In this article the potential applications of GIS systems in the management of air quality are discussed. In particular two specific issues are described: determining the spatial representativeness of air quality monitoring stations and areas of standards exceedances. The methods using spatial and emission data, as well as, the results of measurements, i.e. Land Use Regression method and so-called Beta parameter method are presented. The first one is based on the regression models in which mentioned information may be treated as independent data and, as a result, we obtain information on the levels of pollutant concentrations in point and space. The second method involves the parameterization of the spatial characteristics selected on the basis of the monitoring and emission data. These methods can find practical application in the field of air quality monitoring, assessment and the preparation of a public web presentation.
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