Modelling system to estimate spatial and temporal variations in urban air pollutants

This work proposes the development of a suitable air pollution model to estimate the temporal and spatial variations in concentration values of air pollutants measured in monitoring network located in urban area. The use of the proposed modelling technique in data environmental analysis allows characterising the pollutants behaviour, to validate measured data and to predict the values of contaminant substance emissions; so it results a very useful analysis tool especially when there are numerous missing or erroneous data to be validated suitably. The developed model has been tested against environmental data acquired during several years by verifying the agreement of the predicted and measured values. Finally, some information about reliability degree of estimate is provided