| Literature DB >> 31759719 |
Huang Zheng1, Shaofei Kong2, Yingying Yan3, Nan Chen4, Liquan Yao1, Xi Liu3, Fangqi Wu3, Yi Cheng3, Zhenzhen Niu3, Shurui Zheng3, Xin Zeng5, Qin Yan1, Jian Wu1, Mingming Zheng6, Dantong Liu7, Delong Zhao8, Shihua Qi5.
Abstract
Petrochemical industry (PI) is an important emission sector of anthropogenic volatile organic compounds (VOCs). The health impacts of VOCs from PI have caused a wide attention by both scientists and publics. In this study, compositions, sources and health risks of VOCs at a typical petrochemical industrial park along the middle reach of Yangtze River were studied. The total VOC concentrations were in the range of 5.59 to 541 ppbv with a mean value of 54.8 ppbv. Alkanes (41.4 ± 15.7%) were the predominant group, followed by alkenes (19.9 ± 18.3%), OVOCs (14.7 ± 9.26%), halo hydrocarbon (11.2 ± 6.42%), aromatics (8.17 ± 5.08%), and acetylene (4.54 ± 2.80%). Compound-specific health risk results showed that acrolein and 1,3-butadiene had the highest non-carcinogenic risk (expressed by hazard ratio, HR: 22.8) and carcinogenic risk (expressed by lifetime cancer risk, LCR: 6.7 × 10-3), respectively. Positive matrix factorization (PMF) model identified four VOC sources including fuel evaporation, industrial sources, ethylene industry and regional background with the average contributions of 35.6%, 12.0%, 26.5% and 25.9%, respectively. The receptor-originated approach combining the PMF model and conventional methods (HR and LCR) was used to assess the source-specific health risks. The non-cancer risks of four VOC sources were above safe level with regional background contributing most (38.3% or 4.91) to HR. The cancer risks of the four sources were below the tolerable level (<10-4) and regional background also contributed most, with relative contribution of 58.4% (or 10-4.22) to LCR. Our results are conductive to the formulation of countermeasures to reduce human exposure to ambient VOCs at petrochemical industrial parks in China.Entities:
Keywords: Health risk assessment; Monte-Carlo simulation; Petrochemical industrial park; Source apportionment; Volatile organic compounds
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Year: 2019 PMID: 31759719 DOI: 10.1016/j.scitotenv.2019.135505
Source DB: PubMed Journal: Sci Total Environ ISSN: 0048-9697 Impact factor: 7.963