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

Journal metrics

IF value: 5.414
IF5.414
IF 5-year value: 5.958
IF 5-year
5.958
CiteScore value: 9.7
CiteScore
9.7
SNIP value: 1.517
SNIP1.517
IPP value: 5.61
IPP5.61
SJR value: 2.601
SJR2.601
Scimago H <br class='widget-line-break'>index value: 191
Scimago H
index
191
h5-index value: 89
h5-index89
Volume 18, issue 8
Atmos. Chem. Phys., 18, 5343–5358, 2018
https://doi.org/10.5194/acp-18-5343-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 18, 5343–5358, 2018
https://doi.org/10.5194/acp-18-5343-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 19 Apr 2018

Research article | 19 Apr 2018

Understanding meteorological influences on PM2.5 concentrations across China: a temporal and spatial perspective

Ziyue Chen et al.

Viewed

Total article views: 2,354 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,357 960 37 2,354 32 58
  • HTML: 1,357
  • PDF: 960
  • XML: 37
  • Total: 2,354
  • BibTeX: 32
  • EndNote: 58
Views and downloads (calculated since 24 Jul 2017)
Cumulative views and downloads (calculated since 24 Jul 2017)

Viewed (geographical distribution)

Total article views: 2,311 (including HTML, PDF, and XML) Thereof 2,289 with geography defined and 22 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: 21 Oct 2020
Publications Copernicus
Download
Short summary
With an advanced causality analysis method CCM, we quantified the influence of individual meteorological factors on PM2.5 concentrations and revealed notable spatial and temporal variations of meteorological influences on PM2.5 concentrations across China. Temperature, humidity and wind exert the strongest influences on PM2.5 concentrations in most cities across China. Given the notable spatial variations, meteorological means for reducing PM2.5 concentrations should be designed accordingly.
With an advanced causality analysis method CCM, we quantified the influence of individual...
Citation
Altmetrics
Final-revised paper
Preprint