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Abstract
Using USGS National Land Cover Data to Develop Ozone Emission Surrogates
Track: Environment Management
Author(s): Patricia Stiefer
Modeling ozone formation in the atmosphere requires the input of spatially resolved estimates of precursor emissions distributed across a geographic grid pattern that defines the modeling domain. A GIS-based approach has been used to develop gridded spatial allocation factors (SAF) for several air quality studies in California and Texas. Based on raw spatial surrogate data processed by ArcInfo, these SAFs are used to spatially disaggregate county-level emissions from widespread, diffuse sources. Spatial surrogates are economic, demographic, and land cover patterns that vary geographically. Agricultural land cover data, for example, can be used to develop gridded SAFs for emissions from sources such as off-road agricultural equipment. This paper will discuss the use of ArcInfo 8.2 to process the USGS 30-meter resolution National Land Cover Data into gridded spatial allocation factors for the states of Texas, Louisiana, Arkansas, and Oklahoma.
Patricia Stiefer
Sonoma Technology Inc.
GIS
1360 Redwood Way
Suite C
Petaluma , CA 94954-1169
USA
Phone: 707-665-9900
Fax: 707-665-9800
E-mail: pats@sonomatech.com