采用主成分分析和水质标识指数评价敖江流域水质

根据2017年3月至2018年3月敖江流域的4个断面的水质监测数据,采用主成分分析法(PCA)识别流域水质时空变化特征,并采用水质标识指数法对敖江流域水质状况进行综合评价.PCA将8项水质指标转换为3种主成分,解释了原数据集83.144%的信息.分析结果表明:敖江流域水质受上游石板材工业、中下游农业、畜禽养殖业和下游人口分布影响较大,且污染呈现季节性变化;敖江流域整体水质较好,各监测断面水质情况受单项水质指标的影响显著,且流域整体污染呈现从上游往下游加重的趋势.

Water Quality Evaluation of Aojiang River Basin Using Principal Component Analysis and Water Quality Index

According to the water quality monitoring data of four sections in the Aojiang River Basin from March 2017 to March 2018, the principal component analysis(PCA)was used to identify the temporal and spatial variation characteristics of water quality in the basin, and the water quality identification index method was used to comprehensively evaluate the water quality of the Aojiang River. The method of PCA converted eight water quality indicators into three principal components and 83.144% of the original data information was explained. The analysis results showed that the water quality of the Aojiang River Basin was affected by the stone plate industry of the upstream, the agriculture and livestock and poultry breeding industry in the middle and lower reaches, and the population distribution of the downstream, furthermore, the pollution presented seasonal changes; and the overall water quality of the Aojiang River was relatively good, the water quality of each monitoring section was significantly affected by the single water quality index, and the overall pollution of the watershed showed an aggravating trend from upstream to downstream.