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A quick algorithm of counting flow accumulation matrix for deriving drainage networks from a DEM

机译:从DEM推导排水管网的流量累积矩阵快速计算算法。

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Computerized auto-extraction of drainage networks from Digital Elevation Model (DEM) has been widely used in hydrological modeling and relevant studies. Several essential procedures need to be implemented in eight-directional(D8) watershed delineation method, among which a problem need to be resolved is the lack of a high efficiency algorithm for quick and accurate computation of flow accumulation matrix involved in river network delineations. For the problem of depression filling, the algorithm presented by Oliver Planchon has resolved it. This study was aimed to develop a simple and quick algorithm for flow accumulation matrix computations. For this purpose, a simple and high efficiency algorithm of the time complexity of O(n) compared to the commonly used code of the time complexity of O(n2) orO(nlogn) , has been developed. Performance tests on this newly developed algorithm were conducted for different size of DEMs, and the results suggested that the algorithm has a linear time complexity with increasing sizes of DEM. The computation efficiency of this newly developed algorithm is many times higher than the commonly used code, and for a DEM of size 1000*1000, flow accumulation matrix computation can be completed within only several seconds compared with about few minutes needed by common used algorithms.
机译:从数字高程模型(DEM)中自动提取排水网络的计算机已广泛用于水文建模和相关研究中。在八向(D8)流域划分方法中需要实现几个基本程序,其中需要解决的问题是缺乏高效,快速,准确地计算河流网络划分所涉及的流量累积矩阵的算法。对于凹陷填充的问题,Oliver Planchon提出的算法已解决该问题。这项研究旨在开发一种简单快速的流量累积矩阵计算算法。为此,已经开发了一种简单高效的算法,该算法与通常使用的O(n2)或O(nlogn)的时间复杂度代码相比,具有O(n)的时间复杂度。针对不同大小的DEM,对该新算法进行了性能测试,结果表明,随着DEM大小的增加,该算法具有线性时间复杂度。这种新开发的算法的计算效率比常用代码高出许多倍,并且对于大小为1000 * 1000的DEM,与常用算法所需的几分钟相比,流量累积矩阵的计算可以在几秒钟内完成。

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