In this study, soil hydraulic parameters estimated by 7 commonly used soil pedotransfer functions (PTFs) were used as the parameters fed into the HYDRUS-1D model, and soil moisture was obtained by solving Richards equation, and was compared with the measured dataset at Miyun, Daxing and Guantao stations in Haihe River Basin. The simulation performance of soil hydraulic parameters estimated by single PTF on the estimated soil moisture was evaluated. In addition, soil hydraulic parameters were also estimated by three newly developed ensemble PTF, and the influence of ensemble PTF models on the simulation performance of soil moisture was evaluated. Results show that RMSE of single PTF model based on van Genuchten equation is the lowest, and the Rosetta3 PTF shows a better performance.The ensemble PTF model developed based on Bayesian averaging model has the best performance in terms of characterizing the overall trend of soil hydraulic parameters estimated by multiple single PTF. In addition, the ensemble model can overcome the deficiency of large error resulted from the single PTF in some cases.