Susceptibility Assessment of Landslides Caused by the Wenchuan Earthquake Using a Logistic Regression Model

作     者：SU Fenghuan SU Fenghuan 12,CUI Peng12*,ZHANG Jianqiang 123,XIANG Lingzhi 123 1 Key Laboratory of Mountain Hazards and Land Surface Processes,Chinese Academy of Sciences,Chengdu China 2 Institute of Mountain Hazards and Environment,Chinese Academy of Sciences,Chengdu China 3 Graduate University of the Chinese Academy of Sciences,Beijing China

作者机构：Key Laboratory of Mountain Hazards and Land Surface Processes Chinese Academy of Sciences Chengdu China Institute of Mountain Hazards and Environment Chinese Academy of Sciences Chengdu China Graduate University of the Chinese Academy of Sciences Beijing China 

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

年 卷 期：2010年第7卷第3期

页      面：234-245页

核心收录：

学科分类：02[经济学] 0709[理学-地质学] 0819[工学-矿业工程] 07[理学] 070103[理学-概率论与数理统计] 0303[法学-社会学] 0202[经济学-应用经济学] 020208[经济学-统计学] 070801[理学-固体地球物理学] 0708[理学-地球物理学] 0818[工学-地质资源与地质工程] 0705[理学-地理学] 0815[工学-水利工程] 0706[理学-大气科学] 0816[工学-测绘科学与技术] 0813[工学-建筑学] 0714[理学-统计学（可授理学、经济学学位）] 0704[理学-天文学] 0833[工学-城乡规划学] 0701[理学-数学] 0713[理学-生态学] 0834[工学-风景园林学（可授工学、农学学位）] 

基　　金：supported by State Key Fundamental Research Program (973) project (2008CB425802) the National natural Science Foundation of China (Grant No. 40801009) 

主　　题：Landslide susceptibility WenchuanEarthquake GIS logistic regression certainty factor 

摘      要：The Wenchuan earthquake on May 12,2008 caused numerous collapses,landslides,barrier lakes,and debris *** susceptibility mapping is important for evaluation of environmental capacity and also as a guide for post-earthquake *** this paper,a logistic regression model was developed within the framework of GIS to map landslide *** County,a heavily affected area,was selected for the *** of landslides was prepared by interpretation of multi-temporal and multi-resolution remote sensing images(ADS40 aerial imagery,SPOT5 imagery and TM imagery,etc.) and field *** Certainly Factor method was used to find the influencial factors,indicating that lithologic groups,distance from major faults,slope angle,profile curvature,and altitude are the dominant factors influencing *** weight of each factor was determined using a binomial logistic regression *** susceptibility mapping was based on spatial overlay analysis and divided into five *** faults have the most significant impact,and landslides will occur most likely in areas near the *** of the area has a high or very high susceptibility,located in the northeast,south and southwest,including 65.3% of all landslides coincident with the *** susceptibility map can reveal the likelihood of future failures,and it will be useful for planners during the rebuilding process and for future zoning issues.