Articles | Volume 19, issue 11
https://doi.org/10.5194/acp-19-7279-2019
https://doi.org/10.5194/acp-19-7279-2019
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: 2,641 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,685 905 51 2,641 369 45 61
  • HTML: 1,685
  • PDF: 905
  • XML: 51
  • Total: 2,641
  • Supplement: 369
  • BibTeX: 45
  • EndNote: 61
Views and downloads (calculated since 07 Nov 2018)
Cumulative views and downloads (calculated since 07 Nov 2018)

Viewed (geographical distribution)

Total article views: 2,641 (including HTML, PDF, and XML) Thereof 2,510 with geography defined and 131 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 11 Jul 2024
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.
Altmetrics
Final-revised paper
Preprint