The nature of volcanism

Connor, Charles B.; Sparks, R. S. J.; Dı́ez, M.; Volentik, A. C.; Pearson, Sophie

doi:10.1017/cbo9780511635380.004

Cited by 4 publications

(2 citation statements)

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“…The performance of a kernel density estimator depends more strongly on the bandwidth selection than on the kernel function chosen (Duong 2005). In the Gaussian case, a small bandwidth leads to very spiky estimates, while a large one an overly smoothed estimate (Connor et al 2009). If the bandwidth is a matrix, its notation is:…”

Section: Appendixmentioning

confidence: 99%

MatHaz: a Matlab code to assist with probabilistic spatio-temporal volcanic hazard assessment in distributed volcanic fields

Bertin

Lindsay

Becerril³

et al. 2019

J Appl. Volcanol.

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This paper introduces an open source computer code to perform an integrated probabilistic spatio-temporal volcanic hazard assessment in distributed volcanic fields. The program, named MatHaz, is a set of Matlab scripts that follows a sequential methodology. After the user has provided a set of input files, this tool first estimates the spatial probability of future volcanic vents, then the temporal probability of future volcanic events, and finally models up to five volcanic phenomena (pyroclastic density currents, ballistic projectiles, lava flows, lahars, and tephra fallout) following a probabilistic approach. These results can be combined and depicted as an integrated quantitative (and/or qualitative) volcanic hazard map, with weightings of hazard factors chosen by the user. We illustrate the use of this tool by applying it to the Carrán-Los Venados Volcanic Field in southern Chile. The opensource, replicable, and user-friendly nature of the code allows its application to any volcanic region of the world, regardless of its extent, type, and amount of volcano-structural data.

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Section: Appendixmentioning

confidence: 99%

MatHaz: a Matlab code to assist with probabilistic spatio-temporal volcanic hazard assessment in distributed volcanic fields

Bertin

Lindsay

Becerril³

et al. 2019

J Appl. Volcanol.

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“…Silicic eruptions in bimodal volcanic fields have potentially unexpected impacts as these eruptions are not associated with long‐lived or frequently active volcanic systems. Yet, these eruptions tend to be more intense, voluminous and of longer duration than basaltic counterparts (Connor et al., 2009; Sparks, 2003). For example, the Coso volcanic field, California, has a silicic eruption rate almost double that of the basalt eruption rate by volume (Bacon, 1982).…”

Section: Introductionmentioning

confidence: 99%

Large‐Volume and Shallow Magma Intrusions in the Blackfoot Reservoir Volcanic Field (Idaho, USA)

et al. 2021

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Bimodal volcanic fields comprise multiple vents that have erupted basalt and dacite to rhyolite with no intermediate compositions (Bacon, 1982;Suneson, 1983;Tanaka et al., 1986). Silicic eruptions in bimodal volcanic fields have potentially unexpected impacts as these eruptions are not associated with long-lived or frequently active volcanic systems. Yet, these eruptions tend to be more intense, voluminous and of longer duration than basaltic counterparts (Connor et al., 2009;Sparks, 2003). For example, the Coso volcanic field, California, has a silicic eruption rate almost double that of the basalt eruption rate by volume (Bacon, 1982). Like silicic eruptions at composite volcanoes and calderas, formation of a new silicic vent in a distributed volcanic field can produce tephra fallout, block and ash flows, surges and long-active domes (Avellán et al., 2012;Gómez-Vasconcelos et al., 2020;McCurry & Welhan, 2012;Pardo et al., 2009). For instance, during the last 30 ka the Nejapa volcanic field, Nicaragua, experienced recurring plinian and phreatoplinian eruptions of silicic magmas and eruptions of new basaltic monogenetic vents (Avellán et al., 2012). The dynamics of magma intrusion and the eruption of new silicic vents are both influenced by tectonic setting and local structures. These events cause surface deformation that extends hundreds to thousands of meters beyond the vent area (Castro et al., 2016;Jay et al., 2014;Mastin & Pollard, 1988). By studying the silicic intrusions that feed these eruptions, we can better understand precursors to new eruptions in bimodal volcanic fields and better anticipate their potential impacts.

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Radiometric ages and time–space distribution of volcanism in the Campo de Calatrava Volcanic Field (Iberian Peninsula)

Soto

Coronel

2021

J Iber Geol

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The nature of volcanism

Cited by 4 publications

References 0 publications

MatHaz: a Matlab code to assist with probabilistic spatio-temporal volcanic hazard assessment in distributed volcanic fields

MatHaz: a Matlab code to assist with probabilistic spatio-temporal volcanic hazard assessment in distributed volcanic fields

Large‐Volume and Shallow Magma Intrusions in the Blackfoot Reservoir Volcanic Field (Idaho, USA)

Radiometric ages and time–space distribution of volcanism in the Campo de Calatrava Volcanic Field (Iberian Peninsula)

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