The impact of COVID-19 control measures on air quality in China

Abstract The outbreak of Coronavirus Disease 2019 (COVID-19) in China in January 2020 prompted substantial control measures including social distancing measures, suspension of public transport and industry, and widespread cordon sanitaires (‘lockdowns’), that have led to a decrease in industrial activity and air pollution emissions over a prolonged period. We use a 5 year dataset from China’s air quality monitoring network to assess the impact of control measures on air pollution. Pollutant concentration time series are decomposed to account for the inter-annual trend, seasonal cycles and the effect of Lunar New Year, which coincided with the COVID-19 outbreak. Over 2015–2019, there were significant negative trends in particulate matter (PM 2.5 , −6% yr −1 ) and sulphur dioxide (SO 2 , −12% yr −1 ) and nitrogen dioxide (NO 2 , −2.2% yr −1 ) whereas there were positive trends in ozone (O 3 , + 2.8% yr −1 ). We quantify the change in air quality during the LNY holiday week, during which pollutant concentrations increase on LNY’s day, followed by reduced concentrations in the rest of the week. After accounting for interannual trends and LNY we find NO 2 and PM concentrations were significantly lower during the lockdown period than would be expected, but there were no significant impacts on O 3 . Largest reductions occurred in NO 2 , with concentrations 27.0% lower on average across China, during the lockdown. Average concentrations of PM 2.5 and PM 10 across China were respectively 10.5% and 21.4% lower during the lockdown period. The largest reductions were in Hubei province, where NO 2 concentrations were 50.5% lower than expected during the lockdown. Concentrations of affected pollutants returned to expected levels during April, after control measures were relaxed.