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Journal of Mountain Science

, Volume 12, Issue 4, pp 816–827 | Cite as

Landslide susceptibility assessment of the Youfang catchment using logistic regression

  • Shi-biao Bai
  • Ping LuEmail author
  • Jian Wang
Article

Abstract

A detailed landslide susceptibility map was produced in the Youfang catchment using logistic regression method with datasets developed for a geographic information system (GIS). Known as one of the most landslide-prone areas in China, the Youfang catchment of Longnan mountain region, which lies in the transitional area among Qinghai-Tibet Plateau, loess Plateau and Sichuan Basin, was selected as a representative case to evaluate the frequency and distribution of landslides. Statistical relationships for landslide susceptibility assessment were developed using landslide and landslide causative factor databases. Logistic regression (LR) was used to create the landslide susceptibility maps based on a series of available data sources: landslide inventory; distance to drainage systems, faults and roads; slope angle and aspect; topographic elevation and topographical wetness index, and land use. The quality of the landslide susceptibility map produced in this paper was validated and the result can be used for designing protective and mitigation measures against landslide hazards. The landslide susceptibility map is expected to provide a fundamental tool for landslide hazards assessment and risk management in the Youfang catchment.

Keywords

Landslide Susceptibility map Logistic regression Geographic Information System (GIS) Youfang catchment 

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Copyright information

© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.College of Geographical Sciences, Key Laboratory of Virtual Geographic Environments (National Education Administration)Nanjing Normal UniversityNanjingChina
  2. 2.Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and ApplicationNanjing Normal UniversityNanjingChina
  3. 3.Jiangsu Key Laboratory of Environmental Change and Ecological ConstructionNanjing Normal UniversityNanjingChina
  4. 4.College of Surveying and Geo-Informatics, Center for Spatial Information Science and Sustainable Development ApplicationsTongji UniversityShanghaiChina

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