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

被引:17
作者
Li, Ping [1 ]
Wu, Tao [1 ]
Jiang, Guojun [1 ]
Pu, Lijie [2 ]
Li, Yan [3 ]
Zhang, Jianzhen [1 ]
Xu, Fei [4 ]
Xie, Xuefeng [1 ,5 ]
机构
[1] Zhejiang Normal Univ, Coll Geog & Environm Sci, Jinhua 321004, Peoples R China
[2] Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210023, Peoples R China
[3] Nanjing Forestry Univ, Coll Forestry, Coinnovat Ctr Sustainable Forestry Southern China, Nanjing 210037, Peoples R China
[4] Zhejiang Univ Finance & Econ, Inst Land & Urban Rural Dev, Hangzhou 310018, Peoples R China
[5] Minist Nat Resources, Key Lab Coastal Zone Exploitat & Protect, Nanjing 210023, Peoples R China
基金
中国国家自然科学基金;
关键词
soil heavy metals; positive definite matrix factor analysis; absolute principal component-multiple linear regression; health risk assessment; QUANTITATIVE SOURCE APPORTIONMENT; SOURCE IDENTIFICATION; SPATIAL-DISTRIBUTION; GUANGDONG PROVINCE; SURFACE SOILS; STREET DUST; POLLUTION SOURCES; RECEPTOR MODELS; ECOLOGICAL RISK; TYPICAL COUNTY;
D O I
10.3390/land10101016
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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-2 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.</p>
引用
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页数:17
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