Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 19, issue 2
Articles | Volume 19, issue 2
https://doi.org/10.5194/acp-19-973-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-973-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 2
Research article
 | Highlight paper
 | 
24 Jan 2019
Research article | Highlight paper |  | 24 Jan 2019

Positive matrix factorization of organic aerosol: insights from a chemical transport model

Anthoula D. Drosatou, Ksakousti Skyllakou, Georgia N. Theodoritsi, and Spyros N. Pandis

Viewed

Total article views: 5,252 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
4,116 1,053 83 5,252 431 67 74
  • HTML: 4,116
  • PDF: 1,053
  • XML: 83
  • Total: 5,252
  • Supplement: 431
  • BibTeX: 67
  • EndNote: 74
Views and downloads (calculated since 13 Aug 2018)
Cumulative views and downloads (calculated since 13 Aug 2018)

Viewed (geographical distribution)

Total article views: 5,252 (including HTML, PDF, and XML) Thereof 4,980 with geography defined and 272 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
Short summary
The ability of positive matrix factorization (PMF) factor analysis to identify and quantify the organic aerosol (OA) sources accurately is tested in this modeling study. The estimated uncertainty of the contribution of fresh biomass burning is less than 30 % and of the other primary sources is less than 40 %, when these sources contribute more than 20 % to the OA. Τhe first oxygenated OA factor includes mainly highly aged OA, while the second oxygenated OA factor contains fresher secondary OA.
Read more
Altmetrics
Final-revised paper
Preprint