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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- Challenges in conditioning a stochastic geological model of a heterogeneous glacial aquifer to a comprehensive soft data set J. Koch et al. 10.5194/hess-18-2907-2014
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- Transition probability‐based stochastic geological modeling using airborne geophysical data and borehole data X. He et al. 10.1002/2013WR014593
- HYPPS: A hybrid geostatistical modeling algorithm for subsurface modeling P. Tahmasebi 10.1002/2017WR021078
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- Spatial Sensitivity Analysis of Simulated Land Surface Patterns in a Catchment Model Using a Set of Innovative Spatial Performance Metrics J. Koch et al. 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. 10.1007/s12665-015-4534-0
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- The effect of training image and secondary data integration with multiple-point geostatistics in groundwater modelling X. He et al. 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. 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. 10.1016/j.scitotenv.2022.154671
- Sandstone-body geometry and hydrostratigraphy of the northern High Plains Aquifer system, USA J. Korus & R. Joeckel 10.1144/qjegh2021-171
- Multiple-point statistical modeling of three-dimensional glacial aquifer heterogeneity for improved groundwater management N. Kawo et al. 10.1007/s10040-023-02658-x
- Generation of 3‐D hydrostratigraphic zones from dense airborne electromagnetic data to assess groundwater model prediction error N. Christensen et al. 10.1002/2016WR019141
- Inverse methods in hydrogeology: Evolution and recent trends H. Zhou et al. 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. 10.5194/hess-19-3875-2015
- Markov based transition probability geostatistics in groundwater applications: assumptions and limitations A. Langousis et al. 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 . Aghlmand & . Abbasi 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. 10.1016/j.enggeo.2022.106543
- Incorporating interpretation uncertainties from deterministic 3D hydrostratigraphic models in groundwater models T. Enemark et al. 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 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 10.1007/s10040-017-1595-z
- Exploring Predictive Uncertainty at a Double‐Source Managed Aquifer Recharge Site via Stochastic Modeling G. Rudnik et al. 10.1029/2021WR031241
- Conceptual hydrogeological and numerical groundwater flow modelling around the Moab Khutsong deep gold mine, South Africa. H. Mengistu et al. 10.1016/j.gsd.2019.100266
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- Analyzing the effect of transmissivity uncertainty on the reliability of a model of the northwestern Sahara aquifer system M. Zammouri & L. Ribeiro 10.1016/j.jafrearsci.2017.02.034
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