To eliminate pollution, protect the environment and prevent the continuous deterioration of water quality, people began to conduct in-depth exploration of various wastewater treatment technologies, and invested a lot of funds, material and financial resources on this basis. Large-scale sewage treatment projects should avoid direct discharge of untreated wastewater into water bodies. People’s awareness of water pollution should be enhanced to make significant contributions to the prevention and control of water pollution. However, with the deepening and extensive water pollution prevention and control projects, human beings have to pay more costs to solve these problems. Many researchers provided new ideas for the application research of water pollution prevention and control system planning, which was the research direction and basis of this paper. This paper analyzed how to plan the water pollution control system, and carried out academic research and summary on the application of analyzing the water pollution control system planning. This paper established an algorithm model, and put forward relevant algorithms to provide theoretical basis for application research in water pollution prevention and control system planning. At the end of the paper, a simulation experiment was carried out, and the experiment was summarized and discussed. Through the establishment of water pollution prevention and control system for city X, it was concluded that the effectiveness of prevention and control of pollution sources in this city was mostly more than 85% after the use of this system. The effectiveness of prevention and control of industrial pollution sources increased by 34%; the effectiveness of prevention and control of agricultural pollution sources increased by 31%; the effectiveness of prevention and control of living pollution sources increased by 20%; the effectiveness of prevention and control of living pollution sources increased by 21%. At the same time, with the in-depth study of ant colony algorithm, the application research of water pollution prevention and control system planning also faced new opportunities and challenges.

Mathea Simons. Ant Colony Algorithm in the Planning of Water Pollution Control System. Water Pollution Prevention and Control Project (2020), Vol. 1, Issue 2: 52-62. https://doi.org/10.38007/WPPCP.2020.010206.

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