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Risk assessment of particle dispersion and trace element contamination from mine-waste dumps.

Identifieur interne : 000092 ( PubMed/Corpus ); précédent : 000091; suivant : 000093

Risk assessment of particle dispersion and trace element contamination from mine-waste dumps.

Auteurs : Antonio Romero ; Isabel González ; José María Martín ; María Auxiliadora Vázquez ; Pilar Ortiz

Source :

Environmental geochemistry and health [ 1573-2983 ] ; 2015.

RBID : pubmed:25190539

English descriptors

KwdEn :
- Environmental Monitoring, Geographic Information Systems, Mining, Particulate Matter (analysis), Risk Assessment (methods), Soil (chemistry), Soil Pollutants (analysis), Spain, Trace Elements (analysis), Waste Disposal Facilities, Wind.
MESH :
- chemical , analysis : Particulate Matter, Soil Pollutants, Trace Elements.
- chemical , chemistry : Soil.
- geographic : Spain.
- methods : Risk Assessment.
- Environmental Monitoring, Geographic Information Systems, Mining, Waste Disposal Facilities, Wind.

Abstract

In this study, a model to delimit risk zones influenced by atmospheric particle dispersion from mine-waste dumps is developed to assess their influence on the soil and the population according to the concentration of trace elements in the waste. The model is applied to the Riotinto Mine (in SW Spain), which has a long history of mining and heavy land contamination. The waste materials are separated into three clusters according to the mapping, mineralogy, and geochemical classification using cluster analysis. Two of the clusters are composed of slag, fresh pyrite, and roasted pyrite ashes, which may contain high concentrations of trace elements (e.g., >1 % As or >4 % Pb). The average pollution load index (PLI) calculated for As, Cd, Co, Cu, Pb, Tl, and Zn versus the baseline of the regional soil is 19. The other cluster is primarily composed of sterile rocks and ochreous tailings, and the average PLI is 3. The combination of particle dispersion calculated by a Gaussian model, the PLI, the surface area of each waste and the wind direction is used to develop a risk-assessment model with Geographic Information System GIS software. The zone of high risk can affect the agricultural soil and the population in the study area, particularly if mining activity is restarted in the near future. This model can be applied to spatial planning and environmental protection if the information is complemented with atmospheric particulate matter studies.

DOI: 10.1007/s10653-014-9645-0
PubMed: 25190539

Links to Exploration step

pubmed:25190539

Le document en format XML

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<author><name sortKey="Romero, Antonio" sort="Romero, Antonio" uniqKey="Romero A" first="Antonio" last="Romero">Antonio Romero</name>
<affiliation><nlm:affiliation>Dpto. de Cristalografía, Mineralogía y Química Agrícola, Facultad de Química, Universidad de Sevilla, C/Profesor García González S/N, 41012, Seville, Spain, aromero@us.es.</nlm:affiliation>
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<author><name sortKey="Gonzalez, Isabel" sort="Gonzalez, Isabel" uniqKey="Gonzalez I" first="Isabel" last="González">Isabel González</name>
</author>
<author><name sortKey="Martin, Jose Maria" sort="Martin, Jose Maria" uniqKey="Martin J" first="José María" last="Martín">José María Martín</name>
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<author><name sortKey="Vazquez, Maria Auxiliadora" sort="Vazquez, Maria Auxiliadora" uniqKey="Vazquez M" first="María Auxiliadora" last="Vázquez">María Auxiliadora Vázquez</name>
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<author><name sortKey="Ortiz, Pilar" sort="Ortiz, Pilar" uniqKey="Ortiz P" first="Pilar" last="Ortiz">Pilar Ortiz</name>
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<term>Trace Elements (analysis)</term>
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<front><div type="abstract" xml:lang="en">In this study, a model to delimit risk zones influenced by atmospheric particle dispersion from mine-waste dumps is developed to assess their influence on the soil and the population according to the concentration of trace elements in the waste. The model is applied to the Riotinto Mine (in SW Spain), which has a long history of mining and heavy land contamination. The waste materials are separated into three clusters according to the mapping, mineralogy, and geochemical classification using cluster analysis. Two of the clusters are composed of slag, fresh pyrite, and roasted pyrite ashes, which may contain high concentrations of trace elements (e.g., >1 % As or >4 % Pb). The average pollution load index (PLI) calculated for As, Cd, Co, Cu, Pb, Tl, and Zn versus the baseline of the regional soil is 19. The other cluster is primarily composed of sterile rocks and ochreous tailings, and the average PLI is 3. The combination of particle dispersion calculated by a Gaussian model, the PLI, the surface area of each waste and the wind direction is used to develop a risk-assessment model with Geographic Information System GIS software. The zone of high risk can affect the agricultural soil and the population in the study area, particularly if mining activity is restarted in the near future. This model can be applied to spatial planning and environmental protection if the information is complemented with atmospheric particulate matter studies.</div>
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Risk assessment of particle dispersion and trace element contamination from mine-waste dumps.

Risk assessment of particle dispersion and trace element contamination from mine-waste dumps.

Source :

English descriptors

Abstract

Links to Exploration step

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