Articles | Volume 371
Proc. IAHS, 371, 163–166, 2015
https://doi.org/10.5194/piahs-371-163-2015
Proc. IAHS, 371, 163–166, 2015
https://doi.org/10.5194/piahs-371-163-2015

  12 Jun 2015

12 Jun 2015

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

Y. M. Hu1,2, Z. M. Liang1,3, X. L. Jiang1, and H. Bu1 Y. M. Hu et al.
  • 1College of Hydrology and Water Resources, Hohai University, Nanjing, China
  • 2Hydroinformatics Chair Group, UNESCO-IHE Institute for Water Education, Delft, the Netherlands
  • 3State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China

Abstract. In this paper, a novel approach for non-stationary hydrological frequency analysis is proposed. The approach is due to the following consideration that, at present the data series used to detect mutation characteristic is very short, which may only reflect the partial characteristic of the population. That is to say, the mutation characteristic of short series may not fully represent the mutation characteristic of population, such as the difference of mutation degree between short sample and population. In this proposed method, an assumption is done that the variation hydrological series in a big time window owns an expected vibration center (EVC), which is a linear combination of the two mean values of the two subsample series obtained through separating the original hydrological series by a novel optimal segmentation technique (change rate of slope method). Then using the EVC to reconstruct non-stationary series to meet the requirement of stationary, and further ensure the conventional frequency analysis methods is valid.

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Short summary
A approach for non-stationary hydrological frequency analysis is proposed. In this method, an assumption is done that the variation hydrological series in a big time window owns an expected vibration center (EVC), which is a linear combination of the two mean values of the two subsample series. Then using the EVC to reconstruct non-stationary series to meet the requirement of stationary.