六边形网格系统中水文流的地理可视化

Q3 Social Sciences
Mingke Li, H. McGrath, E. Stefanakis
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引用次数: 2

摘要

最近的研究将传统的水文算法扩展到六边形网格,并指出六边形网格上的水文建模优于矩形网格。在水文产品中,流量路径网格是许多其他水文模拟的基础,如流量积累、分水岭划定和河流网络。然而,以往的研究大多采用D6算法,该算法类似于矩形网格上的D8算法来产生流路由。本文在四种坡向计算算法的基础上,探索了六边形网格中流动方向生成的另外四种方法。我们还开发并可视化了基于六边形网格的水文操作,包括流量积累、流域划定和水文指数计算。实验在多种网格分辨率和不同地形粗糙度下进行。结果表明,不同方法的水流方向会发生变化,这种变化的影响会传播到流量积累、流域划定和水文指数的产生,这在基于细胞的比较和可视化中得到了反映。该研究可用于六边形、分层网格(如离散全球网格系统)的水文分析,并且开发的操作可用于现实世界的洪水建模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geovisualization of Hydrological Flow in Hexagonal Grid Systems
Recent research has extended conventional hydrological algorithms into a hexagonal grid and noted that hydrological modeling on a hexagonal mesh grid outperformed that on a rectangular grid. Among the hydrological products, flow routing grids are the base of many other hydrological simulations, such as flow accumulation, watershed delineation, and stream networks. However, most of the previous research adopted the D6 algorithm, which is analogous to the D8 algorithm over a rectangular grid, to produce flow routing. This paper explored another four methods regarding generating flow directions in a hexagonal grid, based on four algorithms of slope aspect computation. We also developed and visualized hexagonal-grid-based hydrological operations, including flow accumulation, watershed delineation, and hydrological indices computation. Experiments were carried out across multiple grid resolutions with various terrain roughness. The results showed that flow direction can vary among different approaches, and the impact of such variation can propagate to flow accumulation, watershed delineation, and hydrological indices production, which was reflected by the cell-wise comparison and visualization. This research is practical for hydrological analysis in hexagonal, hierarchical grids, such as Discrete Global Grid Systems, and the developed operations can be used in flood modeling in the real world.
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来源期刊
Human Geographies
Human Geographies Social Sciences-Geography, Planning and Development
CiteScore
1.10
自引率
0.00%
发文量
7
审稿时长
8 weeks
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