Articles | Volume 22, issue 7
https://doi.org/10.5194/hess-22-3903-2018
© Author(s) 2018. 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-22-3903-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Jul 2018
Research article |
| 19 Jul 2018
| 19 Jul 2018
Contributions of catchment and in-stream processes to suspended sediment transport in a dominantly groundwater-fed catchment
Yan Liu
Center for Applied Geoscience, University of Tübingen,
72074 Tübingen, Germany
Christiane Zarfl
Center for Applied Geoscience, University of Tübingen,
72074 Tübingen, Germany
Nandita B. Basu
Department of Civil and Environmental Engineering, University of
Waterloo, Waterloo, ON N2L 3G1, Canada
Marc Schwientek
Center for Applied Geoscience, University of Tübingen,
72074 Tübingen, Germany
Olaf A. Cirpka
CORRESPONDING AUTHOR
Center for Applied Geoscience, University of Tübingen,
72074 Tübingen, Germany
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Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
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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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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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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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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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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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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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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.
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.
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.
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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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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.
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.
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
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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
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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
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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
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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.
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
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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.
Pablo Fernando Dornes and Rocío Noelia Comas
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-338, https://doi.org/10.5194/hess-2024-338, 2024
Revised manuscript accepted for HESS
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The Desaguadero-Salado-Chadiluevú-Curacó (DSCC) River is a semiarid river which is severely dammed in 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.
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
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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.
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
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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.
Jari-Pekka Nousu, Kersti Leppä, Hannu Marttila, Pertti Ala-aho, Giulia Mazzotti, Terhikki Manninen, Mika Korkiakoski, Mika Aurela, Annalea Lohila, and Samuli Launiainen
Hydrol. Earth Syst. Sci., 28, 4643–4666, https://doi.org/10.5194/hess-28-4643-2024, https://doi.org/10.5194/hess-28-4643-2024, 2024
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We used hydrological models, field measurements, and satellite-based data to study the soil moisture dynamics in a subarctic catchment. The role of groundwater was studied with different ways to model the groundwater dynamics and via comparisons to the observational data. The choice of groundwater model was shown to have a strong impact, and representation of lateral flow was important to capture wet soil conditions. Our results provide insights for ecohydrological studies in boreal regions.
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. Discuss., https://doi.org/10.5194/hess-2024-292, https://doi.org/10.5194/hess-2024-292, 2024
Revised manuscript accepted for HESS
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We developed the first high-resolution, integrated surface water-groundwater hydrologic model of the entire continental China using ParFlow. The model shows good performance 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.
Nienke Tempel, Laurène Bouaziz, Riccardo Taormina, Ellis van Noppen, Jasper Stam, Eric Sprokkereef, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 28, 4577–4597, https://doi.org/10.5194/hess-28-4577-2024, https://doi.org/10.5194/hess-28-4577-2024, 2024
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This study explores the impact of climatic variability on root zone water storage capacities and, thus, on hydrological predictions. Analysing data from 286 areas in Europe and the US, we found that, despite some variations in root zone storage capacity due to changing climatic conditions over multiple decades, these changes are generally minor and have a limited effect on water storage and river flow predictions.
Mahmut Tudaji, Yi Nan, and Fuqiang Tian
EGUsphere, https://doi.org/10.5194/egusphere-2024-2966, https://doi.org/10.5194/egusphere-2024-2966, 2024
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We assessed the value of high-resolution data and parameters transferability across temporal scales based on 7 catchments in northern China. We found that higher resolution data does 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 smaller computational time step when building hydrological models even without high-resolution data.
Bu Li, Ting Sun, Fuqiang Tian, Mahmut Tudaji, Li Qin, and Guangheng Ni
Hydrol. Earth Syst. Sci., 28, 4521–4538, https://doi.org/10.5194/hess-28-4521-2024, https://doi.org/10.5194/hess-28-4521-2024, 2024
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This paper developed hybrid semi-distributed hydrological models by employing a process-based model as the backbone and utilizing deep learning to parameterize and replace internal modules. The main contribution is to provide a high-performance tool enriched with explicit hydrological knowledge for hydrological prediction and to improve understanding about the hydrological sensitivities to climate change in large alpine basins.
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. Discuss., https://doi.org/10.5194/hess-2024-279, https://doi.org/10.5194/hess-2024-279, 2024
Revised manuscript accepted for HESS
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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.
Dan Elhanati, Nadine Goeppert, and Brian Berkowitz
Hydrol. Earth Syst. Sci., 28, 4239–4249, https://doi.org/10.5194/hess-28-4239-2024, https://doi.org/10.5194/hess-28-4239-2024, 2024
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A continuous time random walk framework was developed to allow modeling of a karst aquifer discharge response to measured rainfall. The application of the numerical model yielded robust fits between modeled and measured discharge values, especially for the distinctive long tails found during recession times. The findings shed light on the interplay of slow and fast flow in the karst system and establish the application of the model for simulating flow and transport in such systems.
Frederik Kratzert, Martin Gauch, Daniel Klotz, and Grey Nearing
Hydrol. Earth Syst. Sci., 28, 4187–4201, https://doi.org/10.5194/hess-28-4187-2024, https://doi.org/10.5194/hess-28-4187-2024, 2024
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Recently, a special type of neural-network architecture became increasingly popular in hydrology literature. However, in most applications, this model was applied as a one-to-one replacement for hydrology models without adapting or rethinking the experimental setup. In this opinion paper, we show how this is almost always a bad decision and how using these kinds of models requires the use of large-sample hydrology data sets.
Franziska Clerc-Schwarzenbach, Giovanni Selleri, Mattia Neri, Elena Toth, Ilja van Meerveld, and Jan Seibert
Hydrol. Earth Syst. Sci., 28, 4219–4237, https://doi.org/10.5194/hess-28-4219-2024, https://doi.org/10.5194/hess-28-4219-2024, 2024
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We show that the differences between the forcing data included in three CAMELS datasets (US, BR, GB) and the forcing data included for the same catchments in the Caravan dataset affect model calibration considerably. The model performance dropped when the data from the Caravan dataset were used instead of the original data. Most of the model performance drop could be attributed to the differences in precipitation data. However, differences were largest for the potential evapotranspiration data.
Ying Zhao, Mehdi Rahmati, Harry Vereecken, and Dani Or
Hydrol. Earth Syst. Sci., 28, 4059–4063, https://doi.org/10.5194/hess-28-4059-2024, https://doi.org/10.5194/hess-28-4059-2024, 2024
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Gao et al. (2023) question the importance of soil in hydrology, sparking debate. We acknowledge some valid points but critique their broad, unsubstantiated views on soil's role. Our response highlights three key areas: (1) the false divide between ecosystem-centric and soil-centric approaches, (2) the vital yet varied impact of soil properties, and (3) the call for a scale-aware framework. We aim to unify these perspectives, enhancing hydrology's comprehensive understanding.
Siyuan Wang, Markus Hrachowitz, and Gerrit Schoups
Hydrol. Earth Syst. Sci., 28, 4011–4033, https://doi.org/10.5194/hess-28-4011-2024, https://doi.org/10.5194/hess-28-4011-2024, 2024
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Root zone storage capacity (Sumax) changes significantly over multiple decades, reflecting vegetation adaptation to climatic variability. However, this temporal evolution of Sumax cannot explain long-term fluctuations in the partitioning of water fluxes as expressed by deviations ΔIE from the parametric Budyko curve over time with different climatic conditions, and it does not have any significant effects on shorter-term hydrological response characteristics of the upper Neckar catchment.
Zehua Chang, Hongkai Gao, Leilei Yong, Kang Wang, Rensheng Chen, Chuntan Han, Otgonbayar Demberel, Batsuren Dorjsuren, Shugui Hou, and Zheng Duan
Hydrol. Earth Syst. Sci., 28, 3897–3917, https://doi.org/10.5194/hess-28-3897-2024, https://doi.org/10.5194/hess-28-3897-2024, 2024
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An integrated cryospheric–hydrologic model, FLEX-Cryo, was developed that considers glaciers, snow cover, and frozen soil and their dynamic impacts on hydrology. We utilized it to simulate future changes in cryosphere and hydrology in the Hulu catchment. Our projections showed the two glaciers will melt completely around 2050, snow cover will reduce, and permafrost will degrade. For hydrology, runoff will decrease after the glacier has melted, and permafrost degradation will increase baseflow.
Henry M. Zimba, Miriam Coenders-Gerrits, Kawawa E. Banda, Petra Hulsman, Nick van de Giesen, Imasiku A. Nyambe, and Hubert H. G. Savenije
Hydrol. Earth Syst. Sci., 28, 3633–3663, https://doi.org/10.5194/hess-28-3633-2024, https://doi.org/10.5194/hess-28-3633-2024, 2024
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The fall and flushing of new leaves in the miombo woodlands co-occur in the dry season before the commencement of seasonal rainfall. The miombo species are also said to have access to soil moisture in deep soils, including groundwater in the dry season. Satellite-based evaporation estimates, temporal trends, and magnitudes differ the most in the dry season, most likely due to inadequate understanding and representation of the highlighted miombo species attributes in simulations.
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
EGUsphere, https://doi.org/10.5194/egusphere-2024-2133, https://doi.org/10.5194/egusphere-2024-2133, 2024
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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 hydrolgical models. The continental LSTM model, which includes data from diverse climate zones, is particularly effective for understanding climate impacts on water resources.
Louise Akemi Kuana, Arlan Scortegagna Almeida, Emílio Graciliano Ferreira Mercuri, and Steffen Manfred Noe
Hydrol. Earth Syst. Sci., 28, 3367–3390, https://doi.org/10.5194/hess-28-3367-2024, https://doi.org/10.5194/hess-28-3367-2024, 2024
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The authors compared regionalization methods for river flow prediction in 126 catchments from the south of Brazil, a region with humid subtropical and hot temperate climate. The regionalization method based on physiographic–climatic similarity had the best performance for predicting daily and Q95 reference flow. We showed that basins without flow monitoring can have a good approximation of streamflow using machine learning and physiographic–climatic information as inputs.
Huy Dang and Yadu Pokhrel
Hydrol. Earth Syst. Sci., 28, 3347–3365, https://doi.org/10.5194/hess-28-3347-2024, https://doi.org/10.5194/hess-28-3347-2024, 2024
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By examining basin-wide simulations of a river regime over 83 years with and without dams, we present evidence that climate variation was a key driver of hydrologic variabilities in the Mekong River basin (MRB) over the long term; however, dams have largely altered the seasonality of the Mekong’s flow regime and annual flooding patterns in major downstream areas in recent years. These findings could help us rethink the planning of future dams and water resource management in the MRB.
Yongshin Lee, Francesca Pianosi, Andres Peñuela, and Miguel Angel Rico-Ramirez
Hydrol. Earth Syst. Sci., 28, 3261–3279, https://doi.org/10.5194/hess-28-3261-2024, https://doi.org/10.5194/hess-28-3261-2024, 2024
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Following recent advancements in weather prediction technology, we explored how seasonal weather forecasts (1 or more months ahead) could benefit practical water management in South Korea. Our findings highlight that using seasonal weather forecasts for predicting flow patterns 1 to 3 months ahead is effective, especially during dry years. This suggest that seasonal weather forecasts can be helpful in improving the management of water resources.
Mariam Khanam, Giulia Sofia, and Emmanouil N. Anagnostou
Hydrol. Earth Syst. Sci., 28, 3161–3190, https://doi.org/10.5194/hess-28-3161-2024, https://doi.org/10.5194/hess-28-3161-2024, 2024
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Flooding worsens due to climate change, with river dynamics being a key in local flood control. Predicting post-storm geomorphic changes is challenging. Using self-organizing maps and machine learning, this study forecasts post-storm alterations in stage–discharge relationships across 3101 US stream gages. The provided framework can aid in updating hazard assessments by identifying rivers prone to change, integrating channel adjustments into flood hazard assessment.
Yalan Song, Wouter J. M. Knoben, Martyn P. Clark, Dapeng Feng, Kathryn Lawson, Kamlesh Sawadekar, and Chaopeng Shen
Hydrol. Earth Syst. Sci., 28, 3051–3077, https://doi.org/10.5194/hess-28-3051-2024, https://doi.org/10.5194/hess-28-3051-2024, 2024
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Differentiable models (DMs) integrate neural networks and physical equations for accuracy, interpretability, and knowledge discovery. We developed an adjoint-based DM for ordinary differential equations (ODEs) for hydrological modeling, reducing distorted fluxes and physical parameters from errors in models that use explicit and operation-splitting schemes. With a better numerical scheme and improved structure, the adjoint-based DM matches or surpasses long short-term memory (LSTM) performance.
Cited articles
Amalfitano, S., Corno, G., Eckert, E., Fazi, S., Ninio, S., Callieri, C.,
Grossart, H.-P., and Eckert, W.: Tracing particulate matter and associated
microorganisms in freshwaters, Hydrobiologia, 800, 145–154, https://doi.org/10.1007/s10750-017-3260-x, 2017.
Bicknell, B. R., Imhoff, J. C., Kittle Jr., J. L., Jobes, T. H., and Donigian
Jr., A. S.: HYDROLOGICAL SIMULATION PROGRAM – FORTRAN, Version 12, AQUA
TERRA Consultants, California, US, 2001.
Bilotta, G. S. and Brazier, R. E.: Understanding the influence of suspended
solids on water quality and aquatic biota, Water Res., 42, 2849–2861, https://doi.org/10.1016/j.watres.2008.03.018, 2008.
BKG: Spatial Data Access Act of 10 February 2009, Federal Law Gazette [BGBl.]
Part I, p. 278,, Bundesamt für Kartographie und Geodäsie (BKG), 2009
Bones, E. J.: Predicting critical shear stress and soil erodibility classes
using soil properties, Georgia Institute of Technology, 2014.
Bouchaoua, L., Manginb, A., and Chauve, P.: Turbidity mechanism of water from
a karstic spring: example of the Ain Asserdoune spring (Beni Mellal Atlas,
Morocco), J. Hydrol., 265, 34–42, 2002.
Bouteligier, R., Vaes, G., and Berlamont, J.: Sensitivity of urban drainage
wash-off models: compatibility analysis of HydroWorks QM and MouseTrapusing
CDF relationships, J. Hydroinform., 4, 235–243, 2002.
Brunner, G. W.: HEC-RAS, River Analysis System Hydraulic Reference Manual
Version 5.0, Institute for Water Resources Hydrologic Engineering Center,
Davis, CA US, 2016.
BwAm: Weather data at weather station Bondorf, Agrarmeteorologie Baden-Württenmberg (BwAm), 2016.
CDC: Historical hourly station observations of precipitation for Germany, version v005, DWD Climate Data Center (CDC), 2017.
Clark, L. A. and Wynn, T. M.: Methods for determining streambank critical
shear stress and soil erodibility: Implications for erosion rate predictions,
T. ASABE, 50, 95–106, 2007.
Dong, J., Xia, X., Wang, M., Lai, Y., Zhao, P., Dong, H., Zhao, Y., and Wen,
J.: Effect of water–sediment regulation of the Xiaolangdi Reservoir on the
concentrations, bioavailability, and fluxes of PAHs in the middle and lower
reaches of the Yellow River, J. Hydrol., 527, 101–112, https://doi.org/10.1016/j.jhydrol.2015.04.052, 2015.
Dong, J., Xia, X., Wang, M., Xie, H., Wen, J., and Bao, Y.: Effect of
recurrent sediment resuspension-deposition events on bioavailability of
polycyclic aromatic hydrocarbons in aquatic environments,
J. Hydrol., 540, 934–946, https://doi.org/10.1016/j.jhydrol.2016.07.009, 2016.
Ferro, V. and Porto, P.: Sediment Delivery Distributed (Sedd) Model, J.
Hydrol. Eng., 5, 411–422, https://doi.org/10.1061/(Asce)1084-0699(2000)5:4(411), 2000.
Flanagan, D. C. and Nearing, M. A.: USDA – WATER EROSION PREDICTION PROJECT,
USDA-ARS National Soil Erosion Research Laboratory, Indiana, US, 1995.
Gilley, J. E., Elliot, W. J., Laflen, J. M., and Simoanton, J. R.: Critical
Shear Stress and Critical Flow Rates for Initiation of Rilling, J. Hydrol., 142, 251–271, 1993.
Gong, Y., Liang, X., Li, X., Li, J., Fang, X., and Song, R.: Influence of
Rainfall Characteristics on Total Suspended Solids in Urban Runoff: A Case
Study in Beijing, China, Water, 8, 278, 1–23, https://doi.org/10.3390/w8070278, 2016.
Grabowski, R. C., Droppo, I. G., and Wharton, G.: Erodibility of cohesive
sediment: The importance of sediment properties, Earth-Sci. Rev., 105,
101–120, https://doi.org/10.1016/j.earscirev.2011.01.008, 2011.
Hanson, G. J. and Simon, A.: Erodibility of cohesive streambeds in the loess
area of the midwestern USA, Hydrol. Process., 15, 23–38, 2001.
Haygarth, P. M., Bilotta, G. S., Bol, R., Brazier, R. E., Butler, P. J.,
Freer, J., Gimbert, L. J., Granger, S. J., Krueger, T., Macleod, C. J. A.,
Naden, P., Old, G., Quinton, J. N., Smith, B., and Worsfold, P.: Processes
affecting transfer of sediment and colloids, with associated phosphorus, from
intensively farmed grasslands: an overview of key issues, Hydrol. Process., 20, 4407–4413, https://doi.org/10.1002/hyp.6598, 2006.
Kaase, C. T. and Kupfer, J. A.: Sedimentation patterns across a Coastal
Plain floodplain: The importance of hydrogeomorphic influences and
cross-floodplain connectivity, Geomorphology, 269, 43–55, https://doi.org/10.1016/j.geomorph.2016.06.020, 2016.
Krone, R. B.: Flume studies of the transport of sediment in estuarial
shoaling processes, Univ. of Calif., Berkeley, 1962.
Léonard, J. and Richard, G.: Estimation of runoff critical shear stress for
soil erosion from soil shear strength, Catena, 57, 233–249,
https://doi.org/10.1016/j.catena.2003.11.007, 2004.
LGRB: Bodenkarte von Baden-Württemberg 1 : 50 000, GeoLa – Integrierte
Geowissenschaftliche Landesaufnahme, Regierungspräsidium Freiburg Landesamt
für Geologie, Rohstoffe und Bergbau, 2011.
Lindström, G., Johansson, B., Persson, M., Gardelin, M., and
Bergström, S.: Development and test of the distributed HBV-96
hydrological model, J. Hydrol., 201, 272–288, 1997.
LUBW: Erstellung von Hochwassergefahrenkarten des Landes Baden-Württemberg, LUBW (Landesanstalt für Umwelt, Messungen und Naturschutz, Karlsruhe), 2010.
Meus, P., Moureaux, P., Gailliez, S., Flament, J., Delloye, F., and Nix, P.:
In situ monitoring of karst springs in Wallonia (southern Belgium),
Environ. Earth Sci., 71, 533–541, https://doi.org/10.1007/s12665-013-2760-x, 2013.
Meyer, T. and Wania, F.: Organic contaminant amplification during snowmelt,
Water Res., 42, 1847–1865, https://doi.org/10.1016/j.watres.2007.12.016, 2008.
Modugno, M., Gioia, A., Gorgoglione, A., Iacobellis, V., Forgia, G.,
Piccinni, A., and Ranieri, E.: Build-Up/Wash-Off Monitoring and Assessment
for Sustainable Management of First Flush in an Urban Area, Sustainability,
7, 5050–5070, https://doi.org/10.3390/su7055050, 2015.
Morgan, R. P. C., Quinton, J. N., Smith, R. E., Govers, G., Poesen, J. W. A.,
Auerswald, K., Chisci, G., Torri, D., and Styczen, M. E.: The European Soil
Erosion Model (EUROSEM): A dynamic approach for predicting sediment transport
from fields and small catchments, Earth Surf. Proc. Land., 23, 527–544,
https://doi.org/10.1002/(Sici)1096-9837(199806)23:6<527::Aid-Esp868>3.0.Co;2-5, 1998.
Mukherjee, D. P.: Dynamics of metal ions in suspended sediments in Hugli
estuary, India and its importance towards sustainable monitoring program,
J. Hydrol., 517, 762–776, https://doi.org/10.1016/j.jhydrol.2014.05.069, 2014.
Neitsch, S. L., Arnold, J. G., Kiniry, J. R., and Williams, J. R.: Soil and
Water Assessment Tool, Theoretical Documentation Version 2009, Texas Water
Resources Institute, Texas A&M University System, Texas, US, 2011.
Partheniades, E.: Erosion and Deposition of Cohesive Soils, J. Hydr. Eng. Div., 91, 105–139, 1965.
Patil, S., Sivapalan, M., Hassan, M. A., Ye, S., Harman, C. J., and Xu, X.: A
network model for prediction and diagnosis of sediment dynamics at the
watershed scale, J. Geophys. Res., 117, F00A04, https://doi.org/10.1029/2012jf002400,
2012.
Peraza-Castro, M., Sauvage, S., Sanchez-Perez, J. M., and Ruiz-Romera, E.:
Effect of flood events on transport of suspended sediments, organic matter
and particulate metals in a forest watershed in the Basque Country (Northern
Spain), Sci. Total Environ., 569–570, 784–797, https://doi.org/10.1016/j.scitotenv.2016.06.203,
2016.
Piro, P. and Carbone, M.: A modelling approach to assessing variations of
total suspended solids (tss) mass fluxes during storm events,
Hydrol. Process., 28, 2419–2426, https://doi.org/10.1002/hyp.9809, 2014.
Romero, C. C., Stroosnijder, L., and Baigorria, G. A.: Interrill and rill
erodibility in the northern Andean Highlands, Catena, 70, 105–113,
https://doi.org/10.1016/j.catena.2006.07.005, 2007.
Quesada, S., Tena, A., Guillen, D., Ginebreda, A., Vericat, D., Martinez, E.,
Navarro-Ortega, A., Batalla, R. J., and Barcelo, D.: Dynamics of suspended
sediment borne persistent organic pollutants in a large regulated
Mediterranean river (Ebro, NE Spain), Sci. Total Environ., 473–474, 381–390,
https://doi.org/10.1016/j.scitotenv.2013.11.040, 2014.
Quinton, J. N. and Catt, J. A.: Enrichment of Heavy Metals in Sediment
Resulting from Soil Erosion on Agricultural Fields, Environ. Sci. Technol.,
41, 3495–3500, 2007.
Rossman, L. A. and Huber, W. C.: Storm Water Management Model, Reference
Manual, Volume III – Water Quality, US Environmental Protection Agency,
Cincinnati, OH, US, 2016.
Rügner, H., Schwientek, M., Beckingham, B., Kuch, B., and Grathwohl, P.:
Turbidity as a proxy for total suspended solids (TSS) and particle
facilitated pollutant transport in catchments, Environ. Earth Sci.,
69, 373–380, https://doi.org/10.1007/s12665-013-2307-1, 2013.
Rügner, H., Schwientek, M., Egner, M., and Grathwohl, P.: Monitoring of
event-based mobilization of hydrophobic pollutants in rivers: calibration of
turbidity as a proxy for particle facilitated transport in field and
laboratory, Sci. Total Environ., 490, 191–198, https://doi.org/10.1016/j.scitotenv.2014.04.110,
2014.
Scanlon, T. M., Kiely, G., and Xie, Q.: A nested catchment approach for
defining the hydrological controls on non-point phosphorus transport,
J. Hydrol., 291, 218–231, https://doi.org/10.1016/j.jhydrol.2003.12.036, 2004.
Schwientek, M., Osenbrück, K., and Fleischer, M.: Investigating hydrological
drivers of nitrate export dynamics in two agricultural catchments in Germany
using high-frequency data series, Environ. Earth Sci., 69, 381–393,
10.1007/s12665-013-2322-2, 2013a.
Schwientek, M., Rugner, H., Beckingham, B., Kuch, B., and Grathwohl, P.:
Integrated monitoring of particle associated transport of PAHs in contrasting
catchments, Environ. Pollut., 172, 155–162, https://doi.org/10.1016/j.envpol.2012.09.004, 2013b.
Selle, B., Schwientek, M., and Lischeid, G.: Understanding processes
governing water quality in catchments using principal component scores,
J. Hydrol., 486, 31–38, https://doi.org/10.1016/j.jhydrol.2013.01.030, 2013.
Siddiqui, A. and Robert, A.: Thresholds of erosion and sediment movement in
bedrock channels, Geomorphology, 118, 301–313, https://doi.org/10.1016/j.geomorph.2010.01.011, 2010.
Slaets, J. I. F., Schmitter, P., Hilger, T., Lamers, M., Piepho, H.-P., Vien,
T. D., and Cadisch, G.: A turbidity-based method to continuously monitor
sediment, carbon and nitrogen flows in mountainous watersheds,
J. Hydrol., 513, 45–57, https://doi.org/10.1016/j.jhydrol.2014.03.034, 2014.
UBA: CORINE Land Cover (CLC2006), Umweltbundesamt (German Environmental Protection Agency) (DLR-DFD 2009), 2009.
Wicke, D., Cochrane, T. A., and O'Sullivan, A.: Build-up dynamics of heavy
metals deposited on impermeable urban surfaces, J. Environ. Manage., 113,
347–354, https://doi.org/10.1016/j.jenvman.2012.09.005, 2012.
Winterwerp, J. C., van Kesteren, W. G. M., van Prooijen, B., and Jacobs, W.:
A conceptual framework for shear flow-induced erosion of soft cohesive
sediment beds, J. Geophys. Res.-Oceans, 117, C10020,
https://doi.org/10.1029/2012jc008072, 2012.
Wischmeier, H. and Smith, D. D.: Predicting rainfall erosion losses, USDA
Science and Education Administration, 1978.
Zhang, M. and Yu, G.: Critical conditions of incipient motion of cohesive
sediments, Water Resour. Res., 53, 7798–7815, https://doi.org/10.1002/2017WR021066, 2017.
Zhang, Y., Xiao, W., and Jiao, N.: Linking biochemical properties of
particles to particle-attached and free-living bacterial community structure
along the particle density gradient from freshwater to open ocean, J.
Geophys. Res.-Biogeo., 121, 2261–2274, https://doi.org/10.1002/2016jg003390,
2016.
Short summary
We present a model for water and sediment transport in a small catchment. For the water balance, we use a simple hydrological model that can explain the observed sudden increase in river flow between storm events. This model drives a hydraulic model of the river, which is needed to determine erosion and sedimentation in the river. Sediments are mainly generated in urban areas as the topography of the catchment is smooth. During storm events, erosion and deposition in the river becomes relevant.
We present a model for water and sediment transport in a small catchment. For the water balance,...
