Evaluation of landscape water bodies using fuzzy cluster and multivariate statistical techniques

The fuzzy cluster and different multivariate statistical techniques were used to evaluate landscape water bodies (LWB) of Wenzhou using data sets of 7 different sites. The fuzzy cluster and hierarchical cluster analysis grouped seven sampling sites into three clusters i.e. highly pollution level (HPL), medium pollution level (MPL) and less pollution level (LPL) sites based on the similarity of water quality characteristics. The factor analysis showed that factor1 included BOD, COD, TP and NH₄-N, whereas factor1 included Chla. The order of general pollution in LWB was Chasan north River, Chasan south River, Wenshiyuan River, Maanchi Park, Zhongsan Park, Jiusan Park and Xiusan Park. The results of fuzzy cluster and hierarchical cluster analysis are in good agreement with the discriminant analysis. The fuzzy cluster and multivariate statistical techniques are useful tools of data mining for evaluation and classification of landscape water bodies and may be applicable to analysis and assessment of other surface water.