Impact of bed roughness configurations on flow dynamics and hydraulic resistance in open-channel flows

Bed roughness significantly influences open-channel flow dynamics, affecting velocity profiles, energy distribution, and hydraulic resistance in natural and engineered rivers. This study investigates the effects of four bed roughness configurations, smooth forward (S-FW), offset roughness (R-OFF), and forward-oriented roughness at 60° (R-FW60) and 90° (R-FW90), on flow characteristics in an experimental flume. Velocity measurements, energy calculations, spectral analysis, and statistical tests (ANOVA) were employed to quantify the impact of roughness on mean flow velocity, Chezy coefficient (C), energy dissipation, and turbulence. Results reveal that S-FW yields the highest mean velocity (1.1587 m/s) and C (51.62), indicating minimal resistance, while R-FW90 produces the lowest mean velocity (0.4422 m/s) and C (18.51), reflecting significant drag and turbulence. Energy profiles show pronounced dissipation near rougher beds, with R-FW90 exhibiting the lowest near-bed energy due to vortex shedding. Spectral analysis highlights amplified low-frequency velocity fluctuations in rougher configurations, particularly R-FW90. Linear mixed-effects modeling and post-hoc tests confirms significant velocity differences across configurations (p < 0.05). These findings offer insights for optimizing channel design, managing erosion, and enhancing flow efficiency in hydraulic engineering applications.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-12-26
DOI
https://doi.org/10.1038/s41598-025-33650-y
Citations
4
Primary Topic
Hydrology and Sediment Transport Processes
Type
article
Field-Weighted Citation Impact
6.87

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of bed roughness configurations on flow dynamics and hydraulic resistance in open-channel flows

Sameh A. Kantoush, Hossein Sohrabzadeh Anzani, Sohei Kobayashi
4 citations
Scientific Reports
Hydrology and Sediment Transport Processes
6.87
article

Impact of bed roughness configurations on flow dynamics and hydraulic resistance in open-channel flows

Sameh A. Kantoush, Hossein Sohrabzadeh Anzani, Sohei Kobayashi
article en
4 citations

Abstract

Bed roughness significantly influences open-channel flow dynamics, affecting velocity profiles, energy distribution, and hydraulic resistance in natural and engineered rivers. This study investigates the effects of four bed roughness configurations, smooth forward (S-FW), offset roughness (R-OFF), and forward-oriented roughness at 60° (R-FW60) and 90° (R-FW90), on flow characteristics in an experimental flume. Velocity measurements, energy calculations, spectral analysis, and statistical tests (ANOVA) were employed to quantify the impact of roughness on mean flow velocity, Chezy coefficient (C), energy dissipation, and turbulence. Results reveal that S-FW yields the highest mean velocity (1.1587 m/s) and C (51.62), indicating minimal resistance, while R-FW90 produces the lowest mean velocity (0.4422 m/s) and C (18.51), reflecting significant drag and turbulence. Energy profiles show pronounced dissipation near rougher beds, with R-FW90 exhibiting the lowest near-bed energy due to vortex shedding. Spectral analysis highlights amplified low-frequency velocity fluctuations in rougher configurations, particularly R-FW90. Linear mixed-effects modeling and post-hoc tests confirms significant velocity differences across configurations (p < 0.05). These findings offer insights for optimizing channel design, managing erosion, and enhancing flow efficiency in hydraulic engineering applications.

Scientific ReportsVol. 16(1)
Kyoto University (JP), Institute of Disaster Prevention (CN)
Japan Society for the Promotion of Science, Japan Science and Technology Agency
Openalex Percentile: Top 3%
Hydrology and Sediment Transport Processes
6.87
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.