A review of progress in the study of retrogressive thaw slumps on the Qinghai-Xizang Plateau
Against the backdrop of global climate warming and the warming effects induced by human activi-ties,the permafrost on the Qinghai-Xizang Plateau is experiencing accelerated degradation,leading to frequent occurrences of retrogressive thaw slumps. This phenomenon not only directly impacts the regional ecological en-vironment,but also poses a potential threat to the stability of engineering structures. This paper aims to provide a scientific basis for the prevention and prediction of thawing hazards and the assessment of climate change by re-viewing the research progress on retrogressive thaw slumps in the permafrost regions of the Qinghai-Xizang Pla-teau by summarizing the formation mechanism,extraction methods,distribution characteristics,influencing mechanism,as well as the subsequent impacts of retrogressive thaw slumps on environment and engineering. It is concluded that the formation of retrogressive thaw slumps is the result of the interaction of various complex factors and long-term accumulation,often resulting in headward erosion,with diverse development shapes main-ly controlled by slope gradients. They present various developmental shapes,mainly including elongated,branched,and multi-headed tongue shapes. Spatially,retrogressive thaw slumps show inhomogeneous distribu-tion,which cluster in engineering corridors on the Qinghai-Xizang Plateau. Their spatial distribution is mainly controlled by terrain and permafrost conditions. Furthermore,retrogressive thaw slumps can alter soil structure and physicochemical processes,affecting regional carbon cycling,thereby increasing global or regional green-house gas emissions. Based on high spatial resolution remote sensing images interpretation and unmanned aerial vehicle (UAV) field verification,retrogressive thaw slumps was widespreadly monitored. Currently,research often combines Planet Cube Sat imagery with deep learning algorithms to achieve automatic identification and mapping of retrogressive thaw slumps in large-scale permafrost regions. Deep learning models such as Deep Lab V3+show a better performance in future extensive studies of retrogressive thaw slumps. With the increasing de-mand for engineering construction and ecological environment protection on the Qinghai-Xizang Plateau,it is necessary to investigate the formation mechanisms,developmental characteristics,influencing mechanisms,and impacts on the environment and engineering of retrogressive thaw slumps,which will provide a theoretical foun-dation and scientific basis for engineering planning,prevention of retrogressive thaw slumps,and environmental protection on the Qinghai-Xizang Plateau.
Qinghai-Xizang Plateauretrogressive thaw slumpsdevelopmental characteristicsdriving mechanismsimpacts on environment and engineering
万方数据
维普
