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eTheses Repository - University of Birmingham

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scheme, and therefore it was necessary to implement one into a mesoscale model. The urban<br />

canopy scheme BEP, developed by Martilli et al. (2002) was chosen, since it has the advantage<br />

<strong>of</strong> being a validated multi-layer canopy scheme which incorporates the influence <strong>of</strong> surface<br />

morphology and spreads the influence <strong>of</strong> the urban surface in the vertical.<br />

METRAS (Schlünzen 1988) is a mesoscale model which has been used to study the effects <strong>of</strong> the<br />

urban surface on air quality. Although this model has been used to simulate the dominant effects<br />

<strong>of</strong> the urban surface, it has a simple parameterisation <strong>of</strong> the urban surface based on the roughness<br />

length approach. The urban surface is simulated in the same way as other land use types by using<br />

appropriate values <strong>of</strong> surface parameters such as the albedo, roughness length. This method<br />

neglects many <strong>of</strong> the urban canopy layer and boundary layer effects which are parameterised by<br />

more sophisticated multi-layer urban canopy schemes. The implementation <strong>of</strong> the BEP urban<br />

canopy scheme into METRAS provides a tool to address important research questions on the<br />

effect <strong>of</strong> urban land use changes at the regional scale.<br />

In order to investigate the problem <strong>of</strong> thermal modifications due to urbanisation it was also<br />

necessary to select a study area to model. London was chosen for this study, since it is a major<br />

world urban centre, which has grown considerably in time, and for which key environmental,<br />

social and economic impacts associated with climate change have been identified (LCCP 2002).<br />

There is very limited numerical modelling work on the London area and the possible effects <strong>of</strong><br />

the urban structure on climate.<br />

This work is important because it explores whether the climate in the London region has been<br />

influenced by the urban structure, as well as ascertaining which properties <strong>of</strong> the city which are<br />

most important in terms <strong>of</strong> modifying climate. By running the model with different land use<br />

5

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