A subjective and objective integrated weighting method for landslides susceptibility mapping based on GIS |
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| Authors: | Wei-Dong Wang Jing Guo Li-Gang Fang Xin-Sheng Chang |
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| Institution: | (1) School of Civil Engineering and Architecture, Central South University, 22 South Shaoshan Road, Changsha, 410075, China;(2) Virginia Tech Transportation Institute, Virginia Polytechnic Institute and State University, 3500 Transportation Research Plaza, Blacksburg, VA 24061, USA |
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| Abstract: | The purpose of this study is to present a weighting method, integrating subjective weight with objective weight, for landslides
susceptibility mapping based on geographical information system (GIS). First, the landslide inventory, aspect, slope, proximity
to streams of drainage network, proximity to railway, proximity to road, topography, elevation, lithology, tectonic activity
and annual precipitation, including their subclasses, were taken as independent landslide causal factors. Second, objective
weights of the causal factors were calculated according to the landslide area density based on entropy weighting method, and
key factors were selected according to the rank of the objective weights. Third, trapezoidal fuzzy number weighting approach
was used to assess the sub-classes of each key factor. Finally, a case study was carried out in Guizhou province, China. A
landslide susceptibility map was created using weighted linear combination model based on GIS. Using a predicted map of probability,
the study area was classified into four categories of landslide susceptibility: low, moderate, moderate-high, and high. |
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