Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
Articles | Volume 22, issue 13
Articles | Volume 22, issue 13
Atmos. Chem. Phys., 22, 8597–8615, 2022
https://doi.org/10.5194/acp-22-8597-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 22, 8597–8615, 2022
https://doi.org/10.5194/acp-22-8597-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 13
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.

Viewed

Total article views: 2,003 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,614 366 23 2,003 100 7 25
  • HTML: 1,614
  • PDF: 366
  • XML: 23
  • Total: 2,003
  • Supplement: 100
  • BibTeX: 7
  • EndNote: 25
Views and downloads (calculated since 11 Feb 2022)
Cumulative views and downloads (calculated since 11 Feb 2022)

Viewed (geographical distribution)

Total article views: 2,003 (including HTML, PDF, and XML) Thereof 2,002 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 03 Feb 2023
Download
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.
Read more
Altmetrics
Final-revised paper
Preprint