Simulation of pollutant diffusion in vegetation open channel based on LBM-CA method

This paper proposes a pollution diffusion model that accurately assesses changes in instantaneous river pollution in vegetation open channels. The model is established based on cellular automata and lattice Boltzmann method (LBM-CA). Flow influence coefficients are incorporated into cellular automata (CA) to represent the effect of vegetation on pollutant diffusion, while the lattice Boltzmann method (LBM) is utilized to simulate flow in vegetation open channels and obtain the flow influence coefficients for each cellular. The results show that the LBM-CA model has high accuracy and that pollutants tend to accumulate in vegetation areas, thereby extending the residence time of pollutants. The model incorporates pollution limits, allowing the prediction of basin pollution levels at specific times. The LBM-CA model provides a method for simulating pollutant diffusion in natural rivers.

Automated summary

This paper proposes a pollution diffusion model that accurately assesses changes in instantaneous river pollution in vegetation open channels. The model is established based on cellular automata and lattice Boltzmann method (LBM-CA). The results show that the LBM-CA model has high accuracy and that pollutants tend to accumulate in vegetation areas, thereby extending the residence time of pollutants. The model incorporates pollution limits, allowing the prediction of basin pollution levels at specific times. The LBM-CA model provides a method for simulating pollutant diffusion in natural rivers.