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Applied numerical modeling of saturated / unsaturated flow and ...

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276<br />

S. Bauer et al.<br />

Table 1 Methods used for calculating first-order rate constants λ. va is the transport velocity, ∆x is the<br />

observation well distance, C(x) is the downstream concentration <strong>and</strong> C0 the source concentration, while<br />

αL <strong>and</strong> αT are the longitudinal <strong>and</strong> transverse dispersivities, WS is the source width <strong>and</strong> erf is the error<br />

function.<br />

Method Formula for degradation rate Description<br />

1<br />

va � C(<br />

x)<br />

�<br />

λ1<br />

= − ln� �<br />

∆x<br />

� �<br />

� C0<br />

�<br />

Analytical solution to 0-D transport equation<br />

(batch reactor)<br />

2<br />

v � ∗ �<br />

a � C(<br />

x)<br />

C0<br />

λ = −<br />

�<br />

2 ln<br />

∆x<br />

� C ∗ �<br />

� 0 C(<br />

x)<br />

�<br />

Concentration normalized to a non-degrading cocontaminant,<br />

thus accounting for dilution <strong>and</strong><br />

dispersion<br />

3<br />

�<br />

2<br />

v<br />

( ) �<br />

a ��<br />

ln C(<br />

x)<br />

C0<br />

�<br />

λ = � − α<br />

� −1�<br />

3 1 2 L<br />

4α<br />

�<br />

�<br />

L ��<br />

∆x<br />

� �<br />

Analytical solution to the 1-D transport equation.<br />

Accounts for longitudinal dispersion.<br />

4<br />

�<br />

2<br />

v<br />

( ) �<br />

a ��<br />

ln C(<br />

x)<br />

( C0β)<br />

�<br />

λ = � − α<br />

� −1�<br />

3 1 2 L<br />

4α<br />

�<br />

�<br />

L ��<br />

∆x<br />

� �<br />

Analytical solution to the 2-D transport equation.<br />

Accounts for longitudinal as well as transverse<br />

dispersion <strong>and</strong> a finite source width.<br />

� �<br />

with: � WS<br />

β = erf �<br />

� �<br />

� 4 αT<br />

∆x<br />

�<br />

first-order degradation; modelling; natural attenuation; virtual reality. The setup is thus<br />

designed to resemble ideal conditions for the application <strong>of</strong> the four methods for<br />

estimating the degradation rate constant. The only uncertainty <strong>and</strong> variability is<br />

introduced by the aquifer heterogeneity. The data used for the centreline method is<br />

thus only the data which can be measured at the three initial <strong>and</strong> the three downstream<br />

wells. Thus neither the mean hydraulic conductivity nor the variance or correlation<br />

length is known.<br />

The four centre-line methods used are provided in Table 1. Method 1 (Wiedemeier<br />

et al., 1996) is the batch solution to a first-order degradation (i.e. no transport is<br />

included). Method 2 was proposed by Wilson et al. (1994) (see also Wiedemeier et al.,<br />

1996) <strong>and</strong> is similar to Method 1, except amended concentrations are used. The<br />

measured concentrations for the reactive contaminant are corrected by using the ratio<br />

<strong>of</strong> the conservative co-contaminant at the observation well. This method corrects for<br />

dispersion <strong>and</strong> measurements taken outside <strong>of</strong> the plume centre-line at the three new<br />

observation wells. Method 3 was proposed by Buscheck & Alcantar (1995) <strong>and</strong> is<br />

based on the solution <strong>of</strong> a one-dimensional (1-D) transport equation with a first-order<br />

decay constant. This method accounts explicitly for longitudinal dispersion <strong>of</strong> the<br />

plume. To account for transverse dispersion (Method 4), Stenback et al. (2004) suggest<br />

using the analytical solution for a 2-D transport equation with first-order decay. In<br />

order to carry out Methods 3 <strong>and</strong> 4, it is required that the longitudinal <strong>and</strong> the transverse<br />

dispersivities be known. The following dispersivities were used according to<br />

Wiedemeier et al. (1999): 0.1 <strong>of</strong> the plume length for the longitudinal dispersivity, <strong>and</strong><br />

0.33 <strong>of</strong> longitudinal dispersivity for the transverse dispersivity. For each <strong>of</strong> the four<br />

approaches, first-order degradation rates were calculated <strong>and</strong> compared to the value<br />

used in generating the plume. For each degree <strong>of</strong> heterogeneity, 100 realizations were<br />

evaluated to obtain a statistical measure <strong>of</strong> the error introduced by the heterogeneity <strong>of</strong>

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