Subtheme 3.9: Large-Scale Landslides: Advanced Investigation, Monitoring, and Modelling
Session Coordinators: Christian Zangerl, Ranjan Kumar Dahal, and others
Session description and Session aim:
Large-scale landslides in steep mountainous regions pose significant risks, yet their scale and complexity makes them difficult to investigate, characterize, monitor, and model. These types of landslides can severely impact critical infrastructure and settlements. Developing reliable predictive models and hazard assessments requires comprehensive field surveys, advanced monitoring techniques, and robust numerical modelling analyses.
Large-scale landslides occur across diverse topographical and geological conditions, evolving as slow or rapid events influenced by multiple forcing factors. However, key aspects remain poorly understood, including the role of geological predisposition, their regional and temporal distribution, relationships with triggering factors, and responses to climate change. How will these landslides evolve under future climatic conditions? What risks do they pose to infrastructure and communities? How can predictive models be refined for greater accuracy?
The session invites contributions on case studies, innovative investigation and monitoring techniques, advanced numerical modelling approaches, and comprehensive data analysis. We seek insights into the processes of initiation, failure, and triggering mechanisms, as well as the impacts of large-scale landslides on critical infrastructure and settlements.
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