Literature DB >> 31696305

Potential mobility assessment of metals in salt marsh sediments from San Antonio Bay.

Carmen H Marinho1, Erica Giarratano2, Claudia E Domini3, Mariano Garrido3, Mónica N Gil2.   

Abstract

The BCR method was applied on sediments from the salt marsh of San Antonio Bay (SAB). It presents several channels among which the Encerrado is the most important and is impacted by abandoned mining wastes. The pseudototal concentrations of metals measured within this channel were relatively higher than in outer sites, and according to the Igeo index, its contamination level was low. The metal distribution in the different phases of sediment particles showed that the residual component, considered the safest from the environmental point of view, accounted for most of the Fe, Cd, Cu, and Zn contents. Conversely, Pb was mainly in the non-residual component as part of the reducible fraction, thus constituting the main environmental hazard among the studied elements. The predominance of residual and reducible fractions indicated a historic contamination of metal such as Pb, Cu, and Zn from the mining wastes. The low exchangeable and oxidizable fractions would indicate no actual input of metals.

Entities:  

Keywords:  BCR method; Metals; Mining wastes

Mesh:

Substances:

Year:  2019        PMID: 31696305     DOI: 10.1007/s10661-019-7895-0

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  23 in total

1.  Improvement of the BCR three step sequential extraction procedure prior to the certification of new sediment and soil reference materials.

Authors:  G Rauret; J F López-Sánchez; A Sahuquillo; R Rubio; C Davidson; A Ure; P Quevauviller
Journal:  J Environ Monit       Date:  1999-02

2.  Heavy metal distribution in marine sediments from the southwest coast of Spain.

Authors:  José Morillo; José Usero; Ignacio Gracia
Journal:  Chemosphere       Date:  2004-04       Impact factor: 7.086

3.  Assessment of heavy metals contamination in sediments from three adjacent regions of the Yellow River using metal chemical fractions and multivariate analysis techniques.

Authors:  Xiaoling Ma; Hang Zuo; Mengjing Tian; Liyang Zhang; Jia Meng; Xuening Zhou; Na Min; Xinyuan Chang; Ying Liu
Journal:  Chemosphere       Date:  2015-09-10       Impact factor: 7.086

4.  Selecting among three-mode principal component models of different types and complexities: a numerical convex hull based method.

Authors:  Eva Ceulemans; Henk A L Kiers
Journal:  Br J Math Stat Psychol       Date:  2006-05       Impact factor: 3.380

5.  Monitoring heavy metal pollution in San Antonio Bay, Río Negro, Argentina.

Authors:  N N Vázquez; M A Gil; J L Esteves; M A Narvarte
Journal:  Bull Environ Contam Toxicol       Date:  2007-05-24       Impact factor: 2.151

6.  Salinity increases the mobility of Cd, Cu, Mn, and Pb in the sediments of Yangtze Estuary: relative role of sediments' properties and metal speciation.

Authors:  Shou Zhao; Chenghong Feng; Dongxin Wang; Yanzhen Liu; Zhenyao Shen
Journal:  Chemosphere       Date:  2013-03-07       Impact factor: 7.086

7.  Accumulation and distribution of trace metals within soils and the austral cordgrass Spartina densiflora in a Patagonian salt marsh.

Authors:  Yanina L Idaszkin; Julio L Lancelotti; Pablo J Bouza; Jorge E Marcovecchio
Journal:  Mar Pollut Bull       Date:  2015-10-23       Impact factor: 5.553

8.  Chemometric approach to visualize and easily interpret data from sequential extraction procedures applied to sediment samples.

Authors:  Mónica B Alvarez; Pamela Y Quintas; Claudia E Domini; Mariano Garrido; Beatriz S Fernández Band
Journal:  J Hazard Mater       Date:  2014-04-26       Impact factor: 10.588

9.  Kinetics of trace element uptake and release by particles in estuarine waters: effects of pH, salinity, and particle loading.

Authors:  V Hatje; T E Payne; D M Hill; G McOrist; G F Birch; R Szymczak
Journal:  Environ Int       Date:  2003-08       Impact factor: 9.621

10.  Relation of enhanced Pb solubility to Fe partitioning in soils.

Authors:  Y Dong; L Q Ma; R D Rhue
Journal:  Environ Pollut       Date:  2000-12       Impact factor: 8.071

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