海洋环境要素区划技术研究

A Study of the Clusters of Ocean Environment Elements Based on Main Factor Analysis

将中国近海现有海洋环境要素的观测数据有机地融合起来进行区域划分,对实现传统导航信息与海洋环境辅助信息合理地结合,提高船舶航行的安全性有重要的意义。以对船舶航行影响最大的海流要素为例,采用主因子分析的方法将24个量测指标综合成4个主因子,既简化运算又不失真地反映真实海况。通过方差最大正交旋转对荷载矩阵进行处理使其列向量两极分化,以分析影响各个主因子的主要指标。最后,利用4个主因子在各采样点的得分数将中国东海、南海划分为六个区域。此结果弥补了物理海洋学方法对海洋环境要素小尺度预报精度的不足,为船舶航行提供全域背景和信息决策指导。

Dividing China＇ s sea in clusters by the fusion of the observed data of existing ocean environment element has important significance for the reasonable combination of navigation and ocean environment information and also for the improvement of ship navigation safety. In this paper, taking ocean current as an example which is the element having maximum effect on ship navigation, main factor analysis method is adopted to colligate 24 measured variables into 4 main factors. The way simplifies the calculations and gives the real description of ocean circumstances. The analysis of 4 main factors＇ characters is given. Then, the East China Sea area and South China Sea area are divided into 6 clusters by the scores of main factors. This results can compensate the precision shortcomings of the forecast results by physical oceanography method and could be the guidance of whole information background for ship navigation.