An Integrated Approach for Source Apportionment and Health Risk Assessment of Heavy Metals in Subtropical Agricultural Soils, Eastern China

Unreasonable human activities may cause the accumulation of heavy metals (HMs) in the agricultural soil, which will ultimately threaten the quality of soil environment, the safety of agricultural products, and human health. Therefore, the accumulation characteristics, potential sources, and health r...

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Main Authors: Ping Li, Tao Wu, Guojun Jiang, Lijie Pu, Yan Li, Jianzhen Zhang, Fei Xu, Xuefeng Xie
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Land
Subjects:
Online Access:https://www.mdpi.com/2073-445X/10/10/1016
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author Ping Li
Tao Wu
Guojun Jiang
Lijie Pu
Yan Li
Jianzhen Zhang
Fei Xu
Xuefeng Xie
author_facet Ping Li
Tao Wu
Guojun Jiang
Lijie Pu
Yan Li
Jianzhen Zhang
Fei Xu
Xuefeng Xie
author_sort Ping Li
collection DOAJ
description Unreasonable human activities may cause the accumulation of heavy metals (HMs) in the agricultural soil, which will ultimately threaten the quality of soil environment, the safety of agricultural products, and human health. Therefore, the accumulation characteristics, potential sources, and health risks of HMs in agricultural soils in China’s subtropical regions were investigated. The mean Hg, Cu, Zn, Pb, and Cd concentrations of agricultural soil in Jinhua City have exceeded the corresponding background values of Zhejiang Province, while the mean concentrations of determined 8 HMs were less than their corresponding risk-screening values for soil contamination of agricultural land in China. The spatial distribution of As, Cr, Ni, Cu, and Pb were generally distributed in large patches, and Hg, Zn, and Cd were generally sporadically distributed. A positive definite matrix factor analysis (PMF) model had better performance than an absolute principal component–multiple linear regression (APCS-MLR) model in the identification of major sources of soil HMs, as it revealed higher R<sup>2</sup> value (0.81–0.99) and lower prediction error (−0.93–0.25%). The noncarcinogenic risks (HI) of the 8 HMs to adults and children were within the acceptable range, while the carcinogenic risk (RI) of children has exceeded the safety threshold, which needs to be addressed by relevant departments. The PMF based human health risk assessment model indicated that industrial sources contributed the highest risk to HI (32.92% and 30.47%) and RI (60.74% and 61.5%) for adults and children, followed by agricultural sources (21.34%, 29.31% and 32.94% 33.19%). Therefore, integrated environmental management should be implemented to control and reduce the accumulation of soil HMs from agricultural and industrial sources.
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spelling doaj.art-3dd25bceea0342c3b9e624411bdd688b2023-11-22T18:50:19ZengMDPI AGLand2073-445X2021-09-011010101610.3390/land10101016An Integrated Approach for Source Apportionment and Health Risk Assessment of Heavy Metals in Subtropical Agricultural Soils, Eastern ChinaPing Li0Tao Wu1Guojun Jiang2Lijie Pu3Yan Li4Jianzhen Zhang5Fei Xu6Xuefeng Xie7College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, ChinaCollege of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, ChinaCollege of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, ChinaSchool of Geography and Ocean Science, Nanjing University, Nanjing 210023, ChinaCo-Innovation Center for the Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing 210037, ChinaCollege of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, ChinaInstitute of Land and Urban-Rural Development, Zhejiang University of Finance & Economics, Hangzhou 310018, ChinaCollege of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, ChinaUnreasonable human activities may cause the accumulation of heavy metals (HMs) in the agricultural soil, which will ultimately threaten the quality of soil environment, the safety of agricultural products, and human health. Therefore, the accumulation characteristics, potential sources, and health risks of HMs in agricultural soils in China’s subtropical regions were investigated. The mean Hg, Cu, Zn, Pb, and Cd concentrations of agricultural soil in Jinhua City have exceeded the corresponding background values of Zhejiang Province, while the mean concentrations of determined 8 HMs were less than their corresponding risk-screening values for soil contamination of agricultural land in China. The spatial distribution of As, Cr, Ni, Cu, and Pb were generally distributed in large patches, and Hg, Zn, and Cd were generally sporadically distributed. A positive definite matrix factor analysis (PMF) model had better performance than an absolute principal component–multiple linear regression (APCS-MLR) model in the identification of major sources of soil HMs, as it revealed higher R<sup>2</sup> value (0.81–0.99) and lower prediction error (−0.93–0.25%). The noncarcinogenic risks (HI) of the 8 HMs to adults and children were within the acceptable range, while the carcinogenic risk (RI) of children has exceeded the safety threshold, which needs to be addressed by relevant departments. The PMF based human health risk assessment model indicated that industrial sources contributed the highest risk to HI (32.92% and 30.47%) and RI (60.74% and 61.5%) for adults and children, followed by agricultural sources (21.34%, 29.31% and 32.94% 33.19%). Therefore, integrated environmental management should be implemented to control and reduce the accumulation of soil HMs from agricultural and industrial sources.https://www.mdpi.com/2073-445X/10/10/1016soil heavy metalspositive definite matrix factor analysisabsolute principal component–multiple linear regressionhealth risk assessment
spellingShingle Ping Li
Tao Wu
Guojun Jiang
Lijie Pu
Yan Li
Jianzhen Zhang
Fei Xu
Xuefeng Xie
An Integrated Approach for Source Apportionment and Health Risk Assessment of Heavy Metals in Subtropical Agricultural Soils, Eastern China
Land
soil heavy metals
positive definite matrix factor analysis
absolute principal component–multiple linear regression
health risk assessment
title An Integrated Approach for Source Apportionment and Health Risk Assessment of Heavy Metals in Subtropical Agricultural Soils, Eastern China
title_full An Integrated Approach for Source Apportionment and Health Risk Assessment of Heavy Metals in Subtropical Agricultural Soils, Eastern China
title_fullStr An Integrated Approach for Source Apportionment and Health Risk Assessment of Heavy Metals in Subtropical Agricultural Soils, Eastern China
title_full_unstemmed An Integrated Approach for Source Apportionment and Health Risk Assessment of Heavy Metals in Subtropical Agricultural Soils, Eastern China
title_short An Integrated Approach for Source Apportionment and Health Risk Assessment of Heavy Metals in Subtropical Agricultural Soils, Eastern China
title_sort integrated approach for source apportionment and health risk assessment of heavy metals in subtropical agricultural soils eastern china
topic soil heavy metals
positive definite matrix factor analysis
absolute principal component–multiple linear regression
health risk assessment
url https://www.mdpi.com/2073-445X/10/10/1016
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