With the rapid development of the economy, the problem of environmental pollution is becoming more and more serious, which has attracted the attention of people from all walks of life. Therefore, in the planning and construction of governance of water resources issues, a path of green environmental protection and sustainable scientific development should be taken. First of all, by starting from the protection of the natural environment, people’s living standards have been continuously improved. Industrial production technology has also made great progress, and the demand for water resources is increasing; secondly, environmental protection awareness should be strengthened and measures such as rational use of resources should be taken to reduce environmental damage and waste; finally, the construction of relevant laws and regulations and governance system is urgent. In the traditional governance of water resources issues planning model, it relies too much on the professional knowledge and subjective assumptions of managers and researchers, and can not respond in time when water pollution hazards occur. The means to deal with water pollution problems are relatively simple. To solve these problems, this paper proposed a modern water pollution prevention and control planning model based on neural network technology and intelligent algorithm. Through the comparative analysis of the experimental results, it could be seen that the innovative governance of water resources issues planning model had an average increase of 10.7% in the four evaluation indicators compared with the traditional governance of water resources issues planning model.

Almothana Albukhari. Contemporary Water Pollution Prevention Planning Based on Neural Network. Water Pollution Prevention and Control Project (2021), Vol. 2, Issue 1: 22-31. https://doi.org/10.38007/WPPCP.2021.020103.

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