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Mapping valley bottom confinement at the network scale

机译:在网络规模上映射谷底限制

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摘要

In this article, we demonstrate the application of a continuous confinement metric across entire river networks. Confinement is a useful metric for characterizing and discriminating valley setting. At the reach scale, valley bottom confinement is measured and quantified as the ratio of the length of channel confined on either bank by a confining margin divided by the reach length. The valley bottom is occupied by the contemporary floodplain and/or its channel(s); confining margins can be any landform or feature that makes up the valley bottom margin, such as bedrock hillslopes, terraces, fans, or anthropogenic features such as stopbanks or constructed levees. To test the reliability of calculating confinement across entire networks, we applied our geoprocessing scripts across four physiographically distinct watersheds of the Pacific Northwest, USA using freely available national datasets. Comparison of manually digitized and mapped with modeled calculations of confinement revealed that roughly one-third of reaches were equivalent and about two-thirds of the sites differ by less than +/- 15%. A sensitivity analysis found that a 500 m reach segmentation length produced reasonable agreement with manual, categorical, expert-derived analysis of confinement. Confinement accuracy can be improved (c. 4% to 17% gains) using a more accurately mapped valley bottom and channel position (i.e. with higher-resolution model inputs). This is particularly important when differentiating rivers in the partly confined valley setting. However, at the watershed scale, patterns derived from mapping confinement are not fundamentally different, making this a reasonably accurate and rapid technique for analysis and measurement of confinement across broad spatial extents. (c) 2019 John Wiley & Sons, Ltd.
机译:在本文中,我们展示了在整个河网络上的连续监禁度量的应用。限制是表征和辨别谷设置的有用度量。在达到尺度上,测量谷底限制和量化,因为通过达到长度的限制率被限制在银行上限制的通道长度的比率。山谷底部被当代洪泛区和/或其渠道占用;限制边缘可以是构成山谷底部边缘的任何地形或特征,如基岩山坡,露台,风扇或人为特征,如止动纸或被构造的levees。为测试整个网络计算限制的可靠性,我们将我们的地理处理脚本应用于美国的四个地理上不同的流域,该剧本使用自由的国家数据集。手动数字化和映射的比较与监禁的建模计算显示,大约三分之一的达到达到的达到相当,大约三分之二的网站的不同程度低于+/- 15%。敏感性分析发现,500米到达分割长度与手动,分类,专家派生分析的合理协议产生了合理的协议。可以使用更精确映射的谷底部和通道位置(即,具有更高分辨率的模型输入)来提高限制精度(C.4%至17%的收益)。当区分河流环境中的河流时,这尤其重要。然而,在流域的规模上,绘图限制的模式并非从根本上不同,这使得这种具有合理准确和快速的分析和测量宽空间范围的限制。 (c)2019 John Wiley&Sons,Ltd。

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