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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36 citations as recorded by crossref.
- Robustness evaluation of the probability-based HTCA model for simulating debris-flow run-out extent: Case study of the 2010 Hongchun event, China Y. Ma et al. 10.1016/j.enggeo.2022.106918
- Dynamic characteristics and erosion effect of a landslide-induced debris flow which occurred in Pingwu, southwest China B. Liu et al. 10.1007/s10064-023-03480-1
- Copula-Based Probabilistic Approaches for Predicting Debris-Flow Runout Distances in the Wenchuan Earthquake Zone M. Tian & X. Sheng 10.1061/AJRUA6.0001197
- Comparison of debris flow observations, including fine-sediment grain size and composition and runout model results, at Illgraben, Swiss Alps D. Bolliger et al. 10.5194/nhess-24-1035-2024
- Modelling of landslides in a scree slope induced by groundwater and rainfall D. Lucas et al. 10.1680/jphmg.18.00106
- Voellmy-type mixture rheologies for dilatant, two-layer debris flow models G. Meyrat et al. 10.1007/s10346-023-02092-w
- Subaqueous landslides associated with historical road improvements in steep glaciated terrain, Loch Lomond, western Scotland A. Finlayson et al. 10.1144/qjegh2022-075
- Numerical analysis of debris flow erosion in the mountainous areas affected by the 2008 Wenchuan earthquake using a depth-averaged two-phase model H. Cheng et al. 10.1007/s11069-022-05669-1
- A multi-step hazard assessment for debris-flow prone areas influenced by hydroclimatic events V. Cabral et al. 10.1016/j.enggeo.2022.106961
- Impact of a Random Sequence of Debris Flows on Torrential Fan Formation N. Bezak et al. 10.3390/geosciences9020064
- How debris‐flow composition affects bed erosion quantity and mechanisms: An experimental assessment L. Roelofs et al. 10.1002/esp.5369
- Characteristics and dynamic analysis of the October 2018 long-runout disaster chains in the Yarlung Zangbo River downstream, Tibet, China T. Zhang et al. 10.1007/s11069-022-05358-z
- Analyzing landslide-induced debris flow and flow-bridge interaction by using a hybrid model of depth-averaged model and discrete element method W. Shiu et al. 10.1007/s10346-022-01963-y
- 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
- Simulating glacier lake outburst floods (GLOFs) with a two-phase/layer debris flow model considering fluid-solid flow transitions G. Meyrat et al. 10.1007/s10346-023-02157-w
- 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
- Multiscale analysis of surface roughness for the improvement of natural hazard modelling N. Brožová et al. 10.5194/nhess-21-3539-2021
- Initiation and Flow Conditions of Contemporary Flows in Martian Gullies T. de Haas et al. 10.1029/2018JE005899
- Multi‐Model Comparison of Computed Debris Flow Runout for the 9 January 2018 Montecito, California Post‐Wildfire Event K. Barnhart et al. 10.1029/2021JF006245
- 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
- Debris-flow monitoring and warning: Review and examples M. Hürlimann et al. 10.1016/j.earscirev.2019.102981
- A mechanical erosion model for two-phase mass flows S. Pudasaini & J. Fischer 10.1016/j.ijmultiphaseflow.2020.103416
- Runout modelling and hazard assessment of Tangni debris flow in Garhwal Himalayas, India R. Dash et al. 10.1007/s12665-021-09637-z
- Modelling the 2012 Lahar in a Sector of Jamapa Gorge (Pico de Orizaba Volcano, Mexico) Using RAMMS and Tree-Ring Evidence O. Franco-Ramos et al. 10.3390/w12020333
- Investigation of Characteristics of Long Runout Landslides Based on the Multi-source Data Collaboration: A Case Study of the Shuicheng Basalt Landslide in Guizhou, China Y. Zhuang et al. 10.1007/s00603-021-02493-0
- Post-Collapse Evolution of a Rapid Landslide from Sequential Analysis with FE and SPH-Based Models L. Brezzi et al. 10.3390/geosciences11090364
- Landslides and increased debris‐flow activity: A systematic comparison of six catchments in Switzerland F. Frank et al. 10.1002/esp.4524
- Engineering geological investigation and runout modelling of the disastrous Taliye landslide, Maharashtra, India of 22 July 2021 B. Peethambaran et al. 10.1007/s11069-023-05985-0
- A Perspective of Surge Dynamics in Natural Debris Flows Through Pulse‐Doppler Radar Observations T. Schöffl et al. 10.1029/2023JF007171
- Research Progress of Initial Mechanism on Debris Flow and Related Discrimination Methods: A Review J. Du et al. 10.3389/feart.2021.629567
- Deciphering controls for debris‐flow erosion derived from a LiDAR‐recorded extreme event and a calibrated numerical model (Roßbichelbach, Germany) A. Dietrich & M. Krautblatter 10.1002/esp.4578
- Empirical relationships for the estimation of debris flow runout distances on depositional fans in the Wenchuan earthquake zone W. Zhou et al. 10.1016/j.jhydrol.2019.123932
- Modelling future lahars controlled by different volcanic eruption scenarios at Cotopaxi (Ecuador) calibrated with the massively destructive 1877 lahar T. Frimberger et al. 10.1002/esp.5056
- Preliminary results of numerical modelling of debris flow ‐ case study Leva reka, Serbia J. KRUŠIĆ et al. 10.1002/cepa.753
1 citations as recorded by crossref.
Latest update: 19 Apr 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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