Articles | Volume 19, issue 11
Atmos. Chem. Phys., 19, 7279–7295, 2019
https://doi.org/10.5194/acp-19-7279-2019
Atmos. Chem. Phys., 19, 7279–7295, 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 et al.

Viewed

Total article views: 1,958 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,204 719 35 1,958 285 25 42
  • HTML: 1,204
  • PDF: 719
  • XML: 35
  • Total: 1,958
  • Supplement: 285
  • BibTeX: 25
  • EndNote: 42
Views and downloads (calculated since 07 Nov 2018)
Cumulative views and downloads (calculated since 07 Nov 2018)

Viewed (geographical distribution)

Total article views: 1,837 (including HTML, PDF, and XML) Thereof 1,821 with geography defined and 16 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 Aug 2022
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