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PREDICTING SURVIVAL TIME FOR COLD EXPOSURE

机译:预测冷暴露的生存时间

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摘要

The prediction of survival time (ST) for cold exposure is speculative as reliable controlled data of deep hypothermia are unavailable. At best, guidance can be obtained from case histories of accidental exposure. This study describes the development of a mathematical model for the prediction of ST under sedentary conditions in the cold. The model is based on steady-state heat conduction in a single cylinder comprised of a core and two concentric annular shells representing the fat plus skin and the clothing plus still boundary layer, respectively. The ambient condition can be either air or water; the distinction is made by assigning different values of insulation to the still boundary layer. Metabolic heat production (M) is comprised of resting and shivering components with the latter predicted by temperature signals from the core and skin. Where the cold exposure is too severe for M to balance heat loss, ST is largely determined by the rate of heat loss from the body. Where a balance occurs, ST is governed by the endurance time for shivering. End of survival is marked by the deep core temperature reaching a value of 30 degrees C. The model was calibrated against survival data of cold water (0 to 20 degrees C) immersion and then applied to cold air exposure. A sampling of ST predictions for the nude exposure of an average healthy male in relatively calm air (1 km/h wind speed) are the following. 1.8, 2.5, 4.1, 9.0, and > 24 h for -30, -20, -10, 0, and 10 degrees C, respectively. With two layers of loose clothing (average thickness of 1 mm each) in a 5 km/h wind, STs are 4.0, 5.6, 8.6, 15.4, and > 24 h for -50, -40, -30, -20, and -10 degrees C. The predicted STs must be weighted against the extrapolative nature of the model. At present, it would be prudent to use the predictions in a relative sense, that is, to compare or rank-order predicted STs for various combinations of ambient conditions and clothing protection.
机译:由于无法获得深低温的可靠控制数据,因此对于冷暴露的生存时间(ST)的预测是推测性的。充其量,可以从偶然接触的病例历史中获得指导。这项研究描述了在寒冷的久坐条件下预测ST的数学模型的开发。该模型基于单个圆柱体中的稳态热传导,该圆柱体由一个核和两个同心的环形壳组成,分别代表脂肪,皮肤和衣服以及静止边界层。环境条件可以是空气或水。通过为静止边界层分配不同的绝缘值来进行区分。代谢热量的产生(M)由静止和干燥的成分组成,后者由来自核心和皮肤的温度信号预测。如果冷暴露对于M来说太严重而无法平衡热量散失,则ST很大程度上取决于人体的热量散失率。在发生平衡的情况下,ST受制于发抖的持续时间。生存期的结束是深核心温度达到30摄氏度的值。针对模型的模型是根据冷水(0至20摄氏度)浸没的生存数据进行校准的,然后应用于冷空气暴露。以下是对正常健康男性在相对平静的空气(风速1 km / h)中裸露暴露的ST预测的样本。在-30,-20,-10、0和10摄氏度下分别为1.8、2.5、4.1、9.0和> 24小时。在风速为5 km / h的情况下,使用两层宽松的衣服(平均厚度为1毫米),对于-50,-40,-30,-20和-50,ST为4.0、5.6、8.6、15.4和> 24小时-10摄氏度。预测的ST必须权衡模型的外推性质。目前,谨慎地使用相对意义上的预测,即针对环境条件和衣物保护的各种组合比较或对预测的ST进行排序。

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