IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v118y2023i2d10.1007_s11069-023-06050-6.html
   My bibliography  Save this article

Prediction of landslide hazards induced by potential earthquake in Litang County, Sichuan, China

Author

Listed:
  • Jingjing Jing

    (Nanjing Tech University
    Jiangsu Open University)

  • Zhijian Wu

    (Nanjing Tech University)

  • Chengxin Chu

    (Nanjing Tech University)

  • Wanpeng Ding

    (Nanjing Tech University)

  • Wei Ma

    (Nanjing Tech University)

Abstract

The assessment of earthquake-induced landslide hazards is an important prerequisite for disaster prevention and reduction in tectonic active areas. However, few studies have considered the amplification effect of site and topography on ground motion parameters and made the peak ground acceleration (PGA) correction. Based on Newmark's method, taking Litang County, Sichuan Province, China, as the study area, considering the site amplification effect and topographic amplification effect, this paper carried out the assessment of landslide hazards under the action of occasional earthquakes with an exceedance probability of 10% and rare earthquakes with an exceedance probability of 2%. The results show that the hazard of earthquake-induced landslides is higher in the high slopes of loose rock in the middle of Litang County and the steep rock slopes with large topographic relief in the northeast, and low in the southern plateau and central basins. The site and topographic conditions have a significant effect on the nonlinear amplification of PGA, and the corrected PGA is even magnified by 2–3 times in steep mountains. Compared with the occasional earthquakes, the influence of rare earthquakes on the initiation and movement distance of landslides is remarkably improved. This study can provide a valuable reference for potential earthquake-induced landslide hazard assessment and seismic landslide emergency response in Litang County.

Suggested Citation

  • Jingjing Jing & Zhijian Wu & Chengxin Chu & Wanpeng Ding & Wei Ma, 2023. "Prediction of landslide hazards induced by potential earthquake in Litang County, Sichuan, China," 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. 118(2), pages 1301-1314, September.
    • Handle: RePEc:spr:nathaz:v:118:y:2023:i:2:d:10.1007_s11069-023-06050-6
    DOI: 10.1007/s11069-023-06050-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-023-06050-6
    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/s11069-023-06050-6?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. R. Sivakumar & Snehasish Ghosh, 2021. "Assessment of the influence of physical and seismotectonic parameters on landslide occurrence: an integrated geoinformatic 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. 108(3), pages 2765-2811, September.
    2. M. F. Ferrario, 2019. "Landslides triggered by multiple earthquakes: insights from the 2018 Lombok (Indonesia) events," 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. 98(2), pages 575-592, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kunal Gupta & Neelima Satyam, 2024. "Optimizing seismic hazard inputs for co-seismic landslide susceptibility mapping: a probabilistic analysis," 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. 120(9), pages 8459-8481, July.

    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. Changhu Xue & Kejie Chen & Hui Tang & Chaoqi Lin & Wenfeng Cui, 2022. "Using short-interval landslide inventories to build short-term and overall spatial prediction models for earthquake-triggered landslides based on machine learning for the 2018 Lombok earthquake sequen," 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. 114(3), pages 3575-3595, December.
    2. Yang Xinglong & Dong Jinyu & Liu Handong & Bian Shuokang, 2024. "Seismic dynamic response characteristics and failure mechanisms of an accumulation body slope," 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. 120(9), pages 8239-8261, July.
    3. Endra Gunawan & Ruth Amey & John Elliott & Sri Widiyantoro & Nanang T. Puspito & Nuraini Rahma Hanifa & Syamsuddin & Ekbal Hussain, 2023. "Coseismic deformation of the 19 August 2018 Mw 7.2 Lombok earthquakes, Indonesia, estimated through InSAR and GPS observations," 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. 119(1), pages 545-558, October.

    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:118:y:2023:i:2:d:10.1007_s11069-023-06050-6. 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.