Short-Term Eruption Forecasting for Crisis Decision-Support in the Auckland Volcanic Field, New Zealand
Auckland, 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_...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-05-01
|
Series: | Frontiers in Earth Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2022.893882/full |
_version_ | 1811256619868094464 |
---|---|
author | Alec J. Wild Mark S. Bebbington Jan M. Lindsay |
author_facet | Alec J. Wild Mark S. Bebbington Jan M. Lindsay |
author_sort | Alec J. Wild |
collection | DOAJ |
description | Auckland, 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. |
first_indexed | 2024-04-12T17:43:03Z |
format | Article |
id | doaj.art-0cf1aa9c6f104b64b774bc160061318b |
institution | Directory Open Access Journal |
issn | 2296-6463 |
language | English |
last_indexed | 2024-04-12T17:43:03Z |
publishDate | 2022-05-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Earth Science |
spelling | doaj.art-0cf1aa9c6f104b64b774bc160061318b2022-12-22T03:22:44ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632022-05-011010.3389/feart.2022.893882893882Short-Term Eruption Forecasting for Crisis Decision-Support in the Auckland Volcanic Field, New ZealandAlec J. Wild0Mark S. Bebbington1Jan M. Lindsay2School of Environment, University of Auckland, Auckland, New ZealandVolcanic Risk Solutions, School of Agriculture and Environment, Massey University, Palmerston North, New ZealandSchool of Environment, University of Auckland, Auckland, New ZealandAuckland, 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.https://www.frontiersin.org/articles/10.3389/feart.2022.893882/fulleruption forecastingbayesian event treevolcanic hazarddecision-supportevacuationevent tree |
spellingShingle | Alec J. Wild Mark S. Bebbington Jan M. Lindsay Short-Term Eruption Forecasting for Crisis Decision-Support in the Auckland Volcanic Field, New Zealand Frontiers in Earth Science eruption forecasting bayesian event tree volcanic hazard decision-support evacuation event tree |
title | Short-Term Eruption Forecasting for Crisis Decision-Support in the Auckland Volcanic Field, New Zealand |
title_full | Short-Term Eruption Forecasting for Crisis Decision-Support in the Auckland Volcanic Field, New Zealand |
title_fullStr | Short-Term Eruption Forecasting for Crisis Decision-Support in the Auckland Volcanic Field, New Zealand |
title_full_unstemmed | Short-Term Eruption Forecasting for Crisis Decision-Support in the Auckland Volcanic Field, New Zealand |
title_short | Short-Term Eruption Forecasting for Crisis Decision-Support in the Auckland Volcanic Field, New Zealand |
title_sort | short term eruption forecasting for crisis decision support in the auckland volcanic field new zealand |
topic | eruption forecasting bayesian event tree volcanic hazard decision-support evacuation event tree |
url | https://www.frontiersin.org/articles/10.3389/feart.2022.893882/full |
work_keys_str_mv | AT alecjwild shorttermeruptionforecastingforcrisisdecisionsupportintheaucklandvolcanicfieldnewzealand AT marksbebbington shorttermeruptionforecastingforcrisisdecisionsupportintheaucklandvolcanicfieldnewzealand AT janmlindsay shorttermeruptionforecastingforcrisisdecisionsupportintheaucklandvolcanicfieldnewzealand |