Rationale for the Use Of Radonometry to Identify the Areas of Tectonic Faults During the Passage of Subway Tunnels in Dnipro

Abstract

Purpose. The article is aimed to substantiate the choice of the most effective method of geophysical research within the metropolis for more accurate mapping of fault zones in erupted rocks for the purposes of 2nd stage subway construction in the city of Dnipro. Methodology. Practical and organizational measures for radonometry for seismotectonics during the 2nd stage construction of the city subway were developed in detail, which in case of continued mining operations in the ravine-beam system contributes to further safe operation of the facility. Findings. Based on the analysis and evaluation of all profile studies conducted in the city in different years, one of the emanation methods was chosen – radonometry, and the method for its implementation was proposed, which provides dense urban development and complex tectonic structure of the region (fault zones) to obtain the necessary quality characteristics of soil incision. Originality. This paper for the first time provides a rationale for radonometry to identify fault zones in erupted rocks and assess their activity within the city. Practical value. The given technique is recommended for ensuring seismically safe conditions of drilling and blasting works during the passage of mine workings, which will ensure the maximum construction speed. In the future, these studies may be required when creating a ventilation system for underground structures of the 2nd stage of the city subway. Also, the radonometry results can be taken into account when placing elements of geotechnical (deformation) monitoring systems, both in tunnels and other deep-seated subway structures, and in buildings and structures. Clarification of the position of fault zones with the assessment of their activity can directly affect the choice of certain methods of measuring the deformation parameters of the observed objects, facilitate the choice of means of tunnel processing, highlight their qualitative or quantitative parameters.