IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v117y2023i3d10.1007_s11069-023-05956-5.html
   My bibliography  Save this article

Numerical simulation of rainfall-induced debris flow in the Hongchun gully based on the coupling of the LHT model and the Pudasaini model

Author

Listed:
  • Huaqiang Yin

    (Chengdu University of Technology)

  • Wei Zhou

    (Chengdu University of Technology)

  • Zhangqiang Peng

    (Chengdu University of Technology)

Abstract

Numerical simulation is an important approach to reproduce debris flow and can help in predicting and assessing the risks of debris flow. In this paper, the landslide hydrodynamic triggering (LHT) model and the Pudasaini model are adopted to simulate the dynamic process of debris flow. The LHT model can reflect the dynamic volume change of shallow landslides due to precipitation and determine the starting location and the starting volume of the debris flow. The Pudasaini model calculates the volume change of the debris flow in the motion process depending on the initial and boundary conditions. The debris flow event that occurred on August 14, 2010, in the Hongchun gully was chosen as an example. The simulation results indicated that the maximum change in landslide volume occurred near 3:00 on the 14th, which corresponds to the actual start time of debris flow. The area and the volume of the predicted deposition zone are slightly greater than the observed values. The high global precision indicates that the simulation is reliable and appropriate for the observation. This means that linking the LHT model to the Pudasaini model can simulate formation, motion, and deposition process of giant debris flow in the Hongchun gully. This is an efficient method for simulating debris flow under rainfall conditions.

Suggested Citation

  • Huaqiang Yin & Wei Zhou & Zhangqiang Peng, 2023. "Numerical simulation of rainfall-induced debris flow in the Hongchun gully based on the coupling of the LHT model and the Pudasaini model," 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(3), pages 2553-2572, July.
    • Handle: RePEc:spr:nathaz:v:117:y:2023:i:3:d:10.1007_s11069-023-05956-5
    DOI: 10.1007/s11069-023-05956-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-023-05956-5
    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/s11069-023-05956-5?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. Aditi Singh & Shilpa Pal & D. P. Kanungo, 2021. "An integrated approach for landslide susceptibility–vulnerability–risk assessment of building infrastructures in hilly regions of India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 5058-5095, April.
    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.

      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:117:y:2023:i:3:d:10.1007_s11069-023-05956-5. 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.