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Predicting survival time for cold exposure

P Tikuisis1

  • 1Defence and Civil Institute of Environmental Medicine, North York, Ontario, Canada.

International Journal of Biometeorology
|November 1, 1995
PubMed
Summary
This summary is machine-generated.

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This study developed a mathematical model to predict survival time (ST) in cold environments. The model estimates how long individuals can survive based on factors like temperature, clothing, and metabolic heat production.

Area of Science:

  • Environmental Physiology
  • Biophysics
  • Mathematical Modeling

Background:

  • Accurate prediction of survival time (ST) in cold exposure is challenging due to limited controlled data on deep hypothermia.
  • Existing guidance often relies on case histories of accidental cold exposure, which can be unreliable.

Purpose of the Study:

  • To develop a mathematical model for predicting ST under sedentary conditions in cold environments.
  • To provide a quantitative tool for estimating survival duration in various cold conditions.

Main Methods:

  • Developed a steady-state heat conduction model in a single cylinder with core, fat/skin, and clothing layers.
  • Incorporated metabolic heat production (resting and shivering) influenced by core and skin temperatures.
  • Calibrated the model using cold water immersion survival data and applied it to cold air exposure.

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Main Results:

  • The model predicts ST based on heat loss balance or shivering endurance.
  • Example predictions for nude males in calm air range from 1.8h at -30°C to >24h at 10°C.
  • Clothing significantly increases predicted ST, e.g., with two layers, survival at -30°C is 8.6h (vs. 4.1h nude).

Conclusions:

  • The developed model offers a method to predict survival time in cold conditions.
  • Predictions are valuable for relative comparisons of different environmental and protective scenarios.
  • Users should consider the model's extrapolative nature and use predictions cautiously for ranking protection levels.