High-resolution assessment of retrogressive thaw slump susceptibility in the Qinghai-Tibet Engineering Corridor

作     者：GuoAn Yin Jing Luo FuJun Niu MingHao Liu ZeYong Gao TianChun Dong WeiHeng Ni GuoAn Yin;Jing Luo;FuJun Niu;MingHao Liu;ZeYong Gao;TianChun Dong;WeiHeng Ni

作者机构：Soil EngineeringNorthwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhouGansu 730000China China Railway Qinghai-Tibet Group Co.LtdXiningQinghai 810000China School of Engineering and ScienceUniversity of Chinese Academy of SciencesBeijing 100049China 

出 版 物：《Research in Cold and Arid Regions》 (寒旱区科学（英文版）)

年 卷 期：2023年第15卷第6期

页      面：288-294页

核心收录：

学科分类：07[理学] 081401[工学-岩土工程] 08[工学] 0705[理学-地理学] 070501[理学-自然地理学] 0814[工学-土木工程] 

基　　金：funded by the National Natural Science Foundation of China(42372334) the Science and Technology Research and Development Program of the Qinghai-Tibet Group Corporation(Grant No.QZ2022-G05) 

主　　题：Retrogressive thaw slumps Thermokarst Permafrost degradation Machine learning 

摘      要：Under the rapidly warming climate in the Arctic and high mountain areas,permafrost is thawing,leading to various hazards at a global *** common permafrost hazard termed retrogressive thaw slump(RTS)occurs extensively in ice-rich permafrost *** the spatial and temporal distributive features of RTSs in a changing climate is crucial to assessing the damage to infrastructure and *** this end,we used a machine learning-based model to investigate the environmental factors that could lead to RTS occurrence and create a susceptibility map for RTS along the Qinghai-Tibet Engineering Corridor(QTEC)at a local *** results indicate that extreme summer climate events(e.g.,maximum air temperature and rainfall)contributes the most to the RTS occurrence over the flat areas with fine-grained *** model predicts that 13%(ca.22,948 km^(2))of the QTEC falls into high to very high susceptibility categories under the current climate over the permafrost areas with mean annual ground temperature at 10 m depth ranging from-3 to-1℃.This study provides insights into the impacts of permafrost thaw on the stability of landscape,carbon stock,and infrastructure,and the results are of value for engineering planning and maintenance.