Literature DB >> 21725871

Facial convective heat exchange coefficients in cold and windy environments estimated from human experiments.

Yael Ben Shabat1, Avraham Shitzer.   

Abstract

Facial heat exchange convection coefficients were estimated from experimental data in cold and windy ambient conditions applicable to wind chill calculations. Measured facial temperature datasets, that were made available to this study, originated from 3 separate studies involving 18 male and 6 female subjects. Most of these data were for a -10°C ambient environment and wind speeds in the range of 0.2 to 6 m s(-1). Additional single experiments were for -5°C, 0°C and 10°C environments and wind speeds in the same range. Convection coefficients were estimated for all these conditions by means of a numerical facial heat exchange model, applying properties of biological tissues and a typical facial diameter of 0.18 m. Estimation was performed by adjusting the guessed convection coefficients in the computed facial temperatures, while comparing them to measured data, to obtain a satisfactory fit (r(2) > 0.98, in most cases). In one of the studies, heat flux meters were additionally used. Convection coefficients derived from these meters closely approached the estimated values for only the male subjects. They differed significantly, by about 50%, when compared to the estimated female subjects' data. Regression analysis was performed for just the -10°C ambient temperature, and the range of experimental wind speeds, due to the limited availability of data for other ambient temperatures. The regressed equation was assumed in the form of the equation underlying the "new" wind chill chart. Regressed convection coefficients, which closely duplicated the measured data, were consistently higher than those calculated by this equation, except for one single case. The estimated and currently used convection coefficients are shown to diverge exponentially from each other, as wind speed increases. This finding casts considerable doubts on the validity of the convection coefficients that are used in the computation of the "new" wind chill chart and their applicability to humans in cold and windy environments.

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Year:  2011        PMID: 21725871     DOI: 10.1007/s00484-011-0463-0

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  6 in total

1.  Excerpts from: measurements of dry atmospheric cooling in subfreezing temperatures. 1945.

Authors:  P A Siple; C F Passel
Journal:  Wilderness Environ Med       Date:  1999       Impact factor: 1.518

2.  An evaluation of the wind chill factor: its development and applicability.

Authors:  M Bluestein
Journal:  J Biomech Eng       Date:  1998-04       Impact factor: 2.097

3.  Thermal responses to cold wind of thermoneutral and cooled subjects.

Authors:  T Mäkinen; D Gavhed; I Holmér; H Rintamäki
Journal:  Eur J Appl Physiol       Date:  2000-03       Impact factor: 3.078

4.  Prediction of facial cooling while walking in cold wind.

Authors:  Peter Tikuisis; Michel B Ducharme; Dragan Brajkovic
Journal:  Comput Biol Med       Date:  2006-12-22       Impact factor: 4.589

5.  Wind-chill-equivalent temperatures: regarding the impact due to the variability of the environmental convective heat transfer coefficient.

Authors:  Avraham Shitzer
Journal:  Int J Biometeorol       Date:  2006-01-06       Impact factor: 3.787

6.  Meaningful wind chill indicators derived from heat transfer principles.

Authors:  N Brauner; M Shacham
Journal:  Int J Biometeorol       Date:  1995-08       Impact factor: 3.787

  6 in total
  5 in total

1.  Measuring facial cooling in outdoor windy winter conditions: an exploratory study.

Authors:  Andrew G S Briggs; Terry J Gillespie; Robert D Brown
Journal:  Int J Biometeorol       Date:  2017-05-11       Impact factor: 3.787

2.  Comments on "Modified wind chill temperatures determined by a whole body thermoregulation model and human-based convective coefficients" by Ben Shabat, Shitzer and Fiala (2013) and "Facial convective heat exchange coefficients in cold and windy environments estimated from human experiments" by Ben Shabat and Shitzer (2012).

Authors:  Randall J Osczevski
Journal:  Int J Biometeorol       Date:  2014-06-13       Impact factor: 3.787

3.  Improved predictive ability of climate-human-behaviour interactions with modifications to the COMFA outdoor energy budget model.

Authors:  J K Vanos; J S Warland; T J Gillespie; N A Kenny
Journal:  Int J Biometeorol       Date:  2012-02-16       Impact factor: 3.787

4.  Modified wind chill temperatures determined by a whole body thermoregulation model and human-based facial convective coefficients.

Authors:  Yael Ben Shabat; Avraham Shitzer; Dusan Fiala
Journal:  Int J Biometeorol       Date:  2013-06-28       Impact factor: 3.787

5.  Human cold stress of strong local-wind "Hijikawa-arashi" in Japan, based on the UTCI index and thermo-physiological responses.

Authors:  Yukitaka Ohashi; Takumi Katsuta; Haruka Tani; Taiki Okabayashi; Satoshi Miyahara; Ryoji Miyashita
Journal:  Int J Biometeorol       Date:  2018-03-30       Impact factor: 3.787

  5 in total

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