Articles | Volume 15, issue 18
https://doi.org/10.5194/amt-15-5479-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-5479-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Sep 2022
Research article |
| 27 Sep 2022
| 27 Sep 2022
Rolling vs. seasonal PMF: real-world multi-site and synthetic dataset comparison
Institute of Environmental Assessment and Water Research, Barcelona, 08034, Spain
Department of Applied Physics, University of Barcelona, Barcelona,
08028, Spain
Gang Chen
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232
Villigen PSI, Switzerland
now at: MRC Centre for Environment and Health, Environmental Research Group, Imperial College London, London, UK
Francesco Canonaco
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232
Villigen PSI, Switzerland
Datalystica Ltd., Park innovAARE, 5234 Villigen, Switzerland
Kaspar R. Daellenbach
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232
Villigen PSI, Switzerland
Benjamin Chazeau
Aix Marseille Univ., CNRS, LCE, Marseille, France
Hasna Chebaicheb
IMT Nord Europe, Institut Mines-Télécom, Univ. Lille, Centre for Energy and Environment, 59000 Lille, France
Institut National de l'Environnement Industriel et des Risques, Parc Technologique ALATA, 60550, Verneuil-en-Halatte, France
Jianhui Jiang
Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, School of Ecological and Environmental Sciences, East China Normal University, 200241 Shanghai, China
Hannes Keernik
Air Quality and Climate Department, Estonian Environmental Research
Centre, Marja 4d, 10617 Tallinn, Estonia
Department of Software Science, Tallinn University of Technology,
19086 Tallinn, Estonia
Chunshui Lin
School of Physics and Centre for Climate and Air Pollution Studies, Ryan Institute, National University of Ireland Galway, University Road, H91CF50 Galway, Ireland
Nicolas Marchand
Aix Marseille Univ., CNRS, LCE, Marseille, France
Cristina Marin
National Institute of Research and Development for Optoelectronics
INOE2000, Atomistilor 409, RO77125 Magurele, Romania
Department of Physics, Politehnica University of Bucharest, 313 Spl. Independentei Str., Bucharest, Romania
Colin O'Dowd
School of Physics and Centre for Climate and Air Pollution Studies, Ryan Institute, National University of Ireland Galway, University Road, H91CF50 Galway, Ireland
Jurgita Ovadnevaite
School of Physics and Centre for Climate and Air Pollution Studies, Ryan Institute, National University of Ireland Galway, University Road, H91CF50 Galway, Ireland
Jean-Eudes Petit
Laboratoire des Sciences du Climat et de l'Environnement, Orme des
Merisiers, 91190 Gif-sur-Yvette, France
Michael Pikridas
Climate and Atmosphere Research Center, The Cyprus Institute,
Nicosia, 2121, Cyprus
Véronique Riffault
IMT Nord Europe, Institut Mines-Télécom, Univ. Lille, Centre for Energy and Environment, 59000 Lille, France
Jean Sciare
Climate and Atmosphere Research Center, The Cyprus Institute,
Nicosia, 2121, Cyprus
Jay G. Slowik
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232
Villigen PSI, Switzerland
Leïla Simon
Institut National de l'Environnement Industriel et des Risques, Parc Technologique ALATA, 60550, Verneuil-en-Halatte, France
Department of Physics, Politehnica University of Bucharest, 313 Spl. Independentei Str., Bucharest, Romania
Jeni Vasilescu
National Institute of Research and Development for Optoelectronics
INOE2000, Atomistilor 409, RO77125 Magurele, Romania
Yunjiang Zhang
Institut National de l'Environnement Industriel et des Risques, Parc Technologique ALATA, 60550, Verneuil-en-Halatte, France
Department of Physics, Politehnica University of Bucharest, 313 Spl. Independentei Str., Bucharest, Romania
Olivier Favez
Institut National de l'Environnement Industriel et des Risques, Parc Technologique ALATA, 60550, Verneuil-en-Halatte, France
André S. H. Prévôt
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232
Villigen PSI, Switzerland
Andrés Alastuey
Institute of Environmental Assessment and Water Research, Barcelona, 08034, Spain
María Cruz Minguillón
Institute of Environmental Assessment and Water Research, Barcelona, 08034, Spain
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Cited
9 citations as recorded by crossref.
- Source apportionment for indoor air pollution: Current challenges and future directions D. Saraga et al. 10.1016/j.scitotenv.2023.165744
- Mapping Source-Specific Air Pollution Exposures Using Positive Matrix Factorization Applied to Multipollutant Mobile Monitoring in Seattle, WA N. Liu et al. 10.1021/acs.est.4c13242
- Temporal dynamics and source characteristics of fine particulate matter using Positive Matrix Factorization (PMF) V. Kumar et al. 10.1016/j.apr.2025.102539
- Long-range transport of air pollutants increases the concentration of hazardous components of PM2.5 in northern South America M. Velásquez-García et al. 10.5194/acp-24-11497-2024
- An Ensemble Machine Learning Approach for Predicting Sources of Organic Aerosols Measured by Aerosol Mass Spectrometry Y. Zhang et al. 10.1021/acsestair.4c00262
- Assessing the Impact of Non-Exhaust Emissions on the Asthmatic Airway (IONA) Protocol for a Randomised Three-Exposure Crossover Study J. Scales et al. 10.3390/ijerph21070895
- Source Apportionment of Fine Particulate Matter in Wuhan: Application of Rolling Positive Matrix Factorization Under Different Seasons and Episodic Events Z. Guo et al. 10.1007/s44408-025-00005-1
- Substantial contribution of transported emissions to organic aerosol in Beijing K. Daellenbach et al. 10.1038/s41561-024-01493-3
- Influence of meteorological conditions and seasonality on PM1 and organic aerosol sources at a rural background site R. Lhotka et al. 10.1016/j.atmosenv.2025.121028
9 citations as recorded by crossref.
- Source apportionment for indoor air pollution: Current challenges and future directions D. Saraga et al. 10.1016/j.scitotenv.2023.165744
- Mapping Source-Specific Air Pollution Exposures Using Positive Matrix Factorization Applied to Multipollutant Mobile Monitoring in Seattle, WA N. Liu et al. 10.1021/acs.est.4c13242
- Temporal dynamics and source characteristics of fine particulate matter using Positive Matrix Factorization (PMF) V. Kumar et al. 10.1016/j.apr.2025.102539
- Long-range transport of air pollutants increases the concentration of hazardous components of PM2.5 in northern South America M. Velásquez-García et al. 10.5194/acp-24-11497-2024
- An Ensemble Machine Learning Approach for Predicting Sources of Organic Aerosols Measured by Aerosol Mass Spectrometry Y. Zhang et al. 10.1021/acsestair.4c00262
- Assessing the Impact of Non-Exhaust Emissions on the Asthmatic Airway (IONA) Protocol for a Randomised Three-Exposure Crossover Study J. Scales et al. 10.3390/ijerph21070895
- Source Apportionment of Fine Particulate Matter in Wuhan: Application of Rolling Positive Matrix Factorization Under Different Seasons and Episodic Events Z. Guo et al. 10.1007/s44408-025-00005-1
- Substantial contribution of transported emissions to organic aerosol in Beijing K. Daellenbach et al. 10.1038/s41561-024-01493-3
- Influence of meteorological conditions and seasonality on PM1 and organic aerosol sources at a rural background site R. Lhotka et al. 10.1016/j.atmosenv.2025.121028
Latest update: 10 Jul 2025
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Short summary
This work presents the differences resulting from two techniques (rolling and seasonal) of the positive matrix factorisation model that can be run for organic aerosol source apportionment. The current state of the art suggests that the rolling technique is more accurate, but no proof of its effectiveness has been provided yet. This paper tackles this issue in the context of a synthetic dataset and a multi-site real-world comparison.
This work presents the differences resulting from two techniques (rolling and seasonal) of the...
