Articles | Volume 21, issue 6
https://doi.org/10.5194/hess-21-2751-2017
© Author(s) 2017. 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-21-2751-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Jun 2017
Research article |
| 09 Jun 2017
Regional-scale brine migration along vertical pathways due to CO2 injection – Part 2: A simulated case study in the North German Basin
Alexander Kissinger
CORRESPONDING AUTHOR
Department of Hydromechanics and Modelling of Hydrosystems, University Stuttgart, Pfaffenwaldring 61, 70569 Stuttgart, Germany
Vera Noack
Bundesanstalt für Geowissenschaften und Rohstoffe (BGR), Stilleweg 2, 30655 Hanover, Germany
Stefan Knopf
Bundesanstalt für Geowissenschaften und Rohstoffe (BGR), Stilleweg 2, 30655 Hanover, Germany
Wilfried Konrad
DIALOGIK, Lerchenstraße 22, 70176 Stuttgart, Germany
Dirk Scheer
ITAS, Karlsruhe Institute of Technology, Karlstrasse 11, 76133 Karlsruhe, Germany
Holger Class
Department of Hydromechanics and Modelling of Hydrosystems, University Stuttgart, Pfaffenwaldring 61, 70569 Stuttgart, Germany
Related authors
Dirk Scheer, Wilfried Konrad, Holger Class, Alexander Kissinger, Stefan Knopf, and Vera Noack
Hydrol. Earth Syst. Sci., 21, 2739–2750, https://doi.org/10.5194/hess-21-2739-2017, https://doi.org/10.5194/hess-21-2739-2017, 2017
Short summary
Short summary
Stakeholder participation in numerical modeling of brine migration due to injection of CO2 into deep saline aquifers is tested in this work. Part 1 reports the process of participatory modeling in the development of a numerical model and Part 2 discusses essential technical findings obtained through this model, showing that notable increases in salt concentrations are confined to regions where they were already high a priori and where barrier layers are discontinuous.
Alexander Kissinger, Vera Noack, Stefan Knopf, Wilfried Konrad, Dirk Scheer, and Holger Class
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-281, https://doi.org/10.5194/hess-2016-281, 2016
Manuscript not accepted for further review
Short summary
Short summary
Stakeholder participation in numerical modeling of brine migration due to injection of CO2 into deep saline aquifers has proven a valuable approach to identifying and quantifying the potential hazard of groundwater contamination with salt. This paper (i) reports the process of participatory modeling and (ii) discusses essential findings showing that notable increases in salt concentrations are confined to regions where they were already high a priori and where barrier layers are discontinuous.
Dirk Scheer
Saf. Nucl. Waste Disposal, 2, 215–216, https://doi.org/10.5194/sand-2-215-2023, https://doi.org/10.5194/sand-2-215-2023, 2023
Short summary
Short summary
The ways to safely dispose of highly radioactive waste are manifold and remain a central sociopolitical challenge. In an expert workshop, a total of seven different future paths of nuclear waste disposal were identified and classified in terms of their plausibility and probability of implementation.
Sonja Breuer, Anke Bebiolka, Vera Noack, and Jörg Lang
E&G Quaternary Sci. J., 72, 113–125, https://doi.org/10.5194/egqsj-72-113-2023, https://doi.org/10.5194/egqsj-72-113-2023, 2023
Short summary
Short summary
Our work presented here deals with the impact of deep glacial erosion forms and their effect on the safety of a possible repository for highly radioactive waste. In past ice ages, glaciers have formed deep tunnel valleys. We assume that similar depths of erosion can be reached in future ice ages. This must be taken into account in the safety assessment of radioactive waste repositories. We have calculated a new depth zone map from maps and data based on records from the Pleistocene.
Roman Winter, Bernd Flemisch, Holger Class, and Rainer Merk
Saf. Nucl. Waste Disposal, 1, 31–31, https://doi.org/10.5194/sand-1-31-2021, https://doi.org/10.5194/sand-1-31-2021, 2021
Martin Beck and Holger Class
Adv. Geosci., 49, 1–7, https://doi.org/10.5194/adgeo-49-1-2019, https://doi.org/10.5194/adgeo-49-1-2019, 2019
Short summary
Short summary
Fluid injection in a geologic layer shifts pressure and stress conditions and may trigger the reactivation of pre-existing faults. We present an approach to describe changes in the stress-field upon such an induced seismic event by applying characteristic stress-drop terms based on reported literature values for a great variety of earthquakes, even at very different magnitudes. The article illustrates exemplary results and discusses also the effect of permeability on expectable seismicity.
Alexandru Tatomir, Christopher McDermott, Jacob Bensabat, Holger Class, Katriona Edlmann, Reza Taherdangkoo, and Martin Sauter
Adv. Geosci., 45, 185–192, https://doi.org/10.5194/adgeo-45-185-2018, https://doi.org/10.5194/adgeo-45-185-2018, 2018
Short summary
Short summary
In the context of hydraulic fracturing we constructed a comprehensive FEP database and applied it to six key focused scenarios defined under the scope of FracRisk project (www.fracrisk.eu). The FEP database is ranked to show the relevance of each item in the FEP list per scenario. The main goal of the work is to illustrate the FEP database applicability to develop a conceptual model for regional-scale stray gas migration.
Dirk Scheer, Wilfried Konrad, Holger Class, Alexander Kissinger, Stefan Knopf, and Vera Noack
Hydrol. Earth Syst. Sci., 21, 2739–2750, https://doi.org/10.5194/hess-21-2739-2017, https://doi.org/10.5194/hess-21-2739-2017, 2017
Short summary
Short summary
Stakeholder participation in numerical modeling of brine migration due to injection of CO2 into deep saline aquifers is tested in this work. Part 1 reports the process of participatory modeling in the development of a numerical model and Part 2 discusses essential technical findings obtained through this model, showing that notable increases in salt concentrations are confined to regions where they were already high a priori and where barrier layers are discontinuous.
Simon Matthias Kleinknecht, Holger Class, and Jürgen Braun
Hydrol. Earth Syst. Sci., 21, 1381–1396, https://doi.org/10.5194/hess-21-1381-2017, https://doi.org/10.5194/hess-21-1381-2017, 2017
Short summary
Short summary
Retardation of migrating contaminant vapors in the subsurface may mitigate groundwater contamination or vapor intrusion into buildings. An experimental investigation was conducted to quantify the retardation of carbon disulfide (CS2) vapor in moist porous media based on the analysis of concentration breakthrough curves. Findings linked retardation to types of porous media and water saturation. Moreover, the first evidence of biodegradation of the CS2 vapor was found in the column experiments.
Alexander Kissinger, Vera Noack, Stefan Knopf, Wilfried Konrad, Dirk Scheer, and Holger Class
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-281, https://doi.org/10.5194/hess-2016-281, 2016
Manuscript not accepted for further review
Short summary
Short summary
Stakeholder participation in numerical modeling of brine migration due to injection of CO2 into deep saline aquifers has proven a valuable approach to identifying and quantifying the potential hazard of groundwater contamination with salt. This paper (i) reports the process of participatory modeling and (ii) discusses essential findings showing that notable increases in salt concentrations are confined to regions where they were already high a priori and where barrier layers are discontinuous.
Related subject area
Subject: Groundwater hydrology | Techniques and Approaches: Modelling approaches
Data-driven modelling of hydraulic-head time series: results and lessons learned from the 2022 Groundwater Time Series Modelling Challenge
The impact of future changes in climate variables and groundwater abstraction on basin-scale groundwater availability
Assessing groundwater level modelling using a 1-D convolutional neural network (CNN): linking model performances to geospatial and time series features
Short high-accuracy tritium data time series for assessing groundwater mean transit times in the vadose and saturated zones of the Luxembourg Sandstone aquifer
Laboratory heat transport experiments reveal grain size and flow velocity dependent local thermal non-equilibrium effects
High-resolution long-term average groundwater recharge in Africa estimated using random forest regression and residual interpolation
Towards understanding the influence of seasons on low-groundwater periods based on explainable machine learning
Training deep learning models with a multi-station approach and static aquifer attributes for groundwater level simulation: what’s the best way to leverage regionalised information?
Shannon entropy of transport self-organization due to dissolution–precipitation reaction at varying Peclet numbers in initially homogeneous porous media
A high-resolution map of diffuse groundwater recharge rates for Australia
Influence of bank slope on sinuosity-driven hyporheic exchange flow and residence time distribution during a dynamic flood event
Technical note: A model of chemical transport in a wellbore–aquifer system
Disentangling coastal groundwater level dynamics in a global dataset
Current and future roles of meltwater–groundwater dynamics in a proglacial Alpine outwash plain
On the challenges of global entity-aware deep learning models for groundwater level prediction
Incorporating interpretation uncertainties from deterministic 3D hydrostratigraphic models in groundwater models
Adjoint subordination to calculate backward travel time probability of pollutants in water with various velocity resolutions
On the optimal level of complexity for the representation of groundwater-dependent wetland systems in land surface models
Estimation of groundwater age distributions from hydrochemistry: comparison of two metamodelling algorithms in the Heretaunga Plains aquifer system, New Zealand
Technical note: Novel analytical solution for groundwater response to atmospheric tides
Calibration of groundwater seepage against the spatial distribution of the stream network to assess catchment-scale hydraulic properties
Climate-warming-driven changes in the cryosphere and their impact on groundwater–surface-water interactions in the Heihe River basin
Comparison of artificial neural networks and reservoir models for simulating karst spring discharge on five test sites in the Alpine and Mediterranean regions
A general model of radial dispersion with wellbore mixing and skin effects
Estimation of hydraulic conductivity functions in karst regions by particle swarm optimization with application to Lake Vrana, Croatia
The origin of hydrological responses following earthquakes in a confined aquifer: insight from water level, flow rate, and temperature observations
Advance prediction of coastal groundwater levels with temporal convolutional and long short-term memory networks
Three-dimensional hydrogeological parametrization using sparse piezometric data
Machine-learning-based downscaling of modelled climate change impacts on groundwater table depth
Frequency domain water table fluctuations reveal impacts of intense rainfall and vadose zone thickness on groundwater recharge
Characterizing groundwater heat transport in a complex lowland aquifer using paleo-temperature reconstruction, satellite data, temperature–depth profiles, and numerical models
Karst spring recession and classification: efficient, automated methods for both fast- and slow-flow components
Exploring river–aquifer interactions and hydrological system response using baseflow separation, impulse response modeling, and time series analysis in three temperate lowland catchments
Experimental study of non-Darcy flow characteristics in permeable stones
Karst spring discharge modeling based on deep learning using spatially distributed input data
HESS Opinions: Chemical transport modeling in subsurface hydrological systems – space, time, and the “holy grail” of “upscaling”
Spatiotemporal variations in water sources and mixing spots in a riparian zone
Delineation of discrete conduit networks in karst aquifers via combined analysis of tracer tests and geophysical data
Reactive transport modeling for supporting climate resilience at groundwater contamination sites
Improved understanding of regional groundwater drought development through time series modelling: the 2018–2019 drought in the Netherlands
Simulation of long-term spatiotemporal variations in regional-scale groundwater recharge: contributions of a water budget approach in cold and humid climates
Feedback mechanisms between precipitation and dissolution reactions across randomly heterogeneous conductivity fields
Taking theory to the field: streamflow generation mechanisms in an intermittent Mediterranean catchment
Coupling saturated and unsaturated flow: comparing the iterative and the non-iterative approach
Time lags of nitrate, chloride, and tritium in streams assessed by dynamic groundwater flow tracking in a lowland landscape
Using Long Short-Term Memory networks to connect water table depth anomalies to precipitation anomalies over Europe
Estimation of groundwater recharge from groundwater levels using nonlinear transfer function noise models and comparison to lysimeter data
Early hypogenic carbonic acid speleogenesis in unconfined limestone aquifers by upwelling deep-seated waters with high CO2 concentration: a modelling approach
Impacts of climate change on groundwater flooding and ecohydrology in lowland karst
How daily groundwater table drawdown affects the diel rhythm of hyporheic exchange
Raoul A. Collenteur, Ezra Haaf, Mark Bakker, Tanja Liesch, Andreas Wunsch, Jenny Soonthornrangsan, Jeremy White, Nick Martin, Rui Hugman, Ed de Sousa, Didier Vanden Berghe, Xinyang Fan, Tim J. Peterson, Jānis Bikše, Antoine Di Ciacca, Xinyue Wang, Yang Zheng, Maximilian Nölscher, Julian Koch, Raphael Schneider, Nikolas Benavides Höglund, Sivarama Krishna Reddy Chidepudi, Abel Henriot, Nicolas Massei, Abderrahim Jardani, Max Gustav Rudolph, Amir Rouhani, J. Jaime Gómez-Hernández, Seifeddine Jomaa, Anna Pölz, Tim Franken, Morteza Behbooei, Jimmy Lin, and Rojin Meysami
Hydrol. Earth Syst. Sci., 28, 5193–5208, https://doi.org/10.5194/hess-28-5193-2024, https://doi.org/10.5194/hess-28-5193-2024, 2024
Short summary
Short summary
We show the results of the 2022 Groundwater Time Series Modelling Challenge; 15 teams applied data-driven models to simulate hydraulic heads, and three model groups were identified: lumped, machine learning, and deep learning. For all wells, reasonable performance was obtained by at least one team from each group. There was not one team that performed best for all wells. In conclusion, the challenge was a successful initiative to compare different models and learn from each other.
Steven Reinaldo Rusli, Victor F. Bense, Syed M. T. Mustafa, and Albrecht H. Weerts
Hydrol. Earth Syst. Sci., 28, 5107–5131, https://doi.org/10.5194/hess-28-5107-2024, https://doi.org/10.5194/hess-28-5107-2024, 2024
Short summary
Short summary
In this paper, we investigate the impact of climatic and anthropogenic factors on future groundwater availability. The changes are simulated using hydrological and groundwater flow models. We find that future groundwater status is influenced more by anthropogenic factors than climatic factors. The results are beneficial for informing responsible parties in operational water management about achieving future (ground)water governance.
Mariana Gomez, Maximilian Nölscher, Andreas Hartmann, and Stefan Broda
Hydrol. Earth Syst. Sci., 28, 4407–4425, https://doi.org/10.5194/hess-28-4407-2024, https://doi.org/10.5194/hess-28-4407-2024, 2024
Short summary
Short summary
To understand the impact of external factors on groundwater level modelling using a 1-D convolutional neural network (CNN) model, we train, validate, and tune individual CNN models for 505 wells distributed across Lower Saxony, Germany. We then evaluate the performance of these models against available geospatial and time series features. This study provides new insights into the relationship between these factors and the accuracy of groundwater modelling.
Laurent Gourdol, Michael K. Stewart, Uwe Morgenstern, and Laurent Pfister
Hydrol. Earth Syst. Sci., 28, 3519–3547, https://doi.org/10.5194/hess-28-3519-2024, https://doi.org/10.5194/hess-28-3519-2024, 2024
Short summary
Short summary
Determining water transit times in aquifers is key to a better understanding of groundwater resources and their sustainable management. For our research, we used high-accuracy tritium data from 35 springs draining the Luxembourg Sandstone aquifer. We assessed the mean transit times of groundwater and found that water moves on average more than 10 times more slowly vertically in the vadose zone of the aquifer (~12 m yr-1) than horizontally in its saturated zone (~170 m yr-1).
Haegyeong Lee, Manuel Gossler, Kai Zosseder, Philipp Blum, Peter Bayer, and Gabriel C. Rau
EGUsphere, https://doi.org/10.5194/egusphere-2024-1949, https://doi.org/10.5194/egusphere-2024-1949, 2024
Short summary
Short summary
A systematic laboratory experiment elucidates two-phase heat transport due to water flow in saturated porous media to understand thermal propagation in aquifers. Results reveal delayed thermal arrival in the solid phase, depending on grain size and flow velocity. Analytical modeling using standard local thermal equilibrium (LTE) and advanced local thermal non-equilibrium (LTNE) theory fails to describe temperature breakthrough curves, highlighting the need for more advanced numerical approaches.
Anna Pazola, Mohammad Shamsudduha, Jon French, Alan M. MacDonald, Tamiru Abiye, Ibrahim Baba Goni, and Richard G. Taylor
Hydrol. Earth Syst. Sci., 28, 2949–2967, https://doi.org/10.5194/hess-28-2949-2024, https://doi.org/10.5194/hess-28-2949-2024, 2024
Short summary
Short summary
This study advances groundwater research using a high-resolution random forest model, revealing new recharge areas and spatial variability, mainly in humid regions. Limited data in rainy zones is a constraint for the model. Our findings underscore the promise of machine learning for large-scale groundwater modelling while further emphasizing the importance of data collection for robust results.
Andreas Wunsch, Tanja Liesch, and Nico Goldscheider
Hydrol. Earth Syst. Sci., 28, 2167–2178, https://doi.org/10.5194/hess-28-2167-2024, https://doi.org/10.5194/hess-28-2167-2024, 2024
Short summary
Short summary
Seasons have a strong influence on groundwater levels, but relationships are complex and partly unknown. Using data from wells in Germany and an explainable machine learning approach, we showed that summer precipitation is the key factor that controls the severeness of a low-water period in fall; high summer temperatures do not per se cause stronger decreases. Preceding winters have only a minor influence on such low-water periods in general.
Sivarama Krishna Reddy Chidepudi, Nicolas Massei, Abderrahim Jardani, Bastien Dieppois, Abel Henriot, and Matthieu Fournier
EGUsphere, https://doi.org/10.5194/egusphere-2024-794, https://doi.org/10.5194/egusphere-2024-794, 2024
Short summary
Short summary
This study explores how deep learning can improve our understanding of groundwater levels, using an approach that combines climate data and physical characteristics of aquifers. By focusing on different types of groundwater levels and employing techniques like clustering and wavelet transform, the study highlights the importance of targeting relevant information. This research not only advances groundwater simulation but also emphasizes the benefits of different modelling approaches.
Evgeny Shavelzon and Yaniv Edery
Hydrol. Earth Syst. Sci., 28, 1803–1826, https://doi.org/10.5194/hess-28-1803-2024, https://doi.org/10.5194/hess-28-1803-2024, 2024
Short summary
Short summary
We investigate the interaction of transport with dissolution–precipitation reactions in porous media using the concepts of entropy and work to quantify the emergence of preferential flow paths. We show that the preferential-flow-path phenomenon and the hydraulic power required to maintain the driving pressure drop intensify over time along with the heterogeneity due to the interaction between the transport and the reactive processes. This is more pronounced in diffusion-dominated flows.
Stephen Lee, Dylan J. Irvine, Clément Duvert, Gabriel C. Rau, and Ian Cartwright
Hydrol. Earth Syst. Sci., 28, 1771–1790, https://doi.org/10.5194/hess-28-1771-2024, https://doi.org/10.5194/hess-28-1771-2024, 2024
Short summary
Short summary
Global groundwater recharge studies collate recharge values estimated using different methods that apply to different timescales. We develop a recharge prediction model, based solely on chloride, to produce a recharge map for Australia. We reveal that climate and vegetation have the most significant influence on recharge variability in Australia. Our recharge rates were lower than other models due to the long timescale of chloride in groundwater. Our method can similarly be applied globally.
Yiming Li, Uwe Schneidewind, Zhang Wen, Stefan Krause, and Hui Liu
Hydrol. Earth Syst. Sci., 28, 1751–1769, https://doi.org/10.5194/hess-28-1751-2024, https://doi.org/10.5194/hess-28-1751-2024, 2024
Short summary
Short summary
Meandering rivers are an integral part of many landscapes around the world. Here we used a new modeling approach to look at how the slope of riverbanks influences water flow and solute transport from a meandering river channel through its bank and into/out of the connected groundwater compartment (aquifer). We found that the bank slope can be a significant factor to be considered, especially when bank slope angles are small, and riverbank and aquifer conditions only allow for slow water flow.
Yiqun Gan and Quanrong Wang
Hydrol. Earth Syst. Sci., 28, 1317–1323, https://doi.org/10.5194/hess-28-1317-2024, https://doi.org/10.5194/hess-28-1317-2024, 2024
Short summary
Short summary
1. A revised 3D model of solute transport is developed in the well–aquifer system. 2. The accuracy of the new model is tested against benchmark analytical solutions. 3. Previous models overestimate the concentration of solute in both aquifers and wellbores in the injection well test case. 4. Previous models underestimate the concentration in the extraction well test case.
Annika Nolte, Ezra Haaf, Benedikt Heudorfer, Steffen Bender, and Jens Hartmann
Hydrol. Earth Syst. Sci., 28, 1215–1249, https://doi.org/10.5194/hess-28-1215-2024, https://doi.org/10.5194/hess-28-1215-2024, 2024
Short summary
Short summary
This study examines about 8000 groundwater level (GWL) time series from five continents to explore similarities in groundwater systems at different scales. Statistical metrics and machine learning techniques are applied to identify common GWL dynamics patterns and analyze their controlling factors. The study also highlights the potential and limitations of this data-driven approach to improve our understanding of groundwater recharge and discharge processes.
Tom Müller, Matteo Roncoroni, Davide Mancini, Stuart N. Lane, and Bettina Schaefli
Hydrol. Earth Syst. Sci., 28, 735–759, https://doi.org/10.5194/hess-28-735-2024, https://doi.org/10.5194/hess-28-735-2024, 2024
Short summary
Short summary
We investigate the role of a newly formed floodplain in an alpine glaciated catchment to store and release water. Based on field measurements, we built a numerical model to simulate the water fluxes and show that recharge occurs mainly due to the ice-melt-fed river. We identify three future floodplains, which could emerge from glacier retreat, and show that their combined storage leads to some additional groundwater storage but contributes little additional baseflow for the downstream river.
Benedikt Heudorfer, Tanja Liesch, and Stefan Broda
Hydrol. Earth Syst. Sci., 28, 525–543, https://doi.org/10.5194/hess-28-525-2024, https://doi.org/10.5194/hess-28-525-2024, 2024
Short summary
Short summary
We build a neural network to predict groundwater levels from monitoring wells. We predict all wells at the same time, by learning the differences between wells with static features, making it an entity-aware global model. This works, but we also test different static features and find that the model does not use them to learn exactly how the wells are different, but only to uniquely identify them. As this model class is not actually entity aware, we suggest further steps to make it so.
Trine Enemark, Rasmus Bødker Madsen, Torben O. Sonnenborg, Lærke Therese Andersen, Peter B. E. Sandersen, Jacob Kidmose, Ingelise Møller, Thomas Mejer Hansen, Karsten Høgh Jensen, and Anne-Sophie Høyer
Hydrol. Earth Syst. Sci., 28, 505–523, https://doi.org/10.5194/hess-28-505-2024, https://doi.org/10.5194/hess-28-505-2024, 2024
Short summary
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.
Yong Zhang, Graham E. Fogg, HongGuang Sun, Donald M. Reeves, Roseanna M. Neupauer, and Wei Wei
Hydrol. Earth Syst. Sci., 28, 179–203, https://doi.org/10.5194/hess-28-179-2024, https://doi.org/10.5194/hess-28-179-2024, 2024
Short summary
Short summary
Pollutant release history and source identification are helpful for managing water resources, but it remains a challenge to reliably identify such information for real-world, complex transport processes in rivers and aquifers. In this study, we filled this knowledge gap by deriving a general backward governing equation and developing the efficient solver. Field applications showed that this model and solver are applicable for a broad range of flow systems, dimensions, and spatiotemporal scales.
Mennatullah T. Elrashidy, Andrew M. Ireson, and Saman Razavi
Hydrol. Earth Syst. Sci., 27, 4595–4608, https://doi.org/10.5194/hess-27-4595-2023, https://doi.org/10.5194/hess-27-4595-2023, 2023
Short summary
Short summary
Wetlands are important ecosystems that store carbon and play a vital role in the water cycle. However, hydrological computer models do not always represent wetlands and their interaction with groundwater accurately. We tested different possible ways to include groundwater–wetland interactions in these models. We found that the optimal method to include wetlands and groundwater in the models is reliant on the intended use of the models and the characteristics of the land and soil being studied.
Conny Tschritter, Christopher J. Daughney, Sapthala Karalliyadda, Brioch Hemmings, Uwe Morgenstern, and Catherine Moore
Hydrol. Earth Syst. Sci., 27, 4295–4316, https://doi.org/10.5194/hess-27-4295-2023, https://doi.org/10.5194/hess-27-4295-2023, 2023
Short summary
Short summary
Understanding groundwater travel time (groundwater age) is crucial for tracking flow and contaminants. While groundwater age is usually inferred from age tracers, this study utilised two machine learning techniques with common groundwater chemistry data. The results of both methods correspond to traditional approaches. They are useful where hydrochemistry data exist but age tracer data are limited. These methods could help enhance our knowledge, aiding in sustainable freshwater management.
Jose M. Bastias Espejo, Chris Turnadge, Russell S. Crosbie, Philipp Blum, and Gabriel C. Rau
Hydrol. Earth Syst. Sci., 27, 3447–3462, https://doi.org/10.5194/hess-27-3447-2023, https://doi.org/10.5194/hess-27-3447-2023, 2023
Short summary
Short summary
Analytical models estimate subsurface properties from subsurface–tidal load interactions. However, they have limited accuracy in representing subsurface physics and parameter estimation. We derived a new analytical solution which models flow to wells due to atmospheric tides. We applied it to field data and compared our findings with subsurface knowledge. Our results enhance understanding of subsurface systems, providing valuable information on their behavior.
Ronan Abhervé, Clément Roques, Alexandre Gauvain, Laurent Longuevergne, Stéphane Louaisil, Luc Aquilina, and Jean-Raynald de Dreuzy
Hydrol. Earth Syst. Sci., 27, 3221–3239, https://doi.org/10.5194/hess-27-3221-2023, https://doi.org/10.5194/hess-27-3221-2023, 2023
Short summary
Short summary
We propose a model calibration method constraining groundwater seepage in the hydrographic network. The method assesses the hydraulic properties of aquifers in regions where perennial streams are directly fed by groundwater. The estimated hydraulic conductivity appear to be highly sensitive to the spatial extent and density of streams. Such an approach improving subsurface characterization from surface information is particularly interesting for ungauged basins.
Amanda Triplett and Laura E. Condon
Hydrol. Earth Syst. Sci., 27, 2763–2785, https://doi.org/10.5194/hess-27-2763-2023, https://doi.org/10.5194/hess-27-2763-2023, 2023
Short summary
Short summary
Accelerated melting in mountains is a global phenomenon. The Heihe River basin depends on upstream mountains for its water supply. We built a hydrologic model to examine how shifts in streamflow and warming will impact ground and surface water interactions. The results indicate that degrading permafrost has a larger effect than melting glaciers. Additionally, warming temperatures tend to have more impact than changes to streamflow. These results can inform other mountain–valley system studies.
Guillaume Cinkus, Andreas Wunsch, Naomi Mazzilli, Tanja Liesch, Zhao Chen, Nataša Ravbar, Joanna Doummar, Jaime Fernández-Ortega, Juan Antonio Barberá, Bartolomé Andreo, Nico Goldscheider, and Hervé Jourde
Hydrol. Earth Syst. Sci., 27, 1961–1985, https://doi.org/10.5194/hess-27-1961-2023, https://doi.org/10.5194/hess-27-1961-2023, 2023
Short summary
Short summary
Numerous modelling approaches can be used for studying karst water resources, which can make it difficult for a stakeholder or researcher to choose the appropriate method. We conduct a comparison of two widely used karst modelling approaches: artificial neural networks (ANNs) and reservoir models. Results show that ANN models are very flexible and seem great for reproducing high flows. Reservoir models can work with relatively short time series and seem to accurately reproduce low flows.
Wenguang Shi, Quanrong Wang, Hongbin Zhan, Renjie Zhou, and Haitao Yan
Hydrol. Earth Syst. Sci., 27, 1891–1908, https://doi.org/10.5194/hess-27-1891-2023, https://doi.org/10.5194/hess-27-1891-2023, 2023
Short summary
Short summary
The mechanism of radial dispersion is important for understanding reactive transport in the subsurface and for estimating aquifer parameters required in the optimization design of remediation strategies. A general model and associated analytical solutions are developed in this study. The new model represents the most recent advancement on radial dispersion studies and incorporates a host of important processes that are not taken into consideration in previous investigations.
Vanja Travaš, Luka Zaharija, Davor Stipanić, and Siniša Družeta
Hydrol. Earth Syst. Sci., 27, 1343–1359, https://doi.org/10.5194/hess-27-1343-2023, https://doi.org/10.5194/hess-27-1343-2023, 2023
Short summary
Short summary
In order to model groundwater flow in karst aquifers, it is necessary to approximate the influence of the unknown and irregular structure of the karst conduits. For this purpose, a procedure based on inverse modeling is adopted. Moreover, in order to reconstruct the functional dependencies related to groundwater flow, the particle swarm method was used, through which the optimal solution of unknown functions is found by imitating the movement of ants in search of food.
Shouchuan Zhang, Zheming Shi, Guangcai Wang, Zuochen Zhang, and Huaming Guo
Hydrol. Earth Syst. Sci., 27, 401–415, https://doi.org/10.5194/hess-27-401-2023, https://doi.org/10.5194/hess-27-401-2023, 2023
Short summary
Short summary
We documented the step-like increases of water level, flow rate, and water temperatures in a confined aquifer following multiple earthquakes. By employing tidal analysis and a coupled temperature and flow rate model, we find that post-seismic vertical permeability changes and recharge model could explain the co-seismic response. And co-seismic temperature changes are caused by mixing of different volumes of water, with the mixing ratio varying according to each earthquake.
Xiaoying Zhang, Fan Dong, Guangquan Chen, and Zhenxue Dai
Hydrol. Earth Syst. Sci., 27, 83–96, https://doi.org/10.5194/hess-27-83-2023, https://doi.org/10.5194/hess-27-83-2023, 2023
Short summary
Short summary
In a data-driven framework, groundwater levels can generally only be calculated 1 time step ahead. We discuss the advance prediction with longer forecast periods rather than single time steps by constructing a model based on a temporal convolutional network. Model accuracy and efficiency were further compared with an LSTM-based model. The two models derived in this study can help people cope with the uncertainty of what might occur in hydrological scenarios under the threat of climate change.
Dimitri Rambourg, Raphaël Di Chiara, and Philippe Ackerer
Hydrol. Earth Syst. Sci., 26, 6147–6162, https://doi.org/10.5194/hess-26-6147-2022, https://doi.org/10.5194/hess-26-6147-2022, 2022
Short summary
Short summary
The reproduction of flows and contaminations underground requires a good estimation of the parameters of the geological environment (mainly permeability and porosity), in three dimensions. While most researchers rely on geophysical methods, which are costly and difficult to implement in the field, this study proposes an alternative using data that are already widely available: piezometric records (monitoring of the water table) and the lithological description of the piezometric wells.
Raphael Schneider, Julian Koch, Lars Troldborg, Hans Jørgen Henriksen, and Simon Stisen
Hydrol. Earth Syst. Sci., 26, 5859–5877, https://doi.org/10.5194/hess-26-5859-2022, https://doi.org/10.5194/hess-26-5859-2022, 2022
Short summary
Short summary
Hydrological models at high spatial resolution are computationally expensive. However, outputs from such models, such as the depth of the groundwater table, are often desired in high resolution. We developed a downscaling algorithm based on machine learning that allows us to increase spatial resolution of hydrological model outputs, alleviating computational burden. We successfully applied the downscaling algorithm to the climate-change-induced impacts on the groundwater table across Denmark.
Luca Guillaumot, Laurent Longuevergne, Jean Marçais, Nicolas Lavenant, and Olivier Bour
Hydrol. Earth Syst. Sci., 26, 5697–5720, https://doi.org/10.5194/hess-26-5697-2022, https://doi.org/10.5194/hess-26-5697-2022, 2022
Short summary
Short summary
Recharge, defining the renewal rate of groundwater resources, is difficult to estimate at basin scale. Here, recharge variations are inferred from water table variations recorded in boreholes. First, results show that aquifer-scale properties controlling these variations can be inferred from boreholes. Second, groundwater is recharged by both intense and seasonal rainfall. Third, the short-term contribution appears overestimated in recharge models and depends on the unsaturated zone thickness.
Alberto Casillas-Trasvina, Bart Rogiers, Koen Beerten, Laurent Wouters, and Kristine Walraevens
Hydrol. Earth Syst. Sci., 26, 5577–5604, https://doi.org/10.5194/hess-26-5577-2022, https://doi.org/10.5194/hess-26-5577-2022, 2022
Short summary
Short summary
Heat in the subsurface can be used to characterize aquifer flow behaviour. The temperature data obtained can be useful for understanding the groundwater flow, which is of particular importance in waste disposal studies. Satellite images of surface temperature and a temperature–time curve were implemented in a heat transport model. Results indicate that conduction plays a major role in the aquifer and support the usefulness of temperature measurements.
Tunde Olarinoye, Tom Gleeson, and Andreas Hartmann
Hydrol. Earth Syst. Sci., 26, 5431–5447, https://doi.org/10.5194/hess-26-5431-2022, https://doi.org/10.5194/hess-26-5431-2022, 2022
Short summary
Short summary
Analysis of karst spring recession is essential for management of groundwater. In karst, recession is dominated by slow and fast components; separating these components is by manual and subjective approaches. In our study, we tested the applicability of automated streamflow recession extraction procedures for a karst spring. Results showed that, by simple modification, streamflow extraction methods can identify slow and fast components: derived recession parameters are within reasonable ranges.
Min Lu, Bart Rogiers, Koen Beerten, Matej Gedeon, and Marijke Huysmans
Hydrol. Earth Syst. Sci., 26, 3629–3649, https://doi.org/10.5194/hess-26-3629-2022, https://doi.org/10.5194/hess-26-3629-2022, 2022
Short summary
Short summary
Lowland rivers and shallow aquifers are closely coupled. We study their interactions here using a combination of impulse response modeling and hydrological data analysis. The results show that the lowland catchments are groundwater dominated and that the hydrological system from precipitation impulse to groundwater inflow response is a very fast response regime. This study also provides an alternative method to estimate groundwater inflow to rivers from the perspective of groundwater level.
Zhongxia Li, Junwei Wan, Tao Xiong, Hongbin Zhan, Linqing He, and Kun Huang
Hydrol. Earth Syst. Sci., 26, 3359–3375, https://doi.org/10.5194/hess-26-3359-2022, https://doi.org/10.5194/hess-26-3359-2022, 2022
Short summary
Short summary
Four permeable rocks with different pore sizes were considered to provide experimental evidence of Forchheimer flow and the transition between different flow regimes. The mercury injection technique was used to measure the pore size distribution, which is an essential factor for determining the flow regime, for four permeable stones. Finally, the influences of porosity and particle size on the Forchheimer coefficients were discussed.
Andreas Wunsch, Tanja Liesch, Guillaume Cinkus, Nataša Ravbar, Zhao Chen, Naomi Mazzilli, Hervé Jourde, and Nico Goldscheider
Hydrol. Earth Syst. Sci., 26, 2405–2430, https://doi.org/10.5194/hess-26-2405-2022, https://doi.org/10.5194/hess-26-2405-2022, 2022
Short summary
Short summary
Modeling complex karst water resources is difficult enough, but often there are no or too few climate stations available within or close to the catchment to deliver input data for modeling purposes. We apply image recognition algorithms to time-distributed, spatially gridded meteorological data to simulate karst spring discharge. Our models can also learn the approximate catchment location of a spring independently.
Brian Berkowitz
Hydrol. Earth Syst. Sci., 26, 2161–2180, https://doi.org/10.5194/hess-26-2161-2022, https://doi.org/10.5194/hess-26-2161-2022, 2022
Short summary
Short summary
Extensive efforts have focused on quantifying conservative chemical transport in geological formations. We assert that an explicit accounting of temporal information, under uncertainty, in addition to spatial information, is fundamental to an effective modeling formulation. We further assert that efforts to apply chemical transport equations at large length scales, based on measurements and model parameter values relevant to significantly smaller length scales, are an unattainable
holy grail.
Guilherme E. H. Nogueira, Christian Schmidt, Daniel Partington, Philip Brunner, and Jan H. Fleckenstein
Hydrol. Earth Syst. Sci., 26, 1883–1905, https://doi.org/10.5194/hess-26-1883-2022, https://doi.org/10.5194/hess-26-1883-2022, 2022
Short summary
Short summary
In near-stream aquifers, mixing between stream water and ambient groundwater can lead to dilution and the removal of substances that can be harmful to the water ecosystem at high concentrations. We used a numerical model to track the spatiotemporal evolution of different water sources and their mixing around a stream, which are rather difficult in the field. Results show that mixing mainly develops as narrow spots, varying In time and space, and is affected by magnitudes of discharge events.
Jacques Bodin, Gilles Porel, Benoît Nauleau, and Denis Paquet
Hydrol. Earth Syst. Sci., 26, 1713–1726, https://doi.org/10.5194/hess-26-1713-2022, https://doi.org/10.5194/hess-26-1713-2022, 2022
Short summary
Short summary
Assessment of the karst network geometry is an important challenge in the accurate modeling of karst aquifers. In this study, we propose an approach for the identification of effective three-dimensional discrete karst conduit networks conditioned on tracer tests and geophysical data. The applicability of the proposed approach is illustrated through a case study at the Hydrogeological Experimental Site in Poitiers, France.
Zexuan Xu, Rebecca Serata, Haruko Wainwright, Miles Denham, Sergi Molins, Hansell Gonzalez-Raymat, Konstantin Lipnikov, J. David Moulton, and Carol Eddy-Dilek
Hydrol. Earth Syst. Sci., 26, 755–773, https://doi.org/10.5194/hess-26-755-2022, https://doi.org/10.5194/hess-26-755-2022, 2022
Short summary
Short summary
Climate change could change the groundwater system and threaten water supply. To quantitatively evaluate its impact on water quality, numerical simulations with chemical and reaction processes are required. With the climate projection dataset, we used the newly developed hydrological and chemical model to investigate the movement of contaminants and assist the management of contamination sites.
Esther Brakkee, Marjolein H. J. van Huijgevoort, and Ruud P. Bartholomeus
Hydrol. Earth Syst. Sci., 26, 551–569, https://doi.org/10.5194/hess-26-551-2022, https://doi.org/10.5194/hess-26-551-2022, 2022
Short summary
Short summary
Periods of drought often lead to groundwater shortages in large regions, which cause damage to nature and the economy. To take measures, we need a good understanding of where and when groundwater shortage occurs. In this study, we have tested a method that can combine large amounts of groundwater measurements in an automated way and provide detailed maps of how groundwater shortages develop during a drought period. This information can help water managers to limit future groundwater shortages.
Emmanuel Dubois, Marie Larocque, Sylvain Gagné, and Guillaume Meyzonnat
Hydrol. Earth Syst. Sci., 25, 6567–6589, https://doi.org/10.5194/hess-25-6567-2021, https://doi.org/10.5194/hess-25-6567-2021, 2021
Short summary
Short summary
This work demonstrates the relevance of using a water budget model to understand long-term transient and regional-scale groundwater recharge (GWR) in cold and humid climates where groundwater observations are scarce. Monthly GWR is simulated for 57 years on 500 m x 500 m cells in Canada (36 000 km2 area) with limited uncertainty due to a robust automatic calibration method. The increases in precipitation and temperature since the 1960s have not yet produced significant changes in annual GWR.
Yaniv Edery, Martin Stolar, Giovanni Porta, and Alberto Guadagnini
Hydrol. Earth Syst. Sci., 25, 5905–5915, https://doi.org/10.5194/hess-25-5905-2021, https://doi.org/10.5194/hess-25-5905-2021, 2021
Short summary
Short summary
The interplay between dissolution, precipitation and transport is widely encountered in porous media, from CO2 storage to cave formation in carbonate rocks. We show that dissolution occurs along preferential flow paths with high hydraulic conductivity, while precipitation occurs at locations close to yet separated from these flow paths, thus further funneling the flow and changing the probability density function of the transport, as measured on the altered conductivity field at various times.
Karina Y. Gutierrez-Jurado, Daniel Partington, and Margaret Shanafield
Hydrol. Earth Syst. Sci., 25, 4299–4317, https://doi.org/10.5194/hess-25-4299-2021, https://doi.org/10.5194/hess-25-4299-2021, 2021
Short summary
Short summary
Understanding the hydrologic cycle in semi-arid landscapes includes knowing the physical processes that govern where and why rivers flow and dry within a given catchment. To gain this understanding, we put together a conceptual model of what processes we think are important and then tested that model with numerical analysis. The results broadly confirmed our hypothesis that there are three distinct regions in our study catchment that contribute to streamflow generation in quite different ways.
Natascha Brandhorst, Daniel Erdal, and Insa Neuweiler
Hydrol. Earth Syst. Sci., 25, 4041–4059, https://doi.org/10.5194/hess-25-4041-2021, https://doi.org/10.5194/hess-25-4041-2021, 2021
Short summary
Short summary
We compare two approaches for coupling a 2D groundwater model with multiple 1D models for the unsaturated zone. One is non-iterative and very fast. The other one is iterative and involves a new way of treating the specific yield, which is crucial for obtaining a consistent solution in both model compartments. Tested on different scenarios, this new method turns out to be slower than the non-iterative approach but more accurate and still very efficient compared to fully integrated 3D model runs.
Vince P. Kaandorp, Hans Peter Broers, Ype van der Velde, Joachim Rozemeijer, and Perry G. B. de Louw
Hydrol. Earth Syst. Sci., 25, 3691–3711, https://doi.org/10.5194/hess-25-3691-2021, https://doi.org/10.5194/hess-25-3691-2021, 2021
Short summary
Short summary
We reconstructed historical and present-day tritium, chloride, and nitrate concentrations in stream water of a catchment using
land-use-based input curves and calculated travel times of groundwater. Parameters such as the unsaturated zone thickness, mean travel time, and input patterns determine time lags between inputs and in-stream concentrations. The timescale of the breakthrough of pollutants in streams is dependent on the location of pollution in a catchment.
Yueling Ma, Carsten Montzka, Bagher Bayat, and Stefan Kollet
Hydrol. Earth Syst. Sci., 25, 3555–3575, https://doi.org/10.5194/hess-25-3555-2021, https://doi.org/10.5194/hess-25-3555-2021, 2021
Short summary
Short summary
This study utilized spatiotemporally continuous precipitation anomaly (pra) and water table depth anomaly (wtda) data from integrated hydrologic simulation results over Europe in combination with Long Short-Term Memory (LSTM) networks to capture the time-varying and time-lagged relationship between pra and wtda in order to obtain reliable models to estimate wtda at the individual pixel level.
Raoul A. Collenteur, Mark Bakker, Gernot Klammler, and Steffen Birk
Hydrol. Earth Syst. Sci., 25, 2931–2949, https://doi.org/10.5194/hess-25-2931-2021, https://doi.org/10.5194/hess-25-2931-2021, 2021
Short summary
Short summary
This study explores the use of nonlinear transfer function noise (TFN) models to simulate groundwater levels and estimate groundwater recharge from observed groundwater levels. A nonlinear recharge model is implemented in a TFN model to compute the recharge. The estimated recharge rates are shown to be in good agreement with the recharge observed with a lysimeter present at the case study site in Austria. The method can be used to obtain groundwater recharge rates at
sub-yearly timescales.
Franci Gabrovšek and Wolfgang Dreybrodt
Hydrol. Earth Syst. Sci., 25, 2895–2913, https://doi.org/10.5194/hess-25-2895-2021, https://doi.org/10.5194/hess-25-2895-2021, 2021
Short summary
Short summary
The evolution of karst aquifers is often governed by solutions gaining their aggressiveness in depth. Although the principles of
hypogene speleogenesisare known, modelling studies based on reactive flow in fracture networks are missing. We present a model where dissolution at depth is triggered by the mixing of waters of different origin and chemistry. We show how the initial position of the mixing zone and flow instabilities therein determine the position and shape of the final conduits.
Patrick Morrissey, Paul Nolan, Ted McCormack, Paul Johnston, Owen Naughton, Saheba Bhatnagar, and Laurence Gill
Hydrol. Earth Syst. Sci., 25, 1923–1941, https://doi.org/10.5194/hess-25-1923-2021, https://doi.org/10.5194/hess-25-1923-2021, 2021
Short summary
Short summary
Lowland karst aquifers provide important wetland habitat resulting from seasonal flooding on the land surface. This flooding is controlled by surcharging of the karst system, which is very sensitive to changes in rainfall. This study investigates the predicted impacts of climate change on a lowland karst catchment in Ireland and highlights the relative vulnerability to future changing climate conditions of karst systems and any associated wetland habitats.
Liwen Wu, Jesus D. Gomez-Velez, Stefan Krause, Anders Wörman, Tanu Singh, Gunnar Nützmann, and Jörg Lewandowski
Hydrol. Earth Syst. Sci., 25, 1905–1921, https://doi.org/10.5194/hess-25-1905-2021, https://doi.org/10.5194/hess-25-1905-2021, 2021
Short summary
Short summary
With a physically based model that couples flow and heat transport in hyporheic zones, the present study provides the first insights into the dynamics of hyporheic responses to the impacts of daily groundwater withdrawal and river temperature fluctuations, allowing for a better understanding of transient hyporheic exchange processes and hence an improved pumping operational scheme.
Cited articles
Adams, J. J. and Bachu, S.: Equations of state for basin geofluids: algorithm review and intercomparison for brines, Geofluids, 2, 257–271, https://doi.org/10.1046/j.1468-8123.2002.00041.x, 2002.
Asprion, U., Griffel, G., and Elbracht, J.: Die neue Quartärbasis im deutschen Nordseesektor und im Küstenbereich der deutschen Nordsee., Tech. rep., Landesamt für Bergbau, Energie und Geologie, Hannover, 2013.
Batzle, M. and Wang, Z.: Seismic properties of pore fluids, GEOPHYSICS, 57, 1396–1408, https://doi.org/10.1190/1.1443207, 1992.
Benisch, K. and Bauer, S.: Short- and long-term regional pressure build-up during {CO2} injection and its applicability for site monitoring, Int. J. Greenhouse Gas Control, 19, 220–233, https://doi.org/10.1016/j.ijggc.2013.09.002, 2013.
Birkholzer, J. T. and Zhou, Q.: Basin-scale hydrogeologic impacts of CO2 storage: Capacity and regulatory implications, International Journal of Greenhouse Gas Control, 3, 745–756, https://doi.org/10.1016/j.ijggc.2009.07.002, 2009.
Birkholzer, J. T., Zhou, Q., and Tsang, C.-F.: Large-scale impact of CO2 storage in deep saline aquifers: A sensitivity study on pressure response in stratified systems, Int. J. Greenhouse Gas Control, 3, 181–194, https://doi.org/10.1016/j.ijggc.2008.08.002, 2009.
Birkholzer, J. T., Cihan, A., and Zhou, Q.: Impact-driven pressure management via targeted brine extraction – Conceptual studies of CO2 storage in saline formations, Int. J. Greenhouse Gas Control, 7, 168–180, https://doi.org/10.1016/j.ijggc.2012.01.001, 2012.
Bombien, H., Hoffers, B., Breuckmann, S., Helms, M., Lademann, K., Lange, M., Oelrich, A., Reimann, R., Rienäcker, J., and Schmidt, K.: Der Geotektonische Atlas von Niedersachsen und dem deutschen Nordseesektor als geologisches 3D-Modell, Tech. rep., 2012.
Brooks, R. J. and Corey, A. T.: Hydraulic properties of porous media, Hydrology Papers, 3, 1964.
Bruckner, T., Bashmakov, I. A., Mulugetta, Y., Chum, H., Navarro, A. D., Edmonds, J., Faaij, A., Fungtammasan, B., Garg, A., Hertwich, E., Honnery, D., Infield, D., Kainuma, M., Khennas, S., Kim, S., Nimir, H. B., Riahi, K., Strachan, N., Wiser, R., and Zhang, X.: Energy systems, in: Mitigation of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, chap. 7, 511–597, Cambridge University Press, 2014.
Cacace, M., Bayer, U., Marotta, A. M., and Lempp, C.: Driving mechanisms for basin formation and evolution, in: Dynamics of Complex Intracontinental Basins - The Central European Basin System, 37–66, Springer, Berlin/Heidelberg, 2008.
Celia, M. A. and Nordbotten, J. M.: Practical modeling approaches for geological storage of carbon dioxide, Ground Water, 47, 627–638, https://doi.org/10.1111/j.1745-6584.2009.00590.x, 2009.
Celia, M. A., Nordbotten, J. M., Court, B., Dobossy, M., and Bachu, S.: Field-scale application of a semi-analytical model for estimation of CO2 and brine leakage along old wells, International Journal of Greenhouse Gas Control, 5, 257–269, https://doi.org/10.1016/j.ijggc.2010.10.005, 2011.
Cihan, A., Zhou, Q., and Birkholzer, J. T.: Analytical solutions for pressure perturbation and fluid leakage through aquitards and wells in multilayered-aquifer systems, Water Resour. Res., 47, https://doi.org/10.1029/2011WR010721, 2011.
Cihan, A., Birkholzer, J. T., and Zhou, Q.: Pressure buildup and brine migration during CO2 storage in multilayered aquifers., Ground Water, 51, 252–267, https://doi.org/10.1111/j.1745-6584.2012.00972.x, 2013.
Class, H., Ebigbo, A., Helmig, R., Dahle, H. K., Nordbotten, J. M., Celia, M. A., Audigane, P., Darcis, M., Ennis-King, J., Fan, Y., Flemisch, B., Gasda, S. E., Jin, M., Krug, S., Labregere, D., Naderi Beni, A., Pawar, R. J., Sbai, A., Thomas, S. G., Trenty, L., and Wei, L.: A benchmark study on problems related to CO2 storage in geologic formations, Comput. Geosci., 13, 409–434, https://doi.org/10.1007/s10596-009-9146-x, 2009.
Darcis, M., Class, H., Flemisch, B., and Helmig, R.: Storage in Deep Saline Aquifers, Oil & Gas Science and Technology – Revue d'IFP Energies nouvelles, 66, 93–103, https://doi.org/10.2516/ogst/2010037, 2011.
Delfs, J.-O., Nordbeck, J., and Bauer, S.: Upward brine migration resulting from pressure increases in a layered subsurface system, Environ. Earth Sci., 75, 1441, https://doi.org/10.1007/s12665-016-6245-6, 2016.
Doornenbal, J. and Stevenson, A. (Eds.): Petroleum Geological Atlas of the Southern Permian Basin Area, EAGE Publications b.v., Houten, 2010.
DuMux: DUNE for Multi-Phase, Component, Scale, Physics, ... flow and transport in porous media, Department of Hydromechanics and Modelling of Hydrosystems, University Stuttgart, available at: http://www.dumux.org/, 2017.
Eom, J., Edmonds, J., Krey, V., Johnson, N., Longden, T., Luderer, G., Riahi, K., and Van Vuuren, D. P.: The impact of near-term climate policy choices on technology and emission transition pathways, Technological Forecasting and Social Change, 90, 73–88, https://doi.org/10.1016/j.techfore.2013.09.017, 2015.
Fenghour, A., Wakeham, W. A., and Vesovic, V.: The Viscosity of Carbon Dioxide, J. Phys. Chem. Ref. Data, 27, 31, https://doi.org/10.1063/1.556013, 1998.
Flemisch, B., Darcis, M., Erbertseder, K., Faigle, B., Mosthaf, K., Lauser, A., Müthing, S., Nuske, P., Tatomir, A., Wolf, M., and Helmig, R.: DUMUX: DUNE for multi-{phase, component, scale, physics, ...} flow and transport in porous media, Adv. Water Resour., 34, 1102–1112, https://doi.org/10.1016/j.advwatres.2011.03.007, 2011.
Global CCS Institute: The Global Status of CCS: 2016. Summary Report, Tech. rep., Global CCS Institute, Australia, 2016.
Helmig, R.: Multiphase flow and transport processes in the subsurface: A contribution to the modeling of hydrosystems, Springer, 1997.
Huang, X., Bandilla, K. W., Celia, M. A., and Bachu, S.: Basin-scale modeling of CO2 storage using models of varying complexity, Int. J. Greenhouse Gas Control, 20, 73–86, https://doi.org/10.1016/j.ijggc.2013.11.004, 2014.
IEA: Technology Roadmap Carbon Capture and Storage, Tech. rep., International Energy Agency, 2013.
Jähne-Klingberg, F., Wolf, M., Steuer, S., Bense, F., Kaufmann, D., and Weitkamp, A.: Speicherpotenziale im zentralen deutschen Nordsee-Sektor, Technical report, Bundesanstalt für Geowissenschaften und Rohstoffe, Hannover, 2014.
Kaiser, B. O., Cacace, M., and Scheck-Wenderoth, M.: Quaternary channels within the Northeast German Basin and their relevance on double diffusive convective transport processes: Constraints from 3-D thermohaline numerical simulations, Geochem. Geophy. Geosy., 14, 3156–3175, https://doi.org/10.1002/ggge.20192, 2013.
Kaufmann, D., Heim, S., Jähne, F., Steuer, S., Bebiolka, A., Wolf, M., and Kuhlmann, G.: GSN – Generalisiertes, erweitertes Strukturmodell des zentralen deutschen Nordsee-Sektors – Konzept zur Erstellung einer konsistenten Datengrundlage für weiterführende Modellierungen im Bereich des zentralen deutschen Nordsee-Sektors, Tech. rep., Bundesanstalt für Geowissenschaften und Rohstoffe, Hannover, 2014.
Kempka, T., Herd, R., Huenges, E., Jahnke, C., Janetz, S., Jolie, E., Kühn, M., Magri, F., Möller, M., Munoz, G., Ritter, O., Schafrik, W., Schmidt-Hattenberger, C., Tillner, E., Voigt, H. J., and Zimmermann, G.: brine: CO2 – Speicherung in Ostbrandenburg: Implikationen für eine synergetische geothermische Energiegewinnung und Konzeptionierung eines Frühwarnsystems gegen Grundwasserversalzung, Tech. rep., 2013.
Kissinger, A., Noack, V., Knopf, S., Scheer, D., Konrad, W., and Class, H.: Characterization of reservoir conditions for CO2 storage using a dimensionless Gravitational Number applied to the North German Basin, Sustainable Energy Technologies and Assessments, 7, 209–220, https://doi.org/10.1016/j.seta.2014.06.003, 2014.
Kissinger, A., Noack, V., Knopf, S., Konrad, W., Scheer, D., and Class, H.: Program code and results for simulations in publication “Regional-scale brine migration along vertical pathways due to CO2 injection – Part 2: a simulated case study in the North German Basin”, Department of Hydromechanics and Modelling of Hydrosystems, University Stuttgart, available at: https://git.iws.uni-stuttgart.de/dumux-pub/Kissinger2016a.git, 2016.
Kley, J., Franzke, H.-J., Jähne, F., Krawczyk, C., Lohr, T., Reicherter, K., Scheck-Wenderoth, M., Sippel, J., Tanner, D., and van Gent, H.: Strain and stress, in: Dynamics of Complex Intracontinental Basins – The Central European Basin System, 97–124, Springer, Berlin/Heidelberg, 2008.
Knopf, S., May, F., Müller, C., and Gerling, P.: Neuberechnung möglicher Kapazitäten zur CO2 – Speicherung in tiefen Aquifer-Strukturen, Energiewirtschaftliche Tagesfragen, 60, 76–80, 2010.
Kockel, F.: Geotektonischer Atlas von Nordwest-Deutschland 1 : 300 000, Teil 18, Die paläogeographische und strukturelle Entwicklung Nordwestdeutschlands, Band 1. – Unpublished report, Bundesanstalt für Geowissenschaften und Rohstoffe, Hannover, 1998.
Larue, J.: Endlagerung im Tonstein, Entwicklung eines synthetischen Tonsteinstandortes, Teil 2: Standortcharakterisierung. Abschlussberichte zum Vorhaben 3607R02538 “planerische Grundsatzfragen”, Tech. rep., GRS-A-3535, Köln, 2010.
LBEG (Landesamt für Bergbau, Energie und Geologie): CO2-Speicherung, available at: http://www.lbeg.niedersachsen.de/energie_rohstoffe/co2speicherung/co2-speicherung-935.html (last access: June 2017), 2012.
LUGV (Landesamt für Umwelt, Gesundheit und Verbraucherschutz): Hydroisohypsen des oberen genutzten Grundwasserleiters des Landes Brandenburg für das Frühjahr 2011, Daten des LUGV Brandenburg, available at: http://www.mlul.brandenburg.de/cms/detail.php/bb1.c.310481.de (last access: September 2014), 2012.
LUGV (Landesamt für Umwelt, Gesundheit und Verbraucherschutz): Gewässernetz im Land Brandenburg [gewnet25_*.shp] Version 4.0. – Daten des LUGV Brandenburg, available at: http://www.mlul.brandenburg.de/cms/detail.php/bb1.c.310481.de (last access: September 2014), 2014.
Maystrenko, Y., Bayer, U., Brink, H.-J., and Littke, R.: The Central European Basin System – an Overview, in: Dynamics of Complex Intracontinental Basins – The Central European Basin System, 16–34, Springer, Berlin/Heidelberg, 2008.
Mazur, S. and Scheck-Wenderoth, M.: Constraints on the tectonic evolution of the Central European Basin System revealed by seismic reflection profiles from Northern Germany, Netherlands Journal of Geosciences – Geologie en Mijnbouw, 84, 389–401, 2005.
Noack, V., Scheck-Wenderoth, M., Cacace, M., and Schneider, M.: Influence of fluid flow on the regional thermal field: results from 3D numerical modelling for the area of Brandenburg (North German Basin), Environ. Earth Sci., 70, 3523–3544, https://doi.org/10.1007/s12665-013-2438-4, 2013.
Nordbotten, J., Flemisch, B., Gasda, S., Nilsen, H., Fan, Y., Pickup, G., Wiese, B., Celia, M., Dahle, H., Eigestad, G., and Pruess, K.: Uncertainties in practical simulation of CO2 storage, Int. J. Greenhouse Gas Control, 9, 234–242, https://doi.org/10.1016/j.ijggc.2012.03.007, 2012.
Nordbotten, J. M., Kavetski, D., Celia, M. A., and Bachu, S.: Model for CO2 leakage including multiple geological layers and multiple leaky wells, Environ. Sci. Technol., 43, 743–749, 2009.
Oldenburg, C. M. and Rinaldi, A. P.: Buoyancy Effects on Upward Brine Displacement Caused by CO2 Injection, Transport in Porous Media, 87, 525–540, https://doi.org/10.1007/s11242-010-9699-0, 2010.
Reinhold, K., Krull, P., and Kockel, F.: Salzstrukturen Norddeutschlands 1:500 000, Bundesanstalt für Geowissenschaften und Rohstoffe, Berlin/Hannover, 2008.
Reinhold, K., Müller, C., and Riesenberg, C.: Informationssystem Speichergesteine für den Standort Deutschland – Synthese, Tech. rep., Bundesanstalt für Geowissenschaften und Rohstoffe (BGR), Hannover, 2011.
Reutter, E.: Hydrostratigrafische Gliederung Niedersachsens, Geofakten, 21, 1–11, 2011.
Schäfer, F., Walter, L., Class, H., and Müller, C.: The regional pressure impact of CO2 storage: a showcase study from the North German Basin, Environ. Earth Sci., 65, 2037–2049, https://doi.org/10.1007/s12665-011-1184-8, 2011.
Scheer, D., Konrad, W., Class, H., Kissinger, A., Knopf, S., and Noack, V.: Regional-scale brine migration along vertical pathways due to CO2 injection – Part 1: The participatory modeling approach, Hydrol. Earth Syst. Sci., 21, 2739–2750, https://doi.org/10.5194/hess-21-2739-2017, 2017.
Schulz, R., Suchi, E., Öhlschgläger, D., Dittmann, J., Knopf, S., and Müller, C.: Geothermie-Atlas zur Darstellung möglicher Nutzungskonkurrenzen zwischen CCS und Tiefer Geothermie, Tech. rep., LIAG-Bericht, Archiv-Nr. 131 310: 108 S., Hannover, 2013.
Schwenck, N., Beck, M., Becker, B., Class, H., Fetzer, T., Flemisch, B., Grüninger, C., Hommel, J., Jambhekar, V., Kissinger, A., Koch, T., Schneider, M., Schröder, N., Seitz, G., and Weishaupt, K.: DuMuX 2.8.0, https://doi.org/10.5281/zenodo.31611, 2015.
Skalmeraas, O.: The Sleipner CCS experience, in: United Nations Framework Convention on Climate Change, Bonn, October 21, 2014.
Span, R. and Wagner, W.: A New Equation of State for Carbon Dioxide Covering the Fluid Region from the Triple-Point Temperature to 1100 K at Pressures up to 800 MPa, J. Phys. Chem. Ref. Data, 25, 1509, https://doi.org/10.1063/1.555991, 1996.
Tillner, E., Kempka, T., Nakaten, B., and Kühn, M.: Brine migration through fault zones: 3D numerical simulations for a prospective CO2 storage site in Northeast Germany, Int. J. Greenhouse Gas Control, 19, 689–703, https://doi.org/10.1016/j.ijggc.2013.03.012, 2013.
Tillner, E., Langer, M., Kempka, T., and Kühn, M.: Fault damage zone volume and initial salinity distribution determine intensity of shallow aquifer salinisation in subsurface storage, Hydrol. Earth Syst. Sci., 20, 1049–1067, https://doi.org/10.5194/hess-20-1049-2016, 2016.
Walter, L., Binning, P. J., Oladyshkin, S., Flemisch, B., and Class, H.: Brine migration resulting from CO2 injection into saline aquifers – An approach to risk estimation including various levels of uncertainty, Int. J. Greenhouse Gas Control, 9, 495–506, https://doi.org/10.1016/j.ijggc.2012.05.004, 2012.
Walter, L., Binning, P. J., and Class, H.: Predicting salt intrusion into freshwater aquifers resulting from CO2 injection – A study on the influence of conservative assumptions, Adv. Water Resour., 62, 543–554, https://doi.org/10.1016/j.advwatres.2013.09.017, 2013.
Wolf, M., Steuer, S., Jähne, F., Kaufmann, D., and Weitkamp, A.: 3D-Lithofaziesmodell des Buntsandstein in der zentralen deutschen Nordsee, Tech. rep., Bundesanstalt für Geowissenschaften und Rohstoffe, Hannover, 2014.
Zeidouni, M.: Analytical model of leakage through fault to overlying formations, Water Resour. Res., 48, W00N02, https://doi.org/10.1029/2012WR012582, 2012.
Short summary
Stakeholder participation in numerical modeling of brine migration due to injection of CO2 into deep saline aquifers is tested in this work. Part 1 reports the process of participatory modeling on the development of a numerical model and Part 2 discusses essential technical findings obtained through this model showing that notable increases in salt concentrations are confined to regions where they were already high a priori and where barrier layers are discontinuous.
Stakeholder participation in numerical modeling of brine migration due to injection of CO2 into...
