Robust Means for Estimating Black Carbon-Water Sorption Coefficients of Organic Contaminants in Sediments
ER-1747
Objective
Sediment beds at many Department of Defense (DoD) sites are contaminated with hydrophobic organic compounds (HOC). These HOCs are persistent and tend to bioaccumulate. In order to improve the fundamental understanding of chemical sorption to real world sediments, the role of black carbons (BC) (e.g., soots, chars, coal dust) in these deposits needs to be elucidated. Such BC sorption greatly reduces the bioavailability of a wide range of organic contaminants. This improved understanding will have several important impacts, including improved understanding and modeling of bioavailability when site managers are using sediment concentration data, enhanced means to use and interpret passive samplers when assessing wide arrays of target compounds using only a few performance reference compounds, insights to kinetic limitations associated with phenomena like contaminant desorption from resuspended sediments, an ability to pre-judge the sorption of a far more diverse array of organic contaminants, and more accurate expectations for risk reduction associated with remedial efforts since BC sorption exhibits nonlinear behavior.
The overarching objective of this project is to improve the fundamental understanding of organic chemical sorption to BCs in sediments while providing a practical means for evaluating this interaction quantitatively. This can be done by elucidating the polyparameter linear free energy relationship (ppLFER) parameters needed to evaluate HOC partitioning between aqueous solution and the water-wet surfaces of BCs, i.e., the compounds' KBC and Freundlich n values, for any compound of interest.
Technical Approach
The intermolecular interactions that control sorption of HOCs to BCs can be examined using a relatively small set of test sorbates that exhibit a diversity of functionalities (and hence, differential mixes of dispersive interactions, dipole and induce-dipole effects, and abilities to participate in hydrogen bonding as H-acceptors, H-donors, or both). The test sorbates already have the relevant abilities to participate in these interactions quantified, so their isotherms allow one to fit the corresponding system-dependent coefficients. Once this is done, any new sorbate of interest, whose properties have also previously been established, can immediately be understood as to its BC sorption tendencies. This approach also allows estimation of the nonlinearity of sorptive interactions.
Benefits
By obtaining a means to estimate BC sorption in sediments (and soils) of interest, this project will provide a significant improvement on the widely used, but inaccurate, model for sorption coefficients, Kd = focKoc. This model is used widely to evaluate transport and biouptake, but it has proven inaccurate by up to 100 times in many cases. By using an accurate Kd estimator, a better assessment of chemical fluxes, bioaccumulation, and availability for processes like biodegradation will be available. (Anticipated Project Completion - 2013)
Points of Contact
Principal Investigator
Dr. Philip Gschwend
Massachusetts Institute of Technology
Phone: 617-253-1638
Fax: 617-258-8850
Document Types
- Fact Sheet - Brief project summary with links to related documents and points of contact.
- Final Report - Comprehensive report for every completed SERDP and ESTCP project that contains all technical results.
- Cost & Performance Report - Overview of ESTCP demonstration activities, results, and conclusions, standardized to facilitate implementation decisions.
- Technical Report - Additional interim reports, laboratory reports, demonstration reports, and technology survey reports.
- Guidance - Instructional information on technical topics such as protocols and user’s guides.
- Workshop Report - Summary of workshop discussion and findings.
- Multimedia - On demand videos, animations, and webcasts highlighting featured initiatives or technologies.
- Model/Software - Computer programs and applications available for download.
- Database - Digitally organized collection of data available to search and access.
