Publication [J.21]
Samaras, A.G. and Karambas, Th.V. (2021). Modelling the impact of climate change on coastal flooding: Implications for coastal structures design. Journal of Marine Science and Engineering, 9 (9), 1008, DOI. (PDF)
climate change •• coastal flooding •• coastal structures •• wave-/hydro-dynamics •• coastal scale
Abstract
In the present work, the impact of climate change on coastal flooding is investigated through a set of interoperable models developed by the authors, following a modular modelling approach and adapting the modelling sequence to two separate objectives with respect to inundation over large-scale areas and coastal protection structures’ design. The modelling toolbox used includes a large-scale wave propagation model, a storm-induced circulation model and an advanced nearshore wave propagation model based on the higher order Boussinesq-type equations, all of which are presented in detail. Model capabilities are validated and applications are made for projected scenarios of climate change- induced wave and storm surge events, simulating coastal flooding over the low-lying areas of a semi-enclosed bay and testing the effects of different structures on a typical sandy beach (both in northern Greece). This work is among the few in relevant literature that incorporate a fully nonlinear wave model to a modelling system aimed at representing coastal flooding. Results highlight the capabilities of the presented modelling approach and set the basis for a comprehensive evaluation of the use of advanced modelling tools for the design of coastal protection and adaptation measures against future climatic pressures.
In the present work, the impact of climate change on coastal flooding is investigated through a set of interoperable models developed by the authors, following a modular modelling approach and adapting the modelling sequence to two separate objectives with respect to inundation over large-scale areas and coastal protection structures’ design. The modelling toolbox used includes a large-scale wave propagation model, a storm-induced circulation model and an advanced nearshore wave propagation model based on the higher order Boussinesq-type equations, all of which are presented in detail. Model capabilities are validated and applications are made for projected scenarios of climate change- induced wave and storm surge events, simulating coastal flooding over the low-lying areas of a semi-enclosed bay and testing the effects of different structures on a typical sandy beach (both in northern Greece). This work is among the few in relevant literature that incorporate a fully nonlinear wave model to a modelling system aimed at representing coastal flooding. Results highlight the capabilities of the presented modelling approach and set the basis for a comprehensive evaluation of the use of advanced modelling tools for the design of coastal protection and adaptation measures against future climatic pressures.
Works that reference this work
[04] Postacchini, M., Melito, L. and Ludeno, G. (2023). Nearshore Observations and Modeling: Synergy for Coastal Flooding Prediction. Journal of Marine Science and Engineering, 11 (8), 1504, DOI.
[03] Makris, C., Karambas, T.V. and Christopoulos, S. (2023). Post-Boussinesq modelling of nonlinear irregular waves in port basins with wave structure interaction. Proc. of the 2nd International Conference Design and Management of Port, Coastal and Offshore Works, Thessaloniki, Greece, May 24-27, 2023, Vol. I, pp.41-45. (Link).
[02] Rajabi, N., Rajabi, K. and Rajabi, F. (2023). Forecasting and management of disasters triggered by climate change. In: Srivastav, A., Dubey, A., Kumar, A., Kumar Narang, S. and Ali Khan, M. (Eds.), Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence (pp.181-207). Elsevier, DOI.
[01] Taher, M., Mourabit, T., El Talibi, H., Etebaai, I., Bourjila, A., Errahmouni, A. and Lamgharbaj, M. (2022). The Risk Mapping of Coastal Flooding Areas Due to Tsunami Wave Run-Up Using DAS Model and its Impact on Nekor Bay (Morocco). Ecological Engineering & Environmental Technology, 23 (4), pp.136-148, DOI.
[04] Postacchini, M., Melito, L. and Ludeno, G. (2023). Nearshore Observations and Modeling: Synergy for Coastal Flooding Prediction. Journal of Marine Science and Engineering, 11 (8), 1504, DOI.
[03] Makris, C., Karambas, T.V. and Christopoulos, S. (2023). Post-Boussinesq modelling of nonlinear irregular waves in port basins with wave structure interaction. Proc. of the 2nd International Conference Design and Management of Port, Coastal and Offshore Works, Thessaloniki, Greece, May 24-27, 2023, Vol. I, pp.41-45. (Link).
[02] Rajabi, N., Rajabi, K. and Rajabi, F. (2023). Forecasting and management of disasters triggered by climate change. In: Srivastav, A., Dubey, A., Kumar, A., Kumar Narang, S. and Ali Khan, M. (Eds.), Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence (pp.181-207). Elsevier, DOI.
[01] Taher, M., Mourabit, T., El Talibi, H., Etebaai, I., Bourjila, A., Errahmouni, A. and Lamgharbaj, M. (2022). The Risk Mapping of Coastal Flooding Areas Due to Tsunami Wave Run-Up Using DAS Model and its Impact on Nekor Bay (Morocco). Ecological Engineering & Environmental Technology, 23 (4), pp.136-148, DOI.
Author's works that reference this work
[J.22] Samaras, A.G. (2023). Towards integrated modelling of Watershed-Coast System morphodynamics in a changing climate: A critical review and the path forward. Science of the Total Environment, 882, 163625, DOI.
[OP.03] Karambas T.V. and Samaras, A.G. (2021). Modelling of Harbour and Coastal Structures (Editorial). Journal of Marine Science and Engineering, 9 (10), 1108, DOI. (PDF)
[J.22] Samaras, A.G. (2023). Towards integrated modelling of Watershed-Coast System morphodynamics in a changing climate: A critical review and the path forward. Science of the Total Environment, 882, 163625, DOI.
[OP.03] Karambas T.V. and Samaras, A.G. (2021). Modelling of Harbour and Coastal Structures (Editorial). Journal of Marine Science and Engineering, 9 (10), 1108, DOI. (PDF)
