Simulation of Cyanobacteria Behavior in Water Bodies With Cell-Devs and Lattice-Boltzmann Methods

Cyanobacteria are essential to aquatic ecosystems, but their excessive growth can result in harmful blooms, causing significant environmental and health risks. This paper presents a comprehensive modeling approach using Cell-DEVS to simulate the behavior of cyanobacteria in aquatic environments. The model integrates various factors influencing cyanobacteria dynamics, including vertical migration, growth, and decay, as well as environmental conditions such as solar irradiance and nutrient availability. Using a Lattice-Boltzmann method for fluid simulation, the model represents the transport mechanisms within the water column. The simulation results indicate the model’s potential to predict cyanobacteria distribution evolution and behavior under different environmental scenarios. This work contributes to the development of early warning systems for harmful cyanobacteria blooms, presenting a potentially valuable tool for water monitoring and management. It also highlights the importance of integrating multiple environmental factors in modeling efforts to enhance the predictive accuracy of cyanobacteria dynamics.