Wavelet-Based Hydrological Time Series Forecasting
文献类型：SCI/SSCI论文
| 作者 | Sang Y. F.; Singh, V. P.; Sun, F. B.; Chen, Y. N.; Liu, Y. ; Yang, M. Y.
|
| 发表日期 | 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 |
| 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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