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天山乌鲁木齐河上游径流极值变化分析研究
引用本文:刘友存,霍雪丽,郝永红,焦克勤,韩添丁,刘彦,刘志方,刘灿. 天山乌鲁木齐河上游径流极值变化分析研究[J]. 冰川冻土, 2013, 35(5): 1248-1258. DOI: 10.7522/j.issn.1000-0240.2013.0141
作者姓名:刘友存  霍雪丽  郝永红  焦克勤  韩添丁  刘彦  刘志方  刘灿
作者单位:1. 天津师范大学 天津市水资源与环境重点实验室, 天津 300387;2. 中国水利水电科学研究院 流域水循环模拟与调控国家重点实验室, 北京 100038;3. 天津师范大学 城市与环境学院, 天津 300387;4. 中国科学院 寒区旱区环境与工程研究所, 甘肃 兰州 730000;5. 天津师范大学 数学科学学院, 天津 300387
基金项目:国家自然科学基金项目(41001006;41271035;41030527;41271083;41272245);中国博士后科学基金项目(20100480444);流域水循环模拟与调控国家重点实验室开放基金(IWHR-SKL-201107);天津师范大学人才引进基金项目(5RL085)资助
摘    要:以天山乌鲁木齐河上游作为研究对象, 结合乌鲁木齐河上游近50 a的实测月均径流变化资料, 对未来的月均径流进行了预测. 基于对重现水平的95%置信区间进行估计的结果表明, 乌鲁木齐河上游重现期为10 a、25 a、50 a和100 a的月均径流量极大值分别约为35.4 m3·s-1、39.9 m3·s-1、43.2 m3·s-1和46.3 m3·s-1;重现期为10 a、25 a、50 a和100 a的月均径流量极小值分别约为0.60 m3·s-1、0.43 m3·s-1、0.30 m3·s-1和0.18 m3·s-1. 在当前气候变化背景下, 乌鲁木齐河上游在2058年前后枯水期时可能发生断流现象. 该研究对乌鲁木齐河径流变化预测具有重要意义.

关 键 词:广义Pareto分布  重现期  径流变化  径流极值  乌鲁木齐河  
收稿时间:2013-02-17
修稿时间:2013-05-13

A Study of the Variation of Extreme Runoff in the Upstream of the Ürümqi River,Tianshan Mountains
LIU You-cun,HUO Xue-li,HAO Yong-hong,JIAO Ke-qin,HAN Tian-ding,LIU Yan,LIU Zhi-fang,LIU Can. A Study of the Variation of Extreme Runoff in the Upstream of the Ürümqi River,Tianshan Mountains[J]. Journal of Glaciology and Geocryology, 2013, 35(5): 1248-1258. DOI: 10.7522/j.issn.1000-0240.2013.0141
Authors:LIU You-cun  HUO Xue-li  HAO Yong-hong  JIAO Ke-qin  HAN Tian-ding  LIU Yan  LIU Zhi-fang  LIU Can
Abstract:Extreme value theory is the major means to deal with extreme events of small probability, which has been widely used in hydrology. In this paper, based on the theory and method of generalized Pareto distribution model, the extreme runoff in the upstream of the Ürümqi River, Tianshan Mountains was predicated. The results of different average runoff return levels, which contain 95% confidence intervals, indicate that the maximum average monthly runoff corresponding to 10 a, 25 a, 50 a and 100 a return period is 35.4 m3·s-1, 39.9 m3·s-1, 43.2 m3·s-1 and 46.3 m3·s-1, respectively, and the minimum average monthly runoff corresponding to 10 a, 25 a, 50 a and 100 a return period is 0.60 m3·s-1, 0.43 m3·s-1, 0.30 m3·s-1 and 0.18 m3·s-1, respectively, in the upstream of the Ürümqi River. Regarding the impact of present climate change, it is expected that the upstream of the river will dry up in the dry season around 2058. The results are only from the statistically significant associations. Of course, there are substantial uncertainties about the extreme runoff prediction.
Keywords:generalized Pareto distribution  return period  variation of runoff  extreme runoff  Ürümqi River  
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