Accu-Waves | Research Project by Kpler
No items found.

Accu-Waves

Accu-Waves

A decision support tool for navigation management in ports

Ports are vital links in the chain of maritime transportations and have a decisive impact on their quality. Recent reports of marine accidents show that 60% of them are due to the human factor. The majority of accidents could be avoided if appropriate means of support for navigation existed.
The tool to be developed will provide reliable data on prevailing sea states in both real-time and 3-day forecasts every 3 hours. The results will support approaching procedures of vessels to port and harbor basins.
The application will be based on hydrodynamic models and will derive data from open seas forecasts. The implementation of the proposed project will be based on the logical succession presented in the following steps:

  1. Development, validation and application of three hydrodynamic numerical models:
    1. Wave model(for wind-induced irregular wave fields)
    2. Swell model(for long waves)
    3. Storm surge model(for sea level variations induced by meteorological effects and astronomical tides)
  2. It mainly concerns the integration of models, presented in Step (i), into an electronic operational forecast platform that will provide wind, wave and current data for a 3-hourly 3-day forecast.
  3. Actions will be taken to further exploit the results of the proposed research, as well as to disseminate and communicate the achievements of the project to targeted stakeholder groups.
Co-financed by the European Union and Greek National funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH-CREATE-INNOVATE (project code:T1EDK-05111)

Go to this project's page

OUR WORLDWIDE PARTNERS
Previous
Next
No items found.
BigDataOcean
Funded under the EU H2020 ICT-14-2016-2017 (Grant Agreement No 732310)
Read more

Require AIS data for your project?

Please reach out to us to discuss which Kpler offering will support your research project or academic study in the best possible and efficient way.