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CORDIS - Resultados de investigaciones de la UE
CORDIS

Supporting STakeholders for Adaptive, Resilient and Sustainable Water Management

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Description of integrated indicators (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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

Review of existing observational systems (se abrirá en una nueva ventana)

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) (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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) (se abrirá en una nueva ventana)

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) (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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.).

Publicaciones

Nitrate spatial predictions by means of machine learning to improve groundwater monitoring networks (se abrirá en una nueva ventana)

Autores: 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
Publicado en: EGU General Assembly 2024, 2024
Editor: 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 (se abrirá en una nueva ventana)

Autores: Hsu, S.-C., de Lavenne, A., Andréassian, V., Rabah, A., and Ramos, M.-H.
Publicado en: EGU General Assembly 2024, 2024
Editor: EGU
DOI: 10.5194/egusphere-egu24-15833

A machine learning application for the development of groundwater vulnerability studies. (se abrirá en una nueva ventana)

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

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

Autores: Gómez-Escalonilla V, Martínez-Santos P, Díaz-Alcaide S, Montero-González E, Martín-Loeches M
Publicado en: 15th International Conference on Hydroinformatics, 2024
Editor: IWRA

Machine learning as a tool to improve groundwater monitoring networks (se abrirá en una nueva ventana)

Autores: Pacios D, Coleto I, Verzier P, Gómez-Escalonilla V, Martinez-Santos P
Publicado en: 50th IAH Congress, 2024
Editor: IAH
DOI: 10.1007/s13201-024-02320-1

Modelling regional effects of artificial groundwater recharge in a multilayer aquifer characterized by perched water tables (se abrirá en una nueva ventana)

Autores: Gómez-Escalonilla V, Heredia J, Martínez-Santos P, López-Gutiérrez J, De la Hera-Portillo A
Publicado en: Hydrological Processes, Edición 38, 2024, ISSN 1099-1085
Editor: Wiley
DOI: 10.1002/hyp.15085

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