Investigation of PM2.5 Dispersion in Din Daeng District, Bangkok, Using Computational Fluid Dynamics Modeling

Authors

  • Amintra Tancharoen Chulalongkorn University
  • Pimporn Ponpesh Chulalongkorn University

DOI:

https://doi.org/10.4186/ej.2023.27.1.1

Keywords:

PM2.5, Din Daeng District, Bangkok, computational fluids dynamics

Abstract

Din Daeng is a small and densely populated district of Bangkok, with two major expressways and three main roads in the area. PM2.5 concentration in Din Daeng district often exceeds both the daily and annual standards of the National Ambient Air Quality Standards. Computational Fluid Dynamics (CFD) was applied to investigate the effects of the metropolitan characteristics and traffic volumes on the dispersion of PM2.5. The turbulent flow was analysed using the Standard k-ε model. There were two scenarios in this simulation study. One was to investigate the consequences of having the expressways. The other was to examine the influence of the city lockdown due to the COVID-19 pandemic. The presence of the expressways in Din Daeng district was demonstrated to increase PM2.5 concentrations by approximately 3.4 times compared to the case without the expressways. In addition, the city lockdown substantially reduced PM2.5 concentration by almost 49% compared to that during the normal period.

Downloads

Download data is not yet available.

Author Biographies

Amintra Tancharoen
Google Scholar

Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand

Pimporn Ponpesh
Google Scholar

Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand

Advanced Computational Fluid Dynamics Research Unit, Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, 10330, Thailand

Downloads

Published In
Vol 27 No 1, Jan 31, 2023
How to Cite
[1]
A. Tancharoen and P. Ponpesh, “Investigation of PM2.5 Dispersion in Din Daeng District, Bangkok, Using Computational Fluid Dynamics Modeling”, Eng. J., vol. 27, no. 1, pp. 1-9, Jan. 2023.
Cited By
Find in Google Scholar

Authors who publish with Engineering Journal agree to transfer all copyright rights in and to the above work to the Engineering Journal (EJ)'s Editorial Board so that EJ's Editorial Board shall have the right to publish the work for nonprofit use in any media or form. In return, authors retain: (1) all proprietary rights other than copyright; (2) re-use of all or part of the above paper in their other work; (3) right to reproduce or authorize others to reproduce the above paper for authors' personal use or for company use if the source and EJ's copyright notice is indicated, and if the reproduction is not made for the purpose of sale.