{"title":"Flow Resistance and Hydraulic Geometry in Gravel-And Boulder-Bed Rivers","authors":"Rob Ferguson, Alain Recking","doi":"10.1029/2024wr038852","DOIUrl":null,"url":null,"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 (<i>D</i><sub>84</sub>). 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 <i>D</i><sub>84</sub> 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 <i>D</i><sub>84</sub> 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.","PeriodicalId":23799,"journal":{"name":"Water Resources Research","volume":"5 1","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Resources Research","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1029/2024wr038852","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
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 (D84). 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 D84 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 D84 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.
期刊介绍:
Water Resources Research (WRR) is an interdisciplinary journal that focuses on hydrology and water resources. It publishes original research in the natural and social sciences of water. It emphasizes the role of water in the Earth system, including physical, chemical, biological, and ecological processes in water resources research and management, including social, policy, and public health implications. It encompasses observational, experimental, theoretical, analytical, numerical, and data-driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.