 |
| Titel |
Evaluating Uncertainty in Estimating Groundwater Residence Time through a River Bend –An Integrated Hydrogeologic Modelling Study |
| VerfasserIn |
Reynold Chow, Jeremy Bennett, Jürnkajob Dugge, Thomas Wöhling, Wolfgang Nowak |
| Konferenz |
EGU General Assembly 2017
|
| Medientyp |
Artikel
|
| Sprache |
en
|
| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250138765
|
| Publikation (Nr.) |
 EGU/EGU2017-1881.pdf |
|
|
|
|
|
| Zusammenfassung |
| A hydrogeologic modelling study of the Steinlach River bend, in Southwest Germany, was
conducted to assess the predictive uncertainty of hyporheic exchange. The Steinlach River
bend is an experimental site established in 2010 to monitor hyporheic exchange fluxes
through a river bend (Osenbrück et al., 2013). One aspect of hydrogeologic models most
readily identified as contributing significantly to predictive uncertainty is the representation of
hydraulic conductivity. This research aims to evaluate which aspect of the subsurface
representation – the representation of geological structure, the model for local scale
heterogeneity, or the associated parameter values – most influences the predictive uncertainty
of intra-meander hyporheic exchange. HydroGeoSphere (HGS) was used to model the
Steinlach River bend. HGS is a state-of-the-art control finite volume fully integrated surface
water-groundwater model (Therrien et al., 2012). This model is set up and treated as ‘virtual
reality’, which is in turn modelled as several simpler models using different subsurface
parameterization schemes. The accuracy and precision of modelled groundwater residence
times through the intra-meander are evaluated, with an analysis of the predictive
uncertainties associated with the different aspects of the subsurface representation. |
|
|
|
|
|
|