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.
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
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
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Cited
16 citations as recorded by crossref.
- Disparities in particulate matter (PM<sub>10</sub>) origins and oxidative potential at a city scale (Grenoble, France) – Part 1: Source apportionment at three neighbouring sites L. Borlaza et al. 10.5194/acp-21-5415-2021
- Isotopic signatures and source apportionment of Pb in ambient PM2.5 C. Jung et al. 10.1038/s41598-022-08096-1
- Mediterranean nascent sea spray organic aerosol and relationships with seawater biogeochemistry E. Freney et al. 10.5194/acp-21-10625-2021
- Organic aerosol sources in Krakow, Poland, before implementation of a solid fuel residential heating ban R. Casotto et al. 10.1016/j.scitotenv.2022.158655
- Quantification of primary and secondary organic aerosol sources by combined factor analysis of extractive electrospray ionisation and aerosol mass spectrometer measurements (EESI-TOF and AMS) Y. Tong et al. 10.5194/amt-15-7265-2022
- A 1-year aerosol chemical speciation monitor (ACSM) source analysis of organic aerosol particle contributions from anthropogenic sources after long-range transport at the TROPOS research station Melpitz S. Atabakhsh et al. 10.5194/acp-23-6963-2023
- Seasonal trend and source identification of polycyclic aromatic hydrocarbons associated with fine particulate matters (PM2.5) in Isfahan City, Iran, using diagnostic ratio and PMF model M. Soleimani et al. 10.1007/s11356-021-17635-8
- Hygroscopic behavior of aerosols generated from solutions of 3-methyl-1,2,3-butanetricarboxylic acid, its sodium salts, and its mixtures with NaCl L. Wu et al. 10.5194/acp-20-14103-2020
- Large contribution to secondary organic aerosol from isoprene cloud chemistry H. Lamkaddam et al. 10.1126/sciadv.abe2952
- Organic aerosol source apportionment by using rolling positive matrix factorization: Application to a Mediterranean coastal city B. Chazeau et al. 10.1016/j.aeaoa.2022.100176
- An alternative semi-quantitative GC/MS method to estimate levels of airborne intermediate volatile organic compounds (IVOCs) in ambient air B. Ren et al. 10.1016/j.aeaoa.2020.100075
- Chemical composition and sources of organic aerosol on the Adriatic coast in Croatia R. Casotto et al. 10.1016/j.aeaoa.2022.100159
- Equal abundance of summertime natural and wintertime anthropogenic Arctic organic aerosols V. Moschos et al. 10.1038/s41561-021-00891-1
- Spatio-temporal variation of C-PM2.5 (composition based PM2.5) sources using PMF*PMF (double-PMF) and single-combined PMF technique on real-time non-refractory, BC and elemental measurements during post-monsoon and winter at two sites in Delhi, India A. Shukla et al. 10.1016/j.atmosenv.2022.119456
- Source apportionment of atmospheric PM<sub>10</sub> oxidative potential: synthesis of 15 year-round urban datasets in France S. Weber et al. 10.5194/acp-21-11353-2021
- Impact of aging on the sources, volatility, and viscosity of organic aerosols in Chinese outflows T. Feng et al. 10.5194/acp-23-611-2023
16 citations as recorded by crossref.
- Disparities in particulate matter (PM<sub>10</sub>) origins and oxidative potential at a city scale (Grenoble, France) – Part 1: Source apportionment at three neighbouring sites L. Borlaza et al. 10.5194/acp-21-5415-2021
- Isotopic signatures and source apportionment of Pb in ambient PM2.5 C. Jung et al. 10.1038/s41598-022-08096-1
- Mediterranean nascent sea spray organic aerosol and relationships with seawater biogeochemistry E. Freney et al. 10.5194/acp-21-10625-2021
- Organic aerosol sources in Krakow, Poland, before implementation of a solid fuel residential heating ban R. Casotto et al. 10.1016/j.scitotenv.2022.158655
- Quantification of primary and secondary organic aerosol sources by combined factor analysis of extractive electrospray ionisation and aerosol mass spectrometer measurements (EESI-TOF and AMS) Y. Tong et al. 10.5194/amt-15-7265-2022
- A 1-year aerosol chemical speciation monitor (ACSM) source analysis of organic aerosol particle contributions from anthropogenic sources after long-range transport at the TROPOS research station Melpitz S. Atabakhsh et al. 10.5194/acp-23-6963-2023
- Seasonal trend and source identification of polycyclic aromatic hydrocarbons associated with fine particulate matters (PM2.5) in Isfahan City, Iran, using diagnostic ratio and PMF model M. Soleimani et al. 10.1007/s11356-021-17635-8
- Hygroscopic behavior of aerosols generated from solutions of 3-methyl-1,2,3-butanetricarboxylic acid, its sodium salts, and its mixtures with NaCl L. Wu et al. 10.5194/acp-20-14103-2020
- Large contribution to secondary organic aerosol from isoprene cloud chemistry H. Lamkaddam et al. 10.1126/sciadv.abe2952
- Organic aerosol source apportionment by using rolling positive matrix factorization: Application to a Mediterranean coastal city B. Chazeau et al. 10.1016/j.aeaoa.2022.100176
- An alternative semi-quantitative GC/MS method to estimate levels of airborne intermediate volatile organic compounds (IVOCs) in ambient air B. Ren et al. 10.1016/j.aeaoa.2020.100075
- Chemical composition and sources of organic aerosol on the Adriatic coast in Croatia R. Casotto et al. 10.1016/j.aeaoa.2022.100159
- Equal abundance of summertime natural and wintertime anthropogenic Arctic organic aerosols V. Moschos et al. 10.1038/s41561-021-00891-1
- Spatio-temporal variation of C-PM2.5 (composition based PM2.5) sources using PMF*PMF (double-PMF) and single-combined PMF technique on real-time non-refractory, BC and elemental measurements during post-monsoon and winter at two sites in Delhi, India A. Shukla et al. 10.1016/j.atmosenv.2022.119456
- Source apportionment of atmospheric PM<sub>10</sub> oxidative potential: synthesis of 15 year-round urban datasets in France S. Weber et al. 10.5194/acp-21-11353-2021
- Impact of aging on the sources, volatility, and viscosity of organic aerosols in Chinese outflows T. Feng et al. 10.5194/acp-23-611-2023
Latest update: 01 Oct 2023
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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