Literature DB >> 21656016

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

Agnes Psikuta1, Dusan Fiala, Gudrun Laschewski, Gerd Jendritzky, Mark Richards, Krzysztof Błażejczyk, Igor Mekjavič, Hannu Rintamäki, Richard de Dear, George Havenith.   

Abstract

The important requirement that COST Action 730 demanded of the physiological model to be used for the Universal Thermal Climate Index (UTCI) was its capability of accurate simulation of 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 the 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 a wide spectrum of climatic conditions. The UTCI-Fiala model predicted most reliably the average human thermal response, as shown by least deviations from physiologically plausible responses when compared to other models. In the second part of the study, this model was subjected to extensive validation using the 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-mean-square deviations of 1.35 ± 1.00°C and 0.32 ± 0.20°C, respectively.

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Year:  2011        PMID: 21656016     DOI: 10.1007/s00484-011-0450-5

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  19 in total

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Journal:  J Appl Physiol (1985)       Date:  1999-11

2.  The physiological equivalent temperature - a universal index for the biometeorological assessment of the thermal environment.

Authors:  P Höppe
Journal:  Int J Biometeorol       Date:  1999-10       Impact factor: 3.787

3.  Probability of survival during accidental immersion in cold water.

Authors:  Eugene H Wissler
Journal:  Aviat Space Environ Med       Date:  2003-01

4.  A physiological criterion for setting thermal environmental limits for everyday work.

Authors:  A R LIND
Journal:  J Appl Physiol       Date:  1963-01       Impact factor: 3.531

5.  UTCI-Fiala multi-node model of human heat transfer and temperature regulation.

Authors:  Dusan Fiala; George Havenith; Peter Bröde; Bernhard Kampmann; Gerd Jendritzky
Journal:  Int J Biometeorol       Date:  2011-04-19       Impact factor: 3.787

6.  Quantifying the effects of clothing for models of human response to the thermal environment.

Authors:  R A Haslam; K C Parsons
Journal:  Ergonomics       Date:  1988-12       Impact factor: 2.778

7.  Individualized model of human thermoregulation for the simulation of heat stress response.

Authors:  G Havenith
Journal:  J Appl Physiol (1985)       Date:  2001-05

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Authors:  J D Hardy; J A Stolwijk
Journal:  J Appl Physiol       Date:  1966-11       Impact factor: 3.531

9.  Human projected area factors for detailed direct and diffuse solar radiation analysis.

Authors:  K Kubaha; D Fiala; J Toftum; A H Taki
Journal:  Int J Biometeorol       Date:  2004-07-20       Impact factor: 3.787

10.  A physiological strain index to evaluate heat stress.

Authors:  D S Moran; A Shitzer; K B Pandolf
Journal:  Am J Physiol       Date:  1998-07
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  23 in total

1.  The uncertainty of UTCI due to uncertainties in the determination of radiation fluxes derived from numerical weather prediction and regional climate model simulations.

Authors:  Stefan F Schreier; Irene Suomi; Peter Bröde; Herbert Formayer; Harald E Rieder; Imram Nadeem; Gerd Jendritzky; Ekaterina Batchvarova; Philipp Weihs
Journal:  Int J Biometeorol       Date:  2012-02-26       Impact factor: 3.787

2.  Prediction of human core body temperature using non-invasive measurement methods.

Authors:  Reto Niedermann; Eva Wyss; Simon Annaheim; Agnes Psikuta; Sarah Davey; René Michel Rossi
Journal:  Int J Biometeorol       Date:  2013-06-13       Impact factor: 3.787

3.  Deriving the operational procedure for the Universal Thermal Climate Index (UTCI).

Authors:  Peter Bröde; Dusan Fiala; Krzysztof Błażejczyk; Ingvar Holmér; Gerd Jendritzky; Bernhard Kampmann; Birger Tinz; George Havenith
Journal:  Int J Biometeorol       Date:  2011-05-31       Impact factor: 3.787

4.  Physiological responses to temperature and humidity compared to the assessment by UTCI, WGBT and PHS.

Authors:  Bernhard Kampmann; Peter Bröde; Dusan Fiala
Journal:  Int J Biometeorol       Date:  2011-02-20       Impact factor: 3.787

5.  UTCI-Fiala multi-node model of human heat transfer and temperature regulation.

Authors:  Dusan Fiala; George Havenith; Peter Bröde; Bernhard Kampmann; Gerd Jendritzky
Journal:  Int J Biometeorol       Date:  2011-04-19       Impact factor: 3.787

6.  The UTCI and the ISB.

Authors:  Gerd Jendritzky; Peter Höppe
Journal:  Int J Biometeorol       Date:  2017-06-20       Impact factor: 3.787

7.  Contribution of garment fit and style to thermal comfort at the lower body.

Authors:  Emel Mert; Sonja Böhnisch; Agnes Psikuta; Marie-Ange Bueno; René M Rossi
Journal:  Int J Biometeorol       Date:  2016-10-18       Impact factor: 3.787

8.  Comparison of fabric skins for the simulation of sweating on thermal manikins.

Authors:  Barbara Koelblen; Agnes Psikuta; Anna Bogdan; Simon Annaheim; René M Rossi
Journal:  Int J Biometeorol       Date:  2017-03-16       Impact factor: 3.787

9.  The SSC: a decade of climate-health research and future directions.

Authors:  D M Hondula; J K Vanos; S N Gosling
Journal:  Int J Biometeorol       Date:  2013-01-29       Impact factor: 3.787

10.  Validation of the thermophysiological model by Fiala for prediction of local skin temperatures.

Authors:  Natividad Martínez; Agnes Psikuta; Kalev Kuklane; José Ignacio Priego Quesada; Rosa María Cibrián Ortiz de Anda; Pedro Pérez Soriano; Rosario Salvador Palmer; José Miguel Corberán; René Michel Rossi; Simon Annaheim
Journal:  Int J Biometeorol       Date:  2016-05-25       Impact factor: 3.787

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