The Methods Of Forecasting Of SO2 And
Suspended Dust Concentrations For Warning
Purposes In The Example Of Selected Polluted
Regions In Poland
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.
Related Book
Other papers in this volume
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