In this paper, a conceptual model was developed to predict the seepage of oil sands process-affected water with capabilities of evaluating the transport and...
A new machine learning approach was developed to predict the quantity of mine waste rock drainage using weather data as the inputs. The novelty of the approach...
Journal of Contaminant Hydrology, Elsevier, 30 juillet 2021, Volume : 242
In waste rock piles, the leaching process involved in acid rock drainage is mainly controlled by water flow. This paper (Part 2) investigates the effects of...
Journal of Contaminant Hydrology, Elsevier, 4 mars 2021, Volume : 239
In this paper, a machine learning algorithm based on artificial neural network architecture investigates the correlation between drainage chemistries in...
The Equity Silver mine site, British Columbia, Canada, is known for its management and treatment of acid rock drainage. The accurate prediction of full-scale...
Journal of Contaminant Hydrology, Elsevier, 6 décembre 2018, Volume : 220
Geochemical reactions taking place at the rock surface and pore water interface, and rapid preferential water flow through waste rock piles are identified as...
The leaching process and drainage chemistry of acid rock drainage is mainly controlled by geochemical reactions and how water carries soluble reaction products...
Mechanics of Materials, Elsevier, 30 juin 2017, Volume : 112
A conceptual model is proposed in this paper to calculate the bulk hardness of particle-reinforced metal matrix composites. Hadfield steel with niobium carbide...
Journal of Contaminant Hydrology, Elsevier, 10 août 2019, Volume : 226
Surface/ground waters could be polluted when rain-water and/or snow-melt water infiltrate through waste rock piles at mine sites and dissolve secondary...
This paper presents a method for calculating erodent particle trajectories in slurry flow. It involves computational fluid dynamics (CFD) for calculating fluid...
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