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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

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