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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

Metal Mixtures Modeling Evaluation project: 1. Background

TL;DR: It is concluded that although qualitative terminology such as additive and nonadditive toxicity can be useful to convey general concepts, failure to expand beyond that limited perspective could impede progress in understanding and predicting metal mixture toxicity.
Journal ArticleDOI

The chemical response of particle-associated contaminants in aquatic sediments to urbanization in New England, U.S.A.

TL;DR: The magnitude of urban contamination of aquatic systems and air sheds is demonstrated, and it is suggested that, despite reductions in contaminant emissions in urban settings, streams and lakes will decline in quality as urbanization of their watersheds takes place.
Journal ArticleDOI

Metal pollution in surface sediments of Abu-Qir Bay and Eastern Harbour of Alexandria, Egypt

TL;DR: In this paper, the adverse effects on aquatic organisms were determined by classifying the sediments according to sediment quality guidelines, and the assessment of pollution was performed using several pollution indices, which revealed anthropogenic sources for Sn and Cd in Abu-Qir Bay and the Eastern Harbour of Alexandria.
Journal ArticleDOI

A review of chemical-based sediment quality assessment methodologies for the marine environment.

TL;DR: This review of 19 chemical approaches used in assessing sediment quality are classified into empirical, mechanistic and sediment quality indices (SQI) groups, which show a considerable range in upper and lower guideline values.
Journal ArticleDOI

Toxicities and risk assessment of heavy metals in sediments of Taihu Lake, China, based on sediment quality guidelines.

TL;DR: Ecological risk assessment showed that the contaminations of Pb, Cu, Cd and Zn in the sediments of Taihu Lake were at relatively low or medium levels, and the predictive ability of SQGs was confirmed by a total predicting accuracy of 77%.
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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