Review Article Debris flow modeling: A review

1996 ◽  
Vol 8 (1) ◽  
pp. 1-35 ◽  
Author(s):  
K. Hutter ◽  
B. Svendson ◽  
D. Rickenmann
Keyword(s):  
Debris Flow ◽  
Review Article ◽  
Flow Modeling

Progress in Debris Flow Modeling

2007 ◽  
pp. 59-77 ◽  
Author(s):  
Tamotsu Takahashi
Keyword(s):  
Debris Flow ◽  
Flow Modeling

scholarly journals Debris flow modeling at Meretschibach and Bondasca catchment, Switzerland: sensitivity testing of field data-based erosion model

2016 ◽  
Author(s):  
Florian Frank ◽  
Brian W. McArdell ◽  
Nicole Oggier ◽  
Patrick Baer ◽  
Marc Christen ◽  
...  
Keyword(s):  
Debris Flow ◽  
Field Data ◽  
Hazard Analysis ◽  
Flow Volume ◽  
Flow Modeling ◽  
Sensitivity Testing ◽  
Bed Erosion ◽  
Landslide Volume ◽  
Sediment Entrainment ◽  
Basal Shear

Abstract. Debris flow volumes can increase due to the incorporation of sediment into the flow as a consequence of channel-bed erosion along the flow path. This study describes a sensitivity analysis of the recently-introduced RAMMS debris flow entrainment algorithm which is intended to help solve problems related to predicting the runout of debris flows. The entrainment algorithm predicts the depth and rate of erosion as a function of basal shear stress based on an analysis of erosion measurements at the Illgraben catchment, Switzerland (Frank et al., 2015). Starting with a landslide-type initiation in the RAMMS model, the volume of entrained sediment was calculated for recent well-documented debris-flow events at the Bondasca and the Meretschibach catchments, Switzerland. The sensitivity to the initial landslide volume was investigated by systematically varying the initial landslide volume and comparing the resulting debris-flow volume with estimates from the field sites. In both cases, the friction coefficients in the RAMMS runout model were calibrated using the model where the entrainment module was inactivated. The results indicate that the entrainment model predicts plausible erosion volumes in comparison with field data. By including bulking due to entrainment in runout models, more realistic runout patterns are predicted in comparison to starting the model with the entire debris-flow volume (initial landslide plus entrained sediment). In particular, lateral bank overflow – not observed during this event – is prevented when using the sediment entrainment model, even in very steep (≈ 60–65 %) and narrow (4–6 m) torrent channels. Predicted sediment entrainment volumes are sensitive to the initial landslide volume, suggesting that the model may be useful for both reconstruction of historical events as well as the modeling of scenarios as part of a hazard analysis.

Post-fire debris flow modeling analyses: case study of the post-Thomas Fire event in California

2019 ◽  
Vol 100 (1) ◽  
pp. 329-343 ◽  
Author(s):  
Priscilla Addison ◽  
Thomas Oommen
Keyword(s):  
Debris Flow ◽  
Flow Modeling ◽  
Fire Event ◽  
Fire Debris

scholarly journals Debris flow modeling: A review

1994 ◽  
Vol 8 (1) ◽  
pp. 1-35 ◽  
Author(s):  
K. Hutter ◽  
B. Svendsen ◽  
D. Rickenmann
Keyword(s):  
Debris Flow ◽  
Flow Modeling

Topographic Data and Numerical Debris-Flow Modeling

2013 ◽  
pp. 573-578 ◽  
Author(s):  
Jošt Sodnik ◽  
Tomaž Podobnikar ◽  
Urška Petje ◽  
Matjaž Mikoš
Keyword(s):  
Debris Flow ◽  
Flow Modeling ◽  
Topographic Data
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