AVAST | Advanced Volcanic Ash characteriSaTion

Summary
Advanced Volcanic Ash characteriSaTion

I aim to show how rapid characterisation of volcanic ash particle properties using QEMSCAN® Particle Mineralogical Analysis, an automated mineralogy tool, can help to determine risks to aviation and interpret deformation during volcanic eruptions in order to help predict and respond to volcanic crises.
Through targeted experiments using specialised experimental apparatus, together with checks from cross-correlation and control samples, I will adopt an empirical approach in order to (1) characterise ash particles to identify diagnostic characteristics linked to fragmentation mechanisms that can be used to better inform ash-plume dispersion models and turbine engine resilience tests and to predict ash particle properties during monitored volcanic deformation and (2) challenge conventional wisdom that volcanic deformation is regulated by the strength of ‘intact’ magma and edifice rock and constrain the effects of phase distribution on ash sintering by conducting deformation experiments on progressively sintered ash samples. Through AVAST I will receive training in cutting-edge research techniques and establish intersectoral partnerships, helping to realise my goal as an independent research group leader in volcanology.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/753900
Start date: 01-08-2017
End date: 25-01-2020
Total budget - Public funding: 171 460,80 Euro - 171 460,00 Euro
Cordis data

Original description

Advanced Volcanic Ash characteriSaTion

I aim to show how rapid characterisation of volcanic ash particle properties using QEMSCAN® Particle Mineralogical Analysis, an automated mineralogy tool, can help to determine risks to aviation and interpret deformation during volcanic eruptions in order to help predict and respond to volcanic crises.
Through targeted experiments using specialised experimental apparatus, together with checks from cross-correlation and control samples, I will adopt an empirical approach in order to (1) characterise ash particles to identify diagnostic characteristics linked to fragmentation mechanisms that can be used to better inform ash-plume dispersion models and turbine engine resilience tests and to predict ash particle properties during monitored volcanic deformation and (2) challenge conventional wisdom that volcanic deformation is regulated by the strength of ‘intact’ magma and edifice rock and constrain the effects of phase distribution on ash sintering by conducting deformation experiments on progressively sintered ash samples. Through AVAST I will receive training in cutting-edge research techniques and establish intersectoral partnerships, helping to realise my goal as an independent research group leader in volcanology.

Status

CLOSED

Call topic

MSCA-IF-2016

Update Date

28-04-2024
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Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.3. EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions (MSCA)
H2020-EU.1.3.2. Nurturing excellence by means of cross-border and cross-sector mobility
H2020-MSCA-IF-2016
MSCA-IF-2016