Modeling wildland fire propagation with level set methods

Abstract : Level set methods are versatile and extensible techniques for general front tracking problems, including the practically important problem of predicting the advance of a fire front across expanses of surface vegetation. Given a rule, empirical or otherwise, to specify the rate of advance of an infinitesimal segment of fire front arc normal to itself (i.e., given the fire spread rate as a function of known local parameters relating to topography, vegetation, and meteorology), level set methods harness the well developed mathematical machinery of hyperbolic conservation laws on Eulerian grids to evolve the position of the front in time. Topological challenges associated with the swallowing of islands and the merger of fronts are tractable. The principal goals of this paper are to: collect key results from the two largely distinct scientific literatures of level sets and fire spread; demonstrate the practical value of level set methods to wildland fire modeling through numerical experiments; probe and address current limitations; and propose future directions in the simulation of, and the development of, decision-aiding tools to assess countermeasure options for wildland fires. In addition, we introduce a freely available two-dimensional level set code used to produce the numerical results of this paper and designed to be extensible to more complicated configurations.
Document type :
Journal articles
Complete list of metadatas

Cited literature [25 references]  Display  Hide  Download

https://hal.inria.fr/inria-00566147
Contributor : Nathalie Gaudechoux <>
Submitted on : Friday, March 4, 2011 - 2:25:18 PM
Last modification on : Monday, October 21, 2019 - 1:06:04 PM
Long-term archiving on: Tuesday, November 6, 2012 - 3:20:38 PM

File

mallet09modeling.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Vivien Mallet, David Keyes, Frank Fendell. Modeling wildland fire propagation with level set methods. Computers and Mathematics with Applications, Elsevier, 2009, 57 (7), pp.1089--1101. ⟨10.1016/j.camwa.2008.10.089⟩. ⟨inria-00566147⟩

Share

Metrics

Record views

532

Files downloads

621