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利用中国科学院禹城试验站的系列气象观测资料计算了逐日潜在腾发量（ＥＴＰ）。将日潜在腾发量系列分解为均值项和随机项两个部分，利用标准差对随机项进行了标准化处理。而后着重研究了标准化以后的随机序列的随机过程特征。首先，建立了该系列的离散的时间序列模型，然后在此基础上建立了相应的连续参数的随机模型，取得了该序列的理论概率分布密度和稳态概率分布密度，并得到了观测结果的验证，同时，还得到了该序列的自相关函数和谱密度函数的解析表达式，从而比较全面地分析了腾发量系列的随机过程特性。
The daily potential evapotranspiration (ETP) was calculated using a series of meteorological observations at the Yucheng Experimental Station, Chinese Academy of Sciences. The daily latent evapotranspiration series is decomposed into two parts: the mean term and the random term, and the stochastic terms are standardized by standard deviation. After that, we focus on the stochastic process characteristics of random sequences after normalization. First of all, a series of discrete time series models are established. Based on this, a stochastic model of continuous parameters is established. The theoretical probability distribution density and steady state probability density distribution of the series are obtained. At the same time, the analytical expression of the autocorrelation function and the spectral density function of the sequence is also obtained, so that the random process characteristics of the evapotranspiration series are analyzed more comprehensively.