| projects-001 |
832876 |
aqua3S |
Enhancing Standardisation strategies to integrate innovative technologies for Safety and Security in existing water networks |
EU Horizon 2020 |
H2020-SU-DRS03-2018-2019-2020 |
SU-DRS03-2018-2019-2020 - Pre-normative research and demonstration for disaster-resilient societies |
2019-09-01 |
2022-12-31 |
Completed |
€ 6 881 508,75 |
aqua3S combines novel technologies in water safety and security, aiming to standardize existing sensor technologies complemented by state-of-the-art detection mechanisms. Hence, it proposes innovative solutions to water facilities and responsible authorities in order to detect and tackle water-related crises in a timely manner. On the one hand, sensor networks are deployed in water supply networks and sources, supported by complex sensors for enhanced detection; on the other hand, sensor measurements are supported by videos from Unmanned Aerial Vehicles (UAVs), satellite images and social media observations from citizens that report low-quality water in their area (e.g. by colorization); introducing this way a bottom-up approach which raises social awareness and, also, promotes interactive knowledge sharing. Semantic representation and data fusion provide intelligent DSS alerts and messages to the public through first responders’ mediums. The proposed technical solution is designed to offer a very effective detection system, taking into account the cost of the aqua3S platform and target at a very high return-on-investment ratio. |
https://cordis.europa.eu/project/id/832876/results |
Urban water' |
| projects-002 |
101004157 |
WQeMS |
Copernicus Assisted Lake Water Quality Emergency Monitoring Service |
EU Horizon 2020 |
H2020-SPACE-2020 |
LC-SPACE-18-EO-2020 - Copernicus evolution: Research activities in support of the evolution of the Copernicus services |
2021-01-01 |
2023-06-30 |
Completed |
€ 1 500 506,25 |
WQeMS focuses its activities on the monitoring of lakes with the aim to provide an operational Water Quality Emergency Monitoring Service, which enhances our ability to deliver drinking water in all EU member states. The project exploits Sentinel satellite data for quality monitoring at a finer spatial resolution level, following validated processes with in situ data. WQeMS provides extensive information about water quality by building a multi-temporal and high spatial resolution monitoring framework. The goal is the optimization of the use of resources by gaining access to frequent acquired, wide covering and local accurate water-status information, by which citizens gain a deeper insight and confidence for selected key quality elements of the ‘water we drink’. The project addresses slow evolving phenomena such as geogenic or anthropogenic release of potentially polluting elements that can contaminate freshwater reservoirs, but also the detection of seasonal and annual changes in submerged aquatic vegetation in shallow waters, which is of high value as a quality indicator. The role of MKLab/M4D is to monitor fast evolving phenomena (extreme events), such as algal blooms or flash floods that can spill debris and pollutants into lakes, using Copernicus data and fusing with crowdsourced data when possible. |
https://cordis.europa.eu/project/id/101004157 |
Lake', 'Water reservoir' |
| projects-003 |
883484 |
PathoCERT |
Pathogen Contamination Emergency Response Technologies |
EU Horizon 2020 |
H2020-SU-DRS02-2018-2019-2020 |
SU-DRS02-2018-2019-2020 - Technologies for first responders |
2020-09-01 |
2024-02-29 |
Completed |
€ 7 158 393,75 |
The overall objective of the PathoCERT project is to strengthen the coordination capability of the first responders in handling waterborne pathogen contamination events, allowing the rapid and accurate detection of pathogens, improving their situational awareness and their ability to control and mitigate emergency situations involving waterborne pathogens. To achieve this objective, the project researches and demonstrates Pathogen Contamination Emergency Response Technologies (PathoCERT), a collection of novel, cost-effective and easy-to-use technologies, tools and guidelines (i.e., wearable sensors, augmented reality, tactile interfaces, incidence management system, rapid water quality sensors, autonomous drones, satellite analysis, social media analysis, threat assessment tool, digital twins), which are field-validated by the first responders. |
https://cordis.europa.eu/project/id/883484 |
Urban water' |
| projects-004 |
101004152 |
CALLISTO |
Copernicus Artificial Intelligence Services and data fusion with other distributed data sources and processing at the edge to support DIAS and HPC infrastructures |
EU Horizon 2020 |
H2020-DT-SPACE-25-EO-2020 |
DT-SPACE-25-EO-2020 - Big data technologies and Artificial Intelligence for Copernicus |
2021-01-01 |
2023-12-31 |
Completed |
€ 4 152 453,75 |
CALLISTO project integrates Copernicus data, already indexed in DIAS platforms such as ONDA-DIAS, utilising High Performance Computing infrastructures for enhanced scalability when needed. Complementary distributed data sources involve Galileo positioning data, visual content from UAVs, Web and social media data linking them with open geospatial data, in-situ sensor data. On top of these data sources, AI methods are applied to extract meaningful knowledge such as concepts, changes, activities, events, 3D-models, videos and animations of the user community. AI methods are also executed at the edge, offering enhanced scalability and timely services. The analysis of the extracted knowledge is performed in a semantic way and the associated analytics are delivered to the end users in non-traditional interfaces, including Augmented Reality, Virtual Reality and Mixed Reality in general. Data fusion among several types of data sources is provided on-demand, based on the end user requirements. The AI methods are trained to offer new virtual and augmented reality applications to water utility operators, journalists for the media sector, EU agriculture and CAP policymakers, and security agencies. |
https://cordis.europa.eu/project/id/101004152 |
Urban water' |
| projects-005 |
101130544 |
ThinkingEarth |
Copernicus Foundation Models for a Thinking Earth |
HORIZON |
HORIZON-EUSPA-2022-SPACE |
HORIZON-EUSPA-2022-SPACE-02-55 - Large-scale Copernicus data uptake with AI and HPC |
2024-01-01 |
2026-12-31 |
On going |
€ 2 999 875,00 |
ThinkingEarth views the Earth as a complex unified and interconnected system. To harness the power of Artificial Intelligence (AI), cutting-edge techniques such as deep learning, causality, eXplainable AI, and physics-aware Machine Learning are used. Predictive abilities of Self-Supervised Learning and Graph Neural Networks to develop task-agnostic Copernicus Foundation Models and a Graph representation model of the Earth are leveraged. The potential of these assets are demonstrated through small-scale downstream Spotlight Applications, as well as large-scale use cases that integrate distributed industrial and user non-EO datasets. These use cases address ambitious problems with high socio-environmental impact and new business growth opportunities, such as accelerating Europe’s clean energy transition and independence from volatile fossil fuels, understanding Earth’s processes by modelling causal Earth system teleconnections, and assessing and modelling the impact of current and future Climate emergency in biodiversity and food security. The “Biodiversity monitoring in urban environment” use case focuses on the development of AI solutions for urban biodiversity monitoring. This particularly involves leveraging Deep Learning methods for downscaling to enhance the spatial resolution of Earth Observation data such as Sentinel-1 and Sentinel-2 which will be expanded with the use of the Copernicus Foundation Models of ThinkingEarth, enabling more frequent and comprehensive monitoring of biodiversity green and/or blue assets at a city scale. By integrating/fusing spatiotemporal Copernicus satellite data and Copernicus core services products, as well as in-situ and geospatial information. The aim is to create database and models capable of accurately mapping and monitoring various aspects of urban ecosystems according to user needs, such as plant species identification, vegetation health assessment, tree height characterization, and urban water body monitoring. Through ThinkingEarth, also another aims are to make biodiversity monitoring more accessible and scalable for cities, while also facilitating the deployment of tailored ecosystem services for sustainable urban development. |
https://cordis.europa.eu/project/id/101130544 |
Urban water' |
| projects-006 |
No data |
Operational service for the water sector (Copernicus Climate Change Service - Demonstrator project) |
Operational service for the water sector |
Climate Change Service (C3S) |
Demonstrators projects |
Copernicus programme |
No data |
2021-06-01 |
Completed |
No data |
The Operational service for the water sector of the Copernicus Climate Change Service (C3S) aims to help a broad range of water managers to plan their activities at seasonal horizons, as well as adapt their strategies in order to mitigate the effects of climate change. The intended user is in the fields of, for instance, water allocation, flood management, ecological status and industrial water use, but the provided services and information is also relevant in adjacent sectors, such as Energy and Agriculture. The service offers state-of-the-art hydrological climate information and seasonal forecasts for the water sector, available through datasets and interactive web applications. |
https://climate.copernicus.eu/operational-service-water-sector |
Rivers and estuaries', 'Water reservoir', 'Lake', 'Groundwater', 'Wetlands', 'Urban water', 'Coastal waters' |
| projects-007 |
101017861 |
SMARTLAGOON |
Innovative modelling approaches for predicting Socio-environMentAl evolution in highly anthRopized coasTal LAGOONs |
H2020 |
H2020-FETPROACT-2018-2020 |
FETPROACT-EIC-08-2020 |
2021-01-01 |
2024-12-31 |
On going |
€ 003 981 907.50 |
Coastal lagoons are ecosystems with great environmental and socioeconomic value. However, these natural systems are especially vulnerable to climatic and anthropogenic pressures, such as intensive agriculture and extensive urbanization as a consequence of the tourist development. Despite the vulnerability and complexity of these ecosystems, there has been limited development of novel techniques which can provide real-time monitoring, analysis and management of these critical resources. Beyond being useful for policy-making procedures at multiple levels of granularity, these tools can increase local and citizen awareness of environmental impacts. SMARTLAGOON project intends to develop a digital twin to build a systemic understanding of the socio-environmental inter-relationships affecting costal lagoons and their ecosystem. It will digitally replicate the policy-making procedure of these complex socio-environmental systems by combining, analyzing and interpreting data from different sources; including efficient in-situ IoT infrastructures with edge computing capabilities that reduce the overall system’s carbon footprint, remote sensing technologies, social media sensing, open-data repositories and data from human behavior, economics and the social sciences, by making recourse to advanced AI, NLP, physically-based and citizen science models. As a case study, SMARTLAGOON focuses on the Europe’s largest salt water coastal lagoon, i.e., Mar Menor (Murcia, Spain), which has suffered serious environmental degradation due to several socio/environmental reasons. We will jointly develop our tool with citizens, stakeholders and policy-makers of this area to address their needs and requirements, following an agile methodology to ensure practical and useful results for this particular scenario in the first instance and extend to other coastal lagoons in the second instance. |
https://cordis.europa.eu/project/id/101017861 |
Coastal waters' |
| projects-008 |
101145011 |
CleanWaterPathfinder |
Autonomous robotics and digital TWIN to improve water network performances |
HORIZON |
HORIZON-EIC-2023-ACCELERATOR-01 |
HORIZON-EIC-2023-ACCELERATOROPEN-01 |
2024-03-01 |
2026-02-28 |
On going |
€ 003 540 300.00 |
Our project aims to revolutionize the water industry through the development and commercialization of an innovative robotic inspection system. Our robotic inspection system offers a comprehensive set of functionalities that enable water utilities to gain deep insights into the condition of their water pipelines. With the ability to autonomously navigate inside the pipeline, our system conducts detailed assessments of the structural integrity, identifies leaks, and analyses the quality of the drinking water. By developing the Digital Twin of the water networks, our technology empowers water utilities to make informed decisions and take proactive measures to ensure the reliability, efficiency, and safety of their water networks.At the core of our business model is Robotics as a Service (RaaS), which offers a flexible and cost-effective solution for water utilities. Instead of incurring substantial upfront costs, water utilities can access our cutting-edge technology on a subscription basis. This model eliminates the financial barriers to entry and allows utilities to benefit from the latest advancements in robotic inspection without compromising their budgetary constraints. With a strong focus on sustainability, our robotic inspection system aligns with several Sustainable Development Goals (SDGs), including SDG 6 (Clean Water and Sanitation) and SDG 9 (Industry, Innovation, and Infrastructure). During 2025-2029, our robotic inspection system will preserve 143 million cubic metres of drinking water; these savings correspond to the annual consumption of 2.6 million EU citizens. This greatly aligns with global efforts for sustainable water management and environmental preservation. |
https://cordis.europa.eu/project/id/101145011 |
Urban water' |
| projects-009 |
101122311 |
Di-Hydro |
DIGITAL MAINTENANCE FOR SUSTAINABLE AND FLEXIBLE OPERATION OF HYDROPOWER PLANT |
HORIZON |
HORIZON-CL5-2022-D3-03 |
HORIZON-CL5-2022-D3-03-08 |
2023-10-01 |
2026-09-30 |
On going |
No data |
Di-Hydro contributes towards harnessing the full potential of hydro-power (HP) plants and clusters in line with the objectives of the European Green Deal and the Paris Agreement, by development of tailored, optimized digital and smart decision-making tools for use in such plants, at scale. Indeed, Di-Hydro will develop smart devices and pro-active intelligent algorithms that utilize data acquired from static, dynamic, and alternative sources (e.g., satellites) so as to predict the operational and maintenance-related behavior of standalone HP plants and clusters, and we will then incorporate such algorithms in digital twins that can fully interrelate with such HP plants/clusters, yielding, eventually, an intelligent, fully-replicable decision-making tool for optimal coordination of environmentally mindful power generation from such plants/clusters (based on the foreseen market needs and the intended commercial strategy of their owners). Notably, a wide variety of previous plant digitization levels, weather and water flow conditions, biodiversity, environmental and societal issues pertinent to such HP clusters are incorporated in the integrated practical solution developed here, mainly by leveraging innovative sensor technologies, cutting-edge digital adaption for energy production, and optimized operation and maintenance practices based on next-gen information technology. The consortium is comprised of 13 partners, 3 of which are RTOs, 7 SMEs, and 3 large power enterprises (represented here by their hydro-power branches). |
https://cordis.europa.eu/project/id/101122311 |
Water reservoir' |
| projects-010 |
101122357 |
D-HYDROFLEX |
Digital solutions for improving the sustainability performance and FLEXibility potential of HYDROpower assets |
HORIZON |
HORIZON-CL5-2022-D3-03 |
HORIZON-CL5-2022-D3-03-08 |
2023-09-01 |
2026-08-31 |
On going |
No data |
The European energy system is undergoing a significant transformation: decarbonization, security of supply, deployment of renewables and their integration into the market, generating significant opportunities and challenges for energy stakeholders. Despite all energy efficiency efforts, overall demand for decarbonized electricity is set to be significantly higher in 2050 than today due to the decarbonization of the heating, cooling, transport and many industrial sectors, which can only be achieved via efficient and smart electrification. Hydropower is a key technology in supporting the European pathway to a decarbonized energy system and to achieve global leadership in renewable energy generation. It consists a renewable and highly sustainable electricity resource and can supply the European power system with stability and valuable flexibility. In addition, hydropower reduces EU’s dependency on fossil imports and renders multiple extra benefits for society in the river basins such as support to irrigation, water supply and flood control. The D-HYDROFLEX project will advance excellence in research on digital technology for hydropower paving the way towards more efficient, more sustainable, and more competitive hydropower plants in modern power markets. D-HYDROFLEX will develop a toolkit for digitally ‘renovating’ the existing hydroelectric power plants based on sensors, digital twins, AI algorithms, hybridization modelling (power-to-hydrogen), cloud-edge computing and image processing. The core pillars of the project will be: (i) digitalization, (i.e., digital twins for hydro dams and machinery, weather and flow forecasts, cyber-resilience), (ii) flexibility, (i.e., coordination with hydrogen, storage and VPP operation) and (iii) sustainability, (i.e., biodiversity environmental issues). Validation will take place in real hydro plants of EDF (France), TEE (Poland), PPC (Greece), TASGA (Spain) and INTEX (Romania), covering different geographical areas of Europe. |
https://cordis.europa.eu/project/id/101122357 |
Water reservoir', 'Rivers and estuaries' |
