Forest fire spread fast model based on 3D cellular automaton in spatially heterogeneous area.
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Abstract
In order to establish a dynamic prediction and 3D visualization model for forest fire spread, a Wang Zhengfei3D CA realtime model was proposed. Both physical rules and global factors for forest fire spread were considered in this modified model, which involved wind direction, wind velocity, temperature, terrain slope and vegetation type on the basis of Wang Zhengfeis experiential initial fire spread velocity, and the transformation rule was established according to energy exchanged in cells. Some experiments in southwestern fireprone areas in China had been done in this paper and the process of fire spread and achieves vector boundary were simulated in multiconstraint conditions. Results show that the modified model is feasible and effective with a small quantity of input parameters, could simulate forest fire under different conditions and rapidly predict a developing fire.
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