Multi-hazards Scenario Generator: Difference between revisions

Revision as of 17:02, 25 March 2025

Publication Year: 2021

Access: Paid

Link: https://doi.org/10.1111/risa.13723

Author(s):

Organisation(s)/Authors:

Description:

Dunant et al. (2021) demonstrate a framework that uses graph theory and networks to generate and model potential impacts of multi-hazard scenarios. The framework first generates a hazard network from hazard footprints and exposed nodes (e.g. houses, roads) then the compounded impact from a sequence of hazards is modelled by iterative simulation of the network using hazard magnitudes. This framework is in early stages of development, therefore is not open access. The supporting publication is also not open access. The framework has been trialed with respect to the 2016 Kaikōura earthquake in New Zealand, with multi-hazard impacts resulting from the earthquake, intense rainfall and landslides. The results showed that the method is able to generate realistic multi-hazard disaster scenarios and scales of impacts.

Technical Considerations:

Key Words:

multi-hazards; impact assessment; infrastructure; disaster scenarios

Year of publication: 2021

Access: Publication is behind a paywall. The methodology is in an early stage of development and therefore the framework is not yet available.

Link: Publication (behind a pay-wall) https://doi.org/10.1111/risa.13723

Organisation(s) / Author(s): Department of Geological Sciences, University of Canterbury, New Zealand; Institute of Fundamental Sciences, Massey University, New Zealand; Institute of Geography, University of Bern, Switzerland

Description

Dunant et al. (2021) demonstrate a framework that uses graph theory and networks to generate and model potential impacts of multi-hazard scenarios. The framework first generates a hazard network from hazard footprints and exposed nodes (e.g. houses, roads) then the compounded impact from a sequence of hazards is modelled by iterative simulation of the network using hazard magnitudes.

This framework is in early stages of development, therefore is not open access. The supporting publication is also not open access.

The framework has been trialed with respect to the 2016 Kaikōura earthquake in New Zealand, with multi-hazard impacts resulting from the earthquake, intense rainfall and landslides. The results showed that the method is able to generate realistic multi-hazard disaster scenarios and scales of impacts.

Technical considerations

This is an early stage of development, therefore the framework not yet available.

Keywords

multi-hazards; impact assessment; infrastructure; disaster scenarios

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+{{MHRA
+|Publication Year=2021
+|Access=Paid
+|Link=https://doi.org/10.1111/risa.13723
+|Organisation(s)/Authors=Department of Geological Sciences, University of Canterbury, New Zealand; Institute of Fundamental Sciences, Massey University, New Zealand; Institute of Geography, University of Bern, Switzerland
+|Description=Dunant et al. (2021) demonstrate a framework that uses graph theory and networks to generate and model potential impacts of multi-hazard scenarios. The framework first generates a hazard network from hazard footprints and exposed nodes (e.g. houses, roads) then the compounded impact from a sequence of hazards is modelled by iterative simulation of the network using hazard magnitudes.
+This framework is in early stages of development, therefore is not open access. The supporting publication is also not open access.
+The framework has been trialed with respect to the 2016 Kaikōura earthquake in New Zealand, with multi-hazard impacts resulting from the earthquake, intense rainfall and landslides. The results showed that the method is able to generate realistic multi-hazard disaster scenarios and scales of impacts.
+|Key Words=multi-hazards; impact assessment; infrastructure; disaster scenarios
+}}
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 '''Year of publication''': 2021