Assessing measurements <strong>of</strong> first-order degradation rates through the virtual aquifer approach 277 the hydraulic conductivity. For each realization, the procedures described above were followed <strong>and</strong> a degradation rate was calculated for each method, at each downstream well <strong>and</strong> for every source width. RESULTS AND DISCUSSION Figure 2 illustrates the results for the calculated first-order rate constants. Calculated rate constants were reported as normalized rate constants (i.e. the calculated rate constant was divided by the true rate constant used in the <strong>numerical</strong> simulation). The normalized rate constant can thus be interpreted as an overestimated factor or an underestimated factor. Inspection <strong>of</strong> Fig. 2 yields that most calculated rates are higher than one (i.e. the degradation rate is overestimated). This conclusion is quite concerning for single realizations, where overestimations can be <strong>of</strong> several orders <strong>of</strong> magnitude. On the lefth<strong>and</strong> side <strong>of</strong> Fig. 2(a), the variation <strong>of</strong> the calculated normalized rate with the source zone width is illustrated. It is clear that for Method 1, the calculated rates improve when the source zone width is increased; this is because Method 1 does not account for dilution, dispersion or measurements outside <strong>of</strong> the plume. These factors become less relevant with increasing source width since the basic assumptions inherent in Method 1 are better fulfilled, <strong>and</strong> the overestimation factor drops accordingly. On the right-h<strong>and</strong> side <strong>of</strong> Fig. 2(a), the dependence <strong>of</strong> the calculated rate on the degree <strong>of</strong> heterogeneity (given as variance) is shown. It is obvious that an increase <strong>of</strong> σ²ln(KF) leads to an overestimation <strong>of</strong> the calculated degradation rate. Furthermore, the st<strong>and</strong>ard deviation <strong>of</strong> the mean calculated degradation rate increases, leading to greater uncertainty in the calculated rate. For the smallest degree <strong>of</strong> heterogeneity the mean overestimation is a factor a bit smaller than 2, which increases to values between 3 <strong>and</strong> 5 for medium to high heterogeneity, <strong>and</strong> 10 for very high heterogeneity. Figure 2(b) shows the results for Method 2. Degradation rates for this method were also overestimated. However, when comparing this method to Method 1, the overestimation factor <strong>and</strong> st<strong>and</strong>ard deviation are generally smaller (i.e. both the error <strong>and</strong> the uncertainty are lower compared to Method 1). When examining the left-h<strong>and</strong> side <strong>of</strong> Fig. 2(b), the calculated rates show no dependence on source width. This effect is inherent to the method, since Method 2 accounts for dispersion, dilution <strong>and</strong> measurements taken outside <strong>of</strong> the plume. Method 3 depicts results similar to Method 1 regarding the rate dependence on source width <strong>and</strong> on the degree <strong>of</strong> heterogeneity (Fig. 2(c)). However, the normalized degradation rates for Method 3 are higher than for Method 1 (<strong>and</strong> also higher than Method 2); this is due to the dispersivity term. In comparison to Method 1, a portion <strong>of</strong> the concentration reduction from the source observation well to the downstream observation well is attributed to dispersion <strong>and</strong> corrected for, <strong>and</strong> thus a higher degradation rate is estimated. Method 4 (Fig. 2(d)) displays behaviour similar to Method 3, except that the rate values are slightly lower. Lower rate values are attributed to the additional term in the rate equation, which accounts for transverse dispersion. It should also be noted that at the lowest degree <strong>of</strong> heterogeneity, the normalized degradation rates were actually underestimated; this is due to an “over correction” <strong>of</strong> the effects for transverse dispersion. To effectively illustrate the over <strong>and</strong> underestimation <strong>of</strong> the degradation rates for all four methods, the degradation rates where calculated (for a homogeneous hydraulic conductivity) <strong>and</strong>
278 (a) Method 1 (b) Method 2 (c) Method 3 (d) Method 4 S. Bauer et al. Fig. 2 “Measured” first-order degradation rate constants normalized to the true degradation rate constant vs source width (left) <strong>and</strong> degree <strong>of</strong> heterogeneity (right) for (a) Method 1, (b) Method 2, (c) Method 3 <strong>and</strong> (d) Method 4. All figures show results for all observations (small symbols) as well as their mean value (large symbols) <strong>and</strong> the corresponding st<strong>and</strong>ard deviations (error bars).
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Einführung In dieser Arbeit wird e
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Entlang der so bestimmten Grundwass
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Für die letztgenannten Methoden m
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Unsicherheit zu. Für Methode 3 ( A
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(1995) yields a “hybrid” rate c
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Comparing results for source widths
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van Genuchten, M.T.: A closed form