Articles | Volume 15, issue 7
https://doi.org/10.5194/tc-15-3159-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-15-3159-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Jul 2021
Research article |
| 09 Jul 2021
| 09 Jul 2021
The 2020 glacial lake outburst flood at Jinwuco, Tibet: causes, impacts, and implications for hazard and risk assessment
Guoxiong Zheng
CORRESPONDING AUTHOR
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute
of Ecology and Geography, Chinese Academy of Sciences, 830011 Ürümqi, China
Climatic Change Impacts and Risks in the Anthropocene (C-CIA),
Institute for Environmental Sciences, University of Geneva, 1205 Geneva,
Switzerland
University of Chinese Academy of Sciences, 100049 Beijing, China
Martin Mergili
Institute of Geography and Regional Science, University of Graz, 8010
Graz, Austria
Institute of Applied Geology, University of Natural Resources and Life
Sciences (BOKU), 1190 Vienna, Austria
Adam Emmer
Institute of Geography and Regional Science, University of Graz, 8010
Graz, Austria
Simon Allen
Climatic Change Impacts and Risks in the Anthropocene (C-CIA),
Institute for Environmental Sciences, University of Geneva, 1205 Geneva,
Switzerland
Department of Geography, University of Zurich, 8057 Zurich,
Switzerland
Anming Bao
CORRESPONDING AUTHOR
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute
of Ecology and Geography, Chinese Academy of Sciences, 830011 Ürümqi, China
China-Pakistan Joint Research Centre on Earth Sciences, CAS-HEC, 45320
Islamabad, Pakistan
School of Geography and Tourism, Qufu Normal University, 276800
Rizhao, China
Markus Stoffel
Climatic Change Impacts and Risks in the Anthropocene (C-CIA),
Institute for Environmental Sciences, University of Geneva, 1205 Geneva,
Switzerland
Dendrolab.ch, Department of Earth Sciences, University of Geneva, 1205
Geneva, Switzerland
Department F.-A. Forel for Environmental and Aquatic Sciences,
University of Geneva, 1205 Geneva, Switzerland
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M. Mergili, J. Krenn, and H.-J. Chu
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M. Mergili and H.-J. Chu
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Revised manuscript not accepted
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M. Jochner, J. M. Turowski, A. Badoux, M. Stoffel, and C. Rickli
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M. Mergili, I. Marchesini, M. Alvioli, M. Metz, B. Schneider-Muntau, M. Rossi, and F. Guzzetti
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H. Frey, H. Machguth, M. Huss, C. Huggel, S. Bajracharya, T. Bolch, A. Kulkarni, A. Linsbauer, N. Salzmann, and M. Stoffel
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Existing methods (area–volume relations, a slope-dependent volume estimation method, and two ice-thickness distribution models) are used to estimate the ice reserves stored in Himalayan–Karakoram glaciers. Resulting volumes range from 2955–4737km³. Results from the ice-thickness distribution models agree well with local measurements; volume estimates from area-related relations exceed the estimates from the other approaches. Evidence on the effect of the selected method on results is provided.
A. Emmer and V. Vilímek
Hydrol. Earth Syst. Sci., 18, 3461–3479, https://doi.org/10.5194/hess-18-3461-2014, https://doi.org/10.5194/hess-18-3461-2014, 2014
F. E. Gruber and M. Mergili
Nat. Hazards Earth Syst. Sci., 13, 2779–2796, https://doi.org/10.5194/nhess-13-2779-2013, https://doi.org/10.5194/nhess-13-2779-2013, 2013
A. Emmer and V. Vilímek
Nat. Hazards Earth Syst. Sci., 13, 1551–1565, https://doi.org/10.5194/nhess-13-1551-2013, https://doi.org/10.5194/nhess-13-1551-2013, 2013
Related subject area
Discipline: Other | Subject: Natural Hazards
Brief communication: An ice-debris avalanche in the Nupchu Valley, Kanchenjunga Conservation Area, eastern Nepal
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We developed three deep learning models (CNN, LSTM, and combined CN-LSTM networks) to predict breakup ice-jam events to be used as an early warning system of possible flooding in rivers. In the models, we used hydro-meteorological data associated with breakup ice jams. The models show excellent performance, and the main finding is that the CN-LSTM model is superior to the CNN-only and LSTM-only networks in both training and generalization accuracy.
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Short summary
This paper reports on a recent glacial lake outburst flood (GLOF) event that occurred on 26 June 2020 in Tibet, China. We find that this event was triggered by a debris landslide from a steep lateral moraine. As the relationship between the long-term evolution of the lake and its likely landslide trigger revealed by a time series of satellite images, this case provides strong evidence that it can be plausibly linked to anthropogenic climate change.
This paper reports on a recent glacial lake outburst flood (GLOF) event that occurred on 26 June...
