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Titel |
Urban aerosol size distributions over the Mediterranean city of Barcelona, NE Spain |
VerfasserIn |
M. Dall'Osto, D. C. S. Beddows, J. Pey, S. Rodríguez, A. Alastuey, Roy M. Harrison, X. Querol |
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. 22 ; Nr. 12, no. 22 (2012-11-16), S.10693-10707 |
Datensatznummer |
250011592
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Publikation (Nr.) |
copernicus.org/acp-12-10693-2012.pdf |
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Zusammenfassung |
Differential mobility particle sizer (DMPS) aerosol concentrations
(N13-800) were collected over a one-year-period (2004) at an urban
background site in Barcelona, North-Eastern Spain. Quantitative contributions
to particle number concentrations of the nucleation (33–39%), Aitken
(39–49%) and accumulation mode (18–22%) were estimated. We examined
the source and time variability of atmospheric aerosol particles by using
both K-means clustering and Positive Matrix Factorization (PMF) analysis.
Performing clustering analysis on hourly size distributions, nine K-means
DMPS clusters were identified and, by directional association, diurnal
variation and relationship to meteorological and pollution variables, four
typical aerosol size distribution scenarios were identified: traffic (69%
of the time), dilution (15% of the time), summer background conditions
(4% of the time) and regional pollution (12% of the time). According to
the results of PMF, vehicle exhausts are estimated to contribute at least to
62–66% of the total particle number concentration, with a slightly higher
proportion distributed towards the nucleation mode (34%) relative to the
Aitken mode (28–32%). Photochemically induced nucleation particles make
only a small contribution to the total particle number concentration
(2–3% of the total), although only particles larger than 13 nm were
considered in this study. Overall the combination of the two statistical
methods is successful at separating components and quantifying relative
contributions to the particle number population. |
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