A methodological framework of landslide quantitative risk assessment in areas with incomplete historical landslide information

作     者：LI Xia CHENG Jiu-Long YU De-Hao LI Xia;CHENG Jiu-Long;YU De-Hao

作者机构：College of Geoscience and Surveying EngineeringChina University of Mining and Technology(Beijing)Beijing 100083China Research Institute of Engineering DesignBeijing 100083China 

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

年 卷 期：2023年第20卷第9期

页      面：2665-2679页

核心收录：

学科分类：0830[工学-环境科学与工程（可授工学、理学、农学学位）] 081803[工学-地质工程] 08[工学] 0818[工学-地质资源与地质工程] 

基　　金：Hebei Institute of Hydrogeology and Engineering Geology Heilongjiang Institute of Geological Survey Remote Sensing Survey of Basic Geology in Northeast of China” of Aero Geophysical Survey and Remote Sensing Center for China Natural Resources Jilin University, JLU China University of Geosciences, Wuhan, CUG 

主　　题：Landslide Quantitative risk assessment Convolutional neural network Hazard assessment Vulnerability 

摘      要：Landslide risk assessment(LRA)is of great significance to hazard prevention and ***,the historical landslide information is incomplete in most areas,which makes the landslide quantitative risk assessment(LQRA)extremely *** research proposed a set of frameworks for LQRA,so as to achieve LQRA in areas with incomplete historical landslide ***,we constructed the convolutional neural network(CNN)model suitable for landslide susceptibility assessment(LSA)by studying the structure and hyperparameters optimization of ***,we proposed a method to calculate the temporal probability by using the Poisson model based on the time range of historical landslides occurrence,and then conducted landslide hazard assessment(LHA).Then,we established a mathematical model for landslide intensity of shallow landslide based on landslide area and slope,aiming at solving the problem that it is difficult to calculate landslide intensity due to the lack of landslide volume and *** on the landslide intensity and the hazard-resistant capacity of the element at risk,we assessed the landslide ***,population risk map and economic risk map are obtained based on the landslide hazard,vulnerability,and estimated value of the elements at *** proposed LQRA framework was applied to Tumen City,China for testing and field *** the results,the CNN model built can help improve the accuracy of *** proposed temporal probability calculation method is conducive to the completion of LHA in areas with incomplete historical landslide *** established landslide intensity mathematical model has certain *** the landslide risk map is obtained through appropriate simplification and substitution estimation,its final value cannot be used as an accurate prediction of future losses,but it can be used as a reference for the extent of potential losses,so as to determine the areas where hazard prevention and