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

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The process object has access to all<br />

required data structures <strong>and</strong> functions, <strong>and</strong><br />

thus is self configuring, executing <strong>and</strong><br />

destructing.<br />

Contaminant transport problems usually<br />

involve a number <strong>of</strong> different processes as<br />

outlined in sections 2.1 – 2.3. The resulting<br />

multi-field problems can be approached by<br />

a multi-process algorithm, where one instance<br />

<strong>of</strong> the process object is created for<br />

each process considered. Solution <strong>of</strong> any<br />

number <strong>of</strong> <strong>flow</strong> or transport equations is<br />

fully automatic <strong>and</strong> encapsulated, guaranteeing<br />

high efficiency <strong>and</strong> flexibility.<br />

In GeoSys / Rock<strong>flow</strong> <strong>saturated</strong> <strong>and</strong> un<strong>saturated</strong><br />

<strong>flow</strong> as well as conservative transport<br />

are solved using st<strong>and</strong>ard Galerkin FE. A<br />

non-iterative operator splitting technique<br />

for the coupling <strong>of</strong> conservative transport<br />

<strong>and</strong> (bio-)chemical reaction processes is<br />

used (Xie et al., 2006; Bauer et al., 2006b).<br />

First, the <strong>flow</strong> field is solved followed by<br />

conservative transport for all species. In the<br />

third step the calculation <strong>of</strong> kinetic<br />

biochemical reactions is performed. Finally<br />

chemical equilibrium reactions are calculated.<br />

This approach allows an easy h<strong>and</strong>ling<br />

<strong>of</strong> any number <strong>of</strong> species <strong>and</strong> reaction<br />

processes as well as employing optimised<br />

mathematical methods for the solution <strong>of</strong><br />

the corresponding equation systems. The<br />

non-iterative approach, however, is limited<br />

to small time steps in order to avoid<br />

<strong>numerical</strong> instabilities. It is also known not<br />

to converge necessarily to the exact solution<br />

(Carrayrou et al., 2004). These limitations<br />

can be overcome using a computationally<br />

more dem<strong>and</strong>ing iterative operator splitting<br />

approach (e.g. Kinzelbach et al., 1991).<br />

3. Modeling applications<br />

In this chapter three application examples<br />

<strong>of</strong> <strong>numerical</strong> models for <strong>flow</strong> <strong>and</strong> reactive<br />

transport as established in chapter 2 are<br />

presented. Section 3.1 introduces the Virtual<br />

Aquifer (VA) concept, in which <strong>numerical</strong><br />

<strong>modeling</strong> is used for the evaluation <strong>of</strong><br />

investigation strategies for contaminated<br />

sites. In section 3.2 the VA concept is<br />

applied to derive <strong>and</strong> test a novel method<br />

for the estimation <strong>of</strong> biodegradation kinetic<br />

parameters from measured field data. Section<br />

3.3 uses <strong>numerical</strong> <strong>modeling</strong> as a tool<br />

to predict the environmental impact <strong>of</strong> demolition<br />

waste used in road constructions<br />

3.1. Evaluation <strong>of</strong> investigation<br />

strategies for contaminated<br />

aquifers using the Virtual<br />

Aquifer concept<br />

Due to the limited accessibility <strong>of</strong> the<br />

subsurface, measurements <strong>of</strong> piezometric<br />

heads <strong>and</strong> pollutant concentrations at contaminated<br />

sites are sparse <strong>and</strong> may not be<br />

representative <strong>of</strong> the heterogeneous hydrogeologic<br />

conditions. Any site investigation<br />

is thus subject to uncertainty, reflecting the<br />

limited knowledge on aquifer properties<br />

<strong>and</strong> the extent <strong>of</strong> the contamination. Three<br />

main sources <strong>of</strong> uncertainty can be identified<br />

for site investigation, which are illustrated<br />

in Fig. 5. Conceptual model errors<br />

result from an incorrect identification <strong>of</strong> the<br />

governing processes at a site. Heterogeneity<br />

<strong>of</strong> the site causes an incomplete or wrong<br />

description <strong>of</strong> the relevant parameter distributions.<br />

For variables measured at observation<br />

wells like heads or concentrations<br />

measurement errors are inevitable. Due to<br />

this uncertainty, field investigation methods<br />

for plume screening <strong>and</strong> measuring <strong>of</strong><br />

hydraulic conductivity or degradation rates<br />

can hardly be tested or verified in the field.<br />

The VA approach is particularly aimed to<br />

overcome this problem. Its basic idea is the<br />

computer based evaluation <strong>of</strong> the performance<br />

<strong>and</strong> reliability <strong>of</strong> field investigation<br />

methods by application in heterogeneous<br />

synthetic (i.e. virtual) aquifers. In this it<br />

resembles the concept <strong>of</strong> “virtual realities”<br />

(Schäfer et al., 2002) which are used e.g. in<br />

car industry (“virtual crash test”), education<br />

(flight simulators) or medicine (interactive<br />

operation planning).<br />

9

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