EGU25-15017, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-15017
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Friday, 02 May, 14:20–14:30 (CEST)
 
Room K2
Quantification of the flood discharge following the 2023 Kakhovka Dam breach using satellite remote sensing
Shuang Yi1, Hao-si Li1, Shin-Chan Han2, Sneeuw Nico3, Chunyu Yuan4, Chunqiao Song4, In-Young Yeo2, and Christopher M. McCullough5
Shuang Yi et al.
  • 1University of Chinese Academy of Sciences, Beijing, China (s.yi@ucas.ac.cn)
  • 2School of Engineering, University of Newcastle, Callaghan, NSW2308, Australia
  • 3Institute of Geodesy, University of Stuttgart, Stuttgart 70174, Germany
  • 4Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
  • 5Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA

Fourteen months post the Ukrainian-Russian war outbreak, the Kakhovka Dam collapsed, leading to weeks of catastrophic flooding. Yet, scant details exist regarding the reservoir draining process. By using a new technique for processing gravimetric satellite orbital observations, this study succeeded in recovering continuous changes in reservoir mass with a temporal resolution of 2–5 days. By integrating these variations with satellite imagery and altimetry data into a hydrodynamic model, we derived the effective width and length of the breach and the subsequent 30-day evolution of the reservoir discharge. Our model reveals that the initial volumetric flow rate is  (5.7±0.8)×104 m3/s, approximately 28 times the average flow of the Dnipro River. After 30 days, the water level in the reservoir had dropped by 12.6±1.1 m and its water volume was almost completely depleted by  20.4±1.4 km3. In addition, this event provides a rare opportunity to examine the discharge coefficient—a key modelling parameter—of giant reservoirs, which we find to be 0.8–1.0, significantly larger than the ~0.6 value previously measured in the laboratory, indicating that this parameter may be related to the reservoir scale. This study demonstrates a paradigm of utilizing multiple remote sensing techniques to address observational challenges posed by extreme hydrological events.

How to cite: Yi, S., Li, H., Han, S.-C., Nico, S., Yuan, C., Song, C., Yeo, I.-Y., and McCullough, C. M.: Quantification of the flood discharge following the 2023 Kakhovka Dam breach using satellite remote sensing, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-15017, https://doi.org/10.5194/egusphere-egu25-15017, 2025.