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Journal ArticleDOI

Predictions of Sediment Toxicity Using Consensus-Based Freshwater Sediment Quality Guidelines

TL;DR: Analytical results indicate that the consensus-based PECs can be used to reliably predict toxicity of sediments on both a regional and national basis and that the different patterns in toxicity may be the result of unique chemical signals associated with individual contaminants in samples.
Abstract: The objectives of this study were to compare approaches for evaluating the combined effects of chemical mixtures on the toxicity in field-collected sediments and to evaluate the ability of consensus-based probable effect concentrations (PECs) to predict toxicity in a freshwater database on both a national and regional geographic basis. A database was developed from 92 published reports, which included a total of 1,657 samples with high-quality matching sediment toxicity and chemistry data from across North America. The database was comprised primarily of 10- to 14-day or 28- to 42-day toxicity tests with the amphipod Hyalella azteca (designated as the HA10 or HA28 tests) and 10- to 14-day toxicity tests with the midges Chironomus tentans or C. riparius (designated as the CS10 test). Mean PEC quotients were calculated to provide an overall measure of chemical contamination and to support an evaluation of the combined effects of multiple contaminants in sediments. There was an overall increase in the incidence of toxicity with an increase in the mean quotients in all three tests. A consistent increase in the toxicity in all three tests occurred at a mean quotient > 0.5, however, the overall incidence of toxicity was greater in the HA28 test compared to the short-term tests. The longer-term tests, in which survival and growth are measured, tend to be more sensitive than the shorter-term tests, with acute to chronic ratios on the order of six indicated for H. azteca. Different patterns were observed among the various procedures used to calculate mean quotients. For example, in the HA28 test, a relatively abrupt increase in toxicity was associated with elevated polychlorinated biphenyls (PCBs) alone or with elevated polycyclic aromatic hydrocarbons (PAHs) alone, compared to the pattern of a gradual increase in toxicity observed with quotients calculated using a combination of metals, PAHs, and PCBs. These analyses indicate that the different patterns in toxicity may be the result of unique chemical signals associated with individual contaminants in samples. Though mean quotients can be used to classify samples as toxic or nontoxic, individual quotients might be useful in helping identify substances that may be causing or substantially contributing to the observed toxicity. An increase in the incidence of toxicity was observed with increasing mean quotients within most of the regions, basins, and areas in North America for all three toxicity tests. The results of these analyses indicate that the consensus-based PECs can be used to reliably predict toxicity of sediments on both a regional and national basis.

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Citations
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Journal ArticleDOI
TL;DR: The results demonstrate that the PEC-Q approach can be used in combination with PC-based and unique mixture analyses to relate potential aquatic toxicity of contaminant mixtures to mixture complexity, land use, and other surrogates for contaminant sources.

19 citations


Cites background or methods from "Predictions of Sediment Toxicity Us..."

  • ...This 0.5 threshold was used in the present study as an indicator of likely toxicity despite the different contaminants incorporated in our mean PEC-Q (PCBs, DDE, chlordane, and dieldrin) because other studies have confirmed an increased incidence of toxicity at mean PEC-Q values greater than 0.5 for various combinations of metals, PAHs, and PCBs (Ingersoll et al., 2001) and for organochlorine pesticides (DDE, chlordane, dieldrin) alone and in combination with metals, PAHs, and PCBs (Tao et al., submitted for publication)....

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  • ...The authors conducted validation tests of the mean PEC-Qmethod, in which mean PEC-Q values greater than 0.5 were associated with a high incidence of toxicity (MacDonald et al., 2000; Ingersoll et al., 2001)....

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  • ...Complex mixtures (containing compounds from 3 or more PCs) were most common in samples from urban and mixed/urban sites, especially in the Northeast, reflecting high concentrations ofmultiple chlordane, dieldrin, DDT-related compounds, and(or) PCBs. Themost commonly occurring unique mixture…...

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  • ...Further details on sediment sampling andanalysis are given in the online Supplementary material, Appendix B....

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  • ...In a variation of the method, Ingersoll et al. (2001) computed a mean PEC-Q that equally weights the contribution of the major classes of contaminants being studied (metals, PCBs, and PAHs), by first computing the PEC-Q (or mean PEC-Q) for each class, then averaging the three quotients....

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Journal ArticleDOI
TL;DR: In this article, the authors used profile correlations, principal component analysis, positive matrix factorization source-receptor modeling, and mass fractions analysis to identify potential polycyclic aromatic hydrocarbons (PAHs) sources.
Abstract: Polycyclic aromatic hydrocarbons (PAHs) are among the most widespread and potentially toxic contaminants in Great Lakes (USA/Canada) tributaries. The sources of PAHs are numerous and diverse, and identifying the primary source(s) can be difficult. The present study used multiple lines of evidence to determine the likely sources of PAHs to surficial streambed sediments at 71 locations across 26 Great Lakes Basin watersheds. Profile correlations, principal component analysis, positive matrix factorization source-receptor modeling, and mass fractions analysis were used to identify potential PAH sources, and land-use analysis was used to relate streambed sediment PAH concentrations to different land uses. Based on the common conclusion of these analyses, coal-tar-sealed pavement was the most likely source of PAHs to the majority of the locations sampled. The potential PAH-related toxicity of streambed sediments to aquatic organisms was assessed by comparison of concentrations with sediment quality guidelines. The sum concentration of 16 US Environmental Protection Agency priority pollutant PAHs was 7.4-196 000 µg/kg, and the median was 2600 µg/kg. The threshold effect concentration was exceeded at 62% of sampling locations, and the probable effect concentration or the equilibrium partitioning sediment benchmark was exceeded at 41% of sampling locations. These results have important implications for watershed managers tasked with protecting and remediating aquatic habitats in the Great Lakes Basin. Environ Toxicol Chem 2020;39:1392-1408. © 2020 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.

19 citations

01 Jan 2003
TL;DR: In this article, the use of heavy metals and sediment toxicity tests (mortality of amphipods, Ampelisca brevicornis, of clams, Scrobicularia plana, and of fish, Solea senegalensis) were used to derive sediment quality guidelines (SQGs).
Abstract: Concentrations of heavy metals (Fe, Zn, Cd, Pb, Cu and Mn) and sediment toxicity tests (mortality of amphipods, Ampelisca brevicornis, of clams, Scrobicularia plana, and of fish, Solea senegalensis) were used to derive sediment quality guidelines (SQGs). The approaches are based on the determination of LC50, on the application of a multivariate analysis (MAA), and on the Threshold Effect Level Quotients (TELQs). All approaches lead to consistent SQGs. The range of concentrations established with MAA results in narrower uncertainty ranges. Sediment toxicity estimated by TELQs is in good agreement with that determined experimentally. In terms of the toxic mud concentration, the maximum and minimum LC50s (for fish EC50s) are 1.07% and 0.44% for amphipods, 5.75% and 1.25% for clams, and 7.24% and 1.97% for fish, based on dry weight. However, heavy metal concentrations or ranges should be used only as a first tier in a “weight-of-evidence” approach to determine the environmental quality in aquatic systems. The use of SQGs for the management of these systems should be taken with care, especially those used for the management of dredging processes.

18 citations

Journal ArticleDOI
TL;DR: In this paper , a modified ecological risk assessment method (NIRI) and a biological toxicity assessment method were applied to identify the potential sources of heavy metal contamination of river water and sediments.

18 citations

Journal ArticleDOI
TL;DR: The correlation analysis and PCA results showed that trace elements that originated from similar sources were associated to the toxicity of sediments towards T. platyurus, while ecotoxicity for plants could not be explained by the content of trace elements in bottom sediments.
Abstract: The bottom sediments in catchment areas behind dams play a significant role in water ecosystems. On the other hand, the structure of sediments makes them a natural geosorbent, in which pollutants introduced to the aquatic environment accumulate. The use of biotests is recognised as an important approach for the assessment of the quality of bottom sediments, as the chemical analysis of sediment samples alone does not provide evidence of the impact of contaminants on biota. The aim of the study was to apply the chemical and ecological indices to determine the potential risk posed by trace elements in the bottom sediments and to evaluate sediment toxicity using organisms belonging to two taxonomic groups, i.e., plants (Phytotoxkit) and crustaceans (Rapidtoxkit). The 46 sediment samples were taken from the Roznow Dam Reservoir in Southern Poland. The mean concentration of the trace elements in the sediments was 5.22 mg As; 0.26 mg Cd; 63.23 mg Cr; 28.65 mg Cu; 37.11 mg Ni; 11.15 mg Pb; 69.69 mg Zn and 0.09 mg Hg ∙ kg−1 d.m. The mean probable effect concentration quotient (PECq) value among different sampling sites ranged between 0.04 and 0.33 suggested moderate potential toxicity to the biological communities in bottom sediments. The Ni was potentially the most toxic element for biota in the Roznow Reservoir. The sensitivity of organisms formed the following order: Thamnocephalus platyurus >Lepidium sativum >Sinapis alba >Sorghum saccharatum. For the plants, the stimulating effect of bottom sediments on root growth was often indicated, while a toxic effect was demonstrated for T. platyurus in 80% of the samples. However, the correlation analysis and PCA results showed that trace elements that originated from similar sources were associated to the toxicity of sediments towards T. platyurus, while ecotoxicity for plants could not be explained by the content of trace elements in bottom sediments. T. platyurus is a good indicator for predicting the toxicity of bottom sediments from the Roznow Reservoir. However, our study found that both chemical and ecotoxicological analyses are important for a comprehensive evaluation of the quality of bottom sediments.

18 citations

References
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Journal ArticleDOI
TL;DR: In this article, matching biological and chemical data were compiled from numerous modeling, laboratory, and field studies performed in marine and estuarine sediments, and two guideline values (an effects range low and an effects range median) were determined for nine trace metals, total PCBs, two pesticides, 13 polynuclear aromatic hydrocarbons (PAHs), and three classes of PAHs.
Abstract: Matching biological and chemical data were compiled from numerous modeling, laboratory, and field studies performed in marine and estuarine sediments. Using these data, two guideline values (an effects range-low and an effects range-median) were determined for nine trace metals, total PCBs, two pesticides, 13 polynuclear aromatic hydrocarbons (PAHs), and three classes of PAHs. The two values defined concentration ranges that were: (1) rarely, (2) occasionally, or (3) frequently associated with adverse effects. The values generally agreed within a factor of 3 or less with those developed with the same methods applied to other data and to those developed with other effects-based methods. The incidence of adverse effects was quantified within each of the three concentration ranges as the number of cases in which effects were observed divided by the total number of observations. The incidence of effects increased markedly with increasing concentrations of all of the individual PAHs, the three classes of PAHs, and most of the trace metals. Relatively poor relationships were observed between the incidence of effects and the concentrations of mercury, nickel, total PCB, total DDT and p,p′-DDE. Based upon this evaluation, the approach provided reliable guidelines for use in sediment quality assessments. This method is being used as a basis for developing National sediment quality guidelines for Canada and informal, sediment quality guidelines for Florida.

3,869 citations


"Predictions of Sediment Toxicity Us..." refers background in this paper

  • ...…concentrations because previous studies have demonstrated that normalization of SQGs for PAHs or PCBs to total organic carbon (Barrick et al. 1988, Long et al. 1995, Ingersoll et al. 1996) or normalization of metals to acidvolatile sulfides (Long et al. 1998b) did not improve the predictions of…...

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  • ...Similarly, Long et al. (1998a) reported a 56 to 71% incidence of toxicity at mean quotients of >1....

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Journal ArticleDOI
TL;DR: It was concluded that the consensus-based SQGs provide a reliable basis for assessing sediment quality conditions in freshwater ecosystems.
Abstract: Numerical sediment quality guidelines (SQGs) for freshwater ecosystems have previously been developed using a variety of approaches. Each approach has certain advantages and limitations which influence their application in the sediment quality assessment process. In an effort to focus on the agreement among these various published SQGs, consensus-based SQGs were developed for 28 chemicals of concern in freshwater sediments (i.e., metals, polycyclic aromatic hydrocarbons, polychlorinated biphenyls, and pesticides). For each contaminant of concern, two SQGs were developed from the published SQGs, including a threshold effect concentration (TEC) and a probable effect concentration (PEC). The resultant SQGs for each chemical were evaluated for reliability using matching sediment chemistry and toxicity data from field studies conducted throughout the United States. The results of this evaluation indicated that most of the TECs (i.e., 21 of 28) provide an accurate basis for predicting the absence of sediment toxicity. Similarly, most of the PECs (i.e., 16 of 28) provide an accurate basis for predicting sediment toxicity. Mean PEC quotients were calculated to evaluate the combined effects of multiple contaminants in sediment. Results of the evaluation indicate that the incidence of toxicity is highly correlated to the mean PEC quotient (R(2) = 0.98 for 347 samples). It was concluded that the consensus-based SQGs provide a reliable basis for assessing sediment quality conditions in freshwater ecosystems.

2,732 citations


"Predictions of Sediment Toxicity Us..." refers background or methods or result in this paper

  • ...The TECs were calculated by determining the geometric mean of the SQGs that were included in this category (MacDonald et al. 2000a)....

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  • ...…results of these three previous investigations demonstrated that the consensus-based SQGs provide a unifying synthesis of the existing guidelines, reflect causal rather than correlative effects, and account for the effects of contaminant mixtures in sediment (Swartz 1999, MacDonald et al. 2000a,b)....

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  • ...A second paper developed and evaluated consensus-based SQGs for total polychlorinated biphenyls (PCBs) to address a similar mixture paradox for that group of contaminants (MacDonald et al. 2000b)....

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  • ...The consensus-based PECs listed in Table 1 were critically evaluated by MacDonald et al. (2000a) to determine if they would provide effective tools for assessing sediment quality conditions in freshwater ecosystems....

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  • ...Therefore, the differences in this “MPP approach” from the approach used by MacDonald et al. (2000a) are: (1) an average quotient for metals was used instead of the individual quotients for metals and (2) sum DDE was not used in the calculation....

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Journal ArticleDOI
TL;DR: The ERhls and PELs indicated high predictive ability in samples in which many substances exceeded these concentrations, and the incidence of toxicity increased with increases in concentntions of mixtures of chemicals normalized to the SQGs.
Abstract: .-Mat~hing'syno~tically collected chemical and laboratory bioassay data (n = 1.068) were compiled from analyses of surficial sediment samples collecred during 1990 to 1993 to evaluate the predictive ability of sediment quality guidelines (SQGs). specifically, effects range-low (ERL). effects range-median (ERM). threshold effects level (TELL and probable eifects level (PEL) values. Dam were acquired from surveys of sediment quality periomed in estuaries along the Atlantic. Pacific. and Gulf of hlexico coasts. Samples were classified as either nontoxic (p > 0.05 re!ative to controls). marginally toxic @ < 0.05 only). or highly toxic @ < 0.05 and response greater than minimum significant difference :elalive to controls). This analysis indic-red that. when nor exceeded. [he ERLs and TELs were highly predictive of nontoxicity. The percenrages of samples that were highly toxic generally increased with increasing numbers of guidelines (panicularly the EX.\.ls and PELS) that were exceeded. Also. the incidence of toxicity increased with increases in concentntions of mixtures of chemicals normalized to (divided by) the SQGs. The ERhls and PELs indicated high predictive ability in samples in which many substances exceeded these concentrations. Suggestions are provided on the uses of these estimates of the predictive ability oi sediment ~uidelines.

771 citations


"Predictions of Sediment Toxicity Us..." refers background or methods or result in this paper

  • ...Alternatively, Long et al. (1998a) classified sediments in a marine amphipod database as either marginally toxic (significantly reduced relative to the control) or as highly toxic (significantly reduced relative to the control with a reduction greater than a minimum significant difference; MSD)....

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  • ...Long et al. (1998a) and Field et al. (1999) reported reduced variability in the relationship between toxicity and sediment contamination when toxicity was evaluated using a standardized approach....

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  • ...The incidence of toxicity was only 12% at mean quotients of <0.1 (quotients calculated using either marine effect range median (ERM) or probable effect level (PEL) guidelines; Long et al. 1998a)....

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  • ...Long et al. (1998a) also observed an elevated incidence of toxicity with marine amphipods at low mean quotients....

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  • ...For this reason, the evaluation of the predictive ability of the SQGs in the present study was conducted to determine the incidence of effects above and below various mean PEC quotients (mean quotients of 0.1, 0.5, 1.0, and 5.0; Ingersoll et al. 1998, Long et al. 1998a, Fairey et al. 2000)....

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01 Mar 1990

657 citations


"Predictions of Sediment Toxicity Us..." refers background or methods in this paper

  • ...Alternatively, Long et al. (1998a) classified sediments in a marine amphipod database as either marginally toxic (significantly reduced relative to the control) or as highly toxic (significantly reduced relative to the control with a reduction greater than a minimum significant difference; MSD). The MSD was established by Long et al. (1998a) using a power analysis of data from 10-day marine amphipod tests (Thursby et al....

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  • ...Alternatively, Long et al. (1998a) classified sediments in a marine amphipod database as either marginally toxic (significantly reduced relative to the control) or as highly toxic (significantly reduced relative to the control with a reduction greater than a minimum significant difference; MSD)....

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