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Hydrological landscape classification: Investigating the performance of HAND based landscape classifications in a central European meso-scale catchment

机译:水文景观分类:在中欧中尺度流域调查基于HAND的景观分类的性能

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摘要

This paper presents a detailed performance and sensitivity analysis of a recently developed hydrological landscape classification method based on dominant runoff mechanisms. Three landscape classes are distinguished: wetland, hillslope and plateau, corresponding to three dominant hydrological regimes: saturation excess overland flow, storage excess sub-surface flow, and deep percolation. Topography, geology and land use hold the key to identifying these landscapes. The height above the nearest drainage (HAND) and the surface slope, which can be easily obtained from a digital elevation model, appear to be the dominant topographical controls for hydrological classification. In this paper several indicators for classification are tested as well as their sensitivity to scale and resolution of observed points (sample size). The best results are obtained by the simple use of HAND and slope. The results obtained compared well with the topographical wetness index. The HAND based landscape classification appears to be an efficient mets"read the landscape" on the basis of which conceptual models can be developed.
机译:本文介绍了基于主导径流机制的最新开发的水文景观分类方法的详细性能和敏感性分析。区分了三种景观类别:湿地,山坡和高原,分别对应三种主要的水文状况:饱和的过量陆流,存储的过量地下流和深层渗流。地形,地质和土地利用是确定这些景观的关键。可以从数字高程模型轻松获得的最近排水(HAND)上方的高度和表面坡度,似乎是水文分类的主要地形控制。本文测试了几种分类指标,以及它们对规模和对观测点的分辨率(样本量)的敏感性。简单使用HAND和斜率可获得最佳结果。得到的结果与地形湿度指数相比很好。基于HAND的景观分类似乎是一种有效的“读取景观”方法,可以在此基础上开发概念模型。

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