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| Titel |
Identification and quantification of organic aerosol from cooking and other sources in Barcelona using aerosol mass spectrometer data |
| VerfasserIn |
C. Mohr, P. F. DeCarlo, M. F. Heringa, R. Chirico, J. G. Slowik, Rene Richter, C. Reche, A. Alastuey, X. Querol, R. Seco, J. Peñuelas, J. L. Jimenez, M. Crippa, R. Zimmermann, U. Baltensperger, A. S. H. Prévôt |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7316
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Chemistry and Physics ; 12, no. 4 ; Nr. 12, no. 4 (2012-02-15), S.1649-1665 |
| Datensatznummer |
250010717
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| Publikation (Nr.) |
 copernicus.org/acp-12-1649-2012.pdf |
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| Zusammenfassung |
PM1 (particulate matter with an aerodynamic diameter
<1 μm) non-refractory components and black carbon were measured
continuously together with additional air quality and atmospheric parameters
at an urban background site in Barcelona, Spain, during March 2009 (campaign
DAURE, Determination of the sources of atmospheric Aerosols in Urban and
Rural Environments in the western Mediterranean). Positive matrix
factorization (PMF) was conducted on the organic aerosol (OA) data matrix
measured by an aerosol mass spectrometer, on both unit mass (UMR) and high
resolution (HR) data. Five factors or sources could be identified: LV-OOA
(low-volatility oxygenated OA), related to regional, aged secondary OA;
SV-OOA (semi-volatile oxygenated OA), a fresher oxygenated OA; HOA
(hydrocarbon-like OA, related to traffic emissions); BBOA (biomass burning
OA) from domestic heating or agricultural biomass burning activities; and COA
(cooking OA). LV-OOA contributed 28% to OA, SV-OOA 27%, COA
17%, HOA 16%, and BBOA 11%. The COA HR spectrum contained
substantial signal from oxygenated ions (O:C: 0.21) whereas the HR HOA
spectrum had almost exclusively contributions from chemically reduced ions
(O:C: 0.03). If we assume that the carbon in HOA is fossil while that in COA
and BBOA is modern, primary OA in Barcelona contains a surprisingly high
fraction (59%) of non-fossil carbon.
This paper presents a method for estimating cooking organic aerosol in
ambient datasets based on the fractions of organic mass fragments at m/z 55 and
57: their data points fall into a V-shape in a scatter plot, with strongly
influenced HOA data aligned to the right arm and strongly influenced COA
data points aligned to the left arm. HR data show that this differentiation
is mainly driven by the oxygen-containing ions C3H3O+ and
C3H5O+, even though their contributions to m/z 55 and 57 are low
compared to the reduced ions C4H7+ and C4H9+.
A simple estimation method based on the markers m/z 55, 57, and 44 is developed
here and allows for a first-order-estimation of COA in urban air. This study
emphasizes the importance of cooking activities for ambient air quality and
confirms the importance of chemical composition measurements with a high
mass and time resolution. |
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