The sewage produced by human beings would cause great harm to human health. Therefore, it is necessary to treat all kinds of waste water and discharge it after reaching relevant standards. This paper discussed and analyzed the current situation, existing problems, optimization strategies and technologies of wastewater treatment in environmental protection projects, thus hoping to provide some useful reference and reference for practical work and lay a good foundation for future development. In this paper, through experimental analysis, the concentration of various water quality indicators in sewage was analyzed and compared by fusing Boosting and Bagging algorithms. It was found that the range of chemical oxygen demand of sewage samples was 396g/ml-456g/ml. The average chemical oxygen demand was 416g/ml, and the ammonia content was 36g/ml-63g/ml. Finally, the removal rate of pollutants in the artificial intelligent sewage treatment system by using Boosting and Bagging fusion algorithm and traditional algorithm was analyzed and compared. It was found that the removal rate of pollutants by using the fusion algorithm was 23.01% higher than that of the traditional algorithm.

Mankee Jeon. Construction of Sewage Treatment System Integrating Boosting and Bagging Algorithms and Artificial Intelligence. Water Pollution Prevention and Control Project (2022), Vol. 3, Issue 2: 41-49. https://doi.org/10.38007/WPPCP.2022.030205.

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