Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.771540
Title: Unravelling volcanic processes using novel retrievals of volcanic SO2 from satellite observations
Author: Pardini, Federica
ISNI:       0000 0004 7658 8074
Awarding Body: University of Manchester
Current Institution: University of Manchester
Date of Award: 2019
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Abstract:
The aim of this thesis is to investigate volcanic processes through the numerical analysis of satellite measurements of sulphur dioxide (SO2) plumes emitted during explosive eruptions. SO2 images are numerically inverted to solve for plume height, SO2 flux and other eruptive source parameters such as mass eruption rate and magmatic sulphur (S) content. The inversion is done by computing numerical trajectories initialised from the pixels forming an SO2 image. The HYbrid Single-Particle Lagrangian Integrated Trajectory software (HYSPLIT) performs the trajectory calculation, while custom-built Python routines are used to implement HYSPLIT in a semi-automated numerical procedure which, starting from the satellite data, computes the quantities of interest. The complete numerical procedure, named PlumeTraj, has been applied to investigate SO2 emissions from some recent eruptions, and to infer the triggering mechanisms. Where possible, numerically retrieved quantities have been compared with data coming from ground-based sensors, different satellite retrievals and petrological analyses of tephra products. We show that our numerical approach provides new constraints on SO2 plume height, flux and other eruptive parameters in a fast and robust way. Thus, PlumeTraj and associated approaches could be potentially suitable for operational tasks as those performed by VAACs or volcano observatories, as well as research into eruption and magmatic degassing processes.
Supervisor: Burton, Mike ; Arzilli, Fabio Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.771540  DOI: Not available
Keywords: Remote Sensing ; Numerical modelling ; Sulphur dioxide ; Volcanic eruptions
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