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模糊C-均值聚类分析研究大亚湾水质空间分布规律
引用本文:杨志浩,刘基. 模糊C-均值聚类分析研究大亚湾水质空间分布规律[J]. 适用技术之窗, 2010, 0(1): 211-214
作者姓名:杨志浩  刘基
作者单位:[1]广东核力工程勘察院,广东广州510800 [2]中国科学院南海海洋研究所,广东广州510301
摘    要:模糊C-均值聚类方法研究人类活动影响下大亚湾海域水体生态环境空间分布规律.揭示大亚湾水体生态环境空间分布分成两类区域:其一为受人类活动影响为主的大鹏澳、澳头以及大亚湾东北部区域;其二为受湾外南海海水交换影响较大的大亚湾南部、中部和东部海域。模糊C-均值聚类分析作为一种数据信息提取方法,为海洋环境生态研究提供新的方法。

关 键 词:模糊C-均值聚类  大亚湾  生态环境  水质

Analysis and Research of Water Quality Spatial Distribution in Daya Bay by Fuzzy C-mean Cluster
Yang Zhihao,Liu Ji. Analysis and Research of Water Quality Spatial Distribution in Daya Bay by Fuzzy C-mean Cluster[J]. Science & Technology Plaza, 2010, 0(1): 211-214
Authors:Yang Zhihao  Liu Ji
Affiliation:1.Guangdong Nuclear Force Institute of Engineering Investigation GuangDong Guangzhou 510800; 2.South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangdong Guangzhou 510301)
Abstract:Based on fuzzy c-mean cluster, the spatial variation of ecological environment and its influence factors were analyzed. The ecological environment in Daya Bay was divided into two groups: the cluster Ⅰ , which lie in Dapeng Cove,Aotou Harbour and northeast parts in Daya Bay,is mainly related to anthropogenic activities. The cluster Ⅱ , which lie in south,central and east parts in Daya Bay,is mainly related to water exchanges from South China Sea. Fuzzy C-mean cluster analysis as an important tool for information extraction presents a new approach for marine ecological environment research.
Keywords:Fuzzy C-mean cluster  Daya Bay  Ecological Environment  Water Quality
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