Investigation of Geological Structures Using UAV Lidar and Its Effects on the Failure Mechanism of Deep-Seated Landslide in Lantai Area, Taiwan

The deep-seated landslide in the Lantai area, Taiwan, has a long history of landslide activity and often damages the sole access road to the Tai-Ping Mountain National Forest Recreation Area. This study adopted the high-resolution digital terrain model (DTMH) derived from UAV mounted LiDAR point clo...

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Bibliographic Details
Published in:Applied sciences 2021-11, Vol.11 (21), p.10052
Main Authors: Lin, Meei-Ling, Chen, Yen-Cheng, Tseng, Yao-Hsien, Chang, Kuo-Jen, Wang, Kuo-Lung
Format: Article
Language:English
Subjects:
Access roads
Accuracy
Aviation
Boreholes
deep-seated landslide
Failure mechanisms
Field investigations
Finite difference method
Geological mapping
geological structure
Geological structures
Geology
Geomorphology
Hazard mitigation
High resolution
high-resolution DTM
Investigations
Landslides
Landslides & mudslides
Lantai area
Lasers
LiDAR
Mapping
Mitigation
Mountains
Numerical analysis
numerical model
Parks & recreation areas
Recreation areas
Remote sensing
Roads & highways
Shear zone
Terrain models
Topography
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Summary:The deep-seated landslide in the Lantai area, Taiwan, has a long history of landslide activity and often damages the sole access road to the Tai-Ping Mountain National Forest Recreation Area. This study adopted the high-resolution digital terrain model (DTMH) derived from UAV mounted LiDAR point cloud data for mapping geological structures and verified through field investigation. A slope model was proposed with mapped geological structures and shear zone, and numerical analysis was conducted using finite difference analysis. The failure mechanism was found to be significantly affected by the shear zone bounded by geological structures, which would not have been uncovered without the high-resolution DTM (DTMH). The resulting landslide behavior consisted well with mapped scarp, borehole data, and conformed with the event records. These results provided vital information supporting hazard mitigation strategy.
ISSN:2076-3417
2076-3417
DOI:10.3390/app112110052