Wildfire initial response planning using probabilistically constrained stochastic integer programming

This paper presents a new methodology for making strategic dozer deployment plans for wildfire initial response planning for a given fire season. This approach combines a fire behaviour simulation, a wildfire risk model and a probabilistically constrained stochastic integer programming model, and ta...

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Bibliographic Details

Published in:	International journal of wildland fire Vol. 23; no. 6; pp. 825 - 838
Main Authors:	Gallego Arrubla, Julián A, Ntaimo, Lewis, Stripling, Curt
Format:	Journal Article
Language:	English
Published:	CSIRO Publishing 01.01.2014
Subjects:	fire behavior fire season forests methodology new methods planning risk Texas wildfires Texas USA, Texas
ISSN:	1049-8001, 1448-5516
Online Access:	Get full text
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