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

Earth Surface Processes & Geodynamics

Authors

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

I and my co-authors (if any) authorize the use of the Paper in accordance with the Creative Commons CC BY license

First published on this website: 29.08.2021 - 16:40
Abstract 

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.

Keywords 
GNSS time series
deformation monitoring
vertical displacements
covariance coefficient
Dnister HPP
References 

Brusak, I., & Tretyak, K. (2020). About the phenomenon of subsidence in continental Europe in December 2019 based on the GNSS stations data. In International Conference of Young Professionals «GeoTerrace-2020» (Vol. 2020, No. 1, pp. 1-5). European Association of Geoscientists & Engineers. DOI: https://doi.org/10.3997/2214-4609.20205717

Savchyn, I., & Pronyshyn R. (2020) Differentiation of recent local geodynamic and seismic processes of technogenic-loaded territories based on the example of Dnister Hydro Power Complex (Ukraine). Geodesy and Geodynamics, 11 (5), 391-400. DOI: https://doi.org/10.1016/j.geog.2020.06.001

Tretyak, K. & Brusak, I. (2021) Method for detecting short-term displacements of the Earth's surface by statistical analysis of GNSS time series. Geodesy, Cartography, and Aerial Photography, 93(1), 27-34. DOI: https://doi.org/10.23939/istcgcap2021.93.027

Tretyak К., Savchyn І., Zayats, O., Golubinka, Yu., Lompas О., Bisovetsky, Yu. (2017) Installation and maintenance of automated systems for control of spatial displacements of engineering structures of Ukrainian hydroelectric power plants. Hydropower of Ukraine, 33-41 (In Ukrainian)