Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1111/gwat.13121
Licence creative commons licence
Title (Primary) How to find aquifer statistics utilizing pumping tests? Two field studies using welltestpy
Author Müller, S.; Leven, C.; Dietrich, P. ORCID logo ; Attinger, S.; Zech, A.
Journal Groundwater
Year 2022
Department CHS; MET
Volume 60
Issue 1
Page From 137
Page To 144
Language englisch
Topic T5 Future Landscapes
Keywords pumping tests; aquifer heterogeneity; geostatistics; sensitivity analysis; Python; Horkheimer Insel site; Lauswiesen test site
Abstract We present a workflow to estimate geostatistical aquifer parameters from pumping test data using the Python package welltestpy. The procedure of pumping test analysis is exemplified for two data sets from the Horkheimer Insel site and from the Lauswiesen site, Germany. The analysis is based on a semi-analytical drawdown solution from the upscaling approach Radial Coarse Graining, which enables to infer log-transmissivity variance and horizontal correlation length, beside mean transmissivity and storativity, from pumping test data. We estimate these parameters of aquifer heterogeneity from type-curve analysis and determine their sensitivity. This procedure, implemented in welltestpy, is a template for analysing any pumping test. It goes beyond the possibilities of standard methods, e.g. based on Theis’ equation, which
are limited to mean transmissivity and storativity. A sensitivity study showed the impact of observation well positions on the parameter estimation quality. The insights of this study help to optimize future test setups for geostatistical aquifer analysis and provides guidance for investigating pumping tests with regard to aquifer statistics using the open-source software package welltestpy.
Persistent UFZ Identifier
Müller, S., Leven, C., Dietrich, P., Attinger, S., Zech, A. (2022):
How to find aquifer statistics utilizing pumping tests? Two field studies using welltestpy
Groundwater 60 (1), 137 - 144