Abstract
Coastal communities and assets are exposed to flooding and erosion hazards due to extreme storm events, which may increase in intensity due to climatological factors in the incoming future. Coastal managers are tasked with developing risk-management plans mitigating risk during all phases of the disaster cycle. This necessitates rapid, time-efficient post-event beach surveys that collect physical data in the immediate aftermath of an event. Additionally, the inclusion of local stakeholders in the assessment process via personal interviews captures the social dimension of the impact of the event. In this study, a local protocol for post-event assessment, the quick-response protocol, was tested on a pilot site on the Emilia-Romagna (Italy) coast in the aftermath of an extreme meteorological event that occurred in February 2015. Physical data were collected using both real-time kinematic Geographical Positions Systems and unmanned aerial vehicle platforms. Local stakeholders were interviewed by collecting qualitative information on their experiences before, during, and after the event. Data comparisons between local and regional surveys of this event highlighted higher data resolution and accuracy at the local level, enabling improved risk assessment for future events of this magnitude. The local survey methodology, although improvable from different technical aspects, can be readily integrated into regional surveys for improved data resolution and accuracy of storm impact assessments on the regional scale to better inform coastal risk managers during mitigation planning.
| Original language | English |
|---|---|
| Pages (from-to) | 2969-2989 |
| Number of pages | 21 |
| Journal | Natural Hazards and Earth System Sciences |
| Volume | 18 |
| Issue number | 11 |
| DOIs | |
| Publication status | Published (in print/issue) - 12 Nov 2018 |
Funding
Acknowledgements. Enrico Duo and Paolo Ciavola were supported by the EU FP7 RISC-KIT (“Resilience-increasing Strategies for Coasts – Toolkit”; GA 603458; www.risckit.eu, last access: 25 October 2018) project during field activities and data analysis, and the EU H2020 ANYWHERE (EnhANcing emergencY management and response to extreme WeatHER and climate Events; GA 700099; www.anywhere-h2020.eu, last access: 25 October 2018) project during the manuscript preparation and review process. The work was facilitated by a sabbatical grant to Arthur C. Trembanis. Acquisition and utilization of the UAV system was made possible through funding from the UNIDEL foundation and from NOAA Sea Grant project NOAA SG-2016-18 RRCE-8 TREMBANIS. The authors are also thankful to Clara Armaroli, Duccio Bertoni, Mohammad Muslim Uddin, and Sarah Trembanis for their help in gathering data in the field and to Marc Sanuy, Ap Van Dongeren, and Tom Spencer for their valuable comments and suggestions during the preparation of the manuscript.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
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SDG 13 Climate Action
Keywords
- UAV
- Storm impact
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