2017
DOI: 10.1016/j.mineng.2016.10.006
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Automated environmental mineralogy; the use of liberation analysis in humidity cell testwork

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Cited by 20 publications
(4 citation statements)
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“…Their carbonate content was lower than 0.2 wt.%, and the calcite liberation degree was around 50%. This meant that the reactive surface of calcite was reduced by half, as suggested by several authors who demonstrated that a mineral's reactivity is influenced by its liberation degree [69][70][71][72]77]. Consequently, the tailings' neutralization potential was likely negligible, assuming that the NP was influenced mainly by its carbonate content [5,11].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Their carbonate content was lower than 0.2 wt.%, and the calcite liberation degree was around 50%. This meant that the reactive surface of calcite was reduced by half, as suggested by several authors who demonstrated that a mineral's reactivity is influenced by its liberation degree [69][70][71][72]77]. Consequently, the tailings' neutralization potential was likely negligible, assuming that the NP was influenced mainly by its carbonate content [5,11].…”
Section: Discussionmentioning
confidence: 99%
“…Comparing the sulfide content with the carbonate content allows prediction of the acid-generating behavior for the mine tailings, since it is recognized that the balance between acid-forming and acid-consuming minerals can inform on the environmental behavior of mine tailings (acid-generating or not) [13,67,68]. However, the reactivity of these minerals is influenced by several parameters, such as their available reactive surface area [69][70][71][72][73]. Therefore, the degree of liberation for calcite and pyrite was analyzed by MLA, as shown in Figure 1B.…”
Section: Mineralogical Composition Of the Mine Tailingsmentioning
confidence: 99%
“…for waste rock, tailings, and pit highwalls) that will facilitate ARD onset, with many contributions evaluating the efficacy of kinetic test work (e.g. Brough et al 2017;Maest and Nordstrom 2018;Parbhakar-Fox et al 2013;Weber et al 2006) as a predictor of ARD. Comprehensive approaches using multiple tests have also been suggested by Morin and Hutt (1998) and by Parbhakar-Fox and Lottermoser (2015).…”
Section: Introductionmentioning
confidence: 99%
“…Third, utilizing data collected by other mine-site disciplines can cost-effectively assist in geoenvironmental pre-screening. For example, hyperspectral data using short-wave infrared data can be used to characterise drill core and waste materials [14][15][16][17][18][19], assay data can be used to calculate AMD [20,21] and automated mineralogical data can be used for waste characterisation following the methods described in [22][23][24][25]. By adopting a geometallurgical approach to this challenge, whereby proxy tests and methods to extract further information from existing datasets are developed and used as inputs for deposit-scale models, the opportunity is presented to adopt enhanced characterization practices.…”
Section: Introductionmentioning
confidence: 99%