Articles | Volume 24, issue 3
https://doi.org/10.5194/nhess-24-1035-2024
© Author(s) 2024. 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-24-1035-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Mar 2024
Research article |
| 28 Mar 2024
| 28 Mar 2024
Comparison of debris flow observations, including fine-sediment grain size and composition and runout model results, at Illgraben, Swiss Alps
Daniel Bolliger
Institute of Geological Sciences, University of Bern, Bern, Switzerland
GEOTEST AG, Zollikofen, Switzerland
Fritz Schlunegger
CORRESPONDING AUTHOR
Institute of Geological Sciences, University of Bern, Bern, Switzerland
Brian W. McArdell
Swiss Federal Institute for Forest Snow and Landscape Research (WSL), Birmensdorf, Switzerland
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Cited
23 citations as recorded by crossref.
- The Impact of DSM Resolutİon and Block Geometry on 3D Rockfall Modeling: The Case of Başköy Heritage Site M. Utlu et al. https://doi.org/10.46453/jader.1955333
- Runout Characteristics of Rainfall-Induced Debris Flow: A Case Study from Sonapur, Meghalaya, India S. Das et al. https://doi.org/10.1007/s10706-025-03078-2
- Numerical Simulation of Rainfall-Induced Debris Flows Triggered by Cyclone Yaku 2023 in Chasquitambo, Peru H. Flores et al. https://doi.org/10.3390/hydrology13030083
- Tree-Based Machine Learning and Flow Simulation for Debris Flow Susceptibility, Runout Propagation, and Dynamics in the Higher Himalayas H. Daud et al. https://doi.org/10.1007/s11004-025-10196-3
- Influence of catchment lithology on debris‐flow fan morphology, sedimentology and evolution—Field evidence from the White Mountains, southern California, USA T. de Haas et al. https://doi.org/10.1002/esp.70177
- Integrating TRIGRS and RAMMS for the spatiotemporal prediction of rainfall induced landslides and landslide trajectory: a case study A. Musaib et al. https://doi.org/10.1007/s11069-025-07779-y
- Assessment of physical parameters impacts on debris flow modeling with RAMMS J. Fan & M. Galoie https://doi.org/10.1038/s41598-025-20303-3
- Sedimentological and Mineralogical Signature of Torrential Flow Depositional Area: A Case Study from Eastern Rhodopes, Bulgaria V. Nikolova et al. https://doi.org/10.3390/geographies6010002
- Flow resistance variability in debris flows: evaluating equations, critical stress, and scaling from high-resolution field data T. Schöffl et al. https://doi.org/10.1007/s10346-025-02611-x
- Stratigraphic record of an extreme hydro-sedimentary event in steep mountainous environments: a case study in the Roya Valley R. Kerverdo et al. https://doi.org/10.1016/j.catena.2026.110054
- The sources and selectivity characteristics of organic carbon transported by debris flow events in a mountainous catchment, Southwest China Z. Wang et al. https://doi.org/10.1007/s11368-024-03908-5
- Linking debris flow erosion to channel-bed parameters: Geotechnical and UAS-based investigation of ten channels in Switzerland H. Vicari et al. https://doi.org/10.1016/j.geomorph.2026.110360
- Combining sediment connectivity and debris-flow hazard assessment in the Roßalpen-Prielgraben catchment (Austrian Alps) H. Andlinger et al. https://doi.org/10.1080/02723646.2026.2655154
- Deformation characteristics and motion process prediction analysis of the Lanbazi landslide in Wanzhou District, Chongqing H. Xue et al. https://doi.org/10.1038/s41598-025-18707-2
- An integrated IKOA-CNN-BiGRU-Attention framework with SHAP explainability for high-precision debris flow hazard prediction in the Nujiang river basin, China H. Yang et al. https://doi.org/10.1371/journal.pone.0326587
- Admissibility of solitary wave modes in long-runout debris flows L. Bouchard & S. Moon https://doi.org/10.1103/6kxj-4vpg
- Debris‐flow entrainment modelling under climate change: Considering antecedent moisture conditions along the flow path A. Könz et al. https://doi.org/10.1002/esp.5868
- Predicting Debris Flow Runout with SFLOW Model: Case Study of Datong and Taicun Gullies, Lijiang, China Q. Mehmood et al. https://doi.org/10.1007/s10706-024-03020-y
- Landslide hazard and loss‐of‐life risk assessment for Muriwai, New Zealand following Cyclone Gabrielle in February 2023 M. Howard et al. https://doi.org/10.1080/00288306.2025.2470433
- Adaptation and implementation of the HOTSED framework for assessing seasonal scenarios and short-term weather extremes in a high-altitude watershed of the Eastern Alps M. La Licata et al. https://doi.org/10.1016/j.scitotenv.2026.181528
- From glaciers to large rivers: Lessons and insights from long‐term bedload monitoring R. Rindler et al. https://doi.org/10.1002/esp.70059
- Cascading land surface hazards as a nexus in the Earth system B. Yanites et al. https://doi.org/10.1126/science.adp9559
- Safeguarding Cultural Heritage: Integrating laser scanning, InSAR, vibration monitoring and rockfall/granular flow runout modelling at the Temple of Hatshepsut, Egypt B. Jacobs et al. https://doi.org/10.5194/esurf-14-55-2026
23 citations as recorded by crossref.
- The Impact of DSM Resolutİon and Block Geometry on 3D Rockfall Modeling: The Case of Başköy Heritage Site M. Utlu et al. https://doi.org/10.46453/jader.1955333
- Runout Characteristics of Rainfall-Induced Debris Flow: A Case Study from Sonapur, Meghalaya, India S. Das et al. https://doi.org/10.1007/s10706-025-03078-2
- Numerical Simulation of Rainfall-Induced Debris Flows Triggered by Cyclone Yaku 2023 in Chasquitambo, Peru H. Flores et al. https://doi.org/10.3390/hydrology13030083
- Tree-Based Machine Learning and Flow Simulation for Debris Flow Susceptibility, Runout Propagation, and Dynamics in the Higher Himalayas H. Daud et al. https://doi.org/10.1007/s11004-025-10196-3
- Influence of catchment lithology on debris‐flow fan morphology, sedimentology and evolution—Field evidence from the White Mountains, southern California, USA T. de Haas et al. https://doi.org/10.1002/esp.70177
- Integrating TRIGRS and RAMMS for the spatiotemporal prediction of rainfall induced landslides and landslide trajectory: a case study A. Musaib et al. https://doi.org/10.1007/s11069-025-07779-y
- Assessment of physical parameters impacts on debris flow modeling with RAMMS J. Fan & M. Galoie https://doi.org/10.1038/s41598-025-20303-3
- Sedimentological and Mineralogical Signature of Torrential Flow Depositional Area: A Case Study from Eastern Rhodopes, Bulgaria V. Nikolova et al. https://doi.org/10.3390/geographies6010002
- Flow resistance variability in debris flows: evaluating equations, critical stress, and scaling from high-resolution field data T. Schöffl et al. https://doi.org/10.1007/s10346-025-02611-x
- Stratigraphic record of an extreme hydro-sedimentary event in steep mountainous environments: a case study in the Roya Valley R. Kerverdo et al. https://doi.org/10.1016/j.catena.2026.110054
- The sources and selectivity characteristics of organic carbon transported by debris flow events in a mountainous catchment, Southwest China Z. Wang et al. https://doi.org/10.1007/s11368-024-03908-5
- Linking debris flow erosion to channel-bed parameters: Geotechnical and UAS-based investigation of ten channels in Switzerland H. Vicari et al. https://doi.org/10.1016/j.geomorph.2026.110360
- Combining sediment connectivity and debris-flow hazard assessment in the Roßalpen-Prielgraben catchment (Austrian Alps) H. Andlinger et al. https://doi.org/10.1080/02723646.2026.2655154
- Deformation characteristics and motion process prediction analysis of the Lanbazi landslide in Wanzhou District, Chongqing H. Xue et al. https://doi.org/10.1038/s41598-025-18707-2
- An integrated IKOA-CNN-BiGRU-Attention framework with SHAP explainability for high-precision debris flow hazard prediction in the Nujiang river basin, China H. Yang et al. https://doi.org/10.1371/journal.pone.0326587
- Admissibility of solitary wave modes in long-runout debris flows L. Bouchard & S. Moon https://doi.org/10.1103/6kxj-4vpg
- Debris‐flow entrainment modelling under climate change: Considering antecedent moisture conditions along the flow path A. Könz et al. https://doi.org/10.1002/esp.5868
- Predicting Debris Flow Runout with SFLOW Model: Case Study of Datong and Taicun Gullies, Lijiang, China Q. Mehmood et al. https://doi.org/10.1007/s10706-024-03020-y
- Landslide hazard and loss‐of‐life risk assessment for Muriwai, New Zealand following Cyclone Gabrielle in February 2023 M. Howard et al. https://doi.org/10.1080/00288306.2025.2470433
- Adaptation and implementation of the HOTSED framework for assessing seasonal scenarios and short-term weather extremes in a high-altitude watershed of the Eastern Alps M. La Licata et al. https://doi.org/10.1016/j.scitotenv.2026.181528
- From glaciers to large rivers: Lessons and insights from long‐term bedload monitoring R. Rindler et al. https://doi.org/10.1002/esp.70059
- Cascading land surface hazards as a nexus in the Earth system B. Yanites et al. https://doi.org/10.1126/science.adp9559
- Safeguarding Cultural Heritage: Integrating laser scanning, InSAR, vibration monitoring and rockfall/granular flow runout modelling at the Temple of Hatshepsut, Egypt B. Jacobs et al. https://doi.org/10.5194/esurf-14-55-2026
Saved (final revised paper)
Latest update: 21 Jul 2026
Short summary
We analysed data from the Illgraben debris flow monitoring station, Switzerland, and we modelled these flows with a debris flow runout model. We found that no correlation exists between the grain size distribution, the mineralogical composition of the matrix, and the debris flow properties. The flow properties rather appear to be determined by the flow volume, from which most other parameters can be derived.
We analysed data from the Illgraben debris flow monitoring station, Switzerland, and we modelled...
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