Quantification of the Flood Discharge Following the 2023 Kakhovka Dam Breach Using Satellite Remote Sensing

IF 5 1区 地球科学 Q2 ENVIRONMENTAL SCIENCES Water Resources Research Pub Date : 2025-03-06 DOI:10.1029/2024wr038314
Shuang Yi, Hao-si Li, Shin-Chan Han, Nico Sneeuw, Chunyu Yuan, Chunqiao Song, In-Young Yeo, Christopher M. McCullough
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Abstract

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 ) × 10 4 $(5.7\mathit{\pm }0.8)\times {10}^{4}$  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 $12.6\mathit{\pm }1.1$  m and its water volume was almost completely depleted by 20.4 ± 1.4 $20.4\mathit{\pm }1.4$  km3. In addition, this event provides a rare opportunity to examine the discharge coefficient—a key modeling 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.
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2023年卡霍夫卡大坝决口后洪流量的卫星遥感量化
乌克兰-俄罗斯战争爆发14个月后,卡霍夫卡大坝坍塌,导致了数周的灾难性洪水。然而,关于水库排水过程的细节很少。利用重力卫星轨道观测处理新技术,成功恢复了2 ~ 5天时间分辨率的水库质量连续变化。通过将这些变化与卫星图像和测高数据整合到水动力模型中,我们得出了缺口的有效宽度和长度以及随后30天水库流量的演变。我们的模型显示,初始体积流量为(5.7±0.8)×104$(5.7\mathit{\pm}0.8)\乘以{10}^{4}$ m3/s,约为第聂伯罗河平均流量的28倍。30 d后,水库水位下降12.6±1.1$12.6\mathit{\pm}1.1$ m,水库水量下降20.4±1.4$20.4\mathit{\pm}1.4$ km3,基本枯竭。此外,这一事件提供了一个难得的机会来检验大型水库的流量系数——一个关键的建模参数,我们发现该系数为0.8-1.0,明显大于之前在实验室测量的~ 0.6值,表明该参数可能与水库规模有关。本研究展示了利用多种遥感技术来解决极端水文事件带来的观测挑战的范例。
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来源期刊
Water Resources Research
Water Resources Research 环境科学-湖沼学
CiteScore
8.80
自引率
13.00%
发文量
599
审稿时长
3.5 months
期刊介绍: Water Resources Research (WRR) is an interdisciplinary journal that focuses on hydrology and water resources. It publishes original research in the natural and social sciences of water. It emphasizes the role of water in the Earth system, including physical, chemical, biological, and ecological processes in water resources research and management, including social, policy, and public health implications. It encompasses observational, experimental, theoretical, analytical, numerical, and data-driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.
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