Improved Process Management of Glacial Lake Outburst Flood Hazards by Integrating Modular Monitoring, Assessment, and Simulation

Xiang Wang, Guo Chen (), Xiaoai Dai (), Jingjing Zhao, Xian Liu, Yu Gao, Junmin Zhang, Yongjun Chen, Xiaozhen Li, Wenyi Qin and Peng Wang
Additional contact information
Xiang Wang: Chengdu University of Technology
Guo Chen: Chengdu University of Technology
Xiaoai Dai: Chengdu University of Technology
Jingjing Zhao: Chengdu University of Technology
Xian Liu: Chengdu University of Technology
Yu Gao: Chengdu University of Technology
Junmin Zhang: Chengdu University of Technology
Yongjun Chen: Central South University
Xiaozhen Li: Chengdu University of Technology
Wenyi Qin: Chengdu University of Technology
Peng Wang: Chengdu University of Technology

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2022, vol. 36, issue 7, No 13, 2343-2358

Abstract: Abstract Southwestern Tibet is one of the areas seriously affected by glacial lake outburst floods (GLOFs). In this study, a systematic GLOF hazard management process chain for moraine-dammed lakes was constructed by integrating remote sensing (RS), geomorphology investigations, geographic information systems (GIS), statistical methods, and hydrological models. The evolution of two moraine-dammed lakes and their mother glaciers across the region from 1976 to 2018 were investigated and the susceptibility of 74 moraine-dammed lakes outburst was evaluated. The actual and potential GLOF risks of former Cirenmaco Lake GLOF was modeled based on a single hydrological model. The monitoring results showed that two moraine-dammed lakes in southwestern Tibet, including Yanongco and Rongxiazangbu, were continuing to expand and were at risk of GLOF. The parameters used for assessing GLOF risk were filtered through a grey correlation model with a modeling accuracy of 84%. The FLO-2D hydrological model was adopted to simulate GLOF hazards of a moraine-dammed lake in Southwest Tibet for the first time. Results showed that the modeled errors of fluid depth and velocity were within 10%. The combined method proposed in this study could be potentially used to assess the status of the regional GLOF in Tibet and provides effective suggestions for local governments to prevent disasters and reduce damages of GLOF.

Keywords: GLOF; Geomorphology surveys; Grey correlation model; FLO-2D modelling; Hazard assessment; Disaster simulation (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s11269-022-03146-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:waterr:v:36:y:2022:i:7:d:10.1007_s11269-022-03146-9

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11269

DOI: 10.1007/s11269-022-03146-9

Access Statistics for this article

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) is currently edited by G. Tsakiris

More articles in Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) from Springer, European Water Resources Association (EWRA)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().