Abstract
In this study, we develop a saturation-dependent treatment of dispersion in porous media using concepts from critical path analysis, cluster statistics of percolation, and fractal scaling of percolation clusters. We calculate spatial solute distributions as a function of time and calculate arrival time distributions as a function of system size. Our previous results correctly predict the range of observed dispersivity values over ten orders of magnitude in experimental length scale, but that theory contains no explicit dependence on porosity or relative saturation. This omission complicates comparisons with experimental results for dispersion, which are often conducted at saturation less than 1. We now make specific comparisons of our predictions for the arrival time distribution with experiments on a single column over a range of saturations. This comparison suggests that the most important predictor of such distributions as a function of saturation is not the value of the saturation per se, but the applicability of either random or invasion percolation models, depending on experimental conditions.
Original language | American English |
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Article number | 066316 |
Journal | Physical Review E - Statistical, Nonlinear, and Soft Matter Physics |
Volume | 86 |
Issue number | 6 |
DOIs | |
State | Published - Dec 19 2012 |
ASJC Scopus Subject Areas
- Statistical and Nonlinear Physics
- Statistics and Probability
- Condensed Matter Physics
Keywords
- Fractional Advection-Dispersion
- Hydraulic Conductivity
- Solute Transport
- Hydrodynamic Dispersion
- Differential-Equations
- Invasion Percolation
- Anomalous Transport
- Cluster Statistics
Disciplines
- Physics