download pdf version of PhD book - Universiteit Utrecht
download pdf version of PhD book - Universiteit Utrecht
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6.1 Introduction<br />
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />
high-saturation range increased non-linearly with decrease in saturation down<br />
to a critical saturation, S cr , when dispersivity started to decrease with further<br />
decrease in saturation. The maximum dispersivity, α max = 1.13 cm, occurred<br />
at a saturation <strong>of</strong> S cr = 0.43.<br />
Toride et al. [2003] have studied hydrodynamic dispersion in non-aggregated<br />
dune sand to minimize the effect <strong>of</strong> immobile water. Experiments at unitgradient<br />
flow (i.e., the water velocity is equal to the unsaturated conductivity)<br />
were conducted to measure solute BTCs under steady-state flow conditions.<br />
Transport parameters for the ADE and the mobile-immobile model (MIM) were<br />
determined by fitting analytical solutions to the observed BTCs. They found<br />
the maximum dispersivity, α max , <strong>of</strong> 0.97 cm occurring at S cr = 0.40, whereas<br />
for saturated flow, dispersivity was equal to 0.1 cm, irrespective <strong>of</strong> pore-water<br />
velocity, (which ranged from 2.08 to 58.78 m/d). The BTCs for unsaturated<br />
flow showed considerable tailing compared with the BTCs for saturated flow.<br />
This was also observed by Gupta et al. [1973] and Krupp and Elrick [1968].<br />
The ADE described the observed data better for saturated than for unsaturated<br />
conditions. Similar results were obtained by Padilla et al. [1999] for an<br />
unsaturated sand with a mean particle size <strong>of</strong> 0.25 mm.<br />
Since pore channels inside the porous medium are interconnected, solute particles<br />
moving in different channels may meet after traveling different distances,<br />
resulting in mixing <strong>of</strong> the solute. Hence, mixing length theory could be applied<br />
to dispersion phenomena in a porous medium. Using mixing length theory,<br />
Matsubayashi et al. [1997] found that, under unsaturated conditions, the dispersion<br />
coefficient increases more rapidly with pore-water velocity compared to<br />
saturated conditions, resulting in higher values <strong>of</strong> dispersivity. The dispersion<br />
coefficient was expressed as [Matsubayashi et al., 1997]:<br />
D (θ, v) = lσ vel = lc v (θ)v (6.3)<br />
where l [L] is the mixing length, σ vel is the standard deviation <strong>of</strong> the porewater<br />
velocity, v is the average velocity, and c v is the coefficient <strong>of</strong> variation <strong>of</strong><br />
pore-water velocity, defined as<br />
c v = σ vel<br />
v<br />
=<br />
(<br />
v<br />
′2 ) 1 2<br />
v<br />
(6.4)<br />
where, v ′<br />
≈ overlinev − v and v, is the micro-scale pore-water velocity. They<br />
found an increase in dispersivity with a decrease in saturation, down to a critical<br />
saturation (S cr ), beyond which the value <strong>of</strong> dispersivity was almost constant<br />
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