Applied numerical modeling of saturated / unsaturated flow and ...
Applied numerical modeling of saturated / unsaturated flow and ...
Applied numerical modeling of saturated / unsaturated flow and ...
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92 C. Beyer et al. / Journal <strong>of</strong> Contaminant Hydrology 87 (2006) 73–95<br />
constitutes a more accurate estimate <strong>of</strong> the true plume length than any <strong>of</strong> the first order methods used.<br />
Only when aquifer heterogeneity is very high, L4 is able to yield plume length estimates <strong>of</strong> almost<br />
comparable accuracy. This is mainly, because increased transverse dispersion produces concentration<br />
pr<strong>of</strong>iles that allow a log-linear fit <strong>of</strong> a first order rate constant.<br />
7. Summary <strong>and</strong> conclusions<br />
In this study the Virtual Aquifer concept is used to assess the uncertainty involved in estimating<br />
down stream contaminant concentrations <strong>and</strong> plume lengths in heterogeneous aquifers. For such<br />
an analysis a key element is the quantification <strong>of</strong> the degradation rate at the site under study.<br />
Therefore, the main focus <strong>of</strong> this work is on the influence <strong>of</strong> this parameter on the estimated plume<br />
lengths. Three different scenarios are analysed.<br />
In case A, four different st<strong>and</strong>ard field methods based on the center line investigation strategy<br />
are tested <strong>and</strong> compared with regard to their capability <strong>of</strong> estimating first order degradation rate<br />
constants <strong>and</strong> the contaminant plume length in heterogeneous aquifers. The four methods are<br />
applied to plumes following first order degradation kinetics. It is found that both, the estimated<br />
degradation rate constants <strong>and</strong> the calculated plume lengths, are subject to high uncertainty. On<br />
average, estimated rate constants exceed the true degradation rate constant, causing calculated<br />
plume lengths that are too short. Both bias <strong>and</strong> uncertainty <strong>of</strong> estimated degradation rate constants<br />
increase with the degree <strong>of</strong> heterogeneity to about a factor in the order <strong>of</strong> a magnitude, respectively.<br />
However, the uncertainty observed in the rate constants does not fully propagate to the plume length<br />
estimates. On average plume lengths are underestimated by about 50% <strong>of</strong> the true plume length, <strong>and</strong><br />
up to a factor <strong>of</strong> ten in the worst cases. Of the four different methods, the approach <strong>of</strong> Wiedemeier et<br />
al. (1996) using concentrations normalized to a conservative tracer yields the best results for the rate<br />
constants <strong>and</strong> for the plume lengths. Consequently, this method should preferably be used.<br />
However, the presence <strong>of</strong> a suitable recalcitrant compound may not always be given. In this case,<br />
the most simple <strong>of</strong> the four approaches, which is based on the advection equation <strong>and</strong> neglects<br />
dispersive processes should be used to determine the degradation potential, as this method yields<br />
closer estimates <strong>of</strong> the first order rate constant than the approaches using the one- (Buscheck <strong>and</strong><br />
Alcantar, 1995) <strong>and</strong> two-dimensional advection dispersion equations (Zhang <strong>and</strong> Heathcote, 2003).<br />
The non-conservative plume length estimates might cause threats to down stream receptors, as the<br />
risk <strong>of</strong> contamination could be underrated. The high uncertainty when estimating plume dimensions<br />
could result in incorrect decisions regarding the necessity <strong>and</strong> dimensioning <strong>of</strong> engineered remediation<br />
measures or when considering the applicability <strong>of</strong> natural attenuation. All four methods are only<br />
applicable to steady state plumes. In reality, however, contaminant plumes <strong>of</strong>ten show temporal<br />
variations in extent <strong>and</strong> orientation as the plume exp<strong>and</strong>s, the source slowly depletes, or the <strong>flow</strong><br />
regime changes over time. For exp<strong>and</strong>ing plumes, application <strong>of</strong> methods 1–4 wouldresultinan<br />
overestimation <strong>of</strong> the rate constant, <strong>and</strong> thus in underestimation <strong>of</strong> the plume length at steady state. This<br />
is because the down stream transient contaminant concentrations are lower than those at steady state,<br />
causing a higher concentration decrease along the center line, which would be falsely attributed to the<br />
degradation process. For the same reason rate constants would also be overestimated for shrinking<br />
plumes. An examination <strong>of</strong> the current state <strong>of</strong> the plume is necessary, when one <strong>of</strong> the four methods is<br />
to be applied at a site. An overview <strong>of</strong> techniques for this purpose is given by Newell et al. (2002).<br />
Case B analyses the additional error that results from application <strong>of</strong> the four methods, although<br />
the true degradation kinetics deviate from first order. Here plumes following Michaelis–Menten<br />
degradation kinetics are investigated. Results show that for the three approaches without<br />
correction <strong>of</strong> concentrations to a conservative tracer, an additional underestimation occurs which