Thermal Environment Laboratory, Division of Ergonomics and Aerosol Technology, Department of Design Sciences, Lund University, Sölvegatan 26, 223 62, Lund, Sweden.
Department of Experimental Medical Science, Integrative Physiology, Lund University, Sölvegatan 19, 22184, Lund, Sweden.
Int J Biometeorol. 2023 Dec;67(12):1957-1964. doi: 10.1007/s00484-023-02553-w. Epub 2023 Oct 14.
The ClimApp smartphone application was developed to merge meteorological forecast data with personal information for individualized and improved thermal warning during heat and cold stress and for indoor comfort in buildings. For cold environments, ClimApp predicts the personal thermal stress and strain by the use of the Insulation REQuired model that combines weather and personal physiological data with additional consideration of the Wind Chill index based on the local weather forecast. In this study, we validated the individualized ClimApp index relative to measurements and compared it with the Universal Temperature Climate Index (UTCI). To this aim, 55 participants (27 females) were exposed to at least 1 h in an outdoor environment of 10 °C or below (average 1.4 °C air temperature, 74.9% relative humidity, and 4.7 m/s air velocity) inputting their activity level and clothing insulation as instructed by ClimApp. The UTCI and ClimApp indices were calculated and compared to the participants' perceived thermal sensation. The ClimApp index root mean square deviation (RMSD) was below the standard deviation of the perceived thermal sensation which indicates a valid prediction and the UTCI RMSD was higher than the standard deviation which indicates an invalid prediction. The correlation of ClimApp and UTCI to the perceived thermal sensation was statistically significant for both models.
ClimApp 智能手机应用程序旨在将气象预报数据与个人信息相结合，以在热压力和冷压力下进行个性化和改进的热警告，并在建筑物内提供室内舒适度。对于寒冷环境，ClimApp 通过使用结合天气和个人生理数据的保温要求模型来预测个人热应激和应变，并根据当地天气预报额外考虑风冷指数。在这项研究中，我们验证了相对于测量值的个性化 ClimApp 指数，并将其与通用温度气候指数（UTCI）进行了比较。为此，55 名参与者（27 名女性）在 10°C 或以下的户外环境中至少暴露 1 小时（平均空气温度为 1.4°C，相对湿度为 74.9%，空气速度为 4.7 m/s），并按照 ClimApp 的指示输入他们的活动水平和衣物保温。计算了 UTCI 和 ClimApp 指数，并将其与参与者的感知热感觉进行了比较。ClimApp 指数的均方根偏差（RMSD）低于感知热感觉的标准偏差，这表明预测有效，而 UTCI RMSD 高于标准偏差，这表明预测无效。对于这两种模型，ClimApp 和 UTCI 与感知热感觉的相关性均具有统计学意义。
