| Issue |
E3S Web Conf.
Volume 694, 2026
Third International Conference on Green Energy, Environmental Engineering and Sustainable Technologies 2025 (ICGEST 2025)
|
|
|---|---|---|
| Article Number | 04008 | |
| Number of page(s) | 18 | |
| Section | Infrastructure, Transports and Sustainability | |
| DOI | https://doi.org/10.1051/e3sconf/202669404008 | |
| Published online | 16 February 2026 | |
Applications of HEC-RAS and ADC in Hydraulic Flow Modelling Around Barrages: A Systematic Review
Department of Civil Engineering, College of Engineering, Wasit University, Iraq
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
; This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
This paper reviews and analyses the use of the HECRAS and ADCIRC hydraulic models for simulating downstream flow and erosion patterns developed behind barrages. The study validates these models as suitable instruments for predictions of sediment transport, morphological evolution and scour, obtaining very accurate results by means of intense calibration. Combining geography and remote sensing for employment in GIS-based spatial analysis has been much improved, which made an important applied to navigation, flood risk assessment and construction of infrastructure. However, limitations remain including an inability to model complex sediment dynamics and site specific calibration mean models are not widely transferable between locations while continued debate over the most suitable dimensional treatment. The main research challenges are simulating extreme events and the long-term morphological evolution. To enhance the model robustness and sustainability of river management, future studies should focus on developing advanced sediment formulations, accurately parameterizing 2D models, and formulating unified protocols to integrate data.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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