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SPACE-O

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Space Assisted Water Quality Forecasting Platform for Optimized Decision Making...

Space Assisted Water Quality Forecasting Platform for Optimized Decision Making in Water Supply Services Satellite remote sensing has been evolved into a powerful tool for global monitoring of surface waters. Earth Observations (EO) and remote sensing are widely used for quantifying the physical parameters of reservoirs as well as fo... ver más

31/12/2018

EMVIS AE

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

EMVIS SYMVOULOI MICHANIKOI ANONYMI ETAIREIA No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 9 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2018-12-31

EO-1-2016: Downstream applications Specific Challenge:Copernicus, the Union's Earth observation and monitoring programme entered into f...

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

9 Participantes

EMVIS AE

395.77K€ | Lider

NEOS ADDITIVES

217.95K€ | Participante

ENAS

129.10K€ | Participante

IWA

286.54K€ | Participante

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Duración del proyecto: 26 meses Fecha Inicio: 2016-10-28
Fecha Fin: 2018-12-31

Líder del proyecto

EMVIS SYMVOULOI MICHANIKOI ANONYMI ETAIREIA No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Satellite remote sensing has been evolved into a powerful tool for global monitoring of surface waters. Earth Observations (EO) and remote sensing are widely used for quantifying the physical parameters of reservoirs as well as for retrieving selected water constituents concentrations. Space-O aims at the integration of state of the art (EO) and in situ monitoring with advanced hydrological, water quality models and ICT tools into a powerful decision support system (DSS) for generating real time, short to medium term forecasting water flows and quality data in reservoirs which will be used for the optimization of water treatment plants (WTPs) operations, establishing a complete service line from EO to water business sector. An operational service platform will be designed to facilitate increased interoperability among EO and modeled services. Data acquisition and integration of almost real time EO data in the hydrological and water quality models will be implemented in order to provide improved real-time, short to medium term water quantity and quality forecasting in reservoirs. A risk-based DSS will be developed in order to enable cost-effective and environmental sustainable Water Treatment Plants (WTPs) operation, based on the water quality parameters forecasts at the reservoir, the in situ monitoring data and the data collected through supervisory control and data acquisition (SCADA) systems used in WTPs for operation control. Additionally, developing Copernicus Services (C3S) will be jointly assessed with site-specific data sets generated through the satellite, modeling, in situ and citizens monitoring services, to produce continuous monitored indicators for enabling water quality Risk Assessment analysis on a catchment level.

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