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CORDIS - EU research results
CORDIS

Supporting STakeholders for Adaptive, Resilient and Sustainable Water Management

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Description of integrated indicators (opens in new window)

A report describing a set of climate risk indicators at the river basin level that will help to better monitor, evaluate and assess developments in water resources availability and impacts of climate change.

Gaps analysis of existing tools (opens in new window)

A set of reports of the benchmarking of existing operational models within the 7 Hubs against identified stakeholder requirements.

Review of existing observational systems (opens in new window)

This report consists of an inventory of existing data information systems for water resources management, including data sets that are currently used by the river basin hubs as well as new developments at EU or global level.

Dissemination and communication strategy plan (2nd release) (opens in new window)

Drafting of the Dissemination Strategy Plan (DSP), to ensure the coherent streamlining of the project outputs into targeted high-quality dissemination products, and their dissemination to specific target audiences.

Needs assessment stakeholders (opens in new window)

After setting up the stakeholder communities, the needs and knowledge questions need to be identified for each RBO and will be reported as an important milestone.WP2 (data services) and WP3 (modelling tools) will take up the results of this assessment.

Stakeholder engagement work plan (opens in new window)

To facilitate the stakeholder engagement, a work plan will be developed. This work plan will describe the activities and result for each task, and expected input of the participants. The process of developing the work plan also serves to set up and strengthen the collaboration, within and between the RBO’s and the STARS4Water consortium.

Dissemination and communication strategy plan (1st release) (opens in new window)

Drafting of the Dissemination Strategy Plan (DSP), to ensure the coherent streamlining of the project outputs into targeted high-quality dissemination products, and their dissemination to specific target audiences.

Metadata portal (1st release) (opens in new window)

A metadata portal for unlocking EU and national data sets and making data sets accessible in the context of water resources planning. Data sets include data on meteorological, hydrological, basin features, water governance and water infrastructure.

Stars4Water website (opens in new window)

Development and maintenance of the Stars4Water website (to be maintained for 5 more years after the project ends, and used to disseminate updates on activities, deliverables, interesting news/posts, events, etc.).

Publications

Evaluating the quantitative status of water bodies applied to the Duero River Basin. Development of a groundwater availability index.

Author(s): García Menéndez, O.; Aguilera Alonso, H.; de la Hera Portillo, A.
Published in: XIII Congreso Ibérico de Gestión y Planificación del Agua, 2025, ISBN 978-84-608-2132-8
Publisher: Fundación Nueva Cultura del Agua

Temporal Scaling Laws for Wetting and Drying in Variably Saturated Soils

Author(s): Sami Miaari, Stefan J Kollet
Published in: AGU24 Annual Meeting, 2024
Publisher: AGU

Monitoring Long-Term Land Cover Transformations in the Danube Delta using Landsat Satellite Imagery (opens in new window)

Author(s): Albert Scrieciu, Andrei Toma
Published in: 2025
Publisher: Copernicus GmbH
DOI: 10.5194/EGUSPHERE-EGU25-16549

The impact of Climate change on Water stress in a highly regulated River: Sensitivity to Changes in ENergy Demand, Water Use and Regulations

Author(s): Hegdahl, T. J., Engeland, K., Huang, S., Gelati, E., Veie, C.A.
Published in: Nordic Hydrological Conference 2025, 2025
Publisher: Nordic Hydrological Conference 2025

Integrating GRACE and ERA5-Land with simulations to estimate monthly groundwater table depth anomalies based on Random Forest and LSTM networks over the Seine River Basin

Author(s): Avila, L., Kollet, S., de Lavenne, A., and Ramos, M.-H.
Published in: AGU24 Annual Meeting, 2024
Publisher: AGU

Climate change impacts on hydropower production and water availability in the Drammen river basin in Norway

Author(s): Engeland, K., Ayrault, N., Gelati, E., Hegdahl, T. J., Huang, S., and Veie, C. A.
Published in: 8th Conference on Modelling Hydrology, Climate and Land surface processes 2025, 2025
Publisher: 8th Conference on Modelling Hydrology, Climate and Land surface processes 2025

"Climate change impacts on reservoir operations and water availability – a case study from Drammen river basin in Norway " (opens in new window)

Author(s): Kolbjorn Engeland, Emiliano Gelati, Trine Jahr Hegdahl, Shaochun Huang, Carl Andreas Veie
Published in: 2025
Publisher: Copernicus GmbH
DOI: 10.5194/EGUSPHERE-EGU25-15110

RIBASIM Danube: Modeling water allocation in the Danube Basin with a focus on low-flow conditions (opens in new window)

Author(s): Tamara Graf, Martin Glas, Fatima Monji, Mario Klösch, Max Preiml, Judith ter Maat, Andrei Toma, Albert Scrieciu, Helmut Habersack
Published in: 2025
Publisher: Copernicus GmbH
DOI: 10.5194/EGUSPHERE-EGU25-6640

Implications of incorporating anthropogenic water use in the hydrological model simulations of the Rhine basin (opens in new window)

Author(s): Devi Purnamasari, Willem van Verseveld, Joost Buitink, Frederiek Sperna Weiland, Brendan Dalmijn, Adriaan Teuling, Albrecht Weerts
Published in: 2025
Publisher: Copernicus GmbH
DOI: 10.5194/EGUSPHERE-EGU25-15753

Nitrate spatial predictions by means of machine learning to improve groundwater monitoring networks (opens in new window)

Author(s): Gómez-Escalonilla V, Martínez-Santos P, Pacios D, Ruíz-Álvarez L, Díaz-Alcaide S, Montero-González E, Martín-Loeches M, De la Hera-Portillo A, Aguilera H
Published in: EGU General Assembly 2024, 2024
Publisher: European Geophysical Union
DOI: 10.5194/EGUSPHERE-EGU24-10066

Better mapping of groundwater-surface water exchanges over the Seine River catchment in a surface hydrological model (opens in new window)

Author(s): Hsu, S.-C., de Lavenne, A., Andréassian, V., Rabah, A., and Ramos, M.-H.
Published in: EGU General Assembly 2024, 2024
Publisher: EGU
DOI: 10.5194/egusphere-egu24-15833

A machine learning application for the development of groundwater vulnerability studies. (opens in new window)

Author(s): Gómez-Escalonilla V, Martínez-Santos P, De la Hera-Portillo A, Díaz-Alcaide S, Montero E, Martín-Loeches M
Published in: 15th International Conference on Hydroinformatics, 2024
Publisher: IWRA
DOI: 10.3850/iahr-hic2483430201-378

GIS-based machine learning applications as decision support systems to enhance groundwater monitoring networks.

Author(s): Gómez-Escalonilla V, Martínez-Santos P, Díaz-Alcaide S, Montero-González E, Martín-Loeches M
Published in: 15th International Conference on Hydroinformatics, 2024
Publisher: IWRA

Assessing water management vulnerability under future climate scenarios: the case of the reservoirs in the Seine River basin (opens in new window)

Author(s): Julie Collignan, Maria-Helena Ramos, Alban de Lavenne, Charlotte Barbé, Philippe Riboust
Published in: 2025
Publisher: Copernicus GmbH
DOI: 10.5194/EGUSPHERE-EGU25-8618

Toward understanding transport and chloride dynamics at the catchment scale by combining StorAge Selection functions and a hydrological model (opens in new window)

Author(s): Amal Rabah, Alban de Lavenne, Maria-Helena Ramos
Published in: 2025
Publisher: Copernicus GmbH
DOI: 10.5194/EGUSPHERE-EGU25-9559

A multi-reservoir machine learning model for forecasting reservoir storage at monthly and seasonal timescales (opens in new window)

Author(s): Helen Baron, Rishma Chengot, Nathan Rickards, Virginie Keller
Published in: 2025
Publisher: Copernicus GmbH
DOI: 10.5194/EGUSPHERE-EGU25-9347

Identification of socio-economic scenarios through participatory processes for improving water management in the Duero River Basin

Author(s): De la Hera Portillo, A.; García Menéndez, O.; Moreno Merino, L.; Aguilera Alonso, H.; Martínez Santos, P.; Rodríguez del Rosario, M.
Published in: XIII Congreso Ibérico de Gestión y Planificación del Agua., 2025, ISBN 978-84-608-2132-8
Publisher: Fundación Nueva Cultura del Agua

Enhancing Ribasim for reservoir operations: validating a new version with Canteen and expanding to the Drammen basin

Author(s): Monji, F., Engeland, K., Gijsbers, P., Hegdahl, T.J., Kucharski, J., Visser, M., de Koning, B., Pronk. M., ter Maart, J., Duel, H., Hisdal, H.
Published in: Nordic Hydrological Conference 2025, 2025
Publisher: Nordic Hydrological Conference 2025

Machine learning as a tool to improve groundwater monitoring networks (opens in new window)

Author(s): Pacios D, Coleto I, Verzier P, Gómez-Escalonilla V, Martinez-Santos P
Published in: 50th IAH Congress, 2024
Publisher: IAH
DOI: 10.1007/s13201-024-02320-1

Extra constraint on actual evaporation in a semi-distributed conceptual model to improve model physical realism (opens in new window)

Author(s): Shu-Chen Hsu, Alban de Lavenne, Charles Perrin, Vazken Andréassian
Published in: Hydrological Sciences Journal, Issue 70, 2025, ISSN 0262-6667
Publisher: Informa UK Limited
DOI: 10.1080/02626667.2025.2468846

A Machine Learning Approach to Map the Vulnerability of Groundwater Resources to Agricultural Contamination (opens in new window)

Author(s): Victor Gómez-Escalonilla, Pedro Martínez-Santos
Published in: Hydrology, Issue 11, 2025, ISSN 2306-5338
Publisher: MDPI
DOI: 10.3390/HYDROLOGY11090153

Estimation of Monthly Water Table Depth Anomalies Based on the Integration of GRACE and ERA5-Land with Large-Scale Simulations Using Random Forest and LSTM Networks (opens in new window)

Author(s): Leandro Avila, Alban de Lavenne, Maria-Helena Ramos, Stefan Kollet
Published in: Water Resources Management, Issue 39, 2025, ISSN 0920-4741
Publisher: Springer Science and Business Media LLC
DOI: 10.1007/S11269-025-04097-7

Modelling regional effects of artificial groundwater recharge in a multilayer aquifer characterized by perched water tables (opens in new window)

Author(s): Gómez-Escalonilla V, Heredia J, Martínez-Santos P, López-Gutiérrez J, De la Hera-Portillo A
Published in: Hydrological Processes, Issue 38, 2024, ISSN 1099-1085
Publisher: Wiley
DOI: 10.1002/hyp.15085

Identifying irrigated areas using land surface temperature and hydrological modelling: application to the Rhine basin (opens in new window)

Author(s): Devi Purnamasari, Adriaan J. Teuling, Albrecht H. Weerts
Published in: Hydrology and Earth System Sciences, Issue 29, 2025, ISSN 1607-7938
Publisher: Copernicus GmbH
DOI: 10.5194/HESS-29-1483-2025

A machine learning approach to site groundwater contamination monitoring wells (opens in new window)

Author(s): V. Gómez-Escalonilla, E. Montero-González, S. Díaz-Alcaide, M. Martín-Loeches, M. Rodríguez del Rosario, P. Martínez-Santos
Published in: Applied Water Science, Issue 14, 2024, ISSN 2190-5487
Publisher: Springer Science and Business Media LLC
DOI: 10.1007/S13201-024-02320-1

A surrogate approach to model groundwater level in time and space based on tree regressors (opens in new window)

Author(s): Pedro Martínez-Santos, Víctor Gómez-Escalonilla, Silvia Díaz-Alcaide, Manuel Rodríguez del Rosario, Héctor Aguilera
Published in: Applied Water Science, Issue 15, 2025, ISSN 2190-5487
Publisher: Springer Science and Business Media LLC
DOI: 10.1007/S13201-025-02572-5

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