Journal
ENVIRONMETRICS
Volume 32, Issue 2, Pages -Publisher
WILEY
DOI: 10.1002/env.2673
Keywords
difference in relative‐ difference method; meteorological adjustment; treatment effects estimation
Categories
Funding
- China's National Key Research Special Program [2016YFC0207701, 2016YFC0207702]
- Fundamental Research Funds for the Central Universities [JBK1806002, JBK2102008]
- National Natural Science Foundation of China [11701466, 11971390, 92046021, 12026607, 71973005, 71991472]
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The COVID-19 pandemic has significantly reduced human activities and anthropogenic emissions, leading to a decline in major air pollutants, with NO2 showing the largest decrease. Large reductions in anthropogenic emissions can effectively improve air quality.
Corona virus disease-19 (COVID-19) has substantially reduced human activities and the associated anthropogenic emissions. This study quantifies the effects of COVID-19 control measures on six major air pollutants over 68 cities in North China by a Difference in Relative-Difference method that allows estimation of the COVID-19 effects while taking account of the general annual air quality trends, temporal and meteorological variations, and the spring festival effects. Significant COVID-19 effects on all six major air pollutants are found, with NO2 having the largest decline (-39.6%), followed by PM2.5 (-30.9%), O-3 (-16.3%), PM10 (-14.3%), CO (-13.9%), and the least in SO2 (-10.0%), which shows the achievability of air quality improvement by a large reduction in anthropogenic emissions. The heterogeneity of effects among the six pollutants and different regions can be partly explained by coal consumption and industrial output data.
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