Computational Methods for Immision Analysis of Urban Atmospheric Pollution

This multidisciplinary research project applies statistical and neural models to analyse the immision values of urban atmospheric pollution. Data collection was from the network of pollution measurement stations in the Spanish Autonomous Region of Castile-Leon. Six meteorological parameters and a pollution measurement station in the city of Burgos were used to complete the study in 2007, within a period of slightly over six months . Meteorological data are compared, their values are interrelated, and relationships are established not only with the meteorological variables, but also with different days of the year. One of the principal contributions of this work relates to the selection of the most appropriate techniques to discriminate between the behaviour of the pollutants under study and to identify what we have referred to as “typical days” based on the variables in the study.