水资源与水工程学报2017，Vol.28Issue(4)：6-12,7.DOI:10.11705/j.issn.1672-643X.2017.04.02
洞庭湖流域极端降水变化特征分析
Spatiotemporal characteristics analysis of extreme precipitation variations in Dongting Lake Basin
摘要
Abstract
With the increasing of the variability of extreme precipitation events, the extreme flood and drought events in the Dongting Lake Basin have already seriously threatened the harmony relationship of human and water.Based on the daily precipitation records of 28 national meteorological stations in the Dongting Lake Basin from 1961-2015, a threshold defined by the RClimDex model was used to identify extreme precipitation events.The methods of linear regression and ensemble empirical mode decomposition (EEMD) were employed to quantitatively analyze the temporal variability and spatial distribution of extreme precipitation indices.The intrinsic mode function (IMF) components of six extreme precipitation indices by EEMD in the Dongting Lake Basin reflect quasi-periodic periods of 3-6a, 8-15a and 21-27a.The results show that: the peak of extremely heavy precipitation occurred in June, and the extreme precipitation occurrenced during April to October, accounted for 82.7％ of the total annual rainfall.Nanyue and Anhua with a high incidence of extreme precipitation and all extreme precipitation indices showed a slight upward trend in the Dongting Lake Basin except for the number of consecutive wet days (CWD).The spatial distribution in the southeast of the basin showed a significant upward trend of extreme precipitation, which is affected by the mountainous topography.The study on the variation characteristics of extreme precipitation events in the Dongting Lake Basin will be of important reference value to the water resources utilization and water security early-warning.关键词
极端降水/时空特征/RClimDex模型/EEMD方法/洞庭湖流域Key words
extreme precipitation/spatiotemporal characteristics/RClimDex model/ensemble empirical mode decomposition (EEMD)/Dongting Lake Basin分类
建筑与水利引用本文复制引用
张卉,薛联青,刘远洪,迟艺侠..洞庭湖流域极端降水变化特征分析[J].水资源与水工程学报,2017,28(4):6-12,7.基金项目
国家自然科学基金项目(41371052、U1203282) （41371052、U1203282）
水利部公益性行业专项(201501059) （201501059）
江苏省"青蓝"工程及江苏省高校优秀中青年教师和校长境外研修项目 （）
2014年度"江苏省博士后科研资助计划"(1401095C) （1401095C）
