Morphological spatial clustering of high-density central areas and their coupling relationship with thermal environment——a case study of the wuyi road hatchback in changsha

Intense urban development and high urban density cause the thermal environment in urban centers to deteriorate continuously, affecting the quality of the living environment. In this study, 707.49 hectares of land in the central area of Changsha were divided into 121 plots. 11 microclimate-related mo...

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Bibliographic Details
Published in:	International journal of biometeorology Vol. 68; no. 8; pp. 1483 - 1496
Main Authors:	Xijing, Su, Luyun, Liu, Pei, Yi, Cunyou, Chen, Minhuan, Zhang
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01-08-2024 Springer Nature B.V
Subjects:	Air temperature Animal Physiology Biological and Medical Physics Biophysics China Cities Cluster Analysis Clustering Cooling effects Density Earth and Environmental Science Environment Environmental Health Green buildings Green infrastructure High density Indicators Meteorology Microclimate Morphology Plant Physiology Residential density Review Paper Temperature Thermal environments Urban areas Urban development Urban environments Urbanization China Morphological spatial pattern ENVI-met simulation Thermal environment K-means clustering High-density central district
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Summary:	Intense urban development and high urban density cause the thermal environment in urban centers to deteriorate continuously, affecting the quality of the living environment. In this study, 707.49 hectares of land in the central area of Changsha were divided into 121 plots. 11 microclimate-related morphological indicators were comprehensively selected, and the K-means method was used for cluster analysis. Then, the relationship between morphological clusters and the thermal environment was explored by simulating the thermal environment of the study area with ENVI-met. First, five spatial types were found to characterize the area: high-level with high floor area ratio, low density, and low greenery; middle-level with high floor area ratio high density; medium-capacity with high density and small volume; low-level with low density and high greenery; and low floor area ratio, low density, and high greenery. Second, the building windward surface density, sky openness, building density, floor area ratio and green space rate affect the thermal environment. Third, Cluster3 had the highest average air temperature (Ta), followed by Cluster5, furthermore Clusters4, 1, and2 had relatively low Ta. The spatial vitality index and green space rate in Cluster1; the area-weighted building shape index, average building volume and sky openness in Cluster2; green space rate in Cluster3; indicators such as the floor area ratio and green space rate in Cluster4; indicators such as the impervious surface rate and green space rate in Cluster5 had greater influences on Ta. Fourthly, simply increasing the area of green space cannot maximize the cooling effect of green spaces. Instead, constructing an equalized greening network can better regulate the thermal environment. Fifthly, the results provide a scientific basis for the design and the regulation of urban centers.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 ObjectType-Review-3 content type line 23
ISSN:	0020-7128 1432-1254 1432-1254
DOI:	10.1007/s00484-024-02687-5