Environmental and/or societal issues

Topic 3

 

With the benefit of scientific results and findings obtained in marine environment physics by the two other team topics, this topic addresses environmental and societal issues. For instance, we explore the modelling abilities for the optimisation of survey systems against hazards and disturbances such as marine submersions and storm surges, extreme events (tsunamis, freak waves), jellyfish outbreaks, macro-waste accumulations, CO2 dispersion and contaminants in coastal urban areas. Beyond modelling, the team abilities in oceanographic observations (observation network) can also be useful for operational oceanography (data assimilation) and for applications to marine engineering (e.g. use of currents for guiding boats). Another part of this topic lies in the framework of global change. Especially, the team is involved in the quantification of the carbon sequestration by the physical and biochemical pumps influenced by hydrodynamics and coastal contributions, and the evolution of marine ecosystems, in the Mediterranean Sea. In this same context, new ways for extracting energy from oceans are explored. Clearly, the extraction of energy from the swell and the currents, and the study of fluid-structures interactions in a floating-aeolian framework are considered as the main research ways in that domain.

In order to achieve those objectives, the team activity is based upon a strong synergy between in situ measurements (including high frequency and resolution), laboratory experiments, and modelling in hydrodynamics and coupled with physics/biogeochemistry. Indeed, the team uses and develops advanced equipment (MVP, OCARINA, large wind wave tank, basins), contributes to marine observation national networks (TRANSMED, MOOSE, SOMLIT, HTMNET, …), and has acknowledged abilities in electromagnetic remote-sensing of the marine environment and in processing of radar (HF and microwave) and satellite data, as well as in hydrodynamical (CROCO, NEMO-GLAZUR, …) and biogeochemical (Eco3M) modelling.