Chinese delegation from the State Oceanic Administration (SOA, TIO), lead by Mr. Wang Jinkeng, visited SOCIB

thumbnail image - Chinese delegation from the State Oceanic Administration (SOA, TIO), lead by Mr. Wang Jinkeng, visited SOCIB
November 8, 2013

A Chinese Delegation from SOA (State Oceanic Administration) leaded by Mr. Wang Jinkeng and accompanied by SOA engineers Luo Yang, Cai Ling, Wang Cui, Tao Buomin, visited SOCIB on November 7th, 2013. This delegation was particularly interested in the Operational Oceanography response capabilities and tools for decision support under oil spill accidents developed at SOCIB, following the new environmental policy of the chinese government, based on scientific knowledge and sustainability. 

SOCIB Director, Joaquín Tintoré and his team, presented the ongoing activities related to oil spill response and the different Observing, Modelling and Data Centre facilities with special emphasis on the role of new monitoring multi-platform technologies (such as among others gliders and/or surface drifters and their real-time data collection, processing and distribution capabilities) for REA (Rapid Environmental Assessment), modeling and trajectory tools implemented and also being upgraded in the frame of research projects at IMEDEA (CSIC-UIB) (MyOcean and Tosca at present), as well as the activities related to data integration and inter-operability that allow easy data sharing, visualization and download by users

Also of interest were the applications from SIAS Division, the Environmental Sensitivity Index (following the work from NOAA Office of Restoration and Response) developed for coastline characterization, and Sustainability Indicators for ICZM developed and being implemented in Menorca Island. Finally, we presented the combination of all products generated at SOCIB, both physical and biogeochemical data as well as socio-economical indicators, showing the potential of SOCIB scientific, technological and society driven approach, developing decision support tools and systems for science-driven sustainable management.