Stochastic storm transposition coupled with rainfall-runoff modeling for estimation of exceedance probabilities of design floods

M. Franchini, K. R. Helmlinger, E. Foufoula-Georgiou, E. Todini

    Research output: Contribution to journalArticlepeer-review

    41 Scopus citations

    Abstract

    The stochastic storm transposition (SST) technique has been developed and evaluated in previous studies for the estimation of exceedance probabilities of extreme precipitation depths. In this study it is extended to the estimation of exceedance probabilities of extreme design floods. The link between storms and flood peaks is provided by a rainfall-runoff transformation and stochastic descriptions of antecedent moisture conditions and storm depth temporal distributions. Cumulative average catchment depths produced by the SST approach have been converted to a range of possible flood peak values using a rainfall-runoff model (the ARNO model) and a probabilistic disaggregation scheme of cumulative storm depths to hourly data. The analysis has been repeated for a range of fixed antecedent moisture conditions. The probabilities of exceedance of the produced flood peaks have been estimated and compared to highlight the effect of antecendent moisture conditions on the magnitude and frequency of produced floods as compared with the magnitude and frequency of the corresponding average catchment depths.

    Original languageEnglish (US)
    Pages (from-to)511-532
    Number of pages22
    JournalJournal of Hydrology
    Volume175
    Issue number1-4
    DOIs
    StatePublished - Jan 1 1996

    Fingerprint Dive into the research topics of 'Stochastic storm transposition coupled with rainfall-runoff modeling for estimation of exceedance probabilities of design floods'. Together they form a unique fingerprint.

    Cite this