A Parallel Program for the Simulation of Flooding

Abstract

Flood simulation reduces computational time, which is essential for timely prevention. It needs numerical algorithms for reducing computation times without losing much accuracy in the results of flood simulation. This study presents a parallel algorithm by applying the automatic domain updating method for solving the shallow water equation with the well-balanced positivity-preserving first-order finite volume scheme. The developed parallel program was tested by simulating the water flow, compared with the results obtained in the literature, and applied to the Bang Lang dam break simulation to create information on flooding. The computational times obtained by the proposed parallel program were compared with those of the serial program, which used only the automatic domain updating method without the parallel technique. The results show that the parallel program outperforms the serial program by reducing the computational time.