主成分分析法在海河流域多条河流水质评价分析中的应用  

Application of Principal Component Analysis in Water Quality Evaluation of Several Rivers in Haihe River Basin

作　　者：廉铁辉 王钊[2] 王洪翠[2] 罗阳 LIAN Tie-hui WANG Zhao WANG Hong-cui LUO Yang(Yinluan Project of Yuqiao Reservoir Management Office of Tianjin Municipality, Tianjin 301900, China Haihe River Basin Water Environment Monitoring Center, Tianjin 300170, China Haihe River Basin Water Resources Protection Bureau, Tianjin 300170, China)

机构地区：[1]天津市引滦工程于桥水库管理处,天津301900 [2]海河流域水环境监测中心,天津300170 [3]海河流域水资源保护局,天津300170

出　　处：《海河水利》2017年第2期29-31,37,共4页Haihe Water Resources

摘　　要：水质评价是获得水环境现状及其水质分布状况、对河流水质质量进行定性或定量的评定,是水质保障的重要措施之一。利用SPSS软件,采用主成分分析法,对11个不同河流站点的高锰酸盐指数、化学需氧量、氨氮、总磷、铜、氟化物、铁、锰8个水质指标进行了分析计算,从原始数据中提取总方差72.88%的2个因子来反映水体的污染程度。结果表明,主成分分析方法在指标权重选取方面可以减少主观误差,操作简单,并且具有一定的优越性。Water quality assessment is one of the important measures for drinking water safety. With the help of SPSS software, CODMn, COD, NH3-N, TP, Cu, F , Fe, Mn of water samples in 11 different rivers were analyzed and calculated using the principal component analysis. The pollution degree of rivers was reflected by the two factors that account for 72.88% of the total variance were extracted from the original data. The results show that principal component analysis which should minimize the subjective error in the aspect of index weight selected is simple in operation and has certain advantages.

关 键 词：主成分分析法 水质评价 SPSS软件 海河流域 

分 类 号：X824[环境科学与工程—环境工程]