Articles | Volume 18, issue 23
https://doi.org/10.5194/acp-18-17717-2018
https://doi.org/10.5194/acp-18-17717-2018
Research article
 | 
13 Dec 2018
Research article |  | 13 Dec 2018

Contributions to the explosive growth of PM2.5 mass due to aerosol–radiation feedback and decrease in turbulent diffusion during a red alert heavy haze in Beijing–Tianjin–Hebei, China

Hong Wang, Yue Peng, Xiaoye Zhang, Hongli Liu, Meng Zhang, Huizheng Che, Yanli Cheng, and Yu Zheng

Viewed

Total article views: 3,211 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,136 996 79 3,211 59 82
  • HTML: 2,136
  • PDF: 996
  • XML: 79
  • Total: 3,211
  • BibTeX: 59
  • EndNote: 82
Views and downloads (calculated since 12 Jun 2018)
Cumulative views and downloads (calculated since 12 Jun 2018)

Viewed (geographical distribution)

Total article views: 3,211 (including HTML, PDF, and XML) Thereof 3,059 with geography defined and 152 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
Short summary
The explosive growth (EG) of PM2.5 resulted in a PM2.5 maximum, which was generally underestimated by atmospheric chemical models due to the deficient description of the local turbulence intermittent. The aerosol–radiation feedback (AF) and decrease in turbulence diffusion (DTD) may reduce the underestimation of PM2.5 EG by 20–25% and 14–20%, respectively. The modeled EG stage PM2.5 error was decreased from −40 to −51% to −11 to 2% by the combined effects of AF and DTD in Jing–Jin–Ji.
Altmetrics
Final-revised paper
Preprint