Articles | Volume 25, issue 5
https://doi.org/10.5194/hess-25-2759-2021
© Author(s) 2021. 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-25-2759-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 May 2021
Research article |
| 25 May 2021
| 25 May 2021
3D multiple-point geostatistical simulation of joint subsurface redox and geological architectures
Groundwater and Quaternary Geology Mapping, Geological Survey of Denmark and Greenland, Aarhus, 8000, Denmark
Hyojin Kim
Groundwater and Quaternary Geology Mapping, Geological Survey of Denmark and Greenland, Aarhus, 8000, Denmark
Anders Juhl Kallesøe
Groundwater and Quaternary Geology Mapping, Geological Survey of Denmark and Greenland, Aarhus, 8000, Denmark
Peter B. E. Sandersen
Groundwater and Quaternary Geology Mapping, Geological Survey of Denmark and Greenland, Aarhus, 8000, Denmark
Troels Norvin Vilhelmsen
Department of Geoscience, Aarhus University, Aarhus, 8000, Denmark
Thomas Mejer Hansen
Department of Geoscience, Aarhus University, Aarhus, 8000, Denmark
Anders Vest Christiansen
Department of Geoscience, Aarhus University, Aarhus, 8000, Denmark
Ingelise Møller
Groundwater and Quaternary Geology Mapping, Geological Survey of Denmark and Greenland, Aarhus, 8000, Denmark
Birgitte Hansen
Groundwater and Quaternary Geology Mapping, Geological Survey of Denmark and Greenland, Aarhus, 8000, Denmark
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Total article views: 1,732 (including HTML, PDF, and XML)
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Cited
13 citations as recorded by crossref.
- Statistical modeling of three-dimensional redox architecture from non-colocated redox borehole and transient electromagnetic data L. Wang et al. 10.1007/s10040-023-02640-7
- Multiple-point statistical modeling of three-dimensional glacial aquifer heterogeneity for improved groundwater management N. Kawo et al. 10.1007/s10040-023-02658-x
- Upscaling of Denitrification Rates from Point to Catchment Scales for Modeling of Nitrate Transport and Retention H. Kim et al. 10.1021/acs.est.1c04593
- Estimation using multiple-point statistics Ó. Jóhannsson & T. Hansen 10.1016/j.cageo.2021.104894
- A method to construct statistical prior models of geology for probabilistic inversion of geophysical data R. Madsen et al. 10.1016/j.enggeo.2023.107252
- Incorporating interpretation uncertainties from deterministic 3D hydrostratigraphic models in groundwater models T. Enemark et al. 10.5194/hess-28-505-2024
- A sectorisation-based method for geostatistical modeling of pressuremeter test data: Application to the Grand Paris Express project (France) L. Lachérade et al. 10.1016/j.enggeo.2023.107270
- Assessing groundwater denitrification spatially is the key to targeted agricultural nitrogen regulation B. Hansen et al. 10.1038/s41598-024-55984-9
- N-Map: High-resolution groundwater N-retention mapping and modelling by integration of geophysical, geological, geochemical, and hydrological data A. Christiansen et al. 10.1016/j.jenvman.2023.118126
- Geology-driven modeling: A new probabilistic approach for incorporating uncertain geological interpretations in 3D geological modeling R. Madsen et al. 10.1016/j.enggeo.2022.106833
- The influence of layer and voxel geological modelling strategy on groundwater modelling results T. Enemark et al. 10.1007/s10040-021-02442-9
- Choosing between Gaussian and MPS simulation: the role of data information content—a case study using uncertain interpretation data points R. Madsen et al. 10.1007/s00477-020-01954-2
- Assessment of complex subsurface redox structures for sustainable development of agriculture and the environment B. Hansen et al. 10.1088/1748-9326/abda6d
11 citations as recorded by crossref.
- Statistical modeling of three-dimensional redox architecture from non-colocated redox borehole and transient electromagnetic data L. Wang et al. 10.1007/s10040-023-02640-7
- Multiple-point statistical modeling of three-dimensional glacial aquifer heterogeneity for improved groundwater management N. Kawo et al. 10.1007/s10040-023-02658-x
- Upscaling of Denitrification Rates from Point to Catchment Scales for Modeling of Nitrate Transport and Retention H. Kim et al. 10.1021/acs.est.1c04593
- Estimation using multiple-point statistics Ó. Jóhannsson & T. Hansen 10.1016/j.cageo.2021.104894
- A method to construct statistical prior models of geology for probabilistic inversion of geophysical data R. Madsen et al. 10.1016/j.enggeo.2023.107252
- Incorporating interpretation uncertainties from deterministic 3D hydrostratigraphic models in groundwater models T. Enemark et al. 10.5194/hess-28-505-2024
- A sectorisation-based method for geostatistical modeling of pressuremeter test data: Application to the Grand Paris Express project (France) L. Lachérade et al. 10.1016/j.enggeo.2023.107270
- Assessing groundwater denitrification spatially is the key to targeted agricultural nitrogen regulation B. Hansen et al. 10.1038/s41598-024-55984-9
- N-Map: High-resolution groundwater N-retention mapping and modelling by integration of geophysical, geological, geochemical, and hydrological data A. Christiansen et al. 10.1016/j.jenvman.2023.118126
- Geology-driven modeling: A new probabilistic approach for incorporating uncertain geological interpretations in 3D geological modeling R. Madsen et al. 10.1016/j.enggeo.2022.106833
- The influence of layer and voxel geological modelling strategy on groundwater modelling results T. Enemark et al. 10.1007/s10040-021-02442-9
2 citations as recorded by crossref.
- Choosing between Gaussian and MPS simulation: the role of data information content—a case study using uncertain interpretation data points R. Madsen et al. 10.1007/s00477-020-01954-2
- Assessment of complex subsurface redox structures for sustainable development of agriculture and the environment B. Hansen et al. 10.1088/1748-9326/abda6d
Latest update: 24 Apr 2024
Short summary
The protection of subsurface aquifers from contamination is an ongoing environmental challenge. Some areas of the underground have a natural capacity for reducing contaminants. In this research these areas are mapped in 3D along with information about, e.g., sand and clay, which indicates whether contaminated water from the surface will travel through these areas. This mapping technique will be fundamental for more reliable risk assessment in water quality protection.
The protection of subsurface aquifers from contamination is an ongoing environmental challenge....
