| 废黄河水质多元化的统计分析 |
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| 引用本文： | 蒋同斌.废黄河水质多元化的统计分析[J].数学的实践与认识,2011,41(23). |
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| 作者姓名： | 蒋同斌 |
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| 作者单位： | 淮阴工学院数理学院,江苏淮安,223003 |
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| 基金项目： | 淮安市科技项目(HAS07013) |
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| 摘 要： | 用主成分分析的方法,找出影响废黄河2007年水质的主成分,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,结合分类结果及水质综合评分对各样本水质进行评价.结果表明,主要影响废黄河2007年水质的监测变量为BOD5、TP、CODcr及NH4_n;11月份废黄河的水质最差;从监测断面看,立新瓦厂的水质好于活动坝的水质.
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| 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 Abandoned Yellow River |
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| JIANG Tong-bin.Multivariate Statistical Analysis of Water Quality of the Abandoned Yellow River[J].Mathematics in Practice and Theory,2011,41(23). |
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| Authors: | JIANG Tong-bin |
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| Institution: | JIANG Tong-bin (School of Mathematics and Phyics,Huaiyin Institute of Technology,Huaian 223003,China) |
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| Abstract: | Through principal components analysis,we obtain the principal components which mainly affect the water quality of the Abandoned Yellow River,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.At last we evaluate water quality of each samples according to the classification results and water quality comprehensive score.The results demonstrate that variants BOD5,TP,CODcr and NH4_n primarily affeact wate... |
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| Keywords: | multivariate statistical analysis principal components analysis cluster analysis water quality evaluation |
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