An easy approach to assess the susceptibility of a landslide by utilizing simple raster overlay methods: A case study on Huangtupo landslide(P.R. China)

作     者：Christian DUMPERTH Joachim ROHN Alexander FLEER WANG Jin-ge XIANG Wei Karsten ZIMMERMANN 

作者机构：University of Erlangen-Nuremberg Department of Geology and Mineralogy Chair of Applied Geology Exploration and Geosurvey DMT Gmb H & Co. KG Department of Geosciences Chair of Soil Science and Geomorphology University of Tübingen Department of Geotechnical Engineering and Engineering Geology China University of GeosciencesWuhan 

出 版 物：《Journal of Mountain Science》 (山地科学学报（英文）)

年 卷 期：2016年第13卷第10期

页      面：1701-1710页

核心收录：

学科分类：0709[理学-地质学] 0819[工学-矿业工程] 081803[工学-地质工程] 08[工学] 0303[法学-社会学] 0818[工学-地质资源与地质工程] 0708[理学-地球物理学] 0705[理学-地理学] 0815[工学-水利工程] 0816[工学-测绘科学与技术] 0706[理学-大气科学] 0813[工学-建筑学] 0704[理学-天文学] 0833[工学-城乡规划学] 0713[理学-生态学] 0834[工学-风景园林学（可授工学、农学学位）] 

基　　金：a part of the interdisciplinary "YANGTZE-Project" which is supported by the German Federal Ministry of Education and Research (BMBF) the BMBF for the great financial support 

主　　题：Landslide susceptibility Geographical Information System(GIS) Raster overlay Huangtupo Radar interferometry 

摘      要：Semi qualitative index based methods using rankings and ratings are commonly used in susceptibility estimations over a wide area. However, generalized ranking and ratings are not applicable for one single landslide. This paper gives an easy and transferable approach to a susceptibility assessment of Huangtupo landslide(P.R. China), using raster addition without taking account for ranking and ratings. Slope, aspect, curvature, location and drainage buffer distance raster data sets have been obtained out of open source digital elevation models using ESRI s Arc GIS. These conditioning factor raster data sets have been translated into raster data sets including simple yes or no criteria, referring to triggering or not. Subsequently they have been added by raster math to acquire a simple raster overlay *** that this map is compared to initial displacement measurements, obtained by using a ground based synthetic aperture radar device. Acquired data is recalculated to a raster data set using the same spatial extent, to provide the possibility of comparison of the two raster data sets. The results reveal, that 76.35% of all measured movements occur in areas where raster cells include three or more conditioning factors, indicating that easy raster math operations can lead to satisfying results in local scale.