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Management of ambient air quality requires linking the various categories of the input data (emission data and meteorological data) and analytical description of pollutant transport processes. The purpose of the mathematical model is to provide a quantitative assessment of the individual processes intensity and their results in the form of pollution concentration maps. These data are in turn the basis for evaluation of the resulting environmental risk and for supporting planning decisions. Particular matter, PM10 and PM25, are typical polluting compounds which characterize the urban atmospheric environment. The paper presents selected results of computer simulation of PM dispersion processes to get the final concentration maps. Calculations were carried out for. the Warsaw area, on the actual emission and meteorological data set for the year 2012. The basic forecasting tool is the regional CALPUFF model, which was used to link the emission sources with the distributions of the annual mean concentrations. The resulting concentration maps of the main PM fractions indicate the areas, where the air quality standards are violated and remedial procedures are required.
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Projects co-financed by:
Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.