Supporting STakeholders for Adaptive, Resilient and Sustainable Water Management

Livrables

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

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

Review of existing observational systems

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)

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

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

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)

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)

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

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.

Auteurs: García Menéndez, O.; Aguilera Alonso, H.; de la Hera Portillo, A.
Publié dans: XIII Congreso Ibérico de Gestión y Planificación del Agua, 2025, ISBN 978-84-608-2132-8
Éditeur: Fundación Nueva Cultura del Agua

Temporal Scaling Laws for Wetting and Drying in Variably Saturated Soils

Auteurs: Sami Miaari, Stefan J Kollet
Publié dans: AGU24 Annual Meeting, 2024
Éditeur: AGU

Monitoring Long-Term Land Cover Transformations in the Danube Delta using Landsat Satellite Imagery

Auteurs: Albert Scrieciu, Andrei Toma
Publié dans: 2025
Éditeur: 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

Auteurs: Hegdahl, T. J., Engeland, K., Huang, S., Gelati, E., Veie, C.A.
Publié dans: Nordic Hydrological Conference 2025, 2025
Éditeur: 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

Auteurs: Avila, L., Kollet, S., de Lavenne, A., and Ramos, M.-H.
Publié dans: AGU24 Annual Meeting, 2024
Éditeur: AGU

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

Auteurs: Engeland, K., Ayrault, N., Gelati, E., Hegdahl, T. J., Huang, S., and Veie, C. A.
Publié dans: 8th Conference on Modelling Hydrology, Climate and Land surface processes 2025, 2025
Éditeur: 8th Conference on Modelling Hydrology, Climate and Land surface processes 2025

"Climate change impacts on reservoir operations and water availability &#8211; a case study from Drammen river basin in Norway&#160;"

Auteurs: Kolbjorn Engeland, Emiliano Gelati, Trine Jahr Hegdahl, Shaochun Huang, Carl Andreas Veie
Publié dans: 2025
Éditeur: Copernicus GmbH
DOI: 10.5194/EGUSPHERE-EGU25-15110

RIBASIM Danube: Modeling water allocation in the Danube Basin with a focus on low-flow conditions

Auteurs: Tamara Graf, Martin Glas, Fatima Monji, Mario Klösch, Max Preiml, Judith ter Maat, Andrei Toma, Albert Scrieciu, Helmut Habersack
Publié dans: 2025
Éditeur: Copernicus GmbH
DOI: 10.5194/EGUSPHERE-EGU25-6640

Implications of incorporating anthropogenic water use in the hydrological model simulations of the Rhine basin

Auteurs: Devi Purnamasari, Willem van Verseveld, Joost Buitink, Frederiek Sperna Weiland, Brendan Dalmijn, Adriaan Teuling, Albrecht Weerts
Publié dans: 2025
Éditeur: Copernicus GmbH
DOI: 10.5194/EGUSPHERE-EGU25-15753

Nitrate spatial predictions by means of machine learning to improve groundwater monitoring networks

Auteurs: 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
Publié dans: EGU General Assembly 2024, 2024
Éditeur: 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

Auteurs: Hsu, S.-C., de Lavenne, A., Andréassian, V., Rabah, A., and Ramos, M.-H.
Publié dans: EGU General Assembly 2024, 2024
Éditeur: EGU
DOI: 10.5194/egusphere-egu24-15833

A machine learning application for the development of groundwater vulnerability studies.

Auteurs: Gómez-Escalonilla V, Martínez-Santos P, De la Hera-Portillo A, Díaz-Alcaide S, Montero E, Martín-Loeches M
Publié dans: 15th International Conference on Hydroinformatics, 2024
Éditeur: IWRA
DOI: 10.3850/iahr-hic2483430201-378

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

Auteurs: Gómez-Escalonilla V, Martínez-Santos P, Díaz-Alcaide S, Montero-González E, Martín-Loeches M
Publié dans: 15th International Conference on Hydroinformatics, 2024
Éditeur: IWRA

Assessing water management vulnerability under future climate scenarios: the case of the reservoirs in the Seine River basin

Auteurs: Julie Collignan, Maria-Helena Ramos, Alban de Lavenne, Charlotte Barbé, Philippe Riboust
Publié dans: 2025
Éditeur: 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

Auteurs: Amal Rabah, Alban de Lavenne, Maria-Helena Ramos
Publié dans: 2025
Éditeur: Copernicus GmbH
DOI: 10.5194/EGUSPHERE-EGU25-9559

A multi-reservoir machine learning model for forecasting reservoir storage at monthly and seasonal timescales

Auteurs: Helen Baron, Rishma Chengot, Nathan Rickards, Virginie Keller
Publié dans: 2025
Éditeur: 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

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

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

Auteurs: 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.
Publié dans: Nordic Hydrological Conference 2025, 2025
Éditeur: Nordic Hydrological Conference 2025

Machine learning as a tool to improve groundwater monitoring networks

Auteurs: Pacios D, Coleto I, Verzier P, Gómez-Escalonilla V, Martinez-Santos P
Publié dans: 50th IAH Congress, 2024
Éditeur: IAH
DOI: 10.1007/s13201-024-02320-1

Extra constraint on actual evaporation in a semi-distributed conceptual model to improve model physical realism

Auteurs: Shu-Chen Hsu, Alban de Lavenne, Charles Perrin, Vazken Andréassian
Publié dans: Hydrological Sciences Journal, Numéro 70, 2025, ISSN 0262-6667
Éditeur: Informa UK Limited
DOI: 10.1080/02626667.2025.2468846

A Machine Learning Approach to Map the Vulnerability of Groundwater Resources to Agricultural Contamination

Auteurs: Victor Gómez-Escalonilla, Pedro Martínez-Santos
Publié dans: Hydrology, Numéro 11, 2025, ISSN 2306-5338
Éditeur: 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

Auteurs: Leandro Avila, Alban de Lavenne, Maria-Helena Ramos, Stefan Kollet
Publié dans: Water Resources Management, Numéro 39, 2025, ISSN 0920-4741
Éditeur: 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

Auteurs: Gómez-Escalonilla V, Heredia J, Martínez-Santos P, López-Gutiérrez J, De la Hera-Portillo A
Publié dans: Hydrological Processes, Numéro 38, 2024, ISSN 1099-1085
Éditeur: Wiley
DOI: 10.1002/hyp.15085

Identifying irrigated areas using land surface temperature and hydrological modelling: application to the Rhine basin

Auteurs: Devi Purnamasari, Adriaan J. Teuling, Albrecht H. Weerts
Publié dans: Hydrology and Earth System Sciences, Numéro 29, 2025, ISSN 1607-7938
Éditeur: Copernicus GmbH
DOI: 10.5194/HESS-29-1483-2025

A machine learning approach to site groundwater contamination monitoring wells

Auteurs: V. Gómez-Escalonilla, E. Montero-González, S. Díaz-Alcaide, M. Martín-Loeches, M. Rodríguez del Rosario, P. Martínez-Santos
Publié dans: Applied Water Science, Numéro 14, 2024, ISSN 2190-5487
Éditeur: 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

Auteurs: Pedro Martínez-Santos, Víctor Gómez-Escalonilla, Silvia Díaz-Alcaide, Manuel Rodríguez del Rosario, Héctor Aguilera
Publié dans: Applied Water Science, Numéro 15, 2025, ISSN 2190-5487
Éditeur: Springer Science and Business Media LLC
DOI: 10.1007/S13201-025-02572-5

Livrables

Publications

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