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

TY - JOUR

T1 - Alleviating interpretational ambiguity in hydrogeology through clustering-based analysis of transient electromagnetic and surface nuclear magnetic resonance data

AU - Vang, Mathias

AU - Larsen, Jakob Juul

AU - Christiansen, Anders Vest

AU - Grombacher, Denys

N1 - Publisher Copyright: © 2025 Mathias Vang et al.

PY - 2025/10/20

Y1 - 2025/10/20

N2 - Local characterization of groundwater systems is critical for managing and protecting vulnerable resources. Geophysical methods can provide dense imaging of subsurface parameters to delineate lithological boundaries and water tables for hydrogeological investigation, though using a single geophysical method for determining lithologies can yield erroneous interpretations as different lithologies can have similar properties. By using several geophysical methods, it is possible to reduce this risk and better assign likely lithologies to subsurface units. We present two case studies where transient electromagnetics (TEM) and surface nuclear magnetic resonance (SNMR) are used in combination to delineate hydrogeological structures. Novel spatially constrained inversion in SNMR was used to provide horizontal consistency between soundings. Three coincident parameters, resistivity from the TEM measurements and water content and relaxation time from the SNMR measurements, were used in a K-means clustering scheme to resolve subsurface structures. The K-means clustering was evaluated with a silhouette index to pick the number of clusters. After clustering, each cluster was assigned a hydrogeological description based on the distinct features in the three parameters; e.g., a low resistivity, high water content, and high T2ĝ- are assigned as saltwater-saturated sand. In the first case study, the clusters enabled improved resolution of a regional water table in an unconfined aquifer setting with the multi-geophysical approach. The water table estimates were positively evaluated against multiple boreholes within 500 m of coincident geophysical models. The second case study illustrates how clustering, of SNMR and TEM models, can delineate saltwater intrusion in an island coastal aquifer, which would not be possible with any of these methods individually. Additionally, the clustering resolved the main shallow aquifer on the island. Our work illustrates how the combination of geophysical data can be used to improve the identification of hydrogeological layers and reduce interpretational bias.

AB - Local characterization of groundwater systems is critical for managing and protecting vulnerable resources. Geophysical methods can provide dense imaging of subsurface parameters to delineate lithological boundaries and water tables for hydrogeological investigation, though using a single geophysical method for determining lithologies can yield erroneous interpretations as different lithologies can have similar properties. By using several geophysical methods, it is possible to reduce this risk and better assign likely lithologies to subsurface units. We present two case studies where transient electromagnetics (TEM) and surface nuclear magnetic resonance (SNMR) are used in combination to delineate hydrogeological structures. Novel spatially constrained inversion in SNMR was used to provide horizontal consistency between soundings. Three coincident parameters, resistivity from the TEM measurements and water content and relaxation time from the SNMR measurements, were used in a K-means clustering scheme to resolve subsurface structures. The K-means clustering was evaluated with a silhouette index to pick the number of clusters. After clustering, each cluster was assigned a hydrogeological description based on the distinct features in the three parameters; e.g., a low resistivity, high water content, and high T2ĝ- are assigned as saltwater-saturated sand. In the first case study, the clusters enabled improved resolution of a regional water table in an unconfined aquifer setting with the multi-geophysical approach. The water table estimates were positively evaluated against multiple boreholes within 500 m of coincident geophysical models. The second case study illustrates how clustering, of SNMR and TEM models, can delineate saltwater intrusion in an island coastal aquifer, which would not be possible with any of these methods individually. Additionally, the clustering resolved the main shallow aquifer on the island. Our work illustrates how the combination of geophysical data can be used to improve the identification of hydrogeological layers and reduce interpretational bias.

UR - https://www.scopus.com/pages/publications/105020013962

U2 - 10.5194/hess-29-5315-2025

DO - 10.5194/hess-29-5315-2025

M3 - Journal article

AN - SCOPUS:105020013962

SN - 1027-5606

VL - 29

SP - 5315

EP - 5329

JO - Hydrology and Earth System Sciences

JF - Hydrology and Earth System Sciences

IS - 20

ER -