Retrieved from Vol. 26, No. 3, 2022
Pages 322 -328
Received 03.03.2022
Revised 24.07.2022
Accepted 22.08.2022
Retrieved from Vol. 26, No. 3, 2022
Pages 322 -328
Abstract
The article is devoted to the assessment and forecasting of the level of atmospheric air pollution in the street canyons of Kyiv by means of traffic flow parameters management. Today, road transport is the main anthropogenic source of environmental pollution. The specificity of atmospheric air pollution by traffic flows lies in their surface location, close proximity to people's homes, which leads to the accumulation of pollutants near the surface of the earth – in the breathing zone of people. The object of research is forecasting the level of pollution in street canyons of cities. The purpose of the work is modeling the level of pollution of the street network of Kyiv depending on the parameters of the traffic flow, and managing its environmental condition. Research methods – statistical methods, mathematical modeling. The article analyzes the main approaches to modeling the dispersion of pollutants in the atmosphere from road transport. It is advisable to assess the level of pollution of the city atmosphere in homogeneous elements of the city territory – street canyons. Based on the model of urban street canyons (OSPM), the level of pollution of the street canyons of the Pechersk district of Kyiv by the main harmful substances contained in the exhaust gases of cars was determined. The article establishes the critical intensities of traffic flows for each of the street canyons at which the level of pollution by the corresponding harmful substance reaches the maximum permissible value. Thus, the obtained results of the study make it possible to quickly forecast the level of atmospheric air pollution in the roadside space of cities and to warn of environmentally dangerous situations by managing traffic flow parameters.
Keywords:
environmental safety; street road network; transport flows; street canyon; pollution level; maximum permissible concentration