Difference Equation Model-Based Prediction considering the Spatiotemporal Propagation: A Case Study of Bohai Rim Region, China,Discrete Dynamics in Nature and Society

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Difference Equation Model-Based Prediction considering the Spatiotemporal Propagation: A Case Study of Bohai Rim Region, China
Discrete Dynamics in Nature and Society ( IF 1.3 ) Pub Date : 2021-03-31 , DOI: 10.1155/2021/6614950
Ceyu Lei ₁ , Xiaoling Han ₁ , Chenghua Gao ₁

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Accurate reporting and prediction of concentration are very important for improving public health. In this article, we use a spectral clustering algorithm to cluster 44 cities in the Bohai Rim Region. On this basis, we propose a special difference equation model, especially the use of nonlinear diffusion equations to characterize the temporal and spatial dynamic characteristics of propagation between and within clusters for real-time prediction. For example, through the analysis of concentration data for 92 consecutive days in the Bohai Rim Region, and according to different accuracy definitions, the average prediction accuracy of the difference equation model in all city clusters is 97% or 90%. The mean absolute error (MAE) of the forecast data for each urban agglomeration is within 7 units . The experimental results show that the difference equation model can effectively reduce the prediction time, improve the prediction accuracy, and provide decision support for local air pollution early warning and urban comprehensive management.

更新日期：2021-03-31

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