Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/28975
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dc.contributor.authorLee, R-
dc.contributor.authorWhite, CJ-
dc.contributor.authorAdnan, MSG-
dc.contributor.authorDouglas, J-
dc.contributor.authorMahecha, MD-
dc.contributor.authorO'Loughlin, FE-
dc.contributor.authorPatelli, E-
dc.contributor.authorRamos, AM-
dc.contributor.authorRoberts, MJ-
dc.contributor.authorMartius, O-
dc.contributor.authorTubaldi, E-
dc.contributor.authorvan den Hurk, B-
dc.contributor.authorWard, PJ-
dc.contributor.authorZscheischler, J-
dc.date.accessioned2024-05-10T11:12:34Z-
dc.date.available2024-05-10T11:12:34Z-
dc.date.issued2023-12-07-
dc.identifierORCiD: Mohammed Sarfaraz Gani Adnan https://orcid.org/0000-0002-7276-1891-
dc.identifier169120-
dc.identifier.citationLee, R. et al. (2024) 'Reclassifying historical disasters: From single to multi-hazards', Science of the Total Environment, 912, 169120, pp. 1 - 13. doi: 10.1016/j.scitotenv.2023.169120.en_US
dc.identifier.issn0048-9697-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/28975-
dc.descriptionData availability: Data will be made available on request.en_US
dc.description.abstractMulti-hazard events, characterized by the simultaneous, cascading, or cumulative occurrence of multiple natural hazards, pose a significant threat to human lives and assets. This is primarily due to the cumulative and cascading effects arising from the interplay of various natural hazards across space and time. However, their identification is challenging, which is attributable to the complex nature of natural hazard interactions and the limited availability of multi-hazard observations. This study presents an approach for identifying multi-hazard events during the past 123 years (1900–2023) using the EM-DAT global disaster database. Leveraging the ‘associated hazard’ information in EM-DAT, multi-hazard events are detected and assessed in relation to their frequency, impact on human lives and assets, and reporting trends. The interactions between various combinations of natural hazard pairs are explored, reclassifying them into four categories: preconditioned/triggering, multivariate, temporally compounding, and spatially compounding multi-hazard events. The results show, globally, approximately 19 % of the 16,535 disasters recorded in EM-DAT can be classified as multi-hazard events. However, the multi-hazard events recorded in EM-DAT are disproportionately responsible for nearly 59 % of the estimated global economic losses. Conversely, single hazard events resulted in higher fatalities compared to multi-hazard events. The largest proportion of multi-hazard events are associated with floods, storms, and earthquakes. Landslides emerge as the predominant secondary hazards within multi-hazard pairs, primarily triggered by floods, storms, and earthquakes, with the majority of multi-hazard events exhibiting preconditioned/triggering and multivariate characteristics. There is a higher prevalence of multi-hazard events in Asia and North America, whilst temporal overlaps of multiple hazards predominate in Europe. These results can be used to increase the integration of multi-hazard thinking in risk assessments, emergency management response plans and mitigation policies at both national and international levels.en_US
dc.description.sponsorshipThe authors acknowledge the European COST Action DAMOCLES (CA17109). CJW, MSGA, JD, MJR and ET were supported by the European Union's Horizon Europe ‘Multi-hazard and risk informed system for Enhanced local and regional Disaster risk management (MEDiate)’ project under grant agreement no. 10049641. CJW also acknowledges support from the NERC Global Partnerships Seedcorn Fund ‘EMERGE’ project though grant no. NE/W003775/1. PJW received support from the MYRIAD-EU project, which received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no. 101003276. MDM and JZ received support from the European Union's Horizon 2020 research and innovation programme under grant agreement no. 101003469 (XAIDA). AMR was supported by the Helmholtz ‘Changing Earth’ program and acknowledges the Portuguese Science Foundation (FCT) through the project AMOTHEC (DRI/India/0098/2020).en_US
dc.format.extent1 - 13-
dc.format.mediumPrint-Electronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.rightsCopyright © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/).-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectmulti-hazardsen_US
dc.subjectEM-DATen_US
dc.subjectimpactsen_US
dc.subjectnatural hazarden_US
dc.subjectcompound eventsen_US
dc.titleReclassifying historical disasters: From single to multi-hazardsen_US
dc.typeArticleen_US
dc.date.dateAccepted2023-12-03-
dc.identifier.doihttps://doi.org/10.1016/j.scitotenv.2023.169120-
dc.relation.isPartOfScience of the Total Environment-
pubs.publication-statusPublished-
pubs.volume912-
dc.identifier.eissn1879-1026-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/legalcode.en-
dc.rights.holderThe Authors-
Appears in Collections:Dept of Civil and Environmental Engineering Research Papers

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