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Journal ArticleDOI

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

TLDR
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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Journal ArticleDOI

Development and application of freshwater sediment-toxicity benchmarks for currently used pesticides.

TL;DR: Two types of freshwater sediment benchmarks for pesticides were developed using spiked-sediment bioassay (SSB) data from the literature, and Amphipod survival, weight, and biomass were significantly and inversely related to summed benchmark quotients, whereas midge survival and biomass showed no relationship to benchmarks.
Journal ArticleDOI

Evidence for unmonitored coal ash spills in Sutton Lake, North Carolina: Implications for contamination of lake ecosystems.

TL;DR: Findings highlight the risks of large-scale unmonitored spills of coal ash solids from storage facilities following major storm events and contamination of nearby water resources throughout the southeastern U.S.
Journal ArticleDOI

Characterization of heavy-metal-contaminated sediment by using unsupervised multivariate techniques and health risk assessment.

TL;DR: This study characterized the sediment quality of the severely contaminated Erjen River in Taiwan by using multivariate analysis methods-including factor analysis (FA), self-organizing maps (SOMs), and positive matrix factorization (PMF)-and health risk assessment and proposed assessment framework for heavy-metal-contaminated sediment can be applied to contaminated-sediment river sites in other regions.
Journal ArticleDOI

Toxicity of sediments potentially contaminated by coal mining and natural gas extraction to unionid mussels and commonly tested benthic invertebrates.

TL;DR: Results of the present study indicated that the findings from laboratory tests were generally consistent with the field observations of impacts on mussel populations; total recoverable metals, PAHs, or major ions, or all three in sediments might have contributed to the sediment toxicity.
OtherDOI

Concentrations of Polycyclic Aromatic Hydrocarbons (PAHs) and Major and Trace Elements in Simulated Rainfall Runoff From Parking Lots, Austin, Texas, 2003

TL;DR: In this paper, the U.S. Geological Survey, in cooperation with the City of Austin, sampled runoff and scrapings from four test plots and 13 urban parking lots in Austin, Texas, to investigate the possibility that polycyclic aromatic hydrocarbons from seal-coated parking lots might be transported to urban creeks.
References
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Journal ArticleDOI

Incidence of adverse biological effects within ranges of chemical concentrations in marine and estuarine sediments

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.
Journal ArticleDOI

Development and evaluation of consensus-based sediment quality guidelines for freshwater ecosystems.

TL;DR: It was concluded that the consensus-based SQGs provide a reliable basis for assessing sediment quality conditions in freshwater ecosystems.
Journal ArticleDOI

Predicting toxicity in marine sediments with numerical sediment quality guidelines

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.
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