Modelling System to Estimate Spatial and Temporal Variations in Urban Air Pollutants

Gregorio Andria, Giuseppe Cavone, Anna M. L. Lanzolla, Mario Savino

Abstract

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.

Keywords

air pollution modelling, monitoring network, data validation, spatial correlation

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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