Multi-hazards Scenario Generator: Difference between revisions

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<strong>Multi-hazards Scenario Generator</strong>
{{MHRA
|Publication Year=2021
|Access=Paid
|Link=https://doi.org/10.1111/risa.13723
|Author(s)=Dunant, A., Bebbington, M., Davies, T. and Horton, P.
|Organisation(s)=University of Canterbury; Massey University; University of Bern
|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.


'''Year of publication''': 2021
This framework is in early stages of development, therefore is not open access. The supporting publication is also not open access.


'''Access''': Publication is behind a paywall. The methodology is an early stage of development, therefore the framework not yet available. 
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
'''Link''': Publication (behind a pay-wall) 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'''
[[Category:Multi-hazard Risk Assessment]]
 
[[Category:Multi-hazard Risk Management]]
A framework that uses graphs (networks) and a complex systems approach to identify the interactions between multiple hazards, and models potential multi-hazard impacts by considering a number of disaster scenarios. A network of interconnected hazard nodes (footprint, source) and exposed nodes (e.g. houses, roads) is generated and disaster scenarios modelled by cascading events from node to node, with relationships determined through a set of rules and conditions. Each scenario is a single hazard scenario, and impacts are combined in a database.  However, it can be applied for multi-hazards, by modelling the cascading impacts from one node to another, based on frequency and magnitude thresholds.
 
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 impacts. 
 
In theory, this framework can provide an understanding of complex interrelated hazards and cascading impacts that can be useful for disaster risk managers for preparedness and planning.
 
'''Technical considerations'''
 
This is an early stage of development, therefore the framework not yet available.
 
'''Keywords'''
 
multi-hazards; impact assessment; infrastructure; disaster scenarios
 
Back to '''[[Multi-hazard Risk Management]]'''

Latest revision as of 17:07, 4 April 2025

Publication Year: 2021

Access: Paid

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

Author(s): Dunant, A., Bebbington, M., Davies, T. and Horton, P.

Organisation(s)/Authors: University of Canterbury; Massey University; University of Bern

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