【摘 要】
：
This study investigated concentrations of PM2.5,PM10,SO2,NO2,CO and O3,and air quality index (AQI) values across 368 cities in mainland China during 2015-2018.The study further examined relationships of air pollution status with local industrial capacitie
【机 构】
：
ARC Research Hub for Computational Particle Technology,Macquarie University,Sydney,New South Wales 2
论文部分内容阅读
This study investigated concentrations of PM2.5,PM10,SO2,NO2,CO and O3,and air quality index (AQI) values across 368 cities in mainland China during 2015-2018.The study further examined relationships of air pollution status with local industrial capacities and vehicle possessions.Strong correlations were found between industrial capacities (coal,pig iron,crude steel and rolled steel) and air pollution levels.Although statistical and significant reductions of PM2.5,PM1o,SO2,NO2,CO and AQI values were observed in response to var-ious laws and regulations in industrial sectors,both particle and gaseous pollutants still had annual average concentrations above recommended limits.In order to further reduce air pollution,more efforts can be done to control traffic emissions caused by minicars and heavy trucks,which was revealed after investigating 16 vehicle types.This was also consis-tent with the apparent air quality improvement during the COVID-19 lockdown period in China in 2020,despite industrial operations being still active at full capacities.
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