该方法通过频谱分析，可以计算出全局性的主要周期，从而反映出水文时间序列的整体特性。
By spectral analyzing, the overall period can be calculated, thus the holistic characteristics of hydrological time series can be reflected.
水文时间序列相似性查询可用于雨洪过程预测、环境演变分析、水文过程规律分析等方面。
Hydrological time series similarity search can be used for rainfall and flood forecasting, the analysis of environment evolvement and hydrological process, etc.
研究结果表明，小波变换是分析非平稳随机时间序列的有效工具，在水文水资源领域应用潜力很大。
The results indicate that the wavelet transform is an effective tool for nonstationary stochastic series analysis, which has great potential in hydrology and water resources research.
时间序列分析法在水文规律分析、水文模拟以及水文预报等许多方面都起着重要作用。
Time series analysis method is playing an important role in hydrologic regular analysis and hydrologic analogy as well as hydrologic forecasting and so forth.
本文从理论基础、实测样本计算和统计试验方法三个方面对水文时间序列的周期分析检测方法进行了分析研究。
This thesis discusses period analysis methods of hydrological time series, and compares them from theory, measured sample calculation and Monte-Ca.
在水文预测中，应用混沌分析方法需解决相空间重构、时间序列的混沌性识别和混沌时间序列预测等关键技术。
In hydrological prediction, it is necessary that t he reconstruction of chaotics Tate space and the diagnosis of chaotic behavior as well as the chaotic pre diction are solved.
在水文预测中，应用混沌分析方法需解决相空间重构、时间序列的混沌性识别和混沌时间序列预测等关键技术。
In hydrological prediction, it is necessary that t he reconstruction of chaotics Tate space and the diagnosis of chaotic behavior as well as the chaotic pre diction are solved.
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