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Updated: Jul 30, 2025

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

Shiyu Wang1, Jialin Zhuo2, Fengcong Jia1

  • 1College of Water Resources & Civil Engineering, China Agricultural University, Beijing, 100083, China.

Environmental Science and Pollution Research International
|May 10, 2023
PubMed
Summary

This study introduces a novel pollution diffusion model for vegetation-rich rivers. The developed model accurately predicts pollutant behavior and accumulation in riverine vegetation zones.

Keywords:
Cellular automataFlow simulationFlow-vegetation interactionsLattice Boltzmann methodPollutant diffusionVegetation channel

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Area of Science:

  • Environmental Science
  • Fluid Dynamics
  • Computational Modeling

Background:

  • River pollution assessment is crucial for ecological health.
  • Vegetation significantly impacts pollutant transport in open channels.
  • Existing models often lack accuracy in vegetated environments.

Purpose of the Study:

  • To develop and validate a novel model for assessing instantaneous river pollution in vegetated open channels.
  • To investigate the influence of vegetation on pollutant diffusion dynamics.
  • To predict basin pollution levels over time.

Main Methods:

  • A hybrid Cellular Automata (CA) and Lattice Boltzmann Method (LBM) approach (LBM-CA) was employed.
  • Flow influence coefficients were integrated into CA to simulate vegetation effects.
  • LBM was used to model flow and derive coefficients for each cell.

Main Results:

  • The LBM-CA model demonstrated high accuracy in simulating pollutant diffusion.
  • Pollutants were observed to accumulate in vegetated areas, increasing residence time.
  • The model successfully predicted basin pollution levels under defined limits.

Conclusions:

  • The LBM-CA model offers a robust method for simulating pollutant diffusion in natural rivers.
  • Vegetation plays a key role in pollutant retention and transport.
  • This model enhances our ability to manage and predict river water quality.