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Application ot analytical hierarchy process and least-squares method for landslide susceptibility assessment along the Zhong-Wu natural gas pipeline,China

作     者:Fengshan Ma Jie Wang Renmao Yuan Haijun Zhao Jie Guo 

作者单位:Key Laboratory of Engineering GeomechanicsInstitute of Geology and GeophysicsChinese Academy of Sciences Graduate University of Chinese Academy of Sciences Key Laboratory of Active Tectonics and VolcanoChina Earthquake Administration Institute of GeologyChina Earthquake Administration 

会议名称:《中国科学院地质与地球物理研究所2013年度(第13届)学术年会》

会议日期:2014年

学科分类:0820[工学-石油与天然气工程] 08[工学] 082002[工学-油气田开发工程] 

基  金:supported by the State Key National Program of Natural Science of China(Grant No.41030750) the Knowledge Innovation Projects of the Chinese Academy of Science(Grant No. KZCXZ-YW-Q03-02) the National Key Technology R&D Program(Grant No.2008BAK50B04) 

关 键 词:Landslide susceptibility assessment Pipeline AHP Least-squares method Engineering geological analogy 

摘      要:As one of the major problems of geo-engineering,landslides often influence the safety of linear engineering projects that cross mountainous ***,when selecting suitable routes for such projects,it is important to assess their susceptibility to *** this paper,we used a natural gas pipeline in the northeast of the Yunnan-Guizhou Plateau of China as a case study to analyze landslide *** on engineering geological analogy,the analytical hierarchy process,and the least-squares method, a regional landslide susceptibility assessment model was developed and was programmed using GIS ArcEngine components under the Visual *** *** landslide susceptibility along the Zhong-Wu natural gas pipeline from Zhongxian County to Wuhan was assessed based on this model and classified into five levels:very safe,safe,moderate,susceptible,and very susceptible. The high accuracy and prediction capability of the model were confirmed by comparing the model results with past landslide data and performing a prediction *** results indicated that the assessment model used in this study is reliable and can be used for landslide susceptibility assessment and route selection in other areas.

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