Linking source with consequences of coastal storm impacts for climate change and risk reduction scenarios for Mediterranean sandy beaches

Sanuy, Marc; Duo, Enrico; Jäger, Wiebke S.; Ciavola, Paolo; Jiménez, José A.

doi:https://doi.org/10.5194/nhess-18-1825-2018

Articles | Volume 18, issue 7

https://doi.org/10.5194/nhess-18-1825-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-18-1825-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 7

Research article

|

03 Jul 2018

Research article |

| 03 Jul 2018

Linking source with consequences of coastal storm impacts for climate change and risk reduction scenarios for Mediterranean sandy beaches

Marc Sanuy, Enrico Duo, Wiebke S. Jäger, Paolo Ciavola, and José A. Jiménez

Data sets

Oceanografic Data Puertos del Estado (Spanish Ministry of Public Works) http://www.puertos.es/es-es/ oceanografia/Paginas/portus.aspx

Cartographic and topographic dataset Institut Cartogràfic i Geològic de Catalunya (ICC) http://www.icc.cat/vissir/

Regione Emilia-Romagna Geoportale http://geoportale.regione.emilia-romagna.it/it

Short summary

To enable efficient coastal management, present and future scenarios must be included, risk reduction measures integrated, and multiple hazards dealt with. Process-based models are used to predict hazards at receptors. Impacts are calculated through vulnerability relations. Simulations are integrated with a Bayesian-based approach to link source with consequences. The tool is valuable for communicating risks and the effects of risk reduction strategies and as support for coastal decision making.