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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Jul 2018
Research article |
| 03 Jul 2018
| 03 Jul 2018
Linking source with consequences of coastal storm impacts for climate change and risk reduction scenarios for Mediterranean sandy beaches
Laboratori d'Enginyeria Marítima, Universitat Politècnica de
Catalunya Barcelona Tech, Barcelona, Jordi Girona 1–3, 08034, Spain
Enrico Duo
Department of Physics and Earth Science, University of Ferrara, Via Saragat
1, Ferrara, 44122, Italy
Wiebke S. Jäger
Department of Hydraulic Engineering, Delft University of Technology,
Stevinweg 1, Delft, 2628 CN, the Netherlands
Paolo Ciavola
Department of Physics and Earth Science, University of Ferrara, Via Saragat
1, Ferrara, 44122, Italy
José A. Jiménez
Laboratori d'Enginyeria Marítima, Universitat Politècnica de
Catalunya Barcelona Tech, Barcelona, Jordi Girona 1–3, 08034, Spain
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- Modeling climate change adaptation for sustainable coastal zones using GIS and AHP M. Marzouk & S. Azab 10.1007/s10661-023-12287-2
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- Using High-Spatial Resolution UAV-Derived Data to Evaluate Vegetation and Geomorphological Changes on a Dune Field Involved in a Restoration Endeavour S. Fabbri et al. 10.3390/rs13101987
- A new European coastal flood database for low–medium intensity events M. Le Gal et al. 10.5194/nhess-23-3585-2023
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- The Use of News Information Published in Newspapers to Estimate the Impact of Coastal Storms at a Regional Scale A. Sancho-García et al. 10.3390/jmse9050497
- Assessment of potential beach erosion risk and impact of coastal zone development: a case study on Bongpo–Cheonjin Beach C. Lim et al. 10.5194/nhess-21-3827-2021
- A Bayesian Network methodology for coastal hazard assessments on a regional scale: The BN-CRAF M. Sanuy et al. 10.1016/j.coastaleng.2019.103627
- Differences in assigning probabilities to coastal inundation hazard estimators: Event versus response approaches M. Sanuy et al. 10.1111/jfr3.12557
- Uncertainty Analysis Related to Beach Morphology and Storm Duration for More Reliable Early Warning Systems for Coastal Hazards J. Garzon et al. 10.1029/2022JC019339
- Coupled Wave-2D Hydrodynamics Modeling at the Reno River Mouth (Italy) under Climate Change Scenarios M. Gaeta et al. 10.3390/w10101380
- Multi-scenario analysis in the Apulia shoreline: A multi-tiers analytical framework for the combined evaluation and management of coastal erosion and water quality risks M. Dal Barco et al. 10.1016/j.envsci.2023.103665
- Semi-probabilistic coastal flood impact analysis: From deterministic hazards to multi-damage model impacts E. Duo et al. 10.1016/j.envint.2020.105884
- Impacts of a massive beach music festival on a coastal ecosystem — A showcase in Portugal U. Andriolo & G. Gonçalves 10.1016/j.scitotenv.2022.160733
- Local-scale post-event assessments with GPS and UAV-based quick-response surveys: a pilot case from the Emilia–Romagna (Italy) coast E. Duo et al. 10.5194/nhess-18-2969-2018
- Sensitivity of Storm-Induced Hazards in a Highly Curvilinear Coastline to Changing Storm Directions. The Tordera Delta Case (NW Mediterranean) M. Sanuy & J. Jiménez 10.3390/w11040747
- Coastal Flooding in the Balearic Islands During the Twenty-First Century Caused by Sea-Level Rise and Extreme Events P. Luque et al. 10.3389/fmars.2021.676452
- The Role of Different Total Water Level Definitions in Coastal Flood Modelling on a Low-Elevation Dune System P. Cabrita et al. 10.3390/jmse12061003
- Increasing Trend on Storm Wave Intensity in the Western Mediterranean K. Amarouche & A. Akpınar 10.3390/cli9010011
- Characteristics and coastal effects of a destructive marine storm in the Gulf of Naples (southern Italy) G. Mattei et al. 10.5194/nhess-21-3809-2021
- Probabilistic characterisation of coastal storm-induced risks using Bayesian networks M. Sanuy & J. Jiménez 10.5194/nhess-21-219-2021
Latest update: 02 Apr 2025
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.
To enable efficient coastal management, present and future scenarios must be included, risk...
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