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Comparison of flow routing algorithms used in geographic information systems.

机译:地理信息系统中使用的流路由算法的比较。

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Flow direction and specific catchment area were calculated for different flow routing algorithms using TAPES-G and TauDEM. A fuzzy classification was used along with eight topo-climatic attributes to delineate six landscape classes from a 10-meter USGS DEM. A series of maps and tabular outputs were produced to compare flow routing predictions in different parts of the study area. The matched pair t-test was used to compare the performance of pairs of specific catchment area grids across six user-defined fuzzy landscape classes. The results show that: (1) the "source" cells predicted with the Dinfinity, DEMON, and FD8 algorithms were confined to hilltops; (2) two single flow routing algorithms (Rho8, D8) produced poor results; and (3) the choice of flow routing algorithm has important consequences for the calculation of upslope contributing areas, sediment transport capacity, topographic wetness, and several other terrain-based indices.
机译:使用TAPES-G和TauDEM针对不同的流路演算法计算了流向和特定汇水面积。使用模糊分类以及八个地形气候属性来描绘10米高的USGS DEM中的六个景观类别。制作了一系列地图和表格输出,以比较研究区域不同部分的流径预测。匹配对t检验用于比较六个用户定义的模糊景观类别中特定集水区网格对的性能。结果表明:(1)用Dinfinity,DEMON和FD8算法预测的“源”单元仅限于山顶; (2)两种单流路由算法(Rho8,D8)产生了较差的结果; (3)流动路径算法的选择对于计算上坡贡献面积,泥沙输送能力,地形湿度和其他基于地形的指标具有重要意义。

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