A33N-05:
Photochemical Air Quality Modeling for California By U.S. EPA and Carb

Wednesday, 17 December 2014: 2:40 PM
James Kelly1, Chenxia Cai2, Kirk R Baker1, Jeremy Avise2,3 and Ajith P Kaduwela2,4, (1)Environmental Protection Agency Research Triangle Park, Research Triangle Park, NC, United States, (2)California Air Resources Board, Sacramento, CA, United States, (3)Washington State University, Civil and Environmental Engineering, Pullman, WA, United States, (4)UC-Davis Air Quality Research Center, Davis, CA, United States
Abstract:
Multiple areas of California have been designated as nonattainment of the National Ambient Air Quality Standards (NAAQS) for ozone and PM2.5 (particulate matter with aerodynamic diameter < 2.5 microns). Air quality modeling plays a key role in developing emission control strategies for attaining the NAAQS in these regions and for estimating the incremental costs and benefits of meeting new NAAQS levels. The complex terrain, meteorology, emissions, and chemistry in California present challenges to such air quality modeling. In this study, we improve understanding of modeling approaches for California by comparing and evaluating predictions of the Community Multiscale Air Quality (CMAQ) model as configured by the California Air Resources Board (CARB) and the U.S. Environmental Protection Agency (EPA). Both simulations were conducted at 4-km horizontal resolution and cover the May-June 2010 period when special study measurements were made. Despite differences in emissions, meteorology, boundary conditions, and chemical mechanisms, the CMAQ predictions by EPA and CARB were generally similar with good model performance for ozone at key monitors. Differences in predictions for PM2.5 components were identified in some locations and attributed to differences in emissions and other platform elements. Our results suggest areas where model development would be beneficial.