Articles | Volume 21, issue 1
https://doi.org/10.5194/os-21-515-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-21-515-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Anthropogenic pressures driving the salinity intrusion in the Guadalquivir estuary: insights from 1D numerical simulations
Department of Applied Physics, Faculty of Marine and Environmental Sciences, Marine Research Institute (INMAR), International Campus of Excellence of the Sea (CEI·MAR), University of Cadiz, Puerto Real, 11510 Cadiz, Spain
Juan J. Gomiz-Pascual
Department of Applied Physics, Faculty of Marine and Environmental Sciences, Marine Research Institute (INMAR), International Campus of Excellence of the Sea (CEI·MAR), University of Cadiz, Puerto Real, 11510 Cadiz, Spain
Marina Bolado-Penagos
Department of Applied Physics, Faculty of Marine and Environmental Sciences, Marine Research Institute (INMAR), International Campus of Excellence of the Sea (CEI·MAR), University of Cadiz, Puerto Real, 11510 Cadiz, Spain
Sabine Sauvage
Centre de Recherche sur la Biodiversité et l'Environnement (CRBE), Université de Toulouse, CNRS, IRD, Toulouse INP, Université Toulouse 3 – Paul Sabatier (UT3), Toulouse, France
José M. Sánchez-Pérez
Centre de Recherche sur la Biodiversité et l'Environnement (CRBE), Université de Toulouse, CNRS, IRD, Toulouse INP, Université Toulouse 3 – Paul Sabatier (UT3), Toulouse, France
Miguel Bruno
Department of Applied Physics, Faculty of Marine and Environmental Sciences, Marine Research Institute (INMAR), International Campus of Excellence of the Sea (CEI·MAR), University of Cadiz, Puerto Real, 11510 Cadiz, Spain
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Thomas Legay, Yoann Aubert, Julien Verdonck, Jérémy Guilhen, Adrien Paris, Jean-Michel Martinez, Sabine Sauvage, Pankyes Datok, Vanessa Dos Santos, José Miquel Sanchez-Perez, Stéphane Bruxelles, Emeric Lavergne, and Franck Mercier
Proc. IAHS, 385, 477–484, https://doi.org/10.5194/piahs-385-477-2024, https://doi.org/10.5194/piahs-385-477-2024, 2024
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Water resources management traditionally relies on the use of in situ data. Spatial altimetry data is a new source of data for water resources monitoring. Through two projects, various partners (BRLi, IRD, CNES, CLS, CNRS, CENEAU) developed a method based on the combination of hydrological models, in-situ and satellite data to enhance the use of spatial altimetry data for water resources management. This article proposes to evaluate the implemented method.
Elisabeth Brochet, Youen Grusson, Sabine Sauvage, Ludovic Lhuissier, and Valérie Demarez
Hydrol. Earth Syst. Sci., 28, 49–64, https://doi.org/10.5194/hess-28-49-2024, https://doi.org/10.5194/hess-28-49-2024, 2024
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This study aims to take into account irrigation withdrawals in a watershed model. The model we used combines agriculture and hydrological modeling. Two different crop models were compared, the first based on air temperature and the second based on Sentinel-2 satellite data. Results show that including remote sensing data leads to better emergence dates. Both methods allow us to simulate the daily irrigation withdrawals and downstream flow with a good accuracy, especially during low-flow periods.
Iván M. Parras-Berrocal, Rubén Vázquez, William Cabos, Dimitry V. Sein, Oscar Álvarez, Miguel Bruno, and Alfredo Izquierdo
Ocean Sci., 19, 941–952, https://doi.org/10.5194/os-19-941-2023, https://doi.org/10.5194/os-19-941-2023, 2023
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Global warming may strongly affect dense water formation in the eastern Mediterranean, potentially impacting basin circulation and water properties. We find that at the end of the century dense water formation is reduced by 75 % for the Adriatic, 84 % for the Aegean, and 83 % for the Levantine Sea. This reduction is caused by changes in the temperature and salinity of surface and intermediate waters, which strengthen the vertical stratification, hampering deep convection.
Jérémy Guilhen, Ahmad Al Bitar, Sabine Sauvage, Marie Parrens, Jean-Michel Martinez, Gwenael Abril, Patricia Moreira-Turcq, and José-Miguel Sánchez-Pérez
Biogeosciences, 17, 4297–4311, https://doi.org/10.5194/bg-17-4297-2020, https://doi.org/10.5194/bg-17-4297-2020, 2020
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The quantity of greenhouse gases (GHGs) released to the atmosphere by human industries and agriculture, such as carbon dioxide (CO2) and nitrous oxide (N2O), has been constantly increasing for the last few decades.
This work develops a methodology which makes consistent both satellite observations and modelling of the Amazon basin to identify and quantify the role of wetlands in GHG emissions. We showed that these areas produce non-negligible emissions and are linked to land use.
Ling Zhang, Jianzhong Lu, Xiaoling Chen, Dong Liang, Xiaokang Fu, Sabine Sauvage, and José-Miguel Sanchez Perez
Hydrol. Earth Syst. Sci., 21, 5847–5861, https://doi.org/10.5194/hess-21-5847-2017, https://doi.org/10.5194/hess-21-5847-2017, 2017
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To solve the problem of estimating and verifying stream flow without direct observation data, we estimated stream flow in ungauged zones by coupling a hydrological model with a hydrodynamic model, using the Poyang Lake Basin as a test case. To simulate the stream flow of the ungauged zone, we built a SWAT model for the ungauged zone and verified the ungauged stream flow by comparing the two lake model scenarios with and without considering the ungauged stream flow.
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Yuxi Wu, Enjin Zhao, Xiwen Li, and Shiyou Zhang
Ocean Sci., 21, 473–495, https://doi.org/10.5194/os-21-473-2025, https://doi.org/10.5194/os-21-473-2025, 2025
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A comprehensive sand transfer model is proposed to study sediment dynamics in the lower reaches of the Changhua River on the island of Hainan. It captures the complex relationship between wave action, ocean currents, and sediment transport. Validated on the basis of on-site measurements, the model reveals significant sediment deposits which are significantly affected by coastal ocean currents and geological structures.
Bouke Biemond, Wouter M. Kranenburg, Ymkje Huismans, Huib E. de Swart, and Henk A. Dijkstra
Ocean Sci., 21, 261–281, https://doi.org/10.5194/os-21-261-2025, https://doi.org/10.5194/os-21-261-2025, 2025
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We study salinity in estuaries consisting of a network of channels. To this end, we develop a model that computes the flow and salinity in such systems. We use the model to quantify the mechanisms by which salt is transported into estuarine networks, the response to changes in river discharge, and the impact of depth changes. Results show that when changing the depth of channels, the effects on salt intrusion into other channels in the network can be larger than the effect on the channel itself.
Clovis Thouvenin-Masson, Jacqueline Boutin, Vincent Échevin, Alban Lazar, and Jean-Luc Vergely
Ocean Sci., 20, 1547–1566, https://doi.org/10.5194/os-20-1547-2024, https://doi.org/10.5194/os-20-1547-2024, 2024
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Stefan Hagemann, Thao Thi Nguyen, and Ha Thi Minh Ho-Hagemann
Ocean Sci., 20, 1457–1478, https://doi.org/10.5194/os-20-1457-2024, https://doi.org/10.5194/os-20-1457-2024, 2024
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Robert Lepper, Leon Jänicke, Ingo Hache, Christian Jordan, and Frank Kösters
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Zhongyuan Lin, Guang Zhang, Huazhi Zou, and Wenping Gong
Ocean Sci., 20, 181–199, https://doi.org/10.5194/os-20-181-2024, https://doi.org/10.5194/os-20-181-2024, 2024
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Julio Salcedo-Castro, Antonio Olita, Freddy Saavedra, Gonzalo S. Saldías, Raúl C. Cruz-Gómez, and Cristian D. De la Torre Martínez
Ocean Sci., 19, 1687–1703, https://doi.org/10.5194/os-19-1687-2023, https://doi.org/10.5194/os-19-1687-2023, 2023
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Qiyan Ji, Lei Han, Lifang Jiang, Yuting Zhang, Minghong Xie, and Yu Liu
Ocean Sci., 19, 1561–1578, https://doi.org/10.5194/os-19-1561-2023, https://doi.org/10.5194/os-19-1561-2023, 2023
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Accurate wave forecasts are essential to marine engineering safety. The research designs a model with combined signal decomposition and multiple neural network algorithms to predict wave parameters. The hybrid wave prediction model has good robustness and generalization ability. The contribution of the various algorithms to the model prediction skill was analyzed by the ablation experiments. This work provides a neoteric view of marine element forecasting based on artificial intelligence.
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Short summary
The present study utilizes a 1D hydrodynamic model to examine the impact of anthropogenic pressures on saline intrusion in the Guadalquivir estuary. Water extraction by human activities has led to elevated salinity levels throughout the estuary, thereby disrupting its natural state. A more profound understanding of these effects is essential for the protection of the estuarine ecosystems.
The present study utilizes a 1D hydrodynamic model to examine the impact of anthropogenic...