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首页> 外文期刊>International Journal of Engineering Research and Applications >Catchment classification: multivariate statistical analyses for physiographic similarity in the Upper Niger Basin
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Catchment classification: multivariate statistical analyses for physiographic similarity in the Upper Niger Basin

机译：流域分类：尼日尔上流域生理相似性的多元统计分析

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The objective of this study was to determine physiographic similarity, as indicator of hydrologic similarity between catchments located in the Upper Niger Basin, and to derive the dominant factors controlling each group singularity. We utilized a dataset of 9 catchments described by 16 physical and climatic properties distributed across a wide region with strong environmental gradients. Catchments attributes were first standardized before they underwent an integrated exploratory data analysis composed by Principal Component Analysis (PCA) followed by Hierarchical Clustering. Results showed a clear distribution into 2 major clusters: a group of easterly flat catchments and another of westerly hilly catchments. This nomenclature came from the interpretation of the main factors, topography and longitude, that seem to control the most important variability between both clusters. In addition, the hilly catchments were designated to be dominated by forest and ACRISOL soil type, two additional drivers of similarity. The outcome of this study can help understanding catchment functioning and provide a support for regionalization of hydrological information.
机译：这项研究的目的是确定生理上的相似性，作为位于尼日尔上流域的集水区之间水文相似性的指标，并得出控制各组奇异性的主导因素。我们利用了9个流域的数据集，该数据集由16个物理和气候特性所描述，分布在具有强烈环境梯度的广阔区域中。流域属性首先经过标准化，然后再进行由主成分分析（PCA）和层次聚类组成的综合探索性数据分析。结果显示清楚地分为两个主要簇：一组东风平坦的流域和另一个西风丘陵的流域。此术语来自对主要因素（地形和经度）的解释，这些因素似乎控制着两个群集之间最重要的可变性。此外，丘陵流域被指定为以森林和ACRISOL土壤类型为主，这是两个相似的因素。这项研究的结果可以帮助了解流域的功能，并为水文信息的区域化提供支持。

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