2021
DOI: 10.1016/j.scitotenv.2020.143885
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Molecular characteristics, source contributions, and exposure risks of polycyclic aromatic hydrocarbons in the core city of Central Plains Economic Region, China: Insights from the variation of haze levels

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Cited by 12 publications
(4 citation statements)
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“…These DTT m values are comparable with those for the water-soluble fractions of BB, CC, and diesel soot (1.4 ± 0.6, 2.1 ± 2.3 and 1.1 ± 0.4 pmol/min/µg) (R. Zhu et al, 2019) but were much lower than the ranges of 14-25 pmol/min/µg in Los Angeles wildfire aerosol samples, 22-68 pmol/min/µg in Atlanta PM 2.5 samples, and 0.13 ± 0.10 nmol/min/µg in Beijing PM 2.5 samples (Verma et al, 2012;Bates et al, 2019. These results suggested that the water-soluble fraction from BB and CC in this study had a weaker ROS generation capacity than ambient aerosols, which was likely due to the differences in the chemical composition of water-soluble fractions in BB and CC smoke particles and ambient aerosols Yu, 2011, 2019;Dou et al, 2015;Wong et al, 2019). In general, ambient aerosols contain various sources, and the contribution of other sources, such as vehicle emissions or anthropogenic emissions, and transition metals (e.g., Fe, Cu) could increase the ability of atmospheric water-soluble fractions to produce ROS (Ma et al, 2018;R.…”
Section: Oxidative Potentialmentioning
confidence: 68%
“…These DTT m values are comparable with those for the water-soluble fractions of BB, CC, and diesel soot (1.4 ± 0.6, 2.1 ± 2.3 and 1.1 ± 0.4 pmol/min/µg) (R. Zhu et al, 2019) but were much lower than the ranges of 14-25 pmol/min/µg in Los Angeles wildfire aerosol samples, 22-68 pmol/min/µg in Atlanta PM 2.5 samples, and 0.13 ± 0.10 nmol/min/µg in Beijing PM 2.5 samples (Verma et al, 2012;Bates et al, 2019. These results suggested that the water-soluble fraction from BB and CC in this study had a weaker ROS generation capacity than ambient aerosols, which was likely due to the differences in the chemical composition of water-soluble fractions in BB and CC smoke particles and ambient aerosols Yu, 2011, 2019;Dou et al, 2015;Wong et al, 2019). In general, ambient aerosols contain various sources, and the contribution of other sources, such as vehicle emissions or anthropogenic emissions, and transition metals (e.g., Fe, Cu) could increase the ability of atmospheric water-soluble fractions to produce ROS (Ma et al, 2018;R.…”
Section: Oxidative Potentialmentioning
confidence: 68%
“…PAHs, which originate from various emission sources, are one of the most abundant organic components contributing to PM 2.5 ( Qi et al, 2020 ). Different PAH diagnostic ratios are commonly used to investigate possible sources of PAHs, and subsequently, PM 2.5 ( Dong et al, 2021 ; Gao and Ji, 2018 ; Yan et al, 2019 ). The Flt/(Flt + Pyr), BaA/(BaA + Chr) and Ant/(Ant + Phe) ratios were mostly higher than 0.50, 0.35 and 0.10, respectively, during the COVID-19 Ⅲ period, revealing biomass and coal combustion, along with petroleum products, as the main source of PM 2.5 ( Fig.…”
Section: Resultsmentioning
confidence: 99%
“…The PAH diagnostic ratio represents a semi-quantitative way to identify sources of PAHs and the usefulness of PAH isomer ratios in source identification has been extensively proved ( Dong et al, 2021 ; Le et al, 2020 ; Lu et al, 2017 ; Xu et al, 2020a ). The diagnostic ratios of Ant/(Phe + Ant), Flt/(Flt + Pyr), IcdP/(IcdP + BghiP), and BaA/(BaA + Chr) were calculated to investigate the sources of PM 2.5 -bound PAHs during COVID-19 Ⅲ to Ⅴ (Table S2).…”
Section: Methodsmentioning
confidence: 99%
“…This is mainly contributed to the implementation of measures such as the "650" project for air pollution control, the summer ozone control action plan, the implementation plan for Chengdu to win the battle to defend the blue sky, and the Chengdu air quality compliance plan (2018-2027) (Table S2) [52][53][54][55][56][57][58][59][60]. In 2020, the "636" project of low-carbon city construction was implemented in depth [97,98]. The proportion of days with air quality up to standard in each district (city) county ranges from 72.7% to 91.8%.…”
Section: Annual Variationmentioning
confidence: 99%