SPSS模糊聚类分析法在虹口区监测断面水质分类中的应用

Application of SPSS Fuzzy Cluster Analysis Method in Water Quality Classification of Monitoring Section in Hongkou District

由于采用精确关联的方法如单污染指数法等,对水环境质量的评价的大都存在一定的片面性,而模糊聚类方法对类似“水污染程度”这类界限不清或者隶属关系不明的问题具有很大的优势,故采用该法对虹口区不同监测断面的水质数据进行了处理,并采用SPSS模糊聚类分析法进行了聚类分析。结果表明:聚类分析结果与实际水系分布情况具有较高的一致性,模糊聚类方法可将监测断面的界限划分得较为清晰,此方法在水质分类中具有一定的优越性,利用模糊聚类分析方法对虹口区水环境质量进行划分,具有客观性与科学性,能够真实地反映虹口区水环境质量状况。

Most of the accurate correlation methods,such as single pollution index method,have a certain one-sidedness in the evaluation of water environmental quality,while fuzzy clustering method has great advantages for problems with unclear boundaries or membership,such as"degree of water pollution".In this paper,the water quality data of different monitoring sections in Hongkou district were processed and cluster analysis was carried out by using SPSS fuzzy cluster analysis method.The results show that the clustering analysis results and the actual water system distribution has high consistency.Fuzzy clustering method can divide the boundary of the monitoring sections more clearly.This method has a certain superiority in the water quality classification.The division on water environmental quality of Hongkou district by using fuzzy clustering analysis method is objective and scientific,which can truly reflect the water environment quality of Hongkou district.