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An Integer Programming Model to Optimize Resource Allocation for Wildfire Containment

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Abstract:



Determining the specific mix of fire-fighting resources for a given fire is a necessary condition for identifying the minimum of the Cost Plus Net Value Change (C+NVC) function. Current wildland fire management models may not reliably do so. The problem of identifying the most efficient wildland fire organization is characterized mathematically using integer-programming techniques. This mathematical exposition is then solved using the LINGO optimization language. Sensitivity analysis is conducted on model inputs to demonstrate the flexibility of the model architecture. Further, the model is used to model budget constraints commonly faced by fire managers. FOR. SCI. 49(2):331–335.

Keywords: Linear programming; environmental management; forest; forest management; forest resources; forestry; forestry research; forestry science; integer programming; natural resource management; natural resources; optimization; wildfire management

Document Type: Miscellaneous

Affiliations: 1: Research Forester Pacific Northwest Research Station, USDA Forest Service, Portland, OR, 97205, Phone: (503) 808-2043 gdonovan@fs.fed.us 2: Professor Department of Forest Science, Colorado State University, Fort Collins, CO, 80523,

Publication date: 2003-04-01

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

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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