Articles | Volume 22, issue 3
https://doi.org/10.5194/nhess-22-1015-2022
https://doi.org/10.5194/nhess-22-1015-2022
Research article
 | 
29 Mar 2022
Research article |  | 29 Mar 2022

Detrainment and braking of snow avalanches interacting with forests

Louis Védrine, Xingyue Li, and Johan Gaume

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Cited articles

Abegg, M., Brändli, U.-B., Cioldi, F., Fischer, C., Herold, A., Meile, R., Rösler, E., Speich, S., and Traub, B.: Swiss national forest inventory – Result table No. 815491: forest area Birmensdorf, Swiss Federal Research Institute WSL, https://doi.org/10.21258/1679353, 2020. a
Bartelt, P. and Stöckli, V.: The influence of tree and branch fracture, overturning and debris entrainment on snow avalanche flow, Ann. Glaciol., 32, 209–216, https://doi.org/10.3189/172756401781819544, 2001. a
Bebi, P., Feistl, T., Teich, M., Margreth, S., and Bartelt, P.: Accounting for forest effects in avalanche models and risk analysis, in: 13th congress INTERPRAEVENT 2016, edited by: Koboltschnig, G., 30 May to 2 June 2016, Lucerne, Switzerland, Extended abstracts “Living with natural risks”, 184–185, International Research Society INTERPRAEVENT, 2016. a
Brozžová, N., Fischer, J.-T., Bühler, Y., Bartelt, P., and Bebi, P.: Determining forest parameters for avalanche simulation using remote sensing data, Cold Reg. Sci. Technol., 172, 102976, https://doi.org/10.1016/j.coldregions.2019.102976, 2020. a, b
Christen, M., Kowalski, J., and Bartelt, P.: RAMMS: Numerical simulation of dense snow avalanches in three-dimensional terrain, Cold Reg. Sci. Technol., 63, 1–14, https://doi.org/10.1016/j.coldregions.2010.04.005, 2010. a, b
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Short summary
This study investigates how forests affect the behaviour of snow avalanches through the evaluation of the amount of snow stopped by the trees and the analysis of energy dissipation mechanisms. Different avalanche features and tree configurations have been examined, leading to the proposal of a unified law for the detrained snow mass. Outcomes from this study can be directly implemented in operational models for avalanche risk assessment and contribute to improved forest management strategy.
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