ABSTRACT
The air quality of subway stations has attracted much more attention. The study of the spatial distribution characteristics of PM2.5 is important in both pollutant control and subway station design. In this paper, combining pedestrian flow analysis (PFA) and Computational Fluid Dynamics (CFD) simulation, a novel method for characterizing the spatial concentration distribution of PM2.5 in subway stations is proposed, in which PFA is used to analyze the spatial-temporal movement characteristics of pedestrians to consider the values of pedestrians as the one of main PM2.5 source, and the CFD model is used to analyze the PM2.5 concentration distribution under different airflow organizations to determine the spatial average concentrations. A double-layer underground station with a platform screen door system is studied as an example. When the outdoor PM2.5 concentration is 61 μg/m3, the simulated average concentration for the concourse floor and platform floor is 53.2 μg/m3 and 64.5 μg/m3, respectively.
