Sensor Networks and Geohazards

Hart, Jane K.; Martinez, Kirk

doi:10.1016/b978-0-12-818234-5.00037-7

Cited by 3 publications

(1 citation statement)

References 136 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Sear et al (2002) show that data from logging pebbles that record the strength of an electromagnetic field produced by buried wire loops can be used to track changes in pebble location in the littoral zone. However, tracking techniques are still not commonly applied in fluvial bedload research, despite ongoing developments in electronics and tracking methods in other fields (Dini et al, 2021; Hart & Martinez, 2022; Noonan et al, 2015). Although challenging, developing these techniques to link grain positions and entrainment/rest times throughout flood events would be an exciting new area for development, although the same challenges of linking the motion of the tracer particle to the local fluid forces remain.…”

Section: Methods To Measure τCmentioning

confidence: 99%

Improving predictions of critical shear stress in gravel bed rivers: Identifying the onset of sediment transport and quantifying sediment structure

Hodge,

Voepel,

Yager

et al. 2024

Earth Surf Processes Landf

View full text Add to dashboard Cite

Understanding when gravel moves in river beds is essential for a range of different applications but is still surprisingly hard to predict. Here we consider how our ability to predict critical shear stress (τc) is being improved by recent advances in two areas: (1) identifying the onset of bedload transport; and (2) quantifying grain‐scale gravel bed structure. This paper addresses these areas through both an in‐depth review and a comparison of new datasets of gravel structure collected using three different methods. We focus on advances in these two areas because of the need to understand how the conditions for sediment entrainment vary spatially and temporally, and because spatial and temporal changes in grain‐scale structure are likely to be a major driver of changes in τc. We use data collected from a small gravel‐bed stream using direct field‐based measurements, terrestrial laser scanning (TLS) and computed tomography (CT) scanning, which is the first time that these methods have been directly compared. Using each method, we measure structure‐relevant metrics including grain size distribution, grain protrusion and fine matrix content. We find that all three methods produce consistent measures of grain size, but that there is less agreement between measurements of grain protrusion and fine matrix content.

show abstract

Section: Methods To Measure τCmentioning

confidence: 99%