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| Titel |
Source apportionment using LOTOS-EUROS: module description and evaluation |
| VerfasserIn |
R. Kranenburg, A. J. Segers, C. Hendriks, M. Schaap |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 6, no. 3 ; Nr. 6, no. 3 (2013-06-03), S.721-733 |
| Datensatznummer |
250017819
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| Publikation (Nr.) |
 copernicus.org/gmd-6-721-2013.pdf |
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| Zusammenfassung |
| To design effective mitigation strategies, the origin of
emissions which produce air pollutants needs to be known. Contributors to air
pollutants can be emission sources, like road traffic or industry, but also be
more specified to emission from one location or from a specified time.
Chemistry transport models can be used to assess the origin of air pollution
across a large domain. However, in traditional simulations the information on
origin is lost and brute force scenario studies are performed to assess the
origin. Alternatively, one can trace the origin of air pollutants throughout a
simulation using a labeling approach. In this paper we document and
demonstrate a newly developed labeling module for the chemistry transport
model LOTOS-EUROS which tracks the source allocation for all particulate
matter components and precursor gases. Dedicated simulations confirmed that
the new module functions correctly. The new module provides more accurate
information about the source contributions than using a brute force approach
with scenario runs as the chemical regime remains unchanged. An important
advantage of the new module is the reduction of computation costs and analysis
work associated with the calculations. The new module was applied to assess
the origin of particulate nitrate across the Netherlands. Averaged across the
Dutch territory, the main contributions to nitrate are derived from road and
non-road transport as well as power plants. Overall, only one-fifth of the
concentration derived from sources located inside the country. The new
technology enables new research directions as improved information on
pollution origin is desired for policy support as well as scientific
applications. |
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