A numerical study of soil cover performance.
In the investigation of soil cover design options for final decommissioning of reactive mine waste, it is often necessary to analyze or predict the anticipated cover performance as a function of the cost of implementation, which is governed by the type, number and thickness of the layers in the cover system. An example of such investigation is presented in this study where one-dimensional evaporation from hypothetical moisture-retaining cover systems is simulated to assess the influence of several cover properties and hydrogeologic parameters on performance. The commercially available transient flow model, SoilCover, was used to compute suction and water content profiles for different cover design scenarios. The predicted water content profile and porosity of layers were then used to estimate the oxygen diffusion coefficients of the various layers. The oxygen diffusion coefficients were used to estimate oxygen flux through the cover systems. The oxygen flux was, in turn, related to the maximum acid flux. The studied cover and hydrogeologic parameters included soil type, thickness of barriers, and water table elevation. Two types of infiltration and oxygen barrier and two types of capillary layer with different thicknesses were studied. The water table was either kept constant at the base of the waste (tailings) or dropped by 0.5, 1, 2, and 3m over 120 days. The results showed that the relationship between water table depression and the thickness of capillary layers, on one hand, and desaturation of the infiltration and oxygen barrier, on the other, is not linear. Relationships between oxygen flux and barrier thickness and between cost increase and performance improvement of the studied cover systems are presented. Finally, a method that outlines steps for site-specific and economically feasible design of multi-layer cover systems is introduced.
Yanful
Ernest K
EK
Geotechnical Research Centre, Department of Civil and Environmental Engineering, The University of Western Ontario, London, ON, Canada. eyanful@eng.uwo.ca
Morteza Mousavi
S
S
De Souza
Lin-Pei
LP
D011232:Chemical Precipitation; D004058:Diffusion; D004787:Environmental Pollution / Q000517:prevention & control; D005160:Facility Design and Construction; D008962:Models, Theoretical; D010100:Oxygen / Q000737:chemistry*; D010316:Particle Size; D012037:Refuse Disposal / Q000191:economics / Q000379:methods*; D012987:Soil / Q000032:analysis*; D012989:Soil Pollutants / Q000032:analysis
D012987:Soil; D012989:Soil Pollutants; D010100:Oxygen