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
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
Phone: 3108255364
E-mail: jochen@atmos.ucla.edu

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