Objective
URBAN M2O aims to create solutions to generate the crucial information that is needed to develop and implement risk-based urban water quality management plans at the city scale. Such plans will contribute to achieving sustainable urban water systems with zero pollution impact on human health and the environment. URBAN M2O will achieve this objective by:
1) Developing and benchmarking AI-enhanced, resource-effective monitoring water quality technologies;
2) Developing fit-for-purpose water quality models and harmonized data management systems;
3) Demonstrating open-access urban water digital twins assimilating monitoring data to identify hotspots and prioritize pollution control actions under current and future climate scenarios;
4) Providing tailored guidance to end users and stakeholders for the effective development of urban water quality monitoring and management plans.
Industrial partners will enhance their monitoring techniques with AI methods, benchmarking them against state-of-the-art monitoring approaches for trace organic chemicals, microbial contaminants, and microplastics in all urban water systems, namely drinking water, surface water, bathing water, wastewater effluents, groundwater, urban run-off, and sewer overflows. Monitoring and modelling solutions will be demonstrated in three real and operational case studies, selected to represent different challenges faced by urban water infrastructure. The URBAN M2O solutions will be tailored to stakeholders and end-users’ needs, addressing current and future requirements and challenges, and different resources and data availability.
URBAN M2O will enable urban water managers and regulators to make informed decisions, prioritizing actions to enhance urban water quality, and protect human health, the environment, and biodiversity at the European scale.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technologyenvironmental engineeringwater treatment processeswastewater treatment processes
- natural sciencesearth and related environmental sciencesenvironmental sciencespollution
- natural sciencesbiological sciencesecologyecosystems
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Programme(s)
Call for proposal
(opens in new window) HORIZON-CL6-2024-ZEROPOLLUTION-02
See other projects for this callFunding Scheme
HORIZON-IA - HORIZON Innovation ActionsCoordinator
2800 Kongens Lyngby
Denmark
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Participants (15)
28006 Madrid
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1649 023 Lisboa
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8911 MA Leeuwarden
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01390 Civrieux
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
8413 NN Oudehorne
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
04011 Aprilia
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
75031 Eppingen
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2845 Niel
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
34149 Trieste Ts
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
6020 Innsbruck
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1602 Kbenhavn V
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1030 Bruxelles / Brussel
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2400 Valby
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08930 SANT ADRIA DE BESOS
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31013 CODOGNE
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partners (4)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
8600 Dubendorf
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
8050 Zürich
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
8152 Glattbrugg
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
5000 Odense
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