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

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

doi:https://doi.org/10.5194/acp-19-7279-2019

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

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Final revised paper (published on 03 Jun 2019)
Supplement to the final revised paper
Preprint (discussion started on 07 Nov 2018)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Development of a versatile source apportionment analysis based on positive matrix factorization', Anonymous Referee #1, 11 Dec 2018
- AC1: 'Response to anonymous reviewer#1', Athanasia Vlachou, 21 Mar 2019
RC2: 'Review Comments', Anonymous Referee #2, 21 Dec 2018
- AC2: 'Response to anonymous reviewer#2', Athanasia Vlachou, 21 Mar 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Athanasia Vlachou on behalf of the Authors (15 Apr 2019)

ED: Publish subject to technical corrections (18 Apr 2019) by James Allan

AR by Athanasia Vlachou on behalf of the Authors (26 Apr 2019) Author's response Manuscript

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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.