主成分和聚类分析应用于淮南矿区地下水水质评价  

BASED ON THE PRINCIPAL COMPONENT AND CLUSTER ANALYSIS TO ASSESS THE WATER QUALITY OF THE GROUNDWATER IN HUAINAN MINING AREA

作　　者：蒋群[1] 许光泉[1] 梁修雨[1] 

机构地区：[1]安徽理工大学资源与环境工程系,安徽淮南232001

出　　处：《能源环境保护》2007年第2期51-53,59,共4页Energy Environmental Protection

摘　　要：运用主成分方法分析淮南矿区23个地下水样的7个水样指标,提取出4个主成分,应用聚类分析对该4个主成分的得分进行聚类。在此基础上,将主成分得分与其对应的特征值相乘,得到水质综合评价指数。聚类分析后水样划分为5类,对每一类的水质综合评价指数取平均值,从而确定水质等级。Seven water indexes of 23 groundwater samples which are collected in huainan minning area, are analyzed by using the principal component method, then, we extract four principal com- ponents, using cluster analysis to cluster the scores of them. Therefore, we can get the synthetic evaluation number of the water quality according to multiply each the principal component score with its total. By the method of cluster analysis, the water samples are divided into 5 clusters, then, calculating the average of the synthetic evaluation number in each cluster to define the rank of the water quality.

关 键 词：主成分分析 聚类分析 地下水 水质评价 

分 类 号：X824[环境科学与工程—环境工程]