Water quality evaluation of Dahai Lake in Inner Mongolia based on improved Nemero pollution index method and principal component analysis

Abstract

In order to evaluate the water quality changes of Dahai Lake in Inner Mongolia, the water quality monitoring data of Dahai Lake from 2008 to 2021 were used as an example, and the improved Nemero pollution index method and the principal component analysis method were used to evaluate the water quality changes of Dahai Lake. The results show that the two evaluation methods of Daihai Lake evaluation of water quality change trend results are basically the same, are able to fully reflect the comprehensive level of water quality pollution, but each evaluation method has disadvantages, the improved Nemero pollution index method can not reflect the contribution of each pollutant, the principal component analysis method can not evaluate the water quality category. Therefore, the combination of two methods, the improved Nemero pollution index method and the principal component analysis method, can complement and support each other's evaluation conclusions, and the evaluation results are more accurate and objective, and can reflect the changes in the water quality of Daihai Lake in a comprehensive manner.