Articles | Volume 25, issue 5
https://doi.org/10.5194/hess-25-2491-2021
© 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-25-2491-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 May 2021
Research article |
| 18 May 2021
| 18 May 2021
Spatio-temporal controls of C–N–P dynamics across headwater catchments of a temperate agricultural region from public data analysis
Stella Guillemot
UMR SAS, INRAE, Institut Agro, 35000 Rennes, France
Université de Tours, EA 6293 GéHCO, 37200 Tours, France
UMR SAS, INRAE, Institut Agro, 35000 Rennes, France
Chantal Gascuel-Odoux
UMR SAS, INRAE, Institut Agro, 35000 Rennes, France
Gérard Gruau
OSUR, Geosciences Rennes, CNRS, Université Rennes 1, 35000 Rennes, France
Antoine Casquin
UMR SAS, INRAE, Institut Agro, 35000 Rennes, France
Florence Curie
Université de Tours, EA 6293 GéHCO, 37200 Tours, France
Camille Minaudo
EPFL, Physics of Aquatic Systems Laboratory, 1015 Lausanne,
Switzerland
Laurent Strohmenger
UMR SAS, INRAE, Institut Agro, 35000 Rennes, France
Florentina Moatar
INRAE, RIVERLY, 69625 Villeurbanne, France
Université de Tours, EA 6293 GéHCO, 37200 Tours, France
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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
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This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
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The Explore2 project has provided an unprecedented set of hydrological projections in terms of the number of hydrological models used and the spatial and temporal resolution. The results have been made available through various media. Under the high-emission scenario, the hydrological models mostly agree on the decrease in seasonal flows in the south of France, confirming its hotspot status, and on the decrease in summer flows throughout France, with the exception of the northern part of France.
Yves Tramblay, Guillaume Thirel, Laurent Strohmenger, Guillaume Evin, Lola Corre, Louis Heraut, and Eric Sauquet
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How climate change impacts floods in France? Using simulations for 3000 rivers in climate projections, results show that flood trends vary depending on the region. In the north, floods may become more severe, but in many other areas, the trends are mixed. Floods from intense rainfall are becoming more frequent, while snowmelt floods are strongly decreasing. Overall, the study shows that understanding what causes floods is key to predicting how they are likely to change with the climate.
An Truong Nguyen, Gwenaël Abril, Jacob S. Diamond, Raphaël Lamouroux, Cécile Martinet, and Florentina Moatar
EGUsphere, https://doi.org/10.5194/egusphere-2025-1478, https://doi.org/10.5194/egusphere-2025-1478, 2025
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This 32-year study of France’s Loire River shows cleaner water reduced carbon dioxide emissions by 62 %, despite increased contributions from aquatic plant activity. Seasonal emissions were higher in autumn than spring, while long-term declines were driven by reduced external carbon inputs from groundwater and soils. Results highlight how ecosystem changes influence rivers' role in global carbon cycles and climate management.
Jordy Salmon-Monviola, Ophélie Fovet, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 29, 127–158, https://doi.org/10.5194/hess-29-127-2025, https://doi.org/10.5194/hess-29-127-2025, 2025
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To increase the predictive power of hydrological models, it is necessary to improve their consistency, i.e. their physical realism, which is measured by the ability of the model to reproduce observed system dynamics. Using a model to represent the dynamics of water and nitrate and dissolved organic carbon concentrations in an agricultural catchment, we showed that using solute-concentration data for calibration is useful to improve the hydrological consistency of the model.
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
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Giulia Bruno, Laurent Strohmenger, and Doris Duethmann
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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
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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.
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Baibaswata Bhaduri, Ophelie Fovet, Sekhar Muddu, and Laurent Ruiz
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-112, https://doi.org/10.5194/hess-2023-112, 2023
Publication in HESS not foreseen
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Lumped conceptual groundwater transit time models are widely used for their computational simplicity. But their parameters being empirical, these models are often criticized for their calibration reliance. This study mathematically links lumped conceptual parameters to measurable hydrodynamic properties of a groundwater catchment. This kind of direct parameterization gives lumped models a forward modelling potential, and also improves the choice of parameter constraints in calibration exercises.
Artur Safin, Damien Bouffard, Firat Ozdemir, Cintia L. Ramón, James Runnalls, Fotis Georgatos, Camille Minaudo, and Jonas Šukys
Geosci. Model Dev., 15, 7715–7730, https://doi.org/10.5194/gmd-15-7715-2022, https://doi.org/10.5194/gmd-15-7715-2022, 2022
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Reconciling the differences between numerical model predictions and observational data is always a challenge. In this paper, we investigate the viability of a novel approach to the calibration of a three-dimensional hydrodynamic model of Lake Geneva, where the target parameters are inferred in terms of distributions. We employ a filtering technique that generates physically consistent model trajectories and implement a neural network to enable bulk-to-skin temperature conversion.
Aurélien Beaufort, Jacob S. Diamond, Eric Sauquet, and Florentina Moatar
Hydrol. Earth Syst. Sci., 26, 3477–3495, https://doi.org/10.5194/hess-26-3477-2022, https://doi.org/10.5194/hess-26-3477-2022, 2022
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We developed one of the largest stream temperature databases to calculate a simple, ecologically relevant metric – the thermal peak – that captures the magnitude of summer thermal extremes. Using statistical models, we extrapolated the thermal peak to nearly every stream in France, finding the hottest thermal peaks along large rivers without forested riparian zones and groundwater inputs. Air temperature was a poor proxy for the thermal peak, highlighting the need to grow monitoring networks.
Hanieh Seyedhashemi, Jean-Philippe Vidal, Jacob S. Diamond, Dominique Thiéry, Céline Monteil, Frédéric Hendrickx, Anthony Maire, and Florentina Moatar
Hydrol. Earth Syst. Sci., 26, 2583–2603, https://doi.org/10.5194/hess-26-2583-2022, https://doi.org/10.5194/hess-26-2583-2022, 2022
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Stream temperature appears to be increasing globally, but its rate remains poorly constrained due to a paucity of long-term data. Using a thermal model, this study provides a large-scale understanding of the evolution of stream temperature over a long period (1963–2019). This research highlights that air temperature and streamflow can exert joint influence on stream temperature trends, and riparian shading in small mountainous streams may mitigate warming in stream temperatures.
Nataline Simon, Olivier Bour, Mikaël Faucheux, Nicolas Lavenant, Hugo Le Lay, Ophélie Fovet, Zahra Thomas, and Laurent Longuevergne
Hydrol. Earth Syst. Sci., 26, 1459–1479, https://doi.org/10.5194/hess-26-1459-2022, https://doi.org/10.5194/hess-26-1459-2022, 2022
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Groundwater discharge into streams plays a major role in the preservation of stream ecosystems. There were two complementary methods, both based on the use of the distributed temperature sensing technology, applied in a headwater catchment. Measurements allowed us to characterize the spatial and temporal patterns of groundwater discharge and quantify groundwater inflows into the stream, opening very promising perspectives for a novel characterization of the groundwater–stream interface.
Danlu Guo, Camille Minaudo, Anna Lintern, Ulrike Bende-Michl, Shuci Liu, Kefeng Zhang, and Clément Duvert
Hydrol. Earth Syst. Sci., 26, 1–16, https://doi.org/10.5194/hess-26-1-2022, https://doi.org/10.5194/hess-26-1-2022, 2022
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We investigate the impact of baseflow contribution on concentration–flow (C–Q) relationships across the Australian continent. We developed a novel Bayesian hierarchical model for six water quality variables across 157 catchments that span five climate zones. For sediments and nutrients, the C–Q slope is generally steeper for catchments with a higher median and a greater variability of baseflow contribution, highlighting the key role of variable flow pathways in particulate and solute export.
Justine Louis, Anniet M. Laverman, Emilie Jardé, Alexandrine Pannard, Marine Liotaud, Françoise Andrieux-Loyer, Gérard Gruau, Florian Caradec, Emilie Rabiller, Nathalie Lebris, and Laurent Jeanneau
Biogeosciences Discuss., https://doi.org/10.5194/bg-2021-318, https://doi.org/10.5194/bg-2021-318, 2021
Preprint withdrawn
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This work has described the variability in sedimentary organic matter composition through a broad sampling campaign of marine mudflats at the regional scale (Brittany Region), and made the link with sediment potential biodegradability and nutrient release. In these coastal ecosystems affected by the eutrophication, the potential impact of human activities on the nutrient dynamics at the sediment-water interface was highlighted.
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Short summary
This study investigates the drivers of spatial variations in stream water quality in poorly studied headwater catchments and includes multiple elements involved in major water quality issues, such as eutrophication. We used a regional public dataset of monthly stream water concentrations monitored for 10 years over 185 agricultural catchments. We found a spatial and seasonal opposition between carbon and nitrogen concentrations, while phosphorus concentrations showed another spatial pattern.
This study investigates the drivers of spatial variations in stream water quality in poorly...
