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Ambient air quality management requires linking the various categories of input data (emission data and meteorological data) and analytical (mathematical) description of pollutants 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 tum the basis for evaluation of the resulting environmental risk and for supporting planning decisions. Due to high complexity of the system, its forecasts contain a fairly wide range of uncertainty, which should be taken into consideration in the decisions taken. The paper presents selected results of computer simulation of pollution transport ·processes and the final air quality maps for the typical polluting compounds which characterize the urban atmospheric environment. Calculations were carried out on the actual emission and meteorological dataset from 2012 for Warsaw. The basic forecasting tool is the regional CALPUFF model, which was used to link the emission sources with the distributions of the annual mean concentration values. The resulting concentration maps of most dangerous pollutants show the areas, where thresholds of air quality standards are exceeded 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.