Improved Numerical Modeling of Groundwater Flow and Transport at the MADE-2 Site.

Abstract

Public domain computer programs were used to attempt an improved model of the tritium plume observed during Macrodispersion Experiment 2 (MADE-2), a field scale natural gradient experiment conducted at Columbus Air Force Base, Mississippi. A computational grid having 66 rows, 21 columns, and 9 layers was used. The finite difference program MODFLOW was used to simulate the flow of groundwater through a 330 m x 105 m computational domain. Solutions for the 468 day experiment were obtained using a Sun Sparcstation 2 for several choices of convergence and storage parameters. The simulations had small mass balance errors and were consistent with continuous head observations. The smallest storage coefficients gave the best agreement. The flow model is about as accurate as the data permit. Tritium plume simulations used the mixed Lagrangian-Eulerian finite difference program MT3D to solve the contaminant transport equation using the MODFLOW-predicted flow field. Thirteen runs were made using various advection algorithms and dispersivities, but none was successful. Numerical instabilities or grossly unrealistic predictions ended every run by simulation day 141. Further work is needed to obtain a satisfactory plume prediction. (AN)

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1995
Accession Number
ADA306092

Entities

People

  • Dale F. Rucker
  • Donald D. Gray

Organizations

  • West Virginia University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Advection
  • Air Force
  • Air Force Facilities
  • Boltzmann Equation
  • Coefficients
  • Computer Programs
  • Computers
  • Databases
  • Environmental Pollutants
  • Environmental Protection
  • Equations
  • Flow
  • Groundwater
  • Simulations
  • Three Dimensional
  • Water Resources
  • West Virginia

Readers

  • Computational Modeling and Simulation
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Groundwater Contamination Remediation.