2007, Piran, Slovenia
2007, Piran, Slovenia 2007, Piran, Slovenia
Environmental Ergonomics XII Igor B. Mekjavic, Stelios N. Kounalakis & Nigel A.S. Taylor (Eds.), © BIOMED, Ljubljana 2007 Mean skin temperature: Subjects’ mean skin temperature decreased within the first 10 minutes in both conditions (Figures 3 and 4). Thereafter mean skin temperature stabilised in all trials with the exception of trial D3, where it continued to gradually decrease in the latter half of the trial. Mean skin temperature decrement in simulations was generally faster and greater in magnitude than observed, except in D10 simulations where the clothing insulation was not corrected for wind and walking, and where it started sharply increasing after the initial drop (Figures 4). In contrast, D3 simulations without wind correction remained closer to the observed data (Figure 3). Assuming the wind and walking corrected insulation as true values, then the differences between observed and predicted values may be due to an overestimation of the ventilation in the thick winter clothes by the Fiala model, and/or an underestimation of the thermal inertia of the clothing system. 518 Rectal temperature (°C) Rectal temperature (°C) 38,5 38,3 38,1 37,9 37,7 37,5 37,3 37,1 36,9 36,7 D3 Subj D3 Dn D3 Un D3 Dw D3 Uw Figure 1. The subject data and predicted values of the rectal temperature in 3 m/s wind. 36,5 0 10 20 30 40 50 60 70 80 90 100 38,5 38,3 38,1 37,9 37,7 37,5 37,3 37,1 36,9 36,7 Time (min) D10 Subj D10 Dn D10 Un D10 Uw D10 Dw 36,5 0 10 20 30 40 50 60 70 80 90 100 Time (min) Figure 2. The subject data and predicted values of the rectal temperature in 10 m/s wind.
Skin temperature (°C) Universal Thermal Climate Index Figure 3. The subject data and predicted values of the mean skin temperature in 3 m/s wind. Skin temperature (°C) 37 36 35 34 33 32 31 30 29 28 27 37 36 35 34 33 32 31 30 29 28 D3 Subj D3Dn D3Uw D3Dw D3Un 0 10 20 30 40 50 60 70 80 90 100 Time (min) D10 Subj D10Dn D10Un D10Dw D10Uw 27 0 10 20 30 40 50 60 70 80 90 100 Time (min) Figure 4. The subject data and predicted values of the mean skin temperature in 10 m/s wind. Skin evaporation: The strong decrease of the mean skin temperature in the simulations may be related to skin evaporation, too. That, however, cannot explain the initial drop as the calculated skin evaporation in the beginning was at a relatively low level, before it started rapidly increasing after 10 (D3) to 15 (D10) minutes. This rapid increase seems not to have a further effect on mean skin temperature development. As the subjects’ skin evaporation data is just an average value for the whole exposure period it is not possible to compare the observed evaporation values with those simulated by the model. Still, based on the mean skin evaporation from the subjects in D3 the simulated sweat rates might have been somewhat too high, while in D10 they were more reasonable, especially when clothing insulation was corrected for walking and wind. DISCUSSION All the simulated rectal temperatures remained relatively close, were not affected much by varying clothing insulation based on wind and walking, and uniform or different insulation distribution. Predicted increases were higher than measured. The simulated skin cooling was 519
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Environmental Ergonomics XII<br />
Igor B. Mekjavic, Stelios N. Kounalakis & Nigel A.S. Taylor (Eds.), © BIOMED, Ljubljana <strong>2007</strong><br />
Mean skin temperature: Subjects’ mean skin temperature decreased within the first 10<br />
minutes in both conditions (Figures 3 and 4). Thereafter mean skin temperature stabilised in<br />
all trials with the exception of trial D3, where it continued to gradually decrease in the latter<br />
half of the trial. Mean skin temperature decrement in simulations was generally faster and<br />
greater in magnitude than observed, except in D10 simulations where the clothing insulation<br />
was not corrected for wind and walking, and where it started sharply increasing after the<br />
initial drop (Figures 4). In contrast, D3 simulations without wind correction remained closer<br />
to the observed data (Figure 3). Assuming the wind and walking corrected insulation as true<br />
values, then the differences between observed and predicted values may be due to an<br />
overestimation of the ventilation in the thick winter clothes by the Fiala model, and/or an<br />
underestimation of the thermal inertia of the clothing system.<br />
518<br />
Rectal temperature (°C)<br />
Rectal temperature (°C)<br />
38,5<br />
38,3<br />
38,1<br />
37,9<br />
37,7<br />
37,5<br />
37,3<br />
37,1<br />
36,9<br />
36,7<br />
D3 Subj D3 Dn D3 Un D3 Dw D3 Uw Figure 1. The subject<br />
data and predicted<br />
values of the rectal<br />
temperature in 3 m/s<br />
wind.<br />
36,5<br />
0 10 20 30 40 50 60 70 80 90 100<br />
38,5<br />
38,3<br />
38,1<br />
37,9<br />
37,7<br />
37,5<br />
37,3<br />
37,1<br />
36,9<br />
36,7<br />
Time (min)<br />
D10 Subj D10 Dn D10 Un D10 Uw D10 Dw<br />
36,5<br />
0 10 20 30 40 50 60 70 80 90 100<br />
Time (min)<br />
Figure 2. The subject<br />
data and predicted<br />
values of the rectal<br />
temperature in 10 m/s<br />
wind.