Stochastic Representation of Fire Occurrence in a Wildland Fire Protection Planning Model for California
Abstract:A fire occurrence module was developed for CFES-IAM Version 2, a stochastic simulation model of initial attack on wildfires in California. The module is designed to generate annual sequences of fire start times that are consistent with local fire history. A three-stage approach was employed: (1) For each day of a simulated fire season, a random draw from a Bernoulli distribution is used to determine if any fires occur; (2) if any do occur, a random draw from a geometric multiplicity distribution determines theft number; (3) ignition times for each fire are then randomly drawn from a time of day (beta or Poisson) distribution. This approach and specific distributional forms were selected after analysis of historical fire records from California's Sierra foothills and Central Valley. Fire sequences generated with the module appear to capture historical patterns with respect to diurnal distribution, interfire times, and total number of fires per year. For. Sci. 34(4):948-959.
Document Type: Journal Article
Affiliations: Assistant Professor, Department of Forestry and Resource Management, University of California, Berkeley
Publication date: 1988-12-01
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- 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
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