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CMAS Conference Overview James Boylan Georgia EPD – Air Protection Branch SEMAP Air Quality Modeling Lead 2012 EPA Region 4 Modelers Workshop November 13, 2012 – Atlanta, GA. CMAS Sessions. Model Development Model Evaluation and Analysis Emissions Inventories, Models, and Processes
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CMAS ConferenceOverviewJames BoylanGeorgia EPD – Air Protection BranchSEMAP Air Quality Modeling Lead2012 EPA Region 4 Modelers WorkshopNovember 13, 2012 – Atlanta, GA
CMAS Sessions • Model Development • Model Evaluation and Analysis • Emissions Inventories, Models, and Processes • Modeling Secondary Impacts from Single Sources or Single Source Complexes • Global/Regional Modeling Applications • Source-Receptor Modeling and Analysis • Air Quality Measurements and Observational Studies • Coupled Meteorology/Chemistry Models http://www.cmascenter.org/conference/2012/agenda.cfm
Model Developmentchaired by:Prakash Bhave (US EPA) and Eduardo Olaguer (HARC)
Model Evaluation and Analysischaired by:Talat Odman (Georgia Tech) and James Boylan (Georgia DNR)
Modeling Secondary Impacts from Single Sources or Single Source Complexeschaired by:Kirk Baker (US EPA)
Development of PM2.5 Interpollutant Trading RatiosJames Boylan and Byeong-Uk KimGeorgia EPD – Air Protection Branch2012 CMAS ConferenceOctober 16, 2012 – Chapel Hill, NC
Summary PM2.5 offset ratios vary with distance. Maximum ratio is always near the source. PM2.5 offset ratios vary with season. Can use seasonal ratio for daily PM2.5 ratio. PM2.5 offset ratios vary with grid resolution. Need 4-km grid resolution (or less) to evaluate near source impacts, 12-km sufficient for more distant impacts. PM2.5 offset ratios vary with stack height. Impacts of meteorology and chemistry are important near the source. PM2.5 offset ratios vary with emission rate. Direct PM2.5 is linear, but SO2 and NOx are nonlinear near the source.
Policy Issues Should we use the “near source” ratios or the “far from source” ratios? Does it depend on the location of the sources that are trading and/or the location of the maximum PM2.5 concentrations in the area? Can you use the “most conservative” SO2 and NOx trading ratios for other sources in region? Depends if source is trading SO2/NOx for PM2.5 or trading PM2.5 for SO2/NOx. Increase PM2.5 emissions by 1 ton in exchange for reducing SO2 emissions by 40 tons (40:1 ratio). Increase SO2 emissions by 10 tons in exchange for reducing PM2.5 emissions by 1 ton (10:1 ratio).
Global/Regional Modeling Applicationschaired by:Rohit Mathur (US EPA) andMike Moran (Environment Canada)
Source-Receptor Modeling and Analysischaired by:Sergey Napelenok (US EPA) and Daniel Cohan (Rice University)
Contact Information Jim Boylan, Ph.D.Georgia Dept. of Natural Resources4244 International Parkway, Suite 120Atlanta, GA 30354James.Boylan@dnr.state.ga.us 404-362-4851