Geomechanics and Engineering

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Application of UAV images for rainfall-induced slope stability analysis in urban areas

  • Dohyun Kim (Department of Civil and Environmental Engineering, Hanbat National University) ;
  • Junyoung Ko (Department of Civil Engineering, Chungnam National University) ;
  • Jaehong Kim (Department of Civil and Environmental Engineering, Dongshin University)
  • Received : 2022.04.04
  • Accepted : 2022.08.12
  • Published : 2023.04.25
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Abstract

This study evaluated slope stability through a case study to determine the disaster risks associated with increased deforestation in structures, including schools and apartments, located in urban areas adjacent to slopes. The slope behind the ○○ High School in Gwangju, Korea, collapsed owing to heavy rain in August 2018. Historically, rainwater drained well around the slope during the rainy season. However, during the collapse, a large amount of seepage water flowed out of the slope surface and a shallow failure occurred along the saturated soil layer. To analyze the cause of the collapse, the images of the upper area of the slope, which could not be directly identified, were captured using unmanned aerial vehicles (UAVs). A digital elevation model of the slope was constructed through image analysis, making it possible to calculate the rainfall flow direction and the area, width, and length of logging areas. The change in the instability of the slope over time owing to rainfall lasting ten days before the collapse was analyzed through numerical analysis. Imaging techniques based on the UAV images were found to be effective in analyzing ground disaster risk maps in urban areas. Furthermore, the analysis was found to predict the failure before its actual occurrence.

Keywords

Acknowledgement

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (Ministry of Education) (No. 2020R1I1A307511011).

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