Establishment of Air Quality Forecast Model Based on Deep Learning

Abstract

According to the existing air quality forecasting model, this paper proposed an air quality forecasting method based on deep learning. By analyzing forecasting data, monitoring data and meteorological data, a new air quality forecasting model in the region is established. The model fully takes into account the time variability and spatial distribution characteristics of air pollutant concentration, and introduces meteorological data as covariates to predict any location in the study area.