聚类分析法在水质监测断面水质分析中的应用

The application of SPSS clustering analysis on water quality monitoring sections

为了在不影响污水治理的前提下减少监测断面的设定,利用SPSS中聚类分析的方法对滏阳河河段上八个监测断面的监测资料,选取COD、氨氮等五个水质指标监测数据进行优化分类,并对监测断面的水质变化趋势做了简要的分析。结果表明:Ⅰ类监测断面(南留旺、东武仕水库、木鼻、张庄桥)水质较好,Ⅱ类监测断面(沁河苏曹站、曲周南干渠)和Ⅲ类监测断面(苏里、莲花口)的水质污染较为严重,而这些监测断面均位于邯郸市区内或者是经过市区以后的一段距离内。因此邯郸市区内的重污染企业仍是水污染的主要污染源。聚类分析法可以很好地将多个水质断面进行归类分析,并对河水污染治理起到指导作用。

In order to reduce the monitoring section settings without affecting the water pollution control,the SPSS clustering analysis is used in this paper.This paper is based on monitoring data of eight monitoring sections of Fuyang River and the spss cluster analysis is used to cluster five water quality indexes,such as COD,ammonia nitrogen and so on.This paper also makes a brief analysis of water quality variation on some monitoring sections.The results show that eight monitoring sections are divided into three categories.Thereby,this paper determines the affinities between the monitoring sections.It implied that clustering analysis can play a very good role in categorization analysis of multiple monitoring sections and water pollution control of Fuyang River.