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| Titel |
An inverse modeling procedure to determine particle growth and nucleation rates from measured aerosol size distributions |
| VerfasserIn |
B. Verheggen, M. Mozurkewich |
| 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 ; 6, no. 10 ; Nr. 6, no. 10 (2006-07-17), S.2927-2942 |
| Datensatznummer |
250004008
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| Publikation (Nr.) |
 copernicus.org/acp-6-2927-2006.pdf |
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| Zusammenfassung |
| Classical nucleation theory is unable to explain the ubiquity of nucleation
events observed in the atmosphere. This shows a need for an empirical
determination of the nucleation rate. Here we present a novel inverse
modeling procedure to determine particle nucleation and growth rates based
on consecutive measurements of the aerosol size distribution. The particle
growth rate is determined by regression analysis of the measured change in
the aerosol size distribution over time, taking into account the effects of
processes such as coagulation, deposition and/or dilution. This
allows the growth rate to be determined with a higher time-resolution than
can be deduced from inspecting contour plots ("banana-plots''). Knowing the
growth rate as a function of time enables the evaluation of the time of
nucleation of measured particles of a certain size. The nucleation rate is
then obtained by integrating the particle losses from time of measurement to
time of nucleation. The regression analysis can also be used to determine or
verify the optimum value of other parameters of interest, such as the wall
loss or coagulation rate constants. As an example, the method is applied to
smog chamber measurements. This program offers a powerful interpretive tool
to study empirical aerosol population dynamics in general, and nucleation
and growth in particular. |
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