Literature DB >> 32274592

Evaluation of dredged sediment for aquatic placement: interpreting contaminant bioaccumulation.

Andrew D McQueen1, Guilherme R Lotufo2, Scott W Pickard3, Andrew M Lenox3, David W Moore2, Katherine von Stackelberg4, Burton C Suedel2.   

Abstract

The potential bioaccumulation of sediment-associated contaminants is one of the primary concerns associated with the aquatic placement of dredged sediment. Laboratory bioaccumulation tests with representative infaunal organisms exposed to dredged sediment and reference sediment are used to assess the potential for contaminant-related bioaccumulation impacts. Dredged sediment testing and evaluation guidance provides statistical inferences and numerous assessment factors (e.g., the magnitude of difference (MOD)) to interpret results; however, detailed information for applying these factors is lacking. Therefore, the focus of this work was to provide context for the application of the MOD as a line of evidence for evaluating bioaccumulation risk associated with dredged material placement in aquatic environments by considering variance (as coefficient of variation (CV)), MOD, and statistical differences associated with bioaccumulation bioassay tissue concentrations in three case studies. Based on peer-reviewed data and dredged material monitoring data, relatively low within-sample variability (CVs < 50%) of tissue concentrations can be achieved for commonly assessed constituents (e.g., polychlorinated biphenyls (PCBs), polycyclic aromatic hydrocarbons (PAHs), metals, and butyl tins). Thus, statistical comparisons were generally able to detect significant differences (p < 0.05; α = 0.05) across tissue concentrations with relatively low MODs (< 2-fold difference). Based on the observed variance, MOD, and statistical differences associated with bioaccumulation bioassay tissue concentrations, a 2-fold MOD can provide an additional line of evidence to evaluate bioaccumulative risk when statistical significance is observed. These results indicated that a judicious consideration of the sample variance and MOD is a useful factor when discerning meaningful differences among contaminant tissue concentrations.

Entities:  

Keywords:  Bioaccumulation; Dredging; Magnitude of difference; Sediment; Variability

Mesh:

Substances:

Year:  2020        PMID: 32274592     DOI: 10.1007/s10661-020-8236-z

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  14 in total

Review 1.  Biomagnification in marine systems: the perspective of an ecologist.

Authors:  John S Gray
Journal:  Mar Pollut Bull       Date:  2002       Impact factor: 5.553

Review 2.  Measuring bioaccumulation of contaminants from field-collected sediment in freshwater organisms: a critical review of laboratory methods.

Authors:  Jordana L Van Geest; David G Poirier; Paul K Sibley; Keith R Solomon
Journal:  Environ Toxicol Chem       Date:  2010-11       Impact factor: 3.742

3.  Empirical estimation of biota exposure range for calculation of bioaccumulation parameters.

Authors:  Aroon R Melwani; Ben K Greenfield; Earl R Byron
Journal:  Integr Environ Assess Manag       Date:  2009-01       Impact factor: 2.992

4.  Bioaccumulation of PCB congeners in marine benthic infauna.

Authors:  K Magnusson; R Ekelund; R Grabic; P-A Bergqvist
Journal:  Mar Environ Res       Date:  2006-01-18       Impact factor: 3.130

Review 5.  Spatially explicit ecological exposure models: a rationale for and path toward their increased acceptance and use.

Authors:  Theodore Wickwire; Mark S Johnson; Bruce K Hope; Marc S Greenberg
Journal:  Integr Environ Assess Manag       Date:  2011-02-24       Impact factor: 2.992

6.  Spatially explicit bioaccumulation modeling in aquatic environments: Results from 2 demonstration sites.

Authors:  Katherine von Stackelberg; Marc A Williams; Jonathan Clough; Mark S Johnson
Journal:  Integr Environ Assess Manag       Date:  2017-05-11       Impact factor: 2.992

7.  Movement patterns, habitat use and site fidelity of the white croaker (Genyonemus lineatus) in the Palos Verdes Superfund Site, Los Angeles, California.

Authors:  Barrett W Wolfe; Christopher G Lowe
Journal:  Mar Environ Res       Date:  2015-06-09       Impact factor: 3.130

8.  Comparison of field and laboratory exposures of Lumbriculus variegatus to polychlorinated biphenyl-impacted river sediments.

Authors:  Barbara Beckingham; Upal Ghosh
Journal:  Environ Toxicol Chem       Date:  2010-10-15       Impact factor: 3.742

9.  The use of spatial modeling in an aquatic food web to estimate exposure and risk.

Authors:  Katherine von Stackelberg; Dmitriy Burmistrov; Igor Linkov; Jerome Cura; Todd S Bridges
Journal:  Sci Total Environ       Date:  2002-04-08       Impact factor: 7.963

10.  Food web bioaccumulation model for polychlorinated biphenyls in San Francisco Bay, California, USA.

Authors:  Frank A P C Gobas; Jon A Arnot
Journal:  Environ Toxicol Chem       Date:  2010-06       Impact factor: 3.742

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  1 in total

1.  Interlaboratory Comparison of Three Sediment Bioaccumulation Tests.

Authors:  Guilherme R Lotufo; James M Biedenbach; J Daniel Farrar; Michael K Chanov; Brian W Hester; C Ryan Warbritton; Jeffery A Steevens; Jenifer M Netchaev; Anthony J Bednar; David W Moore
Journal:  Environ Toxicol Chem       Date:  2022-03-29       Impact factor: 4.218

  1 in total

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