Abstract
Groundwater flow and transport models have been used to assist management of subsurface water resources and water quality. The needs of more efficient use of technical and financial resources have recently motivated the development of more effective remediation techniques and complex models of coupled hydrogeological and biogeochemical processes. We present a high-performance computer model of the coupled processes, HBGC123D. The model uses a hybrid Eulerian-Lagrangian finite element method to solve the solute transport equation and a Newton's method to solve the system of nonlinear, mixed kinetics and equilibrium reaction equations. Application of the model to a laboratory soil column with multispecies tracer injection suggests that one may use the model to derive important parameters of subsurface solute fate and transport. These parameters may be used for predictive purpose in similar field problems. To this end, we present a three-dimensional, hypothetical bioremediation simulation on an aquifer contaminated by CoNTA. The simulation suggests that, using oxygen alone to stimulate the biodegradation of the contaminant, one may reduce the waste to 40% in 10 years. Using a refined mesh of this three-dimensional model, we also conduct a performance study of HBGC123D on an array of SGI Origin 2000 distributed shared-memory processors. Both the computational kernels and the entire model show very good performance up to 32 processors. The CPU time is essentially reduced by 20-fold using 64 processors. This result suggests that HBGC123D may be a useful tool in assisting environmental restoration efforts such as waste site characterization and remediation.
| Original language | English |
|---|---|
| Pages (from-to) | 1231-1242 |
| Number of pages | 12 |
| Journal | Computers and Geosciences |
| Volume | 27 |
| Issue number | 10 |
| DOIs | |
| State | Published - Dec 2001 |
Funding
This research is supported by the Environmental Technology Partnership (ETP) Program of the Office of Biological and Environmental Research, US Department of Energy. The authors would like to thank Dr. Paul Bayer, who is a contract officer for the DOE's ETP program, for financially supporting this research. The authors are also indebted to the National Center for Supercomputing Applications (NCSA) at University of Illinois, Urbana-Champaign, which provided computing facilities for the timing exercise of HBGC123D. We are especially grateful to Dr. Kwai Wong of the Joint Institute for Computational Science at the University of Tennessee, who assisted our access to the computing facilities at NCSA. This research was also supported in part by an appointment to the Oak Ridge National Laboratory Postgraduate Research Program administered jointly by the Oak Ridge Institute for Science and Education and Oak Ridge National Laboratory. The authors are also grateful to the reviewers of the manuscript, who provided valuable input for the content and writing of the paper.
Keywords
- Bioremediation
- Coupled processes
- Flow and transport
- Hydrobiogeochemistry
- Shared-memory parallel computing
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