# Annex A. Atmospheric Science

YukonKoyukuk

Alaska

0 0 0 670 1,458 92 6,613 0 19,136 145,340 88,239

23,049 1,697 8,403,258

0 2,000,000 4,000,000 6,000,000 8,000,000 10,000,000 SOLVENT UTILIZATION

MISCELLANEOUS STORAGE & TRANSPORT CHEMICAL & ALLIED PRODUCT MFG PETROLEUM & RELATED INDUSTRIES

OTHER INDUSTRIAL PROCESSES FUEL COMB. ELEC. UTIL. METALS PROCESSING FUEL COMB. INDUSTRIAL WASTE DISPOSAL & RECYCLING FUEL COMB. OTHER FIRES NON-ROAD EQUIPMENT

ON-ROAD VEHICLES

Emissions (tons) Anthropogenic Biogenic

Yukon-Koyukuk Census Area

0 0 2,494 3,758

406
52 0 0 0 0 8,095,364

0 0 0

0 2,000,000 4,000,000 6,000,000 8,000,000 10,000,000 SOLVENT UTILIZATION

MISCELLANEOUS STORAGE & TRANSPORT CHEMICAL & ALLIED PRODUCT MFG PETROLEUM & RELATED INDUSTRIES

OTHER INDUSTRIAL PROCESSES FUEL COMB. ELEC. UTIL. METALS PROCESSING FUEL COMB. INDUSTRIAL WASTE DISPOSAL & RECYCLING FUEL COMB. OTHER FIRES NON-ROAD EQUIPMENT

ON-ROAD VEHICLES

Emissions (tons) Anthropogenic Biogenic


# Figure A-1. CO emissions density map and distribution for the state of Alaska and for YukonKoyukuk County in Alaska.

January 2010 A-1Weber

Utah
Grand

Utah

14 91 13 19 1,312

37,877 4,252 2,314 3,733 153 41,697 271,971 183,533 764,676

136,584

0 250,000 500,000 750,000 1,000,000 SOLVENT UTILIZATION

MISCELLANEOUS STORAGE & TRANSPORT CHEMICAL & ALLIED PRODUCT MFG PETROLEUM & RELATED INDUSTRIES

OTHER INDUSTRIAL PROCESSES FUEL COMB. ELEC. UTIL. METALS PROCESSING FUEL COMB. INDUSTRIAL WASTE DISPOSAL & RECYCLING FUEL COMB. OTHER SOILS FIRES NON-ROAD EQUIPMENT

ON-ROAD VEHICLES

Emissions (tons) Anthropogenic Biogenic Weber County

2 8 0 0 25 2,038 73 2 37 0 1,521 985 932 11,842 45,690

0 25,000 50,000 SOLVENT UTILIZATION

MISCELLANEOUS STORAGE & TRANSPORT CHEMICAL & ALLIED PRODUCT MFG PETROLEUM & RELATED INDUSTRIES

OTHER INDUSTRIAL PROCESSES FUEL COMB. ELEC. UTIL. METALS PROCESSING FUEL COMB. INDUSTRIAL WASTE DISPOSAL & RECYCLING FUEL COMB. OTHER SOILS FIRES NON-ROAD EQUIPMENT

ON-ROAD VEHICLES

Emissions (tons) Anthropogenic Biogenic

Utah County

0 12 0 1 48 38 1 1,258 369 2 3,599 88,391 20,120

3,019 4,769

0 25,000 50,000 75,000 100,000 SOLVENT UTILIZATION

MISCELLANEOUS STORAGE & TRANSPORT CHEMICAL & ALLIED PRODUCT MFG PETROLEUM & RELATED INDUSTRIES

OTHER INDUSTRIAL PROCESSES FUEL COMB. ELEC. UTIL. METALS PROCESSING FUEL COMB. INDUSTRIAL WASTE DISPOSAL & RECYCLING FUEL COMB. OTHER SOILS FIRES NON-ROAD EQUIPMENT

ON-ROAD VEHICLES

Emissions (tons) Anthropogenic Biogenic Grand County

0 0 0 0 0 5 0 0 1 0 992 7,219 2,596

6,596 3,939

0 2,500 5,000 7,500 10,000 SOLVENT UTILIZATION

MISCELLANEOUS STORAGE & TRANSPORT CHEMICAL & ALLIED PRODUCT MFG PETROLEUM & RELATED INDUSTRIES

OTHER INDUSTRIAL PROCESSES FUEL COMB. ELEC. UTIL. METALS PROCESSING FUEL COMB. INDUSTRIAL WASTE DISPOSAL & RECYCLING FUEL COMB. OTHER SOILS FIRES NON-ROAD EQUIPMENT

ON-ROAD VEHICLES

Emissions (tons) Anthropogenic Biogenic


# Figure A-2. CO emissions density map and distribution for the state of Utah and for selected counties in Utah.

January 2010 A-2Suffolk Middlesex

Norfolk

Massachusetts

11 68 17 78 29 870 11,569 105 21,970 3,861 119,337 703 441,814 960,011

10,807

0 250,000 500,000 750,000 1,000,000 SOLVENT UTILIZATION

MISCELLANEOUS STORAGE & TRANSPORT CHEMICAL & ALLIED PRODUCT MFG PETROLEUM & RELATED INDUSTRIES

OTHER INDUSTRIAL PROCESSES FUEL COMB. ELEC. UTIL. METALS PROCESSING FUEL COMB. INDUSTRIAL WASTE DISPOSAL & RECYCLING FUEL COMB. OTHER SOILS FIRES NON-ROAD EQUIPMENT

ON-ROAD VEHICLES

Emissions (tons) Anthropogenic Biogenic Middlesex County

224,697 92,849

2 10 0 0 1 179 492 31 5,465 321 19,297 73 1,024

0 25,000 50,000 75,000 100,000 125,000 150,000 175,000 200,000 225,000 250,000 SOLVENT UTILIZATION

MISCELLANEOUS STORAGE & TRANSPORT CHEMICAL & ALLIED PRODUCT MFG PETROLEUM & RELATED INDUSTRIES

OTHER INDUSTRIAL PROCESSES FUEL COMB. ELEC. UTIL. METALS PROCESSING FUEL COMB. INDUSTRIAL WASTE DISPOSAL & RECYCLING FUEL COMB. OTHER SOILS FIRES NON-ROAD EQUIPMENT

ON-ROAD VEHICLES

Emissions (tons) Anthropogenic Biogenic

Norfolk County

160,676 42,121 54

9,700 285 2,161 0 189 71 18 76
0 4 2 670

0 50,000 100,000 150,000 200,000 SOLVENT UTILIZATION

MISCELLANEOUS STORAGE & TRANSPORT CHEMICAL & ALLIED PRODUCT MFG PETROLEUM & RELATED INDUSTRIES

OTHER INDUSTRIAL PROCESSES FUEL COMB. ELEC. UTIL. METALS PROCESSING FUEL COMB. INDUSTRIAL WASTE DISPOSAL & RECYCLING FUEL COMB. OTHER SOILS FIRES NON-ROAD EQUIPMENT

ON-ROAD VEHICLES

Emissions (tons) Anthropogenic Biogenic Suffolk County

30,901 66,491

0 0 0

0 11 114 225 0 1,295 1 3,022 99 254

0 25,000 50,000 75,000 SOLVENT UTILIZATION

MISCELLANEOUS STORAGE & TRANSPORT CHEMICAL & ALLIED PRODUCT MFG PETROLEUM & RELATED INDUSTRIES

OTHER INDUSTRIAL PROCESSES FUEL COMB. ELEC. UTIL. METALS PROCESSING FUEL COMB. INDUSTRIAL WASTE DISPOSAL & RECYCLING FUEL COMB. OTHER SOILS FIRES NON-ROAD EQUIPMENT

ON-ROAD VEHICLES

Emissions (tons) Anthropogenic Biogenic


# Figure A-3. CO emissions density map and distribution for the state of Massachusetts and for selected counties in Massachusetts.

January 2010 A-3Fulton Dekalb

Chatham

Liberty Glynn

Georgia

11 68 17 960,011 441,814

119,337 3,861 21,970
105 11,569 870 29 78 182,591 703

0 250,000 500,000 750,000 1,000,000 1,250,000 SOLVENT UTILIZATION

MISCELLANEOUS STORAGE & TRANSPORT CHEMICAL & ALLIED PRODUCT MFG PETROLEUM & RELATED INDUSTRIES

OTHER INDUSTRIAL PROCESSES FUEL COMB. ELEC. UTIL. METALS PROCESSING FUEL COMB. INDUSTRIAL WASTE DISPOSAL & RECYCLING FUEL COMB. OTHER SOILS FIRES NON-ROAD EQUIPMENT

ON-ROAD VEHICLES

Emissions (tons) Anthropogenic Biogenic

Fulton County

0 28 0 0 0 0 233 41 1,384 279 3,729 221,739 65,982 67 825

0 50,000 100,000 150,000 200,000 250,000 SOLVENT UTILIZATION

MISCELLANEOUS STORAGE & TRANSPORT CHEMICAL & ALLIED PRODUCT MFG PETROLEUM & RELATED INDUSTRIES

OTHER INDUSTRIAL PROCESSES FUEL COMB. ELEC. UTIL. METALS PROCESSING FUEL COMB. INDUSTRIAL WASTE DISPOSAL & RECYCLING FUEL COMB. OTHER SOILS FIRES NON-ROAD EQUIPMENT

ON-ROAD VEHICLES

Emissions (tons) Anthropogenic Biogenic Dekalb County

62,735 141,889

0 0 5 1 0 102 0 988 254 2,938

0 812 1

0 25,000 50,000 75,000 100,000 125,000 150,000 175,000 SOLVENT UTILIZATION

MISCELLANEOUS STORAGE & TRANSPORT CHEMICAL & ALLIED PRODUCT MFG PETROLEUM & RELATED INDUSTRIES

OTHER INDUSTRIAL PROCESSES FUEL COMB. ELEC. UTIL. METALS PROCESSING FUEL COMB. INDUSTRIAL WASTE DISPOSAL & RECYCLING FUEL COMB. OTHER SOILS FIRES NON-ROAD EQUIPMENT

ON-ROAD VEHICLES

Emissions (tons) Anthropogenic Biogenic


# Figure A-4. CO emissions density map and di stribution for the state of Georgia and for selected counties in Georgia (Figure 1 of 2).

January 2010 A-4Chatham County

24,908 54,182

0 0 0 18 0 1,831 189 1,635 73 1,168

0 1,315 561

0 25,000 50,000 SOLVENT UTILIZATION

MISCELLANEOUS STORAGE & TRANSPORT CHEMICAL & ALLIED PRODUCT MFG PETROLEUM & RELATED INDUSTRIES

OTHER INDUSTRIAL PROCESSES FUEL COMB. ELEC. UTIL. METALS PROCESSING FUEL COMB. INDUSTRIAL WASTE DISPOSAL & RECYCLING FUEL COMB. OTHER SOILS FIRES NON-ROAD EQUIPMENT

ON-ROAD VEHICLES

Emissions (tons) Anthropogenic Biogenic Liberty County

0 3,423 15,423

11,018

256 55,427
52 0 0 373 0 12

0 0 1,626

0 25,000 50,000 SOLVENT UTILIZATION

MISCELLANEOUS STORAGE & TRANSPORT CHEMICAL & ALLIED PRODUCT MFG PETROLEUM & RELATED INDUSTRIES

OTHER INDUSTRIAL PROCESSES FUEL COMB. ELEC. UTIL. METALS PROCESSING FUEL COMB. INDUSTRIAL WASTE DISPOSAL & RECYCLING FUEL COMB. OTHER SOILS FIRES NON-ROAD EQUIPMENT

ON-ROAD VEHICLES

Emissions (tons) Anthropogenic Biogenic 

## `

Glynn County

0 0 0 0 0 6,619 377 0 3,002

1,129 188

1,504 390 10,619 21,140

0 5,000 10,000 15,000 20,000 25,000 SOLVENT UTILIZATION

MISCELLANEOUS STORAGE & TRANSPORT CHEMICAL & ALLIED PRODUCT MFG PETROLEUM & RELATED INDUSTRIES

OTHER INDUSTRIAL PROCESSES FUEL COMB. ELEC. UTIL. METALS PROCESSING FUEL COMB. INDUSTRIAL WASTE DISPOSAL & RECYCLING FUEL COMB. OTHER SOILS FIRES NON-ROAD EQUIPMENT

ON-ROAD VEHICLES

Emissions (tons) Anthropogenic Biogenic


# Figure A-5. CO emissions distribution for se lected counties in Georgia (Figure 2 of 2).

January 2010 A-5Los Angeles

San Diego Orange

California

3,436,059 1,170,637 736,797 410,414 321,342 22,261 85,727
498 28,707 16,763 7,225 351 277 14,322 290
0 1,000,000 2,000,000 3,000,000 4,000,000 SOLVENT UTILIZATION

MISCELLANEOUS STORAGE & TRANSPORT CHEMICAL & ALLIED PRODUCT MFG PETROLEUM & RELATED INDUSTRIES

OTHER INDUSTRIAL PROCESSES FUEL COMB. ELEC. UTIL. METALS PROCESSING FUEL COMB. INDUSTRIAL WASTE DISPOSAL & RECYCLING FUEL COMB. OTHER SOILS FIRES NON-ROAD EQUIPMENT

ON-ROAD VEHICLES

Emissions (tons) Anthropogenic Biogenic Los Angeles County

2 86 1 12 2,425 500 9,814 79 24,537 142 10,927 8,085

63,164 212,892 824,676

0 250,000 500,000 750,000 1,000,000 SOLVENT UTILIZATION

MISCELLANEOUS STORAGE & TRANSPORT CHEMICAL & ALLIED PRODUCT MFG PETROLEUM & RELATED INDUSTRIES

OTHER INDUSTRIAL PROCESSES FUEL COMB. ELEC. UTIL. METALS PROCESSING FUEL COMB. INDUSTRIAL WASTE DISPOSAL & RECYCLING FUEL COMB. OTHER SOILS FIRES NON-ROAD EQUIPMENT

ON-ROAD VEHICLES

Emissions (tons) Anthropogenic Biogenic

San Diego County

0 5,260 0 0 132 98 895 0 4,935 162 25,768 10,580 62,392 101,515 283,597

0 100,000 200,000 300,000 400,000 SOLVENT UTILIZATION

MISCELLANEOUS STORAGE & TRANSPORT CHEMICAL & ALLIED PRODUCT MFG PETROLEUM & RELATED INDUSTRIES

OTHER INDUSTRIAL PROCESSES FUEL COMB. ELEC. UTIL. METALS PROCESSING FUEL COMB. INDUSTRIAL WASTE DISPOSAL & RECYCLING FUEL COMB. OTHER SOILS FIRES NON-ROAD EQUIPMENT

ON-ROAD VEHICLES

Emissions (tons) Anthropogenic Biogenic Orange County

1 18 0 0 17 46 655 0 3,761 107 3,593 2,374 1,145 103,377 220,477

0 100,000 200,000 SOLVENT UTILIZATION

MISCELLANEOUS STORAGE & TRANSPORT CHEMICAL & ALLIED PRODUCT MFG PETROLEUM & RELATED INDUSTRIES

OTHER INDUSTRIAL PROCESSES FUEL COMB. ELEC. UTIL. METALS PROCESSING FUEL COMB. INDUSTRIAL WASTE DISPOSAL & RECYCLING FUEL COMB. OTHER SOILS FIRES NON-ROAD EQUIPMENT

ON-ROAD VEHICLES

Emissions (tons) Anthropogenic Biogenic


# Figure A-6. CO emissions density map and distribution for the state of California and for selected counties in California.

January 2010 A-6Jefferson

Alabama

216 128 174 5,721 13,619 48,004 11,212

38,247 67,132 104,914 71,052

146,582 308,000 389,081 1,237,459

0 500,000 1,000,000 1,500,000 SOLVENT UTILIZATION

MISCELLANEOUS STORAGE & TRANSPORT CHEMICAL & ALLIED PRODUCT MFG PETROLEUM & RELATED INDUSTRIES

OTHER INDUSTRIAL PROCESSES FUEL COMB. ELEC. UTIL. METALS PROCESSING FUEL COMB. INDUSTRIAL WASTE DISPOSAL & RECYCLING FUEL COMB. OTHER SOILS FIRES NON-ROAD EQUIPMENT

ON-ROAD VEHICLES

Emissions (tons) Anthropogenic Biogenic

Jefferson County

181,846 47,932
546 2,655 2,888 2,176 38,088 27,010 3,360 13,592 145 5 54 19
8
0 50,000 100,000 150,000 200,000 SOLVENT UTILIZATION

MISCELLANEOUS STORAGE & TRANSPORT CHEMICAL & ALLIED PRODUCT MFG PETROLEUM & RELATED INDUSTRIES

OTHER INDUSTRIAL PROCESSES FUEL COMB. ELEC. UTIL. METALS PROCESSING FUEL COMB. INDUSTRIAL WASTE DISPOSAL & RECYCLING FUEL COMB. OTHER SOILS FIRES NON-ROAD EQUIPMENT

ON-ROAD VEHICLES

Emissions (tons) Anthropogenic Biogenic



# Figure A-7. CO emissions density map and distribution for the state of Alabama and for Jefferson County in Alabama.

January 2010 A-7

# Table A-1. Listing of all CO monitors currently in use, along with their limits of detection.

Method Code Method Description Refe rence Method Id Fed MDL (ppm)
008 BENDIX 8501-5CA RFCA-0276-008 0.50000 012 BECKMAN 866 RFCA-0876-012 0.50000 018 MSA 202S RFCA-0177-018 0.50000 033 HORIBA AQM-10--11--12 RFCA-1278-033 0.50000 041 MONITOR LABS 8310 RFCA-0979-041 0.50000 048 HORIBA 300E/300S E RFCA-1180-048 0.50000 050 MASS-CO 1 (MASSACHUSETTS) RFCA-1280-050 0.50000 051 DASIBI 3003 RFCA-0381-051 0.50000 054 THERMO ELECTRON 48, 48C RFCA-0981-054 0.50000 055 Gas Filter Correlation Thermo Electron 48C-TL N/A 0.04000 066 MONITOR LABS 8830 RFCA-0388-066 0.50000 067 DASIBI 3008 RFCA-0488-067 0.50000 088 LEAR SIEGLER MODEL ML 9830 RFCA-0992-088 0.50000 093 API MODEL 300 GAS FILTER RFCA-1093-093 0.50000 106 HORIBA INSTR. MODE L APMA-360 RFCA-0895-106 0.50000 108 ENVIRONMENT SA MODEL CO11M RFCA-0995-108 0.50000 147 Environnement S.A. Model CO12 M Co Analyzer RFCA-0206-147 0.50000 158 HORIBA INSTR. MODE L APMA-370 RFCA-0506-158 0.50000 167 DKK-TOA Cork Mode GFC-311E RFCA-0907-167 0.50000 172 SIR S.A


# . Model S5006 RFCA-0708-172 0.50000 554 Gas Filter Correlation Thermo Electron 48C-TLE N/A 0.04000 588 Ecotech EC9830T RFCA-0992-088 0.04000 593 API Model 300 EU RFCA-1093-093 0.04000



### January 2010 A-8

# Table A-2. Microscale monitors meeting 75% completeness criteria, 2005-2007.
Monitor Code State Name City Name Traffic Count Road Type 02-090-0002-42101-1 Alaska Fairbanks NR NR 04-013-0016-42101-1 Arizona Phoenix 50,000 ARTERIAL 04-019-1014-42101-1 Arizona Tucson 41,200 MAJ ST OR HY 06-065-1003-42101-1 California Riverside 40,000 FREEWAY 06-073-0007-42101-1 California San Diego 6,000 THRU ST OR HY 08-013-0009-42101-1 Colorado Longmont 20,000 MAJ ST OR HY 08-031-0002-42101-2 Colorado Denv er 17,200 MAJ ST OR HY 08-031-0019-42101-1 Colorado Denv er 500 MAJ ST OR HY 08-041-0015-42101-1 Colorado Colorado Springs 44,200 MAJ ST OR HY 08-077-0018-42101-1 Colorado Grand Junction 13,525 THRU ST OR HY 09-003-0017-42101-1 Connecticut Hartford 10,000 THRU ST OR HY 11-001-023-42101-1 District Of Columbia Washington 30,000 THRU ST OR HY 12-057-1070-42101-1 Florida Tampa 133,855 ARTERIAL 12-086-4002-42101-1 Florida Miami 5,000 LOCAL ST OR HY 12-095-1005-42101-1 Florida Orlando 30,000 MAJ ST OR HY 12-103-0024-42101-1 Florida Saint Pe tersburg 35,000 MAJ ST OR HY 12-103-2008-42101-1 Florida Clearwater 67,751 MAJ ST OR HY 12-115-1004-42101-1 Florida Sarasota 31,000 MAJ ST OR HY 13-121-0099-42101-1 Georgia Atlanta 44,000 MAJ ST OR HY 17-031-0063-42101-1 Illinois Chicago 5,000 LOCAL ST OR HY 17-031-6004-42101-1 Illinois Maywood NR NR 17-143-0036-42101-1 Illinois Peoria 18,500 ARTERIAL 17-167-0008-42101-1 Illinois Springfield 16,400 MAJ ST OR HY 17-201-0011-42101-1 Illinois Ro ckford 11,400 ARTERIAL 18-003-0011-42101-1 Indiana Fort Wayne 30430 MAJ ST OR HY 18-089-0015-42101-1 Indiana East Chicago NR NR 18-097-0072-42101-1 Indiana Indianapolis 21,237 MAJ ST OR HY 18-163-0019-42101-1 Indiana Evansville 24,498 LOCAL ST OR HY 21-111-1019-42101-1 Kentucky Louisville 22,000 MAJ ST OR HY 27-053-0954-42101-1 Minnesota Minneapo lis 29,352 MAJ ST OR HY 27-123-0050-42101-1 Minnesota St. Paul NR NR 27-137-0018-42101-1 Minnesota Duluth 12,000 MAJ ST OR HY 27-145-3048-42101-1 Minnesota St. Cloud NR NR 30-029-0010-42101-1 Montana Kalispell NR THRU ST OR HY 30-031-0013-42101-1 Montana Not in a city 2,000 THRU ST OR HY 33-011-1009-42101-1 New Hampshire Nashua 40,000 MAJ ST OR HY 34-005-1001-42101-1 New Jersey Burlington 8,000 THRU ST OR HY 34-017-1002-42101-1 New Jersey Jersey City 25,000 THRU ST OR HY 37-067-0023-42101-1 North Carolina Wins ton-Salem 22,000 MAJ ST OR HY 39-035-0048-42101-1 Ohio Cleveland 24,300 THRU ST OR HY



### January 2010 A-9

### Monitor Code State Name City Name Traffic Count Road Type 39-035-0051-42101-1 Ohio Cleveland 16,150 MAJ ST OR HY 39-035-0053-42101-1 Ohio Cleveland 19,550 MAJ ST OR HY 39-049-0036-42101-1 Ohio Columbus 16,800 MAJ ST OR HY 39-061-0021-42101-1 Ohio Cincinnati 17,250 LOCAL ST OR HY 39-085-0006-42101-1 Ohio Mentor 25,240 MAJ ST OR HY 39-113-0034-42101-1 Ohio Dayton 7,100 THRU ST OR HY 39-153-0022-42101-1 Ohio Akron 13,150 MAJ ST OR HY 41-029-0018-42101-1 Oregon Medford NR NR 41-039-0013-42101-1 Oregon Eugene 17,500 MAJ ST OR HY 41-051-0087-42101-1 Oregon Portland 4,150 LOCAL ST OR HY 45-079-0020-42101-1 South Carolina Columbia 31,500 MAJ ST OR HY 47-037-0021-42101-1 Tennessee Nashville 15,000 MAJ ST OR HY 47-157-0036-42101-1 Tennessee Memphis 25,000 THRU ST OR HY 48-029-0046-42101-1 Texas San Antonio 5,820 MAJ ST OR HY 48-201-0075-42101-1 Texas Houston 6,576 LOCAL ST OR HY 53-033-0019-42101-1 Washington Bellevue 100,000 MAJ ST OR HY 53-063-0049-42101-1 Washington Spokane 10,000 MAJ ST OR HY “NR” denotes that the value was not reported.



### January 2010 A-10

# Table A-3. Middle scale monitors meeti ng 75% completeness criteria, 2005-2007.
Monitor Code State Name City Name Traffic Count Road Type 04-013-3010-42101-1 Arizona Phoenix 18,500 ARTERIAL 06-029-0010-42101-1 California Ba kersfield 30,300 ARTERIAL 06-037-1301-42101-1 California Lynwood 35,000 ARTERIAL 06-037-9033-42101-1 California Lancas ter 2,320 LOCAL ST OR HY 06-059-1003-42101-1 California Costa Mesa 1,000 LOCAL ST OR HY 06-071-9004-42101-1 California San Ber nardino 21,900 THRU ST OR HY 06-085-0005-42101-1 California San Jose NR LOCAL ST OR HY 12-0011-0010-42101-1 Florida Fort Lauderdale 1,000 LOCAL ST OR HY 12-031-0080-42101-1 Florida Jacksonville 1,000 LOCAL ST OR HY 12-031-0084-42101-1 Florida Jacksonville 500 LOCAL ST OR HY 12-099-1004-42101-1 Florida Palm Beach 30,000 MAJ ST OR HY 12-103-2006-42101-1 Florida Clearwater 23,400 MAJ ST OR HY 17-031-3103-42101-1 Illinois Sch iller Park 47,900 ARTERIAL 20-209-0021-42101-1 Kansas Kansas City 7,720 MAJ ST OR HY 24-510-0040-42101-1 Maryland Baltim ore 15,300 THRU ST OR HY 32-031-0022-42101-1 Nevada Reno NR NR 34-003-0004-42101-1 New Jersey Fort Lee 250,000 ARTERIAL 36-061-0056-42101-1 New York New York 45,000 MAJ ST OR HY 39-049-0005-42101-1 Ohio Columbus 36,600 FREEWAY 39-081-1001-42101-1 Ohio Mingo Junc tion 2,500 LOCAL ST OR HY 39-151-0020-42101-1 Ohio Canton 11,000 MAJ ST OR HY 40-143-0191-42101-1 Oklahoma Tulsa 50,800 FREEWAY 42-003-0038-42101-1 Pennsylvania Pitt sburgh 15,000 MAJ ST OR HY 42-101-0047-42101-1 Pennsylvania Philadelphia NR NR 45-019-0046-42101-1 South Carolina Not in a city NR LOCAL ST OR HY 45-045-0008-42101-1 South Carolina Gr eenville NR LOCAL ST OR HY 45-045-0009-42101-1 South Carolina Taylors 9,500 LOCAL ST OR HY 47-163-0007-42101-1 Tennessee Kingsport NR NR 48-439-1002-42101-1 Texas Fort Worth 100 LOCAL ST OR HY 50-007-0014-42101-1 Vermont Burlington NR MAJ ST OR HY 72-127-0003-42101-1 Puerto Rico S an Juan 64,000 MAJ ST OR HY “NR” denotes that the value was not reported.



### January 2010 A-11

# Table A-4. Neighborhood scale monitors meet ing 75% completeness criteria, 2005-2007.
Monitor Code State Name City Name Traffic Count Road Type 01-073-1003-42101-1 Alabama Fairfield 5,000 LOCAL ST OR HY 01-073-6004-42101-1 Alabama Birmingham NR NR 02-020-0018-42101-1 Alaska Anchorage NR NR 02-020-0048-42101-1 Alaska Anchorage 5,000 LOCAL ST OR HY 02-090-0020-42101-1 Alaska Fairbanks NR NR 04-013-0019-42101-1 Arizona Phoenix NR LOCAL ST OR HY 04-013-3002-42101-1 Arizona Phoenix 24,000 ARTERIAL 04-019-0002-42101-1 Arizona Tucson 37,400 MAJ ST OR HY 04-019-1011-42101-1 Arizona Tucson 47,000 MAJ ST OR HY 04-019-1028-42101-1 Arizona Tucson 52,900 MAJ ST OR HY 06-001-1001-42101-1 California Fremont (C enterville) 500 LOCAL ST OR HY 06-013-0002-42101-1 California Conc ord 41,218 MAJ ST OR HY 06-037-5005-42101-1 California Los A ngeles 1,252 LOCAL ST OR HY 06-053-1003-42101-1 California Salinas 33,193 THRU ST OR HY 06-065-9001-42101-1 California Lake Elsinore NR NR 06-067-0007-42101-1 California Sacramento 20,000 THRU ST OR HY 06-073-0001-42101-1 California Chula Vista 5,000 LOCAL ST OR HY 06-073-1002-42101-1 California Escondido NR NR 06-073-2007-42101-1 California Otay Mesa 18,000 LOCAL ST OR HY 06-083-1025-42101-1 California Capitan NR NR 06-083-2004-42101-1 California Lompoc NR NR 06-083-2011-42101-1 California Goleta 5,000 THRU ST OR HY 06-083-4003-42101-1 California Vandenberg Air Force Base NR NR 08-01-3001-42101-1 Colorado Welby 500 EXPRESSWAY 08-067-7001-42101-1 Colorado Not in a city 2,436 LOCAL ST OR HY 08-069-1004-42101-1 Colorado Fort Collins 5,000 THRU ST OR HY 08-123-0010-42101-1 Colorado Greeley 6,650 THRU ST OR HY 11-001-0041-42101-1 District Of Columb ia Washington 540 LOCAL ST OR HY 12-011-2004-42101-1 Florida Pompano Beach 1,000 LOCAL ST OR HY 12-011-3002-42101-1 Florida Holly wood 1,000 LOCAL ST OR HY 12-031-0083-42101-1 Florida Jacksonville 10,000 LOCAL ST OR HY 12-086-0031-42101-1 Florida Miami 62,000 MAJ ST OR HY 12-086-1019-42101-1 Florida Miami 8,000 MAJ ST OR HY 12-095-2002-42101-1 Florida Winter Park 7,000 MAJ ST OR HY 12-103-0018-42101-1 Florida Saint Pe tersburg 2,000 MAJ ST OR HY 17-031-4002-42101-1 Illinois Cicero NR NR 17-163-0010-42101-1 Illinois East Sain t Louis 8,900 LOCAL ST OR HY 18-097-0073-42101-1 Indiana Indianapolis (Remainder) 11,261 THRU ST OR HY 20-173-0010-42101-1 Kansas Wichit a 6,884 LOCAL ST OR HY 21-111-0046-42101-1 Kentucky Louisville 6,500 THRU ST OR HY



### January 2010 A-12

### Monitor Code State Name City Name Traffic Count Road Type 22-033-0009-42101-1 Louisiana Baton Rouge 5,000 LOCAL ST OR HY 25-013-0016-42101-1 Massachusetts Spri ngfield 5,000 LOCAL ST OR HY 25-017-0007-42101-1 Massachusetts Lowell 15,000 THRU ST OR HY 25-025-0042-42101-1 Massachusetts Bo ston 12,785 LOCAL ST OR HY 27-03-0600-42101-1 Minnesota Fridle y 1,400 LOCAL ST OR HY 27-037-0020-42101-1 Minnesota Rosemount NR NR 27-037-0423-42101-1 Minnesota Inver Grove Heights (RR name Inver Grove) NR NR 29-510-0086-42101-1 Missouri St. Louis 81,850 MAJ ST OR HY 30-111-0085-42101-1 Montana Billings 5,700 THRU ST OR HY 31-055-0035-42101-1 Nebraska Omaha 2,900 LOCAL ST OR HY 32-003-0538-42101-1 Nevada Las Vegas 20,000 LOCAL ST OR HY 32-003-0539-42101-1 Nevada Las V egas 21,000 MAJ ST OR HY 32-003-0561-42101-1 Nevada Las V egas 28,400 MAJ ST OR HY 32-003-1021-42101-1 Nevada Las Vegas NR NR 32-003-2002-42101-1 Nevada Las Vegas 6,750 THRU ST OR HY 32-031-0016-42101-1 Nevada Reno 22,700 LOCAL ST OR HY 32-031-0020-42101-1 Nevada Reno NR NR 32-031-0025-42101-1 Nevada Reno NR NR 32-031-1005-42101-1 Nevada Sparks 2,600 LOCAL ST OR HY 32-031-2009-42101-1 Nevada Lemmon Valley-Golden Valley NR NR 32-510-0004-42101-1 Nevada Carson Ci ty 1 LOCAL ST OR HY 33-011-0020-42101-1 New Hampshire M anchester 500 LOCAL ST OR HY 34-003-5001-42101-1 New Jersey Hackensack 15,000 THRU ST OR HY 34-007-0003-42101-1 New Jersey Camden 45,000 MAJ ST OR HY 35-001-019-42101-1 New Mexico Albuquerque 1 ARTERIAL 35-001-0023-42101-1 New Mexico Albuquerque 41,200 MAJ ST OR HY 35-001-0024-42101-1 New Mexico Albuquerque 15,500 MAJ ST OR HY 35-001-0028-42101-1 New Mexico Albuquerque 2,0600 THRU ST OR HY 35-001-1014-42101-1 New Mexico Albuquerque 8,000 THRU ST OR HY 35-043-9004-42101-1 New Mexico Not in a city 100 LOCAL ST OR HY 36-063-2008-42101-1 New York Niagara Falls 5,000 LOCAL ST OR HY 37-119-0041-42101-1 North Carolina Charlotte 16,400 MAJ ST OR HY 37-119-0041-42101-3 North Carolina Charlotte 16,400 MAJ ST OR HY 39-035-0070-42101-1 Ohio Cleveland 100 LOCAL ST OR HY 39-113-0028-42101-1 Ohio Dayton 5,100 LOCAL ST OR HY 39-153-0020-42101-1 Ohio Akron 200 LOCAL ST OR HY 40-021-9002-42101-1 Oklahoma Park Hill 10,300 LOCAL ST OR HY 40-071-9010-42101-1 Oklahoma Not in a city 300 LOCAL ST OR HY 40-109-0047-42101-1 Oklahoma Oklahoma City 27,000 MAJ ST OR HY 41-051-0080-42101-1 Oregon Portland 5,000 LOCAL ST OR HY 42-003-0031-42101-1 Pennsylvania Pittsburgh 4,562 THRU ST OR HY 42-013-0801-42101-1 Pennsylvania Al toona 100 LOCAL ST OR HY



### January 2010 A-13

### Monitor Code State Name City Name Traffic Count Road Type 42-017-0012-42101-1 Pennsylvania Br istol 500 LOCAL ST OR HY 42-021-0011-42101-1 Pennsylvania Johns town 6,000 LOCAL ST OR HY 42-049-0003-42101-1 Pennsylvania Er ie 1,000 LOCAL ST OR HY 42-071-0007-42101-1 Pennsylvania Lancaster 2,000 THRU ST OR HY 42-073-0015-42101-1 Pennsylvania New Ca stle 4,500 LOCAL ST OR HY 42-091-0013-42101-1 Pennsylvania Norri stown 8,500 MAJ ST OR HY 42-095-0025-42101-1 Pennsylvania Freem ansburg 100 LOCAL ST OR HY 42-101-0004-42101-1 Pennsylvania Ph iladelphia 13800 MAJ ST OR HY 42-101-0027-42101-1 Pennsylvania Ph iladelphia 46000 MAJ ST OR HY 42-107-0003-42101-1 Pennsylvania Shenandoah 100 LOCAL ST OR HY 42-125-0005-42101-1 Pennsylvania Charleroi NR NR 44-007-1010-42101-1 Rhode Island East Providence 100,000 FREEWAY 48-061-0006-42101-1 Texas Brownsville 30 LOCAL ST OR HY 48-113-0069-42101-2 Texas Dallas 1,000 LOCAL ST OR HY 48-141-0002-42101-1 Texas El Paso 7,270 THRU ST OR HY 48-141-0029-42101-1 Texas El Paso 2,790 LOCAL ST OR HY 48-141-0037-42101-1 Texas El Paso 5,000 LOCAL ST OR HY 48-141-0044-42101-1 Texas El Paso 15,200 ARTERIAL 48-141-0053-42101-1 Texas El Paso 1,992 FREEWAY 48-141-0057-42101-1 Texas Socorro 500 LOCAL ST OR HY 48-141-0058-42101-1 Texas El Paso 1,080 LOCAL ST OR HY 48-201-0024-42101-1 Texas Not in a city 5,300 MAJ ST OR HY 48-201-0047-42101-1 Texas Houston 5,860 MAJ ST OR HY 48-201-1035-42101-1 Texas Houston 13,440 MAJ ST OR HY 48-201-1039-42101-1 Texas Deer Park 16010 MAJ ST OR HY 48-439-3011-42101-1 Texas Arlington 10,573 LOCAL ST OR HY 48-453-0014-42101-1 Texas Austin 3,420 LOCAL ST OR HY 48-479-0017-42101-1 Texas Laredo 30,380 ARTERIAL 49-035-0003-42101-1 Utah Not in a city 16,500 THRU ST OR HY 50-021-0002-42101-1 Vermont Rutland NR NR 51-059-0005-42101-1 Virginia Not in a city 25 LOCAL ST OR HY 51-650-0004-42101-2 Virginia Hampton 2,000 LOCAL ST OR HY 51-760-0024-42101-1 Virginia Richmond 7,591 THRU ST OR HY 51-770-0015-42101-1 Virginia Roanoke NR NR 54-009-0011-42101-1 West Virginia Weirton NR NR 54-029-0009-42101-1 West Virginia Weirton NR NR 54-029-1004-42101-1 West Virginia Weirton 50 LOCAL ST OR HY “NR” denotes that the value was not reported.



### January 2010 A-14

# Table A-5. Urban scale monitors meeting 75% completeness criteria, 2005-2007.
Monitor Code State Name City Name Traffic Count Road Type 06-059-0007-42101-1 California Anahei m 1,000 LOCAL ST OR HY 13-089-0002-42101-1 Georgia Decatur 9,250 LOCAL ST OR HY 13-223-0003-42101-1 Georgia Not in a city 6 LOCAL ST OR HY 25-027-0023-42101-1 Massachusetts Wo rcester NR LOCAL ST OR HY 34-007-1001-42101-1 New Jersey Not in a city 4,000 THRU ST OR HY 42-003-0010-42101-1 Pennsylvania Pitt sburgh 1,000 MAJ ST OR HY 42-007-0014-42101-1 Pennsylvani a Beaver Falls NR NR 42-129-0008-42101-1 Pennsylvania Gr eensburg 100 THRU ST OR HY 42-133-0008-42101-1 Pennsylvania York 8,400 THRU ST OR HY 48-141-0055-42101-1 Texas El Paso 2450 LOCAL ST OR HY 51-059-0030-42101-1 Virginia Franconia 200 LOCAL ST OR HY “NR” denotes that the value was not reported. 

# Table A-6. Regional scale moni tors meeting 75% completen ess criteria, 2005-2007.
Monitor Code State Name City Name Traffic Count Road Type 23-009-0103-42101-1 Maine Not in a city 3,500 LOCAL ST OR HY 35-001-0029-42101-1 New Mexico South Valley 8,800 LOCAL ST OR HY “NR” denotes that the value was not reported.



### January 2010 A-15

# Table A-7. Monitors meeting 75% completeness criteria, 2005-2007 with no scale delared.
Monitor Code State Name City Name Traffic Count Road Type 04-013-9997-42101-1 Arizona Phoeni x 250 LOCAL ST OR HY 06-001-0007-42101-1 California Livermore 2,400 LOCAL ST OR HY 06-007-0002-42101-1 California Chic o 44,000 LOCAL ST OR HY 06-013-1002-42101-1 California Bethel Island NR NR 06-013-1004-42101-1 California San Pablo NR THRU ST OR HY 06-013-3001-42101-1 California Pittsburg 9,600 THRU ST OR HY 06-019-0007-42101-1 California Fr esno 500 LOCAL ST OR HY 06-019-0008-42101-1 California Fr esno 20,000 MAJ ST OR HY 06-019-0242-42101-1 California Fr esno 500 LOCAL ST OR HY 06-019-5001-42101-1 California Clovis 16,461 THRU ST OR HY 06-025-0005-42101-1 California Calexico 7,000 LOCAL ST OR HY 06-025-0006-42101-1 California Calexico 10 THRU ST OR HY 06-025-1003-42101-1 California El Centro NR NR 06-037-0002-42101-1 California Azusa 600 THRU ST OR HY 06-037-0113-42101-1 California West Los Angeles NR NR 06-037-1002-42101-1 California Bur bank 2,400 LOCAL ST OR HY 06-037-1103-42101-1 California Los Angeles 9,000 THRU ST OR HY 06-037-1201-42101-1 California Reseda NR NR 06-037-1701-42101-1 California Pomona NR NR 06-037-2005-42101-1 California Pasadena 18,000 THRU ST OR HY 06-037-4002-42101-1 California Long B each 24,000 LOCAL ST OR HY 06-037-6012-42101-1 California Santa Cl arita 4,395 LOCAL ST OR HY 06-041-0001-42101-1 California San Ra fael 15,000 MAJ ST OR HY 06-045-0008-42101-1 California Uki ah 12,000 LOCAL ST OR HY 06-045-0009-42101-1 California Willits 18,000 MAJ ST OR HY 06-055-0003-42101-1 California Napa NR NR 06-059-2022-42101-1 California Mission Viejo 42,400 MAJ ST OR HY 06-059-5001-42101-1 California La Habra NR NR 06-065-5001-42101-1 California Palm Springs NR NR 06-065-8001-42101-1 California Rubidoux (Wes t Riverside) 18,000 THRU ST OR HY 06-067-0002-42101-1 California North Highlands NR NR 06-067-0006-42101-1 California Sacram ento 10,000 LOCAL ST OR HY 06-067-0013-42101-1 California Sacramento 100 LOCAL ST OR HY 06-071-0001-42101-1 California Barstow NR NR 06-071-0306-42101-1 California Victor ville 454 LOCAL ST OR HY 06-071-1004-42101-1 California Upland 15,000 THRU ST OR HY 06-075-0005-42101-1 California San Francisco 240,700 FREEWAY 06-077-1002-42101-1 California Stockton 6,000 LOCAL ST OR HY 06-081-1001-42101-1 California Redwood City 1,000 LOCAL ST OR HY 06-087-0003-42101-1 California Davenport NR NR



### January 2010 A-16

### Monitor Code State Name City Name Traffic Count Road Type 06-095-0004-42101-1 California Vallejo 9,350 THRU ST OR HY 06-097-0003-42101-1 California Santa Rosa 2,608 THRU ST OR HY 06-099-0005-42101-1 California Modesto NR NR 06-099-0006-42101-1 California Turlock 500 LOCAL ST OR HY 09-003-1003-42101-1 Connecticut East Hartford 800 LOCAL ST OR HY 10-003-1008-42101-1 Delaware Not in a city NR NR 10-003-2004-42101-1 Delaware Wilmington 28,046 MAJ ST OR HY 15-003-0010-42101-1 Hawaii Ewa Beach NR NR 18-063-0002-42101-1 Indiana Pitts boro 500 LOCAL ST OR HY 25-025-0002-42101-1 Massachusetts Boston 35,000 MAJ ST OR HY 29-077-0032-42101-1 Missouri Springfie ld 1,000 LOCAL ST OR HY 29-189-0004-42101-1 Missouri Sunset Hills 33,300 MAJ ST OR HY 30-013-0001-42101-1 Montana Great Fa lls 26,155 MAJ ST OR HY 31-109-0018-42101-1 Nebraska Lincoln NR NR 34-023-2003-42101-1 New Jersey Perth Amboy 14,000 LOCAL ST OR HY 34-025-2001-42101-1 New Jersey Freehold NR NR 34-027-0003-42101-1 New Jersey Morristown NR NR 36-001-0012-42101-1 New York Albany 12,000 MAJ ST OR HY 36-029-0005-42101-1 New York Buffalo 26,000 ARTERIAL 36-055-1007-42101-1 New York Rochester NR NR 36-067-0017-42101-1 New York Syracuse NR NR 36-081-0124-42101-1 New York New York 10,000 EXPRESSWAY 36-093-0003-42101-1 New York Schenectady 37,000 EXPRESSWAY 36-103-0009-42101-2 New York Holtsville 10,000 THRU ST OR HY 48-479-0016-42101-1 Texas Laredo 16,180 MAJ ST OR HY 49-057-0006-42101-1 Utah Ogden 38,000 ARTERIAL 51-013-0020-42101-1 Virginia Not in a city 6,000 MAJ ST OR HY 51-059-1005-42101-1 Virginia Annandale 24,000 MAJ ST OR HY 51-059-5001-42101-1 Virginia McLean 36,845 MAJ ST OR HY 51-510-0009-42101-1 Virginia Alexandria 3,974 LOCAL ST OR HY 56-039-1012-42101-1 Wyoming Not in a city NR NR “NR” denotes that the value was not reported.



### January 2010 A-17

# Table A-8. Numbers of high LO D and trace-level monitors in each state that met completeness criteria for 2005-2007.
State Number of high LOD monitors Number of trace-level monitors Alabama 2 0 Alaska 4 0 Arizona 9 0 Arkansas 0 0 California 65 0 Colorado 9 0 Connecticut 2 0 Delaware 2 0 District of Columbia 2 0 Florida 18 0 Georgia 3 0 Hawaii 1 0 Idaho 0 0 Illinois 8 0 Indiana 6 0 Iowa 0 0 Kansas 2 0 Kentucky 2 0 Louisiana 0 1 Maine 0 1 Maryland 1 0 Massachusetts 4 1 Michigan 0 0 Minnesota 7 0 Mississippi 0 0 Missouri 3 0 Montana 4 0 Nebraska 2 0 Nevada 12 0 New Hampshire 2 0 New Jersey 9 0 New Mexico 7 0 New York 9 0 North Carolina 2 1 North Dakota 0 0 Ohio 14 0 Oklahoma 4 0 Oregon 3 1 Pennsylvania 19 0 Puerto Rico 1 0



### January 2010 A-18

### State Number of high LOD monitors Number of trace-level monitors Rhode Island 1 0 South Carolina 3 1 South Dakota 0 0 Tennessee 3 0 Texas 19 2 Utah 2 0 Vermont 2 0 Virginia 9 0 Washington 2 0 West Virginia 3 0 Wisconsin 0 0 Wyoming 1 0



### January 2010 A-19

# Figure A-8. Map of CO monitor locations with respect to population density in the Anchorage CBSA, total population.

Figure A-9. Map of CO monitor locations with respect to population density in the Anchorage CBSA, ages 65 yr and older.

January 2010 A-20

# Figure A-10. Map of CO monitor locations with respect to population density in the Atlanta CSA, total population.

Figure A-11. Map of CO monitor locations with respect to population density in the Atlanta CSA, ages 65 yr and older.

January 2010 A-21

# Figure A-12. Map of CO monitor locations with respect to population density in the Boston CSA, total population.

Figure A-13. Map of CO monitor locations with respect to population density in the Boston CSA, ages 65 yr and older.

January 2010 A-22

# Figure A-14. Map of CO monitor locations with respect to population density in the Houston CSA, total population.

Figure A-15. Map of CO monitor locations with respect to population density in the Houston CSA, ages 65 yr and older.

January 2010 A-23

# Figure A-16. Map of CO monitor locations with respect to population density in the New York City CSA, total population.

Figure A-17. Map of CO monitor locations with respect to population density in the New York City CSA, ages 65 yr and older.

January 2010 A-24

# Figure A-18. Map of CO monitor locations with respect to population density in the Phoenix CSA, total population.

Figure A-19. Map of CO monitor locations with respect to population density in the Phoenix CSA, ages 65 yr and older.

January 2010 A-25

# Figure A-20. Map of CO monitor locations with respect to population density in the Pittsburgh CSA, total population.

Figure A-21. Map of CO monitor locations with respect to population density in the Pittsburgh CSA, ages 65 yr and older.

January 2010 A-26

# Figure A-22. Map of CO monitor locations with respect to population density in the Seattle CSA, total population.

Figure A-23. Map of CO monitor locations with respect to population density in the Seattle CSA, ages 65 yr and older.

January 2010 A-27

# Figure A-24. Map of CO monitor locations with respect to population density in the St. Louis CSA, total population.

Figure A-25. Map of CO monitor locations with respect to population density in the St. Louis CSA, ages 65 yr and older.

January 2010 A-28

# Figure A-26. Map of CO monitor locations with AQS Site IDs for Anchorage, AK.

January 2010 A-29

# Table A-9. Table of inter-sampler comparison statis tics, including Pearson r, P90 (ppm), COD, and d (km), as defined in the text, for each pair of hourly CO monitors reporting to AQS in Anchorage, AK. Neighborhood A B A 1.00 0.73 0.0 1.1 0.00 0.32 0 9.0 B Legend 1.00
r 0.0 P90 0.00Neighborhood

COD 0 d



### January 2010 A-30

### A B Site ID 02 

# - 020 

# - 0018 02 

# - 020 

# - 0048 Mean 1.04 1.10 SD 0.94 1.04 Obs 12969 12703



# Figure A-27. Box plots illustrating the seasonal distribution of hourly CO concentrations in Anchorage, AK. Note: 1 = winter, 2 = spring, 3 = summer, and 4 = fall on the x-axis.

January 2010 A-31

# Figure A-28. Map of CO monitor locations with AQS Site IDs for Atlanta, GA.

January 2010 A-32

# Table A-10. Table of inter-sampler comparison statis tics, including Pearson r, P90 (ppm), COD, and d (km), as defined in the text, for each pair of hourly CO monitors reporting to AQS in Atlanta, GA.
Micro Urban A B C A 1.00 0.60 0.10 0.0 0.5 0.7 0.00 0.27 0.38Micro

0 22.5 61.7 B 1.00 0.12 0.0 0.7 0.00 0.37 0 74.7 C Legend 1.00
r 0.0 P90 0.00Urban

COD 0 d



### January 2010 A-33

# 1 A B C
Site ID 13 

# - 121 

# - 0099 13 

# - 089 

# - 0002 13 

# - 223 

# - 0003 Mean 0.58 0.53 0.30 SD 0.30 0.35 0.13 Obs 25440 25531 25712concentration (ppm)



# 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7



# season 1234 1234 1234

Figure A-29. Box plots illustrating the seasonal distribution of hourly CO concentrations in Atlanta, GA. Note: 1 = winter, 2 = spring, 3 = summer, and 4 = fall on the x-axis.

January 2010 A-34

# Figure A-30. Map of CO monitor locations with AQS Site IDs for Boston, MA.

January 2010 A-35

# Table A-11. Table of inter-sampler comparison statis tics, including Pearson r, P90 (ppm), COD, and d (km), as defined in the text, for each pair of hourly CO monitors reporting to AQS in Boston, MA.
Micro Neighborhood Urban Null A B C D E F G A 1.00 0.50 0.38 0.49 0.43 0.46 0.35 0.0 0.6 0.6 0.5 0.6 0.5 0.7 0.00 0.44 0.46 0.30 0.39 0.25 0.60Micro

0 18.3 57.5 26.1 102.6 61.5 55.1 B 1.00 0.50 0.41 0.40 0.49 0.35 0.0 0.4 0.4 0.4 0.5 0.4 0.00 0.48 0.41 0.40 0.42 0.58 0 39.7 41.3 89.1 57.9 37.2 C 1.00 0.26 0.36 0.37 0.52 0.0 0.5 0.4 0.5 0.4 0.00 0.45 0.47 0.45 0.56 0 80.7 58.7 58.9 2.5 D 1.00 0.29 0.40 0.27 0.0 0.4 0.4 0.5 0.00 0.37 0.28 0.58 Legend 0 128.6 85.8 78.2 E r 1.00 0.34 0.34 P90 0.0 0.5 0.4 COD 0.00 0.39 0.55Neighborhood

d 0 58.9 60.2 F 1.00 0.34 0.0 0.6 0.00 0.59Urban

0 58.0 G 1.00 0.0 0.00Null
0



### January 2010 A-36

### A B C D E F G
Site ID 33 

# - 011 

# - 1009 25 

# - 017 

# - 0007 25 

# - 025 

# - 0042 33 

# - 011 

# - 0020 44 

# - 007 

# - 1010 25 

# - 027 

# - 0023 25 

# - 025 

# - 0002 Mean 0.60 0.33 0.36 0. 45 0.34 0.53 0.26 SD 0.37 0.22 0.26 0. 27 0.22 0.23 0.24 Obs 25869 24362 24260 25197 23707 24446 24134concentration (ppm)



# 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9



# season 1234 1234 1234 1234 1234 1234 1234

Figure A-31. Box plots illustrating the seasonal distribution of hourly CO concentrations in Boston, MA. Note: 1 = winter, 2 = spring, 3 = summer, and 4 = fall on the x-axis.

January 2010 A-37

# Figure A-32. Map of CO monitor locations with AQS Site IDs for Houston, TX.

January 2010 A-38

# Table A-12. Table of inter-sampler comparison statis tics, including Pearson r, P90 (ppm), COD, and d (km), as defined in the text, for each pair of hourly CO monitors reporting to AQS in Houston, TX.
Micro Neighborhood A B C D E 1.00 0.45 0.56 0.53 0.43 A 0.0 0.4 0.4 0.5 0.4 0.00 0.47 0.47 0.74 0.47 0.0 16.7 16.3 9.3 23.5Micro

1.00 0.72 0.56 0.68 B 0.0 0.3 0.5 0.3 0.00 0.29 0.73 0.24 0.0 17.5 19.8 32.2 1.00 0.65 0.63 C 0.0 0.5 0.4 0.00 0.73 0.29 0.0 25.2 39.7 1.00 0.57 D 0.0 0.4 0.00 0.72 Legend 0.0 14.5

r 1.00 E P90 0.0 COD 0.00Neighborhood

d 0.0



### January 2010 A-39

# 1 A B C D E
Site ID 48 

# - 201 

# - 0075 48 

# - 201 

# - 0024 48 

# - 201 

# - 0047 48 

# - 201 

# - 1035 48 

# - 201 

# - 1039 Mean 0.35 0.42 0.39 0.14 0.33 SD 0.26 0.27 0.33 0.22 0.16 Obs 24922 23997 25241 25285 24480concentration (ppm)



# 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6



# season 1234 1234 1234 1234 1234

Figure A-33. Box plots illustrating the seasonal distribution of hourly CO concentrations in Houston, TX. Note: 1 = winter, 2 = spring, 3 = summer, and 4 = fall on the x-axis.

January 2010 A-40

# Figure A-34. Map of CO monitor locations with AQS Site IDs for New York City, NY.

January 2010 A-41

# Table A-13. Table of inter-sampler comparison statis tics, including Pearson r, P90 (ppm), COD, and d (km), as defined in the text, for each pair of hourly CO monitors re porting to AQS in New York City, NY.
Micro Middle Neighborhood Null A B C D E F G H I A 1.00 0.65 0.52 0.64 0.54 0.32 0.48 0.43 0.31

0.0 0.7 0.7 0.8 0.9 0.9 0.9 0.9 1.3 0.00 0.28 0.24 0.29 0.35 0.34 0.34 0.35 0.81Micro

0 15.9 8.9 16.8 29.9 55.0 35.7 20.5 85.5 B 1.00 0.56 0.58 0.55 0.40 0.56 0.41 0.30 0.0 0.4 0.4 0.4 0.4 0.4 0.5 0.8 0.00 0.23 0.22 0.25 0.25 0.24 0.28 0.75 0 10.5 7.0 45.8 70.6 43.7 17.8 76.5 C 1.00 0.54 0.41 0.33 0.41 0.46 0.29 0.0 0.4 0.4 0.4 0.4 0.4 0.7 0.00 0.23 0.28 0.25 0.26 0.26 0.77Middle

0 15.0 37.5 61.0 43.6 12.3 76.8 D 1.00 0.55 0.35 0.54 0.59 0.49 0.0 0.4 0.5 0.4 0.4 0.7 0.00 0.23 0.26 0.23 0.23 0.74Neighborhood

0 45.4 71.5 38.1 24.5 82.9 E 1.00 0.50 0.57 0.46 0.33 0.0 0.4 0.4 0.4 0.7 0.00 0.24 0.23 0.27 0.72 0 27.5 36.7 45.1 107.8 F 1.00 0.47 0.33 0.32 0.0 0.4 0.4 0.6 0.00 0.23 0.27 0.73 0 61.9 65.0 120.3 G Legend 1.00 0.34 0.31
r 0.0 0.4 0.7 P90 0.00 0.27 0.72 COD 0 55.8 119.7 H d 1.00 0.43 0.0 0.6 0.00 0.73 0 65.1 I 1.00 0

. 0 0.00Null

0



### January 2010 A-42

### A B C D E F G H I
Site ID 34 

# - 017 

# - 1002 34 

# - 003 

# - 0004 36 

# - 061 

# - 0056 34 

# - 003 

# - 5001 34 

# - 023 

# - 2003 34 

# - 025 

# - 2001 34 

# - 027 

# - 0003 36 

# - 081 

# - 0124 36 

# - 103 

# - 0009 Mean 0.85 0.55 0.62 0.52 0. 48 0.50 0.49 0.47 0.12 SD 0.43 0.27 0.21 0.30 0. 27 0.24 0.25 0.23 0.17 Obs 25646 23113 25547 25150 25028 25727 25691 25022 25749concentration (ppm)



# 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2.0



# season 1234 1234 1234 1234 1234 1234 1234 1234 1234

Figure A-35. Box plots illustrating the seasonal distribution of hourly CO concentrations inNew York City, NY. Note: 1 = winter, 2 = spring, 3 = summer, and 4 = fall on the xaxis.

January 2010 A-43

# Figure A-36. Map of CO monitor locations with AQS Site IDs for Phoenix, AZ.

January 2010 A-44

# Table A-14. Table of inter-sampler comparison statis tics, including Pearson r, P90 (ppm), COD, and d (km), as defined in the text, for each pair of hourly CO monitors reporting to AQS in Phoenix, AZ.
Micro Middle Neighborhood Null A B C D E A 1.00 0.86 0.89 0.80 0.84 0.0 0.8 0.7 1.1 0.9 0.00 0.39 0.37 0.43 0.37Micro

0.0 3.9 1.6 8.9 3.5 B 1.00 0.88 0.81 0.83 0.0 0.6 0.7 0.6 0.00 0.34 0.41 0.33Middle

0.0 3.4 6.6 5.2 C 1.00 0.81 0.89 0.0 0.9 0.7 0.00 0.38 0.24 Legend 0.0 9.4 4.9 D r 1.00 0.85 P90 0.0 0.6 COD 0.00 0.36Neighborhood

d 0.0 6.8 E 1.00 0.0 0.00Null
0.0



### January 2010 A-45

### A B C D E
Site ID 04 

# - 013 

# - 0016 04 

# - 013 

# - 3010 04 

# - 013 

# - 0019 04 

# - 013 

# - 3002 04 

# - 013 

# - 9997 Mean 0.93 0.76 0.84 0.58 0.79 SD 0.95 0.72 0.88 0.64 0.64 Obs 25382 25414 25589 25657 25435concentration (ppm)



# 0 1 2 3 4 5



# season 1234 1234 1234 1234 1234

Figure A-37. Box plots illustrating the seasonal distribution of hourly CO concentrations in Phoenix, AZ. Note: 1 = winter, 2 = spring, 3 = summer, and 4 = fall on the x-axis.

January 2010 A-46

# Figure A-38. Map of CO monitor locations with AQS Site IDs for Pittsburgh, PA.

January 2010 A-47

# Table A-15. Table of inter-sampler comparison statis tics, including Pearson r, P90 (ppm), COD, and d (km), as defined in the text, for each pair of hourly CO monitors reporting to AQS in Pittsburgh, PA.
Middle Neighborhood Urban A B C D E F G A 1.00 0.25 0.39 0.73 0.20 0.30 0.43 0.0 0.7 0.6 0.4 0.7 0.8 0.6 0.00 0.65 0.51 0.39 0.56 0.88 0.68Middle

0 33.3 68.2 0.7 43.4 44.1 1.8 B 1.00 0.26 0.29 0.09 0.09 0.42 0.0 0.5 0.5 0.6 0.5 0.5 0.00 0.68 0.62 0.69 0.90 0.73 0 101.0 33.6 75.0 37.8 34.4 C 1.00 0.42 0.16 0.21 0.11 0.0 0.4 0.6 0.6 0.6 0.00 0.51 0.57 0.87 0.72 0 68.0 27.5 104.1 66.8 D 1.00 0.30 0.35 0.52 0.0 0.5 0.5 0.5 0.00 0.54 0.86 0.69Neighborhood

0 43.4 43.7 2.2 E 1.00 0.02 0.05 0.0 0.7 0.7 0.00 0.87 0.74 0 84.1 41.9 F 1.00 0.18 0.0 0.7 0.00 0.88 Legend 0 45.8 G r 1.00 P90 0.0 COD 0.00Urban

d 0



### January 2010 A-48

### A B C D E F G
SiteID 42 

# - 003 

# - 0038 42 

# - 125 

# - 0005 42 

# - 073 

# - 0015 42 

# - 003 

# - 0031 42 

# - 007 

# - 0014 42 

# - 129 

# - 0008 42 

# - 003 

# - 0010 Mean 0.47 0.21 0.32 0. 32 0.28 0.07 0.28 SD 0.33 0.23 0.26 0. 26 0.27 0.15 0.32 Obs 25818 25319 25745 25936 25500 25785 25655concentration (ppm)



## 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3 1.4



# season 1234 1234 1234 1234 1234 1234 1234



# Figure A-39. Box plots illustrating the seasonal distribution of hourly CO concentrations in Pittsburgh, PA. Note: 1 = winter, 2 = spring, 3 = summer, and 4 = fall on the x-axis.

January 2010 A-49

# Figure A-40. Map of CO monitor locations with AQS Site IDs for Seattle, WA.

January 2010 A-50

### A Site ID 53 

# - 033 

# - 0019 Mean 0.75 SD 0.49 Obs 25818



# Figure A-41. Box plots illustrating the seasonal distribution of hourly CO concentrations in Seattle, WA. Note: 1 = winter, 2 = spring, 3 = summer, and 4 = fall on the x-axis.

January 2010 A-51

# Figure A-42. Map of CO monitor locations with AQS Site IDs for St. Louis, MO.

January 2010 A-52

# Table A-16. Table of inter-sampler comparison statis tics, including Pearson r, P90 (ppm), COD, and d (km), as defined in the text, for each pair of hourly CO monitors re porting to AQS in St. Louis, MO. Neighborhood Null A B C A 1.00 0.60 0.19 0.0 0.3 0.5 0.00 0.24 0.40 0 9.5 21.2 B 1.00 0.19 0.0 0.5 0.00 0.42Neighborhood

0 19.8 C Legend 1.00
r 0.0 P90 0.00Null
COD 0 d



### January 2010 A-53

### A B C
Site ID 17 

# - 163 

# - 0010 29 

# - 510 

# - 0086 29 

# - 189 

# - 0004 Mean 0.44 0.42 0.43 SD 0.25 0.29 0.25 Obs 25325 25938 25879concentration (ppm)



# -0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2 1.3



# season 1234 1234 1234

Figure A-43. Box plots illustrating the seasonal distribution of hourly CO concentrations in St. Louis, MO. Note: 1 = winter, 2 = spring, 3 = summer, and 4 = fall on the x-axis.

January 2010 A-54

# Table A-17. Comparison of distributional data at different monitoring scales for hourly, 1-h daily max, 24-h avg, and 8-h daily max data for Atlanta, GA.
PERCENTILES Time Scale N Mean Min 1 5 10 25 50 75 90 95 99 max 

### ALL HOURLY Microscale 25,440 0.6 0.0 0.2 0.2 0.3 0.4 0.4 0.5 0.7 0.7 1.0 1.2 Urban Scale 51,243 0.4 0.0 0.0 0.1 0.2 0.3 0.3 0.3 0.4 0.5 0.7 1.0 

### 1-H DAILY MAX Microscale 1,075 1.0 0.2 0.3 0.4 0.6 0.7 0.8 1.0 1.2 1.2 1.6 1.9 Urban Scale 2,154 0.7 0.0 0.2 0.2 0.3 0.3 0.4 0.5 0.8 0.9 1.3 1.5 

### 1-H DAILY AVG Microscale 1,075 0.6 0.2 0.2 0.3 0.3 0.4 0.5 0.5 0.6 0.7 0.8 1.0 Urban Scale 2,154 0.4 0.0 0.1 0.2 0.2 0.3 0.3 0.4 0.5 0.5 0.7 0.9 

### 8-H DAILY MAX Microscale 1,075 0.8 0.3 0.3 0.3 0.4 0.5 0.6 0.7 0.9 0.9 1.2 1.3 Urban Scale 2,154 0.5 0.0 0.1 0.2 0.3 0.3 0.3 0.4 0.6 0.7 1.0 1.3



# Table A-18. Comparison of distributional data at different monitoring scales for hourly, 1-h daily max, 24-h avg, and 8-h daily max data for Boston, MA.
PERCENTILES Time Scale N Mean Min 1 5 10 25 50 75 90 95 99 max 

### ALL HOURLY Microscale 25,869 0.6 0.0 0.1 0.2 0.3 0.4 0.4 0.5 0.7 0.7 1.0 1.2 Neighborhood Scale 97,526 0.4 0.0 0.0 0.0 0.1 0.2 0.3 0.3 0.4 0.5 0.6 0.8 Urban Scale 24,446 0.5 0.0 0.1 0.3 0.3 0.4 0.4 0.5 0.6 0.6 0.8 0.9 

### 1-H DAILY MAX Microscale 1,080 1.2 0.2 0.4 0.5 0.6 0.7 0.8 0.9 1.2 1.4 2.0 2.5 Neighborhood Scale 4,212 0.6 0.0 0.1 0.2 0.3 0.4 0.4 0.5 0.7 0.7 1.1 1.4 Urban Scale 1,086 0.8 0.0 0.3 0.4 0.5 0.6 0.6 0.8 0.9 1.0 1.2 1.4 

### 1-H DAILY AVG Microscale 1,080 0.6 0.1 0.2 0.3 0.3 0.4 0.5 0.6 0.7 0.7 0.9 1.1 Neighborhood Scale 4,212 0.4 0.0 0.0 0.1 0.1 0.2 0.3 0.4 0.4 0.5 0.6 0.7 Urban Scale 1,086 0.5 0.0 0.1 0.3 0.4 0.4 0.5 0.5 0.6 0.6 0.7 0.8 

### 8-H DAILY MAX Microscale 1,080 0.8 0.3 0.3 0.3 0.4 0.6 0.6 0.7 0.9 1.0 1.4 1.7 Neighborhood Scale 4,212 0.5 0.3 0.3 0.3 0.3 0.3 0.3 0.4 0.6 0.6 0.8 1.0 Urban Scale 1,086 0.7 0.3 0.3 0.3 0.3 0.5 0.5 0.6 0.8 0.8 1.0 1.1



### January 2010 A-55

# Table A-19. Comparison of distributional data at different monitoring scales for hourly, 1-h daily max, 24-h avg, and 8-h daily max data for Denver, CO.
PERCENTILES Time Scale N Mean Min 1 5 10 25 50 75 90 95 99 max 

### ALL HOURLY Microscale 77,070 0.5 0.0 0.0 0.1 0.1 0.3 0.3 0.4 0.6 0.7 1.0 1.3 Neighborhood Scale 51,968 0.5 0.0 0.0 0.1 0.2 0.3 0.3 0.4 0.6 0.6 1.0 1.3 

### 1-H DAILY MAX Microscale 3,190 1.2 0.1 0.3 0.4 0.5 0.7 0.8 1.0 1.4 1.5 2.2 2.7 Neighborhood Scale 2,173 1.1 0.1 0.2 0.3 0.4 0.6 0.6 0.9 1.3 1.5 2.1 2.6 

### 1-H DAILY AVG Microscale 3,190 0.5 0.0 0.1 0.2 0.2 0.3 0.4 0.5 0.6 0.6 0.9 1.0 Neighborhood Scale 2,173 0.5 0.0 0.1 0.2 0.3 0.3 0.4 0.5 0.6 0.6 0.9 1.1 

### 8-H DAILY MAX Microscale 3,190 0.8 0.3 0.3 0.3 0.4 0.5 0.5 0.7 0.9 1.0 1.4 1.8 Neighborhood Scale 2,173 0.8 0.3 0.3 0.3 0.3 0.4 0.5 0.7 0.9 1.0 1.5 1.8



# Table A-20. Comparison of distributional data at different monitoring scales for hourly, 1-h daily max, 24-h avg, and 8-h daily max data for Houston, TX.
PERCENTILES Time Scale N Mean Min 1 5 10 25 50 75 90 95 99 max 

### ALL HOURLY Microscale 24,922 0.3 0.0 0.0 0.0 0.0 0.2 0.2 0.3 0.4 0.5 0.6 0.8 Neighborhood Scale 99,003 0.3 0.0 0.0 0.0 0.0 0.2 0.2 0.3 0.4 0.4 0.6 0.8 

### 1-H DAILY MAX Microscale 1,043 0.7 0.0 0.0 0.2 0.3 0.4 0.5 0.6 0.8 0.9 1.2 1.4 Neighborhood Scale 4,145 0.7 0.0 0.0 0.1 0.2 0.4 0.4 0.5 0.8 0.8 1.3 1.7 

### 1-H DAILY AVG Microscale 1,043 0.3 0.0 0.0 0.0 0.1 0.2 0.3 0.4 0.5 0.5 0.6 0.6 Neighborhood Scale 4,145 0.3 0.0 0.0 0.0 0.1 0.2 0.2 0.3 0.4 0.4 0.5 0.6 

### 8-H DAILY MAX Microscale 1,043 0.5 0.3 0.3 0.3 0.3 0.3 0.3 0.4 0.6 0.6 0.8 1.0 Neighborhood Scale 4,145 0.5 0.3 0.3 0.3 0.3 0.3 0.3 0.4 0.5 0.6 0.9 1.1



### January 2010 A-56

# Table A-21. Comparison of distributional data at different monitoring scales for hourly, 1-h daily max, 24-h avg, and 8-h daily m ax data for Los Angeles, CA.
PERCENTILES Time Scale N Mean Min 1 5 10 25 50 75 90 95 99 max 

### ALL HOURLY Microscale 24,885 0.7 0.0 0.2 0.3 0.3 0.4 0.4 0.5 0.7 0.8 1.2 1.6 Middle Scale 98,564 0.5 0. 0 0.0 0.0 0.0 0.1 0.2 0.4 0.6 0.7 1.1 1.6 Neighborhood Scale 49,757 0.3 0.0 0.0 0.0 0.0 0.1 0.1 0.2 0.3 0.3 0.6 0.8 Urban Scale 24,264 0.4 0.0 0.0 0.1 0.1 0.1 0.2 0.3 0.4 0.5 1.0 1.4 

### 1-H DAILY MAX Microscale 1,080 1.3 0.2 0.4 0.5 0.6 0.8 0.8 1.1 1.6 1.7 2.3 2.7 Middle Scale 4,299 1.2 0. 0 0.1 0.1 0.2 0.5 0.6 0.9 1.3 1.5 2.5 3.7 Neighborhood Scale 2,164 0.7 0.0 0.0 0.0 0.1 0.3 0.3 0.5 0.8 0.9 1.3 1.7 Urban Scale 1,053 1.0 0.0 0.1 0.2 0.3 0.4 0.4 0.7 1.3 1.5 2.2 2.6 

### 1-H DAILY AVG Microscale 1,080 0.7 0.2 0.3 0.3 0.4 0.5 0.5 0.6 0.7 0.8 1.1 1.2 Middle Scale 4,299 0.5 0. 0 0.0 0.0 0.1 0.2 0.2 0.4 0.6 0.7 1.1 1.5 Neighborhood Scale 2,164 0.3 0.0 0.0 0.0 0.0 0.1 0.2 0.2 0.3 0.4 0.5 0.6 Urban Scale 1,053 0.4 0.0 0.0 0.1 0.1 0.2 0.2 0.3 0.5 0.6 0.9 1.1 

### 8-H DAILY MAX Microscale 1,080 0.9 0.3 0.3 0.4 0.4 0.6 0.6 0.8 1.1 1.2 1.6 1.8 Middle Scale 4,299 0.8 0. 3 0.3 0.3 0.3 0.3 0.3 0.6 0.9 1.0 1.8 2.4 Neighborhood Scale 2,164 0.5 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.5 0.6 0.9 1.2 Urban Scale 1,053 0.7 0.3 0.3 0.3 0.3 0.3 0.3 0.5 0.8 0.9 1.5 1.8



### January 2010 A-57

# Table A-22. Comparison of distributional data at different monitoring scales for hourly, 1-h daily max, 24-h avg, and 8-h daily m ax data for New York City, NY.
PERCENTILES Time Scale N Mean Min 1 5 10 25 50 75 90 95 99 max 

### ALL HOURLY Microscale 25,646 0.8 0.0 0.2 0.3 0.4 0.5 0.6 0.8 1.0 1.1 1.4 1.6 Middle Scale 48,660 0.6 0. 0 0.1 0.3 0.3 0.4 0.5 0.6 0.7 0.7 0.9 1.0 Neighborhood Scale 25,150 0.5 0.0 0.2 0.2 0.3 0.3 0.4 0.4 0.6 0.6 0.9 1.1 

### 1-H DAILY MAX Microscale 1,077 1.4 0.3 0.4 0.6 0.8 1.0 1.1 1.4 1.7 1.8 2.1 2.4 Middle Scale 2,053 0.9 0. 2 0.4 0.5 0.6 0.7 0.7 0.8 1.0 1.1 1.3 1.5 Neighborhood Scale 1,053 0.9 0.2 0.3 0.4 0.4 0.6 0.6 0.8 1.0 1.1 1.5 1.9 

### 1-H DAILY AVG Microscale 1,077 0.8 0.2 0.3 0.4 0.5 0.6 0.7 0.8 1.0 1.0 1.3 1.4 Middle Scale 2,053 0.6 0. 0 0.2 0.3 0.4 0.5 0.5 0.6 0.7 0.7 0.8 0.9 Neighborhood Scale 1,053 0.5 0.1 0.2 0.3 0.3 0.4 0.4 0.5 0.6 0.6 0.8 1.0 

### 8-H DAILY MAX Microscale 1,077 1.2 0.3 0.4 0.6 0.7 0.9 0.9 1.1 1.4 1.4 1.7 1.9 Middle Scale 2,053 0.7 0. 3 0.3 0.4 0.4 0.6 0.6 0.7 0.8 0.9 1.0 1.2 Neighborhood Scale 1,053 0.7 0.3 0.3 0.3 0.3 0.4 0.5 0.6 0.8 0.8 1.2 1.5



### January 2010 A-58

# Table A-23. Comparison of distributional data at different monitoring scales for hourly, 1-h daily max, 24-h avg, and 8-h daily max data for Phoenix, AZ.
PERCENTILES Time Scale N Mean Min 1 5 10 25 50 75 90 95 99 max 

### ALL HOURLY Microscale 25,382 0.9 0.0 0.0 0.1 0.1 0.3 0.3 0.6 1.1 1.3 2.3 3.0 Middle Scale 25,414 0.8 0. 0 0.0 0.1 0.1 0.3 0.3 0.5 0.9 1.0 1.8 2.3 Neighborhood Scale 51,246 0.7 0.0 0.0 0.1 0.1 0.2 0.3 0.4 0.7 0.8 1.8 2.4 

### 1-H DAILY MAX Microscale 1,063 2.2 0.0 0.2 0.5 0.7 1.1 1.2 1.9 2.8 3.1 4.2 4.7 Middle Scale 1,066 1.8 0. 1 0.3 0.5 0.7 1.0 1.1 1.6 2.2 2.4 3.2 3.8 Neighborhood Scale 2,156 1.8 0.1 0.2 0.4 0.5 0.8 0.9 1.5 2.3 2.6 3.6 4.2 

### 1-H DAILY AVG Microscale 1,063 0.9 0.0 0.0 0.2 0.2 0.4 0.4 0.7 1.2 1.3 2.0 2.3 Middle Scale 1,066 0.8 0. 0 0.1 0.2 0.3 0.4 0.5 0.7 0.9 1.0 1.5 1.7 Neighborhood Scale 2,156 0.7 0.0 0.1 0.2 0.2 0.3 0.4 0.5 0.9 0.9 1.5 1.8 

### 8-H DAILY MAX Microscale 1,063 1.5 0.3 0.3 0.3 0.4 0.6 0.7 1.2 2.0 2.2 3.1 3.5 Middle Scale 1,066 1.2 0. 3 0.3 0.3 0.4 0.7 0.7 1.0 1.5 1.7 2.3 2.7 Neighborhood Scale 2,156 1.2 0.3 0.3 0.3 0.3 0.5 0.6 0.9 1.5 1.7 2.5 3.0



### January 2010 A-59

# Table A-24. Comparison of distributional data at different monitoring scales for hourly, 1-h daily max, 24-h avg, and 8-h daily max data for Pittsburgh, PA.
PERCENTILES Time Scale N Mean Min 1 5 10 25 50 75 90 95 99 max 

### ALL HOURLY Middle Scale 25,818 0.5 0. 0 0.0 0.1 0.1 0.3 0.3 0.4 0.5 0.6 0.8 1.1 Neighborhood Scale 77,000 0.3 0.0 0.0 0.0 0.0 0.1 0.1 0.2 0.3 0.4 0.6 0.8 Urban Scale 76,940 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.3 0.3 0.6 0.8 

### 1-H DAILY MAX Middle Scale 1,079 0.9 0. 0 0.2 0.4 0.4 0.6 0.6 0.8 1.1 1.1 1.6 1.9 Neighborhood Scale 3,210 0.6 0.0 0.0 0.1 0.2 0.3 0.3 0.5 0.7 0.7 1.1 1.3 Urban Scale 3,208 0.4 0.0 0.0 0.0 0.0 0.1 0.2 0.4 0.6 0.7 1.0 1.2 

### 1-H DAILY AVG Middle Scale 1,079 0.5 0. 0 0.1 0.2 0.2 0.3 0.3 0.4 0.5 0.6 0.8 0.9 Neighborhood Scale 3,210 0.3 0.0 0.0 0.0 0.0 0.1 0.2 0.3 0.3 0.4 0.6 0.7 Urban Scale 3,208 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.3 0.3 0.6 0.7 

### 8-H DAILY MAX Middle Scale 1,079 0.7 0. 3 0.3 0.3 0.3 0.4 0.4 0.6 0.7 0.8 1.1 1.3 Neighborhood Scale 3,210 0.5 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.5 0.5 0.8 1.0 Urban Scale 3,208 0.4 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.4 0.5 0.8 1.0



# Table A-25. Comparison of distributional data for hourly, 1-h daily max, 24-h avg, and 8-h daily max data for Seattle, WA. Microscale was the only scale at which monitoring was performed in Seattle, WA.
PERCENTILES Time Scale N Mean Min 1 5 10 25 50 75 90 95 99 max 

### ALL HOURLY Microscale 25,818 0.8 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.9 0.9 1.3 1.6 

### 1-H DAILY MAX Microscale 1,079 1.5 0.2 0.4 0.5 0.7 0.9 1.0 1.3 1.7 1.8 2.4 2.9 

### 1-H DAILY AVG Microscale 1,079 0.8 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.9 0.9 1.2 1.4 

### 8-H DAILY MAX Microscale 1,079 1.1 0.3 0.3 0.4 0.5 0.7 0.8 1.0 1.3 1.4 1.8 2.2



### January 2010 A-60

# Table A-26. Comparison of distributional data for hourly, 1-h daily max, 24-h avg, and 8-h daily max data for St. Louis, MO. Neighborhood scale was the only scale at which monitoring was performed in St. Louis, MO.
PERCENTILES Time Scale N Mean Min 1 5 10 25 50 75 90 95 99 max 

### ALL HOURLY Neighborhood Scale 51,263 0.4 0.0 0.1 0.2 0.2 0.3 0.3 0.4 0.5 0.5 0.6 0.8 

### 1-H DAILY MAX Neighborhood Scale 2,138 0.8 0.1 0.2 0.3 0.4 0.5 0.5 0.6 0.9 1.0 1.5 2.0 

### 1-H DAILY AVG Neighborhood Scale 2,138 0.4 0.0 0.1 0.2 0.3 0.3 0.3 0.4 0.5 0.5 0.6 0.7 

### 8-H DAILY MAX Neighborhood Scale 2,138 0.6 0.3 0.3 0.3 0.3 0.3 0.3 0.5 0.6 0.7 1.0 1.3



### January 2010 A-61

# Figure A-44. Seasonal plots of correlations between hourly CO concentration with hourly (1) SO 2, 

# (2) NO 2 

# , (3) O 3 

# , (4) PM 10 

# , and (5) PM 2.5 

# concentrations for Anchorage, AK. Also shown are correlations between 24-h avg CO concentration with (6) daily max 1-h and (7) daily max 8-h CO concentrations and (8) between daily max 1-h and dailymax 8-h CO concentrations. Refer the numbers in this caption to those on the yaxis of each seasonal plot. Note that the data are not obtained for Anchorage during the summer, and so are not presented here.

January 2010 A-62

# Figure A-45. Seasonal plots of correlations between hourly CO concentration with hourly (1) SO 2 

# , (2) NO 2 

# , (3) O 3 

# , (4) PM 10 

# , and (5) PM 2.5 

# concentrations for Atlanta, GA. Also shown are correlations between 24-h avg CO concentration with (6) daily max 1-h and (7) daily max 8-h CO concentrations and (8) between daily max 1-h and dailymax 8-h CO concentrations. Refer the numbers in this caption to those on the yaxis of each seasonal plot.

January 2010 A-63

# Figure A-46. Seasonal plots of correlations between hourly CO concentration with hourly (1) SO 2 

# , (2) NO 2 

# , (3) O 3 

# , (4) PM 10 

# , and (5) PM 2.5 

# concentrations for Boston, MA. Also shown are correlations between 24-h avg CO concentration with (6) daily max 1-h and (7) daily max 8-h CO concentrations and (8) between daily max 1-h and daily max 8-h CO concentrations. Refer the numbers in this caption to those on the y-axis of each seasonal plot.

January 2010 A-64

# Figure A-47. Seasonal plots of correlations between hourly CO concentration with hourly (1) SO 2 

# , (2) NO 2 

# , (3) O 3 

# , (4) PM 10 

# , and (5) PM 2.5 

# concentrations for New York City, NY. Also shown are correlations between 24-h avg CO concentration with (6) daily max 1-h and (7) daily max 8-h CO concentrations and (8) between daily max 1-h and daily max 8-h CO concentrations. Refe r the numbers in this caption to those on the y-axis of each seasonal plot.

January 2010 A-65

# Figure A-48. Seasonal plots of correlations between hourly CO concentration with hourly (1) SO 2 

# , (2) NO 2 

# , (3) O 3 

# , (4) PM 10 

# , and (5) PM 2.5 

# concentrations for Phoenix, AZ. Also shown are correlations between 24-h avg CO concentration with (6) daily max 1-h and (7) daily max 8-h CO concentrations and (8) between daily max 1-h and daily max 8-h CO concentrations. Refer the numbers in this caption to those on the y-axis of each seasonal plot.

January 2010 A-66

# Figure A-49. Seasonal plots of correlations between hourly CO concentration with hourly (1) SO 2 

# , (2) NO 2 

# , (3) O 3 

# , (4) PM 10 

# , and (5) PM 2.5 

# concentrations for Seattle, WA. Also shown are correlations between 24-h avg CO concentration with (6) daily max 1-h and (7) daily max 8-h CO concentrations and (8) between daily max 1-h and daily max 8-h CO concentrations. Refer the numbers in this caption to those on the y-axis of each seasonal plot.

January 2010 A-67

# Figure A-50. Cross-correlation functions for each season combined across sites where CO and O 3 

# monitors were co-located in Atlanta, Boston, Denver, Los Angeles, New York City, and Phoenix.

January 2010 A-68