摘要
选取通济堰2014年CODMn、NH3-N、DO等8种水质指标的监测数据,使用主成分分析法(PCA法)进行水质评价。针对PCA法无法进行水质分类的缺陷,提出一种类似内梅罗评价理论的PCA水质分类法,并将分类结果与模糊评价法、内梅罗法和改进的内梅罗法等评价方法的分类结果进行比较。结果表明,PCA法可以直观地描述河流不同月份的污染特征,基于评价结果,使用PCA水质分类法进行水质分类,从而能更加准确地掌握不同月份水质污染的程度。
Principal components analysis （PCA） was applied to assess the water quality of Tongjiyan River in 2014,based on the monitoring data of 8 indicators of CODMn,NH3-N,DO,and etc.Aimed at the disadvantage of PCA method on classification of water quality,a PCA similar to Nemerow approach on water quality classification was proposed,and the comparisons among classification results with fuzzy evaluation method,Nemerow approach,and modified Nemerow approach were made.The results showed that PCA could intuitively describe the pollution characteristics in different months,and based on the evaluation results,using PCA water quality classification method to classify water samples could understand the water pollution degree in different months more accurately.
出处
《四川环境》
2016年第3期41-45,共5页
Sichuan Environment
基金
教育部新世纪优秀人才支持计划项目(NCET-11-0710)
关键词
水质评价
主成分分析法
水质分类
Water quality assessment
principal component analysis （PCA）
water quality classification
