Literature DB >> 27301471

Estimation of respiratory heat flows in prediction of heat strain among Taiwanese steel workers.

Wang-Yi Chen1,2, Yow-Jer Juang3, Jung-Yu Hsieh1, Perng-Jy Tsai4, Chen-Peng Chen5.   

Abstract

International Organization for Standardization 7933 standard provides evaluation of required sweat rate (RSR) and predicted heat strain (PHS). This study examined and validated the approximations in these models estimating respiratory heat flows (RHFs) via convection (C res) and evaporation (E res) for application to Taiwanese foundry workers. The influence of change in RHF approximation to the validity of heat strain prediction in these models was also evaluated. The metabolic energy consumption and physiological quantities of these workers performing at different workloads under elevated wet-bulb globe temperature (30.3 ± 2.5 °C) were measured on-site and used in the calculation of RHFs and indices of heat strain. As the results show, the RSR model overestimated the C res for Taiwanese workers by approximately 3 % and underestimated the E res by 8 %. The C res approximation in the PHS model closely predicted the convective RHF, while the E res approximation over-predicted by 11 %. Linear regressions provided better fit in C res approximation (R 2 = 0.96) than in E res approximation (R 2 ≤ 0.85) in both models. The predicted C res deviated increasingly from the observed value when the WBGT reached 35 °C. The deviations of RHFs observed for the workers from those predicted using the RSR or PHS models did not significantly alter the heat loss via the skin, as the RHFs were in general of a level less than 5 % of the metabolic heat consumption. Validation of these approximations considering thermo-physiological responses of local workers is necessary for application in scenarios of significant heat exposure.

Entities:  

Keywords:  Iron and steel casting; Metabolic rate; Predicted heat strain; Required sweat rate; Respiratory heat flow

Mesh:

Substances:

Year:  2016        PMID: 27301471     DOI: 10.1007/s00484-016-1195-y

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


  8 in total

1.  Development and validation of the predicted heat strain model.

Authors:  J Malchaire; A Piette; B Kampmann; P Mehnert; H Gebhardt; G Havenith; E Den Hartog; I Holmer; K Parsons; G Alfano; B Griefahn
Journal:  Ann Occup Hyg       Date:  2001-03

2.  Assessment of the risk of heat disorders encountered during work in hot conditions.

Authors:  J Malchaire; B Kampmann; P Mehnert; H Gebhardt; A Piette; G Havenith; I Holmér; K Parsons; G Alfano; B Griefahn
Journal:  Int Arch Occup Environ Health       Date:  2002-03       Impact factor: 3.015

3.  Heat stress evaluation and worker fatigue in a steel plant.

Authors:  Mei-Lien Chen; Chiu-Jung Chen; Wen-Yu Yeh; Ju-Wei Huang; I-Fang Mao
Journal:  AIHA J (Fairfax, Va)       Date:  2003 May-Jun

4.  The relative influence of physical fitness, acclimatization state, anthropometric measures and gender on individual reactions to heat stress.

Authors:  G Havenith; H van Middendorp
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1990

5.  Respiratory heat loss during work at various ambient temperatures.

Authors:  J B Cain; S D Livingstone; R W Nolan; A A Keefe
Journal:  Respir Physiol       Date:  1990-02

6.  Occupational health impacts of climate change: current and future ISO standards for the assessment of heat stress.

Authors:  Ken Parsons
Journal:  Ind Health       Date:  2013       Impact factor: 2.179

7.  Effect of working in hot environments on respiratory air temperatures.

Authors:  S D Livingstone; R W Nolan; J B Cain; A A Keefe
Journal:  Eur J Appl Physiol Occup Physiol       Date:  1994

8.  Computation of respiratory heat exchanges.

Authors:  P Varene
Journal:  J Appl Physiol (1985)       Date:  1986-10
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.