基于主成分分析法的内蒙古某旗自备井水元素分析  

Elemental analysis of self-provided well water in a Banner of Inner Mongolia based on principal component analysis

作　　者：郑奇光[1] 刘盛田[1] 李小弋 ZHENG Qi-guang;LIU Sheng-tian;LI Xiao-yi(Shunyi District Center for Disease Control and Prevention,Beijing 101300,China)

机构地区：[1]北京市顺义区疾病预防控制中心,北京101300

出　　处：《中国卫生检验杂志》2021年第21期2585-2588,共4页Chinese Journal of Health Laboratory Technology

摘　　要：目的 了解内蒙古某旗自备井水的铁、锰、铜、锌、砷、硒、镉、铝、铅的含量情况,掌握影响水质的主要指标,探索主成分分析方法在水质综合评价中的应用,为更好地进行水质监测与评价提供方法。方法 采用主成分分析方法对随机抽样967件自备井水9种元素的检测结果进行评价。结果 根据《生活饮用水卫生标准》(GB 5749-2006),砷的超标率为4. 2%。主成分分析结果是F1、F2、F3、F4 4个主成分的累计方差贡献率为61. 462%,第一主成分F1与对应的铁、锰有高度正相关性,第二主成分F2与对应的砷、铝有高度正相关性,第三主成分F3与对应的砷、镉有高度正相关性。结论 主成分分析方法是一种较好的水质元素综合评价的多元统计方法,对复杂的数据可以进行降维,统计方便,结果清晰。根据主成分分析结果,铁、锰、砷可作为本次调查研究饮用水中9中元素中的特征元素。Objective To investigate the contents of iron,manganese,copper,zinc,arsenic,selenium,cadmium,aluminum and lead in self-provided well water in a Banner of Inner Mongolia,to grasp the main indicators that affect water quality and to explore the application of principal component analysis in comprehensive evaluation of water quality,and to provide a method for better monitoring and evaluation of water quality.Methods The principal component analysis method was used to evaluate the test results of 9 elements in 967 water samples from random selected self-provided well.Results According to the Sanitary-Standards far Drinking Water(GB 5749-2006),the excessing rate of arsenic was 4.2%.The result of.principal component analysis showed that the cumulative variance contribution rate of the four principal components of Fl,F2,F3,and F4 was 61.462%.The first principal component Fl had a high positive correlation with the corresponding Fe and Mn.The second principal component F2 had a high positive correlation with As and Al.The third principal component F3 had a high positive correlation with As and Cd.Conclusion The principal component analysis method is a good multivariate statistical method for comprehensive evaluation of water quality.It can reduce the dimensionality of the complicated data and show clear results.According to the results of principal component analysis,Fe,Mn and As can be used as the characteristic elements among the 9 elements in drinking water in this investigation.

关 键 词：水质评价 砷 主成分分析 

分 类 号：R123.1[医药卫生—环境卫生学]