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*.

Highlights

  • Publisher’s Note: MDPI stays neutralIn 2018, around 55% of the world’s population lived in urban areas [1]

  • computational fluid dynamics (CFD) results were compared with wind tunnel data in Figures 4 and 5

  • The dual effects of surface road pollution sources and elevated road pollution sources on the air quality of the urban area were considered at the same time

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Summary

Introduction

In 2018, around 55% of the world’s population lived in urban areas [1]. By 2030, this percentage will rise to 60%, and an estimated one–third of the global population will be living in cities with at least half a million inhabitants [2]. The correlation between the morphological characteristics of different residential areas This has been investigated through field measurements, wind tunnel experiments, and CFD simulations. Hang et al [43] investigated the effect of building height variability on pollutant dispersion and pedestrian ventilation in idealized high–rise urban areas. Their results showed that larger height variations produce better pedestrian ventilation and lowering aspect ratios or increasing street lengths may strengthen the contribution of turbulent diffusions in removing pollutants for arrays with uniform building heights. In this study, a real block model and statistical data from nearby weather stations were utilized to perform numerical simulation calculations Both ground and elevated pollution sources were considered. A total of 29 urban morphological parameters of ventilation efficiency indices were analyzed

Urban Model
Numerical Model
Meshing and Boundary Conditions
Ventilation Efficiency Indices
Urban Morphological Parameters
CFD Model Validation
Distributions of Mean Flow Variables
The visualizations that 2 was sm of flow the at buildings
Vertical Distribution of Air Pollutant Concentration around Typical Buildings
Effect of Urban
Conclusions
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