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The typical arrangement of pebbles in transverse ribs (TR) on the dry streambed of the Dandero R., Danakil, Eritrea.  

The typical arrangement of pebbles in transverse ribs (TR) on the dry streambed of the Dandero R., Danakil, Eritrea.  

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A first aim of this paper is to investigate the existence, if any, and the parameters defining the occurrence conditions of a continuum of rhythmic, transverse roughness elements of gravel-bed rivers such as transverse ribs, step-pools and riffle and pool sequences. The investigation is carried out by the analysis of a large data set consisting of...

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... A full understanding of AHG variations will require reduction of these uncertainties, and more generally to understand the key catchment-and reach-scale processes that govern channel shape and friction. In particular, the observed relationship between Fr 50 and AHG exponents suggests to further investigate the hydromorphological processes that drive the distribution of geomorphic units (riffle, run, and pool; Thompson, 2001) and the various forms of friction in reaches (Billi et al., 2014;Yochum et al., 2012). Such investigations would help to better predict hydraulic geometry and therefore aid river management at unvisited locations or data poor locations. ...
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Reach‐scale at‐a‐station hydraulic geometry (AHG) relationships are power laws that describe variations of reach‐averaged water depth, wetted width, and current velocity in stream reaches when discharge varies. Modeling AHG exponents is important, because the variations of hydraulics with discharge in stream networks influence physical habitats of aquatic species, biodiversity, water temperature, nutrient fluxes, and sediment transport. Theoretical approaches indicated that AHG exponents should depend on topographic descriptors of cross sections and roughness elements. Empirical approaches suggested that AHG exponents partly depend on hydraulic characteristics measured at a single discharge. We used a unique data set of AHG observed in 812 stream reaches (obtained from measurements at several discharge rates or from hydrodynamic models) to (1) test the consistency of theoretical and empirical predictions of AHG exponents and (2) test the generality of AHG predictions across rivers of different countries with variable landscape settings. We found that observed AHG depended on topographic predictors (describing cross‐section shape and substrate size) as expected from theory. However, AHG exponents were better predicted by empirical hydraulic characteristics of reaches: the ratio of wetted width to bankfull width and the reach Froude number. The effects of hydraulic variables were consistent with those of topographic predictors. In addition, relations between AHG and hydraulic predictors were significant and with similar direction in different data sets. Despite limited explanatory power, our results help identifying general drivers of AHG exponents. Their application still requires measurements at a single discharge rate but open perspectives of generalized AHG prediction by remote sensing.
... A full understanding of AHG variations will require reduction of these uncertainties, and more generally to understand the key catchment-and reach-scale processes that govern channel shape and friction. In particular, the observed relationship between Fr50 and AHG exponents suggests to further investigate the hydromorphological processes that drive the distribution of geomorphic units (riffle, run, pool; Thompson, 2001) and the various forms of friction in reaches (Yochum et al., 2012;Billi et al., 2014). Such investigations would help to better predict hydraulic geometry and therefore aid river management at unvisited locations or data poor locations. ...
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