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首页> 外文期刊>Nordic hydrology >A hybrid reglonalizatlon method based on canonical correlation analysis and cluster analysis: a case study in northern Iran
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A hybrid reglonalizatlon method based on canonical correlation analysis and cluster analysis: a case study in northern Iran

机译：基于典范相关分析和聚类分析的混合区域化方法：以伊朗北部为例

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摘要

The performance of regionalization methods used for regional flood frequency analysis is affected considerably by the features used to identify the homogeneous regions (e.g., climatological, meteorological, geomorphological, and physiographic characteristics of the watersheds). In this study, a regionalization method is proposed that takes advantage of the two widely used techniques in regionalization of watersheds: canonical correlation analysis and cluster analysis. In the proposed method, the canonical correlation analysis is utilized to select or weight features that then will be used by a hybrid clustering algorithm for regionalization of watersheds. The proposed method is applied to Sefidrud basin, located in the north of Iran, to implement regionalization with two, three, four, and five regions. Performance assessment of the proposed method shows that all the options of the proposed method can be effective alternatives to some common regionalization methods to improve the homogeneity of the regions. The results indicate that the method can satisfy the homogeneity conditions approximately for all the regions which were identified in the study area.
机译：用于确定区域洪水频率的区域划分方法的性能在很大程度上受到用来识别同质区域的特征（例如流域的气候，气象，地貌和地貌特征）的影响。在这项研究中，提出了一种区域化方法，该方法利用了流域区域化中广泛使用的两种技术：规范相关分析和聚类分析。在提出的方法中，典型相关分析用于选择特征或权重特征，然后将其由混合聚类算法用于分水岭的区域化。拟议的方法应用于位于伊朗北部的塞菲德鲁德盆地，以实现对两个，三个，四个和五个区域的区域化。对提出的方法的性能评估表明，提出的方法的所有选项可以作为某些常见区域化方法的有效替代方案，以提高区域的同质性。结果表明，该方法可以满足研究区域中确定的所有区域的均质性条件。

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