Water Quality Prediction Is A Research Hotspot In The Field Of Ecological Environment, Which Is Of Great Significance To The Prevention Of Water Pollution And The Construction Of Automatic Water Quality Monitoring Network. The Accuracy Of Prediction Model Results Will Affect The Scientificity And Correctness Of Applied Engineering Projects, As Well As The Accuracy Of Water Pollution Control Measures. Firstly, The Background Of Water Quality Prediction And The Development And Research Trends Of Water Quality Models At Home And Abroad Are Systematically Introduced. Then, The Water Quality Prediction Method Based On Machine Learning Is Mainly Introduced, Focusing On Time Series Prediction Method, Regression Analysis Method, Neural Network Method And Combination Prediction Method. The Applicability And Limitations Of The Model Are Analyze Respectively. Finally, According To The Research History And Present Situation Of Water Quality Prediction Model, The Development Trend Of Water Quality Prediction Model Is Prospected.
