Literature DB >> 28159307

Groundwater arsenic contamination in Burkina Faso, West Africa: Predicting and verifying regions at risk.

Anja Bretzler1, Franck Lalanne2, Julien Nikiema3, Joel Podgorski4, Numa Pfenninger4, Michael Berg4, Mario Schirmer5.   

Abstract

Arsenic contamination in groundwater from crystalline basement rocks in West Africa has only been documented in isolated areas and presents a serious health threat in a region already facing multiple challenges related to water quality and scarcity. We present a comprehensive dataset of arsenic concentrations from drinking water wells in rural Burkina Faso (n=1498), of which 14.6% are above 10μg/L. Included in this dataset are 269 new samples from regions where no published water quality data existed. We used multivariate logistic regression with arsenic measurements as calibration data and maps of geology and mineral deposits as independent predictor variables to create arsenic prediction models at concentration thresholds of 5, 10 and 50μg/L. These hazard maps delineate areas vulnerable to groundwater arsenic contamination in Burkina Faso. Bedrock composed of schists and volcanic rocks of the Birimian formation, potentially harbouring arsenic-containing sulphide minerals, has the highest probability of yielding groundwater arsenic concentrations >10μg/L. Combined with population density estimates, the arsenic prediction models indicate that ~560,000 people are potentially exposed to arsenic-contaminated groundwater in Burkina Faso. The same arsenic-bearing geological formations that are positive predictors for elevated arsenic concentrations in Burkina Faso also exist in neighbouring countries such as Mali, Ghana and Ivory Coast. This study's results are thus of transboundary relevance and can act as a trigger for targeted water quality surveys and mitigation efforts.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Arsenic contamination; Drinking water; Hazard modelling; Health threat; Sulphide minerals; West Africa

Year:  2017        PMID: 28159307     DOI: 10.1016/j.scitotenv.2017.01.147

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


  6 in total

1.  An assessment of arsenic hazard in groundwater-soil-rice system in two villages of Nadia district, West Bengal, India.

Authors:  Munish Kumar Upadhyay; Arnab Majumdar; Anil Barla; Sutapa Bose; Sudhakar Srivastava
Journal:  Environ Geochem Health       Date:  2019-04-08       Impact factor: 4.609

2.  Nanofibers of resorcinol-formaldehyde for effective adsorption of As (III) ions from mimicked effluents.

Authors:  Prakash Gore; Majeda Khraisheh; Balasubramanian Kandasubramanian
Journal:  Environ Sci Pollut Res Int       Date:  2018-02-13       Impact factor: 4.223

3.  Evaluating Geologic Sources of Arsenic in Well Water in Virginia (USA).

Authors:  Tiffany VanDerwerker; Lin Zhang; Erin Ling; Brian Benham; Madeline Schreiber
Journal:  Int J Environ Res Public Health       Date:  2018-04-18       Impact factor: 3.390

4.  Performance evaluation of surfactant modified kaolin clay in As(III) and As(V) adsorption from groundwater: adsorption kinetics, isotherms and thermodynamics.

Authors:  Rabelani Mudzielwana; Mugera Wilson Gitari; Patrick Ndungu
Journal:  Heliyon       Date:  2019-11-19

5.  Global analysis and prediction of fluoride in groundwater.

Authors:  Joel Podgorski; Michael Berg
Journal:  Nat Commun       Date:  2022-08-01       Impact factor: 17.694

6.  Machine Learning Models of Arsenic in Private Wells Throughout the Conterminous United States As a Tool for Exposure Assessment in Human Health Studies.

Authors:  Melissa A Lombard; Molly Scannell Bryan; Daniel K Jones; Catherine Bulka; Paul M Bradley; Lorraine C Backer; Michael J Focazio; Debra T Silverman; Patricia Toccalino; Maria Argos; Matthew O Gribble; Joseph D Ayotte
Journal:  Environ Sci Technol       Date:  2021-03-17       Impact factor: 9.028

  6 in total

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