Daan Herckenrath
Technical University of Denmark
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Daan Herckenrath.
Ground Water | 2012
Daan Herckenrath; Nick Odlum; Vanessa Nenna; Rosemary Knight; Esben Auken; Peter Bauer-Gottwein
Salt water intrusion models are commonly used to support groundwater resource management in coastal aquifers. Concentration data used for model calibration are often sparse and limited in spatial extent. With airborne and ground-based electromagnetic surveys, electrical resistivity models can be obtained to provide high-resolution three-dimensional models of subsurface resistivity variations that can be related to geology and salt concentrations on a regional scale. Several previous studies have calibrated salt water intrusion models with geophysical data, but are typically limited to the use of the inverted electrical resistivity models without considering the measured geophysical data directly. This induces a number of errors related to inconsistent scales between the geophysical and hydrologic models and the applied regularization constraints in the geophysical inversion. To overcome these errors, we perform a coupled hydrogeophysical inversion (CHI) in which we use a salt water intrusion model to interpret the geophysical data and guide the geophysical inversion. We refer to this methodology as a Coupled Hydrogeophysical Inversion-State (CHI-S), in which simulated salt concentrations are transformed to an electrical resistivity model, after which a geophysical forward response is calculated and compared with the measured geophysical data. This approach was applied for a field site in Santa Cruz County, California, where a time-domain electromagnetic (TDEM) dataset was collected. For this location, a simple two-dimensional cross-sectional salt water intrusion model was developed, for which we estimated five uniform aquifer properties, incorporating the porosity that was also part of the employed petrophysical relationship. In addition, one geophysical parameter was estimated. The six parameters could be resolved well by fitting more than 300 apparent resistivities that were comprised by the TDEM dataset. Except for three sounding locations, all the TDEM data could be fitted close to a root-mean-square error of 1. Possible explanations for the poor fit of these soundings are the assumption of spatial uniformity, fixed boundary conditions and the neglecting of 3D effects in the groundwater model and the TDEM forward responses.
Mathematical Geosciences | 2014
James L. McCallum; Daan Herckenrath; Craig T. Simmons
Connectivity patterns of heterogeneous porous media are important in the estimation of groundwater residence time distributions (RTDs). Understanding the connectivity patterns of a hydraulic conductivity (
Water Resources Research | 2011
Daan Herckenrath; Christian D. Langevin; John Doherty
Journal of Hydrology | 2010
Peter Bauer-Gottwein; Bibi Ruth Neuman Gondwe; Lars Christiansen; Daan Herckenrath; Lesego Kgotlhang; Stephanie Zimmermann
K
Hydrology and Earth System Sciences | 2013
Daan Herckenrath; Gianluca Fiandaca; Esben Auken; Peter Bauer-Gottwein
Water Resources Research | 2012
Daan Herckenrath; Esben Auken; Lars Christiansen; Ahmad A. Behroozmand; Peter Bauer-Gottwein
K) field often requires knowledge of the entire aquifer, which is not practical. As such, the method used to estimate unknown
Journal of Hydrology | 2015
Matthew J. Knowling; Adrian D. Werner; Daan Herckenrath
Journal of Hydrology | 2015
Daan Herckenrath; John Doherty; Sorab Panday
K
Geophysics | 2013
Vanessa Nenna; Daan Herckenrath; Rosemary Knight; Nick Odlum; Darcy K. McPhee
Archive | 2012
Daan Herckenrath; Peter Bauer-Gottwein; Esben Auken; Rosemary Knight
K values using known