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Aqueous exposure and uptake of arsenic by riverside communities affected by mining contamination in the Río Pilcomayo basin, Bolivia

Published online by Cambridge University Press:  05 July 2018

J. Archer ,
K. A. Hudson-Edwards ,
D. A. Preston ,
R. J. Howarth  and
K. Linge
J. Archer
Affiliation:
School of Earth Sciences, Birkbeck, University of London, Malet St., London WC1E 7HX, UK
K. A. Hudson-Edwards*
Affiliation:
School of Earth Sciences, Birkbeck, University of London, Malet St., London WC1E 7HX, UK
D. A. Preston
Affiliation:
School of Geography, University of Leeds, Leeds LS2 9JT, UK
R. J. Howarth
Affiliation:
Department of Earth Sciences, University College London, Gower St., London WC1E 6BT, UK
K. Linge
Affiliation:
NERC ICP Facility, School of Earth Sciences and Geography, Kingston University, Penrhyn Road, Surrey KT1 2EE, UK
*
*E-mail: k.hudson-edwards@geology.bbk.ac.uk
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Abstract

The headwaters of the Río Pilcomayo drain the Cerro Rico de Potosí precious metal-polymetallic tin deposits of southern Bolivia. Mining of these deposits has taken place for around 500 years, leading to severe contamination of the Pilcomayo's waters and sediments for at least 200 km downstream. Communities living downstream of the mines and processing mills rely on the river water for irrigation, washing and occasionally, cooking and drinking, although most communities take their drinking water from springs located in the mountains above their village. This investigation focuses on arsenic exposure in people living in riverside communities up to 150 km downstream of the source. Sampling took place in April–May 2003 (dry season) and was repeated in January–March 2004 (wet season) in five communities: El Molino, Tasapampa, Tuero Chico, Sotomayor and Cota. Cota was the control in 2003 and again in 2004; a nearby city, Sucre, and several locations in the UK were also used as controls in 2004. Drinking, irrigation and river waters, hair and urine samples were collected in each community, digested where appropriate and analysed for As using ICP-MS. Arsenic concentrations in drinking waters ranged 0.2–112 μg 1–1, irrigation water 0.6–329 μg 1–1, river waters 0.9–12,800 μg 1–1, hair 37–2110 μg kg–1 and urine 11–891 μg 1–1. All but one drinking water sample was found to contain As below the World Health Organization recommended guideline of 10 μg 1–1, although a number of irrigation and river water concentrations were above Canadian and Bolivian guidelines. Many As concentrations in the hair and urine samples from this study exceeded published values for non-occupationally exposed subjects. Analysis of mean concentration values for all media types showed that there were no statistically significant differences between the control locations and the communities exposed to known As contamination, suggesting that the source of As may not be mining-related. Arsenic concentration appears to increase as a function of age in hair samples from males and females older than 30 years. Male volunteers over the age of 35 showed increasing urine-As concentrations as a function of age, whereas the opposite was true for the females.

Keywords

arsenicminingwaterhairurinehuman exposureBoliviaPilcomayo
Type
Research Article
Information
Mineralogical Magazine , Volume 69 , Issue 5 , October 2005 , pp. 719 - 736
Copyright
Copyright © The Mineralogical Society of Great Britain and Ireland 2005

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References

Akagi, H., Malm, O., Kinjo, Y., Harada, M., Branches, F.J.P., Pfeiffer, W.C. and Kato, H. (1995) Methylmercury pollution in the Amazon, Brazil. Science of the Total Environment, 175, 85–95.CrossRefGoogle Scholar
Arnold, H.L., Odam, R.B. and James, W.D. (1990) Disease of the skin: Clinical Dermatology, 8thedition. Saunders W.B. Company, Philadelphia, USA.Google Scholar
Boischio, A.A.P and Cernichiari, E. (1998) Longitudinal hair mercury concentration in riverside mothers along the Upper Madeira River (Brazil). Environmental Research Section A, 11, 79–83.CrossRefGoogle Scholar
Bolivian Agricultural Waters Standard (1995) Water Polluting Materials. Regulation for the Environmental Law, Regulation no. 24176, Bolivia.Google Scholar
Chatterjee, A., Das, D., Mandal, B.K., Chowdhury, T.R., Samanta, G. and Chakraborti, D. (1995) Arsenic in groundwater in six districts of West Bengal, India: the biggest arsenic calamity in the world. Part 1: arsenic species in drinking water and urine of affected people. Analyst, 120, 643–650.CrossRefGoogle Scholar
Cleveland, W.S. (1979) Robust locally weighted regression and smoothing scatterplots. Journal of the American Statistical Association, 74, 829–836.CrossRefGoogle Scholar
Cohen, A.C. (1959) Simplified estimators for the normal distribution when samples are singly censored or truncated. Technometrics, 1, 217–237.CrossRefGoogle Scholar
Cohen, A.C. (1961) Tables for maximum likelihood estimates: singly truncated and singly censored samples. Technometrics, 3, 535–541.CrossRefGoogle Scholar
Crecelius, E.A. (1977) Changes in the chemical specification of arsenic following ingestion by man. Environmental Health Perspectives, 19, 147–150.CrossRefGoogle Scholar
Cunningham, C.C., McNamee, J., Vasquez, J.P. and Ericksen, G.E. (1991) A model of volcanic dome-hosted precious metal deposits in Bolivia. Economic Geology, 86, 415–421.CrossRefGoogle Scholar
Das, D., Chatterjee, A., Mandal, B.K., Samanta, G. and Chakraborti, D. (1995) Arsenic in groundwater in six districts of West Bengal, India: the biggest arsenic calamity in the world. Part 2: arsenic concentration in drinking water, hair, nails, urine, skin-scale and liver tissue (biopsy) of the affected people. Analyst, 120, 917–924.CrossRefGoogle Scholar
Das, D., Samanta, G., Mandal, B.K., Chowdhury, T.R., Chanda, C.R., Chowdhury, P.P., Basu, G.K. and Chakraborti, D. (1996) Arsenic in groundwater in six districts of West Bengal, India. Environmental Geochemistry and Health, 18, 5–16.CrossRefGoogle ScholarPubMed
Farago, M.E. and Kavanagh, P. (1999) High arsenic-containing soils in SW England and human exposure assessment. Pp. 181–184: Geochemistry of the Earth's Surface (Armannsson, H., editor). Balkema, Rotterdam..Google Scholar
Foster, A.L., Brown, G.E. Jr, Tingle, T.N. and Parks, G.A. (1998) Quantitative arsenic speciation in mine tailings using X-ray absorption spectroscopy. American Mineralogist, 83, 553–568.CrossRefGoogle Scholar
Hahn, G.J. and Meeker, W.Q. (1991) Statistical Intervals. A Guide for Practitioners. Wiley, New York.CrossRefGoogle Scholar
Hamilton, E.I. (2000) Environmental variables in a holistic evaluation of land contaminated by historic mine wastes: a study of multi-element mine wastes in West Devon, England using arsenic as an element of potential concern to human health. Science of the Total Environment, 249, 171–221.CrossRefGoogle Scholar
Hinwood, A.L., Sim, M.R., Jolley, D., de Klerk, N., Bastone, E.B., Gerostamoulos, J. and Drummer, O.H. (2004) Exposure to inorganic arsenic in soil increases urinary inorganic arsenic concentrations of residents living in old mining areas. Environmental Geochemistry and Health, 26, 27–36.CrossRefGoogle ScholarPubMed
Hudson-Edwards, K.A., Schell, C. and Macklin, M.G. (1999) Mineralogy and geochemistry of alluvium contaminated by metal mining in the Rio Tinto area, southwest Spain. Applied Geochemistry, 14, 1015–1030.CrossRefGoogle Scholar
Hudson-Edwards, K.A., Macklin, M.G., Miller, J.R. and Lechler, P.J. (2001) Sources, distribution and storage of heavy metals in the Rio Pilcomayo, Bolivia. Journal of Geochemical Exploration, 72, 229–250.CrossRefGoogle Scholar
Hughes, M.F. (2002) Arsenic toxicity and potential mechanisms of action. Toxicology Letters, 133, 1–16.CrossRefGoogle ScholarPubMed
IAEA (1977) in Subramanian, K.S. (1996) Determination of metals in biofluids and tissues: sample preparation methods for atomic spectroscopic techniques. Spectrochimica Acta Part B, 51, 291–319.CrossRefGoogle Scholar
Iriondo, M. (1993) Geomorphology and late Quaternary of the Chaco (South America). Geomorphology, 1, 289–303.CrossRefGoogle Scholar
JICA (1999) Estudio de evaluacion del impacto ambiental producido por las actividades mineras en Potosi. Unpublished report for Pilcomayo Master Plan.Google Scholar
Knobeloch, L. and Anderson, H. (2003) Effect of arsenic-contaminated drinking water on skin cancer prevalence in Wisconsin's Fox River Valley. Pp. 155–163: Arsenic Exposure and Health Effects V (Chappell, W.R., CO. Abernathy, , Calderon, C.L. and Thomas, D.J. (editors). Elsevier B.V., Oxford, UK.CrossRefGoogle Scholar
Lee, J.-S. and Chon, H.-T. (2003) Exposure assessment of heavy metals on abandoned metal mine areas by ingestion of soil, crop, plant and groundwater. Journal de Physique IV France, 107, 757–760.CrossRefGoogle Scholar
Mahon, K.I. (1996) The New ‘York’ regression: application of an improved statistical method to geochemistry. International Geology Review, 38, 293–30.CrossRefGoogle Scholar
Matschullat, J., Perobelli Borba, R., Deschamps, E., Ribeiro Figueiredo, B., Gabrio, T. and Schwenk, M. (2000) Human and environmental contamination in the Iron Quadrangle, Brazil. Applied Geochemistry 15, 193–202.CrossRefGoogle Scholar
Miller, J.R. (1997) The role of fluvial geomorphic processes in the transport and storage of heavy metals from mine sites. Journal of Geochemical Exploration, 58, 101–118.CrossRefGoogle Scholar
Miller, J.R., Hudson-Edwards, K.A., Lechler, P.J., Preston, D. and Macklin, M.G. (2004) Heavy metal contamination of water, soil and produce within riverine communities of the Rio Pilcomayo basin, Bolivia. Science of the Total Environment, 320, 189–209.CrossRefGoogle ScholarPubMed
Minoia, C., Sabbioni, E., Apostoli, P., Pietra, R., Pozzoli, L., Gallorini, M., Nicolaou, G., Alessio, L. and Capodaglio, E. (1990) Trace element reference values in tissues from inhabitants of the European community I. A study of 46 elements in urine, blood and serum of Italian subjects. Science of the Total Environment, 95, 89–105.CrossRefGoogle ScholarPubMed
Morton, J., Carolan, V.A. and Gardiner, P.H.E. (2002) Removal of exogenously bound elements from human hair by various washing procedures and determination by inductively coupled plasma mass spectrometry. Analytica Chimica Acta, 455, 23–34.CrossRefGoogle Scholar
Nelson, L.S. (1974) Factors for the Analysis of Means. Journal of Quality Technology, 6, 175–181.CrossRefGoogle Scholar
Nelson, L.S. (1983) Exact critical values for use with the Analysis of Means. Journal of Quality Technology, 15, 40–44.CrossRefGoogle Scholar
Nelson, L.S. (1993) Additional uses for the Analysis of Means and extended tables of critical values. Technometrics, 35, 61–71.CrossRefGoogle Scholar
Ott, E.R. (1967) Analysis of means – a graphical procedure. Industrial Quality Control, 24, 101–109.Google Scholar
Peterson, H.G. (1999) Quality Agriculture and Agri-Food Canada, http://www.agr.ca/pfra/water/fieldirr.pdf (accessed 20 April 2005).Google Scholar
PROVISA (1989) Estudio de Factibilidad. Volumen 4, Anexo II: Hidrologia. Unpublished report for Ambio Chaco, Villa Montes, Bolivia.Google Scholar
Rodushkin, I. and Axelsson, M.D. (2000) Application of double focusing sector field ICP-MS for multi-elemental characterization of human hair and nails. Part II. A study of the inhabitants of northern Sweden. Science of the Total Environment, 262, 21–36.CrossRefGoogle Scholar
Rousseeuw, P.J. and Leroy, A.M. (2003) Robust regression and outlier detection, Wiley, New York.Google Scholar
Samanta, G., Sharma, R., Roychowdhury, T. and Chakraborti, D. (2004) Arsenic and other elements in hair, nails, and skin-scales of arsenic victims in West Bengal, India. Science of the Total Environment, 326, 33–47.CrossRefGoogle ScholarPubMed
Schollaert, A. (2000) Monitoreo voluntario de la contaminación de Rίo Pilcomayo en el Departamento de Chuquisaca. Unpublished report for Asociacíon Sucrense de Ecologia, Bolivia.Google Scholar
Sera, K., Futatsugawa, S. and Murao, S. (2002) Quantitative analysis of untreated hair samples for monitoring human exposure to heavy metals. Nuclear Instruments and Methods in Physics Research B, 189, 174–179.CrossRefGoogle Scholar
Smolders, A.J.P., Guerrero Hiza, M.A., van der Velde, G. and Roelofs, J.G.M. (2002) Dynamics of discharge, sediment transport, heavy metal pollution and Sabalo (Prochilodus lineatus) catches in the lower Pilcomayo River (Bolivia). River Research and Applications, 18, 415–427.CrossRefGoogle Scholar
Smolders, A.J.P., Hudson-Edwards, K.A., van der Velde, G. and Roelofs, J.G.M. (2004) Controls on water chemistry of the Pilcomayo River (Bolivia, South-America). Applied Geochemistry, 19, 1745–1758.CrossRefGoogle Scholar
Southwick, J.W., Western, A.E., Beck, M.M., Whitely, T., Isaacs, R., Petajan, J. and Hansen, C.D. (1983) An epidemiological study of arsenic in drinking water in Millard County, Utah. Pp. 210–225 in: Arsenic: Industrial, Biomedical, Environmental Perspectives (Leadere, W.H. and Fensterheim, R.J., editors). Van Nostrand Reinhold Company, New York.Google Scholar
Thompson, M. and Howarth, R.J. (1980) The frequency distribution of analytical error. Analyst, 105, 1188–1195.CrossRefGoogle Scholar
Tokunaga, H., Roychowdhury, T., Uchino, T. and Ando, M. (2005) Urinary arsenic species in an arsenic-affected area of West Bengal, India (part III). Applied Organometallic Chemistry, 19, 246–253.CrossRefGoogle Scholar
US EPA (2001) National Primary Drinking Water Regulations; Arsenic and Clarifications to Compliance and New Source Contaminants Monitoring, http://www.epa.gov/safewater/ars/arsenic_finalrule.html (accessed 16 December 2004).Google Scholar
White, M.A. and Sabbioni, E. (1998) Trace element reference values in tissues from inhabitants of the European Union. X. A study of 13 elements in blood and urine of a United Kingdom population. Science of the Total Environment, 216, 253–270.CrossRefGoogle Scholar
WHO (World Health Organization) (1996) Health criteria and other supporting information. Pp. 940–949 in: Guidelines for Drinking-water Quality, 2nd edition, Vol. 2. WHO, Geneva.Google Scholar
WHO (World Health Organization) (1998) Addendum to Vol. 2. Pp. 281–283 in: Guidelines for drinking-water quality, 2nd edition. WHO, Geneva.Google Scholar
WHO (World Health Organization) (2001) Arsenic compounds, Environmental Health Criteria 224, 2nd edition. WHO, Geneva.Google Scholar
Wilkinson, M. and Mohler, R.R.J. (1995) Colmatation of the Pilcomayo river as observed from space shuttle photography. GSA Program with Abstracts, 27, 116.Google Scholar
Wright, D.A. and Welbourn, P. (2002) Environmental toxicology. Cambridge Environmental Chemistry Series, 11. Cambridge University Press, Cambridge, UK.Google Scholar
York, D. (1967) The best isochron. Earth and Planetary Science Letters, 2, 479–482.CrossRefGoogle Scholar
Zierold, K.M., Knobeloch, L. and Anderson, H. (2004) Prevalence of chronic diseases in adults exposed to arsenic-contaminated drinking water. American Journal of Public Health, 94, 1936–1937.CrossRefGoogle ScholarPubMed