MODELLING STUDY FOR CHARACTERIZING AND PREDICTING URBAN AIR POLLUTION

摘要

This work proposes the development of an air pollution model based on a joined application of Kalman filter and Kriging technique. The use of modelling techniques in data environmental analysis allows to characterize the pollutants behaviour, in order to validate the measured data and to predict the values of contaminant substances emissions; so it results a very useful analysis tool, especially when there are numerous missing or erroneous data.The joint applications of both Kalman filter and Kriging algorithms allows taking the main advantages of two different methods, in order to improve the performance of the developed model and to reduce its uncertainty too.