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An improved decomposition method to differentiate meteorological and anthropogenic effects on air pollution: A national study in China during the COVID-19 lockdown period.
Song, Yushan; Lin, Changqing; Li, Ying; Lau, Alexis K H; Fung, Jimmy C H; Lu, Xingcheng; Guo, Cui; Ma, Jun; Lao, Xiang Qian.
  • Song Y; Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, China.
  • Lin C; Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
  • Li Y; Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, China.
  • Lau AKH; Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
  • Fung JCH; Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, China.
  • Lu X; Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, China.
  • Guo C; Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, China.
  • Ma J; Department of Mathematics, The Hong Kong University of Science and Technology, Hong Kong, China.
  • Lao XQ; Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, China.
Atmos Environ (1994) ; 250: 118270, 2021 Apr 01.
Article in English | MEDLINE | ID: covidwho-1086773
ABSTRACT
Although the effects of meteorological factors on severe air pollution have been extensively investigated, quantitative decomposition of the contributions of meteorology and anthropogenic factors remains a big challenge. The novel coronavirus disease 2019 (COVID-19) pandemic affords a unique opportunity to test decomposition method. Based on a wind decomposition method, this study outlined an improved method to differentiate complex meteorological and anthropogenic effects. The improved method was then applied to investigate the cause of unanticipated haze pollution in China during the COVID-19 lockdown period. Results from the wind decomposition method show that weakened winds increased PM2.5 concentrations in the Beijing-Tianjin area and northeastern China (e.g., by 3.19 µg/m3 in Beijing). Using the improved decomposition method, we found that the combined meteorological effect (e.g., drastically elevated humidity levels and weakened airflow) substantially increased PM2.5 concentrations in northern China the most substantial increases were in the Beijing-Tianjin-Hebei region (e.g., by 26.79 µg/m3 in Beijing). On excluding the meteorological effects, PM2.5 concentrations substantially decreased across China (e.g., by 21.84 µg/m3 in Beijing), evidencing that the strict restrictions on human activities indeed decreased PM2.5 concentrations. The unfavorable meteorological conditions, however, overwhelmed the beneficial effects of emission reduction, causing the severe haze pollution. These results indicate that the integrated meteorological effects should be considered to differentiate the meteorological and anthropogenic effects on severe air pollution.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: Atmos Environ (1994) Year: 2021 Document Type: Article Affiliation country: J.atmosenv.2021.118270

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: Atmos Environ (1994) Year: 2021 Document Type: Article Affiliation country: J.atmosenv.2021.118270