Computationally Efficient Tsunami Modelling on Graphics Processing Units (GPU)

Tsunamis generated by earthquakes commonly propagate as long waves in the deep ocean and develop into sharp-fronted surges moving rapidly towards the coast in shallow water, which may be effectively simulated by hydrodynamic models solving the nonlinear shallow water equations (SWEs). However, most of the existing tsunami models suffer from long simulation time for large-scale real-world applications. In this work, a graphics processing unit (GPU) accelerated finite volume shock-capturing hydrodynamic model is presented for computationally efficient tsunami simulations. The improved performance of the GPU-accelerated tsunami model is demonstrated through a laboratory benchmark test and a field-scale simulation.

地震引发的海啸通常以长波形式在深海中传播，并在浅水区域迅速发展成前端尖锐的涌浪，此类现象可通过求解非线性浅水方程（SWEs）的流体动力学模型进行有效模拟。然而，现有的多数海啸模型在大型实际应用中均存在模拟时间长的问题。本研究提出了一种基于图形处理单元（GPU）加速的有限体积激波捕捉流体动力学模型，以实现高效的海啸模拟。通过实验室基准测试和现场规模模拟，证明了GPU加速海啸模型性能的提升。