Articles | Volume 20, issue 1
https://doi.org/10.5194/nhess-20-149-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-20-149-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Jan 2020
Research article |
| 14 Jan 2020
| 14 Jan 2020
Construction of regional multi-hazard interaction frameworks, with an application to Guatemala
Global Geoscience, British Geological Survey, Keyworth, NG12 5GG, UK
Bruce D. Malamud
Department of Geography, King's College London, London, WC2B 4BG,
UK
Edy Manolo Barillas
UN Office for the Coordination of Humanitarian Affairs, Guatemala
City, Guatemala
Alex Guerra Noriega
Instituto Privado de Investigación sobre Cambio Climático,
Guatemala City, Guatemala
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- Multi-hazard risk characterization and collaborative control oriented to space in non-coal underground mines M. Wu et al. 10.1038/s41598-022-20437-8
- A new method to compile global multi-hazard event sets J. Claassen et al. 10.1038/s41598-023-40400-5
- Invited perspectives: Building sustainable and resilient communities – recommended actions for natural hazard scientists J. Gill et al. 10.5194/nhess-21-187-2021
- Construction of a national natural hazard interaction framework: The case of Sweden V. Sköld Gustafsson et al. 10.1016/j.isci.2023.106501
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- Multi-hazard susceptibility mapping for disaster risk reduction in Kargil-Ladakh Region of Trans-Himalayan India M. Akbar et al. 10.1007/s12665-022-10729-7
- Communicational responses for compound natural hazards: A systematic review N. Nemeth et al. 10.1016/j.ijdrr.2024.105041
- Spatial identification of regions exposed to multi-hazards at the pan-European level T. Antofie et al. 10.5194/nhess-25-287-2025
- Simulating Multihazard Interactions Using Higher-Order Network Analysis E. Opabola 10.1061/NHREFO.NHENG-2043
- Proposing DAPP-MR as a disaster risk management pathways framework for complex, dynamic multi-risk J. Schlumberger et al. 10.1016/j.isci.2022.105219
- Community Perception and Communication of Volcanic Risk from the Cotopaxi Volcano in Latacunga, Ecuador J. Gomez-Zapata et al. 10.3390/su13041714
- Caught Between Extremes: Understanding Human‐Water Interactions During Drought‐To‐Flood Events in the Horn of Africa A. Matanó et al. 10.1029/2022EF002747
- A methodology to compile multi-hazard interrelationships in a data-scarce setting: an application to the Kathmandu Valley, Nepal H. Thompson et al. 10.5194/nhess-25-353-2025
- Towards a Disaster Risk Management Pathways Framework for Complex and Dynamic Multi-Risk: DAPP-MR J. Schlumberger et al. 10.2139/ssrn.4164233
- A dynamic Bayesian network approach to characterize multi-hazard risks and resilience in interconnected critical infrastructures S. Bakhtiari et al. 10.1016/j.ress.2025.110815
17 citations as recorded by crossref.
- Invited perspectives: A research agenda towards disaster risk management pathways in multi-(hazard-)risk assessment P. Ward et al. 10.5194/nhess-22-1487-2022
- Integrated Bayesian Network and Strongest Path Method (BN-SPM) for effective multi-hazard risk assessment of interconnected infrastructure systems S. Bakhtiari et al. 10.1016/j.scs.2024.105294
- Multi-hazard risk characterization and collaborative control oriented to space in non-coal underground mines M. Wu et al. 10.1038/s41598-022-20437-8
- A new method to compile global multi-hazard event sets J. Claassen et al. 10.1038/s41598-023-40400-5
- Invited perspectives: Building sustainable and resilient communities – recommended actions for natural hazard scientists J. Gill et al. 10.5194/nhess-21-187-2021
- Construction of a national natural hazard interaction framework: The case of Sweden V. Sköld Gustafsson et al. 10.1016/j.isci.2023.106501
- Between global risk reduction goals, scientific–technical capabilities and local realities: a modular approach for user-centric multi-risk assessment E. Schoepfer et al. 10.5194/nhess-24-4631-2024
- Multi-hazard susceptibility mapping for disaster risk reduction in Kargil-Ladakh Region of Trans-Himalayan India M. Akbar et al. 10.1007/s12665-022-10729-7
- Communicational responses for compound natural hazards: A systematic review N. Nemeth et al. 10.1016/j.ijdrr.2024.105041
- Spatial identification of regions exposed to multi-hazards at the pan-European level T. Antofie et al. 10.5194/nhess-25-287-2025
- Simulating Multihazard Interactions Using Higher-Order Network Analysis E. Opabola 10.1061/NHREFO.NHENG-2043
- Proposing DAPP-MR as a disaster risk management pathways framework for complex, dynamic multi-risk J. Schlumberger et al. 10.1016/j.isci.2022.105219
- Community Perception and Communication of Volcanic Risk from the Cotopaxi Volcano in Latacunga, Ecuador J. Gomez-Zapata et al. 10.3390/su13041714
- Caught Between Extremes: Understanding Human‐Water Interactions During Drought‐To‐Flood Events in the Horn of Africa A. Matanó et al. 10.1029/2022EF002747
- A methodology to compile multi-hazard interrelationships in a data-scarce setting: an application to the Kathmandu Valley, Nepal H. Thompson et al. 10.5194/nhess-25-353-2025
- Towards a Disaster Risk Management Pathways Framework for Complex and Dynamic Multi-Risk: DAPP-MR J. Schlumberger et al. 10.2139/ssrn.4164233
- A dynamic Bayesian network approach to characterize multi-hazard risks and resilience in interconnected critical infrastructures S. Bakhtiari et al. 10.1016/j.ress.2025.110815
Latest update: 06 Mar 2025
Short summary
This paper describes a replicable approach for characterising interactions between natural hazards. Guatemala is exposed to multiple natural hazards, which do not always occur independently. There can be interactions between natural hazards. For example, one hazard may trigger multiple secondary hazards, which can subsequently trigger further hazards. Here we use diverse evidence of such interactions to construct matrices of hazard interactions in Guatemala at national and sub-national scales.
This paper describes a replicable approach for characterising interactions between natural...
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