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Research & review articles are invited for publication in September 2026 (Vol. 28, Issue 3) || Submission: up to 28th September || Editorial decision: within 48 hrs.

Identification of landslide potential based on Ground Penetrating Radar (GPR) data in Prambanan District, Sleman, Yogyakarta

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  • Identification of landslide potential based on Ground Penetrating Radar (GPR) data in Prambanan District, Sleman, Yogyakarta
Adella Syavira, Y Yatini * and Wrego Seno Giamboro
Geophysics Engineering Departement, Faculty of Mineral Technology, Universitas Pembangunan Nasional Veteran Yogyakarta ( SWK (104) North Ring Road Street Condong Catur 55283), Indonesia.
 
Research Article
Global Journal of Engineering and Technology Advances, 2022, 13(02), 071-078.
Article DOI: 10.30574/gjeta.2022.13.2.0193
DOI url: https://doi.org/10.30574/gjeta.2022.13.2.0193
Received on 12 October 2022; revised on 21 November 2022; accepted on 23 November 2022
 
The application of the Ground Penetrating Radar (GPR) method which was carried out in the Prambanan District, Sleman, Special Region of Yogyakarta was to determine the geometry of the slip plane of potential landslides. This method can see the contrast between the slip plane of the landslide and the landslide material that is above the slip plane. Measurements were made on field "A" consisting of 6 tracks and field "B" consisting of 7 tracks. The cross section of the radargram shows a penetration depth of about 6 - 7 meters, divided into 3 layers, namely, the S1 layer (soil), the S2 layer (transition zone), and bedrock. The depth of the slip field for potential landslides produced at the boundary layers of S1 and S2 is about 1 – 1.5 meters and the depth of the boundary layers for s2 and bedrock is about 2 – 3 meters. The geometry distribution map of the slip plane shows the type of landslide in the form of a translational landslide.
 
Slip Plane; GPR Method; Radargram; Landslide Potential
 
https://gjeta.com/sites/default/files/fulltext_pdf/GJETA-2022-0193.pdf

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Adella Syavira, Y Yatini and Wrego Seno Giamboro. Identification of landslide potential based on Ground Penetrating Radar (GPR) data in Prambanan District, Sleman, Yogyakarta. Global Journal of Engineering and Technology Advances, 2022, 13(2), 071-078. Article DOI: https://doi.org/10.30574/gjeta.2022.13.2.0193

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