Literature DB >> 10457639

Prediction of workplace wet bulb global temperature.

T E Bernard1, M Pourmoghani.   

Abstract

The wet bulb globe temperature (WBGT) is the de facto standard to assess environmental contributions to heat stress. A practical problem emerges when the heat stress conditions vary over many locations or during the day. To address this problem, investigators have suggested empirical relationships and thermodynamic models. The purpose of this effort was to examine a thermodynamic model in the laboratory and to predict WBGTs in an aluminum smelter by both the empirical and thermodynamic models. In the laboratory, there was no real difference between the experimental data and the thermodynamic model. In the application to an aluminum smelter, there was a small overall tendency for the predicted values to be greater than the actual values, but there was no practical difference between the models. The empirical model provided a good match with a slight over-prediction by 0.5 degree C with a standard deviation of 3.0 degrees C. For the same data, the thermodynamic model had an average over-prediction of 0.7 degree C with a standard deviation of 2.8 degrees C. Either method of predicting WBGT was effective. The empirical method required less computation and was conceptually simpler.

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Year:  1999        PMID: 10457639     DOI: 10.1080/104732299303296

Source DB:  PubMed          Journal:  Appl Occup Environ Hyg        ISSN: 1047-322X


  19 in total

1.  Wet-bulb globe temperature index estimation using meteorological data from São Paulo State, Brazil.

Authors:  Paulo Alves Maia; Álvaro Cézar Ruas; Daniel Pires Bitencourt
Journal:  Int J Biometeorol       Date:  2015-01-30       Impact factor: 3.787

2.  Re-evaluating occupational heat stress in a changing climate.

Authors:  June T Spector; Perry E Sheffield
Journal:  Ann Occup Hyg       Date:  2014-09-26

3.  Heat exposure on farmers in northeast Ghana.

Authors:  Kwasi Frimpong; Eddie Van Etten E J; Jacques Oosthuzien; Victor Fannam Nunfam
Journal:  Int J Biometeorol       Date:  2016-08-06       Impact factor: 3.787

4.  The Heat Strain of Various Athletic Surfaces: A Comparison Between Observed and Modeled Wet-Bulb Globe Temperatures.

Authors:  J Luke Pryor; Riana R Pryor; Andrew Grundstein; Douglas J Casa
Journal:  J Athl Train       Date:  2017-11-02       Impact factor: 2.860

5.  Estimating Occupational Heat Exposure From Personal Sampling of Public Works Employees in Birmingham, Alabama.

Authors:  Suwei Wang; Molly B Richardson; Connor Y H Wu; Carly D Cholewa; Claudiu T Lungu; Benjamin F Zaitchik; Julia M Gohlke
Journal:  J Occup Environ Med       Date:  2019-06       Impact factor: 2.162

6.  Climate change and occupational heat stress: methods for assessment.

Authors:  Ingvar Holmér
Journal:  Glob Health Action       Date:  2010-11-29       Impact factor: 2.640

7.  Estimating population heat exposure and impacts on working people in conjunction with climate change.

Authors:  Tord Kjellstrom; Chris Freyberg; Bruno Lemke; Matthias Otto; David Briggs
Journal:  Int J Biometeorol       Date:  2017-08-01       Impact factor: 3.787

8.  An advanced empirical model for quantifying the impact of heat and climate change on human physical work capacity.

Authors:  Josh Foster; James W Smallcombe; Simon Hodder; Ollie Jay; Andreas D Flouris; Lars Nybo; George Havenith
Journal:  Int J Biometeorol       Date:  2021-03-05       Impact factor: 3.787

9.  Regional maps of occupational heat exposure: past, present, and potential future.

Authors:  Olivia M Hyatt; Bruno Lemke; Tord Kjellstrom
Journal:  Glob Health Action       Date:  2010-12-13       Impact factor: 2.640

10.  Occupational heat stress In USA: whither we go?

Authors:  Thomas E Bernard
Journal:  Ind Health       Date:  2014       Impact factor: 2.179

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