Numerical multiscale modelling and monitoring of landslide hazard in Georgia

Abstract ID: 3.8195 | Accepted as Talk | Talk | TBA | TBA

Aida Mehrpajouh (1)
Jens Engel (2)
(1) Hochschule für Technik und Wirtschaft Dresden – University of Applied Sciences, Hochschulstr.18 0402, 01069 Dresden, DE
(2) HTW dresden, Friedrich-List-Platz 1 01069 Dresden Germany

Categories: Fieldwork, Hazards, Monitoring, Multi-scale Modeling, Remote Sensing
Keywords: Landslides, FSLAM RAMMS, sensors

Categories: Fieldwork, Hazards, Monitoring, Multi-scale Modeling, Remote Sensing
Keywords: Landslides, FSLAM RAMMS, sensors

The content was (partly) adapted by AI
Content (partly) adapted by AI

For landslides over Georgia Upper Svaneti, this study incorporates multi-scale numerical modeling, hazard assessment, and monitoring. After using FSLAM to identify high-risk regions, we used pore water pressure and surface deformation sensors in the field. RAMMS simulations are used to study semi-empirical models in various scenarios. The results provide a robust basis for hazard planning in areas susceptible to landslides by emphasizing the importance of slope geometry and pore pressure. The findings underline the importance scenario-based modeling and continuous monitoring to risk assessment and mitigation methods. In mountainous regions susceptible to landslides and debris flows, this method can help early warning systems for long-term hazard management.

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