A comparative study of probability distribution models for flood discharge estimation

Due to climate change, floods have been more frequent in recent years. Estimating the flood discharge as a result of frequency analysis is very substantial make necessary preparations for possible floods. Data covering 36 years were collected from different stream gauging stations (SGS No: D17A016 and EIEI 1731) Eastern Mediterranean Basin. With these data, values computed return periods 2, 5, 10, 25, 50, 100, 200, 500 1000 Normal, Log-Normal, Gumbel, Pearson Type III Log-Pearson statistical distribution methods used. Kolmogorov-Smirnov (K-S) Chi-square goodness-of-fit tests performed determine which fitted best. The study showed that highest among probability distributions both SGSs came Log-Normal distribution, lowest was calculated with Normal distribution. K-S all conformed 20% significance level. For SGS D17A016, compatible 90% confidence interval according test. Flood obtained other found within 10% In test EIEI-1731, fell significance.