摘要
对钦州湾2008-2009年6个航次的调查资料进行分析,数据共有24个指标,15个站点。由于指标过多,数据处理不方便并且也不准确。利用FCM模糊聚类算法对钦州湾水体中的污染物进行分析,通过预测,得到2010年春、夏、秋、冬四个季度各个指标的数据,旨在了解钦州湾不同时期水质污染状况以及其趋势,为该湾的环境治理以及生态环境的可持续发展提供科学依据。
The aerial survey data of Qinzhou Bay area by six times taken in 2008~2009 were studied, and the data involve 24 observation indexes and 15 aerial survey sites. Because of too many indexes, the data processing was not convenient and accurate. By using FCM Fuzzy clustering algorithm, the pollutants in Qinzhou Bay area waters were analyzed, and through prediction, the data of every indexes in spring, summer, autumn and winter in 2010 were obtained, thus understanding the water pollution state and trend, providing scientific basis of ecological environment＇s sustainable development and environmental control for Qinzhou Bay area.
出处
《中南林业科技大学学报》
CAS
CSCD
北大核心
2012年第11期158-162,共5页
Journal of Central South University of Forestry & Technology
基金
广西自然科学基金项目(2011GXNSFA018151)
广西教育厅科研资助项目(201012MS194)
广西科学研究与技术开发计划课题(桂科攻0895004-4)
关键词
生态环境
水质预测
FCM
模糊聚类
ecological environment
prediction of water quality
FCM algorithm
fuzzy cluster
