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

Junlei Wang, Chunyu Dong, Sijing Sun, Liyuan Mu, Naiming Zhang and Li Bao ()
Additional contact information
Junlei Wang: College of Resources and Environment, Yunnan Agricultural University, Kunming 650201, China
Chunyu Dong: College of Resources and Environment, Yunnan Agricultural University, Kunming 650201, China
Sijing Sun: College of Resources and Environment, Yunnan Agricultural University, Kunming 650201, China
Liyuan Mu: College of Resources and Environment, Yunnan Agricultural University, Kunming 650201, China
Naiming Zhang: College of Resources and Environment, Yunnan Agricultural University, Kunming 650201, China
Li Bao: College of Resources and Environment, Yunnan Agricultural University, Kunming 650201, China

Sustainability, 2024, vol. 16, issue 23, 1-17

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.

Keywords: soil heavy metals; pollution characteristics; different matrices; relevance analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2071-1050/16/23/10338/pdf (application/pdf)
https://www.mdpi.com/2071-1050/16/23/10338/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:16:y:2024:i:23:p:10338-:d:1529836

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().