期刊
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
卷 28, 期 8, 页码 9313-9326出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s11356-020-11312-y
关键词
Heavy metals; Road dust; Source apportionment; Source-specific health risk; Positive matrix factorization
资金
- National Key Technology Research and Development Program of China [2018YFC1800104]
The study utilized an integrated method to assess source-specific health risks in mining and smelting areas, revealing the significant role of atmospheric deposition in non-carcinogenic risks and the greater contribution of natural sources to carcinogenic risks.
Source-specific health risk apportionment for heavy metals is critical for pollution prevention and risk management in mining and smelting areas. An integrated method combining health risk assessments with the positive matrix factorization model was proposed to evaluate source-specific health risks for adults and children. A typical mining and smelting area was taken as an example in the present study to apportion the source-specific health risks to humans. A total of 37 road dust samples collected from the industrial (IA) and residential areas (RA) of Gejiu (China) were analyzed for heavy metals (Cd, Cr, Cu, Ni, Pb, and Zn). The results indicated that road dust in the study area was mainly contaminated with Cd, Cu, Pb, and Zn. Three potential sources, including atmospheric deposition, industrial waste, and natural sources, were identified and quantified, with contributions of 43.32%, 30.83%, and 25.85%, respectively. For non-carcinogenic risks, a similar trend of the source contribution was found for adults and children under the same land use; atmospheric deposition made the greatest contribution to the non-carcinogenic risk in both IA and RA. However, for carcinogenic risk, natural sources were the greatest contributor to human health risks in both IA and RA, followed by atmospheric deposition and industrial waste. The investigation in this study allowed the evaluation of health risks from potential contamination sources and the results provide valuable information on health risk mitigation strategies for environmental managers.
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