Correlations of Spatial Form Characteristics on Wind–Thermal Environment in Hill-Neighboring Blocks

Liang Zhao, Yijie Zhang, Yiting Li, Zichao Feng and Yuetao Wang ()
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Liang Zhao: School of Architecture and Urban Planning, Shandong Jianzhu University, Jinan 250100, China
Yijie Zhang: School of Architecture and Urban Planning, Shandong Jianzhu University, Jinan 250100, China
Yiting Li: School of Architecture and Urban Planning, Shandong Jianzhu University, Jinan 250100, China
Zichao Feng: School of Architecture and Urban Planning, Shandong Jianzhu University, Jinan 250100, China
Yuetao Wang: School of Architecture and Urban Planning, Shandong Jianzhu University, Jinan 250100, China

Sustainability, 2024, vol. 16, issue 5, 1-22

Abstract: The spatial forms of hill-neighboring blocks and the wind–thermal environment are crucial components of urban planning and urban ecology. Understanding their correlation is significant for creating a healthy community and enhancing the sustainable level of buildings and their systems. Therefore, Jinan, a multi-mountainous city in China, is taken as the research area, and the ideal model of hill-neighboring blocks is built based on categories of all these block types by aerial imagery and a semantic segmentation algorithm. Then, we use the CFD simulation software PHOENICS and the evaluation system weighted by random forest to simulate and assess the wind–thermal environment. Ultimately, the correlations and specific mathematical equations between the spatial form indicators and wind–thermal environment are obtained by a parametric method. The results demonstrate that the interface density on the near-hill side and hill surface roughness are the most related indicators to the overall wind–thermal environment. The variation in block spatial form has the most distinct influence on the proportion of breeze area and PMV. The relationship determined herein can provide strategic recommendations for decision makers for optimizing the outdoor air flow of blocks and enhancing the thermal comfort of pedestrians, which helps to create a healthy and comfortable outdoor environment in multi-mountainous cities.

Keywords: CFD simulation; hill-neighboring block; wind–thermal environment; spatial form indicator; deep learning; random forest (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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