A numerical model for the efficient simulation of multiple landslide-induced tsunamis scenarios

Submarine landslides can pose serious tsunami hazard to coastal communities. However, performing a comprehensive landslide assessment for given area is in general difficult view of the large uncertainty associated with tsunamigenic source parameters, which are often only approximately defined, based on estimates geometry, slide material properties, and resulting kinematics. Therefore, Probabilistic Tsunami Hazard Analysis (PTHA) should be performed by considering number cases, computationally demanding. Here, we present an efficient model solving linear Mild-Slope Equation time-dependent term representing seafloor motion. This approach allows carrying out many computations, scenarios, Monte Carlo (MC) framework, at reduced computational cost compared other available methods, while still providing physically accurate simulations most generation propagation processes. To further speed-up MC simulations, database elementary solutions first developed, sources unit amplitude motion over small within possible footprint. For each source, elevations computed saved locations interest. In scenarios defined randomly selecting parameters their statistical distributions then simulated specific bottom using combination pre-computed sources. Hence, quickly interest superposition. The paper presents validation against two tests cases describes its novel methodology perform multiple scenarios.