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内河河口建设航电枢纽预评价
引用本文:侯志强,孔令磊.内河河口建设航电枢纽预评价[J].中国港湾建设,2009(4):19-21.
作者姓名:侯志强  孔令磊
作者单位:1. 交通部水运科学研究院,北京,100088
2. 中交一航局第一工程有限公司,天津,300456
基金项目:西部交通建设科技项目 
摘    要:在支流入汇河口地区建设航电枢纽既有一般枢纽普遍存在的共性问题,又有支流人汇对于流壅水顶托的影响,这种影响是一个非线形动力学过程。以某河段拟建航电枢纽为例,借助神经网络处理非线形问题的优势,利用实测水文资料作为学习样本,建立了预测枢纽尾水位的BP数学模型。用该模型预测了枢纽三种调水方式下枢纽上、下游的水位落差,评价了枢纽建成后支流入汇对枢纽的出力、泄流能力和通航等方面的影响,为工程设计提供了依据。

关 键 词:汇流  航电枢纽  神经网络  预测模型

Pre-evaluation on Building Hydro-junctions in the River Estuary Region
HOU Zhi-qiang,KONG Ling-lei.Pre-evaluation on Building Hydro-junctions in the River Estuary Region[J].China Harbour Engineering,2009(4):19-21.
Authors:HOU Zhi-qiang  KONG Ling-lei
Institution:1.Waterborne Transportation Institute;Beijing 100088;China;2.No.1 Engineering Company Ltd.of CCCC First Harbor Engineering Company Ltd.;Tianjin 300456;China
Abstract:Building hydro-junctions in the river estuary region has not only the common problems of general hydro-junctions,but also the technical difficulties on the influence of tributaries afflux.This effect is a non-linear dynamic process.Taking the influence of tributary to mainstream hydro-junction as an example,using the advantages of neural networks to deal with non-linear problems,a back propagation(BP) network model for predicting the influence is established based on measured hydrologic data.The model is ap...
Keywords:junction  hydro-junctions  neural network  prediction model  
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