A Study on the Slope Failure Monitoring of a Model Slope by the Application of a Displacement Sensor

Abstract

Many causalities and economic losses are caused by natural disasters, such as landslides and slope failures, every year. This suggests that there is a need for an early warning system to mitigate casualties and economic losses. Most of the studies on early warning systems have been carried out by predicting landslide-prone areas, but studies related to the prediction of landslide occurrence time points by the real-time monitoring of slope displacement are still insufficient. In this study, a displacement sensor and an Internet of Things (IoT) monitoring system were combined together, to monitor slope failure through cutting experiments of a real-scale model slope. Real-time monitoring of the slope movement was performed simultaneously via a low-cost, efficient, and easy-to-use IoT system. Based on the obtained displacement data, an inverse displacement analysis was performed. Finally, a slope instrumentation standard was proposed based on the slope of the inverse displacement for early evacuation before slope failure.

Analysis of Geotechnical-Assisted 2-D Electrical Resistivity Tomography Monitoring of Slope Instability in Residual Soil of Weathered Granitic Basement

“…The impact of damages caused to lives and infrastructure as well as mitigation and management of this natural hazard has been the subject of research for decades (Abidin et al, 2017;Bordoni et al, 2018;Pasierb et al, 2019). However, research work on the area of slope instability monitoring to predict future occurrence of landslide to prevent loss of lives and properties has not yet been fully demonstrated (Chae et al, 2017;Intrieri et al, 2019;Park et al, 2019).…”

Landslide early warning systems: a perspective from the internet of things

“…The system is not yet incorporated to generate early warnings. A study on the slope failure monitoring of a model slope by the application of a displacement sensor [23].…”

Landslide Displacement Prediction Based on Transfer Learning and Bi-GRU

“…Rainfall, earthquakes, human activities, vegetation cover, water level fluctuations, and erosion processes may cause slope failure [3]. The variation of the slope displacement can reflect the instability of landslides and has been considered a critical index for evaluating the stability and status of landslides [4]. The monitored series of slope displacements reflect the nonlinear dynamic evolution of the slope with the dual impact of internal and external environments.…”