GIS-based spatial prediction of landslide using road factors and random forest for Sichuan-Tibet Highway

作     者：YE Cheng-ming WEI Rui-long GE Yong-gang LI Yao Jose Marcato JUNIOR Jonathan LI YE Cheng-ming;WEI Rui-long;GE Yong-gang;LI Yao;José Marcato JUNIOR;Jonathan LI

作者机构：Key Laboratory of Earth Exploration and Information Technology of Ministry of EducationChengdu University of TechnologyChengdu 610059China Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610041China Faculty of EngineeringArchitecture and Urbanism and GeographyFederal University of Mato Grosso do SulCampo Grande 79070-900Brazil Department of Geography and Environmental ManagementUniversity of WaterlooWaterlooONN2L 3G1Canada 

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

年 卷 期：2022年第19卷第2期

页      面：461-476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] 0814[工学-土木工程] 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）] 082301[工学-道路与铁道工程] 0823[工学-交通运输工程] 

基　　金：supported in part by the Second Tibetan Plateau Scientific Expedition and Research Program(STEP)under Grant 2019QZKK0902 the Strategic Priority Research Program of the Chinese Academy of Sciences under Grant XDA23090203 the National Natural Science Foundation of China under Grant 42071411 

主　　题：Landslide susceptibility Spatial modeling Random forest Sichuan-Tibet Highway 

摘      要：Accurate evaluation of landslide susceptibility is very important to ensure the safe operation of mountain *** Sichuan-Tibet Highway,which traverses the east of the Tibetan Plateau,frequently encounters natural *** studies generally use statistical methods to analyze the hazards along the Sichuan-Tibet *** this research,we present two road factors,namely aspect to road and road profile to increase the accuracy of landslide susceptibility mapping by considering the influence of landslide movement direction on ***,the aspect to road,which represents the impact of different landslide movement directions on the highway,was extracted by combining road direction with mountain ***,the road profile,which reflects the subgrade structure between the road and surrounding mountains,was extracted according to the terrain ***,the landslide susceptibility maps were produced based on the random forest(RF)method by using 473 landslides and 10 conditioning factors,including road factors(aspect to road,road profile)and primitive factors(slope,aspect,curvature,relief amplitude,peak ground acceleration,crustal movement velocity,faults,rainfall).The area under the receiver operating characteristic curve(AUC)and the Gini importance were used to evaluate the performance of proposed road *** AUC values on two groups that add road factors and only use primitive factors were 0.8517 and 0.8243,*** Gini importance indicated that road profile(0.123)and aspect to road(0.116)have a significant contribution to landslides compared with the primitive *** results of multi-collinearity analysis and frequency ratio confirmed the suitability of the road factors for predicting hazards along the highway.