Articles | Volume 27, issue 7
https://doi.org/10.5194/hess-27-1431-2023
© 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-27-1431-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Apr 2023
Research article |
| 03 Apr 2023
| 03 Apr 2023
Estimating vadose zone water fluxes from soil water monitoring data: a comprehensive field study in Austria
Marleen Schübl
CORRESPONDING AUTHOR
Department of Water, Atmosphere and Environment, Institute of Soil Physics and Rural Water Management, University of Natural Resources and Life Sciences, Muthgasse 18, 1190 Vienna, Austria
Giuseppe Brunetti
Department of Water, Atmosphere and Environment, Institute of Soil Physics and Rural Water Management, University of Natural Resources and Life Sciences, Muthgasse 18, 1190 Vienna, Austria
Gabriele Fuchs
Section I – Water Management, Division I/3 – Water Resources, Federal Ministry of Agriculture, Forestry, Regions and Water Management, Marxergasse 2, 1030 Vienna, Austria
Christine Stumpp
Department of Water, Atmosphere and Environment, Institute of Soil Physics and Rural Water Management, University of Natural Resources and Life Sciences, Muthgasse 18, 1190 Vienna, Austria
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Marius G. Floriancic, Michael P. Stockinger, James W. Kirchner, and Christine Stumpp
EGUsphere, https://doi.org/10.5194/egusphere-2023-1854, https://doi.org/10.5194/egusphere-2023-1854, 2023
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The Alps are a key water resource for central Europe, providing water for drinking, agriculture, and hydropower production. To assess water availability in streams we need to understand to which fractions streamflow is derived from old water stored in the catchment and more recent precipitation. We use tracer data from 32 Alpine streams and statistical tools to assess how much recent precipitation can be found in Alpine rivers and how this amount is related to catchment properties and climate.
Siyuan Wang, Markus Hrachowitz, Gerrit Schoups, and Christine Stumpp
Hydrol. Earth Syst. Sci., 27, 3083–3114, https://doi.org/10.5194/hess-27-3083-2023, https://doi.org/10.5194/hess-27-3083-2023, 2023
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This study shows that previously reported underestimations of water ages are most likely not due to the use of seasonally variable tracers. Rather, these underestimations can be largely attributed to the choices of model approaches which rely on assumptions not frequently met in catchment hydrology. We therefore strongly advocate avoiding the use of this model type in combination with seasonally variable tracers and instead adopting StorAge Selection (SAS)-based or comparable model formulations.
Markus Hrachowitz, Michael Stockinger, Miriam Coenders-Gerrits, Ruud van der Ent, Heye Bogena, Andreas Lücke, and Christine Stumpp
Hydrol. Earth Syst. Sci., 25, 4887–4915, https://doi.org/10.5194/hess-25-4887-2021, https://doi.org/10.5194/hess-25-4887-2021, 2021
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Deforestation affects how catchments store and release water. Here we found that deforestation in the study catchment led to a 20 % increase in mean runoff, while reducing the vegetation-accessible water storage from about 258 to 101 mm. As a consequence, fractions of young water in the stream increased by up to 25 % during wet periods. This implies that water and solutes are more rapidly routed to the stream, which can, after contamination, lead to increased contaminant peak concentrations.
Josef Fürst, Hans Peter Nachtnebel, Josef Gasch, Reinhard Nolz, Michael Paul Stockinger, Christine Stumpp, and Karsten Schulz
Earth Syst. Sci. Data, 13, 4019–4034, https://doi.org/10.5194/essd-13-4019-2021, https://doi.org/10.5194/essd-13-4019-2021, 2021
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Rosalia is a 222 ha forested research watershed in eastern Austria to study water, energy and solute transport processes. The paper describes the site, monitoring network, instrumentation and the datasets: high-resolution (10 min interval) time series starting in 2015 of four discharge gauging stations, seven rain gauges, and observations of air and water temperature, relative humidity, and conductivity, as well as soil water content and temperature, at different depths at four profiles.
Michael Paul Stockinger, Heye Reemt Bogena, Andreas Lücke, Christine Stumpp, and Harry Vereecken
Hydrol. Earth Syst. Sci., 23, 4333–4347, https://doi.org/10.5194/hess-23-4333-2019, https://doi.org/10.5194/hess-23-4333-2019, 2019
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Precipitation moves through the soil to become stream water. The fraction of precipitation that becomes stream water after 3 months (Fyw) can be calculated with the stable isotopes of water. Previously, this was done for all the isotope data available, e.g., for several years. We used 1 year of data to calculate Fyw and moved this calculation time window over the time series. Results highlight that Fyw varies in time. Comparison studies of different regions should take this into account.
Natalie Orlowski, Lutz Breuer, Nicolas Angeli, Pascal Boeckx, Christophe Brumbt, Craig S. Cook, Maren Dubbert, Jens Dyckmans, Barbora Gallagher, Benjamin Gralher, Barbara Herbstritt, Pedro Hervé-Fernández, Christophe Hissler, Paul Koeniger, Arnaud Legout, Chandelle Joan Macdonald, Carlos Oyarzún, Regine Redelstein, Christof Seidler, Rolf Siegwolf, Christine Stumpp, Simon Thomsen, Markus Weiler, Christiane Werner, and Jeffrey J. McDonnell
Hydrol. Earth Syst. Sci., 22, 3619–3637, https://doi.org/10.5194/hess-22-3619-2018, https://doi.org/10.5194/hess-22-3619-2018, 2018
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To extract water from soils for isotopic analysis, cryogenic water extraction is the most widely used removal technique. This work presents results from a worldwide laboratory intercomparison test of cryogenic extraction systems. Our results showed large differences in retrieved isotopic signatures among participating laboratories linked to interactions between soil type and properties, system setup, extraction efficiency, extraction system leaks, and each lab’s internal accuracy.
C. Stumpp, A. Ekdal, I. E. Gönenc, and P. Maloszewski
Hydrol. Earth Syst. Sci., 18, 4825–4837, https://doi.org/10.5194/hess-18-4825-2014, https://doi.org/10.5194/hess-18-4825-2014, 2014
Related subject area
Subject: Vadose Zone Hydrology | Techniques and Approaches: Modelling approaches
Identification of parameter importance for benzene transport in the unsaturated zone using global sensitivity analysis
Evapotranspiration prediction for European forest sites does not improve with assimilation of in situ soil water content data
A comprehensive study of deep learning for soil moisture prediction
Modelling groundwater recharge, actual evaporation, and transpiration in semi-arid sites of the Lake Chad basin: the role of soil and vegetation in groundwater recharge
Predicting soil hydraulic properties for binary mixtures – concept and application for constructed Technosols
Application of an improved distributed hydrological model based on the soil–gravel structure in the Niyang River basin, Qinghai–Tibet Plateau
Assessment of the interactions between soil–biosphere–atmosphere (ISBA) land surface model soil hydrology, using four closed-form soil water relationships and several lysimeters
Soil–vegetation–water interactions controlling solute flow and chemical weathering in volcanic ash soils of the high Andes
Semi-continuum modeling of unsaturated porous media flow to explain Bauters' paradox
Effects of dynamic changes of desiccation cracks on preferential flow: experimental investigation and numerical modeling
Numerical assessment of morphological and hydraulic properties of moss, lichen and peat from a permafrost peatland
A robust upwind mixed hybrid finite element method for transport in variably saturated porous media
Stepping beyond perfectly mixed conditions in soil hydrological modelling using a Lagrangian approach
Using machine learning to predict optimal electromagnetic induction instrument configurations for characterizing the shallow subsurface
Gravity as a tool to improve the hydrologic mass budget in karstic areas
A scaling procedure for straightforward computation of sorptivity
From hydraulic root architecture models to macroscopic representations of root hydraulics in soil water flow and land surface models
Simulated or measured soil moisture: which one is adding more value to regional landslide early warning?
Interaction of soil water and groundwater during the freezing–thawing cycle: field observations and numerical modeling
Assessing the dynamics of soil salinity with time-lapse inversion of electromagnetic data guided by hydrological modelling
Simulation of reactive solute transport in the critical zone: a Lagrangian model for transient flow and preferential transport
Investigating the impact of exit effects on solute transport in macroporous media
Comparison of root water uptake models in simulating CO2 and H2O fluxes and growth of wheat
Understanding the mass, momentum, and energy transfer in the frozen soil with three levels of model complexities
A field-validated surrogate crop model for predicting root-zone moisture and salt content in regions with shallow groundwater
Characterizing uncertainty in the hydraulic parameters of oil sands mine reclamation covers and its influence on water balance predictions
Simulating preferential soil water flow and tracer transport using the Lagrangian Soil Water and Solute Transport Model
Assessment of simulated soil moisture from WRF Noah, Noah-MP, and CLM land surface schemes for landslide hazard application
Efficient estimation of effective hydraulic properties of stratal undulating surface layer using time-lapse multi-channel GPR
Partitioning snowmelt and rainfall in the critical zone: effects of climate type and soil properties
A unique vadose zone model for shallow aquifers: the Hetao irrigation district, China
Modelling of shallow water table dynamics using conceptual and physically based integrated surface-water–groundwater hydrologic models
Capturing soil-water and groundwater interactions with an iterative feedback coupling scheme: new HYDRUS package for MODFLOW
Caffeine vs. carbamazepine as indicators of wastewater pollution in a karst aquifer
Predicting the soil water retention curve from the particle size distribution based on a pore space geometry containing slit-shaped spaces
Technical note: Saturated hydraulic conductivity and textural heterogeneity of soils
Water ages in the critical zone of long-term experimental sites in northern latitudes
Ecohydrological particle model based on representative domains
Impact of capillary rise and recirculation on simulated crop yields
Soil hydraulic material properties and layered architecture from time-lapse GPR
Root growth, water uptake, and sap flow of winter wheat in response to different soil water conditions
Using lagged dependence to identify (de)coupled surface and subsurface soil moisture values
Shallow water table effects on water, sediment, and pesticide transport in vegetative filter strips – Part 1: nonuniform infiltration and soil water redistribution
Shallow water table effects on water, sediment, and pesticide transport in vegetative filter strips – Part 2: model coupling, application, factor importance, and uncertainty
A pore-size classification for peat bogs derived from unsaturated hydraulic properties
Monitoring and modeling infiltration–recharge dynamics of managed aquifer recharge with desalinated seawater
Effect of unrepresented model errors on estimated soil hydraulic material properties
Saturated hydraulic conductivity model computed from bimodal water retention curves for a range of New Zealand soils
Ross scheme, Newton–Raphson iterative methods and time-stepping strategies for solving the mixed form of Richards' equation
Feasibility analysis of using inverse modeling for estimating field-scale evapotranspiration in maize and soybean fields from soil water content monitoring networks
Meirav Cohen, Nimrod Schwartz, and Ravid Rosenzweig
Hydrol. Earth Syst. Sci., 28, 1585–1604, https://doi.org/10.5194/hess-28-1585-2024, https://doi.org/10.5194/hess-28-1585-2024, 2024
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Contamination from fuel constituents poses a major threat to groundwater. However, studies devoted to identification of the driving parameters for fuel derivative transport in soils are scarce, and none have dealt with heterogeneous layered media. Here, we performed global sensitivity analysis (GSA) on a model of benzene transport to groundwater. The results identified the parameters controlling benzene transport in soils and showed that GSA is as an important tool for transport model analysis.
Lukas Strebel, Heye Bogena, Harry Vereecken, Mie Andreasen, Sergio Aranda-Barranco, and Harrie-Jan Hendricks Franssen
Hydrol. Earth Syst. Sci., 28, 1001–1026, https://doi.org/10.5194/hess-28-1001-2024, https://doi.org/10.5194/hess-28-1001-2024, 2024
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We present results from using soil water content measurements from 13 European forest sites in a state-of-the-art land surface model. We use data assimilation to perform a combination of observed and modeled soil water content and show the improvements in the representation of soil water content. However, we also look at the impact on evapotranspiration and see no corresponding improvements.
Yanling Wang, Liangsheng Shi, Yaan Hu, Xiaolong Hu, Wenxiang Song, and Lijun Wang
Hydrol. Earth Syst. Sci., 28, 917–943, https://doi.org/10.5194/hess-28-917-2024, https://doi.org/10.5194/hess-28-917-2024, 2024
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LSTM temporal modeling suits soil moisture prediction; attention mechanisms enhance feature learning efficiently, as their feature selection capabilities are proven through Transformer and attention–LSTM hybrids. Adversarial training strategies help extract additional information from time series’ data. SHAP analysis and t-SNE visualization reveal differences in encoded features across models. This work serves as a reference for time series’ data processing in hydrology problems.
Christoph Neukum, Angela Morales-Santos, Melanie Ronelngar, Aminu Bala, and Sara Vassolo
Hydrol. Earth Syst. Sci., 27, 3601–3619, https://doi.org/10.5194/hess-27-3601-2023, https://doi.org/10.5194/hess-27-3601-2023, 2023
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A generalized approach that requires limited field data and well-established models is tested for assessing groundwater recharge in the southern Lake Chad basin. E and T coefficients are estimated with the FAO-dual Kc concept at six locations. Measured soil water content and chloride concentrations along vertical soil profiles together with different scenarios for E and T partitioning and a Bayesian calibration approach are used to simulate water flow and chloride transport using Hydrus-1D.
Moreen Willaredt, Thomas Nehls, and Andre Peters
Hydrol. Earth Syst. Sci., 27, 3125–3142, https://doi.org/10.5194/hess-27-3125-2023, https://doi.org/10.5194/hess-27-3125-2023, 2023
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This study proposes a model to predict soil hydraulic properties (SHPs) of constructed Technosols for urban greening. The SHPs are determined by the Technosol composition and describe their capacity to store and supply water to plants. The model predicts SHPs of any binary mixture based on the SHPs of its two pure components, facilitating simulations of flow and transport processes before production. This can help create Technosols designed for efficient urban greening and water management.
Pengxiang Wang, Zuhao Zhou, Jiajia Liu, Chongyu Xu, Kang Wang, Yangli Liu, Jia Li, Yuqing Li, Yangwen Jia, and Hao Wang
Hydrol. Earth Syst. Sci., 27, 2681–2701, https://doi.org/10.5194/hess-27-2681-2023, https://doi.org/10.5194/hess-27-2681-2023, 2023
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Considering the impact of the special geological and climatic conditions of the Qinghai–Tibet Plateau on the hydrological cycle, this study established the WEP-QTP hydrological model. The snow cover and gravel layers affected the temporal and spatial changes in frozen soil and improved the regulation of groundwater on the flow process. Ignoring he influence of special underlying surface conditions has a great impact on the hydrological forecast and water resource utilization in this area.
Antoine Sobaga, Bertrand Decharme, Florence Habets, Christine Delire, Noële Enjelvin, Paul-Olivier Redon, Pierre Faure-Catteloin, and Patrick Le Moigne
Hydrol. Earth Syst. Sci., 27, 2437–2461, https://doi.org/10.5194/hess-27-2437-2023, https://doi.org/10.5194/hess-27-2437-2023, 2023
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Seven instrumented lysimeters are used to assess the simulation of the soil water dynamic in one land surface model. Four water potential and hydraulic conductivity closed-form equations, including one mixed form, are evaluated. One form is more relevant for simulating drainage, especially during intense drainage events. The soil profile heterogeneity of one parameter of the closed-form equations is shown to be important.
Sebastián Páez-Bimos, Armando Molina, Marlon Calispa, Pierre Delmelle, Braulio Lahuatte, Marcos Villacís, Teresa Muñoz, and Veerle Vanacker
Hydrol. Earth Syst. Sci., 27, 1507–1529, https://doi.org/10.5194/hess-27-1507-2023, https://doi.org/10.5194/hess-27-1507-2023, 2023
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This study analyzes how vegetation influences soil hydrology, water fluxes, and chemical weathering rates in the high Andes. There are clear differences in the A horizon. The extent of soil chemical weathering varies depending on vegetation type. This difference is attributed mainly to the water fluxes. Our findings reveal that vegetation can modify soil properties in the uppermost horizon, altering the water balance, solutes, and chemical weathering throughout the entire soil profile.
Jakub Kmec, Miloslav Šír, Tomáš Fürst, and Rostislav Vodák
Hydrol. Earth Syst. Sci., 27, 1279–1300, https://doi.org/10.5194/hess-27-1279-2023, https://doi.org/10.5194/hess-27-1279-2023, 2023
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When rain falls on the ground, most of the water subsequently flows through the soil. The movement of water through the partially wet soil layer is surprisingly complicated. For decades, no mathematical model has been able to capture this process in its entire complexity. Here, we present a model that aims to solve this long-standing problem. In this paper, we show that the model correctly reproduces the transition between diffusion and preferential flow regimes.
Yi Luo, Jiaming Zhang, Zhi Zhou, Juan P. Aguilar-Lopez, Roberto Greco, and Thom Bogaard
Hydrol. Earth Syst. Sci., 27, 783–808, https://doi.org/10.5194/hess-27-783-2023, https://doi.org/10.5194/hess-27-783-2023, 2023
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This paper describes an experiment and modeling of the hydrological response of desiccation cracks under long-term wetting–drying cycles. We developed a new dynamic dual-permeability model to quantify the dynamic evolution of desiccation cracks and associated preferential flow and moisture distribution. Compared to other models, the dynamic dual-permeability model could describe the experimental data much better, but it also provided an improved description of the underlying physics.
Simon Cazaurang, Manuel Marcoux, Oleg S. Pokrovsky, Sergey V. Loiko, Artem G. Lim, Stéphane Audry, Liudmila S. Shirokova, and Laurent Orgogozo
Hydrol. Earth Syst. Sci., 27, 431–451, https://doi.org/10.5194/hess-27-431-2023, https://doi.org/10.5194/hess-27-431-2023, 2023
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Moss, lichen and peat samples are reconstructed using X-ray tomography. Most samples can be cut down to a representative volume based on porosity. However, only homogeneous samples could be reduced to a representative volume based on hydraulic conductivity. For heterogeneous samples, a devoted pore network model is computed. The studied samples are mostly highly porous and water-conductive. These results must be put into perspective with compressibility phenomena occurring in field tests.
Anis Younes, Hussein Hoteit, Rainer Helmig, and Marwan Fahs
Hydrol. Earth Syst. Sci., 26, 5227–5239, https://doi.org/10.5194/hess-26-5227-2022, https://doi.org/10.5194/hess-26-5227-2022, 2022
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Despite its advantages for the simulation of flow in heterogeneous and fractured porous media, the mixed hybrid finite element method has been rarely used for transport as it suffers from strong unphysical oscillations. We develop here a new upwind scheme for the mixed hybrid finite element that can avoid oscillations. Numerical examples confirm the robustness of this new scheme for the simulation of contaminant transport in both saturated and unsaturated conditions.
Alexander Sternagel, Ralf Loritz, Brian Berkowitz, and Erwin Zehe
Hydrol. Earth Syst. Sci., 26, 1615–1629, https://doi.org/10.5194/hess-26-1615-2022, https://doi.org/10.5194/hess-26-1615-2022, 2022
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We present a (physically based) Lagrangian approach to simulate diffusive mixing processes on the pore scale beyond perfectly mixed conditions. Results show the feasibility of the approach for reproducing measured mixing times and concentrations of isotopes over pore sizes and that typical shapes of breakthrough curves (normally associated with non-uniform transport in heterogeneous soils) may also occur as a result of imperfect subscale mixing in a macroscopically homogeneous soil matrix.
Kim Madsen van't Veen, Ty Paul Andrew Ferré, Bo Vangsø Iversen, and Christen Duus Børgesen
Hydrol. Earth Syst. Sci., 26, 55–70, https://doi.org/10.5194/hess-26-55-2022, https://doi.org/10.5194/hess-26-55-2022, 2022
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Geophysical instruments are often used in hydrological surveys. A geophysical model that couples electrical conductivity in the subsurface layers with measurements from an electromagnetic induction instrument was combined with a machine learning algorithm. The study reveals that this combination can estimate the identifiability of electrical conductivity in a layered soil and provide insight into the best way to configure the instrument for a specific field site.
Tommaso Pivetta, Carla Braitenberg, Franci Gabrovšek, Gerald Gabriel, and Bruno Meurers
Hydrol. Earth Syst. Sci., 25, 6001–6021, https://doi.org/10.5194/hess-25-6001-2021, https://doi.org/10.5194/hess-25-6001-2021, 2021
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Gravimetry offers a valid complement to classical hydrologic measurements in order to characterize karstic systems in which the recharge process causes fast accumulation of large water volumes in the voids of the epi-phreatic system. In this contribution we show an innovative integration of gravimetric and hydrologic observations to constrain a hydrodynamic model of the Škocjan Caves (Slovenia). We demonstrate how the inclusion of gravity observations improves the water mass budget estimates.
Laurent Lassabatere, Pierre-Emmanuel Peyneau, Deniz Yilmaz, Joseph Pollacco, Jesús Fernández-Gálvez, Borja Latorre, David Moret-Fernández, Simone Di Prima, Mehdi Rahmati, Ryan D. Stewart, Majdi Abou Najm, Claude Hammecker, and Rafael Angulo-Jaramillo
Hydrol. Earth Syst. Sci., 25, 5083–5104, https://doi.org/10.5194/hess-25-5083-2021, https://doi.org/10.5194/hess-25-5083-2021, 2021
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Soil sorptivity is a crucial parameter for the modeling of water infiltration into soils. The standard equation used to compute sorptivity from the soil water retention curve, the unsaturated hydraulic conductivity, and initial and final water contents may lead to erroneous estimates due to its complexity. This study proposes a new straightforward scaling procedure for estimations of sorptivity for four famous and commonly used hydraulic models.
Jan Vanderborght, Valentin Couvreur, Felicien Meunier, Andrea Schnepf, Harry Vereecken, Martin Bouda, and Mathieu Javaux
Hydrol. Earth Syst. Sci., 25, 4835–4860, https://doi.org/10.5194/hess-25-4835-2021, https://doi.org/10.5194/hess-25-4835-2021, 2021
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Root water uptake is an important process in the terrestrial water cycle. How this process depends on soil water content, root distributions, and root properties is a soil–root hydraulic problem. We compare different approaches to implementing root hydraulics in macroscopic soil water flow and land surface models.
Adrian Wicki, Per-Erik Jansson, Peter Lehmann, Christian Hauck, and Manfred Stähli
Hydrol. Earth Syst. Sci., 25, 4585–4610, https://doi.org/10.5194/hess-25-4585-2021, https://doi.org/10.5194/hess-25-4585-2021, 2021
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Soil moisture information was shown to be valuable for landslide prediction. Soil moisture was simulated at 133 sites in Switzerland, and the temporal variability was compared to the regional occurrence of landslides. We found that simulated soil moisture is a good predictor for landslides, and that the forecast goodness is similar to using in situ measurements. This encourages the use of models for complementing existing soil moisture monitoring networks for regional landslide early warning.
Hong-Yu Xie, Xiao-Wei Jiang, Shu-Cong Tan, Li Wan, Xu-Sheng Wang, Si-Hai Liang, and Yijian Zeng
Hydrol. Earth Syst. Sci., 25, 4243–4257, https://doi.org/10.5194/hess-25-4243-2021, https://doi.org/10.5194/hess-25-4243-2021, 2021
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Freezing-induced groundwater migration and water table decline are widely observed, but quantitative understanding of these processes is lacking. By considering wintertime atmospheric conditions and occurrence of lateral groundwater inflow, a model coupling soil water and groundwater reproduced field observations of soil temperature, soil water content, and groundwater level well. The model results led to a clear understanding of the balance of the water budget during the freezing–thawing cycle.
Mohammad Farzamian, Dario Autovino, Angelo Basile, Roberto De Mascellis, Giovanna Dragonetti, Fernando Monteiro Santos, Andrew Binley, and Antonio Coppola
Hydrol. Earth Syst. Sci., 25, 1509–1527, https://doi.org/10.5194/hess-25-1509-2021, https://doi.org/10.5194/hess-25-1509-2021, 2021
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Soil salinity is a serious threat in numerous arid and semi-arid areas of the world. Given this threat, efficient field assessment methods are needed to monitor the dynamics of soil salinity in salt-affected lands efficiently. We demonstrate that rapid and non-invasive geophysical measurements modelled by advanced numerical analysis of the signals and coupled with hydrological modelling can provide valuable information to assess the spatio-temporal variability in soil salinity over large areas.
Alexander Sternagel, Ralf Loritz, Julian Klaus, Brian Berkowitz, and Erwin Zehe
Hydrol. Earth Syst. Sci., 25, 1483–1508, https://doi.org/10.5194/hess-25-1483-2021, https://doi.org/10.5194/hess-25-1483-2021, 2021
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The key innovation of the study is a method to simulate reactive solute transport in the vadose zone within a Lagrangian framework. We extend the LAST-Model with a method to account for non-linear sorption and first-order degradation processes during unsaturated transport of reactive substances in the matrix and macropores. Model evaluations using bromide and pesticide data from irrigation experiments under different flow conditions on various timescales show the feasibility of the method.
Jérôme Raimbault, Pierre-Emmanuel Peyneau, Denis Courtier-Murias, Thomas Bigot, Jaime Gil Roca, Béatrice Béchet, and Laurent Lassabatère
Hydrol. Earth Syst. Sci., 25, 671–683, https://doi.org/10.5194/hess-25-671-2021, https://doi.org/10.5194/hess-25-671-2021, 2021
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Contaminant transport in soils is known to be affected by soil heterogeneities such as macropores. The transport properties of heterogeneous porous media can be studied in laboratory columns. However, the results reported in this study (a combination of breakthrough experiments, magnetic resonance imaging and computer simulations of transport) show that these properties can be largely affected by the boundary devices of the columns, thus highlighting the need to take their effect into account.
Thuy Huu Nguyen, Matthias Langensiepen, Jan Vanderborght, Hubert Hüging, Cho Miltin Mboh, and Frank Ewert
Hydrol. Earth Syst. Sci., 24, 4943–4969, https://doi.org/10.5194/hess-24-4943-2020, https://doi.org/10.5194/hess-24-4943-2020, 2020
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The mechanistic Couvreur root water uptake (RWU) model that is based on plant hydraulics and links root system properties to RWU, water stress, and crop development can evaluate the impact of certain crop properties on crop performance in different environments and soils, while the Feddes RWU approach does not possess such flexibility. This study also shows the importance of modeling root development and how it responds to water deficiency to predict the impact of water stress on crop growth.
Lianyu Yu, Yijian Zeng, and Zhongbo Su
Hydrol. Earth Syst. Sci., 24, 4813–4830, https://doi.org/10.5194/hess-24-4813-2020, https://doi.org/10.5194/hess-24-4813-2020, 2020
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Soil mass and heat transfer processes were represented in three levels of model complexities to understand soil freeze–thaw mechanisms. Results indicate that coupled mass and heat transfer models considerably improved simulations of the soil hydrothermal regime. Vapor flow and thermal effects on water flow are the main mechanisms for the improvements. Given the explicit consideration of airflow, vapor flow and its effects on heat transfer were enhanced during the freeze–thaw transition period.
Zhongyi Liu, Zailin Huo, Chaozi Wang, Limin Zhang, Xianghao Wang, Guanhua Huang, Xu Xu, and Tammo Siert Steenhuis
Hydrol. Earth Syst. Sci., 24, 4213–4237, https://doi.org/10.5194/hess-24-4213-2020, https://doi.org/10.5194/hess-24-4213-2020, 2020
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We have developed an integrated surrogate model for arid irrigated areas with shallow groundwater that links crop growth with soil water and salinity in the vadose zone. The model recognizes that field capacity is reached when the matric potential is equal to the height above the groundwater table. The model applies areas with shallow groundwater for which only very few surrogate models are available for most surface irrigation systems in the world without suffering from high groundwater.
M. Shahabul Alam, S. Lee Barbour, and Mingbin Huang
Hydrol. Earth Syst. Sci., 24, 735–759, https://doi.org/10.5194/hess-24-735-2020, https://doi.org/10.5194/hess-24-735-2020, 2020
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This study quantifies uncertainties in the prediction of long-term water balance for mine reclamation soil covers using random sampling of model parameter distributions. Parameter distributions were obtained from model optimization for field monitoring data. Variability in climate is a greater source of uncertainty than the model parameters in evaporation predictions, while climate variability and model parameters exert similar uncertainty on predictions of net percolation.
Alexander Sternagel, Ralf Loritz, Wolfgang Wilcke, and Erwin Zehe
Hydrol. Earth Syst. Sci., 23, 4249–4267, https://doi.org/10.5194/hess-23-4249-2019, https://doi.org/10.5194/hess-23-4249-2019, 2019
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We present our hydrological LAST-Model to simulate preferential soil water flow and tracer transport in macroporous soils. It relies on a Lagrangian perspective of the movement of discrete water particles carrying tracer masses through the subsoil and is hence an alternative approach to common models. Sensitivity analyses reveal the physical validity of the model concept and evaluation tests show that LAST can depict well observed tracer mass profiles with fingerprints of preferential flow.
Lu Zhuo, Qiang Dai, Dawei Han, Ningsheng Chen, and Binru Zhao
Hydrol. Earth Syst. Sci., 23, 4199–4218, https://doi.org/10.5194/hess-23-4199-2019, https://doi.org/10.5194/hess-23-4199-2019, 2019
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This study assesses the usability of WRF model-simulated soil moisture for landslide monitoring in northern Italy. In particular, three advanced land surface model schemes (Noah, Noah-MP, and CLM4) are used to provide multi-layer soil moisture data. The results have shown Noah-MP can provide the best landslide monitoring performance. It is also demonstrated that a single soil moisture sensor located in plain area has a high correlation with a significant proportion of the study area.
Xicai Pan, Stefan Jaumann, Jiabao Zhang, and Kurt Roth
Hydrol. Earth Syst. Sci., 23, 3653–3663, https://doi.org/10.5194/hess-23-3653-2019, https://doi.org/10.5194/hess-23-3653-2019, 2019
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This study suggests an efficient approach to obtain plot-scale soil hydraulic properties for the shallow structural soils via non-invasive ground-penetrating radar measurements. Facilitated by spatial information of lateral water flow, this approach is more efficient than the widely used inversion approaches relying on intensive soil moisture monitoring. The acquisition of such quantitative information is of great interest to fields such as hydrology and precision agriculture.
John C. Hammond, Adrian A. Harpold, Sydney Weiss, and Stephanie K. Kampf
Hydrol. Earth Syst. Sci., 23, 3553–3570, https://doi.org/10.5194/hess-23-3553-2019, https://doi.org/10.5194/hess-23-3553-2019, 2019
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Streamflow in high-elevation and high-latitude areas may be vulnerable to snow loss, making it important to quantify how snowmelt and rainfall are divided between soil storage, drainage below plant roots, evapotranspiration and runoff. We examine this separation in different climates and soils using a physically based model. Results show runoff may be reduced with snowpack decline in all climates. The mechanisms responsible help explain recent observations of streamflow sensitivity to snow loss.
Zhongyi Liu, Xingwang Wang, Zailin Huo, and Tammo Siert Steenhuis
Hydrol. Earth Syst. Sci., 23, 3097–3115, https://doi.org/10.5194/hess-23-3097-2019, https://doi.org/10.5194/hess-23-3097-2019, 2019
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A novel approach is taken in simulating the hydrology of the vadose zone in areas with shallow groundwater. The model recognizes that field capacity is reached when the matric potential is equal to the height above the groundwater table. The model can be used in areas with shallow groundwater to optimize irrigation water use and minimize tailwater losses.
Mohammad Bizhanimanzar, Robert Leconte, and Mathieu Nuth
Hydrol. Earth Syst. Sci., 23, 2245–2260, https://doi.org/10.5194/hess-23-2245-2019, https://doi.org/10.5194/hess-23-2245-2019, 2019
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Modelling of shallow water table fluctuations is usually carried out using physically based numerical models. These models have notable limitations regarding intensive required data and computational burden. This paper presents an alternative modelling approach for modelling of such cases by introducing modifications to the calculation of groundwater recharge and saturated flow of a conceptual hydrologic model.
Jicai Zeng, Jinzhong Yang, Yuanyuan Zha, and Liangsheng Shi
Hydrol. Earth Syst. Sci., 23, 637–655, https://doi.org/10.5194/hess-23-637-2019, https://doi.org/10.5194/hess-23-637-2019, 2019
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Accurately capturing the soil-water–groundwater interaction is vital for all disciplines related to subsurface flow but is difficult when undergoing significant nonlinearity in the modeling system. A new soil-water flow package is developed to solve the switching-form Richards’ equation. A multi-scale water balance analysis joins unsaturated–saturated models at separated scales. The whole system is solved efficiently with an iterative feedback coupling scheme.
Noam Zach Dvory, Yakov Livshitz, Michael Kuznetsov, Eilon Adar, Guy Gasser, Irena Pankratov, Ovadia Lev, and Alexander Yakirevich
Hydrol. Earth Syst. Sci., 22, 6371–6381, https://doi.org/10.5194/hess-22-6371-2018, https://doi.org/10.5194/hess-22-6371-2018, 2018
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This research is paramount given the significance of karst aquifers as essential drinking water sources. While CBZ is considered conservative, CAF is subject to sorption and degradation, and therefore each of these two pollutants can be considered effective tracers for specific assessment of aquifer contamination. The model presented in this paper shows how each of the mentioned contaminants could serve as a better tool for aquifer contamination characterization and its treatment.
Chen-Chao Chang and Dong-Hui Cheng
Hydrol. Earth Syst. Sci., 22, 4621–4632, https://doi.org/10.5194/hess-22-4621-2018, https://doi.org/10.5194/hess-22-4621-2018, 2018
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The soil water retention curve (SWRC) is fundamental to researching water flow and chemical transport in unsaturated media. However, the traditional prediction models underestimate the water content in the dry range of the SWRC. A method was therefore proposed to improve the estimation of the SWRC using a pore model containing slit-shaped spaces. The results show that the predicted SWRCs using the improved method reasonably approximated the measured SWRCs.
Carlos García-Gutiérrez, Yakov Pachepsky, and Miguel Ángel Martín
Hydrol. Earth Syst. Sci., 22, 3923–3932, https://doi.org/10.5194/hess-22-3923-2018, https://doi.org/10.5194/hess-22-3923-2018, 2018
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Saturated hydraulic conductivity (Ksat) is an important soil parameter that highly depends on soil's particle size distribution (PSD). The nature of this dependency is explored in this work in two ways, (1) by using the information entropy as a heterogeneity parameter of the PSD and (2) by using descriptions of PSD in forms of textural triplets, different than the usual description in terms of the triplet of sand, silt, and clay contents.
Matthias Sprenger, Doerthe Tetzlaff, Jim Buttle, Hjalmar Laudon, and Chris Soulsby
Hydrol. Earth Syst. Sci., 22, 3965–3981, https://doi.org/10.5194/hess-22-3965-2018, https://doi.org/10.5194/hess-22-3965-2018, 2018
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We estimated water ages in the upper critical zone with a soil physical model (SWIS) and found that the age of water stored in the soil, as well as of water leaving the soil via evaporation, transpiration, or recharge, was younger the higher soil water storage (inverse storage effect). Travel times of transpiration and evaporation were different. We conceptualized the subsurface into fast and slow flow domains and the water was usually half as young in the fast as in the slow flow domain.
Conrad Jackisch and Erwin Zehe
Hydrol. Earth Syst. Sci., 22, 3639–3662, https://doi.org/10.5194/hess-22-3639-2018, https://doi.org/10.5194/hess-22-3639-2018, 2018
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We present a Lagrangian model for non-uniform soil water dynamics. It handles 2-D diffusion (based on a spatial random walk and implicit pore space redistribution) and 1-D advection in representative macropores (as film flow with dynamic interaction with the soil matrix). The interplay between the domains is calculated based on an energy-balance approach which does not require any additional parameterisation. Model tests give insight into the evolution of the non-uniform infiltration patterns.
Joop Kroes, Iwan Supit, Jos van Dam, Paul van Walsum, and Martin Mulder
Hydrol. Earth Syst. Sci., 22, 2937–2952, https://doi.org/10.5194/hess-22-2937-2018, https://doi.org/10.5194/hess-22-2937-2018, 2018
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Impact of upward flow by capillary rise and recirculation on crop yields is often neglected or underestimated. Case studies and model experiments are used to illustrate the impact of this upward flow in the Dutch delta. Neglecting upward flow results in yield reductions for grassland, maize and potatoes. Half of the withheld water behind these yield effects comes from recirculated percolation water as occurs in free-drainage conditions; the other half from increased upward capillary rise.
Stefan Jaumann and Kurt Roth
Hydrol. Earth Syst. Sci., 22, 2551–2573, https://doi.org/10.5194/hess-22-2551-2018, https://doi.org/10.5194/hess-22-2551-2018, 2018
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Ground-penetrating radar (GPR) is a noninvasive and nondestructive measurement method to monitor the hydraulic processes precisely and efficiently. We analyze synthetic as well as measured data from the ASSESS test site and show that the analysis yields accurate estimates for the soil hydraulic material properties as well as for the subsurface architecture by comparing the results to references derived from time domain reflectometry (TDR) and subsurface architecture ground truth data.
Gaochao Cai, Jan Vanderborght, Matthias Langensiepen, Andrea Schnepf, Hubert Hüging, and Harry Vereecken
Hydrol. Earth Syst. Sci., 22, 2449–2470, https://doi.org/10.5194/hess-22-2449-2018, https://doi.org/10.5194/hess-22-2449-2018, 2018
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Different crop growths had consequences for the parameterization of root water uptake models. The root hydraulic parameters of the Couvreur model but not the water stress parameters of the Feddes–Jarvis model could be constrained by the field data measured from rhizotron facilities. The simulated differences in transpiration from the two soils and the different water treatments could be confirmed by sap flow measurements. The Couvreur model predicted the ratios of transpiration fluxes better.
Coleen D. U. Carranza, Martine J. van der Ploeg, and Paul J. J. F. Torfs
Hydrol. Earth Syst. Sci., 22, 2255–2267, https://doi.org/10.5194/hess-22-2255-2018, https://doi.org/10.5194/hess-22-2255-2018, 2018
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Remote sensing has been popular for mapping surface soil moisture. However, estimating subsurface values using surface soil moisture remains a challenge, as decoupling can occur. Depth-integrated soil moisture values used in hydrological models are affected by vertical variability. Using statistical methods, we investigate vertical variability between the surface (5 cm) and subsurface (40 cm) to quantify decoupling. We also discuss potential controls for decoupling during wet and dry conditions.
Rafael Muñoz-Carpena, Claire Lauvernet, and Nadia Carluer
Hydrol. Earth Syst. Sci., 22, 53–70, https://doi.org/10.5194/hess-22-53-2018, https://doi.org/10.5194/hess-22-53-2018, 2018
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Seasonal shallow water tables (WTs) in lowlands limit vegetation-buffer efficiency to control runoff pollution. Mechanistic models are needed to quantify true field efficiency. A new simplified algorithm for soil infiltration over WTs is tested against reference models and lab data showing WT effects depend on local settings but are negligible after 2 m depth. The algorithm is coupled to a complete vegetation buffer model in a companion paper to analyze pesticide and sediment control in situ.
Claire Lauvernet and Rafael Muñoz-Carpena
Hydrol. Earth Syst. Sci., 22, 71–87, https://doi.org/10.5194/hess-22-71-2018, https://doi.org/10.5194/hess-22-71-2018, 2018
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Vegetation buffers, often placed in lowlands to control runoff pollution, can exhibit limited efficiency due to seasonal shallow water tables (WTs). A new shallow water table infiltration algorithm developed in a companion paper is coupled to a complete vegetation buffer model to quantify pesticide and sediment control in the field. We evaluated the model on two field experiments in France with and without WT conditions and show WTs can control efficiency depending on land and climate settings.
Tobias Karl David Weber, Sascha Christian Iden, and Wolfgang Durner
Hydrol. Earth Syst. Sci., 21, 6185–6200, https://doi.org/10.5194/hess-21-6185-2017, https://doi.org/10.5194/hess-21-6185-2017, 2017
Yonatan Ganot, Ran Holtzman, Noam Weisbrod, Ido Nitzan, Yoram Katz, and Daniel Kurtzman
Hydrol. Earth Syst. Sci., 21, 4479–4493, https://doi.org/10.5194/hess-21-4479-2017, https://doi.org/10.5194/hess-21-4479-2017, 2017
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We monitor infiltration at multiple scales during managed aquifer recharge with desalinated seawater in an infiltration pond, while groundwater recharge is evaluated by simplified and numerical models. We found that pond-surface clogging is negated by the high-quality desalinated seawater or negligible compared to the low-permeability layers of the unsaturated zone. We show that a numerical model with a 1-D representative sediment profile is able to capture infiltration and recharge dynamics.
Stefan Jaumann and Kurt Roth
Hydrol. Earth Syst. Sci., 21, 4301–4322, https://doi.org/10.5194/hess-21-4301-2017, https://doi.org/10.5194/hess-21-4301-2017, 2017
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We investigate the quantitative effect of neglected sensor position, small-scale heterogeneity, and lateral flow on soil hydraulic material properties. Thus, we analyze a fluctuating water table experiment in a 2-D architecture (ASSESS) with increasingly complex studies based on time domain reflectometry and hydraulic potential data. We found that 1-D studies may yield biased parameters and that estimating sensor positions as well as small-scale heterogeneity improves the model significantly.
Joseph Alexander Paul Pollacco, Trevor Webb, Stephen McNeill, Wei Hu, Sam Carrick, Allan Hewitt, and Linda Lilburne
Hydrol. Earth Syst. Sci., 21, 2725–2737, https://doi.org/10.5194/hess-21-2725-2017, https://doi.org/10.5194/hess-21-2725-2017, 2017
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Descriptions of soil hydraulic properties, such as soil moisture release curve, θ(h), and saturated hydraulic conductivities, Ks, are a prerequisite for hydrological models. Because it is usually more difficult to describe Ks than θ(h) from pedotransfer functions, we developed a physical unimodal model to compute Ks solely from hydraulic parameters derived from the Kosugi θ(h). We further adaptations to this model to adapt it to dual-porosity structural soils.
Fadji Hassane Maina and Philippe Ackerer
Hydrol. Earth Syst. Sci., 21, 2667–2683, https://doi.org/10.5194/hess-21-2667-2017, https://doi.org/10.5194/hess-21-2667-2017, 2017
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In many fields like climate change, hydrology and agronomy, water movement in unsaturated soils is usually simulated using the Richards equation. However, this equation requires lot of computational effort to be solved due to its highly nonlinear behavior, which hampers its use in simulations. In this paper, we analyze and developed some numerical strategies and we evaluate their reliability and efficiency.
Foad Foolad, Trenton E. Franz, Tiejun Wang, Justin Gibson, Ayse Kilic, Richard G. Allen, and Andrew Suyker
Hydrol. Earth Syst. Sci., 21, 1263–1277, https://doi.org/10.5194/hess-21-1263-2017, https://doi.org/10.5194/hess-21-1263-2017, 2017
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Estimates of evapotranspiration are vital for validation of models. However, those datasets are often limited to research applications. Here, we explore using vadose zone modeling with widespread and readily available soil water content monitoring networks. While this work focused on one agricultural site, the framework can be used everywhere there is basic data. The resulting evapotranspiration and soil water content measurements are valuable benchmarks for evaluation of land surface models.
Cited articles
Assefa, K. A. and Woodbury, A. D.: Transient, spatially varied groundwater
recharge modeling, Water Resour. Res., 49, 4593–4606, https://doi.org/10.1002/wrcr.20332, 2013. a, b
Barkle, G., Wöhling, T., Stenger, R., Mertens, J., Moorhead, B., Wall,
A., and Clague, J.: Automated Equilibrium Tension Lysimeters for Measuring
Water Fluxes through a Layered, Volcanic Vadose Profile in New Zealand,
Vadose Zone J., 10, 747–759, https://doi.org/10.2136/vzj2010.0091, 2011. a
Baroni, G., Facchi, A., Gandolfi, C., Ortuani, B., Horeschi, D., and Van Dam,
J. C.: Uncertainty in the determination of soil hydraulic parameters and its
influence on the performance of two hydrological models of different
complexity, Hydrol. Earth Syst. Sci., 14, 251–270,
https://doi.org/10.5194/hess-14-251-2010, 2010. a
Barron, O. V., Crosbie, R. S., Dawes, W. R., Charles, S. P., Pickett, T., and
Donn, M. J.: Climatic controls on diffuse groundwater recharge across Australia, Hydrol. Earth Syst. Sci., 16, 4557–4570,
https://doi.org/10.5194/hess-16-4557-2012, 2012. a, b
Berthelin, R., Rinderer, M., Andreo, B., Baker, A., Kilian, D., Leonhardt, G., Lotz, A., Lichtenwoehrer, K., Mudarra, M., Padilla, I. Y., Pantoja Agreda, F., Rosolem, R., Vale, A., and Hartmann, A.: A soil moisture monitoring network to characterize karstic recharge and evapotranspiration at five representative sites across the globe, Geosci. Instrum. Method. Data Syst., 9, 11–23, https://doi.org/10.5194/gi-9-11-2020, 2020. a
Beven, K.: A manifesto for the equifinality thesis, J. Hydrol., 320, 18–36, https://doi.org/10.1016/j.jhydrol.2005.07.007, 2006. a
Beven, K.: Facets of uncertainty: epistemic uncertainty, non-stationarity,
likelihood, hypothesis testing, and communication, Hydrolog. Sci. J., 61, 1652–1665, 2016. a
Boumaiza, L., Chesnaux, R., Walter, J., and Stumpp, C.: Assessing groundwater recharge and transpiration in a humid northern region dominated by snowmelt using vadose-zone depth profiles, Hydrogeol. J., 28, 2315–2329,
https://doi.org/10.1007/s10040-020-02204-z, 2020. a
Bresciani, E., Cranswick, R. H., Banks, E. W., Batlle-Aguilar, J., Cook, P. G., and Batelaan, O.: Using hydraulic head, chloride and electrical conductivity data to distinguish between mountain-front and mountain-block recharge to basin aquifers, Hydrol. Earth Syst. Sci., 22, 1629–1648,
https://doi.org/10.5194/hess-22-1629-2018, 2018. a
Brunetti, G., Šimůnek, J., Bogena, H., Baatz, R., Huisman, J. A.,
Dahlke, H., and Vereecken, H.: On the Information Content of Cosmic‐Ray
Neutron Data in the Inverse Estimation of Soil Hydraulic Properties, Vadose
Zone J., 18, 1–24, https://doi.org/10.2136/vzj2018.06.0123, 2019. a, b
Brunetti, G., Papagrigoriou, I. A., and Stumpp, C.: Disentangling model
complexity in green roof hydrological analysis: A Bayesian perspective, Water Res., 182, 115973, https://doi.org/10.1016/j.watres.2020.115973, 2020a. a, b
Brunetti, G., Šimůnek, J., Glöckler, D., and Stumpp, C.: Handling
model complexity with parsimony: Numerical analysis of the nitrogen turnover
in a controlled aquifer model setup, J. Hydrol., 584, 124681, https://doi.org/10.1016/j.jhydrol.2020.124681, 2020b. a, b, c
Brunetti, G., Schübl, M., Santner, K., and Stumpp, C.:
Sensitivitätsanalyse zu Infiltrationsprozessen in Böden, Österreich. Wasser Abfallwirt., 74, 179–186, https://doi.org/10.1007/s00506-022-00839-8, 2022. a
Buchner, J.: A statistical test for Nested Sampling algorithms, Stat. Comput., 26, 383–392, https://doi.org/10.1007/s11222-014-9512-y, 2016. a
Burri, N. M., Weatherl, R., Moeck, C., and Schirmer, M.: A review of threats
to groundwater quality in the anthropocene, Sci. Total Environ., 684, 136–154, https://doi.org/10.1016/j.scitotenv.2019.05.236, 2019. a
Cao, G., Scanlon, B. R., Han, D., and Zheng, C.: Impacts of thickening
unsaturated zone on groundwater recharge in the North China Plain, J. Hydrol., 537, 260–270, https://doi.org/10.1016/j.jhydrol.2016.03.049, 2016. a
Chesnaux, R. and Stumpp, C.: Advantages and challenges of using soil water
isotopes to assess groundwater recharge dominated by snowmelt at a field study located in Canada, Hydrolog. Sci. J., 63, 679–695, https://doi.org/10.1080/02626667.2018.1442577, 2018. a
Collenteur, R. A., Bakker, M., Klammler, G., and Birk, S.: Estimation of
groundwater recharge from groundwater levels using nonlinear transfer
function noise models and comparison to lysimeter data, Hydrol. Earth Syst. Sci., 25, 2931–2949, https://doi.org/10.5194/hess-25-2931-2021, 2021. a, b, c, d
Dettmann, U., Bechtold, M., Frahm, E., and Tiemeyer, B.: On the applicability
of unimodal and bimodal van Genuchten-Mualem based models to peat and other
organic soils under evaporation conditions, J. Hydrol., 515, 103–115, https://doi.org/10.1016/j.jhydrol.2014.04.047, 2014. a
Doble, R. C. and Crosbie, R. S.: Revue: Méthodes courantes et
émergentes pour la modélisation de la recharge à l'échelle du bassin versant et de l'évapotranspiration d'eaux souterraines peu profondes, Hydrogeol. J., 25, 3–23, https://doi.org/10.1007/s10040-016-1470-3, 2017. a
Döll, P. and Fiedler, K.: Global-scale modeling of groundwater recharge, Hydrol. Earth Syst. Sci., 12, 863–885, https://doi.org/10.5194/hess-12-863-2008, 2008. a
Doorenbos, J. and Pruitt, W. O.: Crop evapotranspiration, FAO irrigation and
drainage Paper 24, FAO, 1–145, https://www.posmet.ufv.br/wp-content/uploads/2015/08/LIVRO-385-Doorenbos-e-Pruitt-Guidelines-for-predicting-crop (last access: 25 March 2023), 1977. a
Durner, W., Jansen, U., and Iden, S. C.: Effective hydraulic properties of
layered soils at the lysimeter scale determined by inverse modelling, Eur. J. Soil Sci., 59, 114–124, https://doi.org/10.1111/j.1365-2389.2007.00972.x, 2008. a
Dyck, M. and Kachanoski, R.: Spatial Scale-Dependence of Preferred Flow
Domains during Infiltration in a Layered Field Soil, Vadose Zone J., 9,
385–396, https://doi.org/10.2136/vzj2009.0093, 2010. a
Elsheikh, A. H., Wheeler, M. F., and Hoteit, I.: Nested sampling algorithm for subsurface flow model selection, uncertainty quantification, and nonlinear calibration, Water Resour. Res., 49, 8383–8399,
https://doi.org/10.1002/2012WR013406, 2013. a
Emerson, W. W.: Water retention, organic c and soil texture, Aust. J. Soil Res., 33, 241–251, https://doi.org/10.1071/SR9950241, 1995. a
Feddes, R. A., Kowalik, P. J., Zaradny, H., Taylor, S. A., Ashcroft, G. L.,
Vrugt, J. A., Diks, C. G., Gupta, H. V., Bouten, W., and Verstraten, J. M.: Physical edaphology. The physics of irrigated and nonirrigated soils, Monogr. PUDOC, Wageningen, 41, 1–17, https://doi.org/10.1029/2004WR003059, 1978. a
Feroz, F. and Hobson, M. P.: Multimodal nested sampling: An efficient and
robust alternative to Markov Chain Monte Carlo methods for astronomical data
analyses, Mon. Notice. Roy. Astron. Soc., 384, 449–463,
https://doi.org/10.1111/j.1365-2966.2007.12353.x, 2008. a, b, c
Feroz, F., Hobson, M. P., and Bridges, M.: MultiNest: An efficient and robust
Bayesian inference tool for cosmology and particle physics, Mon. Notice.
Roy. Astron. Soc., 398, 1601–1614, https://doi.org/10.1111/j.1365-2966.2009.14548.x, 2009. a, b, c, d
Feroz, F., Hobson, M. P., Cameron, E., and Pettitt, A. N.: Importance Nested
Sampling and the MultiNest Algorithm, Open J. Astrophys., 2, 1, https://doi.org/10.21105/astro.1306.2144, 2019. a
Finsterle, S.: Practical notes on local data-worth analysis, Water Resour.
Res., 51, 9904–9924, https://doi.org/10.1002/2015WR017445, 2015. a
Fuentes, C., Haverkamp, R., and Parlange, J. Y.: Parameter constraints on
closed-form soilwater relationships, J. Hydrol., 134, 117–142,
https://doi.org/10.1016/0022-1694(92)90032-Q, 1992. a
Gao, H., Zhang, J., Liu, C., Man, J., Chen, C., Wu, L., and Zeng, L.:
Efficient Bayesian Inverse Modeling of Water Infiltration in Layered Soils,
Vadose Zone J., 18, 1–13, https://doi.org/10.2136/vzj2019.03.0029, 2019. a
Groh, J., Vanderborght, J., Pütz, T., and Vereecken, H.: How to Control
the Lysimeter Bottom Boundary to Investigate the Effect of Climate Change on
Soil Processes?, Vadose Zone J., 15, vzj2015.08.0113,
https://doi.org/10.2136/vzj2015.08.0113, 2016. a
Groh, J., Stumpp, C., Lücke, A., Pütz, T., Vanderborght, J., and
Vereecken, H.: Inverse Estimation of Soil Hydraulic and Transport Parameters
of Layered Soils from Water Stable Isotope and Lysimeter Data, Vadose Zone J., 17, 170168, https://doi.org/10.2136/vzj2017.09.0168, 2018. a, b
Gupta, A., Govindaraju, R. S., Morbidelli, R., and Corradini, C.: The Role of
Prior Probabilities on Parameter Estimation in Hydrological Models, Water
Resour. Res., 58, e2021WR031291, https://doi.org/10.1029/2021WR031291, 2022. a
Hartmann, A., Goldscheider, N., Wagener, T., Lange, J., and Weiler, M.: Karst
water resources in a changing world: Review of hydrological modeling approaches, Rev. Geophys., 52, 218–242, https://doi.org/10.1002/2013RG000443, 2014. a
Hartmann, A., Gleeson, T., Wada, Y., and Wagener, T.: Enhanced groundwater
recharge rates and altered recharge sensitivity to climate variability through subsurface heterogeneity, P. Natl. Acad. Sci. USA, 114, 2842–2847,
https://doi.org/10.1073/pnas.1614941114, 2017. a
Healy, R. W. and Cook, P. G.: Using groundwater levels to estimate recharge, Hydrogeol. J., 10, 91–109, https://doi.org/10.1007/s10040-001-0178-0, 2002. a
Heilig, A., Steenhuis, T. S., Walter, M. T., and Herbert, S. J.: Funneled flow mechanisms in layered soil: Field investigations, J. Hydrol., 279,
210–223, https://doi.org/10.1016/S0022-1694(03)00179-3, 2003. a
Heppner, C. S., Nimmo, J. R., Folmar, G. J., Gburek, W. J., and Risser, D. W.: Multiple-methods investigation of recharge at a humid-region fractured rock site, Pennsylvania, USA, Hydrogeol. J., 15, 915–927,
https://doi.org/10.1007/s10040-006-0149-6, 2007. a, b
Jarvis, N. J.: The MACRO model (Version 3.1) – Technical Description and
Sample Simulations, p. 51, https://agris.fao.org/agris-search/search.do?recordID=SE19950122727 (last access: 25 March 2023), 1994. a
Kaminsky, E., Plan, L., Wagner, T., Funk, B., and Oberender, P.: Flow dynamics in a vadose shaft – a case study from the hochschwab karst massif (Northern calcareous alps, austria), Int. J. Speleol., 50, 157–172, https://doi.org/10.5038/1827-806X.50.2.2375, 2021. a
Keese, K. E., Scanlon, B. R., and Reedy, R. C.: Assessing controls on diffuse
groundwater recharge using unsaturated flow modeling, Water Resour. Res., 41, 1–12, https://doi.org/10.1029/2004WR003841, 2005. a
Koeniger, P., Gaj, M., Beyer, M., and Himmelsbach, T.: Review on soil water
isotope-based groundwater recharge estimations, Hydrol. Process., 30, 2817–2834, https://doi.org/10.1002/hyp.10775, 2016. a
Lambot, S., Javaux, M., Hupet, F., and Vanclooster, M.: A global multilevel
coordinate search procedure for estimating the unsaturated soil hydraulic
properties, Water Resour. Res., 38, 6-1–6-15, https://doi.org/10.1029/2001wr001224, 2002. a
Land OÖ: Forschungsprojekt Lysimeter, Technischer Endbericht 2013,
Tech. rep., Amt der Oöo. Landesregierung, Abteilung Grund- und
Trinkwasserwirtschaft, Linz, https://www.land-oberoesterreich.gv.at/Mediendateien/Formulare/Dokumente UWD Abt_WW/2013_LysimeterO%C3%96_Jahresbericht13.pdf
(last access: 25 March 2023), 2013. a
Land OÖ: Forschungsprojekt Lysimeter, Technischer Endbericht 2014,
Tech. rep., Amt der Oö. Landesregierung, Abteilung Grund- und
Trinkwasserwirtschaft, Linz, https://www.land-oberoesterreich.gv.at/Mediendateien/Formulare/Dokumente UWD Abt_WW/2014_LysimeterO%C3%96_Jahresbericht14.pdf
(last access: 25 March 2023), 2014. a
Lu, J., Zhang, Q., Werner, A. D., Li, Y., Jiang, S., and Tan, Z.: Root-induced changes of soil hydraulic properties – A review, J. Hydrol.,
589, 125203, https://doi.org/10.1016/j.jhydrol.2020.125203, 2020. a
Minasny, B. and Field, D. J.: Estimating soil hydraulic properties and their
uncertainty: The use of stochastic simulation in the inverse modelling of the
evaporation method, Geoderma, 126, 277–290, https://doi.org/10.1016/j.geoderma.2004.09.015, 2005. a
Mishra, S., Parker, J. C., and Singhal, N.: Estimation of soil hydraulic
properties and their uncertainty from particle size distribution data, J. Hydrol., 108, 1–18, https://doi.org/10.1016/0022-1694(89)90275-8, 1989. a
Moeck, C., von Freyberg, J., and Schirmer, M.: Groundwater recharge
predictions in contrasted climate: The effect of model complexity and
calibration period on recharge rates, Environ. Model. Softw., 103, 74–89, https://doi.org/10.1016/j.envsoft.2018.02.005, 2018. a, b
Moeck, C., Grech-Cumbo, N., Podgorski, J., Bretzler, A., Gurdak, J. J., Berg,
M., and Schirmer, M.: A global-scale dataset of direct natural groundwater
recharge rates: A review of variables, processes and relationships, Sci. Total Environ., 717, 137042, https://doi.org/10.1016/j.scitotenv.2020.137042, 2020. a, b, c, d, e, f, g, h, i, j
Mualem, Y.: A new model for predicting the hydraulic conductivity of
unsaturated porous media, Water Resour. Res., 12, 513–522,
https://doi.org/10.1029/WR012i003p00513, 1976. a
Mukherjee, P., Parkinson, D., and Liddle, A. R.: A Nested Sampling Algorithm
for Cosmological Model Selection, Astrophys. J., 638, L51–L54,
https://doi.org/10.1086/501068, 2006. a, b
Neukum, C. and Azzam, R.: Impact of climate change on groundwater recharge in
a small catchment in the Black Forest, Germany, Hydrogeol. J., 20, 547–560, https://doi.org/10.1007/s10040-011-0827-x, 2012. a
Neukum, C., Hötzl, H., and Himmelsbach, T.: Validation of vulnerability
mapping methods by field investigations and numerical modelling, Hydrogeol. J., 16, 641–658, https://doi.org/10.1007/s10040-007-0249-y, 2008. a
Nolan, B. T., Healy, R. W., Taber, P. E., Perkins, K., Hitt, K. J., and Wolock, D. M.: Factors influencing ground-water recharge in the eastern United States, J. Hydrol., 332, 187–205, https://doi.org/10.1016/j.jhydrol.2006.06.029, 2007. a, b
Nolz, R., Cepuder, P., and Eitzinger, J.: Comparison of lysimeter based and
calculated ASCE reference evapotranspiration in a subhumid climate, Theor. Appl. Climatol., 124, 315–324, https://doi.org/10.1007/s00704-015-1417-y, 2016. a
PC-PROGRESS: HYDRUS-1D, https://www.pc-progress.com, last access: 1 April 2023. a
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel,
O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J.,
Passos, A., Cournapeau, D., Brucher, M., Perrot, M., and Duchesnay, E.:
Scikit-learn: Machine Learning in Python, J. Mach. Learn. Res., 12, 2825–2830, 2011. a, b
Pütz, T., Fank, J., and Flury, M.: Lysimeters in Vadose Zone Research,
Vadose Zone J., 17, 180035, https://doi.org/10.2136/vzj2018.02.0035, 2018. a
QGIS Development Team: QGIS Geographic Information System, QGIS Association,
https://www.qgis.org (last access: 25 March 2023), 2022. a
Rimon, Y., Dahan, O., Nativ, R., and Geyer, S.: Water percolation through the
deep vadose zone and groundwater recharge: Preliminary results based on a new
vadose zone monitoring system, Water Resour. Res., 43, W05402, https://doi.org/10.1029/2006WR004855, 2007. a
Ritter, A., Hupet, F., Muñoz-Carpena, R., Lambot, S., and Vanclooster,
M.: Using inverse methods for estimating soil hydraulic properties from
field data as an alternative to direct methods, Agr. Water Manage., 59, 77–96, https://doi.org/10.1016/S0378-3774(02)00160-9, 2003. a
Romano, N. and Santini, A.: Determining soil hydraulic functions from
evaporation experiments by a parameter estimation approach: Experimental
verifications and numerical studies, Water Resour. Res., 35, 3343–3359, https://doi.org/10.1029/1999WR900155, 1999. a
Scanlon, B. R., Healy, R. W., and Cook, P. G.: Choosing appropriate techniques for quantifying groundwater recharge, Hydrogeol. J., 10, 18–39,
https://doi.org/10.1007/s10040-001-0176-2, 2002. a, b
Schaap, M. G. and Leij, F. J.: Using neural networks to predict soil water
retention and soil hydraulic conductivity, Soil Till. Res., 47, 37–42, https://doi.org/10.1016/S0167-1987(98)00070-1, 1998. a
Scharnagl, B., Vrugt, J. A., Vereecken, H., and Herbst, M.: Inverse modelling
of in situ soil water dynamics: Investigating the effect of different prior
distributions of the soil hydraulic parameters, Hydrol. Earth Syst. Sci., 15, 3043–3059, https://doi.org/10.5194/hess-15-3043-2011, 2011. a, b, c
Schelle, H., Iden, S. C., Fank, J., and Durner, W.: Inverse Estimation of Soil Hydraulic and Root Distribution Parameters from Lysimeter Data, Vadose Zone J., 11, vzj2011.0169, https://doi.org/10.2136/vzj2011.0169, 2012. a, b
Schjønning, P., Munkholm, L. J., Moldrup, P., and Jacobsen, O. H.:
Modelling soil pore characteristics from measurements of air exchange: The
long-term effects of fertilization and crop rotation, Eur. J. Soil Sci., 53, 331–339, https://doi.org/10.1046/j.1365-2389.2002.00438.x, 2002. a
Schneider, S., Jacques, D., and Mallants, D.: Inverse modelling with a genetic algorithm to derive hydraulic properties of a multi-layered forest soil, Soil Res., 51, 372–389, https://doi.org/10.1071/SR13144, 2013. a
Seneviratne, S. I., Lehner, I., Gurtz, J., Teuling, A. J., Lang, H., Moser, U., Grebner, D., Menzel, L., Schroff, K., Vitvar, T., and Zappa, M.: Swiss
prealpine Rietholzbach research catchment and lysimeter: 32 year time series
and 2003 drought event, Water Resour. Res., 48, W06526, https://doi.org/10.1029/2011WR011749, 2012. a
Šimůnek, J.: Estimating groundwater recharge using HYDRUS-1D,
Geological Institute, Bulgarian Academy of Sciences, 29, 25–36,
https://www.pc-progress.com/Documents/Jirka/Simunek_EnginGeolHydrogeol_2016.pdf (last access: 25 March 2023), 2015. a
Šimůnek, J., Jarvis, N. J., Van Genuchten, M. T., and Gärdenäs, A.: Review and comparison of models for describing non-equilibrium and preferential flow and transport in the vadose zone, J. Hydrol., 272, 14–35, https://doi.org/10.1016/S0022-1694(02)00252-4, 2003. a
Šimůnek, J., van Genuchten, M. T., and Šejna, M.: Recent Developments and Applications of the HYDRUS Computer Software Packages, Vadose Zone J., 15, vzj2016.04.0033, https://doi.org/10.2136/vzj2016.04.0033, 2016. a, b, c
Skilling, J.: Nested sampling for general Bayesian computation, Bayes. Anal., 1, 833–860, https://doi.org/10.1214/06-BA127, 2006. a, b
Stumpp, C., Maloszewski, P., Stichler, W., and Fank, J.: Environmental isotope (δ18O) and hydrological data to assess water flow in unsaturated soils planted with different crops: Case study lysimeter station “Wagna” (Austria), J. Hydrol., 369, 198–208, https://doi.org/10.1016/j.jhydrol.2009.02.047, 2009. a
Stumpp, C., Stichler, W., Kandolf, M., and Šimůnek, J.: Effects of Land
Cover and Fertilization Method on Water Flow and Solute Transport in Five
Lysimeters: A Long-Term Study Using Stable Water Isotopes, Vadose Zone J., 11, 1, https://doi.org/10.2136/vzj2011.0075, 2012. a, b
Taylor, R. G., Scanlon, B., Döll, P., Rodell, M., Van Beek, R., Wada,
Y., Longuevergne, L., Leblanc, M., Famiglietti, J. S., Edmunds, M., Konikow,
L., Green, T. R., Chen, J., Taniguchi, M., Bierkens, M. F., Macdonald, A., Fan, Y., Maxwell, R. M., Yechieli, Y., Gurdak, J. J., Allen, D. M.,
Shamsudduha, M., Hiscock, K., Yeh, P. J., Holman, I., and Treidel, H.:
Ground water and climate change, Nat. Clim. Change, 3, 322–329,
https://doi.org/10.1038/nclimate1744, 2013. a, b
Taylor, S. A. and Ashcroft, G. L.: Physical edaphology. The physics of irrigated and nonirrigated soils, https://www.cabdirect.org/cabdirect/abstract/19731901994 (last access: 25 March 2023), 1972. a
Tóth, G., Rman, N., Ágnes, R. S., Kerékgyártó, T., Szocs, T., Lapanje, A., Černák, R., Remsík, A., Schubert, G., and Nádor, A.: Transboundary fresh and thermal groundwater flows in the west part of the Pannonian Basin, Renew. Sustain. Energ. Rev., 57, 439–454, https://doi.org/10.1016/j.rser.2015.12.021, 2016. a
Van Genuchten, M. T.: A closed-form equation for predicting the hydraulic
conductivity of unsaturated soils, Soil Sci. Soc. Am. J., 44, 892–898, 1980. a
Vereecken, H., Huisman, J. A., Bogena, H., Vanderborght, J., Vrugt, J. A., and Hopmans, J. W.: On the value of soil moisture measurements in vadose zone
hydrology: A review, Water Resour. Res., 46, W00D06, https://doi.org/10.1029/2008WR006829, 2008. a, b
Vereecken, H., Schnepf, A., Hopmans, J., Javaux, M., Or, D., Roose, T.,
Vanderborght, J., Young, M., Amelung, W., Aitkenhead, M., Allison, S.,
Assouline, S., Baveye, P., Berli, M., Brüggemann, N., Finke, P., Flury,
M., Gaiser, T., Govers, G., Ghezzehei, T., Hallett, P., Hendricks Franssen,
H., Heppell, J., Horn, R., Huisman, J., Jacques, D., Jonard, F., Kollet, S.,
Lafolie, F., Lamorski, K., Leitner, D., McBratney, A., Minasny, B., Montzka,
C., Nowak, W., Pachepsky, Y., Padarian, J., Romano, N., Roth, K., Rothfuss,
Y., Rowe, E., Schwen, A., Šimůnek, J., Tiktak, A., Van Dam, J., van der Zee, S., Vogel, H., Vrugt, J., Wöhling, T., and Young, I.: Modeling Soil Processes: Review, Key Challenges, and New Perspectives, Vadose Zone J., 15, vzj2015.09.0131, https://doi.org/10.2136/vzj2015.09.0131, 2016. a, b
Vogel, W.: Österreich – Vorreiter im Grundwasserschutz, Ländlicher Raum, p. 12, https://info.bml.gv.at/dam/jcr:e19e56b5-fc51-4b9e-b5f0-966d8f220bbf/41_Wilhelm ogel - %C3%96sterreich - Vorreiter im Grundwasserschutz.pdf
(last access: 25 March 2023), 2001. a
von Freyberg, J., Moeck, C., and Schirmer, M.: Estimation of groundwater
recharge and drought severity with varying model complexity, J. Hydrol., 527, 844–857, https://doi.org/10.1016/j.jhydrol.2015.05.025, 2015. a, b
Vrugt, J. A. and Sadegh, M.: Toward diagnostic model calibration and
evaluation: Approximate Bayesian computation, Water Resour. Res., 49,
4335–4345, https://doi.org/10.1002/wrcr.20354, 2013. a
Vrugt, J. A., Bouten, W., Gupta, H. V., and Hopmans, J. W.: Toward improved
identifiability of soil hydraulic parameters: On the selection of a suitable
parametric model, Vadose Zone J., 2, 98–113, 2003. a
Vrugt, J. A., ter Braak, C. J. F., Clark, M. P., Hyman, J. M., and Robinson,
B. A.: Treatment of input uncertainty in hydrologic modeling: Doing
hydrology backward with Markov chain Monte Carlo simulation, Water Resour.
Res., 44, W00B09, https://doi.org/10.1029/2007wr006720, 2008. a
Vrugt, J. A., de Oliveira, D. Y., Schoups, G., and Diks, C. G.: On the use of
distribution-adaptive likelihood functions: Generalized and universal likelihood functions, scoring rules and multi-criteria ranking, J. Hydrol., 615, 128542, https://doi.org/10.1016/j.jhydrol.2022.128542, 2022. a
Wareham, R.: rjw57/MultiNest, GitHub [code], https://github.com/rjw57/MultiNest, last access: 1 April 2023. a
Wang, T., Istanbulluoglu, E., Lenters, J., and Scott, D.: On the role of
groundwater and soil texture in the regional water balance: An investigation
of the Nebraska Sand Hills, USA, Water Resour. Res., 45, W10413, https://doi.org/10.1029/2009WR007733, 2009. a
Wesseling, J., Elbers, J., Kabat, P., and Van den Broek, B.: SWATRE:
Instructions for input, Internal Note, Winand Staring Centre, Wageningen, the
Netherlands, 1991. a
Whalley, W. R., Riseley, B., Leeds-Harrison, P. B., Bird, N. R., Leech, P. K., and Adderley, W. P.: Structural differences between bulk and rhizosphere
soil, Eur. J. Soil Sc., 56, 353–360, https://doi.org/10.1111/j.1365-2389.2004.00670.x, 2005. a
Wohling, D. L., Leaney, F. W., and Crosbie, R. S.: Deep drainage estimates
using multiple linear regression with percent clay content and rainfall,
Hydrol. Earth Syst. Sci., 16, 563–572, https://doi.org/10.5194/hess-16-563-2012, 2012. a
Wöhling, T., Vrugt, J. A., and Barkle, G. F.: Comparison of Three
Multiobjective Optimization Algorithms for Inverse Modeling of Vadose Zone
Hydraulic Properties, Soil Sci. Soc. Am. J., 72, 305–319,
https://doi.org/10.2136/sssaj2007.0176, 2008. a, b
Wöhling, T., Schöniger, A., Gayler, S., and Nowak, W.: Bayesian model averaging to explore the worth of data for soil-plant model selection and prediction, Water Resour. Res., 51, 2825–2846, https://doi.org/10.1002/2014WR016292, 2015. a
Xie, Y., Cook, P. G., Simmons, C. T., Partington, D., Crosbie, R., and
Batelaan, O.: Uncertainty of groundwater recharge estimated from a water and
energy balance model, J. Hydrol., 561, 1081–1093, https://doi.org/10.1016/j.jhydrol.2017.08.010, 2018. a
Zhao, Y., Peth, S., Horn, R., Šimůnek, J., and Kodešová, R.:
Modeling of coupled water and heat fluxes in both unfrozen and frozen
soils, in: Proc. of HYDRUS Workshop, Czech University of Life Sciences, Prague, Czech, 55–60, http://pc-progress.com/Documents/Workshop_2008_Prague/Proceedings - Prague's HYDRUS Worskshop.pdf#page=59 (last access: 25 March 2023), 2008. a
Short summary
Estimating groundwater recharge through the unsaturated zone is a difficult task that is fundamentally associated with uncertainties. One of the few methods available is inverse modeling based on soil water measurements. Here, we used a nested sampling algorithm within a Bayesian probabilistic framework to assess model uncertainties at 14 sites in Austria. Further, we analyzed simulated recharge rates to identify factors influencing groundwater recharge rates and their temporal variability.
Estimating groundwater recharge through the unsaturated zone is a difficult task that is...
