ABOUT

PrimeWater

Project overview

PrimeWater is a Horizon2020 funded research project that generates information on the effects of upstream changes on future water quality and quantity. Building on advanced Earth-Observation data products, integration with additional data sources and diagnostic modelling tools, public and private sector decisions for water resources management are provided with better and actionable information.

The services produced will provide:

  • Increased situational intelligence
  • enhanced predictive and early warning capabilities
  • adaptive management of water resources and

PrimeWater’s service line will be operationalized and tested in three international show cases for multiple downstream water services and operations.

PrimeWater is designed to impact (a) research in the fields of EOs, and hydrological and ecological modelling, (b) innovation in the water sector and the downstream sector of the European space market, (c) specific societal and environmental challenges, and (d) policy implementation.

MAKING

PrimeWater a reality

Co-Development

of products and services to respond to the needs of end-users, and support market uptake

Community of Practice

for improving water resources management with the use of Earth Observations

Behaviour Analysis

to support understanding and how to overcome individual and institutional barriers in the uptake of new technologies

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Earth Observations

yields new insights and early warning of harmful algal blooms and characterises the impact of sediment within the catchment

Process-based modeling

to improve ecological forecasting capabilities

Explore our process-based modelling experiments in the VL >

Data-driven Modeling

to provide short-term water quantity and quality forecasts

Co-Development
Community of Practice
Behaviour Analysis
Earth Observations
Process-based Modeling
Data-driven Modeling

STAY

Tuned

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MEET OUR

Team

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The project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No 870497.

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