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Warning and evacuation, case studies from Japan, Philippines and Dominica

Faure Walker, J; Yore, R; (2021) Warning and evacuation, case studies from Japan, Philippines and Dominica. Presented at: vEGU21, the 23rd EGU General Assembly, Online conference. Green open access

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Abstract

In order to be effective, warning systems need to both reach those at risk and prompt appropriate action. We study the efficacy of early warning systems in prompting residents to take appropriate action ahead of severe hazards in island countries that experience regular disasters, namely following the Great East Japan Earthquake and Tsunami in Japan, Typhoon Yolanda in The Phillippines, and Hurricane Maria in Dominica. All these events were extreme in their impact and in addition had aspects which surprised residents such as the size of the tsunami, the strom surge and the late change in intensity which provided challenges with warning. We find that multiple forms of warning are needed in order for the whole population to be reached as no one form of warning reaches everyone. The timing of the warning is important for evacuation decisions including who stays and who evacuates. It is important that the whole cycle of a warning system is considered, and that it is viewed as a process, such that we consider the scientific, communications, social and infrastructure aspects of warning systems.

Type: Poster
Title: Warning and evacuation, case studies from Japan, Philippines and Dominica
Event: vEGU21, the 23rd EGU General Assembly
Location: Online conference
Dates: 19 - 30 April 2021
Open access status: An open access version is available from UCL Discovery
Publisher version: https://www.egu21.eu/
Language: English
Keywords: warning, evacuation, warning system, Typhoon Yolanda, Great East Japan Earthquake, Hurricane Maria
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Inst for Risk and Disaster Reduction
URI: https://discovery.ucl.ac.uk/id/eprint/10137454
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