Identification of the non-stationarity of extreme precipitation events and correlations with large-scale ocean-atmospheric circulation patterns: A case study in the Wei River Basin, China
文献类型：期刊论文
| 作者 | Liu, Saiyan1; Huang, Shengzhi1; Huang, Qiang1; Xie, Yangyang1; Leng, Guoyong2; Luan, Jinkai1; Song, Xiaoyu1; Wei, Xiu1; Li, Xiangyang3 |
| 刊名 | JOURNAL OF HYDROLOGY
 |
| 出版日期 | 2017-05-01 |
| 卷号 | 548页码:184-195 |
| 关键词 | Extreme precipitation Non-stationarity Heuristic segmentation method Change point Wei River Basin |
| ISSN号 | 0022-1694 |
| DOI | 10.1016/j.jhydrol.2017.03.012 |
| 通讯作者 | Huang, Shengzhi(huangshengzhi7788@126.com) |
| 英文摘要 | The investigation of extreme precipitation events in terms of variation characteristics, stationarity, and their underlying causes is of great significance to better understand the regional response of the precipitation variability to global climate change. In this study, the Wei River Basin (WRB), a typical ecoenvironmentally vulnerable region of the Loess Plateau in China was selected as the study region. A set of precipitation indices was adopted to study the changing patterns of precipitation extremes and the stationarity of extreme precipitation events. Furthermore, the correlations between the Pacific Decadal Oscillation (PDO)/El Nitio-Southern Oscillation (ENSO) events and precipitation extremes were explored using the cross wavelet technique. The results indicate that: (1) extreme precipitation events in the WRB are characterized by a significant decrease of consecutive wet days (CWD) at the 95% confidence level; (2) compared with annual precipitation, daily precipitation extremes are much more sensitive to changing environments, and the assumption of stationarity of extreme precipitation in the WRB is invalid, especially in the upstream, thereby introducing large uncertainty to the design and management of water conservancy engineering; (3) both PDO and ENSO events have a strong influence on precipitation extremes in the WRB. These findings highlight the importance of examining the validity of the stationarity assumption in extreme hydrological frequency analysis, which has great implications for the prediction of extreme hydrological events. (C) 2017 Elsevier B.V. All rights reserved. |
| WOS关键词 | NINO SOUTHERN-OSCILLATION ; WAVELET TRANSFORM ; GLOBAL ANALYSIS ; FLOOD RISK ; VARIABILITY ; RAINFALL ; TREND ; TEMPERATURE ; FREQUENCY ; UNCERTAINTY |
| 资助项目 | National Natural Fund Major Research Plan[91325201] ; National Natural Fund Major Research Plan[51190093] ; National Department Public Benefit Research Foundation of Ministry of Water Resources[201501058] ; National Major Fundamental Research Program[2011CB403306-2] ; Project of School of water resources and hydro-power of Xi'an University of Technology[2016ZZKT-15] |
| WOS研究方向 | Engineering ; Geology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000403739000015 |
| 出版者 | ELSEVIER SCIENCE BV |
| 资助机构 | National Natural Fund Major Research Plan ; National Department Public Benefit Research Foundation of Ministry of Water Resources ; National Major Fundamental Research Program ; Project of School of water resources and hydro-power of Xi'an University of Technology |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/63075]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Huang, Shengzhi |
| 作者单位 | 1.Xian Univ Technol, State Key Lab Base Ecohydraul Engn Arid Area, Xian 710048, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 3.Northwest Engn Corp Ltd, Xian 710065, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Saiyan,Huang, Shengzhi,Huang, Qiang,et al. Identification of the non-stationarity of extreme precipitation events and correlations with large-scale ocean-atmospheric circulation patterns: A case study in the Wei River Basin, China[J]. JOURNAL OF HYDROLOGY,2017,548:184-195. |
| APA | Liu, Saiyan.,Huang, Shengzhi.,Huang, Qiang.,Xie, Yangyang.,Leng, Guoyong.,...&Li, Xiangyang.(2017).Identification of the non-stationarity of extreme precipitation events and correlations with large-scale ocean-atmospheric circulation patterns: A case study in the Wei River Basin, China.JOURNAL OF HYDROLOGY,548,184-195. |
| MLA | Liu, Saiyan,et al."Identification of the non-stationarity of extreme precipitation events and correlations with large-scale ocean-atmospheric circulation patterns: A case study in the Wei River Basin, China".JOURNAL OF HYDROLOGY 548(2017):184-195. |
入库方式： OAI收割
来源：地理科学与资源研究所
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