Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 29, issue 20
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.
https://doi.org/10.5194/hess-29-5315-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 29, issue 20
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

Viewed

Total article views: 3,179 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,586 416 177 3,179 188 247
  • HTML: 2,586
  • PDF: 416
  • XML: 177
  • Total: 3,179
  • BibTeX: 188
  • EndNote: 247
Views and downloads (calculated since 30 Apr 2025)
Cumulative views and downloads (calculated since 30 Apr 2025)

Viewed (geographical distribution)

Total article views: 3,179 (including HTML, PDF, and XML) Thereof 3,117 with geography defined and 62 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 21 Aug 2026
Download
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.
Read more
Share