Abstract
This paper presents the novel semi-Lagrangian computational model for estimating comprehensive tsunami run-up process on high resolution topographical data under Adaptive-Mesh-Refinement environment. The model was applied to the experimental and numerical flooding cases on Kitakami river for the 2011 Tohoku tsunami models. The computational and topographical resolutions significantly affect timings and locations occurring overflow over embankments and spreading velocity of the floods. The current model has advantages to precisely compute divergence of the bed load flux, resulting from local gradients of the bottom shear, leading to reasonable estimates of the local deposition and erosion.
