Articles | Volume 29, issue 4
https://doi.org/10.5194/hess-29-969-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/hess-29-969-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Feb 2025
Research article |
| 24 Feb 2025
| 24 Feb 2025
A mathematical model to improve water storage of glacial lake prediction towards addressing glacial lake outburst floods
Miaomiao Qi
Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Yunnan University, Kunming 650091, China
Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650091, China
Yunnan International Joint Laboratory of China–Laos–Bangladesh–Myanmar Natural Resources Remote Sensing Monitoring, Kunming 650091, China
School of Earth Sciences, Yunnan University, Kunming 650500, China
Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Yunnan University, Kunming 650091, China
Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650091, China
Yunnan International Joint Laboratory of China–Laos–Bangladesh–Myanmar Natural Resources Remote Sensing Monitoring, Kunming 650091, China
Zhifang Zhao
CORRESPONDING AUTHOR
Yunnan International Joint Laboratory of China–Laos–Bangladesh–Myanmar Natural Resources Remote Sensing Monitoring, Kunming 650091, China
School of Earth Sciences, Yunnan University, Kunming 650500, China
Yongpeng Gao
Faculty of Geography, Yunnan Normal University, Kunming 650500, China
Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming 650500, China
Fuming Xie
Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Yunnan University, Kunming 650091, China
Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650091, China
Georg Veh
Institute of Environmental Science and Geography, University of Potsdam, Potsdam, Germany
Letian Xiao
Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Yunnan University, Kunming 650091, China
Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650091, China
Jinlong Jing
School of Mathematics and Statistics, Yunnan University, 650091 Kunming, China
Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Yunnan University, Kunming 650091, China
Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650091, China
Kunpeng Wu
Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Yunnan University, Kunming 650091, China
Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650091, China
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Cited
9 citations as recorded by crossref.
- Changes in glacial lakes and associated risks in the China‒Nepal Himalayas Y. Wu et al. https://doi.org/10.1016/j.accre.2026.06.001
- A 10-m glacial lake dataset along the Sichuan-Tibet Railway using Sentinel-2 images Q. Deng et al. https://doi.org/10.1080/10095020.2025.2601921
- Glacial lake outburst hazard assessment linked to moraine dam and permafrost stability in Sikkim Himalaya A. Misra et al. https://doi.org/10.1016/j.kjs.2026.100588
- Monitoring and simulation of typical glacial lake outburst debris flow in Xizang, China Y. Zhuoma et al. https://doi.org/10.1007/s12040-026-02769-5
- Geospatial analysis of South Lhonak Lake outburst triggered on October, 2023 P. Biswakarma et al. https://doi.org/10.1007/s43538-025-00499-8
- Downstream hydrological consequences of existing and potential glacial lakes in a changing climate S. Barre & A. Sarma https://doi.org/10.1016/j.jhydrol.2026.135759
- Towards improved agricultural water accounting: a fusion method for regional pond water storage assessment Q. Wang et al. https://doi.org/10.2166/wcc.2026.460
- Brief communication: Towards defining the worst-case breach scenarios and potential flood volumes for moraine-dammed lake outbursts A. Emmer et al. https://doi.org/10.5194/nhess-26-4045-2026
- Hazard assessment of the dankanongba glacial lake outburst flood based on HEC-RAS in Bomi, Tibet S. Li et al. https://doi.org/10.3389/feart.2026.1880357
9 citations as recorded by crossref.
- Changes in glacial lakes and associated risks in the China‒Nepal Himalayas Y. Wu et al. https://doi.org/10.1016/j.accre.2026.06.001
- A 10-m glacial lake dataset along the Sichuan-Tibet Railway using Sentinel-2 images Q. Deng et al. https://doi.org/10.1080/10095020.2025.2601921
- Glacial lake outburst hazard assessment linked to moraine dam and permafrost stability in Sikkim Himalaya A. Misra et al. https://doi.org/10.1016/j.kjs.2026.100588
- Monitoring and simulation of typical glacial lake outburst debris flow in Xizang, China Y. Zhuoma et al. https://doi.org/10.1007/s12040-026-02769-5
- Geospatial analysis of South Lhonak Lake outburst triggered on October, 2023 P. Biswakarma et al. https://doi.org/10.1007/s43538-025-00499-8
- Downstream hydrological consequences of existing and potential glacial lakes in a changing climate S. Barre & A. Sarma https://doi.org/10.1016/j.jhydrol.2026.135759
- Towards improved agricultural water accounting: a fusion method for regional pond water storage assessment Q. Wang et al. https://doi.org/10.2166/wcc.2026.460
- Brief communication: Towards defining the worst-case breach scenarios and potential flood volumes for moraine-dammed lake outbursts A. Emmer et al. https://doi.org/10.5194/nhess-26-4045-2026
- Hazard assessment of the dankanongba glacial lake outburst flood based on HEC-RAS in Bomi, Tibet S. Li et al. https://doi.org/10.3389/feart.2026.1880357
Saved (final revised paper)
Latest update: 11 Nov 2026
Short summary
Here we propose a new mathematically robust and cost-effective model to improve glacial lake water storage estimation. We have also provided a dataset of measured water storage in glacial lakes through field depth measurements. Our model incorporates an automated calculation process and outperforms previous ones, achieving an average relative error of only 14 %. This research offers a valuable tool for researchers seeking to improve the risk assessment of glacial lake outburst floods.
Here we propose a new mathematically robust and cost-effective model to improve glacial lake...
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