Abstract
 Use of GIS Databases in Urban Air Quality Modeling Track: Climate, Weather and Atmosphere Author(s): Stephen Hurlock, Jochen Stutz Surfaces of buildings can absorb, process, and release atmospheric pollutants such as nitrogen oxides, while building volumes affect pollutant concentrations. Emerging models for the atmospheric chemistry which governs urban air quality require surface and volume statistics for the urban canopy. Morphometric analysis of urban areas using GIS can provide these statistics. The impact of explicitly including building surfaces and volumes on model results is striking, and the effects of database shortcomings can also be seen. This is one of many areas where atmospheric science is turning to GIS to provide needed urban canopy parameters. This paper will present the use of a high resolution urban GIS (from Santa Monica) to determine parameters for an atmospheric chemistry model. Approaches for deriving parameters using GIS and estimates of their fidelity will be presented. Database characteristics which enable determination of the parameters as well as those which limit its usefulness will be discussed. Stephen Hurlock University of California at Los Angeles Atmospheric and Oceanic Sciences 3426 Lathrop Avenue Simi Valley , CA 93063 US Phone: 3108253439 Fax: 3102065219 E-mail: steveh@atmos.ucla.edu Jochen Stutz University of California at Los Angeles Atmospheric and Oceanic Sciences 405 Hilgard Avenue Room 7127 Math Sciences Building Los Angeles , CA 90095-1547 US Phone: 3108255364 E-mail: jochen@atmos.ucla.edu |
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