Titolo:  An Improved Cellular Automata for Wildfire Spread
Data di pubblicazione:  2015
Abstract:  Despite being computationally more efficient than vector-based approaches, the use of rasterbased techniques for simulating wildfire spread has been limited by the distortions that affect the fire shapes. This work presents a Cellular Automata approach that is able to mitigate this problem with a redefinition of the spread velocity, where the equations generally used in vector-based approaches are modified by means of a number of correction factors. A numerical optimization approach is used to find the optimal values for the correction factors. The results are compared to the ones given by two well-known Cellular Automata simulators. According to this work, the proposed approach provides better results, at a comparable computational cost.
Handle:  http://hdl.handle.net/11584/116291
Tipologia: 1.1 Articolo in rivista

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