IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v38y2024i7d10.1007_s11269-024-03790-3.html
   My bibliography  Save this article

Slope Stability Analysis under Heavy Rainfall Conditions Based on a Modified Green-Ampt Model

Author

Listed:
  • Yunxin Zheng

    (Chang’an University)

  • Zhiping Hu

    (Chang’an University)

  • Rui Wang

    (Chang’an University)

  • Xin Wen

    (Xi’an Shiyou University)

  • Xiang Ren

    (Chang’an University)

  • Rui Pan

    (Chang’an University)

Abstract

The analysis of rainwater infiltration is crucial for the prevention and early detection of rainfall-induced landslides. Under the assumption of saturated-unsaturated stratification, and considering the influence of saturated layer seepage and air pressure on infiltration, a modified Green-Ampt model (SRGA model) suitable for slope rainfall infiltration is established. A corresponding slope safety factor expression is derived for the model. The results show that the SRGA is demonstrated to accurately describe dynamic expansion of the wetting layer throughout the heavy rainfall infiltration process; it is also applicable under weaker rainfall conditions. Validation against experimental data confirms the model’s accuracy, with an error of approximately 21% compared to Chen-Young’s model. The instability time predicted with the SRGA model during the slope stability analysis emerges approximately 7.2% earlier than measured, significantly outperforming Chen-Young’s model. Air pressure and seepage force influence infiltration depth through different mechanisms. The influence of air pressure is more significant in the early control stage of soil infiltration capacity, while seepage force is more significant in the later stage. Rainfall infiltration is affected by slope length to greater extent than slope stability. The SRGA model is versatile, and can be simplified into existing models under certain conditions. The results of this work may provide theoretical support for slope control under rainfall infiltration conditions.

Suggested Citation

  • Yunxin Zheng & Zhiping Hu & Rui Wang & Xin Wen & Xiang Ren & Rui Pan, 2024. "Slope Stability Analysis under Heavy Rainfall Conditions Based on a Modified Green-Ampt Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(7), pages 2627-2646, May.
  • Handle: RePEc:spr:waterr:v:38:y:2024:i:7:d:10.1007_s11269-024-03790-3
    DOI: 10.1007/s11269-024-03790-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-024-03790-3
    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/s11269-024-03790-3?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:waterr:v:38:y:2024:i:7:d:10.1007_s11269-024-03790-3. 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.