Uniform discrete wavelet spectrum for detection of hydrologic variability at multiple timescales
文献类型：期刊论文
| 作者 | Sang, Yan-Fang1; Sivakumar, Bellie2; Zhu, Yanxin1,3 |
| 刊名 | JOURNAL OF HYDRO-ENVIRONMENT RESEARCH
 |
| 出版日期 | 2021-03-01 |
| 卷号 | 35页码:31-37 |
| 关键词 | Hydrologic variability Signal detection Discrete wavelet spectrum Periodicities Trend |
| ISSN号 | 1570-6443 |
| DOI | 10.1016/j.jher.2021.01.005 |
| 通讯作者 | Sang, Yan-Fang(sangyf@igsnrr.ac.cn) |
| 英文摘要 | Detecting the signals of hydrologic variability, including both periodicities and trends, at multi-timescales with evaluation of their statistical significance is one of the primary goals in hydrology studies, but it is also a challenging task. While the discrete wavelet spectrum (DWS) has been widely used to meet this purpose, it has limitations in practical applications, especially with the difficulty in detecting the spatial heterogeneity in hydrologic variability. In this study, a uniform DWS method is developed by determining the spectral values of the reference DWS, which are used as a uniform criterion for significance evaluation to identify hydrologic signals and compare their spatial heterogeneity. Application of the uniform DWS method to three annual runoff (and the corresponding precipitation) time series in the Yarlung Tsangpo River basin indicates that the significance of the runoff variability increases from down- to up-streams. It is shown that the uncertainty becomes large when the variability at small timescales is considered in short hydrologic time series. It is also demonstrated that hydrologic variability at long timescales usually tends to have a non-monotonic trend and that a monotonic trend would misrepresent the true underlying behavior. The uniform DWS method proposed here, by identifying the periodicities, non-monotonic and monotonic trend with significance evaluation, has the potential for a much wider use in hydrologic and climate sciences. |
| 资助项目 | National Key Research and Development Program of China[2019YFA0606903] ; Second Tibetan Plateau Scientific Expedition and Research Program (STEP)[2019QZKK0903] ; National Natural Science Foundation of China[41971040] ; National Natural Science Foundation of China[91647110] ; Youth Innovation Promotion Association CAS[2017074] ; CAS Interdisciplinary Innovation Team[JCTD201904] |
| WOS研究方向 | Engineering ; Environmental Sciences & Ecology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000637200700003 |
| 出版者 | ELSEVIER |
| 资助机构 | National Key Research and Development Program of China ; Second Tibetan Plateau Scientific Expedition and Research Program (STEP) ; National Natural Science Foundation of China ; Youth Innovation Promotion Association CAS ; CAS Interdisciplinary Innovation Team |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/161874]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Sang, Yan-Fang |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China 2.Indian Inst Technol, Dept Civil Engn, Mumbai 400076, Maharashtra, India 3.Univ Chinese Acad Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Sang, Yan-Fang,Sivakumar, Bellie,Zhu, Yanxin. Uniform discrete wavelet spectrum for detection of hydrologic variability at multiple timescales[J]. JOURNAL OF HYDRO-ENVIRONMENT RESEARCH,2021,35:31-37. |
| APA | Sang, Yan-Fang,Sivakumar, Bellie,&Zhu, Yanxin.(2021).Uniform discrete wavelet spectrum for detection of hydrologic variability at multiple timescales.JOURNAL OF HYDRO-ENVIRONMENT RESEARCH,35,31-37. |
| MLA | Sang, Yan-Fang,et al."Uniform discrete wavelet spectrum for detection of hydrologic variability at multiple timescales".JOURNAL OF HYDRO-ENVIRONMENT RESEARCH 35(2021):31-37. |
入库方式： OAI收割
来源：地理科学与资源研究所
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