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INNO-CYANO SIGNED

INNOvative mapping, reporting and forecasting of CYANObacteria blooms applying the synergistic use of advanced in situ optical data, satellite imagery and statistical modelling

Total Cost €

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EC-Contrib. €

0

Partnership

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Project "INNO-CYANO" data sheet

The following table provides information about the project.

Coordinator
WATER INSIGHT BV 

Organization address
address: MARIJKEWEG 22
city: WAGENINGEN
postcode: 6709 PG
website: www.waterinsight.nl

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Netherlands [NL]
 Project website http://www.waterinsight.nl
 Total cost 83˙042 €
 EC max contribution 83˙042 € (100%)
 Programme 1. H2020-EU.2.3.2.2. (Enhancing the innovation capacity of SMEs)
 Code Call H2020-INNOSUP-02-2016
 Funding Scheme CSA
 Starting year 2017
 Duration (year-month-day) from 2017-09-01   to  2018-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    WATER INSIGHT BV NL (WAGENINGEN) coordinator 83˙042.00

Map

 Project objective

Water Insight (WI) specialises in high quality spatial information products for monitoring surface water quality applying the synergistic use of Earth Observation (EO) and optical in situ measurements. Based on a close interaction with users, WI wants to add a new user-tailored service branch to their portfolio: forecasting of cyanobacteria blooms. Due to climate change and anthropogenic activity, massive blooms of cyanobacteria become an increasing problem for lakes world-wide. Cyanobacteria may be toxic for animals and humans, change the water quality and ecosystems. The consequences are visible in social, economic and industrial levels. While WI's technology has been proven to be very suitable for monitoring the development of cyanobacteria blooms, water managers also require quick and precise forecasts of the blooms development to take timely measures or mitigating actions. Existing process-based forecasting models are complex, need a too long processing time and more input data than is operationally available. WI has an extensive dataset of EO and in situ data on affected lakes. A data-driven statistical model could be developed based on these data, and significantly reduce the processing time for a forecast. To develop such a model, a highly-skilled searcher (PhD) is required, with specialised knowledge of EO data, proven skills in statistical modelling, cyanobacterial ecology and water quality. It is difficult for WI to recruit such a specialist as there is a lack of university graduates, particularly on the PhD level, in this field in the Netherlands. INNO-CYANO will be beneficial for all: WI will get the chance to hire a specialist to develop our innovative ideas, the candidate will get the chance to get an insight in the practice of a commercial company and to develop in the field of business innovation, and the ‘INNO-CYANO’ model will serve water managers with a precise forecast of the blooms and therefore improve the management of cyanobacteria blooms.

 Deliverables

List of deliverables.
Report on spatial and temporal distribution of cyanobacteria bloom and scum Documents, reports 2019-05-31 11:53:34
Scientific publication+professional publication+marketing materials Other 2019-04-18 14:11:04

Take a look to the deliverables list in detail:  detailed list of INNO-CYANO deliverables.

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The information about "INNO-CYANO" are provided by the European Opendata Portal: CORDIS opendata.

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