基于主成分和地统计的太湖水质分析

Water Quality Evaluation of Taihu Lake Based on Principal Component Analysis and Geostatistical Analyst

以太湖为试验区,对其2007年33个观测点的10项水质参数进行了主成分分析,第一主成分主要反映了水体的富营养化程度及有机污染;第二主成分代表了太湖的理化特征;第三主成分反映了太湖的物理特征和微生物特性。根据第一主成分,结合地统计对太湖水质进行评价。评价结果表明太湖北部的五里湖和西北部湖区污染最为严重。表明主成分分析法在水质评价上指导性较强,是一种行之有效的水质评价方法。

Taken Taihu Lake as the study area,ten items of water quality parameters observed in thirty-three observation stations in 2007 were analyzed by the principal component analysis(PCA).The first principal component(PC) reflects the changes due to the eutrophication and organic contaminant.While DO and pH are the main parameters responsible for the second PC.The third PC indicates the predominance of changes due to temperature and coliforms.The water quality of Taihu Lake was evaluated by the first principal components.The Kriging interpolation was applied to estimate its spatial distribution,which showed the most serious area was still happed in the west-north and Wuli lake located in the north of Taihu Lake.The results shows that the principal component analysis is an efficient method of water quality evaluation.