Licht, E. , Heberer, T. , Wiese, B. , Grützmacher, G. (2006): Estimating of the solute transport parameters retardation factor and decay coefficient of pharmaceutical residues using the program visual CXTFIT.

p 5 In: 5th International Symposium on Management of Aquifer Recharge / IHP-VI, Series on Groundwater. Berlin. 11. - 16.6.2005

Zusammenfassung

In the course of the interdisciplinary research project NASRI (natural and artificial systems for recharge and infiltration) many investigations are currently being carried out to assess the risk of break through of persistent organic substances into raw water used for drinking water supply. One part of these studies is the determination of the transport behavior of pharmaceutical residues in test sand filters, so called enclosures, equipped with sampling points at various depths. Breakthrough curves were determined for carbamazepine, primidone (both antiepileptic drugs), clofibric acid (a metabolite of blood lipid lowering agents), diclofenac, ibuprofen (both analgesic drugs) and for chloride, used as a conservative tracer. Retardation coefficients and degradation rates were obtained by using the software Visual CXTFIT. Degradation rates between 0.7 h–1 and 1 h–1 were observed for ibuprofen whereas clofibric acid, primidone, carbamazepine and diclofenac showed no or very little degradation (lambda < 0.06 h–1).

Nützmann, G. , Holzbecher, E. , Strahl, G. , Wiese, B. , Licht, E. , Grützmacher, G. (2006): Visual CXTFIT - a user-friendly simulation tool for modelling one-dimensional transport, sorption and degradation processes during bank filtration.

p 6 In: 5th International Symposium on Management of Aquifer Recharge / IHP-VI, Series on Groundwater. Berlin. 11. - 16.6.2005

Zusammenfassung

Successful predictions of the fate and transport of solutes during bank filtration and artificial groundwater recharge depends on the availability of accurate transport parameters. We expand the CXTFIT code (Toride et al., 1995) in order to improve the handling by pre- and post processing modules under Microsoft EXCEL. Inverse modelling results of column experiments with tracers, pharmaceutical residuals and algae toxins demonstrate the applicability of the advanced simulation tool.

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