Literature DB >> 34910459

New Insights into Unexpected Severe PM2.5 Pollution during the SARS and COVID-19 Pandemic Periods in Beijing.

Peijie Zuo1,2, Zheng Zong3, Bo Zheng4, Jianzhou Bi2, Qinghua Zhang1,2, Wei Li5, Jingwei Zhang6, Xuezhi Yang1, Zigu Chen1,2, Hang Yang1,2, Dawei Lu1,2, Qinghua Zhang1,2, Qian Liu1,2, Guibin Jiang1,2.   

Abstract

During the SARS period in 2003 and COVID-19 pandemic period in 2020, unexpected severe particulate matter pollution occurred in northern China, although the anthropogenic activities and associated emissions have assumed to be reduced dramatically. This anomalistic increase in PM2.5 pollution raises a question about how source emissions impact the air quality during these pandemic periods. In this study, we investigated the stable Cu and Si isotopic compositions and typical source-specific fingerprints of PM2.5 and its sources. We show that the primary PM2.5 emissions (PM2.5 emitted directly from sources) actually had no reduction but redistribution during these pandemic periods, rather than the previous thought of being greatly reduced. This finding provided critical evidence to interpret the anomalistic PM2.5 increase during the pandemic periods in north China. Our results also suggested that both the energy structure adjustment and stringent regulations on primary emissions should be synergistically implemented in a regional scale for clean air actions in China.

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Keywords:  COVID-19; PM2.5; SARS; copper isotope; primary emission

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Year:  2021        PMID: 34910459     DOI: 10.1021/acs.est.1c05383

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  1 in total

1.  Nonlinear influence of winter meteorology and precursor on PM2.5 based on mathematical and numerical models: A COVID-19 and Winter Olympics case study.

Authors:  Wang Xiaoqi; Duan Wenjiao; Zhu Jiaxian; Wei Wei; Cheng Shuiyuan; Mao Shushuai
Journal:  Atmos Environ (1994)       Date:  2022-03-23       Impact factor: 5.755

  1 in total

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