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根据二维流体动力学方程和深度平均盐度扩散方程在河口径流量以及蒸发和降水之差为已知情况下构成的闭合方程组,预报出深度平均盐度,然后利用底层盐度与深度平均盐度、水深和时间(月)之间的经验关系,给出底层盐度的二维预报。为了检验试报结果的可靠性,文中将黄渤海底层盐度的试报结果(197年7月11日,时效为3d)与标准断面观测资料(7月11日观测,124.5°E以西,共104站)作一粗略比较。比较表明,试报结果与实测值的相关系数为0.96,均方误差为σ=0.26,绝对误差小于0.2和0.3的站数分别占总站数的63.5×10-2和77.0×10-2,而总均绝差为0.19。由此可见,试报的效果是令人满意的。
According to the two-dimensional hydrodynamic equation and the depth-averaged salinity diffusion equation, closed-system equations consisting of the difference between the river runoff and the difference between evaporation and precipitation are known, and the average depth of salinity is predicted. Then, the average of salinity and depth Salinity, water depth and time (months) empirical relationship between the two-dimensional forecast of the underlying salinity. In order to test the reliability of test results, the test results of the salinity at the bottom of the Yellow Sea and the Bohai Sea (July 11, 1997, the aging time is 3d) and the standard cross-section observation data (observed on July 11, west of 124.5 ° E , A total of 104 stations) for a rough comparison. The comparison shows that the correlation coefficient between test results and measured values is 0.96, the mean square error is σ = 0.26, the number of stations whose absolute error is less than 0.2 and 0.3 respectively accounts for 63.5 × 10 -2 and 77.0 × 10 -2, respectively, while the total average difference was 0.19. This shows that the test results are satisfactory.