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• W3202296504 abstract "At the beginning of 2020, COVID-19 broke out. Because the virus is extremely contagious and the mortality rate after infection is extremely high, China and many countries in the world have imposed lockdowns. Air pollutants during the epidemic period have attracted the attention of many scholars. This research is to use predictive models to describe changes in extreme air pollutants. China is the first country in the world to enter the lockdown state. This study uses data from 2015-2020 to compare and predict the concentration of extreme pollutants before and after the lockdown. The results show that the lockdown of the epidemic will reduce the annual average concentration of PM 2.5 , and the annual average concentration of O 3 will increase first and then decrease. Through analysis, it is concluded that there is a synergistic decrease trend between PM 2.5 and O 3 . With the various blockade measures for epidemic prevention and control, the reduction of extreme air pollutant concentrations is sustainable. The assessment of China’s air quality in conjunction with the COVID-19 can provide scientific guidance for the Chinese government and other relevant departments to formulate policies." @default.
• W3202296504 created "2021-10-11" @default.
• W3202296504 creator A5008017112 @default.
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• W3202296504 date "2021-10-06" @default.
• W3202296504 modified "2023-10-03" @default.
• W3202296504 title "Impact of COVID-19 on Extremely Polluted Air Quality and Trend Forecast in Seven Provinces and Three Cities of China" @default.
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• W3202296504 doi "https://doi.org/10.3389/fenvs.2021.770900" @default.
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