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Spatiotemporal patterns of soil heavy metal pollution risk and driving forces of increment in a typical industrialized region in central China.
Environ Sci Process Impacts. 2023 Mar 22; 25(3):554-565.ES

Abstract

Excessive enrichment of soil heavy metals seriously damages human health and soil environment. Exploring the spatiotemporal patterns and detecting the influencing factors are conducive to developing targeted risk management and control. Based on the soil samples of Co, Cr, Cu, Mn, Ni, Pb, Zn, and Cd collected in one typical industrialized region in China from 2016 to 2019, this study analyzed the spatiotemporal pattern of geo-accumulation risk and potential ecological risk based on the spatiotemporal ordinary kriging (STOK) prediction, and probed the driving forces of heavy metal increments with the random forest (RF) regression model. The risk assessment revealed that soils were seriously contaminated by Pb, Cd, and Cu, moderately contaminated by Zn and Mn, and uncontaminated by Co, Cr, and Ni; more than 30% of areas had moderate to high potential ecological risks. From 2016 to 2019, soil heavy metal contents increased in more than 50% of regions and the growth rates of accumulations were ranked as Co (65%) > Ni (56%) > Mn (43%) > Pb (40%) > Cr (36%) > Zn (31%) > Cu (23%) > Cd (3%). High contents and increases of heavy metals in soils near industrial lands are higher. Smelter (24%), mine (20%), and factory (12%) were the major contributing factors for these heavy metal increments, followed by transportation (6%) and population (5%). The results indicated that the management of industrial discharge and contaminated soils should be strengthened to prevent the worsening soil heavy metal pollution in the study area.

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Authors+Show Affiliations

Yang X
College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China. Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of the Yangtze River), Ministry of Agriculture, China. Hubei Key Laboratory of Soil Environment and Pollution Remediation, Wuhan, China.
Yang Y
College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China. Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of the Yangtze River), Ministry of Agriculture, China. Hubei Key Laboratory of Soil Environment and Pollution Remediation, Wuhan, China.

MeSH

HumansEnvironmental MonitoringCadmiumLeadSoil PollutantsMetals, HeavyChinaIndustrial WasteRisk AssessmentSoil

Pub Type(s)

Journal Article

Language

eng

PubMed ID

36723365

Citation

Yang, Xue, and Yong Yang. "Spatiotemporal Patterns of Soil Heavy Metal Pollution Risk and Driving Forces of Increment in a Typical Industrialized Region in Central China." Environmental Science. Processes & Impacts, vol. 25, no. 3, 2023, pp. 554-565.
Yang X, Yang Y. Spatiotemporal patterns of soil heavy metal pollution risk and driving forces of increment in a typical industrialized region in central China. Environ Sci Process Impacts. 2023;25(3):554-565.
Yang, X., & Yang, Y. (2023). Spatiotemporal patterns of soil heavy metal pollution risk and driving forces of increment in a typical industrialized region in central China. Environmental Science. Processes & Impacts, 25(3), 554-565. https://doi.org/10.1039/d2em00487a
Yang X, Yang Y. Spatiotemporal Patterns of Soil Heavy Metal Pollution Risk and Driving Forces of Increment in a Typical Industrialized Region in Central China. Environ Sci Process Impacts. 2023 Mar 22;25(3):554-565. PubMed PMID: 36723365.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Spatiotemporal patterns of soil heavy metal pollution risk and driving forces of increment in a typical industrialized region in central China. AU - Yang,Xue, AU - Yang,Yong, Y1 - 2023/03/22/ PY - 2023/2/2/pubmed PY - 2023/2/2/medline PY - 2023/2/1/entrez SP - 554 EP - 565 JF - Environmental science. Processes & impacts JO - Environ Sci Process Impacts VL - 25 IS - 3 N2 - Excessive enrichment of soil heavy metals seriously damages human health and soil environment. Exploring the spatiotemporal patterns and detecting the influencing factors are conducive to developing targeted risk management and control. Based on the soil samples of Co, Cr, Cu, Mn, Ni, Pb, Zn, and Cd collected in one typical industrialized region in China from 2016 to 2019, this study analyzed the spatiotemporal pattern of geo-accumulation risk and potential ecological risk based on the spatiotemporal ordinary kriging (STOK) prediction, and probed the driving forces of heavy metal increments with the random forest (RF) regression model. The risk assessment revealed that soils were seriously contaminated by Pb, Cd, and Cu, moderately contaminated by Zn and Mn, and uncontaminated by Co, Cr, and Ni; more than 30% of areas had moderate to high potential ecological risks. From 2016 to 2019, soil heavy metal contents increased in more than 50% of regions and the growth rates of accumulations were ranked as Co (65%) > Ni (56%) > Mn (43%) > Pb (40%) > Cr (36%) > Zn (31%) > Cu (23%) > Cd (3%). High contents and increases of heavy metals in soils near industrial lands are higher. Smelter (24%), mine (20%), and factory (12%) were the major contributing factors for these heavy metal increments, followed by transportation (6%) and population (5%). The results indicated that the management of industrial discharge and contaminated soils should be strengthened to prevent the worsening soil heavy metal pollution in the study area. SN - 2050-7895 UR - https://www.unboundmedicine.com/medline/citation/36723365/Spatiotemporal_patterns_of_soil_heavy_metal_pollution_risk_and_driving_forces_of_increment_in_a_typical_industrialized_region_in_central_China_ DB - PRIME DP - Unbound Medicine ER -