With the rapid development of computer vision technology, intelligent water pollution detection has been applied in the field of environmental protection, and lake water pollution detection has been a hot topic in the field of environmental protection. Based on this, this paper first discussed the elements of water ecological function zoning, focusing on the low water exchange capacity and population density of lakes, and expounded the current situation of serious non-point source pollution in lake basins. Then, this paper expounded the ideas and strategies of lake water pollution prevention and control, discussed the objectives of lake water pollution prevention and control, put forward the objectives and indicators of strengthening environmental management, and studied the policies and measures of lake water pollution control. The principle of detection and prevention of lake water pollution was analyzed, and the detection method of lake water pollution based on improved neural network was proposed. According to the experiment and investigation, in the framework of the lake water pollution prevention and control system, a new lake water pollution prevention and control system was constructed, which was 23% more satisfactory than the traditional lake water pollution prevention and control system.

Sandra Edward. Evaluation on Detection Method of Lake Water Pollution Prevention and Control Based on Improved Neural Network. Water Pollution Prevention and Control Project (2020), Vol. 1, Issue 2: 20-29. https://doi.org/10.38007/WPPCP.2020.010203.

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