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基于现代技术的河道浅滩演变研究 【作者】陈一梅 【导师】张东生

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基于现代技术河道浅滩演变研究水利论文Km/t fD ]EU#xQ5@

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【作者】陈一梅导师张东生
(T:G m u1D0【作者基本信息】河海大学,港口、海岸与近海工程,2002年,博士

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-p h _ }i0【中文摘要】 河道浅滩演变研究是河流动力学的重要组成部分,是水利学科的基础性课题,也是进行水利、水运工程规划、设计、管理和工程可行性研究的基础工作。作者结合工程实例,以现代科学技术手段研究河道浅滩演变,主要内容如下: 第一部分以RS技术为手段,建立闽江竹岐至侯官河段遥感信息与水深之间的数学模型。研究表明,用最低通航设计水位时的水域边界裁取研究水域,可消除边界点因水陆信息混合产生的误差,提高遥感水深精度。 第二部分对人工神经网络理论进行了简要概括,对BP网络的原理进行了分析。在分析影响河道浅滩演变因素的基础上,提出了基于BP神经网络的河道浅滩演变预测模型,分析并确定了模型的输入、输出因子,提出各因子的获取方法以及训练样本选取方法,并对BP网络设计进行了探讨。以闽江竹岐至侯官河段为实例,计算结果表明,模型预测结果与实际值吻合良好。这为河道浅滩演变预测研究提供了一种新方法。 第三部分对GIS与平面二维泥沙数学模型集成意义、问题和方法进行了分析。在此基础上,建立了基于GIS的泥沙数学模型,设计了两种模式数据交换的接口程序,探讨了泥沙模型计算域空间离散问题。最后成功地对闽江竹岐至侯官河段进行了整治工程效果预测...更多,所得结果被航道部门采用。 在第四部分的研究中,以VB和GIS为开发工具,针对闽江竹岐至侯官河段研究中的二种模型,集成开发了浅滩演变分析的模拟与预测系统,设计了系统的总体结构,探讨了系统功能和系统关键技术的实现。 本文各章不仅进行了理论研究,同时还结合交通部人材基金项目和闽江水口坝下航道整治项目和闽江航道信息管理系统项目进行了应用研究。本文的研究是对水利学科中浅滩演变预测研究的一次新探索,且具有很好的应用前景。  还原水利论文 f)e7v.q`

:c2sLz0A$q)b0【英文摘要】 Studying on river shoal evolution is a fundamental work in the science of water conservancy, water conservancy projects and waterways planning, designing, management and engineering feasibility. In this paper, river shoal evolution is studied by means of modern science and technique, combined with the real projects. Particular contents are presented as follow.In Part I , the mathematical model between remote sensing image spectral value and survey water-depth is built in Zhuqi-Houguan of Minjiang river by remote sensing (RS). It is proved that the error caused by mixing water-land information on boundary may be eliminated by choosing the research waters within the water boundary under designed lowest navigable stage, and the precision of remote water-depth of river may be enhanced.In Part II, the theory of artificial neural network (ANN) is introduced briefly, the principle of back propagation(BP) neural network is analyzed. River shoal evolution prediction models on a BP neural networ...更多k are established on analyzing factors affecting shoal evolution in a river, and input as well as output factors are determined by analyzing, the methods of obtaining these factors and selecting training samples are presented, and the designing of a BP network is also studied. The predicted result showed good agreement with field data in Zhouqi-Houguan of Minjiang river.In Part III, the significance, problem and methods of integrating plane 2-D sediment mathematical model with geographical information system (GIS) are discussed . The mathematical model based on GIS is built, and the interface program of data conversion between the two models is designed, and the spatial discretion of the computational domain is discussed. The model is used to predict the influence of regulation work on shoal evolution in Zhouqi-Houguan of Minjiang river, and the results are adopted by the department of responsibility conservancy.In Part IV, the system of simulating and predicting is developed by mean of a Visual Basic and GIS ,according to the two shoal evolution prediction models in Zhouqi-Houguan of Minjiang river. The general framework is designed, the schemes of some critical techniques of the platform such as data interface and model-creating techniques are presented, then the main functions and platform are outlined.The work in this paper is concerned with the theoretical method, combined with the projects of regulation work of waterway and management information system in Zhouqi-Houguan of Minjiang river. Efforts have been made to explore new route of studying shoal evolution in water conservancy discipline, it is expect to have a bright future in practical application.  还原

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4od;gT!P~%J5W0【中文关键词】 河床演变; 水深遥感; BP神经网络; 地理信息系统; 泥沙数学模型; OLE自动化; 闽江水利论文}/EE7W:l+j r#y x
【英文关键词】 riverbed evolution; water depth model using remote sensing; BP neural network; geographical information system; sediment mathematical model; OLE Automation; Minjiang river水利论文;|*GUC r.A

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TAG: 导师 河道 张东生 陈一梅 浅滩演变
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