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  Urban air quality affects the lives of millions, according to WHO statistics air quality contributes to 6.7% of all deaths worldwide. Managing air quality in urban areas is now a priority for governments. In order to manage air quality and to predict the effects of interventions such as low emissions zones it is useful to be able to model and forecast how pollution moves within an urban area.
This project seeks to establish the feasibility of using software techniques based on multi-objective optimisation to specify the size and shape of cells within a mesh in order to trade-off accuracy with computational cost.