A kind of classification method for evaluating water qualities

Evaluation of water quality based on monitoring data and intelligent information processing algorithm has great significance for the management of lake resources. For the classification of water quality of Chaohu, Random Forest algorithm was used to evaluate the classification of the water quality of this area. Compared with some typical data-driven methods, this method has higher precision of classification and better tolerance of noise. The experiment result shows that the accuracy rate of water quality classification in Hubin monitoring section can reach 96.15%, and the accuracy rate of water quality classification in Yu Xikou monitoring section can reach 100%. The RF method has higher classification accuracy, fine stability and generalization.