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Fig. 6 Comparison of the dead zone model and the Fickian model results for sub-reach 1-2, flow
rate Q 3
In brief, the Fickian model is sufficient to model contaminants transport in the
studied case (Mrokowska 2010 ).
5 Conclusions
To conclude, the results of the study indicate that calibration of reliable values of
the dead zone model parameters is not possible for the studied case.
First of all, the Monte Carlo simulations combined with the performance mea-
sure (the least square objective function) showed that identification of a unique
parameter set is not possible. It means that the choice of optimal set of parameters is
uncertain.
To assess the model output uncertainty, the sensitivity analysis and uncertainty
analysis were applied. According to the SA results, the model output is most
sensitive to parameters A and K x . Consequently, the uncertainty of results depends
on these two parameters. More significantly, results of the SA showed that transient
storage parameters are irrelevant in explaining the model output. Hence, the dead
zone model could be simplified to the Fickian model by neglecting transient storage
parameters (
and A s ).
In the studied case, the Fickian model proved to be sufficient to model con-
taminants transport.
a
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