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
Development of urban areas, especially Rostov-on-Don, which is one the largest city of the south of Russia, should be based on a comprehensive assessment and analysis of the structure of housing stock and engineering services, which provide all types of resources for the city. Research of the structure of housing stock, analysis of residential and private housings, municipal and business buildings, information on the territorial distribution of these objects with reference to the topography would allow to create a reliable information base for the development of district heating schemes. Housing stock of Rostov-on-Don was ranked by the year of construction, number of floors and material of the wall. The article assesses the providing of municipal and business buildings, kindergartens, schools, institutions consumer services, culture and sport institutions.
Keywords: urban development, energy, heating, year of construction, material of walls, floors
The article is devoted to solving the problem of energy saving in housing stock and communal services of the municipality by creating a model of housing stock with the help of modern geographic information systems.
Spatial model of energy efficiency, presented in this paper, built in the software environment of ArcGIS. This model allows to monitor and comprehensive evaluation of energy consumption in the building stock of Rostov-on-Don, as well as to solve the problems associated with increasing the energy efficiency of residential buildings.
Keywords: energy conservation, improvement of the energy efficiency, the reconstruction of urban development, urban development, housing stock