Construction of Water Pollution Early Warning System Based on Clustering Algorithm and Machine Learning

Abstract

With the rapid development of industry and towns, environmental pollution accidents occur frequently. It is of great significance to establish a sound environmental monitoring and early warning system to ensure the safety of water environment and people's water use. On this basis, this paper deeply discussed the early warning of water pollution, and proposed a water pollution early warning system based on clustering algorithm. The research showed that when the water pollution early warning system was used to monitor and warn the harmful substances such as formaldehyde, cyanide and Chemical Oxygen Demand (COD), the average absolute error of the water pollution early warning system when monitoring the four harmful substances was about 0.67, and the mean square error of the water pollution early warning system when monitoring the four harmful substances was about 0.66. From the perspective of the mean absolute error and mean square error, it could be seen that the water pollution early warning system based on clustering algorithm had good detection accuracy. In addition, in the evaluation study of the water pollution early warning system, this paper reached the conclusion that most of the monitoring and early warning technicians were relatively approved of the water pollution early warning system.