Imagine using the ground like a giant natural sponge to store extra rainwater or treated wastewater for later use. This project builds a smart digital toolkit to help cities and farms decide exactly how much water to put back into the earth without polluting it. It uses AI to predict water availability and ensures the process is affordable and accepted by the local community.
Water scarcity affects 30% of the EU population, yet many regions lack the tools to safely and affordably store alternative water sources underground. Decision makers struggle with water quality risks, high costs, and a lack of public trust in reclaimed water.
An Integrated Decision Support Tool (IDST) comprising 6 specialized AI-based tools for monitoring nitrates, forecasting water availability, and calculating cost recovery.
If you are a municipal utility dealing with seasonal water shortages — this project developed the IDST and OASIS FLOW tool that assesses water footprints and optimizes the reuse of treated wastewater to refill aquifers. This ensures a reliable water supply even during droughts.
If you are a mining company dealing with high water consumption in arid regions — this project developed an industrial feasibility study in Poland to test how alternative water sources can be recharged into the ground. This reduces the reliance on scarce freshwater sources.
If you are an irrigation manager dealing with falling water tables — this project developed PREDMAR and MARAISER tools that forecast water availability and optimize recharge performance. This helps maintain crop yields by securing underground reserves.
Based on available project data, specific pricing is not mentioned, but the project developed a RECOVER tool specifically to establish cost recovery mechanisms for these systems.
Yes, the project includes an industrial feasibility study in the mining sector in Poland and is being validated across 3 demonstration sites in Portugal, Spain, and the Netherlands.
Based on available project data, licensing details are not provided, but the project is managed by a consortium of 14 partners including 6 industry entities.
The project includes MARVIS for near-real time nitrates monitoring and the definition of EU MAR-lines to provide guidelines that align with regulatory frameworks.
The Integrated Decision Support Tool (IDST) uses a DataServiceProcessing framework to integrate six specialized tools into River Basin and Drought Management Plans.
The consortium is heavily weighted toward practical application, with a 43% industry ratio (6 companies). With 14 partners across 7 countries, the group balances academic research (1 university, 4 research centers) with 3 SMEs and 3 larger industrial players, ensuring the tools are tested across diverse climatic and political settings from Portugal to Poland.
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