Articles | Volume 18, issue 2
https://doi.org/10.5194/tc-18-711-2024
© Author(s) 2024. 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-18-711-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Brief communication: An ice-debris avalanche in the Nupchu Valley, Kanchenjunga Conservation Area, eastern Nepal
Alton C. Byers
CORRESPONDING AUTHOR
Institute of Arctic and Alpine Research, University of Colorado at Boulder, Boulder, CO 80309, USA
Marcelo Somos-Valenzuela
Department of Forest Sciences, Faculty of Agriculture and Environmental Sciences, University of La Frontera, Temuco, 4780000, Chile
Dan H. Shugar
Water, Sediment, Hazards, and Earth-surface Dynamics (waterSHED) Lab, Department of Earth, Energy, and Environment, University of Calgary, 2500 University Drive NW, Calgary, Alberta, T2N 1N4, Canada
Daniel McGrath
Department of Geosciences, Colorado State University, Fort Collins, CO 80523, USA
Mohan B. Chand
Department of Environmental Sciences, Patan Multiple Campus, Tribhuvan University, Lalitpur, Nepal
Ram Avtar
Faculty of Environmental Earth Science, Hokkaido University, Sapporo 060-0810, Japan
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David R. Rounce, Alton C. Byers, Elizabeth A. Byers, and Daene C. McKinney
The Cryosphere, 11, 443–449, https://doi.org/10.5194/tc-11-443-2017, https://doi.org/10.5194/tc-11-443-2017, 2017
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On 12 June 2016, the authors witnessed a glacier outburst flood with origins from Lhotse Glacier, located in the Everest region of Nepal. Observations regarding the size of the flood and a reconstruction of its path immediately following the event were performed. Most of the flood water was stored in the glacier's subsurface and likely released by dam failure. A similar flood from Lhotse Glacier was also reported by local community members on 25 May 2015.
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Glacial lake outburst floods pose a significant threat to downstream communities and infrastructure as they rapidly unleash stored lake water. Nepal is home to many potentially dangerous glacial lakes, yet a holistic understanding of the hazards faced by these lakes is lacking. This study develops a framework using remotely sensed data to investigate the hazards and risks associated with each glacial lake and discusses how this assessment may help inform future management actions.
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The Cryosphere, 16, 297–314, https://doi.org/10.5194/tc-16-297-2022, https://doi.org/10.5194/tc-16-297-2022, 2022
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David R. Rounce, Alton C. Byers, Elizabeth A. Byers, and Daene C. McKinney
The Cryosphere, 11, 443–449, https://doi.org/10.5194/tc-11-443-2017, https://doi.org/10.5194/tc-11-443-2017, 2017
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On 12 June 2016, the authors witnessed a glacier outburst flood with origins from Lhotse Glacier, located in the Everest region of Nepal. Observations regarding the size of the flood and a reconstruction of its path immediately following the event were performed. Most of the flood water was stored in the glacier's subsurface and likely released by dam failure. A similar flood from Lhotse Glacier was also reported by local community members on 25 May 2015.
David R. Rounce, Daene C. McKinney, Jonathan M. Lala, Alton C. Byers, and C. Scott Watson
Hydrol. Earth Syst. Sci., 20, 3455–3475, https://doi.org/10.5194/hess-20-3455-2016, https://doi.org/10.5194/hess-20-3455-2016, 2016
Short summary
Short summary
Glacial lake outburst floods pose a significant threat to downstream communities and infrastructure as they rapidly unleash stored lake water. Nepal is home to many potentially dangerous glacial lakes, yet a holistic understanding of the hazards faced by these lakes is lacking. This study develops a framework using remotely sensed data to investigate the hazards and risks associated with each glacial lake and discusses how this assessment may help inform future management actions.
Related subject area
Discipline: Other | Subject: Natural Hazards
Convolutional neural network and long short-term memory models for ice-jam predictions
The 2020 glacial lake outburst flood at Jinwuco, Tibet: causes, impacts, and implications for hazard and risk assessment
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The Cryosphere, 16, 1447–1468, https://doi.org/10.5194/tc-16-1447-2022, https://doi.org/10.5194/tc-16-1447-2022, 2022
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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.
Guoxiong Zheng, Martin Mergili, Adam Emmer, Simon Allen, Anming Bao, Hao Guo, and Markus Stoffel
The Cryosphere, 15, 3159–3180, https://doi.org/10.5194/tc-15-3159-2021, https://doi.org/10.5194/tc-15-3159-2021, 2021
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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.
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Short summary
In spite of enhanced technologies, many large cryospheric events remain unreported because of their remoteness, inaccessibility, or poor communications. In this Brief communication, we report on a large ice-debris avalanche that occurred sometime between 16 and 21 August 2022 in the Kanchenjunga Conservation Area (KCA), eastern Nepal.
In spite of enhanced technologies, many large cryospheric events remain unreported because of...