Research of the environmental temperature influence on the horizontal displacements of the Dnieper hydroelectric station dam (according to GNSS measurements)

Tretyak, K.; Palianytsia, B.

doi:10.2478/rgg-2022-0001

Cited by 3 publications

(1 citation statement)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This regularity can be observed at all dams of Ukraine equipped with SSMSDS. The reason for these seasonal opposite shifts is the temperature deformation of the dam (Tretyak and Palianytsia 2022). It is important to note that seasonal deformations of the dam are confirmed by the data of joint processing of geodetic and geotechnical sensors (Tretyak, Zayats and Hrabovyi 2023).…”

Section: Fig 2 General View Of the Kaniv Hpp And Geological Zoning Of...mentioning

confidence: 80%

Complex InSAR radar image processing, GNSS, and TPS measurements to determine the Kaniv HPP dam deformations

Tretyak,

Nesterenko,

Bisovetskyi

2023

Preprint

Self Cite

View full text Add to dashboard Cite

The article examines the combined use of satellite radar and stationary systems for monitoring spatial displacements of structures (SSMSDS) to detect vertical deformations of dams. The object of research is the dam of the Kaniv HPP in Ukraine. Dam deformation monitoring includes automated use of GEOMOS software, as well as a GNSS and TPS points network. DInSAR radar interferometry algorithms were applied to calculate the vertical displacements of the dam based on satellite observations. This study analyzed 30 satellite images from Sentinel-1, taken every 12 days from August 10th, 2020 to August 5th, 2021. The error in determining the vertical movement speed of the dam control points is based on the data of radio interferometric measurements relative to the results obtained from GNSS and linear-angular measurements for the period from August 2020 to February 2021. The error margin was found to be 0.41 mm/mo, with an average speed of -3.5 mm/mo during that period. From February 2021 to August 2021, the error margin increased to 0.85 mm/mo, with an average speed of + 1.7 mm/mo. Combining radar and ground measurements confirmed the seasonal spatiotemporal distribution of the rates of vertical dam displacements, with the dam body subsiding from August 2020 to February 2021 and then rising from February 2021 to August 2021. The radar measurements also identified anomalous speed zones with no GNSS points or reflectors for linear-angular measurements, which could indicate hidden defects related to the dam's strength. Overall, the results showed the effectiveness of using DInSAR technology and ground-based automated systems to monitor potentially dangerous objects, such as dams.

show abstract

Section: Fig 2 General View Of the Kaniv Hpp And Geological Zoning Of...mentioning

confidence: 80%

Complex InSAR radar image processing, GNSS, and TPS measurements to determine the Kaniv HPP dam deformations

Tretyak,

Nesterenko,

Bisovetskyi

2023

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

Dam Spatial Temperature Deformations Model Development Based on GNSS Data

Tretyak

Palianytsia

2023

J. Perform. Constr. Facil.

View full text Add to dashboard Cite

Modeling of temperature deformations on the Dnister HPP dam (Ukraine)

Tretyak,

Serant,

Bisovetskyi

2024

Journal of Applied Geodesy

View full text Add to dashboard Cite

The extended operation of Ukrainian hydroelectric power plants has caused spatial deformations and aging of hydrostructures. This can lead to man-made disasters, especially after explosions resulting from missile attacks. As a result, various defects can appear in the concrete structures of the dam. Continuous structural monitoring of hydropower plants is essential to prevent man-made accidents. The research paper also demonstrates that changes in water temperature can affect the dam’s vertical and horizontal displacements. A model was developed and analysed to determine the spatial deformations of the Dnister HPP based on water temperature and distance from the dam’s edge. It was determined that horizontal displacement rates range from −2.2 to 2.7 mm/month, and vertical displacement rates range from −2 to 1.3 mm/month. They are also seasonal in nature. The studies conducted enable the prediction and identification of seasonal spatial deformations of the Dnister HPP dam. The research also helps to find their variations due to water temperature at the definite depth. If the temperature deformation model deviates from the measurement results, the structure in those areas should be more thoroughly inspected and analysed. This may indicate the structure’s weakening due to natural aging processes or construction-related deficiencies. Deformations in the dam’s structure can lead to cracks, compromising its stability and watertightness. Dams can vary in shape, design features, depth, volume, and water temperature. So, it is important to customize the displacement model for each dam. Any deviation from the specified model may suggest defects due to abnormal temperature distribution and spatial displacements.

show abstract

Research of the environmental temperature influence on the horizontal displacements of the Dnieper hydroelectric station dam (according to GNSS measurements)

Cited by 3 publications

References 14 publications

Complex InSAR radar image processing, GNSS, and TPS measurements to determine the Kaniv HPP dam deformations

Complex InSAR radar image processing, GNSS, and TPS measurements to determine the Kaniv HPP dam deformations

Dam Spatial Temperature Deformations Model Development Based on GNSS Data

Modeling of temperature deformations on the Dnister HPP dam (Ukraine)

Contact Info

Product

Resources

About