Abstract
In this study, flood peaks are estimated using the power transformation method. This method is preferred as it does not require a priori knowledge of the frequency distribution of the population. Annual flood peaks for 15 rivers have been analyzed and it is shown that power transformation is more effective than SMEMAX and log transformations in normalizing the skewed flood distribution. The effect of kurtosis has also been taken into account in the estimation of flood peaks. Flood peaks of 100-yr and 200-yr recurrence intervals are computed using power transformation method and the results are compared with several existing methods. Frequency curves of actual data are plotted and it is shown that, at higher probability of non-exceedance, curves based on power transformation fits closest to the observed data.
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