IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i23p10338-d1529836.html
   My bibliography  Save this article

Characteristics and Correlation Analysis of the Spatial Distribution of Heavy Metals in Arable Soils with Different Soil-Forming Matrices

Author

Listed:
  • Junlei Wang

    (College of Resources and Environment, Yunnan Agricultural University, Kunming 650201, China
    Yunnan Laboratory of Improvement of Soil Fertility and Pollution Remediation, Kunming 650201, China)

  • Chunyu Dong

    (College of Resources and Environment, Yunnan Agricultural University, Kunming 650201, China
    Yunnan Laboratory of Improvement of Soil Fertility and Pollution Remediation, Kunming 650201, China)

  • Sijing Sun

    (College of Resources and Environment, Yunnan Agricultural University, Kunming 650201, China
    Yunnan Laboratory of Improvement of Soil Fertility and Pollution Remediation, Kunming 650201, China)

  • Liyuan Mu

    (College of Resources and Environment, Yunnan Agricultural University, Kunming 650201, China
    Yunnan Laboratory of Improvement of Soil Fertility and Pollution Remediation, Kunming 650201, China)

  • Naiming Zhang

    (College of Resources and Environment, Yunnan Agricultural University, Kunming 650201, China
    Yunnan Laboratory of Improvement of Soil Fertility and Pollution Remediation, Kunming 650201, China)

  • Li Bao

    (College of Resources and Environment, Yunnan Agricultural University, Kunming 650201, China
    Yunnan Laboratory of Improvement of Soil Fertility and Pollution Remediation, Kunming 650201, China)

Abstract

The problem of the contamination of soils with high background values of heavy metals has attracted increasing attention. In this paper, the contents, spatial distribution characteristics and correlations of five heavy metals in seven types of arable soils with different soil-forming matrices were analyzed by using Kriging spatial interpolation, descriptive statistics and correlation analysis to clarify the spatial distribution of heavy metals in different soil-forming matrices, and to explore the influence of parent rocks on the spatial distribution and concentration of heavy metals. The results showed that the Cd contents of the seven soil-forming parent materials exceeded the background values recorded for soils in Yunnan Province and that metamorphic rocks such as mudstone, argillaceous rock, purple rock, and carbonate rock exceeded the risk screening values. The average Pb, Cu, and As contents were lower than the background values recorded for soils in Yunnan Province and smaller than the risk screening values for agricultural land. Carbonate areas have a large area of contamination, while metamorphic mudstone areas have a relatively small percentage of contamination. The correlations of heavy metals in different soil-forming matrices varies, and the source of each element and its correlation can be further analyzed and verified by means such as the source analysis method. The results of this study are crucial for pollution prevention and the analysis of the source of heavy metal soil contamination.

Suggested Citation

  • Junlei Wang & Chunyu Dong & Sijing Sun & Liyuan Mu & Naiming Zhang & Li Bao, 2024. "Characteristics and Correlation Analysis of the Spatial Distribution of Heavy Metals in Arable Soils with Different Soil-Forming Matrices," Sustainability, MDPI, vol. 16(23), pages 1-17, November.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:23:p:10338-:d:1529836
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/23/10338/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/23/10338/
    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:23:p:10338-:d:1529836. 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.