Sustainable sediment management in large, regulated rivers requires modelling tools that can reliably predict long-term morphological trends while remaining computationally efficient for scenario testing. This study presents a simplified one-dimensional (1D) morphodynamic framework parameterized using effective flow conveyance and sediment transport widths extracted from a calibrated two-dimensional (2D) hydrodynamic model. The approach corrects a key limitation of conventional 1D models, which implicitly assumes that the entire cross-section is hydraulically and morphologically active. The method was applied to a 100-km gravel-bed reach of the Hungarian Danube, where sediment deficit caused by the upstream hydropower-plant impoundment and extensive training works have caused persistent bed degradation, reaching 5 m erosion at places. The model was validated against measured water levels, two multi-year bathymetric datasets, and a bedload rating curve derived from direct field measurements. Using total or constant channel widths substantially distorted predicted erosion–deposition patterns, whereas the 2D-derived effective widths reproduced both the magnitude and spatial distribution of observed bed changes. Long-term simulations (2005–2035) show continuing riverbed incision of ∼0.8 m in the most active 20 km. A widening scenario (1.5× effective width), modelling the removal of river training works, reduced incision by ∼50%, while targeted sediment feeding (10,000 m 3 /yr) produced local mitigation with weaker downstream propagation. The study demonstrates that 2D-informed 1D morphodynamic modelling provides a transparent and computationally light decision-support tool suitable for evaluating sediment management strategies in large, engineered rivers.
Building similarity graph...
Analyzing shared references across papers
Loading...
Sándor Baranya
Frontiers in Environmental Science
SHILAP Revista de lepidopterología
Budapest University of Technology and Economics
Building similarity graph...
Analyzing shared references across papers
Loading...
Sándor Baranya (Wed,) studied this question.
synapsesocial.com/papers/69abc1235af8044f7a4e9bed — DOI: https://doi.org/10.3389/fenvs.2026.1762248
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: