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Author Correction: Reliability of Total Grain-Size Distribution of Tephra Deposits (Scientific Reports, (2019), 9, 1, (10006), 10.1038/s41598-019-46125-8)
No full textAn amendment to this paper has been published and can be accessed via a link at the top of the paper
Transient explosions at open-vent volcanoes: The case of Stromboli (Italy)
No full textStromboli is a persistently active, open-vent basaltic volcano whose activity is controlled by
the balance between magma supply, outgassing, and eruptive rates, and is characterized by low-intensity, regular Strombolian explosions. However, two types of large, transient, violent explosive eruptions suddenly occur with no clear precursory activity. These explosions, called “major” and “paroxysmal” depending on size, cover a large variability in intensity and mag- nitude, but are all marked by short duration. Paroxysms have significantly larger intensities (>106 kg/s) than major explosions (104 kg/s) and fundamental differences in the characteris- tics (composition, crystallinity, vesicularity) of the erupted tephra, suggesting that different sources feed these two eruption types. Paroxysms are generated by the explosive fragmen- tation of low-porphyricity (LP) magma mingled with high-porphyricity resident magma in the shallow reservoir, whereas major eruptions are likely associated with destabilization of the lower portion of the shallow magmatic system, continuously hybridized by the arrival of LP magma. In general, the intensity of these explosions is related to the amount of the LP magma erupted (>107 kg in paroxysms and 104–105 kg in major explosions), suggesting that the magma plays a major role in the fragmentation mechanism. Despite its primary impor- tance in the hazards of Stromboli, the total amount of magma erupted in these events in the past 10 years is less than 1% of the total mass erupted by the volcano
Constraining proximal grainsize distribution of tephra from paroxysmal eruptions at Etna volcano
Full text linkThis study examines proximal deposits associated with 17 lava fountains occurring at the South-East Crater between 16/02 and 1/04, 2021. This eruptive crisis gave rise to some of the most intense eruptions at Etna in the last decade. We studied products deposited from 1 to 3.2 km to the south of the vent. Tephra was preserved within and at the top of the snowpack and layers were correlated based on eruption chronology, remote sensing data on the plume dispersal, and precipitation chronology. The grainsize distribution of these proximal and ultra-proximal deposits is multimodal, with Mdɸ ranging from −2.79 and − 1.84, and σɸ 1.34 and 1.80. Refined data (50% of the main population range between Mdɸ −2.63 and − 1.63ɸ, and σɸ 1.01 and 1.41) were used in a comparative study with existing datasets for selected eruptions to assess the representativity of our data and define a Mdɸ/distance correlation along the dispersal axis. Finally, the contribution of proximal data on the total grainsize distribution suggest that they significantly affect the median grainsize values. A complete sampling could decrease it by up to 2 phi units when compared to distribution based only on medial to distal sampling. Results from this study reinforce the importance of collecting samples in proximal areas
Magma and tephra characteristics for the 17–25 May 2016 Mt Etna eruption
Full text linkWe provide the dataset associated with the research data article “Shallow factors controlling the explosivity of basaltic magmas: The 17–25 May 2016 eruption of Etna Volcano (Italy)” Edwards et al. This dataset contains major element data for groundmass glass, plagioclase, olivine and clinopyroxene phenocrysts, and melt inclusions within these phenocrysts, found within tephra and lava from this eruption. We also provide the grain size dataset from the fallout deposits
Controls on the explosivity of scoria cone eruptions: Magma segregation at conduit junctions
No full textViolent strombolian (transitional) eruptions are common in mafic arc settings and are characterized by simultaneous explosive activity from scoria cone vents and lava effusion from lateral vents. This dual activity requires magma from the feeder conduit to split into vertical and lateral branches somewhere near the base of the scoria cone. Additionally, if the flow is separated, gas and liquid (+ crystals) components of the magma may be partitioned unevenly between the two branches. Because flow separation requires bubbles to move independently of the liquid over time scales of magma ascent separation is promoted by low magma viscosities and by high magma H2O content (i.e. sufficiently deep bubble nucleation to allow organization of the gas and liquid phases during magma ascent). Numerical modeling shows that magma and gas distribution between vertical and horizontal branches of a T-junction is controlled by the mass flow rate and the geometry of the system, as well as by magma viscosity. Specifically, we find that mass eruption rates (MERs) between 103 and 105 kg/s allow the gas phase to concentrate within the central conduit, significantly increasing explosivity of the eruption. Lower MERs produce either strombolian or effusive eruption styles, while MER > 105 kg/s prohibit both gas segregation and lateral magma transport, creating explosive eruptions that are not accompanied by effusive activity. These bracketing MER constraints on eruptive transitions are consistent with field observations from recent eruptions of hydrous mafic magmas. © 2009 Elsevier B.V. All rights reserved
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No full textReliability of Total Grain-Size Distribution of Tephra Deposits
Full text linkTotal Grain-Size Distribution (TGSD) of tephra deposits is key to the characterization of explosive volcanism, plume-dispersal modeling, and magmatic fragmentation studies. Nonetheless, various aspects that includes deposit exposure and data fitting make its determination extremely complex and affect its representativeness. In order to shed some lights on the reliability of derived TGSDs, we examine a large TGSD dataset in combination with a sensitivity analysis of sampling strategies. These analyses are based both on a well-studied tephra deposit and on synthetic deposits associated with a variety of initial eruptive and atmospheric conditions. Results demonstrate that TGSDs can be satisfactorily fitted by four distributions (lognormal, Rosin-Rammler, and power-law based either on the absolute or cumulative number of particles) that capture different distribution features. In particular, the Rosin-Rammler distribution best reproduces both the median and the tails of the TGSDs. The accuracy of reconstructed TGSDs is strongly controlled by the number and distribution of the sampling points. We conclude that TGSDs should be critically assessed based on dedicated sampling strategies and should be fitted by one of the mentioned theoretical distributions depending on the specific study objective (e.g., tephra-deposit characterization, physical description of explosive eruptions, tephra-dispersal modeling)
Corrigendum to “Assessing tephra total grain-size distribution: Insights from field data analysis” [Earth Planet. Sci. Lett. 443 (2016) 90–107] (S0012821X16300577)(10.1016/j.epsl.2016.02.040)
No full textThe authors found a mistake in the formulation of the distribution named Bi-Weibull distribution reported in the equation (A.2) of the Appendix A. The error affects equation (4) (which is the same as eq. (A.2)) and Table 4 in the original manuscript. In equation (A.2) the normalization constants were missing and there was an error in the argument of the exponent. The correct normalized distribution is:[formula fresented]. The corrected Table 4 and Fig. A.1 are reported below
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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