Özet:

Abstract Purpose. Increasing the traffic intensity in large cities requires the implementation of plans to improve the air quality in accordance with the Procedure for the implementation of state monitoring in the field of atmospheric air protection. To develop and justify the measures to reduce air pollution and negative impact on the environment and public health in decision-making information systems, it is necessary to process large amounts of available heterogeneous information and use mathematical decision-making models. The paper proposes a mathematical decision-making model for evaluating the effectiveness of air quality management plans in cities with high emissions of mobile pollution sources. Methodology. For air quality management problems in cities, a methodology is used for constructing mathematical models of decision-making under emission parameters uncertainty due to incomplete data on vehicles` emissions and their distribution over the city. The structure of data flows in the information system is considered in accordance with the requirements of modern environmental decision support systems, during which the management bodies have the opportunity to take into account different social and economic criteria. Findings. Analysis of national statistics showed an increase in the contribution of mobile sources to the structure of urban air pollution. Information technologies and optimization models are considered that make it possible to quickly assess the impact of vehicles and their traffic on atmospheric air quality in cities and make strategic decisions on planning measures to improve it. Originality. The structure of an information system and a decision-making model for air quality management are proposed based on the multi-criteria optimization of emission parameters using the construction of “source – receptor” matrix in the network area for modelling air pollution of a city’s territory with motor vehicle emissions. Practical value. The model could be used at the stage of designing municipal environmental monitoring systems and developing plans for improving atmospheric air quality in urban agglomerations.

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