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Updated: Apr 20, 2026

Field-Based Thermal Physiology Assay: Cold Shock Recovery under Ambient Conditions
Published on: March 9, 2021
Experimental and numerical study of physiological responses in hot environments
Jie Yang1, Wenguo Weng1, Baoting Zhang1
1Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing 100084, PR China.
This study presents an enhanced multi-node human thermal model for predicting physiological responses in hot environments. The validated model accurately forecasts skin and core temperatures, crucial for thermal comfort research.
Area of Science:
- Environmental Science
- Human Physiology
- Thermal Engineering
Background:
- Understanding human thermal responses is vital for designing safe and comfortable environments.
- Existing models require refinement to accurately predict physiological changes under extreme heat.
- Tanabe's model provides a foundation for further development in heat exchange analysis.
Purpose of the Study:
- To propose and validate an extended multi-node human thermal model.
- To investigate the impact of high temperatures on human heat production and blood flow.
- To accurately predict skin and core temperatures in diverse thermal conditions.
Main Methods:
- An extended multi-node human thermal model was developed, incorporating high-temperature effects on heat production, blood flow, and heat exchange.
- Experimental validation involved five healthy men exposed to thermal neutral (29°C) and high-temperature (45°C) environments.
- Continuous measurement of rectal and skin temperatures across seven body segments was performed.
Main Results:
- The model demonstrated high accuracy in predicting both the tendency and absolute values of skin and core temperatures.
- Temperature prediction errors were generally smaller in the high-temperature environment compared to the neutral environment for most body segments.
- The model successfully predicted human physiological responses in hot environments.
Conclusions:
- The extended multi-node human thermal model accurately predicts human thermal responses in hot conditions.
- The model's enhanced consideration of heat exchange coefficients and physiological parameters improves prediction accuracy.
- This validated model is a valuable tool for thermal comfort and safety assessments in extreme heat.
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