Articles | Volume 26, issue 14
https://doi.org/10.5194/hess-26-3753-2022
© Author(s) 2022. 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-26-3753-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Jul 2022
Research article |
| 18 Jul 2022
| 18 Jul 2022
A conceptual-model-based sediment connectivity assessment for patchy agricultural catchments
Pedro V. G. Batista
CORRESPONDING AUTHOR
Department of Environmental Sciences, Universität Basel,
Bernoullistraße 30, 4056 Basel, Switzerland
now at: Institute for Geography, Universität Augsburg, Alter Postweg 118, 86159 Augsburg, Germany
Peter Fiener
Institute for Geography, Universität Augsburg, Alter Postweg 118, 86159 Augsburg, Germany
Simon Scheper
Department of Environmental Sciences, Universität Basel,
Bernoullistraße 30, 4056 Basel, Switzerland
Dr. Simon Scheper – Research – Consulting – Teaching,
Eickhorst 3, 29413 Dähre, Germany
Christine Alewell
Department of Environmental Sciences, Universität Basel,
Bernoullistraße 30, 4056 Basel, Switzerland
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Florian Wilken, Peter Fiener, Michael Ketterer, Katrin Meusburger, Daniel Iragi Muhindo, Kristof van Oost, and Sebastian Doetterl
SOIL, 7, 399–414, https://doi.org/10.5194/soil-7-399-2021, https://doi.org/10.5194/soil-7-399-2021, 2021
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Revised manuscript not accepted
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Claudia Mignani, Jörg Wieder, Michael A. Sprenger, Zamin A. Kanji, Jan Henneberger, Christine Alewell, and Franz Conen
Atmos. Chem. Phys., 21, 657–664, https://doi.org/10.5194/acp-21-657-2021, https://doi.org/10.5194/acp-21-657-2021, 2021
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Lena Wohlgemuth, Stefan Osterwalder, Carl Joseph, Ansgar Kahmen, Günter Hoch, Christine Alewell, and Martin Jiskra
Biogeosciences, 17, 6441–6456, https://doi.org/10.5194/bg-17-6441-2020, https://doi.org/10.5194/bg-17-6441-2020, 2020
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Mercury uptake by trees from the air represents an important but poorly quantified pathway in the global mercury cycle. We determined mercury uptake fluxes by leaves and needles at 10 European forests which were 4 times larger than mercury deposition via rainfall. The amount of mercury taken up by leaves and needles depends on their age and growing height on the tree. Scaling up our measurements to the forest area of Europe, we estimate that each year 20 t of mercury is taken up by trees.
Florian Wilken, Michael Ketterer, Sylvia Koszinski, Michael Sommer, and Peter Fiener
SOIL, 6, 549–564, https://doi.org/10.5194/soil-6-549-2020, https://doi.org/10.5194/soil-6-549-2020, 2020
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Soil redistribution by water and tillage erosion processes on arable land is a major threat to sustainable use of soil resources. We unravel the role of tillage and water erosion from fallout radionuclide (239+240Pu) activities in a ground moraine landscape. Our results show that tillage erosion dominates soil redistribution processes and has a major impact on the hydrological and sedimentological connectivity, which started before the onset of highly mechanised farming since the 1960s.
Miriam Groß-Schmölders, Pascal von Sengbusch, Jan Paul Krüger, Kristy Klein, Axel Birkholz, Jens Leifeld, and Christine Alewell
SOIL, 6, 299–313, https://doi.org/10.5194/soil-6-299-2020, https://doi.org/10.5194/soil-6-299-2020, 2020
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Degradation turns peatlands into a source of CO2. There is no cost- or time-efficient method available for indicating peatland hydrology or the success of restoration. We found that 15N values have a clear link to microbial communities and degradation. We identified trends in natural, drained and rewetted conditions and concluded that 15N depth profiles can act as a reliable and efficient tool for obtaining information on current hydrology, restoration success and drainage history.
Pranav Hirave, Guido L. B. Wiesenberg, Axel Birkholz, and Christine Alewell
Biogeosciences, 17, 2169–2180, https://doi.org/10.5194/bg-17-2169-2020, https://doi.org/10.5194/bg-17-2169-2020, 2020
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Sediment input into water bodies is a prominent threat to freshwater ecosystems. We tested the stability of tracers employed in freshwater sediment tracing based on compound-specific isotope analysis during early degradation in soil. While bulk δ13C values showed no stability, δ13C values of plant-derived fatty acids and n-alkanes were stably transferred to the soil without soil particle size dependency after an early degradation in organic horizons, thus indicating their suitability as tracers.
Peter Fiener, Florian Wilken, and Karl Auerswald
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An 8-year dataset of erosion monitoring (e.g. agricultural management, rainfall, runoff, sediment delivery) is made available. It covers 14 adjoining and partly nested watersheds (sizes 1–14 ha) that were cultivated following integrated (4 crops) and organic farming (7 crops and grassland) practices. Drivers of erosion and runoff were determined and with high spatial and temporal detail. The data set closes the gap between plot research and watershed research.
Marlène Lavrieux, Axel Birkholz, Katrin Meusburger, Guido L. B. Wiesenberg, Adrian Gilli, Christian Stamm, and Christine Alewell
Biogeosciences, 16, 2131–2146, https://doi.org/10.5194/bg-16-2131-2019, https://doi.org/10.5194/bg-16-2131-2019, 2019
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A fingerprinting approach using compound-specific stable isotopes was applied to a lake sediment core to reconstruct erosion processes over the past 150 years in a Swiss catchment. Even though the reconstruction of land use and eutrophication history was successful, the observation of comparatively low δ13C values of plant-derived fatty acids in the sediment suggests their alteration within the lake. Thus, their use as a tool for source attribution in sediment cores needs further investigation.
Claudia Mignani, Jessie M. Creamean, Lukas Zimmermann, Christine Alewell, and Franz Conen
Atmos. Chem. Phys., 19, 877–886, https://doi.org/10.5194/acp-19-877-2019, https://doi.org/10.5194/acp-19-877-2019, 2019
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A snow crystal can be generated from an ice nucleating particle or from an ice splinter. In this study we made use of the fact that snow crystals with a particular shape (dendrites) grow within a narrow temperature range (−12 to −17 °C) and can be analysed individually for the presence of an ice nucleating particle. Our direct approach revealed that only one in eight crystals contained such a particle and was of primary origin. The other crystals must have grown from ice splinters.
Laura Arata, Katrin Meusburger, Alexandra Bürge, Markus Zehringer, Michael E. Ketterer, Lionel Mabit, and Christine Alewell
SOIL, 3, 113–122, https://doi.org/10.5194/soil-3-113-2017, https://doi.org/10.5194/soil-3-113-2017, 2017
Florian Wilken, Michael Sommer, Kristof Van Oost, Oliver Bens, and Peter Fiener
SOIL, 3, 83–94, https://doi.org/10.5194/soil-3-83-2017, https://doi.org/10.5194/soil-3-83-2017, 2017
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Emiliano Stopelli, Franz Conen, Caroline Guilbaud, Jakob Zopfi, Christine Alewell, and Cindy E. Morris
Biogeosciences, 14, 1189–1196, https://doi.org/10.5194/bg-14-1189-2017, https://doi.org/10.5194/bg-14-1189-2017, 2017
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Based on the analysis of precipitation collected at high altitude, this study provides a relevant advancement in the assessment of the major factors responsible for the abundance and variability of airborne bacterial cells and Pseudomonas syringae in relation to ice nucleators. This is of prime importance to obtain a better understanding of the impact of ice-nucleation-active organisms on the development of precipitation and to determine the dispersal potential of airborne microorganisms.
Florian Wilken, Peter Fiener, and Kristof Van Oost
Earth Surf. Dynam., 5, 113–124, https://doi.org/10.5194/esurf-5-113-2017, https://doi.org/10.5194/esurf-5-113-2017, 2017
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This study presents a model that accounts for preferential erosion and transport of sediment and soil organic carbon in agricultural landscapes. We applied the model to a small catchment in Belgium for a period of 100 years. After a thorough model evaluation, these simulations shows that sediment and carbon export are highly episodic and that the temporal variability is largely influenced by selective erosion and deposition.
Simon Schmidt, Christine Alewell, Panos Panagos, and Katrin Meusburger
Hydrol. Earth Syst. Sci., 20, 4359–4373, https://doi.org/10.5194/hess-20-4359-2016, https://doi.org/10.5194/hess-20-4359-2016, 2016
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We present novel research on the seasonal dynamics of the impact of rainfall (R-factor) on the mobilization of topsoil as soil erosion by water for Switzerland. A modeling approach was chosen that enables the dynamical mapping of the R-factor. Based on the maps and modeling results, we could investigate the spatial and temporal distribution of that factor, which is high for Switzerland. With these results, agronomists can introduce selective erosion control measures.
Emiliano Stopelli, Franz Conen, Cindy E. Morris, Erik Herrmann, Stephan Henne, Martin Steinbacher, and Christine Alewell
Atmos. Chem. Phys., 16, 8341–8351, https://doi.org/10.5194/acp-16-8341-2016, https://doi.org/10.5194/acp-16-8341-2016, 2016
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Knowing the variability of ice nucleating particles (INPs) helps determining their role in the formation of precipitation. Here we describe and predict the concentrations of INPs active at −8 °C in precipitation samples collected at Jungfraujoch (CH, 3580 m a.s.l.). A high abundance of these INPs can be expected whenever a coincidence of high wind speed and first precipitation from an air mass occurs. This expands the set of conditions where such INPs could affect the onset of precipitation.
Christine Alewell, Axel Birkholz, Katrin Meusburger, Yael Schindler Wildhaber, and Lionel Mabit
Biogeosciences, 13, 1587–1596, https://doi.org/10.5194/bg-13-1587-2016, https://doi.org/10.5194/bg-13-1587-2016, 2016
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Origin of suspended sediments in rivers is of crucial importance for optimization of catchment management. Sediment source attribution to a lowland river in central Switzerland with compound specific stable isotopes analysis (CSIA) indicated that 65 % of the suspended sediments originated from agricultural land during base flow, while forest was the dominant source during high flow. We achieved significant differences in CSIA signature from land uses dominated by C3 plant cultivation.
S. Osterwalder, J. Fritsche, C. Alewell, M. Schmutz, M. B. Nilsson, G. Jocher, J. Sommar, J. Rinne, and K. Bishop
Atmos. Meas. Tech., 9, 509–524, https://doi.org/10.5194/amt-9-509-2016, https://doi.org/10.5194/amt-9-509-2016, 2016
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Human activities have increased mercury (Hg) cycling between land and atmosphere. To define landscapes as sinks or sources of Hg we have developed an advanced REA system for long-term measurements of gaseous elemental Hg exchange. It was tested in two contrasting environments: above Basel, Switzerland, and a peatland in Sweden. Both landscapes showed net Hg emission (15 and 3 ng m−2 h−1, respectively). The novel system will help to advance our understanding of Hg exchange on an ecosystem scale.
J. P. Krüger, J. Leifeld, S. Glatzel, S. Szidat, and C. Alewell
Biogeosciences, 12, 2861–2871, https://doi.org/10.5194/bg-12-2861-2015, https://doi.org/10.5194/bg-12-2861-2015, 2015
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Biogeochemical soil parameters are studied to detect peatland degradation along a land use gradient (intensive, extensive, near-natural). Stable carbon isotopes, radiocarbon ages and ash content confirm peat growth in the near-natural bog but also indicate previous degradation. When the bog is managed extensively or intensively as grassland, all parameters indicate degradation and substantial C loss of the order of 18.8 to 42.9 kg C m-2.
K. Meusburger, G. Leitinger, L. Mabit, M. H. Mueller, A. Walter, and C. Alewell
Hydrol. Earth Syst. Sci., 18, 3763–3775, https://doi.org/10.5194/hess-18-3763-2014, https://doi.org/10.5194/hess-18-3763-2014, 2014
S. Stanchi, M. Freppaz, E. Ceaglio, M. Maggioni, K. Meusburger, C. Alewell, and E. Zanini
Nat. Hazards Earth Syst. Sci., 14, 1761–1771, https://doi.org/10.5194/nhess-14-1761-2014, https://doi.org/10.5194/nhess-14-1761-2014, 2014
J. P. Krüger, J. Leifeld, and C. Alewell
Biogeosciences, 11, 3369–3380, https://doi.org/10.5194/bg-11-3369-2014, https://doi.org/10.5194/bg-11-3369-2014, 2014
E. Stopelli, F. Conen, L. Zimmermann, C. Alewell, and C. E. Morris
Atmos. Meas. Tech., 7, 129–134, https://doi.org/10.5194/amt-7-129-2014, https://doi.org/10.5194/amt-7-129-2014, 2014
P. Fiener, K. Auerswald, F. Winter, and M. Disse
Hydrol. Earth Syst. Sci., 17, 4121–4132, https://doi.org/10.5194/hess-17-4121-2013, https://doi.org/10.5194/hess-17-4121-2013, 2013
K. Meusburger, L. Mabit, J.-H. Park, T. Sandor, and C. Alewell
Biogeosciences, 10, 5627–5638, https://doi.org/10.5194/bg-10-5627-2013, https://doi.org/10.5194/bg-10-5627-2013, 2013
K. Meusburger, G. Leitinger, L. Mabit, M. H. Mueller, and C. Alewell
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-10-9505-2013, https://doi.org/10.5194/hessd-10-9505-2013, 2013
Preprint withdrawn
M. H. Mueller, R. Weingartner, and C. Alewell
Hydrol. Earth Syst. Sci., 17, 1661–1679, https://doi.org/10.5194/hess-17-1661-2013, https://doi.org/10.5194/hess-17-1661-2013, 2013
Related subject area
Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
A distributed hybrid physics–AI framework for learning corrections of internal hydrological fluxes and enhancing high-resolution regionalized flood modeling
Adaptation of root zone storage capacity to climate change and its effects on future streamflow in Alpine catchments: towards non-stationary model parameters
Finding process-behavioural parameterisations of a hydrological model using a multi-step process-based calibration and evaluation scheme
Merits and limits of SWAT-GL: application in contrasting glaciated catchments
Hydrological regime index for non-perennial rivers
Assessing the adequacy of traditional hydrological models for climate change impact studies: a case for long short-term memory (LSTM) neural networks
Assessing the value of high-resolution data and parameter transferability across temporal scales in hydrological modeling: a case study in northern China
Technical note: How many models do we need to simulate hydrologic processes across large geographical domains?
CONCN: a high-resolution, integrated surface water–groundwater ParFlow modeling platform of continental China
Evaluating the effects of topography and land use change on hydrological signatures: a comparative study of two adjacent watersheds
Technical note: What does the Standardized Streamflow Index actually reflect? Insights and implications for hydrological drought analysis
Long short-term memory networks for enhancing real-time flood forecasts: a case study for an underperforming hydrologic model
Assessing the value of high-resolution rainfall and streamflow data for hydrological modeling: an analysis based on 63 catchments in southeast China
Catchments do not strictly follow Budyko curves over multiple decades, but deviations are minor and predictable
Scale dependency in modeling nivo-glacial hydrological systems: the case of the Arolla basin, Switzerland
Extended-range forecasting of stream water temperature with deep-learning models
Technical note: An approach for handling multiple temporal frequencies with different input dimensions using a single LSTM cell
Enhanced Baseflow Separation in Rural Catchments: Event-Specific Calibration of Recursive Digital Filters with Tracer-Derived Data
Projections of streamflow intermittence under climate change in European drying river networks
Economic valuation of subsurface water contributions to watershed ecosystem services using a fully integrated groundwater–surface-water model
Catchment Attributes and MEteorology for Large-Sample SPATially distributed analysis (CAMELS-SPAT): Streamflow observations, forcing data and geospatial data for hydrologic studies across North America
Analyzing the generalization capabilities of a hybrid hydrological model for extrapolation to extreme events
CH-RUN: a deep-learning-based spatially contiguous runoff reconstruction for Switzerland
Runoff component quantification and future streamflow projection in a large mountainous basin based on a multidata-constrained cryospheric–hydrological model
Exploring the potential processes controlling changes in precipitation–runoff relationships in non-stationary environments
Spatially Resolved Rainfall Streamflow Modeling in Central Europe
A diversity-centric strategy for the selection of spatio-temporal training data for LSTM-based streamflow forecasting
Simulating the Tone River eastward diversion project in Japan carried out 4 centuries ago
Lack of robustness of hydrological models: a large-sample diagnosis and an attempt to identify hydrological and climatic drivers
Achieving water budget closure through physical hydrological process modelling: insights from a large-sample study
Heavy-tailed flood peak distributions: what is the effect of the spatial variability of rainfall and runoff generation?
Combining uncertainty quantification and entropy-inspired concepts into a single objective function for rainfall-runoff model calibration
State updating of the Xin'anjiang model: joint assimilating streamflow and multi-source soil moisture data via the asynchronous ensemble Kalman filter with enhanced error models
Improving the hydrological consistency of a process-based solute-transport model by simultaneous calibration of streamflow and stream concentrations
Understanding the relationship between streamflow forecast skill and value across the western US
Leveraging soil diversity to mitigate hydrological extremes with nature-based solutions in productive catchments
Leveraging a time-series event separation method to disentangle time-varying hydrologic controls on streamflow – application to wildfire-affected catchments
The significance of the leaf area index for evapotranspiration estimation in SWAT-T for characteristic land cover types of West Africa
Improved representation of soil moisture processes through incorporation of cosmic-ray neutron count measurements in a large-scale hydrologic model
Spatio-temporal patterns and trends of streamflow in water-scarce Mediterranean basins
A large-sample modelling approach towards integrating streamflow and evaporation data for the Spanish catchments
Seasonal variation in land cover estimates reveals sensitivities and opportunities for environmental models
Soil moisture and precipitation intensity control the transit time distribution of quick flow in a flashy headwater catchment
Estimating response times, flow velocities, and roughness coefficients of Canadian Prairie basins
Learning landscape features from streamflow with autoencoders
The influence of lateral flow on land surface fluxes in southeast Australia varies with model resolution
Constraining pesticide degradation in conceptual distributed catchment models with compound-specific isotope analysis (CSIA)
On the use of streamflow transformations for hydrological model calibration
Unveiling the Impact of Potential Evapotranspiration Method Selection on Trends in Hydrological Cycle Components Across Europe
Simulation-based inference for parameter estimation of complex watershed simulators
Ngo Nghi Truyen Huynh, Pierre-André Garambois, Benjamin Renard, François Colleoni, Jérôme Monnier, and Hélène Roux
Hydrol. Earth Syst. Sci., 29, 3589–3613, https://doi.org/10.5194/hess-29-3589-2025, https://doi.org/10.5194/hess-29-3589-2025, 2025
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Understanding and modeling flash-flood-prone areas remains challenging due to limited data and scale-relevant hydrological theory. While machine learning shows promise, its integration with process-based models is difficult. We present an approach incorporating machine learning into a high-resolution hydrological model to correct internal fluxes and transfer parameters between watersheds. Results show improved accuracy, advancing the development of learnable and interpretable process-based models.
Magali Ponds, Sarah Hanus, Harry Zekollari, Marie-Claire ten Veldhuis, Gerrit Schoups, Roland Kaitna, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 29, 3545–3568, https://doi.org/10.5194/hess-29-3545-2025, https://doi.org/10.5194/hess-29-3545-2025, 2025
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This research examines how future climate changes impact root zone storage, a key hydrological model parameter. Root zone storage – the soil water accessible to plants – adapts to climate but is often kept constant in models. We estimated climate-adapted storage in six Austrian Alps catchments. While storage increased, streamflow projections showed minimal change, which suggests that dynamic root zone representation is less critical in humid regions but warrants further study in arid areas.
Moritz M. Heuer, Hadysa Mohajerani, and Markus C. Casper
Hydrol. Earth Syst. Sci., 29, 3503–3525, https://doi.org/10.5194/hess-29-3503-2025, https://doi.org/10.5194/hess-29-3503-2025, 2025
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This study presents a process-behavioural calibration approach for water balance models. The different calibration steps aim at calibrating different hydrological processes: evapotranspiration, the runoff partitioning into surface runoff, interflow, and groundwater recharge, as well as the groundwater behaviour. This allows for selection of a model parameterisation that correctly predicts the discharge at the catchment outlet and simultaneously correctly depicts the underlying hydrological processes.
Timo Schaffhauser, Florentin Hofmeister, Gabriele Chiogna, Fabian Merk, Ye Tuo, Julian Machnitzke, Lucas Alcamo, Jingshui Huang, and Markus Disse
Hydrol. Earth Syst. Sci., 29, 3227–3256, https://doi.org/10.5194/hess-29-3227-2025, https://doi.org/10.5194/hess-29-3227-2025, 2025
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The glacier-expanded SWAT (Soil Water Assessment Tool) version, SWAT-GL, was tested in four different catchments, highlighting the capabilities of the glacier routine. It was evaluated based on the representation of glacier mass balance, snow cover and glacier hypsometry. The glacier changes over a long timescale could be adequately represented, leading to promising potential future applications in glaciated and high mountain environments and significantly outperforming standard SWAT models.
Pablo Fernando Dornes and Rocío Noelia Comas
Hydrol. Earth Syst. Sci., 29, 2901–2923, https://doi.org/10.5194/hess-29-2901-2025, https://doi.org/10.5194/hess-29-2901-2025, 2025
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The Desaguadero–Salado–Chadiluevú–Curacó (DSCC) River is a semiarid river which is heavily dammed at its tributaries which collect the snowmelt runoff. This runoff feeds mostly gravitational irrigation systems of very low efficiency. As a result, the DSCC River does not have natural runoff. The proposed hydrological regime index (HRI) is able to discriminate and quantify regime alterations under permanent and non-permanent flow conditions and with low- and high-impoundment conditions.
Jean-Luc Martel, François Brissette, Richard Arsenault, Richard Turcotte, Mariana Castañeda-Gonzalez, William Armstrong, Edouard Mailhot, Jasmine Pelletier-Dumont, Gabriel Rondeau-Genesse, and Louis-Philippe Caron
Hydrol. Earth Syst. Sci., 29, 2811–2836, https://doi.org/10.5194/hess-29-2811-2025, https://doi.org/10.5194/hess-29-2811-2025, 2025
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This study compares long short-term memory (LSTM) neural networks with traditional hydrological models to predict future streamflow under climate change. Using data from 148 catchments, it finds that LSTM models, which learn from extensive data sequences, perform differently and often better than traditional hydrological models. The continental LSTM model, which includes data from diverse climate zones, is particularly effective for understanding climate impacts on water resources.
Mahmut Tudaji, Yi Nan, and Fuqiang Tian
Hydrol. Earth Syst. Sci., 29, 2633–2654, https://doi.org/10.5194/hess-29-2633-2025, https://doi.org/10.5194/hess-29-2633-2025, 2025
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We assessed the value of high-resolution data and parameter transferability across temporal scales based on seven catchments in northern China. We found that higher-resolution data do not always improve model performance, questioning the need for such data. Model parameters are transferable across different data resolutions but not across computational time steps. It is recommended to utilize a smaller computational time step when building hydrological models even without high-resolution data.
Wouter J. M. Knoben, Ashwin Raman, Gaby J. Gründemann, Mukesh Kumar, Alain Pietroniro, Chaopeng Shen, Yalan Song, Cyril Thébault, Katie van Werkhoven, Andrew W. Wood, and Martyn P. Clark
Hydrol. Earth Syst. Sci., 29, 2361–2375, https://doi.org/10.5194/hess-29-2361-2025, https://doi.org/10.5194/hess-29-2361-2025, 2025
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Hydrologic models are needed to provide simulations of water availability, floods, and droughts. The accuracy of these simulations is often quantified with so-called performance scores. A common thought is that different models are more or less applicable to different landscapes, depending on how the model works. We show that performance scores are not helpful in distinguishing between different models and thus cannot easily be used to select an appropriate model for a specific place.
Chen Yang, Zitong Jia, Wenjie Xu, Zhongwang Wei, Xiaolang Zhang, Yiguang Zou, Jeffrey McDonnell, Laura Condon, Yongjiu Dai, and Reed Maxwell
Hydrol. Earth Syst. Sci., 29, 2201–2218, https://doi.org/10.5194/hess-29-2201-2025, https://doi.org/10.5194/hess-29-2201-2025, 2025
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We developed the first high-resolution, integrated surface water–groundwater hydrologic model of the entirety of continental China using ParFlow. The model shows good performance in terms of streamflow and water table depth when compared to global data products and observations. It is essential for water resources management and decision-making in China within a consistent framework in the changing world. It also has significant implications for similar modeling in other places in the world.
Haifan Liu, Haochen Yan, and Mingfu Guan
Hydrol. Earth Syst. Sci., 29, 2109–2132, https://doi.org/10.5194/hess-29-2109-2025, https://doi.org/10.5194/hess-29-2109-2025, 2025
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Land changes and landscape features critically impact water systems. Studying two watersheds in China’s Greater Bay Area, we found slope strongly influences water processes in mountainous areas. However, this relationship is weak in the lower regions of steeper watersheds. Urbanization leads to an increase in annual surface runoff, while flatter watersheds exhibit a buffering capacity against this effect. However, this buffering capacity diminishes with increasing annual rainfall intensity.
Fabián Lema, Pablo A. Mendoza, Nicolás A. Vásquez, Naoki Mizukami, Mauricio Zambrano-Bigiarini, and Ximena Vargas
Hydrol. Earth Syst. Sci., 29, 1981–2002, https://doi.org/10.5194/hess-29-1981-2025, https://doi.org/10.5194/hess-29-1981-2025, 2025
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Hydrological droughts affect ecosystems and socioeconomic activities worldwide. Despite the fact that they are commonly described with the Standardized Streamflow Index (SSI), there is limited understanding of what they truly reflect in terms of water cycle processes. Here, we used state-of-the-art hydrological models in Andean basins to examine drivers of SSI fluctuations. The results highlight the importance of careful selection of indices and timescales for accurate drought characterization and monitoring.
Sebastian Gegenleithner, Manuel Pirker, Clemens Dorfmann, Roman Kern, and Josef Schneider
Hydrol. Earth Syst. Sci., 29, 1939–1962, https://doi.org/10.5194/hess-29-1939-2025, https://doi.org/10.5194/hess-29-1939-2025, 2025
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Accurate early-warning systems are crucial for reducing the damage caused by flooding events. In this study, we explored the potential of long short-term memory networks for enhancing the forecast accuracy of hydrologic models employed in operational flood forecasting. The presented approach elevated the investigated hydrologic model’s forecast accuracy for further ahead predictions and at flood event runoff.
Mahmut Tudaji, Yi Nan, and Fuqiang Tian
Hydrol. Earth Syst. Sci., 29, 1919–1937, https://doi.org/10.5194/hess-29-1919-2025, https://doi.org/10.5194/hess-29-1919-2025, 2025
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Common intuition holds that higher input data resolution leads to better results. To assess the benefits of high-resolution data, we conduct simulation experiments using data with various temporal resolutions across multiple catchments and find that higher-resolution data do not always improve model performance, challenging the necessity of pursuing such data. In catchments with small areas or significant flow variability, high-resolution data is more valuable.
Muhammad Ibrahim, Miriam Coenders-Gerrits, Ruud van der Ent, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 29, 1703–1723, https://doi.org/10.5194/hess-29-1703-2025, https://doi.org/10.5194/hess-29-1703-2025, 2025
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The quantification of precipitation into evaporation and runoff is vital for water resources management. The Budyko framework, based on aridity and evaporative indices of a catchment, can be an ideal tool for that. However, recent research highlights deviations of catchments from the expected evaporative index, casting doubt on its reliability. This study quantifies deviations of 2387 catchments, finding them minor and predictable. Integrating these into predictions upholds the framework's efficacy.
Anne-Laure Argentin, Pascal Horton, Bettina Schaefli, Jamal Shokory, Felix Pitscheider, Leona Repnik, Mattia Gianini, Simone Bizzi, Stuart N. Lane, and Francesco Comiti
Hydrol. Earth Syst. Sci., 29, 1725–1748, https://doi.org/10.5194/hess-29-1725-2025, https://doi.org/10.5194/hess-29-1725-2025, 2025
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In this article, we show that by taking the optimal parameters calibrated with a semi-lumped model for the discharge at a catchment's outlet, we can accurately simulate runoff at various points within the study area, including three nested and three neighboring catchments. In addition, we demonstrate that employing more intricate melt models, which better represent physical processes, enhances the transfer of parameters in the simulation, until we observe overparameterization.
Ryan S. Padrón, Massimiliano Zappa, Luzi Bernhard, and Konrad Bogner
Hydrol. Earth Syst. Sci., 29, 1685–1702, https://doi.org/10.5194/hess-29-1685-2025, https://doi.org/10.5194/hess-29-1685-2025, 2025
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We generate operational forecasts of daily maximum stream water temperature for 32 consecutive days at 54 stations in Switzerland with our best-performing data-driven model. The average forecast error is 0.38 °C for 1 d ahead and increases to 0.90 °C for 32 d ahead given the uncertainty in the meteorological variables influencing water temperature. Here we compare the skill of several models, how well they can forecast at new and ungauged stations, and the importance of different model inputs.
Eduardo Acuña Espinoza, Frederik Kratzert, Daniel Klotz, Martin Gauch, Manuel Álvarez Chaves, Ralf Loritz, and Uwe Ehret
Hydrol. Earth Syst. Sci., 29, 1749–1758, https://doi.org/10.5194/hess-29-1749-2025, https://doi.org/10.5194/hess-29-1749-2025, 2025
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Long short-term memory (LSTM) networks have demonstrated state-of-the-art performance for rainfall-runoff hydrological modelling. However, most studies focus on predictions at a daily scale, limiting the benefits of sub-daily (e.g. hourly) predictions in applications like flood forecasting. In this study, we introduce a new architecture, multi-frequency LSTM (MF-LSTM), designed to use inputs of various temporal frequencies to produce sub-daily (e.g. hourly) predictions at a moderate computational cost.
Fernanda Helfer, Felipe Bernardi, Claudia Alessandra Peixoto de Barros, Daniel Gustavo Allasia, Jean Paolo Gomes Minella, Rutinéia Tassi, and Néverton Scariot
EGUsphere, https://doi.org/10.5194/egusphere-2025-244, https://doi.org/10.5194/egusphere-2025-244, 2025
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We explored how water flows in small rural streams to improve tools for better managing water resources. Using a new method, we adjusted existing models to consider the size of rainfall events, showing that water movement patterns change depending on the rain’s intensity. This approach makes predictions more accurate and helps scientists and managers understand water availability and protect ecosystems.
Louise Mimeau, Annika Künne, Alexandre Devers, Flora Branger, Sven Kralisch, Claire Lauvernet, Jean-Philippe Vidal, Núria Bonada, Zoltán Csabai, Heikki Mykrä, Petr Pařil, Luka Polović, and Thibault Datry
Hydrol. Earth Syst. Sci., 29, 1615–1636, https://doi.org/10.5194/hess-29-1615-2025, https://doi.org/10.5194/hess-29-1615-2025, 2025
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Our study projects how climate change will affect the drying of river segments and stream networks in Europe, using advanced modelling techniques to assess changes in six river networks across diverse ecoregions. We found that drying events will become more frequent and intense and will start earlier or last longer, potentially turning some river sections from perennial to intermittent. The results are valuable for river ecologists for evaluating the ecological health of river ecosystem.
Tariq Aziz, Steven K. Frey, David R. Lapen, Susan Preston, Hazen A. J. Russell, Omar Khader, Andre R. Erler, and Edward A. Sudicky
Hydrol. Earth Syst. Sci., 29, 1549–1568, https://doi.org/10.5194/hess-29-1549-2025, https://doi.org/10.5194/hess-29-1549-2025, 2025
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This study determines the value of subsurface water for ecosystem services' supply in an agricultural watershed in Ontario, Canada. Using a fully integrated water model and an economic valuation approach, the research highlights subsurface water's critical role in maintaining watershed ecosystem services. The study informs on the sustainable use of subsurface water and introduces a new method for managing watershed ecosystem services.
Wouter J. M. Knoben, Kasra Keshavarz, Laura Torres-Rojas, Cyril Thébault, Nathaniel W. Chaney, Alain Pietroniro, and Martyn P. Clark
EGUsphere, https://doi.org/10.5194/egusphere-2025-893, https://doi.org/10.5194/egusphere-2025-893, 2025
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Many existing data sets for hydrologic analysis tend treat catchments as single, spatially homogeneous units, focus on daily data and typically do not support more complex models. This paper introduces a data set that goes beyond this setup by: (1) providing data at higher spatial and temporal resolution, (2) specifically considering the data requirements of all common hydrologic model types, (3) using statistical summaries of the data aimed at quantifying spatial and temporal heterogeneity.
Eduardo Acuña Espinoza, Ralf Loritz, Frederik Kratzert, Daniel Klotz, Martin Gauch, Manuel Álvarez Chaves, and Uwe Ehret
Hydrol. Earth Syst. Sci., 29, 1277–1294, https://doi.org/10.5194/hess-29-1277-2025, https://doi.org/10.5194/hess-29-1277-2025, 2025
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Data-driven techniques have shown the potential to outperform process-based models in rainfall–runoff simulations. Hybrid models, combining both approaches, aim to enhance accuracy and maintain interpretability. Expanding the set of test cases to evaluate hybrid models under different conditions, we test their generalization capabilities for extreme hydrological events.
Basil Kraft, Michael Schirmer, William H. Aeberhard, Massimiliano Zappa, Sonia I. Seneviratne, and Lukas Gudmundsson
Hydrol. Earth Syst. Sci., 29, 1061–1082, https://doi.org/10.5194/hess-29-1061-2025, https://doi.org/10.5194/hess-29-1061-2025, 2025
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This study reconstructs daily runoff in Switzerland (1962–2023) using a deep-learning model, providing a spatially contiguous dataset on a medium-sized catchment grid. The model outperforms traditional hydrological methods, revealing shifts in Swiss water resources, including more frequent dry years and declining summer runoff. The reconstruction is publicly available.
Mengjiao Zhang, Yi Nan, and Fuqiang Tian
Hydrol. Earth Syst. Sci., 29, 1033–1060, https://doi.org/10.5194/hess-29-1033-2025, https://doi.org/10.5194/hess-29-1033-2025, 2025
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Owing to differences in the existing published results, we conducted a detailed analysis of the runoff components and future trends in the Yarlung Tsangpo River basin and found that the contributions of snowmelt and glacier melt runoff to streamflow (both ~5 %) are limited and much lower than previous results. The streamflow in this area will continuously increase in the future, but the overestimated contribution of glacier melt could lead to an underestimation of this increasing trend.
Tian Lan, Tongfang Li, Hongbo Zhang, Jiefeng Wu, Yongqin David Chen, and Chong-Yu Xu
Hydrol. Earth Syst. Sci., 29, 903–924, https://doi.org/10.5194/hess-29-903-2025, https://doi.org/10.5194/hess-29-903-2025, 2025
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This study develops an integrated framework based on the novel Driving index for changes in Precipitation–Runoff Relationships (DPRR) to explore the controlling changes in precipitation–runoff relationships in non-stationary environments. According to the quantitative results of the candidate driving factors, the possible process explanations for changes in the precipitation–runoff relationships are deduced. The main contribution offers a comprehensive understanding of hydrological processes.
Marc Aurel Vischer, Noelia Otero, and Jackie Ma
EGUsphere, https://doi.org/10.5194/egusphere-2024-3649, https://doi.org/10.5194/egusphere-2024-3649, 2025
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We use a neural network to predict the amount of water flowing into rivers. Our focus is on large river catchment areas in central Europe with pronounced human activity. Our model scales efficiently to large amounts of data and is thus able to processes the input without prior aggregation, capturing fine spatial detail and improving prediction in large catchments. Our model’s internal states can be adapted to allow capturing human activity more explicitly in the future.
Everett Snieder and Usman T. Khan
Hydrol. Earth Syst. Sci., 29, 785–798, https://doi.org/10.5194/hess-29-785-2025, https://doi.org/10.5194/hess-29-785-2025, 2025
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Improving the accuracy of flood forecasts is paramount to minimising flood damage. Machine learning (ML) models are increasingly being applied for flood forecasting. Such models are typically trained on large historic hydrometeorological datasets. In this work, we evaluate methods for selecting training datasets that maximise the spatio-temporal diversity of the represented hydrological processes. Empirical results showcase the importance of hydrological diversity in training ML models.
Joško Trošelj and Naota Hanasaki
Hydrol. Earth Syst. Sci., 29, 753–766, https://doi.org/10.5194/hess-29-753-2025, https://doi.org/10.5194/hess-29-753-2025, 2025
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This study presents the first distributed hydrological simulation which confirms claims raised by historians that the eastward diversion project of the Tone River in Japan was conducted 4 centuries ago to increase low flows and subsequent travelling possibilities surrounding the capital, Edo (Tokyo), using inland navigation. We showed that great steps forward can be made for improving quality of life with small human engineering waterworks and small interventions in the regime of natural flows.
Léonard Santos, Vazken Andréassian, Torben O. Sonnenborg, Göran Lindström, Alban de Lavenne, Charles Perrin, Lila Collet, and Guillaume Thirel
Hydrol. Earth Syst. Sci., 29, 683–700, https://doi.org/10.5194/hess-29-683-2025, https://doi.org/10.5194/hess-29-683-2025, 2025
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This work investigates how hydrological models are transferred to a period in which climate conditions are different to the ones of the period in which they were set up. The robustness assessment test built to detect dependencies between model error and climatic drivers was applied to three hydrological models in 352 catchments in Denmark, France and Sweden. Potential issues are seen in a significant number of catchments for the models, even though the catchments differ for each model.
Xudong Zheng, Dengfeng Liu, Shengzhi Huang, Hao Wang, and Xianmeng Meng
Hydrol. Earth Syst. Sci., 29, 627–653, https://doi.org/10.5194/hess-29-627-2025, https://doi.org/10.5194/hess-29-627-2025, 2025
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Water budget non-closure is a widespread phenomenon among multisource datasets which undermines the robustness of hydrological inferences. This study proposes a Multisource Dataset Correction Framework grounded in Physical Hydrological Process Modelling to enhance water budget closure, termed PHPM-MDCF. We examined the efficiency and robustness of the framework using the CAMELS dataset and achieved an average reduction of 49 % in total water budget residuals across 475 CONUS basins.
Elena Macdonald, Bruno Merz, Viet Dung Nguyen, and Sergiy Vorogushyn
Hydrol. Earth Syst. Sci., 29, 447–463, https://doi.org/10.5194/hess-29-447-2025, https://doi.org/10.5194/hess-29-447-2025, 2025
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Flood peak distributions indicate how likely the occurrence of an extreme flood is at a certain river. If the distribution has a so-called heavy tail, extreme floods are more likely than might be anticipated. We find heavier tails in small catchments compared to large catchments, and spatially variable rainfall leads to a lower occurrence probability of extreme floods. Spatially variable runoff does not show effects. The results can improve estimations of probabilities of extreme floods.
Alonso Pizarro, Demetris Koutsoyiannis, and Alberto Montanari
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-389, https://doi.org/10.5194/hess-2024-389, 2025
Revised manuscript accepted for HESS
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We introduce RUMI, a new metric to improve rainfall-runoff simulations. RUMI better captures the link between observed and simulated stream flows by considering uncertainty at a core computation step. Tested on 99 catchments and with the GR4J model, it outperforms traditional metrics by providing more reliable and consistent results. RUMI paves the way for more accurate hydrological predictions.
Junfu Gong, Xingwen Liu, Cheng Yao, Zhijia Li, Albrecht H. Weerts, Qiaoling Li, Satish Bastola, Yingchun Huang, and Junzeng Xu
Hydrol. Earth Syst. Sci., 29, 335–360, https://doi.org/10.5194/hess-29-335-2025, https://doi.org/10.5194/hess-29-335-2025, 2025
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Our study introduces a new method to improve flood forecasting by combining soil moisture and streamflow data using an advanced data assimilation technique. By integrating field and reanalysis soil moisture data and assimilating this with streamflow measurements, we aim to enhance the accuracy of flood predictions. This approach reduces the accumulation of past errors in the initial conditions at the start of the forecast, helping to better prepare for and respond to floods.
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.
Parthkumar A. Modi, Jared C. Carbone, Keith S. Jennings, Hannah Kamen, Joseph R. Kasprzyk, Bill Szafranski, Cameron W. Wobus, and Ben Livneh
EGUsphere, https://doi.org/10.5194/egusphere-2024-4046, https://doi.org/10.5194/egusphere-2024-4046, 2025
Short summary
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This study shows that in unmanaged snow-dominated basins, high forecast accuracy doesn’t always lead to high economic value, especially during extreme conditions like droughts. It highlights how irregular errors in modern forecasting systems weaken the connection between accuracy and value. These findings call for forecast evaluations to focus not only on accuracy but also on economic impacts, providing valuable guidance for better water resource management under uncertainty.
Benjamin Guillaume, Adrien Michez, and Aurore Degré
EGUsphere, https://doi.org/10.5194/egusphere-2024-3978, https://doi.org/10.5194/egusphere-2024-3978, 2025
Short summary
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Nature-based solutions (NbS) can mitigate floods and agricultural droughts by enhancing soil health and restoring hydrological cycles. This study highlights that leveraging soil diversity is key to optimizing NbS performance.
Haley A. Canham, Belize Lane, Colin B. Phillips, and Brendan P. Murphy
Hydrol. Earth Syst. Sci., 29, 27–43, https://doi.org/10.5194/hess-29-27-2025, https://doi.org/10.5194/hess-29-27-2025, 2025
Short summary
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The influence of watershed disturbances has proved challenging to disentangle from natural streamflow variability. This study evaluates the influence of time-varying hydrologic controls on rainfall–runoff in undisturbed and wildfire-disturbed watersheds using a novel time-series event separation method. Across watersheds, water year type and season influenced rainfall–runoff patterns. Accounting for these controls enabled clearer isolation of wildfire effects.
Fabian Merk, Timo Schaffhauser, Faizan Anwar, Ye Tuo, Jean-Martial Cohard, and Markus Disse
Hydrol. Earth Syst. Sci., 28, 5511–5539, https://doi.org/10.5194/hess-28-5511-2024, https://doi.org/10.5194/hess-28-5511-2024, 2024
Short summary
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Evapotranspiration (ET) is computed from the vegetation (plant transpiration) and soil (soil evaporation). In western Africa, plant transpiration correlates with vegetation growth. Vegetation is often represented using the leaf area index (LAI). In this study, we evaluate the importance of the LAI for ET calculation. We take a close look at this interaction and highlight its relevance. Our work contributes to the understanding of terrestrial water cycle processes .
Eshrat Fatima, Rohini Kumar, Sabine Attinger, Maren Kaluza, Oldrich Rakovec, Corinna Rebmann, Rafael Rosolem, Sascha E. Oswald, Luis Samaniego, Steffen Zacharias, and Martin Schrön
Hydrol. Earth Syst. Sci., 28, 5419–5441, https://doi.org/10.5194/hess-28-5419-2024, https://doi.org/10.5194/hess-28-5419-2024, 2024
Short summary
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This study establishes a framework to incorporate cosmic-ray neutron measurements into the mesoscale Hydrological Model (mHM). We evaluate different approaches to estimate neutron counts within the mHM using the Desilets equation, with uniformly and non-uniformly weighted average soil moisture, and the physically based code COSMIC. The data improved not only soil moisture simulations but also the parameterisation of evapotranspiration in the model.
Laia Estrada, Xavier Garcia, Joan Saló-Grau, Rafael Marcé, Antoni Munné, and Vicenç Acuña
Hydrol. Earth Syst. Sci., 28, 5353–5373, https://doi.org/10.5194/hess-28-5353-2024, https://doi.org/10.5194/hess-28-5353-2024, 2024
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Hydrological modelling is a powerful tool to support decision-making. We assessed spatio-temporal patterns and trends of streamflow for 2001–2022 with a hydrological model, integrating stakeholder expert knowledge on management operations. The results provide insight into how climate change and anthropogenic pressures affect water resources availability in regions vulnerable to water scarcity, thus raising the need for sustainable management practices and integrated hydrological modelling.
Patricio Yeste, Matilde García-Valdecasas Ojeda, Sonia R. Gámiz-Fortis, Yolanda Castro-Díez, Axel Bronstert, and María Jesús Esteban-Parra
Hydrol. Earth Syst. Sci., 28, 5331–5352, https://doi.org/10.5194/hess-28-5331-2024, https://doi.org/10.5194/hess-28-5331-2024, 2024
Short summary
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Integrating streamflow and evaporation data can help improve the physical realism of hydrologic models. We investigate the capabilities of the Variable Infiltration Capacity (VIC) to reproduce both hydrologic variables for 189 headwater located in Spain. Results from sensitivity analyses indicate that adding two vegetation parameters is enough to improve the representation of evaporation and that the performance of VIC exceeded that of the largest modelling effort currently available in Spain.
Daniel T. Myers, David Jones, Diana Oviedo-Vargas, John Paul Schmit, Darren L. Ficklin, and Xuesong Zhang
Hydrol. Earth Syst. Sci., 28, 5295–5310, https://doi.org/10.5194/hess-28-5295-2024, https://doi.org/10.5194/hess-28-5295-2024, 2024
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We studied how streamflow and water quality models respond to land cover data collected by satellites during the growing season versus the non-growing season. The land cover data showed more trees during the growing season and more built areas during the non-growing season. We next found that the use of non-growing season data resulted in a higher modeled nutrient export to streams. Knowledge of these sensitivities would be particularly important when models inform water resource management.
Hatice Türk, Christine Stumpp, Markus Hrachowitz, Karsten Schulz, Peter Strauss, Günter Blöschl, and Michael Stockinger
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-359, https://doi.org/10.5194/hess-2024-359, 2024
Revised manuscript accepted for HESS
Short summary
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Using advances in transit time estimation and tracer data, we tested if fast-flow transit times are controlled solely by soil moisture or are also controlled by precipitation intensity. We used soil moisture-dependent and precipitation intensity-conditional transfer functions. We showed that significant portion of event water bypasses the soil matrix through fast flow paths (overland flow, tile drains, preferential flow paths) in dry soil conditions for both low and high-intensity precipitation.
Kevin R. Shook, Paul H. Whitfield, Christopher Spence, and John W. Pomeroy
Hydrol. Earth Syst. Sci., 28, 5173–5192, https://doi.org/10.5194/hess-28-5173-2024, https://doi.org/10.5194/hess-28-5173-2024, 2024
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Recent studies suggest that the velocities of water running off landscapes in the Canadian Prairies may be much smaller than generally assumed. Analyses of historical flows for 23 basins in central Alberta show that many of the rivers responded more slowly and that the flows are much slower than would be estimated from equations developed elsewhere. The effects of slow flow velocities on the development of hydrological models of the region are discussed, as are the possible causes.
Alberto Bassi, Marvin Höge, Antonietta Mira, Fabrizio Fenicia, and Carlo Albert
Hydrol. Earth Syst. Sci., 28, 4971–4988, https://doi.org/10.5194/hess-28-4971-2024, https://doi.org/10.5194/hess-28-4971-2024, 2024
Short summary
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The goal is to remove the impact of meteorological drivers in order to uncover the unique landscape fingerprints of a catchment from streamflow data. Our results reveal an optimal two-feature summary for most catchments, with a third feature associated with aridity and intermittent flow that is needed for challenging cases. Baseflow index, aridity, and soil or vegetation attributes strongly correlate with learnt features, indicating their importance for streamflow prediction.
Anjana Devanand, Jason Evans, Andy Pitman, Sujan Pal, David Gochis, and Kevin Sampson
EGUsphere, https://doi.org/10.5194/egusphere-2024-3148, https://doi.org/10.5194/egusphere-2024-3148, 2024
Short summary
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Including lateral flow increases evapotranspiration near major river channels in high-resolution land surface simulations in southeast Australia, consistent with observations. The 1-km resolution model shows a widespread pattern of dry ridges that does not exist at coarser resolutions. Our results have implications for improved simulations of droughts and future water availability.
Sylvain Payraudeau, Pablo Alvarez-Zaldivar, Paul van Dijk, and Gwenaël Imfeld
EGUsphere, https://doi.org/10.5194/egusphere-2024-2840, https://doi.org/10.5194/egusphere-2024-2840, 2024
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Our study focuses on the rising concern of pesticides damaging aquatic ecosystems, which puts drinking water, the environment, and human health at risk. We provided more accurate estimates of how pesticides break down and spread in small water systems, helping to improve pesticide management practices. By using unique chemical markers in our analysis, we enhanced the accuracy of our predictions, offering important insights for better protection of water sources and natural ecosystems.
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
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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.
Vishal Thakur, Yannis Markonis, Rohini Kumar, Johanna Ruth Thomson, Mijael Rodrigo Vargas Godoy, Martin Hanel, and Oldrich Rakovec
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-341, https://doi.org/10.5194/hess-2024-341, 2024
Revised manuscript accepted for HESS
Short summary
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Understanding the changes in water movement in earth is crucial for everyone. To quantify this water movement there are several techniques. We examined how different methods of estimating evaporation impact predictions of various types of water movement across Europe. We found that, while these methods generally agree on whether changes are increasing or decreasing, they differ in magnitude. This means selecting the right evaporation method is crucial for accurate predictions of water movement.
Robert Hull, Elena Leonarduzzi, Luis De La Fuente, Hoang Viet Tran, Andrew Bennett, Peter Melchior, Reed M. Maxwell, and Laura E. Condon
Hydrol. Earth Syst. Sci., 28, 4685–4713, https://doi.org/10.5194/hess-28-4685-2024, https://doi.org/10.5194/hess-28-4685-2024, 2024
Short summary
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Large-scale hydrologic simulators are a needed tool to explore complex watershed processes and how they may evolve with a changing climate. However, calibrating them can be difficult because they are costly to run and have many unknown parameters. We implement a state-of-the-art approach to model calibration using neural networks with a set of experiments based on streamflow in the upper Colorado River basin.
Cited articles
Alder, S., Prasuhn, V., Liniger, H., Herweg, K., Hurni, H., Candinas, A., and
Gujer, H. U.: A high-resolution map of direct and indirect connectivity of
erosion risk areas to surface waters in Switzerland-A risk assessment tool
for planning and policy-making, Land Use Policy, 48, 236–249,
https://doi.org/10.1016/j.landusepol.2015.06.001, 2015.
Antoniadis, A., Lambert-Lacroix, S., and Poggi, J. M.: Random forests for
global sensitivity analysis: A selective review, Reliab. Eng. Syst. Safe., 206, 107312, https://doi.org/10.1016/j.ress.2020.107312, 2021.
Baartman, J. E. M., Nunes, J. P., Masselink, R., Darboux, F., Bielders, C.,
Degré, A., Cantreul, V., Cerdan, O., Grangeon, T., Fiener, P., Wilken,
F., Schindewolf, M., and Wainwright, J.: What do models tell us about water
and sediment connectivity?, Geomorphology, 367, 107300,
https://doi.org/10.1016/j.geomorph.2020.107300, 2020.
BAFU: Faktenblatt: Der Greifensee, Zustand bezüglich Wasserqualität,
1–8, http://www.bafu.admin.ch (last access” 14 February 2021), 2016.
Bakker, M. M., Govers, G., van Doorn, A., Quetier, F., Chouvardas, D., and
Rounsevell, M.: The response of soil erosion and sediment export to land-use
change in four areas of Europe: The importance of landscape pattern,
Geomorphology, 98, 213–226, https://doi.org/10.1016/j.geomorph.2006.12.027, 2008.
Batista, P. V. G., Fiener, P., Scheper, S., and Alewell, C.: Data and code for: A conceptual model-based sediment connectivity assessment for patchy agricultural catchments, Zenodo [data set], https://doi.org/10.5281/zenodo.6560226, 2022.
Batista, P. V. G., Laceby, J. P., Davies, J., Carvalho, T. S., Tassinari, D., Silva, M. L. N., Curi, N., and Quinton, J. N.: A framework for testing large-scale distributed soil erosion and sediment delivery models: Dealing
with uncertainty in models and the observational data, Environ. Model. Softw., 137, 104961, https://doi.org/10.1016/j.envsoft.2021.104961, 2021.
Bauer, M., Dostal, T., Krasa, J., Jachymova, B., David, V., Devaty, J., Strouhal, L., and Rosendorf, P.: Risk to residents, infrastructure, and water
bodies from flash floods and sediment transport, Environ. Monit. Assess., 191, 1–19, https://doi.org/10.1007/s10661-019-7216-7, 2019.
Benaud, P., Anderson, K., Evans, M., Farrow, L., Glendell, M., James, M. R.,
Quine, T. A., Quinton, J. N., Rickson, R. J., and Brazier, R. E.:
Reproducibility, open science and progression in soil erosion research. A
reply to “Response to `National-scale geodata describe widespread
accelerated soil erosion' Benaud et al. (2020) Geoderma 271, 114378” by
Evans and Boardman (2021), Geoderma, 402, 115181, https://doi.org/10.1016/j.geoderma.2021.115181, 2021.
Bircher, P., Liniger, H., and Prasuhn, V.: Aktualisierung und Optimierung der
Erosionsrisikokarte (ERK2) Die neue ERK2 (2019) für das Ackerland
der Schweiz, https://www.blw.admin.ch/dam/blw/de/dokumente/Nachhaltige Produktion/Umwelt/Boden/Bericht zur Erosionsrisikokarte.pdf.download.pdf/Erosionsrisikokarte 2019.pdf (last access: 20 January 2021), 2019.
Bispo, D. F. A., Batista, P. V. G., Guimarães, D. V., Silva, M. L. N.,
Curi, N., and Quinton, J. N.: Monitoring land use impacts on sediment
production: a case study of the pilot catchment from the Brazilian program
of payment for environmental services, Rev. Bras. Ciência do Solo, 44,
e0190167, https://doi.org/10.36783/18069657rbcs20190167, 2020.
Boardman, J.: A 38-year record of muddy flooding at Breaky Bottom: Learning
from a detailed case study, Catena, 189, 104493, https://doi.org/10.1016/j.catena.2020.104493, 2020.
Borrelli, P., Meusburger, K., Ballabio, C., Panagos, P., and Alewell, C.: Object-oriented soil erosion modelling: A possible paradigm shift from potential to actual risk assessments in agricultural environments, Land. Degrad. Dev., 29, 1270–1281, https://doi.org/10.1002/ldr.2898, 2018.
Borselli, L., Cassi, P., and Torri, D.: Prolegomena to sediment and flow
connectivity in the landscape: A GIS and field numerical assessment, Catena,
75, 268–277, https://doi.org/10.1016/j.catena.2008.07.006, 2008.
Breiman, L.: Random forests, Mach. Learn., 45, 5–32, 2001.
Brenning, A., Bangs, D., and Becker, M.: RSAGA: SAGA geoprocessing and terrain analysis, R package version 1.3.0, https://cran.r-project.org/web/packages/RSAGA/index.html (last access: 20 January 2021), 2018.
Calsamiglia, A., García-Comendador, J., Fortesa, J., López-Tarazón, J. A., Crema, S., Cavalli, M., Calvo-Cases, A., and
Estrany, J.: Effects of agricultural drainage systems on sediment
connectivity in a small Mediterranean lowland catchment, Geomorphology, 318,
162–171, https://doi.org/10.1016/j.geomorph.2018.06.011, 2018a.
Calsamiglia, A., Fortesa, J., García-Comendador, J., Lucas-Borja, M.
E., Calvo-Cases, A., and Estrany, J.: Spatial patterns of sediment connectivity in terraced lands: Anthropogenic controls of catchment
sensitivity, Land. Degrad. Dev., 29, 1198–1210, https://doi.org/10.1002/ldr.2840, 2018b.
Cavalli, M., Trevisani, S., Comiti, F., and Marchi, L.: Geomorphometric
assessment of spatial sediment connectivity in small Alpine catchments,
Geomorphology, 188, 31–41, https://doi.org/10.1016/j.geomorph.2012.05.007, 2013.
Chartin, C., Evrard, O., Salvador-Blanes, S., Hinschberger, F., Van Oost,
K., Lefèvre, I., Daroussin, J., and Macaire, J. J.: Quantifying and
modelling the impact of land consolidation and field borders on soil redistribution in agricultural landscapes (1954–2009), Catena, 110, 184–195, https://doi.org/10.1016/j.catena.2013.06.006, 2013.
Cohn, T. A., Caulder, D. L., Gilroy, J., Zynjuk, L. D., and Summers, R. M.:
The Validity of a Simple Statistical Model for Estimating, Water Resour. Res., 28, 2353–2363, 1992.
Conrad, O., Bechtel, B., Bock, M., Dietrich, H., Fischer, E., Gerlitz, L., Wehberg, J., Wichmann, V., and Böhner, J.: System for Automated Geoscientific Analyses (SAGA) v. 2.1.4, Geosci. Model Dev., 8, 1991–2007, https://doi.org/10.5194/gmd-8-1991-2015, 2015.
Croke, J., Mockler, S., Fogarty, P., and Takken, I.: Sediment concentration
changes in runoff pathways from a forest road network and the resultant
spatial pattern of catchment connectivity, Geomorphology, 68, 257–268, https://doi.org/10.1016/j.geomorph.2004.11.020, 2005.
Desmet, P. and Govers, G.: A GIS procedure for automatically calculating the
USLE LS factor on topographically complex landscape units, J. Soil Water
Conserv., 51, 427–433, 1996.
Eekhout, J. P. C., Millares-Valenzuela, A., Martínez-Salvador, A.,
García-Lorenzo, R., Pérez-Cutillas, P., Conesa-García, C., and
de Vente, J.: A process-based soil erosion model ensemble to assess model
uncertainty in climate-change impact assessments, Land. Degrad. Dev., 32,
2409–2422, https://doi.org/10.1002/ldr.3920, 2021.
Evrard, O., Cerdan, O., van Wesemael, B., Chauvet, M., Le Bissonnais, Y.,
Raclot, D., Vandaele, K., Andrieux, P., and Bielders, C.: Reliability of an
expert-based runoff and erosion model: Application of STREAM to different
environments, Catena, 78, 129–141, https://doi.org/10.1016/j.catena.2009.03.009, 2009.
Fiener, P. and Auerswald, K.: Measurement and modeling of concentrated runoff in grassed waterways, J. Hydrol., 301, 198–215, https://doi.org/10.1016/j.jhydrol.2004.06.030, 2005.
Fiener, P., Auerswald, K., and Van Oost, K.: Spatio-temporal patterns in land
use and management affecting surface runoff response of agricultural catchments – A review, Earth-Sci. Rev., 106, 92–104,
https://doi.org/10.1016/j.earscirev.2011.01.004, 2011.
Fiener, P., Wilken, F., and Auerswald, K.: Filling the gap between plot and landscape scale – eight years of soil erosion monitoring in 14 adjacent watersheds under soil conservation at Scheyern, Southern Germany, Adv. Geosci., 48, 31–48, https://doi.org/10.5194/adgeo-48-31-2019, 2019.
Fryirs, K.: (Dis)Connectivity in catchment sediment cascades: A fresh look
at the sediment delivery problem, Earth Surf. Proc. Land., 38, 30–46, https://doi.org/10.1002/esp.3242, 2013.
Gelman, A. and Hill, J.: Data Analysis Using Regression and Multilevel/Hierarchical Models, R package version 1.12.2, Cambridge Univeristy Press, New York, ISBN 9780511268786, 2007.
Govers, G.: Misapplications and misconceptions of erosion models, in:
Handbook of erosion modelling, edited by: Morgan, R. P. C. and Nearing, M. A., Blackwell Publishing Ltd., Chichester, UK, 117–134, ISBN 9781405190107, 2011.
Heckmann, T., Cavalli, M., Cerdan, O., Foerster, S., Javaux, M., Lode, E.,
Smetanová, A., Vericat, D., and Brardinoni, F.: Indices of sediment
connectivity: opportunities, challenges and limitations, Earth-Sci. Rev., 187, 77–108, https://doi.org/10.1016/j.earscirev.2018.08.004, 2018.
IUSS Working Group WRB: World Reference Base for Soil Resources, IUSS
Working Group WRB, Wageningen, the Netherlands, 1–128, https://www.fao.org/3/i3794en/I3794en.pdf (last access: 14 February 2021), 2006.
Keller, B.: Lake Lucerne and its spectacular landscape, in: Landscapes and
landforms of Switzerland, edited by: Reynard, E., Springer Nature, Cham, Switzerland, 305–324, ISBN 9783030432034, 2021.
Krasa, J., Dostal, T., Jachymova, B., Bauer, M., and Devaty, J.: Soil erosion
as a source of sediment and phosphorus in rivers and reservoirs – Watershed
analyses using WaTEM/SEDEM, Environ. Res., 171, 470–483,
https://doi.org/10.1016/j.envres.2019.01.044, 2019.
Kupferschmied, P.: CP-Tool: Ein Programm zur Berechnung des Fruchtfolge- und
Bewirtschaftungsfaktors (CP-Faktor) der Allgemeinen Bodenabtragsgleichung (ABAG), https://www.agroscope.admin.ch/dam/agroscope/de/dokumente (last access: 14 February 2021), 2019.
Laceby, J. P., Batista, P. V. G., Taube, N., Kruk, M. K., Chung, C., Evrard,
O., and Orwin, J. F.: Tracing total and dissolved material in a western
Canadian basin using quality control samples to guide the selection of
fingerprinting parameters for modelling, Catena, 200, 105095,
https://doi.org/10.1016/j.catena.2020.105095, 2021.
Lacoste, M., Michot, D., Viaud, V., Evrard, O., and Walter, C.: Combining 137Cs measurements and a spatially distributed erosion model to
assess soil redistribution in a hedgerow landscape in northwestern France
(1960–2010), Catena, 119, 78–89, https://doi.org/10.1016/j.catena.2014.03.004, 2014.
Lavrieux, M., Birkholz, A., Meusburger, K., Wiesenberg, G. L. B., Gilli, A.,
Stamm, C., and Alewell, C.: Plants or bacteria? 130 years of mixed imprints
in Lake Baldegg sediments (Switzerland), as revealed by compound-specific
isotope analysis (CSIA) and biomarker analysis, Biogeosciences, 16,
2131–2146, https://doi.org/10.5194/bg-16-2131-2019, 2019.
Ledermann, T., Herweg, K., Liniger, H. P., Schneider, F., Hurni, H., and
Prasuhn, V.: Applying erosion damage mapping to assess and quantify off-site
effects of soil erosion in Switzerland, Land. Degrad. Dev., 21, 353–366, 2010.
Liaw, A. and Wiener, M.: Classification and regression by randomForest, R package version 4.7.1, R News, 2, 18–22, 2002.
Mahoney, D. T., Fox, J. F., and Al-Aamery, N.: Watershed erosion modeling
using the probability of sediment connectivity in a gently rolling system,
J. Hydrol., 561, 862–883, https://doi.org/10.1016/j.jhydrol.2018.04.034, 2018.
Mahoney, D. T., Fox, J., Al-Aamery, N., and Clare, E.: Integrating
connectivity theory within watershed modelling part I: Model formulation and
investigating the timing of sediment connectivity, Sci. Total Environ., 740,
140385, https://doi.org/10.1016/j.scitotenv.2020.140385, 2020a.
Mahoney, D. T., Fox, J., Al-Aamery, N., and Clare, E.: Integrating connectivity theory within watershed modelling part II: Application and
evaluating structural and functional connectivity, Sci. Total Environ., 740,
140386, https://doi.org/10.1016/j.scitotenv.2020.140386, 2020b.
MeteoSwiss: SwissMetNet Surface Weather Stations, Mosen MOA, 2010–2019,
Switzerland, https://www.meteoswiss.admin.ch/home/measurement-values.html?param=messnetz-automatisch&station=MOA&chart=hour (last access: 13 July 2022), 2021.
Moriasi, D. N., Gitau, M. W., 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.
Müller, B., Gächter, R., and Wüest, A.: Accelerated water quality
improvement during oligotrophication in peri-alpine lakes, Environ. Sci.
Technol., 48, 6671–6677, https://doi.org/10.1021/es4040304, 2014.
Notebaert, B., Vaes, B., Govers, G., Van Oost, K., Van Rompaey, A., and
Verstraeten, G.: WaTEM/SEDEM version 2006 Manual, https://ees.kuleuven.be/eng/geography/modelling/watemsedem2006/manual_watemsedem_122011.pdf
(last access: 1 March 2021), 2006.
Nunes, J. P., Wainwright, J., Bielders, C. L., Darboux, F., Fiener, P.,
Finger, D., and Turnbull, L.: Better models are more effectively connected
models, Earth Surf. Proc. Land., 43(, 1355–1360, https://doi.org/10.1002/esp.4323, 2018.
Owens, P. N.: Soil erosion and sediment dynamics in the Anthropocene: a
review of human impacts during a period of rapid global environmental change, J. Soils Sediments, 20, 4115–4143, https://doi.org/10.1007/s11368-020-02815-9, 2020.
Parsons, A. J., Wainwright, J., Brazier, R. E., and Powell, D. M.: Is
sediment delivery a fallacy? Reply, Earth Surf. Proc. Land., 34, 155–161, https://doi.org/10.1002/esp.1395, 2009.
Persichillo, M. G., Bordoni, M., Cavalli, M., Crema, S., and Meisina, C.: The
role of human activities on sediment connectivity of shallow landslides,
Catena, 160, 261–274, https://doi.org/10.1016/j.catena.2017.09.025, 2018.
Pfiffner, O. A.: The structural landscapes of Central Switzerland, in:
Landscapes and landforms of Switzerland, edited by: Reynard, E., Springer
Nature Switzerland, Cham, Switzerland, 159–172, ISBN 9783030432034, 2021.
Pianosi, F., Beven, K., Freer, J., Hall, J. W., Rougier, J., Stephenson, D.
B., and Wagener, T.: Sensitivity analysis of environmental models: A
systematic review with practical workflow, Environ. Model. Softw., 79,
214–232, https://doi.org/10.1016/j.envsoft.2016.02.008, 2016.
Prasuhn, V.: Twenty years of soil erosion on-farm measurement: annual
variation, spatial distribution and the impact of conservation programmes
for soil loss rates in Switzerland, Earth Surf. Proc. Land., 45, 1539–1554, https://doi.org/10.1002/esp.4829, 2020.
R Core Team: R: A language for statistical computing, R Foundation for
Statistical Computing, Vienna, Austria, https://www.R-project.org (last access: 13 July 2022), 2021.
Remund, D., Liebisch, F., Liniger, H. P., Heinimann, A., and Prasuhn, V.: The
origin of sediment and particulate phosphorus inputs into water bodies in the Swiss Midlands – A twenty-year field study of soil erosion, Catena, 203, 105290, https://doi.org/10.1016/j.catena.2021.105290, 2021.
Renard, K., Foster, G. R., Weesies, G. A., McCool, D. K., and Yoder, D. C.: Predicting Soil Erosion by Water: A Guide to Conservation Planning With the Revised Universal Soil Loss Equation (RUSLE), U.S: Government Printing Office, Washington, ISBN 9780160489389, 1997.
Saggau, P., Kuhwald, M., and Duttmann, R.: Integrating soil compaction impacts of tramlines into soil erosion modelling: A field-scale approach, Soil Syst., 3, 1–28, https://doi.org/10.3390/soilsystems3030051, 2019.
Schmidt, S., Alewell, C., Panagos, P., and Meusburger, K.: Regionalization of
monthly rainfall erosivity patternsin Switzerland, Hydrol. Earth Syst. Sci.,
20, 4359–4373, https://doi.org/10.5194/hess-20-4359-2016, 2016.
Schmidt, S., Ballabio, C., Alewell, C., Panagos, P., and Meusburger, K.:
Filling the European blank spot – Swiss soil erodibility assessment with
topsoil samples, J. Plant Nutr. Soil Sci., 181, 737–748,
https://doi.org/10.1002/jpln.201800128, 2018a.
Schmidt, S., Alewell, C., and Meusburger, K.: Mapping spatio-temporal
dynamics of the cover and management factor (C-factor) for grasslands in
Switzerland, Remote Sens. Environ., 211, 89–104,
https://doi.org/10.1016/j.rse.2018.04.008, 2018b.
Schönenberger, U. and Stamm, C.: Hydraulic shortcuts increase the
connectivity of arable land areas to surface waters, Hydrol. Earth Syst. Sci., 25, 1727–1746, https://doi.org/10.5194/hess-25-1727-2021, 2021.
Schürz, C., Mehdi, B., Kiesel, J., Schulz, K., and Herrnegger, M.: A
systematic assessment of uncertainties in large-scale soil loss estimation
from different representations of USLE input factors – a case study for Kenya and Uganda, Hydrol. Earth Syst. Sci., 24, 4463–4489,
https://doi.org/10.5194/hess-24-4463-2020, 2020.
Sherriff, S. C., Rowan, J. S., Fenton, O., Jordan, P., Melland, A. R.,
Mellander, P. E., and Huallacháin, D.: Storm Event Suspended Sediment-Discharge Hysteresis and Controls in Agricultural Watersheds:
Implications for Watershed Scale Sediment Management, Environ. Sci. Technol., 50, 1769–1778, https://doi.org/10.1021/acs.est.5b04573, 2016.
Starkloff, T. and Stolte, J.: Applied comparison of the erosion risk models
EROSION 3D and LISEM for a small catchment in Norway, Catena, 118, 154–167,
https://doi.org/10.1016/j.catena.2014.02.004, 2014.
Stenfert Kroese, J., Batista, P. V. G., Jacobs, S. R., Breuer, L., Quinton,
J. N., and Rufino, M. C.: Agricultural land is the main source of stream
sediments after conversion of an African montane forest, Sci. Rep., 10, 1–15, https://doi.org/10.1038/s41598-020-71924-9, 2020.
Stoll, S., von Arb, C., Jorg, C., Kopp, S., and Prasuhn, V.: Evaluation der
stark zur Phosphor-Belastung des Baldeggersees beitragenden Flächen,
https://www.agroscope.admin.ch/agroscope/fr/home/a-propos/collaborateurs/_jcr_content/par/externalcontent (last access: 14 February 2021), 2019.
Swisstopo: SwissALTI3D, Das hoch aufgelöste Terrainmodell der Schweiz,
https://www.swisstopo.admin.ch/de/geodata/height/alti3d.html
(last access: 26 November 2020), 2014a.
Swisstopo: Swissimage, Das digitale Farborthophotomosaik der Schweiz, https://www.swisstopo.admin.ch/de/geodata/images/ortho/swissimage10.html
(last access: 26 November 2020), 2014b.
Swisstopo: Swiss Map Vector 25 Beta, Das digitale Landschaftsmodell der
Schweiz, https://www.swisstopo.admin.ch/de/geodata/maps/smv/smv25.html
(last access: 26 November 2020), 2018.
Swisstopo: SwissTLM3D, Das grossmassstäbliche Topografische
Landschaftsmodell der Schweiz, https://www.swisstopo.admin.ch/de/geodata/landscape/tlm3d.html
(last access: 26 November 2020), 2020.
Teranes, J. L. and Bernasconi, S. M.: Factors controlling δ13C
values of sedimentary carbon in hypertrophic Baldeggersee, Switzerland, and
implications for interpreting isotope excursions in lake sedimentary records, Limnol. Oceanogr., 50, 914–922, https://doi.org/10.4319/lo.2005.50.3.0914, 2005.
Turnbull, L. and Wainwright, J.: From structure to function: Understanding
shrub encroachment in drylands using hydrological and sediment connectivity,
Ecol. Indic., 98, 608–618, https://doi.org/10.1016/j.ecolind.2018.11.039, 2019.
Van Oost, K., Govers, G., and Desmet, P. J. J.: Evaluating the effects of
changes in landscape structure on soil erosion by water and tillage, Landsc.
Ecol., 15, 577–589, https://doi.org/10.1023/A:1008198215674, 2000.
Van Rompaey, A., Verstraeten, G., Van Oost, K., Govers, G., and Poesen, J.:
Modelling mean annual sediment yield using a distributed approach, Earth Surf. Proc. Land., 26, 1221–1236, https://doi.org/10.1002/esp.275, 2001.
Verstraeten, G., Van Oost, K., Van Rompaey, A. J. J., Poesen, J., and Govers,
G.: Evaluating an integrated approach to catchment management to reduce soil
loss and sediment pollution through modelling, Soil Use Manage., 18, 386–394, https://doi.org/10.1111/j.1475-2743.2002.tb00257.x, 2010.
Vigiak, O. and Bende-Michl, U.: Estimating bootstrap and Bayesian prediction
intervals for constituent load rating curves, Water Resour. Res., 49, 8565–8578, https://doi.org/10.1002/2013WR013559, 2013.
von Arb, C., Stoll, S., Frossard, E., Stamm, C., and Prasuhn, V.: The time it
takes to reduce soil legacy phosphorus to a tolerable level for surface waters: What we learn from a case study in the catchment of Lake Baldegg,
Switzerland, Geoderma, 403, 115257, https://doi.org/10.1016/j.geoderma.2021.115257, 2021.
Wainwright, J., Turnbull, L., Ibrahim, T. G., Lexartza-Artza, I., Thornton,
S. F., and Brazier, R. E.: Linking environmental regimes, space and time:
Interpretations of structural and functional connectivity, Geomorphology,
126, 387–404, https://doi.org/10.1016/j.geomorph.2010.07.027, 2011.
Wehrli, B., Lotter, A. F., Schaller, T., and Sturm, M.: High-resolution varve
studies in Baldeggersee (Switzerland): Project overview and limnological
background data, Aquat. Sci., 59, 285–294, https://doi.org/10.1007/BF02522359, 1997.
Wilken, F., Fiener, P., and Van Oost, K.: Modelling a century of soil
redistribution processes and carbon delivery from small watersheds using a
multi-class sediment transport model, Earth Surf. Dynam., 5, 113–124,
https://doi.org/10.5194/esurf-5-113-2017, 2017.
Short summary
Patchy agricultural landscapes have a large number of small fields, which are separated by linear features such as roads and field borders. When eroded sediments are transported out of the agricultural fields by surface runoff, these features can influence sediment connectivity. By use of measured data and a simulation model, we demonstrate how a dense road network (and its drainage system) facilitates sediment transport from fields to water courses in a patchy Swiss agricultural catchment.
Patchy agricultural landscapes have a large number of small fields, which are separated by...
