Simulation modelling as a tool for urban air pollution forecasting

Abstract

The article substantiates the need to create a digital twin of the urban area in order to develop and implement scenarios of changes in ambient air quality. The problem of air pollution in populated areas is one of the key environmental problems affecting all processes of human life. The paper presents the results of creating formal models that represent qualitative and quantitative descriptions of all key objects and processes that influence the state of the environment. An agent-based model and a related system dynamics model have been developed on the basis of such models, which allow creating different scenarios of changes in key objects and processes of the urban environment. This provides an opportunity to develop a system of urban environment process management and assess the short- and long-term consequences of their implementation. To visualise the simulation results and their presentation, a dynamic three-dimensional model was created, reflecting all aspects of the created simulation model.