Comparative study of different machine learning models in landslide susceptibility assessment:A case study of Conghua District,Guangzhou,ChinaOACSTPCD

作者：Ao Zhang;Jun He;Yi-yong Li;Xin-wen Zhao;Xing-yuezi Zhao;Xiao-zhan Zheng;Min Zeng;Xuan Huang;Pan Wu;Tuo Jiang;Shi-chang Wang

作者单位：Wuhan Center,China Geological Survey,Ministry of Natural Resources(Geosciences Innovation Center of Central South China),Wuhan 430205,ChinaWuhan Center,China Geological Survey,Ministry of Natural Resources(Geosciences Innovation Center of Central South China),Wuhan 430205,ChinaWuhan Center,China Geological Survey,Ministry of Natural Resources(Geosciences Innovation Center of Central South China),Wuhan 430205,ChinaWuhan Center,China Geological Survey,Ministry of Natural Resources(Geosciences Innovation Center of Central South China),Wuhan 430205,ChinaWuhan Center,China Geological Survey,Ministry of Natural Resources(Geosciences Innovation Center of Central South China),Wuhan 430205,ChinaGuangzhou Institute of Geological Survey,Guangzhou 510080,ChinaWuhan Center,China Geological Survey,Ministry of Natural Resources(Geosciences Innovation Center of Central South China),Wuhan 430205,ChinaHubei Transportation Planning Design Institute Co.,Ltd,Wuhan 430050,ChinaWuhan Center,China Geological Survey,Ministry of Natural Resources(Geosciences Innovation Center of Central South China),Wuhan 430205,ChinaWuhan Center,China Geological Survey,Ministry of Natural Resources(Geosciences Innovation Center of Central South China),Wuhan 430205,ChinaWuhan Center,China Geological Survey,Ministry of Natural Resources(Geosciences Innovation Center of Central South China),Wuhan 430205,China

中文关键词：Landslides susceptibility assessmentMachine learningLogistic RegressionRandom ForestSupport Vector MachinesXGBoostAssessment modelGeological disaster investigation and prevention engineering

英文关键词：Landslides susceptibility assessmentMachine learningLogistic RegressionRandom ForestSupport Vector MachinesXGBoostAssessment modelGeological disaster investigation and prevention engineering

刊名：《中国地质（英文）》 2024 (1)

页码/页数：104-115,12

基金：This research was supported by the projects of the China Geological Survey(DD20221729,DD20190291)and Zhuhai Urban Geological Survey(including informatization)(MZCD-2201-008).The authors are indebted to Guangzhou Municipal Bureau of Planning and Resources,Guangzhou Institute of Geological Survey,Guangzhou Urban Planning Survey and Design Institute for their assistance.The authors are also thankful to the reviewers and editors for their valuable comments and suggestions.

DOI：10.31035/cg2023056