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A Multivariate Model and Correlation Study on the Impact of Typical Residential Spatial Forms in the Middle Reaches of the Hanjiang River on the Thermal Environment and Thermal Comfort

Author

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  • Yue Liu

    (School of Architecture, Xi’an University of Architecture and Technology, Xi’an 710055, China
    National Key Laboratory of Green Building, Xi’an 710055, China
    School of Civil and Architectural Engineering, Hubei University of Arts and Sciences, Xiangyang 441000, China)

  • Liu Yang

    (School of Architecture, Xi’an University of Architecture and Technology, Xi’an 710055, China
    National Key Laboratory of Green Building, Xi’an 710055, China)

  • Yuhao Qiao

    (Institute for Interdisciplinary and Innovate Research, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Qimeng Cao

    (Institute for Interdisciplinary and Innovate Research, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Bing Han

    (School of Architecture, Xi’an University of Architecture and Technology, Xi’an 710055, China
    National Key Laboratory of Green Building, Xi’an 710055, China)

Abstract

Different spatial forms affect the indoor thermal environment and human thermal comfort. A good living environment largely depends on the flexibility of spatial forms, and spatial scale and proportion are the key factors affecting these forms. We selected typical residential houses in the middle reaches of the Hanjiang River in the hot summer and cold winter climate area as an example. Through on-site measurements and questionnaire surveys, we studied the impact of residential form indicators on the thermal environment and thermal comfort. We also established a multivariate model to explore the correlation among various parameters. The results showed that the spatial-real ratio of the residential spatial form index in the middle reaches of Hanjiang River was 5–58%. The height from the ground was 2.23–6.92 m. The open-space ratio was 0.04–4.55. The explanatory power of the spatial form index to indoor air temperature was 57.5%, with a strong correlation (R 2 = 0.675). The explanatory power for humidity was 38.2%, with a weak correlation (R 2 = 0.525). The explanatory power of SET was 30.6–50.1%, with a weak correlation (R 2 = 0.466). The explanatory power of PMV was 6.5–31.7%, and PMV1.0 was weakly correlated (R 2 = 0.474). The explanatory power for PPD was 15.5%, where PPD 1.0 was close to a weak correlation (R 2 = 0.508). The results of this study provide reference values for the design methods of and decision-making process for green and energy-saving regional buildings.

Suggested Citation

  • Yue Liu & Liu Yang & Yuhao Qiao & Qimeng Cao & Bing Han, 2024. "A Multivariate Model and Correlation Study on the Impact of Typical Residential Spatial Forms in the Middle Reaches of the Hanjiang River on the Thermal Environment and Thermal Comfort," Sustainability, MDPI, vol. 16(19), pages 1-16, September.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:19:p:8297-:d:1484487
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    References listed on IDEAS

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    1. Said Yousef Dwikat & Darwina Arshad & Mohd Noor Mohd Shariff, 2023. "Effect of Competent Human Capital, Strategic Flexibility and Turbulent Environment on Sustainable Performance of SMEs in Manufacturing Industries in Palestine," Sustainability, MDPI, vol. 15(6), pages 1-29, March.
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