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DOI | 10.2166/wcc.2016.003 |
Hybrid method for assessing the multi-scale periodic characteristics of the precipitation–runoff relationship: A case study in the weihe river Basin; China | |
Guo A.; Chang J.; Huang Q.; Wang Y.; Liu D.; Li Y.; Tian T. | |
发表日期 | 2017 |
ISSN | 20402244 |
起始页码 | 62 |
结束页码 | 77 |
卷号 | 8期号:1 |
英文摘要 | Fully elucidating the precipitation–runoff relationship (PRR) is of great significance for better water resources planning and management and understanding hydrological cycle processes. For investigating the multi-scale PRR variability in the Weihe River basin in 1960–2010, a new hybrid method is proposed in which ensemble empirical mode decomposition (EEMD) and cross wavelet transform and wavelet transform coherence are used in combination. With the application of mutual information entropy, monthly precipitation and runoff are decomposed into two parts: high- (HFC) and low-frequency components (LFC). The results show that HFCs are characterized by inter- and intra-annual variations in precipitation and runoff, whereas LFCs display approximately two-year periodicity and contain abundant abnormal information of the raw data. Therefore, the PRR between HFCs exhibited significant correlations at the 95% confidence level over the whole time period. However, the correlations of the PRR between LFCs are not significant for many of the time-frequency domains. Additionally, the phase relations are disordered in these time-frequency domains, and no certain trend in phase angle variations can be identified. Through comparative analysis of the anthropogenic activities and climatic events with PRR variations, it can be concluded that the hybrid method can efficiently capture the PRR in various time-frequency domains. © IWA Publishing 2017. |
英文关键词 | Cross wavelet transform; Ensemble empirical mode decomposition; Hydrologic time series analysis; Multi-time scale variability; Precipitation–runoff relationship; Wavelet transform coherence |
语种 | 英语 |
scopus关键词 | Electric frequency control; Fluorocarbons; Runoff; Time series analysis; Water resources; Watersheds; Wavelet decomposition; Cross-wavelet transform; Ensemble empirical mode decomposition; Ensemble empirical mode decompositions (EEMD); Hydrologic time series; Low-frequency components; Multi-time scale; Precipitation and runoff; Water resources planning and managements; Wavelet transforms; correlation; hydrological cycle; periodicity; precipitation intensity; rainfall-runoff modeling; temporal variation; time series analysis; China; Wei Basin |
来源期刊 | Journal of Water and Climate Change
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/148117 |
作者单位 | State Key Laboratory Base of Eco-hydraulic Engineering in Arid Area, Xi’an University of Technology, Xi’an, 710048, China |
推荐引用方式 GB/T 7714 | Guo A.,Chang J.,Huang Q.,等. Hybrid method for assessing the multi-scale periodic characteristics of the precipitation–runoff relationship: A case study in the weihe river Basin; China[J],2017,8(1). |
APA | Guo A..,Chang J..,Huang Q..,Wang Y..,Liu D..,...&Tian T..(2017).Hybrid method for assessing the multi-scale periodic characteristics of the precipitation–runoff relationship: A case study in the weihe river Basin; China.Journal of Water and Climate Change,8(1). |
MLA | Guo A.,et al."Hybrid method for assessing the multi-scale periodic characteristics of the precipitation–runoff relationship: A case study in the weihe river Basin; China".Journal of Water and Climate Change 8.1(2017). |
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