Within the framework of the urban environment, the laws of distribution of the concentration of fine dust PM2.5, PM10 along road sections have been obtained. These data are necessary to assess the probability of exceeding the maximum permissible concentrations and to improve monitoring and control systems for atmospheric air. The analysis of the key factors influencing the content of PM2.5 and PM10 particles in the air of the territories adjacent to the roads has been carried out. Regression equations for total dust, PM2.5 and PM10 dust were obtained, allowing us to conclude that the concentration of PM2.5 and PM10 depends on total dust. The analysis showed that the mass content of PM10 in total dust pollution ranges from 73 to 81%, and the concentration of fine dust PM2.5 varies within two narrow ranges of about 11.6 and about 7 microns. A study of the proportion of PM2.5 of the total concentration showed that it is on average about 20%.

Keywords: dust, emissions, concentration, atmospheric air, roadway, climate, linear city, correlation coefficient, influencing factors

The forecast of fine dust pollution, the organization of monitoring and quality control of the air environment are relevant for cities with a developed transport infrastructure. The article checks the application of the distribution law for the concentration of fine dust PM2.5 and PM10 for highways of urban, district and local significance, the sample size was 50 values.

Keywords: linear city, distribution law, fine dust, roads, mixed gaussian distribution

The article reviews questions about description disperse composition and concentration of dust using the theory of stationary random functions. This approach allows us not only to obtain the characteristics of disperse composition of dust in the air, but also determine the number of additional parameters, namely, the average residence time fractional concentration above a predetermined level, the average number of outputs fractional concentration per unit time for a fixed level. Examples of correlation functions that can be used to approximate empirical data in the case of stationary процесс are submitted.

Keywords: air medium cities, disperse composition of dust, stochastic process, random function, the fractional composition of the dust, the integral concentration, correlation function, stationary process, normal distribution formula Rice, the function passes

The article reviews the three methods of assessment of vehicle exhaust gases in the countries of the European Union. In the first method fuel as an indicator of the transportation activity is used in combination with the average emission coefficient. The second method accounts for the fuel consumption of different types of vehicles and their emission standards. The third method allows for calculating exhaust gas emissions in combination with technical data and data on transport activity. The article presents equations to calculate the exhaust gas omission for each method and reviews examples of the particulate matter characteristics of the emissions of passenger and freight transport. The article also proposes the use of a log-normal law for dependence of transition of number of particles to integral functions on mass distribution of particles by diameter.

Keywords: exhaust emissions, particulate matter, concentration of pollutants, pollution concentration, pollutant index, transportation categories, vehicle categories, pollution standard