Linkages between bedload displacements and topographic change

Abstract

Changes in bed topography that build and maintain channel morphology are driven by the displacements of individual particles, either though their entrainment or deposition. However, the linkages between these topographic changes and individual grain displacements have not been comprehensively addressed, as many historical tracer studies have not included coincident topographic data. In this study, we compare the movements of bedload tracers to the differences in repeat topographic surveys across four gravel-bed river reaches. To do this, we apply a 1-D Bayesian survival process model to the starting and ending locations of tracers. This model

Bedload tracing with RFID tags in gravel‐bed rivers: Review and meta‐analysis after 20 years of field and laboratory experiments

“…Such intensive reach-scale monitoring has been very useful for interpreting morphological processes such as bar downstream migration or lateral accretion in terms of individual particle deposition and burial (McQueen et al, 2021). These morphological effects are known to produce multi-modal path length distributions that can be reproduced by Bayesian survival process models, as recently demonstrated with several RFID datasets (McDowell et al, 2021;McDowell & Hassan, 2020).…”

“…Process-based laboratory experiments including RFID tracers have not been widely used so far and restricted to the study of abrasion rates (Cassel et al, 2018), particle shape-effect on mobility (Cassel, Lavé, et al, 2021) and process-form interactions (e.g. McDowell et al, 2021). Recent developments of a specifically designed flume for RFID tracking (Hufnagel & MacVicar, 2018) should foster laboratory experiments with RFID tracers.…”

“…Several RFID experiments were also dedicated to interactions between bedload transfer and morphodynamics of riffle‐pool‐bar units, generally by combining tracer data with 2D or 3D hydraulic modelling and/or with high‐resolution topographic differencing data (Arnaud et al, 2017; Brousse, Arnaud‐Fassetta, et al, 2020; Chapuis et al, 2015; McDowell et al, 2021; McQueen et al, 2021; Milan, 2013). Such intensive reach‐scale monitoring has been very useful for interpreting morphological processes such as bar downstream migration or lateral accretion in terms of individual particle deposition and burial (McQueen et al, 2021).…”

Sediment Dynamics and Bed Stability in Step‐Pool Streams: Insights From 18 Years of Field Observations

“…In this study, we conservatively estimated ε z as 0.02 m, which approximates the median grain size of the pool sediment. Systematic bias in elevation data has been approximated in previous studies at this site as 0.01 m (McDowell et al, 2021). Interpolation errors were estimated for each DEM by calculating the RMSE between the measured elevations for each point in the DEM and the calculated raster value from the IDW algorithm.…”

A multi-spatiotemporal scale strategy to evaluate factors controlling pebble mobility and its interactions with bedforms in a lowland gravel-bed river

“…This assumption has been extensively explored using various approaches that aim to estimate the transported volumes by applying the inverse method (Ashmore and Church, 1998;Church, 2006). Furthermore, the influence of bed morphology on travel distance, real or presumed, is more or less explicit in numerous studies (e.g., Beechie 2001;Hassan and Church, 1992;Hassan et al, 1991;Hassan and Bradley, 2017;Kasprak et al, 2015;Kondolf and Matthews, 1986;Lamarre and Roy, 2008;McDowell and Hassan, 2020;McDowell et al, 2021; This preprint research paper has not been peer reviewed. Electronic copy available at: https://ssrn.com/abstract=4151707 P r e p r i n t n o t p e e r r e v i e w e d McEwan, 2001;McQueen et al, 2021;Papangelakis and Hassan, 2016;Pyrce and Ashmore, 2003a, 2003bSchmidt and Gintz, 1995;Sear, 1996;.…”