Design of Dynamic Diffusion Simulation System for Atmospheric Pollutants in Coastal Cities under Persistent Inverse Temperature

Abstract

Gong, Y. and Luo, X., 2020. Design of dynamic diffusion simulation system for atmospheric pollutants in coastal cities under persistent inverse temperature. In: Yang, Y.; Mi, C.; Zhao, L., and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 526–529. Coconut Creek (Florida), ISSN 0749-0208.The prediction of the dynamic diffusion of atmospheric pollutants in coastal cities under continuous inverse temperature is the key to establish the dynamic treatment of atmospheric pollutants. In view of the low accuracy of the traditional nonlinear feature estimation simulation method, a continuous inverse temperature simulation model for the dynamic diffusion of atmospheric pollutants in coastal cities under continuous inverse temperature is proposed. A self-similar regression model is constructed for the statistical information of atmospheric pollutant dynamic diffusion in coastal cities under continuous inverse temperature, and a multi-scale decomposition and factor analysis are carried out for the time series of atmospheric pollutant dynamic diffusion in coastal cities under continuous inverse temperature. The simulation results show that the model has high accuracy and good convergence in the simulation and prediction of atmospheric pollutant dynamic diffusion in coastal cities.