IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v109y2021i2d10.1007_s11069-021-04899-z.html
   My bibliography  Save this article

Coupling a 1D-local inertia 2D hydraulic model for flood dispatching simulation in a floodplain under joint control of multiple gates

Author

Listed:
  • Daming Li

    (Tianjin University)

  • Shuo Chen

    (Tianjin University)

  • Zhu Zhen

    (Tianjin University)

  • Shilong Bu

    (Tianjin University)

  • Yanqing Li

    (Ministry of Ecology and Environment of People’s Republic of China)

Abstract

A 2D local inertial equations model coupled with a 1D hydraulic model was established to simulate flood dispatching in river and flood detention areas. A simplified first-order accuracy finite volume method (FVM) solution was applied to the 2D model, and the source-type linking method was used at the coupling zones. The coupled model was calibrated by the historical flood process in the Daqing River basin, satisfactory agreements were obtained at the gauge points, and the flood arrival time was consistent with the recorded data. A flood dispatching simulation in the scenario of joint control of multiple gates was then performed. The operation sequence of the corresponding gates and the flood routing in each sub-basin were consistent with the dispatch rules. The convergence analysis based on the grid scale and convective acceleration terms was presented. The results indicated that a refined grid-scale yields better accuracy of the numerical solution, but this improvement is constrained by the resolution of the digital elevation model (DEM). In the lower range of Fr, the results of the hydraulic variables and the flood behaviours obtained by the local inertial equations model are identical to those of the full shallow-water equations (SWEs) model, which suggests that the approximation based on neglecting the convective acceleration terms is reasonable for the practical case of low velocity combined with an insignificant depth gradient.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:nathaz:v:109:y:2021:i:2:d:10.1007_s11069-021-04899-z
    DOI: 10.1007/s11069-021-04899-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-021-04899-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11069-021-04899-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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. 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.
    3. 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.
    4. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:109:y:2021:i:2:d:10.1007_s11069-021-04899-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.