Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 25, issue 2
Articles | Volume 25, issue 2
https://doi.org/10.5194/acp-25-905-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-905-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 2
Research article
 | 
23 Jan 2025
Research article |  | 23 Jan 2025

Understanding summertime peroxyacetyl nitrate (PAN) formation and its relation to aerosol pollution: insights from high-resolution measurements and modeling

Baoye Hu, Naihua Chen, Rui Li, Mingqiang Huang, Jinsheng Chen, Youwei Hong, Lingling Xu, Xiaolong Fan, Mengren Li, Lei Tong, Qiuping Zheng, and Yuxiang Yang

Viewed

Total article views: 1,343 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
866 169 308 1,343 34 10 9
  • HTML: 866
  • PDF: 169
  • XML: 308
  • Total: 1,343
  • Supplement: 34
  • BibTeX: 10
  • EndNote: 9
Views and downloads (calculated since 09 Sep 2024)
Cumulative views and downloads (calculated since 09 Sep 2024)

Viewed (geographical distribution)

Total article views: 1,343 (including HTML, PDF, and XML) Thereof 1,306 with geography defined and 37 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 26 Feb 2025
Download
Short summary
Box modeling with the Master Chemical Mechanism (MCM) was used to explore summertime peroxyacetyl nitrate (PAN) formation and its link to aerosol pollution under high-ozone conditions. The MCM model is effective in the study of PAN photochemical formation and performed better during the clean period than the haze period. Machine learning analysis identified ammonia, nitrate, and fine particulate matter as the top three factors contributing to simulation bias.
Read more
Share
Altmetrics
Final-revised paper
Preprint