以黄河下游利津站1950-2009年水沙通量月时间序列资料为研究对象,运用多种识别方法分别对黄河入海口水沙通量的全年、汛期及非汛期多尺度的趋势、变点及周期等综合特征进行识别.依据Mann-Kendall及Spearman方法分析水沙通量的趋势变化特征；采用小波分解与重构和有序聚类法进行水沙通量变点识别；利用小波变换进行水沙通量序列周期识别.结果表明,利津站黄河入海水沙通量不同尺度均呈现显著减少变化趋势,且存在1985、2002年显著变点,不同尺度的变化周期不同,不同水文要素周期识别结果不同.%Based on monthly water and sand flux data from Lijin Hydrological Station on the lower Yellow River from 1950 to 2009, a variety of methods were used to identify the trends, change points, and cycles of water and sand flux in multi-scale time series of a year, the flood season, and the non-flood season. The Mann-Kendall and Spearman methods were used to analyze the characteristics of the trend of water and sand flux. The wavelet decomposition and reconstruction and orderly clustering methods were used for identification of the change points of water and sand flux. The wavelet transform method was used to identify the cycle of water and sand flux." The results show that the water and sand flux into the sea decreased significantly at multiple scales at lijin Hydrological Station, there were two significant change points, in 1985 and 2002, and the results of cycle identification were different at multiple scales as well as with different hydrological factors.
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