Literature DB >> 17219153

Prediction of air temperature for thermal comfort of people in outdoor environments.

Jianhua Huang1.   

Abstract

Current thermal comfort indices do not take into account the effects of wind and body movement on the thermal resistance and vapor resistance of clothing. This may cause public health problem, e.g. cold-related mortality. Based on the energy balance equation and heat exchanges between a clothed body and the outdoor environment, a mathematical model was developed to determine the air temperature at which an average adult, wearing a specific outdoor clothing and engaging in a given activity, attains thermal comfort under outdoor environment condition. The results indicated low clothing insulation, less physical activity and high wind speed lead to high air temperature prediction for thermal comfort. More accurate air temperature prediction is able to prevent wearers from hypothermia under cold conditions.

Entities:  

Mesh:

Year:  2007        PMID: 17219153     DOI: 10.1007/s00484-006-0083-2

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.738


  17 in total

1.  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

2.  Thermal insulating capabilities of outdoor clothing materials.

Authors:  W C Kaufman; D Bothe; S D Meyer
Journal:  Science       Date:  1982-02-05       Impact factor: 47.728

3.  Wind-chill equations predicting whole-body heat loss for a range of typical civilian outdoor clothing ensembles.

Authors:  D P Wyon
Journal:  Scand J Work Environ Health       Date:  1989       Impact factor: 5.024

4.  Outdoor clothing: its relationship to geography, climate, behaviour and cold-related mortality in Europe.

Authors:  G C Donaldson; H Rintamäki; S Näyhä
Journal:  Int J Biometeorol       Date:  2001-02       Impact factor: 3.787

5.  Strength training increases resting metabolic rate and norepinephrine levels in healthy 50- to 65-yr-old men.

Authors:  R Pratley; B Nicklas; M Rubin; J Miller; A Smith; M Smith; B Hurley; A Goldberg
Journal:  J Appl Physiol (1985)       Date:  1994-01

6.  Pumping effects on thermal insulation of clothing worn by human subjects.

Authors:  J J Vogt; J P Meyer; V Candas; J P Libert; J C Sagot
Journal:  Ergonomics       Date:  1983-10       Impact factor: 2.778

7.  Quantifying the thermal protection characteristics of outdoor clothing systems.

Authors:  E A McCullough; F H Rohles
Journal:  Hum Factors       Date:  1983-04       Impact factor: 2.888

8.  A reanalysis of the factors influencing basal metabolic rate in normal adults.

Authors:  J J Cunningham
Journal:  Am J Clin Nutr       Date:  1980-11       Impact factor: 7.045

Review 9.  Nonexercise activity thermogenesis (NEAT): environment and biology.

Authors:  James A Levine
Journal:  Am J Physiol Endocrinol Metab       Date:  2004-05       Impact factor: 4.310

10.  Resting metabolic rate is lower in women than in men.

Authors:  P J Arciero; M I Goran; E T Poehlman
Journal:  J Appl Physiol (1985)       Date:  1993-12
View more
  5 in total

1.  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

2.  Effect of temperature difference between manikin and wet fabric skin surfaces on clothing evaporative resistance: how much error is there?

Authors:  Faming Wang; Kalev Kuklane; Chuansi Gao; Ingvar Holmér
Journal:  Int J Biometeorol       Date:  2011-02-12       Impact factor: 3.787

Review 3.  Review of the physiology of human thermal comfort while exercising in urban landscapes and implications for bioclimatic design.

Authors:  Jennifer K Vanos; Jon S Warland; Terry J Gillespie; Natasha A Kenny
Journal:  Int J Biometeorol       Date:  2010-02-15       Impact factor: 3.787

4.  Improved predictive ability of climate-human-behaviour interactions with modifications to the COMFA outdoor energy budget model.

Authors:  J K Vanos; J S Warland; T J Gillespie; N A Kenny
Journal:  Int J Biometeorol       Date:  2012-02-16       Impact factor: 3.787

5.  Effect of sunlight exposure on cognitive function among depressed and non-depressed participants: a REGARDS cross-sectional study.

Authors:  Shia T Kent; Leslie A McClure; William L Crosson; Donna K Arnett; Virginia G Wadley; Nalini Sathiakumar
Journal:  Environ Health       Date:  2009-07-28       Impact factor: 5.984

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.