Articles | Volume 29, issue 20
https://doi.org/10.5194/hess-29-5315-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-5315-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Oct 2025
Research article |
| 20 Oct 2025
| 20 Oct 2025
Alleviating interpretational ambiguity in hydrogeology through clustering-based analysis of transient electromagnetic and surface nuclear magnetic resonance data
Department of Geoscience, Aarhus University, Aarhus, Denmark
Jakob Juul Larsen
Department of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark
Anders Vest Christiansen
Department of Geoscience, Aarhus University, Aarhus, Denmark
Denys Grombacher
Department of Geoscience, Aarhus University, Aarhus, Denmark
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Short summary
To manage groundwater effectively, it is important to understand subsurface water systems. Geophysical methods can characterize subsurface layers, but relying on just one method can be misleading. This study combines two methods – transient electromagnetics and surface nuclear magnetic resonance – in a K-means clustering scheme to better resolve freshwater and saltwater zones. Two case studies showed how a combined approach improves characterization of these hydrogeologically important layers.
To manage groundwater effectively, it is important to understand subsurface water systems....
