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A method to identify individually physiological response differences to heat exposure using Comprehensive Deviation Coefficient (CDC).

Authors :
Li, Yongqiang
Du, Chenqiu
Yao, Runming
Li, Guoqing
Li, Baizhan
Source :
Energy & Buildings. Jun2020, Vol. 217, pN.PAG-N.PAG. 1p.
Publication Year :
2020

Abstract

l Predicting heat stress to climate change is needed at individual level. l A method of the Comprehensive Deviation Coefficient (CDC) is proposed. l Subjects' Tsk, Tre and HR to heat exposure are analyzed by multi-dimensional metrics. l Individual differences of physiological responses are quantified via CDC values. l High-risk hot environments and vulnerable individual are identified using CDC method. With increasing global warming, a method to identify individual heat exposure risk and conduct interventions is essential, in order to mitigate impacts of extreme climates on people's health. This paper aims to examine the differences of individual's physiological response in hot environments and consequently proposes a personal-based method to identify potentially vulnerable populations with high risk. A heat exposure experiment was carried out in a climate chamber to build datasets, with nine conditions combining air temperature (35 °C/38 °C/40 °C) and relative humidity (25%/40% /60%). The rectal temperature (Tre), skin temperature (Tsk) and heart rate (HR) of 10 subjects were monitored. Data were analyzed using multiple-dimensional metrics of average deviation(AD), coefficient of variation(CV) and skewness(SKEW). The study introduced the Moment of Inertia (MI) and the Simulated Mass System (MS) in a multidimensional coordinate system and developed a Comprehensive Deviation Coefficient (CDC) method. Using various combinations of AD/CV/SKEW, the values of CDC Tre , CDC Tsk , CDC HR were calculated; the high-risk thermal environment (40 °C/60%) and subject were thus identified. The proposed CDC method enables to distinguish the individual's physiological response differences, under different hot environments and personal characteristics. The equations in this method can be programed in computer and integrated with smart sensor technology, contributing to identify the high-risk environments and provide precautions for susceptible populations, to mitigate the heat exposure hazards on people' health and safety. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03787788
Volume :
217
Database :
Academic Search Index
Journal :
Energy & Buildings
Publication Type :
Academic Journal
Accession number :
142978187
Full Text :
https://doi.org/10.1016/j.enbuild.2020.110003