基于多元统计分析的浐灞河水质污染特征研究

Evaluation of Water Pollution Characters in Chanba River Based on Multivariate Statistical Analysis

为量化分析浐灞河的水质状况,确定影响水质的主要污染因子及来源,采用主成分分析(PCA)法和绝对主成分得分/多元线性回归分析(APCS/MLR)法对浐灞河14个断面8个指标的数据进行水质评价。结果表明:618渠、浐河口断面的水质污染严重,咸宁桥、长乐桥断面的水质较差,田王桥、C号坝断面的水质较好;浐灞河水体主要受有机物和富营养化的污染;确定的3个主成分对各污染因子的污染贡献率为60.090%~82.990%。该研究结果与实际调查结果相符,说明针对浐灞河的多元统计分析可以真实、客观地反映该地区的水质情况和污染物来源。

In order to quantify and analyze water quality of Chanba River and find out the main pollution factors as well as sources,principal component analysis(PCA)and the multivariate linear regression of the absolute principal component scores(APCS/MLR)were applied to evaluate the water quality based on8parameters of14monitoring sections.The results show:the water of Canal618and Chan River mouth is seriously polluted;the water of Xianning Bridge and Changle Bridge,is in poor quality;water quality at the section of Tianwang Bridge and Dam C is in good conditions;organics and eutrophication are the main pollution sources;the pollution contribution rates of three principal components to each pollution factor range from60.090%to82.990%.The results are in conformity with the actual survey,so it is reliable to reflect the water quality and pollution sources in Chanba River with multivariate analysis statistical method.