An inventory of historical glacial lake outburst floods in the Himalayas based on remote sensing observations and geomorphological analysis
Nie, Yong1; Liu, Qiao1; Wang, Jida2; Zhang, Yili3; Sheng, Yongwei4; Liu, Shiyin5
刊名GEOMORPHOLOGY
2018-05-01
卷号308页码:91-106
关键词Glacial lake outburst flood Remote sensing Climate change The Himalayas
ISSN号0169-555X
DOI10.1016/j.geomorph.2018.02.002
通讯作者Nie, Yong(nieyong@imde.ac.cn)
英文摘要Glacial lake outburst floods (GLOFs) are a unique type of natural hazard in the cryosphere that may result in catastrophic fatalities and damages. The Himalayas are known as one of the world's most GLOF-vulnerable zones. Effective hazard assessments and risk management require a thorough inventory of historical GLOF events across the Himalayas, which is hitherto absent. Existing studies imply that numerous historical GLOF events are contentious because of discrepant geographic coordinates, names, or outburst time, requiring further verifications. This study reviews and verifies over 60 historical GLOF events across the Himalayas using a comprehensive method that combines literature documentations, archival remote sensing observations, geomorphological analysis, and field investigations. As a result, three unreported GLOF events were discovered from remote sensing images and geomorphological analysis. Eleven suspicious events were identified and suggested to be excluded. The properties of five outburst lakes, i.e., Degaco, Chongbaxia Tsho, Geiqu, Lemthang Tsho, and a lake on Tshojo Glacier, were corrected or updated. A total of 51 GLOF events were verified to be convincing, and these outburst lakes were classified into three categories according to their statuses in the past decades, namely disappeared (12), stable (30), and expanding (9). Statistics of the verified GLOF events show that GLOF tended to occur between April and October in the Himalayas. We suggest that more attention should be paid to rapidly expanding glacial lakes with high possibility of repetitive outbursts. This study also demonstrates the effectiveness of integrating remote sensing and geomorphic interpretations in identifying and verifying GLOF events in remote alpine environments. This inventory of GLOFs with a range of critical attributes (e.g., locations, time, and mechanisms) will benefit the continuous monitoring and prediction of potentially dangerous glacial lakes and contribute to outburst-induced risk assessments and hazard mitigations. (C) 2017 Elsevier B.V. All rights reserved.
资助项目National Natural Science Foundation of China[41571104] ; National Natural Science Foundation of China[41371094] ; CAS STS Program[KFJ-STS-ZDTP-015] ; CAS 135 Program[SDS-135-1708]
WOS关键词NEPAL HIMALAYA ; MOUNTAIN ENVIRONMENTS ; SUPRAGLACIAL LAKES ; RAPID EXPANSION ; HAZARD ; REGION ; VOLUME ; TIBET
WOS研究方向Physical Geography ; Geology
语种英语
出版者ELSEVIER SCIENCE BV
WOS记录号WOS:000430768500008
资助机构National Natural Science Foundation of China ; CAS STS Program ; CAS 135 Program
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/54974]  
专题中国科学院地理科学与资源研究所
通讯作者Nie, Yong
作者单位1.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China
2.Kansas State Univ, Dept Geog, Manhattan, KS 66506 USA
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
4.Univ Calif Los Angeles, Dept Geog, Los Angeles, CA 90095 USA
5.Yunnan Univ, Inst Int Rivers & Ecosecur, Kunming 650500, Yunnan, Peoples R China
推荐引用方式
GB/T 7714
Nie, Yong,Liu, Qiao,Wang, Jida,et al. An inventory of historical glacial lake outburst floods in the Himalayas based on remote sensing observations and geomorphological analysis[J]. GEOMORPHOLOGY,2018,308:91-106.
APA Nie, Yong,Liu, Qiao,Wang, Jida,Zhang, Yili,Sheng, Yongwei,&Liu, Shiyin.(2018).An inventory of historical glacial lake outburst floods in the Himalayas based on remote sensing observations and geomorphological analysis.GEOMORPHOLOGY,308,91-106.
MLA Nie, Yong,et al."An inventory of historical glacial lake outburst floods in the Himalayas based on remote sensing observations and geomorphological analysis".GEOMORPHOLOGY 308(2018):91-106.
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