Pyroclastic Density Currents at Volcán de Colima

Saucedo, R.; Macías, José Luis; Gavilanes-Ruiz, J.C.; Bursik, Marcus; Vargas-Gutiérrez, Víctor R.

doi:10.1007/978-3-642-25911-1_11

Cited by 4 publications

(3 citation statements)

References 49 publications

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“…PDCs with a taller collapse height, and a greater mobility, have the potential to travel further. An important caveat of the energy cone model, given that is does not attempt to represent an individual flow footprint, is that it does not consider flow channelization of PDCs, which is known to be an important factor controlling the footprint of smaller volume, drainageconfined, concentrated PDCs (e.g., Calder et al, 1999;Douillet et al, 2013;Di Roberto et al, 2014;Saucedo et al, 2019). Density current channelization processes are considered in more complex models such as Titan 2D and VolcFlow, but for reasons already outlined, such models are not preferred in this situation.…”

Section: The Energy Cone Modelmentioning

confidence: 99%

Probabilistic Volcanic Hazard Assessment for Pyroclastic Density Currents From Pumice Cone Eruptions at Aluto Volcano, Ethiopia

et al. 2020

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Section: The Energy Cone Modelmentioning

confidence: 99%

Probabilistic Volcanic Hazard Assessment for Pyroclastic Density Currents From Pumice Cone Eruptions at Aluto Volcano, Ethiopia

et al. 2020

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“…Because component category determination is dependent on the scientific questions each study is dealing with, comparing componentry datasets across independent studies is often challenging. Some componentry datasets exist in the literature on specific PDC deposits, such as ignimbrites from the Campanian Ignimbrite eruption (Scarpati et al, 2015), various eruptions in the Azores and Chile (Walker, 1971;Calder et al, 2000), pumice flows from the 3.9 ka BP Somma-Vesuvius eruption (Sulpizio et al, 2010), the 1902 and 1929 Mt Pelée eruption (Fisher and Heiken, 1982;Bourdier et al, 1989), the blast surge and pumice flows from the 18 May 1980 Mount St Helens eruption (Druitt, 1992;Brand et al, 2014), block and ash flows from Merapi (Abdurachman et al, 2000;Charbonnier and Gertisser, 2011;Charbonnier et al, 2013), Soufrière Hills Volcano (Cole et al, 2002(Cole et al, , 2014, Colima (Macorps et al, 2018;Saucedo et al, 2019), Santiaguito (Hornby et al, 2019) and Tungurahua (Bernard et al, 2014b;). Yet, studies relating the observed componentry trends to general processes of emplacement are still lacking in the literature.…”

Section: Componentry (Mineralogy Chemical Composition)mentioning

confidence: 99%

Physical properties of pyroclastic density currents: relevance, challenges and future directions

Jones,

Beckett,

Bernard

et al. 2023

Front. Earth Sci.

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Pyroclastic density currents (PDCs) are hazardous and destructive phenomena that pose a significant threat to communities living in the proximity of active volcanoes. PDCs are ground-hugging density currents comprised of high temperature mixtures of pyroclasts, lithics, and gas that can propagate kilometres away from their source. The physical properties of the solid particles, such as their grain size distribution, morphology, density, and componentry play a crucial role in determining the dynamics and impact of these flows. The modification of these properties during transport also records the causative physical processes such as deposition and particle fragmentation. Understanding these processes from the study of deposits from PDCs and related co-PDC plumes is essential for developing effective hazard assessment and risk management strategies. In this article, we describe the importance and relevance of the physical properties of PDC deposits and provide a perspective on the challenges associated with their measurement and characterization. We also discuss emerging topics and future research directions such as electrical charging, granular rheology, ultra-fine ash and thermal and surface properties that are underpinned by the characterization of pyroclasts and their interactions at the micro-scale. We highlight the need to systematically integrate experiments, field observations, and laboratory measurements into numerical modelling approaches for improving our understanding of PDCs. Additionally, we outline a need for the development of standardised protocols and methodologies for the measurement and reporting of physical properties of PDC deposits. This will ensure comparability, reproducibility of results from field studies and also ensure the data are sufficient to benchmark future numerical models of PDCs. This will support more accurate simulations that guide hazard and risk assessments.

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“…Para el caso del Volcán de Colima se tomaron eventos relativamente contemporáneos donde se produjeron CDP como fue durante la crisis del 20 enero de 1913 así como el evento de 10 y 11 de julio de 2015. Para ambos eventos se obtuvieron los coeficientes de fricción basal (Delta_Bed), calculado con la altura del depósito H entre la longitud del depósito L (H/L) y coeficientes de fricción interna (Delta_Int) o ángulo de reposo para 1913 (Saucedo et al, 2019;Macorps et al, 2018).…”

Section: Modelación De Corrientes De Densidad Piroclásticaunclassified

Aplicación de VolcFlow para simular Avalanchas de Escombros y CDP en los volcanes Popocatépetl, Volcán de Colima y Ceboruco

Sánchez

Gómez

Flores

et al. 2021

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El análisis de los peligros volcánicos permite cuantificar el potencial de riesgo sobre eventos históricos en un contexto social y económico. Por su ubicación geográfica, México cuenta con al menos 38 centros volcánicos, incluyendo volcanes monogenéticos y estratovolcanes, que han presentado actividad explosiva en los últimos 10 mil años. Entre los más relevantes se encuentra el volcán Popocatépetl, Volcán de Colima y Ceboruco que mantienen diversas similitudes entre sí, como presentar actividad explosiva reciente y ubicarse sobre una región con una densidad de población y, por tanto, alto grado de vulnerabilidad. En este contexto, el volcán Ceboruco ha presentado al menos 8 erupciones en los últimos 1000 años, siendo la última la erupción más relevante la de 1870. De igual manera, Volcán de Colima y Popocatépetl han sido dos de los volcanes más activos de México con frecuente emplazamiento y destrucción de domos de lava en los últimos 20 años. La actividad explosiva de ambos volcanes ha provocado la evacuación preventiva en diversas ocasiones por parte de autoridades correspondientes. Para nuestro análisis, hemos utilizado el código VolcFlow, escrito en MATLAB, que resuelve las ecuaciones de conservación de masa y momento para el análisis de dispersión y alcance de los flujos. El presente artículo muestra los resultados del análisis de la modelación de diversos peligros volcánicos como son lahares, flujos piroclásticos y avalanchas de escombros con enfoque hacia la mitigación de riesgo volcánico. Los resultados nos permiten realizar modificaciones efectivas sobre los parámetros reológicos que son característicos para cada tipo de peligro volcánico en cada volcán considerando las características particulares como es densidad de flujo, la viscosidad, volumen de material emitido y por supuesto, Modelo de Elevación Digital.

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Pyroclastic Density Currents at Volcán de Colima

Cited by 4 publications

References 49 publications

Probabilistic Volcanic Hazard Assessment for Pyroclastic Density Currents From Pumice Cone Eruptions at Aluto Volcano, Ethiopia

Probabilistic Volcanic Hazard Assessment for Pyroclastic Density Currents From Pumice Cone Eruptions at Aluto Volcano, Ethiopia

Physical properties of pyroclastic density currents: relevance, challenges and future directions

Aplicación de VolcFlow para simular Avalanchas de Escombros y CDP en los volcanes Popocatépetl, Volcán de Colima y Ceboruco

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