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本文将经验正交函数法与随机动态方法结合起来，分析了中国沿岸５个站的海平面变化。由于空间本征函数在短时间可认为不变，用随机动态方法分析各主要时间本征函数，最后采用非线性最小二乘法求出各主要时间本征函数的线性增长速率，分别乘上相应的空间本征函数便得到各站的相对海面线性增长速率，对未来的时间本征函数作出预报，从而得到未来的平均海面预报值。各站均衡基准下的海平面线变速率平均为０．２４ｃｍ／ａ．
In this paper, the empirical orthogonal function method and the stochastic dynamic method are combined to analyze the sea level changes of five stations along the coast of China. Since the eigenfunction of space can be regarded as invariant in a short time, the main time eigenfunctions are analyzed by stochastic dynamic method. Finally, the linear growth rate of eigenfunctions of each major time is obtained by nonlinear least square method, multiplied by the corresponding The spatial eigenfunctions give the relative sea surface linear growth rates of each station, and predict the future time eigenfunctions to obtain the average forecast value of the sea surface in the future. The average sea level velocities under each station equilibrium standard are 0.24cm / a.