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Understanding water flow through variably saturated waste‐rock dumps is important for determining the extent of sulfide‐mineral oxidation, contaminant loadings, and impacts of waste‐rock effluent on groundwater and surface‐water quality. To better understand water flow within full‐scale waste‐rock dumps in the continental subarctic region of Northern Canada, a field experiment was undertaken at the Main and Intermediate Dumps at the Faro Mine Complex, Yukon Territory. Here we present results from an investigation of the hydrological behavior and quantification of the factors controlling water flow through unsaturated waste‐rock dumps and the impacts on long‐term drainage water quality. The results suggest that flow through the fine matrix materials was the dominant flow mechanism, with possible preferential flow through macropores and ponding/runoff during intense infiltration events (i.e., snowmelt and intense rainfall). Cross δ18O‐δ2H plots of pore water collected from near‐surface waste‐rock samples suggested that evaporation at the surface of the dumps occurred during precipitation‐free periods in the summer. Depth profiles of δ18O and δ2H of pore water extracted from core samples provided indications of internal evaporation within the waste‐rock dumps and pore‐water displacement mainly in response to summer rainfall events (rather than snowmelt). Mixing calculations using δ18O and δ2H show that 76–95% of pore water present in the waste‐rock matrix was derived from summer rainfall, leading to lower concentrations of dissolved constituents in the summer effluent, and vice versa in winter. The results will inform cover design and remediation options for the waste‐rock dumps at the Faro Mine Complex.

The coefficient of permeability function is an important unsaturated soil property required when modeling seepage and contaminant transport phenomena. Inaccuracies in the estimation of the permeability function can lead to significant errors in numerical modeling results. Changes in void ratio and degree of saturation are factors that influence the permeability function. Presently available methodologies for estimating the unsaturated permeability function make the assumption that there is no volume change as soil suction is changed. As a result, volume changes are interpreted as changes in degree of saturation. The commonly used estimation techniques for the permeability function are reasonable for soils such as sands that experience little volume change as soil suction is changed. On the other hand, inaccurate results are generated when soils undergo volume change as is the case with oil sands tailings. Revisions to previous methodologies are proposed to render the estimation of the permeability function more suitable for simulating the drying process associated with soils that undergo high volume changes. The revised methodology independently analyzes the effect of volume changes (i.e., changes in void ratio) and degree of saturation changes (i.e., changes in S-SWCC (degree of saturation - soil-water characteristic curve)). Laboratory data on thickened oil sands tailings are presented and interpreted within the context of the proposed methodology.

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