Articles | Volume 17, issue 8
https://doi.org/10.5194/hess-17-3245-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-17-3245-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
16 Aug 2013
Research article |
| 16 Aug 2013
Analyzing the effects of geological and parameter uncertainty on prediction of groundwater head and travel time
Department of Geosciences and Natural Resource Management, Copenhagen University, Copenhagen, Denmark
T. O. Sonnenborg
Geological Survey of Denmark and Greenland (GEUS), Copenhagen, Denmark
F. Jørgensen
Geological Survey of Denmark and Greenland (GEUS), Copenhagen, Denmark
A.-S. Høyer
Geological Survey of Denmark and Greenland (GEUS), Copenhagen, Denmark
Department of Earth Sciences, Aarhus University, Aarhus, Denmark
R. R. Møller
Geological Survey of Denmark and Greenland (GEUS), Copenhagen, Denmark
K. H. Jensen
Department of Geosciences and Natural Resource Management, Copenhagen University, Copenhagen, Denmark
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Cited
38 citations as recorded by crossref.
- Challenges in conditioning a stochastic geological model of a heterogeneous glacial aquifer to a comprehensive soft data set J. Koch et al. https://doi.org/10.5194/hess-18-2907-2014
- Multiple-point statistical simulation for hydrogeological models: 3-D training image development and conditioning strategies A. Høyer et al. https://doi.org/10.5194/hess-21-6069-2017
- Groundwater travel time distributions in two adjacent competing Springs A. Alarfaj et al. https://doi.org/10.1016/j.jhydrol.2026.134912
- Transition probability‐based stochastic geological modeling using airborne geophysical data and borehole data X. He et al. https://doi.org/10.1002/2013WR014593
- HYPPS: A hybrid geostatistical modeling algorithm for subsurface modeling P. Tahmasebi https://doi.org/10.1002/2017WR021078
- Climate model uncertainty versus conceptual geological uncertainty in hydrological modeling T. Sonnenborg et al. https://doi.org/10.5194/hess-19-3891-2015
- TEMPORARY REMOVAL: Computational electromagnetic geophysics for groundwater system studies: A review on established practices and recent advances P. Rulff et al. https://doi.org/10.1016/j.jhydrol.2026.135542
- Nitrate vulnerability assessment of aquifers B. Hansen et al. https://doi.org/10.1007/s12665-016-5767-2
- Spatial Sensitivity Analysis of Simulated Land Surface Patterns in a Catchment Model Using a Set of Innovative Spatial Performance Metrics J. Koch et al. https://doi.org/10.1175/JHM-D-16-0148.1
- Estimation of soil loss by the WATEM/SEDEM model using an automatic parameter estimation procedure N. Bezak et al. https://doi.org/10.1007/s12665-015-4534-0
- Using geophysical survey results in the inference of aquifer vulnerability measures N. Christensen & A. Christiansen https://doi.org/10.1002/nsg.12171
- Quantifying stratigraphic uncertainty in groundwater modelling for infrastructure design L. Troldborg et al. https://doi.org/10.1007/s10040-021-02303-5
- Guidelines for Conducting Sensitivity Analyses in Process Simulations for Solid Earth Geosciences D. Degen & F. Wellmann https://doi.org/10.1007/s11004-025-10267-5
- Assessing hydrological model predictive uncertainty using stochastically generated geological models X. He et al. https://doi.org/10.1002/hyp.10488
- Combining 3D geological modelling techniques to address variations in geology, data type and density – An example from Southern Denmark F. Jørgensen et al. https://doi.org/10.1016/j.cageo.2015.04.010
- The effect of training image and secondary data integration with multiple-point geostatistics in groundwater modelling X. He et al. https://doi.org/10.5194/hess-18-2943-2014
- Modelling a real-world buried valley system with vertical non-stationarity using multiple-point statistics X. He et al. https://doi.org/10.1007/s10040-016-1486-8
- Impacts of land use, climate change and hydrological model structure on nitrate fluxes: Magnitudes and uncertainties I. Seidenfaden et al. https://doi.org/10.1016/j.scitotenv.2022.154671
- Sandstone-body geometry and hydrostratigraphy of the northern High Plains Aquifer system, USA J. Korus & R. Joeckel https://doi.org/10.1144/qjegh2021-171
- Multiple-point statistical modeling of three-dimensional glacial aquifer heterogeneity for improved groundwater management N. Kawo et al. https://doi.org/10.1007/s10040-023-02658-x
- Development of a digital workflow for layer reduction strategies and visual-analytical outcome analysis to enhance geo-hydraulic modelling efficiency E. Nixdorf et al. https://doi.org/10.1080/28375807.2025.2460825
- Generation of 3‐D hydrostratigraphic zones from dense airborne electromagnetic data to assess groundwater model prediction error N. Christensen et al. https://doi.org/10.1002/2016WR019141
- Inverse methods in hydrogeology: Evolution and recent trends H. Zhou et al. https://doi.org/10.1016/j.advwatres.2013.10.014
- Performance evaluation of groundwater model hydrostratigraphy from airborne electromagnetic data and lithological borehole logs P. Marker et al. https://doi.org/10.5194/hess-19-3875-2015
- Markov based transition probability geostatistics in groundwater applications: assumptions and limitations A. Langousis et al. https://doi.org/10.1007/s00477-017-1504-y
- Application of MODFLOW with Boundary Conditions Analyses Based on Limited Available Observations: A Case Study of Birjand Plain in East Iran R. Aghlmand & A. Abbasi https://doi.org/10.3390/w11091904
- Uncertainty of heterogeneous hydrogeological models in groundwater flow and land subsidence simulations – A case study in Huwei Town, Taiwan D. Tran et al. https://doi.org/10.1016/j.enggeo.2022.106543
- Incorporating interpretation uncertainties from deterministic 3D hydrostratigraphic models in groundwater models T. Enemark et al. https://doi.org/10.5194/hess-28-505-2024
- Evaluating the feasibility of using artificial neural networks to predict lithofacies in complex glacial deposits Z. Hammond & D. Allen https://doi.org/10.1007/s10040-023-02726-2
- Assessing flow paths in a karst aquifer based on multiple dye tracing tests using stochastic simulation and the MODFLOW-CFP code A. Assari & Z. Mohammadi https://doi.org/10.1007/s10040-017-1595-z
- 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
- Exploring Predictive Uncertainty at a Double‐Source Managed Aquifer Recharge Site via Stochastic Modeling G. Rudnik et al. https://doi.org/10.1029/2021WR031241
- Conceptual hydrogeological and numerical groundwater flow modelling around the Moab Khutsong deep gold mine, South Africa. H. Mengistu et al. https://doi.org/10.1016/j.gsd.2019.100266
- Groundwater Management and Allocation Models: A Review K. Norouzi Khatiri et al. https://doi.org/10.3390/w15020253
- Quantitative characterisation of Quaternary glaciofluvial aquifer heterogeneity using cluster analysis F. Gallardo Ceron et al. https://doi.org/10.1007/s10040-025-02933-z
- Analyzing the effect of transmissivity uncertainty on the reliability of a model of the northwestern Sahara aquifer system M. Zammouri & L. Ribeiro https://doi.org/10.1016/j.jafrearsci.2017.02.034
- Choosing various likelihood functions on uncertainty assessment in groundwater simulation-optimization model K. Norouzi Khatiri et al. https://doi.org/10.2166/ws.2020.003
- The influence of layer and voxel geological modelling strategy on groundwater modelling results T. Enemark et al. https://doi.org/10.1007/s10040-021-02442-9
38 citations as recorded by crossref.
- Challenges in conditioning a stochastic geological model of a heterogeneous glacial aquifer to a comprehensive soft data set J. Koch et al. https://doi.org/10.5194/hess-18-2907-2014
- Multiple-point statistical simulation for hydrogeological models: 3-D training image development and conditioning strategies A. Høyer et al. https://doi.org/10.5194/hess-21-6069-2017
- Groundwater travel time distributions in two adjacent competing Springs A. Alarfaj et al. https://doi.org/10.1016/j.jhydrol.2026.134912
- Transition probability‐based stochastic geological modeling using airborne geophysical data and borehole data X. He et al. https://doi.org/10.1002/2013WR014593
- HYPPS: A hybrid geostatistical modeling algorithm for subsurface modeling P. Tahmasebi https://doi.org/10.1002/2017WR021078
- Climate model uncertainty versus conceptual geological uncertainty in hydrological modeling T. Sonnenborg et al. https://doi.org/10.5194/hess-19-3891-2015
- TEMPORARY REMOVAL: Computational electromagnetic geophysics for groundwater system studies: A review on established practices and recent advances P. Rulff et al. https://doi.org/10.1016/j.jhydrol.2026.135542
- Nitrate vulnerability assessment of aquifers B. Hansen et al. https://doi.org/10.1007/s12665-016-5767-2
- Spatial Sensitivity Analysis of Simulated Land Surface Patterns in a Catchment Model Using a Set of Innovative Spatial Performance Metrics J. Koch et al. https://doi.org/10.1175/JHM-D-16-0148.1
- Estimation of soil loss by the WATEM/SEDEM model using an automatic parameter estimation procedure N. Bezak et al. https://doi.org/10.1007/s12665-015-4534-0
- Using geophysical survey results in the inference of aquifer vulnerability measures N. Christensen & A. Christiansen https://doi.org/10.1002/nsg.12171
- Quantifying stratigraphic uncertainty in groundwater modelling for infrastructure design L. Troldborg et al. https://doi.org/10.1007/s10040-021-02303-5
- Guidelines for Conducting Sensitivity Analyses in Process Simulations for Solid Earth Geosciences D. Degen & F. Wellmann https://doi.org/10.1007/s11004-025-10267-5
- Assessing hydrological model predictive uncertainty using stochastically generated geological models X. He et al. https://doi.org/10.1002/hyp.10488
- Combining 3D geological modelling techniques to address variations in geology, data type and density – An example from Southern Denmark F. Jørgensen et al. https://doi.org/10.1016/j.cageo.2015.04.010
- The effect of training image and secondary data integration with multiple-point geostatistics in groundwater modelling X. He et al. https://doi.org/10.5194/hess-18-2943-2014
- Modelling a real-world buried valley system with vertical non-stationarity using multiple-point statistics X. He et al. https://doi.org/10.1007/s10040-016-1486-8
- Impacts of land use, climate change and hydrological model structure on nitrate fluxes: Magnitudes and uncertainties I. Seidenfaden et al. https://doi.org/10.1016/j.scitotenv.2022.154671
- Sandstone-body geometry and hydrostratigraphy of the northern High Plains Aquifer system, USA J. Korus & R. Joeckel https://doi.org/10.1144/qjegh2021-171
- Multiple-point statistical modeling of three-dimensional glacial aquifer heterogeneity for improved groundwater management N. Kawo et al. https://doi.org/10.1007/s10040-023-02658-x
- Development of a digital workflow for layer reduction strategies and visual-analytical outcome analysis to enhance geo-hydraulic modelling efficiency E. Nixdorf et al. https://doi.org/10.1080/28375807.2025.2460825
- Generation of 3‐D hydrostratigraphic zones from dense airborne electromagnetic data to assess groundwater model prediction error N. Christensen et al. https://doi.org/10.1002/2016WR019141
- Inverse methods in hydrogeology: Evolution and recent trends H. Zhou et al. https://doi.org/10.1016/j.advwatres.2013.10.014
- Performance evaluation of groundwater model hydrostratigraphy from airborne electromagnetic data and lithological borehole logs P. Marker et al. https://doi.org/10.5194/hess-19-3875-2015
- Markov based transition probability geostatistics in groundwater applications: assumptions and limitations A. Langousis et al. https://doi.org/10.1007/s00477-017-1504-y
- Application of MODFLOW with Boundary Conditions Analyses Based on Limited Available Observations: A Case Study of Birjand Plain in East Iran R. Aghlmand & A. Abbasi https://doi.org/10.3390/w11091904
- Uncertainty of heterogeneous hydrogeological models in groundwater flow and land subsidence simulations – A case study in Huwei Town, Taiwan D. Tran et al. https://doi.org/10.1016/j.enggeo.2022.106543
- Incorporating interpretation uncertainties from deterministic 3D hydrostratigraphic models in groundwater models T. Enemark et al. https://doi.org/10.5194/hess-28-505-2024
- Evaluating the feasibility of using artificial neural networks to predict lithofacies in complex glacial deposits Z. Hammond & D. Allen https://doi.org/10.1007/s10040-023-02726-2
- Assessing flow paths in a karst aquifer based on multiple dye tracing tests using stochastic simulation and the MODFLOW-CFP code A. Assari & Z. Mohammadi https://doi.org/10.1007/s10040-017-1595-z
- 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
- Exploring Predictive Uncertainty at a Double‐Source Managed Aquifer Recharge Site via Stochastic Modeling G. Rudnik et al. https://doi.org/10.1029/2021WR031241
- Conceptual hydrogeological and numerical groundwater flow modelling around the Moab Khutsong deep gold mine, South Africa. H. Mengistu et al. https://doi.org/10.1016/j.gsd.2019.100266
- Groundwater Management and Allocation Models: A Review K. Norouzi Khatiri et al. https://doi.org/10.3390/w15020253
- Quantitative characterisation of Quaternary glaciofluvial aquifer heterogeneity using cluster analysis F. Gallardo Ceron et al. https://doi.org/10.1007/s10040-025-02933-z
- Analyzing the effect of transmissivity uncertainty on the reliability of a model of the northwestern Sahara aquifer system M. Zammouri & L. Ribeiro https://doi.org/10.1016/j.jafrearsci.2017.02.034
- Choosing various likelihood functions on uncertainty assessment in groundwater simulation-optimization model K. Norouzi Khatiri et al. https://doi.org/10.2166/ws.2020.003
- The influence of layer and voxel geological modelling strategy on groundwater modelling results T. Enemark et al. https://doi.org/10.1007/s10040-021-02442-9
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