The article presents an innovative methodological approach to monitoring deformation processes in technogenically loaded territories. The main attention is paid to the creation and practical implementation of a unified methodology that allows for a comprehensive assessment of vertical displacements of points by mathematically combining heterogeneous arrays of geodetic data. The basis of the proposed methodology is the integration of the results of independent systems for recording spatial changes in ground geodetic measurements, as well as InSAR radar interferometry methods. The information processing algorithm is based on the mathematical apparatus of the modified principal component method. Thanks to such mathematical modeling, a multi-level analysis of deformations is provided - from the behavior of individual control points to a generalized assessment of the condition of the structure as a whole. The proposed approach is a universal tool for increasing the reliability of engineering and geodetic monitoring systems and information support for the safe operation of large hydraulic structures.
Janardhanan, A., Binojkumar, R.B., Oommen, T., Bouali, El H. & Sajinkumar, K.S. (2022). InSAR as a tool for monitoring hydropower projects: A review. Energy Geoscience. 3 (9). URL: https://doi.org/10.1016/j.engeos.2021.12.007
Othman, A.A., Al- Maamar, A.F., Al-Manmi, D.A.M., Liesenberg, V., Hasan, S.E., Al-Saady, Y.I., Shihab, A.T. & Khwedim, K. (2019). Application of DInSAR-PSI Technology for Deformation Monitoring of the Mosul Dam, Iraq. Remote Sensing, 11(22), 2632. URL: https://doi.org/10.3390/rs11222632
Ruiz-Armenteros A.M. et al. (2018). Deformation monitoring of dam infrastructures via spaceborne MT-InSAR. Procedia Computer Science. URL: https://doi.org/10.1016/j.procs.2018.10.049
Jänichen J. et al. (2022). Monitoring of Radial Deformations of a Gravity Dam Using Sentinel-1 Persistent Scatterer Interferometry. Remote Sensing. URL: https://doi.org/10.3390/rs14051112
Tretyak K., Kukhtar D. (2025). Time Series Analysis of GNSS, InSAR, and Robotic Total Station Measurements for Monitoring Vertical Displacements of the Dniester HPP Dam (Ukraine). Geomatics. URL: https://doi.org/10.3390/geomatics5040073
Tretyak K., Nesterenko S., Bisovetskyi Y. (2023). Complex InSAR radar image processing, GNSS and TPS measurements to determine the Kaniv HPP dam deformations. Springer (preprint). URL: https://doi.org/10.21203/rs.3.rs-3426456/v1
Tretyak K., Zayats O., Kuplovskyi B., Liashchuk A., Korliatovych T., Nesterenko S., Bisovetskyi Y. (2026). Assessment of the causes of the Kakhovka HPP dam collapse based on a comprehensive analysis of structural monitoring, seismic, and infrasound studies. Progress in Disaster Science, Elsevier. Vol. 30, 100549, ISSN 2590-0617. URL: https://doi.org/10.1016/j.pdisas.2026.100549
Abdi H., Williams L. J. (2010). Principal component analysis. WIREs Computational Statistics. URL: https://doi.org/10.1002/wics.101
Jolliffe I.T., Cadima J. (2016). Principal component analysis: a review and recent developments. Philosophical Transactions of the Royal Society, 374, 20150202. URL: https://doi.org/10.1098/rsta.2015.0202
MATLAB. MathWorks – Maker of MATLAB and Simulink. URL: https://www.mathworks.com/products/matlab.html