A new and efficient particle resuspension prediction model based on quasi-static moment equilibrium

A team of researchers explored the resuspension mechanism of deposited particles under the action of airflow. Using advanced image detection technology and numerical simulation method, a particle resuspension model based on quasi-static moment equilibrium was developed. The model takes into account the influence of flow characteristics, particle morphology, and rough wall surface, which improves the accuracy of the prediction of resuspension phenomenon, and can be applied to the traceability analysis of pollutants.