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Complying with the demand of standardization in outdoor thermal comfort: a first approach to the Global Outdoor Comfort Index (GOCI)

机译:符合室外热舒适性标准化的要求:全球室外舒适性指数(GOCI)的第一种方法

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摘要

Over the past ten years the number of studies regarding outdoor thermal comfort has been progressively increasing. However, the existing works are characterized by a certain variety of instruments and methods. An example can be found in the indexes and evaluation scales used to estimate thermal perception. This is why this paper proposes the Global Outdoor Comfort Index (GOCI), which is obtained thanks to the combination of the empirical relations provided by the existing literature. Its independent variables are: air temperature (according to the reported F test value it is the most significant influencing parameter in the new proposed index), mean radiant temperature, relative humidity, wind velocity, latitude, mean annual temperature, mean temperatures of the hottest and coldest months. The index performances were compared to those of the Predicted Mean Vote (PMV), the Physiological Equivalent Temperature (PET), the Mediterranean Outdoor Comfort Index (MOCI) and the Universal Thermal Climate Index (UTCI) by means of an experimental field survey carried out in Rome (Italy). The GOCI reported a total percentage of correct predictions of 27.8%, higher than the PMV (27.7%), PET (25.4%) and UTCI (23.0%) but lower than the MOCI (32.2%). The higher predictive ability of this last index is due to the fact that it was specifically meant for the Mediterranean population. According to Spearman's rho measure of correlation and symmetrical measure of association Gamma calculations, the GOCI was the most sensitive index and it can be used to predict outdoor thermal comfort in areas devoid of studies about specific indexes.
机译:在过去的十年中,有关室外热舒适性的研究数量不断增加。但是,现有作品的特征是具有多种工具和方法。可以在用于估计热感知的指标和评估量表中找到一个示例。这就是为什么本文提出全球户外舒适指数(GOCI)的原因,该指数得益于现有文献提供的经验关系的结合。它的独立变量是:气温(根据报告的F测试值,它是新提议的指数中最重要的影响参数),平均辐射温度,相对湿度,风速,纬度,年平均温度,最热的平均温度最冷的几个月。通过进行实地调查,将指数表现与预测平均投票(PMV),生理等效温度(PET),地中海户外舒适指数(MOCI)和全球热气候指数(UTCI)的表现进行了比较。在罗马(意大利)。 GOCI报告的正确预测总数百分比为27.8%,高于PMV(27.7%),PET(25.4%)和UTCI(23.0%),但低于MOCI(32.2%)。最后一个指数具有较高的预测能力,这是因为它专门针对地中海人口。根据Spearman的相关rho度量和关联Gamma计算的对称度量,GOCI是最敏感的指标,可用于预测缺乏特定指标研究的区域的室外热舒适性。

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