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An open source high-performance solution to extract surface water drainage networks from diverse terrain conditions

机译:开源高性能解决方案,可从各种地形条件中提取地表排水网络

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This paper describes a workflow for automating the extraction of elevation-derived stream lines using open source tools with parallel computing support and testing the effectiveness of procedures in various terrain conditions within the conterminous United States. Drainage networks are extracted from the US Geological Survey 1/3 arc-second 3D Elevation Program elevation data having a nominal cell size of 10m. This research demonstrates the utility of open source tools with parallel computing support for extracting connected drainage network patterns and handling depressions in 30 subbasins distributed across humid, dry, and transitional climate regions and in terrain conditions exhibiting a range of slopes. Special attention is given to low-slope terrain, where network connectivity is preserved by generating synthetic stream channels through lake and waterbody polygons. Conflation analysis compares the extracted streams with a 1:24,000-scale National Hydrography Dataset flowline network and shows that similarities are greatest for second- and higher-order tributaries.
机译:本文介绍了一种工作流程,该工作流程可使用带有并行计算支持的开放源代码工具自动提取高程流线,并在美国本土范围内的各种地形条件下测试程序的有效性。排水网络是从美国地质调查局1/3弧秒3D高程计划高程数据中提取的,标称像元大小为10m。这项研究证明了具有并行计算支持的开源工具的实用性,该工具可用于提取连通的排水网络模式并处理分布在潮湿,干燥和过渡性气候区域以及表现出一定坡度的地形条件下的30个子盆地中的凹陷。特别注意低坡度地形,在该地形中,通过湖泊和水体多边形生成合成流通道可保持网络连通性。合并分析将提取的流与比例为1:24,000的国家水文数据集流线网络进行比较,结果表明,二阶和高阶支流的相似性最大。

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