Waste rock dump investigation at Roşia Montană gold mine (Romania): a geostatistical approach

被引:0
作者
Diego Servida
Sara Comero
Mara Dal Santo
Luisa de Capitani
Giovanni Grieco
Pietro Marescotti
Silvia Porro
Ferenc Lázár Forray
Ágnes Gál
Alexandru Szakács
机构
[1] Università di Milano,Dipartimento di Scienze della Terra “Ardito Desio”
[2] European Commission’s Joint Research Centre,Institute for Environment and Sustainability
[3] MWH S.p.A,DISTAV
[4] Università di Genova,Dipartimento di Scienze della Terra, dell’Ambiente e della Vita
[5] Babeş-Bolyai University,Department of Geology
[6] Sapientia University,Department of Environmental Sciences
来源
Environmental Earth Sciences | 2013年 / 70卷
关键词
Waste rock; Mine dump; Acid mine drainage (AMD); Positive matrix factorization (PMF); Roşia Montana;
D O I
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中图分类号
学科分类号
摘要
Roşia Montană, the largest European gold mine, could be re-opened. Environmental problems led to severe pollution of the Roşia and Abrud Rivers. The two main potentially toxic element (PTE) sources in mine sites are, in general, the abandoned underground workings and the piles of waste rock. Since the composition of waste rocks is often heterogeneous, this study faces the problem of estimating their mineralogical and chemical features starting from a set of sampling point. Twenty-five samples were collected on the main waste dump of the Roşia Montană mine following a virtual squared grid (knots distance about 25 m). Grain size, color, bulk chemistry, mineralogy, acid mine drainage potential and a set of selected PTE (Ag, As, Cu, Ni, Pb and Zn) concentrations were determined on each sample. In a first approximation two main waste rock groups were identified: WR1 bulk composition is dacite-dominated, while WR2 is andesite-dominated. In both of them the concentrations of PTEs are below the regulatory limits for soils, with the exception of As. In terms of acid mine drainage, WR1 has a net acid-producing potential, while WR2 has a net neutralizing potential. The anisotropy of WR properties were analysed by means of semi-variograms and displayed with contour maps. Application of positive matrix factorization for the analysis of all the data relative to waste rocks allowed defining, in a semi-quantitative way, the factors controlling pollution and their spatial distribution. The processing of score matrix G factor associated with the geostatistical elaboration promises to be a powerful tool to discern the composition of mine dumps and support the exploitation and remediation phases.
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页码:13 / 31
页数:18
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