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
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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 soft-ware,COD_(Mn),COD,NH_3-N,TP,Cu,F~-,Fe,Mn of water samples in 11 different rivers were analyzed and calculated usingthe principal component analysis. The pollution degree of rivers was reflected by the two factors that account for 72.88% ofthe total variance were extracted from the original data. The results show that principal component analysis which shouldminimize the subjective error in the aspect of index weight selected is simple in operation and has certain advantages.
Water quality assessment is one of the important measures for drinking water safety. With the help of SPSS soft-ware,COD_(Mn),COD,NH_3-N,TP,Cu,F~-,Fe,Mn of water samples in 11 different rivers were analyzed and calculated usingthe principal component analysis. The pollution degree of rivers was reflected by the two factors that account for 72.88% ofthe total variance were extracted from the original data. The results show that principal component analysis which shouldminimize the subjective error in the aspect of index weight selected is simple in operation and has certain advantages.
引文
[1]卢文喜,李迪.基于层次分析法的模糊综合评价在水质评价中的应用[J].节水灌溉,2011(3):43-46.
[2]Jacobs H L.Water quality criteria[J].Journal of Water Pollu-tion Control Federation,1965,37(5):292-300.
[3]Nemerow N L.Scientific stream pollution analysis[M].NewYork:Mc Graw Hill,1974:127-150.
[4]Sasikumar K,Mujumdar P P.Fuzzy optimization model for water quality management of a river system[J].Journal of Wa-ter Resources Planning and Management,1998,124(2):79-88.
[5]龚艳冰,张继国.基于全排列多边形综合图示法的水质评价[J].中国人口·资源与环境,2011,21(9):26-31.
[6]邹国平,彭梅香.数据挖掘技术在水质评价中应用研究[J].计算机仿真,2012,29(1):148-151.
[7]牛红惠,尚艳玲.模糊神经网络在水质评价中的研究[J].计算机仿真,2012,29(4):173-176.
[8]关全成,赵双喜.模糊贴近度法在水质评价中的应用[J].节水灌溉,2012(7):43-46.
[9]余勋,粱婕.基于三角模糊数的贝叶斯水质评价模型[J].环境科学学报,2013,33(3):904-909.
[10]冯利华.环境质量的主成分分析[J].数学实践与认识,2003,33(8):32-35.
[2]Jacobs H L.Water quality criteria[J].Journal of Water Pollu-tion Control Federation,1965,37(5):292-300.
[3]Nemerow N L.Scientific stream pollution analysis[M].NewYork:Mc Graw Hill,1974:127-150.
[4]Sasikumar K,Mujumdar P P.Fuzzy optimization model for water quality management of a river system[J].Journal of Wa-ter Resources Planning and Management,1998,124(2):79-88.
[5]龚艳冰,张继国.基于全排列多边形综合图示法的水质评价[J].中国人口·资源与环境,2011,21(9):26-31.
[6]邹国平,彭梅香.数据挖掘技术在水质评价中应用研究[J].计算机仿真,2012,29(1):148-151.
[7]牛红惠,尚艳玲.模糊神经网络在水质评价中的研究[J].计算机仿真,2012,29(4):173-176.
[8]关全成,赵双喜.模糊贴近度法在水质评价中的应用[J].节水灌溉,2012(7):43-46.
[9]余勋,粱婕.基于三角模糊数的贝叶斯水质评价模型[J].环境科学学报,2013,33(3):904-909.
[10]冯利华.环境质量的主成分分析[J].数学实践与认识,2003,33(8):32-35.