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A framework for research on recurrent acute disasters.

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Recurrent acute disasters (RADs) are sequential hazardous events. Understanding RADs, using a new framework tested in Puerto Rico, can improve disaster preparedness and response.

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Area of Science:

  • Disaster science, encompassing the study of hazardous events like hurricanes, wildfires, and industrial accidents.
  • Interdisciplinary research integrating mathematical topology and disturbance ecology principles.

Background:

  • Increasing frequency and intensity of individual disasters globally.
  • Recurrent acute disasters (RADs) are sequential events impacting specific locations over time.
  • Current understanding of RADs is fragmented across disciplines and lacks predictive capability.

Purpose of the Study:

  • To present a theoretical framework for understanding Recurrent Acute Disasters (RADs).
  • To test the proposed framework using the 2017-2020 recurrent disasters in Puerto Rico as a case example.
  • To enhance the predictive power and interdisciplinary understanding of RADs.

Main Methods:

  • Development of a theoretical framework drawing from mathematical topology and disturbance ecology.
  • Application of the framework to analyze the sequence of disasters in Puerto Rico (2017-2020).
  • Identification of legacy conditions from prior disasters as a key variable influencing subsequent events.

Main Results:

  • The framework effectively analyzes the complex interplay of sequential disasters.
  • Legacy conditions created by one disaster significantly influence the impact of subsequent events.
  • Puerto Rico's disaster experiences (2017-2020) serve as a valid case study for the RAD framework.

Conclusions:

  • A Recurrent Acute Disaster (RAD)-based approach offers substantial improvements for disaster response, recovery, and preparedness.
  • Integrating insights from topology and ecology provides a robust theoretical foundation for disaster science.
  • Further research adopting this framework can enhance resilience in disaster-prone regions.