Articles | Volume 19, issue 1
https://doi.org/10.5194/nhess-19-287-2019
© Author(s) 2019. 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-19-287-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Jan 2019
Research article |
| 30 Jan 2019
| 30 Jan 2019
Coastal vulnerability assessment: through regional to local downscaling of wave characteristics along the Bay of Lalzit (Albania)
Francesco De Leo
CORRESPONDING AUTHOR
Dept. of Civil, Chemical and Environmental Engineering, University of Genoa, Genoa, 16145, Italy
Giovanni Besio
Dept. of Civil, Chemical and Environmental Engineering, University of Genoa, Genoa, 16145, Italy
Guido Zolezzi
UNESCO Chair in Engineering for Human and Sustainable Development, Dept. of Civil,
Environmental and Mechanical Engineering, University of Trento, Trento, 38123, Italy
Marco Bezzi
UNESCO Chair in Engineering for Human and Sustainable Development, Dept. of Civil,
Environmental and Mechanical Engineering, University of Trento, Trento, 38123, Italy
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Cited
16 citations as recorded by crossref.
- Uncertainty assessment of significant wave height return levels downscaling for coastal application F. De Leo et al. 10.1016/j.apor.2022.103303
- Detection and quantification of trends in time series of significant wave heights: An application in the Mediterranean Sea F. De Leo et al. 10.1016/j.oceaneng.2020.107155
- Trends and variability of ocean waves under RCP8.5 emission scenario in the Mediterranean Sea F. De Leo et al. 10.1007/s10236-020-01419-8
- Performance evaluation of a global CMIP6 single forcing, multi wave model ensemble of wave climate simulations G. Lemos et al. 10.1016/j.ocemod.2023.102237
- Combining Numerical Simulations and Normalized Scalar Product Strategy: A New Tool for Predicting Beach Inundation M. Postacchini & G. Ludeno 10.3390/jmse7090325
- Coastal Vulnerability Mapping by Integrating Geospatial Techniques and Analytical Hierarchy Process (AHP) along the Vishakhapatnam Coastal Tract, Andhra Pradesh, India M. Baig et al. 10.1007/s12524-020-01204-6
- Assessing the coastal hazard of Medicane Ianos through ensemble modelling C. Ferrarin et al. 10.5194/nhess-23-2273-2023
- A model chain approach for coastal inundation: Application to the bay of Alghero M. Postacchini et al. 10.1016/j.ecss.2019.01.013
- Wave modeling with unstructured mesh for hindcast, forecast and wave hazard applications in the Mediterranean Sea A. Lira-Loarca et al. 10.1016/j.apor.2022.103118
- Parameterization-Driven Uncertainties in Single-Forcing, Single-Model Wave Climate Projections from a CMIP6-Derived Dynamic Ensemble R. Kumar et al. 10.3390/cli10040051
- Dynamical Downscaling of ERA5 Data on the North-Western Mediterranean Sea: From Atmosphere to High-Resolution Coastal Wave Climate V. Vannucchi et al. 10.3390/jmse9020208
- Spatial calibration of an unstructured SWAN model forced with CFSR and ERA5 winds for the Black and Azov Seas K. Amarouche et al. 10.1016/j.apor.2021.102962
- Integrated sea storm management strategy: the 29 October 2018 event in the Adriatic Sea C. Ferrarin et al. 10.5194/nhess-20-73-2020
- Assessing Coastal Vulnerability to Storms: A Case Study on the Coast of Thrace, Greece I. Chalmoukis 10.3390/jmse11081490
- Monitoring and Modelling Coastal Vulnerability and Mitigation Proposal for an Archaeological Site (Kaulonia, Southern Italy) D. Di Luccio et al. 10.3390/su10062017
- Global long-term observations of coastal erosion and accretion L. Mentaschi et al. 10.1038/s41598-018-30904-w
14 citations as recorded by crossref.
- Uncertainty assessment of significant wave height return levels downscaling for coastal application F. De Leo et al. 10.1016/j.apor.2022.103303
- Detection and quantification of trends in time series of significant wave heights: An application in the Mediterranean Sea F. De Leo et al. 10.1016/j.oceaneng.2020.107155
- Trends and variability of ocean waves under RCP8.5 emission scenario in the Mediterranean Sea F. De Leo et al. 10.1007/s10236-020-01419-8
- Performance evaluation of a global CMIP6 single forcing, multi wave model ensemble of wave climate simulations G. Lemos et al. 10.1016/j.ocemod.2023.102237
- Combining Numerical Simulations and Normalized Scalar Product Strategy: A New Tool for Predicting Beach Inundation M. Postacchini & G. Ludeno 10.3390/jmse7090325
- Coastal Vulnerability Mapping by Integrating Geospatial Techniques and Analytical Hierarchy Process (AHP) along the Vishakhapatnam Coastal Tract, Andhra Pradesh, India M. Baig et al. 10.1007/s12524-020-01204-6
- Assessing the coastal hazard of Medicane Ianos through ensemble modelling C. Ferrarin et al. 10.5194/nhess-23-2273-2023
- A model chain approach for coastal inundation: Application to the bay of Alghero M. Postacchini et al. 10.1016/j.ecss.2019.01.013
- Wave modeling with unstructured mesh for hindcast, forecast and wave hazard applications in the Mediterranean Sea A. Lira-Loarca et al. 10.1016/j.apor.2022.103118
- Parameterization-Driven Uncertainties in Single-Forcing, Single-Model Wave Climate Projections from a CMIP6-Derived Dynamic Ensemble R. Kumar et al. 10.3390/cli10040051
- Dynamical Downscaling of ERA5 Data on the North-Western Mediterranean Sea: From Atmosphere to High-Resolution Coastal Wave Climate V. Vannucchi et al. 10.3390/jmse9020208
- Spatial calibration of an unstructured SWAN model forced with CFSR and ERA5 winds for the Black and Azov Seas K. Amarouche et al. 10.1016/j.apor.2021.102962
- Integrated sea storm management strategy: the 29 October 2018 event in the Adriatic Sea C. Ferrarin et al. 10.5194/nhess-20-73-2020
- Assessing Coastal Vulnerability to Storms: A Case Study on the Coast of Thrace, Greece I. Chalmoukis 10.3390/jmse11081490
2 citations as recorded by crossref.
Latest update: 19 Apr 2024
Short summary
This paper reviews the computation of vulnerability levels (VLs) of a coast to inundation with a known model. We refer to the original proposal, detailing the VL computation through an accurate investigation of the local wave climate. We prove that the resulting vulnerability is very sensitive due to the wave features taken into account, which have to be properly assessed. The research is the follow-up of a wider project set along the Bay of Lalzit (Albania).
This paper reviews the computation of vulnerability levels (VLs) of a coast to inundation with a...
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