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灰色关联分析用于近海水污染区域性特征研究
引用本文:牛志广,张宏伟.灰色关联分析用于近海水污染区域性特征研究[J].天津大学学报(自然科学与工程技术版),2006,39(Z1):311-315.
作者姓名:牛志广  张宏伟
作者单位:天津大学环境科学与工程学院 天津300072
基金项目:天津市科技发展计划资助项目(033113811).
摘    要:针对我国近海水污染特征难于辨析的问题,应用灰色系统理论和统计学的方法,提出了一种新的基于环境监测数据的近海水污染区域性特征的分析方法.以天津市近岸海域为例,对近海水环境监测点进行关联分析,计算监潮点之间的B型关联度,并建立了关联度矩阵和关联度排序矩阵;根据上述矩阵中的信息,采用k-means方法对监测点进行聚类,将研究海域内的监测点按照不同的陆源影响分成3个污染特征区域.应用研究表明,该方法原理简单,实用性强,非常有利于环境管理.

关 键 词:近海  水污染  B型关联度  关联度矩阵  k-means
文章编号:0493-2137(2006)增刊-0311-05
修稿时间:2005年4月21日

Regional Characteristics of Coastal Water Pollution by Grey Association Analysis
NIU Zhi-guang ZHANG Hong-wei.Regional Characteristics of Coastal Water Pollution by Grey Association Analysis[J].Journal of Tianjin University(Science and Technology),2006,39(Z1):311-315.
Authors:NIU Zhi-guang ZHANG Hong-wei
Abstract:Against the complicated pollution characteristics of Chinese coastal marine,a new method for analy- zing the regional characteristics of coastal water pollution was proposed based on grey system theories and statis- tics.Firstly,taking coastal marine of Tianjin as an example,the grey association analysis between monitoring points was done,which induced to the B type association degree matrix and its sort order matrix.Then,using the information in the above two matrixes,the monitoring points were clustered by k-means method and the studied coastal marine was divided into three subareas according to their corresponding inlet rivers.It can be found from application that the method proposed in this paper is simple,practical and suitable for environmental management.
Keywords:coastal marine  water pollution  B type association degree  association degree matrix  k-means
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