In recent years, with the accelerated urbanization and industrial development, a large number of water pollution events have occurred in many regions, which have had a significant impact not only on the environment and socio-economics, but also on water quality. In this paper, the improved BP (back propagation) algorithm of genetic algorithm was used to improve the early warning system for water pollution prevention and control. This paper first introduced the current status of water resources monitoring and early warning mechanisms and the causes of sewage generation, followed by the transmission algorithm and the improved BP algorithm. Then the water pollution prevention and early warning system was designed by combining the two and the application effect was analyzed. It was found that the timeliness of water pollution early warning could be greatly improved after using the fused genetic algorithm and the improved BP algorithm. The water pollution prevention efficiency of water intake 1 was the highest, and its water pollution prevention efficiency was improved by 29% after adopting the water pollution prevention early warning system with fused genetic algorithm and improved BP algorithm. At present, the water pollution prevention and early warning system is more widely used, so the improved BP algorithm of genetic algorithm can be combined to improve the water pollution prevention and early warning effect.

Mateev Valentin. Improved BP Algorithm Incorporating Genetic Algorithm for Water Pollution Prevention and Warning Application. Water Pollution Prevention and Control Project (2020), Vol. 1, Issue 2: 40-51. https://doi.org/10.38007/WPPCP.2020.010205.

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