Although the government is committed to the water pollution control of Xiangjiang River, due to the heavy pollution in the Xiangjiang River Basin, the control mechanism is not very scientific, resulting in poor pollution control effect. Therefore, it is particularly important to establish a complete set of governance mechanisms for water pollution control in the Xiangjiang River Basin. The purpose of this paper is to study the mechanism of water pollution control in the Xiangjiang River Basin based on machine learning. The countermeasures and suggestions for improving the water pollution control mechanism in the Xiangjiang River Basin are put forward. For the emergency management of water pollution, researches are carried out based on methods such as machine learning anomaly detection. Using case reasoning and rule reasoning to build an expert system for sudden water environmental pollution, it provides valuable opinions and solutions in dealing with sudden water environmental pollution. According to the accuracy and recall rate of the two algorithms, CART is better than the other two algorithms through comparative evaluation, so CART is adopted for rule reasoning.

Gatenby Robert. The Mechanism of Water Pollution Control in Xiangjiang River Basin Based on Machine Learning. Academic Journal of Environmental Biology (2020), Vol. 1, Issue 2: 10-17. https://doi.org/10.38007/AJEB.2020.010202.

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