This article is devoted to the study of indoor air quality in a higher education institution: assessment of the distribution patterns of suspended solids by equivalent diameters (RM0.5, RM1, RM2.5, RM5 and RM10).

Keywords: indoor air, indoor air quality, air pollution, dust, solid suspended particles, PM2.5, PM10

This article is devoted to the study of the dust factor in the residential premises of a student dormitory during repair work, including the assessment of the regularities of the distribution of solid suspended particles by equivalent diameters (PM0.5, PM1, PM2.5, PM5 and PM10) and the determination of their concentrations.

Keywords: dust pollution, PM2. 5, PM10, solid suspended particles, fine dust fractions, student dormitory

The article is devoted to improving the processing of radon flux density measurement data using mathematical processing. The article considers the influence of construction works on the radon flux density (RDP) indicators. for the purpose of the study, real measurements were taken at a mining and processing plant in the volgograd region. The article presents the construction of histograms and frequency polygons for measurements performed at different stages, as well as graphs of the empirical distribution function of a random variable. They clearly showed the impact of construction, the hypothesis of the influence of clay soils on the radon output from the soil was confirmed, namely, it was proved that the permeability of the near-surface layer of soil is one of the key factors determining the spatial PPR within homogeneous areas, that is, the permeability of near-surface deposits is one of the leading factors determining the distribution of PPR. analysis of the obtained results allows us to conclude that there is a correlation between the calculated data obtained and the data obtained at the measurement input, i.e. relationship of two or more random variables.

Keywords: radon, pollution, ionizing radiation, engineering surveys, random variable, histogram and frequency polygon, empirical distribution