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A Level-set Algorithm for Simulating Wildfire Spread

T. Ghisu1, B. Arca2, G. Pellizzaro2, P. Duce2

Dipartment of Mechanical, Chemical and Materials Engineering, University of Cagliari, Italy
Institute of Biometeorology, National Research Council, Italy

Computer Modeling in Engineering & Sciences 2014, 102(1), 83-102.


Level-set approaches are efficient and versatile methods for solving interface tracking problems and have been used in recent years to describe wildland fire propagation. Being based on an Eulerian description of the spread problem, their numerical implementation offers improved computational agility and better portability to parallel computing environments with respect to vector-based simulators. The use of a continuous representation of the fire perimeter in place of the binary formulation used in Cellular Automata avoids the commonly observed distortion of the fire shape. This work presents an algorithm for fire-spread simulation based on a level-set formulation. The results are compared to the ones obtained by two well-known Cellular Automata simulators under homogeneous conditions, and to the ones given by a well-know vector-based fire-spread simulator under realistic slope and wind conditions. According to this work, the level-set approach provides better results, in terms of accuracy, at a much reduced computational cost.


Cite This Article

APA Style
Ghisu, T., Arca, B., Pellizzaro, G., Duce, P. (2014). A level-set algorithm for simulating wildfire spread. Computer Modeling in Engineering & Sciences, 102(1), 83-102.
Vancouver Style
Ghisu T, Arca B, Pellizzaro G, Duce P. A level-set algorithm for simulating wildfire spread. Comput Model Eng Sci. 2014;102(1):83-102
IEEE Style
T. Ghisu, B. Arca, G. Pellizzaro, and P. Duce "A Level-set Algorithm for Simulating Wildfire Spread," Comput. Model. Eng. Sci., vol. 102, no. 1, pp. 83-102. 2014.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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