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

Research output: Contribution to journalArticle

Abstract

More and more people will experience thermal stress in the future as the global temperature is increasing at an alarming rate and the risk for extreme weather events is growing. The increased exposure to extreme weather events poses a challenge for societies around the world. This literature review investigates the feasibility of making advanced human thermal models in connection with meteorological data publicly available for more versatile practices and a wider population. By providing society and individuals with personalized heat and cold stress warnings, coping advice and educational purposes, the risks of thermal stress can effectively be reduced. One interesting approach is to use weather station data as input for the wet bulb globe temperature heat stress index, human heat balance models, and wind chill index to assess heat and cold stress. This review explores the advantages and challenges of this approach for the ongoing EU project ClimApp where more advanced models may provide society with warnings on an individual basis for different thermal environments such as tropical heat or polar cold. The biggest challenges identified are properly assessing mean radiant temperature, microclimate weather data availability, integration and continuity of different thermal models, and further model validation for vulnerable groups

Details

Authors
Organisations
External organisations
  • Institute for Safety (IFV), Netherlands
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Environmental Health and Occupational Health

Keywords

  • heat stress, cold stress, human thermal models, meteorological forecast, therman stress warning, heat wave, cold spell
Original languageEnglish
Article number16
JournalInternational Journal of Environmental Research and Public Health
Volume16
Issue number22
Publication statusPublished - 2019
Publication categoryResearch
Peer-reviewedYes

Related projects

Chuansi Gao, Lars Nybo, Jørn Toftum, Hein Daanen, Kalev Kuklane, Johanna Alkan Olsson, Stephen Garland, Koen Levels & Moniek Zuurbier

European Commission - Horizon 2020

2017/09/012020/08/31

Project: ResearchInternational collaboration

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