2017
DOI: 10.1016/j.cageo.2017.07.011
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pyGIMLi: An open-source library for modelling and inversion in geophysics

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Cited by 290 publications
(193 citation statements)
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“…Recent developments of the ERT method over the past decade have increased the spatial and temporal resolution for hydrogeological processes monitoring, with optimization of measurement protocols using several hundreds of electrodes (Loke et al, 2014a, 2014b, 2015a, 2015b; Uhlemann et al, 2018; Wilkinson et al, 2012) and with two‐, three‐, and four‐dimensional inversion software (Günther et al, 2006; Johnson et al, 2017, 2010; Rücker et al, 2017, 2006). Moreover, new approaches have been developed to integrate geophysical monitoring results into hydrogeological modeling to complement traditional hydrogeological monitoring techniques for laboratory experiments or field scale studies (Binley et al, 2002; Chou et al, 2016; Dawood et al, 2011; Kemna et al, 2002; Koestel et al, 2008, 2009; Robinson et al, 2009).…”
mentioning
confidence: 99%
“…Recent developments of the ERT method over the past decade have increased the spatial and temporal resolution for hydrogeological processes monitoring, with optimization of measurement protocols using several hundreds of electrodes (Loke et al, 2014a, 2014b, 2015a, 2015b; Uhlemann et al, 2018; Wilkinson et al, 2012) and with two‐, three‐, and four‐dimensional inversion software (Günther et al, 2006; Johnson et al, 2017, 2010; Rücker et al, 2017, 2006). Moreover, new approaches have been developed to integrate geophysical monitoring results into hydrogeological modeling to complement traditional hydrogeological monitoring techniques for laboratory experiments or field scale studies (Binley et al, 2002; Chou et al, 2016; Dawood et al, 2011; Kemna et al, 2002; Koestel et al, 2008, 2009; Robinson et al, 2009).…”
mentioning
confidence: 99%
“…The software package pyBERT/pyGIMLi (Rücker, Günther and Wagner 2017) was used for forward modelling and data inversion. ERT inversion results of all six profiles are shown in Figure 9.…”
Section: Resultsmentioning
confidence: 99%
“…The processed and cleaned dataset was inverted using the 3D code BERT (Günther, Rücker and Spitzer 2006) for resistivity and, subsequently, for chargeability using pyGIMLi (Rücker, Günther and Wagner 2017). We used a tetrahedral mesh to incorporate the significant topography in the 50-m-deep model, using the measured electrode positions and additional points to constrain the topography outside of the ERT lines.…”
Section: Resultsmentioning
confidence: 99%