Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 25, issue 7
Articles | Volume 25, issue 7
https://doi.org/10.5194/acp-25-3919-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-3919-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 7
Research article
 | 
08 Apr 2025
Research article |  | 08 Apr 2025

Driving factors of aerosol acidity: a new hierarchical quantitative analysis framework and its application in Changzhou, China

Xiaolin Duan, Guangjie Zheng, Chuchu Chen, Qiang Zhang, and Kebin He

Viewed

Total article views: 490 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
393 80 17 490 48 9 11
  • HTML: 393
  • PDF: 80
  • XML: 17
  • Total: 490
  • Supplement: 48
  • BibTeX: 9
  • EndNote: 11
Views and downloads (calculated since 29 Nov 2024)
Cumulative views and downloads (calculated since 29 Nov 2024)

Viewed (geographical distribution)

Total article views: 490 (including HTML, PDF, and XML) Thereof 487 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 15 Apr 2025
Download
Short summary
Aerosol acidity is an important parameter in atmospheric chemistry, while its driving factors, especially chemical profiles versus meteorological conditions, are not yet fully understood. Here, we established a hierarchical quantitative analysis framework to understand the driving factors of aerosol acidity on different timescales. Its application in Changzhou, China, revealed distinct driving factors and corresponding mechanisms of aerosol acidity from annual trends to random residuals.
Read more
Share
Altmetrics
Final-revised paper
Preprint