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Integration of Geographic Information Systems with a Diagnostic Wind Field Model for Fire Management

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Abstract:

The past 10 years have seen an increased interest in diagnostic wind modeling efforts in the fields of air pollution research and wind energy engineering. Applications relating wind to forest fire behavior are also beginning to capitalize on computer-generated outputs from wind models. Most wind model outputs have been considered useful only as intermediate data files loaded into specialized software packages for further processing. Output data are used to generate various output products without being passed into sophisticated mathematical models. With the developed technology of geographic information systems (GIS), new map products can be created. If designed properly, these maps can pass information more efficiently to both the decision maker and the GIS for further analysis. The methods used to create and edit topographic and meteorological databases, display the results of the KRISSY diagnostic wind field model, and perform analyses on the topography and estimated wind field are described. For. Sci. 37(2):560-573.

Keywords: Wind modeling; chaparral; geographic information systems; wildfire

Document Type: Journal Article

Affiliations: Department of Earth Sciences, University of California, Riverside, CA 92521

Publication date: 1991-06-01

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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