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This paper presents a framework for 3D probabilistic landslide run-out hazard evaluation to enhance quantitative risk assessment. It utilizes a dynamic numerical model and a Bayesian back analysis method to calibrate uncertainties in input parameters based on past landslide events, allowing for the estimation of exceedance probabilities and the creation of hazard maps. The framework is tested using a case study of landslide CJ#8 in Gansu, China, demonstrating its effectiveness in improving landslide risk as

Author

Anton Manoj

Language

EN