ABSTRACT
This final chapter aims to draw together principles from previous chapters and relate them to guidelines for modelling. The management of urban air quality is a complicated issue, requiring:
a sufficiently detailed set of data for the urban area being studied (topography, building arrangements, sources, wind etc);
a methodology for constructing scenarios;
models for predicting the dispersion of the air pollutant over the area; and
a decision support methodology able to integrate the various modules and present appropriate choices for decision–making.
If information is needed about direct health effects (short term or long term), methodologies need to be added for the prediction of such effects, based on the output of the dispersion model. Population density and location data are also needed. Overall, a complex set of data, models and support tools needs to be integrated to provide sufficient information for managing air quality in a coherent way.