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Preliminary Evaluation of Data for Reasonable Progress Montana RH FIP Laurel Dygowski, EPA Region 8 IWG Meeting – April 2007.

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Presentation on theme: "Preliminary Evaluation of Data for Reasonable Progress Montana RH FIP Laurel Dygowski, EPA Region 8 IWG Meeting – April 2007."— Presentation transcript:

1 Preliminary Evaluation of Data for Reasonable Progress Montana RH FIP Laurel Dygowski, EPA Region 8 IWG Meeting – April 2007

2 Mandatory Class I Areas

3 Distribution of Aerosol Light Extinction for 20% Worst Days for Federal Class I Areas in Montana 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

4 Monture (MONT1) - IMPROVE Monitor for – Bob Marshall, Mission Mountains, and Scapegoat – USFS Wilderness Areas

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

6 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

7 Uniform Rate of Progress  EPA Region 8 plans on using new calculation of natural conditions (7.74dv)  1.2dv reduction to be on glideslope for first five planning periods .74 reduction in 6 th planning period

8 Best and Worst Days - Trends Best Days Average – 3.85 dv Worst Days Average – 14.48 dv

9 Species Contribution Average over Baseline Best Days – Organics and sulfates are highest contributors Worst Days – Organics heavily dominate species contribution

10 Species Contribution By Year

11 Baseline & natural conditions worst 20% species

12 Baseline & natural conditions best 20% species

13 Monture Light Extinction, Baseline and Estimated and Default Natural

14 Monture Controllable Light Extinction on 20% Worst Days for Base Period

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

16 CAMx PSAT Sulfate Attribution at Monture for 20% Worst Days for Base Period (Excluding Boundary Conditions)

17 CAMx PSAT Attribution of Sulfate at Monture for 20% Worst Days for Base Period Note: If boundary condition sulfate comes from these categories, double the contribution of these categories. For example, Montana contributions would double from 6% to 12%. If, however, boundary conditions are indicative of natural and international impacts, the contributions shown may be indicative of the true impact.

18 CAMx PSAT Sulfate Attribution at Monture for 20% Worst Days for Base Period (Excluding Boundary Conditions)

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

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

21 Sources and Areas of Potential Organic Carbon Emissions Influence 2018 Projections for UL Bend, MT 20% Worst Visibility Days

22 Sources and Areas of Potential Elemental Carbon Emissions Influence 2018 Projections for UL Bend, MT 20% Worst Visibility Days

23 Sources and Areas of Potential Fine PM Emissions Influence 2018 Projections for UL Bend, MT 20% Worst Visibility Days

24 EMISSION INVENTORY MT – Area Sources 2002 and 2018 Source Category 20022018 Misc. Area Sources 219,987227,975 Industrial Processes (includes O&G) 147,734213,619 Stationary Source Fuel Combustion 56,86561,537 Solvent Utilization 25,04336,176 Waste Disposal 25,04329,172 Storage and Transport 8,0518927 Total486,115577,406

25 Area Sources – Oil and Gas Taken from WRAP POINT AND AREA SOURCE EMISSIONS PROJECTIONS FOR THE 2018 BASE CASE INVENTORY, VERSION 1 Oil & Gas Production & Distribution NOx Emissions - 25,000 50,000 75,000 100,000 125,000 150,000 175,000 200,000 Tribes AK AZ CA CO ID MT NV NM ND OR SD UT WA WY Tons/Year 20022018 WRAP Region: 2002 Total = 365,000 and 2018 Total = 540,000

26 MT – NOx Emissions Point Sources 2002 and 2018 Source Category 20022018 External Combustion Engine 39,48048,304 Industrial Processes 6,8058,446 Internal Combustion Engines 6,6565,346 Waste Disposal 2936 Petroleum and Solvent Evap. 2230 Total53,41562,583

27 MT – SOx Emissions Point Sources 2002 and 2018 Source Category 20022018 External Combustion Engine 24,86729,852 Industrial Processes 11,52812,675 Internal Combustion Engines 243277 Waste Disposal 1825 Petroleum and Solvent Evap. 1418 Total36,87943,055

28 Emissions by Pollutant Pollutant Pollutant Total 2002 tpy Total 2018 tpy Delta % Delta Sulphur Dioxide 46,53649,3022,7665.9% NOx229,442216,434-13,009-5.7% Fine PM 74,08656,930-17,156-23.2% Organic Carbon 13,0819,851-3,231-24.7 Elemental Carbon 4,9192,695-2,224-45.2% Ammonia64,94965,7377881.2% Fine PM 74,08656,930-17,156%-23.2%

29 SOx Emissions Sulfur Dioxide Source Category 2002 (tpy) 2018 (tpy) Point36,81945,271 Area2,9653,302 WRAP Area O&G 2817 Off-Shore00 On-Road Mobile 1,757206 Off-Road Mobile 4,09160 Road Dust 00 Fugitive Dust 00 WB Dust 00 Anthro Fire 378210 Natural Fire 246246 Biogenic00 Total46,53649,302 Delta (2018-2002) 2,766 % Delta 5.9%

30 NOx Emissions Nitrogen Oxides Source Category 2002 (tpy) 2018 (tpy) Point53,57062,525 Area4,3655,602 WRAP Area O&G 7,85930,166 Off-Shore00 On-Road Mobile 53,43322,345 Off-Road Mobile 49,38835,598 Road Dust 00 Fugitive Dust 00 WB Dust 00 Anthro Fire 1,409781 Natural Fire 1,2281,228 Biogenic58,19058,190 Total229,442216,434 Delta (2018-2002) -13,009 % Delta -5.7%

31 Organic Carbon Emission Organic Carbon Source Category 2002 (tpy) 2018 (tpy) Point101199 Area2,8222,950 WRAP Area O&G 00 Off-Shore00 On-Road Mobile 788563 Off-Road Mobile 706411 Road Dust 1,2287 Fugitive Dust 652786 WB Dust 00 Anthro Fire 3,5801,728 Natural Fire 3,2053,205 Biogenic00 Total13,0819,851 Delta (2018-2002) -3,231 % Delta -24.7%

32 Fine PM Source Category 2002 (tpy) 2018 (tpy) Point182409 Area3,4052,690 WRAP Area O&G 00 Off-Shore00 On-Road Mobile 276458 Off-Road Mobile 22 Road Dust 20,919114 Fugitive Dust 11,22715,321 WB Dust 37,09637,096 Anthro Fire 269130 Natural Fire 710710 Biogenic00 Total74,08656,930 Delta (2018-2002) -17,156 % Delta -23.2%

33 On and Off Road Mobile Source Emissions 2002 NO2 and NO 2018 NO2 and NO On-Road Mobile 53,44422,262 Off-Road Mobile 50,76736,695 Total104,21158,957

34 Emission Inventory and 2018 Projections  Oil and Gas – Only area source predicted to grow  Area source emission inventory much larger than point source  Most pollutants predicted to decline or grow only slightly  Decline in mobile sources

35 Map of Largest Non-Bart Sources of SOx and NOx

36 Emissions Inventory – Highest NOx Emitters Source Type of Source 20022005 PPL MT - COLSTRIP Units 1, 2, 3 & 4 External Combustion Boilers Electric Generation 3208936497 ASH GROVE CEMENT Industrial Processes Mineral Products 18261837 PPL MT - JE CORETTE PLANT External Combustion Boilers Electric Generation 17031668 Devon Energy - Blaine County #1 Internal Combustion Engines Industrial11551156 HOLCIM US INC - TRIDENT PLANT Industrial Processes In-process Fuel Use 11051907 Plum Creek - Columbia Falls External Combustion Boilers Industrial1043786 Smurfit-Stone CONTAINER Industrial Processes Pulp and Paper and Wood Products 837818 MDU - LEWIS & CLARK STATION External Combustion Boilers Electric Generation 795767 Rocky Mountain Power - Hardin Power Plant External Combustion Boilers Electric Generation 5140 WILLISTON BASIN - CABIN CREEK Internal Combustion Engines Industrial49091 ROSEBURG FOREST PRODUCTS External Combustion Boilers Industrial487474 MONTANA TUNNELS MINE Internal Combustion Engines Engine Testing 445439 Decker Coal - mine Internal Combustion Engines Industrial412290 EXXONMOBIL BILLINGS REFINERY Industrial Processes Petroleum Industry 4051230 The EI numbers are approximate and have not been verified by EPA

37 Emission Inventory – Highest SOx Emitters Source Type of Source 20022005 PPL MT - COLSTRIP Units 1, 2, 3 & 4 External Combustion Boilers Electric Generation 1408715467 EXXONMOBIL BILLINGS REFINERY Industrial Processes Petroleum Industry 15096 PPL MT - JE CORETTE PLANT External Combustion Boilers Electric Generation 31352894 MONTANA SULPHUR & CHEMICAL Industrial Processes Chemical Manufacturing 23961992 YELLOWSTONE ENERGY LIMITED PARTNERSHIP External Combustion Boilers Electric Generation 15461832 Montana Refining - Great Falls Industrial Processes Petroleum Industry 610917 MDU - LEWIS & CLARK STATION External Combustion Boilers Electric Generation 780839 CHS - Laurel refinery Industrial Processes Petroleum Industry 14646 ConocoPhillips - Billings refinery Industrial Processes Petroleum Industry 3269 ASH GROVE CEMENT Industrial Processes Mineral Products 234245 WESTERN SUGAR COOP-Billings External Combustion Boilers Industrial75127 Graymont Western - Indian Creek Industrial Processes Mineral Products 80111 HOLCIM US INC - TRIDENT PLANT Industrial Processes In-process Fuel Use 16787 Smurfit-Stone CONTAINER Industrial Processes Pulp and Paper and Wood Products 13384 The EI numbers are approximate and have not been verified by EPA

38 Emission Inventory Non-BART Sources  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

39 Non-BART Stationary Sources  Possible Approach Use Q/D for screening –Sources with Q/D > 10 –Q = NOx + SOx + PM (tons/year - PTE) –D = distance to nearest Class I area in km  Possibility of WRAP providing additional information on current and possible control measures for these sources  Use of other sources (i.e., permits) to determine current controls

40 Summary of Analysis for Reasonable Progress at Monture  Are there uncontrolled sources that are controllable? Non-BART Stationary Sources

41 Next Steps  Analyze data for other MT Class I areas  Evaluate contributing sources and source categories for possible controls  Do four factor analysis for identified sources and determine LTS  Consult with states Montana is affecting and that are being affected by Montana


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