Real-time monitoring and wireless data transmission to predict rain-induced landslides in critical slopes

Chaminda Gallage

This technical evening is a presentation of the study/paper that was awarded the Australian Geomechanics (AG) Best Paper Award in 2018

Real-time landslide monitoring is an effective technique to minimise landslide risks, especially in circumstances where the potential for structural countermeasures is limited. Rainfall infiltration is considered as one of the most significant factors triggering slope instability. Hence real-time monitoring of parameters: rainfall, volumetric water content and surface deformations/displacements in the soil, enable the early detection of landslides, thus reducing the adverse impacts of landslides.

This presentation details a study that involved low cost and simple to install miniature ground inclinometers equipped with MEMS (Micro Electro Mechanical Systems) tilt sensors, volumetric water content sensors, temperature sensors, a rain gauge and a wireless data transmission unit (DTU) for the prior identification of possible slope failure. The DTU receives data from sensor units via radio signal transmission at a higher data acquisition frequency and automatically transmits them via the mobile network to an internet server, and updates in an online web interface for the determination of slope instability. The monitoring programme in operation for more than two years in the Lake Baroon Catchment, Maleny plateau, Australia; and accurately captured both creep movement of the slope with wetting and drying cycles and mass movements triggered by rainfall. Analysis of surface deformation and rainfall data produced by the real-time monitoring system were validated using published study outcomes, and thus a combination of rainfall data, I-D threshold equations and ground tilting rate were identified as representing a more suitable measure to detect possible slope failure in advance.

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