EGU2020-6211
https://doi.org/10.5194/egusphere-egu2020-6211
EGU General Assembly 2020
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Scientific Investigation and Monitoring Result of Potential Large Scale Landslide

Kuo-Lung Wang1, Ching-Weei Lin2, Meei-Ling Lin3, Rou-Fei Chen4, Ya-Ju Hsu5, Chih-Yu Kuo5, Chien-Chih Chen6, Hsin-Hua Huang5, Kuo-Jen Chang7, Li-Wei Kuo6, Chuen-Fa Ni6, Bo-Hung Lin1, Yi-Hsuan Lee1, Hsiao-Yuan Yin8, and Mei-Chen Feng8
Kuo-Lung Wang et al.
  • 1National Chi Nan University, College of Science and Technology, Civil Engineering, Nantou County, Taiwan (klwang@ncnu.edu.tw)
  • 2National Cheng Kung University, Tainan, Taiwan
  • 3National Taiwan University, Taipei, Taiwan
  • 4Chinese Culture University, Taipei, Taiwan
  • 5Academia Sinica, Taipei, Taiwan
  • 6National Central University, Zhongli, Taiwan
  • 7National Taipei University of Technology, Taipei, Taiwan
  • 8Soil and Water Conservation Bureau, Nantou, Taiwan

It is always tricky to definite deep-seated or massive scale landslide investigation and monitoring. The scars could map from a high-resolution digital elevation model. However, the activity or sliding depth is merely difficult to define before installing a monitoring system. Lantai potential landslide area is selected for testing and demonstrating newly developed scientific investigation and monitoring techniques. Possible landslide scars have mapped from airborne lidar data, which provided a reference area for DInSAR analysis. More than ten years of DInSAR analysis shows an active/fast-moving area. The sliding plane and geological structure defined from customized earthquake stations and UAV LiDAR following with field verification. The background noise detection can define potential sliding planes from various precipitation events or earthquakes. GPS/leveling stations are installed to monitor ground deformation and verification from DInSAR results providing single point information to the whole area. The drilling holes’ depth is determined from earthquake stations analysis result, geological data, and sliding model from preliminary numerical analysis. Resistivity poles are installed at two holes from 100m beneath the ground surface with connected poles between these two holes to form a window shape monitoring system. The window shape Resistivity Image Profiling system can measure continuously providing not only geological structure variance and groundwater passing this window. New developed optical-fiber water pressure gauges are installed at different depths to verified groundwater pressure and water flow. The deformation system including extensometer, MEMS inclinometer, In-Plane Inclinometer, and Shape Acceleration Array are installed to provide direct displacements from the ground surface to underground. The sliding threshold is thus defined with various measurements from different monitoring methods and with different scales.

How to cite: Wang, K.-L., Lin, C.-W., Lin, M.-L., Chen, R.-F., Hsu, Y.-J., Kuo, C.-Y., Chen, C.-C., Huang, H.-H., Chang, K.-J., Kuo, L.-W., Ni, C.-F., Lin, B.-H., Lee, Y.-H., Yin, H.-Y., and Feng, M.-C.: Scientific Investigation and Monitoring Result of Potential Large Scale Landslide, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6211, https://doi.org/10.5194/egusphere-egu2020-6211, 2020.

Displays

Display file