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| Titel |
A Lagrangian model with simple primary and secondary aerosol scheme 1: comparison with UK PM10 data |
| VerfasserIn |
K. M. Emmerson, A. R. MacKenzie, S. M. Owen, M. J. Evans, D. E. Shallcross |
| 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 ; 4, no. 8 ; Nr. 4, no. 8 (2004-11-09), S.2161-2170 |
| Datensatznummer |
250002067
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| Publikation (Nr.) |
 copernicus.org/acp-4-2161-2004.pdf |
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| Zusammenfassung |
| A Lagrangian trajectory model used to simulate photochemistry has been
extended to include a simple parameterisation of primary and secondary
aerosol particles. The model uses emission inventories of primary particles
for the UK from the NAEI (National Atmospheric Emissions Inventory for the
UK), and for Europe from the TNO (Institute of Environmental Sciences,
Energy Research and Process Innovation, the Netherlands) respectively, to
transport tracers representing PM10. One biogenic and two anthropogenic
organic compounds were chosen as surrogates to model the formation of
condensable material suitable for the production of secondary organic
aerosol (SOA). The SOA is added to the primary PM10 and compared to
measured PM10 at one urban and two rural UK receptor sites. The results
show an average under-prediction by factors of 4.5 and 8.9 in the urban and
rural cases respectively. The model is also used to simulate production of
two secondary inorganic species, H2SO4 and HNO3, which are
assumed, as a limiting case, to be present in the particle phase. The
relationships between modelled and measured total PM10 improved with
the addition of secondary inorganic compounds, and the overall model
under-prediction factors are reduced to 3.5 and 3.9 in the urban and rural
cases respectively. Nevertheless, our conclusion is that current emissions
and chemistry do not appear to provide sufficient information to model
PM10 well (i.e. to within a factor of two). There is a need for further
process studies to inform global climate modelling that includes climate
forcing by aerosol. |
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