A GPU-ACCELERATED NUMERICAL MODEL FOR COASTAL FLOODING

Coastal flooding has been one of the most destructive natural disasters with enormous social and economic impacts. Previous studies in the field of traditional compound coastal flooding have investigated the combined impacts of fluctuations in water levels induced by long waves (e.g., tides, storm surges) and riverine discharge (e.g., Nederhoff et al., 2021). However, interactions between long waves, relatively short-waves, direct precipitation, and rainfall-induced overland flows are commonly neglected (Santiago-Collazo et al., 2019). This study aims to develop a GPU-based numerical model to simulate coastal flooding induced by various processes such as waves, storm surges, tides, and rainfall-induced overland flows. In order to enhance the model accuracy and computational efficiency, we coupled two distinct shallow water models, nondispersive and dispersive shallow water models. Delft3D Flexible Mesh (FM), which solves nonlinear shallow water equations, was adopted for the nondispersive shallow water model owing to its robustness and accuracy. It has been widely used for simulating various long wave phenomena (e.g., Lee et al., 2019).