Simulation of Flood Wave Surface by Fast Fourier Transform Based on Perlin Noise

Abstract

In the field of water conservancy, due to the particularity of flood control scheduling in a short period of time, the 3D flood visualization system has very high requirements for the authenticity and real-time performance of water simulation. Aiming at the problem of low fidelity and rendering real-time performance, this paper proposed a new water modeling method combining Fast Fourier Transform (FFT) algorithm and Perlin noise algorithm. The method of the FFT algorithm based on Perlin noise perturbation is used to generate the height map of the water surface, so as to achieve the purpose of simulating the water surface fluctuation. Because of the low complexity of the FFT algorithm and less computing resources, this method makes full use of this feature to ensure the real-time performance of water simulation rendering in the 3D flood visualization system. At the same time, the method also uses the perturbation of Perlin noise to solve the defect of relatively stable water surface fluctuation formed by the FFT algorithm, which greatly improves the authenticity of the water model.