基于大规模粒子系统的太湖蓝藻集聚可视化研究

Visualization of cyanobacterial agglomeration in Taihu Lake based on large-scale particle system

本文将粒子系统与内陆湖泊中的蓝藻集聚效应相结合,提出大规模粒子系统与水动力水质模型时空耦合方法,通过三维网格数值模拟方式创建粒子系统,利用水动力模型形成的流场数据(包括位置、流速、流向等),以粒子模拟蓝藻并将其初始化到网格体系中,通过流场驱动粒子运动,实现水动力水质模型在三维环境中的实时计算和动态模拟推演。通过三维粒子系统模拟湖泊流场在地理环境下演变过程,实现蓝藻在内陆湖泊集聚效应的连续、动态可视化,为研究太湖蓝藻环境污染提供技术支持。

This paper combines particle systems with cyanobacterial aggregation effects in inland lakes,and proposes a spatio-temporal coupling method of large-scale particle systems and hydrodynamic water quality models.A particle system is created through three-dimensional grid numerical simulation to simulate cyanobacteria by initializing particles into the grid system based on hydrodynamic model data(including position,velocity,direction,etc.),and driving particle motion with the flow field to realize real-time calculation and dynamic simulation of the hydrodynamic water quality model in a three-dimensional environment.Through three-dimensional particle system simulation of the evolution process of lake flow fields under geographical environment,the continuous and dynamic visualization of cyanobacterial aggregation effects in inland lakes is realized,providing technical support for studying Taihu cyanobacterial environmental pollution.