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	Wavelet-Based Hydrological Time Series Forecasting
	Sang Y. F.; Singh, V. P.; Sun, F. B.; Chen, Y. N.; Liu, Y.; Yang, M. Y.
	2016
关键词	Hydrological forecasting Artificial intelligence modeling Wavelet analysis Temporal scale Hydrological time series analysis Statistical significance neural-network models practical guide streamflow trends rivers
英文摘要	These days wavelet analysis is becoming popular for hydrological time series simulation and forecasting. There are, however, a set of key issues influencing the wavelet-aided data preprocessing and modeling practice that need further discussion. This article discusses four key issues related to wavelet analysis: discrepant use of continuous and discrete wavelet methods, choice of mother wavelet, choice of temporal scale, and uncertainty evaluation in wavelet-aided forecasting. The article concludes with a personal reflection on solving the four issues for improving and supplementing relevant wavelet studies, especially wavelet-based artificial intelligence modeling. (C) 2016 American Society of Civil Engineers.
出处	Journal of Hydrologic Engineering
卷	21
期	5
语种	英语
ISSN号	1084-0699
DOI标识	10.1061/(asce)he.1943-5584.0001347
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/42781]
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.,Singh, V. P.,Sun, F. B.,et al. Wavelet-Based Hydrological Time Series Forecasting. 2016.

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