Spatial pattern, source apportionment, and source-oriented health risk quantifying of heavy metals in farmland soils of southern China

被引:0
|
作者
Hu, Bifeng [1 ,2 ]
He, Xiangyu [1 ]
Zhou, Jiumao [3 ]
Zhang, Hong [3 ]
Dai, Yeming [3 ]
Wang, Zhige [4 ,5 ]
Jiang, Yefeng [6 ]
Zhang, Yangzhu [7 ]
Zhang, Pengbo [8 ]
Shi, Zhou [2 ,4 ]
机构
[1] Jiangxi Univ Finance & Econ, Sch Publ Finance & Publ Adm, Dept Land Resource Management, Nanchang 330013, Peoples R China
[2] Zhejiang Univ, Coll Environm & Resource Sci, Minist Educ, Key Lab Environm Remediat & Ecol Hlth, Hangzhou 310058, Peoples R China
[3] Ninth Brigade Jiangxi Geol Bur, Nanchang 330027, Peoples R China
[4] Zhejiang Univ, Inst Agr Remote Sensing & Informat Technol Applica, Coll Environm & Resource Sci, Hangzhou 310058, Peoples R China
[5] Tsinghua Univ, Inst Global Change Studies, Dept Earth Syst Sci, Minist Educ,Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China
[6] Jiangxi Agr Univ, Acad Land Resource & Environm, Nanchang 330045, Peoples R China
[7] Hunan Agr Univ, Coll Resources & Environm, Changsha 410128, Peoples R China
[8] Hunan Univ Finance & Econ, Changsha 410205, Peoples R China
关键词
Soil heavy metal pollution; Positive matrix factorization model (PMF); Health risk assessment (HRA); Structural equation modeling (SEM); POLLUTION; JIANGSU; RICE; AREA;
D O I
10.1007/s10661-024-13273-y
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The contamination of heavy metal has permeated many parts of China, especially in densely populated and industrialized southern China. This study focused on the degree of pollution in farmland soil heavy metals (HMs), and its spatial distribution characteristics and source apportionment. Meanwhile, we conducted an evaluation of the health risks attributed to soil HMs and analyzed the factors that impact them. We found that the distribution of five heavy metals is mainly concentrated in the east-central and southern parts of the study area. Specifically, Cd and Hg have high levels of pollution and present potential ecological risks. The pollution sources of five HMs were analyzed utilizing positive matrix factorization. The results revealed that the contribution of different sources keeps the following order: natural source (42.42%), agricultural activities (29.93%), industrial pollution source (20.49%), and atmospheric deposition pollution (7.16%). The non-carcinogenic risks to residents were acceptable, whereas the carcinogenic risks were relatively high. Children and the elderly are more vulnerable to the negative effects of Cr, As. Using structural equation modeling, we found soil property is a vital factor affecting soil contamination, with the soil organic matter and cation exchange capacity having a relatively greater impact on heavy metals pollution. Our study provides some data reference and guidance for soil ecological protection and restoration.
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页数:22
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