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| Titel |
Modeling of secondary organic aerosol yields from laboratory chamber data |
| VerfasserIn |
M. N. Chan, A. W. H. Chan, P. S. Chhabra, J. D. Surratt, J. H. Seinfeld |
| 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 ; 9, no. 15 ; Nr. 9, no. 15 (2009-08-10), S.5669-5680 |
| Datensatznummer |
250007564
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| Publikation (Nr.) |
 copernicus.org/acp-9-5669-2009.pdf |
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| Zusammenfassung |
| Laboratory chamber data serve as the basis for constraining models of
secondary organic aerosol (SOA) formation. Current models fall into three
categories: empirical two-product (Odum), product-specific, and volatility
basis set. The product-specific and volatility basis set models are applied
here to represent laboratory data on the ozonolysis of α-pinene under
dry, dark, and low-NOx conditions in the presence of ammonium sulfate
seed aerosol. Using five major identified products, the model is fit to the
chamber data. From the optimal fitting, SOA oxygen-to-carbon (O/C) and
hydrogen-to-carbon (H/C) ratios are modeled. The discrepancy between measured
H/C ratios and those based on the oxidation products used in the model
fitting suggests the potential importance of particle-phase reactions. Data
fitting is also carried out using the volatility basis set, wherein oxidation
products are parsed into volatility bins. The product-specific model is most
likely hindered by lack of explicit inclusion of particle-phase accretion
compounds. While prospects for identification of the majority of SOA products
for major volatile organic compounds (VOCs) classes remain promising, for the
near future empirical product or volatility basis set models remain the
approaches of choice. |
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