Author(s)

D. Foszcz, T. Niedoba & J. Siewior

Abstract

The problems of air pollution monitoring is presented in this paper because of its harmful influence on the natural environment and the health conditions of people. In the example of the city of Krakow and cities of the Upper Silesia Industrial Area, the state of air pollution by suspended dust and SO2 were characterised. Statistical analysis of the data from automatic monitoring stations from the region mentioned above was performed and analysis of dependencies between the state of air pollution and meteorological data was carried out. The methodology of pollution modelling for the warning purposes was discussed. In this paper, on the basis of the measurement data from automatic monitoring stations, the forecast models of SO2 concentration and suspended dust were determined (ARX models and models obtained from adaptive modelling), which can be generally used for the purposes mentioned above. Keywords: air pollution monitoring, statistical methods, sulphur dioxide, suspended dust, ARX models, adaptive models. 1 Introduction Sulphur dioxide (SO2) is a colourless, reactive gas that is odourless at low concentrations but has a pungent smell at very high concentrations. Sulphur dioxide is highly soluble in water, resulting in the formation of sulphurous acid (VI). This can be done by homogenous oxidation and reactions in solution, with

Keywords

air pollution monitoring, statistical methods, sulphur dioxide, suspended dust, ARX models, adaptive models.