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http://dx.doi.org/10.12652/Ksce.2021.41.6.0675

Estimation of Potential Risk and Numerical Simulations of Landslide Disaster based on UAV Photogrammetry  

Choi, Jae Hee (Kangwon National University)
Choi, Bong Jin (Kangwon National University)
Kim, Nam Gyun (National Forestry Cooperative Federation)
Lee, Chang Woo (National Institute of Forest Science)
Seo, Jun Pyo (National Institute of Forest Science)
Jun, Byong Hee (Kangwon National University)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.41, no.6, 2021 , pp. 675-686 More about this Journal
Abstract
This study investigated the ground displacement occurring in a slope below a waste-rock dumping site and estimated the likelihood of a disaster due to a landslide. To start with, photogrammetry was conducted by unmanned aerial vehicles (UAVs) to investigate the size and extent of the ground displacement. From April 2019 to July 2020, the average error rate of the five UAV surveys was 0.011-0.034 m, and an elevation change of 2.97 m occurred due to the movement of the soil layer. Only some areas of the slope showedelevation change, and this was believed to be due to thegroundwater generated during rainfall rather than the effect of the waste-rock load at the top. Sensitivity analysis for LS-RAPID simulation was performed, and the simulation results were compared and analyzed by applying a digital elevation model (DEM) and a digital surface model (DSM)as terrain data with 10 m, 5 m, and 4 m grids. When data with high spatial resolution were used, the extent of the sedimentation of landslide material tended to be excessively expanded in the DEM. In contrast, in the result of applying a DSM, which reflects the topography in detail, the diffusion range was not significantly affected even when the spatial resolution was changed, and the sedimentation behavior according to the river shape could be accurately expressed. As a result, it was concluded that applying a DSM rather than a DEM does not significantly expand the sedimentation range, and results that reflect the site situation well can be obtained.
Keywords
Landslides; UAV; LS-RAPID; Photogrammetry; Grid size;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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