download pdf version of PhD book - Universiteit Utrecht
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Rao<strong>of</strong>, A. and Hassanizadeh S. M., “Dispersivity under Partially-Saturated Conditions;<br />
Pore-Scale Processes”, prepared for submission to Water Resources Research.<br />
CHAPTER 6<br />
DISPERSIVITY UNDER PARTIALLY-SATURATED<br />
CONDITIONS; PORE-SCALE PROCESSES<br />
Make everything as simple as possible, but not simpler.<br />
Albert Einstein<br />
Abstract<br />
It is known that in unsaturated porous media, the dispersion coefficient depends on<br />
the Darcy velocity and soil water saturation. In 1D flow, it is commonly assumed<br />
that the dispersion coefficient is a linear function <strong>of</strong> velocity with the coefficient <strong>of</strong><br />
proportionality being the dispersivity. However, there is not much known about its<br />
dependence on saturation. The purpose <strong>of</strong> this study is to investigate how the longitudinal<br />
dispersivity varies non-linearly with saturation using a pore network model. We<br />
discretize the porous medium as a network <strong>of</strong> pore bodies and pore throats <strong>of</strong> finite<br />
volumes. The pore space is modeled using a MDPN which allows for a distribution<br />
<strong>of</strong> coordination numbers ranging between zero and 26.<br />
This topological, property<br />
together with geometrical distributions, are used to mimic the microstructure <strong>of</strong> real<br />
porous media. The dispersivity was calculated by solving the mass balance equations<br />
for solute concentration in all network elements and averaging the concentrations over<br />
a large number <strong>of</strong> pores.<br />
We have introduced a new formulation <strong>of</strong> solute transport within a pore network<br />
which helps to capture the effect <strong>of</strong> limited mixing within the pores under partiallysaturated<br />
conditions. This formulation allows a very detailed description <strong>of</strong> solute<br />
transport processes within the pores by accounting for limitations in mixing within<br />
drained pore bodies and pore throats as a result <strong>of</strong> reduced water content. We found<br />
that dispersivity increases with the decrease in saturation, reaches a maximum value,<br />
and then decreases with further decrease in saturation.