Objectives: The aim of this study was to analyse the thermal discomfort of outdoor environments in two climates of Iran using physiological equivalent temperature (PET), predicted mean vote (PMV) indices and Universal Thermal Climate Index (UTCI). Methods: In this study, the meteorological data recorded by the meteorological organisation in a 15-year period, including temperature, air velocity, cloudiness, relative humidity and water vapour pressure, in two different climates of Iran were surveyed. According to classification of the Koppen, Arak as a representative of a semi-arid and cold climate and Bandar Abbas as a representative of a hot and dry climate were used to calculate thermal indices. The PMV index was based on the ASHRAE 7-point thermal sensation scale, and the values of PMV and PET indices were extracted using Rayman1.2 software. The values of the UTCI were calculated using BioKlima 2.6 software. Results: The results showed that the maximum and minimum temperatures in two climates were related to July and January, respectively. In Arak, the means of the UTCI, PET and PMV indices were 14.41 ± 11.5, 15.81 ± 1.23 and −0.77 ± 2.15, respectively. In Bandar Abbas as well, the mean of the UTCI, PET and PMV indices were 22.56 ± 9, 22.73 ± 7.7 and 0.73 ± 7.7, respectively. In Arak, there was moderate heat stress to moderate cold stress in this region, whereas in Bandar Abbas, the days had a strong heat stress to low cold stress. There are very strong correlations between the indices used for two different climates. Conclusion: The bioclimatic comfort indices used were able to demonstrate the comfort and discomfort of people during different months of the year in two surveyed climates, and despite trivial differences, they provided relatively uniform representations of climate comfort for surveyed cities. Using thermal comfort indices, high-risk areas can be identified, and appropriate measures can be adopted to reduce the effects of the changes. © 2019 Royal Meteorological Society

中文翻译：

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在室外环境中使用 UTCI 和 MEMI（PET 和 PMV）进行热不适分析：伊朗两种气候的案例研究（Arak 和 Bandar Abbas）

目的：本研究的目的是使用生理等效温度 (PET)、预测平均投票 (PMV) 指数和通用热气候指数 (UTCI) 分析伊朗两种气候下室外环境的热不适。方法：本研究调查了气象组织在15年期间记录的伊朗两种不同气候下的气象数据，包括温度、风速、云量、相对湿度和水汽压。根据Koppen的分类，Arak作为半干旱和寒冷气候的代表，Bandar Abbas作为炎热和干燥气候的代表被用来计算热指数。PMV指数基于ASHRAE 7点热感觉量表，采用Rayman1.2软件提取PMV和PET指数值。UTCI 值使用 BioKlima 2.6 软件计算。结果：结果表明，两种气候的最高气温和最低气温分别与7月和1月有关。在阿拉克，UTCI、PET 和 PMV 指数的平均值分别为 14.41 ± 11.5、15.81 ± 1.23 和 -0.77 ± 2.15。在阿巴斯港，UTCI、PET 和 PMV 指数的平均值分别为 22.56 ± 9、22.73 ± 7.7 和 0.73 ± 7.7。在阿拉克，该地区有中度热应激到中度冷应激，而在阿巴斯港，白天有强热应激到低冷应激。用于两种不同气候的指数之间存在很强的相关性。结论：所使用的生物气候舒适度指数能够展示人们在一年中不同月份在两种调查气候下的舒适度和不适感，尽管差异很小，但它们为调查城市提供了相对统一的气候舒适度表示。使用热舒适指数，可以识别高风险区域，并可以采取适当的措施来减少变化的影响。© 2019 皇家气象学会