Argon offline-AMS source apportionment of organic aerosol over yearly cycles for an urban, rural, and marine site in northern Europe
The widespread use of Aerodyne aerosol mass spectrometers (AMS) has greatly improved real-time organic aerosol (OA) monitoring, providing mass spectra that contain sufficient information for source apportionment. However, AMS field deployments remain expensive and demanding, limiting the acquisition...
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2017-01-01
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Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
C. Bozzetti Y. Sosedova M. Xiao K. R. Daellenbach V. Ulevicius V. Dudoitis G. Mordas S. Byčenkienė K. Plauškaitė A. Vlachou B. Golly B. Chazeau J.-L. Besombes U. Baltensperger J.-L. Jaffrezo J. G. Slowik I. El Haddad A. S. H. Prévôt |
spellingShingle |
C. Bozzetti Y. Sosedova M. Xiao K. R. Daellenbach V. Ulevicius V. Dudoitis G. Mordas S. Byčenkienė K. Plauškaitė A. Vlachou B. Golly B. Chazeau J.-L. Besombes U. Baltensperger J.-L. Jaffrezo J. G. Slowik I. El Haddad A. S. H. Prévôt Argon offline-AMS source apportionment of organic aerosol over yearly cycles for an urban, rural, and marine site in northern Europe Atmospheric Chemistry and Physics |
author_facet |
C. Bozzetti Y. Sosedova M. Xiao K. R. Daellenbach V. Ulevicius V. Dudoitis G. Mordas S. Byčenkienė K. Plauškaitė A. Vlachou B. Golly B. Chazeau J.-L. Besombes U. Baltensperger J.-L. Jaffrezo J. G. Slowik I. El Haddad A. S. H. Prévôt |
author_sort |
C. Bozzetti |
title |
Argon offline-AMS source apportionment of organic aerosol over yearly cycles for an urban, rural, and marine site in northern Europe |
title_short |
Argon offline-AMS source apportionment of organic aerosol over yearly cycles for an urban, rural, and marine site in northern Europe |
title_full |
Argon offline-AMS source apportionment of organic aerosol over yearly cycles for an urban, rural, and marine site in northern Europe |
title_fullStr |
Argon offline-AMS source apportionment of organic aerosol over yearly cycles for an urban, rural, and marine site in northern Europe |
title_full_unstemmed |
Argon offline-AMS source apportionment of organic aerosol over yearly cycles for an urban, rural, and marine site in northern Europe |
title_sort |
argon offline-ams source apportionment of organic aerosol over yearly cycles for an urban, rural, and marine site in northern europe |
publisher |
Copernicus Publications |
series |
Atmospheric Chemistry and Physics |
issn |
1680-7316 1680-7324 |
publishDate |
2017-01-01 |
description |
The widespread use of Aerodyne aerosol mass spectrometers (AMS) has greatly
improved real-time organic aerosol (OA) monitoring, providing mass spectra
that contain sufficient information for source apportionment. However, AMS
field deployments remain expensive and demanding, limiting the acquisition of
long-term datasets at many sampling sites. The offline application of aerosol
mass spectrometry entailing the analysis of nebulized water extracted filter
samples (offline-AMS) increases the spatial coverage accessible to AMS
measurements, being filters routinely collected at many stations worldwide.
<br><br>
PM<sub>1</sub> (particulate matter with an aerodynamic diameter < 1 µm) filter samples were collected during an entire year in Lithuania at
three different locations representative of three typical environments of
the southeast Baltic region: Vilnius (urban background),
Rūgšteliškis (rural terrestrial), and Preila (rural coastal).
Aqueous filter extracts were nebulized in Ar, yielding the first AMS
measurements of water-soluble atmospheric organic aerosol (WSOA) without
interference from air fragments. This enables direct measurement of the
CO<sup>+</sup> fragment contribution, whose intensity is typically assumed to be
equal to that of CO<sub>2</sub><sup>+</sup>. Offline-AMS spectra reveal that the water-soluble CO<sub>2</sub><sup>+</sup> : CO<sup>+</sup> ratio not only shows values systematically
> 1 but is also dependent on season, with lower values in winter
than in summer.
<br><br>
AMS WSOA spectra were analyzed using positive matrix factorization (PMF),
which yielded four factors. These factors included biomass burning OA (BBOA),
local OA (LOA) contributing significantly only in Vilnius, and two
oxygenated OA (OOA) factors, summer OOA (S-OOA) and background OOA (B-OOA),
distinguished by their seasonal variability. The contribution of traffic
exhaust OA (TEOA) was not resolved by PMF due to both low concentrations and
low water solubility. Therefore, the TEOA concentration was estimated using
a chemical mass balance approach, based on the concentrations of hopanes,
specific markers of traffic emissions. AMS-PMF source apportionment results
were consistent with those obtained from PMF applied to marker
concentrations (i.e., major inorganic ions, OC / EC, and organic markers
including polycyclic aromatic hydrocarbons and their derivatives, hopanes,
long-chain alkanes, monosaccharides, anhydrous sugars, and lignin
fragmentation products). OA was the largest fraction of PM<sub>1</sub> and was
dominated by BBOA during winter with an average concentration of 2 µg m<sup>−3</sup>
(53 % of OM), while S-OOA, probably related to
biogenic emissions, was the prevalent OA component during summer with an average
concentration of 1.2 µg m<sup>−3</sup> (45 % of OM).
<br><br>
PMF ascribed a large part of the CO<sup>+</sup> explained variability (97 %) to
the OOA and BBOA factors. Accordingly, we discuss a new CO<sup>+</sup>
parameterization as a function of CO<sub>2</sub><sup>+</sup> and
C<sub>2</sub>H<sub>4</sub>O<sub>2</sub><sup>+</sup> fragments, which were selected to describe the
variability of the OOA and BBOA factors.</p> |
url |
http://www.atmos-chem-phys.net/17/117/2017/acp-17-117-2017.pdf |
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doaj-c41ba6eccd894e21af140d99837ba0ed2020-11-24T21:41:18ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242017-01-0117111714110.5194/acp-17-117-2017Argon offline-AMS source apportionment of organic aerosol over yearly cycles for an urban, rural, and marine site in northern EuropeC. Bozzetti0Y. Sosedova1M. Xiao2K. R. Daellenbach3V. Ulevicius4V. Dudoitis5G. Mordas6S. Byčenkienė7K. Plauškaitė8A. Vlachou9B. Golly10B. Chazeau11J.-L. Besombes12U. Baltensperger13J.-L. Jaffrezo14J. G. Slowik15I. El Haddad16A. S. H. Prévôt17Laboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), 5232 Villigen-PSI, SwitzerlandLaboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), 5232 Villigen-PSI, SwitzerlandLaboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), 5232 Villigen-PSI, SwitzerlandLaboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), 5232 Villigen-PSI, SwitzerlandDepartment of Environmental Research, SRI Center for Physical Sciences and Technology, 02300 Vilnius, LithuaniaDepartment of Environmental Research, SRI Center for Physical Sciences and Technology, 02300 Vilnius, LithuaniaDepartment of Environmental Research, SRI Center for Physical Sciences and Technology, 02300 Vilnius, LithuaniaDepartment of Environmental Research, SRI Center for Physical Sciences and Technology, 02300 Vilnius, LithuaniaDepartment of Environmental Research, SRI Center for Physical Sciences and Technology, 02300 Vilnius, LithuaniaLaboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), 5232 Villigen-PSI, SwitzerlandUniversité Grenoble Alpes, CNRS, LGGE, 38000 Grenoble, FranceLaboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), 5232 Villigen-PSI, SwitzerlandUniversité Savoie Mont-Blanc, LCME, 73000 Chambéry, FranceLaboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), 5232 Villigen-PSI, SwitzerlandUniversité Grenoble Alpes, CNRS, LGGE, 38000 Grenoble, FranceLaboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), 5232 Villigen-PSI, SwitzerlandLaboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), 5232 Villigen-PSI, SwitzerlandLaboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), 5232 Villigen-PSI, SwitzerlandThe widespread use of Aerodyne aerosol mass spectrometers (AMS) has greatly improved real-time organic aerosol (OA) monitoring, providing mass spectra that contain sufficient information for source apportionment. However, AMS field deployments remain expensive and demanding, limiting the acquisition of long-term datasets at many sampling sites. The offline application of aerosol mass spectrometry entailing the analysis of nebulized water extracted filter samples (offline-AMS) increases the spatial coverage accessible to AMS measurements, being filters routinely collected at many stations worldwide. <br><br> PM<sub>1</sub> (particulate matter with an aerodynamic diameter < 1 µm) filter samples were collected during an entire year in Lithuania at three different locations representative of three typical environments of the southeast Baltic region: Vilnius (urban background), Rūgšteliškis (rural terrestrial), and Preila (rural coastal). Aqueous filter extracts were nebulized in Ar, yielding the first AMS measurements of water-soluble atmospheric organic aerosol (WSOA) without interference from air fragments. This enables direct measurement of the CO<sup>+</sup> fragment contribution, whose intensity is typically assumed to be equal to that of CO<sub>2</sub><sup>+</sup>. Offline-AMS spectra reveal that the water-soluble CO<sub>2</sub><sup>+</sup> : CO<sup>+</sup> ratio not only shows values systematically > 1 but is also dependent on season, with lower values in winter than in summer. <br><br> AMS WSOA spectra were analyzed using positive matrix factorization (PMF), which yielded four factors. These factors included biomass burning OA (BBOA), local OA (LOA) contributing significantly only in Vilnius, and two oxygenated OA (OOA) factors, summer OOA (S-OOA) and background OOA (B-OOA), distinguished by their seasonal variability. The contribution of traffic exhaust OA (TEOA) was not resolved by PMF due to both low concentrations and low water solubility. Therefore, the TEOA concentration was estimated using a chemical mass balance approach, based on the concentrations of hopanes, specific markers of traffic emissions. AMS-PMF source apportionment results were consistent with those obtained from PMF applied to marker concentrations (i.e., major inorganic ions, OC / EC, and organic markers including polycyclic aromatic hydrocarbons and their derivatives, hopanes, long-chain alkanes, monosaccharides, anhydrous sugars, and lignin fragmentation products). OA was the largest fraction of PM<sub>1</sub> and was dominated by BBOA during winter with an average concentration of 2 µg m<sup>−3</sup> (53 % of OM), while S-OOA, probably related to biogenic emissions, was the prevalent OA component during summer with an average concentration of 1.2 µg m<sup>−3</sup> (45 % of OM). <br><br> PMF ascribed a large part of the CO<sup>+</sup> explained variability (97 %) to the OOA and BBOA factors. Accordingly, we discuss a new CO<sup>+</sup> parameterization as a function of CO<sub>2</sub><sup>+</sup> and C<sub>2</sub>H<sub>4</sub>O<sub>2</sub><sup>+</sup> fragments, which were selected to describe the variability of the OOA and BBOA factors.</p>http://www.atmos-chem-phys.net/17/117/2017/acp-17-117-2017.pdf |