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Kurtun Dam oscillate characterization with landslide possible effect detection using InSAR observations

Author

Listed:
  • Fatih Celik

    (Yildiz Technical University)

  • Fusun Balik Sanli

    (Yildiz Technical University)

  • Kemal Celik

    (Gumushane University)

  • Ayse Celik

    (Gumushane University)

Abstract

Observing and analyzing areas prone to landslides is crucial due to the extensive destructive capacity of landslides. To monitor landslide activities across diverse areas, remote sensing data and image processing methods are employed. This study proposes a method that integrates Multi-temporal Interferometric Synthetic Aperture Radar and advanced temporal tracking technologies to intensify surveillance of the Kurtun Dam and its valley. According to Sentinel-1 A data, the net displacement rates of the dam crest varied between − 12 and 2 mm/year (LOS). InSAR technology surveys the entire dam catchment area, detecting critical infrastructure such as slopes, spillways, and access roads. The crest of the Kurtun Dam experiences oscillatory deformation during filling activities, but the lateral slopes and downstream abutment remain stable. As reservoir water levels rise, the dam structure exhibits downstream deformations, whereas declining water level results in upstream displacements. Monitoring points located the opposite Ozkurtun settlement and within the reservoir area, both facing the dam, exhibited displacement rates of up to -50 mm monthly. In regions susceptible to landslides, the greatest annual displacement rates were observed to be -54 and − 127 mm/year. This study suggests that integrating 3D modeling with InSAR technology into dam monitoring systems can significantly enhance their effectiveness. At Kurtun Dam and other crucial locations within the catchment area, the integrated approach combined with topographic monitoring, ensures reliable landslide detection and analysis. By advancing monitoring technology for embankment dams, this strategy prioritizes safety and structural integrity assessments.

Suggested Citation

  • Fatih Celik & Fusun Balik Sanli & Kemal Celik & Ayse Celik, 2025. "Kurtun Dam oscillate characterization with landslide possible effect detection using InSAR observations," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(14), pages 16747-16763, August.
  • Handle: RePEc:spr:nathaz:v:121:y:2025:i:14:d:10.1007_s11069-025-07447-1
    DOI: 10.1007/s11069-025-07447-1
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    References listed on IDEAS

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    1. Caglar Bayik & Saygin Abdikan & Alpay Ozdemir & Mahmut Arıkan & Füsun Balik Sanli & Ugur Dogan, 2021. "Investigation of the landslides in Beylikdüzü-Esenyurt Districts of Istanbul from InSAR and GNSS observations," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(1), pages 1201-1220, October.
    2. Yong Han & Guangchun Liu & Jie Liu & Jun Yang & Xiangcheng Xie & Weitao Yan & Wenzhi Zhang, 2023. "Monitoring and Analysis of Land Subsidence in Jiaozuo City (China) Based on SBAS-InSAR Technology," Sustainability, MDPI, vol. 15(15), pages 1-22, July.
    3. Hui Liu & Songbo Huang & Chou Xie & Bangsen Tian & Mi Chen & Zhanqiang Chang, 2023. "Monitoring Roadbed Stability in Permafrost Area of Qinghai–Tibet Railway by MT-InSAR Technology," Land, MDPI, vol. 12(2), pages 1-19, February.
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