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Coupling Modeling Of Flood Control Standard And Waterlogging Control Standard Based On SVM

Posted on:2007-10-24Degree:MasterType:Thesis
Country:ChinaCandidate:Q XuFull Text:PDF
GTID:2132360182971871Subject:Municipal engineering
Abstract/Summary:PDF Full Text Request
The damages to an urban caused by either the flood or the waterlogging are the same. Therefore, the same standards for flooding control and waterlogging control should be applied in an urban. However, the department of water resources and the department of urban construction are responsible for the planning and the construction of urban flooding control and urban watelogging control respectively, meanwhile the hydrological computational methods for both are also different. As a consequences, the higher theurban flooding control standard is, the more frequent urban inuadations occur recently. In order to harmonize the urban flooding control standard and the urban waterlogging control standard, this paper develops a coupling modeling of two standards for different cities, and makes sure two standards could be alternated each other.Fristly, The existing problems of urban flood control and urban waterlogging control based on the investigation and statistical data are discussed, the computing methods of urban flood control and urban waterlogging control are introduced. Secondly, the coupling modeling of urban flood control standard and urban waterlogging control standard based on(Support Vector Machine,SVM) is developed, whose parameters, gamm and c, are opitimized by genetic algorithm. Finally, the modeling is applied to analysis the the relationships between urban flood control standard and urban waterlogging control standard of three cities in Zhejiang Province(TongXiang> WenZhou and LanXi) . The results show that the modeling has a good performance, as well as verify the feasibility of the modeling.
Keywords/Search Tags:Urban flood control standard, Urban waterlogging control standard, Coupling modeling, Support Vector Machine (SVM), Reoccurrence period
PDF Full Text Request
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