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张全文,杨永崇,王 涛,等. 基于元胞自动机的高原林火蔓延三维可视化模拟[J]. 科学技术与工程, 2021, 21(4): 1295-1299.
ZHANG Quan-wen,WANG Tao,et al.Three-dimensional visual simulation of forest fire spread based on cellular automata[J].Science Technology and Engineering,2021,21(4):1295-1299.
基于元胞自动机的高原林火蔓延三维可视化模拟
Three-dimensional visual simulation of forest fire spread based on cellular automata
投稿时间:2020-04-27  修订日期:2020-11-16
DOI:
中文关键词:  元胞自动机模型  转换规则  三维可视化  王正非与毛贤敏组合模型  森林管理
英文关键词:Cellular automaton model  transition rules  three-dimensional visualization  Mao xianmin and Wang zhengfei combination model  forest management
基金项目:
           
作者单位
张全文 西安科技大学
杨永崇 西安科技大学
王 涛 西安科技大学
马 健 西安科技大学
摘要点击次数: 65
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中文摘要:
      森林火灾威胁森林安全,导致生命财产与环境损失,动态模拟森林火灾对于预判森林火灾发展趋势,减少森林火灾危害,科学开展森林火灾灭火工作具有重要理论与现实意义。为更加形象、直观地展示林火三维可视化,将GIS三维可视化与元胞自动机模拟功能相结合来模拟林火蔓延,并借助王正非与毛贤敏模型,定义元胞状态转换规则函数,计算中心燃烧元胞单元在8邻域方向上的蔓延速度分量,最后以云南省安宁市温泉镇为案例区域,针对云南省“3.29”火灾,选择温泉镇地形 、气象 、植被等数据,模拟了“3.29”火灾林火蔓延三维可视化过程,在森林火灾实时动态监测方面具有重要指导意义。
英文摘要:
      Forest fires threaten forest safety, leading to loss of life, property and environment. Dynamically simulating forest fires has important theoretical and practical significance for predicting forest fire development trends, reducing forest fire hazards, and scientifically carrying out forest fire extinguishing work. In order to display the forest fire three-dimensional visualization more visually and intuitively, the three-dimensional visualization of GIS and the cellular automaton simulation function are combined to simulate the forest fire spread, and with the help of the combined model of Mao Xianmin and Wang Zhengfei, the cell state transition rule function is defined, Calculate the spread velocity component of the central combustion cell unit in the direction of 8 neighborhoods. Finally, taking Wenquan Town, Anning City, Yunnan Province as the case area, for the "3.29" fire in Yunnan Province, the terrain, weather, vegetation and other data of Wenquan Town were selected to simulate "3.29" The process of fire spread is of great guiding significance in real-time dynamic monitoring of forest fires.
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