IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i13p10459-d1185742.html
   My bibliography  Save this article

An Experimental Approach to Investigating Quasi-Saturation Using Darcy’s Law

Author

Listed:
  • Zafar Avzalshoev

    (Graduate School of Science and Engineering, Saitama University, Saitama 338-8570, Japan)

  • Taro Uchimura

    (Graduate School of Science and Engineering, Saitama University, Saitama 338-8570, Japan)

Abstract

Recent trends in abnormal weather patterns leading to sudden and localized heavy rainfall have resulted in an increased frequency of surface landslides. As a result, there is a pressing need for improved prediction and early warning systems. This research focuses on understanding soil behavior under quasi-saturation and elucidating its relationship with pore water pressure and the hydraulic head. In the present study, a mathematical model is formulated to characterize the complex dynamics of quasi-saturation based on established principles. The model demonstrates the correlation between volumetric water content and pore water pressure, considering the influence of the hydraulic gradient. Through two comprehensive model tests, empirical data are generated that highlight the intricate factors influencing quasi-saturation. The findings of this study emphasize the complex interrelationship between volumetric water content, pore water pressure, and the hydraulic head. It is worth noting that under quasi-saturation conditions, the volumetric water content may stabilize over time, indicating an equilibrium between water flow rates driven by the hydraulic gradient and pore water pressure. The present study offers new insights into soil moisture dynamics and lays the foundation for advancements in landslide prediction and mitigation strategies.

Suggested Citation

  • Zafar Avzalshoev & Taro Uchimura, 2023. "An Experimental Approach to Investigating Quasi-Saturation Using Darcy’s Law," Sustainability, MDPI, vol. 15(13), pages 1-14, July.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10459-:d:1185742
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/13/10459/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/13/10459/
    Download Restriction: no
    ---><---

    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:gam:jsusta:v:15:y:2023:i:13:p:10459-:d:1185742. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.