A new environmental heat stress index for indoor hot and humid environments based on Cox regression

Liang, Chuanzhi; Zheng, Guozhong; Zhu, Neng; Tian, Zhe; Lu, Shilei; Chen, Ying

doi:10.1016/j.buildenv.2011.06.013

Cited by 63 publications

(52 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Short-term duration (hours) of exposure to heat while working may increase the incidence of heat exhaustion and heat stroke (Liang et al, 2011). However, long-term exposure (heat waves or seasonally high heat), even without working, may drastically increase morbidity and mortality (Kjellstrom et al, 2009a).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Implementation and comparison of a suite of heat stress metrics within the Community Land Model version 4.5

2015

View full text Add to dashboard Cite

Abstract. We implement and analyze 13 different metrics (4 moist thermodynamic quantities and 9 heat stress metrics) in the Community Land Model (CLM4.5), the land surface component of the Community Earth System Model (CESM). We call these routines the HumanIndexMod. We limit the algorithms of the HumanIndexMod to meteorological inputs of temperature, moisture, and pressure for their calculation. All metrics assume no direct sunlight exposure. The goal of this project is to implement a common framework for calculating operationally used heat stress metrics, in climate models, offline output, and locally sourced weather data sets, with the intent that the HumanIndexMod may be used with the broadest of applications. The thermodynamic quantities use the latest, most accurate and efficient algorithms available, which in turn are used as inputs to the heat stress metrics. There are three advantages of adding these metrics to CLM4.5: (1) improved moist thermodynamic quantities; (2) quantifying heat stress in every available environment within CLM4.5; and (3) these metrics may be used with human, animal, and industrial applications.We demonstrate the capabilities of the HumanIndexMod in a default configuration simulation using CLM4.5. We output 4× daily temporal resolution globally. We show that the advantage of implementing these routines into CLM4.5 is capturing the nonlinearity of the covariation of temperature and moisture conditions. For example, we show that there are systematic biases of up to 1.5 • C between monthly and ±0.5 • C between 4× daily offline calculations and the online instantaneous calculation, respectively. Additionally, we show that the differences between an inaccurate wet bulb calculation and the improved wet bulb calculation are ±1.5 • C. These differences are important due to human responses to heat stress being nonlinear. Furthermore, we show heat stress has unique regional characteristics. Some metrics have a strong dependency on regionally extreme moisture, while others have a strong dependency on regionally extreme temperature.

show abstract

Section: Introductionmentioning

confidence: 99%

“…Finally, we show that the metrics may also be used as model diagnostics. Liang et al (2011) The outline of the paper is as follows: Sect. 2 (Heat stress modeling) focuses on the development, calculation, and use of these 13 metrics.…”

Section: Introductionmentioning

confidence: 99%

Implementation and comparison of a suite of heat stress metrics within the Community Land Model version 4.5

2015

View full text Add to dashboard Cite

show abstract

“…Exposure to both high temperature and humidity generates occupational heat stress that can substantially affect people either working outdoors and in hot environments or engaged in physical activities (Lucas et al, 2014;Takahashi et al, 2007). This can undermine people's productivity and health, thus negatively impacting well-being and possibly the countries' economy (Chen et al, 2017;Kjellstrom et al, 2009;Liang et al, 2011). West Africa spans different climate zones with contrasting seasonal cycles (Diallo et al, 2014;Sylla, Elguindi, et al, 2016); it is densely populated, and it includes many economies in transition.…”

Section: Introductionmentioning

confidence: 99%

Projected Heat Stress Under 1.5 °C and 2 °C Global Warming Scenarios Creates Unprecedented Discomfort for Humans in West Africa

et al. 2018

View full text Add to dashboard Cite

Heat and discomfort indices are applied to the multimodel ensemble mean of COordinated Regional climate Downscaling EXperiment-Africa regional climate model projections to investigate future changes in heat stress and the proportion of human population at risk under 1.5°C and 2°C global warming scenarios over West Africa. The results show that heat stress of category Extreme Caution is projected to extend spatially (up to 25%) over most of the Gulf of Guinea, Sahel, and Sahara desert areas, with different regional coverage during the various seasons. Similarly, the projected seasonal proportion of human population at discomfort substantially increases to more than 50% over most of the region. In particular, in June-August over the Sahel and the western Sahara desert, new areas (15% of West Africa) where most of the population is at risk emerge. This indicates that from 50% to almost everyone over most of the Sahel countries and part of the western Sahara desert is at risk of possible heat cramp, heat exhaustion, and heat stroke in future climate scenarios. These conditions become more frequent and are accompanied by the emergence of days with dangerous heat stress category during which everyone feels discomfort and is vulnerable to a likely heat cramp and heat exhaustion. In general, all the above features are more extended and more frequent in the 2°C than in the 1.5°C scenario. Protective measures are thus required for outdoor workers, occupational settings in hot environments, and people engaged in strenuous activities.

show abstract

“…The survival time is usually defined as the interval from a particular starting time ("start" events) to a particular endpoint of interest ("end" events). The "start" events and the "end" events can be determined based on the study objective and professional knowledge [4].…”

Section: Survival Analysismentioning

confidence: 99%

“…Survival analyses, i.e., statistical methods used to analyse survival data, are usually concerned with the occurrence and the timing of events, such as child-bearing, death, divorce, discharge, symptom onset, criminal recidivism, unemployment and task completion [4,33]. The survival analysis method has been widely used in biomedical, social science, industry, business and other fields [34].…”

Section: Survival Analysismentioning

confidence: 99%

Influence of the temperature and relative humidity on human heat acclimatization during training in extremely hot environments

Shen

Zhu

2015

Building and Environment

Self Cite

View full text Add to dashboard Cite

A new environmental heat stress index for indoor hot and humid environments based on Cox regression

Cited by 63 publications

References 23 publications

Implementation and comparison of a suite of heat stress metrics within the Community Land Model version 4.5

Implementation and comparison of a suite of heat stress metrics within the Community Land Model version 4.5

Projected Heat Stress Under 1.5 °C and 2 °C Global Warming Scenarios Creates Unprecedented Discomfort for Humans in West Africa

Influence of the temperature and relative humidity on human heat acclimatization during training in extremely hot environments

Contact Info

Product

Resources

About