Optimization of Particle Distribution Region Model in Rainfall Simulation

Abstract

Particle system is an effective method to realize large-scale scene rainfall simulation. However, unlimited expansion of rain particle area will inevitably lead to excessive memory consumption. In order to control the particle distribution area effectively, this paper introduces the concept of depth of field to restrict particle distribution, and to adjust the depth of particle distribution according to the change of environmental brightness. Three improved models are proposed on the basis of the particle distribution area model. The optimal model is obtained by experimental simulation and analysis. The experimental results show that the improved model can effectively reduce the distribution area of redundant particles while ensuring the rain effect, thus reducing the number of rain particles and improving the frame rate and the realism of rainfall scenarios.