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DOI | 10.1016/j.scitotenv.2021.150442 |
An integrative method for identifying potentially dangerous glacial lakes in the Himalayas | |
Zhang, Taigang; Wang, Weicai; Gao, Tanguang; An, Baosheng; Yao, Tandong | |
通讯作者 | Wang, WC ; An, BS (通讯作者) |
发表日期 | 2022 |
ISSN | 0048-9697 |
EISSN | 1879-1026 |
卷号 | 806 |
英文摘要 | Glacial lakes in the Himalayas are widely distributed. Since 1900, more than 100 glacial lake outburst floods (GLOFs) have originated in the region, causing approximately 7000 deaths and considerable economic losses. Identifying potentially dangerous glacial lakes (PDGLs) is considered the first step in assessing GLOF risks. In this study, a more thorough inventory of PDGLs was presented that included numerous small-sized glacial lakes (<0.1 km(2)) that were generally neglected in the Himalayas for decades. Moreover, the PDGL evaluation system was improved in response to several deficiencies, such as the selection of assessment factors, which are sometimes arbitrary without a solid scientific basis. We designed an optimality experiment to select the best combination of assessment factors from 57 factors to identify PDGLs. Based on the experiments on both drained and non-drained glacial lakes in the Sunkoshi Basin, eastern Himalayas, five assessment factors were determined to be the best combination: the mean slope of the parent glacier, the potential for mass movement into the lake, the mean slope of moraine dams, the watershed area, and the lake perimeter, corresponding to the GLOF triggers for ice avalanches, rockfalls and landslides, dam instability, heavy precipitation or other liquid inflows, and lake characteristics, respectively. We then applied the best combination of assessment factors to the 1650 glacial lakes with an area greater than 0.02 km(2) in the Himalayas. We identified 207 glacial lakes as very high-hazard and 345 as high-hazard. It is noteworthy that in various GLOF susceptibility evaluation scenarios with different assessment factors, weighting schemes, and classification approaches, similar results for glacial lakes with high outburst potential have been obtained. The results provided here can be used as benchmark data to assess the GLOF risks for local communities. (C) 2021 The Authors. Published by Elsevier B.V. |
关键词 | MORAINE-DAMMED LAKESOUTBURST FLOOD RISKREGIONAL-SCALE ANALYSISHIGH-MOUNTAIN ASIAPOIQU RIVER-BASINCORDILLERA BLANCACATASTROPHIC DRAINAGEHAZARD ASSESSMENTINVENTORYSUSCEPTIBILITY |
英文关键词 | Glacial lake outburst flood (GLOF); Hazard; GLOF susceptibility; Weighting scheme; Himalayas |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology |
WOS类目 | Environmental Sciences |
WOS记录号 | WOS:000701843800008 |
来源期刊 | SCIENCE OF THE TOTAL ENVIRONMENT |
来源机构 | 中国科学院青藏高原研究所 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/260611 |
推荐引用方式 GB/T 7714 | Zhang, Taigang,Wang, Weicai,Gao, Tanguang,et al. An integrative method for identifying potentially dangerous glacial lakes in the Himalayas[J]. 中国科学院青藏高原研究所,2022,806. |
APA | Zhang, Taigang,Wang, Weicai,Gao, Tanguang,An, Baosheng,&Yao, Tandong.(2022).An integrative method for identifying potentially dangerous glacial lakes in the Himalayas.SCIENCE OF THE TOTAL ENVIRONMENT,806. |
MLA | Zhang, Taigang,et al."An integrative method for identifying potentially dangerous glacial lakes in the Himalayas".SCIENCE OF THE TOTAL ENVIRONMENT 806(2022). |
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