Discontinuity characterization for slope stability assessment using combined aerial photogrammetry, and geophysics approach

MakaleYayıncıda açık erişimScopus SJRQ1

Özet

An expeditious and precise slope stability assessment approach is required to mitigate the personnel and economic losses due slope failure disaster. This study successfully determines various discontinuity properties such as degree of fracturing, discontinuities orientation and persistence using combine unmanned aerial vehicle (UAV) and 2D electrical resistivity tomography (2D ERT) to evaluate the stability of the slope. The discontinuity orientations govern the various modes of failure such as planar, wedge, and flexure toppling. Whereas the degree of fracturing of the rock mass evaluates the quality of the rock mass using Rock Quality Designation (RQD) index. In addition, the persistence is defined as the extent to which the discontinuity on exposed surface rock intruded inside the rock mass. The 3D point cloud from UAV images allows to obtain the discontinuity orientations to analyse the potential failure at the site. The upper portion of the slope has no risk of planar and wedge failure, whereas 20% of the discontinuities are favourable for flexure toppling. In contrast, at the lower section of the slope 1.04%, 4.86% and 20% discontinuities are prone to planar, wedge and flexure failure respectively. At the same time the RQD index obtained via UAV survey reveals that the respectively area covered by very poor, poor, fair, good, and excellent rock were 7 m2, 3904 m2, 38,775 m2, 42,943 m2, 1546 m2. The ERT survey enable to estimate the area covered by poor, fair, good and excellent rock were 4 m2, 1650 m2, 2592 m2, 27,729 m2, and 55,200 m2, respectively. Both the UAV and 2D ERT survey shows the poor-quality rock in the north-east of the slope that reveals that the discontinuities are extended inside the rock mas. This study, therefore, conclude that the combined 2D ERT and UAV approach is efficient and expeditious approach for comprehensive slope stability assessment.

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RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/gumushane/14273Resmi atıflarda kullanılan kalıcı adres
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https://doi.org/10.1007/s11069-024-06932-3Yayıncı resmi DOI adresi
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AlanDeğerDil
dc.contributor.authorJunaid, Muhammad
dc.contributor.authorAbdullah, Rini Asnida
dc.contributor.authorUllah, Arshad
dc.contributor.authorSa’ari, Radzuan
dc.contributor.authorMahmood, Sajid
dc.contributor.authorRehman, Hafeezur
dc.contributor.authorRehman, Safi ur
dc.contributor.authorSari, Mahmut
dc.date.accessioned2026-10-22T10:22:29.527455844Z
dc.date.available2026-10-22T10:22:29.527455844Z
dc.date.issued2025
dc.description.abstractAn expeditious and precise slope stability assessment approach is required to mitigate the personnel and economic losses due slope failure disaster. This study successfully determines various discontinuity properties such as degree of fracturing, discontinuities orientation and persistence using combine unmanned aerial vehicle (UAV) and 2D electrical resistivity tomography (2D ERT) to evaluate the stability of the slope. The discontinuity orientations govern the various modes of failure such as planar, wedge, and flexure toppling. Whereas the degree of fracturing of the rock mass evaluates the quality of the rock mass using Rock Quality Designation (RQD) index. In addition, the persistence is defined as the extent to which the discontinuity on exposed surface rock intruded inside the rock mass. The 3D point cloud from UAV images allows to obtain the discontinuity orientations to analyse the potential failure at the site. The upper portion of the slope has no risk of planar and wedge failure, whereas 20% of the discontinuities are favourable for flexure toppling. In contrast, at the lower section of the slope 1.04%, 4.86% and 20% discontinuities are prone to planar, wedge and flexure failure respectively. At the same time the RQD index obtained via UAV survey reveals that the respectively area covered by very poor, poor, fair, good, and excellent rock were 7 m2, 3904 m2, 38,775 m2, 42,943 m2, 1546 m2. The ERT survey enable to estimate the area covered by poor, fair, good and excellent rock were 4 m2, 1650 m2, 2592 m2, 27,729 m2, and 55,200 m2, respectively. Both the UAV and 2D ERT survey shows the poor-quality rock in the north-east of the slope that reveals that the discontinuities are extended inside the rock mas. This study, therefore, conclude that the combined 2D ERT and UAV approach is efficient and expeditious approach for comprehensive slope stability assessment.
dc.description.sponsorshipHigher Education Commission, Pakistan, HEC
dc.description.sponsorshipUniversiti Teknologi Malaysia, UTM, (Q.J130000.2651.16J25)
dc.description.sponsorshipUniversiti Teknologi Malaysia, UTM
dc.identifier.doi10.1007/s11069-024-06932-3
dc.identifier.eissn1573-0840
dc.identifier.endpage3600
dc.identifier.issn0921-030X
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85205851437
dc.identifier.startpage3581
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/14273
dc.identifier.volume121
dc.identifier.wosWOS:001328361000003
dc.language.isoen
dc.publisherSpringer Science and Business Media B.V.
dc.relation.ispartofNatural Hazards
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subject2D ERT
dc.subjectDiscontinuity
dc.subjectRQD
dc.subjectSlope Stability assessment
dc.subjectUAV
dc.subject.classificationGeosciences, Multidisciplinary
dc.subject.classificationMeteorology & Atmospheric Sciences
dc.subject.classificationWater Resources
dc.subject.classificationGeology
dc.subject.otherdiscontinuity
dc.subject.otherelectrical resistivity
dc.subject.otherestimation method
dc.subject.otherfailure mechanism
dc.subject.otherphotogrammetry
dc.subject.otherslope stability
dc.titleDiscontinuity characterization for slope stability assessment using combined aerial photogrammetry, and geophysics approach
dc.typeArticle
rdl.citation.openalex8
rdl.citation.scopus7
rdl.citation.wos9
rdl.oa.statusgreen
rdl.oa.statuspreprint
rdl.scopus.quartileQ1
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)