Particulate matter is one of the major pollutants in the port area. The multifractal theory was used to analyze the multifractal characteristics of the concentrations of PM2.5 and PM10 in the port area. Firstly, the multifractal characteristics of PM2.5 and PM10 were analyzed by Multifractal detrended fluctuation analysis(MF-DFA). The results showed that the evolution of PM2.5 and PM10 shows nonlinear and complex multifractal characteristics, and the multifractal characteristics of PM10 is more than that of PM2.5. Second, Multifractal detrended cross-correlation analysis(MF-DCCA) was used to study the cross-correlation of PM2.5 and PM10 in the port area. The results showed that there existed not only multifractal characteristics with long-term memory between them, but also obvious seasonal variation for its cross-correlation multifractal features. The multifractal characteristics of PM2.5 and PM10 in the port area are the strongest in spring, the second strongest in summer, and the weakest in autumn. These conclusions provide some reference value for the joint control of port area PM2.5 and PM10.