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Monitoring of mine fields at Stebnyk potassium deposit area by a geodetic and geotechnical methodNormal access

Authors: I. Savchyn, K. Tretyak, S. Petrov, O. Zaiats and I. Brusak
Event name: First EAGE Workshop on Assessment of Landslide and Debris Flows Hazards in the Carpathians
Session: Assessment of geological hazards and new techniques for risk mitigation
Publication date: 18 June 2019
DOI: 10.3997/2214-4609.201902169
Language: English
Info: Extended abstract, PDF ( 1.18Mb )
Price: € 20

The main purpose of this work is a monitoring of the possible current local geodynamic processes in the territory of the mine fields at Stebnyk potassium deposit area using precise tilt meters and precise static GNSS receivers. Tilt measurements were carried out to find the magnitude and azimuth of the maximum inclination of the territory. Using three precise tilt meters 47 underground collapses were registered on the territory during the period from June 11, 2018, to December 06, 2018. The greatest activity and intensity of underground collapses fixed from September 27, 2018, to November 11, 2018. Three cycles of periodic static GNSS measurements were carried out to determine deformation processes on the territory of mine fields at Stebnyk potassium deposit area. Using obtained data vertical and horizontal displacements and velocity of the territory were calculated. Vectors of horizontal displacement of the territory have different directions, but most of them indicate the northeast and southwest direction of movement. As a result of the analysis of the distribution of the vertical and horizontal velocity and tilt measurements on the territory of mine fields at Stebnyk potassium deposit area four main geodynamic zones of accumulation of epicenters of underground collapses, lowering zones as well as zones of compression and stretching was highlighted. The scientific novelty consists in the possibility of the real-time study of the spatial kinematics in industrially dangerous territories based on the results of tilt and GNSS measurements. The represented algorithm can be used for the monitoring of different industrially dangerous territories.

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