Articles | Volume 17, issue 5
https://doi.org/10.5194/nhess-17-801-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-17-801-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| Highlight paper
| 
01 Jun 2017
Research article | Highlight paper |
| 01 Jun 2017
Debris-flow modeling at Meretschibach and Bondasca catchments, Switzerland: sensitivity testing of field-data-based entrainment model
Florian Frank
CORRESPONDING AUTHOR
Swiss Federal Institute for Forest, Snow and Landscape Research,
Birmensdorf, 8903, Switzerland
Brian W. McArdell
Swiss Federal Institute for Forest, Snow and Landscape Research,
Birmensdorf, 8903, Switzerland
Nicole Oggier
wasser/schnee/lawinen, Ingenieurbüro André Burkard AG,
Brig-Glis, 3900, Switzerland
Patrick Baer
Glaciology, Geomorphodynamics & Geochronology, Department of
Geography, University of Zurich, Zurich, 8057, Switzerland
Marc Christen
WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, 7260, Switzerland
Andreas Vieli
Glaciology, Geomorphodynamics & Geochronology, Department of
Geography, University of Zurich, Zurich, 8057, Switzerland
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- A depth-integrated SPH model for debris floods: application to Lo Wai (Hong Kong) debris flood of August 2005 C. Lin et al. 10.1680/jgeot.17.P.267
- Debris Flow Modelling Using RAMMS Model in the Alpine Environment With Focus on the Model Parameters and Main Characteristics M. Mikoš & N. Bezak 10.3389/feart.2020.605061
- Initiation and Flow Conditions of Contemporary Flows in Martian Gullies T. de Haas et al. 10.1029/2018JE005899
- How Bed Composition Affects Erosion by Debris Flows—An Experimental Assessment L. Roelofs et al. 10.1029/2023GL103294
- Back calculation and hazard prediction of a debris flow in Wenchuan meizoseismal area, China B. Liu et al. 10.1007/s10064-021-02127-3
- The role of observations in the inverse analysis of landslide propagation M. Calvello et al. 10.1016/j.compgeo.2017.07.011
- Runout modelling and hazard assessment of Tangni debris flow in Garhwal Himalayas, India R. Dash et al. 10.1007/s12665-021-09637-z
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- A Perspective of Surge Dynamics in Natural Debris Flows Through Pulse‐Doppler Radar Observations T. Schöffl et al. 10.1029/2023JF007171
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- Modelling of landslides in a scree slope induced by groundwater and rainfall D. Lucas et al. 10.1680/jphmg.18.00106
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Latest update: 20 Nov 2024
Short summary
This study describes a sensitivity analysis of the RAMMS debris-flow entrainment model, which is intended to help solve problems related to predicting the runout of debris flows. The results indicate that the entrainment model predicts plausible erosion volumes in comparison with field data. These eroded volumes are sensitive to the initial landslide volume, suggesting that this tool may be useful for both reconstruction of historical events and modeling of debris flow scenarios.
This study describes a sensitivity analysis of the RAMMS debris-flow entrainment model, which is...
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