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The Universal Thermal Climate Index UTCI Compared to Ergonomics Standards for Assessing the Thermal Environment
Open accessAbstract
The growing need for valid assessment procedures of the outdoor thermal environment in the fields of public weather services, public health systems, urban planning, tourism & recreation and climate impact research raised the idea to develop the Universal Thermal Climate Index UTCI based on the most recent scientific progress both in thermo-physiology and in heat exchange theory. Following extensive validation of accessible models of human thermoregulation, the advanced multi-node 'Fiala' model was selected to form the basis of UTCI. This model was coupled with an adaptive clothing model which considers clothing habits by the general urban population and behavioral changes in clothing insulation related to actual environmental temperature. UTCI was developed conceptually as an equivalent temperature. Thus, for any combination of air temperature, wind, radiation, and humidity, UTCI is defined as the air temperature in the reference condition which would elicit the same dynamic response of the physiological model. This review analyses the sensitivity of UTCI to humidity and radiation in the heat and to wind in the cold and compares the results with observational studies and internationally standardized assessment procedures. The capabilities, restrictions and potential future extensions of UTCI are discussed.
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Cites
Climate change 2007: the physical science basis
Solomon, S., Qin, D., Manning, M., Marquis, M. C., Averyt, K. B., Tignor, M., Miller, H. L., & Chen, Z. (2007) · Cited by 23,398
Climate Change 2007: The Physical Science Basis.
Schiavon, S., & Zecchin, R. (2007) · eScholarship (California Digital Library) · Cited by 16,994
Barker, T. J., Bashmakov, I., Bernstein, L., Bogner, J. R., Bosch, P. C., Dave, R., Davidson, O., Fisher, B. S., Grubb, M. J., Gupta, S. K., et al. (2007) · Socio-Environmental Systems Modeling · Cited by 9,160
Development and validation of the State Hope Scale.
Snyder, C. R. R., Sympson, S. C., Ybasco, F. C., Borders, T. F., Babyak, M. A., & Higgins, R. L. (1996) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.70.2.321 · Cited by 3,584
Deriving the operational procedure for the Universal Thermal Climate Index (UTCI)
Bröde, P., Fiala, D., Błażejczyk, K., Holmér, I., Jendritzky, G., Kampmann, B., Tinz, B., & Havenith, G. (2011) · International Journal of Biometeorology · doi:10.1007/s00484-011-0454-1 · Cited by 1,252
Self-citationUTCI—Why another thermal index?
Jendritzky, G., de Dear, R., & Havenith, G. (2012) · International Journal of Biometeorology · doi:10.1007/s00484-011-0513-7 · Cited by 1,162
Self-citationUTCI-Fiala multi-node model of human heat transfer and temperature regulation
Fiala, D., Havenith, G., Bröde, P., Kampmann, B., & Jendritzky, G. (2012) · International Journal of Biometeorology · doi:10.1007/s00484-011-0424-7 · Cited by 994
Self-citationKjellstrom, T., Holmer, I., & Lemke, B. (2009) · Global Health Action · doi:10.3402/gha.v2i0.2047 · Cited by 802
The Direct Impact of Climate Change on Regional Labor Productivity
Kjellstrom, T., Kovats, R. S., Lloyd, S. J., Holt, T., & Tol, R. S. J. (2009) · Archives of Environmental & Occupational Health · doi:10.1080/19338240903352776 · Cited by 448
Calculating Workplace WBGT from Meteorological Data: A Tool for Climate Change Assessment
LEMKE, B., & KJELLSTROM, T. (2012) · Industrial Health · doi:10.2486/indhealth.ms1352 · Cited by 394
Havenith, G., Fiala, D., Błazejczyk, K., Richards, M., Bröde, P., Holmér, I., Rintamaki, H., Benshabat, Y., & Jendritzky, G. (2012) · International Journal of Biometeorology · doi:10.1007/s00484-011-0451-4 · Cited by 350
Self-citationHeat Stress Standard ISO 7243 and its Global Application
Parsons, K. (2006) · Industrial Health · doi:10.2486/indhealth.44.368 · Cited by 345
THE NEW WIND CHILL EQUIVALENT TEMPERATURE CHART
Osczevski, R. J., & Bluestein, M. (2005) · Bulletin of the American Meteorological Society · doi:10.1175/bams-86-10-1453 · Cited by 325
Bröde, P., Krüger, E. L., Rossi, F. A., & Fiala, D. (2011) · International Journal of Biometeorology · doi:10.1007/s00484-011-0452-3 · Cited by 251
Self-citationThe effects of protective clothing on energy consumption during different activities
Dorman, L. E., & Havenith, G. (2008) · European Journal of Applied Physiology · doi:10.1007/s00421-008-0924-2 · Cited by 247
Self-citationDevelopment and validation of the predicted heat strain model
Malchaire, J., Piette, A., Kampmann, B., Mehnert, P., Gebhardt, H., Havenith, G., DenHartog, E., Holmér, I., Parsons, K., Alfano, G., et al. (2001) · The Annals of Occupational Hygiene · doi:10.1093/annhyg/45.2.123 · Cited by 210
Self-citationValidation of the Fiala multi-node thermophysiological model for UTCI application
Psikuta, A., Fiala, D., Laschewski, G., Jendritzky, G., Richards, M., Błażejczyk, K., Mekjavić, I. B., Rintamäki, H., de Dear, R., & Havenith, G. (2011) · International Journal of Biometeorology · doi:10.1007/s00484-011-0450-5 · Cited by 171
Self-citationProtective Clothing in Hot Environments
Holmér, I. (2006) · Industrial Health · doi:10.2486/indhealth.44.404 · Cited by 166
Apparent latent heat of evaporation from clothing: attenuation and “heat pipe” effects
Havenith, G., Richards, M. G. M., Wang, X., Bröde, P., Candas, V., DenHartog, E., Holmér, I., Kuklane, K., Meinander, H., & Nocker, W. (2007) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00612.2007 · Cited by 158
Self-citationThermal environment assessment reliability using temperature–humidity indices
d’AMBROSIO ALFANO, F. R., PALELLA, B. I., & RICCIO, G. (2011) · Industrial Health · doi:10.2486/indhealth.ms1097 · Cited by 149
Climate Change, Workplace Heat Exposure, and Occupational Health and Productivity in Central America
Kjellstrom, T. E., & Crowe, J. (2011) · International Journal of Occupational and Environmental Health · doi:10.1179/oeh.2011.17.3.270 · Cited by 116
The thermal environment of the human being on the global scale
Jendritzky, G., & Tinz, B. (2009) · Global Health Action · doi:10.3402/gha.v2i0.2005 · Cited by 107
Self-citationWeihs, P., Staiger, H., Tinz, B., Batchvarova, E., Rieder, H. E., Vuilleumier, L., Maturilli, M., & Jendritzky, G. (2011) · International Journal of Biometeorology · doi:10.1007/s00484-011-0416-7 · Cited by 97
Self-citationOccupational Heat Stress Assessment by the Predicted Heat Strain Model
MALCHAIRE, J. B. M. (2006) · Industrial Health · doi:10.2486/indhealth.44.380 · Cited by 96
Self-pacing as a protective mechanism against the effects of heat stress
Miller, V., Bates, G., Schneider, J. D., & Thomsen, J. (2011) · Annals of Occupational Hygiene · doi:10.1093/annhyg/mer012 · Cited by 94
Physiological responses to temperature and humidity compared to the assessment by UTCI, WGBT and PHS
Kampmann, B., Bröde, P., & Fiala, D. (2012) · International Journal of Biometeorology · doi:10.1007/s00484-011-0410-0 · Cited by 89
Self-citationWang, F., Kuklane, K., Gao, C., & Holmér, I. (2011) · Physiological Measurement · doi:10.1088/0967-3334/32/2/007 · Cited by 83
Self-citationDevelopment and validation of the predicted heat strain model
Malchaire, J. (2001) · The Annals of Occupational Hygiene · doi:10.1016/s0003-4878(00)00030-2 · Cited by 81
Evaluation of Cold Workplaces: An Overview of Standards for Assessment of Cold Stress
Holmér, I. (2009) · Industrial Health · doi:10.2486/indhealth.47.228 · Cited by 78
WBGT Clothing Adjustment Factors for Four Clothing Ensembles and the Effects of Metabolic Demands
Bernard, T. E., Caravello, V., Schwartz, S. W., & Ashley, C. D. (2007) · Journal of Occupational and Environmental Hygiene · doi:10.1080/15459620701732355 · Cited by 63
Climate change and occupational heat stress: methods for assessment
Holmér, I. (2010) · Global Health Action · doi:10.3402/gha.v3i0.5719 · Cited by 59
Assessment of cold stress in terms of required clothing insulation—IREQ
Holmér, I. (1988) · International Journal of Industrial Ergonomics · doi:10.1016/0169-8141(88)90017-0 · Cited by 55
Schreier, S. F., Suomi, I., Bröde, P., Formayer, H., Rieder, H. E., Nadeem, I., Jendritzky, G., Batchvarova, E., & Weihs, P. (2013) · International Journal of Biometeorology · doi:10.1007/s00484-012-0525-y · Cited by 27
Self-citationKampmann, B. (2003) · Cited by 12
Self-citation
Cited by
Sorted by citations
Kjellstrom, T., Briggs, D., Freyberg, C., Lemke, B., Otto, M., & Hyatt, O. (2016) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-032315-021740 · Cited by 617
Buzan, J., Oleson, K. W., & Huber, M. S. (2015) · Geoscientific model development · doi:10.5194/gmd-8-151-2015 · Cited by 294
Thermal Indices and Thermophysiological Modeling for Heat Stress
Havenith, G., & Fiala, D. (2015) · Comprehensive Physiology · doi:10.1002/cphy.c140051 · Cited by 262
Self-citationHeo, S., Bell, M. L., & Lee, J.-T. (2018) · Environmental Research · doi:10.1016/j.envres.2018.09.032 · Cited by 156
Kong, Q., & Huber, M. S. (2022) · Earth s Future · doi:10.1029/2021ef002334 · Cited by 141
Metadata
- Authors
- BR^|^Ouml;DE, P., BLAZEJCZYK, K., FIALA, D., HAVENITH, G., HOLM^|^Eacute;R, I., JENDRITZKY, G., KUKLANE, K., & KAMPMANN, B.
- Affiliations
- Leibniz Research Centre for Working Environment and Human Factors (DE)
- Loughborough University (GB)
- University of Freiburg (DE)
- Lund University (SE)
- University of Wuppertal (DE)
- Venue
- Industrial Health
- Published
- 2013
- Volume
- 51
- Issue
- 1
- Pages
- 16-24
- ISSN
- 0019-8366 (ISSN-L)
- 1880-8026
- OpenAlex
- W2136584032
- Cited by
- 171
- References
- 34
- Citations by year
- 2026: 20 · 2025: 21 · 2024: 22 · 2023: 15 · 2022: 19 · 2021: 17 · 2020: 7 · 2019: 8 · 2018: 9 · 2017: 10 · 2016: 5 · 2015: 12 · 2014: 4 · 2013: 2
- FWCI
- 0.84
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Industrial Health (publishedVersion)
- PubMed (publishedVersion)
- Loughborough University Institutional Repository (Loughborough University) (submittedVersion, cc-by-nc-nd)
- Loughborough University Research Repository (Loughborough University) (submittedVersion, cc-by-nc-nd)
- Lund University Publications (Lund University) (submittedVersion)
- Funders
- European Commission
- Topics
- Health Sciences › Medicine › Physiology (medical) › Thermoregulation and physiological responses
- Physical Sciences › Environmental Science › Environmental Engineering › Urban Heat Island Mitigation
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Climate Change and Health Impacts
- Keywords
- Universal Thermal Climate Index, outdoor thermal environment, human thermoregulation, clothing insulation, equivalent temperature, humidity effects, solar radiation effects, wind effects, ergonomic standards, thermal comfort assessment
- MeSH terms
- Body Temperature Regulation, Climate, Humans, Ergonomics, Meteorological Concepts, Models, Theoretical, Protective Clothing, Public Health, Thermosensing, Workplace, Heat Stress Disorders
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