Significant impact of coal combustion on VOCs emissions in winter in a North China rural site

Zhang, Fei; Shang, Xiaona; Chen, Hui; Xie, Gang; Fu, Yao; Wu, Di; Sun, Weiwei; Liu, Pengfei; Zhang, Chenglong; Mu, Yujing; Zeng, Limin; Wan, Mei; Wang, Yuesi; Xiao, Hang; Wang, Gehui; Chen, Jianmin

doi:10.1016/j.scitotenv.2020.137617

Cited by 73 publications

(34 citation statements)

References 83 publications

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“…Compared with Beijing, the concentration of CFC-11 in TA, JN, and GR was significantly lower. As shown in Table 1, the CFC-11 concentrations of this study were lower than those of previous studies, such as Xi'an, Wangdu, and Fujian [29][30][31]. Four CFC concentrations measured in Xi'an in 2018 were significantly high, which were 1330 pptv, 630 pptv, 100 pptv, and 30 pptv for CFC-11, CFC-12, CFC-113, and CFC-114, respectively.…”

Section: Cfcs In Residential Sitescontrasting

confidence: 59%

Monitoring Chlorofluorocarbons in Potential Source Regions in Eastern China

Zhen

Yang

Zhou³

et al. 2020

Atmosphere

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Recent studies have indicated that Eastern China might be a potential source region of increased atmospheric chlorofluorocarbons (CFCs). To investigate this possibility, a field measurement was carried out from October to December 2017 for identifying the ambient concentration levels of representative trichlorofluoromethane (CFC-11), dichlorodifluoromethane (CFC-12), trifluorotrichloroethane (CFC-113), and tetrafluorodichloroethane (CFC-114) at the residential and municipal solid waste (MSW) landfills and industrial sites in Eastern China. The ambient mixing ratios of CFCs at residential sites were almost within 20% enhancement of the global background sites. The highest levels of CFCs were observed at the MSW landfill sites. Moreover, CFC-11 and CFC-113 concentrations at MSW landfills, which were in service, were two times higher than that at completed MSW landfills. Mean concentrations of 322 pptv for CFC-11, 791 pptv for CFC-12, 91 pptv for CFC-113, and 16 pptv for CFC-114 at various industrial sites were higher than that at residential sites, but they were obviously lower than that at MSW landfills in use. A poor intercorrelation between the CFCs indicated that they did not come from the same sources. Higher concentrations measured in this study compared with background sites indicates that MSW landfills could be an unintentional emission source and there are still substantial amounts of CFCs being stored in banks that may discharge CFCs into the atmosphere in Eastern China.

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Section: Cfcs In Residential Sitescontrasting

confidence: 59%

Monitoring Chlorofluorocarbons in Potential Source Regions in Eastern China

Zhen

Yang

Zhou³

et al. 2020

Atmosphere

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“…Industry, particularly from metallurgic, gas and oil, plastic, construction, and chemical factories may severely pollute the air of the surrounding areas emitting, through smokestacks, substances such as Particulate Matter (PM), Nitrogen dioxide (NO 2 ), Carbon Monoxide (CO), Ozone (O 3 ) precursors, etc. ( Wang et al., 2016 ; Zhang et al., 2020 ). Farms, particularly intensive indoor ones, are considered important emitters of PM precursors created by secondary reactions in the atmosphere with sulphur dioxide (SO 2 ), nitrogen oxides (NO x ), volatile organic compounds (VOCs) and ammonia (NH 3 ) ( Zhao et al., 2017 ).…”

Section: Discussionmentioning

confidence: 99%

Machine learning reveals that prolonged exposure to air pollution is associated with SARS-CoV-2 mortality and infectivity in Italy

Gatti

Velichevskaya

Tateo

et al. 2020

Environmental Pollution

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Air pollution can increase the risk of respiratory diseases, enhancing the susceptibility to viral and bacterial infections. Some studies suggest that small air particles facilitate the spread of viruses and also of the new coronavirus, besides the direct person-to-person contagion. However, the effects of the exposure to particulate matter and other contaminants on SARS-CoV-2 has been poorly explored. Here we examined the possible reasons why the new coronavirus differently impacted on Italian regional and provincial populations. With the help of artificial intelligence, we studied the importance of air pollution for mortality and positivity rates of the SARS-CoV-2 outbreak in Italy. We discovered that among several environmental, health, and socio-economic factors, air pollution and fine particulate matter (PM2.5), as its main component, resulted as the most important predictors of SARS-CoV-2 effects. We also found that the emissions from industries, farms, and road traffic - in order of importance - might be responsible for more than 70% of the deaths associated with SARS-CoV-2 nationwide. Given the major contribution played by air pollution (much more important than other health and socio-economic factors, as we discovered), we projected that, with an increase of 5–10% in air pollution, similar future pathogens may inflate the epidemic toll of Italy by 21–32% additional cases, whose 19–28% more positives and 4–14% more deaths. Our findings, demonstrating that fine-particulate (PM2.5) pollutant level is the most important factor to predict SARS-CoV-2 effects that would worsen even with a slight decrease of air quality, highlight that the imperative of productivity before health and environmental protection is, indeed, a short-term/small-minded resolution.

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“…The toluene-to-benzene concentration ratio (T/B) is often used in BTEX source apportionment studies (Zhang et al, 2016(Zhang et al, , 2020. The content of toluene in gasoline and exhaust gases is 3-4-fold higher than the benzene content (Brocco et al, 1997).…”

Section: Identification Of Btex Emission Sourcesmentioning

confidence: 99%