Abstract
In order to reveal the effects of urban morphology on air quality, and also to provide a reference for urban planning and control. The correlations, degrees and patterns of influence between 2D/3D urban morphological indicators and concentrations of air pollutants on different scales correspond to various population sizes in Changsha were quantified via statistical methods. Pearson correlation analysis found that 2D indicators, green coverage rate (GCR), road density (RD) and 3D indicators, building otherness (BO), and building function mixing degree (BFMi) showed strong correlation with air quality, with more significant correlation for the 3D indicators across most of the scales. In addition, the extent of the relevance also varied with scale. Furthermore, the contribution of those morphological indicators to changes in concentrations of pollutants were investigated by linear regression analysis. Results showed that BO and GCR had the greatest impact on air quality. BO could explain more than 40% of PM2.5, PM10, and NO2 concentrations changes over various scales. A 10% increase in GCR could reduce the PM2.5, PM10, and NO2 concentrations by 0.8, 1.7, and 2.6 μg/m3 respectively on 500-m scale. Besides, larger explanatory power of GCR, RD, and BO were mainly found on large scales. Finally, the results of multiple regression indicated that the combined effect of 3D indicators were stronger than 2D indicators for most air pollutants.
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Data Availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
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This work was funded by the National Natural Science Foundation of China (Grant number 51876087 and U1867221).
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Conceptualization: Yuyao Liu, Hanqing Wang; methodology: Hanqing Wang; formal analysis and investigation: Yuyao Liu; writing—original draft preparation: Yuyao Liu; writing—review and editing: Yuyao Liu, Hanqing Wang; funding acquisition: Hanqing Wang; resources: Hanqing Wang; supervision: Hanqing Wang.
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Liu, Y., Wang, H. The Effects of 2D and 3D Urban Morphology on Air Quality. Water Air Soil Pollut 234, 593 (2023). https://doi.org/10.1007/s11270-023-06592-2
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DOI: https://doi.org/10.1007/s11270-023-06592-2