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 Bob Marshall Wilderness 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 Medicine Lake Wilderness 11,366 USDI-FWS Area Mission Mountain Wilderness 73,877 USDA-FS Area Red Rock Lakes Wilderness 32,350 USDI-FWS Area. Scapegoat Wilderness 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 Montana
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