Articles | Volume 22, issue 13
Atmos. Chem. Phys., 22, 8597–8615, 2022
https://doi.org/10.5194/acp-22-8597-2022
Atmos. Chem. Phys., 22, 8597–8615, 2022
https://doi.org/10.5194/acp-22-8597-2022
Research article
05 Jul 2022
Research article | 05 Jul 2022

Dramatic changes in atmospheric pollution source contributions for a coastal megacity in northern China from 2011 to 2020

Baoshuang Liu et al.

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Short summary
Understanding effectiveness of air pollution regulatory measures is critical for control policy. Machine learning and dispersion-normalized approaches were applied to decouple meteorologically deduced variations in Qingdao, China. Most pollutant concentrations decreased substantially after the Clean Air Action Plan. The largest emission reduction was from coal combustion and steel-related smelting. Qingdao is at risk of increased emissions from increased vehicular population and ozone pollution.
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