主成分分析法在黄河三门峡库区水质评价中的应用

借助SPSS软件,根据主成分分析法的原理,以多年的监测资料为依据,对三门峡库区干流段的污染情况进行了评价.结果表明,在汛期和非汛期,接受评价的4个断面中,有机物和重金属是污染的主要因素,4个断面在不同时段污染程度有差别.得到的结果与实际情况相符,表明主成分分析方法简单、明了,是比较实用的水质评价方法.

Application of Principal Component Analysis to the Water Quality Evaluation of Sanmenxia Reservoir in the Yellow River

Based on the principle of principal component analysis and years of monitoring data,the pollution of the mainstream segment in Sanmenxia Reservoir area was evaluated with SPSS software.The results indicated that the organics and heavy metals pollution were the main pollution factors during the flood season and non-flood season in the four sections assessed,and there were differences in the degree of pollution at different times for four sections.The results obtained were consistent with the actual situations,which manifested the principal component analysis method was simple and was a kind of practical method of water quality evaluations.