首页 | 本学科首页   官方微博 | 高级检索  
     检索      

一种改进的灰关联分析法在水质评价中的应用
引用本文:赵天燕,贺方升,侯祺棕,梁爱萍.一种改进的灰关联分析法在水质评价中的应用[J].安全与环境学报,2005,5(1):26-29.
作者姓名:赵天燕  贺方升  侯祺棕  梁爱萍
作者单位:武汉理工大学资源与环境工程学院,武汉,430070;武汉理工大学资源与环境工程学院,武汉,430070;武汉理工大学资源与环境工程学院,武汉,430070;武汉理工大学资源与环境工程学院,武汉,430070
摘    要:灰关联分析法已被广泛应用于水质评价结论的定量化,但其存在不同层次上的缺陷;为此本文对其进行了改进.先将各断面的多个污染指标分成几个低层次子集,将其元素归一化后得出相应的关联系数,通过赋予一定权重求出低层次子集的关联度,最后求出较高层次的关联度,并列出关联系数矩阵.这样可以容易地看出各断面水质属于哪个级别.此外,通过一应用实例并与现已流行的众多灰关联改进方法进行了比较,论证了这种改进方法的优越性.

关 键 词:环境工程  灰关联分析法  水质评价  方法改进
文章编号:1009-6094(2005)01-0026-04
修稿时间:2004年7月13日

Application of improved gray relation analysis method for water quality assessment in aquatic system
ZHAO Tian-yan,HE Fang-sheng,HOU Qi-zong,LIANG Ai-ping.Application of improved gray relation analysis method for water quality assessment in aquatic system[J].Journal of Safety and Environment,2005,5(1):26-29.
Authors:ZHAO Tian-yan  HE Fang-sheng  HOU Qi-zong  LIANG Ai-ping
Abstract:This paper aims at introducing the author's research on the environmental assessment method, especially on the water quality assessment. In the article, the gray relation analysis method is first of all introduced together with its widely existing various disadvantages. Then we have analyzed and divided the pollution indexes of every section into several definite low level subsets. By way of normalizing the respective elements, the corresponding relational coefficients are figured out. Next, relational grades of the lower level subsets are sorted out through vesting certain weight to every element, and finally the relational grades of the higher level have been gained and established with a list of relational coefficient matrix. Thus it would be easy to find the level of water quality of each section. In addition, through exemplary illustration and comparison with other current methods for gray relation analysis, ours is better than the other existing ones.
Keywords:environmental engineering  gray relation analysis method  water quality assessment  improved method  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号