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

MakaleAçık Erişim
  • SDG 9 · Sanayi, Yenilikçilik ve Altyapı

Özet

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.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/gumushane/14032Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.1007/s11069-025-07447-1Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorCelik, Fatih
dc.contributor.authorSanli, Fusun Balik
dc.contributor.authorCelik, Kemal
dc.contributor.authorCelik, Ayse
dc.date.accessioned2026-10-22T10:22:07.779966916Z
dc.date.available2026-10-22T10:22:07.779966916Z
dc.date.issued2025
dc.description.abstractObserving 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.
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştırma Kurumu, TUBITAK
dc.identifier.doi10.1007/s11069-025-07447-1
dc.identifier.eissn1573-0840
dc.identifier.endpage16763
dc.identifier.issn0921-030X
dc.identifier.issue14
dc.identifier.scopus2-s2.0-105008396152
dc.identifier.startpage16747
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/14032
dc.identifier.volume121
dc.identifier.wosWOS:001511359700001
dc.language.isoen
dc.publisherSpringer Science and Business Media B.V.
dc.relation.ispartofNatural Hazards
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectDam monitoring
dc.subjectInSAR
dc.subjectLandslide detection
dc.subjectMulti-temporal SAR
dc.subjectTime series
dc.subject.classificationGeosciences, Multidisciplinary
dc.subject.classificationMeteorology & Atmospheric Sciences
dc.subject.classificationWater Resources
dc.subject.classificationGeology
dc.subject.otherGumushane
dc.subject.otherKurtun Dam
dc.subject.otherTurkey
dc.subject.otherdetection method
dc.subject.otherdisplacement
dc.subject.otherlandslide
dc.subject.othersynthetic aperture radar
dc.subject.othertime series
dc.titleKurtun Dam oscillate characterization with landslide possible effect detection using InSAR observations
dc.typeArticle
dspace.entity.typePublication
rdl.citation.openalex2
rdl.citation.scopus1
rdl.citation.wos1
rdl.oa.statushybrid
rdl.oa.urlhttps://link.springer.com/content/pdf/10.1007/s11069-025-07447-1.pdf
rdl.scopus.quartileQ1
rdl.sdgSDG09
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)