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| Titel |
The role of semi-volatile organic compounds in the mesoscale evolution of biomass burning aerosol: a modeling case study of the 2010 mega-fire event in Russia |
| VerfasserIn |
I. B. Konovalov, M. Beekmann, E. V. Berezin, H. Petetin, T. Mielonen, I. N. Kuznetsova, M. O. Andreae |
| 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 ; 15, no. 23 ; Nr. 15, no. 23 (2015-12-01), S.13269-13297 |
| Datensatznummer |
250120195
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| Publikation (Nr.) |
 copernicus.org/acp-15-13269-2015.pdf |
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| Zusammenfassung |
| Chemistry transport models (CTMs) are an indispensable tool for
studying and predicting atmospheric and climate effects associated
with carbonaceous aerosol from open biomass burning (BB); this type
of aerosol is known to contribute significantly to both global
radiative forcing and to episodes of air pollution in regions
affected by wildfires. Improving model performance requires
systematic comparison of simulation results with measurements of BB
aerosol and elucidation of possible reasons for discrepancies between
them, which, by default, are frequently attributed in the
literature to uncertainties in emission data. Based on published
laboratory data on the atmospheric evolution of BB aerosol and
using the volatility basis set (VBS) framework for organic aerosol modeling,
we examined the importance of taking gas-particle partitioning and
oxidation of semi-volatile organic compounds (SVOCs) into account in
simulations of the mesoscale evolution of smoke plumes from intense
wildfires that occurred in western Russia in 2010. Biomass burning
emissions of primary aerosol components were constrained with
PM10 and CO data from the air pollution monitoring network
in the Moscow region. The results of the simulations performed with
the CHIMERE CTM were evaluated by considering, in particular, the ratio
of smoke-related enhancements in PM10 and CO concentrations
(ΔPM10 and ΔCO) measured in Finland (in the
city of Kuopio), nearly 1000 km downstream of the fire emission
sources. It is found that while the simulations based on a
"conventional" approach to BB aerosol modeling (disregarding oxidation
of SVOCs and assuming organic aerosol material to be non-volatile)
strongly underestimated values of ΔPM10/ΔCO
observed in Kuopio (by a factor of 2), employing the "advanced"
representation of atmospheric processing of organic aerosol material
resulted in bringing the simulations to a much closer agreement with
the ground measurements. Furthermore, taking gas-particle partitioning
and oxidation of SVOCs into account is found to result in a major
improvement of the agreement of simulations and satellite measurements
of aerosol optical depth, as well as in considerable changes in
predicted aerosol composition and top-down BB aerosol emission estimates
derived from AOD measurements. |
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