2020
DOI: 10.5194/acp-20-11423-2020
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Increases in surface ozone pollution in China from 2013 to 2019: anthropogenic and meteorological influences

Abstract: Abstract. Surface ozone data from the Chinese Ministry of Ecology and Environment (MEE) network show sustained increases across the country over the 2013–2019 period. Despite Phase 2 of the Clean Air Action Plan targeting ozone pollution, ozone was higher in 2018–2019 than in previous years. The mean summer 2013–2019 trend in maximum 8 h average (MDA8) ozone was 1.9 ppb a−1 (p<0.01) across China and 3.3 ppb a−1 (p<0.01) over the North China Plain (NCP). Fitting ozone to meteorological variables with a mu… Show more

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Cited by 388 publications
(212 citation statements)
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“…We conducted GEOS-Chem simulations with 2013 and 2019 emissions to understand the effect of changes in anthropogenic emissions on the seasonality of ozone increase in the North China Plain ( Materials and Methods ). NO x emissions in the MEIC inventory for the North China Plain decreased by 30% from 2013 to 2019, VOC emissions stayed flat, and observed PM 2.5 concentrations decreased by about 50% in all seasons ( 8 , 9 , 36 ). Model results shown in Fig.…”
Section: Resultsmentioning
confidence: 96%
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“…We conducted GEOS-Chem simulations with 2013 and 2019 emissions to understand the effect of changes in anthropogenic emissions on the seasonality of ozone increase in the North China Plain ( Materials and Methods ). NO x emissions in the MEIC inventory for the North China Plain decreased by 30% from 2013 to 2019, VOC emissions stayed flat, and observed PM 2.5 concentrations decreased by about 50% in all seasons ( 8 , 9 , 36 ). Model results shown in Fig.…”
Section: Resultsmentioning
confidence: 96%
“…The experience of the COVID-19 lockdown dramatically illustrates how the continuing decrease of NO x emissions in China under the Clean Air Action may lead to high-ozone episodes during the winter haze season. National NO x emissions have decreased by 30% over the 2013 to 2019 period ( 9 , 36 , 46 , 47 ). Fig.…”
Section: Resultsmentioning
confidence: 99%
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