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Proton buffering and metal leaching in sandy soils
Ellen P M J Fest1, Erwin J M Temminghoff, Jasper Griffioen
1Department Of Soil Quality, Wageningen University, P.O. Box 8005, 6700 EC Wageningen, The Netherlands.
Environmental Science & Technology
|November 22, 2005
Summary
This study models how sandy soils buffer against acidification, predicting metal release. A multisurface model accurately forecasts pH changes and metal desorption in contaminated soils.
Area of Science:
- Environmental Science
- Soil Science
- Geochemistry
Background:
- Soil acidification is a growing concern, impacting metal leaching from contaminated sites.
- Understanding metal release mechanisms is crucial for environmental remediation and risk assessment.
Purpose of the Study:
- To investigate the buffering capacity of sandy soils during acidification.
- To model the release of major (Al, Ca, Mg) and trace metals (Cu, Cd, Ni, Zn) from soil surfaces.
- To evaluate the predictive accuracy of a multisurface model for pH changes and metal desorption.
Main Methods:
- Utilized a mechanistic multisurface model to describe metal sorption onto soil components (organic matter, clay, Fe (hydr)oxides).
- Conducted step-wise acidification experiments using a flow-through reactor with contaminated sandy soil samples.
- Measured pH and metal concentrations (major and trace) after successive proton additions.
Main Results:
- The multisurface model provided satisfying predictions of soil pH changes between pH 6 and 4.
- Model predictions for pH were slightly underestimated below pH 4, potentially due to unmodeled Al-buffering minerals.
- Desorption of major and trace metals was generally predicted well, within a factor of 1-5 on a linear scale.
Conclusions:
- The multisurface model effectively predicts proton buffering and metal desorption in sandy soils across a wide pH range and varying metal content.
- The model serves as a valuable tool for assessing the environmental impact of acidification on metal mobility in contaminated soils.
- Further refinement of the model to include Al-buffering minerals could improve accuracy at lower pH levels.