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ENLACE

Ondas
Partilhar

ENLACE will explore process-based models to identify the best strategy to simulate long-term coastal evolution of sandy coasts. That strategy will balance reductionism and synthesis to capture behaviors that provide the explanatory and predictive capabilities at an ‘appropriate complexity’ level. For that, a series of state of the art process-based models will be coupled to integrate both longshore (ShorelineS model) and cross-shore (XBeach-Duna coupled models) processes. The novel approach proposed within ENLACE will holistically explore long-term evolution of sandy coasts by also integrating aeolian processes and extending the cross-shore processes to the emerged coastal barrier. The results will contribute to predicting long-term coastal morphodynamics and guide policy makers and managers

SDG 13: Ação Climática
SDG 14: Proteger a Vida Marinha
SDG 15: Proteger a Vida Terrestre

SDG 13.1
SDG 13.2
SDG 13.3
SDG 17.6
SDG 17.14

218.027,14 € / 229.527,14 €

Fundação para a Ciência e Tecnologia

scotero@ualg.pt

Sobre

Predictions of long-term coastal evolution on decadal timescales are increasingly sought for adaptation planning in light of climate change and sea-level rise. Present and future needs demand the extension of process-based models beyond short-term time scales to assessment of long-term coastal changes. These models are already able to provide detailed analysis and prediction of morphological changes at short-term time scales. Still, further investigation is needed to bridge the gap between short-term hydrodynamic and transport processes, varying over hours to days, and morphological changes, often taking place over much longer periods. Thus, the importance of studying the medium to long-term (years to decades) morphological change and its effect on coastal sustainability stresses the need for new methodologies to support predictions over these time scales.

Partners: 

Ceará State University: Davis Pereira de Paula | Francisco Rodrigo Cunha de Sousa; 

Ciencia Viva Center of Algarve: Emanuel Reis | Luis Gonçalves; 

Project Consultants: Dano Roelvink (IHE-Delft) | Irene Delgado (Edge Hill University) | Derek Jackson (Ulster University) | Theocharis Plomaritis (University of Cadiz)

Palavras-chave
Cross-shore processes
Process-based models
Longshore process
Aeolian processes

Resultados

Elghandour, A., Roelvink, D., Huisman, B., Reyns, J., Costas, S., & Nienhuis, J. (2020). REDUCED COMPLEXITY MODELING OF SHORELINE RESPONSE BEHIND OFFSHORE BREAKWATERS. Coastal Engineering Proceedings, 34. https://doi.org/10.9753/icce.v36v.papers.34
Elghandour, A., Roelvink, D., & Costas, S. (2020). Improving the fidelity of morphological impact predictions in Arctic Alaska barrier Islands.
de Sousa, B., Costas, S., & Ferreira, Ó. (2020). The potential of UAV to monitor coastal dunes changes.

Equipa

Outros Membros / Parceiros

Dano Roelvink
Cargo - Consultores
Irene Delgado
Cargo - Consultores
Derek Jackson
Cargo - Consultores
Theocharis Plomatiris
Cargo - Consultores