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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Vydané v:	International journal of wildland fire Ročník 23; číslo 6; s. 825 - 838
Hlavní autori:	Gallego Arrubla, Julián A, Ntaimo, Lewis, Stripling, Curt
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	CSIRO Publishing 01.01.2014
Predmet:	fire behavior fire season forests methodology new methods planning risk Texas wildfires Texas USA, Texas
ISSN:	1049-8001, 1448-5516
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