Study on Correlation between Urban Development and Air Pollution Based on Artificial Neural Network

The paper presents a method of researching the impact of urban development on air quality on the basis of artificial neural network (ANN). Statistical data in a monitoring period constitute a sample which contains monitoring values of environmental impact factors and air pollution indicators. Several samples are employed to train the ANN, and the mapping relationship between environmental impact factors and air pollution indicators is established through the trained ANN. The impact degree of each environmental impact factor on each air pollution indicator can be obtained by using the connection weights of the trained ANN. The case study illustrates the feasibility of the method mentioned in the paper which explores a new idea to the study of environmental impact of urban development.