An Algorithm for Identifying Main and Slow Flow Channels of Yangtze River
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摘要: 船舶航行时充分地利用主缓流航道可以节约能源。为了更加准确地划分长江航道的主缓流航道,提出了利用 k-近邻算法和 P 分位数法的划分方法。改进后的 P 分位数法采用动态选择 P 值的方法避免了主流区域可能过小的问题,k-近邻算法利用了测点的水深、流速等多种航道水文信息来划分主缓流。利用长江航道金口处和岳阳处的11个截面的实测数据对 k-近邻算法和 P 分位数法进行了对比分析,其中有10个截面的主缓流区域相近。进一步对比长江航道中典型的龙口水道和杨林岩水道,发现根据算法得出的主流区宽度和实际的相比,误差在12%以内,可以满足船舶航行的需要。Abstract: Vessels which navigate on the main flow channel can save energy.In order to more accurately divide the main and slow channels of the Yangtze River,this paper proposed methods of k-nearest neighbor algorithm and P-tile method.The improved P-tile method can avoid the main stream being too small by dynamic selection of P values.The k-nearest neighbor algorithm partitions the main and slow streams with channel hydrology information,such as depths and flow velocities.With the 1 1 sections'data of Yueyang and Jinkou measuring stations in Yangtze River,this study com-pared the partition results of these two algorithms.The results showed that areas of main and slow channels at the 10 out of 1 1 sections were close.A further comparison with the waterways at Longkou and Yanglinyan of the Yangtze River indi-cated the difference of the mainstream zone width estimated from the proposed algorithms was within 12% comparing to the actual,which can meet the requirements of the ship navigation.
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