Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 19, issue 11
Articles | Volume 19, issue 11
https://doi.org/10.5194/acp-19-7279-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-7279-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 11
Research article
 | 
03 Jun 2019
Research article |  | 03 Jun 2019

Development of a versatile source apportionment analysis based on positive matrix factorization: a case study of the seasonal variation of organic aerosol sources in Estonia

Athanasia Vlachou, Anna Tobler, Houssni Lamkaddam, Francesco Canonaco, Kaspar R. Daellenbach, Jean-Luc Jaffrezo, María Cruz Minguillón, Marek Maasikmets, Erik Teinemaa, Urs Baltensperger, Imad El Haddad, and André S. H. Prévôt

Viewed

Total article views: 3,389 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,220 1,078 91 3,389 460 88 121
  • HTML: 2,220
  • PDF: 1,078
  • XML: 91
  • Total: 3,389
  • Supplement: 460
  • BibTeX: 88
  • EndNote: 121
Views and downloads (calculated since 07 Nov 2018)
Cumulative views and downloads (calculated since 07 Nov 2018)

Viewed (geographical distribution)

Total article views: 3,389 (including HTML, PDF, and XML) Thereof 3,253 with geography defined and 136 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Nov 2025
Download
Short summary
The resolution of rotational ambiguity in positive matrix factorization (PMF) models is a major challenge. Here, we developed a method based on bootstrapping and correlations to extract environmentally meaningful solutions from PMF analysis based on offline aerosol mass spectrometry data. The method has been tested on a dataset that covers 1 full year of filter samples collected at three different sites in Estonia.
Read more
Share
Altmetrics
Final-revised paper
Preprint