Next Article in Journal
Effect of Temperature on Densification Pressure and the Unit Density in Production of Corn Straw Pellet with a Post-Heating Method
Previous Article in Journal
Demonstration of 5G Solutions for Smart Energy Grids of the Future: A Perspective of the Smart5Grid Project
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Numerical Simulations of Air Flow and Traffic–Related Air Pollution Distribution in a Real Urban Area

1
College of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
2
Department of Civil and Environmental Engineering, Shantou University, Shantou 515063, China
*
Author to whom correspondence should be addressed.
Energies 2022, 15(3), 840; https://doi.org/10.3390/en15030840
Submission received: 22 December 2021 / Revised: 17 January 2022 / Accepted: 20 January 2022 / Published: 24 January 2022

Abstract

With increasing urbanization, urban air pollutants are becoming more and more relevant to human health. Here, combined with meteorological observation data, a numerical simulation of typical urban blocks in Shanghai was carried out to understand the spread of air pollutants caused by road traffic sources (ground–level and viaduct–level). Firstly, we analyzed the wind environment characteristics. Then, we quantitatively analyzed the pollutant distribution profiles and the contributions of two pollutant sources (PSV). Finally, we analyzed seven urban morphological parameters based on ventilation efficiency indices. Results revealed the following. (1) Ventilation patterns within the architectural complex are determined by local geometry; (2) Pollutants released at ground level were dominant when the Z–plane < 8 m high, and pollutants released from the viaduct source were 0.8–6.1% higher when the Z–plane ≥ 8 m high; (3) From ground level to a height of 60 m, the spatially–averaged normalized concentration (C*) tended to decrease gradually with distance from the source. C* increased irregularly with an increase in distance between 60 m and 86 m. Above 86 m, C* tended to increase linearly; (4) Vertical profiles of C* around buildings were building–specific, and their rate of change was inconsistent with height increases. In general, the correlations between C* and VRw, and between C* and KEturb were larger on the windward side of PSV upstream buildings than on the leeward side. Buildings downstream of the PSV showed the opposite situation; (5) At pedestrian level, the seven urban morphological parameters had no significant correlation with VRw, Cir*, and Czs*.
Keywords: CFD simulation; pollutant dispersion; urban ventilation; urban parameters; traffic pollutant CFD simulation; pollutant dispersion; urban ventilation; urban parameters; traffic pollutant

Share and Cite

MDPI and ACS Style

Zhou, M.; Hu, T.; Jiang, G.; Zhang, W.; Wang, D.; Rao, P. Numerical Simulations of Air Flow and Traffic–Related Air Pollution Distribution in a Real Urban Area. Energies 2022, 15, 840. https://doi.org/10.3390/en15030840

AMA Style

Zhou M, Hu T, Jiang G, Zhang W, Wang D, Rao P. Numerical Simulations of Air Flow and Traffic–Related Air Pollution Distribution in a Real Urban Area. Energies. 2022; 15(3):840. https://doi.org/10.3390/en15030840

Chicago/Turabian Style

Zhou, Mengge, Tingting Hu, Guoyi Jiang, Wenqi Zhang, Dan Wang, and Pinhua Rao. 2022. "Numerical Simulations of Air Flow and Traffic–Related Air Pollution Distribution in a Real Urban Area" Energies 15, no. 3: 840. https://doi.org/10.3390/en15030840

APA Style

Zhou, M., Hu, T., Jiang, G., Zhang, W., Wang, D., & Rao, P. (2022). Numerical Simulations of Air Flow and Traffic–Related Air Pollution Distribution in a Real Urban Area. Energies, 15(3), 840. https://doi.org/10.3390/en15030840

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop