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

Author

Listed:
  • Qiang Liu
  • Yi Qin
  • Yang Zhang
  • Ziwen Li

Abstract

A coupled 1D–2D hydrodynamic model linking the channel and flood detention basin for flood simulation with complex topography and irregular boundary was presented in this paper. The 1D Saint-Venant equations were used for governing flows in channel, and the four-point implicit Preissmann scheme was used for discretization. To simulate floods in flood detention basin, the 2D shallow equations were adopted as governing equations, and a well-balanced, unstructured finite-volume method was proposed for the numerical resolution. The 2D model is based on a new formulation of the classical shallow water equations in hyperbolic conservation form. The numerical fluxes are computed by HLLC algorithm, and the MUSCL–Hancock predictor–corrector scheme is used to achieve high-accuracy and high-resolution results. A simple and efficient method was proposed to reflect the coupled hydraulic connection between the channel and the flood detention basin. The novelties of the proposed model include (1) a robust method for wetting/drying treatment and (2) an efficient way to link the 1D and 2D models. The 1D, 2D, and coupled models are all tested through some benchmark cases, and numerical results validated the accuracy of the models. Furthermore, the coupled 1D–2D model was used for a real flood simulation in Jiakouwa flood detention basin, China. The flood-risk information including flood arrival time and maximal water depth was mapped using GIS. Those flood-risk maps can be used as an important decision-making basis of flood control and rescue for the flood control departments at all levels. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Qiang Liu & Yi Qin & Yang Zhang & Ziwen Li, 2015. "A coupled 1D–2D hydrodynamic model for flood simulation in flood detention basin," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 1303-1325, January.
  • Handle: RePEc:spr:nathaz:v:75:y:2015:i:2:p:1303-1325
    DOI: 10.1007/s11069-014-1373-3
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    Citations

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    Cited by:

    1. G. Papaioannou & A. Loukas & L. Vasiliades & G. T. Aronica, 2016. "Flood inundation mapping sensitivity to riverine spatial resolution and modelling approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(1), pages 117-132, October.
    2. Anh Ngoc Thi Do, 2024. "Utilizing a fusion of remote sensing data and machine learning models to forecast flood risks to agriculture in Hanoi City, Vietnam," Letters in Spatial and Resource Sciences, Springer, vol. 17(1), pages 1-19, December.
    3. Fajar Yulianto & Muhammad Rokhis Khomarudin & Eddy Hermawan & Syarif Budhiman & Parwati Sofan & Galdita Aruba Chulafak & Nunung Puji Nugroho & Randy Prima Brahmantara & Gatot Nugroho & Suwarsono Suwar, 2023. "The development of the Raster-based Probability Flood Inundation Model (RProFIM) approach for flood modelling in the upstream Citarum Watershed, West Java, Indonesia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(2), pages 1887-1922, June.
    4. Daming Li & Shuo Chen & Zhu Zhen & Shilong Bu & Yanqing Li, 2021. "Coupling a 1D-local inertia 2D hydraulic model for flood dispatching simulation in a floodplain under joint control of multiple gates," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(2), pages 1801-1820, November.
    5. Yuk San Liew & Safari Mat Desa & Md. Nasir Md. Noh & Mou Leong Tan & Nor Azazi Zakaria & Chun Kiat Chang, 2021. "Assessing the Effectiveness of Mitigation Strategies for Flood Risk Reduction in the Segamat River Basin, Malaysia," Sustainability, MDPI, vol. 13(6), pages 1-23, March.

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