title: Combining 3D Hydraulic Tomography with Tracer Tests for Improved Transport Characterization.
abstract: Hydraulic tomography (HT) is a method for resolving the spatial distribution of hydraulic parameters to some extent, but many details important for solute transport usually remain unresolved. We present a methodology to improve solute transport predictions by combining data from HT with the breakthrough curve (BTC) of a single forced-gradient tracer test. We estimated the three dimensional (3D) hydraulic-conductivity field in an alluvial aquifer by inverting tomographic pumping tests performed at the Hydrogeological Research Site Lauswiesen close to Tübingen, Germany, using a regularized pilot-point method. We compared the estimated parameter field to available profiles of hydraulic-conductivity variations from direct-push injection logging (DPIL), and validated the hydraulic-conductivity field with hydraulic-head measurements of tests not used in the inversion. After validation, spatially uniform parameters for dual-domain transport were estimated by fitting tracer data collected during a forced-gradient tracer test. The dual-domain assumption was used to parameterize effects of the unresolved heterogeneity of the aquifer and deemed necessary to fit the shape of the BTC using reasonable parameter values. The estimated hydraulic-conductivity field and transport parameters were subsequently used to successfully predict a second independent tracer test. Our work provides an efficient and practical approach to predict solute transport in heterogeneous aquifers without performing elaborate field tracer tests with a tomographic layout.
authors.affiliation: Center for Applied Geoscience, University of Tübingen, Hölderlinstrasse 12, Tübingen, 72074, Germany; eduardoemilio.sanchez-leon@student.uni-tuebingen.de; carsten.leven-pfister@uni-tuebingen.de; claus.haslauer@uni-tuebingen.de; olaf.cirpka@uni-tuebingen.de. eduardoemilio.sanchez-leon@student.uni-tuebingen.de.
authors.forename: E
authors.initials: E
authors.lastname: Sanchez-León
authors.affiliation: Center for Applied Geoscience, University of Tübingen, Hölderlinstrasse 12, Tübingen, 72074, Germany; eduardoemilio.sanchez-leon@student.uni-tuebingen.de; carsten.leven-pfister@uni-tuebingen.de; claus.haslauer@uni-tuebingen.de; olaf.cirpka@uni-tuebingen.de. carsten.leven-pfister@uni-tuebingen.de.
authors.forename: C
authors.initials: C
authors.lastname: Leven
authors.affiliation: Center for Applied Geoscience, University of Tübingen, Hölderlinstrasse 12, Tübingen, 72074, Germany; eduardoemilio.sanchez-leon@student.uni-tuebingen.de; carsten.leven-pfister@uni-tuebingen.de; claus.haslauer@uni-tuebingen.de; olaf.cirpka@uni-tuebingen.de. claus.haslauer@uni-tuebingen.de.
authors.forename: C P
authors.initials: CP
authors.lastname: Haslauer
authors.affiliation: Center for Applied Geoscience, University of Tübingen, Hölderlinstrasse 12, Tübingen, 72074, Germany; eduardoemilio.sanchez-leon@student.uni-tuebingen.de; carsten.leven-pfister@uni-tuebingen.de; claus.haslauer@uni-tuebingen.de; olaf.cirpka@uni-tuebingen.de.|Corresponding author: Center for Applied Geoscience, University of Tübingen, Hölderlinstrasse 12, Tübingen, 72074, Germany; (49) 7071-29-78928; olaf.cirpka@uni-tuebingen.de.
authors.forename: O A
authors.initials: OA
authors.lastname: Cirpka
mesh_terms: D005858:Germany; D060587:Groundwater; D008962:Models, Theoretical; D014054:Tomography; D014872:Water Movements