Please use this identifier to cite or link to this item:
Title: The biology of bioavailability : The role of functional ecology in exposure processes : SERDP ER-1750
Authors: Bridges, Todd S.
Kennedy, Alan James, 1976-
Lotufo, Guilherme R.
Coleman, Jessica G.
Ruiz, Carlos E.
Lindsay, James H.
Wooley, Allyson H.
Steevens, Jeffery A.
McCall, Peter L., 1948-
Burgess, Robert M.
Fernandez, Loretta A.
Kaltenberg, Eliza
Matisoff, Gerald
Keywords: Sediment
Passive samplers
Aquatic ecology
Aquatic organisms--Effect of contaminated sediments on
Environmental risk assessment
Environmental management
Publisher: Environmental Laboratory (U.S.)
Engineer Research and Development Center (U.S.)
Series/Report no.: ERDC/EL;TR-17-2
Abstract: Abstract: The research objective was to improve accuracy of sediment exposure assessments by considering the functional ecology of benthic organisms and different exposure routes (sediment particles, pore water, overlying water). Laboratory experiments were conducted using four marine invertebrates (a worm, two amphipods, and a clam). Organisms were exposed to two different contaminated sediments within mesocosms designed to assess polychlorinated biphenyl (PCB) exposure from overlying water and whole sediment using pathway isolation chambers. The impacts of two sediment remediation methods were also tested: (1) a 2 cm sand cap; and (2) activated carbon (AC) that was not aggressively mixed with sediment prior to organism testing to simulate a field deployment. Porewater concentrations were assessed using polyethylene devices (PEDs) and provided a reasonable indicator of organism exposure but did not account for organisms with connections to the overlying water and direct particle ingestion. The sand cap significantly reduced PCB exposure for all the species except the clam while non-equilibrated AC did not result in significant reductions in bioaccumulation. These results can be used to design functional bioavailability assessments and provide basis for future guidance. Data were used to enhance the capability and predictive reliability of an existing modeling framework (RECOVERY).
Appears in Collections:Technical Report

Files in This Item:
File Description SizeFormat 
ERDC-EL TR-17-2.pdf13.53 MBAdobe PDFThumbnail