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Local-scale post-event assessments with GPS and UAV-based quick-response surveys: a pilot case from the Emilia–Romagna (Italy) coast

机译:具有GPS和基于UAV的快速响应调查的本地规模后事件评估:来自Emilia-Romagna(意大利)海岸的试点案例

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摘要

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.
机译:由于极端风暴事件,沿海社区和资产暴露于洪水和侵蚀危害,这可能导致未来的气候因素导致强度。沿海经理人受到在灾难周期的所有阶段缓解风险的风险管理计划。这需要快速,节省时间的后海滩调查,该海滩调查在事件的后期后收集物理数据。此外,在通过个人访谈中列入当地利益相关者在评估过程中占据事件影响的社会维度。在本研究中,在2015年2月2日发生的极端气象事件的emilia-romagna(意大利)海岸的试点现场测试了当地的事件后评估的当地议定书。物理数据使用实时运动地理位置系统和无人驾驶空中车辆平台收集。通过在事件前,期间和之后的经验中收集定性信息,采访了当地利益相关者。本次事件的本地和区域调查之间的数据比较强调了当地的数据分辨率和准确性,为未来的这种幅度的事件提供了改进的风险评估。虽然不同技术方面的局部调查方法虽然可以改善区域调查,但在区域规模上改善风暴影响评估的数据分辨率和准确性,以便在减缓规划期间更好地告知沿海风险管理人员的数据分辨率和准确性。

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