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| Titel |
A refinement of the emission data for Kola Peninsula based on inverse dispersion modelling |
| VerfasserIn |
M. Prank, M. Sofiev, H. A. C. Denier van der Gon, M. Kaasik, T. M. Ruuskanen, J. Kukkonen |
| 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. 22 ; Nr. 10, no. 22 (2010-11-18), S.10849-10865 |
| Datensatznummer |
250008898
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| Publikation (Nr.) |
 copernicus.org/acp-10-10849-2010.pdf |
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| Zusammenfassung |
| The study reviews the emission estimates of sulphur oxides (SOx) and primary
particulate matter (PM) from the major industrial sources of Kola Peninsula.
Analysis of the disagreements between the existing emission inventories for
the Kola region combined with forward and inverse ensemble dispersion
modelling, analysis of observation time-series and model-measurement
comparison showed that the emission of the Nikel metallurgy plant was
missing or strongly under-estimated in the major European emission
inventories, such as EMEP, EDGAR, TNO-GEMS, and PAREST-MEGAPOLI. In some
cases it was misplaced or mis-attributed to other sources of the region. A
more consistent inventory of the anthropogenic emissions of SOx and PM has
been compiled for the Peninsula, compared with the existing estimates and
verified by means of dispersion modelling. In particular, the SILAM model
simulations for 2003 and 2006 with the revised emission data showed much
smaller under-estimation of SO2 concentrations at 8 Finnish and
Norwegian observational stations. For the nearest site to the plant the
10-fold underestimation turned to a 1.5-fold over-prediction. Temporal
correlation improved more moderately (up to 45% for concentrations, up to
3 times for deposition). The study demonstrates the value of a combined
usage of forward and inverse ensemble modelling for source apportionment in
case of limited observational data. |
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