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Potential ecological risk of heavy metals in sediments from the Mediterranean coast, Egypt

BACKGROUND AND AIM: Mediterranean Sea, Egypt is an economically important marine environment. During the last decades there has been extensive increase in the levels of urbanization and industrialization along its coastal area. Therefore, the present work attempts to determine the status of heavy me...

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Autores principales: Soliman, Naglaa Farag, Nasr, Samir Mahmoud, Okbah, Mohamed Abdelaziz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4600254/
https://www.ncbi.nlm.nih.gov/pubmed/26457189
http://dx.doi.org/10.1186/s40201-015-0223-x
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author Soliman, Naglaa Farag
Nasr, Samir Mahmoud
Okbah, Mohamed Abdelaziz
author_facet Soliman, Naglaa Farag
Nasr, Samir Mahmoud
Okbah, Mohamed Abdelaziz
author_sort Soliman, Naglaa Farag
collection PubMed
description BACKGROUND AND AIM: Mediterranean Sea, Egypt is an economically important marine environment. During the last decades there has been extensive increase in the levels of urbanization and industrialization along its coastal area. Therefore, the present work attempts to determine the status of heavy metals distribution in sediment samples, and their ecological risk assessment in the studied area. MATERIALS AND METHODS: Twenty surfacial sediment samples were collected from different selected stations along the Egyptian Mediterranean Sea. The samples were homogenized and placed into sealed polyethylene bags, carried to the laboratory in an ice box and stored at −20 °C in the dark until analysis. RESULTS: The results revealed that Fe had the highest mean value (243–38045 μgg(−1)) followed by Mn (17–1086 μgg(−1)), and a lower concentrations were found for Co (0.43–26.39 μgg(−1)) and Cd (0.04–0.47 μgg(−1)). Risk assessment showed that Cd had the highest ecological risk (Er = 21.52), followed by Pb (Er = 3.01), while Zn had the lowest risk (Er = 0.23). Both the ecotoxicological index method and the potential ecological risk index (RI) suggested that the combined ecological risk of the studied metals may be low. Multivariate statistical analysis (Cluster and Factor analysis) suggested that the lithogenic factor dominants the distribution of most part of the considered metals in the study area. CONCLUSION: Multivariate analysis has been proved to be an effective tool for providing suggestive information regarding heavy metal sources and pathways. The results of this study provide valuable information about metal contamination in sediments along the Mediterranean Sea for over than 1200 km.
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spelling pubmed-46002542015-10-11 Potential ecological risk of heavy metals in sediments from the Mediterranean coast, Egypt Soliman, Naglaa Farag Nasr, Samir Mahmoud Okbah, Mohamed Abdelaziz J Environ Health Sci Eng Research Article BACKGROUND AND AIM: Mediterranean Sea, Egypt is an economically important marine environment. During the last decades there has been extensive increase in the levels of urbanization and industrialization along its coastal area. Therefore, the present work attempts to determine the status of heavy metals distribution in sediment samples, and their ecological risk assessment in the studied area. MATERIALS AND METHODS: Twenty surfacial sediment samples were collected from different selected stations along the Egyptian Mediterranean Sea. The samples were homogenized and placed into sealed polyethylene bags, carried to the laboratory in an ice box and stored at −20 °C in the dark until analysis. RESULTS: The results revealed that Fe had the highest mean value (243–38045 μgg(−1)) followed by Mn (17–1086 μgg(−1)), and a lower concentrations were found for Co (0.43–26.39 μgg(−1)) and Cd (0.04–0.47 μgg(−1)). Risk assessment showed that Cd had the highest ecological risk (Er = 21.52), followed by Pb (Er = 3.01), while Zn had the lowest risk (Er = 0.23). Both the ecotoxicological index method and the potential ecological risk index (RI) suggested that the combined ecological risk of the studied metals may be low. Multivariate statistical analysis (Cluster and Factor analysis) suggested that the lithogenic factor dominants the distribution of most part of the considered metals in the study area. CONCLUSION: Multivariate analysis has been proved to be an effective tool for providing suggestive information regarding heavy metal sources and pathways. The results of this study provide valuable information about metal contamination in sediments along the Mediterranean Sea for over than 1200 km. BioMed Central 2015-10-10 /pmc/articles/PMC4600254/ /pubmed/26457189 http://dx.doi.org/10.1186/s40201-015-0223-x Text en © Soliman et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Soliman, Naglaa Farag
Nasr, Samir Mahmoud
Okbah, Mohamed Abdelaziz
Potential ecological risk of heavy metals in sediments from the Mediterranean coast, Egypt
title Potential ecological risk of heavy metals in sediments from the Mediterranean coast, Egypt
title_full Potential ecological risk of heavy metals in sediments from the Mediterranean coast, Egypt
title_fullStr Potential ecological risk of heavy metals in sediments from the Mediterranean coast, Egypt
title_full_unstemmed Potential ecological risk of heavy metals in sediments from the Mediterranean coast, Egypt
title_short Potential ecological risk of heavy metals in sediments from the Mediterranean coast, Egypt
title_sort potential ecological risk of heavy metals in sediments from the mediterranean coast, egypt
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4600254/
https://www.ncbi.nlm.nih.gov/pubmed/26457189
http://dx.doi.org/10.1186/s40201-015-0223-x
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