Particle Saltation Data for "Flume Experiments on the Erosive Energy of Bed Load Impacts on Rough and Planar Beds"

No Thumbnail Available
Can’t use the file because of accessibility barriers? Contact us with the title of the item, permanent link, and specifics of your accommodation need.

Date

2021

Journal Title

Journal ISSN

Volume Title

Publisher

Journal of Geophysical Research: Earth Surface

Abstract

Understanding bed load impact dynamics on exposed bedrock in rivers is crucial to quantifying the erosive energy of a stream. Observations of the bed load saltation trajectories and impact energies are lacking, particularly in channels with non-planar bed topography. In this study, we performed four flume experiments of saltating gravel to offer new insights on the dependence of particle impact dynamics on transport stage and bed topography. Our experiments used two different boundary shear stresses (τb= 36.5 and 25.4 Pa) and two different bed configurations, planar and non-planar (bedrock discs uniformly oriented at 10˚ from the bed surface). For each experiment, we indirectly estimated the impact energies from the trajectories of particles with high-speed video imaging and measured the erosion rates of rock samples embedded in the flume floor. The planar and non-planar beds had negative and constant relationships, respectively, between energy delivered to the bed and transport stage. The non-planar bed had a heavier tailed distribution of impact energy than the planar bed, which implies a greater number of rare highly erosive impacts. Probabilistic formulations of particle trajectories better predict the increase or decrease in erosion rate across experiments than deterministic regression equations. Our findings suggest that bedrock erosion models should consider a distribution of possible bed load impact energies, particularly for natural river channels that have rough surfaces.

Description

Keywords

Saltation components hop height length angle diameter velocity

Citation

Journal

DOI

Link(s) to data and video for this item

Relation

Rights

Type

Dataset