A Large-Scale Assessment of Soil Heavy Metal Pollution Using Field-Collected Earthworms as Bio-Indicators in Shaoguan, South China

被引:0
作者
Wang, Xiangyu [1 ,2 ,3 ]
Cairang, Shijia [1 ,3 ]
Du, Jingjing [1 ,3 ]
Wei, Zebin [4 ]
Wu, Qitang [4 ]
Hu, Ligang [1 ,2 ,3 ]
Xu, Ming [1 ,2 ,3 ]
机构
[1] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Environm Chem & Ecotoxicol, Beijing 100085, Peoples R China
[2] Univ Chinese Acad Sci, Hangzhou Inst Adv Study, Sch Environm, Hangzhou 310024, Peoples R China
[3] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
[4] South China Agr Univ, Coll Nat Resources & Environm, Guangzhou 510642, Guangdong, Peoples R China
来源
ENVIRONMENT & HEALTH | 2025年
关键词
soil pollution; heavy metal; earthworm; bioavailability; bio-indicator; risk assessment; PB/ZN MINE TAILINGS; GUANGDONG PROVINCE; CONTAMINATION; BIOMARKERS;
D O I
10.1021/envhealth.4c00249
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Soil heavy metal pollution is one of the biggest issues that we are facing today, which poses serious threats to ecosystems and communities. However, a lack of efficient means and incomplete monitoring data are the main obstacles impeding soil pollution management and prevention in China. Moreover, it is rare to examine the possibility and reliability of using field-collected earthworms to assess the pollution degree of soil heavy metals in real-world situations at a large field scale. In this study, we investigate the potential use of field-collected earthworms as bio-indicators to assess the pollution characteristics and risks of heavy metals (Zn, Pb, Cu, As, Cd, and Cr) across three typical regions (Xiaokeng Reservoir, Dabaoshan Mine, and Smelter/Steel Plants) in Shaoguan, one of six trial zones identified for the Soil Pollution Prevention and Control Action Plan in China. Our results unveil the existence of significant differences in the spatial distribution and bioavailability of heavy metals in soils and earthworms across these regions. The average contents of Zn, Pb, Cu, As, Cr, and Cd in soils were 329.7 +/- 476.5, 180.9 +/- 262.4, 82.9 +/- 197.8, 66.6 +/- 61.6, 53.3 +/- 53.6, and 7.2 +/- 8.2 mg/kg, while those in earthworms were 113.6 +/- 112.1, 99.4 +/- 106.8, 90.0 +/- 126.9, 24.7 +/- 30.8, 8.8 +/- 9.4, and 5.1 +/- 3.4 mg/kg, respectively. The internal exposure dose of heavy metals in earthworms is found to more accurately reflect their bioavailability under true environmental conditions than the external exposure dose in soils. The bioaccumulation factor (BAF) exhibited the highest values for Cd (0.01-24.40), followed by those for Pb (0.06-9.94), Cu (0.12-5.23), Cr (0.02-1.90), As (0.02-1.18), and Zn (0.06-1.17). Further principal component analysis (PCA) and random forest (RF) classification ascertain that earthworms are more capable of differentiating heavy metal pollution in different regions than soil alone. Compared to the routine analysis of the total heavy metal content in soils, our novel strategy demonstrates the superiority of employing field-collected earthworms as bio-indicators for monitoring heavy metal pollution and discriminating potential sources of soil pollution in a real scenario.
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页数:10
相关论文
共 44 条
  • [1] Chen R., de Sherbinin A., Ye C., Shi G., China’s soil pollution: farms on the frontline, Science, 344, 6185, (2014)
  • [2] Zhao F.-J., Ma Y., Zhu Y.-G., Tang Z., McGrath S.P., Soil contamination in China: current status and mitigation strategies, Environ. Sci. Technol., 49, (2015)
  • [3] Zhang H., Du P., Yuan B., Zhang Y., Chen J., Liu H., Li A., Wei Y., Xiong Y., Zhao B., Multifaceted Insight into Sensitivity Analysis and Environmental Impact on Human Health of Soil Contamination Risk Assessment, Environ. Health (Wash), 1, 3, pp. 214-227, (2023)
  • [4] Sun Z., Xie X., Wang P., Hu Y., Cheng H., Heavy metal pollution caused by small-scale metal ore mining activities: A case study from a polymetallic mine in South China, Sci. Total Environ., 639, pp. 217-227, (2018)
  • [5] Wang Q., Li C., Hao D., Xu Y., Shi X., Liu T., Sun W., Zheng Z., Liu J., Li W., Liu W., Zheng J., Li F., A novel four-dimensional prediction model of soil heavy metal pollution: Geographical explanations beyond artificial intelligence ″black box″, J. Hazard. Mater., 458, (2023)
  • [6] Lan C.Y., Shu W.S., Wong M.H., Reclamation of Pb/Zn mine tailings at Shaoguan, Guangdong Province, People’s Republic of China: The role of river sediment and domestic refuse, Bioresour. Technol., 65, 1, pp. 117-124, (1998)
  • [7] Dong X., Li C., Li J., Wang J., Liu S., Ye B., A novel approach for soil contamination assessment from heavy metal pollution: a linkage between discharge and adsorption, J. Hazard. Mater., 175, 1-3, pp. 1022-1030, (2010)
  • [8] Wang X., Zeng X., Chuanping L., Li F., Xu X., Lv Y., Heavy metal contaminations in soil-rice system: source identification in relation to a sulfur-rich coal burning power plant in Northern Guangdong Province, China, Environ. Monit. Assess., 188, 8, (2016)
  • [9] Leung H.M., Duzgoren-Aydin N.S., Au C.K., Krupanidhi S., Fung K.Y., Cheung K.C., Wong Y.K., Peng X.L., Ye Z.H., Yung K.K., Tsui M.T., Monitoring and assessment of heavy metal contamination in a constructed wetland in Shaoguan (Guangdong Province, China): bioaccumulation of Pb, Zn, Cu and Cd in aquatic and terrestrial components, Environ. Sci. Pollut. Res., 24, 10, pp. 9079-9088, (2017)
  • [10] Zheng S., Wang Q., Yu H., Huang X., Li F., Interactive effects of multiple heavy metal(loid)s on their bioavailability in cocontaminated paddy soils in a large region, Sci. Total Environ., 708, (2020)