Exploring Computational Fluid Dynamics Models for estimating pedestrian exposure to traffic related air pollution: A bibliometric review and critical analysis (#1600)

Authors

Rodríguez Camarena, Cristian Javier

González Olivardía, Franchesca Giselle

Abstract

The goal of this review is to analyze the scientific work that has been carried out from 2018 to 2023 in computational modeling of exposure to air pollutants from vehicular traffic. Scopus was the database used for this research, finding a total of 555 articles to select 58 with exclusion criteria for those articles that did not focus on exposure. The bibliometric analysis concluded that this is becoming a hot topic in the scientific research community as is increasing year by year published works, and that developed countries are leading the way in this research topic. The focus of this paper is on Computational Fluid Dynamics (CFD), especially the boundary conditions, the turbulence models and its respective validation method which will indicate the physical relevance of the computational model. Results clearly indicate the that there is several physical factors, such as green infrastructure, wind conditions and traffic conditions that modify the exposure assessment, but also is evident the importance of the a social component that will also intervene within the evaluation of the exposure since both the activities and the behavior of the group of people exposed will affect the type and amount of exposure, therefore is highly recommended to integrate human exposure models into the CFD models, to evaluate how pedestrians walking near avenues are exposed to contaminants.