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Exploring the physical controls of regional patterns of flow duration curves - Part 3: A catchment classification system based on regime curve indicators

机译:探索流量持续时间曲线区域模式的物理控制方法-第3部分:基于状态曲线指标的集水区分类系统

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Predictions of hydrological responses in ungauged catchments can benefit from a classification scheme that can organize and pool together catchments that exhibit a level of hydrologic similarity, especially similarity in some key variable or signature of interest. Since catchments are complex systems with a level of self-organization arising from co-evolution of climate and landscape properties, including vegetation, there is much to be gained from developing a classification system based on a comparative study of a population of catchments across climatic and landscape gradients. The focus of this paper is on climate seasonality and seasonal runoff regime, as characterized by the ensemble mean of within-year variation of climate and runoff. The work on regime behavior is part of an overall study of the physical controls on regional patterns of flow duration curves (FDCs), motivated by the fact that regime behavior leaves a major imprint upon the shape of FDCs, especially the slope of the FDCs. As an exercise in comparative hydrology, the paper seeks to assess the regime behavior of 428 catchments from the MOPEX database simultaneously, classifying and regionalizing them into homogeneous or hydrologically similar groups. A decision tree is developed on the basis of a metric chosen to characterize similarity of regime behavior, using a variant of the Iterative Dichotomiser 3 (ID3) algorithm to form a classification tree and associated catchment classes. In this way, several classes of catchments are distinguished, in which the connection between the five catchments' regime behavior and climate and catchment properties becomes clearer. Only four similarity indices are entered into the algorithm, all of which are obtained from smoothed daily regime curves of climatic variables and runoff. Results demonstrate that climate seasonality plays the most significant role in the classification of US catchments, with rainfall timing and climatic aridity index playing somewhat secondary roles in the organization of the catchments. In spite of the tremendous heterogeneity of climate, topography, and runoff behavior across the continental United States, 331 of the 428 catchments studied are seen to fall into only six dominant classes.
机译:未分类流域的水文响应预测可以受益于分类方案,该分类方案可以将表现出水文相似性水平,尤其是某些关键变量或感兴趣特征的相似性的流域组织起来并汇集在一起​​。由于集水区是复杂的系统,由于气候和景观特性(包括植被)的共同演化而具有一定程度的自组织性,因此,基于对跨气候和集水区的集水区人口进行比较研究,开发分类系统将有很多收获。景观渐变。本文的重点是气候季节性和季节性径流制度,其特征是气候和径流年内变化的总体平均值。政权行为的研究是对流动持续时间曲线(FDCs)区域模式的物理控制进行整体研究的一部分,其动力是政权行为对FDC的形状,尤其是FDC的斜率具有重大影响。作为比较水文学的一项研究,本文试图同时从MOPEX数据库中评估428个流域的水文行为,将它们分类和划分为同质或水文相似的组。决策树是基于选择来表征政权行为相似性的度量标准而开发的,它使用迭代二分法3(ID3)算法的变体来形成分类树和相关的流域类别。这样,区分了几类流域,其中五个流域的政权行为与气候和流域特性之间的联系变得更加清晰。该算法仅输入四个相似性指标,所有这些相似性指标均来自于气候变量和径流的日平滑态曲线。结果表明,气候季节性在美国流域的分类中起最重要的作用,降雨时间和气候干旱指数在流域的组织中起次要作用。尽管整个美国大陆的气候,地形和径流行为存在极大的异质性,但在研究的428个集水区中,有331个仅被归类为六个主要类别。

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