Literature DB >> 22009458

Distribution patterns of metals contamination in sediments based on type regional development on the intertidal coastal zones of the Persian Gulf, Iran.

Ali Kazemi1, Alireza Riyahi Bakhtiari, Nabiallah Kheirabadi, Hashm Barani, Behnam Haidari.   

Abstract

This study was performed to determine the variation of metals concentrations (Pb, Cd, Zn, and Cu) in surface sediments based on type region development from ten sites on the intertidal coastal zone of the Persian Gulf, Iran. The metals concentrations in surface sediments varied from 0.86 to 180.78 μg g(-1) for Pb, 0.61 to 6.48 μg g(-1) for Cd, 5.99 to 44.42 μg g(-1) for Zn, and 3.01 to 43.33 μg g(-1) for Cu. The quality of the sediments was evaluated based on sediment quality guidelines (effects range-low (ERL) and effects range-medium (ERM) indexes. Biological effects criteria suggest that metals concentrations in sediments were lower than ERM for all sites, but for some sites metals concentrations in sediments were higher than ERL. The present results support the concept that human activities in each region could be a major source of metals pollution input in the aquatic environment.

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Year:  2011        PMID: 22009458     DOI: 10.1007/s00128-011-0412-y

Source DB:  PubMed          Journal:  Bull Environ Contam Toxicol        ISSN: 0007-4861            Impact factor:   2.151


  3 in total

1.  An assessment of metal contamination risk in sediments of Hara Biosphere Reserve, southern Iran with a focus on application of pollution indicators.

Authors:  Iman Zarei; Alireza Pourkhabbaz; Reza Bashiri Khuzestani
Journal:  Environ Monit Assess       Date:  2014-05-27       Impact factor: 2.513

2.  Trace and Major Elements Concentration in Fish and Associated Sediment-Seawater, Northern Shores of the Persian Gulf.

Authors:  Mehdi Bibak; Masoud Sattari; Saeid Tahmasebi; Raheleh Kafaei; George A Sorial; Bahman Ramavandi
Journal:  Biol Trace Elem Res       Date:  2020-09-07       Impact factor: 3.738

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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