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The Eulerian method focuses on fixed points in space where fluid properties, such as velocity, pressure, and temperature, are observed as the fluid moves between these...
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Related Experiment Video

Updated: Feb 25, 2026

Image-based Lagrangian Particle Tracking in Bed-load Experiments
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Published on: July 20, 2017

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Image-based Lagrangian Particle Tracking in Bed-load Experiments.

Alessio Radice1, Sankar Sarkar2, Francesco Ballio3

  • 1Dept. of Civil and Environmental Engineering, Politecnico di Milano; alessio.radice@polimi.it.

Journal of Visualized Experiments : Jove
|August 9, 2017
PubMed
Summary

Particle tracking velocimetry (PTV) offers a cost-effective method for measuring river flows. This study successfully applied PTV to analyze lightweight sediment transport in a covered flow environment, detailing particle movement patterns.

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Area of Science:

  • Environmental Science
  • Fluid Dynamics
  • Sediment Transport

Background:

  • Image analysis techniques are increasingly utilized for cost-effective and detailed river flow measurements.
  • Understanding sediment transport, particularly bed-load, is crucial for riverine ecosystem management and hydraulic engineering.
  • Existing methods for analyzing particle movement in bed-load transport can be costly or lack detailed quantitative data.

Purpose of the Study:

  • To apply Particle Tracking Velocimetry (PTV) for analyzing the intermittent motion of lightweight sediment in a bed-load experiment.
  • To characterize sediment transport under covered flow conditions with a fixed rough bed.
  • To establish and validate an experimental protocol for PTV-based bed-load analysis.

Main Methods:

  • Utilized Particle Tracking Velocimetry (PTV) with two action-cameras for large field-of-view visualization.
  • Conducted experiments with lightweight sediment released at the flume inlet under covered flow and fixed rough bed conditions.
  • Employed acoustic measurements for preliminary characterization of stream-wise velocity profiles and detailed image pre-processing, automatic particle tracking, and post-processing.

Main Results:

  • Successfully visualized and tracked individual bed-load particles, revealing intermittent motion with alternating movement and stillness phases.
  • Generated probability distributions for particle hop length and duration.
  • Demonstrated the validity of the developed PTV protocol through comparison with existing literature.

Conclusions:

  • Particle Tracking Velocimetry (PTV) is a viable and effective technique for quantitative analysis of bed-load sediment transport.
  • The established protocol provides a robust method for studying particle dynamics in challenging flow conditions.
  • The findings contribute to a better understanding of sediment transport mechanisms in rivers.