Developing and pilot-testing warning messages for risk communication in natural disasters
Guadalupe Ortiz (),
Pablo Aznar-Crespo and
Antonio Aledo
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Guadalupe Ortiz: University of Alicante
Pablo Aznar-Crespo: University of Alicante
Antonio Aledo: University of Alicante
Environment Systems and Decisions, 2024, vol. 44, issue 2, 239-258
Abstract:
Abstract Early warning systems are an essential tool for managing flood emergencies. Alert and warning applications and mobile-phone messaging services have become increasingly widespread among major international emergency agencies as means of communicating risks to the population, and their effectiveness in reducing human and material damages during flood events is significant. Despite their crucial importance, one of the main challenges in the field of emergency communication is the lack of protocols for systematic and standardized production of warning messages. While emergency agencies produce messages on a diversity of topic areas, there are no protocols for structuring their content according to communication functions, exhaustive identification of the relevant areas of action, or classification of content according to different topics. With a view to this opportunity for improvement, the aim of this article is to propose a method for creating a catalog of warning messages enabling their systematic composition and organization. To exemplify the successive stages in the development of such a catalog, we present here the resources and methodological process followed by the authors of this article when commissioned with this task by the emergency services of the Valencian Autonomous Region (south-east Spain) for flood-risk communication. The warning message catalog was pilot tested with experts and user focus groups. Developing warning message catalogs offers a vital resource that can enhance the outreach and operability of warning systems in the current context of increased flood risk due to climate change.
Keywords: Early warning; Alerts; Flood; Natural hazard; Vulnerability; Non-structural measures (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10669-023-09924-z
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