Detailed Inundation Modelling Using High Resolution DEMs

Erpicum, Sébastien; Dewals, Benjamin; Archambeau, Pierre; Detrembleur, Sylvain; Pirotton, Michel

doi:10.1080/19942060.2010.11015310

Cited by 44 publications

(38 citation statements)

References 11 publications

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“…Uncertainty sources mainly arise from the digital elevation model, the underlying assumptions of the hydraulic model, and the boundary conditions (Table 3). The validation of the hydraulic model for inundation modeling along more than 1000 km of river reaches in the Walloon region has shown a mean absolute error on water stage values of 10 to 15 cm (Ernst et al 2010, Erpicum et al 2010a). In comparison with an unsteady simulation, the steady-state assumption induces an overestimation of the maximum water stages.…”

Section: Inundation Estimationmentioning

confidence: 99%

“…Roughness coefficients are spatially distributed and validated on historical flood events. They only stand for small scale friction because large scale roughness is taken into account in the digital elevation model (Ernst et al 2010, Erpicum et al 2010a). …”

Section: Inundation Estimationmentioning

confidence: 99%

“…A grid adaptation technique restricts the computation domain to the wet cells. Wetting and drying of cells is handled without any mass conservation error thanks to an iterative procedure (Erpicum et al 2010a).…”

Section: Inundation Estimationmentioning

confidence: 99%

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Impacts of climate change on future flood damage on the river Meuse, with a distributed uncertainty analysis

et al. 2015

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Flood-risk assessments are an objective and quantitative basis for implementing harmonized flood mitigation policies at the basin scale. However, the generated results are subject to different sources of uncertainty arising from underlying assumptions, data availability and the random nature of the phenomenon. These sources of uncertainty are likely to bias conclusions because they are irregularly distributed in space. Therefore, this paper addresses the question of the influence of local features on the expected annual damage in different municipalities. Based on results generated in the frame of a transnational flood-risk-assessment project for the river Meuse (Western Europe) taking climate change into account, the paper presents an analysis of the relative contributions of different sources of uncertainty within one single administrative region (the Walloon region in Belgium, i.e. a river reach of approximately 150 km). The main sources of uncertainty are not only found to vary both from one municipality to the other and in time, but also to induce opposite effects on the computed damage. Nevertheless, practical conclusions for policy-makers can still be drawn.

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Section: Inundation Estimationmentioning

confidence: 99%

Section: Inundation Estimationmentioning

confidence: 99%

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Impacts of climate change on future flood damage on the river Meuse, with a distributed uncertainty analysis

et al. 2015

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“…On the one hand, our original iterative approach has been used so far in a number of flow studies involving wetting and drying of cells [6,17,18]. On the other hand, it may also apply for suspended load modelling accounting for a variation range of the concentration bounded by zero and a saturation concentration.…”

Section: Discussionmentioning

confidence: 99%

Modelling sediment transport over partially non‐erodible bottoms

Rulot

Dewals

Erpicum

et al. 2011

Numerical Methods in Fluids

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SUMMARYIn-depth-averaged and cross-section-averaged morphodynamic models, based on explicit time integration, it may happen that the computed bed level becomes lower than the top level of a non-erodible layer (e.g. concrete, bedrock or armoured layer). This is a standard pitfall, which has been addressed in different ways. In this paper, we present an original approach for avoiding computation of non-physical bed levels, using an iterative procedure to correct the outward sediment fluxes. The procedure is shown to be computationally efficient while it achieves a high accuracy in terms of mass conservation. We compare our original approach with the existing Struiksma's method and with a reformulation of the problem in terms of mathematical optimization of a linear or nonlinear objective function under linear constraints.The new procedure has been incorporated into an existing finite volume morphodynamic model. It has been validated with several 1D benchmarks leading to configurations with sediment transport over nonerodible bottom. The computation time has been verified not to increase by more than 15% compared with runs without non-erodible bottom.

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“…The time step is adaptive and computed based on the Courant-Friedrichs-Lewy (CFL) stability criterion, with a CFL number equal to 0.5. It takes values of the order of 10 -3 -10 -2 s. This finite volume model has already proven its validity and efficiency for the analysis of natural and artificial floods (Ernst et al, 2010;Erpicum et al, 2010a;Dewals et al, 2011), as well as numerous other applications including complex turbulent flows (Dewals et al, 2008;Erpicum et al, 2009;Roger et al, 2009;Dufresne et al, 2011).…”

Section: Numerical Modelmentioning

confidence: 99%

Can the collapse of a fly ash heap develop into an air-fluidized flow? — Reanalysis of the Jupille accident (1961)

et al. 2015

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A fly ash heap collapse occurred in Jupille (Liege, Belgium) in 1961. The subsequent flow of fly ash reached a surprisingly long runout and had catastrophic consequences. Its unprecedented degree of fluidization attracted scientific attention. As drillings and direct observations revealed no water-saturated zone at the base of the deposits, scientists assumed an air-fluidization mechanism, which appeared consistent with the properties of the material. In this paper, the air-fluidization assumption is tested based on two-dimensional numerical simulations. The numerical model has been developed so as to focus on the most prominent processes governing the flow, with parameters constrained by their physical interpretation. Results are compared to accurate field observations and are presented for different stages in the model enhancement, so as to provide a base for a discussion of the relative influence of pore pressure dissipation and pore pressure generation. These results show that the apparently high diffusion coefficient that characterizes the dissipation of air pore pressures is in fact sufficiently low for an important degree of fluidization to be maintained during a flow of hundreds of meters.

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Detailed Inundation Modelling Using High Resolution DEMs

Cited by 44 publications

References 11 publications

Impacts of climate change on future flood damage on the river Meuse, with a distributed uncertainty analysis

Impacts of climate change on future flood damage on the river Meuse, with a distributed uncertainty analysis

Modelling sediment transport over partially non‐erodible bottoms

Can the collapse of a fly ash heap develop into an air-fluidized flow? — Reanalysis of the Jupille accident (1961)

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