Abstract
The aim of this paper is to develop the technique for mapping the air pollution in cities using measured and computed concentrations. It is based on the combined use of deterministic and stochastic modelling. Two different approaches are applied to extrapolate the measurements to the regular grid points covering the city. The first uses the method of the principal components, and the second is based on optimal interpolation or "kriging" of meteorological fields. The results of the application of this model for the mapping of air pollution in the city of Pskov, Russia, are given.
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