Shuang Yi, Hao-si Li, Shin-Chan Han, Nico Sneeuw, Chunyu Yuan, Chunqiao Song, In-Young Yeo, Christopher M. McCullough
{"title":"Quantification of the Flood Discharge Following the 2023 Kakhovka Dam Breach Using Satellite Remote Sensing","authors":"Shuang Yi, Hao-si Li, Shin-Chan Han, Nico Sneeuw, Chunyu Yuan, Chunqiao Song, In-Young Yeo, Christopher M. McCullough","doi":"10.1029/2024wr038314","DOIUrl":null,"url":null,"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 <span data-altimg=\"/cms/asset/2b554c7c-29e3-44b4-9fa1-20be0830d7c4/wrcr70056-math-0001.png\"></span><math altimg=\"urn:x-wiley:00431397:media:wrcr70056:wrcr70056-math-0001\" display=\"inline\" location=\"graphic/wrcr70056-math-0001.png\">\n<semantics>\n<mrow>\n<mrow>\n<mo>(</mo>\n<mrow>\n<mn>5.7</mn>\n<mo mathvariant=\"italic\">±</mo>\n<mn>0.8</mn>\n</mrow>\n<mo>)</mo>\n</mrow>\n<mo>×</mo>\n<msup>\n<mn>10</mn>\n<mn>4</mn>\n</msup>\n</mrow>\n$(5.7\\mathit{\\pm }0.8)\\times {10}^{4}$</annotation>\n</semantics></math> m<sup>3</sup>/s, approximately 28 times the average flow of the Dnipro River. After 30 days, the water level in the reservoir had dropped by <span data-altimg=\"/cms/asset/74b366ad-7ae7-4d33-bfc3-34db21388ac0/wrcr70056-math-0002.png\"></span><math altimg=\"urn:x-wiley:00431397:media:wrcr70056:wrcr70056-math-0002\" display=\"inline\" location=\"graphic/wrcr70056-math-0002.png\">\n<semantics>\n<mrow>\n<mn>12.6</mn>\n<mo mathvariant=\"italic\">±</mo>\n<mn>1.1</mn>\n</mrow>\n$12.6\\mathit{\\pm }1.1$</annotation>\n</semantics></math> m and its water volume was almost completely depleted by <span data-altimg=\"/cms/asset/5c866929-76c0-40fd-a394-e1cac50e80b1/wrcr70056-math-0003.png\"></span><math altimg=\"urn:x-wiley:00431397:media:wrcr70056:wrcr70056-math-0003\" display=\"inline\" location=\"graphic/wrcr70056-math-0003.png\">\n<semantics>\n<mrow>\n<mn>20.4</mn>\n<mo mathvariant=\"italic\">±</mo>\n<mn>1.4</mn>\n</mrow>\n$20.4\\mathit{\\pm }1.4$</annotation>\n</semantics></math> km<sup>3</sup>. 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.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"53 1","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Resources Research","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1029/2024wr038314","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
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 m3/s, approximately 28 times the average flow of the Dnipro River. After 30 days, the water level in the reservoir had dropped by m and its water volume was almost completely depleted by 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.
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.