Suitability of the diffusive model for dam break simulation: Application to a CADAM experiment

Prestininzi, Pietro

doi:10.1016/j.jhydrol.2008.07.050

Cited by 55 publications

(61 citation statements)

References 33 publications

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“…Geosciences 2018, 8, x FOR PEER REVIEW 2 of 11 simulation, the diffusive wave simplification is preferred to the full solution (dynamic wave), since the local and convective acceleration terms are small in comparison to the bed slope [16].…”

Section: Methodsmentioning

confidence: 99%

“…Moreover, low accuracy of available topographic data justifies introducing some simplifications to the Saint Venant equations, also known as shallow water equations (SWE), that describe fluid dynamics [13][14][15]. In most practical applications of flood simulation, the diffusive wave simplification is preferred to the full solution (dynamic wave), since the local and convective acceleration terms are small in comparison to the bed slope [16].…”

Section: Introductionmentioning

confidence: 99%

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Simulating the Influence of Buildings on Flood Inundation in Urban Areas

et al. 2018

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Two-dimensional hydraulic modeling is fundamental to simulate flood events in urban area. Key factors to reach optimal results are detailed information about domain geometry and utility of hydrodynamic models to integrate the full or simplified Saint Venant equations in complex geometry. However, in some cases, detailed topographic datasets that represent the domain geometry are not available, so approximations-such as diffusive wave equation-is introduced whilst representing urban area with an adjusted roughness coefficient. In the present paper, different methods to represent buildings and approximation of the Saint Venant equations are tested by performing experiments on a scale physical model of urban district in laboratory. Simplified methods are tested for simulation of a real flood event which occurred in 2013 in the city of Olbia, Italy. Results show that accuracy of simulating flow depth with a detailed geometry is comparable to the one achieved with an adjusted roughness coefficient.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulating the Influence of Buildings on Flood Inundation in Urban Areas

et al. 2018

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show abstract

“…Thus, strategies to mitigate flooding hazards include structural measures, such as detention basins and levee projects, and non-structural measures, such as floodplain regulations, emergency preparedness, and early warning systems [4]. A robust and reliable model is necessary to predict the effect of flooding and to implement appropriate strategies [5].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Different Grid Cell Ordering Approaches in a Simplified Inundation Model

Yang

Chen

Chang

et al. 2015

Water

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This study proposes a simplified model for non-riverine flood routing using a digital elevation model. The model has the advantage of running with only a few types of input, such as topographic data and cumulative rainfall. Given its ease of use, the model is stable and reliable for developing a real-time inundation forecasting system. This model uses two approaches to determine the collection of cells from which flooding is assumed to originate: (1) A traditional "lowest-elevation approach" that assumes flooding originates from the lowest elevations and that is only based on topographic data; and (2) a novel "D-infinity contributing area approach" that assumes flooding originates at the cells toward which the flow moves and that considers in situ topography and upslope information. The flood water is transferred based on the flat-water assumption that the water levels of adjacent cells are equalized.

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“…It reproduces a 5-km reach of the river located in the northern Alps in Italy; the scale of the model is 1:100 and the total area of the experimental facility is 55 × 13 m 2 . Recently, several analyses [7][8][9] have been performed in order to compare experimental data issued by Toce river physical model with the results of existing one-and two-dimensional numerical models.…”

Section: Past Research On Physical Modelling Of Dam-break Floodsmentioning

confidence: 99%

Integration of computational and experimental models for dam-break flood risk analysis

Viseu¹,

Almeida²,

Franco³

2014

Int. J. SAFE

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The knowledge of the maximum water depths associated with dam-break fl oods is crucial for the population early warning and evacuation plan design, minimizing the losses due to dam failures. This paper presents an experimental dam-break fl ood propagation study performed in a physical model and a two-dimensional numerical model suitable to simulate fl ow propagation on complex topography. First, the numerical model and the physical model of the River Arade valley, located in the south of Portugal (Algarve), are described. A comparison between computed results and measured data is undertaken and uncertainty in the numerical model predictions is analysed. In this paper, a physical model representing a real river valley stretch is used to validate a dam-break fl ood numerical model and to get information related to uncertainties in what concerns the prediction of the hazard (fl ood) propagation simulation. In fact, for such rare events as dam-break fl oods, the comparison between the results obtained in a physical model and by a numerical model is one of the best sources of uncertainty characterization.The physical model represents a reach of the River Arade valley, located in the south of Portugal. Experimental results refer to water depths measured during tests realized for both steady and unsteady fl ow regimes. The numerical model was developed for the simulation of two-dimensional dam-break fl ood waves in irregular topography valleys where the one-dimensional approach loses validity, such as in fl ood plains and where strong variation of the cross section or alignment occurs. It is based on a total variation diminishing (TVD) extension of the two-dimensional MacCormack method and in a scheme to ensure the capacity to simulate fl ows in domains with general irregular topography.

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Suitability of the diffusive model for dam break simulation: Application to a CADAM experiment

Cited by 55 publications

References 33 publications

Simulating the Influence of Buildings on Flood Inundation in Urban Areas

Simulating the Influence of Buildings on Flood Inundation in Urban Areas

Comparison of Different Grid Cell Ordering Approaches in a Simplified Inundation Model

Integration of computational and experimental models for dam-break flood risk analysis

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