中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地理科学与资源研究所
  3. 中国科学院地理科学与资源研究所
Moving correlation coefficient-based method for jump points detection in hydroclimate time series

文献类型：期刊论文

作者Wu, Ziyi2; Xie, Ping2,3; Sang, Yan-Fang1; Chen, Jie2; Ke, Wei2; Zhao, Jiangyan2; Zhao, Yuxi4
刊名STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
出版日期2019-10-01
卷号33期号:10页码:1751-1764
关键词Jump point Correlation analysis Significance evaluation Hydroclimatic process Upper-Mekong River
ISSN号1436-3240
DOI10.1007/s00477-019-01727-6
通讯作者Xie, Ping(pxie@whu.edu.cn) ; Sang, Yan-Fang(sangyf@igsnrr.ac.cn)
英文摘要The jump points detection is critical to the understanding of hydrologic variability, especially in investigating the anthropogenic effects. Conventional methods are mainly statistical and cannot directly reflect the jump change degrees. This article proposes a moving correlation coefficient-based detection (MCCD) method for the detection of jump points (JPs) in hydroclimate data. The correlation coefficient (CC) between the potential jump component and the original data is calculated, and the CC series is realized by moving from the starting to the ending points of the original time series. Bigger CC value reflects higher jump degree; the position with the biggest absolute CC value is the JP that is the most expected. Its significance is evaluated by comparing its value with the CC threshold value at the relevant significance level. Monte-Carlo experimental results verify the MCCD method's higher efficiency compared with four commonly used conventional methods. It is especially noteworthy that the results indicate its stable efficiency, even when encountering the influences of some unfavorable factors. By applying the MCCD method to the Lancang River Basin, the JP of runoff in 2004 is detected at the Yunjinghong station in the lower reach. It is mainly attributed to the construction and operation of some major water hydropower projects, while the stable variations of areal precipitation and actual evapotranspiration, as well as the stable land-cover conditions, contribute little to the abrupt decrease in runoff. The MCCD method can be an effective alternative for the detection of JPs in hydroclimate data.
WOS关键词ABRUPT CHANGES ; WATER-BALANCE ; MEKONG RIVER ; EL CHICHON ; PRECIPITATION ; RUNOFF ; BASIN ; VARIABILITY ; ERUPTIONS
资助项目National Natural Science Foundation of China[91547205] ; National Natural Science Foundation of China[91647110] ; National Natural Science Foundation of China[51579181] ; National Natural Science Foundation of China[51779176] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA20060402] ; Youth Innovation Promotion Association CAS[2017074]
WOS研究方向Engineering ; Environmental Sciences & Ecology ; Mathematics ; Water Resources
语种英语
WOS记录号WOS:000491084300006
出版者SPRINGER
资助机构National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Youth Innovation Promotion Association CAS
源URL[http://ir.igsnrr.ac.cn/handle/311030/129786]  
专题中国科学院地理科学与资源研究所
通讯作者Xie, Ping; 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 100101, Peoples R China
2.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China
3.Collaborat Innovat Ctr Terr Sovereignty & Maritim, Wuhan 430072, Hubei, Peoples R China
4.Southwest Branch State Grid, Chengdu 610000, Sichuan, Peoples R China
推荐引用方式
GB/T 7714		 Wu, Ziyi,Xie, Ping,Sang, Yan-Fang,et al. Moving correlation coefficient-based method for jump points detection in hydroclimate time series[J]. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,2019,33(10):1751-1764.
APA Wu, Ziyi.,Xie, Ping.,Sang, Yan-Fang.,Chen, Jie.,Ke, Wei.,...&Zhao, Yuxi.(2019).Moving correlation coefficient-based method for jump points detection in hydroclimate time series.STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,33(10),1751-1764.
MLA Wu, Ziyi,et al."Moving correlation coefficient-based method for jump points detection in hydroclimate time series".STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 33.10(2019):1751-1764.

入库方式： OAI收割

来源：地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。