The duration of volcanic eruptions: empirical probabilistic forecasting models based on historic eruption data

The ability to forecast future volcanic eruption durations would greatly benefit emergency response planning. A probabilistic model to forecast the duration of eruptions is presented here. The model relies on past eruptions being a good indicator of future activity. Datasets of historic eruptions fr...

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Main Author: Gunn, Leanne Sarah
Format: Thesis
Language:unknown
Published: The Open University 2014
Subjects:
Online Access:https://dx.doi.org/10.21954/ou.ro.0000f83d
http://oro.open.ac.uk/id/eprint/63549
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spelling ftdatacite:10.21954/ou.ro.0000f83d 2023-05-15T16:49:04+02:00 The duration of volcanic eruptions: empirical probabilistic forecasting models based on historic eruption data Gunn, Leanne Sarah 2014 https://dx.doi.org/10.21954/ou.ro.0000f83d http://oro.open.ac.uk/id/eprint/63549 unknown The Open University Creative Commons Attribution Non Commercial No Derivatives 4.0 International https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode cc-by-nc-nd-4.0 CC-BY-NC-ND Text Thesis article-journal ScholarlyArticle 2014 ftdatacite https://doi.org/10.21954/ou.ro.0000f83d 2021-11-05T12:55:41Z The ability to forecast future volcanic eruption durations would greatly benefit emergency response planning. A probabilistic model to forecast the duration of eruptions is presented here. The model relies on past eruptions being a good indicator of future activity. Datasets of historic eruptions from Mt. Etna (flank only), Kilauea, Piton de la Foumaise (PdlF) and Iceland have been compiled through a critical examination of existing literature and careful consideration of uncertainties in reported dates. The eruptions from Mt. Etna, Kilauea and PdlF are all basaltic effusive eruptions, however, the Icelandic dataset is more diverse and seven types of duration have been identified and are assessed independently. These datasets have also enabled an assessment of repose intervals (eruption end to eruption start) to be conducted. Eruption duration and repose interval data are modelled using exponential, Weibull, log-logistic and Burr type XII distributions with parameters found by maximum likelihood estimation. Log-logistic distributions are found to often provide the best-fit to the observed data. Survivor function statistics are applied to the best-fit theoretical distribution of each dataset and used to forecast (a) the probability of an eruption exceeding a given duration, (b) the probability of an on-going eruption (having reached t days) exceeding a specified total duration and (c) the minimum duration associated with a given probability. Eruption duration analyses at individual volcanic systems show systematic variations with time and different time periods have different duration regimes. Comparisons of the erupted volumes associated with these duration regimes show that volume is an important control on eruption duration. Average eruption rates also determine eruption duration and comparisons of data from Kilauea, PdlF and volcanic systems from different regions of Iceland have led to the hypothesis that volcano spreading rate may have an important control on eruption rate and subsequently eruption duration. Thesis Iceland DataCite Metadata Store (German National Library of Science and Technology) Etna ENVELOPE(-19.191,-19.191,63.706,63.706) Piton ENVELOPE(141.596,141.596,-66.777,-66.777)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description The ability to forecast future volcanic eruption durations would greatly benefit emergency response planning. A probabilistic model to forecast the duration of eruptions is presented here. The model relies on past eruptions being a good indicator of future activity. Datasets of historic eruptions from Mt. Etna (flank only), Kilauea, Piton de la Foumaise (PdlF) and Iceland have been compiled through a critical examination of existing literature and careful consideration of uncertainties in reported dates. The eruptions from Mt. Etna, Kilauea and PdlF are all basaltic effusive eruptions, however, the Icelandic dataset is more diverse and seven types of duration have been identified and are assessed independently. These datasets have also enabled an assessment of repose intervals (eruption end to eruption start) to be conducted. Eruption duration and repose interval data are modelled using exponential, Weibull, log-logistic and Burr type XII distributions with parameters found by maximum likelihood estimation. Log-logistic distributions are found to often provide the best-fit to the observed data. Survivor function statistics are applied to the best-fit theoretical distribution of each dataset and used to forecast (a) the probability of an eruption exceeding a given duration, (b) the probability of an on-going eruption (having reached t days) exceeding a specified total duration and (c) the minimum duration associated with a given probability. Eruption duration analyses at individual volcanic systems show systematic variations with time and different time periods have different duration regimes. Comparisons of the erupted volumes associated with these duration regimes show that volume is an important control on eruption duration. Average eruption rates also determine eruption duration and comparisons of data from Kilauea, PdlF and volcanic systems from different regions of Iceland have led to the hypothesis that volcano spreading rate may have an important control on eruption rate and subsequently eruption duration.
format Thesis
author Gunn, Leanne Sarah
spellingShingle Gunn, Leanne Sarah
The duration of volcanic eruptions: empirical probabilistic forecasting models based on historic eruption data
author_facet Gunn, Leanne Sarah
author_sort Gunn, Leanne Sarah
title The duration of volcanic eruptions: empirical probabilistic forecasting models based on historic eruption data
title_short The duration of volcanic eruptions: empirical probabilistic forecasting models based on historic eruption data
title_full The duration of volcanic eruptions: empirical probabilistic forecasting models based on historic eruption data
title_fullStr The duration of volcanic eruptions: empirical probabilistic forecasting models based on historic eruption data
title_full_unstemmed The duration of volcanic eruptions: empirical probabilistic forecasting models based on historic eruption data
title_sort duration of volcanic eruptions: empirical probabilistic forecasting models based on historic eruption data
publisher The Open University
publishDate 2014
url https://dx.doi.org/10.21954/ou.ro.0000f83d
http://oro.open.ac.uk/id/eprint/63549
long_lat ENVELOPE(-19.191,-19.191,63.706,63.706)
ENVELOPE(141.596,141.596,-66.777,-66.777)
geographic Etna
Piton
geographic_facet Etna
Piton
genre Iceland
genre_facet Iceland
op_rights Creative Commons Attribution Non Commercial No Derivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
cc-by-nc-nd-4.0
op_rightsnorm CC-BY-NC-ND
op_doi https://doi.org/10.21954/ou.ro.0000f83d
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