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CORDIS - Forschungsergebnisse der EU
CORDIS

Supporting STakeholders for Adaptive, Resilient and Sustainable Water Management

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Description of integrated indicators (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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

Review of existing observational systems (öffnet in neuem Fenster)

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) (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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) (öffnet in neuem Fenster)

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) (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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.).

Veröffentlichungen

Nitrate spatial predictions by means of machine learning to improve groundwater monitoring networks (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: EGU General Assembly 2024, 2024
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: Hsu, S.-C., de Lavenne, A., Andréassian, V., Rabah, A., and Ramos, M.-H.
Veröffentlicht in: EGU General Assembly 2024, 2024
Herausgeber: EGU
DOI: 10.5194/egusphere-egu24-15833

A machine learning application for the development of groundwater vulnerability studies. (öffnet in neuem Fenster)

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

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

Autoren: Gómez-Escalonilla V, Martínez-Santos P, Díaz-Alcaide S, Montero-González E, Martín-Loeches M
Veröffentlicht in: 15th International Conference on Hydroinformatics, 2024
Herausgeber: IWRA

Machine learning as a tool to improve groundwater monitoring networks (öffnet in neuem Fenster)

Autoren: Pacios D, Coleto I, Verzier P, Gómez-Escalonilla V, Martinez-Santos P
Veröffentlicht in: 50th IAH Congress, 2024
Herausgeber: IAH
DOI: 10.1007/s13201-024-02320-1

Modelling regional effects of artificial groundwater recharge in a multilayer aquifer characterized by perched water tables (öffnet in neuem Fenster)

Autoren: Gómez-Escalonilla V, Heredia J, Martínez-Santos P, López-Gutiérrez J, De la Hera-Portillo A
Veröffentlicht in: Hydrological Processes, Ausgabe 38, 2024, ISSN 1099-1085
Herausgeber: Wiley
DOI: 10.1002/hyp.15085

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