Most of the Landslides Early Warning Systems (LEWS) currently in operation are based on monitoring rainfall data only. This feature limits their performance due to false alarms generated by rainfall thresholds inevitably conservative. The accuracy of LEWS may be significantly enhanced by monitoring soil-based variables associated with the stress-strain response of the ground. The paper presents a novel Tensio-inclinometer specifically developed to measure suction changes and suction-induced deformation in shallow covers. The device is made of a MEMS accelerometer mounted on the shaft of a commercial tensiometer. On-board electronics and battery-based power supply make the device fully wireless. The Tensio-inclinometer is therefore easy to deploy and install allowing the design of a flexible and adaptive monitoring network to underpin early-warning systems. The device was tested in a slope physical model where instability of a shallow silt layer was triggered by artificial rainfall. It is shown that pre-failure deformation, as detected by the tilting of the tensiometer shaft, is an adequate landslide precursor and that combined suction and rotation measurements can provide soil-based thresholds for early warning systems.
Tensio-Inclinometer: A Deployable Wireless Device to Underpin Early Warning Systems for Rainfall-Induced Shallow Landslides / Coppola, L.; Reder, A.; Tarantino, A.; Pagano, L.. - (2023), pp. 55-62. (Intervento presentato al convegno 8th Italian Conference of Researchers in Geotechnical Engineering, CNRIG 2023 tenutosi a Palermo nel 5-7 luglio 2023) [10.1007/978-3-031-34761-0_7].
Tensio-Inclinometer: A Deployable Wireless Device to Underpin Early Warning Systems for Rainfall-Induced Shallow Landslides
Coppola L.;Pagano L.
2023
Abstract
Most of the Landslides Early Warning Systems (LEWS) currently in operation are based on monitoring rainfall data only. This feature limits their performance due to false alarms generated by rainfall thresholds inevitably conservative. The accuracy of LEWS may be significantly enhanced by monitoring soil-based variables associated with the stress-strain response of the ground. The paper presents a novel Tensio-inclinometer specifically developed to measure suction changes and suction-induced deformation in shallow covers. The device is made of a MEMS accelerometer mounted on the shaft of a commercial tensiometer. On-board electronics and battery-based power supply make the device fully wireless. The Tensio-inclinometer is therefore easy to deploy and install allowing the design of a flexible and adaptive monitoring network to underpin early-warning systems. The device was tested in a slope physical model where instability of a shallow silt layer was triggered by artificial rainfall. It is shown that pre-failure deformation, as detected by the tilting of the tensiometer shaft, is an adequate landslide precursor and that combined suction and rotation measurements can provide soil-based thresholds for early warning systems.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
