Objective
INTCATCH will instigate a paradigm shift in the monitoring and management of surface water quality that is fit for global waters in the period 2020-2050. INTCATCH will do this by developing efficient, user-friendly water monitoring strategies and systems based on innovative technologies that will provide real time data for important parameters, moving towards SMART Rivers. The business model will transform water governance by facilitating sustainable water quality management by community groups and NGOs using a clouds data linked to a decision support system and eco-innovative technologies.
The INTCATCH project will use demonstration activities to showcase eco-innovative autonomous and radio controlled boats, sensors, DNA test kits and run-off treatment technologies. Actions which develop and evaluate these in a range of catchments will address the important innovation barriers to uptake, notably, a lack of knowledge of new technologies and their capabilities, identified by the European Innovation Plan (EIP) on water. By conceptually moving the laboratory to the ‘field’, the monitoring techniques that will be developed aim to supersede the inefficient, time dependent, costly and labour-intensive routine sampling and analysis procedures currently deployed to understand the quality of receiving waters. It will compliment routine monitoring that is required for baseline datasets, but also enable cost-effective impact and management investigations.
INTCATCH will incentivise stakeholder innovation in monitoring and will facilitate new financing for innovation through its innovative franchise business model and empowerment of community groups and NGOs. The market ambition is that the INTCATCH business will facilitate an eco-innovative approach to deliver good quality water bodies across Europe and beyond. This will support green growth, increase resilience to climate change and capture greater market-share for Europe’s innovative industries.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencesearth and related environmental scienceshydrologyhydroinformatics
- social scienceseconomics and businessbusiness and managementbusiness models
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsmobile phones
- engineering and technologyenvironmental engineeringnatural resources managementwater management
Programme(s)
Funding Scheme
IA - Innovation actionCoordinator
UB8 3PH Uxbridge
United Kingdom
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Participants (19)
37129 Verona
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08500 Vic Barcelona
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157 72 ATHINA
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20149 MILANO
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00161 Roma
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11146 Athina
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37073 Gottingen
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1180 Wien
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24109 KIEL
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
08193 Cerdanyola Del Valles
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Participation ended
08560 MANLLEU
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BS1 5AH Bristol
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DA12 2BG Gravesend Kent
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NR7 0LB NORWICH
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
NP16 6DU CHEPSTOW
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
37136 Verona
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
37019 PESCHIERA DEL GARDA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
00152 Rome
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
7801 Namsos
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