首页> 外文期刊>International Journal of Biometeorology: Journal of the International Society of Biometeorology >Estimation of thermal comfort felt by human exposed to extreme heat wave in a complex urban area using a WRF-MENEX model
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Estimation of thermal comfort felt by human exposed to extreme heat wave in a complex urban area using a WRF-MENEX model

机译:使用WRF-Menex模型将人类暴露于复杂城区极端热波的热舒适感

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摘要

Thermal comfort could indicate human thermal sensation when exposed to a local meteorological condition. Because humans can suffer illness when exposed to heat or even die, it is essential to assess human comfort levels to increased temperature and to provide this information to the public. This study aims to estimate thermal comfort using the human heat balance model combined with a numerical meteorological model in Seoul mega city during the heat wave periods experienced during 2016. The gridded thermal comfort index of physiological subjective temperature (PST) was calculated based on the Man-Environment Heat Exchange (MENEX) model, which used as inputs the meteorological parameters, clothing insulations, and metabolic rates. High-resolution meteorological parameters were obtained by coupling Weather Research and Forecasting (WRF) model with Building Effect Parameterization (BEP) + Building Energy Model (BEM) using detailed urban classification. The modeling results showed that the PST distribution has a clearly heterogeneous spatial distribution during the heat wave period. The high PST values were largely found in the residential area during the day, due to the high temperature and low wind speed associated with high-density buildings, and the daily maximum PST reached a very hot level (44.1-54.0 degrees C). Our study suggested that the human heat balance model combined with the numerical meteorological model could be used to provide more reliable information about thermal comfort to groups that may be vulnerable to the effects of heat waves in complex urban environments.
机译:当暴露于局部气象状态时,热舒适性可能表示人的热敏。由于人类可以在暴露于热量甚至死亡时患有疾病,因为评估人类的舒适程度,以提高温度并向公众提供这些信息。本研究旨在使用人体热平衡模型在2016年经历的热浪时期与首尔兆瓦城的数值气象模型相结合的热舒适性。基于男人计算生理主观温度(PST)的网格热舒适度指数 - 环境热交换(Manex)模型,用作输入气象参数,服装绝缘和代谢率。使用详细的城市分类,通过耦合天气研究和预测(WRF)模型来获得高分辨率气象参数(BEP)+建筑能量模型(BEM)。建模结果表明,PST分布在热波期间具有明显的异质空间分布。由于与高密度建筑物相关的高温和低风速,在白天在居住区中发现了高PST值,并且每日最大PST达到非常热的水平(44.1-54.0℃)。我们的研究表明,人的热平衡模型与数值气象模型相结合可用于提供更可靠的关于热舒适的信息,以便可能容易受到复杂城市环境中热波效果的群体。

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