Krüger E, Rossi F, Drach P
Departamento de Construção Civil, Campus Curitiba-Sede Ecoville, Universidade Tecnológica Federal do Paraná, Rua Deputado Heitor Alencar Furtado, 4900, Curitiba, PR, 81280-340, Brazil.
Universidade Tecnológica Federal do Paraná, Medianeira, Brazil.
Int J Biometeorol. 2017 Jul;61(7):1323-1336. doi: 10.1007/s00484-017-1310-8. Epub 2017 Feb 8.
In human biometeorology, the integration of several microclimatic variables as a combined index facilitates the understanding of how users perceive thermal environments. Indices, such as the physiological equivalent temperature (PET) index, translate the combined effects of meteorological variables on humans in terms of thermal stress or comfort and serve as important aids to climate-responsive urban and regional planning as well as heat stress and thermal comfort analyses. However, there is a need for adjusting proposed comfort/stress ranges of a given index when using it in different climatic contexts. The purpose of this study is to present a preliminary calibration procedure for the PET index for three different climatic regions: Curitiba, Brazil, a subtropical location; Rio de Janeiro, Brazil, a tropical city; and Glasgow, UK, a high-latitude location. Field studies have been carried out by the authors according to a similar protocol and using similar equipment, yielding actual thermal sensation votes and microclimate data, post-processed as PET data. The calibration procedure uses exclusively thermal sensation data as reported by pedestrians during outdoor comfort campaigns and concurrent microclimatic data recorded during the interviews. PET comfort/stress classes differ among the three locations and, in general, are less restrictive as in the original ranges proposed by the index developers.
在人类生物气象学中,将多个微气候变量整合为一个综合指数,有助于理解使用者对热环境的感知。诸如生理等效温度(PET)指数等指标,能将气象变量对人体的综合影响转化为热应激或舒适度方面的指标,对气候适应性城市和区域规划以及热应激和热舒适度分析起到重要辅助作用。然而,在不同气候环境下使用给定指数时,需要调整其建议的舒适度/应激范围。本研究的目的是针对三个不同气候区域提出PET指数的初步校准程序:巴西库里蒂巴,一个亚热带地区;巴西里约热内卢,一个热带城市;以及英国格拉斯哥,一个高纬度地区。作者们按照类似的方案并使用类似的设备进行了实地研究,得出了实际的热感觉投票结果和微气候数据,并将其处理为PET数据。校准程序仅使用行人在户外舒适度调查期间报告的热感觉数据以及访谈期间记录的同期微气候数据。PET舒适度/应激等级在这三个地点有所不同,总体而言,比指数开发者最初提出的范围限制更少。