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京杭大运河淮安段水质的多元统计分析
引用本文:冯梅,徐浙峰.京杭大运河淮安段水质的多元统计分析[J].环境科学与管理,2008,33(6):113-116.
作者姓名:冯梅  徐浙峰
作者单位:1. 淮安信息职业技术学院基础部,江苏,淮安,223003
2. 江苏省淮安市环境保护局,江苏,淮安,223001
基金项目:淮安市科技项目的部分内容,项目
摘    要:以京杭大运河淮安段4个水质监测断面2007年的水质监测数据为样本,用主成分分析的方法,找出影响京杭大运河淮安段水质的主成分,计算各样本的主成分得分,用聚类分析的方法将样本水质分类,根据水质综合评分公式,计算各监测断面各月份水质综合评分,结合分类结果及水质综合评分对各样本水质评价结果为:监测断面黄码大桥的水质最差;另3个监测断面1、3月份的水质最好;而监测断面板闸的水质又好于监测断面五叉河口及大运河桥的水质。

关 键 词:多元统计分析  主成分分析  聚类分析  水质评价

Multivariate Statistical Analysis of Water Quality of the Beijing -Hangzhou Grand Canal
Feng Mei,Xu Zhefeng.Multivariate Statistical Analysis of Water Quality of the Beijing -Hangzhou Grand Canal[J].Environmental Science and Management,2008,33(6):113-116.
Authors:Feng Mei  Xu Zhefeng
Institution:Feng Mei ,Xu Zhefeng ( 1. Department of Basal, Huaian Information Technology College, Huai'an 223003, China ; 2. Huai'an City of Jiangsu Province Environmental Protection Bureau, Huai'an 223001, China)
Abstract:Taking water quality monitoring data of Beijing - Hangzhou Grand Canal within Huaian section in 2007 as sampies, through principal components analysis, we obtain the principal components which mainly affect the water quality of the Beijing - Hangzhou Grand Canal, and calculate the score of the principal components of each samples, then with the utility of cluster analysis methods, we classify the water quality of samples. According to the formula of water quality comprehensive score, we calculate water quality comprehensive score of each section in different months. We evaluate water quality of each samples according to the classification results and water quality comprehensive score, and at last we obtain the results as follow:the water quality of Huangma Bridge is the worst, the water quality of other three sections in January and March is the best; the water quality of Banza section is better than Wuchahe and Grand Canal Bridge sections.
Keywords:multivariate statistical analysis  principal components analysis  cluster analysis  water quality evaluation
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