## MEMORANDUM UNITED STATES ENVIRONMENTAL PROTECTION AGENCY RESEARCH 

### TRIANGLE PARK, NC 27711



# AUG 23 2 010 OFFICE OF AIRQUA LITY PlANNING AND 8TANDARDS



## Subject:

From: 

## Documentation ofFuture Year Ozone and Annual PM2 .5Design Values forMonitors in w e

., States Timin,

# ffi? 0 

## ir Qualit Planning and Standards

The purpose ofthis memo is to provideprojected future year ozone and annual PM2 .5 design values formonitors in the Western United Statesbased on the air qualitymodeling in

support ofEPA's recentlyproposed Federal Implementation Plans to Reduce InterstateTransport

ofParticulate Matter and Ozone (Transport Rule). I 

## Thememo further describes how these projected design values can be used to establish which monitors should be further evaluatedto determine ifemissions from other states significantlycontribute to nonattainment or interfere

with maintenance at these sites

. Theproposed Transport Rule addresses actions that States must take in order to

eliminate transport ofemissions that significantlycontribute to nonattainment or interf ere with maintenance ofthe 1997 8-hourozone and 1997 PM2

.5National AmbientAir Quality Standards (NAAQS), as well as the 2006

## PM2

.5NAAQS, in other states. The air quality modeling EPA

used in support oftheTransport Rule is documented in the "AirQualityModeling Technical Support Document: Transport Rule Proposal" (hereafterref erred to as the "TSD"). The document canbe found at http://www.epa.gov/airgualitY/transportftech.html.

The transport rule modeling specifically evaluated eastern States' contributionto nonattainment or interference with maintenance to areas in other States. The transportrule did not evaluate the contribution to nonattainment orthe interference with maintenance ofstates in the western portion ofthe continental United States. These western States were, however, included in the Transport Rule modeling domain

. Therefore, the modeling results from the

1

## TheTransport Rul ewebpage canbe foundhere: http://www.epa.gov /airtran sport The Tr ansportRule N

PRFederal R egisternotic ecanbefound her e: 75

## FR45,2010

## (Aug.2, 2010)

Internet Address (URL ). http://www.epa.gov Recyc ledIRecyc lable• Printedwit hVege tab leOilBase d Inks onRecycled Paper(Minimum 25 % Postconsume r)

## 2

western portion ofthe 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 TransportRule modeling. The air quality model used for the Transport Rule was the CAMx photochemical model (http://eamx.eom/). EPA performed air quality modeling for a 2005 base year and a 2012 "no CAIR" base case.' The modeling for 2005 was used as the base year for projecting air quality at monitors to the future. The 2012 base ease modeling was used to identify future nonattainment and maintenance monitor locations and to quantify the contributions ofemissions from sources inupwind states to concentrations ofPM2 S, 

## 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 ofthe domain boundaries and Table 2 provides details on the horizontal and vertical grid specifications. Additional details on model setup and performance can be found in the TSD.

Figure I. TransportRule air quality modeling domains.

2

## Insupport

## of the TransportRule, EPAperformed additional modelingfor a 2014"no CAIR" base case, and a 2014 control case that reflectstheemissions reductions expected from the Transport Ruleemissions budgets (i.e., the "remedy" scenario). EPA usedthe 2014 remedycasemodeling aspart 

## of the analysisto quantifythe air quality and healthbenefits from the rule.

## 3

Table 1. Specifications ofthe air qualitymodeling domains.

36 

### x36 

### km Domain 

# I 12

### x 12 

### km Domain Map Projection Lambert ConformalProjection

Grid Resolution 36 km 

# I 12km



### Coordinate Center 97 dcg W, 40 deg N

True Latitudes 33 

### degNand45 deg N

Dimensions 

### 148xl12xl4 

# I 279x240x 14

Vertical extent 14Layers: Surfaceto 100 millibarlevel (see TableJI-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

## kmEastern U.S. domain. In the TransportRule, EPA made no specific findings for Western States, including those that were not fully containedwithin the Eastern U.S. 12 km domain.] The modeling TSD contains information on the future year design value projection methodology (Section III) as well as the projected ozone and PM25 design values for each monitoring site in the 12 km modeling domain (Appendix B). The future year projection methodologyused the CAMx air quality modeling results in a "relative" sense to project future concentrations ofozone and PM2.5 atmonitors. Ratherthan use the absolute model-predicted future year ozone and PM2.5concentrations, EPA used the base year and future year predictions to calculate a (relative) percentchange in ozone and PM2.5 concentrations. In this approach, the ratio offuture year model predictions to base year model predictions are used to adjust ambientmeasured data up or down depending on the relative (percent) change in model predictions for each location. The use ofambientdata as part ofthe calculation helps to constrainthe future year design value predictions, even ifthe absolute model concentrations are over-predicted or under-predicted. In otherwords, anchoring the future predictions to monitored values in the base case, helps to mitigate model performanceissues. As described in the TSD, the procedures for projecting PM2.5 

## and 8-hourozone concentrations conform to the methodologies contained in the modeling guidance for attainmentdemonstration 

## modeling".



## 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 ofModels and Other Analyses for Demonstrating Attainment of Air Quality Goals for Ozone, PM,." and Regional Haze; Office ofAir QualityPlanning and Standards, Research Triangle Park, NC. http://www.epa.gov/ttn/scram/guidance/guide/final-03-pm-r11- guidance.pdf

## 4

The Transport Ruleproposal identifies states whose emissions contribute significantly to nonattainment and/or interfere with maintenance ofthe 1997 ozone and PM2

.

## 5NAAQS in other states. In orderto make these findings, EPA needed to address how to define "nonattainment" and "maintenance" and to identifythe monitors that would be suitable for evaluation. For the Transport Rule proposal, EPA defined nonattainment and maintenance as follows: Design values ofozone and PM25in 2012 were estimatedby applying the 2005 to 2012 relative change in model-predicted ozone or PM2.5 species" concentrations to the measured (2003-2007) ozone or PM2

.5 

## species concentrations. Foreach ozone or PM25 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 ofcreating a 5-yearweighted average, where the middle year is weighted 3 times, the 2nd 

## and 4th 

## years are weighted twice, and the Ist 

## and 5th 

## years are weighted once. EPA referred to this as the "5-yearweighted average" concentration (or 5-yearweighted average design value).

EPA then used the 5-yearweighted average design values to project ambient concentrations for the 2012 scenario in orderto 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-yeardesign value periods (i.e., 2003-2005, 2004-2006, and 2005-2007). The projection ofdesign values for these individual three yearperiods 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 greaterthan or equal to 15.05 ug/m'' is rounded to 15.1 ug/m.' and is considered to be violating the NAAQS. This approach is consistentwith the truncation and rounding procedures for the 1997 annual PM2.5

## NAAQS. Thus, monitor sites with future year annual PM2

.5

## design values of15.05 ug/nr' or greater, based on the projection of5-yearweighted average concentrations, are predictedto be nonattainment sites. Sites with future yearmaximum design values (based on the highest ofthe three design values projected to 2012, as described above) of15.05 ug/m:' or greater are predicted to be maintenance sites. We use the term "nonattainmentsites" to referto those sites that are projected to exceed the NAAQS based onboth the average and maximum design values. Those sites that are projectedto be attainmentbased 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 integers" in units ofppb. This approach is consistentwith the truncation and roundingprocedures for the 1997 8-hourozone NAAQS. Future year design values that are greaterthan or equal to 85 ppb are considered to be violating the NAAQS. Sites with future year 5-yearweighted average ozone design values of85

5

## The PM,.5 

## species include sulfate, nitrate, ammonium, particle bound water, elemental carbon, salt, other primaryPM,.5, 

## and organic aerosol mass (by difference). Organic aerosol mass by difference is defined as the difference between FRMPM,.5 

## and the sumofthe 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 predictedto be nonattainment. Sites with future year maximum design values of85 ppb or greater are predictedto be future year maintenance sites.

2012 Model Results [01' 

## the West

We have used the approach ofthe proposed TransportRule to identifymonitors in the West that are projected to show nonattainment or maintenance problems in 2012. EPA did not evaluate the contribution ofthe western states to other states in the proposed TransportRule. However, as shown in Figure 1, the western states are within the scope ofthe 36 km modeling domain. Therefore, future year projected design values forwestern states canbe calculated from the modeling. Using the same approach as used in the transportrule, we are able to evaluate whethermonitors in these western states should be consideredmaintenancereceptors for purposes ofother section 110(a)(2)(D) actions. Appendix A and B containthe model projected 2012 design values for 8-hourozone and annual average PM2 5 

## for the West. This includes design values for the States ofMontana, Wyoming, Colorado, New Mexico, Arizona, Utah, Idaho, Washington, Oregon, Nevada, and California. The 2012 design values for the rest ofthe continental U.S. is documented in Appendix B ofthe TransportRule 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 ambientdesign values. Appendix B contains projected 2012 8-hourozone (1997 NAAQS) design values based on the average ambient design values and the maximum ambientdesign 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 projecteddesign values could not be calculated from the TransportRule modeling results. This was due to a limited number of"high" modeled ozone days. The TransportRule ozone design value projection methodology followed the recommendedprocedure from the ozone modeling guidance. In order to calculate a valid future year design value, the relative change in modeled ozone mustbe based on the average ofat least 5 modeled days with base year concentrations of>= 70 ppb. No future year design values were calculated for sites which did not meetthis criteria. Consistentwith the modeling guidance and the Transport Rule, future year ozone design values were notcalculated for sites which did not meetthe minimum datarequirements. Appendix C contains the sites which have valid base yeardesign 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 ofNew Mexico, Colorado, Wyoming, and Montanawhich are in both the 36 km and 12 km CAMx modeling domains. Onlythe 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 2012Annual 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 Countv Latitude Longitude 

### (ug/m3) (ua/m31 (ua/m3l 

### (ug/m3l 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 Imcerial 32.67611 -115.4833 12.71 12.9 12.18 12.36 60250007 California lmoerial 32.97835 -115.5383 8.39 8.61 8.12 8.33 60251003 California lmoerial 32.79167 -115.5617 9.2 9.43 8.92 9.14 60271003 California tnvo 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 Kinas 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 LosAngeles 34.1365 -117.9239 17.03 18.19 15.86 16.94 60371002 California LosAnqeles 34.17605 -118.3171 18.19 19.68 16.87 18.25 60371103 California Los Anceles 34.06659 -118.2269 18 19.61 16.66 18.14 60371201 California Los Anaeles 34.19925 -118.5328 15.35 15.35 14.52 14.52 60371301 California LosAnaeles 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 LosAnaeles 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 Anceles 33.79236 -118.1753 15.21 15.21 14.29 14.29 60379033 California Los Anoeles 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

### t.003-;~07**~003-2l~07** 2012 2012 12km Monitor ID State County Latitude Longitude ug/m3 

### ua/m3

### i~a/m31 (ug/m31 domain? 60571001 California Nevada 39.33861 -120.1703 6.71 7.06 6.26 6.58 60590007 California Oranae 33.83062 -117.9385 15.75 16.32 14.73 15.26 60592022 California Oranae 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 SanBernardino 34.10688 -117.2741 19.01 20.45 17.84 19.19 60730001 California San Dieao 32.63123 -117.0591 11.92 12.16 11.61 11.84 60730003 California San Dieoo 32.79119 -116.9421 12.27 12.82 11.95 12.48 60730006 California San Dieao 32.83646 -117.1287 10.59 10.69 10.31 10.42 60731002 California San Dleoo 33.12771 -117.0753 12.79 13.45 12.62 13.27 60731010 California San Dieao 32.70149 -117.1497 13.38 13.85 13.04 13.5 60750005 California SanFrancisco 37.766 -122.3991 9.62 9.87 10.08 10.34 60771002 California 

### SanJoaquin 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 SantaBarbara 34.42778 -119.6903 10.37 10.57 10.26 10.46 60850005 California SantaClara 37.3485 -121.8950 11.38 11.7 12.06 12.39 

### e-- 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 10.68 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 Countv Latitude Lonaitude 

### (ua/m3) (ug/m3) 

### (ua/ma) (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 El Paso 38.89598 -104.7613 6.73 6.73 6.34 6.34 Yes 

### -_. 80410011 Colorado El 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 Miauel 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 4020939 -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 andClark 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 1027 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 Lonoitude 

### luo/m3\ (uo/m3\ lua/m3\ lug/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 Oreaon Jackson 42.31408 -122.8792 10.32 10.66 9.94 10.27 410291001 Oreaon Jackson 42.53611 -122.8750 5.41 5.55 5.28 5.42 410350004 Oreaon Klamath 42.18889 -121.7225 11.2 11.37 10.69 10.86 410390060 oreoon Lane 44.02631 -123.0837 8.64 8.92 8.46 8.74 410391007 Oregon Lane 43.8345 -123.0353 6.35 6.35 6.23 6.23 410391009 Oreoon 

### Lane 44.0467 -123.0177 7.56 7.73 7.4 7.57 410392013 Oreoon Lane 43.74435 -122.4805 11.93 12.37 11.6 12.03 410510080 Oreaon Multnomah 45.49667 -122.6022 9.13 9.45 8.9 9.21 410510246 Oreaon Multnomah 45.5613 -122.6788 8.35 8.57 8.14 8.36 410610119 Oreaon Union 45.33897 -118.0945 8.35 8.52 8.08 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 -111.8845 10.31 10.6 9.83 10.11 490350003 Utah Salt Lake 40.64667 -111.8497 11.68 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 -111.8722 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 8.19 490490002 Utah Utah 40.25361 -111.6631 10 10.04 9.32 9.35 490494001 Utah Utah 40.34139 -111.7136 10.51 10.73 9.8 9.99 490495008 Utah Utah 40.43028 -111.8039 8.88 9.11 8.36 8.57 490495010 Utah Utah 40.13639 -111.6597 8.78 8.91 8.18 8.31 490570002 Utah Weber 41.20639 -111.9747 11.16 11.45 10.51 10.77 490570007 Utah Weber 41.17972 -111.9831 9.28 9.54 8.73 8.98 490571003 Utah Weber 41.30368 -111.9871 9.36 9.54 8.8 8.97 530330024 Washinaton Kina 47.755 -122.2806 9.15 9.27 9.06 9.17 530330057 Washinaton Kina 47.5632 -122.3405 11.24 11.24 11.1 11.1 530330080 Washinaton Kina 47.56833 -122.3081 8.13 8.13 8.04 8.04 530530029 Washington Pierce 47.1864 -122.4517 10.55 10.78 10.45 10.68 530611007 Washington Snohomish 48.05556 -122.1758 9.91 10.35 9.77 10.21 530630016 wasrunoton Spokane 47.66074 -117.3581 9.97 10.19 9.31 9.52 560050877 Wvomina Campbell 43.67694 -105.2358 6.29 6.29 6.16 6.16 Yes 560050892 Wyoming Campbell 44.09889 -105.3428 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 Countv Latitude Lonqitude (ualm3) (ualm3) (ualm3) (ug/m3) domain?

560050899 Wvomino Camobell 44.46597 -105.5517 5.37 5.49 5.25 5.37 Yes 560090819 Wvomino Converse 43.42667 -105.3858 3.52 3.6 3.41 3.48 Yes 560131003 Wvomino 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

Baseyear2003-2007 and Future Year 20128-HourAverage 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 Countv Latitude Longitude (ppb) 

### (ppb) (ppb) (cob) 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 Maricooa 33.5694 -112.1915 76.7 79 69.3 71.4 40132005 Arizona Maricooa 33.7123 -111.8527 77 78 68.3 69.2 40133002 Arizona Maricooa 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 Mancona 33.4124 -111.9347 75.7 77 69.3 70.5 40134008 Arizona Marlcaoa 33.8217 -112.0174 79.3 80 69.8 70.4 40134010 Arizona Maricooa 33.6371 -112.3418 67.3 68 60.3 60.9 40134011 Arizona Maricona 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 Maricooa 33.9828 -111.7987 82 84 72.6 74.3 40139702 Arizona Maricooa 33.5455 -111.6093 73 80 64.8 71 40139704 Arizona Maricooa 33.6110 -111.7253 82 82 72.8 72.8 40139706 Arizona Maricooa 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 Imoerial 32.6778 -115.3897 76.7 79 70.1 72.2 60251003 California Imoeria! 32.7917 -115.5617 85 86 77.7 78.6 60254003 California 1maerial 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 Kinas 36.3144 -119.6436 85.7 88 77 79.1 60370002 California Los Anqeles 34.1365 -117.9239 91.7 94 88.8 91.1 60370016 California Los Anqeles 34.1444 -117.8504 102 105 98.8 101.7 60370113 California Los Anoeles 34.0511 -118.4564 73.7 78 70.8 74.9 60371002 California Los Anaeles 34.1761 -118.3171 89 89 86.3 86.3 60371103 California LosAnaeles 34.0666 -118.2269 74 76 71.7 73.7 60371201 California LosAnaeles 34.1993 -118.5328 101.7 106 97.7 101.9 60371701 California LosAngeles 34.0670 -117.7514 100.3 102 103.3 105.1 60372005 California Los Anqeles 34.1326 -118.1272 91.3 93 88.5 90.2 60376012 California Los Anaeles 34.3834 -118.5284 114 120 103.1 108.5 60379033 California LosAnaeles 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 Oranae 33.6746 -117.9257 68 73 66.1 71 60592022 California Oranqe 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 Countv Latitude Longitude 

### (ppb) (ppb) (pob) (ppbl 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 Dieao 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 Dleqc 32.9521 -117.2641 69 70 66.9 67.9 60731002 California San Dieoo 33.1277 -117.0753 73.3 74 68.3 69 60731006 California San Dieoc 32.8423 -116.7683 87.7 89 81.2 82.4 60731008 California San Dieao 33.2170 -117.3962 73 76 69.1 72 60731010 California San Dieoo 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 Joaauin 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) (onb) 

### (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 SantaClara 37.4019 -121.8425 59 59 56.9 56.9 60852006 California SantaClara 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 80950005 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 81130004 California Yolo 38.5333 -121.7750 74 75 69.6 70.5 61131003 California 

### Yolo 38.6619 -121.7278 78.7 80 74 75.2 80013001 Colorado Adams 39.8381 -104.9498 69 70 68.8 67.7 

### ves 80050002 Colorado 

### Arapahoe 39.5679 -104.9572 78.7 81 76 78.2 

### ves 80130011 Colorado Boulder 39.9572 -105.2385 77 81 73.4 77.2 

### ves 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 

### ves 80590002 Colorado Jefferson 39.8003 -105.1000 76.3 79 73.9 76.6 

### ves 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 El 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 NewMexico DonaAna 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 NewMexico 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 NewMexico SanJuan 36.7422 -107.9769 69.7 72 66.4 68.6 yes 350451005 New Mexico SanJuan 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 NewMexico Bernalillo 35.1932 -106.6138 73.7 75 67.4 68.6 350011014 NewMexico Bernalillo 35.2022 . -106.6493 70.3 71 64.3 65 350431003 NewMexico 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 NewMexico SanJuan 36.7967 -108.4725 71.3 72 67.7 68.4 490030003 Utah BoxElder 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 Countv 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 year2003-20078-HourAverage Ozone Design ValuesWestern State Monitors Where a Future YearDesign 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 Countv Latitude Lonaitude (nob) (oob) 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 Invo 36.5086 -116.8478 82.3 84 -9 -9 60333001 California 

### Lake 39.0314 -122.9222 60.7 61 -9 -9 60371301 California Los Anoeles 33.9290 -118.2107 62 64 -9 -9 60371602 California Los Anqeles 34.0119 -118.0700 70 70 -9 -9 60374002 California Los Anaeles 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 Monterev 36.4958 -121.7306 61 63 -9 -9 60530005 California Monterev 36.2275 -121.1156 58.3 60 -9 -9 60550003 California 

### NaDa 38.3108 -122.2947 59.3 61 -9 -9 60590007 California Oranoe 33.8306 -117.9385 77.3 81 -9 -9 60595001 California Oranqe 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 Obisoo 35.3657 -120.8429 54.3 56 -9 -9 60794002 California San Luis Oblsoo 35.0315 -120.5009 80.7 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 Countv 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 SantaBarbara 34.7256 -120.4278 66.3 70 -9 -9 60831018 California SantaBarbara 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 SantaClara 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 Sisklvou 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 Canvon 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 NewMexico 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 NewMexico Dona Ana 32.0411 -106.4092 70.7 72 -9 -9 350130021 NewMexico Dona Ana 31.7961 -106.5839 75.3 77 -9 -9 350130022 NewMexico Dona Ana 31.7878 -106.6828 72.7 74 -9 -9 350130023 NewMexico Dona Ana 32.3175 -106.7678 66.5 67 -9 -9 350151005 NewMexico Eddv 32.3800 -104.2622 69 69 -9 -9 350171003 NewMexico Grant 32.6919 -108.1244 66 66 -9 -9 350250008 NewMexico Lea 32.7267 -103.1229 69.5 71 -9 -9 350431001 NewMexico 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 Countv Latitude Longitude 

### (ppb) (ppb) 

### 2012 2012 350439004 New Mexico Sandoval 35.6153 -106.7244 71 71 -9 -9 410050004 Oreaon Clackamas 45.2597 -122.5875 66.3 68 -9 -9 410052002 Oreoon Clackamas 45.4432 -122.6380 56.7 58 -9 -9 410090004 Oreqon Columbia 45.7681 -122.7719 58.7 60 -9 -9 410290201 orecon Jackson 42.2294 -122.7875 68 69 -9 -9 410390060 Oreoon Lane 44.0263 -123.0837 66.7 68 -9 -9 410391007 Oreaon Lane 43.8345 -123.0353 69.3 72 -9 -9 410470004 Oreaon Marion 44.8094 -122.9136 65.7 66 -9 -9 410510080 Oreaon 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 Washinaton 37.1983 -113.1506 78.5 79 -9 -9 530110011 Washinaton Clark 45.6167 -122.5167 59.5 60 -9 -9 530330010 Washinaton Kino 47.5525 -122.0647 60.3 61 -9 -9 530330017 Washinaton Kino 47.4897 -121.7733 66.3 71 -9 -9 530330023 washlnoton King 47.1411 -121.9331 72.3 74 -9 -9 530390003 Washinqton Klickitat 45.6662 -121.0007 64.5 65 -9 -9 530530012 Washinqton Pierce 46.7853 -121.7328 63 67 -9 -9 530531008 Washinaton Pierce 46.8431 -122.3175 68.7 70 -9 -9 530570018 Washinaton Skaait 48.4601 -122.5191 46 47 -9 -9 530630001 Washinaton Sookane 47.4165 -117.5300 61 62 -9 -9 530630046 Washinaton Sookane 47.8272 -117.2753 68.3 71 -9 -9 530670002 washmoton Thurston 46.9364 -122.6108 65 65 -9 -9 530730005 Washinaton Whatcom 48.9526 -122.5545 57 57 -9 -9 560050123 Wvomina Camobell 44.6721 -105.2903 67.3 69 -9 -9 560050456 Wvomina Campbell 44.1470 -105.5300 65.3 67 -9 -9 560350098 Wvomina 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