Investigation and Prediction of Outdoor Thermal Comfort under Different Protection and Activity Intensity Conditions in Summer in Wuhan

Xiaoyu Cai, Xiaofang Shan, Zeng Zhou, Xin Kang and Qinli Deng ()
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Xiaoyu Cai: School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China
Xiaofang Shan: School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China
Zeng Zhou: School of Urban Design, Wuhan University, 8 Donghu Nan Road, Wuhan 430072, China
Xin Kang: School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China
Qinli Deng: School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430070, China

Sustainability, 2024, vol. 16, issue 9, 1-17

Abstract: In the context of normalized epidemic prevention and control, the impact of masks and protective clothing on personal thermal comfort cannot be overlooked. To investigate the thermal comfort of outdoor personnel under various protective conditions, this study took Wuhan as an example and evaluated the outdoor thermal comfort of subjects under different protection and activity conditions through thermal environment monitoring, physiological measurements, and thermal comfort questionnaires. The results show significant differences in the PET thermal comfort baseline under various protective conditions. To address the problem that most areas have not yet established state-specific thermal comfort baselines, a State Outdoor Comfort Index (SOCI) model was developed to correct the insensitivity of PET indicators to clothing thermal resistance and metabolic rate. Finally, the performance of the SOCI model was evaluated through statistical indicators, demonstrating its good predictive capability. This study provides appropriate quantitative indicators to improve the thermal comfort of outdoor personnel.

Keywords: outdoor thermal comfort; PET; State Outdoor Comfort Index; activity intensity; protective intensity (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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