Literature DB >> 23220092

Using indicator kriging for the evaluation of arsenic potential contamination in an abandoned mining area (Portugal).

I M H R Antunes1, M T D Albuquerque.   

Abstract

Mining and mineral-processing activities can modify the environment in a variety of ways. Sulfide mineralization is notorious for producing waters with high metal contents. Arsenic is commonly associated with sulfide mineralization and is considered to be toxic in the environment at low levels. The studied abandoned mining area is located in central Portugal and the resulting tailings and rejected materials were deposited and exposed to the air and water for the last 50 years. Sixteen water sample-points were collected. One of these was collected outside the mining influence, with the aim of obtaining a reference background. The risk assessment, concerning the proximity to abandoned mineralized deposits, needs the evaluation of intrinsic and specific vulnerabilities aiming the quantification of the anthropogenic activities. In this study, two indicator variables were constructed. The first one (I(1)), a specific vulnerability, considers the arsenic water supply standard value (0.05 mg/L), and the probability of it being exceeded is dependent on the geologic and hydrological characteristics of the studied area and also on the anthropogenic activities. The second one (I(2)), an intrinsic vulnerability, considers arsenic background limit as cut-off value, and depends only on the geologic and hydro-geological characteristics of the studied area. At Segura, the arsenic water content found during December 2006 (1.190 mg/L) was higher than the arsenic water content detected in October 2006 (0.636 mg/L) which could be associated to the arsenic released from Fe oxy-hydroxide. At Segura abandoned mining area, the iso-probability maps of October 2006 and December 2006, show strong anomalies associated with the water drainage from abandoned mining activities. Near the village, the probability of exceeding the arsenic background value is high but lower than the probability of exceeding the arsenic water supply value. The arsenic anomalies indicate a high probability for water arsenic contamination and those waters should not be used for human consumption.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 23220092     DOI: 10.1016/j.scitotenv.2012.10.010

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


  6 in total

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Authors:  I M H R Antunes; M T D Albuquerque; N Roque
Journal:  Environ Geochem Health       Date:  2018-05-18       Impact factor: 4.609

2.  Potential toxic elements in stream sediments, soils and waters in an abandoned radium mine (central Portugal).

Authors:  I M H R Antunes; A M R Neiva; M T D Albuquerque; P C S Carvalho; A C T Santos; Pedro P Cunha
Journal:  Environ Geochem Health       Date:  2017-03-25       Impact factor: 4.609

3.  A multivariate geostatistical methodology to delineate areas of potential interest for future sedimentary gold exploration.

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Journal:  Math Geosci       Date:  2016-02-01       Impact factor: 2.576

4.  Evaluation of geostatistical estimators and their applicability to characterise the spatial patterns of recreational fishing catch rates.

Authors:  Eric N Aidoo; Ute Mueller; Pierre Goovaerts; Glenn A Hyndes
Journal:  Fish Res       Date:  2015-08       Impact factor: 2.422

5.  Spatial modeling of ecological areas by fitting the limiting factors for As in the vicinity of mine, Serbia.

Authors:  Dragan Cakmak; Veljko Perovic; Elmira Saljnikov; Darko Jaramaz; Biljana Sikiric
Journal:  Environ Sci Pollut Res Int       Date:  2013-11-27       Impact factor: 4.223

6.  A methodology for assessing public health risk associated with groundwater nitrate contamination: a case study in an agricultural setting (southern Spain).

Authors:  Mario Chica-Olmo; Fabio Peluso; Juan Antonio Luque-Espinar; Victor Rodriguez-Galiano; Eulogio Pardo-Igúzquiza; Lucía Chica-Rivas
Journal:  Environ Geochem Health       Date:  2016-09-28       Impact factor: 4.609

  6 in total

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