| 银川城市道路路面温度变化特征及统计模型 |
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| 引用本文： | 马筛艳,李剑萍,刘玉兰,张少波,缑晓辉.银川城市道路路面温度变化特征及统计模型[J].气象研究与应用,2012,33(1):48-51. |
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| 作者姓名： | 马筛艳 李剑萍 刘玉兰 张少波 缑晓辉 |
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| 作者单位： | 宁夏气象服务中心,宁夏银川,750002 |
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| 摘 要： | 采用人工定点观测路面温度资料,分析了不同天空状况和不同材质道路的路面温度日变化特征。结果表明：路面温度具有明显的日变化特征,晴空或少云时,日出和日落时段路面温度略高于气温,中午前后路面温度变幅最大,且明显高于气温;阴雨天时,路面温度略高于气温,变化相对平缓且与气温保持较好的相关性。由于水泥和沥青不同的物理特征,沥青路面对气温的反应灵敏,水泥路面反应平缓,即水泥路面最高温度多低于沥青路面,最低温度多高于沥青路面。在此基础上应用逐步回归方法建立逐时路面温度预报模型和最高道面温度预报模型,并应用模型模拟的结果与实测路面温度作对比分析,结果表明逐时道面温度预报模型的模拟效果较好,最高道面温度预报模型误差较大,需要进一步修正和改进。
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| 关 键 词： | 逐时路面温度 最高路面温度 回归分析 统计模型 |
Road Surface Temperature Variation and the Statistical Model in Yinchuan City |
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| Ma Shai-yan,Li Jian-ping,Liu Yu-lan,Zhang Shao-bo,Gou Xiao-hui.Road Surface Temperature Variation and the Statistical Model in Yinchuan City[J].Journal of Guangxi Meteorology,2012,33(1):48-51. |
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| Authors: | Ma Shai-yan Li Jian-ping Liu Yu-lan Zhang Shao-bo Gou Xiao-hui |
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| Institution: | (Ningxia Municipal Meteorological Services,Yinchuan Ningxia 750002) |
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| Abstract: | Basing on the road surface temperature information observed from artificial fixed-point,the road surface temperature variation under different sky conditions and over different materials was analyzed.The result shows that when it’s clear or partly cloudy(rainy),the road surface temperature is slightly higher than air temperature during sunrise and sunset(all day),with the road surface temperature variation amplitude is maximum around noon and significantly higher than the air temperature(relatively flat and a good correlation with the temperature maintained).Due to different physical characteristics of cement and asphalt,the highest(lowest) road temperature of the cement concrete is lower(higher) than that of asphalt.Then stepwise regression method was used to establish the hourly pavement temperature prediction model and the highest pavement temperature prediction model.The comparative analysis of the model simulation results with the measured surface temperature shows that the hourly pavement temperature prediction model is better.The highest pavement temperature prediction model with significant error needs for further amendments and improvements. |
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| Keywords: | hourly road surface temperature the highest road temperature regression analysis statistical model |
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