20.500.12556/RUL-176109 A multi-hybrid model approach optimizing discharge forecasts in karst catchment under climate change 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. hydrology conceptual model data-driven model multiple hybrid modelling karst catchment Ljubljanica River hidrologija konceptualni model model na podlagi podatkov večhibridni model kraško porečje Ljubljanica true false true Angleški jezik Slovenski jezik Članek v reviji 2025-11-21 13:07:09 2025-11-21 13:07:19 2026-09-15 04:27:30 0000-00-00 00:00:00 2026 0 0 23 str. pt. C, art. 134620 Vol. 664 Jan. 2026 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 502/504:556 0022-1694 10.1016/j.jhydrol.2025.134620 258179843 1-s2.0-S0022169425019602-main.pdf 1-s2.0-S0022169425019602-main.pdf 1 7878761CBC03FB9A4AD3C25D5E9C645E 7d5cdb2b734165e51f2653e56d251add5b3d7419f3e36b4622a8ac4a6ca1082e 017b8cb2-b01b-11f1-8bc5-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=247524 https://www.sciencedirect.com/science/article/pii/S0022169425019602 0 d2fa6bc1-b01a-11f1-8bc5-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=247523 Fakulteta za gradbeništvo in geodezijo 0 0 0