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在海塘建设和工程设计中,将年最高潮位系列视为服从某一确定分布的随机变量,并以此为基础为海塘等工程建设提供设计参数。为确证年最高潮位不具有非随机特性,并提高频率分析法推求设计值的可信度,采用序列自相关系数、序列秩号相关系数、序列秩号和、序列秩号与序号的相关系数、序列游程数和序列转折点数等6种非参数假设检验的方法,分析了钱塘江河口8个水位站的年最高潮位系列的随机特性。实例分析的结果表明,提供的假设检验方法对分析水文时间序列的一致性具有实用意义。
In seawall construction and engineering design, the annual series of highest tide bits are treated as random variables subject to a certain distribution, and based on this, design parameters are provided for seawall construction. In order to verify that the annual highest tide level does not have non-random characteristics and improve the credibility of the design value by frequency analysis, the correlation coefficients of sequence autocorrelation coefficient, sequence rank number correlation coefficient, sequence rank number sum, sequence rank number and sequence number, Sequence run-length and sequence turning-point and other six kinds of non-parametric hypothesis testing methods were used to analyze the random characteristics of the annual highest tide series at the eight water level stations in the Qiantang River estuary. The results of the example analysis show that the provided hypothesis testing method is of practical significance for analyzing the consistency of hydrological time series.