Local-scale post-event assessments with GPS and UAV-based quick-response surveys: a pilot case from the Emilia–Romagna (Italy) coast
<p>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 phas...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2018-11-01
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Series: | Natural Hazards and Earth System Sciences |
Online Access: | https://www.nat-hazards-earth-syst-sci.net/18/2969/2018/nhess-18-2969-2018.pdf |
Summary: | <p>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.</p> |
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ISSN: | 1561-8633 1684-9981 |