The analysis of the influence of pumice shape on its terminal velocity

Dellino, Pierfrancesco; Mele, Daniela; Bonasia, Rosanna; Braia, Giuseppe; Volpe, L. La; Sulpizio, Roberto

doi:10.1029/2005gl023954

Cited by 161 publications

(184 citation statements)

References 18 publications

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“…The terminal velocity of a clast in motion in a fluid is dependent of the viscosity and density of the fluid, and of the size, bulk density and shape of the clast (e.g. Rubey, 1933;Clift et al, 1978;Komar and Reimers, 1978;Sallenger, 1979;Komar et al, 1984;Cashman and Fiske, 1991;Kano, 1996;Crowe et al, 1998;Manville and Wilson, 2004;Dellino et al, 2005;Burgisser and Gardner, 2006). Hydraulic equivalence refers to the condition where clasts differing in size and density are deposited similarly (Burgisser and Gardner, 2006).…”

Section: Of 46mentioning

confidence: 99%

Grain-size distribution of volcaniclastic rocks 2: Characterizing grain size and hydraulic sorting

Jutzeler

McPhie

Allen

et al. 2015

Journal of Volcanology and Geothermal Research

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Proussevitch, A.A.. 2015 Grain-size distribution of volcaniclastic rocks 2: Characterizing grain size and hydraulic sorting. Journal of Volcanology and Geothermal Research. 10.1016/j.jvolgeores.2015.05.019 (In Press) Contact NOC NORA team at publications@noc.soton.ac.ukThe NERC and NOC trademarks and logos ('the Trademarks') are registered trademarks of NERC in the UK and other countries, and may not be used without the prior written consent of the Trademark owner. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. ÔØ Å ÒÙ× Ö ÔØ A C C E P T E D M A N U S C R I P T ACCEPTED MANUSCRIPT Highlights:Functional stereology is efficient to interpret sedimentation mechanisms Simple hydraulic sorting ratios allow inference on styles of deposition Transport and deposition mechanisms can be evaluated from pumiceous rocksModes are more adequate than median to characterize sediment grain size Keywords:Stereology; Image analysis; Hydraulic sorting; Hydraulic equivalence, Grain size distribution; Volcaniclastic rock; Clastic rock; Ohanapecosh; Dogashima; Manukau; Sierra La Primavera. sorting ratios can be applied to any type of clastic rocks, and indifferently on consolidated and unconsolidated samples. A C C E P T E D M A N U S C R I P T ACCEPTED MANUSCRIPT

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Section: Of 46mentioning

confidence: 99%

Grain-size distribution of volcaniclastic rocks 2: Characterizing grain size and hydraulic sorting

Jutzeler

McPhie

Allen

et al. 2015

Journal of Volcanology and Geothermal Research

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“…with the particle dimensions as the denominator and the equivalent circle/sphere dimensions as the numerator. Doing so, sphericity and circularity values always range between 0 and 1, and the shape factor of Dellino et al (2005) becomes the product of sphericity and circularity instead of its ratio. The shape factor of Ganser (1993), also frequently used in ash transport and dispersion models, was not Notes: X-ray mass attenuation coefficients have been calculated by simple additivity using the equation μ/ρ = ∑ i w i (μ/ρ) i .…”

Section: Quantification Of Morphological Featuresmentioning

confidence: 99%

“…e With (a) the longest particle dimension, (b) the longest dimension perpendicular to (a), and (c) the dimension perpendicular to both (a) and (b). f Ratio of sphericity to circularity, with circularity defined as P particle /P circle (s. Dellino et al, 2005;pp. 2-3).…”

Section: Spatial Resolution and Detectabilitymentioning

confidence: 99%

“…These flaws have been corrected in most of the recent numerical models (e.g. Macedonio et al, 2005;Costa et al, 2006;Barsotti et al, 2008;Schwaiger et al, 2012) through the integration of a particle shape factor (Wilson and Huang, 1979;Ganser, 1993;Dellino et al, 2005) accounting for the non-spherical character of volcanic ash. The result is a significant improvement in the modeling of tephra transport and dispersal, which underlines the need for reliable techniques to fully characterize the shape of volcanic ash particles.…”

Section: Introduction and Previous Workmentioning

confidence: 99%

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High-resolution 3D analyses of the shape and internal constituents of small volcanic ash particles: The contribution of SEM micro-computed tomography (SEM micro-CT)

Vonlanthen

Rausch

Ketcham

et al. 2015

Journal of Volcanology and Geothermal Research

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The morphology of small volcanic ash particles is fundamental to our understanding of magma fragmentation, and in transport modeling of volcanic plumes and clouds. Until recently, the analysis of 3D features in small objects (b250 μm) was either restricted to extrapolations from 2D approaches, partial stereo-imaging, or CT methods having limited spatial resolution and/or accessibility. In this study, an X-ray computed-tomography technique known as SEM micro-CT, also called 3D X-ray ultramicroscopy (3D XuM), was used to investigate the 3D morphology of small volcanic ash particles (125-250 μm sieve fraction), as well as their vesicle and microcrystal distribution. The samples were selected from four stratigraphically well-established tephra layers of the Meerfelder Maar (West Eifel Volcanic Field, Germany). Resolution tests performed on a Beametr v1 pattern sample along with Monte Carlo simulations of X-ray emission volumes indicated that a spatial resolution of 0.65 μm was obtained for X-ray shadow projections using a standard thermionic SEM and a bulk brass target as X-ray source. Analysis of a smaller volcanic ash particle (64-125 μm sieve fraction) showed that features with volumes N 20 μm 3 (~3.5 μm in diameter) can be successfully reconstructed and quantified. In addition, new functionalities of the Blob3D software were developed to allow the particle shape factors frequently used as input parameters in ash transport and dispersion models to be calculated. This study indicates that SEM micro-CT is very well suited to quantify the various aspects of shape in fine volcanic ash, and potentially also to investigate the 3D morphology and internal structure of any object b 0.1 mm 3 .

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“…Several empirical fits exist for drag coefficients of spherical and non-spherical particles (e.g. Wilson and Huang, 1979;Arastoopour et al, 1982;Ganser, 1993;Dellino et al, 2005). In particular, Ganser (1993) gave a fit valid over a wide range of particle sizes and shapes covering the spectrum of volcanic particles considered in volcanic column models (lapilli and ash):…”

mentioning

confidence: 99%

FPLUME-1.0: An integral volcanic plume model accounting for ash aggregation

2016

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Abstract. Eruption source parameters (ESP) characterizing volcanic eruption plumes are crucial inputs for atmospheric tephra dispersal models, used for hazard assessment and risk mitigation. We present FPLUME-1.0, a steady-state 1-D (one-dimensional) cross-section-averaged eruption column model based on the buoyant plume theory (BPT). The model accounts for plume bending by wind, entrainment of ambient moisture, effects of water phase changes, particle fallout and re-entrainment, a new parameterization for the air entrainment coefficients and a model for wet aggregation of ash particles in the presence of liquid water or ice. In the occurrence of wet aggregation, the model predicts an effective grain size distribution depleted in fines with respect to that erupted at the vent. Given a wind profile, the model can be used to determine the column height from the eruption mass flow rate or vice versa. The ultimate goal is to improve ash cloud dispersal forecasts by better constraining the ESP (column height, eruption rate and vertical distribution of mass) and the effective particle grain size distribution resulting from eventual wet aggregation within the plume. As test cases we apply the model to the eruptive phase-B of the 4 April 1982 El Chichón volcano eruption (México) and the 6 May 2010 Eyjafjallajökull eruption phase (Iceland). The modular structure of the code facilitates the implementation in the future code versions of more quantitative ash aggregation parameterization as further observations and experiment data will be available for better constraining ash aggregation processes.

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The analysis of the influence of pumice shape on its terminal velocity

Cited by 161 publications

References 18 publications

Grain-size distribution of volcaniclastic rocks 2: Characterizing grain size and hydraulic sorting

Grain-size distribution of volcaniclastic rocks 2: Characterizing grain size and hydraulic sorting

High-resolution 3D analyses of the shape and internal constituents of small volcanic ash particles: The contribution of SEM micro-computed tomography (SEM micro-CT)

FPLUME-1.0: An integral volcanic plume model accounting for ash aggregation

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