Research on the application of urban air quality prediction and prediction model under the background of big data

Abstract

In the previous research on air quality prediction, the research on the problem is usually one-sided, and many problems are solved from a single time dimension. In the research of this problem, this paper starts from the time dimension and the space dimension respectively. Considering the temporal continuity and spatial diffusion of air pollutants, the prediction results of the two dimensions are dynamically combined. Comprehensive consideration of various factors to achieve better prediction results. In order to solve the problem that there are few air quality monitoring stations in cities and there is no monitoring data in a large number of areas, an air quality prediction model is proposed.