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

Author

Listed:
  • Liang Zhao

    (School of Architecture and Urban Planning, Shandong Jianzhu University, Jinan 250100, China
    These authors contributed equally to this work.)

  • Yijie Zhang

    (School of Architecture and Urban Planning, Shandong Jianzhu University, Jinan 250100, China
    These authors contributed equally to this work.)

  • 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)

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.

Suggested Citation

  • Liang Zhao & Yijie Zhang & Yiting Li & Zichao Feng & Yuetao Wang, 2024. "Correlations of Spatial Form Characteristics on Wind–Thermal Environment in Hill-Neighboring Blocks," Sustainability, MDPI, vol. 16(5), pages 1-22, March.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:5:p:2203-:d:1352298
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    References listed on IDEAS

    as
    1. Chen Zuo & Chengcheng Liang & Jing Chen & Rui Xi & Junfei Zhang, 2023. "Machine Learning-Based Urban Renovation Design for Improving Wind Environment: A Case Study in Xi’an, China," Land, MDPI, vol. 12(4), pages 1-18, March.
    2. Chong Peng & Tingzhen Ming & Jianquan Cheng & Yongjia Wu & Zhong-Ren Peng, 2015. "Modeling Thermal Comfort and Optimizing Local Renewal Strategies—A Case Study of Dazhimen Neighborhood in Wuhan City," Sustainability, MDPI, vol. 7(3), pages 1-20, March.
    3. Alexandre Ornelas & António Cordeiro & José Miguel Lameiras, 2023. "Thermal Comfort Assessment in Urban Green Spaces: Contribution of Thermography to the Study of Thermal Variation between Tree Canopies and Air Temperature," Land, MDPI, vol. 12(8), pages 1-18, August.
    Full references (including those not matched with items on IDEAS)

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