Abstract
The usual approach to the calculation of x(T), the annual maximum daily streamflow associated with recurrence interval T, is to fit a probability distribution to a set of observations of annual maxima. The choice of the probability distribution is often based on asymptotic results. We investigate this model selection criterion through evaluation of the errors in estimating of x(T) for a Markovian daily flow stochastic process.
The design of spillways or flood control storage requires the complete calculation of the T flood hydrograph, rather than just the peak value. Questions regarding the evolution of reservoir storage could be solved if a large number of daily streamflow sequences were available to be used in the evaluation of the frequency of failure of each tentative design. The utility of stochastic daily streamflow models is discussed, particularly the question of how to reduce the computer time necessary to generate a large number of synthetic daily sequences.
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© 1987 D. Reidel Publishing Company, Dordrecht, Holland
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Kelman, J. (1987). Statistical Approach to Floods. In: MacNeill, I.B., Umphrey, G.J., McLeod, A.I. (eds) Advances in the Statistical Sciences: Stochastic Hydrology. The University of Western Ontario Series in Philosophy of Science, vol 37. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-4792-4_12
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DOI: https://doi.org/10.1007/978-94-009-4792-4_12
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