Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Monsalve, Angel; Yager, Elowyn; Schmeeckle, Mark (2017): Effects of bedforms and large protruding grains on near-bed flow hydraulics in low relative submergence conditions [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.880312, Supplement to: Monsalve, A et al. (2017): Effects of Bed Forms and Large Protruding Grains on Near-Bed Flow Hydraulics in Low Relative Submergence Conditions. Journal of Geophysical Research-Earth Surface, 122(10), 1845-1866, https://doi.org/10.1002/2016JF004152

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX Citation

Abstract:
In mountain rivers, bedforms, large relatively immobile grains, and bed texture and topographic variability can significantly alter local and reach-averaged flow characteristics. The low relative submergence of large immobile grains causes highly three-dimensional flow fields that may not be represented by traditional shear stress, flow velocity, and turbulence intensity equations. To explore the influence of large protruding grains and bedforms on flow properties, we conducted a set of experiments in which we varied the relative submergence while holding the sediment transport capacity and upstream sediment supply constant. Flow and bed measurements were conducted at the beginning and end of each experiment to account for the absence or presence of bedforms, respectively. Detailed information on the flow was obtained by combining our measurements with a 3D numerical model. Commonly used velocity profile equations only performed well at the reach scale when shallow flow effects and the roughness length of the relatively mobile sediment were considered. However, at the local scale large deviations from these profiles were observed and simple methods to estimate the spatial distribution of near-bed shear stresses are likely to be inaccurate. Zones of high turbulent kinetic energy occurred near the water surface and were largely controlled by the immobile grains and plunging flow. The reach-averaged shear stress did not correlate to depth or slope, as commonly assumed, but instead was controlled by the relative boulder submergence and degree of plunging flow. For accurate flow predictions in mountain rivers, the effects of bedforms and large boulders must be considered.
Comment:
Data included in this repository includes velocity, near-bed shear stress field, grain size distribution, bed and water surface elevation, and comparisons on the shear stress calculated using different methods including Turbulent Kinetic Energy.
Size:
84.1 MBytes

Download Data

Download dataset