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

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structure. Four different cases with increasing heterogeneity, i.e. ln(K) variances σY 2 <strong>of</strong> 0.38, 1.71, 2.7<br />

<strong>and</strong> 4.5, respectively, are considered in this study, representing mildly to highly heterogeneous<br />

conductivity fields. The parameters lY <strong>and</strong> σY 2 =0.38 are taken from the Borden field site (Sudicky,<br />

1986); the value <strong>of</strong> 1.71 was found at the Testfeld Süd in southern Germany (Herfort, 2000); the<br />

values <strong>of</strong> 2.7 <strong>and</strong> 4.5 were reported for the Columbus Air Force Base site (Rehfeldt et al., 1992). A<br />

constant porosity n <strong>of</strong> 0.33 is used, resulting in a mean <strong>flow</strong> velocity va <strong>of</strong> 1.16·10 −5 ms −1 . For each<br />

<strong>of</strong> the four degrees <strong>of</strong> heterogeneity, ensembles <strong>of</strong> 100 realizations <strong>of</strong> the r<strong>and</strong>om field are generated<br />

by unconditional Gaussian simulation. The Monte-Carlo strategy is chosen in order to obtain<br />

statistical measures <strong>of</strong> the errors <strong>and</strong> uncertainties introduced by the heterogeneity <strong>of</strong> K. Plumes <strong>of</strong><br />

the three compounds are generated in each virtual aquifer using a process based <strong>numerical</strong> <strong>flow</strong> <strong>and</strong><br />

reactive transport model. The GeoSys/RockFlow simulation code (Kolditz et al., 2004)isusedhere,<br />

which solves the <strong>flow</strong> <strong>and</strong> transport equations by finite element methods. The governing equations<br />

are given as (e.g. Bear, 1972; Kolditz, 2002):<br />

jðKjhÞ ¼0 ð11Þ<br />

∂C<br />

∂t ¼ −vajC þ jðDjCÞ−C ð12Þ<br />

with h as the piezometric height, K the tensor <strong>of</strong> hydraulic conductivity, C concentration, D the<br />

dispersion tensor, t time <strong>and</strong> Γ a sink term representing first order or MM degradation kinetics. For<br />

local dispersivities αL <strong>and</strong> αT values <strong>of</strong> 0.25 m <strong>and</strong> 0.05 m were used. Details <strong>of</strong> <strong>numerical</strong> <strong>and</strong><br />

s<strong>of</strong>tware issues can be found in Kolditz (2002) <strong>and</strong> Kolditz <strong>and</strong> Bauer (2004). All model parameters<br />

are summarized in Table 4.<br />

5. Investigation <strong>of</strong> the synthetic plumes<br />

The steady state contaminant plumes in each virtual aquifer are investigated by the center line<br />

method (see Fig. 2). Initially three observation wells are present in the aquifer (Fig. 2 (a)), one being<br />

located directly in the source in the center <strong>of</strong> the aquifer (full circle) at [13.0 m; 32.0 m], showing<br />

high concentrations. This setup is the starting point for the investigation <strong>of</strong> all realizations. The initial<br />

knowledge on the site comprises only the hydraulic heads at the three wells. The full concentration,<br />

Table 4<br />

Model parameters used in the <strong>numerical</strong> simulations<br />

Parameter Value<br />

Kef Effective conductivity 7.19·10 − 5 − 1<br />

ms<br />

σY 2<br />

ln(K)-variance 0, 0.38, 1.71, 2.7, 4.5<br />

lY Integral scale 2.67 m<br />

n Porosity 0.33<br />

I Hydraulic gradient 0.053<br />

αL Longitudinal dispersivity 0.25 m<br />

α T Transverse dispersivity 0.05 m<br />

λ First order degradation rate constant 5.87·10 − 7 − 1<br />

s<br />

kmax<br />

Maximum degradation velocity a<br />

1.45·10 − 7 − 1<br />

s<br />

MC<br />

C. Beyer et al. / Journal <strong>of</strong> Contaminant Hydrology 87 (2006) 73–95<br />

Half saturation concentration a<br />

a In normalized units, see explanation in the text.<br />

0.0497<br />

81

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