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

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Cited articles

Alfarra, M. R., Prevot, A. H. S., Szidat, S., Sandradewi, J., Weimer, S., Lanz, V. A., Schreiber, D., Mohr, M., and Baltensperger, U.: Identification of the mass spectral signature of organic aerosols from wood burning emissions, Environ. Sci. Technol., 41, 5770–5777, https://doi.org/10.1021/es062289b, 2007. 
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Bozzetti, C., Sosedova, Y., Xiao, M., Daellenbach, K. R., Ulevicius, V., Dudoitis, V., Mordas, G., Bycenkiene, S., Plauškaite, K., Vlachou, A., Golly, B., Chazeau, B., Besombes, J.-L., Baltensperger, U., Jaffrezo, J.-L., Slowik, J. G., El Haddad, I., and Prévôt, A. S. H.: Argon offline-AMS source apportionment of organic aerosol over yearly cycles for an urban, rural, and marine site in northern Europe, Atmos. Chem. Phys., 17, 117–141, https://doi.org/10.5194/acp-17-117-2017, 2017a. 
Bozzetti, C., El Haddad, I., Salameh, D., Daellenbach, K. R., Fermo, P., Gonzalez, R., Minguillón, M. C., Iinuma, Y., Poulain, L., Elser, M., Müller, E., Slowik, J. G., Jaffrezo, J.-L., Baltensperger, U., Marchand, N., and Prévôt, A. S. H.: Organic aerosol source apportionment by offline-AMS over a full year in Marseille, Atmos. Chem. Phys., 17, 8247–8268, https://doi.org/10.5194/acp-17-8247-2017, 2017b. 
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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.
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