Short-Term Eruption Forecasting for Crisis Decision-Support in the Auckland Volcanic Field, New Zealand

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dc.citation.volume10
dc.contributor.authorWild AJ
dc.contributor.authorBebbington MS
dc.contributor.authorLindsay JM
dc.contributor.editorWright HM
dc.date.accessioned2023-11-02T21:53:42Z
dc.date.accessioned2023-11-03T04:55:26Z
dc.date.available2022-05-24
dc.date.available2023-11-02T21:53:42Z
dc.date.available2023-11-03T04:55:26Z
dc.date.issued2022-05-24
dc.description.abstractAuckland, a city of 1.6 million people, is situated atop the active monogenetic Auckland Volcanic Field (AVF). Thus, short-term eruption forecasting is critical to support crisis management in a future event, especially to inform decisions such as calling evacuations. Here we present an updated BET_EF for the AVF incorporating new data and the results of an expert-opinion workshop, and test the performance of the resulting BETEF_AVF on eight hypothetical eruption scenarios with pre-eruptive sequences. We carry out a sensitivity analysis into the selection of prior distributions for key model parameters to explore the utility of using BET_EF outputs as a potential input for evacuation decision making in areas of distributed volcanism such as the AVF. BETEF_AVF performed well based on the synthetic unrest dataset for assessing the probability of eruption, with the vent outbreaks eventuating within the zone of high spatial likelihood. Our analysis found that the selection of different spatial prior model inputs affects the estimated vent location due to the weighting between prior models and monitoring inputs within the BET_EF, which as unrest escalates may not be appropriate for distributed volcanic fields. This issue is compounded when the outputs are combined with cost-benefit analysis to inform evacuation decisions, leading to areas well beyond those with observed precursory activity being included in evacuation zones. We find that several default settings used in past work for the application of BET_EF and CBA to inform evacuation decision-support are not suitable for distributed volcanism; in particular, the default 50-50 weighting between priors and monitoring inputs for assessing spatial vent location does not produce useful results. We conclude by suggesting future cost-benefit analysis applications in volcanic fields appropriately consider the spatial and temporal variability and uncertainty characteristic of such systems.
dc.description.confidentialfalse
dc.identifier.citationWild AJ, Bebbington MS, Lindsay JM. (2022). Short-Term Eruption Forecasting for Crisis Decision-Support in the Auckland Volcanic Field, New Zealand. Frontiers in Earth Science. 10.
dc.identifier.doi10.3389/feart.2022.893882
dc.identifier.eissn2296-6463
dc.identifier.elements-typejournal-article
dc.identifier.number893882
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/69030
dc.languageEnglish
dc.publisherFrontiers Media S.A.
dc.publisher.urihttps://www.frontiersin.org/articles/10.3389/feart.2022.893882/full
dc.relation.isPartOfFrontiers in Earth Science
dc.rights(c) 2022 The Author/s
dc.rightsCC BY
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjecteruption forecasting
dc.subjectayesian event tree
dc.subjectvolcanic hazard
dc.subjectdecision-support
dc.subjectevacuation
dc.subjectevent tree
dc.titleShort-Term Eruption Forecasting for Crisis Decision-Support in the Auckland Volcanic Field, New Zealand
dc.typeJournal article
pubs.elements-id454654
pubs.organisational-groupOther
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