HBGC123D: a high-performance computer model of coupled hydrogeological and biogeochemical processes

    Authors

    J. P. Gwo; E. F. D'Azevedo; H. Frenzel; M. Mayes; G. T. Yeh; P. M. Jardine; K. M. Salvage;F. M. Hoffman

    Comments

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    Abbreviated Journal Title

    Comput. Geosci.

    Keywords

    hydrobiogeochemistry; coupled processes; bioremediation; shared-memory; parallel computing; flow and transport; REACTIVE CHEMICAL-TRANSPORT; MASS-TRANSPORT; EQUILIBRIUM CHEMISTRY; HYDROTHERMAL SYSTEMS; GROUNDWATER-FLOW; SOLUTE TRANSPORT; PERMEABLE; MEDIA; NUMERICAL-MODEL; ION-EXCHANGE; POROUS-MEDIA; Computer Science, Interdisciplinary Applications; Geosciences, ; Multidisciplinary

    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. (C) 2001 Elsevier Science Ltd. All rights reserved.

    Journal Title

    Computers & Geosciences

    Volume

    27

    Issue/Number

    10

    Publication Date

    1-1-2001

    Document Type

    Article

    Language

    English

    First Page

    1231

    Last Page

    1242

    WOS Identifier

    WOS:000171350300010

    ISSN

    0098-3004

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