GEOSTATS: ANN: Preferential Pathway Identification by Simulated Annealing Paper available on web
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to view the paper indicated below. The paper has been submitted to Water
Identifying Potential Preferential Paths for Subsurface Contaminant
Alaa Ibrahim Ali and Upmanu Lall
Utah Water Research Lab. and Dept. of Civil and Environmental Eng.,
Utah State University, Logan UT 84322-8200
Connected zones of high hydraulic conductivity in subsurface environments
can constitute preferential pathways for contaminant transport and fluid
identification of such pathways is important for well head protection,
groundwater monitoring and capture system design for groundwater
remediation. Since it is
not practical to exhaustively sample the subsurface, the existence and
probable extent and location of such paths must be inferred from available
data. Bore hole
logs are the primary source of subsurface data considered here. A
stochastic simulator is used to generate realizations of subsurface soil
attributes inferred from
these data on to a lattice. Measures of connectivity between any two
locations in the aquifer are introduced. These measures reflect potential
travel time between
lattice locations under an assumption of a unit hydraulic gradient along
each candidate connected path. A preferential pathway between any two
points in the
aquifer is then defined as one with the highest degree of connectivity
(i.e., lowest potential travel time). A simulated annealing algorithm is
used to identify
potential preferential pathways between any two prescribed points in the
aquifer for each realization. Simulated annealing proceeds by generating a
random connected paths between the two points of interest. The objective
function is evaluated as the potential travel time for each candidate path.
pathways are identified as connected paths with minimal potential travel time.
Professor, Civil and Environmental Engineering
Associate Director, Utah Water Research Laboratory
Utah State University
Logan UT 84322-8200
Phone: 801-797-3184 FAX: 801-797-3663
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