The capability of characterizing heterogeneous hydraulic parameters
in the subsurface is essential for monitoring and predicting
groundwater resources. Investigating such heterogeneity by
the technique of hydraulic tomograph in basin-scale presents
a for midable challenge. The size of computation
is potentially huge, both due to a 3D domain involving millions of degrees of
freedom, and due to a transient parabolic
partial differential equation (PDE) that needs to be
solved repeatedly, using gradually upda ted coefficients.
Because of the numerical complexity and required PDE software,
the research group led by Prof. Jim Yeh at Dept. Hydrology and Water Resource,
Univ. Arizona wishes to join force with Simula Research Laboratory via Dr. Xing Cai,
who speci alizes in designing efficient numerical methods
for PDEs and implementing PDE software for parallel computing.
The computational strategy for doing trasient hydraulic tomography on parallel
computers is to use the overlapping domain decomposition (DD) ap proach, which
is numerically order-optimal and suits inherently for parallel computing.
However, many challenges exist in this strategy including, among
other things, (1) finding efficient subdomain solvers required in DD, and
(2) implementing the
softw are capable of achieving high computation efficiency on parallel computers.
Moreover, the parallel software developed at Simula must later be
incorporated into a cyberinfrastructure for environmental observatories,
where basin-scale groundwater surveys c an be carried out in future.
The techniques required with respect to software coupling
will thus be investigated in collaboration between Univ.
Arizona and Simula Research Laboratory. In the process of
realizing this long-term goal of building next-genera tion
hydraulic survey systems, it is expected that a number of
doctor-degree students and post-doc researchers will be educated.