Document Type
Article
Publication Date
4-6-2026
Abstract
Monitoring dam stability is critical to ensure structural safety and operational reliability. This study integrates Persistent Scatterer Interferometry (PSI) based on Sentinel-1 SAR imagery (2020–2023) with Finite Element Method (FEM) simulations to assess the behavior of the Koyna Dam in India. PSI detected crest displacements between −1.0 and −1.8 mm yr−1, while FEM simulations predicted a maximum vertical displacement of approximately −3.2 mm at the crest. Although these results represent different quantities (time-averaged displacement rates versus peak static displacement), both approaches indicate millimeter-scale deformation and a consistent pattern of settlement at the dam crest, supporting the interpretation of hydrologically driven structural response. The observed differences are primarily attributed to differences in spatial resolution and methodology between point-based FEM outputs and pixel-averaged satellite observations. The study demonstrates that combining satellite-based monitoring with numerical simulations provides a robust and cost-effective framework for dam safety assessment. This integrated approach supports improved interpretation of deformation behavior and offers practical value in extreme conditions, such as during flood events or climate-driven hydrological changes. Furthermore, continued advances in remote sensing and numerical modeling are expected to enhance the reliability of such approaches, making this methodology a transferable and sustainable solution for dam management worldwide.
Recommended Citation
Zouriq, S.; Hamdy, G.; Fawzy, A.; Thomas, R.; El-Askary, H.; Khalil, E.; ElSayad, M.; El-Salawaky, T. Monitoring Koyna Dam Displacements Using Persistent Scatterer Interferometry. Hydropower 2026, 1, 3. https://doi.org/10.3390/hydropower1010003
Peer Reviewed
1
Copyright
The authors
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.
Included in
Environmental Indicators and Impact Assessment Commons, Environmental Monitoring Commons, Hydrology Commons, Remote Sensing Commons, Water Resource Management Commons
Comments
This article was originally published in Hydropower, volume 1, issue 1, in 2026. https://doi.org/10.3390/hydropower1010003