Water quality evaluation of Gaoyou Lake based on principal component analysis and water quality identification index method
In order to find out the water quality distribution characteristics of Gaoyou Lake and its surrounding rivers,the SPSS soft-ware was used to conduct principal component analysis on the monitoring data of 25 water quality samples(August 2020)in the lake and its surrounding areas,and the water quality identification index method was used for qualitative and quantitative evaluation.In prin-cipal component analysis,7 water quality indexes were integrated into 3 principal components for interpretation,the interpretation rate was 75.62％,and the control indexes were total phosphorus,ammonia nitrogen,total nitrogen and F-.The single factor water quality labeling index method divides the water quality into class ⅣandⅤ,and the comprehensive index evaluation finds that the water quali-ty in the study area is not higher than class Ⅲ,and the index size ranking is consistent.The results show that the indexes with serious exceedance(total phosphorus and total nitrogen)are easy to cover up the information of other water quality indexes,and have a great influence on the classification of water quality.The results of principal component analysis(PCA)and water quality identification index(WPI)are basically consistent,and the order of point pollution index is in good agreement.The degree of water pollution is as follows:river system entering the lake＞river system exiting the lake＞Gaoyou Lake body,indicating that the water system entering the lake is an important factor of water pollution in the lake.The combination of the two evaluation methods can not only screen out the water pollu-tion index,but also fill in the water quality classification information on the basis of the quality ranking,so that the evaluation results are more detailed and reliable.
principal component analysiswater quality identification indexwater quality evaluationcorrelation analysisGaoyou Lake
万方数据
维普
