主管:中华人民共和国应急管理部
主办:应急管理部天津消防研究所
ISSN 1009-0029  CN 12-1311/TU

Fire Science and Technology ›› 2022, Vol. 41 ›› Issue (2): 252-256.

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Forest fire risk assessment based on combination weighting of game theory

JU Wei-yi, WU Jie, ZHOU Si-yu, XING Zhi-xiang   

  1. (School of Environmental and Safety Engineering, Changzhou University, Jiangsu Changzhou 213164, China)
  • Online:2022-02-15 Published:2022-02-15

Abstract: In order to conduct in-depth study of urban forest fires, this paper proposed a risk assessment index system for urban forest fires in Changzhou. By using GIS software to analyze and process the basic geographic data, the comprehensive weight index was obtained by using the combination weighting method based on game theory, and the forest fire risk value model was established. Finally, the risk value level under the combination weighting method was obtained. The results showed that the forest fire risk level of Liyang City is high, Jintan District is medium, Xinbei District, Wujin District and Tianning District are low. This evaluation result provides a reference for local fire management departments to prevent forest fires.

Key words: forest fire, risk assessment, game theory combinatorial weighting, entropy weight method