水系划分的剖面相似系数聚类法
|
摘要
提出一种基于温度剖面相似系数的水系划分方法。基本思想是:将各温度剖面视为独立样本,各深度数据为样本变量,先基于划分区域水文特征选取合理数量的水系中心剖面,再利用各样本与各中心剖面相似系数大小进行聚类,得到各水系划分数据集合;利用几何平均求得各水系集合新的中心剖面,重复剖面相似系数聚类过程,直至中心剖面不再变化为止。最后利用国家海洋信息中心发布的中国近海CTD温、盐产品对该方法进行试验,并对聚类得到的各类温度剖面展开讨论。结果较好的反应出各区域温度剖面特征,综合体现出东海各区域温度大小、海流、水团和水深特性。
The division of temperature profiles is of great importance to discuss hydrology characteristics and underwater acoustic classification,and in this paper a method of water system division by clustering algorithm of profile similarity coefficients is put forward. The basic thought is: each temperature profile is treated as a sample and data of different layers as variable. Firstly,several reasonable profiles of water system centers are picked out. Then,the clustering algorithm of profile similarity coefficients is used to cluster them and the musters of each water system are obtained. Finally,the geometry average method is used to get the newwater system centers,and the cluster steps are repeated until the water system centers are stable. In the end,the CTD data of China Ocean Information Center is used to experiment this cluster algorithm. The cluster results are analyzed,which showreasonable characteristics of the temperature profiles in each area,and generally reflects the features of temperature,ocean currents,water mass and depth in the East China Sea.
The division of temperature profiles is of great importance to discuss hydrology characteristics and underwater acoustic classification,and in this paper a method of water system division by clustering algorithm of profile similarity coefficients is put forward. The basic thought is: each temperature profile is treated as a sample and data of different layers as variable. Firstly,several reasonable profiles of water system centers are picked out. Then,the clustering algorithm of profile similarity coefficients is used to cluster them and the musters of each water system are obtained. Finally,the geometry average method is used to get the newwater system centers,and the cluster steps are repeated until the water system centers are stable. In the end,the CTD data of China Ocean Information Center is used to experiment this cluster algorithm. The cluster results are analyzed,which showreasonable characteristics of the temperature profiles in each area,and generally reflects the features of temperature,ocean currents,water mass and depth in the East China Sea.
引文
[1]侍茂崇.物理海洋学[M].济南:山东教育出版社,2004:49-61,73-74.
[2]李凤岐,苏育嵩.海洋水团的Fisher型逐步判别预报[J].山东海洋学院学报,1987,17(4):1-10.
[3]洪波,杨红.Fisher型逐步判别法在东海水团判别中的初步应用[J].海洋渔业,2005,27(2):143-149.
[4]李凤岐,王凤钦,苏育嵩,等.黄、东海域春季水团的模糊分析[J].青岛海洋大学学报,1989,19(1):35-45.
[5]高存彬,秦勃.基于K-means聚类法的水团划分算法和可视化研究[D].青岛:中国海洋大学,2008.
[6]QIAO F l,MA Jian,XIA C S,et al.Influencs of the surface w ave-induced mixing and tidal mixing on the vertical temperature structure of the Yellow and East China Seas in summer[J].PROGRESS IN NATURAL SCIENCE,2006,16(7):739-746.
[7]QIAO L L,LIU Yong,CHEN J J,et al.Distribution and its mechanism of suspended particulate matters in the southern Huanghai Sea and the East China Sea in summer[J].Acta Oceanol.Sin,2011,30(5):94-100.
[8]张媛,吴德星,林霄沛.东海PN断面水团分布的季节变化[J].中国海洋大学学报,2009,39(3):369-374.
[9]Akima,H.A new method of interpolation and smooth curve fitting based on local procedures[J].J.Associ.Comput.Maeh.,1970,17:589-602.
[10]邹娥梅,熊学军,郭炳火,等.黄、东海温盐跃层的分布特征及其季节变化特征[J].黄渤海海洋,2001,19(3):8-18.
[11]袁耀初,苏纪兰.1995年以来我国对黑潮及琉球海流的研究[J].科学通报,2000,45(22):2353-2356.
[2]李凤岐,苏育嵩.海洋水团的Fisher型逐步判别预报[J].山东海洋学院学报,1987,17(4):1-10.
[3]洪波,杨红.Fisher型逐步判别法在东海水团判别中的初步应用[J].海洋渔业,2005,27(2):143-149.
[4]李凤岐,王凤钦,苏育嵩,等.黄、东海域春季水团的模糊分析[J].青岛海洋大学学报,1989,19(1):35-45.
[5]高存彬,秦勃.基于K-means聚类法的水团划分算法和可视化研究[D].青岛:中国海洋大学,2008.
[6]QIAO F l,MA Jian,XIA C S,et al.Influencs of the surface w ave-induced mixing and tidal mixing on the vertical temperature structure of the Yellow and East China Seas in summer[J].PROGRESS IN NATURAL SCIENCE,2006,16(7):739-746.
[7]QIAO L L,LIU Yong,CHEN J J,et al.Distribution and its mechanism of suspended particulate matters in the southern Huanghai Sea and the East China Sea in summer[J].Acta Oceanol.Sin,2011,30(5):94-100.
[8]张媛,吴德星,林霄沛.东海PN断面水团分布的季节变化[J].中国海洋大学学报,2009,39(3):369-374.
[9]Akima,H.A new method of interpolation and smooth curve fitting based on local procedures[J].J.Associ.Comput.Maeh.,1970,17:589-602.
[10]邹娥梅,熊学军,郭炳火,等.黄、东海温盐跃层的分布特征及其季节变化特征[J].黄渤海海洋,2001,19(3):8-18.
[11]袁耀初,苏纪兰.1995年以来我国对黑潮及琉球海流的研究[J].科学通报,2000,45(22):2353-2356.