An approach to the formation of a description of the city's transport system is considered in order to identify the most polluted road spans with vehicle exhaust gases. The quantitative characteristics of pollution are determined in accordance with the standard Russian GOST R 56162-2019. When estimating emissions from road transport, information presented on the web in graphical form about traffic jam is used. In addition, the information on the number of cars, average speed and type of transport obtained by analyzing the video stream from web cameras by the YOLO neural network (version 4) is also used. The binding of pollution results to the transport system is formalized using the transport system ontology. The results can be used in dynamic models of pollution in urbanized areas.
We consider meteorological situations in Tomsk accompanied by weak (less than 1 m/s) and strong wind (leading to wind gusts over 11 m/s). Meteorological equipment of the Joint Use Center "Atmosphere" of V.E. Zuev Institute of Atmospheric Optics of the Siberian Branch of the RAS (hereinafter referred to as JUC “Atmosphere”) and numerical mesoscale meteorological and photochemical models developed in TSU were used to study these phenomena. Dates (cases) when the considered meteorological phenomena were most pronounced were selected for the analysis of observation results in 2019. For low wind conditions, the TSUNM3 meteorological model confirmed the periods of the day when observed wind speed did not exceed 1m/s. The photochemical mesoscale model applied for the conditions of Tomsk city confirmed the interrelation of weak surface wind with surface air quality deterioration. For strong wind conditions, the calculated values of wind speed change synchronously with the actual values measured both by the ultrasonic meteorological station of the JUC "Atmosphere" and the aeronautical meteorological station of Bogashevo airport.
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