Literature DB >> 11385586

Predictions of sediment toxicity using consensus-based freshwater sediment quality guidelines.

C G Ingersoll1, D D MacDonald, N Wang, J L Crane, L J Field, P S Haverland, N E Kemble, R A Lindskoog, C Severn, D E Smorong.   

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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Year:  2001        PMID: 11385586     DOI: 10.1007/s002440010216

Source DB:  PubMed          Journal:  Arch Environ Contam Toxicol        ISSN: 0090-4341            Impact factor:   2.804


  21 in total

1.  Applications of numerical sediment quality targets for assessing sediment quality conditions in a US Great Lakes Area of Concern.

Authors:  Judy L Crane; Donald D MacDonald
Journal:  Environ Manage       Date:  2003-07       Impact factor: 3.266

2.  Distribution characteristics and toxicity assessment of heavy metals in the sediments of Lake Chaohu, China.

Authors:  Hongbin Yin; Jiancai Deng; Shiguang Shao; Feng Gao; Junfeng Gao; Chengxin Fan
Journal:  Environ Monit Assess       Date:  2010-10-27       Impact factor: 2.513

3.  Using the Sediment Quality Triad to characterize baseline conditions in the Anacostia River, Washington, DC, USA.

Authors:  Beth L McGee; Alfred E Pinkney; David J Velinsky; Jeffrey T F Ashley; Daniel J Fisher; Leonard C Ferrington; Teresa J Norberg-King
Journal:  Environ Monit Assess       Date:  2008-08-02       Impact factor: 2.513

4.  Anthropogenic pollution and variability of manganese in alluvial sediments of the Yellow River, Ningxia, northwest China.

Authors:  Peiyue Li; Hui Qian; Ken W F Howard; Jianhua Wu; Xinsheng Lyu
Journal:  Environ Monit Assess       Date:  2014-03       Impact factor: 2.513

5.  Spatial distribution and toxicity assessment of heavy metals in sediments of Liaohe River, northeast China.

Authors:  Yan He; Wei Meng; Jian Xu; Yuan Zhang; Sisi Liu; Changsheng Guo
Journal:  Environ Sci Pollut Res Int       Date:  2015-05-23       Impact factor: 4.223

6.  Fraction distribution and risk assessment of heavy metals and trace elements in sediments of Lake Uluabat.

Authors:  Aslıhan Katip; Feza Karaer; Hüseyin Savaş Başkaya; Saadet Ileri; Sonay Sarmaşik
Journal:  Environ Monit Assess       Date:  2011-09-14       Impact factor: 2.513

7.  Effects of historical lead-zinc mining on riffle-dwelling benthic fish and crayfish in the Big River of southeastern Missouri, USA.

Authors:  A L Allert; R J DiStefano; J F Fairchild; C J Schmitt; M J McKee; J A Girondo; W G Brumbaugh; T W May
Journal:  Ecotoxicology       Date:  2013-02-23       Impact factor: 2.823

8.  Polycyclic aromatic hydrocarbons (PAHs) in surface sediments near a mining site in Okobo-Enjema, Nigeria: concentrations, source apportionment and risk assessment.

Authors:  Kenechukwu E Ugwu; Pius O Ukoha
Journal:  Environ Geochem Health       Date:  2017-02-09       Impact factor: 4.609

9.  Contamination and ecological risk assessment of toxic trace elements in the Xi River, an urban river of Shenyang city, China.

Authors:  Chunye Lin; Mengchang He; Xitao Liu; Wei Guo; Shaoqing Liu
Journal:  Environ Monit Assess       Date:  2012-09-13       Impact factor: 2.513

10.  Spatial distribution and potential ecologic risk assessment of heavy metals in the sediments of the Nansi Lake in China.

Authors:  Xuezhi Cao; Yan Shao; Wenjing Deng; Hui Wang; Shiliang Wang
Journal:  Environ Monit Assess       Date:  2014-09-21       Impact factor: 2.513

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