In order to get a better understanding of the correlation between respiratory diseases outpatients and atmospheric PM2.5, SO2 concentrations, multifractal detrended cross-correlation analysis(MF-DCCA) was used to study the sequence of respiratory diseases outpatients and PM2.5, SO2 concentrations in Yongding District. The results show that the correlation between respiratory diseases outpatients and atmospheric PM2.5, SO2concentrations has the characteristics of long-term persistence and multifractal. Then the dynamic sources of their correlation multifractal features are analyzed. Through random rearrangement and phase randomization procedure, the results show that the long-term persistence effect is the main driving force at different time scales. Further study found that the correlation between respiratory system diseases and atmospheric PM2.5, SO2 concentrations sequence in the four seasons has long-term multifractal characteristics, and the multiple fractal features in summer are stronger than those in other seasons.