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INTEGRATION OF THE BIOGENIC EMISSIONS INVENTORY SYSTEM (BEIS3) INTO THE COMMUNITY MULTISCALE AIR QUALITY MODELING SYSTEM
Pierce Jr., T. E., C. D. Geron, E. Kinnee, AND J. Vukovich. INTEGRATION OF THE BIOGENIC EMISSIONS INVENTORY SYSTEM (BEIS3) INTO THE COMMUNITY MULTISCALE AIR QUALITY MODELING SYSTEM. Presented at 25th Conference on Agricultural and Forest Meteorology, Norfolk, VA, May 20-24, 2002.
The importance of biogenic emissions for regional air quality modeling is generally recognized [Guenther et al., 2000]. Since the 1980s, biogenic emission estimates have been derived from algorithms such as the Biogenic Emissions Inventory System (BEIS) [Pierce et. al., 1998]. Version 3.10 of BEIS is being implemented as part of an upgrade to EPA's Community Multiscale Air Quality (CMAQ) modeling system. BEIS3.10 contains several improvements over BEIS2: (1) a 1-km vegetation database for the contiguous United States, which resolves forest canopy coverage by tree species; (2) normalized emission factors for 34 chemical species, including 14 monoterpenes: (3) a soil nitric oxide emissions algorithm that accounts for soil moisture, crop canopy coverage, and fertilizer application; and, (4) speciation factors for the CBIV, RADM2, and SAPRC99 chemical mechanisms. The purpose of this paper is to provide preliminary results from BEIS3.10 and to compare volatile organic compound (VOC) and nitric oxide (NO) emission estimates from BEIS2 and BEIS3.
This paper has been reviewed in accordance with the U.S. Environmental Protection Agency's peer and administrative review policies. Mention of products or trade names does not constitute endorsement or recommendation of their use.
To improve the accuracy of emissions and dry deposition algorithms in the Agency's regulatory air quality and multimedia simulation models. This effort requires developing process-oriented algorithms, assembling geographical data, evaluating algorithms against field data, and designing and collaborating on field experiments to collect the data needed to test these algorithms.
Record Details:Record Type: DOCUMENT (PRESENTATION/PAPER)
Organization:U.S. ENVIRONMENTAL PROTECTION AGENCY
OFFICE OF RESEARCH AND DEVELOPMENT
NATIONAL EXPOSURE RESEARCH LAB
ATMOSPHERIC MODELING DIVISION
MODELING SYSTEMS ANALYSIS BRANCH