针对室外热环境评价指标——湿球黑球温度在实测和数值计算中较难获得的问题,于夏季在湿热地区广州收集了空气干球温度、湿球温度、黑球温度、相对湿度、风速、太阳辐射和湿球黑球温度等数据,对收集的数据进行相关性分析和回归分析.相关性分析结果表明:空气温度、相对湿度、太阳辐射与湿球黑球温度具有一定的线性相关性,可以用作湿球黑球温度的简化计算参数;回归分析结果表明:回归的关联式与实测湿球黑球温度的相关性较高,并且满足多元线性回归的各项检验,因此具有较高的可信度,可以在城市热环境的实测评价和数值预测过程中,作为湿球黑球温度的简化计算方法来使用.
Wet bulb globe temperature (WBGT), an evaluation index of urban thermal environment, is difficult to measure and calculate via field observation and numerical simulation. In order to solve this problem, some data of the air dry bulb temperature, the wet bulb temperature, the globe temperature, the relative humidity, the air velocity, the solar radiation and the WBGT were collected in summer in Guangzhou. The data were then used to perform a correlation analysis and a regression analysis. The results of correlation analysis indicate that the dry bulb temperature, the relative humidity, the solar radiation and the WBGT are linearly interrelated to a certain degree, and that these four parameters can be used in the simplified model to predict WBGT. The results of regression analysis indicate that the regressive formula is highly related to the measured WBGT and well satisfies the checking indices of multiple linear regression. So the regressive formula is feasible in the field observation and simulation research of urban thermal environment, which can be used as a simplified model for calculating WBGT.