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Assessing impending hazards from summit eruptions: the new probabilistic map for lava flow inundation at Mt. Etna
The development of probabilistic maps associated with lava flow inundation is essential to assess hazard in open vent volcanoes, especially those that have highly urbanized flanks. In this study we present the new lava flow hazard map linked to the summit eruptions of Mt. Etna, which has been develo...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636014/ https://www.ncbi.nlm.nih.gov/pubmed/37945648 http://dx.doi.org/10.1038/s41598-023-46495-0 |
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author | Zuccarello, Francesco Bilotta, Giuseppe Ganci, Gaetana Proietti, Cristina Cappello, Annalisa |
author_facet | Zuccarello, Francesco Bilotta, Giuseppe Ganci, Gaetana Proietti, Cristina Cappello, Annalisa |
author_sort | Zuccarello, Francesco |
collection | PubMed |
description | The development of probabilistic maps associated with lava flow inundation is essential to assess hazard in open vent volcanoes, especially those that have highly urbanized flanks. In this study we present the new lava flow hazard map linked to the summit eruptions of Mt. Etna, which has been developed using a probabilistic approach that integrates statistical analyses of the volcanological historical data with numerical simulations of lava flows. The statistical analysis of volcanological data (including vent location, duration and lava volumes) about all summit eruptions occurred since 1998 has allowed us both to estimate the spatiotemporal probability of future vent opening and to extract the effusion rate curves for lava flow modelling. Numerical simulations were run using the GPUFLOW model on a 2022 Digital Surface Model derived from optical satellite images. The probabilistic approach has been validated through a back-analysis by calculating the fit between the expected probabilities of inundation and the lava flows actually emplaced during the 2020-2022 period. The obtained map shows a very high probability of inundation of lava flows emitted at vents linked to the South East Crater, according to the observation of the eruptive dynamics in the last decades. |
format | Online Article Text |
id | pubmed-10636014 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106360142023-11-11 Assessing impending hazards from summit eruptions: the new probabilistic map for lava flow inundation at Mt. Etna Zuccarello, Francesco Bilotta, Giuseppe Ganci, Gaetana Proietti, Cristina Cappello, Annalisa Sci Rep Article The development of probabilistic maps associated with lava flow inundation is essential to assess hazard in open vent volcanoes, especially those that have highly urbanized flanks. In this study we present the new lava flow hazard map linked to the summit eruptions of Mt. Etna, which has been developed using a probabilistic approach that integrates statistical analyses of the volcanological historical data with numerical simulations of lava flows. The statistical analysis of volcanological data (including vent location, duration and lava volumes) about all summit eruptions occurred since 1998 has allowed us both to estimate the spatiotemporal probability of future vent opening and to extract the effusion rate curves for lava flow modelling. Numerical simulations were run using the GPUFLOW model on a 2022 Digital Surface Model derived from optical satellite images. The probabilistic approach has been validated through a back-analysis by calculating the fit between the expected probabilities of inundation and the lava flows actually emplaced during the 2020-2022 period. The obtained map shows a very high probability of inundation of lava flows emitted at vents linked to the South East Crater, according to the observation of the eruptive dynamics in the last decades. Nature Publishing Group UK 2023-11-09 /pmc/articles/PMC10636014/ /pubmed/37945648 http://dx.doi.org/10.1038/s41598-023-46495-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zuccarello, Francesco Bilotta, Giuseppe Ganci, Gaetana Proietti, Cristina Cappello, Annalisa Assessing impending hazards from summit eruptions: the new probabilistic map for lava flow inundation at Mt. Etna |
title | Assessing impending hazards from summit eruptions: the new probabilistic map for lava flow inundation at Mt. Etna |
title_full | Assessing impending hazards from summit eruptions: the new probabilistic map for lava flow inundation at Mt. Etna |
title_fullStr | Assessing impending hazards from summit eruptions: the new probabilistic map for lava flow inundation at Mt. Etna |
title_full_unstemmed | Assessing impending hazards from summit eruptions: the new probabilistic map for lava flow inundation at Mt. Etna |
title_short | Assessing impending hazards from summit eruptions: the new probabilistic map for lava flow inundation at Mt. Etna |
title_sort | assessing impending hazards from summit eruptions: the new probabilistic map for lava flow inundation at mt. etna |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636014/ https://www.ncbi.nlm.nih.gov/pubmed/37945648 http://dx.doi.org/10.1038/s41598-023-46495-0 |
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