This article is a study of headwater catchments and streams that aims at a first morphological typology of such catchments for Corsica island. Such typology offers a base for various studies or assessments regarding, for instance, water management, geological hazards assessments or faunal and/or floral species conservation. Corsica island comprises 120 peaks over 2000 m above sea-level. Herein, the characteristics and developments of 83 Corsican headwater catchments found above 1200 m above sea-level are evaluated using a digital elevation model, a principal component analysis and a hierarchical cluster analysis based on 14 morphometric parameters. It appears that 65.31% of the data’s total variance is clarified by the first three principal components. On the first principal component maximum elevation, mean elevation, mean slope and Melton ratio are found opposed to area and perimeter. Moreover, a latitudinal gradient on the first principal component is confirmed by the supplementary variable latitude’s coordinate. On the second principal component the form factor is opposed to the Lemniscate ratio. The most representative catchment points are best highlighted in terms of the catchments of the seven main streams. The cluster analysis allows to divide the catchments into four groups or types, unequivocally reflecting the first principal component and emphasising the comparable results for the two analyses. These four types of catchments are numerically characterised by four main parameters, which are area, Melton ratio, mean elevation and mean slope. A first morphological typology for Corsican headwater catchments is proposed in accordance to both principal components and cluster analyses.

本文是一项针对上游水源流域和溪流的研究，旨在研究科西嘉岛此类流域的第一种形态学类型。这种类型学为各种研究或评估提供了基础，例如水管理，地质灾害评估或动植物和/或花卉物种保护。科西嘉岛由海拔2000 m以上的120个山峰组成。在此，使用数字高程模型，主成分分析和基于14个形态计量学参数的层次聚类分析，评估了海拔1200 m以上的83个科西嘉河源流域的特征和发展。看起来，数据的总方差的65.31％由前三个主要成分所阐明。在第一个主成分最大标高，平均标高，发现平均斜率和梅尔顿比与面积和周长相反。此外，第一主分量上的纬度梯度由补充变量纬度坐标确定。在第二个主要成分上，形状系数与Lemniscate比率相反。在七个主要流域的汇水面积上，最具代表性的汇水点得到了最好的强调。聚类分析允许将集水区分为四个组或类型，明确反映第一主要成分并强调两个分析的可比结果。这四种类型的流域通过四个主要参数在数字上进行表征，这四个参数是面积，梅尔顿比，平均海拔和平均坡度。