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Determination of sensitivity of drainage morphometry towards hydrological response interactions for various datasets

机译:排水形态测定对各个数据集的水文响应相互作用的敏感性

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A network of drainage patterns and associated morphometric analysis are important as it forms various attributes of a watershed. Analysis of these attributes is carried out by spatial analysis which is essential for studying several hydrological response interactions within the watershed catchment area. In the present work, five stream networks of a head watershed Verakhadi were derived from SOI toposheet (scale = 1:50,000), SRTM-GL1, AW3D30, GDEM-V2 and CartoDEM-V3.1. The calculated basin morphometric attributes of drainage network derived from all four 30-m-resolution satellite-based DEMs were compared with SOI toposheet-based drainage network which is essential for estimating the accuracy of watershed hydrological response to a natural event (storm). The capability of all four satellite-based DEMs to represent linear, areal and relief aspect of the drainage basin was evaluated. Morphometric parameter comparison of stream network derived from various DEMs is an indirect way of assessing the relative vertical accuracy of DEM. It is observed that DEMs with same spatial resolution can have variable morphometry derivatives due to different data acquisition and data processing techniques used for DEM generation. The outcome of this study will help to understand the complexity and susceptibility of the various morphometric factors arises while dealing with different data acquisition and processing techniques. The study suggests that SRTM-GL1 performs better in terms of drainage delineation and basin morphometry, followed by AW3D30, CartoDEM-V3.1 and GDEM-V2 when compared with SOI toposheet-derived terrain attributes.
机译:排水模式和相关的形态学分析网络是重要的,因为它形成了流域的各种属性。通过空间分析进行这些属性的分析,这对于研究流域集水区内的几种水文响应相互作用是必不可少的。在目前的工作中,来自SOI Toposhe(Scale = 1:50,000),SRTM-GL1,AW3D30,GDEM-V2和Cardodem-V3.1的五个流网络。与基于SOI Toposheet的排水网络进行了比较了来自所有四个基于30M分辨率的卫星DEM的排水网络的计算盆地形态学属性,这对于估计流域水文反应对自然事件(风暴)的准确性至关重要。评估了所有基于卫星的DEM的能力,以表示排水盆地的线性,区域和浮雕方面。来自各种DEM的流网络的形态学参数比较是评估DEM相对垂直精度的间接方法。观察到,由于使用用于DEM生成的不同数据采集和数据处理技术,具有相同空间分辨率的DEM可以具有可变的形态学衍生物。本研究的结果将有助于了解各种情况因素的复杂性和敏感性,同时处理不同的数据采集和处理技术。该研究表明,与SOI Toposheet衍生的地形属性相比,SRTM-GL1在排水描绘和盆地形态学中表现更好,然后是AW3D30,CardeM-V3.1和GDEM-V2。

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