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Table 2 The main methods and expected outcome the work of WP1: oil spill detection, monitoring, fate and distribution

From: The EU Horizon 2020 project GRACE: integrated oil spill response actions and environmental effects

General experimental procedure

Aims and expected outcome


Development and characterisation of novel systems for the online exposure of zebrafish embryos under flow-through conditions

A novel biosensor based on the behavioural responses of zebrafish embryos for the detection of oil in water

Steffens et al. [31]

Nüßer et al. [32]

Integration of UV—fluorometers into FerryBox and SmartBuoy platforms

Operational, real-time oil spill detection on fairways

Petersen [33]

Lambert [34]

UAVs and gliders are used to monitor localised oil pollution. UAVs are used for mapping of oil spread on the surface. Gliders determine the spatial distribution of an oil spill and its temporal evolution underwater

Monitoring and mapping the oil pollution from a shipwreck using UAVs and gliders


URready4OS [36]

Vasilijevic et al. [37]

American Petroleum Institute [41]


Fingas and Brown [39]

Combined use of drifters and UAVs to improve oil spills situational awareness in tactical scale

UAV systems together with drifter buoys is a cost-effective way to monitor different marine parameters in case of oil spills, improving considerably situational awareness of operations

Lumpkin et al. [40]


American Petroleum Institute [41]

Lagrangian model is applied to assess oil short-time fate in the realistic marine environment combined by meteorological and oceanographic models

Oil fate modelling: hind- and forecast module ready to be integrated with measurement systems

Wolk [42]

Gräwe and Wolff [43]