GIS-based weights-of-evidence modelling of rainfall-induced landslides in small catchments for landslide susceptibility mapping |
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| Authors: | Ranjan Kumar Dahal Shuichi Hasegawa Atsuko Nonomura Minoru Yamanaka Takuro Masuda Katsuhiro Nishino |
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| Institution: | (1) Department of Safety Systems Construction Engineering, Faculty of Engineering, Kagawa University, 2217-20, Hayashi-cho, Takamatsu City 761-0396, Japan;(2) Department of Geology, Tri-Chandra Multiple Campus, Tribhuvan University, Ghantaghar, Kathmandu, Nepal;(3) OYO Corporation, 2-61-5, Toro-Cho, Kita-Ku, Saitama 331-8688, Japan |
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| Abstract: | Landslide susceptibility mapping is a vital tool for disaster management and planning development activities in mountainous terrains of tropical and subtropical environments. In this paper, the weights-of-evidence modelling was applied, within a geographical information system (GIS), to derive landslide susceptibility map of two small catchments of Shikoku, Japan. The objective of this paper is to evaluate the importance of weights-of-evidence modelling in the generation of landslide susceptibility maps in relatively small catchments having an area less than 4 sq km. For the study area in Moriyuki and Monnyu catchments, northeast Shikoku Island in west Japan, a data set was generated at scale 1:5,000. Relevant thematic maps representing various factors (e.g. slope, aspect, relief, flow accumulation, soil depth, soil type, land use and distance to road) that are related to landslide activity were generated using field data and GIS techniques. Both catchments have homogeneous geology and only consist of Cretaceous granitic rock. Thus, bedrock geology was not considered in data layering during GIS analysis. Success rates were also estimated to evaluate the accuracy of landslide susceptibility maps and the weights-of-evidence modelling was found useful in landslide susceptibility mapping of small catchments. |
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| Keywords: | Landslide GIS Weights-of-evidence modelling Susceptibility map Rainfall |
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