Articles | Volume 11, issue 2
https://doi.org/10.5194/se-11-349-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/se-11-349-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Mar 2020
Research article |
| 17 Mar 2020
| 17 Mar 2020
New regional stratigraphic insights from a 3D geological model of the Nasia sub-basin, Ghana, developed for hydrogeological purposes and based on reprocessed B-field data originally collected for mineral exploration
Elikplim Abla Dzikunoo
CORRESPONDING AUTHOR
Department of Earth Science, University of Ghana, Accra, Ghana
Giulio Vignoli
DICAAR, University of Cagliari, Cagliari, Italy
GRUK, Geological Survey of Denmark and Greenland (GEUS), Aarhus,
Denmark
Flemming Jørgensen
Central Denmark Region, Viborg, Denmark
Sandow Mark Yidana
CORRESPONDING AUTHOR
Department of Earth Science, University of Ghana, Accra, Ghana
Bruce Banoeng-Yakubo
Department of Earth Science, University of Ghana, Accra, Ghana
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- Groundwater potential modeling over the eastern part of Ghana’s Northern Region using evidence belief functions and weight of evidence E. Forson et al. 10.1007/s12145-024-01317-3
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- Spreading of Localized Information across an Entire 3D Electrical Resistivity Volume via Constrained EMI Inversion Based on a Realistic Prior Distribution N. Zaru et al. 10.3390/rs15163993
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16 citations as recorded by crossref.
- Enhancing adaptation to climate change through groundwater-based irrigation O. Fynn et al. 10.1007/s40899-023-00814-5
- 1D Stochastic Inversion of Airborne Time-Domain Electromagnetic Data with Realistic Prior and Accounting for the Forward Modeling Error P. Bai et al. 10.3390/rs13193881
- Extracting useful high-frequency information from wide-field electromagnetic data using time-domain signal reconstruction F. Ling et al. 10.1007/s11771-022-5180-9
- Constructing the resistivity-to-sediment-type transform for the interpretation of airborne electromagnetic data N. Dewar & R. Knight 10.1190/geo2020-0831.1
- Sustainable Development Goals and the Geosciences: A Review K. Senger 10.3389/esss.2024.10124
- (Quasi-)Real-Time Inversion of Airborne Time-Domain Electromagnetic Data via Artificial Neural Network P. Bai et al. 10.3390/rs12203440
- Fluid boundaries: A cross-country exploration of groundwater quality amid threats from climate change R. Kazapoe et al. 10.1016/j.envc.2024.100953
- Evaluating groundwater resources trends through multiple conceptual models and GRACE satellite data S. Yidana et al. 10.1007/s10661-024-12457-w
- Hydrofacies simulation based on transition probability geostatistics using electrical resistivity tomography and borehole data L. Ma et al. 10.1007/s10040-022-02539-9
- Investigation of Geophysical Signatures for Successful Exploration of Groundwater in Highly Indurated Sedimentary Basins: A Look at the Nasia Basin, NE Ghana A. Aliou et al. 10.1007/s11053-022-10125-9
- Groundwater potential modeling over the eastern part of Ghana’s Northern Region using evidence belief functions and weight of evidence E. Forson et al. 10.1007/s12145-024-01317-3
- A multi-task learning network based on the Transformer network for airborne electromagnetic detection imaging and denoising Y. Liu et al. 10.1093/jge/gxae054
- Instantaneous Inversion of Airborne Electromagnetic Data Based on Deep Learning S. Wu et al. 10.1029/2021GL097165
- Spreading of Localized Information across an Entire 3D Electrical Resistivity Volume via Constrained EMI Inversion Based on a Realistic Prior Distribution N. Zaru et al. 10.3390/rs15163993
- The Estimation of Magnetite Prospective Resources Based on Aeromagnetic Data: A Case Study of Qihe Area, Shandong Province, China X. Gao et al. 10.3390/rs13061216
- Sparse-Promoting 3-D Airborne Electromagnetic Inversion Based on Shearlet Transform Y. Su et al. 10.1109/TGRS.2021.3061160
Latest update: 22 Nov 2024
Short summary
Time-domain electromagnetic (TEM) geophysics data originally collected for mining purposes were reprocessed and inverted. The new inversions were used to construct a 3D model of the subsurface geology to facilitate hydrogeological investigations within a DANIDA-funded project. Improved resolutions from the TEM enabled the identification of possible paleovalleys of glacial origin, suggesting the need for a reevaluation of the current lithostratigraphy of the Voltaian sedimentary basin.
Time-domain electromagnetic (TEM) geophysics data originally collected for mining purposes were...
