设为首页 加入收藏 登录旧版
用灰色聚类法对荔湾湖水质富营养化程度的评价
The application of the grey clustering method to assess the eutrophication of lake of Liwan
  修订日期:2003-04-25
DOI:
中文关键词:  灰色聚类法,湖泊富营养化,灰色系统
英文关键词:grey clustering methods,entrophication of lake,grey system
基金项目:
朱庆峰  廖秀丽  陈新庚  张淑娟
中山大学环境科学研究所,中山大学环境科学研究所,中山大学环境科学研究所,中山大学环境科学研究所 广东 广州 510275,广东 广州 510275,广东 广州 510275,广东 广州 510275
摘要点击次数: 2864
全文下载次数: 22
中文摘要:
      灰色聚类法把湖泊系统当作一个灰色系统来研究,将灰色聚类理论应用于湖泊富营养化程度的评价中,以广州市荔湾湖为例,建立不同的聚类指标所拥有的隶属函数,确定聚类权重值,求得最大聚类系数及聚类结果,得出用灰色聚类法进行湖泊水质富营养化评价,既能体现水质等级界线的模糊性,又能充分利用信息,避免了模糊数学法的不合理之处。因而,灰色聚类法是一种简便、客观、可靠的方法。
英文摘要:
      This paper studies lake system as a grey system, applies the grey system theory to assess the the eutrophication of lake, and exemplifies the lake of Liwan,in the city of Guangzhou, firstly establishing the functions of different clustering indices, secondly ascertaining the value of clustering weight, thirdly obtaining the maximum clustering coefficient and the clustering outcomes, lastly drawing a conclusion that the application of the grey clustering method to assess the eutrophication of lake not only embodies the fuzzy property of grading sideline of water quality, but also can utilizes adequately information, avoides the irrationality of fuzzy mathematical assessing method. Therefore, the grey clustering is a simple, convenient, external and reliable method.
查看全文  查看/发表评论  下载PDF阅读器