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Grain-size distribution of volcaniclastic rocks 1: A new technique based on functional stereology

Grain-size distribution of volcaniclastic rocks 1: A new technique based on functional stereology
Grain-size distribution of volcaniclastic rocks 1: A new technique based on functional stereology
The power of explosive volcanic eruptions is reflected in the grain size distribution and dispersal of their pyroclastic deposits. Grain size also forms part of lithofacies characteristics that are necessary to determine
transport and depositional mechanisms responsible for producing pyroclastic deposits. However, the common process of welding and rock lithification prevents quantification of grain size by traditional sieving methods for deposits in the rock record. Here we show that functional stereology can be used to obtain actual 3D volume fractions of clast populations from 2D cross-sectional images. Tests made on artificially consolidated rocks demonstrate successful correlations with traditional sieving method. We show that the true grain size distribution is finer grained than its representation on a random 2D section. Our method allows
the original size of vesicular pumice clasts to be estimated from their compacted shapes. We anticipate that the original grain-size distribution of welded ignimbrites can also be characterized by this method. Our method using functional stereology can be universally applied to any type of consolidated, weakly to non-deformed clastic material, regardless of grain size or age and therefore has a wide application in geology.
Grain size distribution, Grain size analysis, Functional stereology, Volcaniclastic rock, Pyroclastic rock, Welded ignimbrite, Clastic rock
0377-0273
1-11
Jutzeler, Martin
3ff7423b-ed16-439c-ad5b-1822b72d7b8c
Proussevitch, Alex A.
7c02a91b-fca2-478e-be1f-0206b3e92ddb
Allen, Sharon R.
956fd82a-0235-4410-a5b1-d2a7bb7fc63a
Jutzeler, Martin
3ff7423b-ed16-439c-ad5b-1822b72d7b8c
Proussevitch, Alex A.
7c02a91b-fca2-478e-be1f-0206b3e92ddb
Allen, Sharon R.
956fd82a-0235-4410-a5b1-d2a7bb7fc63a

Jutzeler, Martin, Proussevitch, Alex A. and Allen, Sharon R. (2012) Grain-size distribution of volcaniclastic rocks 1: A new technique based on functional stereology. Journal of Volcanology and Geothermal Research, 239-240, 1-11. (doi:10.1016/j.jvolgeores.2012.05.013).

Record type: Article

Abstract

The power of explosive volcanic eruptions is reflected in the grain size distribution and dispersal of their pyroclastic deposits. Grain size also forms part of lithofacies characteristics that are necessary to determine
transport and depositional mechanisms responsible for producing pyroclastic deposits. However, the common process of welding and rock lithification prevents quantification of grain size by traditional sieving methods for deposits in the rock record. Here we show that functional stereology can be used to obtain actual 3D volume fractions of clast populations from 2D cross-sectional images. Tests made on artificially consolidated rocks demonstrate successful correlations with traditional sieving method. We show that the true grain size distribution is finer grained than its representation on a random 2D section. Our method allows
the original size of vesicular pumice clasts to be estimated from their compacted shapes. We anticipate that the original grain-size distribution of welded ignimbrites can also be characterized by this method. Our method using functional stereology can be universally applied to any type of consolidated, weakly to non-deformed clastic material, regardless of grain size or age and therefore has a wide application in geology.

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Jutzeler Grain size distrib volc clasts Stereology, 1 Technique 2012.pdf - Version of Record
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More information

Published date: 16 September 2012
Keywords: Grain size distribution, Grain size analysis, Functional stereology, Volcaniclastic rock, Pyroclastic rock, Welded ignimbrite, Clastic rock
Organisations: Marine Geoscience

Identifiers

Local EPrints ID: 366405
URI: http://eprints.soton.ac.uk/id/eprint/366405
ISSN: 0377-0273
PURE UUID: 305d5a6b-d771-4d99-bcab-446133415839

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Date deposited: 26 Jun 2014 13:16
Last modified: 14 Mar 2024 17:08

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Contributors

Author: Martin Jutzeler
Author: Alex A. Proussevitch
Author: Sharon R. Allen

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