PMID- 33141385 OWN - NLM STAT- MEDLINE DCOM- 20210218 LR - 20210218 IS - 1614-7499 (Electronic) IS - 0944-1344 (Linking) VI - 28 IP - 8 DP - 2021 Feb TI - Source apportionment and source-specific health risk assessment of heavy metals in size-fractionated road dust from a typical mining and smelting area, Gejiu, China. PG - 9313-9326 LID - 10.1007/s11356-020-11312-y [doi] AB - 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. FAU - Guo, Guanghui AU - Guo G AUID- ORCID: 0000-0002-4852-2882 AD - Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China. Guogh@igsnrr.ac.cn. AD - University of Chinese Academy of Sciences, Beijing, 100049, China. Guogh@igsnrr.ac.cn. FAU - Zhang, Degang AU - Zhang D AD - Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China. AD - University of Chinese Academy of Sciences, Beijing, 100049, China. FAU - Yuntao AU - Yuntao FAU - Wang AU - Wang AD - Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China. AD - University of Chinese Academy of Sciences, Beijing, 100049, China. LA - eng GR - 2018YFC1800104/National Basic Research Program of China (973 Program)/ PT - Journal Article DEP - 20201103 PL - Germany TA - Environ Sci Pollut Res Int JT - Environmental science and pollution research international JID - 9441769 RN - 0 (Dust) RN - 0 (Metals, Heavy) RN - 0 (Soil Pollutants) SB - IM MH - Adult MH - Child MH - China MH - Dust/analysis MH - Environmental Monitoring MH - Humans MH - *Metals, Heavy/analysis MH - Risk Assessment MH - *Soil Pollutants/analysis OTO - NOTNLM OT - Heavy metals OT - Positive matrix factorization OT - Road dust OT - Source apportionment OT - Source-specific health risk EDAT- 2020/11/04 06:00 MHDA- 2021/02/20 06:00 CRDT- 2020/11/03 12:50 PHST- 2020/04/01 00:00 [received] PHST- 2020/10/18 00:00 [accepted] PHST- 2020/11/04 06:00 [pubmed] PHST- 2021/02/20 06:00 [medline] PHST- 2020/11/03 12:50 [entrez] AID - 10.1007/s11356-020-11312-y [pii] AID - 10.1007/s11356-020-11312-y [doi] PST - ppublish SO - Environ Sci Pollut Res Int. 2021 Feb;28(8):9313-9326. doi: 10.1007/s11356-020-11312-y. Epub 2020 Nov 3.