Micromixing effects in air pollution modelling

Predicting the dispersion of reacting pollutants close to their source is a topic of importance in Air Quality Modelling.The conventional method of neglecting species concentration fluctuations is not valid for such small-scale problems.Various methods that incorporate segregation are reviewed here and their use for typical atmospheric dispersion problems is illustrated through numerical simulations of a simplified problem.By comparison with experimental data, it is found that micromixing can affect the evolution of the mean reaction rate and that the models presented here are more accurate than if segregation were not included.Further work should focus on the interfacing of these models with practical Air Quality calculations