Quantile estimates of extreme precipitation show an intersection of distribution or a spatial discontinuation due to thelack of rainfall sites with spare spatial distribution as well as the short data length and different optimum distribution between adjacentduration and homogeneous region. The spatiotemporal inconsistency still didn’t get an effective solution. In order to get morenormative and spatiotemporal consistent quantile estimates, quantile estimates were computed by utilizing hydrometeorological regionalL-moments method in the first section of this study, and were adjusted by spatial interpolation and distributing the surplus of theratio of the longer duration vs. the shorter duration to eliminate the cross and discontinuation. The results show that the anomalousestimates are removed and values of mutual restriction are more reasonable by distributing the surplus of the ratio, and that adjustedquantiles exhibit better reliability expressed in relative error of the empirical frequency to the theoretical exceedance probabilityof the data, and a better spatial smoothing pattern shown as well by using spatial interpolation. The spatial patterns of quantilesare similar to different durations and return periods. High values were found in the northeast mountainous area of basin and lowvalueswere in the north plain area, which is in the agreement with the observed precipitation extremes. It will provide importanthydrologic basis for designing rainstorm and flood of water engineering and resources.