Water is the source of human life. It plays an important role in people's daily life, industry and agricultural production. However, at this stage, there is not only a large amount of waste of water resources, but also a serious problem of water pollution, which makes water resources further scarce. Based on this, this paper has studied the prevention and control of water pollution (WP), carried out research from the perspective of evaluation of WP prevention and control effect, and proposed a method for evaluating the effect of WP prevention and control measures, namely, water quality prediction and evaluation method based on blockchain and improved support vector machines (SVM). This paper has analyzed the accuracy of the proposed method, and used the proposed method to evaluate the effect of WP prevention and control measures for river S. The conclusion is as follows: The mean square error generated by the improved SVM method is about 0.1, and the root mean square error generated is about 0.32. This method has good prediction accuracy. The water pollution of river S has improved compared with that before, and its water quality has reached Class III. In addition, this paper has put forward suggestions to optimize WP prevention and control measures by using blockchain technology to improve WP monitoring effect and strengthen supervision.

Johannes Ehrlich. Evaluation of Effectiveness of Water Pollution Prevention and Control Measures by Integrating Artificial Intelligence and Blockchain. Water Pollution Prevention and Control Project (2022), Vol. 3, Issue 2: 21-31. https://doi.org/10.38007/WPPCP.2022.030203.

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