20.500.12556/RUL-140940 Regional flood frequency analysis of the Sava river in South-Eastern Europe Regionalna verjetnostna analiza poplav reke Save v jugovzhodni Evropi Regional flood frequency analysis (RFFA) is a powerful method for interrogating hydrological series since it combines observational time series from several sites within a region to estimate risk-relevant statistical parameters with higher accuracy than from single-site series. Since RFFA extreme value estimates depend on the shape of the selected distribution of the data-generating stochastic process, there is need for a suitable goodness-of-distributional-fit measure in order to optimally utilize given data. Here we present a novel, least-squares-based measure to select the optimal fit from a set of five distributions, namely Generalized Extreme Value (GEV), Generalized Logistic, Gumbel, Log-Normal Type III and Log-Pearson Type III. The fit metric is applied to annual maximum discharge series from six hydrological stations along the Sava River in South-eastern Europe, spanning the years 1961 to 2020. Results reveal that (1) the Sava River basin can be assessed as hydrologically homogeneous and (2) the GEV distribution provides typically the best fit. We offer hydrological-meteorological insights into the differences among the six stations. For the period studied, almost all stations exhibit statistically insignificant trends, which renders the conclusions about flood risk as relevant for hydrological sciences and the design of regional flood protection infrastructure. discharge time series flood risk analysis generalized extreme value distribution časovne serije pretokov verjetnostna analiza poplav generalizirana porazdelitev ekstremnih vrednosti true false true Angleški jezik Slovenski jezik Članek v reviji 2022-09-21 15:03:15 2022-09-21 15:03:17 2022-09-26 15:44:32 0000-00-00 00:00:00 2022 0 0 19 str. iss. 15, art. 9282 Vol. 14 2022 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 556 2071-1050 10.3390/su14159282 120436227 sustainability-14-09282_(2).pdf sustainability-14-09282_(2).pdf 1 77044C4EC325D3416F0C5287B038F80A 200311ec993a590f51939aef4e5a6a254ee5f74cac4052fa0c3f2629140d0471 eda02787-39ad-11ed-92af-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=161794 https://www.mdpi.com/2071-1050/14/15/9282 1 ae5c0d39-39ad-11ed-92af-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=161793 Fakulteta za gradbeništvo in geodezijo 0 0 0