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机构地区:[1]四川大学水力学与山区河流开发保护国家重点实验室,成都610065
出 处:《应用气象学报》2009年第2期225-231,共7页Journal of Applied Meteorological Science
基 金:国家自然科学基金项目(50679094)资助
摘 要:考虑到山区水库库面气象要素受周围地形影响,结合前人的研究,库区气温计算方法采用回归余项法并计入地形影响,而对于库区水面上的太阳辐射计算,则采用了平行山脊坡地上的简化算法。应用结果表明:由经度、纬度、海拔高度和大地形影响等4项建立的多元线性回归气温方程拟合效果显著;并用同时期盐边气象站的资料进行检验,检验精度在0.5℃以内。与平地相比,在山区地形影响下的二滩库区水面太阳辐射有一定程度的改变量,同时不同河岸坡度对水库水面接收的太阳辐射有较大影响。该方法有效揭示了山区月平均温度和太阳辐射的时空变化。修正后的气温和太阳辐射符合山区实际情况。Taken the influence of a canyon reservoir surrounding terrain on meteorological factors into account, based on the previous research, the regression remainder method is used to calculate temperature including orographic influence. And a simplified algorithm is applied to calculate solar radiation on the slope land of parallel mountain ridge. Taking Ertan reservoir of Yalong River valley as example, the change regularity of temperature and solar radiation under terrain influence is studied. The river bank slope is about 30 de- gree, and the main trend of this reservoir is S--N. There are 8 observation stations around reservoir, pro- viding data of annual sunlight average percentage and the temperature. According to the terrain and the trend, Ertan reservoir is divided into 8 groups including 9 points from reservoir tail to reservoir head. Sup- pose that the temperature is divided into four revisal components-latitude, longitude, altitude and microto- pography, and the multivariate linear regression equation is applied to be fit. The equation is qualified be- cause that the value of F is over 35, and the multiple correlation coefficients are over 0.98. The results show that the parameter bl has negative value in the whole year, the temperature of each month decreases with the latitude increasing, and t its value is larger in winter and spring than that in summer and autumn and its annual variation is obvious; the second parameter b2 has positive value in the year except for May, June, September, and generally the temperature of each month increases with the longitude, and its annual amplitude is very large; the value of the last parameter ba keeps positive during the year, which means that the temperature of each month decreases with the altitude increasing, but its value is smaller compared with the parameter bl and b2. The application results show that the test precision could reach 0.5 ℃ by the multivariate regression equation, and the temperature data of Yanbian weather station in the same period of time has
分 类 号:P422.1[天文地球—大气科学及气象学]
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