Solution Provider: EMVIS Consultant Engineers

Name of the organisation

EMVIS Consultant Engineers

Contact Person

Apostolos Tzimas

Targeted Markets: Beyon Europe

Description of the Solution

1A fully operational service line for generating short-term water quantity and quality forecasts in reservoirs, has been developed in SPACE-O project (http://www.space-o.eu) by integrating satellite technology with state of the art hydrologic and water quality modelling. Hydrological forecasting is performed by HYPE model which is an open-source, semi-distributed hydrological model that provides 10-days forecasts of river discharges, water temperatures, nutrient and sediment loads entering the reservoir. Hydrological input along with local weather forecasted parameters are fed into the hydrodynamic model (Delft3D Suite) which is used to estimate velocity fields, water elevations and temperatures in the reservoir domain. Hydrodynamic output is then coupled with the water quality model in order to estimate the spatial and temporal distribution of critical water quality parameters for the next 10 days (e.g. various algae species, nitrogen, phosphorus, dissolved oxygen, suspended sediment).

Main Innovative Element:

Satellite imagery of water temperature, turbidity and chlorophyll-a concentrations obtained from Landsat 7&8 and Sentinel 2 missions are operationally assimilated into the modelling chain using advanced data assimilation techniques. An ensemble of coupled hydrodynamic and water quality members with random noise both in forcing data and model parameters is constantly evolved through time and is used to correct the model state when earth observations are available, using the Ensemble Kalman Filter. Furthermore near real-time observations of reservoir water levels from in-situ monitoring stations are assimilated in the hydrodynamic model in order to keep simulated water levels as close as possible with measured.

Kinds of Problems

Forecasted water quality parameters produced by the modelling chain are used to support proactive informed decision making in reservoirs used for drinking water production. An early warning system has been deployed which uses results from the hydrodynamic and water quality models, aiming to rapidly detect changes with high impact on the water quality of the reservoirs (e.g. harmful algae blooms, high turbidity events) and increase the adaptive capacity of the downstream services. Furthermore a water treatment plant optimization module is used to identify the best water abstraction depth for the next 10 days and also to provide to operators strategies for minimizing the chemical and energy costs of the coagulation-sedimentation and filtration units.