Articles | Volume 25, issue 10
https://doi.org/10.5194/hess-25-5447-2021
© Author(s) 2021. 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-25-5447-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Oct 2021
Research article |
| 14 Oct 2021
| 14 Oct 2021
Robustness of a parsimonious subsurface drainage model at the French national scale
INRAE, University of Paris Saclay, UR HYCAR, 1 rue Pierre Gilles de Gennes, Antony, France
Hocine Henine
INRAE, University of Paris Saclay, UR HYCAR, 1 rue Pierre Gilles de Gennes, Antony, France
Cédric Chaumont
INRAE, University of Paris Saclay, UR HYCAR, 1 rue Pierre Gilles de Gennes, Antony, France
Lila Collet
INRAE, University of Paris Saclay, UR HYCAR, 1 rue Pierre Gilles de Gennes, Antony, France
now at: EDF R&D, OSIRIS Department, 7 boulevard Gaspard Monge, 91120 Palaiseau, France
Guillaume Thirel
INRAE, University of Paris Saclay, UR HYCAR, 1 rue Pierre Gilles de Gennes, Antony, France
Julien Tournebize
INRAE, University of Paris Saclay, UR HYCAR, 1 rue Pierre Gilles de Gennes, Antony, France
Related authors
No articles found.
Guillaume Thirel, Léonard Santos, Olivier Delaigue, and Charles Perrin
Hydrol. Earth Syst. Sci., 28, 4837–4860, https://doi.org/10.5194/hess-28-4837-2024, https://doi.org/10.5194/hess-28-4837-2024, 2024
Short summary
Short summary
We discuss how mathematical transformations impact calibrated hydrological model simulations. We assess how 11 transformations behave over the complete range of streamflows. Extreme transformations lead to models that are specialized for extreme streamflows but show poor performance outside the range of targeted streamflows and are less robust. We show that no a priori assumption about transformations can be taken as warranted.
Nicolai Brekenfeld, Solenn Cotel, Mikaël Faucheux, Paul Floury, Colin Fourtet, Jérôme Gaillardet, Sophie Guillon, Yannick Hamon, Hocine Henine, Patrice Petitjean, Anne-Catherine Pierson-Wickmann, Marie-Claire Pierret, and Ophélie Fovet
Hydrol. Earth Syst. Sci., 28, 4309–4329, https://doi.org/10.5194/hess-28-4309-2024, https://doi.org/10.5194/hess-28-4309-2024, 2024
Short summary
Short summary
The proposed methodology consists of simultaneously analysing the concentration variation of solute pairs during a storm event by plotting the concentration variation of one solute against the variation of another solute. This can reveal whether two or more end-members contribute to streamflow during a storm event. Furthermore, the variation of the solute ratios during the events can indicate which catchment processes are dominant and which are negligible.
Pierre Laluet, Luis Olivera-Guerra, Víctor Altés, Vincent Rivalland, Alexis Jeantet, Julien Tournebize, Omar Cenobio-Cruz, Anaïs Barella-Ortiz, Pere Quintana-Seguí, Josep Maria Villar, and Olivier Merlin
Hydrol. Earth Syst. Sci., 28, 3695–3716, https://doi.org/10.5194/hess-28-3695-2024, https://doi.org/10.5194/hess-28-3695-2024, 2024
Short summary
Short summary
Monitoring agricultural drainage flow in irrigated areas is key to water and soil management. In this paper, four simple drainage models are evaluated on two irrigated sub-basins where drainage flow is measured daily. The evaluation of their precision shows that they simulate drainage very well when calibrated with drainage data and that one of them is slightly better. The evaluation of their accuracy shows that only one model can provide rough drainage estimates without calibration data.
Léonard Santos, Vazken Andréassian, Torben O. Sonnenborg, Göran Lindström, Alban de Lavenne, Charles Perrin, Lila Collet, and Guillaume Thirel
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-80, https://doi.org/10.5194/hess-2024-80, 2024
Revised manuscript accepted for HESS
Short summary
Short summary
This work aims at investigating how hydrological models can be transferred to a period in which climatic conditions are different to the ones of the period in which it was set up. The RAT method, built to detect dependencies between model error and climatic drivers, was applied to 3 different hydrological models on 352 catchments in Denmark, France and Sweden. Potential issues are detected for a significant number of catchments for the 3 models even though these catchments differ for each model.
Bruno J. Lemaire, Cédric Chaumont, Julien Tournebize, and Hocine Henine
Proc. IAHS, 385, 135–140, https://doi.org/10.5194/piahs-385-135-2024, https://doi.org/10.5194/piahs-385-135-2024, 2024
Short summary
Short summary
The potential of constructed wetland to remove nitrate and pesticides increases with the residence time. The aim of this work is to investigate how the hydraulic performance changes with the flow rate in a party vegetated wetland, using the 3D hydrodynamic model. It was calibrated on continuous outflow concentration and tracing experiment. The simulation matched satisfactorily with observation. Results showed a limited increase of the hydraulic performance with the flow rate.
Cyril Thébault, Charles Perrin, Vazken Andréassian, Guillaume Thirel, Sébastien Legrand, and Olivier Delaigue
Hydrol. Earth Syst. Sci., 28, 1539–1566, https://doi.org/10.5194/hess-28-1539-2024, https://doi.org/10.5194/hess-28-1539-2024, 2024
Short summary
Short summary
Streamflow forecasting is useful for many applications, ranging from population safety (e.g. floods) to water resource management (e.g. agriculture or hydropower). To this end, hydrological models must be optimized. However, a model is inherently wrong. This study aims to analyse the contribution of a multi-model approach within a variable spatial framework to improve streamflow simulations. The underlying idea is to take advantage of the strength of each modelling framework tested.
Nils Poncet, Philippe Lucas-Picher, Yves Tramblay, Guillaume Thirel, Humberto Vergara, Jonathan Gourley, and Antoinette Alias
Nat. Hazards Earth Syst. Sci., 24, 1163–1183, https://doi.org/10.5194/nhess-24-1163-2024, https://doi.org/10.5194/nhess-24-1163-2024, 2024
Short summary
Short summary
High-resolution convection-permitting climate models (CPMs) are now available to better simulate rainstorm events leading to flash floods. In this study, two hydrological models are compared to simulate floods in a Mediterranean basin, showing a better ability of the CPM to reproduce flood peaks compared to coarser-resolution climate models. Future projections are also different, with a projected increase for the most severe floods and a potential decrease for the most frequent events.
Nicolai Brekenfeld, Solenn Cotel, Mikael Faucheux, Colin Fourtet, Yannick Hamon, Patrice Petitjean, Arnaud Blanchouin, Celine Bouillis, Marie-Claire Pierret, Hocine Henine, Anne-Catherine Pierson-Wickmann, Sophie Guillon, Paul Floury, and Ophelie Fovet
EGUsphere, https://doi.org/10.5194/egusphere-2024-902, https://doi.org/10.5194/egusphere-2024-902, 2024
Short summary
Short summary
In the last decade, the development of on-site field laboratories to measure water chemistry at sub-hourly measurement intervals drastically advanced while there is no litterature that provide detailed technical, organisational and operational guidelines in running such equipments. Based on our experiences of running three French field laboratories over seven years, we share the difficulties we encountered and the procedures we used to identify and eliminate their causes.
Laurent Strohmenger, Eric Sauquet, Claire Bernard, Jérémie Bonneau, Flora Branger, Amélie Bresson, Pierre Brigode, Rémy Buzier, Olivier Delaigue, Alexandre Devers, Guillaume Evin, Maïté Fournier, Shu-Chen Hsu, Sandra Lanini, Alban de Lavenne, Thibault Lemaitre-Basset, Claire Magand, Guilherme Mendoza Guimarães, Max Mentha, Simon Munier, Charles Perrin, Tristan Podechard, Léo Rouchy, Malak Sadki, Myriam Soutif-Bellenger, François Tilmant, Yves Tramblay, Anne-Lise Véron, Jean-Philippe Vidal, and Guillaume Thirel
Hydrol. Earth Syst. Sci., 27, 3375–3391, https://doi.org/10.5194/hess-27-3375-2023, https://doi.org/10.5194/hess-27-3375-2023, 2023
Short summary
Short summary
We present the results of a large visual inspection campaign of 674 streamflow time series in France. The objective was to detect non-natural records resulting from instrument failure or anthropogenic influences, such as hydroelectric power generation or reservoir management. We conclude that the identification of flaws in flow time series is highly dependent on the objectives and skills of individual evaluators, and we raise the need for better practices for data cleaning.
Olivier Delaigue, Pierre Brigode, Guillaume Thirel, and Laurent Coron
Hydrol. Earth Syst. Sci., 27, 3293–3327, https://doi.org/10.5194/hess-27-3293-2023, https://doi.org/10.5194/hess-27-3293-2023, 2023
Short summary
Short summary
Teaching hydrological modeling is an important, but difficult, matter. It requires appropriate tools and teaching material. In this article, we present the airGRteaching package, which is an open-source software tool relying on widely used hydrological models. This tool proposes an interface and numerous hydrological modeling exercises representing a wide range of hydrological applications. We show how this tool can be applied to simple but real-life cases.
Eva Sebok, Hans Jørgen Henriksen, Ernesto Pastén-Zapata, Peter Berg, Guillaume Thirel, Anthony Lemoine, Andrea Lira-Loarca, Christiana Photiadou, Rafael Pimentel, Paul Royer-Gaspard, Erik Kjellström, Jens Hesselbjerg Christensen, Jean Philippe Vidal, Philippe Lucas-Picher, Markus G. Donat, Giovanni Besio, María José Polo, Simon Stisen, Yvan Caballero, Ilias G. Pechlivanidis, Lars Troldborg, and Jens Christian Refsgaard
Hydrol. Earth Syst. Sci., 26, 5605–5625, https://doi.org/10.5194/hess-26-5605-2022, https://doi.org/10.5194/hess-26-5605-2022, 2022
Short summary
Short summary
Hydrological models projecting the impact of changing climate carry a lot of uncertainty. Thus, these models usually have a multitude of simulations using different future climate data. This study used the subjective opinion of experts to assess which climate and hydrological models are the most likely to correctly predict climate impacts, thereby easing the computational burden. The experts could select more likely hydrological models, while the climate models were deemed equally probable.
Thibault Lemaitre-Basset, Ludovic Oudin, Guillaume Thirel, and Lila Collet
Hydrol. Earth Syst. Sci., 26, 2147–2159, https://doi.org/10.5194/hess-26-2147-2022, https://doi.org/10.5194/hess-26-2147-2022, 2022
Short summary
Short summary
Increasing temperature will impact evaporation and water resource management. Hydrological models are fed with an estimation of the evaporative demand of the atmosphere, called potential evapotranspiration (PE). The objectives of this study were (1) to compute the future PE anomaly over France and (2) to determine the impact of the choice of the method to estimate PE. Our results show that all methods present similar future trends. No method really stands out from the others.
Paul Royer-Gaspard, Vazken Andréassian, and Guillaume Thirel
Hydrol. Earth Syst. Sci., 25, 5703–5716, https://doi.org/10.5194/hess-25-5703-2021, https://doi.org/10.5194/hess-25-5703-2021, 2021
Short summary
Short summary
Most evaluation studies based on the differential split-sample test (DSST) endorse the consensus that rainfall–runoff models lack climatic robustness. In this technical note, we propose a new performance metric to evaluate model robustness without applying the DSST and which can be used with a single hydrological model calibration. Our work makes it possible to evaluate the temporal transferability of any hydrological model, including uncalibrated models, at a very low computational cost.
Pierre Nicolle, Vazken Andréassian, Paul Royer-Gaspard, Charles Perrin, Guillaume Thirel, Laurent Coron, and Léonard Santos
Hydrol. Earth Syst. Sci., 25, 5013–5027, https://doi.org/10.5194/hess-25-5013-2021, https://doi.org/10.5194/hess-25-5013-2021, 2021
Short summary
Short summary
In this note, a new method (RAT) is proposed to assess the robustness of hydrological models. The RAT method is particularly interesting because it does not require multiple calibrations (it is therefore applicable to uncalibrated models), and it can be used to determine whether a hydrological model may be safely used for climate change impact studies. Success at the robustness assessment test is a necessary (but not sufficient) condition of model robustness.
Paul C. Astagneau, Guillaume Thirel, Olivier Delaigue, Joseph H. A. Guillaume, Juraj Parajka, Claudia C. Brauer, Alberto Viglione, Wouter Buytaert, and Keith J. Beven
Hydrol. Earth Syst. Sci., 25, 3937–3973, https://doi.org/10.5194/hess-25-3937-2021, https://doi.org/10.5194/hess-25-3937-2021, 2021
Short summary
Short summary
The R programming language has become an important tool for many applications in hydrology. In this study, we provide an analysis of some of the R tools providing hydrological models. In total, two aspects are uniformly investigated, namely the conceptualisation of the models and the practicality of their implementation for end-users. These comparisons aim at easing the choice of R tools for users and at improving their usability for hydrology modelling to support more transferable research.
Laurène J. E. Bouaziz, Fabrizio Fenicia, Guillaume Thirel, Tanja de Boer-Euser, Joost Buitink, Claudia C. Brauer, Jan De Niel, Benjamin J. Dewals, Gilles Drogue, Benjamin Grelier, Lieke A. Melsen, Sotirios Moustakas, Jiri Nossent, Fernando Pereira, Eric Sprokkereef, Jasper Stam, Albrecht H. Weerts, Patrick Willems, Hubert H. G. Savenije, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 25, 1069–1095, https://doi.org/10.5194/hess-25-1069-2021, https://doi.org/10.5194/hess-25-1069-2021, 2021
Short summary
Short summary
We quantify the differences in internal states and fluxes of 12 process-based models with similar streamflow performance and assess their plausibility using remotely sensed estimates of evaporation, snow cover, soil moisture and total storage anomalies. The dissimilarities in internal process representation imply that these models cannot all simultaneously be close to reality. Therefore, we invite modelers to evaluate their models using multiple variables and to rely on multi-model studies.
Manon Cassagnole, Maria-Helena Ramos, Ioanna Zalachori, Guillaume Thirel, Rémy Garçon, Joël Gailhard, and Thomas Ouillon
Hydrol. Earth Syst. Sci., 25, 1033–1052, https://doi.org/10.5194/hess-25-1033-2021, https://doi.org/10.5194/hess-25-1033-2021, 2021
Louise J. Slater, Guillaume Thirel, Shaun Harrigan, Olivier Delaigue, Alexander Hurley, Abdou Khouakhi, Ilaria Prosdocimi, Claudia Vitolo, and Katie Smith
Hydrol. Earth Syst. Sci., 23, 2939–2963, https://doi.org/10.5194/hess-23-2939-2019, https://doi.org/10.5194/hess-23-2939-2019, 2019
Short summary
Short summary
This paper explores the benefits and advantages of R's usage in hydrology. We provide an overview of a typical hydrological workflow based on reproducible principles and packages for retrieval of hydro-meteorological data, spatial analysis, hydrological modelling, statistics, and the design of static and dynamic visualizations and documents. We discuss some of the challenges that arise when using R in hydrology as well as a roadmap for R’s future within the discipline.
Theano Iliopoulou, Cristina Aguilar, Berit Arheimer, María Bermúdez, Nejc Bezak, Andrea Ficchì, Demetris Koutsoyiannis, Juraj Parajka, María José Polo, Guillaume Thirel, and Alberto Montanari
Hydrol. Earth Syst. Sci., 23, 73–91, https://doi.org/10.5194/hess-23-73-2019, https://doi.org/10.5194/hess-23-73-2019, 2019
Short summary
Short summary
We investigate the seasonal memory properties of a large sample of European rivers in terms of high and low flows. We compute seasonal correlations between peak and low flows and average flows in the previous seasons and explore the links with various physiographic and hydro-climatic catchment descriptors. Our findings suggest that there is a traceable physical basis for river memory which in turn can be employed to reduce uncertainty and improve probabilistic predictions of floods and droughts.
Léonard Santos, Guillaume Thirel, and Charles Perrin
Hydrol. Earth Syst. Sci., 22, 4583–4591, https://doi.org/10.5194/hess-22-4583-2018, https://doi.org/10.5194/hess-22-4583-2018, 2018
Short summary
Short summary
The Kling and Gupta efficiency (KGE) is a score used in hydrology to evaluate flow simulation compared to observations. In order to force the evaluation on the low flows, some authors used the log-transformed flow to calculate the KGE. In this technical note, we show that this transformation should be avoided because it produced numerical flaws that lead to difficulties in the score value interpretation.
Gaia Piazzi, Guillaume Thirel, Lorenzo Campo, and Simone Gabellani
The Cryosphere, 12, 2287–2306, https://doi.org/10.5194/tc-12-2287-2018, https://doi.org/10.5194/tc-12-2287-2018, 2018
Short summary
Short summary
The study focuses on the development of a multivariate particle filtering data assimilation scheme into a point-scale snow model. One of the main challenging issues concerns the impoverishment of the particle sample, which is addressed by jointly perturbing meteorological data and model parameters. An additional snow density model is introduced to reduce sensitivity to the availability of snow mass-related observations. In this configuration, the system reveals a satisfying performance.
Léonard Santos, Guillaume Thirel, and Charles Perrin
Geosci. Model Dev., 11, 1591–1605, https://doi.org/10.5194/gmd-11-1591-2018, https://doi.org/10.5194/gmd-11-1591-2018, 2018
Short summary
Short summary
Many rainfall–runoff models are based on stores. However, the differential equations that describe the stores' evolution are rarely presented in literature.
This represents an issue when the temporal resolution changes. In this work, we propose and evaluate a state-space version of a simple rainfall–runoff model within a robust resolution scheme. The results show that the proposed model performs equally well or slightly better than the original one and is independent of the temporal resolution.
Philippe Riboust, Nicolas Le Moine, Guillaume Thirel, and Pierre Ribstein
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-539, https://doi.org/10.5194/hess-2017-539, 2017
Revised manuscript not accepted
Short summary
Short summary
In hydrological modelling complex forcing data are often needed to reproduce the energy balance, mainly for simulating snowmelt and evapotranspiration processes. Incoming radiation data are not widely measured and are often derived from reanalyses. We provide a method for simulating these radiations in mountainous areas using only daily temperature range data and a digital elevation model. The method has been validated on 105 weather stations and a simple snow surface temperature model.
Tanja de Boer-Euser, Laurène Bouaziz, Jan De Niel, Claudia Brauer, Benjamin Dewals, Gilles Drogue, Fabrizio Fenicia, Benjamin Grelier, Jiri Nossent, Fernando Pereira, Hubert Savenije, Guillaume Thirel, and Patrick Willems
Hydrol. Earth Syst. Sci., 21, 423–440, https://doi.org/10.5194/hess-21-423-2017, https://doi.org/10.5194/hess-21-423-2017, 2017
Short summary
Short summary
In this study, the rainfall–runoff models of eight international research groups were compared for a set of subcatchments of the Meuse basin to investigate the influence of certain model components on the modelled discharge. Although the models showed similar performances based on general metrics, clear differences could be observed for specific events. The differences during drier conditions could indeed be linked to differences in model structures.
Alban de Lavenne, Guillaume Thirel, Vazken Andréassian, Charles Perrin, and Maria-Helena Ramos
Proc. IAHS, 373, 87–94, https://doi.org/10.5194/piahs-373-87-2016, https://doi.org/10.5194/piahs-373-87-2016, 2016
Short summary
Short summary
Developing modelling tools that help to understand the spatial distribution of water resources is a key issue for better management. Ideally, hydrological models which discretise catchment space into sub-catchments should offer better streamflow simulations than lumped models, along with spatially-relevant water resources management solutions. However we demonstrate that those model raise other issues related to the calibration strategy and to the identifiability of the parameters.
Related subject area
Subject: Water Resources Management | Techniques and Approaches: Modelling approaches
Assessment of upscaling methodologies for daily crop transpiration using sap flows and two-source energy balance models in almonds under different water statuses and production systems
Making a case for power-sensitive water modelling: a literature review
Developing water supply reservoir operating rules for large-scale hydrological modelling
An investigation of anthropogenic influences on hydrologic connectivity using model stress tests
The H2Ours game to explore water use, resources and sustainability: connecting issues in two landscapes in Indonesia
Drainage assessment of irrigation districts: on the precision and accuracy of four parsimonious models
Impact of reservoir evaporation on future water availability in north-eastern Brazil: a multi-scenario assessment
How economically and environmentally viable are multiple dams in the upper Cauvery Basin, India? A hydro-economic analysis using a landscape-based hydrological model
Leveraging a novel hybrid ensemble and optimal interpolation approach for enhanced streamflow and flood prediction
The interprovincial green water flow in China and its tele-connected effects on socio-economy
Spatially explicit assessment of water scarcity and potential mitigating solutions in a large water-limited basin: the Yellow River basin in China
A generalised ecohydrological landscape classification for assessing ecosystem risk in Australia due to an altering water regime
Determining the threshold of issuing flash flood warnings based on people’s response process simulation
Modeling water balance components of conifer species using the Noah-MP model in an eastern Mediterranean ecosystem
A scalable and modular reservoir implementation for large scale integrated hydrologic simulations
Process-based three-layer synergistic optimal-allocation model for complex water resource systems considering reclaimed water
Joint optimal operation of the South-to-North Water Diversion Project considering the evenness of water deficit
Employing the generalized Pareto distribution to analyze extreme rainfall events on consecutive rainy days in Thailand's Chi watershed: implications for flood management
Modeling hydropower operations at the scale of a power grid: a demand-based approach
How to account for irrigation withdrawals in a watershed model
Inferring reservoir filling strategies under limited-data-availability conditions using hydrological modeling and Earth observations: the case of the Grand Ethiopian Renaissance Dam (GERD)
The precision of satellite-based net irrigation quantification in the Indus and Ganges basins
Developing a Bayesian network model for understanding river catchment resilience under future change scenarios
Quantifying the trade-offs in re-operating dams for the environment in the Lower Volta River
Dynamically coupling system dynamics and SWAT+ models using Tinamït: application of modular tools for coupled human–water system models
Development of an integrated socio-hydrological modeling framework for assessing the impacts of shelter location arrangement and human behaviors on flood evacuation processes
Cooperation in a transboundary river basin: a large-scale socio-hydrological model of the Eastern Nile
Flexible forecast value metric suitable for a wide range of decisions: application using probabilistic subseasonal streamflow forecasts
An improved model of shade-affected stream temperature in Soil & Water Assessment Tool
Seasonal forecasting of snow resources at Alpine sites
Operationalizing equity in multipurpose water systems
Evaluation of a new observationally based channel parameterization for the National Water Model
High-resolution drought simulations and comparison to soil moisture observations in Germany
Cooperation under conflict: participatory hydrological modeling for science policy dialogues for the Aculeo Lake
Socio-hydrological modeling of the tradeoff between flood control and hydropower provided by the Columbia River Treaty
Challenges and benefits of quantifying irrigation through the assimilation of Sentinel-1 backscatter observations into Noah-MP
A system dynamic model to quantify the impacts of water resources allocation on water–energy–food–society (WEFS) nexus
Net irrigation requirement under different climate scenarios using AquaCrop over Europe
The role of multi-criteria decision analysis in a transdisciplinary process: co-developing a flood forecasting system in western Africa
Unfolding the relationship between seasonal forecast skill and value in hydropower production: a global analysis
Drought impact links to meteorological drought indicators and predictability in Spain
Opportunities for seasonal forecasting to support water management outside the tropics
Probabilistic modelling of the inherent field-level pesticide pollution risk in a small drinking water catchment using spatial Bayesian belief networks
Are maps of nitrate reduction in groundwater altered by climate and land use changes?
Historical simulation of maize water footprints with a new global gridded crop model ACEA
Future upstream water consumption and its impact on downstream water availability in the transboundary Indus Basin
Identifying the dynamic evolution and feedback process of water resources nexus system considering socioeconomic development, ecological protection, and food security: A practical tool for sustainable water use
Optimizing a backscatter forward operator using Sentinel-1 data over irrigated land
Spatially distributed impacts of climate change and groundwater demand on the water resources in a wadi system
Delineation of dew formation zones in Iran using long-term model simulations and cluster analysis
Manuel Quintanilla-Albornoz, Xavier Miarnau, Ana Pelechá, Héctor Nieto, and Joaquim Bellvert
Hydrol. Earth Syst. Sci., 28, 4797–4818, https://doi.org/10.5194/hess-28-4797-2024, https://doi.org/10.5194/hess-28-4797-2024, 2024
Short summary
Short summary
Remote sensing can be a helpful tool for monitoring crop transpiration (T) for agricultural water management. Since remote sensing provides instantaneous data, upscaling techniques are required to estimate T on a daily scale. This study assesses optimal image acquisition times and four upscaling approaches to estimate daily T. The results indicate that the main errors derive from measurement time and water stress levels, which can be mitigated by choosing a proper upscaling approach.
Rozemarijn ter Horst, Rossella Alba, Jeroen Vos, Maria Rusca, Jonatan Godinez-Madrigal, Lucie V. Babel, Gert Jan Veldwisch, Jean-Philippe Venot, Bruno Bonté, David W. Walker, and Tobias Krueger
Hydrol. Earth Syst. Sci., 28, 4157–4186, https://doi.org/10.5194/hess-28-4157-2024, https://doi.org/10.5194/hess-28-4157-2024, 2024
Short summary
Short summary
The exact power of models often remains hidden, especially when neutrality is claimed. Our review of 61 scientific articles shows that in the scientific literature little attention is given to the power of water models to influence development processes and outcomes. However, there is a lot to learn from those who are openly reflexive. Based on lessons from the review, we call for power-sensitive modelling, which means that people are critical about how models are made and with what effects.
Saskia Salwey, Gemma Coxon, Francesca Pianosi, Rosanna Lane, Chris Hutton, Michael Bliss Singer, Hilary McMillan, and Jim Freer
Hydrol. Earth Syst. Sci., 28, 4203–4218, https://doi.org/10.5194/hess-28-4203-2024, https://doi.org/10.5194/hess-28-4203-2024, 2024
Short summary
Short summary
Reservoirs are essential for water resource management and can significantly impact downstream flow. However, representing reservoirs in hydrological models can be challenging, particularly across large scales. We design a new and simple method for simulating river flow downstream of water supply reservoirs using only open-access data. We demonstrate the approach in 264 reservoir catchments across Great Britain, where we can significantly improve the simulation of reservoir-impacted flow.
Amelie Herzog, Jost Hellwig, and Kerstin Stahl
Hydrol. Earth Syst. Sci., 28, 4065–4083, https://doi.org/10.5194/hess-28-4065-2024, https://doi.org/10.5194/hess-28-4065-2024, 2024
Short summary
Short summary
Surface water–groundwater interaction can vary along a river. This study used a groundwater model that reproduced relative observed longitudinal and vertical connectivity patterns in the river network to assess the system's response to imposed stress tests. For the case study, imposed groundwater abstraction appears to influence connectivity relatively more than altered recharge, but a quantification of absolute exchange flows will require further model improvements.
Lisa Tanika, Rika Ratna Sari, Arief Lukman Hakim, Meine van Noordwijk, Marielos Peña-Claros, Beria Leimona, Edi Purwanto, and Erika N. Speelman
Hydrol. Earth Syst. Sci., 28, 3807–3835, https://doi.org/10.5194/hess-28-3807-2024, https://doi.org/10.5194/hess-28-3807-2024, 2024
Short summary
Short summary
The H2Ours game is designed to facilitate knowledge transfer and sharing among stakeholders to trigger commitment and collaborative action to restore hydrological conditions. The adaptability of the H2Ours game was proven in two different landscapes: groundwater recharge in upper to middle sub-watersheds with (over)use of water in the lowland zone and a peatland with drainage, rewetting, oil palm conversion and fire as issues. The game evaluation shows that the H2Ours game meets its purpose.
Pierre Laluet, Luis Olivera-Guerra, Víctor Altés, Vincent Rivalland, Alexis Jeantet, Julien Tournebize, Omar Cenobio-Cruz, Anaïs Barella-Ortiz, Pere Quintana-Seguí, Josep Maria Villar, and Olivier Merlin
Hydrol. Earth Syst. Sci., 28, 3695–3716, https://doi.org/10.5194/hess-28-3695-2024, https://doi.org/10.5194/hess-28-3695-2024, 2024
Short summary
Short summary
Monitoring agricultural drainage flow in irrigated areas is key to water and soil management. In this paper, four simple drainage models are evaluated on two irrigated sub-basins where drainage flow is measured daily. The evaluation of their precision shows that they simulate drainage very well when calibrated with drainage data and that one of them is slightly better. The evaluation of their accuracy shows that only one model can provide rough drainage estimates without calibration data.
Gláuber Pontes Rodrigues, Arlena Brosinsky, Ítalo Sampaio Rodrigues, George Leite Mamede, and José Carlos de Araújo
Hydrol. Earth Syst. Sci., 28, 3243–3260, https://doi.org/10.5194/hess-28-3243-2024, https://doi.org/10.5194/hess-28-3243-2024, 2024
Short summary
Short summary
The research focuses on a 4-million-inhabitant tropical region supplied by a network of open-water reservoirs where the dry season lasts for 8 months (Jun−Dec). We analysed the impact of four climate change scenarios on the evaporation rate and the associated availability (water yield distributed per year). The worst-case scenario shows that by the end of the century (2071−2099), the evaporation rate in the dry season could increase by 6 %, which would reduce stored water by about 80 %.
Anjana Ekka, Yong Jiang, Saket Pande, and Pieter van der Zaag
Hydrol. Earth Syst. Sci., 28, 3219–3241, https://doi.org/10.5194/hess-28-3219-2024, https://doi.org/10.5194/hess-28-3219-2024, 2024
Short summary
Short summary
For the first time, we analyse the economic and ecological performance of existing multiple big reservoirs on a daily timescale for a major river basin (upper Cauvery) in India, where pre-intervention data were not available but where there are increasing calls for such assessments. Results show that smaller reservoirs on smaller streams that maximize the economic value of stored water are better for the basin economy and the environment. The approach can help to prioritize dam removals.
Mohamad El Gharamti, Arezoo Rafieeinasab, and James L. McCreight
Hydrol. Earth Syst. Sci., 28, 3133–3159, https://doi.org/10.5194/hess-28-3133-2024, https://doi.org/10.5194/hess-28-3133-2024, 2024
Short summary
Short summary
This study introduces a hybrid data assimilation scheme for precise streamflow predictions during intense rainfall and hurricanes. Tested in real events, it outperforms traditional methods by up to 50 %, utilizing ensemble and climatological background covariances. The adaptive algorithm ensures reliability with a small ensemble, offering improved forecasts up to 18 h in advance, marking a significant advancement in flood prediction capabilities.
Shan Sang, Yan Li, Chengcheng Hou, Shuangshuang Zi, and Huiqing Lin
EGUsphere, https://doi.org/10.5194/egusphere-2024-1420, https://doi.org/10.5194/egusphere-2024-1420, 2024
Short summary
Short summary
Green water flow among each province in China embodies substantial socio-economic values. Green water flow and its tele-connected socio-economic effects should be considered in water resources management in additional to blue water.
Weibin Zhang, Xining Zhao, Xuerui Gao, Wei Liang, Junyi Li, and Baoqing Zhang
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-88, https://doi.org/10.5194/hess-2024-88, 2024
Revised manuscript under review for HESS
Short summary
Short summary
An integrated framework was applied in the Yellow River basin to assess the water crisis. Results indicate worsening water scarcity during 1965‒2013, driven by irrigation and climate changes. Local water yield and upstream flows are key drivers of sub-basin water availability. To reduce the water deficit of 10 km3 by 2030s, enhancing irrigation efficiency and water transfer project are crucial, emphasizing the imperative of combining supply and demand-oriented measures to solve the water crisis.
Alexander Herr, Linda E. Merrin, Patrick J. Mitchell, Anthony P. O'Grady, Kate L. Holland, Richard E. Mount, David A. Post, Chris R. Pavey, and Ashley D. Sparrow
Hydrol. Earth Syst. Sci., 28, 1957–1979, https://doi.org/10.5194/hess-28-1957-2024, https://doi.org/10.5194/hess-28-1957-2024, 2024
Short summary
Short summary
We develop an ecohydrological classification for regions with limited hydrological records. It provides causal links of landscape features and their water requirement. The classification is an essential framework for modelling the impact of future coal resource developments via water on the features. A rule set combines diverse data with prioritisation, resulting in a transparent, repeatable and adjustable approach. We show examples of linking ecohydrology with environmental impacts.
Ruikang Zhang, Dedi Liu, Lihua Xiong, Jie Chen, Hua Chen, and Jiabo Yin
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-130, https://doi.org/10.5194/hess-2024-130, 2024
Revised manuscript accepted for HESS
Short summary
Short summary
Flash flood warnings cannot be effective without people’s responses to them. We propose a method to determine the threshold of issuing the warnings based on the people’s response process simulation. The results show that adjusting the warning threshold according to the people’s tolerance levels of the failed warnings can improve warning effectiveness, but the prerequisite is to increase the forecasting accuracy and decrease the forecasting variance.
Mohsen Amini Fasakhodi, Hakan Djuma, Ioannis Sofokleous, Marinos Eliades, and Adriana Bruggeman
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-107, https://doi.org/10.5194/hess-2024-107, 2024
Revised manuscript accepted for HESS
Short summary
Short summary
This study examined the water use of pine and cypress trees in a semi-arid Mediterranean forest environment. We applied a widely used land surface model (Noah-MP) to simulate the water balance of the ecosystem. We found good modeling results for soil moisture. However, the model underestimated the transpiration of the trees during the dry summer months. These findings indicate that more research is needed to improve the modeling of ecosystem responses to climate and land use change.
Benjamin D. West, Reed M. Maxwell, and Laura E. Condon
EGUsphere, https://doi.org/10.5194/egusphere-2024-965, https://doi.org/10.5194/egusphere-2024-965, 2024
Short summary
Short summary
This article describes the addition of reservoirs to the hydrologic model, ParFlow. ParFlow is particularly good at helping us understand some of the broader drivers behind different parts of the water cycle. By having reservoirs in such a model we hope to be better able to understand both our impacts on the environment, and how to adjust our management of reservoirs to changing conditions.
Jing Liu, Yue-Ping Xu, Wei Zhang, Shiwu Wang, and Siwei Chen
Hydrol. Earth Syst. Sci., 28, 1325–1350, https://doi.org/10.5194/hess-28-1325-2024, https://doi.org/10.5194/hess-28-1325-2024, 2024
Short summary
Short summary
Applying optimal water allocation models to simultaneously enable economic benefits, water preferences, and environmental demands at different decision levels, timescales, and regions is a challenge. In this study, a process-based three-layer synergistic optimal-allocation model (PTSOA) is established to achieve these goals. Reused, reclaimed water is also coupled to capture environmentally friendly solutions. Network analysis was introduced to reduce competition among different stakeholders.
Bing-Yi Zhou, Guo-Hua Fang, Xin Li, Jian Zhou, and Hua-Yu Zhong
Hydrol. Earth Syst. Sci., 28, 817–832, https://doi.org/10.5194/hess-28-817-2024, https://doi.org/10.5194/hess-28-817-2024, 2024
Short summary
Short summary
The current unreasonable inter-basin water transfer operation leads to the problem of spatial and temporal imbalances in water allocation. This paper defines a water deficit evenness index and incorporates it into a joint optimization model for the Jiangsu section of the South-to-North Water Diversion Project considering ecology and economy. At the same time, the lake storage capacity performs well, and the water transfer efficiency of the river is significantly improved.
Tossapol Phoophiwfa, Prapawan Chomphuwiset, Thanawan Prahadchai, Jeong-Soo Park, Arthit Apichottanakul, Watchara Theppang, and Piyapatr Busababodhin
Hydrol. Earth Syst. Sci., 28, 801–816, https://doi.org/10.5194/hess-28-801-2024, https://doi.org/10.5194/hess-28-801-2024, 2024
Short summary
Short summary
This study examines the impact of extreme rainfall events on flood risk management in Thailand's Chi watershed. By analyzing historical data, we identified regions, notably Udon Thani and Chaiyaphum, with a high risk of flash flooding. To aid in flood risk assessment, visual maps were created. The study underscores the importance of preparing for extreme rainfall events, particularly in the context of climate change, to effectively mitigate potential flood damage.
Laure Baratgin, Jan Polcher, Patrice Dumas, and Philippe Quirion
EGUsphere, https://doi.org/10.5194/egusphere-2023-3106, https://doi.org/10.5194/egusphere-2023-3106, 2024
Short summary
Short summary
Hydrological modeling is valuable for estimating the possible impacts of climate change on hydropower generation. In this study, we present a more comprehensive approach to model the management of hydroelectric reservoirs. The total power-grid demand is distributed to the various power plants according to their reservoir states to compute their release. The method is tested on France, and demonstrates that it succeeds in reproducing the observed behavior of reservoirs.
Elisabeth Brochet, Youen Grusson, Sabine Sauvage, Ludovic Lhuissier, and Valérie Demarez
Hydrol. Earth Syst. Sci., 28, 49–64, https://doi.org/10.5194/hess-28-49-2024, https://doi.org/10.5194/hess-28-49-2024, 2024
Short summary
Short summary
This study aims to take into account irrigation withdrawals in a watershed model. The model we used combines agriculture and hydrological modeling. Two different crop models were compared, the first based on air temperature and the second based on Sentinel-2 satellite data. Results show that including remote sensing data leads to better emergence dates. Both methods allow us to simulate the daily irrigation withdrawals and downstream flow with a good accuracy, especially during low-flow periods.
Awad M. Ali, Lieke A. Melsen, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci., 27, 4057–4086, https://doi.org/10.5194/hess-27-4057-2023, https://doi.org/10.5194/hess-27-4057-2023, 2023
Short summary
Short summary
Using a new approach based on a combination of modeling and Earth observation, useful information about the filling of the Grand Ethiopian Renaissance Dam can be obtained with limited data and proper rainfall selection. While the monthly streamflow into Sudan has decreased significantly (1.2 × 109–5 × 109 m3) with respect to the non-dam scenario, the negative impact has been masked due to higher-than-average rainfall. We reveal that the dam will need 3–5 more years to complete filling.
Søren J. Kragh, Rasmus Fensholt, Simon Stisen, and Julian Koch
Hydrol. Earth Syst. Sci., 27, 2463–2478, https://doi.org/10.5194/hess-27-2463-2023, https://doi.org/10.5194/hess-27-2463-2023, 2023
Short summary
Short summary
This study investigates the precision of irrigation estimates from a global hotspot of unsustainable irrigation practice, the Indus and Ganges basins. We show that irrigation water use can be estimated with high precision by comparing satellite and rainfed hydrological model estimates of evapotranspiration. We believe that our work can support sustainable water resource management, as it addresses the uncertainty of a key component of the water balance that remains challenging to quantify.
Kerr J. Adams, Christopher A. J. Macleod, Marc J. Metzger, Nicola Melville, Rachel C. Helliwell, Jim Pritchard, and Miriam Glendell
Hydrol. Earth Syst. Sci., 27, 2205–2225, https://doi.org/10.5194/hess-27-2205-2023, https://doi.org/10.5194/hess-27-2205-2023, 2023
Short summary
Short summary
We applied participatory methods to create a hybrid equation-based Bayesian network (BN) model to increase stakeholder understanding of catchment-scale resilience to the impacts of both climatic and socio-economic stressors to a 2050 time horizon. Our holistic systems-thinking approach enabled stakeholders to gain new perspectives on how future scenarios may influence their specific sectors and how their sector impacted other sectors and environmental conditions within the catchment system.
Afua Owusu, Jazmin Zatarain Salazar, Marloes Mul, Pieter van der Zaag, and Jill Slinger
Hydrol. Earth Syst. Sci., 27, 2001–2017, https://doi.org/10.5194/hess-27-2001-2023, https://doi.org/10.5194/hess-27-2001-2023, 2023
Short summary
Short summary
The construction of two dams in the Lower Volta River, Ghana, adversely affected downstream riverine ecosystems and communities. In contrast, Ghana has enjoyed vast economic benefits from the dams. Herein lies the challenge; there exists a trade-off between water for river ecosystems and water for anthropogenic water demands such hydropower. In this study, we quantify these trade-offs and show that there is room for providing environmental flows under current and future climatic conditions.
Joel Z. Harms, Julien J. Malard-Adam, Jan F. Adamowski, Ashutosh Sharma, and Albert Nkwasa
Hydrol. Earth Syst. Sci., 27, 1683–1693, https://doi.org/10.5194/hess-27-1683-2023, https://doi.org/10.5194/hess-27-1683-2023, 2023
Short summary
Short summary
To facilitate the meaningful participation of stakeholders in water management, model choice is crucial. We show how system dynamics models (SDMs), which are very visual and stakeholder-friendly, can be automatically combined with physically based hydrological models that may be more appropriate for modelling the water processes of a human–water system. This allows building participatory SDMs with stakeholders and delegating hydrological components to an external hydrological model.
Erhu Du, Feng Wu, Hao Jiang, Naliang Guo, Yong Tian, and Chunmiao Zheng
Hydrol. Earth Syst. Sci., 27, 1607–1626, https://doi.org/10.5194/hess-27-1607-2023, https://doi.org/10.5194/hess-27-1607-2023, 2023
Short summary
Short summary
This study develops an integrated socio-hydrological modeling framework that can simulate the entire flood management processes, including flood inundation, flood management policies, public responses, and evacuation activities. The model is able to holistically examine flood evacuation performance under the joint impacts of hydrological conditions, management policies (i.e., shelter location distribution), and human behaviors (i.e., evacuation preparation time and route-searching strategy).
Mohammad Ghoreishi, Amin Elshorbagy, Saman Razavi, Günter Blöschl, Murugesu Sivapalan, and Ahmed Abdelkader
Hydrol. Earth Syst. Sci., 27, 1201–1219, https://doi.org/10.5194/hess-27-1201-2023, https://doi.org/10.5194/hess-27-1201-2023, 2023
Short summary
Short summary
The study proposes a quantitative model of the willingness to cooperate in the Eastern Nile River basin. Our results suggest that the 2008 food crisis may account for Sudan recovering its willingness to cooperate with Ethiopia. Long-term lack of trust among the riparian countries may have reduced basin-wide cooperation. The model can be used to explore the effects of changes in future dam operations and other management decisions on the emergence of basin cooperation.
Richard Laugesen, Mark Thyer, David McInerney, and Dmitri Kavetski
Hydrol. Earth Syst. Sci., 27, 873–893, https://doi.org/10.5194/hess-27-873-2023, https://doi.org/10.5194/hess-27-873-2023, 2023
Short summary
Short summary
Forecasts may be valuable for user decisions, but current practice to quantify it has critical limitations. This study introduces RUV (relative utility value, a new metric that can be tailored to specific decisions and decision-makers. It illustrates how critical this decision context is when evaluating forecast value. This study paves the way for agencies to tailor the evaluation of their services to customer decisions and researchers to study model improvements through the lens of user impact.
Efrain Noa-Yarasca, Meghna Babbar-Sebens, and Chris Jordan
Hydrol. Earth Syst. Sci., 27, 739–759, https://doi.org/10.5194/hess-27-739-2023, https://doi.org/10.5194/hess-27-739-2023, 2023
Short summary
Short summary
Riparian vegetation has been identified as a strategy to control rising stream temperatures by shading streams. Riparian vegetation is included within a sub-basin-scale hydrological model and evaluated for full and efficient restoration scenarios. Results showed average temperature reductions of 0.91 and 0.86 °C for full and efficient riparian restoration, respectively. Notwithstanding the similar benefits, efficient restoration was 14.4 % cheaper than full riparian vegetation restoration.
Silvia Terzago, Giulio Bongiovanni, and Jost von Hardenberg
Hydrol. Earth Syst. Sci., 27, 519–542, https://doi.org/10.5194/hess-27-519-2023, https://doi.org/10.5194/hess-27-519-2023, 2023
Short summary
Short summary
Reliable seasonal forecasts of the abundance of mountain snowpack over the winter/spring ahead provide valuable information for water management, hydropower production and ski tourism. We present a climate service prototype to generate multi-model ensemble seasonal forecasts of mountain snow depth, based on Copernicus seasonal forecast system meteorological data used to force the SNOWPACK model. The prototype shows skill at predicting snow depth below and above normal and extremely dry seasons.
Guang Yang, Matteo Giuliani, and Andrea Castelletti
Hydrol. Earth Syst. Sci., 27, 69–81, https://doi.org/10.5194/hess-27-69-2023, https://doi.org/10.5194/hess-27-69-2023, 2023
Short summary
Short summary
Participatory decision-making is a well-established approach to address the increasing pressure on water systems that searches for system-wise efficient solutions but often does not quantify how the resulting benefits are distributed across stakeholders. In this work, we show how including equity principles into the design of water system operations enriches the solution space by generating more compromise solutions that balance efficiency and justice.
Aaron Heldmyer, Ben Livneh, James McCreight, Laura Read, Joseph Kasprzyk, and Toby Minear
Hydrol. Earth Syst. Sci., 26, 6121–6136, https://doi.org/10.5194/hess-26-6121-2022, https://doi.org/10.5194/hess-26-6121-2022, 2022
Short summary
Short summary
Measurements of channel characteristics are important for accurate forecasting in the NOAA National Water Model (NWM) but are scarcely available. We seek to improve channel representativeness in the NWM by updating channel geometry and roughness parameters using a large, previously unpublished, dataset of approximately 48 000 gauges. We find that the updated channel parameterization from this new dataset leads to improvements in simulated streamflow performance and channel representation.
Friedrich Boeing, Oldrich Rakovec, Rohini Kumar, Luis Samaniego, Martin Schrön, Anke Hildebrandt, Corinna Rebmann, Stephan Thober, Sebastian Müller, Steffen Zacharias, Heye Bogena, Katrin Schneider, Ralf Kiese, Sabine Attinger, and Andreas Marx
Hydrol. Earth Syst. Sci., 26, 5137–5161, https://doi.org/10.5194/hess-26-5137-2022, https://doi.org/10.5194/hess-26-5137-2022, 2022
Short summary
Short summary
In this paper, we deliver an evaluation of the second generation operational German drought monitor (https://www.ufz.de/duerremonitor) with a state-of-the-art compilation of observed soil moisture data from 40 locations and four different measurement methods in Germany. We show that the expressed stakeholder needs for higher resolution drought information at the one-kilometer scale can be met and that the agreement of simulated and observed soil moisture dynamics can be moderately improved.
Anahi Ocampo-Melgar, Pilar Barría, Cristián Chadwick, and Cesar Rivas
Hydrol. Earth Syst. Sci., 26, 5103–5118, https://doi.org/10.5194/hess-26-5103-2022, https://doi.org/10.5194/hess-26-5103-2022, 2022
Short summary
Short summary
This article examines how a hydrological model exploring the causes of a lake desiccation was turned into a 5-step participatory process to better adjust the model to address questions that were causing suspicions and conflicts in the community. Although the process was key in finding a combination of strategies that were of moderate impact and higher local acceptability, we address the challenges of such collaboration in modeling when conflict is deeply embedded in the context.
Ashish Shrestha, Felipe Augusto Arguello Souza, Samuel Park, Charlotte Cherry, Margaret Garcia, David J. Yu, and Eduardo Mario Mendiondo
Hydrol. Earth Syst. Sci., 26, 4893–4917, https://doi.org/10.5194/hess-26-4893-2022, https://doi.org/10.5194/hess-26-4893-2022, 2022
Short summary
Short summary
Equitable sharing of benefits is key to successful cooperation in transboundary water resource management. However, external changes can shift the split of benefits and shifts in the preferences regarding how an actor’s benefits compare to the other’s benefits. To understand how these changes can impact the robustness of cooperative agreements, we develop a socio-hydrological system dynamics model of the benefit sharing provision of the Columbia River Treaty and assess a series of scenarios.
Sara Modanesi, Christian Massari, Michel Bechtold, Hans Lievens, Angelica Tarpanelli, Luca Brocca, Luca Zappa, and Gabriëlle J. M. De Lannoy
Hydrol. Earth Syst. Sci., 26, 4685–4706, https://doi.org/10.5194/hess-26-4685-2022, https://doi.org/10.5194/hess-26-4685-2022, 2022
Short summary
Short summary
Given the crucial impact of irrigation practices on the water cycle, this study aims at estimating irrigation through the development of an innovative data assimilation system able to ingest high-resolution Sentinel-1 radar observations into the Noah-MP land surface model. The developed methodology has important implications for global water resource management and the comprehension of human impacts on the water cycle and identifies main challenges and outlooks for future research.
Yujie Zeng, Dedi Liu, Shenglian Guo, Lihua Xiong, Pan Liu, Jiabo Yin, and Zhenhui Wu
Hydrol. Earth Syst. Sci., 26, 3965–3988, https://doi.org/10.5194/hess-26-3965-2022, https://doi.org/10.5194/hess-26-3965-2022, 2022
Short summary
Short summary
The sustainability of the water–energy–food (WEF) nexus remains challenge, as interactions between WEF and human sensitivity and water resource allocation in water systems are often neglected. We incorporated human sensitivity and water resource allocation into a WEF nexus and assessed their impacts on the integrated system. This study can contribute to understanding the interactions across the water–energy–food–society nexus and improving the efficiency of resource management.
Louise Busschaert, Shannon de Roos, Wim Thiery, Dirk Raes, and Gabriëlle J. M. De Lannoy
Hydrol. Earth Syst. Sci., 26, 3731–3752, https://doi.org/10.5194/hess-26-3731-2022, https://doi.org/10.5194/hess-26-3731-2022, 2022
Short summary
Short summary
Increasing amounts of water are used for agriculture. Therefore, we looked into how irrigation requirements will evolve under a changing climate over Europe. Our results show that, by the end of the century and under high emissions, irrigation water will increase by 30 % on average compared to the year 2000. Also, the irrigation requirement is likely to vary more from 1 year to another. However, if emissions are mitigated, these effects are reduced.
Judit Lienert, Jafet C. M. Andersson, Daniel Hofmann, Francisco Silva Pinto, and Martijn Kuller
Hydrol. Earth Syst. Sci., 26, 2899–2922, https://doi.org/10.5194/hess-26-2899-2022, https://doi.org/10.5194/hess-26-2899-2022, 2022
Short summary
Short summary
Many western Africans encounter serious floods every year. The FANFAR project co-designed a pre-operational flood forecasting system (FEWS) with 50 key western African stakeholders. Participatory multi-criteria decision analysis (MCDA) helped prioritize a FEWS that meets their needs: it should provide accurate, clear, and timely flood risk information and work reliably in tough conditions. As a theoretical contribution, we propose an assessment framework for transdisciplinary hydrology research.
Donghoon Lee, Jia Yi Ng, Stefano Galelli, and Paul Block
Hydrol. Earth Syst. Sci., 26, 2431–2448, https://doi.org/10.5194/hess-26-2431-2022, https://doi.org/10.5194/hess-26-2431-2022, 2022
Short summary
Short summary
To fully realize the potential of seasonal streamflow forecasts in the hydropower industry, we need to understand the relationship between reservoir design specifications, forecast skill, and value. Here, we rely on realistic forecasts and simulated hydropower operations for 753 dams worldwide to unfold such relationship. Our analysis shows how forecast skill affects hydropower production, what type of dams are most likely to benefit from seasonal forecasts, and where these dams are located.
Herminia Torelló-Sentelles and Christian L. E. Franzke
Hydrol. Earth Syst. Sci., 26, 1821–1844, https://doi.org/10.5194/hess-26-1821-2022, https://doi.org/10.5194/hess-26-1821-2022, 2022
Short summary
Short summary
Drought affects many regions worldwide, and future climate projections imply that drought severity and frequency will increase. Hence, the impacts of drought on the environment and society will also increase considerably. Monitoring and early warning systems for drought rely on several indicators; however, assessments on how these indicators are linked to impacts are still lacking. Our results show that meteorological indices are best linked to impact occurrences.
Leah A. Jackson-Blake, François Clayer, Elvira de Eyto, Andrew S. French, María Dolores Frías, Daniel Mercado-Bettín, Tadhg Moore, Laura Puértolas, Russell Poole, Karsten Rinke, Muhammed Shikhani, Leon van der Linden, and Rafael Marcé
Hydrol. Earth Syst. Sci., 26, 1389–1406, https://doi.org/10.5194/hess-26-1389-2022, https://doi.org/10.5194/hess-26-1389-2022, 2022
Short summary
Short summary
We explore, together with stakeholders, whether seasonal forecasting of water quantity, quality, and ecology can help support water management at five case study sites, primarily in Europe. Reliable forecasting, a season in advance, has huge potential to improve decision-making. However, managers were reluctant to use the forecasts operationally. Key barriers were uncertainty and often poor historic performance. The importance of practical hands-on experience was also highlighted.
Mads Troldborg, Zisis Gagkas, Andy Vinten, Allan Lilly, and Miriam Glendell
Hydrol. Earth Syst. Sci., 26, 1261–1293, https://doi.org/10.5194/hess-26-1261-2022, https://doi.org/10.5194/hess-26-1261-2022, 2022
Short summary
Short summary
Pesticides continue to pose a threat to surface water quality worldwide. Here, we present a spatial Bayesian belief network (BBN) for assessing inherent pesticide risk to water quality. The BBN was applied in a small catchment with limited data to simulate the risk of five pesticides and evaluate the likely effectiveness of mitigation measures. The probabilistic graphical model combines diverse data and explicitly accounts for uncertainties, which are often ignored in pesticide risk assessments.
Ida Karlsson Seidenfaden, Torben Obel Sonnenborg, Jens Christian Refsgaard, Christen Duus Børgesen, Jørgen Eivind Olesen, and Dennis Trolle
Hydrol. Earth Syst. Sci., 26, 955–973, https://doi.org/10.5194/hess-26-955-2022, https://doi.org/10.5194/hess-26-955-2022, 2022
Short summary
Short summary
This study investigates how the spatial nitrate reduction in the subsurface may shift under changing climate and land use conditions. This change is investigated by comparing maps showing the spatial nitrate reduction in an agricultural catchment for current conditions, with maps generated for future projected climate and land use conditions. Results show that future climate flow paths may shift the catchment reduction noticeably, while implications of land use changes were less substantial.
Oleksandr Mialyk, Joep F. Schyns, Martijn J. Booij, and Rick J. Hogeboom
Hydrol. Earth Syst. Sci., 26, 923–940, https://doi.org/10.5194/hess-26-923-2022, https://doi.org/10.5194/hess-26-923-2022, 2022
Short summary
Short summary
As the global demand for crops is increasing, it is vital to understand spatial and temporal patterns of crop water footprints (WFs). Previous studies looked into spatial patterns but not into temporal ones. Here, we present a new process-based gridded crop model to simulate WFs and apply it for maize in 1986–2016. We show that despite the average unit WF reduction (−35 %), the global WF of maize production has increased (+50 %), which might harm ecosystems and human livelihoods in some regions.
Wouter J. Smolenaars, Sanita Dhaubanjar, Muhammad K. Jamil, Arthur Lutz, Walter Immerzeel, Fulco Ludwig, and Hester Biemans
Hydrol. Earth Syst. Sci., 26, 861–883, https://doi.org/10.5194/hess-26-861-2022, https://doi.org/10.5194/hess-26-861-2022, 2022
Short summary
Short summary
The arid plains of the lower Indus Basin rely heavily on the water provided by the mountainous upper Indus. Rapid population growth in the upper Indus is expected to increase the water that is consumed there. This will subsequently reduce the water that is available for the downstream plains, where the population and water demand are also expected to grow. In future, this may aggravate tensions over the division of water between the countries that share the Indus Basin.
Yaogeng Tan, Zengchuan Dong, Sandra M. Guzman, Xinkui Wang, and Wei Yan
Hydrol. Earth Syst. Sci., 25, 6495–6522, https://doi.org/10.5194/hess-25-6495-2021, https://doi.org/10.5194/hess-25-6495-2021, 2021
Short summary
Short summary
The rapid increase in economic development and urbanization is contributing to the imbalances and conflicts between water supply and demand and further deteriorates river ecological health, which intensifies their interactions and causes water unsustainability. This paper proposes a methodology for sustainable development of water resources, considering socioeconomic development, food safety, and ecological protection, and the dynamic interactions across those water users are further assessed.
Sara Modanesi, Christian Massari, Alexander Gruber, Hans Lievens, Angelica Tarpanelli, Renato Morbidelli, and Gabrielle J. M. De Lannoy
Hydrol. Earth Syst. Sci., 25, 6283–6307, https://doi.org/10.5194/hess-25-6283-2021, https://doi.org/10.5194/hess-25-6283-2021, 2021
Short summary
Short summary
Worldwide, the amount of water used for agricultural purposes is rising and the quantification of irrigation is becoming a crucial topic. Land surface models are not able to correctly simulate irrigation. Remote sensing observations offer an opportunity to fill this gap as they are directly affected by irrigation. We equipped a land surface model with an observation operator able to transform Sentinel-1 backscatter observations into realistic vegetation and soil states via data assimilation.
Nariman Mahmoodi, Jens Kiesel, Paul D. Wagner, and Nicola Fohrer
Hydrol. Earth Syst. Sci., 25, 5065–5081, https://doi.org/10.5194/hess-25-5065-2021, https://doi.org/10.5194/hess-25-5065-2021, 2021
Short summary
Short summary
In this study, we assessed the sustainability of water resources in a wadi region with the help of a hydrologic model. Our assessment showed that the increases in groundwater demand and consumption exacerbate the negative impact of climate change on groundwater sustainability and hydrologic regime alteration. These alterations have severe consequences for a downstream wetland and its ecosystem. The approach may be applicable in other wadi regions with different climate and water use systems.
Nahid Atashi, Dariush Rahimi, Victoria A. Sinclair, Martha A. Zaidan, Anton Rusanen, Henri Vuollekoski, Markku Kulmala, Timo Vesala, and Tareq Hussein
Hydrol. Earth Syst. Sci., 25, 4719–4740, https://doi.org/10.5194/hess-25-4719-2021, https://doi.org/10.5194/hess-25-4719-2021, 2021
Short summary
Short summary
Dew formation potential during a long-term period (1979–2018) was assessed in Iran to identify dew formation zones and to investigate the impacts of long-term variation in meteorological parameters on dew formation. Six dew formation zones were identified based on cluster analysis of the time series of the simulated dew yield. The distribution of dew formation zones in Iran was closely aligned with topography and sources of moisture. The dew formation trend was significantly negative.
Cited articles
Abd-Elaty, I., Sallam, G. A. H., Straface, S., and Scozzari, A.: Effects of climate change on the design of subsurface drainage systems in coastal aquifers in arid/semi-arid regions: Case study of the Nile delta, Sci. Total Environ., 672, 283–295, https://doi.org/10.1016/j.scitotenv.2019.03.483, 2019.
Adriaanse, P., Allen, R., Gouy, V., Hollis, J., Hosang, J., Jarvis, N., Jarvis, T., Klein, M., Layton, R., and Linders, J.: Surface water models and EU registration of plant protection products, IRSTEA, available at: https://esdac.jrc.ec.europa.eu/public_path/projects_data/focus/docs/sw_en_6476VI96_24Feb1997.pdf (last access: 7 October 2021), 1996.
Anderson, M. P. and Woessner, W. W.: Applied Groundwater Modeling: Simulation of Flow and Advective Transport, Academic Press, San Diego, CA, USA, 1992.
Anon: RGA 2010 – Agreste, available at: http://recensement-agricole.agriculture.gouv.fr/ (last access: 25 August 2020), 2010.
Armstrong, A. C., Rands, J. G., and Castle, D. A.: Drainage benefits: Watertable control, workablility and crop yields, Agr. Water Manage., 14, 43–52, https://doi.org/10.1016/0378-3774(88)90059-5, 1988.
Arnold, J. G., Moriasi, D. N., Gassman, P. W., Abbaspour, K. C., White, M. J., Srinivasan, R., Santhi, C., Harmel, R. D., van Griensven, A., Van Liew, M., Kannan, N., and Jha, M. K.: SWAT: Model Use, Calibration, and Validation, T. ASABE, 55, 1491–1508, https://doi.org/10/f39v78, 2012.
Bailly, P. and Carrère, C.: Statistiques descriptives: Théorie et applications, in Statistiques descriptives. L'économie et les chiffres, 165–167, Presses universitaires de Grenoble, Grenobles, France, available at: http://journals.openedition.org/lectures/17705 (last access: 12 November 2020), 2015.
Baize, D. and Jabiol, B.: Guide pour la description des sols, Editions Quae, Versailles, France, available at: https://hal.archives-ouvertes.fr/hal-01195043 (last access: 10 November 2020), 2011.
Beskow, S., Mello, C. R., Norton, L. D., and da Silva, A. M.: Performance of a distributed semi-conceptual hydrological model under tropical watershed conditions, CATENA, 86, 160–171, https://doi.org/10/dvz95p, 2011.
Beulke, S., Brown, C. D., and Jarvis, N. J.: Macro: A Preferential Flow Model to Simulate Pesticide Leaching and Movement to Drains, in Modelling of Environmental Chemical Exposure and Risk, edited by: Linders, J. B. H. J., 117–132, Springer Netherlands, Dordrecht, https://doi.org/10.1007/978-94-010-0884-6_12, 2001.
Beven, K.: Changing ideas in hydrology – The case of physically-based models, J. Hydrol., 105, 157–172, https://doi.org/10/c8wt7q, 1989.
Beven, K. and Germann, P.: Macropores and water flow in soils, Water Resour. Res., 18, 1311–1325, https://doi.org/10.1029/WR018i005p01311, 1982.
Biswas, A.: Joint multifractal analysis for three variables: Characterizing the effect of topography and soil texture on soil water storage, Geoderma, 334, 15–23, https://doi.org/10.1016/j.geoderma.2018.07.035, 2019.
Biswas, A., Chau, H. W., Bedard-Haughn, A. K., and Si, B. C.: Factors controlling soil water storage in the hummocky landscape of the Prairie Pothole Region of North America, Can. J. Soil. Sci., 92, 649–663, https://doi.org/10.4141/cjss2011-045, 2012.
Boesten, J., Helweg, A., Businelli, M., Bergstrom, L., Schaefer, H., Delmas, A., Kloskowski, R., Walker, A., Travis, K., and Smeets, L.: Soil persistence models and EU registration, Final Report of the Work of the Soil Modelling Work Group of FOCUS, 1997.
Bouarfa, S. and Zimmer, D.: Water-table shapes and drain flow rates in shallow drainage systems, J. Hydrol., 235, 264–275, https://doi.org/10.1016/S0022-1694(00)00280-8, 2000.
Boussinesq, J.: Recherches théoriques sur l'écoulement des nappes d'eau infiltrées dans le sol et sur le débit des sources, J. Math. Pure. Appl., 10, 5–78, 1904.
Branger, F., Tournebize, J., Carluer, N., Kao, C., Braud, I., and Vauclin, M.: A simplified modelling approach for pesticide transport in a tile-drained field: The PESTDRAIN model, Agr. Water Manage., 96, 415–428, https://doi.org/10.1016/j.agwat.2008.09.005, 2009.
Breve, M. A., Skaggs, R. W., Gilliam, J. W., Parsons, J. E., Mohammad, A. T., Chescheir, G. M., and Evans, R. O.: Field testing of drainmod-N, Transactions of the ASAE (USA), available at: http://agris.fao.org/openagris/search.do?recordID=US1997059848 (last access: 28 February 2020), 1997.
Broadhead, R. G. and Skaggs, R. W.: Drainage strategies and peak flood flows, in 1982 Summer Meeting, St. Joseph, MI, American Society of Agricultural Engineers (ASAE), 1982.
Brocca, L., Morbidelli, R., Melone, F., and Moramarco, T.: Soil moisture spatial variability in experimental areas of central Italy, J. Hydrol., 333, 356–373, https://doi.org/10.1016/j.jhydrol.2006.09.004, 2007.
Brown, C. D. and van Beinum, W.: Pesticide transport via sub-surface drains in Europe, Environ. Pollut., 157, 3314–3324, https://doi.org/10/fsjg3b, 2009.
Brown, R. A., Skaggs, R. W., and Hunt, W. F.: Calibration and validation of DRAINMOD to model bioretention hydrology, J. Hydrol., 486, 430–442, https://doi.org/10.1016/j.jhydrol.2013.02.017, 2013.
Córdova, M., Carrillo-Rojas, G., Crespo, P., Wilcox, B., and Célleri, R.: Evaluation of the Penman-Monteith (FAO 56 PM) Method for Calculating Reference Evapotranspiration Using Limited Data, Mt. Res. Dev., 35, 230–239, https://doi.org/10.1659/MRD-JOURNAL-D-14-0024.1, 2015.
Coron, L., Andréassian, V., Perrin, C., Lerat, J., Vaze, J., Bourqui, M., and Hendrickx, F.: Crash testing hydrological models in contrasted climate conditions: An experiment on 216 Australian catchments, Water Resour. Res., 48, https://doi.org/10.1029/2011WR011721, 2012.
Coron, L., Thirel, G., Delaigue, O., Perrin, C., and Andréassian, V.: The Suite of Lumped GR Hydrological Models in an R package, Environ. Modell. Softw., 94, 166–171, https://doi.org/10.1016/j.envsoft.2017.05.002, 2017.
Coron, L., Delaigue, O., Thirel, G., Perrin, C., and Michel, C.: airGR: Suite of GR Hydrological Models for Precipitation-Runoff Modelling, R package version 1.4.3.65., INRAE, 2020.
Criss, R. E. and Winston, W. E.: Do Nash values have value? Discussion and alternate proposals, Hydrol. Process., 22, 2723–2725, https://doi.org/10.1002/hyp.7072, 2008.
Crochemore, L., Perrin, C., Andréassian, V., Ehret, U., Seibert, S. P., Grimaldi, S., Gupta, H., and Paturel, J.-E.: Comparing expert judgement and numerical criteria for hydrograph evaluation, Hydrolog. Sci. J., 60, 402–423, https://doi.org/10.1080/02626667.2014.903331, 2015.
Daggupati, P., Pai, N., Ale, S., Douglas-Mankin, K., Zeckoski, R., Jeong, J., Parajuli, P., Saraswat, D., and Youssef, M.: A Recommended Calibration and Validation Strategy for Hydrologic and Water Quality Models, T. ASABE, 58, 1705–1719, https://doi.org/10.13031/trans.58.10712, 2015.
Dairon, R., Dutertre, A., Tournebize, J., Marks-Perreau, J., and Carluer, N.: Long-term impact of reduced tillage on water and pesticide flow in a drained context, Environ. Sci. Pollut. R., 24, 6866–6877, https://doi.org/10.1007/s11356-016-8123-x, 2017.
Deelstra, J.: Climate change and subsurface drainage design: results from a small field-scale catchment in south-western Norway, Acta Agr. Scand. B-S. P., 65, 58–65, https://doi.org/10.1080/09064710.2014.975836, 2015.
Driessen, P., Deckers, J., Spaargaren, O., and Nachtergaele, F.: Lecture notes on the major soils of the world., Food and Agriculture Organization (FAO), Roma, Italy, 2000.
Eyring, V., Waugh, D. W., Bodeker, G. E., Cordero, E., Akiyoshi, H., Austin, J., Beagley, S. R., Boville, B. A., Braesicke, P., Brühl, C., Butchart, N., Chipperfield, M. P., Dameris, M., Deckert, R., Deushi, M., Frith, S. M., Garcia, R. R., Gettelman, A., Giorgetta, M. A., Kinnison, D. E., Mancini, E., Manzini, E., Marsh, D. R., Matthes, S., Nagashima, T., Newman, P. A., Nielsen, J. E., Pawson, S., Pitari, G., Plummer, D. A., Rozanov, E., Schraner, M., Scinocca, J. F., Semeniuk, K., Shepherd, T. G., Shibata, K., Steil, B., Stolarski, R. S., Tian, W., and Yoshiki, M.: Multimodel projections of stratospheric ozone in the 21st century, J. Geophys. Res., 112, D16303, https://doi.org/10/fcpq7n, 2007.
FAO: FAO-Unesco Soil Map of the World, Revised Legend, Reprinted with corrections, Tech. Rep., Rome, 1988.
Gowda, P. H., Mulla, D. J., Desmond, E. D., Ward, A. D., and Moriasi, D. N.: ADAPT: Model use, calibration, and validation, T. ASABE, 55, 1345–1352, https://doi.org/10/f39v9d, 2012.
Gupta, H. V., Kling, H., Yilmaz, K. K., and Martinez, G. F.: Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling, J. Hydrol., 377, 80–91, https://doi.org/10.1016/j.jhydrol.2009.08.003, 2009.
Gupta, H. V., Perrin, C., Blöschl, G., Montanari, A., Kumar, R., Clark, M., and Andréassian, V.: Large-sample hydrology: a need to balance depth with breadth, Hydrol. Earth Syst. Sci., 18, 463–477, https://doi.org/10.5194/hess-18-463-2014, 2014.
Helwig, T. G., Madramootoo, C. A., and Dodds, G. T.: Modelling nitrate losses in drainage water using DRAINMOD 5.0, Agr. Water Manage., 56, 153–168, https://doi.org/10.1016/S0378-3774(02)00005-7, 2002.
Henine, H., Nédélec, Y., and Ribstein, P.: Coupled modelling of the effect of overpressure on water discharge in a tile drainage system, J. Hydrol., 511, 39–48, https://doi.org/10.1016/j.jhydrol.2013.12.016, 2014.
Henine, H., Jeantet, A., Chaumont, C., Chelil, S., Lauvernet, C., and Tournebize, J.: Coupling of a subsurface drainage model with a soil reservoir model to simulate drainage discharge and drain flow start, Agr. Water Manage., in review, 2021.
Henriksen, H. J., Troldborg, L., Nyegaard, P., Sonnenborg, T. O., Refsgaard, J. C., and Madsen, B.: Methodology for construction, calibration and validation of a national hydrological model for Denmark, J. Hydrol., 280, 52–71, https://doi.org/10.1016/S0022-1694(03)00186-0, 2003.
Ibrahim, T. G., Fenton, O., Richards, K. G., Fealy, R. M., and Healy, M. G.: Spatial and temporal variations of nutrient loads in overland flow and subsurface drainage from a marginal land site in South-East Ireland, Biol. Environ., 113B, 169–186, 2013.
Jamagne, M.: Bases et techniques d’une cartographie des sols, Institut National de la Recherche Agronomique, Paris, 139 pp., 1968.
Jamagne, M., Betremieux, R., Begon, J. C., and Mori, A.: Quelques données sur la variabilité dans le milieu naturel de la réserve en eau des sols, Bulletin Technique d'Information, 324–325, 627–641, 1977.
Jannot, P.: Drainage and crop production system on intensive dairy farms in Western France, Agr. Water Manage., 14, 61–68, https://doi.org/10/d3z76b, 1988.
Jarvis, N. and Larsbo, M.: MACRO (v5.2): Model Use, Calibration, and Validation, T. ASABE, 55, 1413–1423, https://doi.org/10.13031/2013.42251, 2012.
Jarvis, N. J. and Leeds-Harrison, P. B.: Modelling water movement in drained clay soil. I. Description of the model, sample output and sensitivity analysis, J. Soil Sci., 38, 487–498, https://doi.org/10.1111/j.1365-2389.1987.tb02284.x, 1987.
Jarvis, N. J., Hollis, J. M., Nicholls, P. H., Mayr, T., and Evans, S. P.: MACRO – DB: a decision-support tool for assessing pesticide fate and mobility in soils, Environ. Modell. Softw., 12, 251–265, https://doi.org/10.1016/S1364-8152(97)00147-3, 1997.
Jiang, Q., Qi, Z., Lu, C., Tan, C. S., Zhang, T., and Prasher, S. O.: Evaluating RZ-SHAW model for simulating surface runoff and subsurface tile drainage under regular and controlled drainage with subirrigation in southern Ontario, Agr. Water Manage., 237, 106179, https://doi.org/10.1016/j.agwat.2020.106179, 2020a.
Jiang, Q., Qi, Z., Xue, L., Bukovsky, M., Madramootoo, C. A., and Smith, W.: Assessing climate change impacts on greenhouse gas emissions, N losses in drainage and crop production in a subsurface drained field, Sci. Total Environ., 705, 135969, https://doi.org/10.1016/j.scitotenv.2019.135969, 2020b.
Jury, W. and Roth, K.: Transfer Functions and Solute Movement Through Soil: Theory and Applications, J. Plant Nutr. Soil Sc., 155, 77–166, 1992.
Kao, C., Nedelec, Y., and Zimmer, D.: Surface runoff mechanisms and modelling in subsurface drained fields, Orlando, USA, 1998.
Kladivko, E. J., Brown, L. C., and Baker, J. L.: Pesticide Transport to Subsurface Tile Drains in Humid Regions of North America, Crit. Rev. Env. Sci. Tec., 31, 1–62, https://doi.org/10.1080/20016491089163, 2001.
Klemeš, V.: Operational testing of hydrological simulation models, Hydrolog. Sci. J., 31, 13–24, https://doi.org/10.1080/02626668609491024, 1986.
Kling, H., Fuchs, M., and Paulin, M.: Runoff conditions in the upper Danube basin under an ensemble of climate change scenarios, J. Hydrol., 424–425, 264–277, https://doi.org/10.1016/j.jhydrol.2012.01.011, 2012.
Knoben, W. J. M., Freer, J. E., and Woods, R. A.: Technical note: Inherent benchmark or not? Comparing Nash–Sutcliffe and Kling–Gupta efficiency scores, Hydrol. Earth Syst. Sci., 23, 4323–4331, https://doi.org/10.5194/hess-23-4323-2019, 2019.
Kobierska, F., Koch, U., Kasteel, R., Stamm, C., and Prasuhn, V.: Plant protection product losses via tile drainage: A conceptual model and mitigation measures, Agrarforsch. Schweiz, 11, 115–123, https://doi.org/10/gmf2xr, 2020.
Köhne, J. M., Köhne, S., and Šimůnek, J.: A review of model applications for structured soils: Water flow and tracer transport, J. Contam. Hydrol., 104, 4–35, https://doi.org/10/fbdvsh, 2009.
Konyha, D. and Skaggs, R. W.: A Coupled, Field Hydrology – Open Channel Flow Model: Theory, T. ASAE, 35, 1431–1440, https://doi.org/10.13031/2013.28750, 1992.
Kosugi, K.: Three-parameter lognormal distribution model for soil water retention, Water Resour. Res., 30, 891–901, https://doi.org/10.1029/93WR02931, 1994.
Kosugi, K.: Lognormal Distribution Model for Unsaturated Soil Hydraulic Properties, Water Resour. Res., 32, 2697–2703, https://doi.org/10.1029/96WR01776, 1996.
Kosugi, K.: General Model for Unsaturated Hydraulic Conductivity for Soils with Lognormal Pore-Size Distribution, Soil Sci. Soc. Am. J., 63, 270–277, https://doi.org/10.2136/sssaj1999.03615995006300020003x, 1999.
Krogh, L. and Greve, M. H.: Evaluation of World Reference Base for Soil Resources and FAO Soil Map of the World using nationwide grid soil data from Denmark, Soil Use Manage., 15, 157–166, https://doi.org/10.1111/j.1475-2743.1999.tb00082.x, 1999.
Kuzmanovski, V., Trajanov, A., Leprince, F., Džeroski, S., and Debeljak, M.: Modeling water outflow from tile-drained agricultural fields, Sci. Total Environ., 505, 390–401, https://doi.org/10.1016/j.scitotenv.2014.10.009, 2015.
Lagacherie, P. and Favrot, J. C.: Synthèse générale sur les études de secteurs de référence drainage, INRA, Paris, France, 1987.
Lange, B., Germann, P. F., and Lüscher, P.: Runoff-generating processes in hydromorphic soils on a plot scale: free gravity-driven versus pressure-controlled flow, Hydrol. Process., 25, 873–885, https://doi.org/10.1002/hyp.7873, 2011.
Larsbo, M., Roulier, S., Stenemo, F., Kasteel, R., and Jarvis, N.: An Improved Dual-Permeability Model of Water Flow and Solute Transport in the Vadose Zone, Vadose Zone J., 4, 398–406, https://doi.org/10/bszhwz, 2005.
Lebrun, J. D., Ayrault, S., Drouet, A., Bordier, L., Fechner, L. C., Uher, E., Chaumont, C., and Tournebize, J.: Ecodynamics and bioavailability of metal contaminants in a constructed wetland within an agricultural drained catchment, Ecol. Eng., 136, 108–117, https://doi.org/10.1016/j.ecoleng.2019.06.012, 2019.
Lesaffre, B.: Fonctionnement hydrologique et hydraulique du drainage souterrain des sols temporairement engorgés: débits de pointe et modèle SIDRA: extension des principes théoriques de Boussinesq et Guyon, PhD thesis, Paris 6, 1989.
Lesaffre, B. and Zimmer, D.: Field evaluation of a subsurface drainage simulation model predicting peak flow, p. 8, Chicago, USA, 1987.
Lévy, G.: Premiers résultats concernant deux expériences d'assainissement du sol sur plantations de résineux, Ann. For. Sci., 29, 427–450, https://doi.org/10.1051/forest/19720402, 1972.
Lewan, E., Kreuger, J., and Jarvis, N.: Implications of precipitation patterns and antecedent soil water content for leaching of pesticides from arable land, Agr. Water Manage., 96, 1633–1640, https://doi.org/10/cx2jb9, 2009.
Li, C. Z., Zhang, L., Wang, H., Zhang, Y. Q., Yu, F. L., and Yan, D. H.: The transferability of hydrological models under nonstationary climatic conditions, Hydrol. Earth Syst. Sci., 16, 1239–1254, https://doi.org/10.5194/hess-16-1239-2012, 2012.
Ma, L., Malone, R. W., Heilman, P., Ahuja, L. R., Meade, T., Saseendran, S. A., Ascough, J. C., and Kanwar, R. S.: Sensitivity of tile drainage flow and crop yield on measured and calibrated soil hydraulic properties, Geoderma, 140, 284–296, https://doi.org/10.1016/j.geoderma.2007.04.012, 2007.
Magesan, G. N., Scotter, D. R., and White, R. E.: A transfer function approach to modeling the leaching of solutes to subsurface drains I, Nonreactive solutes, Soil Res., 32, 69–83, https://doi.org/10/fwf5vw, 1994.
Mathevet, T.: Quels modèles pluie-débit globaux au pas de temps horaire? Développements empiriques et comparaison de modèles sur un large échantillon de bassins versants, Thèse de Doctorat, à l'Ecole Nationale du Génie Rural, des Eaux et Forêts, Paris, France, 2005.
Meyer, N., Bergez, J.-E., Constantin, J., and Justes, E.: Cover crops reduce water drainage in temperate climates: A meta-analysis, Agron. Sustain. Dev., 39, 3, https://doi.org/10.1007/s13593-018-0546-y, 2018.
Michel, C.: Hydrologie Appliquee Aux Petits Bassins Ruraux (Applied Hydrology for Small Catchments), Internal Report, Cemagref, Antony, France, 1991.
Montanari, A., Young, G., Savenije, H. H. G., Hughes, D., Wagener, T., Ren, L. L., Koutsoyiannis, D., Cudennec, C., Toth, E., Grimaldi, S., Blöschl, G., Sivapalan, M., Beven, K., Gupta, H., Hipsey, M., Schaefli, B., Arheimer, B., Boegh, E., Schymanski, S. J., Baldassarre, G. D., Yu, B., Hubert, P., Huang, Y., Schumann, A., Post, D. A., Srinivasan, V., Harman, C., Thompson, S., Rogger, M., Viglione, A., McMillan, H., Characklis, G., Pang, Z., and Belyaev, V.: “Panta Rhei – Everything Flows”: Change in hydrology and society – The IAHS Scientific Decade 2013–2022, Hydrolog. Sci. J., 58, 1256–1275, https://doi.org/10.1080/02626667.2013.809088, 2013.
Moriasi, D., Arnold, J., Van Liew, M., Bingner, R., Harmel, R. D., and Veith, T.: Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations, T. ASABE, 50, 885–900, https://doi.org/10.13031/2013.23153, 2007.
Moriasi, D., Gitau, M., Pai, N., and Daggupati, P.: Hydrologic and Water Quality Models: Performance Measures and Evaluation Criteria, T. ASABE, 58, 1763–1785, https://doi.org/10.13031/trans.58.10715, 2015.
Mulqueen, J.: Depth, spacing and length of mole drains with applications to afforestation, Irish J. Agr. Food Res., 37, 39–49, 1998.
Muma, M., Rousseau, A. N., and Gumiere, S. J.: Modeling of subsurface agricultural drainage using two hydrological models with different conceptual approaches as well as dimensions and spatial scales, Can. Water Resour. J., 42, 38–53, https://doi.org/10.1080/07011784.2016.1231014, 2017.
Nash, J. E. and Sutcliffe, J. V.: River flow forecasting through conceptual models part I – A discussion of principles, J. Hydrol., 10, 282–290, https://doi.org/10.1016/0022-1694(70)90255-6, 1970.
Nijland, H., Croon, F., and Ritzema, H.: Subsurface drainage practices: Guidelines for the implementation, operation and maintenance of subsurface pipe drainage systems, Alterra-ILRI, Wageningen, the Netherlands, 2005.
Pease, L. A., Fausey, N. R., Martin, J. F., and Brown, L. C.: Projected climate change effects on subsurface drainage and the performance of controlled drainage in the Western Lake Erie Basin, J. Soil Water Conserv., 72, 240–250, https://doi.org/10.2489/jswc.72.3.240, 2017.
Perrin, C.: Vers une amélioration d'un modèle global pluie-débit au travers d'une approche comparative, INPG (Grenoble)/Cemagref (Antony), 2000.
Perrin, C., Michel, C., and Andréassian, V.: Improvement of a parsimonious model for streamflow simulation, J. Hydrol., 279, 275–289, https://doi.org/10.1016/S0022-1694(03)00225-7, 2003.
Poncelet, C., Merz, R., Merz, B., Parajka, J., Oudin, L., Andréassian, V., and Perrin, C.: Process-based interpretation of conceptual hydrological model performance using a multinational catchment set, Water Resour. Res., 53, 7247–7268, https://doi.org/10.1002/2016WR019991, 2017.
Refsgaard, J. C.: Parameterisation, calibration and validation of distributed hydrological models, J. Hydrol., 198, 69–97, https://doi.org/10.1016/S0022-1694(96)03329-X, 1997.
Refsgaard, J. C.: Towards a formal approach to calibration and validation of models using spatial data, in: Spatial patterns in catchment hydrology: observations and modelling, Cambridge University Press, Cambridge, 329–354, 2001.
Refsgaard, J. C. and Storm, B.: Construction, Calibration And Validation of Hydrological Models, in Distributed Hydrological Modelling, edited by: Abbott, M. B. and Refsgaard, J. C., 41–54, Springer Netherlands, Dordrecht, https://doi.org/10.1007/978-94-009-0257-2_3, 1996.
Ren, X. W. and Santamarina, J. C.: The hydraulic conductivity of sediments: A pore size perspective, Eng. Geol., 233, 48–54, https://doi.org/10.1016/j.enggeo.2017.11.022, 2018.
Revuelta-Acosta, J. D., Flanagan, D. C., Engel, B. A., and King, K. W.: Improvement of the Water Erosion Prediction Project (WEPP) model for quantifying field scale subsurface drainage discharge, Agr. Water Manage., 244, 106597, https://doi.org/10.1016/j.agwat.2020.106597, 2021.
Richer-de-Forges, A., Feller, C., Jamagne, M., and Arrouays, D.: Perdus dans le triangle des textures, Étude et Gestions des Sols, 15, 97–112, 2008.
Ritter, A. and Muñoz-Carpena, R.: Performance evaluation of hydrological models: Statistical significance for reducing subjectivity in goodness-of-fit assessments, J. Hydrol., 480, 33–45, https://doi.org/10.1016/j.jhydrol.2012.12.004, 2013.
Robinson, M. and Rycroft, D. W.: The Impact of Drainage on Streamflow, in: Agricultural Drainage, 767–800, John Wiley & Sons, Ltd., https://doi.org/10.2134/agronmonogr38.c23, 1999.
Robinson, M., Mulqueen, J., and Burke, W.: On flows from a clay soil – Seasonal changes and the effect of mole drainage, J. Hydrol., 91, 339–350, https://doi.org/10.1016/0022-1694(87)90210-1, 1987.
Rousselot, D. and Peyrieux, J.-C.: Proposition pour une loi de distribution des perméabilités et des transmissivités, Ministère de l'industrie et de la recherche, Lyon, 1977.
Rousseva, S., Kercheva, M., Shishkov, T., Lair, G. J., Nikolaidis, N. P., Moraetis, D., Krám, P., Bernasconi, S. M., Blum, W. E. H., Menon, M., and Banwart, S. A.: Chapter Two – Soil Water Characteristics of European SoilTrEC Critical Zone Observatories, in: Advances in Agronomy, 142, edited by: Banwart, S. A. and Sparks, D. L., 29–72, Academic Press, Cambridge, UK, https://doi.org/10.1016/bs.agron.2016.10.004, 2017.
Sands, G. R., Jin, C.-X., Mendez, A., Basin, B., Wotzka, P., and Gowda, P.: Comparing the subsurface drainage flow prediction of the DRAINMOD and ADAPT models for a cold climate, Transactions of the American Society of Agricultural Engineers, 46, 645–656, 2003.
Santos, L., Thirel, G., and Perrin, C.: Technical note: Pitfalls in using log-transformed flows within the KGE criterion, Hydrol. Earth Syst. Sci., 22, 4583–4591, https://doi.org/10.5194/hess-22-4583-2018, 2018.
Skaggs, R. W.: Methods for Design and Evaluation of Drainage Water Management Systems for Soils with High Water Tables, DRAINMOD, North Carolina State University, Raleigh, 1981.
Skaggs, R. W., Van Schilfgaarde, J., Bartels, J. M., Hatfield, J. L., Volenec, J. J., and Bigham, J. M.: Agricultural drainage, American Society of Agronomy Madison, WI, USA, 1999.
Skaggs, R. W., Youssef, M., and Chescheir, G. M.: DRAINMOD: model use, calibration, and validation, T. ASABE, 55, 1509–1522, https://doi.org/10.13031/2013.42259, 2012.
Snow, V. O., Houlbrooke, D. J., and Huth, N. I.: Predicting soil water, tile drainage, and runoff in a mole-tile drained soil, New Zeal. J. Agr. Res., 50, 13–24, https://doi.org/10.1080/00288230709510278, 2007.
Tallec, G., Ansart, P., Guérin, A., Delaigue, O., and Blanchouin, A.: Observatoire Oracle, https://doi.org/10.17180/OBS.ORACLE, 2015.
Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An Overview of CMIP5 and the Experiment Design, Bull. Am. Meteorol. Soc., 93, 485–498, https://doi.org/10.1175/BAMS-D-11-00094.1, 2011.
Thirel, G., Andréassian, V., Perrin, C., Audouy, J.-N., Berthet, L., Edwards, P., Folton, N., Furusho, C., Kuentz, A., Lerat, J., Lindström, G., Martin, E., Mathevet, T., Merz, R., Parajka, J., Ruelland, D., and Vaze, J.: Hydrology under change: an evaluation protocol to investigate how hydrological models deal with changing catchments, Hydrolog. Sci. J., 60, 1184–1199, https://doi.org/10.1080/02626667.2014.967248, 2015a.
Thirel, G., Andréassian, V., and Perrin, C.: On the need to test hydrological models under changing conditions, Hydrolog. Sci. J., 60, 1165–1173, https://doi.org/10.1080/02626667.2015.1050027, 2015b.
Thompson, J. A., Bell, J. C., and Butler, C. A.: Quantitative Soil-Landscape Modeling for Estimating the Areal Extent of Hydromorphic Soils, Soil Sci. Soc. Am. J., 61, 971–980, https://doi.org/10.2136/sssaj1997.03615995006100030037x, 1997.
Tournebize, J., Gramaglia, C., Birmant, F., Bouarfa, S., Chaumont, C., and Vincent, B.: Co-Design of Constructed Wetlands to Mitigate Pesticide Pollution in a Drained Catch-Basin: A Solution to Improve Groundwater Quality, Irrig. Drain., 61, 75–86, https://doi.org/10.1002/ird.1655, 2012.
Tournebize, J., Chaumont, C., Marcon, A., Molina, S., and Berthault, D.: Guide technique à l'implantation des zones tampons humides artificielles (ZTHA) pour réduire les transferts de nitrates et de pesticides dans les eaux de drainage, Version 3, IRSTEA, Antony, France, 2015.
Tournebize, J., Chaumont, C., and Mander, Ü.: Implications for constructed wetlands to mitigate nitrate and pesticide pollution in agricultural drained watersheds, Ecol. Eng., 103, 415–425, https://doi.org/10.1016/j.ecoleng.2016.02.014, 2017.
Tournebize, J., Henine, H., and Chaumont, C.: Gérer les eaux de drainage agricole: du génie hydraulique au génie écologique, ciences, Eaux et Territoires, 32, 32–41, https://doi.org/10.14758/SET-REVUE.2020.2.06, 2020.
Trajanov, A., Kuzmanovski, V., Real, B., Perreau, J. M., Džeroski, S., and Debeljak, M.: Modeling the risk of water pollution by pesticides from imbalanced data, Environ. Sci. Pollut. R., 25, 18781–18792, https://doi.org/10.1007/s11356-018-2099-7, 2018.
Tukey, J. W.: Exploratory data analysis, Reading, MA, USA, 1977.
Tuohy, P., Humphreys, J., Holden, N. M., and Fenton, O.: Runoff and subsurface drain response from mole and gravel mole drainage across episodic rainfall events, Agr. Water Manage., 169, 129–139, https://doi.org/10.1016/j.agwat.2016.02.020, 2016.
Tuohy, P., O'Loughlin, J., and Fenton, O.: Modeling Performance of a Tile Drainage System Incorporating Mole Drainage, T. ASABE, 61, 169–178, https://doi.org/10.13031/trans.12203, 2018a.
Tuohy, P., O'Loughlin, J., Peyton, D., and Fenton, O.: The performance and behavior of land drainage systems and their impact on field scale hydrology in an increasingly volatile climate, Agr. Water Manage., 210, 96–107, https://doi.org/10.1016/j.agwat.2018.07.033, 2018b.
Vachaud, G., Passerat De Silans, A., Balabanis, P., and Vauclin, M.: Temporal Stability of Spatially Measured Soil Water Probability Density Function 1, Soil Sci. Soc. Am. J., 49, 822–828, https://doi.org/10.2136/sssaj1985.03615995004900040006x, 1985.
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.
Ye, W., Zhang, J., Xu, W., and Zhang, Z.: Numerical investigation on the flow structures of the multi-strut mixing enhancement ejector, Appl. Therm. Eng., 179, 115653, https://doi.org/10.1016/j.applthermaleng.2020.115653, 2020.
Zajíček, A., Fučík, P., Kaplická, M., Liška, M., Maxová, J., and Dobiáš, J.: Pesticide leaching by agricultural drainage in sloping, mid-textured soil conditions – the role of runoff components, Water Sci. Technol., 77, 1879–1890, https://doi.org/10/gdgnt2, 2018.
Zimmer, D.: Effect of deep seepage on drainage functioning and design in shallow soils, 6th international drainage symposium “Drainage and water table control”, Nashville, USA, 13–15 December 1992, 272, 1992.
Zimmer, D.: Lessons gained from the land drainage performance assessment programs in France during the 80's, Workshop on the Evaluation of the Performance of Subsurface Drainage Systems, 16th International congress of ICID, 15–22 September 1996, Cairo, Egypt, 96/0511, 57–69, 1996.
Short summary
The hydrological subsurface drainage model SIDRA-RU is assessed at the French national scale, using a unique database representing the large majority of the French drained areas. The model is evaluated following its capacity to simulate the drainage discharge variability and the annual drained water balance. Eventually, the temporal robustness of SIDRA-RU is assessed to demonstrate the utility of this model as a long-term management tool.
The hydrological subsurface drainage model SIDRA-RU is assessed at the French national scale,...
