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根据宁波地区气象要素和草皮、砖块、沥青混凝土层、水泥混凝土层4种不同下垫面的表面温度资料,运用逐步回归统计分析方法,分析了4种下垫面表面极值温度与气象要素之间的关系,建立了各下垫面表面日最高和日最低温度的预测模型,并通过实测数据对预测模型进行了检验。结果表明:4种下垫面表面的日最高温度可表示为日最高气温、日太阳总辐射和风速的线性回归式;4种下垫面表面的日最低温度与日最低气温线性相关。模型预测值能较好地吻合实测温度。该模型可用于预测宁波地区草皮、砖块、沥青混凝土层、水泥混凝土层4种不同下垫面的极值温度,对水泥或沥青混凝土路表极值温度预测具有参考价值。
According to the meteorological elements and the surface temperature data of four different underlying surfaces of turf, brick, asphalt concrete and cement concrete in Ningbo area, stepwise regression statistical analysis was used to analyze the relationship between the surface temperature of the four underlying surfaces and the meteorological elements The forecasting models of daily maximum and daily minimum temperature of each underlying surface are established, and the forecasting models are tested by the measured data. The results show that the daily maximum temperature of the four kinds of underlying surfaces can be expressed as a linear regression equation of daily maximum solar radiation, total solar radiation and wind speed. The daily minimum temperatures of the four kinds of underlying surfaces are linearly correlated with the daily minimum temperature. The predicted values of the model can be in good agreement with the measured temperature. The model can be used to predict the extreme temperature of four different underlying surfaces of turf, bricks, asphalt concrete and cement concrete in Ningbo, which is of reference value for predicting the extreme temperature of cement or asphalt concrete road surface.