IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v110y2022i3d10.1007_s11069-021-05001-3.html
   My bibliography  Save this article

Problems related to single gully debris flow assessment models

Author

Listed:
  • Ying Yuan

    (Hebei Geo University
    Hebei GEO University)

  • Zhi Jie Ning

    (Hebei Geo University)

  • Zhao Hui Zuo

    (Hebei Geo University)

  • Ai Hong Zhou

    (Hebei Geo University
    Hebei GEO University)

  • Chao Liu

    (Hebei Geo University
    Hebei GEO University)

Abstract

In recent years, various models for single gully debris flow assessment have been proposed. Due to various factors affecting the mechanisms of debris flows, these models face many problems during the prediction process. Based on the debris flow data of Yunnan, Yellow River Jishixia Reservoir Area, Beichuan County of Sichuan Province, two typical debris flow evaluation models, gray relation analysis and support vector machine, are used as examples to investigate the problems of parameter selection, sample data imbalance, generalization ability, spatial variability of the debris flow system, and the sample size. Relevant solutions are given to provide guidance for the future application of various single gully debris flow assessment models.

Suggested Citation

  • Ying Yuan & Zhi Jie Ning & Zhao Hui Zuo & Ai Hong Zhou & Chao Liu, 2022. "Problems related to single gully debris flow assessment models," 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. 110(3), pages 1527-1544, February.
  • Handle: RePEc:spr:nathaz:v:110:y:2022:i:3:d:10.1007_s11069-021-05001-3
    DOI: 10.1007/s11069-021-05001-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-021-05001-3
    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/s11069-021-05001-3?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.

    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:110:y:2022:i:3:d:10.1007_s11069-021-05001-3. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.