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DOI 10.1016/j.jhazmat.2024.133773

Медицинская библиотека · Journal of hazardous materials · 2024

Toxicity source apportionment of fugitive dust PM2.5-bound polycyclic aromatic hydrocarbons using multilayer perceptron neural network analysis in Guanzhong Plain urban agglomeration, China.

Zhang Qian, Zhao Ziyi, Wu Zhichun, Niu Xinyi, Zhang Yuhang, Wang Qiyuan, Ho Steven Sai Hang, Li Zhihua, Shen Zhenxing

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

Polycyclic aromatic hydrocarbons (PAHs) in urban fugitive dust, known for their toxicity and ability to generate reactive oxygen species (ROS), are a major public health concern. This study assessed the spatial distribution and health risks of 15 PAHs in construction dust (CD) and road dust (RD) samples collected from June to November 2021 over the cities of Tongchuan (TC), Baoji (BJ), Xianyang (XY), and Xi'an (XA) in the Guanzhong Plain, China. The average concentration of ΣPAHs in RD was 39.5 ± 20.0 μg g-1, approximately twice as much as in CD. Four-ring PAHs from fossil fuels combustion accounted for the highest proportion of ΣPAHs in fugitive dust over all four cities. Health-related indicators including benzo(a)pyrene toxic equivalency factors (BAPTEQ), oxidative potential (OP), and incremental lifetime cancer risk (ILCR) all presented higher risk in RD than those in CD. The multilayer perceptron neural network algorithm quantified that vehicular and industrial emissions contributed 86 % and 61 % to RD and CD BAPTEQ, respectively. For OP, the sources of biomass and coal combustion were the key generator which accounted for 31-54 %. These findings provide scientific evidence for the direct efforts toward decreasing the health risks of fugitive dust in Guanzhong Plain urban agglomeration, China.

Для цитирования: Zhang Qian, Zhao Ziyi, Wu Zhichun, Niu Xinyi, Zhang Yuhang, Wang Qiyuan, Ho Steven Sai Hang, Li Zhihua, Shen Zhenxing. Toxicity source apportionment of fugitive dust PM2.5-bound polycyclic aromatic hydrocarbons using multilayer perceptron neural network analysis in Guanzhong Plain urban agglomeration, China.. Journal of hazardous materials. 2024. DOI: 10.1016/j.jhazmat.2024.133773.

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