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Estimation of synthetic flood design hydrographs using a distributedudrainfall–runoff model coupled with a copula-based single stormudrainfall generator

机译:使用分布式 ud估计合成洪水设计水文图降雨径流模型,结合基于copula的单次暴雨降雨发生器

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摘要

In this paper a procedure to derive synthetic flooduddesign hydrographs (SFDH) using a bivariate representationudof rainfall forcing (rainfall duration and intensity) via copulas,udwhich describes and models the correlation between twoudvariables independently of the marginal laws involved, coupledudwith a distributed rainfall–runoff model, is presented.udRainfall–runoff modelling (R–R modelling) for estimatingudthe hydrological response at the outlet of a catchment wasudperformed by using a conceptual fully distributed procedureudbased on the Soil Conservation Service – Curve Numberudmethod as an excess rainfall model and on a distributed unitudhydrograph with climatic dependencies for the flow routing.udTravel time computation, based on the distributed unit hydrographuddefinition, was performed by implementing a procedureudbased on flow paths, determined from a digital elevationudmodel (DEM) and roughness parameters obtained fromuddistributed geographical information. In order to estimate theudprimary return period of the SFDH, which provides the probabilityudof occurrence of a hydrograph flood, peaks and flowudvolumes obtained through R–R modelling were treated statisticallyudusing copulas. Finally, the shapes of hydrographsudhave been generated on the basis of historically significantudflood events, via cluster analysis.udAn application of the procedure described above has beenudcarried out and results presented for the case study of theudImera catchment in Sicily, Italy.
机译:本文采用一种通过二元表示法通过降雨量(降雨持续时间和强度)的二元表示降雨强迫(降雨持续时间和强度)得出合成洪水 uddesign水位图(SFDH)的程序,描述和建模了两个 udvaris与相关边际定律无关的相关性, ud给出了与分布式降雨-径流模型的耦合。 ud用于估算集水区出口水文响应的降雨-径流模型(R–R模型)使用基于概念的完全分布式程序 ud土壤保护服务–曲线编号 udmethod作为过量降雨模型,并在具有气候相关性的分布式单元 udhydrograph上进行流路选择。 ud基于分布式单元水文 uddefinition的行程时间计算是通过执行一个程序 udbased根据数字高程 udmodel(DEM)和从 ud分布式地理信息获得的粗糙度参数确定的流径。为了估算SFDH的主要恢复期,从而提供了发生水文洪水的概率 udof,对通过R–R模型获得的峰和流量流量进行了统计学处理使用了copula。最后,通过聚类分析,在历史上具有重大意义的洪水事件的基础上,生成了水文图的形状。 ud已经对上述程序的应用进行了 ud,并为 udImera流域的案例研究提供了结果。意大利西西里岛。

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