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In order to realize the prediction of air quality of pollution sources, this paper uses the method of wavelet neural network. In this paper, the pollutant concentration values of pollution sources were predicted, so as to realize the monitoring and early warning of pollution source emission. In this paper, the main chemical plants in Taizhou city are selected as the research object. The wavelet neural network is used to forecast the concentration of sulfur dioxide, nitrogen oxide of the chemical plant emissions. Finally, the experiments show that the wavelet neural network is useful to forecast the concentration of pollution sources.

Air Quality Prediction of Pollution Sources Based on Wavelet Neural Network