UNITED STATES ENVIRONMENTAL PROTECTION AGENCY 

RESEARCH TRIANGLE PARK, NC 27711 

AUG 2 3 2010 OFFICE OF 

AIR QUALITY PlANNING 

AND STANDARDS 

MEMORANDUM 

Subject: 

From: 

Documentation of Future Year Ozone and Annual PM2.5 Design Values 

for Monitors in We i ter State ' , 

fiBrian Timin, EPA ' ffi e 0 "" ;:; al it-rPlanning and Standards 

The purpose of this memo is to provide projected future year ozone and annual PM2.5 

design values for monitors in the Western United States based on the air quality modeling in 

support of EPA's recently proposed Federal Implementation Plans to Reduce Interstate Transport 

of Particulate Matter and Ozone (Transport Rule). I The memo further describes how these 

projected design values can be used to establish which monitors should be further evaluated to 

detelmine if emissions from other states significantly contribute to nonattainment or interfere 

with maintenance at these sites. 

The proposed Transport Rule addresses actions that States must take in order to 

eliminate transport of emissions that significantly contribute to nonattainment or interfere with 

maintenance of the 1997 8-hour ozone and 1997 PM2.5 National Ambient Air Quality Standards 

(NAAQS), as well as the 2006 PM2.5 NAAQS, in other states. The air quality modeling EPA 

used in support of the Transport Rule is documented in the "Air Quality Modeling Technical 

Support Document: Transport Rule Proposal" (hereafter referred to as the "TSD"). The 

document can be found at http://www.epa.gov/airguality/transportitech.html. 

The transport rule modeling specifically evaluated eastern States' contribution to 

nonattainment or interference with maintenance to areas in other States. The transport rule did 

not evaluate the contribution to nonattainment or the interference with maintenance of states in 

the western portion of the continental United States. These western States were, however, 

included in the Transport Rule modeling domain. Therefore, the modeling results from the 

I The Transport Rule webpage can be found here: http://www.epa.gov/airtransport The Transport Rule 

NPR Federal Register notice can be found here: 75 FR 45,2010 (Aug. 2, 2010) 

Internet Address (URL). hUp:llwww.epa.gov 

RecycledIRecyclable • Printed wHh Vegetable Oil Based Inks on Recycled Paper (Minimum 25% Postconsumer) 
2 

western portion of the modeling domain can be used to project future air quality at monitors in 

these western States. 

The Transport Rule modeling TSD contains detailed information on the model setup, 

emissions, meteorology, and model results for the Transport Rule modeling. The air quality 

model used for the Transport Rule was the CAMx photochemical model (http://camx.com/). 

EPA performed air quality modeling for a 2005 base year and a 2012 "no CAIR" base case.2 

The modeling for 2005 was used as the base year for projecting air quality at monitors to the 

future. The 2012 base case modeling was used to identify future nonattainment and maintenance 

monitor locations and to quantify the contributions of emissions from sources in upwind states to 

concentrations of PM2S , and 8-hour ozone at downwind monitoring receptors. 

The CAMx modeling was completed using a 36 km Continental U.S. modeling domain 

and a nested 12 km Eastern U.S. domain. Figure 1 shows the location of the domain boundaries 

and Tabl(: 2 provides details on the horizontal and vertical grid specifications. Additional details 

on model setup and performance can be found in the TSD. 

Figure 1. Transport Rule air quality modeling domains. 

2 In suPPOtt of the Transport Rule, EPA performed additional modeling for a 2014 "no CAIR" base case, 

and a 2014 control case that reflects the emissions reductions expected from the Transport Rule emissions 

budgets (i.e., the "remedy" scenario). EPA used the 2014 remedy case modeling as part of the analysis to 

quantify the air quality and health benefits from the rule. 
3 

Table 1. Specifications of the air quality modeling domains. 

36 x 36 km Domain I 12 x 12 km Domain 

Map Projection Lambert Conformal Projection 

Grid Resolution 36 km I 12 km 

Coordinate Center 97 dcg W, 40 deg N 

True Latitudes 33 deg Nand 45 deg N 

Dimensions 148xl12xl4 I 279x240x 14 

Vertical extent 

14 Layers: Surface to 100 millibar level 

(see Table 11-3) 

EPA analyzed out-of-state contributions to monitors projected to show nonattainment and 

maintenance problems in 2012 for the 38 States that were fully contained in the 12 km Eastern 

U.S. domain. In the Transport Rule, EPA made no specific findings for Western States, 

including those that were not fully contained within the Eastern U.S. 12 km domain. 3 The 

modeling TSD contains information on the future year design value projection methodology 

(Section III) as well as the projected ozone and PM2.5 design values for each monitoring site in 

the 12 km modeling domain (Appendix B). 

The fulure year projection methodology used the CAMx air quality modeling results in a 

"relative" sense to project future concentrations of ozone and PM2.5 at monitors. Rather than use 

the absolute model-predicted future year ozone and PM2.

5 concentrations, EPA used the base 

year and future year predictions to calculate a (relative) percent change in ozone and PM2.

5 

concentrations. In this approach, the ratio of future year model predictions to base year model 

predictions are used to adjust ambient measured data up or down depending on the relative 

(percent) change in model predictions for each location. The use of ambient data as part of the 

calculation helps to constrain the future year design value predictions, even if the absolute model 

concentrations are over-predicted or under-predicted. In other words, anchoring the future 

predictions to monitored values in the base case, helps to mitigate model performance issnes. As 

described in the TSD, the procedures for projecting PM2.

5 and 8-hour ozone concentrations 

conform to the methodologies contained in the modeling guidance for attainment demonstration 

modeling4. 

Nonattainment and Maintenance Receptors 

3 EPA did not conduct a contribution analysis or make any specific findings for New Mexico, Colorado, 

Wyoming, and Montana since they are only partially contained within the 12km modeling domain. 

4 U.S. EPA, 2007: Guidance on the Use of Models and Other Analyses for Demonstrating Attainment of 

Air Quality Goals for Ozone, PM,." and Regional Haze; Office of Air Quality Planning and Standards, 

Research Triangle Park, NC. http://www.epa.gov/ttn/scram/guidance/guide/final-03-pm-r11-

guidance. pdf 
4 

The Transport Rule proposal identifies states whose emissions contribute significantly to 

nonattainment and/or interfere with maintenance of the 1997 ozone and PM2.5 NAAQS in other 

states. In order to make these findings, EPA needed to address how to define "nonattainment" 

and "maintenance" and to identify the monitors that would be suitable for evaluation. For the 

Transport Rule proposal, EPA defined nonattainment and maintenance as follows: 

Design values of ozone and PM2.5 in 2012 were estimated by applying the 2005 to 2012 

relative change in model-predicted ozone or PM2.5 species5 concentrations to the measured 

(2003-2007) ozone or PM2.

5 species concentrations. For each ozone or PM2.5 monitoring site, all 

valid design values (up to 3) from this period were averaged together. Because 2005 is included 

in all three design value periods, this has the effect of creating a 5-year weighted average, where 

the middle year is weighted 3 times, the 2nd and 4th years are weighted twice, and the 1

st and 5th 

years are weighted once. EPA referred to this as the "5-year weighted average" concentration 

(or 5-year weighted average design value). 

EPA then used the 5-year weighted average design values to project ambient 

concentrations for the 2012 scenario in order to determine which monitoring sites are expected to 

be nonattainment for the future year scenario. We also projected 2012 design values for each of 

the individual 3-year design value periods (i.e., 2003-2005, 2004-2006, and 2005-2007). The 

projection of design values for these individual three year periods was used to determine sites 

expected to have maintenance problems in the 2012 base case. 

For annual average PM2.5 concentrations, any value that is greater than or equal to 15.05 

flg/m3 is rounded to 15.1 flg/m3 and is considered to be violating the NAAQS. This approach is 

consistent with the truncation and rounding procedures for the 1997 annual PM2.

5 NAAQS. 

Thus, monitor sites with future year annual PM2.

5 design values of 15.05 flglm3 

or greater, based 

on the projection of 5-year weighted average concentrations, are predicted to be nonattainment 

sites. Sites with future year maximum design values (based on the highest of the three design 

values projected to 2012, as described above) of 15.05 flglm3 or greater are predicted to be 

maintenance sites. We use the term "nonattainment sites" to refer to those sites that are 

projected to exceed the NAAQS based on both the average and maximum design values. Those 

sites that are projected to be attainment based on the average design value but exceed the 

NAAQS based on the maximum design value are referred to as maintenance sites. 

The future year ozone design values are truncated to integers6 in units of ppb. This 

approach is consistent with the truncation and rounding procedures for the 1997 8-hour ozone 

NAAQS. Future year design values that are greater than or equal to 85 ppb are considered to be 

violating the NAAQS. Sites with future year 5-year weighted average ozone design values of 85 

5 The PM,.5 specics include sulfate, nitrate, ammonium, particle bound water, elemental carbon, salt, other 

primary PM,.5, and organic aerosol mass (by difference). Organic aerosol mass by difference is defined 

as the difference between FRM PM,.5 and the sum of the other components. 

6 The documented ozone design values include values to the tenths digit. Therefore, based on truncation 

to an integer, any value that is less than or equal to 84.9 ppb is < 85 ppb. Any value that is greater than or 

equal to 85.0 ppb is violating the NAAQS. 
5 

ppb or greater are predicted to be nonattainment. Sites with future year maximum design values 

of 85 ppb or greater are predicted to be future year maintenance sites. 

2012 Model Results fOl' the West 

We have used the approach of the proposed Transport Rule to identify monitors in the 

West that are projected to show nonattainment or maintenance problems in 2012. EPA did not 

evaluate the contribution of the western states to other states in the proposed Transport Rule. 

However, as shown in Figure 1, the western states are within the scope of the 36 km modeling 

domain. Therefore, future year projected design values for western states can be calculated from 

the modeling. Using the same approach as used in the transport IUle, we are able to evaluate 

whether monitors in these western states should be considered maintenance receptors for 

purposes of other section 11 0(a)(2)(D) actions. 

Appendix A and B contain the model projected 2012 design values for 8-hour ozone and 

annual average PM2.5 for the West. This includes design values for the States of Montana, 

Wyoming, Colorado, New Mexico, Arizona, Utah, Idaho, Washington, Oregon, Nevada, and 

California. The 2012 design values for the rest of the continental U.S. is documented in 

Appendix B of the TranspOlt Rule Air Quality Modeling TSD. 

Appendix A contains projected 2012 annual PM2.5 (1997 NAAQS) design values based 

on the average ambient design values and the maximum ambient design values. Appendix B 

contains projected 2012 8-hour ozone (1997 NAAQS) design values based on the average 

ambient design values and the maximum ambient design value. As noted above, sites with 2012 

average design values above the NAAQS are considered nonattainment sites. Sites with 2012 

maximum design values above the NAAQS are considered maintenance sites. 

Additional ozone information is included in Appendix C. Appendix C contains design 

value information for ozone monitoring sites in the West where 2012 projected design values 

could not be calculated from the Transport Rule modeling results. This was due to a limited 

number of "high" modeled ozone days. The Transport Rule ozone design value projection 

methodology followed the recommended procedure from the ozone modeling guidance. In order 

to calculate a valid future year design value, the relative change in modeled ozone must be based 

on the average of at least 5 modeled days with base year concentrations of >= 70 ppb. No future 

year design values were calculated for sites which did not meet this criteria. Consistent with the 

modeling guidance and the Transport Rule, future year ozone design values were not calculated 

for sites which did not meet the minimum data requirements. Appendix C contains the sites 

which have valid base year design value data (at least one complete design value in the 2003-

2007 period), but no valid 2012 projected design value. 

Note: There are numerous monitoring sites in the States of New Mexico, Colorado, Wyoming, 

and Montana which are in both the 36 km and 12 km CAMx modeling domains. Only the 12km 

results for these sites are included in Appendix A and B. The appendices note where the design 

values were extracted from the 12 km model results. 
6 

Appendix A 

Base year 2003-2007 and Future Year 2012 Annual Average PM2.5 

Design Values- Western States 
7 

Average Maximum Average Maximum Modeling 

Design Design Design Design results 

Value Value Value Value from 

Monitor Monitor 2003·2007 2003·2007 2012 2012 12km 

Monitor ID State County Latitude Longitude (ug/m3) (u!'l/m3) (u!'l/m3) (ug/m3) domain? 

40031005 Arizona Cochise 31.3492 ·109.5397 7 7.06 6.9 6.97 

40051008 Arizona Coconino 35.20611 ·111.6528 6.49 6.87 6.28 6.64 

40070008 Arizona Gila 34.22934 ·111.3294 8.94 8.98 8.65 8.68 

40130019 Arizona Maricopa 33.48385 ·112.1426 12.17 12.54 11.43 11.78 

40134003 Arizona Maricopa 33.40316 -112.0753 12.59 12.59 11.92 11.92 

40139997 Arizona Maricopa 33.50383 -112.0958 9.97 10.23 9.35 9.6 

40190011 Arizona Pima 32.32255 -111.0377 6.04 6.18 5.77 5.9 

40191028 Arizona Pima 32.29515 -110.9823 5.85 6 5.59 5.73 

40210001 Arizona Pinal 32.87758 -111.7522 7.77 8.37 7.49 8.06 

40213002 Arizona Pinal 33.42119 -111.5032 5.71 5.92 5.45 5.66 

40230004 Arizona Santa Cruz 31.3372 -110.9367 12.94 13.69 12.7 13.43 

60010007 California Alameda 37.6875 -121.7842 9.44 9.67 9.6 9.83 

60011001 California Alameda 37.5358 -121.9619 9.34 9.6 9.87 10.15 

60070002 California Butte 39.7575 -121.8422 12.73 13.51 11.92 12.65 

60090001 California Calaveras 38.20194 -120.6806 7.77 7.82 7.3 7.33 

60111002 California Colusa 39.20306 -122.Q167 7.39 7.39 7.13 7.14 

60130002 California Contra Costa 37.936 -122.0262 9.47 9.8 9.62 9.95 

60190008 California Fresno 36.78139 -119.7722 16.99 17.44 15.46 15.86 

60195001 California Fresno 36.81917 -119.7164 16.38 16.4 14.91 14.93 

60195025 California Fresno 36.72708 -119.7321 17.17 17.23 15.64 15.68 

60250005 California Imperial 32.67611 -115.4833 12.71 12.9 12.18 12.36 

60250007 California Imperial 32.97835 -115.5383 8.39 8.61 8.12 8.33 

60251003 California imperial 32.79167 -115.5617 9.2 9.43 8.92 9.14 

60271003 California Inyo 36.48778 -117.8706 5.25 5.52 4.98 5.22 

60290010 California Kern 35.38556 -119.0147 18.94 19.21 16.86 17.11 

60290014 California Kern 35.35611 -119.0403 18.68 19.56 16.6 17.37 

60290016 California Kern 35.32472 -118.9992 19.17 20.31 17.1 18.11 

60310004 California Kinos 36.10139 -119.5658 17.28 17.56 15.59 15.83 

60333001 California Lake 39.03139 -122.9222 4.62 4.81 4.59 4.78 

60370002 California Los Angeles 34.1365 -117.9239 17.03 18.19 15.86 16.94 

60371002 California Los Angeles 34.17605 -118.3171 18.19 19.68 16.87 18.25 

60371103 California Los Angeles 34.06659 -118.2269 18 19.61 16.66 18.14 

60371201 California Los Anoeles 34.19925 -118.5328 15.35 15.35 14.52 14.52 

60371301 California Los AnQeles 33.92899 -118.2107 17.66 18.73 16.54 17.54 

60371602 California Los Anaeles 34.01194 -118.0700 17.92 19.17 16.77 17.93 

60372005 California Los Anaeles 34.1326 -118.1272 15.36 16.78 14.28 15.6 

60374002 California Los Angeles 33.82376 -118.1892 16.62 17.27 15.59 16.19 

60374004 California Los Angeles 33.79236 -118.1753 15.21 15.21 14.29 14.29 

60379033 California Los Angeles 34.67139 -118.1306 8.42 8.91 7.81 8.26 

60450006 California Mendocino 39.15056 -123.2050 6.46 6.83 6.28 6.64 

60472510 California Merced 37.30917 -120.4806 14.78 14.96 13.69 13.85 

60531003 California Monterev 36.69683 -121.6362 6.96 7.01 6.88 6.93 

60570005 California Nevada 39.23444 -121.0556 5.16 5.25 4.84 4.94 
8 

Average Maximum Average Maximum Modeling 

Design Design Design Design results 

Value Value Value Value from 

Monitor Monitor ~003-;~07 t,003-23~07 2012 2012 12km 

Monitor ID State County Latitude Longitude ug/m3 ua/m3 i~a/m3) (ug/m3) domain? 

60571001 California Nevada 39.33861 -120.1703 6.71 7.06 6.26 6.58 

60590007 California Oranoe 33.83062 -117.9385 15.75 16.32 14.73 15.26 

60592022 California Oranoe 33.63003 -117.6759 11.33 11.9 10.81 11.35 

60610006 California Placer 38.74583 -121.2653 9.8 9.98 9.31 9.48 

60631006 California Plumas 39.93722 -120.9378 9.75 9.75 9.22 9.22 

60631009 California Plumas 39.80833 -120.4717 11.46 11.84 10.75 11.1 

60651003 California Riverside 33.94603 -117.4006 18.91 20.45 17.73 19.18 

60652002 California Riverside 33.70853 -116.2154 10.31 10.85 9.85 10.37 

60658001 California Riverside 33.99958 -117.4160 20.95 22.6 19.64 21.19 

60670006 California Sacramento 38.61417 -121.3669 11.88 12.02 11.28 11.42 

60670010 California Sacramento 38.55833 -121.4919 11.44 11.57 10.92 11.06 

60674001 California Sacramento 38.55583 -121.4572 10.53 10.54 10.04 10.04 

60710025 California San Bernardino 34.03722 -117.6900 19.67 21.15 18.41 19.8 

60710306 California San Bernardino 34.51 -117.3306 10.29 10.7 9.58 9.96 

60712002 California San Bernardino 34.10002 -117.4920 19.14 20.28 17.96 19.03 

60718001 California San Bernardino 34.26444 -116.8644 10.77 10.77 10.25 10.25 

60719004 California San Bernardino 34.10688 -117.2741 19.01 20.45 17.84 19.19 

60730001 California San Diego 32.63123 -117.0591 11.92 12.16 11.61 11.84 

60730003 California San Diego 32.79119 -116.9421 12.27 12.82 11.95 12.48 

60730006 California San Dieoo 32.83646 -117.1287 10.59 10.69 10.31 10.42 

60731002 California San Dieoo 33.12771 -117.0753 12.79 13.45 12.62 13.27 

60731010 California San Dieqo 32.70149 -117.1497 13.38 13.85 13.04 13.5 

60750005 California San Francisco 37.766 -122.3991 9.62 9.87 10.08 10.34 

60771002 California San Joaauin 37.95083 -121.2675 12.94 13.08 12.52 12.66 

60792006 California San Luis Obispo 35.25661 -120.6689 6.92 7.02 6.78 6.89 

60798001 California San Luis Obispo 35.49139 -120.6681 7.94 8.01 7.63 7.7 

60811001 California San Mateo 37.4829 -122.2034 9.03 9.22 9.53 9.73 

60830011 California Santa Barbara 34.42778 -119.6903 10.37 10.57 10.26 10.46 

60850005 California Santa Clara 37.3485 -121.8950 11.38 11.7 12.06 12.39 

c-- 60852003 California Santa Clara 37.3062 -121.8489 10.32 10.32 10.42 10.42 

60890004 California Shasta 40.54972 -122.3792 7.41 7.72 6.93 7.22 

60950004 California Solano 38.1027 -122.2382 9.99 10.19 9.97 10.17 

60970003 California Sonoma 38.4435 -122.7100 8.21 8.34 8.28 8.41 

60990005 California Stanislaus 37.64167 -120.9936 14.21 14.56 13.22 13.54 

61010003 California Sutter 39.13889 -121.6175 9.85 10.25 9.19 9.56 

61072002 California Tulare 36.33222 -119.2903 18.51 19.32 16.75 17.48 

61110007 California Ventura 34.21 -118.8694 1Q.68 11.25 10.42 10.97 

61110009 California Ventura 34.40461 -118.8100 9.74 10.1 9.38 9.71 

61112002 California Ventura 34.2775 -118.6847 11.68 12.63 11.15 12.05 

61113001 California Ventura 34.255 -119.1425 10.69 11.19 10.34 10.82 

61131003 California Yolo 38.66194 -121.7278 9.03 9.37 8.7 9.03 

80010006 Colorado Adams 39.82601 -104.9374 10.06 10.16 9.63 9.73 Yes 

80050005 Colorado Arapahoe 39.6044 -105.0195 7.96 8.1 7.64 7.77 Yes 

80130003 Colorado Boulder 40.16458 -105.1009 8.32 8.54 7.91 8.13 Yes 
9 

Average Maximum Average Maximum Modeling 

Design Design Design Design results 

Value Value Value Value from 

Monitor Monitor 2003-2007 2003-2007 2012 2012 12km 

Monitor 10 State County Latitude Longitude (ug/m3) (ug/m3) (ug/m3) (ug/m3) domain? 

80130012 Colorado Boulder 40.0211 -105.2634 6.96 7.06 6.67 6.77 Yes 

80290004 Colorado Delta 38.73921 -108.0731 7.44 7.62 6.97 7.14 Yes 

80310002 Colorado Denver 39.75118 -104.9876 9.37 9.74 8.97 9.32 Yes 

80310023 Colorado Denver 39.78108 -104.9567 9.76 9.76 9.34 9.34 Yes 

80390001 Colorado Elbert 39.23138 -104.6348 4.4 4.54 4.23 4.37 Yes 

80410008 Colorado EI Paso 38.89598 -104.7613 6.73 6.73 6.34 6.34 Yes -_. 

80410011 Colorado EI Paso 38.82804 -104.8277 7.94 8.11 7.49 7.65 Yes 

80690009 Colorado Larimer 40.57129 -105.0797 7.33 7.4 7.02 7.09 Yes 

80770017 Colorado Mesa 39.0638 -108.5612 9.28 9.48 8.78 8.97 Yes 

81010012 Colorado Pueblo 38.26306 -104.6121 7.45 7.65 7.08 7.28 Yes 

81130004 Colorado San Miguel 37.93787 -107.8131 4.65 4.81 4.48 4.64 Yes 

81230006 Colorado Weld 40.41488 -104.7069 8.19 8.35 7.73 7.89 Yes 

81230008 Colorado Weld 40.20939 -104.8241 8.78 9.28 8.31 8.77 Yes 

160010011 Idaho Ada 43.63611 -116.2703 8.41 8.51 8.09 8.2 

160050015 Idaho Bannock 42.87673 -112.4603 7.66 7.74 7.37 7.45 

160090010 Idaho Benewah 47.31667 -116.5703 9.59 9.69 9.37 9.47 

160270004 Idaho Canyon 43.5624 -116.5632 8.46 8.64 7.98 8.15 

160410001 Idaho Franklin 42.01333 -111.8092 7.7 7.7 7.24 7.24 

160490003 Idaho Idaho 46.2094 -116.0275 9.58 9.58 9.43 9.43 

160790017 Idaho Shoshone 47.53639 -116.2367 12.08 12.13 11.77 11.82 

300870307 Montana Rosebud 45.62333 -106.6681 6.58 6.58 6.48 6.48 Yes 

301111065 Montana Yellowstone 45.80194 -108.4261 8.14 8.18 7.89 7.92 Yes 

300131026 Montana Cascade 47.50222 -111.2789 5.57 5.8 5.39 5.61 

300290009 Montana Flathead 48.39972 -114.3336 9.87 10.16 9.49 9.77 

300290047 Montana Flathead 48.2025 -114.3056 8.46 8.55 8.09 8.18 

300310013 Montana Gallatin 44.65778 -111.0908 4.25 4.31 4.17 4.22 

300470013 Montana Lake 47.52694 -114.1006 9.06 9.06 8.76 8.76 

300470028 Montana Lake 47.69222 -114.1622 9 9 8.7 8.7 

300490018 Montana Lewis and Clark 46.60389 -112.0353 7.96 8 7.7 7.76 

300530018 Montana Lincoln 48.38417 -115.5481 14.93 15.12 14.31 14.49 

300630031 Montana Missoula 46.87491 -113.9953 10.2 10.27 9.85 9.9 

300810007 Montana Ravalli 46.24552 -114.1598 8.56 8.58 8.33 8.36 

300890007 Montana Sanders 47.59639 -115.3236 6.69 6.85 6.54 6.7 

300930005 Montana Silver Bow 46.0024 -112.5009 9.86 10.53 9.5 10.16 

320030022 Nevada Clark 36.39078 -114.9068 4.02 4.07 3.85 3.91 

320030298 Nevada Clark 36.05222 -115.0569 5.75 5.8 5.46 5.5 

320030561 Nevada Clark 36.16399 -115.1139 9.44 9.44 8.84 8.84 

320031019 Nevada Clark 35.78563 -115.3571 3.67 3.78 3.51 3.6 

320032002 Nevada Clark 36.19111 -115.1222 8.49 8.79 7.98 8.26 

320310016 Nevada Washoe 39.52508 -119.8077 8.11 8.15 7.59 7.64 

New 

350010023 Mexico Bernalillo 35.1343 -106.5852 7.03 7.13 6.59 6.68 Yes 

New 

350010024 Mexico Bernalillo 35.0631 -106.5788 6.64 6.81 6.22 6.39 Yes 

New 

350050005 Mexico Chaves 33.39694 -104.5236 6.54 6.58 6.29 6.33 Yes 
10 

Average Maximum Average Maximum Modeling 

Design Design Design Design results 

Value Value Value Value from 

Monitor Monitor 2003-2007 2003-2007 2012 2012 12km 

Monitor ID State Countv Latitude Lon~itude (u~/m3) (u~/m3) (uQ/m3) (ug/m3) domain? 

New 

350130017 Mexico Dona Ana 31.79583 -106.5575 9.95 10.4 9.55 9.97 Yes 

New 

350130025 Mexico Dona Ana 32.32194 -106.7678 6.31 6.35 6.03 6.07 Yes 

New 

350431003 Mexico Sandoval 35.23806 -106.6494 5 5.02 4.69 4.71 Yes 

New 

350439011 Mexico Sandoval 35.5064 -106.7222 7.99 8.34 7.74 8.08 Yes 

New 

350450006 Mexico San Juan 36.7275 -108.2208 5.92 6.08 5.75 5.91 Yes 

New 

350490020 Mexico Santa Fe 35.67111 -105.9536 4.76 4.81 4.59 4.64 Yes 

New 

350171002 Mexico Grant 32.78444 -108.2717 5.93 5.93 5.79 5.79 

410290133 Oregon Jackson 42.31408 -122.8792 10.32 10.66 9.94 10.27 

410291001 OreQon Jackson 42.53611 -122.8750 5.41 5.55 5.28 5.42 

410350004 Oregon Klamath 42.18669 -121.7225 11.2 11.37 10.69 10.86 

410390060 Oreaon Lane 44.02631 -123.0637 6.64 6.92 8.46 8.74 

410391007 Oregon Lane 43.6345 -123.0353 6.35 6.35 6.23 6.23 

410391009 Oregon Lane 44.0467 -123.0177 7.56 7.73 7.4 7.57 

410392013 Oregon Lane 43.74435 -122.4605 11.93 12.37 11.6 12.03 

410510060 OreQon Multnomah 45.49667 -122.6022 9.13 9.45 6.9 9.21 

410510246 OreQon Multnomah 45.5613 -122.6766 6.35 6.57 6.14 8.36 

410610119 Oreqon Union 45.33697 -116.0945 6.35 8.52 8.06 8.24 

481410037 Texas EIPaso 31.76828 -106.5013 9.09 9.09 8.73 8.73 

__ 490030003 Utah Box Elder 41.49278 -112.0181 8.4 8.66 7.9 8.13 

490050004 Utah Cache 41.73111 -111.8375 11.56 12.22 10.86 11.48 

490110004 Utah Davis 40.90297 -111.8645 10.31 10.6 9.83 10.11 

490350003 Utah Salt Lake 40.64667 -111.8497 11.66 11.94 10.93 11.17 

490351001 Utah Salt Lake 40.70861 -112.0947 9.21 9.56 8.78 9.11 

490353006 Utah Salt Lake 40.73639 -111.6722 11.3 11.62 10.73 11.03 

490353007 Utah Salt Lake 40.70444 -111.9686 11.98 12.22 11.4 11.63 -_ .. 

490353008 Utah Salt Lake 40.51795 -112.0231 8.33 8.68 7.86 6.19 

490490002 Ulah Utah 40.25361 -111.6631 10 10.04 9.32 9.35 

490494001 Utah Utah 40.34139 -111.7136 10.51 10.73 9.6 9.99 

490495006 Utah Utah 40.43028 -111.6039 6.86 9.11 6.36 6.57 

490495010 Utah Utah 40.13639 -111.6597 6.76 8.91 6.16 8.31 

490570002 Utah Weber 41.20639 -111.9747 11.16 11.45 10.51 10.77 

490570007 Utah Weber 41.17972 -111.9631 9.26 9.54 6.73 6.96 

490571003 Utah Weber 41.30366 -111.9671 9.36 9.54 6.6 6.97 

530330024 Washington KinQ 47.755 -122.2606 9.15 9.27 9.06 9.17 

530330057 Washington KinQ 47.5632 -122.3405 11.24 11.24 11.1 11.1 

530330060 Washington Kina 47.56633 -122.3061 6.13 6.13 6.04 6.04 

530530029 Washington Pierce 47.1664 -122.4517 10.55 10.78 10.45 10.66 

530611007 Washington Snohomish 46.05556 -122.1756 9.91 10.35 9.77 10.21 

530630016 Washington Spokane 47.66074 -117.3561 9.97 10.19 9.31 9.52 

560050677 WvominQ Campbell 43.67694 -105.2356 6.29 6.29 6.16 6.16 Yes 

560050692 Wyoming Campbell 44.09669 -105.3426 5 5.04 4.91 4.95 Yes 
11 

Average Maximum Average Maximum Modeling 

Design Design Design Design results 

Value Value Value Value from 

Monitor Monitor 2003·2007 2003·2007 2012 2012 12km 

Monitor ID State County Latitude Longitude (ug/m3) (ug/m3) (ug/m3) (ug/m3) domain? 

560050899 WvominQ Campbell 44.46597 ·105.5517 5.37 5.49 5.25 5.37 Yes 

560090819 WvominQ Converse 43.42667 -105.3858 3.52 3.6 3.41 3.48 Yes 

560131003 WvominQ Fremont 42.84105 -108.7363 8.17 8.5 7.89 8.21 Yes 

560210001 Wvomina Laramie 41.13998 -104.8178 4.48 4.69 4.28 4.48 Yes 

560330002 Wyoming Sheridan 44.83327 ·106.9646 9.7 9.84 9.41 9.54 Yes 
12 

Appendix B 

Base year 2003-2007 and Future Year 2012 8-Hour Average Ozone 

Design Values- Western States 
13 

Average 

Design Maximum Average Maximum Modeling 

Value Design Design Design results 

2003- Value Value Value from 

Monitor Monitor 2007 2003-2007 2012 2012 12km 

Monitor ID State County Latitude Longitude (ppb) (ppb) (ppb) (ppb) domain? 

40070010 Arizona Gila 33.6350 -111.1090 80.3 81 71.1 71.7 

40130019 Arizona Maricooa 33.4839 -112.1426 73.3 74 66.2 66.9 

40131004 Arizona Maricopa 33.5603 -112.0663 82.7 83 74.7 75 

40131010 Arizona Maricopa 33.4522 -111.7333 75.3 76 67.5 68.1 

40132001 Arizona Maricopa 33.5694 -112.1915 76.7 79 69.3 71.4 

40132005 Arizona Maricopa 33.7123 -111.8527 77 78 68.3 69.2 

40133002 Arizona Maricopa 33.4579 -112.0460 75.7 76 68.4 68.7 

40133003 Arizona Maricopa 33.4797 -111.9172 76.7 78 69.3 70.5 

40134003 Arizona Maricopa 33.4032 -112.0753 72.7 74 66.5 67.7 

_40134004 Arizona Maricopa 33.2990 -111.8843 75 76 68.6 69.6 

40134005 Arizona Maricopa 33.4124 -111.9347 75.7 77 69.3 70.5 

40134008 Arizona Maricopa 33.8217 -112.0174 79.3 80 69.8 70.4 

40134010 Arizona Maricopa 33.6371 -112.3418 67.3 68 60.3 60.9 

40134011 Arizona Maricooa 33.3701 -112.6207 64 65 57.1 58 

40137003 Arizona Maricopa 33.2894 -112.1573 70 74 64.1 67.7 

40137020 Arizona Maricopa 33.4882 -111.8557 76 76 68.7 68.7 

40137021 Arizona Maricopa 33.5079 -111.7546 83 83 73.6 73.6 

40139508 Arizona Maricopa 33.9828 -111.7987 82 84 72.6 74.3 

40139702 Arizona Maricopa 33.5455 -111.6093 73 80 64.8 71 

40139704 Arizona Maricopa 33.6110 -111.7253 82 82 72.8 72.8 

40139706 Arizona Maricopa 33.7188 -111.6718 81.7 83 72.5 73.6 

40139997 Arizona Maricooa 33.5037 -112.0958 74.7 76 67.5 68.7 

40213001 Arizona Pinal 33.4214 -111.5436 72.7 76 65.2 68.1 

40213003 Arizona Pinal 32.9544 -111.7623 71 71 64.4 64.4 

40213009 Arizona Pinal 33.2191 -111.5611 65.3 66 58.5 59.2 

40213010 Arizona Pinal 33.0590 -112.0469 64 66 58 59.8 

40217001 Arizona Pinal 33.0799 -111.7401 71.3 73 64.4 65.9 

40218001 Arizona Pinal 33.2935 -111.2856 79.3 81 69.8 71.3 

60010007 California Alameda 37.6875 -121.7842 78.3 80 76.2 77.8 

60050002 California Amador 38.3400 -120.7625 83 84 77.8 78.8 

60070002 California Butte 39.7575 -121.8422 73 74 67.5 68.5 

60070007 California Butte 39.7142 -121.6178 83.7 84 77.5 77.8 

60090001 California Calaveras 38.2019 -120.6806 91.3 93 85.3 86.8 

60111002 California Colusa 39.2031 -122.0167 67 67 63 63 

60130002 California Contra Costa 37.9360 -122.0262 73.3 74 71.3 72 

60131002 California Contra Costa 38.0106 -121.6414 72.7 73 69.3 69.5 

60133001 California Contra Costa 38.0292 -121.9022 69.7 70 67.4 67.7 

60170010 California El Dorado 38.7272 -120.8181 93.7 94 86.9 87.2 

60170020 California EI Dorado 38.8906 -121.0000 96 97 88.5 89.4 

60190007 California Fresno 36.7056 -119.7414 87.7 93 79.9 84.7 
14 

Average 

Design Maximum Average Maximum Modeling 

Value Design Design Design results 

2003- Value Value Value from 

Monitor Monitor 2007 2003-2007 2012 2012 12km 

Monitor 10 State County Latitude Longitude (ppb) (ppb) (ppb) (ppb) domain? 

60190008 California Fresno 36.7814 -119.7722 98.3 99 88.9 89.5 

60190242 California Fresno 36.8414 -119.8744 96.3 98 87.1 88.6 

60194001 California Fresno 36.5975 -119.5036 93.7 96 85.2 87.3 

60195001 California Fresno 36.8192 -119.7164 91.3 93 82.6 84.1 

60210002 California Glenn 39.5178 -122.1903 65.5 67 61.5 63 

60250004 California Imperial 32.6739 -115.5031 70 72 64 65.8 

60250005 California Imperial 32.6761 -115.4833 74.7 79 68.3 72.2 

60250006 California Imperial 32.6778 -115.3897 76.7 79 70.1 72.2 

60251003 California Imperial 32.7917 -115.5617 85 86 77.7 78.6 

60254003 California Imperial 33.0325 -115.6225 83.7 87 76.6 79.7 

60254004 California Imperial 33.2136 -115.5444 73 74 66.8 67.7 

60290007 California Kern 35.3461 -118.8511 98.7 100 88 89.1 

60290008 California Kern 35.0544 -119.4039 89.3 91 79.2 80.7 

60290010 California Kern 35.3856 -119.0147 88 90 78.4 80.2 

60290011 California Kern 35.0506 -118.1464 87 90 77.5 80.1 

60290014 California Kern 35.3561 -119.0403 97.7 99 87.1 88.2 

60290232 California Kern 35.4389 -119.0158 95.7 96 85.3 85.6 .. 

60295001 California Kern 35.2083 -118.7844 110 113 95.7 98.3 

60296001 California Kern 35.5036 -119.2717 89 90 80.2 81.1 

60311004 California Kings 36.3144 -119.6436 85.7 88 77 79.1 

60370002 California Los Angeles 34.1365 -117.9239 91.7 94 88.8 91.1 

60370016 California Los Angeles 34.1444 -117.8504 102 105 98.8 101.7 

60370113 California Los Angeles 34.0511 -118.4564 73.7 78 70.8 74.9 

60371002 California Los Angeles 34.1761 -118.3171 89 89 86.3 86.3 

60371103 California Los AnQeles 34.0666 -118.2269 74 76 71.7 73.7 

60371201 California Los Anceles 34.1993 -118.5328 101.7 106 97.7 101.9 

60371701 California Los Angeles 34.0670 -117.7514 100.3 102 103.3 105.1 

60372005 California Los Angeles 34.1326 -118.1272 91.3 93 88.5 90.2 

60376012 California Los Angeles 34.3834 -118.5284 114 120 103.1 108.5 

60379033 California Los Anceles 34.6714 -118.1306 96.3 98 88.2 89.8 

60390004 California Madera 36.8667 -120.0100 79.3 82 71.7 74.2 

60430006 California Mariposa 37.5500 -119.8436 83.7 87 76.2 79.2 

60470003 California Merced 37.2817 -120.4336 89.3 95 80.8 86 

60531003 California Monterey 36.6968 -121.6362 55.7 58 52.7 54.9 

60570005 California Nevada 39.2344 -121.0556 96.3 98 88.7 90.3 

60570007 California Nevada 39.3167 -120.8444 85 86 78.3 79.2 

60591003 California Orange 33.6746 -117.9257 68 73 66.1 71 

60592022 California Orange 33.6300 -117.6759 84.3 86 79.9 81.5 

60610002 California Placer 38.9378 -121.1039 91.3 93 84.2 85.7 

60610004 California Placer 39.1003 -120.9528 94 97 86.7 89.4 

60610006 California Placer 38.7458 -121.2653 88 89 82.3 83.3 

60650012 California Riverside 33.9209 -116.8584 112.3 119 100.9 106.9 

60652002 California Riverside 33.7085 -116.2154 91 95 82.4 86.1 
15 

Average 

Design Maximum Average Maximum Modeling 

Value Design Design Design results 

2003- Value Value Value from 

Monitor Monitor 2007 2003-2007 2012 2012 12km 

Monitor ID State County Latitude Longitude (ppb) (ppb) (ppb) (ppb) domain? 

60655001 California Riverside 33.8528 -116.5410 102.3 104 92.1 93.7 

60656001 California Riverside 33.7894 -117.2276 98.3 100 90.3 91.9 

60658001 California Riverside 33.9996 -117.4160 108.7 112 109.4 112.7 

60659001 California Riverside 33.6765 -117.3310 101 104 92.8 95.6 

60659003 California Riverside 33.6121 -114.6006 62.3 63 57 57.6 

60670002 California Sacramento 38.7128 -121.3800 80.7 82 75.5 76.7 

60670006 California Sacramento 38.6142 -121.3669 90.7 92 84.9 86.1 

60670010 California Sacramento 38.5583 -121.4919 75.7 78 71.2 73.3 

60670011 California Sacramento 38.3019 -121.4222 82.3 83 78.8 79.4 

60670012 California Sacramento 38.6839 -121.1628 97.3 98 91 91.7 

60670013 California Sacramento 38.6369 -121.5133 76 76 71.5 71.5 

60675003 California Sacramento 38.4944 -121.2100 94.3 96 88.2 89.8 

60690002 California San Benito 36.8442 -121.3611 68 68 64.3 64.3 

60690003 California San Benito 36.4853 -121.1556 75 76 71.1 72.1 

San 

60710001 California Bernardino 34.8950 -117.0236 84.7 85 76.7 77 

San 

60710005 California Bernardino 34.2431 -117.2724 123.3 127 116.7 120.2 

San 

60710012 California Bernardino 34.4261 -117.5631 98 100 92.7 94.6 

San 

60710017 California Bernardino 34.1419 -116.0550 85 85 77.1 77.1 

San 

60710306 California Bernardino 34.5100 -117.3306 91.7 94 86.8 88.9 

San 

60711004 California Bernardino 34.1037 -117.6291 106.3 108 109.5 111.3 

San 

60711234 California Bernardino 35.7639 -117.3961 80.7 83 72.2 74.3 

San 

60712002 California Bernardino 34.1000 -117.4920 114.3 118 115 118.7 

San 

60714001 California Bernardino 34.4181 -117.2847 100.7 104 95.3 98.4 

San 

60714003 California Bernardino 34.0598 -117.1473 119.3 123 120 123.8 

San 

60719002 California Bernardino 34.0714 -116.3906 103.7 105 93.8 95 

San 

60719004 California Bernardino 34.1069 -117.2741 115.7 116 116.4 116.7 

60730001 California San DieDo 32.6312 -117.0591 66.7 68 64.3 65.5 

60730003 California San Dieao 32.7912 -116.9421 71.7 73 69.1 70.4 

60730006 California San Diego 32.8365 -117.1287 72.3 74 69.7 71.3 

60731001 California San Diego 32.9521 -117.2641 69 70 66.9 67.9 

60731002 California San Diego 33.1277 -117.0753 73.3 74 68.3 69 

60731006 California San Diego 32.8423 -116.7683 87.7 89 81.2 82.4 

60731008 California San DieDo 33.2170 -117.3962 73 76 69.1 72 

60731010 California San DieDo 32.7015 -117.1497 59.3 61 57.2 58.8 

60732007 California San Diego 32.5522 -116.9378 63 65 60.8 62.8 

60771002 California San Joaquin 37.9508 -121.2675 75.3 77 71.7 73.4 

60830008 California Santa Barbara 34.4625 -120.0255 62.3 67 58.7 63.1 
16 

Average 

Design Maximum Average Maximum Modeling 

Value Design Design Design results 

2003- Value Value Value from 

Monitor Monitor 2007 2003-2007 2012 2012 12km 

Monitor ID State Countv Latitude Longitude (ppb) (ppb) (ppb) (ppb) domain? 

60830011 California Santa Barbara 34.4278 -119.6903 60.5 62 57 58.4 

60831014 California Santa Barbara 34.5417 -119.7915 76 78 71.6 73.5 

60831021 California Santa Barbara 34.4028 -119.4575 60.7 64 56.7 59.8 

60831025 California Santa Barbara 34.4897 -120.0469 73.3 74 69.1 69.7 

60832011 California Santa Barbara 34.4455 -119.8284 62.7 64 59.1 60.3 

60833001 California Santa Barbara 34.6084 -120.0747 65.3 68 61.5 64.1 

60850002 California Santa Clara 37.0000 -121.5744 70.3 71 66.5 67.2 

60851001 California Santa Clara 37.2269 -121.9786 71 73 68.5 70.5 

60852005 California Santa Clara 37.4019 -121.8425 59 59 56.9 56.9 

60852006 California Santa Clara 37.0794 -121.5992 75.3 76 72.2 72.8 

60870006 California Santa Cruz 37.0522 -122.0125 61.3 63 59.2 60.8 

60870007 California Santa Cruz 36.9840 -121.9883 54.7 57 52.8 55 

60890004 California Shasta 40.5497 -122.3792 78 80 70.9 72.7 

60890007 California Shasta 40.4531 -122.2978 79.3 84 72.1 76.4 

60950005 California Solano 38.2269 -122.0758 67.7 69 65.5 66.7 

60953003 California Solano 38.3584 -121.9500 72.7 74 68.1 69.4 

60990005 California Stanislaus 37.6417 -120.9936 84.7 86 78.5 79.7 

60990006 California Stanislaus 37.4883 -120.8358 84.7 86 77.7 78.9 

61010003 California Sutter 39.1389 -121.6175 74 74 68.4 68.4 

61010004 California Sutter 39.2056 -121.8204 82 83 77.1 78 

61030004 California Tehama 40.2622 -122.0928 82.7 83 75.6 75.9 

61070006 California Tulare 36.5672 -118.7781 96 97 87.3 88.2 

61070009 California Tulare 36.4892 -118.8269 103.7 105 94.3 95.5 

61072002 California Tulare 36.3322 -119.2903 92 93 82.9 83.8 

61090005 California Tuolumne 37.9817 -120.3786 80 81 74.8 75.8 

61110007 California Ventura 34.2100 -118.8694 79 83 77.1 81 

61110009 California Ventura 34.4046 -118.8100 84 87 75.9 78.6 

61111004 California Ventura 34.4483 -119.2303 88.3 90 80.1 81.7 

61112002 California Ventura 34.2775 -118.6847 89.7 91 86.2 87.4 

61112003 California Ventura 34.2804 -119.3136 65 68 60.7 63.6 

61113001 California Ventura 34.2550 -119.1425 63 66 57.1 59.9 

61130004 California Yolo 38.5333 -121.7750 74 75 69.6 70.5 

61131003 California Volo 38.6619 -121.7278 78.7 80 74 75.2 

80013001 Colorado Adams 39.8381 -104.9498 69 70 66.8 67.7 yes 

80050002 Colorado Arapahoe 39.5679 -104.9572 78.7 81 76 78.2 yes 

80130011 Colorado Boulder 39.9572 -105.2385 77 81 73.4 77.2 yes 

80310002 Colorado Denver 39.7512 -104.9876 56 56 54.2 54.2 yes 

80310014 Colorado Denver 39.7518 -105.0307 73 75 70.7 72.6 yes 

80350004 Colorado Doualas 39.5345 -105.0704 83 84 79.3 80.3 yes 

80590002 Colorado Jefferson 39.8003 -105.1000 76.3 79 73.9 76.6 yes 

80590005 Colorado Jefferson 39.6388 -105.1395 70.3 75 67.9 72.4 yes 

80590006 Colorado Jefferson 39.9129 -105.1886 81.7 85 78.1 81.3 yes 

80590011 Colorado Jefferson 39.7437 -105.1780 80.7 82 78.2 79.5 yes 
17 

Average 

Design Maximum Average Maximum Modeling 

Value Design Design Design results 

2003- Value Value Value from 

Monitor Monitor 2007 2003-2007 2012 2012 12km 

Monitor ID State County Latitude Longitude (ppb) (ppb) (ppb) (ppb) domain? 

80691004 Colorado Larimer 40.5775 -105.0789 72.3 74 68.4 70 yes 

81230009 Colorado Weld 40.3864 -104.7374 76.7 78 72.7 73.9 yes 

80410013 Colorado EIPaso 38.9583 -104.8172 73.3 74 68.8 69.5 

80410016 Colorado E! Paso 38.8531 -104.9013 73 74 68.5 69.5 

80690007 Colorado Larimer 40.2772 -105.5450 76 78 71.3 73.2 

320030007 Nevada Clark 36.0289 -114.9889 76 77 68.6 69.5 

320030020 Nevada Clark 36.2453 -115.0922 78.7 79 71 71.3 

320030022 Nevada Clark 36.3908 -114.9068 78 79 70.6 71.5 

320030043 Nevada Clark 36.1081 -115.2536 80.3 82 72.1 73.6 

320030071 Nevada Clark 36.1703 .-115.2614 83.7 86 75.2 77.2 

320030072 Nevada Clark 36.2247 -115.2667 83.3 84 74.8 75.4 -

320030073 Nevada Clark 36.1731 -115.3317 82.7 83 74.3 74.5 

320030075 Nevada Clark 36.2724 -115.2382 83.7 85 75.8 77 

320030538 Nevada Clark 36.1431 -115.0517 77.7 78 70.1 70.4 

320030601 Nevada Clark 35.9789 -114.8442 76 76 66.8 66.8 

320031019 Nevada Clark 35.7856 -115.3571 80.7 81 71.8 72.1 

320031021 Nevada Clark 36.1205 -115.1300 75.3 78 68 70.4 

320032002 Nevada Clark 36.1911 -115.1222 79.7 81 72 73.1 

350130008 New Mexico Dona Ana 31.9306 -106.6306 70.7 72 66.9 68.1 yes 

350130017 New Mexico Dona Ana 31.7958 -106.5575 71.3 72 67.3 67.9 yes 

350130021 New Mexico Dona Ana 31.7961 -106.5839 75.3 77 71 72.7 yes 

350130022 New Mexico Dona Ana 31.7878 -106.6828 72.7 74 68.5 69.8 yes 

350450009 New Mexico San Juan 36.7422 -107.9769 69.7 72 66.4 68.6 yes 

350451005 New Mexico San Juan 36.7967 -108.4725 71.3 72 68.1 68.8 yes 

350010019 New Mexico Bernalillo 35.1073 -106.5636 72.3 73 66.1 66.8 

350010023 New Mexico Bernalillo 35.1343 -106.5852 71 71 65 65 

350010024 New Mexico Bernalillo 35.0631 -106.5788 72.3 73 66.1 66.8 

1--.350010027 New Mexico Bernalillo 35.1539 -106.6972 71.7 72 65.6 65.9 

350011013 New Mexico Bernalillo 35.1932 -106.6138 73.7 75 67.4 68.6 

350011014 New Mexico Bernalillo 35.2022 . -106.6493 70.3 71 64.3 65 

350431003 New Mexico Sandoval 35.2381 -106.6494 73.3 74 67.1 67.7 

350450009 New Mexico San Juan 36.7422 -107.9769 69.7 72 66.1 68.3 

350451005 New Mexico San Juan 36.7967 -108.4725 71.3 72 67.7 68.4 

490030003 Utah Box Elder 41.4928 -112.0181 76 78 70.1 71.9 

490110004 Utah Davis 40.9030 -111.8845 81.3 85 74.6 78 

490350003 Utah Salt Lake 40.6467 -111.8497 81 83 74.9 76.7 

490352004 Utah Salt Lake 40.7364 -112.2103 81 83 75 76.9 

490353006 Utah Salt Lake 40.7364 -111.8722 78.3 81 71.9 74.3 

490353007 Utah Salt Lake 40.7044 -111.9686 79 81 72.5 74.3 

490353008 Utah Salt Lake 40.5179 -112.0231 78 80 72.1 74 

490450003 Utah Tooele 40.5434 -112.2988 78 78 72.6 72.6 

490490002 Utah Utah 40.2536 -111.6631 74.3 75 68.7 69.3 

490495008 Utah Utah 40.4303 -111.8039 76 78 70.3 72.1 
18 

Average 

Design Maximum Average Maximum Modeling 

Value Design Design Design results 

2003- Value Value Value from 

Monitor Monitor 2007 2003-2007 2012 2012 12km 

Monitor ID State County Latitude Longitude (ppb) (ppb) (ppb) (ppb) domain? 

490495010 Utah Utah 40.1364 -111.6597 76.7 78 70.9 72.1 

490570007 Utah Weber 41.1797 -111.9831 78.3 81 71.7 74.2 

490571003 Utah Weber 41.3037 -111.9871 80.3 83 73.5 76 
18 

Appendix C 

Base year 2003-2007 8-Hour Average Ozone Design ValuesWestern State Monitors Where a Future Year Design Value Could Not Be 

Calculated 
20 

Average 

Design Maximum 

Value Design Average Maximum 

2003- Value Design Design 

Monitor Monitor 2007 2003-2007 Value Value 

Monitor ID State County Latitude Lon!litude (ppb) (ppb) 2012 2012 

40038001 Arizona Cochise 32.1169 -109.4669 71.3 72 -9 -9 

_~0058001 Arizona Coconino 36.0717 -112.1531 73 74 -9 -9 

40128000 Arizona La Paz 34.2319 -113.5800 72 72 -9 -9 

40190002 Arizona Pima 32.2221 -110.9747 68.3 70 -9 -9 

40190021 Arizona Pima 32.1746 -110.7371 76 76 -9 -9 

40191011 Arizona Pima 32.2044 -110.8787 70.7 72 -9 -9 

40191018 Arizona Pima 32.4253 -111.0635 71.7 72 -9 -9 

40191020 Arizona Pima 32.0477 -110.7744 69 70 -9 -9 

40191028 Arizona Pima 32.2952 -110.9823 72 73 -9 -9 

40191030 Arizona Pima 31.8795 -110.9964 67 68 -9 -9 

40191032 Arizona Pima 32.1730 -110.9801 66 67 -9 -9 

40191034 Arizona Pima 32.3808 -111.1272 66.7 68 -9 -9 

40213007 Arizona Pinal 32.5083 -111.3081 71.3 72 -9 -9 

40250005 Arizona Yavapai 34.4289 -112.9619 72 72 -9 -9 

40270006 Arizona Yuma 32.6779 -114.4759 75 76 -9 -9 

60010005 California Alameda 37.7994 -122.2667 39 39 -9 -9 

60010006 California Alameda 37.7078 -122.1203 52.3 53 -9 -9 

60011001 California Alameda 37.5358 -121.9619 59.3 60 -9 -9 

60131004 California Contra Costa 37.9603 -122.3567 49 52 -9 -9 

60270101 California Inyo 36.5086 -116.8478 82.3 84 -9 -9 

60333001 California Lake 39.0314 -122.9222 60.7 61 -9 -9 

60371301 California Los Angeles 33.9290 -118.2107 62 64 -9 -9 

60371602 California Los Angeles 34.0119 -118.0700 70 70 -9 -9 

60374002 California Los AnQeles 33.8238 -118.1892 60.7 64 -9 -9 

60375005 California Los Anaeles 33.9508 -118.4304 69 72 -9 -9 

60410001 California Marin 37.9725 -122.5186 49.7 51 -9 -9 

60430003 California Mariposa 37.7133 -119.7039 86.3 88 -9 -9 

60450008 California Mendocino 39.1500 -123.1997 56.7 57 -9 -9 

60450009 California Mendocino 39.4031 -123.3492 45.3 46 -9 -9 

60530002 California Monterey 36.4958 -121.7306 61 63 -9 -9 

60530005 California Monterev 36.2275 -121.1156 58.3 60 -9 -9 

60550003 California Napa 38.3108 -122.2947 59.3 61 -9 -9 

60590007 California Orange 33.8306 -117.9385 77.3 81 -9 -9 

60595001 California Orange 33.9251 -117.9526 76 79 -9 -9 

60750005 California San Francisco 37.7660 -122.3991 46 48 -9 -9 

60790005 California San Luis Obispo 35.6317 -120.6900 70.7 71 -9 -9 

60792001 California San Luis Obispo 35.1250 -120.6333 57 57 -9 -9 

60792002 California San Luis Obispo 35.2839 -120.6542 57 57 -9 -9 

60792006 California San Luis Obispo 35.2566 -120.6689 55 55 -9 -9 

60793001 California San Luis Obispo 35.3657 -120.8429 54.3 56 -9 -9 

60794002 California San Luis Obispo 35.0315 -120.5009 60.7 64 -9 -9 

60798001 California San Luis Obispo 35.4914 -120.6681 67.3 68 -9 -9 
21 

Average 

Design Maximum 

Value Design Average Maximum 

2003- Value Design Design 

Monitor Monitor 2007 2003-2007 Value Value 

Monitor ID State County Latitude Longitude (ppb) (ppb) 2012 2012 

60811001 California San Mateo 37.4829 -122.2034 53.7 57 -9 -9 

60831008 California Santa Barbara 34.9492 -120.4367 50.7 53 -9 -9 

60831013 California Santa Barbara 34.7256 -120.4278 66.3 70 -9 -9 

60831018 California Santa Barbara 34.5274 -120.1965 56.7 60 -9 -9 

60832004 California Santa Barbara 34.6378 -120.4575 54 56 -9 -9 

60834003 California Santa Barbara 34.5961 -120.6303 65.3 69 -9 -9 

60850005 California Santa Clara 37.3485 -121.8950 61.7 63 -9 -9 

60852007 California Santa Clara 37.3553 -122.0514 59 64 -9 -9 

60870003 California Santa Cruz 37.0119 -122.1933 51 52 -9 -9 

60870004 California Santa Cruz 36.9333 -121.7958 54.7 56 -9 -9 

60893003 California Shasta 40.5369 -121.5725 69.7 72 -9 -9 

60932001 California Siskiyou 41.7283 -122.6344 63.5 64 -9 -9 

60950004 California Solano 38.1027 -122.2382 57 60 -9 -9 

60970003 California Sonoma 38.4435 -122.7100 47.7 49 -9 -9 

80677003 Colorado La Plata 37.1022 -107.8694 63.7 66 -9 -9 

80830101 Colorado Montezuma 37.1983 -108.4903 72 73 -9 -9 

160010030 Idaho Ada 43.5895 -116.2235 76 77 -9 -9 

160270007 Idaho Canyon 43.7056 -116.6232 66 66 -9 -9 

160390010 Idaho Elmore 43.2866 -115.8532 63 63 -9 -9 

160550003 Idaho Kootenai 47.7889 -116.8045 67 67 -9 -9 

300298001 Montana Flathead 48.5103 -113.9956 56.3 57 -9 -9 

301110086 Montana Yellowstone 45.9426 -108.3510 59 59 -9 -9 

320030023 Nevada Clark 36.8081 -114.0608 70 71 -9 -9 

320310016 Nevada Washoe 39.5251 -119.8077 70 71 -9 -9 

320310020 Nevada Washoe 39.4696 -119.7753 70.7 71 -9 -9 

320310025 Nevada Washoe 39.4000 -119.7396 67.3 69 -9 -9 

320311005 Nevada Washoe 39.5405 -119.7469 70.7 71 -9 -9 

320312002 Nevada Washoe 39.2506 -119.9564 65 65 -9 -9 

320312009 Nevada Washoe 39.6455 -119.8399 67.7 71 -9 -9 

320330101 Nevada White Pine 39.0053 -114.2158 72.3 73 -9 -9 

325100004 Nevada Carson City 39.1731 -119.7592 65 66 -9 -9 

350010029 New Mexico Bernalillo 35.0171 -106.6574 69 69 -9 -9 

350011012 New Mexico Bernalillo 35.1852 -106.5082 69.3 77 -9 -9 

350130008 New Mexico Dona Ana 31.9306 -106.6306 70.7 72 -9 -9 

350130017 New Mexico Dona Ana 31.7958 -106.5575 71.3 72 -9 -9 

350130020 New Mexico Dona Ana 32.0411 -106.4092 70.7 72 -9 -9 

350130021 New Mexico Dona Ana 31.7961 -106.5839 75.3 77 -9 -9 

350130022 New Mexico Dona Ana 31.7878 -106.6828 72.7 74 -9 -9 

350130023 New Mexico Dona Ana 32.3175 -106.7678 66.5 67 -9 -9 

350151005 New Mexico Eddv 32.3800 -104.2622 69 69 -9 -9 

350171003 New Mexico Grant 32.6919 -108.1244 66 66 -9 -9 

350250008 New Mexico Lea 32.7267 -103.1229 69.5 71 -9 -9 

350431001 New Mexico Sandoval 35.2994 -106.5483 67.7 70 -9 -9 
22 

Average 

Design Maximum 

Value Design Average Maximum 

2003. Value Design Design 

Monitor Monitor 2007 2003·2007 Value Value 

Monitor ID State County Latitude Longitude (ppb) (ppb) 2012 2012 

350439004 New Mexico Sandoval 35.6153 ·106.7244 71 71 -9 ·9 

410050004 QreQon Clackamas 45.2597 -122.5875 66.3 68 -9 -9 

410052002 Oreaon Clackamas 45.4432 -122.6380 56.7 58 -9 -9 

410090004 Oregon Columbia 45.7681 -122.7719 58.7 60 -9 -9 

410290201 Oregon Jackson 42.2294 -122.7875 68 69 -9 -9 

410390060 Oregon Lane 44.0263 -123.0837 66.7 68 -9 -9 

410391007 Oregon Lane 43.8345 -123.0353 69.3 72 -9 -9 

410470004 OreQon Marion 44.8094 -122.9136 65.7 66 -9 -9 

410510080 OreQon Multnomah 45.4967 -122.6022 56.3 57 -9 -9 

490037001 Utah Box Elder 41.9460 -112.2332 76 76 -9 -9 

490050004 Utah Cache 41.7311 -111.8375 68.7 72 -9 -9 

490370101 Utah San Juan 38.4500 -109.8167 70.3 71 -9 -9 

490530130 Utah Washinqton 37.1983 -113.1506 78.5 79 -9 -9 

530110011 Washinqton Clark 45.6167 -122.5167 59.5 60 -9 -9 

530330010 Washinqton Kino 47.5525 -122.0647 60.3 61 -9 -9 

530330017 Washinoton Kino 47.4897 -121.7733 66.3 71 -9 -9 

530330023 Washington King 47.1411 -121.9331 72.3 74 -9 -9 

530390003 Washington Klickitat 45.6662 -121.0007 64.5 65 -9 -9 

530530012 Washington Pierce 46.7853 -121.7328 63 67 -9 -9 

530531008 Washington Pierce 46.8431 -122.3175 68.7 70 -9 -9 

530570018 Washinaton Skagit 48.4601 -122.5191 46 47 -9 -9 

530630001 WashinQton Spokane 47.4165 -117.5300 61 62 -9 -9 

530630046 Washinqton Spokane 47.8272 -117.2753 68.3 71 -9 -9 

530670002 Washington Thurston 46.9364 -122.6108 65 65 -9 -9 

530730005 Washington Whatcom 48.9526 -122.5545 57 57 -9 -9 

560050123 Wyoming Campbell 44.6721 -105.2903 67.3 69 -9 -9 

560050456 Wyomina Campbell 44.1470 -105.5300 65.3 67 -9 -9 

560350098 Wyomina Sublette 42.4294 -109.6957 70 70 -9 -9 

560350100 Wvomina Sublette 42.7926 -110.0558 68 68 -9 -9 

560391011 Wyomina Teton 44.5653 -110.4000 62.7 64 -9 -9