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Application of chemical transport model CMAQ to policy decisions regarding PM2.5 in the UK

chemel, C., Fischer, B. E. A., Kong, X., Francis, X. V., Sokhi, R. S., Good, N., Collins, W. J. ORCID: https://orcid.org/0000-0002-7419-0850 and Folberth, G. A. (2014) Application of chemical transport model CMAQ to policy decisions regarding PM2.5 in the UK. Atmospheric Environment, 82. pp. 410-417. ISSN 1352-2310

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To link to this item DOI: 10.1016/j.atmosenv.2013.10.001

Abstract/Summary

This paper shows how the advanced chemical transport model CMAQ can be used to estimate future levels of PM2.5 in the UK, the key air pollutant in terms of human health effects, but one which is largely made up from the formation of secondary particulate in the atmosphere. By adding the primary particulate contribution from typical urban roads and including a margin for error, it is concluded that the current indicative limit value for PM2.5 will largely be met in 2020 assuming 2006 meteorological conditions. Contributions to annual average regional PM2.5 concentration from wild fires in Europe in 2006 and from possible climate change between 2006 and 2020 are shown to be small compared with the change in PM2.5 concentration arising from changes in emissions between 2006 and 2020. The contribution from emissions from major industrial sources regulated in the UK is estimated from additional CMAQ calculations. The potential source strength of these emissions is a useful indicator of the linearity of the response of the atmosphere to changes in emissions. Uncertainties in the modelling of regional and local sources are taken into account based on previous evaluations of the models. Future actual trends in emissions mean that exceedences of limit values may arise, and these and further research into PM2.5 health effects will need to be part of the future strategy to manage PM2.5 concentrations.

Item Type:Article
Refereed:Yes
Divisions:Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:66278
Publisher:Elsevier

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