Abstract
In this paper, a rainfall runoff pollution prediction method based on grey neural network algorithm is proposed in consideration of the current situation that the accuracy of research results related to rainfall runoff pollution prediction needs to be improved. Meanwhile, the characteristics of rainfall runoff pollution are analyzed from the perspectives of the main sources of rainfall runoff pollution, the types of rainfall runoff pollution, and the initial erosion. The neural network algorithm is optimized and trained according to the sample data to obtain the sample features; the sample data are predicted according to the extracted sample features, and the prediction model is generated by using the feature fusion technology for two groups of prediction results to generate the prediction model and realize the water drop prediction. The pollution concentration of runoff was obtained by the exponential function method. The experimental results show that the predicted values of discharge and pollution concentration are well fitted with the actual values, indicating that the proposed method has high accuracy and feasibility. Finally, from the viewpoint of non-engineering measures and engineering measures, the suggestions for treating runoff pollution and relevant supports for ecological environment protection are given.
Highlights
As one of the natural disasters that threaten the public life and property safety, the flood disaster caused by rainfall is generating more and more serious harms in today’s society with various types of disasters [1]. erefore, it is of great guiding role in ecological management by reducing the pollution caused by flooding and erosion through improving the accuracy of rainfall runoff pollution prediction [2]
In the process of verifying the rainfall runoff pollution prediction method based on the grey neural network algorithm, the corresponding analysis and calculation are performed after a typical heavy rain, and the experimental platform is built on Mathematica
A rainfall runoff pollution prediction method based on feature fusion is proposed for the prediction and treatment of rainfall runoff pollution
Summary
As one of the natural disasters that threaten the public life and property safety, the flood disaster caused by rainfall is generating more and more serious harms in today’s society with various types of disasters [1]. erefore, it is of great guiding role in ecological management by reducing the pollution caused by flooding and erosion through improving the accuracy of rainfall runoff pollution prediction [2]. Erefore, it is of great guiding role in ecological management by reducing the pollution caused by flooding and erosion through improving the accuracy of rainfall runoff pollution prediction [2]. The emergent and impactful pollutions caused by rainfall runoff have already become the main source of ecological environmental pollutions [3]. Us, the prediction and treatment of rainfall runoff pollution is an urgent problem to be solved in ecological environment management, which has aroused extensive attentions and received in-depth researches by relevant experts and scholars [5]. The feasibility of this method was verified to better improve the prediction of rainfall runoff pollution and treatment of environmental containment
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