Mapping 2‐D Bedload Rates Throughout a Sand‐Bed River Reach From High‐Resolution Acoustical Surveys of Migrating Bedforms. Issue 11 (15th November 2022)

• Record Type: Journal Article
• Authors: Le Coz, Jérôme; Perret, Emeline; Camenen, Benoît; Topping, David J.; Buscombe, Daniel D.; Leary, Kate C. P.; Dramais, Guillaume; Grams, Paul E.
• Is Part Of: Water resources research. Volume 58:Issue 11(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-11-15
• Subjects: river -- bedload -- dune‐tracking -- sand -- acoustical -- Colorado; Hydrology -- Periodicals; 333.91
• DOI: 10.1029/2022WR032434
• Languages: English
• ISSNs: 0043-1397

Abstract

Abstract: This paper introduces a method for determining spatially‐distributed, 2‐D bedload rates using repeat, high‐resolution surveys of the bed topography. As opposed to existing methods, bedform parameters and bedload rates are computed from bed elevation profiles interpolated along the local bedform velocities. The bedform velocity fields are computed applying Large‐Scale Particle Image Velocimetry, initially developed for surface velocity measurements, to pairs of successive Digital Elevation Models (DEMs). The bathymetry data are interpolated along the direction of each bedform velocity and the mean height of the closest bedform is computed. The dune shape factor is also evaluated along each bedform direction of travel. The local bedload fluxes can be computed by multiplying the bedform velocity by its mean height averaged over the successive two DEMs, and they can be time‐averaged over a series of DEM pairs. This method is applied to a high‐resolution acoustical survey of an approximately 300 m long by 40 m wide reach of the Colorado River in Grand Canyon upstream from Diamond Creek, USA. The repeat period was about 6–10 min and bed elevation was interpolated every 0.25 m. The obtained results provide insight to the spatial and temporal variability of bedload rates, bedform parameters and bedload fluxes through cross‐sections. The method can be applied to other repeated acoustical surveys of river reaches provided that the space and time resolutions are high enough to capture the local movement of bedforms. Key Points: We introduce a method for mapping bedload fluxes using repeat, high‐resolution acoustical bathymetric surveys of a river reach The method combines cross‐correlation velocimetry and local analysis of individual bedforms along their direction of travel Application to the Colorado River in Grand Canyon provides a proof‐of‐concept and shows the spatio‐temporal variability of local bedload