基于谱系模糊聚类分析法的潮汐能资源分类研究  

Research on Tidal Energy Resources Classification Based on the Hierarchical Fuzzy Clustering Analysis Method

作　　者：徐辉奋[1] 丁杰[1] 姜波[1] 

机构地区：[1]国家海洋技术中心,天津300112

出　　处：《海洋技术》2014年第4期122-127,共6页Ocean Technology

基　　金：海洋可再生能源专项资金资助项目(GHME2010ZC11;GHME2010ZC05)

摘　　要：我国潮汐能资源十分丰富,并且潮汐能开发利用技术也是比较成熟的。如何对潮汐能资源进行有效分类,从而为开发利用提供参考依据具有十分重要的意义。利用谱系模糊聚类分析法,选取平均潮差、库容面积、理论装机容量和自然环境条件作为主要因素,对浙江省和福建省沿海港湾区域的29个潮汐能资源样本进行了分类。在模糊聚类分析中分别采用了10种方法建立样本间的模糊相似关系,并对比分析了不同方法的聚类结果,选择了最佳的分类方法。研究结果表明,谱系模糊聚类分析可以应用到潮汐能的资源分类中,分类效果良好。China boasts abundant tidal energy resources and relatively mature technologies to exploit and utilize tidal power. Effective classification of tidal energy resources is of great significance to provide the reference basis for tidal power development. Based on the hierarchical fuzzy clustering analysis method, the average tidal range,storage area, theoretical installed capacity and natural environment conditions were selected as main factors, so as to carry out classification of the 29 tidal power resource samples in the coastal harbor areas in the Zhejiang and Fujian Provinces. In fuzzy clustering analysis, 10 kinds of methods were respectively adopted to establish the fuzzy similarity between samples, and the clustering results from different methods were compared and analyzed in order to choose the optimal classification method. The research results indicate that the hierarchical fuzzy clustering analysis method has good classification effects and can be applied in tidal energy resources classification.

关 键 词：谱系模糊聚类分析 潮汐能 数据标准化 相似矩阵 分类 

分 类 号：P743.3[天文地球—海洋科学]