A new breed of innovative ground water modeling

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Sparse data is a critical obstacle in every ground water remediation project. Lack of data necessitates non-unique interpolations that can distort modeled distributions of contaminants and essential physical properties (e.g., permeability, porosity). These properties largely determine the rates and paths that contaminants may take in migrating from sources to receptor locations. We apply both forward and inverse model estimates to resolve this problem because coupled modeling provides the only way to obtain constitutive property distributions that simultaneously simulate the flow and transport behavior observed in borehole measurements. Innovations in multidimensional modeling are a key to achieving more effective subsurface characterizations, ... continued below

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10 p.

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Gelinas, R.J.; Doss, S.K.; Ziagos, J.; McKereghan, P.; Vogele, T. & Nelson, R.G. July 1, 1995.

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Description

Sparse data is a critical obstacle in every ground water remediation project. Lack of data necessitates non-unique interpolations that can distort modeled distributions of contaminants and essential physical properties (e.g., permeability, porosity). These properties largely determine the rates and paths that contaminants may take in migrating from sources to receptor locations. We apply both forward and inverse model estimates to resolve this problem because coupled modeling provides the only way to obtain constitutive property distributions that simultaneously simulate the flow and transport behavior observed in borehole measurements. Innovations in multidimensional modeling are a key to achieving more effective subsurface characterizations, remedial designs, risk assessments, and compliance monitoring in efforts to accelerate cleanup and reduce costs in national environmental remediations. Fundamentally new modeling concepts and novel software have emerged recently from two decades of research on self-adaptive solvers of partial differential equations (PDEs). We have tested a revolutionary software product, PDEase, applying it to coupled forward and inverse flow problems. In the Superfund cleanup effort at Lawrence Livermore National Laboratory`s (LLNL) Livermore Site, the new modeling paradigm of PDEase enables ground water professionals to simply provide the flow equations, site geometry, sources, sinks, constitutive parameters, and boundary conditions. Its symbolic processors then construct the actual numerical solution code and solve it automatically. Powerful grid refinements that conform adaptively to evolving flow features are executed dynamically with iterative finite-element solutions that minimize numerical errors to user-specified limits. Numerical solution accuracy can be tested easily with the diagnostic information and interactive graphical displays that appear as the solutions are generated.

Physical Description

10 p.

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INIS; OSTI as DE96000394

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  • ER `95: environmental remediation conference: committed to results, Denver, CO (United States), 13-18 Aug 1995

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  • Other: DE96000394
  • Report No.: UCRL-JC--120613
  • Report No.: CONF-950868--19
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 109662
  • Archival Resource Key: ark:/67531/metadc624280

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  • July 1, 1995

Added to The UNT Digital Library

  • June 16, 2015, 7:43 a.m.

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  • Feb. 19, 2016, 8:23 p.m.

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Gelinas, R.J.; Doss, S.K.; Ziagos, J.; McKereghan, P.; Vogele, T. & Nelson, R.G. A new breed of innovative ground water modeling, article, July 1, 1995; California. (digital.library.unt.edu/ark:/67531/metadc624280/: accessed December 15, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.