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Titel |
The sensitivity of secondary organic aerosol component partitioning to the predictions of component properties – Part 1: A systematic evaluation of some available estimation techniques |
VerfasserIn |
G. McFiggans, D. O. Topping, M. H. Barley |
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 ; 10, no. 21 ; Nr. 10, no. 21 (2010-11-03), S.10255-10272 |
Datensatznummer |
250008865
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Publikation (Nr.) |
copernicus.org/acp-10-10255-2010.pdf |
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Zusammenfassung |
A large number of calculations of the absorptive partitioning of organic
compounds have been made using a number of methods to predict the component
vapour pressures, p0, and activity coefficients, γi, required in
the calculations. The sensitivities of the predictions in terms of the
condensed component masses, volatility, O:C ratio, molar mass and
functionality distributions to the choice of p0 and γi models and
to the number of components to represent the organic mixture have been
systematically compared. The condensed component mass was found to be highly
sensitive to the vapour pressure model, and less sensitive to both the
activity coefficient model and the number of components used to represent the
mixture although the sensitivity to the change in property estimation method
increased substantially with increased simplification in the treatment of the
organic mixture. This was a general finding and was also clearly evident in
terms of the predicted component functionality, O:C ratio, molar mass and
volatility distributions of the condensed organic components. Within the
limitations of the study, this clearly demonstrates the requirement for more
accurate representation of the p0 and γi of the semi-volatile
organic proxy components used in simplified models as the degree of
simplification increases. This presents an interesting paradox, since such
reduction in complexity necessarily leads to divergence from the complex
behaviour of real multicomponent atmospheric aerosol. |
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