Regional flood frequency analysis of the Sava river in South-Eastern Europe

Leščešen, Igor (avtor), Šraj, Mojca (avtor), Basarin, Biljana (avtor), Pavić, Dragoslav (avtor), Mesaroš, Minučer (avtor), Mudelsee, Manfred (avtor)

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.

• Jezik: Angleški jezik
• Ključne besede: discharge time series, flood risk analysis, generalized extreme value distribution
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FGG - Fakulteta za gradbeništvo in geodezijo
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2022
• Št. strani: 19 str.
• Številčenje: Vol. 14, iss. 15, art. 9282
• PID: 20.500.12556/RUL-140940
• UDK: 556
• ISSN pri članku: 2071-1050
• DOI: 10.3390/su14159282
• COBISS.SI-ID: 120436227
• Datum objave v RUL: 21.09.2022

Gradivo je del revije

• Naslov: Sustainability
• Skrajšan naslov: Sustainability
• Založnik: MDPI
• ISSN: 2071-1050
• COBISS.SI-ID: 5324897

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
• Začetek licenciranja: 20.09.2022

Sekundarni jezik

• Jezik: Slovenski jezik
• Naslov: Regionalna verjetnostna analiza poplav reke Save v jugovzhodni Evropi
• Ključne besede: časovne serije pretokov, verjetnostna analiza poplav, generalizirana porazdelitev ekstremnih vrednosti

Projekti

• Financer: EC - European Commission
• Program financ.: H2020
• Številka projekta: 952384
• Naslov: Twinning for the advancement of data-driven multidisciplinary research into hydro-climatic extremes to support risk assessment and decision making
• Akronim: EXtremeClimTwin