Organic aerosol components derived from 25 AMS data sets across Europe using a consistent ME-2 based source apportionment approach
Organic aerosols (OA) represent one of the major constituents of submicron particulate matter (PM<sub>1</sub>) and comprise a huge variety of compounds emitted by different sources. Three intensive measurement field campaigns to investigate the aerosol chemical composition all over Europ...
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Copernicus Publications
2014-06-01
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Series: | Atmospheric Chemistry and Physics |
Online Access: | http://www.atmos-chem-phys.net/14/6159/2014/acp-14-6159-2014.pdf |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
M. Crippa F. Canonaco V. A. Lanz M. Äijälä J. D. Allan S. Carbone G. Capes D. Ceburnis M. Dall'Osto D. A. Day P. F. DeCarlo M. Ehn A. Eriksson E. Freney L. Hildebrandt Ruiz R. Hillamo J. L. Jimenez H. Junninen A. Kiendler-Scharr A.-M. Kortelainen M. Kulmala A. Laaksonen A. A. Mensah C. Mohr E. Nemitz C. O'Dowd J. Ovadnevaite S. N. Pandis T. Petäjä L. Poulain S. Saarikoski K. Sellegri E. Swietlicki P. Tiitta D. R. Worsnop U. Baltensperger A. S. H. Prévôt |
spellingShingle |
M. Crippa F. Canonaco V. A. Lanz M. Äijälä J. D. Allan S. Carbone G. Capes D. Ceburnis M. Dall'Osto D. A. Day P. F. DeCarlo M. Ehn A. Eriksson E. Freney L. Hildebrandt Ruiz R. Hillamo J. L. Jimenez H. Junninen A. Kiendler-Scharr A.-M. Kortelainen M. Kulmala A. Laaksonen A. A. Mensah C. Mohr E. Nemitz C. O'Dowd J. Ovadnevaite S. N. Pandis T. Petäjä L. Poulain S. Saarikoski K. Sellegri E. Swietlicki P. Tiitta D. R. Worsnop U. Baltensperger A. S. H. Prévôt Organic aerosol components derived from 25 AMS data sets across Europe using a consistent ME-2 based source apportionment approach Atmospheric Chemistry and Physics |
author_facet |
M. Crippa F. Canonaco V. A. Lanz M. Äijälä J. D. Allan S. Carbone G. Capes D. Ceburnis M. Dall'Osto D. A. Day P. F. DeCarlo M. Ehn A. Eriksson E. Freney L. Hildebrandt Ruiz R. Hillamo J. L. Jimenez H. Junninen A. Kiendler-Scharr A.-M. Kortelainen M. Kulmala A. Laaksonen A. A. Mensah C. Mohr E. Nemitz C. O'Dowd J. Ovadnevaite S. N. Pandis T. Petäjä L. Poulain S. Saarikoski K. Sellegri E. Swietlicki P. Tiitta D. R. Worsnop U. Baltensperger A. S. H. Prévôt |
author_sort |
M. Crippa |
title |
Organic aerosol components derived from 25 AMS data sets across Europe using a consistent ME-2 based source apportionment approach |
title_short |
Organic aerosol components derived from 25 AMS data sets across Europe using a consistent ME-2 based source apportionment approach |
title_full |
Organic aerosol components derived from 25 AMS data sets across Europe using a consistent ME-2 based source apportionment approach |
title_fullStr |
Organic aerosol components derived from 25 AMS data sets across Europe using a consistent ME-2 based source apportionment approach |
title_full_unstemmed |
Organic aerosol components derived from 25 AMS data sets across Europe using a consistent ME-2 based source apportionment approach |
title_sort |
organic aerosol components derived from 25 ams data sets across europe using a consistent me-2 based source apportionment approach |
publisher |
Copernicus Publications |
series |
Atmospheric Chemistry and Physics |
issn |
1680-7316 1680-7324 |
publishDate |
2014-06-01 |
description |
Organic aerosols (OA) represent one of the major constituents of submicron
particulate matter (PM<sub>1</sub>) 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. |
url |
http://www.atmos-chem-phys.net/14/6159/2014/acp-14-6159-2014.pdf |
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doaj-d8d5c715f1274bfe94e35aa0657384fb2020-11-24T23:53:35ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242014-06-0114126159617610.5194/acp-14-6159-2014Organic aerosol components derived from 25 AMS data sets across Europe using a consistent ME-2 based source apportionment approachM. Crippa0F. Canonaco1V. A. Lanz2M. Äijälä3J. D. Allan4S. Carbone5G. Capes6D. Ceburnis7M. Dall'Osto8D. A. Day9P. F. DeCarlo10M. Ehn11A. Eriksson12E. Freney13L. Hildebrandt Ruiz14R. Hillamo15J. L. Jimenez16H. Junninen17A. Kiendler-Scharr18A.-M. Kortelainen19M. Kulmala20A. Laaksonen21A. A. Mensah22C. Mohr23E. Nemitz24C. O'Dowd25J. Ovadnevaite26S. N. Pandis27T. Petäjä28L. Poulain29S. Saarikoski30K. Sellegri31E. Swietlicki32P. Tiitta33D. R. Worsnop34U. Baltensperger35A. S. H. Prévôt36Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 PSI Villigen, SwitzerlandLaboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 PSI Villigen, SwitzerlandLaboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 PSI Villigen, SwitzerlandDepartment of Physics, P.O. Box 64, University of Helsinki, 00014 Helsinki, FinlandSchool of Earth, Atmospheric {&} Environmental Sciences, The University of Manchester, Manchester, UKAir Quality Research, Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, FinlandSchool of Earth, Atmospheric {&} Environmental Sciences, The University of Manchester, Manchester, UKSchool of Physics {&} Centre for Climate & Air Pollution Studies, National University of Ireland Galway, Galway, IrelandInstitute of Environmental Assessment and Water Research (IDAEA), CSIC, 08034 Barcelona, SpainCooperative Institute for Research in Environmental Sciences (CIRES), Boulder, CO, USALaboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 PSI Villigen, SwitzerlandDepartment of Physics, P.O. Box 64, University of Helsinki, 00014 Helsinki, FinlandDivision of Nuclear Physics, University of Lund, 221 00 Lund, SwedenLaboratoire de Météorologie Physique, CNRS-Université Blaise Pascal, UMR6016, 63117, Clermont Ferrand, FranceCenter for Atmospheric Particle Studies, Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA, 15213, USAAir Quality Research, Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, FinlandCooperative Institute for Research in Environmental Sciences (CIRES), Boulder, CO, USADepartment of Physics, P.O. Box 64, University of Helsinki, 00014 Helsinki, FinlandInstitut für Energie- und Klimaforschung: Troposphäre (IEK 8), Forschungszentrum Jülich GmbH, Jülich, GermanyDepartment of Environmental Science, Univ. of Eastern Finland, P.O. Box 1627, 70211 Kuopio, FinlandDepartment of Physics, P.O. Box 64, University of Helsinki, 00014 Helsinki, FinlandDepartment of Environmental Science, Univ. of Eastern Finland, P.O. Box 1627, 70211 Kuopio, FinlandInstitut für Energie- und Klimaforschung: Troposphäre (IEK 8), Forschungszentrum Jülich GmbH, Jülich, GermanyLaboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 PSI Villigen, SwitzerlandCentre for Ecology and Hydrology, Bush Estate, Penicuik, Midlothian, EH26 0QB, UKSchool of Physics {&} Centre for Climate & Air Pollution Studies, National University of Ireland Galway, Galway, IrelandSchool of Physics {&} Centre for Climate & Air Pollution Studies, National University of Ireland Galway, Galway, IrelandInstitute of Chemical Engineering Sciences (ICE-HT), Foundation for Research and Technology Hellas (FORTH), Patras, 26504, GreeceDepartment of Physics, P.O. Box 64, University of Helsinki, 00014 Helsinki, FinlandLeibniz Institute for Tropospheric Research, Permoserstr. 15, 04318 Leipzig, GermanyAir Quality Research, Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, FinlandLaboratoire de Météorologie Physique, CNRS-Université Blaise Pascal, UMR6016, 63117, Clermont Ferrand, FranceDivision of Nuclear Physics, University of Lund, 221 00 Lund, SwedenDepartment of Environmental Science, Univ. of Eastern Finland, P.O. Box 1627, 70211 Kuopio, FinlandDepartment of Physics, P.O. Box 64, University of Helsinki, 00014 Helsinki, FinlandLaboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 PSI Villigen, SwitzerlandLaboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 PSI Villigen, SwitzerlandOrganic aerosols (OA) represent one of the major constituents of submicron particulate matter (PM<sub>1</sub>) 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.http://www.atmos-chem-phys.net/14/6159/2014/acp-14-6159-2014.pdf |