Articles | Volume 27, issue 17
https://doi.org/10.5194/hess-27-3221-2023
© Author(s) 2023. 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-27-3221-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
08 Sep 2023
Research article | Highlight paper |
| 08 Sep 2023
| 08 Sep 2023
Calibration of groundwater seepage against the spatial distribution of the stream network to assess catchment-scale hydraulic properties
Ronan Abhervé
CORRESPONDING AUTHOR
Geosciences Rennes – UMR 6118, Univ. Rennes, CNRS, 35000 Rennes,
France
Centre for Hydrogeology and Geothermics (CHYN), Université de
Neuchâtel, 2000 Neuchâtel, Switzerland
Clément Roques
Geosciences Rennes – UMR 6118, Univ. Rennes, CNRS, 35000 Rennes,
France
Centre for Hydrogeology and Geothermics (CHYN), Université de
Neuchâtel, 2000 Neuchâtel, Switzerland
Alexandre Gauvain
Geosciences Rennes – UMR 6118, Univ. Rennes, CNRS, 35000 Rennes,
France
Laboratoire de Météorologie Dynamique – IPSL, CNRS, Sorbonne Université, 75005 Paris, France
Laurent Longuevergne
Geosciences Rennes – UMR 6118, Univ. Rennes, CNRS, 35000 Rennes,
France
Stéphane Louaisil
Eau du Bassin Rennais, 35000 Rennes, France
Luc Aquilina
Geosciences Rennes – UMR 6118, Univ. Rennes, CNRS, 35000 Rennes,
France
Jean-Raynald de Dreuzy
Geosciences Rennes – UMR 6118, Univ. Rennes, CNRS, 35000 Rennes,
France
Related authors
No articles found.
Cyprien Louis, Landon J. S. Halloran, and Clément Roques
EGUsphere, https://doi.org/10.5194/egusphere-2024-927, https://doi.org/10.5194/egusphere-2024-927, 2024
Short summary
Short summary
We investigate an undocumented rock glacier (RG) and its role in subsurface hydrological processes in an alpine catchment. We compare aerial photos to calculate the creeping velocity of the RG and measure geochemical parameters of water in springs located below the RG. We also investigate the intensity and time-shift of daily melt and dilution processes in a new way to show how the RG and springs are connected. This study improves our conceptual understanding of RG-groundwater interactions.
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.
Lucas Pelascini, Philippe Steer, Maxime Mouyen, and Laurent Longuevergne
Nat. Hazards Earth Syst. Sci., 22, 3125–3141, https://doi.org/10.5194/nhess-22-3125-2022, https://doi.org/10.5194/nhess-22-3125-2022, 2022
Short summary
Short summary
Landslides represent a major natural hazard and are often triggered by typhoons. We present a new 2D model computing the respective role of rainfall infiltration, atmospheric depression and groundwater in slope stability during typhoons. The results show rainfall is the strongest factor of destabilisation. However, if the slope is fully saturated, near the toe of the slope or during the wet season, rainfall infiltration is limited and atmospheric pressure change can become the dominant factor.
Clément Roques, David E. Rupp, Jean-Raynald de Dreuzy, Laurent Longuevergne, Elizabeth R. Jachens, Gordon Grant, Luc Aquilina, and John S. Selker
Hydrol. Earth Syst. Sci., 26, 4391–4405, https://doi.org/10.5194/hess-26-4391-2022, https://doi.org/10.5194/hess-26-4391-2022, 2022
Short summary
Short summary
Streamflow dynamics are directly dependent on contributions from groundwater, with hillslope heterogeneity being a major driver in controlling both spatial and temporal variabilities in recession discharge behaviors. By analysing new model results, this paper identifies the major structural features of aquifers driving streamflow dynamics. It provides important guidance to inform catchment-to-regional-scale models, with key geological knowledge influencing groundwater–surface water interactions.
Nataline Simon, Olivier Bour, Mikaël Faucheux, Nicolas Lavenant, Hugo Le Lay, Ophélie Fovet, Zahra Thomas, and Laurent Longuevergne
Hydrol. Earth Syst. Sci., 26, 1459–1479, https://doi.org/10.5194/hess-26-1459-2022, https://doi.org/10.5194/hess-26-1459-2022, 2022
Short summary
Short summary
Groundwater discharge into streams plays a major role in the preservation of stream ecosystems. There were two complementary methods, both based on the use of the distributed temperature sensing technology, applied in a headwater catchment. Measurements allowed us to characterize the spatial and temporal patterns of groundwater discharge and quantify groundwater inflows into the stream, opening very promising perspectives for a novel characterization of the groundwater–stream interface.
Maxime Mouyen, Romain Plateaux, Alexander Kunz, Philippe Steer, and Laurent Longuevergne
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2021-233, https://doi.org/10.5194/gmd-2021-233, 2021
Preprint withdrawn
Short summary
Short summary
LAPS is an easy to use Matlab code that allows simulating the transport of particles in the ocean without any programming requirement. The simulation is based on publicly available ocean current velocity fields and allows to output particles spatial distribution and trajectories at time intervals defined by the user. After explaining how LAPS is working, we show a few examples of applications for studying sediment transport or plastic littering. The code is available on Github.
Simon Deggim, Annette Eicker, Lennart Schawohl, Helena Gerdener, Kerstin Schulze, Olga Engels, Jürgen Kusche, Anita T. Saraswati, Tonie van Dam, Laura Ellenbeck, Denise Dettmering, Christian Schwatke, Stefan Mayr, Igor Klein, and Laurent Longuevergne
Earth Syst. Sci. Data, 13, 2227–2244, https://doi.org/10.5194/essd-13-2227-2021, https://doi.org/10.5194/essd-13-2227-2021, 2021
Short summary
Short summary
GRACE provides us with global changes of terrestrial water storage. However, the data have a low spatial resolution, and localized storage changes in lakes/reservoirs or mass change due to earthquakes causes leakage effects. The correction product RECOG RL01 presented in this paper accounts for these effects. Its application allows for improving calibration/assimilation of GRACE into hydrological models and better drought detection in earthquake-affected areas.
Alba Zappone, Antonio Pio Rinaldi, Melchior Grab, Quinn C. Wenning, Clément Roques, Claudio Madonna, Anne C. Obermann, Stefano M. Bernasconi, Matthias S. Brennwald, Rolf Kipfer, Florian Soom, Paul Cook, Yves Guglielmi, Christophe Nussbaum, Domenico Giardini, Marco Mazzotti, and Stefan Wiemer
Solid Earth, 12, 319–343, https://doi.org/10.5194/se-12-319-2021, https://doi.org/10.5194/se-12-319-2021, 2021
Short summary
Short summary
The success of the geological storage of carbon dioxide is linked to the availability at depth of a capable reservoir and an impermeable caprock. The sealing capacity of the caprock is a key parameter for long-term CO2 containment. Faults crosscutting the caprock might represent preferential pathways for CO2 to escape. A decameter-scale experiment on injection in a fault, monitored by an integrated network of multiparamerter sensors, sheds light on the mobility of fluids within the fault.
Maxime Mouyen, Philippe Steer, Kuo-Jen Chang, Nicolas Le Moigne, Cheinway Hwang, Wen-Chi Hsieh, Louise Jeandet, Laurent Longuevergne, Ching-Chung Cheng, Jean-Paul Boy, and Frédéric Masson
Earth Surf. Dynam., 8, 555–577, https://doi.org/10.5194/esurf-8-555-2020, https://doi.org/10.5194/esurf-8-555-2020, 2020
Short summary
Short summary
Land erosion creates sediment particles that are redistributed from mountains to oceans through climatic, tectonic and human activities, but measuring the mass of redistributed sediment is difficult. Here we describe a new method combining gravity and photogrammetry measurements, which make it possible to weigh the mass of sediment redistributed by a landslide and a river in Taiwan from 2015 to 2017. Trying this method in other regions will help us to better understand the erosion process.
Elizabeth R. Jachens, David E. Rupp, Clément Roques, and John S. Selker
Hydrol. Earth Syst. Sci., 24, 1159–1170, https://doi.org/10.5194/hess-24-1159-2020, https://doi.org/10.5194/hess-24-1159-2020, 2020
Short summary
Short summary
Recession analysis uses the receding streamflow following precipitation events to estimate watershed-average properties. Two methods for recession analysis use recession events individually or all events collectively. Using synthetic case studies, this paper shows that analyzing recessions collectively produces flawed interpretations. Moving forward, recession analysis using individual recessions should be used to describe the average and variability of watershed behavior.
Jean-Pierre Vergnes, Nicolas Roux, Florence Habets, Philippe Ackerer, Nadia Amraoui, François Besson, Yvan Caballero, Quentin Courtois, Jean-Raynald de Dreuzy, Pierre Etchevers, Nicolas Gallois, Delphine J. Leroux, Laurent Longuevergne, Patrick Le Moigne, Thierry Morel, Simon Munier, Fabienne Regimbeau, Dominique Thiéry, and Pascal Viennot
Hydrol. Earth Syst. Sci., 24, 633–654, https://doi.org/10.5194/hess-24-633-2020, https://doi.org/10.5194/hess-24-633-2020, 2020
Short summary
Short summary
The AquiFR hydrogeological modelling platform aims to provide
short-term-to-seasonal hydrological forecasts over France for daily water management and long-term simulations for climate impact studies. The results described in this study confirm the feasibility of gathering independent groundwater models into the same numerical tool. This new tool encourages the development of groundwater modelling, and it has the potential to be valuable for many operational and research applications.
Mohammad Shamsudduha, Richard G. Taylor, Darren Jones, Laurent Longuevergne, Michael Owor, and Callist Tindimugaya
Hydrol. Earth Syst. Sci., 21, 4533–4549, https://doi.org/10.5194/hess-21-4533-2017, https://doi.org/10.5194/hess-21-4533-2017, 2017
Short summary
Short summary
This study tests the phase and amplitude of GRACE TWS signals in the Upper Nile Basin from five commonly used gridded products (NASA's GRCTellus: CSR, JPL, GFZ; JPL-Mascons; GRGS) using in situ data and soil moisture from the Global Land Data Assimilation System. Resolution of changes in groundwater storage (ΔGWS) from GRACE is greatly constrained by the uncertain simulated soil moisture storage and the low amplitude in ΔGWS observed in deeply weathered crystalline rocks in the Upper Nile Basin.
Jean-Raynald de Dreuzy and Jesus Carrera
Hydrol. Earth Syst. Sci., 20, 1319–1330, https://doi.org/10.5194/hess-20-1319-2016, https://doi.org/10.5194/hess-20-1319-2016, 2016
Short summary
Short summary
Geological heterogeneity enhances spreading of solutes and causes transport to be anomalous with much less mixing and reactivity than suggested by dispersion. We propose formal criteria that should be met by effective transport formalisms to represent advection, spreading and mixing. While relevant for dispersion in heterogeneous porous media, mobile–immobile exchange models induce lower but more sustained resistance to mixing.
A. Armandine Les Landes, L. Aquilina, P. Davy, V. Vergnaud-Ayraud, and C. Le Carlier
Hydrol. Earth Syst. Sci., 19, 1413–1426, https://doi.org/10.5194/hess-19-1413-2015, https://doi.org/10.5194/hess-19-1413-2015, 2015
Short summary
Short summary
The crystalline rock aquifers of the Armorican Massif present clear evidence of a marine origin of the saline component in the fluids on the regional scale. High chloride concentrations are attributed to three past marine transgressions. The relationship between chloride concentration and transgression age provides constraints for the timescales of fluid circulation. This time frame is useful information for developing conceptual models of the paleo-functioning of Armorican aquifers.
A. Boisson, D. Roubinet, L. Aquilina, O. Bour, and P. Davy
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-11-9829-2014, https://doi.org/10.5194/hessd-11-9829-2014, 2014
Revised manuscript not accepted
L. Longuevergne, C. R. Wilson, B. R. Scanlon, and J. F. Crétaux
Hydrol. Earth Syst. Sci., 17, 4817–4830, https://doi.org/10.5194/hess-17-4817-2013, https://doi.org/10.5194/hess-17-4817-2013, 2013
Related subject area
Subject: Groundwater hydrology | Techniques and Approaches: Modelling approaches
Short high-accuracy tritium data time series for assessing groundwater mean transit times in the vadose and saturated zones of the Luxembourg Sandstone aquifer
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
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
Performance assessment of geospatial and time series features on groundwater level forecasting with deep learning
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
Groundwater level forecasting with artificial neural networks: a comparison of long short-term memory (LSTM), convolutional neural networks (CNNs), and non-linear autoregressive networks with exogenous input (NARX)
Groundwater and baseflow drought responses to synthetic recharge stress tests
Determination of vadose zone and saturated zone nitrate lag times using long-term groundwater monitoring data and statistical machine learning
Modelling the hydrological interactions between a fissured granite aquifer and a valley mire in the Massif Central, France
A new criterion for determining the representative elementary volume of translucent porous media and inner contaminant
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).
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.
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.
Mariana Gomez, Maximilian Noelscher, Andreas Hartmann, and Stefan Broda
EGUsphere, https://doi.org/10.5194/egusphere-2023-1836, https://doi.org/10.5194/egusphere-2023-1836, 2023
Short summary
Short summary
To understand the affectations of external factors on the groundwater level modelling with deep learning. We trained, validated, and tuned individually a CNN model in 505 wells distributed throughout the state of Lower Saxony, Germany. Then evaluate the performance against available geospatial features and time series features. New insights are provided about the complexity of controlling factors on groundwater dynamics.
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.
Andreas Wunsch, Tanja Liesch, and Stefan Broda
Hydrol. Earth Syst. Sci., 25, 1671–1687, https://doi.org/10.5194/hess-25-1671-2021, https://doi.org/10.5194/hess-25-1671-2021, 2021
Jost Hellwig, Michael Stoelzle, and Kerstin Stahl
Hydrol. Earth Syst. Sci., 25, 1053–1068, https://doi.org/10.5194/hess-25-1053-2021, https://doi.org/10.5194/hess-25-1053-2021, 2021
Short summary
Short summary
Potential future groundwater and baseflow drought hazards depend on systems' sensitivity to altered recharge conditions. With three generic scenarios, we found different sensitivities across Germany driven by hydrogeology. While changes in drought hazard due to seasonal recharge shifts will be rather low, a lengthening of dry spells could cause stronger responses in regions with slow groundwater response to precipitation, urging local water management to prepare for more severe droughts.
Martin J. Wells, Troy E. Gilmore, Natalie Nelson, Aaron Mittelstet, and John K. Böhlke
Hydrol. Earth Syst. Sci., 25, 811–829, https://doi.org/10.5194/hess-25-811-2021, https://doi.org/10.5194/hess-25-811-2021, 2021
Short summary
Short summary
Groundwater in many agricultural areas contains high levels of nitrate, which is a concern for drinking water supplies. The rate at which nitrate moves through the subsurface is a critical piece of information for predicting how quickly groundwater nitrate levels may improve after agricultural producers change their approach to managing crop water and fertilizers. In this study, we explored a new statistical modeling approach to determine rates at which nitrate moves into and through an aquifer.
Arnaud Duranel, Julian R. Thompson, Helene Burningham, Philippe Durepaire, Stéphane Garambois, Robert Wyns, and Hervé Cubizolle
Hydrol. Earth Syst. Sci., 25, 291–319, https://doi.org/10.5194/hess-25-291-2021, https://doi.org/10.5194/hess-25-291-2021, 2021
Short summary
Short summary
Peat-forming wetlands (mires) provide multiple ecosystem services, which depend on peat remaining waterlogged. Using hydrological modelling, we show that, contrary to a common assumption, groundwater inflow can be a quantitatively important and functionally critical element of the water balance of mires in hard-rock upland and mountain areas. This influence is such that patterns of groundwater upwelling and seepage explain the spatial distribution of mires in the landscape.
Ming Wu, Jianfeng Wu, Jichun Wu, and Bill X. Hu
Hydrol. Earth Syst. Sci., 24, 5903–5917, https://doi.org/10.5194/hess-24-5903-2020, https://doi.org/10.5194/hess-24-5903-2020, 2020
Short summary
Short summary
A new criterion (χi) is proposed to estimate representative elementary volume (REV) of a translucent material based on light transmission techniques. This study is essential for quantitative investigation of the scale effect of porous media and contaminant transformation. The fluid and contaminant migration and transform in porous media can be simulated accurately according to the REV estimation results using the light transmission technique and the appropriate criterion χi.
Cited articles
Abhervé, R.: Python code to test the calibration method of a groundwater flow model using a stream network, Zenodo [code], https://doi.org/10.5281/zenodo.8311547, 2023.
Achtziger-Zupančič, P., Loew, S., and Mariéthoz, G.: A new
global database to improve predictions of permeability distribution in
crystalline rocks at site scale, J. Geophys. Res.-Solid, 122, 3513–3539, https://doi.org/10.1002/2017JB014106, 2017.
Alley, W. M., Healy, R. W., LaBaugh, J. W., and Reilly, T. E.: Flow and
storage in groundwater systems, Science, 296, 1985–1990,
https://doi.org/10.1126/science.1067123, 2002.
Anderson, M. P., Woessner, W. W., and Hunt, R. J.: Applied groundwater
modeling: simulation of flow and advective transport, in: 2nd Edn., Elsevier, AP Academic press is an imprint of Elsevier, Amsterdam, 564 pp., https://doi.org/10.1016/C2009-0-21563-7, 2015.
Bakker, M., Post, V., Langevin, C. D., Hughes, J. D., White, J. T., Starn, J. J., and Fienen, M. N.: Scripting MODFLOW Model Development Using Python and FloPy, Groundwater, 54, 733–739, https://doi.org/10.1111/gwat.12413, 2016.
Barclay, J. R., Starn, J. J., Briggs, M. A., and Helton, A. M.: Improved
Prediction of Management-Relevant Groundwater Discharge Characteristics
Throughout River Networks, Water Resour. Res., 56, 1–19, https://doi.org/10.1029/2020WR028027, 2020.
Beven, K., Asadullah, A., Bates, P., Blyth, E., Chappell, N., Child, S., Cloke, H., Dadson, S., Everard, N., Fowler, H. J., Freer, J., Hannah, D. M.,
Heppell, K., Holden, J., Lamb, R., Lewis, H., Morgan, G., Parry, L., and
Wagener, T.: Developing observational methods to drive future hydrological
science: Can we make a start as a community?, Hydrol. Process., 34, 868–873, https://doi.org/10.1002/hyp.13622, 2020.
Beven, K. J. and Kirkby, M. J.: A physically based, variable contributing
area model of basin hydrology, Hydrol. Sci. Bull., 24, 43–69,
https://doi.org/10.1080/02626667909491834, 1979.
Biancamaria, S., Lettenmaier, D. P., and Pavelsky, T. M.: The SWOT Mission and Its Capabilities for Land Hydrology, Surv. Geophys., 37, 307–337,
https://doi.org/10.1007/s10712-015-9346-y, 2016.
Blazkova, S., Beven, K. J., and Kulasova, A.: On constraining TOPMODEL hydrograph simulations using partial saturated area information, Hydrol. Process., 16, 441–458, https://doi.org/10.1002/hyp.331, 2002.
Blöschl, G., Bierkens, M. F. P., Chambel, A., et al.: Twenty-three unsolved problems in hydrology (UPH) – a community perspective, Hydrolog. Sci. J., 64, 1141–1158, https://doi.org/10.1080/02626667.2019.1620507, 2019.
Bravo, H. R., Jiang, F., and Hunt, R. J.: Using groundwater temperature data
to constrain parameter estimation in a groundwater flow model of a wetland
system, Water Resour. Res., 38, 28-1–28-14, https://doi.org/10.1029/2000wr000172, 2002.
Bresciani, E., Davy, P., and De Dreuzy, J. R.: Is the Dupuit assumption
suitable for predicting the groundwater seepage area in hillslopes?, Water
Resour. Res., 50, 2394–2406, https://doi.org/10.1002/2013WR014284, 2014.
BRGM: Tectonic-lithostratigraphic log with evolution of hydrodynamic parameters according to lithological sets, SIGES Bretagne – Système d'information pour la Gestion des eaux Souterraine en Bretagne, https://sigesbre.brgm.fr/Comparaison-des-parametres-hydrodynamiques-avec-les.html (last access: 1 September 2023), 2018.
Brutsaert, W. and Nieber, J. L.: Regionalized Drought Flow Hydrographs From
a Mature Glaciated Plateau, Water Resour. Res., 13, 637–643, https://doi.org/10.1029/WR013i003p00637, 1977.
Burden, R. L. and Faires, J. D.: 2.1 The Bisection Algorithm, in: Numerical
Analysis, 3rd Edn., PWS Publishers, ISBN 0-87150-857-5, 1985.
Carrera, J., Alcolea, A., Medina, A., Hidalgo, J., and Slooten, L. J.: Inverse problem in hydrogeology, Hydrogeol. J., 13, 206–222,
https://doi.org/10.1007/s10040-004-0404-7, 2005.
Chow, R., Frind, M. E., Frind, E. O., Jones, J. P., Sousa, M. R., Rudolph, D. L., Molson, J. W., and Nowak, W.: Delineating baseflow contribution areas for streams – A model and methods comparison, J. Contam. Hydrol., 195, 11–22, https://doi.org/10.1016/j.jconhyd.2016.11.001, 2016.
Comunian, A. and Renard, P.: Introducing wwhypda: A world-wide collaborative
hydrogeological parameters database, Hydrogeol. J., 17, 481–489,
https://doi.org/10.1007/s10040-008-0387-x, 2009.
Cornette, N., Roques, C., Boisson, A., Courtois, Q., Marçais, J., Launay, J., Pajot, G., Habets, F., and de Dreuzy, J. R.: Hillslope-scale exploration of the relative contribution of base flow, seepage flow and overland flow to streamflow dynamics, J. Hydrol., 610, 127992, https://doi.org/10.1016/j.jhydrol.2022.127992, 2022.
Cromwell, E., Shuai, P., Jiang, P., Coon, E. T., Painter, S. L., Moulton, J.
D., Lin, Y., and Chen, X.: Estimating Watershed Subsurface Permeability From
Stream Discharge Data Using Deep Neural Networks, Front. Earth Sci., 9, 1–13, https://doi.org/10.3389/feart.2021.613011, 2021.
Cuthbert, M. O., Gleeson, T., Moosdorf, N., Befus, K. M., Schneider, A.,
Hartmann, J., and Lehner, B.: Global patterns and dynamics of climate–groundwater interactions, Nat. Clim. Change, 9, 137–141,
https://doi.org/10.1038/s41558-018-0386-4, 2019.
Day, D. G.: Lithologic controls of drainage density: a stud of six small
rural catchments in New England, N.S.W., CATENA, 7, 339–351, 1980.
de Graaf, I., Condon, L., and Maxwell, R.: Hyper-Resolution Continental-Scale 3-D Aquifer Parameterization for Groundwater Modeling, Water Resour. Res., 56, 1–14, https://doi.org/10.1029/2019WR026004, 2020.
Dembélé, M., Hrachowitz, M., Savenije, H. H. G., Mariéthoz, G.,
and Schaefli, B.: Improving the Predictive Skill of a Distributed Hydrological Model by Calibration on Spatial Patterns With Multiple Satellite Data Sets, Water Resour. Res., 56, 1–26, https://doi.org/10.1029/2019WR026085, 2020.
Devauchelle, O., Petroff, A. P., Seybold, H. F., and Rothman, D. H.: Ramification of stream networks, P. Natl. Acad. Sci. USA, 109, 20832–20836, https://doi.org/10.1073/pnas.1215218109, 2012.
De Vries, J. J.: Dynamics of the interface between streams and groundwater
systems in lowland areas, with reference to stream net evolution, J. Hydrol., 155, 39–56, https://doi.org/10.1016/0022-1694(94)90157-0, 1994.
Dewandel, B., Lachassagne, P., Wyns, R., Maréchal, J. C., and Krishnamurthy, N. S.: A generalized 3-D geological and hydrogeological
conceptual model of granite aquifers controlled by single or multiphase
weathering, J. Hydrol., 330, 260–284, https://doi.org/10.1016/j.jhydrol.2006.03.026, 2006.
Dewandel, B., Boisson, A., Amraoui, N., Caballero, Y., Mougin, B., Baltassat, J. M., and Maréchal, J. C.: Improving our ability to model crystalline aquifers using field data combined with a regionalized approach for estimating the hydraulic conductivity field, J. Hydrol., 601,
126652, https://doi.org/10.1016/j.jhydrol.2021.126652, 2021.
Dietrich, W. E. and Dunne, T.: The Channel Head, in: Channel Network Hydrology, edited by: Beven, K. and Kirkby, M. J., Wiley, New York, 175–219, 1993.
Dohman, J. M., Godsey, S. E., and Hale, R. L.: Three-Dimensional Subsurface
Flow Path Controls on Flow Permanence, Water Resour. Res., 57, 1–18,
https://doi.org/10.1029/2020WR028270, 2021.
Domenico, P. A. and Schwartz, F. W.: Physical and Chemical Hydrogeology, 2nd Edn.,
John Wiley & Sons, Inc., ISBN 978-0-471-59762-9, 1990.
Dunne, T.: Formation and controls of channel networks, Prog. Phys. Geogr., 4, 211–239, https://doi.org/10.1177/030913338000400204, 1975.
Eckhardt, K. and Ulbrich, U.: Potential impacts of climate change on
groundwater recharge and streamflow in a central European low mountain range, J. Hydrol., 284, 244–252, https://doi.org/10.1016/j.jhydrol.2003.08.005, 2003.
Elshall, A. S., Arik, A. D., El-Kadi, A. I., Pierce, S., Ye, M., Burnett, K.
M., Wada, C. A., Bremer, L. L., and Chun, G.: Groundwater sustainability: a
review of the interactions between science and policy, Environ. Res. Lett.,
15, 093004, https://doi.org/10.1088/1748-9326/ab8e8c, 2020.
Etter, S., Strobl, B., Seibert, J., and van Meerveld, H. J. I.: Value of
Crowd-Based Water Level Class Observations for Hydrological Model Calibration, Water Resour. Res., 56, 1–17, https://doi.org/10.1029/2019WR026108, 2020.
Fan, Y.: Groundwater in the Earth's critical zone: Relevance to large-scale
patterns and processes, Water Resour. Res., 51, 3052–3069,
https://doi.org/10.1002/2015WR017037, 2015.
Fan, Y., Li, H., and Miguez-Macho, G.: Global Patterns of Groundwater Table
Depth, Science, 339, 940–943, https://doi.org/10.1126/science.1229881, 2013.
Fan, Y., Richard, S., Bristol, R. S., Peters, S. E., Ingebritsen, S. E.,
Moosdorf, N., Packman, A., Gleeson, T., Zaslavsky, I., Peckham, S., Murdoch,
L., Fienen, M., Cardiff, M., Tarboton, D., Jones, N., Hooper, R., Arrigo, J., Gochis, D., Olson, J., and Wolock, D.: DigitalCrust – a 4D data system of material properties for transforming research on crustal fluid flow, Geofluids, 15, 372–379, https://doi.org/10.1111/gfl.12114, 2015.
Fan, Y., Clark, M., Lawrence, D. M., Swenson, S., Band, L. E., Brantley, S.
L., Brooks, P. D., Dietrich, W. E., Flores, A., Grant, G., Kirchner, J. W.,
Mackay, D. S., McDonnell, J. J., Milly, P. C. D., Sullivan, P. L., Tague, C., Ajami, H., Chaney, N., Hartmann, A., Hazenberg, P., McNamara, J., Pelletier, J., Perket, J., Rouholahnejad-Freund, E., Wagener, T., Zeng, X., Beighley, E., Buzan, J., Huang, M., Livneh, B., Mohanty, B. P., Nijssen, B., Safeeq, M., Shen, C., van Verseveld, W., Volk, J., and Yamazaki, D.: Hillslope Hydrology in Global Change Research and Earth System Modeling, Water Resour. Res., 55, 1737–1772, https://doi.org/10.1029/2018WR023903, 2019.
Fleckenstein, J. H., Niswonger, R. G., and Fogg, G. E.: River-aquifer interactions, geologic heterogeneity, and low-flow management, Ground Water,
44, 837–852, https://doi.org/10.1111/j.1745-6584.2006.00190.x, 2006.
Fovet, O., Belemtougri, A., Boithias, L., Marylise, J. C., Kevin, C., and
Braud, I.: Intermittent rivers and ephemeral streams: Perspectives for critical zone science and research on socio-ecosystems, 8, 1–33, https://doi.org/10.1002/wat2.1523, 2021.
Franks, S. W., Gineste, P., Beven, K. J., and Merot, P.: On constraining the
predictions of a distributed model: The incorporation of fuzzy estimates of
saturated areas into the calibration process, Water Resour. Res., 34, 787–797, https://doi.org/10.1029/97WR03041, 1998.
Freeze, R. A. and Cherry, J. A.: Groundwater, edited by: Prentice-Hall,
Englewood Cliffs, NJ, 604 pp., ISBN 978-0133653120, 1979.
Gauvain, A., Leray, S., Marçais, J., and Roques, C.: Geomorphological
Controls on Groundwater Transit Times: A Synthetic Analysis at the Hillslope Scale, Water Resour. Res., 57, e2020WR029463, https://doi.org/10.1029/2020WR029463, 2021.
Gleeson, T. and Manning, A. H.: Regional groundwater flow in mountainous
terrain: Three-dimensional simulations of topographic and hydrogeologic
controls, Water Resour. Res., 44, W10403, https://doi.org/10.1029/2008WR006848, 2008.
Gleeson, T., Moosdorf, N., Hartmann, J., and van Beek, L. P. H.: A glimpse
beneath earth's surface: GLobal HYdrogeology MaPS (GLHYMPS) of permeability
and porosity, Geophys. Res. Lett., 41, 3891–3898, https://doi.org/10.1002/2014GL059856, 2014.
Gleeson, T., Wagener, T., Döll, P., Zipper, S. C., West, C., Wada, Y.,
Taylor, R., Scanlon, B., Rosolem, R., Rahman, S., Oshinlaja, N., Maxwell, R., Lo, M. H., Kim, H., Hill, M., Hartmann, A., Fogg, G., Famiglietti, J. S., Ducharne, A., De Graaf, I., Cuthbert, M., Condon, L., Bresciani, E., and Bierkens, M. F. P.: GMD perspective: The quest to improve the evaluation of
groundwater representation in continental-to global-scale models, Geosci.
Model Dev., 14, 7545–7571, https://doi.org/10.5194/gmd-14-7545-2021, 2021.
Goderniaux, P., Davy, P., Bresciani, E., de Dreuzy, J. R., and Le Borgne, T.: Partitioning a regional groundwater flow system into shallow local and deep regional flow compartments, Water Resour. Res., 49, 2274–2286,
https://doi.org/10.1002/wrcr.20186, 2013.
Godsey, S. E. and Kirchner, J. W.: Dynamic, discontinuous stream networks:
Hydrologically driven variations in active drainage density, flowing channels and stream order, Hydrol. Process., 28, 5791–5803, https://doi.org/10.1002/hyp.10310, 2014.
Grayson, R. B. and Blöschl, G. (Eds.): Spatial Patterns in Catchment Hydrology:
Observations and Modelling, Cambridge University Press, Cambridge, UK, 404 pp., ISBN 0 521 63316 8, 2000.
Grill, G., Lehner, B., Thieme, M., Geenen, B., Tickner, D., Antonelli, F.,
Babu, S., Borrelli, P., Cheng, L., Crochetiere, H., Ehalt Macedo, H., Filgueiras, R., Goichot, M., Higgins, J., Hogan, Z., Lip, B., McClain, M. E., Meng, J., Mulligan, M., Nilsson, C., Olden, J. D., Opperman, J. J., Petry, P., Reidy Liermann, C., Sáenz, L., Salinas-Rodríguez, S., Schelle, P., Schmitt, R. J. P., Snider, J., Tan, F., Tockner, K., Valdujo, P. H., van Soesbergen, A., and Zarfl, C.: Mapping the world's free-flowing rivers, Nature, 569, 215–221, https://doi.org/10.1038/s41586-019-1111-9, 2019.
Güntner, A., Seibert, J., and Uhlenbrook, S.: Modeling spatial patterns
of saturated areas: An evaluation of different terrain indices, Water Resour. Res., 40, 1–19, https://doi.org/10.1029/2003WR002864, 2004.
Haitjema, H. M. and Mitchell-Bruker, S.: Are water tables a subdued replica
of the topography?, Ground Water, 43, 781–786, https://doi.org/10.1111/j.1745-6584.2005.00090.x, 2005.
Harbaugh, A. W.: MODFLOW-2005: the U.S. Geological Survey modular ground-water model–the ground-water flow process, Techniques and Methods,
USGS, https://doi.org/10.3133/tm6A16, 2005.
Hartmann, J. and Moosdorf, N.: The new global lithological map database GLiM: A representation of rock properties at the Earth surface, Geochem. Geophy. Geosy., 13, 1–37, https://doi.org/10.1029/2012GC004370, 2012.
Hawker, L., Uhe, P., Paulo, L., Sosa, J., Savage, J., Sampson, C., and Neal,
J.: A 30 m global map of elevation with forests and buildings removed, Environ. Res. Lett., 17, 024016, https://doi.org/10.1088/1748-9326/ac4d4f, 2022.
Hengl, T., De Jesus, J. M., Heuvelink, G. B. M., Gonzalez, M. R., Kilibarda,
M., Blagotiæ, A., Shangguan, W., Wright, M. N., Geng, X., Bauer-Marschallinger, B., Guevara, M. A., Vargas, R., MacMillan, R. A., Batjes, N. H., Leenaars, J. G. B., Ribeiro, E., Wheeler, I., Mantel, S., and
Kempen, B.: SoilGrids250m: Global gridded soil information based on machine
learning, PLOS ONE, 12, e0169748, https://doi.org/10.1371/journal.pone.0169748, 2017.
Holman, I. P., Allen, D. M., Cuthbert, M. O., and Goderniaux, P.: Towards best practice for assessing the impacts of climate change on groundwater,
Hydrogeol. J., 20, 1–4, https://doi.org/10.1007/s10040-011-0805-3, 2012.
Hrachowitz, M., Savenije, H. H. G., Blöschl, G., McDonnell, J. J.,
Sivapalan, M., Pomeroy, J. W., Arheimer, B., Blume, T., Clark, M. P., Ehret,
U., Fenicia, F., Freer, J. E., Gelfan, A., Gupta, H. V., Hughes, D. A., Hut,
R. W., Montanari, A., Pande, S., Tetzlaff, D., Troch, P. A., Uhlenbrook, S.,
Wagener, T., Winsemius, H. C., Woods, R. A., Zehe, E., and Cudennec, C.: A
decade of Predictions in Ungauged Basins (PUB) – a review, Hydrolog. Sci. J., 58, 1198–1255, https://doi.org/10.1080/02626667.2013.803183, 2013.
Hsieh, P. A., Bredehoeft, J. D., and Farr, J. M.: Determination of aquifer
transmissivity from Earth tide analysis, Water Resour. Res., 23, 1824–1832,
https://doi.org/10.1029/WR023i010p01824, 1987.
Huscroft, J., Gleeson, T., Hartmann, J., and Börker, J.: Compiling and
Mapping Global Permeability of the Unconsolidated and Consolidated Earth:
GLobal HYdrogeology MaPS 2.0 (GLHYMPS 2.0), Geophys. Res. Lett., 45, 1897–1904, https://doi.org/10.1002/2017GL075860, 2018.
IGN: Le modèle numérique de terrain (MNT) maillé qui décrit
le relief du territoire français à moyenne échelle BD
ALTI® version 2021, Information Géographique sur l'Eau et Institut National de l'Information Géographique et Forestière [data set], https://geoservices.ign.fr/bdalti (last access: 1 September 2023), 2021.
IGN and OFB: Jeu de données des cours d'eau de France métropolitaine
BD TOPAGE®version 2019, Office Français de la Biodiversité (OFB) – Information Géographique sur l'Eau et Institut
National de l'Information Géographique et Forestière [data set], https://bdtopage.eaufrance.fr/ (last access: 1 September 2023), 2019.
Jefferson, A., Grant, G. E., Lewis, S. L., and Lancaster, S. T.: Coevolution
of hydrology and topography on a basalt landscape in the Oregon Cascade Range, USA, Earth Surf. Proc. Land., 35, 803–816, https://doi.org/10.1002/esp.1976, 2010.
Jiménez-Martínez, J., Longuevergne, L., Le Borgne, T., Davy, P.,
Russian, A., and Bour, O.: Temporal and spatial scaling of hydraulic response to recharge in fractured aquifers: Insights from a frequency domain analysis, Water Resour. Res., 49, 3007–3023, https://doi.org/10.1002/wrcr.20260, 2013.
Kolbe, T., Marçais, J., Thomas, Z., Abbott, B. W., de Dreuzy, J.-R.,
Rousseau-Gueutin, P., Aquilina, L., Labasque, T., and Pinay, G.: Coupling 3D
groundwater modeling with CFC-based age dating to classify local groundwater
circulation in an unconfined crystalline aquifer, J. Hydrol., 543, 31–46,
https://doi.org/10.1016/j.jhydrol.2016.05.020, 2016.
Kuang, X. and Jiao, J. J.: An integrated permeability-depth model for Earth's crust, Geophys. Res. Lett., 2, 7539–7545, https://doi.org/10.1002/2014GL061999, 2014.
Laurent, A., Le Cozannet, G., Couëffé, R., Schroetter, J.-M., Croiset, N., and Lions, J.: Vulnérabilité des aquifères
côtiers face aux intrusions salines en Normandie occidentale, Rapp. Final BRGM/RP-66052-FR, 189 pp., BRGM, https://infoterre.brgm.fr/rapports/RP-66052-FR.pdf (last access: 1 September 2023), 2017.
Le Borgne, T., Bour, O., Paillet, F. L., and Caudal, J. P.: Assessment of
preferential flow path connectivity and hydraulic properties at single-borehole and cross-borehole scales in a fractured aquifer, J. Hydrol., 328, 347–359, https://doi.org/10.1016/j.jhydrol.2005.12.029, 2006.
Lehner, B. and Grill, G.: Global river hydrography and network routing:
Baseline data and new approaches to study the world's large river systems,
Hydrol. Process., 27, 2171–2186, https://doi.org/10.1002/hyp.9740, 2013.
Lehner, B., Verdin, K., and Jarvis, A.: New global hydrography derived from spaceborne
elevation data, T. EOS, 89, 93–94, 2013 (data available at: https://www.hydrosheds.org, last access: 1 September 2023)
Leibowitz, S. G., Wigington, P. J., Schofield, K. A., Alexander, L. C.,
Vanderhoof, M. K., and Golden, H. E.: Connectivity of Streams and Wetlands
to Downstream Waters: An Integrated Systems Framework, J. Am. Water Resour.
Assoc., 54, 298–322, https://doi.org/10.1111/1752-1688.12631, 2018.
Le Moine, N.: Le bassin versant de surface vu par le souterrain: une voie d’amélioration des performances et du réalisme des modèles pluie-débit?, Thèse de doctorat, Université Pierre et Marie Curie, 348 pp., 2008.
Le Moigne, P., Besson, F., Martin, E., Boé, J., Boone, A., Decharme, B., Etchevers, P., Faroux, S., Habets, F., Lafaysse, M., Leroux, D., and Rousset-Regimbeau, F.: The latest improvements with SURFEX v8.0 of the Safran–Isba–Modcou hydrometeorological model for France, Geosci. Model Dev., 13, 3925–3946, https://doi.org/10.5194/gmd-13-3925-2020, 2020.
Leray, S., de Dreuzy, J. R., Bour, O., Labasque, T., and Aquilina, L.:
Contribution of age data to the characterization of complex aquifers, J.
Hydrol., 464–465, 54–68, https://doi.org/10.1016/J.JHYDROL.2012.06.052, 2012.
Levizzani, V. and Cattani, E.: Satellite Remote Sensing of Precipitation and
the Terrestrial Water Cycle in a Changing Climate, Remote Sens., 11,
2301, https://doi.org/10.3390/rs11192301, 2019.
Lindsay, J. B.: Whitebox GAT: A case study in geomorphometric analysis, Comput. Geosci., 95, 75–84, https://doi.org/10.1016/j.cageo.2016.07.003, 2016.
Linke, S., Lehner, B., Ouellet Dallaire, C., Ariwi, J., Grill, G., Anand, M., Beames, P., Burchard-Levine, V., Maxwell, S., Moidu, H., Tan, F., and Thieme, M.: Global hydro-environmental sub-basin and river reach characteristics at high spatial resolution, Sci. Data, 6, 1–16, https://doi.org/10.1038/s41597-019-0300-6, 2019.
Litwin, D. G., Tucker, G. E., Barnhart, K. R., and Harman, C. J.: Groundwater Affects the Geomorphic and Hydrologic Properties of Coevolved Landscapes, J. Geophys. Res.-Earth, 127, 1–36, https://doi.org/10.1029/2021JF006239, 2022.
Lovill, S. M., Hahm, W. J., and Dietrich, W. E.: Drainage from the Critical Zone: Lithologic Controls on the Persistence and Spatial Extent of Wetted Channels during the Summer Dry Season, Water Resour. Res., 54, 5702–5726, https://doi.org/10.1029/2017WR021903, 2018.
Luijendijk, E.: Transmissivity and groundwater flow exert a strong influence on drainage density, Earth Surf. Dynam., 10, 1–22, https://doi.org/10.5194/esurf-10-1-2022, 2022.
Luo, W. and Stepinski, T.: Identification of geologic contrasts from landscape dissection pattern: An application to the Cascade Range, Oregon, USA, Geomorphology, 99, 90–98, https://doi.org/10.1016/j.geomorph.2007.10.014, 2008.
Luo, W., Grudzinski, B. P., and Pederson, D.: Estimating hydraulic conductivity from drainage patterns – a case study in the Oregon Cascades,
Geology, 38, 335–338, https://doi.org/10.1130/G30816.1, 2010.
Luo, W., Jasiewicz, J., Stepinski, T., Wang, J., Xu, C., and Cang, X.: Spatial association between dissection density and environmental factors over the entire conterminous United States, Geophys. Res. Lett., 43, 692–700, https://doi.org/10.1002/2015GL066941, 2016.
Marçais, J. and de Dreuzy, J. R.: Prospective Interest of Deep Learning
for Hydrological Inference, Groundwater, 55, 688–692, https://doi.org/10.1111/gwat.12557, 2017.
Mardhel, V., Pinson, S., and Allier, D.: Description of an indirect method
(IDPR) to determine spatial distribution of infiltration and runoff and its
hydrogeological applications to the French territory, J. Hydrol., 592,
125609, https://doi.org/10.1016/j.jhydrol.2020.125609, 2021.
Mendoza, G. F., Steenhuis, T. S., Walter, M. T., and Parlange, J. Y.: Estimating basin-wide hydraulic parameters of a semi-arid mountainous watershed by recession-flow analysis, J. Hydrol., 279, 57–69,
https://doi.org/10.1016/S0022-1694(03)00174-4, 2003.
Merot, P., Squividant, H., Aurousseau, P., Hefting, M., Burt, T., Maitre, V., Kruk, M., Butturini, A., Thenail, C., and Viaud, V.: Testing a climato-topographic index for predicting wetlands distribution along an European climate gradient, Ecol. Model., 163, 51–71,
https://doi.org/10.1016/S0304-3800(02)00387-3, 2003.
Messager, M. L., Lehner, B., Cockburn, C., Lamouroux, N., Pella, H., Snelder, T., Tockner, K., Trautmann, T., Watt, C., and Datry, T.: Global prevalence of non-perennial rivers and streams, Nature, 594, 391–397, https://doi.org/10.1038/s41586-021-03565-5, 2021.
Mougin, B., Allier, D., Blanchin, R., Carn, A., Courtois, N., Gateau, C.,
and Putot, E.: SILURES Bretagne (Système d'Information pour la
Localisation et l'Utilisation des Ressources en Eaux Souterraines), BRGM, http://infoterre.brgm.fr/rapports/RP-56457-FR.pdf (last access: 1 September 2023), 2008.
Niswonger, R. G., Panday, S., and Ibaraki, M.: MODFLOW-NWT, A Newton formulation for
MODFLOW-2005: U.S. Geological Survey Techniques and Methods 6–A37, 44 pp., https://pubs.usgs.gov/tm/tm6a37/pdf/tm6a37.pdf (last access: 1 September 2023), 2011.
Noilhan, J. and Mahfouf, J. F.: The ISBA land surface parameterisation scheme, Global Planet. Change, 13, 145–159, https://doi.org/10.1016/0921-8181(95)00043-7, 1996.
Pasquet, S., Marçais, J., Hayes, J. L., Sak, P. B., Ma, L., and Gaillardet, J.: Catchment-scale architecture of the deep critical zone
revealed by seismic imaging, Geophys. Res. Lett., 49, 1–13, https://doi.org/10.1029/2022gl098433, 2022.
Pederson, D. T.: Stream Piracy Revisited: A Groundwater-Sapping Solution,
GSA Today, 4–10, https://doi.org/10.1130/1052-5173(2001)011<0004:SPRAGS>2.0.CO;2, 2001.
Pelletier, J. D., Broxton, P. D., Hazenberg, P., Zeng, X., Troch, P. A., Niu, G. Y., Williams, Z., Brunke, M. A., and Gochis, D.: A gridded global data set of soil, intact regolith, and sedimentary deposit thicknesses for regional and global land surface modeling, J. Adv. Model. Earth Syst., 8, 41–65, https://doi.org/10.1002/2015MS000526, 2016.
Prancevic, J. P. and Kirchner, J. W.: Topographic Controls on the Extension
and Retraction of Flowing Streams, Geophys. Res. Lett., 46, 2084–2092,
https://doi.org/10.1029/2018GL081799, 2019.
Quintana-Seguí, P., Le Moigne, P., Durand, Y., Martin, E., Habets, F.,
Baillon, M., Canellas, C., Franchisteguy, L., and Morel, S.: Analysis of
near-surface atmospheric variables: Validation of the SAFRAN analysis over
France, J. Appl. Meteorol. Clim., 47, 92–107, https://doi.org/10.1175/2007JAMC1636.1, 2008.
Ranjram, M., Gleeson, T., and Luijendijk, E.: Is the permeability of crystalline rock in the shallow crust related to depth, lithology or tectonic setting?, 15, 106–119, https://doi.org/10.1111/gfl.12098, 2015.
Rapinel, S., Panhelleux, L., Gayet, G., Vanacker, R., Lemercier, B., Laroche, B., Chambaud, F., Guelmami, A., and Hubert-Moy, L.: National wetland mapping using remote-sensing-derived environmental variables, archive field data, and artificial intelligence, Heliyon, 9, 1–17, https://doi.org/10.1016/j.heliyon.2023.e13482, 2023.
Refsgaard, J. C., Hojberg, A. L., Moller, I., Hansen, M., and Sondergaard, V.: Groundwater modeling in integrated water resources management – visions
for 2020, Ground Water, 48, 633–648, https://doi.org/10.1111/j.1745-6584.2009.00634.x, 2010.
Reichstein, M., Camps-Valls, G., Stevens, B., Jung, M., Denzler, J., Carvalhais, N., and Prabhat: Deep learning and process understanding for data-driven Earth system science, Nature, 566, 195–204, 2019.
Renard, P.: The future of hydraulic tests, Hydrogeol. J., 13, 259–262,
https://doi.org/10.1007/s10040-004-0406-5, 2005.
Roques, C., Aquilina, L., Bour, O., Maréchal, J. C., Dewandel, B., Pauwels, H., Labasque, T., Vergnaud-Ayraud, V., and Hochreutener, R.: Groundwater sources and geochemical processes in a crystalline fault aquifer, J. Hydrol., 519, 3110–3128, https://doi.org/10.1016/j.jhydrol.2014.10.052, 2014.
Roques, C., Bour, O., Aquilina, L., and Dewandel, B.: High-yielding aquifers
in crystalline basement: insights about the role of fault zones, exemplified
by Armorican Massif, France, Hydrogeol. J., 24, 2157–2170,
https://doi.org/10.1007/s10040-016-1451-6, 2016.
Rotzoll, K. and El-Kadi, A. I.: Estimating hydraulic properties of coastal
aquifers using wave setup, J. Hydrol., 353, 201–213, https://doi.org/10.1016/j.jhydrol.2008.02.005, 2008.
Schilling, O. S., Cook, P. G., and Brunner, P.: Beyond Classical Observations in Hydrogeology: The Advantages of Including Exchange Flux, Temperature, Tracer Concentration, Residence Time, and Soil Moisture Observations in Groundwater Model Calibration, Rev. Geophys., 57, 146–182,
https://doi.org/10.1029/2018RG000619, 2019.
Schneider, A., Jost, A., Coulon, C., Silvestre, M., Théry, S., and Ducharne, A.: Global-scale river network extraction based on high-resolution
topography and constrained by lithology, climate, slope, and observed
drainage density, Geophys. Res. Lett., 44, 2773–2781, https://doi.org/10.1002/2016GL071844, 2017.
Schumm, S. A., Boyd, K. F., Wolff, C. G., and Spitz, W. J.: A ground-water
sapping landscape in the Florida Panhandle, Geomorphology, 12, 281–297, 1995.
Shangguan, W., Hengl, T., Mendes de Jesus, J., Yuan, H., and Dai, Y.: Mapping the global depth to bedrock for land surface modeling, J. Adv. Model. Earth Syst., 9, 65–88, https://doi.org/10.1002/2016MS000686, 2017.
Sivapalan, M., Takeuchi, K., Franks, S. W., Gupta, V. K., Karambiri, H.,
Lakshmi, V., Liang, X., McDonnell, J. J., Mendiondo, E. M., O'Connell, P. E., Oki, T., Pomeroy, J. W., Schertzer, D., Uhlenbrook, S., and Zehe, E.: IAHS Decade on Predictions in Ungauged Basins (PUB), 2003-2012: Shaping an exciting future for the hydrological sciences, Hydrolog. Sci. J., 48, 857–880, https://doi.org/10.1623/hysj.48.6.857.51421, 2003.
Sophocleous, M.: Interactions between groundwater and surface water: the state of the science, Hydrogeol. J., 10, 52–67, https://doi.org/10.1007/s10040-001-0170-8, 2002.
Stoll, S. and Weiler, M.: Explicit simulations of stream networks to guide
hydrological modelling in ungauged basins, Hydrol. Earth Syst. Sci., 14,
1435–1448, https://doi.org/10.5194/hess-14-1435-2010, 2010.
Strahler, A. N.: Quantitative geomorphology of drainage basins and channel
networks, in: Handb. Appl. Hydrol., edited by: Chow, V. T., McGraw-Hill, New York, 439–476, 1964.
Tashie, A., Pavelsky, T. M., Band, L., and Topp, S.: Watershed-Scale
Effective Hydraulic Properties of the Continental United States, J. Adv. Model. Earth Syst., 13, 1–18, https://doi.org/10.1029/2020MS002440, 2021.
Taylor, R. G., Scanlon, B., Doll, P., Rodell, M., van Beek, R., Wada, Y.,
Longuevergne, L., Leblanc, M., Famiglietti, J. S., Edmunds, M., Konikow, L.,
Green, T. R., Chen, J. Y., Taniguchi, M., Bierkens, M. F. P., MacDonald, A.,
Fan, Y., Maxwell, R. M., Yechieli, Y., Gurdak, J. J., Allen, D. M., Shamsudduha, M., Hiscock, K., Yeh, P. J. F., Holman, I., and Treidel, H.:
Ground water and climate change, Nat. Clim. Change, 3, 322–329,
https://doi.org/10.1038/nclimate1744, 2013.
Tootchi, A., Jost, A., and Ducharne, A.: Multi-source global wetland maps
combining surface water imagery and groundwater constraints, Earth Syst. Sci. Data, 11, 189–220, https://doi.org/10.5194/essd-11-189-2019, 2019.
Troch, P. A., Berne, A., Bogaart, P., Harman, C., Hilberts, A. G. J., Lyon, S. W., Paniconi, C., Pauwels, V. R. N., Rupp, D. E., Selker, J. S., Teuling,
A. J., Uijlenhoet, R., and Verhoest, N. E. C.: The importance of hydraulic
groundwater theory in catchment hydrology: The legacy of Wilfried Brutsaert
and Jean-Yves Parlange, Water Resour. Res., 49, 5099–5116, https://doi.org/10.1002/wrcr.20407, 2013.
Vannier, O., Braud, I., and Anquetin, S.: Regional estimation of catchment-scale soil properties by means of streamflow recession analysis
for use in distributed hydrological models, Hydrol. Process., 28, 6276–6291, https://doi.org/10.1002/hyp.10101, 2014.
Vautier, C., Abhervé, R., Labasque, T., Laverman, A. M., Guillou, A.,
Chatton, E., Dupont, P., Aquilina, L., and de Dreuzy, J.-R.: Mapping gas
exchanges in headwater streams with membrane inlet mass spectrometry, J.
Hydrol., 581, 124398, https://doi.org/10.1016/j.jhydrol.2019.124398, 2019.
Vergnes, J.-P., Roux, N., Habets, F., Ackerer, P., Amraoui, N., Besson, F.,
Caballero, Y., Courtois, Q., de Dreuzy, J.-R., Etchevers, P., Gallois, N.,
Leroux, D. J., Longuevergne, L., Le Moigne, P., Morel, T., Munier, S., Regimbeau, F., Thiéry, D., and Viennot, P.: The AquiFR hydrometeorological modelling platform as a tool for improving groundwater
resource monitoring over France: evaluation over a 60-year period, Hydrol.
Earth Syst. Sci., 24, 633–654, https://doi.org/10.5194/hess-24-633-2020, 2020.
Vergopolan, N., Chaney, N. W., Pan, M., Sheffield, J., Beck, H. E., Ferguson, C. R., Torres-Rojas, L., Sadri, S., and Wood, E. F.: SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US, Sci. Data, 8, 1–11, https://doi.org/10.1038/s41597-021-01050-2, 2021.
Vidal, J. P., Martin, E., Franchistéguy, L., Baillon, M., and Soubeyroux, J. M.: A 50-year high-resolution atmospheric reanalysis over France with the Safran system, Int. J. Climatol., 30, 1627–1644, https://doi.org/10.1002/joc.2003, 2010.
Wada, Y., van Beek, L. P. H., van Kempen, C. M., Reckman, J., Vasak, S., and
Bierkens, M. F. P.: Global depletion of groundwater resources, Geophys. Res.
Lett., 37, L20402, https://doi.org/10.1029/2010gl044571, 2010.
Warix, S. R., Godsey, S. E., Lohse, K. A., and Hale, R. L.: Influence of groundwater and topography on stream drying in semi-arid headwater streams,
Hydrol. Process., 35, 1–18, https://doi.org/10.1002/hyp.14185, 2021.
Weiler, M. and McDonnell, J.: Virtual experiments: A new approach for improving process conceptualization in hillslope hydrology, J. Hydrol., 285,
3–18, https://doi.org/10.1016/S0022-1694(03)00271-3, 2004.
Whiting, J. A. and Godsey, S. E.: Discontinuous headwater stream networks with stable flowheads, Salmon River basin, Idaho, Hydrol. Process., 30, 2305–2316, https://doi.org/10.1002/hyp.10790, 2016.
Wigmosta, M. S. and Lettenmaier, P.: A comparison of simplified methods for
routing topographically driven subsurface flow, Water Resour., 35, 255–264,
1999.
Winter, T. C.: Relation of streams, lakes, and wetlands to groundwater flow
systems, Hydrogeol. J., 7, 28–45, https://doi.org/10.1007/s100400050178, 1999.
Yamazaki, D., Ikeshima, D., Tawatari, R., Yamaguchi, T., O'Loughlin, F., Neal, J. C., Sampson, C. C., Kanae, S., and Bates, P. D.: A high-accuracy map of global terrain elevations, Geophys. Res. Lett., 44, 5844–5853,
https://doi.org/10.1002/2017GL072874, 2017.
Yamazaki, D., Ikeshima, D., Sosa, J., Bates, P. D., Allen, G. H., and Pavelsky, T. M.: MERIT Hydro: A High-Resolution Global Hydrography Map Based
on Latest Topography Dataset, Water Resour. Res., 55, 5053–5073,
https://doi.org/10.1029/2019WR024873, 2019.
Yoshida, T. and Troch, P. A.: Coevolution of volcanic catchments in Japan,
Hydrol. Earth Syst. Sci., 20, 1133–1150, https://doi.org/10.5194/hess-20-1133-2016, 2016.
Zlotnik, V. A. and Zurbuchen, B. R.: Estimation of hydraulic conductivity
from borehole flowmeter tests considering head losses, J. Hydrol., 281, 115–128, https://doi.org/10.1016/S0022-1694(03)00204-X, 2003.
Executive editor
The characterization of subsurface hydraulic properties of catchments is one of the grand challenges in hydrology. This study explores the potential of using the stream network for this issue. The idea is very innovative and deserves to be highlighted.
The characterization of subsurface hydraulic properties of catchments is one of the grand...
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.
We propose a model calibration method constraining groundwater seepage in the hydrographic...
