Measurement of the diameter of biocolonised moorings and biofouling composition at T+6 months of immersion.

Monitoring data on biomass (fresh weight in air and water), biovolume, thickness.

Comparison of multiparameter probes

Excel database containing the information collected for the atlas (45 sources for the French maritime façades + 24 on a global scale) and shapefiles for the cartographic representation of the available data

The objective of the ABIOP project was to develop biofouling characterisation and quantification methods to make the design and maintenance of ORE systems more reliable. ABIOP has identified the research needs that will enable better identification and management of the risks relating to the ORE components most sensitive to biofouling. Initial in situ measurements were also carried out to characterise biocolonisation in the Atlantic and Mediterranean from an engineering and environmental point of view. The necessary additional studies are being carried out within the framework of the ABIOP+ project.

To reduce the number of interventions and maintenance operations, it is necessary to monitor the proliferation of marine fouling in real time and over a long period. This is why it is necessary to have an in situ optical video system that is protected for as long as possible against biocolonisation.

Database of images collected at ABIOP monitoring sites (UTLN = Mola buoy offshore Banyuls, SEMREV = special marks east and north, UN = biocolmar buoy) + report on biofouling characterisation (rapport_taxo_ABIOP_provisoire)

Backup of the data used for characterising the different biofouling monitoring protocols in an excel file.

The macrofouling qualification and quantification protocols were extracted from 64 public documents (33 scientific articles, 1 book chapter, 22 internal reports, 4 internship reports and 4 theses) presenting studies conducted in France (n = 40), Europe (n = 16) and the world (n = 8).

This report focuses on two important parameters for biofouling image analysis: the artificial light and the distance to the structure. The first section presents the available tool that was already deployed in several studies in link with industrial needs (O’Byrne et al., 2018c) and the laboratory equipment. Section 2 focuses on the automatic segmentation algorithm and the indicators of quality of assessments. Finally section 3 introduces configurations that were tested and the key results.