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In this paper, a novel approach for non-stationary hydrological frequency\udanalysis is proposed. The approach is due to the following consideration\udthat, at present the data series used to detect mutation characteristic is\udvery short, which may only reflect the partial characteristic of the\udpopulation. That is to say, the mutation characteristic of short series may\udnot fully represent the mutation characteristic of population, such as the\uddifference of mutation degree between short sample and population. In this\udproposed method, an assumption is done that the variation hydrological\udseries in a big time window owns an expected vibration center (EVC), which\udis a linear combination of the two mean values of the two subsample series\udobtained through separating the original hydrological series by a novel\udoptimal segmentation technique (change rate of slope method). Then using the\udEVC to reconstruct non-stationary series to meet the requirement of\udstationary, and further ensure the conventional frequency analysis methods is valid

Non-stationary hydrological frequency analysis based on the reconstruction of extreme hydrological series