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人类在炎热中炼:对汗水模型的审查和与最近的实验数据集的比较
Robin de Korver1,2, Boris R M Kingma2,3, George Havenith4
1Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Temperature (Austin, Tex.)
|September 10, 2025
概括
现有的出汗率模型很难预测运动期间的水分损失. 即使使用了优化的输入,当前的模型也只能解释50%的出汗率变化,强调需要改进温度调节预测.
科学领域:
- 人体生理学 人体生理学
- 热调节 热调节 热调节
- 运动科学 运动科学
背景情况:
- 在运动和暴露于热量期间,出汗对人类温度调节至关重要.
- 汗流率的预测模型已经发展了几十年.
- 准确的出汗率预测对于热应激管理至关重要.
研究的目的:
- 评估现有的出汗率预测模型的准确性.
- 将预测的水损失率 (WLR) 与实证数据进行比较.
- 识别影响模型性能的因素,并提出改进建议.
主要方法:
- 在三个实验室实验中比较了780名参与者的暴露.
- 在不同的条件下测试模型:不同的运动强度,温度 (-40°C至50°C),湿度,空气速度和服装.
- 使用R2和根平均平方误差 (RMSE) 评估模型性能.
主要成果:
- 模型性能差异很大,最大R2为0.5.5.
- RMSE值在4.9至10.4g/分钟之间.
- 核心温度设定值较低的模型表现更好;大多数低估了高水损失率.
- 优化的设定点建议首选的核心温度范围为36.2°C至36.6°C.
结论:
- 目前的出汗率模型只能解释约50%的观察到的水损失变异.
- 模型的准确性受到体温和出汗率之间的简化关系的限制.
- 未来的模型需要纳入非热因素,并完善体温调节以改善预测,特别是在更高的运动强度下.
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