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Validation of the Fiala multi-node thermophysiological model for UTCI application

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journal contribution
posted on 2012-01-25, 16:15 authored by Agnes Psikuta, Dusan Fiala, Gudrun Laschewski, Gerd Jendritzky, Mark Richards, Krzysztof Blazejczyk, Igor Mekjavic, Hannu Rintamaki, Richard de Dear, George Havenith
The important requirement that COST Action 730 demanded of the physiological model to be used for the Universal Thermal Climate Index was its capability of accurate simulation of the human thermophysiological responses across a wide range of relevant environmental conditions, such as conditions corresponding to the selection of all habitable climates and their seasonal changes, and transient conditions representing temporal variation of outdoor conditions. In the first part of this study available heat budget/two-node models and multi-node thermophysiological models were evaluated by direct comparison over the wide spectrum of climatic conditions. The UTCI-Fiala model predicted most reliably the average human thermal response which was showed by least deviations from physiologically plausible responses when compared to other models. In the second part of the study, this model was, therefore, subjected to extensive validation using results of human subject experiments for a range of relevant (steady-state and transient) environmental conditions. The UTCI-Fiala multi-node model proved its ability to predict adequately the human physiological response for a variety of moderate and extreme conditions represented in the COST 730 database. The mean skin and core temperatures were predicted with average root-meansquare deviations of 1.35 ± 1.00 °C and 0.32 ± 0.20 °C, respectively.

History

School

  • Design

Citation

PSIKUTA, A....et al., 2012. Validation of the Fiala multi-node thermophysiological model for UTCI application. International Journal of Biometeorology, 56 (3), pp.443-460

Publisher

Springer Verlag (© ISB)

Version

  • AM (Accepted Manuscript)

Publication date

2012

Notes

The original publication is available at www.springerlink.com

ISSN

0020-7128

Language

  • en