Pollution Characteristics,Source Analysis,and Health Risk Assessment of Heavy Metals in Soil and Crops in a Typical molybdenum Mining Area of Qinling Mountains

被引:0
作者
Zhang, Chao [1 ]
He, Feng [1 ]
Wang, Zi-Yu [1 ]
Yuan, Meng-Yao [1 ]
Lai, Pan-Min-Wang [1 ]
Guo, Jun-Kang [1 ]
机构
[1] School of Environmental Science and Engineering, Shaanxi University of Science & Technology, Xi'an
来源
Huanjing Kexue/Environmental Science | 2024年 / 45卷 / 09期
关键词
crops; farmland soil; health risk assessment; heavy metals; molybdenum mining area; PMF model;
D O I
10.13227/j.hjkx.202309090
中图分类号
学科分类号
摘要
This study focused on a molybdenum mining area in the Qinling Mountains(Shaanxi segment). Crop and corresponding soil samples were collected from the vicinity of the mining area,and the concentrations of six heavy metals(Cr,Cu,Zn,As,Cd,and Pb)were determined. Soil heavy metal pollution was assessed using single-factor,comprehensive pollution,and geo-accumulation index methods. The primary sources of soil heavy metals were analyzed using the PMF model. A health risk assessment for soil and crops was conducted using the USEPA model. The results revealed severe pollution of agricultural soils by Cr,Cu,Zn,Cd,and Pb. Among these,Cr may have been primarily sourced from chrombismite nearby mining activities,contributing to 85.1% of the pollution. Cu and As were mainly sourced from agriculture,contributing 50.3% and 70.6%,respectively. Zn and Cd were primarily sourced from natural sources such as metal slag dust and rainwash from the mining area,contributing 73.5% and 48.7%,respectively. Pb was primarily sourced from transportation sources,contributing to 54.7% of the pollution. Crop metal contamination was especially severe for Cr,followed by Pb,whereas As and Cd contamination was relatively lower. Crops were significantly impacted by heavy metal pollution in agricultural soils. The health risk assessment indicated non-carcinogenic and carcinogenic risks for children due to soil heavy metals,whereas adults faced acceptable levels of risk. Both adults and children were exposed to highly significant non-carcinogenic and carcinogenic risks from heavy metals in the crops. Moreover,it is essential to implement effective measures to control heavy metal pollution from tailings to safeguard nearby residents,especially children,from adverse health risks. © 2024 Science Press. All rights reserved.
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页码:5526 / 5537
页数:11
相关论文
共 49 条
[1]  
Bourliva A, Papadopoulou L, Aidona E,, Et al., Characterization and geochemistry of technogenic magnetic particles (TMPs) in contaminated industrial soils:Assessing health risk via ingestion [J], Geoderma, 295, pp. 86-97, (2017)
[2]  
Kim B, Angeli J L F,, Ferreira P A L,, Et al., Critical evaluation of different methods to calculate the Geoaccumulation Index for environmental studies:A new approach for Baixada Santista – Southeastern Brazil[J], Marine Pollution Bulletin, 127, pp. 548-552, (2018)
[3]  
Wang N, Guan Q Y,, Sun Y F,, Et al., Predicting the spatial pollution of soil heavy metals by using the distance determination coefficient method[J], Science of the Total Environment, (2021)
[4]  
Xu X B, Hu X Y, Wang T,, Et al., Non-inverted U-shaped challenges to regional sustainability:The health risk of soil heavy metals in coastal China[J], Journal of Cleaner Production, (2021)
[5]  
Wang X P, Wang L Q, Zhang Q,, Et al., Integrated assessment of the impact of land use types on soil pollution by potentially toxic elements and the associated ecological and human health risk[J], Environmental Pollution, (2022)
[6]  
Kamunda C,, Mathuthu M, Madhuku M., Health risk assessment of heavy metals in soils from Witwatersrand Gold Mining Basin,South Africa[J], International Journal of Environmental Research and Public Health, 13, 7, (2016)
[7]  
Zhang H, Wang H,, Tang H Y,, Et al., Heavy metal pollution characteristics and health risk evaluation of soil and vegetables in various functional areas of lead-zinc tailings pond[J], Acta Scientiae Circumstantiae, 40, 3, pp. 1085-1094, (2020)
[8]  
Wang J H, Wu H H, Wei W X,, Et al., Health risk assessment of heavy metal(loid)s in the farmland of megalopolis in China by using APCS-MLR and PMF receptor models: Taking Huairou District of Beijing as an example [J], Science of the Total Environment, (2022)
[9]  
Jin G Q, Fang W, Shafi M,, Et al., Source apportionment of heavy metals in farmland soil with application of APCS-MLR model:A pilot study for restoration of farmland in Shaoxing City Zhejiang,China[J], Ecotoxicology and Environmental Safety, 184, (2019)
[10]  
Lv J S., Multivariate receptor models and robust geostatistics to estimate source apportionment of heavy metals in soils [J], Environmental Pollution, 244, pp. 72-83, (2019)