Capabilities of satellite altimetry measurements for assessing the consequences of the Kakhovka hydroelectric power plant dam destruction

Authors

  • Olha Tomchenko State Institution “Scientific Centre for Aerospace Research of the Earth of the Instituteof Geological Sciences of the National Academy of Sciencesof Ukraine”, Olesia Honchara str., 55-b, Kyiv, 01054, Ukraine https://orcid.org/0000-0001-6975-9099
  • Natalia Magas Admiral Makarov National University of Shipbuilding, Prospekt Heroiv Ukrainy, 9, Mykolaiv, 54007, Ukraine https://orcid.org/0000-0002-2579-1465
  • Natalia Sheviakina Institute of Telecommunications and Global Information Space of the NAS of Ukraine, Chokolivskyi bulvar, 13, Kyiv, 03186, Ukraine https://orcid.org/0000-0002-5984-5580
  • Snizhana Zahorodnia Institute of Telecommunications and Global Information Space of the NAS of Ukraine, Chokolivskyi bulvar, 13, Kyiv, 03186, Ukraine https://orcid.org/0000-0002-4332-4211
  • Ihor Radchuk Institute of Telecommunications and Global Information Space of the NAS of Ukraine, Chokolivskyi bulvar, 13, Kyiv, 03186, Ukraine https://orcid.org/0000-0003-4999-1258

DOI:

https://doi.org/10.36023/ujrs.2026.13.2.307

Keywords:

satellite altimetry, Hydroweb; Sentinel-1 SAR, water level anomaly, man-made disaster, Lower Dnieper basin

Abstract

The destruction of the Kakhovka HPP dam on 6 June 2023 caused one of the largest man-made hydrological disasters in Europe since the 1986 Chornobyl accident: according to UNOSAT, approximately 620 km² of the Lower Dnieper delta was inundated between 6 and 9 June 2023. Limited ground access to frontline and occupied territories makes Earth remote sensing methods practically the only instrument for objective monitoring of such events. This study presents a methodological framework for detecting and assessing the temporal dynamics of inundation through the integration of Hydroweb satellite altimetry data (three virtual stations located 10–33 km downstream of the dam), ground-based hydrological observations (three gauges of the Mykolaiv and Kherson Regional Hydrometeorological Centres), and radar (Sentinel-1) and optical (Sentinel-2, Landsat-9) satellite imagery. For the ground gauges, regular twice-daily observations and hourly measurements collected during the month after 6 June 2023 were used, enabling a detailed reconstruction of the onset, peak, and duration of the anomalous water-level rise. To overcome the incompatibility of vertical reference systems (EGM2008 and the Baltic 1977 height system), water-level anomalies were calculated as ΔH = H_i − H̄_; the baseline period selected was January–May 2023, with twice the standard deviation of the baseline series used as the statistical significance threshold. Statistically significant anomalous water-level rises were detected at all six stations from 6 June 2023. The largest anomalies were recorded at Hydroweb station 6 (~10.5 m, 10 km downstream of the dam), station 5 (~6.8 m, 17 km), and station 4 (~4.1 m, 33 km), with gradual attenuation toward the estuary. The duration of the anomalous state at downstream stations exceeded that at upstream stations, reflecting the hydrodynamics of lowland rivers after dam breaches. SAR and optical analysis confirmed the spatial extent of flooding of riparian and floodplain areas. The proposed methodology is suitable for rapid monitoring of man-made disasters in inaccessible or occupied territories and provides a basis for further environmental damage assessment.


Author Contributions: Conceptualization, O. V. Tomchenko; methodology, N. A. Sheviakina; data systematization and analysis, N. I. Magas and S. A. Zahorodnia, І.V.Radchuk I; preparation of visual materials, O. V. Tomchenko; drafting of the original manuscript, N. A. Sheviakina; review and editing, S. A. Zahorodnia and N. I. Magas; visualization, O. V. Tomchenko. All authors have read and agreed to the final version of the manuscript.

Funding: The study was carried out as part of the scientific research projects: "Development of a software complex to provide satellite monitoring of marine ecosystems" (2026–2027), RC № 0126U001826, and "Development and improvement of methods and technologies of geospatial modeling to solve thematic problems of remote sensing" (2023–2027), RC № 0123U100684.

Disclosure of AI use: We confirm that no generative artificial intelligence tools were used in the preparation of this manuscript.

Data Availability Statement: The data can be provided by the authors upon reasonable request.

Acknowledgments: The authors are grateful to the reviewers and editors for their valuable comments, recommendations, and attention to this work.

Conflicts of Interest: The authors declare no conflict of interest.

References

Al-doski, J., Mansor, S. B., & Shafri, H. Z. M. (2013). War impacts studies using remote sensing. IOSR Journal of Applied Geology and Geophysics, 1(2), 11–15. https://doi.org/10.9790/0990-0121115

Gleick, P., Vyshnevskyi, V., & Shevchuk, S. (2023). Rivers and water systems as weapons and casualties of the Russia-Ukraine war. Earth's Future, 11(10), e2023EF003910. https://doi.org/10.1029/2023EF003910

Halicki, M., & Niedzielski, T. (2022). The accuracy of the Sentinel-3A altimetry over Polish rivers. Journal of Hydrology, 606, 127355. https://doi.org/10.1016/j.jhydrol.2021.127355

Hapich, H., Novitskyi, R., Onopriienko, D., Dent, D., & Roubik, H. (2024). Water security consequences of the Russia-Ukraine war and the post-war outlook. Water Security, 21, 100167. https://doi.org/10.1016/j.wasec.2024.100167

Hartmane, I., Biyashev, B., Getman, A. P., Yaroshenko, O. M., & Anisimova, H. V. (2024). Impacts of war on Ukrainian nature. International Journal of Environmental Studies, 81(1), 455–462. https://doi.org/10.1080/00207233.2024.2314856

Hydroweb. (2023). Dnieper Basin water level data. Theia Land Data Centre. https://hydroweb.theia-land.fr/?lang=en&basin=DNIEPR

Kaplan, G., Rashid, T., Gasparovic, M., Pietrelli, A., & Ferrara, V. (2022). Monitoring war-generated environmental security using remote sensing: A review. Land Degradation & Development, 33(10), 1513–1526. https://doi.org/10.1002/ldr.4249

Kittel, C. M. M., Jiang, L., Tottrup, C., & Bauer-Gottwein, P. (2021). Sentinel-3 radar altimetry for river monitoring — a catchment-scale evaluation of satellite water surface elevation from Sentinel-3A and Sentinel-3B. Hydrology and Earth System Sciences, 25, 333–357. https://doi.org/10.5194/hess-25-333-2021

Literathy, P. (1993). Considerations for the assessment of environmental consequences of the 1991 Gulf War. Marine Pollution Bulletin, 27, 349–356. https://doi.org/10.1016/0025-326X(93)90042-I

Magas, N., Khorenzhenko, H., Zamuruieva, K., Beshevets, Yu., Ryndiuk, S., Barkar, V., Zamrii, M., & Bondar, M. (2023). Analiz hidrolohichnoi sytuatsii v rehioni Dnipro-Buzkoho lymanu pislia zruinuvannia Kakhovskoi HES [Analysis of the hydrological situation in the Dnipro-Bug estuary region following the destruction of the Kakhovka HPP dam]. Ecological Sciences, 4(49), 15–25. https://doi.org/10.32846/2306-9716/2023.eco.4-49.2

Munawar, H. S., Hammad, A. W. A., & Waller, S. T. (2022). Remote sensing methods for flood prediction: A review. Sensors, 22(3), 960. https://doi.org/10.3390/s22030960

Shumilova, O., Tockner, K., Sukhodolov, A., Khilchevskyi, V., De Meester, L., Stepanenko, S., Trokhymenko, G., Hernandez-Aguero, J. A., & Gleick, P. (2023). Impact of the Russia-Ukraine armed conflict on water resources and water infrastructure. Nature Sustainability, 6, 578–586. https://doi.org/10.1038/s41893-023-01068-x

Stevens, K., Campbell, L., Urquhart, G., Kramer, D., & Qi, J. (2011). Examining complexities of forest cover change during armed conflict on Nicaragua's Atlantic Coast. Biodiversity and Conservation, 20(12), 2597–2613. https://doi.org/10.1007/s10531-011-0093-1

Strocal, V., & Shevchuk, S. (2023). Flooding of Ukrainian territories: Risks for regional water and food security. Ecological Sciences, 4(49), 159–170. https://doi.org/10.32846/2306-9716/2023.eco.4-49.21

Sulistioadi, Y. B., Tseng, K. H., Shum, C. K., Hidayat, H., Sumaryono, M., Suhardiman, A., Setiawan, F., & Sunarso, S. (2015). Satellite radar altimetry for monitoring small rivers and lakes in Indonesia. Hydrology and Earth System Sciences, 19, 341–359. https://doi.org/10.5194/hess-19-341-2015

Tomchenko, O., Magas, N., Yakovenko, M., & Stakhiv, I. (2023). Porivnialnyi analiz zamilennia Kakhovskoi vodoimy za danymy DZZ [Comparative analysis of the shallowing of the Kakhovka reservoir based on the data of remote sensing]. 17th International Conference "Monitoring of Geological Processes and Ecological Condition of the Environment", Kyiv, 7–10 November 2023.

Trofymchuk, O., Zahorodnia, S., Sheviakina, N., Radchuk, I., & Tomchenko, O. (2020). Remote sensing monitoring of biotopes distribution within nature reserve area. Journal of Environmental Research, Engineering and Management, 76(3), 109–120. https://doi.org/10.5755/j01.erem.76.3.25204

UNOSAT. (2023, June 12). Kakhovka dam flood impact — Ukraine. United Nations Satellite Centre. https://unosat.org/products/3616

Vyshnevskyi, V., Shevchuk, S., Komorin, V., Oleynik, Y., & Gleick, P. (2023). The destruction of the Kakhovka dam and its consequences. Water International, 48(5), 631–647. https://doi.org/10.1080/02508060.2023.2247679

Wang, L., Zhang, M., Wen, J., Chong, Z., Ye, Q., & Ke, Q. (2019). Simulation of extreme compound coastal flooding in Shanghai. Advances in Water Science, 30(4), 546–555. https://doi.org/10.14042/j.cnki.32.1309.2019.04.010

Woodruff, J. D., Irish, J. L., & Camargo, S. J. (2013). Coastal flooding by tropical cyclones and sea-level rise. Nature, 504, 44–51. https://doi.org/10.1038/nature12855

Xu, H., Barbot, S., & Wang, T. (2024). Remote sensing through the fog of war: Infrastructure damage and environmental change during the Russian-Ukrainian conflict revealed by open-access data. Natural Hazards Research, 4, 1–7. https://doi.org/10.1016/j.nhres.2024.01.006

Yue, H., Liu, Y., & Wei, J. (2021). Dynamic change and spatial analysis of great lakes in China based on Hydroweb and Landsat data. Arabian Journal of Geosciences, 14(3), 149. https://doi.org/10.1007/s12517-021-06449-w

Zheng, Y., Sheviakina, N. A., Zagorodnia, S. A., Tomchenko, O. V., & Radchuk, I. V. (2022). Remote sensing monitoring of anthropogenic changes in the Desenka river channel (Kyiv, Ukraine). Ukrainian Journal of Remote Sensing, 9(1), 8–15. https://doi.org/10.36023/ujrs.2022.9.1.208

Published

2026-05-29

How to Cite

Tomchenko, O., Magas, N., Sheviakina, N., Zahorodnia, S., & Radchuk, I. (2026). Capabilities of satellite altimetry measurements for assessing the consequences of the Kakhovka hydroelectric power plant dam destruction. Ukrainian Journal of Remote Sensing, 13(2), 22–32. https://doi.org/10.36023/ujrs.2026.13.2.307

Issue

Section

Earth observation data applications: Challenges and tasks