Abstract
Recently, we developed an alternative CTRW formulation which uses a
"latching" upscaling scheme to rigorously map continuous or fine-scale
stochastic solute motion onto discrete transitions on an arbitrarily
coarse lattice (with spacing potentially on the meter scale or more).
This approach enables model simplification, among many other things.
Under advection, for example, we see that many relevant anomalous
transport problems may be mapped into 1D, with latching to a sequence of
successive, uniformly spaced planes. On this formulation (which we term
RP-CTRW), the spatial transition vector may generally be made
deterministic, with CTRW waiting time distributions encapsulating all
the stochastic behavior. We demonstrate the excellent performance of
this technique alongside Pareto-distributed waiting times in explaining
experiments across a variety of scales using only two degrees of
freedom. An interesting new application of the RP-CTRW technique is the
analysis of radial (push-pull) tracer tests. Given modern computational
power, random walk simulations are a natural fit for the inverse problem
of inferring subsurface parameters from push-pull test data, and we
propose them as an alternative to the classical type curve approach. In
particular, we explore the visibility of heterogeneity through
non-Fickian behavior in push-pull tests, and illustrate the ability of a
radial RP-CTRW technique to encapsulate this behavior using a sparse
parameterization which has predictive value.
Original language | English GB |
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Journal | Geophysical Research Abstracts |
Volume | 23 |
State | Published - 1 Dec 2014 |
Externally published | Yes |
Keywords
- 1805 Computational hydrology
- HYDROLOGY
- 1829 Groundwater hydrology
- 1832 Groundwater transport
- 1847 Modeling