Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.414 IF 5.414
  • IF 5-year value: 5.958 IF 5-year
    5.958
  • CiteScore value: 9.7 CiteScore
    9.7
  • SNIP value: 1.517 SNIP 1.517
  • IPP value: 5.61 IPP 5.61
  • SJR value: 2.601 SJR 2.601
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 191 Scimago H
    index 191
  • h5-index value: 89 h5-index 89
Volume 17, issue 22
Atmos. Chem. Phys., 17, 13921–13940, 2017
https://doi.org/10.5194/acp-17-13921-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Regional transport and transformation of air pollution in...

Atmos. Chem. Phys., 17, 13921–13940, 2017
https://doi.org/10.5194/acp-17-13921-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 23 Nov 2017

Research article | 23 Nov 2017

The role of meteorological conditions and pollution control strategies in reducing air pollution in Beijing during APEC 2014 and Victory Parade 2015

Pengfei Liang et al.

Viewed

Total article views: 2,998 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,028 897 73 2,998 283 37 97
  • HTML: 2,028
  • PDF: 897
  • XML: 73
  • Total: 2,998
  • Supplement: 283
  • BibTeX: 37
  • EndNote: 97
Views and downloads (calculated since 29 May 2017)
Cumulative views and downloads (calculated since 29 May 2017)

Viewed (geographical distribution)

Total article views: 2,859 (including HTML, PDF, and XML) Thereof 2,842 with geography defined and 17 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

No saved metrics found.

Saved (preprint)

No saved metrics found.

Discussed (final revised paper)

No discussed metrics found.

Discussed (preprint)

No discussed metrics found.
Latest update: 14 Aug 2020
Publications Copernicus
Download
Short summary
The generalized linear regression model (GLM), even based only on meteorological parameters, could be satisfactory to estimate the contribution of meteorological conditions in reducing air pollution and hence the contribution of control strategies in reducing air pollution. Using the GLM, we found that the meteorological conditions and pollution control strategies contributed 30 % and 28 % to the reduction of the PM2.5 concentration during APEC 2014 and 38 % and 25 % during Parade 2015.
The generalized linear regression model (GLM), even based only on meteorological parameters,...
Citation
Final-revised paper
Preprint