4.7 Article

Deformation of landslide revealed by long-term surficial monitoring: A case study of slow movement of a dip slope in northern Taiwan

期刊

ENGINEERING GEOLOGY
卷 284, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.enggeo.2021.106020

关键词

Taiwan; Dip slope; Long-term monitoring; Time series of displacement; Listric sliding surface; Landslide deformation

资金

  1. Taiwan Ministry of Science and Technology [MOST-107-2116-M-001-002]
  2. Academia Sinica, Taiwan [AS-TP-108-M08]

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This study discovered multiple potential sliding blocks within the Huafan University campus and proposed a model of landslide movement with a listric sliding surface. Long-term surface monitoring provides a reliable and economical way to understand the mechanism of slope movement behavior.
A natural hillslope developing into a landslide shows ground cracks and topographic deformation. Geomorphological and subsurface investigations using appropriate methodology are essential to understand the failure mechanisms and stability of a hillslope. Huafan University campus located on a dip slope in northern Taiwan is facing a potential landslide hazard. Slope movement was detected through the development of ground cracks and persistent deformation of campus buildings and facilities. To monitor the sliding behavior of the dip slope, a nail network consisting of 144 ground monitoring points was set in 2001, and its coordinates were measured using conventional traverse surveying twice a year until 2017. The 17-year surficial surveying results were presented as a time series of displacements with constraints of geometry and distribution of ground cracks and underground observations. The long-term surveying results reveal multiple potential sliding blocks within the Huafan University campus. A model of landslide movement with a listric sliding surface is proposed. Additionally, from the velocity field derived from the monitoring points, the horizontal strain rates of the slope are estimated. The pattern of strain rates indicates that a plausible fault passing through the campus may have affected the movement of the dip slope. The long-term surface monitoring of a potential landslide slope in this study provides a reliable and economical way to understand the mechanism of movement behavior of the slope and evaluate slope stability.

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