IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v115y2023i3d10.1007_s11069-022-05649-5.html
   My bibliography  Save this article

Landslide-tsunami prediction in narrow reservoirs involving reflection

Author

Listed:
  • Jizhixian Liu

    (China University of Geosciences
    University of Nottingham)

  • Yang Wang

    (China University of Geosciences)

  • Kunlong Yin

    (China University of Geosciences)

  • Lixing Wu

    (China University of Geosciences)

  • LongFei Zhang

    (China University of Geosciences)

Abstract

Subaerial landslide-tsunamis (SLTs) are generated by mass movements impacting into water bodies such as lakes, reservoirs or oceans. A recent SLT was the 2003 Qianjiangping event in the Three Gorges Reservoir resulting in 11 missing fishermen. Preliminary hazard assessments of SLTs relay on investigations in wave flumes (2D) with longitudinal wave propagation and basins (3D) with radially propagating waves. This study focuses on lateral slide impact into narrow reservoirs for which available empirical equations for the maximum wave amplitude am or height Hm based on 2D or 3D studies alone are unlikely to result in accurate predictions. A 3D-2D method has recently been proposed to calculate the decay of am and Hm in such geometries, i.e. 3D approaches are used for the slide impact region followed by 2D approaches for the far field. This study aims to verify this 3D-2D method and to estimate wave decays in narrow reservoirs, involving reflections, based on 115 laboratory experiments. New empirical equations for the decay of am and Hm in the 3D region (with wave propagation distance r ≤ wr, with wr as the reservoir width) are proposed. It is then verified that this 3D-2D method is feasible for predicting wave attenuation in narrow reservoirs. The suitability of available equations are discussed and the present equations are successfully used to predict a past SLT with a deviation of 19.9%. The present study reveals that the new empirical equations are the most suitable to be applied in this 3D-2D method to support preliminary SLT hazard assessment.

Suggested Citation

  • Jizhixian Liu & Yang Wang & Kunlong Yin & Lixing Wu & LongFei Zhang, 2023. "Landslide-tsunami prediction in narrow reservoirs involving reflection," 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. 115(3), pages 2457-2482, February.
  • Handle: RePEc:spr:nathaz:v:115:y:2023:i:3:d:10.1007_s11069-022-05649-5
    DOI: 10.1007/s11069-022-05649-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-022-05649-5
    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/s11069-022-05649-5?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. F. Montagna & G. Bellotti & M. Di Risio, 2011. "3D numerical modeling of landslide-generated tsunamis around a conical island," 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. 58(1), pages 591-608, July.
    2. Filippo Zaniboni & Stefano Tinti, 2014. "Numerical simulations of the 1963 Vajont landslide, Italy: application of 1D Lagrangian modelling," 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. 70(1), pages 567-592, 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. Zitti & C. Ancey & M. Postacchini & M. Brocchini, 2017. "Snow avalanches striking water basins: behaviour of the avalanche’s centre of mass and front," 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. 88(3), pages 1297-1323, September.
    2. Filippo Zaniboni & Alberto Armigliato & Stefano Tinti, 2016. "A numerical investigation of the 1783 landslide-induced catastrophic tsunami in Scilla, Italy," 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. 84(2), pages 455-470, November.
    3. Ruirui Sun & Xiaoling Wang & Zhengyin Zhou & Xuefei Ao & Xiaopei Sun & Mingrui Song, 2014. "Study of the comprehensive risk analysis of dam-break flooding based on the numerical simulation of flood routing. Part I: model development," 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. 73(3), pages 1547-1568, September.

    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:115:y:2023:i:3:d:10.1007_s11069-022-05649-5. 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.