Groundwater flow modeling of an abandoned mine lands site scheduled for reclamation Robert C.
Download ReportTranscript Groundwater flow modeling of an abandoned mine lands site scheduled for reclamation Robert C.
Groundwater flow modeling of an abandoned mine lands site scheduled for reclamation Robert C. Waddle, CGDA and Department of Geological Sciences, Indiana University Greg A. Olyphant, CGDA and Department of Geological Sciences, Indiana University A tool to evaluate probable outcomes of reclamation design Minnehaha abandoned mine lands site Potentially unstable levee and the contribution of AMD Scheduled for reclamation by the IDNRDOR seep What should reclamation accomplish? Current goals of IDNR-DOR • Want to re-direct AMD away from seep for on-site treatment • Want to lower the water table (levee stability) Do both while minimizing volume of sediment disturbance Why use a groundwater flow model for AML reclamation? Cost effective way to preview hydrologic outcomes under different reclamation scenarios Modeling Approach • Fully 3-dimensional, transient model, incorporates effects of local topography • Treats the groundwater system as a whole (specifically the unsaturated-saturated zone as a continuum) • Any configuration of boundary conditions Theory: Darcy’s Law and Mass Balance Freeze (1971) K = hydraulic conductivity C = specific moisture capacity θ = volumetric moisture content ψ = pressure head, where h = ψ + z ρ and ε are the density and compressibility of water η and β are the porosity and compressibility of the porous media Unsaturated Hydraulic Parameters van Genuchten (1980) effective saturation van Genuchten characteristic equation parameters: K0 n θs θr and m=1-1/n L assumed to be ½ hydraulic conductivity specific moisture capacity Solution Method Implicit finite-difference approximation Block-centered nodal grids with variable size Surface boundary condition driven by time-dependent meteorological data Freeze (1971) upper boundary (ground surface) 142.3 m 125.6 m 129.3 m ∆x = ∆y = 5.0m ∆z = 1.0m, 0.5m Total grid cells = 2,408,000 lower boundary (clay) 124.2 m Monitoring wells, sediment types, and boundary conditions Calibration Procedure Weather driven transient simulations • Initial K0 estimates obtained from slug and pumping test data and van Genuchten parameters from literature • Started with most sensitive parameter (K0) then proceed with other parameters • Vary hydraulic parameter values until minimum RMSE (simulated and observed water levels) for a period of 50 days Calibration Results Model Parameters K0 (cm/s) α (cm-1) n θs θr RMSE (m) 1.0E-03 0.035 3.18 0.375 0.053 0.505 Model Parameters K0 (cm/s) α (cm-1) n θs θr RMSE (m) 5.0E-4 0.035 3.18 0.375 0.053 0.296 Model Parameters K0 (cm/s) α (cm-1) n θs θr RMSE (m) 5.0E-04 0.025 2.25 0.46 0.065 0.195 Resolved flow at water table: current Proposed Valley Network Main segment follows existing ditch Three additional branches extending toward levee Graded at 1:500 down to Mud Creek elevation (NW) 35,000 cubic meters sediment excavation Resolved flow at water table: valley network Difference in pre and post reclamation water tables Fine-grained refuse average water table pre: 130.7 m post: 129.7 m Conclusion • Study shows that an appropriate GW model can predict the probable outcomes of reclamation experiments • In this case, it appears that a simple construction implementation could accomplish the goals of reclamation as specified by the IDNR-DOR • Currently exploring additional applications of this model to the hydrology of reclamation sites. QUESTIONS? Acknowledgements Funding for this project was provided through a contract with the Indiana Department of Natural Resources – Division of Reclamation. The contributions of Dr. Sally Letsinger (GIS analysis), John T. Haddan (field work) Center for Geospatial Data Analysis, Indiana Geological Survey are especially appreciated. Blackfoot Example Models • MODFLOW (USGS): 2D (quasi-3D), heterogeneous, saturated, numerical • GFLOW: 2D, homogeneous, saturated, analytical element model • Freeze (1971): fully 3D, heterogeneous, sat/unsat, numerical References Freeze, R. A. 1971. Three-dimensional, transient, saturated-unsaturated flow in a groundwater basin. Water Resources Research 7(2), 347-365. van Genuchten, M. T. 1980. A closed-form equation for predicting the hydraulic properties of unsaturated soils. Soil Science Society of American Journal 44, 892898. Schaap, M.G., J.L. Feike, and M.T. van Genuchten. 2000. Estimation of the soil hydraulic properties. In: Looney, B.B., Falta, R.W. (Eds.), Vadose Zone: Science and Technology Solutions, vol. 1. Battelle Press, Columbus, OH, pp. 501-509. Equations K ( ) K ( ) K ( ) 1 C ( ) x x y y z t z 𝜕 𝜕𝛹 𝜕 𝜕𝛹 𝜕 𝐾 𝛹 + 𝐾 𝛹 + 𝐾 𝛹 𝜕𝑥 𝜕𝑥 𝜕𝑦 𝜕𝑦 𝜕𝑧 𝜕𝜃 𝑚𝑛𝛼 𝑛 ∙ 𝜃𝑠 − 𝜃𝑟 ∙ 𝛹 𝐶 𝛹 = = 𝜕𝛹 1 + 𝛼𝛹 𝑛 2 𝑛−1 𝜕𝛹 +1 𝜕𝑧 1 1 + 𝛼𝛹 𝜌𝜃 𝛹 = 𝜀 + 𝜂𝛽 + 𝜌𝐶 𝛹 𝜂 𝑚−1 𝑛 𝜕𝛹 𝜕𝑡 More Equations 𝜃 𝛹 − 𝜃𝑟 1 𝑆𝑒 = = 𝜃𝑠 − 𝜃𝑟 1 + 𝑎𝛹 𝐾 𝛹 = 𝐾0 𝑆𝑒 𝐿 1 − 1 − 𝑆𝑒 𝑚 𝑛 2 1 𝑚 𝑚 𝜕𝜃 𝑚𝑛𝑎𝑛 ∙ 𝜃𝑠 − 𝜃𝑟 ∙ 𝛹 𝐶 𝛹 = = 𝜕𝛹 1 + 𝑎𝛹 𝑛 2 𝑛−1 1 1 + 𝑎𝛹 𝑚 −1 𝑛 K = 10-3 cm/s n = 3.18 α = 0.035 cm-1 θs = 0.375 θr = 0.053 Tailings Gob Soil "clayey" Theta_s (poros) 0.46 0.42 0.48 Theta_r 0.065 0.053 0.09 alpha 0.025 0.03 0.011 n 2.25 1.9 1.53 K0 5.00E-04 7.50E-03 1.00E-05 Resolved flow at water table: valley network