Application of analytic hierarchy process model for landslide susceptibility mapping in the Gangu County, Gansu Province, China

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• 作者：Yanli Wu ; Wenping Li ; Ping Liu ; Hanying Bai ; Qiqing Wang…
• 关键词：Landslide ; Susceptibility mapping ; Analytical hierarchy process (AHP) ; Geographic information system (GIS)
• 刊名：Environmental Earth Sciences
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：75
• 期：5
• 全文大小：2,902 KB
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• 作者单位：Yanli Wu (1) (2)
  Wenping Li (1)
  Ping Liu (2)
  Hanying Bai (3)
  Qiqing Wang (1)
  Jianghui He (1)
  Yu Liu (1)
  Shangshang Sun (1)
  
  1. School of Resources and Geoscience, China University of Mining and Technology, Xuzhou, 221116, China
  2. School of Civil Engineering and Mechanics, Lanzhou University, Lanzhou, 730000, China
  3. College of Earth Science, LGuilin University of Technology, Guilin, 541004, China
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：None Assigned
• 出版者：Springer Berlin Heidelberg
• ISSN：1866-6299

文摘

The purpose of the present study was to produce a landslide susceptibility map using analytic hierarchy process (AHP) model based on GIS for Gangu County, China. For this purpose, a detailed landslide inventory map was prepared and eight landside conditioning factors were considered, these factors were: slope angle, plan curvature, altitude, distance from faults, distance from rivers, distance from roads, rainfall, and lithology. The landslide inventory map was prepared by literatures, aerial photographs and field surveys, and a total of 328 landslides were identified in the study area. All landslides were applied for establishing the model and validating the model. The ArcGIS package was used to evaluate landslide susceptibility and analyze landslide conditioning factors, as a result, a landslide susceptibility map was generated using analytic hierarchy process model based on ArcGIS 10.0 and divided into five susceptibility classes: very low, low, moderate, high, and very high. Finally, In order to validate the accuracy of the landslide susceptibility map produced from AHP model, both physical and statistical methods were applied. The success rate curve results showed that the susceptibility map using AHP model has a success rate of 73.74 %. Therefore, the landslide susceptibility map will be helpful for landside hazard assessment and land use planning in the study area.