Evidence map›Paper›PMID 38040831›Full record

ArticleScientific reports2023

Insights into the sticking probability of volcanic ash particles from laboratory experiments.

Carolina Diaz-Vecino, Eduardo Rossi, Stefano Pollastri, Allan Fries, Jonathan Lemus, Costanza Bonadonna

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Carolina Diaz-VecinoDépartement des Sciences de La Terre, Université de Genève, Geneva, Switzerland. carolinadiazvecino@gmail.com.
Eduardo RossiDépartement des Sciences de La Terre, Université de Genève, Geneva, Switzerland.
Stefano PollastriDépartement des Sciences de La Terre, Université de Genève, Geneva, Switzerland.
Allan FriesDépartement des Sciences de La Terre, Université de Genève, Geneva, Switzerland.
Jonathan LemusDépartement des Sciences de La Terre, Université de Genève, Geneva, Switzerland.
Costanza BonadonnaDépartement des Sciences de La Terre, Université de Genève, Geneva, Switzerland.
University of Geneva · CH

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung #200020_204315Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung #200021_156255
6 · The paper itself

Abstract

Although the characterization of the sticking and aggregation probability is essential to the description of volcanic ash dispersal and sedimentation, there is still no general model describing the sticking probability of volcanic ash. Experiments of dry particle-plate collisions in an enclosed box were carried out to characterize quantitatively the sticking efficiency of volcanic particles and silica beads in a limit case scenario where the mass of one of the particles is much greater than the others. Silica beads and volcanic particles from a Sakurajima Vulcanian eruption were filmed impacting a glass plate with a High-Speed Camera. The sticking probability is calculated from an equation depending on the particle diameter, impact velocity, and two experimental parameters (a, q). Particle size was found to dominantly control the sticking probability, with small particles more likely sticking on the glass plate than large particles. These experiments represent a significant step forward in the quantification of the sticking efficiency of fine volcanic ash (< 63 μm).

Identifiers

PMID38040831
PMCPMC10692354
OpenAlexW4389237026

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.