In recent years, Water Pollution (WP) has not only caused a serious impact on the ecological environment, but also has a certain constraint effect on the social and economic development. The planning and evaluation of WP prevention and control on the basis of urban-rural integration is very necessary for the current water environment protection, and it needs to be further studied. Many researchers have provided new ideas for the application research of urban and rural integrated WP prevention and control planning evaluation. This paper was based on this as the research direction and basis. This paper analyzed the evaluation of urban and rural integrated WP prevention and control planning, and carried out academic research and summary on the development trend of urban and rural integrated WP prevention and control system planning; the algorithm model was established, and relevant algorithms were proposed to provide theoretical basis for the evaluation of WP prevention and control planning based on the integration of urban and rural areas under the Back Propagation Neural Network (BPNN); at the end of the paper, the simulation experiment was carried out, and the experiment was summarized and discussed; the degree of prevention and control of WP in cities and villages in a region was evaluated by score. Five rivers in cities and villages were selected, and 450ml of water in each river was collected as experimental samples; finally, the WP prevention and control progress of the five samples in cities was about 49%-71%, while the WP prevention and control progress of the five samples in villages was about 69%-91%. It could be seen that the progress of WP prevention and control in cities was lower than that in rural areas due to the large population carrying capacity, dense industrial parks, complex traffic engineering and other problems. At the same time, with the in-depth study of BPNN, the application research of WP prevention and control system planning also faced new opportunities and challenges.

Lohr Christoph. Evaluation of Water Pollution Prevention Planning Based on Urban and Rural Integration Based on BP Neural Network. Water Pollution Prevention and Control Project (2021), Vol. 2, Issue 1: 42-52. https://doi.org/10.38007/WPPCP.2021.020105.

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