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

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conceptional<br />

model error:<br />

wrong process<br />

description<br />

10<br />

measurement<br />

error<br />

resulting<br />

investigation error<br />

conceptual site model<br />

investigation<br />

virtual aquifer<br />

Fig. 5: Virtual aquifer concept <strong>and</strong> possible sources <strong>of</strong> investigation error.<br />

An application <strong>of</strong> the VA concept requires<br />

the definition <strong>of</strong> a synthetic site model <strong>and</strong><br />

its translation into a <strong>numerical</strong> model for<br />

the simulation <strong>of</strong> the identified relevant processes.<br />

Synthetic site models are generated<br />

based on statistical properties <strong>of</strong> natural<br />

aquifers. A defined contaminant source is<br />

then introduced <strong>and</strong> the evolution <strong>of</strong> aquifer<br />

contamination is simulated by <strong>numerical</strong><br />

<strong>modeling</strong>, thus generating a realistic<br />

contaminant distribution in the synthetic<br />

aquifer. In comparison to the "real world",<br />

the unique advantage <strong>of</strong> the synthetic aquifer<br />

is that the spatial distribution <strong>of</strong> all<br />

physical <strong>and</strong> geochemical properties <strong>and</strong><br />

parameters as well as contaminant concentrations<br />

are exactly known. Once the<br />

synthetic contaminated aquifer is generated,<br />

it can be studied by st<strong>and</strong>ard monitoring<br />

<strong>and</strong> investigation techniques, e.g. by emplacement<br />

<strong>of</strong> observation wells. Although<br />

the parameter distribution <strong>of</strong> the synthetic<br />

aquifer is known a priori, only the data<br />

“measured” at wells (i.e. hydraulic heads or<br />

concentrations) are used <strong>and</strong> interpreted.<br />

This is done because in a real site investigation<br />

also only a limited amount <strong>of</strong> measured<br />

data would be available. Finally, the results<br />

are compared to the “true” parameter distribution<br />

known from the synthetic aquifer,<br />

allowing an evaluation <strong>of</strong> the accuracy <strong>of</strong><br />

the investigation method used. Using the<br />

VA concept, sources <strong>of</strong> uncertainty or error<br />

can be considered individually <strong>and</strong> the<br />

heterogeneity:<br />

incomplete or<br />

wrong description<br />

<strong>of</strong> parameter<br />

distribution<br />

sensitivity <strong>of</strong> investigation results on these<br />

can be studied. Stochastic approaches like<br />

the Monte-Carlo method are applied to<br />

study the propagation <strong>of</strong> parameter variability<br />

<strong>and</strong> uncertainty into the investigation<br />

results. The VA has been first introduced<br />

by Schäfer et al. (2002) <strong>and</strong> was applied by<br />

Schäfer et al. (2004, 2006b), Bauer <strong>and</strong><br />

Kolditz (2006), Bauer et al. (2005 [EP 1];<br />

2006a [EP 2], 2007 [EP 4]) <strong>and</strong> Beyer et al.<br />

(2006 [EP 3], 2007a [EP 5]). An overview<br />

<strong>of</strong> VA applications is given in Bauer et al.<br />

(2006b) <strong>and</strong> Schäfer et al. (2006a).<br />

Fig. 6: Virtual investigation <strong>of</strong> a heterogeneous<br />

contaminant plume by the center<br />

line method (Bauer et al., 2005 [EP 1]).<br />

The VA concept is used here to study errors<br />

<strong>and</strong> uncertainties in degradation rate constants<br />

estimated from data typically collected<br />

by site investigation with the so called

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