Jeremy Bennett

University of Tübingen | EKU Tübingen · Department of Geosciences

Hyporheic exchange is the interaction of river water and groundwater, and is difficult to predict. One of the largest contributions to predictive uncertainty for hyporheic exchange has been attributed to the representation of heterogeneous subsurface properties. Our study evaluates the trade-offs between intrinsic (irreducible) and epistemic (reduc...

Modelling hyporheic exchange processes at relevant scales is important in deepening our understanding of this complex phenomenon. One model aspect readily identified as contributing significantly to the predictive uncertainty of hyporheic exchange is the accurate representation of river bathymetry. Our study determines the aspects of river bathymet...

This study determines the aspects of river bathymetry that have the greatest influence on the predictive biases when simulating hyporheic exchange. To investigate this, we build a highly parameterized HydroGeoSphere model of the Steinlach River Test Site in southwest Germany as a reference. This model is then modified with simpler bathymetries, eva...

The spatial distribution of hydraulic properties in the subsurface controls groundwater flow and solute transport. However, many approaches to modeling these distributions do not produce geologically realistic results, and/or do not model the anisotropy of hydraulic conductivity caused by bedding structures in sedimentary deposits. We have develope...

Suspended particles in rivers can act as carriers of potentially bioavailable metal species and are thus an emerging area of interest in river system monitoring. The delineation of bulk metals concentrations in river water into dissolved and particulate components is also important for risk assessment. Linear relationships between bulk metal concen...

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Results from linear regressions [CW: Dissolved concentration of elements, CSUS: Particle-bound concentrations]. (DOCX)

Hyporheic exchange is the interaction of water between rivers and groundwater, and is difficult to predict. One of the largest contributions to predictive uncertainty for hyporheic fluxes have been attributed to the representation of heterogeneous subsurface properties. This research aims to evaluate which aspect of the subsurface representation-th...

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...

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...

The spatial variability of hydraulic conductivity is known to have a strong impact on solute spreading and mixing. In most investigations, its local anisotropy has been neglected. Recent studies have shown that spatially varying orientation in sedimentary anisotropy can lead to twisting flow enhancing transverse mixing, but most of these studies us...

Solute mixing and spreading are important processes in understanding many contamination problems. These processes are determined by the spatial distribution of hydraulic conductivity. Many approaches to characterising hydraulic conductivity fields reduce complex sedimentary architectures to relatively simple geometries. The assumptions implicit in...

Transport of many urban pollutants in rivers is coupled to transport of suspended particles, potentially dominated by storm water overflows and mobilization of legacy contamination of sediments. Concentration of these pollutants depends on the mixture of " polluted " urban and " clean " background particles. In the current study, the total concentr...