雾中的人体热负荷

E. Kristóf, F. Ács, A. Zsákai
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摘要

我们通过分析衣服的热阻 rcl 和工作温度 To,确定了在雾中行走和/或站立的人的热负荷特征。rcl-To模型适用于使用天气数据的个人。本研究分析的人的体重指数和基础代谢通量密度值分别为 25 kg m-2 和 40 W m-2。天气数据来自最近的自动气象站。在 2017-2024 年期间,我们在马顿瓦萨尔(匈牙利大平原地区,中欧)观测到 146 次雾事件。主要结果如下(1) 在雾事件期间,rcl 和 To 值大多分别介于 2 至 0.5 clo 和 -4 至 16 °C 之间。(2) 最大和最小的 rcl 和 To 值分别约为 2.5 和 0 clo 以及 -7 和 22 °C。(3) 人际变化和风速变化导致的 rcl 差值相当,最大值约为 0.5-0.7 clo。(4) 最后,站立者和行走者的 rcl 值有显著差异。最后,我们可以强调,雾的热负荷明显取决于人的活动和人体测量特征。
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On the Human Thermal Load in Fog
We characterized the thermal load of a person walking and/or standing in the fog by analyzing the thermal resistance of clothing, rcl, and operative temperature, To. The rcl–To model applies to individuals using weather data. The body mass index and basal metabolic flux density values of the person analyzed in this study are 25 kg m−2 and 40 W m−2, respectively. Weather data are taken from the nearest automatic weather station. We observed 146 fog events in the period 2017–2024 in Martonvásár (Hungary’s Great Plain region, Central Europe). The main results are as follows: (1) The rcl and To values were mostly between 2 and 0.5 clo and −4 and 16 °C during fog events, respectively. (2) The largest and smallest rcl and To values were around 2.5 and 0 clo and −7 and 22 °C, respectively. (3) The rcl differences resulting from interpersonal and wind speed variability are comparable, with a maximum value of around 0.5–0.7 clo. (4) Finally, rcl values are significantly different for standing and walking persons. At the very end, we can emphasize that the thermal load of the fog depends noticeably on the person’s activity and anthropometric characteristics.
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