With the development of social and economic development, modern industry has made a huge contribution, but the pollution of drinking water (DW) sources has also developed to a more serious situation. The shortage of DW sources has intensified due to the large amount of industrial waste water discharged directly into the water, resulting in the pollution of DW sources. In order to prevent DW pollution, this paper uses a random forest (RF) algorithm and electronic information intelligence technology to build a water pollution early warning system, the system through the predictive power of the RF cannot meet the DW standards for intelligent warning water. This paper analyzes the current situation of DW pollution in Q city and finds that Q city has little supervision of polluted water sources in agriculture and water supply plants, so it proposes measures to prevent DW pollution in the hope that the citizens of Q city can use clean water resources.

Prusa Filip. Drinking Water Pollution Prevention and Control Engineering Model Based on Random Forest Algorithm and Electronic Information Intelligence. Water Pollution Prevention and Control Project (2022), Vol. 3, Issue 3: 37-45. https://doi.org/10.38007/WPPCP.2022.030305.

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