Articles | Volume 29, issue 20
https://doi.org/10.5194/hess-29-5315-2025
https://doi.org/10.5194/hess-29-5315-2025
Research article
 | 
20 Oct 2025
Research article |  | 20 Oct 2025

Alleviating interpretational ambiguity in hydrogeology through clustering-based analysis of transient electromagnetic and surface nuclear magnetic resonance data

Mathias Vang, Jakob Juul Larsen, Anders Vest Christiansen, and Denys Grombacher

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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.
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