Abstract
Maritime structures (breakwaters, groynes, ocean wave/wind energy converters, etc.) are exposed to wave attack, which generates common emergency situations with serious environmental and economic consequences. This paper presents a methodology developed at LNEC for forecasting and early warning of wave overtopping in ports/coastal areas to prevent emergency situations and support their management and the long-term planning of interventions in the study area. It is implemented in a risk management tool. The methodology uses numerical models to propagate waves from offshore to port/coastal areas to obtain the required input for overtopping assessment methods, such as empirical formulas and artificial neural networks. The calculated overtopping values are compared with pre-established admissible values in order to define the warning levels. These admissible values are derived from general international recommendations and information from local authorities. They depend on the characteristics of the overtopped structure and of the protected area, and on the activities developed there. The warning methodology is applied to Praia da Vitória Port (Azores-Portugal) as an illustrative example. Future developments include the use of complex numerical models (e.g. Navier-Stokes equations solvers; particle methods) to calculate wave overtopping and to extend the methodology to warn of risks associated with wave energy production failure.
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Acknowledgments
FCT support through projects PTDC/ECM-HID/1719/2012, PTDC/AAC-AMB/120702/2010, PTDC/ECM/114109/2009 and PTDC/CTE-GIX/111230/2009 is acknowledged. The authors are grateful for the information on Praia da Vitória (port and bay) provided by Portos dos Açores, S.A., Anabela Simões and Eduardo Azevedo from Universidade dos Açores, and Conceição Rodrigues from Azorina—Sociedade de Gestão Ambiental e Conservação da Natureza, S.A.
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dos Reis, M.T.L.G.V. et al. (2014). Risk Management in Maritime Structures. In: Xu, J., Cruz-Machado, V., Lev, B., Nickel, S. (eds) Proceedings of the Eighth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 281. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55122-2_102
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DOI: https://doi.org/10.1007/978-3-642-55122-2_102
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