Published April 14, 2023 | Version v1
Software Open

Model and Inversion Codes for the Analysis of Pumping Tests in a Partially Penetrating Well to Resolve Vertical Aquifer Heterogeneity and Hydraulic Anisotropy

  • 1. ROR icon University of Tübingen
  • 2. ROR icon Bayerisches Landesamt für Umwelt
  • 3. ROR icon Universidad Nacional Autónoma de México
  • 4. ROR icon Stuttgart Technical University of Applied Sciences
  • 5. ROR icon Swiss Federal Institute of Aquatic Science and Technology

Description

The Hydrogeology group at the Department of Geoscience of the University of Tübingen performs field oriented research at various hydrogeological research site in Southwest Germany. The research focuses on the development of hydrogeological site characterization methods including hydraulic and tracer testing, partly combined with geophysical surveying methods. These data will be the measurement basis of joint inversion and data assimilation methods. 

This package contains model and inversion codes for the analysis of pumping tests in a partially penetrating well to resolve vertical aquifer heterogeneity and hydraulic anisotropy. 

Abstract (English)

The stratification of sedimentary aquifers introduces spatial variability in hydraulic conductivity, primarily between individual horizontal layers. On larger scales, the vertical heterogeneity enhances hydraulic anisotropy with the horizontal conductivity typically exceeding the vertical one. We collected pumping test data sets for the estimation of the hydraulic anisotropy of a stratified aquifer with numerical modelling. This package consists of MATLAB-based codes with (i) a numerical forward model for the simulation of radial-symmetric groundwater flow to a well that partially penetrates the aquifer, (ii) a scheme for the inversion of hydraulic tests to estimate hydraulic anisotropy induced by the vertical heterogeneity in stratified aquifers, and (iii) a code for a reproducibility check of field data originating from different pumping tests at the field site "Kappel-Grafenhausen" in the Upper Rhine Valley, Germany. The code package is used for the work described in Maier et al. (2022).

Files

Kappel_PumpTest_DataInversionTomographic.zip

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Additional details

Related works

Is described by
Data paper: 10.1007/s10040-022-02458-9 (DOI)

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Study design and Methodology

Data source type
published research data
Data type
decimal
General data format
software, numeric
Mode of collection
simulation, computer-based observation
Numeric type
decimal
Software package
matlab

Software documentation

Application category
simulation software
Programming language
c, matlab