Sediment transport in coastal areas under river influence: numerical simulation of erosion and deposition processes
This study investigates sediment transport in river-influenced coastal areas via numerical simulation, focusing on improving the critical shear stress method to accurately predict erosion-deposition patterns. A three-dimensional model integrating hydrodynamic, wave, and sediment transport modules was developed for a southeastern Chinese coastal region. Ten scenarios were simulated to compare traditional and improved critical shear stress methods under varying environmental conditions, validated using 2022-2023 field measurements. Results show the improved method reduces RMSE by 24% and increases correlation coefficients by 18% versus traditional approaches. Distinct transport patterns emerged under different hydrological conditions, with extreme events dominating sediment redistribution. River-wave interactions created complex transport dynamics, particularly when waves and currents aligned, enhancing bottom shear stress by 1.2-2.8 times. Integrating hydrodynamic processes, sediment properties, and morphological feedback improves representation of complex coastal dynamics. Climate change projections indicate sea-level rise may alter sediment transport non-linearly. This enhanced model offers practical tools for coastal management, navigation optimization, and infrastructure planning in river-dominated regions facing climate and anthropogenic pressures.
Authors
- Zichen Zhu (ORCID: https://orcid.org/0000-0001-9989-2739)
- Yueyue Su
- Wanqing Chi
- Tiezheng Shao
Institutions
- Ningbo University of Finance & Economics (CN)
- First Institute of Oceanography (CN)
- China Communications Construction Company (China) (CN)
Publication Details
- Journal
- Water Science & Technology
- Published
- 2026-01-19
- DOI
- https://doi.org/10.2166/wst.2026.202
- Primary Topic
- Coastal wetland ecosystem dynamics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Shandong Province