Nowadays due to the negative influence of manufacture on the environment, ecological situation in many regions is dangerous. Thus the prediction of the concentration of harmful emissions into the atmosphere is an actual problem. There is a need to build models of processes occurring in complex ecological systems which can be based on historical data and be aimed to detect the influence of different factors on such systems.
The building of a discrete dynamic model of prediction of particulate matter emission into the air is described in this paper. The discrete dynamic model has been developed using the optimization approach on the basis of historical observation data. The parameters of this model are identified by using Rastrigin’s method of a director cone.
The results obtained by applying this model are compared with real results. The error of the developed model of prediction is less than 3%.
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