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	A review on the applications of wavelet transform in hydrology time series analysis
	Sang Y. F.
	2013
关键词	Hydrologic time series analysis Wavelet transform Periodicity Trend De-noising Complexity Hydrologic forecasting multiscale entropy analysis artificial neural-networks information-theory noise-reduction rainfall fields trend analysis river flow model uncertainty multiresolution
英文摘要	In this paper, the wavelet transform methods were briefly introduced, and present researches and applications of them in hydrology were summarized and reviewed from six aspects. They include the wavelet aided multi-temporal scale analysis of hydrologic time series, wavelet aided deterministic component identification in hydrologic time series, wavelet aided de-noising of hydrologic time series, wavelet aided complexity quantification of hydrologic time series, wavelet cross-correlation analysis of hydrologic time series, and wavelet aided hydrologic time series simulation and forecasting. Finally, several personal opinions on the possible future researches of wavelet transform and its applications in hydrology were given from three aspects: methodical researches, further applications and combination. (C) 2012 Elsevier B.V. All rights reserved.
出处	Atmospheric Research
卷	122
页	8-15
收录类别	SCI
语种	英语
ISSN号	0169-8095
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/30290]
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	Sang Y. F.. A review on the applications of wavelet transform in hydrology time series analysis. 2013.

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