Flow Resistance and Hydraulic Geometry in Gravel‐And Boulder‐Bed Rivers

Abstract The frictional resistance of river beds affects how water discharge is partitioned between depth and velocity, which is important in many aspects of hydrology, geomorphology, and aquatic ecology. Many of the most widely‐used resistance equations predict reach‐average velocity from relative submergence (RS), the ratio of mean flow depth to a bed roughness height such as the 84th percentile of the bed grain‐size distribution ( D 84 ). Nondimensional hydraulic geometry (HG) is an alternative approach that directly partitions unit discharge into depth and velocity. We show that any RS equation has an implicit or explicit HG equivalent, and the other way round. Analysis of a large set of flow measurements in gravel‐ and boulder‐bed channels confirms previous findings that HG equations using D 84 outperform mathematically equivalent RS equations in predicting velocity. This paradox is explained by mathematical analysis and numerical experiments, both of which show that HG equations are less sensitive to the inevitable measurement uncertainty in the variables required for a prediction and the observed velocity used for testing. We also propose a new, simple and effective HG equation using D 84 to predict depth and velocity from unit discharge. It is derived in the same way as the now widely‐used variable‐power equation equation (Ferguson, 2007, https://doi.org/10.1029/2006wr005422 ) and for deep flows it reduces to an inverted Manning‐type equation. It should be possible to use HG equations for flow resistance in sand‐bed and bedrock rivers, but this may require new definitions of roughness height.

Authors

Institutions

Publication Details

Journal
Water Resources Research
Published
2025-03-01
DOI
https://doi.org/10.1029/2024wr038852
Citations
2
Primary Topic
Hydrology and Sediment Transport Processes
Type
article
Field-Weighted Citation Impact
3.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Flow Resistance and Hydraulic Geometry in Gravel‐And Boulder‐Bed Rivers

Rob Ferguson, Alain Recking
2 citations
Water Resources Research
Hydrology and Sediment Transport Processes
3.43
article

Flow Resistance and Hydraulic Geometry in Gravel‐And Boulder‐Bed Rivers

Rob Ferguson, Alain Recking
article en
2 citations

Abstract

Abstract The frictional resistance of river beds affects how water discharge is partitioned between depth and velocity, which is important in many aspects of hydrology, geomorphology, and aquatic ecology. Many of the most widely‐used resistance equations predict reach‐average velocity from relative submergence (RS), the ratio of mean flow depth to a bed roughness height such as the 84th percentile of the bed grain‐size distribution ( D 84 ). Nondimensional hydraulic geometry (HG) is an alternative approach that directly partitions unit discharge into depth and velocity. We show that any RS equation has an implicit or explicit HG equivalent, and the other way round. Analysis of a large set of flow measurements in gravel‐ and boulder‐bed channels confirms previous findings that HG equations using D 84 outperform mathematically equivalent RS equations in predicting velocity. This paradox is explained by mathematical analysis and numerical experiments, both of which show that HG equations are less sensitive to the inevitable measurement uncertainty in the variables required for a prediction and the observed velocity used for testing. We also propose a new, simple and effective HG equation using D 84 to predict depth and velocity from unit discharge. It is derived in the same way as the now widely‐used variable‐power equation equation (Ferguson, 2007, https://doi.org/10.1029/2006wr005422 ) and for deep flows it reduces to an inverted Manning‐type equation. It should be possible to use HG equations for flow resistance in sand‐bed and bedrock rivers, but this may require new definitions of roughness height.

Water Resources ResearchVol. 61(3)
Institut polytechnique de Grenoble (FR), Centre National de la Recherche Scientifique (FR), Duke University (US), Durham University (GB), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Institut des Géosciences de l'Environnement (FR), Institut de Recherche pour le Développement (FR), Université Grenoble Alpes (FR)
Openalex Percentile: Top 10%
Hydrology and Sediment Transport Processes
3.43
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.