HUBEI AGRICULTURAL SCIENCES ›› 2019, Vol. 58 ›› Issue (9): 37-42.doi: 10.14088/j.cnki.issn0439-8114.2019.09.009

• Resource & Environment • Previous Articles     Next Articles

Risk assessment of mountain floods disaster in Shennongjia village based on GIS and fuzzy mathematics

WANG Wang-zhen, LI Yu-gang, ZHOU You-you   

  1. School of Civil Engineering,Wuhan University,Wuhan 430072,China
  • Received:2018-10-31 Online:2019-05-10 Published:2019-12-05

Abstract: Mountain torrent in Shennongjia forest region occurs frequently. In order to evaluate the disaster situation in various areas of Shennongjia and provide the government with technical support for disaster prevention planning, the fuzzy comprehensive evaluation model of mountain flood disaster risk in villages and towns in Shennongjia forest region was constructed from four angles which were the risk of disaster factors, the exposure of the disaster environment, the vulnerability of the carrier and disaster prevention and mitigation measures according to the occurrence mechanism of mountain flood disasters and the risk assessment principle of mountain flood disasters. And multi-level fuzzy comprehensive evaluation of it was carried out by analytic hierarchy process and GIS. Results showed that the forest mountain torrent disaster risk was mainly affected by rainfall, and the overall trend was southwest higher than northeast. Mountain torrent disaster exposure risk distribution had strong regional features, mainly concentrated in the central and western. Vulnerability risk was relatively small. Disaster prevention and mitigation capacity of district was overall weak, and forest infrastructure needs to be strengthened. The concentration area of comprehensive high value of flash floods in Shennongjia forest region was the west Muyu town and Dajiuhu village, two important tourist town, the square of high and above risk area of these two areas accounted for 24.92% of whole district.

Key words: mountain torrent disaster, fuzzy comprehensive evaluation, AHP, GIS, Shennongjia forest region

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