Supporting STakeholders for Adaptive, Resilient and Sustainable Water Management

Informations projet

STARS4Water

N° de convention de subvention: 101059372

DOI

10.3030/101059372

Date de signature de la CE 7 Juin 2022

Date de début 1 Octobre 2022

Date de fin 30 Septembre 2026

Financé au titre de

• Food, Bioeconomy Natural Resources, Agriculture and Environment

Coût total

€ 4 584 730,00

Contribution de l’UE

€ 4 580 979,00

Coordonné par

STICHTING DELTARES
Netherlands

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Data sets, microdata, etc (4)

Metadata portal (2nd 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.

Data sets on scenario narratives

Data sets on the scenario narratives about possible future circumstances for each river basin related to future climatic, socio-economic and policy developments

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.

Metadata portal (3rd 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.

Documents, reports (16)

Dissemination and communication strategy plan (3rd 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.

Description of integrated indicators

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.

Data-driven water resources models

A report detailing assessments of how data-driven models could be used to address the identified priority improvement areas based on the results of model development and testing within the Hubs.

Gaps analysis of existing tools

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

Added value of data-driven models and data services

The added value of new and improved models will be qualitatively and quantitatively evaluated in a report by comparing the outcome of the applications of the different models.

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.

Report on next generation water resources data services

This report describes a set of newly developed data services to support water resources management at the river basin scale. The services are built from existing data sets through data assimilation and data fusion techniques.

Recommendations to bridging the gap in modelling process understanding

A report containing recommendations on how state-of-the-art process-based model approaches and novel modelling concepts could be used to address the identified priority improvement areas within the Hubs.

Workshop report on capacity building for using the models, services and dashboards

To promote sustainable uptake of results we will organize a workshop to clarify the needs for capacity building amongst users for using the various project tools.

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.

Options for multi-scale integration of water resources models

A report presenting options for how selected pan-European models could be used to address the identified priority improvement areas within the Hubs, including a demonstration of how model outputs can be integrated across scale to improve content and capabilities.

Policy brief on unlocking global data for EU water policies

Policy brief based on the findings on the project, dedicated to policy managers.

Water scenarios for river basin hubs

Being able to react in time on changing circumstances due to climate change and socio-economic changes, each RBO needs to prepare on the future. Scenario’s on water availability (“to much or to little”) play an essential role in this and assessment. And developing them in a co-creative process, with all the partners involved in the RBO, is an opportunity to raise awareness and acceptance for the challenges ahead and the action perspectives.

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.

Data Management Plan (2)

Data Management Plan (1st release)

The Data Management Plan contains an overview of all data sets used and generated in projects, any IPR associated with the data sets, the dataflow between tasks and WPs, the procedures to make data publicly available through data repositories, and personal data. All data will be handled in accordance with the regulation EU 2016/679 (also applicable to the non-EU project participants from Norway and the United Kingdom) on the processing of personal data. The Data Manager will be responsible for the Data Management.The will be updated during the lifetime of the project.

Data Management Plan (2nd release)

The Data Management Plan contains an overview of all data sets used and generated in projects, any IPR associated with the data sets, the dataflow between tasks and WPs, the procedures to make data publicly available through data repositories, and personal data. All data will be handled in accordance with the regulation EU 2016/679 (also applicable to the non-EU project participants from Norway and the United Kingdom) on the processing of personal data. The Data Manager will be responsible for the Data Management.The will be updated during the lifetime of the project.

Other (1)

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

Conference proceedings (20)

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

Supporting informed decision making by co-creation of a policy dashboard for the Drammen river basin

Auteurs: ter Maat, J., Monji, F., Hermawan, V., Duel, H., Hegdahl, T.J., Engeland, K., Hisdal, H.
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 – a case study from Drammen river basin in Norway "

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

Peer reviewed articles (8)

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

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, 2024, ISSN 2190-5495
Éditeur: Springer
DOI: 10.1007/S13201-025-02572-5

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