3D aerodynamic trajectories of aerobiological particles from biological sources under local-scale meteorological conditions using CFD

Abstract

In urban environments, computational fluid dynamics (CFD) is used for visualizing health and comfort risks in outdoor spaces. Our main objective is to study a model based on 3D trajectories at a local scale, focusing on urban trees geolocated using KML maps and LiDAR data. The study tracks pollen particles (Pinaceae) from trees to pollen samplers, considering meteorological parameters such as wind speed and direction, as well as the influence of buildings. Four simulations were conducted using annual episode criteria, based on representative days from a five-day intradiurnal pollen pattern at both ground and terrace levels. One simulation represented the interannual average, while the others were based on annual averages. The BIM methodology was employed to analyze air quality and particle dispersion. The results from air trajectory simulations and the potential impact of vegetation on buildings (including façade and street canyon effects) could be extrapolated to inform new building designs.