Wavelet-Based Hydrological Time Series Forecasting
Date
2016-02-12Metadata
Show full item recordAbstract
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.
Subject
Hydrological forecastingArtificial intelligence modeling
Wavelet analysis
Temporal scale
Hydrological time series analysis
Statistical significance
Department
Biological and Agricultural Engineering (College of Agriculture and Life Sciences)Collections
Citation
Chen, Yaning; Liu, Yong; Sang, Yan-Fang; Singh, Vijay P.; Sun, Fubao; Yang, Moyuan (2016). Wavelet-Based Hydrological Time Series Forecasting. Available electronically from https : / /hdl .handle .net /1969 .1 /164680.