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基于MIKE11的三峡库区洪水演进模拟
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  • 英文篇名:Modeling of flood routing for Three Gorges reservoir area based on MIKE11
  • 作者:吴天蛟 ; 杨汉波 ; 李哲 ; 吕华芳 ; 杨大文
  • 英文作者:WU Tianjiao;YANG Hanbo;LI Zhe;LV Huafang;YANG Dawen;State Key Laboratory of Hydro-science and Engineering,Department of Hydraulic Engineering,Tsinghua University;
  • 关键词:水力学 ; 洪水演进 ; MIKE11 ; 三峡水库 ; 出库流量 ; 坝前水位
  • 英文关键词:hydraulic;;flood routing;;MIKE11;;The Three Gorges reservoir;;dam release;;water level at dam site
  • 中文刊名:SFXB
  • 英文刊名:Journal of Hydroelectric Engineering
  • 机构:清华大学水利水电工程系,水沙科学与水利水电工程国家重点实验室;
  • 出版日期:2014-04-25
  • 出版单位:水力发电学报
  • 年:2014
  • 期:v.33;No.145
  • 基金:水利部公益性行业科研专项经费项目(201101004);; 水沙科学与水利水电工程国家重点实验室开放基金资助项目(sklhse-2012-A-05)
  • 语种:中文;
  • 页:SFXB201402009
  • 页数:7
  • CN:02
  • ISSN:11-2241/TV
  • 分类号:55-61
摘要
建立三峡水利枢纽洪水预报系统,对工程经济效益的充分发挥及长江中下游的防洪减灾具有重大意义。本文针对三峡水利枢纽洪水预报系统中的库区洪水演进模拟部分进行研究:以MIKE11为基础,区间入流采用分布式水文模型模拟结果,分别采用控制三峡坝前水位和控制三峡出库流量两种边界条件建立模型。控制坝前水位的模拟结果显示,在2006-2011年汛期模拟的确定性系数均超过0.90,可以满足业务上对洪水预报的精度要求。控制出库流量的模拟经过实时校正后,对坝前水位峰值模拟效果良好,2010-2011年汛期平均模拟误差约0.25m。
        It is of great significance to establish a suitable flood forecasting system for the Three Gorges reservoir for the middle and lower reaches of the Yangtze River flood control and disaster mitigation and give full play to the economic benefits. The aim of this paper is to investigate the flood routing part of the flood forecasting system for the Three Gorges Reservoir. Two types of boundary conditions were proposed for different operation rules based on MIKE11. One is controlling the water level fluctuation at the dam site, and the other is controlling the dam release. Modeling during the flood season 2006 through 2011, all determinant coefficients of the results from the water level fluctuation controlling model are higher than 0.90, which means this model meets the accuracy evaluation criteria for flood forecasting. After real-time correction, the dam release controlling model also performed well. The average error between modeled and observed water levels is about 0.25m during the flood season from 2010 to 2011.
引文
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