Research of seasonal deformations of the Dnipro HPP dam according to GNSS measurements

https://doi.org/10.23939/jgd2021.01.005
Received: March 15, 2021
1
Department of Higher Geodesy and Astronomy of Lviv Polytechnic National University
2
Department of Higher Geodesy and Astronomy of Lviv Polytechnic National University

The goal. Identify the relationship between seasonal temperature changes and vertical and horizontal displacements of GNSS control points based on data obtained by the automated monitoring system of the Dnipro HPP dam in the period from 2016 to 2020. Input data. The research used data of uninterrupted GNSS measurements obtained at 16 points of the Dnipro HPP dam from mid-2016 to mid-2020. Method. A specially developed software product analyzes the GNSS time series of measurements pre-processed by the GeoMoS system to determine the parameters of seasonal displacements and their relationship with seasonal changes in air temperature. The GNSS time series analysis. Based on the conducted research, the influence of environmental temperature has a decisive effect on the cyclicity of dam deformations. This applies to both horizontal and vertical displacements but in the absence of significant changes in the water level in the upper reservoir. Values of extreme displacements increase closer to the middle of the dam and decrease at the edges. This tendency is observed every year in the study period. According to the three-year GNSS dam monitoring, the amplitude of semi-annual horizontal oscillations of the control points relative to the dam axis is in the range of 15-18 mm. Almost all vectors of horizontal displacements are perpendicular to the axis of the arcuate dam. In the first half of the year, the vectors of horizontal displacements aim to widen the dam, and in the second half of the year - at compressing the dam. The analysis of the data represents that almost every year, extreme deviations, both horizontal and vertical, occur in February and August. Temperature extremes occur faster than excessive GNSS displacements. For the dam of the Dnipro HPP, the extreme horizontal displacements lag on average by 37 days, and the vertical ones - by 32 days from the extreme temperatures. The deformations of the dam are related to the concrete structure temperature, which changes with a certain delay relative to the air temperature. The magnitudes of extreme displacements and the epoch of their manifestation depend on the dam's design and its technical parameters. For each dam, these extreme displacements and the periods of their representation will be different. Accordingly, monitoring these displacements and their changes over time is one of the criteria for assessing the general condition of the dam. Scientific novelty and practical significance. The regularities of the connection between the change of temperature and the displacements of the GNSS points, revealed during the research, can be used for the further study of data processing and analysis of the   hydraulic structures monitoring.

1. Chen, Y. Q., Chrzanowski, A., & Secord, J. M. (1990). A strategy for the analysis of the stability of reference points in deformation surveys. CISM Journal, 44(2), 141-149.
https://doi.org/10.1139/geomat-1990-0016
2. Chrzanowski, A., Szostak, A., & Steeves, R. (2011, October). Reliability and efficiency of dam deformation monitoring schemes. In Proceedings of the CDA 2011 Annual Conference. Fredericton, NB. Canada. October (pp. 15-20).
3. Corsetti, M., Fossati, F., Manunta, M., & Marsella, M. (2018). Advanced SBAS-DInSAR technique for controlling large civil infrastructures: An application to the Genzano di Lucania dam. Sensors, 18(7), 2371.
https://doi.org/10.3390/s18072371
4. Drummond, P. (2010, April). Combining Cors Networks, Automated Observations and Processing, for Network Rtk Integrity Analysis and Deformation Monitoring. In Proceedings of the 15th FIG Congress Facing the Challenges, Sydney, Australia (pp. 11-16).
5. Khosravi, S., & Heydari, M. M. (2013). Modelling of concrete gravity dam including dam-water-foundation rock interaction. World Appl. Sci. J, 22, 538-546.
6. Mata, J., de Castro, A. T., & da Costa, J. S. (2013). Time-frequency analysis for concrete dam safety control: Correlation between the daily variation of structural response and air temperature. Engineering structures, 48, 658-665.
https://doi.org/10.1016/j.engstruct.2012.12.013
7. Milillo, P., Bürgmann, R., Lundgren, P., Salzer, J., Perissin, D., Fielding, E., ... & Milillo, G. (2016). Space geodetic monitoring of engineered structures: The ongoing destabilization of the Mosul dam, Iraq. Scientific reports, 6(1), 1-7.
https://doi.org/10.1038/srep37408
8. Moroko, V. M. (2010). Dniproges: Black August 1941. Scientific works of the historical faculty of Zaporizhia National University. Iss. XXIX. P. 197-202.
9. National report on the state of man-made and natural security in 2013 Access mode: http:/ www.mns.gov.ua/content/annual_report_2013.html.
10. Oro SR, Mafioleti TR, Neto AC, Garcia SRP, Júnior CN Investigation of the influence of temperature and water level of a reservoir on the displacement of a concrete dam. International J. Appl. Fur. Eng. 2016; 21: 107-120. https://cyberleninka.org/article/n/1341354.pdf
https://doi.org/10.1515/ijame-2016-0007
11. Sarkar, R., Paul, D. K., & Stempniewski, L. (2007). Influence of reservoir and foundation on the nonlinear dynamic response of concrete gravity dams. ISET Journal of Earthquake technology, 44(2), 377-389.
12. Scaioni, M., Marsella, M., Crosetto, M., Tornatore, V., & Wang, J. (2018). Geodetic and remote-sensing sensors for dam deformation monitoring. Sensors, 18(11), 3682.
https://doi.org/10.3390/s18113682
13. Tretyak, K., Periy, S., Sidorov, I., & Babiy, L. (2015). Complex High Accuracy Satellite and Field Measurements of Horizontal and Vertical Displacements of Control Geodetic Network on Dniester Hydroelectric Pumped Power Station (HPPS). Geomatics and environmental engineering, 9(1). 83-96. http://dx.doi.org/10. 7494/geom.2015.9.1.83.
https://doi.org/10.7494/geom.2015.9.1.83
14. Ukrhydroenergo News. Safety of dams. https://uhe.gov.ua/en/node/5207.
15. Zeidan, B. A. (2015, March). Effect of foundation flexibility on dam-reservoir-foundation interaction. In Proceedings of the Eighteenth International Water Technology Conference, Sharm El Sheikh, Egypt (pp. 12-14). https://www.researchgate.net/publication/280308540
16. Zhang, L., Peng, M., Chang, D., & Xu, Y. (2016) Dam Failure Mechanisms and Risk Assessment; John Wiley & Sons: Hoboken, NJ, USA, 2015; ISBN 9781118558522.
https://doi.org/10.1002/9781118558522
17. Zhang, Y., Yang, S., Liu, J., Qiu, D., Luo, X., & Fang, J. (2018). Evaluation and Analysis of Dam Operating Status Using One Clock-Synchronized Dual-Antenna Receiver. Journal of Sensors, 2018.
https://doi.org/10.1155/2018/9135630