Articles | Volume 28, issue 3
https://doi.org/10.5194/hess-28-505-2024
© Author(s) 2024. 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-28-505-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Incorporating interpretation uncertainties from deterministic 3D hydrostratigraphic models in groundwater models
Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, 1350, Denmark
Rasmus Bødker Madsen
Geological Survey of Denmark and Greenland, Land and Marine Geology, Aarhus, 8000, Denmark
Torben O. Sonnenborg
Geological Survey of Denmark and Greenland, Hydrology, Copenhagen, 1350, Denmark
Lærke Therese Andersen
Geological Survey of Denmark and Greenland, Land and Marine Geology, Aarhus, 8000, Denmark
Peter B. E. Sandersen
Geological Survey of Denmark and Greenland, Land and Marine Geology, Aarhus, 8000, Denmark
Jacob Kidmose
Geological Survey of Denmark and Greenland, Hydrology, Copenhagen, 1350, Denmark
Ingelise Møller
Geological Survey of Denmark and Greenland, Land and Marine Geology, Aarhus, 8000, Denmark
Thomas Mejer Hansen
Department of Geoscience, University of Aarhus, Aarhus, 8000, Denmark
Karsten Høgh Jensen
Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, 1350, Denmark
Anne-Sophie Høyer
Geological Survey of Denmark and Greenland, Land and Marine Geology, Aarhus, 8000, Denmark
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Cited
12 citations as recorded by crossref.
- A 3D Fold-Modeling Method Based on Multiple-Point Statistics and Long Short-Term Memory Networks X. Chen et al. https://doi.org/10.3390/app16094079
- Transformer-Model-Based Automatic Aquifer Generalization Using Borehole Logs: A Case Study in a Mining Area in Xingtai, Hebei Province, China Y. Du et al. https://doi.org/10.3390/app16020983
- Stochastic inversion of transient electromagnetic data to derive aquifer geometry and associated uncertainties L. Aigner et al. https://doi.org/10.1093/gji/ggaf236
- Quantifying the impact of stratigraphic uncertainty on tunnel seepage field based on a 3D geostatistical interpolation model X. Zou et al. https://doi.org/10.1016/j.tust.2026.107649
- Review of integrating thermal, electrical, and seismic geophysical methods for shallow groundwater modeling in the critical zone A. Rivière et al. https://doi.org/10.5802/crgeos.330
- Probabilistic Modeling and Uncertainty Simulations of National-Scale Hydrostratigraphic Models: An Example from Denmark R. Madsen et al. https://doi.org/10.1007/s11004-025-10263-9
- Automatic reconstruction of 3D geological models based on recurrent neural network and predictive learning W. Fan et al. https://doi.org/10.1016/j.cageo.2025.105996
- Illuminating groundwater flow modeling uncertainty through spatial discretization and complexity exploration S. Samani https://doi.org/10.1007/s11600-024-01346-y
- Enhanced Markov-type Categorical Prediction with geophysical soft constraints for hydrostratigraphic modeling L. Guo et al. https://doi.org/10.5194/hess-30-1421-2026
- Evaluating the chain of uncertainties in the 3D geological modelling workflow A. Høyer et al. https://doi.org/10.1016/j.enggeo.2024.107792
- Impact of geological conceptualization in predicting pore pressure reduction from urban excavations S. Axéen et al. https://doi.org/10.1016/j.enggeo.2026.108601
- The 3D modeling, geometry determination, and hydrostratigraphic evaluation of the Qazvin aquifer V. Amiri et al. https://doi.org/10.1007/s43217-025-00269-y
12 citations as recorded by crossref.
- A 3D Fold-Modeling Method Based on Multiple-Point Statistics and Long Short-Term Memory Networks X. Chen et al. https://doi.org/10.3390/app16094079
- Transformer-Model-Based Automatic Aquifer Generalization Using Borehole Logs: A Case Study in a Mining Area in Xingtai, Hebei Province, China Y. Du et al. https://doi.org/10.3390/app16020983
- Stochastic inversion of transient electromagnetic data to derive aquifer geometry and associated uncertainties L. Aigner et al. https://doi.org/10.1093/gji/ggaf236
- Quantifying the impact of stratigraphic uncertainty on tunnel seepage field based on a 3D geostatistical interpolation model X. Zou et al. https://doi.org/10.1016/j.tust.2026.107649
- Review of integrating thermal, electrical, and seismic geophysical methods for shallow groundwater modeling in the critical zone A. Rivière et al. https://doi.org/10.5802/crgeos.330
- Probabilistic Modeling and Uncertainty Simulations of National-Scale Hydrostratigraphic Models: An Example from Denmark R. Madsen et al. https://doi.org/10.1007/s11004-025-10263-9
- Automatic reconstruction of 3D geological models based on recurrent neural network and predictive learning W. Fan et al. https://doi.org/10.1016/j.cageo.2025.105996
- Illuminating groundwater flow modeling uncertainty through spatial discretization and complexity exploration S. Samani https://doi.org/10.1007/s11600-024-01346-y
- Enhanced Markov-type Categorical Prediction with geophysical soft constraints for hydrostratigraphic modeling L. Guo et al. https://doi.org/10.5194/hess-30-1421-2026
- Evaluating the chain of uncertainties in the 3D geological modelling workflow A. Høyer et al. https://doi.org/10.1016/j.enggeo.2024.107792
- Impact of geological conceptualization in predicting pore pressure reduction from urban excavations S. Axéen et al. https://doi.org/10.1016/j.enggeo.2026.108601
- The 3D modeling, geometry determination, and hydrostratigraphic evaluation of the Qazvin aquifer V. Amiri et al. https://doi.org/10.1007/s43217-025-00269-y
Saved (final revised paper)
Latest update: 07 Jun 2026
Short summary
In this study, we demonstrate an approach to evaluate the interpretation uncertainty within a manually interpreted geological model in a groundwater model. Using qualitative estimates of uncertainties, several geological realizations are developed and implemented in groundwater models. We confirm existing evidence that if the conceptual model is well defined, interpretation uncertainties within the conceptual model have limited impact on groundwater model predictions.
In this study, we demonstrate an approach to evaluate the interpretation uncertainty within a...