Comptes rendus de l’Acade'mie bulgare des Sciences, Vol 64, No1, pp.117-124

On-Line Gaussian Process Model for the Prediction of the Ozone Concentration in the Air

Dejan Petelin, Juš Kocijan, Alexandra Grancharova


Ozone is one of the main air pollutants with harmful influence on human health. Therefore, predicting the ozone concentration and informing the population when the air-quality standards are not being met is an important task. In this paper a method for prediction of the ozone concentration based on an on-line updated dynamic model obtained from measurement data is proposed and evaluated as a first- and third-order model. For this purpose hourly measurements of the concentrations of ozone and nitrogen dioxide in the air of the town of Burgas, Bulgaria are used.

Key words: ozone concentration prediction, dynamic systems modelling, on-line gaussian process model