EGU24-11154, updated on 09 Mar 2024
https://doi.org/10.5194/egusphere-egu24-11154
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Surface roughness: capturing rough-bed river diversity

Robert Houseago1, Rebecca Hodge1, Rob Ferguson1, Rich Hardy1, Chris Hackney2, Steve Rice3, Joel Johnson4, Elowyn Yager5, Trevor Hoey6, and Taís Yamasaki1
Robert Houseago et al.
  • 1Department of Geography, Durham University, Durham, UK
  • 2School of Geography, Politics and Sociology, Newcastle University, Newcastle, United Kingdom
  • 3Department of Geography and Environment, University of Loughborough, Loughborough, UK
  • 4Department of Earth and Planetary Sciences, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX, USA
  • 5Center for Ecohydraulics Research, Department of Civil & Environmental Engineering, University of Idaho, Boise, ID, USA
  • 6Department of Civil and Environmental Engineering, Brunel University London, Uxbridge, UK

Channel geometry and bed surface roughness modulate the flow resistance of river channels, which is fundamental to the conveyance of water and sediment. In rough-bed rivers, where the flow is shallow relative to roughness height, there is notable uncertainty in flow resistance calculations based on sediment percentiles (D50 or D84) or the standard deviation of bed elevations. A new approach based on alternative surface roughness metrics is required to encompass the diversity of rough-bed rivers and to identify alternative metrics capable of characterising their complex topography and elements including boulders and bedrock.

Here, geostatistical analysis is conducted for 20 rough-bed river reaches with varying channel characteristics (channel geometry, bedrock exposure, sediment grainsize, boulder density, and lithology). Multi-scale elevation- and gradient-based surface roughness metrics are extracted from high-resolution digital elevation modes and analysed to determine the most applicable metrics to fully define rough-bed rivers. Statistical analysis includes application of correlation analysis, Principal Component Analysis (PCA), and Hierarchical clustering. The results reveal that a complete description of the topographic properties of rough-bed rivers requires the use of multiple roughness metrics. Research outside Geomorphology has found that elevation skewness and frontal solidity are two metrics that can comprehensively define surface roughness. We find these metrics are capable of distinguishing between channels with differing characteristics, including bedrock or boulders, across multiple scales. The results provide a framework to support further research on the topographic controls on flow resistance and offer insights that advance topographic analysis across geomorphology.

How to cite: Houseago, R., Hodge, R., Ferguson, R., Hardy, R., Hackney, C., Rice, S., Johnson, J., Yager, E., Hoey, T., and Yamasaki, T.: Surface roughness: capturing rough-bed river diversity, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-11154, https://doi.org/10.5194/egusphere-egu24-11154, 2024.