{"title":"Risk of glacier collapse in the Southeast Tibetan basin","authors":"Minghu Ding, Kaicheng Ji, Baojuan Huai, Weijun Sun, Biao Tian, Cunde Xiao","doi":"10.1038/s41612-025-00981-6","DOIUrl":null,"url":null,"abstract":"<p>Glacier collapse is one of the serious cryospheric hazards in the Tibetan Plateau (TP), especially in the southeast of TP. Recent studies on glacier change and glacier collapse events in this region show that the risk of glacier collapse disaster in Southeast Tibet is vague and not specific. Here, we assess the risk of glacier collapse by combining machine learning method, dangerous glacier identification and vulnerability analysis in the basin. This study considers that the glacier collapse events in this area in recent years are mainly driven by temperature, precipitation and seismic activity under the background of steep terrain. A total of 946 km<sup>2</sup> of glaciers in southeastern Tibet are potentially at hazard of collapse, with the largest area of about 320 km<sup>2</sup> in the southeastern region; The proportion of the southern region is the highest, about 55.6%. Eight basins are at extremely high risk, including 85 residential areas, 131 roads and 52 rivers. This study directly responds to the needs of the disaster prevention and mitigation strategy to determine the key areas, and emphasizes the necessity of coping with the threat of glacier collapse in the extremely high-risk basins in Southeast Tibet.</p>","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":"59 1","pages":""},"PeriodicalIF":8.5000,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"npj Climate and Atmospheric Science","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1038/s41612-025-00981-6","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Glacier collapse is one of the serious cryospheric hazards in the Tibetan Plateau (TP), especially in the southeast of TP. Recent studies on glacier change and glacier collapse events in this region show that the risk of glacier collapse disaster in Southeast Tibet is vague and not specific. Here, we assess the risk of glacier collapse by combining machine learning method, dangerous glacier identification and vulnerability analysis in the basin. This study considers that the glacier collapse events in this area in recent years are mainly driven by temperature, precipitation and seismic activity under the background of steep terrain. A total of 946 km2 of glaciers in southeastern Tibet are potentially at hazard of collapse, with the largest area of about 320 km2 in the southeastern region; The proportion of the southern region is the highest, about 55.6%. Eight basins are at extremely high risk, including 85 residential areas, 131 roads and 52 rivers. This study directly responds to the needs of the disaster prevention and mitigation strategy to determine the key areas, and emphasizes the necessity of coping with the threat of glacier collapse in the extremely high-risk basins in Southeast Tibet.
期刊介绍:
npj Climate and Atmospheric Science is an open-access journal encompassing the relevant physical, chemical, and biological aspects of atmospheric and climate science. The journal places particular emphasis on regional studies that unveil new insights into specific localities, including examinations of local atmospheric composition, such as aerosols.
The range of topics covered by the journal includes climate dynamics, climate variability, weather and climate prediction, climate change, ocean dynamics, weather extremes, air pollution, atmospheric chemistry (including aerosols), the hydrological cycle, and atmosphere–ocean and atmosphere–land interactions. The journal welcomes studies employing a diverse array of methods, including numerical and statistical modeling, the development and application of in situ observational techniques, remote sensing, and the development or evaluation of new reanalyses.