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Status and Changes to the US National Emissions Inventory (NEI) Thompson G. Pace, PE U.S. EPA Research Triangle Park, NC
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2 Overview of this Presentation Brief Perspective on The US’s PM Problems The US’s National Emissions Inventory Current Practices Changes being considered / implemented Specific source categories (and process- based model development) Wildland Fires Fugitive Dust Mobile Sources Ammonia
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4 PM2.5 Ambient Composition
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5 Total Carbon – Directly Emitted PM2.5 ( National Emissions ~ 2M TPY)
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6 SO2 – Precursor to Ammonium Sulfate Formation (National Emissions ~ 17.6 M TPY)
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7 NH3 – Precursor to Ammonium Sulfate & Nitrate (National Emissions ~ 4.8 M TPY)
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8 Crustal Materials (Mainly Fugitive Dust) PM2.5 is usually < 1 ug/m3 annual average Exception: Most of Southwest, California Main Sources: Unpaved roads Agricultural tilling Construction Windblown dust Fly ash Large emissions – low transportable fraction
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NEI Development ~ Cooperative, Iterative
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10 Changes to NEI Preparation Process 12 month Schedule is being considered (now 36 months) Improving the Technical Infrastructure Develop Improved Tools Data Acquisition, Estimation & Distribution New technologies must be used GIS Process Models Remote Sensing PM2.5 Program Priorities Wildland Fires, Fugitive Dust, Mobile Sources & Ammonia
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11 Fuel Type and Loading Fuel Consumption Emissions Production Dispersion / AQ Modeling / Monitoring Fire Occurrence Fire Emissions Process Modeling
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12 Tools to Support Fire Emissions Estimation Fire Occurrence Databases Ground-based data systems Remote Sensing
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Comparison of Ground Reported and Remote Sensed Fires August 1, 2001
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14 Potential Role(s) for Remote Sensing in Fire Emissions Estimation and Smoke Transport Fire Identification & Characterization Time & date, location, size Fuel Characterization (Fuel Type & Loading) Default maps (resolution, specificity) Natural alterations to “default” conditions Fuel treatments to reduce fire hazard Fuel moisture Emissions Production Heat release & emissions Plume initial conditions Transport & transformation Terrain Impacted populations Ground-truthing Actual vs modeled plume path fixed networks & portable monitoring * Re
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15 Tools to Support Fire Emissions Estimation Fire Occurrence Databases Ground-based data systems Remote Sensing Fire Emissions Modeling AP-42 and past National Emissions Inventories Methods simplistic, migrating to newer tools for 2002 (v2) Current: NFDRS, Consume, FOFEM, EPM New: Fire Emissions Production Simulator (FEPS) replaces EPM New: FCC national fuels mapping replacement for NFDRS
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16 Tools to Support Fire Emissions Estimation Fire Occurrence Databases Ground-based data systems Remote Sensing Fire Emissions Modeling AP-42 and past National Emissions Inventories Methods simplistic, migrating to newer tools for 2002 (v2) Current: NFDRS, Consume, FOFEM, EPM New: Fire Emissions Production Simulator (FEPS) replaces EPM New: FCC national fuels mapping replacement for NFDRS BlueSky system BlueSky-EM (emissions) RAINS Grid-model Linkage
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17 BlueSkyRAINS ~ Output Products
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18 Example Fire Trajectories for August 1, 2004 [BlueSkyRAINS (BSR) and Hazard Mapping System (HMS) Disagree] Legend BSR Fire HMS Fire Trajectories by BSR Modeling (Every 3 Hr) Trajectories by Remote Sensing (AM & PM)
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19 Fugitive Dust Technical Issues Emissions very high (wrt) crustal matter in samples PM2.5 to PM10 Ratio Removal of dust near the source (< 100m)
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20 Fugitive Dust Technical Issues Emissions very high (wrt) crustal matter in samples PM2.5 to PM10 Ratio Removal of dust near the source (< 100m) Process-based Emissions Model (future) Soil / road surface silt content Soil moisture Rainfall Crop cover Ground cover Wind speed
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21 Other PM Priority Source Categories Mobile Sources Mobile 6 & NONROAD (2004 version) NMIM, consolidated model w/ county database Temperature, barometric pressure Fuel properties Vehicle Kilometers Traveled Complete rework of models forthcoming Multi-scale mOtor Vehicle & equipment Emissions System Ammonia Process-based model under development by RPO’s Condensibles Including condensibles increased PM2.5 significantly
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22 In Summary NEI Development Schedule We believe the US can shorten its NEI development schedule by factor of 2 or 3 Better utilization of emerging technologies GIS, Remote Sensing, Process-based emissions models Priority categories for PM Wildland Fires Fugitive Dust Mobile Sources Ammonia Condensibles
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