Uncertainty analysis for an equilibrium partitioning‐based estimator of polynuclear aromatic hydrocarbon bioaccumulation potential in sediments

Clarke, Joan U.; McFarland, Victor

doi:10.1002/etc.5620190216

Cited by 8 publications

(2 citation statements)

References 40 publications

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“…The uncertainty of K oc -based organic contaminant partitioning has been discussed (Clarke and McFarland, 2000), as have means of using reference sediment to improve the accuracy of K oc -based partitioning predictions. Our analyses illustrate the difficulties of applying single partitioning models across multiple environmental conditions.…”

Section: Hydrophobic Contaminant Partitioning Behaviourmentioning

confidence: 99%

“…Concurrently, Könemann and van Leeuwen (1980) showed a linear relationship between K oc and the partitioning of a series of chlorobenzenes from sediments to lipid normalised fish biomass. Clarke and McFarland (2000) synthesized information from Karickhoff, and Könemann and van Leeuwen, and derived a relationship for theoretical bioaccumulation potential that predicts the partitioning behaviour of HOCs between sediment organic carbon and organism lipid. Using K oc -derived relationships and a minimal amount of sediment-specific information, large numbers of sediments can be rapidly screened for bioaccumulation potential.…”

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confidence: 99%

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Bioavailability of hydrophobic organic contaminants and quality of organic carbon

et al. 2004

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U.S. laws require that contaminant bioaccumulation potential be evaluated before dredged material can be recycled. Simple fugacity models, e.g. organic contaminant aqueous partition coefficient (K oc )-derived theoretical bioaccumulation potential, are commonly used to estimate the partitioning of hydrophobic organic contaminants between sediment organic matter and organism lipid. K oc -derived models, with or without the addition of a soot carbon term, did not accurately or consistently predict total polycyclic aromatic hydrocarbons (PAHs) and polychlorobiphenyls partitioning of eight sediments from ongoing dredging operations onto C 18 -coated filter paper. These models also failed to predict the partitioning of individual PAHs from these eight sediments. These data underscore the trade-offs between the ease of using simple models and the uncertainty of predicted partitioning values.

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Section: Hydrophobic Contaminant Partitioning Behaviourmentioning

confidence: 99%

mentioning

confidence: 99%

Bioavailability of hydrophobic organic contaminants and quality of organic carbon

et al. 2004

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Scaling Methods of Sediment Bioremediation Processes and Applications

Adriaens

Michalak

2006

Engineering in Life Sciences

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Bioremediation has been argued to be one of the most cost-effective remediation technologies available to reduce soil, sediment, or groundwater contamination, particularly because this approach may allow for the implementation of in-place strategies. Recent trends have advocated the application of innovative sediment stabilization strategies through placement of (reactive) capping material to allow long-term biodegradation of contaminants in these complex biogeochemical environments. The potential long-term risk reduction associated with this approach requires a demonstration of causal relationships between sediment or contaminant stability on the one hand, and microbial reactivity on the other. The spatial analysis needed to fully understand and quantify these correlations requires sensitive probabilistic techniques. Geostatistics has been used for the characterization of multi-scale spatial patterns for the last few decades, and the analysis of microbial attributes has shown significant spatial structures on microbial abundance and activity. However, there is a dearth of information on the applicability of geostatistics to quantitatively describe the interaction between the microorganisms and their environment. Using the Passaic River (NJ) dioxin data as a model dataset, multiple scaling models were applied to scale and interpolate sampled dioxin data and derive dechlorination signatures in sediments. Unlike conventional geostatistic tools that are based on the pointto-point spatial structures, the new multi-scale model (M-Scale) introduces a new framework for spatial analysis in which regional values at different scales are anchored by the correlations to each other. Spatial dioxin distributions and microbial dechlorination signatures were used as benchmarks for comparison of M-Scale to ordinary kriging. The results from cross-validation and jackknifing approaches applied to these datasets were analyzed and compared using Quantile-Quantile (Q-Q) plots and reproduction coefficients. These plots indicated that the M-Scale better preserves the local features of hotspots during data interpolation to a basin-wide scale. Current efforts focus on mapping microbial abundance and respiratory competence in the Anacostia River, based on measurements at three different scales. The outcomes of this work will be used to develop an uncertainty-based spatial decision tool for site remediation in this watershed using various capping strategies.

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Effects of triclosan on marine benthic and epibenthic organisms

Perron

Cantwell

et al. 2012

Enviro Toxic and Chemistry

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Triclosan is an antimicrobial compound that has been widely used in consumer products such as toothpaste, deodorant, and shampoo. Because of its widespread use, triclosan has been detected in various environmental media, including wastewater, sewage sludge, surface waters, and sediments. Triclosan is acutely toxic to numerous aquatic organisms, but very few studies have been performed on estuarine and marine benthic organisms. For whole sediment toxicity tests, the sediment-dwelling estuarine amphipod, Ampelisca abdita, and the epibenthic mysid shrimp, Americamysis bahia, are commonly used organisms. In the present study, median lethal concentration values (LC50) were obtained for both of these organisms using water-only and whole sediment exposures. Acute 96-h water-only toxicity tests resulted in LC50 values of 73.4 and 74.3 µg/L for the amphipod and mysid, respectively. For the 7-d whole sediment toxicity test, LC50 values were 303 and 257 mg/kg (dry wt) for the amphipod and mysid, respectively. Using equilibrium partitioning theory, these whole sediment values are equivalent to interstitial water LC50 values of 230 and 190 µg/L for the amphipod and mysid, respectively, which are within a threefold difference of the observed 96-h LC50 water-only values. Triclosan was found to accumulate in polychaete tissue in a 28-d bioaccumulation study with a biota-sediment accumulation factor of 0.23 kg organic carbon/kg lipid. These data provide some of the first toxicity data for triclosan with marine benthic and epibenthic species while also indicating a need to better understand the effects of other forms of sediment carbon, triclosan ionization, and organism metabolism of triclosan on the chemical's behavior and toxicity in the aquatic environment.

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Uncertainty analysis for an equilibrium partitioning‐based estimator of polynuclear aromatic hydrocarbon bioaccumulation potential in sediments

Cited by 8 publications

References 40 publications

Bioavailability of hydrophobic organic contaminants and quality of organic carbon

Bioavailability of hydrophobic organic contaminants and quality of organic carbon

Scaling Methods of Sediment Bioremediation Processes and Applications

Effects of triclosan on marine benthic and epibenthic organisms

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