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Potentially mobile of heavy metals on the surface sediments in tropical hyper-saline and positive estuaries

Overview of attention for article published in Anais da Academia Brasileira de Ciências, December 2017
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Title
Potentially mobile of heavy metals on the surface sediments in tropical hyper-saline and positive estuaries
Published in
Anais da Academia Brasileira de Ciências, December 2017
DOI 10.1590/0001-3765201720170110
Pubmed ID
Authors

Carlos A Ramos E Silva, Estefan M DA Fonseca, Beatriz W Grotto, Flavo E S DE Souza, José A Baptista

Abstract

Estuarine sediments represent important pools of trace metals, released from both anthropogenic and natural sources. Fluctuations in the water column physicochemical conditions, on the other hand, may transfer metals from solid to liquid compartment and resulting in contamination of the surrounding environment. The present research was carried out to evaluate the weakly bounded heavy metal levels in tropical hyper-saline and positive estuaries, in order to quantify its potentially availability. The monitoring includes five metals (Cd, Cr, Cu, Pb, Zn) and cover nine estuaries in Rio Grande do Norte state/Brazil, including four hypersaline and five true estuaries. 50 surface sediment samples were collected in each estuary. At the same time, organic matter concentrations were evaluated in order to help explaining possible local variations in heavy metal levels. Organic matter results (0.7% - 7.3%) suggest the positive Potengi estuary as the most critical environmental quality situation. On the other hand, according to heavy metals levels, both Conchas and Potengi estuaries registered the higher concentrations of Cr. The highest concentrations were observed in the hyper-saline estuaries, with the exception of the Zn. The present study revealed that the watershed occupation has significantly influenced the heavy metal concentrations in the estuaries.

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Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 24%
Student > Bachelor 7 19%
Student > Doctoral Student 5 14%
Student > Master 5 14%
Other 3 8%
Other 2 5%
Unknown 6 16%
Readers by discipline Count As %
Chemistry 10 27%
Environmental Science 8 22%
Agricultural and Biological Sciences 8 22%
Earth and Planetary Sciences 4 11%
Computer Science 1 3%
Other 1 3%
Unknown 5 14%