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水文时间序列的代表性分析是水文频率计算的一项重要内容,水文频率分析成果的优劣在很大程度上取决于水文序列的代表性。目前对水文序列代表性分析仍缺乏有效的方法。本文尝试引入频谱分析法分析水文序列的代表性,根据频域中水文序列周期数,判断研究的序列是否含有丰、平、枯或大、中、小各特征量级的序列值,从而确定水文序列代表性的优劣。通过对实际测站年最高水位序列的频谱分析去判断其周期,由此推断该序列具有较高的代表性,其频率计算设计成果具有较高的精度。
The representative analysis of hydrological time series is an important part of hydrological frequency calculation. The advantages and disadvantages of hydrological frequency analysis are largely dependent on the representativeness of hydrological sequences. At present, there are still no effective methods for the representative analysis of hydrological sequences. In this paper, we attempt to analyze the representativeness of hydrological sequences by using spectrum analysis. According to the number of hydrological sequences in the frequency domain, we determine whether the sequences contain abundance, flatness, dryness or large, medium, and small feature order values, The pros and cons of sequence representation. Through the frequency analysis of the highest water level sequence of the actual station, the cycle is judged. The result shows that the sequence is highly representative, and the result of frequency calculation and design has higher accuracy.