Landslide Susceptibility Mapping and Evaluation along a River Valley in China

• Published in: Acta geologica Sinica (Beijing) Vol. 86; no. 4; pp. 1022 - 1030
• Main Authors: Yanrong, LI, AYDIN, Adnan, Xiqiong, XIANG, Nengpan, JU, Jianjun, ZHAO, OZBEK, Ahmet
• Format: Journal Article
• Language: English
• Published: Oxford, UK Blackwell Publishing Ltd 01.08.2012; Wiley Subscription Services, Inc; The University of Hong Kong, Hong Kong, China; The University of Mississippi, Oxford, USA%The University of Mississippi, Oxford, USA%Key Laboratory of Karst Environment and Geohazard Prevention(Guizhou University), Guiyang 550000, China%State Key Laboratory of Geohazard Prevention and Geoenvironment Protection(Chengdu University of Technology), Chengdu 610059, China%The University of Kahramanmaras Sutcu Imam, K.Maras, Turkey
• Edition: English ed.
• Subjects: Analytic hierarchy process; Analytic Hierarchy Process (AHP); China; Earthquakes; Freshwater; Fuzzy Set; Fuzzy set theory; Fuzzy sets; Geographic Information System; Geology; Land use; landslide susceptibility; Landslides; Landslides & mudslides; Lithology; Regional; Rivers; Seismic activity; Valleys; 中国; 地理信息系统; 地震活动强度; 敏感性分区; 敏感性评价; 易发性评价; 流域; 滑坡; China, People's Rep; Fuzzy Set; landslide susceptibility; Analytic Hierarchy Process (AHP); Geographic Information System
• ISSN: 1000-9515; 1755-6724
• DOI: 10.1111/j.1755-6724.2012.00726.x

Landslide susceptibility evaluation at regional scale is commonly performed based dominantly on the analysis of geological and geomorphological conditions of historical landslide cases. The main content of this type of evaluation covers identifying key casual factors, their critical groupings and relative importance. The present study demonstrates an application of the above concept to a 90 km long segment of Jinsbajiang River valley in China. Correlations of landslide occurrence with potential causative factors are derived according to interpretation of field investigation. Lithology, orientation of bedding planes, slope angle, stream action, rainfall and earthquake intensity are selectively recognized as identifiable/measurable causative factors to establish a factor domain. The membership grades, for field values of quantitative factors, to the susceptibility classes are determined based on the construction of fuzzy sets, while those for descriptive factors are assigned from a fuzzy score table. The analytic hierarchy process （AHP） is adopted for assigning weights to each individual factor. Subsequently, the evaluation is implemented in a GIS program IDRISI, where four classes of landslide susceptibility are identified and delineated in the subject area. The approach described in the present paper showed consistence with the nature and availability of data for evaluating landslide susceptibility at regional scale. The methodology presented can be effectively employed by relevant authorities to identify risky areas for dislocating major infrastructural project, and develop management strategies for land use.