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	Improved continuous wavelet analysis of variation in the dominant period of hydrological time series
	Wang D.
	2013
关键词	hydrological series analysis continuous wavelet transform wavelet basis function multi-temporal scale wavelet spectrum period trend change points maximum entropy spectral analysis de-noising entropy spectral-analysis decomposition identification transform threshold model
英文摘要	Two key issues of continuous wavelet transform (CWT), the choice of wavelet basis function and the determination of analytic procedure of CWT, were studied and approaches to solve them proposed. Then, the improved CWT method was used to reveal the periodic characteristics of several typical hydrological series, including runoff and precipitation data measured at diverse sampling rates. Finally, the results of periods identified by three methods were compared, and the variation of the first main period (FMP) with length of the annual hydrological series was investigated. The results indicate that hydrological time series show both global and local characteristics. Comparatively, the latter are more complicated and difficult to describe, because of their frequent manifestations of irregular phenomena. Moreover, the variation of FMP just reflects the complicated local characteristics of the hydrological series. In summary, this study improves the understanding of complicated hydrological processes, whereas description and simulation of the local characteristics of hydrological series should be the focus of future research.
出处	Hydrological Sciences Journal-Journal Des Sciences Hydrologiques
卷	58
期	1
页	118-132
收录类别	SCI
语种	英语
ISSN号	0262-6667
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/30287]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Wang D.. Improved continuous wavelet analysis of variation in the dominant period of hydrological time series. 2013.

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