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基于RAGA-Shepard模型的滦河大河口站年径流预测
引用本文:杜丹,李凤玲,朱仲元,周淑云.基于RAGA-Shepard模型的滦河大河口站年径流预测[J].中国农村水利水电,2011(2).
作者姓名:杜丹  李凤玲  朱仲元  周淑云
作者单位:1. 内蒙古农业大学水利与土木建筑工程学院,呼和浩特,010018
2. 呼和浩特土左旗水务局,呼和浩特,010100
基金项目:国家自然科学基金资助项目(50769005)
摘    要:应用基于RAGA的Shepard相似模型,在实测径流统计特性分析的基础上对内蒙古滦河上游主要测站大河口站的年径流进行了预测.为科学调度水资源,最大限度地满足各方面的用水需求,提供有效依据.

关 键 词:模拟  预测  径流变化  遗传算法

Dahekou Station of the Luanhe River Annual Runoff Forecast Based on Genetic Algorithm-shepard Model
DU Dan , LI Feng-ling , ZHU Zhong-yuan , ZHOU Shu-yun.Dahekou Station of the Luanhe River Annual Runoff Forecast Based on Genetic Algorithm-shepard Model[J].China Rural Water and Hydropower,2011(2).
Authors:DU Dan  LI Feng-ling  ZHU Zhong-yuan  ZHOU Shu-yun
Institution:DU Dan1,LI Feng-ling1,ZHU Zhong-yuan1,ZHOU Shu-yun2(1.College of Water Conservancy and Civil Architectural Engineering,Inner Mongolia Agricultural University,Huhhot 010018,China,2.Tuzuo Water Affairs Authority,Huhhot,Huhhot 010100,China)
Abstract:After studying the statistical runoff property of Dahekou Station of the Luanhe River,Shepard Interpolation Model based on the RAGA are established.The runoff forecast is realized.It provides the availability guidance for scientifically dispatching water resources and maximally satisfying the demands of water use in all aspects.
Keywords:simulation  prediction  runoff changes  genetic algorithm  
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