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A Numerical Model for Predicting Road Surface Temperature in the Highway

机译：预测公路路面温度的数值模型

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Based on the surface energy balance method, a road surface temperature prediction model is established using solar shortwave radiation, longwave radiation, sensible and latent heat fluxes,and surface heat flux. The numerical model for the prediction of road surface temperature has been tested on data from two road stations in the summer and winter.Observations from the Luilongguan and Yangfang staions in the highway are used to compare with the model simulations.The results show that the road surface temperature predictions are well correlated with the observations under the three weather conditions (sunny, cloudy, overcasfj.Correlation coefficients are higher than 0.90. It is relatively low in rainy and snowy conditions. The results are generally encouraging and indicate that the road surface temperature prediction model has a good performance.
机译：基于表面能平衡方法，使用太阳能短波辐射，长波辐射，明智和潜热通量和表面热通量建立路面温度预测模型。在夏季和冬季的两条公路站预测路面温度的数值模型已经测试了来自两辆公路站的数据。从路路中的陆龙瓜和阳芳排位于高速公路中的应用，用于与模型模拟进行比较。结果表明道路表面温度预测与三个天气条件下的观察结果良好（晴朗，多云，过度，overcasfj.corlelation系数高于0.90。在多雨和雪的条件下相对较低。结果通常令人鼓舞并表明路面温度预测模型具有良好的性能。

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