A refinement of the emission data for Kola Peninsula based on inverse dispersion modelling:

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...

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Main Authors: Prank, M., Sofiev, M., Denier Van Der Gon, H.A.C., Kaasik, M., Ruuskanen, T.M., Kukkonen, J.
Format: Article in Journal/Newspaper
Language:English
Published: 2010
Subjects:
Online Access:http://resolver.tudelft.nl/uuid:4b32479c-14ae-4321-a6c7-1c20db28c848
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spelling fttno:oai:tudelft.nl:uuid:4b32479c-14ae-4321-a6c7-1c20db28c848 2023-05-15T17:04:54+02:00 A refinement of the emission data for Kola Peninsula based on inverse dispersion modelling: Prank, M. Sofiev, M. Denier Van Der Gon, H.A.C. Kaasik, M. Ruuskanen, T.M. Kukkonen, J. 2010-01-01 http://resolver.tudelft.nl/uuid:4b32479c-14ae-4321-a6c7-1c20db28c848 en eng uuid:4b32479c-14ae-4321-a6c7-1c20db28c848 364391 http://resolver.tudelft.nl/uuid:4b32479c-14ae-4321-a6c7-1c20db28c848 Atmospheric Chemistry and Physics Discussions, 6, 10, 15963-16006 Environment Earth & Environment CAS - Climate Air and Sustainability EELS - Earth Environmental and Life Sciences article 2010 fttno 2022-04-10T16:04:41Z 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 non-ferrous metallurgy plant was missing from the EMEP inventory, as well as from some others, being in some cases 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 lower bias - up to 6 times for the most-affected sites - for SO2 with regard to the measured concentrations of 8 Finnish and Norwegian observational stations in the region. Temporal correlation improved moderately (10-20%) but homogeneously over Lapland. The study demonstrates the value of a combined usage of forward and inverse ensemble modelling for source apportionment in case of limited observational data. © 2010 Author(s). Article in Journal/Newspaper kola peninsula Lapland TU Delft: Institutional Repository (Delft University of Technology) Kola Peninsula
institution Open Polar
collection TU Delft: Institutional Repository (Delft University of Technology)
op_collection_id fttno
language English
topic Environment
Earth & Environment
CAS - Climate
Air and Sustainability
EELS - Earth
Environmental and Life Sciences
spellingShingle Environment
Earth & Environment
CAS - Climate
Air and Sustainability
EELS - Earth
Environmental and Life Sciences
Prank, M.
Sofiev, M.
Denier Van Der Gon, H.A.C.
Kaasik, M.
Ruuskanen, T.M.
Kukkonen, J.
A refinement of the emission data for Kola Peninsula based on inverse dispersion modelling:
topic_facet Environment
Earth & Environment
CAS - Climate
Air and Sustainability
EELS - Earth
Environmental and Life Sciences
description 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 non-ferrous metallurgy plant was missing from the EMEP inventory, as well as from some others, being in some cases 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 lower bias - up to 6 times for the most-affected sites - for SO2 with regard to the measured concentrations of 8 Finnish and Norwegian observational stations in the region. Temporal correlation improved moderately (10-20%) but homogeneously over Lapland. The study demonstrates the value of a combined usage of forward and inverse ensemble modelling for source apportionment in case of limited observational data. © 2010 Author(s).
format Article in Journal/Newspaper
author Prank, M.
Sofiev, M.
Denier Van Der Gon, H.A.C.
Kaasik, M.
Ruuskanen, T.M.
Kukkonen, J.
author_facet Prank, M.
Sofiev, M.
Denier Van Der Gon, H.A.C.
Kaasik, M.
Ruuskanen, T.M.
Kukkonen, J.
author_sort Prank, M.
title A refinement of the emission data for Kola Peninsula based on inverse dispersion modelling:
title_short A refinement of the emission data for Kola Peninsula based on inverse dispersion modelling:
title_full A refinement of the emission data for Kola Peninsula based on inverse dispersion modelling:
title_fullStr A refinement of the emission data for Kola Peninsula based on inverse dispersion modelling:
title_full_unstemmed A refinement of the emission data for Kola Peninsula based on inverse dispersion modelling:
title_sort refinement of the emission data for kola peninsula based on inverse dispersion modelling:
publishDate 2010
url http://resolver.tudelft.nl/uuid:4b32479c-14ae-4321-a6c7-1c20db28c848
geographic Kola Peninsula
geographic_facet Kola Peninsula
genre kola peninsula
Lapland
genre_facet kola peninsula
Lapland
op_source Atmospheric Chemistry and Physics Discussions, 6, 10, 15963-16006
op_relation uuid:4b32479c-14ae-4321-a6c7-1c20db28c848
364391
http://resolver.tudelft.nl/uuid:4b32479c-14ae-4321-a6c7-1c20db28c848
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