关键词: 高速公路, 路面温度, 气象要素, 逐步线性回归模型

Abstract:

Based on the hourly meteorological observation data from Maiji Mountain Tunnel and Wushaoling road automatic weather stations in Gansu section of Lian-Huo expressway, including pavement temperature, relative humidity, air temperature, dew-point temperature, wind speed and rainfall from April 2015 to March 2016, the difference and relation between pavement temperature and air temperature in different seasons and altitudes were analyzed statistically, and the correlations between pavement temperature and other meteorological factors were discussed. And on this basis the statistical models of pavement temperature were established by using stepwise linear regression method, the forecasted effects of models were tested. The results show that the expressway pavement temperature and air temperature at Maiji Mountain Tunnel and Wushaoling stations with different altitudes had obvious diurnal change characteristics, they rose rapidly after sunrise and dropped gradually after sunset in different seasons, and the change rate of pavement temperature was faster than that of air temperature. However, the pavement temperature in low altitude was higher than that in high altitude, and the time of maximum pavement temperature and their differences with different altitudes were obviously different in four seasons. Their pavement temperature differences in the nighttime of autumn and winter were greater than those in the daytime, while those in the nighttime and daytime of spring and summer were approximate. The forecasted pavement temperature by models was close to the observation, but the deviations between forecasted and observed values of maximum pavement temperature in a few days were great. Therefore, the forecasted results by models should be appropriately revised with consideration of real-time meteorological conditions and topography in actual forecast business.

Key words: expressway, pavement temperature, meteorological factors, stepwise linear regression model