Modeling debris flow propagation and deposition

Ghilardi, Paolo; Natale, L.; Savi, F.

doi:10.1016/s1464-1917(01)00063-0

Cited by 21 publications

(20 citation statements)

References 3 publications

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“…Numerical models of debris flow based on the conservation of mass and momentum of the sediment-water mixture flow have been proposed by several researchers (Takahashi et al 1992;Shieh et al 1996;Brufau et al 2000;Ghilardi et al 2001;Iverson 2003;Wu 2004;Rickenmann et al 2006;Naef et al 2006;Egashira 2007;Tsai 2007;Mambretti et al 2008;Lin et al 2009;Hsu et al 2010). Some of these models considered the erosion and deposition processes of the sediment in the riverbed (Takahashi et al 1992;Shieh et al 1996;Brufau et al 2000;Ghilardi et al 2001;Egashira 2007;Tsai 2007;Mambretti et al 2008).…”

Section: Introductionmentioning

confidence: 99%

Driftwood deposition from debris flows at slit-check dams and fans

et al. 2011

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Experience shows that debris flows containing large woody debris (driftwood) can be more damaging than debris flows without driftwood. In this study, the deposition process of debris flows carrying driftwood was investigated using numerical simulations and flume experiments. Debris-flow trapping due to driftwood jamming in a slit-check dam was also investigated. A numerical model was developed with an interacting combination of Eulerian expression of the debris flow and Lagrangian expression of the driftwood, in which the fluctuating coordinates and rotation of the driftwood were treated stochastically. The calculated shapes and thicknesses of a debris-flow fan and the positions and orientations of the deposited driftwood on a debris-flow fan were consistent with experimental flume results. The jamming of driftwood in a slit-check dam was evaluated based on geometry and probability. The simulated results of outflow discharge and the proportion of driftwood passed through the slit-check dam also agreed with the experimental results.

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Section: Introductionmentioning

confidence: 99%

Driftwood deposition from debris flows at slit-check dams and fans

et al. 2011

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“…Modelling of debris-flow runouts has received considerable attention from researchers over the last decade (Hungr, 2000;Laigle and Marchi, 2000;Massimo, 2000;Ghilardi et al, 2001). Two approaches are possible.…”

Section: Introductionmentioning

confidence: 99%

Flow behaviour and runout modelling of a complex debris flow in a clay‐shale basin

Remaître

Malet

Maquaire

et al. 2005

Earth Surf Processes Landf

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“…The only available models that can simulate three-dimensional debris flow approximately are the two-dimensional depth average models (e.g. Savage and Hutter, 1991;Takahashi et al, 1992;O'Brien et al, 1993;Denlinger and Iverson, 2001;Ghilardi et al, 2001). Most of these models did not incorporate erosion and deposition mechanism; only the models by Takahashi et al (1992) and Ghilardi et al (2001) incorporated the possibility of erosion and deposition.…”

Section: Debris Flow Modelmentioning

confidence: 99%

Hazard assessment of debris flows for Leung King Estateof Hong Kong by incorporating GIS with numericalsimulations

Chau

2004

Nat. Hazards Earth Syst. Sci.

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Abstract.As over seventy percent of the land of Hong Kong is mountainous, rainfall-induced debris flows are not uncommon in Hong Kong. The objective of this study is to incorporate numerical simulations of debris flows with GIS to identify potential debris flow hazard areas. To illustrate this approach, the proposed methodology is applied to Leung King Estate in Tuen Mun. A Digital Elevation Model (DEM) of the terrain and the potential debris-flow sources were generated by using GIS to provide the required terrain and flow source data for the numerical simulations. A theoretical model by Takahashi et al. (1992) improved by incorporating a new erosion initiation criterion was used for simulating the runout distances of debris flows. The well-documented 1990 Tsing Shan debris flow, which occurred not too far from Leung King Estate, was used to calibrate most of the flow parameters needed for computer simulations. Based on the simulation results, a potential hazard zone was identified and presented by using GIS. Our proposed hazard map was thus determined by flow dynamics and a deposition mechanism through computer simulations without using any so-called expert opinions, which are bounded to be subjective and biased.

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Modeling debris flow propagation and deposition

Cited by 21 publications

References 3 publications

Driftwood deposition from debris flows at slit-check dams and fans

Driftwood deposition from debris flows at slit-check dams and fans

Flow behaviour and runout modelling of a complex debris flow in a clay‐shale basin

Hazard assessment of debris flows for Leung King Estateof Hong Kong by incorporating GIS with numericalsimulations

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