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W4247029774 abstract "Abstract. The rapid response to the COVID-19 pandemic led to unprecedented decreases in economic activities, thereby reducing the pollutant emissions. A random forest (RF) model was applied to determine the respective contributions of meteorology and anthropogenic emissions to the changes in air quality. The result suggested that the strict lockdown measures significantly decreased primary components such as Cr (â67â%) and Fe (â61â%) in PM2.5 (p<0.01), whereas the higher relative humidity (RH) and NH3 level and the lower air temperature (T) remarkably enhanced the production of secondary aerosol, including <math xmlns=http://www.w3.org/1998/Math/MathML id=M9 display=inline overflow=scroll dspmath=mathml><mrow class=chem><msubsup><mi mathvariant=normal>SO</mi><mn mathvariant=normal>4</mn><mrow><mn mathvariant=normal>2</mn><mo>-</mo></mrow></msubsup></mrow></math><svg:svg xmlns:svg=http://www.w3.org/2000/svg width=29pt height=17pt class=svg-formula dspmath=mathimg md5hash=06a1e144313624090049b6627390d3e8><svg:image xmlns:xlink=http://www.w3.org/1999/xlink xlink:href=acp-21-8677-2021-ie00001.svg width=29pt height=17pt src=acp-21-8677-2021-ie00001.png/></svg:svg> (29â%), <math xmlns=http://www.w3.org/1998/Math/MathML id=M11 display=inline overflow=scroll dspmath=mathml><mrow class=chem><msubsup><mi mathvariant=normal>NO</mi><mn mathvariant=normal>3</mn><mo>-</mo></msubsup></mrow></math><svg:svg xmlns:svg=http://www.w3.org/2000/svg width=25pt height=16pt class=svg-formula dspmath=mathimg md5hash=eb51cd45ba2a21283d090226a04e61ba><svg:image xmlns:xlink=http://www.w3.org/1999/xlink xlink:href=acp-21-8677-2021-ie00002.svg width=25pt height=16pt src=acp-21-8677-2021-ie00002.png/></svg:svg> (29â%), and <math xmlns=http://www.w3.org/1998/Math/MathML id=M13 display=inline overflow=scroll dspmath=mathml><mrow class=chem><msubsup><mi mathvariant=normal>NH</mi><mn mathvariant=normal>4</mn><mo>+</mo></msubsup></mrow></math><svg:svg xmlns:svg=http://www.w3.org/2000/svg width=24pt height=15pt class=svg-formula dspmath=mathimg md5hash=9d8f7ee8bf88d657d75cdcf077dbe3e2><svg:image xmlns:xlink=http://www.w3.org/1999/xlink xlink:href=acp-21-8677-2021-ie00003.svg width=24pt height=15pt src=acp-21-8677-2021-ie00003.png/></svg:svg> (21â%) (p<0.05). The positive matrix factorization (PMF) result suggested that the contribution ratios of secondary formation (SF), industrial process (IP), biomass burning (BB), coal combustion (CC), and road dust (RD) changed from 36â%, 27â%, 21â%, 12â%, and 4â% before the COVID-19 outbreak to 44â%, 20â%, 20â%, 9â%, and 7â%, respectively. The rapid increase in the contribution ratio derived from SF to PM2.5 implied that the intermittent haze events during the COVID-19 period were characterized by secondary aerosol pollution, which was mainly contributed by the unfavorable meteorological conditions and high NH3 level." @default.
W4247029774 created "2022-05-12" @default.
W4247029774 creator A5000891663 @default.
W4247029774 date "2021-03-27" @default.
W4247029774 modified "2023-10-01" @default.
W4247029774 title "Reply on RC2" @default.
W4247029774 doi "https://doi.org/10.5194/acp-2020-1199-ac3" @default.
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