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Organic aerosol components derived from 25 AMS data sets across Europe using a consistent ME-2 based source apportionment approach

Crippa, M.; Canonaco, F.; Lanz, V. A.; Aijala, M.; Allan, J. D.; Carbone, S.; Capes, G.; Ceburnis, D.; Dall'Osto, M. and Day, D. A., et al. (2014) In Atmospheric Chemistry and Physics 14(12). p.6159-6176
Abstract
Organic aerosols (OA) represent one of the major constituents of submicron particulate matter (PM1) and comprise a huge variety of compounds emitted by different sources. Three intensive measurement field campaigns to investigate the aerosol chemical composition all over Europe were carried out within the framework of the European Integrated Project on Aerosol Cloud Climate and Air Quality Interactions (EUCAARI) and the intensive campaigns of European Monitoring and Evaluation Programme (EMEP) during 2008 (May-June and September-October) and 2009 (February-March). In this paper we focus on the identification of the main organic aerosol sources and we define a standardized methodology to perform source apportionment using positive matrix... (More)
Organic aerosols (OA) represent one of the major constituents of submicron particulate matter (PM1) and comprise a huge variety of compounds emitted by different sources. Three intensive measurement field campaigns to investigate the aerosol chemical composition all over Europe were carried out within the framework of the European Integrated Project on Aerosol Cloud Climate and Air Quality Interactions (EUCAARI) and the intensive campaigns of European Monitoring and Evaluation Programme (EMEP) during 2008 (May-June and September-October) and 2009 (February-March). In this paper we focus on the identification of the main organic aerosol sources and we define a standardized methodology to perform source apportionment using positive matrix factorization (PMF) with the multilinear engine (ME-2) on Aerodyne aerosol mass spectrometer (AMS) data. Our source apportionment procedure is tested and applied on 25 data sets accounting for two urban, several rural and remote and two high altitude sites; therefore it is likely suitable for the treatment of AMS-related ambient data sets. For most of the sites, four organic components are retrieved, improving significantly previous source apportionment results where only a separation in primary and secondary OA sources was possible. Generally, our solutions include two primary OA sources, i.e. hydrocarbon-like OA (HOA) and biomass burning OA (BBOA) and two secondary OA components, i.e. semi-volatile oxygenated OA (SV-OOA) and low-volatility oxygenated OA (LV-OOA). For specific sites cooking-related (COA) and marine-related sources (MSA) are also separated. Finally, our work provides a large overview of organic aerosol sources in Europe and an interesting set of highly time resolved data for modeling purposes. (Less)
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Atmospheric Chemistry and Physics
volume
14
issue
12
pages
6159 - 6176
publisher
Copernicus Gesellschaft Mbh
external identifiers
  • wos:000338438300019
  • scopus:84903207744
ISSN
1680-7324
DOI
10.5194/acp-14-6159-2014
project
MERGE
language
English
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@article{2ff6b2a8-224f-4d3b-9ff1-9a13070ae876,
  abstract     = {Organic aerosols (OA) represent one of the major constituents of submicron particulate matter (PM1) and comprise a huge variety of compounds emitted by different sources. Three intensive measurement field campaigns to investigate the aerosol chemical composition all over Europe were carried out within the framework of the European Integrated Project on Aerosol Cloud Climate and Air Quality Interactions (EUCAARI) and the intensive campaigns of European Monitoring and Evaluation Programme (EMEP) during 2008 (May-June and September-October) and 2009 (February-March). In this paper we focus on the identification of the main organic aerosol sources and we define a standardized methodology to perform source apportionment using positive matrix factorization (PMF) with the multilinear engine (ME-2) on Aerodyne aerosol mass spectrometer (AMS) data. Our source apportionment procedure is tested and applied on 25 data sets accounting for two urban, several rural and remote and two high altitude sites; therefore it is likely suitable for the treatment of AMS-related ambient data sets. For most of the sites, four organic components are retrieved, improving significantly previous source apportionment results where only a separation in primary and secondary OA sources was possible. Generally, our solutions include two primary OA sources, i.e. hydrocarbon-like OA (HOA) and biomass burning OA (BBOA) and two secondary OA components, i.e. semi-volatile oxygenated OA (SV-OOA) and low-volatility oxygenated OA (LV-OOA). For specific sites cooking-related (COA) and marine-related sources (MSA) are also separated. Finally, our work provides a large overview of organic aerosol sources in Europe and an interesting set of highly time resolved data for modeling purposes.},
  author       = {Crippa, M. and Canonaco, F. and Lanz, V. A. and Aijala, M. and Allan, J. D. and Carbone, S. and Capes, G. and Ceburnis, D. and Dall'Osto, M. and Day, D. A. and DeCarlo, P. F. and Ehn, M. and Eriksson, Axel and Freney, E. and Ruiz, L. Hildebrandt and Hillamo, R. and Jimenez, J. L. and Junninen, H. and Kiendler-Scharr, A. and Kortelainen, A. -M. and Kulmala, M. and Laaksonen, A. and Mensah, A. and Mohr, C. and Nemitz, E. and O'Dowd, C. and Ovadnevaite, J. and Pandis, S. N. and Petaja, T. and Poulain, L. and Saarikoski, S. and Sellegri, K. and Swietlicki, Erik and Tiitta, P. and Worsnop, D. R. and Baltensperger, U. and Prevot, A. S. H.},
  issn         = {1680-7324},
  language     = {eng},
  number       = {12},
  pages        = {6159--6176},
  publisher    = {Copernicus Gesellschaft Mbh},
  series       = {Atmospheric Chemistry and Physics},
  title        = {Organic aerosol components derived from 25 AMS data sets across Europe using a consistent ME-2 based source apportionment approach},
  url          = {http://dx.doi.org/10.5194/acp-14-6159-2014},
  volume       = {14},
  year         = {2014},
}