PrimeWater · Project

Satellite-Based Water Quality Monitoring and Forecasting for Water-Dependent Industries

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Imagine having a weather forecast, but for the health of lakes, reservoirs, and rivers — days to months in advance. PrimeWater combined satellite imagery with machine learning to read water quality from space and predict how it will change over time. Think of it like a dashboard that tells water utilities and emergency planners what's coming before it hits, so they can act instead of react. The system pulls data from satellites, drones, and ground sensors, runs it through predictive models, and delivers actionable intelligence about water conditions.

By the numbers

consortium partners from diverse sectors

countries represented in the consortium

total project deliverables produced

industry partners including SMEs

The business problem

What needed solving

Water-dependent industries — from drinking water suppliers to hydropower operators — currently rely on manual sampling and reactive responses to water quality problems. By the time a contamination event or algal bloom is detected through traditional monitoring, it has often already caused damage, treatment costs, or service disruptions. There is no widely available system that combines satellite observation with predictive models to give water managers advance warning across medium to seasonal timeframes.

The solution

What was built

PrimeWater produced 24 deliverables including satellite-based water quality monitoring tools using multi-spectral and hyper-spectral imagery, predictive hydro-ecological models enhanced with machine learning and data assimilation, and a Community of Practice on Digital Water to connect the technology with real water management professionals.

Audience

Who needs this

Municipal and regional water utilities managing reservoirs and treatment plantsEnvironmental monitoring and compliance consultanciesHydropower operators and dam management authoritiesEmergency planning agencies responsible for flood and drought responseAgricultural water management companies in irrigation-intensive regions

Business applications

Who can put this to work

Water utilities and supply

enterprise

Target: Municipal or regional water supply companies managing reservoirs and treatment plants

If you are a water utility dealing with unexpected algal blooms or contamination events that force expensive emergency treatment — this project developed satellite-based monitoring combined with predictive models that forecast water quality changes days to months ahead. That means you can plan treatment schedules proactively, reduce chemical costs, and avoid service disruptions. The system was tested with a consortium of 9 partners across 8 countries.

Environmental consulting and compliance

mid-size

Target: Environmental monitoring firms serving regulators and industrial clients

If you are an environmental consultancy spending significant field time manually sampling water bodies for compliance reporting — this project built tools that integrate satellite and sensor data with hydro-ecological models to assess inland water quality remotely. Instead of sending teams to every lake, you get continuous monitoring coverage with uncertainty information built in. The Community of Practice deliverable was specifically designed to bridge EO technology into real water management workflows.

Hydropower and dam operations

enterprise

Target: Hydropower operators and dam management authorities

If you are a hydropower operator dealing with sediment loads, algal fouling, or unpredictable water level changes that reduce turbine efficiency — this project developed predictive tools covering medium to seasonal time ranges that integrate Earth Observation data with forecasting models. You get advance warning of conditions that affect operations, enabling better maintenance scheduling and reservoir management across different spatial scales.

Frequently asked

Quick answers

What would it cost to adopt this water monitoring system?

The project data does not include pricing or licensing fee information. As a publicly funded Research and Innovation Action, the core algorithms and methods are likely available for adaptation. Contact the coordinator for commercial licensing terms or integration pricing.

Can this scale to monitor large river basins or national water networks?

The system was designed to work across different spatial scales and time horizons, from individual water bodies to broader regions. With 9 partners from 8 countries contributing to development and testing, the platform was built for cross-border applicability. Scaling would depend on satellite data access and local model calibration.

Who owns the intellectual property, and can I license it?

The project was coordinated by EMVIS, a Greek engineering SME, with 9 consortium partners. IP ownership typically follows EU grant rules where each partner owns what they created. For commercial licensing, the coordinator or relevant technical partners would need to be contacted directly.

Does this meet regulatory requirements for water quality reporting?

The project aimed to increase situational intelligence for water regulators and emergency planners, suggesting alignment with regulatory needs. The Community of Practice on Digital Water deliverable focused on bridging EO-assisted water management into professional practice. However, specific regulatory certifications would need to be verified with the consortium.

How far ahead can the system forecast water conditions?

Based on the project objective, PrimeWater delivers predictive tools covering medium to seasonal range forecasting. This means predictions spanning weeks to several months ahead, using data assimilation and machine learning techniques to improve hydro-ecological forecast accuracy.

How does this integrate with existing water management systems?

The project explicitly aimed to establish a complete value chain linking science with the water business sector, with continuous interaction with water professionals. The system integrates multi-spectral and hyper-spectral imagery from satellite, airborne, and ground-based sensors, suggesting compatibility with existing monitoring infrastructure. The 24 deliverables include tools for diagnostic modelling and scenario analysis.

Is ongoing technical support available?

The project ended in May 2023. The Community of Practice on Digital Water was established to sustain engagement. The coordinator EMVIS is an active SME consultancy in Greece, and the project website at primewater.eu may provide current contact information for post-project support.

Consortium

Who built it

The PrimeWater consortium brings together 9 partners from 8 countries (Australia, Germany, Greece, France, Italy, Sweden, UK, and US), giving it unusually broad geographic coverage. The mix includes 3 research organizations, 2 industry players, 1 university, and 3 other organizations, with 2 SMEs in the group. The coordinator is EMVIS, a Greek engineering consultancy SME, which signals commercial intent behind the research. At 22% industry ratio, the consortium leans academic, but the SME-led coordination and the explicit focus on building a value chain linking science to business suggest the results are designed for market uptake, not just publications.

EMVIS SYMVOULOI MICHANIKOI ANONYMI ETAIREIACoordinator · EL
ESC DIJON BOURGOGNEparticipant · FR
EOMAP GMBH & CO KGparticipant · DE
U.S. ENVIRONMENTAL PROTECTION AGENCY - EPAinternationalpartner · US
SVERIGES METEOROLOGISKA OCH HYDROLOGISKA INSTITUTparticipant · SE
CONSIGLIO NAZIONALE DELLE RICERCHEparticipant · IT
COMMONWEALTH SCIENTIFIC AND INDUSTRIAL RESEARCH ORGANISATIONparticipant · AU
ENTE ACQUE DELLA SARDEGNAparticipant · IT
INTERNATIONAL WATER ASSOCIATION LBGparticipant · UK

How to reach the team

EMVIS is a Greek engineering SME — look for their contact via the project website or LinkedIn. SciTransfer can help locate the right person.

Order a report on this consortium See EMVIS SYMVOULOI MICHANIKOI ANONYMI ETAIREIA profile →

Next steps

Talk to the team behind this work.

Want to explore how PrimeWater's satellite water monitoring tools could fit your operations? SciTransfer can connect you with the research team and help evaluate the business case — contact us for a tailored briefing.

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