Research on a Multi-Index Comprehensive Evaluation Method for Surface Water Quality Assessment

Abstract

The evaluation of surface water quality is a problem which relates to whether the environmental function and value do possess or not in the water. A new comprehensive evaluation method which combines Principal Component Analysis (PCA) and the weighted grey correlation method was presented in this paper. The reduction of indicators and the weakening of the multiple correlation among indicators were considered in Principal Component Analysis. According to different functional areas categories of every section, the weighted grey correlation method could determine the evaluation indicator’s weights, strengthen the effect of concerntrations of indicators and consider each indicator’s impact. The Mudanjiang River downstream sections were used as the research object. Based on the water quality monitoring data of typical monitoring section in 2013, the study on the environmental quality assessment of downstream section in mudanjiang was given in this paper. The efficiency of the evaluation process and the accuracy of the results can be improved.