影响路面内部温度的气象指标研究

Meteorological index study on internal temperature of the road

采用SPSS统计分析软件,对温州市G104试验路段获取的路面温度和气象数据进行定量分析,研究了路面2cm深度处的温度和气象数据的变化规律。采用系统聚类分析和逐步回归的方法,从12个气象参数中筛选出可以表征地温变化规律的基本指标,并利用偏最小二乘回归法,建立了地温与基本指标的关系式。随机抽取一段时间内的气象数据和地温数据进行了验证。研究结果表明:空气温度、空气湿度、雨量及辐射累计值能反映路面2cm处地温的变化规律,为准确预测路面内部温度提供了条件。

SPSS statistics analyzing software was utilized to quantitatively analyze the road-surface temperature and the meteorological data obtained on the test section of Wenzhou G104 and thus to study the change rule of the temperature and the meteorological data gained at the depth of 2 cm into the road. The method of system cluster analysis and stepwise regression was adopted to select from multiple meteorological parameter basic indicators which could characterize the changing rule of ground temperature, and the relation between ground temperature and basic indicators was established by using partial least-squares regression method. Several sets of meteorological data and ground temperature data over a period of time were randomly chosen to make a verifica- tion, which showed that various regulation of ground temperature at the depth of 2 cm into the road could be reflected by the air temperature, air humidity, rainfall and cumulative radiation values. Through this analysis, the accurate prediction of internal temperature of the pavement was provided with conditions.