Literature DB >> 23220132

Distribution and chemical speciation of arsenic and heavy metals in highly contaminated waters used for health care purposes (Srebrenica, Bosnia and Herzegovina).

V Lenoble1, D Omanović, C Garnier, S Mounier, N Đonlagić, C Le Poupon, I Pižeta.   

Abstract

Determination of distribution and chemical speciation of arsenic and heavy metals in five acidic springs and in the receiving river near Srebrenica (Bosnia and Herzegovina) was carried out. These waters were used for centuries, and continue to be used, for health-care purposes. The composition and properties of all springs and the river water (after all inputs) resembled that of an acid mine drainage. Very low pH (<3.3), high sulphate concentration and extremely high contents of most of the measured elements (25) are found in all springs (e.g. arsenic and iron maximal concentration of 6.6 and 500 mg L(-1), respectively). Although of small discharge, spring waters caused the decrease of the receiving river pH (from 7.3 to 3.4) and the considerable increase of the concentrations of elements. The enrichment factor for the studied elements ranged from 1.2 for Sr up to 425 for As. In acidic spring waters, all elements were predominantly present in dissolved form. Elements associated to freshly-formed hydrous ferric oxide were prevailing in particulate forms only at the two most upstream sites in the river with pH>7. Geochemical speciation modelling (PHREEQC and WHAM-VI) revealed that As was mainly present as As(V), and Fe as Fe(III). Complexation of dissolved metals by organic matter was predicted to be significant only for the two river sites with neutral pH.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 23220132     DOI: 10.1016/j.scitotenv.2012.10.002

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  7 in total

1.  Modeling seasonal and spatial contamination of surface waters and upper sediments with trace metal elements across industrialized urban areas of the Seybouse watershed in North Africa.

Authors:  Bourhane-Eddine Belabed; Abderrafik Meddour; Boudjéma Samraoui; Haroun Chenchouni
Journal:  Environ Monit Assess       Date:  2017-05-11       Impact factor: 2.513

2.  Seasonal variations in heavy metals in water and sediment samples from River Tano in the Bono, Bono East, and Ahafo Regions, Ghana.

Authors:  A J Nyantakyi; O Akoto; B Fei-Baffoe
Journal:  Environ Monit Assess       Date:  2019-08-16       Impact factor: 2.513

3.  Evaluate the heavy metal toxicity to Pseudomonas fluorescens in a low levels of metal-chelates minimal medium.

Authors:  Fei Wang; Jun Yao; Huilun Chen; Zhengji Yi; Chan Yu; Yujie Tuo; Lan Ma; Qian Yu
Journal:  Environ Sci Pollut Res Int       Date:  2014-04-12       Impact factor: 4.223

Review 4.  Improving the predictive value of bioaccessibility assays and their use to provide mechanistic insights into bioavailability for toxic metals/metalloids - A research prospectus.

Authors:  Jennifer L Griggs; David J Thomas; Rebecca Fry; Karen D Bradham
Journal:  J Toxicol Environ Health B Crit Rev       Date:  2021-06-06       Impact factor: 8.071

5.  Seasonal and spatial variations of heavy metals in two typical Chinese rivers: concentrations, environmental risks, and possible sources.

Authors:  Hong Yao; Xin Qian; Hailong Gao; Yulei Wang; Bisheng Xia
Journal:  Int J Environ Res Public Health       Date:  2014-11-17       Impact factor: 3.390

6.  The Effect of Broccoli Extract in Arsenic-Induced Experimental Poisoning on the Hematological, Biochemical, and Electrophoretic Parameters of the Liver and Kidney of Rats.

Authors:  Mahdieh Raeeszadeh; Pouria Karimi; Nadia Khademi; Pejman Mortazavi
Journal:  Evid Based Complement Alternat Med       Date:  2022-01-05       Impact factor: 2.629

7.  Estimating and Predicting Metal Concentration Using Online Turbidity Values and Water Quality Models in Two Rivers of the Taihu Basin, Eastern China.

Authors:  Hong Yao; Wei Zhuang; Yu Qian; Bisheng Xia; Yang Yang; Xin Qian
Journal:  PLoS One       Date:  2016-03-30       Impact factor: 3.240

  7 in total

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