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Related Experiment Videos

Cadmium desorption in sand.

Y T Tran1, D A Barry, K Bajracharya

  • 1Water Corporation, 629 Newcastle Street, Leederville, Western Australia 6007, Australia. yen.tran@watercorporation.com.au

Environment International
|December 31, 2002
PubMed
Summary
This summary is machine-generated.

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Cadmium desorption from sand showed low recovery, with hysteresis observed. A linear retardation model effectively simulated column data, indicating pH independence for desorption.

Area of Science:

  • Environmental Science
  • Soil Science
  • Geochemistry

Background:

  • Cadmium (Cd) contamination in soils poses environmental risks.
  • Understanding Cd desorption is crucial for remediation strategies.
  • Sorption and desorption processes influence metal mobility in porous media.

Purpose of the Study:

  • To investigate cadmium desorption from sand using batch and flow-through methods.
  • To model the transport and sorption/desorption behavior of Cd in soil columns.
  • To evaluate the influence of pH and pore-water velocity on Cd desorption.

Main Methods:

  • Batch experiments at varying pH (5.5, 6.0, 6.5) to assess Cd desorption.
  • Flow-through column experiments to determine transport parameters.

Related Experiment Videos

  • Application of Freundlich isotherm and linear retardation models for data fitting.
  • Main Results:

    • Low Cd desorption recovery observed in batch experiments, with hysteresis between sorption and desorption.
    • Freundlich isotherm adequately described batch desorption, with coefficients increasing with pH.
    • Column experiments showed pH-independent desorption, and a linear retardation model simulated breakthrough curves effectively.

    Conclusions:

    • Cadmium desorption from sand is characterized by hysteresis and is pH-independent in flow-through experiments.
    • A simple linear retardation model with distinct sorption/desorption isotherms accurately simulates column transport.
    • The findings provide insights into Cd mobility and inform environmental risk assessment.