IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i19p14263-d1248636.html
   My bibliography  Save this article

Feasibility Assessment of a Magnetic Layer Detection Method for Field Applications

Author

Listed:
  • Chenhui Li

    (College of Resources and Environment, Northwest A & F University, Yangling 712100, China)

  • Liang Liu

    (Co-Innovation Center for Sustainable Forestry in Southern China, Key Laboratory of Soil and Water Conservation and Ecological Restoration of Jiangsu Province, College of Forestry, Nanjing Forestry University, Nanjing 210037, China)

  • Mingbin Huang

    (State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A & F University, Yangling 712100, China)

  • Yafang Shi

    (School of Horticulture Landscape Architecture, Henan Institute of Science & Technology, Xinxiang 453000, China)

Abstract

The lack of current data on the spatial distribution of soil erosion hinders the ability to predict soil erosion on slopes. To address this problem, we present a simple and sensitive soil erosion measurement method called the magnetic layer detection (MLD) method. This method can measure the changes in soil layer thickness (SLT) at a site featuring a pre-buried magnetic layer (ML) using the relationship between magnetic susceptibility and soil thickness, and then use this information to determine the erosion or accumulation at that point. To verify the adaptability and accuracy of this method, we designed three field tests. First, we conducted a simulated sediment siltation experiment using the erosion pin (EP) method as the control. This experiment demonstrated the accuracy of the MLD method for measuring SLT ( R a d 2 = 0.97, NSE = 88.14%, and RMSE = 1.17 mm). Next, a simulated rainfall experiment with the runoff plot (RP) method as a control was used to demonstrate the effectiveness of the MLD method under water erosion. The results demonstrated that this method can reliably estimate soil erosion on both bare plots ( R a d 2 = 0.83, NSE = 71.78%, and RMSE = 0.56 mm) and sparse grass plots ( R a d 2 = 0.90, NSE = 81.77%, and RMSE = 0.25 mm), with performance that is better than that of the traditional EP method. Finally, a soil scouring experiment, again with the RP method as a control, was designed to verify whether the MLD method could accurately measure the erosion of a slope after the soil was scoured by surface runoff. The MLD method could accurately measure the slope erosion ( R a d 2 = 0.91, NSE = 89.55%, and RMSE = 0.42 mm), with results superior to those of the traditional EP method. The MLD method’s results were similar to those from the laser scanner (LS) method, but more accurate and with less associated cost and data processing time. Therefore, the MLD method has potential as a reliable measurement method that can provide useful guidance for elucidating the spatial distribution of soil erosion and predicting slope soil erosion. This approach could be used to obtain raw data to quantify soil erosion on the Loess Plateau of China and beyond.

Suggested Citation

  • Chenhui Li & Liang Liu & Mingbin Huang & Yafang Shi, 2023. "Feasibility Assessment of a Magnetic Layer Detection Method for Field Applications," Sustainability, MDPI, vol. 15(19), pages 1-16, September.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14263-:d:1248636
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/19/14263/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/19/14263/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhao, Xiaofang & Huang, Mingbin & Yan, Xiaoying & Yang, Yingnan, 2022. "The impacts of climate change and cropping systems on soil water recovery in the 0–1500 cm soil profile after alfalfa," Agricultural Water Management, Elsevier, vol. 272(C).
    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.

      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:19:p:14263-:d:1248636. 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: 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.