Journal
ATMOSPHERIC ENVIRONMENT
Volume 306, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.atmosenv.2023.119827
Keywords
Winter -autumn air pollution control plan; PM (2.5) compositions and sources; North China; Central China; Machine -learning technique
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This study investigates the additional impact of emission-reduction measures in North China during autumn and winter on the air quality of downwind regions. Through analysis of air pollutants and PM2.5 composition and sources in a megacity of Central China, it was found that emission-related PM2.5 and organic materials exhibited significant increases in 2019 compared to 2018. The study emphasizes the importance of joint air pollution control measures across different regions.
The additional impact of emission-reduction measures in North China (NC) during autumn and winter on the air quality of downwind regions is an interesting but less addressed topic. The mass concentrations of routine air pollutants, the chemical compositions, and sources of fine particles (PM2.5) for January 2018, 2019, and 2020 at a megacity of Central China were identified, and meteorology-isolated by a machine-learning technique. Their variations were classified according to air mass direction. An unexpectedly sharp increase in emission-related PM2.5 by 22.7% (18.0 mu gm(- 3)) and 25.7% (19.4 mu gm(-3)) for air masses from local and NC in 2019 was observed compared to those of 2018. Organic materials exhibited the highest increase in PM2.5 compositions by 6.90 mu gm(-3) and 6.23 mu g m(- 3) for the air masses from local and NC. PM2.5 source contributions related to emission showed an upsurge from 1.39 mu gm(-3) (biomass burning) to 24.9 mu gm(-3) (secondary inorganic aerosol) in 2019 except for industrial processes, while all reduced in 2020. From 2018 to 2020, the emission-related contribution of coal combustion to PM2.5 increased from 10.0% to 19.0% for air masses from the local area. To support the priority natural gas quotas in northern China, additional coal in cities of southern China was consumed, raising related emissions from transportation activities and road dust in urban regions, as well as additional biofuel consumption in suburban or rural regions. All these activities could explain the increased primary PM2.5 and related precursor NO2. This study gave substantial evidence of air pollution control measures impacting the downwind regions and promote the necessity of air pollution joint control across the administration.
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