基于主成分分析和熵值法的景观水水质评价

Evaluation of Landscape Water Quality Based on Principal Component Analysis and Information Entropy

针对主成分分析法忽略数据离散程度的问题,提出把主成分分析和熵值法结合起来确定权重的方法,建立了水质评价模型,并采用该模型对郑州市景观水水质情况进行评价。与单独采用主成分分析和熵值法的评价结果相比,主成分分析和熵值法结合具有可行性与实用性,更适合景观用水水质评价。郑州市将中水用作景观水的实践总体来说效果不错,但在个别月份需对个别水质指标进行控制。

In order to solve the problem that principal component analysis ignores the degree of data dispersion,a method which combining principal component analysis and information entropy had been developed to obtain the weights of indicators.The water quality evaluation model was established and the quality of landscape water in Zhengzhou is evaluated.This method is more proper to water quality evaluation on landscape water comparing to principal component analysis or information entropy,and the results prove that the method is feasible and practical.Using recycled water as landscape water in Zhengzhou has sound effects,but in some months some water quality indexes need to be controlled.