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Reclassifying historical disasters: From single to multi-hazards: Difference between revisions
(Created page with "<div style="text-align:justify"> '''Year of publication''': 2024 '''Access''': Open '''Link''': https://www.sciencedirect.com/science/article/pii/S0048969723077501 '''Organisation(s) / Author(s)''': Ryan Lee, Christopher J. White, Mohammed Sarfaraz Gani Adnan, John Douglas, Miguel D. Mahecha, Fiachra E. O'Loughlin, Edoardo Patelli, Alexandre M. Ramos, Matthew J. Roberts, Olivia Martius, Enrico Tubaldi, Bart van den Hurk, Philip J. Ward, Jakob Zscheischler '''Descript...") |
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Revision as of 14:52, 11 March 2024
Year of publication: 2024
Access: Open
Link: https://www.sciencedirect.com/science/article/pii/S0048969723077501
Organisation(s) / Author(s): Ryan Lee, Christopher J. White, Mohammed Sarfaraz Gani Adnan, John Douglas, Miguel D. Mahecha, Fiachra E. O'Loughlin, Edoardo Patelli, Alexandre M. Ramos, Matthew J. Roberts, Olivia Martius, Enrico Tubaldi, Bart van den Hurk, Philip J. Ward, Jakob Zscheischler
Description
This research paper aims to present a framework for identifying multi-hazard events from a global disaster database and reclassifying them into different categories. EM-DAT data is used to identify and classify multi-hazard events from 1900 to 2023 at a global scale.
Technical considerations
The study defines multi-hazard events as simultaneous, cascading, or cumulative occurrence of multiple natural hazards. Data is available on request.
Keywords
Multi-hazards, EM-DAT, Impacts, Natural hazard, Compound events
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