Evidence map›Paper›PMID 30723244›Full record

ArticleScientific reports2019

Low efficiency of large volcanic eruptions in transporting very fine ash into the atmosphere.

Mathieu Gouhier, Julia Eychenne, Nourddine Azzaoui, Arnaud Guillin, Mathieu Deslandes, Matthieu Poret, Antonio Costa, Philippe Husson

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Mathieu GouhierUniversité Clermont Auvergne, CNRS, IRD, OPGC, Laboratoire Magmas et Volcans, F-63000, Clermont-Ferrand, France. M.Gouhier@opgc.fr.
Julia EychenneUniversité Clermont Auvergne, CNRS, IRD, OPGC, Laboratoire Magmas et Volcans, F-63000, Clermont-Ferrand, France.
Nourddine AzzaouiLaboratoire de Mathématiques Blaise Pascal, UMR 6620 CNRS & UCA, Aubière, France.
Arnaud GuillinLaboratoire de Mathématiques Blaise Pascal, UMR 6620 CNRS & UCA, Aubière, France.
Mathieu DeslandesVAAC Toulouse, Météo France, Toulouse, France.
Matthieu PoretIstituto Nazionale di Geofisica e Vulcanologia, Sezione di Bologna, Bologna, Italy.ORCID http://orcid.org/0000-0003-0392-6477
Antonio CostaIstituto Nazionale di Geofisica e Vulcanologia, Sezione di Bologna, Bologna, Italy.ORCID http://orcid.org/0000-0002-4987-6471
Philippe HussonVAAC Toulouse, Météo France, Toulouse, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Volcanic ash clouds are common, often unpredictable, phenomena generated during explosive eruptions. Mainly composed of very fine ash particles, they can be transported in the atmosphere at great distances from the source, having detrimental socio-economic impacts. However, proximal settling processes controlling the proportion (ε) of the very fine ash fraction distally transported in the atmosphere are still poorly understood. Yet, for the past two decades, some operational meteorological agencies have used a default value of ε = 5% as input for forecast models of atmospheric ash cloud concentration. Here we show from combined satellite and field data of sustained eruptions that ε actually varies by two orders of magnitude with respect to the mass eruption rate. Unexpectedly, we demonstrate that the most intense eruptions are in fact the least efficient (with ε = 0.1%) in transporting very fine ash through the atmosphere. This implies that the amount of very fine ash distally transported in the atmosphere is up to 50 times lower than previously anticipated. We explain this finding by the efficiency of collective particle settling in ash-rich clouds which enhance early and en masse fallout of very fine ash. This suggests that proximal sedimentation during powerful eruptions is more controlled by the concentration of ash than by the grain size. This has major consequences for decision-makers in charge of air traffic safety regulation, as well as for the understanding of proximal settling processes. Finally, we propose a new statistical model for predicting the source mass eruption rate with an unprecedentedly low level of uncertainty.

Identifiers

PMID30723244
PMCPMC6363761

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.