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Published March 15, 2023 | Published
Journal Article

Control of river discharge on large-scale estuary morphology

  • 1. ROR icon University of Hull
  • 2. ROR icon California Institute of Technology
  • 3. ROR icon European Space Research and Technology Centre

Abstract

Estuaries are dynamic landscapes with complex bar and channel patterns formed by interactions between tidal and fluvial currents. River discharge dampens the tidal wave, enhances the ebb flow, and supplies sediment to the estuary. However, it is largely unknown how river discharge influences overall estuary morphology. The objective of the current study is to quantify the control of river discharge on bar and channel dimensions and sediment transport throughout the estuary. To this end, a long‐term and large‐scale Delft3D‐2DH estuary model was designed with a suite of model runs undertaken where discharge systematically varied. Results show that tide‐dominated estuaries with significant river discharge can develop towards a dynamic equilibrium with a constant tidal prism through adjustment of channel dimensions to accommodate the supplied river discharge. It is essential to account for this morphodynamic adjustment when considering the transition from tide‐dominated estuaries to aggrading river‐dominated estuaries. After this transition, the estuary evolution depends on the discharge‐to‐width ratio. Tidal prism either decreases with higher river discharge as the tidal flow is dampened and the estuary aggrades, or increases when the estuary widens as it adjusts to the increase in total discharge. Additionally, results show that a higher river discharge increases the difference between the limit of flood‐dominant sediment transport and the limit of flow reversal, which has important implications for the preservation of the tidal signal in the stratigraphy. Estuary dimensions and channel patterns can be described as a function of river and tidal discharge. These findings indicate that the dynamic spatial component in numerical models is crucial in predicting trends in long‐term estuary morphology as well as in inverse predictions from stratigraphy.

Copyright and License

© 2022 John Wiley & Sons Ltd.

Acknowledgement

The authors acknowledge funding by the Leverhulme Trust Early Career Fellowship to AWB, the European Research Council under the European Unions Horizon 2020 research and innovation programme (grant 725955) to DRP, and the Netherlands Organization for Scientific Research (NWO) via Rubicon grant 019.192EN.009 to LB. The authors are grateful to the Viper High Performance Computing facility of the University of Hull, UK and its support team. The authors thank Muriel Brückner, Evdokia Tapoglou, Elena Bastianon and Maarten Kleinhans for valuable discussions and support. The authors gratefully acknowledge comments by two reviewers which were very helpful to improve the manuscript.

Funding

The authors acknowledge funding by the Leverhulme Trust Early Career Fellowship to AWB, the European Research Council under the European Unions Horizon 2020 research and innovation programme (grant 725955) to DRP, and the Netherlands Organization for Scientific Research (NWO) via Rubicon grant 019.192EN.009 to LB.

Contributions

AWB designed the study, developed the model, carried out the simulations and analyses, and drafted the manuscript; LB supported model design and reviewed the manuscript. DRP acquired funding, provided supervision and reviewed the manuscript.

Data Availability

The model files of the default estuary model are published on GitHub under https://github.com/AnneWBaar/estuary-model. Other data are available on request from the corresponding author (AWB).

Additional details

Created:
November 26, 2024
Modified:
November 26, 2024