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A collection of Jupyter Notebooks for coupled hydrogeophysical inversion of geophysical monitoring data
Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferenceabstrakt i proceedings › Forskning
- Line Meldgaard Madsen
- James Boyd, Lancaster University, British Geological Survey ,
- Paul Jack McLachlan
- Joshua Thompson, Rutgers - The State University of New Jersey, Newark ,
- Andrew Binley, Lancaster University
Geophysical monitoring data are increasingly being used for calibration of hydrological models. In a coupled hydrogeophysical inversion approach, the geophysical data are not inverted in a traditional manner. Instead, the geophysical data and realizations of a hydrological model are combined in an optimization process for calibration of the hydrological model parameters. In a coupled approach, this process minimizes the misfit between the observed geophysical data and geophysical data computed from the hydrological realizations using petro-physical relations.
Here, we present a series of flexible Jupyter Notebooks that can be used for coupled hydrogeophysical inversion. A flexible optimization scheme allows the user to combine different geophysical modalities (electric resistivity, TEM, and FEM data) and hydrological modelling software (e.g. HYDRUS, SUTRA, and MODFLOW) in order to adapt the notebooks for calibration of a specific hydrogeophysical problem.
In two examples, we present the calibration of a 1D infiltration problem (see Figure) and a 3D tracer test, where 1D and 3D electric resistivity monitoring data, respectively, have been used to determine the hydraulic conductivity of the models. We use the Jupyter Notebooks to compare different survey setups and the use of other complementary geophysical methods to assess their sensitivity and value in coupled hydrogeophysical inversions.
Here, we present a series of flexible Jupyter Notebooks that can be used for coupled hydrogeophysical inversion. A flexible optimization scheme allows the user to combine different geophysical modalities (electric resistivity, TEM, and FEM data) and hydrological modelling software (e.g. HYDRUS, SUTRA, and MODFLOW) in order to adapt the notebooks for calibration of a specific hydrogeophysical problem.
In two examples, we present the calibration of a 1D infiltration problem (see Figure) and a 3D tracer test, where 1D and 3D electric resistivity monitoring data, respectively, have been used to determine the hydraulic conductivity of the models. We use the Jupyter Notebooks to compare different survey setups and the use of other complementary geophysical methods to assess their sensitivity and value in coupled hydrogeophysical inversions.
| Originalsprog | Engelsk |
|---|---|
| Titel | GELMON 2022 6th International Workshop on Geoelectric Monitoring : Book of Abstracts |
| Udgivelsesår | 2022 |
| Sider | 9 |
| Status | Udgivet - 2022 |
| Begivenhed | 6th International Workshop on Geoelectric Monitoring - Varighed: 22 nov. 2022 → 23 nov. 2022 |
Konference
| Konference | 6th International Workshop on Geoelectric Monitoring |
|---|---|
| Periode | 22/11/2022 → 23/11/2022 |
| Serietitel | Berichte der Geologischen Bundesanstalt |
|---|---|
| Vol/bind | 144 |
| ISSN | 1017-8880 |
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ID: 307687210