海洋涡旋移动特征的区域划分方法及应用分析
发布时间：2019-02-18 21:36
【摘要】：为了合理有效地分析和挖掘海洋涡旋移动数据中的规律和模式,本文以基于空间交互性流聚类的区域化方法为基础,提出了一种海洋涡旋移动特征的网格区域化方法。该方法以网格为统计单元,对涡旋移动数据进行组织,通过图论模型构建海洋涡旋的移动网络图,然后采用基于平均邻接的层次聚类和基于模块度的划分2个步骤,实现涡旋移动特征的区域划分。基于该算法,对1992-2011年中国南海海洋涡旋移动数据进行算法实验,结果表明,南海海洋涡旋按照其移动频繁性特征可分为越南东南部(R1)、越南东部-巴拉望岛(R2)、南海北部(R3)3个区域。其中,R1区域包含了南海西南部深海盆地区的涡旋活跃条带;R2区域体现了南海中部涡旋向西移动的活动规律;R3区域则包含了南海北部东北-西南走向条带。3个区域内冷涡和暖涡具有明显的季节性变化特征:R1和R3区域冷暖涡变化相似,暖涡在夏秋季移动最多,冬季最少,而冷涡则相反,夏秋季移动最少,随后逐渐增加,并在春季达到峰值;R2区域暖涡在春季移动最多,而冷涡在夏冬移动最多,春秋移动相对较弱。
[Abstract]:In order to analyze and mine the rules and patterns of ocean vortex moving data reasonably and effectively, this paper proposes a grid regionalization method based on spatial interaction flow clustering. In this method, the grid is used as the statistical unit to organize the vortex moving data, and the moving network map of the ocean vortex is constructed by the graph theory model, and then the hierarchical clustering based on average adjacency and the partition based on the module degree are adopted. The region division of vortex movement feature is realized. Based on this algorithm, the ocean vortex movement data of the South China Sea from 1992 to 2011 are tested. The results show that the sea vortex in the South China Sea can be divided into southeastern Vietnam (R1), Eastern Vietnam and Palawan Island (R2) according to its frequent moving characteristics. Three regions in the northern part of the South China Sea (R3). Among them, the R1 region contains the active vortex belt in the deep sea basin of the southwest South China Sea, and the R2 region reflects the westward movement of the vortex in the middle of the South China Sea. The R3 region contains a stripe of northeast to southwest strike in the north and southwest of the South China Sea. The cold and warm vortices in the three regions have obvious seasonal variation characteristics: the cold and warm vortices in the R1 and R3 regions are similar, and the warm vortices move most in summer and autumn and the least in winter. On the contrary, the cold vortex moved least in summer and autumn, then increased gradually, and reached its peak in spring. The warm vortex in R2 region moved most in spring, but the cold vortex moved most in summer and winter, but the movement in spring and autumn was relatively weak.
【作者单位】： 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室;中国科学院大学;
【基金】：国家自然科学基金项目“基于海洋要素场的涡旋过程数据建模与可视化”(41371378);国家自然科学基金创新群体项目“地理时空数据分析”(41421001)
【分类号】：P731.2
本文编号：2426235
[Abstract]:In order to analyze and mine the rules and patterns of ocean vortex moving data reasonably and effectively, this paper proposes a grid regionalization method based on spatial interaction flow clustering. In this method, the grid is used as the statistical unit to organize the vortex moving data, and the moving network map of the ocean vortex is constructed by the graph theory model, and then the hierarchical clustering based on average adjacency and the partition based on the module degree are adopted. The region division of vortex movement feature is realized. Based on this algorithm, the ocean vortex movement data of the South China Sea from 1992 to 2011 are tested. The results show that the sea vortex in the South China Sea can be divided into southeastern Vietnam (R1), Eastern Vietnam and Palawan Island (R2) according to its frequent moving characteristics. Three regions in the northern part of the South China Sea (R3). Among them, the R1 region contains the active vortex belt in the deep sea basin of the southwest South China Sea, and the R2 region reflects the westward movement of the vortex in the middle of the South China Sea. The R3 region contains a stripe of northeast to southwest strike in the north and southwest of the South China Sea. The cold and warm vortices in the three regions have obvious seasonal variation characteristics: the cold and warm vortices in the R1 and R3 regions are similar, and the warm vortices move most in summer and autumn and the least in winter. On the contrary, the cold vortex moved least in summer and autumn, then increased gradually, and reached its peak in spring. The warm vortex in R2 region moved most in spring, but the cold vortex moved most in summer and winter, but the movement in spring and autumn was relatively weak.
【作者单位】： 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室;中国科学院大学;
【基金】：国家自然科学基金项目“基于海洋要素场的涡旋过程数据建模与可视化”(41371378);国家自然科学基金创新群体项目“地理时空数据分析”(41421001)
【分类号】：P731.2
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