2019
DOI: 10.1007/s10661-019-7626-6
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Carbon influence on metal distribution in sediment of Amazonian macrotidal estuaries of northeastern Brazil

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Cited by 8 publications
(13 citation statements)
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“…Such differences may be due to the sampling year, sampling stations, and/or the methodologies used. The metal concentrations found for sediments from the Tarumã-Açu stream were much lower than those reported in all the studies cited above [44][45][46][47].…”
Section: Discussioncontrasting
confidence: 68%
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“…Such differences may be due to the sampling year, sampling stations, and/or the methodologies used. The metal concentrations found for sediments from the Tarumã-Açu stream were much lower than those reported in all the studies cited above [44][45][46][47].…”
Section: Discussioncontrasting
confidence: 68%
“…Compared with the polluted and eutrophic Rodrigo de Freitas Lagoon [46], the Mindu and Quarenta streams presented slightly lower concentrations for most metals. Only the metals Mn and Pb were found in much lower concentrations herein compared to all of the systems cited [23,[44][45][46]. The Quarenta and Mindu streams also presented slightly lower concentrations for most metals than those reported for the Xingu and Fresco rivers [22] and the Furo da Laura estuary [24], which are Amazonian waterbodies located in the Pará state.…”
Section: Discussionmentioning
confidence: 49%
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“…The Anil River Estuary (ARE) is located in a largely urban area (65.2% of the sub-basin) and has a population of 250 thousand residents along its drainage basin, of the metropolitan region of São Luís, capital of the state of Maranhão, Brazil. The ARE is characterized by deforestation and the filling of mangroves for the construction of shanties as well as the discharge of domestic and hospital waste (Santos et al, 2019). Studies aimed at understanding the dynamics of physical, chemical, and sedimentary variables make an important contribution to knowledge on estuarine systems and variations in these systems in terms of the distribution of sedimentary and physical characteristics (Serejo et al, 2020).…”
Section: Introductionmentioning
confidence: 99%