Articles | Volume 21, issue 2
https://doi.org/10.5194/hess-21-751-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-751-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Application of CryoSat-2 altimetry data for river analysis and modelling
Technical University of Denmark, Department of Environmental Engineering, 2800 Kgs. Lyngby, Denmark
Peter Nygaard Godiksen
DHI, 2970 Hørsholm, Denmark
Heidi Villadsen
National Space Institute, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
Henrik Madsen
DHI, 2970 Hørsholm, Denmark
Peter Bauer-Gottwein
Technical University of Denmark, Department of Environmental Engineering, 2800 Kgs. Lyngby, Denmark
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Raoul A. Collenteur, Ezra Haaf, Mark Bakker, Tanja Liesch, Andreas Wunsch, Jenny Soonthornrangsan, Jeremy White, Nick Martin, Rui Hugman, Ed de Sousa, Didier Vanden Berghe, Xinyang Fan, Tim J. Peterson, Jānis Bikše, Antoine Di Ciacca, Xinyue Wang, Yang Zheng, Maximilian Nölscher, Julian Koch, Raphael Schneider, Nikolas Benavides Höglund, Sivarama Krishna Reddy Chidepudi, Abel Henriot, Nicolas Massei, Abderrahim Jardani, Max Gustav Rudolph, Amir Rouhani, J. Jaime Gómez-Hernández, Seifeddine Jomaa, Anna Pölz, Tim Franken, Morteza Behbooei, Jimmy Lin, and Rojin Meysami
Hydrol. Earth Syst. Sci., 28, 5193–5208, https://doi.org/10.5194/hess-28-5193-2024, https://doi.org/10.5194/hess-28-5193-2024, 2024
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We show the results of the 2022 Groundwater Time Series Modelling Challenge; 15 teams applied data-driven models to simulate hydraulic heads, and three model groups were identified: lumped, machine learning, and deep learning. For all wells, reasonable performance was obtained by at least one team from each group. There was not one team that performed best for all wells. In conclusion, the challenge was a successful initiative to compare different models and learn from each other.
Jun Liu, Julian Koch, Simon Stisen, Lars Troldborg, Anker Lajer Højberg, Hans Thodsen, Mark F. T. Hansen, and Raphael J. M. Schneider
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-292, https://doi.org/10.5194/essd-2024-292, 2024
Preprint under review for ESSD
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We developed a CAMELS-style dataset in Denmark, which contains hydrometeorological time series and landscape attributes for 3,330 catchments. Many of the catchments in CAMELS-DK are small and located at low elevations. The dataset provides information on groundwater characteristics and dynamics, as well as quantities related to human impact on the hydrological system in Denmark. The dataset is especially relevant for developing data-driven and hybrid physically-informed modeling frameworks.
Jun Liu, Julian Koch, Simon Stisen, Lars Troldborg, and Raphael J. M. Schneider
Hydrol. Earth Syst. Sci., 28, 2871–2893, https://doi.org/10.5194/hess-28-2871-2024, https://doi.org/10.5194/hess-28-2871-2024, 2024
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We developed hybrid schemes to enhance national-scale streamflow predictions, combining long short-term memory (LSTM) with a physically based hydrological model (PBM). A comprehensive evaluation of hybrid setups across Denmark indicates that LSTM models forced by climate data and catchment attributes perform well in many regions but face challenges in groundwater-dependent basins. The hybrid schemes supported by PBMs perform better in reproducing long-term streamflow behavior and extreme events.
Hafsa Mahmood, Ty P. A. Ferré, Raphael J. M. Schneider, Simon Stisen, Rasmus R. Frederiksen, and Anders V. Christiansen
EGUsphere, https://doi.org/10.5194/egusphere-2023-1872, https://doi.org/10.5194/egusphere-2023-1872, 2023
Preprint withdrawn
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Temporal drain flow dynamics and understanding of their underlying controlling factors are important for water resource management in tile-drained agricultural areas. This study examine whether simpler, more efficient machine learning (ML) models can provide acceptable solutions compared to traditional physics based models. We predicted drain flow time series in multiple catchments subject to a range of climatic and landscape conditions.
Raphael Schneider, Julian Koch, Lars Troldborg, Hans Jørgen Henriksen, and Simon Stisen
Hydrol. Earth Syst. Sci., 26, 5859–5877, https://doi.org/10.5194/hess-26-5859-2022, https://doi.org/10.5194/hess-26-5859-2022, 2022
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Hydrological models at high spatial resolution are computationally expensive. However, outputs from such models, such as the depth of the groundwater table, are often desired in high resolution. We developed a downscaling algorithm based on machine learning that allows us to increase spatial resolution of hydrological model outputs, alleviating computational burden. We successfully applied the downscaling algorithm to the climate-change-induced impacts on the groundwater table across Denmark.
Raphael Schneider, Hans Jørgen Henriksen, and Simon Stisen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-685, https://doi.org/10.5194/hess-2019-685, 2020
Revised manuscript not accepted
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For groundwater models to deliver reliable results, their parameters often have to be estimated in an optimization process guided by some measure of model performance. In this context, we suggest the use of a novel performance metric, which is less prone to a fit to inadequate observations than the most frequently used metrics based on squared errors. Hence, calibration is more robust to deficiencies in model and observational data, which are common especially in larger scale models.
Raoul A. Collenteur, Ezra Haaf, Mark Bakker, Tanja Liesch, Andreas Wunsch, Jenny Soonthornrangsan, Jeremy White, Nick Martin, Rui Hugman, Ed de Sousa, Didier Vanden Berghe, Xinyang Fan, Tim J. Peterson, Jānis Bikše, Antoine Di Ciacca, Xinyue Wang, Yang Zheng, Maximilian Nölscher, Julian Koch, Raphael Schneider, Nikolas Benavides Höglund, Sivarama Krishna Reddy Chidepudi, Abel Henriot, Nicolas Massei, Abderrahim Jardani, Max Gustav Rudolph, Amir Rouhani, J. Jaime Gómez-Hernández, Seifeddine Jomaa, Anna Pölz, Tim Franken, Morteza Behbooei, Jimmy Lin, and Rojin Meysami
Hydrol. Earth Syst. Sci., 28, 5193–5208, https://doi.org/10.5194/hess-28-5193-2024, https://doi.org/10.5194/hess-28-5193-2024, 2024
Short summary
Short summary
We show the results of the 2022 Groundwater Time Series Modelling Challenge; 15 teams applied data-driven models to simulate hydraulic heads, and three model groups were identified: lumped, machine learning, and deep learning. For all wells, reasonable performance was obtained by at least one team from each group. There was not one team that performed best for all wells. In conclusion, the challenge was a successful initiative to compare different models and learn from each other.
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Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-292, https://doi.org/10.5194/essd-2024-292, 2024
Preprint under review for ESSD
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We developed a CAMELS-style dataset in Denmark, which contains hydrometeorological time series and landscape attributes for 3,330 catchments. Many of the catchments in CAMELS-DK are small and located at low elevations. The dataset provides information on groundwater characteristics and dynamics, as well as quantities related to human impact on the hydrological system in Denmark. The dataset is especially relevant for developing data-driven and hybrid physically-informed modeling frameworks.
Theerapol Charoensuk, Claudia Katrine Corvenius Lorentzen, Anne Beukel Bak, Jakob Luchner, Christian Tøttrup, and Peter Bauer-Gottwein
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-175, https://doi.org/10.5194/hess-2024-175, 2024
Revised manuscript under review for HESS
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The objective of this study is to enhance the performance of 1D-2D flood models using satellite Earth observation data. The main factor influencing the 1D-2D flood model is the accuracy of DEM. This study introduces 2 workflows to improve the 1D-2D flood model: 1) DEM analysis workflow evaluates 10 DEM products using the ICESat-2 ATL08 benchmark, and 2) flood map analysis workflow involves comparing flood extent maps derived from multi-mission satellite datasets with simulated flood maps.
Jun Liu, Julian Koch, Simon Stisen, Lars Troldborg, and Raphael J. M. Schneider
Hydrol. Earth Syst. Sci., 28, 2871–2893, https://doi.org/10.5194/hess-28-2871-2024, https://doi.org/10.5194/hess-28-2871-2024, 2024
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We developed hybrid schemes to enhance national-scale streamflow predictions, combining long short-term memory (LSTM) with a physically based hydrological model (PBM). A comprehensive evaluation of hybrid setups across Denmark indicates that LSTM models forced by climate data and catchment attributes perform well in many regions but face challenges in groundwater-dependent basins. The hybrid schemes supported by PBMs perform better in reproducing long-term streamflow behavior and extreme events.
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EGUsphere, https://doi.org/10.5194/egusphere-2023-1872, https://doi.org/10.5194/egusphere-2023-1872, 2023
Preprint withdrawn
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Monica Coppo Frias, Suxia Liu, Xingguo Mo, Karina Nielsen, Heidi Ranndal, Liguang Jiang, Jun Ma, and Peter Bauer-Gottwein
Hydrol. Earth Syst. Sci., 27, 1011–1032, https://doi.org/10.5194/hess-27-1011-2023, https://doi.org/10.5194/hess-27-1011-2023, 2023
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This paper uses remote sensing data from ICESat-2 to calibrate a 1D hydraulic model. With the model, we can make estimations of discharge and water surface elevation, which are important indicators in flooding risk assessment. ICESat-2 data give an added value, thanks to the 0.7 m resolution, which allows the measurement of narrow river streams. In addition, ICESat-2 provides measurements on the river dry portion geometry that can be included in the model.
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Earth Syst. Sci. Data, 14, 5671–5694, https://doi.org/10.5194/essd-14-5671-2022, https://doi.org/10.5194/essd-14-5671-2022, 2022
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A data gap of 338 Chinese reservoirs with their surface water area (SWA), water surface elevation (WSE), and reservoir water storage change (RWSC) during 2010–2021. Validation against the in situ observations of 93 reservoirs indicates the relatively high accuracy and reliability of the datasets. The unique and novel remotely sensed dataset would benefit studies involving many aspects (e.g., hydrological models, water resources related studies, and more).
Raphael Schneider, Julian Koch, Lars Troldborg, Hans Jørgen Henriksen, and Simon Stisen
Hydrol. Earth Syst. Sci., 26, 5859–5877, https://doi.org/10.5194/hess-26-5859-2022, https://doi.org/10.5194/hess-26-5859-2022, 2022
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Hydrological models at high spatial resolution are computationally expensive. However, outputs from such models, such as the depth of the groundwater table, are often desired in high resolution. We developed a downscaling algorithm based on machine learning that allows us to increase spatial resolution of hydrological model outputs, alleviating computational burden. We successfully applied the downscaling algorithm to the climate-change-induced impacts on the groundwater table across Denmark.
Martin Horwath, Benjamin D. Gutknecht, Anny Cazenave, Hindumathi Kulaiappan Palanisamy, Florence Marti, Ben Marzeion, Frank Paul, Raymond Le Bris, Anna E. Hogg, Inès Otosaka, Andrew Shepherd, Petra Döll, Denise Cáceres, Hannes Müller Schmied, Johnny A. Johannessen, Jan Even Øie Nilsen, Roshin P. Raj, René Forsberg, Louise Sandberg Sørensen, Valentina R. Barletta, Sebastian B. Simonsen, Per Knudsen, Ole Baltazar Andersen, Heidi Ranndal, Stine K. Rose, Christopher J. Merchant, Claire R. Macintosh, Karina von Schuckmann, Kristin Novotny, Andreas Groh, Marco Restano, and Jérôme Benveniste
Earth Syst. Sci. Data, 14, 411–447, https://doi.org/10.5194/essd-14-411-2022, https://doi.org/10.5194/essd-14-411-2022, 2022
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Global mean sea-level change observed from 1993 to 2016 (mean rate of 3.05 mm yr−1) matches the combined effect of changes in water density (thermal expansion) and ocean mass. Ocean-mass change has been assessed through the contributions from glaciers, ice sheets, and land water storage or directly from satellite data since 2003. Our budget assessments of linear trends and monthly anomalies utilise new datasets and uncertainty characterisations developed within ESA's Climate Change Initiative.
Liguang Jiang, Silja Westphal Christensen, and Peter Bauer-Gottwein
Hydrol. Earth Syst. Sci., 25, 6359–6379, https://doi.org/10.5194/hess-25-6359-2021, https://doi.org/10.5194/hess-25-6359-2021, 2021
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River roughness and geometry are essential to hydraulic river models. However, measurements of these quantities are not available in most rivers globally. Nevertheless, simultaneous calibration of channel geometric parameters and roughness is difficult as they compensate for each other. This study introduces an alternative approach of parameterization and calibration that reduces parameter correlations by combining cross-section geometry and roughness into a conveyance parameter.
Cecile M. M. Kittel, Liguang Jiang, Christian Tøttrup, and Peter Bauer-Gottwein
Hydrol. Earth Syst. Sci., 25, 333–357, https://doi.org/10.5194/hess-25-333-2021, https://doi.org/10.5194/hess-25-333-2021, 2021
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In poorly instrumented catchments, satellite altimetry offers a unique possibility to obtain water level observations. Improvements in instrument design have increased the capabilities of altimeters to observe inland water bodies, including rivers. In this study, we demonstrate how a dense Sentinel-3 water surface elevation monitoring network can be established at catchment scale using publicly accessible processing platforms. The network can serve as a useful supplement to ground observations.
Sheng Wang, Monica Garcia, Andreas Ibrom, and Peter Bauer-Gottwein
Hydrol. Earth Syst. Sci., 24, 3643–3661, https://doi.org/10.5194/hess-24-3643-2020, https://doi.org/10.5194/hess-24-3643-2020, 2020
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Remote sensing only provides snapshots of rapidly changing land surface variables; this limits its application for water resources and ecosystem management. To obtain continuous estimates of surface temperature, soil moisture, evapotranspiration, and ecosystem productivity, a simple and operational modelling scheme is presented. We demonstrate it with temporally sparse optical and thermal remote sensing data from an unmanned aerial system at a Danish bioenergy plantation eddy covariance site.
Raphael Schneider, Hans Jørgen Henriksen, and Simon Stisen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-685, https://doi.org/10.5194/hess-2019-685, 2020
Revised manuscript not accepted
Short summary
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For groundwater models to deliver reliable results, their parameters often have to be estimated in an optimization process guided by some measure of model performance. In this context, we suggest the use of a novel performance metric, which is less prone to a fit to inadequate observations than the most frequently used metrics based on squared errors. Hence, calibration is more robust to deficiencies in model and observational data, which are common especially in larger scale models.
Raphaël Payet-Burin, Mikkel Kromann, Silvio Pereira-Cardenal, Kenneth Marc Strzepek, and Peter Bauer-Gottwein
Hydrol. Earth Syst. Sci., 23, 4129–4152, https://doi.org/10.5194/hess-23-4129-2019, https://doi.org/10.5194/hess-23-4129-2019, 2019
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We present an open-source tool for water infrastructure investment planning considering interrelations between the water, food, and energy systems. We apply it to the Zambezi River basin to evaluate economic impacts of hydropower and irrigation development plans. We find trade-offs between the development plans and sensitivity to uncertainties (e.g. climate change, carbon taxes, capital costs of solar technologies, environmental policies) demonstrating the necessity for an integrated approach.
Diana Lucatero, Henrik Madsen, Jens C. Refsgaard, Jacob Kidmose, and Karsten H. Jensen
Hydrol. Earth Syst. Sci., 22, 6591–6609, https://doi.org/10.5194/hess-22-6591-2018, https://doi.org/10.5194/hess-22-6591-2018, 2018
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The present study evaluates the skill of a seasonal forecasting system for hydrological relevant variables in Denmark. Linear scaling and quantile mapping were used to correct the forecasts. Uncorrected forecasts tend to be more skillful than climatology, in general, for the first month lead time only. Corrected forecasts show a reduced bias in the mean; are more consistent; and show a level of accuracy that is closer to, although no higher than, that of ensemble climatology, in general.
Filippo Bandini, Daniel Olesen, Jakob Jakobsen, Cecile Marie Margaretha Kittel, Sheng Wang, Monica Garcia, and Peter Bauer-Gottwein
Hydrol. Earth Syst. Sci., 22, 4165–4181, https://doi.org/10.5194/hess-22-4165-2018, https://doi.org/10.5194/hess-22-4165-2018, 2018
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Water depth observations are essential data to forecast flood hazard, predict sediment transport, or monitor in-stream habitats. We retrieved bathymetry with a sonar wired to a drone. This system can improve the speed and spatial scale at which water depth observations are retrieved. Observations can be retrieved also in unnavigable or inaccessible rivers. Water depth observations showed an accuracy of ca. 2.1 % of actual depth, without being affected by water turbidity or bed material.
Diana Lucatero, Henrik Madsen, Jens C. Refsgaard, Jacob Kidmose, and Karsten H. Jensen
Hydrol. Earth Syst. Sci., 22, 3601–3617, https://doi.org/10.5194/hess-22-3601-2018, https://doi.org/10.5194/hess-22-3601-2018, 2018
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The skill of an experimental streamflow forecast system in the Ahlergaarde catchment, Denmark, is analyzed. Inputs to generate the forecasts are taken from the ECMWF System 4 seasonal forecasting system and an ensemble of observations (ESP). Reduction of biases is achieved by processing the meteorological and/or streamflow forecasts. In general, this is not sufficient to ensure a higher level of accuracy than the ESP, indicating a modest added value of a seasonal meteorological system.
Cecile M. M. Kittel, Karina Nielsen, Christian Tøttrup, and Peter Bauer-Gottwein
Hydrol. Earth Syst. Sci., 22, 1453–1472, https://doi.org/10.5194/hess-22-1453-2018, https://doi.org/10.5194/hess-22-1453-2018, 2018
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In this study, we integrate free, global Earth observations in a user-friendly and flexible model to reliably characterize an otherwise unmonitored river basin. The proposed model is the best baseline characterization of the Ogooué basin in light of available observations. Furthermore, the study shows the potential of using new, publicly available Earth observations and a suitable model structure to obtain new information in poorly monitored or remote areas and to support user requirements.
Per Skougaard Kaspersen, Nanna Høegh Ravn, Karsten Arnbjerg-Nielsen, Henrik Madsen, and Martin Drews
Hydrol. Earth Syst. Sci., 21, 4131–4147, https://doi.org/10.5194/hess-21-4131-2017, https://doi.org/10.5194/hess-21-4131-2017, 2017
Donghua Zhang, Henrik Madsen, Marc E. Ridler, Jacob Kidmose, Karsten H. Jensen, and Jens C. Refsgaard
Hydrol. Earth Syst. Sci., 20, 4341–4357, https://doi.org/10.5194/hess-20-4341-2016, https://doi.org/10.5194/hess-20-4341-2016, 2016
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We present a method to assimilate observed groundwater head and soil moisture profiles into an integrated hydrological model. The study uses the ensemble transform Kalman filter method and the MIKE SHE hydrological model code. The proposed method is shown to be more robust and provide better results for two cases in Denmark, and is also validated using real data. The hydrological model with assimilation overall improved performance compared to the model without assimilation.
Jørn Rasmussen, Henrik Madsen, Karsten Høgh Jensen, and Jens Christian Refsgaard
Hydrol. Earth Syst. Sci., 20, 2103–2118, https://doi.org/10.5194/hess-20-2103-2016, https://doi.org/10.5194/hess-20-2103-2016, 2016
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In the paper, observations are assimilated into a hydrological model in order to improve the model performance. Two methods for detecting and correcting systematic errors (bias) in groundwater head observations are used leading to improved results compared to standard assimilation methods which ignores any bias. This is demonstrated using both synthetic (user generated) observations and real-world observations.
Claus Davidsen, Suxia Liu, Xingguo Mo, Dan Rosbjerg, and Peter Bauer-Gottwein
Hydrol. Earth Syst. Sci., 20, 771–785, https://doi.org/10.5194/hess-20-771-2016, https://doi.org/10.5194/hess-20-771-2016, 2016
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In northern China, rivers run dry and groundwater tables drop, causing economic losses for all water use sectors. We present a groundwater-surface water allocation decision support tool for cost-effective long-term recovery of an overpumped aquifer. The tool is demonstrated for a part of the North China Plain and can support the implementation of the recent China No. 1 Document in a rational and economically efficient way.
P. A. Marker, N. Foged, X. He, A. V. Christiansen, J. C. Refsgaard, E. Auken, and P. Bauer-Gottwein
Hydrol. Earth Syst. Sci., 19, 3875–3890, https://doi.org/10.5194/hess-19-3875-2015, https://doi.org/10.5194/hess-19-3875-2015, 2015
J. Rasmussen, H. Madsen, K. H. Jensen, and J. C. Refsgaard
Hydrol. Earth Syst. Sci., 19, 2999–3013, https://doi.org/10.5194/hess-19-2999-2015, https://doi.org/10.5194/hess-19-2999-2015, 2015
P. Skougaard Kaspersen, N. Høegh Ravn, K. Arnbjerg-Nielsen, H. Madsen, and M. Drews
Proc. IAHS, 370, 21–27, https://doi.org/10.5194/piahs-370-21-2015, https://doi.org/10.5194/piahs-370-21-2015, 2015
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A combined remote sensing and hydrological modelling approach is developed to examine the influence of urban land cover changes and climate change for the exposure of cities towards flooding. Results show that the past 30 years of urban development has increased the exposure to pluvial flooding by 6-26%. Corresponding estimates for a medium and high climate change scenario (2071-2100) are 40% and 100%, indicating that urban land cover changes are central for the exposure of cities to flooding.
M. A. Sunyer, Y. Hundecha, D. Lawrence, H. Madsen, P. Willems, M. Martinkova, K. Vormoor, G. Bürger, M. Hanel, J. Kriaučiūnienė, A. Loukas, M. Osuch, and I. Yücel
Hydrol. Earth Syst. Sci., 19, 1827–1847, https://doi.org/10.5194/hess-19-1827-2015, https://doi.org/10.5194/hess-19-1827-2015, 2015
P. Bauer-Gottwein, I. H. Jensen, R. Guzinski, G. K. T. Bredtoft, S. Hansen, and C. I. Michailovsky
Hydrol. Earth Syst. Sci., 19, 1469–1485, https://doi.org/10.5194/hess-19-1469-2015, https://doi.org/10.5194/hess-19-1469-2015, 2015
N. Foged, P. A. Marker, A. V. Christansen, P. Bauer-Gottwein, F. Jørgensen, A.-S. Høyer, and E. Auken
Hydrol. Earth Syst. Sci., 18, 4349–4362, https://doi.org/10.5194/hess-18-4349-2014, https://doi.org/10.5194/hess-18-4349-2014, 2014
C. I. Michailovsky and P. Bauer-Gottwein
Hydrol. Earth Syst. Sci., 18, 997–1007, https://doi.org/10.5194/hess-18-997-2014, https://doi.org/10.5194/hess-18-997-2014, 2014
M. A. Sunyer, H. J. D. Sørup, O. B. Christensen, H. Madsen, D. Rosbjerg, P. S. Mikkelsen, and K. Arnbjerg-Nielsen
Hydrol. Earth Syst. Sci., 17, 4323–4337, https://doi.org/10.5194/hess-17-4323-2013, https://doi.org/10.5194/hess-17-4323-2013, 2013
D. Herckenrath, G. Fiandaca, E. Auken, and P. Bauer-Gottwein
Hydrol. Earth Syst. Sci., 17, 4043–4060, https://doi.org/10.5194/hess-17-4043-2013, https://doi.org/10.5194/hess-17-4043-2013, 2013
Related subject area
Subject: Rivers and Lakes | Techniques and Approaches: Instruments and observation techniques
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Drastic decline of flood pulse in the Cambodian floodplains (Mekong River and Tonle Sap system)
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Contrasting hydrological and thermal intensities determine seasonal lake-level variations – a case study at Paiku Co on the southern Tibetan Plateau
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Using radon to understand parafluvial flows and the changing locations of groundwater inflows in the Avon River, southeast Australia
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Morphological, hydrological, biogeochemical and ecological changes and challenges in river restoration – the Thur River case study
Dynamics of auto- and heterotrophic picoplankton and associated viruses in Lake Geneva
Historic maps as a data source for socio-hydrology: a case study of the Lake Balaton wetland system, Hungary
Spatio-temporal heterogeneity of riparian soil morphology in a restored floodplain
Flood discharge measurement of a mountain river – Nanshih River in Taiwan
Hydrochemical variability at the Upper Paraguay Basin and Pantanal wetland
Measurement of spatial and temporal fine sediment dynamics in a small river
Technical Note: How image processing facilitates the rising bubble technique for discharge measurement
Discharge estimation in a backwater affected meandering river
Ephemeral stream sensor design using state loggers
Evan J. Wilcox, Brent B. Wolfe, and Philip Marsh
Hydrol. Earth Syst. Sci., 27, 2173–2188, https://doi.org/10.5194/hess-27-2173-2023, https://doi.org/10.5194/hess-27-2173-2023, 2023
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The Arctic is warming quickly and influencing lake water balances. We used water isotope concentrations taken from samples of 25 lakes in the Canadian Arctic and estimated the average ratio of evaporation to inflow (E / I) for each lake. The ratio of watershed area (the area that flows into the lake) to lake area (WA / LA) strongly predicted E / I, as lakes with relatively smaller watersheds received less inflow. The WA / LA could be used to predict the vulnerability of Arctic lakes to future change.
Monika Barbara Kalinowska, Kaisa Västilä, Michael Nones, Adam Kiczko, Emilia Karamuz, Andrzej Brandyk, Adam Kozioł, and Marcin Krukowski
Hydrol. Earth Syst. Sci., 27, 953–968, https://doi.org/10.5194/hess-27-953-2023, https://doi.org/10.5194/hess-27-953-2023, 2023
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Vegetation is commonly found in rivers and channels. Using field investigations, we evaluated the influence of different vegetation coverages on the flow and mixing in the small naturally vegetated channel. The obtained results are expected to be helpful for practitioners, enlarge our still limited knowledge, and show the further required scientific directions for a better understanding of the influence of vegetation on the flow and mixing of dissolved substances in real natural conditions.
Evan J. Wilcox, Brent B. Wolfe, and Philip Marsh
Hydrol. Earth Syst. Sci., 26, 6185–6205, https://doi.org/10.5194/hess-26-6185-2022, https://doi.org/10.5194/hess-26-6185-2022, 2022
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We estimated how much of the water flowing into lakes during snowmelt replaced the pre-snowmelt lake water. Our data show that, as lake depth increases, the amount of water mixed into lakes decreased, because vertical mixing is reduced as lake depth increases. Our data also show that the water mixing into lakes is not solely snow-sourced but is a mixture of snowmelt and soil water. These results are relevant for lake biogeochemistry given the unique properties of snowmelt runoff.
Francesca Zanetti, Nicola Durighetto, Filippo Vingiani, and Gianluca Botter
Hydrol. Earth Syst. Sci., 26, 3497–3516, https://doi.org/10.5194/hess-26-3497-2022, https://doi.org/10.5194/hess-26-3497-2022, 2022
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River networks are highly dynamical. Characterizing expansion and retraction of flowing streams is a significant scientific challenge. Electrical resistance sensors were used to monitor stream network patterns in an alpine catchment. Our data show the presence of spatial heterogeneity in network dynamics and that the active length is more sensitive than discharge to small rain events. The study unravels potentials and limitations of the sensors for the characterization of temporary streams.
Pradip Kumar Maurya, Frederik Ersted Christensen, Masson Andy Kass, Jesper B. Pedersen, Rasmus R. Frederiksen, Nikolaj Foged, Anders Vest Christiansen, and Esben Auken
Hydrol. Earth Syst. Sci., 26, 2813–2827, https://doi.org/10.5194/hess-26-2813-2022, https://doi.org/10.5194/hess-26-2813-2022, 2022
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In this paper, we present an application of the electromagnetic method to image the subsurface below rivers, lakes, or any surface water body. The scanning of the subsurface is carried out by sailing an electromagnetic sensor called FloaTEM. Imaging results show a 3D distribution of different sediment types below the freshwater lakes. In the case of saline water, the system is capable of identifying the probable location of groundwater discharge into seawater.
Samuel De Xun Chua, Xi Xi Lu, Chantha Oeurng, Ty Sok, and Carl Grundy-Warr
Hydrol. Earth Syst. Sci., 26, 609–625, https://doi.org/10.5194/hess-26-609-2022, https://doi.org/10.5194/hess-26-609-2022, 2022
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We found that the annual flood at the Cambodian floodplains decreased from 1960 to 2019. Consequently, the Tonle Sap Lake, the largest lake in Southeast Asia, is shrinking. The results are worrying because the local fisheries and planting calendar might be disrupted. This drastic decline of flooding extent is caused mostly by local factors, namely water withdrawal for irrigation and channel incision from sand mining activities.
Tomy Doda, Cintia L. Ramón, Hugo N. Ulloa, Alfred Wüest, and Damien Bouffard
Hydrol. Earth Syst. Sci., 26, 331–353, https://doi.org/10.5194/hess-26-331-2022, https://doi.org/10.5194/hess-26-331-2022, 2022
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At night or during cold periods, the shallow littoral region of lakes cools faster than their deeper interior. This induces a cold downslope current that carries littoral waters offshore. From a 1-year-long database collected in a small temperate lake, we resolve the seasonality of this current and report its frequent occurrence from summer to winter. This study contributes to a better quantification of lateral exchange in lakes, with implications for the transport of dissolved compounds.
Ian Cartwright
Hydrol. Earth Syst. Sci., 26, 183–195, https://doi.org/10.5194/hess-26-183-2022, https://doi.org/10.5194/hess-26-183-2022, 2022
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Using specific conductivity (SC) to estimate groundwater inflow to rivers is complicated by bank return waters, interflow, and flows off floodplains contributing to baseflow in all but the driest years. Using the maximum SC of the river in dry years to estimate the SC of groundwater produces the best baseflow vs. streamflow trends. The variable composition of baseflow hinders calibration of hydrograph-based techniques to estimate groundwater inflows.
Gerardo Benito, Olegario Castillo, Juan A. Ballesteros-Cánovas, Maria Machado, and Mariano Barriendos
Hydrol. Earth Syst. Sci., 25, 6107–6132, https://doi.org/10.5194/hess-25-6107-2021, https://doi.org/10.5194/hess-25-6107-2021, 2021
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Climate change is expected to increase the intensity of floods, but changes are difficult to project. We compiled historical and modern flood data of the Rio Duero (Spain) to evaluate flood hazards beyond decadal climate cycles. Historical floods were obtained from documentary sources, identifying 69 floods over 1250–1871 CE. Discharges were calculated from reported flood heights. Flood frequency using historical datasets showed the most robust results, guiding climate change adaptation.
Yanbin Lei, Tandong Yao, Kun Yang, Lazhu, Yaoming Ma, and Broxton W. Bird
Hydrol. Earth Syst. Sci., 25, 3163–3177, https://doi.org/10.5194/hess-25-3163-2021, https://doi.org/10.5194/hess-25-3163-2021, 2021
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Lake evaporation from Paiku Co on the TP is low in spring and summer and high in autumn and early winter. There is a ~ 5-month lag between net radiation and evaporation due to large lake heat storage. High evaporation and low inflow cause significant lake-level decrease in autumn and early winter, while low evaporation and high inflow cause considerable lake-level increase in summer. This study implies that evaporation can affect the different amplitudes of lake-level variations on the TP.
Frederic Thalasso, Katey Walter Anthony, Olya Irzak, Ethan Chaleff, Laughlin Barker, Peter Anthony, Philip Hanke, and Rodrigo Gonzalez-Valencia
Hydrol. Earth Syst. Sci., 24, 6047–6058, https://doi.org/10.5194/hess-24-6047-2020, https://doi.org/10.5194/hess-24-6047-2020, 2020
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Methane (CH4) seepage is the steady or episodic flow of gaseous hydrocarbons from subsurface reservoirs that has been identified as a significant source of atmospheric CH4. The monitoring of these emissions is important and despite several available methods, large macroseeps are still difficult to measure due to a lack of a lightweight and inexpensive method deployable in remote environments. Here, we report the development of a mobile chamber for measuring intense CH4 macroseepage in lakes.
Shangbin Xiao, Liu Liu, Wei Wang, Andreas Lorke, Jason Woodhouse, and Hans-Peter Grossart
Hydrol. Earth Syst. Sci., 24, 3871–3880, https://doi.org/10.5194/hess-24-3871-2020, https://doi.org/10.5194/hess-24-3871-2020, 2020
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To better understand the fate of methane (CH4) and carbon dioxide (CO2) in freshwaters, dissolved CH4 and CO2 need to be measured with a high temporal resolution. We developed the Fast-Response Automated Gas Equilibrator (FaRAGE) for real-time in situ measurement of dissolved gases in water. FaRAGE can achieve a short response time (CH4:
t95 % = 12 s; CO2:
t95 % = 10 s) while retaining a high equilibration ratio and accuracy.
Nguyen Thanh Duc, Samuel Silverstein, Martin Wik, Patrick Crill, David Bastviken, and Ruth K. Varner
Hydrol. Earth Syst. Sci., 24, 3417–3430, https://doi.org/10.5194/hess-24-3417-2020, https://doi.org/10.5194/hess-24-3417-2020, 2020
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Under rapid ongoing climate change, accurate quantification of natural greenhouse gas emissions in aquatic environments such as lakes and ponds is needed to understand regulation and feedbacks. Building on the rapid development in wireless communication, sensors, and computation technology, we present a low-cost, open-source, automated and remotely accessed and controlled device for carbon dioxide and methane fluxes from open-water environments along with tests showing their potential.
Zvjezdana B. Klaić, Karmen Babić, and Mirko Orlić
Hydrol. Earth Syst. Sci., 24, 3399–3416, https://doi.org/10.5194/hess-24-3399-2020, https://doi.org/10.5194/hess-24-3399-2020, 2020
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Fine-resolution lake temperature measurements (2 min, 15 depths) show different lake responses to atmospheric forcings: (1) continuous diurnal oscillations in the temperature in the first 5 m of the lake, (2) occasional diurnal oscillations in the temperature at depths from 7 to 20 m, and (3) occasional surface and internal seiches. Due to the sloped lake bottom, surface seiches produced the high-frequency oscillations in the lake temperatures with periods of 9 min at depths from 9 to 17 m.
Erwin Rottler, Till Francke, Gerd Bürger, and Axel Bronstert
Hydrol. Earth Syst. Sci., 24, 1721–1740, https://doi.org/10.5194/hess-24-1721-2020, https://doi.org/10.5194/hess-24-1721-2020, 2020
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In the attempt to identify and disentangle long-term impacts of changes in snow cover and precipitation along with reservoir constructions, we employ a set of analytical tools on hydro-climatic time series. We identify storage reservoirs as an important factor redistributing runoff from summer to winter. Furthermore, our results hint at more (intense) rainfall in recent decades. Detected increases in high discharge can be traced back to corresponding changes in precipitation.
Bertram Boehrer, Wolf von Tümpling, Ange Mugisha, Christophe Rogemont, and Augusta Umutoni
Hydrol. Earth Syst. Sci., 23, 4707–4716, https://doi.org/10.5194/hess-23-4707-2019, https://doi.org/10.5194/hess-23-4707-2019, 2019
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Dissolved methane in Lake Kivu (East Africa) represents a precious energy deposit, but the high gas loads have also been perceived as a threat by the local population. Our measurements confirm the huge amount of methane and carbon dioxide present, but do not support the current theory of a significant recharge. Direct measurements of gas pressure indicate no imminent danger due to limnic eruptions. A continuous survey is mandatory to support responsible action during industrial exploitation.
André Chandesris, Kris Van Looy, Jacob S. Diamond, and Yves Souchon
Hydrol. Earth Syst. Sci., 23, 4509–4525, https://doi.org/10.5194/hess-23-4509-2019, https://doi.org/10.5194/hess-23-4509-2019, 2019
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We found that small dams in rivers alter the thermal regimes of downstream waters in two distinct ways: either only the downstream daily minimum temperatures increase, or both the downstream daily minimum and maximum temperatures increase. We further show that only two physical dam characteristics can explain this difference in temperature response: (1) residence time, and (2) surface area. These results may help managers prioritize efforts to restore the fragmented thermalscapes of rivers.
Giulia Valerio, Marco Pilotti, Maximilian Peter Lau, and Michael Hupfer
Hydrol. Earth Syst. Sci., 23, 1763–1777, https://doi.org/10.5194/hess-23-1763-2019, https://doi.org/10.5194/hess-23-1763-2019, 2019
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This paper provides experimental evidence of the occurrence of large and periodic movements induced by the wind at 95 m in depth in Lake Iseo, where a permanent chemocline is located. These movements determine vertical oscillations of the oxycline up to 20 m. Accordingly, in 3 % of the sediment area alternating redox conditions occur, which might force unsteady sediment–water fluxes. This finding has major implications for the internal matter cycle in Lake Iseo.
Georgiy Kirillin, Ilya Aslamov, Matti Leppäranta, and Elisa Lindgren
Hydrol. Earth Syst. Sci., 22, 6493–6504, https://doi.org/10.5194/hess-22-6493-2018, https://doi.org/10.5194/hess-22-6493-2018, 2018
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We have discovered transient appearances of strong turbulent mixing beneath the ice of an Arctic lake. Such mixing events increase heating of the ice base up to an order of magnitude and can significantly accelerate ice melting. The source of mixing was identified as oscillations of the entire lake water body triggered by strong winds over the lake surface. This previously unknown mechanism of ice melt may help understand the link between the climate conditions and the seasonal ice formation.
Peter O. Zavialov, Alexander S. Izhitskiy, Georgiy B. Kirillin, Valentina M. Khan, Boris V. Konovalov, Peter N. Makkaveev, Vadim V. Pelevin, Nikolay A. Rimskiy-Korsakov, Salmor A. Alymkulov, and Kubanychbek M. Zhumaliev
Hydrol. Earth Syst. Sci., 22, 6279–6295, https://doi.org/10.5194/hess-22-6279-2018, https://doi.org/10.5194/hess-22-6279-2018, 2018
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This paper reports the results of field surveys conducted in Lake Issyk-Kul in 2015–2017 and compares the present-day data with the available historical records. Our data do not confirm the reports of progressive warming of the deep Issyk-Kul waters as suggested in some previous publications. However, they do indicate a positive trend of salinity in the lake’s interior over the last 3 decades. An important newly found feature is a persistent salinity maximum at depths of 70–120 m.
Xin Luo, Xingxing Kuang, Jiu Jimmy Jiao, Sihai Liang, Rong Mao, Xiaolang Zhang, and Hailong Li
Hydrol. Earth Syst. Sci., 22, 5579–5598, https://doi.org/10.5194/hess-22-5579-2018, https://doi.org/10.5194/hess-22-5579-2018, 2018
David Eschbach, Laurent Schmitt, Gwenaël Imfeld, Jan-Hendrik May, Sylvain Payraudeau, Frank Preusser, Mareike Trauerstein, and Grzegorz Skupinski
Hydrol. Earth Syst. Sci., 22, 2717–2737, https://doi.org/10.5194/hess-22-2717-2018, https://doi.org/10.5194/hess-22-2717-2018, 2018
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In this study we show the relevance of an interdisciplinary study for improving restoration within the framework of a European LIFE+ project on the French side of the Upper Rhine (Rohrschollen Island). Our results underscore the advantage of combining functional restoration with detailed knowledge of past trajectories in complex hydrosystems. We anticipate our approach will expand the toolbox of decision-makers and help orientate functional restoration actions in the future.
Eddie W. Banks, Margaret A. Shanafield, Saskia Noorduijn, James McCallum, Jörg Lewandowski, and Okke Batelaan
Hydrol. Earth Syst. Sci., 22, 1917–1929, https://doi.org/10.5194/hess-22-1917-2018, https://doi.org/10.5194/hess-22-1917-2018, 2018
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This study used a portable 56-sensor, 3-D temperature array with three heat pulse sources to measure the flow direction and magnitude below the water–sediment interface. Breakthrough curves from each of the sensors were analyzed using a heat transport equation. The use of short-duration heat pulses provided a rapid, accurate assessment technique for determining dynamic and multi-directional flow patterns in the hyporheic zone and is a basis for improved understanding of biogeochemical processes.
Nicholas Voichick, David J. Topping, and Ronald E. Griffiths
Hydrol. Earth Syst. Sci., 22, 1767–1773, https://doi.org/10.5194/hess-22-1767-2018, https://doi.org/10.5194/hess-22-1767-2018, 2018
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This paper describes instances in the Grand Canyon study area and a laboratory experiment in which very high suspended-sediment concentrations result in incorrectly low turbidity recorded with a commonly used field instrument. If associated with the monitoring of a construction or dredging project, false low turbidity could result in regulators being unaware of environmental damage caused by the actually much higher turbidity.
Silvia Bersan, André R. Koelewijn, and Paolo Simonini
Hydrol. Earth Syst. Sci., 22, 1491–1508, https://doi.org/10.5194/hess-22-1491-2018, https://doi.org/10.5194/hess-22-1491-2018, 2018
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Backward erosion piping is the cause of a significant percentage of failures and incidents involving dams and river embankments. In the past 20 years fibre-optic Distributed Temperature Sensing (DTS) has proved to be effective for the detection of leakages and internal erosion in dams. This work investigates the effectiveness of DTS for monitoring backward erosion piping in river embankments. Data from a large-scale piping test performed on an instrumented dike are presented and discussed.
Thaine H. Assumpção, Ioana Popescu, Andreja Jonoski, and Dimitri P. Solomatine
Hydrol. Earth Syst. Sci., 22, 1473–1489, https://doi.org/10.5194/hess-22-1473-2018, https://doi.org/10.5194/hess-22-1473-2018, 2018
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Citizens can contribute to science by providing data, analysing them and as such contributing to decision-making processes. For example, citizens have collected water levels from gauges, which are important when simulating/forecasting floods, where data are usually scarce. This study reviewed such contributions and concluded that integration of citizen data may not be easy due to their spatio-temporal characteristics but that citizen data still proved valuable and can be used in flood modelling.
Jutta Metzger, Manuela Nied, Ulrich Corsmeier, Jörg Kleffmann, and Christoph Kottmeier
Hydrol. Earth Syst. Sci., 22, 1135–1155, https://doi.org/10.5194/hess-22-1135-2018, https://doi.org/10.5194/hess-22-1135-2018, 2018
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This paper is motivated by the need for more precise evaporation rates from the Dead Sea (DS) and methods to estimate and forecast evaporation. A new approach to measure lake evaporation with a station located at the shoreline, also transferable to other lakes, is introduced. The first directly measured DS evaporation rates are presented as well as applicable methods for evaporation calculation. These results enable us to further close the DS water budget and to facilitate the water management.
Pauline Leduc, Peter Ashmore, and Darren Sjogren
Hydrol. Earth Syst. Sci., 22, 1–11, https://doi.org/10.5194/hess-22-1-2018, https://doi.org/10.5194/hess-22-1-2018, 2018
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We show the utility of ground-based time-lapse cameras for automated monitoring of stream stage and flow characteristics. High-frequency flow stage, water surface width and other information on the state of flow can be acquired for extended time periods with simple local calibration using a low-cost time-lapse camera and a few simple field measurements for calibration and for automated image selection and sorting. The approach is a useful substitute or complement to the conventional stage data.
Christina Tecklenburg and Theresa Blume
Hydrol. Earth Syst. Sci., 21, 5043–5063, https://doi.org/10.5194/hess-21-5043-2017, https://doi.org/10.5194/hess-21-5043-2017, 2017
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We characterized groundwater–lake exchange patterns and identified their controls based on extensive field measurements. Our measurement design bridges the gap between the detailed local characterisation and low resolution regional investigations. Results indicated strong spatial variability in groundwater inflow rates: large scale inflow patterns correlated with topography and the groundwater flow field and small scale patterns correlated with grainsize distributions of the lake sediment.
H. J. Ilja van Meerveld, Marc J. P. Vis, and Jan Seibert
Hydrol. Earth Syst. Sci., 21, 4895–4905, https://doi.org/10.5194/hess-21-4895-2017, https://doi.org/10.5194/hess-21-4895-2017, 2017
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We tested the usefulness of stream level class data for hydrological model calibration. Only two stream level classes, e.g. above or below a rock in the stream, were already informative, particularly when the boundary was chosen at a high stream level. There was hardly any improvement in model performance when using more than five stream level classes. These results suggest that model based streamflow time series can be obtained from citizen science based water level class data.
Hidayat Hidayat, Adriaan J. Teuling, Bart Vermeulen, Muh Taufik, Karl Kastner, Tjitske J. Geertsema, Dinja C. C. Bol, Dirk H. Hoekman, Gadis Sri Haryani, Henny A. J. Van Lanen, Robert M. Delinom, Roel Dijksma, Gusti Z. Anshari, Nining S. Ningsih, Remko Uijlenhoet, and Antonius J. F. Hoitink
Hydrol. Earth Syst. Sci., 21, 2579–2594, https://doi.org/10.5194/hess-21-2579-2017, https://doi.org/10.5194/hess-21-2579-2017, 2017
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Hydrological prediction is crucial but in tropical lowland it is difficult, considering data scarcity and river system complexity. This study offers a view of the hydrology of two tropical lowlands in Indonesia. Both lowlands exhibit the important role of upstream wetlands in regulating the flow downstream. We expect that this work facilitates a better prediction of fire-prone conditions in these regions.
Kyutae Lee, Ali R. Firoozfar, and Marian Muste
Hydrol. Earth Syst. Sci., 21, 1863–1874, https://doi.org/10.5194/hess-21-1863-2017, https://doi.org/10.5194/hess-21-1863-2017, 2017
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Accurate estimation of stream/river flows is important in many aspects, including public safety during floods, effective uses of water resources for hydropower generation and irrigation, and environments. In this paper, we investigated a feasibility of the continuous slope area (CSA) method which measures dynamic changes in instantaneous water surface elevations, and the results showed promising capabilities of the suggested method for the accurate estimation of flows in natural streams/rivers.
Matthew T. Perks, Andrew J. Russell, and Andrew R. G. Large
Hydrol. Earth Syst. Sci., 20, 4005–4015, https://doi.org/10.5194/hess-20-4005-2016, https://doi.org/10.5194/hess-20-4005-2016, 2016
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Unmanned aerial vehicles (UAVs) have the potential to capture information about the earth’s surface in dangerous and previously inaccessible locations. Here we present a method whereby image acquisition and subsequent analysis have enabled the highly dynamic and oft-immeasurable hydraulic phenomenon present during high-energy flash floods to be quantified at previously unattainable spatial and temporal resolutions.
Ian Cartwright and Harald Hofmann
Hydrol. Earth Syst. Sci., 20, 3581–3600, https://doi.org/10.5194/hess-20-3581-2016, https://doi.org/10.5194/hess-20-3581-2016, 2016
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This paper uses the natural geochemical tracer Rn together with streamflow measurements to differentiate between actual groundwater inflows and water that exits the river, flows through the near-river sediments, and subsequently re-enters the river downstream (parafluvial flow). Distinguishing between these two components is important to understanding the water balance in gaining streams and in managing and protecting surface water resources.
Z. D. Wen, K. S. Song, Y. Zhao, J. Du, and J. H. Ma
Hydrol. Earth Syst. Sci., 20, 787–801, https://doi.org/10.5194/hess-20-787-2016, https://doi.org/10.5194/hess-20-787-2016, 2016
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The study indicated that CDOM in rivers had higher aromaticity, molecular weight, and vascular plant contribution than in terminal lakes in the Hulun Buir plateau, Northeast China. The autochthonous sources of CDOM in plateau waters were higher than in other freshwater rivers reported in the literature. Study of the optical–physicochemical correlations is helpful in the evaluation of the potential influence of water quality factors on non-water light absorption in plateau water environments.
C. Schwatke, D. Dettmering, W. Bosch, and F. Seitz
Hydrol. Earth Syst. Sci., 19, 4345–4364, https://doi.org/10.5194/hess-19-4345-2015, https://doi.org/10.5194/hess-19-4345-2015, 2015
J. Halder, S. Terzer, L. I. Wassenaar, L. J. Araguás-Araguás, and P. K. Aggarwal
Hydrol. Earth Syst. Sci., 19, 3419–3431, https://doi.org/10.5194/hess-19-3419-2015, https://doi.org/10.5194/hess-19-3419-2015, 2015
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We introduce a new online global database of riverine water stable isotopes (Global Network of Isotopes in Rivers) and evaluate its longer-term data holdings. A regionalized, cluster-based precipitation isotope model was used to compare measured to predicted isotope compositions of riverine catchments. The study demonstrated that the seasonal isotopic composition and variation of river water can be predicted, which will improve the application of water stable isotopes in rivers.
L. Schulte, J. C. Peña, F. Carvalho, T. Schmidt, R. Julià, J. Llorca, and H. Veit
Hydrol. Earth Syst. Sci., 19, 3047–3072, https://doi.org/10.5194/hess-19-3047-2015, https://doi.org/10.5194/hess-19-3047-2015, 2015
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A 2600-year long composite palaeoflood record is reconstructed from high-resolution delta plain sediments of the Hasli-Aare floodplain on the northern slope of the Swiss Alps. Natural proxies compiled from sedimentary, geochemical and geomorphological data were calibrated by textual and factual sources and instrumental data. Geomorphological, historical and instrumental data provide evidence for flood damage intensities and discharge estimations of severe and catastrophic historical floods.
C. J. Gleason, L. C. Smith, D. C. Finnegan, A. L. LeWinter, L. H Pitcher, and V. W. Chu
Hydrol. Earth Syst. Sci., 19, 2963–2969, https://doi.org/10.5194/hess-19-2963-2015, https://doi.org/10.5194/hess-19-2963-2015, 2015
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Here, we give a semi-automated processing workflow to extract hydraulic parameters from over 10,000 time-lapse images of the remote Isortoq River in Greenland. This workflow allows efficient and accurate (mean accuracy 79.6%) classification of images following an automated similarity filtering process. We also give an effective width hydrograph (a proxy for discharge) for the Isortoq using this workflow, showing the potential of this workflow for enhancing understanding of remote rivers.
I. Kogelbauer and W. Loiskandl
Hydrol. Earth Syst. Sci., 19, 1427–1438, https://doi.org/10.5194/hess-19-1427-2015, https://doi.org/10.5194/hess-19-1427-2015, 2015
M. Schirmer, J. Luster, N. Linde, P. Perona, E. A. D. Mitchell, D. A. Barry, J. Hollender, O. A. Cirpka, P. Schneider, T. Vogt, D. Radny, and E. Durisch-Kaiser
Hydrol. Earth Syst. Sci., 18, 2449–2462, https://doi.org/10.5194/hess-18-2449-2014, https://doi.org/10.5194/hess-18-2449-2014, 2014
A. Parvathi, X. Zhong, A. S. Pradeep Ram, and S. Jacquet
Hydrol. Earth Syst. Sci., 18, 1073–1087, https://doi.org/10.5194/hess-18-1073-2014, https://doi.org/10.5194/hess-18-1073-2014, 2014
A. Zlinszky and G. Timár
Hydrol. Earth Syst. Sci., 17, 4589–4606, https://doi.org/10.5194/hess-17-4589-2013, https://doi.org/10.5194/hess-17-4589-2013, 2013
B. Fournier, C. Guenat, G. Bullinger-Weber, and E. A. D. Mitchell
Hydrol. Earth Syst. Sci., 17, 4031–4042, https://doi.org/10.5194/hess-17-4031-2013, https://doi.org/10.5194/hess-17-4031-2013, 2013
Y.-C. Chen
Hydrol. Earth Syst. Sci., 17, 1951–1962, https://doi.org/10.5194/hess-17-1951-2013, https://doi.org/10.5194/hess-17-1951-2013, 2013
A. T. Rezende Filho, S. Furian, R. L. Victoria, C. Mascré, V. Valles, and L. Barbiero
Hydrol. Earth Syst. Sci., 16, 2723–2737, https://doi.org/10.5194/hess-16-2723-2012, https://doi.org/10.5194/hess-16-2723-2012, 2012
Y. Schindler Wildhaber, C. Michel, P. Burkhardt-Holm, D. Bänninger, and C. Alewell
Hydrol. Earth Syst. Sci., 16, 1501–1515, https://doi.org/10.5194/hess-16-1501-2012, https://doi.org/10.5194/hess-16-1501-2012, 2012
K. P. Hilgersom and W. M. J. Luxemburg
Hydrol. Earth Syst. Sci., 16, 345–356, https://doi.org/10.5194/hess-16-345-2012, https://doi.org/10.5194/hess-16-345-2012, 2012
H. Hidayat, B. Vermeulen, M. G. Sassi, P. J. J. F. Torfs, and A. J. F. Hoitink
Hydrol. Earth Syst. Sci., 15, 2717–2728, https://doi.org/10.5194/hess-15-2717-2011, https://doi.org/10.5194/hess-15-2717-2011, 2011
R. Bhamjee and J. B. Lindsay
Hydrol. Earth Syst. Sci., 15, 1009–1021, https://doi.org/10.5194/hess-15-1009-2011, https://doi.org/10.5194/hess-15-1009-2011, 2011
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Short summary
We use water level observations from the CryoSat-2 satellite in combination with a river model of the Brahmaputra River, extracting satellite data over a dynamic river mask derived from Landsat imagery. The novelty of this work is the use of the CryoSat-2 water level observations, collected using a complex spatio-temporal sampling scheme, to calibrate a hydrodynamic river model. The resulting model accurately reproduces water levels, without precise knowledge of river bathymetry.
We use water level observations from the CryoSat-2 satellite in combination with a river model...