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Related Experiment Video

Updated: Jun 2, 2026

Determination of the Settling Rate of Clay/Cyanobacterial Floccules
06:00

Determination of the Settling Rate of Clay/Cyanobacterial Floccules

Published on: June 11, 2018

Method for quantitative analysis of flocculation performance.

Ian C Tse1, Karen Swetland, Monroe L Weber-Shirk

  • 1School of Civil and Environmental Engineering, Cornell University, Ithaca, NY 14853, USA.

Water Research
|April 19, 2011
PubMed
Summary

A new method using the flocculation residual turbidity analyzer (FReTA) quantifies flocculation performance by measuring sedimentation velocity and residual turbidity. This allows for better water treatment plant process design and operation.

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Last Updated: Jun 2, 2026

Determination of the Settling Rate of Clay/Cyanobacterial Floccules
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Procedure to Evaluate the Efficiency of Flocculants for the Removal of Dispersed Particles from Plant Extracts
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Published on: April 9, 2016

Area of Science:

  • Water Treatment
  • Environmental Engineering
  • Colloid and Surface Chemistry

Background:

  • Sedimentation rate and residual turbidity are key parameters in water treatment flocculation processes.
  • Optimizing these parameters is crucial for efficient water purification and plant operation.

Purpose of the Study:

  • To introduce a novel method for quantitatively comparing flocculation performance.
  • To analyze sedimentation velocity distribution and post-sedimentation residual turbidity.

Main Methods:

  • Utilizing the flocculation residual turbidity analyzer (FReTA) to record turbidity during quiescent settling.
  • Calculating sedimentation velocity distributions from turbidity data.
  • Applying a modified gamma distribution to determine mean and variance of sedimentation velocity and residual turbidity.

Main Results:

  • The FReTA method provides quantitative data on sedimentation velocity distribution.
  • Residual turbidity after settling can be accurately determined.
  • The analysis allows for comparison of flocculator operating conditions' impact on floc properties.

Conclusions:

  • This new analysis method offers a robust tool for evaluating flocculation efficiency.
  • It enables a deeper understanding of how operating conditions influence floc characteristics.
  • Improved process design and operation in water treatment plants can be achieved.