The air quality model is increasingly important in air pollution forecasting and controlling. Emissions significantly impact the accuracy of air quality models. This research studied the 3DVar (three-dimensional variational) emission inversion method based on machine learning in CMAQ (The Community Multiscale Air Quality modeling system). The ExRT(extremely randomized trees method) machine learning conversion matrixes were established to convert the pollutant concentration innovations to the corresponding emission…