A digital tool for prevention and management of cold weather injuries—Cold Weather Ensemble Decision Aid (CoWEDA)
| Autor: | Julio A. Gonzalez, Xiaojiang Xu, Timothy P Rioux, Eric O. Hansen, John W. Castellani, Adam W. Potter, Anthony J Karis, William R. Santee |
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| Rok vydání: | 2021 |
| Předmět: |
Atmospheric Science
Meteorology Health Toxicology and Mutagenesis Context (language use) Hypothermia Clothing Manikin Decision Support Techniques 03 medical and health sciences Thermoregulation model 0302 clinical medicine Lower body Protective Clothing medicine Humans 0501 psychology and cognitive sciences Weather Cold weather 050107 human factors Original Paper Frostbite Ecology business.industry 05 social sciences 030229 sport sciences medicine.disease Cold Temperature Environmental science Wind chill Body region Clothing insulation business Body Temperature Regulation |
| Zdroj: | International Journal of Biometeorology |
| ISSN: | 1432-1254 0020-7128 |
| Popis: | This paper describes a Cold Weather Ensemble Decision Aid (CoWEDA) that provides guidance for cold weather injury prevention, mission planning, and clothing selection. CoWEDA incorporates current science from the disciplines of physiology, meteorology, clothing, and computer modeling. The thermal performance of a cold weather ensemble is defined by endurance times, which are the time intervals from initial exposure until the safety limits are reached. These safety limits correspond to conservative temperature thresholds that provide a warning of the approaching onset of frostbite and/or hypothermia. A validated six-cylinder thermoregulatory model is used to predict human thermal responses to cold while wearing different ensembles. The performance metrics, model, and a database of clothing properties were integrated into a user-friendly software application. CoWEDA is the first tool that allows users to build their own ensembles from the clothing menu (i.e., jackets, footwear, and accessories) for each body region (i.e., head, torso, lower body, hands, feet) and view their selections in the context of physiological strain and the operational consequences. Comparison of predicted values to skin and core temperatures, measured during 17 cold exposures ranging from 0 to −40°C, indicated that the accuracy of CoWEDA prediction is acceptable, and most predictions are within measured mean ± SD. CoWEDA predicts the risk of frostbite and hypothermia and ensures that a selected clothing ensemble is appropriate for expected weather conditions and activities. CoWEDA represents a significant enhancement of required clothing insulation (IREQ, ISO 11079) and wind chill index-based guidance for cold weather safety and survival. |
| Databáze: | OpenAIRE |
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