Controls of uncertainty in acid rock drainage predictions from waste rock piles examined through Monte-Carlo multicomponent reactive transport

被引:0
作者
Daniele Pedretti
K. Ulrich Mayer
Roger D. Beckie
机构
[1] Università degli Studi di Milano,Dipartimento di Scienze della Terra “A. Desio”
[2] University of British Columbia,Earth, Ocean and Atmospheric Sciences
来源
Stochastic Environmental Research and Risk Assessment | 2020年 / 34卷
关键词
Stochastic modeling framework; Mining waste rock piles; Uncertainty; Multicomponent reactive transport modeling; Geostatistics; Acid rock drainage;
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摘要
Heterogeneity in waste rock piles (WRPs) determines uncertainty in acid mine drainage (ARD) predictions from these deposits. Numerical modeling based on a novel and efficient stochastic framework to evaluate influential heterogeneity-linked factors controlling such uncertainty. The analysis considers a representative WRP with a mean neutralization potential ratio NPR¯=2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\overline{NPR} = 2$$\end{document}. The heterogeneity-linked factors are: (1) Scale-dependent mineralogical variability. At the “local” scale, the variability within individual rock blocks in the waste rocks (10 s of cm) is measured through the correlation coefficient (ρ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\rho$$\end{document}) between acid producing and acid consuming minerals, here considered a geogenic property of the site. For the analyzed conditions, as ρ→0\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\rho \to 0$$\end{document} WRPs tend generate a higher risk of ARD and higher variability among results, which can be explained by the increasing mineralogical mixing (blending) as ρ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\rho$$\end{document} grows. At the “field” scale, the coefficient of variation (CV\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$CV$$\end{document}) is measured as the mineralogical variability of all rock blocks within the WRP. Since CV\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$CV$$\end{document} is an engineering design parameter of a WRP, the results suggest that building WRPs with lower CVs\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$CVs$$\end{document} results in less uncertain predictions of long-term neutralization capacity of the piles. (2) Flow heterogeneity. The variance of solute travel times through a pile, here measured by σw2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma_{w}^{2}$$\end{document}, can be used to characterize flow heterogeneity, where high variance means stronger preferential flow in the WRP. Simulated ARD mass loadings with strong flow heterogeneity (σw2≥1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma_{w}^{2} \ge 1$$\end{document}) leads to significant differences to the homogeneous case, increasing the uncertainty in the estimation of the ARD risk. (3) Pore gas concentration. In well-ventilated WRPs the effect of mineralogical heterogeneity is enhanced (WRPs generate much higher risk than WRPs with diffusion-limited gas transport modalities. Gas diffusion limits the amount of acidity produced in sulfidic-rich zones, thus attenuating the effect of mineralogical variability at the scale of the WRPs compared to well-ventilated piles.
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页码:219 / 233
页数:14
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