2013
DOI: 10.1007/s11629-013-2511-1
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Comparison between FLO-2D and Debris-2D on the application of assessment of granular debris flow hazards with case study

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Cited by 72 publications
(31 citation statements)
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“…For this research, FLO-2D was selected to simulate flood inundation for the current and future climate, corresponding to a 50-year return period. FLO-2D can generate the temporal change in the flow depth, flow velocity, and affected areas [38]. Several data are employed to simulate floods, such as a digital elevation model (DEM) with a 30 m resolution, soil type from the Food and Agriculture Organization (FAO), and land-use data derived from Landsat satellite images [36].…”
Section: Flood Hazardmentioning
confidence: 99%
“…For this research, FLO-2D was selected to simulate flood inundation for the current and future climate, corresponding to a 50-year return period. FLO-2D can generate the temporal change in the flow depth, flow velocity, and affected areas [38]. Several data are employed to simulate floods, such as a digital elevation model (DEM) with a 30 m resolution, soil type from the Food and Agriculture Organization (FAO), and land-use data derived from Landsat satellite images [36].…”
Section: Flood Hazardmentioning
confidence: 99%
“…Debris-2D was developed by Liu and Huang (2006) and has been widely applied by researchers (Liu et al, 2009;Tsai et al, 2011;Wu et al, 2013). The debris flow is treated as a single phase non-Newtonian fluid in the model.…”
Section: Debris Flow Simulationmentioning
confidence: 99%
“…Indeed, it is easy to find in the literature several applications of such a model, which mainly differ in relation to the sediment characteristics, and hence, in relation to the adopted rheological parameters (see, for example, Bertolo et al, 2005;Boniello et al, 2010;Wu et al, 2013). Various comparisons between its performances and those of other methodologies are also available.…”
Section: M Stancanelli and E Foti: A Comparative Assessment Of Tmentioning
confidence: 99%
“…Here the following values were assumed: α 1 = 0.006032; β 1 = 19.9; α 2 = 0.000707; β 2 = 29.8. These values were chosen from the ones available in the literature, with the aim of selecting those that have similar geomorphological and lithological characteristics to those present in the studied area (O'Brien and Julien, 1988;Bertolo et al, 2005;Boniello et al, 2010;Wu et al, 2013). In order to perform the simulations with the TRENT-2D model, it is necessary to estimate the parameters ϕ, Y and β (Eqs.…”
Section: Input Data For Modellingmentioning
confidence: 99%