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Multi-flow direction algorithms for extracting drainage network based on digital elevation model

机译:基于数字高度模型提取排水网络的多流动方向算法

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A set of multi-flow direction algorithms for extracting drainage network form digital elevation model (DEM) based on ground water overflow model is introduced. As single-flow direction algorithms, the algorithms perform some tasks as following: depression identification and treatment; relief increment of flat areas; flow vector determination and drainage network. But in the flow vector determination process, we use multi-flow direction algorithm. We extract drainage network form a set of digital elevation model in Changsha, Hunan Province using this method to test these algorithms. The experiment result shows that these algorithms are efficient and avoid parallel currents, the shortcoming of single-flow direction algorithms.
机译:介绍了一组用于提取基于地面水溢流模型的排水网络形成数字高度模型(DEM)的多流动方向算法。作为单流方向算法,该算法执行一些任务如下:抑郁症识别和治疗;宽松区域的浮雕增量;流量矢量确定和排水网络。但在流量矢量确定过程中,我们使用多流动方向算法。我们利用这种方法在湖南省长沙中提取了一套数字高度模型,使用这种方法来测试这些算法。实验结果表明,这些算法是有效的,避免并联电流,单流方向算法的缺点。

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