Author
Listed:
- Huailiang Yu
(Ministry of Education Key Laboratory of Oasis Ecology, College of Ecology and Environment, Xinjiang University, Urumqi 830017, China
Xinjiang Key Laboratory of New Energy Materials and Green Chemical Engineering, College of Chemistry and Environmental Engineering, Xinjiang Institute of Engineering, Urumqi 830023, China)
- Ümüt Halik
(Ministry of Education Key Laboratory of Oasis Ecology, College of Ecology and Environment, Xinjiang University, Urumqi 830017, China)
- Shuai Chen
(Xinjiang Key Laboratory of New Energy Materials and Green Chemical Engineering, College of Chemistry and Environmental Engineering, Xinjiang Institute of Engineering, Urumqi 830023, China)
- Xuezhu Zhang
(Xinjiang Key Laboratory of New Energy Materials and Green Chemical Engineering, College of Chemistry and Environmental Engineering, Xinjiang Institute of Engineering, Urumqi 830023, China)
- Amannisa Kuerban
(Ministry of Education Key Laboratory of Oasis Ecology, College of Ecology and Environment, Xinjiang University, Urumqi 830017, China)
- Eliyar Anwar
(Ministry of Education Key Laboratory of Oasis Ecology, College of Ecology and Environment, Xinjiang University, Urumqi 830017, China)
- Yinyou Deng
(Xinjiang Key Laboratory of New Energy Materials and Green Chemical Engineering, College of Chemistry and Environmental Engineering, Xinjiang Institute of Engineering, Urumqi 830023, China)
Abstract
Heavy metal pollution poses a significant threat to industrial and agricultural ecosystems; however, thorough research on the coupled risks and migration mechanisms of heavy metals within soil-groundwater systems in arid-region industrial parks remains limited. This study systematically collected 312 surface soil samples and 239 groundwater samples from typical chemical industrial parks in Xinjiang, northwestern China. The pollution levels of six typical heavy metals (Cd, Cr, Cu, Ni, Pb, and Zn) were quantitatively evaluated utilizing the Single Pollution Index (P i ), Nemerow Pollution Index (P N ), and Potential Ecological Risk Index (RI) for soil and the improved Heavy Metal Contamination Index (HCI) for groundwater. Additionally, GIS mapping and the Positive Matrix Factorization (PMF) model were integrated to delineate spatial distributions and primary emission sources. The assessment results indicated overall moderate pollution risks for Cd, Cu, and Ni in the soil, and for Cd, Pb, Cr, and Ni in the groundwater. Notably, Cd emerged as the primary risk contributor across both media. The RI identified Cd as the element posing the highest soil toxicity risk (with a mean RI of 53.57), while the HCI revealed that specific industrial zones face severe contamination levels (HCI > 4500), predominantly driven by Cd and Pb. GIS analysis illustrated a distinct distance–decay diffusion pattern emanating from industrial point sources. Crucially, PMF source apportionment demonstrated divergent contamination pathways: surface soil heavy metals (e.g., Cr, Cu, Pb, Zn) were primarily governed by top-down local industrial emissions (52.5%), whereas groundwater contamination was largely dictated by regional groundwater flow carrying mixed agricultural and natural geogenic inputs (75%). Furthermore, Pearson correlation analysis revealed a prevalent weak or negative correlation between heavy metal concentrations in the two media, suggesting a spatial “decoupling” of their contamination pathways. This phenomenon is likely driven by a dynamic “retention-leaching” mechanism within the arid vadose zone, where alkaline pH and high clay content act as a hydrochemical barrier impeding vertical migration. These findings underscore that soil and groundwater in arid industrial regions should be managed as distinct hydrochemical systems, providing a robust scientific basis for targeted remediation and the sustainable redevelopment of industrial brownfields.
Suggested Citation
Huailiang Yu & Ümüt Halik & Shuai Chen & Xuezhu Zhang & Amannisa Kuerban & Eliyar Anwar & Yinyou Deng, 2026.
"Spatial Distributions, Source, and Coupled Risks of Heavy Metals in Soil-Groundwater Systems of Typical Chemical Industrial Parks, Xinjiang/NW, China,"
Sustainability, MDPI, vol. 18(13), pages 1-26, June.
Handle:
RePEc:gam:jsusta:v:18:y:2026:i:13:p:6549-:d:1977401
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