Articles | Volume 22, issue 10
https://doi.org/10.5194/nhess-22-3309-2022
https://doi.org/10.5194/nhess-22-3309-2022
Research article
 | 
13 Oct 2022
Research article |  | 13 Oct 2022

Pre-collapse motion of the February 2021 Chamoli rock–ice avalanche, Indian Himalaya

Maximillian Van Wyk de Vries, Shashank Bhushan, Mylène Jacquemart, César Deschamps-Berger, Etienne Berthier, Simon Gascoin, David E. Shean, Dan H. Shugar, and Andreas Kääb

Related authors

At-scale Model Output Statistics in mountain environments (AtsMOS v1.0)
Maximillian Van Wyk de Vries, Tom Matthews, L. Baker Perry, Nirakar Thapa, and Rob Wilby
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-36,https://doi.org/10.5194/gmd-2024-36, 2024
Preprint under review for GMD
Short summary
Late Quaternary glacial maxima in Southern Patagonia: insights from the Lago Argentino glacier lobe
Matias Romero, Shanti B. Penprase, Maximillian S. Van Wyk de Vries, Andrew D. Wickert, Andrew G. Jones, Shaun A. Marcott, Jorge A. Strelin, Mateo A. Martini, Tammy M. Rittenour, Guido Brignone, Mark D. Shapley, Emi Ito, Kelly R. MacGregor, and Marc W. Caffee
Clim. Past Discuss., https://doi.org/10.5194/cp-2024-24,https://doi.org/10.5194/cp-2024-24, 2024
Preprint under review for CP
Short summary
Modelling of post-monsoon drying in Nepal: implications for landslide hazard
Maximillian Van Wyk de Vries, Sihan Li, Katherine Arrell, Jeevan Baniya, Dipak Basnet, Gopi K. Basyal, Nyima Dorjee Bhotia, Alexander L. Densmore, Tek Bahadur Dong, Alexandre Dunant, Erin L. Harvey, Ganesh K. Jimee, Mark E. Kincey, Katie Oven, Sarmila Paudyal, Dammar Singh Pujara, Anuradha Puri, Ram Shrestha, Nick J. Rosser, and Simon J. Dadson
EGUsphere, https://doi.org/10.5194/egusphere-2024-397,https://doi.org/10.5194/egusphere-2024-397, 2024
Short summary
Brief Communication: Weak correlation between building damage and loss of life from landslides
Maximillian Van Wyk de Vries, Alexandre Dunant, Amy L. Johnson, Erin L. Harvey, Sihan Li, Katherine Arrell, Jeevan Baniya, Dipak Basnet, Gopi K. Basyal, Nyima Dorjee Bhotia, Simon J. Dadson, Alexander L. Densmore, Tek Bahadur Dong, Mark E. Kincey, Katie Oven, Anuradha Puri, and Nick J. Rosser
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-40,https://doi.org/10.5194/nhess-2024-40, 2024
Preprint under review for NHESS
Short summary
GLAcier Feature Tracking testkit (GLAFT): a statistically and physically based framework for evaluating glacier velocity products derived from optical satellite image feature tracking
Whyjay Zheng, Shashank Bhushan, Maximillian Van Wyk De Vries, William Kochtitzky, David Shean, Luke Copland, Christine Dow, Renette Jones-Ivey, and Fernando Pérez
The Cryosphere, 17, 4063–4078, https://doi.org/10.5194/tc-17-4063-2023,https://doi.org/10.5194/tc-17-4063-2023, 2023
Short summary

Related subject area

Landslides and Debris Flows Hazards
Characteristics of debris-flow-prone watersheds and debris-flow-triggering rainstorms following the Tadpole Fire, New Mexico, USA
Luke A. McGuire, Francis K. Rengers, Ann M. Youberg, Alexander N. Gorr, Olivia J. Hoch, Rebecca Beers, and Ryan Porter
Nat. Hazards Earth Syst. Sci., 24, 1357–1379, https://doi.org/10.5194/nhess-24-1357-2024,https://doi.org/10.5194/nhess-24-1357-2024, 2024
Short summary
Morphological characteristics and conditions of drainage basins contributing to the formation of debris flow fans: an examination of regions with different rock strength using decision tree analysis
Ken'ichi Koshimizu, Satoshi Ishimaru, Fumitoshi Imaizumi, and Gentaro Kawakami
Nat. Hazards Earth Syst. Sci., 24, 1287–1301, https://doi.org/10.5194/nhess-24-1287-2024,https://doi.org/10.5194/nhess-24-1287-2024, 2024
Short summary
Comparison of debris flow observations, including fine-sediment grain size and composition and runout model results, at Illgraben, Swiss Alps
Daniel Bolliger, Fritz Schlunegger, and Brian W. McArdell
Nat. Hazards Earth Syst. Sci., 24, 1035–1049, https://doi.org/10.5194/nhess-24-1035-2024,https://doi.org/10.5194/nhess-24-1035-2024, 2024
Short summary
Simulation analysis of 3D stability of a landslide with a locking segment: a case study of the Tizicao landslide in Maoxian County, southwest China
Yuntao Zhou, Xiaoyan Zhao, Guangze Zhang, Bernd Wünnemann, Jiajia Zhang, and Minghui Meng
Nat. Hazards Earth Syst. Sci., 24, 891–906, https://doi.org/10.5194/nhess-24-891-2024,https://doi.org/10.5194/nhess-24-891-2024, 2024
Short summary
Space–time landslide hazard modeling via Ensemble Neural Networks
Ashok Dahal, Hakan Tanyas, Cees van Westen, Mark van der Meijde, Paul Martin Mai, Raphaël Huser, and Luigi Lombardo
Nat. Hazards Earth Syst. Sci., 24, 823–845, https://doi.org/10.5194/nhess-24-823-2024,https://doi.org/10.5194/nhess-24-823-2024, 2024
Short summary

Cited articles

Alexandrov, O.: NeoGeographyToolkit/StereoPipeline, GitHub [code], https://github.com/NeoGeographyToolkit/StereoPipeline, last access: 12 October 2022. a
Allen, S. K., Cox, S. C., and Owens, I. F.: Rock avalanches and other landslides in the central Southern Alps of New Zealand: a regional study considering possible climate change impacts, Landslides, 8, 33–48, https://doi.org/10.1007/s10346-010-0222-z, 2011. a
Aryal, A., Brooks, B. A., Reid, M. E., Bawden, G. W., and Pawlak, G. R.: Displacement fields from point cloud data: Application of particle imaging velocimetry to landslide geodesy, J. Geophys. Res.-Earth, 117, F01029, https://doi.org/10.1029/2011JF002161, 2012. a
Barba-Sevilla, M., Baird, B. W., Liel, A. B., and Tiampo, K. F.: Hazard Implications of the 2016 Mw 5.0 Cushing, OK Earthquake from a Joint Analysis of Damage and InSAR Data, Remote Sens., 10, 1715, https://doi.org/10.3390/rs10111715, 2018. a
Behling, R., Roessner, S., Kaufmann, H., and Kleinschmit, B.: Automated Spatiotemporal Landslide Mapping over Large Areas Using RapidEye Time Series Data, Remote Sens., 6, 8026–8055, https://doi.org/10.3390/rs6098026, 2014. a
Download
Short summary
On 7 February 2021, a large rock–ice avalanche occurred in Chamoli, Indian Himalaya. The resulting debris flow swept down the nearby valley, leaving over 200 people dead or missing. We use a range of satellite datasets to investigate how the collapse area changed prior to collapse. We show that signs of instability were visible as early 5 years prior to collapse. However, it would likely not have been possible to predict the timing of the event from current satellite datasets.
Altmetrics
Final-revised paper
Preprint