LAPSE:2023.15687
Published Article

LAPSE:2023.15687
Numerical Simulations of Air Flow and Traffic−Related Air Pollution Distribution in a Real Urban Area
March 2, 2023
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*.
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*.
Record ID
Keywords
CFD simulation, pollutant dispersion, traffic pollutant, urban parameters, urban ventilation
Subject
Suggested Citation
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. (2023). LAPSE:2023.15687
Author Affiliations
Zhou M: College of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
Hu T: College of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China [ORCID]
Jiang G: Department of Civil and Environmental Engineering, Shantou University, Shantou 515063, China [ORCID]
Zhang W: College of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
Wang D: College of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
Rao P: College of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
Hu T: College of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China [ORCID]
Jiang G: Department of Civil and Environmental Engineering, Shantou University, Shantou 515063, China [ORCID]
Zhang W: College of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
Wang D: College of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
Rao P: College of Chemistry and Chemical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
Journal Name
Energies
Volume
15
Issue
3
First Page
840
Year
2022
Publication Date
2022-01-24
ISSN
1996-1073
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Original Submission
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PII: en15030840, Publication Type: Journal Article
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LAPSE:2023.15687
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https://doi.org/10.3390/en15030840
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