Automated Eruption Forecasting at Frequently Active Volcanoes Using Bayesian Networks Learned From Monitoring Data and Expert Elicitation: Application to Mt Ruapehu, Aotearoa, New Zealand

Automated Eruption Forecasting at Frequently Active Volcanoes Using Bayesian Networks Learned From Monitoring Data and Expert Elicitation: Application to Mt Ruapehu, Aotearoa, New Zealand

Volcano observatory best practice recommends using probabilistic methods to forecast eruptions to account for the complex natural processes leading up to an eruption and communicating the inherent uncertainties in appropriate ways. Bayesian networks (BNs) are an artificial intelligence technology to...

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Bibliographic Details
Main Authors: Annemarie Christophersen, Yannik Behr, Craig Miller
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Earth Science
Subjects:
eruption forecasting
Bayesian Network (BN)
expert elicitation
data learning
time series
Mt Ruapehu volcano
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2022.905965/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2022.905965/full

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