A coupled 1D–2D hydrodynamic model for flood simulation in flood detention basin

Liu, Qiang; Qin, Yi; Zhang, Yang; Li, Ziwen

doi:10.1007/s11069-014-1373-3

Cited by 72 publications

(38 citation statements)

References 13 publications

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“…Furthermore, two dimensional (2-D) hydrodynamic models have been applied in recent studies, due to improvements on model structure and on model parameter estimation methods (Cook and Merwade, 2009;Tsakiris and Bellos, 2014;Costabile and Macchione, 2015;Shen et al, 2015;Teng et al, 2017). Finally, the capabilities of coupled 1-D/2-D models in flood inundation modelling has gained large acceptance in the scientific community (Apel et al, 2009;Liu et al, 2015;Teng et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Probabilistic flood inundation mapping at ungauged streams due to roughness coefficient uncertainty in hydraulic modelling

et al. 2017

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Abstract. Probabilistic flood inundation mapping is performed and analysed at the ungauged Xerias stream reach, Volos, Greece. The study evaluates the uncertainty introduced by the roughness coefficient values on hydraulic models in flood inundation modelling and mapping. The wellestablished one-dimensional (1-D) hydraulic model, HEC-RAS is selected and linked to Monte-Carlo simulations of hydraulic roughness. Terrestrial Laser Scanner data have been used to produce a high quality DEM for input data uncertainty minimisation and to improve determination accuracy on stream channel topography required by the hydraulic model. Initial Manning's n roughness coefficient values are based on pebble count field surveys and empirical formulas. Various theoretical probability distributions are fitted and evaluated on their accuracy to represent the estimated roughness values. Finally, Latin Hypercube Sampling has been used for generation of different sets of Manning roughness values and flood inundation probability maps have been created with the use of Monte Carlo simulations. Historical flood extent data, from an extreme historical flash flood event, are used for validation of the method. The calibration process is based on a binary wet-dry reasoning with the use of Median Absolute Percentage Error evaluation metric. The results show that the proposed procedure supports probabilistic flood hazard mapping at ungauged rivers and provides water resources managers with valuable information for planning and implementing flood risk mitigation strategies.

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Section: Introductionmentioning

confidence: 99%

Probabilistic flood inundation mapping at ungauged streams due to roughness coefficient uncertainty in hydraulic modelling

et al. 2017

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“…In this paper, a nodal water depth-based method is used for classification. When a nodal depth is greater than 10 −3 m [4], the node would be classified as a wet-node; otherwise, the node would be classified as a dry-node. Based on the nodal wet/dry classification, a wet-cell is defined as that in which all three nodes of the cell are wetted; and if one or more nodes of a cell are dry, the cell is classified as a dry-cell.…”

Section: Methodsmentioning

confidence: 99%

“…In recent years, the shallow water model has been widely researched and used for flood simulations [1][2][3][4][5][6]. Song et al [1] proposed a robust and well-balanced finite volume model by using a new formulation of shallow water equations.…”

Section: Introductionmentioning

confidence: 99%

“…Wu et al [3] presented a two-dimensional, well-balanced shallow water model for simulating flows over arbitrary topography with wetting and drying. Liu et al [4] proposed a coupled 1D-2D hydrodynamic model for flood risk mapping. Rehman and Cho [5] proposed a robust method of slope source term treatment for modeling shallow-water flows and near-shore tsunami propagation.…”

Section: Introductionmentioning

confidence: 99%

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Fast Simulation of Large-Scale Floods Based on GPU Parallel Computing

Liu

Qin

2018

Water

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Abstract:Computing speed is a significant issue of large-scale flood simulations for real-time response to disaster prevention and mitigation. Even today, most of the large-scale flood simulations are generally run on supercomputers due to the massive amounts of data and computations necessary. In this work, a two-dimensional shallow water model based on an unstructured Godunov-type finite volume scheme was proposed for flood simulation. To realize a fast simulation of large-scale floods on a personal computer, a Graphics Processing Unit (GPU)-based, high-performance computing method using the OpenACC application was adopted to parallelize the shallow water model. An unstructured data management method was presented to control the data transportation between the GPU and CPU (Central Processing Unit) with minimum overhead, and then both computation and data were offloaded from the CPU to the GPU, which exploited the computational capability of the GPU as much as possible. The parallel model was validated using various benchmarks and real-world case studies. The results demonstrate that speed-ups of up to one order of magnitude can be achieved in comparison with the serial model. The proposed parallel model provides a fast and reliable tool with which to quickly assess flood hazards in large-scale areas and, thus, has a bright application prospect for dynamic inundation risk identification and disaster assessment.

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“…Compared with the pure 2D model, the coupled model not only maintains accuracy, but also dramatically decreases the computational time [8][9][10]. Most of coupled models use the 1D model in the river channel and 2D model in the floodplain to solve the river flood problem [2][3][4][5][11][12][13][14]. The other coupled models simulate urban drainage pipe network and river by 1D model and urban area by 2D model to solve the urban rain-flood problem [1,6,15,16].…”

Section: Introductionmentioning

confidence: 99%

Experimental and Numerical Investigation of River Closure Project

Lin

Jin

et al. 2020

Water

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The success or failure of river closure is directly related to the construction period and project benefit. Therefore, it is very necessary to study the river closure by an appropriate method. In this paper, a 1D–2D coupled river closure model is established to optimize the closure flow rate, closure period, and layout of a real closure project. The 1D transition model between open channel flow and pressurized flow is established by a finite volume scheme. For the 2D model, 2D shallow water equations are solved using an unstructured finite volume scheme. The 1D model and 2D model are coupled by considering the mass and momentum conservation. To validate the model, a physical experiment of a real river closure project is set up according to the gravity similarity criterion with a scale of 1:80. Then, the experimental data obtained by the calibrated physical experiment is compared with the numerical results. Good agreements are achieved in terms of surface elevation, velocity, and flow rate. Finally, the real river closure project is further investigated by the model. The layout, closure flow rate and closure period of this project is analyzed and optimized. The original design of the berm is more suitable to discharge the flow. Moreover, the first stage cofferdam should be removed to floor elevation upstream and downstream of the dam. The river closure flow rate should not exceed 2380 m3/s.

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A coupled 1D–2D hydrodynamic model for flood simulation in flood detention basin

Cited by 72 publications

References 13 publications

Probabilistic flood inundation mapping at ungauged streams due to roughness coefficient uncertainty in hydraulic modelling

Probabilistic flood inundation mapping at ungauged streams due to roughness coefficient uncertainty in hydraulic modelling

Fast Simulation of Large-Scale Floods Based on GPU Parallel Computing

Experimental and Numerical Investigation of River Closure Project

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