Mountains Forest Fire Spread Simulator Based on Geo-Cellular Automaton Combined With Wang Zhengfei Velocity Model

摘要: The aim of this paper is to propose a more practical mountain fire spread model for behavior prediction and management in Southwest forest area China. These areas are covered mainly with spatial heterogeneous flammable characterized by undulating terrain steep slopes. This can produce accurate propagation maps combining CA (Cellular Automaton) framework Wang Zhengfei physical velocity fine scale. Considering the inherent uncertainties propagation, has been built on multi-dimension geophysical environmental components also sound knowledge mechanism. Regarding small fuel patches as homogenous cells, approach makes it easier generate higher level complex from simple local rules integrated high resolution vegetation images, scale surface wind field. Because focuses primarily study front behavior, attempts simplify modeling. Additionally, Wang-Geophysical-CA able analyze time series pattern fire-front instead final conventional approach. In work, not only single influence verification tests have made, but simulation multiple influences carried out demonstrate capability maps, field, terrain, moisture content man-made structures. Consequently, believable that predictions good agreement experimental data steady-state simulation. proposed helps gain greater understanding quickly sequence contours. It enables managers plan prevention activities China well improve skills, will enhance effectiveness fighting strategies.