A chemical cocktail during the COVID-19 outbreak in Beijing, China: Insights from six-year aerosol particle composition measurements during the Chinese New Year holiday

Shrivastava, Manish; Lu, Ling; Zhou, Wei; Chen, Chun; He, Yuehui; Sun, Jiaxing; Li, Zhijie; Xu, Weiqi; Wang, Qingqing; Ji, Dongsheng; Fu, Pingqing; Wang, Zifa; Worsnop, Douglas R.

doi:10.1016/j.scitotenv.2020.140739

Cited by 164 publications

(181 citation statements)

References 47 publications

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“…8 shows that the ion concentrations of K + , Mg 2+ and Cl − were higher at night than during the daytime during the SF, which is in accordance with the previous result ( Wang et al, 2014a ). Sun et al (2020) considered that the lockdown overall caused ubiquitous reductions in gaseous species (NO 2 , CO, and SO 2 ) and primary aerosol species (FFOA, COA, and BC) by 25-46% and 30-50%, respectively, during the Spring Festival in Beijing. In contrast, the CNY holiday impacts on the changes in secondary aerosol species were relatively small by only decreasing 5 - 12 %, and even caused a slight increase for sulfate (3%).…”

Section: Resultsmentioning

confidence: 99%

Characterization of the aerosol chemical composition during the COVID-19 lockdown period in Suzhou in the Yangtze River Delta, China

Wang

Miao

Shen

et al. 2021

Journal of Environmental Sciences

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To control the spread of COVID-19, rigorous restrictions have been implemented in China, resulting in a great reduction in pollutant emissions. In this study, we evaluated the air quality in the Yangtze River Delta during the COVID-19 lockdown period using satellite and ground-based data, including particle matter (PM), trace gases, water-soluble ions (WSIs) and black carbon (BC). We found that the impacts of lockdown policy on air quality cannot be accurately assessed using MODIS aerosol optical depth (AOD) data, whereas the tropospheric nitrogen dioxide (NO 2 ) vertical column density can well reflect the influences of these restrictions on human activities. Compared to the pre-COVID period, the PM 2.5 , PM 10 , NO 2 , carbon monoxide (CO), BC and WSIs during the lockdown in Suzhou were observed to decrease by 37.2%, 38.3%, 64.5%, 26.1%, 53.3% and 58.6%, respectively, while the sulfur dioxide (SO 2 ) and ozone (O 3 ) increased by 1.5% and 104.7%. The WSIs ranked in the order of NO 3 − > NH 4 + > SO 4 2- > Cl − > Ca 2+ > K + > Mg 2+ > Na + during the lockdown period. By comparisons with the ion concentrations during the pre-COVID period, we found that the ions NO 3 − , NH 4 + , SO 4 2− , Cl − , Ca 2+ , K + and Na + decreased by 66.3%, 48.8%, 52.9%, 56.9%, 57.9% and 76.3%, respectively, during the lockdown, in contrast to Mg 2+ , which increased by 30.2%. The lockdown policy was found to have great impacts on the diurnal variations of Cl − , SO 4 2− , Na + and Ca 2+ .

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Section: Resultsmentioning

confidence: 99%

Characterization of the aerosol chemical composition during the COVID-19 lockdown period in Suzhou in the Yangtze River Delta, China

Wang

Miao

Shen

et al. 2021

Journal of Environmental Sciences

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“…Secondary aerosols show much smaller changes (−14.1% in CTL20-EM25 and −28.9% in CTL20-EM50) with the emission reductions, compared with primary aerosols (−23.1% in CTL20-EM25 and −45.7% in CTL20-EM50). Recent evidence from intensive observation and numerical simulation also highlighted smaller response of secondary aerosols to the COVID-19 lockdown ( Huang et al, 2020 ; Le et al, 2020 ; Sun et al, 2020 ).…”

Section: Resultsmentioning

confidence: 99%

“…The national lockdown brings significant air quality improvement ( Chen et al, 2020 ; Sicard et al, 2020 ; Sun et al, 2020 ; Yue et al, 2020 ). The surface NO 2 concentrations and tropospheric NO 2 columns declined by 20–30% in China's main urban clusters during February to March of 2020 than the same period of 2019, and surface fine particulate matter (PM 2.5 ) and carbon monoxide (CO) declined by 24.9% and 17%, respectively, in China ( Yue et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Drivers for the poor air quality conditions in North China Plain during the COVID-19 outbreak

Wang

Xie

et al. 2021

Atmospheric Environment

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“…The strictest nationwide restrictions for preventing the COVID-19 spread greatly reduced the primary emissions and weakened the regional transport effect of air pollutants due to the large-scale regional decrease in the primary pollution ( Huang et al, 2020b ; Zhang et al, 2020b ). Consequently, the pandemic incident becomes a special atmospheric research hotspot due to the dramatic reduction in anthropogenic emissions ( Bauwens et al, 2020 ; Le et al, 2020 ; Sun et al, 2020 ). This special period offers us a unique opportunity to accurately assess how the reduction in local emissions influences the air quality in megacities ( Li et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal variations and reduction of air pollutants during the COVID-19 pandemic in a megacity of Yangtze River Delta in China

Yuan

et al. 2021

Science of The Total Environment

105

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In recent decades, air pollution has become an important environmental problem in the megacities of eastern China. How to control air pollution in megacities is still a challenging issue because of the complex pollutant sources, atmospheric chemistry, and meteorology. There is substantial uncertainty in accurately identifying the contributions of transport and local emissions to the air quality in megacities. The COVID-19 outbreak has prompted a nationwide public lockdown period and provides a valuable opportunity for understanding the sources and factors of air pollutants. The three-month period of continuous field observations for aerosol particles and gaseous pollutants, which extended from January 2020 to March 2020, covered urban, urban-industry, and suburban areas in the typical megacity of Hangzhou in the Yangtze River Delta in eastern China. In general, the concentrations of PM 2.5 – 10 , PM 2.5 , NO x , SO 2 , and CO reduced 58%, 47%, 83%, 11% and 30%, respectively, in the megacity during the COVID-Lock period. The reduction proportions of PM 2.5 and CO were generally higher in urban and urban-industry areas than those in suburban areas. NO x exhibited the greatest reduction (>80%) among all the air pollutants, and the reduction was similar in the urban, urban-industry, and suburban areas. O 3 increased 102%–125% during the COVID-Lock period. The daytime elevation of the planetary boundary layer height can reduce 30% of the PM 10 , PM 2.5 , NO x and CO concentrations on the ground in Hangzhou. During the long-range transport events, air pollutants on the regional scale likely contribute 40%–90% of the fine particles in the Hangzhou urban area. The findings highlight the future control and model forecasting of air pollutants in Hangzhou and similar megacities in eastern China.

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A chemical cocktail during the COVID-19 outbreak in Beijing, China: Insights from six-year aerosol particle composition measurements during the Chinese New Year holiday

Cited by 164 publications

References 47 publications

Characterization of the aerosol chemical composition during the COVID-19 lockdown period in Suzhou in the Yangtze River Delta, China

Characterization of the aerosol chemical composition during the COVID-19 lockdown period in Suzhou in the Yangtze River Delta, China

Drivers for the poor air quality conditions in North China Plain during the COVID-19 outbreak

Spatiotemporal variations and reduction of air pollutants during the COVID-19 pandemic in a megacity of Yangtze River Delta in China

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