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2008

Towards applications of particle filters in wildfire spread simulation

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Towards applications of particle filters in wildfire spread simulation
Wildfire propagation is a complex process influenced by many factors. Simulation models of wildfire spread, such as DEVS-FIRE, are important tools for studying fire behavior. This paper presents how the sequential Monte Carlo methods, i.e., particle filters, can work together with DEVS-FIRE for better simulation and prediction of wildfire. We define an application framework of particle filters for the problem of wildfire spread using the DEVS-FIRE model, and discuss several applications. A case study example is provided and preliminary results are presented.
Feng Gu, Xiaolin Hu
Added 02 Oct 2010
Updated 02 Oct 2010
Type Conference
Year 2008
Where WSC
Authors Feng Gu, Xiaolin Hu
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