Comprehensive comparison of probabilistic health risks of soil heavy metals in China's mining areas. Issue 8 (13th September 2020)

• Record Type: Journal Article
• Authors: Tong, Ruipeng; Jia, Qingli; Ma, Xiaofei; Fang, Yingqian; Wang, Wei
• Is Part Of: Human & ecological risk assessment. Volume 26:Issue 8(2020)
• Page Start: 2059
• Page End: 2077
• Publication Date: 2020-09-13
• Subjects: health risk -- soil heavy metals -- Chinese mining areas -- Monte Carlo simulation -- sensitivity analysis; Health risk assessment -- Periodicals; Ecological risk assessment -- Periodicals; Ecology -- Periodicals; Risk Assessment -- Periodicals; 363.102
• DOI: 10.1080/10807039.2019.1649115
• Languages: English
• ISSNs: 1080-7039

Abstract

Abstract: To assess the health risks caused by soil heavy metal in China's mining areas, concentration data for eight heavy metals in 77 mines were collected from previous literature. Monte Carlo simulation was used to analyze the corresponding carcinogenic risks and noncarcinogenic risks, and sensitivity analysis was carried out for each parameter. The results showed that among the different types of mining areas, multi-metal mines have the highest risk of carcinogenesis, followed by tungsten and antimony mines. Their carcinogenic risk values are all greater than 10 −4, which is unacceptable. Pb is a heavy metal with highest noncarcinogenic risk. The log-transformed value is 3.2, which is much larger than the threshold of 0; Pb is followed by As and Hg. Therefore, Pb, As, and Hg are the heavy metals that should be controlled preferentially in polluted mining areas. Sensitivity analysis showed that the soil ingestion rate, exposure frequency, and pollutant concentration level are the factors that have the greatest impacts on health risks. More attention should be paid to these factors when addressing heavy metal pollution in mining areas. In addition, for the surveyed mines, children had a greater health risk than adults, so children should be given extra attention.