Applying the statistical method of GNSS time series analysis for the detection of vertical displacements of Dnister HPP-1 dam

Earth Surface Processes & Geodynamics


First and Last Name Academic degree E-mail Affiliation
Kornyliy Tretyak Sc.D. kornel1958 [at] Lviv Polytechnic National University
Lviv, Ukraine
Tetiana Korliatovych Ph.D. tetiasek [at] Lviv Polytechnic National University
Lviv, Ukraine
Ivan Brusak No brusak.ivan [at] Lviv Polytechnic National University
Lviv, Ukraine

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First published on this website: 29.08.2021 - 16:40

The research presents a method for deformation monitoring of engineering structures based on a statistical analysis of GNSS time series.  The construction of Dnister hydroelectric power plant (HPP) is an active intervention in geological-tectonic, geodynamic and hydrological conditions, which can lead to intensification of deformation processes around the area. In order to differentiate the kinematics of the Dnister HPP-1 dam, a method consists of detection covariance interrelationships between GNSS time series for the period from 01.07.2017 to 31.03.2021 is performed. Authors calculate the covariance interrelationships between all pairs of MP01-MP05 permanent GNSS stations of Dnister HPP-1 dam. Epochs 2017.8, 2019.0, and 2019.4 are characterized with extreme values of covariance coefficients. Based on the analysis, it is found that the amplitude of vertical oscillations of MP01 station is 3-8 times larger than the scale at other stations of the dam for similar epochs. The method can be additionally used to monitor the entire GNSS network of the Dniester HPP-1, not just the dam.


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