A maximum likelihood or method of moments estimate of the 99 percentile of a flood flow distribution is the traditional choice for the 100‐year design flood event in flood plain planning. Because such estimates ignore the small‐sample properties of quantile estimators, the resulting design event values will be exceeded with a probability in excess of that intended. For a sample size of 16 the estimated 100‐year flood is, in expectation, the 50‐year flood. Bayesian and classical statistical approaches can be used to develop design flood values which, given available hydrologic information, will (on average) be exceeded with the specified 1% design probability. Bias in estimates of expected flood damages and procedures for using regional information at gauged and ungauged sites are discussed.
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Jery R. Stedinger (1983) studied this question.
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