Landslide susceptibility evaluation in Badong County based on weights of evidence method

Hu Yan; Li Deying; Meng Songsong; Sun Yiqing

doi:10.19509/j.cnki.dzkq.2020.0320

Volume 39 Issue 3

May 2020

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Hu Yan, Li Deying, Meng Songsong, Sun Yiqing. Landslide susceptibility evaluation in Badong County based on weights of evidence method[J]. Bulletin of Geological Science and Technology, 2020, 39(3): 187-194. doi: 10.19509/j.cnki.dzkq.2020.0320

Citation:

Hu Yan, Li Deying, Meng Songsong, Sun Yiqing. Landslide susceptibility evaluation in Badong County based on weights of evidence method[J]. Bulletin of Geological Science and Technology, 2020, 39(3): 187-194. doi: 10.19509/j.cnki.dzkq.2020.0320

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Landslide susceptibility evaluation in Badong County based on weights of evidence method

doi: 10.19509/j.cnki.dzkq.2020.0320

Hu Yan^{1a, 1b
,},
Li Deying^{1b
,
,},
Meng Songsong²,
Sun Yiqing^1b

Received Date: 15 Mar 2019

Abstract

Abstract

Because of its special geographical location and special geological conditions, Badong County becomes a prone zone of geological hazards, especially landslide disasters. It is necessary to research landslide susceptibility evaluation, because of its serious threat to the development of Badong County.First, we extracted the influence factors of the formation and development of landslide respectively and divided the evidence layer on GIS.The influence factors include the formation lithology, geographic and geomorphic conditions, geological structure, and hydrogeological conditions.The weights of evidence method was applied to calculate the weights of each layer of evidence and posterior probability respectively.Then, distribution chart of landslide susceptibility was generated by overlaying posterior probability of evidence layer of each unit. Finally, according to Natural Breaks law, the researched region was divided into five categories:extremely high, high, moderate, low, and extremely low by landslide susceptibility.The sum area of extremely high and high is about 33% of the total area and about 86% of existing landslides occurred in extremely high prone area and high prone area.The result shows good by using the success rate curve test that division.
- landslide,
- weights of evidence method,
- posterior probability,
- susceptibility zonation

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References(30)

References

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Landslide susceptibility evaluation in Badong County based on weights of evidence method

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