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.
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.
the Creative Commons Attribution 4.0 License.
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
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute,
5232 Villigen PSI, Switzerland
Anna Tobler
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute,
5232 Villigen PSI, Switzerland
Houssni Lamkaddam
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute,
5232 Villigen PSI, Switzerland
Francesco Canonaco
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute,
5232 Villigen PSI, Switzerland
Kaspar R. Daellenbach
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute,
5232 Villigen PSI, Switzerland
now at: Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, P.O. Box 64, 00014,
Helsinki, Finland
Jean-Luc Jaffrezo
Université Grenoble Alpes, CNRS, IRD, G-INP, IGE, 38000 Grenoble,
France
María Cruz Minguillón
Institute of Environmental Assessment and Water Research (IDAEA),
CSIC, 08034 Barcelona, Spain
Marek Maasikmets
Estonian Environmental Research Centre, 10617, Tallinn, Estonia
Erik Teinemaa
Estonian Environmental Research Centre, 10617, Tallinn, Estonia
Urs Baltensperger
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute,
5232 Villigen PSI, Switzerland
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute,
5232 Villigen PSI, Switzerland
André S. H. Prévôt
CORRESPONDING AUTHOR
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute,
5232 Villigen PSI, Switzerland
Data sets
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 A. Vlachou, A. Tobler, H. Lamkaddam, F. Canonaco, K. R. Daellenbach, J.-L. Jaffrezo, M. C. Minguillon, M. Maasikmets, E. Teinemaa, U. Baltensperger, I. El Haddad, and A. S. H. Pr\'{e}v\^{o}t https://doi.org/10.5281/zenodo.3218429
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.
The resolution of rotational ambiguity in positive matrix factorization (PMF) models is a major...
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