PreliminaryPreliminary EvaluationEvaluation ofof DataData forfor ReasonableReasonable ProgressProgress

MontanaMontana RHRH FIPFIP LaurelLaurel DygowskiDygowski,, EPAEPA RegionRegion 88 IWGIWG MeetingMeeting –– AprilApril 20072007 Mandatory Class I Areas

Anaconda-Pintlar Wilderness 157,803 USDA-FS Area 950,000 USDA-FS Area Cabinet Mountains 94,272 USDA-FS Wilderness Area Gates of the Mtn Wilderness 28,562 USDA-FS Area Glacier NP 1,012,599 USDI-NPS 11,366 USDI-FWS Area Mission Mountain Wilderness 73,877 USDA-FS Area Red Rock Lakes Wilderness 32,350 USDI-FWS Area. Area. 239,295 USDA-FS Selway-Bitterroot Wilderness 251,930 USDA-FS Area{1} U. L. Bend Wilderness Area 20,890 USDI-FWS Yellowstone NP{2} 167,624 USDI-NPS Distribution of Aerosol Light Extinction for 20% Worst Days for Federal Class I Areas in

80.0

70.0

60.0 Sea Salt

50.0 Coarse Soil 40.0 Elemental Carbon

30.0 Organics Nitrate 20.0 Sulfate

10.0

0.0 Cabinet Gates of the Glacier Medicine Bob Selway- UL Bend Mountains Mountains National Lake Marshall, Bitterroot, Park Mission Anaconda- Mountains, Pintier Scapegoat •Class I Areas in the west are dominated by organics. •Class I Areas in the northeast have a relative higher contribution from sulfates and nitrates Monture (MONT1) - IMPROVE Monitor for – Bob Marshall, Mission Mountains, and Scapegoat – USFS Wilderness Areas Improve Data – Baseline and Natural Conditions – Default Natural Conditions

2000-2004 baseline for worst days – 14.48dv Default Natural Conditions – 7.33dv Improve Data – Baseline and Natural Conditions – New Equation

• Natural Conditions with new equation – 7.74 • 6.74 deciview change to needed to reach natural conditions UniformUniform RateRate ofof ProgressProgress

‹ EPAEPA RegionRegion 88 plansplans onon usingusing newnew calculationcalculation ofof naturalnatural conditionsconditions (7.74dv)(7.74dv) ‹ 1.2dv1.2dv reductionreduction toto bebe onon glideslopeglideslope forfor firstfirst fivefive planningplanning periodsperiods ‹ .74.74 reductionreduction inin 66th planningplanning periodperiod Best and Worst Days - Trends

• Best Days Average – 3.85 dv • Worst Days Average – 14.48 dv Species Contribution Average over Baseline

• Best Days – Organics and sulfates are highest contributors • Worst Days – Organics heavily dominate species contribution Species Contribution By Year Baseline & natural conditions worst 20% species Baseline & natural conditions best 20% species Monture Light Extinction, Baseline and Estimated and Default Natural

25

20

15 2001-2004 Baseline Natural (best estima 10 Natural (EPA Defau 5

0 Nitrate Sulfate Coarse Elemental Organic Soil

Worst 20% Light Extinction (Mm-1) Extinction Light 20% Worst Mass Carbon Carbon Monture Controllable Light Extinction on 20% Worst Days for Base Period

Coarse MassElemental Nitrate Sulfate 4% Carbon 1% 9% 1% Organic Carbon 5%

Soil 2%

Natural 78% CAMx PSAT Attribution of Nitrate at Monture for 20% Worst Days for Base Period

WY-MV ID-Nat 1% 1% MT-AF All Others 2% 11% OR-MV MT-MV 2% WY-PT 25% 2% ID-Area 2% MT-Area Note: If boundary conditions 2% originate from these source MT-Nat categories, each category's 3% impact must be scaled up by 100/72 = 1.3. CAN-Area 3% CAN-PT 3% WA-MV BC-PT 5% 23% CAN-MV ID-MV 5% MT-PT 5% 6% CAMx PSAT Sulfate Attribution at Monture for 20% Worst Days for Base Period (Excluding Boundary Conditions)

CO AZ NM MEX SD 1% 2% UT EUS0% 0% 1% 0% CEN 1% 3% CA 2% ID ND 3% 3% CAN 33%

PO 6%

WY 6%

OR 6%

MT WA 16% 15% CAMx PSAT Attribution of Sulfate at Monture for 20% Worst Days for Base Period

All Others Note: If boundary condition OR-PT 15% sulfate comes 2% from these categories, double MT-Area the contribution 1% MT-MV of these categories. For 2% example, Montana WA-MV contributions would double from 2% 6% to 12%. PO-Area If, however, boundary BC-PT 2% conditions are indicative WY-PT 48% of natural and international 2% MT-PT 3% impacts, the contributions shown may be CAN-Area indicative of the 3% true impact. WA-PT 4% CAN-PT ID-Nat 12% 4% CAMx PSAT Sulfate Attribution at Monture for 20% Worst Days for Base Period (Excluding Boundary Conditions)

UT EUS AZ SD MEX CEN 1% 1% 0% 0% 2% CO 3% NV CA 1% 2% 1% ND 3% CAN NM ID 33% 0% 3% PO 6%

WY 6%

OR 6%

MT WA 16% 15% Sources and Areas of Potential Sulfur Oxide Emissions Influence 2018 Projections for UL Bend, MT 20% Worst Visibility Days

Biogenic Natural Fire Point Area WRAP Area O&G Off-Shore On-Road Mobile Off-Road Mobile Road Dust Fugitive Dust WB Dust Anthro Fire

100 90 80 70 60 52.1 50 40 30 22.9 20 5.7 4.4 4.2 3.2 10 0.3 0.7 0.3 1.0 0.5 0.2 0.1 0.3 2.2 1.2 0.2 0.5 0

a n e co o rni aho tah Percent of Total Distance Weighted Emis x ResTime Emis Weighted Distance Total of Percent zona o d egon kota U RAP ri I r a ngt shor N olorado Nevada O D Mexico A Montana h Canada Calif C ashi Wyoming CE New Mexi W Eastern US North Dakota Sout Pacific Off Sources and Areas of Potential Nitrogen Oxide Emissions Influence 2018 Projections for UL Bend, MT 20% Worst Visibility Days

Biogenic Natural Fire Point Area WRAP Area O&G Off-Shore On-Road Mobile Off-Road Mobile Road Dust Fugitive Dust WB Dust Anthro Fire

100 90 80 70 55.4 60 50 40 27.5 30 20 4.5 10 0.5 1.4 0.3 2.1 0.4 0.1 1.5 2.6 0.3 0.2 1.4 0.9 0.7 0.0 0.1 0

a n e co o rni aho tah Percent of Total Distance Weighted Emis x ResTime Emis Weighted Distance Total of Percent zona o d egon kota U RAP ri I r a ngt shor N olorado Nevada O D Mexico A Montana h Canada Calif C ashi Wyoming CE New Mexi W Eastern US North Dakota Sout Pacific Off Sources and Areas of Potential Organic Carbon Emissions Influence 2018 Projections for UL Bend, MT 20% Worst Visibility Days

Biogenic Natural Fire Point Area WRAP Area O&G Off-Shore On-Road Mobile Off-Road Mobile Road Dust Fugitive Dust WB Dust Anthro Fire

100 90 80 70 60 47.0 50 40 30 18.5 20 12.9 9.6 3.6 10 1.0 2.4 0.2 0.1 0.1 0.6 0.3 0.1 0.9 0.3 2.2 0.1 0.1 0

a n a n S na do na da t o ng P co o rni a aho a ota o t i A i Percent of Total Distance Weighted Emis x ResTime Emis Weighted Distance Total of Percent hore o r d t ak Utah g s R riz f lo I eva rego ak N A ali o N Mexico D O D E Mex Canada C C Mon h th Wyom C ew rt u astern U N o Washin E N So Pacific Off Sources and Areas of Potential Elemental Carbon Emissions Influence 2018 Projections for UL Bend, MT 20% Worst Visibility Days

Biogenic Natural Fire Point Area WRAP Area O&G Off-Shore On-Road Mobile Off-Road Mobile Road Dust Fugitive Dust WB Dust Anthro Fire

100 90 80 70 60 47.1 50 40 30 21.9 20 10.8 7.3 3.5 10 0.9 2.8 0.2 0.2 0.1 0.8 0.3 0.1 1.0 1.0 1.6 0.1 0.3 0

a n e co o rni aho tah Percent of Total Distance Weighted Emis x ResTime Emis Weighted Distance Total of Percent zona o d egon kota U RAP ri I r a ngt shor N olorado Nevada O D Mexico A Montana h Canada Calif C ashi Wyoming CE New Mexi W Eastern US North Dakota Sout Pacific Off Sources and Areas of Potential Fine PM Emissions Influence 2018 Projections for UL Bend, MT 20% Worst Visibility Days

Biogenic Natural Fire Point Area WRAP Area O&G Off-Shore On-Road Mobile Off-Road Mobile Road Dust Fugitive Dust WB Dust Anthro Fire

100 90 79.3 80 70 60 50 40 30

20 11.3 4.1 10 0.1 0.3 0.0 0.7 0.1 0.0 0.8 1.5 0.5 0.1 0.3 0.1 0.6 0.0 0.1 0

a n e co o rni aho tah Percent of Total Distance Weighted Emis x ResTime Emis Weighted Distance Total of Percent zona o d egon kota U RAP ri I r a ngt shor N olorado Nevada O D Mexico A Montana h Canada Calif C ashi Wyoming CE New Mexi W Eastern US North Dakota Sout Pacific Off EMISSION INVENTORY MT – Area Sources 2002 and 2018

Source Category 2002 2018

Misc. Area Sources 219,987 227,975

Industrial Processes 147,734 213,619 (includes O&G) Stationary Source 56,865 61,537 Fuel Combustion Solvent Utilization 25,043 36,176

Waste Disposal 25,043 29,172

Storage and 8,051 8927 Transport Total 486,115 577,406 AreaArea SourcesSources –– OilOil andand GasGas

Oil & Gas Production & Distribution NOx Emissions 200,000

175,000

150,000

125,000

100,000

Tons/Year 75,000

50,000

25,000

-

ID AK AZ CA CO MT NV NM ND OR SD UT WA WY Tribes

2002 2018

WRAP Region: 2002 Total = 365,000 and 2018 Total = 540,000

Taken from WRAP POINT AND AREA SOURCE EMISSIONS PROJECTIONS FOR THE 2018 BASE CASE INVENTORY, VERSION 1 MT – NOx Emissions Point Sources 2002 and 2018

Source Category 2002 2018

External 39,480 48,304 Combustion Engine Industrial Processes 6,805 8,446

Internal 6,656 5,346 Combustion Engines Waste Disposal 29 36

Petroleum and 22 30 Solvent Evap. Total 53,415 62,583 MT – SOx Emissions Point Sources 2002 and 2018

Source Category 2002 2018

External 24,867 29,852 Combustion Engine Industrial Processes 11,528 12,675

Internal 243 277 Combustion Engines Waste Disposal 18 25

Petroleum and 14 18 Solvent Evap. Total 36,879 43,055 EmissionsEmissions byby PollutantPollutant

Pollutant Total 2002 tpy Total 2018 tpy Delta % Delta

Sulphur 46,536 49,302 2,766 5.9% Dioxide NOx 229,442 216,434 -13,009 -5.7%

Fine PM 74,086 56,930 -17,156 -23.2%

Organic 13,081 9,851 -3,231 -24.7 Carbon Elemental 4,919 2,695 -2,224 -45.2% Carbon Ammonia 64,949 65,737 788 1.2% Fine PM 74,086 56,930 -17,156% -23.2% SOxSOx EmissionsEmissions

Sulfur Dioxide

Source Category 2002 (tpy) 2018 (tpy)

Point 36,819 45,271

Biogenic Sulfur Dioxide Emissions Area 2,965 3,302 Natural Fire WRAP Area O&G 281 7 Anthro Fire 100% WB Dust Off-Shore 0 0 80% Fugitive Dust On-Road Mobile 1,757 206 60% Road Dus t 40% Off-Road Mobile Off-Road Mobile 4,091 60 On-Road Mobile 20% Road Dust 0 0 Off-Shore 0% WRAP Area O&G Fugitive Dust 0 0 2000-04 2018 Base Case Area (Plan02c) (Base18b) WB Dust 0 0 Point Anthro Fire 378 210

Natural Fire 246 246

Biogenic 0 0

Total 46,536 49,302

Delta (2018-2002) 2,766

% Delta 5.9% NOxNOx EmissionsEmissions

Nitrogen Oxides Source Category 2002 (tpy) 2018 (tpy) Point 53,570 62,525 Biogenic Nitrogen Oxides Emissions Area 4,365 5,602 Natural Fire WRAP Area O&G 7,859 30,166 Anthro Fire 100% WB Dust Off-Shore 0 0 80% Fugitive Dust On-Road Mobile 53,433 22,345 60% Road Dus t Off-Road Mobile 49,388 35,598 40% Off-Road Mobile Road Dust 0 0 20% On-Road Mobile Off-Shore Fugitive Dust 0 0 0% WRAP Area O&G 2000-04 2018 Base Case WB Dust 0 0 Area (Plan02c) (Base18b) Anthro Fire 1,409 781 Point Natural Fire 1,228 1,228 Biogenic 58,190 58,190 Total 229,442 216,434

Delta (2018-2002) -13,009

% Delta -5.7% OrganicOrganic CarbonCarbon EmissionEmission

Organic Carbon Source Category 2002 (tpy) 2018 (tpy) Point 101 199 Organic Carbon Emissions Area 2,822 2,950 Biogenic WRAP Area O&G 0 0 100% Natural Fire Off-Shore 0 0 Anthro Fire 80% WB Dust On-Road Mobile 788 563 60% Fugitive Dust Off-Road Mobile 706 411 Road Dust 40% Off-Road Mobile Road Dust 1,228 7 20% On-Road Mobile Fugitive Dust 652 786 Off-Shore 0% WB Dust 0 0 WRAP Area O&G 2000-04 2018 Base Case Anthro Fire 3,580 1,728 (Plan02c) (Base18b) Area Point Natural Fire 3,205 3,205 Biogenic 0 0 Total 13,081 9,851

Delta (2018-2002) -3,231

% Delta -24.7% FineFine PMPM

Fine PM Source Category 2002 (tpy) 2018 (tpy) Point 182 409 Area 3,405 2,690 Fine PM Emissions WRAP Area O&G 0 0 Biogenic WRAP Area O&G 0 0 100% Natural Fire Off-Shore 0 0 Anthro Fire 80% On-Road Mobile 276 458 WB Dust 60% Fugitive Dust Off-Road Mobile 2 2 Road Dust 40% Road Dust 20,919 114 Off-Road Mobile Fugitive Dust 11,227 15,321 20% On-Road Mobile Off-Shore WB Dust 37,096 37,096 0% WRAP Area O&G 2000-04 2018 Base Case Anthro Fire 269 130 (Plan02c) (Base18b) Area Point Natural Fire 710 710 Biogenic 0 0 Total 74,086 56,930

Delta (2018-2002) -17,156

% Delta -23.2% OnOn andand OffOff RoadRoad MobileMobile SourceSource EmissionsEmissions

20022002 20182018 NO2NO2 andand NO2NO2 andand NONO NONO OnOn--RoadRoad 53,44453,444 22,26222,262 MobileMobile OffOff--RoadRoad 50,76750,767 36,69536,695 MobileMobile TotalTotal 104,211104,211 58,95758,957 EmissionEmission InventoryInventory andand 20182018 ProjectionsProjections

‹ OilOil andand GasGas –– OnlyOnly areaarea sourcesource predictedpredicted toto growgrow ‹ AreaArea sourcesource emissionemission inventoryinventory muchmuch largerlarger thanthan pointpoint sourcesource ‹ MostMost pollutantspollutants predictedpredicted toto declinedecline oror growgrow onlyonly slightlyslightly ‹ DeclineDecline inin mobilemobile sourcessources Map of Largest Non-Bart Sources of SOx and NOx EmissionsEmissions InventoryInventory –– HighestHighest NOxNOx EmittersEmitters

Source Type of Source 2002 2005

PPL MT - COLSTRIP Units 1, 2, 3 & 4 External Combustion Boilers Electric Generation 32089 36497

ASH GROVE CEMENT Industrial Processes Mineral Products 1826 1837

PPL MT - JE CORETTE PLANT External Combustion Boilers Electric Generation 1703 1668

Devon Energy - Blaine County #1 Internal Combustion Engines Industrial 1155 1156

HOLCIM US INC - TRIDENT PLANT Industrial Processes In-process Fuel Use 1105 1907

Plum Creek - Columbia Falls External Combustion Boilers Industrial 1043 786

Pulp and Paper and Wood Smurfit-Stone CONTAINER Industrial Processes Products 837 818

MDU - LEWIS & CLARK STATION External Combustion Boilers Electric Generation 795 767

Rocky Mountain Power - Hardin Power Plant External Combustion Boilers Electric Generation 514 0

WILLISTON BASIN - CABIN CREEK Internal Combustion Engines Industrial 490 91

ROSEBURG FOREST PRODUCTS External Combustion Boilers Industrial 487 474

MONTANA TUNNELS MINE Internal Combustion Engines Engine Testing 445 439

Decker Coal - mine Internal Combustion Engines Industrial 412 290

EXXONMOBIL BILLINGS REFINERY Industrial Processes Petroleum Industry 405 1230 The EI numbers are approximate and have not been verified by EPA EmissionEmission InventoryInventory –– HighestHighest SOxSOx EmittersEmitters

Source Type of Source 2002 2005

PPL MT - COLSTRIP Units 1, 2, 3 & 4 External Combustion Boilers Electric Generation 14087 15467

EXXONMOBIL BILLINGS REFINERY Industrial Processes Petroleum Industry 1 5096

PPL MT - JE CORETTE PLANT External Combustion Boilers Electric Generation 3135 2894

MONTANA SULPHUR & CHEMICAL Industrial Processes Chemical Manufacturing 2396 1992

YELLOWSTONE ENERGY LIMITED PARTNERSHIP External Combustion Boilers Electric Generation 1546 1832

Montana Refining - Great Falls Industrial Processes Petroleum Industry 610 917

MDU - LEWIS & CLARK STATION External Combustion Boilers Electric Generation 780 839

CHS - Laurel refinery Industrial Processes Petroleum Industry 14 646

ConocoPhillips - Billings refinery Industrial Processes Petroleum Industry 3 269

ASH GROVE CEMENT Industrial Processes Mineral Products 234 245

WESTERN SUGAR COOP-Billings External Combustion Boilers Industrial 75 127

Graymont Western - Indian Creek Industrial Processes Mineral Products 80 111

HOLCIM US INC - TRIDENT PLANT Industrial Processes In-process Fuel Use 167 87

Pulp and Paper and Wood Smurfit-Stone CONTAINER Industrial Processes Products 133 84 The EI numbers are approximate and have not been verified by EPA EmissionEmission InventoryInventory NonNon--BARTBART SourcesSources

‹ NOx Stationary Sources ‹ 2002 NOx – Approx 53,000 tons ‹ 15 Sources – 81% of emission ‹ 2005 – Approx 56,000 tones ‹ 14 Sources – Approximately 85% of emissions ‹ SOx Stationary Sources ‹ 2002 Sox – approx. 37,000 tons ‹ 14 Sources – 64% of SOx Emission ‹ 2005 – Approx 24,357 tons ‹ 14 Sources – Approximately75% of SOx Emissions NonNon--BARTBART StationaryStationary SourcesSources

‹ PossiblePossible ApproachApproach UseUse Q/DQ/D forfor screeningscreening ––SourcesSources withwith Q/DQ/D >> 1010 ––QQ == NOxNOx ++ SOxSOx ++ PMPM (tons/year(tons/year -- PTE)PTE) ––DD == distancedistance toto nearestnearest ClassClass II areaarea inin kmkm ‹ PossibilityPossibility ofof WRAPWRAP providingproviding additionaladditional informationinformation onon currentcurrent andand possiblepossible controlcontrol measuresmeasures forfor thesethese sourcessources ‹ UseUse ofof otherother sourcessources (i.e.,(i.e., permits)permits) toto determinedetermine currentcurrent controlscontrols Summary of Analysis for Reasonable Progress at Monture

‹ Are there uncontrolled sources that are controllable?

NonNon--BARTBART StationaryStationary SourcesSources NextNext StepsSteps

‹ AnalyzeAnalyze datadata forfor otherother MTMT ClassClass II areasareas ‹ EvaluateEvaluate contributingcontributing sourcessources andand sourcesource categoriescategories forfor possiblepossible controlscontrols ‹ DoDo fourfour factorfactor analysisanalysis forfor identifiedidentified sourcessources andand determinedetermine LTSLTS ‹ ConsultConsult withwith statesstates MontanaMontana isis affectingaffecting andand thatthat areare beingbeing affectedaffected byby MontanaMontana