IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i5p1955-d1346979.html
   My bibliography  Save this article

Physicochemical Properties and Planting Performance of Artificial Soil Developed from Multiple Coal-Based Solid Waste Materials

Author

Listed:
  • Libin Shu

    (College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China)

  • Hailong Wang

    (College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China
    Autonomous Region Collaborative Innovation Center for Integrated Water Resources and Water Environment Management in Inner Mongolia Section of Yellow River Basin, Hohhot 010018, China)

  • Xingxing He

    (State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China)

Abstract

Using coal-based solid waste (CSWM) to develop artificial soil (AS) can solve the shortage of planting soil in mine ecological restoration and realize the resource utilization of solid waste, which is a very promising research direction. This study used three common CSWM, coal gangue (CG), fly ash (FA), and desulfurization gypsum (DG), to prepare AS. The physicochemical properties of AS, such as bulk density, specific gravity, porosity, field water capacity, available nutrient content, pH value and EC value, were studied. Simultaneously, Elymus dahuricus was utilized in pot experiments to explore the planting performance of AS. Results show that, as the CG content decreased, the specific gravity of AS decreased, and the porosity increased. Both field capacity and saturation capacity demonstrated a notable upward trend. The results of pot experiments showed that plant growth was best when the CG content in AS was 80% and the FA and DG content was 20%. In comparison to the control group consisting of pure CG, the plant biomass in the optimal experimental group exhibited a significant increase of 20.48%. This study verified the feasibility of making AS by combining various CSWM, and provides a new pathway for ecological restoration and resource utilization in mines.

Suggested Citation

  • Libin Shu & Hailong Wang & Xingxing He, 2024. "Physicochemical Properties and Planting Performance of Artificial Soil Developed from Multiple Coal-Based Solid Waste Materials," Sustainability, MDPI, vol. 16(5), pages 1-16, February.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:5:p:1955-:d:1346979
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/5/1955/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/5/1955/
    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:16:y:2024:i:5:p:1955-:d:1346979. 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.