Multi-hazards Scenario Generator: Difference between revisions
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'''Year of publication''': 2021 | '''Year of publication''': 2021 | ||
'''Access''': Publication is behind a paywall. The methodology is an early stage of development | '''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 | '''Link''': Publication (behind a pay-wall) https://doi.org/10.1111/risa.13723 | ||
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'''Description''' | '''Description''' | ||
[https://doi.org/10.1111/risa.13723 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. | 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. | 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''' | '''Technical considerations''' | ||
Latest revision as of 12:40, 10 October 2022
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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