热应力指标的敏感性分析

IF 3 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES

Climate Pub Date : 2023-08-30 DOI:10.3390/cli11090181

A. Rachid, A.M. Qureshi

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引用次数: 0

摘要

世界各地正在使用40多项热指数来量化户外热舒适度。户外热应激指数（OHSI）的选择取决于几个参数，包括服装、年龄、意识、当地环境、食物消费、人类活动和资源。本研究调查了热应激的各种指标，包括（i）官方用于量化全球热应激的OHSI，（ii）这些指标的估计方法，以及（iii）指标的敏感性分析，即校正有效温度（CET）、热指数（HI）、全球湿球温度（WBGT）、通用热气候指数（UTCI）、不适指数（DI），Summer Simmer指数（SSI）和预测平均投票率（PMV）。结果表明了各指标的敏感性，其中HI对热应力的估计最为敏感。此外，WBGT、HI和CET是推荐的指数，可以使用传感器直接测量，而不是依赖于基于估计技术和一些理想物理假设的计算指数。

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Sensitivity Analysis of Heat Stress Indices

More than 40 heat indices are being used across the world to quantify outdoor thermal comfort. The selection of an Outdoor Heat Stress Index (OHSI) depends on several parameters, including clothing, age, awareness, local environment, food consumption, human activities, and resources. This study investigates various indicators of heat stress, including (i) OHSIs officially used to quantify heat stress worldwide, (ii) the estimation methods of these indices, and (iii) the sensitivity analysis of indices, namely, Corrected Effective Temperature (CET), Heat Index (HI), Wet Bulb Globe Temperature (WBGT), Universal Thermal Climate Index (UTCI), Discomfort Index (DI), Summer Simmer Index (SSI), and Predicted Mean Vote (PMV). The results indicate the degree of sensitivity of indices, with the HI being the most sensitive for estimating heat stress. Additionally, the WBGT, HI, and CET are recommended indices that can be directly measured using sensors instead of relying on calculated indices that are based on estimation techniques and some ideal physical assumptions.

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来源期刊

Climate Earth and Planetary Sciences-Atmospheric Science

CiteScore

5.50

自引率

5.40%

发文量

172

审稿时长

11 weeks

期刊介绍： Climate is an independent, international and multi-disciplinary open access journal focusing on climate processes of the earth, covering all scales and involving modelling and observation methods. The scope of Climate includes: Global climate Regional climate Urban climate Multiscale climate Polar climate Tropical climate Climate downscaling Climate process and sensitivity studies Climate dynamics Climate variability (Interseasonal, interannual to decadal) Feedbacks between local, regional, and global climate change Anthropogenic climate change Climate and monsoon Cloud and precipitation predictions Past, present, and projected climate change Hydroclimate.