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

Author

Listed:
  • Jakob Petersson

    (Thermal Environment Laboratory, Division of Ergonomics and Aerosol Technology, Department of Design Sciences, Faculty of Engineering, Lund University, 22362 Lund, Sweden)

  • Kalev Kuklane

    (Institute for Safety (IFV), 2701 AC Zoetermeer, The Netherlands)

  • Chuansi Gao

    (Thermal Environment Laboratory, Division of Ergonomics and Aerosol Technology, Department of Design Sciences, Faculty of Engineering, Lund University, 22362 Lund, Sweden)

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.

Suggested Citation

  • Jakob Petersson & Kalev Kuklane & Chuansi Gao, 2019. "Is There a Need to Integrate Human Thermal Models with Weather Forecasts to Predict Thermal Stress?," IJERPH, MDPI, vol. 16(22), pages 1-18, November.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:22:p:4586-:d:288697
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    References listed on IDEAS

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    Cited by:

    1. Irena I. Yermakova & Adam W. Potter & António M. Raimundo & Xiaojiang Xu & Jason W. Hancock & A. Virgilio M. Oliveira, 2022. "Use of Thermoregulatory Models to Evaluate Heat Stress in Industrial Environments," IJERPH, MDPI, vol. 19(13), pages 1-17, June.
    2. B. R. M. Kingma & H. Steenhoff & J. Toftum & H. A. M. Daanen & M. A. Folkerts & N. Gerrett & C. Gao & K. Kuklane & J. Petersson & A. Halder & M. Zuurbier & S. W. Garland & L. Nybo, 2021. "ClimApp—Integrating Personal Factors with Weather Forecasts for Individualised Warning and Guidance on Thermal Stress," IJERPH, MDPI, vol. 18(21), pages 1-26, October.
    3. Kalev Kuklane & Róbert Toma & Rebekah A.I. Lucas, 2020. "Insulation and Evaporative Resistance of Clothing for Sugarcane Harvesters and Chemical Sprayers, and Their Application in PHS Model-Based Exposure Predictions," IJERPH, MDPI, vol. 17(9), pages 1-12, April.
    4. Letian Li & Boyang Sun & Zhuqiang Hu & Jun Zhang & Song Gao & Haifeng Bian & Jiansong Wu, 2022. "Heat Strain Evaluation of Power Grid Outdoor Workers Based on a Human Bioheat Model," IJERPH, MDPI, vol. 19(13), pages 1-17, June.

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