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| Titel |
Application of the Statistical Oxidation Model (SOM) to Secondary Organic Aerosol formation from photooxidation of C12 alkanes |
| VerfasserIn |
C. D. Cappa, X. Zhang, C. L. Loza, J. S. Craven, L. D. Yee, 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 ; 13, no. 3 ; Nr. 13, no. 3 (2013-02-08), S.1591-1606 |
| Datensatznummer |
250017649
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| Publikation (Nr.) |
 copernicus.org/acp-13-1591-2013.pdf |
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| Zusammenfassung |
| Laboratory chamber experiments are the main source of data on the mechanism
of oxidation and the secondary organic aerosol (SOA) forming potential of
volatile organic compounds. Traditional methods of representing the SOA
formation potential of an organic do not fully capture the dynamic,
multi-generational nature of the SOA formation process. We apply the
Statistical Oxidation Model (SOM) of Cappa and Wilson (2012) to model the
formation of SOA from the formation of the four C12 alkanes, dodecane,
2-methyl undecane, cyclododecane and hexylcyclohexane, under both high- and
low-NOx conditions, based upon data from the Caltech chambers. In
the SOM, the evolution of reaction products is defined by the number of
carbon (NC) and oxygen (NO) atoms, and the model
parameters are (1) the number of oxygen atoms added per reaction, (2) the
decrease in volatility upon addition of an oxygen atom and (3) the
probability that a given reaction leads to fragmentation of the molecules.
Optimal fitting of the model to chamber data is carried out using the
measured SOA mass concentration and the aerosol O:C atomic ratio. The use of
the kinetic, multi-generational SOM is shown to provide insights into the SOA
formation process and to offer promise for application to the extensive
library of existing SOA chamber experiments that is available. |
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