With the rapid development of economy, people have higher requirements for living standards. However, the problem of domestic sewage has not been fundamentally solved, which has also led to serious environmental and health hazards in more and more cities. Water pollution is one of the reasons. Therefore, in order to effectively control the discharge of pollutants and the deterioration of water quality in urban water bodies, it has become an important work urgently needed to deal with. In order to solve the problems in the construction of traditional urban sewage system water pollution prevention and control engineering, such as relying too much on the professional knowledge and subjective judgment of experts and scholars, not being able to effectively monitor and predict water pollution problems, and the single means of preventing and controlling water pollution problems, this paper proposed a new construction model of urban sewage system water pollution prevention and control engineering. This model not only has better collection effect and evaluation efficiency, but also has more efficient response measures for sudden water pollution problems. Finally, according to the experimental data, the construction model of governance of water resources issues project of urban sewage system proposed in this paper has increased by 11.4% on average in four evaluation indicators compared with the traditional model of governance of water resources issues project of urban sewage system.

Grzegorz Gembalczyk. Construction of Water Pollution Prevention and Control Project of Urban Sewage System Based on Feature Selection Algorithm and Machine Learning. Water Pollution Prevention and Control Project (2020), Vol. 1, Issue 3: 1-10. https://doi.org/10.38007/WPPCP.2020.010301.

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