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Explaining PAH desorption from sediments using Rock Eval analysis
Anton Poot1, M T O Jonker2, Frits Gillissen1
1Aquatic Ecology and Water Quality Management Group, Department of Environmental Sciences, Wageningen University, P.O. Box 47, 6700 AA Wageningen, The Netherlands.
Environmental Pollution (Barking, Essex : 1987)
|July 27, 2014
Summary
Residual carbon (RC) effectively predicts polycyclic aromatic hydrocarbon (PAH) desorption from river sediments, outperforming black carbon (BC). RC is recommended for assessing sediment-bound PAH bioavailability and risk.
Area of Science:
- Environmental Chemistry
- Geochemistry
- Sedimentology
Background:
- Polycyclic Aromatic Hydrocarbons (PAHs) are persistent organic pollutants in river systems.
- Understanding PAH sorption and desorption is crucial for environmental risk assessment.
- River sediments act as sinks and sources for PAHs, influencing their environmental fate.
Purpose of the Study:
- To evaluate Rock Eval residual carbon (RC) and black carbon (BC) as predictors of PAH desorption kinetics in river sediments.
- To determine the suitability of single versus dual domain sorption models for PAH distribution coefficients (KD).
- To identify a relevant sediment characteristic for assessing PAH bioavailability and risk.
Main Methods:
- Rock Eval analysis for residual carbon (RC) and black carbon (BC) characterization.
- Sequential Tenax extractions to determine PAH desorption kinetic parameters.
- Calculation of polycyclic aromatic hydrocarbon distribution coefficients (KD).
- Statistical modeling (single vs. dual domain) to explain KD.
Main Results:
- Residual carbon (RC) adequately predicts fast, slow, and very slow desorbing fractions of 4-ring PAHs.
- RC showed a stronger correlation with PAH desorption than BC (BC constituted only 7% of RC).
- A dual domain sorption model best explained KD for low molecular weight PAHs, while a single domain model was better for high molecular weight PAHs.
Conclusions:
- Residual carbon (RC) is a relevant sediment characteristic for predicting the bioavailability of 4-ring PAHs.
- RC is a superior predictor compared to black carbon (BC) for sediment-bound PAH risk assessment.
- The findings support the use of RC in environmental monitoring and risk management of contaminated river sediments.
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