Research on Risk Assessment and Contamination Monitoring of Potential Toxic Elements in Mining Soils

Jie Yang, Yunlong Wang, Rui Zuo (), Kunfeng Zhang, Chunxing Li, Quanwei Song and Xianyuan Du
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Jie Yang: State Key Laboratory of Petroleum Pollution Control, Beijing 102206, China
Yunlong Wang: College of Water Sciences, Beijing Normal University, Beijing 100875, China
Rui Zuo: College of Water Sciences, Beijing Normal University, Beijing 100875, China
Kunfeng Zhang: State Key Laboratory of Petroleum Pollution Control, Beijing 102206, China
Chunxing Li: State Key Laboratory of Petroleum Pollution Control, Beijing 102206, China
Quanwei Song: State Key Laboratory of Petroleum Pollution Control, Beijing 102206, China
Xianyuan Du: State Key Laboratory of Petroleum Pollution Control, Beijing 102206, China

IJERPH, 2023, vol. 20, issue 4, 1-21

Abstract: Potentially toxic element (PTE) contamination in soils has serious impacts on ecosystems. However, there is no consensus in the field of assessment and monitoring of contaminated sites in China. In this paper, a risk assessment and pollution monitoring method for PTEs was proposed and applied to a mining site containing As, Cd, Sb, Pb, Hg, Ni, Cr, V, Zn, Tl, and Cu. The comprehensive scoring method and analytical hierarchical process were used to screen the priority PTEs for monitoring. The potential ecological risk index method was used to calculate the risk index of monitoring point. The spatial distribution characteristics were determined using semi-variance analysis. The spatial distribution of PTEs was predicted using ordinary kriging (OK) and radial basis function (RBF). The results showed that the spatial distribution of As, Pd, and Cd are mainly influenced by natural factors, while Sb and RI are influenced by both natural and human factors. OK has higher spatial prediction accuracy for Sb and Pb, and RBF has higher prediction accuracy for As, Cd, and RI. The areas with high ecological risk and above are mainly distributed on both sides of the creek and road. The optimized long-term monitoring sites can achieve the monitoring of multiple PTEs.

Keywords: potentially toxic elements; risk assessment; analytical hierarchy; potential ecological risk index; ordinary kriging; radial basis function (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
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