download pdf version of PhD book - Universiteit Utrecht
download pdf version of PhD book - Universiteit Utrecht
download pdf version of PhD book - Universiteit Utrecht
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CHAPTER 8<br />
EFFICIENT FULLY IMPLICIT SCHEME FOR<br />
MODELING OF ADSORPTIVE TRANSPORT;<br />
(PARTIALLY-) SATURATED CONDITIONS<br />
Bad times have a scientific value. These are<br />
occasions a good learner would not miss.text<br />
Ralph Waldo Emerson<br />
Abstract<br />
Pore network modeling has been widely used to study variety <strong>of</strong> flow and transport<br />
processes in porous media. To do so, equations <strong>of</strong> mass balance should be<br />
discretize to be used within network elements. Different formulations <strong>of</strong> solute transport<br />
within the pore-network model have been introduces in the literature for the<br />
case <strong>of</strong> saturated conditions. However, there are much less studies under partially<br />
saturated conditions. Under partially saturated conditions the system contains three<br />
phases: air, water, and solid. The principal interactions usually occur at the solidwater(SW)<br />
interfaces and air-water(AW) interfaces, thus greatly influenced by water<br />
content. In this chapter, we introduce a fully implicit numerical scheme for transport<br />
<strong>of</strong> adsorptive solute under (partially-) saturated conditions, undergoing both/either<br />
equilibrium and/or kinetic types <strong>of</strong> adsorption. We have considered absorption to<br />
the SW as well as AW interfaces.<br />
The numerical scheme is developed based on<br />
the assumption that porous media is composed <strong>of</strong> a network <strong>of</strong> pore bodies and pore<br />
throats, both with finite volumes. While under saturated conditions we have assigned<br />
one concentrations to a pore body or pore throat, under unsaturated conditions we<br />
assign separate concentrations to each edge <strong>of</strong> a drained pore body or pore throat.<br />
Through applying an efficient numerical algorithm, we have reduced the size <strong>of</strong> system<br />
<strong>of</strong> linear equations by a factor <strong>of</strong> at least three, which significantly decreases the