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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 Probable Effect Concentration Quotient values indicated that metals in the sediments of Scoat Tarn, Agden Reservoir and Llyn Llagi were likely to be responsible for the laboratory toxicity found in these lakes, with PAHs also contributing in Agden reservoir.

50 citations

Journal ArticleDOI
TL;DR: Kemble et al. as discussed by the authors measured organic contaminants and trace elements in bed sediments collected from streams in seven metropolitan study areas across the United States to assess concentrations in relation to urbanization.
Abstract: Organic contaminants and trace elements were measured in bed sediments collected from streams in seven metropolitan study areas across the United States to assess concentrations in relation to urbanization. Polycyclic aromatic hydrocarbons, polychlorinated biphenyls, organochlorine pesticides, the pyrethroid insecticide bifenthrin, and several trace elements were significantly related to urbanization across study areas. Most contaminants (except bifenthrin, chromium, nickel) were significantly related to the total organic carbon (TOC) content of the sediments. Regression models explained 45–80 % of the variability in individual contaminant concentrations using degree of urbanization, sediment-TOC, and study-area indicator variables (which represent the combined influence of unknown factors, such as chemical use or release, that are not captured by available explanatory variables). The significance of one or more study-area indicator variables in all models indicates marked differences in contaminant levels among some study areas, even after accounting for the nationally modeled effects of urbanization and sediment-TOC. Mean probable effect concentration quotients (PECQs) were significantly related to urbanization. Trace elements were the major contributors to mean PECQs at undeveloped sites, whereas organic contaminants, especially bifenthrin, were the major contributors at highly urban sites. Pyrethroids, where detected, accounted for the largest share of the mean PECQ. Part 2 of this series (Kemble et al. 2012) evaluates sediment toxicity to amphipods and midge in relation to sediment chemistry.

49 citations

01 Jan 2013
TL;DR: The significance of one or more study-area indicator variables in all models indicates marked differences in contaminant levels among some study areas, even after accounting for the nationally modeled effects of urbanization and sediment-TOC.
Abstract: Organic contaminants and trace elements were measured in bed sediments collected from streams in seven metropolitan study areas across the United States to assess concentrations in relation to urbanization. Polycyclic aro- matic hydrocarbons, polychlorinated biphenyls, organo- chlorine pesticides, the pyrethroid insecticide bifenthrin, and several trace elements were significantly related to urbanization across study areas. Most contaminants (except bifenthrin, chromium, nickel) were significantly related to the total organic carbon (TOC) content of the sediments. Regression models explained 45-80 % of the variability in individual contaminant concentrations using degree of urbanization, sediment-TOC, and study-area indicator variables (which represent the combined influence of unknown factors, such as chemical use or release, that are not captured by available explanatory variables). The sig- nificance of one or more study-area indicator variables in all models indicates marked differences in contaminant levels among some study areas, even after accounting for the nationally modeled effects of urbanization and sedi- ment-TOC. Mean probable effect concentration quotients (PECQs) were significantly related to urbanization. Trace elements were the major contributors to mean PECQs at undeveloped sites, whereas organic contaminants, espe- cially bifenthrin, were the major contributors at highly urban sites. Pyrethroids, where detected, accounted for the largest share of the mean PECQ. Part 2 of this series (Kemble et al. 2012) evaluates sediment toxicity to am- phipods and midge in relation to sediment chemistry.

48 citations


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

  • ...In all three cases, pyrethroid nondetections were assumed equal to zero because pyrethroid reporting levels were not far below their toxicity thresholds, whereas other contaminant nondetections were assumed to be half of the reporting level per the original PECQ methodology (Ingersoll et al. 2001)....

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  • ...The overall mean PECQ-5B, mean PECQ-5M, and mean PECQ-5P were each compared with the toxicity threshold of 0.1 to assess the likelihood that a sediment sample mixture would be toxic to sediment-dwelling organisms (Ingersoll et al. 2001; Kemble et al. 2012)....

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  • ...…associations of PECQ values with sediment toxicity occurring in field samples from past data sets, a high likelihood of toxicity is predicted for samples with PECQ values [1 for individual contaminants or an overall mean PECQ value [0.1 for sample mixtures (Ingersoll et al. 2001, 2005, 2009)....

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  • ...1 to assess the likelihood that a sediment sample mixture would be toxic to sediment-dwelling organisms (Ingersoll et al. 2001; Kemble et al. 2012)....

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Journal ArticleDOI
TL;DR: The distribution of individual PAH in reservoir cores and HSS was consistent and the results of the principal component analysis and isomeric ratios suggest mainly pyrolytic inputs, from either vegetation burning and coal combustion.

48 citations

Journal ArticleDOI
TL;DR: In this article, the impact of boat activities on harbour sediment quality in the Stockholm area was assessed by using sediment bioassays in combination with chemical analysis to determine the impact on the ecosystem.
Abstract: The main objective of the current study was to assess the impact of pleasure boat activities on harbour sediment quality in the Stockholm area. Sediment contamination is a growing ecological issue, and there is consequently a need to use sediment bioassays in combination with chemical analysis to determine the impact on the ecosystem. To generate sediment toxicity data relevant for the Baltic Sea, a secondary objective was to further develop and evaluate two well-established bioassays for saltwater, with the macroalga Ceramium tenuicorne and the crustacean Nitocra spinipes, to be useful also for toxicity testing of whole sediment. A major concern has been to minimize any manipulation of the sediments. A third objective was to assess whether a simple leaching procedure could be used to simulate sediment toxicity by comparing results from whole sediment and leachate tests. Surface sediments (0–2 cm) from five different types of pleasure boat harbours were collected. Chemical measurements of boat related compounds, i.e. tin organic substances (tributyltin (TBT), dibutyl tin, and monobutyl tin), polyaromatic hydrocarbons (PAHs), copper, zinc, lead, tin and irgarol were conducted. The sediments were tested for toxic effects using the established Microtox® test as well as the developed sediment tests with C. tenuicorne and N. spinipes. The endpoints are growth inhibition for the algal test and for the crustacean test mortality of larvae and rate of development expressed as the ratio between nauplia and copepodites. Two different procedures have been compared with both organisms, i.e. exposure to whole sediment and to leachate. The duration of both tests is around 1 week. All harbour locations were more or less heavily contaminated with remnants from use of anti-fouling paints. The sediment in a smaller marina (ca. 250 boats) contained the highest levels of TBT (max 1,400 µg/kg dry weight (dw)), whereas the centre of Stockholm City had the highest concentrations of all measured metals (max values Cu 252, Pb 830, Sn 25 and Zn 600 µg/kg dw) as well as high concentrations of total PAH (18 mg/kg dw). All three organisms were well suited to test the toxicity of contaminated sediments and were able to discriminate between more or less polluted sediments. The sediments in the smaller marina were most toxic along with sediments adjacent to slipways and sediments from the centre of Stockholm. No significant difference was found between the two different procedures for the algal tests. The whole sediment test was significantly more toxic to N. spinipes than the test using leachate. Our results show that in spite of prohibition for many years to use tin organic substances and copper, boat activities still contribute with high concentrations of these toxic substances from anti-fouling paints in the surface sediment and that these have effects on organisms normally living in this environment. The present study has also demonstrated an expansion of two well-established toxicity tests for the water phase to be practical also for sediment toxicity testing. This will further increase the usefulness of these test organisms and methods for hazard and risk assessment in a wide range of environments.

47 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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