Regional L-moments analysis (RLMA) is the most advanced method for hydrologic frequency analysis, which has been widely used for precipitation frequency analysis in the United States and some other countries since the 1990s. Recently in China, RLMA has been successfully applied to precipitation frequency analysis in the Taihu Lake Basin as a pilot study. However, due to the lack of the rainfall stations with sparse spatial distributions as well as the short data length, the precipitation quantiles show a spatial discontinuation between quantiles somewhere around some areas in between the homogeneous regions. This study mainly presents a meaningful and simple correction method based on spatial interpolation to solve the discontinuity by adjusting the draft quantiles. The annual maximum series at 96 stations with 20-year and longer of rainfall data from the Taihu Lake Basin in EastChina were used for the study. The results of adjusted precipitation quantiles that had been obtained via the RLMA for the Taihu Lake Basin exhibit better reliablity expressed in relative error of the empirical frequency to the theoretical exceedance probability of the data, and a better spatial smoothing pattern shown as well.