Combination of canonical correlation analysis and cluster analysis for regionalization of watersheds

What is it about?

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.

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Why is it important?

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). The proposed method can be considered as an effective alternative to some common regionalization methods to improve the homogeneity of the regions.