Articles | Volume 20, issue 2
https://doi.org/10.5194/nhess-20-505-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-505-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Back calculation of the 2017 Piz Cengalo–Bondo landslide cascade with r.avaflow: what we can do and what we can learn
Institute of Applied Geology, University of Natural Resources and
Life Sciences (BOKU), Peter-Jordan-Straße 82, 1190 Vienna, Austria
Geomorphological Systems and Risk Research, Department of Geography
and Regional Research, University of Vienna, Universitätsstraße 7,
1010 Vienna, Austria
Michel Jaboyedoff
Institute of Earth Sciences, University of Lausanne, Quartier
UNIL-Mouline, Bâtiment Géopolis, 1015 Lausanne, Switzerland
José Pullarello
Institute of Earth Sciences, University of Lausanne, Quartier
UNIL-Mouline, Bâtiment Géopolis, 1015 Lausanne, Switzerland
Shiva P. Pudasaini
Institute of Geosciences, Geophysics Section, University of Bonn,
Meckenheimer Allee 176, 53115 Bonn, Germany
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- The mechanisms of high mobility of a glacial debris flow using the Pudasaini-Mergili multi-phase modeling T. Wang et al. 10.1016/j.enggeo.2023.107186
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Short summary
Computer simulations of complex landslide processes in mountain areas are important for informing risk management but are at the same time challenging in terms of parameterization and physical and numerical model implementation. Using the tool r.avaflow, we highlight the progress and the challenges with regard to such simulations on the example of the Piz Cengalo–Bondo landslide cascade in Switzerland, which started as an initial rockslide–rockfall and finally evolved into a debris flow.
Computer simulations of complex landslide processes in mountain areas are important for...
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