Abstract

This study presents a new method, the MYRIAD-Hazard Event Sets Algorithm (MYRIAD-HESA), that compiles historically-based multi-hazard event sets. MYRIAD-HESA is a fully open-access method that can create multi-hazard event sets from any hazard events that occur on varying time, space, and intensity scales. In the past, multi-hazards have predominately been studied on a local or continental scale, or have been limited to specific hazard combinations, such as the combination between droughts and heatwaves. Therefore, we exemplify our approach by compiling a global multi-hazard event set database, spanning from 2004 to 2017, which includes eleven hazards from varying hazard classes (e.g. meteorological, geophysical, hydrological and climatological). This global database provides new scientific insights on the frequency of different multi-hazard events and their hotspots. Additionally, we explicitly incorporate a temporal dimension in MYRIAD-HESA, the time-lag. The time-lag, or time between the occurrence of hazards, is used to determine potentially impactful events that occurred in close succession. Varying time-lags have been tested in MYRIAD-HESA, and are analysed using North America as a case study. Alongside the MYRIAD-HESA, the multi-hazard event sets, MYRIAD-HES, is openly available to further increase the understanding of multi-hazard events in the disaster risk community. The open-source nature of MYRIAD-HESA provides flexibility to conduct multi-risk assessments by, for example, incorporating higher resolution data for an area of interest.

Details

Title
A new method to compile global multi-hazard event sets
Author
Claassen, Judith N. 1 ; Ward, Philip J. 2 ; Daniell, James 3 ; Koks, Elco E. 1 ; Tiggeloven, Timothy 1 ; de Ruiter, Marleen C. 1 

 Vrije Universiteit Amsterdam, Institute for Environmental Studies, Amsterdam, The Netherlands (GRID:grid.12380.38) (ISNI:0000 0004 1754 9227) 
 Vrije Universiteit Amsterdam, Institute for Environmental Studies, Amsterdam, The Netherlands (GRID:grid.12380.38) (ISNI:0000 0004 1754 9227); Deltares, Delft, The Netherlands (GRID:grid.6385.8) (ISNI:0000 0000 9294 0542) 
 Risklayer GmbH, Karlsruhe, Germany (GRID:grid.6385.8); Karlsruhe Institute of Technology, CEDIM, Karlsruhe, Germany (GRID:grid.7892.4) (ISNI:0000 0001 0075 5874) 
Pages
13808
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2856166683
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.