title: Effects of land use data on dry deposition in a regional photochemical model for eastern Texas.
abstract: Land use data are among the inputs used to determine dry deposition velocities for photochemical grid models such as the Comprehensive Air Quality Model with extensions (CAMx) that is currently used for attainment demonstrations and air quality planning by the state of Texas. The sensitivity of dry deposition and O3 mixing ratios to land use classification was investigated by comparing predictions based on default U.S. Geological Survey (USGS) land use data to predictions based on recently compiled land use data that were collected to improve biogenic emissions estimates. Dry deposition of O3 decreased throughout much of eastern Texas, especially in urban areas, with the new land use data. Predicted 1-hr averaged O3 mixing ratios with the new land use data were as much as 11 ppbv greater and 6 ppbv less than predictions based on USGS land use data during the late afternoon. In addition, the area with peak O3 mixing ratios in excess of 100 ppbv increased significantly in urban areas when deposition velocities were calculated based on the new land use data. Finally, more detailed data on land use within urban areas resulted in peak changes in O3 mixing ratios of approximately 2 ppbv. These results indicate the importance of establishing accurate, internally consistent land use data for photochemical modeling in urban areas in Texas. They also indicate the need for field validation of deposition rates in areas experiencing changing land use patterns, such as during urban reforestation programs or residential and commercial development.
authors.affiliation: Center for Energy and Environmental Resources, The University of Texas at Austin 78758, USA. ecmb@mail.utexas.edu
authors.forename: E
authors.initials: E
authors.lastname: McDonald-Buller
authors.forename: C
authors.initials: C
authors.lastname: Wiedinmyer
authors.forename: Y
authors.initials: Y
authors.lastname: Kimura
authors.forename: D
authors.initials: D
authors.lastname: Allen
mesh_terms: D000383:Agriculture; D000392:Air Movements; D000397:Air Pollution / Q000032:analysis*; D004784:Environmental Monitoring; D007221:Industry; D008962:Models, Theoretical; D010083:Oxidants, Photochemical / Q000032:analysis*; D010126:Ozone / Q000032:analysis*; D015203:Reproducibility of Results; D012621:Seasons; D012680:Sensitivity and Specificity
chemical_list: D010083:Oxidants, Photochemical; D010126:Ozone