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The movement and dispersion of groundwater solutes is controlled, to
a large extent, by the heterogeneity of the aquifer hydraulic conductivity
(K) field. Therefore, a means of quantifying spatial variability of the
hydraulic conductivity field is essential for the application of solute
transport models to practical problems. However, for a typical groundwater
modeling effort, K values must be assigned based on just a few point measurements
(for example, an aquifer volume of 10 km3 described by, at best, a few
hundred measurements) due to the high cost of obtaining accurate K data.
Therefore, a great need exists for a means of accurately estimating the
K field, which has been found to vary as much as 6 orders of magnitude
at some sites.

We used statistical spatial analyses to analyze the variability
of K. We found that K could be treated as a multifractal for some fields.

Logarithm of the vertical structure function for Borden.
Scaling is observed from 0.05 m up to 0.5 m after which periodicity dominates.

Effect of the a parameter on
generated multifractal fields for c1=0.1 and H=0.0. The field becomes
sparse as a decreases.
Because the measurements of K are costly, we explored analyzing
surrogate quantities of K, such as the electrical conductivity and the
K-40 gamma radiation.

Geophysical data from the Oak Ridge facility.

Logarithm of the east-west structure functions for the
electric conductivity data. Scaling is observed from 100 ft to 6000 ft,
close to the maximum range.
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