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download pdf version of PhD book - Universiteit Utrecht

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7. Adsorption under Partially-Saturated Conditions<br />

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .<br />

ncentration [‐]<br />

Co<br />

1<br />

0.1<br />

0.01<br />

Network model<br />

0.001<br />

ADE<br />

0.0001<br />

0.0 50.0 100.0 150.0<br />

Time [min]<br />

Figure 7.7: The resulting BTC from the network together with the BTC<br />

obtained using the ADE model. Dispersion coefficient values obtained from the<br />

fit to the computed BTCs.<br />

coefficient as a function <strong>of</strong> saturation for a network with micro-scale distribution<br />

coefficient equal to 1.0.<br />

Figure 7.8: Calculated and fitted values <strong>of</strong> macro-scale distribution coefficient,<br />

K D, as a function <strong>of</strong> saturation.<br />

Figure (7.8) shows an increase in the macro-scale distribution coefficient, K D ,<br />

with decrease in saturation, (for a constant micro-scale distribution coefficient<br />

equal to 1.0) resulting from the increase in average specific surface area with<br />

decrease in saturation. There is better agreement between the calculated and<br />

fitted K D values at higher saturations.<br />

We also use a non-equilibrium formulation for describing the macro-scale behavior<br />

<strong>of</strong> the adsorptive solute. We use the same BTCs computed from the<br />

174

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