Thermal Indices and Thermophysiological Modeling for Heat Stress

热应力 环境科学 压力(语言学) 大气科学 物理 语言学 哲学
作者
George Havenith,Dusan Fiala
出处
期刊:Comprehensive Physiology [Wiley]
卷期号:6 (1): 255-302 被引量:247
标识
DOI:10.1002/cphy.c140051
摘要

The assessment of the risk of human exposure to heat is a topic as relevant today as a century ago. The introduction and use of heat stress indices and models to predict and quantify heat stress and heat strain has helped to reduce morbidity and mortality in industrial, military, sports, and leisure activities dramatically. Models used range from simple instruments that attempt to mimic the human-environment heat exchange to complex thermophysiological models that simulate both internal and external heat and mass transfer, including related processes through (protective) clothing. This article discusses the most commonly used indices and models and looks at how these are deployed in the different contexts of industrial, military, and biometeorological applications, with focus on use to predict related thermal sensations, acute risk of heat illness, and epidemiological analysis of morbidity and mortality. A critical assessment is made of tendencies to use simple indices such as WBGT in more complex conditions (e.g., while wearing protective clothing), or when employed in conjunction with inappropriate sensors. Regarding the more complex thermophysiological models, the article discusses more recent developments including model individualization approaches and advanced systems that combine simulation models with (body worn) sensors to provide real-time risk assessment. The models discussed in the article range from historical indices to recent developments in using thermophysiological models in (bio) meteorological applications as an indicator of the combined effect of outdoor weather settings on humans.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
AL完成签到,获得积分10
1秒前
1秒前
1秒前
2秒前
2秒前
PeterLin完成签到,获得积分10
3秒前
4秒前
李健的粉丝团团长应助ztc采纳,获得10
4秒前
现在拨打发布了新的文献求助10
5秒前
赶路的Phd发布了新的文献求助10
5秒前
6秒前
小杨小杨发布了新的文献求助30
6秒前
DR完成签到,获得积分10
7秒前
222666完成签到,获得积分10
7秒前
Jonathan发布了新的文献求助10
7秒前
无花果应助111采纳,获得10
9秒前
cc发布了新的文献求助30
9秒前
冷静金毛完成签到,获得积分10
10秒前
10秒前
舒适凌青发布了新的文献求助30
10秒前
思源应助风清扬采纳,获得10
11秒前
CMUSK发布了新的文献求助10
12秒前
刘期岜完成签到 ,获得积分20
13秒前
14秒前
15秒前
伊帕尔发布了新的文献求助10
15秒前
石友瑶完成签到,获得积分10
16秒前
刀刀完成签到 ,获得积分20
16秒前
16秒前
17秒前
cc完成签到,获得积分10
17秒前
小马甲应助lqr采纳,获得10
18秒前
19秒前
今后应助鸣谦采纳,获得10
19秒前
你好啊发布了新的文献求助10
20秒前
石友瑶发布了新的文献求助10
21秒前
22秒前
22秒前
北晨与风完成签到,获得积分10
22秒前
ZcLee完成签到,获得积分10
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6366180
求助须知:如何正确求助?哪些是违规求助? 8180082
关于积分的说明 17244573
捐赠科研通 5420962
什么是DOI,文献DOI怎么找? 2868279
邀请新用户注册赠送积分活动 1845413
关于科研通互助平台的介绍 1692909