An Integer Programming Model to Optimize Resource Allocation for Wildfire Containment
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 firstname.lastname@example.org 2: Professor Department of Forest Science, Colorado State University, Fort Collins, CO, 80523,
Publication date: 2003-04-01
- 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.
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