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Related Experiment Video

Updated: Feb 7, 2026

Laboratory and Field Protocol for Estimating Sheet Erosion Rates from Dendrogeomorphology
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Understanding erosion processes using rare earth element tracers in a preformed interrill-rill system.

Xun-Chang John Zhang1, Gang Liu2, Fenli Zheng2

  • 1USDA-ARS Grazinglands Research Laboratory, El Reno, OK 73036, USA.

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|July 13, 2018
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Summary

This study reveals that while rill erosion causes most soil loss, interrill erosion is more sensitive to rainfall intensity. Increased sediment from interrill areas can suppress rill detachment, impacting soil erosion dynamics.

Keywords:
Interrill erosionRare earth elementRill erosionSediment tracerSpatial erosion distribution

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Area of Science:

  • Earth Science
  • Environmental Science
  • Soil Science

Background:

  • Understanding soil erosion processes requires tracking sediment source and movement.
  • Interrill and rill erosion are key components of watershed soil loss.

Purpose of the Study:

  • Identify dominant erosion processes in a watershed model.
  • Characterize how upslope interrill erosion affects downslope interrill and rill erosion.

Main Methods:

  • Utilized a physical watershed model with coarse-textured soil.
  • Tagged topographic units with rare earth element (REE) oxides.
  • Simulated rainfall at increasing intensities (60, 90, 120 mm/h) and collected runoff and sediment.

Main Results:

  • Interrill erosion rate and sediment concentration increased with downslope distance.
  • Rill erosion contributed the majority of soil loss, but its proportion decreased with increased rainfall intensity and rill network maturity.
  • Interrill erosion was more sensitive to rainfall intensity than rill erosion, which was controlled by flow discharge, gradient, and rill evolution.

Conclusions:

  • Sediment transport dynamics influence interrill erosion rates.
  • Rill erosion is primarily limited by detachment and development processes.
  • Increased sediment delivery from interrill areas can suppress rill detachment, offering insights for soil erosion models.