Talk Abstract:
Remedial Math: Mathematical Remedies for Remediation Technology
Bryan
Travis
Earth & Environmental Sciences Division
EES-5/MS-F665
Los Alamos National Laboratory
Los Alamos, NM 87545
bjt@vega.lanl.gov
Environmental contaminants in the subsurface include organics,
heavy metals and radionuclides. There are several ways to remediate
these contaminants: removal and cleaning of affected soils,
geologic storage (such as Yucca Mountain for radionuclides),
chemical in situ conversion or immobilization, and degradation
or immobilization by soil microbes. Mathematical analysis and
computer simulation have proved useful in design of remediation
strategies and in evaluation of their performance. Effective
as the present generation of modeling efforts have been, though,
there is still much room for improvement, from creating more
accurate conceptual models based on better understanding of
underlying physical processes, to developing better analysis
tools and more efficient numerical solvers. These matters are
discussed within the context of in situ bioremediation modeling.
A partial list of needs in that field include: more efficient
multiphase flow algorithms for governing equations that change
type over time in different parts of a domain; similarity methods,
and regular and singular perturbation analysis of systems consisting
of three or more coupled pdes (these would be helpful in verifying
numerical solutions of complex nonlinear systems); solution
methods for reactive systems which exhibit a range of time scales;
biofilm structure and its interaction with the larger scale
flow; exopolymers and particulates; microbial ecology, e.g.,incorporation
of hierarchical features such as predator-prey chains; other
pore scale processes, such as reactions at grain surfaces, and
the feedback of dissolution/ precipitation/film growth to porosity
and permeability. There are also constrained minimization problems,
which encompass optimization, sensitivity analysis and inversion.
Further, multi-scale, stochastic representations of soil/rock
properties are more appropriate than deterministic, but the
state of the art in solving stochastic partial differential
equations, especially coupled nonlinear equations describing
transport and reaction in realistic geologic stratigraphy, is
still primitive, but full of opportunity.
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Confinement and Remediation of Environmental Hazards
1999-2000
Reactive Flow and Transport Phenomena
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