Literature DB >> 25457811

Metal contamination of estuarine intertidal sediments of Moreton Bay, Australia.

Guia Morelli1, Massimo Gasparon2.   

Abstract

Trace element concentrations in surface intertidal sediments were analyzed to assess the level of contamination along the western side of Moreton Bay (Australia). The environmental risks posed by metals were evaluated using sediment quality guidelines, the Risk Assessment Code (RAC) and enrichment relative to background levels. Chromium, Ni, and Cu are the main contributors to sediment pollution. Sediments are also enriched in Zn, Cd and Pb by 1.5-3 times the regional background. Zinc, Cd and Co may pose high to very high risk to the aquatic biota due to their potential bioavailability, while Ni, As, Cu, Pb and Cr may pose medium risk at some of the investigated sites. Results emphasize the importance of using different methods for the assessment of sediment pollution at an estuarine site.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Estuaries; Exchangeable metals fraction; Heavy metals contamination; Moreton Bay; Surficial sediments

Mesh:

Substances:

Year:  2014        PMID: 25457811     DOI: 10.1016/j.marpolbul.2014.10.002

Source DB:  PubMed          Journal:  Mar Pollut Bull        ISSN: 0025-326X            Impact factor:   5.553


  3 in total

1.  Spatial distribution and pollution assessment of metals in intertidal sediments, Korea.

Authors:  Dong-Woon Hwang; Pyoung-Joong Kim; Seong-Gil Kim; Chul-In Sun; Byoung-Seol Koh; Sang-Ok Ryu; Tae-Hoon Kim
Journal:  Environ Sci Pollut Res Int       Date:  2019-05-09       Impact factor: 4.223

2.  Source Evaluation and Trace Metal Contamination in Benthic Sediments from Equatorial Ecosystems Using Multivariate Statistical Techniques.

Authors:  Nsikak U Benson; Francis E Asuquo; Akan B Williams; Joseph P Essien; Cyril I Ekong; Otobong Akpabio; Abaas A Olajire
Journal:  PLoS One       Date:  2016-06-03       Impact factor: 3.240

3.  A new method for assessment of sediment-associated contamination risks using multivariate statistical approach.

Authors:  Nsikak U Benson; Adebusayo E Adedapo; Omowunmi H Fred-Ahmadu; Akan B Williams; Essien D Udosen; Olusegun O Ayejuyo; Abass A Olajire
Journal:  MethodsX       Date:  2018-03-30
  3 in total

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