
plot resid*(method_NUM region season pred_frm) /vref=0;
title "Residuals from FRM regression";
title2 "&type";
run;
proc sort data=&dsn._frm_preds;
by region statename;
run;
proc plot data=&dsn._frm_preds;
by region;
plot resid*statename /vref=0;
title "Residuals from FRM regression";
title2 "&type";
run;
proc univariate data=&dsn._frm_preds plots;
var stud_res;
G93
-------
histogram stud_res/normal;
title "Studentized residuals from FRM regression"
title2 "&type";
run;
%mend FRM_REG;
%*frm_reg(out.ace,Acceptable);
%*frm_reg(out.atm,Atmospheric);
%frm_reg(out.raw,Raw);
run;
quit;
G94
-------
Programl 6-1 QA_after_Programl 6_Residuals_check
This program provides further checking of residuals from the regression analysis.
*********************** Program Number 16.1 -- QA
********************* .
i
*****************************************************************************
*************
***** PROGRAM NAME=J:/EMD_II/WA_333_FRM_VS_FEM/NON-FRM
DATA/REVISED/MERGE/SAS_CODE/ ***
**** FRM_SC_COMP_RESIDUALS
***
**** THIS PROGRAM SIMPLY RUNS PROC UNIVARIATE ON THE RAW AND PERCENTAGE
RESIDUALS ***
**** FROM THE FRM VS. SEMI-CONTINUOUS GLM REGRESS ION/ANOVA. IT ALSO
GENERATES ***
**** BOXPLOTS OF THE RESIDUALS.
***
*****************************************************************************
************* .
i
GOPTIONS COLORS=BLACK;
LIBNAME STORE "J:\EMD_II\WA_333_FRM_vs_FEM\NON-FRM
DATA\REVISED\MERGE\ANALYSIS";
********** ACCEPTABLE DATA *******************.
DATA ACC_RES; SET STORE.ACC_FRM_PREDS;
RESID_PC=(RESID/FRM_MEAN)*100;
RUN;
PROC UNIVARIATE DATA=ACC_RES;
VAR RESID RESID_PC FRM_MEAN;
TITLE "RESIDUALS FROM FRM VS. SC REGRESSION -- ACCEPTABLE DATA";
RUN;
PROC SORT DATA=ACC_RES; BY FRM_MEAN;
PROC BOXPLOT DATA=ACC_RES;
PLOT (RESID RESID_PC)*FRM_MEAN / BOXSTYLE=SKELETAL CONTINUOUS HREF=0;
*PLOT (RESID RESID_PC)*REGION / BOXSTYLE=SKELETAL HREF=0;
TITLE "RESIDUALS FROM FRM VS. SC REGRESSION -- ACCEPTABLE DATA";
****************** ATMOSPHERIC DATA *****************
DATA ATM_RES; SET STORE.ATM_FRM_PREDS;
RESID_PC=(RESID/FRM_MEAN)*100;
RUN;
PROC UNIVARIATE DATA=ATM_RES;
VAR RESID RESID PC FRM MEAN;
G95
-------
TITLE "RESIDUALS FROM FRM VS. SC REGRESSION -- ATMOSPHERIC DATA";
RUN;
PROC SORT DATA=ATM_RES; BY FRMJYIEAN;
PROC BOXPLOT DATA=ATM_RES;
PLOT (RESID RESID_PC)*FRM_MEAN / BOXSTYLE=SKELETAL CONTINUOUS HREF=0;
*PLOT (RESID RESID_PC)*REGION / BOXSTYLE=SKELETAL HREF=0;
TITLE "RESIDUALS FROM FRM VS. SC REGRESSION -- ATMOSPHERIC DATA";
****************** RAW DATA ***************** .
DATA RAW_RES; SET STORE.RAW_FRM_PREDS;
RESID_PC=(RESID/FRM_MEAN)*100;
RUN;
PROC UNIVARIATE DATA=RAW_RES;
VAR RESID RESID_PC FRMJYIEAN;
TITLE "RESIDUALS FROM FRM VS. SC REGRESSION -- RAW DATA";
RUN;
PROC SORT DATA=RAW_RES; BY FRMJXIEAN;
PROC BOXPLOT DATA=RAW_RES;
PLOT (RESID RESID_PC)*FRM_MEAN / BOXSTYLE=SKELETAL CONTINUOUS HREF=0;
*PLOT (RESID RESID_PC)*REGION / BOXSTYLE=SKELETAL HREF=0;
TITLE "RESIDUALS FROM FRM VS. SC REGRESSION -- RAW DATA" ;
RUN;
QUIT;
G96
-------
Programl 6-9_before _Programl 7_locate_regional_sites
This program searches for sites which may be used to assess the performance of the predictive
models for specific (user-selected) geographic regions.
**************************** Procirarn 16 9 ***********************.
*****************************************************************************
*************
**** PROGRAM NAME=J:/EMD_II/WA_333_FRM_VS_FEM/NON-FRM DATA/REVISED/
MERGE/ANALYSIS/SAS_CODE/BALT_SITES
**** ***
**** THIS PROGRAM EXTRACTS SITES (COLOCATED SC/FRM) FROM MARYLAND, DC,
PENNSYLVANIA, **
**** AND VIRGINIA FOR POTENTIAL USE IN ASSESSING MODEL UTILITY IN THE
BALTIMORE AREA. **
**** DELAWARE AND NEW JERSEY ADDED LATER.
***
**** NEW YORK ADDED LATER.
***
*****************************************************************************
************* .
i
**** The CITY and COMMENT variables are only for general reference in
helping to ****
**** roughly describe the site locations.
**** .
r
LIBNAME TMP1 "J:\EMD_II\WA_333_FRM_VS_FEM\NON-FRM
DATA\REVISED\MERGE\ANALYSIS";
OPTIONS NODATE NONUMBER;
%MACRO BALT_SITES(TYPE,DATA);
DATA BALT_&TYPE; SET TMP1.&TYPE._ALLYRS;
IF STATE=36;
*IF STATE IN (11, 24, 42, 51,10,34);
PROC SORT DATA=BALT_&TYPE; BY SITE_ID;
DATA BALT_&TYPE; SET BALT_&TYPE; BY SITE_ID;
IF FIRST.SITE_ID;
LENGTH CITY $ 25 COMMENT $ 51; CITY=" "; COMMENT=" ";
IF COUNTYNM="DISTRICT OF COLUMBIA" THEN DO;
CITY="WASHINGTON, DC" ;
COMMENT="DC";
END;
IF COUNTYNM="BALTIMORE CITY" THEN DO;
CITY="BALTIMORE";
COMMENT="BALTIMORE";
END;
IF COUNTYNM="ALLEGHENY" THEN DO;
CITY="PITTSBURGH";
COMMENT="WESTERN PA";
END;
IF COUNTYNM="PHILADELPHIA" THEN DO;
CITY="PHILADELPHIA";
COMMENT="PHILADELPHIA";
END;
IF COUNTYNM="CECIL" THEN DO;
G97
-------
CITY="CHESTERTOWN";
COMMENT="ACROSS CHESAPEAKE BAY FROM BALTIMORE";
END;
IF COUNTYNM="PRINCE GEORGES" THEN DO;
CITY="GREENBELT";
COMMENT="ABUTS WASHINGTON, DC" ;
END;
IF COUNTYNM="WASHINGTON" AND STATENAME="Maryland" THEN DO;
CITY="HAGERSTOWN";
COMMENT="IN THE MARYLAND PANHANDLE";
END;
IF COUNTYNM="ADAMS" THEN DO;
CITY="GETTYSBURG";
COMMENT="BORDERS FREDERICK CO., MD";
END;
IF COUNTYNM="CAMBRIA" THEN DO;
CITY="JOHNSTOWN";
COMMENT="WESTERN PA" ;
END;
IF COUNTYNM="DAUPHIN" THEN DO;
CITY="HARRISBURG";
COMMENT="NORTH OF YORK, PA";
END;
IF COUNTYNM="DELAWARE" THEN DO;
CITY="BROOMALL";
COMMENT="BORDERS PHILADELPHIA AND DE";
END;
IF COUNTYNM="NORTHAMPTON" THEN DO;
CITY="BETHLEHEM";
COMMENT="NORTH OF PHILADELPHIA, BORDERS NJ";
END;
IF COUNTYNM="WASHINGTON" AND STATENAME="Pennsylvania" THEN DO;
CITY="WASHINGTON";
COMMENT="SW OF PITTSBURGH, BORDERS WV PANHANDLE";
END;
IF COUNTYNM="FAIRFAX" THEN DO;
CITY="FAIRFAX";
COMMENT="DC AREA";
END;
IF COUNTYNM="FREDERICK" THEN DO;
CITY="WINCHESTER";
COMMENT="NO. VA MOUNTAINS";
END;
IF COUNTYNM="HENRICO" THEN DO;
CITY="--";
COMMENT="NEAR RICHMOND";
END;
IF COUNTYNM="MADISON" THEN DO;
CITY="MADISON";
COMMENT="VA MOUNTAINS, SHENANDOAH NP";
END;
IF COUNTYNM="HAMPTON CITY" THEN DO;
CITY="HAMPTON";
COMMENT="SOUTH END OF CHESAPEAKE BAY";
END;
G98
-------
IF COUNTYNM="ROANOKE CITY" THEN DO;
CITY="ROANOKE";
COMMENT="WESTERN VA MOUNTAINS";
END;
IF COUNTYNM="BEAVER" THEN DO;
CITY="ALIQUIPPA";
COMMENT="WEST OF PITTSBURGH, BORDERS OH" ;
END;
IF COUNTYNM="BERKS" THEN DO;
CITY="READING";
COMMENT="NE OF LANCASTER";
END;
IF COUNTYNM="LANCASTER" THEN DO;
CITY="LANCASTER";
COMMENT="BORDERS YORK CO., PA AND CECIL CO., MD" ;
END;
IF COUNTYNM="MONTGOMERY" THEN DO;
CITY="NORRISTOWN";
COMMENT="BORDERS PHILADELPHIA";
END;
IF COUNTYNM="YORK" THEN DO;
CITY="YORK";
COMMENT="BORDERS BALTIMORE CO., MD";
END;
IF COUNTYNM="KENT" THEN DO;
CITY="DOVER";
COMMENT="MIDDLE DE";
END;
IF COUNTYNM="NEW CASTLE" THEN DO;
CITY="WILMINGTON";
COMMENT="NORTHERN DE";
END;
IF COUNTYNM="SUSSEX" THEN DO;
CITY="GEORGETOWN";
COMMENT="SOUTHERN DE";
END;
IF COUNTYNM="CAMDEN" THEN DO;
CITY="CAMDEN";
COMMENT="BORDERS PHILADELPHIA";
END;
IF COUNTYNM="MIDDLESEX" THEN DO;
CITY="NEW BRUNSWICK";
COMMENT="BORDERS RARITAN BAY, ACROSS FROM STATEN IS., NY";
END;
IF COUNTYNM="UNION" THEN DO;
CITY="ELIZABETH";
COMMENT="BORDERS NEWARK BAY, ACROSS FROM STATEN IS., NY";
END;
IF COUNTYNM="HUDSON" THEN DO;
CITY="JERSEY CITY";
COMMENT="BORDERS HUDSON RIVER, ACROSS FROM MANHATTAN IS., NY";
END;
IF COUNTYNM="ALBANY" THEN DO;
CITY="ALBANY";
G99
-------
COMMENT="NEAR MASSACHUSETTS";
END;
IF COUNTYNM="BRONX" THEN DO;
CITY="NEW YORK CITY";
COMMENT="ABOVE MANHATTAN IS . " ;
END;
IF COUNTYNM="ERIE" THEN DO;
CITY="BUFFALO";
COMMENT="BORDERS LAKE ERIE";
END;
IF COUNTYNM="ESSEX" THEN DO;
CITY="LAKE PLACID";
COMMENT="NORTHEASTERN NY, BORDERS LAKE CHAMPLAIN AND VT";
END;
IF COUNTYNM="MONROE" THEN DO;
CITY="ROCHESTER";
COMMENT="BORDERS LAKE ONTARIO";
END;
IF COUNTYNM="NEW YORK" THEN DO;
CITY="NEW YORK CITY";
COMMENT="MANHATTAN IS.";
END;
IF COUNTYNM="NIAGARA" THEN DO;
CITY="NIAGARA FALLS";
COMMENT="ABOVE BUFFALO, BORDERS LAKE ONTARIO";
END;
IF COUNTYNM="ORANGE" THEN DO;
CITY="WEST POINT";
COMMENT="BORDERS NORTHERN NJ AND EASTERN PA";
END;
IF COUNTYNM="QUEENS" THEN DO;
CITY="NEW YORK CITY";
COMMENT="ON LONG ISLAND, BEWTEEN BROOKLYN AND NASSAU COUNTY";
END;
IF COUNTYNM="STEUBEN" THEN DO;
CITY="CORNING";
COMMENT="WESTERN NY, BORDERS NORTHERN PA";
END;
PROC PRINT DATA=BALT_&TYPE;
VAR SITE_ID STATENAME COUNTYNM CITY COMMENT REGION ;
TITLE "BALTIMORE AREA POTENTIAL CHECK SITES -- &DATA";
%MEND BALT_SITES;
%BALT_SITES(ACC,ACCEPTABLE)
%BALT_SITES(ATM,ATMOSPHERIC)
%BALT_SITES(RAW,RAW)
RUN;
QUIT;
G100
-------
Programl 7 FRM SC Area check
This program checks the performance of the predictive equations for specific (user-selected)
geographic regions.
************************ PiroQirarn Nurnbsir 17 ***************************.
*****************************************************************************
*************
***** PROGRAM NAME=J:/EMD_II/WA_333_FRM_VS_FEM/NON-FRM
DATA/FRM_SC_COMP_CHECK ***
***
**** THIS PROGRAM CHECKS THE RESULTS OF THE FRM ON SEMI-CONTINUOUS
REGRESSIONS. ***
**** PREFORMANCE IS ASSESSED VIA PLOTS OF THE PREDICTED VALUES AND THEIR
UPPER AND ***
**** LOWER 95% CONFIDENCE LIMITS AGAINST THE FRM MEASUREMENTS.
***
**** IN ADDITION, PLOTS ARE GENERATED FOR SITES IN THE GENERAL REGION
AROUND * * *
**** BALTIMORE AND A "BALTIMORE SPECIFIC" R2 IS CALCULATED.
***
**** L. SMITH 06/2009
***
*****************************************************************************
************* .
LIBNAME REGS "J:\emd_II\wa_333_FRM_vs_FEM\non-frm
data\revised\merge\analysis";
LIBNAME MAPSITES
"J:\emd_II\wa_3 3 3_FRM_vs_FEM\non-frm
data\revised\merge\analysis\MAPPING_SITES";
/*
********** THE FOLLOWING MACRO PLOTS THE PREDICTED VALUES FOR ALL SITES
*********.
********** POINTS ARE SO NUMEROUS AND CLOSELY SPACED THAT IT'S NOT VERY
USEFUL ****;
%MACRO PLOT_PREDS(DSN,TYPE,SITES);
PROC PLOT DATA=&DSN._FRM_PREDS;
PLOT LOWER_95*FRM_MEAN="L" UPPER_95*FRM_MEAN="U" PRED_FRM*FRM_MEAN="P"
/ OVERLAY;
TITLE "PREDICTED FRM PM2.5 FROM SEMI-CONTINUOUS MONITORS";
TITLE2 "WITH UPPER AND LOWER 95% CONFIDENCE LIMITS FOR PREDICTED
VALUES";
TITLES "&TYPE -- &SITES SITES";
RUN;
%MEND PLOT_PREDS;
*/
*********** THE FOLLOWING MACRO SUBSETS THE REGRESSION RESULTS FOR A
PARTICULAR AREA *****;
%MACRO SUBSET_R2(DSN,AREA,TYPE);
DATA SUBSET; SET &DSN;
G101
-------
PROC UNIVARIATE DATA=SUBSET;
VAR RESID FRM_MEAN;
OUTPUT OUT=SUBSET_R2
USS=SSE SSFRM
CSS=RES_SS_C SST;
TITLE "RESIDUALS AND FRM VALUES IN THE &AREA";
TITLE2 "&TYPE DATA";
RUN;
DATA SUBSET_R2; SET SUBSET_R2;
R2=l - (SSE/SST);
PROC PRINT DATA=SUBSET_R2;
VAR R2;
TITLE "R2 CALCULATED ONLY FOR &AREA SITES";
TITLE2 "&TYPE DATA";
RUN;
%MEND SUBSET_R2;
********************* SUBSET BALTIMORE AREA ********************;
********* BEGIN WITH SETTING UP "LARGER" BALTIMORE AREA ***
********* __ EXTENDING TO NEWARK, ROANOKE, AND PITTSBURGH ***;
********* DELETE SITES REJECTED BY ERIC HALL FOR THIS CHECK
************* .
DATA BIGBALT_AREA_ACC; SET REGS.ACC_FRM_PREDS;
IF STATE IN (11, 24, 42, 51,10,34);
DATA BIGBALT_AREA_ATM; SET REGS.ATM_FRM_PREDS;
IF STATE IN (11, 24, 42, 51,10,34);
IF SITE_ID="420070014" THEN DELETE;
DATA BIGBALT_AREA_RAW; SET REGS.RAW_FRM_PREDS;
IF STATE IN (11, 24, 42, 51,10,34);
IF SITE_ID="420950025" THEN DELETE;
IF SITE_ID="421250005" THEN DELETE;
******* NOW SET UP "NEAR" AREA, CLOSER TO BALTIMORE *******
******* COVERING MARYLAND, DELAWARE, DC AREA, AND UP TO PHILADELPHIA. ****;
DATA NEARBALT_AREA_ACC; SET BIGBALT_AREA_ACC;
IF SITE_ID IN ("420030008","420030064","340171003","340230006",
"340390004","340392003") THEN DELETE;
DATA NEARBALT_AREA_ATM; SET BIGBALT_AREA_ATM;
IF SITE_ID IN ("340171003","340230006","340390004") THEN DELETE;
DATA NEARBALT_AREA_RAW; SET BIGBALT_AREA_RAW;
IF SITE_ID IN ("420030008","420030064","420210011","420430401",
"420450002","510690010","510870014","511130003","516500004","517700015",
"340230006","340390004" ) THEN DELETE;
**** SUBSET FOR BALTIMORE CITY ONLY **********;
**** THERE IS ONLY ONE BALTIMORE CITY SITE (COLOCATED SC/FRM) ******;
**** SAME SITE NUMBER FOR BOTH ACCEPTABLE AND RAW. NONE FOR ATMOSPHERIC
***** .
DATA BALT_CITY_ACC; SET REGS.ACC_FRM_PREDS;
IF SITE_ID="245100040";
DATA BALT CITY RAW; SET REGS.RAW FRM PREDS;
G102
-------
IF SITE_ID="245100040";
RUN;
********* EXTRACT NEW YORK STATE *************;
DATA NEW_YORK_ACC; SET REGS.ACC_FRM_PREDS;
IF STATE=36;
DATA NEW_YORK_ATM; SET REGS.ATM_FRM_PREDS;
IF STATE=36;
DATA NEW_YORK_RAW; SET REGS.RAW_FRM_PREDS;
IF STATE=36;
******* NOW COMBINE NEW YORK WITH LARGER BALTIMORE AREA TO FORM MID-ATLANTIC
**** .
i
DATA MID_ATLANTIC_ACC; SET BIGBALT_AREA_ACC NEW_YORK_ACC;
DATA MID_ATLANTIC_ATM; SET BIGBALT_AREA_ATM NEW_YORK_ATM;
DATA MID_ATLANTIC_RAW; SET BIGBALT_AREA_RAW NEW_YORK_RAW;
/*
%PLOT_PREDS(REGS.ACC,ACCEPTABLE,BALTIMORE AREA);
%PLOT_PREDS(REGS.ATM,ATMOSPHERIC,BALTIMORE AREA);
%PLOT_PREDS(REGS.RAW,RAW,BALTIMORE AREA);
%SUBSET_R2(BIGBALT_AREA_ACC,LARGER BALTIMORE AREA, ACCEPTABLE)
%SUBSET_R2(BIGBALT_AREA_ATM,LARGER BALTIMORE AREA, ATMOSPHERIC)
%SUBSET_R2(BIGBALT_AREA_RAW,LARGER BALTIMORE AREA, RAW)
%SUBSET_R2(NEARBALT_AREA_ACC,NEAR BALTIMORE AREA, ACCEPTABLE)
%SUBSET_R2(NEARBALT_AREA_ATM,NEAR BALTIMORE AREA, ATMOSPHERIC)
%SUBSET_R2(NEARBALT_AREA_RAW,NEAR BALTIMORE AREA, RAW)
%SUBSET_R2(BALT_CITY_ACC,BALTIMORE CITY,ACCEPTABLE)
%SUBSET_R2(BALT_CITY_RAW,BALTIMORE CITY,RAW)
*/
%SDBSET_J?2(MID_ATLANTIC_ACC,MID-ATLANTIC AREA, ACCEPTABLE)
%SDBSET_J?2(MID_ATLANTIC_ATM,MID-ATLANTIC AREA, ATMOSPHERIC)
%SDBSET_J?2(MID_ATLANTIC_RAW, MID -ATLANTIC AREA, RAW)
%SDBSET_J?2(NEW_YORK_ACC,NEW YORK STATE, ACCEPTABLE)
%SDBSET_J?2(NEW_YORK_ATM,NEW YORK STATE, ATMOSPHERIC)
%SUBSET J?2(NEW YORK RAW, NEW YORK STATE, RAW)
********* OUTPUT SITE IDS FOR USE IN SETTING UP PLOTS OF SITES VIA CIS
********** .
r
DATA MAPSITES.MID_ATLANTIC_ACC_SITES; SET MID_ATLANTIC_ACC(KEEP=SITE_ID);
PROC SORT DATA=MAPSITES.MID_ATLANTIC_ACC_SITES; BY SITE_ID;
DATA MAPSITES.MID_ATLANTIC_ACC_SITES; SET MAPSITES.MID_ATLANTIC_ACC_SITES;
BY SITE_ID;
IF FIRST.SITE_ID;
DATA MAPSITES.MID_ATLANTIC_ATM_SITES; SET MID_ATLANTIC_ATM(KEEP=SITE_ID);
PROC SORT DATA=MAPSITES.MID_ATLANTIC_ATM_SITES; BY SITE_ID;
DATA MAPSITES.MID_ATLANTIC_ATM_SITES; SET MAPSITES.MID_ATLANTIC_ATM_SITES;
BY SITE_ID;
IF FIRST.SITE_ID;
G103
-------
DATA MAPSITES.MID_ATLANTIC_RAW_SITES; SET MID_ATLANTIC_RAW(KEEP=SITE_ID);
PROC SORT DATA=MAPSITES.MID_ATLANTIC_RAW_SITES; BY SITE_ID;
DATA MAPSITES.MID_ATLANTIC_RAW_SITES; SET MAPSITES.MID_ATLANTIC_RAW_SITES;
BY SITE_ID;
IF FIRST.SITE_ID;
DATA MAPSITES.NEW_YORK_ACC_SITES; SET NEW_YORK_ACC(KEEP=SITE_ID);
PROC SORT DATA=MAPSITES.NEW_YORK_ACC_SITES; BY SITE_ID;
DATA MAPSITES.NEW_YORK_ACC_SITES; SET MAPSITES.NEW_YORK_ACC_SITES; BY
SITE_ID;
IF FIRST.SITE_ID;
DATA MAPSITES.NEW_YORK_ATM_SITES; SET NEW_YORK_ATM(KEEP=SITE_ID);
PROC SORT DATA=MAPSITES.NEW_YORK_ATM_SITES; BY SITE_ID;
DATA MAPSITES.NEW_YORK_ATM_SITES; SET MAPSITES.NEW_YORK_ATM_SITES; BY
SITE_ID;
IF FIRST.SITE_ID;
DATA MAPSITES.NEW_YORK_RAW_SITES; SET NEW_YORK_RAW(KEEP=SITE_ID);
PROC SORT DATA=MAPSITES.NEW_YORK_RAW_SITES; BY SITE_ID;
DATA MAPSITES.NEW_YORK_RAW_SITES; SET MAPSITES.NEW_YORK_RAW_SITES; BY
SITE_ID;
IF FIRST.SITE_ID;
DATA MAPSITES.BALT_CITY_ACC_SITES; SET BALT_CITY_ACC(KEEP=SITE_ID);
PROC SORT DATA=MAPSITES.BALT_CITY_ACC_SITES; BY SITE_ID;
DATA MAPSITES.BALT_CITY_ACC_SITES; SET MAPSITES.BALT_CITY_ACC_SITES; BY
SITE_ID;
IF FIRST.SITE_ID;
DATA MAPSITES.BALT_CITY_RAW_SITES; SET BALT_CITY_RAW(KEEP=SITE_ID);
PROC SORT DATA=MAPSITES.BALT_CITY_RAW_SITES; BY SITE_ID;
DATA MAPSITES.BALT_CITY_RAW_SITES; SET MAPSITES.BALT_CITY_RAW_SITES; BY
SITE_ID;
IF FIRST.SITE_ID;
DATA MAPSITES.NEARBALT_AREA_ACC_SITES; SET NEARBALT_AREA_ACC(KEEP=SITE_ID);
PROC SORT DATA=MAPSITES.NEARBALT_AREA_ACC_SITES; BY SITE_ID;
DATA MAPSITES.NEARBALT_AREA_ACC_SITES; SET
MAPSITES.NEARBALT_AREA_ACC_SITES; BY SITE_ID;
IF FIRST.SITE_ID;
DATA MAPSITES.NEARBALT_AREA_ATM_SITES; SET NEARBALT_AREA_ATM(KEEP=SITE_ID);
PROC SORT DATA=MAPSITES.NEARBALT_AREA_ATM_SITES; BY SITE_ID;
DATA MAPSITES.NEARBALT_AREA_ATM_SITES; SET
MAPSITES.NEARBALT_AREA_ATM_SITES; BY SITE_ID;
IF FIRST.SITE_ID;
DATA MAPSITES.NEARBALT_AREA_RAW_SITES; SET NEARBALT_AREA_RAW(KEEP=SITE_ID);
PROC SORT DATA=MAPSITES.NEARBALT_AREA_RAW_SITES; BY SITE_ID;
DATA MAPSITES.NEARBALT_AREA_RAW_SITES; SET
MAPSITES.NEARBALT_AREA_RAW_SITES; BY SITE_ID;
IF FIRST.SITE_ID;
DATA MAPSITES.BIGBALT_AREA_ACC_SITES; SET BIGBALT_AREA_ACC(KEEP=SITE_ID);
PROC SORT DATA=MAPSITES.BIGBALT_AREA_ACC_SITES; BY SITE_ID;
DATA MAPSITES.BIGBALT_AREA_ACC_SITES; SET MAPSITES.BIGBALT_AREA_ACC_SITES;
BY SITE_ID;
IF FIRST.SITE_ID;
DATA MAPSITES.BIGBALT AREA ATM SITES; SET BIGBALT AREA ATM(KEEP=SITE ID);
G104
-------
PROC SORT DATA=MAPSITES.BIGBALT_AREA_ATM_SITES; BY SITE_ID;
DATA MAPSITES.BIGBALT_AREA_ATM_SITES; SET MAPSITES.BIGBALT_AREA_ATM_SITES;
BY SITE_ID;
IF FIRST.SITE_ID;
DATA MAPSITES.BIGBALT_AREA_RAW_SITES; SET BIGBALT_AREA_RAW(KEEP=SITE_ID);
PROC SORT DATA=MAPSITES.BIGBALT_AREA_RAW_SITES; BY SITE_ID;
DATA MAPSITES.BIGBALT_AREA_RAW_SITES; SET MAPSITES.BIGBALT_AREA_RAW_SITES;
BY SITE_ID;
IF FIRST.SITE_ID;
RUN;
QUIT;
G105
-------
Programl8_standard_violation_check
This program checks the performance of the predictive equations with respect to days when
either the measured or predicted PM2.5 value exceed the National Ambient Air Quality Standard
(NAAQS) values.
**************************** Program Number 18 **************************
/* Violation.sas -
Analysis of violation days for both FRM and predicted.
The initial data step creates two data sets, one with FRM>=35
and the other with predicted>=35. Each record corresponds to
one violation day and has an indicator showing whether the
other PM level also exceeds 35 or not. Residuals plots are
also done.
*/
LIBNAME STORE "J:\EMD_II\WA_333_FRM_vs_FEM\NON-FRM
DATA\REVISED\MERGE\ANALYSIS";
%macro v(t);
data frm_high pred_high;
set store.&t._frm_preds;
if frm_mean=. then delete;
if frm_mean>=35 then do;
if pred_frm>=35 then predhi=l; else predhi=0;
output frm_high;
end;
if pred_frm>=35 then do;
if frm_mean>=35 then frmhi=l; else frmhi=0;
output pred_high;
end;
run;
title "&t FRM_high";
proc freq data=frm_high; tables predhi; run;
proc univariate data= frm_high; var resid; run;
proc gplot data=frm_high;
plot resid*frm_mean;
run; quit;
title "&t Pred_high";
proc freq data=pred_high; tables frmhi; run;
proc univariate data= pred_high; var resid; run;
proc gplot data=pred_high;
plot resid*pred_frm;
run; quit;
%mend;
%v(ACC)
%v(ATM)
%v(RAW)
G106
-------
Programl 9_histograms_ CDFs_summaries
This program generates CDFs and side-by-side histograms to compare both the measured and
predicted concentration values. In addition, data sets of summary statistics for different
conditions are also generated.
******************************* Pirooxcim Numfosir 19
**************************** .
I
*****************************************************************************
*************
**** THIS PROGRAM GENERATES CDFs AND SIDE BY SIDE HISTOGRAMS OF THE
MEASURED AND *****
**** PREDCITED FRM VALUES FOR DIFFERENT CASES. PERMANENT SAS DATA SETS ARE
ALSO *****
**** CREATED CONTAINING SUMMARY STATISTICS FOR DIFFERENT CASES.
*****
*****************************************************************************
************* .
*GOPTIONS COLORS=BLACK;
LIBNAME STORE "J:\EMD_II\WA_333_FRM_vs_FEM\NON-FRM
DATA\REVISED\MERGE\ANALYSIS";
%macro plotall(t);
options notes;
*** First do all data of this type;
data &t._plot;
set store.&t._frm_preds;
length type $10;
keep type frm region resid;
if frm_mean>. and pred_frm>.;
label frm='PM2.5 (ug/m3)';
type = 'FRM';
frm = frm_mean;
output;
type = 'Predicted';
frm = pred_frm;
output;
run;
title "&t PM2.5 data - observed and predicted";
proc univariate data=&t._plot noprint;
var frm;
class type;
histogram /nrows=l ncols=2 cfill=gray vaxis=0 5 10 15 20 25 30 35
midpoints=0 to 175 by 5;
run; quit;
proc univariate data=&t._plot noprint;
var frm;
class region type;
histogram /nrows=6 ncols=2 cfill=gray vaxis=0 5 10 15 20 25 30 35
midpoints=0 to 175 by 5;
run; quit;
G107
-------
data &t._obs &t._pred;
set &t._plot end=eof;
if type='FRMT then output &t._obs;
if type='Predicted' then output &t._pred;
if eof then call symput("&t._count",trim(left(_N_/2)));
run;
proc sort data=&t._obs; by frm; run;
proc sort data=&t._pred; by frm; run;
data &t._obs;
set &t._obs;
pctl = 100*_N_/(&&&t._count+l);
rename frm=frm_obs;
run;
data &t._pred;
set &t._pred;
pctl = 100*_N_/(&&&t._count+l);
rename frm=frm_pred;
run;
data &t._obs_tiny;
set &t._obs;
if frm_obs=35;
data &t._high;
set stores, &t ._frm_preds ;
length type $10;
keep type frm region resid;
if frm_mean>=35 and pred_frm>.;
label frm='PM2.5 (ug/m3)';
type = 'FRM';
frm = frm_mean;
output;
type = 'Predicted';
frm = pred_frm;
output;
run;
title "&t PM2.5 data with FRM>=35 : observed and predicted";
proc univariate data=&t._high noprint;
var frm;
class type;
G108
-------
histogram /nrows=l ncols=2 cfill=gray vaxis=0 5 10 15 20 25 30 35
midpoints=0 to 175 by 5;
run; quit;
proc univariate data=&t._high noprint;
var frm;
class region type;
histogram /nrows=6 ncols=2 cfill=gray vaxis=0 10 20 30 40 50 60
midpoints=0 to 175 by 5;
run; quit;
data &t._obs_high &t._pred_high;
set &t._high end=eof;
if type='FRMT then output &t._obs_high;
if type='Predicted' then output &t._pred_high;
if eof then call symput("&t._count",trim(left(_N_/2)));
run;
proc sort data=&t._obs_high; by frm; run;
proc sort data=&t._pred_high; by frm; run;
data &t._obs_high;
set &t._obs_high;
pctl = 100*_N_/(&&&t._count+l);
rename frm=frm_obs;
run;
data &t._pred_high;
set &t._pred_high;
pctl = 100*_N_/(&&&t._count+l);
rename frm=frm_pred;
run;
data &t._both_high;
merge &t._obs_high &t._pred_high;
by pctl;
label frm_obs = 'PM2.5 (ug/m3)';
run;
title "CDF for &t PM2.5 data with FRM>=35";
proc gplot data=&t._both_high;
plot pctl*frm_obs pctl*frm_pred /overlay haxis=0 to 100 by 10;
run; quit;
*** Finally, do days with FRM<35;
data &t._low;
set store,&t._frm_preds;
length type $10;
keep type frm region resid;
if ..;
label frm='PM2.5 (ug/m3)';
type = 'FRM';
frm = frm_mean;
output;
type = 'Predicted';
frm = pred_frm;
output;
run;
title "&t PM2.5 data with FRM<35 : observed and predicted";
G109
-------
proc univariate data=&t._low noprint;
var frm;
class type;
histogram /nrows=l ncols=2 cfill=gray vaxis=0 5 10 15 20 25 30 35
midpoints=D to 50 by 5;
run; quit;
proc univariate data=&t._low noprint;
var frm;
class region type;
histogram /nrows=6 ncols=2 cfill=gray vaxis=0 10 20 30 40 50 60
midpoints=0 to 50 by 5;
run; quit;
data &t._obs_low &t._pred_low;
set &t._low end=eof;
if type='FRMT then output &t._obs_low;
if type='Predicted' then output &t._pred_low;
if eof then call symput("&t._count",trim(left(_N_/2)));
run;
proc sort data=&t._obs_low; by frm; run;
proc sort data=&t._pred_low; by frm; run;
data &t._obs_low;
set &t._obs_low;
pctl = 100*_N_/(&&&t._count+l);
rename frm=frm_obs;
run;
data &t._pred_low;
set &t._pred_low;
pctl = 100*_N_/(&&&t._count + l) ;
rename frm=frm_pred;
run;
data &t._both_low;
merge &t._obs_low &t._pred_low;
by pctl;
label frm_obs = 'PM2.5 (ug/m3)';
run;
title "CDF for &t PM2.5 data with FRM<35";
proc gplot data=&t._both_low;
plot pctl*frm_obs pctl*frm_pred /overlay haxis=0 to 100 by 10;
run; quit;
*** Next do days with Pred>=35;
data &t._highp;
set store.&t._frm_preds;
length type $10;
keep type frm region resid;
if frm_mean>. and pred_frm>=35;
label frm='PM2.5 (ug/m3)';
type = 'FRM';
frm = frm_mean;
output;
type = 'Predicted';
frm = pred_frm;
output;
G110
-------
run;
title "&t PM2.5 data with Pred>=35 : observed and predicted";
proc univariate data=&t._highp noprint;
var frm;
class type;
histogram /nrows=l ncols=2 cfill=gray vaxis=0 5 10 15 20 25 30 35
midpoints=0 to 175 by 5;
run; quit;
proc univariate data=&t._highp noprint;
var frm;
class region type;
histogram /nrows=6 ncols=2 cfill=gray vaxis=0 10 20 30 40 50 60
midpoints=0 to 175 by 5;
run; quit;
data &t._obs_highp &t._pred_highp;
set &t._highp end=eof;
if type='FRMT then output &t._obs_highp;
if type='Predicted' then output &t._pred_highp;
if eof then call symput("&t._count",trim(left(_N_/2)));
run;
proc sort data=&t._obs_highp; by frm; run;
proc sort data=&t._pred_highp; by frm; run;
data &t._obs_highp;
set &t._obs_highp;
pctl = 100*_N_/(&&&t._count+l);
rename frm=frm_obs;
run;
data &t._pred_highp;
set &t._pred_highp;
pctl = 100*_N_/(&&&t._count+l);
rename frm=frm_pred;
run;
data &t._both_highp;
merge &t._obs_highp &t._pred_highp;
by pctl;
label frm_obs = 'PM2.5 (ug/m3)';
run;
title "CDF for &t PM2.5 data with Pred>=35";
proc gplot data=&t._both_highp;
plot pctl*frm_obs pctl*frm_pred /overlay haxis=0 to 100 by 10;
run; quit;
%mend;
/*
%plotall(ACC)
%plotall(ATM)
trplotall (RAW)
title "ATM PM2.5 residuals";
proc univariate data=store.ATM_frm_preds;
var resid;
run;
Gill
-------
title "RAW PM2.5 residuals";
proc univariate data=store.RAW_frm_preds;
var resid;
run;
*/
options notes;
%macro pet(t);
data &t;
set store.&t._frm_preds;
keep frm_mean sc_mean region method season statename;
if frm_mean>. and sc_mean>.;
run;
proc sort data=&t; by method; run;
proc univariate data=&t;
by method;
var frm_mean;
title "&t PM2.5 FRM data";
output out=store.&t._frm_method n=n min=min mean=mean max=max pctlpts=5 10
25 30 50 60 75 90 95 pctlpre=p;
run;
proc univariate data=&t;
by method;
var sc_mean;
title "&t PM2.5 SC data";
output out=store.&t._sc_method n=n min=min mean=mean max=max pctlpts=5 10
25 30 50 60 75 90 95 pctlpre=p;
run;
proc sort data=&t; by region; run;
proc univariate data=&t;
by region;
var frm_mean;
title "&t PM2.5 FRM data";
output out=store.&t._frm_region n=n min=min mean=mean max=max pctlpts=5 10
25 30 50 60 75 90 95 pctlpre=p;
run;
proc univariate data=&t;
by region;
var sc_mean;
title "&t PM2.5 SC data";
output out=store.&t._sc_region n=n min=min mean=mean max=max pctlpts=5 10
25 30 50 60 75 90 95 pctlpre=p;
run;
proc sort data=&t; by statename; run;
proc univariate data=&t;
by statename;
var frm_mean;
title "&t PM2.5 FRM data";
output out=store.&t._frm_state n=n min=min mean=mean max=max pctlpts=5 10
25 30 50 60 75 90 95 pctlpre=p;
run;
proc univariate data=&t;
by statename;
var sc_mean;
title "&t PM2.5 SC data";
G112
-------
output out=store.&t._sc_state n=n min=min mean=mean max=max pctlpts=5 10
25 30 50 60 75 90 95 pctlpre=p;
run;
proc sort data=&t; by season; run;
proc univariate data=&t;
by season;
var frm_mean;
title "&t PM2.5 FRM data";
output out=store.&t._frm_season n=n min=min mean=mean max=max pctlpts=5 10
25 30 50 60 75 90 95 pctlpre=p;
run;
proc univariate data=&t;
by season;
var sc_mean;
title "&t PM2.5 SC data";
output out=store.&t._sc_season n=n min=min mean=mean max=max pctlpts=5 10
25 30 50 60 75 90 95 pctlpre=p;
run;
%mend;
%pct(ACC)
%pCt(ATM)
%pCt(RAW)
G113
-------
-------
-------
vvEPA
United States
Environmental Protection
Agency
Recycled/Recyclable
Printed with vegetable-based ink on
paper that contains a minimum of
50% post-consumer fiber content
processed chlorine free
-------