Literature DB >> 21178244

Can the PHS model (ISO7933) predict reasonable thermophysiological responses while wearing protective clothing in hot environments?

Faming Wang1, Kalev Kuklane, Chuansi Gao, Ingvar Holmér.   

Abstract

In this paper, the prediction accuracy of the PHS (predicted heat strain) model on human physiological responses while wearing protective clothing ensembles was examined. Six human subjects (aged 29 ± 3 years) underwent three experimental trials in three different protective garments (clothing thermal insulation I(cl) ranges from 0.63 to 2.01 clo) in two hot environments (40 °C, relative humidities: 30% and 45%). The observed and predicted mean skin temperature, core body temperature and sweat rate were presented and statistically compared. A significant difference was found in the metabolic rate between FIRE (firefighting clothing) and HV (high visibility clothing) or MIL (military clothing) (p < 0.001). Also, the development of heart rate demonstrated the significant effects of the exposure time and clothing ensembles. In addition, the predicted evaporation rate during HV, MIL and FIRE was much lower than the experimental values. Hence, the current PHS model is not applicable for protective clothing with intrinsic thermal insulations above 1.0 clo. The results showed that the PHS model generated unreliable predictions on body core temperature when human subjects wore thick protective clothing such as firefighting clothing (I(cl) > 1.0 clo). The predicted mean skin temperatures in three clothing ensembles HV, MIL and FIRE were also outside the expected limits. Thus, there is a need for further extension for the clothing insulation validation range of the PHS model. It is recommended that the PHS model should be amended and validated by individual algorithms, physical or physiological parameters, and further subject studies.

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Year:  2010        PMID: 21178244     DOI: 10.1088/0967-3334/32/2/007

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  9 in total

1.  Use of Thermoregulatory Models to Evaluate Heat Stress in Industrial Environments.

Authors:  Irena I Yermakova; Adam W Potter; António M Raimundo; Xiaojiang Xu; Jason W Hancock; A Virgilio M Oliveira
Journal:  Int J Environ Res Public Health       Date:  2022-06-29       Impact factor: 4.614

2.  Occupational heat stress and associated productivity loss estimation using the PHS model (ISO 7933): a case study from workplaces in Chennai, India.

Authors:  Karin Lundgren; Kalev Kuklane; Vidhya Venugopal
Journal:  Glob Health Action       Date:  2014-11-04       Impact factor: 2.640

Review 3.  Occupational heat stress assessment and protective strategies in the context of climate change.

Authors:  Chuansi Gao; Kalev Kuklane; Per-Olof Östergren; Tord Kjellstrom
Journal:  Int J Biometeorol       Date:  2017-04-25       Impact factor: 3.787

4.  Assessment of thermal environments: working conditions in the portuguese glass industry.

Authors:  A Virgílio M Oliveira; Adélio R Gaspar; António M Raimundo; Divo A Quintela
Journal:  Ind Health       Date:  2017-08-19       Impact factor: 2.179

5.  A free software to predict heat strain according to the ISO 7933:2018.

Authors:  Leonidas G Ioannou; Lydia Tsoutsoubi; Konstantinos Mantzios; Andreas D Flouris
Journal:  Ind Health       Date:  2019-03-27       Impact factor: 2.179

6.  Heat Strain Evaluation of Power Grid Outdoor Workers Based on a Human Bioheat Model.

Authors:  Letian Li; Boyang Sun; Zhuqiang Hu; Jun Zhang; Song Gao; Haifeng Bian; Jiansong Wu
Journal:  Int J Environ Res Public Health       Date:  2022-06-26       Impact factor: 4.614

Review 7.  Measurements of clothing evaporative resistance using a sweating thermal manikin: an overview.

Authors:  Faming Wang
Journal:  Ind Health       Date:  2017-06-01       Impact factor: 2.179

Review 8.  Is There a Need to Integrate Human Thermal Models with Weather Forecasts to Predict Thermal Stress?

Authors:  Jakob Petersson; Kalev Kuklane; Chuansi Gao
Journal:  Int J Environ Res Public Health       Date:  2019-11-19       Impact factor: 3.390

9.  The Effects of the Dynamic Thermophysical Properties of Clothing and the Walking Speed Input Parameter on the Heat Strain of a Human Body Predicted by the PHS Model.

Authors:  Qianqian Huang; Jun Li
Journal:  Int J Environ Res Public Health       Date:  2020-09-05       Impact factor: 3.390

  9 in total

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