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Levels and drivers of urban black carbon and health risk assessment during pre- and COVID19 lockdown in Augsburg, Germany.
Liu, Xiansheng; Hadiatullah, Hadiatullah; Schnelle-Kreis, Jürgen; Xu, Yanning; Yue, Mingqi; Zhang, Xun; Querol, Xavier; Cao, Xin; Bendl, Jan; Cyrys, Josef; Jakobi, Gert; Philipp, Andreas; Münkel, Christoph; Zimmermann, Ralf; Adam, Thomas.
Afiliação
  • Liu X; Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer Science and Engineering, Beijing Technology and Business University, Beijing, 100048, China; University of the Bundeswehr Munich, Faculty for Mechanical Engineering, Institute of Chemical and Environmental Engineering,
  • Hadiatullah H; School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, 300072, China.
  • Schnelle-Kreis J; Joint Mass Spectrometry Center, Cooperation Group Comprehensive Molecular Analytics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.
  • Xu Y; School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao, 266525, China.
  • Yue M; Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer Science and Engineering, Beijing Technology and Business University, Beijing, 100048, China.
  • Zhang X; Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer Science and Engineering, Beijing Technology and Business University, Beijing, 100048, China; Hotan Normal College. Hotan 848000, Xinjiang, China. Electronic address: zhangxun@btbu.edu.cn.
  • Querol X; Institute of Environmental Assessment and Water Research (IDAEA-CSIC), 08034, Barcelona, Spain.
  • Cao X; School of Sport Science, Beijing Sport University, Beijing, 100084, China.
  • Bendl J; University of the Bundeswehr Munich, Faculty for Mechanical Engineering, Institute of Chemical and Environmental Engineering, 85577, Neubiberg, Germany.
  • Cyrys J; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany.
  • Jakobi G; Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer Science and Engineering, Beijing Technology and Business University, Beijing, 100048, China.
  • Philipp A; Institute of Geography, University of Augsburg, Alter Postweg 118, D - 86159, Augsburg, Germany.
  • Münkel C; Vaisala GmbH, Notkestr. 11, D-22607, Hamburg, Germany.
  • Zimmermann R; Joint Mass Spectrometry Center, Cooperation Group Comprehensive Molecular Analytics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany; Joint Mass Spectrometry Center, Chair of Analytical Chemistry, University of Rostock,
  • Adam T; University of the Bundeswehr Munich, Faculty for Mechanical Engineering, Institute of Chemical and Environmental Engineering, 85577, Neubiberg, Germany; Joint Mass Spectrometry Center, Cooperation Group Comprehensive Molecular Analytics, Helmholtz Zentrum München, German Research Center for Environm
Environ Pollut ; 316(Pt 1): 120529, 2023 Jan 01.
Article em En | MEDLINE | ID: mdl-36341825
This study aimed to evaluate the levels and phenomenology of equivalent black carbon (eBC) at the city center of Augsburg, Germany (01/2018 to 12/2020). Furthermore, the potential health risk of eBC based on equivalent numbers of passively smoked cigarettes (PSC) was also evaluated, with special emphasis on the impact caused by the COVID19 lockdown restriction measures. As it could be expected, peak concentrations of eBC were commonly recorded in morning (06:00-8:00 LT) and night (19:00-22:00 LT) in all seasons, coinciding with traffic rush hours and atmospheric stagnation. The variability of eBC was highly influenced by diurnal variations in traffic and meteorology (air temperature (T), mixing-layer height (MLH), wind speed (WS)) across days and seasons. Furthermore, a marked "weekend effect" was evidenced, with an average eBC decrease of ∼35% due to lower traffic flow. During the COVID19 lockdown period, an average ∼60% reduction of the traffic flow resulted in ∼30% eBC decrease, as the health risks of eBC exposure was markedly reduced during this period. The implementation of a multilinear regression analysis allowed to explain for 53% of the variability in measured eBC, indicating that the several factors (e.g., traffic and meteorology) may contribute simultaneously to this proportion. Overall, this study will provide valuable input to the policy makers to mitigate eBC pollutant and its adverse effect on environment and human health.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poluição do Ar / COVID-19 Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poluição do Ar / COVID-19 Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article