Local scale Landslide Monitoring in Tbilisi city (Georgia)

Landslides pose a significant threat to human lives and infrastructure in various regions worldwide. To mitigate the risks associated with these geological hazards, the deployment of monitoring systems is crucial. This study presents a comparative analysis of monitoring systems, specifically tilt-meters, piezometric sensors, and GPS, UAV employed in landslide-prone area. The objective is to assess their effectiveness in detecting and monitoring landslide event in Libani str. (Tbilisi city, Georgia).

The deployment of monitoring systems, such as tilt-meters, piezometric sensors, and GPS, UAV plays a pivotal role in landslide risk management. Tilt-meters provide crucial information about slope stability by measuring changes in ground tilt, while piezometric sensors offer insights into groundwater levels and pore pressure variations. GPS and UAV technology enables precise monitoring of ground displacements and deformation patterns. However, the comparative effectiveness of these systems in diverse geological settings remains a subject of exploration.

Tbilisi city is characterized by a diverse range of geological conditions, including variations in soil types, morphology, tectonic, hydrogeological and climate characteristics. Real-time data collected from the monitoring system will be analyzed to detect precursory signs of landslides and assess the performance of the systems in capturing critical events. Landslide in Libani str. is situated in the capital city, a public school and a multi-storey building are under the landslide risk zone.

The findings of this study are anticipated to provide valuable insights into the strengths and limitations of each monitoring system in landslide detection. Furthermore, the research underscores the importance of integrating multiple monitoring systems to enhance the accuracy and reliability of landslide monitoring networks. The outcomes will guide decision-makers, geotechnical engineers, and researchers in selecting appropriate monitoring systems for effective landslide risk management strategies.