Evaluation of a Tilt-Based Monitoring System for Rainfall-Induced Landslides: Development and Physical Modelling

• Published in: Water (Basel) Vol. 15; no. 10; p. 1862
• Main Authors: Paswan, Abhishek Prakash, Shrivastava, Amit Kumar
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2023
• Subjects: Accelerometers; Analysis; Animal human relations; Data recording; debris failure; Failure mechanisms; Landslides; Landslides & mudslides; Mathematical models; MEMS sensor; Methods; Microelectromechanical systems; Modelling; Moisture content; Monitoring; Monitoring systems; Performance evaluation; physical modelling; Rain; Rain and rainfall; Rainfall; rainfall-induced landslides; Rainy season; Sensors; slope monitoring system; tilt monitoring; Water content; India; Himalaya Mountains
• ISSN: 2073-4441; 2073-4441
• DOI: 10.3390/w15101862

Landslides in northern India are a frequently occurring risk during the rainy season resulting in human, animal, and property losses as well as obstructing transportation facilities. Usually, numerical and analytical approaches are applied to predicting and monitoring landslides, but the unpredictable nature of rainfall-induced landslides limits these methods. Sensor-based monitoring is an accurate and reliable method, and it also collects accurate and site-specific required data for further investigation with a numerical and analytical approach. This study developed a low-cost tilt-based rainfall-induced landslide monitoring system using the economical and precise MEMS sensor to record displacement and volumetric water content. A self-developed direct shear-based testing setup was used to check the system’s operational performance. A physical slope model was also prepared to test the monitoring system in real scenarios. A debris failure occurred at Kotrupi village in the Mandi district of Himachal Pradesh, India, which was chosen for the modelling to investigate the failure mechanism. A rainfall generator was developed to simulate the rainfall, equipped with a flow sensor for better simulation and data recording. The tilt angle records the deviation in terms of angle with a least count of 0.01 degrees, and the moisture content was recorded in terms of percentage with a least count of 1. The results show that the developed system is working properly and is very effective in monitoring the rainfall-induced landslide as it monitors the gradual and sudden movement effectively. This study explains the mechanism behind the landslide, and it can be helpful in monitoring the slope to enable the implementation of preventative actions that will mitigate its impact.