Adaptive Groundwater Tutorials

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Tutorial 1: Getting Started
Provide an overview of the main menu options for Adaptive Groundwater (AGW) (e.g., grid design, basic boundary condition specification, time step control, etc.) and create an input data file for a basic example solute transport problem: three-dimensional advection-dispersion of a Gaussian plume in a uniform groundwater flow field.

Tutorial 2: Initial-Condition Plume by Gaussian Puff Superposition and Results Visualization

Illustrate the generation of non-uniform, initial-condition plumes by superposition of multiple Gaussian-shaped “puffs”.

Tutorial 3: Correlated Random Hydraulic Conductivity Field

Illustrate the generation of a three-dimensional, correlated random hydraulic conductivity field (K).

Tutorial 4: Linear and Uniform Boundary Conditions
Illustrate the specification of hydraulic head and solute concentration boundary conditions using the “linear” and “uniform” B.C. options.

Tutorial 5: River and Lake Boundary Conditions
Illustrate the incorporation of river and lake (leaky-type) boundary conditions.

Tutorial 6: Pumping Well and River
Illustrate the incorporation of a pumping well in combination with a river boundary condition.

Tutorial 7: Water Table and Bedrock Surface
Illustrate the incorporation of saturated thickness variations caused by a bedrock unit (i.e., lower confining unit) and water table (i.e., unconfined aquifer) using the high-resolution material zone layer capability of the program. This capability is also utilized in Tutorial 8 to develop a high resolution representation of a thin regional clay layer separating two sand units.

Tutorial 8: High-Resolution Material Zone Layers
Illustrate the incorporation of a thin regional clay layer using the high-resolution material zone layering capability of the program. With this option the spatial resolution of the material layers is automatically adjusted, and layer-averaged hydraulic conductivities (K) are computed, to be consistent with the grid resolution. The approach is similar to that used for representing a random K field on multiple levels of grid refinement (e.g., refer to Tutorial 3). This capability is also utilized in Tutorial 7 to develop high-resolution representations of a water table and bedrock surface.

Tutorial 9: Changing the Global Grid Resolution
Demonstrate how easily the global grid resolution can be varied without changing the boundary condition and other input data specifications.

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