Literature DB >> 23233343

An integrated assessment of sediment remediation in a midwestern U.S. stream using sediment chemistry, water quality, bioassessment, and fish biomarkers.

John R Meier1, Steve Snyder, Victoria Sigler, Dave Altfater, Mike Gray, Bill Batin, Paul Baumann, Denise Gordon, Paul Wernsing, Jim Lazorchak.   

Abstract

A comprehensive biological, sediment, and water quality study of the lower Little Scioto River near Marion, Ohio, USA, was undertaken to evaluate the changes or improvements in biotic measurements following the removal of creosote-contaminated sediment. The study area covered 7.5 river miles (RMs), including a remediated section between RMs 6.0 and 6.8. Fish and macroinvertebrate assemblages, fish biomarkers (i.e., polycyclic aromatic hydrocarbon [PAH] metabolite levels in white sucker [Castostomus commersoni] and common carp [Cyprinus carpio] bile and DNA damage), sediment chemistry, and water quality were assessed at five locations relative to the primary source of historical PAH contamination-upstream (RM 9.2), adjacent (RM 6.5), and downstream (RMs 5.7, 4.4, and 2.7). Overall, the biomarker results were consistent with the sediment PAH results, showing a pattern of low levels of PAH bile metabolites and DNA damage at the upstream (reference or background location), as well as the remediated section, high levels at the two immediate downstream sites, and somewhat lower levels at the furthest downstream site. Results show that remediation was effective in reducing sediment contaminant concentrations and exposure of fish to PAHs and in improving fish assemblages (60% increase in index of biotic integrity scores) in remediated river sections. Additional remedial investigation and potentially further remediation is needed to improve the downstream benthic fish community, which is still heavily exposed to PAH contaminants.
Copyright © 2013 SETAC.

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Year:  2013        PMID: 23233343     DOI: 10.1002/etc.2093

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   3.742


  2 in total

1.  Derivation of water quality criteria of phenanthrene using interspecies correlation estimation models for aquatic life in China.

Authors:  Jiangyue Wu; Zhengtao Liu; Zhenguang Yan; Xianliang Yi
Journal:  Environ Sci Pollut Res Int       Date:  2015-01-23       Impact factor: 4.223

2.  Use of Interspecies Correlation Estimation (ICE) Models to Derive Water Quality Criteria of Microplastics for Protecting Aquatic Organisms.

Authors:  Jiangyue Wu; Xiaohui Zhao; Lin Gao; Yan Li; Dan Wang
Journal:  Int J Environ Res Public Health       Date:  2022-08-19       Impact factor: 4.614

  2 in total

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