Towards a predictive capability for the resuspension of particles through extension and experimental validation of the Biasi implementation of the 'Rock'n'Roll' model

摘要

When considering the behaviour of particulate materials in the environment, it is important to consider resuspension, in which deposited particles leave the ground and become airborne. Despite significant study, models of resuspension typically include no treatment of transient phenomena in the period shortly after release. This paper describes the selection, initial implementation and validation of a resuspension model that is suitable for the stepwise introduction of real-world complexity (such as the effects of humidity, particle shape, roughness or composition), thus enabling it to be developed from simplistic, idealised scenarios to real particles and surfaces.