z-logo
open-access-imgOpen Access
Mind the Exposure Gaps—Modeling Chemical Transport in Sediment Toxicity Tests
Author(s) -
Fabian C. Fischer,
Kyoshiro Hiki,
Karline Soetaert,
Satoshi Endo
Publication year - 2021
Publication title -
environmental science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.851
H-Index - 397
eISSN - 1520-5851
pISSN - 0013-936X
DOI - 10.1021/acs.est.1c03201
Subject(s) - sediment , dissolved organic carbon , desorption , environmental chemistry , chemistry , pore water pressure , diffusion , environmental science , geology , adsorption , geotechnical engineering , organic chemistry , geomorphology , physics , thermodynamics
Chemical exposure in flow-through sediment toxicity tests can vary in time, between pore and overlying water, and amid free and bound states, complicating the link between toxicity and observable concentrations such as free pore ( C free,pore ), free overlying ( C free,over ), or the corresponding dissolved concentrations ( C diss , free + bound to dissolved organic carbon, DOC). We introduce a numerical model that describes the desorption from sediments to pore water, diffusion through pores and the sediment-water boundary, DOC-mediated transport, and mixing in and outflow from overlying water. The model explained both the experimentally measured gap between C free,over and C free,pore and the continuous decrease in overlying C diss . Spatially resolved modeling suggested a steep concentration gradient present in the upper millimeter of the sediment due to slow chemical diffusion in sediment pores and fast outflux from the overlying water. In contrast to continuous decrease in overlying C diss expected for any chemical, C free,over of highly hydrophobic chemicals was kept relatively constant following desorption from DOC, a mechanism comparable to passive dosing. Our mechanistic analyses emphasize that exposure will depend on the chemical's hydrophobicity, the test organism habitat and uptake of bound chemicals, and the properties of sediment components, including DOC. The model can help to re-evaluate existing toxicity data, optimize experimental setups, and extrapolate laboratory toxicity data to field exposure.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom