Probabilistic tephra fallout hazard maps for Sangay volcano, Ecuador

Abstract Sangay volcano (Ecuador) shows a quasi-continuous activity at least since the seventeenth century and has produced several eruptions which affected towns and cities at considerable distance (up to > 170 km). For this reason, despite its remote location, recent efforts were aimed at reviewing its volcanic history, quantifying the occurrence probability of four eruptive scenarios of different magnitude (Strong Ash Venting, Violent Strombolian, sub-Plinian, and Plinian) and the associated uncertainty, and, for each eruptive scenario, estimating the probability distribution of key eruptive source parameters (fallout volume, average plume height, and eruption duration). In this study, we utilize such information to produce probabilistic hazard maps and curves. To this aim, we use coupled plume and dispersal models (PLUME-MOM-TSM and HYSPLIT, respectively) with the application of a novel workflow for running an ensemble of thousands of simulations following a stochastic sampling of input parameters. We produced probabilistic hazard maps for each scenario by considering four ground load thresholds (i.e., 0.1, 1, 10, and 100 kg/m 2 ) and two types of model initialization strategies, based on the elicited total deposit volume and on the elicited plume height, respectively, which produced non-negligible differences. In addition, we produced hazard curves for nine sites of interest from a risk perspective, corresponding to towns/cities potentially affected by tephra accumulation. Finally, we also derived combined maps by merging maps of single scenarios with their probability of occurrence as obtained from expert elicitation. Results indicate that in case of a future eruption, even for a moderate-scale one (Violent Strombolian), probability of tephra accumulation larger than 1 kg/m 2 is relatively high (from 21 to 24% considering different model initializations) in the town of Guamote, i.e., the most severely affected site among those tested (43 km W of Sangay). For larger-scale events (i.e., sub-Plinian), the impact of tephra accumulation results to be significant even for the city of Guayaquil (176 km W of Sangay), with probability of tephra accumulation larger than 1 kg/m 2 from 3 to 22% considering different model initializations. For maps combining single maps of historically observed scenarios, the probability (% - [5 th -Mean-95 th ]) of having ≥ 10 kg/m 2 for Guamote is [4-13-25] as maximum values.

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Publication Details

Journal
Bulletin of Volcanology
Published
2025-01-29
DOI
https://doi.org/10.1007/s00445-025-01794-4
Citations
3
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
3.90

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article

Probabilistic tephra fallout hazard maps for Sangay volcano, Ecuador

Mattia de’ Michieli Vitturi, Augusto Neri, Pablo Samaniego, Alessandro Tadini et al.
3 citations
Bulletin of Volcanology
Meteorological Phenomena and Simulations
3.90
article

Probabilistic tephra fallout hazard maps for Sangay volcano, Ecuador

Mattia de’ Michieli Vitturi, Augusto Neri, Pablo Samaniego, Alessandro Tadini, Andrea Bevilacqua, Olivier Roche, Jorge Aguilar, Benjamin Bernard, Federica Pardini, Silvana Hidalgo, Nourddine Azzaoui, Álvaro Aravena
article en
3 citations

Abstract

Abstract Sangay volcano (Ecuador) shows a quasi-continuous activity at least since the seventeenth century and has produced several eruptions which affected towns and cities at considerable distance (up to > 170 km). For this reason, despite its remote location, recent efforts were aimed at reviewing its volcanic history, quantifying the occurrence probability of four eruptive scenarios of different magnitude (Strong Ash Venting, Violent Strombolian, sub-Plinian, and Plinian) and the associated uncertainty, and, for each eruptive scenario, estimating the probability distribution of key eruptive source parameters (fallout volume, average plume height, and eruption duration). In this study, we utilize such information to produce probabilistic hazard maps and curves. To this aim, we use coupled plume and dispersal models (PLUME-MOM-TSM and HYSPLIT, respectively) with the application of a novel workflow for running an ensemble of thousands of simulations following a stochastic sampling of input parameters. We produced probabilistic hazard maps for each scenario by considering four ground load thresholds (i.e., 0.1, 1, 10, and 100 kg/m 2 ) and two types of model initialization strategies, based on the elicited total deposit volume and on the elicited plume height, respectively, which produced non-negligible differences. In addition, we produced hazard curves for nine sites of interest from a risk perspective, corresponding to towns/cities potentially affected by tephra accumulation. Finally, we also derived combined maps by merging maps of single scenarios with their probability of occurrence as obtained from expert elicitation. Results indicate that in case of a future eruption, even for a moderate-scale one (Violent Strombolian), probability of tephra accumulation larger than 1 kg/m 2 is relatively high (from 21 to 24% considering different model initializations) in the town of Guamote, i.e., the most severely affected site among those tested (43 km W of Sangay). For larger-scale events (i.e., sub-Plinian), the impact of tephra accumulation results to be significant even for the city of Guayaquil (176 km W of Sangay), with probability of tephra accumulation larger than 1 kg/m 2 from 3 to 22% considering different model initializations. For maps combining single maps of historically observed scenarios, the probability (% - [5 th -Mean-95 th ]) of having ≥ 10 kg/m 2 for Guamote is [4-13-25] as maximum values.

Bulletin of VolcanologyVol. 87(2)
Centre National de la Recherche Scientifique (FR), Université Clermont Auvergne (FR), Catholic University of the Maule (CL), Istituto Nazionale di Geofisica e Vulcanologia (IT), Instituto Geofísico de la Escuela Politécnica Nacional (EC), Laboratoire Magmas et Volcans (FR), Laboratoire de Mathématiques Blaise Pascal (FR), Institut de Recherche pour le Développement (FR), Millennium Institute for Integrative Biology (CL)
Institut Català de Nanociència i Nanotecnologia, Agence Nationale de la Recherche, Ministero dell’Istruzione, dell’Università e della Ricerca, Instituto Millenium, Istituto Nazionale di Geofisica e Vulcanologia, Agencia Nacional de Investigación y Desarrollo
Sustainable cities and communities
Openalex Percentile: Top 9%
Meteorological Phenomena and Simulations
3.90
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