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Morpho-fluvial analysis of headwater catchments: an example from the Central-Eastern Pyrenees

机译:对源头集水区的形态 - 河流分析:中东比利牛斯山脉的一个例子

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摘要

Geomorphometry of headwater catchments has been poorly reported in the Central-Eastern Pyrenees. This study presents a series of parameters obtained for Central-Eastern Pyrenean headwater catchments. The database consists of 3,005 first-and 655 second-order catchments. These catchments have been digitalised, identified, and attributed a value for each parameter. The parameters investigated are divided into three groups: relative to catchments, relative to streams and morpho-hydrological ratios. Histograms reveal similarities between orders for some parameters such as mean slope or orientation, while stream orders seem to condition metrical parameters (area, perimeter, stream length). Streams have been fragmented to assess different values for slope. Values for slope over a small portion of the stream near the outlet seem to show clearer differences between orders. With regard to morpho-hydrological ratios, catchments show better distinctions between orders for the Melton and Lemniscate ratios than for the form factor or the basin elongation. The power-law relationship between catchment area and stream length recognised for large fluvial systems is shown here to follow a linear trend at small values. An attempt to identify the morpho-structural regionalisation differentiating the Axial Pyrenees from the pre-Pyrenees is made based on the parameters. However, applying the methodology to other environments could improve the context of the current results. Similar studies could also benefit from the development of such databases.
机译:在中东部比利牛斯山脉,流域集水区的地貌形态报道很少。这项研究提出了从中东部比利牛斯河上游流域获得的一系列参数。该数据库由3005个一流和655个二流域组成。这些流域已被数字化,识别并为每个参数赋予一个值。研究的参数分为三类:相对于集水区,相对于河流和形态水文学比。直方图揭示了某些参数(例如平均斜率或方向)的阶次之间的相似性,而流阶似乎限制了度量参数(面积,周长,流长)。河流已被分割以评估坡度的不同值。出口附近一小部分溪流的斜率值似乎表明订单之间的差异更加明显。关于形态水文比率,流域在梅尔顿和林奈特比率的阶次之间比在形状因数或盆地延伸率上更好地区分。此处显示了对于大型河流系统而言,集水面积与河流长度之间的幂律关系在小值时遵循线性趋势。基于这些参数,试图确定区分轴向比利牛斯山与轴向比利牛斯山的形态结构区域化。但是,将该方法应用于其他环境可以改善当前结果的背景。类似的研究也可以从此类数据库的开发中受益。

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