Forest fire risk assessment based on combination weighting of game theory

Abstract

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

[1]	Ning Xin, He Xin, Wang Jun, Sun zhang. Single⁃phase contact tree ground fault ignition characteristics and model analysis [J]. Fire Science and Technology, 2023, 42(8): 1046-1050.
[2]	Wang Naiyu, Wang Zhuo, Zhang Zichao, Wu Jinting. Reserch on forest fire detection base on improved YOLOv5 [J]. Fire Science and Technology, 2023, 42(8): 1117-1120.
[3]	Cui Chenxi, Shan Yanlong, Cao Lili, Li Changhua, . Current situation and allocation optimization of forest fire emergency resources in Baihe forestry bureau, Jilin Province [J]. Fire Science and Technology, 2023, 42(7): 995-999.
[4]	Qi Zhenbiao, Guo Xiaoxue, Shou Yuming, Zhang Jiaqing, Zhang Binbin. Risk assessment of fire induced by overhead distribution lines across forest areas [J]. Fire Science and Technology, 2023, 42(6): 829-834.
[5]	Chen Yicheng, Xin Ying, Zhang Dexin. Study on the combustibility of litter in seven forest lands of Changbai Mountain based on thermogravimetric analysis [J]. Fire Science and Technology, 2023, 42(5): 709-713.
[6]	Yang Chunmei, Liu Tongbin, Wang Cheng, Liu Jiuqing. Analysis and optimization of fire extinguishing performance of drainage type forest fire robot [J]. Fire Science and Technology, 2023, 42(4): 556-562.
[7]	Bai Haifeng, Niu Shukui, Liu Xiaodong. Study on potential surface fire behavior and transition ratio to crown fire of Platycladus orientalis stands in Beijing Xishan [J]. Fire Science and Technology, 2023, 42(4): 563-567.
[8]	Li Shuang, Cao Meng, Zhu Yanpeng. Temporal and spatial distribution of economic losses and casualties of forest fires in China [J]. Fire Science and Technology, 2023, 42(3): 387-391.
[9]	Ma Zenan , Gao Zhongliang , Wang Hechenyang , Yang Hongyan. Research on the evolution characteristics and laws of forest fires in Yunnan Province under the background of climate change [J]. Fire Science and Technology, 2023, 42(1): 115-119.
[10]	Xu Ya, Pang Jihua. Fire and explosion accident simulation of coalgasification plant in a coal chemical enterprise [J]. Fire Science and Technology, 2022, 41(9): 1247-1250.
[11]	Peng Yankun, Du Kun, Song Zhigang, Zhou Ming. Study on fire water supply safety index of traditional villages considering fire risk [J]. Fire Science and Technology, 2022, 41(9): 1228-1232.
[12]	Zhu Xinping, Qu Jingjing, Xu Chuan. Air-ground integrated command system design for forest fire rescue [J]. Fire Science and Technology, 2022, 41(9): 1287-1290.
[13]	LIU Qing-en. Assessment of personnel evacuation safety in indoor water park [J]. Fire Science and Technology, 2022, 41(8): 1083-1087.
[14]	JIN Yong-hua, QUAN Wei. Research on the construction of policy system to promote the high-quality development of forest fire fighting equipment manufacturing industry in China [J]. Fire Science and Technology, 2022, 41(8): 1143-1146.
[15]	AN Jing, ZHANG Li-ning, PANG Xiao-na, CUI Cai-yun. The fire risk assessment system for high-risebuildings based on unascertainedclustering method [J]. Fire Science and Technology, 2022, 41(7): 942-945.

Forest fire risk assessment based on combination weighting of game theory

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments