Abstract
The level of environmental pollution is the main criterion that determines the quality of living conditions in cities. One of the most dangerous environmental problems of cities that affects the health of the population is atmospheric air pollution by road transport. In the city of Kyiv, the total volume of pollutant emissions from stationary sources in 2020 amounted to 25.5 thousand tons, from mobile sources almost 9 times more – 225.8 thousand tons. The comprehensive air pollution index (API) is used to characterize air quality in cities which allows you to determine how many times the total level of air pollution with several impurities exceeds the permissible value and to identify substances that contribute the most to atmospheric pollution. In most European countries, the USA, Canada and others, the air quality index (AQI) is used to control the level of atmospheric air pollution. When calculating the AQI, the concentration of pollutants is determined by field studies (monitoring) or mathematical modelling. In contrast to monitoring, which is a rather expensive study, mathematical modelling provides not only an operational assessment of the level of atmospheric pollution but also makes it possible to forecast the state of the air and to determine strategies for reducing pollutant emissions. In this regard, the creation of methods that allow making operational forecasts of the level of atmospheric pollution in cities and preventing critical situations in which the concentration of pollutants exceeds the maximum permissible values is an extremely urgent task.