Research on Monitoring Methods of Organic Pollution in Watershed Water Environment Based on Machine Learning

Based on reviewing the advanced experience of developed countries in water environment monitoring technology, this research analyzes the characteristics of China's current water environment monitoring technology system in river basins, and points out the problems and impacts of China's water environment monitoring technology compared with developed countries. The validity and efficiency of monitoring are proposed. The design principles for improving the water environment monitoring technology system of China's river basins are proposed: the consistency of monitoring objects and the ecological functions of the river basin, the consistency of monitoring indicators and the characteristics of water environment pollution, the consistency of monitoring methods and quality control, and the consistency of monitoring methods and monitoring purposes; at the same time, it is proposed and established a machine learning-based organic pollution prediction system for the watershed in the watershed, to provide technical support for the transformation of water quality management technology in China.