An algorithm for computing moments-based flood quantile estimates when historical flood information is available

@article{Cohn1997AnAF,
  title={An algorithm for computing moments-based flood quantile estimates when historical flood information is available},
  author={T. A. Cohn and W. L. Lane and W. Baier},
  journal={Water Resources Research},
  year={1997},
  volume={33},
  pages={2089-2096}
}
  • T. A. Cohn, W. L. Lane, W. Baier
  • Published 1997
  • Geology
  • Water Resources Research
  • This paper presents the expected moments algorithm (EMA), a simple and efficient method for incorporating historical and paleoflood information into flood frequency studies. EMA can utilize three types of at-site flood information: systematic stream gage record; information about the magnitude of historical floods; and knowledge of the number of years in the historical period when no large flood occurred. EMA employs an iterative procedure to compute method-of-moments parameter estimates… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 43 REFERENCES
    Flood Frequency Analysis With Historical and Paleoflood Information
    • 296
    The Value of Historical Data in Flood Frequency Analysis
    • 92
    • Open Access
    Flood frequency analysis with historic information
    • 65
    Paleoflood Hydrology and Flood Frequency Analysis
    • 89
    • Open Access