Air Pollution Dispersion Modelling in Urban Environment Using CFD: A Systematic Review

• Published in: Atmosphere Vol. 13; no. 10; p. 1640
• Main Authors: Pantusheva, Mariya, Mitkov, Radostin, Hristov, Petar O., Petrova-Antonova, Dessislava
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2022
• Subjects: Air flow; Air pollution; Air quality; Atmospheric boundary layer; Best practice; Boundary conditions; Buildings; Built environment; CFD; Climate change; Computational fluid dynamics; Computer applications; Dispersion; Environment models; Environmental aspects; Environmental conditions; Fluid dynamics; Guidelines; Hydrodynamics; Mathematical models; Metropolitan areas; Modelling; Outdoor air quality; pollutant dispersion; Pollutants; Pollution dispersion; Scale models; Smart cities; Statistical methods; Sustainable development; Systematic review; Trends; Turbulence models; Urban air; urban air pollution; Urban air quality; Urban areas; Urban environments; Verification; verification and validation; Bulgaria; Europe
• DOI: 10.3390/atmos13101640
• ISSN: 2073-4433

Air pollution is a global problem, which needs to be understood and controlled to ensure a healthy environment and inform sustainable development. Urban areas have been established as one of the main contributors to air pollution, and, as such, urban air quality is the subject of an increasing volume of research. One of the principal means of studying air pollution dispersion is to use computational fluid dynamics (CFD) models. Subject to careful verification and validation, these models allow for analysts to predict air flow and pollution concentration for various urban morphologies under different environmental conditions. This article presents a detailed review of the use of CFD to model air pollution dispersion in an urban environment over the last decade. The review extracts and summarises information from nearly 90 pieces of published research, categorising it according to over 190 modelling features, which are thematically systemised into 7 groups. The findings from across the field are critically compared to available urban air pollution modelling guidelines and standards. Among the various quantitative trends and statistics from the review, two key findings stand out. The first is that, despite the existence of best practice guidelines for pollution dispersion modelling, anywhere between 12% and 34% of the papers do not specify one or more aspects of the utilised models, which are required to reproduce the study. The second is that none of the articles perform verification and validation according to accepted standards. The results of this review can, therefore, be used by practitioners in the field of pollution dispersion modelling to understand the general trends in current research and to identify open problems to be addressed in the future.