A Novel Two-Point Velocity Method for Determining Manning's Roughness Coefficient Under Equilibrium and Nonequilibrium Sediment Transport Conditions
Abstract
Background: The accurate determination of Manning's roughness coefficient (n) is critical for open-channel flow modeling and hydraulic design. However, existing methods are often subjective, labor-intensive, or fail to account for the dynamic complexities of sediment transport. This study addresses this gap by proposing a simplified, yet robust, alternative method for determining n using a limited number of velocity measurements.
Methods: Laboratory experiments were conducted in a rectangular flume under both equilibrium and non-equilibrium sediment transport conditions. Using an Acoustic Doppler Velocimeter (ADV), detailed velocity profiles were measured to establish the relationship between flow characteristics and bed roughness. A novel theoretical framework was then derived to calculate Manning's n based on velocity measurements at just two specific points (e.g., 0.2 and 0.8 of the flow depth). The results were validated by comparing the calculated n values with those derived from traditional methods and full velocity profiles.
Results: The two-point velocity method successfully determined Manning's n with high accuracy across all experimental conditions. The results revealed a clear influence of both equilibrium and non-equilibrium sediment transport on the roughness coefficient, with distinct variations observed in each regime. Statistical analysis showed a strong correlation and low error between the n values obtained from the proposed method and those from traditional approaches, confirming the method's reliability.
Conclusion: The developed two-point velocity method offers a practical and accurate alternative for determining Manning's roughness coefficient. It overcomes the limitations of traditional methods by providing a rapid, objective, and data-driven approach that is particularly valuable in dynamic, sediment-laden open channels. This research significantly advances the field by providing engineers and hydrologists with an improved tool for hydraulic analysis and modeling.
Keywords
References
Most read articles by the same author(s)
- Alejandro Martin Velasco, Integrated Multihazard Wind, Wave, and Scour Risk Assessment for Coastal High Rise and Sea Crossing Infrastructure under Climate Change Conditions , International Research Journal of Advanced Engineering and Technology: Vol. 3 No. 03 (2026): Volume 03 Issue 03
- Kolchin Rustam, Transition from Periodic Security Assessments to Continuous Vulnerability Management Frameworks , International Research Journal of Advanced Engineering and Technology: Vol. 3 No. 08 (2026): Volume 03 Issue 08
Similar Articles
- Dr. Andi Pratama, Dr. Siti Rahmawati, Numerical Simulation of Spire-Induced Wake Dynamics: Impact of Computational Mesh Resolution on Vertical and Lateral Velocity Field Prediction in CFD Analysis , International Research Journal of Advanced Engineering and Technology: Vol. 3 No. 06 (2026): Volume 03 Issue 06
- Alejandro Martin Velasco, Integrated Multihazard Wind, Wave, and Scour Risk Assessment for Coastal High Rise and Sea Crossing Infrastructure under Climate Change Conditions , International Research Journal of Advanced Engineering and Technology: Vol. 3 No. 03 (2026): Volume 03 Issue 03
- Dr. Ranjeet kumar, ASSESSING THE EFFICACY OF ADVANCED OPTIMIZATION TECHNIQUES FOR TITANIUM CUTTING SURFACE OPTIMIZATION , International Research Journal of Advanced Engineering and Technology: Vol. 1 No. 1 (2024): Volume 01 Issue 01 2024
- Dr. Julian R. Everleigh, Prof. Elena M. Petrova, A Novel Adversarial Framework for Urban Traffic Congestion Analysis: A Supply-Demand Perspective , International Research Journal of Advanced Engineering and Technology: Vol. 2 No. 10 (2025): Volume 02 Issue 10
- Mikhail Zubkov, Effect of COβ Corrosion Inhibitor on Phase Separation Efficiency in Gas Condensate Processing and Justification for Demulsifier Application , International Research Journal of Advanced Engineering and Technology: Vol. 3 No. 06 (2026): Volume 03 Issue 06
- Dr. Puneet Garg, Accident Risk Prediction Using Artificial Intelligence-Based Intelligent Transportation Systems , International Research Journal of Advanced Engineering and Technology: Vol. 3 No. 07 (2026): Volume 03 Issue 07
You may also start an advanced similarity search for this article.