MATHEMATICAL MODELLING OF SOCIO-ECONOMIC PROCESSES AND SYSTEMS
The article develops a simulation model, structural and functional schemes of an intellectualized information-analytical system for monitoring air pollution (for high concentrations of carbon dioxide and sulfur, as well as dust particles with a dispersion of 2-5 microns) within the industrial area of the city. A feature of such a system is the ability to determine, dynamically monitor in real t ime the spatial map of the distribution of the concentration of the above harmful impurities and its forecasting, which would quickly determine areas of the city where the concentration of such impurities exceeds the allowable norm. The main advantage of the developed information -analytical system is the ability to conduct intelligent monitoring of air quality, which will allow for highly accurate and objective forecasting of changes in distribution and redistribution in space over time of harmful impurities. Tests of the developed information -analytical system allowed to investigate its work under different conditions and modes of measuring experiment, as well as to virtually determine the rational parameters of such a monitoring system. A satisfactory discrepancy of the results obtained with the help of experimental measurements wa s found in 7-13% in comparison with the data obtained by simulation, which confirms the correctness and adequacy of the compiled model.