A multi-hybrid model approach optimizing discharge forecasts in karst catchment under climate change

Sezen, Cenk (avtor), Šraj, Mojca (avtor)

Rainfall-runoff modelling in karst catchments is challenging due to complex hydrogeological and climatic conditions. Conventional hydrological models can struggle to simulate the nonlinear dynamics. To address this challenge, this study proposes a multiple hybrid modelling approach to enhance daily rainfall-runoff simulations in the karst Ljubljanica River catchment in Slovenia. This approach integrates the Technische Universität Wien (TUW) and the Génie Rural à 5 paramètres Journalier (GR5J) lumped conceptual models, which consider the snow processes, with the symbolic regression- genetic programming (SR-GP) data-driven model. The hybrid model, TUW-CemaNeige GR5J-SR-GP, was fortified by grey wolf optimisation (GWO) for calibration, ensemble empirical mode decomposition (EEMD) for data decomposition, and recursive feature elimination (RFE) for feature selection. Rainfall-runoff modelling was conducted for the observed and projected datasets under the Representative Concentration Pathway 4.5 (RCP4.5) and 8.5 (RCP8.5) climate change scenarios. The hybrid model improved baseflow simulation performance by 41% (TUW) and 36% (CemaNeige GR5J), enhanced monthly peak discharge simulation performance by 5% and 13%, and yielded notable improvements in simulating low and high flows under the RCP4.5 and RCP8.5 scenarios. The algebraic equations of the SR-GP model and sensitivity analysis highlighted the influence of the slow-flow components on discharge simulations. The hybrid modelling approach is a promising alternative for compensating for the limitations of the stand-alone models in karst catchments for efficient water resources management.

• Jezik: Angleški jezik
• Ključne besede: hydrology, conceptual model, data-driven model, multiple hybrid modelling, karst catchment, Ljubljanica River
• 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: 2026
• Št. strani: 23 str.
• Številčenje: Vol. 664, pt. C, art. 134620
• PID: 20.500.12556/RUL-176109
• UDK: 502/504:556
• ISSN pri članku: 0022-1694
• DOI: 10.1016/j.jhydrol.2025.134620
• COBISS.SI-ID: 258179843
• Datum objave v RUL: 21.11.2025

Gradivo je del revije

• Naslov: Journal of hydrology
• Skrajšan naslov: J. hydrol.
• Založnik: Elsevier
• ISSN: 0022-1694
• COBISS.SI-ID: 25750784

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.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: hidrologija, konceptualni model, model na podlagi podatkov, večhibridni model, kraško porečje, Ljubljanica