Large uncertainties are pervasive in long-term frequency-magnitude relationships for volcanoes in Southeast Asia
Frequency-magnitude relationships are a fundamental aspect of volcanic hazard and risk analysis. Typically, frequencies of previously recorded eruptions are used to identify such relationships. This works well for volcanoes that are well-studied, but it can take a long, sustained, and resource inten...
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Science::Geology Annual Probability Volcanic Hazard Hayes, Josh L. Jenkins, Susanna F. Joffrain, Mathis Large uncertainties are pervasive in long-term frequency-magnitude relationships for volcanoes in Southeast Asia |
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Frequency-magnitude relationships are a fundamental aspect of volcanic hazard and risk analysis. Typically, frequencies of previously recorded eruptions are used to identify such relationships. This works well for volcanoes that are well-studied, but it can take a long, sustained, and resource intensive research effort to compile complete eruption records. Further, the level of completeness that can be achieved will vary around the world as a function of climatic conditions, eruption style, and duration of written records. Given the importance of understanding hazard and risk for disaster risk reduction, how can frequency-magnitude relationships be determined for volcanoes with little or no eruption records? Analogue models have been used to supplement the eruption records of volcanoes with limited or no recorded eruptions. However, there has been little effort undertaken to compare the agreeability of different approaches to estimating frequency-magnitude relationships using these analogue models. This has implications for volcanic hazard and risk assessment, if different approaches are considered credible, yet yield vastly different estimates. In this work we compare frequency-magnitude relationships for volcanoes in Southeast Asia, a region where eruption records are known to be very incomplete. We do this by first reviewing published frequency-magnitude relationships to evaluate the agreeability between different approaches, and then develop a top-down multi-model Bayesian updating approach to deriving frequency-magnitude relationships for a wide variety of volcanoes in Southeast Asia (n = 176). Our review of published estimates found that there is considerable variability between published eruption probabilities for volcanoes in Southeast Asia. We also found that using different analogue models in the Bayesian analysis can lead to considerably different frequency-magnitude relationships (over an order of magnitude in some cases), highlighting the importance of using multiple models to ensure robust probability estimations are obtained. Sensitivity analysis demonstrated that the choice of model averaging or model combination method can influence the resulting frequency-magnitude estimations, whilst the choice to incorporate or remove uncertain eruption records had modest or no effect. Our findings provide important considerations for estimating frequency-magnitude relationships in volcanic hazard and risk assessments, and a method to combine multiple frequency-magnitude models whilst accounting for uncertainty in our estimations. |
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Asian School of the Environment |
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Asian School of the Environment Hayes, Josh L. Jenkins, Susanna F. Joffrain, Mathis |
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Article |
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Hayes, Josh L. Jenkins, Susanna F. Joffrain, Mathis |
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Hayes, Josh L. |
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Large uncertainties are pervasive in long-term frequency-magnitude relationships for volcanoes in Southeast Asia |
title_short |
Large uncertainties are pervasive in long-term frequency-magnitude relationships for volcanoes in Southeast Asia |
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Large uncertainties are pervasive in long-term frequency-magnitude relationships for volcanoes in Southeast Asia |
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Large uncertainties are pervasive in long-term frequency-magnitude relationships for volcanoes in Southeast Asia |
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Large uncertainties are pervasive in long-term frequency-magnitude relationships for volcanoes in Southeast Asia |
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large uncertainties are pervasive in long-term frequency-magnitude relationships for volcanoes in southeast asia |
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2023 |
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https://hdl.handle.net/10356/164762 |
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sg-ntu-dr.10356-1647622023-10-12T03:01:11Z Large uncertainties are pervasive in long-term frequency-magnitude relationships for volcanoes in Southeast Asia Hayes, Josh L. Jenkins, Susanna F. Joffrain, Mathis Asian School of the Environment Earth Observatory of Singapore Science::Geology Annual Probability Volcanic Hazard Frequency-magnitude relationships are a fundamental aspect of volcanic hazard and risk analysis. Typically, frequencies of previously recorded eruptions are used to identify such relationships. This works well for volcanoes that are well-studied, but it can take a long, sustained, and resource intensive research effort to compile complete eruption records. Further, the level of completeness that can be achieved will vary around the world as a function of climatic conditions, eruption style, and duration of written records. Given the importance of understanding hazard and risk for disaster risk reduction, how can frequency-magnitude relationships be determined for volcanoes with little or no eruption records? Analogue models have been used to supplement the eruption records of volcanoes with limited or no recorded eruptions. However, there has been little effort undertaken to compare the agreeability of different approaches to estimating frequency-magnitude relationships using these analogue models. This has implications for volcanic hazard and risk assessment, if different approaches are considered credible, yet yield vastly different estimates. In this work we compare frequency-magnitude relationships for volcanoes in Southeast Asia, a region where eruption records are known to be very incomplete. We do this by first reviewing published frequency-magnitude relationships to evaluate the agreeability between different approaches, and then develop a top-down multi-model Bayesian updating approach to deriving frequency-magnitude relationships for a wide variety of volcanoes in Southeast Asia (n = 176). Our review of published estimates found that there is considerable variability between published eruption probabilities for volcanoes in Southeast Asia. We also found that using different analogue models in the Bayesian analysis can lead to considerably different frequency-magnitude relationships (over an order of magnitude in some cases), highlighting the importance of using multiple models to ensure robust probability estimations are obtained. Sensitivity analysis demonstrated that the choice of model averaging or model combination method can influence the resulting frequency-magnitude estimations, whilst the choice to incorporate or remove uncertain eruption records had modest or no effect. Our findings provide important considerations for estimating frequency-magnitude relationships in volcanic hazard and risk assessments, and a method to combine multiple frequency-magnitude models whilst accounting for uncertainty in our estimations. Ministry of Education (MOE) National Research Foundation (NRF) Published version This research was supported by funding from the AXA Joint Research Initiative under the project “Volcanic Risk Assessment in Asia”. This research was supported by the Earth Observatory of Singapore via its funding from the National Research Foundation Singapore and the Singapore Ministry of Education under the Research Centres of Excellence initiative. 2023-02-13T07:57:13Z 2023-02-13T07:57:13Z 2022 Journal Article Hayes, J. L., Jenkins, S. F. & Joffrain, M. (2022). Large uncertainties are pervasive in long-term frequency-magnitude relationships for volcanoes in Southeast Asia. Frontiers in Earth Science, 10, 895756-. https://dx.doi.org/10.3389/feart.2022.895756 2296-6463 https://hdl.handle.net/10356/164762 10.3389/feart.2022.895756 2-s2.0-85133934643 10 895756 en Frontiers in Earth Science 10.21979/N9/YJZJUI © 2022 Hayes, Jenkins and Joffrain. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. application/pdf |