Occupational heat stress assessment and protective strategies in the context of climate change
(2018) In International Journal of Biometeorology 62(3). p.359-371- Abstract
- Global warming will unquestionably increase the impact of heat on individuals who work in already hot workplaces in hot climate areas. The increasing prevalence of this environmental health risk requires the improvement of assessment methods linked to meteorological data. Such new methods will help to reveal the size of the problem and design appropriate interventions at individual, workplace and societal level. The evaluation of occupational heat stress requires measurement of four thermal climate factors (air temperature, humidity, air velocity and heat radiation); available weather station data may serve this purpose. However, the use of meteorological data for occupational heat stress assessment is limited because weather stations do... (More)
- Global warming will unquestionably increase the impact of heat on individuals who work in already hot workplaces in hot climate areas. The increasing prevalence of this environmental health risk requires the improvement of assessment methods linked to meteorological data. Such new methods will help to reveal the size of the problem and design appropriate interventions at individual, workplace and societal level. The evaluation of occupational heat stress requires measurement of four thermal climate factors (air temperature, humidity, air velocity and heat radiation); available weather station data may serve this purpose. However, the use of meteorological data for occupational heat stress assessment is limited because weather stations do not traditionally and directly measure some important climate factors, e.g. solar radiation. In addition, local workplace environmental conditions such as local heat sources, metabolic heat production within the human body, and clothing properties, all affect the exchange of heat between the body and the environment. A robust occupational heat stress index should properly address all these factors. This article reviews and highlights a number of selected heat stress indices, indicating their advantages and disadvantages in relation to meteorological data, local workplace environments, body heat production and the use of protective clothing. These heat stress and heat strain indices include Wet Bulb Globe Temperature, Discomfort Index, Predicted Heat Strain index, and Universal Thermal Climate Index. In some cases, individuals may be monitored for heat strain through physiological measurements and medical supervision prior to and during exposure. Relevant protective and preventive strategies for alleviating heat strain are also reviewed and proposed. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/ad08d55c-c8cb-4056-bbb6-34bf606b14ed
- author
- Gao, Chuansi LU ; Kuklane, Kalev LU ; Östergren, Per-Olof LU and Kjellstrom, Tord
- organization
- publishing date
- 2018
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Global warming;, Meteorological data;, Occupational and environmental health;, Heat stress index;, Heat strain;, Protection
- in
- International Journal of Biometeorology
- volume
- 62
- issue
- 3
- pages
- 359 - 371
- publisher
- Springer
- external identifiers
-
- pmid:28444505
- scopus:85018699491
- ISSN
- 1432-1254
- DOI
- 10.1007/s00484-017-1352-y
- project
- Integrated inter-sector framework to increase the thermal resilience of European
- language
- English
- LU publication?
- yes
- id
- ad08d55c-c8cb-4056-bbb6-34bf606b14ed
- date added to LUP
- 2017-04-03 11:09:09
- date last changed
- 2022-04-09 07:28:03
@article{ad08d55c-c8cb-4056-bbb6-34bf606b14ed,
abstract = {{Global warming will unquestionably increase the impact of heat on individuals who work in already hot workplaces in hot climate areas. The increasing prevalence of this environmental health risk requires the improvement of assessment methods linked to meteorological data. Such new methods will help to reveal the size of the problem and design appropriate interventions at individual, workplace and societal level. The evaluation of occupational heat stress requires measurement of four thermal climate factors (air temperature, humidity, air velocity and heat radiation); available weather station data may serve this purpose. However, the use of meteorological data for occupational heat stress assessment is limited because weather stations do not traditionally and directly measure some important climate factors, e.g. solar radiation. In addition, local workplace environmental conditions such as local heat sources, metabolic heat production within the human body, and clothing properties, all affect the exchange of heat between the body and the environment. A robust occupational heat stress index should properly address all these factors. This article reviews and highlights a number of selected heat stress indices, indicating their advantages and disadvantages in relation to meteorological data, local workplace environments, body heat production and the use of protective clothing. These heat stress and heat strain indices include Wet Bulb Globe Temperature, Discomfort Index, Predicted Heat Strain index, and Universal Thermal Climate Index. In some cases, individuals may be monitored for heat strain through physiological measurements and medical supervision prior to and during exposure. Relevant protective and preventive strategies for alleviating heat strain are also reviewed and proposed.}},
author = {{Gao, Chuansi and Kuklane, Kalev and Östergren, Per-Olof and Kjellstrom, Tord}},
issn = {{1432-1254}},
keywords = {{Global warming;; Meteorological data;; Occupational and environmental health;; Heat stress index;; Heat strain;; Protection}},
language = {{eng}},
number = {{3}},
pages = {{359--371}},
publisher = {{Springer}},
series = {{International Journal of Biometeorology}},
title = {{Occupational heat stress assessment and protective strategies in the context of climate change}},
url = {{http://dx.doi.org/10.1007/s00484-017-1352-y}},
doi = {{10.1007/s00484-017-1352-y}},
volume = {{62}},
year = {{2018}},
}